Project Walkthrough with Object Oriented matplotlib and pandas: Star Wars Survey Analysis

In this video, Dataquest’s Director of Curriculum, Anna Strahl, will guide you through how to clean and analyze real survey data using Python and pandas, while diving into the world of Star Wars fandom.

You’ll take on the role of a data analyst working with survey results from FiveThirtyEight to uncover insights about viewer preferences, film rankings, and demographic trends. By the end of the session, you’ll be able to apply essential data cleaning and analysis techniques to answer real-world business questions using survey data.

This project is ideal for learners who are comfortable with Python and want to strengthen their data wrangling, statistical analysis, and storytelling skills using pandas.

What You'll Learn:
Data Cleaning with pandas: Clean messy survey data by mapping yes/no columns, converting checkbox responses, and renaming columns
Exploratory Analysis: Calculate statistics to identify the most viewed and highest-ranked Star Wars films.
Demographic Comparison: Analyze results by binary segments to uncover trends in fan preferences.
Real-World Data Application: Work with actual survey data to practice hands-on analysis and storytelling.

Recommended Prerequisites:
Data Project Cleaning Walkthrough → https://www.dataquest.io/course/data-...

Access the Project: https://www.dataquest.io/projects/gui...

Video chapters:
00:00:00 - Intro
00:03:14 - Read in data
00:06:27 - Exploratory analysis
00:10:20 - Data cleaning
00:19:09 - Which movies do people like most?
00:20:50 - Object oriented matplotlib
00:31:49 - How many people have seen each movie?
00:34:40 - Compare males vs. females
00:50:31 - Next Steps
00:51:31 - Q&A

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