CN114817412A

CN114817412A - Multidimensional data visualization management method and device and storage medium

Info

Publication number: CN114817412A
Application number: CN202110062677.8A
Authority: CN
Inventors: 郑文锴; 苏晏烨; 麦伟强
Original assignee: Tencent Technology Shenzhen Co Ltd
Current assignee: Tencent Technology Shenzhen Co Ltd
Priority date: 2021-01-18
Filing date: 2021-01-18
Publication date: 2022-07-29

Abstract

The invention provides a data multidimensional processing and visual presentation method, a data multidimensional processing and visual presentation device and a storage medium. The method comprises the following steps: providing a visual management interface for the multi-dimensional data for presenting at least two statistical representations of a plurality of drill dimensions of the multi-dimensional data; receiving a drilling selection operation for at least one of the blocks; drilling the multidimensional data according to the selected drilling level corresponding to the selected block based on the following steps: responding to the fact that at least one block is in a selected state before drilling selection operation, and performing scroll processing on the multi-dimensional data; responding to at least one block in an unselected state before drilling selection operation, and performing drilling-down processing on the multi-dimensional data; and updating the multidimensional data; at least two statistical representations of the multi-dimensional data are adjusted based on the updated multi-dimensional data, respectively. The invention enables the user to freely select the drilling dimension to carry out deep-level screening, can obtain the feedback of the result of the full drilling dimension in real time, and is beneficial to improving the productivity of the user side.

Description

Multidimensional data visualization management method and device and storage medium

Technical Field

The invention relates to the technical field of computers, in particular to a multidimensional data visualization management method, a multidimensional data visualization management device and a storage medium.

Background

In data analysis, data is generally observed by drill down analysis and portrait analysis. Drill-down analysis looks at the attenuation of data on some target path by drilling the data. Portrait analysis exposes data distribution through various drill dimensions. The user has the characteristics of large quantity of data and multiple drilling dimensions, and needs to perform multilevel real-time drilling display on the drilling dimensions on the basis of counting the data according to the drilling dimensions and displaying the drilling dimensions. In the traditional data analysis processing flow, the drilling dimensionality of data drilling is fixed, the number of levels is small, and the drilling effective time is long. In the related art, when a user performs deep drilling, the user needs to make a selection on a designated selectable drilling dimension, and the drillable hierarchy is limited. After a single drill, only the data of the next drill dimension can be viewed, and the global data can not be viewed any more. The related technical scheme does not support the user to freely select the drilling dimension and the drilling level, and the user cannot check the global data after drilling.

Disclosure of Invention

In view of the above, the present invention provides a method, an apparatus and a storage medium for multidimensional processing and visual presentation of data, so as to alleviate, reduce or even eliminate the above-mentioned problems.

According to an aspect of the present invention, there is provided a multidimensional data visualization management method, including: providing a visual management interface for the multi-dimensional data for presenting at least two statistical representations of a plurality of drill dimensions of the multi-dimensional data; wherein each drilling dimension comprises at least two drilling levels and the statistical representation of the drilling dimension comprises at least two blocks corresponding to the at least two drilling levels respectively; receiving a drilling selection operation for at least one of the blocks; drilling the multidimensional data according to the selected drilling level corresponding to the selected block based on the following steps: responding to the at least one block being in the selected state before the drilling selection operation, and performing scrolling processing on the multi-dimensional data based on the selected drilling level; responding to at least one block in an unselected state before the drilling selection operation, and performing drilling-down processing on the multi-dimensional data based on the selected drilling level; updating the multidimensional data, and taking the multidimensional data subjected to drilling processing as updated multidimensional data; at least two statistical representations of the multi-dimensional data are adjusted based on the updated multi-dimensional data, respectively.

In some embodiments, responsive to the at least one block being in a selected state prior to the drill-out selection operation, the scrolling the multi-dimensional data based on the selected drill-out level comprises: in response to the at least one block being in a selected state prior to the drill-out selection operation, performing a rollup process on the multi-dimensional data based on the selected drill-out level; determining whether other selected drill levels exist for the drill dimension; responding to the existence of other selected drilling levels of the drilling dimension, and performing drilling-down processing on the multi-dimensional data based on the other selected drilling levels of the drilling dimension; and responsive to the drill dimension not having other selected drill levels, cancelling the drill-down process on the multi-dimensional data based on the drill dimension.

In some embodiments, the method further includes presenting the drill level of the selected one of the plurality of drill dimensions and other drill levels of other ones of the plurality of drill dimensions that have been previously selected in blocks in a particular region of the page.

In some embodiments, receiving a selection of at least one of the blocks comprises: a drill-out selection operation is received for a block in a particular region or a block in a statistically represented region of multi-dimensional data associated with a drill-out level for a drill-out dimension of a plurality of drill-out dimensions.

In some embodiments, receiving a selection of at least one of the blocks comprises: a drill-select operation is received for a block in a particular region at the top of the page associated with one drill level of one of the plurality of drill dimensions.

In some embodiments, the method further comprises: in response to selection of the first block, clearing all selected blocks, the selected blocks including selected blocks of the drill level of the drill dimension of the plurality of drill dimensions and other drill levels of other drill dimensions of the plurality of drill dimensions that were previously selected; a statistical representation of the multi-dimensional data is presented based on the default multi-dimensional data.

In some embodiments, adjusting the at least two statistical representations of the multidimensional data based on the updated multidimensional data, respectively, comprises: an incremental adjustment is performed based on the statistical representation of the multi-dimensional data, the increment being a difference between the statistical representation of the multi-dimensional data and the adjusted statistical representation of the multi-dimensional data.

In some embodiments, the statistical representations of the various drill dimensions of the statistical representation of the multi-dimensional data are independent of each other.

In some embodiments, adjusting the at least two statistical representations of the multidimensional data based on the drilled multidimensional data, respectively, comprises: an incremental adjustment is performed based on the statistical representation of the multi-dimensional data, the increment being a difference between the statistical representation of the multi-dimensional data and the adjusted statistical representation of the multi-dimensional data.

In some embodiments, adjusting the at least two statistical representations of the multidimensional data based on the drilled multidimensional data, respectively, comprises: and respectively adjusting at least two statistical representations of the multidimensional data based on the drilled multidimensional data by adopting a model-view model MVVM architecture, wherein the MVVM architecture at least comprises a view layer, a model layer and a view model layer.

In some embodiments, the model layer manages multidimensional data by way of unidirectional data flows using the Vuex library.

