Explore Data

Overview

The explore data app provides a means to quickly and visually assess relationships among fields in a dataset. It does this by cycling through the available fields and plotting them against each other in a scatter chart.

Selecting Data

When you wish to explore a dataset, you must specify the dataset you wish to analyze and the fields you wish to use. Select the desired dataset name in the series dropdown box.

Next, you need to select the fields you wish to plot against each other. You also need to decide whether you wish to plot the fields in a 3-D scatter chart, or a normal 2 dimensional scatter chart. In both cases, the field plotted on the vertical axis is the Z field. To choose the fields to use map on the vertical axis, select a field from the Z drop down box and click add Z. This will append the selected field the the list of Z fields. You can add all the available fields at once by clicking Add All Z. All the fields will appear in the Z field list. You can remove a field by clicking the X next to the field name.

Next you need to select the fields for the X axis. The process is the same as selecting the Z fields. After selecting the X and Z fields, you can plot the results as 2 dimensional plots by clicking the results tab and then clicking the run button. If instead, you wish to plot the results in 3-D scatter plots, you need to select a set of fields for the Y field.

Adding a Regression Line

When you are plotting the data as 2 dimensional scatter charts, you can add a regression line to each plot by clicking the regression check box prior to running.

Setting Style

You can appply a set of css styles to the output prior to running. Select the results tab, and then open the style editor by clicking the style button. Then you can enter style information in the style textarea. When you click run again, those styles will be applied to the output.

Copy and Pasting

If you wish to take the output and place it in a blog or deck, you can click the copy link, which will copy the explore data charts into your clipboard. You can then paste the results into a blog or other component.

Demos and Tutorials