Course Project

Housing Data File

This data set contains 25 variables that are described in the data dictionary tab and include

several categorical variables, some binary variables, and numerical data. You can approach this

data from a variety of perspectives using the techniques you learned in class to answer

questions. Use the tool of your choice but make sure you know how to use it correctly. There

are 2930 observations, more than enough to provide valid and reliable statistical analysis.

You have been hired by the local real estate broker to analyze activity in the local housing

market. You must conduct three ANOVA analyses, a correlation analysis, and three Regression

analyses to answer six questions you believe will help the broker provide the best guidance to

both buyers and sellers. Categorical variables include building type, neighborhood, and house

style. If you think it is important to understand the age of the house when it sold, you will need to

create a new variable (year built and year sold are two variables provided). As with any project,

you will start with EDA to get a sense of your data. For categorical variables, using a pivot table

to get counts and proportions is an excellent way to get a better understanding of those

variables. Example questions could focus on house prices in different neighborhoods, those

sold in different years, impact of lot size or house square footage on price, etc.  

Deliverables

Perform EDA and include information about the data in the report that helps the reader get an

understanding of the data set (useful graphics should be included). Develop six research

questions (ideas include regression model to predict price, ANOVA to compare a numerical

variables based upon categorical variable groups, etc.). Perform the analysis and write a

detailed description of the results and what they mean (how you would use them). Be sure to

include appropriate graphics.

Create a 4-5 slide presentation that would support a very brief presentation (3 minutes) of your

analysis. 
below is a sample paper in the files uploades. paper does not need to be 24 pages, but I have include this so you can get a sense of the overall flow of the document and what you should include. 
the attachments consists of the required dataset and a sample paper and please use excel with data analytics package for the assignment and please provide the excel files also

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