This is an R Markdown document.This is the document on the canon and Nikon Prices.
minta <- read.csv("C:/Users/Abdul Qudoos/Desktop/R Assignment.csv")Now for the Details and variable types details
summary(minta)## Consider.the..factors.such.as.the.number.of.megapixels.. X
## Length:33 Length:33
## Class :character Class :character
## Mode :character Mode :character
## X.1 X.2 X.3 X.4
## Length:33 Length:33 Length:33 Length:33
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
## X.5 X.6 X.7
## Length:33 Length:33 Length:33
## Class :character Class :character Class :character
## Mode :character Mode :character Mode :characterstr(minta)## 'data.frame': 33 obs. of 9 variables:
## $ Consider.the..factors.such.as.the.number.of.megapixels..: chr "weight (oz.), and overall score ranges from 0 to 100 of sample of " "Canon and Nikon cameras used to explain prices. " "[Note Brand=1 for Canon and 0 for Nikon]." "" ...
## $ X : chr "" "" "" "" ...
## $ X.1 : chr "" "" "" "" ...
## $ X.2 : chr "" "" "" "" ...
## $ X.3 : chr "" "" "" "" ...
## $ X.4 : chr "" "" "" "" ...
## $ X.5 : chr "" "" "" "" ...
## $ X.6 : chr "" "" "" "" ...
## $ X.7 : chr "" "" "" "" ...Making the graphs for the normalities. here we will use the two graphs, one is of the boxplot and the other one is the histoograms.
# Separate the prices for Nikon and Canon
prices_nikon <- minta$Price[minta$brand == 0]
prices_canon <- minta$Price[minta$brand == 1]