The 1-D Bar Graph should be used to analyze a set of objects each against one metric (image 1). Objects can be sorted based on that metric by right-clicking the graph and selecting ‘Sort,’ or by choosing the desired metric from the list located at the top center of the screen and clicking ‘S’ on the keyboard. This graph type is also optimal to analyze the difference in two objects’ relationships with a set of objects after opening the Visualizer from Comparative Analytics.

Timelines are ideal to view how objects are changing based on the selected metric over the past 16 months (image 2). Up to 10 objects’ timelines can be displayed in the graph at a time. To view two graphs of timelines, choose two separate metrics at the top right of the Visualizer screen. To place a set of timelines in descending order based on data from the latest month, select the desired metric from the list in the top center of the window and click ‘S’ on the keyboard.

In order to compare a set of objects’ against two metrics at a time, select 2-D Scatter Plot (image 3). Use either of the two Filter Presets by right-clicking anywhere on the graph and selecting the desired option. Or, choose custom metrics using the drop-down menus located at the top right of the window. Objects can be color-coded to provide further depth to and gather additional insights from the graph using the drop-down menu next to C, also found at the top-right of the screen.

The Data Grid view allows the user to measure each object against a variety of metrics in cell-form (image 4). Adjustments can be made to metrics by right-clicking on the graph, and the graph can be copied and pasted into an Excel spreadsheet by choosing ‘Data to Clipboard’ and pasting into an Excel file.

Objects can be grouped together based on a variety of factors by choosing the Clustering view (image 5).

Once chosen, the user can select to cluster objects by:

Social Relatedness: Takes into account the explicit and implicit meaning of an object and the different ways in which users talk about it on social media

Demographics: Takes into account which demographics are most commonly talking about an object

Psychographics: Takes into account the general interests of those talking about an object

Geography & Language: Takes into account the location and language of the person mentioning the object

Monthly Activity: Takes into account an object’s monthly post volume

Penetration: Takes into account an object’s average percentage of the focus subject’s conversations

Correlation: Takes into account the explicit meaning of an object and how it is talked about on social media

Based on which factor is selected, objects are grouped together based on similarity within the chosen factor. For example, correlation is selected in the image below, and objects ‘oiliness’ and ‘oily skin’ are clustered together, meaning they are used almost interchangeably in conversations on Instagram. ‘Frown lines’ is the farthest object away from ‘oiliness,’ meaning these two objects do not have interchangeable explicit meanings based on how they are referenced on Instagram.

The Multi-Trends view looks at each object’s change in a variety of metrics over the past 1, 3, 6, and 12 months (image 6). Objects can be sorted alphabetically, by metric, or by the largest change over any of these time intervals by clicking on the desired option from the bar highlighted in blue in the image below.