Week 1 Analysis
# This gray area is called an "R-chunk".
# These library commands install some powerful functions for your use later on.
library(mosaic)
library(pander)
library(tidyverse)
library(DT)
# This read_csv command reads in the "Rent" data set into an object called "Rent"
Rent <- read_csv("../Data/Rent.csv")
# To load this data set into your R-Console do the following:
# 1. From your top file menu select "Session -> Set Working Directory -> To Source File Location"
# 2. Press the green "play button" in the top right corner of this gray box (which is called an "R-chunk").
# 3. Then in your "Console" window of
Here is a data table showing the available approved housing apartment options at BYU-Idaho for single students. There are 122 entries comprising 57 female and 65 male apartment options.
# Code to get you started.
# View(...) works great in the Console, but datatable(...) must be
# used instead within an R-chunk.
datatable(Rent, options=list(lengthMenu = c(3,10,30)), extensions="Responsive")
# Use this R-chunk to...
# ...Create an interesting graphic using the Rent data set.
…delete this and type here…
# Use this R-chunk to...
# ...compute and display a meaningful table of numerical summaries supporting your above graphic.
…delete this and type here…
…delete this and type an interesting final conclusion about what your graphic and numerical summaries show…