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Exploratory Data Analysis and Data Cleaning

Installation

This project does not require any installation. The code can be run directly in a SQL environment.

Usage

The code provided in the Exploratory Data Analysis and Data Cleaning files can be used to perform the following tasks:

  1. Exploratory Data Analysis:

    • Find the maximum and minimum number of people laid off
    • Identify companies that laid off all their employees
    • Explore the total people laid off from each country
    • Rank countries based on the number of people laid off
    • Determine the period in which the layoffs occurred
    • Explore the total people laid off from each industry
    • Filter the data by year
  2. Data Cleaning:

    • Create a backup table of the original data
    • Remove duplicate rows
    • Standardize the data (company names, industry, country)
    • Convert the date column to the correct data type
    • Handle blank and null values in the industry column
    • Remove unnecessary data

API

This project does not provide any API. It is a set of SQL queries for data exploration and cleaning.

Contributing

This project is not open for contributions at this time.

Testing

No formal testing procedures are provided for this project.

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