iiinova — where your digital self keeps evolving

bpiros.bsky.social @bpiros.bsky.social · 24/09/2026

I made this plot using Matplotlib + plotnine and added interactive tooltips with @joseph-barbier.bsky.social ’s ninejs library. A nice way to bring some interactivity to static visualizations! #matplotlib #ninejs #plotnine #rasterio #ghsl #populationgrid #dataviz

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bpiros.bsky.social @bpiros.bsky.social · 10/09/2026

Can you spot the El Niño years? Explore August sea surface temperature anomalies from 2014–2026. #ecmwf #cds #copernicus #earthkit #cartopy #matplotlib #dataviz

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bpiros.bsky.social @bpiros.bsky.social · 03/09/2026

March was less cloudy than April across most regions in Portugal this year. #ecmwf #cds #copernicus #earthkit #matplotlib #dataviz

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bpiros.bsky.social @bpiros.bsky.social · 30/07/2026

The animation shows the evolution of Total Aerosol Optical Depth at 550 nm. During active wildfire, elevated AOD values can highlight of smoke plumes along with other aerosol sources such as dust, sea salt, and pollution. #earthkit #matplotlib #cartopy #dataviz #cams #copernicus #ecmwf

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bpiros.bsky.social @bpiros.bsky.social · 17/07/2026

More tropical nights than usual were recorded across nearly all of Europe in June. Only the far north and the mountainous areas stayed close to normal. A tropical night is defined as a night when the minimum surface air temperature remains above 20°C. #earthkit #cds #climate #climatechange

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bpiros.bsky.social @bpiros.bsky.social · 09/07/2026

I recently started exploring the earthkit ecosystem. Still lots to explore, but the tutorials and gallery are a great starting point! #earthkit #matplotlib #dataviz

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bpiros.bsky.social @bpiros.bsky.social · 06/07/2026

In February, mainland Portugal was affected by several depressions, a strong jet stream and atmospheric rivers, which brought heavy rainfall. #matplotlib #cartopy #cds #dataviz

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bpiros.bsky.social @bpiros.bsky.social · 29/06/2026

I completed the animation project in @yan-holtz.bsky.social 's d3-loves-react course. The goal of my project was to build interactive charts that allow users to switch between different data views using buttons, while creating smooth transitions with Motion.

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bpiros.bsky.social @bpiros.bsky.social · 04/06/2026

For my project in @yan-holtz.bsky.social 's d3-loves-react course, I built a weather app that fetches 2025 weather data from an API and combines it with locally stored baseline data. Link to the App: devjupyhub.github.io/temp-anomali...

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bpiros.bsky.social @bpiros.bsky.social · 02/06/2026

As part of @yan-holtz.bsky.social's d3-loves-react course, I’ve been learning how to build interactive data visualizations. This project involved creating a responsive energy dashboard with a focus on wrapper components, the useDimensions hook, flexible layouts, hover interactions, and tooltips.

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bpiros.bsky.social @bpiros.bsky.social · 26/02/2026

This week’s #TidyTuesday explores Science Foundation Ireland grant commitments. I built 100% stacked bar charts to show how yearly commitments are divided among the top research bodies. #pydytuesday #matplotlib #dataviz

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bpiros.bsky.social @bpiros.bsky.social · 18/02/2026

This week #TidyTuesday explores the agricultural production statistics in New Zealand. I created slope charts to show how the cultivated area of specific crops changed between two decades. #pydytuesday #matplotlib #dataviz

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bpiros.bsky.social @bpiros.bsky.social · 13/02/2026

I created a map of Corvo Island using osmnx library, showing natural features, land use, waterways and main roads, along with some key facts about the island. #osmnx #matplotlib #pyfonts #dataviz #geospatial

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bpiros.bsky.social @bpiros.bsky.social · 12/02/2026

This week #TidyTuesday explores the 2026 Winter Olympics. I divided the discipline names into groups and created 2D kernel density estimate subplots for each, showing how event day and duration are distributed together. #pydytuesday #matplotlib #seaborn #dataviz

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bpiros.bsky.social @bpiros.bsky.social · 04/02/2026

This week #TidyTuesday explores the Edible Plants Database. I converted the categorical measurements into numerical values, computed the average for each category, and plotted them as triangles inside circles with circle angles corresponding to the measurements. #pydytuesday #matplotlib #dataviz

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bpiros.bsky.social @bpiros.bsky.social · 28/01/2026

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

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bpiros.bsky.social @bpiros.bsky.social · 20/01/2026

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

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bpiros.bsky.social @bpiros.bsky.social · 14/01/2026

This week #TidyTuesday explores the Languages of Africa. I created radial bar charts for the top 3 language families. #pydytuesday #matplotlib #dataviz

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bpiros.bsky.social @bpiros.bsky.social · 07/01/2026

This week #TidyTuesday is about bringing our own data. Using the 2021 Census geopackage data from Portugal’s national statistics agency, I created a bivariate map of Lisbon’s residences categorized by low and high numbers of divisions. #pydytuesday #matplotlib #geopandas #dataviz

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bpiros.bsky.social @bpiros.bsky.social · 30/12/2025

This week #TidyTuesday explores Christmas novels from Project Gutenberg. I collected adjectives that directly precede the word “christmas” using part of speech tagging. Then I created an edge colormap graph to symbolize a sparkler. #pydytuesday #matplotlib #spacy #networkx #dataviz

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bpiros.bsky.social @bpiros.bsky.social · 23/12/2025

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

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bpiros.bsky.social @bpiros.bsky.social · 16/12/2025

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

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bpiros.bsky.social @bpiros.bsky.social · 09/12/2025

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

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bpiros.bsky.social @bpiros.bsky.social · 03/12/2025

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

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bpiros.bsky.social @bpiros.bsky.social · 01/12/2025

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

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bpiros.bsky.social @bpiros.bsky.social · 25/11/2025

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

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bpiros.bsky.social @bpiros.bsky.social · 19/11/2025

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

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bpiros.bsky.social @bpiros.bsky.social · 12/11/2025

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

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bpiros.bsky.social @bpiros.bsky.social · 04/11/2025

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

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bpiros.bsky.social @bpiros.bsky.social · 28/10/2025

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

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bpiros.bsky.social @bpiros.bsky.social · 21/10/2025

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

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bpiros.bsky.social @bpiros.bsky.social · 17/10/2025

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

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bpiros.bsky.social @bpiros.bsky.social · 10/10/2025

I recreated my #TidyTuesday wk36 plot in #Tableau. public.tableau.com/app/profile/...

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bpiros.bsky.social @bpiros.bsky.social · 08/10/2025

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

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bpiros.bsky.social @bpiros.bsky.social · 01/10/2025

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

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bpiros.bsky.social @bpiros.bsky.social · 23/09/2025

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

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bpiros.bsky.social @bpiros.bsky.social · 16/09/2025

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

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