This document will guide you through some data analysis tasks with a focus on fitting tree-based models and training them. We’ll also (re)-visit some other topics.
While this is in some sense a stand-alone analysis, I assume that you have worked through the Data Analysis exercise and are familiar with the dataset and all the things we discovered during the cleaning process. We’ll use the same dataset here but focus on a different outcome. Other than that, the way to work through the exercise is like in the Data Analysis exercise, namely by writing/completing the missing code.
We need a variety of different packages, which are loaded here. Install as needed. For this analysis, we’ll again use the caret
package. If you use others, load them here.
We will again use the Norovirus dataset.
#Write code that loads the dataset
#You can of course re-use code you wrote in the other file.
norodata_raw <- read.csv("./norodata.csv")
glimpse(norodata_raw)
## Observations: 1,022
## Variables: 139
## $ id <int> 2, 17, 39, 40, 41, 42, 43, 44, 67, 74, 7...
## $ Author <fct> Akihara, Becker, Boxman, Boxman, Boxman,...
## $ Pub_Year <int> 2005, 2000, 2009, 2009, 2009, 2009, 2009...
## $ pubmedid <int> 15841336, 11071673, 19205471, 19205471, ...
## $ EpiCurve <fct> Y, Y, N, N, N, N, N, N, N, N, Y, Y, Y, Y...
## $ TDComment <fct> , , , , , , , , , , , , , , , , , , , No...
## $ AHComment <fct> , , , , , , , , , , , , , , , , , , , , ...
## $ Trans1 <fct> Unspecified, Foodborne, Foodborne, Foodb...
## $ Trans1_O <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ Trans2 <fct> (not applicable), Person to Person, ...
## $ Trans2_O <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ Trans3 <fct> (not applicable), (not applicable), ...
## $ Trans3_O <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ Risk1 <dbl> 0.00000, 108.00000, 130.00000, 4.00000, ...
## $ Risk2 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
## $ RiskAll <dbl> 0.00000, 108.00000, 130.00000, 4.00000, ...
## $ Cases1 <int> 15, 43, 27, 4, 15, 6, 40, 10, 116, 45, 1...
## $ Cases2 <int> NA, 22, NA, NA, NA, NA, NA, NA, NA, NA, ...
## $ CasesAll <int> 15, 65, 27, 4, 15, 6, 40, 10, 116, 45, 1...
## $ Rate1 <dbl> NA, 39.814815, 20.769231, 100.000000, 60...
## $ Rate2 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
## $ RateAll <dbl> 0.000000, 39.814815, 20.769231, 100.0000...
## $ Hospitalizations <int> 0, 0, 0, 0, 0, 0, 0, 0, 5, 10, 3, 0, 0, ...
## $ Deaths <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ Vehicle_1 <fct> 0, Boxed Lunch, 0, 0, 0, 0, 0, 0, 0, Oys...
## $ Veh1 <fct> Unspecified, Yes, Unspecified, Unspecifi...
## $ Veh1_D_1 <fct> 0, Turkey Sandwich in boxed lunch, 0, 0,...
## $ Veh2 <fct> No, Yes, No, No, No, No, No, No, No, No,...
## $ Veh2_D_1 <fct> 0, Football players, 0, 0, 0, 0, 0, 0, 0...
## $ Veh3 <fct> No, No, No, No, No, No, No, No, No, No, ...
## $ Veh3_D_1 <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ PCRSect <fct> Capsid, Polymerase, Both, Both, Both, Bo...
## $ OBYear <fct> 1999, 1998, 2006, 2006, 2006, 2006, 2006...
## $ Hemisphere <fct> Northern, Northern, Northern, Northern, ...
## $ season <fct> Fall, Fall, Fall, Fall, Fall, Fall, Fall...
## $ MeanI1 <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ MedianI1 <int> 0, 37, 0, 0, 0, 0, 0, 0, 0, 31, 34, 33, ...
## $ Range_S_I1 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 6, 0, 0...
## $ Range_L_I1 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 69, 0, 96, 0,...
## $ MeanD1 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, ...
## $ MedianD1 <dbl> 0, 36, 0, 0, 0, 0, 0, 0, 0, 48, 37, 24, ...
## $ Range_S_D1 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 10, 0, 5, 4, ...
## $ Range_L_D1 <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 168, 0, 120, ...
## $ MeanA1 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
## $ MedianA1 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
## $ Range_Y_A1 <fct> 0.75, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ Range_O_A1 <dbl> 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ Action1 <fct> Unspecified, Unspecified, Unspecified, U...
## $ Action2_1 <fct> "0", "0", "0", "0", "0", "0", "0", "0", ...
## $ Secondary <fct> No, Yes, No, No, No, No, No, No, No, No,...
## $ MeanI2 <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ MedianI2 <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ Range_S_I2 <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ Range_L_I2 <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ MeanD2 <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ MedianD2 <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ Range_S_D2 <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ Range_L_D2 <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ Mea.2 <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ Media.2 <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ Range_Y_A2 <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ Range_O_A2 <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ Comments_1 <fct> "Outbreak took place during a study on g...
## $ Path1 <fct> No, No, Unspecified, Unspecified, Unspec...
## $ Path2_1 <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ Country <fct> Japan, USA, Other, Other, Other, Other, ...
## $ Category <fct> Daycare, Foodservice, Foodservice, Foods...
## $ State <fct> "0", "NC, FL", "0", "0", "0", "0", "0", ...
## $ Setting_1 <fct> "Daycare Center", "Boxed lunch, football...
## $ StartMonth <int> 11, 9, 9, 10, 11, 11, 11, 11, 11, 11, 11...
## $ EndMonth <int> 12, 9, 0, 0, 0, 0, 0, 0, 11, 11, 11, 11,...
## $ GGA <int> 2, 1, 2, 0, 2, 0, 0, 0, 2, 0, 0, 0, 0, 0...
## $ CA <int> 4, 0, 4, 0, 4, 0, 0, 0, 4, 0, 0, 0, 0, 0...
## $ SA <fct> Lordsdale, Thistle Hall 1/91, GII.4 2006...
## $ new_GGA <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ new_CA <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ new_SA <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ SA_resolved_from <fct> , , , , , , , , , , , , , , , , , , , Zh...
## $ GGB <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ CB <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ SB <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ new_GGB <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ new_CB <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ new_SB <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ SB_resolved_from <fct> , , , , , , , , , , , , , , , , , , http...
## $ GGC <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ CC <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ SC <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ new_ggc <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ new_cc <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ new_sc <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ SC_resolved_from <fct> , , , , , , , , , , , , , , , , , , , , ...
## $ GGD <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ CD <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ SD <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ new_ggd <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ new_cd <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ new_sd <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ SD_resolved_from <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
## $ StrainOther <fct> "0", "0", "0", "0", "0", "0", "0", "0", ...
## $ strainother_rc <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ gge <fct> 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0...
## $ ce <int> 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0...
## $ se <fct> 0, 0, 0, 0, 0, 0, 0, 0, GII.4a 2004, 0, ...
## $ SE_resolved_from <fct> , , , , , , , , abstraction of StrainOth...
## $ ggf <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ cf <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ sf <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ ggg <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ cg <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ sg <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ ggh <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ ch <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ sh <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ ggi <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ ci <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ si <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ ggj <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ cj <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ sj <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ Country2 <fct> "0", "0", "The Netherlands", "The Nether...
## $ Veh1_D_2 <fct> "0", "Boxed Lunch", "0", "0", "0", "0", ...
## $ Veh2_D_2 <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ Veh3_D_2 <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ Action2_2 <fct> "0", "0", "0", "0", "0", "0", "0", "0", ...
## $ Comments_2 <fct> "Limited data", "0", "Outbreak 19 of 26 ...
## $ Path2_2 <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ Setting_2 <fct> 0, 0, Buffet, Restaurant, Buffet, take o...
## $ category1 <fct> School/Daycare, Foodservice, Foodservice...
## $ strainothergg2c4 <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ gg2c4 <fct> Yes, , Yes, , Yes, , , , Yes, , , , , , ...
## $ Vomit <int> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
## $ IncInd <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ SymInd <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ PooledLat <dbl> 0, 37, 0, 0, 0, 0, 0, 0, 0, 31, 34, 33, ...
## $ PooledSym <int> 0, 36, 0, 0, 0, 0, 0, 0, 0, 48, 37, 24, ...
## $ PooledAge <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ IndividualLatent <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
## $ IndividualSymptomatic <fct> , , , , , , , , , , , , , , , , , , , , ...
For this analysis, we consider as our main outcome of interest the season. This is a categorical outcome with more than 2 categories, something we haven’t looked at before. Because it’s more than 2 categories, a basic logistic model won’t work. Fortunately, tree-based models can deal with multiple categories.
## [1] Fall Spring Summer Winter
## Levels: Fall Spring Summer Winter
## Fall Spring Summer Winter
## 67 164 222 126 443
We already knew from previous explorations that some entries do not have a season. We could either code them as “other” and keep them in the model, or remove them. Since it’s hard to see any potential scientific reason why there should be a correlation between an “other” season and some variable, we’ll remove it here.
We also notice that while winter is dominant (makes sense, we know that norovirus is more common in winter), we got a decent number of outbreaks for each season, so we shouldn’t have a problem with (un)balanced data.
#write code that removes all observations that have an empty/missing value for season
#then drop the empty level and check that you have 4 categories for season left
remove_blank <- norodata_raw[!(norodata_raw$season == ""), ]
drop_levels <- droplevels(remove_blank)
glimpse(drop_levels$season)
## Factor w/ 4 levels "Fall","Spring",..: 1 1 1 1 1 1 1 1 1 1 ...
We will pick similar variables as previously, but with some changes. Keep the following variables: Action1, CasesAll, Country, Deaths, EndMonth, GG2C4, Hemisphere, Hospitalizations, MeanD1, MeanI1, MedianD1, MedianI1, OBYear, Path1, RateAll, RiskAll, Season, Setting, StartMonth, State, Trans1, Vomit.
# write code that retains the above mentioned variables
reduced <- drop_levels %>% dplyr::select(Action1, CasesAll, Country, Deaths, EndMonth, gg2c4, Hemisphere, Hospitalizations, MeanD1, MeanI1, MedianD1, MedianI1, OBYear, Path1, RateAll, RiskAll, season, Setting_1, StartMonth, State, Trans1, Vomit)
We’ll have to perform the usual cleaning steps. You might have realized by now that even for the same dataset, cleaning steps can differ based on the outcome (and as you see below, the model).
Let’s first check for missing values.
Looks like none of the new variables we included had a ton of missing, so we would probably be ok just removing any observation that has missing data. However, tree-based models can deal with missing data in predictors. Therefore, we’ll keep them for now. We’ll later compare how the model does or does not change if we remove those observations.
Let’s make sure everything has the right format (numeric/integer/factor). Adjust/recode variables as needed. You will likely find that as you convert OBYear
to numeric, something doesn’t quite work. Take a look. Fix by removing the observation with the troublesome entry, then convert to numeric. Finally, remove the observations that have 0 as OByear - there are more than 1 now.
#write code that cleans OBYear, convert it to numeric. Remove observations with OBYear = 0.
#also convert any other variables as needed
remove_1983 <- reduced[!(reduced$OBYear == "1983"), ]
remove_1983$OBYear <- as.numeric(levels(remove_1983$OBYear))[remove_1983$OBYear]
## Warning: NAs introduced by coercion
## [1] 1999 1998 2006 2004 1993 2002 2005 1997 2003 1994 2008 2000 2001 1995
## [15] 1996 2007 2009 1990 2010 1992 NA
## Observations: 953
## Variables: 22
## $ Action1 <fct> Unspecified, Unspecified, Unspecified, Unspec...
## $ CasesAll <int> 15, 65, 27, 4, 15, 6, 40, 10, 116, 45, 184, 1...
## $ Country <fct> Japan, USA, Other, Other, Other, Other, Other...
## $ Deaths <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...
## $ EndMonth <int> 12, 9, 0, 0, 0, 0, 0, 0, 11, 11, 11, 11, 12, ...
## $ gg2c4 <fct> Yes, , Yes, , Yes, , , , Yes, , , , , , , , ,...
## $ Hemisphere <fct> Northern, Northern, Northern, Northern, North...
## $ Hospitalizations <int> 0, 0, 0, 0, 0, 0, 0, 0, 5, 10, 3, 0, 0, 0, 0,...
## $ MeanD1 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0,...
## $ MeanI1 <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...
## $ MedianD1 <dbl> 0, 36, 0, 0, 0, 0, 0, 0, 0, 48, 37, 24, 0, 0,...
## $ MedianI1 <int> 0, 37, 0, 0, 0, 0, 0, 0, 0, 31, 34, 33, 0, 0,...
## $ OBYear <dbl> 1999, 1998, 2006, 2006, 2006, 2006, 2006, 200...
## $ Path1 <fct> No, No, Unspecified, Unspecified, Unspecified...
## $ RateAll <dbl> 0.000000, 39.814815, 20.769231, 100.000000, 6...
## $ RiskAll <dbl> 0.00000, 108.00000, 130.00000, 4.00000, 25.00...
## $ season <fct> Fall, Fall, Fall, Fall, Fall, Fall, Fall, Fal...
## $ Setting_1 <fct> "Daycare Center", "Boxed lunch, football game...
## $ StartMonth <int> 11, 9, 9, 10, 11, 11, 11, 11, 11, 11, 11, 11,...
## $ State <fct> "0", "NC, FL", "0", "0", "0", "0", "0", "0", ...
## $ Trans1 <fct> Unspecified, Foodborne, Foodborne, Foodborne,...
## $ Vomit <int> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
Look at the data to see what else we need to do.
## 'data.frame': 953 obs. of 22 variables:
## $ Action1 : Factor w/ 4 levels "No","Unknown",..: 3 3 3 3 3 3 3 3 3 4 ...
## $ CasesAll : int 15 65 27 4 15 6 40 10 116 45 ...
## $ Country : Factor w/ 21 levels "Australia","Brazil",..: 11 21 16 16 16 16 16 16 16 21 ...
## $ Deaths : int 0 0 0 0 0 0 0 0 0 0 ...
## $ EndMonth : int 12 9 0 0 0 0 0 0 11 11 ...
## $ gg2c4 : Factor w/ 2 levels "","Yes": 2 1 2 1 2 1 1 1 2 1 ...
## $ Hemisphere : Factor w/ 2 levels "Northern","Southern": 1 1 1 1 1 1 1 1 1 1 ...
## $ Hospitalizations: int 0 0 0 0 0 0 0 0 5 10 ...
## $ MeanD1 : num 0 0 0 0 0 0 0 0 0 0 ...
## $ MeanI1 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ MedianD1 : num 0 36 0 0 0 0 0 0 0 48 ...
## $ MedianI1 : int 0 37 0 0 0 0 0 0 0 31 ...
## $ OBYear : num 1999 1998 2006 2006 2006 ...
## $ Path1 : Factor w/ 4 levels "No","Unknown",..: 1 1 3 3 3 3 3 3 1 3 ...
## $ RateAll : num 0 39.8 20.8 100 60 ...
## $ RiskAll : num 0 108 130 4 25 ...
## $ season : Factor w/ 4 levels "Fall","Spring",..: 1 1 1 1 1 1 1 1 1 1 ...
## $ Setting_1 : Factor w/ 374 levels "\tPsychiatric Care Center adjoined",..: 118 32 39 301 39 341 39 301 196 3 ...
## $ StartMonth : int 11 9 9 10 11 11 11 11 11 11 ...
## $ State : Factor w/ 36 levels "0","1","14 states: CA, UT, KS, WI, IL, IN, OH, GA, FL, NC, VA, WV, NY, PA,",..: 1 21 1 1 1 1 1 1 1 9 ...
## $ Trans1 : Factor w/ 6 levels "Environmental",..: 5 2 2 2 2 2 2 2 5 2 ...
## $ Vomit : int 1 1 1 1 1 1 1 1 1 1 ...
## Action1 CasesAll Country Deaths
## No : 1 Min. : 1.0 Other :396 Min. :0.00000
## Unknown : 1 1st Qu.: 9.0 Japan :371 1st Qu.:0.00000
## Unspecified:741 Median : 25.0 USA :106 Median :0.00000
## Yes :209 Mean : 129.1 Australia: 21 Mean :0.05385
## NA's : 1 3rd Qu.: 64.0 Multiple : 17 3rd Qu.:0.00000
## Max. :32150.0 (Other) : 41 Max. :9.00000
## NA's :6 NA's : 1 NA's :43
## EndMonth gg2c4 Hemisphere Hospitalizations
## Min. : 0.000 :675 Northern:872 Min. : 0.0000
## 1st Qu.: 0.000 Yes :277 Southern: 80 1st Qu.: 0.0000
## Median : 0.000 NA's: 1 NA's : 1 Median : 0.0000
## Mean : 2.562 Mean : 0.7121
## 3rd Qu.: 4.000 3rd Qu.: 0.0000
## Max. :12.000 Max. :125.0000
## NA's :1 NA's :43
## MeanD1 MeanI1 MedianD1 MedianI1
## Min. : 0.00 Min. : 0.0000 Min. : 0.000 Min. : 0.000
## 1st Qu.: 0.00 1st Qu.: 0.0000 1st Qu.: 0.000 1st Qu.: 0.000
## Median : 0.00 Median : 0.0000 Median : 0.000 Median : 0.000
## Mean : 1.56 Mean : 0.7132 Mean : 2.614 Mean : 1.705
## 3rd Qu.: 0.00 3rd Qu.: 0.0000 3rd Qu.: 0.000 3rd Qu.: 0.000
## Max. :273.60 Max. :48.0000 Max. :235.200 Max. :65.000
## NA's :1 NA's :1 NA's :1 NA's :1
## OBYear Path1 RateAll RiskAll
## Min. :1990 No :197 Min. : 0.00 Min. : 0.0
## 1st Qu.:2000 Unknown : 3 1st Qu.: 0.00 1st Qu.: 0.0
## Median :2003 Unspecified:674 Median : 16.38 Median : 20.0
## Mean :2002 Yes : 78 Mean : 27.05 Mean : 400.1
## 3rd Qu.:2005 NA's : 1 3rd Qu.: 49.00 3rd Qu.: 111.0
## Max. :2010 Max. :105.00 Max. :35000.0
## NA's :1 NA's :104 NA's :116
## season Setting_1 StartMonth State
## Fall :164 Restaurant:104 Min. : 0.000 0 :841
## Spring:222 0 : 85 1st Qu.: 2.000 NC : 18
## Summer:124 restaurant: 70 Median : 5.000 NY : 10
## Winter:442 Hospital : 39 Mean : 5.888 AK : 9
## NA's : 1 Hotel : 25 3rd Qu.:10.000 FL : 7
## (Other) :629 Max. :12.000 (Other): 67
## NA's : 1 NA's :1 NA's : 1
## Trans1 Vomit
## Environmental : 11 Min. :0.0000
## Foodborne :372 1st Qu.:0.0000
## Person to Person:150 Median :1.0000
## Unknown : 63 Mean :0.5068
## Unspecified :284 3rd Qu.:1.0000
## Waterborne : 72 Max. :1.0000
## NA's : 1 NA's :2
Some issues we noted previously: We need to remove the Unspecified
entry in Hemisphere
and recode Action1
and Path1
as described in the Data Analysis exercise, i.e., from Unknown
to Unspecified
. Also, we want to group the Setting_1
variable into just Restaurant
and Other
. Again, remember that there are restaurant
and Restaurant
values, so you need to fix that too.
We’ll also recode the gg2c4 blank entries to “No”. We further note that Action1
has a single No
entry. Let’s remove that observation to prevent potential problems during cross-validation.
Let’s also lump country together, make 3 categories, Japan, USA, and Other.
As discussed previously, it makes sense to move the Waterborne to the Environmental in the Trans1
variable. It also turns out that most outbreaks have no information for state, so best to drop the State
variable.
