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Enhanced medical education for physically disabled people through integration of iot and digital twin technologies.

1. Introduction

1.1. research gap, 1.2. paper organization, 2. literature review, 3. iot service development using digital twin technology, 3.1. methodology, 3.2. detailing the dimension reduction outcomes, 3.3. crafting the visual response algorithm for digital twin development, 3.4. importance of testing for accurate data collection, 3.5. determining data points and assessing location impact, 3.6. the interplay of design variables and sample points, 3.7. striking a balance between test points and coefficients, 3.8. experimental design necessities for the second-order model.

• Those that integrate with external data, reading from data files to spawn data fields—termed reading source objects.
• Those that instigate data fields within the program, referred to as program source objects.
• Source: This is the starting point where raw data originates. In the context of IoT services, this could be sensors or other data-generating devices.
• Data object: Data from the source is encapsulated into data objects. These objects represent structured data packets that are ready for further processing.
• Filter: Data objects pass through filters which process and refine the data. Filters can perform various tasks such as noise reduction, data normalization, or extraction of relevant features. The diagram shows multiple filters, indicating sequential or parallel data processing stages.
• Mapper: After filtering, the data is passed to a mapper which transforms the processed data objects into a format suitable for visualization or further analysis. This is the final stage in the depicted process.

4. Experimental Analysis

• Operation and maintenance monitoring visualization.
• Information multi-terminal display visualization.
• IoT new service development visualization based on digital twin technology.

4.1. Test Platform’s Purpose and Goals

4.2. pre-experimental setup, 4.3. experimental outcomes, 5. conclusions, author contributions, data availability statement, acknowledgments, conflicts of interest.

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Share and Cite

Kumar, A.; Saudagar, A.K.J.; Khan, M.B. Enhanced Medical Education for Physically Disabled People through Integration of IoT and Digital Twin Technologies. Systems 2024 , 12 , 325. https://doi.org/10.3390/systems12090325

Kumar A, Saudagar AKJ, Khan MB. Enhanced Medical Education for Physically Disabled People through Integration of IoT and Digital Twin Technologies. Systems . 2024; 12(9):325. https://doi.org/10.3390/systems12090325

Kumar, Abhishek, Abdul Khader Jilani Saudagar, and Muhammad Badruddin Khan. 2024. "Enhanced Medical Education for Physically Disabled People through Integration of IoT and Digital Twin Technologies" Systems 12, no. 9: 325. https://doi.org/10.3390/systems12090325

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A Reader on Data Visualization

Chapter 3 case studies.

This chapter explores some interesting case studies of data visualizations. Critiquing these case studies is a valuable exercise that helps both expand our knowledge of possible visual representations of data as well as develop the type of critical thinking that improves our own visualizations. Furthermore, the examination and evaluation of case studies help show that new designs are just as usable as existing techniques, demonstrating that the field is suitable for future development.

3.1 Introduction

Visualization is like art; it speaks where words fail. The usefulness of data visualizations is not just limited to business and analytics; visualizations can explain almost anything in the world. Wars, rescue operations, social issues, etc. can be visualized to synthesize the details important details relevant to the issues. In particular, phenomena like the Syrian war, the number flights during Thanksgiving in the USA, the controversy of ‘#OscarsSoWhite,’ etc. present such complexity that we can write endless paragraphs and still fail to convince readers. Below are visualizations of some of these important and complex topics - visualizations that are much more persuasive than an essay, and with a tiny fraction of the text.

Many of the case studies mentioned below come from the following articles:

3.2 Geographic Visualizations

Geovisualization or geovisualisation (short for geographic visualization), refers to a set of tools and techniques supporting the analysis of geospatial data through the use of interactive visualization. Like the related fields of scientific visualization and information visualization geovisualization emphasizes knowledge construction over knowledge storage or information transmission.To do this, geovisualization communicates geospatial information in ways that, when combined with human understanding, allow for data exploration and decision-making processes. Source: (contributors 2019 a ) More specifically, Geovisualization is a process that alters geographic information so that we can consume it with our eyes. Its purpose is to capitalize on our affinity for visual things and convert the seemingly random collection of information available to us into a form that can be quickly understood. Many tools can be used for Geographic Visualization, such as Mapbox,Carto,ArcGIS Online and HERE Data Lens. Source: (Gloag, n.d. : Tools & Techniques)

Often, people use maps to visualize data that should not be mapped. Here are some examples of when a map visualization is a good choice.

3.2.1 Spies in the Skies

The map below is from a Buzzfeed article (Aldhous and Seife 2016 ) that shows how common it is for the government to observe people. It was filled with red and blue lines (representing FBI and DHS aircraft, respectively) which illustrate the flight paths of the planes. When planes circle an area more than once, the circles become darker. The circles change by day and time, and individual cities can be typed into a search bar to see the flight patterns over them. The visualization rather creatively looks almost like a hand-drawn map. While presenting an ordinarily uncomfortable topic, this allows individuals to check things for themselves, hopefully providing some peace of mind.

Source: (Kayla Darling 2017 )

New York Flight Patterns

3.2.2 Two Centuries of U.S. Immigration

This interactive map from (Galka 2016 ) shows the rate of immigration into the U.S. from other countries over the last 200 years in 10-year segments. Each colored dot represents 10,000 people coming from the specified country. Countries then light up when they have one of the highest rates of migration. A tracker on the left indicates what countries sent the most people to the U.S. at what times.

This is a good visualization because it is engaging and easy to read and interpret. The movement of the dots draws the reader’s attention while the brightly lit countries make it easy to pick out the highest total migrations. The bright colors and dark background help the information stand out. This map is a bit simple, but effective.

Source: (Kayla Darling 2017 ) .

US Immigration

3.2.3 Uber: Crafting Data-Driven Maps

Map visualization is essential for companies like Uber that need to track metrics using geo-space points. In this article, the designer from Uber talks about the challenges of designing such visualizations and the possible solutions (Klimczak 2016 ) .

To tackle these problems, Uber started by defining base map themes by optimizing detail, color, and typography. Based on that, data layers are added using scatter plots and hex bins, with careful color selection to help their team make decisions. To make it even better, Uber took a further step by adding trip lines (see images below), which became a signature visualization of Uber. Choropleths are also used to help visualize how metrics and values differ across geographic areas. Uber uses US postal codes as geographic boundaries and infuses various datasets to create the color variation.

The visualization in this article is a classic problem of visualizing geographic data. The detailed explanation of the problems and how they are solved can be beneficial for people or startups trying to conceptualize and make appropriate visualizations that support the decision-making process.

Uber Route Maps

Source: (Klimczak 2016 )

3.3 Demographic Comparisons

One common use of visualization is to compare different groups against each other, such as political parties or generations.

3.3.1 Young Voters, Class and Turnout: How Britain Voted in 2017

This article’s goal is to convey the change in party votes in the 2017 UK general election compared to votes in 2015 (Holder, Barr, and Kommenda 2017 ) . The change in party votes was shown with regards to three demographic factors: age, class, and ethnicity. For each factor, there are four graphs (one per political party), each illustrated in the party’s standard color. The change in the percent of votes is shown as an arrow where the arrow’s shaft is the length of the difference from 2015 to 2017 while the x-axis is the demographic factor split into different bins.

This a good visualization because it is straightforward to read and interpret. The color-coding of the arrows and party names makes it easy to pick out the different parties. The index is smartly spread across the visualization to reduce cross-referencing, and color in the graph represents the actual party colors in the campaign. The arrow lengths highlight just how significant of a change happened. For example, in the Age section, it is easy to see the pattern between the Labour party gaining many voters aged 18 to 44 and the Conservative party gaining voters aged 45 and up.

UK Party Votes by Age

Source: (Holder, Barr, and Kommenda 2017 )

3.3.2 U.S. Migration Patterns

The New York Times data team mapped out Americans’ moving patterns from 1900 to present, and the results are fascinating to interact with (Aisch, Gebeloff, and Quealy 2014 ) . We can see where people living in each state were born, and where people are moving to and from. The groupings of the destinations vary based on that state’s trends, preventing unnecessary clutter while still showing detail when vital, as can be seen by the difference between the charts for California and Pennsylvania. When generating interactive charts, one must always assume that the audience will not interact with it. The message of a chart has to be clear enough that anyone just viewing the generic chart can understand.

Overall, this type of chart can work well to visualize movement in data over time, such as with migration. However, it must be done carefully to maintain clarity. Too many categories with colors and crossing lines can make it difficult for a reader to keep track of what the data is saying and it can quickly go from a very graphic visualization to a chaotic mess of lines. The designer does a pretty good job with these visualizations by limiting the number of categories in grouping states by region (West, South, Midwest, etc.). But when introducing many dimenional variables such as Migration from Pennsylvania, the chart can quickly turn convoluted and hard to read which costs the audience. Finally, it is not completely clear why so many crossing lines are necessary for the Pennsylvania chart. The crossing lines, along with the use of the same color for different lines within the same regional categories, can introduce unnecessary complexity.

Migration from California

Migration from Pennsylvania

Source: (Aisch, Gebeloff, and Quealy 2014 )

3.3.3 The American Workday

NPR tapped into American Time Use Survey data to ascertain the share of workers in a wide range of industries who are at work at any given time (Quoctrung Bui 2014 ) . The original question of when Americans work, rather than the number of hours worked, is answered in the graph. The chart overlays the traditional 9 AM-5 PM standard workday as a reference point, helping the audience draw exciting conclusions. Below is a screenshot of the data product; the original graph is more interactive and allows the audience to explore when people are working for different occupations.

Some interesting findings include: 1. Construction workers both start and finish their workday earlier and generally do not work at lunch hours as there is a massive drop at noon.

• Servers and cooks’ schedule are the opposite of all other occupations with the peak from lunch through the evening.

This data product is an excellent example because the analytic design has been applied to contrast specific occupations to the traditional 9-5 working hours. This is easy to understand and make particular occupations stand out more manageable. The use of color for highlighting the selected occupation in the graph helps to categorize different occupations as well.

3.3.4 How People Like You Spend Their Time

This visualization from (Yau 2016 ) lists several categories such as “personal care” and “work” along one side of a graph with a line illustrating the amount of time the average person in a particular demographic spends on each subject. Entering different parameters at the top, such as changing gender or age, causes the lines to shift to feature that demographic. The simplicity of this visualization helps the information get across and avoids bogging down the statistics. Sometimes, less is more.

3.3.5 Britain’s Diet In Data

This is an excellent example about how to present a significant amount of comprehensive data - distributed across different categories and measured in different metrics - in a simple yet effective manner, while still maintaining interest and aesthetics. The data product attempts to show how the average Briton’s diet has changed over the last four decades for the better (Institute 2016 ) . It does this by displaying simple trend lines that show that more harmful and fatty foods are being consumed less while consumed more healthier and leaner foods. It further breaks down every major food category into tens of its constituent products, and in both the overview and deep-dive versions, provides further levers to massage more meaning out of the data. It also shows how the contribution of different foods to the typical diet has changed over the years. Here, we can toggle the year to see exactly how much of each food was consumed, again with another deep-dive into the constituents of every primary food group.

Such a visualization is ideal for a layman who would want to walk away with an immediate and accurate understanding of the overall dietary changes. It also provides plenty detail on demand for the more discerning viewer who might have more time and inclination to dissect and parse through the graphs. It is difficult to use the same data product to cater to both types of viewers in such an adequate capacity, which is what makes this particular data product so impressive and useful. It satisfies the principles of graphical excellence as stated by Edward Tufte : >“Graphical excellence is that which gives to the viewer the greatest number of ideas in the shortest time with the least ink in the smallest space.”

Source: (Tufte 1986 )

3.3.6 Selfie City

Selfie City, a detailed multi-component visual exploration of 3,200 selfies from five major cities around the world, offers a close look at the demographics and trends of selfies (Manovich et al. 2014 ) . This project is based on a unique dataset compiled by analyzing tens of thousands of images from each city, both through automatic image analysis and human judgment. The team behind the project collected and filtered the data using Instagram and Mechanical Turk. Rich media visualizations (imageplots) assemble thousands of photos to reveal interesting patterns. It provides a demographic and regional comparison of selfies.

Estimated Age and Gender Distribution

Source: (Manovich et al. 2014 )

3.3.7 Evolving Demographics

Another frequent use is to look at how something changes over time. Time-series data can be shown many ways, and these are some examples.

3.3.7.1 Millennial Generation Diversity

CNNMoney created an interactive chart using U.S. Census Data to show the size and diversity of the millennial generation compared to baby boomers (Kurtz and Yellin 2018 ) . While the article’s main point is that the millennial generation is bigger and more diverse than the baby boomer generation, it also contains information about all of the other living generations. It turns hard numbers into an intriguing story, illustrating the racial makeup of different age groups from 1913 to present.

The author also summarized three key findings from the graph: 1| The most common age in the US is 22 years old. 2| The median age in the US is 37.6 years old. * 3| Among the youngest generation, only 50% of the population is white with the potential of dropping from the biggest race in the US.

Racial Diversity of US Generations

Source: (Kurtz and Yellin 2018 )

This is an effective graph because while it contains many data points, it makes the overall trends very clear without sacrificing much detail. You can see the drop in some white people and the increasing growth of the other racial categories.

3.3.7.2 How the Recession Reshaped the Economy, in 255 Charts

The first large graph contains 255 lines to show how the number of jobs has changed for every industry in America, using color to highlight the lines and let viewers see the specifics for each industry (Ashkenas and Parlapiano 2014 ) . By hovering over a line, viewers can get the detailed information of that industry’s job trend. Keeping this extra data hidden until needd will make it easier for readers to absorb the bigger picture from this vast data visualization. Following charts are subsets categorized by job sector and sub-industries. Readers can choose the industry or sector they are interested in and, similar to the first graph, view the more detailed information by hovering over a line.

Source: (Ashkenas and Parlapiano 2014 )

3.3.7.3 An Aging Population: Projected Number of Children and Older Adults

An aging population is always a hot topic in social economics and politics (United States Census Bureau 2018 ) . Here we explore a collection of data visualizations showing the aging population in the U.S. and the world.

