Project 2 Sayaka
Sayaka
2024-04-13
Source: Information Families
Install Datasets
library(tidyverse)
library(tidyr)
setwd("D:/Data 110/Week 11")
drug <- read_csv("new_drug-deaths-a-story-of-growing-opiod-abuse_kaggle.csv")Unveiling the Opioid Crisis in Connecticut: Geographic and Demographic Disparities in Drug Deaths
A story of growing Opiod abuse
a: Unveiling the Opioid Crisis in Connecticut: Geographic and Demographic Disparities in Overdose Deaths a. The topic of the data, any variables included, what kind of variables they are, where the data came from and how you cleaned it up (be detailed and specific, using proper terminology where appropriate). Be sure to explain why you chose this topic and dataset – what meaning does it have for you? This part of the essay must go at the beginning, before you load data and libraries.
Introduction
The opioid crisis remains a prime public health problem within the United States. In this analysis, I propose to explore styles of drug deaths in Connecticut. Specifically, I’m interested in information on whether or not there are variations throughout one of a kind cities or demographic agencies. To conduct this evaluation, I obtained a dataset titled “Drug-deaths-a-tale-of deaths-growing-opiod-abuse” from Data 110 dataset. (Original: Kaggle) The dataset includes variables together with age, gender, town of residence, 12 months of dying, and purpose of loss of life (with a focus on opioids). During records cleaning, I addressed missing values and inconsistencies in date formatting. My interest in this topic stems from a choice to understand the nearby effects of the opioid disaster. I have heard Connecticut is hightly safe state in the United States. I’m sorry to say, according to Connecticut Department of Emergency Services and Public Protection, even in this state, which has the impression of being highly safe, the increase in unemployment due to the lockdown during the pandemic has made that situation worse. It probably goes without saying that the lockdown has limited access to counseling and clinics, and those who are affected by it have a mental illness and have nowhere to flee, so they turn to drugs.
Source used / Data 110 database Original Source https://fairfieldct.org/service/health_department/opioids.php Connecticut Department of Emergencey Services and Public Protection https://portal.ct.gov/despp
library(highcharter)## Registered S3 method overwritten by 'quantmod':
## method from
## as.zoo.data.frame zoolibrary(dplyr)
library(plotly)##
## 次のパッケージを付け加えます: 'plotly'## 以下のオブジェクトは 'package:ggplot2' からマスクされています:
##
## last_plot## 以下のオブジェクトは 'package:stats' からマスクされています:
##
## filter## 以下のオブジェクトは 'package:graphics' からマスクされています:
##
## layoutlibrary(ggplot2)
library(ggfortify)
df_summary <- drug |>
group_by(Year) |>
summarise(Case_Number = n())
introplot <- ggplot(df_summary, aes(x = Year, y = Case_Number)) +
geom_point(color = "darkseagreen4", size = 4) +
geom_line(alpha = 0.3, color = "green4", linetype = "solid", size = 2) +
labs(title = "Drug Cases Per Year",
subtitle = "2012-2017 (estimated)",
caption = "Source: Drug Deaths, Kaggle",
x = "Year",
y = "Case Number") +
theme_classic() +
theme(panel.background = element_rect(fill = "azure"))## Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
## ℹ Please use `linewidth` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.introplot## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).
ggplotly(introplot)Drug death cases in the U.S. are rising steadily year after year.
Emiliate unnecessary coloumns from the dataflame
Particulaly, this dataset is for all Connecticut - so I eliminated residence state.
drug2 <- drug |>
select(-DescriptionofInjury,-Residence_State, -DeathLoc,-Date, -Month)
head(drug2)## # A tibble: 6 × 31
## CaseNumber Year Sex Race Age Residence_City Residence_County
## <chr> <dbl> <chr> <chr> <dbl> <chr> <chr>
## 1 13-16336 2013 Female White 53 GROTON NEW LONDON
## 2 12-18447 2012 Male White 30 WOLCOTT NEW HAVEN
## 3 14-2758 2014 Male White 43 ENFIELD <NA>
## 4 14-13497 2014 Female White 24 WALLINGFORD <NA>
## 5 13-14421 2013 Female White 26 WEST HAVEN NEW HAVEN
## 6 13-18018 2013 Female White 45 RIDGEFIELD FAIRFIELD
## # ℹ 24 more variables: New_Residence_County <chr>, Death_City <chr>,
## # Death_State <chr>, Death_County <chr>, New_Death_County <chr>,
## # Location <chr>, InjuryPlace <chr>, ImmediateCauseA <chr>, Heroin <chr>,
## # Cocaine <chr>, Fentanyl <chr>, Oxycodone <chr>, Oxymorphone <chr>,
## # EtOH <chr>, Hydrocodone <chr>, Benzodiazepine <chr>, Methadone <chr>,
## # Amphet <chr>, Tramad <chr>, Morphine_not_heroin <chr>, Other <chr>,
## # Any_Opioid <chr>, MannerofDeath <chr>, AmendedMannerofDeath <chr>Get name of values
names(drug2)## [1] "CaseNumber" "Year" "Sex"
## [4] "Race" "Age" "Residence_City"
## [7] "Residence_County" "New_Residence_County" "Death_City"
## [10] "Death_State" "Death_County" "New_Death_County"
## [13] "Location" "InjuryPlace" "ImmediateCauseA"
## [16] "Heroin" "Cocaine" "Fentanyl"
## [19] "Oxycodone" "Oxymorphone" "EtOH"
## [22] "Hydrocodone" "Benzodiazepine" "Methadone"
## [25] "Amphet" "Tramad" "Morphine_not_heroin"
## [28] "Other" "Any_Opioid" "MannerofDeath"
## [31] "AmendedMannerofDeath"Filter “Death_State” and Group-By Date and Death City
filtered_drug <- drug2 |>
filter(!is.na(Death_State)) |>
group_by(Year, Death_City)
head(filtered_drug)## # A tibble: 6 × 31
## # Groups: Year, Death_City [6]
## CaseNumber Year Sex Race Age Residence_City Residence_County
## <chr> <dbl> <chr> <chr> <dbl> <chr> <chr>
## 1 15-10196 2015 Male White 50 DANBURY FAIRFIELD
## 2 15-10732 2015 Male White 20 STAFFORD SPRIN… TOLLAND
## 3 15-10989 2015 Male Hispanic, White 43 NAUGATUCK NEW HAVEN
## 4 15-9564 2015 Male White 54 NEW HAVEN NEW HAVEN
## 5 15-15001 2015 Female White 57 NORTH CANAAN LITCHFIELD
## 6 15-7074 2015 Female Hispanic, White 42 MIDDLETOWN MIDDLESEX
## # ℹ 24 more variables: New_Residence_County <chr>, Death_City <chr>,
## # Death_State <chr>, Death_County <chr>, New_Death_County <chr>,
## # Location <chr>, InjuryPlace <chr>, ImmediateCauseA <chr>, Heroin <chr>,
## # Cocaine <chr>, Fentanyl <chr>, Oxycodone <chr>, Oxymorphone <chr>,
## # EtOH <chr>, Hydrocodone <chr>, Benzodiazepine <chr>, Methadone <chr>,
## # Amphet <chr>, Tramad <chr>, Morphine_not_heroin <chr>, Other <chr>,
## # Any_Opioid <chr>, MannerofDeath <chr>, AmendedMannerofDeath <chr>Filter the Year - 2015,2016,2017
filtered_drug = filtered_drug[any(filtered_drug$Year %in% c(2015, 2016, 2017))]
drug_summary <- summary(filtered_drug)
drug_summary## CaseNumber Year Sex Race
## Length:2200 Min. :2015 Length:2200 Length:2200
## Class :character 1st Qu.:2015 Class :character Class :character
## Mode :character Median :2016 Mode :character Mode :character
## Mean :2016
## 3rd Qu.:2017
## Max. :2017
## Age Residence_City Residence_County New_Residence_County
## Min. :17.00 Length:2200 Length:2200 Length:2200
## 1st Qu.:31.00 Class :character Class :character Class :character
## Median :41.00 Mode :character Mode :character Mode :character
## Mean :41.86
## 3rd Qu.:52.00
## Max. :73.00
## Death_City Death_State Death_County New_Death_County
## Length:2200 Length:2200 Length:2200 Length:2200
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
## Location InjuryPlace ImmediateCauseA Heroin
## Length:2200 Length:2200 Length:2200 Length:2200
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
## Cocaine Fentanyl Oxycodone Oxymorphone
## Length:2200 Length:2200 Length:2200 Length:2200
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
## EtOH Hydrocodone Benzodiazepine Methadone
## Length:2200 Length:2200 Length:2200 Length:2200
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
## Amphet Tramad Morphine_not_heroin Other
## Length:2200 Length:2200 Length:2200 Length:2200
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
## Any_Opioid MannerofDeath AmendedMannerofDeath
## Length:2200 Length:2200 Length:2200
## Class :character Class :character Class :character
## Mode :character Mode :character Mode :character
##
##
## Heatmap
Take a look drug deaths by age with heatmap.
library(ggplot2)
age_year_count <- as.data.frame(table(filtered_drug$Year, filtered_drug$Age))
names(age_year_count) <- c("Year", "Age", "CaseNumber")
# Create the heatmap
plot1 <- ggplot(age_year_count, aes(x = Age, y = Year, fill = CaseNumber)) +
geom_tile() +
scale_fill_gradient(low = "white", high = "blue") +
labs(x = "Age", y = "Year", fill = "Count") +
labs(title = "Drug Deaths by Age",
subtitle = "2015-2017",
caption = "Drug Deaths:Kaggle") +
theme(axis.text.x = element_text(angle = 90, hjust = 1))
plot1
The age institution 25-35 reports the very best peak in drug deaths.
Age distribution by Race and Sex
library(ggplot2)
library(plotly)
library(RColorBrewer)
filtered_drug2 <- filtered_drug |>
filter(!is.na(Race) &
!is.na(Age) &
!is.na(Sex)) |>
group_by(Race, Year, Age)
custom_colors <- c("#FF9999", "#66B3FF", "#99FF99", "#FFCC99", "#C2C2F0", "#E74C3C", "#33CCFF", "#D62728", "#2CA02C")
plot2 <-ggplot(filtered_drug2, aes(x = Age, fill = Race)) +
geom_histogram(alpha = 0.8, position = "dodge", bins = 30) +
scale_fill_manual(values = custom_colors) +
facet_wrap(~Race + Sex, scales = "free_y") +
theme_minimal() +
labs(title = "Age distribution by Race and Sex", x = "Age", y = "Count",
subtitle = "2015-2017",
caption = "Source: Drug Deaths/ Kaggle")
plot2
xlim(30, 50) ## <ScaleContinuousPosition>
## Range:
## Limits: 30 -- 50ylim(30,50)## <ScaleContinuousPosition>
## Range:
## Limits: 30 -- 50theme(plot.width = 8, plot.height = 12)## List of 2
## $ plot.width : num 8
## $ plot.height: num 12
## - attr(*, "class")= chr [1:2] "theme" "gg"
## - attr(*, "complete")= logi FALSE
## - attr(*, "validate")= logi TRUEData indicates that drug overdose deaths are greater among both males and females. While drug deaths can occur in any racial or ethnic group, the plot indicates a disproportionate impact on white groups. Drug deaths disproportionately affect specific demographics, with better rates discovered among both guys and white individuals.
