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Applied Data Visualization with R and ggplot2 Training

Nivå: Intermediate

This fast-paced, data visualisation with R and ggplot2 course is a 1-day, practical hands-on course aimed at experienced developers and system architects. As you progress, you’ll find helpful tips and tricks, as well as useful self-assessment material, exercises, and activities to help you benchmark your progress and reinforce what you’ve learned. The activities have been devised to simulate real-world conditions in order to equip you with the necessary skills to accelerate software deployment while still maintaining security, portability, and affordability.

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Nyckelfunktioner:

  • After-course instructor coaching benefit

Du kommer lära dig att:

  • Illustrating continuous integration and continuous delivery concepts.
  • Setting up the R environment, R Studio, and explaining the structure of ggplot2.
  • Distinguishing between types of variables and best practises for visualising them.
  • Changing the defaults of visualisations to reveal more information about the data.
  • Implementing the "Grammar of Graphics" in ggplot2, such as scales, coordinate systems, position adjustments, and faceting.
  • Creating complex visualisations and investigating the correlations between variables.
  • Designing and implementing a visualisation from scratch.

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LIVE, LÄRARLEDD

I klass & Live, Online-utbildning

  • 1-day instructor led training course
  • One-on-one after-course instructor coaching
  • Pay later by invoice -OR- at the time of checkout by credit card
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  • Coaching av ett expertteam

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Learning Tree erbjuder kundanpassad utbildning hos er, öppna kurser i Stockholm, London eller Washington, möjlighet att delta via våra Anywhere centers (Malmö, Göteborg, Linköping, Stockholm eller Borlänge) eller olika former av e-learning med lärarstöd. Läs mer på www.learningtree.se/priser .

I klass & Live, Online-utbildning

Note: This course runs for 1 dag

  • 26 apr 9:00 - 4:30 BST Online (AnyWare) Online (AnyWare) Boka Din Kursplats

  • 5 jul 9:00 - 4:30 BST Online (AnyWare) Online (AnyWare) Boka Din Kursplats

  • 11 okt 9:00 - 4:30 BST Online (AnyWare) Online (AnyWare) Boka Din Kursplats

  • 6 apr 9:00 - 4:30 EDT Online (AnyWare) Online (AnyWare) Boka Din Kursplats

  • 9 aug 9:00 - 4:30 EDT Ottawa / Online (AnyWare) Ottawa / Online (AnyWare) Boka Din Kursplats

  • 4 okt 9:00 - 4:30 EDT Herndon, VA / Online (AnyWare) Herndon, VA / Online (AnyWare) Boka Din Kursplats

  • 7 feb 9:00 - 4:30 EST Ottawa / Online (AnyWare) Ottawa / Online (AnyWare) Boka Din Kursplats

Kurs med startgaranti

När du ser symbolen för “Guaranteed to Run” vid ett kurstillfälle vet du att kursen blir av. Garanterat.

Data Visualisation with R and ggplot2 Training Information

  • Who Should Attend

    This course is meant for professionals who work with data and use R as part of their workflow. It also targets students who want to extend and enhance their data analysis skills by adding complex, informative, and professional visualisations. This course will not cover the basics of R commands and objects, so students are expected to have some familiarity with the R language

Data Visualisation with R and ggplot2 Training Outline

  • Lesson 1: Basic Plotting in ggplot2

    • Introduction to ggplot2
    • Geometric Objects
    • The Grammar of Graphics

  • Lesson 2: The Grammar of Graphics and Visual Components

    • More on the Grammar of Graphics
    • Facets
    • Changing Styles and Colours
    • Geoms and Statistical Summaries

  • Lesson 3: Advanced Geoms and Statistics

    • Advanced Plotting Techniques
    • Time Series
    • Maps
    • Trends, Correlations, and Statistical Summaries

Teamträning

R and ggplot2 FAQs

  • What is ggplot2?

    ggPlot2 is a data visualisation package for the statistical programming language and is a versatile system for making graphs.

  • What is R programming?

    R is a programming language used by data scientist to do Data Analysis, linear and nonlinear modelling, clustering, etc., being one of the most popular languages to perform these functions.

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