Learn how to apply R to a marketing analytics case study.
We cover Excel to R process conversion with #dplyr, Correlation Analysis with #ggplot2 and #recipes, & #Rmarkdown business reporting.
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– Get Presentation Materials 1:57
– Agenda 4:23
– Business Problem & Existing Excel Process 5:52
– R Business Process Conversion – #dplyr, #ggplot2, #recipes – 16:32
– RMarkdown Business Report 18:17
– R Cheat Sheet 21:30
– R – LIVE CODING 23:48
– Replicating VLOOKUP in R – #dplyr #purrr – 26:56
– Feature Transformation – #recipes – 31:03
– Correlation Analysis – #cor #ggplot2 – 38:15
– Strategy Development – #dplyr #ggplot2 – 47:34
– Business Report – #rmarkdown – 52:46
– How to Learn R – The Plan – 54:11
– Q&A – 57:44
Code Available Here:
R Cheat Sheet:
Learn R for Business: .
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Excel to R – Marketing Analytics Case Study in R | Learning Lab
digital marketing analytics in theory
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Interesting research. Thanks 4 all
Great job
37:18 good man
we could tableau too right
hello ,
good job you are doing.
please am not able to download this,please send me through this email and many more materials for the same .omwengaokindo@gmail.com
Hello,
I am getting the following error for the one_hot=TRUE parameter in step_dummies:
`TRUE` must evaluate to column positions or names, not a logical vector .
Hello all,
Thanks a lot for this tutorial. Please I have a question.
I tried:
map(sheets~ read_excel(path = path, sheet = .))
But got an error> Why is this so? I imagine thw "%>%"(pipe) just supplies the data to the nested function. How come it gives an error when applied directly?
Hello,
27:10 code is not running. It gives me an error "Could not find function %>%"