## Introduction

In this tutorial, we want to compare two datasets with a **Scatterplot**. In order to do this, we use the **scatter()** function of **Matplotlib**.

## Import Libraries

First, we import the **Pyplot** submodule. The **Pyplot **submodule contains a collection of important functions such as the **plot()** function or the **scatter() **function. In addition, we import **NumPy**.

```
import matplotlib.pyplot as plt
import numpy as np
```

## Define Data

Now, let's define two example **datasets**. In order to do this, we create the following **NumPy **Arrays:

```
x1 = np.array([1, 2, 3, 4, 7])
y1 = np.array([4, 6, 10, 12, 13])
x2 = np.array([1, 4, 5, 6, 8])
y2 = np.array([3, 7, 6, 10, 14])
```

## Scatter Plot

Now, we want to compare these two **datasets**. In the following, we use the **scatter()** function with the default configuration. The two plots are generated with different colors.

```
plt.scatter(x1,y1)
plt.scatter(x2,y2)
plt.show()
```

## Conclusion

Congratulations! Now you are one step closer to become an **AI Expert**. You have seen that it is very easy to **compare multiple datasets** with a **Scatterplot**. We can simply use the **scatterplot()** function of **Matplotlib**. Try it yourself!

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