# Importing the packages and reading the data set
library(readr)
library(tidyverse)
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr 1.1.2 ✔ purrr 1.0.2
## ✔ forcats 1.0.0 ✔ stringr 1.5.0
## ✔ ggplot2 3.4.3 ✔ tibble 3.2.1
## ✔ lubridate 1.9.2 ✔ tidyr 1.3.0
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
library(dplyr)
my_data <- read_delim("C:/Users/user/Documents/Statistics/Telangana_2018_complete_weather_data.csv",delim=",")
## Rows: 230384 Columns: 10
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (4): District, Mandal, Location, Date
## dbl (6): row_id, temp_min, temp_max, humidity_min, humidity_max, wind_speed
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
# collecting 5 random subsamples of data
total_rows <- nrow(my_data)
sample_size <- round(0.5 * total_rows)
set.seed(1)
rand_sample_1<-sample(1:total_rows,sample_size,replace=T)
set.seed(3)
rand_sample_2<-sample(1:total_rows,sample_size,replace=T)
set.seed(5)
rand_sample_3<-sample(1:total_rows,sample_size,replace=T)
set.seed(7)
rand_sample_4<-sample(1:total_rows,sample_size,replace=T)
set.seed(9)
rand_sample_5<-sample(1:total_rows,sample_size,replace=T)
df_1<- data.frame(my_data[rand_sample_1,])
df_2<- data.frame(my_data[rand_sample_2,])
df_3<- data.frame(my_data[rand_sample_3,])
df_4<- data.frame(my_data[rand_sample_4,])
df_5<- data.frame(my_data[rand_sample_5,])
view(df_1)
view(df_2)
view(df_3)
view(df_4)
view(df_5)
#summarising and performing min,max,mean,median,sd,IQR on each coulumn of df_1
summary_df_1 <- df_1 |>
summarise(min_temp_min=min(temp_min),
max_temp_min=max(temp_min),
mean_temp_min=mean(temp_min),
median_temp_min=median(temp_min),
sd_temp_min=sd(temp_min),
IQR_temp_min=IQR(temp_min),
min_temp_max=min(temp_max),
max_temp_max=max(temp_max),
mean_temp_max=mean(temp_max),
median_temp_max=median(temp_max),
sd_temp_max=sd(temp_max),
IQR_temp_max=IQR(temp_max),
min_humidity_min=min(humidity_min),
max_humidity_min=max(humidity_min),
mean_humidity_min=mean(humidity_min),
median_humidity_min=median(humidity_min),
sd_humidity_min=sd(humidity_min),
IQR_humidity_min=IQR(humidity_min),
min_humidity_max=min(humidity_max),
max_humidity_max=max(humidity_max),
mean_humidity_max=mean(humidity_max),
median_humidity_max=median(humidity_max),
sd_humidity_max=sd(humidity_max),
IQR_humidity_max=IQR(humidity_max),
min_wind_speed=min( wind_speed),
max_wind_speed=max( wind_speed),
mean_wind_speed=mean( wind_speed),
median_wind_speed=median( wind_speed),
sd_wind_speed=sd( wind_speed),
IQR_wind_speed=IQR( wind_speed))
#summarising and performing min,max,mean,median,sd,IQR on each coulumn of df_2
summary_df_2 <- df_2 |>
summarise(min_temp_min=min(temp_min),
max_temp_min=max(temp_min),
mean_temp_min=mean(temp_min),
median_temp_min=median(temp_min),
sd_temp_min=sd(temp_min),
IQR_temp_min=IQR(temp_min),
min_temp_max=min(temp_max),
max_temp_max=max(temp_max),
mean_temp_max=mean(temp_max),
median_temp_max=median(temp_max),
sd_temp_max=sd(temp_max),
IQR_temp_max=IQR(temp_max),
min_humidity_min=min(humidity_min),
max_humidity_min=max(humidity_min),
mean_humidity_min=mean(humidity_min),
median_humidity_min=median(humidity_min),
sd_humidity_min=sd(humidity_min),
IQR_humidity_min=IQR(humidity_min),
min_humidity_max=min(humidity_max),
max_humidity_max=max(humidity_max),
mean_humidity_max=mean(humidity_max),
median_humidity_max=median(humidity_max),
sd_humidity_max=sd(humidity_max),
IQR_humidity_max=IQR(humidity_max),
min_wind_speed=min( wind_speed),
max_wind_speed=max( wind_speed),
mean_wind_speed=mean( wind_speed),
median_wind_speed=median( wind_speed),
sd_wind_speed=sd( wind_speed),
IQR_wind_speed=IQR( wind_speed))
#summarising and performing min,max,mean,median,sd,IQR on each coulumn of df_3
summary_df_3 <- df_3 |>
summarise(min_temp_min=min(temp_min),
max_temp_min=max(temp_min),
mean_temp_min=mean(temp_min),
median_temp_min=median(temp_min),
sd_temp_min=sd(temp_min),
IQR_temp_min=IQR(temp_min),
min_temp_max=min(temp_max),
max_temp_max=max(temp_max),
mean_temp_max=mean(temp_max),
median_temp_max=median(temp_max),
sd_temp_max=sd(temp_max),
IQR_temp_max=IQR(temp_max),
min_humidity_min=min(humidity_min),
max_humidity_min=max(humidity_min),
mean_humidity_min=mean(humidity_min),
median_humidity_min=median(humidity_min),
sd_humidity_min=sd(humidity_min),
IQR_humidity_min=IQR(humidity_min),
min_humidity_max=min(humidity_max),
max_humidity_max=max(humidity_max),
mean_humidity_max=mean(humidity_max),
median_humidity_max=median(humidity_max),
sd_humidity_max=sd(humidity_max),
IQR_humidity_max=IQR(humidity_max),
min_wind_speed=min( wind_speed),
max_wind_speed=max( wind_speed),
mean_wind_speed=mean( wind_speed),
median_wind_speed=median( wind_speed),
sd_wind_speed=sd( wind_speed),
IQR_wind_speed=IQR( wind_speed))
# summarising and performing min,max,mean,median,sd,IQR on each coulumn of df_4
summary_df_4 <- df_4 |>
summarise(min_temp_min=min(temp_min),
max_temp_min=max(temp_min),
mean_temp_min=mean(temp_min),
median_temp_min=median(temp_min),
sd_temp_min=sd(temp_min),
IQR_temp_min=IQR(temp_min),
min_temp_max=min(temp_max),
max_temp_max=max(temp_max),
mean_temp_max=mean(temp_max),
median_temp_max=median(temp_max),
sd_temp_max=sd(temp_max),
IQR_temp_max=IQR(temp_max),
min_humidity_min=min(humidity_min),
max_humidity_min=max(humidity_min),
mean_humidity_min=mean(humidity_min),
median_humidity_min=median(humidity_min),
sd_humidity_min=sd(humidity_min),
IQR_humidity_min=IQR(humidity_min),
min_humidity_max=min(humidity_max),
max_humidity_max=max(humidity_max),
mean_humidity_max=mean(humidity_max),
median_humidity_max=median(humidity_max),
sd_humidity_max=sd(humidity_max),
IQR_humidity_max=IQR(humidity_max),
min_wind_speed=min( wind_speed),
max_wind_speed=max( wind_speed),
mean_wind_speed=mean( wind_speed),
median_wind_speed=median( wind_speed),
sd_wind_speed=sd( wind_speed),
IQR_wind_speed=IQR( wind_speed))
# summarising and performing min,max,mean,median,sd,IQR on each coulumn of df_5
summary_df_5 <- df_5 |>
summarise(min_temp_min=min(temp_min),
max_temp_min=max(temp_min),
mean_temp_min=mean(temp_min),
median_temp_min=median(temp_min),
sd_temp_min=sd(temp_min),
IQR_temp_min=IQR(temp_min),
min_temp_max=min(temp_max),
max_temp_max=max(temp_max),
mean_temp_max=mean(temp_max),
median_temp_max=median(temp_max),
sd_temp_max=sd(temp_max),
IQR_temp_max=IQR(temp_max),
min_humidity_min=min(humidity_min),
max_humidity_min=max(humidity_min),
mean_humidity_min=mean(humidity_min),
median_humidity_min=median(humidity_min),
sd_humidity_min=sd(humidity_min),
IQR_humidity_min=IQR(humidity_min),
min_humidity_max=min(humidity_max),
max_humidity_max=max(humidity_max),
mean_humidity_max=mean(humidity_max),
median_humidity_max=median(humidity_max),
sd_humidity_max=sd(humidity_max),
IQR_humidity_max=IQR(humidity_max),
min_wind_speed=min( wind_speed),
max_wind_speed=max( wind_speed),
mean_wind_speed=mean( wind_speed),
median_wind_speed=median( wind_speed),
sd_wind_speed=sd( wind_speed),
IQR_wind_speed=IQR( wind_speed))
# concatenating the summaries of all subsamples
summaries_df <- rbind(summary_df_1, summary_df_2, summary_df_3, summary_df_4, summary_df_5)
view(summaries_df)
I collected random samples of data and performed statistical
operations on all subsamples.The summaries of all subsamples are
concatenated into a dataframe.After examining the summaries of all
subsamples ,most of the output values of min,max,mean,IQR are similar
whereas the median values are same for all subsamples.
# visualizing temp_min across all the subsamples
boxplot(df_1$temp_min,df_2$temp_min,df_3$temp_min,df_4$temp_min,df_5$temp_min,
names = c("Subsample 1", "Subsample 2", "Subsample 3", "Subsample 4","Subsample 5"),
main = "Comparison of temp_min Across Subsamples",
ylab = "Temperature (temp_min)",
col=c("skyblue","pink","brown","gold","magenta"),
border="black"
)
# visualizing temp_max across all the subsamples
boxplot(df_1$temp_max,df_2$temp_max,df_3$temp_max,df_4$temp_max,df_5$temp_max,
names = c("Subsample 1", "Subsample 2", "Subsample 3", "Subsample 4","Subsample 5"),
main = "Comparison of temp_max Across Subsamples",
ylab = "Temperature (temp_max)",
col=c("red","blue","green","purple","orange"),
border="black"
)
#visualizing humidity_min across all the subsamples
par(mfrow = c(2, 3))
hist(df_1$humidity_min, main = " Subsample 1", xlab = "Humidity (humidity_min)", col = "red")
hist(df_2$humidity_min, main = " Subsample 2", xlab = "Humidity (humidity_min)", col = "blue")
hist(df_3$humidity_min, main = " Subsample 3", xlab = "Humidity (humidity_min)", col = "green")
hist(df_4$humidity_min, main = " Subsample 4", xlab = "Humidity (humidity_min)", col = "purple")
hist(df_5$humidity_min, main = " Subsample 5", xlab = "Humidity (humidity_min)", col = "orange")
#visualizing humidity_max across all the subsamples
par(mfrow = c(2, 3))
hist(df_1$humidity_max, main = " Subsample 1", xlab = "Humidity (humidity_max)", col = "skyblue")
hist(df_2$humidity_max, main = " Subsample 2", xlab = "Humidity (humidity_max)", col = "pink")
hist(df_3$humidity_max, main = " Subsample 3", xlab = "Humidity (humidity_max)", col = "brown")
hist(df_4$humidity_max, main = " Subsample 4", xlab = "Humidity (humidity_max)", col = "gold")
hist(df_5$humidity_max, main = " Subsample 5", xlab = "Humidity (humidity_max)", col = "magenta")
#visualizing wind_speed across all the subsamples
par(mfrow = c(2, 3))
plot(density(df_1$wind_speed), main = "wind_speed (Subsample 1)", col = "red")
plot(density(df_2$wind_speed), main = "wind_speed (Subsample 2)", col = "skyblue")
plot(density(df_3$wind_speed), main = "wind_speed (Subsample 3)", col = "pink")
plot(density(df_4$wind_speed), main = "wind_speed (Subsample 4)", col = "purple")
plot(density(df_5$wind_speed), main = "wind_speed (Subsample 5)", col = "gold")
Finding Anomalies in all subsamples
# finding anomalies of temp_min in all subsamples
Q1 <- quantile(df_1$temp_min, 0.25)
Q3 <- quantile(df_1$temp_min, 0.75)
IQR_value <- Q3 - Q1
lower_bound <- Q1 - 1.5 * IQR_value
upper_bound <- Q3 + 1.5 * IQR_value
df_1_anomalies_temp_min <-df_1$temp_min[df_1$temp_min < lower_bound |df_1$temp_min > upper_bound]
Q1 <- quantile(df_2$temp_min, 0.25)
Q3 <- quantile(df_2$temp_min, 0.75)
IQR_value <- Q3 - Q1
lower_bound <- Q1 - 1.5 * IQR_value
upper_bound <- Q3 + 1.5 * IQR_value
df_2_anomalies_temp_min <-df_2$temp_min[df_2$temp_min < lower_bound |df_2$temp_min > upper_bound]
Q1 <- quantile(df_3$temp_min, 0.25)
Q3 <- quantile(df_3$temp_min, 0.75)
IQR_value <- Q3 - Q1
lower_bound <- Q1 - 1.5 * IQR_value
upper_bound <- Q3 + 1.5 * IQR_value
df_3_anomalies_temp_min<-df_3$temp_min[df_3$temp_min < lower_bound |df_3$temp_min > upper_bound]
Q1 <- quantile(df_4$temp_min, 0.25)
Q3 <- quantile(df_4$temp_min, 0.75)
IQR_value <- Q3 - Q1
lower_bound <- Q1 - 1.5 * IQR_value
upper_bound <- Q3 + 1.5 * IQR_value
df_4_anomalies_temp_min <-df_4$temp_min[df_4$temp_min < lower_bound |df_4$temp_min > upper_bound]
Q1 <- quantile(df_5$temp_min, 0.25)
Q3 <- quantile(df_5$temp_min, 0.75)
IQR_value <- Q3 - Q1
lower_bound <- Q1 - 1.5 * IQR_value
upper_bound <- Q3 + 1.5 * IQR_value
df_5_anomalies_temp_min <-df_5$temp_min[df_5$temp_min < lower_bound |df_5$temp_min > upper_bound]
print(df_1_anomalies_temp_min)
## [1] 11.3 12.2 11.6 10.1 11.6 12.0 12.1 11.5 11.3 12.2 11.8 33.3 12.1 11.4
## [15] 11.0 10.5 12.3 12.3 11.6 12.2 10.3 12.1 8.3 9.4 10.7 10.7 12.3 12.1
## [29] 10.8 10.3 10.7 10.4 10.3 12.1 12.2 12.1 12.1 10.3 12.0 12.3 9.9 10.2
## [43] 10.4 11.2 11.6 11.5 12.1 12.2 10.6 8.0 11.9 12.3 10.8 11.9 11.0 33.8
## [57] 11.7 8.5 9.1 7.6 11.0 9.9 11.3 12.3 11.7 11.6 11.7 12.0 11.4 10.1
## [71] 12.3 9.6 11.8 11.6 12.1 10.1 12.1 12.2 11.1 11.0 9.9 9.8 12.0 9.2
## [85] 11.7 10.4 12.1 12.2 11.2 10.3 10.6 11.9 9.6 10.6 11.4 11.8 11.7 10.6
## [99] 11.3 9.5 9.9 10.5 11.1 12.1 11.1 11.8 12.2 9.5 12.0 10.3 12.0 11.2
## [113] 12.1 12.1 11.6 12.1 11.4 11.2 10.0 11.4 11.9 12.3 11.9 11.2 10.3 11.5
## [127] 9.7 11.1 11.2 11.4 12.3 9.7 10.5 11.5 11.1 11.5 12.1 11.0 11.5 12.1
## [141] 11.9 11.1 6.8 10.5 12.2 12.3 12.0 11.6 11.6 11.3 11.1 12.3 9.0 9.4
## [155] 11.2 10.6 8.7 10.9 10.2 12.3 11.6 12.2 9.6 8.3 10.0 12.1 10.1 10.7
## [169] 11.9 11.4 11.1 12.1 10.2 11.8 11.9 12.3 12.3 12.1 12.0 11.6 12.3 10.4
## [183] 12.2 9.7 12.3 10.9 11.7 9.7 10.8 12.1 12.1 11.8 11.0 10.9 12.3 9.4
## [197] 10.6 12.0 11.4 11.7 12.3 10.9 11.3 10.8 11.3 12.1 11.5 11.7 9.7 7.1
## [211] 11.5 11.7 12.2 10.4 12.2 8.7 11.6 12.2 11.2 11.6 10.8 11.9 9.7 10.7
## [225] 11.0 11.5 10.2 11.0 11.8 10.7 11.1 11.0 6.6 11.5 11.7 12.2 11.6 11.7
## [239] 11.2 10.0 9.1 11.3 9.8 11.1 10.0 10.5 10.2 11.0 11.4 11.6 11.5 11.9
## [253] 12.3 10.3 10.9 11.9 10.3 11.3 11.5 9.5 11.1 10.3 9.6 12.0 10.1 11.8
## [267] 10.7 10.9 11.9 12.1 10.6 12.0 11.5 11.4 8.8 10.5 12.3 10.6 8.6 11.5
## [281] 11.3 12.1 12.0 10.6 9.7 11.3 10.6 12.0 8.2 12.0 10.1 12.2 9.2 10.3
## [295] 11.8 12.2 10.7 10.8 9.4 11.9 12.1 11.0 11.9 10.6 10.6 10.8 11.0 11.9
## [309] 10.6 11.0 11.3 11.9 10.7 11.7 11.9 12.1 12.1 11.6 34.6 11.8 10.3 12.2
## [323] 10.0 9.7 10.3 12.3 10.9 12.3 11.6 11.4 12.1 11.5 11.3 12.3 11.8 11.1
## [337] 11.1 10.5 12.3 11.3 11.6 11.2 12.3 11.0 11.6 12.1 12.0 12.2 11.2 10.7
## [351] 10.4 10.4 11.9 9.5 10.7 11.8 12.0 11.6 11.5 10.1 12.3 11.6 11.2 11.1
## [365] 10.0 11.6 12.1 9.7 12.3 10.3 12.2 9.6 11.2 11.6 11.0 11.6 11.7 12.0
## [379] 9.4 11.4 10.9 10.8 10.0 10.1 12.3 8.3 12.3 11.5 9.1 10.1 12.0 11.7
## [393] 9.4 10.7 10.9 11.5 12.3 9.2 10.9 11.5 12.3 10.5 9.5 9.2 11.7 9.4
## [407] 11.0 9.9 12.0 12.2 33.3 10.3 9.8 11.7 11.9 11.8 11.3 12.0 11.8 10.9
## [421] 12.2 12.3 10.6 11.0 12.0 10.8 11.3 10.8 11.8 12.1 11.6 12.3 10.0 12.2
## [435] 11.8 12.0 10.6 11.8 10.4 11.8 8.8 9.2 9.2 11.1 11.0 12.3 12.0 12.2
## [449] 12.3 11.8 11.7 11.9 10.2 11.8 11.5 12.2 10.3 8.4 12.2 11.6 11.5 12.2
## [463] 12.1 11.8 11.7 12.2 11.9 11.5 11.6 11.5 10.7 12.2 11.1 11.7 11.8 11.5
## [477] 11.7 11.0 10.0 10.9 12.1 11.3 10.2 9.8 11.8 12.2 11.9 11.2 11.4 12.2
## [491] 9.9 12.1 11.7 11.0 10.3 11.7 12.0 11.4 10.3 12.3 11.0 11.4 11.6 11.4
## [505] 9.7 11.7 12.2 11.4 12.1 10.6 11.4 10.0 11.6 10.0 12.3 11.6 9.4 11.3
## [519] 12.2 12.1 9.3 11.8 9.4 9.9 11.8 12.0 9.7 11.6 9.6 12.2 12.3 11.1
## [533] 11.3 11.5 12.0 12.0 8.6 10.4 11.1 11.2 10.0 11.0 10.5 11.6 10.4 8.6
## [547] 11.9 10.6 11.0 11.4 10.9 10.4 11.5 12.1 11.9 9.9 11.3 11.8 12.1 11.7
## [561] 12.2 11.9 11.7 33.2 12.2 12.3 11.6 11.9 11.5 10.8 11.2 11.1 11.4 12.2
## [575] 12.3 11.8 10.3 11.5 11.7 10.5 9.8 10.8 12.0 12.2 11.6 10.6 10.4 9.5
## [589] 12.1 11.5 10.6 11.9 12.0 10.6 12.0 11.7 10.5 9.1 9.2 10.6 10.5 10.5
## [603] 11.2 12.1 11.2 11.8 10.2 10.4 11.3 11.1 10.5 11.6 10.3 10.7 9.9 8.7
## [617] 10.7 10.8 11.5 11.2 11.6 11.8 9.9 11.4 10.6 12.2 11.6 12.0 11.0 10.7
## [631] 10.6 11.6 10.0 10.3 11.7 9.7 10.9 11.9 10.5 12.1 10.9 11.2 11.2 9.7
## [645] 11.6 12.2 12.3 9.7 12.1 11.1 11.3 10.3 11.0 9.8 11.9 12.3 11.7 11.2
## [659] 9.0 11.3 9.4 12.2 9.8 10.0 8.0 10.4 11.2 10.3 11.8 11.5 12.0 12.1
## [673] 12.3 10.5 12.3 10.9 9.7 9.6 12.1 10.5 12.0 10.8 11.1 11.3 11.1 10.6
## [687] 9.8 12.2 9.7 8.4 11.4 12.3 8.7 9.7 7.3 11.6 11.8 11.8 11.5 12.0
## [701] 8.3 11.0 11.4 11.9 10.3 12.0 11.5 11.4 10.9 11.6 11.9 9.8 9.6 9.5
## [715] 11.7 11.8 12.1 11.4 11.7 9.8 11.2 11.3 11.2 10.8 12.1 7.6 11.2 9.9
## [729] 12.2 11.1 12.2 9.7 12.0 11.2 12.0 9.9 9.8 10.5 12.3 10.8 11.3 10.7
## [743] 12.1 10.8 9.9 11.1 11.0 11.0 11.0 11.3 11.4 12.0 10.9 11.3 10.9 12.1
## [757] 12.1 12.3 12.3 11.7 12.2 10.0 8.8 12.1 12.1 7.7 10.8 12.3 10.3 9.8
## [771] 11.7 12.2 11.9 10.9 10.5 11.2 11.0 12.2 11.7 12.0 11.8 12.1 12.1 8.5
## [785] 8.4 9.9 10.1 11.2 12.3 12.2 9.7 11.8 11.4 12.1 10.1 11.1 11.0 12.1
## [799] 9.1 10.2 11.9 12.1 11.5 12.2 11.1 12.3 11.5 12.3 9.7 12.2 12.3 10.8
## [813] 33.3 9.8 11.0 11.1 12.2 12.1 11.7 11.6 11.0 9.9 12.1 7.8 12.2 10.2
## [827] 11.6 11.6 10.2 12.3 6.5 10.5 10.6 12.1 10.4 11.7 11.9 10.4 8.0 11.9
## [841] 12.1 11.8 11.2 9.0 12.3 9.5 12.2 10.0 8.0 11.9 10.3 11.9 11.9 11.8
## [855] 11.2 12.1 11.4 11.5 10.9 10.5 11.7 10.2 11.6 9.6 9.3 12.0 10.2 11.1
## [869] 11.3 12.2 10.9 11.1 11.5 11.2 12.3 11.4 11.2 12.2 12.3 12.1 12.0 11.0
## [883] 9.8 10.9 10.8 10.3 10.0 11.9 12.1 12.0 11.1 11.0 10.3 11.7 12.0 11.8
## [897] 11.2 10.5 12.2 9.9 10.5 11.7 11.8 12.3 8.7 12.1 10.6 10.6 12.1 10.9
## [911] 10.2 11.9 9.4 12.3 11.0 9.3 11.1 11.6 12.1 10.7 12.0 12.1 10.2 10.0
## [925] 8.0 11.7 6.5 10.5 8.7 11.3 11.9 10.9 11.6 11.1 11.0 9.3 11.9 11.8
## [939] 11.5 11.8 12.3 12.2 11.6 11.5 11.6 11.5 11.9 10.3 10.0 11.9 11.9 11.6
## [953] 12.2 11.2 8.9 11.9 11.3 12.2 11.2 11.1 11.6 9.2 11.3 11.8 12.3 12.0
## [967] 11.2 11.1 11.5 10.8 12.1 8.2 11.1 11.0 11.6 11.2 10.8 11.3 10.2 12.1
## [981] 9.5 11.9 9.4 11.5 8.5 10.6 10.7 7.7 9.7 8.4 8.7 11.7 10.5 7.2
## [995] 12.2 12.1 11.8 12.3 11.0 11.9 11.1 10.1 10.7 11.6 11.4 9.4 10.9 11.5
## [1009] 12.1 10.7 9.7 11.1 11.0 11.5 9.4 12.0 12.1 12.2 11.4 10.0 11.6 11.2
## [1023] 10.8 9.6 11.2 11.7 11.7 12.0 7.7 12.3 10.8 10.9 11.2 9.8 11.3 11.2
## [1037] 8.7 12.2 11.9 12.1 11.5 11.6 12.1 11.2 11.8 9.6 10.7 10.8 11.7 12.3
## [1051] 11.2 11.2 9.3 11.9 10.2 7.8 10.7 12.1 12.2 11.2 9.0 12.2 9.5 9.0
## [1065] 12.2 10.5 8.7 11.1 12.1 10.3 10.8 11.5 11.5 12.1 10.5 9.9 12.0 10.5
## [1079] 12.2 11.6 11.8 11.6 10.2 10.3 12.2 11.7 11.6 11.7 12.0 11.5 12.2 11.1
## [1093] 11.3 10.9 9.6 11.3 12.2 11.7 12.2 10.9 10.3 11.6 11.8 10.2 11.5 9.9
## [1107] 9.1 12.3 11.5 11.1 8.9 10.4 12.3 10.1 10.4 9.4 12.3 12.3 12.0 10.9
## [1121] 12.0 11.7 11.3 10.5 9.2 10.5 11.9 10.2 12.0 11.0 11.3 12.3 12.0 11.4
## [1135] 12.3 12.0 7.8 10.4 11.2 10.5 10.3 12.1 12.1 11.8 12.1 11.9 12.0 10.1
## [1149] 11.4 11.7 11.9 10.5 10.9 10.0 8.2 12.1 11.8 10.2 10.4 11.2 9.9 11.7
## [1163] 9.9 9.5 11.1 8.3 9.8 11.9 12.1 10.9 11.6 11.6 10.3 12.1 12.3 12.0
## [1177] 11.5 11.4 10.2 11.4 12.1 10.6 11.9 9.8 12.1 10.6 9.9 11.2 5.7 11.7
## [1191] 10.0 12.1 12.2 12.1 11.8 11.8 12.2 11.8 12.2 11.9 11.1 11.6 11.7 12.0
## [1205] 10.7 8.7 10.7 11.4 12.2 12.2 11.2 11.2 10.5 11.3 11.4 12.0 9.9 12.3
## [1219] 9.9 10.1 11.5 11.8 12.2 11.8 11.5 11.3 9.8 11.9 11.2 11.6 10.7 11.4
## [1233] 11.0 11.2 7.8 11.0 11.8 11.4 12.3 12.0 10.9 11.8 12.3 10.2 11.9 11.9
## [1247] 11.2 10.7 10.7 12.2 11.9 11.8 12.2 11.0 11.1 10.1 10.9 10.1 10.8 12.1
## [1261] 11.4 12.3 11.6 10.4 10.5 11.3 11.5 12.0 9.2 11.8 11.4 11.9 10.3 11.8
## [1275] 10.8 12.1 10.1 12.2 11.5 10.8 11.8 11.0 11.3 10.7 10.4 9.0 12.1 10.2
## [1289] 11.6 11.8 10.6 12.2 11.4 11.2 12.3 11.7 12.3 12.1 7.3 7.8 12.1 11.7
## [1303] 11.0 9.4 10.5 11.8 11.4 11.4 8.7 11.3 11.0 11.7 10.8 11.2 12.2 11.6
## [1317] 11.1 10.9 12.2 11.7 12.2 10.5 10.8 9.8 11.6 11.7 10.6 11.6 12.1 11.2
## [1331] 11.7 11.7 9.3 12.1 7.4 10.6 12.0 11.2 12.0 8.2 11.4 11.6 11.6 10.4
## [1345] 10.9 12.3 10.1 10.8 12.0 11.7 9.1 12.1 12.2 11.9 12.1 10.6 12.3 11.4
## [1359] 11.3 10.5 11.0 9.8 9.0 11.1 10.8 10.8 12.1 11.6 8.8 12.2 9.7 9.5
## [1373] 11.1 9.7 34.1 11.2 10.9 10.9 10.3 10.7 9.4 10.9 11.1 10.5 12.1 10.3
## [1387] 10.7 12.0 12.3 12.3 12.0 12.2 11.2 12.3 10.1 10.4 11.7 11.5 11.2 12.0
## [1401] 10.7 11.9 9.4 11.7 10.0 9.6 10.7 9.4 11.7 12.2 11.2 11.9 11.3 9.9
## [1415] 33.8 12.1 11.0 11.0 12.1 12.1 12.3 10.1 10.6 11.3 11.4 9.6 10.3 9.3
## [1429] 12.3 11.4 12.0 11.5 11.0 11.6 9.4 11.8 11.3 12.1 11.3 9.3 11.1 11.6
## [1443] 8.8 9.9 11.2 9.4 11.8 10.7 11.5 9.4 11.5 12.2 11.3 9.9 11.0 11.6
## [1457] 12.2 10.2 10.3 12.0 11.5 12.1 12.0 12.3 8.2 11.2 11.3 9.6 10.7 9.5
## [1471] 11.5 12.3 10.6 9.6 10.2 9.6 12.3 11.8 12.1 11.3 12.2 11.0 12.0 11.3
## [1485] 10.1 11.4 10.2 11.0 11.7 12.0 10.6 8.7 12.2 11.3 9.9 11.7 12.3 11.0
## [1499] 10.8 11.9 9.3 11.3 11.2 10.2 11.4 9.7 9.2 11.5 11.9 11.5 11.9 11.1
## [1513] 12.3 12.1 10.7 11.3 11.9 12.2 11.4 11.6 10.5 11.4 11.2 8.6 11.9 9.2
## [1527] 11.4 12.3 11.4 12.3 10.4 11.2 11.2 10.8 11.5 11.8 11.5 9.2 9.3 12.1
## [1541] 12.0 11.0 10.3 11.4 11.2 12.1 11.0 11.0 11.8 9.5 12.2 12.0 9.0 9.0
## [1555] 12.1 8.5 11.0 10.7 11.7 10.0 11.1 10.5 10.8 11.9 12.2 11.5 9.9 10.6
## [1569] 9.6 11.1 11.1 11.6 9.3 11.8 10.4 11.3 11.1 12.2 12.1 8.8 12.1 12.3
## [1583] 11.5 12.3 12.1 11.6 12.3 11.8 10.6 12.3 10.1 9.9 11.3 11.7 12.3 11.4
## [1597] 11.5 11.4 12.3 12.3 10.9 9.9 9.4 10.3 12.1 11.8 11.5 12.2 11.5 11.8
## [1611] 11.1 11.1 11.5 9.7 9.0 10.0 11.8 12.3 9.2 12.2 11.6 11.7 10.6 10.0
## [1625] 12.3 10.3 12.1 11.0 12.2 10.7 11.5 10.9 12.0 12.0 11.3 10.0 10.5 11.4
## [1639] 7.6 11.4 12.1 10.6 11.4 8.0 11.1 10.7 12.0 11.6 11.9 11.5 8.3 11.5
## [1653] 9.6 11.7 11.8 10.2 10.8 11.8 10.5 33.5 10.9 12.3 9.9 10.9 11.2 10.4
## [1667] 12.1 10.3 11.4 11.2 12.1 10.2 12.3 11.7 11.5 5.1 12.2 11.7 11.2 10.0
## [1681] 11.8 12.1 10.5 10.8 10.9 8.2 8.8 11.9 8.9 10.3 10.2 10.2 10.7 10.6
## [1695] 10.4 11.0 12.0 11.9 9.3 11.9 10.6 11.5 9.1 11.2 12.0 12.2 10.3 12.3
## [1709] 12.1 10.9 12.3 11.6 10.2 12.2 10.2 11.2 12.2 12.2 10.0 11.9 10.6 12.2
## [1723] 11.4 11.9 8.9 11.8 9.4 12.0 11.7 12.3 11.3 10.5 12.2 12.3 9.4 9.5
## [1737] 12.2 10.5 11.1 9.0 11.3 10.5 11.9 11.3 10.0 12.1 12.3 12.1 10.7 11.9
## [1751] 10.6 11.9 11.7 10.3 12.3 10.0 11.6 12.1 11.2 11.0 12.3 11.2 10.3 11.7
## [1765] 11.6 11.8 11.5 5.0 10.3 12.2 11.5 11.7 12.2 10.4 11.7 11.9 10.6 11.2
## [1779] 11.2 11.9 11.7 11.5 11.8 11.7 11.4 10.4 9.0 11.6 10.7 12.2 10.0 11.3
## [1793] 9.7 12.1 11.4 9.9 12.1 10.7 11.6 11.4 11.4 9.9 12.3 12.1 11.6 11.5
## [1807] 12.3 7.3 10.9 12.1 8.3 9.0 11.9 10.7 11.9 11.5 9.6 11.3 11.8 10.3
## [1821] 9.4 12.1 11.2 12.1 12.0 11.9 10.8 9.4 11.0 11.0 9.8 12.2 11.0 11.6
## [1835] 11.4 10.6 10.6 11.7 12.1 11.5 11.9 10.8 12.1 11.7 11.5 11.9 11.4 11.0
## [1849] 10.3 11.5 11.2 12.3 7.8 11.7 9.0 11.5 10.9 11.9 12.1 10.5 12.2 10.9
## [1863] 11.5 8.9 8.5 10.0 11.6 11.5 9.9 12.0 11.9 10.9 12.3 10.3 10.4 9.7
## [1877] 10.6 11.8 12.3 11.5 9.1 11.6 9.8 12.3 12.2 10.7 11.5 10.0 11.9 8.7
## [1891] 10.9 11.2 12.1 9.8 11.8 10.7 9.8 9.7 11.5 10.7 8.8 10.4 11.5 12.1
## [1905] 8.0 9.3 11.0 9.2 10.6 11.6 10.8 11.0 11.7 10.8 10.9 12.1 10.1 12.3
## [1919] 12.1 11.2 11.7 11.9 11.7 10.0 11.9 11.2 11.7 12.3 12.3 11.0 7.6 10.2
## [1933] 12.0 10.8 12.3 10.3 9.9 10.6 11.0 8.3 12.0 7.5 11.4 12.1 11.1 11.5
## [1947] 11.5 12.0 10.2 12.1 8.6 11.6 9.9 12.1 10.7 11.3 10.6 11.6 9.8 10.4
## [1961] 10.6 10.4 11.3 10.9 10.5 12.0 11.3 11.3 10.3 9.5 10.8 9.4 11.0 10.9
## [1975] 12.2 12.0 10.3 10.4 12.0 12.3 10.6 11.5 12.2 12.2 12.2 10.5 11.6 9.7
## [1989] 11.6 12.1 10.6 11.2 10.3 11.7 11.6 11.2 10.6 12.3 10.8 11.5 12.3 10.1
## [2003] 11.5 11.3 11.3 10.5 10.9 11.2 11.7 11.4 12.3 11.7 12.2 11.7 11.5 12.3
## [2017] 11.7 11.4 10.9 11.7 7.1 11.5 12.3 11.4 12.0 10.7 12.2 11.9 12.3 10.4
## [2031] 10.8 9.9 12.1 11.6 12.1 10.5 12.1 11.6 11.1 12.3 10.2 9.3 11.5 11.9
## [2045] 11.4 11.8 11.6 12.2 11.0 12.1 11.6 12.1 11.6 12.2 11.8 12.2 10.5 11.7
## [2059] 11.7 11.9 8.9 11.5 11.5 11.9 11.3 10.1 10.8 12.2 10.2 8.3 12.0 11.6
## [2073] 10.2 11.6 10.5 11.7 10.1 11.5 11.7 7.5 11.9 11.3 8.6 9.6 12.0 9.8
## [2087] 10.1 10.4 12.3 10.4 11.5 10.9 11.7 11.6 11.8 10.8 10.0 10.2 11.8 11.7
## [2101] 12.1 11.3 12.2 10.4 10.9 11.7 9.7 11.5 11.9 11.9 10.1 11.5 9.9 11.2
## [2115] 11.9 12.0 12.0 11.3 9.7 11.8 12.1 10.0 10.4 12.0 11.8 11.3 12.1 11.1
## [2129] 11.4 11.0 12.3 12.0 10.6 9.0 12.1 10.4 10.3 9.2 10.7 10.6 12.1 11.0
## [2143] 11.6 10.7 12.0 11.0 9.5 10.8 11.2 11.5 9.9 11.7 11.5 10.9 34.6 11.6
## [2157] 12.3 33.8 11.5 12.3 11.3 12.3 9.1 8.1 12.3 10.8 10.6 12.2 11.9 11.8
## [2171] 9.6 12.2 10.7 11.6 12.3 9.9 11.1 11.2 12.3 12.0 11.2 10.6 11.7 8.7
## [2185] 12.3 11.7 10.7 11.8 10.8 9.1 10.6 12.3 9.5 11.8 10.7 11.8 10.2 12.1
## [2199] 8.4 11.5 10.3 10.8 11.4 11.2 11.6 10.1 11.2 10.8 11.1 7.6 12.0 12.3
## [2213] 11.9 10.5 8.9 12.0 12.2 10.3 11.1 11.1 9.3 11.5 12.0 11.4 10.0 11.9
## [2227] 7.5 12.2 11.5 11.1 12.2 10.7 11.8 9.9 11.3 11.0 12.3 10.3 12.2 11.8
## [2241] 10.7 12.1 11.2 12.0 12.2 11.7 11.2 11.4 11.8 11.7 9.0 12.2 10.8 11.4
## [2255] 11.8 7.6 10.7 11.0 12.2 12.2 11.8 11.8 10.9 11.6 11.5 11.3 10.3 11.9
## [2269] 11.6 11.9 11.9 11.4 11.6 11.0 12.2 12.3 11.3 11.9 11.3 12.2 10.0 11.6
## [2283] 11.9 11.4 10.7 10.9 10.1 10.8 12.2 12.3 12.3 10.6 10.1 11.0 11.5 11.5
## [2297] 