
JMP Data Preprocessing and Statistical Basics
Description
Book Introduction
JMP is a data analysis software that features connectivity between data and analysis results, excellent visibility, compatibility with Python/R, etc., and powerful DOE (Design of Experiments) and machine learning capabilities.
This book was written to help you conveniently use and easily understand JMP, and its main contents are an introduction to JMP, data preprocessing, and statistical basics.
I hope that this book will help you improve your JMP utilization and data analysis skills.
This book was written to help you conveniently use and easily understand JMP, and its main contents are an introduction to JMP, data preprocessing, and statistical basics.
I hope that this book will help you improve your JMP utilization and data analysis skills.
index
Part 1: Introduction to JMP
Chapter 1. Introduction to JMP
Chapter 2. A Taste of JMP Features
Part 2: Data Preprocessing
Chapter 3.
Loading Data
Chapter 4. Exporting JMP Data Tables
Chapter 5.
Saving, editing, and sharing analysis results
Chapter 6.
Preprocessing of Data Table
Chapter 7.
Column (variable) unit preprocessing
Chapter 8.
Row and Cell Unit Preprocessing
Chapter 9. JMP Utility
Chapter 10.
Fit JMP to Me (Making JMP for Me)
Part 3: Basic Statistics
Chapter 11.
Analysis of individual variables (Distribution)
Chapter 12.
Analysis of two variables (ANOVA, analysis of variance)
Chapter 13.
Analysis between two variables (Regression)
Chapter 14.
Analysis between two variables (Logistic regression)
Chapter 15.
Analysis between two variables (Contingency Table)
Chapter 1. Introduction to JMP
Chapter 2. A Taste of JMP Features
Part 2: Data Preprocessing
Chapter 3.
Loading Data
Chapter 4. Exporting JMP Data Tables
Chapter 5.
Saving, editing, and sharing analysis results
Chapter 6.
Preprocessing of Data Table
Chapter 7.
Column (variable) unit preprocessing
Chapter 8.
Row and Cell Unit Preprocessing
Chapter 9. JMP Utility
Chapter 10.
Fit JMP to Me (Making JMP for Me)
Part 3: Basic Statistics
Chapter 11.
Analysis of individual variables (Distribution)
Chapter 12.
Analysis of two variables (ANOVA, analysis of variance)
Chapter 13.
Analysis between two variables (Regression)
Chapter 14.
Analysis between two variables (Logistic regression)
Chapter 15.
Analysis between two variables (Contingency Table)
GOODS SPECIFICS
- Date of issue: July 19, 2023
- Page count, weight, size: 464 pages | 188*257*30mm
- ISBN13: 9791141036331
- ISBN10: 1141036339
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