1) Energy Production by Source
Scenario: An energy company tracks the monthly energy production from solar source to understand seasonal trends and optimize energy resource planning.
Data Example (in kWh):
| Month |
January |
February |
March |
April |
May |
June |
| Solar |
2000 |
3000 |
1500 |
2700 |
5500 |
4000 |
Purpose: This graph helps the energy company monitor the fluctuations in solar energy production throughout the year, highlighting seasonal variations. It enables better planning for energy distribution and resource optimization, ensuring efficient management of solar energy production.
Explore the solar energy production trends by downloading the
file and create round line graph to analyze monthly variations.
2) Product Defects in Manufacturing
Scenario: A manufacturer tracks the number of product defects reported each month to ensure quality control and improve production processes.
Data Example (in Number of defects):
| Month |
January |
February |
March |
April |
May |
June |
| Product Defects |
50 |
75 |
40 |
60 |
30 |
55 |
Purpose: A round line graph helps the company monitor defect trends, pinpoint the causes of spikes, and implement corrective actions to maintain product quality.
To track monthly product defects, simply download the
file and visualize the data with a round line graph showing defect patterns.
3) Annual Retail Store Foot Traffic
Scenario: A retail business tracks the foot traffic in its store to evaluate the effectiveness of in-store promotions and product displays.
Data Example (in Thousands):
| Year |
2019 |
2020 |
2021 |
2022 |
2023 |
2024 |
| Foot Traffic |
120 |
100 |
150 |
180 |
130 |
220 |
Purpose: A round line graph helps visualize the increase or decrease in foot traffic, aiding the business in adjusting store layouts, sales strategies, and marketing tactics.
Understand foot traffic trends in the store by downloading the
file, then create round line graph to explore foot traffic fluctuations over time.