Finally, move the outcome into the first column.
drop_UH <- OB_Clean[!(OB_Clean$Hemisphere == "Unspecified"), ]
recodeA1P1 <- drop_UH %>% dplyr::mutate(Action1 = recode(Action1, "Unknown" = "Unspecified")) %>% dplyr::mutate(Path1 = recode(Path1, "Unknown" = "Unspecified"))
RecodeRestaurant <- recodeA1P1 %>% mutate(Setting_1 = recode(Setting_1, "restaurant" = "Restaurant", "take-out restaurant" = "Restaurant", "Luncheon and Restaruant" = "Restaurant",
"Catering service in Restaurant" = "Restaurant",
"restaurant in Northern Territory" = "Restaurant",
"Shared meal at a restaurant" = "Restaurant",
"Resaurant" = "Restaurant",
"restaurant; catered party" = "Restaurant"))
find_Restaurant <- RecodeRestaurant[grep("Restaurant", RecodeRestaurant$Setting_1), ]
Restnew <- find_Restaurant %>% dplyr::mutate(Setting = "Restaurant")
Other <- dplyr::filter(RecodeRestaurant, !grepl("Restaurant", Setting_1))
Setting_Other <- Other %>% dplyr::mutate(Setting = "Other")
combined_d<- merge(Setting_Other, Restnew, all = TRUE)
combined_d$Setting_1 <- NULL
#Recode gg2c4
levels(combined_d$gg2c4)[levels(combined_d$gg2c4) == ""] <- "No"
#Remove Action1 = "No"
modify_A1 <- combined_d[!combined_d$Action1 == "No", ]
#Combine countries
combine_country <- modify_A1 %>% dplyr::mutate(Country = recode(Country, "Multiple" = "Other", "Unspecified" = "Other"))
#Waterborne to Environmental
combine_trans <- combine_country %>% dplyr::mutate(Trans1 = recode(Trans1, "Waterborne" = "Environmental"))
#Drop state
drop_state <- dplyr::select(combine_trans, -State)
#Set Setting as.factor
drop_state$Setting <- as.factor(as.character(drop_state$Setting))
#Droplevels to remove empty factor levels
droplevels(drop_state)
## Action1 CasesAll Country Deaths EndMonth gg2c4 Hemisphere
## 1 Unspecified 1 Australia 0 0 No Southern
## 2 Unspecified 1 Australia 0 0 No Southern
## 3 Unspecified 1 Australia 0 0 No Southern
## 4 Unspecified 1 Australia 0 0 No Southern
## 5 Unspecified 1 Australia 0 0 No Southern
## 6 Unspecified 1 Australia 0 0 No Southern
## 7 Unspecified 1 Australia 0 0 No Southern
## 8 Unspecified 1 Australia 0 0 No Southern
## 9 Unspecified 1 Croatia 0 2 No Northern
## 10 Unspecified 1 Croatia 0 2 Yes Northern
## 11 Unspecified 1 Croatia 0 2 Yes Northern
## 12 Unspecified 1 Japan 0 0 No Northern
## 13 Unspecified 1 Japan 0 0 No Northern
## 14 Unspecified 1 Japan 0 0 No Northern
## 15 Unspecified 1 Japan 0 0 No Northern
## 16 Unspecified 1 Japan 0 0 No Northern
## 17 Unspecified 2 Australia 0 0 No Southern
## 18 Unspecified 2 Australia 0 0 No Southern
## 19 Unspecified 2 Australia 0 0 No Southern
## 20 Unspecified 2 Australia 0 0 No Southern
## 21 Unspecified 2 Australia 0 0 No Southern
## 22 Unspecified 2 Croatia 0 2 No Northern
## 23 Unspecified 2 Croatia 0 2 Yes Northern
## 24 Unspecified 2 Japan 0 0 No Northern
## 25 Unspecified 2 Japan 0 0 No Northern
## 26 Unspecified 2 Japan 0 0 No Northern
## 27 Unspecified 2 Japan 0 0 No Northern
## 28 Unspecified 2 Japan 0 0 No Northern
## 29 Unspecified 2 Japan 0 0 No Northern
## 30 Unspecified 2 Japan 0 0 No Northern
## 31 Unspecified 2 Japan 0 0 No Northern
## 32 Unspecified 2 Japan 0 0 No Northern
## 33 Unspecified 2 Japan 0 0 No Northern
## 34 Unspecified 2 Japan 0 0 No Northern
## 35 Unspecified 2 Japan 0 0 No Northern
## 36 Unspecified 2 Japan 0 0 No Northern
## 37 Unspecified 2 Japan 0 0 No Northern
## 38 Unspecified 2 Japan 0 0 No Northern
## 39 Unspecified 2 Japan 0 0 No Northern
## 40 Unspecified 2 Japan 0 0 No Northern
## 41 Unspecified 2 Japan 0 0 No Northern
## 42 Unspecified 2 Japan 0 0 Yes Northern
## 43 Unspecified 2 Japan 0 0 Yes Northern
## 44 Unspecified 2 Japan 0 0 Yes Northern
## 45 Unspecified 2 Japan 0 1 No Northern
## 46 Unspecified 2 Japan 0 1 Yes Northern
## 47 Unspecified 2 Japan 0 1 Yes Northern
## 48 Unspecified 2 Japan 0 1 Yes Northern
## 49 Unspecified 2 Japan 0 1 Yes Northern
## 50 Unspecified 2 Japan 0 1 Yes Northern
## 51 Unspecified 2 Japan 0 2 No Northern
## 52 Unspecified 2 Japan 0 2 No Northern
## 53 Unspecified 2 Japan 0 2 No Northern
## 54 Unspecified 2 Japan 0 3 No Northern
## 55 Unspecified 2 Japan 0 3 No Northern
## 56 Unspecified 2 Japan 0 3 No Northern
## 57 Unspecified 2 Japan 0 3 No Northern
## 58 Unspecified 2 Japan 0 3 No Northern
## 59 Unspecified 2 Japan 0 3 No Northern
## 60 Unspecified 2 Japan 0 5 No Northern
## 61 Unspecified 2 Japan 0 11 Yes Northern
## 62 Unspecified 2 Japan 0 11 Yes Northern
## 63 Unspecified 2 Japan 0 12 Yes Northern
## 64 Unspecified 2 Japan 0 12 Yes Northern
## 65 Unspecified 2 Japan 0 12 Yes Northern
## 66 Unspecified 2 Japan 0 12 Yes Northern
## 67 Unspecified 2 Other 0 0 No Northern
## 68 Unspecified 2 Other 0 0 No Southern
## 69 Unspecified 2 Other 0 0 No Southern
## 70 Unspecified 2 Other 0 0 Yes Northern
## 71 Unspecified 2 Other 0 0 Yes Northern
## 72 Unspecified 3 Australia 0 0 No Southern
## 73 Unspecified 3 Australia 0 0 No Southern
## 74 Unspecified 3 Japan 0 0 No Northern
## 75 Unspecified 3 Japan 0 0 No Northern
## 76 Unspecified 3 Japan 0 0 No Northern
## 77 Unspecified 3 Japan 0 0 No Northern
## 78 Unspecified 3 Japan 0 0 No Northern
## 79 Unspecified 3 Japan 0 0 No Northern
## 80 Unspecified 3 Japan 0 0 No Northern
## 81 Unspecified 3 Japan 0 0 No Northern
## 82 Unspecified 3 Japan 0 0 No Northern
## 83 Unspecified 3 Japan 0 0 No Northern
## 84 Unspecified 3 Japan 0 0 No Northern
## 85 Unspecified 3 Japan 0 0 No Northern
## 86 Unspecified 3 Japan 0 0 No Northern
## 87 Unspecified 3 Japan 0 0 No Northern
## 88 Unspecified 3 Japan 0 0 No Northern
## 89 Unspecified 3 Japan 0 0 No Northern
## 90 Unspecified 3 Japan 0 0 No Northern
## 91 Unspecified 3 Japan 0 0 No Northern
## 92 Unspecified 3 Japan 0 0 No Northern
## 93 Unspecified 3 Japan 0 1 No Northern
## 94 Unspecified 3 Japan 0 1 No Northern
## 95 Unspecified 3 Japan 0 1 No Northern
## 96 Unspecified 3 Japan 0 1 Yes Northern
## 97 Unspecified 3 Japan 0 1 Yes Northern
## 98 Unspecified 3 Japan 0 2 Yes Northern
## 99 Unspecified 3 Japan 0 3 No Northern
## 100 Unspecified 3 Japan 0 3 Yes Northern
## 101 Unspecified 3 Japan 0 11 Yes Northern
## 102 Unspecified 3 Japan 0 12 No Northern
## 103 Unspecified 3 Other 0 0 No Northern
## 104 Unspecified 3 Other 0 0 No Northern
## 105 Unspecified 3 Other 0 0 No Southern
## 106 Unspecified 3 Other 0 1 No Northern
## 107 Unspecified 3 Other 0 2 Yes Northern
## 108 Unspecified 3 Other 0 3 No Northern
## 109 Unspecified 4 Australia 0 0 No Southern
## 110 Unspecified 4 Australia 0 0 No Southern
## 111 Unspecified 4 Croatia 0 2 Yes Northern
## 112 Unspecified 4 Croatia 0 2 Yes Northern
## 113 Unspecified 4 Japan 0 0 No Northern
## 114 Unspecified 4 Japan 0 0 No Northern
## 115 Unspecified 4 Japan 0 0 No Northern
## 116 Unspecified 4 Japan 0 0 No Northern
## 117 Unspecified 4 Japan 0 0 No Northern
## 118 Unspecified 4 Japan 0 0 No Northern
## 119 Unspecified 4 Japan 0 0 No Northern
## 120 Unspecified 4 Japan 0 0 No Northern
## 121 Unspecified 4 Japan 0 0 No Northern
## 122 Unspecified 4 Japan 0 0 No Northern
## 123 Unspecified 4 Japan 0 0 Yes Northern
## 124 Unspecified 4 Japan 0 0 Yes Northern
## 125 Unspecified 4 Japan 0 2 No Northern
## 126 Unspecified 4 Japan 0 3 No Northern
## 127 Unspecified 4 Japan 0 5 No Northern
## 128 Unspecified 4 Japan 0 12 Yes Northern
## 129 Unspecified 4 Other 0 0 No Northern
## 130 Unspecified 4 Other 0 0 No Northern
## 131 Unspecified 4 Other 0 0 No Southern
## 132 Unspecified 5 Australia 0 0 No Southern
## 133 Unspecified 5 Australia 0 0 No Southern
## 134 Unspecified 5 Australia 0 0 No Southern
## 135 Unspecified 5 Japan 0 0 No Northern
## 136 Unspecified 5 Japan 0 0 No Northern
## 137 Unspecified 5 Japan 0 0 No Northern
## 138 Unspecified 5 Japan 0 0 No Northern
## 139 Unspecified 5 Japan 0 0 No Northern
## 140 Unspecified 5 Japan 0 0 No Northern
## 141 Unspecified 5 Japan 0 0 No Northern
## 142 Unspecified 5 Japan 0 0 No Northern
## 143 Unspecified 5 Japan 0 0 No Northern
## 144 Unspecified 5 Japan 0 0 No Northern
## 145 Unspecified 5 Japan 0 0 Yes Northern
## 146 Unspecified 5 Japan 0 0 Yes Northern
## 147 Unspecified 5 Japan 0 0 Yes Northern
## 148 Unspecified 5 Japan 0 1 No Northern
## 149 Unspecified 5 Japan 0 1 Yes Northern
## 150 Unspecified 5 Japan 0 2 Yes Northern
## 151 Unspecified 5 Japan 0 6 No Northern
## 152 Unspecified 5 Other 0 0 No Southern
## 153 Unspecified 5 Other 0 0 No Southern
## 154 Unspecified 5 Other 0 0 No Southern
## 155 Unspecified 5 Other 0 0 Yes Northern
## 156 Unspecified 5 Other NA 0 No Northern
## 157 Unspecified 5 Other NA 0 No Northern
## 158 Unspecified 6 Australia 0 0 No Southern
## 159 Unspecified 6 Croatia 0 2 No Northern
## 160 Unspecified 6 Japan 0 0 No Northern
## 161 Unspecified 6 Japan 0 0 No Northern
## 162 Unspecified 6 Japan 0 0 No Northern
## 163 Unspecified 6 Japan 0 0 No Northern
## 164 Unspecified 6 Japan 0 0 No Northern
## 165 Unspecified 6 Japan 0 0 No Northern
## 166 Unspecified 6 Japan 0 0 No Northern
## 167 Unspecified 6 Japan 0 0 No Northern
## 168 Unspecified 6 Japan 0 0 No Northern
## 169 Unspecified 6 Japan 0 0 No Northern
## 170 Unspecified 6 Japan 0 0 No Northern
## 171 Unspecified 6 Japan 0 0 No Northern
## 172 Unspecified 6 Japan 0 0 No Northern
## 173 Unspecified 6 Japan 0 0 Yes Northern
## 174 Unspecified 6 Japan 0 1 No Northern
## 175 Unspecified 6 Japan 0 1 No Northern
## 176 Unspecified 6 Japan 0 2 No Northern
## 177 Unspecified 6 Japan 0 2 No Northern
## 178 Unspecified 6 Japan 0 2 Yes Northern
## 179 Unspecified 6 Japan 0 4 No Northern
## 180 Unspecified 6 Japan 0 12 No Northern
## 181 Unspecified 6 Japan 0 12 Yes Northern
## 182 Unspecified 6 Japan 0 12 Yes Northern
## 183 Unspecified 6 Other 0 0 No Northern
## 184 Unspecified 6 Other 0 0 No Northern
## 185 Unspecified 6 Other 0 0 No Northern
## 186 Unspecified 6 Other 0 0 Yes Southern
## 187 Unspecified 6 Other 0 1 No Northern
## 188 Unspecified 7 Japan 0 0 No Northern
## 189 Unspecified 7 Japan 0 0 No Northern
## 190 Unspecified 7 Japan 0 0 No Northern
## 191 Unspecified 7 Japan 0 0 No Northern
## 192 Unspecified 7 Japan 0 0 No Northern
## 193 Unspecified 7 Japan 0 0 No Northern
## 194 Unspecified 7 Japan 0 0 No Northern
## 195 Unspecified 7 Japan 0 0 Yes Northern
## 196 Unspecified 7 Japan 0 0 Yes Northern
## 197 Unspecified 7 Japan 0 12 No Northern
## 198 Unspecified 7 Japan 0 12 Yes Northern
## 199 Unspecified 7 Other 0 0 No Northern
## 200 Unspecified 7 Other 0 0 Yes Southern
## 201 Unspecified 7 Other 0 10 Yes Northern
## 202 Unspecified 8 Israel 0 4 No Northern
## 203 Unspecified 8 Japan 0 0 No Northern
## 204 Unspecified 8 Japan 0 0 No Northern
## 205 Unspecified 8 Japan 0 0 No Northern
## 206 Unspecified 8 Japan 0 0 No Northern
## 207 Unspecified 8 Japan 0 0 No Northern
## 208 Unspecified 8 Japan 0 0 No Northern
## 209 Unspecified 8 Japan 0 1 No Northern
## 210 Unspecified 8 Japan 0 2 No Northern
## 211 Unspecified 8 Japan 0 3 No Northern
## 212 Unspecified 8 Japan 0 12 No Northern
## 213 Unspecified 8 Japan 0 12 Yes Northern
## 214 Unspecified 8 Other 0 0 No Northern
## 215 Unspecified 8 Other 0 0 No Southern
## 216 Unspecified 8 Other 0 0 No Southern
## 217 Unspecified 8 Other 0 0 Yes Northern
## 218 Unspecified 8 Other 0 2 Yes Northern
## 219 Unspecified 8 Other 0 9 No Northern
## 220 Unspecified 8 Other 0 11 No Northern
## 221 Unspecified 8 Other 0 11 No Northern
## 222 Unspecified 8 Other NA 0 No Northern
## 223 Unspecified 8 USA 0 0 No Northern
## 224 Unspecified 9 Japan 0 0 No Northern
## 225 Unspecified 9 Japan 0 0 No Northern
## 226 Unspecified 9 Japan 0 0 No Northern
## 227 Unspecified 9 Japan 0 0 Yes Northern
## 228 Unspecified 9 Japan 0 0 Yes Northern
## 229 Unspecified 9 Japan 0 0 Yes Northern
## 230 Unspecified 9 Japan 0 1 No Northern
## 231 Unspecified 9 Japan 0 3 No Northern
## 232 Unspecified 9 Japan 0 12 Yes Northern
## 233 Unspecified 9 Other 0 0 No Northern
## 234 Unspecified 9 Other 0 0 No Northern
## 235 Unspecified 9 Other 0 0 No Northern
## 236 Unspecified 9 Other 0 0 No Northern
## 237 Unspecified 9 Other 0 0 Yes Northern
## 238 Unspecified 9 Other 0 1 Yes Northern
## 239 Unspecified 9 Other 0 2 Yes Northern
## 240 Unspecified 10 Japan 0 0 No Northern
## 241 Unspecified 10 Japan 0 0 No Northern
## 242 Unspecified 10 Japan 0 0 No Northern
## 243 Unspecified 10 Japan 0 0 No Northern
## 244 Unspecified 10 Japan 0 0 No Northern
## 245 Unspecified 10 Japan 0 0 Yes Northern
## 246 Unspecified 10 Japan 0 1 Yes Northern
## 247 Unspecified 10 Other 0 0 No Northern
## 248 Unspecified 10 Other 0 0 No Northern
## 249 Unspecified 10 Other 0 0 Yes Northern
## 250 Unspecified 10 Other 0 0 Yes Northern
## 251 Unspecified 10 Other 0 12 No Northern
## 252 Unspecified 10 Other 0 12 No Northern
## 253 Unspecified 10 Other 0 12 No Northern
## 254 Unspecified 11 Japan 0 0 No Northern
## 255 Unspecified 11 Japan 0 0 No Northern
## 256 Unspecified 11 Japan 0 0 No Northern
## 257 Unspecified 11 Japan 0 0 No Northern
## 258 Unspecified 11 Japan 0 0 No Northern
## 259 Unspecified 11 Japan 0 0 No Northern
## 260 Unspecified 11 Japan 0 0 No Northern
## 261 Unspecified 11 Japan 0 0 