Sentence examples for for data visualization from inspiring English sources

Suggestions(5)

for data visualization purposes

for data generation

for data integrity

for data entry

for data exchange

The phrase "for data visualization" is correct and usable in written English.
It is generally used to describe the process of displaying data in visual form, for example graphs, charts, or maps. For example, if you were writing about a software program designed to help scientists analyze data, you could write: "The software includes an intuitive data visualization tool for quickly creating charts and graphs with the raw data."

Exact(60)

Visually is the #1 destination for data visualization on the web.

The Guardian

DL Visualize is designed to provide an integrated environment for data visualization and analysis.

Computer Physics Communications

As a pathway diagram, the full representation of biological information is visually preserved, which is ideal for providing a meaningful context for data visualization.

F1000Research

Marc Maleh rejoined R/GA, New York, part of the Interpublic Group of Companies, in a new post, group director for data visualization capability.

The New York Times

An application is built for data visualization.

Journal of Big Data

Matlab like plotting library: matplotlib for data visualization.

Chemistry Central Journal

The former was a tremendously advanced computer made especially for data visualization.

TechCrunch

In this study, supervised extensions of Isomap and GTM were used for data visualization.

Journal of Cheminformatics

The VG Studio Max 2.1 software was used for data visualization and process.

Materials for Renewable and Sustainable Energy

We propose a software based on jScope [1] called WebScope for data visualization.

Fusion Engineering and Design

Tools for data visualization and exploration available through the web interface are also provided.

Progress in Materials Science

More suggestions(9)

for data retention

for data collection

for data flow

for data processing

for data annotation

for data loss

for data storage

for data gathering

for data support

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