Liner regression model
linear_drug <- filtered_drug2 |>
filter(!is.na(Residence_City) &
!is.na(New_Residence_County)&
!is.na(New_Death_County) &
!is.na(Death_City) &
!is.na(Location)&
!is.na(MannerofDeath)&
!is.na(InjuryPlace)) |>
select(Year, Sex, Race, Age, Residence_City, New_Residence_County,Death_City, New_Death_County, Location, MannerofDeath, InjuryPlace)
model <- lm(Year ~ Age+ Sex + Race+ Residence_City + Death_City + New_Residence_County + New_Death_County + Location + MannerofDeath + InjuryPlace, data = filtered_drug2)
summary(model)##
## Call:
## lm(formula = Year ~ Age + Sex + Race + Residence_City + Death_City +
## New_Residence_County + New_Death_County + Location + MannerofDeath +
## InjuryPlace, data = filtered_drug2)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.86410 -0.25851 0.00000 0.09096 0.85412
##
## Coefficients: (158 not defined because of singularities)
## Estimate Std. Error t value
## (Intercept) 2.015e+03 6.549e-01 3076.374
## Age -1.807e-03 1.060e-03 -1.705
## SexMale 2.607e-02 2.904e-02 0.898
## RaceAsian, Other -4.948e-02 3.387e-01 -0.146
## RaceBlack -1.593e-01 2.573e-01 -0.619
## RaceChinese -2.530e-01 6.329e-01 -0.400
## RaceHispanic, Black -1.427e-01 3.179e-01 -0.449
## RaceHispanic, White -1.903e-01 2.561e-01 -0.743
## RaceOther -5.570e-01 4.128e-01 -1.349
## RaceUnknown -1.206e-01 3.463e-01 -0.348
## RaceWhite -2.368e-01 2.539e-01 -0.933
## Residence_CityANDOVER 5.679e-02 5.808e-01 0.098
## Residence_CityAnsonia 1.573e+00 8.898e-01 1.768
## Residence_CityANSONIA 4.290e-01 5.739e-01 0.747
## Residence_CityARLINGTON HEIGHTS -1.514e+00 8.062e-01 -1.878
## Residence_CityAshford 2.021e+00 5.805e-01 3.481
## Residence_CityAstoria 2.037e+00 6.658e-01 3.059
## Residence_CityAvon 2.007e+00 5.798e-01 3.462
## Residence_CityAVON 3.654e-01 8.162e-01 0.448
## Residence_CityBEACON FALLS 1.042e+00 5.803e-01 1.795
## Residence_CityBerlin 1.767e+00 6.680e-01 2.645
## Residence_CityBERLIN 6.912e-01 6.018e-01 1.148
## Residence_CityBethany 1.648e+00 7.481e-01 2.203
## Residence_CityBETHANY -1.988e-02 5.799e-01 -0.034
## Residence_CityBETHEL 5.119e-01 6.892e-01 0.743
## Residence_CityBloomfield 1.897e+00 6.108e-01 3.106
## Residence_CityBLOOMFIELD 6.943e-02 5.810e-01 0.120
## Residence_CityBOLTON -1.665e-01 6.594e-01 -0.252
## Residence_CityBranford 1.712e+00 6.643e-01 2.577
## Residence_CityBRANFORD 4.341e-01 5.980e-01 0.726
## Residence_CityBREWSTER 1.330e-01 6.748e-01 0.197
## Residence_CityBridgeport 1.584e+00 6.674e-01 2.373
## Residence_CityBRIDGEPORT 1.682e-01 5.525e-01 0.304
## Residence_CityBridgewater 1.989e+00 5.798e-01 3.431
## Residence_CityBristol 1.724e+00 6.089e-01 2.831
## Residence_CityBRISTOL -1.115e-01 5.375e-01 -0.207
## Residence_CityBronx 1.964e+00 5.873e-01 3.345
## Residence_CityBROOKFIELD 2.897e-01 6.444e-01 0.450
## Residence_CityBrooklyn 1.978e+00 5.829e-01 3.394
## Residence_CityBROOKLYN 7.124e-02 5.811e-01 0.123
## Residence_CityBurlington 2.039e+00 5.091e-01 4.004
## Residence_CityBURLINGTON -3.614e-03 5.798e-01 -0.006
## Residence_CityCANAAN 8.752e-02 6.892e-01 0.127
## Residence_CityCanterbury 2.020e+00 5.799e-01 3.483
## Residence_CityCANTERBURY 1.807e-02 5.799e-01 0.031
## Residence_CityCanton 2.000e+00 5.798e-01 3.450
## Residence_CityChaplin 1.924e+00 7.008e-01 2.746
## Residence_CityCHAPLIN 5.122e-01 6.515e-01 0.786
## Residence_CityCHELSEA 4.772e-01 6.991e-01 0.683
## Residence_CityCheshire 1.739e+00 6.619e-01 2.628
## Residence_CityCHESHIRE 3.317e-01 6.222e-01 0.533
## Residence_CityCHICOPEE -2.510e-01 7.273e-01 -0.345
## Residence_CityCLERMONT 7.427e-01 6.788e-01 1.094
## Residence_CityClinton 2.035e+00 5.025e-01 4.050
## Residence_CityCLINTON 1.213e+00 6.872e-01 1.764
## Residence_CityColchester 1.569e+00 8.487e-01 1.849
## Residence_CityCOLCHESTER 5.419e-01 5.026e-01 1.078
## Residence_CityColumbia 1.897e+00 1.047e+00 1.811
## Residence_CityCOLUMBIA 2.800e-01 4.586e-01 0.611
## Residence_CityCOLUMBUS 1.385e-01 7.730e-01 0.179
## Residence_CityCos Cob 1.986e+00 5.798e-01 3.424
## Residence_CityCosta Mesa 1.807e+00 5.844e-01 3.092
## Residence_CityCoventry 1.638e+00 6.093e-01 2.688
## Residence_CityCOVENTRY 1.519e-01 6.134e-01 0.248
## Residence_CityCragford 1.532e+00 8.897e-01 1.721
## Residence_CityCromwell 1.903e+00 7.012e-01 2.714
## Residence_CityDanbury 1.995e+00 4.335e-01 4.602
## Residence_CityDANBURY 3.584e-01 6.538e-01 0.548
## Residence_CityDanielson 1.904e+00 5.811e-01 3.277
## Residence_CityDANIELSON -9.953e-02 5.810e-01 -0.171
## Residence_CityDARIEN 9.501e-01 8.250e-01 1.152
## Residence_CityDayville 2.043e+00 5.030e-01 4.062
## Residence_CityDAYVILLE 1.073e+00 5.811e-01 1.846
## Residence_CityDEEP RIVER 1.005e+00 5.798e-01 1.734
## Residence_CityDerby 1.786e+00 8.899e-01 2.007
## Residence_CityDERBY 4.699e-01 5.872e-01 0.800
## Residence_CityDOVER PLAINS 9.103e-01 5.888e-01 1.546
## Residence_CityDURHAM -4.793e-01 7.866e-01 -0.609
## Residence_CityEAST HADDAM -2.634e-02 6.542e-01 -0.040
## Residence_CityEast Hampton 2.032e+00 4.737e-01 4.290
## Residence_CityEAST HAMPTON -9.876e-02 5.816e-01 -0.170
## Residence_CityEast Hartford 1.946e+00 6.168e-01 3.154
## Residence_CityEAST HARTFORD -2.386e-01 5.464e-01 -0.437
## Residence_CityEast Haven 2.018e+00 4.431e-01 4.555
## Residence_CityEAST HAVEN 3.451e-01 5.764e-01 0.599
## Residence_CityEast Windsor 2.222e+00 7.145e-01 3.109
## Residence_CityEAST WINDSOR 5.150e-01 6.509e-01 0.791
## Residence_CityEllenburg Depot 1.995e+00 7.068e-01 2.823
## Residence_CityELLINGTON 5.227e-01 7.308e-01 0.715
## Residence_CityEnfield 2.035e+00 4.391e-01 4.634
## Residence_CityENFIELD -2.529e-01 5.833e-01 -0.434
## Residence_CityESSEX 1.084e-02 5.798e-01 0.019
## Residence_CityFairfield 1.561e+00 7.432e-01 2.100
## Residence_CityFAIRFIELD 1.449e-01 5.675e-01 0.255
## Residence_CityFall River 1.766e+00 1.167e+00 1.513
## Residence_CityFARMINGTON 8.330e-01 4.430e-01 1.880
## Residence_CityFRANKLIN -5.731e-02 5.814e-01 -0.099
## Residence_CityGALES FERRY 2.509e-01 5.846e-01 0.429
## Residence_CityGlastonbury 2.217e+00 9.340e-01 2.373
## Residence_CityGLASTONBURY 2.733e-01 5.968e-01 0.458
## Residence_CityGRANBY 8.235e-01 5.845e-01 1.409
## Residence_CityGreenwich 2.002e+00 5.798e-01 3.453
## Residence_CityGREENWICH -5.001e-01 6.857e-01 -0.729
## Residence_CityGriswold 2.010e+00 7.343e-01 2.737
## Residence_CityGRISWOLD 3.950e-01 5.955e-01 0.663
## Residence_CityGroton 2.033e+00 5.024e-01 4.046
## Residence_CityGROTON 4.490e-03 6.938e-01 0.006
## Residence_CityGROTON LONG POINT 3.903e-01 6.107e-01 0.639
## Residence_CityGuilford 1.693e+00 7.485e-01 2.262
## Residence_CityGUILFORD 4.193e-01 6.211e-01 0.675
## Residence_CityHADDAM 9.862e-01 7.282e-01 1.354
## Residence_CityHamden 1.672e+00 7.104e-01 2.353
## Residence_CityHAMDEN 8.604e-01 5.769e-01 1.491
## Residence_CityHANOVER 3.510e-02 5.805e-01 0.060
## Residence_CityHartford 1.951e+00 5.745e-01 3.397
## Residence_CityHARTFORD -2.980e-02 5.101e-01 -0.058
## Residence_CityHARWINTON 1.243e-01 6.211e-01 0.200
## Residence_CityHAWAIIAN GARDENS -9.293e-02 5.887e-01 -0.158
## Residence_CityHEBRON 6.195e-01 4.741e-01 1.307
## Residence_CityHolland 1.922e+00 7.070e-01 2.719
## Residence_CityHouston 1.914e+00 5.895e-01 3.247
## Residence_CityINVER GROVE HEIGHTS -4.351e-01 6.700e-01 -0.649
## Residence_CityIVORYTON 3.885e-02 5.026e-01 0.077
## Residence_CityJewett City 2.016e+00 4.740e-01 4.253
## Residence_CityJEWETT CITY 8.756e-04 6.937e-01 0.001
## Residence_CityKensington 2.148e+00 7.521e-01 2.857
## Residence_CityKillingly 1.983e+00 5.028e-01 3.944
## Residence_CityKILLINGLY 1.807e-03 5.798e-01 0.003
## Residence_CityKILLINGWORTH 7.997e-03 5.806e-01 0.014
## Residence_CityKINGWOOD 7.983e-01 7.180e-01 1.112
## Residence_CityLA PLACE 1.710e-01 7.211e-01 0.237
## Residence_CityLebanon 2.021e+00 5.805e-01 3.481
## Residence_CityLEBANON -3.241e-01 6.886e-01 -0.471
## Residence_CityLEDYARD 7.848e-01 5.869e-01 1.337
## Residence_CityLEOMINSTER 4.176e-01 6.984e-01 0.598
## Residence_CityLISBON -5.398e-01 6.877e-01 -0.785
## Residence_CityMadison 1.630e+00 6.920e-01 2.356
## Residence_CityMADISON 6.835e-01 7.461e-01 0.916
## Residence_CityManchester 1.756e+00 6.318e-01 2.779
## Residence_CityMANCHESTER 1.622e-02 5.286e-01 0.031
## Residence_CityMansfield 1.998e+00 5.798e-01 3.446
## Residence_CityMANSFIELD 1.412e+00 7.952e-01 1.776
## Residence_CityMAPLEWOOD -4.089e-01 6.771e-01 -0.604
## Residence_CityMarlborough 1.730e+00 8.490e-01 2.038
## Residence_CityMARLBOROUGH 6.781e-01 4.734e-01 1.432
## Residence_CityMELROSE 4.552e-01 7.293e-01 0.624
## Residence_CityMeriden 1.794e+00 5.771e-01 3.108
## Residence_CityMERIDEN 4.597e-01 5.645e-01 0.814
## Residence_CityMiddlebury 2.022e+00 5.799e-01 3.486
