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Descriptive Statistics in R
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Descriptive Statistics in R
You’ll learn about descriptive statistics in this video, which is one strategy you might employ in exploratory data analysis.
Before you invest time constructing intricate models, it’s necessary to first study your data when you start analyzing data. Calculating descriptive statistics for your data is an easy approach to do so.
Descriptive statistical analysis aids in describing the fundamental characteristics of a dataset and gives a brief description of the sample and data measurements.
One approach to do this is to use the tidyverse dplyr summarise() function.
The summarise() function is frequently used in conjunction with group by() to summarise each group into a single-row summary.
The column names that contain the categorical variables for which you want to create summary statistics are passed as parameters to group by().
For the complete tutorial visit
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#rstats #DataScience #descriptive #R #statistics
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You’ll learn about descriptive statistics in this video, which is one strategy you might employ in exploratory data analysis.
Before you invest time constructing intricate models, it’s necessary to first study your data when you start analyzing data. Calculating descriptive statistics for your data is an easy approach to do so.
Descriptive statistical analysis aids in describing the fundamental characteristics of a dataset and gives a brief description of the sample and data measurements.
One approach to do this is to use the tidyverse dplyr summarise() function.
The summarise() function is frequently used in conjunction with group by() to summarise each group into a single-row summary.
The column names that contain the categorical variables for which you want to create summary statistics are passed as parameters to group by().
For the complete tutorial visit
Data
#rstats #DataScience #descriptive #R #statistics
You can Contact us
YouTube Channel:-
Website Link:-
Facebook Page:-
Twitter:-
Flipboard:-