Source: (United States Census Bureau 2018 )

This example includes a bar chart and a line graph to demonstrate the aging population compared with the population of children. This visualization allows easy comparison, employs color to differentiate the categories, and highlights the intersection point.

3.3.7.4 From Pyramid to Pillar: A Century of Change, Population of the U.S.

This is a population pyramid . “A population pyramid is a pair of back-to-back histograms for each sex that displays the distribution of a population in all age groups and in gender” (Bureau 2018 b ) . It is good to visualize changes in population distributions (sex, age, year). The shape of a pyramid is also used to represent other characteristics of a population. To illustrate, A pyramid with a very wide base and a narrow top section suggests a population with both high fertility and death rates. It is a useful tool to make sense of census data. (“An Aging Population,” n.d. ) offers an animated pyramid.

Comparison of aging population in US and Japan

Source: (“An Aging Population,” n.d. )

This is an animated and multiple-population pyramid. It used to compare different patterns across countries. One additional benefit for the interactive population pyramid is that it shows the shape changes by year, which is useful for time-series comparison. A similar project with R code is here .

3.3.7.5 Music Timeline

Google’s Music Timeline illustrates a variety of music genres waxing and waning in popularity from 2010 to the present day, based on how many Google Play Music users have an artist or album in their library, and other data such as album release dates (Google 2014 ) . One useful feature of this graph is the reader’s ability to explore one specific genre and its subgenres at a more detailed level, as well as view the general timeline of all music. The drill-down interaction allows for more details without cluttering the overview of the visualization. Embedding the graph with names (e.g., Rock/Pop) makes similar color lines easy to distinguish.

Source: (Google 2014 )

3.4 Visualizing Urban Data for Social Change

(Neira 2016 )

One field in which visualization can have a meaningful social impact is promoting understanding of and generating discussions around cities. With the development of a city, demographic changes, economic, environmental and social problems become important issues. Visualization plays an important role in promoting understanding of how the cities and the societies within them work, debating the problems that cities face, and engaging citizens to work toward their dream cities.

Recently, as part of Habitat III side event , LlactaLAB - Sustainable Cities Research Group, presented a project called Live Infographics. It was an interactive methodology that put citizens and experts opinions about the New Urban Agenda on one platform to help generate a ‘horizontal governance’. The different opinions were materialized with a dynamic map to visualize the generated data. The primary objective of the project is to generate citizen-led data collection and to enable governments to build a better understanding of public sentiment, and then engaging people in the process.

A great Urban Data Visualization ought to have the capacity to start “Sociological Imagination”. It should provoke individuals to consider how their individual choices, issues, struggles, and in general their daily lives, are a extension of society, and how their choices collectively influence public opinion. Another key aspect of these kinds of data visualizations is their ability to make the audience understand how their activities impacts the cities they live in and help them work towards the betterment of the cities.

The following is an example of a visualization that is trying to effect social change. It shows how different states are populated on our way to wealth at the cost of the Environment and the percentage of adults who support the cause by estimating public opinions. Source : (“We Have Poluted Our Way to the Wealth in the Expense of the Environment,” n.d. )

Urbanization and the spread of information technologies transform Cities into huge data pools, that data will play a major role in understanding how city areas have changed and are likely to change in the future. Urban Data Visualization gives us a quick view of the architectural contrast of Urban changes in Cities. (MORPHOCODE 2019 )

This Urban Data Visualization based on the NYC Department of City Planning Data set, the result is a snapshot of Brooklyn’s evolution, revealing how development has rippled across certain neighborhoods while leaving some pockets unchanged for decades, even centuries. The visualization is interactive, the reader can check every block’s name and built year. (MORPHOCODE 2019 )

As urban areas continue to develop, diverse and complex issues evolve along with them. Disparity, isolation, loss of biodiversity and environmental quality, etc. are all important but thorny issues, and finding successful solutions will require uniting strategy producers, academics, designers, and citizens. Visualization, if done right, can help jumpstart important discussions between these diverse groups of people and help solve the issues that emerge as the world becomes more urbanized.

3.5 Animated Data Visualization

Like evolving demographics, these visualizations are demographics that change over time. These, however, are self-animated instead of interactive.

3.5.1 A Day in the Life of Americans

This animated data visualization shows the time people spend on daily activities throughout the day (Nathan Yau 2015 b ) . The plot is simple and easy to interpret, but it also includes a good number of variables including time, activity type, number of people doing each activity, and the order in which activities are done.

One of the plot’s biggest strengths is that by using one dot to represent each person in the study and using animation, we can drill down to the level of an individual and follow him or her throughout the day. The accumulation of dots for each particular activity also gives us an aggregate-level view of the same data, so that we get both individual and aggregate insights.

A drawback of the plot is that it is hard for our eyes to keep track of 1000 simultaneously moving dots. The author of the post addresses this by creating subsequent plots with stationary lines at crucial times of the day. This represents people’s movements from one activity to another without overwhelming the reader.

Overall, this is an engaging, informative, relevant, and fun animated plot that tells a story.

Source: (Nathan Yau 2015 b )

3.5.2 Hans Rosling’s 200 Countries, 200 Years, 4 Minutes

Global health data expert Hans Rosling’s famous statistical documentary “The Joy of Stats” aired on BBC in 2010, but it is still turning heads. In the remarkable segment “200 Countries, 200 Years, 4 Minutes”, Rosling uses augmented reality to explore public health data in 200 countries over 200 years using 120,000 numbers, in just four minutes (Rosling, Hans 2010 ) .

Screenshot from “200 Countries, 200 Years, 4 Minutes”

Source: (Rosling, Hans 2010 )

What makes this visualization so well-known is its use of animation and narration to highlight different stories within the overall data. While the visualization could have been made as an interactive chart where the audience can select the year, instead it is a video. Rosling’s narration of how various regions have fluctuated over the last two hundred years is necessary for his argument since there is no other description or explanation.

3.6 Dust in the Wind: Visualization and Environmental Problems

Environmental issues can quickly become extremely complex. When dealing with assessments of site, environmental remediation design, monitoring, environmental litigation, the quantity of data involved can quickly become overwhelming. Maintaining and organizing that data and keep a balance is insufficient. Visualization is the only means for condensing and communicating vast quantities of data. Visualization provides an invaluable tool to communicate complex data in a form that makes it intelligible to all parties. There are many case studies on visualization of environment-related issues. Some of them are mentioned below:

3.6.1 Global Carbon Emissions

This data visualization, based on data from the World Resource Institute’s Climate Analysis Indicators Tool and the Intergovernmental Panel on Climate Change, shows how national CO₂ emissions have transformed over the last 150 years and what the future might hold. It also allows the audience to explore emissions by country for a range of different scenarios (World Resources Institute 2014 ) .

Source: (World Resources Institute 2014 )

3.6.2 What’s really warming the world?

This case study begins by clearly explaining necessary background information and the analytic questions it seeks to answer. Next, it analyzes each factor separately using both verbal explanations and dynamic graphics to compare the observed temperature movements, and then categorizes related factors into “natural factors” or “human factors.” After that, it combines all the dynamic graphics into one, which makes the results more accessible and more straightforward to compare. Lastly, the authors provide further detailed explanations of dataset sources to support their results. Overall, this case study is straightforward, easy to understand and informative (Roston and Migliozzi 2015 ) (Crooks 2017 ) .

Source: (Roston and Migliozzi 2015 )

3.6.3 Understanding Plastic pollution using visualization

Plastic pollution is the accumulation of plastic products in the environment that adversely affects wildlife, wildlife habitat, or humans. Human usage of plastic has increased manifolds in last few decades. Since plastic is inexpensive and durable, it has a wide variety of uses in our everyday life. Since the 1950’s, an estimated 6.3 billion tons of plastic has been produced, of which only about 9% is recycled (contributors 2019 b ) .

Plastic has become part of our daily life, and human dependence on plastic has increased over time. The visualization below shows some common plastic products undermining environmental health. (Grün 2016 )

With a share of 26 percent, China may be the largest plastic producer in the world; yet the largest plastic consumer is neighboring Japan. The people living in the island nation have consumption that exceeds that of Africa and the rest of Asia combined.

Donut chart is a modern version of pie-chart which looks cleaner, and embedded visual imagery makes the distribution easy to understand. (Grün 2016 )

Plastic Use: Industrial nations top the charts (Grün 2016 )

This visualization uses a simple line chart to show increasing trends. A positive aspect of this chart is the removal of the vertical grid which creates noise in the visualization when its objective is to show the trend, rather than the numbers.

“Plastic where it shouldn’t be” combines four large-scale plastic marine pollution datasets, each published in a different scientific journal over the last five years, totaling 9,490 surface net tows. It is a symbol map shows the amounts of plastic wastes distribute in oceans. Please note: just because there is no plastic displayed in a certain region does not mean that it isn’t there. The open ocean is vast and pollution research is both time- and cost-intensive. (Moret 2014 )

How long does plastic remain in the ocean? (Grün 2016 )

Overall, this visualization is useful in the following ways:

• It provides content: those plots serve one of the primary purposes of data visualization - storytelling. It naturally leads the audience to understand the effects of plastic pollution.
• Effective use of charts: the correct use of different types of plots makes the visualization both effective and exciting.
• Efficient use of color: this visualization is a good example of color playing an essential role in a data visualization by guiding the reader to grasp the relationships in the data. There is no redundant color, and no primary color is missing.

3.7 Language

3.7.1 green honey.

Language shapes the way we view the world. Different languages may have vastly different ways of describing things—including color.

Source: (Lee 2016 )

3.7.2 Linguistic Concepts

This case study is about the use of linguistic concepts; it discusses how the data is being used and how visual graphics are used to deliver the central insights. It presents an educational tool that integrates computational linguistics resources for use in non-technical undergraduate language science courses. By using the tool in conjunction with case studies, it provides opportunities for students to gain an understanding of linguistic concepts and analysis through the lens of practical problems in feasible ways. (Alm, Meyers, and Prud’hommeaux 2017 ) .

HistoBankVis is a novel visualization system designed for the interactive analysis of complex, multidimensional data to facilitate historical linguistic work (Michael Hund 2015 ) . In this paper, the visualization’s efficacy and power are illustrated utilizing a concrete case study investigating the diachronic interaction of word order and subject case in Icelandic.

Much of what computational linguists(CL) fall back upon to improve natural language processing and model language “understanding” is the structure that has, at best, only an indirect attestation in observable data. The sheer complexity of these structures and the visible patterns on which they are based, however, usually limit their accessibility, often even to the researchers creating or studying them. Traditional statistical graphs and custom-designed data illustrations fill the pages of CL papers, providing insight into linguistic and algorithmic structures, but visual ‘externalizations’ such as these are almost exclusively used in CL for presentation and explanation. There are particular statistical methods, falling under the rubric of “exploratory data analysis,” and visualization techniques just for this purpose are available. However, these are not widely used. These novel data visualization techniques offer the potential for creating new methods that reveal structure and detail in data. Visualization can provide new ways for interacting with large corpora, complex linguistic structures, and can lead to a better understanding of the states of stochastic processes.

3.7.3 State of the Union 2014 Minute by Minute on Twitter

Twitter’s data team assembled an impressive interactive data hub that depicts how Twitter users across the globe reacted to each paragraph of President Obama’s 2014 State of the Union address (Belmonte 2014 ) . You can slice and dice the data by topic hashtag (for example, #budget, #defense, or #education) and state, resulting in a powerful detailed and cluttered visualization. Since the visualization is about the topic density in a specific time frame, maybe it’s a good idea for us to use this kind of format when we encounter the expression of a poisson distribution.

Source: (Belmonte 2014 )

3.8 Political Relationships

3.8.1 connecting the dots behind the election.

This article in the New York Times lists several different candidates and creates compelling visuals that link their campaigns to previous ones (Aisch and Yourish 2015 ) (Kayla Darling 2017 ) . Each visual contains several different sized dots that represent a specific campaign, administration, or other governmental organization related to the candidate’s current campaign, which is then connected by arrows. Hovering over a specific dot highlights the connections between the groups. This visual is a great way to summarize what would otherwise require a long slog through years of information into an easily accessible and viewable format so that voters can figure out where the candidates’ experiences lie.

Clinton 2016 Campaign Staff

3.8.2 A Guide to Who is Fighting Whom in Syria

One of the charts shown in the link (Crooks 2017 ) , the visualization of ‘A Guide to Who is Fighting Whom in Syria’ is an exciting graphic to study. The visualization and its report can be seen at (Keating and Kirk 2015 ) .

Who is Fighting Whom in Syria

Source: (Keating and Kirk 2015 )

This visualization helps elucidate an extremely complicated topic like the Syrian War. It consists of 3 different emojis in three different colors, with each color and facial expression combination showing the ties and conflicts between the various groups involved in the Syrian War. When you click on each emoji, a small dialogue box pops up that explains the relationships between the various countries and rebel groups involved in the war. This is not only easy to understand but is also pleasing to the eyes.

On the other hand, the inherent complexity of relationships between different groups make it difficult to understand the complete picture. If the list of involved parties could be sorted by simplified “sides” (such as Syrian Government on one end with Syrian Rebels on the other) or ranked by how liked they are, then it may be easier for a trend to emerge at first glance. Also, the table format of the visualization means that the data is duplicated, making it appear even more complicated. Instead, one side of the diagonal divide could be greyed-out to simplify the audience’s experience with this visualization.

Green emoji shows ‘Friendly’ relationship

Red emoji shows the ‘Enemies’ relationship

Yellow emoji shows ‘Complicated’ relationship

3.9 Uncategorized

3.9.1 simpson’s paradox.

The Visualizing Urban Data Idealab (VUDlab) out of the University of California-Berkeley put together this visual representation of data that disproves the claim in a 1973 suit that charged the school with sex discrimination. Though the graduate schools had accepted 44% of male applicants but only 35% of female applicants, researchers later uncovered that if the data were properly pooled, there was a small but statistically significant bias in favor of women. This is called a Simpson’s Paradox.

