I loved this visualization design when I saw it on my timeline a few days ago.

Knew that it was possible to recreate it using the The {gt}/great_tables Packages in R. Here's exactly how to do it (opted to bold the juror numbers). Got pretty close! 🖥️👇

gist.github.com/andreweatherma…

Soy fan de {pandas}📦.style pero por alguna razón se renderiza mal en Github. Estuve probando y {great_tables}📦 ({gt} de R en versión python) sí se renderiza bien:
github.com/karbartolome/q…

Having a blast with the The {gt}/great_tables Packages.

The python version of The {gt}/great_tables Packages just released nanoplots for tables! Loving the examples with polars data -- beautiful syntax and output

Check it out: posit-dev.github.io/great-tables/b…

Want html formatting of a DataFrame? Check out the great-tables library. Here we get more insight on NYC taxi data by formatting the pickup so we can see what day and time of the week it was, while we can pick out the monetary columns with the $

API docs: pypi.org/project/great-…

Do you know that 'great tables' by Posit PBC work with your Panel data app?

👇link to code below

#python #dataviz #datascience #Analytics

for #tidytuesday 2024§09, i continued to dive in the The {gt}/great_tables Packages fantastic documentation. the result, a humble yet useful table for crunching events to single-word tokens via ai-assistance. #rstats
github.com/federicoalegri…

[RELEASE, BLOG POST]
Great Tables `v0.3.0` is now released! There's an intro blog post at:

posit-dev.github.io/great-tables/b…

Many new methods added, and `cols_width()`, `tab_options()`, and `fmt_image()` are the notable ones. Don't know GT? Check out the GH repo:

github.com/posit-dev/grea…

Valoración de los jugadores de la #LigaEndesa esta semana en Europa antes de la J2️⃣1️⃣ con vistas al #SuperManagerACB 💾
Datos: Proballers
Tenemos secuela Birgander con Todorovic?

[RELEASE, BLOG POST]
Great Tables `v0.2.0` is now released on PyPI! We wrote a blog post about it here:

posit-dev.github.io/great-tables/b…

The biggest new feature is the addition of the `data_color()` method, which unlocks more possibilities for table presentation!

gt `0.10.1` is out now! It contains all sorts of improvements to nanoplots (single bars! box plots!) as well as fixes to make everything just a little bit nicer. Release notes here: github.com/rstudio/gt/rel…

If you know me, you probably know my fixation on column names and column selectors for data wrangling, docs, and validation

I had NOT thought about selectors for styling. Awesome blog post on the deep integration of these features in The {gt}/great_tables Packages and polars data

[BLOG POST]
Styling tables is super important. Thankfully, Polars makes styling tables easy!

* ䷖ Polars selectors: choose columns for styling.
* 🎯Polars expressions: zero in on specific rows to highlight.
* 🎨 It’s easy to color cells based on data.

posit-dev.github.io/great-tables/b…

[NEW FEATURES]
PR#1527 (github.com/rstudio/gt/pul…) adds in box plots as a type of nanoplot. The box plots are laid out horizontally to conserve space and they can be compared across rows. Documentation for `cols_nanoplot()` (gt.rstudio.com/reference/cols…) contains a nice new example.

2023 has been a year of complex layers. From crafting infographics to tackling interactive projects, it's more than just visuals. It's juggling styles, stories, data types, deadlines, budgets, and feedback. Not easy, but worth it! #datavisualization #ChartStories #frelancework

Learn how to create these cool game performance tables using The {gt}/great_tables Packages + cbbdata and cbbplotR on my blog!

If you find it valuable, please consider dropping a free subscription! It helps me gauge what content is useful.

open.substack.com/pub/aweatherma…

[BLOG POST]
First Great Tables blogpost on the project site! It shows you how to:
•configure the structure of the table (+ add source notes)
•format table-cell values
•add styling to targeted table cells (w/ Polars niceties)

Check it out at: posit-dev.github.io/great-tables/b…

2023 median CO2 intensity (gCO2eq/kWh) and power consumption breakdown (%). Data via Electricity Maps
table via R {gt} package.
#rstats #gt #energy #EnergyTransition #electricity #data #data visualisation
Methodology: electricitymaps.com/methodology