- All Data Presentations
- 3D Chart Example
- 3D Chart Maker
- Bar Chart (Divided)
- Bar Chart Maker
- Bar Chart (Percentage)
- Bar Chart (Range)
- Beach Profile Maker
- Bi-Polar Graphs
- Bihistogram Creator
- Bi-Polar Chart Maker
- Box Plot Creator
- Cailleux Roundness
- Choropleth Maps
- Coding Analysis
- Cross Section Maker
- Cumulative Frequency
- Divided Bar Charts
- Donut Chart Maker
- Histogram Creator
- Line Chart Maker
Line of Best Fit
- Kite Data Entity Example
- Kites Data Entity Maker
- Kites Species Creator
- Kites Species Example
- Map Cross Section Maker
- Percentage Bar Charts
- Pie Chart Maker
- Pie Chart Maker Example
- Polar Area Chart Maker
- Polar Area Example
- Polar Chart Example
- Polar Chart Maker
- Polar Overlays Example
- Polar Overlays Maker
- Polar Scatter Maker
- Proportional Circles
- Proportional Circle Maker
Radar Charts
- Radar Chart Maker
Radar Chart Overlays
- Range Bar Charts
River Cross Sections
- Rose Diagram Example
- Rose Diagram Maker
- Sand Dune Profiles
Scatter Graphs
- Scatter Graph Maker
- Slope Profile Example
- Slope Profile Maker
- Stacked Bar Chart Maker
- Stacked Bar Example
Triangular Graphs
- Triangular Graph Example
- Triangular Graph Maker
- Word Cloud Example
- Word Cloud Maker
- Beach Profiles
- Lichenometry
- Map Reading
- River Discharge
- Gentrification
- Mapping Techniques
- Slope Steepness
- Minimum Sample Size
- Optimum Quadrat Size
- Random Numbers
- Random Sampling
- Sampling Problems
- Sample Size
- Urban Sampling
- Box Plot Maker
- Beach Volume
- Hydraulic Radius
- Mann Whitney U Test
- Manning's n
- Nearest Neighbour
- River Cross Section
- Scatter Graph Creator
- Simpson's Diversity Index
- Slope Steepness Index
- Spearman's Rank
- Spearman's Calculator
- Standard Deviation
- Statistical Methods
- Wetted Perimeter
Geography Data Presentation Techniques and Methods
Many of the most appropriate types of data presentation techniques used to visualise raw geographical data are shown on this page. We provide the tools to create and save the images shown and these are quick and easy to use, free with no account or log-in required.
Besides creating images, the geography data presentation tools have many mathematical functions. These include the calculation of cross sectional area for beach profiles and river cross sections, trend lines for scatter graphs and standard deviation for box plots.
Simply open the calculator for your chosen technique, enter your data, adjust titles and data labels. An image of your data presentation and the calculations used to create it are then instantly ready for download.
Percentage or Divided Bar Charts
Stacked bar charts, min-max range floating bar charts, beach profiles (using slope angle data), beach profiles (using height change data).
Beach Profiles (using absolute height data)
BiHistograms
Bi-polar charts, box plots or box and whisker charts (horizontal), box plots (vertical).
Box Plots (Outliers)
Box Plots (Mean and Standard Deviation)
Cumulative Frequency Chart
Donut (Doughnut) Charts
Kite diagrams (any data entities), kite diagrams (species abundance), line charts.
Map Cross Sections
Polar Area Charts
Polar Charts
Polar Chart Overlays
Polar Scatter Charts
Proportional circles chart.
Rose Diagrams
Sand Dune Profiles (using slope angle data)
Slope Profiles (using slope angle data)
Word Clouds
- 0 Shopping Cart
Data Presentation in Geography
Data Presentation Techniques – How and Why?
Divided Bar Chart
Pyramid Pyramid
Compound Line Graph
Scatter Graphs
Dispersion Graphs
Choropleth Maps
Coming Soon – Data Presentation Techniques – How and Why?
Located Bar Chart
Desire Line
Proportional Symbols
Coming soon! – I want to…
Share this:.
- Click to share on Twitter (Opens in new window)
- Click to share on Facebook (Opens in new window)
- Click to share on Pinterest (Opens in new window)
- Click to email a link to a friend (Opens in new window)
- Click to share on WhatsApp (Opens in new window)
- Click to print (Opens in new window)
Please Support Internet Geography
If you've found the resources on this site useful please consider making a secure donation via PayPal to support the development of the site. The site is self-funded and your support is really appreciated.
Search Internet Geography
Top posts and pages.
Latest Blog Entries
Pin It on Pinterest
- Click to share
- Print Friendly
- Geographical skills and enquiry
- Human geography
- Physical geography
- Careers Spotlights
- Skills Boosts
Webinars //
Skills boost, presenting fieldwork data, hosted by chloe searl.