In some embodiments, the statistical representation comprises a graphical representation or a numerical tabular representation.

According to another aspect of the present invention, there is provided an apparatus for rendering multidimensional data, comprising: a presentation module configured to provide a visual management interface for the multidimensional data for presenting at least two statistical representations of a plurality of drill dimensions of the multidimensional data; wherein each drilling dimension comprises at least two drilling levels and the statistical representation of the drilling dimension comprises at least two blocks corresponding to the at least two drilling levels respectively; a receiving module configured to receive a drill-in selection operation for at least one of the blocks; a drilling processing module configured to drill the multi-dimensional data according to a selected drilling level corresponding to the selected block based on: responding to the at least one block being in the selected state before the drilling selection operation, and performing scrolling processing on the multi-dimensional data based on the selected drilling level; responding to at least one block in an unselected state before the drilling selection operation, and performing drilling-down processing on the multi-dimensional data based on the selected drilling level; updating the multidimensional data, and taking the multidimensional data subjected to drilling processing as updated multidimensional data; an adjustment module configured to adjust at least two statistical representations of the multidimensional data, respectively, based on the updated multidimensional data.

According to yet another aspect of the invention, there is provided a computing device comprising a memory and a processor, the memory being configured to store thereon computer-executable instructions that, when executed on the processor, perform the method of the above aspect.

According to yet another aspect of the present invention, there is provided a computer-readable storage medium having stored thereon computer-executable instructions which, when executed on a processor, perform the method of the above aspect.

The invention can be applied to a page data analysis platform, so that a user can drill and statistically display multi-drill-dimension data in real time in a multi-level manner, and analyze global data in real time. The user can display the result of drilling down on the top of the page in real time only by directly clicking the selected (simultaneously supporting the modification of the selected drilling dimension and the drilling level at any time) platform in the data chart according to the drilling dimension and the drilling level concerned by the user. The drill-down component at the top can also perform rapid modification of the data drilling dimensions and present the results of the modification in real time. The user can quickly compare data differences among different drilling dimensions of different levels, and an intention drilling result is obtained to be used as a decision basis. In addition, the position of the drill-down assembly is fixed at the top of the page. Even if the data page is too long, the display of the drill-down result is not influenced, and the service efficiency of the data drill-down function is ensured. The method and the device enable the user to freely select the drilling dimension to drill the deep layer, can obtain the feedback of the full drilling dimension result in real time, improve the mastering degree and the use experience of the user on the data, provide convenience for the user to mine the data under various combination conditions, and improve the productivity of the user side.

These and other aspects of the invention will be apparent from and elucidated with reference to the embodiment(s) described hereinafter.

Drawings

Further details, features and advantages of the invention are disclosed in the following description of exemplary embodiments with reference to the accompanying drawings, in which:

fig. 1 schematically shows an example application scenario in which the technical solution of the present invention may be applied;

2A-2B schematically illustrate example flow diagrams of methods for multi-dimensional data presentation according to some embodiments of the invention;

3A-3O schematically illustrate interface diagrams according to some embodiments of the invention;

FIG. 4 schematically illustrates another example flow diagram of a method for multi-dimensional data presentation, in accordance with some embodiments of the invention;

FIG. 5 schematically illustrates a viewing layer architecture diagram according to some embodiments of the invention;

FIG. 6 schematically illustrates a model layer architecture diagram in accordance with some embodiments of the invention;

FIG. 7 schematically illustrates an example block diagram of an apparatus for multi-dimensional data presentation in accordance with some embodiments of this invention;

FIG. 8 schematically illustrates an example block diagram of a computing device in accordance with some embodiments of this invention.

Detailed Description

Before describing embodiments of the present invention in detail, some relevant concepts are explained first:

1. drawing: for a group of M rows and N columns of data, the distribution of the group of data can be known globally by performing statistical graphical display on the 1 to N columns specified in the group of data. For example: for a set of enterprise data, it has drill-down dimensional data for the columns of year of registration, industry of the business, etc. The registered years and the affiliated industries are selected to be respectively used for carrying out histogram and pie chart statistical display, so that more enterprises are registered in the years and more enterprises are affiliated to the industries can be intuitively known.

2. Multidimensional data analysis: the processing and query of data are mainly realized by the following operations.

(1) Drill-down (Drill-down): the variation between different levels of the drilling dimension drops from the upper level to the next level, i.e. the summary data is split into more detailed data. Observing or adding new dimensions from summary data deep into detail data. For example, when the user analyzes "sales conditions in each region and city", the sales in a certain city may be subdivided into sales in each year, and the sales in a certain year may be further subdivided into sales in each quarter. Through the drilling function, the user can more deeply understand the data, can more easily find problems and make correct decisions. Specifically, a group of data assumed to be M rows and N columns is first rendered with an image. Then, drilling a column c with a value equal to val, and then performing image display after re-counting rows with a value of val in the column c in the M rows. The drill-in operation may specify that the value of column c is equal to a plurality of values, such as: v column c has a value equal to val1 or val 2. Drilling of n levels may also be performed, such as specifying column c to have a value equal to val, while column d has a value equal to val 3.

(2) Roll-up (Roll-up): the reverse operation of drilling down, from the lower level of the drilling dimension back to the upper level, aggregates from fine-grained data to the upper level.

(3) Slice (Slice): selecting a particular value in a drilling dimension;

(4) dicing (Dice): and selecting data or a plurality of specific values in a special interval in a drilling dimension for analysis.

3. Drilling a layer: the detailed information of the index includes, for example, ages of 1 to 10, 10 to 20, and 20 to 30 in the age range.

4. Drilling dimensions: the different name of the index refers to multiple indexes with multiple drilling dimensions.

Fig. 1 schematically shows an example scenario 100 where the technical solution according to the invention may be applied. As shown in FIG. 1, the scenario 100 may include a terminal device 120 of a user 110 and a server 130, which may communicate over a network 140.

The user 110 may view data, perform drilling operations, etc. through the terminal device 120 according to aspects of the present invention. The end device 120 may be any suitable computing device including, but not limited to, a smartphone, a smartwatch, a tablet, a laptop, a desktop computer, and the like. An application program for executing the multi-dimensional data presentation method provided by some embodiments of the present invention may be deployed on the terminal device 120. It should be understood that the multidimensional data presentation application can be, for example, a client program, a browser providing video playback functionality, a web program accessible via a browser, an applet accessible via other applications, and the like.

