Final Project: Part 1
Data 100/200A: Principles and Techniques of Data Science
Fall 2021
The purpose of this project is to put into practice what you have learned in this course through the design
and implementation of a typical data science workflow, including data cleaning, visualization, exploratory
data analysis, feature selection, and modeling.
Your group will have the choice to select one of three different datasets which we will provide. Each
dataset will have a different set of guiding questions, but will more or less be graded similarly.
This is Part 1 of the project, where you will load and clean the data and produce some exploratory data
analysis both guided and on your own. After a review of your work, we will then release the second part.
Both these parts combined will make up your final report and submission.
Project Guidelines
The project involves carrying through the following steps.
1. Load and Clean Data
• Guided questions to read in the given the dataset(s)
• Guided questions to clean the dataset(s) to effectively complete the next steps in the project.
2. Exploratory Data Analysis (Learning set only.)
• Guided EDA questions
• Open Ended Exploration of the data
3. Design Review
• Write a report on your data exploration and your plan for analysis/modeling for part 2.
• Present your ideas to your TA in discussion section.
Timeline
Date (by EOD at 11:59pm) Event / Deliverable Relevant Links
11/3 Project Part 1 Released
11/5 Project Group Form Submitted Project Group Form
11/8 Project Dataset Form Submitted Project Dataset Form
11/17 Design Document Due
11/19-23 Design Document Review
11/24 Project Part 2 Released
12/13 Final Deliverable Due
1
Report Format and Submission
The project submission will be the autograder-generated zip file as well as the PDF of the design document.
1. Code. Use the provided starter notebooks to complete the following aspects of the project. Each
dataset will have their own starter notebook.
(a) Loading the Data
(b) Cleaning the Data
(c) Exploratory Data Analysis
Note: We will run the notebooks when grading, so please account for that.
2. Design Document Proposal. This typed portion of the notebook should summarize your workflow
and what you have learned. You should discuss your EDA, along with any questions that you have
come up with regarding the data. Additionally, you should have a proposal for the modeling portion
of the project.
• Describe the data.
• Explain what exploratory data analysis (EDA) you conducted on your own and provide presentable
data visualizations.
• Propose a problem that you will address with modeling. Perhaps this is a problem you discovered
while conducting EDA. Some potential questions to answer: What is the problem? Why is it
relevant/intriguing? How will your model address this problem?
• What sort of modeling do you plan on conducting? Carefully describe the methods you plan on
using and why they would be appropriate for the question to be answered.
Grading.
Part 1 of the project will be graded based on your code, design document, and design document review.
Grading Breakdown
• Part 1: 50%
Project Component %
Guided Cleaning 7
Guided EDA 10
Open Ended EDA 5
Design Document 18
Design Document Review 10
Point breakdown by question
• Part 2: 50%
Team work.
You must complete the project together with two other classmates. You will be graded equally. Your group
must consist of other students from your assigned discussion section, and you must have submitted the
Project Group form.
2





































































学霸联盟