Data_Wrangling_Tips_Tricks

Find the solution to the most common data wrangling problems

Most of our time in an analytical/ data science project is spent on data preparation. Whether working with structured or unstructured data, there are a few data-wrangling scenarios that we can't solve directly using standard package functions. This repository will provide you with solutions to such scenarios. Each folder in the repository will have 3 files:

• Sample data file (generally .csv)
• A jupyter notebook containing the solution
• A text file with the link to my Medium blog post where the explanation of the solution is documented

List of Scenarios covered:

• Scenario 1 - Splitting Pandas Dataframe in to Multiple Dataframes