Publications by Bharani Nittala, Eric Lehmphul, Joshua Hummell
Statistical Movie Analysis
Overview The goal of this project is twofold to complete the requirements of Data 606 and 607. For this, it will be a combination of data engineering and data science. I will be pulling the top 200 (if available) movies for each genre in IMDB, then the same movies from other movie review sites, Metacritic, and Cinemascore. The goal is to see if ...
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Web Recommender Systems
Google.com Google.com is the king of the web. Undeniably, it has become the go to place for searching the internet for more than half the world’s population. However, I am going to talk about one of the often more overlooked tools that Google has, the Play Store, used by over 2 Billion people on Android. I talk about this over Goggle’s Search...
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Data 608 Homework 1
Homework One Joshua Hummell Principles of Data Visualization and Introduction to ggplot2 I have provided you with data about the 5,000 fastest growing companies in the US, as compiled by Inc. magazine. lets read this in: inc <- read.csv("https://raw.githubusercontent.com/charleyferrari/CUNY_DATA_608/master/module1/Data/inc5000_data.csv", header...
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Assignment One
Assignment One: Baseball Data Exploration This assignment reviews a baseball dataset, which looks at teams across a number of different features. We’ll be building a number of linear regression models and comparing their efficacy. To start, we will explore the dataset: its shape, composition, and any information that may help with future data ...
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621_final
Load in data bankruptcy <- read.csv("https://raw.githubusercontent.com/cmm6/data608/main/bankruptcy.csv", header=TRUE, sep = ",") #bankruptcy <- read.csv("bankruptcy.csv", header=TRUE, sep = ",") Data Exploration Then we’ll take a look at the dataset. head(bankruptcy) ## Bankrupt. ROA.C..before.interest.and.depreciation.before.interest ## ...
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