Publications by MD Asadul Islam
Document
library(tidyverse) library(openintro) library(tidyr) library(dplyr) library(ggplot2) Read data from the CSV file # Read the csv file data <- read.csv("C:\\Users\\HP\\Documents\\arrival delays for two airlines.csv") print(data) ## Airline Status Los.Angeles Phoenix San.Diego San.Francisco Seattle ## 1 Alaska on time 497 221 ...
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library(tidyverse) library(openintro) library(tibble) 1. Normalization Here I have three tables which demonstrate UNF, INF, 2NF and 3NF. # Unnormalized Data (UNF) unnormalized_data <- tibble( EmployeeID = c(1, 2, 3, 4), Name = c("Alice", "Bob", "Yvonne", "Emily"), Department = c("HR", "Finance", "IT", "Management"), Projects = c("Re...
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Part 1: Build Table Movies: Rebel Ridge, The Deliverance, The Union, Incoming, Gemini Man. Person1 ratings: 5, 5, 5, 3, 4 Person2 ratings: 3, 3, 4, 4, 5 Person3 ratings: 4, 5, 4, 3, 3 Person4 ratings: 5, 4, 5, 5, 4 Person5 ratings: 3, 3, 3, 4, 2 Part 2: Store Data in SQL Database CREATE TABLE movie_ratings ( popular_movie VARCHAR(200) NULL, pe...
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Data 607/ Assignment: 1 – Loading Data into a Data Frame
Overview The data I will be working with for this assignment is drug use by age and is associated with the article how baby boomers get high. The data covers thirteen drugs across 17 age groups and its main objective is to create a story on how baby boomers get high. Some of th drugs that are covered include alcohol, marijuana, cocaine, heroine...
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Tset Document
R Markdown This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com. When you click the Knit button a document will be generated that includes both content as well as the output of any embedded R code chunks within...
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Lab- 1
library(tidyverse) library(openintro) data('arbuthnot', package='openintro') Exercise 1 arbuthnot$girls ## [1] 4683 4457 4102 4590 4839 4820 4928 4605 4457 4952 4784 5332 5200 4910 4617 ## [16] 3997 3919 3395 3536 3181 2746 2722 2840 2908 2959 3179 3349 3382 3289 3013 ## [31] 2781 3247 4107 4803 4881 5681 4858 4319 5322 5560 5829 5719 6061 61...
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