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<title>Tidy Tuesday by Arun Koundinya</title>
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  <title>College Majors and AI Exposure</title>
  <dc:creator>Arun Koundinya Parasa</dc:creator>
  <link>https://arunkoundinya.github.io/TidyTuesday/tidy-analysis/20102026/</link>
  <description><![CDATA[ Which college majors are safest from AI, and do they pay? In R: k-means clusters of 453 occupations by AI exposure, a scatter of exposure against salary with spotlight majors circled, and a gt summary table. ]]></description>
  <category>R</category>
  <category>scatter plot</category>
  <category>clustering</category>
  <category>table</category>
  <guid>https://arunkoundinya.github.io/TidyTuesday/tidy-analysis/20102026/</guid>
  <pubDate>Mon, 26 Oct 2026 04:00:00 GMT</pubDate>
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  <title>Monster Movies</title>
  <dc:creator>Arun Koundinya Parasa</dc:creator>
  <link>https://arunkoundinya.github.io/TidyTuesday/tidy-analysis/29102024/</link>
  <description><![CDATA[ Monster and horror movies from IMDb in R: a dual-axis chart of films and ratings, the rise of well-rated horror, and which sub-genre mixes work with audiences. ]]></description>
  <category>R</category>
  <category>dual axis</category>
  <category>bar chart</category>
  <guid>https://arunkoundinya.github.io/TidyTuesday/tidy-analysis/29102024/</guid>
  <pubDate>Thu, 31 Oct 2024 04:00:00 GMT</pubDate>
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  <category>dashboard</category>
  <category>maps</category>
  <guid>https://arunkoundinya.github.io/TidyTuesday/tidy-analysis/14112023/</guid>
  <pubDate>Sat, 21 Sep 2024 04:00:00 GMT</pubDate>
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<item>
  <title>Crimes Against Women in India</title>
  <dc:creator>Arun Koundinya Parasa</dc:creator>
  <link>https://arunkoundinya.github.io/TidyTuesday/tidy-analysis/22072024/</link>
  <description><![CDATA[ Crimes against women in India in R: category trends, state choropleth maps of absolute and per-capita cases over the years, and correlations across crime types. ]]></description>
  <category>R</category>
  <category>maps</category>
  <category>bonus</category>
  <guid>https://arunkoundinya.github.io/TidyTuesday/tidy-analysis/22072024/</guid>
  <pubDate>Mon, 22 Jul 2024 04:00:00 GMT</pubDate>
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  <title>Carbon Majors Emissions</title>
  <dc:creator>Arun Koundinya Parasa</dc:creator>
  <link>https://arunkoundinya.github.io/TidyTuesday/tidy-analysis/21052024/</link>
  <description><![CDATA[ Carbon Majors emissions data in R: stacked area charts with a custom background and an inset pie, showing CO₂ emissions by commodity and by entity type. ]]></description>
  <category>R</category>
  <category>area chart</category>
  <category>custom background</category>
  <guid>https://arunkoundinya.github.io/TidyTuesday/tidy-analysis/21052024/</guid>
  <pubDate>Sat, 08 Jun 2024 04:00:00 GMT</pubDate>
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<item>
  <title>Objects Launched into Space</title>
  <dc:creator>Arun Koundinya Parasa</dc:creator>
  <link>https://arunkoundinya.github.io/TidyTuesday/tidy-analysis/23042024/</link>
  <description><![CDATA[ Objects launched into space, 1957–2023, in R: annotated line charts by entity and country and a gganimate racing bar chart of the top launchers. ]]></description>
  <category>R</category>
  <category>animation</category>
  <category>line chart</category>
  <guid>https://arunkoundinya.github.io/TidyTuesday/tidy-analysis/23042024/</guid>
  <pubDate>Wed, 08 May 2024 04:00:00 GMT</pubDate>
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<item>
  <title>Du Bois Challenge</title>
  <dc:creator>Arun Koundinya Parasa</dc:creator>
  <link>https://arunkoundinya.github.io/TidyTuesday/tidy-analysis/02042024/</link>
  <description><![CDATA[ A ggplot2 recreation of plate 37 from W.E.B. Du Bois’s data portraits for the 1900 Paris Exposition, for the 2024 Du Bois Visualization Challenge on TidyTuesday. ]]></description>
  <category>R</category>
