Dates

18-21 July 2022

 The Tidyverse is a set of packages that revolutionized data analytics in R. It offers an intuitive and powerful ecosystem that makes it easy to extract useful information from complex data frames. What is really awesome, is that the set of packages contained in the Tidyverse share the same philosophy, as such, the knowledge and proficiency that are acquired using a specific package can be extrapolated to the others.

This workshop targets researchers, data analysts, data engineers, and any professional aiming to synthetize pertinent information from raw and messy data inputs.

• A basic proficiency in R is required;

•  During the workshop, we’ll work with the RStudio IDE (Integrated Development Environment), as such a basic familiarity is preferable;

•  No prior knowledge of the Tidyverse is required.

 R: Available at https://cran.r-project.org/bin/windows/base/. Note that it’s ok if you don’t have the latest version.
- RStudio: We highly encourage you to install the RStudio 1.4. See here: https://www.rstudio.com/products/rstudio/download/

- The following packages are required and can be installed as follows:
* install.packages(‘tidyverse’)   
* install.packages(‘readxl’)
* install.packages(‘rvest’)
* install.packages(‘vroom’)
* install.packages(‘lubridate’)

Note that the Tidyverse contains the following core packages: ggplot2, dplyr, tidyr, readr, purr, tibble, stringr and forcats.

After completing the workshop, you’ll be able to:

-    Import into R data frames from various sources (CSV files, Excel, the web).

-    Clean, wrangle and reshape complex data frames.

-    Create appealing data visualizations.

Day 1 (2-7 pm Berlin time)

 
-    Data loading with {readr}, {readxl}.
-    Very fast data loading with {vroom}.
-    Introduction to web scraping with {rvest}.

Day 2 (2-7 pm Berlin time)

-    Using the {magrittr} pipe operator.
-    Data cleaning and wrangling with {dplyr}.
-    Data reshaping with {tidyr}.

Day 3 (2-7 pm Berlin time)

-    Data visualization with {ggplot2}.

Day 4 (2-7 pm Berlin time)

-    Introduction to Functional Programming with {purrr}.
-    String manipulation with {stringr}.
-    Handling date data with {lubridate}.

Cancellation Policy:

> 30  days before the start date = 30% cancellation fee

< 30 days before the start date= No Refund.

Physalia-courses cannot be held responsible for any travel fees, accommodation or other expenses incurred to you as a result of the cancellation.