1) Analyzing Product Sales vs. Customer Ratings
Scenario: A retail company wants to study how product ratings influence sales, with bubble size representing the number of reviews.
Data Example:
Product Sales (units) |
500 |
1200 |
2500 |
4000 |
5500 |
Average Customer Rating (out of 5) |
3.5 |
4.0 |
4.5 |
4.8 |
5.0 |
Number of Reviews (Bubble Size) |
10 |
20 |
30 |
40 |
50 |
Purpose: The symbol bubble chart helps retailers identify which products have high sales and positive customer feedback.
Download the
file to visualize product performance in a symbol bubble chart.
2) Analyzing Advertising Spend vs. Conversion Rate
Scenario: A marketing team wants to compare the effectiveness of different advertising channels, with bubble size indicating audience reach.
Data Example:
Ad Spend (in thousand USD) |
10 |
30 |
50 |
80 |
120 |
Conversion Rate (%) |
2.5 |
3.2 |
4.0 |
5.5 |
6.8 |
Audience Reach (in thousands) (Bubble Size) |
10 |
20 |
25 |
30 |
35 |
Purpose: The symbol bubble chart helps marketers evaluate which ad campaigns yield the highest conversions for the budget spent.
Download the
file to analyze marketing effectiveness using a symbol bubble chart.
3) Analyzing Fuel Efficiency vs. Vehicle Weight
Scenario: An automobile manufacturer wants to analyze the impact of vehicle weight on fuel efficiency, with bubble size representing engine power.
Data Example:
Vehicle Weight (kg) |
800 |
1200 |
1500 |
1800 |
2200 |
Fuel Efficiency (km/l) |
20 |
18 |
15 |
12 |
10 |
Engine Power (HP) (Bubble Size) |
10 |
20 |
25 |
30 |
32 |
Purpose: The symbol bubble chart helps engineers and manufacturers optimize vehicle design for better fuel efficiency.
Download the
file to study automobile efficiency in a symbol bubble chart.