😲 Make some fancy interactive tables…
— Mara Averick (@dataandme) November 18, 2019
"{reactable}: Interactive data tables for R" ✍️ Greg Linhttps://t.co/WouHrd78XZ #rstats pic.twitter.com/tbzr9oMZI6
😲 Make some fancy interactive tables…
— Mara Averick (@dataandme) November 18, 2019
"{reactable}: Interactive data tables for R" ✍️ Greg Linhttps://t.co/WouHrd78XZ #rstats pic.twitter.com/tbzr9oMZI6
👩💻 Fun code-through w/ @DrMowinckels…
— Mara Averick (@dataandme) November 18, 2019
📊 "Plotting GAMM results with ggplot2" https://t.co/29t4YvLyfX #rstats pic.twitter.com/vVcznnAgFx
Here's 800 occupations and salaries https://t.co/yD5sAGMr4s
— Nathan Yau (@flowingdata) November 18, 2019
You can visualize multiple dimensions thanks to the MultiIndex, but need to use pivot_table as pivot isn't able to handle multiple columns.
— Ted Petrou (@TedPetrou) November 17, 2019
Here is all of the code and 4 hyperparameters pic.twitter.com/IgueKEWC7k
Ideological leanings of current US Supreme Court justices. #dataviz https://t.co/t8XkzydIWB pic.twitter.com/JeFkgd5GJK
— Randy Olson (@randal_olson) November 14, 2019
How to create @drob’s favorite graph:
— Emily Robinson (@robinson_es) November 9, 2019
1. count()
2. Reorder by the count with fct_reorder()
3. Make a bar plot with geom_col()
4. Flip with coord_flip() to easily read the labels #rstatsdc pic.twitter.com/T2BhXB8aNq
.@data_stephanie showed us how to make amazing race plots with gganimate 📊🤯
— David Robinson (@drob) November 8, 2019
Slides and code here! https://t.co/DFP2LGKxmp#rstatsdc pic.twitter.com/02QvvVlnR8
We see a similar story when you plot the cost of college #education against Federal minimum wage.
— Randy Olson (@randal_olson) November 8, 2019
Federal minimum wage just isn’t keeping pace. #datavizhttps://t.co/yfknUtCa82 pic.twitter.com/7c2ROgYLwI
Just submitted our new automated meta-analysis tool for publication: https://t.co/zzBDwuOb7x
— Gael Varoquaux (@GaelVaroquaux) November 6, 2019
I think that the tool is super useful. I dread that it might not be deemed neurosciency enough by peer review.
In the mean time, use it to do good science! pic.twitter.com/jpMH8Uwy2j
Understanding UMAP - an interactive introduction to the algorithm and how to us (and mis-use) it from @_coenen and @adamrpearce . A must read for anyone interested in dimension reduction.https://t.co/yzUoNQrnbR
— Leland McInnes (@leland_mcinnes) November 5, 2019
UMAP is a real advance in visualizing high dimensional data. But how should we read it? And when should we use it? Take a look at this interactive essay by @_coenen and @adamrpearce!https://t.co/k5jwCfcBoD pic.twitter.com/G6H9F0FThL
— Martin Wattenberg (@wattenberg) November 5, 2019
A Daylight Saving Time gripe assistant tool by @awoodruff, so that you can justify your complaints geographically https://t.co/GrWfViBelW pic.twitter.com/Hj7M9xxENU
— Nathan Yau (@flowingdata) November 5, 2019