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Star Wars Survey

For this project, you’ll become a data analyst exploring FiveThirtyEight’s Star Wars survey data. You’ll use Python and pandas to map values, compute statistics, and analyze the data to uncover fan film preferences.

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4.8 (359 reviews)
366,013 learners enrolled in this project
  • Beginner
  • Jupyter project
  • 9 steps
  • Python
Alejandro Giraldo Riveros

“The projects were really helpful because they provided a way to see how all the things I learned work.”

Alejandro Giraldo Riveros

Environment Engineer & Data Analyst

Star Wars Survey

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Project overview

In this project, you’ll take on the role of a data analyst to explore and analyze FiveThirtyEight’s Star Wars survey data. You’ll apply your Python and pandas skills to clean messy, real-world data and uncover insights into fan film preferences and opinions.

You’ll wrangle data by mapping yes/no columns to Booleans, converting checkbox responses, renaming columns, and computing statistics to determine the highest-ranked and most-viewed Star Wars films. Comparing results between demographic segments will reveal differing fan preferences. This project provides hands-on practice with key data cleaning and analysis techniques essential for data analyst roles across industries.

Objective: Use Python and pandas to clean and analyze Star Wars survey data, identifying fan preferences and demographic trends to guide business decisions around the Star Wars franchise.

Key skill required

To complete this project, it's recommended to build these foundational skills in Python

  • Exploring and cleaning data using pandas
  • Combining datasets and performing joins in pandas
  • Applying functions over columns in pandas DataFrames
  • Analyzing survey data using pandas

Projects steps

Step 1: How Guided Projects Work

Step 2: Overview

Step 3: Cleaning and Mapping Yes/No Columns

Step 4: Cleaning and Mapping Checkbox Columns

Step 5: Cleaning the Ranking Columns

Step 6: Finding the Highest-Ranked Movie

Step 7: Finding the Most Viewed Movie

Step 8: Exploring the Data by Binary Segments

Step 9: Next Steps

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