Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Performing a Simple Data Analysis using MS-Excel Function01:17

Performing a Simple Data Analysis using MS-Excel Function

798
Microsoft Excel offers a suite of functions and tools ideal for statistical analysis, making it accessible to students and researchers. This article outlines fundamental Excel functions pivotal for data analysis.
SUM: This function calculates the total sum of a range of values. It's the foundation for aggregating data, essential for determining overall trends and totals in datasets.
AVERAGE: It computes the mean value of a given set of numbers, providing a quick insight into the central...
798
Overview of Microsoft Excel as a Data Analysis Tool01:13

Overview of Microsoft Excel as a Data Analysis Tool

1.3K
Microsoft Excel is a cornerstone tool for data analysis and statistical operations, offering a wide array of functionalities to manage, analyze, and visualize data efficiently. Recognized for its versatility, Excel facilitates the performance of basic to complex statistical operations, serving as an indispensable asset for analysts, researchers, and students alike. Excel's significance in data analysis emanates from its spreadsheet environment, where data can be organized in rows and...
1.3K
Data Reporting and Recording01:24

Data Reporting and Recording

5.2K
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...
5.2K
Flow Sheet01:17

Flow Sheet

2.4K
Flowsheets are valuable tools in nursing documentation. They enable healthcare professionals to efficiently record and monitor various patient assessments and measurements in a consolidated format.
Here's a closer look at the examples of flowsheets commonly used by nurses:
Graphic Sheet Documentation:
2.4K
Data Collection by Observations01:08

Data Collection by Observations

14.2K
Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
14.2K
Microsoft Excel: Plotting Mean, SD, and SE01:18

Microsoft Excel: Plotting Mean, SD, and SE

844
In Microsoft Excel, plotting the mean along with standard deviation (SD) and standard error (SE) helps visualize data variability and reliability. To plot these values, follow these steps:
First, calculate the mean, SD, and SE of your data. The mean is obtained using the formula `=AVERAGE(range)`, while SD can be calculated with `=STDEV.P(range)` for a population or `=STDEV.S(range)` for a sample. SE is calculated as `=SD/SQRT(n)`, where `n` is the sample size.
To plot these values, use a bar...
844

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A divalent nanoparticle vaccine confers robust protective immunity against serotype O FMDV and SVA in pigs.

Veterinary microbiology·2026
Same author

Hemodynamics Beyond Ischemic Zone Underlies Early Neurological Deterioration in Minor Stroke with Large Vessel Occlusion.

Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics·2026
Same author

Leveraging Multi-Source Data Fusion Approach for Fine-Grained Affective-Appraisal Analysis in TPD-Oriented Online Professional Learning.

Behavioral sciences (Basel, Switzerland)·2026
Same author

Investigating the Genetic and Molecular Basis of Melanin and Edible Quality in <i>Auricularia cornea</i>.

Journal of fungi (Basel, Switzerland)·2026
Same author

Transcriptomic analysis of response to high-temperature stress in cotton.

Plant physiology and biochemistry : PPB·2026
Same author

Suppressor tRNA-mediated conditionally replicating live vaccine effectively protects pigs against Seneca Valley virus challenge.

NPJ vaccines·2026

Related Experiment Video

Updated: Dec 6, 2025

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.6K

Calliope: Automatic Visual Data Story Generation from a Spreadsheet.

Danqing Shi, Xinyue Xu, Fuling Sun

    IEEE Transactions on Visualization and Computer Graphics
    |October 13, 2020
    PubMed
    Summary
    This summary is machine-generated.

    Calliope automatically generates visual data stories from spreadsheets, overcoming technical barriers in data analysis and visualization. This system simplifies creating engaging narrative visualizations for better understanding and recall.

    More Related Videos

    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
    10:58

    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

    Published on: January 2, 2011

    10.4K
    Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects
    06:36

    Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects

    Published on: October 18, 2024

    1.3K

    Related Experiment Videos

    Last Updated: Dec 6, 2025

    Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
    09:43

    Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

    Published on: November 22, 2019

    6.6K
    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
    10:58

    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

    Published on: January 2, 2011

    10.4K
    Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects
    06:36

    Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects

    Published on: October 18, 2024

    1.3K

    Area of Science:

    • Data Visualization
    • Human-Computer Interaction
    • Computational Storytelling

    Background:

    • Narrative visualizations like data stories aid understanding and memorization.
    • Generating visual data stories is challenging due to technical barriers in data analysis, visualization, and scripting.
    • Existing tools often require significant user expertise and are inefficient.

    Purpose of the Study:

    • Introduce Calliope, a novel system for automatic visual data story generation from spreadsheets.
    • Facilitate easy revision of generated stories through an online editor.
    • Address the technical difficulties in creating data-oriented storytelling.

    Main Methods:

    • Calliope employs a logic-oriented Monte Carlo tree search algorithm to explore data.
    • It progressively generates and logically organizes story pieces (data facts).
    • Data fact importance is measured using information theory; facts are visualized and captioned automatically.

    Main Results:

    • The system successfully generates visual data stories from spreadsheet inputs.
    • Evaluation through examples, experiments, and expert interviews demonstrated Calliope's effectiveness.
    • The proposed technique significantly benefits efficient visual data story generation.

    Conclusions:

    • Calliope offers an automated and efficient solution for creating visual data stories.
    • The system lowers the technical barrier for users to engage in data-oriented storytelling.
    • Calliope facilitates the creation and revision of narrative visualizations.