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* A scatter plot is a type of data visualization that uses dots to show values for two variables, with one variable on the x-axis and the other on the y-axis. It's useful for identifying relationships, trends, and correlations, as well as spotting clusters and outliers.
* The dots on the plot shows how the variables are related. A scatter plot is made with the matplotlib library's `scatter() method`.
## Syntax
**Here's how to write code for the scatter() method:**
**Here's how to write code for the `scatter() method`:**
```
matplotlib.pyplot.scatter (x_axis_value, y_axis_value, s = None, c = None, vmin = None, vmax = None, marker = None, cmap = None, alpha = None, linewidths = None, edgecolors = None)
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When executed, this will show the following Scatter plot:
![Basic line Chart](images/simple_scatter.png)
## Compare Plots
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When executed, this will show the following Compare Scatter plot:
![Compare Plots](images/scatter_compare.png)
## Colors in Scatter plot
You can set your own color for each scatter plot with the `color` or the `c` argument:
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When executed, this will show the following Colors Scatter plot:
![Colors in Scatter plot](images/scatter_color.png)
## Color Each Dot
You can even set a specific color for each dot by using an array of colors as value for the `c` argument:
``**Note:** You cannot use the `color` argument for this, only the `c` argument.``
``Note: You cannot use the `color` argument for this, only the `c` argument.``
```
import matplotlib.pyplot as plt
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When executed, this will show the following Color Each Dot:
![Color Each Dot](images/scatter_coloreachdot.png)
## ColorMap
The Matplotlib module has a number of available colormaps.
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Here is an example of a colormap:
![ColorMap](images/img_colorbar.png)
This colormap is called 'viridis' and as you can see it ranges from 0, which is a purple color, up to 100, which is a yellow color.
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When executed, this will show the following Scatter ColorMap:
![Scatter ColorMap](images/scatter_colormap1.png)
You can include the colormap in the drawing by including the `plt.colorbar()` statement:
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When executed, this will show the following Scatter ColorMap using `plt.colorbar()`:
![Scatter ColorMap1](images/scatter_colormap2.png)