KR101798139B1 - Filter system and method according to type of data variable in web-based data visualization system - Google Patents

Abstract

One embodiment of the present invention is a filter system according to a data variable type in a web-based data visualization system, the filter system comprising: a data introducer for fetching a set of data records into the filter system environment based on an input of a client; A variable type extracting unit for extracting a variable type of the data records; A variable type selection unit for selecting, among the variable types, a variable type of data records to be visualized based on an input of a client; And a data record filtering unit for filtering the data records according to the selected variable type.

Description

FIELD SYSTEM AND METHOD ACCORDING TO DATA VARIABLE IN WEB BASED DATA VISUALIZATION SYSTEM FIELD [0001]

The present invention relates to a system and method for filtering data variable types in a web-based data visualization system, and more particularly, to a system and method for filtering in a simple and intuitive environment, To a filter system and method according to data variable types in a web-based data visualization system.

As the Internet is becoming more popular in countries around the world and the importance of the data delivered to them is becoming increasingly important, a variety of technologies are being developed rapidly to better utilize data.

In particular, recently, data visualization technology that processes data in tabular form such as spreadsheet in a chart format so that the user can check at a glance is attracting attention.

This data visualization technique largely consists of a technique of acquiring data to be visualized and a technique of visualizing the acquired data in a client environment.

Conventionally, before visualization of a large amount of data, the user has to select only the data to be visualized.

This simple repetition operation greatly required user's effort and time, and the efficiency of data visualization was greatly reduced.

Therefore, in order to overcome the limitations of such data visualization, it is necessary to extract only data records for visualization from original data prior to visualization, and to provide a tool with improved user convenience so that anyone can use it intuitively.

Korean Registered Patent No. 10-1631032 (June 06, 2016)

It is an object of the present invention to provide a filtering system and method according to a data variable type in a web-based data visualization system improved in user's convenience so that anyone can intuitively use the filter system .

According to an aspect of the present invention, there is provided a filter system according to a data variable type in a web-based data visualization system, the filter system comprising: a data introduction unit for fetching a set of data records into the filter system environment, ; A variable type extracting unit for extracting a variable type of the data records; A variable type selection unit for selecting, among the variable types, a variable type of data records to be visualized based on an input of a client; And a data record filtering unit for filtering the data records according to the selected variable type.

In one embodiment, the data introducing unit forms and retrieves a set of data records through a search of a client for data records stored in a database interlocked with the filter system. Filter system.

In one embodiment, the data entry unit may be a filter system according to a data variable type, characterized in that, for data records stored in the client environment, a collection of the data records is formed based on the client's selection .

In one embodiment, the variable type extracting unit may extract a column item of the data records as a variable type.

In one embodiment, the variable type selection unit may select, in a tab that displays only a variable type extracted from the data records, which is distinguished from a tap for displaying the data records, And a filter system according to a data variable type.

In one embodiment, the variable type selection unit is formed such that the variable type is selected for each column of the data records based on an input of a client in a tab for displaying the data records. The data record filtering unit may include: an sorting unit for sorting the data records according to the variable type selected by the variable type selecting unit; A condition determining-applying unit that determines filtering conditions of the data records and selects only specific data records by applying the determined conditions; And a statistical analysis unit for calculating a statistical analysis value of the data records.

In one embodiment, the data record filtering unit may include a text sorting unit for sorting data records having the text type as a variable type in ascending or descending order if the variable type is selected as a text type; A text inclusion-exclusion determination unit that selects, among data records having the text type as a variable type, only data records that include or exclude specific text; And data records having the text type as a variable type are selected by inclusion or exclusion of the specific text by the text inclusion determination unit or by inclusion or exclusion of the specific text, And a text-inclusion-exclusion-range setting unit for determining a data-variable-type-data-variable-data-type-variable-data-type-data-variable-data-filtering-unit.

