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Used Sql, Pandas, and Jupyter Notebook to model, engineer and analyze employee data. Database created with PgAdmin4.

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celeste1030/sql-challenge

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sql-challenge

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Table of contents

General info

In this scenario, I'm an analyst at Pewlett Hackard. My latest assignment is to analyze employee data from 1980's and 1990's. This data needs some cleaning up and organizing so let's get started!

Objectives

  1. Data Modeling

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  1. Data Engineering

    This is the schema I used to create tables for the data.

  2. Data Analysis

    I used these queries to analyze the tables I created.

Bonus Analysis:

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Technologies

QuickDBD: https://app.quickdatabasediagrams.com/

pgAdmin4

jupyter notebook

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Used Sql, Pandas, and Jupyter Notebook to model, engineer and analyze employee data. Database created with PgAdmin4.

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