Dataframe
data("iris")
head(iris)
## Sepal.Length Sepal.Width Petal.Length Petal.Width Species
## 1 5.1 3.5 1.4 0.2 setosa
## 2 4.9 3.0 1.4 0.2 setosa
## 3 4.7 3.2 1.3 0.2 setosa
## 4 4.6 3.1 1.5 0.2 setosa
## 5 5.0 3.6 1.4 0.2 setosa
## 6 5.4 3.9 1.7 0.4 setosa
tail(iris)
## Sepal.Length Sepal.Width Petal.Length Petal.Width Species
## 145 6.7 3.3 5.7 2.5 virginica
## 146 6.7 3.0 5.2 2.3 virginica
## 147 6.3 2.5 5.0 1.9 virginica
## 148 6.5 3.0 5.2 2.0 virginica
## 149 6.2 3.4 5.4 2.3 virginica
## 150 5.9 3.0 5.1 1.8 virginica
tail(iris, 10)
## Sepal.Length Sepal.Width Petal.Length Petal.Width Species
## 141 6.7 3.1 5.6 2.4 virginica
## 142 6.9 3.1 5.1 2.3 virginica
## 143 5.8 2.7 5.1 1.9 virginica
## 144 6.8 3.2 5.9 2.3 virginica
## 145 6.7 3.3 5.7 2.5 virginica
## 146 6.7 3.0 5.2 2.3 virginica
## 147 6.3 2.5 5.0 1.9 virginica
## 148 6.5 3.0 5.2 2.0 virginica
## 149 6.2 3.4 5.4 2.3 virginica
## 150 5.9 3.0 5.1 1.8 virginica
str(iris)
## 'data.frame': 150 obs. of 5 variables:
## $ Sepal.Length: num 5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ...
## $ Sepal.Width : num 3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ...
## $ Petal.Length: num 1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ...
## $ Petal.Width : num 0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ...
## $ Species : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ...
summary(iris)
## Sepal.Length Sepal.Width Petal.Length Petal.Width
## Min. :4.300 Min. :2.000 Min. :1.000 Min. :0.100
## 1st Qu.:5.100 1st Qu.:2.800 1st Qu.:1.600 1st Qu.:0.300
## Median :5.800 Median :3.000 Median :4.350 Median :1.300
## Mean :5.843 Mean :3.057 Mean :3.758 Mean :1.199
## 3rd Qu.:6.400 3rd Qu.:3.300 3rd Qu.:5.100 3rd Qu.:1.800
## Max. :7.900 Max. :4.400 Max. :6.900 Max. :2.500
## Species
## setosa :50
## versicolor:50
## virginica :50
##
##
##
#取前三列資料
iris[1:3,]
## Sepal.Length Sepal.Width Petal.Length Petal.Width Species
## 1 5.1 3.5 1.4 0.2 setosa
## 2 4.9 3.0 1.4 0.2 setosa
## 3 4.7 3.2 1.3 0.2 setosa
#取前三列第一行的資料
iris[1:3,1]
## [1] 5.1 4.9 4.7
#取前三列Sepal.Length欄位的資料
iris[1:3,"Sepal.Length"]
## [1] 5.1 4.9 4.7
head(iris[,1:2])
## Sepal.Length Sepal.Width
## 1 5.1 3.5
## 2 4.9 3.0
## 3 4.7 3.2
## 4 4.6 3.1
## 5 5.0 3.6
## 6 5.4 3.9
iris$"Sepal.Length"[1:3]
## [1] 5.1 4.9 4.7
#取前五筆包含length 及 width 的資料
Five.Sepal.iris = iris[1:5, c("Sepal.Length","Sepal.Width")]
#可以用條件做篩選
setosa.data = iris[iris$Species=="setosa",1:5]
str(setosa.data)
## 'data.frame': 50 obs. of 5 variables:
## $ Sepal.Length: num 5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ...
## $ Sepal.Width : num 3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ...
## $ Petal.Length: num 1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ...
## $ Petal.Width : num 0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ...
## $ Species : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ...
#使用which 做資料篩選
which(iris$Species=="setosa")
## [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
## [24] 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46
## [47] 47 48 49 50
#用order做資料排序
iris[order(iris$Sepal.Length, decreasing = TRUE),]
## Sepal.Length Sepal.Width Petal.Length Petal.Width Species
## 132 7.9 3.8 6.4 2.0 virginica
## 118 7.7 3.8 6.7 2.2 virginica
## 119 7.7 2.6 6.9 2.3 virginica
## 123 7.7 2.8 6.7 2.0 virginica
## 136 7.7 3.0 6.1 2.3 virginica
## 106 7.6 3.0 6.6 2.1 virginica
## 131 7.4 2.8 6.1 1.9 virginica
## 108 7.3 2.9 6.3 1.8 virginica
## 110 7.2 3.6 6.1 2.5 virginica
## 126 7.2 3.2 6.0 1.8 virginica
## 130 7.2 3.0 5.8 1.6 virginica
## 103 7.1 3.0 5.9 2.1 virginica
## 51 7.0 3.2 4.7 1.4 versicolor
## 53 6.9 3.1 4.9 1.5 versicolor
## 121 6.9 3.2 5.7 2.3 virginica
## 140 6.9 3.1 5.4 2.1 virginica
## 142 6.9 3.1 5.1 2.3 virginica
## 77 6.8 2.8 4.8 1.4 versicolor
## 113 6.8 3.0 5.5 2.1 virginica
## 144 6.8 3.2 5.9 2.3 virginica
## 66 6.7 3.1 4.4 1.4 versicolor
## 78 6.7 3.0 5.0 1.7 versicolor
## 87 6.7 3.1 4.7 1.5 versicolor
## 109 6.7 2.5 5.8 1.8 virginica
## 125 6.7 3.3 5.7 2.1 virginica
## 141 6.7 3.1 5.6 2.4 virginica
## 145 6.7 3.3 5.7 2.5 virginica
## 146 6.7 3.0 5.2 2.3 virginica
## 59 6.6 2.9 4.6 1.3 versicolor
## 76 6.6 3.0 4.4 1.4 versicolor
## 55 6.5 2.8 4.6 1.5 versicolor
## 105 6.5 3.0 5.8 2.2 virginica
## 111 6.5 3.2 5.1 2.0 virginica
## 117 6.5 3.0 5.5 1.8 virginica
## 148 6.5 3.0 5.2 2.0 virginica
## 52 6.4 3.2 4.5 1.5 versicolor
## 75 6.4 2.9 4.3 1.3 versicolor
## 112 6.4 2.7 5.3 1.9 virginica
## 116 6.4 3.2 5.3 2.3 virginica
## 129 6.4 2.8 5.6 2.1 virginica
## 133 6.4 2.8 5.6 2.2 virginica
## 138 6.4 3.1 5.5 1.8 virginica
## 57 6.3 3.3 4.7 1.6 versicolor
## 73 6.3 2.5 4.9 1.5 versicolor
## 88 6.3 2.3 4.4 1.3 versicolor
## 101 6.3 3.3 6.0 2.5 virginica
## 104 6.3 2.9 5.6 1.8 virginica
## 124 6.3 2.7 4.9 1.8 virginica
## 134 6.3 2.8 5.1 1.5 virginica
## 137 6.3 3.4 5.6 2.4 virginica
## 147 6.3 2.5 5.0 1.9 virginica
## 69 6.2 2.2 4.5 1.5 versicolor
## 98 6.2 2.9 4.3 1.3 versicolor
## 127 6.2 2.8 4.8 1.8 virginica
## 149 6.2 3.4 5.4 2.3 virginica
## 64 6.1 2.9 4.7 1.4 versicolor
## 72 6.1 2.8 4.0 1.3 versicolor
## 74 6.1 2.8 4.7 1.2 versicolor
## 92 6.1 3.0 4.6 1.4 versicolor
## 128 6.1 3.0 4.9 1.8 virginica
## 135 6.1 2.6 5.6 1.4 virginica
## 63 6.0 2.2 4.0 1.0 versicolor
## 79 6.0 2.9 4.5 1.5 versicolor
## 84 6.0 2.7 5.1 1.6 versicolor
## 86 6.0 3.4 4.5 1.6 versicolor
## 120 6.0 2.2 5.0 1.5 virginica
## 139 6.0 3.0 4.8 1.8 virginica
## 62 5.9 3.0 4.2 1.5 versicolor
## 71 5.9 3.2 4.8 1.8 versicolor
## 150 5.9 3.0 5.1 1.8 virginica
## 15 5.8 4.0 1.2 0.2 setosa
## 68 5.8 2.7 4.1 1.0 versicolor
## 83 5.8 2.7 3.9 1.2 versicolor
## 93 5.8 2.6 4.0 1.2 versicolor
## 102 5.8 2.7 5.1 1.9 virginica
## 115 5.8 2.8 5.1 2.4 virginica
## 143 5.8 2.7 5.1 1.9 virginica
## 16 5.7 4.4 1.5 0.4 setosa
## 19 5.7 3.8 1.7 0.3 setosa
## 56 5.7 2.8 4.5 1.3 versicolor
## 80 5.7 2.6 3.5 1.0 versicolor
## 96 5.7 3.0 4.2 1.2 versicolor
## 97 5.7 2.9 4.2 1.3 versicolor
## 100 5.7 2.8 4.1 1.3 versicolor
## 114 5.7 2.5 5.0 2.0 virginica
## 65 5.6 2.9 3.6 1.3 versicolor
## 67 5.6 3.0 4.5 1.5 versicolor
## 70 5.6 2.5 3.9 1.1 versicolor
## 89 5.6 3.0 4.1 1.3 versicolor
## 95 5.6 2.7 4.2 1.3 versicolor
## 122 5.6 2.8 4.9 2.0 virginica
## 34 5.5 4.2 1.4 0.2 setosa
## 37 5.5 3.5 1.3 0.2 setosa
## 54 5.5 2.3 4.0 1.3 versicolor
## 81 5.5 2.4 3.8 1.1 versicolor
## 82 5.5 2.4 3.7 1.0 versicolor
## 90 5.5 2.5 4.0 1.3 versicolor
## 91 5.5 2.6 4.4 1.2 versicolor
## 6 5.4 3.9 1.7 0.4 setosa
## 11 5.4 3.7 1.5 0.2 setosa
## 17 5.4 3.9 1.3 0.4 setosa
## 21 5.4 3.4 1.7 0.2 setosa
## 32 5.4 3.4 1.5 0.4 setosa
## 85 5.4 3.0 4.5 1.5 versicolor
## 49 5.3 3.7 1.5 0.2 setosa
## 28 5.2 3.5 1.5 0.2 setosa
## 29 5.2 3.4 1.4 0.2 setosa
## 33 5.2 4.1 1.5 0.1 setosa
## 60 5.2 2.7 3.9 1.4 versicolor
## 1 5.1 3.5 1.4 0.2 setosa
## 18 5.1 3.5 1.4 0.3 setosa
## 20 5.1 3.8 1.5 0.3 setosa
## 22 5.1 3.7 1.5 0.4 setosa
## 24 5.1 3.3 1.7 0.5 setosa
## 40 5.1 3.4 1.5 0.2 setosa
## 45 5.1 3.8 1.9 0.4 setosa
## 47 5.1 3.8 1.6 0.2 setosa
## 99 5.1 2.5 3.0 1.1 versicolor
## 5 5.0 3.6 1.4 0.2 setosa
## 8 5.0 3.4 1.5 0.2 setosa
## 26 5.0 3.0 1.6 0.2 setosa
## 27 5.0 3.4 1.6 0.4 setosa
## 36 5.0 3.2 1.2 0.2 setosa
## 41 5.0 3.5 1.3 0.3 setosa
## 44 5.0 3.5 1.6 0.6 setosa
## 50 5.0 3.3 1.4 0.2 setosa
## 61 5.0 2.0 3.5 1.0 versicolor
## 94 5.0 2.3 3.3 1.0 versicolor
## 2 4.9 3.0 1.4 0.2 setosa
## 10 4.9 3.1 1.5 0.1 setosa
## 35 4.9 3.1 1.5 0.2 setosa
## 38 4.9 3.6 1.4 0.1 setosa
## 58 4.9 2.4 3.3 1.0 versicolor
## 107 4.9 2.5 4.5 1.7 virginica
## 12 4.8 3.4 1.6 0.2 setosa
## 13 4.8 3.0 1.4 0.1 setosa
## 25 4.8 3.4 1.9 0.2 setosa
## 31 4.8 3.1 1.6 0.2 setosa
## 46 4.8 3.0 1.4 0.3 setosa
## 3 4.7 3.2 1.3 0.2 setosa
## 30 4.7 3.2 1.6 0.2 setosa
## 4 4.6 3.1 1.5 0.2 setosa
## 7 4.6 3.4 1.4 0.3 setosa
## 23 4.6 3.6 1.0 0.2 setosa
## 48 4.6 3.2 1.4 0.2 setosa
## 42 4.5 2.3 1.3 0.3 setosa
## 9 4.4 2.9 1.4 0.2 setosa
## 39 4.4 3.0 1.3 0.2 setosa
## 43 4.4 3.2 1.3 0.2 setosa
## 14 4.3 3.0 1.1 0.1 setosa
sort(iris$Sepal.Length, decreasing = TRUE)
## [1] 7.9 7.7 7.7 7.7 7.7 7.6 7.4 7.3 7.2 7.2 7.2 7.1 7.0 6.9 6.9 6.9 6.9
## [18] 6.8 6.8 6.8 6.7 6.7 6.7 6.7 6.7 6.7 6.7 6.7 6.6 6.6 6.5 6.5 6.5 6.5
## [35] 6.5 6.4 6.4 6.4 6.4 6.4 6.4 6.4 6.3 6.3 6.3 6.3 6.3 6.3 6.3 6.3 6.3
## [52] 6.2 6.2 6.2 6.2 6.1 6.1 6.1 6.1 6.1 6.1 6.0 6.0 6.0 6.0 6.0 6.0 5.9
## [69] 5.9 5.9 5.8 5.8 5.8 5.8 5.8 5.8 5.8 5.7 5.7 5.7 5.7 5.7 5.7 5.7 5.7
## [86] 5.6 5.6 5.6 5.6 5.6 5.6 5.5 5.5 5.5 5.5 5.5 5.5 5.5 5.4 5.4 5.4 5.4
## [103] 5.4 5.4 5.3 5.2 5.2 5.2 5.2 5.1 5.1 5.1 5.1 5.1 5.1 5.1 5.1 5.1 5.0
## [120] 5.0 5.0 5.0 5.0 5.0 5.0 5.0 5.0 5.0 4.9 4.9 4.9 4.9 4.9 4.9 4.8 4.8
## [137] 4.8 4.8 4.8 4.7 4.7 4.6 4.6 4.6 4.6 4.5 4.4 4.4 4.4 4.3
File read and write
# getwd()
setwd('~/lecture/riii')
# setwd("__your_working_directory_path__")
tw2330 = read.csv("data/2330.csv", header=TRUE)
#tw2330 = read.csv('https://github.com/YuHsuanLin/riii/raw/master/data/2330.csv')
test.data = read.table("data/match.txt" ,header = FALSE, sep="|")
as. is.