## Residence_CityMIDDLEBURY 3.381e-02 5.025e-01 0.067
## Residence_CityMIDDLEFIELD 1.004e+00 5.798e-01 1.731
## Residence_CityMiddletown 1.640e+00 8.659e-01 1.893
## Residence_CityMIDDLETOWN 1.375e-01 5.757e-01 0.239
## Residence_CityMilford 1.665e+00 7.068e-01 2.356
## Residence_CityMILFORD 8.422e-02 6.191e-01 0.136
## Residence_CityMILLDALE 6.771e-01 7.166e-01 0.945
## Residence_CityMonroe 1.410e+00 7.854e-01 1.795
## Residence_CityMONROE 7.299e-01 6.418e-01 1.137
## Residence_CityMONTVILLE 1.054e+00 5.806e-01 1.816
## Residence_CityMoodus 2.002e+00 5.028e-01 3.981
## Residence_CityMoosup 2.031e+00 5.024e-01 4.042
## Residence_CityMOOSUP -3.678e-02 5.026e-01 -0.073
## Residence_CityMT VERNON -1.731e-01 7.155e-01 -0.242
## Residence_CityMystic 1.986e+00 5.798e-01 3.424
## Residence_CityMYSTIC 9.437e-01 7.538e-01 1.252
## Residence_CityN HAVEN 9.128e-01 6.144e-01 1.486
## Residence_CityNAPLES 7.739e-03 5.880e-01 0.013
## Residence_CityNaugatuck 1.871e+00 7.210e-01 2.594
## Residence_CityNAUGATUCK 1.931e-01 5.604e-01 0.345
## Residence_CityNew Britain 1.876e+00 6.428e-01 2.919
## Residence_CityNEW BRITAIN -2.103e-01 5.297e-01 -0.397
## Residence_CityNew Canaan 2.013e+00 5.798e-01 3.471
## Residence_CityNEW CANAAN 3.149e-02 5.805e-01 0.054
## Residence_CityNEW FAIRFIELD 2.228e-01 6.813e-01 0.327
## Residence_CityNEW HARTFORD -3.614e-03 5.798e-01 -0.006
## Residence_CityNew Haven 1.726e+00 6.250e-01 2.762
## Residence_CityNEW HAVEN 4.673e-01 5.432e-01 0.860
## Residence_CityNew London 2.159e+00 7.103e-01 3.040
## Residence_CityNEW LONDON 1.011e-01 5.558e-01 0.182
## Residence_CityNew Milford 1.900e+00 9.068e-01 2.095
## Residence_CityNEW MILFORD -2.969e-01 6.933e-01 -0.428
## Residence_CityNEW YORK 2.942e-02 5.888e-01 0.050
## Residence_CityNewark 1.243e+00 8.528e-01 1.457
## Residence_CityNewington 1.769e+00 5.970e-01 2.963
## Residence_CityNEWINGTON -6.758e-02 5.873e-01 -0.115
## Residence_CityNewtown 1.912e+00 5.816e-01 3.288
## Residence_CityNEWTOWN 8.688e-01 7.088e-01 1.226
## Residence_CityNIANTIC 1.051e+00 5.805e-01 1.810
## Residence_CityNissequogue 1.209e+00 8.006e-01 1.510
## Residence_CityNOANK 8.153e-01 7.063e-01 1.154
## Residence_CityNORTH BRANFORD 7.413e-01 7.047e-01 1.052
## Residence_CityNorth Canaan 1.986e+00 5.798e-01 3.424
## Residence_CityNORTH CANAAN 2.753e-01 7.487e-01 0.368
## Residence_CityNORTH GROSVENORDALE 2.349e-02 5.799e-01 0.041
## Residence_CityNorth Haven 1.644e+00 6.896e-01 2.383
## Residence_CityNORTH HAVEN 6.590e-01 6.182e-01 1.066
## Residence_CityNORTHFORD 1.002e+00 5.798e-01 1.728
## Residence_CityNorwalk 1.752e+00 8.665e-01 2.022
## Residence_CityNORWALK 4.216e-01 7.213e-01 0.584
## Residence_CityNorwich 1.916e+00 6.379e-01 3.004
## Residence_CityNORWICH 4.545e-02 5.522e-01 0.082
## Residence_CityNUTLEY 2.607e-02 6.550e-01 0.040
## Residence_CityOAKDALE 5.298e-01 6.895e-01 0.768
## Residence_CityOAKVILLE 3.099e-01 5.601e-01 0.553
## Residence_CityOLD LYME 1.564e+00 8.555e-01 1.828
## Residence_CityOld Saybrook 2.022e+00 5.799e-01 3.486
## Residence_CityOLD SAYBROOK 2.477e-01 8.727e-01 0.284
## Residence_CityORANGE NA NA NA
## Residence_CityORLANDO -1.882e-02 6.894e-01 -0.027
## Residence_CityOxford 2.008e+00 5.806e-01 3.458
## Residence_CityOXFORD 4.469e-01 5.861e-01 0.762
## Residence_CityPARMA 1.866e+00 7.236e-01 2.580
## Residence_CityPascoag 1.954e+00 5.872e-01 3.327
## Residence_CityPAWCATUCK 7.224e-01 6.880e-01 1.050
## Residence_CityPittsfield 1.969e+00 5.829e-01 3.378
## Residence_CityPITTSFIELD 3.618e-01 6.706e-01 0.540
## Residence_CityPlainfield 2.016e+00 5.799e-01 3.477
## Residence_CityPlainville 1.935e+00 6.525e-01 2.965
## Residence_CityPLAINVILLE -1.765e-01 5.941e-01 -0.297
## Residence_CityPlantsville 2.007e+00 5.798e-01 3.462
## Residence_CityPLANTSVILLE 3.859e-01 6.547e-01 0.589
## Residence_CityPortland 1.556e+00 9.507e-01 1.637
## Residence_CityPORTLAND -2.637e-01 6.315e-01 -0.418
## Residence_CityPRESTON -1.343e-01 6.758e-01 -0.199
## Residence_CityPROSPECT 1.256e-01 6.020e-01 0.209
## Residence_CityPUTNAM 4.607e-02 4.469e-01 0.103
## Residence_CityQUAKER HILL 7.296e-01 6.881e-01 1.060
## Residence_CityQUINEBAUG 6.040e-02 5.808e-01 0.104
## Residence_CityRedding 2.105e+00 1.048e+00 2.008
## Residence_CityREDDING 3.027e-01 7.705e-01 0.393
## Residence_CityRIDGEFIELD -2.091e-01 5.845e-01 -0.358
## Residence_CityRocky Hill 2.041e+00 5.806e-01 3.515
## Residence_CityROCKY HILL 1.295e-01 5.038e-01 0.257
## Residence_CityRYE 2.436e-02 8.157e-01 0.030
## Residence_CitySalisbury 2.008e+00 5.806e-01 3.458
## Residence_CitySALISBURY -9.953e-02 5.810e-01 -0.171
## Residence_CitySANDY HOOK 7.945e-01 6.519e-01 1.219
## Residence_CitySAUGUS 5.112e-04 5.878e-01 0.001
## Residence_CitySeymour 1.669e+00 6.727e-01 2.482
## Residence_CitySEYMOUR 4.225e-01 6.125e-01 0.690
## Residence_CitySHARON -1.158e-01 4.745e-01 -0.244
## Residence_CityShelton 2.030e+00 4.737e-01 4.286
## Residence_CitySHELTON 6.110e-01 5.561e-01 1.099
## Residence_CitySimsbury 1.891e+00 5.810e-01 3.256
## Residence_CitySIMSBURY 3.348e-01 4.735e-01 0.707
## Residence_CitySomers 2.025e+00 5.024e-01 4.031
## Residence_CitySOMERS 5.031e-02 5.944e-01 0.085
## Residence_CitySouth Salem 1.774e+00 9.487e-01 1.870
## Residence_CitySouth Windsor 2.007e+00 5.798e-01 3.462
## Residence_CitySOUTH WINDSOR -2.926e-01 5.105e-01 -0.573
## Residence_CitySouthington 1.863e+00 7.938e-01 2.347
## Residence_CitySOUTHINGTON 3.316e-01 5.786e-01 0.573
## Residence_CitySOUTHPORT 1.006e+00 8.253e-01 1.219
## Residence_CitySPRAGUE 2.065e-02 5.805e-01 0.036
## Residence_CitySTAFFORD SPGS 6.763e-02 5.810e-01 0.116
## Residence_CitySTAFFORD SPRINGS 4.358e-01 5.862e-01 0.743
## Residence_CityStamford 1.555e+00 7.997e-01 1.944
## Residence_CitySTAMFORD 4.617e-01 4.332e-01 1.066
## Residence_CitySTONINGTON 1.013e+00 5.878e-01 1.724
## Residence_CityStorrs 1.984e+00 5.035e-01 3.940
## Residence_CityStratford 1.553e+00 6.698e-01 2.318
## Residence_CitySTRATFORD 4.450e-02 5.503e-01 0.081
## Residence_CitySuffield 1.811e+00 5.844e-01 3.099
## Residence_CitySUFFIELD 3.697e-01 4.738e-01 0.780
## Residence_CitySullivan 1.895e+00 8.663e-01 2.187
## Residence_CityTAFTVILLE 3.510e-02 5.805e-01 0.060
## Residence_CityTARIFFVILLE 5.379e-01 5.026e-01 1.070
## Residence_CityTerryville 2.014e+00 4.735e-01 4.254
## Residence_CityTERRYVILLE 5.099e-01 5.529e-01 0.922
## Residence_CityThomaston 1.939e+00 7.948e-01 2.440
## Residence_CityTHOMASTON -3.091e-02 5.785e-01 -0.053
## Residence_CityTHOMPSON 2.711e-02 5.800e-01 0.047
## Residence_CityTolland 1.995e+00 4.734e-01 4.215
## Residence_CityTOLLAND 1.324e-01 5.945e-01 0.223
## Residence_CityTorrington 2.004e+00 4.735e-01 4.233
## Residence_CityTORRINGTON -1.485e-01 5.430e-01 -0.273
## Residence_CityTrumbull 1.568e+00 7.805e-01 2.009
## Residence_CityTRUMBULL -2.030e-01 5.977e-01 -0.340
## Residence_CityUNCASVILLE -1.852e-02 5.974e-01 -0.031
## Residence_CityVernon 1.981e+00 7.937e-01 2.495
## Residence_CityVERNON -8.224e-02 5.750e-01 -0.143
## Residence_CityVernon-Rockville 1.674e+00 7.047e-01 2.376
## Residence_CityVERNON ROCKVL 1.961e-02 6.552e-01 0.030
## Residence_CityVINELAND 8.880e-01 6.814e-01 1.303
## Residence_CityVOLUNTOWN 2.349e-02 5.799e-01 0.041
## Residence_CityWallingford 1.692e+00 7.485e-01 2.260
## Residence_CityWALLINGFORD 3.790e-01 5.857e-01 0.647
## Residence_CityWarren 1.836e+00 1.024e+00 1.793
## Residence_CityWASHINGTON 3.795e-02 5.802e-01 0.065
## Residence_CityWaterbury 1.967e+00 6.784e-01 2.900
## Residence_CityWATERBURY 7.315e-02 5.297e-01 0.138
## Residence_CityWaterford 2.028e+00 4.738e-01 4.281
## Residence_CityWATERFORD -2.279e-01 6.505e-01 -0.350
## Residence_CityWATERTOWN 1.927e-01 8.610e-01 0.224
## Residence_CityWEST HAVEN -2.334e-01 6.803e-01 -0.343
## Residence_CityWest Hartford 1.900e+00 7.013e-01 2.709
## Residence_CityWEST HARTFORD 1.564e-01 5.671e-01 0.276
## Residence_CityWest Haven 1.650e+00 6.465e-01 2.553
## Residence_CityWEST HAVEN 2.456e-01 5.694e-01 0.431
## Residence_CityWest Springfield 1.929e+00 7.086e-01 2.722
## Residence_CityWest Suffield 2.011e+00 5.798e-01 3.468
## Residence_CityWESTBROOK 1.656e+00 8.018e-01 2.065
## Residence_CityWESTON 5.201e-01 6.912e-01 0.752
## Residence_CityWestport 1.676e+00 7.484e-01 2.240
## Residence_CityWESTPORT -3.958e-01 6.865e-01 -0.577
## Residence_CityWethersfield 1.863e+00 7.075e-01 2.633
## Residence_CityWETHERSFIELD 4.571e-01 4.390e-01 1.041
## Residence_CityWillimantic 1.932e+00 7.009e-01 2.756
## Residence_CityWILLIMANTIC 4.180e-01 5.857e-01 0.714
## Residence_CityWILLINGTON 5.906e-02 7.149e-01 0.083
## Residence_CityWILLISTON PARK 9.737e-01 8.170e-01 1.192
## Residence_CityWILTON 3.183e-01 6.195e-01 0.514
## Residence_CityWinchester 2.033e+00 5.805e-01 3.503
