Nevron Vision for SharePoint Documentation

Point Chart

Chart > Chart Panels > Charting Types > Point Chart |

Point Charts display 1, 2 or 3-dimensional data as points in a Cartesian coordinate system. They are often used for XY and XYZ scatter plots especially when a large number of data points need to be displayed. Following is a description of the point chart settings:

Settings

**Sub Type** - the following table summarizes the different subtypes of the point chart:

Subtype | X Dimension Type | Z Dimension Type | Data Requirements | Description |
---|---|---|---|---|

Series | Categorical | Categorical | Y | Shows series behind each other |

XY Scatter | Numeric | Categorical | Y X |
Besides the Y value, each data point has a X coordinate at which it is positioned. |

XYZ Scatter | Numeric | Numeric | Y X Z |
Besides the Y value, each data point has a X and Z coordinate at which it is positioned. |

**Shape** - defines the shape of the points. Possible values are: *Bar*, *Cylinder*, *Cone*, *Inverted Cone*, Pyramid, *Inverted Pyramid*, *Sphere*, *Ellipse*, *Cross*, *Diagonal Cross*, *Line Cross*, *Line Diagonal Cross* and *Star.*

**Size -** controls the size of the point shape.

**Cluster Mode** - controls whether the point chart uses clustering. Clustering works by identifying densely populated regions of data, which are later visualized by a single point. This reduces the number of visual points on the screen and therefore improves performance. When you use clustering the point series will not regard settings for markers, data points, individual fill styles and shadow. Possible values are:

Auto- The area series uses sampling only when the number of data points is large.

Enabled- The area series always uses sampling.

Disabled- The area series does not use sampling. This is the default.

**Cluster Distance Factor** - controls the maximum distance between two data points if they are to be merged in a cluster. Higher values for this property will diminish the number of visual points, but will decrease the precision of the cluster and vice versa.

Automatic Data Labels Positioning

The automatic positioning of data labels is the data point center.

Automatic Legend Mode

The automatic legend mode in all subtypes evaluates to series (e.g. the series is displayed in the legend).