Elmera Azadpour

I really liked this idea of using a histogram as a legend in a choropleth map (since land isn't unemployed; people are), so I made a little guide to doing it with #rstats, {ggplot2}, and {patchwork}

www.andrewheiss.com/blog/2025/02...

30 minutes with a stranger Watch hundreds of strangers talk for 30 minutes, and track how their moods change

My latest piece for @puddingviz.bsky.social: 30 minutes with a stranger

Jazz up your ggplots!
‘Useful tricks to elevate your data viz via `ggplot` extension packages in R”
Custom themes, fonts, annotations, arrows & more
By the USGS
waterdata.usgs.gov/blog/ggplot-...
#RStats #ggplot2 #ggplot #Dataviz

#30DayChartChallenge | Day 30 - National Geographic Theme | Great Salt Lake 🛰️

#dataviz #remotesensing #GEE

Done! elmeraa-usgs.github.io/posts/2025-0...

100% - data just wasn't available in the package. After doing some digging, looks like this site does have some data, I can manually add later! Thanks for the reminder :) www.nwslsoccer.com/teams/196746...

Explored some pro women’s soccer data using the `nwslR` package this evening — check out some of these quick #rstats #dataviz using packages like #ggimage and #gtExtras for table making.

& Go SD Wave! 🌊 ⚽️ #nwsl

🔗: elmeraa-usgs.github.io/posts/2025-0...

What appears to be a massive flock of birds in red, purple and blue colours in a pale blue sky. Each "bird" represents a bird species, and their colour represents their conservation status from the IUCN Red List. Around one third of species appear to be near threatened, endangered or extinct

This dataviz is absolutely amazing 😍 Global bird species' conservation status displayed as a massive flock!

By Andrea Garrec, longlisted for the 2024 Information Is Beautiful Awards

www.informationisbeautifulawards.com/showcase/731...

#dataviz 📊🌏🧪🐦🦉🦆🦅

A radial bar chart titled ‘Pixar Film Ratings’ displaying the average ratings of Pixar films based on Rotten Tomatoes, Metacritic, and Critics’ Choice Scores. Each bar represents a film, with lengths corresponding to the score. Bars are color-coded based on CinemaScore grades: gold for A+, green for A, orange for A-, and white for films with no CinemaScore data. The highest-rated film is Toy Story (1995) with 97.5, while the lowest is Cars 2 (2011) with 54.7. Data from {pixarfilms} R package.

Week 10 | #TidyTuesday | Pixar Film Ratings

🔗 github.com/elmeraa-usgs...

#rstats #dataviz #r4ds #ggplot

Five droughts that changed history The U.S. has a long history of droughts that have impacted humans and ecosystems. But in the last 100 years, five periods of drought stand out in their effec...

Check out additional USGS Vizlab products that were also longlisted ⤵️

www.informationisbeautifulawards.com/showcase/761...

www.informationisbeautifulawards.com/showcase/762...

www.informationisbeautifulawards.com/showcase/737...

www.informationisbeautifulawards.com/showcase/738...

Unequal Access to Water Water is essential for life, yet many communities in the Western United States face challenges in accessing sufficient, clean water. Water insecurity arises ...

Grateful to have my work highlighted on the 2024 Information is Beautiful Longlist!

#DataViz #OpenSource #IIB @datavizsociety.bsky.social

www.informationisbeautifulawards.com/showcase/737...

Thanks for the shoutout of "Mapping water insecurity in R with #tidycensus"

waterdata.usgs.gov/blog/acs-maps/

The Middle Ages Follow hundreds of kids as they navigate their treacherous middle school years.

My latest for @puddingviz.bsky.social: The Middle Ages

Read: pudding.cool/2025/02/midd...
Watch: www.youtube.com/watch?v=b4zL...

GitHub - clauswilke/colorblindr: An R package to simulate colorblindness on R figures. An R package to simulate colorblindness on R figures. - clauswilke/colorblindr

🎨✨ colorblindr: Ensuring Accessible #DataViz ✨🎨

Want to make your figs more accessible? colorblindr by Claire D. McWhite & Claus O. Wilke lets you simulate colorblindness in production-ready figures.

🔗 Repo: buff.ly/2UTiByV
🎨 Simulator: buff.ly/4khr0IS

More #Rstats resources, buff.ly/41cFyjY

Slope chart showing the percent of households lacking plumbing in California counties from 2022 to 2023. Humboldt County shows the highest increase, rising above 1.5%, followed by notable increases in Placer, Kings, Mendocino, and Lake counties. Gray lines in the background represent other counties in California. Data source: tidycensus.

Bubble map of the U.S. showing changes in the percentage of households lacking plumbing facilities by county from 2023–2022. Direction of change are represented by circles with green circles indicating a decrease and orange circles indicating an increase, with size reflecting magnitude. Generally, areas of the western U.S. display a decrease in percentage of households lacking plumbing facilities, while pockets of increases are observed across the eastern U.S. We provide arrows and callouts for McKinley County, NM (-0.93%) and Orange County, TX (+2.3%). Data source: tidycensus.

Week 4 | #TidyTuesday | Water Insecurity

🔗 github.com/rfordatascie...

