R: Introduction to Data Science

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • strict

    Make R a little bit stricter

  • (1) You might want to check out https://github.com/t-kalinowski/Rapp by my colleague Tomasz

    (2) I think part of that is in scope for strict (https://github.com/hadley/strict). You might also be well served by adopting some more data validation tooling, e.g. pointblank (https://rstudio.github.io/pointblank/).

  • Rapp

    Build CLI applications in R

  • (1) You might want to check out https://github.com/t-kalinowski/Rapp by my colleague Tomasz

    (2) I think part of that is in scope for strict (https://github.com/hadley/strict). You might also be well served by adopting some more data validation tooling, e.g. pointblank (https://rstudio.github.io/pointblank/).

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    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • pointblank

    Data quality assessment and metadata reporting for data frames and database tables

  • (1) You might want to check out https://github.com/t-kalinowski/Rapp by my colleague Tomasz

    (2) I think part of that is in scope for strict (https://github.com/hadley/strict). You might also be well served by adopting some more data validation tooling, e.g. pointblank (https://rstudio.github.io/pointblank/).

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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