R Programming: Constructing Data from Data Frame in two ways

In this tutorial, we’ll explore how to create and manipulate Data Frames in R Studio! Data frames are a fundamental data structure in R, allowing you to organize and analyze data in a tabular form. In this video, we will cover:

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CHAPTERS

0:15 How to create a basic data frame using the data.frame() function
2:51 Exploring data structure and summary using functions like str() and summary()
3:04 Renaming columns in a data frame
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R Script:

Creating a data structure for the data frame

Months = c(1:6)
Products = c("Laptop", "Mobile", "Desktop", "TV", "Laptop", "TV")
Sales = c(25000, 34567, 78965, 90876, 23453, 67896)

Using data.frame() to create a data frame
AM ＜- data.frame(Months, Products, Sales, stringsAsFactors = FALSE)

Creating a data frame in one go
AM_new ＜- data.frame(Months = c(1:6), Products = c("Laptop", "Mobile", "Desktop", "TV", "Laptop", "TV"),
Sales = c(25000, 34567, 78965, 90876, 23453, 67896))


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Explore structure and summary of data
AM
AM_new
str(AM)
summary(AM)

Adding a new variable (unique row) to the data
AM$Name_Months ＜- c("January", "February", "March", "April", "May", "June")
print(AM)

Changing a column name
AM ＜- data.frame(Months, Products, Revenue = Sales, stringsAsFactors = FALSE)

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By the end of this tutorial, you'll understand how to efficiently work with data frames in R, including creating, modifying, and exploring them.