Calculate and analyze descriptive statistics (e.g., mean, median, standard deviation) for various variables in a dataset using R.

#Descriptive Statistics Analysis in R
#We'll use the Titanic dataset (from the titanic package) and compute key descriptive statistics
#such as mean, median, standard deviation, minimum, maximum, and quartiles for relevant
#numerical variables.

# Install and Load Packages
install.packages(c("titanic", "dplyr"))  
library(titanic)  
library(dplyr)    

# Load Titanic Dataset
data <- titanic::titanic_train  
head(data)  

# Summary Statistics for Numeric Variables
summary(select(data, where(is.numeric)))  

# Descriptive Statistics for Age & Fare
stats <- summarise(data,
  Mean_Age = mean(Age, na.rm = TRUE),  
  Median_Age = median(Age, na.rm = TRUE),  
  SD_Age = sd(Age, na.rm = TRUE),  
  Var_Age = var(Age, na.rm = TRUE),  
  Min_Age = min(Age, na.rm = TRUE),  
  Max_Age = max(Age, na.rm = TRUE),  
  IQR_Age = IQR(Age, na.rm = TRUE),  
  Mean_Fare = mean(Fare, na.rm = TRUE),  
  Median_Fare = median(Fare, na.rm = TRUE),  
  SD_Fare = sd(Fare, na.rm = TRUE)  
)
print(stats)