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Visualizing Data and Communicating Information Larry Jerome: Data Architect KIPP DC

Visualizing Data and Communicating Information Larry Jerome: Data Architect KIPP DC. Introductions. Name Organization/Role Most commonly used platform (e.g. excel, R, Tableau, Qlik, etc. ) What are you currently working on or what’s currently challenging you?. What is data visualization?.

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Visualizing Data and Communicating Information Larry Jerome: Data Architect KIPP DC

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  1. Visualizing Data and Communicating Information Larry Jerome: Data Architect KIPP DC

  2. Introductions • Name • Organization/Role • Most commonly used platform (e.g. excel, R, Tableau, Qlik, etc. ) • What are you currently working on or what’s currently challenging you?

  3. What is data visualization?

  4. What is data visualization? A primary goal of data visualization is to communicate information clearly and efficiently to users via graphics, plots, information graphics, tables, and charts Source: Wikipedia; Jen Underwood: Business Intelligence and Predictive Analytics, April 10, 2013

  5. What is data visualization? Two basic types of visualization Source: Wikipedia; Jen Underwood: Business Intelligence and Predictive Analytics, April 10, 2013

  6. Why We Visualize

  7. Why We Visualize

  8. Process Of Developing Visualizations

  9. Identifying Your Purpose What questions do you need to answer? • Who is your audience? • What questions do they have? • What action will be taken? Source: Rebecca Vichniac: KIPP Data Summit, June 2014

  10. Identifying Your Purpose: Who is your audience • Role: what decisions do they make? What questions do they need answered? • Work flow: in what context will it be used? What information is needed regularly? How much time do they have? • Comfort and skills: how sophisticated are they with using the data? Do they enjoy digging into the numbers? • Business and data expertise: How familiar are they with the metrics? Do they understand where the data comes from? Are they familiar with the organization and terminology? Source: Rebecca Vichniac: KIPP Data Summit, June 2014

  11. Activity 1: Identifying Your Purpose

  12. Choosing The Right Metrics

  13. Choosing The Right Metrics: What Is A Metric?

  14. Choosing The Right Metrics: What Is A Metric?

  15. Choosing the right metric The Perfect Metric • Align to organizational mission or strategy • Identify specific, quantifiable outputs/outcomes • Establish targets against which results can be evaluated Actionable

  16. Choosing The Right Metric: Evaluating Metrics Source: Rebecca Vichniac: KIPP Data Summit, June 2014

  17. Activity 2: Quantify It

  18. Choosing The Right Chart Type

  19. http://goo.gl/r0tNYN Choosing The Right Chart Type

  20. Choosing The Right Chart Type: Comparison • Among Items • Over Time

  21. Choosing The Right Chart Type: Distribution • Single Variable • Two (or more) Variables

  22. Choosing The Right Chart Type: Composition Changing over time • Static

  23. Choosing the right chart type: Relationship Comparison of two or more sets of values

  24. Enhancing Visualizations

  25. Enhancing Visualizations

  26. Enhancing Visualizations

  27. Enhancing Visualizations Use Complimentary Colors for Comparisons

  28. Enhancing Visualizations Identify Groups of Attributes Use fewer than 6 colors

  29. Enhancing Visualizations Highlight Metric Patterns Less saturation: small values More saturation: larger values

  30. Enhancing Visualizations: Color Saturation Add Size to Emphasize Metric Trends

  31. Enhancing Visualizations

  32. Enhancing Visualizations

  33. Enhancing Visualizations

  34. Enhancing Visualizations

  35. Activity 3: Visualize It

  36. Best in Data Visualization Larry.Jerome@kippdc.org @larryfredjerry • Dadaviz.com • https://public.tableau.com/s/gallery • http://www.tableau.com/learn/whitepapers • http://www.perceptualedge.com/blog/ • http://www.edwardtufte.com/bboard/q-and-a • Fivethirtyeight.com • Qz.com • Vox.com • NYT Upshot

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