CN107783982B - Data processing method and data processing device - Google Patents
Data processing method and data processing device Download PDFInfo
- Publication number
- CN107783982B CN107783982B CN201610721006.7A CN201610721006A CN107783982B CN 107783982 B CN107783982 B CN 107783982B CN 201610721006 A CN201610721006 A CN 201610721006A CN 107783982 B CN107783982 B CN 107783982B
- Authority
- CN
- China
- Prior art keywords
- data
- list
- indexes
- radar map
- data sets
- 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
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/904—Browsing; Visualisation therefor
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Instructional Devices (AREA)
- Radar Systems Or Details Thereof (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a data processing method and a data processing device, wherein a radar map is generated according to a part of data sets in a data source, one or more to-be-selected lists are generated according to other data sets in the data source, indexes displayed in the radar map can be correspondingly reduced due to the fact that the number of coordinate axes in the radar map is small, and meanwhile, the number of evaluation values contained in a closed broken line circle in the radar map is small, so that a user can clearly see the evaluation values of an evaluation object on the indexes.
Description
Technical Field
The present invention relates to the field of data graphical display technologies, and in particular, to a data processing method and a data processing apparatus.
Background
In the field of data graphical display, radar maps are a common data display chart, which is known for its appearance similar to radar waveform maps. Based on the radar chart, the evaluation values of the evaluation object on the respective indices can be visually seen.
The current process of generating a radar map is roughly: acquiring evaluation values of an evaluation object on each index; then, a plurality of coordinate axes are led out from the central point, the number of the coordinate axes is the same as that of the indexes of the evaluation object, each coordinate axis represents one index, and the corresponding index is marked on each coordinate axis; then, the evaluation values of the evaluation object on each index are marked on the corresponding coordinate axes, and points on each coordinate axis are connected into a closed folding coil.
However, the current way of generating radar maps has drawbacks: if the data to be displayed contains the evaluation values of the evaluation object on more indexes, the radar map contains more coordinate axes, more indexes are displayed on the periphery of each coordinate axis, the closed polygonal line circle of the evaluation object is approximate to a smooth curve, and the user cannot clearly see the evaluation values of the evaluation object on each index.
Disclosure of Invention
The present invention has been made in view of the above problems, and aims to provide a data processing method and a data processing apparatus that overcome or at least partially solve the above problems, so that a user can clearly see the evaluation values of evaluation objects in a radar chart on respective indexes, thereby improving user experience.
In one aspect, the present invention provides a data processing method, including:
acquiring first data in a data source, wherein the data source comprises N data sets, each data set comprises evaluation values of K evaluation objects on the same index, the N data sets are evaluation values of the K evaluation objects on different indexes, the first data are M data sets in the N data sets, K is an integer greater than or equal to 1, N is an integer greater than 2, and M is a positive integer less than N;
generating a radar map according to the first data, wherein the radar map comprises M dimensions;
generating at least one to-be-selected list according to second data in the data source, where the second data is a data set of the N data sets except the M data sets, each to-be-selected list includes an indicator corresponding to at least one data set in the second data, and the indicator corresponding to each data set in the second data is included in at least one to-be-selected list.
Preferably, the data processing method further includes: displaying the radar chart and at least one candidate list; and selecting indexes in a to-be-selected list in a display state, replacing the indexes in the radar map by using the selected indexes in the to-be-selected list when a replacement instruction is received, adding the replaced indexes in the radar map into the to-be-selected list, and redrawing the closed-loop loops of the K evaluation objects.
Preferably, in the data processing method, the displaying the radar chart and the at least one candidate list includes: displaying the radar chart; displaying list identifications at preset positions of the radar map, wherein each list identification is associated with a list to be selected; and when the list identification is selected, displaying a to-be-selected list associated with the selected list identification at a specific position.
Preferably, in the data processing method, the displaying the list identifier at the preset position of the radar map includes: determining T target positions based on coordinates of T corner points in M corner points of the radar map, wherein the T target positions are positioned on the outer side of the radar map, and the distance between the corresponding corner point and the target position in the T corner points and the T target positions does not exceed a distance threshold value; and respectively displaying a list mark at the T target positions.
Preferably, in the data processing method, T list identifiers are associated with the same to-be-selected list, and the to-be-selected list associated with the T list identifiers includes: indexes corresponding to data sets except the M data sets in the N data sets.
Preferably, the data processing method further includes:
when the indexes in the displayed list to be selected are selected and a deleting instruction is received, deleting the selected indexes;
and/or when the indexes in the displayed list to be selected are selected and a shift instruction is received, responding to the shift instruction to adjust the sequence of the selected indexes in the list to be selected.
In another aspect, the present invention further provides a data processing apparatus, including:
the data acquisition unit is used for acquiring first data in a data source, wherein the data source comprises N data sets, each data set comprises evaluation values of K evaluation objects on the same index, the N data sets are evaluation values of the K evaluation objects on different indexes, the first data are M data sets in the N data sets, K is an integer greater than or equal to 1, N is an integer greater than 2, and M is a positive integer less than N;
a radar map generation unit, configured to generate a radar map according to the first data, where the radar map includes M dimensions;
the list generating unit is configured to generate at least one to-be-selected list according to second data in the data source, where the second data is a data set of the N data sets except the M data sets, each to-be-selected list includes an indicator corresponding to at least one data set in the second data, and an indicator corresponding to each data set in the second data is included in at least one to-be-selected list.
Preferably, the data processing apparatus further includes:
the first display unit is used for displaying the radar map and at least one list to be selected;
and the drawing unit is used for replacing the indexes in the radar chart by using the selected indexes in the list to be selected when the indexes in the list to be selected in the display state are selected and a replacing instruction is received, adding the replaced indexes in the radar chart into the list to be selected, and redrawing the closed folding loops of the K evaluation objects.
Preferably, in the data processing apparatus, the first display unit includes:
the first display subunit is used for displaying the radar map;
the second display subunit is used for displaying list identifications at preset positions of the radar map, and each list identification is associated with a list to be selected;
and the third display subunit is used for displaying the list to be selected associated with the selected list identifier at a specific position when the list identifier is selected.
Preferably, in the data processing apparatus, the second display subunit includes:
the target position determining module is used for determining T target positions based on coordinates of T corner points in M corner points of the radar map, the T target positions are located on the outer side of the radar map, and the distance between the corresponding corner point and the target position in the T corner points and the T target positions does not exceed a distance threshold value;
and the display module is used for respectively displaying a list identifier at the T target positions.
