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Sanskar
Keen Learner and Exp... • 20h
Day 14 of learning data science as a beginner. Topic: Melt, Pivot, Aggregation and Grouping Melt method in pandas is used to convert a wide format data into a long form data in simple words it represent different variables and combines them into key-value pairs. We need to convert data in order to feed it to our ML pipelines which may only take data in one format. Pivot is just the opposite of melt i.e. it turns long form data into a wide format data. Aggregation is used to apply multiple functions at once in our data for example calculating mean, maximum and minimum of the same data therefore instead of writing code for each of them we use .agg or .aggregate (in pandas both are exactly the same). Grouping as the name suggests groups the data into a specific group so that we can perform analysis in the group of similar data at once. Here's my code and its result.
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