Latest posts tagged with #dataViz on Bluesky
📊 New Rome R Users Group event: Design First, Code Second
In our next meetup, Joseph Barbier will explore how to improve visual storytelling, and make AI coding tools more effective.
📅 Join us: www.meetup.com/rome-r-users...
#RStats #DataViz #DataScience #RomeRUsersGroup #AI #OpenSource
Resized shaded map of Saskatoon, Canada.
A fragment from the shaded map of Saskatoon, Canada.
A fragment from the shaded map of Saskatoon, Canada.
A fragment from the shaded map of Saskatoon, Canada.
A very detailed shaded map of Saskatoon, Canada. The full map is 17560 x 16384 pixels with 0.5 m resolution and is available at https://shadedmaps.github.io Data source: https://open.canada.ca [Natural Resources Canada]. #lidar #shadedmaps #gischat #dataviz
📊 Transform your data into stunning Excel dashboards!
Custom KPI visuals, charts & insights tailored for your business – Excel or Google Sheets.
Fast pro delivery.
Hire now: go.fiverr.com/visit/?bta=2...
#ExcelDashboard #DataViz #BusinessAnalytics #KPIs
Sims 4 CC update!
Two #dataviz posters and a #Rstats onesie based on @allisonhorst.bsky.social and @dgkeyes.com’s future R superstar aardvark! 😍
allisonhorst.com/everything-e...
library(tidyplots) spendings |> tidyplot(x = category, y = amount, color = category) |> add_sum_bar(alpha = 0.2) |> add_sum_dash() |> add_sum_value(accuracy = 1, color = "black") |> adjust_x_axis(rotate_labels = TRUE)
This is how you can add sum values in #tidyplots 🤩
#rstats #dataviz #phd
Mapping Nerds #dataviz #Geospatial
Cc: @chanface.bsky.social @drxeo.eu @ratiocity.bsky.social @tdubolyou.bsky.social @messyurbanisms.bsky.social @chrisjamesdrew.bsky.social @jocelynsquires.bsky.social @helenwzlee.bsky.social @blairscorgie.bsky.social @laurencelui.ca
h/t @uoftcities.bsky.social
Stop scrolling lists—see the world! 🌍 Master Dynamic Map Visuals in Excel.
📃 scriptdatainsights.blogspot.com/2026/03/exce...
🎞 youtube.com/shorts/riJZe...
🛒 scriptdatainsights.gumroad.com/l/march-skil...
Do maps make data easier to read? 👇
#Excel #DataViz #Analytics #Tech #ExcelTips
Stop building dashboards in isolation. On 2026-03-19, Shubhangi Goyal shares techniques to put the customer at the centre of your #PowerBI design process. Walk away with tools and frameworks to turn dashboards into decision-driving assets. swfta.uk/ug-2026-03 #DataViz #Analytics
A map with locations from the Parks Closure Status Due to COVID-19: Playgrounds dataset. Please visit the link for full details.
Parks Closure Status Due to COVID-19: Playgrounds
Source: https://data.cityofnewyork.us/d/a4qt-mpr5
#nyc #data #dataviz
Relief visualization in perspective style showing elevation data from ᕿᑎᕐᒥᐅᑦ Kitikmeot Region at coordinates 66.1277, -108.5680 with elevation range from 306m to 430m.
//\ Relief #273
Location: ᕿᑎᕐᒥᐅᑦ Kitikmeot Region, ᓄᓇᕗᑦ Nunavut, Canada
Coordinates: 66.1277, -108.5680
Elevation Range: 306m to 430m
Terrain type: rolling
#ReliefOfTheDay #DataViz #Geography
99 bills have been introduced, 0 bills passed the House, 0 bills passed the Senate, 0 bills passed both chambers, 0 resolutions have been agreed to, 1 bills are being considered, and 0 bills have been enacted.
Looking at the last 100 bills in the US #government. #dataviz #civictech
A map with locations from the One-Star LTC Map dataset. Please visit the link for full details.
One-Star LTC Map
Source: https://data.nj.gov/d/han8-kybn
#nj #data #dataviz
¡Orgullo regional! 🇵🇪 Perú se corona como la 3ra mejor cocina del mundo en 2026 según TasteAtlas. México cae al puesto 11, saliendo del Top 10 global. La gastronomía sigue siendo uno de los activos más fuerte de la identidad de LATAM. 🍽️📊
#DataViz #Peru #Gastronomia #LATAM
Regional pride! 🇵🇪 Peru ranks as the 3rd best cuisine globally in 2026, TasteAtlas. Mexico drops to 11th, falling out of the global Top 10. Gastronomy remains Latin America's most powerful identity driver. 🍽️📊
#DataViz #Peru #Gastronomy #TasteAtlas
A map with locations from the State Parole Board: Agency Locations Map dataset. Please visit the link for full details.
