R Programming 254
@Rprogramming254
- High level of R programming - Data science projects using Python. - Data wrangling (cleaning) - Developing data products (Shiny, interactive charts,etc.)
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Indexing in R starts at 1, not 0. #RprogrammingTips, #rstats,#mrx,#dataviz
Where possible, use vectorized operations instead of for loops to make code faster and more concise #RprogrammingTips, #dataviz ,#mrx,#R
Name and style your code consistently. RprogrammingTips, #DataScience , #mrx ,#dataviz
If would like to hire some R programmers, pleas DM us. #mrx,#DataScience,#Datavisualisation, #dataviz
Collaborate, grab a buddy and practice 'code review'. #RprogrammingTips, #Datavisualisation,#dataviz
Its good practice to put functions at the top of the script file, or in their own script file. #RprogrammingTips, #DataScience,#dataviz
Changing directories in a script file can limit reproducibility #RprogrammingTips, #DataScience,#dataviz
1. Start your code with an annotated description of what the code does when it is run. #RprogrammingTips,#mrx , #DataScience,#data
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