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Visualizing data makes information accessible. But creating graphs still requires a lot of careful decisions. Good type and style choices lead to effective visualizations that are simple, truthful, and easily digestible. And it’s what it takes to help readers understand the “so what?” of data!
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Chapters:
0:00 – Introduction
0:56 – Types of Graphs
5:13 – How to Create Graphs
6:44 – Understanding Graphs
9:03 – Spotting Deception in Graphs
10:43 – Conclusion
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SOURCES:
https://www.nytimes.com/2023/03/30/learning/whats-going-on-in-this-graph-april-5-2023.html
https://www.nei.nih.gov/learn-about-eye-health/eye-conditions-and-diseases/color-blindness
https://userway.org/contrast/
https://www.iguanafoundation.org/what-we-support/green-iguanas/lesser-antillean-iguana/
https://www.mathsisfun.com/definitions/axes.html
https://edu.gcfglobal.org/en/statistics-basic-concepts/bar-charts/1/
https://www.statisticshowto.com/probability-and-statistics/descriptive-statistics/pie-chart/
https://www.health.state.mn.us/communities/practice/resources/phqitoolbox/scatterplot.html
https://study.com/learn/lesson/trend-line-formula-examples.html
https://study.com/academy/lesson/what-is-a-line-graph-definition-examples.htm
https://support.microsoft.com/en-us/office/show-or-hide-gridlines-on-a-worksheet-3ef5aacb-4539-4ad5-9945-5ed53772dc4d
https://www.trailsunblazed.com/the-mona-lisa-is-small/
https://news.artnet.com/art-world-archives/5-women-artists-renaissance-2388731
https://scc.ms.unimelb.edu.au/resources/data-visualisation-and-exploration/no_pie-charts
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