davidkeya / Data-Cleaning-Handling-Missing-Values

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Data Cleaning: Handling Missing Values

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Introduction

The purpose of this project is to look at possible ways of preparing a dataset for exploratory data analysis. This preparation can be achieved by carrying out the necessary steps as below.

  • Taking a first look at the data
  • See how many missing data points are present
  • Figure out why the data is missing
  • Drop missing values
  • Filling in missing values

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