erikaduan/r_tips
R programming tips for data cleaning, data visualisation, statistical modelling and machine learning
This is a collection of practical tips and tutorials for anyone using R for data analysis. It helps you take raw data, clean it, visualize it, and automate reports. You'll find guidance on tasks like cleaning text with regular expressions or creating flowcharts. This resource is for data analysts, researchers, or anyone who works with data and uses R.
809 stars. No commits in the last 6 months.
Use this if you are an R user looking for concrete examples and best practices for common data tasks like cleaning, visualization, and report automation.
Not ideal if you are looking for in-depth statistical modeling or machine learning concepts, as those sections are still under development.
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R
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CC-BY-SA-4.0
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Last pushed
Jul 16, 2025
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