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What is Oriana?

Oriana for Windows is tailored to handle the specific statistics required for circular data, which includes angles or directions in degrees, as well as time-related data like hours of the day, days of the week, and months of the year. This software is equipped with a variety of analytical capabilities that cover essential statistics such as mean vector calculations and confidence intervals, along with single sample distribution tests, including Rayleigh's test, and both pairwise and multisample evaluations like the Watson-Williams F-Test and chi-squared tests, in addition to assessing pairwise correlations. Furthermore, it provides diverse graphical representations, such as rose diagrams, circular histograms, and wind roses, which aid in identifying significant patterns in the data. For those engaged in the analysis of directional data measured in degrees or cyclical phenomena observed across different time frames, the need for specialized statistical approaches becomes clear. Hence, Oriana acts as a vital resource for individuals aiming to conduct in-depth analyses of this nature and to present their results in a comprehensible manner. By harnessing the capabilities of Oriana, researchers can extract meaningful trends and insights from their circular datasets, paving the way for informed decision-making and further exploration in their respective fields. Ultimately, it is an indispensable tool for anyone working with circular data.

What is IBM SPSS Statistics?

IBM® SPSS® Statistics software is utilized by diverse clients to address specific business challenges within various industries, ultimately enhancing the quality of decision-making processes. The platform encompasses sophisticated statistical analysis, an extensive collection of machine learning algorithms, capabilities for text analysis, open-source integration, compatibility with big data, and effortless application deployment. Notably, its user-friendly interface, adaptability, and scalability ensure that SPSS remains accessible to individuals with varying levels of expertise. Furthermore, it is well-suited for projects ranging from small-scale tasks to complex initiatives, enabling users to uncover new opportunities, boost operational efficiency, and reduce potential risks. In addition, the software's robust features make it a valuable tool for organizations looking to enhance their analytical capabilities.

Media

Media

Integrations Supported

Integrations Supported

Alteryx
Askia
IBM SPSS Amos
IBM SPSS Modeler
JMP Statistical Software
PolyAnalyst
Rapid Insight
SOCRadar Extended Threat Intelligence
ShareCRF
Snipplr
SurveyXact
TAS Insight Engine
TIMi
data.world
icCube

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$99/month
IBM® SPSS® Statistics has flexible pricing plans. See which option is right for you—from monthly subscriptions to perpetual licenses and special pricing for students and educators, there is an option for everyone.
Free Trial Offered?

Supported Platforms

Windows

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

Kovach Computing Services

Company Location

United Kingdom

Company Website

www.kovcomp.co.uk

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/spss-statistics

Categories and Features

Graphing

Not specified

Statistical Analysis

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Statistical Simulation

Categories and Features

Big Data

Collaboration
Data Mining
Predictive Analytics

Data Analysis

Not specified

Data Management

Not specified

Data Modeling

Not specified

Data Preparation

Not specified

Data Science

Not specified

Graphing

Not specified

Predictive Analytics

Not specified

Statistical Analysis

Association Discovery
Compliance Tracking
File Storage
Statistical Simulation

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