On the Analysis and Prediction of Recessions in the USA

This chapter explores recessions in the United States of America. Datasets are collected from a variety of locations including the Federal Reserve Economic Data (FRED) and from the website of Yale professor and Nobel laureate Dr. Robert J. Shiller. A classifier model is constructed which predicts recessions and this model is analyzed for useful insights.

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Real S&P Composite Moving Average

Recently, I have been experimenting with windowing functions for time series data. While trying out my code, I came up with a nice and (somewhat) thought-provoking plot.

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A Brief Analysis of Survey Data from a Speed Dating Event

In this post, survey data collected from several speed dating events is analyzed. The events were conducted between 2002 and 2004 by two professors from Columbia University: Ray Fisman and Sheena Iyengar. In addition to questions about personal interests, the survey includes academic and occupational questions as well.

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Mortality in the United States and Its Causes

In this chapter, vital statistics for the United States of America are explored. The Center for Disease Control maintains several datasets containing vital statistics for the nation. These datasets contain records of deaths organized by year. Each record includes age, gender, race, cause of death, and other details. This chapter explores data for the year 2016.

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A Statistical Analysis of Facial Attractiveness

An intermediate activation volume produced by a convolutional neural network predicting the attractiveness of a person.

Does beauty truly lie in the eye of its beholder? This chapter explores the complex array of factors that influence facial attractiveness to answer that question or at least to understand it better.

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Visualizing Bitcoin Wealth Distribution

This post explores the distribution of wealth among nonempty addresses on the Bitcoin network.

All addresses on the Bitcoin network are queried. The number of addresses with at least one satoshi is 24,473,765 at the time of the query. The resulting addresses are sorted by the amount of Bitcoin they contain. The list is divided into quantiles and the wealth of each quantile is plotted in a bar plot.

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