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Advanced Graphics with R
13th September 2018 @ 8:00 am - 5:00 pm
£250
| Organised by | Jumping Rivers |
| Presenter | Dr Colin Gillespie |
| Date | 13/09/2018 |
| Venue | Newcastle University, Herschel building, Newcastle upon Tyne |
| Map | View in Google Maps (NE1 7RY) |
| Contact | Esther Gillespie 07740285328 |
| Description | The tidyverse is essential for any statistician or data scientist who deals with data on a day-to-day basis. By focusing on small key tasks, the tidyverse suite of packages removes the pain of data manipulation.
This course assumes basic familiarity with R, e.g. the Introduction to R and participants should bringtheir own laptop. STRUCTURE: TIBBLES The core tidyverse data structure is a tibble; this is a modern take on the data frame. The course commences with a brief introduction to this structure. DPLYR: THE WORKHORSE OF THE TIDYVERSE Before the first coffee break, we’ll tackle the dplyr package. This package forms the foundation of the tidyverse by providing a standardised data manipulation grammar. TIDY DATA Your data should be tidy. An obvious statement, except what do we mean by tidy? This section will elucidate what we mean by tidy data and how to make it part of our workflow. DATA INPUT/OUTPUT In order to manipulate data, we need to be able to load data into R. We’ll cover the key packages and provide advice as required. DATA MANIPULATION We’ll finish the day by looking at common difficulties that may crop up in a data scientist’s day If you are interested in this course you can also contact us directly for information about how you can study at our offices for a lower price. For more information please go to our website at Jumpingrivers.com |
| Level | Intermediate (some prior knowledge) |
| Cost | £250pp |
| Website and registration |
https://www.eventbrite.co.uk/e/mastering-the-tidyverse-tickets-47710069101 |
| Region | North East |
| Keywords | Mixed Methods Data Handling and Data Analysis, ICT and Software |
| Related publications and presentations | Mixed Methods Data Handling and Data Analysis ICT and Software |