Publications by Jonathan Burns
Story 2 : JBurns
Instructions The Federal Reserve’s mandate from Congress is to control inflation and to maintain low unemployment. These seem to be contradictory objectives. For this story you will need to source the following data for the last 25 years; The Consumer Price Index (CPI) (Bureau of Labor Statistics) The FED Funds Rate (FRED) (Federal Reserve Boa...
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Week 3 Homework 2 - JBurns
library(tsibble) library(fpp3) library(readxl) library(seasonal) Questions Do exercises 3.1, 3.2, 3.3, 3.4, 3.5, 3.7, 3.8 and 3.9 from the online Hyndman book. Please include your Rpubs link along with.pdf file of your run code 3.1 Consider the GDP information in global_economy. Plot the GDP per capita for each country over time. Which cou...
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Week 2 JBurns Data 624
Load Libraries library(tsibble) library(fpp3) library(readxl) Assignment: Please submit exercises 2.1, 2.2, 2.3, 2.4, 2.5 and 2.8 from the Hyndman online Forecasting book. Please submit both your Rpubs link as well as attach the .pdf file with your code. Excersise 2.1 Q1: Use ? (or help()) to find out about the data in each series. help(au...
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Final_Project_JBurns_DATA_605
library(tidyverse) library(moments) library(ggcorrplot) library(reshape2) library(naniar) library(corrplot) library(DescTools) Import the data Note I just downloaded the data from Kaggle and uploaded it to my GitHub, then pulled the data in that way test<-read.csv("https://raw.githubusercontent.com/jonburns2454/DATA-605/main/final_data/test...
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HW 15 JBurns
1. Find the equation of the regression line for the given points. Round any final values to the nearest hundredth, if necessary. ( 5.6, 8.8 ), ( 6.3, 12.4 ), ( 7, 14.8 ), ( 7.7, 18.2 ), ( 8.4, 20.8 ) x <- c(5.6, 6.3, 7, 7.7, 8.4) y <- c(8.8, 12.4, 14.8, 18.2, 20.8) ## Create df points <- data.frame(x,y) model <- lm(y~x,data=points) summary(...
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HW 14 JBurns
ASSIGNMENT 14 - TAYLOR SERIES This week, we’ll work out some Taylor Series expansions of popular functions \(f(x) = \frac{1}{(1-x)}\) \(f(x) = e^x\) \(f(x) = ln(1 + x)\) \(f(x) = x^{\frac{1}{2}}\) For each function, only consider its valid ranges as indicated in the notes when you are computing the Taylor Series expansion. Please submit your...
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Week 13 Discussion JBurns
Excersise 4.2 #9 A 24ft. ladder is leaning against a house while the base is pulled away at a constant rate of ft/s. At what rate is the top of the ladder sliding down the side of the house when the base is: First the equation needs to be derived with respect to time: \[ x^2 + y^2 = 24^2\\ 2x \frac{dx}{dt} + 2y \frac{dy}{dt} = 0\] \[-\frac{x}{y}...
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HW 13 JBurns
1. Use integration by substitution to solve the integral below. \[\int 4e^{-7x} dx\] a. Sub in U for -7x \(u = -7x\) \(du = -7dx\) \(dx = \frac{du}{-7}\) b. Re-write as: \[\int 4e^{u}*-\frac{du}{7}\] c. Pull out dx \[ -\frac{4}{7} \int 4e^{u}*du\] d. Lastly integrate remaining problem and replace u \[\frac{-4}{7}e^{u}+C \rightarrow \frac{-4...
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HW Week 12 JBurns
Import WHO csv file <- "C:\\Users\\jashb\\OneDrive\\Documents\\Masters Data Science\\Spring 2024\\Fundamentals of Computational Mathematics DATA 605\\Week 12\\who.csv" who <- read.csv(file) 1. Provide a scatterplot of LifeExp~TotExp, and run simple linear regression. Do not transform the variables. Provide and interpret the F statistics, R^2, s...
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WK11 Discussion JBurns
Kaggle Link: https://www.kaggle.com/datasets/sakshisatre/the-boston-housing-dataset file = "C:\\Users\\Jonathan Burns\\OneDrive\\Documents\\Masters Data Science\\Spring 2024\\DATA 605\\Boston (1).csv" df <- read.csv(file) There were a bunch more variables but I picked the 5 I thought would be the most impactful. model <- lm(MEDV ~ CRIM + AGE + DI...
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