In one embodiment, if the variable type is a numeric type and the variable type is a categorical variable type, the data record filtering unit may include only specific data records among data records having the numeric type as a variable type Or a number that is selected so as to be excluded; And whether the data records having the numeric type as a variable type are selected to be included or excluded when the numeric inclusion-exclusion determination unit is equal to or greater than a specific numeric value, Is included or excluded when inclusive, excluded when inclusive, excluded when inclusive or excluded, inclusive or excluded when inclusive or exclusive of a particular number, inclusive or excluded when inclusive or exclusive of a particular number, inclusive inclusive when the number is between 2 And a number-of-excluded range setting unit for determining whether or not the specific number is selected to be included or excluded when the specific number is 2 or more and is one of the specific numbers. Lt; / RTI >

In one embodiment, the data record filtering unit may be configured to sort the data records having the numeric type as a variable type in ascending or descending order if the variable type is selected as a numeric type and the variable type is a numeric variable type An alignment selector; An exclusion determination unit that selects, among data records having the numeric type as a variable type, to include or exclude only specific data records; If the data records having the numeric type as a variable type are selected by the numeric inclusion-exclusion determination unit to be included or excluded when being equal to a specific number, included or excluded when being larger than a specific numerical value, The inclusion or exclusion is to be included or excluded, the inclusion or exclusion is selected to exclude or exclude a specific number, the inclusion or exclusion is selected to exclude or exclude a particular number, the inclusion or exclusion when the number is between 2, A number excluding-rejection range setting unit for determining whether or not a specific number is 2 or more and is selected to be included or excluded when the number is one of the specific numbers; And a numerical value calculation unit for calculating a statistical analysis value of data records having the numeric type as a variable type.

In one embodiment, the data record filtering unit may include: a date sort selection unit for sorting data records having the date type as a variable type in ascending or descending order if the variable type is selected as a date type; A date including a date for selecting only data records that include or exclude a specific date from data records having the date type as a variable type; The data record having the date type as a variable type includes a date for selecting only data records that include or exclude dates belonging to the range specified by the client by the date inclusion exclusion determination unit; And a date calculator for calculating a statistical analysis value of data records having the date type as a variable type.

According to another aspect of the present invention, there is provided a computer-readable memory device for storing a command for executing a filter system according to a data variable type in a web-based data visualization system, A data introducing step of loading a set of data records into the filter system environment based on the input; A variable type extracting step of extracting a variable type of the data records; Selecting a variable type of data records for visualization based on an input of a client, among the variable types; And a data record filtering step of filtering the data records according to the selected variable type.

According to an aspect of the present invention, in a web-based data visualization system, a desired group of data records can be extracted easily and intuitively based on data that has not been refined.

And, by automatically recognizing the variable type of the data records, it is possible to quickly arrange the data records having various types of variable types.

In addition, by applying the specific filtering method differently according to the variable type of data records, it is possible to provide an optimized filter system and method according to the types of data records.

It should be understood that the effects of the present invention are not limited to the above effects and include all effects that can be deduced from the detailed description of the present invention or the configuration of the invention described in the claims.

1 is a conceptual diagram of a filter system according to a data variable type according to an embodiment of the present invention.
2 is a schematic diagram of an interface configuration of a filter system according to a data variable type when a variable type according to an embodiment of the present invention is a text type.
3 is a schematic diagram of an interface configuration of a filter system according to a data variable type when a variable type according to an embodiment of the present invention is a numeric type and a categorical variable type.
4 is a schematic diagram of an interface configuration of a filter system according to a data variable type when a variable type according to an embodiment of the present invention is a numeric type and a numeric variable type.
5 is a schematic diagram of an interface configuration of a filter system according to a data variable type when a variable type according to an embodiment of the present invention is a date type.
6 is a block diagram of an exemplary computing operating environment in which one embodiment of the invention may be implemented.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, the present invention will be described with reference to the accompanying drawings. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly illustrate the present invention, parts not related to the description are omitted, and similar parts are denoted by like reference characters throughout the specification.

Throughout the specification, when a part is referred to as being "connected" to another part, it includes not only "directly connected" but also "indirectly connected" . Also, when an element is referred to as "comprising ", it means that it can include other elements, not excluding other elements unless specifically stated otherwise.

Embodiments will be described as program modules in a general situation that are executed in conjunction with an application running on an operating system of a computing device, but those skilled in the art will recognize that aspects may also be implemented in conjunction with other program modules.

