Why data logging matters for IoT in Raspberry Pi - See It in Action

Why Data Logging Matters for IoT

📖 Scenario: You have a Raspberry Pi connected to a temperature sensor in your home. You want to keep track of the temperature over time to see patterns and make smart decisions, like turning on a fan when it gets too hot.

🎯 Goal: Build a simple program that logs temperature readings into a dictionary, sets a threshold for high temperature, filters the readings above that threshold, and finally prints those high temperature readings.

📋 What You'll Learn

Create a dictionary with exact temperature readings at specific times

Add a threshold variable for high temperature

Use a dictionary comprehension to filter readings above the threshold

Print the filtered high temperature readings

💡 Why This Matters

🌍 Real World

IoT devices like Raspberry Pi collect sensor data continuously. Logging this data helps monitor conditions and make decisions automatically.

💼 Career

Understanding data logging and filtering is key for roles in IoT development, DevOps, and system monitoring.

1

Create temperature data dictionary

Create a dictionary called temperature_readings with these exact entries: '08:00': 22, '12:00': 28, '16:00': 31, '20:00': 26

Raspberry Pi

# Create a dictionary called temperature_readings with given time and temperature pairs
# Your code here

Need a hint?

Use curly braces {} to create a dictionary with time keys and temperature values.

2

Set high temperature threshold

Create a variable called high_temp_threshold and set it to 30

Raspberry Pi

temperature_readings = {'08:00': 22, '12:00': 28, '16:00': 31, '20:00': 26}
# Create a variable high_temp_threshold and set it to 30
# Your code here

Need a hint?

Just assign the number 30 to the variable high_temp_threshold.

3

Filter high temperature readings

Use a dictionary comprehension to create a new dictionary called high_temps that contains only the entries from temperature_readings where the temperature is greater than high_temp_threshold

Raspberry Pi

temperature_readings = {'08:00': 22, '12:00': 28, '16:00': 31, '20:00': 26}
high_temp_threshold = 30
# Create high_temps dictionary with readings above high_temp_threshold
# Your code here

Need a hint?

Use {key: value for key, value in dict.items() if condition} to filter the dictionary.

4

Print high temperature readings

Write a print statement to display the high_temps dictionary

Raspberry Pi

temperature_readings = {'08:00': 22, '12:00': 28, '16:00': 31, '20:00': 26}
high_temp_threshold = 30
high_temps = {time: temp for time, temp in temperature_readings.items() if temp > high_temp_threshold}
# Print the high_temps dictionary
# Your code here

Need a hint?

Use print(high_temps) to show the filtered dictionary.