Lightnews — Scholar-powered news

bpiros.bsky.social @bpiros.bsky.social · 18h

This week #TidyTuesday explores EuroLeague Basketball, the premier men’s club basketball competition in Europe. I used a circle packing chart to show each team’s final four appearances and success rate, using size and color to represent these values. #pydytuesday #dataviz

1 1 7

bpiros.bsky.social @bpiros.bsky.social · 5d

I agree with you. Sketching by hand helps stay focused before writing the code.

2

bpiros.bsky.social @bpiros.bsky.social · 6d

Thanks! I'm glad you like it!

1

bpiros.bsky.social @bpiros.bsky.social · 7d

This week #TidyTuesday explores the crane observations at Lake Hornborgasjön, Sweden. I created a dumbbell chart to show the differences between the seasonal counts.
#pydytuesday #dataviz

2 2 11

bpiros.bsky.social @bpiros.bsky.social · 15d

This week #TidyTuesday explores the FIDE Chess Player Ratings. I selected the top 10 male and top 10 female players who saw the biggest jump in ratings and rankings from August to September and then presented them in a table with the great_tables library.

#pydytuesday #dataviz

1 4

bpiros.bsky.social @bpiros.bsky.social · 19d

They are amazing!

1

bpiros.bsky.social @bpiros.bsky.social · 22d

It's not just me then! I've found myself skipping recipes now if there’s something in there I can't pronounce or haven't heard of.

1 1 1

bpiros.bsky.social @bpiros.bsky.social · 22d

This week #TidyTuesday exploring a curated collection of recipes collected from Allrecipes website. I created donut chart subplots to look like plates and added a fork and knife image to each.
#pydytuesday #dataviz

4 18

bpiros.bsky.social @bpiros.bsky.social · 25d

This week #TidyTuesday explores the Henley Passport Index Data. I created subplots of scatters for each EU member country to visually compare the number of free visa destinations over the period of 12 years.
#pydytuesday #dataviz

4

bpiros.bsky.social @bpiros.bsky.social · 27d

Week 36 #TidyTuesday explored the FrogID data. I created a cartogram to visualize the frog call coverage by season and region.
#pydytuesday #dataviz

1 7

bpiros.bsky.social @bpiros.bsky.social · 27d

Week 35 #TidyTuesday explored the Billboard Hot 100 Number Ones. I created a dot plot to visualize the distribution of hits and their BPM.
#pydytuesday #dataviz

1 9

bpiros.bsky.social @bpiros.bsky.social · Aug 22

Thank you!

bpiros.bsky.social @bpiros.bsky.social · Aug 21

This week #TidyTuesday explores the Scottish Munros. I combined a KDE plot to visualize Munro spread with a scatter plot which is color coded by distance to the nearest Munro, and put it all on a map.

#pydytuesday #dataviz

1 4 20

bpiros.bsky.social @bpiros.bsky.social · Aug 14

This week #TidyTuesday explores extreme weather attribution studies. I looked at studies about Africa with ISO country codes, then made spike maps to show the number of studies and their event or trend type using height and color.
#pydytuesday #dataviz

1 8

bpiros.bsky.social @bpiros.bsky.social · Aug 9

Added to my reading list 😊

1

bpiros.bsky.social @bpiros.bsky.social · Aug 8

I agree with you, The Kite Runner is such a good book. I didn't know Honor by Elif Shafak, but I’ve read and loved The Island of Missing Trees and 10 Minutes 38 Seconds in This Strange World.

1 1

bpiros.bsky.social @bpiros.bsky.social · Aug 7

Yes, I used Matplotlib. I always use it for pydytuesday because for full control over the details, Matplotlib is the best.

1

bpiros.bsky.social @bpiros.bsky.social · Aug 6

This week #TidyTuesday explores the income inequality before and after taxes. I created line charts with a shaded area and small multiples within a mosaic layout. I used only a subset of the processed data where both coefficients were available.
#pydytuesday #dataviz

1 3 11

bpiros.bsky.social @bpiros.bsky.social · Aug 1

I've recreated my week 24 plot, originally created by Matplotlib (left), using Flourish (right). This is my first time using Flourish, so I’m not sure if the height issue is something I missed when adjusting, or if it might be a limitation of this graph.
#TidyTuesday #DataViz #MadeWithFlourish

1 1 5

bpiros.bsky.social @bpiros.bsky.social · Jul 31

I’m more into Peaky Blinders and Vikings, but I remember watching the 1-3 seasons of House of Cards and how I never got around to finishing it.

2

bpiros.bsky.social @bpiros.bsky.social · Jul 30

This week #TidyTuesday is looking into what we have been watching on Netflix. Generally speaking, shows tend to get tired after 2-3 seasons, though there are exceptions.
#pydytuesday #dataviz

1 2 9

bpiros.bsky.social @bpiros.bsky.social · Jul 25

I created this plot with ax.inset_axes() method too with total 14 axes (1 main + 13 child axes). It is a kind of guilty pleasure plot because the charts are hardly readable 🙂

1 1

bpiros.bsky.social @bpiros.bsky.social · Jul 25

The lighting is a characteristic of the original image that I wanted to preserve, which is why I didn't change the background color in the inset axes.

1 2

bpiros.bsky.social @bpiros.bsky.social · Jul 25

My family had the same reaction when they saw it🙂

2

bpiros.bsky.social @bpiros.bsky.social · Jul 25

The background image is placed into the main axes, and the bee swarm plot is added by using the ax.inset_axes() Matplotlib method.

1 1