Publications by Qin Shen
512 final
Final project: Data Visualization Qin Shen — 02/19/2020 Overview This visulization dashborad is for the analysis of my daily Activities and Sleep. Data I collected is from Fitbit, which is a sports band I wear everyday to track my daily activity. I think it will be quiet interesting to see my living pattern and if I live in a health lif...
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512 hw2
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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512 LAB1
ANLY 512: Lab1 Qin Shen — 2019-12-18 Instruction Row Overview Due to the inherent growth in the electronic production and storage of information, there is often a feeling of “information overload” or inundation when facing the process of quantitative decision making. As an analyst your job will often be to conduct analyses or crea...
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512 hw1
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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lab 2 512
ANLY 512 LAB 2 Qin Shen — 01/22/2020 Introduction Climate Change Dashboard Earth’s climate is now changing much faster than before. It has already resulted in a wide impact on many aspects in this planet, such as extreme temperature, Carbon Dioxide levels arise and more. To depict the climate change, this dashboard will provide data ...
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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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Anly 505 Assignment 2
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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QinShen_ANLY505-2021-latespring.html
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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Document
Chapter 13 - Models With Memory This chapter has been an introduction to the motivation, implementation, and interpretation of basic multilevel models. It focused on varying intercepts, which achieve better estimates of baseline differences among clusters in the data. They achieve better estimates, because they simultaneously model the population...
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Document
Chapter 11 - God Spiked the Integers This chapter described some of the most common generalized linear models, those used to model counts. It is important to never convert counts to proportions before analysis, because doing so destroys information about sample size. A fundamental difficulty with these models is that parameters are on a different...
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