# as. 形態或物件轉換
as.numeric(c("1","2","3"))
## [1] 1 2 3
# is. 判斷式
x = c(1,2,3,NA)
is.na(x)
## [1] FALSE FALSE FALSE TRUE
!is.na(x)
## [1] TRUE TRUE TRUE FALSE
x[!is.na(x)]
## [1] 1 2 3
p70
setwd('~/lecture/riii')
tw2330 = read.csv("./data/2330.csv", header=TRUE)
str(tw2330)
## 'data.frame': 1801 obs. of 6 variables:
## $ Date : Factor w/ 1801 levels "2011-01-03","2011-01-04",..: 1801 1800 1799 1798 1797 1796 1795 1794 1793 1792 ...
## $ Open : num 224 225 225 226 225 ...
## $ High : num 228 226 226 226 228 ...
## $ Low : num 222 221 221 224 225 ...
## $ Close : num 227 224 222 225 227 ...
## $ Volume: int 6448117 7619247 10731921 10535437 9272078 16080436 29507056 7758149 10130508 10232257 ...
tw2330$Date = as.Date(tw2330$Date)
tw2330_2017 = tw2330[(tw2330$Date >= '2017-01-01' & tw2330$Date < '2018-01-01'),]
max(tw2330_2017$Close)
## [1] 244
ordered_stock = tw2330_2017[order(tw2330_2017$Close, decreasing = T),]
List
item= list(thing='hat',size=8.25)
item$thing
## [1] "hat"
item$size
## [1] 8.25
flower= list(title="iris dataset", data= iris)
class(flower)
## [1] "list"
class(flower$data)
## [1] "data.frame"
flower$data[1,"Sepal.Width"]
## [1] 3.5
li = list(c(1,2,3,4),c(5,6,7,8))
li[[1]]
## [1] 1 2 3 4
two dataframes join
#merge進行資料合併
df1 = data.frame(CustomerId = c(1:6), Product = c(rep("Toaster", 3), rep("Radio", 3)))
df2 = data.frame(CustomerId = c(2, 4, 6), State = c(rep("Alabama", 2), rep("Ohio", 1)))
#Inner join:
merge(x = df1, y= df2, by="CustomerId")
## CustomerId Product State
## 1 2 Toaster Alabama
## 2 4 Radio Alabama
## 3 6 Radio Ohio
#Outer join:
merge(x = df1, y = df2, by = "CustomerId", all = TRUE)
## CustomerId Product State
## 1 1 Toaster <NA>
## 2 2 Toaster Alabama
## 3 3 Toaster <NA>
## 4 4 Radio Alabama
## 5 5 Radio <NA>
## 6 6 Radio Ohio
#Left outer:
merge(x = df1, y = df2, by = "CustomerId", all.x = TRUE)
## CustomerId Product State
## 1 1 Toaster <NA>
## 2 2 Toaster Alabama
## 3 3 Toaster <NA>
## 4 4 Radio Alabama
## 5 5 Radio <NA>
## 6 6 Radio Ohio
#Right outer:
merge(x = df1, y = df2, by = "CustomerId", all.y = TRUE)
## CustomerId Product State
## 1 2 Toaster Alabama
## 2 4 Radio Alabama
## 3 6 Radio Ohio
#Cross join:
merge(x = df1, y = df2, by = NULL)
## CustomerId.x Product CustomerId.y State
## 1 1 Toaster 2 Alabama
## 2 2 Toaster 2 Alabama
## 3 3 Toaster 2 Alabama
## 4 4 Radio 2 Alabama
## 5 5 Radio 2 Alabama
## 6 6 Radio 2 Alabama
## 7 1 Toaster 4 Alabama
## 8 2 Toaster 4 Alabama
## 9 3 Toaster 4 Alabama
## 10 4 Radio 4 Alabama
## 11 5 Radio 4 Alabama
## 12 6 Radio 4 Alabama
## 13 1 Toaster 6 Ohio
## 14 2 Toaster 6 Ohio
## 15 3 Toaster 6 Ohio
## 16 4 Radio 6 Ohio
## 17 5 Radio 6 Ohio
## 18 6 Radio 6 Ohio
readr package
#install.packages("tidyverse")
library('tidyverse')
## ─ Attaching packages ────────────── tidyverse 1.2.1 ─
## ✔ ggplot2 3.1.0 ✔ purrr 0.2.5
## ✔ tibble 2.1.1 ✔ dplyr 0.8.0.1
## ✔ tidyr 0.8.1 ✔ stringr 1.3.1
## ✔ readr 1.3.1 ✔ forcats 0.3.0
## Warning: package 'tibble' was built under R version 3.5.2
## Warning: package 'dplyr' was built under R version 3.5.2
## ─ Conflicts ──────────────── tidyverse_conflicts() ─
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
#install.packages("readr")
#library("readr")
setwd('~/lecture/riii')
read.csv('data/2330.csv',header = T)
## Date Open High Low Close Volume
## 1 2018-04-30 224.5 228.0 222.5 227.0 6448117
## 2 2018-04-27 225.0 225.5 221.0 223.5 7619247
## 3 2018-04-26 225.0 225.5 221.0 222.0 10731921
## 4 2018-04-25 225.5 226.0 224.0 225.0 10535437
## 5 2018-04-24 225.0 227.5 225.0 227.0 9272078
## 6 2018-04-23 226.5 227.5 225.0 226.5 16080436
## 7 2018-04-20 228.0 231.5 228.0 229.0 29507056
## 8 2018-04-19 242.0 244.5 241.0 244.5 7758149
## 9 2018-04-18 239.5 241.5 236.5 238.0 10130508
## 10 2018-04-17 243.0 243.5 237.5 238.0 10232257
## 11 2018-04-16 243.0 244.0 242.0 243.5 4459662
## 12 2018-04-13 246.0 246.0 244.0 244.5 4836132
## 13 2018-04-12 248.5 248.5 244.0 245.0 5011776
## 14 2018-04-11 246.5 248.5 246.5 248.0 5349888
## 15 2018-04-10 244.5 249.0 243.5 245.5 6204392
## 16 2018-04-09 248.0 248.0 243.5 245.0 8527391
## 17 2018-04-03 243.0 244.5 242.0 244.0 8710200
## 18 2018-04-02 248.5 249.0 245.0 246.5 4372780
## 19 2018-03-31 247.5 249.0 246.5 247.5 893664
## 20 2018-03-30 247.5 249.5 246.0 246.0 4205700
## 21 2018-03-29 243.0 247.0 242.5 244.0 8824648
## 22 2018-03-28 247.5 248.0 244.0 245.0 7278981
## 23 2018-03-27 248.0 251.0 247.0 251.0 7709339
## 24 2018-03-26 241.5 244.5 241.5 243.5 8976579
## 25 2018-03-23 245.0 247.0 244.0 245.0 12877905
## 26 2018-03-22 254.5 254.5 249.5 251.5 6797032
## 27 2018-03-21 255.0 255.0 251.0 252.5 7315751
## 28 2018-03-20 253.0 254.0 251.5 253.0 5515686
## 29 2018-03-19 252.5 255.5 251.0 255.0 5426275
## 30 2018-03-16 253.0 256.0 249.5 255.0 15915670
## 31 2018-03-15 258.0 258.0 255.0 255.0 4965547
## 32 2018-03-14 256.5 257.5 255.5 257.0 6097052
## 33 2018-03-13 255.5 259.0 255.0 259.0 8685464
## 34 2018-03-12 252.0 255.0 251.5 254.0 6216250
## 35 2018-03-09 250.0 251.0 248.5 250.5 4959031
## 36 2018-03-08 249.5 251.5 249.0 249.5 5172733
## 37 2018-03-07 248.0 248.5 246.0 247.0 7525602
## 38 2018-03-06 245.5 250.0 245.5 250.0 8645809
## 39 2018-03-05 242.5 243.0 240.5 241.5 6607368
## 40 2018-03-02 240.0 241.0 238.5 240.0 8417825
## 41 2018-03-01 244.0 245.0 242.0 243.0 9664595
## 42 2018-02-27 250.5 250.5 246.0 246.0 10104877
## 43 2018-02-26 247.0 247.5 245.0 246.5 8845292
## 44 2018-02-23 241.0 245.0 241.0 245.0 6578658
## 45 2018-02-22 244.0 244.0 239.0 239.5 9462810
## 46 2018-02-21 244.5 244.5 242.0 242.5 17392394
## 47 2018-02-12 235.5 237.5 235.0 236.5 8417418
## 48 2018-02-09 230.0 233.0 228.5 232.5 15180114
## 49 2018-02-08 239.5 242.0 238.0 238.5 7420254
## 50 2018-02-07 245.0 245.5 239.5 240.0 19363247
## 51 2018-02-06 242.5 243.5 234.0 239.0 24456688
## 52 2018-02-05 251.0 254.5 250.5 253.0 11500349
## 53 2018-02-02 259.0 260.0 255.0 259.5 6633345
## 54 2018-02-01 257.5 261.0 257.0 259.5 7934270
## 55 2018-01-31 253.0 257.5 252.0 255.0 11246016
## 56 2018-01-30 256.0 257.5 252.5 253.0 9383949
## 57 2018-01-29 259.0 261.5 255.0 258.5 7746194
## 58 2018-01-26 256.5 257.5 253.5 255.0 10092517
## 59 2018-01-25 258.0 264.0 256.5 258.0 11573808
## 60 2018-01-24 263.0 263.0 256.5 258.0 10835057
## 61 2018-01-23 262.5 266.0 262.5 266.0 8869942
## 62 2018-01-22 257.5 262.0 257.0 261.5 11284694
## 63 2018-01-19 253.5 255.5 251.5 255.5 12832461
## 64 2018-01-18 245.0 250.0 245.0 248.5 12351445
## 65 2018-01-17 240.5 243.0 239.0 242.0 9190191
## 66 2018-01-16 240.0 240.5 238.0 240.5 5196412
## 67 2018-01-15 240.0 240.0 238.0 240.0 6561487
## 68 2018-01-12 234.5 238.0 233.5 237.0 5081995
## 69 2018-01-11 235.0 236.0 232.5 235.0 7120912
## 70 2018-01-10 241.5 242.0 236.0 236.5 5621697
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## 740 2015-04-24 149.0 152.5 148.5 152.5 18554170
## 741 2015-04-23 145.5 147.0 145.0 147.0 6887579
## 742 2015-04-22 143.5 145.0 143.0 143.5 5844789
## 743 2015-04-21 142.0 143.5 141.5 142.5 5169502
## 744 2015-04-20 142.0 144.0 141.5 143.0 4905755
## 745 2015-04-17 143.0 144.0 142.5 142.5 11001018
## 746 2015-04-16 145.0 147.0 144.5 147.0 7966245
## 747 2015-04-15 143.5 144.5 141.5 143.0 10214833
## 748 2015-04-14 145.0 145.5 143.5 144.0 6002629
## 749 2015-04-13 146.5 147.5 146.0 147.0 3502853
## 750 2015-04-10 146.0 147.0 145.0 147.0 4948521
## 751 2015-04-09 144.0 145.5 143.0 143.0 6702520
## 752 2015-04-08 145.5 146.0 143.0 143.0 6855513
## 753 2015-04-07 146.5 147.5 145.0 146.0 4887268
## 754 2015-04-02 145.0 148.0 144.5 147.0 7229504
## 755 2015-04-01 145.0 145.0 143.5 144.0 5600324
## 756 2015-03-31 144.0 145.5 143.0 145.5 8193060
## 757 2015-03-30 142.5 144.0 142.0 142.5 8559514
## 758 2015-03-27 144.0 145.5 142.5 142.5 15352680
## 759 2015-03-26 145.5 147.0 144.5 145.5 22917123
## 760 2015-03-25 152.0 152.5 150.5 151.0 6729686
## 761 2015-03-24 153.5 153.5 151.5 151.5 5496940
## 762 2015-03-23 154.0 154.0 152.5 153.5 4049601
## 763 2015-03-20 151.5 154.0 151.5 154.0 5787510
## 764 2015-03-19 152.5 155.0 152.5 154.0 6646443
## 765 2015-03-18 151.0 154.0 150.0 153.5 10806372
## 766 2015-03-17 148.5 150.0 148.5 149.0 8326103
## 767 2015-03-16 149.0 149.5 146.0 146.0 5440611
## 768 2015-03-13 148.0 149.5 147.0 149.0 6787983
## 769 2015-03-12 147.0 148.5 146.5 148.0 4770024
## 770 2015-03-11 143.5 148.0 143.0 146.0 7572306
## 771 2015-03-10 145.0 145.0 144.0 144.0 6762792
## 772 2015-03-09 147.5 147.5 145.0 145.5 9806787
## 773 2015-03-06 149.0 149.5 148.5 149.0 4674119
## 774 2015-03-05 150.0 151.0 148.5 150.0 4339281
## 775 2015-03-04 150.0 151.5 149.0 150.5 4920081
## 776 2015-03-03 150.0 151.0 148.5 150.5 4374634
## 777 2015-03-02 151.5 153.0 148.5 149.0 6219485
## 778 2015-02-26 153.5 154.0 150.5 150.5 8422369
## 779 2015-02-25 152.5 154.5 152.5 154.5 7425360
## 780 2015-02-24 149.0 152.0 148.5 151.0 10942532
## 781 2015-02-13 148.5 150.0 148.0 148.5 5672477
## 782 2015-02-12 149.5 149.5 147.5 148.5 4990581
## 783 2015-02-11 146.0 149.0 146.0 148.0 10550757
## 784 2015-02-10 142.0 143.0 141.5 142.5 4744301
## 785 2015-02-09 143.0 143.5 141.5 142.0 3748135
## 786 2015-02-06 145.5 145.5 143.0 143.0 3943315
## 787 2015-02-05 145.5 146.0 143.5 145.5 3383433
## 788 2015-02-04 144.5 146.5 144.0 146.0 5878141
## 789 2015-02-03 143.0 144.5 142.0 144.5 3911597
## 790 2015-02-02 140.5 143.0 140.5 142.5 4149655
## 791 2015-01-30 145.0 145.5 141.0 141.0 6209789
## 792 2015-01-29 144.0 145.0 143.0 143.5 4967196
## 793 2015-01-28 146.5 147.0 145.5 146.5 6722451
## 794 2015-01-27 145.5 147.0 144.5 147.0 7706091
## 795 2015-01-26 145.5 145.5 143.5 145.0 6757209
## 796 2015-01-23 142.5 145.0 142.5 145.0 11860881
## 797 2015-01-22 141.5 142.0 139.5 140.0 6181526
## 798 2015-01-21 139.5 141.0 139.5 141.0 9905650
## 799 2015-01-20 139.0 139.0 137.5 138.0 4536386
## 800 2015-01-19 138.5 139.5 137.5 139.0 6930867
## 801 2015-01-16 140.0 140.0 136.0 137.0 17138990
## 802 2015-01-15 131.5 133.0 131.5 131.5 5362779
## 803 2015-01-14 132.5 133.0 130.0 130.0 6397268
## 804 2015-01-13 131.0 133.0 130.5 132.5 5000809
## 805 2015-01-12 132.5 133.5 132.0 132.0 4031933
## 806 2015-01-09 135.0 135.5 133.0 134.0 8292875
## 807 2015-01-08 136.5 138.0 136.0 138.0 