Data Exploration And Analysis

This is part of a group, final project from "data analytics with Python" class, written by me.

Some requirements that were given by professor:

• Goal:Detect three interesting, nontrivial,and somewhat unexpected findings in a real-world data set of your choice.
• Managerial insights: answer the “So what?” question. That is, convince the reader that your finding can be used to improve operations and increase profit.

Project Information:

Me and my team decided to work on this data set.

I uploaded only code that was written by me. I performed data cleaning and data wrangling and I did one of the findings. You will find 2 jupyter notebooks and 2 data files inside of this project.
Jupyter notebooks: the first jupyter notebook is for data cleaning and data wrangling. The second jupyter notebook is for findings.
Data files: data file in root/data/raw_data folder is data that was downloaded from kaggle. Second data file in root/data/processed_data folder is output of data cleaning and wrangling we performed analysis on.

Instructions:

1. Do not run "Data Cleaning.ipynb" file. It will take long time to process. The output of this code is presented as a separate file.
2. To run "Python Final Project.ipynb" unzip data located root/data/processed_data.