STATS 382 Alabama A & M University Data Analysis Programming Paper

The goal of this assignment is to create a Data Analysis Report that analyze the data of the houses that were given in the houses_prices.xls file.

Include detailed comments on the entire program.

1. Create an R script file and set it up to create and html file
2. Read the csv file and create a data frame “data”, use any name you want for the variable that will hold the data Frame
3. Run the summary command for data and based on the results that you get give an overview of what is the most important information, anomalies, or interesting facts that you observe.
4. Create a Boxplot for the Taxes of the houses. Beautify the boxplot as much as you can ( Titles, colors etc…)
5. Run the quantile() command for quantitative data only to find the 10th percentile for each of those.
6. Calculate the standard deviation for each of the variables that are quantitative. Discuss what the standard deviation means for each of the variables.
7. Create a table using the table() command that enumerates the houses based on features, corner.
8. Repeat the process for features, Baths
9. Explain what are your observations.
10. Now, create a new data frame that includes only the columns PRICE and TAX, name this IRS and save it in a new CSV file locally in your computer ( use the write.csv command)
11. Also, create a new dataframe that includes only the houses that are located NOT in a corner. Save this in NOTCornerHouses and in a new CSV file locally in your computer ( use the write.csv command)
12. Consider only the NOTCornerHouses that have prices smaller than 2500
13. Using the NOTCornerHouses, create a histogram on the Prices and one on Taxes, ( Beautify) and explain your observations by reviewing the two histograms.

Submit, your R script and the two produced files IRS.csv and CornerHouses.csv