Professional Data Visualisation with R

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Data Science Workshops B.V. biedt dit product standaard aan in de volgende regio's: Rotterdam

Beschrijving

Introduction

In this one-day hands-on workshop, we’re going to have a close look at ggplot2, a widely used R package that implements the so-called grammar of graphics. Its concise and consistent syntax allows you to create high-quality data visualisations in a quick and iterative manner that are suitable for both exploration and communication.

This workshop assumes no prior knowledge of R, as we’ll introduce the bare necessities in order to effectively use ggplot2. If the participants are already familiar with the fundamentals of R and RStudio then we can of course skip that and spend more time on advanced topics.

By the end of this workshop you’ll have a solid understanding of the grammar o…

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Nog niet gevonden wat je zocht? Bekijk deze onderwerpen: R Programmeren, Business intelligence, Programmeren (algemeen), Data Science en Angular.

Introduction

In this one-day hands-on workshop, we’re going to have a close look at ggplot2, a widely used R package that implements the so-called grammar of graphics. Its concise and consistent syntax allows you to create high-quality data visualisations in a quick and iterative manner that are suitable for both exploration and communication.

This workshop assumes no prior knowledge of R, as we’ll introduce the bare necessities in order to effectively use ggplot2. If the participants are already familiar with the fundamentals of R and RStudio then we can of course skip that and spend more time on advanced topics.

By the end of this workshop you’ll have a solid understanding of the grammar of graphics and how to create data visualisations in R for your daily work. But beware: there’s a good chance you will want to learn more about R.

Schedule

  • Introduction to R and RStudio
  • Motivating examples of ggplot2
  • Just enough R to work with ggplot2
    • Assignment, variables, expressions
    • Atomic vectors, numbers, factors, strings, dates
    • Data frames, long versus wide
    • Loading data
  • A layered grammar of graphics
    • Aesthetics and geometries
    • Scales and coordinate systems
    • Facets
    • Labels and themes
  • Implementing your house style as a theme
  • Noteworthy extensions of ggplot2
    • Network visualisations
    • Animations
  • Where to go from here?

Recommended preparation

Participants are kindly requested to have the following items installed prior to the start of the workshop:

  • R version 3.4 or later
  • RStudio v1.1 or later
  • The latest versions of the following R packages, by running: install.packages(c("tidyverse", "ggrepel"), dependencies = TRUE)

Clients

We’ve previously delivered this workshop at:

  • Equalis Strategy & Modeling
  • Gemeente Nijmegen
  • KPN
  • ProRail
  • Squla
  • Venturn

Testimonials

“Data Science Workshops organised for KPN a ten-week course on Data Science with R. The combination of training, on-site coaching, and remote support ensured that our analysts are applying the new knowledge and skills in their daily projects. For instance, they’re now capable to implement complex predictive models using R. We’re looking forward to the follow-up course on Advanced Machine Learning.”

–Wouter Egberink, Manager Commercial Analytics, KPN

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