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- #SAS JMP STATISTICAL DISCOVERY HOW TO#
- #SAS JMP STATISTICAL DISCOVERY PORTABLE#
- #SAS JMP STATISTICAL DISCOVERY SOFTWARE#
Once your data resides in a JMP table, you can take advantage of rich reshaping and restructuring tools, merge all of your data into a single file and easily perform intelligent and interactive table joins. And even if you can't clean your data directly, JMP includes methods to minimize the impact of data problems on your analysis, often eliminating the need (and effort required) to make your data pristine.
#SAS JMP STATISTICAL DISCOVERY SOFTWARE#
What is difficult or even impossible in other software is easy in JMP. No matter what your data cleaning tasks, JMP automates the process. JMP has long appreciated this fact and worked to make data preparation easier, faster and more reliable. How much time do you spend preparing your data for analysis? For many data analysts, this is a constant chore. It doesn't matter what you call it, but you know you have to do a lot of it. JMP tables are always fast, optimized to perform analytics, can cross physical boundaries of your production systems without changing them and are ready for you to explore, all while preserving as much of the structure and metadata of the original source as possible.ĭata management, data cleanup, data wrangling, data curation. Imagine having confidence that your statistical analysis tool can handle your data, no matter what its original form.
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So a file imported into an in-memory JMP table is preformatted and is as close as possible to analysis-ready, saving you time and effort. In all cases, importing data into JMP is an interactive task, and the software reacts to changes you make during the process. Free text documents, emails, maintenance logs and survey results.
#SAS JMP STATISTICAL DISCOVERY PORTABLE#
#SAS JMP STATISTICAL DISCOVERY HOW TO#
This can make for significant work and require you to learn not only the details of the data tables but also how to use SQL or other tools to join them.Įnter Query Builder. You have to join those tables to assemble the data you need. This means that the data you need for analysis is scattered across multiple tables.
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Whatever the format, JMP is ready.ĭatabases allow organizations to catalog massive amounts of data and information, but databases are usually organized for efficient storage and transactions, not for efficient analysis. csv and more and pull data directly from ODBC-compliant databases using the interactive Query Builder, from data on the web or in the cloud through APIs. Fortunately for you, JMP is hungry for data and has the data connectors you need to be productive, fast.Įasily read from Microsoft Excel using the Excel Import Wizard out of files such as.