Big Data Visual Inspector

Ivy's Visual Inspector allows you to visualize datasets using a wide variety of standard charts or by creating your own custom client-side or server-side visualizations. It has been specifically optimized for large datasets. By leveraging Ivy’s server-side rendering technology, analysts are able to query and visualize tens of millions of records in a few seconds. This means that analysts can now search for and find patterns in large datasets in seconds or minutes, rather than days or weeks. The following visuals are provided:

  • Table
  • Scatter
  • Line
  • Bar
  • Map
  • Histogram
  • Box Plot
  • Box Percentile Plot
  • Directed Graph

In the example below, a 35 million record cell phone dataset is displayed in a binned scatter diagram. The visual renders in under 6 seconds and clearly reveals an interesting pattern in the data. By modifying the attributes in the right panel, the user can tumble the data to reveal these sorts of patterns in real time.

Scatter Example

In the example below, the same cell phone dataset is plotted as a heat map. The bin opacity indicates the number of records in each of the bins and the bin color represents the sum of the durations of the calls in each bin. This visualization took less than 6 seconds to render.

Heatmap Example

In the example below, the same cell phone dataset is rendered on a map using the latitude and longitude information in the record set. Here the analyst has zoomed into a subset of the records and has brushed a specific point to find out more information about the dataset. Brushing is available on several of the graph types.

Map Example

In the example below, the same cell phone dataset is plotted as a directed graph. The query has been changed on-the-fly to display all the distinct sources by destinations where the destinations are less than 20. This visualization took less than 3 seconds to render.

Directed Graph Example