Thanks, I was wondering!
21.07.2025 11:22 — 👍 1 🔁 0 💬 0 📌 0@talbtree.bsky.social
healthcare data analyst. Enjoy Twenty20 cricket (esp Women’s!), nfl and college football #rstats
Thanks, I was wondering!
21.07.2025 11:22 — 👍 1 🔁 0 💬 0 📌 0Variable name comparison of v1 and v2 nflverse players data.
Rare breaking change in the #nflverse!
`nflreadr::load_players()` now loads v2 players data.
During the process of the rewrite I decided to rename some variables for consistency and removed some irrelevant variables. Please see the below table for a detailed comparison of old and new data.
That function naming is gold
17.07.2025 07:35 — 👍 1 🔁 0 💬 0 📌 0My first post on my new site is now available!
02.07.2025 16:15 — 👍 5 🔁 2 💬 1 📌 0Suppose every baguette molecule is a data point, the whole loaf obviously has a negative correlation and each slice obviously has a positive correlation. Should think of simpson's paradox as a kind of selection bias. Every time you cut a data set you cut along some sort of shape.
01.07.2025 22:15 — 👍 46 🔁 7 💬 3 📌 2Wild
01.07.2025 05:24 — 👍 1 🔁 1 💬 0 📌 0Wow this looks horrendous
01.07.2025 00:18 — 👍 0 🔁 0 💬 0 📌 0Was taking a look at the college RTMs done by @talbtree.bsky.social
There are 3 players drafted in the top 10 of the NFL draft with a 99+ Overall Score...
Science abstract: POLICING High-frequency location data show that race affects citations and fines for speeding Pradhi Aggarwal1, Alec Brandon2*, Ariel Goldszmidt3, Justin Holz4, John A. List3, Ian Muir5, Gregory Sun6, Thomas Yu7 Prior research on racial profiling has found that in encounters with law enforcement, minorities are punished more severely than white civilians. Less is known about the causes of these encounters and their implications for our understanding of racial profiling. Using high-frequency location data of rideshare drivers in Florida (N = 222,838 individuals), we estimate the effect of driver race on citations and fines for speeding using 19.3 million location pings. Compared with a white driver traveling the same speed, we find that racial or ethnic minority drivers are 24 to 33% more likely to be cited for speeding and pay 23 to 34% more money in fines. We find no evidence that accident and reoffense rates explain these estimates, which suggests that an animus against minorities underlies our results.
missed this last month: data science informing psych, sociology, polisci
in Lyft data (222K drivers), Black or minority drivers get speeding tickets 1/3 more often **when they are known to be going the same speed**
beautiful work, it's racial profiling, case closed
www.science.org/doi/10.1126/...
I used my monthly bluesky open for good then 😂
05.05.2025 21:35 — 👍 1 🔁 0 💬 0 📌 0The music is very soothing!
05.05.2025 21:28 — 👍 1 🔁 0 💬 1 📌 0These look great! Will follow along tomorrow
24.04.2025 06:48 — 👍 1 🔁 0 💬 0 📌 0“Analyzing Baseball Data with R” book club ⚾️
Dive into baseball analytics with us! Perfect for beginner (to advanced) R coders who want to explore sabermetrics. #rstats
Join us by sharing your availability here: dslc.io/bookclubber?... (If it asks for a URL for the slack it’s dsclio.slack.com)
😭
25.03.2025 23:33 — 👍 0 🔁 0 💬 0 📌 0Scatter plot for top 20 bowlers by balls bowled in the 2025 Women's Indian Premier League cricket competition. X axis is dot balls bowled %. Y axis is boundary % against. Both axes are reversed so best remains top right. Shabnim Ismail and Shikha Pandey are the top 2 bowlers in the top right.
Scatter plot for top 20 batters by balls facedin the 2025 Women's Indian Premier League cricket competition. X axis is non boundary strike rate. Y axis is boundary %. Annabel Sutherland and Sarah Bryce are middle right leading the way in non boundary strike rate over 5. Richa Ghosh is top middle leading the way in boundary % at about 40%
My cricket R package (github.com/albtree/cric...) has been out of action since October after an API change. Have finally started working on it again. Popped out some Women's Premier League charts from some old code.
18.02.2025 21:50 — 👍 2 🔁 2 💬 0 📌 0True banger of a mix
on.soundcloud.com/uZyLLkULxg82...
😂
17.12.2024 01:33 — 👍 0 🔁 0 💬 0 📌 0On discussion with my psych I set myself up a fortnightly mental health reminder of things to think about which usually help me. We identified these as themes that usually help me stay on track 😊
17.12.2024 00:59 — 👍 1 🔁 0 💬 1 📌 0These are great!
16.12.2024 22:12 — 👍 2 🔁 0 💬 0 📌 0
How does the 2025 QB class compare to the past two years? Below is the EPA percentiles for each players college career.
Trying to use mindfulness more regularly when I’m feeling overwhelmed or need a circuit breaker to help snap out of a grumpy mood. Wanted to share this one from last week, especially the quote:
“You deserve this time. You matter and so does your well being”
Good self care!
youtu.be/pB_qUY1dPrs?...
Same, same but different
“Let me just dive into these 1,000 records that are showing up wrong.
Ok will just join them to this other table
**code runs for a few mins***
Ah, 1.2million results….wrong”
Week 4 as a data analyst using SQL
Me: beautiful, got all the right fields, looking great, good job me!
*compares results with an old report*
155 rows vs 4 rows
😂
Greg Olsen putting on a clinic on why Arizona should go for this
01.12.2024 20:45 — 👍 8 🔁 1 💬 0 📌 0A disastrous first 4 overs for Melbourne Renegades. Such a good season and it could be all undone unless things stabilise a bit #WBBL
01.12.2024 02:43 — 👍 0 🔁 0 💬 0 📌 0#FlyQuest defeat #Complexity 13-6 on Anubis!
#CS2 #ShanghaiMajor #counterstrike
Planned to take the kids to the #WBBL this morning but that’s not going to happen with this rain unfortunately!
23.11.2024 20:50 — 👍 0 🔁 0 💬 0 📌 0New job with some WFH days and needing more storage for family photos also convenient arguments for the purchase + Black Friday sales
21.11.2024 00:53 — 👍 0 🔁 0 💬 1 📌 0Update:
Picking up new laptop later today
Wife is conveniently out for dinner tonight….
>30fps here I come