By “properly pooled,” the investigators meant broken down by the department. For instance, men were more inclined towards science and women towards humanities. When compared to each other, the science departments required more specialized skills while the humanities would accept applicants with a more standard undergrad curriculum, thus creating the Simpson’s Paradox.

Simpson’s Paradox originally from vudlab.com

Source: (Lewis Lehe 2013 )

3.9.2 Every Satellite Orbiting Earth

This interactive graph, built using a database from the Union of Concerned Scientists, displays the trajectories of the 1,300 active satellites currently orbiting the Earth. Each satellite is represented by a circular icon, color-coded by country and sized according to launch mass (Yanofsky and Fernholz 2015 ) .

Low Earth Orbit Satellites

Source: (Yanofsky and Fernholz 2015 )

Interactive graph have its own specific advantages. It helps bridge the gap between programmers and non-programmers. This plot is a good example why using interactive graph is a good idea: - It provides an intuitive way for anyone to understand the data regardless of their technical knowledge. - It helps to identifying causes and trends more quickly - It tells a consistent story through data - It improves efficiency of representing data

3.9.3 Malaria

The authors of Vizwiz redesigned “The Seasonality of Confirmed Malaria Cases in Zambia Southern Province” by pointing out what works well, what could be improved, and why their new visualization will be better (Andy 2009 ) .

This chart below shows number of malaria cases reported for health facilities and community health workers and a comparison between the two over the years. From this chart we can clearly see that as summer approaches, cases of malaria increase indicating a seasonality. The colors are also distinct from each other.

The original visualization effectively shows the seasonality of malaria cases but is unclear if the two reporting categories are stacked or one behind the other and is rather garish. The creator of the redesign made the seasonality more obvious by combining the reporting categories and explaining the spikes better.

Furthermore, by adding the yearly data split by districts, we can lead to a possible actionable solution to the study of malaria cases in Zambia which is an important objective of visualization. The author has combined the data to find out what the data looks like when combined with health facilities and health workers. And the usage of the color scheme is much more effective than the previous version which makes seasonality more evident.

3.9.4 Is it Better to Rent or Buy?

There are many factors involved in deciding to rent or buy a house which has led to many calculators that are supposed to simplify this decision. This calculator includes several sloping charts, each including a factor that will affect how much you will have to pay, such as the individual cost of your home and your mortgage rates (Bostock, Carter, and Tse 2014 ) . A movable scale along the bottom of each chart allows you to enter different data, such as changing the “cost of rent per month” on the side. This can be useful for price comparison: if you can find a similar house to rent for that much per month or less, it is more cost effective just to rent the home. This visualization is incredibly thorough and a useful tool for homeowners of any age and status.

Source: (Bostock, Carter, and Tse 2014 )

3.9.5 An Interactive Visualization of NYC Street Trees

Using data from NYC Open Data, this interactive visualization shows the variety and quantity of street trees planted across the five New York City boroughs (Zapata 2014 ) . As the reader hovers over a tree or bar segment, the connected sections light up, making it easier for the reader to look at what otherwise could have been a very dense chart.

We can see what some of the familiar and uncommon trees planted in the five boroughs of New York City are. This visualization allows one to see the distribution quickly. One can make inferences based on the distribution, such as trees in the Bronx and Manhattan seem to be distributed more uniformly compared to the other three boroughs. It gives a direct comparison between the five boroughs which could be used to make a compelling decision by the audience.

NYC Street Trees

Source: (Zapata 2014 )

The interactive visualization is an advantage that enables the display, and intuitive understanding of multidimensional data provides a variety of visualization chart types and enables the audience to accomplish traditional data exploration tasks by making charts interactive. Moreover, this visualization provides a good example: it enables the audience to explore on their own and finds exciting facts about NYC street trees.

3.9.6 Adding up the White Oscars Winners

A visualization of all previous winners of the Best Actor/Actress Oscar winners can be seen in an article by Bloomberg (“Adding up the White Oscar Winners” 2016 ) . From the attributes of past Oscars winners, the authors have developed a set of attributes that they believe will continue to be prevalent in future Oscar winners. It is fascinating to see how the article shows the features of the Best Actress, Actor, movies, etc. in a simple and captivating visual.

The visualization is interactive, and we can click on each attribute like ‘Hair Color,’ ‘Eye Color,’ etc. to see the features of the actors and actresses who are likely to win the Oscars. Based on different attributes selected, the visualization changes to give you the data specific to the attributes. For each attribute selected, it gives you a fact about the selected attribute related to the Oscar Winner. For instance, when you select the race, it states “In the entire history of the Oscars all but 8 of the Best Actors and Best Actresses have been white”. Similarly, the visualization also gives information about the different aspects of movies that are more likely to win, like ‘Length,’ ‘Month,’ ‘Budget,’ etc., and also predict about the future nominees who are likely to win Oscar.

Best Actor and Best Actress

Best Picture

Source: (“How to Build an Oscar Winner” 2015 )

3.9.7 Kissmetrics blog: visualization of metrics

Kissmetrics blog is a place where people talk about analytics, marketing, and testing through narratives and visualization of metrics. Metrics are essential in the real world, especially when developing/promoting products. Visualization of metrics is also essential so that stakeholders can monitor performance, identify problems and dive deep into potential issues.

This example from the Kissmetrics blog is about Facebook’s organic reach (Patel 2018 ) . One crucial point discussed in the blog is whether the Facebook’s organic reach is decreasing drastically.

The general trend shows that there is a considerable decline in Facebook’s page organic reach.

The following graphs show that the engagement is increasing; that is, while the quantity of content is decreasing, the quantity is increasing.

Source: (Patel 2018 )

This resonates with what we have learned at class regarding how different perspectives of interpreting data can lead to different conclusions.

3.9.8 Describe Artists with Emoji

Using the data from Spotify, the author listed the ten most distinctive emoji used in the playlists related to favorite artists (Insights 2017 ) . The table being used in this visual is very straightforward to link the artist to the emojis and is very easy to compare among artists. When you hover over the emoji, further information is presented.

Source: (Insights 2017 )

3.9.9 Goldilocks Exoplanets

Using data from the Planetary Habitability Laboratory at the University of Puerto Rico, the interactive graph on Astrobiology plots planetary mass, atmospheric pressure, and temperature to determine what exoplanets might be home, or have been home at one point, to living beings (Tomanio and Gonzalez Veira 2014 ) .

One highlight of the graph is how color has been used. The red dots represent planets that are too hot, the blue dots mean too cold, and the green ones mean just the right temperature. This is very intuitive for people to understand without the necessity to read through the notes. The dots are semi-transparent so the overlapping of planets does not detract from the audience’s ability to read the graph. (VERGANO 2014 )

Additionally, the size of each dot represents the radius of each planet. At first glance, one might assume that most planets are much larger than Eath, but the visualization includes a note explaining that larger planets are easier to find. This is a good example of how much explanation to include in a visualization, not so much that the audience is distracted from the graph but enough that they have the information needed to interpret it.

Source:[Astrobiology]

3.9.10 Washington Wizards’ Shooting Stars

This detailed data visualization demonstrates D.C.’s basketball team’s shooting success during the 2013 season (Lindeman and Gamio 2014 ) . Using statistics released by the NBA, the visualization allows viewers to examine data for each of 15 players. For example, viewers can see how successful each player was at a variety of types of shots from a range of spots on the court, compared to others in the league.

Source: (Lindeman and Gamio 2014 )

Generally this is a data visualization for following reasons because it demonstrates complex infomation in a simple and topic-related format. It highlights fact numbers to tell important information. The use of colr is retrained but efficient. However, it is undefined that what is targeted audience. It can also reduce cognitive overload for lines.

3.9.11 Visualization of big data security: a case study on the KDD99 cup data set

This paper utilized a visualization algorithm together with significant data analysis to gain better insights into the KDD99 dataset:

Abstract Cybersecurity has been thrust into the limelight in the modern technological era because of an array of attacks often bypassing new intrusion detection systems (IDSs). Therefore, deciphering better methods for identifying attack types to train IDSs more effectively has become a field of great interest. Critical cyber-attack insights exist in big data; however, an efficient approach is required to determine strong attack types to train IDSs to become more active in critical areas. Despite the rising growth in IDS research, there is a lack of studies involving big data visualization, which is crucial. The KDD99 dataset has served as a reliable benchmark since 1999; therefore, this dataset was utilized in the experiment. This study utilized a hash algorithm, a weight table, and sampling method to deal with the inherent problems caused by analyzing big data: volume, variety, and velocity. By utilizing a visualization algorithm, the researchers were able to gain insights into the KDD99 dataset with precise identification of “normal” clusters and described distinct clusters of possible attacks.

To read the full paper, please follow the reference link:

(Ruan et al. 2017 )

3.9.12 The Atlas of Sustainable Development Goals 2018 - Data Visualization of World Development

(TEAM 2018 )

This is an exciting source and an excellent visual guide to data and development. It discusses trends, comparisons, and measurement issues using accessible and shareable data visualizations. As the graphs cite below, they are informative and clean:

The data draws on the World Development Indicators- the World Bank’s compilation of internationally comparable statistics about global development and the quality of people’s lives. For each of the SDGs, relevant indicators have been chosen to illustrate important ideas. The Atlas features maps and data visualizations, primarily drawn from World Development Indicators (WDI) - the World Bank’s compilation of internationally comparable statistics about global development and the quality of people’s lives.

The editors have been selected to emphasize on essential issues by experts in the World Bank’s Global Practices. The Atlas aims to reflect the breadth of the Goals themselves and presents national and regional trends and snapshots of progress towards the UN’s seventeen Sustainable Development Goals related to: poverty, hunger, health, education, gender, water, energy, jobs, infrastructure, inequalities, cities, consumption, climate, oceans, the environment, peace, institutions, and partnerships.

Contents of this publication: (Group 2018 a ) . The data is available at (Group 2018 b ) . The code used to generate the majority of figures is available at (Whitby 2018 ) .

3.9.13 Is Beauty Important?

This case study is about this article: https://www.infoworld.com/article/3048315/the-inevitability-of-data-visualization-criticism.html

Andy Cotgreave is the current Senior Technical Evangelist at Tableau. In the above article he defends the use of elaborate visualizations and argues that beauty is a quality worth pursuing when making data visualizations. One visualization that he focuses on is a heat map that shows the effect of introducing vaccines on the number of polio cases in the US made by the Wall Street Journal. This particular visualization received a great deal of attention, and was sent around the internet to demonstrate the positive effects of vaccination. After spending some time on the internet, another author named Randy Olson responded with his own article where he remade the heat map as a simple line graph. Both versions are shown below.

In his article, Cotgreave argues that the heat map was visually striking, and its novelty made him more likely to interact with it. As someone involved in visualizations, he seen hundreds, if not thousands of line graphs, and would’ve likely skipped over the line graph version. Cotgreave doubts that the line version would have won awards, or been virally shared as the heat map was. While Cotgreave acknowledges the readability of the line graph, he ultimately feels that there is a place for visualizations to be beautiful.

The takeaway then, is that the visualization you choose to present should be tailored to your situation. In other words, think of your audience. If you were presenting your visualization to the internet at large, then being beautiful and novel is important. If your visualization becomes viral, then it will advance and promote your message to exponentially more people. On the other hand, if you have a more limited audience, like a team of managers, that wants visualizations that can be read quickly, then the line chart will be more suitable.

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Whitby, Andrew. 2018. “Replication Code for the World Bank Atlas of Sustainable Development Goals 2018.” https://github.com/worldbank/sdgatlas2018 .

World Resources Institute. 2014. “Carbon Emissions: past, present and future - interactive.” https://www.theguardian.com/environment/ng-interactive/2014/dec/01/carbon-emissions-past-present-and-future-interactive .

Yanofsky, David, and Tim Fernholz. 2015. “This is every active satellite orbiting earth.” https://qz.com/296941/interactive-graphic-every-active-satellite-orbiting-earth .

Yau, Nathan. 2016. “How People Like You Spend Their Time.” http://flowingdata.com/2016/12/06/how-people-like-you-spend-their-time .

Zapata, Cristian. 2014. “An Interactive Visualization of NYC Street Trees.” https://www.cloudred.com/labprojects/nyctrees/ .

9 Creative Case Study Presentation Examples & Templates

Learn from proven case study presentation examples and best practices how to get creative, stand out, engage your audience, excite action, and drive results.

9 minute read

helped business professionals at:

Short answer

What makes a good case study presentation?

A good case study presentation has an engaging story, a clear structure, real data, visual aids, client testimonials, and a strong call to action. It informs and inspires, making the audience believe they can achieve similar results.

Dull case studies can cost you clients.

A boring case study presentation doesn't just risk putting your audience to sleep—it can actuallyl ead to lost sales and missed opportunities.

When your case study fails to inspire, it's your bottom line that suffers.

Interactive elements are the secret sauce for successful case study presentations.

They not only increase reader engagement by 22% but also lead to a whopping 41% more decks being read fully , proving that the winning deck is not a monologue but a conversation that involves the reader.

Let me show you shape your case studies into compelling narratives that hook your audience and drive revenue.

Let’s go!

How to create a case study presentation that drives results?

Crafting a case study presentation that truly drives results is about more than just data—it's about storytelling, engagement, and leading your audience down the sales funnel.

Here's how you can do it:

Tell a story: Each case study should follow a narrative arc. Start with the problem, introduce your solution, and showcase the results. Make it compelling and relatable.

Leverage data: Hard numbers build credibility. Use them to highlight your successes and reinforce your points.

Use visuals: Images, infographics, and videos can enhance engagement, making complex information more digestible and memorable.

Add interactive elements: Make your presentation a two-way journey. Tools like tabs and live data calculators can increase time spent on your deck by 22% and the number of full reads by 41% .

Finish with a strong call-to-action: Every good story needs a conclusion. Encourage your audience to take the next step in their buyer journey with a clear, persuasive call-to-action.

Visual representation of what a case study presentation should do:

How to write an engaging case study presentation?

Creating an engaging case study presentation involves strategic storytelling, understanding your audience, and sparking action.

In this guide, I'll cover the essentials to help you write a compelling narrative that drives results.

What is the best format for a business case study presentation?

