🎥 The recording is out! Our R-Ladies Rome session “From Basics to Advanced Health Analytics: Exploring Diabetes Data” is now available. We cover EDA, data wrangling, ggplot2 visualisation, and clustering, step by step, using a simulated diabetes dataset. 👉 Watch here: tinyurl.com/mtv393fr

Next @rladiesrome.bsky.social workshop! 💜 “From Basics to Advanced Health Analytics: Exploring Diabetes Data” - A hands-on session walking through EDA → wrangling → ggplot2 viz → modeling → clustering 🤩 Hosted by @fgazzelloni.bsky.social , Rafaela & Lucy ✨ RSVP: www.meetup.com/rladies-rome...

Here we are 👉🗺️ the final day of #30DayMapChallenge 2025 💛 30 maps, 30 ideas — exploring data, design, projections, rasters, OSM layers, insets, palettes & reproducible R workflows. Improved something new every day. 💛

Here we are 👉🗺️ the final day of #30DayMapChallenge 2025 💛 30 maps, 30 ideas — exploring data, design, projections, rasters, OSM layers, insets, palettes & reproducible R workflows. Improved something new every day. 💛

Day 30 (Makeover) of Accessibility Rebuilt my Spain healthcare accessibility map using a simulated distance-to-hospital raster in km, a metric CRS, and a cleaner warm→cool palette. Amazing how much clarity you gain from a small cartographic redesign. #30DayMapChallenge #RStats

Day 29: Raster for #30DayMapChallenge! Today I mapped the Gran Sasso Massif in Italy 🏔️ High-res DEM + multidirectional hillshade + custom palette + inset map. Made entirely in R ({terra} + {sf} + {ggplot2}). Loving how much detail comes alive in raster data. #RStats #Geospatial

Day 28 - Black 🖤 A monochrome Mt. Etna elevation map using only light + texture (hillshade, contours). Minimal, high-contrast. #30DayMapChallenge #GIS #rstats #Cartography #Terrain

Day 27 - Boundaries 🗺️ A clean boundary map with an inset zoom on Roraima (Brazil). Made with R + Natural Earth. Repo → bookdown.org/fede_gazzell... #30DayMapChallenge #GIS #rstats

Day 26 — Transport 🚦 Mapped Portugal’s road network using OSM data + R ({sf}, {terra}, {ggplot2}). Tried different schemes to balance the many speed categories. #30DayMapChallenge #rstats #GIS #DataViz

Days 26-28 of #30DayMapChallenge are out! 🎉 🚌 Transport - OSM roads of Portugal 🗺️ Boundaries - Brazil + Roraima inset 🔤 Place Names - Wikidata endonyms Made with R: {sf} {terra} {stars} {ggplot2} #rstats #GIS #DataViz #RStats

#30DayMapChallenge Day 25 – Hexagons A hexagonal 🇮🇹 Italy using ~200 km cells. Made with #rstats #sf #ggplot2 🔷 Map: Federica Gazzelloni

Day 24 — Places & Their Names 🌍 A simple world map labelled with English country names, built in R with Natural Earth + ggplot2. Clean, minimal, and ready for the eye to explore. #30DayMapChallenge #RStats #DataViz #GIS #sf #ggplot2

Day 23 – #30DayMapChallenge · Process Mapping is more than plotting data: it’s a workflow. Today’s infographic breaks it down into three essentials: 🗂️ Data Collection 🎨 Map Design 📤 Final Output Clear data → thoughtful design → effective maps. #rstats #GIS #Cartography #DataViz

Day 22 | #30DayMapChallenge — Data: Natural Earth A vintage-style map using @NaturalEarth 1:10m physical layers, zoomed to the Eastern Hemisphere (60°E–180°E, 50°S–50°N). Soft colours, clean lines, and a classic atlas feel. 🌍✨ #Rstats #ggplot2 #GIS #DataViz #Maps #Geospatial

Earthquakes Yearly Avg Magnitude 6+ (1900–2013) 🌍 Centroids marked with flag icons for #Day21 Icons. Data: USGS Map: Federica Gazzelloni #30DayMapChallenge #RStats #GIS #Earthquakes #DataViz

Day 20 of #30DayMapChallenge: Water 🌊 Here’s the Mediterranean Sea in stunning detail using the ETOPO1 global relief model — deep trenches, shallow shelves, and surrounding terrain all in one map. R + terra + ggplot2 #RStats #GIS #Bathymetry #Mediterranean #DataViz #Geospatial

Day 19 — Projections 🌍 Same world data, one transformation: • Goode Homolosine → interrupted + distinctive Projections change everything — even before you add any data. #30DayMapChallenge #rstats #dataviz

