Data

At the heart of every data table is the data itself, organized into rows and columns. Each row represents a record, and each column represents a field within the record. The data is presented in a clear, grid-like format, making it easy to read and interpret.

Data segmentation

Dimensions

Dimensions represent qualitative attributes of data, such as campaign names or portfolios. They are the various aspects or categories by which quantitative data (metrics) can be segmented or categorized.

Available dimensions

Metrics

Metrics are quantitative measures and provide numerical data, like sales figures or click-through rates. They are the values that are analyzed within the framework provided by dimensions, offering tangible, measurable insight into performance or behavior.

Available metrics

Data visualization

Totals

This section displays the aggregate values across the entire dataset. It provides an overall summary, giving a comprehensive view of the data as a whole.

Filtered totals

Activated when filters are applied, this section shows the aggregate values of only those records that meet the filtering criteria. It's essential for understanding the specific segments of the data.

Individual entities

This refers to the data points or records as singular entities. Each record is considered individually, providing detailed insights into specific aspects of the dataset.