11.0 11.3 9.9 11.8 10.5 11.9 9.1 11.9 12.2 11.8 11.2 10.6 10.7 10.9
## [2311] 8.6 8.0 12.1 11.1 11.2 12.3 10.2 11.1 11.6 11.8 11.9 9.9 12.3 10.1
## [2325] 12.1 11.1 11.5 11.2 11.5 12.0 11.9 9.7 11.2 11.8 11.7 12.1 10.9 12.3
## [2339] 11.8 11.2 12.0 12.0 11.7 10.3 11.8 11.8 11.2 10.1 12.1 11.9 8.3 11.9
## [2353] 12.3 12.2 11.8 11.3 10.3 11.2 10.9 10.7 12.3 11.8 11.9 11.4 10.6 11.9
## [2367] 10.8 10.6 11.3 10.8 12.3 10.7 12.1 10.5 10.6 11.0 9.9 10.6 11.2 12.2
## [2381] 12.3 11.5 11.1 11.9 11.7 10.4 11.4 11.0 12.0 11.4 11.2 10.7 10.5 12.2
## [2395] 11.2 12.2 11.4 9.7 9.9 8.6 12.3 11.2 11.4 11.9 9.6 11.9 9.3 12.2
## [2409] 12.1 12.3 11.3 12.0 10.6 11.9 11.0 8.3 11.7 11.6 11.7 11.5 12.2 11.2
## [2423] 10.6 12.1 10.8 12.2 11.0 12.2 11.6 11.5 9.6 10.9 10.5 11.2 12.3 12.1
## [2437] 9.7 11.8 12.2 12.0 10.8 11.6 10.3 12.3 11.2 11.9 10.3 11.2 10.8 11.5
## [2451] 11.4 11.3 9.2 11.9 12.0 12.0 9.1 10.6 12.1 12.2 11.3 11.8 9.6 11.7
## [2465] 12.1 9.6 11.8 10.9 12.0 9.4 11.6 11.9 10.6 11.3 12.2 10.7 11.3 12.3
## [2479] 11.8 10.2 12.0 10.4 12.3 11.2 10.2 9.7 12.0 9.9 9.6 10.0 11.9 10.1
## [2493] 12.1 7.9 11.9 12.1 11.6 8.6 11.8 7.6 10.0 11.4 10.7 11.2 11.6 10.1
## [2507] 11.8 12.0 11.3 11.5 8.6 11.2 10.1 11.4 12.3 11.8 12.2 11.6 12.3 10.3
## [2521] 11.3 10.1 12.0 12.2 11.7 11.4 11.5 9.5 12.3 8.2 11.9 11.6 11.8 9.0
## [2535] 11.8 11.6 9.8 11.1 10.8 10.6 12.0 11.6 12.2 7.5 11.8 11.6 11.9 11.6
## [2549] 12.3 10.9 9.6 11.4 10.8 12.2 10.8 11.2 9.9 11.4 11.8 9.9 8.1 11.6
## [2563] 11.7 11.2 11.5 12.2 12.3 11.7 12.2 11.8 11.8 11.0 9.3 11.9 9.0 12.0
## [2577] 8.5 11.5 10.9 9.7 10.5 11.8 12.1 11.0 10.1 12.2 11.2 11.3 12.0 12.1
## [2591] 10.0 10.8 10.1 10.9 9.4 10.7 11.5 11.8 10.8 9.6 10.5 9.4 11.1 10.9
## [2605] 10.6 11.8 10.5 10.8 11.7 11.3 11.4 10.7 10.0 12.1 12.2 12.1 10.6 10.7
## [2619] 11.9 10.3 11.3 11.5 12.1 11.7 11.0 11.7 11.7 9.8 11.8 12.1 10.3 10.0
## [2633] 11.4 12.3 11.6 11.8 11.2 10.6 10.0 10.4 12.2 9.8 9.7 11.9 11.7 11.6
## [2647] 10.7 10.4 11.0 12.3 12.3 12.0 10.6 11.8 11.1 10.0 11.8 12.0 10.9 10.5
## [2661] 11.5 12.1 12.3 10.4 12.1 10.4 8.6 10.0 12.2 12.3 11.7 11.5 11.5 11.4
## [2675] 12.3 12.3 9.6 11.8 10.5 11.0 12.1 12.1 9.0 11.8 10.4 10.3 9.5 10.1
## [2689] 12.2 11.4 10.0 11.1 11.5 11.6 9.5 10.6 12.2 11.9 11.6 10.0 11.2 10.6
## [2703] 9.1 10.6 12.2 10.7 12.1 9.5 11.5 10.7 10.8 9.9 11.6 11.1 12.3 10.9
## [2717] 12.1 11.7 12.3 8.1 11.3 12.0 11.7 12.3 11.4 10.6 11.2 12.2 11.8 11.4
## [2731] 12.3 11.1 10.2 10.9 11.8 10.4 11.9 8.2 11.2 10.1 11.8 11.0 10.6 9.9
## [2745] 11.3 11.4 11.1 11.0 10.0 8.3 11.9 10.6 11.8 8.9 10.7 10.2 10.5 12.0
## [2759] 11.1 11.7 12.3 10.0 8.2 10.3 10.7 11.5 10.4 11.1 11.1 10.8 12.0 11.0
## [2773] 11.9 11.3 12.2 12.2 9.8 10.6 8.1 11.7 10.9 11.9 9.7 12.0 10.9 11.8
## [2787] 11.6 9.8 10.7 9.4 12.2 11.1 12.3 12.3 12.3 11.2 11.7 10.7 12.3 12.2
## [2801] 10.3 9.4 11.9 9.5 10.1 10.0 11.6 10.8 12.3 11.5 12.2 11.4 10.5 10.1
## [2815] 11.0 10.5 11.2 11.8 10.7 11.9 11.7 10.1 12.2 11.4 9.0 10.8 10.4 11.5
## [2829] 9.7 11.5 10.9 10.9 11.5 9.2 10.1 11.5 9.8 10.4 11.6 10.3 11.1 11.1
## [2843] 12.3 12.2 11.4 11.1 11.6 10.1 12.0 11.5 11.6 12.0 11.4 11.5 10.7 12.1
## [2857] 10.0 10.8 12.3 10.8 9.7 11.9 10.9 11.6 11.0 11.7 12.1 9.4 12.0 11.1
## [2871] 11.2 11.2 12.1 10.0 9.3 33.3 11.7 10.6 9.7 10.7 10.1 12.2 10.7 10.9
## [2885] 10.1 10.2 12.3 10.5 10.7 12.0 11.1 11.3 12.3 12.3 5.8 12.1 12.1 11.7
## [2899] 11.5 10.0 12.1 11.3 11.4 10.6 11.4 12.3 12.3 11.6 10.7 10.8 9.3 12.0
## [2913] 10.9 11.5 11.8 10.5 11.9 11.2 12.2 11.0 10.6 11.7 12.1 11.2 10.3 11.7
## [2927] 9.9 12.0 8.9 10.1 11.8 10.1 11.1 11.4 11.6 9.8 12.3 9.5 11.5 11.0
## [2941] 12.3 11.8 11.1 8.9 12.0 12.1 11.6 11.4 11.4 11.8 11.2 11.9 10.3 10.5
## [2955] 10.8 12.2 12.3 11.2 10.9 10.1 12.2 12.2 11.1 10.8 11.8 12.2 11.5 11.2
## [2969] 10.8 12.0 11.8 11.2 12.0 11.3 11.8 11.5 11.3 10.8 11.0 10.7 9.2 10.4
## [2983] 12.0 10.1 11.7 12.2 10.7 10.3 10.6 10.1 12.0 11.9 11.8 11.8 11.2 12.0
## [2997] 11.6 9.3 11.8 10.0 12.2 10.2 12.3 12.2 12.0 11.0 12.1 11.8 12.2 11.2
## [3011] 12.2 9.7 12.1 11.2 11.7 11.3 11.6 12.1 11.3 12.0 12.0 11.5 10.0 10.5
## [3025] 12.0 12.3 12.2 11.8 12.0 11.4 9.4 10.2 11.5 10.3 10.6 11.2 12.3 11.7
## [3039] 11.3 11.2 12.1 9.4 11.3 10.6 12.1 11.8 11.9 11.9 10.4 11.9 11.1 11.8
## [3053] 11.7 11.5 11.4 11.1 11.3 12.2 11.9 10.5 12.3 12.0 10.1 12.1 11.5 11.2
## [3067] 10.2 9.3 11.5 9.9 9.9 12.3 12.3 11.0 11.7 10.2 12.3 11.6 11.8 10.2
## [3081] 11.2 11.7 10.0 12.0 10.6 11.4 11.9 12.3 12.3 12.1 12.2 11.8 11.1 8.2
## [3095] 12.2 10.7 11.8 10.8 10.6 9.9 11.7 12.3 11.5 11.5 12.1 11.0 10.3 9.8
## [3109] 8.2 11.2 12.2 9.0 11.6 11.3 10.8 11.5 10.3 10.2 11.6 9.4 12.2 11.5
## [3123] 11.0 11.8 11.0 10.0 10.9 11.5 9.7 12.3 10.4 11.6 10.7 12.0 12.1 12.3
## [3137] 12.1 9.1 10.8 10.3 10.3 9.8 10.2 11.3 11.9
print(df_2_anomalies_temp_min)
## [1] 10.1 8.6 11.9 11.1 11.6 10.6 11.9 10.4 11.2 12.1 12.1 11.7 10.5 12.0
## [15] 11.4 10.8 11.3 12.1 11.4 10.6 11.6 10.5 9.7 11.3 11.2 10.3 11.8 12.0
## [29] 11.2 9.9 11.7 11.6 12.0 12.0 10.6 9.9 11.7 8.5 11.4 9.5 11.1 11.3
## [43] 11.0 11.5 10.6 10.4 11.6 11.7 11.5 9.8 8.3 11.3 11.7 11.4 9.6 11.2
## [57] 11.5 10.0 11.5 11.4 10.8 10.7 11.3 11.9 11.1 9.4 9.5 10.0 11.4 10.3
## [71] 11.5 12.1 11.7 10.7 11.6 11.3 10.0 10.1 10.8 12.0 10.9 11.7 9.7 10.5
## [85] 33.7 9.9 7.2 11.0 9.3 10.2 11.3 10.5 11.7 11.8 11.1 7.4 12.1 11.9
## [99] 12.1 10.7 10.7 9.2 11.6 11.2 11.6 10.3 11.1 12.1 9.5 11.8 11.8 12.0
## [113] 7.1 10.3 11.5 11.6 10.2 11.8 9.3 10.7 12.0 11.5 11.6 10.2 11.1 12.0
## [127] 11.5 11.8 11.2 9.7 11.5 11.4 11.1 11.7 9.5 11.3 11.3 10.1 10.9 10.8
## [141] 9.5 10.5 11.1 11.0 11.2 10.2 10.7 10.0 10.0 8.6 11.2 12.1 11.0 12.0
## [155] 10.2 11.3 10.1 10.2 11.3 11.5 10.0 11.3 12.1 12.1 12.1 11.2 11.7 11.3
## [169] 12.1 7.9 11.7 11.4 9.6 11.7 11.8 11.7 11.4 11.0 11.8 10.9 11.8 12.1
## [183] 11.1 10.5 11.5 11.4 11.5 11.9 12.1 12.1 11.8 11.0 9.9 12.1 12.0 8.9
## [197] 10.5 11.7 11.8 10.9 10.7 11.5 10.6 10.4 11.8 9.2 11.9 11.6 11.6 10.7
## [211] 10.3 10.2 10.9 12.1 11.8 9.9 11.3 11.0 12.1 11.5 11.6 11.9 11.0 11.3
## [225] 11.8 11.5 11.8 9.8 11.0 12.0 10.7 10.7 11.1 12.0 11.9 10.9 10.4 11.2
## [239] 11.6 11.5 9.5 11.3 10.9 9.9 11.3 11.4 12.1 11.5 12.1 11.1 11.9 12.0
## [253] 11.0 11.7 10.6 8.2 12.1 11.6 10.3 11.9 11.0 11.9 11.5 8.8 11.5 11.9
## [267] 12.0 10.4 11.5 11.1 10.6 11.9 10.8 12.0 10.6 12.0 8.3 12.1 10.3 11.8
## [281] 11.5 11.3 10.7 11.6 11.4 10.4 11.2 11.9 10.1 10.8 10.9 11.8 9.7 8.6
## [295] 11.7 11.5 11.3 12.0 10.5 11.7 11.8 11.8 9.2 11.8 10.5 9.6 10.3 12.0
## [309] 12.1 9.3 10.3 10.7 11.7 10.4 11.2 11.9 9.4 11.5 12.0 8.8 11.0 11.9
## [323] 10.5 11.0 12.1 10.1 12.1 11.8 11.7 9.8 11.9 11.8 10.9 11.7 12.1 11.3
## [337] 10.7 11.6 11.9 11.5 11.9 10.8 10.6 10.0 11.3 11.9 11.6 12.1 11.6 11.9
## [351] 10.4 11.9 12.1 11.9 10.6 10.0 12.1 12.1 11.7 12.1 11.2 11.8 11.0 11.9
## [365] 10.7 10.6 11.9 12.0 10.7 11.5 10.7 11.6 11.4 11.9 12.0 10.6 12.1 11.8
## [379] 11.0 9.0 11.3 11.9 10.9 11.0 11.5 8.4 11.0 10.8 12.1 12.1 11.5 12.0
## [393] 11.4 11.7 8.5 11.9 10.3 11.3 11.5 10.3 12.0 8.5 11.6 12.1 9.8 11.1
## [407] 12.0 11.6 11.6 11.5 11.0 11.3 11.1 11.7 11.2 11.8 12.1 11.9 10.1 10.9
## [421] 10.6 12.1 9.8 11.5 10.7 11.8 9.0 10.6 12.1 10.7 9.7 11.6 11.2 8.9
## [435] 12.1 10.9 11.8 12.1 12.1 9.8 10.2 11.2 11.0 12.1 11.4 11.3 9.2 10.7
## [449] 11.1 11.3 11.8 10.5 11.2 11.5 11.1 8.9 10.2 9.4 11.4 10.1 9.9 10.4
## [463] 10.3 10.5 10.5 11.2 10.4 9.8 11.8 11.8 10.2 11.7 10.7 11.4 11.5 11.6
## [477] 11.8 11.7 11.2 10.2 11.8 11.4 10.4 11.8 11.4 11.6 10.0 12.0 11.2 10.5
## [491] 11.2 11.9 10.7 10.7 12.1 8.1 12.0 10.7 11.0 10.7 11.6 12.0 11.8 11.1
## [505] 11.4 11.5 9.9 10.6 11.9 11.9 11.7 10.5 10.3 11.9 9.4 11.3 9.9 11.8
## [519] 12.0 9.0 8.2 11.4 9.2 11.8 11.2 11.8 11.5 11.2 11.3 10.6 9.7 10.6
## [533] 10.2 10.4 11.6 8.6 11.7 10.7 11.3 9.7 10.1 11.5 11.4 10.2 10.8 9.0
## [547] 11.1 11.3 11.6 9.6 11.4 10.6 9.4 11.9 10.3 9.9 11.0 10.5 33.9 7.2
## [561] 10.9 11.4 10.8 10.8 10.2 11.7 11.6 10.2 10.7 9.3 10.0 7.6 10.5 10.6
## [575] 9.2 9.9 11.0 11.9 12.1 10.8 11.9 12.1 12.1 12.1 10.6 12.1 11.4 9.3
## [589] 11.9 12.1 11.2 11.7 11.3 10.6 9.4 10.2 10.4 33.8 11.3 11.4 11.5 11.0
## [603] 10.6 9.0 11.4 11.6 11.5 9.5 10.2 10.8 11.6 12.0 11.3 11.0 12.1 11.8
## [617] 11.3 11.6 11.5 10.8 12.1 11.8 10.1 9.7 10.3 10.7 11.3 12.0 10.9 10.6
## [631] 12.1 10.2 11.7 11.8 12.1 9.4 12.0 11.7 11.1 10.6 11.5 11.5 11.6 9.6
## [645] 10.7 9.5 10.5 11.6 8.2 11.8 9.7 11.0 11.6 7.7 11.2 11.1 11.0 11.0
## [659] 8.6 10.7 11.8 10.5 11.8 10.9 11.3 7.6 11.7 11.2 11.8 10.7 10.5 33.9
## [673] 11.7 9.8 11.8 8.8 9.1 11.6 11.8 9.6 8.3 12.0 10.7 11.6 11.7 11.4
## [687] 11.5 9.7 10.9 11.9 11.3 10.8 11.5 33.8 10.7 11.6 11.5 11.5 11.9 11.0
## [701] 7.8 11.9 11.5 11.8 11.9 11.0 11.6 11.9 11.9 11.7 12.1 11.6 9.9 10.7
## [715] 11.7 12.0 10.3 11.9 11.9 10.4 11.3 11.2 9.4 11.7 11.8 10.8 9.6 11.6
## [729] 11.7 12.0 10.0 8.3 12.1 12.1 10.6 11.6 11.3 11.2 11.4 11.8 11.6 11.8
## [743] 7.6 8.0 10.1 10.6 11.4 11.9 11.6 10.9 11.9 10.8 9.9 10.0 12.0 10.5
## [757] 11.8 10.3 9.4 11.8 10.2 11.5 10.9 9.4 10.9 11.5 10.5 12.0 11.8 11.9
## [771] 10.4 12.0 10.1 10.5 11.8 9.6 10.4 12.1 11.2 12.0 12.1 10.3 11.5 11.8
## [785] 10.0 10.8 9.1 9.9 9.9 10.5 10.9 9.6 11.2 11.7 10.4 12.0 10.4 8.7
## [799] 10.7 10.6 10.3 11.0 12.1 11.5 11.9 10.4 11.9 11.7 11.6 10.6 11.0 11.3
## [813] 10.0 11.5 11.9 10.6 10.4 9.7 11.6 10.5 11.2 12.1 12.0 10.8 11.5 11.8
## [827] 11.7 11.8 12.0 10.9 11.6 9.6 9.6 11.2 10.3 10.6 9.9 11.7 11.2 11.1
## [841] 12.0 11.7 7.0 10.3 11.8 10.8 9.3 10.0 10.2 11.9 11.2 11.8 11.6 11.4
## [855] 10.9 12.0 11.0 11.2 12.0 11.4 11.8 11.2 10.9 10.9 9.9 11.5 11.1 10.7
## [869] 11.7 11.5 12.1 9.5 12.0 8.3 10.7 10.3 11.4 11.9 11.9 11.2 10.3 9.6
## [883] 11.9 12.1 11.4 9.8 10.4 11.7 10.6 11.4 11.8 10.9 10.5 10.9 10.6 10.0
## [897] 10.9 10.4 11.2 8.4 12.1 11.5 12.1 11.5 9.3 9.8 11.7 11.7 11.2 10.7
## [911] 9.1 10.9 10.9 12.0 11.5 8.2 11.7 11.9 11.4 11.4 10.6 10.9 12.0 8.0
## [925] 11.6 11.2 11.3 11.6 10.8 10.7 11.3 12.1 10.8 11.6 10.9 11.6 11.8 11.6
## [939] 10.6 10.9 11.0 11.2 11.8 12.1 11.8 12.1 11.9 12.0 10.5 9.4 7.4 9.5
## [953] 10.7 8.9 11.2 11.4 12.0 8.3 10.6 9.8 11.9 10.0 12.0 9.9 9.7 10.9
## [967] 8.9 11.5 10.7 12.1 12.1 10.2 11.8 11.7 12.0 12.1 11.8 11.3 11.1 11.6
## [981] 11.1 12.0 10.7 11.5 11.1 11.8 10.7 10.3 10.5 11.6 10.7 11.6 10.0 10.1
## [995] 10.6 10.4 8.1 9.6 10.2 10.8 10.1 9.9 12.0 11.7 10.9 10.7 9.5 11.0
## [1009] 11.6 11.3 9.0 10.0 12.0 10.7 11.7 12.1 8.2 11.0 11.4 10.2 11.0 10.0
## [1023] 11.8 10.9 11.8 9.6 11.2 9.9 7.8 11.8 10.4 11.2 11.6 10.0 11.6 11.6
## [1037] 10.6 10.8 11.6 11.4 11.4 11.0 11.9 11.9 11.7 10.5 10.5 12.1 10.8 11.2
## [1051] 10.0 11.2 9.8 11.5 11.0 10.3 8.0 10.5 9.6 11.2 11.3 11.2 11.6 12.0
## [1065] 11.7 12.0 7.7 11.5 10.0 8.8 10.5 10.3 11.6 11.8 11.1 11.7 10.6 11.7
## [1079] 11.2 12.0 11.0 11.1 10.7 11.1 11.0 11.0 11.1 11.9 10.7 11.8 11.2 12.1
## [1093] 10.7 10.8 10.8 11.4 11.6 11.6 9.6 11.9 12.1 9.5 8.9 10.3 11.4 11.8
## [1107] 11.5 11.4 12.0 11.4 12.1 11.7 9.7 11.5 11.2 8.0 11.6 11.8 11.3 11.4
## [1121] 8.6 11.6 11.3 11.9 9.7 12.1 10.6 10.8 11.6 11.8 11.9 10.4 12.1 11.2
## [1135] 10.8 11.7 10.7 11.4 10.8 10.8 9.9 10.9 10.7 11.0 10.9 11.7 11.3 11.0
## [1149] 9.5 10.0 7.6 10.2 12.0 10.4 9.2 11.8 11.8 11.8 9.8 9.7 9.9 10.9
## [1163] 11.3 11.4 11.5 11.5 12.0 12.0 9.7 10.2 12.1 12.1 10.3 10.2 11.5 11.9
## [1177] 10.1 12.1 10.7 11.7 11.6 11.2 11.1 11.3 9.8 9.1 12.1 11.5 10.3 11.1
## [1191] 11.4 10.8 11.1 10.2 10.8 11.7 11.7 10.6 11.1 11.6 11.5 10.7 11.4 11.8
## [1205] 10.5 11.8 9.9 12.1 11.4 10.8 10.9 12.0 10.1 11.6 11.0 10.8 11.9 11.9
## [1219] 11.5 10.4 11.1 11.5 11.6 8.4 10.8 11.4 11.7 10.0 11.0 11.5 11.1 9.6
## [1233] 10.4 12.0 10.9 11.4 11.6 10.7 11.0 8.9 10.9 11.8 11.8 11.6 10.9 10.1
## [1247] 9.2 11.7 12.1 10.1 11.0 10.0 11.3 11.1 10.7 9.0 10.8 11.3 11.8 5.6
## [1261] 11.9 11.9 11.8 9.5 11.8 10.4 11.4 10.2 11.2 10.0 12.1 11.4 11.6 10.1
## [1275] 11.2 10.6 10.2 12.0 10.0 11.5 11.3 11.7 10.8 11.3 11.0 10.1 10.7 10.9
## [1289] 12.1 11.4 12.0 12.0 10.5 11.3 12.0 10.6 10.2 12.1 12.1 10.0 10.8 9.7
## [1303] 12.1 11.8 9.3 8.3 10.3 9.8 12.1 10.1 11.0 10.0 10.0 8.0 10.8 12.0
## [1317] 11.4 8.4 12.1 12.0 12.1 12.1 11.4 8.6 10.2 10.9 10.9 9.2 10.4 11.8
## [1331] 12.0 10.0 11.6 12.0 10.3 11.1 11.6 11.5 10.2 11.5 10.0 11.1 11.7 10.7
## [1345] 11.4 11.3 9.3 10.3 9.8 11.3 10.0 10.4 9.5 10.2 9.6 11.5 11.7 12.1
## [1359] 11.5 11.7 11.2 11.3 9.8 11.3 10.3 12.0 12.1 12.1 9.7 10.0 10.8 10.3
## [1373] 11.2 10.6 10.6 9.5 11.5 9.0 11.7 10.7 10.2 11.5 10.9 11.9 11.5 11.7
## [1387] 12.0 10.4 9.9 11.5 10.2 11.8 9.8 11.3 11.7 9.3 11.7 10.6 9.4 10.3
## [1401] 10.0 11.3 11.4 11.7 11.7 12.1 10.0 11.7 11.8 11.8 11.4 12.0 9.2 10.9
## [1415] 12.1 11.6 10.7 11.5 11.1 11.2 10.9 11.6 10.5 11.9 11.3 12.1 11.1 8.7
## [1429] 11.8 11.7 12.1 11.2 11.0 12.0 12.1 12.0 11.5 12.0 10.1 9.9 9.0 10.1
## [1443] 10.8 11.8 11.6 10.9 9.1 12.0 10.8 12.0 11.0 12.1 10.3 10.9 11.8 11.8
## [1457] 8.1 9.4 9.7 11.0 11.2 8.3 11.7 11.0 10.3 10.3 11.3 8.7 9.0 11.8
## [1471] 11.4 12.0 12.1 11.9 10.2 11.5 12.0 11.6 11.5 12.1 10.3 10.8 11.1 11.8
## [1485] 12.1 10.6 11.5 10.9 10.7 11.0 11.2 11.1 10.8 10.2 12.0 11.2 12.0 11.8
## [1499] 10.9 8.7 10.8 10.9 11.7 11.3 11.3 12.1 11.7 11.8 9.4 10.1 10.8 10.8
## [1513] 11.7 9.6 12.1 11.5 10.7 11.3 10.0 11.2 11.0 12.0 12.1 11.3 9.1 11.5
## [1527] 9.0 11.9 8.5 11.1 9.5 9.3 12.1 9.0 9.7 10.8 12.1 10.4 11.6 10.7
## [1541] 11.2 11.5 10.8 11.8 10.6 11.2 10.4 11.6 10.8 10.9 11.0 11.3 10.0 11.5
## [1555] 10.3 10.4 11.7 11.0 10.2 9.9 10.1 11.5 11.5 11.9 10.6 9.7 11.1 10.1
## [1569] 10.9 11.8 11.0 11.3 11.5 11.4 11.6 11.7 11.8 10.9 12.1 9.7 10.6 10.9
## [1583] 9.6 10.5 10.7 9.3 11.4 11.0 11.8 11.4 11.9 11.2 9.7 10.0 10.8 11.2
## [1597] 10.6 11.5 11.7 11.9 12.1 11.8 11.1 11.7 11.8 11.8 9.4 10.4 9.1 10.6
## [1611] 11.1 11.9 11.7 11.3 11.5 11.9 9.7 10.5 10.9 11.3 11.8 11.7 11.9 11.1
## [1625] 11.7 11.5 9.9 12.0 11.2 11.6 11.8 11.7 10.2 10.4 9.2 10.6 12.1 10.7
## [1639] 8.0 10.6 10.1 8.3 12.0 12.0 10.3 11.4 11.0 11.1 11.2 12.1 10.3 11.9
## [1653] 11.4 7.4 11.3 11.4 11.9 9.0 10.0 11.0 10.9 10.8 11.8 11.6 11.6 9.1
## [1667] 11.6 10.0 10.2 10.8 10.9 10.3 11.4 12.0 11.7 12.1 10.7 10.6 11.2 11.9
## [1681] 11.5 9.5 11.8 11.5 10.7 10.6 11.3 11.9 10.1 10.4 11.6 11.0 8.5 11.5
## [1695] 10.7 10.2 11.2 10.5 10.0 10.7 9.7 11.7 10.3 11.3 10.4 12.0 11.9 11.8
## [1709] 10.1 8.2 11.3 12.1 10.8 10.5 11.6 11.9 10.8 11.2 10.9 11.6 12.1 10.4
## [1723] 11.1 9.2 10.6 11.7 11.5 12.0 9.0 11.4 11.9 12.1 10.8 9.9 10.5 11.4
## [1737] 33.5 11.5 11.2 11.3 11.4 10.7 9.3 10.0 11.4 11.0 11.8 11.5 11.2 8.6
## [1751] 11.9 11.6 12.0 11.9 11.2 9.3 12.0 11.7 11.3 11.4 11.8 10.8 11.3 11.2
## [1765] 9.2 12.0 11.9 11.9 10.3 10.6 10.3 11.9 10.7 11.4 11.5 11.9 11.9 10.1
## [1779] 10.7 11.8 12.0 11.9 11.2 11.0 11.5 11.8 12.1 11.2 9.7 11.2 10.6 11.8
## [1793] 10.6 8.0 10.6 12.0 8.6 12.0 10.8 10.7 8.2 11.5 10.0 11.5 10.0 11.5
## [1807] 8.4 9.3 12.1 9.6 11.2 10.3 11.7 9.7 8.8 11.2 10.7 34.6 10.8 10.0
## [1821] 9.9 10.9 9.6 11.0 9.5 10.9 9.0 9.8 12.1 9.4 12.0 11.6 12.1 11.8
## [1835] 10.8 11.1 10.4 10.6 9.0 11.3 10.8 12.1 11.3 11.5 11.0 10.1 11.8 11.4
## [1849] 9.4 11.5 10.8 11.6 11.8 11.8 11.6 10.6 10.1 9.6 11.6 10.1 9.7 11.8
## [1863] 9.4 10.0 11.9 11.9 11.6 12.1 11.4 12.0 12.1 10.3 9.0 11.6 9.9 11.9
## [1877] 11.4 11.3 10.6 12.0 11.6 11.7 9.3 10.4 9.2 11.6 11.5 11.3 11.7 11.5
## [1891] 11.0 9.7 10.5 7.9 11.3 11.6 11.5 11.4 12.1 11.5 10.0 11.2 11.7 11.4
## [1905] 10.0 11.8 11.9 10.4 12.0 10.2 11.1 11.3 11.7 11.8 9.9 11.5 11.7 10.2
## [1919] 12.0 12.1 10.3 10.8 10.9 11.6 11.1 12.1 11.0 11.2 11.4 12.1 11.5 11.0
## [1933] 9.4 11.2 8.3 11.5 11.7 12.1 12.1 11.9 11.7 11.8 11.0 10.0 10.8 11.5
## [1947] 11.9 11.5 10.6 11.9 11.8 11.3 12.0 12.0 10.6 10.1 10.2 11.1 10.9 12.0
## [1961] 10.4 9.9 8.9 11.8 12.0 9.5 9.4 11.8 9.7 11.9 10.1 11.1 10.5 9.8
## [1975] 12.1 10.3 9.3 10.4 10.0 11.6 11.2 11.7 9.7 10.7 12.0 8.5 10.2 11.8
## [1989] 9.8 10.7 10.6 10.9 11.0 11.7 11.9 11.9 11.8 11.4 10.6 11.0 8.3 11.8
## [2003] 10.8 11.7 11.6 11.8 10.2 10.7 10.7 11.9 11.8 8.9 11.1 12.1 10.4 7.7
## [2017] 10.4 12.0 12.1 11.6 10.8 10.4 10.4 12.1 10.1 9.1 11.7 10.0 10.9 10.9
## [2031] 10.8 11.8 11.0 11.2 11.8 11.2 10.9 10.9 12.0 10.8 11.4 11.4 11.3 12.1
## [2045] 11.2 11.7 10.8 10.6 9.2 11.5 11.0 10.8 10.4 11.0 10.7 11.4 10.4 11.2
## [2059] 9.5 10.8 12.0 10.8 12.1 12.0 8.4 10.2 12.0 11.8 11.5 10.6 10.9 11.6
## [2073] 11.0 11.9 10.2 10.4 10.5 9.9 10.1 11.7 11.9 10.3 10.2 10.7 11.8 11.2
## [2087] 11.5 9.3 9.9 10.6 11.1 12.0 9.7 11.5 11.6 9.5 10.7 10.5 10.8 11.7
## [2101] 12.0 9.7 11.4 11.6 11.8 9.8 11.5 10.9 9.5 11.4 9.7 10.7 11.8 11.8
## [2115] 10.9 9.6 11.8 11.3 8.7 11.3 10.0 11.8 11.7 11.3 11.8 11.2 12.0 11.2
## [2129] 5.1 11.8 11.6 12.1 7.3 10.4 11.4 11.7 10.7 10.9 11.7 9.3 11.4 11.5
## [2143] 11.5 10.5 11.8 11.6 11.9 12.1 11.8 11.5 12.1 11.9 10.4 11.3 10.5 11.2
## [2157] 11.7 10.8 11.5 8.5 10.1 10.4 11.5 11.3 33.7 10.8 11.6 12.1 10.3 10.3
## [2171] 10.8 7.7 11.9 11.3 9.9 9.7 10.8 10.7 11.8 10.4 11.0 11.5 9.6 10.4
## [2185] 11.1 11.2 11.2 11.5 10.5 11.7 10.5 9.7 11.1 9.1 11.9 10.0 10.9 10.7
## [2199] 11.8 11.7 11.9 10.3 11.7 12.1 11.8 10.4 10.9 11.2 11.6 5.0 11.5 12.1
## [2213] 9.0 11.7 11.8 9.6 10.7 10.7 11.6 11.3 10.5 11.2 10.9 11.4 11.6 12.0
## [2227] 11.4 10.1 11.8 11.8 11.0 10.0 10.8 10.6 10.4 11.4 8.4 11.4 12.0 9.9
## [2241] 11.1 12.1 12.1 11.6 11.1 11.6 11.1 10.4 10.5 12.1 11.1 11.3 11.7 11.6
## [2255] 11.2 9.7 10.9 11.9 12.0 10.3 11.4 9.7 11.8 8.7 7.2 11.8 10.3 10.3
## [2269] 11.5 11.7 11.6 9.5 10.1 11.0 12.1 12.0 10.3 12.1 11.9 12.1 11.2 10.4
## [2283] 11.7 10.3 11.2 11.5 11.4 10.9 11.7 11.7 9.2 11.7 12.1 12.1 9.8 12.1
## [2297] 12.1 9.9 9.2 9.6 12.0 10.5 10.9 8.7 11.1 11.9 11.9 11.8 11.8 11.0
## [2311] 11.6 11.5 12.0 11.8 10.5 10.9 9.9 11.9 11.4 10.6 11.8 11.4 11.1 11.8
## [2325] 9.7 8.5 9.0 11.6 11.9 11.9 12.1 10.8 9.9 12.1 11.9 10.5 10.5 11.8
## [2339] 12.1 10.6 9.2 9.4 12.1 10.2 12.0 12.0 11.5 11.6 10.2 10.2 12.0 12.1
## [2353] 11.5 11.5 11.3 9.1 10.6 12.0 11.7 10.8 12.0 11.8 11.7 11.1 12.0 11.2
## [2367] 7.7 11.9 10.7 9.5 9.4 12.0 10.6 11.7 9.9 11.3 11.9 8.2 9.2 11.9
## [2381] 9.9 7.3 11.5 11.4 11.7 11.9 11.1 11.9 11.2 11.3 12.1 8.4 10.4 10.3
## [2395] 10.7 12.1 11.7 11.9 10.8 11.3 11.4 11.4 10.8 11.0 9.3 10.8 11.6 11.7
## [2409] 10.2 10.1 11.7 10.5 11.6 10.2 11.3 12.1 10.6 9.0 12.0 11.7 8.7 12.0
## [2423] 8.3 11.7 11.6 10.8 11.6 10.8 10.3 11.8 10.5 9.9 11.9 11.9 8.3 10.4
## [2437] 10.4 9.4 10.2 11.7 12.1 11.3 11.4 7.6 11.9 11.5 11.4 10.6 8.0 10.5
## [2451] 10.8 12.0 11.8 11.5 11.0 10.1 11.1 11.5 11.9 7.6 11.2 12.0 11.8 11.2
## [2465] 9.3 12.1 10.6 11.8 11.6 11.4 10.3 12.1 10.6 11.5 10.3 11.9 11.4 8.1
## [2479] 11.3 12.0 11.2 8.2 10.5 11.9 11.8 12.1 11.6 10.5 10.8 7.6 11.0 11.8
## [2493] 10.5 10.3 11.8 11.4 10.2 10.7 11.1 11.6 7.6 11.5 11.6 11.6 12.1 10.0
## [2507] 10.3 11.6 11.2 12.1 11.8 10.1 10.2 11.7 11.3 11.2 10.8 11.8 9.6 11.8
## [2521] 11.8 11.7 11.2 12.1 10.7 8.0 9.7 11.8 9.1 11.2 11.8 11.1 5.1 10.5
## [2535] 11.6 10.4 10.0 11.1 12.1 9.1 9.4 11.2 10.7 11.4 11.0 7.6 11.7 10.4
## [2549] 11.6 12.0 11.3 11.3 10.4 11.4 11.1 11.9 11.0 9.3 11.1 10.8 10.5 11.1
## [2563] 11.4 12.0 12.1 11.2 10.6 11.2 11.2 11.6 11.2 12.0 10.2 11.7 10.3 10.1
## [2577] 12.0 11.4 10.5 8.7 12.1 11.8 12.1 11.0 8.7 11.6 12.0 11.1 11.2 11.5
## [2591] 10.9 11.6 11.0 11.3 11.0 10.8 11.7 11.1 11.6 9.7 11.8 10.8 11.2 10.3
## [2605] 11.8 10.8 11.2 11.4 11.9 11.5 12.0 11.1 11.3 11.3 11.7 11.3 10.0 11.9
## [2619] 11.5 9.7 10.4 11.5 11.9 12.0 10.3 11.4 10.7 11.2 11.6 11.3 8.3 9.7
## [2633] 11.9 11.3 10.7 11.0 10.9 11.2 11.4 10.7 11.2 7.9 11.7 8.3 12.0 10.2
## [2647] 11.6 10.7 8.7 9.7 12.0 11.6 11.9 11.7 10.3 9.7 11.8 9.9 7.4 11.7
## [2661] 10.1 11.2 10.7 11.0 11.7 12.0 9.2 6.8 12.1 11.7 11.2 10.4 11.8 11.9
## [2675] 11.0 10.2 10.3 12.0 11.2 11.2 12.0 10.2
print(df_3_anomalies_temp_min)
## [1] 9.0 11.6 11.4 10.0 11.4 12.2 12.2 11.4 11.7 12.0 12.0 11.6 12.1 9.3
## [15] 10.4 9.0 10.6 11.9 9.8 10.3 11.7 9.6 11.6 12.3 11.6 11.7 12.3 11.5
## [29] 11.0 10.6 12.2 11.6 12.1 11.1 10.7 11.6 9.9 11.2 12.1 11.8 10.7 11.9
## [43] 11.1 11.3 12.2 12.3 12.2 11.8 10.8 12.0 12.3 10.1 10.9 11.1 11.8 10.1
## [57] 12.3 11.7 11.3 11.8 11.0 10.7 10.9 11.9 12.0 12.3 9.9 11.8 11.4 11.9
## [71] 11.9 10.0 11.8 11.8 11.9 11.4 12.3 11.4 10.6 11.0 11.3 12.3 12.0 10.0
## [85] 11.9 12.2 11.0 10.4 11.4 12.0 10.3 11.8 12.3 12.2 10.9 12.1 11.8 12.3
## [99] 12.1 11.7 12.1 11.8 11.3 10.0 12.0 10.6 11.7 11.0 12.0 8.7 11.5 10.7
## [113] 9.8 10.5 10.0 12.1 11.6 11.7 11.3 10.6 9.3 11.6 12.3 11.9 9.7 9.7
## [127] 11.1 12.2 12.3 12.3 9.9 10.9 12.2 11.3 10.8 11.7 11.6 9.4 9.3 11.8
## [141] 10.7 12.0 10.6 11.4 10.1 10.1 12.0 11.9 10.4 12.1 10.7 11.3 11.5 10.1
## [155] 10.9 12.0 10.9 11.3 11.8 10.4 10.6 12.2 10.8 12.3 9.5 11.7 12.2 10.5
## [169] 9.7 11.7 11.5 12.3 7.2 9.7 11.9 11.1 10.3 11.2 10.8 10.0 11.9 12.0
## [183] 11.8 10.7 9.5 11.2 12.0 10.7 12.0 9.6 8.9 11.1 12.3 10.8 11.8 11.7
## [197] 11.9 11.9 12.0 11.8 11.3 11.3 11.9 11.7 12.3 10.4 12.1 11.9 11.0 10.9
## [211] 10.2 12.3 6.3 8.2 10.1 11.2 11.2 11.8 11.1 12.2 11.5 11.6 11.4 11.8
## [225] 11.9 11.1 11.0 11.1 11.0 10.8 11.8 12.1 10.9 10.1 11.3 10.7 11.8 8.5
## [239] 12.2 11.1 12.2 10.9 11.8 11.6 9.5 10.6 10.9 11.7 10.6 12.1 10.0 12.1
## [253] 9.6 12.2 11.9 11.2 8.6 11.1 12.1 10.9 11.0 11.0 12.0 10.3 11.7 11.1
## [267] 11.0 12.3 10.7 11.4 8.8 11.5 11.2 11.5 10.9 12.3 10.8 11.3 11.6 12.3
## [281] 12.3 11.5 12.3 9.2 11.5 11.4 11.9 9.7 12.3 10.4 11.9 11.8 11.1 11.3
## [295] 11.5 10.0 11.6 10.1 10.6 11.3 10.6 10.1 10.0 9.6 12.0 11.6 12.1 11.9
## [309] 8.3 10.5 11.5 10.7 10.5 12.2 12.3 12.3 11.8 12.0 11.0 11.0 11.9 11.3
## [323] 12.2 10.8 12.3 9.6 11.0 10.7 11.1 10.5 9.9 12.3 10.4 10.3 11.5 11.5
## [337] 10.7 11.7 10.7 11.7 11.1 10.4 12.3 11.7 10.2 12.3 11.3 9.7 11.5 11.1
## [351] 9.3 12.1 9.7 9.4 11.2 9.7 10.2 10.2 11.2 10.3 11.9 11.2 10.0 10.7
## [365] 11.3 12.0 12.3 12.1 12.1 11.4 11.6 12.2 11.2 12.3 11.0 12.0 12.1 8.8
## [379] 12.0 11.6 12.0 11.5 11.5 12.1 9.8 12.2 9.9 10.9 11.4 11.8 11.7 11.1
## [393] 10.6 10.2 10.7 11.9 11.5 11.8 9.7 11.1 11.2 11.3 10.1 11.4 11.1 12.3
## [407] 11.6 11.0 11.6 11.9 11.1 12.3 12.1 10.7 10.3 12.0 12.2 12.1 11.3 10.4
## [421] 11.6 9.4 34.1 10.6 12.3 11.3 12.3 10.4 12.1 10.9 10.7 11.7 9.6 12.0
## [435] 11.1 11.0 11.2 10.8 12.3 11.5 11.4 10.4 11.7 12.3 10.3 11.9 11.7 12.2
## [449] 10.9 12.1 11.4 8.9 10.8 11.7 7.6 10.2 11.1 12.2 11.6 11.3 9.9 12.1
## [463] 11.8 11.1 12.0 10.4 10.9 10.9 11.6 11.7 10.8 10.5 11.5 10.9 10.1 11.1
## [477] 11.7 10.9 9.6 10.8 10.1 10.3 12.3 11.7 11.2 12.1 8.6 11.2 11.3 9.7
## [491] 11.5 11.9 11.2 11.6 11.4 11.6 11.2 11.0 11.3 11.7 10.5 9.8 11.7 10.4
## [505] 11.0 12.2 9.9 11.9 10.3 10.6 10.7 11.8 11.9 11.9 9.9 10.0 11.2 11.6
## [519] 10.6 10.1 12.3 11.2 10.8 12.1 11.4 10.4 11.6 11.5 12.1 10.5 10.1 11.5
## [533] 12.3 11.3 12.2 10.0 11.8 11.6 10.3 11.6 11.5 10.2 9.9 12.0 11.2 11.9
## [547] 11.7 11.6 10.3 10.4 9.6 11.3 10.6 11.3 11.9 10.8 11.6 9.8 10.9 12.0
## [561] 11.9 11.7 11.3 11.9 12.3 9.6 11.8 11.6 9.4 12.3 11.8 9.9 10.7 9.9
## [575] 11.3 12.0 11.9 12.1 11.2 10.3 10.9 12.0 10.4 11.7 11.8 11.6 10.9 11.4
## [589] 12.1 11.9 12.0 12.1 10.6 9.8 12.2 11.9 11.3 9.9 12.2 11.9 12.1 11.3
## [603] 11.0 11.9 11.5 12.2 12.0 8.7 10.7 11.9 12.1 11.2 11.6 11.0 12.3 11.7
## [617] 11.4 12.3 11.7 10.8 11.5 11.6 12.1 10.4 10.1 12.0 11.4 11.7 9.1 11.0
## [631] 12.3 12.3 11.2 11.2 11.9 10.4 12.2 10.9 11.0 11.3 11.8 12.1 11.0 11.7
## [645] 12.2 10.7 10.6 12.3 11.6 11.9 11.2 12.0 12.3 11.6 11.9 12.2 11.7 11.7
## [659] 10.8 9.9 5.8 12.3 10.9 11.9 12.2 9.3 11.9 7.2 9.8 8.3 12.2 11.6
## [673] 10.4 10.5 12.0 11.4 7.6 11.7 10.9 11.6 8.6 10.8 10.1 12.3 12.3 12.2
## [687] 9.5 11.1 12.2 11.1 9.6 12.1 11.5 11.1 11.5 11.4 12.1 11.3 10.9 11.7
## [701] 9.8 12.0 9.2 10.5 10.7 11.1 10.8 11.8 10.3 11.8 12.0 11.1 12.3 12.1
## [715] 12.3 11.2 11.6 9.5 11.7 9.7 10.5 11.7 10.8 11.1 11.3 11.8 11.8 10.5
## [729] 11.4 11.0 12.3 11.7 11.0 11.8 10.6 11.3 11.9 11.8 11.7 12.2 10.0 11.5
## [743] 11.9 11.4 12.2 11.7 10.0 11.5 11.9 11.8 11.7 11.3 12.1 12.3 10.7 10.2
## [757] 11.4 11.7 11.8 11.2 9.0 8.7 9.5 12.2 10.8 11.9 11.6 