The server 130 may be a single server or a group of servers, or may be other computing devices with certain computing and communication capabilities. In some embodiments, the terminal device 120 and the server 130 may also be integrated. In this case, the terminal device 120 may exchange information directly over the internal communication link without going through the network 140. The server 130 may have associated applications deployed thereon to receive messages from the terminal devices 120, transmit data to the terminal devices 120, and so on.

An embodiment of a specific structure of the

terminal devices

120, 150 and the server 130 will be explained in further detail below with reference to fig. 8, and will not be described herein again. Further, it should be understood that the multidimensional data rendering methods described in the present disclosure may be performed by either one of the terminal device 120, the server 130, or possibly both.

The network 140 may be a wired network connected via, for example, cables, fiber optics, etc., or may be a wireless network such as 2G, 3G, 4G, 5G, Wi-Fi, bluetooth, ZigBee, Li-Fi, etc.

FIG. 2A schematically illustrates an example flow diagram of a method 200 for presenting multidimensional data, in accordance with some embodiments of the present invention. Illustratively, the method 200 may be performed by either one of the terminal device 120, the server 130, or both, of fig. 1. 3A-3O schematically illustrate example interface diagrams 300A-300O, according to some embodiments of the invention. The multidimensional data presentation method 200 is described in detail below in conjunction with these interface diagrams.

At step 210, a visualization management interface for the multi-dimensional data may be provided on a display device, such as terminal equipment 120, for presenting at least two statistical representations of the plurality of drilled dimensions of the multi-dimensional data. Each drill dimension may include at least two drill levels and the statistical representation of the drill dimension includes at least two blocks corresponding to the at least two drill levels, respectively. Alternatively, the presented multidimensional data may be either raw data or drilled data. And, optionally, the data to be presented may be locally stored data, may be data obtained from a remote database via a network, or may be data requested from a server via a network. Illustratively, at least two statistical representations of a plurality of drilled dimensions of the multi-dimensional data may be generated by, for example, the terminal device 120 based on the data to be presented, where the statistical representations may be various graphical representations such as pie charts, histograms, pie charts, line graphs, etc., as well as numeric table representations or other statistical representations. Further, optionally, the statistical representations of the respective drill dimensions of the statistical representation of the multi-dimensional data are independent of each other. That is, each drilled dimension has a respective statistical representation.

Fig. 3A schematically illustrates a presentation interface of an operations platform that may perform the method 200, which illustratively presents an initial data representation based on enterprise data. As shown in FIG. 3A, a user may view an enterprise data representation in a "guest group representation" column. Optionally, the platform may also include other columns such as "my guests group" shown in FIG. 3A, which are not described here again in a single context, as they are not relevant to the present invention. The user may select the enterprise data to view through the above organization selection and data date option. As shown, the data image includes 9 drilling dimensions, i.e., registration time, account opening time, customer group structure, current year cumulative income, general loan balance, current year cumulative income amount, whether a new account is opened, whether an enterprise APP is opened, and whether a legal person is lending a customer. Each drill dimension includes a plurality of drill levels, and the statistical representation of each drill dimension includes a block corresponding to each of the drill levels. For example, for the registration time drill dimension, which includes 6 drill levels, the statistical representations thereof (here, pie charts) correspond to the following blocks, respectively: not acquired (0,1) year, [1,3) year, [3,5) year, [5,10) year, [10 years, + ∞). For other drilling dimensions, it can be similarly understood and will not be described in detail herein.

In step 220, a drill-select operation for at least one of the blocks is received. For example, the user may select at least one tile through an input interface of the terminal device, where the at least one tile may be at least one tile in a certain drilling dimension, or may relate to a combination of tiles in multiple drilling dimensions. Alternatively, the user may effect the selection of at least one tile by clicking on the at least one tile.

Illustratively, for the interface shown in FIG. 3A, the user may effect selection of the respective tile by clicking on the respective graphical section. For example, as shown in interface diagram 300B in FIG. 3B, the user may click on the "Yes in the" drill dimension "tile of" if New Account this year "to select that tile. Optionally, after the user clicks on the tile, detailed data corresponding to the tile, such as the information shown in the rounded rectangle in fig. 3B, may be presented in response to the click event. In addition, optionally, the user may select a plurality of corresponding tiles by clicking a plurality of graphic portions, for example, an option for confirming the selection may be provided, so that the user may uniformly submit the drilling operation after selecting a plurality of tiles.

In step 230, the multidimensional data is drilled according to the selected drilling level corresponding to the selected block based on the following steps. Illustratively, in response to a user selection of at least one tile, the platform may drill down on the presented multidimensional data according to a respective drill-down level, for example, retrieving the respective data from a local or remote database according to the drill-down level, or requesting the respective data from a server. For one drill level, drilling may be accomplished by: for the drilling dimensionality corresponding to the selected block, the drilled data are statistical data corresponding to the selected block; and aiming at other drilling dimensions, the drilled data are statistical results of partial data meeting the drilling level conditions. Drilling may be similarly performed for multiple drilling levels. For example, drilling may be performed sequentially for each drilling level in the same drilling manner, or multiple drilling levels may be combined into one drilling condition, and the multidimensional data is directly drilled under the drilling condition, where the drilled data is statistical data of the data satisfying the drilling condition in each drilling dimension.

Illustratively, in response to a user selecting a "yes" tile in the "whether to newly open an account the year" drill-in dimension, the platform may drill-in the presented multi-dimensional data according to the respective drill-in level. For the drilling dimension of 'whether to open an account newly in the current year', the drilled data are 'yes' corresponding data; for other drilling dimensions, the drilled data is a statistical structure of partial data of a newly opened account in the current year.

Illustratively, in response to a user selecting "whether to newly open an account in the current year" yes "tiles in the drill dimension, and" accumulate revenue in the current year "meta" tiles in the drill dimension "(0, 1000), the platform may drill the presented multi-dimensional data for the respective drill levels in turn, in the order of selection; or, the two may be combined into one drilling condition, and the displayed multidimensional data is directly drilled, where the drilled data includes statistical data of drilling dimensions that satisfy the drilling condition; or combining the drilling condition corresponding to the selected block with the existing drilling condition into one drilling condition, and directly drilling the initial multidimensional data which is not drilled, wherein the drilled data comprises the statistical data of each drilling dimension which meets the existing drilling condition and the selected drilling condition.

In some embodiments, the user-selected block may be a block that has been selected, i.e., drilled for the corresponding drill level, or an unselected block, i.e., not yet drilled for the corresponding drill level. Therefore, as shown in fig. 2B, step 230 may include the step of determining whether the block selected by the user has already been selected. For a block, in response to at least one block being in a selected state before the drill-out selection operation, performing a scrolling process on the multi-dimensional data based on the selected drill-out level (step 2031); in response to at least one block being in an unselected state prior to a drill-in-select operation, the multi-dimensional data is drill-down processed based on the selected drill-in level (step 2302). Subsequently, the multidimensional data is updated, and the drilled multidimensional data is used as updated multidimensional data (step 2303).

Illustratively, assuming that the "yes" tile in the "new account opening this year" drill dimension and the "accumulated inputs this year" meta "tile in the" drill dimension "(0,1000) have been selected, if the user again selects the" yes "tile in the" new account opening this year "drill dimension, then the drilling based on the hierarchy to which the tile corresponds may be cancelled. That is, the drilled-down multidimensional data only includes multidimensional data that was drilled based on the drill level corresponding to the (0,1000) meta tile in the "cumulative inputs" drill dimension for the current year. If the user selects the "0-tuple" tile in the "cumulative inputs of the year" drill dimension, the rendered multidimensional data may be drilled based on the drill level corresponding to the tile according to the process described above. That is, the drilled-down multidimensional data includes multidimensional data that is drilled based on the drilling levels corresponding to the "accumulate-in-the-year" meta "tile in the drill dimension (0,1000)," accumulate-in-the-year "meta" tile in the drill dimension (0,1000), and "accumulate-in-the-year" tile in the drill dimension (0-meta).

In some embodiments, when a tile selected by a user has been previously selected, the drilling of multidimensional data according to the drill level of the drill dimension of the plurality of drill dimensions may be undone in response to the tile having been previously selected. Subsequently or concurrently, it may be determined whether other selected drill levels exist for the drill dimension. In response to the drilling dimension having other selected drilling levels, drilling the multi-dimensional data based on the other selected drilling levels of the drilling dimension; responsive to the drill dimension not having other selected drill levels, cancelling drilling of the multi-dimensional data based on the drill dimension.

Illustratively, assume that the "yes" tile in the "new account opening this year" drill dimension and the "0-tuple" tile and "(0,1000) tuple" tile in the "cumulative inputs this year" drill dimension have been selected. If the user selects again "yes" block in the "drill dimension" whether to open account new in the current year ", the drilling of the multidimensional data according to the drill dimension may be cancelled. If the user again selects the "0-tuple" tile in the "cumulative input of the year" drill dimension, the drilling of multidimensional data according to the drill level corresponding to the tile in the drill dimension may be cancelled, but the drilling of multidimensional data according to the drill level corresponding to the "(0,1000) tuple" tile in the drill dimension continues.

At step 240, at least two statistical representations of the multi-dimensional data are adjusted based on the drilled down multi-dimensional data, respectively. In other words, the respective at least two statistical representations may be regenerated and presented based on the drilled down multi-dimensional data, or adjusted based on the presented at least two statistical representations and presented with the adjusted statistical representations. Optionally, the delta adjustment may be based on a statistical representation of the multi-dimensional data, the delta being a difference between the statistical representation of the multi-dimensional data and the adjusted statistical representation of the multi-dimensional data. And the effect of smooth transition is displayed through the animation property, the updating speed is higher, and the effect is better.

Illustratively, interface diagram 300C in FIG. 3C schematically shows a statistical representation of the adjusted drill dimensions based on the multidimensional data of the "yes/no new account opening this year" drill dimensions for the drill level corresponding to the block. Interface diagrams 300D and 300E in fig. 3D and 3E schematically show a statistical representation corresponding to the "general loan balance" drilling dimension before adjustment (corresponding to fig. 3A) and a statistical representation corresponding to the "general loan balance drilling dimension after adjustment (corresponding to fig. 3C), respectively.

As described in step 230, drilling may be performed for a single drilling level in a single drilling dimension, or may be performed for drilling levels in multiple drilling dimensions. Illustratively, interface diagram 300F in FIG. 3F schematically shows a statistical representation of the various drilling dimensions after another adjustment based on whether "is" the drilling level for the block "in the drilling dimension newly opened this year" and the drilling level for the "accumulated revenue" block of "(0, 1000) dollars" in the drilling dimension this year. Optionally, such drilling based on multiple drilling levels may be implemented by selecting different drilling levels sequentially, or by selecting multiple drilling levels simultaneously, and the corresponding drilling process may be performed based on the relevant description in step 230.

Furthermore, within one drilling dimension, drilling may also be performed for multiple drilling levels. Illustratively, interface diagram 300G in FIG. 3G schematically shows a statistical representation of each drill dimension after yet another adjustment based on whether "is" the drill level for the block "in the" new account opened this year "drill dimension and the drill levels for the" 0-tuple "and" (0,1000) -tuple "blocks in the" cumulative revenue this year "drill dimension.

Optionally, for the drilling dimension currently in drilling, that is, the drilling dimension based on which the last drilling is performed, all data of the drilling dimension before the current drilling may be retained, so as to facilitate comparison by the user. Illustratively, interface diagram 300H in fig. 3H schematically illustrates such a data presentation. Assume that the "general loan balance" drill dimension was selected in the last drill, where the drill levels corresponding to the blocks "[ 100,500) ten thousand yuan", "[ 500,1000) ten thousand yuan", and "[ 1000,3000) ten thousand yuan" are in the drill condition and may be highlighted, and the drill levels corresponding to the remaining blocks are not in the drill condition and may be grayed out. In addition, for the drilling dimension not currently in drilling, that is, the drilling dimension not based on the latest drilling, only the data of the block corresponding to the drilling level in the drilling condition may be presented, that is, the statistical representation may be presented only based on the data after drilling. For example, in the statistical representation of the "whether to open an account new this year" drilling dimension in fig. 3G, only the data corresponding to the "yes" chunk is included, and the data corresponding to the "no" chunk is set to zero.

The interface diagram 300I in fig. 3I schematically illustrates the presentation of a statistical representation of the various drill dimensions after reducing the drill level (compared to fig. 3G). As shown, presented currently is a statistical representation of multi-dimensional data after drilling based only on the "0-tuple" in the "cumulative revenue this year" drilling dimension and the "0, 1000-tuple" chunk's corresponding drilling level, where drilling based on whether the "yes" chunk in the "new account opened this year" drilling dimension was cancelled.

