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Looking at the raw data

Looking at the raw dataset can be very helpful at the beginning to get a feel for the data. It helps us evaluate which variables are available, what information they contain, and how they are formatted (e.g., text, numbers, or a combination).

In the case of the employee info variables, we can see, for example, that there are a total of 1512 entries to the survey and that the gender variable consists of different categories.

A table has been provided where you can explore the data for yourself. Try out the search function or use the arrows next to the variable names to sort the data.

This exercise is part of the course

Data Literacy Case Study: Remote Working Analysis

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