Capstone Project
Throughout the summer, you have learned data science and its applications on various datasets. Now, use
this knowledge to analyze a real world dataset of your choice.
Dataset
The idea of this project is that you will use a dataset you are passionate about. It can be anything – it can
be a dataset used from another class (eg: think if you had any data you get in Excel), it can be a dataset
you found online, or it can be a dataset you gather yourself. Some ideas include but are not limited to:
•A dataset about a hobby you are interested in (eg: vacation destinations, best beaches, fashion trends,
Instagram, music, etc.)
•A dataset about something you enjoy doing or watching (eg: swimming, volleyball, Rocket League,
Illini Football, etc.)
•A dataset about your a topic related to your major (economics, communications, political science, etc.)
•Any dataset that means something to you.
The dataset: - Must be non-trivial. Meaning it has at least 200 data points. This means that the rows
multiplied by the columns is greater than or equal to 200.
•Must NOT be a dataset we used in labs / class.
•There is a link on canvas dedicated to helping you find datasets!
Deliverables
1. Project Report
2. Presentation
3. One Slide
Project Report
This is a jupyter notebook (.ipynb) file similar to what we have worked with all summer long. It must have
5 sections. Each section should clearly be labeled with a markdown chunk. There is a guide linked on
canvas for markdown syntax.
The five sections:
1. Dataset:
•In Markdown, explain what dataset you chose and why you chose it. Include why is it meaningful
to you and how you went about finding it. Then, in Python, load your dataset into a DataFrame.
The code to do that in colab is given below.
import pandas as pd
from google.colab import drive
drive.mount('/content/drive')
df =pd.read_csv('/content/drive/My Drive/file.csv')
1