Day 18 – Out of the World 🚀🔴 Mapped Mars today using the Viking global mosaic from NASA/USGS. Rebuilt the extent in R and plotted the planet in a clean equirectangular view. Amazing what you can do with a simple JPG + {terra}! #30DayMapChallenge #Rstats #GIS #Mars #DataViz

Day 17 of the #30DayMapChallenge: tried Felt.com for today’s “New Tool” theme. Climate Change Data - Yearly AVG Temp at Weather Stations. #30DayMapChallenge #Day17 #NewTool #FeltMap

Day 16 #30DayMapChallenge 🌍🔥 Global map of expected deaths per 1M population from Environmental Heat & Fire (GBD 2023), visualized with a grid and Equal Earth projection. Expected values are predicted by probability. #DataViz #GIS #PublicHealth

#30DayMapChallenge 2025 Day15 - FIRE New map out today! 🔥 Created using NASA’s FIRMS tool, which provides real-time global fire detections from satellite data. An impressive resource for anyone working with spatial analysis and climate. #dataviz #GIS #FIRMS #NASA #wildfires

🗺️ Day 14 of #30DayMapChallenge — Rome OSM Data in R Clean palette for highways, rivers, hospitals and bus stops and a simple setup: • getbb("Rome, Italy") • opq() + add_osm_feature() • geom_sf() to layer the city #rstats #dataviz #geospatial

🗺️ Day 13: 10-minute map I downloaded a ready map from @IHME_UW showing Changes in DALYs due to rabies (1990–2023). Even in a few minutes, a map can tell a powerful story #30DayMapChallenge #DataViz #GBD2023

Join us for the next @romerusersgroup.bsky.social Rome R Users Group event! 📅 Date: Wednesday, November 27 ⏰ Time: 6:00 PM CET 🗺️ R for Geospatial Predictive Mapping: Practical Workflows for Reliable Spatial Predictions Speaker: Jakub Nowosad www.meetup.com/rome-r-users...

🌍 #30DayMapChallenge Day 12 | Map from 2125 Projected world population to 2125 using UN data + ARIMA forecasts, shown with the Equal Earth projection — an equal-area view that keeps countries’ true proportions. Growth in Africa & South Asia, decline in Europe. #RStats #DataViz

🗺️ #30DayMapChallenge 2025 — Day 11: Minimal 🇮🇹 Italy, in the Goode Homolosine projection. #RStats #DataViz #ggplot2 #sf

🌬️ Day 10 – Air For #30DayMapChallenge I explored average monthly wind speed using WorldClim data. Each frame shows mean wind speed (m/s) around the world — from calm zones to powerful currents. 🗺️ Animated in #RStats with terra, ggplot2, and gganimate. #DataViz #ClimateData

Day 9 — Analog 🪶 Scenographia Systematis Copernicani — a 16th-century depiction of the heliocentric world system. Nicolaus Copernicus placed the Sun near the center of the Universe, forever changing our cosmic map. ☀️🌍✨ #30DayMapChallenge #Analog #MapHistory #Cartography

🎨 Recording now live! Developing Your #DataVisualisation Skills in #ggplot2 with @nrennie.bsky.social Watch the creative process exploring the #TidyTuesday cats dataset 🐈 📚 Materials & links: 🔗 nrennie.rbind.io/talks/rladies-rome-ggplot2 #RLadies #ggplot2 #TidyTuesday @fgazzelloni.bsky.social

🏙️ #30DayMapChallenge Day 8: Urban Today’s map explores the heart of New York City — a view of buildings, roads, and parks around Central Park, blending the city’s structure and green spaces. #rstats #dataviz #urbanplanning #nyc

Day 7 – Accessibility 🌍 Travel distance to the nearest hospital across Spain using OpenStreetMap data, revealing spatial inequalities affecting health outcomes. Explore more: bookdown.org/fede_gazzell... #30DayMapChallenge #Accessibility #RStats #HealthData #SpatialAnalysis

Jumping into the #30DayMapChallenge 2025 💜 Loving the creativity and maps everyone is sharing so far — such a great way to learn, explore, and connect through spatial data! 🌍🗺️ #DataViz #MappingCommunity

Day 6 – Dimension 🌍 | #30DayMapChallenge Health is complex and multidimensional. Central Africa ranks lowest, showing how health understanding varies with chosen dimensions. 🗺️ Code and More: bookdown.org/fede_gazzell... #RStats #dataviz #health #DataScience #30daymapchallenge

Day 4 – My Data 🇮🇹🇫🇷🇩🇪 - corrected version This map compares 2011–2021 mortality rates in Italy, France, and Germany for four chronic diseases: Alzheimer’s, COPD, diabetes and kidney diseases, and stroke. Code and More: bookdown.org/fede_gazzell... #30DayMapChallenge #RStats #GBD #DataViz

