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#seaborn

10 posts3 participants0 posts today

Prepping for my sci-fi inspired data science projects live stream

We decided on the last call to do img classification #CNN w/ #NVIDIA GPUs and #RAPIDS #opencv #cuml #seaborn #cuDF #cupy and started a PRD. I'll share my finished PRD and get to building live for 2 hours.

Wed, July 23 1:15p ET / 12:15p CT / 5:15p GMT

Feel free to come by & say 'hello'

youtube.com/live/2IPZ35XpZaY?s

Ever thought about learning new data skills? 👩‍💻

Through our partnership with DataCamp Adel learned introductory skills in #Python, #Pandas and #Seaborn. 🎉

"Using DataCamp, I developed a biodiversity monitoring dashboard that streamlined data collection and reporting. This tool is now being used by my team to track species populations more effectively and make data-driven conservation decisions." 🌏

Apply for the 2025 programme: 🔗gbif.link/datacampdonates

#DataViz Decision-Making Guide

"How do you decide between #Plotly and #Seaborn?
* If you need interactive and dynamic visualizations, especially for dashboards or 3D data, Plotly is the way to go.
* If you’re focused on statistical analysis, creating publication-ready visuals, or conducting exploratory data analysis, Seaborn is likely your best choice."
by Amit Yadav: medium.com/@amit25173/plotly-v

Medium · Plotly vs Seaborn - Amit Yadav - MediumBy Amit Yadav

Croissant Distribution🥐 📊

or, where am I most likely to have my next croissant, assuming (something something) independence from my previous croissant. 🥐^k * e^(-🥐) / k!
--
2d kernel density estimation of the location of bakeries (blue) and farms (red) across France.

Locations taken from OpenStreetMap (considered paying attention to the size of the farm, but didn't), with #osmnx & plotted with #matplotlib & #seaborn. font: Borel, by Rosalie Wagner.

#30DayMapChallenge Day 2: Lines

Hey #spatial #R folks, is it possible to extract geometries from #ggplot as files? That is, the point, line, and polygon geometries in the graphs to #geopackage or #shapefile etc.

It is possible with #seaborn and #matplotlib, but that's Python not R. There's a nice and lightning fast #EdgeBundling technique in the newest ggplot, which is very promising for the #visualization of massive #mobility data.

There is also something in #HoloViews but I do not understand that library at all.

Late contribution to #TidyTuesday Canadian NHL Player Birth Dates. Trying to get back into the swing of #dataviz. 📊 🤩

Settled on a combination of stripplot, scatter and line to explore the average age of players over time. Looks like the league is getting a bit older overall.

Made in #python using #matplotlib and #seaborn, custom legend and managed to display a discontinued y-axis.

🔗 Full code (not pretty but works): github.com/Lisa-Ho/small-data-