Microsoft Technology Licensing, LLC

Jim Sun

John S Campbell

Samuel C Radakovitz

Christian Canton

Matthew Hart Fichtner

Dongmei Zhang

Yingnong Dang

Xiao Bi Liang

Haidong Zhang

Shusen Liu

Scott Ruble

Systems and methods for charting images and/or attributes of images associated with a spreadsheet are provided. For instance, when an image is associated with a spreadsheet, the image may be treated as a new type of data within the spreadsheet. In some aspects, a plurality of images may be associated with a spreadsheet, e.g., within a single cell or within a range of cells. In some aspects, the images themselves, as well as image data (e.g., pixelated data, etc.), image attributes (e.g., opacity, color palette, resolution, aspect ratio, image dimensions, author, creation date and/or time, file name, tags, file size, GPS location information, etc.), and/or spreadsheet data (e.g., values in cells, user comments, etc.) may be incorporated into a report (e.g., a chart) using a spreadsheet charting function, either automatically or by user selection.

Images on charts

Systems and methods for charting audio files and/or attributes of audio files associated with a spreadsheet are provided. For instance, when an audio file is associated with a spreadsheet, the audio file may be treated as a new type of data within the spreadsheet. In some aspects, a plurality of audio files may be associated with a spreadsheet, e.g., within a single cell or within a range of cells. In some aspects, the audio files themselves, as well as audio data (e.g., modulated data representing soundwaves, etc.), audio attributes (e.g., frequency, amplitude, sampling rate, codec, bitrate, volume, pitch, speed, channel, audio effects, author/artist, creation date and/or time, file name, file size, duration, etc.), and/or spreadsheet data (e.g., values in cells, user comments, etc.) may be incorporated into a report (e.g., a chart) using a spreadsheet charting function, either automatically or by user selection.

Sound on charts

Automatically identifying insights from a dataset and presenting the insights graphically and in natural language text ranked by importance is provided. Different data types and structures in the dataset are automatic recognized and matched with a corresponding specific analysis type. The data is analyzed according to the determined corresponding analysis types, and insights from the analysis are automatically identified. The insights within a given insight type and between insight types are ranked and presented in order of importance in automatically generate charts that visually describe each insight and in natural language text that describes each insight in such a way that it may be understandable to a general audience who may not have a familiarity with statistics.

Automatic insights for spreadsheets

Systems and methods for charting videos and/or attributes of videos associated with a spreadsheet are provided. For instance, when a video is associated with a spreadsheet, the video may be treated as a new type of data within the spreadsheet. In some aspects, a plurality of videos may be associated with a spreadsheet, e.g., within a single cell or a range of cells. In aspects, the videos themselves, as well as video data (e.g., raw pixel data for each video frame, modulated data representing soundwaves of an audio file, etc.), video attributes (e.g., frame rate, aspect ratio, duration, resolution, bits per frame, video size, synchronization data, etc.), frame attributes (e.g., aspect ratio, color space, bitrate, etc.), audio attributes (e.g., pitch, volume, speed, etc.), and/or spreadsheet data (e.g., values in cells, user comments, etc.) may be incorporated into a chart using a spreadsheet charting function, either automatically or by user selection.

Video on charts

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Jim Sun