Auto-generated Visual Representations of Time-Series Data for Better Time-series Understanding

A computing device configured to:

• receive a prompt containing at least one time series of data;
• extract, using at least one machine learning model, the at least one time series of data from the prompt;
• generate, using the at least one machine learning model based on the at least one time series of data, at least one plot representative of the at least one time series of data;
• and
• apply the at least one machine learning model to the prompt and the at least one plot to generate an output responsive to the prompt.

A non-transitory computer-readable medium comprising program instructions executable by at least one processor to perform functions comprising:

• receiving a prompt containing at least one time series of data;
• extracting, using at least one machine learning model, the at least one time series of data from the prompt;
• generating, using the at least one machine learning model based on the at least one time series of data, at least one plot representative of the at least one time series of data;
• and
• applying the at least one machine learning model to the prompt and the at least one plot to generate an output responsive to the prompt.