11.4 12.2 11.8
## [771] 10.4 11.1 11.9 12.2 12.3 9.7 10.4 11.7 12.2 10.8 11.7 9.9 11.1 11.8
## [785] 10.6 10.8 11.9 11.0 9.4 12.0 9.4 11.3 9.9 12.3 10.8 10.6 12.2 12.3
## [799] 10.8 10.4 11.8 11.6 12.2 11.5 11.4 9.5 9.8 11.4 11.1 7.7 10.9 11.4
## [813] 9.9 11.7 11.7 11.8 11.7 11.8 11.2 33.4 12.0 9.7 10.0 9.1 12.1 11.3
## [827] 11.2 11.2 11.3 10.3 12.3 11.9 9.2 10.5 11.4 11.4 11.0 12.2 11.8 11.6
## [841] 10.2 9.5 12.1 11.6 12.1 11.5 10.3 10.8 9.4 11.6 9.7 9.9 10.2 11.5
## [855] 12.2 11.9 10.0 10.9 9.5 11.5 9.7 11.8 11.7 11.7 10.3 12.2 9.7 12.2
## [869] 9.8 11.7 11.1 12.0 10.7 9.4 11.4 10.9 10.5 11.5 8.7 10.3 9.5 10.6
## [883] 11.2 10.7 10.4 9.1 11.5 10.7 10.4 11.0 9.7 10.8 11.0 11.6 11.1 10.7
## [897] 11.6 10.9 12.1 11.6 10.5 11.9 12.0 10.7 12.2 8.4 11.9 11.7 9.5 10.1
## [911] 9.0 11.1 12.1 12.2 12.3 9.6 11.6 12.2 8.6 11.8 11.2 10.5 10.1 9.3
## [925] 12.3 11.3 11.3 10.1 12.1 12.1 12.0 11.2 11.8 12.2 7.9 11.2 11.0 11.0
## [939] 10.4 11.1 12.3 11.1 11.4 10.6 10.2 12.3 12.1 12.2 11.3 11.1 10.3 11.2
## [953] 11.9 12.2 9.0 12.2 11.9 11.4 10.5 9.0 10.8 11.5 11.8 11.0 11.9 10.7
## [967] 10.7 12.2 11.1 9.9 10.6 11.4 11.6 12.3 10.2 11.7 11.6 9.5 11.4 11.2
## [981] 11.6 11.2 11.8 11.0 11.5 12.3 11.0 12.0 12.2 10.9 11.8 11.4 12.0 11.3
## [995] 9.0 10.0 12.0 11.3 11.9 11.7 10.5 11.5 10.8 11.7 11.2 12.3 10.9 10.1
## [1009] 12.2 11.5 11.0 8.7 11.2 10.2 11.3 10.3 12.2 11.1 11.5 10.9 12.3 11.8
## [1023] 9.0 11.9 10.4 10.7 11.6 12.1 11.2 11.1 11.3 11.7 11.5 12.2 12.1 10.2
## [1037] 11.5 9.6 10.8 10.9 12.2 10.9 12.2 11.3 12.0 12.3 12.0 10.2 12.1 12.0
## [1051] 10.7 11.5 11.0 12.3 11.0 10.6 11.7 10.4 11.8 11.4 12.1 9.8 12.3 9.0
## [1065] 11.8 11.3 11.0 11.3 11.4 12.0 11.7 12.0 9.9 11.2 11.5 12.2 12.3 10.3
## [1079] 12.1 11.5 11.8 11.3 11.3 11.8 11.9 11.8 12.2 12.0 9.6 8.7 10.2 11.3
## [1093] 11.4 11.5 10.0 11.9 11.2 10.3 11.2 11.9 10.8 11.0 12.1 11.5 10.5 10.8
## [1107] 11.3 11.6 11.5 11.2 12.2 11.6 12.0 11.0 11.5 10.7 11.8 11.8 11.9 9.9
## [1121] 11.4 10.8 11.7 11.0 12.0 12.2 11.0 11.0 10.4 12.1 11.0 11.7 10.4 10.3
## [1135] 11.2 12.0 12.1 11.8 12.1 8.3 11.8 11.7 11.2 10.0 9.5 10.8 9.5 10.4
## [1149] 11.8 11.8 11.5 9.4 11.8 10.5 11.5 12.0 10.9 10.9 11.4 10.7 12.0 9.9
## [1163] 10.9 11.3 10.6 11.1 10.2 11.9 12.3 11.9 10.2 10.3 9.9 10.7 11.6 9.4
## [1177] 10.8 10.5 10.0 11.6 11.8 12.2 11.8 11.6 11.8 12.2 11.5 9.6 9.4 12.3
## [1191] 11.8 11.9 11.4 10.2 11.8 10.6 12.2 11.6 11.6 12.3 11.8 10.5 10.8 10.9
## [1205] 9.8 12.2 10.0 12.1 10.0 9.9 10.2 10.7 11.7 12.3 12.3 10.1 10.0 11.9
## [1219] 11.9 11.9 11.2 11.4 11.7 11.3 11.8 11.3 10.7 11.4 11.8 10.9 11.0 10.6
## [1233] 11.3 9.0 12.3 11.3 11.6 9.7 12.2 10.7 11.2 9.7 10.3 11.0 10.9 11.1
## [1247] 10.1 10.6 11.5 11.0 10.9 11.3 12.3 11.3 12.1 10.9 11.2 11.0 11.0 11.7
## [1261] 11.3 11.5 10.7 8.0 11.6 11.8 7.2 11.8 10.9 11.8 10.1 9.7 10.7 12.1
## [1275] 11.8 11.6 10.4 11.2 11.5 11.5 11.7 10.5 11.5 12.0 11.7 11.4 9.8 11.6
## [1289] 10.2 12.1 11.6 12.2 10.5 12.0 9.3 8.7 11.2 9.5 10.7 11.6 11.4 12.0
## [1303] 12.3 10.6 11.8 12.2 11.6 11.6 11.3 12.2 11.8 11.4 11.7 11.0 10.4 10.8
## [1317] 11.6 11.5 9.3 11.6 11.6 11.5 10.6 12.1 10.3 11.8 11.8 7.9 10.6 11.4
## [1331] 11.9 11.6 11.6 11.7 9.9 11.9 12.3 6.3 12.2 10.2 11.3 11.0 12.3 12.2
## [1345] 11.9 11.2 11.4 11.6 11.8 12.1 12.1 11.0 12.1 11.3 12.3 12.3 11.6 12.3
## [1359] 10.3 12.3 11.6 10.2 10.8 11.2 11.4 11.3 9.0 11.0 11.7 11.9 10.5 10.6
## [1373] 11.8 10.3 10.8 9.9 11.9 11.1 12.2 10.5 12.0 11.3 11.1 11.0 12.3 11.8
## [1387] 9.8 10.8 11.5 11.4 9.0 10.1 11.3 7.8 11.9 11.2 11.3 11.1 11.8 9.7
## [1401] 12.3 12.3 10.2 10.5 12.3 11.7 11.8 12.1 9.4 12.2 11.9 12.3 11.3 9.3
## [1415] 11.4 11.5 11.3 9.4 10.5 11.3 12.3 12.3 7.6 11.2 10.3 10.4 11.6 11.8
## [1429] 12.3 11.3 11.8 11.3 11.9 10.6 9.5 12.2 11.6 10.5 11.1 12.2 11.9 11.0
## [1443] 11.7 12.3 11.4 10.7 12.3 12.3 11.4 11.3 12.0 11.2 9.0 11.3 11.2 12.0
## [1457] 11.3 11.4 11.5 10.5 11.2 12.3 10.8 12.1 11.3 10.0 11.8 11.5 11.4 11.2
## [1471] 11.7 11.4 10.5 10.8 10.0 10.6 11.8 10.5 10.8 12.0 11.4 10.8 11.9 12.1
## [1485] 11.3 10.4 11.9 11.9 10.3 12.1 33.2 11.1 11.7 11.4 11.2 10.9 10.4 12.0
## [1499] 12.3 9.6 11.5 10.2 12.3 11.3 12.0 10.9 11.0 10.0 12.2 11.6 10.0 11.8
## [1513] 11.3 12.2 11.3 10.2 10.2 10.7 10.6 11.0 10.0 9.4 10.0 11.6 11.4 10.9
## [1527] 11.1 11.8 11.0 11.4 12.0 12.3 10.5 10.8 11.7 11.0 12.0 12.3 10.8 11.2
## [1541] 10.3 11.1 12.1 9.1 10.1 11.4 10.7 11.4 12.2 12.3 11.8 10.3 12.0 11.8
## [1555] 11.5 11.7 11.7 12.3 12.1 10.6 12.1 11.9 11.7 12.0 10.9 11.7 12.2 10.3
## [1569] 10.7 11.6 11.2 10.9 8.4 10.6 12.1 12.1 11.5 10.6 11.6 12.0 9.3 11.3
## [1583] 11.4 10.3 9.6 11.6 11.5 9.8 11.0 11.4 12.2 11.0 12.2 11.7 11.6 10.7
## [1597] 9.6 10.4 9.7 12.3 12.1 10.5 11.5 12.2 11.5 10.8 11.6 11.0 10.5 10.3
## [1611] 10.0 11.2 12.2 12.3 10.7 12.2 10.7 9.8 12.1 11.8 12.0 11.8 12.0 12.1
## [1625] 12.0 10.8 10.1 12.0 12.0 9.4 10.9 11.4 11.7 12.0 10.5 11.8 10.8 10.4
## [1639] 9.7 8.7 10.9 10.1 10.2 10.8 12.1 12.1 12.0 8.3 10.7 9.5 11.5 11.8
## [1653] 11.3 10.8 10.3 11.5 11.4 10.5 10.6 11.2 11.8 10.9 12.2 10.0 11.7 12.3
## [1667] 12.0 8.4 11.5 10.2 11.0 11.3 11.0 11.5 11.2 12.3 12.3 11.4 11.5 11.4
## [1681] 10.3 11.7 10.3 12.1 11.1 10.2 11.2 11.5 11.5 10.3 10.1 10.7 12.3 9.9
## [1695] 11.0 9.4 10.4 11.7 11.6 12.0 10.3 12.0 9.7 11.8 11.7 11.7 11.7 12.3
## [1709] 10.4 9.7 10.6 9.9 11.6 11.4 10.2 11.5 11.5 11.7 12.2 10.7 12.3 11.8
## [1723] 11.2 10.3 12.3 10.5 11.0 11.7 11.4 12.1 11.9 11.7 11.4 9.6 10.9 10.6
## [1737] 12.0 11.6 12.1 11.5 11.6 10.1 11.7 12.0 11.2 10.6 11.5 10.7 10.0 11.8
## [1751] 10.6 11.3 11.5 10.3 11.3 11.9 11.2 7.6 11.4 10.2 10.0 11.0 12.2 11.7
## [1765] 11.8 11.2 11.1 12.1 11.6 11.2 10.6 12.2 10.9 12.3 11.7 11.9 8.6 12.1
## [1779] 11.5 11.4 8.4 10.9 10.5 12.2 11.7 10.0 11.9 11.8 11.5 11.5 11.7 12.1
## [1793] 11.9 11.2 12.2 11.9 11.5 11.6 12.1 10.4 11.7 11.4 8.7 12.1 11.3 11.7
## [1807] 9.4 12.3 11.4 11.9 12.2 10.8 11.6 9.1 11.9 9.1 11.5 8.3 11.5 12.2
## [1821] 11.7 11.5 12.2 11.9 12.0 10.6 12.1 11.8 11.7 11.5 12.2 10.6 11.4 10.9
## [1835] 12.1 11.6 9.8 10.1 11.7 11.4 9.0 11.2 6.8 11.5 11.3 11.4 11.9 12.3
## [1849] 10.0 12.3 10.8 8.3 11.6 11.3 11.3 11.3 10.7 10.6 10.5 11.8 11.7 11.3
## [1863] 11.6 9.6 11.6 10.0 11.6 11.0 11.8 12.1 10.6 11.6 12.2 11.9 10.3 10.8
## [1877] 11.1 9.3 11.4 12.1 11.7 11.0 10.4 11.5 12.2 11.4 9.3 11.2 11.6 12.3
## [1891] 9.8 12.1 11.5 10.8 12.3 9.6 9.8 12.2 12.0 11.6 9.6 9.5 11.0 11.6
## [1905] 9.4 9.8 11.2 12.2 9.5 12.0 11.5 12.3 9.9 12.2 12.0 11.8 11.6 12.3
## [1919] 12.3 5.1 10.7 11.0 11.6 11.1 11.9 10.1 11.4 11.8 11.5 9.0 11.2 11.8
## [1933] 9.0 11.6 10.7 11.5 11.8 11.5 10.7 12.0 11.7 10.7 10.1 11.5 12.3 12.2
## [1947] 12.1 10.9 11.2 10.1 11.8 10.2 10.7 10.6 12.1 10.7 9.5 8.5 11.1 12.2
## [1961] 11.8 11.5 12.0 11.4 12.2 10.7 8.5 10.7 9.8 11.9 10.9 10.7 12.1 11.5
## [1975] 12.3 10.8 11.7 10.5 11.6 11.2 11.9 12.2 11.5 11.6 11.5 12.0 11.3 12.3
## [1989] 12.2 11.8 11.5 11.2 11.7 11.1 11.4 12.1 10.3 9.3 12.0 11.5 7.6 12.1
## [2003] 9.4 12.3 11.5 10.7 10.6 9.9 11.8 11.4 11.7 12.2 11.3 10.4 11.0 10.3
## [2017] 11.8 11.9 11.2 12.3 11.8 11.4 12.3 11.1 9.7 11.7 9.0 11.8 11.1 12.3
## [2031] 10.5 10.0 11.6 10.6 11.2 9.9 11.9 9.6 11.0 12.2 11.1 12.2 9.1 12.1
## [2045] 11.7 9.7 11.7 12.3 10.8 12.3 9.8 10.2 10.9 12.1 11.5 12.3 11.6 8.4
## [2059] 10.0 11.9 33.3 12.0 10.6 11.1 11.3 9.2 12.3 11.8 11.3 12.2 11.7 11.6
## [2073] 12.0 11.7 11.1 11.5 11.2 11.3 10.5 9.4 11.9 11.5 12.0 12.0 10.8 12.1
## [2087] 11.7 11.4 10.5 12.2 11.9 11.5 11.4 11.9 12.1 12.1 11.9 11.7 11.3 12.3
## [2101] 11.9 12.3 11.9 11.8 11.7 10.1 9.6 10.1 11.5 10.9 10.6 12.3 10.0 12.1
## [2115] 11.1 11.5 11.9 12.1 9.4 11.8 10.8 12.1 9.3 10.3 9.9 9.2 11.8 11.0
## [2129] 12.1 12.2 11.9 10.0 8.9 8.6 11.8 12.2 8.8 11.0 10.4 12.3 11.3 11.6
## [2143] 10.3 11.2 11.1 11.6 6.9 11.8 10.8 11.5 11.9 11.5 12.3 8.5 11.4 11.7
## [2157] 10.5 11.5 10.9 10.8 12.1 10.6 8.1 11.0 10.8 11.8 10.0 10.8 11.0 9.4
## [2171] 10.6 10.4 11.8 11.5 8.7 11.8 12.3 11.7 12.3 11.6 10.7 11.5 9.9 9.4
## [2185] 11.2 12.1 11.3 11.5 10.5 12.2 11.3 11.7 8.6 10.7 10.2 10.3 11.3 11.9
## [2199] 12.1 11.7 11.8 11.2 12.2 10.1 10.6 11.7 10.8 12.1 9.4 12.0 11.2 12.3
## [2213] 9.4 12.0 9.8 10.9 12.0 11.4 12.2 11.3 11.5 7.7 11.0 11.2 12.3 12.3
## [2227] 10.5 12.2 12.3 10.7 10.0 9.8 12.1 9.5 8.9 11.9 10.5 11.6 11.6 9.6
## [2241] 12.3 11.5 11.9 11.6 9.2 11.5 11.0 11.7 11.2 11.9 12.2 11.5 9.1 11.9
## [2255] 11.5 11.2 11.8 11.8 8.8 11.1 12.2 10.2 8.2 10.6 12.1 11.8 11.6 9.4
## [2269] 11.8 11.7 10.3 11.3 10.0 9.5 12.0 11.4 11.7 11.6 11.1 11.9 11.4 9.3
## [2283] 12.3 11.9 11.8 10.8 11.2 11.9 11.3 10.7 11.0 11.3 10.2 12.3 11.6 11.2
## [2297] 12.1 12.1 11.7 10.6 11.6 12.1 8.6 9.0 12.2 8.0 12.3 11.5 12.0 11.0
## [2311] 12.3 12.0 12.1 11.2 12.3 11.6 12.1 12.1 11.1 10.6 11.9 11.6 12.1 10.1
## [2325] 11.3 11.2 11.4 11.6 12.3 11.6 10.7 9.5 8.8 12.1 11.5 10.0 9.4 11.5
## [2339] 11.9 10.8 10.1 11.0 11.2 7.7 11.2 12.3 7.8 12.2 12.3 10.5 11.8 10.0
## [2353] 12.0 8.7 11.7 12.2 12.3 12.3 12.0 12.3 11.2 12.0 11.1 12.1 11.9 11.9
## [2367] 11.3 9.4 11.8 11.5 9.4 12.2 11.4 10.4 10.9 11.3 10.1 12.1 33.8 11.8
## [2381] 9.9 11.5 10.6 12.0 11.9 11.6 12.0 11.2 11.8 8.8 10.6 9.7 11.4 10.5
## [2395] 11.0 11.8 10.9 11.9 11.8 11.3 11.8 8.0 12.1 10.2 12.2 10.7 11.5 9.7
## [2409] 11.2 11.4 7.7 11.7 12.1 12.0 11.8 12.3 12.3 10.2 10.6 10.3 9.7 11.2
## [2423] 12.3 10.6 11.5 11.5 11.7 12.3 10.4 12.0 11.5 11.8 11.9 11.4 10.2 11.4
## [2437] 11.4 11.6 10.7 9.8 11.0 11.0 11.5 12.1 11.6 11.8 12.2 10.7 10.3 10.4
## [2451] 11.9 11.7 11.5 10.9 10.2 11.9 11.6 9.4 11.1 11.5 9.1 9.0 11.9 11.4
## [2465] 10.6 10.8 12.2 11.5 8.3 12.1 9.3 12.2 9.9 11.3 10.9 11.8 10.6 11.7
## [2479] 12.2 11.4 11.9 12.2 12.1 10.4 9.9 11.5 9.7 12.1 11.9 9.4 12.0 11.5
## [2493] 11.3 11.7 10.2 11.8 12.0 9.5 10.8 10.3 12.3 11.6 11.6 11.9 10.2 11.4
## [2507] 9.7 9.5 8.5 11.6 11.5 10.9 12.2 8.6 11.4 11.1 10.3 12.2 11.4 9.2
## [2521] 10.8 11.5 11.7 11.2 12.1 12.0 11.6 11.9 12.1 11.1 10.7 11.2 8.5 11.7
## [2535] 11.0 10.6 10.0 10.2 9.8 10.7 11.8 11.5 11.7 8.7 11.7 10.2 11.8 11.2
## [2549] 11.2 12.2 11.5 11.7 11.2 9.8 11.3 10.3 11.7 11.6 11.2 11.3 12.3 10.9
## [2563] 11.5 10.2 11.0 11.8 12.1 8.3 10.0 11.1 10.6 11.5 12.3 12.2 12.2 11.5
## [2577] 11.9 12.3 11.9 7.3 11.2 12.0 12.0 11.5 10.7 10.4 12.3 11.6 11.1 11.2
## [2591] 12.1 12.2 12.2 11.0 12.1 10.8 12.3 11.8 11.7 11.4 11.3 9.6 10.6 12.3
## [2605] 11.5 12.2 11.6 11.8 10.6 11.3 12.2 10.0 11.6 10.1 11.9 10.4 10.7 11.3
## [2619] 11.4 12.1 11.2 10.6 12.1 10.8 9.8 7.7 11.9 12.3 11.5 11.8 11.1 10.0
## [2633] 11.8 11.4 11.8 9.0 12.3 11.9 11.0 9.9 10.2 12.2 12.2 12.2 11.3 8.1
## [2647] 11.1 12.3 10.2 12.3 11.3 12.1 12.1 11.9 11.0 11.8 10.6 11.6 12.2 11.4
## [2661] 10.4 11.8 10.0 12.2 12.2 11.5 12.3 12.2 11.9 12.1 11.5 11.6 11.2 12.0
## [2675] 7.8 11.8 8.2 10.2 9.8 10.5 11.9 11.4 11.6 10.5 11.5 10.1 12.2 10.5
## [2689] 12.1 10.6 10.5 11.7 7.9 10.2 11.4 10.7 11.9 10.5 11.9 12.3 11.2 12.0
## [2703] 10.7 12.0 11.5 11.4 10.1 9.7 12.2 10.3 11.5 12.0 11.2 11.0 11.6 11.2
## [2717] 12.2 10.1 10.0 12.1 11.4 12.3 9.7 11.2 12.1 11.5 11.2 12.0 10.1 10.6
## [2731] 9.8 12.0 8.0 12.0 10.9 11.5 12.2 9.5 12.2 11.3 12.3 10.7 12.3 11.7
## [2745] 11.0 9.5 6.8 11.8 12.2 11.7 9.7 8.5 11.7 33.4 9.6 12.1 10.9 11.5
## [2759] 11.1 8.5 11.5 12.2 11.4 10.2 10.4 11.1 11.4 11.6 11.7 11.2 10.7 12.2
## [2773] 11.2 8.5 10.8 10.1 10.4 11.2 10.8 10.6 11.7 12.2 11.0 10.7 10.5 12.1
## [2787] 11.9 11.6 12.1 12.1 10.8 10.7 10.9 12.0 10.6 10.5 10.4 10.6 9.9 9.8
## [2801] 12.2 11.5 11.5 10.2 11.5 11.5 9.4 12.1 10.7 11.5 11.2 12.1 12.1 12.1
## [2815] 10.5 10.9 9.3 10.7 10.9 9.6 10.6 11.8 12.0 11.0 11.1 12.0 12.1 8.9
## [2829] 10.5 11.9 11.7 10.9 12.3 11.6 12.1 10.6 11.1 33.5 11.2 9.6 12.3 10.4
## [2843] 11.6 11.5 11.9 11.6 10.0 8.0 11.2 10.8 11.4 11.9 11.2 9.5 9.0 12.3
## [2857] 10.5 11.2 11.6 10.5 9.9 10.5 12.2 11.9 12.2 11.8 9.7 10.4 9.1 10.2
## [2871] 11.5 11.8 11.4 9.4 10.3 11.0 11.0 10.5 12.2 11.5 11.3 9.3 10.5 9.8
## [2885] 10.4 10.6 10.8 11.4 10.6 11.2 9.2 10.4 9.9 12.1 10.5 9.3 11.4 10.9
## [2899] 11.7 11.0 11.8 11.7 12.1 11.2 9.4 12.1 11.6 6.2 8.8 11.2 11.8 12.1
## [2913] 9.7 12.2 10.6 11.2 11.2 11.7 12.2 12.3 12.0 11.6 12.0 12.3 11.3 12.0
## [2927] 8.6 11.5 12.0 10.8 11.9 8.5 12.3 12.2 9.8 10.9 11.7 11.4 11.5 10.8
## [2941] 9.3 12.1 11.2 11.6 10.7 11.1 11.7 10.7 10.4 12.1 11.7 11.8 10.6 11.4
## [2955] 11.5 10.2 11.9 10.7 11.1 12.2 8.4 11.9 6.3 8.6 9.8 12.2 8.3 10.2
## [2969] 11.9 11.1 10.6 12.1 10.4 10.8 11.3 10.7 12.2 11.9 11.1 9.9 11.3 10.6
## [2983] 11.6 10.2 11.8 11.7 10.1 11.7 10.5 11.1 9.7 11.8 12.1 10.5 11.1 10.0
## [2997] 12.3 10.2 11.6 10.5 12.0 11.6 11.4 10.7 11.4 10.7 12.3 11.5 12.3 10.7
## [3011] 11.4 12.2 10.2 11.9 10.9 11.0 12.3 12.1 12.1 11.5 12.2 8.1 10.0 11.7
## [3025] 11.1 11.6 10.9 10.7 10.7 12.0 11.5 11.8 10.4 11.8 11.8 12.0 10.7 11.0
## [3039] 9.7 12.3 10.4 10.0 10.6 11.3 10.7 10.3 11.5 10.7 12.3 11.6 10.0 11.1
## [3053] 12.1 11.3 11.2 9.2 10.3 9.9 10.6 11.4 11.9 11.8 11.8 11.0 9.6 10.3
## [3067] 11.7 10.8 12.3 9.4 11.6 11.4
print(df_4_anomalies_temp_min)
## [1] 12.3 11.2 11.5 10.9 10.5 11.6 12.2 11.6 11.3 12.2 11.1 11.0 11.1 11.0
## [15] 10.2 10.9 11.5 11.7 10.5 11.0 11.4 10.4 11.4 9.8 10.8 10.0 11.6 12.3
## [29] 9.8 11.5 10.1 11.7 11.8 11.4 11.1 11.9 9.0 11.9 12.3 10.8 9.1 10.7
## [43] 12.0 10.0 11.1 11.1 11.6 6.3 11.2 11.3 10.7 10.1 9.3 12.2 9.2 10.1
## [57] 10.5 11.5 10.9 11.5 11.5 12.2 11.4 12.0 10.5 9.5 10.3 10.3 11.0 10.3
## [71] 11.6 11.6 12.1 12.3 11.0 12.3 11.0 11.2 9.9 11.6 10.3 11.8 10.9 9.0
## [85] 10.4 12.2 11.6 12.1 11.5 11.4 10.9 12.0 10.6 11.5 10.9 9.7 11.7 11.7
## [99] 11.0 11.9 11.8 10.8 10.7 11.0 10.8 12.2 7.7 11.8 11.8 7.7 10.1 11.9
## [113] 12.2 12.0 11.2 11.8 12.0 12.2 9.7 11.9 12.0 11.6 12.0 12.2 9.4 11.8
## [127] 11.1 11.8 12.3 10.7 11.6 12.2 12.1 9.7 9.8 11.4 10.1 10.7 11.8 12.0
## [141] 10.2 12.3 12.2 11.2 12.3 11.3 11.8 8.8 9.4 11.4 10.2 10.5 11.6 10.3
## [155] 12.1 11.8 10.6 11.4 11.1 12.1 8.5 12.2 11.7 11.1 11.2 10.9 11.4 11.8
## [169] 11.5 11.5 12.3 9.2 12.2 9.7 8.4 9.1 10.7 12.1 7.3 11.9 12.3 11.2
## [183] 10.4 12.1 12.3 11.2 12.0 11.0 11.9 12.1 10.4 11.5 10.7 12.1 9.1 9.2
## [197] 11.0 10.9 8.9 11.6 10.6 11.7 11.8 12.3 11.4 9.1 12.1 10.0 12.0 11.2
## [211] 11.3 10.9 10.8 10.2 10.7 11.7 11.4 10.5 11.5 11.6 9.9 11.4 12.1 12.1
## [225] 10.3 10.1 11.4 10.5 11.5 12.3 10.9 9.9 12.1 12.3 11.5 10.6 11.5 12.1
## [239] 10.3 10.0 12.3 12.0 10.1 12.3 12.2 11.7 10.9 12.3 11.6 12.3 11.4 11.7
## [253] 11.8 11.5 10.9 11.9 11.3 11.5 11.4 11.4 10.3 11.5 12.2 12.2 11.8 10.8
## [267] 12.3 10.2 12.1 11.2 10.4 10.2 33.9 11.8 10.8 10.0 11.2 11.3 10.4 10.8
## [281] 10.4 11.4 11.8 8.9 11.1 11.4 9.9 12.1 10.7 12.3 8.4 11.9 11.7 9.3
## [295] 12.1 9.9 11.7 10.7 10.3 10.5 11.8 11.2 7.4 11.2 11.6 12.1 9.9 9.9
## [309] 12.0 11.0 10.4 10.7 10.9 10.3 11.4 12.3 12.0 11.2 9.9 10.6 11.0 11.5
## [323] 11.7 12.3 11.3 11.6 12.1 10.6 10.5 11.2 12.3 10.1 11.9 11.2 11.7 11.4
## [337] 11.0 12.3 10.5 11.8 12.0 11.3 10.9 8.3 12.0 12.2 12.3 11.4 11.3 8.9
## [351] 10.1 11.0 12.3 9.6 10.1 11.6 11.6 10.5 12.1 12.1 12.0 10.1 11.8 11.2
## [365] 11.2 11.7 9.7 9.5 11.3 11.4 12.2 10.4 12.0 9.0 11.8 9.6 10.8 11.7
## [379] 12.2 11.7 10.8 11.2 11.3 11.6 8.7 8.7 11.5 9.8 11.8 12.0 11.7 8.9
## [393] 12.3 10.8 12.0 12.3 10.0 11.4 11.7 10.3 11.5 11.2 11.5 12.0 11.4 10.9
## [407] 11.1 11.9 12.3 9.8 11.3 8.7 11.5 10.3 11.5 9.9 11.8 11.2 11.0 10.9
## [421] 10.6 10.6 10.4 11.2 12.2 10.8 9.9 11.1 12.0 11.6 10.3 10.8 11.1 10.4
## [435] 8.7 11.1 10.8 11.2 9.6 11.6 10.5 12.0 12.2 12.3 10.3 7.6 12.1 9.0
## [449] 11.8 9.1 12.3 9.8 11.5 11.5 10.8 11.5 11.5 11.1 9.9 12.1 9.8 12.3
## [463] 12.0 12.2 11.5 9.2 10.0 11.9 9.6 12.2 11.0 9.7 10.8 8.7 9.4 10.5
## [477] 8.0 10.3 11.5 11.6 10.8 11.0 12.1 12.1 11.2 11.6 11.2 10.1 11.8 10.3
## [491] 11.3 11.3 8.3 11.5 11.2 12.3 12.1 10.7 11.5 11.4 11.8 12.3 10.3 12.1
## [505] 11.2 11.6 11.8 11.6 12.2 12.0 11.7 10.5 12.1 11.9 11.1 11.5 11.5 8.9
## [519] 10.3 11.6 11.8 11.8 12.2 10.2 8.7 11.7 11.8 10.1 11.8 11.5 10.5 12.0
## [533] 10.5 10.7 10.0 10.6 9.0 12.3 12.1 11.0 11.0 11.4 10.2 11.7 11.7 11.5
## [547] 11.6 11.5 9.8 11.5 10.1 11.5 8.6 11.6 10.5 10.3 11.3 10.7 11.6 11.5
## [561] 11.4 12.2 11.1 10.8 10.0 10.6 11.4 11.1 11.0 11.5 12.2 11.6 12.0 12.0
## [575] 12.2 10.3 12.2 9.3 11.9 11.9 11.6 10.6 11.0 11.8 12.0 12.0 12.0 12.2
## [589] 12.0 10.9 10.0 9.4 11.6 10.6 11.0 9.4 11.1 12.1 9.7 11.9 11.2 11.6
## [603] 10.5 12.0 11.8 11.9 12.0 11.3 12.3 11.5 12.2 12.2 11.6 10.9 10.4 8.7
## [617] 10.5 11.2 11.7 11.1 11.8 10.8 11.9 11.3 12.0 11.5 10.2 11.4 11.0 10.0
## [631] 11.8 11.3 10.0 12.1 11.7 11.8 12.3 12.2 11.2 11.8 11.2 12.3 12.3 9.5
## [645] 11.9 11.7 11.6 11.6 9.7 12.2 9.5 12.0 11.0 12.3 12.0 11.8 11.5 11.3
## [659] 11.6 12.3 12.0 10.3 11.7 10.4 11.8 12.1 11.9 11.6 12.2 10.1 11.3 9.7
## [673] 11.8 10.0 11.4 11.0 12.0 12.1 11.6 11.4 9.6 9.5 9.9 11.5 11.7 9.5
## [687] 11.8 9.4 11.8 7.9 12.3 9.8 9.5 8.0 11.6 12.3 12.3 11.5 10.4 11.4
## [701] 11.8 11.9 11.7 12.3 11.8 7.8 12.1 11.5 11.4 11.7 11.5 11.7 10.6 11.5
## [715] 11.5 11.5 11.2 11.4 11.5 10.2 10.5 12.1 10.6 9.7 10.6 12.3 11.4 11.5
## [729] 9.5 11.3 11.4 11.5 12.3 11.6 12.1 11.8 12.0 10.3 12.0 12.2 11.7 11.4
## [743] 11.5 12.1 11.4 9.9 10.1 10.8 11.8 11.0 11.9 11.6 8.6 11.6 12.3 11.9
## [757] 12.3 10.2 11.2 10.3 11.6 12.2 11.2 10.8 12.2 11.1 11.0 9.1 10.0 10.9
## [771] 10.4 11.8 11.8 11.4 9.8 11.1 12.0 11.4 11.4 11.5 10.4 10.9 11.9 11.5
## [785] 11.9 12.0 11.9 10.6 8.6 12.3 11.5 11.5 11.3 11.6 7.7 12.0 9.8 12.2
## [799] 11.7 11.4 10.9 10.3 12.3 10.9 12.0 9.9 12.2 11.8 11.1 10.9 11.2 11.7
## [813] 11.3 10.6 9.5 12.2 11.4 10.8 10.3 11.0 11.9 10.5 8.8 10.4 12.3 11.6
## [827] 10.1 11.7 10.8 11.8 12.3 10.7 7.7 11.9 11.2 12.2 9.3 10.7 11.7 11.0
## [841] 12.2 11.8 12.1 11.8 10.5 11.3 11.8 12.0 10.3 11.4 8.7 11.5 11.4 9.6
## [855] 11.6 10.7 11.8 12.2 11.2 11.1 11.6 12.0 10.7 10.1 9.9 11.3 12.0 10.9
## [869] 12.3 10.5 12.1 12.3 11.9 10.3 12.3 12.3 9.4 10.9 10.6 10.9 11.3 11.9
## [883] 11.6 11.4 12.1 10.9 12.2 11.3 11.4 11.3 9.7 10.6 11.7 11.9 11.5 10.7
## [897] 11.6 9.8 9.9 10.3 9.4 9.6 10.6 11.8 10.9 11.8 11.0 12.3 11.3 12.2
## [911] 12.3 11.1 11.6 11.8 11.5 12.0 12.0 11.3 12.2 12.2 8.3 11.7 11.4 11.6
## [925] 11.9 12.3 11.9 11.2 11.0 12.3 9.8 12.3 9.0 9.2 10.7 11.1 11.1 11.7
## [939] 10.5 11.7 10.5 11.6 10.8 12.2 10.5 11.1 10.1 12.0 10.0 11.6 10.8 11.7
## [953] 11.2 12.0 9.4 12.2 12.2 11.8 9.1 11.3 11.9 10.9 9.0 10.4 10.3 12.1
## [967] 11.9 11.4 12.3 9.5 11.4 12.3 9.7 10.8 8.7 11.4 11.8 11.1 9.8 11.1
## [981] 11.0 11.9 11.6 10.3 12.0 11.1 12.3 11.8 11.2 10.7 11.7 11.4 11.3 12.3
## [995] 10.0 10.5 10.7 11.8 10.3 12.2 9.8 11.1 9.7 11.7 11.6 12.3 11.8 11.9
## [1009] 10.6 11.6 11.2 11.0 11.7 11.5 11.7 10.3 11.5 11.3 9.9 10.8 11.6 11.5
## [1023] 10.6 11.7 9.2 11.7 11.1 11.7 10.6 12.3 10.7 10.0 12.2 11.9 11.1 12.3
## [1037] 11.3 11.4 10.2 11.2 11.4 12.1 11.5 11.5 9.5 11.4 11.2 11.1 11.6 9.9
## [1051] 12.0 11.8 11.7 11.6 12.1 11.7 10.7 12.2 11.9 11.7 10.7 11.3 11.6 12.1
## [1065] 12.2 11.3 10.0 12.3 12.1 11.8 11.8 12.3 12.0 11.8 12.2 11.7 11.5 11.8
## [1079] 11.7 11.6 10.9 12.3 33.8 11.6 12.1 11.7 10.6 11.9 11.7 12.2 12.3 11.0
## [1093] 12.0 11.3 10.2 11.2 11.8 9.9 11.7 9.1 10.6 10.3 9.9 11.5 9.9 11.1
## [1107] 12.1 12.1 11.9 9.1 10.6 9.4 9.4 11.5 11.1 11.3 9.5 12.1 11.0 10.1
## [1121] 11.0 8.3 12.0 8.8 9.4 12.2 11.7 12.0 11.1 11.8 12.3 11.7 11.8 11.2
## [1135] 11.1 10.4 8.7 12.3 11.7 11.2 10.9 12.0 10.7 9.4 10.5 9.9 9.6 11.3
## [1149] 12.3 11.6 12.0 11.0 12.0 12.1 11.6 11.8 11.9 11.4 12.3 12.0 10.6 11.2
## [1163] 11.6 11.9 11.1 11.0 11.2 12.0 11.3 8.4 10.1 11.0 11.8 11.7 12.1 11.4
## [1177] 12.1 12.2 12.2 11.4 10.7 10.5 11.3 11.2 12.0 9.8 11.6 12.3 12.2 10.9
## [1191] 12.1 11.7 11.5 10.1 11.0 10.4 11.7 11.6 12.3 11.3 12.1 12.3 11.7 11.3
## [1205] 11.4 10.8 9.7 10.2 11.8 10.5 11.8 11.7 9.0 9.5 12.2 11.5 10.9 11.8
## [1219] 11.1 9.2 11.5 12.0 11.6 9.9 9.7 9.8 11.7 9.7 10.6 11.6 11.2 10.0
## [1233] 12.2 12.3 10.9 11.2 10.9 12.1 12.3 11.1 12.1 10.4 10.2 11.5 9.8 9.5
## [1247] 8.7 10.4 11.3 11.2 9.7 10.8 9.1 11.1 12.2 11.9 8.7 10.6 11.8 11.2
## [1261] 10.2 12.1 9.8 12.3 11.2 11.3 11.8 11.7 11.9 9.8 9.6 11.9 9.7 11.8
## [1275] 12.3 10.6 11.2 9.1 12.0 11.9 12.2 11.7 9.8 10.6 10.8 12.2 11.1 12.3
## [1289] 11.8 9.0 11.6 11.7 11.0 10.7 12.1 11.2 12.3 11.7 7.2 9.9 11.2 11.6
## [1303] 11.0 9.4 12.2 11.3 12.1 9.9 12.2 11.4 11.4 12.3 12.0 12.0 11.4 12.2
## [1317] 10.5 10.5 9.4 9.4 11.0 11.5 11.2 10.6 11.6 11.9 11.4 12.0 12.2 11.9
## [1331] 11.1 12.1 9.0 9.6 12.0 11.3 11.5 12.1 12.1 10.8 11.3 10.0 10.5 12.1
## [1345] 11.3 11.8 11.4 11.8 10.7 10.2 11.5 12.3 9.5 11.7 10.6 10.8 11.5 9.6
## [1359] 12.3 10.7 9.6 11.2 11.5 11.1 11.6 11.9 10.0 11.4 9.9 11.0 12.2 11.3
## [1373] 9.4 10.0 11.8 12.2 10.9 10.9 11.1 9.7 12.2 11.6 12.3 9.4 10.9 9.4
## [1387] 9.8 9.1 10.1 11.5 10.8 12.1 11.4 10.0 7.2 12.1 11.1 11.3 11.6 11.4
## [1401] 11.8 11.6 12.3 11.3 11.6 10.8 12.3 11.4 11.5 12.3 12.1 10.5 11.5 10.6
## [1415] 10.3 12.3 11.4 11.3 9.2 9.3 11.8 7.6 9.9 12.0 11.3 9.6 10.6 11.7
## [1429] 12.2 11.2 10.6 12.1 10.6 11.1 11.6 10.9 10.5 12.3 12.2 11.5 12.1 12.1
## [1443] 11.7 12.1 11.7 12.1 9.7 11.4 7.7 11.3 12.3 11.9 12.1 11.4 12.3 10.3
## [1457] 11.2 11.9 10.6 11.3 12.0 11.5 12.2 9.9 9.7 9.3 8.5 11.5 11.6 11.9
## [1471] 11.7 11.6 11.2 12.1 9.9 11.4 11.8 11.2 11.7 9.5 10.5 11.2 12.0 11.9
## [1485] 11.1 10.5 12.0 9.7 11.9 11.8 11.5 12.2 12.2 10.3 11.0 12.0 11.7 10.6
## [1499] 11.3 10.7 11.4 11.9 11.5 12.1 11.2 11.6 11.9 10.9 12.0 11.3 12.2 10.6
## [1513] 11.1 11.0 12.2 10.5 12.1 11.5 11.4 11.2 9.9 11.6 10.7 8.0 10.6 11.7
## [1527] 11.8 12.1 10.9 9.9 12.3 11.6 11.9 11.9 11.5 11.8 11.7 11.9 9.8 9.3
## [1541] 11.4 11.8 11.8 11.7 11.2 10.8 12.2 9.7 10.3 11.9 10.7 10.7 12.3 9.8
## [1555] 8.1 10.9 10.8 11.9 11.7 12.0 9.2 12.1 11.9 12.1 10.7 12.2 11.5 10.0
## [1569] 11.5 12.0 12.1 11.7 10.5 12.2 11.2 10.0 9.3 10.6 11.7 8.4 11.7 11.2
## [1583] 12.1 12.2 12.2 11.1 10.5 12.2 9.3 11.8 11.9 12.1 11.6 10.2 10.7 9.7
## [1597] 11.0 11.4 11.3 10.9 10.4 11.5 10.6 10.0 11.9 9.3 11.4 11.0 11.5 11.3
## [1611] 11.3 12.0 12.0 12.2 10.3 8.6 9.4 12.0 11.4 12.0 11.2 10.5 10.6 11.5
## [1625] 12.1 12.0 12.1 10.3 11.2 12.3 11.8 10.5 10.4 11.0 11.4 11.8 9.1 11.8
## [1639] 10.0 9.6 10.7 33.3 10.8 11.1 10.1 11.9 9.8 11.7 9.6 11.9 12.1 9.9
## [1653] 10.7 11.0 11.4 11.2 11.3 11.8 11.8 9.3 8.0 11.2 10.3 11.4 11.0 11.8
## [1667] 12.0 11.4 9.9 11.5 11.7 11.2 11.5 12.1 10.7 11.9 12.3 10.4 11.0 11.5
## [1681] 10.7 11.0 12.0 12.0 10.3 11.2 11.2 10.7 10.9 11.5 11.8 11.5 12.0 11.1
## [1695] 11.8 9.6 11.1 10.3 12.1 12.3 11.7 11.9 11.1 11.2 12.1 10.6 11.4 10.6
## [1709] 10.0 12.2 11.3 10.5 8.7 11.5 10.8 12.3 11.0 12.2 10.6 10.6 10.9 10.8
## [1723] 11.8 10.5 10.9 11.9 11.5 10.4 12.2 12.3 11.0 10.0 11.6 10.8 10.5 10.6
## [1737] 10.9 11.9 12.2 12.2 12.2 11.7 10.2 12.0 11.5 11.2 10.5 12.1 10.5 10.0
## [1751] 10.6 11.3 9.3 10.6 10.8 10.0 11.7 10.5 11.6 12.1 11.4 12.2 9.7 12.3
## [1765] 10.9 9.3 12.1 10.8 12.2 11.3 11.7 11.3 9.8 10.9 11.3 11.4 10.5 11.1
## [1779] 12.0 11.2 11.3 11.9 11.4 12.2 11.8 11.5 10.9 12.0 10.4 10.7 11.6 11.1
## [1793] 11.6 11.2 11.3 12.0 10.2 12.2 10.5 11.9 10.7 11.3 11.1 12.3 8.9 9.4
## [1807] 12.1 12.2 10.8 10.7 11.7 11.0 11.5 11.5 10.4 12.3 12.2 10.8 12.1 11.0
## [1821] 9.2 11.7 12.3 10.6 11.3 11.4 12.1 9.4 12.3 12.3 12.0 9.9 10.2 7.8
## [1835] 10.3 10.4 12.3 12.0 10.9 12.1 10.9 9.9 12.1 11.3 11.8 12.1 9.3 12.2
## [1849] 7.3 12.3 11.2 10.9 11.2 11.4 11.0 8.2 7.8 12.0 12.3 11.8 12.3 10.9
## [1863] 12.3 11.9 10.9 11.5 10.7 12.3 12.3 8.3 11.6 12.3 12.0 12.0 9.0 11.4
## [1877] 10.4 12.3 12.3 11.9 11.3 12.0 11.7 9.9 11.1 12.3 11.2 11.0 11.6 12.3
## [1891] 10.0 10.0 10.6 12.3 9.8 11.5 12.0 11.9 10.9 11.8 12.3 11.7 11.9 11.8
## [1905] 11.7 10.1 11.3 11.6 12.3 12.2 9.3 11.6 12.2 10.3 10.6 10.5 10.3 8.4
## [1919] 12.1 11.2 9.9 11.5 11.2 11.5 11.7 11.7 11.7 10.4 11.8 11.9 12.2 11.4
## [1933] 10.1 11.0 10.9 12.1 12.2 11.8 12.2 11.3 12.3 11.4 12.1 11.9 11.7 11.2
## [1947] 11.2 10.9 11.4 10.6 11.7 11.2 10.8 12.1 11.8 12.0 11.3 9.9 10.9 11.1
## [1961] 11.5 12.2 11.6 10.8 11.5 10.1 11.8 12.0 11.6 11.4 11.3 11.9 11.4 10.5
## [1975] 9.7 11.8 9.7 11.8 11.6 10.1 11.6 12.2 12.3 10.9 