Histograms and their datasets can be classified based on the shape of the graphed values. In the next two exercises, we’ll look at two different ways of describing histograms.

One way to classify a dataset is by counting the number of distinct *peaks* present in the graph. Peaks represent concentrations of data. Let’s look at the following examples:

A *unimodal* dataset has only one distinct peak.

A *bimodal* dataset has two distinct peaks. This often happens when the data contains two different populations.

A *multimodal* dataset has more than two peaks.

A *uniform* dataset doesn’t have any distinct peaks.

### Instructions

**1.**

Determine the distribution shape of **Graph A** and save your answer (as a string) to the variable `graph_a`

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**2.**

Determine the distribution shape of **Graph B** and save your answer (as a string) to the variable `graph_b`

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**3.**

Determine the distribution shape of **Graph C** and save your answer (as a string) to the variable `graph_c`

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