Yes Northern
## 262 Unspecified 11 Japan 0 5 No Northern
## 263 Unspecified 11 Japan 0 12 Yes Northern
## 264 Unspecified 11 Other 0 0 No Northern
## 265 Unspecified 11 Other 0 0 No Northern
## 266 Unspecified 11 Other 0 0 Yes Northern
## 267 Unspecified 11 Other 0 0 Yes Southern
## 268 Unspecified 11 Other 0 1 No Northern
## 269 Unspecified 11 Other 0 11 Yes Northern
## 270 Unspecified 11 Other NA 0 No Northern
## 271 Unspecified 11 USA 0 0 Yes Northern
## 272 Unspecified 12 Japan 0 0 No Northern
## 273 Unspecified 12 Japan 0 0 No Northern
## 274 Unspecified 12 Japan 0 0 No Northern
## 275 Unspecified 12 Japan 0 0 No Northern
## 276 Unspecified 12 Japan 0 0 No Northern
## 277 Unspecified 12 Japan 0 0 No Northern
## 278 Unspecified 12 Japan 0 0 No Northern
## 279 Unspecified 12 Japan 0 0 No Northern
## 280 Unspecified 12 Japan 0 0 No Northern
## 281 Unspecified 12 Japan 0 0 Yes Northern
## 282 Unspecified 12 Japan 0 0 Yes Northern
## 283 Unspecified 12 Other 0 0 No Northern
## 284 Unspecified 12 Other 0 0 No Northern
## 285 Unspecified 12 Other 0 0 Yes Northern
## 286 Unspecified 12 Other 0 4 Yes Northern
## 287 Unspecified 12 Other 0 12 No Northern
## 288 Unspecified 13 Japan 0 0 No Northern
## 289 Unspecified 13 Japan 0 0 No Northern
## 290 Unspecified 13 Japan 0 0 No Northern
## 291 Unspecified 13 Japan 0 0 No Northern
## 292 Unspecified 13 Japan 0 0 Yes Northern
## 293 Unspecified 13 Japan 0 0 Yes Northern
## 294 Unspecified 13 Japan 0 1 No Northern
## 295 Unspecified 13 Other 0 0 No Northern
## 296 Unspecified 13 Other 0 0 No Northern
## 297 Unspecified 13 Other 0 0 No Southern
## 298 Unspecified 13 Other 0 0 Yes Northern
## 299 Unspecified 13 Other 0 1 Yes Northern
## 300 Unspecified 13 Other 0 12 No Northern
## 301 Unspecified 13 Other 0 12 Yes Northern
## 302 Unspecified 13 Other NA 0 No Northern
## 303 Unspecified 14 Japan 0 0 No Northern
## 304 Unspecified 14 Japan 0 0 No Northern
## 305 Unspecified 14 Japan 0 0 No Northern
## 306 Unspecified 14 Japan 0 0 Yes Northern
## 307 Unspecified 14 Other 0 0 No Northern
## 308 Unspecified 14 Other 0 0 No Northern
## 309 Unspecified 14 Other 0 0 No Northern
## 310 Unspecified 14 Other 0 1 No Northern
## 311 Unspecified 14 Other 0 3 No Northern
## 312 Unspecified 14 Other 0 10 Yes Northern
## 313 Unspecified 14 Other 0 10 Yes Northern
## 314 Unspecified 14 Other 0 10 Yes Northern
## 315 Unspecified 14 Other 0 12 No Northern
## 316 Unspecified 14 Other 0 12 Yes Northern
## 317 Unspecified 14 USA 0 0 Yes Northern
## 318 Unspecified 15 Japan 0 0 No Northern
## 319 Unspecified 15 Japan 0 0 No Northern
## 320 Unspecified 15 Japan 0 0 No Northern
## 321 Unspecified 15 Japan 0 0 No Northern
## 322 Unspecified 15 Japan 0 0 Yes Northern
## 323 Unspecified 15 Japan 0 12 Yes Northern
## 324 Unspecified 15 Other 0 0 No Northern
## 325 Unspecified 15 Other 0 0 No Northern
## 326 Unspecified 15 Other 0 0 No Northern
## 327 Unspecified 15 Other 0 0 No Northern
## 328 Unspecified 15 Other 0 0 No Northern
## 329 Unspecified 15 Other 0 0 No Northern
## 330 Unspecified 15 Other 0 0 Yes Northern
## 331 Unspecified 15 Other 0 0 Yes Northern
## 332 Unspecified 15 Other 0 0 Yes Northern
## 333 Unspecified 15 Other 0 0 Yes Southern
## 334 Unspecified 15 Other 0 2 No Northern
## 335 Unspecified 15 Other 0 11 Yes Northern
## 336 Unspecified 16 Japan 0 0 No Northern
## 337 Unspecified 16 Japan 0 0 No Northern
## 338 Unspecified 16 Japan 0 0 No Northern
## 339 Unspecified 16 Japan 0 0 No Northern
## 340 Unspecified 16 Japan 0 0 Yes Northern
## 341 Unspecified 16 Japan 0 0 Yes Northern
## 342 Unspecified 16 Japan 0 0 Yes Northern
## 343 Unspecified 16 Japan 0 12 No Northern
## 344 Unspecified 16 Other 0 0 No Northern
## 345 Unspecified 16 Other 0 0 No Northern
## 346 Unspecified 16 Other 0 0 No Northern
## 347 Unspecified 16 Other 0 0 No Northern
## 348 Unspecified 16 Other 0 0 No Southern
## 349 Unspecified 16 Other 0 0 Yes Northern
## 350 Unspecified 16 Other 0 1 Yes Northern
## 351 Unspecified 16 Other 0 4 Yes Northern
## 352 Unspecified 16 Other 0 5 No Southern
## 353 Unspecified 17 Israel 1 4 No Northern
## 354 Unspecified 17 Japan 0 0 No Northern
## 355 Unspecified 17 Japan 0 0 Yes Northern
## 356 Unspecified 17 Other 0 0 No Southern
## 357 Unspecified 17 Other 0 11 Yes Northern
## 358 Unspecified 17 USA 0 0 No Northern
## 359 Unspecified 17 USA 0 0 Yes Northern
## 360 Unspecified 18 Japan 0 0 No Northern
## 361 Unspecified 18 Japan 0 0 No Northern
## 362 Unspecified 18 Japan 0 0 No Northern
## 363 Unspecified 18 Japan 0 0 No Northern
## 364 Unspecified 18 Japan 0 0 Yes Northern
## 365 Unspecified 18 Japan 0 12 No Northern
## 366 Unspecified 18 Other 0 0 No Northern
## 367 Unspecified 18 Other 0 0 No Southern
## 368 Unspecified 18 Other 0 0 No Southern
## 369 Unspecified 18 Other 0 12 Yes Northern
## 370 Unspecified 18 Other NA 4 No Southern
## 371 Unspecified 19 Japan 0 0 No Northern
## 372 Unspecified 19 Japan 0 0 No Northern
## 373 Unspecified 19 Japan 0 0 No Northern
## 374 Unspecified 19 Japan 0 0 No Northern
## 375 Unspecified 19 Japan 0 0 No Northern
## 376 Unspecified 19 Japan 0 0 No Northern
## 377 Unspecified 19 Japan 0 0 No Northern
## 378 Unspecified 19 Japan 0 0 No Northern
## 379 Unspecified 19 Japan 0 0 No Northern
## 380 Unspecified 19 Japan 0 0 Yes Northern
## 381 Unspecified 19 Japan 0 0 Yes Northern
## 382 Unspecified 19 Other 0 0 No Northern
## 383 Unspecified 19 Other 0 0 No Northern
## 384 Unspecified 19 Other 0 0 Yes Northern
## 385 Unspecified 19 Other 0 0 Yes Northern
## 386 Unspecified 19 Other 0 0 Yes Northern
## 387 Unspecified 19 Other 0 1 Yes Northern
## 388 Unspecified 19 Other 0 2 No Northern
## 389 Unspecified 19 Other 0 5 Yes Northern
## 390 Unspecified 19 USA 0 12 No Northern
## 391 Unspecified 20 Japan 0 0 No Northern
## 392 Unspecified 20 Japan 0 0 No Northern
## 393 Unspecified 20 Japan 0 0 No Northern
## 394 Unspecified 20 Japan 0 0 No Northern
## 395 Unspecified 20 Japan 0 0 No Northern
## 396 Unspecified 20 Japan 0 0 Yes Northern
## 397 Unspecified 20 Japan 0 3 No Northern
## 398 Unspecified 20 Other 0 0 No Northern
## 399 Unspecified 20 Other 0 0 No Northern
## 400 Unspecified 20 Other 0 0 No Northern
## 401 Unspecified 20 Other 0 0 No Northern
## 402 Unspecified 20 Other 0 0 Yes Northern
## 403 Unspecified 20 Other 0 0 Yes Southern
## 404 Unspecified 20 Other 0 1 Yes Northern
## 405 Unspecified 20 Other 0 10 Yes Northern
## 406 Unspecified 21 Japan 0 0 No Northern
## 407 Unspecified 21 Japan 0 0 No Northern
## 408 Unspecified 21 Japan 0 0 No Northern
## 409 Unspecified 21 Other 0 0 No Northern
## 410 Unspecified 21 Other 0 0 No Southern
## 411 Unspecified 21 Other 0 12 No Northern
## 412 Unspecified 22 Japan 0 0 No Northern
## 413 Unspecified 22 Japan 0 0 Yes Northern
## 414 Unspecified 22 Other 0 0 No Northern
## 415 Unspecified 22 Other 0 0 No Northern
## 416 Unspecified 22 Other 0 1 Yes Northern
## 417 Unspecified 22 Other 0 10 Yes Northern
## 418 Unspecified 22 Other 0 12 Yes Northern
## 419 Unspecified 22 Other 0 12 Yes Southern
## 420 Unspecified 22 USA 0 0 Yes Northern
## 421 Unspecified 23 Japan 0 0 No Northern
## 422 Unspecified 23 Japan 0 12 Yes Northern
## 423 Unspecified 23 Other 0 0 No Northern
## 424 Unspecified 23 Other 0 0 No Northern
## 425 Unspecified 23 Other 0 2 Yes Northern
## 426 Unspecified 23 USA 0 0 Yes Northern
## 427 Unspecified 24 Other 0 0 Yes Northern
## 428 Unspecified 25 Japan 0 0 Yes Northern
## 429 Unspecified 25 Other 0 0 No Northern
## 430 Unspecified 25 Other 0 0 No Northern
## 431 Unspecified 25 Other 0 0 No Northern
## 432 Unspecified 25 Other 0 1 Yes Northern
## 433 Unspecified 25 Other 0 10 Yes Northern
## 434 Unspecified 25 Other 0 11 Yes Northern
## 435 Unspecified 25 USA 0 0 Yes Northern
## 436 Unspecified 26 Japan 0 0 No Northern
## 437 Unspecified 26 Japan 0 0 No Northern
## 438 Unspecified 26 Japan 0 0 No Northern
## 439 Unspecified 26 Japan 0 0 No Northern
## 440 Unspecified 26 Japan 0 0 No Northern
## 441 Unspecified 26 Other 0 1 Yes Northern
## 442 Unspecified 26 USA 0 0 Yes Northern
## 443 Unspecified 27 Japan 0 0 No Northern
## 444 Unspecified 27 Japan 0 0 No Northern
## 445 Unspecified 27 Japan 0 0 No Northern
## 446 Unspecified 27 Japan 0 8 No Northern
## 447 Unspecified 27 Other 0 0 No Northern
## 448 Unspecified 27 Other 0 0 No Southern
## 449 Unspecified 27 Other 0 0 Yes Northern
## 450 Unspecified 27 Other 0 1 Yes Northern
## 451 Unspecified 27 USA 0 11 No Northern
## 452 Unspecified 28 Israel 1 5 No Northern
## 453 Unspecified 28 Japan 0 0 No Northern
## 454 Unspecified 28 Japan 0 0 No Northern
## 455 Unspecified 28 Japan 0 0 No Northern
## 456 Unspecified 28 Japan 0 0 Yes Northern
## 457 Unspecified 28 Other 0 0 No Northern
## 458 Unspecified 28 Other 0 2 No Northern
## 459 Unspecified 28 Other NA 0 No Northern
## 460 Unspecified 28 USA 0 0 Yes Northern
## 461 Unspecified 29 Japan 0 0 No Northern
## 462 Unspecified 29 Japan 0 0 No Northern
## 463 Unspecified 29 Japan 0 0 No Northern
## 464 Unspecified 29 Japan 0 0 No Northern
## 465 Unspecified 29 Japan 0 0 No Northern
## 466 Unspecified 29 Japan 0 3 No Northern
## 467 Unspecified 29 Other 0 6 Yes Southern
## 468 Unspecified 30 Japan 0 0 No Northern
## 469 Unspecified 30 Japan 0 12 No Northern
## 470 Unspecified 30 Other 0 0 No Northern
## 471 Unspecified 30 Other 0 0 No Northern
## 472 Unspecified 30 Other 0 0 No Northern
## 473 Unspecified 30 Other 0 0 No Northern
## 474 Unspecified 30 Other 0 1 No Northern
## 475 Unspecified 30 Other 0 1 Yes Northern
## 476 Unspecified 30 Other 0 11 No Northern
## 477 Unspecified 30 USA 0 0 Yes Northern
## 478 Unspecified 31 Japan 0 0 Yes Northern
## 479 Unspecified 32 Japan 0 0 No Northern
## 480 Unspecified 32 Japan 0 0 No Northern
## 481 Unspecified 32 Japan 0 0 No Northern
## 482 Unspecified 32 Japan 0 0 Yes Northern
## 483 Unspecified 32 Japan 0 12 Yes Northern
## 484 Unspecified 32 Other 0 0 No Northern
## 485 Unspecified 32 Other 0 0 No Northern
## 486 Unspecified 33 Israel 3 4 No Northern
## 487 Unspecified 33 Japan 0 0 No Northern
## 488 Unspecified 33 Japan 0 0 No Northern
## 489 Unspecified 33 Japan 0 0 Yes Northern
## 490 Unspecified 33 Japan 0 1 Yes Northern
## 491 Unspecified 33 Other 0 0 No Northern
## 492 Unspecified 33 Other 0 0 No Southern
## 493 Unspecified 33 Other 0 0 Yes Northern
## 494 Unspecified 33 Other 0 0 Yes Southern
## 495 Unspecified 34 Japan 0 0 No Northern
## 496 Unspecified 34 Japan 0 0 No Northern
## 497 Unspecified 34 Japan 0 0 No Northern
## 498 Unspecified 34 Other 0 0 No Northern
## 499 Unspecified 34 Other NA 0 Yes Northern
## 500 Unspecified 35 Japan 0 0 No Northern
## 501 Unspecified 35 Japan 0 0 No Northern
## 502 Unspecified 35 Other 0 0 No Northern
## 503 Unspecified 35 Other 0 0 No Northern
## 504 Unspecified 35 Other 0 0 No Northern
## 505 Unspecified 35 Other 0 0 No Northern
## 506 Unspecified 35 Other 0 0 No Northern
## 507 Unspecified 35 Other 0 0 No Northern
## 508 Unspecified 35 Other 0 0 No Northern
## 509 Unspecified 35 Other 0 0 No Northern
## 510 Unspecified 35 Other 0 3 Yes Northern
## 511 Unspecified 35 Other NA 0 No Northern
## 512 Unspecified 35 Other NA 0 No Northern
## 513 Unspecified 36 Japan 0 0 No Northern
## 514 Unspecified 36 Other 0 5 No Southern
## 515 Unspecified 36 Other NA 0 No Northern
## 516 Unspecified 36 USA 0 2 No Northern
## 517 Unspecified 37 Japan 0 0 Yes Northern
## 518 Unspecified 37 Japan 0 7 No Northern
## 519 Unspecified 37 Other 0 12 Yes Northern
## 520 Unspecified 37 USA 0 0 No Northern
## 521 Unspecified 38 Japan 0 0 No Northern
## 522 Unspecified 38 Other 0 1 Yes Southern
## 523 Unspecified 38 Other NA 6 No Northern
## 524 Unspecified 39 Japan 0 0 No Northern
## 525 Unspecified 39 Japan 0 0 No Northern
## 526 Unspecified 39 Japan 0 0 No Northern
## 527 Unspecified 39 Japan 0 12 Yes Northern
## 528 Unspecified 39 Japan NA 1 Yes Northern
## 529 Unspecified 39 Other 0 0 No Northern
## 530 Unspecified 39 Other 0 0 Yes Southern
## 531 Unspecified 40 Japan 0 0 No Northern
## 532 Unspecified 40 Japan 0 3 No Northern
## 533 Unspecified 40 Other 0 0 No Northern
## 534 Unspecified 40 Other 0 0 No Northern
## 535 Unspecified 40 Other 0 0 No Northern
## 536 Unspecified 40 Other 0 0 No Northern
## 537 Unspecified 40 Other 0 0 No Northern
## 538 Unspecified 40 Other 0 0 Yes Northern
## 539 Unspecified 40 Other 0 0 Yes Northern
## 540 Unspecified 40 Other 0 0 Yes Northern
## 541 Unspecified 40 Other 0 0 Yes Northern
## 542 Unspecified 41 Japan 0 0 No Northern
## 543 Unspecified 41 Japan 0 5 No Northern
## 544 Unspecified 41 Other 0 0 No Northern
## 545 Unspecified 41 UK 0 7 Yes Northern
## 546 Unspecified 41 USA 0 0 No Northern
## 547 Unspecified 42 Japan 0 12 No Northern
## 548 Unspecified 42 Other 0 6 No Northern
## 549 Unspecified 42 USA 0 0 Yes Northern
## 550 Unspecified 43 Japan 0 0 Yes Northern
## 551 Unspecified 44 Other 0 7 No Northern
## 552 Unspecified 46 Japan 0 12 No Northern
## 553 Unspecified 47 Japan 0 0 No Northern
## 554 Unspecified 47 Japan 0 0 No Northern
## 555 Unspecified 47 Other 0 0 No Northern
## 556 