In this skills boost, Chloe looks at what we mean by 'appropriate' data presentation and how to optimise this to boost your fieldwork grade. She looks at how to present spatial and qualitative data, and ways of combining these methods to create standout graphics that grab people's attention and most importantly showcase the geography.
Presented by Chloe Searl, the Island Geographer and writer of the three accompanying texts on Methods of Collecting, Analysing and Presenting Fieldwork Data. Find them in the GA Shop here .
Share with friends
Get in Touch
The Geographical Association 160 Solly Street, Sheffield, S1 4BF
0114 296 0088 [email protected]
Stay Social
Cookies Privacy Terms Sitemap
© 2020 The Geographical Association. Charity no. 1135148. Company no. 07139068. Website by QWeb Ltd
Concept, Types, Collection, Classification and Representation of Geographical Data
- First Online: 30 November 2021
Cite this chapter
- Swapan Kumar Maity 3
Part of the book series: Advances in Geographical and Environmental Sciences ((AGES))
281 Accesses
Geography is a scientific discipline which emphasizes on the collection, processing, suitable representation and logical and scientific interpretation of various types of primary and secondary data for better understanding and explanation of the spatial distributions and variations of different geographical features and phenomena on or near the surface of the earth. This chapter focuses on the concept and types of data used in geographical analysis, sources of each type of data, methods of their collection as well as the advantages and disadvantages of their use. Major differences between various types of data are discussed clearly with suitable examples. It includes the detailed discussion of the concept of attribute and variable, types of variables and differences between them. Different types of measurement scales used in geographical analysis, their characteristics and application in geographical study have been explained with numerous examples. Techniques of classification, tabulation and processing of the collected data on different basis (i.e. based on location, time etc.) are discussed properly with special emphasis on the preparation of frequency distribution table and related terminologies. Methods of representation of all types of geographical data, their appropriateness and advantages and disadvantages have been explained with suitable examples.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
- Available as PDF
- Read on any device
- Instant download
- Own it forever
- Available as EPUB and PDF
- Compact, lightweight edition
- Dispatched in 3 to 5 business days
- Free shipping worldwide - see info
- Durable hardcover edition
Tax calculation will be finalised at checkout
Purchases are for personal use only
Institutional subscriptions
Bose A (1980) Statistics. Calcutta Book House, 1/1 Bankim Chatterjee Street, Calcutta 700073
Google Scholar
Connor LR (1937) Statistics in theory & practice, 2nd edn, Sir Isaac Pitman & Sons, Inc
Das NG (2009) Statistical methods, vol. I & II. McGraw Hill Education (India) Pvt Ltd, ISBN: 978-0-07-008327-1
Galtung J (1968) A structural theory of integration. J Peace Res 5(4):375–395
Article Google Scholar
Gregory H, Ward D (1967) Statistics for business studies. McGraw-Hill. ISBN:9780070944909
Kapur SK (1995) Elements of practical statistics. Oxford & IBH Publishing Co Pvt Ltd., New Delhi
Khan MAT (2006) Quantitative techniques in geography. Perfect Publications, Dhaka. ISBN: 984-8642-02-1
Pal SK (1998) Statistics for Geoscientists: Techniques and Applications. Concept Publishing Company, New Delhi. ISBN: 81-7022-712-1
Sarkar A (2015) Practical geography: a systematic approach. Orient Blackswan Private Limited, Hyderabad, Telengana, India. ISBN: 978-81-250-5903-5
Young PV (1994) Scientific social surveys and research. Prentice Hall of India Private Limited, New Delhi
Download references
Author information
Authors and affiliations.
Department of Geography, Nayagram P.R.M. Government College, Jhargram, West Bengal, India
Swapan Kumar Maity
You can also search for this author in PubMed Google Scholar
Rights and permissions
Reprints and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this chapter
Maity, S.K. (2021). Concept, Types, Collection, Classification and Representation of Geographical Data. In: Essential Graphical Techniques in Geography. Advances in Geographical and Environmental Sciences. Springer, Singapore. https://doi.org/10.1007/978-981-16-6585-1_1
Download citation
DOI : https://doi.org/10.1007/978-981-16-6585-1_1
Published : 30 November 2021
Publisher Name : Springer, Singapore
Print ISBN : 978-981-16-6584-4
Online ISBN : 978-981-16-6585-1
eBook Packages : Earth and Environmental Science Earth and Environmental Science (R0)
Share this chapter
Anyone you share the following link with will be able to read this content:
Sorry, a shareable link is not currently available for this article.
Provided by the Springer Nature SharedIt content-sharing initiative
- Publish with us
Policies and ethics
- Find a journal
- Track your research
Become a member and discover where geography can take you.
- Resources for ...
