Federica Gazzelloni
@fgazzelloni.bsky.social
#30DayMapChallenge | Book Author | Data Scientist |Statistician & R-enthusiast
🤩👇🏻 Let's get connected! 👇🏻🤩
🤩👇🏻 Let's get connected! 👇🏻🤩
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
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
November 18, 2025 at 9:02 PM
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
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
Climate Change Data - Yearly AVG Temp at Weather Stations.
#30DayMapChallenge #Day17 #NewTool #FeltMap
November 17, 2025 at 9:24 PM
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
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
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
November 16, 2025 at 5:22 PM
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
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
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
November 16, 2025 at 9:57 AM
#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
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
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
November 15, 2025 at 7:58 PM
🗺️ 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
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
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
November 13, 2025 at 5:46 PM
🗺️ 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
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
🌍 #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
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
November 12, 2025 at 11:28 PM
🌍 #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
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
🇮🇹 Italy, in the Goode Homolosine projection.
#RStats #DataViz #ggplot2 #sf
November 11, 2025 at 7:33 AM
🗺️ #30DayMapChallenge 2025 — Day 11: Minimal
🇮🇹 Italy, in the Goode Homolosine projection.
#RStats #DataViz #ggplot2 #sf
🇮🇹 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
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
November 10, 2025 at 6:09 PM
🌬️ 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
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
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
November 9, 2025 at 6:42 PM
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
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
🏙️ #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
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
November 8, 2025 at 9:57 AM
🏙️ #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
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
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
November 7, 2025 at 11:39 PM
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
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
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
Central Africa ranks lowest, showing how health understanding varies with chosen dimensions. 🗺️
Code and More: bookdown.org/fede_gazzell...
#RStats #dataviz #health #DataScience #30daymapchallenge
November 6, 2025 at 8:53 PM
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
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
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
November 6, 2025 at 2:32 PM
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
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
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
November 5, 2025 at 10:09 PM
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
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
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
November 5, 2025 at 10:07 PM
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
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
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
November 3, 2025 at 6:23 PM
🚨 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
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
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
November 2, 2025 at 9:35 PM
🚨 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
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
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
November 1, 2025 at 11:57 PM
🌍 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
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
www.amazon.com/Health-Metri...
#healthmetrics #datascience #Rprogramming #machinelearning #newbook
October 28, 2025 at 11:27 AM
Next @rladiesrome.bsky.social event in partnership with @pydata.bsky.social Roma Capitale and Rome R Users Group. Join us sign up now:
meetu.ps/e/P8D2d/RQcH...
In person at @ingvterremoti.bsky.social and online on ZOOM 🚀
meetu.ps/e/P8D2d/RQcH...
In person at @ingvterremoti.bsky.social and online on ZOOM 🚀
June 10, 2025 at 12:18 PM
Next @rladiesrome.bsky.social event in partnership with @pydata.bsky.social Roma Capitale and Rome R Users Group. Join us sign up now:
meetu.ps/e/P8D2d/RQcH...
In person at @ingvterremoti.bsky.social and online on ZOOM 🚀
meetu.ps/e/P8D2d/RQcH...
In person at @ingvterremoti.bsky.social and online on ZOOM 🚀
📢 My book, “Health Metrics and the Spread of Infectious Diseases”, is online!
📖✨ Dive into the world of DALYs, YLLs, forecasting, and data-driven public health insights.
#PublicHealth #HealthMetrics #Epidemiology #InfectiousDiseases
🔗 bookdown.org/fede_gazzell...
😊
📖✨ Dive into the world of DALYs, YLLs, forecasting, and data-driven public health insights.
#PublicHealth #HealthMetrics #Epidemiology #InfectiousDiseases
🔗 bookdown.org/fede_gazzell...
😊
February 15, 2025 at 6:29 PM
📢 My book, “Health Metrics and the Spread of Infectious Diseases”, is online!
📖✨ Dive into the world of DALYs, YLLs, forecasting, and data-driven public health insights.
#PublicHealth #HealthMetrics #Epidemiology #InfectiousDiseases
🔗 bookdown.org/fede_gazzell...
😊
📖✨ Dive into the world of DALYs, YLLs, forecasting, and data-driven public health insights.
#PublicHealth #HealthMetrics #Epidemiology #InfectiousDiseases
🔗 bookdown.org/fede_gazzell...
😊
Concluding 🧶 #30DayMapChallenge 2024 with a collage of all open source R made maps.
Code here: 🔗 https://buff.ly/4iisAsC
🤓 For a full experience and more than 300 plots with related code have a look here:
🔗 https://buff.ly/3Zgptc7
(Unlocking the Power of Data Visualization with R)
#dataviz
Code here: 🔗 https://buff.ly/4iisAsC
🤓 For a full experience and more than 300 plots with related code have a look here:
🔗 https://buff.ly/3Zgptc7
(Unlocking the Power of Data Visualization with R)
#dataviz
December 2, 2024 at 4:05 PM
Concluding 🧶 #30DayMapChallenge 2024 with a collage of all open source R made maps.
Code here: 🔗 https://buff.ly/4iisAsC
🤓 For a full experience and more than 300 plots with related code have a look here:
🔗 https://buff.ly/3Zgptc7
(Unlocking the Power of Data Visualization with R)
#dataviz
Code here: 🔗 https://buff.ly/4iisAsC
🤓 For a full experience and more than 300 plots with related code have a look here:
🔗 https://buff.ly/3Zgptc7
(Unlocking the Power of Data Visualization with R)
#dataviz
🌟 Join me for an insightful talk on 'Learning Together with Shiny Book Clubs' at #ShinyConf24!
🗓️ When: Today - April 18, 5:10-5:20 PM CET
If you haven't done so already register here: 👇
🔗 events.ringcentral.com/events/shiny...
10% Promotional code: SPEAKSAVE
See you there!
🗓️ When: Today - April 18, 5:10-5:20 PM CET
If you haven't done so already register here: 👇
🔗 events.ringcentral.com/events/shiny...
10% Promotional code: SPEAKSAVE
See you there!
April 18, 2024 at 9:38 AM
🌟 Join me for an insightful talk on 'Learning Together with Shiny Book Clubs' at #ShinyConf24!
🗓️ When: Today - April 18, 5:10-5:20 PM CET
If you haven't done so already register here: 👇
🔗 events.ringcentral.com/events/shiny...
10% Promotional code: SPEAKSAVE
See you there!
🗓️ When: Today - April 18, 5:10-5:20 PM CET
If you haven't done so already register here: 👇
🔗 events.ringcentral.com/events/shiny...
10% Promotional code: SPEAKSAVE
See you there!
🌟 Join me for an insightful talk on "Learning Together with Shiny Book Clubs" at @ShinyConf 2024! Discover collaborative learning in data science.
When: April 18, 5:10-5:20 PM CET.
If you haven't done so already register here: www.shinyconf.com/shinyconf-20...
#DataScience #ShinyApps
When: April 18, 5:10-5:20 PM CET.
If you haven't done so already register here: www.shinyconf.com/shinyconf-20...
#DataScience #ShinyApps
April 16, 2024 at 6:29 PM
🌟 Join me for an insightful talk on "Learning Together with Shiny Book Clubs" at @ShinyConf 2024! Discover collaborative learning in data science.
When: April 18, 5:10-5:20 PM CET.
If you haven't done so already register here: www.shinyconf.com/shinyconf-20...
#DataScience #ShinyApps
When: April 18, 5:10-5:20 PM CET.
If you haven't done so already register here: www.shinyconf.com/shinyconf-20...
#DataScience #ShinyApps