Continuum Analytics: Documentation

# Explore your data

Mosaic provides tools for quick data visualization, a list of the transformation performed on the current dataset, and per-column statistical measures. Four tabs below the main command field allow you to switch to other tools.

## Table

This is the default view and shows a table representing the current dataset. You can select the numbers of rows to be displayed by clicking the gear icon on the top right corner of the table:

## Plot

The Plot tab provides 5 different plot types to represent the data: Scatter, Histogram, BoxPlot, TimeSeries and Shader.

- Scatter. This plot uses points to represent data on the plane. It can represent up to four variables by selecting them from the corresponding drop-down menu: X Axis, Y Axis, Color and Size.

- Histogram. This plot shows the frequencies for a set of values. Only one column can be selected for this plot type.

- BoxPlot. Also known as box and whisker plots, this type displays the distribution of the data, grouping it by a second variable. Two columns, one for the Label and other for Values can be selected.

- TimeSeries. This plot is suited to display data over time intervals. On the X axis select the column containing the dates should be introduces, on the Y axis the column with the data to plot. The following example shows the Euro-USD exchange rate.

- Shader. Is a special type of scatter plot that makes it easier to visualize large datasets that otherwise would look too cluttered. In this type of plots the points are smaller and an additional shading algorithm is used to improve the appearance. Two columns can be selected for the X and Y axes. For further customization you can select an aggregation type, an aggregation field and a transparency function that determines the shading algorithm to use for the plot.

## List

The List tab shows a list of transformations performed on the current dataset. Every time you type something on the command entry and click Apply it is recorded in this tab.

## Stats

In this tab you will see a summary of the data with several statistical measures for each numeric column: min, max, mean and sum: