Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Pedigree Analysis

Pedigree Analysis

Time-Series Graph

Time-Series Graph

A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...

Data Collection by Observations

Data Collection by Observations

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...

Lineage Commitment

Lineage Commitment

Commitment is the process whereby stem cells:

Outliers and Influential Points

Outliers and Influential Points

An outlier is an observation of data that does not fit the rest of the data. It is sometimes called an extreme value. When you graph an outlier, it will appear not to fit the pattern of the graph. Some outliers are due to mistakes (for example, writing down 50 instead of 500), while others may indicate that something unusual is happening. Outliers are present far from the least squares line in the vertical direction. They have large "errors," where the "error" or residual is the...

Gene Flow

Gene Flow

Gene flow is the transfer of genes among populations, resulting from either the dispersal of gametes or from the migration of individuals.

You might also read

Related Articles

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

Sort by

Same author

Empowering Communities: Tailored Pandemic Data Visualization for Varied Tasks and Users.

IEEE computer graphics and applications·2025

Same author

Visual Analytics Meets Process Mining: Challenges and Opportunities.

IEEE computer graphics and applications·2025

Same author

UnDRground Tubes: Exploring Spatial Data with Multidimensional Projections and Set Visualization.

IEEE transactions on visualization and computer graphics·2024

Same author

Visual Exploration of Financial Data with Incremental Domain Knowledge.

Computer graphics forum : journal of the European Association for Computer Graphics·2024

Same author

Visual Parameter Space Exploration in Time and Space.

Computer graphics forum : journal of the European Association for Computer Graphics·2024

Same author

Are We There Yet? A Roadmap of Network Visualization from Surveys to Task Taxonomies.

Computer graphics forum : journal of the European Association for Computer Graphics·2024

Same journal

Graph Pattern Matching based reassembly - 3DGPM.

IEEE computer graphics and applications·2026

Same journal

Making Learning Visible: Turning Public Engagement into Evidence for Academic Learning.

IEEE computer graphics and applications·2026

Same journal

LlymX: Multimodal LLM-Augmented XR for Context-Aware Information Access.

IEEE computer graphics and applications·2026

Same journal

Dynamic Gaussian-Based Digital Twin Reconstruction of Articulated Multi-Joint Objects.

IEEE computer graphics and applications·2026

Same journal

Steiner and Poisson Traversal Initializations: Initial Curve Optimization for Geometric Flow-based Surface Filling.

IEEE computer graphics and applications·2026

Same journal

Insight Into the Insight Toolkit.

IEEE computer graphics and applications·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jan 6, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

Capturing and Visualizing Provenance From Data Wrangling.

Christian Bors, Theresia Gschwandtner, Silvia Miksch

IEEE Computer Graphics and Applications

|October 4, 2019

Summary

This summary is machine-generated.

DQProv Explorer enhances data quality management by capturing and visualizing data wrangling provenance. This system helps users understand how changes impact data usability and quality over time.

More Related Videos

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

Related Experiment Videos

Last Updated: Jan 6, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

Area of Science:

Data Science
Information Science

Background:

Effective data quality management is crucial for data trust and usability.
Traditional data wrangling systems often lack sufficient transformation history to assess data usability.
Understanding the impact of data wrangling operations on data quality is essential.

Purpose of the Study:

To present DQProv Explorer, a system for capturing and visualizing provenance in data wrangling operations.
To enable users to comprehend the effects of data wrangling changes on dataset quality.
To provide tools for assessing data usability through detailed provenance tracking.

Main Methods:

Developing a system (DQProv Explorer) to capture workflow and data provenance during data wrangling.
Implementing three distinct visualization components for exploring provenance.
Visualizing the provenance graph, data stream, quality over time, and issue distribution.

Main Results:

DQProv Explorer allows exploration of the provenance graph and data stream.
The system visualizes data quality evolution across a sequence of wrangling operations.
Users can identify error patterns by examining the distribution of issues within the dataset.

Conclusions:

Capturing and visualizing data provenance significantly aids in data quality assessment.
DQProv Explorer empowers users to understand and trust their data by revealing the impact of wrangling processes.
The system facilitates better decision-making regarding data usability and fitness-for-use.