Unspecified 47 Other 0 0 No Northern
## 557 Unspecified 47 Other 0 0 No Northern
## 558 Unspecified 47 USA 0 0 No Northern
## 559 Unspecified 48 Japan 0 0 No Northern
## 560 Unspecified 48 Japan NA 3 No Northern
## 561 Unspecified 48 Other 0 0 No Northern
## 562 Unspecified 48 Other 0 2 Yes Northern
## 563 Unspecified 49 Japan 0 0 Yes Northern
## 564 Unspecified 49 Other 0 0 No Northern
## 565 Unspecified 50 Japan 0 0 No Northern
## 566 Unspecified 50 Japan 1 1 Yes Northern
## 567 Unspecified 50 Other 0 0 No Northern
## 568 Unspecified 50 Other 0 0 No Northern
## 569 Unspecified 50 Other 0 0 Yes Northern
## 570 Unspecified 50 Other 0 2 No Northern
## 571 Unspecified 50 USA 0 0 Yes Northern
## 572 Unspecified 50 USA 0 0 Yes Northern
## 573 Unspecified 51 Japan 0 0 No Northern
## 574 Unspecified 51 Japan 0 0 No Northern
## 575 Unspecified 51 Other NA 12 No Northern
## 576 Unspecified 52 Japan 0 0 Yes Northern
## 577 Unspecified 52 Japan 0 2 No Northern
## 578 Unspecified 53 Japan 0 0 No Northern
## 579 Unspecified 53 Japan 0 0 No Northern
## 580 Unspecified 53 Japan 0 0 Yes Northern
## 581 Unspecified 53 Other 0 3 No Northern
## 582 Unspecified 54 Other 0 0 Yes Northern
## 583 Unspecified 54 USA 0 0 No Northern
## 584 Unspecified 55 Japan 0 0 No Northern
## 585 Unspecified 55 Other 0 0 Yes Northern
## 586 Unspecified 55 Other 0 6 No Northern
## 587 Unspecified 55 USA 0 0 Yes Northern
## 588 Unspecified 56 Japan 0 0 Yes Northern
## 589 Unspecified 56 Japan 0 0 Yes Northern
## 590 Unspecified 56 USA 0 0 No Northern
## 591 Unspecified 57 Israel 0 0 No Northern
## 592 Unspecified 57 Japan 0 0 No Northern
## 593 Unspecified 57 Japan 0 0 No Northern
## 594 Unspecified 57 Japan 0 0 No Northern
## 595 Unspecified 57 Japan 0 0 Yes Northern
## 596 Unspecified 57 Other 0 0 Yes Northern
## 597 Unspecified 58 Other 0 0 No Northern
## 598 Unspecified 60 Japan 0 0 Yes Northern
## 599 Unspecified 60 Other 0 0 No Northern
## 600 Unspecified 60 Other 0 0 No Northern
## 601 Unspecified 60 Other 0 0 No Northern
## 602 Unspecified 61 Japan 0 12 Yes Northern
## 603 Unspecified 61 Other 0 0 No Northern
## 604 Unspecified 61 Other 0 0 No Northern
## 605 Unspecified 61 Other 0 0 Yes Northern
## 606 Unspecified 62 Other 0 0 Yes Northern
## 607 Unspecified 63 Japan 0 12 Yes Northern
## 608 Unspecified 63 Japan 1 1 Yes Northern
## 609 Unspecified 63 Other 0 0 Yes Northern
## 610 Unspecified 64 Japan 0 0 No Northern
## 611 Unspecified 64 Other NA 0 No Northern
## 612 Unspecified 64 USA 0 5 No Northern
## 613 Unspecified 65 Japan 0 0 No Northern
## 614 Unspecified 65 Other 0 5 No Southern
## 615 Unspecified 65 USA 0 9 No Northern
## 616 Unspecified 66 France 0 0 No Northern
## 617 Unspecified 66 Japan 0 12 No Northern
## 618 Unspecified 66 Other 0 0 No Northern
## 619 Unspecified 66 Other 0 0 No Northern
## 620 Unspecified 66 Other 0 3 No Southern
## 621 Unspecified 67 Japan 0 0 No Northern
## 622 Unspecified 67 Other 0 1 No Northern
## 623 Unspecified 68 Japan 0 0 No Northern
## 624 Unspecified 68 Japan 0 0 No Northern
## 625 Unspecified 68 Japan 1 1 Yes Northern
## 626 Unspecified 69 Other 0 0 No Northern
## 627 Unspecified 69 Other 0 0 No Southern
## 628 Unspecified 69 Other 0 4 Yes Northern
## 629 Unspecified 69 Other 0 12 Yes Northern
## 630 Unspecified 70 Japan 0 0 Yes Northern
## 631 Unspecified 70 Other 0 0 No Northern
## 632 Unspecified 70 Other 0 0 Yes Northern
## 633 Unspecified 70 USA 0 0 Yes Northern
## 634 Unspecified 71 Japan 0 5 No Northern
## 635 Unspecified 71 Other 0 0 No Southern
## 636 Unspecified 71 Other 0 0 No Southern
## 637 Unspecified 71 Other 0 1 No Northern
## 638 Unspecified 72 Japan 0 5 No Northern
## 639 Unspecified 74 Other 0 0 No Northern
## 640 Unspecified 74 Other 0 0 No Northern
## 641 Unspecified 74 Other 0 0 Yes Northern
## 642 Unspecified 75 USA 0 0 No Northern
## 643 Unspecified 76 Japan 0 0 No Northern
## 644 Unspecified 76 Other NA 5 No Southern
## 645 Unspecified 77 Japan 0 0 No Northern
## 646 Unspecified 77 Japan 0 1 Yes Northern
## 647 Unspecified 79 France 0 0 No Northern
## 648 Unspecified 79 Other 0 0 No Northern
## 649 Unspecified 80 Other 0 11 Yes Northern
## 650 Unspecified 80 Other NA 0 Yes Northern
## 651 Unspecified 80 USA 0 12 No Northern
## 652 Unspecified 81 Other 0 2 No Northern
## 653 Unspecified 81 USA 0 0 No Northern
## 654 Unspecified 82 Japan 0 0 No Northern
## 655 Unspecified 82 USA 0 5 No Northern
## 656 Unspecified 85 USA 0 0 Yes Northern
## 657 Unspecified 85 USA 0 3 No Northern
## 658 Unspecified 91 Ca da 0 0 No Northern
## 659 Unspecified 91 Japan 0 12 No Northern
## 660 Unspecified 93 Japan 0 0 No Northern
## 661 Unspecified 93 Other 0 0 No Northern
## 662 Unspecified 95 Japan 0 5 No Northern
## 663 Unspecified 95 Other 0 0 Yes Northern
## 664 Unspecified 97 Other 0 5 No Northern
## 665 Unspecified 97 Other 0 5 Yes Northern
## 666 Unspecified 100 Other 0 0 No Northern
## 667 Unspecified 100 Other 0 0 No Northern
## 668 Unspecified 103 Israel 0 5 No Northern
## 669 Unspecified 103 Japan 0 0 No Northern
## 670 Unspecified 103 Other 0 0 No Northern
## 671 Unspecified 103 Other 0 0 No Northern
## 672 Unspecified 103 Other 0 4 No Northern
## 673 Unspecified 104 USA 0 0 No Northern
## 674 Unspecified 106 Other 0 0 Yes Northern
## 675 Unspecified 106 USA 0 0 No Northern
## 676 Unspecified 107 Japan 0 0 No Northern
## 677 Unspecified 107 Japan 0 12 No Northern
## 678 Unspecified 108 Other NA 4 No Northern
## 679 Unspecified 110 Other 0 0 No Northern
## 680 Unspecified 112 Other NA 6 Yes Southern
## 681 Unspecified 114 Japan 0 4 No Northern
## 682 Unspecified 115 New Zealand 0 0 No Southern
## 683 Unspecified 116 Other 0 11 Yes Northern
## 684 Unspecified 117 Other 0 0 No Northern
## 685 Unspecified 119 Other 4 10 Yes Northern
## 686 Unspecified 119 Other 0 0 No Northern
## 687 Unspecified 120 Other 0 0 No Northern
## 688 Unspecified 121 Other NA 0 No Northern
## 689 Unspecified 124 Japan 0 0 No Northern
## 690 Unspecified 125 Japan 0 6 No Northern
## 691 Unspecified 126 USA 0 0 Yes Northern
## 692 Unspecified 130 Other NA 9 No Northern
## 693 Unspecified 131 Other 0 0 Yes Northern
## 694 Unspecified 139 Japan 0 0 Yes Northern
## 695 Unspecified 140 USA 0 1 No Northern
## 696 Unspecified 150 Other 0 0 No Northern
## 697 Unspecified 150 Other 0 7 No Northern
## 698 Unspecified 152 Other 0 0 Yes Northern
## 699 Unspecified 154 Japan 0 5 No Northern
## 700 Unspecified 157 Japan 0 0 No Northern
## 701 Unspecified 162 Japan 0 4 Yes Northern
## 702 Unspecified 165 USA 0 0 No Northern
## 703 Unspecified 183 Other NA 9 Yes Northern
## 704 Unspecified 184 Japan 0 0 Yes Northern
## 705 Unspecified 184 USA 0 0 Yes Northern
## 706 Unspecified 186 Other 0 0 No Northern
## 707 Unspecified 187 USA 0 0 No Northern
## 708 Unspecified 191 USA 0 11 No Northern
## 709 Unspecified 200 Other 0 0 Yes Northern
## 710 Unspecified 200 Other 0 0 Yes Northern
## 711 Unspecified 200 Other 0 0 Yes Southern
## 712 Unspecified 200 USA 0 0 No Northern
## 713 Unspecified 203 Japan 0 0 Yes Northern
## 714 Unspecified 245 USA 0 3 No Northern
## 715 Unspecified 253 Other NA 0 No Northern
## 716 Unspecified 268 Japan 0 4 No Northern
## 717 Unspecified 276 Other 0 0 Yes Northern
## 718 Unspecified 299 Other 0 12 Yes Northern
## 719 Unspecified 300 Other 0 0 No Northern
## 720 Unspecified 300 Other 0 0 Yes Northern
## 721 Unspecified 300 USA 0 0 Yes Northern
## 722 Unspecified 316 Other 0 0 Yes Northern
## 723 Unspecified 325 Japan 0 4 Yes Northern
## 724 Unspecified 350 Other 0 0 No Northern
## 725 Unspecified 357 Other 0 0 Yes Northern
## 726 Unspecified 369 Other 0 0 Yes Northern
## 727 Unspecified 400 Other 0 0 No Northern
## 728 Unspecified 485 Other 0 0 No Northern
## 729 Unspecified 524 Other 1 5 Yes Northern
## 730 Unspecified 650 Other 0 1 Yes Northern
## 731 Unspecified 1340 Other NA 4 No Northern
## 732 Unspecified 1450 USA 0 0 No Northern
## 733 Unspecified 1806 Japan NA 9 No Northern
## 734 Unspecified 2000 Other 0 0 No Northern
## 735 Unspecified 2700 USA 0 5 No Northern
## 736 Unspecified 6390 Other 0 3 No Southern
## 737 Unspecified 7150 USA 0 0 Yes Northern
## 738 Unspecified 32150 USA 0 0 No Northern
## 739 Unspecified NA Japan 0 0 No Northern
## 740 Unspecified NA Japan 0 0 No Northern
## 741 Unspecified NA Japan 0 0 No Northern
## 742 Unspecified NA Japan 0 12 Yes Northern
## 743 Yes 2 Denmark 0 0 No Northern
## 744 Yes 2 Other 0 8 No Southern
## 745 Yes 3 Other 0 9 No Northern
## 746 Yes 4 Denmark 0 0 No Northern
## 747 Yes 4 Other 0 1 No Northern
## 748 Yes 4 Other 0 1 No Southern
## 749 Yes 6 Other 0 0 No Northern
## 750 Yes 7 USA 0 2 Yes Northern
## 751 Yes 8 Other 0 7 No Northern
## 752 Yes 8 USA 0 7 No Northern
## 753 Yes 8 USA 2 1 No Northern
## 754 Yes 9 Other 0 4 No Northern
## 755 Yes 9 USA 0 5 No Northern
## 756 Yes 10 Denmark 0 0 No Northern
## 757 Yes 10 USA 0 11 No Northern
## 758 Yes 12 Denmark 0 0 No Northern
## 759 Yes 12 Other 0 0 No Northern
## 760 Yes 12 Other 0 0 No Northern
## 761 Yes 13 Other 0 12 No Northern
## 762 Yes 13 Other 0 1 No Northern
## 763 Yes 13 Other 0 2 No Northern
## 764 Yes 13 Other 0 4 Yes Northern
## 765 Yes 13 Other NA 4 Yes Southern
## 766 Yes 14 Scotland 0 0 No Northern
## 767 Yes 15 Other 0 10 No Northern
## 768 Yes 15 Other 0 10 No Northern
## 769 Yes 16 Denmark 0 0 No Northern
## 770 Yes 17 Italy 0 7 No Northern
## 771 Yes 17 USA NA 4 No Northern
## 772 Yes 19 Other 0 8 No Northern
## 773 Yes 20 USA 0 5 No Northern
## 774 Yes 21 Denmark 0 0 No Northern
## 775 Yes 21 Other 0 1 No Northern
## 776 Yes 21 Other 0 6 No Northern
## 777 Yes 21 Other 0 12 Yes Northern
## 778 Yes 22 USA 0 1 Yes Northern
## 779 Yes 22 USA 0 7 No Northern
## 780 Yes 22 USA 0 10 Yes Northern
## 781 Yes 23 USA 0 5 No Northern
## 782 Yes 24 Iraq 0 6 No Northern
## 783 Yes 24 Other 0 3 No Southern
## 784 Yes 25 Other 0 8 No Northern
## 785 Yes 26 Denmark 0 0 No Northern
## 786 Yes 26 Denmark 0 0 No Northern
## 787 Yes 26 Japan NA 10 Yes Northern
## 788 Yes 26 Other 0 2 Yes Northern
## 789 Yes 26 Other 0 0 No Southern
## 790 Yes 26 USA 0 7 No Northern
## 791 Yes 28 USA 0 5 No Northern
## 792 Yes 29 Other 0 1 No Northern
## 793 Yes 29 Other 0 5 No Northern
## 794 Yes 29 Other 0 6 No Northern
## 795 Yes 29 Other 0 6 Yes Northern
## 796 Yes 29 USA 0 3 Yes Northern
## 797 Yes 30 Other 0 0 No Northern
## 798 Yes 31 Japan 0 4 No Northern
## 799 Yes 31 Other 0 2 Yes Northern
## 800 Yes 31 Other 0 2 No Northern
## 801 Yes 31 Other 0 6 No Northern
## 802 Yes 32 Other 0 10 Yes Southern
## 803 Yes 32 USA 0 10 Yes Northern
## 804 Yes 33 Other 0 11 Yes Northern
## 805 Yes 34 Other 0 11 No Southern
## 806 Yes 35 Denmark 0 0 No Northern
## 807 Yes 35 Other 0 12 Yes Northern
## 808 Yes 35 USA 0 3 No Northern
## 809 Yes 37 Other NA 4 No Northern
## 810 Yes 38 USA 0 1 No Northern
## 811 Yes 40 Other 0 0 No Northern
## 812 Yes 40 Other 0 5 No Northern
## 813 Yes 40 USA 0 6 No Northern
## 814 Yes 41 Other 0 7 No Northern
## 815 Yes 41 Other 0 8 No Southern
## 816 Yes 42 Other 0 1 No Northern
## 817 Yes 43 Other 0 12 Yes Northern
## 818 Yes 44 Other 0 12 No Northern
## 819 Yes 45 USA 0 11 No Northern
## 820 Yes 45 USA NA 6 No Northern
## 821 Yes 46 Other 0 10 No Northern
## 822 Yes 47 Other 0 8 No Northern
## 823 Yes 47 Other 0 11 No Southern
## 824 Yes 48 Other 0 7 Yes Northern
## 825 Yes 48 Spain 0 11 No Northern
## 826 Yes 50 Denmark 0 0 No Northern
## 827 Yes 50 Other 0 0 No Northern
## 828 Yes 51 Other 0 11 No Northern
## 829 Yes 51 Other 0 11 No Northern
## 830 Yes 52 Other 0 12 No Northern
## 831 Yes 53 USA 0 2 No Northern
## 832 Yes 55 USA 0 5 No Northern
## 833 Yes 57 USA 0 4 No Northern
## 834 Yes 58 Other 0 1 Yes Northern
## 835 Yes 58 Other 0 2 No Northern
## 836 Yes 60 Other 0 8 No Northern
## 837 Yes 60 Other 0 10 Yes Southern
## 838 Yes 60 Other 0 11 Yes Northern
## 839 Yes 60 Other 0 12 No Northern
## 840 Yes 60 USA 0 1 No Northern
## 841 Yes 62 Denmark 0 0 No Northern
## 842 Yes 63 Other 0 3 Yes Northern
## 843 Yes 66 Other 0 11 No Southern
## 844 Yes 69 USA 0 2 No Northern
## 845 Yes 70 Other 0 0 No Northern
## 846 Yes 70 Other 0 1 Yes Northern
## 847 Yes 70 Other 0 2 Yes Northern
## 848 Yes 73 Other 0 10 No Southern
## 849 Yes 75 USA 0 0 No Northern
## 850 Yes 77 Other 1 12 Yes Northern
## 851 Yes 77 USA 0 1 No Northern
## 852 Yes 79 Other 0 3 Yes Northern
## 853 Yes 80 USA 0 6 No Northern
## 854 Yes 81 Other NA 9 No Southern
## 855 Yes 83 Other NA 11 No Northern
## 856 Yes 84 USA 0 10 No Northern
## 857 Yes 86 USA 0 8 Yes Northern
## 858 Yes 87 Other 0 7 No Northern
## 859 Yes 97 Other 0 9 No Southern
## 860 Yes 99 Japan 0 11 No Northern
## 861 Yes 101 Other 0 2 Yes Northern
## 862 Yes 102 Japan 0 3 Yes Northern
## 863 Yes 103 USA 0 2 No Northern
## 864 Yes 104 Other 4 11 Yes Northern
## 865 Yes 105 Japan 0 12 Yes Northern
## 866 Yes 108 Japan 0 9 Yes Northern
## 867 Yes 115 Other 0 6 No Southern
## 868 Yes 116 USA 0 11 No Northern
## 869 Yes 120 Other 0 9 No Northern
## 870 Yes 125 USA 0 3 Yes Northern
## 871 Yes 126 USA 2 6 No Northern
## 872 Yes 129 Other 0 7 No Northern
## 873 Yes 131 Other 0 