آموزش زبان R – پیش پردازش و پاک سازی داده

آموزش برنامه نویسی چندسکویی موبایل به زبان فارسی دوره کامل آموزش طراحی وب به زبان فارسی

Learning Path: R: Data Cleaning And PreprocessingPublisher: PacktpubAuthor: Vineet Pande - CuratorDuration: 00:29:07Link:https://www.safaribooksonline.com/library/view/learning-path-r/9781788470117/#toc-startLearn how to perform data preprocessing in R In Detail This Learning Path will guide you how to clean and prepare your raw data in R once it is loaded ... - Selection from Learning Path: R: Data Cleaning And Preprocessing [Video]
Release Date: June 2017
ISBN: 9781788470117
Video Description
Learn how to perform data preprocessing in RIn DetailThis Learning Path will guide you how to clean and prepare your raw data in R once it is loaded, so that you may get started with analyzing it and gaining insights.We begin this Learning Path by learning to identify these column headers and converting the values present within them to appropriate data types, for example, converting values in columns titled Date and Name to the date and character data types respectively. We will then work more extensively with the date format. Next we'll be learning how to add new records, removing certain columns and rows from the data set, and extracting partial records. Further, we'll learn to combine multiple datasets and sort them, transform data from long to wide format and vice versa. Finally, we shall cover the detection of missing values within a dataset, and imputing their values using R.By the end of this Learning Path, you would have become a master at cleaning and filtering datasets in R, such that you would be able to move on to analyzing and visualizing the data.Prerequisites: Basic knowledge of R.Resources: Code Downloads:R: Data Cleaning And Preprocessing
Chapter 1 : R: Data Cleaning And Preprocessing
Renaming the Data Variable
00:02:22
Converting Data Types
00:02:36
Working with Date Format
00:02:55
Adding New Records
00:02:09
Filtering Data
00:03:29
Dropping Data
00:01:42
Merging and Sorting Data
00:04:00
Reshaping Data
00:02:42
Detecting Missing Data
00:03:15
Imputing Missing Data
00:03:57

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آموزش برنامه نویسی چندسکویی موبایل

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دوره آموزش طراحی وب

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