CN112231393B - Multi-dimensional data visualization method and device and electronic equipment - Google Patents
Multi-dimensional data visualization method and device and electronic equipment Download PDFInfo
- Publication number
- CN112231393B CN112231393B CN202011431908.XA CN202011431908A CN112231393B CN 112231393 B CN112231393 B CN 112231393B CN 202011431908 A CN202011431908 A CN 202011431908A CN 112231393 B CN112231393 B CN 112231393B
- Authority
- CN
- China
- Prior art keywords
- dimension
- data
- longitudinal axis
- global
- group
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/26—Visual data mining; Browsing structured data
Abstract
The invention provides a method and a device for visualizing multi-dimensional data and electronic equipment. Wherein, the method comprises the following steps: acquiring a plurality of groups of dimensional data to be displayed and a key value of each group of dimensional data; setting the key values of each group of dimension data on the global longitudinal axis of the canvas respectively; responding to the activation operation of the global longitudinal axis, and performing visual display on a plurality of groups of dimensional data in a coordinate axis corresponding to the global longitudinal axis; the key value of each group of dimension data in the coordinate axis corresponds to a dimension longitudinal axis, and the dimension data are located in the preset range of the corresponding dimension longitudinal axis, so that the problem that the visual correlation is weak due to the fact that the distance between the plurality of groups of dimension data and the corresponding dimension longitudinal axis is long is solved, a user can conveniently and clearly check each group of dimension data, and user experience is improved.
Description
Technical Field
The invention relates to the technical field of visualization, in particular to a method and a device for visualizing multi-dimensional data and electronic equipment.
Background
In a data visualization analysis scenario, for example, trend contrastive analysis is performed on different attribute values of the same device or different devices, contrastive analysis is often performed on curves/columnar graphs of multiple groups of data dimensions on the same canvas, and since different groups of data may have different quantity scales and units, a user needs to view ordinate axes of different dimensions to contrast the magnitude of the magnitude corresponding to the data points on the perception curves/columnar graphs.
In practical application, for the situation that only two sets of data exist, the left ordinate and the right ordinate can be set on the same canvas, but for three or more sets of data, if a plurality of ordinate axes are set on one side of the canvas, part of the ordinate axes are far away from the curve/columnar graph, the visual correlation is weakened, so that visual interference is caused, the user cannot focus, and inconvenience is brought to the user.
Disclosure of Invention
In view of this, the present invention provides a method and an apparatus for visualizing multidimensional data, and an electronic device, so as to alleviate the above problems, facilitate a user to clearly view each set of dimensional data, and improve user experience.
In a first aspect, an embodiment of the present invention provides a method for visualizing multidimensional data, which is applied to a server configured with a canvas, and includes: acquiring a plurality of groups of dimensional data to be displayed and a key value of each group of dimensional data; wherein the key value comprises at least one of: maximum, minimum, mean and median; setting the key values of each group of dimension data on the global longitudinal axis of the canvas respectively; responding to the activation operation of the global longitudinal axis, and performing visual display on a plurality of groups of dimensional data in a coordinate axis corresponding to the global longitudinal axis; the key value of each group of dimension data in the coordinate axis corresponds to a dimension longitudinal axis, and the dimension data is in a preset range of the corresponding dimension longitudinal axis.
With reference to the first aspect, an embodiment of the present invention provides a first possible implementation manner of the first aspect, where the step of visually displaying the multiple sets of dimensional data in the coordinate axes corresponding to the global vertical axis includes: performing visual display on each group of dimensional data in a coordinate axis corresponding to the global longitudinal axis according to a preset graph; wherein the preset pattern comprises one of the following: broken lines, curves and bar charts.
With reference to the first aspect, an embodiment of the present invention provides a second possible implementation manner of the first aspect, where the method further includes: responding to the activation operation of the first dimension longitudinal axis, highlighting the dimension data corresponding to the first dimension longitudinal axis in the visually displayed dimension data, and performing fuzzy display or hiding processing on the rest dimension data; the first dimension longitudinal axis is a dimension longitudinal axis corresponding to key values of one group of dimension data in the multiple groups of dimension data to be displayed.