5839711
## 808 2015-01-07 133.5 135.0 133.5 134.0 5871656
## 809 2015-01-06 137.5 137.5 133.0 133.5 8997174
## 810 2015-01-05 140.5 140.5 137.5 139.5 4444336
## 811 2014-12-31 139.0 141.0 139.0 141.0 2570413
## 812 2014-12-30 141.0 141.5 139.0 140.0 3056741
## 813 2014-12-29 138.0 141.0 138.0 141.0 4920595
## 814 2014-12-27 139.0 139.0 137.5 138.5 666172
## 815 2014-12-26 138.0 139.0 137.0 139.0 1817851
## 816 2014-12-25 137.0 138.0 137.0 137.5 1015532
## 817 2014-12-24 136.0 138.0 136.0 138.0 2300669
## 818 2014-12-23 139.0 140.0 137.0 137.5 2646448
## 819 2014-12-22 137.5 140.0 137.0 138.5 4799243
## 820 2014-12-19 134.5 138.0 134.0 138.0 6061883
## 821 2014-12-18 132.0 133.0 131.0 131.5 6659941
## 822 2014-12-17 133.0 133.0 130.0 130.5 9260423
## 823 2014-12-16 134.5 135.5 133.0 133.0 5519760
## 824 2014-12-15 134.5 136.5 134.5 136.0 6016146
## 825 2014-12-12 135.0 136.0 134.5 135.0 4253680
## 826 2014-12-11 135.0 136.0 134.5 134.5 4369178
## 827 2014-12-10 138.0 139.0 136.0 136.0 5453042
## 828 2014-12-09 138.0 139.0 137.5 138.0 4394681
## 829 2014-12-08 138.0 138.5 137.0 138.0 2708787
## 830 2014-12-05 138.5 139.5 137.0 137.5 3729832
## 831 2014-12-04 139.0 140.0 138.5 139.0 3935004
## 832 2014-12-03 137.5 139.0 136.5 138.0 5378789
## 833 2014-12-02 139.5 139.5 137.5 137.5 6355152
## 834 2014-12-01 139.0 142.0 138.5 140.0 5786698
## 835 2014-11-28 139.0 141.5 139.0 141.5 5043677
## 836 2014-11-27 140.0 142.0 140.0 140.0 3700550
## 837 2014-11-26 138.5 139.0 138.0 139.0 3216869
## 838 2014-11-25 138.5 140.0 138.5 139.0 5942219
## 839 2014-11-24 140.0 140.5 138.0 138.5 4638793
## 840 2014-11-21 139.5 139.5 137.5 138.5 4206929
## 841 2014-11-20 137.5 139.0 137.0 139.0 6111535
## 842 2014-11-19 133.0 136.5 132.5 136.0 9637506
## 843 2014-11-18 134.0 134.5 131.0 131.5 5664687
## 844 2014-11-17 135.0 135.5 132.5 133.0 3169536
## 845 2014-11-14 134.0 135.0 133.5 135.0 3189215
## 846 2014-11-13 133.5 134.5 132.5 134.0 3331305
## 847 2014-11-12 134.5 134.5 131.5 132.0 3631228
## 848 2014-11-11 135.0 135.0 133.0 134.0 2745360
## 849 2014-11-10 132.5 134.5 132.0 134.5 5709888
## 850 2014-11-07 131.5 131.5 130.5 131.0 2196721
## 851 2014-11-06 132.5 132.5 131.5 132.0 3753932
## 852 2014-11-05 131.5 132.0 131.0 132.0 2980749
## 853 2014-11-04 132.0 132.0 131.0 132.0 4234533
## 854 2014-11-03 132.0 132.5 130.5 131.0 5911360
## 855 2014-10-31 128.0 130.5 127.5 130.5 5448848
## 856 2014-10-30 128.5 129.0 127.0 128.5 4573685
## 857 2014-10-29 129.0 129.5 128.0 129.0 4475447
## 858 2014-10-28 129.0 129.5 127.5 128.0 4502178
## 859 2014-10-27 126.5 128.0 126.5 128.0 3198861
## 860 2014-10-24 127.0 127.5 125.0 125.5 5309444
## 861 2014-10-23 128.0 128.5 127.5 127.5 3392536
## 862 2014-10-22 127.5 129.0 127.5 129.0 8242619
## 863 2014-10-21 126.0 126.0 124.5 125.0 3212362
## 864 2014-10-20 125.0 126.0 124.5 126.0 4804388
## 865 2014-10-17 125.0 125.5 123.5 123.5 11440111
## 866 2014-10-16 121.5 124.0 120.0 121.5 5590300
## 867 2014-10-15 121.5 123.0 121.0 121.5 5355926
## 868 2014-10-14 120.0 121.5 119.5 121.0 3860053
## 869 2014-10-13 119.0 121.5 118.0 120.5 8347137
## 870 2014-10-09 124.0 125.0 123.5 125.0 4413934
## 871 2014-10-08 123.5 125.0 122.5 122.5 3631366
## 872 2014-10-07 125.0 125.5 123.5 125.0 4992658
## 873 2014-10-06 125.0 126.0 124.0 126.0 4671441
## 874 2014-10-03 122.5 125.0 122.0 124.5 6451706
## 875 2014-10-02 121.0 122.5 120.5 121.0 3731057
## 876 2014-10-01 120.0 122.0 120.0 121.5 5119334
## 877 2014-09-30 120.0 121.0 119.0 120.0 5299805
## 878 2014-09-29 122.0 122.0 120.0 120.5 6616480
## 879 2014-09-26 121.0 121.5 120.5 121.0 2858870
## 880 2014-09-25 123.0 124.0 121.5 122.0 2847563
## 881 2014-09-24 122.0 124.0 122.0 123.0 3393862
## 882 2014-09-23 123.0 123.5 122.0 122.5 1879285
## 883 2014-09-22 124.0 124.0 122.0 122.0 4827932
## 884 2014-09-19 125.5 126.0 125.0 125.0 3838464
## 885 2014-09-18 124.5 125.0 123.5 125.0 1842073
## 886 2014-09-17 123.5 125.0 123.0 124.5 2925251
## 887 2014-09-16 123.0 123.0 122.0 122.5 2362531
## 888 2014-09-15 122.5 123.5 122.0 123.5 2412393
## 889 2014-09-12 124.5 125.0 123.0 123.0 2471383
## 890 2014-09-11 126.0 126.0 125.0 125.0 2870358
## 891 2014-09-10 126.0 126.0 124.0 125.0 3651078
## 892 2014-09-09 127.5 127.5 126.5 127.0 2812969
## 893 2014-09-05 128.5 128.5 125.5 127.0 2547459
## 894 2014-09-04 128.0 128.0 126.0 127.5 2753689
## 895 2014-09-03 127.0 128.0 125.5 128.0 3130801
## 896 2014-09-02 128.0 128.0 125.5 126.0 2436568
## 897 2014-09-01 125.0 128.5 125.0 128.5 4641017
## 898 2014-08-29 124.5 125.0 124.0 124.0 3524841
## 899 2014-08-28 126.0 126.0 124.5 125.0 2704117
## 900 2014-08-27 125.5 126.0 124.5 125.5 4624364
## 901 2014-08-26 125.0 125.5 124.0 124.5 3600228
## 902 2014-08-25 125.5 126.0 125.0 125.0 2551519
## 903 2014-08-22 124.5 126.0 123.5 125.5 5361135
## 904 2014-08-21 126.0 126.0 124.0 124.5 2820643
## 905 2014-08-20 125.0 125.5 124.5 125.5 3630457
## 906 2014-08-19 124.0 125.0 123.5 124.0 3936207
## 907 2014-08-18 124.0 124.0 122.5 123.0 1805500
## 908 2014-08-15 124.5 125.0 123.0 124.0 2379578
## 909 2014-08-14 123.5 124.0 123.0 124.0 4076947
## 910 2014-08-13 121.0 123.5 120.5 122.5 4865693
## 911 2014-08-12 121.0 122.0 120.5 121.5 3916888
## 912 2014-08-11 120.0 121.0 119.5 120.5 5176984
## 913 2014-08-08 120.5 121.0 119.5 120.5 4226147
## 914 2014-08-07 120.5 121.5 119.5 121.5 3570906
## 915 2014-08-06 119.0 121.5 119.0 120.5 4168021
## 916 2014-08-05 122.5 122.5 119.5 119.5 7396996
## 917 2014-08-04 120.0 123.5 120.0 123.5 4849122
## 918 2014-08-01 120.0 121.0 119.5 120.0 6306155
## 919 2014-07-31 124.0 124.0 121.0 121.0 5461571
## 920 2014-07-30 123.5 125.0 123.0 124.5 4031743
## 921 2014-07-29 122.5 124.0 122.0 124.0 4683658
## 922 2014-07-28 122.0 122.5 121.0 121.5 5296515
## 923 2014-07-25 124.5 125.0 122.5 123.0 3869770
## 924 2014-07-24 124.5 125.0 124.0 125.0 8188321
## 925 2014-07-22 123.5 125.0 122.5 124.5 6611630
## 926 2014-07-21 124.0 124.5 122.5 123.5 7019581
## 927 2014-07-18 121.5 124.0 121.5 123.5 11790540
## 928 2014-07-17 125.0 125.5 123.0 124.5 16962235
## 929 2014-07-16 133.0 133.5 130.0 130.5 5156945
## 930 2014-07-15 133.0 134.0 132.5 133.0 4936183
## 931 2014-07-14 134.5 134.5 132.5 132.5 6197717
## 932 2014-07-11 136.0 138.0 135.5 136.5 5946107
## 933 2014-07-10 134.5 136.0 134.5 134.5 6370809
## 934 2014-07-09 133.5 135.0 133.5 134.0 5271354
## 935 2014-07-08 135.5 136.0 134.0 134.5 4883351
## 936 2014-07-07 134.5 136.0 132.5 136.0 4359168
## 937 2014-07-04 133.5 136.0 132.0 135.0 5932684
## 938 2014-07-03 131.5 135.0 130.5 134.5 5362255
## 939 2014-07-02 129.5 132.5 129.0 132.5 6784672
## 940 2014-07-01 126.5 128.5 126.0 128.0 4220113
## 941 2014-06-30 126.0 127.0 125.0 126.5 4214395
## 942 2014-06-27 125.0 126.5 124.0 125.5 5576193
## 943 2014-06-26 124.5 125.0 123.5 124.5 3765534
## 944 2014-06-25 123.0 124.5 123.0 123.5 3811306
## 945 2014-06-24 123.0 123.5 122.0 123.0 4086777
## 946 2014-06-23 125.0 125.5 123.0 123.0 3108563
## 947 2014-06-20 126.5 127.0 124.0 124.5 3771683
## 948 2014-06-19 124.5 126.0 124.5 126.0 2248735
## 949 2014-06-18 125.0 126.5 124.0 125.5 4684521
## 950 2014-06-17 124.0 125.0 123.0 125.0 2471427
## 951 2014-06-16 122.5 124.0 122.5 124.0 1673075
## 952 2014-06-13 123.0 123.5 122.5 123.0 2117624
## 953 2014-06-12 124.0 124.0 123.0 123.5 2739841
## 954 2014-06-11 124.0 125.0 123.5 125.0 3463114
## 955 2014-06-10 123.0 124.5 122.5 124.5 3134324
## 956 2014-06-09 122.5 123.5 122.5 123.0 2424540
## 957 2014-06-06 123.5 123.5 122.0 122.5 2364597
## 958 2014-06-05 123.0 123.5 121.5 123.0 2397330
## 959 2014-06-04 123.5 124.0 123.0 123.5 4136552
## 960 2014-06-03 120.0 122.5 120.0 122.5 4579142
## 961 2014-05-30 122.0 122.5 119.5 119.5 8318164
## 962 2014-05-29 123.5 124.0 121.5 122.0 5267063
## 963 2014-05-28 124.0 124.0 122.5 124.0 4530563
## 964 2014-05-27 122.5 124.0 122.5 123.5 2232275
## 965 2014-05-26 123.0 123.5 122.0 123.0 2439784
## 966 2014-05-23 121.0 122.5 121.0 122.0 3866394
## 967 2014-05-22 121.5 122.0 121.0 122.0 3198769
## 968 2014-05-21 122.0 122.0 120.5 120.5 2935443
## 969 2014-05-20 122.0 122.0 121.0 121.0 3073122
## 970 2014-05-19 122.0 122.5 121.0 121.0 2236459
## 971 2014-05-16 122.0 123.0 121.0 122.0 3479215
## 972 2014-05-15 121.0 122.0 120.5 122.0 2040805
## 973 2014-05-14 121.0 122.0 120.5 122.0 3991163
## 974 2014-05-13 120.0 121.0 119.5 120.5 2894574
## 975 2014-05-12 119.5 120.0 117.5 118.5 4208521
## 976 2014-05-09 120.0 120.0 119.0 120.0 2785145
## 977 2014-05-08 119.5 120.0 119.0 119.5 3233973
## 978 2014-05-07 118.0 119.0 117.5 118.5 3931217
## 979 2014-05-06 117.0 119.0 116.5 118.0 3247100
## 980 2014-05-05 117.5 118.0 116.0 117.0 3358227
## 981 2014-05-02 119.0 119.5 117.0 118.0 5046136
## 982 2014-04-30 120.0 120.5 117.0 118.5 5189053
## 983 2014-04-29 120.5 121.0 119.0 120.5 2618946
## 984 2014-04-28 118.5 120.0 117.5 119.0 3344700
## 985 2014-04-25 121.0 121.0 118.0 118.5 5889186
## 986 2014-04-24 121.0 121.0 120.0 121.0 2953091
## 987 2014-04-23 123.0 123.0 120.5 121.0 3785309
## 988 2014-04-22 121.0 122.5 120.5 121.5 2760298
## 989 2014-04-21 122.0 122.0 121.0 121.5 2648099
## 990 2014-04-18 122.5 123.0 121.0 123.0 4023631
## 991 2014-04-17 120.5 121.5 119.0 120.0 4309378
## 992 2014-04-16 121.5 122.5 121.0 121.0 6085393
## 993 2014-04-15 121.5 122.5 121.0 122.5 3488643
## 994 2014-04-14 120.0 121.0 120.0 120.5 3658391
## 995 2014-04-11 118.5 120.0 118.0 120.0 4113451
## 996 2014-04-10 119.0 119.5 118.5 119.5 3061172
## 997 2014-04-09 119.5 120.0 119.0 119.0 3420349
## 998 2014-04-08 117.0 119.5 117.0 119.0 4733041
## 999 2014-04-07 117.5 118.0 116.5 117.5 5282088
## 1000 2014-04-03 118.5 119.0 117.5 118.5 4374998
## 1001 2014-04-02 120.5 121.0 119.0 120.0 5184525
## 1002 2014-04-01 119.0 119.5 118.5 119.5 4771525
## 1003 2014-03-31 118.0 118.5 116.5 118.5 5534157
## 1004 2014-03-28 116.0 117.5 115.5 117.5 5107685
## 1005 2014-03-27 114.5 116.0 114.0 116.0 3540171
## 1006 2014-03-26 115.5 116.0 114.5 115.5 4998096
## 1007 2014-03-25 111.5 113.5 111.5 113.5 4291637
## 1008 2014-03-24 111.5 112.5 111.5 112.5 3196166
## 1009 2014-03-21 114.0 114.0 112.0 112.5 6771863
## 1010 2014-03-20 113.0 113.5 112.0 112.0 5100473
## 1011 2014-03-19 114.5 115.0 113.5 