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![2 numerical variables - Scatter plot
Between pair of variables - Scatter plot matrix
Bubble chart – 2 numeric variables & up to three categorical variables
[presented by aesthetics of chart]
Box plot – 1 numerical variable/ 1 numeric and upto 2 categorical
variables [ using trellies/ faceting]
Line chart/Area chart – usually time series data
Herarchical data - Treemap/decision tree](https://image.slidesharecdn.com/datavizstorytelling1-200718033237/75/Data-visualization-Story-Telling-with-Data-29-2048.jpg)
Uploaded byDr Nisha Arora
Data visualization & Story Telling with Data
The document discusses the importance of storytelling in data visualization, emphasizing how effective visuals can communicate complex insights and business impacts. It outlines best practices for visual displays, including the choice of chart types based on data variables and the need for clarity and audience awareness. Additionally, it critiques misleading visuals and emphasizes the creation of impactful data narratives.
In this document
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Introduction to the fable 'Thirsty Crow' and its lessons.
Presented by Dr. Nisha Arora focusing on visuals, text, and numbers.
Discussion on the factors contributing to the first-time decrease in sales.
Explains the concept and significance of the Abandoned Cart Rate.
Emphasizes the importance of storytelling in conveying complex insights and their business impacts.
Encourages discussing insights gained from the data and checking for inconsistencies.
Key components needed for creating impactful data stories, including audience understanding.
Guidelines for selecting the appropriate visual representation for different data types. Detailed overview of various chart types suitable for different variables and data relationships.
Discusses the issues of misleading visuals due to non-zero baselines and the need for interactivity.
Advice on improving visuals by removing unnecessary elements and organizing data properly.
Encouragement for sharing insights and the role aesthetics play in effective data storytelling.
Discussion on how to improve poorly designed visuals and their impact on the audience.
A list of resources, books, and authors related to data visualization and storytelling.
Closing remarks and gratitude for the audience.
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Data visualization & Story Telling with Data
- 1. Thirsty Crow What didyou learn?
- 2. Presented by: DR. NISHAARORA Using Visuals, Text or Numbers
- 8.
- 9. Credit: Nick Mennon Whyhave sales decreased for the first time?
- 10. Credit: Nick Mennon Whyhave sales decreased for the first time?
- 11. Credit: Nick Mennon Whatis the Abandaoned Cart Rate?
- 12. Credit: Nick Mennon Twistin the story
- 13. Credit: Nick Mennon Impacton sales
- 14. “Storytelling is neededwhen the insights are hard or challenging to understand, when the business impact is high.” When do you need storytelling?
- 15. What insight didyou get? Credit: Avinash Kaushik
- 16. What else canwe do? Does it help?
- 17. Is it betternow? Did you see any issue?
- 18. Isn’t it abetter story to tell?
- 19. What makes agreat data story? Source : knowledge is beautiful
- 20. 1. Understand thecontext 2. Choose an appropriate visual display 3. Eliminate clutter 4. Focus attention where you want it 5. Think like a designer 6. Tell a story
- 21. Exploratory orExplanatory Who is your audience? What do you need them to know or do?
- 22. Credit: Cole Know youraudience
- 26. When you’ve choice SelectingThe Appropriate Visual
- 27. Selecting The AppropriateVisual William Cleveland When you’ve choice
- 28. 1 categorical variable- Pie chart/ Bar Chart 2 categorical variables - Stacked bar chart/ grouped bar chart 1 numerical variable/ multiple numerical variables – Histograms/ Box plot 1 numerical variable/ multiple numeric variables - Frequency curve
- 29. 2 numerical variables- Scatter plot Between pair of variables - Scatter plot matrix Bubble chart – 2 numeric variables & up to three categorical variables [presented by aesthetics of chart] Box plot – 1 numerical variable/ 1 numeric and upto 2 categorical variables [ using trellies/ faceting] Line chart/Area chart – usually time series data Herarchical data - Treemap/decision tree
- 30. Comparison BarCharts, column chart, line chart, area chart Composition Pie chart/donut charts, stacked column charts, stacked area charts, waterfall chart
- 31. Distribution Histogram(onevariable-few data points), frequency curve(one variable-many data points), surface curve/3-d area chart(3 variables) Relationship Scatter plots, Bubble chart, correlogram/scatter plot matrix
- 32.
- 33.
- 34. Can you readthis?
- 36. Is it misleading? Theuse of non-zero baseline 460 % increase
- 37. Is it misleading? 13% increase The use of non-zero baseline
- 38. Is it misleading? Theuse of non- zero baseline
- 39.
- 40.
- 41. Can you imaginethe impact?
- 42. Even the titleis incorrect!
- 43. Do you needinteractivity medium
- 44. Do you needinertactivity?
- 45. Cognitive Load Data-Ink ratio/Signal-Noise Ratio Gestalt principles of visual perception
- 46.
- 47.
- 48. Which one isbetter?
- 49. Effective Visuals _Remove to Improve
- 50. Effective Visuals _Remove to Improve
- 51. Effective Visuals _Remove to Improve
- 52. Effective Visuals _Remove to Improve
- 53. Effective Visuals _Order matters
- 54. Can you findthe odd one out?
- 55. Can you findthe odd one out?
- 56. Can you findthe odd one out?
- 59. Can you findthe odd one out?
- 61. Design concern fora vehicle model What insight did you get in a glance?
- 62.
- 63. How to doread it now?
- 64. How does ithelp in creating a better data story?
- 65.
- 66. Text is yourfriend Credit: David McCandless
- 67.
- 68.
- 69. Credit: Cole Chart type,Focus, & Design
- 70. Credit: Cole Chart type,Focus, & Design
- 71. Credit: Evelina What doyou think about this?
- 72.
- 73. Bad Data Visuals Howcan you improve this?
- 74. What message didyou get?
- 75. Credit: Cole Is thisstory creating an impact?
- 76. Which one isbetter?
- 77.
- 78. Do you needmore like that? https://www.washingtonpost.com/graphics /politics/2016-election/trump-charts/
- 79. Charts Do’s& Don’ts https://guides.library.duke.edu/datavis/topten Tufte Principle https://thedoublethink.com/tuftes-principles-for-visualizing- quantitative-information/ Junk Charts http://shar.es/CWUiu
- 80. https://www.visualisingdata.com/ https://flowingdata.com/ http://www.storytellingwithdata.com/ https://informationisbeautiful.net/ https://iquantny.tumblr.com/ https://medium.com/nightingale/topics-in-data-viz/home https://www.darkhorseanalytics.com/blog
- 81. CN Knaflic:Storytelling with data: a data visualization guide for business professionals Duarte, Nancy. Resonate: Present Visual Stories that Transform Audiences. Hoboken, NJ: John Wiley & Sons, 2010. Few, Stephen. Show Me the Numbers: Designing Tables and Graphs to Enlighten. Oakland, CA: Analytics Press, 2004. Yau, Nathan. Data Points: Visualization that Means Something. Indianapolis, IN: John Wiley & Sons, 2013 Arheim, Rudolf. Visual Thinking. Berkeley, CA: University of California Press, 2004.
- 82. Cole NKnief Ben Wellington Nathan Yau Andy Krik Kaiser Fung David McCandless
- 83.
- 84. Some of thecharts shown in the presentation are not mine. I’ve taken those from some books/web resources.
- 85.