Preferably, the data processing apparatus further includes:
the index deleting unit is used for deleting the selected indexes when the indexes in the display state to-be-selected list are selected and a deleting instruction is received;
and/or the index adjusting unit is used for responding to the shifting instruction to adjust the sequence of the selected indexes in the to-be-selected list when the indexes in the to-be-selected list in the display state are selected and the shifting instruction is received.
By means of the technical scheme, the data processing method and the data processing device provided by the invention have the advantages that the radar map is generated according to the partial data set in the data source, and the one or more to-be-selected lists are generated according to other data sets in the data source.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 illustrates a flow of a data processing method according to an embodiment of the present invention;
FIG. 2 is a flow chart of another data processing method provided by the embodiment of the invention;
FIG. 3 is a flow chart of another data processing method provided by the embodiment of the invention;
FIG. 4 is a flow chart of another data processing method provided by the embodiment of the invention;
FIG. 5 is a flow chart of another data processing method provided by the embodiment of the invention;
FIG. 6 illustrates a display interface generated using the data processing method provided by an embodiment of the present invention;
fig. 7 shows a structure of a data processing apparatus according to an embodiment of the present invention;
fig. 8 shows a structure of another data processing apparatus provided by an embodiment of the present invention;
fig. 9 shows a structure of another data processing apparatus according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Referring to fig. 1, fig. 1 shows a flow of a data processing method provided by the present invention. The data processing method comprises the following steps:
step S1: first data in a data source is acquired.
The data source comprises N data sets, each data set comprises evaluation values of K evaluation objects on the same index, the N data sets are evaluation values of the K evaluation objects on different indexes, and K is an integer not less than 1. The first data are M data sets in the N data sets, and M is a positive integer smaller than N.
This is illustrated here with an example: there are 30 students in a certain class, the class has 9 courses, 30 students are the evaluation objects, subjects 1 to 9 are the indexes, and scores of each subject of 30 students are the evaluation values. The data source corresponding to the class includes 9 data sets, and data sets 1 to 9 are respectively: the scores of 30 students in subject 1, the scores of 30 students in subject 2, … …, the scores of 30 students in subject 8, and the scores of 30 students in subject 9.
Step S2: a radar map is generated from the first data, the radar map comprising M dimensions.
The first data is M data sets of the N data sets. The process of generating a radar map from the first data: m coordinate axes are led out from a center point, the M coordinate axes respectively represent indexes corresponding to M data sets in the first data, the indexes represented by the coordinate axes are added to the periphery of each coordinate axis, evaluation values in the M data sets are respectively marked on the corresponding coordinate axes, points marked on the coordinate axes aiming at the same evaluation object are sequentially connected to form a closed broken coil, and a radar chart is formed.
The number of indexes contained in the radar map is called the dimension of the radar map, and in addition, the dimension of the radar map is consistent with the number of corner points in the radar map. For example, if the radar map includes 5 indices, the dimension of the radar map is 5, and the radar map includes 5 corner points.
Here, it should be noted that: the above is only one way of generating the radar map according to the first data, and in an implementation, other ways may also be adopted to generate the radar map according to the first data.
For example: drawing a group of concentric circles, leading out M coordinate axes from the circle centers of the concentric circles, equally dividing the concentric circles by the M coordinate axes, respectively representing indexes corresponding to M data sets in the first data, adding the indexes represented by the coordinate axes at the intersection points of the coordinate axes and the outermost circle, respectively marking evaluation values in the M data sets on the corresponding coordinate axes, and sequentially connecting points marked on the coordinate axes aiming at the same evaluation object to form a closed broken coil to form a radar map.
Compared with the conventional radar map generation scheme, the radar map is generated according to only a partial data set in the data source in step S12, so that the number of coordinate axes in the radar map can be reduced, and accordingly, the indexes displayed in the radar map can be reduced, and at the same time, the number of points included in the closed polygonal line circle in the radar map is small, so that the user can clearly see the evaluation value of the evaluation object on each index.
Step S3: and generating at least one to-be-selected list according to the second data in the data source.
And the second data is a data set except for M data sets in the N data sets. Each candidate list comprises indexes corresponding to at least one data set in the second data, and the indexes corresponding to each data set in the second data are at least contained in one candidate list.
That is, one candidate list at least includes indexes corresponding to at least one data set of the N data sets except the M data sets, and the index corresponding to each data set of the N data sets except the M data sets is at least included in one candidate list.
And if a to-be-selected list is generated according to the second data in the data source, the to-be-selected list comprises indexes corresponding to all data sets except the M data sets in the N data sets.
If a plurality of candidate lists are generated according to second data in the data source, each candidate list comprises indexes corresponding to all or part of the N data sets except the M data sets, and the indexes corresponding to each data set except the M data sets in the N data sets are at least contained in one candidate list in the plurality of candidate lists.
This is illustrated here in connection with the above example.
First data is obtained from a data source, and the first data comprises a data set 1, a data set 3, a data set 4 and a data set 5. And generating a radar map by using the 4 data sets, wherein the radar map has a dimension of 4 and comprises 4 corner points. Indexes represented by the coordinate axes are respectively displayed on the periphery of 4 coordinate axes in the radar chart, and the four indexes are subject 1, subject 3, subject 4 and subject 5.
And generating at least one to-be-selected list according to second data in the data source, wherein each to-be-selected list comprises indexes corresponding to at least one of the data sets 2, 6, 7, 8 and 9, and the indexes corresponding to each of the data sets 2, 6, 7, 8 and 9 are at least contained in one to-be-selected list.
For example: and generating a list to be selected according to the second data in the data source, wherein the list to be selected comprises indexes corresponding to the data set 2, the data set 6, the data set 7, the data set 8 and the data set 9.
For example: generating a plurality of candidate lists according to second data in the data source, and then each of the candidate lists may include indexes corresponding to the data set 2, the data set 6, the data set 7, the data set 8, and the data set 9; or, each of the aforementioned multiple candidate lists may only include indexes corresponding to a part of the data sets in the data sets 2, 6, 7, 8, and 9, and the indexes corresponding to each of the data sets in the data sets 2, 6, 7, 8, and 9 are at least included in one candidate list, that is, the index corresponding to the data set 2 is at least included in one candidate list, the index corresponding to the data set 6 is at least included in one candidate list, the index corresponding to the data set 7 is at least included in one candidate list, the index corresponding to the data set 8 is at least included in one candidate list, and the index corresponding to the data set 9 is at least included in one candidate list.
