Publications by Daniel Schick
PA_Final
1. Load Packages 2. Import Data rm(list=ls()) df_train <- read.csv("C:/Users/schic/OneDrive/Documents/Predictive Analytics and Forecasting/dengue_features_train.csv") df_test <- read.csv("C:/Users/schic/OneDrive/Documents/Predictive Analytics and Forecasting/dengue_features_test.csv") df_train_results <- read.csv("C:/Users/schic/OneDrive/Documen...
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Neural Networks Discussion
1. Load Packages 2. Import Data EvictionData <- read.csv("C:/Users/schic/OneDrive/Documents/Predictive Analytics and Forecasting/Monthly Eviction Filings by Location.csv") This data set, from data.world, provides monthly evictions for 10 states and 34 cities from 2020 until 2023. Including the city, the data collection type, the GEOID, the racia...
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HTS Discussion
1. Load Packages 2. Import Data #Load Data for Healthcare Sector MRNA <- read.csv("C:/Users/schic/OneDrive/Documents/Predictive Analytics and Forecasting/MRNA.csv") PFE <- read.csv("C:/Users/schic/OneDrive/Documents/Predictive Analytics and Forecasting/PFE.csv") #Load Data for Industrials Sector GE <- read.csv("C:/Users/schic/OneDrive/Documen...
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Dynamic Regression
1. Load Packages 2. Import Data Household_Electric_Power_Consumption <- read.table("C:/Users/schic/OneDrive/Documents/Predictive Analytics and Forecasting/household_power_consumption.txt", header = TRUE, sep = ";") The data set that I imported contains data on Individual Household Electric Power Consumption. This data set contains 2075259 measure...
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ARIMA vs ETS (Active Electrical Power Consumption (Individual Household))
1. Load Packages 2. Import Data Set #import .txt file Household_Electric_Power_Consumption <- read.table("C:/Users/schic/OneDrive/Documents/Predictive Analytics and Forecasting/household_power_consumption.txt", header = TRUE, sep = ";") The data set that I imported contains data on Individual Household Electric Power Consumption. This data set ...
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Discussion#2 ETS_Updated
1. Load Packages 2. Load Data PPI_Lobsters <- read.csv("C:/Users/schic/OneDrive/Documents/Predictive Analytics and Forecasting/WPU02230503.csv") The data that I selected contains monthly data on the Producer Price Index by Commodity for Processed Foods and Feeds (Lobsters). The data contains historical Index Data from December 1991 to February 2...
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ETS Discussion
1. Load Packages 2. Load Data PPI_Lobsters <- read.csv("C:/Users/schic/OneDrive/Documents/Predictive Analytics and Forecasting/WPU02230503.csv") The data that I selected contains monthly data on the Producer Price Index by Commodity for Processed Foods and Feeds (Lobsters). The data contains historical Index Data from December 1991 to February 2...
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Decomposition Discussion
1. Load packages 2. Import Data EvictionData <- read.csv("C:/Users/schic/OneDrive/Documents/Predictive Analytics and Forecasting/Monthly Eviction Filings by Location.csv") This data set, from data.world, provides monthly evictions for 10 states and 34 cities from 2020 until 2023. Including the city, the data collection type, the GEOID, the racia...
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Heteroskedasticity Discussion (Whites Test)
1. Issue Summary What is Heteroskedasticity? Heteroskedasticity is an issue where the variance of the errors or residuals in a regression model is not constant across different predictors. This can be caused by outliers in the data or by omitted variable biases. Heteroskedasticity results in biased estimates of the standard errors, and unbiase...
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Panel Data Discussion
library(AER) ## Warning: package 'AER' was built under R version 4.2.3 ## Loading required package: car ## Loading required package: carData ## Loading required package: lmtest ## Warning: package 'lmtest' was built under R version 4.2.3 ## Loading required package: zoo ## Warning: package 'zoo' was built under R version 4.2.3 ## ## Attaching pac...
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