# Density Plot

### Density Plot

You can show the distribution of the data by the curved lines. This chart is a variation of a Histogram, but this can show the smoother distributions by smoothing out the noise.

![](https://2850417076-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-M4HLCK3olgduYoe3RVS%2F-M4oMvCUDQwHTJ0eWi_f%2F-M4oNAqmEr32DCpvMZ2J%2Fdensity1.png?generation=1586795472709255\&alt=media)

### Column Assignments

* X-Axis - Assign a column you want to show the distribution. The column data should be numeric.
* Color By - Assign a column for color. Take a look at [Color](https://docs.exploratory.io/visualization/features/color) section for more details.
* Repeat By - You can assign a column to repeat the chart for each of its values. Take a look at [Repeat By](https://docs.exploratory.io/visualization/features/small-multiple) section for more details.
* Include Outlier - You can uncheck to exclude the outlier values.

### Highlight

You can change the color of the specific markers such as bars, lines or circles that you pick to stand out from others. See [Highlight](https://docs.exploratory.io/visualization/features/highlight-1) for the detail.

### Category

You can categorize numeric values inside the chart. See [Category(Binning)](https://docs.exploratory.io/visualization/features/category) for the detail.

### Limit Values

You can use Limit Values to filter the categories by the aggregated values. See [Limit Values](https://docs.exploratory.io/visualization/features/limit) for the detail.

### 'Others' Group

If you have many categories, you can reduce the number of categories by changing some category names to 'Others' using the 'Others' Group feature. See ['Others' Group](https://docs.exploratory.io/visualization/features/others-group) for the detail.

### Missing Value Handling

You can use the Missing Value Handling feature to control missing values. See [Missing Value Handling](https://docs.exploratory.io/visualization/features/missing-value-handling) for the detail.

### Layout Configuration

* Bandwidth Adjustment - Decides the smoothness of lines. You can assign a numeric value. If you assign a larger number, the curve will be simpler.
* Number of Equally Spaced Points - How many data points used to draw the line. If you assign a larger number, the curve will be smoother.
* Bandwidth - Smoothing bandwidth option.
* Kernel - Smoothing kernel option.

Take a look at [Layout Configuration](https://docs.exploratory.io/visualization/features/layout) on how to configure the layout and format.

### Save as an Image

You can save the chart as an image file. See [Save as PNG/SVG](https://docs.exploratory.io/visualization/features/save) for more details.