With reference to the first aspect, an embodiment of the present invention provides a third possible implementation manner of the first aspect, where the step of setting the key values of each set of dimension data on the global vertical axis of the canvas respectively includes: and respectively setting the key values of each group of dimensional data on the global longitudinal axis of the canvas according to preset colors.
With reference to the first aspect, an embodiment of the present invention provides a fourth possible implementation manner of the first aspect, where the activation operation is a click operation that acts on a global vertical axis, or a click operation that acts on a preset region corresponding to the global vertical axis.
In a second aspect, an embodiment of the present invention further provides a device for visualizing multidimensional data, which is applied to a server configured with a canvas, and the device includes: the acquisition module is used for acquiring a plurality of groups of dimensional data to be displayed and key values of each group of dimensional data; wherein the key value comprises at least one of: maximum, minimum, mean and median; the setting module is used for respectively setting the key values of each group of dimensional data on the global longitudinal axis of the canvas; the display module is used for responding to the activation operation of the global longitudinal axis and performing visual display on the multiple groups of dimensional data in the coordinate axes corresponding to the global longitudinal axis; the key value of each group of dimension data in the coordinate axis corresponds to a dimension longitudinal axis, and the dimension data is in a preset range of the corresponding dimension longitudinal axis.
With reference to the second aspect, an embodiment of the present invention provides a first possible implementation manner of the second aspect, where the display module is further configured to: performing visual display on each group of dimensional data in a coordinate axis corresponding to the global longitudinal axis according to a preset graph; wherein the preset pattern comprises one of the following: broken lines, curves and bar charts.
With reference to the second aspect, an embodiment of the present invention provides a second possible implementation manner of the second aspect, where the apparatus further includes: responding to the activation operation of the first dimension longitudinal axis, highlighting the dimension data corresponding to the first dimension longitudinal axis in the visually displayed dimension data, and performing fuzzy display or hiding processing on the rest dimension data; the first dimension longitudinal axis is a dimension longitudinal axis corresponding to key values of one group of dimension data in the multiple groups of dimension data to be displayed.
In a third aspect, an embodiment of the present invention further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor, when executing the computer program, implements the steps of the method for visualizing the multidimensional data in the first aspect.
In a fourth aspect, the embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, performs the steps of the method for visualizing multidimensional data in the first aspect.
The embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides a method and a device for visualizing multi-dimensional data and electronic equipment, wherein key values of a plurality of groups of dimensional data are set on a global longitudinal axis, and after the global longitudinal axis is activated, each group of dimensional data is respectively visually displayed in a preset range of the dimensional longitudinal axis corresponding to the key values of the groups of dimensional data, so that the problem of weak visual correlation caused by long distance between the plurality of groups of dimensional data and the corresponding dimensional longitudinal axis is solved, a user can conveniently and clearly view each group of dimensional data, and the user experience is improved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic structural diagram of an interactive system according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for visualizing multidimensional data according to an embodiment of the present invention;
fig. 3 is a schematic diagram of data visualization provided by an embodiment of the present invention;
FIG. 4 is a schematic diagram of another data visualization provided by the embodiment of the invention;
fig. 5 is a schematic diagram of a preset region of a global longitudinal axis according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of another data visualization provided by an embodiment of the invention;
fig. 7 is a schematic diagram of a device for visualizing multidimensional data according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention provides a method and a device for visualizing multi-dimensional data and electronic equipment, and solves the problem that the existing data visualization method has the disadvantages that the distance between a vertical axis and a curve/column graph is far away, the visual correlation is weakened, the visual interference is caused, and the user cannot focus.
To facilitate understanding of the embodiment, first, a detailed description is given below of a method for visualizing multidimensional data according to an embodiment of the present invention.
In practical applications, data visualization is often achieved through an interactive system. The framework of the interactive system is shown in fig. 1, the interactive system includes a drawing board container 11, a data obtaining device 12 and a canvas 13, which are connected in sequence, wherein the canvas 13 is further provided with a longitudinal axis scale control 131, a highlight data filter 132 and a data legend display device 133.
