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DATA VISUALIZATION
The document discusses the importance and effectiveness of data visualization in conveying information through various types of charts and graphs. It outlines steps for creating impactful visualizations, such as identifying key messages, selecting appropriate chart types, and using design principles effectively. Additional resources and examples of successful data visualizations are also provided for reference.
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DATA VISUALIZATION
- 1. Data Visualization -AR5212 - DIAGRAMMATICTHINKINGANDREPRESENTATION By Aabhika Samantaray 2020701001
- 2. Raw Data What isDataVisualization? Why your audience loves data visualization? Graphs, Charts, Images and even videos A visual summary of information makes it easier to identify patterns and trends than looking through thousands of rows on a spreadsheet. Processing Human can distinguish difference in line, length, shape, orientation and colour{hue} readily without processing effort.
- 4. Major Types ofData Visualization. Area Chart Bar Chart Polar Area Chart Line Chart StreamGraph Tree Map Matrix Chart Bubble Cloud Spie Chart Pie Chart Column Chart Stacked Column Chart Dual Axis Chart
- 5. ScatterDot Heat Map CartogramDot Distribution Map Timeline Word Cloud Funnel Chart Pictorial Fraction Chart PictogramChart Isoline Map
- 6. How to useData Visualization to win over your audience? Raw Data STEP 1 : Identify messagesof the visualization,and generatethe mostinformative indicator. Consider a different hypothetical dataset of publication details of a particular institution shown in the Table. STEP 2 : Choosethe right charttype. STEP 3: Use color,size, scale,shapesand labels to direct attentionto the key messages. We can plot the relative activity index in a radar plot for comparison, with the attention focused on the subjects We represent the volume of articles published by the area of pie slices and the relative activity index by the radius length. We can guide our readers by including the reference value of 1.0 (represented by red dotted circle). Spie chart with the color of the pie slices indicating article volume (light=high volume).
- 7. ADDITIONAL TIPS FORBETTER DATA VISUALIZATION. • Don’t over explain. • Don’t use distracting fonts or elements. • Make sure there is sufficient contrast between colors. • Avoid patterns. • Order data intuitively. • Craft a strong story. • Apply design fundamentals. • Don’t over label. Parabolic labelling
- 8. DATA VISUALIZATION FAILS https://www.designyourway.net/blog/i nspiration/when-infographics-go-bad- or-how-not-to-design-data- visualization/ HowNot To Design Data Visualization He’s 243% Baby Boomer
- 9. SOME OF THEBEST DATA STORYTELLINGS TO LOOK AT BEFORE YOU START WORKING. Visualization by: Florence Nightingale Carbon Tax, a data visualization for Scientific American.
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- 11. A view ondespair by Sonja Kuijpers This landscape, each element in it represents a person who committed suicide in the Netherlands in the year 2017. hanging (strangulation) taking drugs/alcohol/ medicines in front of train or metro drowning jumping from height other method unknown method
- 13. BONUS SLIDE. Collection ofgood data visualization websites- https://visme.co/blog/b est-data-visualizations/ 25 Best Data Visualizations of 2020 https://www.cyfe.com/ blog/best-data- visualizations-of-2020/ THE 20 BEST DATA VISUALIZATIONS OF 2020 http://www.studioterp.nl/a-view-on- despair-a-datavisualization-project- by-studio-terp/ A view on despair https://www.tableau.com/learn/a rticles/best-beautiful-data- visualization-examples 10 of the best data visualization examples from history to today (Most recommended) https://towardsdatascienc e.com/my-top-10-most- fascinating-data- visualizations-from-2020- 22a91b23e981 Ten of the Best Data Visualizations Created In 2020