1) Tracking Stock Market Trends
Scenario: An investor monitors stock prices over six months to identify patterns.
Data Example ($):
Month |
January |
February |
March |
April |
May |
June |
Stock Price |
120 |
125 |
130 |
128 |
135 |
140 |
Purpose: A dotted line chart helps visualize fluctuations while maintaining a smooth representation of trends.
To visualize the stock market trends, download the
file and upload it into the above CSV option to create a detailed dotted line chart analysis.
2) Observing Temperature Variations
Scenario: A meteorologist tracks temperature changes over six weeks.
Data Example (°C):
Week |
Week 1 |
Week 2 |
Week 3 |
Week 4 |
Week 5 |
Week 6 |
Temperature |
15 |
17 |
16 |
18 |
19 |
21 |
Purpose: A dotted line chart highlights minor changes in temperature trends.
To visualize the temperature variations, download the
file and upload it into the above CSV option to create a detailed dotted line chart analysis.
3) Monitoring Fitness Progress
Scenario: An individual records weekly running distances.
Data Example (km):
Week |
Week 1 |
Week 2 |
Week 3 |
Week 4 |
Week 5 |
Week 6 |
Distance |
5 |
6 |
7 |
7.5 |
8 |
9 |
Purpose: The dotted line chart visually represents gradual improvements in running endurance.
To visualize the fitness progress, download the
file and upload it into the above CSV option to create a detailed dotted line chart analysis.