  <category>recreation</category>
  <category>pie chart</category>
  <guid>https://arunkoundinya.github.io/TidyTuesday/tidy-analysis/02042024/</guid>
  <pubDate>Fri, 05 Apr 2024 04:00:00 GMT</pubDate>
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  <title>Fiscal Sponsors</title>
  <dc:creator>Arun Koundinya Parasa</dc:creator>
  <link>https://arunkoundinya.github.io/TidyTuesday/tidy-analysis/12032024/</link>
  <description><![CDATA[ Fiscal sponsorship directory in Python: sponsorship age against number of projects, and annotated histograms of projects per sponsor and sponsorship fees. ]]></description>
  <category>Python</category>
  <category>scatter plot</category>
  <category>histogram</category>
  <guid>https://arunkoundinya.github.io/TidyTuesday/tidy-analysis/12032024/</guid>
  <pubDate>Thu, 21 Mar 2024 04:00:00 GMT</pubDate>
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  <title>Trash Wheel Collection</title>
  <dc:creator>Arun Koundinya Parasa</dc:creator>
  <link>https://arunkoundinya.github.io/TidyTuesday/tidy-analysis/05032024/</link>
  <description><![CDATA[ Mr. Trash Wheel and friends in Python: trash weight and volume over the years, homes powered by the collected trash, trends by item, and a correlation heat map. ]]></description>
  <category>Python</category>
  <category>line chart</category>
  <category>heat map</category>
  <guid>https://arunkoundinya.github.io/TidyTuesday/tidy-analysis/05032024/</guid>
  <pubDate>Fri, 08 Mar 2024 05:00:00 GMT</pubDate>
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  <title>R Consortium ISC Grants</title>
  <dc:creator>Arun Koundinya Parasa</dc:creator>
  <link>https://arunkoundinya.github.io/TidyTuesday/tidy-analysis/20022024/</link>
  <description><![CDATA[ R Consortium ISC grants in Python: spaCy keyword extraction, k-means clustering, segment and scatter plots, and a word cloud for each cluster of funded projects. ]]></description>
  <category>Python</category>
  <category>clustering</category>
  <category>word cloud</category>
  <guid>https://arunkoundinya.github.io/TidyTuesday/tidy-analysis/20022024/</guid>
  <pubDate>Sat, 24 Feb 2024 05:00:00 GMT</pubDate>
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  <title>Valentine’s Day Consumer Data</title>
  <dc:creator>Arun Koundinya Parasa</dc:creator>
  <link>https://arunkoundinya.github.io/TidyTuesday/tidy-analysis/13022024/</link>
  <description><![CDATA[ Ten years of US Valentine’s Day survey data in Python: how spending changes with age, which gift categories are growing, and how men and women differ. ]]></description>
  <category>Python</category>
  <category>column chart</category>
  <category>line chart</category>
  <guid>https://arunkoundinya.github.io/TidyTuesday/tidy-analysis/13022024/</guid>
  <pubDate>Fri, 16 Feb 2024 05:00:00 GMT</pubDate>
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  <title>Groundhog Predictions</title>
  <dc:creator>Arun Koundinya Parasa</dc:creator>
  <link>https://arunkoundinya.github.io/TidyTuesday/tidy-analysis/30012024/</link>
  <description><![CDATA[ Groundhog Day predictions in Python: density, line and bar charts of how often groundhogs see their shadow, year on year and groundhog by groundhog. ]]></description>
  <category>Python</category>
  <category>density plot</category>
  <category>line chart</category>
  <guid>https://arunkoundinya.github.io/TidyTuesday/tidy-analysis/30012024/</guid>
  <pubDate>Wed, 31 Jan 2024 05:00:00 GMT</pubDate>
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  <title>US Polling Places</title>
  <dc:creator>Arun Koundinya Parasa</dc:creator>
  <link>https://arunkoundinya.github.io/TidyTuesday/tidy-analysis/16012024/</link>
  <description><![CDATA[ A first TidyTuesday chart in Python: counting US polling places per election year from the 2012–2020 polling-places dataset with pandas, dfply and plotnine. ]]></description>
  <category>Python</category>
  <category>line chart</category>
  <guid>https://arunkoundinya.github.io/TidyTuesday/tidy-analysis/16012024/</guid>
  <pubDate>Thu, 18 Jan 2024 05:00:00 GMT</pubDate>
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