Titanic

Code for downloading tidyverse

library(tidyverse)  # Loads the `tidyverse` collection

## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr     1.1.4     ✔ readr     2.1.5
## ✔ forcats   1.0.0     ✔ stringr   1.5.1
## ✔ ggplot2   3.5.1     ✔ tibble    3.2.1
## ✔ lubridate 1.9.3     ✔ tidyr     1.3.1
## ✔ purrr     1.0.2     
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag()    masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors

library(readxl)     # Reads CSV and Excel files

Histogram

df <- read_csv("train.csv")

## Rows: 891 Columns: 12
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (5): Name, Sex, Ticket, Cabin, Embarked
## dbl (7): PassengerId, Survived, Pclass, Age, SibSp, Parch, Fare
## 
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.

hist(df$Fare)

I chose to do a histogram of the distribution of fare cost among passengers. The question this attempts to answer is “What is the distribution among teh amount passengers paid for a ticket?”. This will give me insight into the visualization of the average cost of ticket for passengers.

Barplot

df <- read_csv("train.csv")

## Rows: 891 Columns: 12
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (5): Name, Sex, Ticket, Cabin, Embarked
## dbl (7): PassengerId, Survived, Pclass, Age, SibSp, Parch, Fare
## 
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.

barplot(df$Age, names.arg = df$PassengerId,
       xlab = "PassengerId", ylab = "Age", 
        main = "Passengers and Their Age")

I chose to do a barplot of the passenger’s age by using the X-axis as the passenger Id and the Y-axis as their age. This gives me information about the age of each corresponding passenger on the Titanic.