Instructions

Here is a script to analyze a built-in housing dataset in R in the ggplot2 library, called 'txhousing'. Before you run the script, type at the R console prompts: library(ggplot2) library(dplyr) library(plotly) NOTE: If you did not install the plotlypackage for the Softchalklesson, you will need to do it here.

This script extracts the data for McAllen and produces 9 plots. Change the city to your own locale, or just a city you want to analyze. Do not use Mcallen - If you live in McAllen, pick another town.

Make sure that there is enough data left to create interesting plots, after you filter the NA's.

Create all 9 plots, label each one with the number.

SCREENSHOT-COPY/PASTE all your plots, with the number of each clearly labeled.

Please 'Zoom' the viewer on each one to make sure the plot is large enough to be easily read.

NOTE: The 3D plot is interactive, allowing you to click-and-drag to orient the axes. RE-ORIENT THIS PLOT SO THAT 'DATE' IS IN THE FOREGROUND, ASCENDING Left to Right. This means that the time scale of years is across the front of the cube, on the edge closest to the viewer, with the lowest year on the left, highest on the right. In general, you should ALWAYS have time increasing as you go towards the right.

I want to pick up San Antonio.