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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

Value Boxes serve as a valuable feature for smaller datasets where understanding the precise values is crucial. When activated, each node displays its corresponding value prominently near it. However, for slightly larger datasets where displaying value boxes on every node could lead to visual clutter, tooltips provide a convenient way to access a node's value as needed. In cases where tooltips do not provide enough detail, crosshairs offer a straightforward method for exploring a range of values. For extremely large datasets, where discerning a node's value requires significant zoom, the option to magnify specific points alleviates the strain of trying to focus. Additionally, incorporating scroll bars enhances the overall navigation experience. The preview window not only helps users track their current zoom level but also serves as a tool to adjust the scroll position efficiently. This combination of features ensures that users can interact with data effectively, regardless of the dataset's size.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Aurora
Amazon Redshift
Azure SQL Database
FACS
Google Sheets
Hive
IBM Db2
IBM SPSS Statistics
Impala
MATLAB
MariaDB
Microsoft Access
Microsoft Excel
MySQL
PostgreSQL
SAP HANA
SAS Analytics Pro
SAS Visual Analytics
SAS Viya
Teradata QueryGrid

Integrations

Amazon Aurora
Amazon Redshift
Azure SQL Database
FACS
Google Sheets
Hive
IBM Db2
IBM SPSS Statistics
Impala
MATLAB
MariaDB
Microsoft Access
Microsoft Excel
MySQL
PostgreSQL
SAP HANA
SAS Analytics Pro
SAS Visual Analytics
SAS Viya
Teradata QueryGrid

Pricing Details

$1320/year/user
Free Trial
Free Version

Pricing Details

$249 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

JMP Statistical Discovery

Founded

1989

Country

United States

Website

www.jmp.com

Vendor Details

Company Name

ZingChart

Website

www.zingchart.com

Product Features

Dashboard

Annotations
Data Source Integrations
Functions / Calculations
Interactive
KPIs
OLAP
Private Dashboards
Public Dashboards
Scorecards
Themes
Visual Analytics
Widgets

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Cleansing

Address/ZIP Code Cleaning
Charting
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Phone/Email Validation
Raw Data Ingestion
Sample Testing
Validation / Matching / Reconciliation

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Mining

Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

Qualitative Data Analysis

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

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

Product Features

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

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