11 No Northern
## 874 Yes 134 Norway 0 0 No Northern
## 875 Yes 134 Other NA 8 No Northern
## 876 Yes 137 USA 0 9 No Northern
## 877 Yes 139 Other 0 10 No Northern
## 878 Yes 141 USA NA 7 No Northern
## 879 Yes 145 USA 0 12 Yes Northern
## 880 Yes 146 USA 0 11 No Northern
## 881 Yes 150 USA 3 3 No Northern
## 882 Yes 156 USA 0 0 No Northern
## 883 Yes 159 Other 0 12 No Northern
## 884 Yes 162 Other 0 8 No Northern
## 885 Yes 163 Other 0 1 Yes Northern
## 886 Yes 166 Other 0 3 No Southern
## 887 Yes 171 USA NA 0 No Northern
## 888 Yes 175 Other 0 3 No Northern
## 889 Yes 176 Other 0 12 No Northern
## 890 Yes 182 Other 0 1 No Northern
## 891 Yes 184 USA 0 11 No Northern
## 892 Yes 188 USA NA 12 No Northern
## 893 Yes 195 Other 0 3 No Northern
## 894 Yes 196 Other NA 10 Yes Northern
## 895 Yes 200 Other 0 6 No Northern
## 896 Yes 200 Other 0 8 No Northern
## 897 Yes 201 Other 0 5 No Northern
## 898 Yes 205 Other NA 2 Yes Northern
## 899 Yes 205 USA 0 9 No Northern
## 900 Yes 211 USA 9 2 Yes Northern
## 901 Yes 218 Chi 0 7 No Northern
## 902 Yes 218 Other 0 7 No Southern
## 903 Yes 229 Other 0 7 No Northern
## 904 Yes 231 Other 0 1 No Northern
## 905 Yes 237 USA 0 6 No Northern
## 906 Yes 242 Other 0 7 Yes Northern
## 907 Yes 258 USA 0 3 No Northern
## 908 Yes 260 Other 0 3 Yes Northern
## 909 Yes 279 Other 5 5 Yes Northern
## 910 Yes 294 Other 1 7 No Southern
## 911 Yes 295 USA 0 2 No Northern
## 912 Yes 310 Other 0 1 No Northern
## 913 Yes 326 Other 0 8 Yes Northern
## 914 Yes 329 Other 0 1 Yes Northern
## 915 Yes 331 Other 0 2 No Northern
## 916 Yes 333 USA 0 2 No Northern
## 917 Yes 344 Other 0 7 Yes Northern
## 918 Yes 355 USA 0 5 Yes Northern
## 919 Yes 359 Other 0 6 No Northern
## 920 Yes 368 Other 0 3 No Northern
## 921 Yes 369 Other 0 10 No Northern
## 922 Yes 378 Other 0 6 No Northern
## 923 Yes 387 Other 0 1 Yes Northern
## 924 Yes 387 USA 0 2 No Northern
## 925 Yes 395 Other 0 7 No Northern
## 926 Yes 395 USA 0 0 Yes Northern
## 927 Yes 400 Other 0 0 Yes Northern
## 928 Yes 413 Other 0 11 No Northern
## 929 Yes 425 Other 0 9 No Northern
## 930 Yes 433 USA 0 7 No Northern
## 931 Yes 444 Other 0 12 Yes Northern
## 932 Yes 445 Other 9 5 Yes Northern
## 933 Yes 448 Other 0 2 No Northern
## 934 Yes 451 USA 0 11 No Northern
## 935 Yes 478 USA 0 10 No Northern
## 936 Yes 492 Other 0 11 No Northern
## 937 Yes 651 Other 0 0 Yes Northern
## 938 Yes 652 Spain 0 9 Yes Northern
## 939 Yes 683 Japan 0 11 No Northern
## 940 Yes 704 Other 0 0 Yes Northern
## 941 Yes 704 USA 0 0 No Northern
## 942 Yes 709 Other 0 2 No Northern
## 943 Yes 942 Other 0 5 Yes Northern
## 944 Yes 977 Other NA 2 No Northern
## 945 Yes 1169 USA 0 9 No Northern
## 946 Yes 1173 USA 0 9 No Northern
## 947 Yes 1450 USA 0 9 No Northern
## 948 Yes 1655 Other 0 4 Yes Northern
## 949 Yes 1699 Other NA 9 Yes Northern
## 950 Yes 2860 Other NA 9 Yes Northern
## 951 Yes NA UK 0 4 No Northern
## 952 <NA> NA <NA> NA NA <NA> <NA>
## Hospitalizations MeanD1 MeanI1 MedianD1 MedianI1 OBYear Path1
## 1 0 0.0 0 0.0 0 2004 Unspecified
## 2 0 0.0 0 0.0 0 2004 Unspecified
## 3 0 0.0 0 0.0 0 2004 Unspecified
## 4 0 0.0 0 0.0 0 2004 Unspecified
## 5 0 0.0 0 0.0 0 2004 Unspecified
## 6 0 0.0 0 0.0 0 2004 Unspecified
## 7 0 0.0 0 0.0 0 2004 Unspecified
## 8 0 0.0 0 0.0 0 2005 Unspecified
## 9 0 0.0 0 0.0 0 2004 Unspecified
## 10 0 0.0 0 0.0 0 2004 Unspecified
## 11 0 0.0 0 0.0 0 2004 Unspecified
## 12 0 0.0 0 0.0 0 1997 Unspecified
## 13 0 0.0 0 0.0 0 1999 Unspecified
## 14 0 0.0 0 0.0 0 2000 Unspecified
## 15 0 0.0 0 0.0 0 2003 Unspecified
## 16 0 0.0 0 0.0 0 2003 Unspecified
## 17 0 0.0 0 0.0 0 2003 Unspecified
## 18 0 0.0 0 0.0 0 2004 Unspecified
## 19 0 0.0 0 0.0 0 2004 Unspecified
## 20 0 0.0 0 0.0 0 2004 Unspecified
## 21 0 0.0 0 0.0 0 2004 Unspecified
## 22 0 0.0 0 0.0 0 2004 Unspecified
## 23 0 0.0 0 0.0 0 2004 Unspecified
## 24 0 0.0 0 0.0 0 1996 Unspecified
## 25 0 0.0 0 0.0 0 1997 Unspecified
## 26 0 0.0 0 0.0 0 1997 Unspecified
## 27 0 0.0 0 0.0 0 1997 Unspecified
## 28 0 0.0 0 0.0 0 1997 Unspecified
## 29 0 0.0 0 0.0 0 1998 Unspecified
## 30 0 0.0 0 0.0 0 1999 Unspecified
## 31 0 0.0 0 0.0 0 1999 Unspecified
## 32 0 0.0 0 0.0 0 2000 Unspecified
## 33 0 0.0 0 0.0 0 2000 Unspecified
## 34 0 0.0 0 0.0 0 2002 Unspecified
## 35 0 0.0 0 0.0 0 2002 Unspecified
## 36 0 0.0 0 0.0 0 2002 Unspecified
## 37 0 0.0 0 0.0 0 2002 Unspecified
## 38 0 0.0 0 0.0 0 2002 Unspecified
## 39 0 0.0 0 0.0 0 2003 Unspecified
## 40 0 0.0 0 0.0 0 2003 Unspecified
## 41 0 0.0 0 0.0 0 2003 Unspecified
## 42 0 0.0 0 0.0 0 2001 Unspecified
## 43 0 0.0 0 0.0 0 2001 Unspecified
## 44 0 0.0 0 0.0 0 2002 Unspecified
## 45 0 0.0 0 0.0 0 2006 Unspecified
## 46 0 0.0 0 0.0 0 2006 Unspecified
## 47 0 0.0 0 0.0 0 2006 Unspecified
## 48 0 0.0 0 0.0 0 2006 Unspecified
## 49 0 0.0 0 0.0 0 2006 Unspecified
## 50 0 0.0 0 0.0 0 2006 Unspecified
## 51 0 0.0 0 0.0 0 2006 Unspecified
## 52 0 0.0 0 0.0 0 2006 Unspecified
## 53 0 0.0 0 0.0 0 2006 Unspecified
## 54 0 0.0 0 0.0 0 2004 Unspecified
## 55 0 0.0 0 0.0 0 2004 Unspecified
## 56 0 0.0 0 0.0 0 2006 Unspecified
## 57 0 0.0 0 0.0 0 2006 Unspecified
## 58 0 0.0 0 0.0 0 2006 Unspecified
## 59 0 0.0 0 0.0 0 2006 Unspecified
## 60 0 0.0 0 0.0 0 2004 Unspecified
## 61 0 0.0 0 0.0 0 2005 Unspecified
## 62 0 0.0 0 0.0 0 2006 Unspecified
## 63 0 0.0 0 0.0 0 2005 Unspecified
## 64 0 0.0 0 0.0 0 2005 Unspecified
## 65 0 0.0 0 0.0 0 2005 Unspecified
## 66 0 0.0 0 0.0 0 2006 Unspecified
## 67 0 0.0 0 0.0 0 2006 Unspecified
## 68 0 0.0 0 14.0 37 1999 Unspecified
## 69 0 0.0 0 16.0 18 1999 Unspecified
## 70 0 0.0 0 0.0 0 2004 Unspecified
## 71 0 0.0 0 0.0 0 2006 Unspecified
## 72 0 0.0 0 0.0 0 2004 Unspecified
## 73 0 0.0 0 0.0 0 2004 Unspecified
## 74 0 0.0 0 0.0 0 1997 Unspecified
## 75 0 0.0 0 0.0 0 1997 Unspecified
## 76 0 0.0 0 0.0 0 1997 Unspecified
## 77 0 0.0 0 0.0 0 1998 Unspecified
## 78 0 0.0 0 0.0 0 1998 Unspecified
## 79 0 0.0 0 0.0 0 1999 Unspecified
## 80 0 0.0 0 0.0 0 1999 Unspecified
## 81 0 0.0 0 0.0 0 1999 Unspecified
## 82 0 0.0 0 0.0 0 2000 Unspecified
## 83 0 0.0 0 0.0 0 2001 Unspecified
## 84 0 0.0 0 0.0 0 2002 Unspecified
## 85 0 0.0 0 0.0 0 2003 Unspecified
## 86 0 0.0 0 0.0 0 2003 Unspecified
## 87 0 0.0 0 0.0 0 2003 Unspecified
## 88 0 0.0 0 0.0 0 2003 Unspecified
## 89 0 0.0 0 0.0 0 2003 Unspecified
## 90 0 0.0 0 0.0 0 2003 Unspecified
## 91 0 0.0 0 0.0 0 2003 Unspecified
## 92 0 0.0 0 0.0 0 2003 Yes
## 93 0 0.0 0 0.0 0 2006 Unspecified
## 94 0 0.0 0 0.0 0 2006 Unspecified
## 95 0 0.0 0 0.0 0 2006 Unspecified
## 96 0 0.0 0 0.0 0 2006 Unspecified
## 97 0 0.0 0 0.0 0 2006 Unspecified
## 98 0 0.0 0 0.0 0 2006 Unspecified
## 99 0 0.0 0 0.0 0 2004 Unspecified
## 100 0 0.0 0 0.0 0 2006 Unspecified
## 101 0 0.0 0 0.0 0 2006 Unspecified
## 102 0 0.0 0 0.0 0 2005 Unspecified
## 103 0 0.0 0 0.0 0 2006 Unspecified
## 104 0 0.0 0 0.0 0 2007 Unspecified
## 105 0 0.0 0 0.0 0 1998 Unspecified
## 106 0 0.0 0 0.0 0 2010 Unspecified
## 107 0 0.0 0 0.0 0 2005 No
## 108 0 0.0 0 0.0 0 2005 No
## 109 0 0.0 0 0.0 0 2002 Unspecified
## 110 0 0.0 0 0.0 0 2004 Unspecified
## 111 0 0.0 0 0.0 0 2004 Unspecified
## 112 0 0.0 0 0.0 0 2004 Unspecified
## 113 0 0.0 0 0.0 0 1997 Unspecified
## 114 0 0.0 0 0.0 0 1997 Unspecified
## 115 0 0.0 0 0.0 0 1998 Unspecified
## 116 0 0.0 0 0.0 0 1998 Unspecified
## 117 0 0.0 0 0.0 0 1998 Unspecified
## 118 0 0.0 0 0.0 0 2000 Unspecified
## 119 0 0.0 0 0.0 0 2000 Unspecified
## 120 0 0.0 0 0.0 0 2000 Unspecified
## 121 0 0.0 0 0.0 0 2002 Unspecified
## 122 0 0.0 0 0.0 0 2003 Unspecified
## 123 0 0.0 0 0.0 0 1997 Unspecified
## 124 0 0.0 0 0.0 0 2002 Unspecified
## 125 0 0.0 0 0.0 0 2006 Unspecified
## 126 0 0.0 0 0.0 0 2006 Unspecified
## 127 0 0.0 0 0.0 0 2004 Unspecified
## 128 0 0.0 0 0.0 0 2005 Unspecified
## 129 0 0.0 0 0.0 0 2006 Unspecified
## 130 0 0.0 0 0.0 0 2007 Unspecified
## 131 0 0.0 0 0.0 0 1998 Unspecified
## 132 0 0.0 0 0.0 0 2002 Unspecified
## 133 0 0.0 0 0.0 0 2003 Unspecified
## 134 0 0.0 0 0.0 0 2003 Unspecified
## 135 0 0.0 0 0.0 0 1997 Unspecified
## 136 0 0.0 0 0.0 0 1999 Unspecified
## 137 0 0.0 0 0.0 0 2000 Unspecified
## 138 0 0.0 0 0.0 0 2000 Unspecified
## 139 0 0.0 0 0.0 0 2002 Unspecified
## 140 0 0.0 0 0.0 0 2002 Yes
## 141 0 0.0 0 0.0 0 2003 Unspecified
## 142 0 0.0 0 0.0 0 2003 Unspecified
## 143 0 0.0 0 0.0 0 2003 Unspecified
## 144 0 0.0 0 0.0 0 2003 Yes
## 145 0 0.0 0 0.0 0 2001 Unspecified
## 146 0 0.0 0 0.0 0 2002 Yes
## 147 0 0.0 0 0.0 0 2005 Unspecified
## 148 0 0.0 0 0.0 0 2005 Unspecified
## 149 0 0.0 0 0.0 0 2006 Unspecified
## 150 0 0.0 0 0.0 0 2006 Unspecified
## 151 0 0.0 0 0.0 0 1999 Yes
## 152 0 0.0 0 17.0 28 1999 Unspecified
## 153 0 0.0 0 33.0 37 1999 Unspecified
## 154 0 0.0 0 34.0 22 1999 Unspecified
## 155 0 0.0 0 0.0 0 2004 Unspecified
## 156 NA 0.0 0 0.0 0 1999 Yes
## 157 NA 0.0 0 0.0 0 1999 Yes
## 158 0 0.0 0 0.0 0 2002 Unspecified
## 159 0 0.0 0 0.0 0 2004 Unspecified
## 160 0 0.0 0 0.0 0 1997 Unspecified
## 161 0 0.0 0 0.0 0 1997 Unspecified
## 162 0 0.0 0 0.0 0 1998 Unspecified
## 163 0 0.0 0 0.0 0 1999 Unspecified
## 164 0 0.0 0 0.0 0 2000 Unspecified
## 165 0 0.0 0 0.0 0 2000 Unspecified
## 166 0 0.0 0 0.0 0 2001 Unspecified
## 167 0 0.0 0 0.0 0 2002 Unspecified
## 168 0 0.0 0 0.0 0 2002 Unspecified
## 169 0 0.0 0 0.0 0 2003 Unspecified
## 170 0 0.0 0 0.0 0 2003 Unspecified
## 171 0 0.0 0 0.0 0 2003 Unspecified
## 172 0 0.0 0 0.0 0 2003 Unspecified
## 173 0 0.0 0 0.0 0 2005 Unspecified
## 174 0 0.0 0 0.0 0 2006 Unspecified
## 175 0 0.0 0 0.0 0 2006 Unspecified
## 176 0 0.0 0 0.0 0 2006 Unspecified
## 177 0 0.0 0 0.0 0 2006 Unspecified
## 178 0 0.0 0 0.0 0 2006 Unspecified
## 179 0 0.0 0 0.0 0 2004 Unspecified
## 180 0 0.0 0 0.0 0 2004 Unspecified
## 181 0 0.0 0 0.0 0 2006 Unspecified
## 182 0 0.0 0 0.0 0 2006 Unspecified
## 183 0 0.0 0 0.0 0 2004 Unspecified
## 184 0 0.0 0 0.0 0 2004 Unspecified
## 185 0 0.0 0 0.0 0 2006 Unspecified
## 186 0 0.0 0 0.0 0 2000 Unspecified
## 187 0 0.0 0 0.0 0 2009 Unspecified
## 188 0 0.0 0 0.0 0 1998 Unspecified
## 189 0 0.0 0 0.0 0 1999 Unspecified
## 190 0 0.0 0 0.0 0 1999 Unspecified
## 191 0 0.0 0 0.0 0 2000 Unspecified
## 192 0 0.0 0 0.0 0 2000 Unspecified
## 193 0 0.0 0 0.0 0 2001 Unspecified
## 194 0 0.0 0 0.0 0 2002 Unspecified
## 195 0 0.0 0 0.0 0 2001 Unspecified
## 196 0 0.0 0 0.0 0 2001 Unspecified
## 197 0 0.0 0 0.0 0 2004 Unspecified
## 198 0 0.0 0 0.0 0 2005 No
## 199 0 0.0 0 0.0 0 1999 Unspecified
## 200 0 0.0 0 0.0 0 1997 Unspecified
## 201 0 0.0 0 36.0 0 1994 Unspecified
## 202 0 0.0 0 0.0 0 2002 Unspecified
## 203 0 0.0 0 0.0 0 1998 Unspecified
## 204 0 0.0 0 0.0 0 1998 Unspecified
## 205 0 0.0 0 0.0 0 1998 Unspecified
## 206 0 0.0 0 0.0 0 1999 Unspecified
## 207 0 0.0 0 0.0 0 2000 Unspecified
## 208 0 0.0 0 0.0 0 2002 No
## 209 0 0.0 0 0.0 0 2006 Unspecified
## 210 0 0.0 0 0.0 0 2006 Unspecified
## 211 0 0.0 0 0.0 0 2006 Unspecified
## 212 0 0.0 0 0.0 0 2004 Unspecified
## 213 0 0.0 0 0.0 0 2005 Unspecified
## 214 0 0.0 0 0.0 0 1998 No
## 215 0 0.0 0 28.0 34 1999 Unspecified
## 216 0 0.0 0 34.0 40 1999 Unspecified
## 217 0 0.0 0 0.0 0 2006 Unspecified
## 218 0 0.0 0 0.0 0 2005 Yes
## 219 0 0.0 0 0.0 0 1999 Unspecified
## 220 0 0.0 0 0.0 0 2009 Unspecified
## 221 0 0.0 0 0.0 0 2009 Unspecified
## 222 NA 0.0 0 0.0 0 1999 No
## 223 0 0.0 0 0.0 0 1998 No
## 224 0 0.0 0 0.0 0 1998 Unspecified
## 225 0 0.0 0 0.0 0 2000 Unspecified
## 226 0 0.0 0 0.0 0 2004 Yes
## 227 0 0.0 0 0.0 0 1999 Unspecified
## 228 0 0.0 0 0.0 0 2002 Unspecified
## 229 0 0.0 0 0.0 0 2005 Unspecified
## 230 0 0.0 0 0.0 0 2006 Unspecified
## 231 0 0.0 0 0.0 0 2004 Unspecified
## 232 0 0.0 0 0.0 0 2005 Unspecified
## 233 0 0.0 0 0.0 0 2006 Unspecified
## 234 0 0.0 0 0.0 0 2006 Unspecified
## 235 0 0.0 0 0.0 0 2006 Unspecified
## 236 0 0.0 0 0.0 0 2006 Unspecified
## 237 0 0.0 0 0.0 0 2006 Unspecified
## 238 0 0.0 0 0.0 0 2005 No
## 239 0 0.0 0 0.0 0 2003 Unspecified
## 240 0 0.0 0 0.0 0 1999 Unspecified
## 241 0 0.0 0 0.0 0 1999 Unspecified
## 242 0 0.0 0 0.0 0 2000 Unspecified
## 243 0 0.0 0 0.0 0 2002 Unspecified
## 244 0 0.0 0 0.0 0 2003 Unspecified
## 245 0 0.0 0 0.0 0 2006 Unspecified
## 246 0 0.0 0 0.0 0 2006 Unspecified
## 247 0 0.0 0 0.0 0 2006 Unspecified
## 248 0 0.0 0 0.0 0 2006 Unspecified
## 249 0 0.0 0 0.0 0 2003 Unspecified
## 250 0 0.0 0 0.0 0 2006 Unspecified
## 251 0 0.0 0 0.0 0 2009 Unspecified
## 252 0 0.0 0 0.0 0 2009 Unspecified
## 253 0 0.0 0 0.0 0 2009 Unspecified
## 254 0 0.0 0 0.0 0 1997 Unspecified
## 255 0 0.0 0 0.0 0 1998 Unspecified
## 256 0 0.0 0 0.0 0 1998 Unspecified
## 257 0 0.0 0 0.0 0 2000 Unspecified
## 258 0 0.0 0 0.0 0 2001 Unspecified
## 259 0 0.0 0 0.0 0 2003 Unspecified
## 260 0 0.0 0 0.0 0 2006 No
## 261 0 0.0 0 0.0 0 2006 Unspecified
## 262 0 0.0 0 0.0 0 2004 Unspecified
## 263 0 0.0 0 0.0 0 2005 Unspecified
## 264 0 0.0 0 0.0 0 2002 Unspecified
## 265 0 0.0 0 0.0 0 2006 Unspecified
## 266 0 0.0 0 0.0 0 2003 Unspecified
## 267 0 0.0 0 0.0 0 1998 Unspecified
## 268 0 0.0 0 0.0 0 2010 Unspecified
## 269 0 0.0 0 0.0 0 2002 Unspecified
## 270 NA 0.0 0 0.0 0 2000 No
## 271 0 0.0 0 0.0 0 2002 Unspecified
## 272 0 0.0 0 0.0 