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Course Outline
Basic Overview of R and R Studio for Government
- R Overview
- R Studio Environment Windows
- Script Editor Window
- Data Environment
- Console
- Plots, Help, and Packages
Working with Data for Government
- Introduction to Vectors and Matrices (data.frame)
- Different Types of Variables
- Numeric, Integer, Factor, etc.
- Changing Variable Types
- Importing Data Using R Studio Menu Functions
- Removing Variables with the ls() Command
- Creating Variables at the Console Prompt – Single, Vector, Data Frame
- Naming Vectors and Matrices
- Head and Tail Commands
- Introduction to dim, length, and class
- Command Line Import (Reading .csv and Tab-Delimited .txt Files)
- Attaching and Detaching Data (Advantages vs data.frame$)
- Merging Data Using cbind and rbind
Exploratory Data Analysis for Government
- Summarizing Data
- Summary Command on Both Vectors and Data Frames
- Subsetting Data Using Square Brackets
- Summarizing and Creating New Variables
- Table and Summary Commands
- Summary Statistic Commands
- Mean
- Median
- Standard Deviation
- Variance
- Count & Frequencies
- Min & Max
- Quartiles
- Percentiles
- Correlation
Exporting Data for Government
- Write Table .txt
- Write to a .csv File
R Workspace Management for Government
- Concept of Working Directories and Projects (Menu-Driven and Code – setwd())
Introduction to R Scripts for Government
- Creating R Scripts
- Saving Scripts
- Workspace Images
Concepts of Packages for Government
- Installing Packages
- Loading Packages into Memory
Plotting Data (Using Standard Default R Plot Command and ggplot2 Package) for Government
- Bar Charts and Histograms
- Boxplots
- Line Charts / Time Series
- Scatter Plots
- Stem and Leaf
- Mosaic
- Modifying Plots
- Titles
- Legends
- Axis
- Plot Area
- Exporting a Plot to a Third-Party Application
Requirements
- No prior experience with R is required.
- Basic familiarity with programming or data analysis concepts is beneficial but not mandatory.
Audience
- Data analysts and statisticians new to R
- Researchers and academics interested in data manipulation and visualization for government
- Professionals transitioning into data science roles within the public sector
7 Hours
Testimonials (4)
I feel more confident with coding now. I've never done it before but now I understand that it's not rocket science and I can do it when necessary.
Anna - Birmingham City University
Course - Foundation R
Background knowledge and 'provenance' of trainer.
Francis McGonigal - Birmingham City University
Course - Foundation R
The trainer was very concern about individual understanding.
Muhammad Surajo Sanusi - Birmingham City University
Course - Foundation R
I genuinely enjoyed the hands passed exercises.
