Ratings and Reviews 1 Rating
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What is JMP Statistical Software?
JMP is a versatile data analysis application that works seamlessly on both Mac and Windows platforms, offering a blend of advanced statistical features and captivating interactive visualizations.
Its intuitive drag-and-drop interface streamlines the data importation and analysis process, complemented by interconnected graphs, a vast array of sophisticated analytic tools, a built-in scripting language, and multiple sharing functionalities, all designed to enhance users' ability to examine their datasets both efficiently and effectively.
Originally developed in the 1980s to capitalize on the advantages of graphical user interfaces in personal computing, JMP has continually progressed by integrating cutting-edge statistical methodologies and tailored analysis techniques from various sectors with each new iteration. Additionally, John Sall, the organization's founder, plays an active role as the Chief Architect, ensuring that the software evolves to meet the dynamic needs of analytical technology. This commitment to innovation and user experience underscores JMP's reputation as a leading choice for data analysis across numerous fields.
What is CoPlot?
CoPlot Version 6.45 is a versatile software application designed to create high-quality 2D and 3D scientific visualizations that encompass data plots, equations, maps, and a variety of technical illustrations. The focus of the software's development is to provide a tool that enables scientists and engineers to fulfill their specific graphical requirements effortlessly. Furthermore, CoPlot includes CoStat for seamless data management and statistical analysis, enhancing its functionality. Users can craft intricate technical illustrations with an extensive selection of drawing tools offered by CoPlot. Its features are well-suited for designing genetic maps, field maps, flow charts, apparatus schematics, circuit diagrams, chemical structures, and much more. The program allows for the creation of drawings and graphs, incorporating HTML-like text formatting tags and over 1,000 special characters to enrich the visual quality of the scientific outputs. This enables users to produce exceptional scientific graphs and maps, with access to seven core graph types, over 40 plotting methods for data representation, 18 formats for equation display, customizable attributes, asymmetric and horizontal error bars, and 12 unique axis types, thereby delivering a comprehensive toolkit for all graphical needs. The extensive array of features and options provided by CoPlot positions it as an indispensable resource for professionals aiming to visually present their data with clarity and impact. Moreover, its user-friendly interface ensures that both novice and experienced users can efficiently navigate and utilize its capabilities.
Integrations Supported
Amazon Redshift
Azure SQL Database
FACS
Firebird
Google Sheets
IBM Db2
IBM SPSS Statistics
MATLAB
MariaDB
Microsoft Access
Integrations Supported
Amazon Redshift
Azure SQL Database
FACS
Firebird
Google Sheets
IBM Db2
IBM SPSS Statistics
MATLAB
MariaDB
Microsoft Access
API Availability
Has API
API Availability
Has API
Pricing Information
$1320/year/user
Free Trial Offered?
Free Version
Pricing Information
$280 one-time payment
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
JMP Statistical Discovery
Date Founded
1989
Company Location
United States
Company Website
www.jmp.com
Company Facts
Organization Name
CoHort Software
Company Website
www.cohortsoftware.com/coplot.html
Categories and 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
Categories and 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