Difference between revisions of "Lesson 2"
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| − | =Core Readings= | + | =Readings= |
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| + | ==Core Readings== | ||
| + | * [http://dataremixed.com/2012/05/data-visualization-clarity-or-aesthetics/ Data Visualization: Clarity or Aesthetics?] | ||
| + | * [http://dataremixed.com/2012/05/clarity-or-aesthetics-part-2-a-tale-of-four-quadrants/ Clarity or Aesthetics? Part 2 – A Tale of Four Quadrants] | ||
| + | * [http://dataremixed.com/2012/06/clarity-or-aesthetics-part-3-tips-for-achieving-both/ Clarity or Aesthetics? Part 3 – Tips for Achieving Both] | ||
| + | * [http://junkcharts.typepad.com/junk_charts/junk-charts-trifecta-checkup-the-definitive-guide.html Junk Charts Trifecta Checkup: The Definitive Guide] | ||
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| + | ==Optional Readings== | ||
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* [http://flowingdata.com/2010/07/22/7-basic-rules-for-making-charts-and-graphs/ 7 Basic Rules for Making Charts and Graphs] | * [http://flowingdata.com/2010/07/22/7-basic-rules-for-making-charts-and-graphs/ 7 Basic Rules for Making Charts and Graphs] | ||
| + | * [http://www.perceptualedge.com/articles/visual_business_intelligence/quantitative_literacy_across_curriculum.pdf Quantitative Literacy Across the Curriculum] | ||
| + | * [http://www.perceptualedge.com/articles/ie/visual_perception.pdf Tapping the Power of Visual Perception] | ||
| + | * [http://www.perceptualedge.com/articles/visual_business_intelligence/sometimes_we_must_raise_our_voices.pdf Sometimes We Must Raise Our Voices] | ||
| + | * [http://www.perceptualedge.com/articles/b-eye/quantitative_data.pdf Best Practices for Understanding Quantitative Data] | ||
| + | * [http://www.perceptualedge.com/articles/b-eye/encoding_values_in_graph.pdf Data Visualization: Rules for Encoding Values in Graph] | ||
| + | * [http://www.perceptualedge.com/articles/b-eye/choosing_colors.pdf Choosing Colors for Data Visualization] | ||
| + | * [http://www.perceptualedge.com/articles/visual_business_intelligence/line_graphs_and_irregular_intervals.pdf Line Graphs and Irregular Intervals: An Incompatible Partnership] | ||
| + | |||
| + | =Learning from Examples= | ||
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| + | * [http://www.thefunctionalart.com/2019/03/when-your-own-data-contradicts-your.html When your own data contradicts your headline] | ||
| + | * [https://medium.economist.com/mistakes-weve-drawn-a-few-8cdd8a42d368 Mistakes, we’ve drawn a few] | ||
| + | * [https://www.tableau.com/sites/default/files/whitepapers/three_steps_to_make_your_data_clearer_the_gi_tableau_guide.pdf Three Steps to Make Your Data Clearer] | ||
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| + | =All About Tableau= | ||
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| + | ==White Paper== | ||
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| + | * [https://www.tableau.com/sites/default/files/whitepapers/which_chart_or_graph_v2.pdf Which chart or graphis right for you?] | ||
| + | * [https://www.tableau.com/sites/default/files/whitepapers/goodenoughtogreat.pdf Good Enough to Great: A Quick Guide for Better Data Visualizations] | ||
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| + | ==Tutorial== | ||
| + | * [https://www.tableau.com/learn/tutorials/on-demand/formatting Formatting] | ||
| − | + | * [https://www.tableau.com/learn/tutorials/on-demand/formatting-pane The Formatting Pane] | |
