R: Complete Data Visualization Solutions

AulaGEO Academy

Training

Online

up to £ 100

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Description

  • Type

    Training

  • Methodology

    Online

  • Class hours

    4h

  • Start date

    Different dates available

"If you are looking for that one course that includes everything about data visualization with R, this is it. Let’s get on this data visualization journey together.This course is a blend of text, videos, code examples, and assessments, which together makes your learning journey all the more exciting and truly rewarding. It includes sections that form a sequential flow of concepts covering a focused learning path presented in a modular manner. The R language is a powerful open source functional programming language. R is becoming the go-to tool for data scientists and analysts. Its growing popularity is due to its open source nature and extensive development community.This course has been prepared using extensive research and curation skills. Each section adds to the skills learned and helps us to achieve mastery of data visualization. Every section is modular and can be used as a standalone resource. This course covers different visualization techniques in R and assorted R graphs, plots, maps, and reports. It is a practical and interactive way to learn about R graphics. We will start by focusing on “ggplot2” and show you how to create advanced figures for data exploration. Then, we will move on to customizing the plots and then cover interactive plots. We will then turn our attention to building an interactive report using the “ggvis”.This course has been authored by some of the best in their fields:Dr. Fabio Veronesi, In his career worked at several topics related to environmental research: digital soil mapping, cartography and shaded relief, renewable energy and transmission line siting. Atmajitsinh Gohil works as a senior consultant at a consultancy firm in New York City. He writes about data manipulation, data exploration, visualization, and basic R plotting functions.Yu-Wei, Chiu (David Chiu) is the founder of LargitData, a start-up company that mainly focuses on providing Big Data and machine learning products."

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this course

"Create professional data visualizations and interactive reportsDeepen your knowledge by adding bar-charts, scatterplots, and time series plots using ggplot2Enhance the user experience using dynamic visualisationTest your coding limits by creating stunning interactive plots for the webGain insight into how data scientists visualize data using some of the most popular R packagesUnderstand how to apply useful data visualization techniques in R for real-world applicationsBuild an assortment of interactive maps, reports, and moreMake your visualizations interactive using R"

This Integrated Course is useful whether someone is a hobbyist, analyst, an aspiring or professional data scientist, or even learning data visualization for the first time. Those already familiar with the basics of R, but want to learn to utilize the full power of R’s data visualization capabilities will also find this Integrated Course a match for their needs.

"Familiarity with R and experience with basic R programming is required to leverage this Integrated Course completely.You should have R installed on your system and your system should be connected to the Internet."

"-100% online -Access to the course for life -30 days warranty money back -Available from desktop or mobile app -Can begin and finish the course any time -Can repeat the course any times"

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Reviews

This centre's achievements

2020

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 3 years

Subjects

  • Data
  • Data Visualization
  • R
  • Videos
  • R Graphs
  • R Plots
  • R Maps
  • R Reports
  • Curation skills
  • Analysis
  • Programming Language
  • Open Source
  • R Language
  • Assessments
  • Code examples
  • R code
  • Raster data
  • Geocoding
  • Geocoding Information
  • CSV Files

Course programme

"Introducing Plotting in R
Introduction
Preview of R plotting functionalities
Loading tables and CSV files
Loading Excel files
Exporting data
Test Your Knowledge
Visualizing Data with ggplot2
Creating basic plots with ggplot2
Changing aesthetics mapping
Introducing geometric objects
Performing transformations
Adjusting scales
Faceting
Adjusting themes
Combining plots
Test Your Knowledge
Scientific Plotting in ggplot2
Creating histograms
The importance of box plots
Plotting bar charts
Plotting multiple variables – scatterplots
Dealing with time – time-series plots
Handling uncertainty
Test Your Knowledge
Customizing Plots
Changing the theme
Changing colors
Modifying axis and labels
Adding supplementary elements
Adding text inside and outside of the plots
Multi-plots
Test Your Knowledge
Interactive Plots in rCharts
Getting started with interactive plotting
Creating interactive histograms and box plots
Plotting interactive bar charts
Creating interactive scatterplots
Developing interactive time-series plots and saving
Test Your Knowledge
Heat Maps and Dendrograms
Constructing a simple dendrogram and modifying it with colors and labels
Creating a heat map and modifying it with customized colors
Generating an integrated dendrogram and a heat map
Creating a three-dimensional heat map and a stereo map
Constructing a tree map in R
Test Your Knowledge
Maps
Introducing regional maps
Introducing choropleth maps
A guide to contour maps
Constructing maps with bubbles
Integrating text with maps
Introducing shapefiles
Creating cartograms
Test Your Knowledge
Interactive Maps
Understanding interactive maps
Plotting vector data on Google Maps
Adding layers
Plotting raster data on Google Maps
Using Leaflet to plot on OpenStreetMaps
Test Your Knowledge
Creating Global Economic Maps with Open Data
Data available from the World Bank
Importing Data from the World Bank
Adding Geocoding Information
Additional tricks
Making Interactive Reports
Creating R Markdown reports
Embedding R code chunks
Creating interactive graphics with ggvis
Understanding the basic syntax and grammar of ggvis
Controlling axes and legends and using scales
Adding interactivity to a ggvis plot
Creating an R Shiny document
Publishing an R Shiny report
Test Your Knowledge
Creating a Website with Shiny
Getting started with Shiny
Creating a simple website
File input
Conditional panels – UI
Conditional panels – servers
Deploying the site
Test Your Knowledge
Data in Higher Dimensions
Constructing a sunflower plot and a hexbin plot
Generating interactive calendar maps
Creating Chernoff faces in R
Constructing a coxcomb plot in R
Constructing network plots and radial plots
Generating a very basic pyramid plot"

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