Checking data types in Data Analysis Python - Mini Project: Build & Apply

Checking data types

📖 Scenario: You are working with a small dataset of different types of information collected from a survey. You want to check the type of each data item to understand what kind of data you have.

🎯 Goal: Build a simple Python program that stores different data items in a dictionary and then checks the data type of each item.

📋 What You'll Learn

Create a dictionary with exact keys and values as specified

Create a variable to hold the keys of the dictionary

Use a for loop to iterate over the keys and check the type of each value

Print the key and its data type in each iteration

💡 Why This Matters

🌍 Real World

Checking data types is important when cleaning and preparing data for analysis to avoid errors and understand the data better.

💼 Career

Data scientists and analysts often need to verify data types to ensure correct processing and analysis in their projects.

1

Create the data dictionary

Create a dictionary called survey_data with these exact entries: 'age': 30, 'name': 'Alice', 'height': 5.5, 'is_student': False

Data Analysis Python

# Create the dictionary survey_data with the given entries
# Your code here

Need a hint?

Use curly braces {} to create a dictionary. Separate keys and values with a colon, and separate items with commas.

2

Create a list of keys

Create a variable called keys that stores the list of keys from the survey_data dictionary using the keys() method.

Data Analysis Python

survey_data = {'age': 30, 'name': 'Alice', 'height': 5.5, 'is_student': False}
# Create a variable keys that holds the keys of survey_data
# Your code here

Need a hint?

Use list() to convert the keys view to a list.

3

Check data types with a loop

Use a for loop with variable key to iterate over keys. Inside the loop, get the value from survey_data using key and create a variable value_type that stores the type of this value using the type() function.

Data Analysis Python

survey_data = {'age': 30, 'name': 'Alice', 'height': 5.5, 'is_student': False}
keys = list(survey_data.keys())
# Use a for loop to iterate over keys and get the type of each value
# Your code here

Need a hint?

Use for key in keys: to loop. Use type() to find the data type.

4

Print the key and its data type

Inside the for loop, add a print() statement that shows the key and the value_type separated by a colon and a space. For example: age: <class 'int'>

Data Analysis Python

survey_data = {'age': 30, 'name': 'Alice', 'height': 5.5, 'is_student': False}
keys = list(survey_data.keys())
for key in keys:
    value = survey_data[key]
    value_type = type(value)
    # Print the key and its data type
    # Your code here

Need a hint?

Use an f-string in print() to format the output as key: value_type.