Publications by Fares A
607_Project 3 - Team 4
Packages library(RMySQL) library(DBI) library(dplyr) library(tidyverse) library(ggplot2) Connection to the SQL Server Importing the DB # retrieving sql_query <- " SELECT jp.posting_id, jp.URL, jp.first_seen, jp.last_processed, jpswd.skills_id, jpswd.skills_desc, t.title_desc, ct.city_desc, cn.country_desc, jl.j...
1663 sym R (10346 sym/31 pcs) 9 img
605_week7_hm
1. Let X1, X2, . . . , Xn be n mutually independent random variables, each of which is uniformly distributed on the integers from 1 to k. Let Y denote the minimum of the Xi’s. Find the distribution of Y . The probability that \(Y\) takes on any specific value \(y\) (where \(1 \leq y \leq k\)) can be found by considering the complement, that i...
3791 sym
607_week7_assignment
After having created the files by hand using Notepad, I have uploaded them to my GitHub and loaded them below: library(RCurl) library(XML) library(rjson) library(rvest) library(kableExtra) # loading html_content <- getURL("https://raw.githubusercontent.com/unsecuredAMRAP/607/main/html%20page3.html") html_data <- readHTMLTable(html_content...
121 sym R (1103 sym/3 pcs) 3 tbl
605_week7_discussion
Chapter 5, Problem 14: On the average, only 1 person in 1000 has a particular rare blood type. Find the probability that, in a city of 10,000 people, no one has this blood type. How many people would have to be tested to give a probability greater than 1/2 of finding at least one person with this blood type? Solution: Part a Using the Poisson Dis...
408 sym
607_project2_FDA_AI(resubmit)
dataset#1 FDA Approval of AI Algorithms in Medicine data set. This is the wide table of the data set I have chosen: Here it is in table format form the loaded data frame from the CSV file imported into R: library(kableExtra) df <- read.csv("https://raw.githubusercontent.com/unsecuredAMRAP/607/main/AI-FDA_wide-table.csv") df %>% kable("html"...
8038 sym R (68504 sym/62 pcs) 14 img 1 tbl
607_project1_resubmission
I used the same chess text data file suggested in the project 1 page on blackboard (so that the data is available to whoever going to run the code again). I’m first going to try to clean the data and turn into into a structured form. # structuring the data library(stringr) # indicating the separator lines separator_indices <- grep("^-+$",...
1529 sym R (9974 sym/18 pcs) 1 img
607_project2_FDA_AI
dataset#1 FDA Approval of AI Algorithms in Medicine data set. This is the wide table of the data set I have chosen: Here it is in table format form the loaded data frame from the CSV file imported into R: library(kableExtra) df <- read.csv("https://raw.githubusercontent.com/unsecuredAMRAP/607/main/AI-FDA_wide-table.csv") df %>% kable("html"...
6570 sym R (21270 sym/54 pcs) 14 img 1 tbl
605_week6_hm
Problem 1 So it can be RRRRR or GRRRR (no order). I used paper and by hand, using binomial distribution: ways of getting 4 red = 7!(4!*(7-4)!) = 35 ways of getting 1 green = 5 ways of getting 5 red = 1 total ways = 35*5 + 1 = 176 Using R: green_jellybeans <- 5 red_jellybeans <- 7 # no green jellybeans are withdrawn (5 reds) ways_1 <- 1 # 1 gree...
2559 sym
607_wek5hm
Building the table and creating a CSV file from it, then saving it.The wide structure of the table is preserved while creating the table and df. library(tibble) library(readr) library(tidyr) library(dplyr) library(kableExtra) data <- list( Airline = c("ALASKA", "ALASKA", "AM WEST", "AM WEST"), Status = c("on time", "delayed", "on time...
1419 sym R (4309 sym/11 pcs) 3 tbl
607_week5Discussion
This is the wide table of the data set I have chosen: Here it is in table format form the loaded data frame from the CSV file imported into R: Type.of.FDA.approval Mention.of.AI.in.announcement X X.1 X.2 X.3 Modality X.4 X.5 X.6 X.7 X.8 Clinical.Discipline X.9 X.10 X.11 artificial intelligence machine learning ...
149 sym 1 img 1 tbl