A simple stacked bar chart for #TidyTuesday this week, looking at disparities in the number of male and female tortoises 🐢

Made with Plotnine in #Python 📊

Code: https://github.com/nrennie/tidytuesday/tree/main/2026/2026-03-03

#DataViz #PydyTuesday #Plotnine

What if all munros (mountains in Scotland > 3000ft or 914.4m) were on a single munro? 🗻

Fun visual experiment for #TidyTuesday using #python, pandas, #matplotlib, pyfonts.

Code https://github.com/Lisa-Ho/small-data-projects?tab=readme-ov-file#082025-scottish-munros

#dataviz #PydyTuesday

Had some fun plotting colors in 3D for #TidyTuesday #PydyTuesday

The top 100 color names in the 2010 xkcd color name survey by hue, lightness and saturation. Interactive chart made with python + plotly + quarto https://inside-numbers.quarto.pub/top-100-color-names/

Code: https://github.com/Lisa-Ho/small-data-projects/blob/main/README.md#072025-color-names

#dataviz #creativecoding

A little late, but here is my #tidytuesday #pydytuesday submission -- the useR! 2025 program, but with #python!

mine.quarto.pub/user2025-but...

Thanks to Chat GPT for helping translate my original #rstats code to Python. Loved how easy it was to go from gt to great_tables. Details at the link 👆.

A long time since I did some basic EDA on the Tidy Tuesday data sets. But this time with Python on Jupyter Notebooks on 2025 Week 3 Himalayan Mountain Ranges.

Coming from knowledge of #RStats these datasets provide a perfect place to develop your data science skills on Python as well.

Take a look at the notebook in the link - https://github.com/arnabpanja/python-core-dev/blob/main/scripts-core/jupyter_notebooks/tt_2025_week_3.ipynb

#TidyTuesday #PydyTuesday #DataScience

Did you know you can now access #TidyTuesday data in #Python as well as #RStats?

Here's a plot of this week's data about Pixar films made with Plotnine! 📊

💻 Import data using PyDyTuesday
🎨 Coloured subtitle text added with highlight_text
🖊️ Fonts installed with pyfonts by Joseph Barbier

Code: https://github.com/nrennie/tidytuesday/tree/main/2025/2025-03-11

#DataViz #ggplot2 #plotnine #PydyTuesday