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3 Ways to Count the Number of NA's per Column in R [Examples]
r - Using count(), aggregate(), data.table () or dplyr() to summarise the data (mean, standard deviation) - Stack Overflow
group by - Extracting unique column combination and finding sum and count in R - Stack Overflow
Compute Summary Statistics in R - Datanovia
SQL Server and R mutate, transmute, summarize, group by, pipe, filter
Week 5 – Grouping and combining data
Data Frame Manipulation with dplyr – R for Reproducible Scientific Analysis
Creating frequency tables in R using dplyr - YouTube
RStudio Cheatsheets - RStudio
Group data hierarchically on two levels, then compute relative frequencies in R using dplyr - Stack Overflow
Manipulating, analyzing and exporting data with tidyverse
dataset - R : Counting the number of observations per category - Data Science Stack Exchange
R Aggregate Function: Summarise & Group_by() Example
r - To create a frequency table with dplyr to count the factor levels and missing values and report it - Stack Overflow
data-transformation dplyr
Data frame Manipulation with dplyr – Introduction to R for Geospatial Data
summary - Summarize each category of rows in one column using R - Stack Overflow
Groupby Count in R - DataScience Made Simple
Data Cleaning with R and the Tidyverse: Detecting Missing Values | by John Sullivan | Towards Data Science
Count Number of Rows by Group Using dplyr Package in R (Example) | group_by, summarise & n Functions - YouTube
How to Count NA Values by Group (2 Examples) | Base R & dplyr Package
How to Count NA Values by Group (2 Examples) | Base R & dplyr Package
Function & Group in R Overview & Examples | What is Summary Function in R Programming? - Video & Lesson Transcript | Study.com
R dplyr Message: summarise has grouped output - override using .groups
Data frame Manipulation with dplyr – Introduction to R for Geospatial Data
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