@bpiros.bsky.social
Data viz enthusiast. Bookworm.
Github: https://github.com/DevJupyHUB/
Github: https://github.com/DevJupyHUB/
This week #TidyTuesday explores the weather prediction of Zurich's exploding snowman. I gathered additional data and created a timeline plot with some fun facts and weather prediction.
#pydytuesday #matplotlib #dataviz
#pydytuesday #matplotlib #dataviz
December 3, 2025 at 5:43 PM
This week #TidyTuesday explores the weather prediction of Zurich's exploding snowman. I gathered additional data and created a timeline plot with some fun facts and weather prediction.
#pydytuesday #matplotlib #dataviz
#pydytuesday #matplotlib #dataviz
Although I didn’t join the 30DayMapChallenge, but it still got me in the mood to plot some city grids using the osmnx library.
#osmnx #matplotlib #pyfonts #dataviz
#osmnx #matplotlib #pyfonts #dataviz
December 1, 2025 at 5:31 PM
Although I didn’t join the 30DayMapChallenge, but it still got me in the mood to plot some city grids using the osmnx library.
#osmnx #matplotlib #pyfonts #dataviz
#osmnx #matplotlib #pyfonts #dataviz
This week #TidyTuesday explores the statistical performance indicators (SPI). I created gauge charts to show the overall statistical performance score per region.
#pydytuesday #dataviz #matplotlib
#pydytuesday #dataviz #matplotlib
November 25, 2025 at 4:56 PM
This week #TidyTuesday explores the statistical performance indicators (SPI). I created gauge charts to show the overall statistical performance score per region.
#pydytuesday #dataviz #matplotlib
#pydytuesday #dataviz #matplotlib
This week #TidyTuesday explores the Complete Sherlock Holmes. I selected a novel to compare how often Holmes and Watson are mentioned. After that I created square heatmaps to show the frequency of each mentioned name.
#pydytuesday #dataviz
#pydytuesday #dataviz
November 19, 2025 at 5:25 PM
This week #TidyTuesday explores the Complete Sherlock Holmes. I selected a novel to compare how often Holmes and Watson are mentioned. After that I created square heatmaps to show the frequency of each mentioned name.
#pydytuesday #dataviz
#pydytuesday #dataviz
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
#pydytuesday #dataviz
November 12, 2025 at 6:20 PM
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
#pydytuesday #dataviz
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
#pydytuesday #dataviz
November 4, 2025 at 5:28 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
#pydytuesday #dataviz
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
#pydytuesday #dataviz
October 28, 2025 at 5:06 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
#pydytuesday #dataviz
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
#pydytuesday #dataviz
October 21, 2025 at 3:59 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
#pydytuesday #dataviz
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
#pydytuesday #dataviz
October 17, 2025 at 4:58 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
#pydytuesday #dataviz
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 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
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
#pydytuesday #dataviz
October 1, 2025 at 4:31 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
#pydytuesday #dataviz
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
#pydytuesday #dataviz
September 23, 2025 at 3:16 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
#pydytuesday #dataviz
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
#pydytuesday #dataviz
September 16, 2025 at 4:42 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
#pydytuesday #dataviz
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
#pydytuesday #dataviz
September 13, 2025 at 1:20 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
#pydytuesday #dataviz
Week 36 #TidyTuesday explored the FrogID data. I created a cartogram to visualize the frog call coverage by season and region.
#pydytuesday #dataviz
#pydytuesday #dataviz
September 11, 2025 at 6:19 PM
Week 36 #TidyTuesday explored the FrogID data. I created a cartogram to visualize the frog call coverage by season and region.
#pydytuesday #dataviz
#pydytuesday #dataviz
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
#pydytuesday #dataviz
September 11, 2025 at 6:18 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
#pydytuesday #dataviz
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
#pydytuesday #dataviz
August 21, 2025 at 5:04 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
#pydytuesday #dataviz
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
#pydytuesday #dataviz
August 14, 2025 at 6:29 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
#pydytuesday #dataviz
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
#pydytuesday #dataviz
August 6, 2025 at 5:38 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
#pydytuesday #dataviz
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
#TidyTuesday #DataViz #MadeWithFlourish
August 1, 2025 at 4:35 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
#TidyTuesday #DataViz #MadeWithFlourish
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
#pydytuesday #dataviz
July 30, 2025 at 7:22 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
#pydytuesday #dataviz
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 🙂
July 25, 2025 at 12:17 PM
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 🙂
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
#pydytuesday #dataviz
July 23, 2025 at 7:51 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
#pydytuesday #dataviz
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
#pydytuesday #dataviz
July 16, 2025 at 4:58 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
#pydytuesday #dataviz