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Description
NodeXL serves as a versatile template for Microsoft® Excel® (versions 2007, 2010, 2013, and 2016) compatible with Windows operating systems (XP, Vista, 7, 8, and 10), allowing users to input a network edge list directly into a workbook and effortlessly generate a network graph with the click of a button, alongside a comprehensive summary report, all within the user-friendly Excel® interface. Users have the option to customize the graph's visual style, as well as zoom, scale, and pan for better viewing. It also enables the calculation of essential graph metrics, dynamic filtering of vertices and edges, and rearranging the graph's layout to enhance clarity. Additionally, users can identify clusters of interconnected vertices. By opting for NodeXL Pro, users can access a 12-month license that unlocks advanced features, including the calculation of sophisticated graph metrics and the ability to import and export graphs in various file formats. The software provides integration with major social networks like Twitter, Facebook, Flickr, YouTube, and others, facilitating seamless data collection from these platforms. Furthermore, it allows for the automation of network graph creation and collection processes. For those who utilize Excel® on Windows, NodeXL Basic is available for immediate download, while NodeXL Pro offers further enhancements for a more robust experience. This makes NodeXL an invaluable tool for anyone interested in analyzing and visualizing complex network relationships.
Description
Power and Precision is an independent software tool specifically designed for conducting statistical power analysis, which helps users determine the appropriate sample size for their upcoming research projects. With its remarkably intuitive interface, the software offers various resources that aid in comprehending the nuances of power analysis. Users can effortlessly generate tables, graphs, and detailed reports with just a click of a button. An interactive guide is available to lead users through every phase of the power analysis process. It provides a versatile set of tools that allow users to visualize effect sizes and grasp how factors like alpha, effect size, and sample size interact. The generated reports not only serve as educational resources but also can be incorporated into the statistical sections of research proposals or grant applications. Additionally, including the graphical outputs in presentations or grant submissions can effectively support the rationale behind the chosen sample size. This comprehensive approach ensures that users can present their findings clearly and convincingly.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
$749 per year
Free Trial
Free Version
Pricing Details
$595 one-time payment
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Social Media Research Foundation
Founded
2010
Country
United States
Website
www.nodexlgraphgallery.org
Vendor Details
Company Name
Biostat
Website
www.power-analysis.com
Product Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Product Features
Statistical Analysis
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization