Bell Curve Chart

Also known as Normal Distribution Curve

1. What is a Bell Curve chart?

A Bell Curve is used to display data distribution across a specified group. Its peak is always at the center, and data goes down on either side of the curve.

When to use Bell Curve chart?

A Bell Curve (normal distributions) is used commonly in statistics, including in analyzing economic and financial data. This type of visualization is also used for the display of continuous distribution with a single variable.

2. How to build a Bell Curve chart with example

The Bell Curve chart, also known as a Gaussian distribution chart, is a powerful tool for analyzing the distribution of unit prices. By plotting unit prices along the horizontal axis and the frequency or count on the vertical axis, the Bell Curve chart provides a visual representation of how unit prices are distributed, allowing businesses to understand the central tendency, variability, and outliers in the price data, facilitating informed pricing strategies and decision-making based on a comprehensive understanding of the price distribution.

  1. Click Click here to add your first chart

  2. In the menu, select Bell Curve to create a bell curve chart

3. Bell Curve Chart Config

  1. Select the database you use to create suggested in the list

  2. Choose the table containing the data you use to create, then it will show you the list of fields included in the table

  3. Drag/drop or select the Value (numeric variable)

  4. Drag/drop or select the Filters field to emphasize a specific data (optional)

  5. You can see the visualization of your chart on the left side and select Settings to change the element’s settings


You can change the title of the chart, choose the font, color and size of the name. You can also add the subtitle and change its format.


Min/Max: Input the starting and ending values of the scale

You can change the font, color, and size of the text.

Target: The value used for target indicator


Change the gauge color for min, max, and average


If you turn the label on, it will display the raw value that the sectors represent. You can choose the style to perform (percent, value, raw), and choose the font, color, and size of the label and its position.


You can change the background color of the chart.


When you hover over a point on the curve, a text box appears to display information about the data of that point. You can change the text color, font, and background.


Change the display unit, precision, and other functions

Enable to apply dashboard filter, chart filter, or inner chart filter

6. After building the chart visualization, click Add to create your chart.

7. Your chart will show up along with actions like sharing, editing, etc.

We hope that the above instructions will be useful to you. Let's have a look at our other articles to learn more about using other charts in data visualization with Rocket.BI.

Last updated