Day 5 of #30DayChartChallenge: Experimental — first time making a beeswarm! The big HR hitters get the attention, but the interesting story is the floor rising. Mean HR for a qualified batter: 12.4 in the 1980s → 17.1 in the 2020s. Everybody’s swinging for the fences. #rstats #dataviz
Sticking with the same general dataset across multiple charts is helping me stay on track with the #30DayChartChallenge. The Royals had the biggest turnaround in MLB from 2023 → 2024. The Marlins had the biggest fall. Day 4 : Slope — all 30 teams, two seasons, one line each. #rstats #dataviz
It’s baseball season, and someone told me there are no lefty catchers in MLB. So I dug into the Lahman database for #30DayChartChallenge Day 3 (Mosaic) — sure enough, catchers are the most right-handed position in the game. #rstats #dataviz
For Day 2 of #30DayChartChallenge (Pictogram), I kept digging into the Lahman baseball database in R. Each ⭐ = one World Series title since 2000, gold for AL, blue for NL. #rstats #dataviz
#30DayChartChallenge Day 1
Triples are hard to come by… Here’s the distribution of MLB hits, by type in 2025. Made with data from the Lahmen package. #rstats
Day 14 of #30DayMapChallenge: OpenStreetMap 🗺️ I haven’t really explored OSM data before, but the level of detail in my area of interest was great. Here’s a quick map of places you can sit and read at the park. Built with #rstats and ggplot2 📍
I wanted more practice using OpenStreetMap data. Here is a hexagonal map of dining places in New York State, made in #rstats using OSM point-of-interest data. #30DayMapChallenge Day 10: Minimal Maps. #gis
#30DayMapChallenge Day 2: Lines. I wanted to make a quick map of my summer vacation using #rstats. I couldn’t get the arrows to display correctly, so that is still a work in progress. GitHub: https://github.com/mhegeman/30DayMapChallenge_2025
Trying to catch up on the #30DayMapChallenge Day 1: Points. Since it is almost ski season in the Northern Hemisphere, I wanted to find the top 10 ski resorts with the most significant vertical drop within 100 miles of Boston. I used data from Open Ski Map and made the map in R using Leaflet.
#tidytuesday I am a bit late on this, but the show is really all about Homer. Speaking lines by character for seasons 21-26.
Wednesday, December 11, 2024 →
Fell a bit off the #AdventOfCode wagon, but trying to get back at it. I work almost exclusively with dataframes as inputs, this reminds me that there are other data structures. Completed “Print Queue” - Day 5 adventofcode.com/2024/day/… GitHub: github.com/mhegeman/…
Just completed “Ceres Search” Day 4 of Advent of Code 2024. Part 1 was a breeze, boosting my confidence, but Part 2 fixed that. As usual, I was overthinking it. #Python #AdventOfCode adventofcode.com/2024/day/… Github: github.com/mhegeman/…
So, today, I learned about regex, which is not something that I have used before. I just completed “Mull It Over” - Day 3 - Advent of Code 2024 #AdventOfCode adventofcode.com/2024/day/… #Python
I just completed “Red-Nosed Reports” - Day 2 - Advent of Code 2024 #AdventOfCode I will eventually share answers on Github, but does anyone have a favorite resource to help with Python when you are coming from R? Ihttps://adventofcode.com/2024/day/2
Because I am a glutton for punishment, I’ve decided to give #AdventOfCode a try to practice my Python skills. I’ve completed “Historian Hysteria” - Day 1 - adventofcode.com/2024/day/…
Sunday, December 1, 2024
As the #30DayMapChallenge wraps up, I’ve taken time to think about my experiences during this experiment. Although I only completed some of the maps during the challenge, the maps I worked on helped stretch my skills beyond my comfort zone. I aimed to become more comfortable using R and open-source tools, and in that light, this challenge was a success. This is the final map - shelters in Antarctica. I’ve never worked with a polar projection before and was excited to try it.
Monday, November 25, 2024
Writing code and making maps with AI I need to catch up on the #30DayMapChallenge. Next year, I will plan a bit better to stay on track. In the meantime, I will fulfill a few topics with one set of maps - AI only (Day 9) and Map Projections (Day 26). I asked Claude.ai to write an R script to make a series of world maps showing different projections. I didn’t edit any of the code myself, but I went back and forth with Claude for about 20 minutes to refine how the maps looked.
Sunday, November 24, 2024
Now that I understand the basics of getting data into and out of a DuckDB file, I want to add spatial queries to the repertoire. You can find my blog post on creating and reading DuckDB data here: Duck DB + GIS. Spatial queries are a pretty common task in GIS. For example, you might want to find all of the restaurants within 5 miles of your hotel during a vacation.
Wednesday, November 20, 2024 →
#30DayMapChallenge Day 13: A new tool. I finally took the leap and experimented with DuckDB to create and access spatial data from #rstats. #gis #duckdb mel-likes-maps.micro.blog/2024/11/1…
Tuesday, November 19, 2024
I’ve been wanting to try DuckDB for a while. The lure of a serverless database is strong. But it always seemed intimidating. I recently read two articles that made me think that there’s no time like the present to give it a try: DuckDB: The Indispensable Geospatial Tool You Didn’t Know You Were Missing by Chris Holmes and # PostGEESE? Introducing The DuckDB Spatial Extension by Max Gabrielsson. I am going to share what I did to get points and polygons into a DuckDB database, then use that data to make maps.