11.1 9.4 9.3 10.9
## [1989] 11.9 12.1 12.1 9.7 11.6 12.3 10.5 11.4 9.9 11.9 11.2 11.6 11.3 12.3
## [2003] 11.6 11.7 10.0 11.9 11.5 11.7 11.9 10.9 10.3 12.2 10.3 12.2 11.2 11.4
## [2017] 10.8 12.0 11.3 12.2 10.3 9.2 10.9 9.4 12.2 12.3 11.7 12.2 12.2 12.2
## [2031] 11.2 11.8 12.1 10.8 11.6 12.0 9.3 7.4 7.6 10.7 10.5 11.1 8.9 10.8
## [2045] 10.2 10.2 10.6 10.1 11.7 12.0 12.0 9.5 12.0 11.1 11.2 11.5 11.5 9.6
## [2059] 11.2 12.3 11.8 10.8 11.1 12.0 12.0 10.8 10.5 12.2 10.9 12.3 12.0 11.7
## [2073] 10.7 11.5 9.3 7.0 11.0 10.9 11.6 5.6 9.5 10.9 10.4 9.6 10.7 11.9
## [2087] 10.3 12.1 11.9 12.3 10.7 10.6 8.0 8.7 12.3 11.2 9.7 9.7 11.3 8.0
## [2101] 12.1 12.2 11.5 11.6 11.6 9.5 10.0 11.1 33.7 12.3 11.6 11.4 12.0 8.3
## [2115] 11.7 11.2 11.5 10.3 11.9 10.1 11.6 11.6 11.0 11.9 10.7 11.3 12.2 12.1
## [2129] 10.2 12.1 11.9 9.5 10.1 11.6 8.8 10.6 12.1 11.5 10.1 11.8 11.8 12.2
## [2143] 11.0 12.3 10.7 12.2 12.1 10.0 11.9 10.2 11.3 11.5 12.0 10.7 9.3 12.2
## [2157] 11.6 10.4 10.8 12.3 12.3 12.0 11.5 11.7 11.7 11.4 11.5 11.4 11.5 11.9
## [2171] 12.3 11.2 11.1 11.5 10.4 12.1 10.0 10.5 8.8 8.8 11.0 8.3 11.2 11.0
## [2185] 12.1 11.4 11.7 10.1 10.3 10.5 11.0 9.8 11.1 12.1 11.2 10.9 11.6 7.8
## [2199] 12.2 11.4 11.8 11.6 12.1 12.0 10.0 11.3 11.9 9.1 11.4 10.9 10.5 12.3
## [2213] 8.2 12.3 11.3 10.1 11.3 12.3 12.3 10.9 9.4 11.6 11.2 11.9 12.1 9.9
## [2227] 11.9 11.5 8.2 11.6 12.3 12.3 12.3 11.1 12.3 11.9 9.5 11.6 11.6 11.5
## [2241] 12.2 11.0 9.2 11.9 12.2 10.0 11.3 12.3 10.7 9.0 11.5 10.7 12.3 12.0
## [2255] 10.8 11.7 11.5 11.2 10.3 11.2 9.9 10.3 11.6 12.2 11.4 10.2 10.2 11.8
## [2269] 12.0 11.6 12.3 11.5 10.2 12.3 11.4 12.1 11.5 9.9 11.7 12.1 12.2 9.7
## [2283] 11.7 10.6 10.7 12.1 11.6 9.0 10.2 12.0 12.1 9.0 11.9 12.1 8.4 10.8
## [2297] 11.5 11.8 11.0 11.7 12.1 12.3 11.2 11.2 12.2 12.1 12.1 11.7 12.1 11.8
## [2311] 11.9 10.5 11.5 9.0 11.4 11.6 11.5 9.9 11.2 10.9 9.8 9.1 11.5 11.3
## [2325] 11.7 11.8 10.7 12.3 11.4 11.1 9.6 12.0 12.2 12.3 9.1 10.1 11.3 11.9
## [2339] 12.1 12.1 12.0 11.5 11.5 12.0 12.2 11.2 11.6 11.8 11.4 11.5 11.5 10.2
## [2353] 10.7 10.8 9.1 10.5 11.5 11.6 11.2 10.0 11.6 11.4 10.1 9.9 10.9 11.8
## [2367] 11.0 12.0 11.2 9.7 10.7 9.4 11.6 11.6 10.9 12.3 10.7 11.6 12.1 11.6
## [2381] 9.9 11.8 12.1 8.6 10.9 7.6 11.3 11.7 12.2 11.7 11.6 10.3 12.2 10.4
## [2395] 11.3 11.3 11.4 11.6 10.9 11.6 10.2 10.8 11.5 10.4 10.3 12.2 11.5 9.8
## [2409] 12.0 10.6 12.2 9.7 11.0 11.2 12.3 11.0 9.9 11.0 10.4 12.2 12.2 10.0
## [2423] 12.2 10.0 12.0 10.3 11.8 11.3 12.2 10.1 12.0 12.0 10.9 12.2 10.2 11.3
## [2437] 11.3 11.8 9.6 11.8 10.7 12.2 12.3 11.9 11.6 10.1 11.0 11.9 11.2 9.5
## [2451] 12.1 11.9 34.3 10.7 11.3 10.4 11.2 10.8 10.5 10.0 10.2 11.5 9.1 12.3
## [2465] 12.1 10.4 11.2 8.3 11.7 9.7 11.5 10.9 10.6 9.7 11.2 11.8 10.3 11.8
## [2479] 12.1 11.9 10.6 8.3 10.4 11.0 11.9 12.2 12.2 9.0 7.7 10.0 11.3 10.6
## [2493] 10.0 12.2 10.4 11.8 11.9 11.3 11.1 11.3 10.5 10.8 9.3 5.6 11.2 11.9
## [2507] 11.4 12.0 11.8 8.6 11.4 12.1 10.9 11.0 12.3 11.5 12.3 12.2 12.3 10.3
## [2521] 11.0 12.1 10.4 10.0 11.5 11.4 10.7 12.1 12.3 11.6 12.2 9.9 11.2 11.5
## [2535] 11.1 12.1 12.2 9.5 12.1 11.6 12.3 10.3 11.8 12.1 8.5 11.7 10.6 11.0
## [2549] 10.1 11.7 11.1 12.3 11.7 8.7 10.0 10.9 11.9 12.3 8.9 12.1 10.6 10.6
## [2563] 10.1 11.6 11.3 7.9 9.6 12.1 11.9 9.6 10.5 12.2 10.7 11.8 11.5 12.2
## [2577] 9.6 10.4 11.5 10.2 11.8 10.3 10.9 11.9 10.5 12.1 9.0 9.8 12.2 10.2
## [2591] 11.2 11.5 11.4 12.0 12.2 11.2 11.5 8.8 12.2 10.8 9.8 10.9 11.5 11.7
## [2605] 11.3 12.3 9.5 11.9 11.2 10.4 10.7 11.1 12.3 11.6 10.4 10.8 12.1 12.3
## [2619] 8.5 12.2 11.6 10.9 11.9 11.8 11.9 10.0 11.0 11.5 11.4 12.2 12.0 12.3
## [2633] 9.0 9.9 11.1 10.2 10.8 12.2 9.2 11.4 11.5 9.9 10.8 11.0 11.8 12.1
## [2647] 11.1 11.9 10.6 11.3 11.2 11.9 11.4 11.8 10.4 11.9 12.3 11.7 9.4 11.5
## [2661] 12.1 10.9 11.1 11.1 11.2 10.1 11.2 12.3 10.1 12.3 11.0 10.8 12.3 10.0
## [2675] 10.4 11.4 11.7 10.4 11.3 12.0 10.7 12.2 12.2 10.1 9.2 10.8 11.0 11.7
## [2689] 10.8 11.8 10.9 11.9 10.2 11.2 9.9 12.3 11.3 11.5 11.4 11.5 12.3 10.3
## [2703] 11.5 11.7 12.3 10.7 11.7 11.6 12.0 12.1 10.7 12.0 9.2 11.8 12.0 12.0
## [2717] 11.2 11.7 10.8 12.2 10.8 10.7 11.2 12.3 10.8 11.7 11.5 12.3 11.6 10.7
## [2731] 11.9 9.7 12.1 11.1 11.7 12.0 12.1 11.2 10.7 12.2 11.5 8.3 10.5 10.1
## [2745] 11.7 11.2 10.9 12.2 8.3 10.4 12.2 11.4 11.1 12.0 11.4 10.3 11.4 10.3
## [2759] 9.5 12.0 11.8 11.5 10.0 12.1 11.4 11.8 10.5 12.1 11.6 11.0 12.1 10.2
## [2773] 11.5 12.0 10.0 11.0 9.0 11.3 11.7 34.6 9.8 8.2 11.2 11.1 12.0 11.8
## [2787] 12.3 9.4 11.9 10.3 11.2 10.2 11.5 11.4 11.3 12.3 10.6 9.7 11.1 11.8
## [2801] 10.0 11.9 10.6 7.2 11.5 11.2 8.0 10.8 11.7 11.9 12.2 10.3 9.8 11.1
## [2815] 12.0 11.2 10.6 12.2 12.3 10.1 11.8 12.2 12.2 11.9 10.6 11.4 11.9 11.0
## [2829] 10.8 11.3 11.1 11.7 12.0 12.0 11.4 11.7 11.9 12.2 11.8 11.5 11.9 11.1
## [2843] 10.6 12.1 10.4 12.1 12.3 11.5 12.3 9.0 10.9 9.7 10.3 9.3 9.8 10.9
## [2857] 10.7 11.3 11.2 11.8 10.4 11.7 11.4 10.3 11.8 10.6 11.9 10.6 10.4 9.6
## [2871] 12.2 11.0 10.3 10.6 12.3 11.6 10.4 11.0 10.4 10.9 11.0 12.1 10.7 8.3
## [2885] 10.4 10.9 12.0 11.2 8.7 10.9 10.4 12.1 9.2 12.1 11.1 11.2 12.1 11.4
## [2899] 11.9 9.1 10.5 12.2 10.6 10.6 8.4 10.7 11.5 12.2 9.6 12.1 11.5 11.8
## [2913] 9.3 10.3 12.3 11.7 10.8 11.6 11.6 9.7 11.8 11.1 11.8 10.6 10.8 9.6
## [2927] 11.8 11.4 11.7 10.8 11.3 11.4 12.1 8.3 12.2 10.9 11.9 10.0 9.2 10.4
## [2941] 9.4 11.5 12.3 10.0 10.9 10.8 9.6 12.3 11.6 9.7 11.9 12.0 12.2 10.5
## [2955] 11.4 10.2 11.8 12.0 11.5 11.8 11.9 10.1 11.3 11.4 9.7 9.5 12.3 10.7
## [2969] 12.3 10.5 11.9 11.2 9.4 11.5 11.6 12.3 10.9 11.4 9.8 10.9 11.8 9.9
## [2983] 10.3 10.9 11.7 11.3 12.1 12.2 9.9 9.6 11.2 11.3 12.3 11.6 9.8 11.9
## [2997] 11.4 10.3 10.1 12.0 9.6 9.0 12.3 10.9 11.4 11.2 10.9 10.4 11.8 10.4
## [3011] 12.1 12.2 11.8 11.2 8.3 11.5 9.3 11.6 12.3 10.2 9.9 9.6 12.0 10.6
## [3025] 8.5 10.0 10.0 11.4 9.3 12.2 11.5 8.0 11.5 11.6 12.0 11.1 12.3 10.7
## [3039] 11.2 10.8 11.4 12.2 11.6 9.7 12.2 11.6 12.3 9.3 11.7 10.5 11.7 11.1
## [3053] 11.9 11.5 12.3 10.6 12.2 11.5 10.4 10.9 11.7 9.4 11.8 11.5 11.5 12.1
print(df_5_anomalies_temp_min)
## [1] 9.6 11.4 12.2 12.3 9.0 11.5 11.6 7.4 11.4 11.6 11.3 10.2 11.1 10.5
## [15] 12.1 10.7 10.9 8.3 10.3 12.2 11.6 12.1 11.6 11.4 12.0 8.8 9.4 11.1
## [29] 12.3 11.5 11.4 10.0 10.4 11.4 12.0 11.8 11.8 11.1 11.5 11.8 11.9 11.6
## [43] 11.8 11.0 10.4 11.3 11.8 10.7 12.3 12.2 10.4 10.6 10.7 11.0 10.4 11.4
## [57] 9.5 12.3 11.3 10.7 9.6 11.2 10.6 10.2 12.3 9.9 10.9 12.3 11.5 11.4
## [71] 12.0 11.5 11.7 11.5 10.8 11.9 12.0 12.3 12.1 10.9 10.6 8.8 11.5 11.4
## [85] 10.3 12.2 10.7 12.2 11.9 10.1 12.2 9.2 12.3 10.3 10.0 12.1 11.3 11.7
## [99] 11.9 11.0 11.8 10.6 10.2 11.9 11.6 12.3 11.2 11.3 12.1 12.3 10.2 11.0
## [113] 11.2 10.9 11.1 11.6 11.7 12.2 10.6 11.9 10.7 10.0 10.8 10.5 12.0 12.1
## [127] 11.6 11.4 12.0 11.4 11.9 9.5 11.7 12.3 12.3 9.6 10.9 11.1 8.9 11.0
## [141] 7.8 10.0 11.4 11.6 10.9 11.1 12.2 10.2 9.7 12.1 12.2 11.9 11.2 9.0
## [155] 11.8 11.9 12.1 12.1 11.1 11.7 10.6 11.0 11.3 12.3 12.1 10.8 11.6 10.2
## [169] 12.3 11.5 12.2 12.2 10.2 8.3 11.2 12.2 12.1 10.2 12.3 12.2 10.2 12.1
## [183] 10.4 10.2 10.5 9.4 10.8 11.3 12.3 11.6 11.4 11.4 12.1 10.0 10.2 11.0
## [197] 12.1 11.4 9.3 11.6 10.9 12.3 11.7 11.5 10.7 10.0 12.3 11.8 12.2 11.3
## [211] 12.0 9.9 10.8 11.7 10.8 10.3 11.0 9.8 10.9 11.0 10.2 8.7 11.0 12.1
## [225] 11.7 12.0 11.3 11.4 8.6 10.6 10.7 10.8 12.0 7.7 12.2 10.3 11.3 11.8
## [239] 11.2 12.2 10.8 12.2 11.7 11.6 10.4 10.3 11.5 10.8 12.3 11.0 10.6 12.2
## [253] 12.1 12.1 10.8 10.8 11.6 10.4 12.1 11.2 11.6 11.2 10.0 12.2 11.9 11.2
## [267] 10.7 11.7 11.7 12.0 12.1 12.0 12.2 11.1 11.0 10.3 7.8 10.0 9.2 7.8
## [281] 11.8 11.4 11.7 10.6 11.6 12.3 11.7 12.0 9.6 11.7 11.7 12.2 10.8 9.9
## [295] 11.4 10.6 11.8 12.3 10.6 9.2 10.6 12.1 11.4 12.3 9.2 12.1 11.8 9.9
## [309] 11.1 9.8 11.3 9.7 9.4 11.1 9.4 11.6 10.7 12.1 12.2 10.4 11.7 11.8
## [323] 12.0 10.2 10.2 11.4 11.8 8.5 11.6 11.8 11.1 11.9 8.8 10.0 11.7 12.3
## [337] 12.3 10.9 34.1 11.7 7.7 12.1 9.8 11.1 9.9 11.5 10.0 9.5 11.2 9.8
## [351] 11.8 11.1 11.3 10.9 11.9 11.2 8.3 11.8 10.5 11.7 10.8 9.6 10.4 12.2
## [365] 11.0 10.1 12.3 11.0 10.8 12.2 12.3 11.9 10.8 11.2 11.1 11.5 12.0 11.9
## [379] 10.6 12.0 12.0 9.6 10.4 11.4 10.1 11.8 12.3 9.5 11.0 11.6 12.1 12.2
## [393] 11.7 10.6 10.6 10.7 9.9 11.2 12.2 10.7 12.1 11.3 11.6 10.7 11.6 11.0
## [407] 11.6 9.9 10.4 8.7 11.8 11.2 10.9 10.7 9.9 9.7 11.4 10.5 11.4 10.5
## [421] 10.1 11.5 10.9 11.4 11.2 11.6 11.8 9.0 11.0 11.1 11.3 10.3 9.0 8.9
## [435] 11.5 12.3 11.8 9.2 11.8 10.5 11.9 10.3 11.9 11.9 12.2 12.3 12.0 9.7
## [449] 11.2 9.9 9.7 9.7 10.5 11.3 11.4 10.4 10.5 11.7 10.0 11.6 10.4 10.6
## [463] 10.3 10.6 11.3 12.3 9.9 12.0 10.3 11.8 12.3 8.6 11.0 12.0 12.3 8.6
## [477] 11.2 11.6 11.5 11.9 10.4 11.9 12.3 12.1 9.0 10.3 11.8 10.0 11.4 10.9
## [491] 12.3 10.6 9.7 11.0 9.3 11.0 11.7 11.2 9.7 12.2 9.0 12.1 11.9 11.4
## [505] 11.9 10.3 11.8 10.5 11.3 12.0 11.9 9.7 11.7 12.2 9.3 11.6 10.8 10.5
## [519] 10.5 12.2 11.7 11.5 11.3 11.0 12.2 11.6 11.3 12.3 11.0 9.2 12.1 12.2
## [533] 11.2 11.9 11.7 11.5 10.7 10.7 11.2 11.8 11.9 11.9 10.7 11.4 12.1 11.8
## [547] 11.1 12.3 9.9 11.4 10.6 11.8 11.4 11.9 9.7 12.1 9.7 9.6 12.2 10.2
## [561] 11.6 11.8 12.0 11.3 11.7 11.4 12.3 11.9 12.3 11.3 8.4 12.2 11.4 12.0
## [575] 12.1 11.4 11.5 11.5 12.3 10.7 11.9 11.7 10.7 9.4 11.9 11.8 10.9 10.0
## [589] 11.1 11.3 10.3 11.7 12.2 12.2 9.6 11.1 11.7 11.7 10.7 11.7 8.2 11.4
## [603] 9.9 12.2 12.2 12.2 10.4 9.3 11.0 10.9 10.3 10.9 8.8 11.0 11.6 10.8
## [617] 11.8 10.8 11.5 11.0 9.3 11.7 11.9 10.1 12.2 8.5 10.9 12.3 9.3 11.8
## [631] 12.0 10.5 12.2 12.2 12.1 9.3 11.6 11.8 11.3 11.5 12.3 12.3 11.9 9.1
## [645] 12.0 10.6 11.8 11.6 10.6 10.7 12.3 12.0 10.4 11.9 10.7 9.1 12.3 10.5
## [659] 11.6 10.8 11.6 12.2 10.4 10.2 9.4 12.0 11.0 12.2 9.4 12.3 12.3 12.1
## [673] 11.6 12.2 11.9 11.2 10.9 11.2 10.1 11.7 10.7 10.5 11.7 12.3 9.5 11.5
## [687] 11.2 11.9 11.8 6.3 11.4 10.8 10.0 11.3 12.0 11.0 12.3 11.8 11.2 10.2
## [701] 11.0 10.5 12.3 12.1 11.6 11.6 12.0 10.9 10.5 11.2 8.2 10.3 11.4 12.2
## [715] 10.1 11.8 10.7 11.8 11.4 11.8 10.9 11.8 11.3 9.9 9.4 11.4 12.1 11.5
## [729] 11.2 10.8 9.2 12.3 11.9 11.7 11.0 11.6 10.4 11.5 11.8 11.8 12.2 8.8
## [743] 10.0 11.3 10.3 11.6 33.4 11.3 12.2 12.2 11.0 11.8 8.1 11.0 12.0 12.0
## [757] 10.7 11.5 11.9 12.2 11.8 11.4 12.2 33.3 10.3 11.5 12.2 11.8 11.7 11.9
## [771] 11.3 11.8 10.9 10.0 11.7 11.9 11.0 10.6 11.6 9.1 12.1 11.5 9.4 10.6
## [785] 8.3 10.8 11.3 12.1 12.3 12.0 12.0 9.8 11.2 11.8 11.6 10.4 11.0 10.7
## [799] 11.2 11.9 11.7 11.1 12.1 11.0 9.0 11.2 11.4 10.2 11.6 10.9 11.8 12.1
## [813] 11.4 10.7 12.0 12.2 11.7 12.1 12.3 11.0 10.9 9.8 11.8 12.1 12.3 12.0
## [827] 12.1 9.6 12.0 9.5 9.6 9.8 12.0 11.9 11.2 11.0 11.9 12.0 12.3 11.0
## [841] 12.0 10.8 9.8 11.6 7.6 10.9 12.3 12.3 12.2 11.6 12.2 10.1 9.2 12.0
## [855] 9.1 12.2 12.2 12.1 11.7 12.2 11.6 11.5 10.9 9.0 10.3 9.3 11.1 12.1
## [869] 10.6 10.9 9.1 12.2 11.1 12.2 10.0 10.5 11.8 8.8 12.3 10.9 11.7 11.2
## [883] 9.6 10.7 9.1 9.3 12.0 10.8 10.6 10.1 7.6 12.0 12.3 11.4 12.0 10.3
## [897] 11.5 11.5 11.3 10.9 9.4 10.6 10.7 11.9 11.8 11.4 11.7 10.4 12.0 9.5
## [911] 10.2 12.3 11.6 9.0 11.7 10.0 11.7 12.3 9.3 10.6 10.7 10.5 11.3 12.1
## [925] 12.1 11.2 11.5 11.9 12.2 10.2 10.5 12.2 10.0 12.0 11.2 11.4 11.1 8.7
## [939] 12.0 12.0 11.4 10.9 11.3 11.2 12.2 12.3 11.7 10.5 9.2 11.0 11.1 10.8
## [953] 12.2 12.3 12.1 11.4 11.1 12.2 12.1 10.4 9.0 11.1 11.0 11.7 11.5 11.7
## [967] 11.4 11.6 10.5 11.8 8.6 10.8 11.4 11.6 10.5 12.1 8.7 11.4 12.1 10.0
## [981] 12.1 11.8 11.8 11.4 10.5 12.3 11.0 11.6 10.8 9.6 10.3 11.5 11.6 11.5
## [995] 8.3 9.5 11.1 8.6 12.1 12.1 8.8 10.0 12.2 11.4 12.1 8.7 12.1 10.6
## [1009] 11.5 12.0 11.1 10.4 9.9 11.4 11.0 11.9 11.6 12.0 11.3 11.7 12.1 12.3
## [1023] 12.0 10.1 11.2 12.0 11.2 11.8 10.5 12.1 11.3 10.9 10.7 11.3 12.1 11.2
## [1037] 12.1 11.1 10.3 10.4 11.8 11.0 11.9 12.1 9.7 11.1 12.0 11.7 11.4 10.4
## [1051] 10.6 10.7 11.7 12.0 11.7 10.4 10.0 10.3 8.7 10.9 12.2 11.8 10.8 12.3
## [1065] 10.2 11.6 12.3 9.5 11.8 10.8 9.9 10.8 12.3 11.0 11.8 9.5 12.0 11.3
## [1079] 12.3 10.6 11.0 11.9 10.1 9.5 10.0 11.0 11.9 11.6 11.8 11.8 10.7 12.3
## [1093] 11.5 12.3 10.4 10.9 10.4 12.3 11.4 11.4 12.2 11.0 10.8 11.7 10.9 12.2
## [1107] 11.2 10.4 12.3 11.4 11.7 10.0 10.4 11.1 10.3 12.1 10.8 11.5 10.1 11.4
## [1121] 11.4 11.0 9.9 10.6 9.1 10.2 12.2 11.3 11.2 11.3 11.8 10.3 12.0 12.2
## [1135] 11.3 11.9 10.7 9.6 11.4 12.1 11.0 11.3 11.7 11.4 10.0 12.2 11.5 12.3
## [1149] 11.0 9.6 11.0 11.6 9.8 9.0 12.0 12.3 11.5 12.3 12.1 12.3 9.6 12.0
## [1163] 10.2 11.6 12.2 33.8 12.2 10.8 11.1 8.2 11.9 10.8 11.8 11.3 11.1 11.9
## [1177] 11.3 8.7 9.2 12.2 9.7 10.8 11.4 11.9 7.8 11.8 10.1 12.2 10.7 11.9
## [1191] 10.3 10.7 11.2 9.6 11.0 12.2 8.6 12.2 11.4 11.1 9.4 8.7 11.4 11.9
## [1205] 11.9 11.2 10.5 9.0 11.9 11.1 11.7 12.2 11.9 11.5 9.4 10.5 11.0 11.5
## [1219] 11.5 11.7 12.1 10.4 11.6 11.6 9.5 9.6 10.4 11.3 12.3 11.7 8.7 11.8
## [1233] 11.4 11.9 12.0 10.2 11.9 10.1 10.3 11.6 12.1 11.5 11.1 11.1 12.1 11.5
## [1247] 11.2 9.9 9.7 10.9 11.7 12.0 10.7 12.2 10.1 9.8 12.3 12.0 11.9 11.6
## [1261] 11.6 11.2 11.1 11.9 9.2 12.0 10.5 10.9 11.0 10.8 12.2 12.1 11.0 11.4
## [1275] 12.0 10.4 9.5 10.3 10.2 10.9 11.9 11.2 10.5 9.8 11.9 11.3 10.5 12.3
## [1289] 11.2 11.0 9.0 11.4 11.8 12.3 11.2 11.8 10.5 11.5 11.7 12.1 10.9 11.4
## [1303] 10.1 9.1 10.3 11.9 9.6 11.3 12.3 11.4 11.5 11.2 10.9 12.3 11.6 10.2
## [1317] 10.5 11.5 12.1 11.4 11.7 10.6 9.1 12.1 11.4 10.6 9.6 9.3 10.5 11.9
## [1331] 12.2 11.3 9.2 8.6 12.2 12.2 10.7 11.5 12.0 11.5 12.2 12.3 12.2 10.3
## [1345] 10.9 9.3 12.0 10.5 9.2 12.1 9.5 10.5 12.3 10.7 12.2 9.7 12.3 11.8
## [1359] 9.5 11.1 11.9 11.8 10.9 11.0 11.8 11.1 11.1 9.4 10.0 11.6 11.8 11.7
## [1373] 12.0 12.3 10.6 11.8 12.2 12.0 12.3 11.3 11.9 9.9 10.5 12.2 11.2 9.5
## [1387] 11.1 10.3 11.2 10.4 12.3 11.1 12.1 12.3 11.6 12.1 11.2 12.0 12.2 12.2
## [1401] 12.1 12.0 10.6 11.5 11.5 11.1 11.1 8.7 12.1 11.9 10.5 11.5 11.4 12.2
## [1415] 12.0 10.0 12.2 12.2 11.6 10.4 11.6 9.9 12.2 12.3 8.8 9.9 9.2 11.7
## [1429] 10.5 11.7 10.4 12.2 10.1 11.4 12.3 12.2 10.8 12.2 10.0 10.6 10.1 11.8
## [1443] 11.3 11.2 10.9 12.3 11.0 11.1 12.2 8.6 11.4 11.6 12.2 12.3 11.3 12.0
## [1457] 10.6 10.6 11.5 11.4 11.0 11.3 10.5 10.5 12.0 9.6 11.5 9.6 8.6 12.3
## [1471] 10.9 11.9 12.2 11.6 11.9 10.5 12.1 9.7 11.3 10.4 11.7 11.1 11.4 11.9
## [1485] 11.7 9.9 12.0 9.9 11.2 11.7 12.1 11.3 11.6 11.9 10.6 12.1 10.6 11.5
## [1499] 11.7 12.2 11.9 10.1 12.0 11.5 11.3 10.0 11.4 10.7 10.7 11.2 11.8 11.4
## [1513] 12.2 11.4 12.3 12.3 10.3 11.9 9.6 11.4 11.0 11.0 12.1 11.7 11.7 10.2
## [1527] 11.3 11.1 11.5 12.1 12.2 11.7 11.0 12.3 10.0 11.7 10.9 11.3 10.4 10.0
## [1541] 10.3 12.3 12.2 9.3 10.3 12.2 10.9 11.7 11.1 11.8 11.2 9.9 11.6 12.0
## [1555] 11.4 9.3 10.3 12.3 10.5 10.8 11.6 5.0 11.3 11.1 10.8 8.4 10.4 9.8
## [1569] 12.3 11.4 11.7 10.4 11.0 12.2 9.7 10.7 11.4 11.4 11.4 11.3 12.1 12.3
## [1583] 11.9 10.7 10.3 12.2 8.4 11.7 11.5 12.2 11.8 11.4 11.4 11.6 10.5 11.6
## [1597] 12.3 10.3 10.6 10.4 11.8 11.4 12.1 11.3 11.8 11.0 9.6 11.7 11.9 11.6
## [1611] 11.8 10.4 11.3 9.6 10.3 12.2 11.8 9.0 10.3 11.4 11.5 10.3 11.6 11.0
## [1625] 10.8 12.2 7.7 8.6 9.7 9.2 9.9 12.1 10.2 12.1 11.7 11.4 12.2 11.7
## [1639] 11.8 12.3 11.5 11.0 10.6 10.4 10.9 10.6 9.4 11.8 12.0 10.6 11.0 9.0
## [1653] 11.5 11.4 11.9 11.0 11.0 12.1 10.6 11.6 11.3 12.1 11.2 9.8 12.3 6.0
## [1667] 11.7 11.0 11.5 9.2 33.6 10.4 11.6 11.1 12.2 12.2 11.8 11.1 12.3 10.8
## [1681] 11.5 9.7 12.2 12.1 11.6 10.2 10.9 10.6 10.3 11.9 11.6 12.0 11.3 12.2
## [1695] 10.8 8.7 10.5 34.6 10.6 10.7 10.8 11.4 10.5 11.0 10.8 10.5 9.6 10.5
## [1709] 10.7 11.9 11.3 11.7 9.9 11.8 11.5 10.4 10.4 12.0 12.1 12.2 10.2 11.6
## [1723] 10.3 10.6 11.5 11.1 9.9 12.0 12.0 11.1 10.7 12.2 12.2 11.2 12.3 12.3
## [1737] 10.0 11.3 12.3 11.7 7.8 12.2 11.5 11.4 10.2 11.9 11.6 11.8 11.8 11.7
## [1751] 12.3 11.8 10.2 10.3 11.8 10.8 9.0 10.9 12.3 11.4 11.0 12.1 11.8 11.9
## [1765] 11.4 9.6 11.2 9.2 8.3 11.7 11.5 12.3 11.7 11.2 10.0 11.2 9.7 11.7
## [1779] 11.0 12.2 12.1 10.9 11.1 11.2 10.4 11.7 8.9 12.3 11.9 11.8 12.3 10.9
## [1793] 11.6 11.6 10.9 12.2 11.1 11.8 11.1 12.2 11.6 12.3 10.7 9.9 9.8 11.3
## [1807] 12.1 11.7 11.5 11.0 12.2 8.9 10.6 11.3 11.5 12.1 11.6 11.7 10.9 12.1
## [1821] 11.1 10.5 10.2 9.0 11.6 12.1 11.0 12.3 9.4 10.6 11.4 10.7 10.5 11.8
## [1835] 12.1 9.6 10.3 11.1 10.2 12.0 12.2 11.7 11.0 11.1 11.4 11.8 11.5 12.1
## [1849] 9.8 12.2 9.9 12.1 10.7 11.9 10.5 10.7 8.9 8.1 12.2 11.3 12.3 11.6
## [1863] 10.9 12.3 11.1 11.7 11.3 12.1 12.3 11.4 12.3 12.0 11.9 11.7 10.0 9.8
## [1877] 12.3 11.3 11.3 11.0 11.5 11.6 11.4 12.0 11.4 10.6 12.0 11.8 9.4 11.8
## [1891] 10.4 12.1 10.9 12.0 10.1 9.7 10.2 12.1 11.5 11.4 11.0 12.2 11.4 10.1
## [1905] 11.2 10.0 12.0 11.6 12.2 12.2 9.0 12.2 11.7 10.7 11.9 11.8 10.8 8.9
## [1919] 11.7 12.2 10.2 11.7 11.4 10.4 11.3 10.5 9.4 12.3 9.6 12.3 10.7 11.9
## [1933] 10.6 9.6 11.6 9.0 10.1 11.7 12.1 12.2 10.4 12.1 11.4 8.3 11.6 11.4
## [1947] 9.6 11.3 9.5 12.2 11.4 12.0 9.7 12.1 11.3 12.2 10.7 11.3 12.3 11.4
## [1961] 10.4 11.7 11.8 11.2 11.6 12.3 12.3 12.3 11.6 11.7 11.9 11.9 10.8 10.9
## [1975] 11.7 11.4 11.3 12.1 10.3 11.3 12.0 9.6 12.3 11.8 11.9 11.5 10.8 12.3
## [1989] 10.5 12.0 10.8 10.2 12.3 12.1 11.8 9.8 12.1 11.0 10.5 11.5 10.9 10.6
## [2003] 12.1 10.8 11.6 10.5 11.7 8.1 11.5 10.3 11.5 11.5 11.8 10.7 10.0 7.6
## [2017] 7.7 9.9 11.6 12.2 12.2 11.5 11.2 10.5 11.4 9.4 12.0 12.1 12.3 11.2
## [2031] 11.9 12.2 12.0 11.5 11.5 10.6 10.2 12.1 12.2 11.9 11.4 11.0 12.0 12.1
## [2045] 11.2 11.1 10.7 11.4 11.7 10.6 11.9 11.7 10.7 11.2 12.2 11.7 9.9 10.2
## [2059] 11.8 11.0 11.4 9.9 12.3 12.3 11.9 10.6 11.7 10.7 11.6 11.3 10.3 12.2
## [2073] 12.1 10.7 10.5 11.5 11.5 11.3 7.7 9.6 9.5 11.4 11.9 11.5 10.8 11.1
## [2087] 10.0 10.7 33.4 12.0 9.5 11.4 7.5 11.6 11.8 11.7 11.7 8.6 12.1 11.1
## [2101] 11.6 12.1 10.2 11.3 10.8 12.0 11.9 8.6 11.6 9.0 10.0 10.1 12.3 11.4
## [2115] 10.8 11.3 11.7 11.7 11.2 11.0 12.1 9.9 11.6 11.1 12.2 10.3 11.7 11.7
## [2129] 9.9 12.3 10.7 11.7 11.3 11.2 12.2 11.6 11.6 10.3 12.1 10.6 12.3 11.3
## [2143] 12.3 11.5 11.4 10.4 11.5 12.2 11.7 11.6 11.4 11.6 7.7 9.9 12.3 11.8
## [2157] 12.2 11.7 12.1 7.8 10.5 11.4 11.0 12.1 12.0 11.6 10.8 11.7 11.1 10.7
## [2171] 11.3 11.1 10.3 11.5 12.0 10.6 9.7 11.9 9.9 10.2 12.2 12.3 10.2 12.3
## [2185] 11.0 12.0 11.8 9.6 10.5 12.3 10.3 10.9 12.3 10.8 12.0 10.1 10.6 10.9
## [2199] 12.3 10.3 10.0 10.4 9.0 11.7 10.4 11.4 11.7 11.0 10.3 11.4 12.0 12.3
## [2213] 9.7 10.2 11.9 12.3 12.2 10.1 10.8 12.3 12.0 11.6 10.3 12.0 10.6 7.9
## [2227] 12.1 11.2 11.4 11.4 10.1 9.5 9.6 7.7 10.6 10.3 8.6 11.0 11.4 11.6
## [2241] 10.9 9.2 11.4 11.8 11.1 11.5 10.4 11.9 9.7 10.9 9.4 12.0 12.2 9.0
## [2255] 11.8 11.5 8.1 11.9 10.8 10.3 11.7 10.1 11.7 11.9 12.3 11.9 11.8 10.4
## [2269] 10.5 12.3 10.8 12.0 9.2 11.9 12.2 12.2 11.6 10.5 10.8 12.3 11.7 12.0
## [2283] 7.4 11.5 11.0 10.2 11.7 10.9 11.9 11.2 11.4 12.2 10.5 10.7 10.6 12.0
## [2297] 8.6 9.2 10.2 10.7 11.9 9.5 10.9 9.4 11.5 10.6 11.7 10.8 7.6 11.2
## [2311] 5.8 9.6 11.4 11.3 12.2 11.8 11.6 33.9 11.6 12.3 11.2 12.1 11.4 10.9
## [2325] 11.6 12.2 12.2 11.5 11.6 12.3 11.5 11.7 12.2 11.1 11.3 12.2 11.9 10.1
## [2339] 11.8 12.0 10.0 12.0 11.1 11.3 12.0 10.2 8.7 12.2 12.3 12.0 10.9 10.1
## [2353] 11.9 11.3 10.7 9.8 11.2 11.3 10.7 10.3 12.1 12.0 11.9 10.8 11.3 11.5
## [2367] 12.3 10.1 12.2 11.8 9.3 10.8 11.4 12.2 9.4 11.0 12.1 9.7 10.9 11.0
## [2381] 12.3 10.0 11.6 10.5 11.2 11.8 11.8 10.9 11.1 11.3 9.9 9.7 12.2 11.2
## [2395] 7.8 11.5 11.9 12.2 11.8 11.9 7.7 10.6 11.7 11.7 10.5 11.5 10.9 11.2
## [2409] 9.6 11.7 11.2 10.5 10.7 11.4 11.9 11.1 11.6 10.4 12.3 12.3 11.7 9.9
## [2423] 8.4 11.6 11.7 11.9 10.1 10.9 12.0 9.2 12.3 12.2 9.9 9.4 10.3 11.4
## [2437] 10.0 10.6 9.9 11.9 10.7 11.4 11.8 12.3 11.5 11.9 11.7 11.7 12.0 12.0
## [2451] 10.8 8.0 11.0 11.9 11.5 11.2 11.0 11.4 10.8 10.2 11.6 9.7 10.6 11.7
## [2465] 10.1 11.8 12.0 11.6 11.7 11.9 11.4 10.8 10.7 10.6 11.0 10.4 10.6 11.1
## [2479] 12.1 11.1 11.6 10.7 12.3 10.0 11.3 9.1 10.9 9.6 10.4 12.1 11.4 11.9
## [2493] 12.0 11.5 11.3 11.5 11.9 11.7 11.8 11.4 12.0 11.9 10.4 11.4 11.5 12.3
## [2507] 11.3 12.0 10.0 12.2 10.9 11.2 12.2 10.6 11.0 11.5 11.9 10.3 11.7 11.5
## [2521] 11.2 11.4 12.0 9.2 11.3 10.4 8.5 11.8 9.3 10.8 9.5 10.8 11.1 12.0
## [2535] 9.8 12.0 8.7 11.8 10.0 12.3 10.2 12.1 9.8 12.0 9.2 11.2 10.7 10.7
## [2549] 11.3 12.1 8.3 11.4 10.1 9.9 12.1 11.6 11.1 10.1 10.4 12.2 9.3 12.3
## [2563] 12.3 10.2 12.0 12.2 11.7 11.1 10.7 11.8 11.4 10.2 11.4 11.6 11.9 7.8
## [2577] 11.4 10.5 10.7 12.3 9.5 11.1 9.7 10.9 11.3 12.1 10.2 11.8 10.9 12.2
## [2591] 10.4 11.8 12.2 9.7 10.4 10.7 11.5 12.0 12.2 11.7 11.0 11.4 10.9 11.3
## [2605] 10.3 11.8 11.6 11.8 11.7 12.1 10.3 12.0 10.9 10.9 9.1 10.2 11.4 11.3
## [2619] 12.1 12.2 11.6 11.5 10.2 9.1 11.9 10.8 12.2 12.3 11.5 12.1 11.2 10.8
## [2633] 12.0 11.7 11.8 10.6 11.1 10.0 10.4 11.1 12.2 11.3 10.1 11.7 12.3 12.2
## [2647] 10.7 11.4 9.0 11.8 11.6 10.9 12.2 10.1 12.3 12.0 11.3 11.4 11.5 11.9
## [2661] 11.3 11.3 11.7 11.3 10.6 11.0 11.4 12.3 10.9 12.0 11.4 10.5 11.8 10.3
## [2675] 11.0 12.2 11.2 11.9 11.7 11.6 12.2 11.3 10.8 11.9 10.2 11.8 12.2 11.6
## [2689] 12.2 11.6 11.8 10.3 9.5 11.2 10.6 11.0 11.4 12.0 9.5 11.4 10.2 10.4
## [2703] 11.9 11.3 10.0 12.1 10.4 10.7 11.9 10.8 11.4 11.1 12.3 11.2 11.1 10.8
## [2717] 9.8 11.7 9.1 11.7 12.0 10.3 9.9 11.4 11.4 12.0 33.5 11.1 12.0 11.7
## [2731] 11.7 8.7 11.5 11.7 11.2 9.9 11.6 12.0 8.6 12.0 34.1 10.5 11.5 11.8
## [2745] 11.7 11.5 12.3 11.9 11.2 12.2 12.0 10.3 10.1 9.4 12.3 10.1 11.7 12.2
## [2759] 10.3 9.9 12.1 12.3 11.0 10.1 10.4 8.2 11.9 12.0 12.2 11.5 10.5 9.0
## [2773] 8.0 11.2 12.2 9.8 9.8 11.4 11.3 12.2 11.5 11.2 12.0 11.5 11.6 8.8
## [2787] 11.5 11.7 11.4 11.9 11.2 11.1 12.2 11.3 10.3 10.6 10.5 9.5 11.6 9.7
## [2801] 11.8 9.4 10.9 12.2 10.2 11.6 11.7 10.6 12.3 10.8 9.4 11.2 10.5 11.1
## [2815] 12.0 9.1 10.9 11.5 11.5 11.0 11.7 10.0 8.1 10.6 10.7 11.1 11.9 8.7
## [2829] 10.0 12.2 10.8 12.0 8.2 11.4 10.9 11.4 9.6 12.1 10.5 12.0 11.6 12.0
## [2843] 10.5 11.1 10.5 10.5 10.9 11.2 10.8 12.1 12.2 11.7 10.9 8.8 12.2 9.8
## [2857] 12.3 12.3 11.7 10.9 11.5 11.3 11.7 11.8 12.0 11.8 12.1 12.3 11.0 10.4
## [2871] 9.0 11.0 10.8 11.6 11.0 7.8 12.0 12.2 10.2 7.2 11.0 11.3 10.0 11.4
## [2885] 11.3 11.5 11.8 12.3 8.6 11.7 11.8 12.3 11.7 11.4 10.2 10.9 8.7 11.8
## [2899] 10.6 11.2 12.0 10.2 10.5 9.7 10.6 11.8 12.0 11.5 12.2 12.3 11.2 11.3
## [2913] 11.6 12.3 11.9 10.2 11.3 11.3 9.2 11.9 12.2 10.5 11.4 10.9 12.3 10.4
## [2927] 12.2 11.7 10.9 10.5 12.3 9.4 10.9 12.0 12.0 11.8 11.5 11.6 11.4 12.1
## [2941] 11.8 10.1 12.0 10.4 11.2 11.4 12.2 10.5 8.1 11.7 11.3 12.0 10.5 9.1
## [2955] 11.2 10.0 9.9 10.6 11.6 11.2 11.6 11.7 8.6 12.0 12.2 12.1 8.3 12.0
## [2969] 10.9 10.7 12.0 12.0 10.0 11.9 11.2 12.3 11.4 9.6 12.3 8.3 11.8 11.4
## [2983] 11.4 12.3 12.2 12.1 12.3 12.2 11.6 12.2 12.1 8.6 11.5 11.4 11.7 10.2
## [2997] 11.1 11.1 12.1 10.8 11.4 11.7 11.9 10.0 12.3 11.0 11.4 11.2 11.6 12.3
## [3011] 11.5 10.4 11.7 10.0 10.0 10.1 11.2 11.6 7.5 10.3 12.1 12.0 11.7 11.9
## [3025] 11.2 11.7 12.2
# finding anomalies of temp_max in all subsamples
Q1 <- quantile(df_1$temp_max, 0.25)
Q3 <- quantile(df_1$temp_max, 0.75)
IQR_value <- Q3 - Q1
lower_bound <- Q1 - 1.5 * IQR_value
upper_bound <- Q3 + 1.5 * IQR_value
df_1_anomalies_temp_max <-df_1$temp_max[df_1$temp_max < lower_bound |df_1$temp_max > upper_bound]
Q1 <- quantile(df_2$temp_max, 0.25)
Q3 <- quantile(df_2$temp_max, 0.75)
IQR_value <- Q3 - Q1
lower_bound <- Q1 - 1.5 * IQR_value
upper_bound <- Q3 + 1.5 * IQR_value
df_2_anomalies_temp_max <-df_2$temp_max[df_2$temp_max < lower_bound |df_2$temp_max > upper_bound]
Q1 <- quantile(df_3$temp_max, 0.25)
Q3 <- quantile(df_3$temp_max, 0.75)
IQR_value <- Q3 - Q1
lower_bound <- Q1 - 1.5 * IQR_value
upper_bound <- Q3 + 1.5 * IQR_value
df_3_anomalies_temp_max<-df_3$temp_max[df_3$temp_max < lower_bound |df_3$temp_max > upper_bound]
Q1 <- quantile(df_4$temp_max, 0.25)
Q3 <- quantile(df_4$temp_max, 0.75)
IQR_value <- Q3 - Q1
lower_bound <- Q1 - 1.5 * IQR_value
upper_bound <- Q3 + 1.5 * IQR_value
