Mean commute times for several cities per year. Data from the American Community Survey

Wow commute times in NYC are solidly twice per year what they are in any other major city.

I would take an hour on a train though over half that in bumper-to-bumper traffic.

Created in #rstats using @kylewalker.bsky.social's #tidycensus

Mapped: natural change and net migration, US counties.

🗺️ Dark green: higher natural change & net migration;
🗺️ Bright green: higher NC, lower NM;
🗺️ Bright purple: Lower NC, higher NM;
🗺️ Light grey: lower NC & lower NM.

What stands out to you?

#rstats #tidycensus

A complete 10 year time series analysis of the US Census American Community Survey in under 40 hours, including client meetings, feedback, and last minute additions.

#rstats #census #tidycensus #purrr #quarto #dataAnalysis #functionalProgramm

If you work with US Census data, this and #tidycensus from @kylewalker.bsky.social are the only way you should be doing it, imo. I stopped using DataFerrett and the Census data website around 2016/17 because #tidycensus is amazing!

Mapped: natural change and net migration, US counties.

🗺️ Dark green: higher natural change & net migration;
🗺️ Bright green: higher NC, lower NM;
🗺️ Bright purple: Lower NC, higher NM;
🗺️ Light grey: lower NC & lower NM.

What stands out to you?

#rstats #tidycensus

Is the Census Bureau API down for anybody else today? I'm specifically making calls using #tidycensus and getting a bunch of 503 errors. (I feel like this is rapidly becoming an evergreen post.) #rstats

May be speaking to the void here, but anyone in the #RStats world having trouble with #tidycensus API calls? I'm currently getting errors, but (seemingly) only when trying to also get feature geometries.

I know there were some outages earlier this year...hoping it's not that again 😨

Explore work-from-home patterns in 2023 across the US.

One of the thousands of creative maps you can make from U.S. Census Bureau data with #rstats, #tidycensus, and #mapgl.

Check it out: walker-data.com/map-challeng...

And learn how to do this yourself: github.com/walkerke/map...

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

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

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

Pulling Census data directly into a GDB using R + #TidyCensus - I cried tears of joy when I learned I no longer have to spend a week pulling raw census data into SQL server. #GISchat

The #tidycensus package is one of my favorites in #rstats. It makes working with census data so much easier. #gischat

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

I’m @paulsuckow.bsky.social, Lead Planner/GIS at Harris County (Texas) Housing & Community Development. Interested in connecting. #dataviz #arcgispro #ago #r #tidycensus #maps #cartogophy #HUD #community #development #egis #idis #heros #census #geospatial #climate #adaptation #businessgeographics

I have spent the last week pulling Census data using the
Census' API with #TidyCensus in an R-script that also puts the data into a Geodatabase and/or Excel file. Goodbye SQL Server! This is saving me HOURS of work! so happy I could cry! Why didn't I learn R sooner? #GISChat

A choropleth map showing the level of income inequality in the conterminous United States by county as measured by the Gini index. The most unequal county is Harding County in New Mexico (pop. 657); the most equal county is Kenedy County in Texas (pop. 350)

#30DayMapChallenge, Day 13: Choropleth. Income inequality of the conterminous United States as measured by the Gini index. Data from the American Community Survey. Made possible by @kyle_e_walker amazing #tidycensus package.

#rayshader adventures, an #rstats tale