This course teaches you how to approach writing a new script in a methodical way. A realistic case study is used to illustrate the typical steps. A separate case study is developed in the course exercises. A storyboard showing the results from the script, the JMP objects that will be used by the script, and the steps necessary for the script to carry out is developed at the beginning of the course, and it is further developed throughout the course. The results are used to determine the necessary data, so the next step is identifying the analysis variables and their original data stores. Techniques to import data, cleanse and harmonize data, and derive new variables complete the first half of the course. The second half of the course teaches how to script the conversion of the variables into results. JMP objects are used to create a working framework. Each object is then customized or extended as necessary. Optional results or computations are captured in a user dialog to finish the script.

Lernen Sie, wie Sie / Learn how to

• Design and build a script end to end.
• Identify data sources.
• Import data from flat files and Excel workbooks.
• Clean and transform data.
• Build a presentation from JMP objects.
• Customize objects for final results.

Zielgruppe / Who should attend

Any JMP scripter who is ready to apply his or her JSL knowledge toward designing and building a script for data acquisition through the presentation of analytical and graphical results

Verfügbare Schulungsformen / Formats available	Dauer (kann variieren, Details s. Terminliste)
Präsenzkurs:	2 Tage
Live Web Class:	14 Stunden	Systemvoraussetzungen

Before attending this course, you should complete the JMP® Software: Introduction to the JMP® Scripting Language course or have equivalent experience.

In diesem Kurs wird mit folgenden Software Modulen gearbeitet / This course addresses JMP Software

Script Design

• introduction.
• identifying the data.

Data Import Design

• Importing flat files.

Data Preparation

• Formatting and shaping.
• Data cleansing.
• Transformations.

Building Analytics, Reports, and Visualizations

• Building the framework.
• Building the expressions.
• Capstone and best practices.

Script the Second Analysis (Appendix)

• Script design.
• Data import design.
• Data preparation.
• Building analytics, reports, and visualizations.

Database Access (Appendix)

• Importing data stored in a relational database.