1) Team Performance in a Tournament
Scenario: A football team’s goal-scoring performance is monitored daily from Monday to Sunday to track improvement and assess progress against a weekly target.
Data Example (in Number of Goals):
Day |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
Saturday |
Sunday |
Goals Scored |
4 |
5 |
6 |
7 |
5 |
7 |
8 |
Purpose: The line graph shows the team's goal-scoring performance throughout the week, allowing coaches and analysts to assess progress against the weekly target. This helps identify trends and areas for improvement in performance leading into the final day of the tournament.
For tracking the team’s goal-scoring progress, download the
file and visualize the performance with a dashed line graph.
2) E-commerce Sales Forecasting
Scenario: An e-commerce business tracks actual sales from January to May and projects sales for June based on the growth trend.
Data Example (in Thousands):
Month |
January |
February |
March |
April |
May |
June |
Sales |
2500 |
3200 |
3500 |
4000 |
4200 |
5000 |
Purpose: The line graph illustrates the business's sales growth over five months and the forecast for June. This helps the business plan inventory, marketing, and staffing, ensuring it meets its projected revenue goals.
To view the sales trends and projections, grab the
file and plot it as a dashed line graph for better insights.
3) Monthly Customer Support Tickets
Scenario: A company tracks the number of customer support tickets submitted each month to understand if there are periods of high customer dissatisfaction or product issues.
Data Example (in Number of Tickets):
Month |
January |
February |
March |
April |
May |
June |
Tickets |
500 |
520 |
600 |
550 |
530 |
510 |
Purpose: By using a dashed line graph, the company can see trends in customer issues, enabling them to address problems proactively and improve customer satisfaction.
Examine customer support trends by downloading the
file and create dashed line graph to uncover patterns.