- A student guid...
A student guide to the A Level independent investigation (Non-examined Assessment - NEA)
The following documents are available in the Downloads section below:
Download a copy of the guide below
Lawrlwythwch gopi o'r canllaw
Before you start
i – Independent Investigation - Student Planning Form Independent Investigation - Student Planning Form (Word document) ii – A Guide to Writing A Research Plan iii – A Guide to Effective Background Reading iv – A Guide to Referencing
Section 1 – Introduction
1a – A Guide to Hypotheses
Section 2 – Data collection
2a – A Guide to Different Types of Data
2b – A Guide to Data Collection Techniques – Quantitative Measuring
2c – A Guide to Data Collection Techniques – Surveys
2d – A Guide to Data Collection Techniques – Interviews
2e – A Guide to Data Collection Techniques – Questionnaires
2f – A Guide to Data Collection Techniques – Observations, Photographs and Field Sketches
2g – A Guide to Sampling Techniques
2h – A Guide to Recording Data in the Field
2i – A Guide to Avoiding Biased Data
Section 3 – Data presentation
3a – A Guide to Column Charts and Histograms
3b – A Guide to Pictograms
3c – A Guide to Pie Charts
3d – A Guide to Scatter and Line Graphs
3e – A Guide to Box and Whisker Graphs
3f – A Guide to Kite Diagrams
3g – A Guide to Triangular graphs
3h – A Guide to Rose and Radial Graphs
3i – A Guide to Isoline Maps
3j – A Guide to Choropleth Maps
3k – A Guide to Pictorial Data Presentation
3l – A Guide to Presenting Qualitative Data
Section 4 – Data analysis
4a – A Guide to Measures of Central Tendency
4b – A Guide to Measuring Proportions
4c – A Guide to Measures of Dispersion
4d – A Guide to Cost-Benefit Analysis
4e – A Guide to Spearman’s Rank
4f – A Guide to Chi-Squared Testing
4g – A Guide to Simpson’s Diversity Index
4h – A Guide to Pearson’s Product Moment
4i – A Guide to Nearest Neighbour Analysis
4j – A Guide to Mann-Whitney U Test
4k – A Guide to Qualitative Data Analysis
Section 5 – Conclusions
Section 6 – Evaluation
Section 7 – Final checks
Posters – A guide to reading your research landscape
A copy of FAQs from the awarding bodies
View a video from the Royal Met Soc - MetLink - Weather Fieldwork for your A Level Geography Independent Investigation
File name Files
Full Guide: Guide to the NEA
Student Planning Form - Word
Student Planning Form - PDF
A Guide to Writing A Research Plan
A Guide to Effective Background Reading
A Guide to Referencing
1a – A Guide to Hypotheses
2a – A Guide to Different Types of Data
2b – A Guide to Data Collection Techniques – Quantitative Measuring
2c – A Guide to Data Collection Techniques – Surveys
2d – A Guide to Data Collection Techniques – Interviews
2e – A Guide to Data Collection Techniques – Questionnaires
2f – A Guide to Data Collection Techniques – Observations, Photographs and Field Sketches
2g – A Guide to Sampling Techniques
2h – A Guide to Recording Data in the Field
2i – A Guide to Avoiding Biased Data
3a – A Guide to Column Charts and Histograms
3b – A Guide to Pictograms
3c – A Guide to Pie Charts
3d – A Guide to Scatter and Line Graphs
3e – A Guide to Box and Whisker Graphs
3f – A Guide to Kite Diagrams
3g – A Guide to Triangular graphs
3h – A Guide to Rose and Radial Graphs
3i – A Guide to Isoline Maps
3j – A Guide to Choropleth Maps
3k – A Guide to Pictorial Data Presentation
3l – A Guide to Presenting Qualitative Data
4a – A Guide to Measures of Central Tendency
4b – A Guide to Measuring Proportions
4c – A Guide to Measures of Dispersion
4d – A Guide to Cost-Benefit Analysis
4e – A Guide to Spearman’s Rank
4f – A Guide to Chi-Squared Testing
4g – A Guide to Simpson’s Diversity Index
4h – A Guide to Pearson’s Product Moment
4i – A Guide to Nearest Neighbour Analysis
4j – A Guide to Mann-Whitney U Test
4k – A Guide to Qualitative Data Analysis
Section 7 – Final checks
Posters – A guide to reading your research landscape
Poster – RMetS weather and climate
FAQs from the awarding bodies
A Guide to Collecting Weather Data
BSG geomorphology projects for students
NEA word limit letter
Ethical Data resources
Doug Specht and colleagues from the University of Westminster have produced resources to provide some extra guidance and support around ethics and data use for the NEA
This project was funded by the Nuffield Foundation, but the views expressed are those of the authors and not necessarily those of the Foundation
Back To Top
10 Methods of Data Presentation with 5 Great Tips to Practice, Best in 2024
Leah Nguyen • 05 Apr 2024 • 11 min read
There are different ways of presenting data, so which one is suited you the most? You can end deathly boring and ineffective data presentation right now with our 10 methods of data presentation . Check out the examples from each technique!
