5 - Survey Analysis in Python: Statistical Techniques for Data Science
Learn how to perform survey analysis using Python with this step-by-step tutorial. This video covers the basics of working with survey data, including how to store responses, count and filter answers, handle missing information, and use built-in Python functions for efficient analysis. You will also discover how to summarize findings and present your results clearly.
No prior experience is required. Follow along as we demonstrate practical coding techniques, from building simple data structures to creating summary tables and handling real-world data challenges. By the end, you will be able to analyze survey responses and extract meaningful insights using Python.
00:00 Introduction to survey analysis in Python
00:17 Setting up your workspace
00:41 What is survey data
01:10 Building sample survey responses
01:36 Viewing and modifying survey entries
01:52 Counting survey participants
02:12 Why use lists and dictionaries
02:37 Calculating average age
03:09 Finding the most popular color
03:47 Filtering pizza lovers
04:19 Filtering by age
04:51 Handling missing data
05:27 Updating and cleaning survey entries
06:16 Using built-in analysis functions
06:42 Finding oldest and youngest participants
07:05 Identifying unique colors
07:24 Using enumerate for order
07:45 List comprehensions for filtering
08:06 Sorting survey data
08:29 Filtering non-pizza lovers
08:49 Mini project summary
09:30 Interactive color search
10:04 Safe data access with get
10:27 Handling key errors
10:52 Creating a stats table
11:14 Challenge exercises
11:56 Recap and next steps
12:29 Final thoughts and thank you
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