114.5 3685469
## 1012 2014-03-18 114.5 115.0 113.5 114.5 4285098
## 1013 2014-03-17 114.5 115.0 113.0 114.0 3854652
## 1014 2014-03-14 115.0 115.5 114.0 115.0 5125110
## 1015 2014-03-13 116.5 117.5 115.5 116.5 6663482
## 1016 2014-03-12 112.5 113.0 112.0 113.0 2073574
## 1017 2014-03-11 113.5 114.5 113.5 114.0 3244303
## 1018 2014-03-10 114.5 114.5 112.5 113.0 4300152
## 1019 2014-03-07 114.0 115.0 113.5 114.5 7517972
## 1020 2014-03-06 110.0 113.5 110.0 113.0 7836671
## 1021 2014-03-05 108.5 110.0 108.5 110.0 6017474
## 1022 2014-03-04 108.0 108.0 107.5 107.5 5167595
## 1023 2014-03-03 108.0 108.0 106.5 108.0 5525614
## 1024 2014-02-27 107.5 108.0 107.5 108.0 5252486
## 1025 2014-02-26 107.5 108.0 107.0 107.5 3762870
## 1026 2014-02-25 107.5 108.0 106.5 108.0 3383578
## 1027 2014-02-24 107.5 108.0 106.0 107.0 3435892
## 1028 2014-02-21 107.0 107.5 107.0 107.5 3381313
## 1029 2014-02-20 106.5 107.0 106.0 106.5 3029358
## 1030 2014-02-19 108.0 108.0 107.0 108.0 2890247
## 1031 2014-02-18 108.5 108.5 107.5 108.0 2403989
## 1032 2014-02-17 108.0 108.5 107.5 108.5 3616741
## 1033 2014-02-14 106.5 107.5 106.5 107.5 4578772
## 1034 2014-02-13 105.0 106.0 105.0 105.0 2067833
## 1035 2014-02-12 105.0 105.5 104.5 105.0 2393466
## 1036 2014-02-11 104.5 105.0 104.0 104.5 2202428
## 1037 2014-02-10 104.0 104.5 103.0 103.0 2725146
## 1038 2014-02-07 103.5 104.5 103.0 104.0 5628605
## 1039 2014-02-06 101.0 103.0 101.0 102.0 7353853
## 1040 2014-02-05 102.0 102.0 100.5 100.5 14758773
## 1041 2014-01-27 106.0 106.5 104.0 105.0 6827768
## 1042 2014-01-24 107.0 108.5 107.0 108.0 3671261
## 1043 2014-01-23 108.5 108.5 107.5 107.5 3016772
## 1044 2014-01-22 106.0 107.5 106.0 107.5 3065077
## 1045 2014-01-21 108.5 108.5 106.0 106.5 2641278
## 1046 2014-01-20 107.0 108.5 107.0 107.5 2622483
## 1047 2014-01-17 108.0 108.5 107.0 107.5 5770838
## 1048 2014-01-16 106.0 107.5 106.0 107.0 5301040
## 1049 2014-01-15 104.0 106.0 104.0 105.0 5722579
## 1050 2014-01-14 102.5 103.5 102.0 103.5 2237630
## 1051 2014-01-13 103.0 103.5 102.5 103.0 2024728
## 1052 2014-01-10 102.0 102.5 101.5 102.0 3398855
## 1053 2014-01-09 102.5 103.0 100.5 101.0 6507402
## 1054 2014-01-08 103.0 104.5 102.5 104.0 3146834
## 1055 2014-01-07 102.5 103.0 102.0 102.0 1626808
## 1056 2014-01-06 102.0 103.0 102.0 102.5 2432746
## 1057 2014-01-03 103.0 103.0 102.0 102.5 3966419
## 1058 2014-01-02 105.0 105.5 103.5 104.5 1578861
## 1059 2013-12-31 105.5 106.0 105.0 105.5 2582678
## 1060 2013-12-30 104.0 106.0 104.0 106.0 4659245
## 1061 2013-12-27 103.5 104.5 103.0 104.5 2507211
## 1062 2013-12-26 103.0 104.0 103.0 104.0 704185
## 1063 2013-12-25 102.5 103.5 102.5 103.0 1008674
## 1064 2013-12-24 104.0 104.0 103.0 103.0 1454251
## 1065 2013-12-23 103.0 104.5 103.0 104.0 2940474
## 1066 2013-12-20 101.5 103.5 101.5 102.0 3848116
## 1067 2013-12-19 102.0 103.0 101.5 102.5 2839659
## 1068 2013-12-18 102.5 103.0 101.0 101.0 5633114
## 1069 2013-12-17 103.0 104.5 103.0 103.5 2719518
## 1070 2013-12-16 102.5 103.0 102.0 102.0 1920339
## 1071 2013-12-13 102.5 103.5 102.5 102.5 2910409
## 1072 2013-12-12 104.5 104.5 103.0 103.0 1896476
## 1073 2013-12-11 103.5 105.0 103.5 105.0 2572982
## 1074 2013-12-10 104.5 105.0 104.0 104.0 2332144
## 1075 2013-12-09 104.0 105.0 104.0 105.0 2508093
## 1076 2013-12-06 103.0 104.5 103.0 103.0 2607541
## 1077 2013-12-05 105.0 105.0 103.5 104.0 2621455
## 1078 2013-12-04 103.5 105.5 103.5 105.0 2458750
## 1079 2013-12-03 104.0 105.0 103.5 104.0 2280374
## 1080 2013-12-02 105.0 105.5 104.0 104.5 1978956
## 1081 2013-11-29 104.5 105.0 104.0 105.0 3609926
## 1082 2013-11-28 105.0 105.5 104.5 105.0 2390729
## 1083 2013-11-27 105.0 105.5 104.5 105.0 2295674
## 1084 2013-11-26 102.0 105.0 101.5 103.5 4661134
## 1085 2013-11-25 101.0 102.5 101.0 101.0 3142230
## 1086 2013-11-22 100.0 101.5 100.0 100.0 5735985
## 1087 2013-11-21 102.0 103.0 100.5 101.0 5719567
## 1088 2013-11-20 104.0 104.0 102.5 103.0 4694180
## 1089 2013-11-19 104.5 105.5 104.0 105.0 3613948
## 1090 2013-11-18 104.5 105.0 104.0 104.0 2641544
## 1091 2013-11-15 103.5 104.5 103.5 104.0 1999543
## 1092 2013-11-14 104.0 104.5 103.5 103.5 3113410
## 1093 2013-11-13 105.0 105.0 103.0 103.0 2772020
## 1094 2013-11-12 106.0 106.0 104.5 105.0 3328620
## 1095 2013-11-11 105.0 106.0 104.5 104.5 2253065
## 1096 2013-11-08 105.0 106.5 105.0 106.0 3238996
## 1097 2013-11-07 107.0 107.5 106.0 107.0 1700976
## 1098 2013-11-06 106.5 107.5 106.5 107.0 1762314
## 1099 2013-11-05 108.5 109.0 106.5 106.5 2187273
## 1100 2013-11-04 108.0 109.0 108.0 109.0 1047704
## 1101 2013-11-01 110.5 110.5 108.5 109.5 1190800
## 1102 2013-10-31 108.5 109.5 108.0 109.5 2455400
## 1103 2013-10-30 109.0 110.0 109.0 110.0 1819693
## 1104 2013-10-29 108.5 109.5 108.0 109.5 2344396
## 1105 2013-10-28 108.0 109.5 107.5 109.5 2317241
## 1106 2013-10-25 108.5 109.0 106.5 107.0 3878148
## 1107 2013-10-24 109.0 110.0 108.5 110.0 2327851
## 1108 2013-10-23 111.0 111.5 110.0 111.0 2423956
## 1109 2013-10-22 110.0 111.5 109.5 111.5 4260425
## 1110 2013-10-21 111.0 111.5 109.5 110.0 4476061
## 1111 2013-10-18 108.5 110.0 108.5 110.0 6421797
## 1112 2013-10-17 107.5 108.0 107.0 107.0 3025094
## 1113 2013-10-16 108.0 108.0 106.0 106.0 1977924
## 1114 2013-10-15 106.5 107.0 106.0 107.0 2295941
## 1115 2013-10-14 106.5 106.5 105.0 105.0 1967562
## 1116 2013-10-11 105.0 107.5 105.0 106.5 6018295
## 1117 2013-10-09 104.0 105.5 103.0 105.0 2327573
## 1118 2013-10-08 103.5 105.5 103.0 105.0 2209149
## 1119 2013-10-07 103.5 104.0 102.0 103.0 2151500
## 1120 2013-10-04 104.5 105.0 103.5 104.0 2075117
## 1121 2013-10-03 103.5 106.0 103.0 105.0 5324566
## 1122 2013-10-02 103.5 103.5 102.0 103.0 1464935
## 1123 2013-10-01 100.5 102.5 100.5 101.5 2291119
## 1124 2013-09-30 100.5 102.0 100.0 100.5 4566948
## 1125 2013-09-27 103.5 103.5 102.0 103.0 2696233
## 1126 2013-09-26 103.5 103.5 101.5 101.5 2360282
## 1127 2013-09-25 104.5 104.5 103.0 103.0 3281063
## 1128 2013-09-24 105.0 105.5 104.0 105.0 3010503
## 1129 2013-09-23 103.0 106.0 102.5 105.5 5386368
## 1130 2013-09-18 105.0 105.5 103.0 103.0 2934899
## 1131 2013-09-17 105.5 105.5 104.5 105.5 2678017
## 1132 2013-09-16 104.0 105.5 104.0 105.5 4271621
## 1133 2013-09-14 102.5 103.5 102.0 102.5 537513
## 1134 2013-09-13 102.5 103.0 102.0 102.5 2292336
## 1135 2013-09-12 103.0 104.5 103.0 103.5 3411852
## 1136 2013-09-11 103.0 104.5 102.5 104.5 4197407
## 1137 2013-09-10 103.0 104.5 102.5 104.5 3877481
## 1138 2013-09-09 102.5 103.0 101.0 103.0 3343037
## 1139 2013-09-06 102.0 102.0 101.0 102.0 2517459
## 1140 2013-09-05 100.5 101.5 100.0 101.5 3043025
## 1141 2013-09-04 100.5 101.5 100.0 100.5 2540222
## 1142 2013-09-03 103.0 103.0 101.5 102.0 3196342
## 1143 2013-09-02 100.0 102.0 99.6 102.0 3120033
## 1144 2013-08-30 99.6 100.5 98.8 100.5 3755826
## 1145 2013-08-29 96.9 98.9 96.9 98.7 3626247
## 1146 2013-08-28 95.6 97.3 95.1 96.8 3345731
## 1147 2013-08-27 96.0 96.8 95.6 95.6 2164608
## 1148 2013-08-26 97.6 97.6 96.1 96.8 1810213
## 1149 2013-08-23 95.7 97.3 95.5 97.0 4301443
## 1150 2013-08-22 93.0 94.9 92.9 94.5 5666453
## 1151 2013-08-20 95.2 95.4 94.4 94.4 3966689
## 1152 2013-08-19 95.5 96.1 95.3 95.5 4696373
## 1153 2013-08-16 95.4 97.5 95.2 96.5 3632993
## 1154 2013-08-15 96.4 96.4 95.3 96.0 4096104
## 1155 2013-08-14 96.0 97.3 95.8 96.8 4016591
## 1156 2013-08-13 96.0 97.4 96.0 97.2 3332838
## 1157 2013-08-12 96.4 96.7 95.6 96.0 3215946
## 1158 2013-08-09 100.0 100.0 96.4 96.4 4585250
## 1159 2013-08-08 96.0 97.1 95.3 96.4 5383172
## 1160 2013-08-07 98.5 98.5 97.0 97.0 4484924
## 1161 2013-08-06 100.5 100.5 98.6 98.8 4242132
## 1162 2013-08-05 100.0 101.5 99.9 100.5 2349054
## 1163 2013-08-02 102.5 103.0 100.0 100.5 2845201
## 1164 2013-08-01 102.0 102.0 100.0 100.5 2820284
## 1165 2013-07-31 101.5 103.0 101.0 102.5 3780911
## 1166 2013-07-30 100.5 102.5 100.5 102.0 3442691
## 1167 2013-07-29 100.0 101.5 100.0 100.0 3858681
## 1168 2013-07-26 103.0 103.0 101.0 102.5 3249115
## 1169 2013-07-25 102.0 103.5 101.0 102.5 3736991
## 1170 2013-07-24 100.5 103.0 100.0 102.0 5938843
## 1171 2013-07-23 98.5 101.5 98.5 100.0 8570434
## 1172 2013-07-22 98.0 98.4 96.9 97.0 8507253
## 1173 2013-07-19 99.4 99.7 98.2 98.2 11646299
## 1174 2013-07-18 107.5 108.0 105.5 105.5 4726321
## 1175 2013-07-17 108.0 109.0 107.0 109.0 3949597
## 1176 2013-07-16 108.5 109.0 107.0 108.0 3873702
## 1177 2013-07-15 108.5 109.5 108.0 109.5 3613351
## 1178 2013-07-12 109.5 110.0 108.5 110.0 3400555
## 1179 2013-07-11 107.5 109.5 107.5 109.5 6105104
## 1180 2013-07-10 104.5 107.0 104.5 106.0 2339157
## 1181 2013-07-09 104.5 106.5 103.5 106.0 3598172
## 1182 2013-07-08 107.0 108.0 104.5 105.0 3465017
## 1183 2013-07-05 107.5 109.5 107.0 109.0 3076587
## 1184 2013-07-04 106.5 107.0 106.0 107.0 2592968
## 1185 2013-07-03 107.0 107.0 105.5 107.0 4763771
## 1186 2013-07-02 109.0 110.0 108.5 110.0 4900677
## 1187 2013-07-01 109.0 109.5 108.0 108.0 5610835
## 1188 2013-06-28 106.0 111.0 105.0 111.0 8033347
## 1189 2013-06-27 103.0 105.0 103.0 104.5 4743521
## 1190 2013-06-26 103.0 104.0 101.5 101.5 5635961
## 1191 2013-06-25 101.0 103.0 101.0 101.0 3297163
## 1192 2013-06-24 102.5 102.5 100.0 101.0 5451854
## 1193 2013-06-21 102.0 103.5 101.5 103.5 3984915
## 1194 2013-06-20 105.0 105.5 103.5 104.0 3129909
## 1195 2013-06-19 106.0 106.5 105.0 105.5 2334582
## 1196 2013-06-18 105.0 106.5 104.5 106.5 3171158
## 1197 2013-06-17 105.5 106.0 105.0 106.0 2427944
## 1198 2013-06-14 105.0 106.0 104.5 106.0 4344673
## 1199 2013-06-13 106.0 107.0 104.0 104.5 6350813
## 1200 2013-06-11 110.0 110.0 108.0 108.0 3785273
## 1201 2013-06-10 110.0 110.0 108.0 108.5 2305218
## 1202 2013-06-07 108.0 109.5 108.0 108.5 3599967
## 1203 2013-06-06 108.5 109.5 107.0 107.5 3418066
## 1204 2013-06-05 109.5 110.5 108.5 109.5 2560977
## 1205 2013-06-04 109.0 110.0 107.5 109.0 2987302
## 1206 2013-06-03 108.0 108.5 106.5 107.5 3858216
## 1207 2013-05-31 111.5 111.5 109.0 109.5 4086301
## 1208 2013-05-30 111.0 111.5 109.5 110.0 3987923
## 1209 2013-05-29 110.5 112.0 110.5 111.0 1865802
## 1210 2013-05-28 112.0 112.5 109.5 109.5 2373379
## 1211 2013-05-27 109.5 112.0 109.5 112.0 2129099
## 1212 2013-05-24 109.5 110.5 108.5 109.5 2929037
## 1213 2013-05-23 