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Pivot Table

Overview

Pivot Table is an interactive table that quickly summarizes large amounts of data and extracts the required information. It can help you easily analyze and compare data to better understand it and make more informed decisions. It can perform aggregation operations on data within fields based on specific row and column grouping fields.

Settings

Setting ItemDescription
Data SourceSelect the data source for the card.
FilterSet the filtering conditions for data included in this card.
Data VolumeSet the quantity of data included in this card.
Sort FieldSet the sorting method for displayed data.
Row GroupingSet the row grouping fields displayed in the pivot table.
Column GroupingSet the column grouping fields displayed in the pivot table.
Calculation MethodSet the calculation method for data aggregation in the pivot table.
Options: Count, Sum, Max, Min, Average
PrecisionSet the precision for displaying aggregated data.
Dark ModeEnable dark mode, the card can be used with a dark background.
Display FormatSet the data display format of the pivot table.
Options: Table, Line Chart, Bar Chart
Enable Data InteractionWhen users click on data, automation is triggered

Display Formats: Line Chart and Bar Chart

Setting ItemDescription
ColorThe color range items used when rendering the chart
Label IntervalSet the interval for axis divisions when rendering the chart
Label AngleSet the rotation angle of scale labels when rendering the chart
Enable Data ZoomWhether to enable image data zoom function. After enabling, freely focus on detailed data information, or overview the overall data, or remove the influence of outliers
Data Zoom TypeData zoom method: Slider Data Zoom and Pan Row Data Zoom
Show LegendWhether to display data legend
Legend DirectionThe direction of legend display: Horizontal and Vertical
Horizontal PositionThe horizontal position direction of legend display: Left, Center, Right
Vertical PositionThe vertical position direction of legend display: Top, Center, Bottom

Usage Scenarios

  • Financial Analysis: Quickly summarize and compare revenue and expenditure data for different departments or products
  • Sales Analysis: View sales performance across different products, regions, or time periods
  • Market Research: Rapidly analyze survey data and identify key trends and patterns
  • Inventory Management: Track inventory levels and identify products that need replenishment
  • Human Resource Management: Analyze employee data such as salaries, performance, and turnover rates
  • Project Management: Can be used to quickly summarize and analyze project data, helping to identify risks, track project progress, and measure project performance