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My #TidyTuesday Contributions

3 min readJul 6, 2019

“Tidy Tuesday is a weekly social data project in R. Every week Thomas Mock; https://twitter.com/thomas_mock and the R for Data Science Community; https://twitter.com/R4DScommunity post a new dataset and ask R users to explore it and share their findings on Twitter with #TidyTuesday. Since the first dataset was posted on April 2nd, 2018, there are now over 40 datasets and more than 800 #TidyTuesday tweets from 221 users!” — https://nsgrantham.com/tidytuesdayrocks/

From the moment I discovered #TidyTuesday, I have never looked back.

Below are my plots so far; (The plots are all coded in R. I work mostly in R due to its huge number of libraries and emphasis on reproducible analysis. I am constantly learning new skills such as Shiny and tooling in my spare time.)

  1. Wine Ratings
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2. Ramen Ratings

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3. Meteorite Impacts

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4. Christmas Bird Counts

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5. Global UFO Sightings

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6. Media Franchise

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7. Women’s World Cup Results

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8. FAA Wildlife Strike Report

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9. Video Games Data

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10. Roman Emperors!

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11. Animal Crossing

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12. Broadway Musicals

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13. Caribou Locations

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14. Tour de France

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Maggie Wanjiru
Maggie Wanjiru

Written by Maggie Wanjiru

Data storyteller | Nature Lover | Aspiring photographer

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