Profile avatar
zach-nabavian.bsky.social
Data analyst with a focus on demand forecasting and automation. LinkedIn: https://www.linkedin.com/in/zachary-nabavian/ GitHub: https://github.com/Zach-Nabavian
152 posts 176 followers 501 following
Regular Contributor
Active Commenter
Posts 18 Comments 32

For this week's Tidy Tuesday, we looked at earthquakes around Mt Vesuvius. I was interested in how many earthquakes were recorded each year, and how that was related to their average Duration Magnitude. I tried to use a dual axis graph for this, but these are generally advised against.

submitted 24 days ago • 2 comments

It's been a while, but I wanted to share some visualizations I made for the last few Tidy Tuesdays, though the topics for the last few weeks have been depressing to say the least. First, I have this bar graph showing how science grant terminations are distributed across different categories.

submitted 30 days ago • 1 comment

Again, he just thinks the act of importing is itself an economic loss. He has no concept of mutually beneficial transactions.

submitted 31 days ago • 74 comments

Yesterday I had two very different people tell me, "I thought #TidyTuesday data could only be accessed in R" & they thought the "cleaning script" at the bottom of each data readme was something they would have to run. No & no! The data is just CSV files! And the cleaning is already done! #databs

submitted 32 days ago • 1 comment

HEY. I'm looking to chat with professors, teachers, instructors, and educators of all kinds who use #Python in their data-focused courses (stats, analytics, modeling, forecasting, econ, finance, biostats, medical, whatever). Looking to connect py data learners with the data community. Help! #databs

submitted 47 days ago • 2 comments

A new Python edition of "Forecasting: Principles and Practice" is now available online at otexts.com/fpppy/. Thanks to @azulgarza.bsky.social, Cristian Challu, Max Mergenthaler, Kin Olivares & Nixtla for making this happen. #forecasting #python

submitted 58 days ago • 4 comments

For this week's Tidy Tuesday, we looked at general healthcare data from the United States from 2023 to 2024. This was a really tough dataset to wrap our heads around initially. I have a graph of the Top 10 States with the highest percentage of healthcare workers up to date with the COVID vaccine.

submitted 59 days ago • 1 comment

@dslc.io welcomes you to week 14 of #TidyTuesday! We're exploring Timely and Effective Care by US State! 📁 https://tidytues.day/2025/2025-04-08 🗞️ https://www.visualcapitalist.com/mapped-emergency-room-visit-times-by-state/ #RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

submitted 62 days ago • 0 comments

The main effect of tariff insanity: Uncertainty poisoning supply networks, degrading a lot of relationships at once. That scar tissue will linger for a long time. 1/

submitted 62 days ago • 1 comment

Vaccination eliminated polio from the United States 🧵

submitted 62 days ago • 6 comments

For this week's TidyTuesday, we played with a dataset of Pokemon stats and other features. I wanted to show how fully evolved Pokemons' strength has changed over the generations.

submitted 65 days ago • 1 comment

It's just about Data Science Hangout time! Hope to see y'all in about 10 minutes :) posit.co/data-science...

submitted 66 days ago • 0 comments

HAPPENING NOW! COME HANGOUT!

submitted 66 days ago • 0 comments

So, searching on @bsky.app has felt really unsafe 😰 The "Moderation" settings for images don't seem to help, and many of the words associated with data stuff are also associated with... other... stuff. Anyone have safe search tips or use other tools to interact with bluesky? #databs

submitted 66 days ago • 3 comments

Ready to dive into #MachineLearning with R? An Introduction to Statistical Learning (statlearning.com) is a fantastic (and free!) book that covers the ML essentials with clear examples. Each chapter has #rstats labs to practice - I've had fun completing this book with friends! #DataScience #RLadies

submitted 66 days ago • 2 comments

PSA: Learning #datascience with others beats Googling error messages every time. 😅 We've all been there! Finding a community (like a #useR or #RLadies group) or study buddy can turn frustration into “aha!” moments. Team up and save yourself some time and angst. #rstats #BetterTogether

submitted 66 days ago • 0 comments

Again, nobody is forcing them to put tariffs on bananas, coffee, avocados, or any of the hundreds food/minerals/materials that literally can't be obtained in the US. They could write exemptions for any or all of them. Instead they press the "make groceries more expensive" button.

submitted 66 days ago • 65 comments

The way this current administration uses the phrase "gender ideology" makes me somewhat NUTS. I grew up in a borderline fundamentalist evangelical community in Texas; we had gender ideology galore!

submitted 79 days ago • 0 comments