df_4_anomalies_temp_max <-df_4$temp_max[df_4$temp_max < lower_bound |df_4$temp_max > upper_bound]
Q1 <- quantile(df_5$temp_max, 0.25)
Q3 <- quantile(df_5$temp_max, 0.75)
IQR_value <- Q3 - Q1
lower_bound <- Q1 - 1.5 * IQR_value
upper_bound <- Q3 + 1.5 * IQR_value
df_5_anomalies_temp_max <-df_5$temp_max[df_5$temp_max < lower_bound |df_5$temp_max > upper_bound]
print(df_1_anomalies_temp_max)
## [1] 22.2 22.9 22.4 22.5 22.6 22.9 22.7 22.7 22.2 22.8 22.7 22.5 22.2 22.7 22.9
## [16] 22.6 22.9 22.8 22.8 22.9 22.9 22.9 22.7 22.7 22.4 22.7 22.9 22.6 22.7 22.7
## [31] 22.2 22.2 22.4 22.9
print(df_2_anomalies_temp_max)
## [1] 22.8 22.8 22.7 22.8 22.4 22.8 22.9 22.7 22.9 22.6 22.8 22.8 22.9 22.9 22.4
## [16] 22.7 22.7 22.4 22.5 22.9
print(df_3_anomalies_temp_max)
## [1] 22.6 22.2 22.8 22.9 22.6 22.9 22.8 22.9 22.7 22.9 22.8 22.7 22.9 22.0 22.9
## [16] 22.7 22.6 22.4 22.9 22.7 22.9 22.7 22.6 22.8
print(df_4_anomalies_temp_max)
## [1] 22.5 22.4 22.6 22.9 22.7 22.6 22.9 22.7 22.9 22.8 22.9 22.7 22.7 22.9 22.9
## [16] 22.9 22.9 22.6 22.9 22.7 22.8 22.6 22.7 22.6 22.9 22.9 22.9 22.7
print(df_5_anomalies_temp_max)
## [1] 22.2 22.2 22.6 22.6 22.4 22.6 22.6 22.6
# finding anomalies of humidity_min in all subsamples
Q1 <- quantile(df_1$humidity_min, 0.25)
Q3 <- quantile(df_1$humidity_min, 0.75)
IQR_value <- Q3 - Q1
lower_bound <- Q1 - 1.5 * IQR_value
upper_bound <- Q3 + 1.5 * IQR_value
df_1_anomalies_humidity_min <-df_1$humidity_min[df_1$humidity_min < lower_bound |df_1$humidity_min > upper_bound]
Q1 <- quantile(df_2$humidity_min, 0.25)
Q3 <- quantile(df_2$humidity_min, 0.75)
IQR_value <- Q3 - Q1
lower_bound <- Q1 - 1.5 * IQR_value
upper_bound <- Q3 + 1.5 * IQR_value
df_2_anomalies_humidity_min <-df_2$humidity_min[df_2$humidity_min < lower_bound |df_2$humidity_min > upper_bound]
Q1 <- quantile(df_3$humidity_min, 0.25)
Q3 <- quantile(df_3$humidity_min, 0.75)
IQR_value <- Q3 - Q1
lower_bound <- Q1 - 1.5 * IQR_value
upper_bound <- Q3 + 1.5 * IQR_value
df_3_anomalies_humidity_min<-df_3$humidity_min[df_3$humidity_min < lower_bound |df_3$humidity_min > upper_bound]
Q1 <- quantile(df_4$humidity_min, 0.25)
Q3 <- quantile(df_4$humidity_min, 0.75)
IQR_value <- Q3 - Q1
lower_bound <- Q1 - 1.5 * IQR_value
upper_bound <- Q3 + 1.5 * IQR_value
df_4_anomalies_humidity_min <-df_4$humidity_min[df_4$humidity_min < lower_bound |df_4$humidity_min > upper_bound]
Q1 <- quantile(df_5$humidity_min, 0.25)
Q3 <- quantile(df_5$humidity_min, 0.75)
IQR_value <- Q3 - Q1
lower_bound <- Q1 - 1.5 * IQR_value
upper_bound <- Q3 + 1.5 * IQR_value
df_5_anomalies_humidity_min <-df_5$humidity_min[df_5$humidity_min < lower_bound |df_5$humidity_min > upper_bound]
print(df_1_anomalies_humidity_min)
## numeric(0)
print(df_2_anomalies_humidity_min)
## numeric(0)
print(df_3_anomalies_humidity_min)
## numeric(0)
print(df_4_anomalies_humidity_min)
## numeric(0)
print(df_5_anomalies_humidity_min)
## numeric(0)
# finding anomalies of humidity_max in all subsamples
Q1 <- quantile(df_1$humidity_max, 0.25)
Q3 <- quantile(df_1$humidity_max, 0.75)
IQR_value <- Q3 - Q1
lower_bound <- Q1 - 1.5 * IQR_value
upper_bound <- Q3 + 1.5 * IQR_value
df_1_anomalies_humidity_max <-df_1$humidity_max[df_1$humidity_max < lower_bound |df_1$humidity_max > upper_bound]
Q1 <- quantile(df_2$humidity_max, 0.25)
Q3 <- quantile(df_2$humidity_max, 0.75)
IQR_value <- Q3 - Q1
lower_bound <- Q1 - 1.5 * IQR_value
upper_bound <- Q3 + 1.5 * IQR_value
df_2_anomalies_humidity_max <-df_2$humidity_max[df_2$humidity_max < lower_bound |df_2$humidity_max > upper_bound]
Q1 <- quantile(df_3$humidity_max, 0.25)
Q3 <- quantile(df_3$humidity_max, 0.75)
IQR_value <- Q3 - Q1
lower_bound <- Q1 - 1.5 * IQR_value
upper_bound <- Q3 + 1.5 * IQR_value
df_3_anomalies_humidity_max<-df_3$humidity_max[df_3$humidity_max < lower_bound |df_3$humidity_max > upper_bound]
Q1 <- quantile(df_4$humidity_max, 0.25)
Q3 <- quantile(df_4$humidity_max, 0.75)
IQR_value <- Q3 - Q1
lower_bound <- Q1 - 1.5 * IQR_value
upper_bound <- Q3 + 1.5 * IQR_value
df_4_anomalies_humidity_max <-df_4$humidity_max[df_4$humidity_max < lower_bound |df_4$humidity_max > upper_bound]
Q1 <- quantile(df_5$humidity_max, 0.25)
Q3 <- quantile(df_5$humidity_max, 0.75)
IQR_value <- Q3 - Q1
lower_bound <- Q1 - 1.5 * IQR_value
upper_bound <- Q3 + 1.5 * IQR_value
df_5_anomalies_humidity_max <-df_5$humidity_max[df_5$humidity_max < lower_bound |df_5$humidity_max > upper_bound]
print(df_1_anomalies_humidity_max)
## [1] 34.4 34.1 33.7 27.3 28.2 24.7 32.3 30.6 34.2 35.6 28.3 34.8 26.4 30.0 26.1
## [16] 34.6 22.8 32.6 22.9 24.6 31.0 30.9 28.8 32.9 32.8 35.3 30.6 34.0 32.6 31.2
## [31] 26.2 22.8 33.1 30.7 33.9 34.7 30.8 26.4 35.5 27.5 27.0 20.8 33.8 33.4 19.1
## [46] 28.4 33.3 33.0 28.9 30.5 24.6 35.5 34.7 23.5 35.5 34.7 28.2 20.6 30.5 32.5
## [61] 32.0 34.7 34.4 33.8 35.3 33.7 23.5 28.8 23.0 35.0 34.2 34.5 23.3 31.0 9.0
## [76] 32.0 22.4 33.1 26.7 35.5 35.7 34.4 22.7 25.3 28.6 34.3 24.2 25.1 27.7 35.7
## [91] 26.3 24.0 33.6 29.1 25.2 31.4 35.6 33.4 30.3 25.5 31.6 33.4 33.2 33.8 31.2
## [106] 27.3 12.5 32.0 34.2 28.9 34.6 33.9 24.2 32.3 33.4 26.4 32.7 30.5 35.0 35.3
## [121] 35.5 32.0 29.4 28.2 20.4 25.0 30.3 34.5 32.1 35.6 34.6 29.0 35.6 25.5 25.8
## [136] 32.5 25.3 34.1 35.6 33.5 33.4 34.5 26.8 35.2 31.4 35.7 31.1 35.6 32.2 29.3
## [151] 32.5 18.1 29.4 33.8 34.8 22.1 33.6 33.0 32.0 33.1 34.9 24.6 32.2 32.5 32.5
## [166] 32.9 34.9 33.9 26.4 33.0 34.7 22.7 32.9 33.5 34.0 25.6 25.3 32.0 34.7 24.3
## [181] 35.7 31.2 34.5 23.3 29.6 35.5 29.1 30.4 33.8 35.0 33.4 29.7 29.9 34.5 34.7
## [196] 30.0 30.3 35.5 31.7 26.1 34.0 35.7 35.7 33.6 34.9 26.4 35.0 31.5 33.9 29.5
## [211] 31.8 27.5 25.6 29.3 32.9 35.6 32.4 33.5 25.3 32.9 29.1 31.6 23.4 30.6 35.0
## [226] 22.7 33.7 24.2 25.3 29.6 29.3 32.5 34.4 24.6 32.0 33.3 27.3 35.4 33.4 35.2
## [241] 34.2 32.3 35.0 34.1 33.9 34.9 25.8 25.1 31.7 25.4 35.5 33.8 15.0 32.9 26.4
## [256] 9.0 29.0 33.9 30.3 31.2 34.5 23.0 33.0 35.6 29.7 33.7 35.1 32.9 33.6 32.2
## [271] 20.3 35.7 32.5 31.6 31.1 33.8 31.4 25.7 33.4 31.0 33.9 34.1 35.6 32.0 27.3
## [286] 35.0 30.5 33.9 29.9 19.6 34.9 25.3 30.5 25.6 27.8 35.3 22.3 32.5 28.2 32.8
## [301] 32.5 32.7 35.6 32.0 30.6 35.5 20.3 20.3 30.5 31.6 33.7 33.7 32.8 33.1 32.5
## [316] 31.1 35.5 35.1 31.0 34.2 25.3 33.3 32.6 35.2 26.4 35.6 32.9 34.1 26.5 30.9
## [331] 29.9 27.1 28.9 34.7 34.1 28.5 35.7 33.8 17.4 32.4 35.3 24.7 34.6 30.6 34.7
## [346] 29.2 25.5 33.3 29.4 32.2 22.3 35.4 30.7 32.4 30.7 17.9 34.1 28.3 30.4 27.3
## [361] 33.6 35.7 32.5 23.4 32.9 33.7 34.4 35.4 32.1 32.4 34.2 32.9 32.7 34.2 33.7
## [376] 24.6 34.5 34.5 33.6 34.4 32.2 25.5 20.0 33.4 31.7 32.0 35.2 32.8 24.4 33.1
## [391] 35.3 27.7 28.6 24.3 17.9 30.0 30.7 27.0 33.8 32.0 34.0 32.5 27.7 35.6 28.8
## [406] 32.8 33.5 30.3 26.8 28.5 29.3 25.6 34.1 25.3 33.1 25.3 28.0 28.8 34.5 24.3
## [421] 32.9 30.8 30.6 35.4 31.9 33.7 35.6 32.9 26.5 34.8 23.7 33.9 31.4 27.5 30.7
## [436] 34.2 30.7 32.5 31.5 33.9 22.1 33.1 28.6 35.5 34.2 28.9 32.5 33.7 28.1 35.0
## [451] 28.8 28.4 32.5 30.6 28.4 33.1 30.3 31.5 31.1 34.4 32.3 32.9 31.8 28.8 35.1
## [466] 35.4
print(df_2_anomalies_humidity_max)
## [1] 35.5 30.4 30.9 32.0 31.2 32.9 34.8 32.3 28.2 30.3 31.6 25.3 35.1 31.4 32.3
## [16] 34.5 34.9 26.7 16.3 30.1 34.6 25.7 32.9 35.6 22.3 35.5 29.4 34.4 34.2 35.4
## [31] 34.3 30.1 34.1 33.8 30.6 30.3 33.7 35.5 31.7 32.0 28.5 15.0 29.5 28.5 34.6
## [46] 34.2 33.9 25.2 29.9 34.5 24.4 33.9 31.9 29.7 32.0 32.1 33.0 34.3 34.3 27.2
## [61] 20.6 33.9 23.4 21.4 33.2 30.9 33.8 30.4 33.9 24.3 30.2 33.9 28.3 34.7 24.3
## [76] 30.4 33.2 33.7 20.3 33.3 25.7 20.3 30.7 28.4 34.1 30.4 24.0 31.8 31.4 34.2
## [91] 32.0 28.7 31.8 35.6 28.3 34.3 25.7 20.4 32.4 32.4 32.0 33.6 35.5 30.7 35.5
## [106] 32.7 26.8 35.6 30.9 33.8 34.0 33.9 35.3 28.8 34.6 30.5 25.8 35.6 28.2 28.3
## [121] 35.0 23.1 29.3 32.3 9.8 32.8 35.4 34.0 30.6 33.4 33.5 34.2 34.7 30.1 28.4
## [136] 31.7 31.1 23.6 28.0 23.3 30.4 27.0 30.8 24.4 33.7 27.3 34.3 31.5 25.7 33.7
## [151] 34.5 35.2 35.5 30.6 31.9 30.4 27.3 28.7 35.5 33.8 32.8 32.9 31.7 28.8 25.3
## [166] 30.6 30.8 28.6 24.9 33.7 29.4 26.4 31.9 35.0 33.3 31.7 33.3 28.2 20.0 24.8
## [181] 24.6 30.9 34.2 32.1 33.8 33.5 30.1 34.3 35.2 35.5 35.2 34.1 30.9 31.1 32.5
## [196] 34.7 24.4 31.2 35.3 31.3 30.3 28.7 31.2 23.3 31.4 33.4 32.0 35.6 24.6 35.1
## [211] 34.3 34.7 31.2 24.6 34.8 23.9 31.8 34.5 34.9 30.9 32.0 33.6 30.9 28.8 28.3
## [226] 30.3 35.1 34.6 30.5 28.3 32.8 34.2 33.4 30.5 31.4 34.1 31.2 33.2 34.7 27.4
## [241] 34.0 35.3 32.4 31.7 31.7 23.9 33.9 33.5 30.0 25.6 32.2 28.2 35.2 27.7 29.6
## [256] 30.0 32.1 23.7 27.2 25.3 25.8 33.4 34.4 33.9 33.4 20.3 34.6 27.0 35.0 27.0
## [271] 34.7 34.7 29.4 34.5 32.0 30.8 34.0 28.9 32.5 34.0 31.1 34.1 34.1 30.9 33.9
## [286] 32.4 29.4 26.9 30.9 31.8 29.5 25.5 28.8 25.3 30.4 29.7 29.4 34.9 26.1 34.3
## [301] 32.0 32.9 32.5 22.2 29.3 29.2 33.8 31.0 35.2 34.2 35.3 35.0 27.5 25.6 31.7
## [316] 30.3 35.5 33.8 32.0 30.9 29.8 34.4 35.0 35.1 34.8 35.3 32.8 30.8 33.9 32.3
## [331] 33.6 33.2 32.2 33.9 25.7 35.6 31.2 15.0 31.0 34.4 34.3 28.0 34.3 29.0 29.5
## [346] 24.0 30.1 33.5 32.8 19.4 24.3 35.3 31.1 32.0 32.5 24.9 34.9 26.6 31.7 28.5
## [361] 31.2 31.7 27.0 34.9 30.9 31.1 28.8 31.1 35.6 23.0 28.2 34.5 19.3 31.5 30.9
## [376] 31.1 35.3 28.2 33.4 32.0 28.2 30.8 30.5 33.4 23.3 32.5 34.7 30.3 34.9 32.2
## [391] 32.3 31.7 22.4 34.6 33.1 34.4 32.3 30.4 25.5 29.9 28.2 30.3 33.9 35.3 32.4
## [406] 29.9 30.2 32.1 27.1 33.8 30.3 31.1 28.4 26.5 34.7 30.8 31.0 24.4 28.2 33.4
## [421] 24.3 32.8 32.8 30.0 32.0 29.3 30.8 24.6 32.4 32.0 19.9 30.4 34.1 30.3 29.8
## [436] 28.3 31.0 33.7 34.4 32.3 29.1 31.7 34.7 32.3 34.9 32.9 14.7 34.9 26.9 26.4
## [451] 35.1
print(df_3_anomalies_humidity_max)
## [1] 32.5 35.1 28.3 33.3 23.0 33.6 25.8 29.7 29.7 33.9 24.6 28.4 26.8 32.9 30.6
## [16] 31.0 27.4 29.0 34.2 31.0 33.3 29.4 34.9 33.5 22.0 34.8 32.3 26.5 31.4 33.9
## [31] 35.2 29.1 34.5 34.1 31.6 31.6 35.0 33.6 31.7 33.0 31.2 35.3 26.6 32.9 28.0
## [46] 30.0 34.2 35.2 31.4 33.1 33.5 30.6 25.4 20.6 30.1 20.6 22.7 22.1 33.4 32.4
## [61] 28.8 28.0 31.8 27.2 25.6 28.4 32.7 35.3 28.0 34.7 26.8 34.8 32.6 29.0 24.4
## [76] 32.3 33.0 26.4 25.6 30.5 30.9 35.2 25.0 30.4 35.1 32.1 32.7 34.8 31.6 26.2
## [91] 30.7 30.9 30.9 28.1 34.9 32.0 25.0 32.9 31.8 34.1 33.7 33.9 34.3 33.5 33.8
## [106] 22.1 25.3 31.7 34.1 22.1 25.7 26.6 35.2 35.2 28.8 31.2 30.4 27.3 30.9 33.2
## [121] 31.4 34.0 32.5 33.9 28.2 33.0 32.4 24.3 31.5 33.0 32.8 31.2 30.8 33.0 32.3
## [136] 32.4 35.3 30.1 24.3 29.7 33.6 33.7 29.4 34.0 32.8 29.3 34.4 18.0 22.4 34.3
## [151] 30.6 31.5 27.3 33.3 33.1 28.2 25.3 29.9 30.9 34.4 33.4 33.2 33.4 33.6 26.0
## [166] 29.9 33.1 27.3 30.6 30.7 35.0 22.1 33.6 35.2 31.1 32.8 28.0 9.8 30.3 32.4
## [181] 31.7 33.8 33.8 25.8 34.8 31.7 31.5 34.4 35.3 34.1 34.9 22.0 32.4 35.0 28.2
## [196] 28.1 25.3 30.0 32.4 33.4 32.5 29.3 34.5 33.8 32.9 34.4 4.0 35.2 35.1 28.5
## [211] 32.2 24.0 29.9 33.9 28.8 34.5 31.7 32.3 35.1 32.4 33.4 33.6 33.4 33.5 24.3
## [226] 12.5 33.3 20.4 28.9 32.0 31.0 31.0 16.3 29.2 30.4 35.0 35.1 20.4 23.3 31.4
## [241] 34.7 24.4 33.6 35.1 33.7 35.1 28.1 23.5 34.0 25.3 28.2 29.5 19.3 28.9 29.9
## [256] 33.4 31.1 30.4 28.2 32.7 29.4 27.8 25.3 28.2 35.2 25.6 34.0 34.2 32.9 33.9
## [271] 30.0 32.5 35.2 34.2 35.2 34.5 34.2 30.6 32.2 34.5 34.7 32.5 23.3 28.3 34.5
## [286] 28.9 35.0 33.6 30.3 25.0 25.2 32.8 27.4 31.4 33.0 20.4 18.0 28.2 31.3 24.3
## [301] 35.2 31.1 30.8 32.4 18.1 34.2 31.1 32.9 21.6 24.0 33.7 34.0 30.8 30.6 32.0
## [316] 34.5 34.9 33.4 27.0 33.6 33.8 33.1 32.5 28.7 27.0 35.0 34.6 34.4 28.5 30.0
## [331] 34.8 27.3 34.3 34.3 32.0 31.0 33.1 30.4 30.1 34.5 30.9 31.3 28.1 34.2 26.7
## [346] 31.2 35.1 34.5 27.0 34.5 32.5 31.6 33.7 29.4 30.9 26.2 32.9 26.2 33.2 29.1
## [361] 26.1 30.9 22.7 32.3 32.2 28.2 26.8 31.6 34.1 35.2 35.1 32.9 35.0 25.7 34.3
## [376] 35.2 32.4 35.2 29.8 34.1 31.5 34.4 33.8 27.3 30.8 27.3 31.5 29.7 32.4 26.6
## [391] 28.3 24.3 22.3 34.3 35.2 30.7 34.2 31.0 33.9 32.1 27.3 34.4 33.6 31.1 34.1
## [406] 24.7 34.7 24.2 33.3 31.5 34.1 26.7 25.2 26.2 31.1 33.6 35.2 34.7 33.4 32.5
## [421] 35.1 33.4 35.2 32.8 32.8 32.0 24.6 32.8 26.5 34.2 32.7 30.6 30.2 33.9 24.0
## [436] 31.8 33.9 34.0 26.7 32.4 28.7 30.0 29.3 28.2 25.5 26.8 34.1 33.4 34.6 33.9
## [451] 30.9 32.7 28.0 29.7 32.9 30.1 26.5 27.4 30.2 33.7 24.0 31.4
print(df_4_anomalies_humidity_max)
## [1] 29.7 29.9 34.7 28.7 34.0 34.4 34.0 28.9 32.0 32.9 32.8 27.5 22.7 14.7 33.3
## [16] 26.5 25.1 33.4 32.5 34.5 34.9 35.0 32.8 32.7 28.9 34.1 31.8 26.4 33.8 25.1
## [31] 34.2 34.7 34.4 32.4 24.8 23.6 34.6 33.6 25.7 22.4 30.4 33.6 31.2 33.8 26.5
## [46] 28.3 32.5 31.3 29.1 32.3 28.2 30.5 22.3 32.0 32.9 30.9 34.4 26.4 9.8 28.9
## [61] 31.0 31.2 25.1 32.5 32.8 33.7 34.3 31.2 32.4 25.6 30.9 32.4 24.0 31.3 27.0
## [76] 32.0 34.3 24.3 34.5 33.3 32.5 30.9 32.9 34.6 32.8 31.1 29.0 31.3 24.0 34.5
## [91] 30.9 24.8 26.5 32.2 29.7 29.6 26.8 30.3 30.4 32.2 32.9 23.5 34.6 26.7 33.3
## [106] 33.9 26.4 27.3 32.1 30.3 29.3 25.0 30.7 30.3 16.3 31.3 34.9 31.1 20.0 25.1
## [121] 30.1 30.3 32.6 31.2 24.2 29.4 19.4 34.7 32.1 34.7 19.4 24.0 30.7 34.1 34.9
## [136] 26.3 25.2 34.7 24.3 32.7 31.9 34.7 30.9 35.0 31.3 33.4 22.3 27.3 30.6 31.4
## [151] 28.6 30.6 21.6 25.3 32.5 34.0 28.7 27.3 34.3 31.2 34.6 32.2 35.0 28.3 32.2
## [166] 28.2 32.9 34.5 27.5 32.7 33.1 26.8 32.2 29.1 34.5 29.8 29.6 26.8 32.4 25.3
## [181] 33.0 27.8 34.7 27.0 25.1 34.5 26.8 32.2 28.7 31.6 34.8 29.4 25.3 31.2 31.2
## [196] 34.6 29.3 31.1 30.0 28.2 29.4 33.3 33.6 30.1 32.3 27.0 27.0 28.8 27.4 32.2
## [211] 34.8 32.9 30.8 33.7 25.1 22.5 33.7 34.7 27.7 28.9 30.9 31.4 34.6 26.4 31.4
## [226] 25.7 33.5 33.0 30.9 28.5 32.9 34.1 33.7 24.0 30.1 34.3 34.8 34.2 21.4 20.3
## [241] 20.0 33.8 29.9 20.6 28.3 30.6 20.6 33.4 31.7 33.1 32.8 24.0 29.9 29.7 30.3
## [256] 32.7 30.3 25.7 33.2 32.9 30.4 34.4 31.1 32.9 34.4 28.0 28.9 30.3 34.4 29.7
## [271] 33.3 31.2 33.5 34.7 32.0 28.3 27.0 30.9 34.5 34.5 34.0 17.9 33.9 23.1 27.3
## [286] 33.2 33.7 33.7 32.1 25.2 28.6 31.1 27.2 32.2 30.9 25.0 29.9 23.3 30.7 29.1
## [301] 33.7 34.4 24.8 29.4 29.6 30.7 34.7 24.3 32.2 34.4 28.3 28.9 26.5 24.6 26.6
## [316] 26.4 32.5 33.3 34.5 18.1 32.9 30.0 23.1 34.1 33.0 30.3 35.0 30.1 32.5 27.3
## [331] 34.9 32.6 33.9 33.2 32.0 29.8 9.0 34.7 31.7 33.0 34.6 34.3 34.3 32.5 33.7
## [346] 26.4 23.0 33.3 33.8 20.6 31.9 33.3 33.4 30.0 31.8 34.6 35.0 33.1 32.0 27.5
## [361] 30.7 24.0 22.4 33.9 20.4 25.7 26.0 30.8 30.4 32.8 31.7 33.2 33.9 29.4 27.4
## [376] 34.1 31.2 35.0 22.3 33.0 16.3 32.3 34.9 27.3 31.6 32.5 20.4 32.0 34.1 24.4
## [391] 23.6 31.7 23.2 33.6 31.2 32.0 24.6 33.8 29.8 31.6 9.8 32.5 32.4 34.3 32.6
## [406] 33.1 33.1 33.1
print(df_5_anomalies_humidity_max)
## [1] 30.3 33.5 32.3 34.8 31.6 32.2 27.5 33.7 30.4 32.6 33.4 30.5 28.4 34.7 29.9
## [16] 32.0 32.4 28.7 28.2 32.5 31.7 26.6 27.1 32.5 32.8 33.6 34.6 33.6 28.8 33.0
## [31] 23.7 34.0 24.9 34.3 34.5 30.9 32.3 27.5 32.3 34.4 26.5 33.7 32.6 33.4 31.7
## [46] 30.7 33.8 18.1 33.1 23.1 34.7 23.0 31.5 32.3 33.7 32.0 34.1 34.6 29.4 34.7
## [61] 23.9 26.5 29.4 35.0 34.4 25.7 19.3 32.1 34.7 33.2 27.8 27.4 34.6 32.2 23.7
## [76] 25.3 33.7 32.4 25.3 32.9 33.5 32.9 31.6 30.9 34.7 35.0 22.1 32.5 30.8 34.0
## [91] 28.2 33.4 33.9 33.6 21.4 32.8 32.7 29.3 27.5 34.9 34.7 32.5 30.2 27.3 23.1
## [106] 33.1 33.4 20.4 33.0 31.1 34.3 24.3 24.0 33.2 34.1 29.3 24.2 30.7 33.1 32.0
## [121] 30.9 20.0 32.9 25.8 27.3 27.1 26.7 34.9 32.7 30.3 33.0 28.8 28.5 19.4 27.0
## [136] 32.3 30.9 30.4 34.0 31.6 33.7 34.7 33.9 33.8 29.8 28.2 32.4 27.3 31.8 32.1
## [151] 29.1 32.0 28.0 34.8 33.3 28.0 15.0 32.9 34.5 22.8 28.0 30.3 33.6 25.3 32.3
## [166] 28.2 32.8 31.3 34.4 26.4 33.5 29.6 29.4 26.4 34.5 33.8 34.4 34.2 32.4 23.2
## [181] 21.5 35.0 29.7 26.4 27.2 30.2 32.0 22.0 30.4 34.9 27.7 34.9 30.7 28.5 27.5
## [196] 33.2 35.0 32.9 34.4 34.1 23.6 26.2 31.8 34.4 29.4 30.4 34.4 20.0 30.9 33.3
## [211] 32.5 32.0 35.0 28.3 33.3 32.5 24.9 30.7 33.4 33.1 32.9 32.4 26.9 21.6 25.3
## [226] 33.4 30.1 25.1 34.1 34.9 31.5 31.2 30.5 30.9 22.2 30.7 34.1 33.5 20.8 30.5
## [241] 32.0 29.4 26.8 31.4 33.6 31.7 32.4 22.4 32.4 32.8 32.9 33.7 32.2 27.8 28.2
## [256] 30.8 24.6 34.4 30.8 31.9 28.8 32.9 28.7 34.0 34.9 33.3 32.3 34.4 33.2 34.9
## [271] 30.9 33.1 34.3 33.6 23.0 28.6 30.9 28.5 28.2 32.0 30.1 32.5 34.4 27.0 17.9
## [286] 34.5 33.7 31.7 28.0 32.4 29.3 28.4 34.4 28.2 34.4 34.7 34.8 32.0 26.2 33.7
## [301] 34.9 33.0 34.6 34.4 30.7 32.9 31.7 29.4 34.5 29.8 32.5 29.0 17.4 24.3 34.3
## [316] 31.7 23.7 32.9 32.6 24.4 23.7 34.4 34.9 34.7 31.9 34.7 29.9 34.7 31.5 26.5
## [331] 26.4 28.2 34.7 29.1 21.6 30.8 32.9 30.3 31.7 35.0 34.0 29.7 32.3 27.0 31.6
## [346] 30.6 31.0 34.4 29.4 28.6 29.1 33.3 31.8 32.2 27.4 32.9 33.7 9.8 33.7 33.8
## [361] 29.4 28.7 32.0 32.0 33.0 33.7 34.9 32.9 34.7 32.7 27.7 20.6 29.1 33.2 32.4
## [376] 28.0 34.2 17.9 33.4 28.0 27.9 4.0 25.2
# finding anomalies of wind_speed in all subsamples
Q1 <- quantile(df_1$wind_speed, 0.25)
Q3 <- quantile(df_1$wind_speed, 0.75)
IQR_value <- Q3 - Q1
lower_bound <- Q1 - 1.5 * IQR_value
upper_bound <- Q3 + 1.5 * IQR_value
df_1_anomalies_wind_speed <-df_1$wind_speed[df_1$wind_speed < lower_bound |df_1$wind_speed > upper_bound]
Q1 <- quantile(df_2$wind_speed, 0.25)
Q3 <- quantile(df_2$wind_speed, 0.75)
IQR_value <- Q3 - Q1
lower_bound <- Q1 - 1.5 * IQR_value
upper_bound <- Q3 + 1.5 * IQR_value
df_2_anomalies_wind_speed <-df_2$wind_speed[df_2$wind_speed < lower_bound |df_2$wind_speed > upper_bound]
Q1 <- quantile(df_3$wind_speed, 0.25)
Q3 <- quantile(df_3$wind_speed, 0.75)
IQR_value <- Q3 - Q1
lower_bound <- Q1 - 1.5 * IQR_value
upper_bound <- Q3 + 1.5 * IQR_value
df_3_anomalies_wind_speed<-df_3$wind_speed[df_3$wind_speed < lower_bound |df_3$wind_speed > upper_bound]
Q1 <- quantile(df_4$wind_speed, 0.25)
Q3 <- quantile(df_4$wind_speed, 0.75)
IQR_value <- Q3 - Q1
lower_bound <- Q1 - 1.5 * IQR_value
upper_bound <- Q3 + 1.5 * IQR_value
df_4_anomalies_wind_speed <-df_4$wind_speed[df_4$wind_speed < lower_bound |df_4$wind_speed > upper_bound]
Q1 <- quantile(df_5$wind_speed, 0.25)
Q3 <- quantile(df_5$wind_speed, 0.75)
IQR_value <- Q3 - Q1
lower_bound <- Q1 - 1.5 * IQR_value
upper_bound <- Q3 + 1.5 * IQR_value
df_5_anomalies_wind_speed <-df_5$wind_speed[df_5$wind_speed < lower_bound |df_5$wind_speed > upper_bound]
print(df_1_anomalies_wind_speed)
## [1] 36.5 29.0 40.9 31.4 33.6 57.5 28.8 30.4 26.2 28.1 31.0 39.6 25.8 28.5
## [15] 29.5 34.0 32.1 35.1 28.0 31.7 33.6 26.1 31.7 25.6 26.5 34.7 26.2 35.1
## [29] 29.5 33.6 29.0 28.4 42.8 26.4 28.1 29.0 28.4 27.5 29.9 29.0 28.6 40.4
## [43] 29.2 28.3 27.6 31.3 26.2 31.4 27.5 29.7 32.0 26.2 27.1 25.7 26.5 29.0
## [57] 26.6 48.3 33.5 26.3 34.9 25.7 31.2 29.1 36.3 32.5 36.6 40.4 36.5 38.8
## [71] 27.2 39.6 56.1 29.3 31.4 25.9 29.3 27.5 36.7 34.4 33.7 32.8 27.8 26.5
## [85] 34.2 26.9 29.7 28.0 36.1 54.0 33.8 25.9 28.8 26.1 43.0 26.0 27.2 30.2
## [99] 38.2 27.9 25.7 27.0 38.5 39.1 30.9 27.9 27.1 27.3 25.9 30.1 33.4 32.5
## [113] 28.8 30.7 67.7 32.2 42.2 25.7 28.4 28.7 31.2 29.6 32.9 28.5 41.9 30.7
## [127] 29.4 27.2 29.4 26.1 33.6 28.2 27.1 42.6 27.3 37.5 31.7 29.1 31.1 31.0
## [141] 29.0 34.5 34.2 30.5 26.6 25.8 28.3 36.2 28.8 34.5 29.1 40.9 38.7 26.9
## [155] 31.5 26.0 28.0 30.1 28.5 29.7 41.0 38.5 27.0 36.5 29.4 30.7 34.9 25.8
## [169] 27.1 27.5 28.7 35.1 26.4 27.1 49.3 26.5 26.5 30.2 33.6 35.5 32.1 29.1
## [183] 26.0 28.5 43.5 28.6 30.0 28.4 29.7 28.5 26.9 27.3 25.9 29.5 45.6 31.1
## [197] 30.8 32.0 41.6 40.1 47.7 32.0 27.5 26.4 30.6 25.7 31.5 27.5 26.5 28.0
## [211] 27.6 25.9 29.7 28.1 26.9 26.5 31.1 41.4 26.1 28.7 36.6 25.7 26.8 31.3
## [225] 27.5 32.3 35.2 30.3 32.9 25.8 27.3 30.0 27.5 26.8 30.6 35.6 28.6 26.6
## [239] 26.6 42.3 30.1 40.6 27.2 35.8 27.9 27.8 26.5 29.6 36.5 29.5 36.7 34.4
## [253] 44.3 27.0 29.0 29.0 34.2 31.7 35.4 35.5 29.8 27.5 33.0 26.6 29.7 29.5
## [267] 26.5 40.4 31.7 29.6 56.3 30.7 33.4 30.7 44.4 27.5 30.4 28.6 26.5 28.7
## [281] 28.4 45.8 26.5 32.4 28.6 28.2 30.4 30.8 37.6 28.3 28.8 26.7 35.0 39.6
## [295] 25.9 44.0 26.5 25.9 41.2 39.8 29.7 27.3 38.9 31.5 29.2 26.3 25.9 31.3
## [309] 29.0 25.8 25.9 26.8 25.7 41.1 33.3 44.2 31.4 31.1 31.7 25.6 30.0 34.3
## [323] 41.3 29.5 29.5 29.4 46.3 30.4 27.8 28.0 32.1 31.3 31.5 26.6 26.6 32.8
## [337] 50.3 26.6 36.5 27.7 32.7 27.6 26.1 25.8 30.9 41.1 28.5 26.2 33.9 29.3
## [351] 27.8 28.0 32.4 28.9 41.9 25.6 26.2 26.6 28.7 29.5 31.5 27.8 27.8 29.3
## [365] 26.5 31.6 26.6 31.8 26.2 28.4 33.3 28.7 25.9 29.7 26.7 28.2 35.0 26.8
## [379] 30.1 28.7 25.9 36.7 26.3 34.2 27.5 33.7 25.8 31.0 29.7 25.7 31.2 26.5
## [393] 27.5 30.1 65.0 28.8 27.2 27.9 36.4 37.3 26.8 25.8 31.3 43.9 26.6 26.9
## [407] 29.2 30.9 30.3 26.7 26.8 27.8 30.2 29.7 32.7 30.2 28.4 27.6 28.0 30.0
## [421] 34.5 31.0 25.8 28.1 29.0 38.3 27.8 30.7 33.3 40.5 31.2 27.2 26.6 26.3
## [435] 27.0 36.3 26.3 28.5 28.5 26.8 35.2 43.0 27.6 53.2 26.2 26.9 31.8 27.1
## [449] 40.4 27.5 27.1 45.8 30.5 26.0 29.1 27.8 27.3 54.1 33.3 29.8 38.5 32.4
## [463] 27.8 35.6 29.7 26.2 26.0 41.9 46.1 31.5 32.1 36.7 25.9 25.9 32.2 30.6
## [477] 30.1 32.2 30.7 30.0 29.4 25.9 25.6 25.8 30.0 31.0 31.1 50.6 28.7 28.6
## [491] 28.9 37.4 26.4 25.9 26.9 26.3 33.4 28.6 27.8 30.4 30.7 26.6 40.6 30.3
## [505] 26.5 26.6 30.1 29.4 31.9 37.8 26.9 28.9 30.0 26.3 26.5 28.7 30.7 26.8
## [519] 31.2 31.3 35.5 33.4 31.3 30.6 26.1 27.5 27.0 33.4 29.7 30.2 34.0 32.9
## [533] 25.8 28.0 25.9 33.7 28.8 27.9 35.9 27.7 28.8 27.7 29.3 46.5 29.8 39.6
## [547] 26.6 27.3 28.0 30.3 30.7 25.7 26.1 33.3 35.5 29.8 38.7 27.6 25.6 35.2
## [561] 37.3 26.6 29.1 26.6 26.6 28.3 28.9 28.6 27.6 36.9 31.1 27.8 43.1 29.4
## [575] 25.9 65.7 41.2 29.4 29.7 32.1 31.4 36.2 26.5 26.7 31.3 29.4 30.0 36.3
## [589] 25.7 28.3 42.8 31.0 37.7 29.7 27.9 25.7 33.0 26.8 34.4 28.2 40.3 39.5
## [603] 27.5 33.9 31.7 26.1 25.6 28.8 29.8 26.5 26.8 30.1 25.9 29.7 29.3 40.9
## [617] 27.5 41.2 34.5 28.6 29.6 33.3 34.0 30.7 27.1 27.8 33.5 30.6 29.4 29.0
## [631] 31.7 44.8 27.5 29.0 32.8 29.7 26.9 29.5 27.8 35.8 36.7 26.6 38.9 38.8
## [645] 25.9 25.9 53.0 28.8 27.6 28.2 28.4 27.0 26.7 29.2 38.0 25.9 26.0 36.5
## [659] 27.1 30.3 32.2 27.1 28.1 43.9 29.0 31.5 35.0 29.1 35.2 29.1 29.5 25.9
## [673] 26.5 32.9 26.4 33.0 27.9 31.7 33.3 27.1 27.1 35.0 27.2 27.3 29.5 41.2
## [687] 43.5 28.9 45.4 26.3 29.0 27.8 27.1 27.2 29.9 29.0 30.6 29.4 26.5 40.6
## [701] 31.3 27.1 32.9 28.6 36.1 34.0 29.0 26.8 31.0 41.5 31.8 28.0 29.2 32.2
## [715] 32.3 29.0 60.6 28.2 27.3 25.6 28.9 25.6 37.6 32.1 25.7 28.9 31.6 25.9
## [729] 28.1 32.8 25.9 27.3 41.4 28.2 25.9 32.6 26.9 36.5 26.1 37.6 32.3 27.9
## [743] 28.4 35.6 28.8 26.7 26.8 33.2 31.3 26.6 26.2 57.1 32.8 28.8 27.9 30.1
## [757] 27.7 26.1 34.2 51.7 41.3 25.8 34.1 29.4 25.9 25.7 30.7 26.9 26.8 26.2
## [771] 36.3 42.2 28.4 29.4 28.4 48.6 30.7 27.8 27.1 28.7 28.6 27.3 31.3 29.1
## [785] 41.2 28.4 44.3 26.8 29.1 31.0 33.6 26.5 27.3 33.3 26.0 27.8 33.1 52.3
## [799] 25.7 36.7 29.6 31.6 26.5 66.2 26.5 28.1 29.4 32.4 25.9 26.8 26.8 29.0
## [813] 35.4 37.1 27.8 30.0 34.2 33.9 31.4 38.8 29.4 26.9 26.4 26.2 25.6 27.2
## [827] 28.4 28.5 31.0 29.4 25.7 31.0 28.4 26.4 30.0 29.0 31.3 33.7 33.2 54.8
## [841] 31.0 40.1 36.3 46.7 27.8 27.8 42.6 53.3 30.7 28.4 29.8 35.5 26.5 33.4
## [855] 32.1 26.8 29.8 33.0 32.1 28.8 42.3 30.0 29.1 27.7 45.6 33.4 26.3 31.3
## [869] 32.2 40.1 25.9 26.2 39.7 42.8 27.8 38.0 27.0 35.5 40.4 27.8 36.3 27.2
## [883] 29.0 29.1 26.0 30.0 27.7 32.9 25.6 25.8 40.6 28.3 27.6 29.8 29.4 26.9
## [897] 26.8 32.4 39.2 26.4 26.5 39.4 26.8 25.9 35.6 26.4 33.6 31.0 27.2 30.7
## [911] 28.0 25.9 26.6 26.0 36.0 29.3 29.1 32.2 28.1 31.7 25.9 41.6 34.3 30.2
## [925] 28.1 28.0 27.5 27.2 31.5 31.2 29.3 27.2 26.8 29.3 26.3 55.4 26.6 30.5
## [939] 36.7 27.9 30.9 27.7 28.0 39.7 34.2 28.1 39.5 37.4 28.1 33.5 34.2 25.6
## [953] 27.2 39.4 26.3 29.1 34.9 33.6 26.6 27.7 27.3 28.1 25.8 25.9 28.8 28.6
## [967] 25.8 27.6 30.0 26.8 27.8 26.5 30.9 30.3 29.4 29.7 35.1 25.8 32.2 56.0
## [981] 32.9 28.5 34.9 30.1 26.4 26.5 29.3 28.1 33.1 31.6 26.5 25.7 27.5 38.0
## [995] 28.5 28.5 25.9 28.8 25.9 31.0 27.9 39.4 48.1 45.9 28.8 29.3 26.0 33.0
## [1009] 35.8 42.7 29.8 26.7 26.2 55.8 25.9 28.3 34.8 42.3 26.2 26.2 31.1 30.9
## [1023] 