Ajjit Narayanan
@Ajjit10Friendly neighborhood dog dad, Lead Data Scientist for Housing Equity @HUDgov, formerly data and maps @UrbanInstitute
Similar User
@UrbanInst_Union
@benjfalk
@nyhackr
@drivendataorg
@JessicaPerezDC
@dr_xeo
@munmun10
@apreshill
@TinaPStacy
Inspired by this great thread, this weeks #ToolThursday will look at disparities in McDonalds locations with broken ice cream machines🍦. The data was downloaded from mcbroken.com (creds to @rashiq) and can be downloaded here: shorturl.at/evzGN
I ran the McBroken data through the Spatial Equity Data tool. apps.urban.org/features/equit… It found McDonalds are slightly overrepresented in white areas (first image) while locations with broken ice cream machines skew Black and low-income. (second image)
Ever notice how noisy a standard choropleth map can look? Bivariate proportional symbol maps--using symbols that vary by both size and color--can convey all the same info that a choropleth map does but in better proportions, in better locations, and with much less noise...
HUD has released its notice of funding opportunity for the Pro-Housing program, which will fund localities & MPOs with $85 m in grants to remove barriers to affordable housing availability: hud.gov/program_office… whitehouse.gov/briefing-room/…
Very cool to see @mattyglesias & @FAScientists partnering to crowdsource federal policy ideas to boost housing supply! Most of the YIMBY action right now is at the state level and it would be great if we could find more levers to pull in Washington, DC. slowboring.com/p/your-best-id…
What's needed to measure environmental justice more accurately and equitably? Pleased to share our recs for @WHCEQ's beta version of the Climate & Econ Justice Screening Tool, w/@sara_mct A. Shipp @jschwabish & @Ajjit10 Blog w/full comment link here: tinyurl.com/4j5wvrt4
Got inspired to add a new feature to {tigris} based on a great suggestion by @DextraordinaryH `erase_water()` automatically removes water area from an input tigris/tidycensus layer. Check out the issue if you want to try/offer feedback #rstats #rspatial github.com/walkerke/tigri…
Come work with me and my team! We’re loads of fun and do exciting work at the intersection of data science and public policy with #rstats and #python 🥳
✨Awesome job alert✨ We're hiring a Data Science Analyst @urbaninstitute! A great early-career opportunity to use #DataScience for policy impact! Check it out and please reach out with questions: urban.wd1.myworkdayjobs.com/en-US/Urban-Ca…
Learn how to make great maps in #Rstats from this amazing (and free!!) resource from my colleagues at @urbaninstitute, led by @Ajjit10 and @awunderground with input from many others. | "R Mapping Guide" urbaninstitute.github.io/r-at-urban/map…
Very excited to share the ✨new and improved✨ @urbaninstitute Spatial Equity Data Tool launched today! The tool allows users to upload data and quickly assess geographic and demographic disparities. So what's new? A thread: apps.urban.org/features/equit…
very excited our tool is finally live! you can input your city and check how housing wealth is distributed by race and ethnicity, compare to other cities, and view underlying homeownership rates and home values
United States Trends
- 1. $EMT 3.970 posts
- 2. Spotify 2,17 Mn posts
- 3. #EarthMeta 1.590 posts
- 4. Arsenal 343 B posts
- 5. Mbappe 131 B posts
- 6. Pete 872 B posts
- 7. CEOs 24,9 B posts
- 8. $PHNIX 5.955 posts
- 9. Newcastle 59,1 B posts
- 10. $TOAD 4.864 posts
- 11. Brian Thompson 133 B posts
- 12. Ancelotti 30,5 B posts
- 13. United Healthcare 97,8 B posts
- 14. Valverde 20,7 B posts
- 15. Nunez 38,9 B posts
- 16. Kelleher 19,5 B posts
- 17. Rashford 27 B posts
- 18. Diontae Johnson 4.183 posts
- 19. #ARSMUN 45,4 B posts
- 20. Apple Music 221 B posts
Something went wrong.
Something went wrong.