PranayMalhotra / Colleges-for-Maria

Data Cleaning - A project which takes all colleges in the US, and narrows down the suitable colleges by slicing, dicing and concatenating startup activity data and crime statistics.

FINDING COLLEGES FOR MARIA

Introduction

This is a data wrangling and data cleaning project which uses three disparate datasets to filter out all the colleges based on certain conditions.

Problem Statement

Maria, a 25-year old US Army veteran, has just returned to the civilian workforce and is looking for suitable colleges to pursue a degree in Management Systems and Information Technology.

The task is to create a dataset of colleges, with rankings, subject to the following criteria: The colleges must be in:

• be in an urban/metropolitan area.
• be in a city that ranks 75th percentile or higher on Kauffman's start-up rankings.
• be below 50th percentile in overall crime.
• offer a 2-year or 4-year degree in Information Technology/Science.

Data and other Files

• Kauffman's start-up rankings are present in a CSV file called Startup Activity.csv
• All other data can be found here.
• Files named LocalCrimeTrends.pdf and FullDataDocumentation.pdf explains data in the crime and college datasets.

Requirements

The project was done in Jupyter Notebook, Python 3.