110.5 111.5 108.0 108.0 5105373
## 1214 2013-05-22 112.5 113.5 111.0 112.0 3511425
## 1215 2013-05-21 113.0 113.5 112.0 112.5 1941365
## 1216 2013-05-20 112.5 114.0 112.5 114.0 1644362
## 1217 2013-05-17 112.0 113.5 111.5 113.5 2177150
## 1218 2013-05-16 115.0 116.0 113.0 113.5 5053068
## 1219 2013-05-15 115.0 116.0 113.5 115.0 2996395
## 1220 2013-05-14 115.5 116.5 115.0 115.5 3224147
## 1221 2013-05-13 115.0 115.5 114.0 114.5 2094696
## 1222 2013-05-10 115.0 115.0 113.5 114.5 3146084
## 1223 2013-05-09 116.0 116.0 114.5 115.0 3156203
## 1224 2013-05-08 112.5 115.0 112.5 114.5 4684354
## 1225 2013-05-07 112.0 113.0 111.0 112.5 2188657
## 1226 2013-05-06 111.5 111.5 110.5 111.5 2156914
## 1227 2013-05-03 111.5 112.5 110.0 110.0 4072081
## 1228 2013-05-02 110.0 111.0 109.0 110.5 4127395
## 1229 2013-04-30 108.5 109.5 108.5 109.5 3757018
## 1230 2013-04-29 108.5 108.5 107.5 108.0 2279130
## 1231 2013-04-26 107.0 109.0 107.0 108.5 3957554
## 1232 2013-04-25 106.0 107.0 105.5 107.0 2792181
## 1233 2013-04-24 106.5 107.0 104.5 106.0 3753132
## 1234 2013-04-23 106.5 107.5 105.5 106.0 4886887
## 1235 2013-04-22 108.5 109.5 107.5 108.5 7859372
## 1236 2013-04-19 105.5 106.5 105.5 106.5 7110037
## 1237 2013-04-18 100.0 101.0 99.4 99.9 3236988
## 1238 2013-04-17 101.5 101.5 99.7 100.0 3541638
## 1239 2013-04-16 98.2 101.0 98.2 100.5 3329987
## 1240 2013-04-15 100.5 101.0 99.1 99.4 2327965
## 1241 2013-04-12 101.5 101.5 100.0 100.5 1908200
## 1242 2013-04-11 99.0 101.5 98.8 101.5 5438597
## 1243 2013-04-10 98.8 98.8 97.7 98.3 3423290
## 1244 2013-04-09 98.0 98.5 97.5 97.5 3973136
## 1245 2013-04-08 99.0 99.5 98.5 98.5 5337852
## 1246 2013-04-03 101.5 101.5 100.0 100.5 2655444
## 1247 2013-04-02 100.5 101.0 99.8 100.5 2242499
## 1248 2013-04-01 101.0 102.0 100.5 101.0 1620846
## 1249 2013-03-29 100.0 101.0 99.8 100.5 1907250
## 1250 2013-03-28 100.0 100.5 99.3 100.0 2781072
## 1251 2013-03-27 99.0 100.5 98.8 100.5 2569676
## 1252 2013-03-26 99.2 99.4 98.8 99.0 2698733
## 1253 2013-03-25 99.9 100.5 99.2 99.5 2426244
## 1254 2013-03-22 98.6 99.1 98.0 98.0 4420119
## 1255 2013-03-21 98.8 100.5 98.7 98.7 5601484
## 1256 2013-03-20 99.5 99.5 98.8 98.8 6110535
## 1257 2013-03-19 101.0 101.5 99.6 100.0 4751895
## 1258 2013-03-18 102.0 102.0 100.5 100.5 4457578
## 1259 2013-03-15 105.0 105.0 103.0 103.0 3696617
## 1260 2013-03-14 104.0 104.5 103.0 104.0 3435728
## 1261 2013-03-13 102.5 105.0 102.0 104.5 6009069
## 1262 2013-03-12 102.0 103.0 101.5 102.5 3075447
## 1263 2013-03-11 102.0 104.0 102.0 102.0 3706837
## 1264 2013-03-08 103.0 104.5 102.0 103.5 4753124
## 1265 2013-03-07 103.5 104.0 103.0 103.0 2150594
## 1266 2013-03-06 104.0 104.5 103.0 104.0 3944093
## 1267 2013-03-05 103.5 104.0 102.5 104.0 5798481
## 1268 2013-03-04 104.5 104.5 101.5 102.0 5652061
## 1269 2013-03-01 103.0 105.0 102.5 105.0 3651665
## 1270 2013-02-27 102.0 104.5 101.0 104.5 8385327
## 1271 2013-02-26 103.5 105.0 102.5 103.5 4006612
## 1272 2013-02-25 106.5 107.0 105.0 105.0 3938988
## 1273 2013-02-23 106.5 107.5 106.0 107.0 1083856
## 1274 2013-02-22 106.0 106.5 105.0 105.5 4188441
## 1275 2013-02-21 108.5 108.5 107.0 107.0 3287642
## 1276 2013-02-20 108.5 109.5 108.0 109.0 4558605
## 1277 2013-02-19 108.5 108.5 106.5 107.0 2372380
## 1278 2013-02-18 107.0 108.5 106.5 107.0 6895059
## 1279 2013-02-06 103.5 105.0 103.0 105.0 3369267
## 1280 2013-02-05 103.0 103.0 101.5 103.0 1832150
## 1281 2013-02-04 102.0 103.0 102.0 103.0 3618099
## 1282 2013-02-01 101.5 101.5 100.5 101.5 2343091
## 1283 2013-01-31 100.5 101.5 100.0 101.5 4266277
## 1284 2013-01-30 102.0 102.0 100.5 101.5 2923728
## 1285 2013-01-29 100.0 101.5 99.7 101.0 3624867
## 1286 2013-01-28 98.7 99.5 98.6 99.3 2893310
## 1287 2013-01-25 99.9 99.9 98.0 99.0 4801806
## 1288 2013-01-24 100.0 100.5 99.2 99.9 4059543
## 1289 2013-01-23 101.5 101.5 100.0 101.0 3111421
## 1290 2013-01-22 101.0 101.0 99.9 101.0 2205121
## 1291 2013-01-21 101.0 101.0 100.0 100.5 1738510
## 1292 2013-01-18 101.5 101.5 100.5 101.5 5045047
## 1293 2013-01-17 100.5 101.0 98.5 99.3 4042971
## 1294 2013-01-16 100.5 100.5 99.2 99.2 3543926
## 1295 2013-01-15 102.0 102.0 99.8 100.5 3620754
## 1296 2013-01-14 101.0 102.0 100.0 102.0 2375657
## 1297 2013-01-11 101.5 101.5 100.5 101.0 2319676
## 1298 2013-01-10 99.9 101.0 99.5 101.0 4133510
## 1299 2013-01-09 100.5 100.5 99.2 100.0 2638484
## 1300 2013-01-08 99.6 100.0 98.9 99.7 3100842
## 1301 2013-01-07 101.0 101.0 99.1 100.5 4237770
## 1302 2013-01-04 100.5 101.5 100.0 101.5 3980404
## 1303 2013-01-03 100.5 102.0 100.0 101.0 4472175
## 1304 2013-01-02 97.6 99.9 97.1 99.6 4021305
## 1305 2012-12-28 96.8 97.0 95.9 97.0 2483314
## 1306 2012-12-27 96.2 96.7 95.5 95.6 2319460
## 1307 2012-12-26 96.5 97.3 96.0 96.0 1164164
## 1308 2012-12-25 96.0 97.3 95.6 96.5 1543166
## 1309 2012-12-24 96.0 96.4 95.1 95.2 1646053
## 1310 2012-12-22 95.7 96.2 95.0 95.7 803332
## 1311 2012-12-21 95.1 96.5 94.6 94.8 3303552
## 1312 2012-12-20 96.1 96.9 95.1 96.0 3409134
## 1313 2012-12-19 96.7 97.3 96.2 97.3 2701305
## 1314 2012-12-18 95.0 96.7 95.0 96.7 3409271
## 1315 2012-12-17 96.4 97.7 96.2 97.0 4526486
## 1316 2012-12-14 98.2 98.6 97.5 98.4 3352051
## 1317 2012-12-13 98.3 99.4 97.9 99.2 4499194
## 1318 2012-12-12 98.3 98.5 97.2 98.4 4143973
## 1319 2012-12-11 97.3 98.3 96.7 98.3 3972651
## 1320 2012-12-10 97.9 98.0 96.5 96.5 2996197
## 1321 2012-12-07 97.1 98.5 97.1 98.1 3636256
## 1322 2012-12-06 96.6 96.9 96.1 96.6 3236360
## 1323 2012-12-05 94.6 97.1 94.6 96.9 5812102
## 1324 2012-12-04 96.9 97.2 95.3 96.6 4147396
## 1325 2012-12-03 98.3 98.6 96.8 97.9 4311339
## 1326 2012-11-30 96.0 98.8 95.9 98.7 7526711
## 1327 2012-11-29 96.0 97.3 95.5 96.5 5454664
## 1328 2012-11-28 95.8 96.1 95.3 95.9 6054404
## 1329 2012-11-27 94.6 96.3 94.3 96.3 4866242
## 1330 2012-11-26 95.5 95.6 94.9 95.3 3812895
## 1331 2012-11-23 91.6 95.5 91.5 95.5 6044533
## 1332 2012-11-22 90.3 91.3 90.3 91.3 1891305
## 1333 2012-11-21 90.3 90.9 89.2 90.5 2730418
## 1334 2012-11-20 90.0 90.4 89.8 90.4 1936745
## 1335 2012-11-19 89.7 90.5 89.7 90.0 2163253
## 1336 2012-11-16 89.2 90.3 89.2 90.2 3035657
## 1337 2012-11-15 89.9 90.6 89.0 90.2 2259689
## 1338 2012-11-14 90.0 90.9 89.5 90.5 2811100
## 1339 2012-11-13 91.0 91.0 89.3 90.3 3757312
## 1340 2012-11-12 91.0 91.8 90.6 91.3 2735085
## 1341 2012-11-09 90.3 90.9 89.5 90.8 3471644
## 1342 2012-11-08 90.8 90.9 89.9 90.5 3613655
## 1343 2012-11-07 90.5 91.0 90.0 91.0 2001256
## 1344 2012-11-06 90.6 90.6 89.7 90.4 2380951
## 1345 2012-11-05 89.9 90.3 88.8 90.3 2830445
## 1346 2012-11-02 90.0 90.1 89.5 89.9 3513507
## 1347 2012-11-01 88.6 89.2 87.7 89.2 3184280
## 1348 2012-10-31 88.0 88.8 87.9 88.7 2302953
## 1349 2012-10-30 88.8 89.0 87.7 88.0 2684852
## 1350 2012-10-29 88.3 89.1 87.6 88.1 3334640
## 1351 2012-10-26 86.5 88.3 86.3 87.3 5948363
## 1352 2012-10-25 85.4 85.6 84.5 84.8 3351046
## 1353 2012-10-24 85.1 86.4 85.1 85.4 2592332
## 1354 2012-10-23 85.9 86.3 85.6 85.7 1390373
## 1355 2012-10-22 86.3 86.3 85.6 86.0 1824507
## 1356 2012-10-19 86.2 87.3 86.2 86.7 2398661
## 1357 2012-10-18 87.0 88.2 87.0 88.1 2022320
## 1358 2012-10-17 87.8 88.0 86.5 87.4 3129200
## 1359 2012-10-16 86.7 87.5 86.7 87.5 2605643
## 1360 2012-10-15 86.1 86.4 85.4 86.4 1688835
## 1361 2012-10-12 85.6 86.3 85.3 86.3 2125553
## 1362 2012-10-11 85.1 85.7 84.8 85.5 6639961
## 1363 2012-10-09 87.2 88.5 87.1 87.1 5366536
## 1364 2012-10-08 91.0 91.0 89.0 89.1 3649042
## 1365 2012-10-05 91.0 91.3 90.4 91.0 3837332
## 1366 2012-10-04 89.9 90.6 89.5 90.6 3586441
## 1367 2012-10-03 89.6 89.9 89.3 89.8 2921835
## 1368 2012-10-02 89.2 89.8 88.9 89.6 3192852
## 1369 2012-10-01 89.2 89.2 88.3 88.9 3384611
## 1370 2012-09-28 88.6 89.8 88.5 89.8 6323799
## 1371 2012-09-27 86.8 87.8 86.2 87.6 4843917
## 1372 2012-09-26 85.4 86.4 85.0 86.4 3169379
## 1373 2012-09-25 85.8 86.2 85.7 85.9 3087036
## 1374 2012-09-24 85.7 86.4 85.1 86.1 2603853
## 1375 2012-09-21 86.0 86.5 85.3 85.7 4388915
## 1376 2012-09-20 86.0 86.0 85.1 85.3 2290804
## 1377 2012-09-19 85.9 86.4 85.1 86.0 3729693
## 1378 2012-09-18 86.5 86.5 85.4 85.7 3083461
## 1379 2012-09-17 86.9 87.0 85.8 86.5 2297103
## 1380 2012-09-14 85.6 86.5 85.5 86.5 4492192
## 1381 2012-09-13 84.5 85.0 84.5 85.0 2513615
## 1382 2012-09-12 84.5 84.9 84.5 84.5 3174842
## 1383 2012-09-11 84.2 84.7 84.0 84.4 2665308
## 1384 2012-09-10 83.3 83.6 83.2 83.5 1924726
## 1385 2012-09-07 83.0 83.9 82.8 83.8 3711680
## 1386 2012-09-06 82.8 82.8 81.0 81.1 2109313
## 1387 2012-09-05 83.0 83.3 81.9 82.0 3564118
## 1388 2012-09-04 84.0 84.0 83.5 84.0 1816070
## 1389 2012-09-03 83.5 83.9 82.8 83.9 1738755
## 1390 2012-08-31 82.4 83.3 82.4 83.3 1125345
## 1391 2012-08-30 82.3 83.2 82.3 82.7 3815781
## 1392 2012-08-29 82.6 83.0 82.1 82.7 1527787
## 1393 2012-08-28 82.3 83.4 82.0 82.4 2674091
## 1394 2012-08-27 82.9 83.5 82.4 83.0 2135558
## 1395 2012-08-24 82.3 82.3 81.7 82.0 2092455
## 1396 2012-08-23 82.4 82.8 82.2 82.7 1845924
## 1397 2012-08-22 83.1 83.4 81.9 82.4 2769712
## 1398 2012-08-21 82.7 83.9 82.7 83.6 3079580
## 1399 2012-08-20 82.7 82.7 81.9 82.4 2141031
## 1400 2012-08-17 83.0 83.2 82.0 82.0 2483333
## 1401 2012-08-16 83.0 83.4 82.5 82.9 2345531
## 1402 2012-08-15 83.7 83.7 82.5 83.0 2278936
## 1403 2012-08-14 83.0 83.8 82.8 83.2 2775746
## 1404 2012-08-13 83.8 83.8 82.5 82.7 2512606
## 1405 2012-08-10 82.3 82.4 81.2 82.0 2459026
## 1406 2012-08-09 81.3 82.3 81.3 82.3 4445413
## 1407 2012-08-08 81.9 81.9 80.1 80.5 3253978
## 1408 2012-08-07 81.3 81.4 80.7 81.4 3260023
## 1409 2012-08-06 80.9 81.5 80.7 80.9 4737485
## 1410 2012-08-03 79.5 80.1 79.2 79.8 3765618
## 1411 2012-08-01 80.1 80.5 79.4 80.0 3474791
## 1412 2012-07-31 78.5 81.0 78.5 81.0 5481800
## 1413 2012-07-30 80.0 80.4 78.8 79.0 4085852
## 1414 2012-07-27 77.9 79.4 77.2 79.3 5755818
## 1415 2012-07-26 75.7 76.7 75.2 76.3 3584528
## 1416 2012-07-25 75.0 75.2 74.4 74.6 5425813
## 1417 2012-07-24 74.3 74.8 74.2 74.8 2978393
## 1418 2012-07-23 75.1 75.1 73.8 74.3 4279480
## 1419 2012-07-20 76.4 77.0 76.2 76.7 3822074
## 1420 2012-07-19 76.8 78.0 76.8 77.5 4805418
## 1421 2012-07-18 75.0 75.3 74.8 74.8 2902077
## 1422 2012-07-17 74.5 75.2 74.5 74.8 3881908
## 1423 2012-07-16 76.3 76.3 75.5 75.5 3183842
## 1424 