Data Visualization Using Machine Learning Models

A non-transitory computer readable medium having program instructions stored therein that are executable by a computing system to perform operations comprising:

• receiving an image of a desired graphical chart to be rendered based on data stored in a database;
• applying a machine learning model to the image to determine one or more query parameters associated with content present in the image;
• and
• rendering the desired graphical chart on a user interface, wherein the rendering includes sending, to the database, a database query specifying the determined one or more query parameters to retrieve the data from the database for depiction in the rendered graphical chart.

A computing system, comprising:

• one or more processors;
• memory having program instructions stored therein that are executable by the one or more processors to cause the computing system to perform operations comprising:
• storing a plurality of chart templates for rendering a plurality of charts;
• receiving a request to render a graphical chart from data stored in a database, wherein the request includes an image of a desired graphical chart;
• applying an image encoding model to the image of the desired graphical chart to determine a type of graphical chart associated with the desired graphical chart;
• and
• based on the determined type of graphical chart, selecting one of the chart templates for execution to cause rendering of the desired graphical chart.