iiinova — where your digital self keeps evolving

Elmera Azadpour @eazadpour.bsky.social · 20/04/2026

💧 New blog post! Learn how to create mini inset-style maps in #rstats using #purrr, #ggplot2, and #cowplot. Featuring SUI data from USGS, with examples at the national watershed scale and in the Great Basin. 🔗 waterdata.usgs.gov/blog/nwdc-in... #DataViz #WaterData #OpenScience

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Saloni @scientificdiscovery.dev · 09/12/2025

Big new blogpost! My guide to data visualization, which includes a very long table of contents, tons of charts, and more. --> Why data visualization matters and how to make charts more effective, clear, transparent, and sometimes, beautiful. www.scientificdiscovery.dev/p/salonis-gu...

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Elmera Azadpour @eazadpour.bsky.social · 03/12/2025

Hi #rstats friends! 👋🏽 Checkout our newest blog that displays how to create beautiful and reproducible river maps! 🗺 🔗: waterdata.usgs.gov/blog/nhd-viz... #nhdplusTools #dataRetrieval #ggplot #dataviz

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Andrew Heiss @andrew.heiss.phd · 19/02/2025

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...

andrewheiss.com

How to use a histogram as a legend in {ggplot2} | Andrew Heiss

Land isn’t unemployed—people are. Here’s how to use R, {ggplot2}, {sf}, and {patchwork} to create a histogram legend in a choropleth map to better see the distribution of values.

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Sharon Machlis @smachlis.bsky.social · 09/04/2025

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

waterdata.usgs.gov

Jazz up your ggplots!

Useful tricks to elevate your data viz via `ggplot` extension packages in R

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Elmera Azadpour @eazadpour.bsky.social · 30/04/2025

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

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Elmera Azadpour @eazadpour.bsky.social · 25/03/2025

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...

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Dax Kellie @daxkellie.bsky.social · 19/03/2025

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 📊🌏🧪🐦🦉🦆🦅

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

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Elmera Azadpour @eazadpour.bsky.social · 14/03/2025

Week 10 | #TidyTuesday | Pixar Film Ratings 🔗 github.com/elmeraa-usgs... #rstats #dataviz #r4ds #ggplot

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.

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Alvin Chang @alv9n.com · 03/03/2025

My latest for @puddingviz.bsky.social: The Middle Ages Read: pudding.cool/2025/02/midd... Watch: www.youtube.com/watch?v=b4zL...

pudding.cool

The Middle Ages

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

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Reposted by Elmera Azadpour

Dr. Joscelin Rocha-Hidalgo 🇧🇴🏳️‍🌈 @joscelinrocha.com · 25/02/2025

🎨✨ 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

buff.ly

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

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

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Elmera Azadpour @eazadpour.bsky.social · 10/02/2025

Week 4 | #TidyTuesday | Water Insecurity 🔗 github.com/rfordatascie... #rstats #dataviz #r4ds #ggplot

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.

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Jakub Nowosad @nowosad.fosstodon.org.ap.brid.gy · 02/02/2025

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}: buff.ly/4htZ5D3 #rspatial #rstats #GIS #Geocompx

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The Pudding @pudding.cool · 21/11/2024

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...

pudding.cool

Sitters and Standers

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

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Dan Oehm @danoehm.bsky.social · 01/02/2025

#TidyTuesday week 4: Water Insecurity 💧 Plumbing facilities are improving in 22 states, and it is getting worse in 28. #Rstats #dataviz

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Jessica Moore @jessimoore.bsky.social · 31/01/2025

#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

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Deepali Kank @deepalikank.in · 29/01/2025

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

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Brenden @beesm.bsky.social · 28/01/2025

#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

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%.

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Steven Ponce @sponce1.bsky.social · 25/01/2025

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

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.

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Elmera Azadpour @eazadpour.bsky.social · 27/01/2025

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

labs.waterdata.usgs.gov

Vulnerability Indicators

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Althea Archer @aaarcher.bsky.social · 16/01/2025

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

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.

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cee @ceenell.bsky.social · 20/12/2024

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

labs.waterdata.usgs.gov

Earth is in flux

Chart gallery highlighting key findings of USGS land change science

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cee @ceenell.bsky.social · 17/12/2024

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

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Elmera Azadpour @eazadpour.bsky.social · 09/12/2024

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

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John Hammond @hydrohammond.bsky.social · 05/12/2024

Do you use trail cameras to monitor streams, rivers or other water bodies? Looking for a platform to turn those images into relative flow or stage information? Or even just to look back through all of your images? Check out Flow Photo Explorer! www.usgs.gov/apps/ecoshed...

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Elmera Azadpour @eazadpour.bsky.social · 05/12/2024

November #streamflow conditions across the U.S. 💧 Dry conditions persisted for much of the Eastern U.S. while parts of the Central U.S. saw wet conditions. #DataViz made with #rstats #dataRetrieval  github.com/DOI-USGS/flo...

