📋 Content
Part I
Skill Tracks Introductory and Data Management can be used to help with Part I.
1. Import Python Libraries
There are many ways to load the necessary functions. Think carefully about whether it is necessary to load the entire package or just individual functions. Synonyms/abbreviations are also useful to minimise the writing effort.
2. Import and read the dataset
pandas offers a direct function for importing csv files. In addition, you should set the 1st column as an index. This makes further work easier.
3. Check the dataset
Helpful functions here are .value_counts(), .select_dtypes() and .corr().
4. Testing group differences
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5. Normalizing metrics
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Part II
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