JMP features and reviews of 2020
JMP Statistical Analysis software helps users in different industries perform data visualization and analysis of data from various sources.
JMP Statistical Analysis software focuses on helping data scientists, engineers, researchers, and explorers in different industries with data analysis solutions. With this software, users can access data from multiple sources, prepare data with its preparation tools, and perform statistical analyses of their choice. Plus, JMP helps users understand the complex relationships in their data.
This software allows users to use web visualizations and interactive dashboards to model their data. Users can explore data in different forms like Excel, Text, and ODBC compliant databases. Besides, JMP Statistical Analysis software enables users to clean up their data and screen for entry errors, outliers, and missing values that can affect their analysis.
For data exploration, the JMP Statistical Analysis software allows users to use distribution fitting, histograms, and regression tools. Users can uncover information from their text by extracting, visualizing, and organizing words and phrases. Users can customize all aspects of this software to fit their needs. Also, this software enables users to filter, subset and group data to identify patterns and trends.
Scientists can design experiments based on current problems, timing, and budget accounting. Companies can use statistical models to understand their data trends and patterns for a better understanding of their business, customers, and competitors. Additionally, users can perform scenario analysis to demonstrate patterns of predicted response and the effects of the factors.
Businesses can use survey analysis, data mining, and choice experiments to conduct consumer and market research. Users can share their dynamic visualizations in different formats. This software enables users to automate processes and regenerate analysis reports using scripting. Plus, users can use other analytics tools like MATLAB, SAS, Python, and R seamlessly on this software.
JMP Statistical Analysis software allows users to perform cross-validation and predictive modeling on their data. Users can leverage neural networks, decision trees, and bootstrap forests for predictive modeling. Businesses can build models of data to understand their customers and competition. Besides, the JMP software allows users to validate their large models through data partitioning.
Users can use the JMP Statistical Analysis software to simplify predictive analytics. Businesses can make better decisions from the trends and patterns gotten from their data. This software allows users to build models that generalize their data effectively.
JMP Statistical Analysis software enables users to perform model comparisons automatically. Users can compare different models at the same time, and perform simple model averaging if needed. With model comparison, users can compare their saved prediction columns from different fits and select the best combination.
This software allows users to find out the appropriate situations that different types of models fit. Users can use standard quality measures like lift curves, RIC curves, R2, AUC, and misclassification rates to assess models. Additionally, users can see the factors each of their models are picking up using the visual model profilers.
JMP Statistical Analysis software enables users to manage multiple models conveniently. The central repository of this software allows users to store, compare, profile, and deploy their models in languages like SAS, SQL, and C. Users can generate, save, and apply score code to new data seamlessly. Also, the JMP Statistical Analysis software allows users to deploy their models to other systems with ease.
JMP Statistical Analysis software allows users to acquire data standard file locations and formats like the ODBC-compliant databases. Users can import both text and Excel files easily using this software's Import Wizard. With JMP, users can develop a simple or complicated query with ease. This software performs automatic matching of tables for fast data analysis.
Scientists can import data from different sources, including R code, MATLAB code, HTML files, HTML tables, SPSS files, and SAS. This software preformats imported files and handles users' data regardless of the source. Plus, users can preserve the metadata and structure of the original data source seamlessly with JMP.
JMP Statistical Analysis software automates the data cleaning tasks to save users time and energy. This software minimizes the impact of data problems on the analysis of users when it cannot clean their data directly. Users can merge all their data into a single file and perform an interactive and intelligent table joins. Besides, this software allows users to reference data from another table without joining them together.
Users can use the JMP Statistical Analysis software to ensure that their data is clean and the values are consistent. This software offers users a visual interface into their data. JMP provides a Recode capability that automates data category consolidation to make them easy for users. Users can clean up their data by screening for entry errors, outliers, error codes, and missing values.
JMP Statistical Analysis software provides data visualization that reveals trends and patterns in data sets. Users can dynamically explore their data using this data visualization platform. This software allows users to create simple and complex graphical displays interactively. Also, users can easily plot data on different interactive maps.
With Bubble Plots, users can show changes in different dimensions over time by creating animated data movies. The dashboard on this software allows users to tell the story of their data quickly. JMP Statistical Analysis software enables users to create their customized dashboards or develop in-built visualizations.
JMP Statistical Analysis software enables users to perform univariate analysis. Users can use descriptive statistics, histograms, nonparametric tests, statistical calculators, fitting splines, and distribution fitting to perform statistical analysis. This software allows users to perform capability analysis, frequencies, and distribution fittin for nominal values. Additionally, JMP Statistical Analysis software helps businesses group and filter their data sets to find patterns.
JMP Statistical Analysis software focuses on helping scientists and explorers from different industries with their data analysis needs. This software supports both Mac and Windows devices, and it allows users to tackle simple and complex statistical problems. Users can access data from multiple sources, prepare the data, clean the data, and perform statistical analyses of their choice, with ease.