In some embodiments, the method 200 may further include: in response to selection of the first block, clearing all selected blocks, the selected blocks including selected blocks of the drill level of the drill dimension of the plurality of drill dimensions and other drill levels of other drill dimensions of the plurality of drill dimensions that were previously selected; a statistical representation of the multi-dimensional data is presented based on the default multi-dimensional data. This allows the user to quickly clean up all drill conditions, allowing him to easily recover to the original global multidimensional data at any drill-down depth.

Illustratively, for the interfaces shown in fig. 3C, 3F, 3G, or 3I, the user may cancel all existing drill levels by clicking on the "clear-one" option. For example, with respect to FIG. 3I, after the user clicks the "one click clear" option, drilling based on the drill levels corresponding to the "0-tuple" and "(0, 1000) tuple" tiles in the "cumulative revenue of the year" drill dimension may be cancelled. Diagram 300J schematically illustrates the presentation of a statistical representation of multi-dimensional data based on default multi-dimensional data, wherein the drilling condition for the multi-dimensional data is null, i.e., the default state.

In some embodiments, the method 200 may further include: presenting the drill level of the drill dimension of the selected plurality of drill dimensions and other drill levels of other drill dimensions of previously selected plurality of drill dimensions in a block in a particular region of a page. This may allow the user to conveniently and clearly know the drill level that has been selected, facilitating the user to more quickly determine the next operation. Optionally, the total amount of data after drilling corresponding to each drilling dimension or each drilling level may be displayed, so that the user may clearly know the statistical result of each drilling step. The drill dimensions and drill levels and optionally the corresponding data in a particular region are consistent with the meaning of the presented statistical representation. They may be different position and form view renderings driven by the same data, ensuring data consistency and performance consistency.

In some embodiments, the location fix of the particular region is at the top of the page. Illustratively, the selected or previously selected drill level may be presented in the form of a navigation bar (optionally, an upper navigation bar). Further, the selected or previously selected drill level may also be presented at different locations of the page in the form of a bottom navigation bar, a sidebar, a floating window, and the like. When the specific area is presented in other forms, the presentation manner of the drilling dimensions and/or the blocks in the specific area can also be adjusted accordingly, for example, when the specific area is presented in a sidebar manner, the drilling dimensions in the drilling can be sequentially arranged longitudinally.

Illustratively, in the interface shown in FIG. 3C, 3F, 3G, or 3I, the selected or previously selected drill level is presented in the form of an upper navigation bar. In the interface diagram 300K shown in fig. 3K, such a navigation bar is shown separately. As presented in the navigation bar in fig. 3K, the selected or previously selected drill levels include the drill level corresponding to the "yes" block in the "new account opened this year" drill dimension, "0-yuan" and "(0, 1000) yuan" block in the "cumulative revenue this year" drill dimension, and the drill level corresponding to the "[ 1,3) year" block in the "registration time" drill dimension. The presentation order of the drill levels may be determined according to the time selected or may also be determined according to a default order of drill dimensions.

In this case, the selection of at least one of the blocks may be received by: a selection of a block in a particular region or a block in a statistically represented region of multi-dimensional data associated with one drill level of one of a plurality of drill dimensions is received. This way of selecting a tile is consistent with the logical behavior of clicking on a tile for selection above. This provides more diverse and flexible data drilling modes for the user, and helps to improve the interaction efficiency.

Illustratively, a user may cancel drilling based on a drilling hierarchy for an entire drilling dimension by clicking on a delete option for that drilling dimension, or may add a new drilling dimension to participate in drilling by an optional add option. Further, as presented by interface 300L shown in FIG. 3L, a currently selected tile may be viewed by clicking on each drill dimension in the navigation bar. For example, clicking on the option corresponding to the "cumulative revenue this year" drill dimension may present an expanded menu in which the "0-gram" and "[ 10, 50) ten thousand grams" tiles may be identified as selected. In this state, the user may cancel drilling based on the drill-in level to which the respective tile corresponds by clicking on the "0-or" (0,1000) meta "tile. Alternatively, the user may select the tile by clicking on other tiles, thereby drilling the presented multidimensional data based on the corresponding drilling level for the tile. As shown in interface 300M in FIG. 3M, the user may further select to drill the presented multi-dimensional data at a drill level corresponding to the "Per year accumulated revenue" Meta in drill dimension "(0,1000) tile. Such a drill-out operation or a cancel drill-out operation may be equivalent to the previously described drill-out operation or cancel drill-out operation performed by clicking on the corresponding tile.

Alternatively, such a specific area may be fixedly presented, so that the user can always see the specific area when browsing or operating, so that the current drilling progress can be known at any time. Or, alternatively, such specific areas may be hidden or presented. Illustratively, the navigation bar may be deployed or stowed. Interface 300N in FIG. 3N schematically shows an expanded navigation bar with a "collapse" option beneath it that a user can collapse the navigation bar by clicking on the option. Interface 300O in FIG. 3O schematically shows a collapsed navigation bar, with a "expand" option in the corresponding location that the user may expand by clicking on. This may allow the user to select whether to present a particular area, such as a navigation bar, as desired, which when not present may save page space for greater viewable height. Alternatively, such specific areas may be automatically presented or hidden depending on factors such as the user's current operating location, the length of time the user has not operated on the specific area, whether drilling conditions are currently present, and the like.

FIG. 4 illustrates an example flow diagram of a method 400 of multi-dimensional data rendering in accordance with some embodiments of the invention, illustrated schematically as a data representation page. The method 400 may be performed by a front-end application disposed, for example, on the terminal device 102.

The method 400 begins at step 401. At step 402, a user may enter a portrait page, such as interface 300A shown in FIG. 3A. The representation page presents at least two statistical representations of a plurality of drilling dimensions of the multi-dimensional data, each drilling dimension including at least two drilling levels and the statistical representation of the drilling dimension including at least two blocks corresponding to the at least two drilling levels, respectively. At step 403, the user selects a tile corresponding to one drill level for one drill dimension. The user may select a tile of a drill dimension by clicking on the corresponding tile, or the selection may be made through an option in the navigation bar. The front-end application may listen for such user actions and perform step 404 in response to listening for such user actions.

