~/talk

Understanding the state of R in South Africa

Talkat satRday Johannesburg 2019 · on Saturday, 2019-04-06· [data-science]
slides:none on file

Downloads from CRAN are parsed from 1,402 log files (6 GB compressed) into a time series of 5.7 million observations (2.8M in 2018), decomposed with the stats package using the HTL function to show a strong upward trend from 2016 and a large 2018 spike; weekday patterns peak Mondays and slump weekends. Package analysis finds 14,156 unique packages with mean 203 and median 3 downloads, and an undirected package co‑download network pruned at edges >=100 reveals central hubs; an interactive visualization and a Shiny-based classify workflow are produced.

AI-written summary · about

  1. 0:00Introduction and background
  2. 1:09Motivation for R usage analysis
  3. 3:36Data collection and processing
  4. 6:26Time series decomposition results
  5. 8:58Trends in R adoption drivers
  6. 9:25Package download statistics
  7. 11:16Network analysis approach
  8. 13:03Network visualization insights
  9. 16:26Key takeaways and future outlook
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