Have you ever presented a data report to your boss/coworkers/teachers thinking it was super dope like you’re some cyber hacker living in the Matrix, but all they saw was a pile of static numbers that seemed pointless and didn’t make sense to them?
Understanding digits is rigid . Making people from non-analytical backgrounds understand those digits is even more challenging.
How can you clear up those confusing numbers in the types of presentation that have the flawless clarity of a diamond? So, let’s check out best way to present data. 💎
Table of Contents
- What are Methods of Data Presentations?
- #1 – Tabular
#2 – Text
#3 – pie chart, #4 – bar chart, #5 – histogram, #6 – line graph, #7 – pictogram graph, #8 – radar chart, #9 – heat map, #10 – scatter plot.
- 5 Mistakes to Avoid
- Best Method of Data Presentation
Frequently Asked Questions
More tips with ahaslides.
- Marketing Presentation
- Survey Result Presentation
- Types of Presentation
Start in seconds.
Get any of the above examples as templates. Sign up for free and take what you want from the template library!
What are Methods of Data Presentation?
The term ’data presentation’ relates to the way you present data in a way that makes even the most clueless person in the room understand.
Some say it’s witchcraft (you’re manipulating the numbers in some ways), but we’ll just say it’s the power of turning dry, hard numbers or digits into a visual showcase that is easy for people to digest.
Presenting data correctly can help your audience understand complicated processes, identify trends, and instantly pinpoint whatever is going on without exhausting their brains.
Good data presentation helps…
- Make informed decisions and arrive at positive outcomes . If you see the sales of your product steadily increase throughout the years, it’s best to keep milking it or start turning it into a bunch of spin-offs (shoutout to Star Wars👀).
- Reduce the time spent processing data . Humans can digest information graphically 60,000 times faster than in the form of text. Grant them the power of skimming through a decade of data in minutes with some extra spicy graphs and charts.
- Communicate the results clearly . Data does not lie. They’re based on factual evidence and therefore if anyone keeps whining that you might be wrong, slap them with some hard data to keep their mouths shut.
- Add to or expand the current research . You can see what areas need improvement, as well as what details often go unnoticed while surfing through those little lines, dots or icons that appear on the data board.
Methods of Data Presentation and Examples
Imagine you have a delicious pepperoni, extra-cheese pizza. You can decide to cut it into the classic 8 triangle slices, the party style 12 square slices, or get creative and abstract on those slices.
There are various ways for cutting a pizza and you get the same variety with how you present your data. In this section, we will bring you the 10 ways to slice a pizza – we mean to present your data – that will make your company’s most important asset as clear as day. Let’s dive into 10 ways to present data efficiently.
#1 – Tabular
Among various types of data presentation, tabular is the most fundamental method, with data presented in rows and columns. Excel or Google Sheets would qualify for the job. Nothing fancy.
This is an example of a tabular presentation of data on Google Sheets. Each row and column has an attribute (year, region, revenue, etc.), and you can do a custom format to see the change in revenue throughout the year.
When presenting data as text, all you do is write your findings down in paragraphs and bullet points, and that’s it. A piece of cake to you, a tough nut to crack for whoever has to go through all of the reading to get to the point.
- 65% of email users worldwide access their email via a mobile device.
- Emails that are optimised for mobile generate 15% higher click-through rates.
- 56% of brands using emojis in their email subject lines had a higher open rate.
(Source: CustomerThermometer )
All the above quotes present statistical information in textual form. Since not many people like going through a wall of texts, you’ll have to figure out another route when deciding to use this method, such as breaking the data down into short, clear statements, or even as catchy puns if you’ve got the time to think of them.
A pie chart (or a ‘donut chart’ if you stick a hole in the middle of it) is a circle divided into slices that show the relative sizes of data within a whole. If you’re using it to show percentages, make sure all the slices add up to 100%.
The pie chart is a familiar face at every party and is usually recognised by most people. However, one setback of using this method is our eyes sometimes can’t identify the differences in slices of a circle, and it’s nearly impossible to compare similar slices from two different pie charts, making them the villains in the eyes of data analysts.
Bonus example: A literal ‘pie’ chart! 🥧
The bar chart is a chart that presents a bunch of items from the same category, usually in the form of rectangular bars that are placed at an equal distance from each other. Their heights or lengths depict the values they represent.
They can be as simple as this:
Or more complex and detailed like this example of presentation of data. Contributing to an effective statistic presentation, this one is a grouped bar chart that not only allows you to compare categories but also the groups within them as well.
