Publications by Aayush Sethi
Updated Opioids Research
1. Data Overview Summary Statistics 2. EDA Total Deaths Overdose Deaths per 100k by State Year over Year Trend Year over Year State Trends 3. Modeling Correlation OLS Fixed Effects Model Random Effects Model Hausman test Fixed Effects with loged independent variables Rando...
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Opioid Overdose Analysis
Part 1 – analyzing data library(readxl) data <- read_excel("690_data8.xlsx") attach(data) obtain the dimension and inspect the structure is.data.frame(data) ## [1] TRUE str(data) ## tibble [663 × 24] (S3: tbl_df/tbl/data.frame) ## $ state : chr [1:663] "Alabama" "Alabama" "Alabama" "Alabama" ... ## $ stateid ...
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Modeling Stadium Utilisation
Objective Of this Research This research focuses on analyzing stadium utilization of all 20 clubs in the English Premier League 2018/19 season of all games played. In particular, this project tests the potential of different statistical models to predict stadium utilization based on home and away points per game, and total goals scored. Models i...
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ECON 505: First Draft
OPIOID EPIDEMIC: A PANEL STUDY OF ITS SOCIAL AND ECONOMIC RAMIFICATIONS DATA OVERVIEW & PROCESSING. We have to make prison,homeless pop & overdoses into ratios. Now that we have the population rates, we can drop the hless_pop, prison_pop & overdoses columns. VIZUALIZATIONS Using Boxplots for checking data outliers. There are not a lot of outlie...
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Datavations
Datavations Aayush Sethi 10th November, 2020 Loading Data data <- read.csv(file = "~/Desktop/data2.csv") attach(data) summary(data) ## Location DPCI Aug.Wk.1.2020 Aug.Wk.2.2020 ## Length:8856 Length:8856 Min. : 0.000 Min. :-5.000 ## Class :character Class :character 1st Qu.: 2.000 1st ...
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AS_DATA5070
Getting the data & necessary libraries library(haven) df <- read_sav("./Desktop/saldataassignment1.sav") attach(df) str(df) ## tibble [1,422 × 48] (S3: tbl_df/tbl/data.frame) ## $ country: dbl+lbl [1:1422] 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,... ## ..@ label : chr "Country from where data were obtained" ## ..@ format...
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5060_research
Objective Descriptive Statistics Regression Objective In this brief research we are trying to investigate the impact of over-population on economic growth and development in India. Research questions: Is there a negative relationship between population growth and Consumer Price Index (CPI)? Is there a positive relationship between population ...
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Assignment 3
Objective PART 1: Data Exploration & Cleaning PART 2: Linear Discrimamnt Analysis (LDA) PART 3: Logistic Regression Objective Preamble—A researcher completed a study with the general goal of determining what kind of factors contribute to a woman who recently gave birth to a child having a positive childbirth experience. A sample of 276 women ...
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DATA 4100: Case Problem 1: measuring stoCk market risk
Objective Regression Summary and interpretetion Objective Betas for individual stocks are determined by simple linear regression. The dependent variable is the total return for the stock and the independent variable is the total return for the stock market. For this case problem we will use the S&P 500 index as the measure of the total return f...
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