| − | * | + | * [https://www.tableau.com/learn/tutorials/on-demand/getting-started-dashboards-and-stories Getting Started with Dashboards and Stories] |
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| + | * [https://www.tableau.com/learn/tutorials/on-demand/getting-started-calculations Getting Started with Calculation] | ||
| − | + | * [https://www.tableau.com/learn/tutorials/on-demand/calculation-syntax Calculation Syntax] | |
| + | |||
| + | * [https://www.tableau.com/learn/tutorials/on-demand/introduction-lod-expressions Introduction to LOD Expressions] | ||
| − | * [https://www.tableau.com/learn/tutorials/on-demand/ | + | * [https://www.tableau.com/learn/tutorials/on-demand/intro-table-calculations Intro to Table Calculations] |
| − | * [https://www.tableau.com/learn/tutorials/on-demand/ | + | * [https://www.tableau.com/learn/tutorials/on-demand/modifying-table-calculations Modifying Table Calculations] |
| − | * [https://www.tableau.com/learn/tutorials/on-demand/ | + | * [https://www.tableau.com/learn/tutorials/on-demand/aggregate-calculations Aggregate Calculations] |
| − | * [https://www.tableau.com/learn/tutorials/on-demand/ | + | * [https://www.tableau.com/learn/tutorials/on-demand/date-calculations Date Calculations] |
| − | * [https://www.tableau.com/learn/tutorials/on-demand/ | + | * [https://www.tableau.com/learn/tutorials/on-demand/logic-calculations Logic Calculation] |
| − | * [https://www.tableau.com/learn/tutorials/on-demand/ | + | * [https://www.tableau.com/learn/tutorials/on-demand/string-calculations String Calculation] |
| − | * [https://www.tableau.com/learn/tutorials/on-demand/ | + | * [https://www.tableau.com/learn/tutorials/on-demand/number-calculations Number Calculation] |
| − | * [https://www.tableau.com/learn/tutorials/on-demand/ | + | * [https://www.tableau.com/learn/tutorials/on-demand/type-calculations Type Calculation] |
| − | * [https://www.tableau.com/learn/tutorials/on-demand/ | + | * [https://www.tableau.com/learn/tutorials/on-demand/conceptual-topics-lod-expressions Conceptual Topics with LOD Expressions] |
| − | * [https://www.tableau.com/learn/tutorials/on-demand/ | + | * [https://www.tableau.com/learn/tutorials/on-demand/aggregation-and-replication-lod-expressions Aggregation and Replication with LOD Expressions] |
| − | * [https://www.tableau.com/learn/tutorials/on-demand/ | + | * [https://www.tableau.com/learn/tutorials/on-demand/nested-lod-expressions Nested LOD Expressions] |
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| − | + | =Visual Analytics Method(s) of the Week= | |
| − | * [https://www. | + | ==Trellis Display== |
| + | * [https://www-jstor-org.libproxy.smu.edu.sg/stable/1390777?seq=1#metadata_info_tab_contents The Visual Design and Control of Trellis Display] | ||
| + | * [https://onlinelibrary-wiley-com.libproxy.smu.edu.sg/doi/full/10.1002/wics.121 Trellis display] | ||
| + | * [https://www.researchgate.net/publication/2671674_Trellis_Displays_vs_Interactive_Graphics Trellis Displays vs. Interactive Graphics] | ||
| − | * [https:// | + | ==Violin Plots== |
| + | * [https://en.wikipedia.org/wiki/Violin_plot Violin Plot-wikipedia] | ||
| + | * [https://search.proquest.com/openview/dcd68eb137d2d6b08aa23f37e34e0b01/1?pq-origsite=gscholar Hintze, Jerry L.; Nelson, Ray D. (1998). "Violin Plots: A Box Plot-Density Trace Synergism". The American Statistician. 52 (2): 181–4] | ||
| − | * [https:// | + | ==Notched Box Plots== |
| + | * [https://sites.google.com/site/davidsstatistics/home/notched-box-plots Notched Box Plots] | ||
| − | * [https:// | + | ==Dot Plots== |
