# How to Describe the Shape of Histograms (With Examples)

A histogram is a type of chart that allows us to visualize the distribution of values in a dataset. The x-axis displays the values in the dataset and the y-axis shows the frequency of each value.

Depending on the values in the dataset, a histogram can take on many different shapes.

The following examples show how to describe a variety of different histograms.

### 1. Bell-Shaped

A histogram is bell-shaped if it resembles a “bell” curve and has one single peak in the middle of the distribution. The most common real-life example of this type of distribution is the normal distribution. ### 2. Uniform

A histogram is described as “uniform” if every value in a dataset occurs roughly the same number of times. This type of histogram often looks like a rectangle with no clear peaks. ### 3. Bimodal

A histogram is described as “bimodal” if it has two distinct peaks. We often say that this type of distribution has multiple modes – that is, multiple values occur most frequently in the dataset. Related: What is a Bimodal Distribution?

### 4. Multimodal

A histogram is described as “multimodal” if it has more than two distinct peaks. ### 5. Left Skewed

A histogram is left skewed if it has a “tail” on the left side of the distribution. Sometimes this type of distribution is also called “negatively” skewed. ### 6. Right Skewed

A histogram is right skewed if it has a “tail” on the right side of the distribution. Sometimes this type of distribution is also called “positively” skewed. ### 7. Random

The shape of a distribution can be described as “random” if there is no clear pattern in the data at all. 