Timelines - Data Analysis Tool

Timelines - Data Analysis Tool

By Super Jump Pty Ltd

  • Category: Productivity
  • Release Date: 2022-07-05
  • Current Version: 1.5
  • Adult Rating: 4+
  • File Size: 5.63 MB
  • Developer: Super Jump Pty Ltd
  • Compatibility: Requires iOS 15.0 or later.

Description

Analyze human performance anywhere you go with Timelines; easy and powerful data collection at the touch of your fingers. Timelines is built with all the major data collection capabilities of video analysis software but simplified for ease of use on an iOS device. Collect your data live and export it to match up with the video after the event. • 3 Tiers of Data Collection Timelines allows users to dig deeper into their data collection with the inclusion of Clips, Qualifiers and Attributes. Add time-stamped moments to your clips with Qualifiers and then describe these moments further with Attributes. • Versatile and Flexible MarkUp design Data collection done your own way. Timelines allows users to build their MarkUp from a blank canvas or drag and drop from our MacOS editor, Angles, to collect their data using their own designs and style. • Inter-button interactions Capture more data with fewer buttons pushed. No need for in-depth scripting knowledge to make your MarkUp functional as Timelines’ MarkUp design is built for ease. Simply select an action that one button may have on another and click and drag to that button to reduce the number of clicks in your data collection workflows. • Movable Canvas Create MarkUps that guide the user through their data collection steps with actions such as our “Down > Centre”. Users can ensure accurate data collection by moving the canvas with the press of a button; guiding the data collector in exactly the order in which the data should be collected. • Data Export Upon completion of your data collection, simply export the timeline that is created via AirDrop or email to your favorite data visualization tool. Timelines can export files as an Angles Timeline directly into Angles, as a JSON file, or as a CSV.

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