IoT analytics and dashboards in IOT Protocols - Mini Project: Build & Apply

IoT Analytics and Dashboards

📖 Scenario: You work for a smart home company. They collect temperature data from many sensors in different rooms. Your job is to help analyze this data and create a simple dashboard summary.

🎯 Goal: Build a small program that stores temperature readings, sets a threshold, filters readings above the threshold, and then displays the filtered results as a dashboard summary.

📋 What You'll Learn

Create a dictionary with room names as keys and temperature readings as values

Add a threshold variable to filter high temperatures

Use a dictionary comprehension to select rooms with temperatures above the threshold

Print the filtered dictionary as the dashboard output

💡 Why This Matters

🌍 Real World

IoT devices often send sensor data like temperatures. Analyzing this data helps monitor environments and trigger alerts.

💼 Career

DevOps engineers and IoT developers use such data filtering and dashboard summaries to maintain and improve smart systems.

1

Create temperature data dictionary

Create a dictionary called temperatures with these exact entries: 'Living Room': 22, 'Kitchen': 27, 'Bedroom': 20, 'Bathroom': 25, 'Garage': 18.

IOT Protocols

# Create the temperatures dictionary with exact room names and values
# Your code here

Hint

Use curly braces {} to create the dictionary with keys and values separated by colons.

2

Set temperature threshold

Create a variable called threshold and set it to 23 to filter rooms with temperatures above this value.

IOT Protocols

temperatures = {'Living Room': 22, 'Kitchen': 27, 'Bedroom': 20, 'Bathroom': 25, 'Garage': 18}
# Create the threshold variable and set it to 23
# Your code here

Hint

Just assign the number 23 to the variable threshold.

3

Filter rooms above threshold

Use a dictionary comprehension to create a new dictionary called high_temps that includes only rooms from temperatures with values greater than threshold. Use room and temp as the loop variables.

IOT Protocols

temperatures = {'Living Room': 22, 'Kitchen': 27, 'Bedroom': 20, 'Bathroom': 25, 'Garage': 18}
threshold = 23
# Create high_temps dictionary with rooms having temperature > threshold
# Your code here

Hint

Use {room: temp for room, temp in temperatures.items() if temp > threshold} to filter.

4

Display dashboard output

Print the high_temps dictionary to display the filtered rooms and their temperatures.

IOT Protocols

temperatures = {'Living Room': 22, 'Kitchen': 27, 'Bedroom': 20, 'Bathroom': 25, 'Garage': 18}
threshold = 23
high_temps = {room: temp for room, temp in temperatures.items() if temp > threshold}
# Print the high_temps dictionary
# Your code here

Hint

Use print(high_temps) to show the filtered dictionary.

Practice

1. What is the main purpose of an IoT analytics dashboard?

easy

A. To visually display and monitor IoT device data

B. To control IoT devices remotely

C. To store raw IoT data without processing

D. To update firmware on IoT devices

Solution

1. Step 1: Understand the role of IoT analytics

   IoT analytics processes device data to create insights.

2. Step 2: Identify dashboard function

   Dashboards show these insights visually for easy monitoring.

3. Final Answer:

   To visually display and monitor IoT device data -> Option A

4. Quick Check:

   Dashboard = Visual monitoring [OK]

Hint: Dashboards show data visually to help monitor devices [OK]

Common Mistakes:

• Confusing dashboards with device control tools
• Thinking dashboards only store data
• Assuming dashboards update device firmware

2. Which of the following is the correct JSON snippet to define a simple IoT dashboard widget showing temperature?

easy

A. {type: "gauge", title: "Temp", data: "temperature"}

B. {"widget": gauge, "title": Temp, "data": temperature}

C. {"type": "gauge", "title": "Temp", "data": "temperature"}

D. {"type": gauge, "title": "Temp", "data": temperature}

Solution

1. Step 1: Check JSON syntax rules

   Keys and string values must be in double quotes.

2. Step 2: Validate each option

   {"type": "gauge", "title": "Temp", "data": "temperature"} uses correct JSON syntax with quotes around keys and strings.

3. Final Answer:

   {"type": "gauge", "title": "Temp", "data": "temperature"} -> Option C

4. Quick Check:

   Proper JSON syntax = {"type": "gauge", "title": "Temp", "data": "temperature"} [OK]

Hint: JSON keys and strings need double quotes [OK]

Common Mistakes:

• Missing quotes around keys or string values
• Using single quotes instead of double quotes
• Leaving keys or strings unquoted

3. Given this dashboard configuration snippet:

{"widgets": [{"type": "line_chart", "data": [10, 20, 30]}]}

What will the dashboard display?

medium

A. A line chart showing points 10, 20, and 30

B. A bar chart showing points 10, 20, and 30

C. An error due to missing title field

D. A table listing values 10, 20, and 30

Solution

1. Step 1: Identify widget type

   The widget type is "line_chart", so it will display a line chart.

2. Step 2: Check data values

   Data array [10, 20, 30] are points to plot on the chart.

3. Final Answer:

   A line chart showing points 10, 20, and 30 -> Option A

4. Quick Check:

   Widget type "line_chart" = line chart display [OK]

Hint: Widget type defines chart style shown [OK]

Common Mistakes:

• Confusing line_chart with bar_chart
• Assuming missing title causes error
• Thinking data displays as a table

4. You have this dashboard JSON:

{"widgets": [{"type": "gauge", "data": temperature}]}

Why does the dashboard fail to load?

medium

A. Incorrect widget type 'gauge'

B. Missing quotes around the string 'temperature'

C. Data array is empty

D. Extra comma after last widget

Solution

1. Step 1: Check JSON syntax for data field

   Value temperature is unquoted, so JSON is invalid.

2. Step 2: Confirm correct widget type

   "gauge" is a valid widget type, so not the cause.

3. Final Answer:

   Missing quotes around the string 'temperature' -> Option B

4. Quick Check:

   Unquoted string in JSON = syntax error [OK]

Hint: Strings in JSON must have double quotes [OK]

Common Mistakes:

• Assuming widget type is wrong
• Ignoring missing quotes on strings
• Thinking empty data causes failure

5. You want to create a dashboard that alerts when temperature exceeds 75 degrees and shows a red warning. Which configuration snippet correctly adds this alert?

hard

A. {"alerts": [{"metric": "temperature", "condition": "<75", "color": "red"}]}

B. {"alerts": [{"metric": "temperature", "condition": ">=75", "color": "green"}]}

C. {"alerts": [{"metric": temperature, "condition": ">75", "color": red}]}

D. {"alerts": [{"metric": "temperature", "condition": ">75", "color": "red"}]}

Solution

1. Step 1: Identify correct alert condition

   Alert triggers when temperature is greater than 75, so condition ">75" is correct.

2. Step 2: Check alert color for warning

   Red color indicates warning, so "color": "red" is correct.

3. Step 3: Validate JSON syntax

   {"alerts": [{"metric": "temperature", "condition": ">75", "color": "red"}]} uses proper quotes around strings and keys.

4. Final Answer:

   {"alerts": [{"metric": "temperature", "condition": ">75", "color": "red"}]} -> Option D

5. Quick Check:

   Alert condition ">75" with red color = {"alerts": [{"metric": "temperature", "condition": ">75", "color": "red"}]} [OK]

Hint: Alert condition and color must match requirement [OK]

Common Mistakes:

• Using wrong comparison operator
• Missing quotes around strings
• Choosing wrong alert color