Survey data analysis pattern in Data Analysis Python - Mini Project: Build & Apply

Survey Data Analysis Pattern

📖 Scenario: You work for a company that collects customer satisfaction surveys. Each survey has a customer's name and their satisfaction score from 1 to 10. You want to analyze this data to find which customers are satisfied based on a score threshold.

🎯 Goal: Build a simple program that stores survey data, sets a satisfaction threshold, filters customers who meet or exceed this threshold, and prints their names and scores.

📋 What You'll Learn

Create a dictionary with exact customer names and scores

Create a variable for the satisfaction threshold

Use a dictionary comprehension to filter satisfied customers

Print the filtered dictionary

💡 Why This Matters

🌍 Real World

Companies often collect survey data to understand customer satisfaction and improve their services.

💼 Career

Data analysts use similar patterns to filter and analyze survey or feedback data to generate insights.

1

Create the survey data dictionary

Create a dictionary called survey_data with these exact entries: 'Alice': 7, 'Bob': 4, 'Charlie': 9, 'Diana': 6, 'Ethan': 3

Data Analysis Python

# Create the survey_data dictionary with customer names and scores
# Your code here

Hint

Use curly braces {} to create a dictionary with keys as names and values as scores.

2

Set the satisfaction threshold

Create a variable called threshold and set it to 6 to represent the minimum score for satisfaction

Data Analysis Python

survey_data = {'Alice': 7, 'Bob': 4, 'Charlie': 9, 'Diana': 6, 'Ethan': 3}
# Create the threshold variable with value 6
# Your code here

Hint

Just assign the number 6 to a variable named threshold.

3

Filter satisfied customers using dictionary comprehension

Use a dictionary comprehension to create a new dictionary called satisfied_customers that includes only customers from survey_data with scores greater than or equal to threshold

Data Analysis Python

survey_data = {'Alice': 7, 'Bob': 4, 'Charlie': 9, 'Diana': 6, 'Ethan': 3}
threshold = 6
# Create satisfied_customers dictionary using comprehension
# Your code here

Hint

Use {name: score for name, score in survey_data.items() if score >= threshold} to filter.

4

Print the satisfied customers

Write a print statement to display the satisfied_customers dictionary

Data Analysis Python

survey_data = {'Alice': 7, 'Bob': 4, 'Charlie': 9, 'Diana': 6, 'Ethan': 3}
threshold = 6
satisfied_customers = {name: score for name, score in survey_data.items() if score >= threshold}
# Print the satisfied_customers dictionary
# Your code here

Hint

Use print(satisfied_customers) to show the filtered dictionary.