Generally, program modules include routines, programs, components, data structures, and other types of structures that perform particular tasks or implement particular abstract data types. Those skilled in the art will also appreciate that embodiments may be practiced with other computer system configurations including handheld devices, multiprocessor systems, microprocessor based or programmable consumer electronics, minicomputers, mainframe computers, and the like, . Embodiments may also be implemented in a distributed computing environment where tasks are performed by a remote processing device that is linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote memory storage devices.

Embodiments may be embodied in a computer-implemented process (method), a computing system, or an article of manufacture such as a computer program product or a computer-readable medium. The computer program product may be a computer storage medium readable by a computer system and encoding a computer program containing instructions for causing a computer or a computing system to perform the exemplary process (es). The computer readable storage medium is a computer readable memory device.

The computer-readable storage medium may be implemented, for example, via one or more of volatile computer memory, non-volatile memory, hard drive, flash drive, floppy disk or compact disk, and a comparable hardware medium.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a conceptual diagram of a filter system according to a data variable type according to an embodiment of the present invention.

Referring to FIG. 1, a filter system 1000 according to a data variable type according to an embodiment of the present invention is a filter system 1000 according to a data variable type in a web-based data visualization system, and includes a data introduction unit 10, A variable type extracting unit 20, a variable type selecting unit 30, and a data record filtering unit 40.

The filter system 1000 according to the data variable type according to the embodiment of the present invention is a filter system according to the data variable type in the web-based data visualization system is realized in the internet environment based on the network It can mean.

The network may be configured without regard to its networking aspects, such as wired and wireless. For example, the communication network may be composed of various communication networks such as a local area network (LAN), a metropolitan area network (MAN), a wide area network (WAN) It can consist of the Internet connected with the countries of the world.

A network may include any topology of a server, a client, an Internet service provider, and a communications medium. A system according to embodiments described herein may have a static or dynamic topology. The network may include a secure network, such as a corporate network, an unsecure network, such as a wireless open network, or the Internet. The network may also coordinate communications over other networks, such as a Public Switched Telephone Network (PSTN) or a cellular network. The network may also include a short-range wireless network such as Bluetooth or the like. The network provides communication between the nodes described herein. For example, the network may include wireless media such as acoustic, RF, infrared and other wireless media.

Also, in order to execute the chart visualization method of the data table according to the embodiment of the present invention, connection to the Internet environment can be performed through a web browser.

The web browser is a program for displaying various information provided on the internet through a web page. For example, the web browser can be installed in the memory of each client environment when installing the operating system such as 'Internet Explorer' &Quot;, < / RTI > < RTI ID = 0.0 > and / or < / RTI >

The data introducer 10 may invoke the set of data records into the filter system 1000 environment according to the data variable type based on the input of the client.

The client environment can execute an engine that performs chart visualization of the data table described in the detailed description of the present invention. In one embodiment, the client environment obtains data from a local or remote storage device, such as a memory or server, the Internet, or the like. In another embodiment, data is generated in a client environment using an application program running in a client environment.

The client environment may be configured to receive input or feedback from a user or other entity and apply it. Feedback can be interpreted in the client environment to understand the preferences of the user or other entity with respect to the output. Input or feedback may be obtained from a response to one or more prompts that may be obtained directly from the user or other entity and / or generated by the client environment. Based on this input or feedback, the client environment can generate job direction information.

While the subject matter described herein is presented in the general context of program modules that are implemented in connection with the execution of an operating system and an application program on a client environment, those of ordinary skill in the art will appreciate that other implementations It will be appreciated that the examples may be performed. Generally, program modules include routines, programs, components, data structures, and other types of structures that perform particular tasks or implement particular abstract data types. Further, a person skilled in the art will appreciate that the subject matter described herein may be applied to a communication device that can be connected to an external server via a network, such as a desktop PC, a tablet PC, a laptop PC, an IPTV including a set- A handheld-based wireless communication device, a multiprocessor system, a microprocessor-based system that can be connected to an external server through a network such as a cellular phone, a PDA (Personal Digital Assistant), a PMP (Portable Multimedia Player) Based or programmable consumer electronics, minicomputers, mainframe computers, and the like.

The data introduction unit 10 can form and retrieve a set of data records through a search of the client for the data records stored in the database linked with the filter system 1000 according to the data variable type.

