Execute an Analytics project using CRISP-DM process
Budget: $30 – $250 USD
Data Set 1 is a real estate data set that includes 14 variables and 5802 observations. All
numeric variables are interval and there is one categorical variable for Remodel. The value
is $1000. If you determine that age is an important variable, you will need to
calculate it from the year built. The living area is generally considered the livable square
footage (area heated and cooled) of the house. Gross area often includes garages,
basements, and porches (all areas not heated and cooled but covered). Rooms are total
rooms in the house. Rooms generally are a total of living spaces not including bathrooms.
There are a variety of questions you can answer with this data. Your job is to develop
two different research questions that require two different types of techniques, interpret
the results, and provide insights or recommendations. You will include appropriate EDA
and graphics in your completed paper and presentation. The presentation should take
no more than 10 minutes and is an overview of your project. You have the poetic license
to create a story of how the data was collected and when and tell us who your
“customer” of the analysis is for this project.
numeric variables are interval and there is one categorical variable for Remodel. The value
is $1000. If you determine that age is an important variable, you will need to
calculate it from the year built. The living area is generally considered the livable square
footage (area heated and cooled) of the house. Gross area often includes garages,
basements, and porches (all areas not heated and cooled but covered). Rooms are total
rooms in the house. Rooms generally are a total of living spaces not including bathrooms.
There are a variety of questions you can answer with this data. Your job is to develop
two different research questions that require two different types of techniques, interpret
the results, and provide insights or recommendations. You will include appropriate EDA
and graphics in your completed paper and presentation. The presentation should take
no more than 10 minutes and is an overview of your project. You have the poetic license
to create a story of how the data was collected and when and tell us who your
“customer” of the analysis is for this project.