Publications by Jlok17
Homework #10 607
Homework #10 Introduction: The code directly below is from “Text Mining with R” by Julia Silge & David Robinson. Here we will see the common example and analysis of how text analysis is used for sentiment analysis. As seen in chapter 2, we start with Text Data then we clean up the data up for applicable use. After there is the use of senti...
1604 sym R (11972 sym/64 pcs) 7 img
Week 9 Data 607 HW
Week 9 Assignment API: Packages Needed: library(tidyverse) ## Warning: package 'tibble' was built under R version 4.2.3 ## Warning: package 'dplyr' was built under R version 4.2.3 ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.1 �...
953 sym R (2224 sym/9 pcs)
Homework #7 607
Introduction This assignment is to create 3 different types of files in order to practice loading the information into R. The 3 books I picked are ones I am currently looking at since French cuisine is something I wanted to learn more about. For this exercise, the information that are created are the Title of Book, Author(s), and certain attrib...
828 sym R (3119 sym/6 pcs)
Project 2 607
Libraries Needed library(tidyr) library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, union library(ggplot2) Importing the 3 different dataset MTA = read.table(file="htt...
4874 sym R (24321 sym/78 pcs) 17 img
Homework Week 5 607
Introduction: Libraries Needed: library(RODBC) library(ggplot2) library(tidyr) library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, union Data Acquition: I decided t...
2022 sym R (3219 sym/12 pcs) 1 img
Project 1 for DATA 607
Introduction Given the Set data set of a Chess Tournament Result I will create an R Markdown file that generates a .CSV file with the following information for all of the players: Player’s Name, Player’s State, Total Number of Points, Player’s Pre-Rating, and Average Opponents ELO. Packages/Library Needed library(tidyverse) ## ── Atta...
2205 sym R (5934 sym/14 pcs)
Homework #3 Data 607
Libraries Needed library(readr) library(stringr) Question 1 The Majors that Contain ‘Data’ and ‘Statistics’ are Computer Programming and Data Processing, Management Information Systems and Statistics, and Statistics and Decision Science. majors_list <- read_csv(url("https://raw.githubusercontent.com/fivethirtyeight/data/master/college-m...
380 sym R (5207 sym/35 pcs)
Final Project for R Bridge
What are the Average Heights Per Position during the 2018-2019 NBA Season Data Wrangling Basketball = read.table(file = "https://raw.githubusercontent.com/Jlok17/Data-Science-Projects/main/nba_players_19.csv",header = TRUE, sep = ',') df <- data.frame(Basketball) library(tidyr) library(dplyr) ## ## Attaching package: 'dplyr' ## The follow...
772 sym R (4170 sym/26 pcs) 4 img
Homework #1 Data 607
The article that was used: https://projects.fivethirtyeight.com/redlining/ Introduction The article I chose is about redlining which is practice that was known to be discriminatory. It classified areas at different levels of risk in order to determine if the neighborhoods were “bad” to investments. What I am going to attempt to do is show...
1096 sym R (9199 sym/19 pcs) 3 img
Homework #1 Bridge Course
#RBridge Week 1 Assignment #1.Write a loop that calculates 12-factorial factorial <- function(i){ x1=1; for (i in 1:i) { x1 = x1*i } return(x1) } factorial(12) ## [1] 479001600 #Bonus 1 if you wanted to find factorial for 1-12 p1 <- c(1:12) for (p in p1){ p <- factorial(p) print(p) } ## [1] 1 ## [1] 2 ## [1] 6 ## [...
360 sym