26.8 29.7 26.9 27.5 29.0 27.8 29.6 29.1 31.7 25.9 30.0 38.1 41.3 58.3
## [1037] 33.8 28.4 31.6 28.4 38.4 25.9 40.1 33.3 28.8 27.2 30.0 25.9 26.9 44.5
## [1051] 29.8 25.9 27.3 29.4 28.0 32.5 28.6 29.1 28.3 40.3 31.0 29.0 37.2 30.1
## [1065] 27.5 29.0 26.6 36.5 38.7 31.1 25.7 29.4 32.2 25.7 40.4 31.0 25.9 37.2
## [1079] 27.8 36.3 26.8 27.0 68.0 41.0 33.6 29.2 29.9 30.1 33.0 51.9 42.7 35.2
## [1093] 30.0 40.6 49.7 36.3 26.7 30.6 35.2 25.9 31.1 27.9 36.6 32.2 25.6 29.3
## [1107] 27.3 31.7 33.0 54.8 28.8 37.4 30.5 30.6 35.5 31.2 34.7 41.2 55.8 30.7
## [1121] 33.3 42.8 34.0 26.0 29.3 31.9 29.4 32.4 39.6 28.6 38.3 27.5 25.8 26.6
## [1135] 25.9 30.1 27.2 32.9 26.3 27.5 39.7 26.5 30.1 25.9 26.4 27.3 33.6 31.2
## [1149] 25.7 32.3 27.2 26.8 29.4 26.8 28.2 34.5 27.8 30.3 25.9 43.1 27.5 28.1
## [1163] 26.3 40.0 30.5 26.5 34.4 26.8 31.1 30.7 27.2 36.9 30.1 32.0 27.0 29.0
## [1177] 57.5 35.0 27.2 31.1 31.1 39.7 26.6 51.0 34.9 25.9 47.5 36.4 25.9 28.4
## [1191] 27.8 28.6 29.4 33.3 27.6 29.4 36.5 37.3 28.1 29.5 35.2 34.3 26.3 26.1
## [1205] 27.7 28.9 31.1 30.1 31.0 27.8 25.6 28.7 38.5 31.1 34.1 28.4 26.3 26.9
## [1219] 28.1 31.6 30.6 26.8 25.7 29.9 27.6 29.0 26.2 26.7 26.8 27.2 30.7 28.6
## [1233] 30.7 32.3 34.4 30.4 25.9 27.9 34.6 27.5 69.0 28.5 33.3 29.0 29.2 34.1
## [1247] 25.9 36.5 27.4 30.9 29.0 42.5 29.1 26.4 27.6 25.9 34.5 26.1 26.9 35.5
## [1261] 34.4 29.8 34.2 31.3 40.1 26.8 29.4 42.4 34.5 26.3 37.5 30.4 36.6 26.2
## [1275] 27.0 27.5 64.9 36.2 32.8 25.9 26.0 35.2 25.8 33.8 26.7 27.0 30.9 36.1
## [1289] 27.6 28.7 29.0 26.2 31.7 34.3 25.9 26.5 32.9 27.7 38.4 28.6 34.9 30.0
## [1303] 31.7 25.9 32.2 38.0 26.0 31.7 51.2 35.8 31.4 35.4 31.7 29.0 28.3 30.0
## [1317] 29.6 28.5 38.1 33.8 28.3 25.9 29.6 51.9 36.6 26.5 50.5 25.9 27.4 34.3
## [1331] 42.4 40.8 31.2 38.4 57.5 25.6 34.8 31.2 26.1 26.3 27.9 43.7 56.6 34.8
## [1345] 26.2 28.4 26.0 30.2 30.3 58.3 27.6 27.1 29.5 28.1 27.0 28.7 27.2 29.0
## [1359] 27.1 28.1 30.8 38.8 40.1 29.7 26.0 27.9 31.9 31.8 31.3 26.3 26.9 25.9
## [1373] 38.9 36.7 27.7 26.5 26.2 26.7 26.2 28.8 29.1 27.9 27.3 28.8 47.9 34.2
## [1387] 33.9 26.5 25.8 29.3 38.3 26.2 30.9 30.5 32.4 29.4 29.5 32.7 30.0 27.8
## [1401] 32.4 27.3 30.0 26.8 27.8 47.5 30.9 27.2 37.3 28.0 34.4 25.9 27.7 27.2
## [1415] 28.9 26.9 30.0 25.6 26.7 36.7 26.8 30.1 29.7 28.5 34.7 27.8 26.2 26.1
## [1429] 43.9 31.0 31.8 42.9 27.8 28.4 26.1 27.0 57.3 33.4 36.3 66.0 29.7 27.2
## [1443] 28.9 28.9 37.1 26.8 26.5 30.9 29.3 29.1 35.4 33.2 25.6 26.3 29.2 30.3
## [1457] 32.0 29.4 36.1 27.8 28.1 29.7 28.6 27.3 30.4 25.9 43.9 27.5 32.4 29.0
## [1471] 38.6 27.2 25.9 29.5 27.7 26.4 30.1 25.9 26.6 34.2 26.7 36.0 27.3 25.9
## [1485] 33.4 27.3 30.0 62.8 27.5 31.2 27.8 64.9 26.7 26.5 31.3 29.4 26.6 26.9
## [1499] 27.8 33.7 27.2 29.7 33.3 37.1 29.8 26.8 29.4 31.3 43.2 32.1 27.2 34.3
## [1513] 28.4 29.0 29.4 31.0 34.9 26.3 31.2 41.0 26.2 46.7 29.7 28.4 29.8 34.4
## [1527] 25.9 26.8 27.1 26.0 26.8 25.8 30.0 34.9 33.0 26.5 28.4 43.5 28.3 34.5
## [1541] 27.8 26.1 28.4 39.0 26.4 32.5 28.8 32.5 27.4 28.4 28.0 30.2 31.3 35.2
## [1555] 27.3 27.1 30.2 28.7 26.5 27.8 31.4 35.0 35.5 29.7 26.9 29.4 35.1 28.9
## [1569] 27.3 26.4 27.1 47.7 27.8 54.2 35.0 26.9 28.2 31.4 45.6 27.1 25.9 26.9
## [1583] 42.3 37.4 32.0 25.7 33.0 26.5 26.1 30.1 41.3 26.0 35.2 28.8 32.3 26.7
## [1597] 31.7 54.1 34.2 26.2 50.6 27.4 28.2 26.7 33.4 43.9 40.0 40.5 31.0 29.9
## [1611] 27.7 29.2 29.7 69.0 28.4 28.9 26.3 33.9 26.6 32.1 25.9 36.7 31.3 26.6
## [1625] 26.4 28.7 34.4 26.1 26.3 28.0 34.0 26.4 25.9 26.9 30.1 26.2 27.3 27.2
## [1639] 25.8 26.5 31.5 45.7 27.8 32.5 28.3 32.0 26.6 26.6 28.6 25.9 26.6 31.0
## [1653] 26.8 26.9 30.3 27.9 35.6 32.4 32.1 30.4 28.2 31.2 32.5 27.5 29.5 25.6
## [1667] 28.4 42.2 34.4 27.2 29.0 26.2 30.0 27.2 31.2 32.1 28.9 41.1 31.0 27.7
## [1681] 30.9 27.5 49.5 27.0 33.7 29.0 36.5 32.9 26.3 27.8 26.0 34.4 29.0 25.9
## [1695] 32.5 25.9 28.3 28.2 26.4 29.0 33.7 63.4 27.8 40.1 31.3 29.0 56.1 28.0
## [1709] 29.0 26.8 28.6 26.0 33.9 27.2 30.6 27.2 34.5 26.6 30.7 29.8 28.5 25.9
## [1723] 35.2 27.7 27.6 41.9 49.7 37.1 35.3 33.7 37.8 30.2 26.9 26.8 25.8 27.3
## [1737] 31.0 27.6 28.9 25.7 30.3 38.0 25.9 27.7 39.3 29.0 35.1 25.9 29.4 33.3
## [1751] 27.5 39.7 26.6 30.3 36.5 53.5 38.3 26.6 26.5 34.2 26.3 25.8 26.6 26.0
## [1765] 29.3 43.1 28.0 32.2 26.9 29.8 29.7 31.0 29.4 27.8 37.5 26.2 29.2 38.5
## [1779] 40.4 30.2 34.5 32.8 26.5 36.7 43.7 43.7 26.1 33.3 29.5 29.0 33.7 39.6
## [1793] 30.7 36.3 29.4 27.9 28.0 35.9 34.9 26.7 33.6 27.1 39.1 26.6 33.3 27.5
## [1807] 29.7 28.2 25.6 36.5 37.9 27.3 29.3 25.8 25.9 26.6 28.7 29.2 30.7 28.9
## [1821] 26.9 60.7 28.9 32.7 57.0 32.6 44.5 28.8 25.9 25.9 27.8 26.2 33.5 37.6
## [1835] 37.2 27.5 36.2 29.9 27.8 27.8 27.2 27.6 30.4 32.8 27.6 26.0 27.9 25.7
## [1849] 31.2 27.2 26.4 65.0 30.0 26.7 30.1 26.2 36.7 41.2 31.3 30.2 30.7 34.5
## [1863] 43.3 30.6 27.3 30.8 27.5 29.8 26.1 31.1 25.7 31.4 44.3 26.8 35.8 27.5
## [1877] 30.9 27.9 29.0 26.4 29.2 26.5 62.5 39.0 26.4 25.6 53.2 28.8 32.6 27.4
## [1891] 28.2 34.7 30.6 26.7 65.7 27.0 33.5 26.8 31.9 27.2 34.7 35.6 26.6 25.8
## [1905] 37.0 27.7 36.2 33.3 28.8 25.9 33.6 28.6 25.9 26.8 25.7 30.6 27.0 26.1
## [1919] 25.7 28.9 34.1 29.2 25.9 26.6 29.9 34.3 39.6 31.1 30.4 28.1 25.9 33.7
## [1933] 25.7 26.9 31.0 40.2 25.6 29.0 28.1 31.4 28.4 29.0 33.0 29.1 28.0 25.6
## [1947] 31.7 27.8 28.0 27.5 25.8 33.7 34.2 25.9 41.0 28.4 34.9 26.1 27.2 29.4
## [1961] 27.8 30.2 29.3 25.8 27.9 32.5 36.5 45.7 51.2 27.8 54.1 36.9 26.0 29.7
## [1975] 35.2 41.9 27.3 26.6 26.7 32.8 29.1 25.9 38.1 32.5 42.3 28.7 28.1 30.4
## [1989] 29.2 36.9 33.7 27.6 31.7 26.7 35.0 26.6 25.9 26.0 26.8 29.5 40.8 32.7
## [2003] 25.9 25.6 33.3 27.2 47.7 31.0 29.7 26.6 25.9 36.5 58.3 25.9 26.5 25.9
## [2017] 26.8 31.7 27.1 30.0 35.5 37.8 51.1 29.2 31.0 29.1 33.3 30.7 50.6 25.9
## [2031] 35.2 26.5 40.8 31.3 33.0 32.7 33.0 31.6 29.2 26.2 26.9 30.9 35.1 25.9
## [2045] 27.2 27.8 31.7 42.2 31.9 27.3 32.1 38.6 33.1 32.1 30.6 29.0 30.4 30.2
## [2059] 30.4 33.8 32.3 34.4 27.8 26.2 29.1 28.5 26.7 25.6 27.8 28.1 28.3 25.8
## [2073] 32.0 29.4 34.4 27.8 32.2 29.1 26.6 28.8 29.0 29.7 34.1 28.6 38.7 27.3
## [2087] 27.9 37.3 29.4 27.8 49.7 41.2 25.9 25.8 27.8 38.6 26.5 25.7 32.5 30.7
## [2101] 32.0 27.9 25.7 27.0 25.9 26.6 34.4 34.7 28.7 32.4 27.9 32.6 34.7 30.0
## [2115] 32.8 26.8 26.0 30.5 31.3 28.5 25.7 28.2 44.4 26.0 53.7 34.6 29.1 48.4
## [2129] 25.8 36.2 28.0 26.3 26.2 42.6 30.6 26.5 33.9 44.0 27.6 27.0 51.7 32.9
## [2143] 28.4 26.8 37.4 30.0 34.4 31.2 33.7 36.3 27.6 26.9 28.1 25.9 26.2 25.6
## [2157] 26.9 28.2 25.7 26.8 27.2 27.2 26.2 34.9 25.6 30.6 27.1 25.6 28.8 62.8
## [2171] 29.1 39.0 26.2 37.0 32.0 56.3 37.6 26.6 32.9 26.0 28.9 29.6 29.5 27.2
## [2185] 28.4 43.7 31.4 25.6 32.6 36.8 25.9 37.1 32.2 25.8 27.8 26.3 29.1 31.6
## [2199] 27.1 27.1 25.9 26.9 28.3 26.5 44.8 30.0 29.7 31.0 28.7 30.4 38.7 31.3
## [2213] 27.8 25.9 33.0 32.5 30.1 26.4 29.0 32.3 40.9 27.8 50.8 32.5 29.8 25.7
## [2227] 31.8 26.5 32.1 31.7 40.6 28.1 40.4 26.2 32.4 26.2 30.1 26.1 29.4 27.8
## [2241] 33.0 26.6 34.2 29.4 27.0 29.6 27.2 33.9 30.7 30.5 26.7 28.3 29.7 27.7
## [2255] 40.6 41.1 25.7 33.4 30.6 30.0 27.2 26.7 26.8 31.5 50.5 25.9 35.8 33.6
## [2269] 27.9 26.5 28.5 44.2 28.5 31.1 28.1 39.2 47.0 28.2 28.3 32.9 27.0 31.3
## [2283] 31.0 35.2 26.4 41.4 37.1 33.2 30.5 26.2 26.6 26.7 28.4 27.6 57.6 38.5
## [2297] 27.1 32.9 29.0 30.5 25.9 27.5 26.5 30.7 25.9 27.6 38.4 34.2 25.9 27.4
## [2311] 26.1 27.1 29.9 38.4 56.0 29.3 29.8 27.2 28.6 29.2 31.4 45.6 28.3 32.5
## [2325] 30.9 28.8 32.0 34.7 28.1 35.9 33.3 29.5 35.6 29.8 29.4 32.9 30.4 30.0
## [2339] 33.9 26.1 25.7 28.1 27.7 26.9 27.2 27.8 40.9 32.3 37.6 28.7 30.2 33.0
## [2353] 36.9 42.0 30.9 25.9 26.8 34.5 37.1 45.0 27.3 28.3 29.2 41.6 26.6 31.8
## [2367] 31.8 28.4 26.3 29.3 27.2 30.4 26.6 41.6 26.1 26.1 28.1 27.3 28.7 36.6
## [2381] 27.6 32.5 26.9 27.1 30.1 26.6 31.5 28.1 31.2 34.9 41.2 33.6 26.3 25.9
## [2395] 34.1 30.0 32.9 26.2 26.3 55.8 36.6 30.0 36.5 25.9 36.9 38.5 27.1 34.2
## [2409] 29.3 31.0 32.1 30.6 25.9 35.1 29.1 31.6 27.8 25.9 27.8 36.2 25.6 26.9
## [2423] 36.1 27.1 37.4 29.3 25.6 31.9 27.5 30.0 33.3 29.4 26.1 26.7 26.2 30.9
## [2437] 28.8 37.6 27.5 30.9 33.2 27.0 25.9 28.6 27.5 36.3 31.1 28.4 35.6 26.2
## [2451] 31.2 25.8 31.9 38.4 26.9 28.4 26.5 26.4 31.5 27.1 28.4 30.0 26.5 26.6
## [2465] 26.6 27.3 41.9 28.1 34.8 25.9 27.1 33.0 37.1 25.9 25.6 28.2 28.2 27.2
## [2479] 37.1 27.1 25.9 28.6 26.9 26.9 43.2 37.1 31.7 25.9 30.5 50.3 38.6 30.2
## [2493] 26.1 34.1 26.0 33.9 25.9 30.7 32.2 30.5 36.1 31.6 31.2 29.4 26.1 52.3
## [2507] 26.2 27.0 31.3 28.4 34.5 31.0 38.4 32.2 26.8 29.4 29.9 25.9 25.7 47.5
## [2521] 27.7 26.3 32.4 26.6 26.3 33.3 28.7 33.3 27.5 33.0 37.6 25.9 28.3 34.2
## [2535] 26.6 27.9 30.7 25.9 25.6 29.7 28.4 27.9 26.0 32.2 27.6 41.2 36.8 38.3
## [2549] 29.1 28.7 26.5 39.2 26.6 28.2 37.7 31.2 27.6 25.7 35.0 28.4 29.4 43.0
## [2563] 33.6 26.7 27.7 62.8 35.5 29.9 33.1 39.8 31.1 27.5 49.7 34.4 33.0 30.3
## [2577] 29.9 34.7 31.2 27.7 25.9 39.0 36.5 36.3 31.2 33.0 28.2 26.8 25.8 30.9
## [2591] 27.6 37.3 28.2 26.0 27.2 29.7 26.2 28.7 32.1 31.4 33.3 36.2 29.4 31.3
## [2605] 36.2 29.3 58.3 25.9 26.2 30.2 50.2 41.2 28.8 32.8 32.2 31.2 26.5 31.0
## [2619] 26.0 29.3 33.7 26.5 36.7 52.6 28.1 27.3 26.6 26.3 27.1 31.7 31.4 34.4
## [2633] 26.4 32.2 29.1 25.7 28.6 31.3 38.5 30.6 28.5 26.8 30.9 27.6 26.3 39.4
## [2647] 38.8 26.6 39.0 29.8 26.8 27.7 36.7 42.8 25.9 27.5 26.5 34.3 27.0 44.2
## [2661] 33.9 26.8 28.4 26.8 40.2 32.0 27.8 26.2 29.4 32.9 27.4 25.6 27.4 34.7
## [2675] 32.2 30.4 28.7 29.0 38.7 34.2 28.8 29.4 33.7 32.0 26.8 38.8 26.3 27.0
## [2689] 26.3 44.1 26.0 35.0 29.4 27.1
print(df_2_anomalies_wind_speed)
## [1] 32.4 26.2 35.0 30.3 30.0 28.9 44.5 27.7 27.6 31.0 26.2 29.9 27.5 29.4
## [15] 29.4 27.8 26.8 27.7 33.6 34.5 41.8 29.1 30.7 30.9 44.3 52.3 26.6 25.9
## [29] 34.6 53.2 29.6 27.8 26.9 32.7 27.5 26.1 37.1 33.7 27.1 33.0 46.3 27.3
## [43] 28.9 40.9 28.7 44.2 33.9 47.8 31.0 34.9 64.5 28.4 37.0 26.7 31.6 30.0
## [57] 38.0 41.6 26.9 38.6 25.8 25.9 27.6 29.3 27.2 28.7 30.0 30.0 36.7 30.1
## [71] 35.1 26.5 30.0 26.2 28.6 30.7 33.1 35.9 32.6 26.0 28.1 26.8 26.2 27.2
## [85] 29.9 26.8 37.6 29.4 27.0 27.0 36.3 30.7 32.3 27.5 39.4 26.7 40.4 26.6
## [99] 25.9 30.5 29.2 28.7 26.8 27.5 31.8 27.8 31.4 27.2 35.7 29.5 27.6 31.2
## [113] 36.8 32.8 27.8 42.9 26.1 28.1 36.7 35.5 33.8 51.9 30.3 29.2 36.1 30.7
## [127] 29.2 42.4 26.8 26.9 27.3 27.2 30.7 31.0 26.5 32.3 28.0 31.1 28.7 63.4
## [141] 34.8 34.3 28.6 30.7 27.3 26.6 29.8 30.9 38.7 27.2 26.8 27.2 30.0 36.9
## [155] 26.8 34.9 30.7 28.0 25.8 69.0 30.9 26.0 28.0 25.9 29.8 26.2 26.1 32.2
## [169] 29.7 32.7 38.3 36.5 32.1 41.3 31.0 31.6 26.1 31.2 25.8 26.7 26.1 27.8
## [183] 26.2 28.6 29.7 26.8 28.6 63.4 26.0 25.8 29.2 28.6 28.4 28.2 30.7 36.1
## [197] 30.9 26.6 26.6 40.2 28.4 29.0 27.0 47.5 32.8 30.0 30.8 26.0 26.2 26.5
## [211] 41.3 30.2 31.5 26.6 25.9 29.6 27.8 28.7 32.6 32.0 26.2 26.9 26.5 32.5
## [225] 25.8 33.3 32.1 31.8 27.5 38.6 30.9 27.8 26.9 33.4 31.4 38.6 32.0 27.2
## [239] 26.2 35.7 42.3 51.2 33.1 29.5 26.8 26.8 27.8 44.6 27.2 40.2 27.7 29.4
## [253] 26.5 31.0 27.3 30.7 30.4 27.0 41.0 31.3 35.4 31.1 48.6 25.9 28.2 29.3
## [267] 31.5 27.0 36.0 43.0 35.1 27.2 30.4 42.9 26.1 28.9 46.5 28.4 26.3 34.2
## [281] 25.9 26.5 29.5 30.8 41.3 28.7 45.7 26.8 33.0 28.0 26.6 29.4 29.1 37.1
## [295] 27.7 26.6 30.5 51.0 29.4 26.5 26.5 26.0 30.8 29.8 28.4 32.2 50.6 38.2
## [309] 25.9 25.9 51.6 31.4 36.7 27.5 44.8 27.6 26.2 33.9 36.5 27.2 29.6 42.9
## [323] 31.4 28.4 27.8 28.1 26.6 32.1 28.6 30.6 26.9 33.8 26.8 26.2 29.8 26.1
## [337] 28.0 36.7 27.0 25.9 31.6 26.6 32.4 54.8 28.4 39.0 25.9 29.4 32.2 38.8
## [351] 30.2 26.6 26.6 26.0 28.4 34.9 26.5 28.7 25.8 27.1 27.8 25.9 29.1 29.5
## [365] 27.4 26.8 46.5 37.7 26.7 38.1 29.6 40.2 28.8 33.3 26.9 25.8 27.8 27.8
## [379] 34.0 31.7 27.8 31.9 26.5 28.5 26.8 26.9 25.9 36.0 28.6 42.6 29.4 38.9
## [393] 27.1 40.1 26.2 33.3 29.0 33.6 34.2 30.2 29.2 29.7 26.0 30.5 36.0 29.8
## [407] 26.7 30.4 25.9 35.3 27.2 28.5 27.5 26.9 26.7 26.5 32.9 26.6 34.5 36.1
## [421] 27.1 26.4 30.4 29.2 28.6 30.7 25.9 37.4 29.2 29.2 33.0 26.5 27.2 27.8
## [435] 31.2 26.9 43.9 26.7 29.4 52.6 28.6 26.8 27.2 30.9 30.3 30.3 27.6 26.8
## [449] 26.6 25.8 28.7 32.1 41.7 33.5 26.7 27.8 27.3 55.4 27.3 26.1 30.6 51.7
## [463] 31.8 60.4 26.3 30.9 27.2 41.3 31.2 32.7 25.9 33.5 25.9 32.5 26.7 26.4
## [477] 38.6 27.1 26.4 31.0 28.1 29.1 33.4 36.9 29.2 41.3 32.8 26.9 40.3 35.9
## [491] 26.3 28.9 26.2 29.1 30.2 46.1 28.1 29.1 26.6 26.3 26.9 36.2 28.0 28.6
## [505] 33.8 29.2 35.8 34.2 26.6 34.2 30.6 26.7 25.9 27.2 50.9 33.7 28.6 28.5
## [519] 39.6 35.0 50.6 33.7 30.6 30.6 25.8 26.8 30.7 26.5 26.5 29.3 33.7 33.5
## [533] 29.1 27.8 28.9 27.6 29.0 26.8 28.4 28.4 31.3 33.0 28.5 31.4 33.0 28.0
## [547] 31.4 34.3 26.5 38.3 30.1 26.8 30.9 30.3 28.8 26.1 27.2 28.2 31.0 30.0
## [561] 34.9 28.3 31.0 28.4 38.7 34.2 30.3 35.6 28.1 26.5 26.2 35.3 28.9 26.7
## [575] 34.5 30.3 30.6 27.2 30.1 26.9 26.0 31.3 28.4 54.2 27.8 29.7 29.8 31.4
## [589] 30.2 26.3 25.9 26.6 34.1 28.7 28.5 26.9 43.0 26.2 38.3 27.7 29.5 32.0
## [603] 37.6 28.2 33.8 29.9 30.6 33.1 28.5 37.1 33.7 27.9 26.1 31.0 27.7 37.7
## [617] 29.9 32.1 35.5 31.1 28.1 47.5 26.5 38.6 27.5 30.0 34.2 27.2 37.1 27.3
## [631] 25.8 32.2 28.1 29.0 26.8 26.0 44.7 39.8 36.7 28.0 26.0 30.7 26.2 36.5
## [645] 28.2 36.4 27.2 26.9 34.3 26.4 28.1 27.6 29.2 29.2 28.6 27.5 31.4 49.5
## [659] 26.2 26.9 25.9 34.2 34.8 26.1 28.2 33.2 26.1 27.7 26.8 33.8 30.0 35.2
## [673] 27.6 35.6 27.5 31.3 27.2 32.8 31.2 31.3 33.8 26.9 29.9 33.0 28.1 40.9
## [687] 26.5 32.9 28.2 33.7 34.9 34.0 34.9 34.0 40.1 40.2 26.7 28.2 27.7 32.9
## [701] 52.1 27.2 37.9 30.2 28.8 51.0 29.7 41.2 28.6 31.2 31.3 35.6 31.6 27.8
## [715] 26.8 25.9 29.0 63.2 40.1 28.9 35.8 31.7 29.0 33.7 33.5 50.6 33.6 42.8
## [729] 29.9 35.8 29.6 26.2 26.7 34.3 29.4 26.6 34.5 36.2 26.7 27.8 29.7 32.3
## [743] 29.7 27.1 26.6 28.0 26.4 32.2 28.4 29.8 36.4 26.3 37.4 29.4 30.3 35.0
## [757] 33.4 33.8 37.6 52.2 28.7 38.2 32.4 25.9 36.3 25.9 30.7 30.9 26.8 36.6
## [771] 27.0 31.0 26.8 32.4 27.6 28.3 33.0 27.3 27.2 66.0 29.1 26.2 27.8 28.8
## [785] 25.9 32.2 38.8 28.2 28.3 25.8 33.9 30.7 32.6 28.0 30.2 28.0 34.4 35.5
## [799] 33.6 38.7 28.1 26.9 31.3 44.6 28.0 36.9 26.2 29.4 36.7 32.4 44.6 30.4
## [813] 28.1 42.2 32.5 31.6 33.3 50.6 27.5 26.1 27.1 47.9 27.8 41.0 32.0 26.1
## [827] 30.2 35.0 27.7 31.9 32.1 25.9 27.8 30.0 30.6 32.8 26.6 30.3 26.7 26.1
## [841] 27.6 26.1 28.2 33.9 30.7 26.2 26.7 30.0 31.4 32.0 34.0 31.0 30.0 43.4
## [855] 42.8 32.2 29.4 26.5 28.1 29.0 27.2 51.0 28.4 26.4 27.8 29.1 32.9 33.5
## [869] 29.1 26.0 28.0 27.9 36.8 30.3 26.6 30.1 31.2 29.7 27.7 44.0 30.6 33.3
## [883] 30.2 28.8 35.4 35.5 36.1 26.6 29.4 27.7 25.8 30.3 41.1 26.4 27.5 38.9
## [897] 26.2 41.2 28.3 43.7 28.6 26.1 28.4 33.0 44.5 35.2 29.4 50.6 28.0 28.7
## [911] 32.3 34.1 29.0 30.1 25.9 33.0 38.5 26.2 27.1 27.2 36.6 28.8 27.2 28.8
## [925] 28.3 63.4 29.0 33.6 53.2 25.9 37.4 36.1 31.0 28.3 26.5 29.3 58.3 28.8
## [939] 30.7 27.0 33.3 31.7 27.7 32.3 28.8 26.6 29.7 34.5 29.5 37.0 30.8 27.0
## [953] 29.5 30.5 30.7 28.6 28.4 27.1 34.1 38.1 37.4 26.6 28.0 25.9 31.0 26.4
## [967] 28.1 29.8 27.6 32.9 28.1 44.2 34.5 29.9 30.2 28.4 30.3 26.0 30.5 28.7
## [981] 33.0 34.7 50.6 36.7 42.8 26.2 26.8 33.8 27.5 26.4 31.3 29.7 27.5 29.7
## [995] 34.9 33.7 28.4 31.9 40.3 29.1 28.2 25.9 30.6 42.8 28.7 32.5 38.7 34.5
## [1009] 35.1 34.9 30.2 28.4 35.0 26.4 30.7 37.1 30.1 29.4 27.7 29.2 34.7 26.3
## [1023] 26.8 26.1 27.6 27.8 31.3 37.1 35.6 26.5 50.6 26.6 33.7 29.7 35.4 28.3
## [1037] 29.4 30.0 28.2 26.3 35.8 36.5 34.7 28.0 25.9 27.2 27.2 30.0 25.8 28.4
## [1051] 26.2 46.1 27.1 30.4 33.3 29.4 35.1 26.2 30.4 28.0 26.0 44.5 33.3 28.6
## [1065] 26.5 27.8 27.3 30.8 31.7 27.8 28.1 26.0 32.2 32.9 31.0 27.0 34.9 31.2
## [1079] 34.9 38.6 30.8 26.0 42.4 35.5 26.8 25.9 28.7 27.8 27.6 26.2 40.1 31.9
## [1093] 29.0 30.0 27.7 26.2 27.7 34.4 28.2 48.3 27.5 41.3 26.5 33.0 36.1 26.2
## [1107] 29.2 31.4 27.2 28.0 27.8 36.8 33.8 28.2 27.8 25.9 54.8 30.5 29.3 27.5
## [1121] 27.8 25.8 28.1 30.2 36.3 29.5 26.8 28.0 48.5 26.5 31.6 36.9 43.9 29.6
## [1135] 27.8 26.7 28.1 33.8 28.1 37.2 38.2 39.2 28.0 26.7 29.2 27.6 26.2 40.3
## [1149] 30.5 34.5 32.0 39.0 37.1 26.8 26.2 30.6 32.3 40.7 26.2 26.2 27.0 25.8
## [1163] 35.0 29.8 28.8 29.1 34.5 26.8 26.5 58.7 51.9 30.3 27.3 30.9 30.0 28.4
## [1177] 26.0 25.8 28.1 27.5 27.2 44.4 30.0 28.2 26.8 25.9 37.3 27.3 42.4 29.4
## [1191] 27.5 26.3 37.8 28.7 27.8 33.9 32.2 34.3 27.3 26.0 35.5 26.8 26.9 31.5
## [1205] 34.5 26.6 28.8 29.0 37.0 27.8 34.7 28.0 34.2 29.4 33.1 31.3 29.4 30.2
## [1219] 27.1 43.9 31.2 27.4 28.7 32.3 44.0 40.1 29.7 27.8 27.7 27.0 26.0 26.9
## [1233] 28.8 30.1 47.9 38.3 25.9 37.1 34.9 39.0 29.8 27.7 33.2 30.4 30.9 31.0
## [1247] 27.4 27.8 50.3 27.8 27.0 34.5 36.9 29.1 36.8 32.6 33.9 30.0 29.1 28.1
## [1261] 27.9 27.2 27.5 26.9 31.3 26.1 32.9 27.9 41.3 35.5 27.8 27.7 25.9 34.7
## [1275] 28.2 28.0 29.4 32.8 26.7 26.1 30.1 33.0 34.6 33.5 28.4 50.8 37.3 36.9
## [1289] 29.6 31.2 26.9 30.4 32.0 36.2 27.7 26.8 26.5 40.6 28.1 49.5 25.9 29.9
## [1303] 27.8 35.5 30.5 29.7 30.3 30.0 34.9 36.3 29.8 51.6 29.5 25.8 29.8 40.0
## [1317] 30.5 27.0 27.4 32.7 26.0 25.9 33.7 25.9 30.7 26.3 31.3 28.3 28.9 37.8
## [1331] 47.5 29.6 25.9 29.1 44.0 28.1 28.6 26.2 27.5 29.8 47.1 30.9 32.9 33.3
## [1345] 27.8 27.1 26.4 31.3 26.4 32.7 31.3 32.4 34.2 37.7 27.8 31.3 37.3 30.2
## [1359] 33.3 30.4 33.3 27.8 31.2 26.2 68.8 29.9 26.8 26.9 29.7 29.9 27.3 30.3
## [1373] 41.0 27.1 27.4 42.6 26.5 31.2 29.1 35.2 30.3 33.7 34.1 33.1 30.0 63.2
## [1387] 27.9 32.7 27.2 27.7 28.5 31.5 25.8 29.1 56.1 27.0 35.1 28.5 33.7 29.4
## [1401] 27.0 27.7 31.1 25.8 30.9 33.2 35.5 32.9 37.5 28.4 40.1 42.6 32.0 29.1
## [1415] 48.4 37.3 30.1 43.0 28.1 26.2 29.0 33.4 29.0 28.1 26.7 27.6 27.2 28.2
## [1429] 27.9 30.7 29.1 31.2 27.3 30.0 29.1 26.9 29.3 30.2 26.2 32.0 43.3 31.7
## [1443] 28.1 27.5 31.6 26.6 25.9 27.7 30.4 31.3 26.2 28.1 26.2 31.0 31.4 28.1
## [1457] 29.8 28.5 27.9 35.4 34.2 35.2 28.8 30.9 29.5 32.5 30.0 28.6 35.5 26.1
## [1471] 31.2 47.6 27.6 28.7 33.2 32.0 30.8 35.1 25.9 30.2 41.8 26.4 25.8 29.3
## [1485] 29.5 30.2 31.2 37.7 33.3 31.0 28.8 48.8 26.2 43.8 38.7 26.0 45.8 27.2
## [1499] 63.4 40.6 39.0 26.7 30.4 28.4 32.2 31.2 26.2 26.3 27.2 34.8 27.5 34.2
## [1513] 30.2 32.9 26.3 26.9 26.8 31.0 27.1 30.6 26.8 26.3 31.9 28.6 31.6 29.0
## [1527] 43.5 29.2 27.8 26.6 34.5 43.0 26.4 32.3 30.5 27.1 30.8 34.9 30.7 26.9
## [1541] 36.5 35.5 26.2 30.0 32.2 25.9 27.0 26.2 30.5 29.4 25.9 35.4 26.2 26.9
## [1555] 28.8 26.8 30.6 26.2 26.7 30.6 27.3 27.3 33.5 29.3 27.5 27.9 33.8 32.9
## [1569] 37.6 28.9 32.5 28.0 29.0 25.9 31.2 31.6 27.8 28.4 27.3 27.4 28.3 42.9
## [1583] 29.0 28.4 29.7 26.1 26.8 29.0 28.3 37.9 26.4 37.6 34.7 26.5 30.5 29.0
## [1597] 28.4 36.3 34.9 35.5 42.8 26.2 32.9 26.0 32.9 26.3 26.8 27.8 25.9 27.5
## [1611] 26.8 27.2 27.9 34.1 26.9 25.9 36.6 35.0 34.2 26.9 43.1 32.5 29.4 34.5
## [1625] 31.8 36.5 28.1 42.6 45.9 26.2 29.8 35.6 31.0 31.5 26.0 28.3 34.9 34.5
## [1639] 26.9 34.0 30.7 26.8 31.1 27.5 26.6 38.4 31.4 29.0 30.3 27.3 28.0 27.4
## [1653] 28.8 30.5 62.8 26.8 30.7 26.7 30.2 35.4 26.5 31.5 27.6 28.3 27.9 27.3
## [1667] 33.7 33.9 30.7 34.4 27.3 34.5 38.3 32.0 29.0 25.8 31.8 27.2 28.8 27.2
## [1681] 26.8 26.2 26.5 26.1 27.6 28.0 29.0 31.2 30.6 36.5 27.8 35.4 28.0 36.3
## [1695] 26.9 33.5 31.1 31.0 54.2 25.8 29.1 28.1 32.2 28.4 26.0 28.3 31.6 27.8
## [1709] 34.3 27.1 32.2 28.8 31.6 26.7 30.1 29.7 27.7 26.9 27.8 29.1 27.5 26.4
## [1723] 28.5 27.8 37.7 32.9 32.2 29.7 29.1 29.6 28.6 31.2 34.9 29.1 26.9 35.9
## [1737] 30.4 27.6 29.7 29.9 27.8 31.6 27.8 29.6 29.1 26.1 32.2 54.1 28.8 36.2
## [1751] 32.4 36.8 34.2 31.7 68.3 26.8 27.7 29.4 33.5 28.8 59.7 26.7 30.2 31.0
## [1765] 28.9 26.5 43.0 28.4 26.5 29.1 27.3 25.9 38.1 33.7 27.1 33.5 30.7 33.6
## [1779] 35.2 27.8 27.9 27.2 32.2 27.2 28.8 30.0 26.2 26.4 25.9 30.1 27.0 32.2
## [1793] 37.4 26.7 28.7 36.3 30.4 31.0 26.4 30.2 26.1 26.0 36.2 28.1 35.6 27.6
## [1807] 31.6 35.1 29.3 25.9 26.8 29.7 28.2 27.8 25.9 33.5 35.4 31.5 30.0 36.5
## [1821] 36.5 26.8 47.7 26.1 30.3 26.5 25.8 26.6 38.0 28.7 28.2 31.0 27.6 27.5
## [1835] 29.3 32.3 25.9 29.9 30.5 28.3 26.5 26.6 47.5 30.1 27.7 30.2 28.2 30.6
## [1849] 31.9 30.7 32.4 41.0 27.5 29.8 45.0 33.0 25.9 30.4 29.8 30.1 33.9 42.4
## [1863] 28.5 32.8 31.2 25.9 26.2 32.0 32.4 27.9 29.3 26.9 28.3 34.2 42.9 27.2
## [1877] 36.2 30.9 27.8 36.2 27.5 33.0 32.6 34.6 30.3 34.2 26.8 27.2 35.6 26.8
## [1891] 31.3 38.6 26.8 25.9 27.6 26.5 26.7 27.3 29.1 30.0 26.6 33.5 29.5 67.7
## [1905] 25.9 32.9 28.9 26.2 28.6 34.7 36.2 34.4 26.7 31.3 27.8 34.2 26.5 35.5
## [1919] 26.0 34.5 27.8 29.3 27.3 31.3 25.8 41.3 26.5 29.4 35.7 25.9 28.4 28.9
## [1933] 44.6 33.0 33.3 41.2 27.8 34.0 25.9 27.0 30.3 27.5 36.5 29.1 30.0 35.6
## [1947] 30.0 36.1 26.8 29.7 38.0 26.3 30.4 29.8 28.3 26.2 30.7 28.3 27.2 26.8
## [1961] 26.2 32.1 29.7 27.5 45.3 32.9 26.2 28.1 27.4 26.3 26.0 31.3 25.9 36.6
## [1975] 27.9 41.6 26.5 25.9 28.7 42.3 36.3 31.0 26.8 35.8 27.2 33.1 43.1 31.2
## [1989] 52.1 41.3 26.1 26.0 31.2 33.7 38.8 35.3 39.1 27.5 35.0 31.0 34.9 28.7
## [2003] 35.9 30.4 41.6 32.8 31.6 30.8 35.5 25.9 27.5 40.0 33.5 26.8 43.7 25.8
## [2017] 37.2 26.5 26.9 27.3 26.5 45.7 46.5 26.1 34.6 29.4 34.7 29.6 60.7 36.6
## [2031] 27.2 41.1 28.4 26.8 31.5 28.4 35.5 29.7 26.3 32.0 38.3 51.0 35.8 29.1
## [2045] 31.8 33.1 48.5 28.6 30.5 33.6 33.8 31.8 34.0 34.4 29.5 33.8 27.8 29.0
## [2059] 40.2 26.8 25.8 34.9 29.9 27.2 28.2 33.9 35.6 25.8 29.8 26.4 30.0 26.7
## [2073] 26.4 28.6 33.8 38.1 28.2 27.2 36.7 26.5 27.1 31.8 26.5 32.9 30.0 31.5
## [2087] 27.5 32.0 29.4 33.2 29.7 29.0 26.8 27.7 29.9 28.3 37.7 27.4 27.1 26.2
## [2101] 31.1 38.4 26.0 40.9 27.1 28.3 45.8 27.5 26.9 28.0 31.6 58.3 31.1 27.0
## [2115] 29.8 29.3 32.2 33.3 63.2 34.4 31.6 26.4 30.2 30.1 25.9 38.4 37.8 40.7
## [2129] 36.7 36.4 26.2 26.2 35.2 27.6 26.5 37.2 26.1 26.4 32.5 37.7 46.3 26.8
## [2143] 43.9 27.5 40.1 28.1 27.0 53.5 26.6 29.8 27.5 44.2 29.1 30.4 26.9 32.8
## [2157] 28.5 26.8 27.7 40.1 31.0 35.4 38.8 28.4 26.2 27.2 26.6 29.4 27.5 27.3
## [2171] 31.6 37.9 33.1 25.9 36.1 36.6 28.3 28.3 28.7 29.0 31.3 29.0 30.2 26.1
## [2185] 30.7 28.8 26.0 27.4 36.3 27.9 26.7 31.5 29.7 29.1 36.7 29.7 30.1 28.4
## [2199] 32.0 30.7 26.2 34.1 26.9 33.3 26.6 32.8 29.3 27.4 36.3 26.9 36.2 28.2
## [2213] 38.1 49.5 27.7 27.6 27.3 33.7 27.8 26.5 26.2 26.6 28.0 25.9 31.2 30.2
## [2227] 27.6 34.2 36.6 36.9 28.1 28.6 28.4 27.8 26.0 29.9 28.1 28.4 26.2 28.7
## [2241] 28.0 27.2 35.9 33.0 31.0 27.8 26.2 27.8 26.5 33.5 33.5 25.9 25.9 31.9
## [2255] 28.0 39.7 25.9 30.9 31.4 26.7 27.6 26.9 26.9 29.1 26.9 26.5 27.5 39.2
## [2269] 35.1 26.1 30.1 28.7 28.5 29.1 26.7 27.2 30.1 29.6 30.5 29.8 27.7 26.8
## [2283] 34.5 34.8 26.7 38.5 27.9 36.5 32.6 26.2 28.3 29.7 28.3 28.1 32.0 33.8
## [2297] 26.6 28.4 31.6 29.6 41.2 51.1 31.6 26.2 30.3 28.7 27.6 31.3 30.6 27.2
## [2311] 34.8 37.6 41.0 30.5 26.5 28.1 28.0 26.6 31.2 29.6 26.3 32.8 27.5 31.6
## [2325] 26.0 57.0 29.0 34.2 50.3 26.1 26.8 27.9 28.3 36.3 27.8 28.4 26.5 27.0
## [2339] 26.2 28.8 28.7 26.1 37.4 27.3 35.5 29.1 26.6 34.0 26.6 27.8 29.8 30.2
## [2353] 51.0 31.0 26.9 36.7 26.9 29.0 48.5 27.8 42.3 52.2 33.7 40.9 26.6 31.6
## [2367] 28.1 28.8 32.5 29.0 26.6 26.3 30.0 31.3 29.6 26.1 43.5 29.1 25.9 27.5
## [2381] 26.3 27.5 31.4 31.2 32.3 26.0 36.3 30.0 30.6 28.2 25.9 30.0 26.5 35.8
## [2395] 27.3 42.3 31.5 26.6 31.3 27.1 26.0 34.2 27.3 49.0 26.0 49.5 25.9 34.4
## [2409] 33.3 27.8 34.3 31.8 36.7 26.8 35.6 44.7 33.6 36.2 27.8 25.8 28.1 51.9
## [2423] 31.3 31.7 27.4 28.5 26.9 28.0 34.3 25.9 29.8 27.1 25.9 33.0 26.8 28.8
## [2437] 35.8 27.9 33.3 30.0 31.0 35.6 29.8 33.0 31.6 31.7 36.3 33.9 27.0 27.0
## [2451] 26.0 26.6 30.9 29.1 49.6 34.2 26.6 27.8 29.5 33.1 27.3 27.9 26.6 27.2
## [2465] 26.8 30.1 50.6 69.0 29.9 28.4 30.8 56.6 28.8 32.7 25.9 27.5 26.8 33.6
## [2479] 27.3 30.5 28.1 26.6 36.5 30.7 34.8 27.8 41.2 27.7 29.6 26.2 30.5 27.2
## [2493] 29.0 32.2 30.0 35.4 65.7 29.5 26.2 34.7 34.4 26.3 27.1 35.4 28.6 27.8
## [2507] 26.9 29.3 26.2 33.4 30.6 27.7 26.8 27.8 27.2 40.9 26.4 26.1 26.0 35.0
## [2521] 29.6 29.1 29.3 31.2 35.2 27.8 31.6 29.7 26.2 26.1 26.2 54.0 27.5 30.0
## [2535] 32.1 26.7 26.3 26.8 32.2 28.9 33.4 36.6 27.8 25.8 39.7 32.1 55.6 26.3
## [2549] 40.3 43.0 40.4 40.0 36.3 30.0 32.9 31.3 28.2 29.2 32.9 29.4 26.8 27.2
## [2563] 26.8 27.1 32.9 26.5 27.2 27.2 41.3 27.3 26.6 35.2 34.9 27.3 33.3 27.5
## [2577] 29.7 28.6 30.0 32.5 26.1 28.9 30.9 26.4 25.8 28.8 33.0 26.6 37.1 30.7
## [2591] 31.7 58.5 36.9 34.8 36.1 26.8 27.3 30.4 31.9 35.9 27.8 55.6 33.6 26.1
## [2605] 33.4 32.2 29.5 33.5 33.5 28.3 29.2 27.7 33.2 31.1 27.9 26.8 26.3 28.7
## [2619] 28.6 26.5 25.8 30.0 37.9 31.0 27.8 29.9 34.2
print(df_3_anomalies_wind_speed)
## [1] 26.0 27.8 29.3 26.8 32.9 25.9 49.7 29.7 31.0 28.4 27.2 31.7 32.8 36.2
## [15] 26.1 28.2 28.7 27.7 51.1 27.9 26.9 44.0 29.9 29.3 26.7 25.6 30.7 30.2
## [29] 37.3 29.9 36.4 26.9 42.3 31.7 35.5 28.6 39.3 33.0 26.8 26.9 27.3 27.2
## [43] 26.2 31.4 28.1 33.1 33.7 27.6 38.0 26.5 26.6 34.9 36.3 26.5 32.5 28.0
## [57] 29.4 27.2 26.1 50.6 30.7 27.5 27.8 26.2 28.8 29.4 31.2 29.1 29.1 34.4
## [71] 31.0 33.0 27.5 29.5 25.9 29.8 31.0 36.5 32.9 31.3 26.5 27.4 26.9 30.5
## [85] 33.3 32.5 46.1 27.3 26.1 29.3 25.9 27.0 30.7 25.8 27.7 32.1 38.4 28.8
## [99] 33.9 26.8 33.9 39.7 26.9 27.6 36.2 30.5 34.4 26.9 29.7 26.2 28.9 47.7
## [113] 26.3 27.1 27.5 29.8 27.5 29.7 25.7 30.5 25.9 29.9 27.9 47.7 26.8 28.4
## [127] 26.1 29.1 27.1 42.3 42.4 44.3 26.9 30.9 34.2 27.8 27.7 28.7 34.2 29.8
## [141] 27.0 26.8 29.0 31.3 26.8 28.4 27.9 27.1 30.6 27.2 29.1 31.6 34.6 32.7
## [155] 32.0 25.9 28.9 40.3 25.9 27.5 27.4 29.9 43.0 50.6 29.1 34.8 29.0 27.5
## [169] 41.2 33.7 26.9 33.0 35.2 31.6 28.5 26.8 26.2 28.1 25.7 31.0 40.4 30.7
## [183] 26.4 29.7 35.8 26.0 29.1 28.4 32.1 28.1 27.2 29.4 26.2 32.8 32.5 26.9
## [197] 28.0 38.3 34.8 31.2 36.7 29.0 29.1 33.3 28.3 43.8 45.4 29.6 36.3 30.6
## [211] 29.9 29.9 28.5 25.7 28.8 29.9 28.5 25.9 29.9 26.9 28.4 27.2 28.4 54.8
## [225] 25.7 45.3 40.2 31.7 27.8 35.5 31.4 34.8 27.3 28.7 29.9 26.0 30.6 28.8
## [239] 34.9 33.5 28.1 40.1 29.7 33.0 28.4 38.5 30.3 27.7 27.7 25.9 32.7 33.6
## [253] 34.9 41.2 29.3 33.5 26.6 43.9 29.3 27.3 29.8 26.0 26.6 25.6 27.8 35.6
## [267] 29.7 28.2 28.3 26.8 26.8 31.9 25.7 29.1 39.4 34.0 33.0 35.8 29.4 39.6
## [281] 39.6 29.9 34.7 26.7 27.9 26.2 29.3 27.6 32.4 54.2 26.0 35.0 32.4 27.3
## [295] 30.8 52.3 36.2 29.8 30.3 25.9 27.6 30.1 41.3 26.2 25.7 38.2 29.1 27.2
## [309] 31.0 27.9 26.5 28.2 25.6 32.6 32.1 27.6 44.5 34.7 26.0 36.1 26.4 25.9
## [323] 29.9 26.8 28.9 27.4 29.3 29.0 30.9 28.6 27.5 30.8 42.3 29.4 29.2 25.9
## [337] 28.6 35.5 31.0 26.5 30.0 28.5 29.8 30.6 27.8 27.8 39.6 32.9 27.3 35.4
## [351] 43.9 30.7 31.0 31.3 29.7 30.1 30.2 34.5 31.4 33.3 27.5 33.3 40.4 27.5
## [365] 35.3 28.6 31.3 26.6 29.6 35.0 39.6 64.4 25.8 38.5 28.5 33.5 28.9 26.6
## [379] 31.3 30.3 29.6 27.0 35.2 30.4 32.8 28.3 26.5 43.0 31.9 29.0 52.3 37.2
## [393] 32.9 27.6 27.8 26.2 37.3 52.3 29.8 27.1 30.1 42.4 30.1 31.4 27.5 38.8
## [407] 30.0 30.1 32.5 26.4 30.4 30.5 26.1 26.0 25.6 35.1 26.4 30.4 49.0 54.1
## [421] 58.5 26.3 34.5 27.2 33.0 35.6 33.4 25.9 26.8 41.3 29.0 28.6 27.2 31.5
## [435] 42.3 29.3 34.8 33.3 26.0 28.0 26.4 25.7 37.1 27.6 27.6 28.7 27.9 27.1
## [449] 51.0 30.0 34.5 26.5 28.4 30.0 28.8 29.5 30.1 31.3 30.6 26.5 28.4 54.1
## [463] 42.6 26.5 43.9 29.4 31.0 37.0 28.4 25.7 27.8 30.0 37.4 35.5 27.3 31.2
## [477] 28.3 26.8 27.8 51.7 25.9 27.1 30.5 38.5 26.5 27.9 34.7 32.0 29.6 35.0
## [491] 29.6 34.2 28.8 25.7 26.8 27.4 28.0 27.9 26.8 27.2 31.7 39.6 31.1 31.7
## [505] 32.3 43.9 27.8 36.4 28.1 26.0 29.1 28.7 26.8 27.3 30.0 38.9 27.7 27.8
## [519] 31.0 25.9 29.0 27.0 31.3 26.4 49.7 30.2 26.2 58.3 31.4 26.2 26.6 43.1
## [533] 27.6 27.1 33.2 37.2 28.8 26.8 30.0 26.0 27.3 25.6 48.3 27.8 29.5 25.6
## [547] 28.1 26.5 26.0 27.8 26.6 28.1 33.0 28.5 32.1 29.5 55.8 37.7 25.7 29.5
## [561] 27.5 27.1 38.4 27.3 27.5 26.6 29.9 27.1 31.3 32.4 30.1 36.3 65.0 28.8
## [575] 33.3 30.9 30.3 35.0 31.6 26.5 30.7 26.3 27.7 32.2 28.4 26.7 27.7 35.9
## [589] 27.8 26.7 33.3 40.1 29.7 26.8 42.9 29.5 29.1 29.7 26.6 40.9 26.5 26.8
## [603] 25.6 25.6 30.2 26.8 31.5 28.8 28.8 28.4 26.7 39.6 30.0 29.7 35.0 26.6
## [617] 31.6 26.2 28.4 26.5 33.9 27.5 35.8 27.7 28.3 28.4 49.3 25.8 28.2 36.2
## [631] 29.8 27.5 31.3 27.2 28.2 34.9 41.2 40.3 27.6 32.1 35.8 29.4 26.8 27.1
## [645] 27.0 29.7 36.6 50.5 26.8 29.0 29.0 26.9 43.0 33.9 29.8 30.4 25.9 27.5
## [659] 26.6 33.4 26.8 31.5 33.8 34.0 28.1 26.0 25.7 32.0 26.8 26.8 34.8 26.5
## [673] 27.4 28.0 44.3 26.2 25.9 34.2 28.2 32.2 28.6 29.1 37.1 30.1 27.8 26.8
## [687] 26.5 41.2 29.1 52.3 30.7 30.0 39.6 26.6 29.7 30.3 26.4 33.5 30.3 32.4
## [701] 34.5 34.0 31.0 31.2 50.8 32.5 31.0 34.5 29.0 39.7 31.3 32.6 26.7 32.2
## [715] 31.6 37.2 34.2 34.2 39.7 37.1 38.3 26.2 33.0 27.6 26.7 27.0 26.9 33.2
## [729] 26.7 27.8 27.6 27.5 31.4 31.3 30.7 27.8 27.0 29.1 27.3 31.0 29.4 26.9
## [743] 26.6 47.7 27.1 38.9 27.3 26.9 26.2 27.6 27.9 32.1 31.6 25.9 39.0 32.3
## [757] 26.8 27.0 26.0 32.3 30.6 29.1 34.2 33.6 31.0 26.6 25.6 32.8 32.4 36.7
## [771] 33.0 40.4 29.0 28.6 31.9 34.1 29.4 26.2 28.4 26.5 29.2 37.6 27.1 32.1
## [785] 26.1 26.7 37.3 33.7 29.7 28.9 26.8 26.5 29.9 28.2 28.0 36.7 26.5 27.2
## [799] 27.0 29.4 35.0 34.7 30.4 33.9 33.6 26.5 27.5 32.3 26.2 31.6 27.6 25.9
## [813] 35.2 33.3 29.0 40.0 40.9 27.2 31.7 30.6 31.1 34.2 41.2 30.2 31.0 48.1
## [827] 27.1 31.1 34.9 30.1 33.5 26.2 26.4 37.4 28.7 29.3 35.3 25.8 28.4 50.6
## [841] 36.6 48.4 26.9 26.6 26.8 29.3 35.1 26.7 29.5 29.7 29.5 33.8 27.2 32.9
## [855] 25.6 32.9 27.2 26.3 28.0 33.9 32.9 32.2 28.2 29.4 32.3 26.6 28.5 38.8
## [869] 31.7 25.6 62.5 30.4 30.3 28.4 42.3 30.9 27.5 28.4 31.1 41.9 29.9 26.2
## [883] 32.1 29.9 26.8 29.8 25.8 27.3 27.2 28.8 37.3 29.2 34.4 26.0 29.1 34.5
## [897] 34.4 27.6 31.0 31.3 27.3 47.9 41.1 28.6 35.5 26.8 32.3 35.2 35.6 27.2
## [911] 30.4 32.1 31.6 32.7 31.6 28.7 27.8 28.2 34.5 26.5 30.0 27.2 33.7 26.5
## [925] 35.0 34.2 28.8 26.3 29.7 27.2 35.5 27.6 29.1 26.5 30.8 28.9 29.0 27.7
## [939] 27.8 36.3 26.8 25.6 31.4 28.0 28.3 25.6 49.5 31.8 31.2 31.2 26.7 49.2
## [953] 25.8 36.9 35.2 32.8 32.3 30.0 31.6 27.8 34.5 31.7 33.9 50.6 28.2 25.9
## [967] 27.3 26.5 28.8 27.3 26.8 26.2 34.7 26.8 26.4 33.3 41.7 34.9 28.8 30.6
## [981] 28.7 31.2 32.5 25.7 27.5 32.2 33.3 44.5 37.5 26.3 29.3 26.7 30.6 53.5
## [995] 31.8 30.0 26.8 38.4 25.9 29.0 30.7 31.7 28.0 27.5 26.5 41.9 28.4 28.1
## [1009] 30.7 39.0 26.2 26.2 33.9 28.6 29.7 26.3 29.8 29.0 25.6 25.9 27.3 36.2
## [1023] 33.7 25.9 33.2 29.3 30.0 28.5 26.2 32.9 26.4 39.3 25.9 27.8 67.7 26.2
## [1037] 33.6 40.2 26.6 32.0 30.4 32.8 32.5 26.6 26.6 37.5 31.1 26.2 28.9 28.5
## [1051] 49.8 30.9 26.6 29.2 28.7 25.7 32.9 32.4 35.2 40.9 30.6 25.7 28.4 33.3
## [1065] 31.4 27.3 33.0 26.8 33.0 32.3 67.7 31.8 29.1 42.4 30.5 27.4 38.4 32.5
## [1079] 31.3 27.8 30.0 31.9 26.7 31.5 26.4 29.1 30.5 30.2 27.5 26.5 42.7 26.7
## [1093] 31.6 26.6 31.2 25.7 42.9 31.8 26.6 26.2 27.7 28.9 57.6 51.0 26.8 26.9
## [1107] 38.8 42.6 27.1 29.4 28.7 25.7 27.9 40.4 26.8 27.8 32.1 33.8 31.5 31.9
## [1121] 26.6 26.4 27.2 27.2 29.7 32.2 33.0 35.1 26.9 31.3 27.2 57.6 35.3 30.9
## [1135] 37.6 25.9 34.7 27.8 26.6 33.5 38.4 31.4 44.8 27.9 30.2 26.6 26.2 30.4
## [1149] 25.8 30.0 25.6 32.7 33.6 32.1 31.3 26.1 32.3 34.1 26.4 27.9 28.7 36.5
## [1163] 44.6 28.4 32.8 52.2 28.7 34.2 36.3 31.9 28.6 29.8 30.0 30.2 27.0 29.1
## [1177] 30.3 26.6 28.7 40.4 29.0 25.6 33.8 31.3 28.0 31.8 38.2 27.7 36.3 26.0
## [1191] 29.8 25.7 35.5 27.9 26.5 26.5 39.8 25.6 26.5 29.0 39.3 29.3 34.2 34.5
## [1205] 26.8 33.9 27.9 26.0 25.9 30.7 35.1 27.5 27.2 39.0 25.6 31.7 28.0 26.9
## [1219] 47.1 32.3 32.6 28.2 25.9 30.4 35.6 37.4 29.8 32.1 25.6 35.2 34.2 28.1
## [1233] 35.6 28.6 26.7 27.1 33.7 30.6 27.2 41.3 26.6 53.5 28.1 26.5 27.1 28.2
## [1247] 25.9 26.1 30.1 25.6 25.6 36.7 28.8 34.0 28.9 26.6 27.8 27.5 34.3 28.0
## [1261] 36.6 38.4 28.2 27.5 33.0 26.2 44.2 29.3 29.6 26.5 29.0 44.0 29.4 30.6
## [1275] 38.1 32.1 26.6 30.0 34.9 25.9 29.5 27.7 29.9 33.4 40.3 25.9 29.3 27.2
## [1289] 30.5 27.0 32.4 28.6 28.1 28.4 30.4 27.7 32.9 26.6 26.2 29.5 32.4 28.2
## [1303] 26.8 41.0 35.7 25.8 27.5 25.6 31.2 28.1 28.6 33.2 29.3 28.9 33.4 26.2
## [1317] 28.3 26.2 32.0 25.7 33.3 30.1 38.1 31.8 26.5 27.1 26.6 28.1 42.7 30.5
## [1331] 28.7 33.9 31.3 48.6 27.5 27.2 25.9 32.9 30.7 29.1 25.8 30.4 31.0 45.0
## [1345] 31.0 31.5 37.8 33.4 32.6 26.8 27.2 31.8 27.8 29.4 31.3 32.4 30.3 36.1
## [1359] 26.7 29.4 25.9 36.3 29.5 26.4 36.2 36.9 33.6 25.6 30.4 34.9 25.9 31.1
## [1373] 26.7 26.5 32.9 30.6 30.3 27.4 41.2 30.6 54.8 27.9 27.8 27.2 38.3 33.1
## [1387] 26.2 27.9 32.7 65.0 28.9 40.0 31.7 27.0 29.7 30.7 28.2 30.9 31.0 27.5
## [1401] 26.7 26.1 28.8 31.8 33.5 27.9 26.6 49.5 34.9 40.0 25.9 42.9 28.2 38.4
## [1415] 33.3 29.1 32.9 29.4 26.8 34.4 26.9 52.1 25.9 46.1 25.8 26.3 32.5 26.3
## [1429] 31.8 34.9 26.2 31.2 29.0 27.2 28.2 30.2 26.2 33.0 55.6 36.7 32.2 26.7
## [1443] 36.5 33.1 30.2 26.3 33.3 32.4 31.5 26.0 29.2 25.9 27.1 27.1 26.2 26.8
## [1457] 28.7 26.0 26.6 28.9 40.9 26.8 26.3 31.2 26.9 31.1 26.4 27.8 25.8 29.7
## [1471] 29.5 33.0 26.7 33.8 29.4 25.7 30.2 41.4 26.8 36.9 29.3 30.9 26.6 31.1
## [1485] 28.6 29.1 32.7 25.9 28.6 31.7 28.1 29.4 36.5 29.4 30.3 25.6 36.3 30.7
## [1499] 29.0 30.3 37.5 27.8 26.2 30.6 39.4 37.2 28.7 26.9 30.2 25.7 30.3 34.8
## [1513] 27.8 50.5 26.6 50.6 25.6 30.6 26.6 25.7 25.9 30.3 27.8 27.3 26.1 35.5
## [1527] 32.4 25.7 40.5 27.6 27.4 29.8 29.2 33.3 27.7 37.8 33.1 40.6 28.4 26.0
## [1541] 26.8 29.1 29.5 29.8 31.5 33.3 43.4 34.0 41.3 34.5 30.0 25.9 29.3 33.9
## [1555] 27.8 39.4 34.2 29.6 26.3 29.7 43.8 48.3 28.2 25.9 29.6 28.1 28.3 27.8
## [1569] 31.1 33.7 29.1 26.9 35.5 28.2 25.6 25.9 28.1 27.2 25.9 43.1 28.5 33.2
## [1583] 30.9 26.1 29.1 27.2 29.0 35.1 36.9 31.0 50.8 27.3 25.6 37.6 36.6 26.7
## [1597] 35.8 26.2 33.0 30.1 41.9 27.0 41.7 41.2 39.6 31.6 36.2 27.9 38.7 35.0
## [1611] 33.3 38.6 40.0 27.5 41.4 34.4 32.1 28.8 26.3 32.0 25.6 41.2 27.8 26.6
## [1625] 26.2 26.6 28.0 27.5 27.2 26.5 29.0 26.0 37.2 46.1 30.0 26.8 30.0 27.6
## [1639] 26.2 28.2 31.2 43.0 37.1 29.4 30.0 28.8 26.8 27.5 29.5 27.0 25.9 32.5
## [1653] 36.9 26.1 27.2 31.1 33.3 25.6 25.8 31.2 28.6 50.6 30.0 32.9 32.9 29.3
## [1667] 25.7 28.8 35.2 29.2 31.3 30.8 25.9 25.7 36.8 47.5 30.0 27.2 27.6 51.0
## [1681] 33.1 37.5 34.4 26.0 29.2 27.3 26.2 41.4 25.9 29.1 46.7 30.7 36.4 28.7
## [1695] 29.6 26.9 27.0 31.4 30.4 29.8 26.5 26.2 30.6 28.4 26.2 29.0 27.8 51.0
## [1709] 36.8 28.5 43.8 26.8 29.0 32.8 29.7 30.4 32.7 35.1 26.0 33.0 28.4 31.4
## [1723] 28.4 28.5 25.9 28.8 28.7 27.0 31.5 31.1 30.5 29.8 35.2 26.5 27.5 26.8
## [1737] 36.5 35.9 26.3 26.5 29.1 31.7 28.8 26.5 42.9 25.9 31.3 27.3 41.2 27.5
## [1751] 29.8 37.1 31.2 25.6 31.5 25.9 27.8 34.2 27.2 29.6 28.4 26.8 36.2 35.4
## [1765] 37.3 44.0 29.4 36.7 27.5 45.9 29.6 26.2 26.7 25.9 36.1 39.6 26.1 34.9
## [1779] 29.4 26.5 30.6 30.0 26.8 25.9 28.6 29.6 39.6 33.5 29.4 30.0 32.2 25.8
## [1793] 27.2 32.3 28.7 27.2 33.0 28.8 33.8 26.1 30.0 34.5 32.1 39.7 38.5 36.7
## [1807] 26.8 33.2 28.1 29.2 33.5 26.2 26.0 51.7 25.6 29.0 37.5 27.1 33.1 37.8
## [1821] 28.5 29.0 40.9 34.4 31.3 32.9 33.2 39.6 26.0 25.6 29.7 26.6 26.2 26.6
## [1835] 26.2 31.4 33.6 33.6 34.5 34.4 52.2 31.7 30.2 27.2 29.3 34.2 25.9 26.0
## [1849] 35.2 30.4 28.9 26.6 27.8 57.3 31.0 31.2 49.5 25.8 30.3 26.9 31.5 31.4
## [1863] 30.0 34.0 33.0 29.4 26.6 25.9 28.4 28.4 52.3 34.9 29.7 27.2 25.9 28.8
## [1877] 29.7 36.5 36.5 28.0 27.1 31.1 34.5 31.9 43.0 27.8 27.8 41.7 30.9 40.1
## [1891] 26.9 33.6 25.6 34.9 28.7 29.4 26.5 28.4 25.6 31.1 29.7 29.0 30.2 42.4
## [1905] 29.7 32.9 27.2 26.3 31.2 26.3 39.6 27.8 27.8 26.0 26.5 47.8 33.3 27.4
## [1919] 30.4 31.4 32.3 25.7 28.4 26.2 26.3 34.3 33.7 44.3 31.1 25.8 35.8 35.1
## [1933] 30.4 26.1 52.1 31.9 35.2 41.4 33.7 30.0 26.5 44.2 34.2 31.9 26.8 36.2
## [1947] 26.8 27.3 27.3 25.9 30.6 30.0 29.0 27.2 28.0 28.4 27.8 29.3 35.1 32.1
## [1961] 30.9 42.4 34.7 28.7 32.0 30.0 41.3 27.8 26.5 37.5 66.0 27.8 26.2 27.9
## [1975] 26.1 31.1 28.8 26.2 29.4 31.0 34.2 25.8 42.9 32.2 29.7 25.8 29.0 30.8
## [1989] 28.4 33.5 31.0 35.5 28.4 59.0 28.4 33.8 26.6 41.0 26.7 26.2 31.7 30.9
## [2003] 25.6 29.0 32.3 35.2 26.6 30.5 38.1 27.6 26.6 25.9 26.6 35.4 29.1 65.7
## [2017] 29.4 27.9 30.6 60.7 26.8 33.8 29.0 38.4 27.8 25.6 65.7 33.0 31.6 30.0
## [2031] 28.5 25.6 41.3 28.2 26.8 25.7 27.1 29.4 27.8 25.9 32.3 26.8 26.0 28.9
## [2045] 31.3 27.3 32.0 27.9 30.1 33.0 27.2 26.7 25.7 26.7 25.9 35.9 29.7 29.3
## [2059] 25.9 37.2 29.7 27.1 31.1 26.8 29.9 37.1 40.1 29.9 28.2 31.2 25.6 26.9
## [2073] 30.0 27.5 26.8 26.7 27.2 32.5 40.4 26.1 32.7 33.6 25.7 31.0 26.2 25.8
## [2087] 32.0 26.4 35.5 26.3 39.0 27.8 40.9 26.0 32.2 37.6 27.9 26.5 30.4 34.9
## [2101] 27.2 28.3 38.8 28.7 38.0 25.8 25.9 27.2 31.7 25.7 31.5 25.6 39.6 27.1
## [2115] 26.9 33.9 26.7 35.7 32.5 30.3 41.7 27.3 27.0 26.0 27.5 31.3 26.6 35.2
## [2129] 32.1 31.4 31.2 34.4 32.6 42.9 28.2 27.8 64.9 29.4 28.8 38.9 31.0 32.7
## [2143] 26.5 29.0 27.8 26.9 25.9 26.5 32.0 38.1 30.1 28.4 29.5 32.2 31.6 35.8
## [2157] 29.0 26.0 34.6 27.9 33.4 27.8 26.2 34.8 31.9 28.7 39.6 26.2 26.8 26.9
## [2171] 25.8 26.2 26.7 33.2 37.7 25.9 27.2 35.8 31.2 27.2 30.8 36.9 27.1 43.9
## [2185] 42.4 26.5 39.0 29.0 34.7 43.8 25.9 33.6 26.6 32.2 26.4 29.9 32.0 25.9
## [2199] 31.3 29.2 26.2 28.7 28.1 42.9 26.5 29.6 26.8 31.8 26.8 41.2 31.9 25.7
## [2213] 28.4 36.4 31.9 31.0 31.7 25.9 34.4 33.7 26.7 25.9 29.9 36.3 34.0 37.6
## [2227] 38.8 30.3 38.6 29.4 29.5 32.3 32.1 31.3 26.0 27.6 28.9 25.9 33.4 43.7
## [2241] 31.7 27.2 30.2 29.6 32.1 28.2 33.2 35.8 29.7 26.2 28.1 31.4 29.5 28.2
## [2255] 26.6 31.1 26.2 29.1 28.1 26.8 26.1 29.4 33.2 26.7 33.6 33.7 27.3 25.7
## [2269] 26.6 35.1 27.8 30.5 41.2 29.3 30.9 35.5 26.4 25.8 27.3 30.6 31.8 27.6
## [2283] 25.7 25.6 30.7 28.2 27.3 28.8 40.5 30.7 30.4 28.8 29.6 29.4 27.2 32.0
## [2297] 30.1 45.4 29.8 30.0 30.1 25.8 41.2 28.3 26.0 27.5 33.3 29.1 30.3 25.9
## [2311] 26.9 40.5 30.8 28.8 36.2 29.1 27.1 39.8 29.4 29.3 40.7 25.8 30.6 25.9
## [2325] 51.9 28.7 25.9 27.3 31.0 28.0 29.1 38.5 29.4 25.7 36.2 26.7 27.2 26.1
## [2339] 25.8 28.9 27.2 27.2 33.8 32.8 29.8 34.5 29.9 29.9 27.2 30.4 28.8 54.1
## [2353] 32.2 27.2 32.2 26.3 26.8 27.7 30.2 25.9 27.1 28.5 29.4 26.5 31.3 46.3
## [2367] 27.6 35.0 35.2 39.0 27.1 25.6 29.0 27.2 26.0 28.5 30.7 27.2 26.6 27.8
## [2381] 30.1 28.4 40.1 26.8 26.6 26.8 31.5 29.6 29.9 35.4 27.0 26.5 33.0 27.0
## [2395] 26.1 28.6 25.7 36.1 30.8 30.8 36.3 34.7 26.2 26.9 27.9 30.5 32.6 44.2
## [2409] 27.2 31.4 27.7 27.9 32.8 31.4 26.6 27.3 27.5 34.7 30.3 34.5 25.6 30.4
## [2423] 33.7 33.3 40.4 26.1 50.9 28.8 28.1 51.7 26.2 28.4 27.5 36.9 37.6 33.8
## [2437] 28.4 25.9 27.0 26.4 55.8 27.8 25.7 27.3 44.5 35.2 38.6 26.6 35.0 34.3
## [2451] 26.2 29.3 27.4 28.9 33.9 27.9 25.6 26.6 34.6 29.1 35.2 26.6 27.5 40.9
## [2465] 56.3 31.7 26.0 40.0 29.9 33.8 26.2 28.3 27.6 36.3 26.9 26.6 26.5 35.5
## [2479] 28.6 53.7 32.2 28.5 28.4 40.9 31.4 31.9 53.5 27.7 25.7 27.1 34.7 32.8
## [2493] 26.2 27.8 28.7 27.8 44.6 29.4 26.8 26.3 26.8 51.2 26.8 27.3 25.7 28.8
## [2507] 26.0 44.5 38.3 26.2 29.0 32.9 39.0 28.1 30.8 29.0 28.4 36.3 26.6 30.7
## [2521] 36.3 26.8 27.0 26.6 26.0 33.8 26.0 33.1 25.9 30.7 27.2 25.9 28.0 37.4
## [2535] 40.4 40.3 36.2 42.4 31.3 27.1 39.6 27.0 41.2 28.5 36.7 27.1 25.9 51.2
## [2549] 25.9 31.8 35.5 26.9 28.5 29.5 28.4 27.8 35.3 38.0 37.0 25.7 31.9 28.1
## [2563] 25.6 31.5 27.8 28.1 26.9 27.8 35.5 27.2 26.2 27.1 26.5 25.9 27.8 31.0
## [2577] 51.2 29.4 31.4 30.6 63.4 32.3 26.2 28.8 31.1 31.8 35.5 25.7 33.9 26.9
## [2591] 30.4 40.4 26.0 46.7 26.6 26.6 34.7 32.5 27.0 30.9 28.9 34.3 25.7 30.0
## [2605] 27.9 33.0 33.3 32.3 28.1 29.1 36.9 31.3 31.9 26.5 32.0 29.9 26.8 28.4
## [2619] 33.8 28.2 38.7 30.9 38.9 29.3 27.9 26.7 32.5 27.0 26.5 29.7 37.1 28.2
## [2633] 30.0 27.8 26.5 31.0 27.8 28.1 28.6 29.5 28.3 45.7 32.1 31.4 25.7
print(df_4_anomalies_wind_speed)
## [1] 35.1 27.5 28.1 25.7 26.3 30.7 31.0 25.9 25.8 25.6 30.0 31.7 26.8 58.3
## [15] 25.7 27.6 26.8 33.0 28.4 30.2 26.0 27.6 26.9 41.2 28.3 28.1 26.8 32.2
## [29] 27.9 30.4 26.7 40.4 30.7 27.8 25.8 25.7 28.1 27.3 26.5 31.0 36.7 26.1
## [43] 28.4 32.8 30.6 32.5 32.5 26.5 28.0 32.9 34.5 33.9 45.0 27.1 27.6 27.3
## [57] 27.4 31.5 29.5 28.4 26.3 30.5 26.8 26.2 38.8 33.0 28.8 28.2 29.1 41.2
## [71] 29.4 26.5 52.1 26.3 28.0 26.7 26.2 30.4 25.6 26.6 29.4 33.3 27.5 32.1
## [85] 27.3 28.8 28.2 39.7 32.7 30.1 33.3 28.1 36.6 32.2 40.4 30.7 27.6 29.1
## [99] 28.7 41.2 34.3 28.1 34.8 32.9 26.1 27.3 29.3 32.2 26.5 31.9 25.6 28.8
## [113] 42.7 26.7 25.6 41.6 31.2 30.2 27.2 26.2 31.0 26.8 25.9 25.9 27.5 28.0
## [127] 31.4 27.1 32.0 27.5 30.2 27.5 31.0 35.0 26.6 28.8 43.0 29.2 41.4 26.6
## [141] 34.5 25.8 30.6 27.5 28.1 26.2 32.7 42.3 34.2 31.2 44.5 27.5 30.6 25.7
## [155] 35.0 27.7 26.4 27.7 25.9 29.4 30.6 31.0 27.4 25.6 33.5 25.9 26.4 30.3
## [169] 30.1 27.7 28.5 31.5 26.5 31.2 31.4 27.0 30.0 38.9 28.4 31.5 27.6 33.6
## [183] 30.0 43.0 26.0 26.3 27.5 28.4 28.5 27.7 28.9 35.1 28.7 54.8 28.2 36.6
## [197] 50.8 34.9 26.2 26.2 28.1 30.9 41.2 27.1 25.7 30.1 26.5 33.3 27.1 33.9
## [211] 26.3 37.1 29.5 28.9 25.8 28.8 27.9 36.8 35.0 36.5 26.8 29.4 30.0 31.4
## [225] 30.3 27.8 33.7 32.9 25.9 26.8 26.8 26.0 27.8 29.4 38.5 29.5 25.6 27.8
## [239] 29.4 50.4 34.3 27.9 27.3 26.8 29.1 25.7 30.7 28.1 42.4 29.7 38.3 26.7
## [253] 30.7 28.8 28.8 29.0 34.7 26.3 42.9 41.4 26.6 32.0 26.6 26.4 27.7 29.5
## [267] 27.2 27.8 30.1 27.8 26.4 39.6 27.5 26.6 49.8 32.2 34.5 27.5 34.4 27.0
## [281] 28.7 34.5 34.5 33.1 30.9 32.2 32.0 29.7 27.6 25.6 30.4 29.1 26.1 30.1
## [295] 40.9 26.0 33.7 43.2 27.5 26.6 26.4 26.0 27.7 29.4 41.1 52.3 32.9 29.4
## [309] 29.4 27.6 26.5 27.8 25.6 33.5 28.2 29.5 29.3 27.8 27.2 33.7 46.3 27.8
## [323] 30.6 29.5 25.9 26.5 25.7 26.6 31.7 28.4 25.9 36.3 32.3 48.8 29.0 29.4
## [337] 27.7 36.4 40.4 41.2 30.8 33.0 49.8 28.7 30.6 33.4 27.8 28.0 31.0 38.4
## [351] 28.7 26.7 30.1 28.4 32.5 31.8 28.2 31.1 33.7 31.0 48.4 33.7 31.6 26.3
## [365] 26.9 50.5 38.5 29.0 27.2 29.0 26.1 31.0 25.8 53.4 26.1 32.1 36.2 33.2
## [379] 36.6 25.9 30.7 27.6 33.0 26.8 26.8 26.7 25.9 27.5 28.4 34.0 31.6 30.6
## [393] 35.2 27.2 39.4 30.5 37.4 31.6 27.6 28.2 30.7 40.4 26.5 40.3 38.7 57.6
## [407] 30.0 27.2 44.5 48.3 26.3 26.0 26.7 30.1 29.7 27.8 30.0 30.0 27.3 31.9
## [421] 26.7 27.0 26.9 31.9 40.9 28.8 35.0 26.5 32.6 26.4 29.8 27.6 36.3 30.3
## [435] 27.0 34.3 32.3 29.4 32.0 34.7 28.0 27.5 32.0 30.4 30.7 38.3 30.2 26.0
## [449] 30.0 29.4 26.2 26.2 25.8 29.9 30.7 26.2 27.9 40.0 28.4 26.6 27.3 34.9
## [463] 26.8 55.8 27.8 31.2 26.6 30.3 34.3 30.9 33.3 28.5 34.2 30.6 35.5 29.6
## [477] 29.8 31.8 27.9 28.1 52.3 28.8 33.3 27.5 32.1 34.0 29.0 31.5 34.6 26.6
## [491] 39.2 28.9 27.1 27.8 41.9 36.3 28.5 28.6 25.7 28.4 26.9 32.7 26.4 37.1
## [505] 28.8 42.9 31.0 29.8 31.3 26.0 42.4 30.9 28.2 25.7 33.1 30.9 31.8 25.7
## [519] 30.2 39.6 33.5 34.9 28.6 28.4 35.8 27.1 41.2 27.1 32.9 30.2 26.2 28.4
## [533] 26.5 30.9 26.4 27.8 29.7 28.1 25.9 25.7 27.9 27.3 26.7 29.2 25.8 38.8
## [547] 30.4 40.9 32.8 26.5 26.8 33.1 29.9 33.0 30.7 33.9 26.8 25.7 34.4 29.1
## [561] 30.1 26.3 27.4 26.8 26.8 34.2 29.7 25.9 32.9 30.9 26.5 26.8 26.2 37.5
## [575] 27.5 27.3 26.6 37.5 26.2 30.3 31.0 34.7 26.6 38.6 38.1 27.0 27.0 25.8
## [589] 41.8 43.5 46.5 26.7 29.9 25.9 40.1 25.9 27.7 36.5 37.6 25.6 27.3 29.2
## [603] 26.4 25.9 35.5 30.0 26.2 43.9 27.1 31.3 32.0 26.8 40.3 40.1 30.0 28.1
## [617] 33.5 41.2 26.4 26.9 28.4 31.7 37.0 30.0 32.0 36.1 26.5 29.9 27.7 34.9
## [631] 29.4 29.7 26.4 32.9 30.0 25.8 28.1 27.8 25.9 49.0 30.9 26.2 31.8 45.3
## [645] 41.2 45.4 40.1 26.4 25.8 26.5 28.2 39.2 25.8 25.7 38.8 33.2 29.5 43.3
## [659] 25.9 40.1 28.8 32.2 26.0 37.6 27.7 26.8 26.7 26.9 34.1 26.8 31.0 29.7
## [673] 30.4 33.8 25.9 36.0 25.8 26.9 25.9 28.0 32.0 26.2 29.6 30.4 29.0 33.6
## [687] 26.2 36.4 28.1 29.6 26.4 28.4 26.1 27.3 29.7 30.6 33.3 35.7 29.1 27.2
## [701] 28.7 26.8 26.6 25.9 40.5 36.5 30.0 29.7 36.9 28.8 26.2 27.1 28.4 27.2
## [715] 27.7 26.0 26.3 38.6 32.5 31.5 26.3 27.0 26.6 25.7 44.0 45.8 29.5 27.7
## [729] 29.6 30.0 26.7 31.1 26.5 27.2 40.4 27.7 40.2 28.1 38.6 27.2 36.1 53.7
## [743] 29.4 44.0 27.8 32.0 25.7 26.2 32.4 27.8 28.1 41.7 27.1 25.9 26.5 28.8
## [757] 58.0 25.8 27.6 25.9 31.2 32.2 26.1 32.9 30.1 25.6 31.0 30.1 27.5 27.8
## [771] 29.0 34.3 28.3 27.8 34.0 27.3 29.3 40.0 32.1 26.9 43.2 26.2 38.3 27.5
## [785] 25.9 28.5 39.6 25.8 25.8 26.4 40.6 28.0 25.9 30.1 40.6 25.9 31.3 36.2
## [799] 58.3 27.8 25.9 29.4 29.5 34.1 26.2 32.2 37.3 28.1 43.9 26.3 27.8 25.8
## [813] 30.0 26.2 25.8 31.3 27.2 31.5 27.6 29.8 25.9 34.8 26.0 28.2 26.6 30.8
## [827] 29.1 26.7 27.0 35.4 30.7 35.5 25.6 31.1 29.3 29.4 34.9 29.0 40.1 30.8
## [841] 29.9 25.9 33.0 36.4 28.5 26.0 29.3 29.4 27.2 25.8 32.0 28.8 33.9 25.8
## [855] 36.1 26.1 29.0 26.2 30.5 31.0 30.3 36.9 28.1 28.4 32.3 29.4 32.5 28.0
## [869] 32.0 30.7 27.7 29.4 36.4 29.3 32.1 29.3 29.2 26.8 27.2 26.8 34.3 26.6
## [883] 30.3 51.9 29.2 30.8 26.8 36.5 34.2 26.6 31.0 50.5 26.5 36.3 28.8 33.0
## [897] 33.5 26.6 33.8 26.2 28.6 29.3 29.7 36.8 44.2 26.5 25.6 27.9 27.8 57.5
## [911] 28.6 32.5 28.3 32.3 26.3 37.5 30.6 25.9 27.5 25.9 26.0 29.9 65.0 26.1
## [925] 25.9 28.8 30.7 28.9 36.2 28.4 30.2 46.3 26.0 36.7 28.1 34.3 35.5 36.2
## [939] 33.8 25.9 25.6 32.8 31.4 26.8 30.0 27.0 26.3 29.1 25.8 28.2 25.8 53.3
## [953] 26.3 32.8 33.9 29.7 27.8 28.1 39.0 35.8 34.1 30.2 66.0 31.0 29.6 27.8
## [967] 31.7 26.5 28.0 33.8 30.8 26.2 31.6 31.2 26.8 27.4 28.1 31.5 28.7 29.6
## [981] 26.2 36.2 30.3 28.2 27.7 29.7 37.4 31.3 28.4 26.7 27.9 44.2 26.8 26.1
## [995] 31.3 26.4 32.2 32.9 28.8 29.0 46.3 26.8 26.0 26.6 25.9 29.7 40.4 26.7
## [1009] 27.5 26.0 27.0 25.9 26.2 26.0 32.1 39.6 26.5 33.7 28.8 27.2 28.8 25.8
## [1023] 32.0 27.3 26.5 31.8 31.0 28.7 29.4 31.5 36.2 26.5 26.9 28.5 30.0 26.6
## [1037] 28.3 29.7 27.3 47.8 26.5 30.6 26.9 27.9 30.4 26.8 27.7 25.9 29.2 42.3
## [1051] 27.0 26.6 26.6 52.6 29.4 37.1 42.3 25.7 32.9 25.9 41.1 32.5 29.2 30.1
## [1065] 29.6 32.2 37.3 28.4 27.9 36.0 27.1 27.8 42.6 27.0 27.0 25.8 28.4 27.7
## [1079] 26.8 44.2 27.1 26.5 29.2 29.1 25.6 25.9 42.8 32.9 28.7 29.6 28.4 47.7
## [1093] 29.2 29.6 29.7 29.4 28.5 28.4 28.8 26.2 25.8 26.8 29.8 33.0 26.8 26.3
## [1107] 27.8 26.1 27.5 28.7 29.0 31.8 34.1 25.8 34.1 32.9 27.5 25.9 30.7 28.3
## [1121] 37.4 30.9 29.3 25.6 42.2 31.0 29.8 28.8 28.8 25.9 37.7 26.0 27.6 30.6
## [1135] 26.5 25.6 28.8 27.1 28.2 30.6 43.7 28.7 33.9 49.0 25.7 28.3 26.2 32.5
## [1149] 44.4 29.9 26.1 25.8 27.5 29.2 31.2 30.4 27.6 35.7 31.6 29.3 28.1 38.7
## [1163] 37.3 38.3 26.1 35.2 30.0 25.7 26.8 33.6 28.4 26.4 39.0 27.9 28.1 33.9
## [1177] 49.0 27.8 25.9 28.1 26.8 34.9 28.2 30.0 29.9 43.1 33.5 28.7 33.2 25.9
## [1191] 29.2 29.4 29.3 35.6 26.6 30.1 44.1 26.6 33.0 27.7 36.3 30.5 43.1 28.6
## [1205] 29.8 25.9 27.2 47.9 32.5 35.9 26.1 25.6 28.0 26.2 29.5 27.3 29.7 25.6
## [1219] 33.7 32.8 31.0 38.3 28.0 29.5 27.8 29.5 27.3 28.4 31.4 29.7 27.1 25.8
## [1233] 31.7 28.9 31.0 31.6 26.9 27.3 27.3 26.4 53.5 25.8 33.3 26.8 28.2 33.8
## [1247] 40.4 33.6 36.2 26.8 39.0 26.5 26.8 30.6 30.0 29.7 35.1 43.0 26.9 35.2
## [1261] 32.3 31.7 30.9 28.5 36.3 38.0 39.8 27.2 31.5 29.2 29.5 26.5 41.7 37.8
## [1275] 32.9 28.9 31.2 32.5 27.7 26.2 27.8 26.4 29.1 32.0 53.2 36.1 30.0 28.4
## [1289] 25.9 40.0 29.3 44.7 29.3 27.9 48.3 25.8 44.3 28.4 32.1 28.6 35.2 31.2
## [1303] 43.5 27.8 45.8 31.6 27.8 29.0 30.7 27.9 28.1 25.8 25.6 33.0 26.3 27.8
## [1317] 31.2 27.1 29.4 29.0 27.5 26.2 33.7 33.7 26.4 28.4 32.9 34.4 29.0 31.2
## [1331] 51.9 31.6 29.1 48.6 26.4 26.6 32.1 36.7 27.5 31.2 35.5 28.4 25.8 32.1
## [1345] 36.1 47.1 27.5 25.9 35.4 27.6 28.8 26.4 25.7 31.2 27.0 54.1 27.8 29.5
## [1359] 31.0 65.0 30.7 28.4 32.0 26.2 33.0 28.2 26.9 29.3 44.2 26.6 30.3 26.9
## [1373] 55.4 36.1 25.8 48.1 27.4 30.0 27.3 34.2 26.5 28.7 28.6 32.6 30.2 32.0
## [1387] 26.3 32.7 33.8 30.4 28.6 25.9 27.0 34.4 54.8 27.4 29.2 26.1 35.9 32.1
## [1401] 33.9 44.2 25.6 28.1 30.6 27.0 25.8 25.9 30.3 29.2 28.1 30.9 27.0 28.8
## [1415] 30.2 27.5 34.5 32.1 39.2 26.4 25.7 28.7 32.0 26.3 30.7 44.2 27.8 32.2
## [1429] 29.3 27.5 31.0 34.2 26.8 25.7 25.9 27.6 35.4 30.9 27.2 38.2 31.3 30.4
## [1443] 27.7 28.7 26.5 27.1 29.3 28.5 