library(ggplot2)
custom_col <- c("red", "green", "orange")
ggplot(netflix, aes(x = "", fill = factor(type))) + geom_bar(width = 1) +
theme(axis.line = element_blank(), plot.title = element_text(hjust=0.5, size=22)) +
labs(fill="class",
x = NULL,
y = NULL,
title = "Pie Chart of Netflix Shows") + coord_polar(theta = "y", start=0) +
scale_fill_manual(values=custom_col)

library('dplyr')
## Warning: package 'dplyr' was built under R version 4.3.3
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
library('tidyr')
## Warning: package 'tidyr' was built under R version 4.3.3
library('readr')
## Warning: package 'readr' was built under R version 4.3.3
library('stringr')
## Warning: package 'stringr' was built under R version 4.3.3
library('forcats')
## Warning: package 'forcats' was built under R version 4.3.3
library('modelr')
## Warning: package 'modelr' was built under R version 4.3.3
knitr::opts_chunk$set(echo = TRUE)
setwd("C:/Users/ASUS/Desktop/R Files")
train <- read.csv('train.csv')
summary(train)
## PassengerId.Survived.Pclass.Name.Sex.Age.SibSp.Parch.Ticket.Fare.Cabin.Embarked
## Length:891
## Class :character
## Mode :character
library(ggplot2)
custom_col <- c("blue", "yellow", "purple")