Introduction to R: Preparing Numeric Data
20Numeric data tends to be cleaner than text data, but there are still a variety of preprocessing steps to consider when working with numeric data to prepare it for analysis and modeling. In this lesson we consider four data preparation steps including: data normalization (centering and scaling), dealing with skewed data, dealing with highly correlated variables and imputing missing values.
This is lesson 15 of a 30-part introduction to the R programming language for data analysis and predictive modeling. Link to the code notebook below:
Introduction to R: Preparing Numeric Data https://www.kaggle.com/hamelg/intro-to-r-part-15-preparing-numeric-data
This guide does not assume any prior exposure to R, programming or data science. It is intended for beginners with an interest in data science and those who might know other programming languages and would like to learn R.
I will create the videos for this guide such that you should be able to learn a lot just watching on YouTube, but to get the most out of the guide, it is recommended that you create a Kaggle account so that you can fork and edit each lesson so that you can follow along and run code yourself.
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Introduction to R Playlist:
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Other Videos By DataDaft
| 2019-09-13 | dplyr: Pipes |
| 2019-09-13 | dplyr: Getting Started |
| 2019-09-11 | Introduction to R: Descriptive Statistics |
| 2019-09-06 | How to Read csv Data Into R |
| 2019-09-05 | Introduction to R: Plotting with ggplot2 |
| 2019-09-04 | How To Use ifelse in R |
| 2019-09-03 | Introduction to R: Plotting in Base R |
| 2019-08-28 | Introduction to R: Frequency Tables |
| 2019-08-27 | Introduction to R: Merging Data |
| 2019-08-23 | Introduction to R: Dealing With Dates |
| 2019-08-21 | Introduction to R: Preparing Numeric Data |
| 2019-08-20 | Introduction to R: Working with Text Data |
| 2019-08-13 | Introduction to R: Exploring and Preparing Data |
| 2019-08-12 | Introduction to R: Functions |
| 2019-08-09 | Introduction to R: Control Flow |
| 2019-08-07 | Introduction to R: Reading and Writing Data |
| 2019-08-06 | Introduction to R: Factors |
| 2019-08-05 | Introduction to R: Data Frames |
| 2019-07-15 | Introduction to R: Lists |
| 2019-07-12 | Introduction to R: Matrices |
| 2019-07-11 | Introduction to R: Vectors |