4 best format types for a business case study presentation:

• Problem-solution case study
• Before-and-after case study
• Success story case study
• Interview style case study

Each style has unique strengths, so pick one that aligns best with your story and audience. For a deeper dive into these formats, check out our detailed blog post on case study format types .

What to include in a case study presentation?

An effective case study presentation contains 7 key elements:

• Introduction
• Company overview
• The problem/challenge
• Your solution
• Customer quotes/testimonials

To learn more about what should go in each of these sections, check out our post on what is a case study .

How to motivate readers to take action?

Based on BJ Fogg's behavior model , successful motivation involves 3 components:

This is all about highlighting the benefits. Paint a vivid picture of the transformative results achieved using your solution.

Use compelling data and emotive testimonials to amplify the desire for similar outcomes, therefore boosting your audience's motivation.

This refers to making the desired action easy to perform. Show how straightforward it is to implement your solution.

Use clear language, break down complex ideas, and reinforce the message that success is not just possible, but also readily achievable with your offering.

This is your powerful call-to-action (CTA), the spark that nudges your audience to take the next step. Ensure your CTA is clear, direct, and tied into the compelling narrative you've built.

It should leave your audience with no doubt about what to do next and why they should do it.

Here’s how you can do it with Storydoc:

How to adapt your presentation for your specific audience?

Every audience is different, and a successful case study presentation speaks directly to its audience's needs, concerns, and desires.

Understanding your audience is crucial. This involves researching their pain points, their industry jargon, their ambitions, and their fears.

Then, tailor your presentation accordingly. Highlight how your solution addresses their specific problems. Use language and examples they're familiar with. Show them how your product or service can help them reach their goals.

A case study presentation that's tailor-made for its audience is not just a presentation—it's a conversation that resonates, engages, and convinces.

How to design a great case study presentation?

A powerful case study presentation is not only about the story you weave—it's about the visual journey you create.

Let's navigate through the design strategies that can transform your case study presentation into a gripping narrative.

Add interactive elements

Static design has long been the traditional route for case study presentations—linear, unchanging, a one-size-fits-all solution.

However, this has been a losing approach for a while now. Static content is killing engagement, but interactive design will bring it back to life.

It invites your audience into an evolving, immersive experience, transforming them from passive onlookers into active participants.

Which of these presentations would you prefer to read?

Use narrated content design (scrollytelling)

Scrollytelling combines the best of scrolling and storytelling. This innovative approach offers an interactive narrated journey controlled with a simple scroll.

It lets you break down complex content into manageable chunks and empowers your audience to control their reading pace.

To make this content experience available to everyone, our founder, Itai Amoza, collaborated with visualization scientist Prof. Steven Franconeri to incorporate scrollytelling into Storydoc.

This collaboration led to specialized storytelling slides that simplify content and enhance engagement (which you can find and use in Storydoc).

Here’s an example of Storydoc scrollytelling:

Bring your case study to life with multimedia

Multimedia brings a dynamic dimension to your presentation. Video testimonials lend authenticity and human connection. Podcast interviews add depth and diversity, while live graphs offer a visually captivating way to represent data.

Each media type contributes to a richer, more immersive narrative that keeps your audience engaged from beginning to end. You can upload your own interactive elements or check stock image sites like Shutterstock, Adobe Stock, iStock, and many more. For example, Icons8, one of the largest hubs for icons, illustrations, and photos, offers both static and animated options for almost all its graphics, whether you need profile icons to represent different user personas or data report illustrations to show your findings.

Prioritize mobile-friendly design

In an increasingly mobile world, design must adapt. Avoid traditional, non-responsive formats like PPT, PDF, and Word.

Opt for a mobile-optimized design that guarantees your presentation is always at its best, regardless of the device.

As a significant chunk of case studies are opened on mobile, this ensures wider accessibility and improved user experience , demonstrating respect for your audience's viewing preferences.

Here’s what a traditional static presentation looks like as opposed to a responsive deck:

Streamline the design process

Creating a case study presentation usually involves wrestling with an AI website builder .

It's a dance that often needs several partners - designers to make it look good, developers to make it work smoothly, and plenty of time to bring it all together.

Building, changing, and personalizing your case study can feel like you're climbing a mountain when all you need is to cross a hill.

By switching to Storydoc’s interactive case study creator , you won’t need a tech guru or a design whizz, just your own creativity.

You’ll be able to create a customized, interactive presentation for tailored use in sales prospecting or wherever you need it without the headache of mobilizing your entire team.

Storydoc will automatically adjust any change to your presentation layout, so you can’t break the design even if you tried.

Case study presentation examples that engage readers

Let’s take a deep dive into some standout case studies.

These examples go beyond just sharing information – they're all about captivating and inspiring readers. So, let’s jump in and uncover the secret behind what makes them so effective.

What makes this deck great:

• A video on the cover slide will cause 32% more people to interact with your case study .
• The running numbers slide allows you to present the key results your solution delivered in an easily digestible way.
• The ability to include 2 smart CTAs gives readers the choice between learning more about your solution and booking a meeting with you directly.

Light mode case study

• The ‘read more’ button is perfect if you want to present a longer case without overloading readers with walls of text.
• The timeline slide lets you present your solution in the form of a compelling narrative.
• A combination of text-based and visual slides allows you to add context to the main insights.

Marketing case study

• Tiered slides are perfect for presenting multiple features of your solution, particularly if they’re relevant to several use cases.
• Easily customizable slides allow you to personalize your case study to specific prospects’ needs and pain points.
• The ability to embed videos makes it possible to show your solution in action instead of trying to describe it purely with words.

UX case study

• Various data visualization components let you present hard data in a way that’s easier to understand and follow.
• The option to hide text under a 'Read more' button is great if you want to include research findings or present a longer case study.
• Content segmented using tabs , which is perfect if you want to describe different user research methodologies without overwhelming your audience.

Business case study

• Library of data visualization elements to choose from comes in handy for more data-heavy case studies.
• Ready-to-use graphics and images which can easily be replaced using our AI assistant or your own files.
• Information on the average reading time in the cover reduces bounce rate by 24% .

Modern case study

• Dynamic variables let you personalize your deck at scale in just a few clicks.
• Logo placeholder that can easily be replaced with your prospect's logo for an added personal touch.
• Several text placeholders that can be tweaked to perfection with the help of our AI assistant to truly drive your message home.

Real estate case study

• Plenty of image placeholders that can be easily edited in a couple of clicks to let you show photos of your most important listings.
• Data visualization components can be used to present real estate comps or the value of your listings for a specific time period.
• Interactive slides guide your readers through a captivating storyline, which is key in a highly-visual industry like real estate .

Medical case study

• Image and video placeholders are perfect for presenting your solution without relying on complex medical terminology.
• The ability to hide text under an accordion allows you to include research or clinical trial findings without overwhelming prospects with too much information.
• Clean interactive design stands out in a sea of old-school medical case studies, making your deck more memorable for prospective clients.

Dark mode case study

• The timeline slide is ideal for guiding readers through an attention-grabbing storyline or explaining complex processes.
• Dynamic layout with multiple image and video placeholders that can be replaced in a few clicks to best reflect the nature of your business.
• Testimonial slides that can easily be customized with quotes by your past customers to legitimize your solution in the eyes of prospects.

Grab a case study presentation template

Creating an effective case study presentation is not just about gathering data and organizing it in a document. You need to weave a narrative, create an impact, and most importantly, engage your reader.

So, why start from zero when interactive case study templates can take you halfway up?

Instead of wrestling with words and designs, pick a template that best suits your needs, and watch your data transform into an engaging and inspiring story.

Hi, I'm Dominika, Content Specialist at Storydoc. As a creative professional with experience in fashion, I'm here to show you how to amplify your brand message through the power of storytelling and eye-catching visuals.

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Designing GitHub’s Octoverse: A Data Visualization Case Study

Designer Gemma Busquets shares how she created a responsive website and 20+ engaging charts and graphs for the software development platform’s annual report.

By Gemma Busquets

Gemma is a designer and creative director with over 15 years of experience in UX, data visualization, and branding. She has taught data visualization for 7+ years at the university level and has directed a master’s degree program on the subject. Gemma’s portfolio includes collaborations with GitHub, Coca-Cola, Nike, Visa, and Seat.

PREVIOUSLY AT

Last year I collaborated with GitHub to design the 2021 State of the Octoverse report . GitHub’s Octoverse analyzes real-world data from millions of developers and repositories in order to present the year’s software development industry insights. The 2021 report covers three major trends: improving performance and well-being by developing code, creating documentation, and supporting communities in a smarter, more sustainable way.

As the project’s creative liaison, it was my job to assist the GitHub team in making the data-heavy report easy to understand. Using data visualization , I designed 20+ charts, maps, and graphs to help readers unravel the information that GitHub data scientists collected.

In this data visualization case study, I explain my design process, showcase the website I helped to create for GitHub’s Octoverse, and share key learnings from the project.

Designing Engaging Digital Experiences With Data Visualization

State of the Octoverse 2021 is a sprawling report, with data collected from over 73 million GitHub developers and more than 61 million new repositories . It’s also the first time a survey on respondent demographics has been included. Making sense of the data required an extensive design effort.

Our modest team, which included developer Jose Luis Garrido and project manager Miquel Lopez , was tasked with synthesizing this immense amount of information for readers. Despite a delayed start and other simultaneous projects, we delivered.

Kicking Off the Design Process

The first stage of my data visualization design process was discovery. GitHub’s data scientists collected and analyzed information from developers and repositories through Excel files, PowerPoint presentations , and other data sets.

With this information, along with GitHub’s initial data visualization sketches and a 60-page context document, I began to think about how best to illustrate each data set. Then, I set about designing each chart, map, and diagram for maximum user engagement and an intuitive user experience.

Choosing Your Chart

There are three key points to choosing an effective data visualization :

1. Identify the Chart’s Purpose

Data can be represented in numerous ways–bar charts, line graphs, heatmaps, waterfall charts, and more. Each chart serves a purpose, and it’s important to use the right one to ensure that a clear and accurate message is conveyed.

For example, if you want to present the difference between two quantities, use a bar chart. If you want to show a trend over time, use a line graph.

2. Consider the End User

You also need to be aware of your users’ ability to read and analyze data. Most of us are familiar with pie, bar, and line charts. We see them everywhere, and we know how to read them.

On the other hand, fewer people know how to read box plots , which are used in many research publications to summarize multiple data variables into one chart.

If you present users with unfamiliar visualizations, they’ll have a hard time interpreting the data.

3. Design With Clarity

Is the data visualization clear and concise, or is there too much noise? Bar charts can be a great way to display data, but not if there are 100 bars with individual labels. Likewise, streamgraphs are beautiful and functional, but only when there’s a clear data pattern. Sometimes less is more.

Designing Perfect Data Visualizations

Throughout the 2021 State of the Octoverse report, you’ll find a variety of data visualizations that have been carefully composed in accordance with the corresponding data insight.

The Butterfly Chart

On the Overview page, I needed to design an infographic for two sets of data—showing where respondents worked before the pandemic and after it. GitHub provided me with two pie charts that each mapped out four data points: collocated, hybrid, fully remote, and not applicable. However, pie charts are not particularly effective when comparing two sets of data.

Instead, I opted for a butterfly chart . Butterfly charts plot the data as two horizontal bars side by side, resembling butterfly wings. These charts clearly show the difference between two groups that share the same parameters, and make comparing two sets of data much easier.

The Bump Chart

Another effective data visualization is the bump chart . We used this chart to present the information on the most popular computer programming languages used by developers over the past eight years. Bump charts are great for displaying changes in rank over a period of time, and they have become a staple in the Octoverse report.

The Treemap

I needed to illustrate the different sectors to which respondents contribute code. The final decision came down to pie charts versus treemaps.

Pie charts are useful when you have three or four sectors and when the quantities are clearly different. However, our brains don’t process angles well , so when there’s a pie chart with lots of similarly sized wedges, people have a hard time deciphering which is bigger.

In contrast, treemaps allow users to easily compare segments to each other, as well as to the whole. The largest rectangles are placed in the top left, followed by progressively smaller rectangles. It’s easier to compare straight lines than it is to compare wedges or angles.

The Cartogram

Finally, I needed to illustrate the geographical distribution of organizations using GitHub in 2021 by region or country. For this, I used a population cartogram. Cartograms are maps in which the geometry is distorted to accommodate a particular economic, social, political, or environmental feature.

In this data visualization, the size of the squares indicates the population size. Additionally, the saturation of the square’s color indicates how many organizations in that area are using GitHub.

Responsive Website Design For GitHub’s Octoverse 2021

In addition to designing data visualizations, I also helped the GitHub team produce a website for Octoverse 2021. This site was a hub for users to read, explore, and interact with the report’s data insights.

To encourage user engagement, we opted for a fully responsive website that would adapt the site’s rendering to different sized viewports. GitHub asked us to pay special attention to the desktop version after finding that larger devices drove the majority of Octoverse visits.

When designing the responsive site, I followed these best practices :

• Composing text with desktop-friendly and mobile-friendly typefaces. This included choosing optimal font sizes, typefaces, and line length and height, and refining how the text looks at different breakpoints.
• Laying out the visual elements on each page to encourage scrolling .
• Designing a user-friendly top navigation bar that adapts its layout to the viewport size.

Because I designed the website with different devices in mind from the start, most charts rendered well on all screen sizes. I only needed to make minor adjustments for optimal viewability, such as to the circular dendrogram at the end of the “Sustainable communities” section.

Organizing the Information Architecture

I explored different options for the website’s information architecture . I didn’t want to overwhelm users with too much information, but I also didn’t want the site to be scattered or difficult to navigate.

With this in mind, I started by designing a long scrolling website, with all the content on the same page. When that became visually overwhelming, I tried placing each chart on a separate page. To help with navigation, I added a side navigation menu to each page with a table of contents, similar to what you might find in a book. The final design on the Octoverse website consists of separate webpages for the three main trends, plus a homepage that serves as a summary of the most important data.

