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Schedule

Setup Download files required for the lesson
00:00 1. Before we Start How to find your way around RStudio?
How to interact with R?
How to manage your environment?
How to install packages?
00:40 2. Introduction to R What data types are available in R?
What is an object?
How can values be initially assigned to variables of different data types?
What arithmetic and logical operators can be used?
How can subsets be extracted from vectors?
How does R treat missing values?
How can we deal with missing values in R?
02:00 3. Starting with Data What is a data.frame?
How can I read a complete csv file into R?
How can I get basic summary information about my dataset?
How can I change the way R treats strings in my dataset?
Why would I want strings to be treated differently?
How are dates represented in R and how can I change the format?
03:20 4. Data Wrangling with dplyr and tidyr How can I select specific rows and/or columns from a dataframe?
How can I combine multiple commands into a single command?
How can create new columns or remove existing columns from a dataframe?
How can I reformat a dataframe to meet my needs?
04:40 5. Data Visualisation with ggplot2 What are the components of a ggplot?
How do I create scatterplots, boxplots, and barplots?
How can I change the aesthetics (ex. colour, transparency) of my plot?
How can I create multiple plots at once?
06:35 6. Processing JSON data What is JSON format?
How can I convert JSON to an R dataframe?
How can I convert an array of JSON record into a table?
07:20 Finish

The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.