Lab 9

#Tahra Cartwright 
#Task 1
FetchedData <- read.csv("https://raw.githubusercontent.com/drkblake/Data/main/DataWrangling.csv")
#Save data on your computer
write.csv(FetchedData, "DataWrangling.csv")

if (!require("tidyverse"))
  install.packages("tidyverse")

## Loading required package: tidyverse

## ── 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   3.4.4     ✔ tibble    3.2.1
## ✔ lubridate 1.9.3     ✔ tidyr     1.3.0
## ✔ 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(tidyverse)

mydata <- read.csv("DataWrangling.csv")

#Histogram
ggplot(mydata, aes(x=Pct_College))+
  geom_histogram(color="gray",
                 fill="darkblue")

## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

#Task 2 

ggplot(mydata, aes(x=Density,
                   y=Pct_College))+
  geom_point(color= "red",
             fill= "red")