Maryland’s Bridge Safety, reported using R
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
A front-page story in the Baltimore Sun reported last week on the state of the bridges in Maryland. Among the report’s findings:
- 5.4% of bridges are classified in “poor” or “structurally deficient” condition
- 13% of bridges in the city of Baltimore are in “poor” condition
Those findings were the result of analysis of Federal infrastructure data by reporter Christine Zhang. The analysis was performed using R and documented in a Jupyter Notebook published on Github. The raw data included almost 50 variables including type, location, ownership, and inspection dates and ratings, and required a fair bit of processing with tidyverse functions to extract the Marlyland-specific statistics above. The analysis also turned up an unusual owner for one of the bridges: this one — an access road to the Goddard Space Flight Center — is owned by NASA.
You can read the story in the Baltimore Sun, or check out the R analysis in the Github repo linked below.
Github (Baltimore Sun): Maryland bridges analysis (via Sharon Machlis)
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.