Ementorhub

Data Visualization with R

This course is part of multiple programs. Learn more

Instructors: Yiwen Li +3 more

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What you'll learn

Create bar charts, histograms, pie charts, scatter plots, line graphs, box plots, and maps using R and related packages.

Design customized charts and plots using annotations, axis titles, text labels, themes, and faceting.

Create maps using the Leaflet package for R.

Create interactive dashboards using the Shiny package for R.

Skills you'll gain

Spatial Data Analysis

Box Plots

Leaflet (Software)

Scatter Plots

Plot (Graphics)

Graphing

Ggplot2

Data Storytelling

UI Components

Histogram

Shiny (R Package)

Data Visualization Software

Interactive Data Visualization

R Programming

Dashboard

User Interface (UI)

There are 4 modules in this course

You will practice what you learn and build hands-on experience by completing labs in each module and a final project at the end of the course. Watch the videos, work through the labs, and watch your data science skill grow. Good luck! NOTE: This course requires knowledge of working with R and data. If you do not have these skills, it is highly recommended that you first take the Introduction to R Programming for Data Science as well as the Data Analysis with R courses from IBM prior to starting this course. Note: The pre-requisite for this course is basic R programming skills.

Module 2 - Basic Plots, Maps, and Customization

Module 3 - Dashboards

Module 4 - Final Assignment

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