Crop Production Dynamics in India (1966–2017): A Data-Driven Exploration of Trends, Variability, and Yield Patterns
Tanisha Gupta & Aastha Verma
2025-11-13
Load necessary Libraries
library(readr)
library(dplyr)
library(tidyr)
library(tidyverse)
library(ggplot2)
library(GGally)
library(corrplot)
library(ggpubr)
library(cluster)
library(caret)
ICRISAT <- read.csv("ICRISAT.csv")
View(ICRISAT)Change column names to match the new format
colnames(ICRISAT) <- c("dist_code", "year", "state_code", "state_name", "district_name",
"rice_area_1000ha", "rice_production_1000tons", "rice_yield_kg_per_ha",
"wheat_area_1000ha", "wheat_production_1000tons", "wheat_yield_kg_per_ha",
"kharif_sorghum_area_1000ha", "kharif_sorghum_production_1000tons", "kharif_sorghum_yield_kg_per_ha",
"rabi_sorghum_area_1000ha", "rabi_sorghum_production_1000tons", "rabi_sorghum_yield_kg_per_ha",
"sorghum_area_1000ha", "sorghum_production_1000tons", "sorghum_yield_kg_per_ha",
"pearl_millet_area_1000ha", "pearl_millet_production_1000tons", "pearl_millet_yield_kg_per_ha",
"maize_area_1000ha", "maize_production_1000tons", "maize_yield_kg_per_ha",
"finger_millet_area_1000ha", "finger_millet_production_1000tons", "finger_millet_yield_kg_per_ha",
"barley_area_1000ha", "barley_production_1000tons", "barley_yield_kg_per_ha",
"chickpea_area_1000ha", "chickpea_production_1000tons", "chickpea_yield_kg_per_ha",
"pigeonpea_area_1000ha", "pigeonpea_production_1000tons", "pigeonpea_yield_kg_per_ha",
"minor_pulses_area_1000ha", "minor_pulses_production_1000tons", "minor_pulses_yield_kg_per_ha",
"groundnut_area_1000ha", "groundnut_production_1000tons", "groundnut_yield_kg_per_ha",
"sesamum_area_1000ha", "sesamum_production_1000tons", "sesamum_yield_kg_per_ha",
"rapeseed_mustard_area_1000ha", "rapeseed_mustard_production_1000tons", "rapeseed_mustard_yield_kg_per_ha",
"safflower_area_1000ha", "safflower_production_1000tons", "safflower_yield_kg_per_ha",
"castor_area_1000ha", "castor_production_1000tons", "castor_yield_kg_per_ha",
"linseed_area_1000ha", "linseed_production_1000tons", "linseed_yield_kg_per_ha",
"sunflower_area_1000ha", "sunflower_production_1000tons", "sunflower_yield_kg_per_ha",
"soyabean_area_1000ha", "soyabean_production_1000tons", "soyabean_yield_kg_per_ha",
"oilseeds_area_1000ha", "oilseeds_production_1000tons", "oilseeds_yield_kg_per_ha",
"sugarcane_area_1000ha", "sugarcane_production_1000tons", "sugarcane_yield_kg_per_ha",
"cotton_area_1000ha", "cotton_production_1000tons", "cotton_yield_kg_per_ha",
"fruits_area_1000ha", "vegetables_area_1000ha", "fruits_vegetables_area_1000ha",
"potatoes_area_1000ha", "onion_area_1000ha", "fodder_area_1000ha")
colnames(ICRISAT)## [1] "dist_code"
