# Viewing the distribution of data over intervals with a histogram

This example shows how to make a histogram to the distribution of data over intervals, using weather data.

![Histogram with the dimension Average of the 24 hourly temperature observations in degrees Celsius.](https://help.qlik.com/en-US/sense/November2024/Subsystems/Hub/Content/Resources/Images/ex_gen_histogram_example.png)

## Dataset

In this example, we'll use the following weather data.

* Location: Sweden > Gällivare Airport
* Date range: all data from 2010 to 2017
* Measurement: Average of the 24 hourly temperature observations in degrees Celsius

The dataset that is loaded contains a daily average temperature measurement from a weather station in the north of Sweden during the time period of 2010 to 2017.

## Visualization

We add a histogram to the sheet and add the field Average of the 24 hourly temperature observations in degrees Celsius as dimension.

The visualization creates a frequency measure automatically, and sorts the temperature measurements into a number of bars according to frequency distribution.

We can adjust the size of the bars to get even intervals, by setting Bars to Custom and Bar width (x-axis) with a width of 5. This adjusts the bars to be intervals of 5 degrees Celsius as shown below:

![Histogram with the dimension Average of the 24 hourly temperature observations in degrees Celsius.](https://help.qlik.com/en-US/sense/November2024/Subsystems/Hub/Content/Resources/Images/ex_gen_histogram_example.png)

## Discovery

The histogram visualizes the frequency distribution of the temperature measurements. You can hover the mouse over a bar to see more details of the frequency.

We can see that most days, the temperature is between -5 and 15 degrees Celsius. There are days below -30, but they are not many.