The Grammar Of Graphics Linear Digressions podcast

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Data Science Science Data Linear Digress Ben Jaffe and Katie Malone Ben Jaffe Katie Malone Tech Machining Learn

Innhold levert av Ben Jaffe and Katie Malone, Ben Jaffe, and Katie Malone. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Ben Jaffe and Katie Malone, Ben Jaffe, and Katie Malone eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

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The Grammar Of Graphics

4+ y ago 35:38

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Innhold levert av Ben Jaffe and Katie Malone, Ben Jaffe, and Katie Malone. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Ben Jaffe and Katie Malone, Ben Jaffe, and Katie Malone eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

You may not realize it consciously, but beautiful visualizations have rules. The rules are often implict and manifest themselves as expectations about how the data is summarized, presented, and annotated so you can quickly extract the information in the underlying data using just visual cues. It’s a bit abstract but very profound, and these principles underlie the ggplot2 package in R that makes famously beautiful plots with minimal code. This episode covers a paper by Hadley Wickham (author of ggplot2, among other R packages) that unpacks the layered approach to graphics taken in ggplot2, and makes clear the assumptions and structure of many familiar data visualizations.

… continue reading

293 episoder

#Data Science #Science #Data #Linear #Digress #Ben Jaffe and Katie Malone #Ben Jaffe #Katie Malone #Tech #Machining #Learn

Artwork

The Grammar Of Graphics

Linear Digressions

3,115 subscribers

published 4+ y ago

Del

MP3•Episoder hjem

Innhold levert av Ben Jaffe and Katie Malone, Ben Jaffe, and Katie Malone. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Ben Jaffe and Katie Malone, Ben Jaffe, and Katie Malone eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

You may not realize it consciously, but beautiful visualizations have rules. The rules are often implict and manifest themselves as expectations about how the data is summarized, presented, and annotated so you can quickly extract the information in the underlying data using just visual cues. It’s a bit abstract but very profound, and these principles underlie the ggplot2 package in R that makes famously beautiful plots with minimal code. This episode covers a paper by Hadley Wickham (author of ggplot2, among other R packages) that unpacks the layered approach to graphics taken in ggplot2, and makes clear the assumptions and structure of many familiar data visualizations.

… continue reading

293 episoder

#Data Science #Science #Data #Linear #Digress #Ben Jaffe and Katie Malone #Ben Jaffe #Katie Malone #Tech #Machining #Learn

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