A method including receiving a spatial query on spatial data. The spatial query has a spatial query extent including a sub-portion of the spatial data. A projection type is selected for the spatial query. A framebuffer is created for the selected projection type. Vertex buffers are established to hold a geometry of the selected projection type. The vertex buffers are passed from a CPU to a GPU. A spatial geometry of the spatial query extent is rendered into the framebuffer by projecting feature vertex data for features that fall at least partly within the spatial query extent into the vertex buffers. Rendering generates rendered framebuffer pixel values. Pixel values of the rendered framebuffer are retrieved as bytes on the CPU. A spatial query result is processed that includes or uses the pixel values.

The present invention provides a data processing method and an electronic terminal. The electronic terminal obtains target data that includes at least one data item, converts the target data into a data image by using a data visualization technology, and then sets the data image as wallpaper, where the data image includes at least one graphic element, and the graphic element is in a one-to-one correspondence with the data item. The target data is user data, and may include operation event information of operating the electronic terminal by a user, or information that is associated with a user account and that is based on at least one network platform, so as to automatically generate the wallpaper, show the user data to the user by using the wallpaper, and improve user experience.

A social media platform provides a map-based graphical user interface (GUI) with multiple geographically anchored icons that are selectable to trigger playback of respective galleries of ephemeral messages. Each of the plurality of location-based ephemeral galleries comprises media content contributed by multiple different users. The ephemeral galleries are compiled based on geotag data associated with respective ephemeral messages submitted by multiple users to be publicly viewable via the map-based GUI. Two or more different types of galleries are represented in the map-based GUI by different, visually distinct types of gallery icon.

A visualization device includes a processor for carrying out a first displaying process of displaying, on a display device, a first screen indicating power consumption of a whole of an equipment group in each of periods included in a period group, a second displaying process of displaying, on the display device, a second screen indicating a cycle time of each of pieces of equipment included in the equipment group in a particular period, and a third displaying process of displaying, on the display device, a third screen indicating a cycle time of each of processes carried out with use of a particular piece of equipment in the particular period.

A system and method for detecting anomalies in very large datasets is disclosed. The method includes calculating statistics for data elements in a data set over a range of time periods. These statistics are arranged into a 2D array and analyzed using a machine learning algorithm to detect anomalous regions. The method also includes steps of analyzing time series of the data based on detected anomalous regions, correcting any errors in the datasets, and storing the corrected values in a separate database to maintain data integrity.

Methods and systems for presenting time series for analysis. A method may receive a first input defining a metric that indicates a relationship between a first and a second time series that are each associated with at least a first data object of a plurality of data objects, generate a first plot depicting the metric as determined from the first and the second time series, receive, via the user interface, a second input of a selection of a second data object of the plurality of data objects, determine, via an ontology, a relationship of the second data object with a third and a fourth time series that, respectively, are associated with series types that match series types associated with the first and the second time series, and generate and display, in the user interface, a second plot depicting the metric as determined from the third and the fourth time series.

Methods and systems for presenting time series for analysis. A method includes presenting a first visualization of summary information for an initial data set of a plurality of batches, presenting a filtered data set of the initial data set having a first batch identifier associated with a first batch and the second batch identifier associated with a second batch, executing a time series connector including transmitting a request to a time series application, the request comprising the first batch identifier, the second batch identifier, and the time series configuration data. The method further includes causing presentation of a user interface comprising a chart including a first plot for first time series data for the first batch identifier and a second plot for second time series data for the second batch identifier, the chart configured to the time series configuration data, and the first plot is aligned to the second plot.

Systems and techniques that facilitate electronic generation of three-dimensional quantum circuit diagrams are provided. In various embodiments, a system can comprise a data component that can access qubit topology data characterizing a quantum computing device. In various aspects, the system can further comprise a rendering component that can render a three-dimensional quantum circuit diagram based on the qubit topology data. In various instances, the qubit topology data can indicate which qubits of the quantum computing device are coupled together. In various cases, the rendering component can render the three-dimensional quantum circuit diagram by generating a two-dimensional qubit configuration model of the quantum computing device based on which qubits of the quantum computing device are coupled together, by extruding one or more qubit lines three-dimensionally outward from the two-dimensional qubit configuration model, and by rendering one or more quantum gates on the one or more qubit lines.

Various implementations of the present disclosure relate to style transfer. In some implementations, a computer-implemented method comprises: obtaining a target object having a first style, a style of the target object being editable; obtaining a reference image including a reference object; obtaining a second style of the reference object, the second style of the reference object being extracted from the reference image; and applying the second style to the target object.

Embodiments of the present disclosure relate to a data analysis system that may receive data comprising a plurality of raw data items from one or more data sources, such as a monitoring agent located in a monitored network. The received data may be scored using one or more scoring rules and/or algorithms, with raw data items satisfying a score threshold designated as “data item leads.” Raw data items associated with a data item lead may be searched and displayed to the user via an interactive user interface. The data analysis system may be used to execute searches and additional enrichments against the received raw data items. The data analysis system may group received raw data items based upon shared attribute values. The data analysis system may be used to categorize received data and construct timelines, histograms, and/or other visualizations based upon the various attributes of the raw data items.