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5-Number Summary01:04

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In a dataset, the 5-number summary includes the minimum data value, the data value of the first quartile, the median data value or data value of the second quartile, the data value of the third quartile, and the maximum data value. These 5 data values can be visualized as a box and whisker plot.
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The discharge summary is crucial as it enables a smooth transition from a healthcare facility to a patient's home or another care setting. This critical document facilitates seamless continuity of care, ensuring patients receive the necessary support and attention.
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How Data are Classified: Numerical Data00:59

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Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
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How Data are Classified: Categorical Data01:11

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A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
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Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
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Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
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PlotsOfData-A web app for visualizing data together with their summaries.

Marten Postma1, Joachim Goedhart1

  • 1Swammerdam Institute for Life Sciences, Section of Molecular Cytology, van Leeuwenhoek Centre for Advanced Microscopy, University of Amsterdam, Amsterdam, the Netherlands.

Plos Biology
|March 28, 2019
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Summary
This summary is machine-generated.

This study introduces PlotsOfData, a free, open-source web app for visualizing raw data and statistical summaries. It enhances data transparency and interpretation through customizable, interactive plots with confidence intervals.

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Area of Science:

  • Data Science
  • Scientific Visualization
  • Statistical Graphics

Background:

  • Raw data reporting enhances transparency and allows independent evaluation.
  • Data summaries in graphs aid interpretation but can obscure underlying data.
  • Accessible tools for advanced data visualization are needed.

Purpose of the Study:

  • To democratize state-of-the-art data visualization of raw data and statistical summaries.
  • To provide an open-source web application for interactive data exploration.
  • To enable users to customize visualizations for optimal presentation and interpretation.

Main Methods:

  • Development of a freely available, open-source web app using R/Shiny.
  • Implementation of the ggplot2 package for plot generation.
  • Inclusion of options for displaying raw data, statistical summaries, and 95% confidence intervals (95CIs).

Main Results:

  • The web app, PlotsOfData, allows users to select data display options and add statistical summaries.
  • Users can include 95% confidence intervals for visual inference.
  • Adjustable layer visibility enables tailored presentation of raw data and summaries.

Conclusions:

  • PlotsOfData democratizes advanced data visualization techniques for researchers.
  • The tool promotes transparency and aids interpretation through interactive plotting.
  • Accessible visualization of raw data and summaries facilitates broader scientific understanding.