A data transformation pipeline library based on Potter's Wheel.
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Updated
Sep 8, 2021 - Python
A data transformation pipeline library based on Potter's Wheel.
I came across a challenge introduced by Shashank Kalanithi. it's a data set in form of a CSV file with an interesting block-like structure. The challenge was to transform this data into the regular form of long thin tables.
We classify messages of victims in need into much appropriate groups for a much effective response to their needs as the requirements of these individuals vary across various formats.
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Data wrangling (otherwise known as data munging or preprocessing) is a key component of any data science project. Wrangling is a process where one transforms “raw” data for making it more suitable for analysis and it will improve the quality of your data. In this tutorial, we will use python libraries to complete all process
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