0 1997 Unspecified
## 273 0 0.0 0 0.0 0 1999 Unspecified
## 274 0 0.0 0 0.0 0 1999 Unspecified
## 275 0 0.0 0 0.0 0 2001 Unspecified
## 276 0 0.0 0 0.0 0 2001 Unspecified
## 277 0 0.0 0 0.0 0 2001 Unspecified
## 278 0 0.0 0 0.0 0 2001 Unspecified
## 279 0 0.0 0 0.0 0 2002 Unspecified
## 280 0 0.0 0 0.0 0 2004 Unspecified
## 281 0 0.0 0 0.0 0 1997 Unspecified
## 282 0 0.0 0 0.0 0 2003 Yes
## 283 0 0.0 0 0.0 0 2006 Unspecified
## 284 0 0.0 0 0.0 0 2006 Unspecified
## 285 0 0.0 0 0.0 0 2004 No
## 286 0 0.0 0 0.0 0 2003 Unspecified
## 287 0 0.0 0 0.0 0 2009 Unspecified
## 288 0 0.0 0 0.0 0 1998 Unspecified
## 289 0 0.0 0 0.0 0 2000 Unspecified
## 290 0 0.0 0 0.0 0 2000 Unspecified
## 291 0 0.0 0 0.0 0 2001 Unspecified
## 292 0 0.0 0 0.0 0 1997 Unspecified
## 293 0 0.0 0 0.0 0 2006 Unspecified
## 294 0 0.0 0 0.0 0 2006 Unspecified
## 295 0 0.0 0 0.0 0 1998 Unspecified
## 296 0 0.0 0 0.0 0 2000 Yes
## 297 0 0.0 0 0.0 0 1994 Unspecified
## 298 0 0.0 0 0.0 0 2003 Unspecified
## 299 0 0.0 0 0.0 0 2005 No
## 300 0 0.0 0 0.0 0 2009 Unspecified
## 301 0 0.0 0 0.0 0 2002 Unspecified
## 302 NA 0.0 0 0.0 0 1999 No
## 303 0 0.0 0 0.0 0 1998 Unspecified
## 304 0 0.0 0 0.0 0 1999 Unspecified
## 305 0 0.0 0 0.0 0 2000 Unspecified
## 306 0 0.0 0 0.0 0 2002 Unspecified
## 307 0 0.0 0 0.0 0 1998 Unspecified
## 308 0 0.0 0 0.0 0 2004 Unspecified
## 309 0 0.0 0 0.0 0 2006 Unspecified
## 310 0 0.0 0 0.0 0 2010 Unspecified
## 311 0 0.0 0 0.0 0 2000 No
## 312 0 0.0 0 0.0 0 2002 Unspecified
## 313 0 0.0 0 0.0 0 2002 Unspecified
## 314 0 0.0 0 0.0 0 2002 Unspecified
## 315 0 0.0 0 0.0 0 2009 Unspecified
## 316 0 0.0 0 0.0 0 2002 Unspecified
## 317 0 0.0 0 0.0 0 2002 Unspecified
## 318 0 0.0 0 0.0 0 1997 Unspecified
## 319 0 0.0 0 0.0 0 1999 Unspecified
## 320 0 0.0 0 0.0 0 1999 Unspecified
## 321 0 0.0 0 0.0 0 2002 Unspecified
## 322 0 0.0 0 0.0 0 2004 Unspecified
## 323 0 0.0 0 0.0 0 1999 No
## 324 0 0.0 0 0.0 0 1998 No
## 325 0 0.0 0 0.0 0 2002 Unspecified
## 326 0 0.0 0 0.0 0 2006 Unspecified
## 327 0 0.0 0 0.0 0 2006 Unspecified
## 328 0 0.0 0 0.0 0 2006 Unspecified
## 329 0 0.0 0 0.0 0 2006 Unspecified
## 330 0 0.0 0 0.0 0 2004 No
## 331 0 0.0 0 0.0 0 2006 Unspecified
## 332 0 0.0 0 0.0 0 2006 Unspecified
## 333 0 0.0 0 0.0 0 1998 Unspecified
## 334 0 0.0 0 0.0 0 2010 Unspecified
## 335 0 0.0 0 0.0 0 2002 Unspecified
## 336 0 0.0 0 0.0 0 1998 Unspecified
## 337 0 0.0 0 0.0 0 1999 Unspecified
## 338 0 0.0 0 0.0 0 1999 Unspecified
## 339 0 0.0 0 0.0 0 2002 Yes
## 340 0 0.0 0 0.0 0 2004 Unspecified
## 341 0 0.0 0 0.0 0 2005 Unspecified
## 342 0 0.0 0 0.0 0 2005 Unspecified
## 343 0 0.0 0 0.0 0 2004 Unspecified
## 344 0 0.0 0 0.0 0 1998 No
## 345 0 0.0 0 0.0 0 1999 Unspecified
## 346 0 0.0 0 0.0 0 2000 Unspecified
## 347 0 0.0 0 0.0 0 2004 Unspecified
## 348 0 0.0 0 48.0 33 1999 Unspecified
## 349 0 0.0 0 0.0 0 2005 Unspecified
## 350 0 0.0 0 0.0 0 2005 No
## 351 0 0.0 0 0.0 0 2003 Unspecified
## 352 0 0.0 28 0.0 0 1999 No
## 353 3 0.0 0 0.0 0 2002 Unspecified
## 354 0 0.0 0 0.0 0 1997 Unspecified
## 355 0 0.0 0 0.0 0 1999 Unspecified
## 356 0 0.0 0 33.0 33 1999 Unspecified
## 357 0 0.0 0 0.0 0 2002 Unspecified
## 358 0 0.0 0 0.0 0 1997 Unspecified
## 359 0 0.0 0 0.0 0 2002 Unspecified
## 360 0 0.0 0 0.0 0 1998 Unspecified
## 361 0 0.0 0 0.0 0 2003 Unspecified
## 362 0 0.0 0 0.0 0 2003 Unspecified
## 363 0 0.0 0 0.0 0 2006 Unspecified
## 364 0 0.0 0 0.0 0 2005 Unspecified
## 365 0 0.0 0 0.0 0 2004 Unspecified
## 366 0 0.0 0 0.0 0 2005 Unspecified
## 367 0 0.0 0 0.0 0 1994 Unspecified
## 368 0 0.0 0 48.0 31 1999 Unspecified
## 369 0 0.0 0 0.0 0 2002 Unspecified
## 370 NA 0.0 0 0.0 0 1999 Yes
## 371 0 0.0 0 0.0 0 1997 Unspecified
## 372 0 0.0 0 0.0 0 1997 Unspecified
## 373 0 0.0 0 0.0 0 1998 Unspecified
## 374 0 0.0 0 0.0 0 2000 Unspecified
## 375 0 0.0 0 0.0 0 2000 Unspecified
## 376 0 0.0 0 0.0 0 2001 Unspecified
## 377 0 0.0 0 0.0 0 2001 Unspecified
## 378 0 0.0 0 0.0 0 2001 Unspecified
## 379 0 0.0 0 0.0 0 2003 Unspecified
## 380 0 0.0 0 0.0 0 1997 Unspecified
## 381 0 0.0 0 0.0 0 2006 No
## 382 0 0.0 0 0.0 0 2004 Unspecified
## 383 0 0.0 0 0.0 0 2006 Unspecified
## 384 0 0.0 0 0.0 0 2004 No
## 385 0 0.0 0 0.0 0 2006 Unspecified
## 386 0 0.0 0 0.0 0 2006 Unspecified
## 387 0 45.0 28 0.0 0 2008 No
## 388 0 0.0 0 0.0 0 1994 No
## 389 0 0.0 0 0.0 0 2003 Unspecified
## 390 0 24.0 0 0.0 0 1999 No
## 391 0 0.0 0 0.0 0 1997 Unspecified
## 392 0 0.0 0 0.0 0 1998 Unspecified
## 393 0 0.0 0 0.0 0 2002 Unspecified
## 394 0 0.0 0 0.0 0 2003 Unspecified
## 395 0 0.0 0 0.0 0 2004 Unspecified
## 396 0 0.0 0 0.0 0 2004 Unspecified
## 397 0 0.0 0 0.0 0 2004 Unspecified
## 398 0 0.0 0 0.0 0 2002 Unspecified
## 399 0 0.0 0 0.0 0 2003 Yes
## 400 0 0.0 0 0.0 0 2004 Unspecified
## 401 0 0.0 0 0.0 0 2005 Unspecified
## 402 0 0.0 0 0.0 0 2005 Unspecified
## 403 0 0.0 0 0.0 0 1999 Unspecified
## 404 0 0.0 0 0.0 0 2005 No
## 405 0 0.0 0 0.0 0 2002 Unspecified
## 406 0 0.0 0 0.0 0 1999 Unspecified
## 407 0 0.0 0 0.0 0 2002 Unspecified
## 408 0 0.0 0 0.0 0 2003 Unspecified
## 409 0 0.0 0 0.0 0 2006 Unspecified
## 410 0 0.0 0 0.0 0 2002 Unspecified
## 411 0 0.0 0 0.0 0 2007 Unspecified
## 412 0 0.0 0 0.0 0 1997 Yes
## 413 0 0.0 0 0.0 0 2000 Unspecified
## 414 0 0.0 0 0.0 0 2002 Unspecified
## 415 0 0.0 0 0.0 0 2006 Unspecified
## 416 0 0.0 0 0.0 0 2005 No
## 417 0 0.0 0 0.0 0 2002 Unspecified
## 418 0 0.0 0 0.0 0 2002 Unspecified
## 419 0 0.0 0 0.0 0 1998 No
## 420 0 0.0 0 0.0 0 2002 Unspecified
## 421 0 0.0 0 0.0 0 2000 No
## 422 0 0.0 0 0.0 0 2007 Unspecified
## 423 0 0.0 0 0.0 0 1998 No
## 424 0 0.0 0 0.0 0 1999 Unspecified
## 425 0 96.0 33 0.0 0 2008 Yes
## 426 0 0.0 0 0.0 0 1999 No
## 427 0 0.0 0 0.0 0 2006 Unspecified
## 428 0 0.0 0 0.0 0 1999 Unspecified
## 429 0 0.0 0 0.0 0 1998 Unspecified
## 430 0 0.0 0 0.0 0 2002 Unspecified
## 431 0 0.0 0 0.0 0 2002 Yes
## 432 0 0.0 0 0.0 0 2003 Unspecified
## 433 0 0.0 0 0.0 0 2002 Unspecified
## 434 0 0.0 0 0.0 0 2002 Unspecified
## 435 0 0.0 0 0.0 0 2002 Unspecified
## 436 0 0.0 0 0.0 0 1997 Unspecified
## 437 0 0.0 0 0.0 0 2001 Unspecified
## 438 0 0.0 0 0.0 0 2001 Unspecified
## 439 0 0.0 0 0.0 0 2003 Unspecified
## 440 0 0.0 0 0.0 0 2004 Unspecified
## 441 0 0.0 0 0.0 0 2003 Unspecified
## 442 0 0.0 0 0.0 0 2002 Unspecified
## 443 0 0.0 0 0.0 0 1998 Unspecified
## 444 0 0.0 0 0.0 0 2003 Unspecified
## 445 0 0.0 0 0.0 0 2005 Unspecified
## 446 0 0.0 0 0.0 0 2005 Unspecified
## 447 0 0.0 0 0.0 0 1998 No
## 448 0 0.0 0 0.0 0 1994 Unspecified
## 449 0 0.0 0 0.0 0 2006 Unspecified
## 450 0 0.0 0 0.0 0 2004 No
## 451 0 0.0 0 24.0 37 1993 No
## 452 5 0.0 0 0.0 0 2002 Unspecified
## 453 0 0.0 0 0.0 0 1998 Unspecified
## 454 0 0.0 0 0.0 0 2003 Unspecified
## 455 0 0.0 0 0.0 0 2003 Unspecified
## 456 0 0.0 0 0.0 0 2001 Unspecified
## 457 0 0.0 0 0.0 0 1998 No
## 458 0 0.0 0 0.0 0 2003 Unspecified
## 459 NA 0.0 0 0.0 0 2000 No
## 460 0 0.0 0 0.0 0 2000 Unspecified
## 461 0 0.0 0 0.0 0 1998 Unspecified
## 462 0 0.0 0 0.0 0 2002 Unspecified
## 463 0 0.0 0 0.0 0 2003 Unspecified
## 464 0 0.0 0 0.0 0 2003 Unspecified
## 465 0 0.0 0 0.0 0 2006 Unspecified
## 466 0 0.0 0 0.0 0 2004 Unspecified
## 467 0 0.0 0 0.0 0 1999 No
## 468 0 0.0 0 0.0 0 2002 Unspecified
## 469 0 0.0 0 0.0 0 2004 Unspecified
## 470 0 0.0 0 0.0 0 1999 Unspecified
## 471 0 0.0 0 0.0 0 2002 Unspecified
## 472 0 0.0 0 0.0 0 2006 Unspecified
## 473 0 0.0 0 0.0 0 2006 Unspecified
## 474 0 0.0 0 0.0 0 2007 No
## 475 0 0.0 0 0.0 0 2002 Unspecified
## 476 0 0.0 0 0.0 0 2001 Unspecified
## 477 0 0.0 0 0.0 0 1995 Unspecified
## 478 0 0.0 0 0.0 0 2005 Unspecified
## 479 0 0.0 0 0.0 0 1998 Unspecified
## 480 0 0.0 0 0.0 0 2001 Unspecified
## 481 0 0.0 0 0.0 0 2004 Unspecified
## 482 0 0.0 0 0.0 0 2002 Unspecified
## 483 0 0.0 0 0.0 0 2005 Unspecified
## 484 0 0.0 0 0.0 0 2004 Unspecified
## 485 0 0.0 0 0.0 0 2007 Unspecified
## 486 11 0.0 0 0.0 0 2002 Unspecified
## 487 0 0.0 0 0.0 0 1998 Unspecified
## 488 0 0.0 0 0.0 0 2004 Unspecified
## 489 0 0.0 0 0.0 0 2004 Unspecified
## 490 0 0.0 0 0.0 0 2006 Unspecified
## 491 0 35.0 36 0.0 0 2007 Unspecified
## 492 0 0.0 0 0.0 0 2000 Unspecified
## 493 0 0.0 0 0.0 0 2006 Unspecified
## 494 0 0.0 0 0.0 0 2000 Unspecified
## 495 0 0.0 0 0.0 0 1998 Unspecified
## 496 0 0.0 0 0.0 0 2000 Unspecified
## 497 0 0.0 0 0.0 0 2003 Unspecified
## 498 0 0.0 0 0.0 0 1998 No
## 499 NA 0.0 0 0.0 0 2000 No
## 500 0 0.0 0 0.0 0 1996 Unspecified
## 501 0 0.0 0 0.0 0 2003 Unspecified
## 502 0 0.0 0 0.0 0 1999 Unspecified
## 503 0 0.0 0 0.0 0 2002 Unspecified
## 504 0 0.0 0 0.0 0 2004 Unspecified
## 505 0 0.0 0 0.0 0 2004 Unspecified
## 506 0 0.0 0 0.0 0 2005 Unspecified
## 507 0 0.0 0 0.0 0 2006 Unspecified
## 508 0 0.0 0 0.0 0 2006 Unspecified
## 509 0 0.0 0 0.0 0 2007 No
## 510 0 0.0 0 0.0 0 2003 Unspecified
## 511 NA 0.0 0 0.0 0 2000 No
## 512 NA 0.0 0 0.0 0 2000 No
## 513 0 0.0 0 0.0 0 2000 Unspecified
## 514 0 0.0 0 0.0 0 2003 Unspecified
## 515 NA 0.0 0 0.0 0 2000 No
## 516 1 0.0 0 27.0 31 2000 No
## 517 0 0.0 0 0.0 0 2004 Unspecified
## 518 0 0.0 0 0.0 0 2005 Unspecified
## 519 0 0.0 0 0.0 0 2004 Yes
## 520 0 0.0 0 0.0 0 1997 Unspecified
## 521 0 0.0 0 0.0 0 2004 Unspecified
## 522 0 0.0 0 0.0 0 1994 Unspecified
## 523 NA 0.0 0 0.0 36 2008 Yes
## 524 0 0.0 0 0.0 0 2002 No
## 525 0 0.0 0 0.0 0 2002 Unspecified
## 526 0 0.0 0 0.0 0 2003 Unspecified
## 527 0 0.0 0 0.0 0 2004 Unspecified
## 528 NA 0.0 0 0.0 0 2005 Yes
## 529 0 0.0 0 0.0 0 1998 No
## 530 0 0.0 0 0.0 0 1999 Unspecified
## 531 0 0.0 0 0.0 0 1999 Unspecified
## 532 0 0.0 0 0.0 0 2004 Unspecified
## 533 0 0.0 0 0.0 0 1998 Unspecified
## 534 0 0.0 0 0.0 0 2003 Unspecified
## 535 0 0.0 0 0.0 0 2003 Unspecified
## 536 0 0.0 0 0.0 0 2006 Unspecified
## 537 0 0.0 0 0.0 0 2007 Unspecified
## 538 0 0.0 0 0.0 0 2002 Unspecified
## 539 0 0.0 0 0.0 0 2003 No
## 540 0 0.0 0 0.0 0 2006 Unspecified
## 541 0 0.0 0 0.0 0 2007 Unspecified
## 542 0 0.0 0 0.0 0 2004 Unspecified
## 543 0 0.0 0 0.0 0 2004 Unspecified
## 544 0 0.0 0 0.0 0 2002 Unspecified
## 545 0 0.0 0 0.0 0 2002 Unspecified
## 546 0 0.0 0 0.0 0 1998 No
## 547 0 0.0 0 0.0 0 2004 Unspecified
## 548 0 0.0 0 0.0 3 2002 Unspecified
## 549 0 0.0 0 0.0 0 2002 Unspecified
## 550 0 0.0 0 0.0 0 2004 Unspecified
## 551 0 0.0 32 0.0 0 2005 No
## 552 0 0.0 0 0.0 0 2004 Unspecified
## 553 0 0.0 0 0.0 0 2000 Unspecified
## 554 0 0.0 0 0.0 0 2005 Unspecified
## 555 0 0.0 0 0.0 0 1997 No
## 556 0 0.0 0 0.0 0 1998 No
## 557 0 0.0 0 0.0 0 2001 Unspecified
## 558 0 0.0 0 0.0 0 1996 Unspecified
## 559 0 0.0 0 0.0 0 2003 Unspecified
## 560 NA 0.0 0 0.0 0 2009 Yes
## 561 0 0.0 0 0.0 0 2006 Unspecified
## 562 0 0.0 0 0.0 0 2003 Unspecified
## 563 0 0.0 0 0.0 0 2004 Unspecified
## 564 0 0.0 0 0.0 0 2007 No
## 565 0 0.0 0 0.0 0 1999 Unspecified
## 566 0 0.0 0 0.0 0 2005 No
## 567 0 0.0 0 0.0 0 2002 Unspecified
## 568 0 0.0 0 0.0 0 2003 Unspecified
## 569 0 0.0 0 0.0 0 2006 Unspecified
## 570 0 0.0 0 0.0 0 1994 No
## 571 0 0.0 0 0.0 0 1996 Unspecified
## 572 0 0.0 0 0.0 0 2002 Unspecified
## 573 0 0.0 0 0.0 0 2002 Unspecified
## 574 0 0.0 0 0.0 0 2003 Unspecified
## 575 NA 0.0 38 0.0 0 1998 No
## 576 0 0.0 0 0.0 0 2002 Unspecified
## 577 0 0.0 0 0.0 42 2001 No
## 578 0 0.0 0 0.0 0 1998 Unspecified
## 579 0 0.0 0 0.0 0 2002 Unspecified
## 580 0 0.0 0 0.0 0 2006 Unspecified
## 581 0 0.0 0 0.0 0 2005 Yes
## 582 0 0.0 0 0.0 0 2003 Unspecified
## 583 0 0.0 0 0.0 0 1998 Unspecified
## 584 0 0.0 0 0.0 0 1997 Unspecified
## 585 0 0.0 0 0.0 0 2006 Unspecified
## 586 0 0.0 0 0.0 0 2005 No
## 587 0 0.0 0 0.0 0 2002 Unspecified
## 588 0 0.0 0 0.0 0 2001 Unspecified
## 589 0 0.0 0 0.0 0 2004 Unspecified
## 590 0 0.0 0 0.0 0 1999 Unspecified
## 591 0 0.0 0 0.0 0 2002 Unspecified
## 592 0 0.0 0 0.0 0 1999 Unspecified
## 593 0 0.0 0 0.0 0 2000 Unspecified
## 594 0 0.0 0 0.0 0 2002 Unspecified
## 595 0 0.0 0 0.0 0 2005 Unspecified
## 596 0 0.0 0 0.0 0 2004 No
## 597 0 0.0 0 0.0 0 1999 Yes
## 598 0 0.0 0 0.0 0 2001 Unspecified
## 599 0 0.0 0 0.0 0 1999 Yes
## 600 0 0.0 0 0.0 0 2002 Unspecified
## 601 0 0.0 0 0.0 0 2006 Unspecified
## 602 0 0.0 0 0.0 0 2006 Unspecified
## 603 0 0.0 0 0.0 0 1998 No
## 604 0 0.0 0 0.0 0 2001 Unspecified
## 605 0 0.0 0 0.0 0 2006 Unspecified
## 606 0 0.0 0 0.0 0 2006 Unspecified
## 607 0 0.0 0 0.0 0 2006 Unspecified
## 608 0 0.0 0 0.0 0 2005 No
## 609 0 0.0 0 0.0 0 2003 Unspecified
## 610 0 0.0 0 0.0 0 2004 Unspecified
## 611 NA 0.0 0 0.0 0 2000 No
## 612 0 0.0 0 24.0 0 2000 Unspecified
## 613 0 0.0 0 0.0 0 2002 Unspecified
## 614 0 0.0 0 0.0 0 1999 No
## 615 0 0.0 0 36.0 37 1998 No
## 616 0 0.0 0 0.0 0 2002 No
## 617 0 0.0 0 0.0 0 2004 Unspecified
## 618 0 0.0 0 0.0 0 1998 No
## 619 0 0.0 0 0.0 0 1998 No
## 620 0 0.0 0 0.0 0 2003 No
## 621 0 0.0 0 0.0 0 2002 Unspecified
## 622 0 0.0 0 0.0 36 2008 No
## 623 0 0.0 0 0.0 0 2003 Unspecified
## 624 0 0.0 0 0.0 0 2003 Unspecified
## 625 0 0.0 0 0.0 0 2005 No
## 626 0 0.0 0 0.0 0 2003 No
## 627 0 0.0 0 0.0 0 1994 Unspecified
## 628 0 0.0 0 0.0 0 2003 Unspecified
## 629 0 0.0 0 0.0 34 2002 No
## 630 0 0.0 0 0.0 0 2004 Unspecified
## 631 0 0.0 0 0.0 0 2007 Unspecified
## 632 0 0.0 0 0.0 0 2002 Unspecified
## 633 