Dimensional Analysis¶

Perform multi-dimensional aggregation queries and statistical analysis on data to intuitively display the distribution characteristics and trends of data across different dimensions and time.

In the data chart analysis mode, the supported chart types include:

• Top List: Suitable for viewing the ranking distribution of data;
• Time Series Graph: Suitable for observing the trend of data changes over time;
• Pie Chart: Suitable for displaying the proportional relationship of data;
• Treemap: Suitable for displaying the hierarchical structure and proportion of data;
• Grouped Table Chart: Suitable for displaying detailed information of multi-dimensional data.

Data Display¶

• Data Point: A data point refers to the coordinate point where the data value is located. In time series graphs, line charts and area charts will automatically aggregate according to the selected time range into data points, with no more than 360 data points; bar charts have no more than 60 data points.

• Data Range: The data range refers to the value range of each data point. Based on the coordinate point of the current data point, it moves backward to the coordinate point of the previous data point as the interval range, taking the data values within that range.

Manage Charts¶

You can manage the chart analysis mode through the following operations:

• Below the chart, filtering queries based on fields are supported;
• In time series graph mode:
  • You can choose between area charts, line charts, or bar charts;
  • Click the icon to select the legend display position (hidden, bottom, or right);
  • Click the icon to customize the color of the legend.

• For displayed cluster data:

  • In time series graph mode, you can set slimit to 5, 10, 20, 50, 100, or 200;
  • In Top List, pie chart, or treemap modes, you can set limit to maximum or minimum values of 5, 10, 20, 50, 100, or 200.

• Click the icon to export the chart as a CSV file, export it to notes or dashboards, or copy the chart.