The palette container 11 is used for storing all data sets to be displayed, including but not limited to dimension data corresponding to the line graphs and the bar charts; the data acquisition device 12 is used for transmitting data to be displayed in the drawing board container 11 to the canvas 13; the vertical axis scale control 131 is configured to control each group of dimension data, and provide different vertical axis scales for different groups of dimension data, in addition, in the vertical axis scale control 131, all categories of data to be displayed may be displayed, for example, the data to be displayed may be classified by one or more combinations of names and colors, and the different categories of dimension data may be subjected to single-selection operation and/or check operation by a check box control and/or a radio box control in the vertical axis scale control 131, and the dimension data corresponding to the selection operation is screened by the highlight data screener 132, and the screened dimension data is highlighted in the data legend display device 133, and unselected dimension data is subjected to fuzzy display or hiding.
It should be noted that, the longitudinal axis scale control may also adjust the size and scale of each set of dimension data according to the requirement of the user, so that the adjusted dimension data meets the size requirement of the user, thereby satisfying various requirements of the user and improving the experience of the user.
Based on the server, an embodiment of the present invention provides a method for visualizing multidimensional data, as shown in fig. 2, the method includes the following steps:
step S202, acquiring a plurality of groups of dimensional data to be displayed and key values of each group of dimensional data; wherein the key value comprises at least one of: maximum, minimum, mean and median;
specifically, the server obtains multiple sets of dimension data stored in the drawing board container and key values of each set of dimension data through the data obtaining device. Because each set of dimension data may have different quantity scales and units, the traditional quantity scale is replaced by the key value, and the problem that the quantity scale of part of dimension data is large in difference, and further the visualization effect is influenced is solved. If the maximum value and the minimum value of a certain group of dimension data are set as key values of the group of dimension data, the group of dimension data are both between the maximum value and the minimum value, and the group of dimension data can be watched according to the maximum value and the minimum value, so that the problem that a user cannot focus is solved. It should be noted that the key values may be set as a maximum value, a minimum value, a mean value, and a median, and may also be customized according to actual situations.
Step S204, respectively setting the key values of each group of dimension data on the global longitudinal axis of the canvas;
in practical application, since the conventional uniform scale lines on the vertical axis have little reference meaning to users, the key values of each set of dimension data are respectively set on the global vertical axis of the canvas, so that the user can view the corresponding dimension data according to the key values. Optionally, the key values of each set of the dimensional data may be respectively set on the global longitudinal axis of the canvas according to preset colors, for example, the key values of a certain set of the dimensional data, such as the maximum value and the minimum value, are respectively set on the global longitudinal axis according to red, and the key values of another set of the dimensional data, such as the average value, are set on the global longitudinal axis according to blue, so that the user can distinguish the key values of different sets of the dimensional data according to the preset colors.
It should be noted that, the preset color may be set according to actual situations, and the embodiment of the present invention does not limit this. In addition, the key values of each set of dimension data may also be respectively set on the global longitudinal axis of the canvas according to preset identifiers, where the identifiers may be text identifiers such as A, B and C, and/or graphic identifiers such as small triangles, circles, polygons, and the like, and may be specifically set according to the requirements of the user.
Step S206, responding to the activation operation of the global vertical axis, and performing visual display on a plurality of groups of dimensional data in a coordinate axis corresponding to the global vertical axis; the key value of each group of dimension data in the coordinate axis corresponds to a dimension longitudinal axis, and the dimension data is in a preset range of the corresponding dimension longitudinal axis.
Specifically, the activation operation is a click operation applied to the global vertical axis, or a click operation applied to a preset region corresponding to the global vertical axis, where the click operation may be a single click operation or a double click operation, and the global vertical axis may also be activated through a floating operation.
