Visualizing & Analyzing Data with R: Methods & Tools

Hult University Student Repository

This repo does not replace the University system of record. Please submit work and review policy at Canvas

Course Topics:

1. Intro to R, R environment, installing libraries and loading packages
2. Basic objects in R, different data types, testing and changing types, importing data into the R environment
3. Basic data mining in R
4. Creating Frequency histograms, analyzing different distributions, visualizing data
5. Creating automated reports using R markdown, report streamlining

Course Learning Outcomes:

• CLO1: Understand programming and problem solving in R
• CLO2: Perform data cleaning, data visualization in R, and design a data science process

BMBANDD1?

Date	Lecture	Lab	Time
Mon Feb 27, 2023	Intro & Admin		1:30pm to 4:30pm
Thu Mar 2, 2023	Analytics & EDA		1:30pm to 4:30pm
Mon Mar 6, 2023	Reporting	Fake Customer Lab	3pm to 5pm
Tue Mar 7, 2023	Geo-temporal	McBroken Lab	3pm to 5pm
Thu Mar 9, 2023	Regression & Log.Reg		2pm to 4pm
Mon Mar 13, 2023	Decision Tree	Modeling Lab	2:30pm to 5:30pm
Tue Mar 14, 2023	Time Series & NLP		2pm to 4pm
Tue Mar 21, 2023	Data Sources & Ethics		1:30pm to 4:30pm

BMBANDD2?

Date	Lecture	Lab	Time
Tue Mar 21, 2023	TBD		5pm to 8pm
Wed Mar 22, 2023	TBD		1:30pm to 4:30pm
Mon Mar 27, 2023	TBD		5pm to 8pm
Tue Mar 28, 2023	TBD		5pm to 8pm
Mon Apr 3, 2023	TBD		5pm to 8pm
Tue Apr 4, 2023	TBD		5pm to 8pm
Thu Apr 6, 2023	TBD		5pm to 7pm

R Packages to install

# Individually you can use 
# install.packages('packageName') such as below:
install.packages('ggplot2')

# or 
install.packages('pacman')
pacman::p_load(officer, flextable, qcc, ggplot2, ggdark, ggthemes, ggdark, rbokeh, maps, 
               ggmap, leaflet, radiant.data, DataExplorer,
               vtreat, dplyr, ModelMetrics, pROC,
               MLmetrics, caret, e1071, plyr, 
               rpart.plot, randomForest, forecast, dygraphs,
               lubridate, jsonlite, tseries, ggseas,
               arules,fst, recommenderlab,reshape2,
               TTR,quantmod, htmltools,
               PerformanceAnalytics,rpart, data.table,
               pbapply, rbokeh, stringi, tm, qdap, readr,
               dendextend, wordcloud, RColorBrewer,
               tidytext, radarchart, RCurl, openNLP, xml2, stringr,
               devtools, flexdashboard, rmarkdown, httr, tidyverse,ROSE)

For Mac users trying to install git, you need to install BREW first from here

Brew Terminal code: /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"

Once downloaded you will need to copy paste two lines that are printed in console and execute them. then you have to type brew install git in terminal.