Althea Archer
@aaarcher.bsky.social
62 followers 76 following 3 posts
multipassionate, broadly-trained ecologist who can do stats, make maps, and paint pretty, too; opinions are my own | Data Visualization Specialist /Science Communicator
Posts Media Videos Starter Packs
Reposted by Althea Archer
reliefbot.bsky.social
//\ Relief #037

Location: Malinau, Kalimantan Utara, Indonesia
Coordinates: 2.7148, 116.1959
Elevation Range: 365m to 1282m
Terrain type: mountainous

#ReliefOfTheDay #DataViz #Geography
Relief visualization in perspective style showing elevation data from Malinau at coordinates 2.7148, 116.1959 with elevation range from 365m to 1282m.
Reposted by Althea Archer
annaleighclark.bsky.social
"The agency has been operating streamgages in the United States since the 1880s. One of the first 120 gages the agency installed was in Wisconsin in 1899 ... That longevity gives scientists an essential resource for tracking Wisconsin’s bodies of water."

via @wisconsinexaminer.com
DOGE cancels lease of USGS Rice Lake water monitoring office • Wisconsin Examiner
The planned closure of a USGS water field office in Rice Lake is worrying experts on the future of water quality data in Wisconsin.
wisconsinexaminer.com
aaarcher.bsky.social
📢 Hey #dataSci, #dataViz, and #reproducibility folks, I just published a new blog on using #Quarto "child" templates to make duplicating code chunks easier.

Reprex example with Quarto-Powerpoint workflow using #openScience #dataRetrieval streamflow data.

waterdata.usgs.gov/blog/quarto-...
Duplicating Quarto elements with code templates to reduce copy and paste errors
Quarto provides easier-than-ever ways to create data-driven, reproducible documents. This blog demonstrates how to use custom code templates to easily replicate code chunks with a reproducible USGS st...
waterdata.usgs.gov
Reposted by Althea Archer
smachlis.bsky.social
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
Jazz up your ggplots!
Useful tricks to elevate your data viz via `ggplot` extension packages in R
waterdata.usgs.gov
Reposted by Althea Archer
khoavuumn.bsky.social
Data that are "available upon request".
Reposted by Althea Archer
gdeejay.bsky.social
I've reached out to multiple authors this week to try and get data from their papers.

So far, all I've got is a collection of bounced emails.
Reposted by Althea Archer
thatsoph.bsky.social
Thrilled to have played a part in this excellent story about the stock market during Trump's first 100 days
www.cnn.com/interactive/...
Trump holding a board showing reciprocal tariffs next to an illustration labelled "Trump's 'liberation day'". A stock market graph is in the background
Reposted by Althea Archer
Reposted by Althea Archer
altnps.bsky.social
Join your local protest on April 19th. Spread the word.
Reposted by Althea Archer
altnps.bsky.social
Yesterday was incredible. The official count is in — 5.2 million people joined the #HandsOff protest nationwide. So many are asking: what’s next? Mark your calendars: 4/19 is the next nationwide day of protest.
Reposted by Althea Archer
governorwalz.mn.gov
As Governor, I will always stand with Minnesotans in the business of protecting fundamental rights.
Reposted by Althea Archer
altnps.bsky.social
Musk’s status as a “special government employee” limits him to 130 days in the executive branch. However, despite working daily—documented by his own X posts—they claim he only works one day a week, effectively stretching his limit to 130 weeks. This needs to be brought to Congress—please share.
Reposted by Althea Archer
naelshiab.bsky.social
Learn how to create stunning charts 📈 and maps 🌍 in this new lesson on Code Like a Journalist! We'll code #dataviz together using data from the 2023 Canadian wildfires.

I rewrote it a few times, so I’d love for you to check it out. 😅

Link in the comments! 👇
Reposted by Althea Archer
drcatmac.bsky.social
Every scientist, long before they were a scientist, was a little kid who stood in front of a fish tank or stared up at the stars or turned over a rock to look at the bugs underneath and said “wow”. On the best days, working in science still feels like that.
Reposted by Althea Archer
klangin.bsky.social
Dear federal scientists: If you have been affected by the probationary firings and would be willing to speak with Science, please reach out to me by email ([email protected]) or on Signal. We can guarantee annonymity.
Reposted by Althea Archer
nrennie.bsky.social
The making of last week's #TidyTuesday visualisation, recorded using {camcorder} in #RStats 📹

There was something weird going on with the interaction between {ggtext}/{marquee} and {ggpattern} for displaying images, so the hardest part ended up being arranging them with {patchwork}
Reposted by Althea Archer
deepalikank.in
#MakeOverMonday week 7 - Most Popular Valentine Day candy.

