# Visual Inspector - additional charts

## Horiz Histogram

The Horiz Histogram is the same as the Histogram, but bins along the Y axis, depicting the aggregation along the X axis. The Horiz Histogram is always binned.

## Box Plot

The Box Plot depicts (typically) a category along the X axis and a numeric column along the Y axis. For each category, the average, quartiles, and outliers are depicted.

## Quantile

Quantile shows the quantile of each value of a single column. The value is specified on the Y axis, and the quantile on the X axis.

## Path

A Path plot is similar to a Line plot, but the line is not drawn left to right. Instead, the line is drawn in the order of the data. The two columns specify the points of the line, and the points are simply traced with a line.

## Map

A Map plot is a Scatter over an underlying geographic map. The X and Y axes should be longitude
(values from `-180`

to `180`

) and latitude (values from `-90`

to `90`

) respectively.

To use the Map plot type, a Google Maps key must be provided. Once a key is obtained, it can be
added to the HTML at:
`INSTALL_DIR/html/ax/app/inspector/index.html`

.

Within this file, there will be a script tag including Google Maps with a `PUT_KEY_HERE`

parameter. Paste your key over the `PUT_KEY_HERE`

value, and uncomment the script tag.
Then, loading the `Map`

plot in the visual inspector will work.

## Plot Matrix

A Plot Matrix renders *every* column of the table. If n columns exist, a n*n chart will be
displayed. The diagonal of the chart is a single Histogram for each column. Every cell not in
the diagonal is a pairing of the two columns along the diagonal that define its coordinate. Note,
it is a good idea to use this chart only on tables with few columns since each additional column
requires more render time, and produces a smaller chart in each cell of the matrix.

## Network

The Visual Inspector supports the visualization of Networks (directed graphs) through a force-directed layout.

There are two ways for data to be formatted so that the Directed Graph visualization can determine the parent-child relationships. First, a parent and child column can simply be supplied. This would look like:

```
Parent | Child
-------|-------
A | B
A | C
C | B
```

Alternatively, each entry in the child column could be a list of all children for the given parent. This allows for more compact tables. For example:

```
Parent | Child
-------|-------
A | B C
C | B
```