1) Correlation Between Advertising Budget and Sales
Scenario: A company wants to analyze whether spending more on advertising leads to increased sales.
Data Example (in USD):
Advertising Budget |
5 |
10 |
15 |
20 |
25 |
30 |
Sales Revenue |
50 |
70 |
90 |
110 |
130 |
150 |
Purpose: The scatter chart helps visualize the relationship between advertising expenditure and revenue. Identifying trends in the data can assist businesses in optimizing marketing budgets.
Download the
file to explore the correlation in a scatter chart.
2) Relationship Between Study Hours and Exam Scores
Scenario: An education institute wants to understand if students who study more score higher in exams.
Data Example:
Study Hours |
1 |
2 |
3 |
4 |
5 |
6 |
Exam Score |
50 |
60 |
70 |
80 |
85 |
90 |
Purpose: The scatter chart allows easy visualization of the impact of study hours on exam performance, helping educators provide better study recommendations.
Download the
file to analyze the trends in a scatter chart.
3) Analyzing Customer Age vs Purchase Frequency
Scenario: A retail store wants to determine if customer age influences how often they make purchases.
Data Example:
Customer Age |
18 |
25 |
35 |
45 |
55 |
65 |
Purchase Frequency (per month) |
5 |
8 |
10 |
7 |
5 |
3 |
Purpose: This scatter chart helps businesses understand shopping behaviors across different age groups, allowing targeted marketing strategies.
Download the
file to visualize customer behavior trends in a scatter chart.