Publications by RJM
DATA 606 Final Exam RJM
Part I Please put the answers for Part I next to the question number (2pts each): b (gasMonth is also quantitative but would be continuous) a (left skewed with mean should be smaller than median and a reasonable median should be around 3.5 from the amount of observations) d (prospective and retrospective) a (large x2 will mean that the null hypo...
3074 sym R (7163 sym/104 pcs) 10 img 1 tbl
DATA606 Lab9 RJM
Grading the professor Many college courses conclude by giving students the opportunity to evaluate the course and the instructor anonymously. However, the use of these student evaluations as an indicator of course quality and teaching effectiveness is often criticized because these measures may reflect the influence of non-teaching related charac...
12856 sym R (5351 sym/29 pcs) 11 img 1 tbl
DATA606 Final Project Proposal
Data Preparation The following is the code for the data preparation: library(flexdashboard) library(DT) library(ggplot2) library(readxl) library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, se...
4223 sym R (11146 sym/27 pcs) 4 img
DATA 607 Discussion 11 Recommender systems
Tasks Analyze an existing recommender system that you find interesting Perform a Scenario Design analysis. Consider whether it makes sense for your selected recommender system to perform scenario design twice, once for the organization (e.g. Amazon.com) and once for the organization’s customers. Attempt to reverse engineer what you can about ...
3921 sym
DATA 607 Tidyverse assignment
rm(list = ls()) 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(stringr) Data preparation ebola_df <- read.csv("https://github.com/rjmirza...
162 sym R (3164 sym/13 pcs)