data processing in Emparical analysis
Budget: $10 – $30 USD
Data Set is a college/university date set that include 20 variables and 1302
observations. There are categorical, interval, and binary variables. This data also has
some missing values. You will need to decide how to handle those observations if they
will be used in your analysis. Variables include many cost values, student enrollment,
location, public versus private, and faculty numbers.
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. 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.
observations. There are categorical, interval, and binary variables. This data also has
some missing values. You will need to decide how to handle those observations if they
will be used in your analysis. Variables include many cost values, student enrollment,
location, public versus private, and faculty numbers.
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. 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.
Related categories:
SAS