analysis-pipelines
Enables data scientists to compose pipelines of analysis which consist of data manipulation, exploratory analysis & reporting, as well as modeling steps. Data scientists can use tools of their choice through an R interface, and compose interoperable pipelines between R, Spark, and Python.
OTHER License
Stars
28
Committers
8
Commit Statistics
Past Year
All Time
Total Commits
168
Total Committers
10
Avg. Commits Per Committer
16.8
Bot Commits
0
Issue Statistics
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All Time
Total Pull Requests
0
13
Merged Pull Requests
0
13
Total Issues
0
50
Time to Close Issues
N/A
about 10 hours
Package Rankings
Top 24.4% on Cran.r-project.org