Information visualization - Computer programs.
Overview
Works: | 25 works in 19 publications in 19 languages |
---|
Titles
A Power BI compendium = answers to 65 commonly asked questions on Power BI /
by:
(Language materials, printed)
Interactive web-based data visualization with R, plotly, and shiny /
by:
(Language materials, printed)
Microsoft Power BI quick start guide : = build dashboards and visualizations to make your data come to life /
by:
(Language materials, printed)
Power BI, Excel and Tableau : = business intelligence clinic : create and learn /
by:
(Language materials, printed)
Analyzing social media networks with NodeXL = insights from a connected world /
by:
(Language materials, printed)
Jumpstart Tableau = a step-by-step guide to better data visualization /
by:
(Language materials, printed)
Tableau your data! : = fast and easy visual analysis with Tableau Software /
by:
(Language materials, printed)
Learning Tableau : = leverage the power of Tableau 9.0 to design rich data visualizations and build fully interactive dashboards /
by:
(Language materials, printed)
Jumpstart Tableau : = a step-by-step guide to better data visualization /
by:
(Language materials, printed)
Gephi cookbook : = over 90 hands-on recipes to master the art of network analysis and visualization with Gephi /
by:
(Language materials, printed)
Pro power BI architecture = sharing, security, and deployment options for microsoft power BI solutions /
by:
(Language materials, printed)
Practical Tableau : = 100 tips, tutorials, and strategies from a Tableau Zen Master /
by:
(Language materials, printed)
Mastering Microsoft Power BI : = expert techniques for effective data analytics and business intelligence /
by:
(Language materials, printed)
Microsoft Power BI complete reference : = bring your data to life with the powerful features of Microsoft Power BI /
by:
(Language materials, printed)
Mastering Tableau 2019.1 : = an expert guide to implementing advanced business intelligence and analytics with Tableau 2019.1 /
by:
(Language materials, printed)
R for data science : = import, tidy, transform, visualize, and model data /
by:
(Language materials, printed)
Show more
Fewer
Subjects