JMP Statistical Software vs. RAW Graphs Comparison


JMP Statistical Software JMP Statistical Discovery	RAW Graphs DensityDesign	+	+
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About JMP, data analysis software for Mac and Windows, combines the strength of interactive visualization with powerful statistics. Importing and processing data is easy. The drag-and-drop interface, dynamically linked graphs, libraries of advanced analytic functionality, scripting language and ways of sharing findings with others, allows users to dig deeply into their data, with greater ease and speed. Originally developed in the 1980’s to capture the new value in GUI for personal computers, JMP remains dedicated to adding cutting-edge statistical methods and special analysis techniques from a variety of industries to the software’s functionality with each release. The organization's founder, John Sall, still serves as Chief Architect.	About Inspired by and built on top of open-source projects. RAWGraphs is open to the community for contributions. Almost 30 visual models to visualize quantities, hierarchies, time series and find insights in your data. Even though RAWGraphs is a web app, the data you insert will be processed only by your web browser. Save your project, or export it as vector or raster image. Edit it within your favourite software. Primarily conceived as a tool for designers and vis geeks, RAWGraphs aims at providing a missing link between spreadsheet applications (e.g. Microsoft Excel, Apple Numbers, OpenRefine) and vector graphics editors (e.g. Adobe Illustrator, Inkscape, Figma). RAWGraphs is an open source data visualization framework built with the goal of making the visual representation of complex data easy for everyone. The team responsible for the design, development and maintenance of the project is composed by DensityDesign, Calibro and Inmagik, who joined the team in 2019.
Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook
Audience Scientists, Engineers, Researchers, and Analysts	Audience Companies searching for a free and open source tool solution for data visualization
Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online
API Offers API	API Offers API
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing $1320/year/user Free Version Free Trial	Pricing No information available. Free Version Free Trial
Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 4.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software
Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information JMP Statistical Discovery Founded: 1989 United States www.jmp.com	Company Information DensityDesign United States rawgraphs.io
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Categories Dashboard Data Analysis Data Cleansing Data Discovery Data Mining Data Modeling Data Preparation Data Visualization Graphing Predictive Analytics Qualitative Data Analysis Statistical Analysis	Categories Data Visualization Graphing
Data Visualization Features Analytics Content Management Dashboard Creation Filtered Views OLAP Relational Display Simulation Models Visual Discovery Show More Features Dashboard Features Annotations Data Source Integrations Functions / Calculations Interactive KPIs OLAP Private Dashboards Public Dashboards Scorecards Themes Visual Analytics Widgets Data Analysis Features Data Discovery Data Visualization High Volume Processing Predictive Analytics Regression Analysis Sentiment Analysis Statistical Modeling Text Analytics Data Cleansing Features 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 Features Contextual Search Data Classification Data Matching False Positives Reduction Self Service Data Preparation Sensitive Data Identification Visual Analytics Data Mining Features Data Extraction Data Visualization Fraud Detection Linked Data Management Machine Learning Predictive Modeling Semantic Search Statistical Analysis Text Mining Data Preparation Features Collaboration Tools Data Access Data Blending Data Cleansing Data Governance Data Mashup Data Modeling Data Transformation Machine Learning Visual User Interface Predictive Analytics Features AI / Machine Learning Benchmarking Data Blending Data Mining Demand Forecasting For Education For Healthcare Modeling & Simulation Sentiment Analysis Qualitative Data Analysis Features 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 Features Analytics Association Discovery Compliance Tracking File Management File Storage Forecasting Multivariate Analysis Regression Analysis Statistical Process Control Statistical Simulation Survival Analysis Time Series Visualization	Data Visualization Features Analytics Content Management Dashboard Creation Filtered Views OLAP Relational Display Simulation Models Visual Discovery
Integrations Amazon Aurora Amazon Redshift FACS Google Sheets Hive IBM SPSS Statistics Impala Ledge MariaDB Microsoft Access Microsoft Excel Minitab Statistical Software MySQL Oracle API Management SAP Adaptive Server Enterprise (ASE) SAS Analytics Pro SAS Viya SQL Server SciCord Teradata QueryGrid Show More Integrations View All 33 Integrations	Integrations Amazon Aurora Amazon Redshift FACS Google Sheets Hive IBM SPSS Statistics Impala Ledge MariaDB Microsoft Access Microsoft Excel Minitab Statistical Software MySQL Oracle API Management SAP Adaptive Server Enterprise (ASE) SAS Analytics Pro SAS Viya SQL Server SciCord Teradata QueryGrid Show More Integrations
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