State Parole Board: Agency Locations Map
Source: https://data.nj.gov/d/f88c-7viw
#nj #data #dataviz
Three stacked bar charts showing the distribution of probability estimates for "Highly Likely" (green) and "Highly Unlikely" (orange) across three groups of English speakers. The x-axis runs from 0 to 100%. For native English speakers (top panel), estimates for "Highly Likely" cluster around 80–95% and for "Highly Unlikely" around 1–10%, with considerable spread across the range. The fluent non-native panel (middle) shows a similar pattern. The non-fluent panel (bottom) is more concentrated at the extremes, with no responses in the middle range. Color intensity represents the proportion of responses within each group.
This week's #TidyTuesday looks at how people interpret "highly likely" and "highly unlikely", based on the CAPphrase survey by @adamkucharczyk.bsky.social. Non-fluent speakers tend to take the words at face value (though much smaller sample)
Code: github.com/gkaramanis/t...
#RStats #dataviz
library(tidyplots) study |> tidyplot(x = treatment, y = score, color = treatment) |> add_violin() |> add_data_points_beeswarm(white_border = TRUE) |> reorder_x_axis_levels("C", "D", "A", "B")
This is how you can reorder axis levels in #tidyplots 🚀
#rstats #dataviz #phd
A map with locations from the Map-NJ Office of Broadband Connectivity dataset. Please visit the link for full details.
Map-NJ Office of Broadband Connectivity
Source: https://data.nj.gov/d/kqie-icyx
#nj #data #dataviz
Relief visualization in perspective style showing elevation data from Maripasoula at coordinates 2.2500, -54.0045 with elevation range from 202m to 390m.
//\ Relief #272
Location: Maripasoula, Guyane, France
Coordinates: 2.2500, -54.0045
Elevation Range: 202m to 390m
Terrain type: hilly
#ReliefOfTheDay #DataViz #Geography
99 bills have been introduced, 0 bills passed the House, 0 bills passed the Senate, 0 bills passed both chambers, 0 resolutions have been agreed to, 1 bills are being considered, and 0 bills have been enacted.
Analyzing the last 100 bills in the US #government. #dataviz #civictech
💪 The mighty R library, ggmap, helps you visualize data geospatially.
👇 We teach you how to make great looking data with Stadia Maps.
docs.stadiamaps.com/tutorials/ge...
#RStats #DataViz #Geospatial #Tidyverse
1/3 Sur un #R de #piday, journée internationale des #mathématiques sur le thème mathématiques et espoir, ma création mosaïque mathématique autour de π en utilisant ses décimales (N=20000, n=1).
#rstats #mathart #dataviz
A map with locations from the No Idling Pledge Map dataset. Please visit the link for full details.
No Idling Pledge Map
Source: https://data.nj.gov/d/45a5-ngdt
#nj #data #dataviz
Here are the graphics illustrating the level of customization users can have. The most noticeable being the colormaps, users can use colormaps that exist in matplotlib or create their own custom colormap (OSCC is the default custom color map). #python #data #dataviz
A line graph, titiled Plate XIV. Showing relation of height (Y axis) to weight (X axis) in English boys. Two curves are drawn, one labeled 'Laboring classes' the other 'Non laboring classes'
Cover of Bowditch's book, The Growth of Children
Photo of Henry Pickering Bowditch
#TodayinHistory #dataviz #Onthisday #OTD 📊
💀Mar 13, 1911 Henry Pickering Bowditch died in Boston, USA 🇺🇸
1877: Extensive statistical study of 24,500 children to improve school practice; early ideas of correlation and regression
Priestley's 1765 Chart of Biography covers a vast timespan, from 1200 BC to 1800 AD, and includes two thousand names. Priestley organized his list into six categories: Statesman and Warriors; Divines and Metaphysicians; Mathematicians and Physicians ... It's goal was to allow students of history to "see" relationships across time and domain.
Priestley's 1769 A New Chart of History, dedicated to Benjamin Franklin. It lists events in 106 separate locations in horizontal bands labeled by country from Great BGritain at the bottom the America at the top. Empires, like the Roman Empire are shaded, spanning the time and geography they dominated. it illustrates Priestley's belief that the entire world's history was significant,
Color portrait of Joseph Priestley
#TodayinHistory #dataviz #Onthisday #OTD 📊
🎂Mar 13, 1733 Joseph Priestley born in Leeds, England 🇬🇧
Most famous for discovering oxygen, but also ---
1765: Historical timeline (life spans of 2,000 famous people, 1200 B.C. to 1750 A.D.)
Bon, je n'ai pas reçu de réponse de la Paduteam, donc j'ai publié le code du Saint Graphique ici: https://github.com/JnthnBS/saint-graphique
Pour rappel, c'est un graphique qui permet de faire de la sociologie électorale en situant les groupes socio-professionnels sur deux axes: capital […]
This weekend Darwin's wet season rain will likely reach 2000 mm. Wow. As much of northern Australia is flooded, or in flood watch, more rains to come... #dataviz #hydrology
