full analysis of a question based on a dataset, a brief
executive summary of the analysis, explaining the analysis, and R code for the
analysis.
The explanation of this method should include the principles
on which the method is based, a purpose of the method, requirements for
application, and basic diagnostics, where applicable.
Questions to be answered
1, Data definitions explained
2, Appropriate exploratory data analysis performed
3, Research question presented
4, Method for addressing research question explained
5, Primary method explained in principle
6, Application of primary method explained
7, Data satisfaction of requirements of method demonstrated
8, Primary new method applied and interpreted correctly
9, Supporting visualizations provided
Content
The data pertains to the houses
found in a given California district and some summary stats about them based on
the 1990 census data. Be warned the data aren't cleaned so there are some
preprocessing steps required! The columns are as follows, their names are
pretty self explanitory:
1. longitude: A measure of how far west a house is; a higher value is farther west
2. latitude: A measure of how far north a house is; a
higher value is farther north
3. housingMedianAge: Median age of a house within a block;
a lower number is a newer building
4. totalRooms: Total number of rooms within a block
5. totalBedrooms: Total number of bedrooms within a block
6. population: Total number of people residing within a
block
7. households: Total number of households, a group of
people residing within a home unit, for a block
8. medianIncome: Median income for households within a
block of houses (measured in tens of thousands of US Dollars)
9. medianHouseValue: Median house value for households
within a block (measured in US Dollars)
10. oceanProximity: Location of the house w.r.t ocean/sea
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