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Data-Cleaning-Challenges

in this challenge, I tackled some of the most common data clenaing problems encountered when analyzing data through five hands-on exercises with real, messy data to answer most of the commonly asked data clenaing questions.

The break down of the exercises in the challenge

Handling Missing Values

Data Scaling and Normalization

Cleaning and Parsing Dates

Character Encoding Errors (no more messed up text fields!)

Fixing Inconsistent Data Entry & Spelling Errors

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5 hands-on exercises dealing with real, messy data to answer most of the commonly asked data cleaning questions.

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