Publications by Josh Iden
DATA624 WK5 MBA
Code Show All Code Hide All Code HW5: MBA HW5: MBA Introduction Data Prep Market Basket Analysis Support Rules Confidence Lift Josh Iden 2023-06-30 library(tidyverse) library(kableExtra) library(arules) library(arulesViz) Introduction Imagine 1000 receipts sitting on your table. Each receipt represents a transaction with items that were ...
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DATA624 WK4
Code Show All Code Hide All Code DATA 624 HW4 DATA 624 HW4 KJ 6.3 (a) (b) (c) (d) (e) (f) Josh Iden 2023-06-20 KJ 6.3 A chemical manufacturing process for a pharmaceutical product was discussed in Sect. 1.4. In this problem, the objective is to understand the relationship between biological measurements of the raw materials (predictors), ...
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DATA624 PROJECT 1
Code Show All Code Hide All Code DATA 624 PROJECT1 DATA 624 PROJECT1 Introduction Data Import S01 Var01 Var02 S02 Var02 Var03 S03 Josh Iden 2023-06-15 Introduction This report is intended for colleagues from a variety of backgrounds and contains both technical and non-technical explanations of the work conducted. The objective of...
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DATA624 WK3
Code Show All Code Hide All Code DATA 624 HW3 DATA 624 HW3 8.1 8.2 8.6 8.8 Josh Iden 2023-06-12 8.1 Figure 8.31 shows the ACFs for random numbers, 360 random numbers, and 1,000 random numbers. a) Explain the differences among these figures. Do they all indicate that the data are white noise? These are figures for three different size sa...
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DATA624 HW2
Code Show All Code Hide All Code DATA 624 HW2 DATA 624 HW2 KJ 3.1 KJ 3.2 HA 7.1 HA 7.2 HA 7.3 Josh Iden 2023-06-11 library(tidyverse) library(corrplot) library(e1071) library(caret) library(gridExtra) library(fpp2) KJ 3.1 The UC Irvine Machine Learning Repository contains a data set related to glass identification. The data consist of 21...
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DATA624 HW1
Code Show All Code Hide All Code DATA 624 HW1 DATA 624 HW1 HA 2.1 HA 2.3 HA 6.2 Josh Iden 2023-06-02 # load packages library(tidyverse) library(fpp2) library(gridExtra) HA 2.1 Use the help function to explore what the series gold, woolyrnq and gas represent. help('gold') Time series data containing daily morning gold prices in US dollar...
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Blog 5 - Panel Regression
Introduction In this blog post, I am going to look at how Panel Regression can be used in the music business to analyze the effect of live touring on album sales and digital streams in different regions. About Panel Regression Panel data refers to data that are collected on the same set of units over time. Panel regression estimates the relationsh...
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DATA621 Blog 4 - Autocorrelation
Introduction In this blog post, I am going to look at how autocorrelation can be used in the music business to predict how digital streaming, which now accounts for 67% of total revenue in the music industry reacts to specific events such as album releases by an artist. About Autocorrelation Autocorrelation refers to the correlation of a variable ...
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DATA608 Final Project
Introduction Data Acquisition Data Wrangling Data Visualization Analysis Conclusion Appendix References Code Show All Code Hide All Code Arrests with Proximity to Wifi Kiosks Josh Iden 2023-05-07 Introduction Link NYC is a network of free Wifi Service in New York City, through which public wifi kiosks were installed beginning i...
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Blog 3 - Poisson Regression
Introduction In this blog, we’ll look at how Poisson regression can be used to predict ticket sales over time during an event sales cycle, from the beginning of sales to the conclusion of the event. About Poisson Regression Poisson regression is used to model count data, specifically the relationship between the mean of the count data and a set ...
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