## Residence_CityWINCHESTER 5.257e-01 5.024e-01 1.046
## Residence_CityWINDBER 1.674e+00 9.522e-01 1.758
## Residence_CityWindham 1.849e+00 8.676e-01 2.131
## Residence_CityWINDHAM 5.127e-01 4.588e-01 1.117
## Residence_CityWindsor 1.831e+00 8.728e-01 2.097
## Residence_CityWINDSOR -3.941e-01 6.028e-01 -0.654
## Residence_CityWindsor Locks 1.997e+00 4.587e-01 4.352
## Residence_CityWINDSOR LOCKS 2.160e-01 4.653e-01 0.464
## Residence_CityWINGDALE -1.583e-01 8.163e-01 -0.194
## Residence_CityWinsted 2.009e+00 5.023e-01 4.000
## Residence_CityWINSTED -8.236e-02 5.038e-01 -0.163
## Residence_CityWolcott 1.756e+00 8.287e-01 2.119
## Residence_CityWOLCOTT 5.334e-02 5.915e-01 0.090
## Residence_CityWoodbridge 1.909e+00 1.027e+00 1.858
## Residence_CityWOODBRIDGE 4.864e-01 5.022e-01 0.969
## Residence_CityWOODBURY 7.585e-01 6.888e-01 1.101
## Residence_CityWoodstock 1.998e+00 5.798e-01 3.446
## Residence_CityYORKTOWN HEIGHTS 3.036e-01 5.857e-01 0.518
## Death_CityANDOVER NA NA NA
## Death_CityAnsonia 4.451e-01 8.899e-01 0.500
## Death_CityANSONIA 5.141e-02 4.205e-01 0.122
## Death_CityAshford NA NA NA
## Death_CityAvon NA NA NA
## Death_CityAVON 6.418e-01 5.743e-01 1.118
## Death_CityBAKERSVILLE -1.396e+00 7.965e-01 -1.753
## Death_CityBEACON FALLS NA NA NA
## Death_CityBerlin 2.631e-01 5.584e-01 0.471
## Death_CityBERLIN -6.343e-01 4.855e-01 -1.307
## Death_CityBethany 9.517e-02 7.896e-01 0.121
## Death_CityBETHANY NA NA NA
## Death_CityBethel NA NA NA
## Death_CityBloomfield NA NA NA
## Death_CityBLOOMFIELD NA NA NA
## Death_CityBranford 2.545e-01 5.790e-01 0.439
## Death_CityBRANFORD 1.343e-02 4.616e-01 0.029
## Death_CityBridgeport 3.311e-01 5.220e-01 0.634
## Death_CityBRIDGEPORT 2.593e-01 3.666e-01 0.707
## Death_CityBridgewater NA NA NA
## Death_CityBristol 3.033e-01 4.637e-01 0.654
## Death_CityBRISTOL 5.455e-01 3.527e-01 1.547
## Death_CityBROOKFIELD 7.039e-02 5.502e-01 0.128
## Death_CityBrooklyn NA NA NA
## Death_CityBROOKLYN NA NA NA
## Death_CityBurlington NA NA NA
## Death_CityBURLINGTON NA NA NA
## Death_CityCanterbury NA NA NA
## Death_CityCANTERBURY NA NA NA
## Death_CityCanton NA NA NA
## Death_CityCHAPLIN -4.771e-01 6.507e-01 -0.733
## Death_CityCHESHIRE -3.118e-01 6.222e-01 -0.501
## Death_CityClinton NA NA NA
## Death_CityCLINTON -8.344e-01 5.994e-01 -1.392
## Death_CityCOLCHESTER NA NA NA
## Death_CityColumbia 1.011e-01 8.722e-01 0.116
## Death_CityCOLUMBIA NA NA NA
## Death_CityCos Cob NA NA NA
## Death_CityCoventry NA NA NA
## Death_CityCromwell 1.371e-01 7.007e-01 0.196
## Death_CityDanbury NA NA NA
## Death_CityDANBURY 6.185e-02 5.008e-01 0.124
## Death_CityDANIELSON 1.040e-01 5.035e-01 0.207
## Death_CityDARIEN -4.393e-01 7.725e-01 -0.569
## Death_CityDayville NA NA NA
## Death_CityDAYVILLE NA NA NA
## Death_CityDEEP RIVER NA NA NA
## Death_CityDerby 2.320e-01 6.749e-01 0.344
## Death_CityDERBY -3.206e-02 3.911e-01 -0.082
## Death_CityDURHAM 4.648e-01 5.316e-01 0.874
## Death_CityEAST HADDAM 5.019e-01 5.867e-01 0.856
## Death_CityEast Hampton NA NA NA
## Death_CityEAST HAMPTON 7.850e-01 4.754e-01 1.651
## Death_CityEast Hartford -1.761e-02 6.187e-01 -0.028
## Death_CityEAST HARTFORD 4.815e-01 3.885e-01 1.239
## Death_CityEast Haven NA NA NA
## Death_CityEAST HAVEN -6.876e-02 4.300e-01 -0.160
## Death_CityEAST LYME 7.406e-01 5.052e-01 1.466
## Death_CityEast Windsor -2.140e-01 5.077e-01 -0.421
## Death_CityEAST WINDSOR -4.637e-01 6.512e-01 -0.712
## Death_CityEaston 5.790e-01 7.195e-01 0.805
## Death_CityEnfield NA NA NA
## Death_CityENFIELD 5.236e-01 4.282e-01 1.223
## Death_CityESSEX NA NA NA
## Death_CityFairfield 4.105e-01 6.217e-01 0.660
## Death_CityFAIRFIELD -1.702e-01 4.436e-01 -0.384
## Death_CityFarmington NA NA NA
## Death_CityFARMINGTON NA NA NA
## Death_CityFRANKLIN NA NA NA
## Death_CityGALES FERRY -1.913e-01 5.857e-01 -0.327
## Death_CityGlastonbury -2.111e-01 8.879e-01 -0.238
## Death_CityGLASTONBURY -4.025e-02 4.371e-01 -0.092
## Death_CityGRANBY 2.289e-01 5.847e-01 0.392
## Death_CityGreenwich NA NA NA
## Death_CityGREENWICH 8.490e-01 5.740e-01 1.479
## Death_CityGriswold NA NA NA
## Death_CityGRISWOLD 5.888e-01 5.959e-01 0.988
## Death_CityGroton NA NA NA
## Death_CityGROTON 3.259e-01 5.732e-01 0.568
## Death_CityGROTON LONG POINT NA NA NA
## Death_CityGuilford 3.175e-01 7.483e-01 0.424
## Death_CityHADDAM -9.844e-01 7.281e-01 -1.352
## Death_CityHamden 2.846e-01 5.976e-01 0.476
## Death_CityHAMDEN -5.830e-01 4.224e-01 -1.380
## Death_CityHANOVER NA NA NA
## Death_CityHartford -2.207e-03 3.937e-01 -0.006
## Death_CityHARTFORD 3.963e-01 2.980e-01 1.330
## Death_CityHARWINTON -8.511e-02 5.487e-01 -0.155
## Death_CityHEBRON NA NA NA
## Death_CityIVORYTON NA NA NA
## Death_CityJewett City NA NA NA
## Death_CityJEWETT CITY 6.950e-01 6.068e-01 1.145
## Death_CityKillingly NA NA NA
## Death_CityKILLINGLY NA NA NA
## Death_CityKILLINGWORTH NA NA NA
## Death_CityLebanon NA NA NA
## Death_CityLEBANON 3.133e-01 6.889e-01 0.455
## Death_CityLedyard NA NA NA
## Death_CityLEDYARD NA NA NA
## Death_CityMadison 4.131e-01 6.081e-01 0.679
## Death_CityMADISON -6.582e-01 7.460e-01 -0.882
## Death_CityManchester 2.417e-01 4.887e-01 0.495
## Death_CityMANCHESTER 4.087e-01 3.330e-01 1.227
## Death_CityMansfield NA NA NA
## Death_CityMANSFIELD -7.136e-01 6.125e-01 -1.165
## Death_CityMarlborough 3.256e-01 6.191e-01 0.526
## Death_CityMARLBOROUGH NA NA NA
## Death_CityMASHANTUCKET NA NA NA
## Death_CityMeriden 1.658e-01 3.951e-01 0.420
## Death_CityMERIDEN 2.825e-02 3.900e-01 0.072
## Death_CityMiddlebury NA NA NA
## Death_CityMIDDLEBURY NA NA NA
## Death_CityMIDDLEFIELD NA NA NA
## Death_CityMiddletown 3.295e-01 7.537e-01 0.437
## Death_CityMIDDLETOWN 4.810e-02 3.955e-01 0.122
## Death_CityMilford 2.872e-01 5.803e-01 0.495
## Death_CityMILFORD 2.928e-01 4.657e-01 0.629
## Death_CityMONROE -2.624e-02 5.472e-01 -0.048
## Death_CityMONTVILLE NA NA NA
## Death_CityMoodus NA NA NA
## Death_CityMoosup NA NA NA
## Death_CityMOOSUP NA NA NA
## Death_CityMystic NA NA NA
## Death_CityN HAVEN 1.350e-01 6.136e-01 0.220
## Death_CityNaugatuck 1.047e-01 6.177e-01 0.169
## Death_CityNAUGATUCK 1.460e-01 4.110e-01 0.355
## Death_CityNew Britain 1.243e-01 4.791e-01 0.259
## Death_CityNEW BRITAIN 5.716e-01 3.339e-01 1.712
## Death_CityNew Canaan NA NA NA
## Death_CityNEW CANAAN NA NA NA
## Death_CityNEW HARTFORD NA NA NA
## Death_CityNew Haven 2.432e-01 4.721e-01 0.515
## Death_CityNEW HAVEN -1.313e-02 3.517e-01 -0.037
## Death_CityNew London -1.862e-01 5.414e-01 -0.344
## Death_CityNEW LONDON 1.853e-01 3.709e-01 0.500
## Death_CityNew Milford 9.060e-02 8.423e-01 0.108
## Death_CityNEW MILFORD 5.192e-01 5.690e-01 0.913
## Death_CityNewington 2.354e-01 4.780e-01 0.493
## Death_CityNewtown 5.133e-01 6.687e-01 0.768
## Death_CityNEWTOWN -5.967e-01 6.129e-01 -0.973
## Death_CityNIANTIC NA NA NA
## Death_CityNORTH BRANFORD -1.877e-01 6.422e-01 -0.292
## Death_CityNorth Canaan NA NA NA
## Death_CityNORTH CANAAN 2.648e-01 5.902e-01 0.449
## Death_CityNORTH GROSVENORDALE NA NA NA
## Death_CityNorth Haven 3.716e-01 6.032e-01 0.616
## Death_CityNORTH HAVEN -6.080e-01 5.454e-01 -1.115
## Death_CityNORTHFORD NA NA NA
## Death_CityNorwalk 1.901e-01 7.481e-01 0.254
## Death_CityNORWALK -9.026e-02 5.828e-01 -0.155
## Death_CityNorwich 9.341e-02 5.015e-01 0.186
## Death_CityNORWICH 4.331e-01 3.705e-01 1.169
## Death_CityOAKVILLE -2.666e-01 5.601e-01 -0.476
## Death_CityOld Saybrook NA NA NA
## Death_CityOLD SAYBROOK 1.498e-01 7.481e-01 0.200
## Death_CityORANGE NA NA NA
## Death_CityOxford NA NA NA
## Death_CityOXFORD 6.667e-02 5.093e-01 0.131
## Death_CityPAWCATUCK -6.529e-01 6.880e-01 -0.949
## Death_CityPlainfield NA NA NA
## Death_CityPlainville 9.004e-02 5.609e-01 0.161
## Death_CityPLAINVILLE 9.500e-01 4.762e-01 1.995
## Death_CityPlantsville NA NA NA
## Death_CityPLANTSVILLE -2.931e-02 5.744e-01 -0.051
## Death_CityPortland 4.815e-01 9.511e-01 0.506
## Death_CityPORTLAND 9.565e-01 5.353e-01 1.787
## Death_CityPutnam NA NA NA
## Death_CityPUTNAM NA NA NA
## Death_CityQUINEBAUG NA NA NA
## Death_CityRedding -2.247e-02 8.698e-01 -0.026
## Death_CityRocky Hill NA NA NA
## Death_CityROCKY HILL NA NA NA
## Death_CitySalisbury NA NA NA
## Death_CitySALISBURY 9.050e-02 5.811e-01 0.156
## Death_CitySeymour 3.253e-01 6.727e-01 0.484
## Death_CitySEYMOUR 1.215e-01 4.990e-01 0.243
## Death_CitySHARON NA NA NA
## Death_CityShelton NA NA NA
## Death_CitySHELTON 1.619e-01 4.087e-01 0.396
## Death_CitySHERMAN 4.513e-02 6.800e-01 0.066
## Death_CitySIMSBURY NA NA NA
## Death_CitySomers NA NA NA
## Death_CitySOMERS 9.740e-01 4.908e-01 1.985
## Death_CitySouth Windsor NA NA NA
## Death_CitySOUTHBURY NA NA NA
## Death_CitySouthington 1.413e-01 7.002e-01 0.202
## Death_CitySOUTHINGTON 