Awesome
TidyTuesday Submissions
Tracking my #TidyTuesday submissions. Here is to getting better at ggplot
!
For more information about TidyTuesday, check out the rfordatascience tidytuesday repo.
<b> Dates: 02/22/2021 - 02/26/2021 </b><br> <i> Output: 2021-07</i><br> BLS: Earnings and Employment<br><br>
<b> Dates: 02/15/2021 - 02/19/2021 </b><br> <i> Output: 2021-06</i><br> W.E.B. Du Bois Recreations<br><br>
<b> Dates: 02/08/2021 - 02/12/2021 </b><br> <i> Output: 2021-05</i><br> Black Student Loan Debt<br><br>
<b> Dates: 02/01/2021 - 02/05/2021 </b><br> <i> Output: 2021-04</i><br> HBCU Enrollment<br><br>
<b> Dates: 01/24/2021 - 01/30/2021 </b><br> <i> Output: 2021-03</i><br> Break Free From Plastic<br><br>
<b> Dates: 01/10/2021 - 01/16/2021 </b><br> <i> Output: 2021-02</i><br> Tate Art Musuem<br><br>
<b> Dates: 01/05/2021 - 01/09/2021 </b><br> <i> Output: 2021-01</i><br> West Coast Transit Infrastructure Projects<br><br>
<b> Dates: 12/01/2020 - 12/05/2020 </b><br> <i> Output: 2020-19</i><br> Toronto shelters at <95% capacity<br><br>
<b> Dates: 11/22/2020 - 11/28/2020 </b><br> <i> Output: 2020-18</i><br> Top features of top washington trails<br><br> </br></br>
<b> Dates: 08/16/2020 - 08/23/2020 </b><br> <i> Output: 2020-17</i><br> IUN declared extinct plants in Africa<br><br> </br></br>
<b> Dates: 08/09/2020 - 08/15/2020</b><br> <i> Output: 2020-16</i><br> Showing the character who discussed Appa the most each episode<br><br> </br></br>
<b> Dates: 08/02/2020 - 08/08/2020</b><br> <i> Output: 2020-15</i><br> Creating imports and exports of europen energy<br><br> </br></br>
<b> Dates: 07/26/2020 - 07/31/2020</b><br> <i> Output: 2020-14</i><br> Used ggimage to create pictograms<br><br> </br></br>
<b> Dates: 07/19/2020 - 07/25/2020</b><br> <i> Output: 2020-13</i><br> Was slightly uninspired, so decided to use {ggforce} to create dog and cat paws.<br><br> </br></br>
<b> Dates: 07/12/2020 - 07/18/2020</b><br> <i> Output: 2020-12</i><br> Took a bit of a break because ...of 2020 things. I tried to recreate the Milky Way where the "stars" are the cumulative number of years spent in space by each astronaut.</br></br> </br></br>
<b> Dates: 05/24/2020 - 05/30/2020</b><br> <i> Output: 2020-11</i><br> Created doughnut plots of percentage of drink that is Tequila</br></br> </br></br>
<b> Dates: 05/10/2020 - 05/16/2020</b><br> <i> Output: 2020-10</i><br> Created a timeline of volcanic erruptions within the United States.</br></br> </br></br>
<b> Dates: 05/03/2020 - 05/09/2020</b><br> <i> Output: 2020-09</i><br> A calendar of Animal Crossing personality types. </br></br> </br></br>
<b> Dates: 03/01/2020 - 03/07/2020</b><br> <i> Output: 2020-07</i><br> I revised my NFL home field advantage data viz to see if I can improve conveying the message of the lack of home field advantage. I think I did a pretty good job!</br> </br></br>
<b> Dates: 02/23/2020 - 02/29/2020</b><br> <i> Output: 2020-06</i><br> This visualization used data collected for an article by the WallStreet Journal on measles outbreaks.</br></br> </br></br>
<b> Dates: 02/16/2020 - 02/22/2020</b><br> <i> Output: 2020-05</i><br> This visualization used webscrapped data on food consumption and associated CO2 emissions globally</br></br> </br></br>
<b> Dates: 02/09/2020 - 02/15/2020</b><br> <i> Output: 2020-04</i><br> This visualization used the an open hotel booking demand dataset from Antonio, Almeida and Nunes, 2019 to see when are the off-seasons and peak-seasons for hotel reservation.</br></br> </br></br>
<b> Dates: 02/02/2020 - 02/08/2020</b><br> <i> Output: 2020-03</i><br> This visualization used the NFL Pro Football Reference data in order to explore home field advantage (Is this a thing in football? Unclear!) </br> </br></br>
<b> Dates: 01/26/2020 - 02/01/2020</b><br>
<i> Output: 2020-02</i><br>
A TidyTuesday project from the R4DS community. </br>
<i>Note:</i> For this visualization I wanted to better understand theme()
, so I modified all the elements instead of using one of ggplot's pre-created themes.</br>
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<b> Dates: 01/26/2020 - 02/01/2020</b><br>
<i> Output: 2020-01</i><br>
An exploration of the U.C. Cliometric Data focused specifically on U.C. Berkeley. This was not a R4DS TidyTuesday dataset<br>
<i>Note:</i> Learned about patchwork
for this dataviz and wow I love her.</br>
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