At this time, the server responds to the activation operation, and visually displays a plurality of groups of dimension data in a coordinate axis corresponding to the global longitudinal axis according to a preset graph, wherein the preset graph comprises one of the following figures: for example, each set of dimension data is visually displayed in a coordinate axis corresponding to the global longitudinal axis according to a broken line, or displayed according to a bar graph or the like, the preset graph may be set as other graphs besides the broken line, the curved line and the bar graph, and may be specifically set according to an actual situation, which is not limited herein in the embodiment of the present invention.
In addition, when the dimension data is displayed visually, the key values of each group of dimension data in the coordinate axes correspond to a dimension longitudinal axis, for example, the maximum value and the minimum value of a certain group of dimension data are in the same dimension longitudinal axis, so that a user can view a preset graph displayed by the corresponding dimension data according to the longitudinal axis, wherein the dimension longitudinal axis corresponding to the key values of each group of dimension data can be overlapped with the global longitudinal axis or can have a preset distance, and can be specifically set according to the actual situation, and the dimension data are in the preset range of the corresponding dimension longitudinal axis, so that the user can quickly find the dimension data to be viewed, and the problem that the visual correlation is weak due to the fact that the distances between the multiple groups of dimension data and the corresponding dimension longitudinal axis are far is solved.
In addition, among the above-mentioned coordinate axis, before the activation operation, only show global axis of ordinates, after the activation, partial dimension axis of ordinates probably coincides with global axis of ordinates, partial dimension axis of ordinates probably sets up respectively in one side of global axis of ordinates with preset distance, compared with a large amount of horizontal spaces that a plurality of axis of ordinates occupy in the current method, this application has alleviated a large amount of axis of ordinates and has invaded the main area of canvas, lead to compressing the space of the preset figure of dimension data, and then the visual effect of dimension data has been influenced, thereby on the basis of having guaranteed the visual effect of dimension data, be convenient for the user to clearly look over every group dimension data, user experience degree has been improved.
According to the multi-dimensional data visualization method provided by the embodiment of the invention, the key values of the multiple groups of dimensional data are set on the global longitudinal axis, and after the global longitudinal axis is activated, each group of dimensional data is respectively visually displayed in the preset range of the dimensional longitudinal axis corresponding to the key values of the multiple groups of dimensional data, so that the problem of weak visual correlation caused by the fact that the distance between the multiple groups of dimensional data and the corresponding dimensional longitudinal axis is long is solved, a user can conveniently and clearly check each group of dimensional data, and the user experience is improved.
In one possible embodiment, the method further comprises: responding to the activation operation of the first dimension longitudinal axis, highlighting the dimension data corresponding to the first dimension longitudinal axis in the visually displayed dimension data, and performing fuzzy display or hiding processing on the rest dimension data; the first dimension longitudinal axis is a dimension longitudinal axis corresponding to key values of one group of dimension data in the multiple groups of dimension data to be displayed. Specifically, for the visually displayed dimension data, when a user views a certain group of dimension data or views a certain preset graph, the user can highlight the group of dimension data through the activation operation of the first dimension longitudinal axis where the key value of the group of dimension data is located, and perform fuzzy processing or hiding processing on the displayed other dimension data, so that the user can clearly view the group of dimension data, and the problem that the focusing of multiple groups of dimension data is difficult in the existing method is solved.
In addition, when the user views two sets of dimension data or the remaining number of dimension data, the dimension data to be viewed may be highlighted, and the remaining dimension data may be hidden or displayed in a blurred manner.
For convenience of understanding, three sets of dimension data are illustrated here, where the number scale and unit of each set of dimension data are different, and the following process is specifically included:
(1) considering that the reference significance of a scale line with uniform traditional coordinate axes to a user is not large, for three groups of acquired dimensional data, the key values of each group of dimensional data are determined, wherein the first key value of the first group of dimensional data comprises a maximum value Max:43A, a minimum value Min:30A, a mean value Avg:35A and a median Med:38A, the second key value of the second group of dimensional data comprises a maximum value Max:100 ℃, a minimum value Min:20 ℃, a mean value Avg:55 ℃ and a median Med:60 ℃, and the third key value of the third group of dimensional data comprises a maximum value Max:800r/s, a minimum value Min:120r/s, a mean value Avg:530r/s and a median Med:480 r/s.
