Data Visualizations using R with Data Processing

About this Course:

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, I may allow you to have the SVBook certificate in Data Mining using R in future after you passed a quiz and completed all the courses below:

• 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)

References:

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

Basic knowledge:

• Computer Knowledge
• Basic coding knowledge

Who is the target audience?

Any one who desires to learn it.

Course Completion Certificate

What you will learn:

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

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