1) Website Traffic Analysis
Scenario: A website wants to analyze its monthly traffic growth over six months to identify trends and potential areas for improvement.
Data Example (in Thousands):
Month |
January |
February |
March |
April |
May |
June |
Website |
100 |
120 |
150 |
220 |
230 |
250 |
Purpose: The dotted line graph illustrates consistent traffic growth, with significant spikes in May and June, highlighting peak periods and informing strategies to enhance engagement during these months.
Access the
file and upload it through the above CSV option to build a dotted line graph that showcases the rise in leads generated through your marketing campaigns over six months.
2) Marketing Campaign Performance
Scenario: A business wants to track the number of leads generated through its marketing campaigns over six months.
Data Example (in Leads):
Month |
January |
February |
March |
April |
May |
June |
Leads Generated |
300 |
350 |
400 |
500 |
600 |
750 |
Purpose: Shows consistent growth in leads, with a significant rise in May and June, highlighting the success of marketing campaigns and guiding the optimization of strategies and resources.
Download the
and upload it through the above CSV option to create a dotted line graph that tracks the progression of leads generated by your marketing campaigns across six months.
3) Weekly Temperature Variations
Scenario: A meteorologist tracks daily temperature changes throughout the week to observe short-term weather trends.
Data Example (in °C):
Day |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
Saturday |
Sunday |
Temperature |
22 |
23 |
21 |
20 |
19 |
18 |
22 |
Purpose: The dotted line graph shows daily temperature fluctuations, highlighting the cooling trend midweek and the recovery on Sunday, helping to understand short-term weather patterns.
Get the
and upload it through the above CSV option to generate a dotted line graph that tracks the variations in temperature throughout the week.