(2) The first key value, the second key value and the third key value are respectively arranged on a global longitudinal axis, as shown in fig. 3, the first key value, the second key value and the third key value can be distinguished through graphic identifiers, if the first key value adopts a polygon, the second key value adopts a solid circle, the third key value adopts a hollow dotted circle, and the like, in addition, the first key value can be distinguished through preset colors, if the first key value adopts a green color, the second key value adopts a red color, the third key value adopts a blue color, and the like, so that after the global longitudinal axis is activated, the dimension longitudinal axis where each key value is located is convenient to distinguish, a user can conveniently distinguish different dimension data according to the color of the key value or the graphic identifiers, and the problem of difficult focusing is avoided.
(3) And activating the global vertical axis to enable the dimension vertical axis corresponding to the first key value, the dimension vertical axis corresponding to the second key value and the dimension vertical axis corresponding to the third key value to be respectively dispersed, and taking each key value as the scale of the corresponding dimension vertical axis. Specifically, the user activates the global longitudinal axis by a click operation, or, as shown in fig. 4, activates the global longitudinal axis by a click operation on a preset region of the global longitudinal axis, where the preset region is a position corresponding to a dotted line frame in fig. 4, and the rest of the preset regions can be set according to actual application conditions, and then, as shown in fig. 5, obtains a dimension longitudinal axis corresponding to each key value, because key values of different dimension data are different, the corresponding dimension longitudinal axes may have different sizes, so that the user can further view the corresponding dimension data, and before activation, the key values are all set on the global longitudinal axis, and after activation, the key values are dispersed to the corresponding dimension longitudinal axis, thereby avoiding that a plurality of dimension longitudinal axes occupy too much lateral space, saving canvas space, and further facilitating the user to clearly view data span and key values of each group of dimension data, here, the data span is a numerical span from the maximum value to the minimum value in a preset pattern corresponding to the dimension data.
(4) When a user activates one of the dimension vertical axes, the preset graph of the dimension data corresponding to the dimension vertical axis is highlighted, and the rest dimension data is hidden or displayed in a fuzzy mode, so that the user can view the selected dimension data. As shown in fig. 6, after the user activates the dimension longitudinal axis corresponding to the second key value, the black broken line corresponding to the second group of dimension data is highlighted, and the broken lines corresponding to the first group of dimension data and the third group of dimension data, that is, the broken line in fig. 6, are displayed in a blurred manner, so that the user can conveniently focus and view the second group of dimension data.
In conclusion, the multi-dimensional data visualization method provided by the application enables a user to analyze and compare curves/column graphs of multiple sets of dimensional data in one canvas, and each set of dimensional data also senses a quantity scale through a corresponding dimensional longitudinal axis, so that the problem that the visual correlation is weak due to the fact that the distance between the multiple sets of dimensional data and the corresponding dimensional longitudinal axis is long is solved, the user can conveniently and clearly view each set of dimensional data, and the user experience is improved.
On the basis of the above embodiment, the embodiment of the present invention further provides a visualization apparatus for multidimensional data, where an execution subject is a server configured with a canvas. As shown in fig. 7, the apparatus includes an obtaining module 71, a setting module 72 and a display module 73, which are connected in sequence, wherein the functions of the modules are as follows:
an obtaining module 71, configured to obtain multiple sets of dimensional data to be displayed and a key value of each set of dimensional data; wherein the key value comprises at least one of: maximum, minimum, mean and median;
the setting module 72 is configured to set the key values of each group of dimension data on the global longitudinal axis of the canvas respectively;
the display module 73 is configured to perform visual display on multiple sets of dimension data in coordinate axes corresponding to the global vertical axis in response to an activation operation of the global vertical axis; the key value of each group of dimension data in the coordinate axis corresponds to a dimension longitudinal axis, and the dimension data is in a preset range of the corresponding dimension longitudinal axis.
