olap pivot

data sources. 2. This solution must ensure flexible and convenient use of data;Third, since data views that are important to users cannot be predicted, this solution must allow users to store customized report designs; fourth, this solution must provide a readable interface containing charts, because the report design containing charts is visually more effective.Please allow me to add article 5: This solution should be Web-based, that is, it should be a server-based Web application that can be

Chapter 4 Section 3Pivot Table component terminology One of the purposes of designing the pivot table component is to make the table column data source and the multi-dimensional data source user interface consistent with the programming model. Although each type of data source has special requirements, we want the two data sources to be identical in appearance and usage. At the same time, we consider that for business people who only need to extract t

(Dimension): It is a certain angle that people observe data, it is a kind of attribute when consider a problem, attribute set constitutes a dimension (Time dimension, Geography dimension, etc.). Dimension level: People observe a particular angle of data (that is, a dimension) can also have different levels of detail of various descriptions (Time dimension: date, month, quarter, year). Member of Dimension: A value of a dimension that is a description of the position of a data item in a dimensi

determine the type of the returned object. Run the determiningselection.htm file on the optical disk to check which types of objects can be returned by the pivot table control from this attribute. If you know what is selected, you can simulate some interesting functions. Here we will discuss the function of getting detailed information through drilling through penetration. The OLAP system is good at displa

, which can sometimes be quite complex. By defining several important attributes of an entity as multiple dimensions (dimension), the user can compare data on different dimensions. Therefore, OLAP can also be said to be a collection of multidimensional data analysis tools. The basic Multidimensional Analysis operations of OLAP are drilling (roll up and drill down), slicing (slice) and cutting (dice), rotati

that it can be any Office program that uses OLAP cubes, Crystal Reports, Excel, and any use of OLAP cubes. Here we use Excel because Excel is a good program for PivotTable reports, which is exactly what we want to use. Now we're in Excel, we come to the Data menu and then select Pivot Table/pivot Chart. Then we select

diagrams to represent dynamic data or to monitor elements that are important to your business. The chart control can be quite useful. Because it provides a rich programming model, you can also use this control to add a number of effects to your diagram. For example, scale and move to the maximum extent of an axis, change the contents of the chart dynamically in the application depending on the mouse position, or have the user double-click a link to go to a new page that displays more informatio

components When you need to use diagrams to represent dynamic data or to monitor elements that are important to your business. The chart control can be quite useful. Because it provides a rich programming model, you can also use this control to add a number of effects to your diagram. For example, scale and move to the maximum extent of an axis, change the contents of the chart dynamically in the application depending on the mouse position, or have the user double-click a link to go to a ne

The following improvements and new features make it easier and quicker for users to use PivotTable and online analytical Processing (OLAP) PivotTables in Microsoft Excel2010. Computing performance In Excel2010, multithreading helps to speed up the calculation in the PivotTable report, thereby improving the overall performance of the PivotTable report. This means that you can get results faster when you work with large amounts of data, such as sortin

IntroducedThere are two classic ways to get a quick sort, and the common denominator is that only the partitioning process is://randomize the pivot subscript, taking care to initialize the "random seed" in the main function firstinline intGetpivotindex (intLeftintRight) {returnRand ()% (right-left +1) + left;}intPartition vectorint> nums,intLeftintRight) {//two notation, Only this function body is not the same}voidQuicksorthelper ( vectorint> nums,int

WinForms Pivot Grid Controlnew Excel? Data export EngineWinForms Pivot Grid Control uses a more powerful Excel data export engine. The new engine has been significantly improved in terms of performance and memory usage.The following pivot grid features fully support all Excel export operations: Data grouping Fix columns Cell format-Export number

WinForms Pivot Grid Controlnew Excel? Data export EngineWinForms Pivot Grid Control uses a more powerful Excel data export engine. The new engine has been significantly improved in terms of performance and memory usage.The following pivot grid features fully support all Excel export operations: Data grouping Fix columns Cell format-Export number

[p....q-1] are not greater than A[Q],A[Q+1....R].Solve:By recursive call Quick Sort, sub-array a[p....q-1] and A[Q+1....R] to sort, when the sub-array is empty, or there is only one element, there is no need to recursively solve (this is the problem size is small enough, directly resolved)Merge:Since the sub-arrays are sorted by the original address, the original array is ordered after the sub-array is ordered, and no additional merging is required.Specific detailsFrom the three steps of the abo

A, segmentation (partition) algorithm IntroductionThe so-called segmentation algorithm, first selects a pivot element, and then divides the elements in the array into two parts: the part that is smaller than the pivot element is located to the left of the pivot element, and the part larger than the pivot element is loc

Pivot Grid Controlnew Excel? Data export EngineThe DevExpress ASP. NET Pivot Grid control now uses a more powerful Excel data export engine, which has been significantly improved both in terms of performance and memory usage.All Excel export operations fully support the following pivot grid features: Data grouping-the ability to collapse/expand groups i

Pivot Grid control now uses a more powerful Excel data export engine, which has been significantly improved both in terms of performance and memory usage.All Excel export operations fully support the following pivot grid features: Data grouping-the ability to collapse/expand groups in a work table Fix columns-columns and row areas stay within sight Cell formatting-Export number format

>WPF Pivot Grid ControlExcel? Inspired conditional formattingIn the new version, we introduced a new easy-to-use approach to managing formatting rules at the design stage and at run time. The new Excel? The inspired conditional format allows your end users to sort and group data in a pivot grid, and visualize data cells with data bars, icons, and pre-defined or custom appearance schemes. Create, sort, and m

>WPF Pivot Grid ControlExcel? Inspired conditional formattingIn the new version, we introduced a new easy-to-use approach to managing formatting rules at the design stage and at run time. The new Excel? The inspired conditional format allows your end users to sort and group data in a pivot grid, and visualize data cells with data bars, icons, and pre-defined or custom appearance schemes. Create, sort, and m

Multidimensional Analysis operations for OLAP include drillthrough (roll up and drill down), slices (slice) and dice (dice), and rotation (pivot), drill across, drill through, and so on. * Drill-through is to change the dimension of the level, transformation analysis of granularity. It consists of an upward drilling (roll up) and a downward drill (drill down). Roll up is a dimension that summarizes low-le

the last record, $pivot as the pivot is assigned the first element of the record to be sorted (not necessarily the first), here: $low = 0; $high = 5; $pivot = 6; The second step, we want to move all the numbers smaller than $pivot to the left of the $pivot, so we can star