Similar in appearance to the bar chart but the rectangular bars in histograms don’t often have the gap like their counterparts.
Instead of measuring categories like weather preferences or favourite films as a bar chart does, a histogram only measures things that can be put into numbers.
Teachers can use presentation graphs like a histogram to see which score group most of the students fall into, like in this example above.
Recordings to ways of displaying data, we shouldn’t overlook the effectiveness of line graphs. Line graphs are represented by a group of data points joined together by a straight line. There can be one or more lines to compare how several related things change over time.
On a line chart’s horizontal axis, you usually have text labels, dates or years, while the vertical axis usually represents the quantity (e.g.: budget, temperature or percentage).
A pictogram graph uses pictures or icons relating to the main topic to visualise a small dataset. The fun combination of colours and illustrations makes it a frequent use at schools.
Pictograms are a breath of fresh air if you want to stay away from the monotonous line chart or bar chart for a while. However, they can present a very limited amount of data and sometimes they are only there for displays and do not represent real statistics.
If presenting five or more variables in the form of a bar chart is too stuffy then you should try using a radar chart, which is one of the most creative ways to present data.
Radar charts show data in terms of how they compare to each other starting from the same point. Some also call them ‘spider charts’ because each aspect combined looks like a spider web.
Radar charts can be a great use for parents who’d like to compare their child’s grades with their peers to lower their self-esteem. You can see that each angular represents a subject with a score value ranging from 0 to 100. Each student’s score across 5 subjects is highlighted in a different colour.
If you think that this method of data presentation somehow feels familiar, then you’ve probably encountered one while playing Pokémon .
A heat map represents data density in colours. The bigger the number, the more colour intense that data will be represented.
Most U.S citizens would be familiar with this data presentation method in geography. For elections, many news outlets assign a specific colour code to a state, with blue representing one candidate and red representing the other. The shade of either blue or red in each state shows the strength of the overall vote in that state.
Another great thing you can use a heat map for is to map what visitors to your site click on. The more a particular section is clicked the ‘hotter’ the colour will turn, from blue to bright yellow to red.
If you present your data in dots instead of chunky bars, you’ll have a scatter plot.
A scatter plot is a grid with several inputs showing the relationship between two variables. It’s good at collecting seemingly random data and revealing some telling trends.
For example, in this graph, each dot shows the average daily temperature versus the number of beach visitors across several days. You can see that the dots get higher as the temperature increases, so it’s likely that hotter weather leads to more visitors.
5 Data Presentation Mistakes to Avoid
#1 – assume your audience understands what the numbers represent.
You may know all the behind-the-scenes of your data since you’ve worked with them for weeks, but your audience doesn’t.
Showing without telling only invites more and more questions from your audience, as they have to constantly make sense of your data, wasting the time of both sides as a result.
While showing your data presentations, you should tell them what the data are about before hitting them with waves of numbers first. You can use interactive activities such as polls , word clouds , online quiz and Q&A sections , combined with icebreaker games , to assess their understanding of the data and address any confusion beforehand.
#2 – Use the wrong type of chart
Charts such as pie charts must have a total of 100% so if your numbers accumulate to 193% like this example below, you’re definitely doing it wrong.
Before making a chart, ask yourself: what do I want to accomplish with my data? Do you want to see the relationship between the data sets, show the up and down trends of your data, or see how segments of one thing make up a whole?
Remember, clarity always comes first. Some data visualisations may look cool, but if they don’t fit your data, steer clear of them.
#3 – Make it 3D
3D is a fascinating graphical presentation example. The third dimension is cool, but full of risks.
Can you see what’s behind those red bars? Because we can’t either. You may think that 3D charts add more depth to the design, but they can create false perceptions as our eyes see 3D objects closer and bigger than they appear, not to mention they cannot be seen from multiple angles.
#4 – Use different types of charts to compare contents in the same category
This is like comparing a fish to a monkey. Your audience won’t be able to identify the differences and make an appropriate correlation between the two data sets.
Next time, stick to one type of data presentation only. Avoid the temptation of trying various data visualisation methods in one go and make your data as accessible as possible.
#5 – Bombard the audience with too much information
The goal of data presentation is to make complex topics much easier to understand, and if you’re bringing too much information to the table, you’re missing the point.
The more information you give, the more time it will take for your audience to process it all. If you want to make your data understandable and give your audience a chance to remember it, keep the information within it to an absolute minimum. You should set your session with open-ended questions , to avoid dead-communication!
What are the Best Methods of Data Presentation?
Finally, which is the best way to present data?
The answer is…
There is none 😄 Each type of presentation has its own strengths and weaknesses and the one you choose greatly depends on what you’re trying to do.
