#tidytuesday

Week 38 of #TidyTuesday: A Marimekko plot of state spending on libraries #RStats Normally I feel iffy about these types of charts... but I think they work when the areas of the bars are meaningful (in this case, they show total spending) Code: https://bit.ly/2H58NA3 pic.twitter.com/QCX6GF8QIq

This week #TidyTuesday data about US spending on children from 1997 to 2016 code: https://bit.ly/3mBrZWq pic.twitter.com/YioCmiZLRn

Here's my first #TidyTuesday :) US spending on education. My first time creating a rank plot, useful vis but maybe not the best for 51 comparisons, I feel the plot is crowded and the text too small. Feedback welcome. #rstats Code: https://github.com/Luke-Shaw/TTT-tidytuesdaytime/blob/master/2020-09-15-tidykids.R …pic.twitter.com/k81wjQl5pR

#TidyTuesday didn't have much creativity pic.twitter.com/Q2Jr5fHP6B

My attempt at this week's #TidyTuesday. I wasn't sure this idea was going to work. Someday, I would love to make an interactive version of this visualization (e.g. bars expand as you hover over them). #rstats https://github.com/sccmckenzie/tidytuesday/blob/master/tidykids/tidykids.R …pic.twitter.com/hiSdqPNUTy

Learned how to do "racecar" bar chart for today's #TidyTuesday! pic.twitter.com/3trIW9HnGY

Change in public spending on libraries for this week’s #TidyTuesday. Inspiration from the plot at https://flowingdata.com/2020/05/21/reopening-states-and-how-they-currently-measure-up/ … code: https://github.com/gkaramanis/tidytuesday/tree/master/2020-week38 … #dataviz #RStatspic.twitter.com/Silr9BjX7C

Is there a record for tardiest #TidyTuesday submission? I fell down a rabbit hole with the "cocktails" dataset. The end result: a shiny app that optimizes ingredient selection based on drink choices: https://sccm.shinyapps.io/cocktail-ingredients/ … Post: https://sccm.io/cocktails-2/  #r4ds #rstats #shiny pic.twitter.com/WlC1xZu1W7

#TidyTuesday For this week, US Spending on Kids Week 38 #RStats Code: https://github.com/ronycoelho/tidytuesday …pic.twitter.com/mXpmaPoI6U

This week #TidyTuesday #Friends TV Show data. Code: https://bit.ly/32haxy0 pic.twitter.com/2rh4mizdF3

Happy to submit my first #TidyTuesday post ever! Looking at the number of times each #Friends character says another character's name. : https://github.com/DavidBrocker/TidyTuesday/ … Although I'm not super happy with the labels! #rstatspic.twitter.com/zVEJNTZiqN

It’s #TidyTuesday again! Today I took a closer look at higher education spending by state. Next time I’ll figure out how to give the colors a meaning... pic.twitter.com/Weo7CMuxz9

#RStats My contribution to #TidyTuesday for this week (37) The database was about Friends Code: https://github.com/ronycoelho/tidytuesday/tree/master/week_37 …pic.twitter.com/1PAuBLRsHM

My first #TidyTuesday looks at which of the main characters in Friends are most spoken about - and by whom. Thanks for the inspiration to keep those data wrangling and plotting skills sharp! My Code available here: https://github.com/kheal/TidyTuesday/blob/master/200908_Friends.R …pic.twitter.com/OcO0Ebrc8f

Better late than never! Finally got around to finishing this week's #TidyTuesday for Friends. Had lots of fun finding out who's the most exclamative and inquisitive on this smokey California morning! pic.twitter.com/mkXclXeZeV

Late night #TidyTuesday Playing with new packages and NLP on the Friends data. This is homage to @CedScherer, who’s been kept away with work and other projects. #BabyComeBack. Code @ http://bit.ly/2TMiRyW  #rstats #r4ds #datavizpic.twitter.com/DA94kJ2gdo

#TidyTuesday week 36 was looking at Global Crop Yields, I focused only on #Kenya's Productivity from 1961 to 2018. 2014 was a Hit for Banana production, data source: http://ourworldindata.org/crop-yields  code: http://github.com/johnmutiso/-TidyTuesday/blob/master/2020/week%2036/script.R … #rstats #r4dspic.twitter.com/rKZkXVvQTx

F•R•I•E•N•D•S week in #TidyTuesday Inspired by @elizabethets post (https://link.medium.com/Se45rxRkL9  ), I remake the tile chart of rating episodes but this time used z-values to compare the worst a best episodes of all series. Here's plot and code pic.twitter.com/a3d9M7nz9p

My first #TidyTuesday project. US spendings on kids also, my first diverging plots, I welcome any feedback! used #patchwork for the final touch. #DataVisualization #RStatspic.twitter.com/I66GRyVDbt