Getting Started: Exploring and Visualizing Data

When you start to build a new dashboard, you might not know what data exists in the knowledge graph, which values in graph you ultimately want to display, and the most pertinent way to visualize the results. This topic introduces the available lenses and filters and provides guidance on getting started by using the Hi-Res Analytics tools to perform data discovery. By experimenting with simple objects, you can explore the data, determine which questions you want to answer, and start to visualize the end result.

To get started:

1. Create a New Dashboard
2. Explore the Data
3. Create Visualizations of the Data

Create a New Dashboard

1. In the Anzo application, expand the Blend menu and click Graphmarts. Anzo displays a list of the existing Graphmarts. For example:

   

2. On the Graphmarts screen, click the name of the Graphmart for which you want to create a dashboard. Anzo displays the graphmart overview. For example:

   

3. Click the Create Dashboard button. The Hi-Res Analytics application opens and displays the Create Dashboard dialog box. Leave Graphmart Dashboard selected and click Next.
4. Next, type a name for the dashboard in the Title field and enter an optional Description.

   

5. Click Finish to create the dashboard. The new dashboard appears as a new tab and contains a sub-tab titled What can I do next?. This tab acts as a wizard to guide you through the initial dashboard creation. For example:

   

6. In the main toolbar, click the Dashboard button and select Save. Proceed to Explore the Data below for guidance on next steps.

Explore the Data

Once you create a new dashboard, you can experiment with Hi-Res Analytics tools to get to know the data and decide the best way to display it.

Decide What Type (Class) of Data You Want to See

1. First, review the types of data or classes that exist in the data. On the What can I do next? tab, click Specify the types of data you would like to see. The Select Data Types dialog box displays the available data types. The value in parentheses shows the total number of instances of that type exist in the data set:

   

2. Select one data type. The property that you choose determines the fields that become available to filter on.

   Though you must choose one base data type for a dashboard, you can leverage the relationships in the graph to access and integrate data from additional classes. See Combining Data from Multiple Classes for more information.

   Click OK to close the Select Data Types dialog box. The data type is added to the Data Types panel on the left side of the screen. For example:

   

   Proceed to Create Filters to See the Values for Properties below for next steps.

Create Filters to See the Values for Properties

To dive deeper into the data and quickly determine what values exist for the class of properties you selected, you can start adding filters to the dashboard. Filters reveal the values associated with fields and help you learn the data set specifics such as whether data exists for certain properties and whether the data includes many duplicate or unique values. Learning more about the details enables you to start making decisions about what properties to group on, for example, what properties have relationships, and what results you want to visualize on the dashboard.

1. To create a filter, click Add facets to filter the data on the What can I do next tab. The Create Filter dialog box opens.

   

2. In the Create Filter dialog box, click the Fields field and select the property or property path to filter on.
3. Then click the Filter field to select the filter type. The list of available choices depends on the data type of the property you selected in Fields. The table below describes each filter type.

Filter Types

Filter	Description
Cloud	Cloud filters display values in term clouds where each term is written in a font size that represents the number of results for that value. Unlike list filters, which enable you to select and filter on multiple values at once, cloud filters allow you to filter on one value at a time. The Cloud filter is available for all data types.
List	List filters display values in a list and allow you to filter on multiple values at the same time. List Filters are available for all data types.
Single Select List	Single Select List Filters are similar to List filters but only allow you to filter one value from the list at a time. This type of filter is available for properties of all data types but is not available for paths.
Limit	Limit Filters are used to limit the results on the Dashboard to a specified number of either the largest or smallest values. The Limit Filter is available for any data type. For strings, results are ordered alphabetically. "Largest" orders by the last letters in the alphabet and "Smallest" orders by the first letters in the alphabet.
Date Range	Date Range Filters are used to limit the results on a Dashboard to data that falls in (or outside of) certain date and time groupings. Date Range Filters are available for properties with Date, DateTime, and Time data types.
Numeric Range	Numeric Range Filters are used to limit the results on a Dashboard to data that falls in (or outside of) certain numeric groupings. Numeric Range Filters are available for properties with Integer and Double data types.
Range Slider	Range Slider Filters display a slider control that enables you to filter Dashboard results by setting one range that you can adjust as needed. This type of filter is available for properties with Integer, Double, Date, Time, and DateTime data types. It is not available for paths.
Relative Time	Relative Time Filters are used to filter for records that fall into a specified increment of time relative to the current time. This type of filter is available for Date, Time, and DateTime data types.
Search	Search Filters are used to search for values of a property that contain a partial match, exact match, or do not equal the text that you specify. The search is case-insensitive. This type of filter is available for all data types. It is not available for use with paths.
Presence	Presence Filters group results based on whether the value exists or does not exist. This type of filter is useful for testing whether there are records that are missing a particular value. Presence Filters are available for paths and properties of all data types.
Quartile	Quartile Filters group and rank the values for a property into four equal ranges. This filter is available for properties with Integer, Double, Date, Time, and DateTime data types. It is not available for paths.
Hierarchy	If hierarchies exist in your knowledge graph, you can create a Hierarchy Filter to explore the parent and child relationships and filter the Dashboard based on the relationships. Unlike the majority of Dashboard filters, where you select a a property to filter on, Hierarchy Filters operate on relationships and are only available as a filter type when you select a path to filter on.
Types	Types Filters are used to filter data according to the types of data (classes) that are connected by a specified path. This type of filter is available only for paths and not properties.