Then, in step 413, the multidimensional data is drilled down according to the drilling level corresponding to the selected block. Specifically, in step 404, the front-end application may determine whether the block corresponding to the selected block has been drilled down, that is, whether the drilling level of the drilling dimension has been drilled down. If the block corresponding to the selected block has not been drilled down, i.e., the drill level of the drill dimension has not been drilled down, the method 400 proceeds to step 405. In step 405, a drill-down of the block of the selected drill-in dimension may be added, i.e., a drill-in based on the drill-in level corresponding to the respective block is added. The drilled full drill dimension data may then be obtained at step 406, for example, requesting the corresponding data from a back end (such as a server). The back-end can return the corresponding data at a speed such as milliseconds, so that real-time dynamic update of the front-end data can be ensured. If the block corresponding to the selected block has been drilled down, i.e., the drill level of the drill dimension has been drilled down, the method 400 proceeds to step 407. In step 407, the drill-down of the block may be cancelled, i.e., the drill-down based on the drill-down level corresponding to the block is deleted. Subsequently, in step 408, it can be determined whether there are other drill levels needing to be drilled down in the drill dimension in which the selected tile is located, i.e., whether there are other previously selected tiles. If there is a block in the drilling dimension that needs to be drilled down, data drilling continues based on the drilling level corresponding to the corresponding block in the drilling dimension, and the method 400 may proceed to step 406. If there is no block needing to be drilled down in the drilling dimension, the drilling down of the drilling dimension can be directly cancelled, that is, the drilling based on the drilling dimension is cancelled. If there are currently other selected drill levels, then drilling is performed based on the other selected drill levels, and if there are no selected drill levels, then drilling is performed based on a default drill level. Subsequently, the method may likewise proceed to step 406.

Finally, in step 414, at least two statistical representations of the multidimensional data are adjusted based on the drilled multidimensional data, respectively. Specifically, after the full drill dimension data after drilling is obtained in step 406, all the drill dimension data in the representation may be updated in real time in step 410 based on the obtained data, for example, updating the statistical representation corresponding to each drill dimension, the corresponding drill-down information of the navigation bar, and the related drill data.

In step 411, it may be determined whether the current drill-down result meets the user requirement, and if so, the method 400 ends in step 412; if not, the method 400 returns to step 403. Whether the drilling result meets the user requirement can be judged through user operation, for example, when the user selects to save or export the current portrait, the current portrait can be considered to meet the requirement; when the user continues to click the block or operate in the navigation bar to select the block or cancel the selected block, the current portrait can be considered not to meet the requirement; and so on.

The method for multidimensional data drilling described in accordance with fig. 2A-4 may be implemented based on a model-view model MVVM architecture. In some embodiments, a Model-View Model MVVM architecture may be employed to adjust at least two statistical representations of multidimensional data based on the drilled-down multidimensional data, respectively, the MVVM architecture including at least a Model layer (Model), a View layer (View), and a View Model layer (ViewModel).

FIG. 5 schematically illustrates an example block diagram of viewing layer 500, according to some embodiments of this invention. As shown in FIG. 5, the view layer 500 may implement a page based on HTML protocol, which may include a drill-down navigation bar area 510 and a plurality of interactable graphic areas 520 that show the data content of the drill-down dimensions generated as needed for the actual data drill-down dimensions.

The drill-down navigation bar area 510 can be automatically generated according to the drill-down hierarchy and the drill-down dimension content of the current user, and is fixed at the top of the page by taking the attribute position of the cascading style sheet as a fixed value. When the user performs the browser scrolling operation, the drill-down navigation bar area 510 may be always at the top of the page, so that the user can know the progress of the current operation at any time and perform the deleting or clearing operation. In addition, the drill-down navigation bar area 510 may be switched to a hidden state during initialization or no drill-down condition to save page space. At the same time, the user may also choose to hide the drill-down navigation bar area as it appears to obtain a greater visible height. The operation and advantages of the navigation bar area 510 have been described above with reference to fig. 2A, and are not described herein again.

The interactive graphics area 520 showing the contents of the drilling dimension data is the main view contents of the page, and dynamically renders the canvas according to the drilling dimension information, the statistical representation category information and the data of the drilling dimension proportion in the data. Whether each graphic region 520 is displayed or not, the display form and the display content are dynamically determined by data, so that the cost and the complexity of manual intervention can be reduced. In the graph area 520, monitoring of the interactive operation is added to the blocks representing each block in the drilling dimension, and when it is monitored that the user performs the interactive operation, a drilling process flow, that is, a data drilling process flow, may be entered according to the drilling dimension and the block where the user performs the interaction (which is described in detail in the description of fig. 2A). In the process of updating data, the drilling dimension and the block of the drilling dimension are not changed generally, so a form of dynamic update is adopted. Compared with the traditional complete refreshing, the dynamic updating can be based on the content drawn by the original canvas, the incremental updating is carried out, and meanwhile, the effect of smooth transition can be displayed through the animation attribute, so that the faster updating speed and the better presenting effect are achieved.

FIG. 6 schematically illustrates an example block diagram of a model layer 600 in accordance with some embodiments of the invention. As shown in FIG. 6, in some embodiments, the model layer may manage multidimensional data in a unidirectional data flow manner using a Vuex library.

In particular, all data for the pages implemented by the view layer is managed by the model layer 600. The model layer mainly stores a list of graphic data, and each graphic data in the graphic data list has three types of data of drilling dimension block data, graphic display data and drilling level data, which are assembled into a virtual DOM through the logic of the view model layer. When the user triggers a drill-down event through a clicked interaction event, the code logic will initiate an asynchronous request to the server through Actions. And the server side asynchronously returns data and then enters the statuses, and finally initiates the update of the model layer data after data processing and drilling. The update of the model layer data automatically triggers a view model update of the view model layer. All places where the graphical data list data is modified must pass through the relationships so that the source of the data modification is controllable.

In addition, the view model layer is a response processing layer when the user operates on the view and when other modifications to the data occur. The data is updated to the view layer through the API of ObjectDefineProperty, and no additional DOM operation is performed. In this scheme, data can be updated into the drill-down navigation bar area and the graphic area through the view model layer.

FIG. 7 schematically illustrates an example block diagram of a multi-dimensional data presentation apparatus 700 in accordance with some embodiments of this invention. As shown in FIG. 7, the multi-dimensional data rendering apparatus includes a rendering module 710, a receiving module 720, a drill processing module 730, and an adjusting module 740.

In particular, the presentation module 710 may be configured to provide a visualization management interface for the multidimensional data for presenting at least two statistical representations of a plurality of drill dimensions of the multidimensional data; wherein each drilling dimension comprises at least two drilling levels and the statistical representation of the drilling dimension comprises at least two blocks corresponding to the at least two drilling levels, respectively. The receiving module 720 may be configured to receive a drill-select operation for at least one of the blocks. The drilling processing module 730 may be configured to drill the multi-dimensional data according to the selected drilling level corresponding to the selected block based on: responding to the at least one block being in the selected state before the drilling selection operation, and performing scrolling processing on the multi-dimensional data based on the selected drilling level; responding to at least one block in an unselected state before the drilling selection operation, and performing drilling-down processing on the multi-dimensional data based on the selected drilling level; and updating the multidimensional data, and taking the multidimensional data subjected to drilling processing as the updated multidimensional data. The adjusting module 740 may be configured to adjust the at least two statistical representations of the multidimensional data based on the updated multidimensional data, respectively.

