Statistical
Operators in the Statistical category
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Operators
| Operator | Description |
|---|
| Box/Violin Plot | Visualize data using either a Box Plot or a Violin Plot. Box plots are drawn as a box with a vertical line down the middle which is mean value, and has horizontal lines attached to each side (known as “whiskers”). Violin plots provide more detail by showing a smoothed density curve on each side, and also include a box plot inside for comparison. |
| Continuous Error Bands | Visualize error or uncertainty along a continuous line |
| Empirical Cumulative Distribution Plot | Visualize the empirical cumulative distribution of a numeric column. |
| Histogram | Visualize data in a Histogram Chart |
| Histogram2D | Displays a bivariate histogram as a density heatmap |
| Scatter Matrix Chart | Visualize datasets in a Scatter Matrix |
| Strip Chart | Visualize distribution of data points as a strip plot |
| Tree Plot | Visualize hierarchical data as a top-down, interactive, auto-sizing tree |
Total: 8 operators
1 - Box/Violin Plot
Visualize data using either a Box Plot or a Violin Plot. Box plots are drawn as a box with a vertical line down the middle which is mean value, and has horizontal lines attached to each side (known as “whiskers”). Violin plots provide more detail by showing a smoothed density curve on each side, and also include a box plot inside for comparison.
Home > Visualization > Statistical
| Property | Requirement | Type | Default | Description |
|---|
| Value Column | ✓ | String (integer, long, double) | - | Data column for box plot |
| Quartile Method | ✓ | linear, inclusive, exclusive | linear | |
| Horizontal Orientation | | Boolean | false | Orientation style |
| Violin Plot | | Boolean | false | Check this box to overlay a violin plot on the
box plot; otherwise, show only the box plot |
Output Ports
2 - Continuous Error Bands
Visualize error or uncertainty along a continuous line
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| Property | Requirement | Type | Default | Description |
|---|
| X Label | | String | X Axis | Label used for x axis |
| Y Label | | String | Y Axis | Label used for y axis |
| Bands | ✓ | List | - | |
| ↳ Y-Axis Upper Bound | ✓ | String | - | Represents upper bound error of y-values |
| ↳ Y-Axis Lower Bound | ✓ | String | - | Represents lower bound error of y-values |
| ↳ Fill Color | | String | - | Must be a valid CSS color or hex color string |
| ↳ Y Value | ✓ | String | - | Value for y axis |
| ↳ X Value | ✓ | String | - | Value for x axis |
| ↳ Line Mode | ✓ | line, dots, line with dots | line with dots | |
| ↳ Line Name | | String | - | |
| ↳ Line Color | | String | - | Must be a valid CSS color or hex color string |
Output Ports
3 - Empirical Cumulative Distribution Plot
Visualize the empirical cumulative distribution of a numeric column.
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| Property | Requirement | Type | Default | Description |
|---|
| Value Column | ✓ | String (integer, long, double) | - | Numeric column used to compute the empirical
cumulative distribution |
| Color Column | | String | - | Optional column for coloring ECDF lines by group |
| Separate By Column | | String | - | Optional column for splitting ECDF plots into
subplots |
| Y Axis Mode | | String | probability | Display cumulative probability, raw count, or
cumulative sum |
| CDF Mode | | String | standard | ‘standard’ shows P(X ≤ x), ‘reversed’ shows P(X ≥
x), ‘complementary’ shows 1 - P(X ≤ x) |
| Orientation | | String | vertical | Plot ECDF vertically or horizontally |
| Show Markers | | Boolean | false | Display sample markers on the ECDF line |
| Marginal Plot | | String | none | Optional marginal plot to display alongside the
ECDF |
Output Ports
4 - Histogram
Visualize data in a Histogram Chart
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| Property | Requirement | Type | Default | Description |
|---|
| Color Column | | String | - | Column for differentiating data by its value |
| SeparateBy Column | | String | - | Column for separating histogram chart by its value |
| Distribution Type | | String | - | Distribution type (rug, box, violin) |
| Pattern | | String | - | Add texture to the chart based on an attribute |
| Value Column | ✓ | String | - | Column for counting values |
Output Ports
5 - Histogram2D
Displays a bivariate histogram as a density heatmap
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| Property | Requirement | Type | Default | Description |
|---|
| X Column | ✓ | String | - | Numeric column for the X axis bins |
| Y Column | ✓ | String | - | Numeric column for the Y axis bins |
| X Bins | ✓ | Integer | 10 | Number of bins along the X axis (Default: 10) |
| Y Bins | ✓ | Integer | 10 | Number of bins along the Y axis (Default: 10) |
| Normalization | | density, probability, percent | density | Type of histogram normalization |
Output Ports
6 - Scatter Matrix Chart
Visualize datasets in a Scatter Matrix
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| Property | Requirement | Type | Default | Description |
|---|
| Selected Attributes | ✓ | List | - | The axes of each scatter plot in the matrix |
| Color Column | ✓ | String | - | Column to color points |
Output Ports
7 - Strip Chart
Visualize distribution of data points as a strip plot
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| Property | Requirement | Type | Default | Description |
|---|
| X-Axis Column | ✓ | String | - | Column containing numeric values for the x-axis |
| Y-Axis Column | ✓ | String | - | Column containing categorical values for the
y-axis |
| Color By | | String | - | Optional - Color points by category |
| Facet Column | | String | - | Optional - Create separate subplots for each
category |
Output Ports
8 - Tree Plot
Visualize hierarchical data as a top-down, interactive, auto-sizing tree
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| Property | Requirement | Type | Default | Description |
|---|
| Edge List Column | ✓ | String | - | Column with [parent, child] pairs |
Output Ports