#dataviz — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #dataviz, aggregated by home.social.
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Curator: @bensstats
https://DSLC.io welcomes you to week 27 of #TidyTuesday! We're exploring UFC Athletes and Fight Data!📁 https://tidytues.day/2026/2026-07-07
📰 https://github.com/benyamindsmith/fightr/Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
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Curator: @bensstats
https://DSLC.io welcomes you to week 27 of #TidyTuesday! We're exploring UFC Athletes and Fight Data!📁 https://tidytues.day/2026/2026-07-07
📰 https://github.com/benyamindsmith/fightr/Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
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Curator: @bensstats
https://DSLC.io welcomes you to week 27 of #TidyTuesday! We're exploring UFC Athletes and Fight Data!📁 https://tidytues.day/2026/2026-07-07
📰 https://github.com/benyamindsmith/fightr/Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
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Curator: @bensstats
https://DSLC.io welcomes you to week 27 of #TidyTuesday! We're exploring UFC Athletes and Fight Data!📁 https://tidytues.day/2026/2026-07-07
📰 https://github.com/benyamindsmith/fightr/Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
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Curator: @bensstats
https://DSLC.io welcomes you to week 27 of #TidyTuesday! We're exploring UFC Athletes and Fight Data!📁 https://tidytues.day/2026/2026-07-07
📰 https://github.com/benyamindsmith/fightr/Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
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RE: https://fediscience.org/@ZLabe/116872862232023902
😣
#ZackLabe #DataViz #DataVisualization
#climate #ClimateScience #climatechange #ClimateEmergency #ClimateCrisis #ClimateBreakdown #ClimateDisruption #globalWarming #globalHeating #ExtremeWeather #polycrisis #EcosystemCollapse #systemcollapse #ecocide #fossilfuels
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RE: https://fediscience.org/@ZLabe/116872862232023902
😣
#ZackLabe #DataViz #DataVisualization
#climate #ClimateScience #climatechange #ClimateEmergency #ClimateCrisis #ClimateBreakdown #ClimateDisruption #globalWarming #globalHeating #ExtremeWeather #polycrisis #EcosystemCollapse #systemcollapse #ecocide #fossilfuels
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RE: https://fediscience.org/@ZLabe/116872862232023902
😣
#ZackLabe #DataViz #DataVisualization
#climate #ClimateScience #climatechange #ClimateEmergency #ClimateCrisis #ClimateBreakdown #ClimateDisruption #globalWarming #globalHeating #ExtremeWeather #polycrisis #EcosystemCollapse #systemcollapse #ecocide #fossilfuels
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RE: https://fediscience.org/@ZLabe/116872862232023902
😣
#ZackLabe #DataViz #DataVisualization
#climate #ClimateScience #climatechange #ClimateEmergency #ClimateCrisis #ClimateBreakdown #ClimateDisruption #globalWarming #globalHeating #ExtremeWeather #polycrisis #EcosystemCollapse #systemcollapse #ecocide #fossilfuels
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RE: https://fediscience.org/@ZLabe/116872862232023902
😣
#ZackLabe #DataViz #DataVisualization
#climate #ClimateScience #climatechange #ClimateEmergency #ClimateCrisis #ClimateBreakdown #ClimateDisruption #globalWarming #globalHeating #ExtremeWeather #polycrisis #EcosystemCollapse #systemcollapse #ecocide #fossilfuels
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No Idling Pledge Map
Source: https://data.nj.gov/d/45a5-ngdt
#nj #data #dataviz -
No Idling Pledge Map
Source: https://data.nj.gov/d/45a5-ngdt
#nj #data #dataviz -
Analyzing the last 100 bills in the US #government. #dataviz #civictech
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Analyzing the last 100 bills in the US #government. #dataviz #civictech
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📣 New paper: Designing for biodiversity data in place: Species, encounters, and interfaces
This open access paper presents our work developing ALA Lens for the Atlas of Living Australia.
It shows how conventional interfaces can hide the taxonomic and spatial diversity that matters in biodiversity data, and how Lens reveals the relationships between species, people, and place.
Co-authored with my @ANUResearch colleague Adrian Mackenzie and ALA collaborators Martin Westgate and Kylie Morrow 🙏
Just out in People and Nature journal, part of a special collection on the "Digital Dimensions of Nature Recovery"
https://besjournals.onlinelibrary.wiley.com/doi/10.1002/pan3.70384
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📣 New paper: Designing for biodiversity data in place: Species, encounters, and interfaces
This open access paper presents our work developing ALA Lens for the Atlas of Living Australia.
It shows how conventional interfaces can hide the taxonomic and spatial diversity that matters in biodiversity data, and how Lens reveals the relationships between species, people, and place.
