Data Wrangling with R MAX522/F22 version 1.0 Outlier item (e) highlighted in yellow was missing in prior version
The data preparation tasks done with IBM SPSS Modeler can be done with R. Prior to performing any data preparation tasks as per Modeler, an Understanding of the data set must be completed to identify the profile of the variables, i.e., continuous variables: mean, median, standard deviation, skewness, and completeness. These R functions were addressed in prior MAX courses and the R Workshop provided to everyone.
1. Discover issue with data integrity using the “automregr.csv” file
#After installing/activating the HMISC package from CRAN, use the DESCRIBE function for more extensive information—only displayed some of the variables:
CS 340 Milestone One Guidelines and Rubric Overview: For this assignment, you will implement the fundamental operations of create, read, update,
Retail Transaction Programming Project Project Requirements: Develop a program to emulate a purchase transaction at a retail store. This
7COM1028 Secure Systems Programming Referral Coursework: Secure
Create a GUI program that:Accepts the following from a user:Item NameItem QuantityItem PriceAllows the user to create a file to store the sales receip
CS 340 Final Project Guidelines and Rubric Overview The final project will encompass developing a web service using a software stack and impleme