#rstats #dataviz #r4ds #ggplot

spData logo

The shapefiles are gone! 🎉

The {spData} package has officially dropped all datasets in the shapefile format, moving toward modern and efficient geospatial data standards. 🚀🌍

Upgrade your workflows with {spData}: https://buff.ly/4htZ5D3

#rspatial #rstats #GIS #Geocompx

Sitters and Standers The American worker divide: Those who sit, and those who stand

The US workforce can be divided into “sitters” (like programmers and lawyers) and “standers” (like servers and construction workers). In our newest piece, @alv9n.com looks at what we can learn from this labor split.

💻: pudding.cool/2024/11/sitt...
📺: www.youtube.com/watch?v=sE_E...

#TidyTuesday week 4: Water Insecurity 💧

Plumbing facilities are improving in 22 states, and it is getting worse in 28.

#Rstats #dataviz

#TidyTuesday - week 4 - Water Insecurity - and my first time sharing what I've made online. Plot was made using ggplot2, and I fine-tuned the graphics in Illustrator.

Might share my code on GitHub later (after I clean it up a bit) :D

#rstats #ggplot2

#TidyTuesday week 3 - Water Insecurity.
Created this tile map using #Tableau. Thanks to @nnpereira.bsky.social for this week's dataset.
#dataviz

Percentage of households lacking plumbing (2023). Four out of the five U.S. Counties with the highest percentage of households without complete indoor plumbing overlap with the boundaries of the Navajo Nation Reservation and Off-Land Trust Land. The maximum percentage among counties was 3.9%, while the maximum among American Indian/Alaska Native/Native Hawaiian Areas was 5%.

#TidyTuesday week 4 ✅

This week’s data is from the U.S. Census Bureau’s American Community Survey.

I took a look at how the data on lack of indoor plumbing among U.S Counties compares to other census provided geographies, specifically American Indian/Alaska Native/Native Hawaiian Areas.

#rstats

Bar chart showing changes in U.S. county-level water insecurity from 2022 to 2023. The chart reveals that 46% of counties saw increased water insecurity, with 35.5% experiencing a major increase (>50%). 27.6% saw a major decrease, while 16.4% had a moderate decrease, and 10.4% experienced a moderate increase. 10.1% of counties had stable conditions. Annotations highlight that 44% fewer counties were affected by major decreases and 46% more counties became vulnerable to water insecurity.

📊 #TidyTuesday – 2025 W04 | Water Insecurity
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🔗: stevenponce.netlify.app/data_visuali...
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#rstats | #r4ds | #dataviz | #ggplot2

Excited to check out all the #DataViz for this weeks #tidytuesday!

Check out our site to learn more about unequal access to water in the Western U.S: labs.waterdata.usgs.gov/visualizatio...

And our #tidycensus blog post: waterdata.usgs.gov/blog/acs-maps/

#DataViz #EJ #Water #rstats

Stylized illustration of the water cycle of the lower 48 United States, showing the fate of water that enters through precipitation. Most of the water returns to the atmosphere through evapotranspiration, but much of the water ends up in the Atlantic and Pacific Oceans, in Canada, or in the Gulf of Mexico through streamflow.

Map of water limitation in the lower 48 United States by watershed. Areas with relatively high water limitation are in the high plains, Texas, California, and the Mississippi Embayment hydrologic regions.

The U.S. Geological Survey (USGS) Vizlab has just released a new, interactive data visualization website about the USGS National Water Availability Assessment Report and Data Companion. Explore the data and the key findings of the assessment at water.usgs.gov/vizlab/water... #DataViz #rstats #USGS

Earth is in flux Chart gallery highlighting key findings of USGS land change science

Earth is in flux…. see our latest #dataviz project coming from #USGSvizlab labs.waterdata.usgs.gov/visualizatio...

Reproducible Data Science in R: Flexible functions using tidy evaluation. Improve your functions with helpful dataframe evaluation patterns! waterdata.usgs.gov/blog/rds-fun... #rstats

Vulnerability Indicators

Explore how social vulnerability indicators—such as income, household size, and education—contribute to water insecurity in the Western U.S.

🔗: labs.waterdata.usgs.gov/visualizatio...

Dumbbell plot showing changes in the percentage of households lacking complete plumbing facilities in Arizona counties between 2022 and 2023. Each county is listed on the y-axis, with dots representing data for 2022 (light purple) and 2023 (dark purple). The x-axis shows the percentage of households lacking plumbing, ranging from 0% to 4%. Counties like Apache and Navajo have higher percentages compared to others such as Maricopa and Pima.

Explore how to visualize change in incomplete plumbing facilities across counties for states of interest using #tidycensus

Choropleth map of percent of households lacking plumbing facilities in 2023 across counties in the Western U.S. Counties with the greatest percent of lacking plumbing facilities include Apache County, AZ (3.9%), McKinley County, NM (2.3%), and Navajo County, AZ (1.9%).

This blog post provides #reproducible code to process and visualize #tidycensus #acs data, such as households lacking plumbing facilities, across counties in the Western U.S.

Choropleth map of the Western United States shaded in varying tones of green to represent median gross rent by county for 2022, with darker greens indicating higher rents. A hexagonal tidycensus logo featuring a green map pattern is shown in the bottom-left corner. The title at the top reads 'Mapping water insecurity in R with tidycensus.'

Looking to fold @uscensusbureau data into your workflows? Our latest blog shows how to use #tidycensus to explore & visualize social vulnerability indicators in the Western U.S., with #reproducible code!

🔗: waterdata.usgs.gov/blog/acs-maps/

#rstats #DataViz #WaterInsecurity #OpenScience