For information about configuring each type of filter, see Creating Dashboard Filters.

Create Visualizations of the Data

Once you have a good understanding of the values and relationships that exist in the data set, you can experiment with the Hi-Res Analytics lenses and decide on the most appropriate way to display the data. Creating a Table lens is a quick way to view the data that you filtered. This section provides instructions for creating a table lens and describes each of the lenses available in Hi-Res Analytics.

1. To create a Table lens, click Select or create visualizations of your data in the What can I do next tab. Anzo displays the Lens Selection dialog box.

   

2. In the dialog box, click Create a new lens. Anzo displays the Create Lens dialog box.

   

3. Select the Table lens and click Next.
4. Type a Title for the lens, and then click Finish. Anzo opens the Table Designer:

   

5. In the Designer, click the Auto-generate columns icon () to add all available columns to the table. Then click Save.

The new lens displays as a new sub-tab on the dashboard and displays the data according to the data type and filter or filters that you created. Now that you can view a summary of the data in a table, it can help you determine how to further narrow or expand the results by adding, changing, or removing filters. In addition, you can experiment by adding other lenses to the dashboard to find the ideal way to display the data to answer the questions that you have. The table below describes each type of lens. For more information about each lens, see Lens Type Reference.

Lens	Description
AnzoKO Web Page	AnzoKO Web Page lenses include the Knockout JavaScript framework and enable you to display data on a web page that you create using HTML, CSS, and JavaScript.
Chart	Anzo offers several types of Chart lenses. These lenses are useful for displaying large amounts of complex data and have the widest format range of any lens type. The ability to add an axis enables you to compare data, such as for comparing monthly sales data for multiple stores.
Drill Down	Drill Down lenses create clickable data points that enable you to drill down to view additional details. You can specify mutliple lenses within the Drill Down lens so that clicking a data point presents the data in a different view.
Form	Form lenses enable you to create an editable or read-only form on the dashboard. Creating forms can be useful for displaying many details about each record instead of using a table where the large number of columns makes the data hard to read. Form lenses are valid in Linked Data Set Dashboards. In Graphmart Dashboards, form lenses do not display instance data.
List	List lenses display results in a list layout, similar to the Microsoft Windows® Explorer interface. The lens enables you to add icons for each data value, and results are grouped onto pages according to the Page Size value that you specify.
Query	Query lenses enable you to retrieve data using a custom SPARQL query and display the results by writing basic HTML and CSS. You can use a Query lens to access data from external sources. Query lenses do not bind directly to the linked data set, data type, or filters defined on the dashboard.
Resource Tree Navigator	Resource Tree Navigator lenses display results in a hierarchical tree view. You can click parent data points to open the successive child data points. This lens is useful for presenting small amounts of data; each discrete group appears on a separate page in the dashboard. You can also click certain objects to view the object's data properties in the left panel.
Table	Table lenses present results in a basic table grid consisting of rows and columns. Table lenses are useful for presenting data aggregates or summaries.
Web Page	Web Page lenses enable you to display results on a web page that you create using HTML, CSS, and JavaScript.

Related Topics

• Creating Dashboards
• Creating Dashboard Filters
• Creating a Lens
• Sharing Access to a Dashboard or Lens