2.903e-02 4.211e-01 0.069
## Death_CitySPRAGUE NA NA NA
## Death_CitySTAFFORD SPGS NA NA NA
## Death_CitySTAFFORD SPRINGS NA NA NA
## Death_CityStamford 4.552e-01 7.040e-01 0.647
## Death_CitySTAMFORD NA NA NA
## Death_CitySTERLING -8.019e-01 8.196e-01 -0.979
## Death_CitySTONINGTON NA NA NA
## Death_CityStorrs NA NA NA
## Death_CityStratford 4.381e-01 6.698e-01 0.654
## Death_CitySTRATFORD 4.087e-01 3.866e-01 1.057
## Death_CitySuffield 2.062e-01 5.853e-01 0.352
## Death_CitySUFFIELD NA NA NA
## Death_CityTAFTVILLE NA NA NA
## Death_CityTARIFFVILLE NA NA NA
## Death_CityTerryville NA NA NA
## Death_CityTERRYVILLE -7.145e-02 4.037e-01 -0.177
## Death_CityTHOMASTON 5.079e-02 5.784e-01 0.088
## Death_CityTHOMPSON NA NA NA
## Death_CityTolland NA NA NA
## Death_CityTOLLAND -1.014e-01 4.908e-01 -0.207
## Death_CityTorrington NA NA NA
## Death_CityTORRINGTON 2.806e-01 3.629e-01 0.773
## Death_CityTrumbull 4.280e-01 7.805e-01 0.548
## Death_CityTRUMBULL 6.760e-01 4.605e-01 1.468
## Death_CityUNCASVILLE 5.627e-01 5.228e-01 1.076
## Death_CityVernon 4.239e-02 6.367e-01 0.067
## Death_CityVERNON 6.633e-01 3.953e-01 1.678
## Death_CityVOLUNTOWN NA NA NA
## Death_CityWallingford 3.066e-01 6.901e-01 0.444
## Death_CityWALLINGFORD 1.278e-01 4.432e-01 0.288
## Death_CityWARREN NA NA NA
## Death_CityWASHINGTON NA NA NA
## Death_CityWaterbury 1.713e-02 5.417e-01 0.032
## Death_CityWATERBURY 2.803e-01 3.337e-01 0.840
## Death_CityWaterford NA NA NA
## Death_CityWATERFORD 7.432e-01 5.819e-01 1.277
## Death_CityWATERTOWN 2.267e-01 7.345e-01 0.309
## Death_CityWest Hartford 7.037e-02 6.017e-01 0.117
## Death_CityWEST HARTFORD 3.685e-01 4.418e-01 0.834
## Death_CityWest Haven 3.403e-01 5.231e-01 0.650
## Death_CityWEST HAVEN 6.005e-02 4.010e-01 0.150
## Death_CityWest Suffield NA NA NA
## Death_CityWESTBROOK -1.131e+00 6.247e-01 -1.810
## Death_CityWESTPORT 1.421e+00 6.862e-01 2.071
## Death_CityWethersfield 1.681e-01 6.451e-01 0.261
## Death_CityWETHERSFIELD NA NA NA
## Death_CityWillimantic 6.503e-02 6.444e-01 0.101
## Death_CityWILLIMANTIC -1.090e-01 4.175e-01 -0.261
## Death_CityWILLINGTON 4.431e-01 6.533e-01 0.678
## Death_CityWinchester NA NA NA
## Death_CityWINCHESTER NA NA NA
## Death_CityWindham 1.819e-01 8.677e-01 0.210
## Death_CityWINDHAM NA NA NA
## Death_CityWindsor NA NA NA
## Death_CityWINDSOR 7.113e-01 4.978e-01 1.429
## Death_CityWindsor Locks NA NA NA
## Death_CityWINDSOR LOCKS NA NA NA
## Death_CityWinsted NA NA NA
## Death_CityWINSTED NA NA NA
## Death_CityWOODBRIDGE NA NA NA
## Death_CityWoodstock NA NA NA
## New_Residence_CountyBristol 1.091e-01 9.920e-01 0.110
## New_Residence_CountyBronx NA NA NA
## New_Residence_CountyClay NA NA NA
## New_Residence_CountyClinton NA NA NA
## New_Residence_CountyCollier NA NA NA
## New_Residence_CountyCook NA NA NA
## New_Residence_CountyCumberland NA NA NA
## New_Residence_CountyCuyahoga NA NA NA
## New_Residence_CountyDakota NA NA NA
## New_Residence_CountyDutchess NA NA NA
## New_Residence_CountyEssex NA NA NA
## New_Residence_CountyFairfield NA NA NA
## New_Residence_CountyHampden NA NA NA
## New_Residence_CountyHarris NA NA NA
## New_Residence_CountyHartford NA NA NA
## New_Residence_CountyLake NA NA NA
## New_Residence_CountyLitchfield NA NA NA
## New_Residence_CountyLos Angeles NA NA NA
## New_Residence_CountyMiddlesex NA NA NA
## New_Residence_CountyMoultrie NA NA NA
## New_Residence_CountyMuscogee NA NA NA
## New_Residence_CountyNassau NA NA NA
## New_Residence_CountyNew Haven NA NA NA
## New_Residence_CountyNew London NA NA NA
## New_Residence_CountyNew York NA NA NA
## New_Residence_CountyOrange NA NA NA
## New_Residence_CountyProvidence NA NA NA
## New_Residence_CountyPutnam NA NA NA
## New_Residence_CountyQueens NA NA NA
## New_Residence_CountySomerset NA NA NA
## New_Residence_CountySt John The Baptist NA NA NA
## New_Residence_CountySuffolk NA NA NA
## New_Residence_CountyTolland NA NA NA
## New_Residence_CountyWestchester NA NA NA
## New_Residence_CountyWindham NA NA NA
## New_Residence_CountyWorcester NA NA NA
## New_Death_CountyHartford NA NA NA
## New_Death_CountyLitchfield NA NA NA
## New_Death_CountyMiddlesex NA NA NA
## New_Death_CountyNew Haven NA NA NA
## New_Death_CountyNew London NA NA NA
## New_Death_CountyTolland NA NA NA
## New_Death_CountyWindham NA NA NA
## LocationHospital 6.357e-01 3.457e-01 1.839
## LocationOther 5.419e-01 3.509e-01 1.544
## LocationResidence 5.254e-01 3.449e-01 1.523
## MannerofDeathAccident 3.993e-01 1.917e-01 2.083
## MannerofDeathACCIDENT NA NA NA
## MannerofDeathPending 6.484e-02 2.971e-01 0.218
## InjuryPlaceApartment House -1.617e-01 3.017e-01 -0.536
## InjuryPlaceAutomobile -4.286e-01 2.424e-01 -1.769
## InjuryPlaceBuilding -4.239e-01 6.106e-01 -0.694
## InjuryPlacecar in hartford 1.594e-01 4.544e-01 0.351
## InjuryPlaceConvenience Store -8.339e-01 4.544e-01 -1.835
## InjuryPlaceDetoxification Center -8.629e-01 5.265e-01 -1.639
## InjuryPlaceDriveway 4.517e-01 3.407e-01 1.326
## InjuryPlaceFriend's Residence 3.452e-01 5.885e-01 0.587
## InjuryPlaceGarage -3.204e-01 4.573e-01 -0.701
## InjuryPlaceGas Station -3.969e-01 4.751e-01 -0.835
## InjuryPlaceHalfway House -3.701e-01 2.199e-01 -1.683
## InjuryPlacehomeless shelter 6.852e-01 5.186e-01 1.321
## InjuryPlaceHospital -8.464e-01 2.014e-01 -4.202
## InjuryPlaceHospital or Emergency Room -3.149e-01 3.226e-01 -0.976
## InjuryPlaceHotel or Motel -3.343e-01 2.033e-01 -1.644
## InjuryPlaceHouse -3.936e-01 3.747e-01 -1.050
## InjuryPlaceIn Vehicle -2.505e-01 2.056e-01 -1.218
## InjuryPlaceMultiple Locations 2.303e-01 4.697e-01 0.490
## InjuryPlaceNursing Home -2.151e-01 2.933e-01 -0.733
## InjuryPlaceOffice Building -1.248e+00 4.835e-01 -2.580
## InjuryPlaceOther -6.371e-01 1.925e-01 -3.311
## InjuryPlaceOther (unknown) -5.011e-01 4.668e-01 -1.074
## InjuryPlaceOther indoor Area -1.628e-01 2.683e-01 -0.607
## InjuryPlaceOther, Farm or Ranch NA NA NA
## InjuryPlaceOther, Health Care Facility -1.137e-01 8.374e-01 -0.136
## InjuryPlaceOther, Other Outdoor Area -7.067e-02 2.492e-01 -0.284
## InjuryPlaceOther, Park or Recreational Area -3.678e-01 3.141e-01 -1.171
## InjuryPlaceOther, Public Buildings -3.896e-01 3.811e-01 -1.022
## InjuryPlaceParking Lot -4.699e-01 2.379e-01 -1.975
## InjuryPlacePorch 2.341e-01 4.538e-01 0.516
## InjuryPlaceRehab House 3.671e-01 4.599e-01 0.798
## InjuryPlaceresidence NA NA NA
## InjuryPlaceResidence -3.588e-01 1.873e-01 -1.916
## InjuryPlaceresidential building NA NA NA
## InjuryPlaceResidential Building -1.862e-01 1.932e-01 -0.963
## InjuryPlaceRestaurant -1.872e-01 3.301e-01 -0.567
## InjuryPlaceShed -3.272e-01 4.870e-01 -0.672
## InjuryPlaceSidewalk -6.948e-01 4.529e-01 -1.534
## InjuryPlaceStairs -2.914e-01 4.600e-01 -0.633
## InjuryPlaceStore or Shopping Area -8.620e-01 4.582e-01 -1.881
## InjuryPlaceStreet -6.041e-01 3.183e-01 -1.898
## InjuryPlaceUniversity or College NA NA NA
## InjuryPlaceUnknown -3.399e-01 1.987e-01 -1.711
## InjuryPlaceYard -3.647e-01 4.612e-01 -0.791
## Pr(>|t|)
## (Intercept) < 2e-16 ***
## Age 0.088476 .
## SexMale 0.369607
## RaceAsian, Other 0.883880
## RaceBlack 0.535792
## RaceChinese 0.689380
## RaceHispanic, Black 0.653601
## RaceHispanic, White 0.457658
## RaceOther 0.177592
## RaceUnknown 0.727631
## RaceWhite 0.351238
## Residence_CityANDOVER 0.922128
## Residence_CityAnsonia 0.077396 .
## Residence_CityANSONIA 0.454941
## Residence_CityARLINGTON HEIGHTS 0.060715 .
## Residence_CityAshford 0.000521 ***
## Residence_CityAstoria 0.002275 **
## Residence_CityAvon 0.000558 ***
## Residence_CityAVON 0.654452
## Residence_CityBEACON FALLS 0.072964 .
## Residence_CityBerlin 0.008302 **
## Residence_CityBERLIN 0.251046
## Residence_CityBethany 0.027801 *
## Residence_CityBETHANY 0.972663
## Residence_CityBETHEL 0.457860
## Residence_CityBloomfield 0.001949 **
## Residence_CityBLOOMFIELD 0.904901
## Residence_CityBOLTON 0.800717
## Residence_CityBranford 0.010113 *
## Residence_CityBRANFORD 0.468037
## Residence_CityBREWSTER 0.843771
## Residence_CityBridgeport 0.017805 *
## Residence_CityBRIDGEPORT 0.760927
## Residence_CityBridgewater 0.000626 ***
## Residence_CityBristol 0.004735 **
## Residence_CityBRISTOL 0.835724
## Residence_CityBronx 0.000853 ***
## Residence_CityBROOKFIELD 0.653106
## Residence_CityBrooklyn 0.000716 ***
## Residence_CityBROOKLYN 0.902446
## Residence_CityBurlington 6.67e-05 ***
## Residence_CityBURLINGTON 0.995028
## Residence_CityCANAAN 0.898968
## Residence_CityCanterbury 0.000516 ***
## Residence_CityCANTERBURY 0.975146
## Residence_CityCanton 0.000584 ***
## Residence_CityChaplin 0.006135 **
## Residence_CityCHAPLIN 0.431926
## Residence_CityCHELSEA 0.495041
## Residence_CityCheshire 0.008722 **
## Residence_CityCHESHIRE 0.594136
## Residence_CityCHICOPEE 0.730058
## Residence_CityCLERMONT 0.274116
## Residence_CityClinton 5.51e-05 ***
## Residence_CityCLINTON 0.077948 .