According to the multi-dimensional data visualization device provided by the embodiment of the invention, the key values of the multiple groups of dimensional data are set on the global longitudinal axis, and after the global longitudinal axis is activated, each group of dimensional data is visually displayed in the preset range of the dimensional longitudinal axis corresponding to the key values of the multiple groups of dimensional data, so that the problem of weak visual correlation caused by the fact that the distance between the multiple groups of dimensional data and the corresponding dimensional longitudinal axis is long is solved, a user can conveniently and clearly check each group of dimensional data, and the user experience is improved.
In one possible embodiment, the display module 73 is further configured to: performing visual display on each group of dimensional data in a coordinate axis corresponding to the global longitudinal axis according to a preset graph; wherein the preset pattern comprises one of the following: broken lines, curves and bar charts.
In another possible embodiment, the above apparatus further includes: responding to the activation operation of the first dimension longitudinal axis, highlighting the dimension data corresponding to the first dimension longitudinal axis in the visually displayed dimension data, and performing fuzzy display or hiding processing on the rest dimension data; the first dimension longitudinal axis is a dimension longitudinal axis corresponding to key values of one group of dimension data in the multiple groups of dimension data to be displayed.
In another possible embodiment, the setting module 72 is further configured to: and respectively setting the key values of each group of dimensional data on the global longitudinal axis of the canvas according to preset colors.
In another possible embodiment, the activation operation is a click operation applied to the global vertical axis, or a click operation applied to a preset area corresponding to the global vertical axis.
The multi-dimensional data visualization device provided by the embodiment of the invention has the same technical characteristics as the multi-dimensional data visualization method provided by the embodiment, so that the same technical problems can be solved, and the same technical effect can be achieved.
The embodiment of the invention also provides an electronic device, which comprises a processor and a memory, wherein the memory stores machine executable instructions capable of being executed by the processor, and the processor executes the machine executable instructions to realize the multi-dimensional data visualization method.
Referring to fig. 8, the electronic device includes a processor 80 and a memory 81, the memory 81 stores machine executable instructions capable of being executed by the processor 80, and the processor 80 executes the machine executable instructions to implement the above-mentioned method for visualizing the multidimensional data.
Further, the electronic device shown in fig. 8 further includes a bus 82 and a communication interface 83, and the processor 80, the communication interface 83, and the memory 81 are connected through the bus 82.
The Memory 81 may include a high-speed Random Access Memory (RAM) and may also include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the system and at least one other network element is realized through at least one communication interface 83 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, etc. may be used. The bus 82 may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (Enhanced Industry Standard Architecture) bus, or the like. The above-mentioned bus may be classified into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one double-headed arrow is shown in FIG. 8, but that does not indicate only one bus or one type of bus.
The processor 80 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 80. The Processor 80 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory 81, and the processor 80 reads information in the memory 81 and performs the steps of the method of the previous embodiment in combination with hardware thereof.
The present embodiments also provide a machine-readable storage medium having stored thereon machine-executable instructions that, when invoked and executed by a processor, cause the processor to implement the above-described method of visualizing multidimensional data.
The method and the apparatus for visualizing multi-dimensional data and the computer program product of the electronic device provided by the embodiments of the present invention include a computer-readable storage medium storing a program code, where instructions included in the program code may be used to execute the method described in the foregoing method embodiments, and specific implementation may refer to the method embodiments, and will not be described herein again.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the system and the apparatus described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In addition, in the description of the embodiments of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A visualization method of multidimensional data is applied to a server configured with a canvas, and the method comprises the following steps:
acquiring a plurality of groups of dimensional data to be displayed and a key value of each group of dimensional data; wherein the key value comprises at least one of: maximum, minimum, mean and median;
respectively setting the key values of each group of the dimension data on a global longitudinal axis of the canvas;
responding to the activation operation of the global vertical axis, and performing visual display on multiple groups of dimension data in coordinate axes corresponding to the global vertical axis; the key value of each group of the dimension data in the coordinate axes corresponds to a dimension longitudinal axis, and the dimension data is in a preset range of the corresponding dimension longitudinal axis; and, prior to the activation operation, only the global vertical axis is displayed; after the activation operation, displaying the global vertical axis and a dimension vertical axis corresponding to the key value of each group of the dimension data, wherein part of the dimension vertical axis is overlapped with the global vertical axis, or is respectively arranged on one side of the global vertical axis by a preset distance.
