Data Visualization_principlesclasss.pptx
- 2. Learning Outcome • Build pixel perfect dashboards that tell stories. • Create INSIGHTS
- 3. Course Content • Introduction to Data Visualization • General Principles and Benefits of Data Visualization
- 4. INTRODUCTION • All businesses are in the data business. This is because we live in a data-abundant world. • However, to understand this data, we need to aggregate the data, find relationships between features/variables in the data, look at trends, build KPIs and do different comparisons. • These analysis are best presented as data visualizations. • To reap these benefits of we need to pay attention to principles of data visualization. • This will ensure a picture is really worth a thousand word and does not require a thousand word to become clear.
- 5. Data Visualization Principles and Benefits This principles is summarized with the DESIGN acronym: 1. Declutter 2. Emphasize 3. Storify 4. Involve 5. Give meaning 6. No distortion Data Visualization Benefits includes: 1. Improved attention 2. Quicker communication 3. Better retention 4. Deeper exploration 5. Sustained motivation 6. Stronger Engagement For more information on visualization: https://www.owox.com/blog/articles/data-visualization/ and https://careerfoundry.com/en/blog/data-analytics/what-is-data-visualization/
- 6. De-clutter : The Art of Visual Clarity Decluttering a chart means eliminating everything that distracts from your data. This includes: • Removing borders • Removing dominant gridlines • Removing unnecessary Details • Having (too many) colors, shades or other decoration effects.
- 7. De-clutter : The Art of Visual Clarity
- 8. Emphasize: Highlighting the Main Message of a Chart This involves two things: • Choosing the right chart that highlights your key insight. • Accentuate the most important element in the chart. To choose the right chart format for your data, ask yourself the following questions. Do you want to: • Enable comparisons? Then choose vertical bars. • Enable a ranking from smallest to largest, then choose horizontal bars. • Show a trend over time? Then use a line chart. • Emphasize deviations from a goal or reference (such as a budget plan). In this case choose upwards and downwards vertical bars. More on charts – Visualization periodic table: https://www.visual-literacy.org/periodic_table/periodic_table.html
- 9. Emphasize: Highlighting the Main Message of a Chart
- 10. Storify: To give data glory, tell it in a three part story. To storify data means to present a chart (or a series thereof) in a way that lets you tell a captivating tale about the numbers that you are showing. This requires splitting your charts into a trilogy: • Setting the scene (an overview chart that clarifies the situation), • Showing the complications (one or several charts to show more details) • Providing a resolution, i.e., charts that show opportunities for action. Storifying your chart also means adding emotion to it – if appropriate – and giving it a distinctive visual style. It means connecting with the audience by making the data relevant to them ("selling before telling")
- 11. Storify: To give data glory, tell it in a three part story.
- 12. Involve: Engaging Data Audiences interactively Make your charts interactive. In an interactive chart, you can engage your audience as seen in the chart below: Engage your audience Letting them select areas of interest Letting them zoom-in to more detail, explore different data aspects Letting them filter out elements Letting them customize the display Letting them connect it to new data
- 13. Give meaning: Eight Ways to make Data relatable (Part 1) 1. Linking data directly to possible actions or responses is one way to make it more meaningful (think bar chart on the left, recommended actions on the right). 2. Giving the chart an action title that expresses its so-what is another one. 3. Adding self-explanatory labels and axes descriptions to a chart helps to make it more meaningful even for hurried viewers. 4. Carefully adding symbols to a chart can help in its interpretation, for example a £, $, or € symbol for line charts with currency comparisons over time.
- 14. Give meaning: Eight Ways to make Data relatable (Part 2) 5. Explaining the reasons behind outliers or other strange data patterns (for example through mouse-over comments) 6. Making data meaningful in a dashboard can be achieved by providing a reference point that shows whether a value is actually good or bad (above/below the target value). 7. You can also give meaning to numbers by showing them in their development over time. 8. Last but not least, you can make any number more relatable by comparing it to a phenomenon that the audience is familiar with, for example by showing that the Amazon has lost more than ten million football fields of forest in a decade.
- 15. No Distortions: What to avoid in Chart Design The no distortion rule applies to how you visualize data as well as which data you visualize. • Compare items or values with the same characteristics • Do not paint an incomplete picture by leaving crucial data out of the chart. • Avoid charts with multiple axes (vertical). • Ensure that the y-axis of your chart starts from zero. • Eliminate all sources of misinterpretation from your data • Transform charts with several lines into several charts