The set of data records may be a spreadsheet scheme in which data is stored on a cell-by-cell basis.

Variable types can be assigned to data records stored in each cell. Variable types can represent the attributes of a data record and can be categorized by specific types of predefined types, such as sex (male and female), class (sick, sick, sick, Key, and weight.

The device receiving the client's search may be a hardware including a camera, a microphone, a touch-activated screen, a keyboard, a mouse, and the like.

The device receiving the client's search can communicate with external resources, such as a cloud-hosted platform, to retrieve data in the data table. The cloud host platform may include remote resources including a data store and a content server.

In addition to the touch-driven device, the device receiving the client's search may also include other input mechanisms such as optical gesture capture, gyroscope input devices, a mouse, keyboard, eye tracking input, and software and / or hardware- ≪ / RTI >

In addition, the apparatus receiving the search of the client can interfere with the external server 3000 and can retrieve a set of data records changing in real time from the external server 3000 according to the search time in real time.

According to one embodiment, the data introducer 10 may form and fetch a collection of data records based on the client's selection, for the data records stored in the client environment 2000.

For example, the data introduction unit 10 may retrieve data records stored in a file format in the client environment 2000.

The variable type extracting unit 20 can extract a variable type of data records.

The extraction of the variable type can be done by parsing the data record.

Parsing data records means a parsing process in which a computer acting as a parser classifies a string of sentences into tokens that are considered to be meaningful and reconstructs them into a parse tree. In the parsing process, a series of strings, which are only codes, are translated into machine language and become meaningful units.

On the other hand, parsing is a task of separating semantic units from sentences listed in a series of letters, and may include hierarchical classification and classification of such semantic units as being the central element or the stalled element.

This allows the client to automatically extract the variable type of the data record without having to directly understand the variable type of the data record.

Therefore, the variable type of the data record can be extracted quickly, regardless of the user's understanding of the data record.

In addition, the variable type extracting unit 20 may extract a column item of data records as a variable type.

According to one embodiment, a method of arranging data records is taken into consideration, so that only variable types of the first row for each column of data records can be extracted uniformly.

Therefore, the time required for the variable type can be remarkably shortened.

The variable type selection unit 30 can select a variable type of data records to be visualized based on an input of a client among variable types.

According to one embodiment, the variable type selection unit 30 selects, in a tab that displays only the variable types extracted from the data records, which are distinguished from the tabs for displaying the data records, .

According to another embodiment, the variable type selection unit 30 may be formed such that, in a tab for displaying data records, a variable type is selected for each column of data records based on an input of a client.

Thereby, depending on the nature of the data records, various environments can be constructed in which the client can select the variable type.

Furthermore, a variable type selection environment that matches the client's preferences can be provided.

The data record filtering unit 40 may filter the data records according to the selected variable type.

According to one embodiment, the data record filtering unit 40 includes an alignment selector for sorting data records according to a variable type selected by the variable type selector 30; A condition determining and applying unit that determines a filtering condition of data records and selects only specific data records by applying a determined condition; And a statistical analysis unit for calculating a statistical analysis value of the data records.

The sort selector may receive the sorting method of the data records based on the variable type, and sort the data records by the sorting method.

Condition determination - The application unit receives filtering conditions of data records, and can select only specific data records satisfying the condition.

The statistical analysis unit can calculate and compute statistical analysis values such as sum, average, minimum value, maximum value, median value, and variance of data records.

In addition, according to one embodiment, the data record filtering unit 40 includes a text alignment selection unit 101, a text inclusion exclusion determination unit 102, a text inclusion exclusion range setting unit 103, A date inclusion-exclusion determination unit 402, a date inclusion-exclusion determination unit 402, a date inclusion-exclusion determination unit 402, An inclusion-exclusion range setting unit 403 and a date calculation unit 405. [

Furthermore, the text sorting selection unit 101 to the date calculation unit 405 may be selectively activated according to the selected variable type.

This makes it possible to sufficiently secure the computation capacity required for data processing, improve data processing speed, and induce the client to use only active configurations, thereby enabling easy and intuitive use of the client.

Explain the filtering according to the selected variable type.

2 is a schematic diagram of an interface configuration of a filter system 1000 according to a data variable type when a variable type according to an embodiment of the present invention is a text type.