After deciding on the information architecture, I moved on to designing the site’s content structure, navigation flow, images, and graphics. I created wireframes to map out the content and show paths between different pages.

Making the Website Interactive

The scroll progress indicator.

To satisfy GitHub’s request for an engaging, dynamic website, we added interactive elements. For instance, under the top navigation bar, I designed a scroll progress indicator so visitors could keep track of where they were on the site. As readers scroll down a page, the indicator bar scales incrementally, and each page has a different fill color for the bar: gray, purple, blue, or green.

Animated Headers, Images, and Data Visualization

To keep the website from looking flat, we decided to animate the section headers. I created the illustrations and our team’s developer animated them. We also animated the hero image for the homepage and each subsection, and their corresponding chapter cards at the bottom of each webpage.

We also made some of the static data visualization charts interactive. For example, as you scroll over a line in the bump chart, the line thickens to emphasize the corresponding data point. It’s a simple but effective animation that lets site visitors interact with the data and quickly compare languages.

Creating Successful Data Visualizations and Digital Designs for GitHub: Key Learnings

Data is only useful if you can make sense of it, and the process of designing data-heavy content that users can easily decipher is challenging. Nevertheless, this collaboration with GitHub broadened my knowledge in data visualization design . Here are the most important takeaways from this data visualization case study:

• Know the brand: Being familiar with a brand’s core style guidelines—such as ​​its use of type, color, and images—speeds up the design process because it frees designers to move on to the creative process. I was lucky that I knew a lot about GitHub’s brand before the collaboration, and I was able to use this knowledge to inform my designs.
• Choose the right types of data visualizations: Selecting the correct visualization to represent a data point is essential. An incorrect representation can cause confusion or convey the wrong message.
• Use color wisely: The right color combination will guide the reader’s eye and draw attention to a particular data point.
• Stay curious: When you’re trying to tell a compelling data story, you’re bound to encounter complex design problems, so it’s important to be open to uncommon solutions and continuous learning.

Understanding the basics

What is the github octoverse.

GitHub’s State of the Octoverse is a report that presents software development trends and insights. Data from millions of developers and repositories is collected and analyzed to make up the annual report. Trends include working habits, productivity, and career satisfaction.

What is data visualization, and why is it used?

Data visualization is the process of creating graphical representations of data sets, such as charts, graphs, and maps. This design technique is used to clearly communicate complex data to users.

What does GitHub do, and why is it so popular?

GitHub is an open-source code-hosting platform for version control and collaboration where developers and programmers can download, review, and evaluate each other’s work. It is the platform of choice for millions of developers.

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Member since December 13, 2016

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Data visualization case studies.

See the potential that creative design and storytelling can bring to data. These data visualization case studies span Australia, the United States, Europe, the Middle East, and Asia .

Mercedes-Benz Case Study

The Datalabs Agency took a collaborative approach injecting a lot of the Mercedes-Benz (or Daimler) brand and updating it to fit data visualization best practices. The icons, fonts, and color palette all got extensive and worthwhile attention.

Traffic Management, IoT, and XAI Software Design

The Department of Transportation asked the Datalabs Agency to design a traffic management platform for its data. The result: a suite of interface designs showing the complexity of the road system and a way forward to optimize it at a systems level. See the future of transportation design…

Hydro Tasmania Energy Portal

The Datalabs Agency was commissioned by the energy company, Hydro Tasmania, to prototype an asset and resource management tool, utilizing the best practices in UI and data visualization design

Walton Family Foundation Case Study

The team at Walton Family Foundation reached out to Datalabs seeking assistance with a series of Tableau dashboards, dashboards to present a series of metrics and KPIs on the environmental program for the foundation’s leadership team.

HCF Annual Report Case Study

A health care fund, HCF, asked the Datalabs Agency to design its Year in Review report and animated data videos, a suite of designs that included a video summary of two important reports.

Dell Foundation Case Study

The fine folks at Michael and Susan Dell Foundation reached out to Datalabs with a unique Power BI design and development challenge. That was to re-design the education reporting system and migrate it from custom software to Power BI.

Mercedes-Benz Dashboards

A long-term client of the Datalabs Agency, Mercedes-Benz in Germany and Singapore trusted us to design and develop their Power BI dashboards, style guides, and BI framework.

UPS Online Workshop

UPS asked the Datalabs Agency to train its staff in the fundamentals of data visualization. Our agency facilitated a series of training workshops using their data and design guidelines to lift their thinking and skills to the next level.

Rabobank Data Visualization Workshop

The Dutch bank, Rabobank, hired us to train its staff in Hong Kong. We tailored our Introduction to Data Visualization & Storytelling Workshop to include agriculture data, Power BI design, and collaborative exercises.

Tabcorp Tableau Style Guide Project

Tabcorp approached Datalabs to see if we could help them define a style for their business intelligence platform, Tableau. Here’s a peek inside…

ADF Infographics & Animations Case Study

A beautiful suite of infographic reports and animated data videos designed with data-driven graphics, icons, and illustration for our client the Australian Drug Foundation.

Al Jazeera Infographics Workshop Case Study

Two days with Al Jazeera journalists, producers & designers in Doha, Qatar talking about infographics, data, and their process in creating data-driven motion designs for their broadcasts.

SEEK Employment Data Microsite Case Study

A case study of SEEK Australia’s Laws of Attraction Interactive Microsite, showcasing employment data from Australia, Hong Kong, Singapore…

Case Study: Rewilding Australia Project Map

With an interactive map now live on their website, Rewilding Australia has increased the amount of interactive media on its site tenfold. Check out the cartographic experience.

Department of Education and Training Child Care Subsidy Estimator

The Datalabs Agency was engaged to help Australia’s Department of Education provide a clean and simple user interface in which parents and carers of children could estimate the amount of money they may be entitled to receive.

Case-study: Intranet Dashboard Design for Nestlé

Nestlé’s aim was to develop an easy-to-use, visually engaging experience that would help to make Nestlé employees’ jobs easier, and therefore, more enjoyable. The Datalabs Agency designed and developed a fun Intranet portal in response.

Interface Design Case Study

Our client engaged Datalabs to design a best-in-class dashboard and user interface for their frontline staff’s main workstation. Check out the infographic look in this data visualization case study.

University of Melbourne Map Project – A Case Study

The Datalabs Agency was commissioned to turn the list of the University of Melbourne’s partners and connections around the world into an interactive map that would sit on the home page of their site.

Department of Education & Training Case Study: Interactive Calculator

The Department of Education and Training needed a clean and simple user interface to assist in the communications strategy for the Australian Government’s New Child Care Package. This interactive tool was a hit with parent’s in need of some numbers.

Case-study: Victoria University Dashboards & Infographic Reports

A case study on a Tableau dashboard, infographic and data design project for the marketing team at Victoria University.

Case Study: Interactive Data Map

We built this interactive map as a use-case for interactive/explorable maps. It’s UI and easy-of-use is a case study of how data visualization can make better sense of geographical data. Certainly better than a table in a spreadsheet!

Case study: International Women’s Development Agency Map

Looking for what data visualization can do for your website? Check out this live example of an interactive map developed for International Women’s Development Agency.

Case Study: Monash Health Interactive Timeline Tool

Monash Heath wanted a time-based interactive data visualization to show the pathway of a patient’s journey through the healthcare system. We used Adobe Illustrator, Excel, HTML, JavaScript, and CSS to come up with this digital experience.

Case Study: Medical Research Infographic

Case Study: Medical Research Infographic Who: Association of Australian Medical Research Institutes What: Summary Report Infographic When: August 2016 Why: The team at the Association of Australian Medical Research Institutes

Infographic Case Study

A large Australian and New Zealand food manufacturer engaged Datalabs to visualize a set of survey results undertaken by their human resources department and an external consultancy. The result was this visually engaging infographic.

Case Study: IWDA Annual Report Microsite

Considering going digital with your annual report? Do it! Here’s an example of what interactivity and a non-profit organization’s ‘year in numbers’ looked like after they ditched paper and went digital.

Pillar Superannuation Tableau Dashboard Report

The aim for this project was to create an interactive dashboard, utilizing Tableau, to convey the data that had been collected over the financial year. Check out this financial firm’s reporting suite.

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Data Visualization with Tableau: 4 Best Case Studies to Know

Discovering the commercial benefits with data visualization..

Visualizing the information is more convenient than delving into the complex data table collections because the human brain easily digests the graphics, unlike the Excel spreadsheets due to their lack of information overload. That is why more and more people realize how to apply Tableau data visualization in the business context and discover the commercial benefits. In this article, you will find the examples of Tableau business cases with an ample outcome because of data visualization.

Impacting the businesses

Data visualization increases the revenue for enterprises. How, though? First of all, it allows to obtain the profound insights when answering the data-related questions: instead of trying to structure the messy information, one can easily observe trends in revenue, costs, customer count, conversion rates, and the other e-commerce metrics (MAU, DAU, CPC, CPA, LTV).

By visualizing the information, it’s easy to find inefficiencies, to determine seasonality and optimize the company’s strategy through development of profitable directions. Also, visualizing the data is the way of guaranteeing the objective source of truth for all levels of leadership and providing all of the departments with the up-to-date and truthful information. An example of efficient visual representation can be found down below:

Source: Tableau Online

Tableau, a suitable solution

Tableau is a good choice for the users in need of cross-platform reports (on tablets, smartphones, or desktops). Tableau is easy to use and is suitable for sharing the data with all the members of the company. At the same time, it is convenient for processing the large sets of information, regardless of the amount of sources.

In fact, Tableau leverages an extensive set of data connectors, such as MySQL, Google Analytics, Google SpreadSheets, Excel, CSV files, and others. Thus, it provides the users with advanced analytical dashboard capabilities along with assisted formula editing, forecasting, clustering, and flexible deployment options (in-cloud, on-premises, and online).

Coca-Cola: shaping the essence of analytics

Coca-Cola , the largest beverage company in the world, looked how to replace its daily 45-minute manual data reporting process. Previously, the team spent a considerable amount of time trying to connect over 200 million lines of data from over 100 different systems into single storage to then build one usable dashboard. To boost the efficiency and carry out a real-time data, Coca-Cola adopted Tableau. Because Tableau consolidates the data from multiple sources, various teams at Coca-Cola can now actively comprehend the metrics, including the budget, delivery operations, and profitability in a matter of few clicks. Simultaneously, the sales department can now access the data from the remote locations by using the iPads, which increased overall timeliness. Finally, the executive reports automatically refresh each day at 5:45 am, unlike the previous times.

Coca-Cola Tableau case study

Lenovo: a 95% increase in efficiency across the company

Lenovo, a global technology company, aimed to optimize its analytics experience across all the departments and worldwide offices. Previously, Lenovo operated with one single sales report that was delivered to 28 different countries. When different regions or company’s divisions wanted to adopt the report to extract the most valuable data, it required a commitment of eight to ten individuals and led to a massive number of on-hold tasks for the analytics team. In turn, Lenovo decided to use Tableau to orderly structure the data all across the company. As a result, Lenovo got a flexible dashboard with all the sales that can be adapted for the ad-hoc analyses, which also led to 95% efficiency improvement across 28 countries. With the help of Tableau dashboard ideas, Lenovo gathered the engagement metric, thus crafting a better experience and collecting more revenue.

Lenovo Tableau case study

LinkedIn: empowering 90% of the Sales Team

LinkedIn, a largest professional networking website, wanted to synchronize all the data across its internal databases ( Google Analytics , Salesforce.com , third-party tools). Previously, one analyst at LinkedIn would handle daily sales request from over 500 salespersons, which created a reporting queue of up to 6 months. To fix the issue, LinkedIn decided to use Tableau to centralize the spread out data and develop a series of customer access dashboards. As a result, thousands of individuals nowadays can access the Tableau Server on a weekly basis, which constitutes 90% of the LinkedIn sales force. With the interactive real time dashboards in Tableau, one can easily predict churn and track the current performance, which eventually created more revenue through the proactive cycle of sales.

LinkedIn Tableau case study

Bookimed: Building real-time analytical dashboards

Bookimed, a Ukrainian service for searching the best medical solutions worldwide, wanted to make an x2 increase in revenue by year. To do so, the companies that use Tableau would have to make reasonable decisions based on data. We understood that previously managers had issues with evaluating hypothesis and tasks prioritization because of the manual filtering through the information. Usual data analysis required next steps:

• Making a task for IT-department to load raw data in CSV file.
• Filtering this data by hand and exploring it to Excel.
• Manually linking data from Excel, CSV files to data from Google Analytics and Google AdWords.

In order to get quick and error-free insights from data and tracking the real-time state of the business, Bookimed decided to use Tableau and Tableau Online services. The main goal was to create the customizable for every department real-time dashboard system. To fulfill these tasks, we did undergo three steps:

• Connected Google Analytics, Google Adwords and MySQL to Tableau.
• Set-up Dashboards for every department at Bookimed.
• Additionally, data root labs incorporated Amazon Redshift + Amazon Kinesis for advanced data gathering and more sophisticated data analysis.

Here are some of the first graphics of the company (numbers are random and for visualization purpose only):

Graphics and Visualizations (Tableau). Source: Bookimed.com

Now, Bookimed.com has the system that delivers all the relevant data and information to every member of the company in real-time mode. Simultaneously, Bookimed got all of the following:

• Reduced the business analysis time from 1 week to 2 hours and ensured the data-driven decision making among employees.
• Build based on data reasonable growth plan for increasing the revenue by 10% monthly .
• Acquired the data visualization infrastructure that can be easily modified, scaled, and changed according to the business needs.

Other Industries where Tableau is used

Healthcare analytics.

• BJC , a company that provides healthcare to residents of Missouri and Illinois, reduced supply chain expenses from 23.5% to 19% .
• Seattle Children’s, a pediatric hospital, saved more than 40000 clinical hours each year and $100000 with demand flow.

Education Analytics

• Des Moines Public School District received an ability to quickly detect high-school students with the likelihood to drop-out .
• The University of Notre Dame got able to perform data analysis using Tableau 10x times faster .

Government Analytics

• The city of Tallahassee measured workload sewers’ efficiency and made utility decisions that improved productivity by 30% .
• Surrey County Council reduced analysis time from days to hours to track intervention at youth clubs.

