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# Scatter

A scatter plot, or chart, uses dots to represent numerical values for two variables. The position of each dot on the horizontal and vertical axis indicates the values for each data point. Scatter plots are used to verify relationships between variables.

## The Method To Use <a href="#the-method-to-use" id="the-method-to-use"></a>

The method is `s.plt.scatter()`.

It must contain the following input variables:

```python
order: int 
point_fields: Union[List[Tuple[str, str]], Tuple[str, str]]
data: Union[str, DataFrame, List[Dict]]
```

Accepts the following input variables as optional:

```python
x_axis_name: Optional[str] 
y_axis_name: Optional[str]
title: Optional[str]
rows_size: Optional[int]
cols_size: Optional[int]
padding: Optional[List[int]]
show_values: Optional[List[str]]
option_modifications: Optional[Dict]
variant: Optional[str]
```

## Examples <a href="#examples" id="examples"></a>

### 1. Default Configuration <a href="#id-1.-default-configuration" id="id-1.-default-configuration"></a>

If the code runs with data, menu\_path and axes configured as this:

```python
# https://figshare.com/articles/dataset/Age_height_and_weight_raw_data/16920130
df = pd.read_csv('../data/scatter_test.csv')[
    ['AgeGroup1', 'AgeGroup2', 'AgeGroup3', 'AllGroupAge', 'WeightGroup1',
    'WeightGroup2', 'WeightGroup3', 'AllGroupWeight']
]

s.plt.scatter(
    data=df, order=0, point_fields=[
        ('AgeGroup1', 'WeightGroup1'), ('AgeGroup2', 'WeightGroup2'),
        ('AgeGroup3', 'WeightGroup3'), ('AllGroupAge', 'AllGroupWeight')],
)
```

![The scatter plot in the default configuration.](/files/DX58IPUqWZ42vr7lpsMI)

### 2.  Customization And Context  <a href="#id-2.-title-axes-names-legend-and-use-of-option_modifications" id="id-2.-title-axes-names-legend-and-use-of-option_modifications"></a>

It is possible to personalize the title of the chart, adding data points, name for each axis, the legend, size and space occupied. One example could be obtained using:

```python
# https://figshare.com/articles/dataset/Age_height_and_weight_raw_data/16920130
df = pd.read_csv('../data/scatter_test.csv')[
    ['AgeGroup1', 'AgeGroup2', 'AgeGroup3', 'AllGroupAge', 'WeightGroup1',
    'WeightGroup2', 'WeightGroup3', 'AllGroupWeight']
]

s.plt.scatter(
    data=df, order=0, point_fields=[
        ('AgeGroup1', 'WeightGroup1'), ('AgeGroup2', 'WeightGroup2'),
        ('AgeGroup3', 'WeightGroup3'), ('AllGroupAge', 'AllGroupWeight')],
    title='Age Weight correlation study',
    x_axis_name='Age',
    y_axis_name='Weight',
)
```

![Customized scatter chart](/files/WBtEqWDZDYOBvSnpmzlF)

## Variants

By setting the parameter `variant` to the following values the appearance of the chart can be changed:

{% tabs %}
{% tab title="Clean" %}

<figure><img src="/files/6okVVGZvQ87XLLl5YQS7" alt=""><figcaption><p>variant="clean"</p></figcaption></figure>
{% endtab %}

{% tab title="Minimal" %}

<figure><img src="/files/F6ZeHsOkwKV0AFnBRlcc" alt=""><figcaption><p>variant="minimal"</p></figcaption></figure>
{% endtab %}
{% endtabs %}


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