Tableau Public: public.tableau.com/app/profile/...

#dataviz #Tableau
Reposted by Althea Archer
Reposted by Althea Archer
dslc.io
It's #TidyTuesday y'all! Show us what you made on our Slack at https://dslc.io!
#RStats #PyData #JuliaLang #RustLang #DataViz #DataScience #DataAnalytics #data #tidyverse #DataBS
jonthegeek.com
Curator: @nnpereira
@dslc.io welcomes you to week 4 of #TidyTuesday! We're exploring Water Insecurity!

📁 https://tidytues.day/2025/2025-01-28
🗞️ https://waterdata.usgs.gov/blog/acs-maps/

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds
Logo for the #TidyTuesday Project. The words TidyTuesday, A weekly data project from the Data Science Learning Community (dslc.io) overlaying a black paint splash. TidyTuesday is a weekly social data project. All are welcome to participate! Please remember to share the code used to generate your results!
TidyTuesday is organized by the Data Science Learning Community. Join our Slack for free online help with R and other data-related topics, or to participate in a data-related book club!

 How to Participate
Data is posted to social media every Monday morning. Follow the instructions in the new post for how to download the data.
Explore the data, watching out for interesting relationships. We would like to emphasize that you should not draw conclusions about causation in the data.
Create a visualization, a model, a shiny app, or some other piece of data-science-related output, using R or another programming language.
Share your output and the code used to generate it on social media with the #TidyTuesday hashtag. Three choropleth maps of the United States west of the Mississippi River, using 2022 U.S. Census Bureau Data, entitled Mapping water insecurity in R with tidycensus. The first choropleth is labeled Percent Hispanic, 2022, and shows the highest percentages of Hispanic people near the US-Mexico border, with scattered high percentages, such as in the state of Washington. The second choropleth is labeled Median gross rent, 2022, and shows the highest rents in California, Washington state, and Colorado. The third choropleth is labeled Average household size, 2022, and has scattered areas of large household size, with the highest averages in South Dakota, Utah, southern California, and southern Texas. The image also includes the hex logo of the tidycensus R package, with an indistinct choropleth map in shades of green.
Reposted by Althea Archer
jonthegeek.com
Curator: @nnpereira
@dslc.io welcomes you to week 4 of #TidyTuesday! We're exploring Water Insecurity!

📁 https://tidytues.day/2025/2025-01-28
🗞️ https://waterdata.usgs.gov/blog/acs-maps/

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds
Logo for the #TidyTuesday Project. The words TidyTuesday, A weekly data project from the Data Science Learning Community (dslc.io) overlaying a black paint splash. TidyTuesday is a weekly social data project. All are welcome to participate! Please remember to share the code used to generate your results!
TidyTuesday is organized by the Data Science Learning Community. Join our Slack for free online help with R and other data-related topics, or to participate in a data-related book club!

 How to Participate
Data is posted to social media every Monday morning. Follow the instructions in the new post for how to download the data.
Explore the data, watching out for interesting relationships. We would like to emphasize that you should not draw conclusions about causation in the data.
Create a visualization, a model, a shiny app, or some other piece of data-science-related output, using R or another programming language.
Share your output and the code used to generate it on social media with the #TidyTuesday hashtag. Three choropleth maps of the United States west of the Mississippi River, using 2022 U.S. Census Bureau Data, entitled Mapping water insecurity in R with tidycensus. The first choropleth is labeled Percent Hispanic, 2022, and shows the highest percentages of Hispanic people near the US-Mexico border, with scattered high percentages, such as in the state of Washington. The second choropleth is labeled Median gross rent, 2022, and shows the highest rents in California, Washington state, and Colorado. The third choropleth is labeled Average household size, 2022, and has scattered areas of large household size, with the highest averages in South Dakota, Utah, southern California, and southern Texas. The image also includes the hex logo of the tidycensus R package, with an indistinct choropleth map in shades of green.
aaarcher.bsky.social
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.
Reposted by Althea Archer
sdbernard.bsky.social
NEW: Animation showing how the LA fires have spread over the past 7 days. Near hurricane-force winds are expected later today which firefighters fear could fan the devastating wildfires.

Read @grimeslikedimes.bsky.social and Myles McCormick's report
www.ft.com/content/1304...
#dataviz
aaarcher.bsky.social
This whole blog series is 🔥
ceenell.bsky.social
Reproducible Data Science in R: Writing better functions
Write functions in R that run better and are easier to understand. waterdata.usgs.gov/blog/rds-bet... #rstats #waterData
reproducible data science in r blog series. shows a water droplet building pipelines