Publications by Susanna Wong
Data 607 Project 1 Extra Credit
Introduction In project 1, we were given a text file with chess tournament results. The goal of the project was to tidy the data in r, calculate the average pre chess rating of opponents, and generate a .CSV file. In this extra credit assignment, we identify the top 5 over performers and under performers by comparing the player’s actual score and...
3310 sym R (9808 sym/13 pcs) 1 img 2 tbl
DATA 607 Assignment 4
Import Data The flight data is stored here. The data is imported into R. library(tidyr) library(dplyr) library(DT) flight_data <- read.csv('https://raw.githubusercontent.com/suswong/Data-607-Assignments/main/Flight%20Data.csv') datatable(flight_data) Below is a list of issues with the data formatting: 1. The first two column has incorrect column ...
3072 sym R (2825 sym/11 pcs) 2 img 1 tbl
DATA 607
Read Txt File in r I read the txt file into R, and remove the rows that contains dashes. 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(tidyr) library(DT) ...
514 sym R (27602 sym/21 pcs)
DATA 607
Read Txt File in r I read the txt file into R, and remove the rows that contains dashes. 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(tidyr) library(DT) ...
514 sym R (27745 sym/21 pcs)
DATA 607 Assignment 3
#1. Using the 173 majors listed in fivethirtyeight.com’s College Majors dataset [https://fivethirtyeight.com/features/the-economic-guide-to-picking-a-college-major/], provide code that identifies the majors that contain either “DATA” or “STATISTICS” major <- read.csv('https://raw.githubusercontent.com/fivethirtyeight/data/master/college-m...
2086 sym R (1641 sym/21 pcs)
DATA 607 Assignment 1
Introduction The article provide information for college students on choosing a major that will allow them to have a higher chance of economic success. The major category, unemployment rate, and gender can play a role in their economic success. Data The data set I used is from FiveThirtyEight. The article and data can be found in the links below...
1899 sym R (2084 sym/13 pcs) 3 img