Publications by Varun Prakash
Lab2 ANLY512 Late fall 2023
Lab 2 Varun Prakash — 2023-03-19 This dashboard is based on publicly available data collected from NOAA website. Source: [NOAA] (https://www.ncdc.noaa.gov/cag/statewide/mapping) ANLY 512: Data Visualization: Lab 2 - Data Exploration and Analysis Laboratory Overview Climate change and science has been an issue for discussion and debate fo...
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Anly 512 - course project
Course project: Covid-19 data analysis from local urgent care Varun Prakash — 2023-03-17 Table of Contents Data Dashboard: Covid 19 urgent care (Greenville, NC) Introduction Row Overview On January 15, 2023 I contracted Covid-19. This was despite the two covid shots (Moderna) and a booster over the last one and a half years. Next severa...
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Lab 1_Varun Prakash_ANLY 512_Late Fall 2023
ANLY 512 - Lab 1 Varun Prakash — 2023-03-14 Table of Contents Introduction Overview ETF Performances Detail Conclusion Introduction 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 ...
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Lab 1_Varun Prakash_ANLY 512_Late Fall 2023
Table of Contents Introduction Overview Companys Stocks Performances Detail Conclusion Introduction 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 ...
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Varun Prakash_ANLY505-2023-late fall.html
Chapter 14 - Adventures in Covariance This chapter extended the basic multilevel strategy of partial pooling to slopes as well as intercepts. Accomplishing this meant modeling covariation in the statistical population of parameters. The LKJcorr prior was introduced as a convenient family of priors for correlation matrices. You saw how covariance mo...
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Varun Prakash_ANLY505-2023-Late fall Semester.html
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 o...
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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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Varun Prakash_ANLY505-2023-late fall.html
Chapter 12 - Monsters & Mixtures This chapter introduced several new types of regression, all of which are generalizations of generalized linear models (GLMs). Ordered logistic models are useful for categorical outcomes with a strict ordering. They are built by attaching a cumulative link function to a categorical outcome distribution. Zero-infla...
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Varun Prakash_ANLY505-2023-Late fall.html
Chapter 9 - Markov Chain Monte Carlo This week has been an informal introduction to Markov chain Monte Carlo (MCMC) estimation. The goal has been to introduce the purpose and approach MCMC algorithms. The major algorithms introduced were the Metropolis, Gibbs sampling, and Hamiltonian Monte Carlo algorithms. Each has its advantages and disadvanta...
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Varun prakash, ANLY 512, Late fall 2023.html
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. Before we begin studying data visualizations we need to develop some data wrangling skills. We will use these skills to wrangle our data i...
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