2, when the variable type is selected as a text type, the data record filtering unit 40 includes a text alignment selection unit 101, a text inclusion exclusion determination unit 102, and a text inclusion exclusion range setting unit 103 may be selectively activated.

The text sorting selection unit 101 may sort data records having a text type as a variable type in ascending or descending order.

The text inclusion-exclusion determiner 102 may select only data records that include or exclude specific texts from data records having a text type as a variable type, depending on the client's selection.

The text-including-exclusion-range setting unit 103 receives the selection of the client and determines whether the data records having the text type as the variable type are selected by the text inclusion-exclusion determination unit 102 to include or exclude all the specific texts Or whether to include or exclude at least one specific text.

Further, the data record filtering unit 40 may further include a text input unit 104 and a variable adding unit 105, and may be activated.

The text input unit 104 may receive text that is an operation reference of the text inclusion exclusion determination unit 102 and the text inclusion exclusion range setting unit 103.

A plurality of variable types can be added by the variable adding unit 105. [

FIG. 3 is a schematic diagram of an interface configuration of a filter system 1000 according to a data variable type when a variable type according to an embodiment of the present invention is a numeric type and a categorical variable type.

3, if the variable type is a numeric type and the variable type is a categorical variable type, the data record filtering unit 40 may include a numeric inclusion exclusion determination unit 201 and a numeric inclusion exclusion range setting unit Lt; RTI ID = 0.0 > 202 < / RTI >

The number-containing-exclusion determination unit 201 can select, among data records having a numeric type as a variable type, to include or exclude specific data records.

The number-exclusion-range setting unit 202 determines whether data records having a numeric type as a variable type are selected by the numeric inclusion-exclusion determination unit 201 to be included or excluded when they are equal to a specific number, The inclusion or exclusion is selected to exclude inclusion or exclusion, the inclusion or exclusion is selected to exclude inclusion or exclusion, the inclusion or exclusion is selected to exclude inclusion or exclusion when the inclusion or exclusion is greater than or equal to a particular number, Is selected to be included or excluded when the number is two and between the particular numbers, and whether the particular number is greater than or equal to 2 and one of the specific numbers is selected to be included or excluded.

Furthermore, the data record filtering unit 40 further includes a number range input unit 203, a plurality of numeric input units 204, a numeric input unit 205, and a variable adding unit 206, and can activate them.

The numerical range input unit 203 may receive a numerical range formed by two specific numbers.

Furthermore, it allows the client to intuitively enter numerical ranges via a mouse-controlled bar-shaped interface 203a.

The plural number input unit 204 can receive these numbers when a specific number is two or more.

Further, each of the numbers may be formed to have a separate input window 204a.

In this case, the client can visually recognize a plurality of numbers easily, and a part of the plurality of numbers inputted can be easily deleted.

The number input unit 205 may receive a number that is an operation reference of the number-inclusion-exclusion determination unit 201 and the number-exclusion-range setting unit 202.

4 is a schematic diagram of an interface configuration of a filter system 1000 according to a data variable type when a variable type according to an embodiment of the present invention is a numeric type and a numeric variable type.

4, if the variable type is selected as a numeric type and the variable type is a numeric variable type, the data record filtering unit 40 includes a numeric sort selection unit 301, a numeric inclusion exclusion determination unit 302, Excluded range setting unit 303 and the numerical calculator 306 can be activated.

The numeric sort selection unit 301 may sort data records having a numeric type as a variable type in ascending or descending order.

The exclusion determination unit 302 may be configured to select or exclude only specific data records from among data records having a numeric type as a variable type. The exclusion determination unit 302 may include a numeric inclusion-exclusion determination unit 201 of FIGS. 1 and 3, As shown in FIG.

The number-of-inclusion-exclusion-range setting unit 303 determines whether data records having a numeric type as a variable type are selected to be included or excluded when they are equal to a specific number by a numeric inclusion-exclusion determination unit, Is selected to be included or excluded when it is selected to be excluded, to be included or excluded when it is smaller than a specific number, to be included or excluded when it is equal to or greater than a certain number, to be included or excluded when it is equal to or less than a certain number, It is possible to determine whether or not to include or exclude when the number is between the specific numbers, whether the particular number is greater than or equal to 2 and to be included or excluded when one of the specific numbers is selected, And plays a substantially same role as the range setting unit 202.

