Portfolio Project: Prison Break
- Guided Project
- 1.4 hours
- Beginner
- Python
Practice using JupyterLab to analyze real-world data on helicopter prison escapes.
Overview
In this project, you'll assume the role of a data analyst tasked with exploring a real-world dataset on helicopter prison escapes. Using Python in JupyterLab, you'll apply data wrangling techniques to clean and analyze the data, uncovering trends such as the countries and years with the most escape attempts.
This project provides hands-on experience with essential data analysis skills in Python and JupyterLab. You'll learn to load data, use loops and functions to clean and transform it, create visualizations, and draw meaningful conclusions. By analyzing an intriguing real-world dataset, you'll build a compelling project for your portfolio.
Objective: Use Python and Jupyter Notebook to analyze a dataset on helicopter prison escapes, identifying key trends and developing data storytelling skills.
What You'll Learn
- ✓ Run code in jupyter
- ✓ Add text to notebook cells
Before You Start
- ✓ Working with Python variables and data types
- ✓ Running Python code in Jupyter Notebook cells
- ✓ Adding text to Jupyter cells
- ✓ Using Jupyter to analyze data and document work
Project Steps
14 steps
- 1 JupyterLab
- 2 Running Code
- 3 Running Code Using the Keyboard
- 4 Helicopter Escapes!
- 5 Get the Data
- 6 Text and Markdown Cells
- 7 Removing the Details
- 8 Extracting the Year
- 9 Attempts per Year I
- 10 Attempts per Year II
- 11 Attempts per Year III
- 12 Attempts by Country
- 13 Review
- 14 Takeaways
Join 1M+ data learners on Dataquest.
- 1
Create a free account
- 2
Choose a learning path
- 3
Complete exercises and projects
- 4
Advance your career