For example:
- Go for a scatter plot if you’re exploring the relationship between different data values, like seeing whether the sales of ice cream go up because of the temperature or because people are just getting more hungry and greedy each day?
- Go for a line graph if you want to mark a trend over time.
- Go for a heat map if you like some fancy visualisation of the changes in a geographical location, or to see your visitors’ behaviour on your website.
- Go for a pie chart (especially in 3D) if you want to be shunned by others because it was never a good idea👇
What is chart presentation?
A chart presentation is a way of presenting data or information using visual aids such as charts, graphs, and diagrams. The purpose of a chart presentation is to make complex information more accessible and understandable for the audience.
When can I use charts for presentation?
Charts can be used to compare data, show trends over time, highlight patterns, and simplify complex information.
Why should use charts for presentation?
You should use charts to ensure your contents and visual look clean, as they are the visual representative, provide clarity, simplicity, comparison, contrast and super time-saving!
What are the 4 graphical methods of presenting data?
Histogram, Smoothed frequency graph, Pie diagram or Pie chart, Cumulative or ogive frequency graph, and Frequency Polygon.
Leah Nguyen
Words that convert, stories that stick. I turn complex ideas into engaging narratives - helping audiences learn, remember, and take action.
More from AhaSlides
404 Not found
404 Not found
Cambridge IGCSE Geography
Website by Paul Christmas
Updated 25 April 2024
InThinking Subject Sites
Subscription websites for Cambridge IGCSE teachers & their classes
Find out more
- thinkigcse.net
- IGCSE Economics
- IGCSE History
- IGCSE Mathematics
InThinking Subject Sites for Cambridge IGCSE Teachers and their Classes
Supporting igcse educators.
- Comprehensive help & advice on teaching IGCSE.
- Written by experts with vast subject knowledge.
- Innovative ideas on ATL & pedagogy.
- Detailed guidance on all aspects of assessment.
Developing great materials
- More than one million words across 4 sites.
- Masses of ready-to-go resources for the classroom.
- Dynamic links to current affairs & real world issues.
- Updates every week 52 weeks a year.
Integrating student access
- Give your students direct access to relevant site pages.
- Single student login for all of your school’s subscriptions.
- Create reading, writing, discussion, and quiz tasks.
- Monitor student progress & collate in online gradebook.
Meeting schools' needs
- Global reach with thousands of users worldwide.
- Use our materials to create compelling unit plans.
- Save time & effort which you can reinvest elsewhere.
- Consistently good feedback from subscribers.
For information about pricing, click here
Download brochure
- Data Presentation Methods
- Student e-book
This page provides guidance on different types of data presentation. It shows how they can be interpreted and explains their advantages and disadvantages.
To access the entire contents of this site, you need to log in or subscribe to it.
Alternatively, you can request a one month free trial .
- School Guide
- Class 12 Syllabus
- Class 12 Revision Notes
- Maths Notes Class 12
- Physics Notes Class 12
- Chemistry Notes Class 12
- Biology Notes Class 12
- NCERT Solutions Class 12 Maths
- RD Sharma Solutions Class 12
- Methods of Relief Representation| Class 11 Geography
Graphical Representation of Data
- Diagrammatic and Graphic Presentation of Data
- Cartography: Class 11 Geography Notes- Practical Work
- Classification of Map Projection| Class 11 Geography
- Need and Elements of Map Projection| Class 11 Geography
- Types of Maps| Class 11 Geography Notes
- Class 9 RD Sharma Solutions - Chapter 23 Graphical Representation of Statistical Data - Exercise 23.2 | Set 1
- Class 9 RD Sharma Solutions - Chapter 23 Graphical Representation of Statistical Data - Exercise 23.1 | Set 1
- Class 11 Geography Introduction to Maps
- Interpretation of Topographical Maps| Class 11 Geography Notes
- Map Scale| Class 11 Geography Notes
- NCERT Solutions For Class 9 Geography Social Science Chapter 2: Physical Features of India
- Uses of Maps| Class 11 Geography Notes
- Class 8 RD Sharma Solutions - Chapter 24 Data Handling II (Graphical Representation of Data as Histograms) - Exercise 24.1 | Set 1
- NCERT Solutions For Class 10 Geography Chapter 3 : Water Resources
- Essentials of Map Making| Class 11 Geography
- History of Maps| Class 11 Geography
- Characteristics of data in geographical information system (GIS)
Graphical Representation of Data| Practical Work in Geography Class 12
Geography Class 12 Chapter 3 talks about the Graphical Representation of Data. It includes all types of representation processes of data through different types of graphs like line, bar, pie, dot, and isopleth maps. Graphical representation gives us a visual of the raw data which helps us to understand to analyze it through different numeric formations.
