Setup and Data Preparation | Introduction to dplyr Part 1

dplyr is a great tool to perform data manipulation. It makes your data analysis process a lot more efficient. Even better, it's fairly simple to learn and start applying immediately to your work! Oftentimes, with just a few elegant lines of code, your data becomes that much easier to dissect and analyze. For these reasons, it is an essential and foundational skill to master for any aspiring data scientist.

Often one may be surprised how some easy-to-learn functions can make the data analysis process that much more efficient. That is certainly the case with dplyr. In this series, we will teach you how to use this incredibly useful package to mung data, while demonstrating with a Kaggle dataset on wine ratings.

In Part 1 of this series, we will show you how:
- To obtain the R Programming Language
- Install RStudio
- Load in the wine ratings dataset from kaggle
- Install ggplot2 and dplyr packages

Introduction to R:

Tools needed:
Rstudio:

R Programming Language:

Dataset:

Dplyr Package:

Ggplot2 Package:

Code:

Table of Contents:
0:00 Introduction
3:13 Dplyr introduction
4:08 Demo

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[tzett]

I just stalked the author of this video. GMAT and SAT 99th percentile, holy smokes...

[nicolasleduc-savard]

Great video, thank you. We need more!

[aryantendulkar]

Please make video series based on data.table with full details like u had so far in R coz u guys are doing a great job but give some ideas which package is good, better, and based on what if analysis.

[badass]

I HAVE A PROBLEM HERE "Error in read.table(file = file, header = header, sep = sep, quote = quote, :
unused argument (stringAsFactors = FALSE) "

[merrimac]

In the other tutorial posted later by Data Science Dojo, the guy used the same code wrote by you and he have no clue.

[rcleoni]

Hello,

wine <- read_csv('wine.csv', stringsAsFactors=FALSE, encoding='UTF-8')

Error in read_csv("wine.csv", stringsAsFactors = FALSE, encoding = "UTF-8") :
unused arguments (stringsAsFactors = FALSE, encoding = "UTF-8")

[deadly]

Just wanted you to know... this would be more suited for a real classroom class. You could cut out at least half of it for more YouTube views. Too slow.