26.0 34.0 34.7 28.4 28.8 31.1 54.1 32.8
## [1457] 40.1 25.6 38.3 40.4 32.5 32.2 27.1 53.3 34.2 33.3 36.7 33.3 26.6 35.6
## [1471] 28.1 31.7 26.7 26.8 26.9 30.1 40.1 27.0 25.8 26.6 27.2 26.5 29.5 33.6
## [1485] 33.3 25.6 36.7 31.4 31.2 27.7 28.4 27.5 28.7 28.9 36.1 31.6 25.8 29.4
## [1499] 27.6 45.0 50.3 31.7 27.2 28.7 37.4 26.2 56.1 32.4 33.7 28.1 28.7 41.3
## [1513] 35.1 26.8 31.6 26.6 59.7 32.1 36.9 35.4 26.3 45.0 36.7 25.7 28.9 33.0
## [1527] 33.6 27.8 31.0 34.4 48.5 31.3 31.9 30.8 34.5 34.1 25.7 28.5 35.9 32.3
## [1541] 25.9 33.2 30.7 25.6 29.9 27.0 29.9 28.6 28.8 30.6 29.7 29.7 26.9 26.8
## [1555] 33.0 32.9 25.6 26.8 32.3 32.3 33.4 29.2 29.0 40.4 28.6 31.0 27.6 28.0
## [1569] 53.4 34.3 35.1 27.5 26.1 34.8 34.6 26.8 30.3 26.0 26.8 27.5 27.8 28.3
## [1583] 28.4 38.0 27.2 28.4 33.0 29.3 26.3 26.9 31.3 68.8 26.2 27.6 26.3 35.5
## [1597] 29.1 34.5 27.3 33.9 34.9 30.4 26.2 25.9 29.5 26.5 30.2 30.2 27.8 46.5
## [1611] 29.0 28.2 26.1 35.0 30.4 25.6 28.4 27.8 26.2 31.6 31.0 27.5 26.0 28.1
## [1625] 27.4 27.7 38.6 39.4 44.6 27.2 27.7 26.4 30.6 30.5 25.7 28.7 28.1 34.7
## [1639] 26.6 26.2 26.3 26.9 30.2 27.6 25.9 26.9 25.8 35.8 28.4 27.2 33.0 39.2
## [1653] 31.4 28.5 31.0 36.0 26.5 31.9 27.5 29.6 26.4 26.2 26.5 31.6 27.3 29.2
## [1667] 38.1 34.4 28.7 43.1 28.5 25.9 34.9 27.2 40.9 30.2 27.5 26.1 26.4 27.8
## [1681] 26.6 40.3 35.5 26.0 27.8 26.1 25.9 31.9 26.3 25.7 30.4 27.6 46.5 26.1
## [1695] 28.1 34.5 26.9 26.7 26.7 27.8 26.5 51.0 27.5 27.5 26.2 25.6 27.0 64.9
## [1709] 31.3 50.5 27.7 28.9 26.7 33.3 31.6 38.1 28.9 28.7 28.0 28.2 29.4 33.7
## [1723] 26.0 48.4 31.4 28.6 35.5 48.5 25.9 34.6 58.5 30.2 27.6 25.9 44.2 28.2
## [1737] 31.7 31.0 32.1 27.3 26.2 28.5 36.9 32.5 27.9 28.8 26.4 26.5 26.5 31.2
## [1751] 41.2 27.7 26.7 26.2 27.4 38.5 29.2 49.5 27.6 52.6 25.9 28.1 42.2 28.4
## [1765] 33.6 34.5 30.2 26.6 27.8 26.8 29.7 27.2 39.6 29.2 27.5 35.5 27.5 29.5
## [1779] 33.6 33.9 33.6 27.5 27.5 28.7 31.6 36.5 32.5 27.1 27.8 30.4 25.7 27.2
## [1793] 28.3 26.8 49.5 27.2 33.0 58.5 25.8 29.8 29.0 27.8 26.0 27.5 35.2 31.4
## [1807] 50.3 26.9 35.7 28.1 27.1 29.1 28.9 27.5 31.9 31.3 35.6 28.2 28.1 33.9
## [1821] 28.3 26.6 29.4 34.0 28.3 27.0 25.6 27.1 31.3 40.0 26.5 31.2 28.6 28.8
## [1835] 26.5 37.7 33.3 26.6 28.2 34.5 32.5 28.1 27.0 26.9 26.2 30.6 30.0 30.5
## [1849] 66.0 43.0 33.6 31.3 37.6 27.5 36.5 39.0 52.3 41.4 26.6 31.5 34.0 28.7
## [1863] 28.4 30.5 41.3 26.9 28.1 36.6 29.1 32.9 32.2 25.7 26.6 29.7 26.2 47.1
## [1877] 29.5 30.2 29.4 27.8 26.3 38.1 33.7 31.5 31.9 25.6 27.9 41.2 36.0 30.1
## [1891] 34.1 33.6 26.5 29.5 29.6 28.4 27.7 30.0 36.6 30.7 27.8 26.6 30.1 27.1
## [1905] 34.6 26.2 30.2 30.2 25.9 46.6 29.7 26.1 31.9 33.8 25.8 26.9 27.2 33.9
## [1919] 27.3 26.2 26.5 26.8 43.7 41.8 41.0 40.8 26.9 38.4 30.8 33.4 26.6 28.7
## [1933] 40.3 29.7 25.9 33.6 30.0 27.7 32.0 38.3 50.3 33.2 27.2 31.8 35.8 27.9
## [1947] 26.6 29.8 30.3 28.1 33.7 27.1 30.6 33.5 35.5 63.4 31.2 25.6 33.0 26.0
## [1961] 52.3 33.2 33.6 28.7 28.2 46.3 28.4 26.1 26.5 42.8 25.6 28.2 26.8 27.7
## [1975] 35.6 27.7 31.7 29.7 30.2 45.7 43.4 27.7 27.5 36.2 34.7 31.3 29.9 26.8
## [1989] 34.3 30.9 36.7 28.6 29.8 26.9 29.7 32.2 33.1 36.9 34.2 28.1 30.0 29.5
## [2003] 28.4 58.5 56.1 28.3 32.2 38.5 33.8 30.1 55.8 26.8 32.2 37.2 28.2 37.7
## [2017] 30.4 27.7 27.2 36.3 31.3 29.4 31.1 37.3 30.2 27.2 32.9 32.8 27.0 32.5
## [2031] 35.0 25.7 26.1 40.2 56.1 33.7 30.2 28.7 40.3 37.2 28.7 27.5 26.5 26.3
## [2045] 28.2 43.0 30.7 32.8 29.0 28.8 33.4 30.0 31.2 41.3 28.4 30.7 31.0 27.4
## [2059] 27.1 25.9 33.6 26.6 35.2 30.3 26.8 25.7 34.5 41.3 26.1 32.9 32.1 31.0
## [2073] 39.4 25.7 37.0 26.3 44.1 33.3 27.4 33.7 26.8 29.8 31.1 29.5 26.0 29.2
## [2087] 25.9 33.4 27.4 27.7 31.2 29.3 33.7 27.5 29.3 34.2 28.5 27.2 28.6 29.0
## [2101] 26.8 30.5 37.6 31.5 39.7 30.4 26.2 29.4 33.5 30.3 25.7 32.2 36.7 34.0
## [2115] 30.3 29.9 29.4 30.6 28.3 31.2 30.3 30.2 26.6 30.3 27.8 28.4 50.8 30.2
## [2129] 27.2 27.2 35.6 31.2 34.4 29.0 27.5 30.2 26.1 32.1 36.9 26.8 28.3 26.5
## [2143] 26.6 29.8 31.8 25.6 29.3 31.2 27.6 25.7 26.2 25.7 29.7 26.1 29.2 35.2
## [2157] 28.6 25.6 27.9 34.2 29.2 25.9 26.7 26.2 26.5 27.5 29.3 28.6 33.9 26.8
## [2171] 27.8 28.5 30.6 34.5 29.4 35.5 29.7 28.7 30.5 34.5 38.3 27.5 30.2 38.1
## [2185] 30.2 27.7 25.9 27.8 35.0 28.4 27.2 27.5 44.7 32.0 34.5 29.3 26.0 27.3
## [2199] 30.3 37.2 26.2 38.4 37.2 36.5 25.8 27.2 34.9 32.0 27.2 34.2 31.0 28.4
## [2213] 38.2 30.7 30.6 37.6 33.9 30.0 42.9 33.6 26.7 25.7 28.3 26.1 29.5 36.2
## [2227] 33.0 38.2 25.7 32.9 26.1 26.0 34.9 65.7 28.4 33.9 30.4 26.3 26.8 31.6
## [2241] 31.3 25.8 35.5 28.5 43.7 37.0 26.1 29.1 50.4 27.6 34.2 28.4 34.5 28.6
## [2255] 40.7 34.7 29.4 27.5 43.0 49.0 27.5 29.4 25.8 25.9 26.8 30.7 28.3 43.0
## [2269] 29.4 27.0 29.5 40.1 33.5 41.2 44.5 28.4 26.5 26.5 38.2 27.6 32.9 35.1
## [2283] 27.2 26.8 25.6 32.7 36.5 29.7 34.2 31.1 26.5 28.6 26.0 32.5 27.5 28.1
## [2297] 29.6 25.9 32.1 29.4 26.3 29.7 33.6 38.8 26.5 35.6 40.6 27.7 26.9 28.6
## [2311] 31.9 40.4 36.3 33.8 26.6 26.4 26.5 26.8 29.4 26.2 26.8 26.0 43.9 32.8
## [2325] 29.9 43.7 25.6 27.0 25.8 30.6 26.6 29.9 36.9 28.1 27.1 29.9 35.6 46.7
## [2339] 31.2 28.4 49.8 28.8 43.0 27.8 28.0 26.8 31.6 26.1 34.8 26.6 26.2 32.5
## [2353] 36.7 33.7 26.7 29.0 25.9 32.2 31.4 34.3 37.8 28.2 28.7 25.9 62.8 54.1
## [2367] 29.5 26.6 30.2 43.9 28.3 29.8 27.1 30.5 29.4 33.3 44.2 31.7 29.7 30.9
## [2381] 40.7 36.1 28.7 42.8 25.8 29.7 26.4 33.8 28.6 28.0 31.3 27.3 26.3 28.7
## [2395] 27.2 45.7 34.9 38.3 33.3 26.7 35.1 25.7 28.8 25.6 26.2 26.6 37.6 26.3
## [2409] 25.9 27.3 43.2 38.3 29.0 29.2 28.4 29.1 27.5 26.7 36.6 30.2 32.5 26.1
## [2423] 26.8 44.4 48.3 26.1 31.4 29.3 31.9 29.3 26.5 27.3 26.6 35.1 25.7 51.0
## [2437] 30.1 28.1 26.7 40.5 26.0 45.8 28.2 30.6 26.3 28.7 25.7 30.6 27.3 30.0
## [2451] 26.2 26.3 36.6 31.0 53.5 33.9 34.1 25.8 37.1 27.8 28.9 28.1 26.7 28.5
## [2465] 31.6 31.3 27.0 30.6 26.7 26.6 39.7 28.5 31.6 33.0 32.0 28.8 31.8 29.6
## [2479] 31.3 27.8 30.0 27.8 27.5 32.7 26.4 62.5 29.4 28.1 36.8 25.9 30.9 28.0
## [2493] 30.4 34.7 29.7 25.9 29.7 39.6 27.5 32.0 33.2 25.8 33.0 29.3 27.7 31.3
## [2507] 27.3 36.1 29.4 37.2 37.3 26.5 27.7 29.7 26.8 28.4 28.5 31.1 26.9 26.7
## [2521] 30.5 26.8 26.9 36.3 34.7 36.3 26.1 27.7 27.2 26.1 25.9 29.4 27.5 31.7
## [2535] 26.8 37.4 46.3 26.8 34.9 32.0 33.0 49.5 31.2 26.1 28.0 29.4 26.6 30.3
## [2549] 54.8 25.9 26.8 31.5 28.0 27.2 25.9 32.3 26.1 26.4 52.1 26.8 26.5 30.2
## [2563] 36.7 29.4 43.0 25.7 29.7 28.7 27.9 27.2 48.4 30.9 30.0 25.7 26.8 31.1
## [2577] 28.2 28.2 42.6 25.7 29.1 41.6 33.3 27.4 26.2 29.5 37.7 34.3 25.6 25.7
## [2591] 29.7 30.4 26.2 29.4 31.6 35.3 30.9 26.2 42.8 28.3 30.4 28.3 33.9 42.2
## [2605] 25.8 31.0 34.5 28.0 30.9 32.9 29.0 30.9 25.8 47.5 28.2 27.1 36.1 33.8
## [2619] 28.4 28.1 31.3 27.0 34.2 38.0 48.6 44.0 37.3 30.4 29.1 30.6 32.5 32.3
## [2633] 27.7 27.8 29.4 38.5 29.9 32.8 41.9 31.9 28.8 25.8 26.2 67.7 34.8 38.5
## [2647] 34.2 26.1 26.6 27.1 41.1 26.1 28.8 46.5 29.5 27.3 31.3
print(df_5_anomalies_wind_speed)
## [1] 34.4 32.7 33.0 35.6 27.8 29.9 33.7 33.8 30.8 27.2 27.7 31.7 36.7 32.7
## [15] 26.0 39.7 30.1 34.2 30.7 34.5 34.5 26.0 28.0 25.8 32.2 31.7 28.7 34.5
## [29] 26.2 29.1 27.8 31.7 37.0 26.6 26.8 38.2 57.0 28.1 34.6 26.8 34.9 32.8
## [43] 29.4 26.0 31.9 26.4 39.5 40.4 30.9 29.4 31.1 26.9 32.0 30.3 28.7 26.1
## [57] 27.4 29.8 27.1 44.0 30.0 29.0 35.6 34.5 36.4 26.6 35.1 30.7 35.0 30.5
## [71] 32.1 29.4 41.9 32.8 27.3 26.8 27.6 65.7 38.5 31.9 26.2 36.6 37.7 30.1
## [85] 28.7 28.6 32.9 30.5 26.0 26.7 31.6 26.8 50.6 27.6 30.6 27.3 30.7 29.4
## [99] 38.6 33.3 33.7 41.4 29.0 27.5 29.1 33.3 33.9 29.5 26.8 31.6 35.0 34.9
## [113] 37.1 26.7 39.5 28.5 28.6 64.9 28.0 27.0 30.4 31.2 29.5 28.8 31.9 30.1
## [127] 25.8 28.8 37.4 29.8 30.5 36.6 29.8 27.0 35.6 28.8 29.7 27.5 41.2 28.3
## [141] 29.7 31.6 26.9 30.5 31.7 45.7 30.5 32.9 35.6 27.2 27.8 26.2 33.7 32.3
## [155] 44.5 29.3 26.5 29.7 57.5 25.9 25.9 33.0 29.7 35.1 27.1 29.9 26.3 29.0
## [169] 26.1 31.3 27.7 33.8 26.3 26.1 28.1 29.4 26.5 37.6 26.0 27.8 30.7 25.9
## [183] 26.8 27.6 31.0 29.2 29.6 27.7 27.8 25.9 26.5 28.1 26.5 27.8 27.6 42.4
## [197] 27.8 34.7 43.5 29.4 38.4 27.8 58.3 34.8 25.9 33.6 33.9 34.3 37.0 28.0
## [211] 26.5 30.4 26.4 38.6 26.8 33.0 29.0 26.3 26.5 36.5 27.1 36.2 32.7 28.6
## [225] 59.7 31.0 29.4 26.5 37.6 33.6 27.1 49.5 25.9 33.6 29.3 30.2 35.1 44.2
## [239] 27.6 28.6 29.4 26.8 42.4 29.4 26.6 31.5 30.7 30.7 52.6 37.1 34.7 31.6
## [253] 28.2 29.4 31.7 26.1 30.7 28.0 65.7 30.2 27.2 26.6 38.3 31.1 41.2 41.8
## [267] 41.6 30.7 28.2 27.3 37.4 25.8 26.8 28.9 36.6 39.1 26.7 25.9 35.0 35.1
## [281] 26.9 31.4 27.5 36.2 40.0 28.3 26.7 34.5 27.7 29.4 26.6 27.5 29.0 33.5
## [295] 30.4 35.3 29.7 31.9 29.7 31.2 33.1 25.8 25.9 29.7 36.2 27.8 26.2 27.1
## [309] 36.7 28.4 28.9 49.0 32.1 32.3 27.5 26.2 26.8 26.7 32.2 40.1 50.5 32.9
## [323] 27.8 26.6 32.4 37.7 27.2 40.1 42.3 32.5 25.9 40.9 33.9 30.4 34.2 31.3
## [337] 27.3 35.9 29.7 25.9 27.2 34.5 26.7 26.2 27.8 26.9 25.9 38.7 26.4 29.4
## [351] 33.6 31.5 28.5 32.9 27.0 28.2 26.9 28.5 27.0 34.0 26.8 28.9 27.9 27.6
## [365] 33.8 42.9 29.2 26.8 25.9 40.1 37.4 29.1 41.0 54.1 28.6 34.7 27.1 26.2
## [379] 30.8 36.9 35.2 29.1 26.0 31.3 26.5 25.8 35.0 31.4 29.9 29.1 28.7 36.5
## [393] 38.2 37.6 32.5 25.9 28.7 35.1 28.5 31.6 30.9 33.0 26.0 27.1 31.3 27.8
## [407] 29.3 37.4 26.6 32.4 28.8 33.0 27.0 31.0 34.2 57.6 27.8 33.8 43.3 31.3
## [421] 26.2 25.9 32.6 33.3 27.2 54.2 25.9 27.5 26.5 27.8 50.5 25.8 28.1 31.6
## [435] 27.5 32.8 26.7 27.7 26.8 25.9 38.9 27.8 27.8 42.9 26.2 26.5 29.3 26.2
## [449] 35.4 27.5 29.4 31.2 25.9 26.8 27.0 28.4 35.9 50.8 34.5 29.8 26.9 26.0
## [463] 51.0 29.0 38.4 30.0 27.0 32.5 37.4 28.2 49.3 29.5 35.3 29.3 26.6 30.8
## [477] 31.7 35.8 31.0 26.9 36.2 30.0 40.9 34.2 28.2 39.6 29.6 32.6 34.4 26.7
## [491] 26.2 26.8 26.6 32.7 28.8 28.7 33.4 30.2 31.7 31.4 32.3 27.8 34.9 26.7
## [505] 28.8 36.1 28.7 28.1 32.3 31.7 27.3 26.2 33.0 65.0 26.1 26.8 27.2 25.9
## [519] 37.3 27.1 53.4 25.9 29.7 28.4 29.4 31.0 38.9 29.5 25.9 26.6 68.0 25.9
## [533] 31.0 30.6 42.6 28.1 25.9 31.0 27.2 52.6 62.5 30.1 26.0 33.9 27.9 28.1
## [547] 32.1 34.6 28.6 32.9 35.3 44.2 29.3 30.6 27.5 29.7 40.0 28.1 31.9 27.5
## [561] 38.4 26.3 26.2 25.8 32.1 40.3 27.5 32.1 27.1 26.1 51.0 44.1 32.9 26.8
## [575] 28.1 43.9 29.2 26.2 25.8 29.0 32.0 26.2 28.5 30.9 33.4 25.9 27.5 26.8
## [589] 35.1 33.1 40.9 32.6 29.6 26.8 26.2 35.7 32.6 36.2 27.8 32.3 38.4 26.3
## [603] 29.5 27.2 26.5 28.1 30.1 27.8 28.6 32.1 27.7 30.3 26.4 25.8 26.0 26.1
## [617] 30.5 29.3 50.5 28.7 25.9 33.4 35.6 27.9 28.9 28.9 36.6 30.6 30.6 33.3
## [631] 30.2 25.8 26.3 28.4 30.4 29.1 33.5 25.8 26.0 28.1 25.8 27.8 31.0 45.4
## [645] 28.4 31.9 33.3 29.8 41.2 27.1 26.5 33.6 36.9 28.9 29.5 29.2 27.8 28.9
## [659] 29.3 29.4 31.0 30.9 31.1 28.1 30.1 45.0 27.0 26.8 58.5 26.0 30.4 28.4
## [673] 27.7 28.8 28.8 25.8 28.8 43.0 35.8 34.5 28.1 29.5 26.3 26.5 29.0 30.6
## [687] 26.0 27.6 29.4 28.6 34.5 26.6 32.4 56.6 28.1 39.7 32.9 26.1 29.7 30.9
## [701] 34.4 28.8 25.8 33.6 26.6 51.0 38.5 30.0 26.0 48.4 27.5 26.5 27.5 26.4
## [715] 28.2 28.9 28.6 43.8 53.5 27.0 34.4 29.7 29.4 30.3 27.7 30.2 42.9 30.4
## [729] 26.7 28.1 31.1 26.2 50.6 47.1 26.6 32.2 27.4 29.4 33.9 25.8 27.8 43.5
## [743] 42.6 26.7 29.8 27.2 28.0 30.1 26.7 27.3 31.7 26.5 26.7 26.7 27.2 35.5
## [757] 29.7 29.0 28.4 33.7 35.9 35.8 32.1 26.0 26.6 58.5 25.9 27.8 51.0 50.6
## [771] 29.7 28.4 34.9 28.1 33.9 26.5 26.7 40.1 42.0 26.0 37.4 43.5 25.9 26.8
## [785] 26.6 30.8 30.3 27.9 33.0 27.7 33.4 27.3 29.7 27.2 33.8 27.3 29.4 42.3
## [799] 26.4 31.6 51.0 28.5 31.9 31.5 31.3 27.0 26.2 35.0 29.4 27.2 27.8 29.0
## [813] 41.8 47.8 42.3 41.2 27.8 26.0 31.0 30.4 30.7 28.1 27.6 42.3 33.7 30.8
## [827] 26.7 36.1 43.9 26.1 32.9 33.2 44.2 26.6 26.8 31.9 29.4 26.4 26.0 37.2
## [841] 27.2 28.8 29.9 26.3 32.9 25.9 31.2 32.8 30.5 27.5 26.6 33.1 31.2 26.3
## [855] 28.7 32.8 28.2 26.5 30.5 33.6 26.5 37.5 34.6 29.7 26.6 40.1 29.5 39.0
## [869] 41.2 33.6 30.7 33.9 29.8 29.5 26.2 33.9 27.6 28.8 28.4 29.6 44.2 37.6
## [883] 41.0 28.8 25.9 26.8 34.4 46.8 27.1 34.0 30.7 28.2 32.0 27.0 36.5 29.6
## [897] 29.4 30.3 28.5 29.6 31.0 26.9 29.4 31.0 27.5 50.5 26.2 26.5 25.8 41.6
## [911] 28.4 27.2 26.2 30.8 29.7 36.5 27.3 31.2 27.3 29.3 30.0 26.4 26.9 26.0
## [925] 26.5 49.8 26.5 32.7 43.1 32.3 33.5 26.5 32.5 33.3 25.9 49.7 33.3 34.1
## [939] 39.6 28.5 36.1 38.4 29.4 36.5 33.6 47.1 26.2 31.4 28.4 34.4 33.3 29.7
## [953] 26.3 30.1 38.1 34.2 28.1 26.1 35.4 28.4 27.2 30.3 27.3 37.7 29.0 27.6
## [967] 25.8 32.0 32.6 26.4 26.3 30.4 29.2 26.2 29.1 26.3 29.7 33.8 27.8 31.3
## [981] 39.7 27.0 31.1 36.6 32.5 28.1 27.6 34.5 26.8 31.5 30.5 28.4 30.5 29.8
## [995] 35.1 25.9 45.4 27.1 31.6 30.7 45.6 28.7 28.7 26.8 47.7 28.2 29.9 26.6
## [1009] 26.8 30.2 28.8 27.3 27.8 29.9 26.8 32.1 29.1 29.1 27.6 29.7 26.6 26.6
## [1023] 27.8 44.5 30.8 38.6 32.3 35.0 29.7 29.6 26.6 26.3 26.8 29.9 40.0 28.3
## [1037] 30.1 30.5 31.8 31.5 33.0 26.2 26.0 26.5 36.5 27.9 38.6 31.4 41.0 26.8
## [1051] 31.3 26.1 36.1 30.4 27.4 25.8 27.9 36.5 26.7 27.8 28.7 25.8 40.3 29.3
## [1065] 29.8 28.7 26.9 27.7 30.2 33.9 29.8 26.6 27.2 26.6 31.5 26.3 27.6 26.2
## [1079] 26.2 26.0 47.9 26.5 37.7 27.4 36.7 33.8 26.8 32.6 32.9 31.1 32.9 62.8
## [1093] 36.2 40.4 27.4 45.7 25.9 33.7 28.4 26.4 35.5 26.2 28.5 31.9 28.8 28.4
## [1107] 30.1 40.4 30.9 27.2 31.4 25.9 28.5 32.7 41.2 32.5 26.9 26.7 27.5 33.5
## [1121] 32.8 31.2 26.5 26.2 26.5 31.3 33.0 40.5 37.6 33.9 26.7 26.6 27.7 25.8
## [1135] 30.5 29.5 26.8 26.2 26.2 32.7 30.0 30.5 30.2 52.6 33.9 26.8 29.7 26.1
## [1149] 58.7 29.9 31.0 36.2 29.0 31.6 30.4 26.9 26.5 26.2 28.8 26.7 31.0 30.9
## [1163] 35.1 25.9 31.0 31.7 37.1 34.0 29.8 40.3 25.9 54.1 30.6 29.0 27.5 49.8
## [1177] 27.5 29.8 31.1 26.6 31.9 30.0 31.7 26.5 43.1 28.4 33.1 31.9 31.6 36.2
## [1191] 27.5 30.5 51.9 29.3 25.8 26.2 36.1 29.4 36.2 41.1 32.2 40.1 57.5 30.6
## [1205] 29.7 26.0 27.7 28.3 27.7 32.8 31.1 30.8 28.4 51.9 26.8 31.0 27.8 28.0
## [1219] 42.4 27.4 28.2 31.7 54.1 26.6 26.4 32.3 34.5 33.5 30.8 26.8 30.6 27.2
## [1233] 28.8 28.3 35.0 26.6 31.6 27.5 37.2 28.8 27.1 26.5 43.0 31.1 30.0 27.2
## [1247] 27.7 27.8 25.9 30.6 34.9 25.9 27.5 26.8 29.8 36.3 27.5 52.6 27.3 25.8
## [1261] 28.8 26.0 34.3 29.5 26.3 41.0 37.6 30.9 32.9 27.7 25.9 27.8 25.9 29.1
## [1275] 27.1 48.4 37.8 26.2 34.0 26.1 39.0 29.2 43.8 26.9 49.0 33.2 41.2 34.8
## [1289] 28.9 27.1 37.8 33.7 26.3 25.9 64.0 27.2 26.1 28.2 27.9 26.2 26.2 31.5
## [1303] 28.1 37.2 31.4 41.2 29.6 30.6 62.8 25.9 45.4 30.6 37.4 27.7 33.2 27.3
## [1317] 29.2 26.4 41.4 27.3 33.3 28.8 26.3 27.4 30.0 28.7 26.8 29.7 30.0 33.8
## [1331] 28.2 26.8 33.7 31.3 29.5 50.6 41.0 62.5 27.6 33.3 31.9 31.0 26.3 33.2
## [1345] 27.5 25.9 28.9 65.7 31.7 37.7 28.0 40.1 26.3 26.7 32.8 31.0 29.4 29.8
## [1359] 31.9 25.8 36.2 40.4 26.6 29.4 33.3 27.5 58.3 35.1 30.4 25.9 36.7 26.8
## [1373] 26.5 54.1 30.4 27.2 35.4 36.7 28.3 46.3 33.3 25.9 27.2 28.1 28.1 27.5
## [1387] 33.3 33.0 33.7 47.9 30.1 36.9 35.0 32.4 34.0 27.6 27.0 29.5 26.2 36.5
## [1401] 27.2 27.3 27.6 26.9 26.8 37.4 51.6 33.3 28.8 31.9 29.1 27.9 28.3 39.6
## [1415] 32.3 37.1 33.0 34.4 34.9 51.0 54.1 26.8 26.1 30.3 27.0 28.1 31.5 31.1
## [1429] 26.4 30.4 26.6 41.7 40.4 33.9 27.7 26.5 41.9 25.8 31.1 25.9 37.1 31.5
## [1443] 26.8 28.4 34.9 38.9 25.9 33.0 28.0 26.6 44.4 36.3 28.1 28.9 41.8 35.2
## [1457] 30.6 26.4 25.8 25.9 30.4 49.3 32.0 31.1 29.9 32.9 28.6 31.8 28.4 33.4
## [1471] 35.4 33.5 30.5 26.2 37.8 36.3 30.4 35.2 27.5 35.5 25.9 27.3 28.5 31.3
## [1485] 35.9 28.0 26.2 26.6 27.8 31.3 26.5 26.5 27.1 26.9 30.2 32.1 30.9 28.9
## [1499] 26.0 32.9 30.2 28.9 25.8 28.4 33.6 27.2 36.5 25.8 31.1 69.0 41.4 26.9
## [1513] 28.4 27.8 27.3 30.0 29.4 29.9 25.9 36.4 38.5 26.5 35.4 26.1 29.1 27.2
## [1527] 28.4 25.9 38.4 33.8 35.8 28.3 56.1 31.7 33.4 27.5 34.9 26.3 29.0 30.4
## [1541] 34.8 27.0 28.5 26.3 28.7 27.5 29.4 29.2 27.7 32.5 31.0 29.0 34.2 32.8
## [1555] 29.4 45.8 29.7 29.1 25.8 28.2 30.9 27.2 31.2 27.8 27.6 29.7 27.2 31.9
## [1569] 28.8 25.9 37.7 26.0 36.1 33.8 32.0 26.3 31.0 30.0 33.2 36.7 34.8 29.8
## [1583] 27.9 41.2 31.0 26.9 38.6 42.9 33.5 27.1 35.1 30.7 30.6 29.6 26.2 34.4
## [1597] 32.9 32.4 54.0 30.1 27.9 41.2 36.4 33.1 30.5 26.2 30.7 35.6 36.1 27.2
## [1611] 35.0 41.3 34.5 32.3 29.7 29.4 30.2 30.2 26.8 27.0 28.6 31.4 30.2 34.8
## [1625] 26.2 26.6 31.4 32.9 26.9 35.2 29.3 30.9 25.9 28.9 30.5 36.3 29.1 31.7
## [1639] 26.2 44.6 37.3 28.0 34.9 35.6 37.2 26.5 30.0 29.4 27.0 31.9 34.4 27.0
## [1653] 33.3 25.9 27.1 39.6 28.9 30.4 26.1 35.0 27.7 26.6 27.5 27.8 35.6 26.8
## [1667] 28.5 26.8 31.5 37.1 54.8 27.0 35.9 28.4 28.7 28.7 32.3 54.0 28.9 33.4
## [1681] 33.4 31.2 26.9 38.3 51.7 28.5 29.2 32.7 30.6 25.8 28.3 28.6 30.4 29.0
## [1695] 28.6 26.3 43.5 36.7 26.6 35.3 31.0 33.0 31.3 27.7 25.9 26.5 28.6 32.5
## [1709] 25.8 32.9 31.9 30.1 29.1 31.3 30.0 35.2 34.4 32.1 27.2 32.4 26.0 30.7
## [1723] 27.2 26.5 26.0 25.9 26.5 30.2 32.2 27.8 28.2 37.5 34.9 32.7 25.8 33.5
## [1737] 26.9 29.9 34.5 30.0 25.9 29.9 29.7 30.4 27.8 28.4 27.8 33.5 30.6 26.5
## [1751] 34.7 36.4 29.4 26.2 34.2 27.8 26.1 25.8 27.5 28.8 31.5 31.2 31.5 33.8
## [1765] 34.2 30.4 36.7 28.5 26.9 26.2 26.8 28.7 32.8 27.8 42.6 31.7 26.2 26.3
## [1779] 26.2 30.5 32.5 27.4 33.4 26.3 28.3 28.8 31.3 33.0 44.3 30.6 29.6 32.8
## [1793] 41.4 31.2 29.9 31.7 26.9 27.6 46.3 27.1 29.3 32.1 29.9 35.9 34.0 36.2
## [1807] 26.6 33.4 50.8 30.0 27.3 26.5 43.2 29.5 28.8 33.0 37.7 27.3 30.6 26.8
## [1821] 29.1 40.3 32.7 28.0 28.8 28.6 25.9 26.2 30.1 27.2 37.1 43.8 40.1 27.0
## [1835] 32.0 29.4 26.6 36.1 29.0 29.6 28.4 25.9 29.7 30.2 28.0 29.8 34.9 29.4
## [1849] 30.7 27.3 31.1 27.1 27.2 34.8 49.5 26.4 32.2 58.3 32.8 27.1 47.5 33.2
## [1863] 31.8 25.8 25.9 30.6 28.5 41.6 28.9 26.5 25.9 33.5 31.1 26.1 30.1 40.3
## [1877] 32.0 40.1 25.9 36.3 31.0 29.9 29.7 28.5 26.7 29.4 33.6 28.9 44.2 26.6
## [1891] 27.7 30.5 27.6 35.6 33.4 66.0 26.9 28.7 27.0 28.1 31.2 26.7 26.7 38.3
## [1905] 28.4 29.3 31.2 27.7 50.5 26.6 34.4 31.0 41.2 30.2 28.6 26.2 29.1 25.8
## [1919] 26.6 41.2 30.1 28.3 27.2 26.5 27.6 30.1 27.3 25.9 25.8 28.8 36.8 27.2
## [1933] 27.2 29.2 35.6 43.1 29.0 34.1 31.2 34.0 29.7 33.0 28.1 27.4 43.9 42.9
## [1947] 35.8 35.4 28.1 31.7 28.7 31.0 27.8 31.4 31.7 34.2 41.3 26.7 34.9 48.1
## [1961] 26.8 33.3 35.2 29.9 36.5 28.1 34.7 39.6 36.2 26.8 30.0 27.5 27.1 32.7
## [1975] 29.6 35.8 28.4 29.0 38.3 29.6 35.1 37.6 38.1 28.6 33.1 26.2 29.3 48.4
## [1989] 43.0 34.5 51.9 43.9 33.9 29.8 25.8 28.3 42.4 33.3 33.7 31.0 26.1 26.4
## [2003] 28.1 36.2 37.2 27.7 26.2 26.0 32.8 62.5 33.3 30.6 42.9 30.5 37.0 34.3
## [2017] 42.6 26.4 39.8 32.0 27.9 35.8 51.7 44.1 26.9 26.3 28.4 33.2 26.8 34.5
## [2031] 26.0 35.9 29.7 29.7 28.4 36.4 28.7 30.8 31.0 28.0 26.6 31.0 26.2 25.9
## [2045] 34.0 35.8 37.6 25.8 30.5 32.1 30.5 33.7 32.9 35.5 27.5 32.6 29.7 26.5
## [2059] 27.9 31.2 37.7 30.2 34.5 27.0 27.3 29.4 35.9 28.0 33.0 28.4 25.8 27.2
## [2073] 60.7 28.1 60.6 29.4 30.0 25.9 26.5 32.9 29.3 25.9 29.6 29.2 30.9 66.0
## [2087] 26.7 37.7 27.4 27.1 41.2 49.0 29.1 26.6 29.1 30.2 25.8 29.3 33.1 27.2
## [2101] 29.9 27.1 27.7 27.2 28.0 33.5 32.0 28.4 36.5 26.2 35.8 26.0 28.7 27.6
## [2115] 35.2 27.8 33.7 34.5 26.3 32.7 30.2 26.8 38.8 30.4 27.2 27.1 29.3 33.1
## [2129] 43.1 29.4 31.9 31.3 39.4 26.2 27.5 26.2 38.2 30.9 31.2 28.0 28.8 36.1
## [2143] 25.9 28.1 29.4 30.8 31.0 28.2 40.9 28.3 51.7 29.1 26.6 26.7 30.6 26.0
## [2157] 29.4 29.5 34.2 28.7 26.9 30.0 31.3 29.1 25.9 26.3 40.3 25.9 26.4 47.4
## [2171] 30.2 26.6 27.8 30.0 26.3 33.7 30.5 33.5 31.8 27.8 30.4 27.2 33.1 32.1
## [2185] 29.3 26.5 27.0 44.2 42.8 27.8 37.0 26.2 29.3 25.9 30.1 28.7 34.2 30.9
## [2199] 27.8 26.0 41.6 31.3 35.4 26.3 27.6 26.4 27.4 25.8 27.0 28.1 48.4 36.5
## [2213] 33.9 42.4 27.2 27.6 29.7 36.5 31.8 27.6 38.3 31.1 35.0 33.0 32.4 25.9
## [2227] 30.5 26.2 31.1 27.5 34.9 33.8 35.2 38.4 26.4 30.3 36.2 26.5 31.1 31.9
## [2241] 26.9 30.0 28.9 27.5 30.1 25.8 41.3 31.5 26.8 31.3 26.7 30.0 34.2 32.5
## [2255] 34.4 29.7 26.0 27.5 28.4 31.0 27.5 29.4 26.5 26.8 30.8 32.7 26.2 27.5
## [2269] 34.0 29.4 25.9 26.2 25.9 32.3 26.8 46.1 29.7 26.8 28.8 27.5 33.6 28.1
## [2283] 27.5 26.8 30.6 29.7 27.6 48.3 27.6 30.0 32.9 34.4 26.8 38.0 26.6 37.1
## [2297] 32.9 30.7 30.9 51.2 29.0 35.8 27.9 31.3 30.3 31.3 28.2 28.9 27.7 30.2
## [2311] 27.3 34.0 26.8 27.0 29.9 34.4 65.0 36.0 27.8 31.0 55.6 33.9 39.8 38.4
## [2325] 31.0 27.5 29.0 31.0 44.5 34.1 32.4 26.2 40.0 38.8 29.0 35.8 31.4 29.7
## [2339] 33.0 29.6 42.4 31.1 25.9 36.5 25.9 32.2 33.4 32.6 28.2 28.7 30.4 26.2
## [2353] 25.9 27.0 27.3 41.2 40.6 32.9 34.9 26.2 41.0 36.1 26.9 27.9 26.0 32.9
## [2367] 33.3 33.8 26.0 42.2 31.4 28.4 29.2 26.2 27.3 26.2 36.1 30.2 28.4 64.5
## [2381] 26.8 35.5 51.1 26.0 30.1 26.8 32.8 32.1 27.6 28.2 30.8 27.6 25.9 47.7
## [2395] 41.3 28.6 28.8 37.6 29.7 36.4 27.2 26.2 25.9 27.6 30.0 31.1 32.7 30.3
## [2409] 26.6 35.4 27.1 33.2 30.2 31.0 32.0 26.2 28.9 27.0 30.7 29.1 28.8 41.2
## [2423] 26.3 26.5 26.3 25.8 37.6 29.9 40.1 33.6 27.1 35.5 28.5 29.7 27.5 26.6
## [2437] 33.0 30.1 30.9 33.3 25.9 38.3 29.2 26.0 26.2 27.6 26.2 26.0 26.3 31.4
## [2451] 28.8 25.9 27.2 47.9 27.8 26.8 28.4 34.2 30.5 28.8 26.2 28.0 36.5 28.5
## [2465] 33.6 31.6 25.8 33.2 36.9 31.5 26.6 29.1 33.3 46.5 33.2 26.5 29.2 41.3
## [2479] 53.2 36.5 29.6 35.1 27.2 27.5 31.7 42.6 30.0 39.1 26.8 36.9 27.2 41.0
## [2493] 51.7 25.9 29.1 26.0 27.9 28.0 27.6 34.4 30.0 29.7 52.6 39.6 28.4 27.2
## [2507] 27.0 40.2 34.5 27.8 33.3 28.4 26.0 30.6 27.6 29.5 30.3 28.8 25.9 30.9
## [2521] 40.1 27.2 30.6 26.0 29.4 28.7 28.6 27.6 27.2 27.4 32.3 29.1 32.1 32.5
## [2535] 30.7 38.4 27.6 31.0 28.1 38.8 34.9 25.8 27.2 26.4 41.1 25.9 38.3 27.1
## [2549] 26.6 26.2 43.9 33.0 31.8 31.5 31.6 30.6 36.5 27.2 37.4 26.8 25.8 26.5
## [2563] 28.8 33.0 43.4 25.9 28.4 28.3 31.0 26.5 28.7 40.2 26.1 29.0 38.6 32.3
## [2577] 29.8 25.9 26.7 28.6 28.4 29.7 65.7 33.8 34.5 30.6 31.0 27.2
Comparing anomalies in all subsamples
# anomalies of first subsample(temp_min coulumn) that are not anomalies in other subsamples(temp_min column)
temp_min_df<-list(df_1_anomalies_temp_min,df_2_anomalies_temp_min,df_3_anomalies_temp_min,
df_4_anomalies_temp_min,df_5_anomalies_temp_min)
anomalies_temp_min <- Reduce(setdiff,temp_min_df)
print(anomalies_temp_min)
## [1] 6.6 6.5 5.7
# anomalies of first subsample(temp_max coulumn) that are not anomalies in other subsamples(temp_max column)
temp_max_df<-list(df_1_anomalies_temp_max,df_2_anomalies_temp_max,df_3_anomalies_temp_max,
df_4_anomalies_temp_max,df_5_anomalies_temp_max)
anomalies_temp_max <- Reduce(setdiff,temp_max_df)
print(anomalies_temp_max)
## numeric(0)
# anomalies of first subsample(humidity_min coulumn) that are not anomalies in other subsamples(humidity_min column)
humidity_min_df<-list(df_1_anomalies_humidity_min,df_2_anomalies_humidity_min,df_3_anomalies_humidity_min,
df_4_anomalies_humidity_min,df_5_anomalies_humidity_min)
anomalies_humidity_min <- Reduce(setdiff,humidity_min_df)
print(anomalies_humidity_min)
## numeric(0)
# anomalies of first subsample(humidity_max coulumn) that are not anomalies in other subsamples(humidity_max column)
humidity_max_df<-list(df_1_anomalies_humidity_max,df_2_anomalies_humidity_max,df_3_anomalies_humidity_max,
df_4_anomalies_humidity_max,df_5_anomalies_humidity_max)
anomalies_humidity_max <- Reduce(setdiff,humidity_max_df)
print(anomalies_humidity_max)
## [1] 22.9 19.1 35.7 19.6
# anomalies of first subsample(wind_speed coulumn) that are not anomalies in other subsamples(wind_speed column)
wind_speed_df<-list(df_1_anomalies_wind_speed,df_2_anomalies_wind_speed,df_3_anomalies_wind_speed,
df_4_anomalies_wind_speed,df_5_anomalies_wind_speed)
anomalies_wind_speed <- Reduce(setdiff,wind_speed_df)
print(anomalies_wind_speed)
## [1] 53.0 41.5 57.1 66.2 56.0 42.5 47.0 50.2
By performing the above operations, I have calculated the anomalies
of every coulum in all subsamples and determined the values of anomalies
in one subsample that are not anomalies in other subsamples
The outputs of this data dive will help in drawing conclusions like
identifying temperature extremes,Humidity trends,windspeed analysis,and
prediction of weather events.