Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/jemus42/podcaststats
Preparing data about podcasts. Because why not.
https://github.com/jemus42/podcaststats
rmarkdown-websites rstats
Last synced: 15 days ago
JSON representation
Preparing data about podcasts. Because why not.
- Host: GitHub
- URL: https://github.com/jemus42/podcaststats
- Owner: jemus42
- License: mit
- Created: 2016-09-17T22:30:20.000Z (about 8 years ago)
- Default Branch: main
- Last Pushed: 2024-10-27T06:21:35.000Z (24 days ago)
- Last Synced: 2024-10-27T07:27:27.337Z (24 days ago)
- Topics: rmarkdown-websites, rstats
- Language: R
- Homepage: https://podcasts.jemu.name
- Size: 6.95 MB
- Stars: 1
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# podcaststats
Preparing data about podcasts. Because why not.
Based off my previous work at [jemus42/theincompaRable](https://github.com/jemus42/theincompaRable), but now more organized.
## About
Well, [Jason Snell tweeted](https://twitter.com/jsnell/status/700864025949655040) a graph of The Incomparable runtimes.
As a big fan of the podcast and an aspiring nerd, [I asked for the data, obviously](https://twitter.com/Jemus42/status/700864609083850753).
I was happy to [receive his .numbers file](https://twitter.com/jsnell/status/700864809537970176), but unfortunately [it only contained two variables](https://twitter.com/Jemus42/status/700870531697004544) - the two needed for the plot.
Jason replied [he could get more metadata if I liked](https://twitter.com/jsnell/status/700870702367318017) and since I **really really would like** that, I rushed to set up this repository and put on my data-pants.
A short time after that, [Jason delivered magnificiently](https://twitter.com/jsnell/status/700882298795765761).
And now my analysis began.After I was sufficiently satisfied with my results, I began branching out to [Relay FM](https://relay.fm).
I am now trying to analyze data from both networks in a neat and tidy way.