Intelligent data contextualization
Techniques for contextualizing utility visualization patterns in a utility infrastructure environment are described herein. A utility meter data dashboard associated with a type of event may be displayed. A selection of a portion of a first utility visualization displayed in the utility meter data dashboard is received, the portion being associated with a subset of utility data. One or more previously used utility visualizations may be determined from among a plurality of additional utility visualizations. One or more candidate utility visualizations associated with the type of event may be determined from among the previously used utility visualizations. A ranked list of one or more candidate utility visualizations may be displayed. A second utility visualization may be displayed based at least in part on a selection from the ranked list.
1. A method comprising:
causing presentation of a utility meter data dashboard associated with a type of utility event, the utility meter data dashboard including a first utility visualization of a first type of chart representing utility data;
receiving a selection of a portion of the first utility visualization, the portion being associated with a subset of the utility data;
determining, based at least in part on the selection, a plurality of additional utility visualizations associated with the subset of the utility data;
determining, from among the plurality of additional utility visualizations, one or more previously used utility visualizations;
determining, from among the one or more previously used utility visualizations, one or more candidate utility visualizations that are associated with the type of utility event;
ranking the one or more candidate utility visualizations that are associated with the type of utility event;
displaying, based at least in part on the ranking, a ranked list of the one or more candidate utility visualizations;
receiving a selection of at least a second utility visualization, from among the ranked list of the one or more candidate utility visualizations; and
displaying in the utility meter data dashboard, based at least in part on the selection, the second utility visualization.
2. The method of claim 1 , wherein the ranking is based at least in part on user feedback rating the one or more candidate utility visualizations.
3. The method of claim 2 , wherein the user feedback includes tags assigned to the one or more previously used utility visualizations, the tags indicating at least one of:
the type of utility event to which respective ones of the one or more previously used utility visualizations relate;
a type question that respective ones of the one or more previously used utility visualizations relate were used to answer; or
a role of a user that used respective ones of the one or more previously used utility visualizations.
4. The method of claim 3 , wherein the tags further indicate at least one of:
the one or more previously used utility visualizations having been previously successful in discovery of the type of utility event; or
a series of visualizations of the one or more previously used utility visualizations as being successful in discovery of the type of utility event.
5. The method of claim 1 , further comprising causing presentation of one or more user comments describing context for previous use of the one or more candidate utility visualizations.
6. The method of claim 1 , wherein the ranking is based at least in part on use patterns, the use patterns including:
a frequency of use of the one or more previously used utility visualizations that are associated with the type of utility event;
a context of use of the one or more previously used utility visualizations that are associated with the type of utility event;
a pattern of use of the one or more previously used utility visualizations that are associated with the type of utility event; or
a demographics of use of a particular population base associated with utility meters.
7. The method of claim 1 , wherein the type of utility event comprises one or more of a fraud event, a fault event, or a false positive meter event.
8. The method of claim 1 , wherein the one or more previously used utility visualizations were used by one or more users to view the subset of the utility data or other utility data having a characteristic in common with the subset of the utility data.
9. A system, comprising:
one or more processors; and
one or more non-transitory computer-readable media storing computer-executable instructions that, when executed on the one or more processors, cause the one or more processors to perform actions comprising:
causing presentation of a utility meter data dashboard associated with a type of utility event, the utility meter data dashboard including a first utility visualization of a first type of chart representing utility data;
receiving a selection of a portion of the first utility visualization, the portion being associated with a subset of the utility data;
determining, based at least in part on the selection, a plurality of additional utility visualizations associated with the subset of the utility data;
determining, from among the plurality of additional utility visualizations, one or more previously used utility visualizations;
determining, from among the one or more previously used utility visualizations, one or more candidate utility visualizations that are associated with the type of utility event;
ranking the one or more candidate utility visualizations that are associated with the type of utility event;
displaying, based at least in part on the ranking, a ranked list of the one or more candidate utility visualizations;
receiving a selection of at least a second utility visualization, from among the ranked list of the one or more candidate utility visualizations; and
displaying, based at least in part on the selection, the second utility visualization.
10. The system of claim 9 , wherein the ranking is based at least in part on user feedback rating the one or more candidate utility visualizations.
11. The system of claim 10 , wherein the user feedback includes tags assigned to the one or more previously used utility visualizations, the tags indicating at least one of:
the type of utility event to which respective ones of the one or more previously used utility visualizations relate;
a type question that respective ones of the one or more previously used utility visualizations relate were used to answer; or
a role of a user that used respective ones of the one or more previously used utility visualizations.
12. The system of claim 11 , wherein the tags further indicate at least one of:
the one or more previously used utility visualizations having been previously successful in discovery of the type of utility event; or
a series of visualizations of the one or more previously used utility visualizations as being successful in discovery of the type of utility event.
13. The system of claim 9 , the actions further comprising:
causing presentation of one or more user comments describing context for previous use of the one or more candidate utility visualizations.
14. The system of claim 9 , wherein the ranking is base at least in part on use patterns, the use patterns including:
a frequency of use of the one or more previously used utility visualizations that are associated with the type of utility event;
a context of use of the one or more previously used utility visualizations that are associated with the type of utility event;
a pattern of use of the one or more previously used utility visualizations that are associated with the type of utility event; or
a demographics of use of a particular population base associated with utility meters.
15. A method comprising:
receiving a selection of a portion of a first utility visualization of a type of chart representing utility data, the portion being associated with a subset of the utility data;
determining, based at least in part on the selection, a plurality of additional utility visualizations associated with the subset of the utility data;
determining, from among the plurality of additional utility visualizations, one or more previously used utility visualizations;
determining, from among the one or more previously used utility visualizations, one or more candidate utility visualizations that are associated with a type of utility event;
ranking the one or more candidate utility visualizations that are associated with the type of utility event;
displaying, based at least in part on the ranking, a ranked list of the one or more candidate utility visualizations;
receiving a selection of at least a second utility visualization, from among the ranked list of the one or more candidate utility visualizations; and
displaying, based at least in part on the selection, the second utility visualization.
16. The method of claim 15 , wherein the ranking is based at least in part on user feedback rating the one or more candidate utility visualizations.
17. The method of claim 16 , wherein the user feedback includes tags assigned to the one or more previously used utility visualizations, the tags indicating at least one of:
the type of utility event to which respective ones of the one or more previously used utility visualizations relate;
a type question that respective ones of the one or more previously used utility visualizations relate were used to answer; or
a role of a user that used respective ones of the one or more previously used utility visualizations.
18. The method of claim 17 , wherein the tags further indicate at least one of:
the one or more previously used utility visualizations having been previously successful in discovery of the type of utility event; or
a series of visualizations of the one or more previously used utility visualizations as being successful in discovery of the type of utility event.
19. The method of claim 15 , wherein the ranking is base at least in part on use patterns, the use patterns including:
a frequency of use of the one or more previously used utility visualizations that are associated with the type of utility event;
a context of use of the one or more previously used utility visualizations that are associated with the type of utility event;
a pattern of use of the one or more previously used utility visualizations that are associated with the type of utility event; or
a demographics of use of a particular population base associated with utility meters.
20. The method of claim 15 , wherein the type of utility event comprises one or more of a fraud event, a fault event, or a false positive meter event.