2012-07-13 74.9 76.0 74.5 75.8 3949873
## 1425 2012-07-12 77.5 77.5 75.7 75.7 5287048
## 1426 2012-07-11 78.1 78.3 77.4 78.1 4631169
## 1427 2012-07-10 79.4 79.9 78.6 79.1 2941486
## 1428 2012-07-09 79.9 80.3 79.6 80.0 3605866
## 1429 2012-07-06 81.0 81.0 80.1 80.9 3078339
## 1430 2012-07-05 82.0 82.0 80.7 81.0 2314621
## 1431 2012-07-04 82.1 82.1 81.2 81.2 3605551
## 1432 2012-07-03 83.6 84.9 83.4 84.2 5126363
## 1433 2012-07-02 81.5 83.7 81.5 83.3 5332946
## 1434 2012-06-29 79.6 81.3 79.3 81.3 4096918
## 1435 2012-06-28 80.0 80.3 79.5 79.9 2646450
## 1436 2012-06-27 78.3 79.5 78.2 79.3 2587646
## 1437 2012-06-26 79.0 79.1 78.3 78.7 3335562
## 1438 2012-06-25 80.8 80.8 79.1 79.6 3248323
## 1439 2012-06-22 80.0 81.0 79.9 80.1 2497597
## 1440 2012-06-21 80.5 81.0 80.3 80.6 2180167
## 1441 2012-06-20 81.3 81.6 80.5 81.6 2859663
## 1442 2012-06-19 80.9 80.9 80.0 80.5 2320950
## 1443 2012-06-18 80.0 81.0 80.0 80.8 2717873
## 1444 2012-06-15 79.2 79.5 78.1 78.1 7069335
## 1445 2012-06-14 80.0 80.2 79.1 79.2 2482608
## 1446 2012-06-13 80.8 80.8 79.5 80.0 2582028
## 1447 2012-06-12 78.5 79.8 78.5 79.4 3037170
## 1448 2012-06-11 79.9 80.5 79.6 80.4 3250468
## 1449 2012-06-08 77.0 78.7 77.0 77.9 2798411
## 1450 2012-06-07 79.4 79.8 78.6 79.8 3776663
## 1451 2012-06-06 78.2 78.6 77.5 77.8 2628718
## 1452 2012-06-05 77.5 78.2 77.2 78.2 2925430
## 1453 2012-06-04 76.5 77.1 76.1 76.5 5061653
## 1454 2012-06-01 81.7 81.7 79.9 79.9 5410039
## 1455 2012-05-31 80.5 85.1 79.7 85.1 7390037
## 1456 2012-05-30 81.6 82.0 80.3 81.7 6157496
## 1457 2012-05-29 82.5 83.2 82.0 82.3 3394538
## 1458 2012-05-28 80.0 81.7 79.8 81.6 2436773
## 1459 2012-05-25 79.8 80.5 79.2 80.0 2261307
## 1460 2012-05-24 78.9 80.6 78.1 80.6 3261360
## 1461 2012-05-23 81.0 81.2 79.0 79.1 5063881
## 1462 2012-05-22 82.7 82.9 82.2 82.2 2803415
## 1463 2012-05-21 81.0 82.8 81.0 82.5 2663938
## 1464 2012-05-18 83.9 83.9 81.8 81.8 4778051
## 1465 2012-05-17 84.8 85.1 84.1 85.1 2851034
## 1466 2012-05-16 84.2 84.5 83.4 83.4 5493667
## 1467 2012-05-15 85.4 85.7 84.1 85.5 2619349
## 1468 2012-05-14 84.8 85.5 84.8 85.4 1204830
## 1469 2012-05-11 85.7 85.7 84.5 85.5 2855459
## 1470 2012-05-10 85.0 85.7 84.3 85.3 2440645
## 1471 2012-05-09 83.9 85.2 83.5 84.6 3480408
## 1472 2012-05-08 86.0 86.0 84.4 84.4 3886159
## 1473 2012-05-07 86.5 86.5 85.0 85.6 4093394
## 1474 2012-05-04 86.7 88.0 86.7 87.6 3300691
## 1475 2012-05-03 88.4 89.0 87.9 88.9 2456490
## 1476 2012-05-02 87.0 88.9 86.8 88.4 4247465
## 1477 2012-04-30 86.3 87.4 85.7 86.8 4118428
## 1478 2012-04-27 87.0 89.8 86.0 86.0 10407797
## 1479 2012-04-26 84.2 84.2 83.5 84.0 1764147
## 1480 2012-04-25 84.9 84.9 83.9 84.2 4186151
## 1481 2012-04-24 83.8 84.6 83.6 84.6 2803923
## 1482 2012-04-23 84.2 84.6 83.4 84.3 1709685
## 1483 2012-04-20 85.0 85.7 84.1 84.3 2479584
## 1484 2012-04-19 84.5 85.8 84.3 85.8 2694072
## 1485 2012-04-18 85.0 85.0 84.4 85.0 2781054
## 1486 2012-04-17 84.9 84.9 83.4 83.8 2483241
## 1487 2012-04-16 84.6 85.0 83.8 84.9 1673137
## 1488 2012-04-13 83.4 85.0 82.7 84.9 3771618
## 1489 2012-04-12 82.5 82.7 81.5 82.6 3237580
## 1490 2012-04-11 82.0 83.5 81.7 82.4 3375902
## 1491 2012-04-10 83.1 83.5 81.8 82.0 2750638
## 1492 2012-04-09 82.0 83.6 82.0 83.0 1924345
## 1493 2012-04-06 84.0 84.0 83.1 83.8 2850370
## 1494 2012-04-05 83.3 84.0 83.1 83.1 3981055
## 1495 2012-04-03 85.0 85.0 83.8 85.0 2645056
## 1496 2012-04-02 84.8 85.2 84.0 85.1 2004877
## 1497 2012-03-30 83.7 84.9 82.9 84.9 3674698
## 1498 2012-03-29 84.5 84.5 83.4 84.1 4189509
## 1499 2012-03-28 86.5 86.5 84.6 85.5 2423045
## 1500 2012-03-27 85.0 85.8 84.3 85.8 3278129
## 1501 2012-03-26 85.1 85.1 82.5 83.6 4994280
## 1502 2012-03-23 85.0 85.4 84.4 85.4 2502726
## 1503 2012-03-22 85.0 85.7 84.3 85.2 3237513
## 1504 2012-03-21 84.8 85.2 83.8 84.9 6457880
## 1505 2012-03-20 84.0 84.1 82.8 83.2 2514856
## 1506 2012-03-19 83.7 84.2 82.4 83.7 3122021
## 1507 2012-03-16 83.2 83.8 81.1 81.1 2408154
## 1508 2012-03-15 83.2 83.2 82.5 83.2 2539385
## 1509 2012-03-14 82.4 83.2 82.0 83.2 5249394
## 1510 2012-03-13 80.6 81.3 80.1 81.3 3890801
## 1511 2012-03-12 80.2 80.5 79.6 80.0 2324707
## 1512 2012-03-09 79.5 80.0 78.8 80.0 1808011
## 1513 2012-03-08 79.8 80.2 79.2 79.7 2946735
## 1514 2012-03-07 79.0 79.3 78.7 79.1 2397736
## 1515 2012-03-06 79.6 79.6 78.3 79.5 2190390
## 1516 2012-03-05 78.7 79.6 78.5 78.9 1800270
## 1517 2012-03-03 79.1 79.6 79.1 79.3 582165
## 1518 2012-03-02 80.0 80.1 79.2 80.0 1903985
## 1519 2012-03-01 81.0 81.0 80.1 80.1 1710834
## 1520 2012-02-29 80.2 81.1 79.4 81.1 6287744
## 1521 2012-02-24 77.5 79.1 77.2 79.1 3210715
## 1522 2012-02-23 79.0 79.4 77.7 78.1 4682232
## 1523 2012-02-22 79.9 80.0 79.0 79.7 3272417
## 1524 2012-02-21 80.0 80.0 79.3 80.0 2246058
## 1525 2012-02-20 80.6 80.8 79.7 80.0 2546631
## 1526 2012-02-17 79.5 81.1 79.4 80.0 6309497
## 1527 2012-02-16 78.5 78.9 78.0 78.5 4698032
## 1528 2012-02-15 77.6 78.5 77.6 78.5 5588585
## 1529 2012-02-14 77.1 77.4 76.2 77.3 3233674
## 1530 2012-02-13 76.4 77.1 76.2 76.6 2786463
## 1531 2012-02-10 78.0 78.0 76.7 76.9 3664265
## 1532 2012-02-09 77.0 78.0 76.5 78.0 5478464
## 1533 2012-02-08 77.5 77.5 76.9 77.5 2750531
## 1534 2012-02-07 77.5 77.5 76.8 77.4 2317939
## 1535 2012-02-06 77.3 77.5 76.6 77.4 3677168
## 1536 2012-02-04 76.4 76.7 76.0 76.5 1751843
## 1537 2012-02-03 76.3 76.4 75.6 76.2 3748745
## 1538 2012-02-02 77.5 77.5 76.1 76.8 4139408
## 1539 2012-02-01 77.5 77.7 76.7 77.0 3635637
## 1540 2012-01-31 78.1 78.5 76.3 78.5 6835438
## 1541 2012-01-30 78.0 79.5 77.2 78.7 11573236
## 1542 2012-01-18 75.9 76.7 75.6 76.7 4356043
## 1543 2012-01-17 75.9 75.9 74.9 75.6 3316459
## 1544 2012-01-16 76.1 76.9 74.6 75.3 2844327
## 1545 2012-01-13 77.2 78.0 77.0 77.5 4483257
## 1546 2012-01-12 76.7 77.1 76.5 77.0 4267532
## 1547 2012-01-11 76.8 77.0 76.1 76.5 3388935
## 1548 2012-01-10 76.0 76.5 75.8 76.5 4729116
## 1549 2012-01-09 75.2 75.6 74.6 75.6 2074522
## 1550 2012-01-06 75.9 75.9 74.9 75.6 2269477
## 1551 2012-01-05 76.0 76.0 75.3 76.0 2126987
## 1552 2012-01-04 76.1 76.1 75.5 75.8 2584468
## 1553 2012-01-03 75.5 75.9 75.2 75.7 1605207
## 1554 2012-01-02 75.0 75.4 74.7 75.0 1121673
## 1555 2011-12-30 75.7 75.9 74.9 75.8 2438168
## 1556 2011-12-29 75.4 75.9 75.2 75.8 1874609
## 1557 2011-12-28 75.3 75.7 74.9 75.7 1508958
## 1558 2011-12-27 74.8 75.5 74.7 75.5 1099512
## 1559 2011-12-26 75.4 75.5 74.7 75.0 851319
## 1560 2011-12-23 75.8 75.8 74.6 75.4 2273984
## 1561 2011-12-22 75.3 75.5 74.4 75.0 2005804
## 1562 2011-12-21 74.9 76.0 74.1 76.0 4064704
## 1563 2011-12-20 72.9 72.9 72.0 72.8 1980397
## 1564 2011-12-19 73.5 73.5 72.0 72.5 1775484
## 1565 2011-12-16 72.8 73.4 72.5 72.7 1648285
## 1566 2011-12-15 74.1 74.1 72.5 72.5 2631665
## 1567 2011-12-14 75.1 75.1 73.9 74.5 2175049
## 1568 2011-12-13 73.7 75.2 73.7 75.2 2336178
## 1569 2011-12-12 75.1 75.2 74.1 75.0 2132391
## 1570 2011-12-09 76.0 76.0 73.5 74.1 3130202
## 1571 2011-12-08 76.7 76.7 75.3 76.3 2402903
## 1572 2011-12-07 76.5 76.5 75.4 76.4 3116218
## 1573 2011-12-06 76.3 76.3 75.3 75.4 3269856
## 1574 2011-12-05 76.0 76.3 75.4 76.3 2288354
## 1575 2011-12-02 76.6 76.8 75.4 76.0 2686346
## 1576 2011-12-01 75.5 76.6 75.5 76.6 5997370
## 1577 2011-11-30 74.0 74.6 73.0 74.6 3805245
## 1578 2011-11-29 73.8 74.2 72.9 73.6 3140182
## 1579 2011-11-28 71.6 74.4 71.6 73.6 2569937
## 1580 2011-11-25 73.0 73.3 71.3 71.6 2767184
## 1581 2011-11-24 72.9 73.2 72.6 72.8 3471133
## 1582 2011-11-23 74.0 74.5 73.1 73.4 3226833
## 1583 2011-11-22 75.2 75.2 73.8 74.0 3531646
## 1584 2011-11-21 73.2 73.9 73.0 73.3 1717903
## 1585 2011-11-18 75.0 75.2 73.7 74.2 4211472
## 1586 2011-11-17 75.2 76.0 74.8 75.7 2635499
## 1587 2011-11-16 76.0 76.0 74.9 75.4 3020327
## 1588 2011-11-15 75.5 76.0 75.0 76.0 2803144
## 1589 2011-11-14 74.9 76.0 74.6 75.9 4810725
## 1590 2011-11-11 73.5 73.6 72.6 73.4 2013821
## 1591 2011-11-10 72.5 73.4 72.5 72.6 3601249
## 1592 2011-11-09 74.9 74.9 74.1 74.1 1531225
## 1593 2011-11-08 75.0 75.0 74.0 74.5 1599495
## 1594 2011-11-07 75.0 75.2 74.3 75.0 2219387
## 1595 2011-11-04 74.5 74.9 73.9 74.6 4277362
## 1596 2011-11-03 74.2 74.2 72.3 73.5 3177895
## 1597 2011-11-02 73.1 73.9 72.4 73.9 2546513
## 1598 2011-11-01 73.5 74.0 73.0 73.8 2754350
## 1599 2011-10-31 73.5 73.8 73.1 73.6 3438295
## 1600 2011-10-28 73.5 74.0 72.1 73.1 6828823
## 1601 2011-10-27 72.0 72.2 71.4 71.9 2832114
## 1602 2011-10-26 71.4 72.0 71.1 71.9 1843564
## 1603 2011-10-25 71.8 72.0 71.0 71.5 3087981
## 1604 2011-10-24 71.2 71.9 71.2 71.7 3590883
## 1605 2011-10-21 70.7 70.7 69.6 70.3 1257985
## 1606 2011-10-20 70.5 70.7 69.6 69.7 1909738
## 1607 2011-10-19 71.0 71.1 70.2 71.1 2287372
## 1608 2011-10-18 70.1 70.7 70.0 70.7 1820848
## 1609 2011-10-17 70.8 71.1 70.5 71.1 2767783
## 1610 2011-10-14 70.8 70.8 69.9 70.3 2722706
## 1611 2011-10-13 69.8 70.4 68.8 70.4 4072375
## 1612 2011-10-12 70.5 70.5 69.6 70.4 2916680
## 1613 2011-10-11 70.0 70.4 69.6 70.0 3900410
## 1614 2011-10-07 69.5 69.6 68.7 69.1 3315263
## 1615 2011-10-06 69.7 69.9 68.7 69.0 3968214
## 1616 2011-10-05 68.9 69.7 68.7 69.1 2511003
## 1617 2011-10-04 70.0 70.0 68.2 69.1 2540121
## 1618 2011-10-03 70.0 70.0 68.1 68.6 2335512
## 1619 2011-09-30 70.3 70.8 69.0 70.0 4220226
## 1620 2011-09-29 69.6 70.9 69.3 70.3 2805983
## 1621 2011-09-28 70.8 70.9 69.8 70.3 3286245
## 1622 2011-09-27 68.9 70.2 68.7 69.9 3945882
## 1623 2011-09-26 67.7 68.3 66.9 67.2 4159119
## 1624 2011-09-23 68.2 68.9 67.4 67.5 6071074
## 1625 2011-09-22 70.2 70.5 69.0 69.0 4514153
## 1626 2011-09-21 71.0 72.1 70.9 72.0 3898726
## 1627 2011-09-20 71.0 71.7 69.7 70.5 3314326
## 1628 2011-09-19 71.4 71.7 70.7 71.2 2049752
## 1629 2011-09-16 70.4 72.0 70.3 71.1 5621716
## 1630 2011-09-15 69.0 69.8 68.5 69.1 3046098
## 1631 2011-09-14 69.5 69.6 66.9 67.2 4134930
## 1632 2011-09-13 69.6 70.0 68.4 68.4 2414649
## 1633 2011-09-09 69.5 70.1 68.9 69.3 2665646
## 1634 2011-09-08 69.6 69.6 68.4 68.7 2967138
## 1635 2011-09-07 67.0 68.6 66.8 68.6 2720071
## 1636 2011-09-06 66.5 67.2 66.1 66.1 2711985
## 1637 2011-09-05 66.1 67.1 65.9 66.6 3312540
## 1638 2011-09-02 69.5 69.5 67.1 67.5 3042415
## 1639 2011-09-01 69.4 69.8 68.6 68.6 3322356
## 1640 2011-08-31 69.1 69.4 67.8 69.4 3266972
## 1641 