Homeless

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# install R packages

# install.packages("knitr")
# install.packages("readr")
# install.packages("rmarkdown")
# install.packages("tidyverse")

# Load R libraries
library(knitr)
library(readr)

## Warning: package 'readr' was built under R version 3.6.3

library(rmarkdown)

## Warning: package 'rmarkdown' was built under R version 3.6.3

library(tidyverse)

## Warning: package 'tidyverse' was built under R version 3.6.3

## -- Attaching packages ------------------------------------------------------------------------- tidyverse 1.3.0 --

## v ggplot2 3.2.1     v dplyr   0.8.3
## v tibble  3.0.1     v stringr 1.4.0
## v tidyr   1.1.0     v forcats 0.4.0
## v purrr   0.3.4

## Warning: package 'tibble' was built under R version 3.6.3

## Warning: package 'tidyr' was built under R version 3.6.3

## Warning: package 'purrr' was built under R version 3.6.3

## -- Conflicts ---------------------------------------------------------------------------- tidyverse_conflicts() --
## x dplyr::filter() masks stats::filter()
## x dplyr::lag()    masks stats::lag()

# Set working directory

setwd("C:/Users/Wendy/Desktop/ABC Careers/Data Journalist/Viz")
data <- read.csv("Homeless_by_Sex2.csv",header = TRUE)

# View dataframe
glimpse(data)

## Rows: 6
## Columns: 3
## $ Year     <int> 2006, 2006, 2011, 2011, 2016, 2016
## $ Sex      <fct> Male, Female, Male, Female, Male, Female
## $ Homeless <int> 51159, 38569, 57689, 44746, 67407, 49017

# Exploratory Data Analysis - Facet Wrap

ggplot(data, aes(Year,Homeless)) + 
  geom_line(aes(colour = Sex)) +
  facet_wrap(~Sex, scales ="free", ncol = 1) +
  theme(strip.text.y = element_text(angle = 0)) +
  ggtitle("Homelessness in Australia by Gender (2006-2016), Source: ABS")

ggplot(data, aes(Year,Homeless)) + 
  geom_line(aes(colour = Sex)) +
  facet_wrap(~Sex) +
  ggtitle("Homelessness in Australia by Gender (2006-2016), Source: ABS")

summary(cars)

##      speed           dist       
##  Min.   : 4.0   Min.   :  2.00  
##  1st Qu.:12.0   1st Qu.: 26.00  
##  Median :15.0   Median : 36.00  
##  Mean   :15.4   Mean   : 42.98  
##  3rd Qu.:19.0   3rd Qu.: 56.00  
##  Max.   :25.0   Max.   :120.00

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