Project overview
In this project, you’ll take on the role of a data analyst to explore and analyze a dataset from Hacker News, a popular tech-focused community site. You’ll apply your Python skills in string handling, object-oriented programming, and date management to uncover trends in user submissions. By analyzing how these factors relate to post popularity, you’ll develop insights on what drives engagement in this online community.
This practical project will strengthen your ability to interpret complex real-world datasets and enhance your data analysis skills. If you’re new to Jupyter Notebook or need a refresher, our Jupyter Notebook Guided Project can help you get set up.
Objective: Use your Python string handling, OOP, and date management skills to analyze Hacker News submissions, identifying key factors that contribute to post popularity and strengthening your analytical capabilities for real-world applications.
Key skill required
To complete this project, it's recommended to build these foundational skills in Python
- Employing loops in Python to explore CSV data
- Utilizing string methods in Python to clean data for analysis
- Processing dates from strings using the datetime library
- Formatting dates and times for analysis using strftime
Projects steps
Step 1: Introduction
Step 2: Removing Headers from a List of Lists
Step 3: Extracting Ask HN and Show HN Posts
Step 4: Calculating the Average Number of Comments for Ask HN and Show HN Posts
Step 5: Finding the Number of Ask Posts and Comments by Hour Created
Step 6: Calculating the Average Number of Comments for Ask HN Posts by Hour
Step 7: Sorting and Printing Values from a List of Lists
Step 8: Next Steps
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