Exploratory Data Analysis (EDA)- R programming

 

 Exploratory Data Analysis (EDA)

Demonstrate the range, summary, mean, variance, median, standard deviation, histogram, box plot, scatter plot using population dataset.

 Import Population  Dataset : Download

Exploratory Data Analysis (EDA)is the process of analyzing and visualizing the data to get a better understanding of the data and glean insight from it. There are various steps involved when doing EDA but the following are the common steps that a data analyst can take when performing EDA:

Ø  Import the data

Ø  Clean the data

Ø  Process the data

Ø  Visualize the data

 

 

library(ggplot2)

#data importing

my.data<-read.csv("india_population.csv")

# view data

View(my.data)

print(india_population$Population)

#process data

mean(india_population$Population)

Output:  mean(india_population$Population)

[1] 964957502

summary(india_population$Population)

Output:

summary(india_population$Population)
     Min.   1st Qu.    Median      Mean   3rd Qu. 
4.099e+08 6.421e+08 1.010e+09 9.650e+08 1.321e+09 
     Max. 
1.380e+09 

var(india_population$Population)

 var(india_population$Population)
[1] 1.277892e+17

hist(india_population$Population, main = "Indian Population")

boxplot(india_population$Population, main = "Indian Population")

    

plot(india_population$Population, main = "Indian Population", col="red")