#cranlogs
Day 22 | Timeseries – Stars | #30DayChartChallenge. Visualization made with R using #ggplot2, #dplyr, #showtext, #lubridate and #cranlogs. | Source: cranlogs R Package.
April 22, 2025 at 9:36 AM
cranlogs is limited to the top 100, I need MOAR
February 22, 2025 at 5:05 PM
Quick #TidyTuesday for the new year looking at the CDCPLACES package downloads over last year!

Shout out to cranlogs for the data! #rstats #ggplot2

Code: tinyurl.com/yufuz9rz

CDCPLACES package: tinyurl.com/46z6tfaa
January 7, 2025 at 10:47 PM
Thank you! This is total downloads. I used the `cranlogs` package to get the numbers from CRAN.

github.com/r-hub/cranlogs
GitHub - r-hub/cranlogs: Download Logs from the RStudio CRAN Mirror
Download Logs from the RStudio CRAN Mirror. Contribute to r-hub/cranlogs development by creating an account on GitHub.
github.com
June 22, 2026 at 2:35 PM
メモ;パッケージダウンロードのログを取る方法

install.packages("cranlogs")
library(cranlogs)
# 過去30日間のダウンロード数を取得
cran_downloads("ggplot2", from = Sys.Date()-30, to = Sys.Date())
Sys.Date
December 7, 2024 at 3:16 AM
Why would one do this rather than use the cranlogs package?
February 22, 2025 at 4:53 PM