A tile map of the U.S. showing streamgages by flow levels through the month of November 2024. For each state, an area chart shows the proportion of streamgages in wet, normal, or dry conditions. Streamflow conditions are quantified using percentiles comparing the past month’s flow levels to the historic record for each streamgage. During the month of November, much of the Eastern U.S. saw dry conditions for states such as Delaware, Rhode Island, Connecticut, and New Jersey. Concurrently, Missouri, Oklahoma, and Kansas saw wet conditions.

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Elmera Azadpour @eazadpour.bsky.social · 27/11/2024

Check out U.S. River Conditions from October 1, 2023 to September 30, 2024 at #USGS #streamgages💧 River conditions range from driest conditions at a gage (red open circles) to the wettest (blue closed circles). A purple outer ring indicates flooding www.usgs.gov/media/videos...

Still frame from 2024 Water Year River Conditions animation from May 7, 2024 highlighting high water in the Central U.S., flooding in East Texas, and low flows in parts of Florida where driest conditions at a streamgage are indicated by red open circles, wet conditions are indicated by blue closed circles, and purple outer rings on streamgage circles indicates flooding.

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Elmera Azadpour @eazadpour.bsky.social · 22/11/2023

Public supply is the source of water for many beverage facilities, but water source varies by facility type. Here we show water sources across facility type for the U.S. where line thickness is scaled to the # of facilities in each category. Learn more at: labs.waterdata.usgs.gov/visualizatio...

Sankey diagram showing proportions of water source types reported by bottling facilities in the U.S. Source categories are public supply, self-supply, combination, or undetermined. Combination can be defined as a mix of sources. Bottling facility types include bottled water, brewery, distillery, ice, soft drinks, and winery. Public supply is the source reported by the largest number of facilities (30,965) with the respective order of brewery, bottled water, winery, distillery, soft drinks, and ice. Self-supply is the source reported by the second largest number of facilities (10,267) with the respective order of winery, brewery, bottled water, distillery, soft drinks, and ice. Data available at doi:10.5066/P90Z125H.

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Elmera Azadpour @eazadpour.bsky.social · 21/11/2023

#DYK the average American drank 342 bottles of water in 2020?💧 Learn more about where bottling facilities across the U.S. source their water from in @USGS_Water’s new website: labs.waterdata.usgs.gov/visualizatio... @ceenell.bsky.social

labs.waterdata.usgs.gov

Water bottling across the U.S.

Explore where U.S. water bottling facilities are located and where they source their water

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Elmera Azadpour @eazadpour.bsky.social · 06/11/2023

October #streamflow conditions across the U.S. 💧 Dry conditions persisted throughout much of the U.S., while parts of New England and Puerto Rico saw wet conditions. #DataViz made with #rstats #dataRetrieval  github.com/DOI-USGS/flo...

A tile map of the US showing streamgages by flow levels through the month of October 2023. For each state, an area chart shows the proportion of streamgages in wet, normal, or dry conditions. Streamflow conditions are quantified using percentiles comparing the past month’s flow levels to the historic record for each streamgage. During the month of October, much of the Central and Southern U.S. saw dry conditions, while regions such as New England and Puerto Rico saw wet conditions.

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cee @ceenell.bsky.social · 11/10/2023

September #streamflow conditions across the U.S. 💧 Dry conditions persisted across much of the U.S., while parts of New England saw wet conditions. 📊🌎 made with #rstats  github.com/DOI-USGS/flo... @eazadpour.bsky.social

A tile map of the US showing streamgages by flow levels through the month of September 2023. For each state, an area chart shows the proportion of streamgages in wet, normal, or dry conditions. Streamflow conditions are quantified using percentiles comparing the past month’s flow levels to the historic record for each streamgage. During the month of September, much of the Central U.S. and parts of the Pacific Northwest, such as Oregon and Washington, saw dry conditions. Later in the month, parts of New England experienced wet conditions for states such as Maine, Massachusetts, Connecticut, Rhode Island and Delaware.

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Allison Horst @allisonhorst.bsky.social · 23/08/2023

Teaching intro data science or stats in environmental sciences / ecology this fall? The lterdatasampler package is now on CRAN, with curated real world datasets from the US Long Term Ecological Research program! Check it out: lter.github.io/lterdatasamp...

A hexagonal design with the words lterdatasampler at the top. Within the border are plants, animals and weather patterns representing the different datasets currently in the package.

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cee @ceenell.bsky.social · 20/09/2023

The U.S. has a long history of drought. But in the last 100 years, five drought periods stand out from all the rest. Learn about the 5 droughts that changed history in this new data viz 📊📈from the USGS VizLab labs.waterdata.usgs.gov/visualizatio...

A snippet of the drought timeline data visualization, showing red, orange, and yellow vertical bars clustered together, scrolls with text that reads, “Five droughts that changed history: The U.S. has a long history of droughts, but in the last 100 years, five droughts stand out from all the rest. Explore the droughts that changed history. Click the link in our post”

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