The data processing method provided by the invention can generate the radar map according to a part of data sets in the data source, and generate one or more candidate lists according to other data sets in the data source, and can correspondingly reduce indexes displayed in the radar map due to the fact that the number of coordinate axes in the radar map is small, and meanwhile, the number of evaluation values contained in a closed broken line circle in the radar map is small, so that a user can clearly see the evaluation values of an evaluation object on each index.
Referring to fig. 2, fig. 2 shows a flow of another data processing method provided by the present invention. The data processing method comprises the following steps:
step S1: first data in a data source is acquired.
The data source comprises N data sets, each data set comprises evaluation values of K evaluation objects on the same index, the N data sets are evaluation values of the K evaluation objects on different indexes, and K is an integer not less than 1. The first data are M data sets in the N data sets, and M is a positive integer smaller than N.
Step S2: a radar map is generated from the first data, the radar map comprising M dimensions.
Step S3: and generating at least one to-be-selected list according to the second data in the data source.
And the second data is a data set except for M data sets in the N data sets. Each candidate list comprises indexes corresponding to at least one data set in the second data, and the indexes corresponding to each data set in the second data are at least contained in one candidate list.
In one embodiment, a candidate list is generated based on the second data in the data source. Correspondingly, the list to be selected includes indexes corresponding to data sets other than the M data sets in the N data sets.
In another embodiment, a plurality of candidate lists are generated according to the second data in the data source. Correspondingly, each candidate list comprises indexes corresponding to all or part of the N data sets except the M data sets, and the indexes corresponding to each data set except the M data sets in the N data sets are at least contained in one candidate list in the multiple candidate lists.
Step S4: and displaying the radar map and at least one candidate list.
Step S5: and when the indexes in the to-be-selected list in the display state are selected and a replacing instruction is received, replacing the indexes in the radar chart by using the selected indexes in the to-be-selected list, adding the replaced indexes in the radar chart into the to-be-selected list, and redrawing the closed-folding loops of the K evaluation objects.
Respectively displaying the radar map and at least one to-be-selected list at a preset position of a display interface, and when the indexes in the to-be-selected list in the display state are selected and a replacing instruction is received, replacing the indexes in the radar map by using the selected indexes in the to-be-selected list, and adding the replaced indexes in the radar map into the to-be-selected list. And then, marking the evaluation values of the K evaluation objects on the index on the coordinate axis with the replaced index, and sequentially connecting points marked on the current coordinate axis for the same evaluation object to form a closed loop to form a new radar map.
It should be noted that, when the indicator in the displayed candidate list is selected and a replacement instruction is received, replacing the indicator in the radar chart with the selected indicator in the candidate list may be replacing any indicator in the radar chart with the selected indicator in the candidate list.
In a preferred embodiment, when the indexes in the displayed candidate list are selected and a replacement instruction is received, the selected indexes in the radar map are replaced by the selected indexes in the candidate list.
In implementation, a click event may be bound to each index in the radar map, and when a user clicks a certain index in the radar map, it may be determined that the index is selected.
In the data processing method shown in fig. 2 of the present invention, a radar map is generated according to a partial data set in a data source, and one or more candidate lists are generated according to other data sets in the data source, because the number of coordinate axes in the radar map is small, indexes displayed in the radar map can be correspondingly reduced, and meanwhile, the number of evaluation values contained in a closed broken line circle in the radar map is small, so that a user can clearly see the evaluation values of an evaluation object on each index; when a user needs to check the evaluation value of an evaluation object on a certain index in the to-be-selected list, the index in the radar map can be replaced by the selected index in the to-be-selected list only by selecting the index to be checked in the to-be-selected list and inputting a replacement instruction, and the user can check the evaluation value of the evaluation object on each current index through the redrawn closed folding coils of the K evaluation objects.
Referring to fig. 3, fig. 3 shows a flow of another data processing method provided by the present invention. The data processing method comprises the following steps:
step S1: first data in a data source is acquired.
Step S2: a radar map is generated from the first data, the radar map comprising M dimensions.
Step S3: and generating at least one to-be-selected list according to the second data in the data source.
The specific implementation of step S1 to step S3 may refer to the above description, and is not described here again.
Step S41: the radar map is displayed.
Step S42: and displaying list identifications at preset positions of the radar map, wherein each list identification is associated with a list to be selected.
It should be noted here that each candidate list is associated with at least one list identifier, and the number of the list identifiers is not less than the number of the candidate lists. Wherein the list identifier may be a button.
Step S43: and when the list identification is selected, displaying a to-be-selected list associated with the selected list identification at a specific position.
The steps S41, S42, and S43 shown above are only one embodiment of displaying a radar chart and at least one candidate list.
Step S5: and when the indexes in the to-be-selected list in the display state are selected and a replacing instruction is received, replacing the indexes in the radar chart by using the selected indexes in the to-be-selected list, adding the replaced indexes in the radar chart into the to-be-selected list in the display state, and redrawing the closed-loop loops of the K evaluation objects.
In the data processing method shown in fig. 3 of the present invention, after one or more candidate lists are generated, list identifiers are displayed at preset positions of a radar chart, and when a list identifier is selected, the candidate list associated with the selected list identifier can be displayed at a specific position. Based on the data processing method shown in fig. 3, a user can control the electronic device to display the corresponding list to be selected according to the requirement, so that the display interface only displays the radar map and the list to be selected concerned by the user, and the content displayed on the display interface can be simplified.
Referring to fig. 4, fig. 4 shows a flow of another data processing method provided by the present invention. The data processing method comprises the following steps:
step S1: first data in a data source is acquired.
Step S2: a radar map is generated from the first data, the radar map comprising M dimensions.
Step S3: and generating at least one to-be-selected list according to the second data in the data source.
Step S41: the radar map is displayed.
Step S421: the T target positions are determined based on the coordinates of T of the M corner points of the radar map.
