Abstract: Methods, and systems, including computer programs encoded on computer storage media for generating machine learning models. A method includes receiving, through a GUI, user selection of a mode button displayed in the GUI, wherein the mode button, when selected, causes the GUI to display a first set of user-selectable buttons that correspond to respective machine learning routines, and when not selected, causes the GUI to display a second set of user-selectable buttons that correspond to respective machine learning sub-routines; in response to receiving user selection of the mode button, displaying the first set of user-selectable buttons; receiving user selection of one or more of the first set of user-selectable buttons; displaying a graphical representation of a machine learning model defined by machine learning routines corresponding to the user selected one or more of the first set of user-selectable buttons and generating a file representing the machine learning model.

Abstract: Disclosed is a method, according to a first embodiment of the present disclosure, comprising obtaining a first image of the whole of a back seat; obtaining a second image of the whole of a cushion seat; obtaining deep learning information used for analyzing the images of the back seat and cushion seat; determining a problem area from the first image and second image using the deep learning information; obtaining a detailed image of the problem area; and determining a wrinkle area using the detailed image.

Abstract: A plurality of vertices corresponding to a mesh of a current frame that is positionally tracked is divided into a plurality of vertex groups based on a predetermined constant integer. The plurality of vertex groups includes a first vertex group. A first position of a current vertex in the first vertex group is estimated based on a second position of a reference vertex in a reference frame that is different from the current frame. An estimation error indicating a difference between the reference vertex in the reference frame and the current vertex in the first vertex group is determined. A prediction mode of vertices in the first vertex group is encoded based at least on the estimation error between the reference vertex and the current vertex. Prediction information of the vertices in the first vertex group is generated based on the encoded prediction mode of the vertices of the first vertex group.

Abstract: A computer-implemented method and data display system for identifying and visualizing differences between a first set comprising one or more text items and a second set comprising one or more text items is disclosed. The method includes extracting a collection of named entities from the first and second sets of one or more text items, generating a composite graph structure from the collection of named entities, the composite graph structure configured to display differences between the first and second set of text items and then displaying spatially the composite graph structure.

Abstract: A system and method for monitoring performance of an industrial process includes an input port for receiving signals representative of one or more performance parameters generated by the industrial process, a user interface including a display and a controller that is operably coupled with the input port and the user interface. The controller is configured to repeatedly receive signals over time via the input port representative of the one or more performance parameters of the industrial process and to generate a plurality of snapshots, wherein each snapshot includes a graphical representation of the one or more performance parameters of the industrial process at a corresponding time. The controller is configured to generate an animatable heat map including two or more of the plurality of snapshots arranged temporally and to display the animatable heat map on the display.

Abstract: A magnetic field measuring apparatus according to an example embodiment includes: an external container; an internal container storing a liquid refrigerant, disposed inside the external container, and including a neck portion having a first diameter and a body portion having a second diameter greater than the first diameter, wherein a space between the internal container and the external container is maintained in a vacuum state; a SQUID sensor module mounting plate disposed below the internal container; a plurality of SQUID sensor modules mounted below the SQUID sensor module mounting plate; and a 4K heat shielding portion formed of a conductive mesh disposed to surround the SQUID sensor module mounting plate and the plurality of SQUID sensor modules.

Abstract: A wireless device for facilitating visualization of a state of a patient being monitored by monitoring equipment. The device includes a wireless network interface, a camera, and a touch-sensitive display. A processor is in communication with the wireless network interface, the camera, a memory and the touch-sensitive display over a system bus. The device wirelessly receives data representative of a state of a first physiological parameter of a patient over a time interval. The visualization data includes a plurality of visualization data values, each of the visualization data values being generated by a data visualization module of the data visualization server from multiple values of machine data produced by the monitoring equipment in connection with monitoring the first physiological parameter. A first portion of a monitoring screen displayed by the device includes a graphical representation of the visualization data over the time interval along with or more range indicators.

Abstract: An electronic device and a non-transitory computer-readable storage medium are provided. The electronic device includes a storage module and a processing module. The storage module is configured to store at least one program instruction. The processing module is coupled to the storage module, and is configured to load the at least one program instruction to perform the following steps: parsing a plurality of cells in an analysis area in a data sheet to identify each of the cells as a formula cell or a non-formula cell; classifying the formula cells so that the formula cells having similar formula expressions fall into the same formula group; analyzing a formula structure of the formula expressions of each formula group to output at least one recommended chart option.

