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# Line With Confidence Area
The line with confidence area presents a data trend alongside a shaded region that represents the variability or uncertainty of the data. This shaded region, often termed the 'confidence interval' or 'confidence band', gives an idea of the reliability of predictions or the possible range within which the actual values may lie. It is instrumental in scenarios where it's vital to understand the degree of certainty or risk associated with the data points.
## The Method To Use
The method is `s.plt.line_with_confidence_area()`.
It must contain the following input variables:
```python
data: Union[str, DataFrame, List[Dict]]
order: int
x: str
y: str
lower: str
upper: str
```
Accepts the following input variables as optional:
```python
rows_size: Optional[int] = None
cols_size: Optional[int] = None,
padding: Optional[str] = None
title: Optional[str] = None,
x_axis_name: Optional[str] = None
y_axis_name: Optional[str] = None,
percentages: bool = False
option_modifications: Optional[Dict] = None
variant: Optional[str] = None
```
## Examples
The following code:
```python
confidence_data = requests.get(url='https://echarts.apache.org/examples/data/'
'asset/data/confidence-band.json').json()
for dat in confidence_data:
dat['value'] = dat['value'] * 100
dat['l'] = dat['l'] * 100
dat['u'] = dat['u'] * 100
s.plt.line_with_confidence_area(
data=confidence_data, order=0,
title='Confidence Band Chart',
x='date', y='value',
lower='l', upper='u',
x_axis_name='Date',
y_axis_name='Value',
percentages=True,
)
```
## Variants
By setting the parameter `variant` to the following values the appearance of the chart can be changed:
{% tabs %}
{% tab title="Clean" %}
variant="clean"
{% endtab %}
{% tab title="Minimal" %}
variant="minimal"
{% endtab %}
{% endtabs %}
---
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