@bpiros.bsky.social
đ€ 75
đ„ 66
đ 59
Data viz enthusiast. Bookworm. Github:
https://github.com/DevJupyHUB/
This week
#TidyTuesday
explores Brazilian Companies. I created a connected scatter plot of high and low capital stock pairs by legal nature. Axes are logarithmic to handle skewness, but labels display the original values.
#pydytuesday
#matplotlib
#dataviz
about 14 hours ago
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4
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This week
#TidyTuesday
explores the Astronomy Picture of the Day (APOD) archive. I filtered the data to focus on Portugal related images and visualized them using circle packing.
#pydytuesday
#matplotlib
#dataviz
9 days ago
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9
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This week
#TidyTuesday
explores the Languages of Africa. I created radial bar charts for the top 3 language families.
#pydytuesday
#matplotlib
#dataviz
15 days ago
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9
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This week
#TidyTuesday
is about bringing our own data. Using the 2021 Census geopackage data from Portugalâs national statistics agency, I created a bivariate map of Lisbonâs residences categorized by low and high numbers of divisions.
#pydytuesday
#matplotlib
#geopandas
#dataviz
22 days ago
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12
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This week
#TidyTuesday
explores Christmas novels from Project Gutenberg. I collected adjectives that directly precede the word âchristmasâ using part of speech tagging. Then I created an edge colormap graph to symbolize a sparkler.
#pydytuesday
#matplotlib
#spacy
#networkx
#dataviz
30 days ago
1
9
0
Happy holidays to you all!
#matplotlib
#dataviz
about 1 month ago
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9
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This week
#TidyTuesday
explores the Languages of the World. I made some chord diagram subplots where each subplot highlights a different macro area.
#pydytuesday
#matplotlib
#pycirclize
#dataviz
about 1 month ago
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10
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This week
#TidyTuesday
explores roundabouts in the world. I filtered the data for Portugal, added extra info, and made a grid of circles that looks like the Portugal map. The colors show how many roundabouts are in each district or autonomous region.
#pydytuesday
#matplotlib
#dataviz
about 1 month ago
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This week
#TidyTuesday
explores data about cars in Qatar. I visualized the distribution of car performance by manufacturing country using raincloud plots.
#pydytuesday
#matplotlib
#seaborn
#dataviz
about 2 months ago
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3
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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
about 2 months ago
0
9
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Although I didnât join the 30DayMapChallenge, but it still got me in the mood to plot some city grids using the osmnx library.
#osmnx
#matplotlib
#pyfonts
#dataviz
about 2 months ago
1
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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
2 months ago
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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
2 months ago
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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
3 months ago
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18
1
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
3 months ago
0
9
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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
3 months ago
0
9
1
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
3 months ago
1
10
1
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
3 months ago
0
9
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I recreated my
#TidyTuesday
wk36 plot in
#Tableau
.
public.tableau.com/app/profile/...
4 months ago
0
7
1
reposted by
The Guardian
4 months ago
LĂĄszlĂł Krasznahorkai wins the Nobel prize in literature 2025
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LĂĄszlĂł Krasznahorkai wins the Nobel prize in literature 2025
The author was announced as winner at a ceremony in Stockholm âą Nobel prize in literature 2025 live: LĂĄszlĂł Krasznahorkai wins âfor his compelling and visionary oeuvreâ The Nobel prize in literature for 2025 has been awarded to Hungarian author LĂĄszlĂł Krasznahorkai, the Swedish Academy has announced. The Academy cited the 71-year-oldâs âcompelling and visionary oeuvre that, in the midst of apocalyptic terror, reaffirms the power of artâ. Continue reading...
https://www.theguardian.com/books/2025/oct/09/laszlo-krasznahorkai-wins-the-nobel-prize-in-literature-2025?utm_source=dlvr.it&utm_medium=bluesky&CMP=bsky_gu
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This week
#TidyTuesday
explores EuroLeague Basketball, the premier menâs club basketball competition in Europe. I used a circle packing chart to show each teamâs final four appearances and success rate, using size and color to represent these values.
#pydytuesday
#dataviz
4 months ago
1
10
1
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
4 months ago
2
12
2
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
4 months ago
0
4
1
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 months ago
0
17
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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
5 months ago
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4
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Week 36
#TidyTuesday
explored the FrogID data. I created a cartogram to visualize the frog call coverage by season and region.
#pydytuesday
#dataviz
5 months ago
0
6
1
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
5 months ago
0
8
1
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
5 months ago
1
19
3
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
6 months ago
0
7
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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
6 months ago
1
11
3
I've recreated my week 24 plot, originally created by Matplotlib (left), using Flourish (right). This is my first time using Flourish, so Iâm 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
6 months ago
1
4
1
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
6 months ago
1
8
2
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
6 months ago
1
14
3
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
7 months ago
0
6
1
I worked with the Spiritual & Religious Beliefs dataset from
#MakeoverMonday
and experimented with patches from
#matplotlib
.
#python
#matplotlib
7 months ago
2
5
1
My first post here đ 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
7 months ago
2
11
0
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