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Data Cleaning Techniques in R/S-PLUS
Schedule
Location Start Date Duration Pre Register
Mexico City 10/07/2010 2 days Pre-Register
Beijing 10/11/2010 2 days Pre-Register
Data Cleaning Techniques in R/S-PLUS 
In this course, designed for R/S-PLUS programmers, you learn techniques for finding errors in raw data or R/S-PLUS data sets. These techniques involve using data manipulation and programming tools and other R/S-PLUS functions. We also focus on avoiding invalid results due to intermediate data generated within your program.
Benefits
bullet Check variables for invalid inputs
bullet Finding errors in R/S-PLUS data sets
bullet Compare data sets
bullet Avoiding invalid results due to intermediate data generated within your program.
Course Topics

Day 1

bullet Overview of Data Cleaning in R/S-PLUS
bullet Checking Values of Characters and Numerical Variables
bullet Checking for Missing Values
bullet Working with Dates - Missing and Invalid Dates

Day 2

bullet Looking for Duplicates and Multiple Observations per Subjects
bullet Working with Multiple Files
bullet Double Entry and Verification
bullet Fast Functions for Data Cleaning
bullet Efficiently Correcting Errors
Course Format
This course consists of a series of short lectures with demonstrations and interactive sessions for the participants. Each student is provided with bound copies of the notes and a CD-ROM containing all example and exercises used on the course.
Duration and Prerequisites

Duration: 2 days

Before attending this course a knowledge at the introduction level of R/S-PLUS is recommended but not necessary. Such experience would come from the following courses:

bullet S-PLUS / R : Programming Essentials
bullet R/S+ Fundamentals and Programming Techniques
 

Interested in our training? Please email the

Training Department
XLSolutions Corporation
sue@xlsolutions-corp.com
 
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