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Data I Homework

This is a collaborative exercise to be carried out by teams. The teams are (a) the students in DSIS, and (b) the students in Marketing.

Obtain a ready-made quantitative dataset that is non-trivial in the sense that it is big enough and interesting enough that an analysis from it could be publishable. (This doesn't mean it can't be fun. For example, it could consist of sports statistics, such as the Roussin NBA dataset.)

There is a lot of flexibility in what the data can be. For example, it could be a classic cases-by-variables matrix, such as the well-known GSS dataset. It could also be an affiliations dataset, such as the membership of individuals in clubs (e.g., the AOM Division Membership dataset). The data should be ordinal-scaled (or better), or 1/0 presence/absence data.

Put the data into an excel file and create a tab for a code book that explains each variable. Also create a second tab that has the data in standardized form (i.e., mean 0 and sd 1). Finally, make another tab that contains a correlation matrix -- the correlations between all possible pairs of variables.

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