In this article, we are going to discuss the Practical Work in Geography Class 12 with the Chapter called Graphical Representation of Data.
Graphical Representation of Data means to analyze the numerical data sources through different types of graphs. It creates a relation between the data set with a diagram. The graphical representation is simple and easy to understand which is a part of the important learning technique. The Graphical Representation process is totally dependent process on data sources.
Let us discuss different types of Graphical Representation of Data as mentioned below.
- Line Graphs: Line graphs are one type of linear graph that examines the continuous data sources to predict the future.
- Histograms: The histograms use the bar formations to represent the data as the frequency of the numerical data sources. Here the intervals are present in an equal manner.
- Bar Graphs: The bar graphs are used to depict the different categories and compare the data by using solid bars of quantities.
- Frequency Table: The frequency table represents the data by following a proper time interval.
- Line Plot: The line plot shows the data in a manner of frequency that is written as a line number.
- Circle Graph: The circle graph is also known as the pie chart. It shows the relationships between the data parts. The circle holds 100 % data by mentioning the data portions in percentages.
- Scatter Plots: The scatter plots depict the data to establish the relationship between two data sets.
- Venn Diagram: The Venn diagram is a process graph where the set is important. The inner part of the circle makes and shows the representation of graphs.
- Stem and Leaf Plots: They are the representation of the least and highest value of a particular data set. The lowest value is known as the leaf and the highest value is the stem.
- Box and Whisker Plot: This is the process of summarizing the data into four different parts. It majorly represents the spread and median of the different data sets.
Rules for Graphical Representation of Data
There are some major rules to make the Graphical Representation of Data as mentioned below.
- Give a Title: Give a suitable title for the graph which presents the subject.
- Scale: The scale needs to be used efficiently in an accurate way.
- Mention the Measurement Units: It is important to mention the measurement units to represent the dataset as a graph in a proper way.
- Index Formation: It is needed to apply the different types of colors, shades, and designs to make the related graph more understanding with more information.
- Data Sources: Include the proper sources of data at the bottom of the graph when it is necessary to make it more authentic.
- Make It Simple: A simple graph is more understandable than a hard one. You need to make it more easy for the readers.
People Also Read:
- Spatial and Geographical data
Graphical Representation of Data- FAQs
What are the 4 different types of graphical representation.
There are four most widely used graphs namely histogram, pie diagram, frequency polygon, and ogive frequency graph.
What is a graphical form of representation?
Graphical Representation is a way of analysing numerical data. It exhibits the relation between data, ideas, information and concepts in a diagram. It is easy to understand and it is one of the most important learning strategies. It always depends on the type of information in a particular domain.
What are the graphical displays of data?
Two common types of graphic displays are bar charts and histograms. Both bar charts and histograms use vertical or horizontal bars to represent the number of data points in each category or interval.
What is a graphical display?
Graphical displays communicate comparisons, relationships, and trends. They emphasize and clarify numbers. To choose the appropriate type of display, first define the purpose of the report, and then identify the most effective display to suit that purpose. For example, you can use a multiline display to show trends.
What is a graphical representation called?
The method of presenting these numerical data is called a chart. There are different kinds of charts such as a pie chart, bar graph, line graph, etc, that help in clearly showcasing the data.
Why are statistical graphs important?
Raw data might contain hidden patterns and relationships that you cannot identify by just looking at the raw data. These will be revealed using a picture. A display of data will help you identify the most significant features of your data.
Please Login to comment...
Similar reads.
- School Geography
- Social Science
IMAGES
VIDEO
COMMENTS
Besides creating images, the geography data presentation tools have many mathematical functions. These include the calculation of cross sectional area for beach profiles and river cross sections, trend lines for scatter graphs and standard deviation for box plots. Simply open the calculator for your chosen technique, enter your data, adjust ...
Data. Quantitative data records quantities (e.g. numbers, sizes, frequencies).. Qualitative data records subjective qualities (e.g. opinions and attitudes).. Discrete data can only take certain values (e.g. whole numbers). Continuous data can take any value (e.g. length, width, time). Justifying your choice of data presentation. Your findings can be presented with a range of graphical and ...
At a time when the study of geography has never been more important, Bridgette is passionate about creating content which supports students in achieving their potential in geography and builds their confidence. Revision notes on 16.1.4 Data Presentation for the Edexcel IGCSE Geography syllabus, written by the Geography experts at Save My Exams.
Skills. Cartographic Skills - Atlas Maps; Cartographic Skills - OS Maps; Compass Directions; Data Presentation in Geography; Evaluating a source in Geography
• Using inappropriate and generic data presentation techniques. Selecting a data presentation technique simply from a drop down menu in a computer-based spreadsheet shows a lack of imagination and there is a danger that a poor selection will result in demonstrating a lack of understanding of the complexity of the data in question. • Using a ...
