Difference between revisions of "Visualizing your Data"
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Hints and tools to help R and Py programmers visualize data. | Hints and tools to help R and Py programmers visualize data. | ||
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heatmap can be used to see cyclical data such as setting x to month and y to week and the color to target variable. | heatmap can be used to see cyclical data such as setting x to month and y to week and the color to target variable. | ||
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| + | [https://howisfelix.today/? howisfelix.today/?] Flight network map, two topic calendar, smooth with difference time series, sankey?. | ||
==== Tools ==== | ==== Tools ==== | ||
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https://cran.r-project.org/web/packages/ggraptR/vignettes/ggraptR.html interactively design viz or explore your data. | https://cran.r-project.org/web/packages/ggraptR/vignettes/ggraptR.html interactively design viz or explore your data. | ||
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| − | [[Category: | + | [[Category:Data analysis]] |
Latest revision as of 17:48, 28 February 2023
Topic Infobox 
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| Linked pages on this wiki | Tools (0), |
Hints and tools to help R and Py programmers visualize data.
Galleries[edit | edit source]
https://datavizcatalogue.com/index.html Suggests charts based on needs and has a list to peruse.
Examples in Health Tracking.[edit | edit source]
https://old.reddit.com/r/QuantifiedSelf/search/?q=XPOST&include_over_18=on&restrict_sr=on&t=all&sort=top many off reddit/dataisbeautiful
chernoffs faces[1] also violin, heatmap and illustrated success motivates.
heatmap can be used to see cyclical data such as setting x to month and y to week and the color to target variable.
howisfelix.today/? Flight network map, two topic calendar, smooth with difference time series, sankey?.
Tools[edit | edit source]
interactive, specifically for time series https://paulvanderlaken.com/2017/08/10/r-resources-cheatsheets-tutorials-books/#advanced http://rstudio.github.io/dygraphs/ https://daattali.com/shiny/timevis-demo/
https://awesome.cube.dev/ lots of viz tools
Interactive Design[edit | edit source]
https://cran.r-project.org/web/packages/ggraptR/vignettes/ggraptR.html interactively design viz or explore your data.