Wherein T is a positive integer less than or equal to M. The T target positions are located on the outer side of the radar map, and the distance between the T corner points and the corresponding corner points in the T target positions and the target positions does not exceed a distance threshold value. That is, a target position is determined outside each of T corner points among the M corner points, and a distance between the corresponding corner point and the target position is less than or equal to a distance threshold.
Step S422: and respectively displaying a list mark at the T target positions.
And respectively displaying a list identifier outside the T corner points of the radar chart from the perspective of a user. The number of the list identifications is not less than that of the lists to be selected, each list identification is associated with one list to be selected, and each list to be selected is associated with at least one list identification.
For example: in step S3, 3 candidate lists are generated by using the second data in the data source, then at least 3 target locations should be determined in step S421, in step S422, a list identifier is displayed in each of the determined at least 3 target locations, each list identifier is associated with one candidate list, and each candidate list in the 3 candidate lists is associated with at least one list identifier.
The above steps S421 and S422 are only one embodiment of displaying the list identifier at the preset position of the radar chart.
Step S43: and when the list identification is selected, displaying a to-be-selected list associated with the selected list identification at a specific position.
Step S5: and when the indexes in the to-be-selected list in the display state are selected and a replacing instruction is received, replacing the indexes in the radar chart by using the selected indexes in the to-be-selected list, adding the replaced indexes in the radar chart into the to-be-selected list in the display state, and redrawing the closed-loop loops of the K evaluation objects.
T target positions (namely display positions of T list marks) are determined according to coordinates of T corner points in a radar map, the T list marks correspond to indexes at the T corner points in a one-to-one mode, and under the condition that a certain list mark is selected and a list to be selected related to the certain list mark is in a display state, when the indexes in the list to be selected are selected and a replacement instruction is received, the indexes corresponding to the selected list marks in the radar map are the selected indexes.
In the data processing method shown in fig. 4 of the present invention, T target positions are determined based on coordinates of T corner points in M corner points in a radar map, then a list identifier is displayed at the T target positions, and when a certain list identifier is selected and a to-be-selected list associated with the certain list identifier is in a display state, and when an index in the to-be-selected list is selected and a replacement instruction is received, an index corresponding to the selected list identifier in the radar map is the selected index, and a user does not need to perform an operation of selecting an index to be replaced in the radar map, which can simplify user operations.
In the data processing method shown in fig. 4, as a preferred embodiment, the T list identifiers are associated with the same candidate list, and the candidate list associated with the T list identifiers includes: indexes corresponding to data sets except M data sets in the N data sets.
That is to say, a to-be-selected list is generated by using second data in the data source, the to-be-selected list includes indexes corresponding to data sets other than M data sets in the N data sets, then T target positions are determined, a list identifier is respectively displayed at the T target positions, and the T list identifiers are all associated with the to-be-selected list.
Because the to-be-selected list associated with each list identifier comprises indexes corresponding to data sets except M data sets in the N data sets, when a user wants to replace a certain index in the current radar map by using the certain index, the index for replacement can be conveniently and quickly selected in the to-be-selected list.
In the data processing method shown in fig. 4, as an embodiment, M target positions are determined based on coordinates of M corner points of the radar map, and then a list identifier is displayed at each of the M target positions, each list identifier is associated with one to-be-selected list, and each to-be-selected list is associated with at least one of the M list identifiers. Aiming at any index in M indexes in the radar map, a user can replace the index by using the index in the list to be selected, and the operation is more flexible.
Preferably, the M list identifiers are associated with the same list to be selected, and the list to be selected includes indexes corresponding to data sets other than the M data sets in the N data sets.
In a specific implementation, when the positive direction of the X axis of the coordinate system is directed to the right side from the origin of coordinates, and the positive direction of the Y axis is directed to the upper side from the origin of coordinates, as an implementation, T target coordinates are determined based on coordinates of T corner points in the radar map, specifically:
for the corner point positioned on the left side of the longitudinal center line of the radar map, subtracting a first numerical value from the abscissa of the corner point to obtain the abscissa of the target position, and taking the ordinate of the corner point as the ordinate of the target position;
for the corner point positioned on the right side of the longitudinal center line of the radar image, adding a first numerical value to the abscissa of the corner point to obtain the abscissa of the target position, and taking the ordinate of the corner point as the ordinate of the target position;
for the corner point which is positioned on the longitudinal central line of the radar map and is positioned on the upper side of the transverse central line of the radar map, adding a second numerical value to the ordinate of the corner point to obtain the ordinate of the target position, and taking the abscissa of the corner point as the abscissa of the target position;
and for the corner point which is positioned on the longitudinal center line of the radar map and is positioned on the lower side of the transverse center line of the radar map, subtracting a second numerical value from the ordinate of the corner point to obtain the ordinate of the target position, and taking the abscissa of the corner point as the abscissa of the target position.
This is illustrated here by way of an example:
the T corner points are respectively: a corner point A1 with coordinates (x1, y 1); a corner point A2 with coordinates (x2, y 2); a corner point A3 with coordinates (x3, y 3); corner A4, with coordinates (x4, y 4).
The corner point a1 is located on the left side of the longitudinal center line of the radar map, the corner point a2 is located on the right side of the longitudinal center line of the radar map, the corner point A3 is located on the longitudinal center line of the radar map and located on the upper side of the transverse center line of the radar map, and the corner point a4 is located on the longitudinal center line of the radar map and located on the lower side of the transverse center line of the radar map.
Accordingly, the coordinates of the T target positions determined based on the coordinates of the T corner points are (x1-k1, y1), (x2+ k1, y2), (x3, y3+ k2), and (x4, y4-k2), respectively.