2011-08-30 70.3 70.3 68.6 69.0 2332284
## 1642 2011-08-29 68.6 69.9 68.1 69.4 2686589
## 1643 2011-08-26 67.1 68.3 67.0 67.9 2750768
## 1644 2011-08-25 67.4 67.6 66.4 67.0 2074112
## 1645 2011-08-24 67.7 67.7 66.4 67.5 3380050
## 1646 2011-08-23 65.0 67.1 65.0 66.8 3093697
## 1647 2011-08-22 63.6 65.5 63.0 65.0 2997433
## 1648 2011-08-19 63.1 63.9 63.0 63.9 3119349
## 1649 2011-08-18 65.8 65.8 63.3 64.4 4695617
## 1650 2011-08-17 66.0 66.2 65.3 65.8 2360049
## 1651 2011-08-16 66.8 66.8 66.0 66.0 2585578
## 1652 2011-08-15 66.9 66.9 65.9 66.8 2675866
## 1653 2011-08-12 67.2 67.6 65.1 65.1 4253027
## 1654 2011-08-11 64.6 66.8 64.0 66.4 3571174
## 1655 2011-08-10 65.1 67.0 65.0 65.8 7206637
## 1656 2011-08-09 62.5 65.1 62.2 63.3 7354969
## 1657 2011-08-08 66.0 67.4 64.0 65.2 6426603
## 1658 2011-08-05 66.0 68.0 66.0 66.6 6013754
## 1659 2011-08-04 69.6 70.7 69.6 70.0 3162508
## 1660 2011-08-03 70.1 70.5 69.8 70.1 3226551
## 1661 2011-08-02 72.0 72.1 71.2 71.4 2399941
## 1662 2011-08-01 72.0 72.8 72.0 72.6 2984412
## 1663 2011-07-29 71.8 72.4 71.3 72.0 4363333
## 1664 2011-07-28 72.8 73.4 72.3 73.0 2458821
## 1665 2011-07-27 73.7 73.9 73.0 73.4 3357642
## 1666 2011-07-26 72.3 73.7 72.3 73.7 3880977
## 1667 2011-07-25 72.4 72.5 71.4 72.0 2517387
## 1668 2011-07-22 72.4 72.4 71.7 72.0 2758712
## 1669 2011-07-21 71.4 71.6 70.6 71.6 2364484
## 1670 2011-07-20 69.7 71.7 69.4 71.6 4121417
## 1671 2011-07-19 69.6 69.8 68.5 68.5 3960352
## 1672 2011-07-18 69.7 70.2 69.4 69.7 2648614
## 1673 2011-07-15 70.0 70.2 69.5 69.9 6223267
## 1674 2011-07-14 70.5 71.4 70.1 70.7 3845784
## 1675 2011-07-13 70.5 72.5 70.1 72.2 4966552
## 1676 2011-07-12 70.6 70.8 70.1 70.3 2818010
## 1677 2011-07-11 72.6 72.6 70.2 71.3 3701065
## 1678 2011-07-08 72.1 72.8 72.0 72.5 3838413
## 1679 2011-07-07 72.1 72.3 71.5 71.6 3429528
## 1680 2011-07-06 73.2 73.4 72.5 72.8 3169242
## 1681 2011-07-05 73.2 73.3 72.4 73.2 2839150
## 1682 2011-07-04 73.9 73.9 73.1 73.5 3265853
## 1683 2011-07-01 72.2 73.0 72.0 72.8 3041362
## 1684 2011-06-30 71.4 72.2 71.3 72.2 3508413
## 1685 2011-06-29 70.9 72.1 70.4 71.4 6628947
## 1686 2011-06-28 72.1 72.6 71.8 72.5 7347340
## 1687 2011-06-27 72.0 72.1 71.6 72.0 4683849
## 1688 2011-06-24 73.6 73.6 71.9 72.9 6309240
## 1689 2011-06-23 74.7 74.9 73.8 74.2 5213627
## 1690 2011-06-22 76.3 76.3 74.6 75.0 3517724
## 1691 2011-06-21 75.4 76.2 75.3 75.9 3234102
## 1692 2011-06-20 74.6 75.4 74.1 74.9 2381030
## 1693 2011-06-17 75.0 75.1 74.1 74.2 6844046
## 1694 2011-06-16 76.0 76.2 75.4 75.5 4779979
## 1695 2011-06-15 77.0 77.4 76.1 77.0 7051595
## 1696 2011-06-14 74.5 76.4 74.5 76.2 4004129
## 1697 2011-06-13 74.5 75.0 73.9 74.7 5389060
## 1698 2011-06-10 77.0 77.5 75.1 75.3 4214876
## 1699 2011-06-09 78.0 78.0 76.8 76.9 2849471
## 1700 2011-06-08 77.1 78.0 77.1 77.5 4519790
## 1701 2011-06-07 77.2 78.2 76.6 77.5 3213437
## 1702 2011-06-03 77.0 77.2 76.1 77.2 2822037
## 1703 2011-06-02 76.3 77.4 76.3 76.4 4759830
## 1704 2011-06-01 76.3 77.3 76.3 77.0 3488783
## 1705 2011-05-31 75.5 76.9 75.4 76.7 4799615
## 1706 2011-05-30 74.0 75.3 74.0 75.1 2524331
## 1707 2011-05-27 73.8 74.5 73.8 74.0 3699398
## 1708 2011-05-26 75.0 75.0 74.0 74.2 2473778
## 1709 2011-05-25 74.2 74.9 73.3 74.5 4415640
## 1710 2011-05-24 74.9 75.1 74.2 74.8 2599794
## 1711 2011-05-23 74.7 75.5 74.5 75.1 2930156
## 1712 2011-05-20 76.0 76.0 74.9 75.5 2493816
## 1713 2011-05-19 74.9 76.3 74.9 75.2 4460406
## 1714 2011-05-18 75.3 75.8 74.9 75.3 2130898
## 1715 2011-05-17 74.6 76.0 74.6 75.6 3119334
## 1716 2011-05-16 75.9 75.9 74.7 74.9 2560369
## 1717 2011-05-13 76.0 76.1 75.5 75.9 3043905
## 1718 2011-05-12 74.2 76.0 74.1 75.7 4439549
## 1719 2011-05-11 75.3 75.3 74.6 75.0 3243205
## 1720 2011-05-10 75.6 75.6 74.4 74.4 3237316
## 1721 2011-05-09 75.6 76.1 75.2 75.5 4897105
## 1722 2011-05-06 75.0 75.6 74.4 75.0 4059219
## 1723 2011-05-05 74.0 74.8 73.6 74.8 3378326
## 1724 2011-05-04 74.4 74.4 73.0 73.8 3433260
## 1725 2011-05-03 73.9 74.8 73.6 74.6 6066180
## 1726 2011-04-29 73.7 73.9 72.9 73.2 6882965
## 1727 2011-04-28 73.4 73.7 72.9 73.0 6125682
## 1728 2011-04-27 71.5 72.7 71.5 72.3 4271966
## 1729 2011-04-26 69.7 70.3 69.1 70.3 2226636
## 1730 2011-04-25 71.0 71.1 70.1 70.3 1556732
## 1731 2011-04-22 70.9 71.0 70.3 70.9 1792206
## 1732 2011-04-21 70.7 71.3 70.3 70.7 3606899
## 1733 2011-04-20 69.0 69.8 68.5 69.8 3333577
## 1734 2011-04-19 68.5 68.5 68.0 68.1 2915769
## 1735 2011-04-18 69.8 69.8 68.8 69.0 1877233
## 1736 2011-04-15 70.0 70.0 69.1 69.2 3629601
## 1737 2011-04-14 70.3 70.5 69.6 69.8 3757807
## 1738 2011-04-13 70.1 70.8 70.0 70.7 1964191
## 1739 2011-04-12 70.5 70.7 70.1 70.1 3231872
## 1740 2011-04-11 73.0 73.0 70.9 71.1 4503047
## 1741 2011-04-08 72.9 73.0 72.4 72.9 4782338
## 1742 2011-04-07 73.0 73.0 72.3 72.8 3283279
## 1743 2011-04-06 71.5 72.9 71.5 72.9 8301842
## 1744 2011-04-01 70.7 70.8 70.1 70.7 2133378
## 1745 2011-03-31 71.0 71.0 70.0 70.6 3272056
## 1746 2011-03-30 70.3 70.8 70.0 70.3 4290359
## 1747 2011-03-29 70.6 71.2 70.4 70.8 2468543
## 1748 2011-03-28 70.6 71.0 70.3 71.0 2197249
## 1749 2011-03-25 70.4 71.2 70.0 71.2 3656022
## 1750 2011-03-24 69.1 70.1 69.0 69.4 3111390
## 1751 2011-03-23 69.1 69.1 68.1 68.7 2142999
## 1752 2011-03-22 69.5 69.5 68.4 68.6 2393692
## 1753 2011-03-21 68.3 69.1 68.0 69.0 2510014
## 1754 2011-03-18 67.8 68.4 67.2 68.3 3780252
## 1755 2011-03-17 66.8 67.5 65.7 67.4 7033492
## 1756 2011-03-16 68.8 69.1 68.1 68.5 4274786
## 1757 2011-03-15 70.0 70.1 66.2 68.0 7953678
## 1758 2011-03-14 70.3 70.5 69.1 70.3 3354385
## 1759 2011-03-11 70.0 70.6 69.5 70.0 3687667
## 1760 2011-03-10 72.1 72.1 70.1 70.5 4539678
## 1761 2011-03-09 72.2 72.2 71.1 71.4 3350255
## 1762 2011-03-08 70.5 71.8 70.5 71.5 3982273
## 1763 2011-03-07 71.6 71.7 70.9 70.9 2149438
## 1764 2011-03-04 71.5 72.0 71.3 71.8 4348798
## 1765 2011-03-03 70.1 71.6 70.1 70.8 4214044
## 1766 2011-03-02 70.8 71.0 70.4 70.4 3745324
## 1767 2011-03-01 70.0 71.8 70.0 71.4 6003532
## 1768 2011-02-25 70.6 71.1 69.9 70.5 5559068
## 1769 2011-02-24 71.0 71.4 70.5 70.5 4454064
## 1770 2011-02-23 71.5 71.9 70.5 71.0 5724036
## 1771 2011-02-22 72.2 72.5 71.2 72.5 5929226
## 1772 2011-02-21 73.1 73.4 72.3 73.4 2849659
## 1773 2011-02-18 73.1 73.9 73.0 73.0 5483478
## 1774 2011-02-17 72.4 72.9 71.6 72.5 3562378
## 1775 2011-02-16 72.4 72.7 71.9 72.1 3933561
## 1776 2011-02-15 72.4 73.1 71.4 72.5 4102685
## 1777 2011-02-14 72.0 72.9 71.5 72.5 4841306
## 1778 2011-02-11 72.2 72.4 70.9 71.4 8044680
## 1779 2011-02-10 73.1 73.4 72.0 72.0 6078858
## 1780 2011-02-09 75.5 75.6 73.8 73.8 6040472
## 1781 2011-02-08 77.0 77.0 74.8 75.5 8381585
## 1782 2011-01-28 75.2 76.9 74.9 76.3 8379116
## 1783 2011-01-27 74.9 75.4 74.8 75.2 5251216
## 1784 2011-01-26 74.6 75.2 74.3 74.6 4989976
## 1785 2011-01-25 75.9 75.9 74.9 75.0 3826118
## 1786 2011-01-24 75.2 75.4 74.6 75.3 3467458
## 1787 2011-01-21 74.0 75.2 74.0 74.6 6091444
## 1788 2011-01-20 77.0 77.0 76.1 76.4 3341142
## 1789 2011-01-19 76.9 78.3 76.6 78.0 6768303
## 1790 2011-01-18 75.5 77.4 75.2 76.8 4373751
## 1791 2011-01-17 75.4 75.9 75.3 75.8 5092053
## 1792 2011-01-14 74.4 74.8 74.1 74.8 2220105
## 1793 2011-01-13 75.1 75.3 74.2 74.6 6938412
## 1794 2011-01-12 74.7 75.0 74.7 74.9 4014373
## 1795 2011-01-11 74.1 74.9 73.8 74.5 6162046
## 1796 2011-01-10 73.0 74.2 72.6 74.2 5110968
## 1797 2011-01-07 71.9 73.0 71.9 72.5 12335419
## 1798 2011-01-06 69.8 71.0 69.7 71.0 3295607
## 1799 2011-01-05 70.9 71.1 69.6 69.8 3811819
## 1800 2011-01-04 71.0 71.6 70.8 71.2 2567400
## 1801 2011-01-03 71.5 71.6 70.8 71.1 2541551
stock = read_csv('data/2330.csv',col_names=T)
## Parsed with column specification:
## cols(
## Date = col_date(format = ""),
## Open = col_double(),
## High = col_double(),
## Low = col_double(),
## Close = col_double(),
## Volume = col_double()
## )
read_csv('data/2330.csv',col_names=T,col_types = cols(
Date = col_date(format = ""),
Open = col_double(),
High = col_double(),
Low = col_double(),
Close = col_double(),
Volume = col_double()
))
## # A tibble: 1,801 x 6
## Date Open High Low Close Volume
## <date> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 2018-04-30 224. 228 222. 227 6448117
## 2 2018-04-27 225 226. 221 224. 7619247
## 3 2018-04-26 225 226. 221 222 10731921
## 4 2018-04-25 226. 226 224 225 10535437
## 5 2018-04-24 225 228. 225 227 9272078
## 6 2018-04-23 226. 228. 225 226. 16080436
## 7 2018-04-20 228 232. 228 229 29507056
## 8 2018-04-19 242 244. 241 244. 7758149
## 9 2018-04-18 240. 242. 236. 238 10130508
## 10 2018-04-17 243 244. 238. 238 10232257
## # … with 1,791 more rows
read excel file
#install.packages("readxl")
library(readxl)
setwd('~/lecture/riii/')
FinancialReport <- read_excel("./data/FinancialReport.xlsx")
#View(FinancialReport)
summary(FinancialReport)
## 年度 股本 財報評分 收盤
## Min. :1999 Min. : 767 Min. :59.00 Min. : 42.60
## 1st Qu.:2003 1st Qu.:2027 1st Qu.:89.00 1st Qu.: 62.50
## Median :2007 Median :2583 Median :92.00 Median : 71.00
## Mean :2007 Mean :2249 Mean :88.24 Mean : 83.75
## 3rd Qu.:2011 3rd Qu.:2592 3rd Qu.:94.00 3rd Qu.: 97.00
## Max. :2015 Max. :2643 Max. :96.00 Max. :167.00
## 平均 漲跌 漲跌__1 營業收入
## Min. : 52.40 Min. :-88.500 Min. :-53.00 Min. : 731
## 1st Qu.: 56.40 1st Qu.: -5.500 1st Qu.: -8.10 1st Qu.:2030
## Median : 67.40 Median : 6.500 Median : 8.80 Median :3174
## Mean : 82.29 Mean : 4.235 Mean : 11.77 Mean :3576
## 3rd Qu.:104.00 3rd Qu.: 20.100 3rd Qu.: 28.00 3rd Qu.:4271
## Max. :147.00 Max. : 96.000 Max. :135.00 Max. :8435
## 營業毛利 營業利益 業外損益 稅後淨利
## Min. : 315 Min. : 128 Min. :-43.70 Min. : 145
## 1st Qu.: 765 1st Qu.: 613 1st Qu.: 4.97 1st Qu.: 651
## Median :1417 Median :1044 Median : 35.00 Median : 999
## Mean :1639 Mean :1238 Mean : 50.67 Mean :1179
## 3rd Qu.:2071 3rd Qu.:1592 3rd Qu.: 62.10 3rd Qu.:1616
## Max. :4104 Max. :3200 Max. :304.00 Max. :3066
## ROA EPS
## Min. : 3.93 Min. : 0.830
## 1st Qu.:15.50 1st Qu.: 3.450
## Median :18.40 Median : 4.140
## Mean :17.15 Mean : 4.969
## 3rd Qu.:19.40 3rd Qu.: 6.240
## Max. :24.70 Max. :11.820
read json
setwd('~/lecture/riii/')
library(jsonlite)
##
## Attaching package: 'jsonlite'
## The following object is masked from 'package:purrr':
##
## flatten
json_data<- fromJSON('./data/rent.json')