The multidimensional data rendering apparatus 700 can be deployed on either of the terminal device 120, the server 130 shown in fig. 1, or a combination of both, for example, as a multidimensional data rendering application. It should be understood that the multi-dimensional data presentation device 700 may be implemented in software, hardware, or a combination of software and hardware. Several different modules may be implemented in the same software or hardware configuration, or one module may be implemented by several different software or hardware configurations.

Furthermore, the multi-dimensional data rendering apparatus 700 may be used to implement the multi-dimensional data rendering method 200 described with respect to FIG. 2A, the relevant details of which have been described in detail above and will not be repeated here for the sake of brevity. The multi-dimensional data rendering apparatus 700 may have the same features and advantages as described with respect to the multi-dimensional data rendering method 200.

Fig. 8 schematically illustrates an example block diagram of a computing device 800. Computing device 800 may represent a device to implement various means or modules described herein and/or to perform various methods described herein. Computing device 800 may be, for example, a server, a desktop computer, a laptop computer, a tablet, a smartphone, a smartwatch, a wearable device, or any other suitable computing device or computing system that may include various levels of devices from full resource devices with substantial storage and processing resources to low resource devices with limited storage and/or processing resources. In some embodiments, the terminal device 120 and the server 130 described above with respect to fig. 1 or the multi-dimensional data rendering apparatus 700 described with respect to fig. 7 may be implemented in one or more computing devices 800.

As shown, the example computing device 800 includes a processing system 801, one or more computer-readable media 802, and one or more I/O interfaces 803 communicatively coupled to each other. Although not shown, the computing device 800 may also include a system bus or other data and command transfer system that couples the various components to one another. A system bus can include any one or combination of different bus structures, such as a memory bus or memory controller, a peripheral bus, a universal serial bus, and/or a processor or local bus that utilizes any of a variety of bus architectures, or that also includes data lines, such as control and data lines.

Processing system 801 represents functionality to perform one or more operations using hardware. Thus, the processing system 801 is illustrated as including hardware elements 804 that may be configured as processors, functional blocks, and so forth. This may include implementing an application specific integrated circuit or other logic device formed using one or more semiconductors in hardware. Hardware elements 604 are not limited by the materials from which they are formed or the processing mechanisms employed therein. For example, a processor may be comprised of semiconductor(s) and/or transistors (e.g., electronic Integrated Circuits (ICs)). In such a context, processor-executable instructions may be electronically-executable instructions.

The computer-readable medium 802 is illustrated as including memory/storage 805. Memory/storage 805 represents memory/storage associated with one or more computer-readable media. The memory/storage 805 may include volatile storage media (such as Random Access Memory (RAM)) and/or nonvolatile storage media (such as Read Only Memory (ROM), flash memory, optical disks, magnetic disks, and so forth). The memory/storage 805 may include fixed media (e.g., RAM, ROM, a fixed hard drive, etc.) as well as removable media (e.g., flash memory, a removable hard drive, an optical disk, and so forth). Illustratively, the memory/storage 805 may be used to store various data mentioned in the embodiments above. The computer-readable medium 802 may be configured in various other ways as further described below.

One or more input/output interfaces 803 represent functionality that allows a user to enter commands and information to computing device 800, and that also allows information to be presented to the user and/or sent to other components or devices using various input/output devices. Examples of input devices include a keyboard, a cursor control device (e.g., a mouse), a microphone (e.g., for voice input), a scanner, touch functionality (e.g., capacitive or other sensors configured to detect physical touch), a camera (e.g., motion that does not involve touch may be detected as gestures using visible or invisible wavelengths such as infrared frequencies), a network card, a receiver, and so forth. Examples of output devices include a display device (e.g., a monitor or projector), speakers, a printer, a haptic response device, a network card, a transmitter, and so forth. Illustratively, in the above-described embodiments, the user 110 may perform various data drilling operations through the input interface of the terminal device 120, and may view data and the like through the output interface of the terminal device 120.

Computing device 800 also includes a multidimensional data presentation policy 806. Multidimensional data rendering policy 806 may be stored as computer program instructions in memory/storage 805. The multi-dimensional data rendering policy 806 may implement, in conjunction with the processing system 801 or the like, the full functionality of the various modules of the multi-dimensional data rendering apparatus 700 described with respect to FIG. 7.

Various techniques may be described herein in the general context of software, hardware, elements, or program modules. Generally, these modules include routines, programs, objects, elements, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The terms "module," "functionality," and the like, as used herein generally represent software, firmware, hardware, or a combination thereof. The features of the techniques described herein are platform-independent, meaning that the techniques may be implemented on a variety of computing platforms having a variety of processors.

An implementation of the described modules and techniques may be stored on or transmitted across some form of computer readable media. Computer readable media can include a variety of media that can be accessed by computing device 800. By way of example, and not limitation, computer-readable media may comprise "computer-readable storage media" and "computer-readable signal media".

"computer-readable storage medium" refers to a medium and/or device, and/or a tangible storage apparatus, capable of persistently storing information, as opposed to mere signal transmission, carrier wave, or signal per se. Accordingly, computer-readable storage media refer to non-signal bearing media. Computer-readable storage media include hardware such as volatile and nonvolatile, removable and non-removable media and/or storage devices implemented in a method or technology suitable for storage of information such as computer-readable instructions, data structures, program modules, logic elements/circuits or other data. Examples of computer readable storage media may include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical storage, hard disks, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or other storage devices, tangible media, or an article of manufacture suitable for storing the desired information and accessible by a computer.

"computer-readable signal medium" refers to a signal-bearing medium configured to transmit instructions to the hardware of computing device 800, such as via a network. Signal media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave, data signal or other transport mechanism. Signal media also includes any information delivery media. By way of example, and not limitation, signal media includes wired media such as a wired network or direct-wired connection, and wireless media such as acoustic, RF, infrared and other wireless media.