The number calculator 306 may calculate statistical analysis values of data records having a numeric type as a variable type.

Specifically, the numerical calculator 306 can calculate the sum, the average, the minimum value, the maximum value, the median value, the variance, and the like of the data records.

Further, the data record filtering unit 40 may further include a numeric range input unit 304, a plurality of numeric input units 305, a numeric input unit 307, and a variable adding unit 308, and may be activated.

The numeric range input unit 304 performs substantially the same function as the numeric range input unit 203 of FIGS.

Furthermore, it allows the client to intuitively enter numerical ranges via a mouse-controlled bar-shaped interface 304a.

The plural-number input unit 305 performs substantially the same function as the plural-number input unit 204 of Figs.

Furthermore, each of the numbers may have a separate input window 305a.

In this case, the client can visually recognize a plurality of numbers easily, and a part of the plurality of numbers inputted can be easily deleted.

The numeric input unit 307 can receive a numeric value that is an operation reference of the numeric inclusion exclusion determination unit 302 and the numeric inclusion exclusion range setting unit 303.

5 is a schematic diagram of an interface configuration of a filter system 1000 according to a data variable type when a variable type according to an embodiment of the present invention is a date type.

5, when the variable type is selected as the date type, the data record filtering unit 40 includes a date sort selection unit 401, a date inclusion exclusion determination unit 402, a date inclusion exclusion range setting unit 403 ) And the date calculator 405 can be activated.

The date sorting selection unit 401 may sort the data records having the variable type of the date type in ascending or descending order.

The date-including-exclusion determination unit 402 may select only data records that include or exclude a specific date from among data records having a date type as a variable type.

The date-inclusion-exclusion-range setting unit 403 sets the exclusion-range setting unit 403 such that data records having a date type as a variable type are selected by the date inclusion-exclusion determination unit only in data records including or excluding dates belonging to a range specified by the client can do.

The date calculator 405 may calculate statistical analysis values of data records having a date type as a variable type.

Specifically, the date calculator 405 can calculate the sum, average, minimum value, maximum value, intermediate value, variance, etc. of the data records.

Furthermore, the data record filtering unit 40 may further include a date range input unit 404 and a variable adding unit 406, and may be activated.

The date range input unit 404 may be a bar-shaped interface that can be controlled by a mouse. This allows the user to easily and intuitively enter the date.

Through the filter system 1000 according to this data variable type, anyone in the web-based data visualization system can extract a desired group of data records based on data that is not easily and intuitively refined.

In addition, the filtering method can be optimized according to the type of the data records by applying the specific filtering method differently according to the variable type of the data records.

6 is a block diagram of an exemplary computing operating environment in which one embodiment of the invention may be implemented.

Referring to Figure 6, another embodiment of the present invention is a computer-readable memory device having stored thereon instructions for executing a filter system according to a data variable type in a web-based data visualization system, Introducing a set of data records into the filter system environment; A variable type extracting step of extracting a variable type of the data records; Selecting a variable type of data records for visualization based on an input of a client, among the variable types; And a data record filtering step of filtering the data records according to the selected variable type.

The computing device 900 may also include at least one processing unit 920 and a system memory 910.

The computing device 900 may also include a plurality of processing devices that collaborate upon program execution. Depending on the exact configuration and type of computing device, the system memory 910 may be volatile (e.g., RAM), nonvolatile (e.g., ROM, flash memory, etc.), or some combination of the two.

The system memory 910 typically includes, but is not limited to, an operating system 911 suitable for controlling the operation of a platform such as WINDOWS (R) or WINDOWS PHONE (R) operating system from Microsoft, It can be UNIX, Linux, IRIX, AIX, HP-UX.

Software that controls the hardware and manages the environment of the computing device 900, facilitates use of the computing device 900, facilitates the execution of the program modules 912, and acts as an intermediary between the user and the hardware Are all included in the operating system 911.

The system memory 910 may also include one or more software, such as a program module 912, a data visualization module 913,

The data visualization module 913 may execute a computer readable memory device that performs the data record filtering step according to one embodiment of the present invention.