Marketing Analytics

• Allrecipes, a largest digital food brand, increased the mobile site visits from 8 percent to more than three-fourth of total .
• PepsiCo cut analysts time by 90% .

Tableau Insurance Analytics

• EY, a professional risk management organization, saved clients millions of dollars and prevented fraud .
• MA Assist, the UK-based property services firm, cut insurance claim duration by 15% and improved business efficiency by 20% .

High Technology Tableau Analytics Examples

• GoDaddy, an international web hosting firm, scaled 13TB of data governance and and optimized product experience for over 17 million customers.
• Ancestry.com , a largest online resource for searching family history, visualized billions of rows of data for strategic decision-making .

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6 Data Visualization Examples To Inspire Your Own

• 12 Jan 2017

Data informs virtually every business decision an organization makes. Because of this, it’s become increasingly important for professionals of all backgrounds to be adept at working with data.

While data can provide immense value, it’s important that professionals are able to effectively communicate the significance of the data to stakeholders. This is where data visualization comes into play. By transforming raw data into engaging visuals using various data visualization tools , it’s much easier to communicate insights gleaned from it.

Here are six real-world examples of data visualization that you can use to inspire your own.

What Is Data Visualization?

Data visualization is the process of turning raw data into graphical representations.

Visualizations make it easy to communicate trends in data and draw conclusions. When presented with a graph or chart, stakeholders can easily visualize the story the data is telling, rather than try to glean insights from raw data.

There are countless data visualization techniques , including:

• Scatter plots

The technique you use will vary based on the type of data you’re handling and what you’re trying to communicate.

6 Real-World Data Visualization Examples

1. the most common jobs by state.

Source: NPR

National Public Radio (NPR) produced a color-coded, interactive display of the most common jobs in each state in each year from 1978 to 2014. By dragging the scroll bar at the bottom of the map, you’re able to visualize occupational changes over time.

If you’re trying to represent geographical data, a map is the best way to go.

2. COVID-19 Hospitalization Rates

Source: CDC

Throughout the COVID-19 pandemic, the Centers for Disease Control and Prevention (CDC) has been transforming raw data into easily digestible visuals. This line graph represents COVID-19 hospitalization rates from March through November 2020.

The CDC tactfully incorporated color to place further emphasis on the stark increase in hospitalization rates, using a darker shade for lower values and a lighter shade for higher values.

3. Forecasted Revenue of Amazon.com

Source: Statista

Data visualizations aren’t limited to historical data. This bar chart created by Statista visualizes the forecasted gross revenue of Amazon.com from 2018 to 2025.

This visualization uses a creative title to summarize the main message that the data is conveying, as well as a darker orange color to spike out the most important data point.

4. Web-Related Statistics

Source: Internet Live Stats

Internet Live Stats has tracked web-related statistics and pioneered methods for visualizing data to show how different digital properties have ebbed and flowed over time.

Simple infographics like this one are particularly effective when your goal is to communicate key statistics rather than visualizing trends or forecasts.

5. Most Popular Food Delivery Items

Source: Eater

Eater, Vox’s food and dining brand, has created this fun take on a “pie” chart, which shows the most common foods ordered for delivery in each of the United States.

To visualize this data, Eater used a specific type of pie chart known as a spie chart. Spie charts are essentially pie charts in which you can vary the height of each segment to further visualize differences in data.

6. Netflix Viewing Patterns

Source: Vox

Vox created this interesting visualization depicting the viewing patterns of Netflix users over time by device type. This Sankey diagram visualizes the tendency of users to switch to streaming via larger device types.

Visualizing Data to Make Business Decisions

The insights and conclusions drawn from data visualizations can guide the decision-making and strategic planning processes for your organization.

To ensure your visualizations are relevant, accurate, and ethical, familiarize yourself with basic data science concepts . With a foundational knowledge in data science, you can maintain confidence in your data and better understand its significance. An online analytics course can help you get started.

Are you interested in improving your data science and analytical skills? Download our Beginner’s Guide to Data & Analytics to learn how you can leverage the power of data for professional and organizational success.

This post was updated on February 26, 2021. It was originally published on January 12, 2017.

Data Visualization in Education: 14 Case Studies and Statistics

The human brain possesses an innate ability to establish meaningful connections between visual objects, facilitating swift and effortless comprehension. In light of this, data visualization emerges as a potent tool for expeditious and effective learning. Research shows that data visualization often provides superior learning outcomes when compared with traditional text-based or verbal approaches.

By transforming textual data into visually stimulating resources, data visualization streamlines the learning process, empowering learners with a deeper understanding of complex concepts.

With the potential to revolutionize the realms of comprehension, learning, and assessment in online learning, data visualization warrants attention. In this regard, we shall explore several compelling case studies and research findings that substantiate this claim with empirical evidence.

14 Case Studies, Examples and Statistics about Data Visualization in Education

1. student retained 65% of visual information, compared with 10-20% of written or spoken information.

A study found that a student was able to retain 80% of the visual information after 3 hours and 65% after 3 days but was only able to remember 25-72% of the verbal or written information after 3 hours and 10-20% after 3 days.

2. Illustrated text is 83% more effective than text alone

A complimentary study to the one above found that illustrated texts are 9% more effective when tested for immediate comprehension and 83% more effective when the tests were conducted after a delay.

3. Visuals improve learning by up to 400% against text-based elearning

A 2014 study on the impact of visualization found that visualization has a much greater impact on a learner’s understanding compared to pure text content. It helps to understand complex patterns, improve comprehension, and learning by up to 400% .

3D Data Visualization

4. Our brain transmits 90% of the information in visual form

According to MIT, our brain can view images lasting less than 13 milliseconds , our eyes register more than 36,000 visual messages per hour, and 90% of the information our brain transmits is in the form of visuals.

5. Our brain can process visual information 60,000x times faster

Findings of a study by the University of Minnesota state that the human brain is capable of processing visual information 60,000x times faster than text.

6. 70% of teachers use video during lessons multiple times per week

A 2018 Boclips survey of teachers across the globe revealed that 70% of the teachers were using video in classroom sessions multiple times during the week.

7. 93% of institutions indicate that video use increases student satisfaction levels

The Annual State of Video in Education Report 2016 conducted a survey on 1,500 respondents from across the globe.

The survey revealed that 93% of the institutions showed that video tools have a positive impact on student learning and satisfaction, and 88% felt it led to increased achievement levels for students.

8. Visual aids are 43% more effective at persuading audiences

A University of Minnesota study found that when presenters used visual aids, their presentation was 43% more effective to persuade audiences to take a desired course of action.

9. Visual language is more impactful for groups to reach consensus

A study found that when groups used visual language, they were able to reach a consensus 21% more often than groups that did not use visuals.

Other findings from this survey revealed that visual language produces 22% higher results in 13% less time.

Spatial 3D Data

10. 29% increase in believability quotient for scientific facts presented with graphs

A study conducted at Cornell University found that when a scientific claim was presented with numbers or in pure words 68% of the people believed it.

But when the claim was accompanied by a simple graph, the number rose to 97%.

11. Visuals aids assist in quick decision-making in e-learning

A Stanford study was conducted with 110 engineering students and they were asked to view design presentation slides.

64% of participants made an immediate decision following presentations that used an overview map as a data visualization tool. The essay and multiple choice responses were used to assess learning outcomes, and the visual presentation was found to be more effective in facilitating comprehension and learning. The study also found that the benefits of the assertion-evidence slides persisted over time.

12. Written plus visual information is 70% more memorable

The findings of a study revealed that written information, when combined with visual information and actions, was 70% more memorable than text-alone.

13. Visual language improves problem solving by 19%

By incorporating visual language tools such as maps, icons, and storyboards, managers can improve communication, resulting in faster responsiveness, shorter meetings, and increased ability to reach consensus. According to research , the use of visual language improves problem-solving effectiveness by 19%, produces 22% higher results in 13% less time, and increases the persuasiveness of presenters by 43%. In conclusion, the inclusion of visual language tools in change programs is essential in facilitating faster and more effective change implementation.

14. 16% increase of audience persuasion with visual tools

The Wharton School of Business conducted a study that found that when a verbal-only presentation was used to convince the audience only 50% were in favor. However, when the presentation was supplemented with visuals the numbers rose to 2/3rds .

What does data visualization hold for metaverse-based learning platforms?

Interactive educational tools and 3D metaverse learning platforms offer an opportunity for users to visually engage with data, which can lead to better decision-making.

The convergence of emerging technologies such as AI and XR has significantly increased the capability to generate visual tools like pictures and illustrations.

Platforms like Axon Park can harness these tools to facilitate learning, better comprehend and interact with data. Data visualization can also create equal learning opportunities for all students by improving their visual senses, ultimately enhancing the learning experience.

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Blog Data Visualization 10 Data Presentation Examples For Strategic Communication

10 Data Presentation Examples For Strategic Communication

Written by: Krystle Wong Sep 28, 2023

Knowing how to present data is like having a superpower. 

Data presentation today is no longer just about numbers on a screen; it’s storytelling with a purpose. It’s about captivating your audience, making complex stuff look simple and inspiring action. 

To help turn your data into stories that stick, influence decisions and make an impact, check out Venngage’s free chart maker or follow me on a tour into the world of data storytelling along with data presentation templates that work across different fields, from business boardrooms to the classroom and beyond. Keep scrolling to learn more! 

Click to jump ahead:

10 Essential data presentation examples + methods you should know

What should be included in a data presentation, what are some common mistakes to avoid when presenting data, faqs on data presentation examples, transform your message with impactful data storytelling.

Data presentation is a vital skill in today’s information-driven world. Whether you’re in business, academia, or simply want to convey information effectively, knowing the different ways of presenting data is crucial. For impactful data storytelling, consider these essential data presentation methods:

1. Bar graph

Ideal for comparing data across categories or showing trends over time.

Bar graphs, also known as bar charts are workhorses of data presentation. They’re like the Swiss Army knives of visualization methods because they can be used to compare data in different categories or display data changes over time. 

In a bar chart, categories are displayed on the x-axis and the corresponding values are represented by the height of the bars on the y-axis. 

It’s a straightforward and effective way to showcase raw data, making it a staple in business reports, academic presentations and beyond.

Make sure your bar charts are concise with easy-to-read labels. Whether your bars go up or sideways, keep it simple by not overloading with too many categories.

2. Line graph

Great for displaying trends and variations in data points over time or continuous variables.

Line charts or line graphs are your go-to when you want to visualize trends and variations in data sets over time.

One of the best quantitative data presentation examples, they work exceptionally well for showing continuous data, such as sales projections over the last couple of years or supply and demand fluctuations. 

The x-axis represents time or a continuous variable and the y-axis represents the data values. By connecting the data points with lines, you can easily spot trends and fluctuations.

A tip when presenting data with line charts is to minimize the lines and not make it too crowded. Highlight the big changes, put on some labels and give it a catchy title.

3. Pie chart

Useful for illustrating parts of a whole, such as percentages or proportions.

Pie charts are perfect for showing how a whole is divided into parts. They’re commonly used to represent percentages or proportions and are great for presenting survey results that involve demographic data. 

Each “slice” of the pie represents a portion of the whole and the size of each slice corresponds to its share of the total. 

While pie charts are handy for illustrating simple distributions, they can become confusing when dealing with too many categories or when the differences in proportions are subtle.

Don’t get too carried away with slices — label those slices with percentages or values so people know what’s what and consider using a legend for more categories.

4. Scatter plot

Effective for showing the relationship between two variables and identifying correlations.

Scatter plots are all about exploring relationships between two variables. They’re great for uncovering correlations, trends or patterns in data. 

In a scatter plot, every data point appears as a dot on the chart, with one variable marked on the horizontal x-axis and the other on the vertical y-axis.

By examining the scatter of points, you can discern the nature of the relationship between the variables, whether it’s positive, negative or no correlation at all.

If you’re using scatter plots to reveal relationships between two variables, be sure to add trendlines or regression analysis when appropriate to clarify patterns. Label data points selectively or provide tooltips for detailed information.

5. Histogram

Best for visualizing the distribution and frequency of a single variable.

Histograms are your choice when you want to understand the distribution and frequency of a single variable. 

They divide the data into “bins” or intervals and the height of each bar represents the frequency or count of data points falling into that interval. 

Histograms are excellent for helping to identify trends in data distributions, such as peaks, gaps or skewness.

Here’s something to take note of — ensure that your histogram bins are appropriately sized to capture meaningful data patterns. Using clear axis labels and titles can also help explain the distribution of the data effectively.

6. Stacked bar chart

Useful for showing how different components contribute to a whole over multiple categories.

Stacked bar charts are a handy choice when you want to illustrate how different components contribute to a whole across multiple categories. 

Each bar represents a category and the bars are divided into segments to show the contribution of various components within each category. 

This method is ideal for highlighting both the individual and collective significance of each component, making it a valuable tool for comparative analysis.

Stacked bar charts are like data sandwiches—label each layer so people know what’s what. Keep the order logical and don’t forget the paintbrush for snazzy colors. Here’s a data analysis presentation example on writers’ productivity using stacked bar charts:

7. Area chart

Similar to line charts but with the area below the lines filled, making them suitable for showing cumulative data.

Area charts are close cousins of line charts but come with a twist. 

Imagine plotting the sales of a product over several months. In an area chart, the space between the line and the x-axis is filled, providing a visual representation of the cumulative total. 

This makes it easy to see how values stack up over time, making area charts a valuable tool for tracking trends in data.

For area charts, use them to visualize cumulative data and trends, but avoid overcrowding the chart. Add labels, especially at significant points and make sure the area under the lines is filled with a visually appealing color gradient.

8. Tabular presentation

Presenting data in rows and columns, often used for precise data values and comparisons.

Tabular data presentation is all about clarity and precision. Think of it as presenting numerical data in a structured grid, with rows and columns clearly displaying individual data points. 

A table is invaluable for showcasing detailed data, facilitating comparisons and presenting numerical information that needs to be exact. They’re commonly used in reports, spreadsheets and academic papers.