As previously described, hardware element 801 and computer-readable medium 802 represent instructions, modules, programmable device logic, and/or fixed device logic implemented in hardware form that may be used in some embodiments to implement at least some aspects of the techniques described herein. The hardware elements may include integrated circuits or systems-on-chips, Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs), Complex Programmable Logic Devices (CPLDs), and other implementations in silicon or components of other hardware devices. In this context, a hardware element may serve as a processing device that performs program tasks defined by instructions, modules, and/or logic embodied by the hardware element, as well as a hardware device for storing instructions for execution, such as the computer-readable storage medium described previously.

Combinations of the foregoing may also be used to implement the various techniques and modules described herein. Thus, software, hardware, or program modules and other program modules may be implemented as one or more instructions and/or logic embodied on some form of computer-readable storage medium and/or by one or more hardware elements 801. Computing device 800 may be configured to implement particular instructions and/or functions corresponding to software and/or hardware modules. Thus, implementing a module as a module executable by the computing device 800 as software may be implemented at least partially in hardware, for example, using the processing system's computer-readable storage media and/or hardware elements 801. The instructions and/or functions may be executed/operable by, for example, one or more computing devices 800 and/or processing systems 801 to implement the techniques, modules, and examples described herein.

The techniques described herein may be supported by these various configurations of computing device 800 and are not limited to specific examples of the techniques described herein.

It will be appreciated that embodiments of the disclosure have been described with reference to different functional units for clarity. However, it will be apparent that the functionality of each functional unit may be implemented in a single unit, in a plurality of units or as part of other functional units without departing from the disclosure. For example, functionality illustrated to be performed by a single unit may be performed by a plurality of different units. Thus, references to specific functional units are only to be seen as references to suitable units for providing the described functionality rather than indicative of a strict logical or physical structure or organization. Thus, the present disclosure may be implemented in a single unit or may be physically and functionally distributed between different units and circuits.

It will be further understood that, although the terms first, second, etc. may be used herein to describe various devices, elements, components or sections, these devices, elements, components or sections should not be limited by these terms. These terms are only used to distinguish one device, element, component or section from another device, element, component or section. Further, "a plurality" herein means at least one, that is, two or more.

Variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed subject matter, from a study of the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other elements or steps, and the word "a" or "an" does not exclude a plurality. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.

Claims

1. A multidimensional data visualization management method comprises the following steps:

providing a visualization management interface for the multi-dimensional data for presenting at least two statistical representations of a plurality of drill dimensions of the multi-dimensional data; wherein each drilling dimension comprises at least two drilling levels and the statistical representation of the drilling dimension comprises at least two blocks corresponding to the at least two drilling levels respectively;

receiving a drilling selection operation for at least one of the blocks;

drilling the multidimensional data according to the selected drilling level corresponding to the selected block based on the following steps:

in response to the at least one block being in a selected state prior to the drill-out selection operation, performing a rollup process on the multi-dimensional data based on the selected drill-out level;

in response to the at least one block being in an unselected state prior to the drill-out selection operation, performing drill-down processing on the multi-dimensional data based on the selected drill-out level; and

updating the multidimensional data, and taking the drilled multidimensional data as the updated multidimensional data;

adjusting the at least two statistical representations of the multi-dimensional data, respectively, based on the updated multi-dimensional data.

2. The method of claim 1, wherein said responsive to the at least one block being in a selected state prior to the drill-out selection operation, scrolling the multi-dimensional data based on the selected drill-out level comprises:

determining whether other selected drill levels exist for the drill dimension;

responding to other selected drilling levels of the drilling dimension, and performing drilling-down processing on the multi-dimensional data based on the other selected drilling levels of the drilling dimension; and

responsive to the drill dimension not having other selected drill levels, cancelling drill-down processing of the multi-dimensional data based on the drill dimension.

3. The method of claim 1, further comprising:

presenting the drill level of the selected one of the plurality of drill dimensions and other drill levels of other ones of the plurality of drill dimensions that have been previously selected in blocks in a particular region of a page.

4. The method of claim 3, wherein the receiving a selection of at least one of the blocks comprises:

receiving a drill-out operation of a block in the particular region or a block in a statistically represented region of the multi-dimensional data associated with a drill-out level of a drill-out dimension of the plurality of drill-out dimensions.

5. The method of claim 3, wherein the receiving a selection of at least one of the blocks comprises:

receiving a drill-out operation for a block in the particular region at the top of the page associated with a drill-out level for one of the plurality of drill-out dimensions.

6. The method of any of claims 1-5, further comprising:

in response to selection of a first block, clearing all selected blocks including selected blocks of the drill level of the drill dimension of the plurality of drill dimensions and other drill levels of other drill dimensions of the plurality of drill dimensions that have been previously selected;

presenting a statistical representation of the multidimensional data based on the default multidimensional data.

7. The method of any of claims 1-5, wherein the adjusting the at least two statistical representations of the multidimensional data based on the updated multidimensional data, respectively, comprises:

performing an incremental adjustment based on the statistical representation of the multi-dimensional data, the increment being a difference between the statistical representation of the multi-dimensional data and the adjusted statistical representation of the multi-dimensional data.

8. The method of any of claims 1-5, wherein the adjusting the at least two statistical representations of the multidimensional data based on the drilled multidimensional data, respectively, comprises:

and respectively adjusting the at least two statistical representations of the multidimensional data based on the drilled multidimensional data by adopting a model-view model (MVVM) architecture, wherein the MVVM architecture at least comprises a view layer, a model layer and a view model layer.

9. The method of claim 8, wherein the model layer manages the multidimensional data by way of unidirectional data streams using a Vuex library.

10. The method of any of claims 1-5, wherein the statistical representation comprises a graphical representation or a digital tabular representation.

11. An apparatus for rendering multidimensional data, comprising:

a presentation module configured to provide a visual management interface for the multidimensional data for presenting at least two statistical representations of a plurality of drill dimensions of the multidimensional data; wherein each drilling dimension comprises at least two drilling levels and the statistical representation of the drilling dimension comprises at least two blocks corresponding to the at least two drilling levels respectively;

a receiving module configured to receive a drill-in-select operation for at least one of the blocks;

a drilling processing module configured to drill the multi-dimensional data according to a selected drilling level corresponding to the selected block based on:

an adjustment module configured to adjust the at least two statistical representations of the multi-dimensional data, respectively, based on the updated multi-dimensional data.

12. A computing device comprising a memory and a processor, the memory configured to store thereon computer-executable instructions that, when executed on the processor, perform the method of any of claims 1-10.

13. A computer-readable storage medium having stored thereon computer-executable instructions that, when executed on a processor, perform the method of any one of claims 1-10.