## Residence_CityColchester 0.064724 .
## Residence_CityCOLCHESTER 0.281149
## Residence_CityColumbia 0.070362 .
## Residence_CityCOLUMBIA 0.541632
## Residence_CityCOLUMBUS 0.857850
## Residence_CityCos Cob 0.000641 ***
## Residence_CityCosta Mesa 0.002039 **
## Residence_CityCoventry 0.007312 **
## Residence_CityCOVENTRY 0.804500
## Residence_CityCragford 0.085468 .
## Residence_CityCromwell 0.006749 **
## Residence_CityDanbury 4.71e-06 ***
## Residence_CityDANBURY 0.583665
## Residence_CityDanielson 0.001085 **
## Residence_CityDANIELSON 0.864025
## Residence_CityDARIEN 0.249715
## Residence_CityDayville 5.24e-05 ***
## Residence_CityDAYVILLE 0.065108 .
## Residence_CityDEEP RIVER 0.083196 .
## Residence_CityDerby 0.045002 *
## Residence_CityDERBY 0.423712
## Residence_CityDOVER PLAINS 0.122407
## Residence_CityDURHAM 0.542446
## Residence_CityEAST HADDAM 0.967895
## Residence_CityEast Hampton 1.95e-05 ***
## Residence_CityEAST HAMPTON 0.865202
## Residence_CityEast Hartford 0.001656 **
## Residence_CityEAST HARTFORD 0.662448
## Residence_CityEast Haven 5.86e-06 ***
## Residence_CityEAST HAVEN 0.549545
## Residence_CityEast Windsor 0.001928 **
## Residence_CityEAST WINDSOR 0.428983
## Residence_CityEllenburg Depot 0.004843 **
## Residence_CityELLINGTON 0.474613
## Residence_CityEnfield 4.04e-06 ***
## Residence_CityENFIELD 0.664626
## Residence_CityESSEX 0.985085
## Residence_CityFairfield 0.036009 *
## Residence_CityFAIRFIELD 0.798506
## Residence_CityFall River 0.130529
## Residence_CityFARMINGTON 0.060346 .
## Residence_CityFRANKLIN 0.921502
## Residence_CityGALES FERRY 0.667817
## Residence_CityGlastonbury 0.017823 *
## Residence_CityGLASTONBURY 0.647010
## Residence_CityGRANBY 0.159186
## Residence_CityGreenwich 0.000578 ***
## Residence_CityGREENWICH 0.466016
## Residence_CityGriswold 0.006300 **
## Residence_CityGRISWOLD 0.507303
## Residence_CityGroton 5.60e-05 ***
## Residence_CityGROTON 0.994838
## Residence_CityGROTON LONG POINT 0.522949
## Residence_CityGuilford 0.023884 *
## Residence_CityGUILFORD 0.499780
## Residence_CityHADDAM 0.175950
## Residence_CityHamden 0.018786 *
## Residence_CityHAMDEN 0.136182
## Residence_CityHANOVER 0.951797
## Residence_CityHartford 0.000708 ***
## Residence_CityHARTFORD 0.953435
## Residence_CityHARWINTON 0.841367
## Residence_CityHAWAIIAN GARDENS 0.874588
## Residence_CityHEBRON 0.191622
## Residence_CityHolland 0.006653 **
## Residence_CityHouston 0.001205 **
## Residence_CityINVER GROVE HEIGHTS 0.516163
## Residence_CityIVORYTON 0.938403
## Residence_CityJewett City 2.30e-05 ***
## Residence_CityJEWETT CITY 0.998993
## Residence_CityKensington 0.004368 **
## Residence_CityKillingly 8.55e-05 ***
## Residence_CityKILLINGLY 0.997514
## Residence_CityKILLINGWORTH 0.989014
## Residence_CityKINGWOOD 0.266450
## Residence_CityLA PLACE 0.812593
## Residence_CityLebanon 0.000521 ***
## Residence_CityLEBANON 0.637980
## Residence_CityLEDYARD 0.181494
## Residence_CityLEOMINSTER 0.550030
## Residence_CityLISBON 0.432672
## Residence_CityMadison 0.018679 *
## Residence_CityMADISON 0.359837
## Residence_CityManchester 0.005550 **
## Residence_CityMANCHESTER 0.975528
## Residence_CityMansfield 0.000591 ***
## Residence_CityMANSFIELD 0.076036 .
## Residence_CityMAPLEWOOD 0.545989
## Residence_CityMarlborough 0.041794 *
## Residence_CityMARLBOROUGH 0.152356
## Residence_CityMELROSE 0.532656
## Residence_CityMeriden 0.001937 **
## Residence_CityMERIDEN 0.415612
## Residence_CityMiddlebury 0.000511 ***
## Residence_CityMIDDLEBURY 0.946358
## Residence_CityMIDDLEFIELD 0.083748 .
## Residence_CityMiddletown 0.058596 .
## Residence_CityMIDDLETOWN 0.811229
## Residence_CityMilford 0.018667 *
## Residence_CityMILFORD 0.891831
## Residence_CityMILLDALE 0.344966
## Residence_CityMonroe 0.072880 .
## Residence_CityMONROE 0.255689
## Residence_CityMONTVILLE 0.069727 .
## Residence_CityMoodus 7.36e-05 ***
## Residence_CityMoosup 5.70e-05 ***
## Residence_CityMOOSUP 0.941674
## Residence_CityMT VERNON 0.808888
## Residence_CityMystic 0.000641 ***
## Residence_CityMYSTIC 0.210865
## Residence_CityN HAVEN 0.137652
## Residence_CityNAPLES 0.989501
## Residence_CityNaugatuck 0.009610 **
## Residence_CityNAUGATUCK 0.730402
## Residence_CityNew Britain 0.003588 **
## Residence_CityNEW BRITAIN 0.691501
## Residence_CityNew Canaan 0.000540 ***
## Residence_CityNEW CANAAN 0.956754
## Residence_CityNEW FAIRFIELD 0.743653
## Residence_CityNEW HARTFORD 0.995028
## Residence_CityNew Haven 0.005856 **
## Residence_CityNEW HAVEN 0.389786
## Residence_CityNew London 0.002427 **
## Residence_CityNEW LONDON 0.855680
## Residence_CityNew Milford 0.036419 *
## Residence_CityNEW MILFORD 0.668542
## Residence_CityNEW YORK 0.960154
## Residence_CityNewark 0.145337
## Residence_CityNewington 0.003115 **
## Residence_CityNEWINGTON 0.908408
## Residence_CityNewtown 0.001044 **
## Residence_CityNEWTOWN 0.220568
## Residence_CityNIANTIC 0.070635 .
## Residence_CityNissequogue 0.131379
## Residence_CityNOANK 0.248641
## Residence_CityNORTH BRANFORD 0.293018
## Residence_CityNorth Canaan 0.000641 ***
## Residence_CityNORTH CANAAN 0.713161
## Residence_CityNORTH GROSVENORDALE 0.967698
## Residence_CityNorth Haven 0.017337 *
## Residence_CityNORTH HAVEN 0.286622
## Residence_CityNORTHFORD 0.084305 .
## Residence_CityNorwalk 0.043413 *
## Residence_CityNORWALK 0.559025
## Residence_CityNorwich 0.002727 **
## Residence_CityNORWICH 0.934421
## Residence_CityNUTLEY 0.968266
## Residence_CityOAKDALE 0.442467
## Residence_CityOAKVILLE 0.580146
## Residence_CityOLD LYME 0.067855 .
## Residence_CityOld Saybrook 0.000511 ***
## Residence_CityOLD SAYBROOK 0.776613
## Residence_CityORANGE NA
## Residence_CityORLANDO 0.978230
## Residence_CityOxford 0.000566 ***
## Residence_CityOXFORD 0.445972
## Residence_CityPARMA 0.010032 *
## Residence_CityPascoag 0.000910 ***
## Residence_CityPAWCATUCK 0.293981
## Residence_CityPittsfield 0.000758 ***
## Residence_CityPITTSFIELD 0.589651
## Residence_CityPlainfield 0.000528 ***
## Residence_CityPlainville 0.003093 **
## Residence_CityPLAINVILLE 0.766486
## Residence_CityPlantsville 0.000558 ***
## Residence_CityPLANTSVILLE 0.555702
## Residence_CityPortland 0.101894
## Residence_CityPORTLAND 0.676338
## Residence_CityPRESTON 0.842493
## Residence_CityPROSPECT 0.834771
## Residence_CityPUTNAM 0.917913
## Residence_CityQUAKER HILL 0.289294
## Residence_CityQUINEBAUG 0.917199
## Residence_CityRedding 0.044941 *
## Residence_CityREDDING 0.694545
## Residence_CityRIDGEFIELD 0.720648
## Residence_CityRocky Hill 0.000459 ***
## Residence_CityROCKY HILL 0.797224
## Residence_CityRYE 0.976178
## Residence_CitySalisbury 0.000566 ***
## Residence_CitySALISBURY 0.864025
## Residence_CitySANDY HOOK 0.223225
## Residence_CitySAUGUS 0.999306
## Residence_CitySeymour 0.013239 *
## Residence_CitySEYMOUR 0.490479
## Residence_CitySHARON 0.807203
## Residence_CityShelton 1.99e-05 ***
## Residence_CitySHELTON 0.272143
## Residence_CitySimsbury 0.001169 **
## Residence_CitySIMSBURY 0.479694
## Residence_CitySomers 5.97e-05 ***
## Residence_CitySOMERS 0.932572
## Residence_CitySouth Salem 0.061714 .
## Residence_CitySouth Windsor 0.000558 ***
## Residence_CitySOUTH WINDSOR 0.566642
## Residence_CitySouthington 0.019089 *
## Residence_CitySOUTHINGTON 0.566664
## Residence_CitySOUTHPORT 0.223094
## Residence_CitySPRAGUE 0.971637
## Residence_CitySTAFFORD SPGS 0.907358
## Residence_CitySTAFFORD SPRINGS 0.457430
## Residence_CityStamford 0.052174 .
## Residence_CitySTAMFORD 0.286862
## Residence_CitySTONINGTON 0.085006 .
## Residence_CityStorrs 8.68e-05 ***
## Residence_CityStratford 0.020625 *
## Residence_CitySTRATFORD 0.935564
## Residence_CitySuffield 0.001998 **
## Residence_CitySUFFIELD 0.435324
## Residence_CitySullivan 0.028942 *
## Residence_CityTAFTVILLE 0.951797
## Residence_CityTARIFFVILLE 0.284719
## Residence_CityTerryville 2.30e-05 ***
## Residence_CityTERRYVILLE 0.356592
## Residence_CityThomaston 0.014849 *
## Residence_CityTHOMASTON 0.957396
## Residence_CityTHOMPSON 0.962735
## Residence_CityTolland 2.72e-05 ***
## Residence_CityTOLLAND 0.823856
## Residence_CityTorrington 2.51e-05 ***
## Residence_CityTORRINGTON 0.784603
## Residence_CityTrumbull 0.044763 *
## Residence_CityTRUMBULL 0.734156
## Residence_CityUNCASVILLE 0.975272
## Residence_CityVernon 0.012737 *
## Residence_CityVERNON 0.886295
## Residence_CityVernon-Rockville 0.017697 *
## Residence_CityVERNON ROCKVL 0.976134
## Residence_CityVINELAND 0.192831
## Residence_CityVOLUNTOWN 0.967698
## Residence_CityWallingford 0.024028 *
## Residence_CityWALLINGFORD 0.517680
## Residence_CityWarren 0.073298 .