| + | * [https://search-proquest-com.libproxy.smu.edu.sg/docview/228429978?rfr_id=info%3Axri%2Fsid%3Aprimo Dot plots] | ||
| + | * [http://www.b-eye-network.com/view/2468 Dot Plots: A Useful Alternative to Bar Charts] | ||
| − | * [https://www. | + | ==Funnel Plots== |
| + | * [https://www.perceptualedge.com/articles/visual_business_intelligence/variation_and_its_discontents.pdf Variation and Its Discontents: Funnel Plots for Fair Comparisons] | ||
| + | * [https://understandinguncertainty.org/fertility What are the chances of successful fertility treatment?] | ||
| + | * [https://understandinguncertainty.org/three-fold-variation-uk-bowel-cancer-death-rates Three-fold variation in UK bowel cancer death rates (?)} | ||
| + | * [https://pophealthmetrics.biomedcentral.com/articles/10.1186/1478-7954-9-58 Using funnel plots in public health surveillance] | ||
| + | * [https://community.jmp.com/t5/JMP-Blog/Graph-Makeover-Where-same-sex-couples-live-in-the-US/ba-p/30616 Graph Makeover: Where same-sex couples live in the US] | ||
| + | * [https://pdfs.semanticscholar.org/516b/afaccbd9b9bf82c9afdf507121f1a52e3093.pdf Using maps and funnel plots to explore variation in place of death from cancer within London, 2002–2007] | ||
| − | * [https://www. | + | =Age-sex Pyramid] |
| + | * [https://en.wikipedia.org/wiki/Population_pyramid Population pyramid] | ||
| + | * [https://www.thoughtco.com/age-sex-pyramids-and-population-pyramids-1435272 Age-Sex and Population Pyramids: The Most Useful Graphs in Population Geography] | ||
| + | * {https://www.populationpyramid.net/singapore/2017/ Population Pyramid Singapore] | ||
Revision as of 05:58, 20 August 2019
IS428 Visual Analytics for Business Intelligence
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Contents
Readings
Core Readings
- Data Visualization: Clarity or Aesthetics?
- Clarity or Aesthetics? Part 2 – A Tale of Four Quadrants
- Clarity or Aesthetics? Part 3 – Tips for Achieving Both
- Junk Charts Trifecta Checkup: The Definitive Guide
Optional Readings
- 7 Basic Rules for Making Charts and Graphs
- Quantitative Literacy Across the Curriculum
- Tapping the Power of Visual Perception
- Sometimes We Must Raise Our Voices
- Best Practices for Understanding Quantitative Data
- Data Visualization: Rules for Encoding Values in Graph
- Choosing Colors for Data Visualization
- Line Graphs and Irregular Intervals: An Incompatible Partnership
Learning from Examples
- When your own data contradicts your headline
- Mistakes, we’ve drawn a few
- Three Steps to Make Your Data Clearer
All About Tableau
White Paper
- Which chart or graphis right for you?
- Good Enough to Great: A Quick Guide for Better Data Visualizations
Tutorial
Visual Analytics Method(s) of the Week
Trellis Display
- The Visual Design and Control of Trellis Display
- Trellis display
- Trellis Displays vs. Interactive Graphics
Violin Plots
- Violin Plot-wikipedia
- Hintze, Jerry L.; Nelson, Ray D. (1998). "Violin Plots: A Box Plot-Density Trace Synergism". The American Statistician. 52 (2): 181–4
Notched Box Plots
Dot Plots
Funnel Plots
- Variation and Its Discontents: Funnel Plots for Fair Comparisons
- What are the chances of successful fertility treatment?
- [https://understandinguncertainty.org/three-fold-variation-uk-bowel-cancer-death-rates Three-fold variation in UK bowel cancer death rates (?)}
- Using funnel plots in public health surveillance
- Graph Makeover: Where same-sex couples live in the US
- Using maps and funnel plots to explore variation in place of death from cancer within London, 2002–2007
=Age-sex Pyramid]