Check from on 10 methods of data presentation to a better featured. ... Data Presentation in Geography. Next frist, stick to one type of data presentation only. Avoid the temptation of trying various data visualisation methods in a go and make thy date when accessible as possible. #5 - Bombard the audience with too of information ...
ArcGIS Online uses Smart Mapping to make it easier to create maps from your data, this is really useful, but sometimes going beyond the default settings will make your data presentation even better! Before you can map your data, you need to add it as a layer in the ArcGIS Online Map Viewer. If your data is in a spreadsheet (with latitude and ...
In this skills boost, Chloe looks at what we mean by 'appropriate' data presentation and how to optimise this to boost your fieldwork grade. She looks at how to present spatial and qualitative data, and ways of combining these methods to create standout graphics that grab people's attention and most importantly showcase the geography. Presented ...
Edexcel Geography A-Level Fieldwork Section 3 - Data Presentation Essential Notes www.pmt.education. Introduction ... Graphical Data Presentation Methods Bar Charts Barchartsareusefulwhen tracking a change (normallyovertime),orwhen comparing factors acrossdifferentgroups.Thehorizontalaxis(x)usuallycontainsthe independent variable ,which ...
Guide to help you complete and/or draw the various methods of presenting data. These questions can appear across Paper 1, 2 and 4 of the Cambridge Geography ...
Hard to condense data. Photographs Photographs of areas within the investigation that present relevant aspects of the investigation, e.g. litter in a park or destroyed outdoor furniture. Qualitative Photos can represent things more clearly than data, especially environmental aspects. Engaging method of data presentation also (when annotated).
Add all the measurements together then divide by the number of measurements taken. The mean can only be used if the data approximate to a normal distribution, and have an interval or ratio measurement scale. Median. Arrange the data in order, and take the middle value as the median. It can be used for data which are not normally distributed.
Geography is a scientific discipline in which various types of primary and secondary data are used voluminously to explain and analyse different geographical events and phenomena. Collected data are organized, represented and interpreted logically and scientifically using various techniques for better understanding and explanation of the spatial distributions and variations of different ...
4i - A Guide to Nearest Neighbour Analysis. 4j - A Guide to Mann-Whitney U Test. 4k - A Guide to Qualitative Data Analysis. Section 5 - Conclusions. Section 6 - Evaluation. Section 7 - Final checks. Posters - A guide to reading your research landscape. A copy of FAQs from the awarding bodies.
Most U.S citizens would be familiar with this data presentation method in geography. For elections, many news outlets assign a specific colour code to a state, with blue representing one candidate and red representing the other. The shade of either blue or red in each state shows the strength of the overall vote in that state.
Check out our 10 methods of data showcase for a better idea. How to present the data in a way that even the unwitting person in the room cannot verstehen? Verify out our 10 methods of information presentation for a super idea. ... Thou can ending deathly boring both ineffective data presentation rights now through our 10 methods of product how ...
Data presentation methods - Ways of Data Presentation - Image source: BenCollins This is an show of a tabular presentation of intelligence on Google Sheets. Respectively row and column holds an attribute (year, region, revenue, etc.), the she can do adenine customize format to watch the change included revenue throughout the year.
Quoted numerical data and qualitative data rather than only describing the overall trend. Do not leave any gaps in your analysis, e.g. do not ignore anomalies or points that disprove your hypotheses . Comments on the accuracy of your data.
At a time when the study of geography has never been more important, Bridgette is passionate about creating content which supports students in achieving their potential in geography and builds their confidence. Revision notes on 8.1.3 Data Presentation for the AQA GCSE Geography syllabus, written by the Geography experts at Save My Exams.
Advantages of Sketch Maps (1) good memory tool when accompanied with detailed annotations. Disadvantages of Sketch Maps (3) easily exaggerated and distorted, one view at one point in time, not an accurate representation of an area. Advantages of OS Maps (1) Shows static long-term features.
Geography Data Presentation Techniques additionally Methods. Many of the most appropriate types of data presentation processes used to visibility raw geographical data are shown on this page. We making the accessories to make and rescue the images show and that what quick and easy to use, free with no create or log-in required.
Data Presentation Methods This page provides guidance on different types of data presentation. It shows how they can be interpreted and explains their advantages and disadvantages.
Graphical Representation of Data means to analyze the numerical data sources through different types of graphs. It creates a relation between the data set with a diagram. The graphical representation is simple and easy to understand which is a part of the important learning technique. The Graphical Representation process is totally dependent ...
Check out our 10 methodology of data presentation for a better idea. How to present the data in a way that equally the innocent person in the room can understand? Checkout out our 10 methods of data presentation for ampere better idea. ... 10 Methods of Data Presentation with 5 Great Tips to Practice, Best in 2023. Presenting.