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dplyr in r | dplyr mutate example | dplyr mutate add multiple columns | dplyr mutate drop column

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The mutate function enables us to easily add new columns to our data. We can either provide a vector of values in the same way we would with a standard data frame or we can create new columns from existing variables.
In this video we create a new column containing the original row names from the mtcars data frame. We then use the information contained with the hp and wt columns to create a second new column containing the power-to-weight ratio.
When using dplyr mutate function the columns in a data frame are dropped by setting them to NULL
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Chapters
0:00 introduction
0:30 dplyr mutate
2:19 dplyr drop columns with mutate
Should you be interested in R course offered on Udemy with the certificate that you can include on your LinkedIn profile and Resume/CV copy and follow the link below:
#rprogrammingforbeginners #rtutorial #dataanalytics #rprogramming #datatypes #rstudio #datascience #machinelearning #vectors #vector #dataframe #dataframes #rdataframes #sortdata #datamanipulation #data #reshapepackage #reshape #tidyverse #tidyr #dplyr #dplyrtutorial #ggplot2 #dataanalysis #datavisualization #statistics
In this video we create a new column containing the original row names from the mtcars data frame. We then use the information contained with the hp and wt columns to create a second new column containing the power-to-weight ratio.
When using dplyr mutate function the columns in a data frame are dropped by setting them to NULL
Please subscribe for support 🙏🏻
Chapters
0:00 introduction
0:30 dplyr mutate
2:19 dplyr drop columns with mutate
Should you be interested in R course offered on Udemy with the certificate that you can include on your LinkedIn profile and Resume/CV copy and follow the link below:
#rprogrammingforbeginners #rtutorial #dataanalytics #rprogramming #datatypes #rstudio #datascience #machinelearning #vectors #vector #dataframe #dataframes #rdataframes #sortdata #datamanipulation #data #reshapepackage #reshape #tidyverse #tidyr #dplyr #dplyrtutorial #ggplot2 #dataanalysis #datavisualization #statistics