In a case where a positive direction of an X axis of the coordinate system is directed to a right side from the origin of coordinates, and a positive direction of a Y axis is directed to an upper side from the origin of coordinates, as another embodiment, T target coordinates are determined based on coordinates of T corner points in the radar chart, specifically:
for the angular points positioned on the left side of the longitudinal center line and the upper side of the transverse center line of the radar image, subtracting a first numerical value from the abscissa of the angular point to obtain the abscissa of the target position, and adding a second numerical value to the ordinate of the angular point to obtain the ordinate of the target position;
for the angular points positioned on the left side of the longitudinal central line and on the lower side of the transverse central line of the radar image, subtracting a first numerical value from the abscissa of the angular point to obtain the abscissa of the target position, and subtracting a second numerical value from the ordinate of the angular point to obtain the ordinate of the target position;
for the angular points positioned on the right side of the longitudinal center line and the upper side of the transverse center line of the radar image, adding a first numerical value to the abscissa of the angular point to obtain the abscissa of the target position, and adding a second numerical value to the ordinate of the angular point to obtain the ordinate of the target position;
for the angular points positioned on the right side of the longitudinal central line and on the lower side of the transverse central line of the radar image, adding a first numerical value to the abscissa of the angular point to obtain the abscissa of the target position, and subtracting a second numerical value from the ordinate of the angular point to obtain the ordinate of the target position;
for the corner point which is positioned on the longitudinal central line of the radar map and is positioned on the upper side of the transverse central line of the radar map, adding a second numerical value to the ordinate of the corner point to obtain the ordinate of the target position, and taking the abscissa of the corner point as the abscissa of the target position;
and for the corner point which is positioned on the longitudinal center line of the radar map and is positioned on the lower side of the transverse center line of the radar map, subtracting a second numerical value from the ordinate of the corner point to obtain the ordinate of the target position, and taking the abscissa of the corner point as the abscissa of the target position.
This is illustrated here by way of an example:
the T corner points are respectively: a corner point A1 with coordinates (x1, y 1); a corner point A2 with coordinates (x2, y 2); a corner point A3 with coordinates (x3, y 3); a corner point A4 with coordinates (x4, y 4); a corner point A5 with coordinates (x5, y 5); corner A5, with coordinates (x5, y 5).
The angular point a1 is located on the left side of the longitudinal center line of the radar map and on the upper side of the transverse center line, the angular point a2 is located on the right side of the longitudinal center line of the radar map and on the upper side of the transverse center line of the radar map, the angular point A3 is located on the longitudinal center line of the radar map and on the upper side of the transverse center line of the radar map, the angular point a4 is located on the longitudinal center line of the radar map and on the lower side of the transverse center line of the radar map, the angular point a5 is located on the left side of the longitudinal center line of the radar map and on the lower side of the transverse center line, and the angular point a6 is located on the right side of the longitudinal center line of the radar map and on the lower side of the transverse center line.
Accordingly, the coordinates of the T target positions determined based on the coordinates of the T corner points are (x1-k1, y1+ k2), (x2+ k1, y2+ k2), (x3, y3+ k2), (x4, y4-k2), (x5-k1, y5-k2), and (x6+ k1, y6-k2), respectively.
Fig. 6 shows a display interface generated by the data processing method according to the embodiment of the present invention, where the display interface includes a radar map and a list to be selected in a display state, a list identifier is respectively displayed outside corner points where an index 1, an index 3, an index 4, an index 6, and an index 7 are located in the radar map, the list identifier at the corner point where the index 6 is located is in a selected state, and the list to be selected associated with the list identifier is in the display state.
As a preferred embodiment, on the basis of the data processing method disclosed above, after the candidate list is displayed, step S6 and/or step S7 may be further provided, as shown in fig. 5, where fig. 5 shows a flow of another data processing method provided by the present invention.
Step S6: and when the indexes in the displayed list to be selected are selected and a deletion instruction is received, deleting the selected indexes.
Step S7: and when the indexes in the to-be-selected list in the display state are selected and the shifting instruction is received, responding to the shifting instruction to adjust the sequence of the selected indexes in the to-be-selected list.
And respectively binding a deletion event and a shift event aiming at each index in the list to be selected. Under the condition that the list to be selected is in a display state, when a certain index is selected and a deletion instruction is received, the selected index is deleted from the current list to be selected. Under the condition that the list to be selected is in a display state, when a certain index is selected and a shift instruction is received, responding to the shift instruction, and moving the selected index up or down in the list to be selected.
In the data processing method shown in fig. 5, when the indicator in the displayed list to be selected is selected, the selected indicator can be deleted in response to the delete instruction, or the ordering of the selected indicator in the list to be selected can be adjusted in response to the shift instruction, so that the user can edit the list to be selected conveniently.
In the data processing method disclosed by the invention, the following technical scheme can be adopted for acquiring the first data in the data source:
receiving selection operation of a user for the N data sets;
and acquiring a data set selected by a user.
The method comprises the steps that a user determines indexes to be displayed in a radar map according to own requirements, then selection operation is executed on N data sets in a data source, the data sets corresponding to the indexes to be displayed in the radar map are selected, correspondingly, a data processing device receives the selection operation of the user on the N data sets, and the data sets selected by the user are obtained, and the data sets are first data used for generating the radar map. Based on the technical scheme, the user can flexibly select the first data for generating the radar map, so that the radar map shows the evaluation value concerned by the user.
The invention discloses a data processing method and correspondingly discloses a data processing device. The following description of the data processing apparatus and the above description of the data processing method may be referred to each other.
Referring to fig. 7, fig. 7 shows a structure of a data processing apparatus provided by the present invention. The data processing apparatus includes a data acquisition unit 10, a radar chart generation unit 20, and a list generation unit 30.
Wherein:
a data obtaining unit 10, configured to obtain first data in a data source. The data source comprises N data sets, one data set comprises evaluation values of K evaluation objects on the same index, the N data sets comprise evaluation values of the K evaluation objects on different indexes, and K is an integer not less than 1. The first data are M data sets in the N data sets, and M is a positive integer smaller than N.
And a radar map generating unit 20, configured to generate a radar map according to the first data, where the radar map includes M dimensions.
And the list generating unit 30 is configured to generate at least one candidate list according to the second data in the data source. The second data is a data set of the N data sets except the M data sets. Each candidate list comprises indexes corresponding to at least one data set in the second data, and the indexes corresponding to each data set in the second data are at least contained in one candidate list.
The data processing device provided by the invention can generate the radar map only according to a part of data sets in the data source, and generate one or more candidate lists according to other data sets in the data source, and can correspondingly reduce indexes displayed in the radar map due to the fact that the number of coordinate axes in the radar map is small, and meanwhile, the number of evaluation values contained in a closed broken line circle in the radar map is small, so that a user can clearly see the evaluation values of an evaluation object on each index.
As a preferred embodiment, a first display unit 40 and a drawing unit 50 may be further provided on the basis of the data processing apparatus shown in fig. 7, as shown in fig. 8. The functions of the first display unit 40 and the drawing unit 50 will be explained here with emphasis.
