Publications by Ethan Haley
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Let’s compare how similar our names are! But how? people <- c('ZuJe', 'ZegRcad', 'SliaDne', 'SollKnn', 'SnhTg', 'SnhRmia', 'SamDea', 'SsdaaRtih', 'SfrZcay', 'RdiuzEcie', 'ReeSme', 'OesHny', 'NtTiht', 'MsoDne', 'MyrCar', 'MLuhiEa', 'MrieGbila','LccMthw', 'IlmMla', ...
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PART 1: Tidy a csv table (flts <- read.csv('FlightTimes.csv')) ## X X.1 Los.Angeles Phoenix San.Diego San.Francisco Seattle ## 1 ALASKA on time 497 221 212 503 1841 ## 2 delayed 62 12 20 102 305 ## 3 NA NA NA NA ...
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Procedure Overview In this section, the goal is to build an interactive map of Orleans Parish, showing historic and geographic features to help us better understand the area. To do so, we’ll use GeoJSON data showing historic landmarks and jazz musician homes, downloaded from a New Orleans government website. The jazz homes data will be loaded w...
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New Orleans Project
Overview The goal of this project was to transform three untidy datasets and process them in ways that were useful for downstream analysis. The untidy data sources were selected from topics discussed by DATA607 students. Our project team (Daniel Moscoe, Ethan Haley, and Sean Connin) identified the following datasets for tidying, cleaning, and ana...
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file formats in R
3 ways of formatting information about dictionaries (books) XML #xmlParse('https://github.com/ebhtra/msds-607/blob/main/wk7_formats/dictionaries.xml') # can't use https (xml2df <- xmlToDataFrame('dictionaries.xml')) ## title ## 1 diccionario Salamanca de la lengua española ## 2 American He...
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CryptoPunk price modeling
5/17/2021 There are 10,000 CryptoPunks minted on the Ethereum blockchain. Each one is a Non-Fungible Token (NFT) representing ownership of a 24 X 24 pixel “portrait” of a Punk. The creators of the Punks wrote a program that generated them quasi-randomly 4 years ago and promptly gave away 90% of them to anyone who had an Ether wallet and was ...
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Untappd as a recommender
Untappd Untappd.com is an app/website that plays an important role in the craft beer world. Like Amazon.com, it serves manufacturers (breweries), vendors (bars/restaurants/stores), and consumers. Consumers use the app for free, and in return they provide data for the app and the breweries and vendors who pay Untappd for professional services, suc...
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Proj4
Introduction The purpose of this project is to develop a complete machine learning pipeline to classify incoming email as either ham or spam. And to evaluate/critique the model’s performance. Our approach to this task includes substantive steps to process our data, engineer new features (with possible predictive value), and then develop a class...
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Problem Set 1 1) Find the rank of matrix \(A = \left[\begin{array}{cc} 1 & 2 & 3 & 4\\ -1 & 0 & 1 & 3\\0 & 1 & -2 & 1\\5 & 4 & -2 & -3\end{array}\right]\) See how many pivots there are: Replace \(r_{2}\) with \(r_{2} + r_{1}\): \(\left[\begin{array}{cc} 1 & 2 & 3 & 4\\ 0 & 2 & 4 & 7\\0 & 1 & -2 & 1\\5 & 4 & -2 & -3\end{array}\right]\) Replace \(...
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For matrix \(A = \left[\begin{array}{cc} 0 & 4 & -1 & 1\\-2 & 6 & -1 & 1\\ -2 & 8 & -1 & -1\\-2 & 8 & -3 & 1\end{array}\right]\) the characteristic polynomial of \(A\) is \(p^{A}(x) = (x + 2)(x − 2)^{2}(x − 4)\) Find the eigenvalues and corresponding eigenspaces of A. Following the steps shown in this week’s Khan Acad. tutorials: To find t...
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