Publications by Arif
0_R Basics
1. Analyze Matrices It is now time to get your hands dirty. In the following exercises you will analyze the box office numbers of the Star Wars franchise. May the force be with you! # Box office Star Wars (in millions!) new_hope <- c(460.998, 314.4) empire_strikes <- c(290.475, 247.900) return_jedi <- c(309.306, 165.8) # Create box_office box_of...
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Introduction to the Tidyverse
Libraries library(gapminder) library(tidyverse) 0. Course Description This is an introduction to the programming language R, focused on a powerful set of tools known as the Tidyverse. You’ll learn the intertwined processes of data manipulation and visualization using the tools dplyr and ggplot2. You’ll learn to manipulate data by filtering, ...
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Introduction to R Programming for Data Science by IBM
library(tidyverse) ## Warning: package 'tidyverse' was built under R version 4.1.3 ## Warning: package 'tidyr' was built under R version 4.1.3 ## Warning: package 'readr' was built under R version 4.1.3 ## Warning: package 'dplyr' was built under R version 4.1.3 library(httr) library(rvest) TASK 1: Get a COVID-19 pandemic Wiki page using HTTP r...
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Data Visualization with ggplot2 Part 1
Libraries library(tidyverse) library(forcats) library(lubridate) library(ggthemes) library(quantreg) library(openair) library(lattice) library(RColorBrewer) library(rvest) Data data("iris") data("mtcars") data("diamonds") data("economics") mtcars$fcyl <- as.factor(mtcars$cyl) mtcars$fam <- as.factor(mtcars$am) mtcars$car <- row.names(mtcars) load...
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Data Visualization with ggplot2 Part 2
Libraries library(tidyverse) library(forcats) library(lubridate) library(ggthemes) library(quantreg) library(openair) library(lattice) library(RColorBrewer) library(rvest) Data data("iris") data("mtcars") data("diamonds") data("economics") mtcars$fcyl <- as.factor(mtcars$cyl) mtcars$fam <- as.factor(mtcars$am) mtcars$car <- row.names(mtcars) load...
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Working with Dates and Times in R
Libraries library(tidyverse) library(anytime) library(lubridate) library(ggridges) library(microbenchmark) library(fasttime) Data releases <- read.csv("releases.csv") logs <- read.csv("logs.csv") akl_daily_raw <- read_csv("akl_daily_raw.csv") akl_hourly_raw <- read.csv("akl_hourly_raw.csv") 0. Course Description Dates and times are abundant i...
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Exploratory Data Analysis in R
Libraries library(tidyverse) library(openintro) library(assertive) library(fst) library(broom) library(ggfortify) library(yardstick) library(moderndive) library(plot3D) library(magrittr) library(infer) library(anytime) library(lubridate) library(ggridges) Data cars<- read.csv("cars.csv") comics <- read.csv("comics.csv") immigrant <- read.csv("imm...
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Introduction to Statistics in R
Libraries library(tidyverse) library(anytime) library(lubridate) library(assertive) library(fst) library(broom) library(plot3D) library(magrittr) library(infer) library(anytime) Data food_consumption <- readRDS("food_consumption.rds") amir_deals <- readRDS("seller_1.rds") world_happiness <- readRDS("world_happiness_sugar.rds") 0. Course Descript...
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Supervised Learning in R- Classification and Regressions
Libraries library(tidyverse) library(class) library(openintro) library(assertive) library(fst) library(broom) library(naivebayes) library(pROC) library(rpart) library(rpart.plot) library(sigr) library(WVPlots) library(vtreat) Data signs <- read.csv("signs.csv") # write.csv(signs, "/Users/arifmathiq/R Data/signs.csv", row.names= FALSE) locations <...
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Machine Learning Notes
Decision Tree in R | Classification Tree & Code in R Decision Trees are versatile Machine Learning algorithm that can perform both classification and regression tasks. They are very powerful algorithms, capable of fitting complex datasets. Besides, decision trees are fundamental components of random forests, which are among the most potent Ma...
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