And the first display unit 40 is used for displaying the radar map and at least one candidate list.
And the drawing unit 50 is configured to, when the index in the to-be-selected list in the display state is selected and a replacement instruction is received, replace the index in the radar chart with the selected index in the to-be-selected list, add the replaced index in the radar chart to the to-be-selected list, and redraw the closed-loop loops of the K evaluation objects.
The first display unit 40 displays the radar map and at least one list to be selected at preset positions of the display interface respectively. When the index in the displayed candidate list is selected and a replacing instruction is received, the drawing unit 50 replaces the index in the radar map by using the selected index in the candidate list, adds the replaced index in the radar map into the candidate list, marks the evaluation values of the K evaluation objects on the index on the coordinate axis where the index is replaced, and sequentially connects the points marked on the current coordinate axis for the same evaluation object to form a closed loop so as to form a new radar map.
It should be noted that, the drawing unit 50 replaces the index in the radar chart with the selected index in the to-be-selected list, may replace any index in the radar chart with the selected index in the to-be-selected list, or may replace the selected index in the radar chart with the selected index in the to-be-selected list.
The data processing apparatus shown in fig. 8 of the present invention generates a radar map only according to a part of data sets in a data source, and generates one or more candidate lists according to other data sets in the data source, and accordingly, indexes displayed in the radar map can be reduced due to the smaller number of coordinate axes in the radar map, and meanwhile, the number of evaluation values included in a closed polygonal line circle in the radar map is smaller, so that a user can clearly see the evaluation values of evaluation objects on the indexes; when a user needs to check the evaluation value of an evaluation object on a certain index in the to-be-selected list, the index in the radar map can be replaced by the selected index in the to-be-selected list only by selecting the index to be checked in the to-be-selected list and inputting a replacement instruction, and the user can check the evaluation value of the evaluation object on each current index through the redrawn closed folding coils of the K evaluation objects.
As a preferred embodiment, an index deleting unit 60 and/or an index adjusting unit 70 may be further provided in addition to the data processing apparatus shown in fig. 8.
The functions of the index deletion unit 60 and the index adjustment unit 70 will be described below with reference to fig. 9, and fig. 9 shows the configuration of another data processing apparatus provided by the present invention. The data processing apparatus further includes an index deleting unit 60 and an index adjusting unit 70, as compared with the data processing apparatus shown in fig. 8.
And an index deleting unit 60 configured to delete the selected index when the index in the displayed list to be selected is selected and a deletion instruction is received.
And an index adjusting unit 70, configured to, when an index in the to-be-selected list in the display state is selected and a shift instruction is received, adjust the ordering of the selected index in the to-be-selected list in response to the shift instruction.
And respectively binding a deletion event and a shift event aiming at each index in the list to be selected. When a certain index is selected and a deletion instruction is received while the list to be selected is in the display state, the index deletion unit 60 deletes the selected index from the current list to be selected. When a pointer is selected and a shift instruction is received while the list to be selected is in the display state, the pointer adjusting unit 70 responds to the shift instruction to move the selected pointer up or down in the list to be selected.
The data processing apparatus shown in fig. 9 of the present invention can respond to the delete instruction to delete the selected index when the index in the displayed candidate list is selected, or respond to the shift instruction to adjust the sequence of the selected index in the candidate list, so that the user can edit the candidate list conveniently.
In the data processing apparatus shown in fig. 8 and 9 of the present invention, as one embodiment, the first display unit 40 includes:
the first display subunit is used for displaying the radar map;
the second display subunit is used for displaying list identifications at a preset position of the radar chart, and each list identification is associated with one to-be-selected list;
and the third display subunit is used for displaying the list to be selected associated with the selected list identifier at a specific position when the list identifier is selected.
According to the data processing device disclosed by the invention, after one or more lists to be selected are generated, the list identification is displayed at the preset position of the radar chart, and when the list identification is selected, the lists to be selected related to the selected list identification can be displayed at the specific position. Based on the data processing device, a user can control the electronic equipment to display the corresponding list to be selected according to requirements, so that the display interface only displays the radar map and the list to be selected concerned by the user, and the content displayed on the display interface can be simplified.
As one example, the second display subunit adopts a structure including a target position determination module and a display module.
And the target position determining module is used for determining T target positions based on the coordinates of T corner points in the M corner points of the radar map, the T target positions are positioned on the outer side of the radar map, and the distance between the corresponding corner point and the target position in the T corner points and the T target positions does not exceed a distance threshold value. And the display module is used for respectively displaying a list identifier at the T target positions.
Based on the embodiment, under the condition that a certain list identifier is selected and a to-be-selected list associated with the certain list identifier is in a display state, when one index in the to-be-selected list is selected and a replacement instruction is received, the index corresponding to the selected list identifier in the radar map is the selected index, the user does not need to perform the operation of selecting the index to be replaced in the radar map, and the user operation can be simplified.
In implementation, the process of determining the T target positions by the target position determining module based on the coordinates of the T corner points of the M corner points of the radar map may refer to the foregoing description, and is not described herein again.
As a preferred embodiment, the T list identifiers are associated with the same candidate list, and the candidate list associated with the T list identifiers includes: indexes corresponding to data sets except M data sets in the N data sets.
That is to say, a to-be-selected list is generated by using second data in the data source, the to-be-selected list includes indexes corresponding to data sets other than M data sets in the N data sets, then T target positions are determined, a list identifier is respectively displayed at the T target positions, and the T list identifiers are all associated with the to-be-selected list.
Because the to-be-selected list associated with each list identifier comprises indexes corresponding to data sets except M data sets in the N data sets, when a user wants to replace a certain index in the current radar map by using the certain index, the index for replacement can be conveniently and quickly selected in the to-be-selected list.
As a preferred embodiment, the target position determining module is configured to determine M target positions based on coordinates of M corner points of the radar map, the display module is configured to display a list identifier at each of the M target positions, the M list identifiers are respectively associated with one to-be-selected list, and each to-be-selected list is associated with at least one of the M list identifiers.
Based on the implementation mode, the user can replace any index in the M indexes in the radar map by using the indexes in the to-be-selected list, and the operation is more flexible.
Preferably, the M list identifiers are associated with the same list to be selected, and the list to be selected includes indexes corresponding to data sets other than the M data sets in the N data sets.
