1) Tracking Monthly Temperature vs Energy Consumption
Scenario: A household wants to analyze how seasonal temperature variations impact their electricity usage.
Data Example:
Average Monthly Temperature (°C) |
5 |
10 |
15 |
20 |
25 |
30 |
Energy Consumption (kWh) |
400 |
350 |
300 |
320 |
380 |
420 |
Purpose: The connected scatter chart helps homeowners understand the correlation between temperature changes and energy consumption, assisting in optimizing energy usage.
Download the
file to explore the data.
2) Analyzing Website Traffic vs Social Media Ad Spend
Scenario: A digital marketer wants to examine if increased social media advertising leads to higher website traffic.
Data Example:
Social Media Ad Spend (USD) |
10 |
20 |
30 |
40 |
50 |
60 |
Website Traffic (Visitors) |
100 |
150 |
250 |
320 |
400 |
450 |
Purpose: The connected scatter chart visually represents the relationship between ad spend and website visits, helping marketers make informed budget decisions.
Download the
file to analyze trends.
3) Studying Heart Rate Changes During Exercise
Scenario: A fitness coach wants to monitor how a person's heart rate fluctuates during a workout session.
Data Example:
Exercise Duration (Minutes) |
5 |
10 |
15 |
20 |
25 |
30 |
Heart Rate (BPM) |
80 |
100 |
120 |
140 |
130 |
110 |
Purpose: The connected scatter chart helps visualize how heart rate changes over time, assisting in optimizing workout intensity for better health.
Download the
file to study fitness trends.