0 0.0 0 0.0 0 1997 Unspecified
## 634 0 0.0 0 0.0 0 2005 Unspecified
## 635 0 0.0 0 0.0 0 2003 Unspecified
## 636 0 0.0 0 0.0 0 2003 Unspecified
## 637 0 0.0 0 48.0 0 2002 Unspecified
## 638 0 0.0 0 0.0 0 2004 Unspecified
## 639 0 0.0 0 0.0 0 1998 No
## 640 0 0.0 0 0.0 0 2004 Unspecified
## 641 0 0.0 0 0.0 0 2002 Unspecified
## 642 0 0.0 0 0.0 0 1998 Unspecified
## 643 0 0.0 0 0.0 0 2003 Unspecified
## 644 NA 0.0 0 0.0 0 1998 Yes
## 645 0 0.0 0 0.0 0 2003 Unspecified
## 646 0 0.0 0 0.0 0 2004 Unspecified
## 647 0 0.0 0 0.0 0 2002 No
## 648 0 0.0 0 0.0 0 1998 No
## 649 0 0.0 0 0.0 0 1998 No
## 650 NA 0.0 0 0.0 0 1998 Yes
## 651 1 0.0 0 0.0 31 1999 No
## 652 0 0.0 0 0.0 0 1994 No
## 653 0 0.0 0 0.0 0 1998 No
## 654 0 0.0 0 0.0 0 1997 Unspecified
## 655 0 0.0 0 0.0 0 2005 No
## 656 0 0.0 0 0.0 0 2002 Unspecified
## 657 0 0.0 0 18.0 0 1997 No
## 658 0 0.0 0 0.0 0 2002 Unspecified
## 659 0 0.0 0 0.0 0 2004 Unspecified
## 660 0 0.0 0 0.0 0 1997 Unspecified
## 661 0 0.0 0 0.0 0 1998 No
## 662 0 0.0 0 0.0 0 2004 Unspecified
## 663 0 0.0 0 0.0 0 2003 Yes
## 664 0 0.0 0 72.0 0 2004 No
## 665 0 0.0 0 72.0 0 2004 No
## 666 0 0.0 0 0.0 0 1999 Yes
## 667 0 0.0 0 0.0 0 2006 Unspecified
## 668 6 0.0 0 0.0 0 2002 Unspecified
## 669 0 0.0 0 0.0 0 2000 Unspecified
## 670 0 0.0 0 0.0 0 2003 Unspecified
## 671 0 0.0 0 0.0 0 2007 Unspecified
## 672 0 0.0 0 0.0 0 2002 No
## 673 0 0.0 0 0.0 0 2000 Unspecified
## 674 0 0.0 0 0.0 0 2003 No
## 675 0 0.0 0 0.0 0 1999 No
## 676 0 0.0 0 0.0 0 2000 Unspecified
## 677 0 0.0 0 0.0 0 2004 Unspecified
## 678 NA 0.0 0 48.0 41 1998 Yes
## 679 0 0.0 0 0.0 0 2002 Unspecified
## 680 NA 0.0 0 0.0 0 2005 Yes
## 681 0 0.0 0 0.0 0 2004 Unspecified
## 682 0 24.0 32 0.0 0 2006 Unspecified
## 683 5 0.0 0 0.0 0 2004 No
## 684 0 0.0 0 0.0 0 2002 Unspecified
## 685 1 0.0 0 0.0 0 2008 Unspecified
## 686 0 0.0 0 0.0 0 2002 Unspecified
## 687 0 0.0 0 0.0 0 2004 Unspecified
## 688 NA 0.0 0 0.0 0 2000 No
## 689 0 0.0 0 0.0 0 2004 Unspecified
## 690 125 0.0 0 0.0 0 2004 Yes
## 691 0 0.0 0 0.0 0 2002 Unspecified
## 692 NA 0.0 0 0.0 0 1999 No
## 693 0 0.0 0 0.0 0 2002 Unspecified
## 694 0 0.0 0 0.0 0 1998 Unspecified
## 695 5 0.0 0 48.0 48 1994 No
## 696 0 0.0 0 0.0 0 2006 Unspecified
## 697 0 49.0 0 0.0 0 2006 No
## 698 0 0.0 0 0.0 0 2005 No
## 699 0 0.0 0 0.0 0 2004 Unspecified
## 700 0 0.0 0 0.0 0 2003 Unspecified
## 701 0 0.0 0 0.0 0 2004 Unspecified
## 702 0 0.0 0 0.0 0 1999 No
## 703 NA 0.0 0 0.0 0 2003 Yes
## 704 0 0.0 0 0.0 0 2004 Unspecified
## 705 0 0.0 0 0.0 0 1999 No
## 706 0 0.0 0 0.0 0 1998 Unspecified
## 707 0 0.0 0 0.0 0 1998 No
## 708 0 0.0 0 24.0 33 1999 No
## 709 0 0.0 0 0.0 0 1999 Unspecified
## 710 0 0.0 0 0.0 0 2004 Unspecified
## 711 0 0.0 0 0.0 0 1997 Unspecified
## 712 0 0.0 0 0.0 0 1995 Unspecified
## 713 0 0.0 0 0.0 0 2006 Unspecified
## 714 0 0.0 0 0.0 0 1990 No
## 715 NA 0.0 0 0.0 0 2000 No
## 716 0 0.0 0 0.0 0 2004 Unspecified
## 717 0 0.0 0 0.0 0 2002 No
## 718 0 0.0 0 0.0 0 2004 Yes
## 719 0 0.0 0 0.0 0 2002 Yes
## 720 0 0.0 0 0.0 0 2000 Yes
## 721 0 0.0 0 0.0 0 1995 No
## 722 0 0.0 0 0.0 0 2002 Unspecified
## 723 0 0.0 0 0.0 0 2004 Unspecified
## 724 0 0.0 0 0.0 0 2003 Unspecified
## 725 0 0.0 0 0.0 0 2002 Unspecified
## 726 0 0.0 0 0.0 0 2002 Unspecified
## 727 0 0.0 0 0.0 0 2002 Unspecified
## 728 0 0.0 0 0.0 0 2000 Unspecified
## 729 0 0.0 0 0.0 0 2002 No
## 730 0 0.0 0 0.0 0 2001 Unspecified
## 731 NA 0.0 0 0.0 0 2003 No
## 732 0 0.0 0 0.0 0 1998 No
## 733 NA 37.0 0 0.0 0 1997 Yes
## 734 0 0.0 0 0.0 0 1998 Unspecified
## 735 8 0.0 0 4.0 35 2002 No
## 736 0 0.0 0 0.0 0 2010 Unspecified
## 737 0 0.0 0 0.0 0 2002 Unspecified
## 738 0 0.0 0 0.0 0 1998 No
## 739 0 0.0 0 0.0 0 2002 Unspecified
## 740 0 0.0 0 0.0 0 2003 Unspecified
## 741 0 0.0 0 0.0 0 2005 Unspecified
## 742 0 0.0 0 0.0 0 2006 Unspecified
## 743 0 0.0 0 0.0 0 2010 No
## 744 0 0.0 0 0.0 0 2006 Unspecified
## 745 0 24.0 16 0.0 17 2005 Yes
## 746 0 0.0 0 0.0 0 2010 Yes
## 747 0 0.0 0 0.0 0 2007 No
## 748 0 0.0 0 0.0 34 2004 Unspecified
## 749 0 0.0 0 0.0 0 1999 No
## 750 0 0.0 0 0.0 0 2003 Unspecified
## 751 0 0.0 0 0.0 0 2006 Unspecified
## 752 0 0.0 0 0.0 0 2001 Unspecified
## 753 0 0.0 0 0.0 0 1998 No
## 754 0 0.0 0 0.0 0 2002 No
## 755 0 0.0 0 0.0 0 2005 Unspecified
## 756 0 0.0 0 0.0 0 2010 Yes
## 757 0 0.0 0 0.0 36 2006 Unspecified
## 758 0 0.0 0 0.0 0 2010 No
## 759 0 0.0 0 0.0 0 2006 Unspecified
## 760 0 0.0 0 0.0 0 2006 Unspecified
## 761 2 0.0 0 0.0 0 2002 Unspecified
## 762 0 0.0 0 0.0 0 2001 Unspecified
## 763 0 0.0 0 0.0 0 2004 Unspecified
## 764 0 36.0 0 0.0 0 2007 Unspecified
## 765 NA 0.0 0 36.0 46 1998 Yes
## 766 0 0.0 0 36.0 36 1993 Yes
## 767 0 0.0 0 0.0 0 2009 Unspecified
## 768 0 0.0 0 0.0 0 2009 Unspecified
## 769 0 0.0 0 0.0 0 2010 No
## 770 0 0.0 0 0.0 0 2009 Yes
## 771 NA 0.0 0 0.0 0 2007 Yes
## 772 0 37.0 32 0.0 0 2007 No
## 773 0 67.0 0 0.0 0 2004 Unspecified
## 774 0 0.0 0 0.0 0 2010 Yes
## 775 0 0.0 0 0.0 0 2001 Unspecified
## 776 0 0.0 0 0.0 0 2001 Unspecified
## 777 0 36.0 0 0.0 34 2002 No
## 778 0 0.0 0 0.0 0 2004 No
## 779 0 0.0 0 0.0 0 2001 Unspecified
## 780 2 0.0 0 0.0 0 2008 Unspecified
## 781 0 0.0 0 0.0 0 2005 Unspecified
## 782 0 0.0 0 0.0 0 2003 Yes
## 783 0 0.0 0 0.0 0 2002 No
## 784 0 0.0 0 0.0 0 2006 No
## 785 0 0.0 0 0.0 0 2010 No
## 786 0 0.0 0 0.0 0 2010 Yes
## 787 NA 0.0 0 0.0 0 1999 Yes
## 788 6 0.0 0 0.0 0 2009 No
## 789 2 0.0 7 36.0 65 2002 No
## 790 0 0.0 0 0.0 0 2001 Unspecified
## 791 0 0.0 0 0.0 0 2005 Yes
## 792 0 0.0 0 0.0 0 2001 Unspecified
## 793 26 0.0 0 0.0 0 2002 No
## 794 0 0.0 0 0.0 28 2002 Unspecified
## 795 0 12.0 0 0.0 0 1994 No
## 796 0 0.0 0 0.0 0 2008 Yes
## 797 0 0.0 0 0.0 0 1995 No
## 798 2 0.0 0 0.0 0 2007 Unspecified
## 799 6 0.0 0 0.0 0 2009 No
## 800 0 58.0 0 0.0 0 2006 Unspecified
## 801 0 0.0 0 0.0 0 2007 Unspecified
## 802 0 0.0 0 0.0 0 1995 No
## 803 0 0.0 0 54.0 0 2006 No
## 804 0 0.0 0 0.0 0 2002 No
## 805 0 0.0 0 48.0 34 2003 Unspecified
## 806 0 0.0 0 0.0 0 2010 No
## 807 0 0.0 43 24.0 0 2006 Yes
## 808 1 0.0 0 48.0 0 2001 No
## 809 NA 0.0 0 0.0 0 2003 Yes
## 810 0 0.0 0 0.0 0 1996 No
## 811 0 0.0 0 0.0 0 2005 No
## 812 0 0.0 0 0.0 27 2002 Unspecified
## 813 0 0.0 0 0.0 0 2001 No
## 814 0 0.0 0 0.0 0 2005 Unspecified
## 815 0 0.0 0 0.0 0 2000 Yes
## 816 0 0.0 0 0.0 0 2003 No
## 817 0 0.0 0 0.0 0 2007 Unspecified
## 818 0 0.0 0 0.0 0 2008 No
## 819 10 0.0 0 48.0 31 1993 Unspecified
## 820 NA 0.0 0 24.0 0 1999 Yes
## 821 0 22.0 33 0.0 0 2009 Unspecified
## 822 0 0.0 39 0.0 39 1996 Unspecified
## 823 0 0.0 0 54.0 34 2003 Unspecified
## 824 0 0.0 0 0.0 0 2006 Unspecified
## 825 0 0.0 0 0.0 0 2002 Unspecified
## 826 0 0.0 0 0.0 0 2010 Yes
## 827 0 0.0 0 0.0 0 2005 No
## 828 0 43.0 32 0.0 33 2000 No
## 829 13 0.0 0 0.0 0 2006 No
## 830 0 0.0 0 0.0 0 1998 No
## 831 1 0.0 0 0.0 30 2004 Unspecified
## 832 0 0.0 0 0.0 0 2005 Unspecified
## 833 0 0.0 0 0.0 0 2007 No
## 834 0 29.0 0 0.0 0 2006 Unspecified
## 835 0 0.0 0 0.0 0 2001 Unspecified
## 836 0 44.0 39 0.0 0 2007 No
## 837 0 0.0 0 0.0 0 1995 No
## 838 0 0.0 0 48.0 0 2004 No
## 839 0 0.0 0 48.0 0 2001 No
## 840 0 0.0 0 0.0 0 1994 No
## 841 0 0.0 0 0.0 0 2010 No
## 842 0 0.0 0 0.0 0 2001 No
## 843 0 0.0 0 0.0 0 2002 No
## 844 0 0.0 0 0.0 30 2004 Unspecified
## 845 0 0.0 0 0.0 0 1999 Unspecified
## 846 0 67.0 0 0.0 0 2005 Unspecified
## 847 0 0.0 0 0.0 0 2006 No
## 848 1 0.0 0 0.0 0 2003 No
## 849 0 0.0 0 0.0 0 1996 Unspecified
## 850 0 0.0 0 0.0 0 2003 Unspecified
## 851 0 0.0 0 36.0 31 1993 No
## 852 0 0.0 0 0.0 0 2004 No
## 853 0 0.0 0 0.0 0 2001 No
## 854 NA 0.0 0 0.0 0 2000 Yes
## 855 NA 0.0 0 0.0 0 1999 Yes
## 856 0 48.0 0 0.0 0 2001 Unspecified
## 857 0 0.0 0 0.0 0 2007 No
## 858 40 0.0 0 60.0 0 2007 No
## 859 0 0.0 0 48.0 35 1996 No
## 860 0 0.0 0 0.0 0 2005 Unspecified
## 861 0 0.0 0 0.0 0 2008 Yes
## 862 0 0.0 0 0.0 0 2007 Yes
## 863 0 0.0 0 36.0 0 2007 No
## 864 0 72.0 0 0.0 0 2008 Yes
## 865 0 0.0 0 0.0 0 2004 Unspecified
## 866 0 0.0 0 0.0 0 2006 No
## 867 0 0.0 32 0.0 0 2006 No
## 868 0 0.0 0 0.0 0 2000 No
## 869 0 0.0 0 0.0 0 2005 No
## 870 23 0.0 0 48.0 0 1998 No
## 871 3 0.0 0 0.0 0 1994 No
## 872 3 0.0 30 0.0 0 2002 Yes
## 873 0 0.0 0 0.0 0 2002 Unspecified
## 874 8 0.0 0 48.0 0 2002 Yes
## 875 NA 0.0 0 0.0 0 1994 Yes
## 876 0 0.0 0 24.0 0 2005 Unspecified
## 877 0 48.0 0 48.0 0 2006 Unspecified
## 878 NA 0.0 0 0.0 0 2006 Yes
## 879 0 0.0 0 0.0 0 2007 No
## 880 1 47.0 34 0.0 0 1993 No
## 881 4 0.0 0 0.0 0 1996 No
## 882 10 0.0 0 48.0 0 2008 Unspecified
## 883 0 0.0 0 0.0 0 1999 No
## 884 0 0.0 0 0.0 0 1999 No
## 885 0 0.0 0 24.0 0 2002 Yes
## 886 0 0.0 0 0.0 0 1999 No
## 887 NA 0.0 0 0.0 0 1998 Yes
## 888 0 0.0 0 0.0 0 2002 No
## 889 4 0.0 0 48.0 0 2007 Unspecified
## 890 10 0.0 0 48.0 0 2006 No
## 891 3 0.0 0 37.0 34 1993 Unspecified
## 892 NA 36.0 0 0.0 0 1994 Yes
## 893 0 0.0 0 0.0 34 1999 No
## 894 NA 0.0 0 0.0 0 2008 Yes
## 895 0 0.0 0 0.0 0 2001 No
## 896 2 0.0 48 0.0 48 2004 Yes
## 897 0 0.0 0 0.0 0 2000 No
## 898 NA 0.0 0 0.0 0 2006 Yes
## 899 99 0.0 0 0.0 0 1998 No
## 900 37 0.0 0 0.0 0 2003 No
## 901 0 0.0 0 0.0 0 2006 Unspecified
## 902 0 0.0 0 0.0 0 2006 Yes
## 903 0 55.2 0 48.0 0 2001 Unspecified
## 904 0 0.0 0 48.0 31 2001 No
## 905 0 0.0 0 48.0 36 2007 Yes
## 906 3 0.0 0 32.0 31 2001 Yes
## 907 0 0.0 0 0.0 0 2007 Unspecified
## 908 0 0.0 0 48.0 0 2009 No
## 909 25 0.0 0 0.0 0 2002 Yes
## 910 4 0.0 0 0.0 0 2002 No
## 911 0 41.0 0 0.0 0 1992 Unspecified
## 912 0 0.0 0 0.0 0 1999 No
## 913 54 0.0 0 0.0 0 2004 Unspecified
## 914 2 0.0 0 0.0 0 2002 No
## 915 0 0.0 0 0.0 0 1999 No
## 916 3 0.0 0 48.0 0 2000 No
## 917 5 0.0 0 0.0 0 2000 Yes
## 918 0 0.0 0 0.0 0 2004 Unspecified
## 919 0 0.0 0 0.0 0 2004 Unspecified
## 920 0 0.0 0 0.0 0 2000 No
## 921 0 0.0 0 0.0 0 2002 Unspecified
## 922 0 0.0 0 0.0 0 1995 No
## 923 0 0.0 0 0.0 0 2002 Unspecified
## 924 0 0.0 0 42.0 32 2006 No
## 925 0 0.0 0 0.0 0 2002 Unspecified
## 926 0 0.0 0 0.0 0 2002 Unspecified
## 927 23 0.0 0 0.0 0 2005 No
## 928 0 21.0 0 0.0 0 2007 No
## 929 0 0.0 0 0.0 0 1999 No
## 930 0 0.0 0 0.0 0 1995 No
## 931 0 0.0 36 0.0 0 2006 No
## 932 0 0.0 0 0.0 0 2006 Unspecified
## 933 0 0.0 0 0.0 0 1998 No
## 934 0 0.0 0 0.0 0 2008 Unspecified
## 935 0 58.0 0 0.0 0 2008 Unspecified
## 936 0 0.0 0 0.0 0 2002 Unspecified
## 937 0 0.0 0 0.0 0 2002 Unspecified
## 938 0 273.6 0 235.2 0 2004 No
## 939 0 0.0 31 0.0 0 2003 Yes
## 940 0 0.0 0 0.0 0 2002 Unspecified
## 941 0 0.0 0 0.0 0 2002 Unspecified
## 942 18 0.0 0 0.0 0 2005 No
## 943 0 0.0 0 0.0 0 1996 Unspecified
## 944 NA 0.0 0 0.0 0 2007 Yes
## 945 0 0.0 0 0.0 0 2005 No
## 946 0 0.0 0 0.0 0 2005 No
## 947 21 0.0 0 96.0 0 2004 Unspecified
## 948 0 0.0 0 0.0 0 1998 No
## 949 NA 0.0 0 0.0 0 2008 Yes
## 950 NA 0.0 0 0.0 0 2006 Yes
## 951 0 0.0 0 0.0 0 2007 Unspecified
## 952 NA NA NA NA NA NA <NA>
## RateAll RiskAll season StartMonth Trans1 Vomit
## 1 NA NA Fall 3 Unspecified 0
## 2 NA NA Fall 4 Unspecified 0
## 3 NA NA Fall 4 Unspecified 0
## 4 NA NA Spring 9 Unspecified 0
## 5 NA NA Spring 10 Unspecified 0
## 6 NA NA Spring 11 Unspecified 0
## 7 NA NA Summer 12 Unspecified 0
## 8 NA NA Winter 8 Unspecified 0
## 9 NA NA Winter 11 Unspecified 1
## 10 NA NA Winter 11 Unspecified 1
## 11 NA NA Winter 11 Unspecified 1
## 12 50.0000000 2.00000 Winter 1 Unknown 1
## 13 0.0000000 0.00000 Winter 12 Foodborne 0
## 14 0.0000000 0.00000 Winter 1 Unknown 0
## 15<PHONE_NUMBER> 1.00000 Winter 1 Foodborne 0
## 16<PHONE_NUMBER> 1.00000 Winter 1 Foodborne 0
## 17 NA NA Summer 12 Unspecified 0
## 18 NA NA Fall 4 Unspecified 0
## 19 NA NA Fall 5 Unspecified 0
## 20 NA NA Fall 3 Unspecified 0
## 21 NA NA Fall 4 Unspecified 0
## 22 NA NA Winter 11 Unspecified 1
## 23 NA NA Winter 11 Unspecified 1
## 24 0.0000000 0.00000 Summer 7 Unknown 1
## 25 0.0000000 0.00000 Winter 2 Unspecified 0
## 26<PHONE_NUMBER> 2.00000 Spring 3 Foodborne 1
## 27<PHONE_NUMBER> 2.00000 Winter 2 Unknown 1
## 28<PHONE_NUMBER> 2.00000 Winter 1 Unknown 1
## 29 0.0000000 0.00000 Fall 11 Unknown 1
## 30 0.0000000 0.00000 Winter 1 Unknown 1
## 31 67.0000000 3.00000 Winter 2 Foodborne 0
## 32 16.6666667 12.00000 Winter 2 Unknown 0
## 33<PHONE_NUMBER> 2.00000 Winter 1 Foodborne 0
## 34 40.0000000 5.00000 Spring 4 Unknown 0
## 35 40.0000000 5.00000 Winter 1 Foodborne 0
## 36 66.6666667 3.00000 Fall 11 Unknown 0
## 37<PHONE_NUMBER> 2.00000 Spring 3 Unspecified 0
## 38<PHONE_NUMBER> 2.00000 Winter 2 Unspecified 0
## 39 25.0000000 8.00000 Spring 3 Unknown 0
## 40<PHONE_NUMBER> 2.00000 Winter 2 Foodborne 0
## 41<PHONE_NUMBER> 2.00000 Winter 2 Foodborne 0
## 42<PHONE_NUMBER> 2.00000 Winter 2 Foodborne 0
## 43<PHONE_NUMBER> 2.00000 Winter 1 Foodborne 0
## 44<PHONE_NUMBER> 2.00000 Winter 2 Foodborne 0
## 45 3.5714286 56.00000 Winter 1 Unspecified 1
## 46 2.1052632 95.00000 Winter 1 Unspecified 1
## 47 2.3529412 85.00000 Winter 1 Unspecified 1
## 48 2.5641026 78.00000 Winter 1 Unspecified 1
## 49 2.6315789 76.00000 Winter 1 Unspecified 1
## 50 5.5555556 36.00000 Winter 1 Unspecified 1
## 51 3.6363636 55.00000 Winter 2 Unspecified 1
## 52 6.0606061 33.00000 Winter 2 Unspecified 1
## 53 28.5714286 7.00000 Winter 2 Unspecified 1
## 54 0.0000000 