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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https://annofoneblog.wordpress.com/2021/11/09/finding-patterns-in-my-days-a-visual-exploration-of-my-oura-data%ef%bf%bc/ PCA tree | https://annofoneblog.wordpress.com/2021/11/09/finding-patterns-in-my-days-a-visual-exploration-of-my-oura-data%ef%bf%bc/ PCA tree | ||
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+ | chernoffs faces<ref>[[Exploring and Visualizing Diabetes Data]]</ref> also violin, heatmap and illustrated success motivates. | ||
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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. | ||
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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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Latest revision as of 17:48, 28 February 2023
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Linked pages on this wiki | Tools (1), |
Hints and tools to help R and Py programmers visualize data.
GalleriesEdit
https://datavizcatalogue.com/index.html Suggests charts based on needs and has a list to peruse.
Examples in Health Tracking.Edit
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?.
ToolsEdit
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 DesignEdit
https://cran.r-project.org/web/packages/ggraptR/vignettes/ggraptR.html interactively design viz or explore your data.