Co-authored with my @ANUResearch colleague Adrian Mackenzie and ALA collaborators Martin Westgate and Kylie Morrow 🙏
Just out in People and Nature journal, part of a special collection on the "Digital Dimensions of Nature Recovery"
https://besjournals.onlinelibrary.wiley.com/doi/10.1002/pan3.70384
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📣 New paper: Designing for biodiversity data in place: Species, encounters, and interfaces
This open access paper presents our work developing ALA Lens for the Atlas of Living Australia.
It shows how conventional interfaces can hide the taxonomic and spatial diversity that matters in biodiversity data, and how Lens reveals the relationships between species, people, and place.
Co-authored with my @ANUResearch colleague Adrian Mackenzie and ALA collaborators Martin Westgate and Kylie Morrow 🙏
Just out in People and Nature journal, part of a special collection on the "Digital Dimensions of Nature Recovery"
https://besjournals.onlinelibrary.wiley.com/doi/10.1002/pan3.70384
-
📣 New paper: Designing for biodiversity data in place: Species, encounters, and interfaces
This open access paper presents our work developing ALA Lens for the Atlas of Living Australia.
It shows how conventional interfaces can hide the taxonomic and spatial diversity that matters in biodiversity data, and how Lens reveals the relationships between species, people, and place.
Co-authored with my @ANUResearch colleague Adrian Mackenzie and ALA collaborators Martin Westgate and Kylie Morrow 🙏
Just out in People and Nature journal, part of a special collection on the "Digital Dimensions of Nature Recovery"
https://besjournals.onlinelibrary.wiley.com/doi/10.1002/pan3.70384
-
📣 New paper: Designing for biodiversity data in place: Species, encounters, and interfaces
This open access paper presents our work developing ALA Lens for the Atlas of Living Australia.
It shows how conventional interfaces can hide the taxonomic and spatial diversity that matters in biodiversity data, and how Lens reveals the relationships between species, people, and place.
Co-authored with my @ANUResearch colleague Adrian Mackenzie and ALA collaborators Martin Westgate and Kylie Morrow 🙏
Just out in People and Nature journal, part of a special collection on the "Digital Dimensions of Nature Recovery"
https://besjournals.onlinelibrary.wiley.com/doi/10.1002/pan3.70384
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Map of Reports by the Office of the State Comptroller in 2023
Source: https://data.nj.gov/d/hh2f-37ku
#nj #data #dataviz -
Map of Reports by the Office of the State Comptroller in 2023
Source: https://data.nj.gov/d/hh2f-37ku
#nj #data #dataviz -
Map-NJ Office of Broadband Connectivity
Source: https://data.nj.gov/d/kqie-icyx
#nj #data #dataviz -
Map-NJ Office of Broadband Connectivity
Source: https://data.nj.gov/d/kqie-icyx
#nj #data #dataviz -
DOB Safety Violations
Source: https://data.cityofnewyork.us/d/855j-jady
#nyc #data #dataviz -
DOB Safety Violations
Source: https://data.cityofnewyork.us/d/855j-jady
#nyc #data #dataviz -
DOB Safety Violations
Source: https://data.cityofnewyork.us/d/855j-jady
#nyc #data #dataviz -
DOB Safety Violations
Source: https://data.cityofnewyork.us/d/855j-jady
#nyc #data #dataviz -
DOB Safety Violations
Source: https://data.cityofnewyork.us/d/855j-jady
#nyc #data #dataviz -
Tableau is so cool. For example, playing with filters to see…
> "How much headcount was cut from restaurant employment by COVID-19 lockdowns?"
Looks like Q2 of 2020 was roughly equivalent to Q4 of 1997.
———
Data source = US Bureau of Labor Statistics.
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Tableau is so cool. For example, playing with filters to see…
> "How much headcount was cut from restaurant employment by COVID-19 lockdowns?"
Looks like Q2 of 2020 was roughly equivalent to Q4 of 1997.
———
Data source = US Bureau of Labor Statistics.
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Tableau is so cool. For example, playing with filters to see…
> "How much headcount was cut from restaurant employment by COVID-19 lockdowns?"
Looks like Q2 of 2020 was roughly equivalent to Q4 of 1997.
———
Data source = US Bureau of Labor Statistics.
-
Tableau is so cool. For example, playing with filters to see…
> "How much headcount was cut from restaurant employment by COVID-19 lockdowns?"
Looks like Q2 of 2020 was roughly equivalent to Q4 of 1997.
———
Data source = US Bureau of Labor Statistics.
