What is rowsums and colsums in R?

Recipe Objective

Exploratory Data Analysis is a crucial step before building any machine learning model on a dataset. This also includes gathering statistical inferences from the data.

This recipe focuses on using rowSums() and colSums() functions in R.

rowSums() function calculates the sum of of all the rows in the dataset and displays the output

colSums() function calculates the sum of all the numeric columns in the dataset and displays the output

Step 1: Loading required library and dataset

# Data manipulation package library(tidyverse) ​ # reading a dataset customer_seg = read.csv('R_78_Mall_Customers.csv') ​ glimpse(customer_seg)

Rows: 200
Columns: 5
$ CustomerID              1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 1...
$ Gender                  Male, Male, Female, Female, Female, Female, ...
$ Age                     19, 21, 20, 23, 31, 22, 35, 23, 64, 30, 67, ...
$ Annual.Income..k..      15, 15, 16, 16, 17, 17, 18, 18, 19, 19, 19, ...
$ Spending.Score..1.100.  39, 81, 6, 77, 40, 76, 6, 94, 3, 72, 14, 99,...

Dataset description: It is the basic data about the customers going to the supermarket mall. We are interested in all the numeric variables in the dataset.

Step 2: Using rowSums()

# calculating sums of every row apart ignoring the values in the 2nd column as it is categorical rowSums(customer_seg[,-2])

Step 3: Using colMeans()

# calculating sums of every column apart ignoring the values in the 2nd column as it is categorical colSums(customer_seg[,-2])

CustomerID20100Age7770Annual.Income..k..12112Spending.Score..1.100.10040