The line chart, a type of comparison chart, connects data points with a series of continuous line segments to reflect the trend of data changes over time, categories, or ordered variables. It emphasizes the continuity and rate of change between data points rather than the specific values of individual data points.
ProcessOn supports online creation of line charts and offers a vast number of line chart templates and examples for easy drawing of professional and aesthetically pleasing line charts.
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Axes: The horizontal axis (X-axis) defines the independent variable (such as time, categories), and the vertical axis (Y-axis) defines the dependent variable (such as values, percentages).
Data Line: The data line marks the position of specific values, and the line connects data points to form a trend line.
Legend and Data Labels: The legend explains the meaning of the lines, and data labels directly display the values.
Line charts can be divided into multiple types based on the number of data series being compared and the application scenarios. The most common line charts are basic line charts, multiple line charts, stacked line charts, and percentage stacked line charts.
The most basic line chart, which only shows the continuous change of a single data series over time or ordered categories.
Suitable for trend analysis of a single dataset, such as sales trends, stock prices, temperature changes, etc.
Overlay multiple lines in the same coordinate system to compare the synchronous changes of different data series.
Suitable for comparing changes in multiple variables, such as comparing sales of different products, temperature changes in different regions, etc.
Similar to a stacked bar chart but presented in line form, each line represents a dataset, and the area between lines is filled to represent cumulative values.
Suitable for showing cumulative changes in data, such as market share, inventory levels, etc.
Similar to a stacked line chart, but the sum of all lines is always 100%, used to show the proportional change of each part in the whole.
Suitable for analyzing the proportion change of each part in the whole, such as the sales proportion of different categories, the growth proportion of users in different age groups, etc.
Drag the 'Text' graphic from the 'Basic Graphics' section on the right to above the line chart, double-click to set the title.
Double-click the line chart, and add text or numbers in the dashed box after the existing category or series in the right menu.
Double-click the line chart, and you can hide the legend in the right menu.
Double-click the line chart, select the series, category name, or specific data in the right menu, click the 'Delete' button, and choose to delete the entire row or column.
The text, lines, and graphic styles of line charts under the 'Chart' category cannot be modified. You can use graphic elements like rectangles under 'Basic Graphics' to draw a line chart, which allows modification of text, lines, and graphic styles.
Click the 'Download' button in the upper right corner to export the line chart as PNG, JPG, PDF, etc.
A line chart focuses on showing the trend of data changes over time, suitable for continuous data or observing time series. A bar chart emphasizes comparisons between categories, suitable for displaying static or categorized data.