## Residence_CityWASHINGTON 0.947866
## Residence_CityWaterbury 0.003814 **
## Residence_CityWATERBURY 0.890195
## Residence_CityWaterford 2.04e-05 ***
## Residence_CityWATERFORD 0.726164
## Residence_CityWATERTOWN 0.822984
## Residence_CityWEST HAVEN 0.731670
## Residence_CityWest Hartford 0.006856 **
## Residence_CityWEST HARTFORD 0.782805
## Residence_CityWest Haven 0.010837 *
## Residence_CityWEST HAVEN 0.666372
## Residence_CityWest Springfield 0.006598 **
## Residence_CityWest Suffield 0.000546 ***
## Residence_CityWESTBROOK 0.039161 *
## Residence_CityWESTON 0.451934
## Residence_CityWestport 0.025331 *
## Residence_CityWESTPORT 0.564389
## Residence_CityWethersfield 0.008599 **
## Residence_CityWETHERSFIELD 0.298005
## Residence_CityWillimantic 0.005955 **
## Residence_CityWILLIMANTIC 0.475587
## Residence_CityWILLINGTON 0.934176
## Residence_CityWILLISTON PARK 0.233625
## Residence_CityWILTON 0.607564
## Residence_CityWinchester 0.000481 ***
## Residence_CityWINCHESTER 0.295614
## Residence_CityWINDBER 0.079064 .
## Residence_CityWindham 0.033334 *
## Residence_CityWINDHAM 0.264134
## Residence_CityWindsor 0.036200 *
## Residence_CityWINDSOR 0.513379
## Residence_CityWindsor Locks 1.48e-05 ***
## Residence_CityWINDSOR LOCKS 0.642556
## Residence_CityWINGDALE 0.846270
## Residence_CityWinsted 6.78e-05 ***
## Residence_CityWINSTED 0.870174
## Residence_CityWolcott 0.034296 *
## Residence_CityWOLCOTT 0.928173
## Residence_CityWoodbridge 0.063401 .
## Residence_CityWOODBRIDGE 0.332923
## Residence_CityWOODBURY 0.271068
## Residence_CityWoodstock 0.000591 ***
## Residence_CityYORKTOWN HEIGHTS 0.604353
## Death_CityANDOVER NA
## Death_CityAnsonia 0.617071
## Death_CityANSONIA 0.902729
## Death_CityAshford NA
## Death_CityAvon NA
## Death_CityAVON 0.264026
## Death_CityBAKERSVILLE 0.079962 .
## Death_CityBEACON FALLS NA
## Death_CityBerlin 0.637656
## Death_CityBERLIN 0.191663
## Death_CityBethany 0.904087
## Death_CityBETHANY NA
## Death_CityBethel NA
## Death_CityBloomfield NA
## Death_CityBLOOMFIELD NA
## Death_CityBranford 0.660412
## Death_CityBRANFORD 0.976793
## Death_CityBridgeport 0.526090
## Death_CityBRIDGEPORT 0.479463
## Death_CityBridgewater NA
## Death_CityBristol 0.513233
## Death_CityBRISTOL 0.122276
## Death_CityBROOKFIELD 0.898223
## Death_CityBrooklyn NA
## Death_CityBROOKLYN NA
## Death_CityBurlington NA
## Death_CityBURLINGTON NA
## Death_CityCanterbury NA
## Death_CityCANTERBURY NA
## Death_CityCanton NA
## Death_CityCHAPLIN 0.463592
## Death_CityCHESHIRE 0.616400
## Death_CityClinton NA
## Death_CityCLINTON 0.164209
## Death_CityCOLCHESTER NA
## Death_CityColumbia 0.907783
## Death_CityCOLUMBIA NA
## Death_CityCos Cob NA
## Death_CityCoventry NA
## Death_CityCromwell 0.844941
## Death_CityDanbury NA
## Death_CityDANBURY 0.901730
## Death_CityDANIELSON 0.836334
## Death_CityDARIEN 0.569697
## Death_CityDayville NA
## Death_CityDAYVILLE NA
## Death_CityDEEP RIVER NA
## Death_CityDerby 0.731111
## Death_CityDERBY 0.934688
## Death_CityDURHAM 0.382146
## Death_CityEAST HADDAM 0.392453
## Death_CityEast Hampton NA
## Death_CityEAST HAMPTON 0.098985 .
## Death_CityEast Hartford 0.977291
## Death_CityEAST HARTFORD 0.215512
## Death_CityEast Haven NA
## Death_CityEAST HAVEN 0.872982
## Death_CityEAST LYME 0.142980
## Death_CityEast Windsor 0.673544
## Death_CityEAST WINDSOR 0.476589
## Death_CityEaston 0.421187
## Death_CityEnfield NA
## Death_CityENFIELD 0.221606
## Death_CityESSEX NA
## Death_CityFairfield 0.509278
## Death_CityFAIRFIELD 0.701282
## Death_CityFarmington NA
## Death_CityFARMINGTON NA
## Death_CityFRANKLIN NA
## Death_CityGALES FERRY 0.744009
## Death_CityGlastonbury 0.812120
## Death_CityGLASTONBURY 0.926647
## Death_CityGRANBY 0.695498
## Death_CityGreenwich NA
## Death_CityGREENWICH 0.139439
## Death_CityGriswold NA
## Death_CityGRISWOLD 0.323338
## Death_CityGroton NA
## Death_CityGROTON 0.569841
## Death_CityGROTON LONG POINT NA
## Death_CityGuilford 0.671470
## Death_CityHADDAM 0.176699
## Death_CityHamden 0.633972
## Death_CityHAMDEN 0.167860
## Death_CityHANOVER NA
## Death_CityHartford 0.995529
## Death_CityHARTFORD 0.183855
## Death_CityHARWINTON 0.876757
## Death_CityHEBRON NA
## Death_CityIVORYTON NA
## Death_CityJewett City NA
## Death_CityJEWETT CITY 0.252376
## Death_CityKillingly NA
## Death_CityKILLINGLY NA
## Death_CityKILLINGWORTH NA
## Death_CityLebanon NA
## Death_CityLEBANON 0.649379
## Death_CityLedyard NA
## Death_CityLEDYARD NA
## Death_CityMadison 0.497154
## Death_CityMADISON 0.377807
## Death_CityManchester 0.620964
## Death_CityMANCHESTER 0.219951
## Death_CityMansfield NA
## Death_CityMANSFIELD 0.244234
## Death_CityMarlborough 0.598996
## Death_CityMARLBOROUGH NA
## Death_CityMASHANTUCKET NA
## Death_CityMeriden 0.674868
## Death_CityMERIDEN 0.942257
## Death_CityMiddlebury NA
## Death_CityMIDDLEBURY NA
## Death_CityMIDDLEFIELD NA
## Death_CityMiddletown 0.662021
## Death_CityMIDDLETOWN 0.903238
## Death_CityMilford 0.620757
## Death_CityMILFORD 0.529657
## Death_CityMONROE 0.961767
## Death_CityMONTVILLE NA
## Death_CityMoodus NA
## Death_CityMoosup NA
## Death_CityMOOSUP NA
## Death_CityMystic NA
## Death_CityN HAVEN 0.825976
## Death_CityNaugatuck 0.865474
## Death_CityNAUGATUCK 0.722461
## Death_CityNew Britain 0.795396
## Death_CityNEW BRITAIN 0.087175 .
## Death_CityNew Canaan NA
## Death_CityNEW CANAAN NA
## Death_CityNEW HARTFORD NA
## Death_CityNew Haven 0.606489
## Death_CityNEW HAVEN 0.970222
## Death_CityNew London 0.731048
## Death_CityNEW LONDON 0.617345
## Death_CityNew Milford 0.914362
## Death_CityNEW MILFORD 0.361714
## Death_CityNewington 0.622446
## Death_CityNewtown 0.442922
## Death_CityNEWTOWN 0.330535
## Death_CityNIANTIC NA
## Death_CityNORTH BRANFORD 0.770172
## Death_CityNorth Canaan NA
## Death_CityNORTH CANAAN 0.653745
## Death_CityNORTH GROSVENORDALE NA
## Death_CityNorth Haven 0.537948
## Death_CityNORTH HAVEN 0.265136
## Death_CityNORTHFORD NA
## Death_CityNorwalk 0.799499
## Death_CityNORWALK 0.876961
## Death_CityNorwich 0.852290
## Death_CityNORWICH 0.242699
## Death_CityOAKVILLE 0.634220
## Death_CityOld Saybrook NA
## Death_CityOLD SAYBROOK 0.841351
## Death_CityORANGE NA
## Death_CityOxford NA
## Death_CityOXFORD 0.895861
## Death_CityPAWCATUCK 0.342855
## Death_CityPlainfield NA
## Death_CityPlainville 0.872491
## Death_CityPLAINVILLE 0.046285 *
## Death_CityPlantsville NA
## Death_CityPLANTSVILLE 0.959322
## Death_CityPortland 0.612802
## Death_CityPORTLAND 0.074238 .
## Death_CityPutnam NA
## Death_CityPUTNAM NA
## Death_CityQUINEBAUG NA
## Death_CityRedding 0.979392
## Death_CityRocky Hill NA
## Death_CityROCKY HILL NA
## Death_CitySalisbury NA
## Death_CitySALISBURY 0.876284
## Death_CitySeymour 0.628747
## Death_CitySEYMOUR 0.807676
## Death_CitySHARON NA
## Death_CityShelton NA
## Death_CitySHELTON 0.692108
## Death_CitySHERMAN 0.947098
## Death_CitySIMSBURY NA
## Death_CitySomers NA
## Death_CitySOMERS 0.047438 *
## Death_CitySouth Windsor NA
## Death_CitySOUTHBURY NA
## Death_CitySouthington 0.840121
## Death_CitySOUTHINGTON 0.945058
## Death_CitySPRAGUE NA
## Death_CitySTAFFORD SPGS NA
## Death_CitySTAFFORD SPRINGS NA
## Death_CityStamford 0.518047
## Death_CitySTAMFORD NA
## Death_CitySTERLING 0.328049
## Death_CitySTONINGTON NA
## Death_CityStorrs NA
## Death_CityStratford 0.513148
## Death_CitySTRATFORD 0.290719
## Death_CitySuffield 0.724682
## Death_CitySUFFIELD NA
## Death_CityTAFTVILLE NA
## Death_CityTARIFFVILLE NA
## Death_CityTerryville NA
## Death_CityTERRYVILLE 0.859549
## Death_CityTHOMASTON 0.930046
## Death_CityTHOMPSON NA
## Death_CityTolland NA
## Death_CityTOLLAND 0.836370
## Death_CityTorrington NA
## Death_CityTORRINGTON 0.439556
## Death_CityTrumbull 0.583540
## Death_CityTRUMBULL 0.142402
## Death_CityUNCASVILLE 0.282092
## Death_CityVernon 0.946939
## Death_CityVERNON 0.093624 .
## Death_CityVOLUNTOWN NA
## Death_CityWallingford 0.656890
## Death_CityWALLINGFORD 0.773174
## Death_CityWARREN NA
## Death_CityWASHINGTON NA
## Death_CityWaterbury 0.974774
## Death_CityWATERBURY 0.401204
## Death_CityWaterford NA
## Death_CityWATERFORD 0.201810
## Death_CityWATERTOWN 0.757696
## Death_CityWest Hartford 0.906922
## Death_CityWEST HARTFORD 0.404452
## Death_CityWest Haven 0.515539
## Death_CityWEST HAVEN 0.880992
## Death_CityWest Suffield NA
## Death_CityWESTBROOK 0.070593 .