In the data processing apparatus shown in fig. 7, 8, and 9 of the present invention, the data acquisition unit 10 includes an operation receiving subunit and a data acquisition subunit as one embodiment. The operation receiving subunit is used for receiving the selection operation of the user for the N data sets, and the data acquiring subunit is used for acquiring the data set selected by the user.
The method comprises the steps that a user determines indexes to be displayed in a radar map according to own requirements, then selection operation is executed on N data sets in a data source, the data sets corresponding to the indexes to be displayed in the radar map are selected, correspondingly, an operation receiving subunit receives the selection operation of the user on the N data sets, and a data acquisition subunit acquires the data sets selected by the user, wherein the data sets are first data used for generating the radar map. Based on the technical scheme, the user can flexibly select the first data for generating the radar map, so that the radar map shows the evaluation value concerned by the user.
The data processing device comprises a processor and a memory, wherein the data acquisition unit, the radar map generation unit, the list generation unit, the first display unit, the drawing unit, the index deletion unit, the index adjustment unit and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more, and the indexes displayed in the radar map and the evaluation values contained in the closed-folding coils in the radar map are reduced by adjusting the parameters of the kernel, so that the user can clearly see the evaluation values of the evaluation objects on the indexes.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
By means of the technical scheme, the data processing device provided by the invention generates the radar map only according to the partial data set in the data source, and generates one or more candidate lists according to other data sets in the data source, and the indexes displayed in the radar map can be correspondingly reduced due to the fact that the number of coordinate axes in the radar map is small, and meanwhile, the number of the evaluation values contained in the closed broken line circle in the radar map is small, so that a user can clearly see the evaluation values of the evaluation object on each index.
The present application further provides a computer program product adapted to perform program code for initializing the following method steps when executed on a data processing device:
acquiring first data in a data source, wherein the data source comprises N data sets, each data set comprises evaluation values of K evaluation objects on the same index, the N data sets are evaluation values of the K evaluation objects on different indexes, the first data are M data sets in the N data sets, K is an integer greater than or equal to 1, N is an integer greater than 2, and M is a positive integer less than N;
generating a radar map according to the first data, wherein the radar map comprises M dimensions;
generating at least one to-be-selected list according to second data in the data source, where the second data is a data set of the N data sets except the M data sets, each to-be-selected list includes an indicator corresponding to at least one data set in the second data, and the indicator corresponding to each data set in the second data is included in at least one to-be-selected list.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (9)
1. A data processing method, comprising:
acquiring first data in a data source, where the data source includes N data sets, each data set includes evaluation values of K evaluation objects on the same index, the N data sets are evaluation values of the K evaluation objects on different indexes, the first data are M data sets of the N data sets, K is an integer greater than or equal to 1, N is an integer greater than 2, and M is a positive integer less than N, where the acquiring of the first data in the data source includes: receiving selection operation aiming at the N data sets, and acquiring the selected data set as the first data;
generating a radar map according to the first data, wherein the radar map comprises M dimensions;
generating at least one to-be-selected list according to second data in the data source, where the second data is a data set of the N data sets except the M data sets, each to-be-selected list includes an indicator corresponding to at least one data set in the second data, and the indicator corresponding to each data set in the second data is included in at least one to-be-selected list;
displaying the radar chart and at least one candidate list;
and selecting indexes in a to-be-selected list in a display state, replacing the indexes in the radar map by using the selected indexes in the to-be-selected list when a replacement instruction is received, adding the replaced indexes in the radar map into the to-be-selected list, and redrawing the closed-loop loops of the K evaluation objects.
2. The data processing method of claim 1, wherein the displaying the radar chart and at least one candidate list comprises:
displaying the radar chart;
displaying list identifications at preset positions of the radar map, wherein each list identification is associated with a list to be selected;
and when the list identification is selected, displaying a to-be-selected list associated with the selected list identification at a specific position.
3. The data processing method of claim 2, wherein displaying the list identifier at the preset position of the radar map comprises:
determining T target positions based on coordinates of T corner points in M corner points of the radar map, wherein the T target positions are positioned on the outer side of the radar map, and the distance between the corresponding corner point and the target position in the T corner points and the T target positions does not exceed a distance threshold value;
and respectively displaying a list mark at the T target positions.
4. The data processing method according to claim 3, wherein T list identifications are associated with the same candidate list, and the candidate list associated with the T list identifications comprises: indexes corresponding to data sets except the M data sets in the N data sets.
5. The data processing method according to any one of claims 1 to 4, characterized in that the data processing method further comprises:
when the indexes in the displayed list to be selected are selected and a deleting instruction is received, deleting the selected indexes;
and/or when the indexes in the displayed list to be selected are selected and a shift instruction is received, responding to the shift instruction to adjust the sequence of the selected indexes in the list to be selected.
6. A data processing apparatus, comprising:
the data acquiring unit is configured to acquire first data in a data source, where the data source includes N data sets, each data set includes evaluation values of K evaluation objects on the same index, the N data sets are evaluation values of the K evaluation objects on different indexes, the first data are M data sets of the N data sets, K is an integer greater than or equal to 1, N is an integer greater than 2, and M is a positive integer less than N, where the data acquiring unit specifically acquires the first data in the data source by: receiving selection operation aiming at the N data sets, and acquiring the selected data set as the first data;
a radar map generation unit, configured to generate a radar map according to the first data, where the radar map includes M dimensions;
a list generating unit, configured to generate at least one to-be-selected list according to second data in the data source, where the second data is a data set of the N data sets except the M data sets, each to-be-selected list includes an indicator corresponding to at least one data set of the second data, and an indicator corresponding to each data set of the second data is included in at least one to-be-selected list;
the first display unit is used for displaying the radar map and at least one list to be selected;
and the drawing unit is used for replacing the indexes in the radar chart by using the selected indexes in the list to be selected when the indexes in the list to be selected in the display state are selected and a replacing instruction is received, adding the replaced indexes in the radar chart into the list to be selected, and redrawing the closed folding loops of the K evaluation objects.
7. The data processing apparatus of claim 6, wherein the first display unit comprises:
the first display subunit is used for displaying the radar map;
the second display subunit is used for displaying list identifications at preset positions of the radar map, and each list identification is associated with a list to be selected;
and the third display subunit is used for displaying the list to be selected associated with the selected list identifier at a specific position when the list identifier is selected.