Abstract: A robot programming device including a storage unit configured to store two or more types of programming elements each graphically representing a function constituting a control program for a robot, an input unit configured to receive an operation by a user, and a program generator configured to generate the control program when the programming elements stored in the storage unit are selected and arranged by using the input unit. The programming elements include at least one editable programming element in which the function can be edited with a character string input that is input by using the input unit.

Abstract: Generating a vector representation of a hand-drawn sketch is described. To do so, the sketch is segmented into different superpixel regions. Superpixels are grown by distributing superpixel seeds throughout an image of the sketch and assigning unassigned pixels to a neighboring superpixel based on pixel value differences. The border between each pair of adjacent superpixels is then classified as either an active or an inactive boundary, with active boundaries indicating that the border corresponds to a salient sketch stroke. Vector paths are generated by traversing edges between pixel vertices along the active boundaries. To minimize vector paths included in the vector representation, vector paths are greedily generated first for longer curves along active boundaries until each edge is assigned to a vector path. Regions encompassed by vector paths corresponding to a foreground superpixel are filled to produce a high-fidelity vector representation of the sketch.

Abstract: A system and method for analysing a data set based on ranking of observations is disclosed. The method includes uploading the data set by a user and selecting one or more significant variables in the data set that interests the user and represents a priority & focus of a study. The method further includes automatically selecting an appropriate statistical technique based on the type of the variable for performing a correlation analysis for measuring an interdependence of one or more variables associated with the data set and assessing a magnitude of the relationship between the one or more variables. The method further includes performing a correlation for generating one or more correlation results. The method further includes returning a list of key analysis to the user, based on the one or more significant variables and the one or more correlation results.

Abstract: A calibrator having an enhanced user interface (UI) is provided. The calibrator outputs, over an output terminal of the calibrator, an electrical signal. The calibrator presents, on a display of the calibrator, a graphical indication associated with an electrical quantity of the electrical signal. The calibrator or a controller thereof synchronizes a color of the graphical indication with a color emitted by a light indicator associated with the output terminal. The calibrator presents, together with the graphical indication, a signal property GUI element that is selectable and representative of a signal property associated with the electrical signal. In response to user selection of the signal property GUI element, the calibrator displays an editable GUI element permitting user modification of the signal property and the calibrator modifies the electrical signal according to user input.

Abstract: Ways to post-process a decoded mesh and modify received triangles per patch to improve the mesh geometry are described herein. Since the transmitted geometry contains the high-resolution surface information, the information is able to be applied to the mesh reconstruction operation to generate triangles that are aligned with the original surface. Methods include generating new triangles by splitting the received triangles' edges according to their size, by inserting new vertices at the triangle's centroids, by splitting the vertices, and by performing marching cubes in surfaces defined by the geometry images.

Abstract: A graph database interface system can facilitate code-free user interaction with a graph database. A graph database including a plurality of nodes connected via a set of relationships can be accessed. The nodes are elements of a dataset of a set of datasets. The relationships have a relationship type of a set of relationship types. The relationships between nodes of a given dataset and an additional dataset have a given relationship type associated with the given dataset and the additional dataset. A graphical interface can be generated to visually represent the sets of datasets and relationship types. A user input can be received via the graphical interface indicating a first dataset. A query of the graph database can be generated based on the user input. A response to the query can be received. The response can be displayed as a table via the graphical interface.

Abstract: This disclosure is directed to a method and apparatus for displaying an expression in a virtual scene. The method includes: displaying a virtual scene; displaying an expression selection region at a first target position in the virtual scene in response to a drag operation on an expression addition icon; and displaying the first target expression in the virtual scene in response to a selection operation on a first target expression in a plurality of first candidate expressions.

Abstract: A static electricity visualization system capable of visually confirming the level of the measured static electricity is provided. The static electricity visualization system comprises a first measuring unit for measuring a static electricity level detected at a first position of a measurement target and comprising a first mark, a photographing unit for generating a photographed image by photographing the measurement target, a processor for recognizing a first mark in the photographed image and calculating coordinates of the first mark on the photographed image, and an output unit for outputting a static electricity visualization image that visualizes the static electricity level measured by the first measuring unit in a first mode, wherein the static electricity visualization image comprises a color corresponding to a level of static electricity measured by the first measuring unit on the coordinates of the first mark of the photographed image.