This data visualization module 913 can detect interactions (such as input from the client environment) that interact with the displayed chart. Further, the interaction can be classified into one of an input operation, an update operation, a removal operation, a turning operation, and a click operation, and can be converted into an attribute assigned to each operation.

Then, the data visualization module 913 determines, for the chart elements constituting the chart, whether values are input on the chart elements, whether the chart elements are updated to match the median data set, It can be said that the chart element is rotated and that the chart element is clicked to change the expression of the chart element.

Further, the data visualization module 913 can make the presentation method of the interaction one of zooming, zooming, merging, dividing, zooming in, zooming out, and style changing of the chart element for the chart element forming the chart.

In addition, the data visualization module 913 can execute the given interaction on the chart and update the chart to display the associated changes.

The computing device 900 may have additional features or functionality. For example, computing device 900 may also include additional data storage devices (removable and / or non-removable), such as magnetic disks, optical disks, or tapes. This additional storage is shown in FIG. 6 as removable storage 950 and non-removable storage 960.

Computer-readable storage media can include volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules, or other data .

The computer readable storage medium is a computer readable memory device. System memory 910, removable storage 950, and non-removable storage 960 are all examples of computer readable storage media. The computer-readable storage medium may be any type of storage medium such as RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disk (DVD) or other optical storage, magnetic cassette, magnetic tape, Devices, or any other medium that can be used to store the desired information and which can be accessed by computing device 900.

Any such computer-readable storage medium may be part of the computing device 900. The computing device 900 may also have input device (s) 930, such as a keyboard, a mouse, a pen, a voice input device, a touch input device, and an input device comparable thereto.

Output device (s) 940, such as a display, a speaker, a printer, and other types of output devices. These devices are all well known in the art and will not be discussed here long.

The computing device 900 also includes a communication connection 970 that allows the device to communicate with other computing devices 980, for example, via a wireless network, a satellite link, a cellular link, and similar mechanisms in a distributed computing environment do.

Other devices 980 may include a computing device (s) for executing a communication application, a storage server, and an apparatus comparable thereto. The communication connection unit 970 is an example of a communication medium. Communication media may include computer readable instructions, data structures, program modules, or other data in a modulated data signal, such as a carrier wave or other transport mechanism, and may include any information delivery media. The term "modulated data signal" means a signal that has one or more of its characteristics set or changed to encode information in the signal. By way of example, and not limitation, communication 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.

Exemplary implementations also include methods. These methods may be implemented in any number of ways including those described herein. One such method is by machine operation of a device of the type described herein.

Another optional method is one or more of the individual operations of the method are performed and one or more human operators perform a portion thereof. These human operators do not have to be in the same position with each other, but merely need to be in the same machine as each other performing part of the program.

It will be understood by those skilled in the art that the foregoing description of the present invention is for illustrative purposes only and that those of ordinary skill in the art can readily understand that various changes and modifications may be made without departing from the spirit or essential characteristics of the present invention. will be. It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive. For example, each component described as a single entity may be distributed and implemented, and components described as being distributed may also be implemented in a combined form.

The scope of the present invention is defined by the appended claims, and all changes or modifications derived from the meaning and scope of the claims and their equivalents should be construed as being included within the scope of the present invention.

1000: Filter system according to data variable type
10: Data introduction part
20: variable type extracting unit
30: variable type selection unit
101: Text alignment selector
102: text inclusion-exclusion determination unit
103: Text inclusion-exclusion range setting unit
201: Including a number - exclusion decision section
202: Including a number -
301: Numeral sorting selection unit
306: Numerical calculation unit
401: date sorting selection unit
402: Including date - exclusion decision section
403: Including date - exclusion range setting section
405:
2000: Client environment
3000: External Server

Claims (12)

