1) Monthly Revenue for a Subscription Service
Scenario: A subscription service tracks its monthly revenue over six months. The revenue remains constant for the first few months and then increases as a price change is implemented.
Data Example (in $):
Month |
January |
February |
March |
April |
May |
June |
Revenue |
2000 |
2500 |
2500 |
3000 |
3000 |
3500 |
Purpose: The stepped line graph visualizes the changes in subscription revenue, clearly showing periods of stability and growth. It helps stakeholders easily identify when price changes or revenue increases occur.
Access the
file to analyze subscription revenue trends using a stepped line graph.
2) Product Defect Cost Over Time
Scenario: A company tracks its product defect costs over several months, with data showing a non-linear pattern due to changing production methods and quality control processes.
Data Example (in $):
Month |
January |
February |
March |
April |
May |
June |
Cost |
10000 |
12000 |
11500 |
8000 |
7500 |
6050 |
Purpose: The stepped line graph helps visualize the changes in product defect cost over time, clearly showing the impact of the new quality control process and when improvements were made.
Download the
file to visualize the changes in defect costs using a stepped line graph.
3) Customer Support Ticket Resolution
Scenario: A customer service department tracks the resolution of support tickets. The number of tickets resolved remains steady until additional staff or overtime is implemented, leading to a sudden increase in ticket resolutions.
Data Example (in tickets resolved):
Day |
Day 1 |
Day 2 |
Day 3 |
Day 4 |
Day 5 |
Day 6 |
Day 7 |
Tickets Resolved |
30 |
33 |
35 |
40 |
50 |
51 |
55 |
Purpose: The stepped line graph helps visualize customer support performance, highlighting improvements such as adding staff or extra hours, and showing when backlogs were cleared and tickets resolved.
Retrieve the
file to analyze ticket resolution patterns using a stepped line graph.