Details on how to run the HSH Quarterly master report. Steps outlined from running in the R project, to querying the data in the QuACK.

Practice activities from the lesson learned in lessons 1 and 2. Use rpubs and your own scripts to guide you through these.

Let's continue exploring dplyr functions while also building our literacy in R language/coding. We will further explore additional *join()* types and as well as building upon our mutate() skills, in combination with the useful *if_else()* function.

Let's continue exploring dplyr functions while also building our literacy in R language/coding. We will continue to learn new ways to subset our data, aggregate and group data and analyze the results.

We will explore the dplyr package, a foundation for data wrangling for reporting purposes. In this session we will look at the all-important select and filter commands, while still developing our R-coding literacy.

In this session we learn how to use R base functions along with certain packages of the tidyverse to explore our data set.

Beginning R basics; introduction to the R and R programming language and utilities. Introduction to basic r functions.