ExpressPivotGrid Suite 포괄적인 데이터 분석, 데이터 마이닝, 윈도우 애플 리케이션을위한 시각적 보고 솔루션입니다. 스크린 폼와 인쇄되는 보고서 사이에 고유한 연결 고리를 만들어 주는 기술을 기반으로 하고 있습니다. 로우 데이터를 쉽게 분석할 수 있게 해주고, 이해하기 쉬운 윈도우 명령어로 즉시 원하는 결과를 프린터에 출력 할 수 있게 해줍니다. ExpressPivotGrid를 어플리케이션에 심어줌으로써, 제한없는 보고서를 화면이나 프린터에 어려움 없이 출력하실 수 있게 됩니다.
The ExpressPivotGrid Suite allows your end users to slice and dice data in a manner similar to that found in MS Excel®. It has the power to convert hard to read and difficult to dissect dataset information into compact and summarized visual reports - making your applications far more usable and more effective at addressing your customer's real-time business analysis needs. And just as important, with the ExpressPivotGrid, users can easily change a report's layout visually in order to examine data from different/multiple perspectives. The benefits of this are two-fold - first, you never again have to foresee all possible report scenarios your end-users might require (saving you time and increasing your productivity) and second, your users will not have to deal with hard to use and overly complex reporting tools to answer their business questions.
By default, the row and column axes contain each unique value in the source column. With the ExpressPivotGrid, you can quickly simplify a report by merging values. For instance, you might have a report containing survey data in which the respondent's age represents an important characteristic. End-users may not want to browse through each and every unique age and instead want to see the ages of respondents in intervals such as 21-30, 31-40, etc. Instead of viewing sales by each unique date, they may want to view the sales for just the first few months. The axis can be customized in almost any fashion and the most common customizations need only a single property to be modified for its implementation!
Print and Render the ExpressPivotGrid with Ease
The ExpressPivotGrid is NOT just about on-screen data analysis. With it, you can export data to numerous formats and render its contents to paper just like a traditional WYSIWYG report.
- Printing support is available via the ExpressPrinting System (must be purchased separately). This allows you to create cross-tab reports easier than ever before.
- Export to the XLS, XML, HTML and TXT formats.
- Multi-cell selection and data export via the clipboard.
Businesses have unique requirements and no two entities will analyze information in the same exact way. Your end-users may want to analyze sales for each product or each product category. They may want to view yearly data or see more detailed data by viewing the data for each month in a year. Using traditional reporting/database tools, you would often be forced to create a myriad of different reports to deliver the appropriate solution to your customers - but that's no longer the case with the ExpressPivotGrid. Since the visual control offers your end-users total runtime customization flexibility, not a single report layout needs to be modified to view data at different detail levels. You simply place fields at lower detail levels on the column or row area. Field values are automatically arranged into a tree structure with expandable parents. End-users are free to expand and collapse child groups to see more summarized or raw reports.
To improve the development experience, the ExpressPivotGrid ensures your ability to deliver superior capabilities with minimal coding. Among the many features available in the component library is its ability to display grand totals for each row and column automatically. On the rare occasion that the built-in summary computation engine does not address a specific business requirement, you can display any number of totals for any value group.
The ExpressPivotGrid automatically sorts row and column values so you can easily locate required data. Comprehensive data analysis, however, often requires a two-way approach to data navigation in that you may need to find data by a specific value or find a value by its data. To allow for the latter approach, the ExpressPivotGrid introduces a unique feature - sorting values by their corresponding grand totals. This means the product you'll see first is not the one which starts with an A or Z, but rather the one that has the most or least sales. This of course is just the beginning to more effective and efficient data analysis. You can also specify the number of top rows that are displayed. So you can view a specific number of best-selling or worst-selling products for each year, month, customer, etc. You can concentrate on only the most important information and avoid being overload with a lot of surplus data.
Filter Data - Filter Out the Values Used to Calculate Summaries on the Fly
As you've probably gathered, the ExpressPivotGrid is unrivaled in its feature set and capabilities for the VCL. Our goal was to radically simplify runtime data analysis and provide end-users with superior customization options. You will find that with its built-in visual filtering option, your end-users can manipulate reports on the fly using an easy to understand and familiar visual metaphor.
- Hide unnecessary values in the axes.
Yet another mechanism that allows end-users to focus only on the most important data.
- Filter the data against which calculations are based.
To allow your end-users manage this capability visually, the ExpressPivotGrid has a Filter Panel Region. This pane was specifically designed to contain fields that aren't currently used in the report, and when required, can be dropped onto the report to automatically alter the base data used in the calculations.
The ExpressPivotGrid is designed to transform table data into a summarized report. At the same time, it allows you to do the reverse. With just a single line of code, you can take a look at the records that were used to calculate cell values. With a few more lines of code, you can display this data within our advanced ExpressQuantumGrid control. This feature brings complete data browsing flexibility within a single report - from different detail levels in a summarized report to the original raw data used to create the report itself. End-users are free to analyze every aspect and level of their data!