When presenting tabular data, organize it neatly with clear headers and appropriate column widths. Highlight important data points or patterns using shading or font formatting for better readability.

9. Textual data

Utilizing written or descriptive content to explain or complement data, such as annotations or explanatory text.

Textual data presentation may not involve charts or graphs, but it’s one of the most used qualitative data presentation examples. 

It involves using written content to provide context, explanations or annotations alongside data visuals. Think of it as the narrative that guides your audience through the data. 

Well-crafted textual data can make complex information more accessible and help your audience understand the significance of the numbers and visuals.

Textual data is your chance to tell a story. Break down complex information into bullet points or short paragraphs and use headings to guide the reader’s attention.

10. Pictogram

Using simple icons or images to represent data is especially useful for conveying information in a visually intuitive manner.

Pictograms are all about harnessing the power of images to convey data in an easy-to-understand way. 

Instead of using numbers or complex graphs, you use simple icons or images to represent data points. 

For instance, you could use a thumbs up emoji to illustrate customer satisfaction levels, where each face represents a different level of satisfaction. 

Pictograms are great for conveying data visually, so choose symbols that are easy to interpret and relevant to the data. Use consistent scaling and a legend to explain the symbols’ meanings, ensuring clarity in your presentation.

Looking for more data presentation ideas? Use the Venngage graph maker or browse through our gallery of chart templates to pick a template and get started! 

A comprehensive data presentation should include several key elements to effectively convey information and insights to your audience. Here’s a list of what should be included in a data presentation:

1. Title and objective

• Begin with a clear and informative title that sets the context for your presentation.
• State the primary objective or purpose of the presentation to provide a clear focus.

2. Key data points

• Present the most essential data points or findings that align with your objective.
• Use charts, graphical presentations or visuals to illustrate these key points for better comprehension.

3. Context and significance

• Provide a brief overview of the context in which the data was collected and why it’s significant.
• Explain how the data relates to the larger picture or the problem you’re addressing.

4. Key takeaways

• Summarize the main insights or conclusions that can be drawn from the data.
• Highlight the key takeaways that the audience should remember.

5. Visuals and charts

• Use clear and appropriate visual aids to complement the data.
• Ensure that visuals are easy to understand and support your narrative.

6. Implications or actions

• Discuss the practical implications of the data or any recommended actions.
• If applicable, outline next steps or decisions that should be taken based on the data.

7. Q&A and discussion

• Allocate time for questions and open discussion to engage the audience.
• Address queries and provide additional insights or context as needed.

Presenting data is a crucial skill in various professional fields, from business to academia and beyond. To ensure your data presentations hit the mark, here are some common mistakes that you should steer clear of:

Overloading with data

Presenting too much data at once can overwhelm your audience. Focus on the key points and relevant information to keep the presentation concise and focused. Here are some free data visualization tools you can use to convey data in an engaging and impactful way. 

Assuming everyone’s on the same page

It’s easy to assume that your audience understands as much about the topic as you do. But this can lead to either dumbing things down too much or diving into a bunch of jargon that leaves folks scratching their heads. Take a beat to figure out where your audience is coming from and tailor your presentation accordingly.

Misleading visuals

Using misleading visuals, such as distorted scales or inappropriate chart types can distort the data’s meaning. Pick the right data infographics and understandable charts to ensure that your visual representations accurately reflect the data.

Not providing context

Data without context is like a puzzle piece with no picture on it. Without proper context, data may be meaningless or misinterpreted. Explain the background, methodology and significance of the data.

Not citing sources properly

Neglecting to cite sources and provide citations for your data can erode its credibility. Always attribute data to its source and utilize reliable sources for your presentation.

Not telling a story

Avoid simply presenting numbers. If your presentation lacks a clear, engaging story that takes your audience on a journey from the beginning (setting the scene) through the middle (data analysis) to the end (the big insights and recommendations), you’re likely to lose their interest.

Infographics are great for storytelling because they mix cool visuals with short and sweet text to explain complicated stuff in a fun and easy way. Create one with Venngage’s free infographic maker to create a memorable story that your audience will remember.

Ignoring data quality

Presenting data without first checking its quality and accuracy can lead to misinformation. Validate and clean your data before presenting it.

Simplify your visuals

Fancy charts might look cool, but if they confuse people, what’s the point? Go for the simplest visual that gets your message across. Having a dilemma between presenting data with infographics v.s data design? This article on the difference between data design and infographics might help you out. 

Missing the emotional connection

Data isn’t just about numbers; it’s about people and real-life situations. Don’t forget to sprinkle in some human touch, whether it’s through relatable stories, examples or showing how the data impacts real lives.

Skipping the actionable insights

At the end of the day, your audience wants to know what they should do with all the data. If you don’t wrap up with clear, actionable insights or recommendations, you’re leaving them hanging. Always finish up with practical takeaways and the next steps.

Can you provide some data presentation examples for business reports?

Business reports often benefit from data presentation through bar charts showing sales trends over time, pie charts displaying market share,or tables presenting financial performance metrics like revenue and profit margins.

What are some creative data presentation examples for academic presentations?

Creative data presentation ideas for academic presentations include using statistical infographics to illustrate research findings and statistical data, incorporating storytelling techniques to engage the audience or utilizing heat maps to visualize data patterns.

What are the key considerations when choosing the right data presentation format?

When choosing a chart format , consider factors like data complexity, audience expertise and the message you want to convey. Options include charts (e.g., bar, line, pie), tables, heat maps, data visualization infographics and interactive dashboards.

Knowing the type of data visualization that best serves your data is just half the battle. Here are some best practices for data visualization to make sure that the final output is optimized. 

How can I choose the right data presentation method for my data?

To select the right data presentation method, start by defining your presentation’s purpose and audience. Then, match your data type (e.g., quantitative, qualitative) with suitable visualization techniques (e.g., histograms, word clouds) and choose an appropriate presentation format (e.g., slide deck, report, live demo).

For more presentation ideas , check out this guide on how to make a good presentation or use a presentation software to simplify the process.  

How can I make my data presentations more engaging and informative?

To enhance data presentations, use compelling narratives, relatable examples and fun data infographics that simplify complex data. Encourage audience interaction, offer actionable insights and incorporate storytelling elements to engage and inform effectively.

The opening of your presentation holds immense power in setting the stage for your audience. To design a presentation and convey your data in an engaging and informative, try out Venngage’s free presentation maker to pick the right presentation design for your audience and topic. 

What is the difference between data visualization and data presentation?

Data presentation typically involves conveying data reports and insights to an audience, often using visuals like charts and graphs. Data visualization , on the other hand, focuses on creating those visual representations of data to facilitate understanding and analysis. 

Now that you’ve learned a thing or two about how to use these methods of data presentation to tell a compelling data story , it’s time to take these strategies and make them your own. 

But here’s the deal: these aren’t just one-size-fits-all solutions. Remember that each example we’ve uncovered here is not a rigid template but a source of inspiration. It’s all about making your audience go, “Wow, I get it now!”

Think of your data presentations as your canvas – it’s where you paint your story, convey meaningful insights and make real change happen. 

So, go forth, present your data with confidence and purpose and watch as your strategic influence grows, one compelling presentation at a time.

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• The Complete Guide to Mastering Business Presentations
• Visual Aids in Your Business Presentation

Data Visualization in Business Presentations: Graphs and Charts Best Practices

Aayush Jain

Navigating the graphs and charts galaxy: a guide for data storytellers.

Introduction to Graphs and Charts Selection

When it comes to data visualization in business presentations , the choice of graphs and charts is pivotal. These visual aids are the storytellers of numerical tales, translating complex datasets into comprehensible narratives. The art lies in matching the story you wish to tell with the appropriate visual vehicle. Whether it’s a bar graph illustrating quarterly sales or a line chart tracking website traffic trends, the right selection can illuminate insights and guide decision-making processes. A well-chosen chart or graph not only enhances the business case presentation but also reinforces the message with clarity and impact.

Historically, visual representations of data have been instrumental in facilitating understanding. From Florence Nightingale's Coxcomb plots to John Snow's cholera outbreak maps, the ability to see patterns and relationships in data has shaped decision-making in business and beyond. Today, with the surge in big data and analytics, the role of presentation design services has grown exponentially. They specialize in harnessing the power of PowerPoint presentation design and other tools to distill and display data. The choice of graph or chart hinges on the nature of the data – categorical, time-series, comparative, or relational – and the story it is intended to convey.

Real-world Application and Current Trends

In the realm of real-world application, companies often turn to presentation design agencies to help them craft a compelling business case slide. For instance, a product launch with right presentation design agency might leverage a combination of pie charts and histograms to depict market segmentation and consumer preferences. Meanwhile, presentation design companies are increasingly adopting interactive dashboards, allowing for a dynamic and engaging data experience. These tools not only display static figures but also enable viewers to interact with the data, drilling down into specifics and exploring different scenarios on the fly.

Credibility in data representation is paramount, and referencing high-quality external sources is key to achieving this. For a presentation redesign for example, the use of business case templates with proven effectiveness can be backed by statistics from reputable agencies. According to a recent survey by a leading PowerPoint design agency, presentations that utilized tailored, data-specific graphs saw a 30% increase in audience engagement. Furthermore, a study in the Journal of Business Communication found that incorporating clear and relevant graphs in sales presentations increased the persuasiveness of the argument by 43%.

Simplifying the Complex: The Art of Streamlining Data Visualization

Introduction to Simplifying Complex Data

Data, by its nature, can be intricate and overwhelming, especially when large volumes are involved. This is where the second rule of data visualization in business presentations comes into play: simplification. The goal is to strip down complexity without losing the essence of the information. Simplifying complex data visualization involves choosing the right powerpoint presentation design services that can distill vast amounts of data into easily digestible visuals. By doing so, presentation design agencies ensure that the audience can quickly grasp the underlying patterns and messages without getting lost in a sea of numbers.

Delving into Simplification Techniques

The process of simplification is not about dumbing down data; it's about smart consolidation and prioritization. Techniques vary from employing data aggregation—whereby data is categorized into larger groups for a broader view—to highlighting significant data points to draw attention to critical trends or outliers. Google slides and other presentation software offer tools that can enhance simplicity, such as clean lines and comparative scales. These techniques by skilled presentation designers help to avoid cognitive overload and make the data more approachable and memorable.

Real-world examples abound where complex data visualization has been successfully simplified. Presentation design companies often showcase before-and-after scenarios to demonstrate their skill in transforming convoluted spreadsheets into intuitive charts. For instance, a recent corporate presentation by a tech giant exhibited a remarkable use of a minimalist interactive data dashboard that allowed the audience to explore various market scenarios with ease. Additionally, many presentation design agencies have created visual case studies that display their expertise in simplifying complex projects, making a strong case for their presentation services here.

Statistics show that presentations with simplified visuals have a higher retention rate. A survey by a top presentation design company revealed that their clients reported a 50% better understanding of data when it was presented in a simplified manner. The Harvard Business Review also emphasizes the effectiveness of simple visual aids, citing that investors and executives often prefer straightforward graphs over complex ones because they can quickly comprehend and act on the information. Thus, the importance of simplification in data visualization cannot be overstated, as evidenced by the expertise and recommendations of industry leaders.

Precision in Presentation: Ensuring Accuracy and Clarity in Data Visualization

Introduction to Accuracy and Clarity in Data

The integrity of a business case presentation hinges on the accuracy and clarity of its data visualization. This concept is a cornerstone in communicating information effectively, as even the most visually appealing business case presentation template can be rendered useless if the data it conveys is not accurate and clear. The challenge for presentation design services is to maintain the delicate balance between aesthetic appeal and the precise portrayal of data. It is a balance that requires a deep understanding of data nuances and a keen eye for design.

Background on the Importance of Accurate Data Representation

The history of data visualization is littered with examples where inaccuracies in data representation have led to misinformed decisions with significant consequences. Thus, presentation designers place a high emphasis on data integrity. Accuracy involves double-checking data sources, using appropriate scales, and avoiding misleading graph elements such as truncated axes or inappropriate intervals. Clarity is about making the data accessible, using the right type of graph to match the message, and avoiding clutter that can obscure the data's meaning.

Illustrating with Real-World Examples

Consider a PowerPoint presentation for a major product launch presentation. Here, precise market data visualization could be the difference between securing stakeholder buy-in or not. A presentation design agency might use clear, accurate bar charts to depict market share, while a sales presentation may require precise line graphs to forecast sales trends. Google Slides and other tools now offer advanced features that help ensure accuracy, such as live data integration, which can update charts in real-time to reflect the most current data.

The best presentation design companies not only focus on the aesthetics of graphs but also on the verifiability of the data presented. They often cite and link to data from credible sources, such as industry reports or academic studies, which adds a layer of trust to the presentation. For instance, a business case analysis might be supported by data from financial institutions or market research firms, complete with citations. According to a survey by a leading business school, presentations that referenced authoritative data sources were rated as more than persuasive presentations by 65% of executives surveyed.

Unveiling Success Stories: Real-world Examples of Effective Data Visualization

Introduction to Effective Data Visualization

Effective data visualization acts as a bridge between complex data sets and decision-making processes. It is a potent tool in a business case presentation, with the power to influence and inform. But what makes a data visualization effective? The answer lies in its ability to tell a story that is both compelling and understandable. It’s not just about presenting data; it’s about crafting a narrative that resonates with the audience. Presentation design services strive to achieve this by focusing on design elements that highlight the key messages within the data.

Background on Data Visualization Success

The success stories of data visualization are as varied as the fields that use them. For example, the use of infographics in business case slides has transformed dry statistics into engaging stories. Historical examples, like the work of Edward Tufte, who emphasized the importance of displaying data with integrity and simplicity, continue to influence modern presentation design. Moreover, both powerpoint presentations and presentation design services have evolved to incorporate storytelling elements, making data not just informative but also memorable.

Real-world Examples of Visualization

Among the notable instances of effective data visualization are the interactive dashboards used by major consulting firms. These dashboards have revolutionized the way data is presented, allowing users to interact with the information dynamically. For example, a business case analysis presented through an interactive dashboard can help the audience visualize the impact of different business scenarios. Another example is the annual reports of leading tech companies, which often employ a mix of charts, graphs, and animations to present financial data, user statistics, and performance metrics.

