Line Chart Maker
*Export without watermark after clearing.
*Importing to Excel will overwrite the original data, cell A1 cannot be empty.
*It is recommended to log in and use it on a computer, Google Chrome is best.
Line Chart Maker Introduction
Make a line chart online to convert data into a visual line chart. After the line chart is created, it can be downloaded and saved locally.
What is a line chart?
A line chart is a common type of chart used to visualize data. It consists of a series of connected data points connected by straight line segments to show the trend of data changes over a certain variable (usually time or a continuous variable). Line charts are widely used for their simple form and powerful data trend analysis functions.
The following are data types and scenarios suitable for line charts:
Time series data:
Line charts are very suitable for displaying time series data, such as stock price trends, temperature changes, sales trends, population growth, etc. In a line chart, time is usually placed on the horizontal axis, and the corresponding values are placed on the vertical axis, allowing people to clearly see the changes in data over time.
Trend analysis:
If you want to analyze the trend of data, a line chart is an ideal choice. By observing the trend of the line, you can identify the rising, falling, cyclical or seasonal trends of the data.
Comparing multiple data series:
Line charts can be used to compare multiple data series at the same time, such as comparing sales trends of different products, stock price performance of different companies, temperature changes in different regions, etc. Each data series is represented by a separate line, making the comparison intuitive.
Data fluctuations:
Line charts are also useful if you want to show fluctuations or oscillations in your data. It can help you identify the magnitude and frequency of fluctuations in your data.
Continuous variable relationships:
When you have a relationship between two or more continuous variables, a line chart can be used to show the association between them. For example, showing the relationship between temperature and air humidity.
Forecasting and trend prediction:
Line charts can be used to help predict future trends. By fitting a trend line or using time series analysis methods, you can predict the value of future data points.
Scientific research:
In scientific research, line charts are often used to visualize experimental results, data collection, and changes in monitoring processes.