## Warning: JSON string contains (illegal) UTF8 byte-order-mark!
json_data <- as_tibble(json_data)
head(json_data)
## # A tibble: 6 x 11
## 縣市 經管單位 用途限制 實際用途 每月租金 租期屆滿 建物面積 構造
## <chr> <chr> <chr> <chr> <dbl> <chr> <chr> <chr>
## 1 臺北市… 台北所 辦公或住宅或法… 商店 22900 105.12.… 190 木石磚造…
## 2 臺北市… 台北所 辦公或住宅或法… 辦公室 187000 107.6.7… 252 磚造
## 3 臺北市… 台北所 辦公或住宅或法… 商店 56899 105.2.3… 132 加強磚造…
## 4 臺北市… 台北所 住宅或法律許可… 商店 31850 107.7.2… 72 加強磚造…
## 5 臺北市… 臺北所 辦公或住宅或法… 商業 31860 105.12.… 171 磚造
## 6 臺北市… 臺北所 辦公或住宅或法… 商業 34000 106.2.2… 145.1 RC加強…
## # … with 3 more variables: 總樓層數 <chr>, 建物現況 <chr>, 房屋座落 <chr>
read xml
#install.packages("XML")
library(XML)
rurl <- 'http://opendata.epa.gov.tw/ws/Data/ATM00698/?$format=xml'
#weather <- xmlToDataFrame(url)
#View(weather)
#str(weather)
#weather[ weather$SiteName == '臺北', c('DataCreationDate','Temperature') ]
Flow Control
x=5;
if(x>3){
print("x > 3")
}else{
print("x <= 3")
}
## [1] "x > 3"
if(x>3) print("x > 3") else print("x <= 3")
## [1] "x > 3"
test = ifelse(x>3,"x > 3","x <= 3")
test
## [1] "x > 3"
data(iris)
iris$new_species = factor(ifelse(iris$Species == "setosa","IsSetosa","NotSetosa"))
str(iris)
## 'data.frame': 150 obs. of 6 variables:
## $ Sepal.Length: num 5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ...
## $ Sepal.Width : num 3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ...
## $ Petal.Length: num 1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ...
## $ Petal.Width : num 0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ...
## $ Species : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ...
## $ new_species : Factor w/ 2 levels "IsSetosa","NotSetosa": 1 1 1 1 1 1 1 1 1 1 ...
x=5;
if(x>3){
print ("x > 3");
} else if (x ==3){
print ("x == 3");
}else{
print("x <= 3");
}
## [1] "x > 3"
for(i in 1:10){
print(i)
}
## [1] 1
## [1] 2
## [1] 3
## [1] 4
## [1] 5
## [1] 6
## [1] 7
## [1] 8
## [1] 9
## [1] 10
sum=0
for(i in 1:100){
sum= sum+ i;
}
sum
## [1] 5050
sum(1:100)
## [1] 5050
mat = matrix(1:9, byrow=TRUE, nrow=3)
for(i in 1:nrow(mat)){
for(j in 1:ncol(mat)){
print(mat[i,j])
}
}
## [1] 1
## [1] 2
## [1] 3
## [1] 4
## [1] 5
## [1] 6
## [1] 7
## [1] 8
## [1] 9
sum = 0;
cnt = 0;
while(cnt <= 100){
sum = sum + cnt;
cnt = cnt + 1;
}
sum
## [1] 5050
p86
mat = matrix(data=rep(1,9^2),nrow = 9)
mat = matrix(data=0,nrow=9,ncol=9)
for(i in 1:nrow(mat)){
for(j in 1:ncol(mat)){
#mat[i,j] = i * j;
#mat[i,j] = paste(i,"*",j,"= ",i*j)
mat[i,j] = sprintf("%s * %s = %s",i,j,i*j)
}
}
mat
## [,1] [,2] [,3] [,4] [,5]
## [1,] "1 * 1 = 1" "1 * 2 = 2" "1 * 3 = 3" "1 * 4 = 4" "1 * 5 = 5"
## [2,] "2 * 1 = 2" "2 * 2 = 4" "2 * 3 = 6" "2 * 4 = 8" "2 * 5 = 10"
## [3,] "3 * 1 = 3" "3 * 2 = 6" "3 * 3 = 9" "3 * 4 = 12" "3 * 5 = 15"
## [4,] "4 * 1 = 4" "4 * 2 = 8" "4 * 3 = 12" "4 * 4 = 16" "4 * 5 = 20"
## [5,] "5 * 1 = 5" "5 * 2 = 10" "5 * 3 = 15" "5 * 4 = 20" "5 * 5 = 25"
## [6,] "6 * 1 = 6" "6 * 2 = 12" "6 * 3 = 18" "6 * 4 = 24" "6 * 5 = 30"
## [7,] "7 * 1 = 7" "7 * 2 = 14" "7 * 3 = 21" "7 * 4 = 28" "7 * 5 = 35"
## [8,] "8 * 1 = 8" "8 * 2 = 16" "8 * 3 = 24" "8 * 4 = 32" "8 * 5 = 40"
## [9,] "9 * 1 = 9" "9 * 2 = 18" "9 * 3 = 27" "9 * 4 = 36" "9 * 5 = 45"
## [,6] [,7] [,8] [,9]
## [1,] "1 * 6 = 6" "1 * 7 = 7" "1 * 8 = 8" "1 * 9 = 9"
## [2,] "2 * 6 = 12" "2 * 7 = 14" "2 * 8 = 16" "2 * 9 = 18"
## [3,] "3 * 6 = 18" "3 * 7 = 21" "3 * 8 = 24" "3 * 9 = 27"
## [4,] "4 * 6 = 24" "4 * 7 = 28" "4 * 8 = 32" "4 * 9 = 36"
## [5,] "5 * 6 = 30" "5 * 7 = 35" "5 * 8 = 40" "5 * 9 = 45"
## [6,] "6 * 6 = 36" "6 * 7 = 42" "6 * 8 = 48" "6 * 9 = 54"
## [7,] "7 * 6 = 42" "7 * 7 = 49" "7 * 8 = 56" "7 * 9 = 63"
## [8,] "8 * 6 = 48" "8 * 7 = 56" "8 * 8 = 64" "8 * 9 = 72"
## [9,] "9 * 6 = 54" "9 * 7 = 63" "9 * 8 = 72" "9 * 9 = 81"
rep(1,9^2)
## [1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## [36] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## [71] 1 1 1 1 1 1 1 1 1 1 1
mat1 = matrix(1:9, nrow = 9);
mat2 = matrix(1:9, nrow = 1);
mat = mat1 %*% mat2;
mat
## [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9]
## [1,] 1 2 3 4 5 6 7 8 9
## [2,] 2 4 6 8 10 12 14 16 18
## [3,] 3 6 9 12 15 18 21 24 27
## [4,] 4 8 12 16 20 24 28 32 36
## [5,] 5 10 15 20 25 30 35 40 45
## [6,] 6 12 18 24 30 36 42 48 54
## [7,] 7 14 21 28 35 42 49 56 63
## [8,] 8 16 24 32 40 48 56 64 72
## [9,] 9 18 27 36 45 54 63 72 81
Function
addThree = function(a){
a+3
}
addThree(3)
## [1] 6
#with default arguments
addThree_2 = function(a = 3) {
return(a+3)
}
addThree_2()
## [1] 6
#每行程式結尾可加;可不加
addThree_3 = function(a = 3) {
a+3;
}
addThree_3()
## [1] 6
#lazy function
f2 = function(a, b = 2, c = NULL) {
return(b + 1)
}
f2()
## [1] 3
#local variable
b = 3
f3 = function() {
b = 2
return(b)
}
f3()
## [1] 2
lapply sapply
x = list(c(1,2,3,4), c(5,6,7,8))
## 回傳list的結果
lapply(x, sum)
## [[1]]
## [1] 10
##
## [[2]]
## [1] 26
class(lapply(x, sum))
## [1] "list"
## 回傳簡化的結果(vector,matrix)
sapply(x, sum)
## [1] 10 26
## sapply 等同 lapply unlist 後的結果
unlist(lapply(x, sum))
## [1] 10 26
class(sapply(x, sum))
## [1] "numeric"
lapply(x,addThree)
## [[1]]
## [1] 4 5 6 7
##
## [[2]]
## [1] 8 9 10 11
## 匿名函式
lapply(x,function(e){e+3})
## [[1]]
## [1] 4 5 6 7
##
## [[2]]
## [1] 8 9 10 11
m1 = matrix(1:4, byrow=TRUE, nrow=2)
m2 = matrix(5:8, byrow=TRUE, nrow=2)
li = list(m1, m2)
lapply(li, function(e){e[1,]})
## [[1]]
## [1] 1 2
##
## [[2]]
## [1] 5 6
lapply(li, mean)
## [[1]]
## [1] 2.5
##
## [[2]]
## [1] 6.5
apply tapply
m = matrix(1:4, byrow=TRUE, nrow=2)
apply(m, 1, sum) # rowsums
## [1] 3 7
apply(m, 2, sum) # colsums
## [1] 4 6
rowmeans = apply(m, 1, mean)
colmeans = apply(m, 2, mean)
x = c(80,70,59,88,72,57)
t = c(1,1,2,1,1,2)
tapply(x,t, mean)
## 1 2
## 77.5 58.0
data(iris)
tapply(iris$Sepal.Length, iris$Species, mean)
## setosa versicolor virginica
## 5.006 5.936 6.588
tapply(iris$Sepal.Length,iris$Species,function(e){list(avg=mean(e),md=median(e),s_d = sd(e))})
## $setosa
## $setosa$avg
## [1] 5.006
##
## $setosa$md
## [1] 5
##
## $setosa$s_d
## [1] 0.3524897
##
##
## $versicolor
## $versicolor$avg
## [1] 5.936
##
## $versicolor$md
## [1] 5.9
##
## $versicolor$s_d
## [1] 0.5161711
##
##
## $virginica
## $virginica$avg
## [1] 6.588
##
## $virginica$md
## [1] 6.5
##
## $virginica$s_d
## [1] 0.6358796
s = lapply(names(iris[1:4]),function(e){tapply(iris[,e],iris$Species,mean) })
names(s)
## NULL
names(s) = names(iris[1:4])
探索性資料分析
表格
#import data
#getwd()
setwd("~/lecture/riii")
load("./Statistics/cdc.Rdata")
getwd()
## [1] "/Users/YorkLin/lecture/riii"
str(cdc)
## 'data.frame': 20000 obs. of 9 variables:
## $ genhlth : Factor w/ 5 levels "excellent","very good",..: 3 3 3 3 2 2 2 2 3 3 ...
## $ exerany : num 0 0 1 1 0 1 1 0 0 1 ...
## $ hlthplan: num 1 1 1 1 1 1 1 1 1 1 ...
## $ smoke100: num 0 1 1 0 0 0 0 0 1 0 ...
## $ height : num 70 64 60 66 61 64 71 67 65 70 ...
## $ weight : int 175 125 105 132 150 114 194 170 150 180 ...
## $ wtdesire: int 175 115 105 124 130 114 185 160 130 170 ...
## $ age : int 77 33 49 42 55 55 31 45 27 44 ...
## $ gender : Factor w/ 2 levels "m","f": 1 2 2 2 2 2 1 1 2 1 ...
head(cdc)
## genhlth exerany hlthplan smoke100 height weight wtdesire age gender
## 1 good 0 1 0 70 175 175 77 m
## 2 good 0 1 1 64 125 115 33 f
## 3 good 1 1 1 60 105 105 49 f
## 4 good 1 1 0 66 132 124 42 f
## 5 very good 0 1 0 61 150 130 55 f
## 6 very good 1 1 0 64 114 114 55 f
names(cdc)
## [1] "genhlth" "exerany" "hlthplan" "smoke100" "height" "weight"
## [7] "wtdesire" "age" "gender"
#轉換資料類型
cdc$exerany = as.factor(cdc$exerany)
cdc$hlthplan = as.factor(cdc$hlthplan)
cdc$smoke100 = as.factor(cdc$smoke100)
str(cdc)
## 'data.frame': 20000 obs. of 9 variables:
## $ genhlth : Factor w/ 5 levels "excellent","very good",..: 3 3 3 3 2 2 2 2 3 3 ...
## $ exerany : Factor w/ 2 levels "0","1": 1 1 2 2 1 2 2 1 1 2 ...
## $ hlthplan: Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 2 2 2 ...
## $ smoke100: Factor w/ 2 levels "0","1": 1 2 2 1 1 1 1 1 2 1 ...
## $ height : num 70 64 60 66 61 64 71 67 65 70 ...
## $ weight : int 175 125 105 132 150 114 194 170 150 180 ...
## $ wtdesire: int 175 115 105 124 130 114 185 160 130 170 ...
## $ age : int 77 33 49 42 55 55 31 45 27 44 ...
## $ gender : Factor w/ 2 levels "m","f": 1 2 2 2 2 2 1 1 2 1 ...
#一維次數分配表
table(cdc$exerany)
##
## 0 1
## 5086 14914
#相對比例
table(cdc$exerany) / length(cdc$exerany)
##
## 0 1
## 0.2543 0.7457
paste(table(cdc$exerany) / nrow(cdc) * 100, '%')
## [1] "25.43 %" "74.57 %"
#二維次數分配表
table(cdc$gender,cdc$exerany)
##
## 0 1
## m 2149 7420
## f 2937 7494
apply(m,1,function(e){ e / sum(e) })
## [,1] [,2]
## [1,] 0.3333333 0.4285714
## [2,] 0.6666667 0.5714286