Data Visualizations using R with Data Processing

Posted By: Sigha

Data Visualizations using R with Data Processing
.MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 44100 Hz, 2ch | 941 MB
Duration: 1.5 hours | Genre: eLearning | Language: English

Data Visualizations with R


What you'll learn

Data Visualizations using R

Requirements

Fundamentals R programming

Description

This is the bite size course to learn R Programming for Data visualizations. In CRISP DM data mining process, Data Visualization is at the Data Understanding stage. This course also covers Data processing, which is at the Data Preparation Stage.

You will need to know some R programming, and you can learn R programming from my "Create Your Calculator: Learn R Programming Basics Fast" course. You will learn R Programming for applied statistics and you will be able


You can take the course as follows, and you can take a exam at EMHAcademy to get SVBook Certified Data Miner using R certificate :

- Create Your Calculator: Learn R Programming Basics Fast (R Basics)

- Applied Statistics using R with Data Processing (Data Understanding and Data Preparation)

- Advanced Data Visualizations using R with Data Processing (Data Understanding and Data Preparation, in future)

- Machine Learning with R (Modeling and Evaluation)

Content

Getting Started

Getting STarted

Getting Started

Hello World Application

Data Mining Process

Download Dataset

Read Dataset

Bar Plot

Export Bar CHart as Image

Horizontal Bar Chart

Histogram

Histogram with Density Line

LIne Chart

Multiple Line Chart

Pie Chart

3D Pie Chart

Scatterplot

Boxplot

Scatterplot Matrix

GGPlot 2

Aesthetic Mapping and Geometric

GEometrics

Labels and Titles

Themes

GGPlot2: Bar CHart

GGPlot2: HIstogram

GGPlot2: Density Plot

GGPlot2: Scatterplot

GGPLot2: Line Chart

GGPLot2: BoxpLot

Save GGPLot Image

Data Processing: Select Variables

Data Processing: Sort Data

Data Processing: Filter Data

Data Processing: Remove Duplicates and Missing Values

References:

This course is actually based on the Learn R for Applied Statistics book I have published at Apress.

Who this course is for:

Beginner Data Scientist or Analyst interested in R programming