Publications by Yucheng Hu
512 Final Project
512 Final Project - Yucheng Hu Project Summary Introduction and Questions Last September, I started a new job in the state of Idaho and moved from New York to here. Since then, I have been going through an entirely different work experience also a brand-new lifestyle. I was seeking methods of illustration and visualization of this life change...
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Categorical Data Visualization
Objectives The objective of this assignment is to conduct an exploratory data analysis of a data set that you are not familiar with. In this week’s lecture, we discussed a number of visualization approaches in order to explore a data set with categorical variables. This assignment will apply those tools and techniques. An important distinction...
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Lab 2
Lab 2 - Climate Change Comparison between City and Arctic by Yucheng Hu & Yongting Tan Visualization Row Row Questions and Ideas How does global warming affect daily temperature in big cities? The daily temperature data of NYC from 1958-2019 was used as a representative of big cities. As shown in the scatterplot, the daily temperature of...
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Lab 1 - Yucheng Hu
Lab 1 Closing Prices Scatterplots Column Chart 1 Chart 2 Column Chart 3 Chart 4 Candlestick Charts Column Chart 1 Chart 2 Column Chart 3 Chart 4 Summary Column Summary Lab 1 Yucheng Hu Alibaba, Costco, Walt Disney and Qualcomm are companies which have dominated their industries. Their stock information were collected and inv...
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Document
Directions During ANLY 512 we will be studying the theory and practice of data visualization. We will be using R and the packages within R to assemble data and construct many different types of visualizations. We begin by studying some of the theoretical aspects of visualization. To do that we must appreciate the basic steps in the process of mak...
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Assignment #6_YH
Chapter 7 - Ulysses’ Compass The chapter began with the problem of overfitting, a universal phenomenon by which models with more parameters fit a sample better, even when the additional parameters are meaningless. Two common tools were introduced to address overfitting: regularizing priors and estimates of out-of-sample accuracy (WAIC and PSIS)...
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Yucheng Hu_ANLY505-2020-Late Summer
Chapter 2 - Large Worlds and Small Worlds The objectives of this problem set is to work with the conceptual mechanics of Bayesian data analysis. The target of inference in Bayesian inference is a posterior probability distribution. Posterior probabilities state the relative numbers of ways each conjectured cause of the data could have produced th...
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Assignment #4
Chapter 5 - Many Variables and Spurious Waffles This chapter introduced multiple regression, a way of constructing descriptive models for how the mean of a measurement is associated with more than one predictor variable. The defining question of multiple regression is: What is the value of knowing each predictor, once we already know the other pr...
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ANLY 505 Assignment #2 Yucheng Hu
Chapter 3 - Sampling the Imaginary This chapter introduced the basic procedures for manipulating posterior distributions. Our fundamental tool is samples of parameter values drawn from the posterior distribution. These samples can be used to produce intervals, point estimates, posterior predictive checks, as well as other kinds of simulations. Po...
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Assignment #3
Chapter 4 - Geocentric Models This chapter introduced the simple linear regression model, a framework for estimating the association between a predictor variable and an outcome variable. The Gaussian distribution comprises the likelihood in such models, because it counts up the relative numbers of ways different combinations of means and standard...
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