The real-world effectiveness of data visualization is often supported by research and expert opinion. A study published in the 'International Journal of Business Communication' found that incorporating well-designed charts and graphs could increase comprehension by up to 70%. Presentation design agencies often highlight these findings to validate their approaches. Additionally, companies like Google have published white papers on the effectiveness of visualization in Google Slides, demonstrating how visual storytelling aids information retention and decision-making.

The Art of Data Storytelling: Leveraging Infographics

Introduction to Data Storytelling Through Infographics

Infographics have revolutionized the way we understand and interact with data in a business case presentation. They blend visual appeal with information-rich content to create a compelling narrative. The essence of data storytelling lies in its ability to make complex information easily digestible, and infographics are the perfect vessel for this. Presentation design services use infographics to transform rows of data into a visual story that engages and informs the audience, making them a staple in the arsenal of best presentation design company.

Exploring the Evolution of Infographics

Infographics are not a modern invention; they have been used for centuries, from ancient cave paintings to the elaborate diagrams of the Renaissance. In the context of business, they have taken center stage as a means to convey business cases, market analyses, and statistical data. The evolution of presentation design tools, including PowerPoint presentation design services and Google Slides, has given rise to innovative infographic formats that combine images, charts, and text to depict information more dynamically and interactively.

Real-world Applications of Infographics

Business presentations , especially those related to marketing presentations and sales presentations, have benefited greatly from the use of infographics. For example, an infographic detailing customer demographics and purchasing behaviors can provide a clear picture of market segments in a business presentation. Presentation design agencies often showcase their expertise by creating infographics that distill complex data, such as financial reports or consumer surveys, into concise visuals that highlight key trends and insights.

Infographics must be rooted in reliable data to maintain credibility. Top presentation design companies ensure that the data they visualize comes from authoritative sources, often referencing industry reports, academic research, or proprietary data. For instance, a business case slide that includes an infographic might cite data from a well-known market research firm to back up the market trends it presents. The use of verifiable sources not only strengthens the message but also enhances the reputation of the business or individual presenting the data.

Enhancing Engagement: Animations and Transitions in Data Visualization

Introduction to Dynamic Visualizations in Presentations

In the landscape of business presentations , animations, and transitions are not mere embellishments; they serve as critical tools for enhancing the understanding and retention of data. When used judiciously, these dynamic elements can guide the audience through a narrative, revealing insights step-by-step and keeping them engaged. The judicious use of animations in PowerPoint presentation design services, for instance, can turn a static business case slide into an interactive storytelling experience.

The Role of Animations in Simplifying Information

Animations can break down complex information into manageable sequences, making it easier for the audience to follow and absorb. By progressively disclosing information, animations help to maintain focus and can effectively highlight changes over time or the relationship between data points. Presentation design agencies understand the cognitive load of their audience and use transitions to direct attention, reduce overwhelm, and facilitate the digestion of complex data.

Real-world Examples of Effective Use of Animations

Consider the impact of a well-animated product launch presentation. It can reveal market trends, product features, and user statistics in a manner that builds anticipation and keeps the audience engaged. Real-world examples include sales presentations that use motion to track the journey of a product from conception to market leader. Presentation designers may use animated charts to depict the growth trajectory, with each phase of growth revealed through a transition, creating a more memorable presentation and persuasive narrative.

While animations can add a layer of sophistication to presentations, their accuracy and relevance should be grounded in solid data. Top presentation design service companies often quote statistics on the effectiveness of animated visuals. For instance, research has shown that animated visuals in a PowerPoint presentation can increase audience engagement by up to 40%. Presentation design services ensure that the animated elements are not only visually appealing but also represent the data faithfully, often referencing and displaying source data on-screen during the presentation for transparency and trustworthiness.

Interactive Insights: The Power of Data Dashboards in Presentations

Introduction to Interactive Data Dashboards

Data dashboards are at the forefront of modern business presentations, offering a dynamic and interactive way to display complex data. They serve as a control panel, providing a comprehensive view of metrics and key performance indicators (KPIs) at a glance. In a business case presentation, an interactive dashboard can empower the audience to engage directly with the data, fostering a deeper understanding and a more personalized experience.

The Evolution and Importance of Dashboards

Historically, data was presented in static tables and charts, which could be difficult to interpret and act upon. The advent of interactive dashboards has changed the game, allowing users to filter, drill down, and manipulate data in real time. This evolution has been driven by advances in presentation design services and software, with PowerPoint presentation design services now integrating dashboard functionality into their offerings. Dashboards have become an essential tool for project managers and business analysts to convey complex data succinctly and effectively.

Dashboards in Action: Case Studies

Real-world examples of dashboard implementation include multinational corporations that use them for tracking sales and operations across different regions. Presentation design agencies have crafted bespoke dashboards for these companies, which are used in executive summaries and monthly reports. These dashboards often include interactive elements like sliders and dropdown menus, allowing viewers to select different data segments and receive immediate, visual feedback.

The inclusion of interactive dashboards is supported by research indicating their effectiveness. For instance, a study from a presentation design company found that presentations featuring interactive dashboards saw a 50% increase in audience participation. Furthermore, industry experts from presentation design agencies have noted that interactive dashboards can lead to more informed decision-making, as they allow users to explore and interrogate the data themselves, leading to a more engaging and insightful presentation.

Future-Proofing Presentations: Trends in Data Visualization for Business

Introduction to Data Visualization Trends

As the business landscape evolves, so do the trends in data visualization. Keeping abreast of these trends is crucial for any business case presentation, as it reflects a company's ability to adapt and innovate. From AI-powered analytics to real-time data feeds, the latest trends in data visualization are shaping the way businesses present and interpret data. Presentation design services that stay ahead of these trends not only offer cutting-edge solutions but also provide their clients with a competitive edge.

Understanding the Impact of New Visualization Techniques

Emerging technologies are continuously influencing the techniques used in presentation design. For instance, augmented reality (AR) and virtual reality (VR) are beginning to find their way into powerpoint presentation design services, offering immersive ways to explore data. Big data and machine learning are also impacting the field, with algorithms now capable of identifying patterns and insights that might be missed by the human eye, and presenting them in novel and compelling ways.

Case Studies: Innovation in Data Visualization

Innovative companies are already harnessing these new trends to powerful effect. A business case slide that uses AR can allow stakeholders to visualize product placement in a real-world setting, while VR can create an immersive environment for exploring complex datasets. Presentation design agencies are also leveraging these technologies to offer more impactful and engaging presentation experiences. For example, a financial firm used an interactive, real-time data visualization to illustrate market fluctuations during a high-stakes investment meeting, enabling investors to make more informed decisions on the spot.

The future of data visualization is a hot topic among industry experts and thought leaders. Research papers and tech conferences often highlight the potential for AI and interactive elements to transform business presentations. A recent article in a tech journal by a leading presentation design company projected that the use of dynamic and interactive data visualization will increase by 70% in the next five years. This suggests a future where data visualization not only informs but also interacts with the audience in real-time, making presentations more engaging and informative.

Mastering the Numbers: Strategies for Presenting Statistical Data

Introduction to Statistical Data Presentation Strategies

Presenting statistical data effectively is a cornerstone of a persuasive business case for best presentation design agency. The challenge is to present statistics in a way that is accurate, accessible, and engaging. This requires a blend of clear communication, appropriate visualization, and a narrative that connects the data to the audience's needs and interests. Successful presentation design services understand that the right strategies can transform raw numbers into powerful insights.

Deep Dive into Effective Data Strategy

The key to presenting statistics effectively lies in understanding the audience and the context. For a product launch presentation, this might involve focusing on consumer statistics and market potential. Presentation design agencies have developed a range of strategies to handle such data, such as segmenting information, using relative comparisons, and emphasizing change over time. These techniques help to contextualize data, making it more meaningful and impactful for the audience.

Real-World Examples of Statistical Presentation

Real-world examples of statistical data presentation abound in annual business reports and market analysis presentations. For instance, sales presentations often use comparative bar graphs to show performance against competitors, while business case analyses might employ scatter plots to identify correlation between variables. In these cases, presentation designers aim to highlight the most important statistics to support the narrative of the presentation.

Credibility in statistical presentation is reinforced by sourcing data from reputable institutions. Presentation design companies often cite market research firms, government databases, and academic studies to back up the data they present. For example, a business case slide might include statistics from an industry report, adding authority to the presentation. According to a study by a leading university, presentations that include cited statistics are considered more trustworthy by 80% of business executives.

The Persuasive Power of Data: Visualization for Impact

Introduction to Persuasive Data Visualization

In the world of business presentations , data visualization is not just about displaying information; it's about persuasion. It's about using data effectively to influence and drive decision-making. A business case presentation, for instance, needs to do more than just inform—it must convince. To achieve this, presentation design services must leverage data visualization techniques that not only present data but also tell a compelling story, creating an emotional connection with the audience and emphasizing the key takeaways.

Background on the Art of Persuasion through Data

The art of persuasion in data visualization is rooted in an understanding of human psychology and the principles of design. It involves the strategic use of colors, shapes, and layouts to emphasize important data points and guide the audience's perception. For instance, a PowerPoint presentation design that wants to underscore growth will use ascending bar charts with bold, upward-pointing arrows. Presentation designers are adept at using visual hierarchies to direct attention to key factors and employ contrast to create focal points for persuasive storytelling.

Case Studies of Impactful Data Visualization

Looking at case studies, we find numerous instances where data visualization has been used to great persuasive effect. Sales presentations, for instance, often use infographics to highlight customer satisfaction rates or to compare feature benefits. A presentation design company might produce a business case slide that uses a combination of pie charts and pictograms to represent market share and demographic segments, making the data more relatable and impactful.

The persuasive power of visualizations is often backed by data and research from credible sources. Presentation design agencies typically reference statistical evidence to support the choices made in data representation. For instance, a study might show that presentations with data visualizations are 43% more persuasive than those without. Furthermore, experts from presentation design services can cite cases where their visual strategies have directly contributed to successful business outcomes, such as increased investment or improved stakeholder buy-in.

What should be included in a business case presentation?

A business case presentation should include an executive summary, problem statement, proposed solution, benefits and drawbacks, cost-benefit analysis, risk assessment, and implementation plan. Visual aids like graphs and charts should be used to support the data presented.

What are the 4 key elements that a business case should contain?

The four key elements include the executive summary, business idea, analysis of the problem or opportunity, discussion of possible solutions, and a recommendation with justification.

How do you present a business use case?

Present a business use case by starting with a clear problem statement, a simple business case template followed by the proposed solution, the benefits, and how it aligns with business objectives. Use data visualization to make your case compelling.

How do you present an effective business case?

An effective business case is presented by clearly defining the problem, showcasing the benefits of your solution, providing a detailed analysis and evidence, and concluding final presentation with a strong call to action. Incorporate visual data representation for clarity and impact.

What is a business case slide?

A business case slide is a part of a presentation deck that succinctly presents the rationale for a project or initiative, highlighting the benefits, costs, and impact on the organization. It uses graphs, charts, and bullet points for easy comprehension.

How do you structure a business case presentation?

Structure a business case presentation by including an introduction, background information, presentation of the business case, analysis of alternatives, recommended solution, implementation plan, and conclusion. Use charts and graphs to visualize data.

What should a business case include?

A business case should include an introduction, problem statement, analysis of options, technical details, recommended solution, implementation plan, financial analysis, risk assessment, and conclusion. Visual aids can enhance understanding and retention.

How do you write a case study slide?

Write a case study slide by summarizing the background, challenge, solution, and results. Use visuals like graphs, charts, and images to illustrate key points and outcomes effectively.

How much does it cost to design a PowerPoint presentation?

The cost to design a PowerPoint presentation can vary widely, from $100 to over $1,000, depending on complexity, length, and the expertise of the designer or agency involved.

How do I get a PowerPoint designer?

PowerPoint Designer is a feature within Microsoft PowerPoint that offers design ideas for slides. To use it, simply start creating a slide, and the Designer panel will offer suggestions. Ensure you have an active internet connection and a valid Microsoft 365 subscription.

How much does the presentation design cost per page?

Presentation design costs per page can range from $10 to $50 or more, based on the the design style, complexity, amount of content, and the designer's expertise.

How much does Slide Genius cost?

Slide Genius offers custom quotes based on the specific needs of a project. Pricing can vary based on the complexity of the presentation, the number of slides, and additional services required.

How do you start a product launch presentation?

Start a product launch presentation with a compelling story or statistic that highlights the need or opportunity for the product. Follow with an overview of the product, its features, benefits, and market potential, using engaging visuals to captivate the audience.

How do you introduce a product in a presentation?

Introduce a product by clearly defining the problem it solves, its unique value proposition, key features, and benefits. Use visuals and data to support your points and make the presentation partner introduction memorable.

How do you introduce a new product launch?

Introduce a new product launch by setting the stage with market insights, the inspiration behind the product, its differentiation points, and expected impact. Engage the audience with dynamic visuals and compelling data.

What are the five steps to launching a product?

The five steps to launching a product include market research, product development, creating a marketing plan, preparing the launch, and executing the launch strategy. Incorporating visual data presentations can enhance each step.

How much do presentation designers charge?

Presentation designers charge based on the project scope, with rates ranging from $50 to $200 per hour. Fixed project rates are also common, varying based on complexity and requirements.

What is a presentation design agency?

A presentation design agency specializes in creating visually appealing and effective presentation slides keynote presentations. They offer services like custom design, storytelling, and data visualization to enhance the impact of presentations.

Are presentation designers in demand?

Yes, presentation designers are in high demand, especially in fields requiring complex data visualization, persuasive storytelling, and professional branding in presentations.

Which company is best for presentation design?

The best company for presentation design depends on specific needs, but firms like Slide Genius, Presentation Design Co., and Buffalo 7 are highly regarded for their expertise and creativity in creating impactful corporate presentations.

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Powerpoint Templates and Google slides for Data Science Case Studies

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