It is not only a fully functional graph visualization library, but also an explorer of data relationships.
!!!###!!!title=list table data analysis——VisActor/VTable tutorial documents!!!###!!!!!!###!!!description=Currently supported capabilities include sorting, filtering, and data aggregation calculations.!!!###!!!
Basic table data analysis
Currently supported capabilities include sorting, filtering, and data aggregation calculations.
The basic table component sets data filtering rules through the interface updateFilterRules, supporting value filtering and function filtering. Here is a usage example of filtering data:
In the above example, we set up value filtering through filterKey and filteredValues to only display data with a gender of "boy"; at the same time, we used function filtering to customize the filtering logic through filterFunc and only displayed age The field is the data whose age is greater than 30.
To clear the data filtering rules, pass the function arguments blanktableInstance.updateFilterRules().
Data aggregation
The basic table supports aggregation calculation of data, and different aggregation methods can be set for each column, including sum, average, maximum value, minimum value, and custom function summary logic. Multiple aggregation methods can be set for the same column, and the aggregation results will be displayed in multiple rows.
Aggregation calculation type
To sum, set aggregationType to AggregationType.SUM
Average, set aggregationType to AggregationType.AVG
Maximum value, set aggregationType to AggregationType.MAX
Minimum value, set aggregationType to AggregationType.MIN
Count, set aggregationType to AggregationType.COUNT
Custom function, set aggregationType to AggregationType.CUSTOM, and set custom aggregation logic through aggregationFun
Aggregate value formatting function
Use formatFun to set the formatting function of the aggregate value, and you can customize the display format of the aggregate value.
Aggregated result placement
Use showOnTop to control the display position of the aggregation results. The default is false, that is, the aggregation results are displayed at the bottom of the body. If set to true, the aggregation results are displayed at the top of the body.
Note: Currently, the aggregate value does not have the ability to customize freezing. It needs to be combined with bottomFrozonRowCount to achieve fixed display. In addition, the embarrassing thing is that topFrozonRowCount has not been added yet, so it is recommended to display the aggregation result at the bottom of the body first. Comprehensive freezing capabilities will be supported in the future.
Aggregation configuration
Aggregation configuration can be set in the columns column definition or configured in the table global option.
Configure aggregation method in column definition
In the column definition, the aggregation method can be configured through the aggregation attribute. Here is an example of an aggregation configuration:
In the above example, we set three aggregation methods for the salary column: maximum value, minimum value and average value. Use aggregationType to specify the aggregation method, and then use formatFun to customize the display format of the aggregation results, and use showOnTop to control whether the aggregation results are displayed at the top or bottom of the body.
Table global configuration aggregation method
In addition to configuring the aggregation method in the column definition, you can also set it in the table global configuration. Here is an example of global configuration:
In the above example, we set the aggregation method through the aggregation function of global configuration, and return different aggregation configurations according to different conditions. For example, when args.col === 1, we set the aggregation method of the maximum and minimum values; when args.field === 'salary', we set the aggregation of the minimum and average values Way.
The above is the tutorial document for basic table data analysis capabilities, covering the configuration and usage of data filtering and data aggregation. Hope this document can be helpful to you! If you have any questions, please feel free to ask.