## Death_CityWESTPORT 0.038614 *
## Death_CityWethersfield 0.794427
## Death_CityWETHERSFIELD NA
## Death_CityWillimantic 0.919640
## Death_CityWILLIMANTIC 0.794043
## Death_CityWILLINGTON 0.497737
## Death_CityWinchester NA
## Death_CityWINCHESTER NA
## Death_CityWindham 0.834023
## Death_CityWINDHAM NA
## Death_CityWindsor NA
## Death_CityWINDSOR 0.153323
## Death_CityWindsor Locks NA
## Death_CityWINDSOR LOCKS NA
## Death_CityWinsted NA
## Death_CityWINSTED NA
## Death_CityWOODBRIDGE NA
## Death_CityWoodstock NA
## New_Residence_CountyBristol 0.912471
## New_Residence_CountyBronx NA
## New_Residence_CountyClay NA
## New_Residence_CountyClinton NA
## New_Residence_CountyCollier NA
## New_Residence_CountyCook NA
## New_Residence_CountyCumberland NA
## New_Residence_CountyCuyahoga NA
## New_Residence_CountyDakota NA
## New_Residence_CountyDutchess NA
## New_Residence_CountyEssex NA
## New_Residence_CountyFairfield NA
## New_Residence_CountyHampden NA
## New_Residence_CountyHarris NA
## New_Residence_CountyHartford NA
## New_Residence_CountyLake NA
## New_Residence_CountyLitchfield NA
## New_Residence_CountyLos Angeles NA
## New_Residence_CountyMiddlesex NA
## New_Residence_CountyMoultrie NA
## New_Residence_CountyMuscogee NA
## New_Residence_CountyNassau NA
## New_Residence_CountyNew Haven NA
## New_Residence_CountyNew London NA
## New_Residence_CountyNew York NA
## New_Residence_CountyOrange NA
## New_Residence_CountyProvidence NA
## New_Residence_CountyPutnam NA
## New_Residence_CountyQueens NA
## New_Residence_CountySomerset NA
## New_Residence_CountySt John The Baptist NA
## New_Residence_CountySuffolk NA
## New_Residence_CountyTolland NA
## New_Residence_CountyWestchester NA
## New_Residence_CountyWindham NA
## New_Residence_CountyWorcester NA
## New_Death_CountyHartford NA
## New_Death_CountyLitchfield NA
## New_Death_CountyMiddlesex NA
## New_Death_CountyNew Haven NA
## New_Death_CountyNew London NA
## New_Death_CountyTolland NA
## New_Death_CountyWindham NA
## LocationHospital 0.066234 .
## LocationOther 0.122852
## LocationResidence 0.128064
## MannerofDeathAccident 0.037469 *
## MannerofDeathACCIDENT NA
## MannerofDeathPending 0.827307
## InjuryPlaceApartment House 0.592134
## InjuryPlaceAutomobile 0.077250 .
## InjuryPlaceBuilding 0.487678
## InjuryPlacecar in hartford 0.725779
## InjuryPlaceConvenience Store 0.066747 .
## InjuryPlaceDetoxification Center 0.101526
## InjuryPlaceDriveway 0.185139
## InjuryPlaceFriend's Residence 0.557592
## InjuryPlaceGarage 0.483653
## InjuryPlaceGas Station 0.403718
## InjuryPlaceHalfway House 0.092687 .
## InjuryPlacehomeless shelter 0.186721
## InjuryPlaceHospital 2.87e-05 ***
## InjuryPlaceHospital or Emergency Room 0.329304
## InjuryPlaceHotel or Motel 0.100472
## InjuryPlaceHouse 0.293766
## InjuryPlaceIn Vehicle 0.223486
## InjuryPlaceMultiple Locations 0.624006
## InjuryPlaceNursing Home 0.463496
## InjuryPlaceOffice Building 0.010006 *
## InjuryPlaceOther 0.000964 ***
## InjuryPlaceOther (unknown) 0.283257
## InjuryPlaceOther indoor Area 0.544056
## InjuryPlaceOther, Farm or Ranch NA
## InjuryPlaceOther, Health Care Facility 0.891988
## InjuryPlaceOther, Other Outdoor Area 0.776779
## InjuryPlaceOther, Park or Recreational Area 0.241906
## InjuryPlaceOther, Public Buildings 0.306898
## InjuryPlaceParking Lot 0.048527 *
## InjuryPlacePorch 0.606123
## InjuryPlaceRehab House 0.424928
## InjuryPlaceresidence NA
## InjuryPlaceResidence 0.055633 .
## InjuryPlaceresidential building NA
## InjuryPlaceResidential Building 0.335598
## InjuryPlaceRestaurant 0.570864
## InjuryPlaceShed 0.501727
## InjuryPlaceSidewalk 0.125271
## InjuryPlaceStairs 0.526627
## InjuryPlaceStore or Shopping Area 0.060212 .
## InjuryPlaceStreet 0.057974 .
## InjuryPlaceUniversity or College NA
## InjuryPlaceUnknown 0.087409 .
## InjuryPlaceYard 0.429331
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.41 on 1029 degrees of freedom
## ( 651 個の観測値が欠損のため削除されました )
## Multiple R-squared: 0.8426, Adjusted R-squared: 0.7642
## F-statistic: 10.74 on 513 and 1029 DF, p-value: < 2.2e-16This multiple regression model was found to be 76.42 percent correlated with year of occurrence, age of death, sex, race, city of residence, city of death, state group of residence, state group of death, place of death (Location), Manner of Death and Injury Place. In particular, there was a correlation between gender and region of residence with a tendency to be more pronounced place of Injury place (Hospital, office building, etc. ) than for gender-male. Moreover,there is a trend that accidental death is rising year by year. I was supprised the drug death happened in the office building. F-statistic: 10.74 on 513 and 1029 DF, p-value: < 2.2e-16 -The model is highly meaningful because the F-value is very small (10.74 out of 513) and the p-value is smaller than 0.05. For removing “NA,” I used - !is.na formula; however, some variables were not removed correctly for some reason.
Map
So what this map shows is that there is simply be no need to list age, race, or place to dead city.
- The topic of the data, any variables included, what kind of variables they are, where the data came from and how you cleaned it up (be detailed and specific, using proper terminology where appropriate). Be sure to explain why you chose this topic and dataset – what meaning does it have for you? This part of the essay must go at the beginning, before you load data and libraries.
- Please see introduction
- Incorporate brief background research about this topic. This background information will include information you find in an article, website, or book. Please source this background information within the essay or if you have multiple sources, include a bibliography. I am not particular about the format of this bibliography. If you need help finding articles, I am happy to help you and/or show you how to search the MC Library Database.
In 2022, over 1,467 Connecticut residents died from fentanyl or different opioid overdoses. This represents an 80% share of all opioid-related deaths within the Connecticut. Fentanyl, a effective synthetic opioid, is often combined into different capsules without the consumer’s knowledge, increasing the hazard of overdose. Resource: Wu, Zhan, et al. “Fentanyl, Heroin, and Cocaine Overdose Fatalities Are Shifting to the Black Community: An Analysis of the State of Connecticut.” Journal of Racial and Ethnic Disparities, vol. 9, no. 2, May 2021, pp. 722–30. https://doi.org/10.1007/s40615-021-01007-6. There are nearly 3 accidental drug deaths every day in CT. According to the Connecticut Department of Public Health interactive dashboard, there were 1,378 opioid overdose deaths in Connecticut in 2020. This is an increase of 14.6% from the previous year, 2019 with 1,202 overdose deaths. In all opioid overdose cases in the State, Naloxone was administered in 80.5% of cases overall. From 2015 - 2021, there have been 6,752 drug overdose deaths in CT so far. https://fairfieldct.org/service/health_department/opioids.php
- What the visualization represents, any interesting patterns or surprises that arise within the visualization, and anything that could have been shown that you could not get to work or that you wished you could have included. Knit your Markdown and publish
The heat graph shows that the largest number of drug deaths occur between the ages of just out of college and about 35 (perhaps the age of marriage?). Most drug-related deaths occur from just after college to about 35 years of age (perhaps the age of marriage?). Except for this age group, the distribution of drug-related deaths is almost constant across all age groups, indicating that drug-related deaths at any age are an inevitable fact of life.
Initially, I wanted to create a minority group (Asian,other,and Unknown) and build a linear model of it, but out of a total of 4,081 data, it could only use 33, which was insufficient. I could have used bootstrapping or another method to predict this area. In the Linear model, I created 5-6 patterns. Surprisingly, the results were entirely meaningless for age and other values.In the linear model, age and gender were almost uncorrelated, but the City of Residence and Injured place were fascinating. Depending on the city and injured place in which one lives, there was a clear distinction between those with robust correlations and those without. This should be fascinating data for those who plan to live in or visit this area in the future. Additionally, the original CSV file did not have all the drug types in one column, so I did not create a new row for this assignment because I did not have much time to do so. I created a row for heroin only (with y=1) to create a data frame, but I realized that it did not make much sense (including the correlation model). Moreover, many of these drug-related deaths are not caused by one drug but rather by multiple drugs; it is too limited time for this few days of preparation assignment.