viewers.md

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Supported viewers

A viewer is a visual component associated with a table. They are extremely fast and interactive, handling datasets with tens of millions of rows (or millions of columns).

To learn how to use viewers, including creation, managing properties, filtering, row selection, tooltips, and more, see Table View.

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Grid A high-performance, customizable spreadsheet optimized for interactive exploration of data. Provides color-coding, filtering, sorting, custom cell types, and hundreds of other features.
Scatterplot Displays data points on the X and Y axes to show the relationship between two variables. Show up to three additional data dimensions by using marker color, shape, and size. Supports regression lines, and data annotations.
Histogram Shows the distribution of the numerical data. Supports multiple distribution, with a few normalization options. Use the slider below to filter the dataset.
Line chart Shows points connected by lines. Points are ordered by the X component, with multiple values for the same X aggregated. Supports multiple charts, multiple axes, different normalization and aggregation options. Chart types: lines, area, stacked bar chart, stacked area chart.
Bar chart Shows grouped data with rectangular bars with lengths proportional to the values that they represent. Supports multiple data type-dependent aggregation functions for values. Works with dates as a category, converting them to year, Q1-Q4, or month. To create a stacked bar chart, use the Stack selector.
Box plot Summarizes distributions of values by showing minimum, first quartile, median, third quartile, and maximum. Shows each point and lets you color-code them. When comparing multiple sets, automatically tests for statistical significance and calculates p-values.
Pie chart Shows proportions by dividing data into slices.
Parallel coordinates plot Shows each row as a trajectory, where each column value gets mapped to the corresponding axis. Useful for analyzing multidimensional data.
3D scatterplot Shows the relationship between three variables in 3d space. You can color-code points, size-code points, and display labels next to markers.
Calendar Lets you analyze longitudinal data. Requires at least one column of type DateTime.
Trellis plot Lets you analyze multiple dimensions of your data simultaneously. For categorical columns, unique values along the X and Y axes create subsets of data. Each intersecting cell visualizes rows belonging to the corresponding subset. Supports multiple columns per axis and multiple chart options.
Tree map Displays hierarchical data as a set of nested rectangles. A leaf node's rectangle has an area proportional to a specified dimension of the data.
Form Lets you customize the appearance of the row by manually positioning the fields, and adding other visual elements, such as pictures or panels. A form can be used either as a standalone viewer, or as a row template of the Tile Viewer.
Tile viewer Visualizes rows as forms positioned as tiles. Useful for reviewing the contents of each row.
Word cloud A visual depiction of word frequency. You can use other aggregation functions to represent the size or color of the specific word.
Density plot Shows density of points for the chosen X and Y columns, unlike scatter plot that shows all of them.
Matrix plot Shows the relationships between the selected columns using density plots and histograms.
Network diagram Visualizes graphs, with values of the specified two columns as nodes, and rows as edges. To the right, you see relationships between the Game of Thrones characters. Can you guess what the two clusters are?
Heatmap A condensed representation of the grid, where it shows all dataset at once with the color-coded cells
Filters Let you quickly filter and select rows based on the column values. Filters automatically adjust to the data type and semantics. Built-in filters: numerical, categorical, molecular, sequences, calendar, free text, lists, etc.
Correlation plot Lets you see correlations between all columns at once. Cells are color-coded by the Pearsson correlation coefficient. Histograms along the diagonal show the corresponding distribution. Hover over the cell to see the corresponding scatter plot. The grid is sortable.
Markup Viewer Use to host any text, arbitrary HTML content, or markdown-formatted text. In most cases, the viewer will auto-detect content type. Use the "Content Type" property to explicitly specify it.