Abstract: A method for generating a chart suggestion list using data present in a data table includes providing the data table, one or more data types of a plurality of cells of the data table and one or more statistics pertaining to the plurality of cells as input to a machine learning model to obtain one or more outputs indicating one or more chart types for the data table, and creating one or more suggested charts based on the indicated chart types. Each of the one or more suggested charts represents at least a subset of the data in the data table. The method also includes generating a chart suggestion list including at least one of the one or more suggested charts.

Abstract: A method for generating a chart suggestion list using data present in a data table includes providing the data table, one or more data types of a plurality of cells of the data table and one or more statistics pertaining to the plurality of cells as input to a machine learning model to obtain one or more outputs indicating one or more chart types for the data table, and creating one or more suggested charts based on the indicated chart types. Each of the one or more suggested charts represents at least a subset of the data in the data table. The method also includes generating a chart suggestion list including at least one of the one or more suggested charts.

Abstract: A method for generating a chart suggestion list using data present in a data table includes providing the data table, one or more data types of a plurality of cells of the data table and one or more statistics pertaining to the plurality of cells as input to a machine learning model to obtain one or more outputs indicating one or more chart types for the data table, and creating one or more suggested charts based on the indicated chart types. Each of the one or more suggested charts represents at least a subset of the data in the data table. The method also includes generating a chart suggestion list including at least one of the one or more suggested charts.

Abstract: A method for generating a chart suggestion list using data present in a data table includes parsing cells of the data table to identify one or more columns and one or more data types of the cells, performing a statistical analysis of the one or more columns to obtain one or more statistics about the one or more columns, and creating one or more suggested charts based on the one or more statistics about the one or more columns and the one or more data types of the cells. Each of the one or more suggested charts represents at least a subset of the data in the data table. The method also includes generating a chart suggestion list including at least one of the one or more suggested charts.

Abstract: A method for generating a chart suggestion list using data present in a data table includes parsing cells of the data table to identify one or more columns and one or more data types of the cells, performing a statistical analysis of the one or more columns to obtain one or more statistics about the one or more columns, and creating one or more suggested charts based on the one or more statistics about the one or more columns and the one or more data types of the cells. Each of the one or more suggested charts represents at least a subset of the data in the data table. The method also includes generating a chart suggestion list including at least one of the one or more suggested charts.

Abstract: Systems and methods for generating visualization data representing network traffic flow in or out of one or more nodes, each node representing the network traffic for one or more web pages. The method includes visualizing data configured to connect the one or more nodes with one or more connectors, each connector configured to connect two nodes, the one or more connectors configured to have a dimension that indicates a number of visits between two nodes. The network traffic capable of being highlighted when a user selects the one or more nodes or connectors.