A filter system according to a data variable type in a web-based data visualization system,
A data introducer for fetching a set of data records into the filter system environment based on an input of a client;
A variable type extracting unit for extracting a variable type of the data records;
A variable type selection unit for selecting, among the variable types, a variable type of data records to be visualized based on an input of a client; And
And a data record filtering unit capable of filtering the data records according to the selected variable type,
The variable-
In a tab that displays only the variable type extracted from the data records, which is distinct from the tab displaying the data records,
And the variable type is selected based on an input of a client. The method according to claim 1,
The data lead-
For data records stored in a database associated with the filter system,
Wherein the client is configured to retrieve and retrieve the set of data records. The method according to claim 1,
The data lead-
For data records stored in the client environment,
Wherein a set of data records is formed and retrieved based on a selection of a client. The method according to claim 1,
The variable-
And the column items of the data records are extracted as a variable type. delete delete The method according to claim 1,
Wherein the data record filtering unit comprises:
An alignment selector for aligning the data records according to the variable type selected by the variable type selector;
A condition determining-applying unit that determines filtering conditions of the data records and selects only specific data records by applying the determined conditions; And
And a statistical analysis unit for calculating a statistical analysis value of the data records. The method according to claim 1,
Wherein the data record filtering unit comprises:
If the variable type is selected as a text type,
A text sorting unit for sorting data records having the text type as a variable type in ascending or descending order;
A text inclusion-exclusion determination unit that selects, among data records having the text type as a variable type, only data records that include or exclude specific text; And
It is determined whether data records having the text type as a variable type are selected by inclusion or exclusion of the specific text by the text inclusion-exclusion determination unit, or whether inclusion or exclusion of the specific text is selected And a text-inclusion-exclusion-range setting unit that sets the exclusion-range setting unit. The method according to claim 1,
Wherein the data record filtering unit comprises:
If the variable type is selected as a numeric type and the variable type is a categorical variable type,
An exclusion determination unit that selects, among data records having the numeric type as a variable type, to include or exclude only specific data records; And
If the data records having the numeric type as a variable type are selected by the numeric inclusion-exclusion determination unit to be included or excluded when being equal to a specific number, included or excluded when being larger than a specific numerical value, The inclusion or exclusion is to be included or excluded, the inclusion or exclusion is selected to exclude or exclude a specific number, the inclusion or exclusion is selected to exclude or exclude a particular number, the inclusion or exclusion when the number is between 2, And a number-excluding-range setting unit for determining whether the number is selected to be excluded, whether a specific number is 2 or more, and whether to be included or excluded when the number is one of the specific numbers. The method according to claim 1,
Wherein the data record filtering unit comprises:
If the variable type is selected as a numeric type and the variable type is a numeric variable type,
A numeric sort selection unit for sorting data records having the numeric type as a variable type in ascending or descending order;
An exclusion determination unit that selects, among data records having the numeric type as a variable type, to include or exclude only specific data records;
If the data records having the numeric type as a variable type are selected by the numeric inclusion-exclusion determination unit to be included or excluded when being equal to a specific number, included or excluded when being larger than a specific numerical value, The inclusion or exclusion is to be included or excluded, the inclusion or exclusion is selected to exclude or exclude a specific number, the inclusion or exclusion is selected to exclude or exclude a particular number, the inclusion or exclusion when the number is between 2, A number excluding-rejection range setting unit for determining whether or not a specific number is 2 or more and is selected to be included or excluded when the number is one of the specific numbers; And
And a numerical value calculation unit for calculating a statistical analysis value of data records having the numeric type as a variable type. The method according to claim 1,
Wherein the data record filtering unit comprises:
If the variable type is selected as a date type,
A date sorting selection unit for sorting data records having the date type as a variable type in ascending or descending order;
A date including a date for selecting only data records that include or exclude a specific date from data records having the date type as a variable type;
The data record having the date type as a variable type includes a date for selecting only data records that include or exclude dates belonging to the range specified by the client by the date inclusion exclusion determination unit; And
And a date calculator for calculating a statistical analysis value of data records having the date type as a variable type. A computer readable memory device having stored thereon instructions for executing a filter system according to a data variable type in a web based data visualization system,
A data introducing step of loading a set of data records into the filter system environment based on an input of a client;
A variable type extracting step of extracting a variable type of the data records;
Selecting a variable type of data records for visualization based on an input of a client, among the variable types; And
Performing a data record filtering step of filtering the data records according to the selected variable type,
Wherein the variable type selection step comprises:
In a tab that displays only the variable type extracted from the data records, which is distinct from the tab displaying the data records,
And wherein said variable type is selected based on an input of a client.

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