Starweaver

Segment - 01 - Introduction

Segment - 02 - Install R and RStudio

Segment - 03 - Common Data Types

Segment - 04 - Read in CSV and Excel Data

Segment - 05 - Read in Data from Online HTML Tables - Part 1

Segment - 06 - Read in Data from Online HTML Tables - Part 2

Segment - 07 - Read in Data from Databases

Segment - 08 - Read in Data from JSON

Segment - 09 - Introduction to Pipe Operators

Segment - 10 - Get acquainted with our data using "dplyr"

Segment - 11 - More selections with dplyr

Segment - 12 - Row Filtering

Segment - 13 - More Row Filtering

Segment - 14 - Select desired Rows and Columns

Segment - 15 - Add new variables/columns

Segment - 16 - Making sense of data by grouping different categories

Segment - 17 - Grouping Data - Part 2

Segment - 18 - Introduction to dplyr for Data Summarizing - Part 1

Segment - 19 - Introduction to dplyr for Data Summarizing - Part 2

Segment - 20 - Start with Tidyverse

Segment - 21 - Column Renaming

Segment - 22 - Tidy Data: Long and Wide

Segment - 23 - Joining Tables

Segment - 24 - Nesting

Segment - 25 - Brief Reminder: Hypothesis Testing

Segment - 26 - Implement t-test On Different Categories

Segment - 27 - Removing NAs- the ordinary way

Segment - 28 - Remove NAs- using "dplyr"

Segment - 29 - Data Imputation with dplyr

Segment - 30 - More Data Imputation

Segment - 31 - What is Data Visualization?

Segment - 32 - Some Principles of Data Visualization

Segment - 33 - Data Visualization With dplyr and ggplot2

Segment - 34 - Mining and Visualizing Information About the Olympic Games

Segment - 35 - Of Winter and Summer Olympic Games

Segment - 36 - Of Men and Women

Segment - 37 - Theory of Ordinary Least Square (OLS) Regression

Segment - 38 - Implement OLS on Different Categories