0.00000 Spring 3 Unknown 0
## 55<PHONE_NUMBER> 2.00000 Spring 3 Foodborne 0
## 56 2.1739130 92.00000 Spring 3 Unspecified 1
## 57 5.5555556 36.00000 Spring 3 Unspecified 1
## 58 12.5000000 16.00000 Spring 3 Unspecified 1
## 59 22.2222222 9.00000 Spring 3 Unspecified 1
## 60 0.0000000 0.00000 Spring 5 Foodborne 0
## 61 2.9411765 68.00000 Fall 11 Unspecified 1
## 62 4.1666667 48.00000 Fall 11 Unspecified 1
## 63 1.3793103 145.00000 Winter 12 Unspecified 1
## 64 2.5316456 79.00000 Winter 12 Unspecified 1
## 65 2.7027027 74.00000 Winter 12 Unspecified 1
## 66 3.8461538 52.00000 Winter 12 Unspecified 1
## 67<PHONE_NUMBER> 2.00000 Winter 2 Foodborne 1
## 68<PHONE_NUMBER> 2.00000 Spring 9 Foodborne 1
## 69<PHONE_NUMBER> 2.00000 Spring 11 Foodborne 1
## 70 66.6666667 3.00000 Winter 12 Foodborne 1
## 71 50.0000000 4.00000 Winter 1 Foodborne 1
## 72 NA NA Fall 3 Unspecified 0
## 73 NA NA Winter 8 Unspecified 0
## 74 0.0000000 0.00000 Winter 12 Foodborne 0
## 75 75.0000000 4.00000 Spring 3 Unknown 1
## 76 75.0000000 4.00000 Winter 2 Unknown 1
## 77 0.0000000 0.00000 Winter 12 Unknown 1
## 78 75.0000000 4.00000 Winter 12 Foodborne 0
## 79 0.0000000 0.00000 Winter 2 Unknown 1
## 80 25.0000000 12.00000 Spring 4 Unspecified 0
## 81<PHONE_NUMBER> 3.00000 Winter 1 Foodborne 1
## 82<PHONE_NUMBER> 3.00000 Winter 1 Foodborne 0
## 83 50.0000000 6.00000 Fall 10 Unspecified 0
## 84<PHONE_NUMBER> 3.00000 Spring 5 Unspecified 0
## 85 20.0000000 15.00000 Winter 2 Unknown 0
## 86 50.0000000 6.00000 Spring 3 Foodborne 0
## 87 60.0000000 5.00000 Winter 2 Foodborne 0
## 88<PHONE_NUMBER> 3.00000 Winter 1 Foodborne 0
## 89<PHONE_NUMBER> 3.00000 Winter 2 Foodborne 0
## 90<PHONE_NUMBER> 3.00000 Winter 2 Foodborne 0
## 91<PHONE_NUMBER> 3.00000 Winter 2 Foodborne 0
## 92 0.0000000 0.00000 Winter 2 Foodborne 0
## 93 2.2222222 135.00000 Winter 1 Unspecified 1
## 94 3.9473684 76.00000 Winter 1 Unspecified 1
## 95 9.0909091 33.00000 Winter 1 Unspecified 1
## 96 1.2765957 235.00000 Winter 1 Unspecified 1
## 97 3.5294118 85.00000 Winter 1 Unspecified 1
## 98 2.7272727 110.00000 Winter 2 Unspecified 1
## 99<PHONE_NUMBER> 3.00000 Spring 3 Foodborne 0
## 100 3.1250000 96.00000 Spring 3 Unspecified 1
## 101 3.8461538 78.00000 Fall 11 Unspecified 1
## 102 1.6216216 185.00000 Winter 12 Unspecified 1
##<PHONE_NUMBER>000 3.00000 Summer 7 Foodborne 1
## 104 0.0000000 0.00000 Spring 5 Foodborne 1
## 105 0.0000000 0.00000 Winter 8 Unspecified 0
## 106 4.9180328 61.00000 Winter 1 Unspecified 0
## 107 7.6923077 39.00000 Winter 2 Unknown 1
## 108 0.7537688 398.00000 Spring 3 Unknown 1
## 109 NA NA Fall 3 Unspecified 0
## 110 NA NA Summer 2 Unspecified 0
## 111 NA NA Winter 11 Unspecified 1
## 112 NA NA Winter 11 Unspecified 1
## 113 0.0000000 0.00000 Winter 2 Foodborne 1
## 114 66.6666667 6.00000 Winter 2 Unknown 1
## 115 0.0000000 0.00000 Spring 3 Foodborne 1
## 116 0.0000000 0.00000 Winter 1 Foodborne 1
## 117 0.0000000 0.00000 Winter 2 Foodborne 1
## 118 0.0000000 0.00000 Winter 1 Unspecified 0
## 119 0.0000000 0.00000 Winter 1 Unspecified 0
##<PHONE_NUMBER>000 4.00000 Winter 1 Foodborne 0
## 121 40.0000000 10.00000 Winter 2 Unspecified 0
## 122 0.0000000 0.00000 Winter 2 Unspecified 0
##<PHONE_NUMBER>000 4.00000 Winter 12 Unspecified 0
## 124 80.0000000 5.00000 Winter 12 Unknown 0
## 125 19.0476191 21.00000 Winter 1 Unspecified 1
## 126 16.0000000 25.00000 Spring 3 Unspecified 1
## 127 80.0000000 5.00000 Spring 5 Unknown 0
## 128 4.3478261 92.00000 Winter 12 Unspecified 1
##<PHONE_NUMBER>000 4.00000 Fall 10 Foodborne 1
## 130 3.0000000 132.00000 Spring 4 Foodborne 1
## 131 0.0000000 0.00000 Spring 10 Unspecified 0
## 132 NA NA Fall 4 Unspecified 0
## 133 NA NA Summer 12 Unspecified 0
## 134 NA NA Summer 12 Unspecified 0
## 135 0.0000000 0.00000 Spring 4 Unknown 1
##<PHONE_NUMBER>000 5.00000 Spring 4 Foodborne 0
## 137 50.0000000 10.00000 Spring 3 Unknown 0
## 138 63.0000000 8.00000 Spring 3 Unspecified 0
## 139 17.8571429 28.00000 Fall 9 Foodborne 0
## 140 0.0000000 0.00000 Winter 1 Foodborne 0
## 141 55.5555556 9.00000 Spring 3 Unknown 0
## 142 55.5555556 9.00000 Winter 2 Foodborne 0
##<PHONE_NUMBER>000 5.00000 Winter 2 Foodborne 0
## 144 0.0000000 0.00000 Winter 2 Foodborne 0
## 145 56.0000000 9.00000 Summer 6 Foodborne 0
## 146 0.0000000 0.00000 Winter 12 Foodborne 0
## 147 NA NA Winter 1 Person to Person 0
## 148 3.7878788 132.00000 Winter 12 Unspecified 1
## 149 3.2051282 156.00000 Winter 1 Unspecified 1
## 150 3.0864198 162.00000 Winter 2 Unspecified 1
## 151 0.0000000 0.00000 Summer 6 Unspecified 1
## 152 83.3000000 6.00000 Summer 12 Foodborne 1
## 153 31.3000000 16.00000 Summer 12 Foodborne 1
## 154 38.5000000 13.00000 Summer 12 Foodborne 1
## 155 0.0000000 0.00000 Fall 9 Foodborne 0
## 156 0.0000000 0.00000 Spring 5 Environmental 1
## 157 0.0000000 0.00000 Winter 1 Unspecified 1
## 158 NA NA Summer 2 Unspecified 0
## 159 NA NA Winter 11 Unspecified 1
## 160 0.0000000 0.00000 Winter 1 Unknown 1
## 161 31.5789474 19.00000 Winter 2 Foodborne 1
## 162 12.0000000 49.00000 Winter 2 Unspecified 0
## 163 0.0000000 0.00000 Winter 12 Foodborne 0
## 164 18.0000000 34.00000 Spring 3 Foodborne 0
## 165 86.0000000 7.00000 Winter 12 Unspecified 0
## 166 0.0000000 0.00000 Winter 2 Person to Person 0
## 167 37.5000000 16.00000 Fall 11 Foodborne 0
##<PHONE_NUMBER>000 6.00000 Spring 5 Unspecified 0
## 169 40.0000000 15.00000 Winter 2 Unknown 0
## 170 43.0000000 14.00000 Winter 12 Unspecified 0
## 171 60.0000000 10.00000 Winter 2 Unspecified 0
##<PHONE_NUMBER>000 6.00000 Winter 2 Foodborne 0
## 173 NA NA Winter 1 Person to Person 0
## 174 7.0588235 85.00000 Winter 1 Unspecified 1
## 175 16.6666667 36.00000 Winter 1 Unspecified 1
## 176 5.9405941 101.00000 Winter 2 Unspecified 1
## 177 6.1224490 98.00000 Winter 2 Unspecified 1
## 178 4.8780488 123.00000 Winter 2 Unspecified 1
## 179 42.8571429 14.00000 Spring 4 Foodborne 0
## 180 NA NA Winter 12 Unspecified 1
## 181 1.5584416 385.00000 Winter 12 Unspecified 1
## 182 7.0588235 85.00000 Winter 12 Unspecified 1
## 183 0.0000000 0.00000 Winter 2 Foodborne 0
## 184 0.0000000 0.00000 Winter 2 Foodborne 0
## 185 75.0000000 8.00000 Fall 11 Foodborne 1
## 186 0.0000000 0.00000 Spring 9 Unspecified 0
## 187 7.5000000 80.00000 Winter 12 Unspecified 0
## 188 70.0000000 10.00000 Winter 1 Foodborne 1
## 189 0.0000000 0.00000 Spring 3 Foodborne 0
## 190 0.0000000 0.00000 Winter 2 Unspecified 0
## 191 0.0000000 0.00000 Winter 1 Unknown 0
## 192 78.0000000 9.00000 Winter 1 Foodborne 0
## 193 41.0000000 17.00000 Spring 4 Foodborne 0
## 194 70.0000000 10.00000 Winter 1 Foodborne 0
## 195 39.0000000 18.00000 Winter 1 Foodborne 0
## 196 47.0000000 15.00000 Winter 1 Foodborne 0
## 197 NA NA Winter 12 Unspecified 1
## 198 8.9743590 78.00000 Winter 12 Unspecified 1
## 199 0.0000000 0.00000 Spring 3 Unspecified 1
## 200 0.0000000 0.00000 Winter 8 Unspecified 0
## 201 53.8461539 13.00000 Fall 10 Environmental 1
## 202 19.0000000 NA Spring 4 Person to Person 1
## 203 0.0000000 0.00000 Winter 1 Foodborne 1
## 204 0.0000000 0.00000 Winter 1 Foodborne 1
## 205 61.5384615 13.00000 Spring 3 Foodborne 1
##<PHONE_NUMBER>000 8.00000 Winter 12 Foodborne 0
## 207 57.0000000 14.00000 Winter 12 Foodborne 0
## 208 0.0000000 0.00000 Winter 2 Foodborne 0
## 209 11.7647059 68.00000 Winter 1 Unspecified 1
## 210 19.5121951 41.00000 Winter 2 Unspecified 1
## 211 19.5121951 41.00000 Winter 2 Unspecified 1
## 212 NA NA Winter 12 Unspecified 1
## 213 13.5593220 59.00000 Winter 12 Unspecified 1
## 214 0.0000000 0.00000 Spring 3 Unspecified 0
## 215 24.2000000 33.00000 Summer 12 Foodborne 1
## 216 18.2000000 44.00000 Summer 12 Foodborne 1
##<PHONE_NUMBER>000 8.00000 Summer 8 Foodborne 1
## 218 20.0000000 40.00000 Winter 1 Foodborne 1
## 219 0.0000000 0.00000 Summer 8 Person to Person 1
## 220 11.1111111 72.00000 Fall 10 Unspecified 0
## 221 11.2676056 71.00000 Fall 11 Unspecified 0
## 222 0.0000000 0.00000 Summer 8 Person to Person 1
## 223 44.4444444 18.00000 Winter 1 Foodborne 1
## 224 0.0000000 0.00000 Winter 1 Foodborne 1
## 225 52.9411765 17.00000 Winter 1 Unknown 0
## 226 0.0000000 0.00000 Winter 12 Foodborne 0
## 227 69.0000000 13.00000 Fall 11 Foodborne 0
## 228 31.0344828 29.00000 Winter 12 Foodborne 0
## 229 NA NA Winter 1 Person to Person 0
## 230 13.8461539 65.00000 Winter 1 Unspecified 1
## 231 75.0000000 12.00000 Spring 3 Foodborne 0
## 232 13.8461539 65.00000 Winter 12 Unspecified 1
## 233 0.0000000 0.00000 Fall 10 Foodborne 0
## 234 0.0000000 0.00000 Spring 3 Foodborne 0
## 235 0.0000000 0.00000 Spring 3 Foodborne 0
## 236 0.0000000 0.00000 Summer 8 Foodborne 0
## 237 75.0000000 12.00000 Winter 12 Foodborne 1
## 238 6.2937063 143.00000 Winter 1 Unknown 0
## 239 0.0000000 0.00000 Winter 2 Unspecified 0
## 240 29.0000000 35.00000 Winter 12 Foodborne 0
## 241 91.0000000 11.00000 Spring 3 Unspecified 0
## 242 90.9090909 11.00000 Winter 1 Foodborne 0
## 243 83.0000000 12.00000 Winter 1 Unspecified 0
## 244 76.9230769 13.00000 Winter 1 Unknown 0
## 245 NA NA Spring 3 Person to Person 0
## 246 8.2644628 121.00000 Winter 1 Unspecified 1
## 247 0.0000000 0.00000 Spring 4 Foodborne 0
## 248 83.3333333 12.00000 Fall 11 Foodborne 1
## 249 0.0000000 0.00000 Winter 1 Foodborne 0
## 250 76.9230769 13.00000 Summer 7 Foodborne 1
## 251 9.6153846 104.00000 Winter 12 Unspecified 0
## 252 12.5000000 80.00000 Winter 12 Unspecified 0
## 253 12.9870130 77.00000 Winter 12 Unspecified 0
## 254 61.1111111 18.00000 Winter 1 Foodborne 1
## 255 0.0000000 0.00000 Winter 1 Foodborne 1
## 256 73.0000000 15.00000 Winter 12 Unspecified 0
## 257 79.0000000 14.00000 Winter 12 Foodborne 0
## 258 65.0000000 17.00000 Winter 12 Foodborne 0
## 259 22.0000000 50.00000 Spring 3 Unknown 0
## 260 0.0000000 0.00000 Spring 3 Foodborne 0
## 261 NA NA Winter 2 Person to Person 0
## 262 0.0000000 0.00000 Spring 5 Person to Person 0
## 263 61.1111111 18.00000 Winter 12 Unspecified 1
## 264 9.8214286 112.00000 Fall 10 Environmental 0
## 265 52.3809524 21.00000 Winter 2 Foodborne 1
## 266 84.6153846 13.00000 Winter 2 Environmental 0
## 267 0.0000000 0.00000 Fall 3 Unspecified 0
## 268 17.7419355 62.00000 Winter 1 Unspecified 0
## 269 0.0000000 0.00000 Fall 11 Unspecified 0
## 270 7.1895425 153.00000 Fall 11 Person to Person 1
## 271 48.0000000 23.00000 Summer 7 Foodborne 0
## 272 32.0000000 37.00000 Winter 1 Unspecified 0
## 273 35.0000000 34.00000 Spring 5 Unspecified 0
## 274 54.5454546 22.00000 Winter 12 Foodborne 0
## 275 33.0000000 36.00000 Winter 2 Unspecified 0
## 276 52.0000000 23.00000 Fall 11 Foodborne 0
## 277 52.0000000 23.00000 Winter 12 Unspecified 0
## 278 63.0000000 19.00000 Spring 4 Foodborne 0
## 279 NA NA Winter 2 Unspecified 0
## 280 60.0000000 20.00000 Spring 3 Foodborne 0
## 281 60.0000000 20.00000 Fall 10 Unspecified 0
## 282 0.0000000 0.00000 Spring 3 Foodborne 0
## 283 0.0000000 0.00000 Summer 8 Unspecified 0
## 284 85.7142857 14.00000 Spring 4 Foodborne 1
## 285 0.0000000 0.00000 Summer 6 Unspecified 0
## 286 0.0000000 0.00000 Spring 4 Unspecified 0
## 287 19.3548387 62.00000 Winter 12 Unspecified 0
## 288 68.0000000 19.00000 Winter 12 Unspecified 0
## 289 0.0000000 0.00000 Winter 2 Foodborne 0
## 290 34.0000000 38.00000 Spring 4 Unspecified 0
## 291 45.0000000 29.00000 Winter 1 Foodborne 0
## 292 87.0000000 15.00000 Winter 12 Unspecified 0
## 293 NA NA Spring 4 Person to Person 0
## 294 30.9523809 42.00000 Winter 1 Unspecified 1
## 295 28.8888889 45.00000 Summer 7 Environmental 0
## 296 92.8571429 14.00000 Summer 8 Environmental 0
## 297 48.1481481 27.00000 Winter 7 Unspecified 1
## 298 0.0000000 0.00000 Summer 8 Foodborne 0
## 299 22.4137931 58.00000 Winter 1 Unknown 0
## 300 24.0740741 54.00000 Fall 11 Unspecified 0
## 301 0.0000000 0.00000 Fall 11 Unspecified 0
## 302 0.0000000 0.00000 Summer 6 Unspecified 1
## 303 56.0000000 25.00000 Spring 3 Foodborne 1
## 304 0.0000000 0.00000 Spring 3 Unknown 1
## 305 42.0000000 33.00000 Spring 4 Unspecified 0
## 306 58.0000000 24.00000 Spring 3 Foodborne 0
## 307 26.4150943 53.00000 Summer 8 Environmental 1
## 308 0.0000000 0.00000 Spring 3 Foodborne 0
## 309 77.7777778 18.00000 Winter 2 Foodborne 1
## 310 20.0000000 70.00000 Winter 1 Unspecified 0
## 311 0.0000000 0.00000 Spring 3 Foodborne 1
## 312 0.0000000 0.00000 Fall 10 Unspecified 0
## 313 0.0000000 0.00000 Fall 10 Unspecified 0
## 314 0.0000000 0.00000 Fall 10 Unspecified 0
## 315 21.5384615 65.00000 Fall 11 Unspecified 0
## 316 0.0000000 0.00000 Fall 11 Unspecified 0
## 317 0.5055977 2769.00000 Spring 5 Person to Person 0
## 318 0.0000000 0.00000 Winter 1 Foodborne 1
## 319 56.0000000 27.00000 Winter 12 Unspecified 0
##<PHONE_NUMBER>000 15.00000 Winter 12 Foodborne 0
## 321 28.0000000 53.00000 Spring 3 Foodborne 0
## 322 75.0000000 20.00000 Winter 1 Foodborne 0
## 323 0.0000000 0.00000 Fall 11 Unspecified 1
## 324 0.0000000 0.00000 Spring 3 Unspecified 0
## 325 0.0000000 0.00000 Fall 10 Foodborne 0
## 326 0.0000000 0.00000 Spring 3 Foodborne 0
## 327 0.0000000 0.00000 Summer 7 Foodborne 1
## 328 0.0000000 0.00000 Winter 2 Unspecified 0
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