Large new dataset of Amazon product reviews, including full text and photos and product characteristics, with individual *reviews labeled as fake reviews*.
I believe this is the first publicly available data of this kind.
github.com/bretthollenb...
Large new dataset of Amazon product reviews, including full text and photos and product characteristics, with individual *reviews labeled as fake reviews*.
I believe this is the first publicly available data of this kind.
github.com/bretthollenb...
Yay!! I just submitted the complete manuscript of my upcoming book to the publisher!
Learn to easily and clearly interpret (almost) any stats model w/ R or Python. Simple ideas, consistent workflow, powerful tools, detailed case studies.
Read it for free @ marginaleffects.com
#RStats #PyData
Yay!! I just submitted the complete manuscript of my upcoming book to the publisher!
Learn to easily and clearly interpret (almost) any stats model w/ R or Python. Simple ideas, consistent workflow, powerful tools, detailed case studies.
Read it for free @ marginaleffects.com
#RStats #PyData
yiqingxu.org/packages/fec...
Hope you no longer need to spend months figuring out what these estimators are and how to use them.
yiqingxu.org/packages/fec...
Hope you no longer need to spend months figuring out what these estimators are and how to use them.
If you want to learn about:
🎨 Monochrome colour palettes
📊 Designing better black & white visualisations
🛠️ Rethinking single-colour chart design
Read this ➡️ nrennie.rbind.io/blog/monochr...
#RStats #DataViz #ggplot2 #RLadies
If you want to learn about:
🎨 Monochrome colour palettes
📊 Designing better black & white visualisations
🛠️ Rethinking single-colour chart design
Read this ➡️ nrennie.rbind.io/blog/monochr...
#RStats #DataViz #ggplot2 #RLadies
positron.posit.co/rstudio-rpro...
#rstats #rstudio #positron
positron.posit.co/rstudio-rpro...
#rstats #rstudio #positron
I made a tiny teaching tool to help me interactively demo + share differences between 📊 and 🥧
Play: I find that tinkering with data + visuals in class reinforces understanding far more than slides or readings
Save + share: Copy the url to link the current data
👉 barvpie.netlify.app
I made a tiny teaching tool to help me interactively demo + share differences between 📊 and 🥧
Play: I find that tinkering with data + visuals in class reinforces understanding far more than slides or readings
Save + share: Copy the url to link the current data
👉 barvpie.netlify.app
Feel free to suggest additional papers. Self promotion encouraged! All University of Toronto PhD students welcome to audit. Please get in touch.
Feel free to suggest additional papers. Self promotion encouraged! All University of Toronto PhD students welcome to audit. Please get in touch.
Villagers have an average of 1.26 (SD 1.70) enemies, and these enemies have 3.40 (SD 2.11) enemies.
www.nature.com/articles/s41... 7/
Villagers have an average of 1.26 (SD 1.70) enemies, and these enemies have 3.40 (SD 2.11) enemies.
www.nature.com/articles/s41... 7/
elmer, elmer.tidyverse.org, is a new package to make it easier to work with LLMs (hosted and local) from #rstats. It includes helps for structured data extraction and tool calling, and an easy way to upload a plot. Joint work with Joe Cheng.
elmer, elmer.tidyverse.org, is a new package to make it easier to work with LLMs (hosted and local) from #rstats. It includes helps for structured data extraction and tool calling, and an easy way to upload a plot. Joint work with Joe Cheng.