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Average Ratings 0 Ratings
Description
JMP is a data analysis tool compatible with both Mac and Windows that merges robust statistical capabilities with engaging interactive visualizations.
The software simplifies the process of importing and analyzing data through its user-friendly drag-and-drop interface, interconnected graphs, an extensive library of advanced analytic features, a scripting language, and various sharing options, enabling users to explore their datasets more efficiently and effectively.
Initially created in the 1980s to leverage the potential of graphical user interfaces for personal computing, JMP continues to evolve by incorporating innovative statistical techniques and specialized analysis methods from diverse industries with each new version released. Furthermore, John Sall, the founder of the organization, remains actively involved as the Chief Architect, ensuring the software stays at the forefront of analytical technology.
Description
Utilize open-source machine learning tools and data visualization techniques to create dynamic data analysis workflows in a visual format, supported by a broad and varied collection of resources. Conduct straightforward data assessments accompanied by insightful visual representations, and investigate statistical distributions through box plots and scatter plots; for more complex inquiries, utilize decision trees, hierarchical clustering, heatmaps, multidimensional scaling, and linear projections. Even intricate multidimensional datasets can be effectively represented in 2D, particularly through smart attribute selection and ranking methods. Engage in interactive data exploration for swift qualitative analysis, enhanced by clear visual displays. The user-friendly graphic interface enables a focus on exploratory data analysis rather than programming, while intelligent defaults facilitate quick prototyping of data workflows. Simply position widgets on your canvas, link them together, import your datasets, and extract valuable insights! When it comes to teaching data mining concepts, we prefer to demonstrate rather than merely describe, and Orange excels in making this approach effective and engaging. The platform not only simplifies the process but also enriches the learning experience for users at all levels.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon Aurora
Yes
Amazon Redshift
Yes
Azure SQL Database
Yes
IBM Db2
Yes
IBM SPSS Statistics
Yes
JSON
Yes
Ledge
Yes
MATLAB
Yes
MariaDB
Yes
Microsoft Access
Yes
Integrations
Amazon Aurora
No
Amazon Redshift
No
Azure SQL Database
No
IBM Db2
No
IBM SPSS Statistics
No
JSON
No
Ledge
No
MATLAB
No
MariaDB
No
Microsoft Access
No
Pricing Details
$1320/year/user
$1320/year/user. Bulk discounts available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
JMP Statistical Discovery
Founded
1989
Country
United States
Website
www.jmp.com
Vendor Details
Company Name
University of Ljubljana
Country
Slovenia
Website
orange.biolab.si
Product Features
Dashboard
Annotations
No
Data Source Integrations
Yes
Functions / Calculations
Yes
Interactive
Yes
KPIs
Yes
OLAP
No
Private Dashboards
Yes
Public Dashboards
Yes
Scorecards
No
Themes
No
Visual Analytics
Yes
Widgets
Yes
Data Analysis
Data Discovery
Yes
Data Visualization
Yes
High Volume Processing
Yes
Predictive Analytics
Yes
Regression Analysis
Yes
Sentiment Analysis
Yes
Statistical Modeling
Yes
Text Analytics
Yes
Data Cleansing
Address/ZIP Code Cleaning
Yes
Charting
Yes
Data Consolidation / ETL
Yes
Data Mapping
Yes
Multi Data Format Support
Yes
Phone/Email Validation
No
Raw Data Ingestion
Yes
Sample Testing
Yes
Validation / Matching / Reconciliation
No
Data Discovery
Contextual Search
Yes
Data Classification
Yes
Data Matching
Yes
False Positives Reduction
Yes
Self Service Data Preparation
Yes
Sensitive Data Identification
Yes
Visual Analytics
Yes
Data Mining
Data Extraction
Yes
Data Visualization
Yes
Fraud Detection
Yes
Linked Data Management
Yes
Machine Learning
Yes
Predictive Modeling
Yes
Semantic Search
Yes
Statistical Analysis
Yes
Text Mining
Yes
Data Preparation
Collaboration Tools
Yes
Data Access
Yes
Data Blending
Yes
Data Cleansing
Yes
Data Governance
Yes
Data Mashup
Yes
Data Modeling
Yes
Data Transformation
Yes
Machine Learning
Yes
Visual User Interface
Yes
Data Visualization
Analytics
Yes
Content Management
No
Dashboard Creation
Yes
Filtered Views
Yes
OLAP
No
Relational Display
Yes
Simulation Models
Yes
Visual Discovery
Yes
Predictive Analytics
AI / Machine Learning
Yes
Benchmarking
Yes
Data Blending
Yes
Data Mining
Yes
Demand Forecasting
Yes
For Education
Yes
For Healthcare
Yes
Modeling & Simulation
Yes
Sentiment Analysis
Yes
Qualitative Data Analysis
Annotations
Yes
Collaboration
Yes
Data Visualization
Yes
Media Analytics
Yes
Mixed Methods Research
Yes
Multi-Language
Yes
Qualitative Comparative Analysis
Yes
Quantitative Content Analysis
Yes
Sentiment Analysis
Yes
Statistical Analysis
Yes
Text Analytics
Yes
User Research Analysis
Yes
Statistical Analysis
Analytics
Yes
Association Discovery
Yes
Compliance Tracking
Yes
File Management
Yes
File Storage
Yes
Forecasting
Yes
Multivariate Analysis
Yes
Regression Analysis
Yes
Statistical Process Control
Yes
Statistical Simulation
Yes
Survival Analysis
Yes
Time Series
Yes
Visualization
Yes
Product Features
Data Mining
Data Extraction
No
Data Visualization
No
Fraud Detection
No
Linked Data Management
No
Machine Learning
No
Predictive Modeling
No
Semantic Search
No
Statistical Analysis
No
Text Mining
No
Data Visualization
Analytics
No
Content Management
No
Dashboard Creation
Yes
Filtered Views
No
OLAP
No
Relational Display
No
Simulation Models
No
Visual Discovery
Yes
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No