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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:
%>%
select
mutate
/transmute
rename
filter
arrange
group_by
/ungroup
summarize
bind_cols
/bind_rows
left_join
/inner_join
/full_join