banner
bpiros.bsky.social
@bpiros.bsky.social
Data viz enthusiast. Bookworm.
Github: https://github.com/DevJupyHUB/
This week #TidyTuesday explores the global tuberculosis (TB) burden estimates. I used the great_tables library again, but this time I tried it with nanoplots.
#pydytuesday #dataviz
November 12, 2025 at 6:20 PM
This week #TidyTuesday explores the lead levels in water samples collected in Flint, Michigan in 2015. I created waffle charts to show the % of samples from MDEQ and Virginia Tech that are above or below the 15 ppb threshold. The 90th percentiles are also highlighted.
#pydytuesday #dataviz
November 4, 2025 at 5:28 PM
This week #TidyTuesday explores the selected British literary prizes data. I created area and line charts by selected genders to show how the number of writers changed over time and added some summary metrics.
#pydytuesday #dataviz
October 28, 2025 at 5:06 PM
This week #TidyTuesday explores meteorological data from the UK Met Office. I calculated yearly averages and the overall average for each variable, identified anomalies and created barcode charts to visualize the anomalies, where each bar represents a year."
#pydytuesday #dataviz
October 21, 2025 at 3:59 PM
This week #TidyTuesday explores the World Food Day. I created proportional half circles to represent the percentage of stunted and overweight children under 5 for each available country, and placed them on a map.
#pydytuesday #dataviz
October 17, 2025 at 4:58 PM
October 10, 2025 at 7:09 PM
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
October 8, 2025 at 3:14 PM
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
October 1, 2025 at 4:31 PM
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
September 23, 2025 at 3:16 PM
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
September 16, 2025 at 4:42 PM
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
September 13, 2025 at 1:20 PM
Week 36 #TidyTuesday explored the FrogID data. I created a cartogram to visualize the frog call coverage by season and region.
#pydytuesday #dataviz
September 11, 2025 at 6:19 PM
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
September 11, 2025 at 6:18 PM
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
August 21, 2025 at 5:04 PM
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
August 14, 2025 at 6:29 PM
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
August 6, 2025 at 5:38 PM
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
August 1, 2025 at 4:35 PM
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
July 30, 2025 at 7:22 PM
This week #TidyTuesday explores the New York MTA Permanent Art Catalogue. My bee swarm plot is designed to resemble the layout of a metro station billboard banner.
#pydytuesday #dataviz
July 23, 2025 at 7:51 PM
This week #TidyTuesday looks into the British Library Funding. This time, I opted for a part-to-whole approach, but I wanted to experiment with something a bit different. My goal was to draw four proportional rectangles from the same starting point for each year.

#pydytuesday #dataviz
July 16, 2025 at 4:58 PM
I worked with the Spiritual & Religious Beliefs dataset from #MakeoverMonday and experimented with patches from #matplotlib.

#python #matplotlib
July 13, 2025 at 5:53 PM
My first post here 🙂 This week #TidyTuesday explores the xkcd color survey results. I joined the answers and color ranks tables to identify the most common color names associated with the top five color ranks and created a text-based plot.
#pydytuesday
July 10, 2025 at 5:46 PM