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We have created a mini dpylr for data science course in R using JupyterLab notebooks. The course assumes little to no familiarity with R or dplyr.
The notebooks are designed to be used with Blockly but can be used without it. Blockly is a visual programming language primarily designed to teach coding.
The course outline covers core dplyr topics:
%>%selectmutate/transmuterenamefilterarrangegroup_by/ungroupsummarizebind_cols/bind_rowsleft_join/inner_join/full_join