Day 5 – Earth 🌍 Mapping Suicide Mortality Across the Globe Age-standardized suicide death rates, 1990–2021 A global view of how suicide mortality varies by region, highlighting progress and ongoing disparities. Code and More: bookdown.org/fede_gazzell... #30DayMapChallenge

Day 4 – My Data 🇮🇹🇫🇷🇪🇸 This map compares 2011–2021 mortality rates in Italy, France, and Spain for four chronic diseases: Alzheimer’s, COPD, diabetes and kidney diseases, and stroke. Code and More: bookdown.org/fede_gazzell... #30DayMapChallenge #RStats #GBD #DataViz #PublicHealth

🚨 Day 3 of #30DayMapChallenge is live! Global polygons and how to make them render correctly across projections. Repairing the geometries, and splitting multipolygons. More insights: bookdown.org/fede_gazzell... #DataViz #RStats #SpatialAnalysis #Maps #hmsidwR

🚨 Day 2 of #30DayMapChallenge is live! Connections with lines 🌍 — from Wuhan to affected countries, using straight lines, great-circle curves, and flight-route style arcs. More insights: bookdown.org/fede_gazzell... #DataViz #RStats #SpatialAnalysis #Maps #hmsidwR

🌍 Day 1: Points Starting #30DayMapChallenge 2025 with a map of DALYs (Disability-Adjusted Life Years) across countries — each point marks a population-weighted centroid, showing where health burdens hit hardest. R packages: {hmsidwR}, {sf}, {tidyverse} #rspatials #rstats

Order your copy: www.amazon.com/Health-Metri... #healthmetrics #datascience #Rprogramming #machinelearning #newbook

🔥 Exciting news! 🎥 The recording of the Using Python Within Stata talk is now available for you to watch. You can access it through the following link: www.youtube.com/watch?v=9-79... 🤗 Don't miss the opportunity to gain valuable insights and revisit important discussions.

🔔 Reminder: Our upcoming event is starting now! 📅 Python within Stata Join Dr. Chuck Huber to delve into Python-Stata integration and cross-tool workflows with insights from the R community. ✅ Confirm your RSVP on Meetup: 👉 www.meetup.com/rladies-rome...

🔔 Reminder: Our upcoming event is tomorrow! 📅 Python in Stata 🗓️ Mon, 29 Sep 2025 ⏰ 18:00 CEST Join Dr. Chuck Huber to delve into Python-Stata integration and cross-tool workflows with insights from the R community. ✅ Confirm your RSVP on Meetup: 👉 www.meetup.com/rladies-rome...

📢 Missed our workshop with @DerekSollberger on Interactive Dashboards with Quarto + Shiny? ✅ Recording is LIVE! 🎥 Watch: www.youtube.com/watch?v=N1BB... 📝 Blog: rladiesrome.org/talks/2025/m... Build dashboards with R, Quarto, Shiny & maps! #RLadies #RStats #Quarto #DataViz

📊 Build interactive dashboards with R, Shiny & Quarto with @DerekSollberger ! Learn to filter, sort, & visualize data with style—perfect for research teams, businesses, & more. 📅 Don’t miss it! 🔗 www.meetup.com/rladies-rome... #RStats #Shiny #Quarto #DataViz #RLadiesRome @fgazzelloni

🎥 Recording now available! Couldn’t make it to our latest R-Ladies Rome event? You can now watch the full talk (in Italian) by Rita Giordano (@rgiordano79) Watch the full video here: rladiesrome.org/talks/2025/m... @fgazzelloni #RLadies #RLadiesRome #RStats #HealthData #DataViz

Partecipa al talk di Rita Giordano sull'importanza di comunicare i dati sanitari in modo chiaro e utile per i pazienti. Scopri come visualizzazioni innovative possono aiutare chi affronta diagnosi e terapie. Non perdere questo evento in italiano! RSVP: www.meetup.com/rladies-rome...

Workshop materials are available in the following repository: github.com/RamiKrispin/... Thanks to the meetup organizers - @fgazzelloni.bsky.social and Refaela Ribeiro Lucas for the invite!

I was corresponding with a scientist last week who was skeptical that a biased estimate could be better than an unbiased one. I cited the usual reasons. And here is Numberphile right on time with a new episode about Stein's paradox: www.youtube.com/watch?v=FUQw...

🎥 Missed @ramikrispin.bsky.social @rladiesrome.bsky.social on using linear regression for forecasting time series? No worries! Catch the beginner-friendly session on YouTube Enhance your skills now read our blog post and watch the recording: 👉 rladiesrome.org/talks/2025/m... #Rstats #timeseries