Abstract: Network communication systems and methods implementing micro network subsystems for securely delivering personal electronic information across wired and/or wireless media are disclosed. Software-defined networking (SDN) is used to segment a provider network into a plurality of personal micro networks each established for an object that is cryptographically bound to or cryptographically associated with a living being. When multiple providers implementing different workflows and binding different objects to the same person are connected to the communication system, an interoperable network database stores the information and compiles, searches, and distributes the information to/from multiple providers.

Abstract: A spatial LSM tree apparatus includes: a blockchain configured of a plurality of data blocks each storing point data distributed over an entire spatial area; a memory unit including a component table storing information about a memory component storing a first index of a most recently stored point data in the blockchain and all components of a spatial LSM tree indexing the point data to cover the entire spatial area; and a disk unit storing a secondary index for the point data in chronological order stored in the blockchain through a plurality of disk components formed in a hierarchical structure among a plurality of levels.

Abstract: A display control device displays a result that is provided by evaluating driving of a vehicle that is executed by a driver for each evaluation item and includes a control unit that displays, on a display device, a radar chart where a display group that includes the evaluation item is provided as an item thereof and a score rate of the display group is provided as a value of the item.

Abstract: A processing apparatus for processing information relating an analysis, includes a display controller that causes a display device to display first information, which is information about each substance in regard to the analysis of a sample, and second information which is information about each substance group including a plurality of the different substances in regard to the analysis, wherein the display controller displays the first information and the second information to be switchable to each other or displays the first information such that a display and a non-display of the second information are switchable.

Abstract: An information processing device that displays, on a screen, cards associated with a series of respective processes performed on data and that defines a flow of the series of processes by connecting the cards by first lines, the information processing device includes processing circuitry configured to receive an operation performed by a user, perform, when an operation for connecting the cards by second lines that represent synchronization of parameters is received, a setting for allowing the parameters of the respective processes associated with the plurality of cards connected by the second lines to be synchronized, and make, when a parameter of one of the cards is changed out of the plurality of cards in which the setting for allowing the parameters to be synchronized has been performed, a same change on the parameters of the respective processes associated with the plurality of cards connected by the second lines.

Abstract: The invention includes an algorithmic method for dynamically computing complex relationships among objects of an underlying functional system. The invention includes a method to algorithmically determine a set of functional locations in n-dimensional functional space of a set of elements of a functional system by electronically representing a set of data entities in a database system, the database system comprising a logical data model for structuring data sets from which functional information can be derived, using the logical data model to associate a set of characteristics with a reference point in the functional information system, selecting a functional positioning algorithm, and wherein the functional positioning algorithm executes a set of steps that takes as input a set of characteristics and returns as output a set of locations in n-dimensional functional space.

Abstract: Aspects of the subject disclosure may include, for example, a method including collecting performance data associated with a communication network operating at a venue, providing the performance data for the communication network to a performance map graphical user interface, where the performance map graphical interface presents a plurality of discrete polygons and a plurality of graphical keys, and where the plurality of graphical keys are superimposed onto the plurality of polygons associated with a plurality of zones associated with the venue, detecting a first performance attribute associated with a first zone of the plurality of zones associated with the venue exceeding a threshold according to a first graphical key of the plurality of graphical keys that is superimposed onto a first discrete polygon of the plurality of discrete polygons, and triggering a notification according to the detecting the first performance exceeding the threshold. Other embodiments are disclosed.

Abstract: In feature value extraction processing step, feature values are extracted from time-series vibroacoustic data in equipment in operation. In machine learning diagnosis step, accumulated are feature values corresponding to normal equipment-operation-state and general measurement data on equipment. Probability distribution model related to correlation between general measurement data and feature values corresponding to normal equipment-operation-state and constructed through machine learning is fed with general-measurement data and feature values extracted in feature value extraction processing step to calculate degree of anomaly based on probability distribution model.

Abstract: Implementations of the subject matter described herein relate to generating animated infographics from static infographics. A computer-implemented method comprises: extracting visual elements of a static infographic; determining, based on the visual elements, a structure of the static infographic at least indicating a layout of the visual elements in the static infographic; and applying a dynamic effect to the visual elements based on the structure of the static infographic to generate an animated infographic.

Abstract: Systems and methods for one-click payments are disclosed. A method may include a backend for a financial institution: receiving, from a user electronic device, enrollment of a user in a payments process; generating a token comprising an identification of an API exposed to the backend; communicating the token to the user electronic device; receiving, from a content provider, enrollment of the content provider in the payments process; receiving, at the API, an identifier for the content provider, a cost for content provided by the content provider, and the user identifier; transferring the cost from the user account to the content provider account; and notifying the content provider of completion of the transfer, wherein the content provider is configured to make the content available to the user electronic device after completion of the transfer.

Abstract: A method and network node for flexible indication of resources in LTE-M using bitmaps are disclosed. According to one aspect, a method includes indicating to the wireless device a set of reserved resources for machine communications in compatibility with a broadband radio access technology sharing resources in a time frame and frequency band that encompasses the set of reserved resources, the indicating using a two level bitmap operating in the time-domain, a first bitmap level of the two level bitmap indicating a first set of subframes containing reserved resources, and a second bitmap level of the two level bitmap indicating reserved symbols within an indicated subframe.

Abstract: Data visualization processes can utilize machine learning algorithms applied to visualization data structures to determine visualization parameters that most effectively provide insight into the data, and to suggest meaningful correlations for further investigation by users. In numerous embodiments, data visualization processes can automatically generate parameters that can be used to display the data in ways that will provide enhanced value. For example, dimensions can be chosen to be associated with specific visualization parameters that are easily digestible based on their importance, e.g. with higher value dimensions placed on more easily understood visualization aspects (color, coordinate, size, etc.). In a variety of embodiments, data visualization processes can automatically describe the graph using natural language by identifying regions of interest in the visualization, and generating text using natural language generation processes.

Abstract: A computing device receives a natural language input specifying search terms directed to a dataset. The device parses the input into tokens and executes queries against a search index to retrieve a plurality of labeled trend events. Each labeled trend event has a respective chart identifier. The device determines a respective composite score for each labeled trend event and individually assigns each labeled trend event to a respective group. For each group, the device sorts the respective labeled trend events within the respective group according to respective composite scores, determines a respective final score for each group, and ranks the groups according to one or more determined final scores. The device retrieves data corresponding to a first subset of line charts having the respective chart identifiers of the ranked groups, generates the first subset of line charts, and displays one or more line charts of the first subset with annotation.

Abstract: Implementations are disclosed for facilitating visual programming of machine learning state machines. In various implementations, one or more graphical user interfaces (GUIs) may be rendered on one or more displays. Each GUI may include a working canvas on which a plurality of graphical elements corresponding to at least some of a plurality of available logical routines are manipulable to define a machine learning state machine. One or more of the available logical routines may include logical operations that process data using machine learning model(s). Two or more at least partially redundant logical routines that include overlapping logical operations may be identified, and overlapping logical operations of the two or more at least partially redundant logical routines may be merged into a consolidated logical routine. At least some of the logical operations that were previously downstream from the overlapping logical operations may be logically coupled with the consolidated logical routine.

Abstract: A reinforcement learning based approach to the problem of query object localization, where an agent is trained to localize objects of interest specified by a small exemplary set. We learn a transferable reward signal formulated using the exemplary set by ordinal metric learning. It enables test-time policy adaptation to new environments where the reward signals are not readily available, and thus outperforms fine-tuning approaches that are limited to annotated images. In addition, the transferable reward allows repurposing of the trained agent for new tasks, such as annotation refinement, or selective localization from multiple common objects across a set of images. Experiments on corrupted MNIST dataset and CU-Birds dataset demonstrate the effectiveness of our approach.

Abstract: Field variable tone mapping is performed for 360 content. An image capture device includes an image sensor and a processor. The image sensor obtains a hyper-hemispherical image and the processor performs local tone mapping (LTM) on a first area of the hyper-hemispherical image and performs global tone mapping (GTM) on a second area of the hyper-hemispherical image to obtain a processed image. The processor may be configured to display, store, output, or transmit the processed image.

Abstract: Disclosed herein are system, method, and device embodiments for a data bridge adapter in a data integration platform that models any application programming interface as an entity-relationship model. This technique allows an individual using an integration platform to map and transform the entity-relationship model without having to create any custom code. The user may specify target parameters as part of an ETL process, and the entity relationship model may allow appropriate data and API calls to be generated to pass the data to the specified target. By creating an entity-relationship model from any API, the technique further supports versioning, schema change resolution, compatibility detection and other features. Furthermore, data visualization software may use the entity-relationship model to allow users to explore and analyze the data represented in the entity-relationship model.

Abstract: Disclosed herein is a method of measuring demand in a market. The method gathers data representing events defining relationships between producers and institutions. Each event includes information defining at least a time of event and a type of event. The method determines a trajectory for each producer. Based on the trajectory for each producer, the method generates a dynamic graph specifying the relationships between producers and institutions for a hyperparameter time period. From the dynamic graph, the method generates a projection graph specifying only the relationships between institutions. The method determines a trajectory score for each producer and a performance score for each institution. The trajectory score for a producer is a summation of a rating of each institution that has a relationship with that producer. The performance score for an institution is a summation of a delta trajectory score of each producer that has a relationship with that institution.

Abstract: Methods are presented herein for a reduced state machine that describes nodes and relationship dynamics representing real network elements (networking devices and software processes) in a computer/data network, and abstracted logical items. Logical states of networking features of the network elements are reflected in the graph, while configuration data is stored for completeness. A method called a “Versioner Algorithm” is provided to record the temporal history of a node and its state over time within the node's metadata itself, while recorded relationships represent logical relations between observed nodes. A method is also provided to time-travel back to observe a historical view of the network. Further still, a method is provided to a difference of two historical topologies and return that data in human-readable or machine consumable form.

Abstract: Methods, systems, and computer program products for extracting query-related temporal information from unstructured text documents are provided herein. A computer-implemented method includes obtaining at least one user query comprising one or more temporal components; converting at least a portion of the at least one user query into one or more logic form representations; mapping at least a portion of the one or more logic form representations to one or more portions of at least one source of unstructured text data; extracting temporal information, specific to the at least one user query, from one or more portions of the at least one source of unstructured text data based on the mapping; generating at least one response to the at least one user query based on the extracted temporal information; and performing one or more automated actions based on the at least one generated response.

Abstract: Systems and methods for visualizing and manipulating graph databases in accordance embodiments of the invention are disclosed. In one embodiment of the invention, a graph database manipulation device including a processor and a memory configured to store a graph database manipulation application, wherein the graph database manipulation application configures the processor to obtain a graph database, wherein the graph database includes a set of nodes and a set of edges, identify a region of interest within a graph described by the graph database, construct a feature space from the region of interest, and extract explanatory variables from the feature space.

Abstract: Medical services are offered by various facilities near a patient's residence. The number of facility options continues to grow and the patients can now receive various different health care services. One example method of operation provides receiving updated patient information at a patient profile server, identifying a patient medical profile stored in memory associated with the updated patient information, and updating a patient status based on the updated patient information received, and modifying a patient schedule associated with the at least one patient status and storing the patient schedule in the patient medical profile.

Abstract: Audio translation system includes a feature extractor and a style transfer machine learning model. The feature extractor generates for each of a plurality of source voice files one or more source voice parameters encoded as a collection of source feature vectors, and generates for each of a plurality of target voice files one or more target voice parameters encoded as a collection of target feature vectors. The style transfer machine learning model trained on the collection of source feature vectors for the plurality of source voice files and the collection of target feature vectors for the plurality of target voice files to generate a style transformed feature vector.

Abstract: A method for evaluating environment and surroundings of a pedestrian passageway, used in an electronic device, obtains a position information of a target area, and obtains a streetscape image corresponding to the position information of the area. The method further inputs the streetscape image into a trained convolutional neural network, makes the trained convolutional neural network carry out a convolution calculation of the streetscape image to generate a feature vector for classifying a number of target objects in the streetscape image, and outputs the feature vector. The feature vector is input into a full convolution neural network to apply a certain color to a number of pixels belonging to a same target object, and outputs the streetscape image with colored target objects.

Abstract: Provided are systems, methods, and computer program products for representing a plurality of events in an interactive graphical user interface. The system includes at least one processor programmed or configured to parse at least one textual document to identify a plurality of events related to at least one entity, determine a temporal parameter for each event of the plurality of events based on the at least one textual document, order the plurality of events into a sequence based on the temporal parameter for each event, and generate an interactive graphical user interface comprising a visual representation of the plurality of events on a user device based on the sequence, the visual representation of the plurality of events linked to a textual document of the at least one textual document.

Abstract: The present invention generally relates to the field of automated functional testing, and, more particularly, to a method and system for validation of calculation code against calculation specification. Currently the validation is done manually which is time consuming and effort intensive. Embodiments of present disclosure provide an automated method of validation by generating a schema from the calculation specification, retrieving data based on the schema, executing the intermediate calculations, and comparing the result with the output from the calculation code. The method requires minimal manual input and is a fast, simple, resilient and low-code/no-code technique that can be extended to support any type of calculation code and calculation specifications with minimal or no change.

Abstract: Methods and systems described herein may retrieve a data lineage associated with a first computing system comprising a plurality of services and data elements. The data lineage may indicate a plurality of interrelationships between the plurality of services and data elements. Based on the data lineage, a visualization of the first computing system may be generated. Based on the one or more interrelationships between a first data element and the plurality of services and data elements, one or more services and data elements affected by the change to the first data element may be identified. Based on the one or more services and data elements affected by the change to the first data element, the visualization of the first computing system to indicate the impact to the first computing system.

Abstract: A computer system can perform a semi-supervised machine learning processes to cluster a plurality of entities within a population based on their features and associated labels. The computer system can generate visualization data representing the clusters of entities and associated labels for displaying on a user interface. A user can review the clustering of entities and use the user interface to add or modify the labels associated with a particular entity or set of entities. The computer system can use the user's feedback to update the labels and then re-determine the clustering of entities using the semi-supervised machine learning process with the updated labels as input. As such, the computer system can use the user's feedback to improve the accuracy of the machine learning model without requiring a larger amount of labeled input data.

Abstract: A user interface (UI), data structures and algorithms facilitate programming, analyzing, debugging, embedding, and/or modifying problems that are embedded or to be embedded on an analog processor (e.g., quantum processor), increasing computational efficiency and/or accuracy of problem solutions. The UI provides graph representations (e.g., source graph, target graph and correspondence therebetween) with nodes and edges which may map to hardware components (e.g., qubits, couplers) of the analog processor. Characteristics of solutions are advantageously represented spatially associated (e.g., overlaid or nested) with characteristics of a problem. Characteristics (e.g., bias state) may be represented by color, pattern, values, icons. Issues (e.g., broken chains) may be detected and alerts provided.

Abstract: Provided is a data management system including an environment data acquisition unit configured to acquire, from an environment sensor, environment data obtained by measuring a production environment where a product is produced from a raw material, a sensor selection unit configured to select a specific sensor from among measurement sensors, each of which is configured to measure a production target serving as a target of the production, according to a relevance with respect to the environment sensor, and a parameter setting unit configured to set a measurement parameter in the specific sensor based on the environment data.

Abstract: Some embodiments relate to resource usage tracking. A resource monitor may monitor resources of a network. A database may record resource usage. A client program may provide resource in a graphical display at a variety of specificity levels. A user may select portions of the graphical display to adjust information presented.

Abstract: A method for identifying aircraft faults, comprising: receiving aircraft health dataset comprising plurality of maintenance identifiers which each identify aircraft fault; storing diagnostics database storing plurality of part identifiers which each identify part of aircraft which is possible cause of generation of at least one maintenance identifier; generating graph of plurality of maintenance identifiers and plurality of edges in which maintenance identifiers are connected to one another by edge if maintenance identifiers are identified by common part identifier in diagnostics database; extracting clique from graph, clique comprising plurality of maintenance identifiers and respective plurality of edges of graph; determining intersection between at least two edges of clique; identifying candidate part identifier which is common to intersecting edges of clique, candidate part identifier identifying part of aircraft which is possible cause of generation of at least some of maintenance identifiers of clique;

Abstract: A test and measurement instrument has a user interface configured to allow a user to provide one or more user inputs, a display to display results to the user, a memory, one or more processors configured to execute code to cause the one or more processors to receive a waveform array containing waveforms resulting from sweeping one or more parameters from a set of parameters, recover a clock signal from the waveform array, generate a waveform image for each waveform, render the waveform images into video frames to produce an image array of the video frames, select at least some of the video frames to form a video sequence, and play the video sequence on a display.

Abstract: A method includes displaying, via a graphical user interface (GUI), a first graphical representation of a dataset on a display screen in communication with the data processing hardware, the first graphical representation representing a statistical summary of the dataset. The method includes receiving, via the GUI, an indication of a user interaction. In response to the received indication of the user interaction, the method includes displaying, via the GUI, a second graphical representation of the dataset on the display screen, the second graphical representation representing a plurality of statistical summaries of the dataset, each respective statistical summary of the plurality of statistical summaries computed for a respective time period of a plurality of time periods.