Generating object time series from data objects
Systems and methods are presented for representing non-numerical data objects in an object time series. An object time series of can be created by establishing one or more associations, each association including a mapping of at least one point in time with one or more objects that include properties and values. Visual representation of an object time series may include displaying non-numerical values associated with objects in the object time series in association with respective points in time.
1. A computer implemented method comprising:
by a computer system comprising one or more computer hardware processors and one or more storage devices,
parsing, according to a first parser definition, first data in a first format to generate first modified data different from the first data, the first data from a first data source;
generating, from at least some of the first modified data, an event object;
parsing, according to a second parser definition, second data in a second format to generate a non-event object, the non-event object corresponding to a data container for properties, and wherein a property of the properties comprises a property type corresponding to a first property value which has a non-numerical value, the second data from a second data source;
determining, from a second property of at least one of the event object or the non-event object, an association between the event object and the non-event object;
accessing the first property value of the non-event object;
generating an object time series based at least on a plurality of points in time, wherein a first point in time of the plurality of points in time is associated with at least the event object; and
causing presentation of a visual representation of the object time series including representations of the event object with the first point in time, the non-event object with at least one respective point in time, and the non-numerical value, and wherein the visual representation of the object time series further comprises each object of the event object and the non-event object as visually connected with at least one respective point in time on the visual representation.
2. The computer implemented method of claim 1 , wherein parsing the second data further comprises:
identifying, from the second parser definition, the property type for at least some of the second data.
3. The computer implemented method of claim 1 , further comprising:
receiving user input data comprising a user defined link type, wherein determining the association between the event object and the non-event object is based at least on the user defined link type.
4. The computer implemented method of claim 1 , further comprising:
receiving user input data comprising a user defined object type and a user defined property type associated with the user defined object type, wherein at least one of the event object or the non-event object corresponds to the user defined object type, the at least one of the event object or the non-event object comprising the user defined property type.
5. The computer implemented method of claim 1 , further comprising:
determining that the event object is further associated with another non-event object; and
causing presentation of a graph visual representation including a representation of the non-event object as linked with the another non-event object.
6. A non-transitory computer storage medium storing computer executable instructions that when executed by a computer hardware processor perform operations comprising:
parsing, according to a first parser definition, first data in a first format to generate first modified data different from the first data, the first data from a first data source;
generating, from at least some of the first modified data, an event object;
parsing, according to a second parser definition, second data in a second format to generate a non-event object, the non-event object corresponding to a data container for properties, and wherein a property of the properties comprises a property type corresponding to a first property value which has a non-numerical value, the second data from a second data source;
determining, from a second property of at least one of the event object or the non-event object, an association between the event object and the non-event object;
accessing the first property value of the non-event object;
generating an object time series based at least on a plurality of points in time, wherein a first point in time of the plurality of points in time is associated with at least the event object; and
causing presentation of a visual representation of the object time series including representations of the event object with the first point in time, the non-event object with at least one respective point in time, and the non-numerical value, and wherein the visual representation of the object time series further comprises each object of the event object and the non-event object as visually connected with at least one respective point in time on the visual representation.
7. The non-transitory computer storage medium of claim 6 , wherein parsing the second data further comprises: identifying, from the second parser definition, the property type for at least some of the second data.
8. The non-transitory computer storage medium of claim 6 , wherein the operations further comprise:
receiving user input data comprising a user defined link type, wherein determining the association between the event object and the non-event object is based at least on the user defined link type.
9. The non-transitory computer storage medium of claim 6 , wherein the operations further comprise:
receiving user input data comprising a user defined object type and a user defined property type associated with the user defined object type, wherein at least one of the event object or the non-event object corresponds to the user defined object type, the at least one of the event object or the non-event object comprising the user defined property type.
10. The non-transitory computer storage medium of claim 6 , wherein the operations further comprise:
determining that the event object is further associated with another non-event object; and
generating a graph visual representation including representations of the non-event object as linked with the another non-event object.
11. The non-transitory computer storage medium of claim 6 , wherein a data type of the property comprises at least one of: a text type or a number type.
12. A system comprising:
a plurality of data sources comprising a first data source and a second data source, wherein first data of the first data source is stored in a first format, the first format different from a second format of second data of the second data source;
at least one computer hardware processor; and
data storage comprising instructions executable by the at least one computer hardware processor to cause the system to:
parse, according to a first parser definition, the first data in the first format to generate first modified data different from the first data;
generate, from at least some of the first modified data, an event object;
parse, according to a second parser definition, the second data in the second format to generate a non-event object, the non-event object corresponding to a data container for properties, and wherein a property of the properties comprises a property type corresponding to a first property value which has a non-numerical value;
determine, from a second property of at least one of the event object or the non-event object, an association between the event object and the non-event object;
access the first property value of the non-event object;
generate an object time series based at least on a plurality of points in time, wherein a first point in time of the plurality of points in time is associated with at least the event object; and
cause presentation of a visual representation of the object time series including representations of the event object with the first point in time, the non-event object with at least one respective point in time, and the non-numerical value, and wherein the visual representation of the object time series further comprises each object of the event object and the non-event object as visually connected with at least one respective point in time on the visual representation.
13. The system of claim 12 , wherein parsing the second data further comprises:
identifying, from the second parser definition, the property type for at least some of the second data.
14. The system of claim 12 , wherein the instructions executable by the at least one computer hardware processor further cause the system to:
receive user input data comprising a user defined link type, wherein determining the association between the event object and the non-event object is based at least on the user defined link type.
15. The system of claim 12 , wherein the instructions executable by the at least one computer hardware processor further cause the system to:
receive user input data comprising a user defined object type and a user defined property type associated with the user defined object type, wherein at least one of the event object or the non-event object corresponds to the user defined object type, the at least one of the event object or the non-event object comprising the user defined property type.
16. The system of claim 12 , wherein the instructions executable by the at least one computer hardware processor further cause the system to:
determine that the event object is further associated with another non-event object; and
cause presentation of a graph visual representation including a representation of the non-event object as linked with the another non-event object.
17. The system of claim 12 , wherein a data type of the property comprises at least one of: a text type or a number type.