LINE GRAPHS
Line graphs visually represent data points with connected lines, illustrating trends over a continuous dataset. They are useful for showing changes or patterns over time, making it easy to identify fluctuations, trends, and relationships within the data. Line graphs are essential for tracking and analyzing time-dependent data in a clear and concise manner.
Examples
Here are some great examples of how line charts should be used.
Time driven data analysis ●
Data that changes over time.
Line charts can be used to visualize data that fluctuates or changes over time. They are widely used in stock market analysis, as shown below.
Google's stock prices over time.
Apple's stock prices over time.
Trend Analysis and Forecasting ●
Analyzing trends in business and predicting future trends.
These charts can also be used to present sales data and trends, helping businesses decide what's next.
Sales of various Apple products.
Scientific Data Visualization ●
Presenting scientific real world data.
These charts are also used by scientists, researchers and experts to present scientific data from their studies.
Environmental CO2 Levels.
Analyze line graphs
Population ●
Population of the most populated countries 2003-2023
Gross Domestic Product ●
GDP of the most populated countries 2018-2022
Create your own line graph.
Create your own minimalistic yet insightful line graph! Get started with changing the values in the table and generate a beautiful graph.
| Series | Data1 | Data2 | Data3 | Data4 | Data5 | Data6 | Data7 | Data8 | Data9 | Data10 |
|---|---|---|---|---|---|---|---|---|---|---|
| Series 1 | 10 | 20 | 40 | 50 | 44 | 33 | 78 | 56 | 43 | 24 |
| Series 2 | 15 | 25 | 45 | 42 | 99 | 53 | 23 | 12 | 39 | 69 |
| Series 3 | 20 | 37 | 100 | 44 | 122 | 121 | 98 | 89 | 87 | 78 |