-
Tableau is so cool. For example, playing with filters to see…
> "How much headcount was cut from restaurant employment by COVID-19 lockdowns?"
Looks like Q2 of 2020 was roughly equivalent to Q4 of 1997.
———
Data source = US Bureau of Labor Statistics.
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No Idling Pledge Map
Source: https://data.nj.gov/d/45a5-ngdt
#nj #data #dataviz -
No Idling Pledge Map
Source: https://data.nj.gov/d/45a5-ngdt
#nj #data #dataviz -
Starting with the round of 16, the matches will feature a special focus on the winning teams. The posters will be colored in the winner's team colors.
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Starting with the round of 16, the matches will feature a special focus on the winning teams. The posters will be colored in the winner's team colors.
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Starting with the round of 16, the matches will feature a special focus on the winning teams. The posters will be colored in the winner's team colors.
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Starting with the round of 16, the matches will feature a special focus on the winning teams. The posters will be colored in the winner's team colors.
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Starting with the round of 16, the matches will feature a special focus on the winning teams. The posters will be colored in the winner's team colors.
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Hello #ggplot2 #dataviz experts out there!
I have created a map of Indonesia with some labels for a friend's publication (left), but she would ideally like the labels to be around the edges of the map (as in the second figure). I am currently using ggrepel::geom_label_repe() to ensure that the labels don't overlap. Any ideas how I could achieve something resembling the second figure?
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Hello #ggplot2 #dataviz experts out there!
I have created a map of Indonesia with some labels for a friend's publication (left), but she would ideally like the labels to be around the edges of the map (as in the second figure). I am currently using ggrepel::geom_label_repe() to ensure that the labels don't overlap. Any ideas how I could achieve something resembling the second figure?
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Hello #ggplot2 #dataviz experts out there!
I have created a map of Indonesia with some labels for a friend's publication (left), but she would ideally like the labels to be around the edges of the map (as in the second figure). I am currently using ggrepel::geom_label_repe() to ensure that the labels don't overlap. Any ideas how I could achieve something resembling the second figure?
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Hello #ggplot2 #dataviz experts out there!
I have created a map of Indonesia with some labels for a friend's publication (left), but she would ideally like the labels to be around the edges of the map (as in the second figure). I am currently using ggrepel::geom_label_repe() to ensure that the labels don't overlap. Any ideas how I could achieve something resembling the second figure?
-
Hello #ggplot2 #dataviz experts out there!
I have created a map of Indonesia with some labels for a friend's publication (left), but she would ideally like the labels to be around the edges of the map (as in the second figure). I am currently using ggrepel::geom_label_repe() to ensure that the labels don't overlap. Any ideas how I could achieve something resembling the second figure?
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One-Star LTC Map
Source: https://data.nj.gov/d/han8-kybn
#nj #data #dataviz -
One-Star LTC Map
Source: https://data.nj.gov/d/han8-kybn
#nj #data #dataviz -
NYPD Criminal Court Summons Incident Level Data (Year To Date)
Source: https://data.cityofnewyork.us/d/mv4k-y93f
#nyc #data #dataviz -
NYPD Criminal Court Summons Incident Level Data (Year To Date)
Source: https://data.cityofnewyork.us/d/mv4k-y93f
#nyc #data #dataviz -
NYPD Criminal Court Summons Incident Level Data (Year To Date)
Source: https://data.cityofnewyork.us/d/mv4k-y93f
#nyc #data #dataviz -
NYPD Criminal Court Summons Incident Level Data (Year To Date)
Source: https://data.cityofnewyork.us/d/mv4k-y93f
#nyc #data #dataviz -
NYPD Criminal Court Summons Incident Level Data (Year To Date)
Source: https://data.cityofnewyork.us/d/mv4k-y93f
#nyc #data #dataviz -
The last 100 bills in the US #government, analyzed! #dataviz #civictech
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The last 100 bills in the US #government, analyzed! #dataviz #civictech
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Map-NJ Office of Broadband Connectivity
Source: https://data.nj.gov/d/kqie-icyx
#nj #data #dataviz -
Map-NJ Office of Broadband Connectivity
Source: https://data.nj.gov/d/kqie-icyx
#nj #data #dataviz -
Acute-Care Facility Locations
Source: https://data.nj.gov/d/ars4-hngc
#nj #data #dataviz -
Acute-Care Facility Locations
Source: https://data.nj.gov/d/ars4-hngc
#nj #data #dataviz -
NJ Emission Repair Facilities
Source: https://data.nj.gov/d/uifj-t9ku
#nj #data #dataviz -
NJ Emission Repair Facilities
Source: https://data.nj.gov/d/uifj-t9ku
#nj #data #dataviz