2. The method for visualizing the multidimensional data as recited in claim 1, wherein the step of visually displaying the plurality of sets of the multidimensional data in the coordinate axes corresponding to the global vertical axis comprises:
performing visual display on each group of the dimensional data in a coordinate axis corresponding to the global longitudinal axis according to a preset graph; wherein the preset pattern comprises one of: broken lines, curves and bar charts.
3. A method for visualization of multidimensional data as recited in claim 1, the method further comprising:
responding to the activation operation of a first dimension longitudinal axis, highlighting dimension data corresponding to the first dimension longitudinal axis in the visually displayed dimension data, and performing fuzzy display or hiding processing on the rest dimension data; the first dimension longitudinal axis is a dimension longitudinal axis corresponding to key values of one group of dimension data in a plurality of groups of dimension data to be displayed.
4. A visualization method of multi-dimensional data according to claim 1, wherein the step of setting the key values of each set of the dimensional data on the global vertical axis of the canvas respectively comprises:
and respectively setting the key values of each group of the dimension data on the global longitudinal axis of the canvas according to preset colors.
5. A visualization method of multidimensional data according to claim 1, wherein the activation operation is a click operation acting on the global vertical axis or a click operation acting on a preset region corresponding to the global vertical axis.
6. An apparatus for visualizing multidimensional data, applied to a server configured with a canvas, the apparatus comprising:
the acquisition module is used for acquiring a plurality of groups of dimensional data to be displayed and key values of each group of dimensional data; wherein the key value comprises at least one of: maximum, minimum, mean and median;
the setting module is used for respectively setting the key values of each group of the dimension data on the global longitudinal axis of the canvas;
the display module is used for responding to the activation operation of the global longitudinal axis and performing visual display on the multiple groups of dimension data in the coordinate axes corresponding to the global longitudinal axis; the key value of each group of the dimension data in the coordinate axes corresponds to a dimension longitudinal axis, and the dimension data is in a preset range of the corresponding dimension longitudinal axis; and, prior to the activation operation, only the global vertical axis is displayed; after the activation operation, displaying the global vertical axis and a dimension vertical axis corresponding to the key value of each group of the dimension data, wherein part of the dimension vertical axis is overlapped with the global vertical axis, or is respectively arranged on one side of the global vertical axis by a preset distance.
7. The apparatus for visualizing multi-dimensional data as in claim 6, wherein said display module is further configured to:
performing visual display on each group of the dimensional data in a coordinate axis corresponding to the global longitudinal axis according to a preset graph; wherein the preset pattern comprises one of: broken lines, curves and bar charts.
8. An apparatus for visualization of multidimensional data as recited in claim 6, the apparatus further comprising:
responding to the activation operation of a first dimension longitudinal axis, highlighting dimension data corresponding to the first dimension longitudinal axis in the visually displayed dimension data, and performing fuzzy display or hiding processing on the rest dimension data; the first dimension longitudinal axis is a dimension longitudinal axis corresponding to key values of one group of dimension data in a plurality of groups of dimension data to be displayed.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method for visualizing multidimensional data according to any of the preceding claims 1 to 5 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, performs the steps of the method for visualizing multidimensional data according to any one of the preceding claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011431908.XA CN112231393B (en) | 2020-12-10 | 2020-12-10 | Multi-dimensional data visualization method and device and electronic equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011431908.XA CN112231393B (en) | 2020-12-10 | 2020-12-10 | Multi-dimensional data visualization method and device and electronic equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112231393A CN112231393A (en) | 2021-01-15 |
| CN112231393B true CN112231393B (en) | 2021-03-16 |
