This exercise allows a user to load one of two CSV files and then perform histogram analysis and plots for select variables on the datasets. The first dataset represents the population change for specific dates for U. S. regions. The second dataset represents Housing data over an extended period of time describing home age, number of bedrooms and other variables. The first row provides a column name for each dataset. The following columns should be used to perform analysis: PopChange. csv: Pop Apr 1 Pop Jul 1 Change Pop Housing. csv: AGE BEDRMS BUILT ROOMS UTILITY Notice for the Housing CSV file, there are more columns in the file than are required to be analyzed. You can and should still load each column. Specific statistics options should include: Count Mean Standard Deviation Min Max Histogram Housing. csv

8222006163117.394169
5041980162150.726245.3333
5341985172213.789159
6731985162364.585179
262198010042314.525146
56119853232482.65694.75
5031985164084.31236
2621980852823.39681
6031985172552.762184.0833
PopChange. csv
IdGeographyTarget Geo IdTarget Geo Id2Pop Apr 1Pop Jul 1Change Pop
0100000USUnited States310M400US10100101004060343191 2588
0100000USUnited States310M400US10140101407279873901 1103
0100000USUnited States310M400US10220102203749038247 757
0100000USUnited States310M400US10300103009989298266 -1626
0100000USUnited States310M400US10460104606383266781 2949
0100000USUnited States310M400US10620106206058662075 1489
0100000USUnited States310M400US10660106603125430444 -810
0100000USUnited States310M400US10700107009301996109 3090
0100000USUnited States310M400US10760107604161840497 -1121