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Motivation  Research & Exploratory Analysis Driven Time-data Visualization ( read-tv ) is an open source R Shiny application for visualizing irregularly and regularly spaced longitudinal data.  read-tv  provides unique filtering and changepoint analysis (CPA) features. The need for these analyses was motivated by research of surgical work-flow disruptions in operating room settings. Specifically, for the analysis of the causes and characteristics of periods of high disruption-rates, which are associated with adverse surgical outcomes.    Materials and Methods    read-tv  is a graphical application, and the main component of a package of the same name.  read-tv  generates and evaluates code to filter and visualize data. Users can view the visualization code from within the application, which facilitates reproducibility. The data input requirements are simple, a table with a time column with no missing values. The input can either be in the form of a file, or an in-memory dataframe– which is effective for rapid visualization during curation.    Results  We used  read-tv  to automatically detect surgical disruption cascades. We found that the most common disruption type during a cascade was training, followed by equipment.    Discussion    read-tv  fills a need for visualization software of surgical disruptions and other longitudinal data. Every visualization is   reproducible  , the exact source code that  read-tv  executes to create a visualization is available from within the application.  read-tv  is   generalizable  , it can plot any tabular dataset given the simple requirements that there is a numeric, datetime, or datetime string column with no missing values. Finally, the tab-based architecture of  read-tv  is easily   extensible  , it is relatively simple to add new functionality by implementing a tab in the source code.    Conclusion    read-tv  enables quick identification of patterns through customizable longitudinal plots; faceting; CPA; and user-specified filters. The package is available on GitHub under an MIT license.

Research and Exploratory Analysis Driven—Time-data Visualization (read-tv) software