Family
ID=74123994
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011431908.XA Active CN112231393B (en) | 2020-12-10 | 2020-12-10 | Multi-dimensional data visualization method and device and electronic equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112231393B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113688228B (en) * | 2021-08-27 | 2024-03-22 | 贝壳找房(北京)科技有限公司 | Data screening method, device and system |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102496081A (en) * | 2011-11-15 | 2012-06-13 | 北京航空航天大学 | Three-dimensional visualized and interaction method of project structured message |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7089266B2 (en) * | 2003-06-02 | 2006-08-08 | The Board Of Trustees Of The Leland Stanford Jr. University | Computer systems and methods for the query and visualization of multidimensional databases |
| CN104978407B (en) * | 2015-06-18 | 2018-03-06 | 上海交通大学 | System and method is presented in visualization for high dimensional data characteristic attribute variation tendency |
| CN109656662B (en) * | 2018-12-14 | 2021-09-03 | 浙江财经大学 | Visual arrangement method of parallel coordinate axes based on clustering correlation |
| CN109977278A (en) * | 2019-02-21 | 2019-07-05 | 中国电子科技集团公司第二十八研究所 | Visual presentation system, method, equipment and the storage medium of public sentiment data |
| CN111581208A (en) * | 2020-04-21 | 2020-08-25 | 北京龙云科技有限公司 | Data visualization display method and device |
-
2020
- 2020-12-10 CN CN202011431908.XA patent/CN112231393B/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102496081A (en) * | 2011-11-15 | 2012-06-13 | 北京航空航天大学 | Three-dimensional visualized and interaction method of project structured message |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112231393A (en) | 2021-01-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109829437B (en) | Image processing method, text recognition device and electronic system | |
| JP3734491B1 (en) | How to display in-cell graph of spreadsheet | |
| CN113190781B (en) | Page layout method, device, equipment and storage medium | |
| CN108579094B (en) | User interface detection method, related device, system and storage medium | |
| CN112231393B (en) | Multi-dimensional data visualization method and device and electronic equipment | |
| DE102006036304A1 (en) | Method for analyzing and / or testing at least one user interface, data processing device and computer program product | |
| JP5914732B2 (en) | Image verification method, image verification apparatus, and program | |
| US20230154050A1 (en) | Spatial image analysis-based color scheme recommendation apparatus and method | |
| CN105809117A (en) | Information prompt method and user terminal | |
| CN112614074B (en) | Robust vanishing point detection method and device based on response graph and clustering | |
| CN115080140A (en) | Display control method and device and electronic equipment | |
| CN109460496B (en) | Method and device for realizing data display | |
| CN111381748A (en) | Image display method, device, equipment and storage medium | |
| CN112269828A (en) | Data generation method and device and electronic equipment | |
| CN110503114B (en) | Image feature extraction method, image feature extraction device, tumor recognition system and storage medium | |
| CN110390919B (en) | Display device and color processing method and device | |
| CN108717347B (en) | Business information interaction identification method and device and electronic equipment | |
| CN116152816A (en) | Method and device for identifying closed area, electronic equipment and storage medium | |
| CN114399617B (en) | Method, device, equipment and medium for identifying shielding pattern | |
| CN111870950B (en) | Game control display control method and device and electronic equipment | |
| CN111317426A (en) | Endoscope parameter self-adaptive adjusting method and device | |
| CN109345577B (en) | Seal calibration method and device, seal control instrument and storage medium | |
| CN105574868B (en) | Data processing method in image transmitting process and device | |
| CN103548057B (en) | Character area pixel decision maker or its method | |
| JP2020166448A (en) | Information processing apparatus, information processing system, and program |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20210430 Address after: No.1, 3rd floor, R & D building, Sany industrial city, No.1, Sany Road, Changsha Economic and Technological Development Zone, Changsha, Hunan 410000 Patentee after: CHANGSHA ROOTCLOUD TECHNOLOGY Co.,Ltd. Patentee after: Shugen Internet Co.,Ltd. Address before: No.1, 3rd floor, R & D building, Sany industrial city, No.1, Sany Road, Changsha Economic and Technological Development Zone, Changsha, Hunan 410000 Patentee before: CHANGSHA ROOTCLOUD TECHNOLOGY Co.,Ltd. |