Data visualization and data visualization tools and software

American Journal of Computer Science and Engineering Survey (AJCSES) is a peer review open access journal publishing the research in computer science and engineering survey. Below we have discussed about Data visualization

Data visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data.

In the world of Big Data, data visualization tools and technologies are essential to analyze massive amounts of information and make data-driven decisions.

Data visualization is another form of visual art that grabs our interest and keeps our eyes on the message. When we see a chart, we quickly see trends and outliers. If we can see something, we internalize it quickly. It’s storytelling with a purpose. If you’ve ever stared at a massive spreadsheet of data and couldn’t see a trend, you know how much more effective a visualization can be.

Common general types of data visualization:

• Charts
• Tables
• Graphs
• Maps
• Info graphics
• Dashboards

More specific examples of methods to visualize data:

• Area Chart
• Bar Chart
• Box-and-whisker Plots
• Bubble Cloud
• Bullet Graph
• Cartogram
• Circle View
• Dot Distribution Map
• Gantt Chart
• Heat Map
• Highlight Table
• Histogram
• Matrix
• Network
• Polar Area
• Radial Tree
• Scatter Plot (2D or 3D)
• Stream graph
• Text Tables
• And any mix-and-match combination in a dashboard!

A note on data visualization tools and software

There are dozens of tools for data visualization and data analysis. These range from simple to complex, from intuitive to obtuse. Not every tool is right for every person looking to learn visualization techniques, and not every tool can scale to industry or enterprise purposes. If you’d like to learn more about the options, feel free to read up here or dive into detailed third-party analysis like the Gartner Magic Quadrant.

Also, remember that good data visualization theory and skills will transcend specific tools and products. When you’re learning this skill, focus on best practices and explore your own personal style when it comes to visualizations and dashboards. Data visualization isn’t going away any time soon, so it’s important to build a foundation of analysis and storytelling and exploration that you can carry with you regardless of the tools or software you end up using.

American Journal of Computer Science and Engineering Survey announces papers for the upcoming issue release.  Interested can submit your manuscripts as an e-mail attachment to the Editorial Office at computereng@imedpub.org

Media contact:

Maegan Smith

Managing Editor

American Journal of Computer Science and Engineering Survey (IPACSES)

Mail ID: computersci@scholarlymed.com

WhatsApp no: + 1-504-608-2390