![]() ![]() JMP’s drag-and-drop graphing allows one to build and alter graphs quickly. ![]() Graphs can also be used to filter other graphs.ĭrag and drop graphing, filtering and column switching Using these such displays in conjunction with dynamic linking and filtering allows one to work effectively with many variables at once. JMP’s unique graph builder allows one to create displays through drag and drop, with multiple X and Y grouping variables and a variety of graph elements such as bar charts, histograms, line charts and contour plots. One can pan and examine JMP’s graphical displays with various tools, zoom in for a closer look and access all required details on demand. The wide repertoire of graph types allows to display and explore the data in any way, helping one to formulate questions that the data may be able to answer. Interactive graphing and analytics at its finest Thanks to its dynamic linking, in one graph or data table are mirrored in all graphs that are based on that table. JMP’s interactive visuals and extensive analysis capabilities make it an excellent alternative to spreadsheets for EDA and any sort of statistical analysis. JMP provides the tools one will need to speed this critical stage of the analysis workflow with a robust range of capabilities for accessing, combining, filtering and cleansing data in preparation for any analysis. EDA helps discover the structure in data, whether in small samples or in the vast amounts of data collected from many processes over time. Importing and connecting data sources Data collection and manipulation are the first steps in one’s analytic journey – and frequently, the most time-consuming. EDA in JMP also helps to develop a useful statistical model when this is required. JMP allows heuristic, open-ended and dynamic Exploratory Data Analysis (EDA), which frequently entails handling data quality and aggregation issues as one examines the data and plays with different representations to let the data speak clearly. ![]() Furthermore, JMP is desktop software, and it eliminates the need to wait for a server to send findings to a client, especially when dealing with large amount of data. One can manage and study data while in the flow of analysis and rerun commands as new questions and ideas arise. By combining dynamic graphics with sophisticated statistics, JMP helps to develop a narrative and interactively share findings in ways decisionmakers can easily comprehend and act on.ĭiscerning patterns in data and making discoveries is easy in JMP. JMP provides all the tools needed to make breakthrough discoveries from data and convey results. The volume, velocity and variety of the data generated in routine operations mean that tabulations of data are not enough, and graphical visualisation is the only way to tame this complexity and make useful progress. Generating such understanding relies on working effectively with the empirical data generated by measurements of process inputs, outputs and ancillary factors to control and improve outcomes while complying with regulatory requirements. Process understanding provides the only sure way to optimally manage real-world processes, and the pharma industry is no exception to this. ![]()
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