8. The data processing apparatus of claim 7, wherein the second display subunit comprises:
the target position determining module is used for determining T target positions based on coordinates of T corner points in M corner points of the radar map, the T target positions are located on the outer side of the radar map, and the distance between the corresponding corner point and the target position in the T corner points and the T target positions does not exceed a distance threshold value;
and the display module is used for respectively displaying a list identifier at the T target positions.
9. The data processing apparatus according to any one of claims 6 to 8, characterized in that the data processing apparatus further comprises:
the index deleting unit is used for deleting the selected indexes when the indexes in the display state to-be-selected list are selected and a deleting instruction is received;
and/or the index adjusting unit is used for responding to the shifting instruction to adjust the sequence of the selected indexes in the to-be-selected list when the indexes in the to-be-selected list in the display state are selected and the shifting instruction is received.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610721006.7A CN107783982B (en) | 2016-08-24 | 2016-08-24 | Data processing method and data processing device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610721006.7A CN107783982B (en) | 2016-08-24 | 2016-08-24 | Data processing method and data processing device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107783982A CN107783982A (en) | 2018-03-09 |
| CN107783982B true CN107783982B (en) | 2021-09-07 |
Family
ID=61388854
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610721006.7A Active CN107783982B (en) | 2016-08-24 | 2016-08-24 | Data processing method and data processing device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107783982B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110442849A (en) * | 2019-06-14 | 2019-11-12 | 平安科技（深圳）有限公司 | Method for exhibiting data, device, computer equipment and storage medium |
| CN113032608A (en) * | 2019-12-25 | 2021-06-25 | 北京宝沃汽车股份有限公司 | Method and device for drawing radar map, storage medium and electronic equipment |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101339665A (en) * | 2008-08-21 | 2009-01-07 | 金蝶软件（中国）有限公司 | Method and device for automatically creating radar graph |
| CN102324066A (en) * | 2011-08-26 | 2012-01-18 | 积成电子股份有限公司 | Radar chart representation method for early warning and assessment index of power system |
| CN102682408A (en) * | 2012-04-26 | 2012-09-19 | 中国人民解放军海军工程大学 | Comprehensive electric energy quality estimation method based on improved radar graph |
| CN103679386A (en) * | 2013-12-25 | 2014-03-26 | 深圳市盈富在线信息科技有限公司 | Information data processing method and information data processing client |
| CN104463705A (en) * | 2014-12-08 | 2015-03-25 | 广西电网有限责任公司 | Power generation, transmission and utilization energy-saving indicator comprehensive evaluation method used for provincial-level power grid |
| CN104794113A (en) * | 2014-01-16 | 2015-07-22 | 中兴通讯股份有限公司 | Data processing method and device |
-
2016
- 2016-08-24 CN CN201610721006.7A patent/CN107783982B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101339665A (en) * | 2008-08-21 | 2009-01-07 | 金蝶软件（中国）有限公司 | Method and device for automatically creating radar graph |
| CN102324066A (en) * | 2011-08-26 | 2012-01-18 | 积成电子股份有限公司 | Radar chart representation method for early warning and assessment index of power system |
| CN102682408A (en) * | 2012-04-26 | 2012-09-19 | 中国人民解放军海军工程大学 | Comprehensive electric energy quality estimation method based on improved radar graph |
| CN103679386A (en) * | 2013-12-25 | 2014-03-26 | 深圳市盈富在线信息科技有限公司 | Information data processing method and information data processing client |
| CN104794113A (en) * | 2014-01-16 | 2015-07-22 | 中兴通讯股份有限公司 | Data processing method and device |
| CN104463705A (en) * | 2014-12-08 | 2015-03-25 | 广西电网有限责任公司 | Power generation, transmission and utilization energy-saving indicator comprehensive evaluation method used for provincial-level power grid |
Non-Patent Citations (1)
| Title |
|---|
| "基于ＣｏｒｅｌＤＲＡＷ Ｘ６的专题地图统计图表自动化实现";李论;《测绘工程》;20140131;第2-4章 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107783982A (en) | 2018-03-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10147398B2 (en) | Display control method and device | |
| CN110352446A (en) | For obtaining the method and apparatus and its recording medium of image | |
| US9792731B2 (en) | System and method for controlling a display | |
| US20190130647A1 (en) | Display control method and system, and virtual reality device | |
| CN106775233A (en) | Icon method for refreshing and terminal in a kind of terminal | |
| CN107783982B (en) | Data processing method and data processing device | |
| CN114041111A (en) | Handwriting drawing method, apparatus, electronic device, medium, and program product | |
| CN106155833A (en) | A kind of method and apparatus of asynchronous remote copy | |
| CN105320430A (en) | Page information control method and device | |
| CN111045676A (en) | Method and device for generating control interface of Internet of things equipment, storage medium and electronic equipment | |
| CN110458954B (en) | Contour line generation method, device and equipment | |
| CN109613975A (en) | The operating method and device of virtual reality | |
| CN107045447A (en) | The tag displaying method and device of a kind of data object | |
| Zocco et al. | Touchless interaction for command and control in military operations | |
| CN109582939B (en) | Bubble chart display method and device | |
| US20200073679A1 (en) | Objectively measuring and changing visual aesthetics of a graphical user interface of an application | |
| CN111414104A (en) | Electronic map local display method and device | |
| CN107532918B (en) | Navigation using contextual information | |
| US10965930B2 (en) | Graphical user interface for indicating off-screen points of interest | |
| US10042515B2 (en) | Using genture direction to input data into multiple spin dial list boxes | |
| CN111854751B (en) | Navigation target position determining method and device, readable storage medium and robot | |
| US20170165587A1 (en) | Electronic device and method for controlling toy using the same | |
| JP2013235052A5 (en) | Display control apparatus, control method thereof, and program | |
| CN111027543A (en) | Image annotation method and device | |
| CN113176845B (en) | Method and device for displaying history information in history map |
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 | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: 100080 No. 401, 4th Floor, Haitai Building, 229 North Fourth Ring Road, Haidian District, Beijing Applicant after: Beijing Guoshuang Technology Co.,Ltd. Address before: 100086 Cuigong Hotel, 76 Zhichun Road, Shuangyushu District, Haidian District, Beijing Applicant before: Beijing Guoshuang Technology Co.,Ltd. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |