A method for performing view displaying on a table, a device for performing view displaying on a table, and an electronic device are provided. The method includes: receiving an editing instruction of a user on a target image bar in a target view, where the target view is generated based on target data in a preset data table; and editing the target image bar based on the editing instruction.

A method for performing view displaying on a table, a device for performing view displaying on a table, and an electronic device are provided. The method includes: receiving an editing instruction of a user on a target image bar in a target view, where the target view is generated based on target data in a preset data table; and editing the target image bar based on the editing instruction.

Aspects of the present disclosure relate to input text management. Input text can be received from a user. A set of key elements can be extracted from the input text. A determination can be made whether the user is mapped to an existing cluster. In response to determining that the user is mapped to an existing cluster, a structured table mapping key elements to text modifications can be referenced. The input text can be modified according to the structured table mapping key elements to text modifications, wherein the existing cluster is associated with a text modification scheme within the structured table, wherein the text modification scheme includes a first mapping of key elements to text modifications.

Aspects of the present disclosure relate to input text management. Input text can be received from a user. A set of key elements can be extracted from the input text. A determination can be made whether the user is mapped to an existing cluster. In response to determining that the user is mapped to an existing cluster, a structured table mapping key elements to text modifications can be referenced. The input text can be modified according to the structured table mapping key elements to text modifications, wherein the existing cluster is associated with a text modification scheme within the structured table, wherein the text modification scheme includes a first mapping of key elements to text modifications.

Embodiments facilitate selection and assignment of a known user model, based upon input comprising table images of original data. A table engine receives the image and performs pre-processing (e.g., rasterization, Optical Character Recognition, coordinate representation) thereupon to identify image entities. After filtering original numerical data, a similarity (e.g., a distance) is calculated between an image entity and a dimension member of the known user model. Based upon this similarity, the table engine selects and assigns the known user model to the incoming tables images, generating a file representing table columns and rows. This file is received at the UI of an analytics platform, which in turn populates the model with data of the user (rather than the original data) via an API. Embodiments may be particularly valuable in allowing a user to rapidly generate multi-dimensional tables comprising their own data, based upon raw table images received from an external party.

Embodiments facilitate selection and assignment of a known user model, based upon input comprising table images of original data. A table engine receives the image and performs pre-processing (e.g., rasterization, Optical Character Recognition, coordinate representation) thereupon to identify image entities. After filtering original numerical data, a similarity (e.g., a distance) is calculated between an image entity and a dimension member of the known user model. Based upon this similarity, the table engine selects and assigns the known user model to the incoming tables images, generating a file representing table columns and rows. This file is received at the UI of an analytics platform, which in turn populates the model with data of the user (rather than the original data) via an API. Embodiments may be particularly valuable in allowing a user to rapidly generate multi-dimensional tables comprising their own data, based upon raw table images received from an external party.

Systems, methods, and computer-readable media for triggering table entries characterizing workflow-related communications occurring between workflow participants are disclosed. The systems and methods may involve presenting a table via a display, the table containing rows and columns defining cells, the rows and cells being configured to manage respective roles of the workflow participants; presenting on the display at least one active link for enabling workflow participants to join in a video or an audio communication; logging in memory, characteristics of the communication including identities of the workflow participants who joined in the communication; and generating an object associated with the table, the object containing the characteristics of the communication logged in memory.

Systems, methods, and computer-readable media for triggering table entries characterizing workflow-related communications occurring between workflow participants are disclosed. The systems and methods may involve presenting a table via a display, the table containing rows and columns defining cells, the rows and cells being configured to manage respective roles of the workflow participants; presenting on the display at least one active link for enabling workflow participants to join in a video or an audio communication; logging in memory, characteristics of the communication including identities of the workflow participants who joined in the communication; and generating an object associated with the table, the object containing the characteristics of the communication logged in memory.

The technology disclosed relates to systems and methods for device-dependent display of an article from a PDF file. The article can have multiple columns. The system can use a library to render the article from the PDF file. The rendering can include bounding boxes positioned at on-page coordinates that can include one or more images and multiple text blocks of glyphs. The system can partition the text blocks and images in two or more columns using dynamically adjusted valleys between columns. The system can set a reading order of the article after rendering. The system can merge and split text blocks to form paragraphs of text. The system includes logic to infer semantic information about typographic roles of the paragraphs from at least the font information. The system can cause display of the article in a device-dependent format using the semantic information and the reading order.

A data storage system instantiates a graph data structure to store platform-agnostic atomic data units of organization-owned content in a multiplatform computing environment. Each atomic data unit can be accessed by any platform in the multiplatform computing environment and may be included in or referenced by any document, object, or other platform-specific data structure.