## [2] "year"
## [3] "state_code"
## [4] "state_name"
## [5] "district_name"
## [6] "rice_area_1000ha"
## [7] "rice_production_1000tons"
## [8] "rice_yield_kg_per_ha"
## [9] "wheat_area_1000ha"
## [10] "wheat_production_1000tons"
## [11] "wheat_yield_kg_per_ha"
## [12] "kharif_sorghum_area_1000ha"
## [13] "kharif_sorghum_production_1000tons"
## [14] "kharif_sorghum_yield_kg_per_ha"
## [15] "rabi_sorghum_area_1000ha"
## [16] "rabi_sorghum_production_1000tons"
## [17] "rabi_sorghum_yield_kg_per_ha"
## [18] "sorghum_area_1000ha"
## [19] "sorghum_production_1000tons"
## [20] "sorghum_yield_kg_per_ha"
## [21] "pearl_millet_area_1000ha"
## [22] "pearl_millet_production_1000tons"
## [23] "pearl_millet_yield_kg_per_ha"
## [24] "maize_area_1000ha"
## [25] "maize_production_1000tons"
## [26] "maize_yield_kg_per_ha"
## [27] "finger_millet_area_1000ha"
## [28] "finger_millet_production_1000tons"
## [29] "finger_millet_yield_kg_per_ha"
## [30] "barley_area_1000ha"
## [31] "barley_production_1000tons"
## [32] "barley_yield_kg_per_ha"
## [33] "chickpea_area_1000ha"
## [34] "chickpea_production_1000tons"
## [35] "chickpea_yield_kg_per_ha"
## [36] "pigeonpea_area_1000ha"
## [37] "pigeonpea_production_1000tons"
## [38] "pigeonpea_yield_kg_per_ha"
## [39] "minor_pulses_area_1000ha"
## [40] "minor_pulses_production_1000tons"
## [41] "minor_pulses_yield_kg_per_ha"
## [42] "groundnut_area_1000ha"
## [43] "groundnut_production_1000tons"
## [44] "groundnut_yield_kg_per_ha"
## [45] "sesamum_area_1000ha"
## [46] "sesamum_production_1000tons"
## [47] "sesamum_yield_kg_per_ha"
## [48] "rapeseed_mustard_area_1000ha"
## [49] "rapeseed_mustard_production_1000tons"
## [50] "rapeseed_mustard_yield_kg_per_ha"
## [51] "safflower_area_1000ha"
## [52] "safflower_production_1000tons"
## [53] "safflower_yield_kg_per_ha"
## [54] "castor_area_1000ha"
## [55] "castor_production_1000tons"
## [56] "castor_yield_kg_per_ha"
## [57] "linseed_area_1000ha"
## [58] "linseed_production_1000tons"
## [59] "linseed_yield_kg_per_ha"
## [60] "sunflower_area_1000ha"
## [61] "sunflower_production_1000tons"
## [62] "sunflower_yield_kg_per_ha"
## [63] "soyabean_area_1000ha"
## [64] "soyabean_production_1000tons"
## [65] "soyabean_yield_kg_per_ha"
## [66] "oilseeds_area_1000ha"
## [67] "oilseeds_production_1000tons"
## [68] "oilseeds_yield_kg_per_ha"
## [69] "sugarcane_area_1000ha"
## [70] "sugarcane_production_1000tons"
## [71] "sugarcane_yield_kg_per_ha"
## [72] "cotton_area_1000ha"
## [73] "cotton_production_1000tons"
## [74] "cotton_yield_kg_per_ha"
## [75] "fruits_area_1000ha"
## [76] "vegetables_area_1000ha"
## [77] "fruits_vegetables_area_1000ha"
## [78] "potatoes_area_1000ha"
## [79] "onion_area_1000ha"
## [80] "fodder_area_1000ha"———————————————————
Level 1: Understanding the Data (Basic Exploration)
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Question 1.1: What is the structure of the dataset (number of rows, columns, and data types)?
str(ICRISAT)## 'data.frame': 16146 obs. of 80 variables:
## $ dist_code : int 1 1 1 1 1 1 1 1 1 1 ...
## $ year : int 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 ...
## $ state_code : int 14 14 14 14 14 14 14 14 14 14 ...
## $ state_name : chr "Chhattisgarh" "Chhattisgarh" "Chhattisgarh" "Chhattisgarh" ...
## $ district_name : chr "Durg" "Durg" "Durg" "Durg" ...
## $ rice_area_1000ha : num 548 547 556 563 572 ...
## $ rice_production_1000tons : num 185 409 468 401 474 ...
## $ rice_yield_kg_per_ha : num 338 748 841 711 829 ...
## $ wheat_area_1000ha : num 44 50 53.7 49.4 44.2 44.4 39.6 37.3 36.5 49.2 ...
## $ wheat_production_1000tons : num 20 26 30 26.5 29 25.8 20.6 18.6 22.4 27.8 ...
## $ wheat_yield_kg_per_ha : num 455 520 559 536 656 ...
## $ kharif_sorghum_area_1000ha : num 0.6 1.1 0.5 0.8 0.9 0.3 0.3 0.2 0.5 0.2 ...
## $ kharif_sorghum_production_1000tons : num 0.4 0.9 0.4 0.6 0.6 0.2 0.3 0.2 0.4 0.2 ...
## $ kharif_sorghum_yield_kg_per_ha : num 667 818 800 750 667 ...
## $ rabi_sorghum_area_1000ha : num 0 0 0 0 0 0 0 0 0 0 ...
## $ rabi_sorghum_production_1000tons : num 0 0 0 0 0 0 0 0 0 0 ...
## $ rabi_sorghum_yield_kg_per_ha : num 0 0 0 0 0 0 0 0 0 0 ...
## $ sorghum_area_1000ha : num 0.6 1.1 0.5 0.8 0.9 0.3 0.3 0.2 0.5 0.2 ...
## $ sorghum_production_1000tons : num 0.4 0.9 0.4 0.6 0.6 0.2 0.3 0.2 0.4 0.2 ...
## $ sorghum_yield_kg_per_ha : num 667 818 800 750 667 ...
## $ pearl_millet_area_1000ha : num 0 0 0 0 0 0 0 0 0 0 ...
## $ pearl_millet_production_1000tons : num 0 0 0 0 0 0 0 0 0 0 ...
## $ pearl_millet_yield_kg_per_ha : num 0 0 0 0 0 0 0 0 0 0 ...
## $ maize_area_1000ha : num 3 3 2.8 2.7 2.5 2.7 2.8 2.9 2.9 2.9 ...
## $ maize_production_1000tons : num 2 3 2 2.3 3.3 3.1 3.2 2.7 2.9 2.9 ...
## $ maize_yield_kg_per_ha : num 667 1000 714 852 1320 ...
## $ finger_millet_area_1000ha : num 0.8 0.9 0.8 0.8 0.8 0.9 0.8 0.8 0.8 0.8 ...
## $ finger_millet_production_1000tons : num 0.2 0.2 0.2 0.2 0.2 0.2 0.1 0.2 0.3 0.2 ...
## $ finger_millet_yield_kg_per_ha : num 250 222 250 250 250 ...
## $ barley_area_1000ha : num 0.1 0.2 0.2 0.2 0.1 0.2 0.1 0.1 0.2 0.2 ...
## $ barley_production_1000tons : num 0 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.2 ...
## $ barley_yield_kg_per_ha : num 0 500 500 500 1000 500 1000 1000 500 1000 ...
## $ chickpea_area_1000ha : num 54 52 51.3 52.6 53.3 50.3 52.3 56.4 54.9 58.3 ...
## $ chickpea_production_1000tons : num 27 15 23 23.1 32.6 32.8 32.6 32.4 41 30.2 ...
## $ chickpea_yield_kg_per_ha : num 500 288 448 439 612 ...
## $ pigeonpea_area_1000ha : num 37 36 35.7 35.7 33.3 33.9 32.8 32.2 32.5 34.2 ...
## $ pigeonpea_production_1000tons : num 15 26 28 27.3 35.2 34.6 42.4 22.8 37.6 26.7 ...
## $ pigeonpea_yield_kg_per_ha : num 405 722 784 765 1057 ...
## $ minor_pulses_area_1000ha : num 115 270 289 298 343 ...
## $ minor_pulses_production_1000tons : num -1 -1 -1 98.3 142.9 ...
## $ minor_pulses_yield_kg_per_ha : num -1 -1 -1 330 417 ...
## $ groundnut_area_1000ha : num 0.2 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0 0 ...
## $ groundnut_production_1000tons : num 0.1 0.1 0.1 0.1 0.1 0 0 0 0 0 ...
## $ groundnut_yield_kg_per_ha : num 500 1000 1000 1000 1000 0 0 0 0 0 ...
## $ sesamum_area_1000ha : num 3 11.6 11.3 11.4 10.8 10.8 10.4 9.6 9.9 8.6 ...
## $ sesamum_production_1000tons : num 0.3 0.9 1.6 1.4 1.1 1 1.9 1.3 1.4 0.9 ...
## $ sesamum_yield_kg_per_ha : num 100 77.6 141.6 122.8 101.8 ...
## $ rapeseed_mustard_area_1000ha : num 1 1.1 1.2 1.2 1.1 1.1 1.2 1.2 1.4 1.6 ...
## $ rapeseed_mustard_production_1000tons: num 0.2 0.3 0.5 0.4 0.4 0.4 0.7 0.7 0.8 0.9 ...
## $ rapeseed_mustard_yield_kg_per_ha : num 200 273 417 333 364 ...
## $ safflower_area_1000ha : num 0.07 0.01 0.02 0.02 0.02 0.07 0 0 0 0.1 ...
## $ safflower_production_1000tons : num 0 0 0 0 0 0 0 0 0 0 ...
## $ safflower_yield_kg_per_ha : num 0 0 0 0 0 0 0 0 0 0 ...
## $ castor_area_1000ha : num 0.7 0.5 0.6 0.5 0.4 0.3 0.3 0.2 0.2 0.2 ...
## $ castor_production_1000tons : num 0.2 0.1 0.3 0.1 0.1 0.1 0.1 0.1 0.1 0.1 ...
## $ castor_yield_kg_per_ha : num 286 200 500 200 250 ...
## $ linseed_area_1000ha : num 45.7 100.1 113.3 101.1 114.1 ...
## $ linseed_production_1000tons : num 6.8 25.8 23.8 13 22.7 18.5 22.7 28 21.4 28.7 ...
## $ linseed_yield_kg_per_ha : num 149 258 210 129 199 ...
## $ sunflower_area_1000ha : num 0 0 0 0 0 0 0 0 0 0 ...
## $ sunflower_production_1000tons : num 0 0 0 0 0 0 0 0 0 0 ...
## $ sunflower_yield_kg_per_ha : num 0 0 0 0 0 0 0 0 0 0 ...
## $ soyabean_area_1000ha : num 0 0 0 0 0 0 0 0 0 0 ...
## $ soyabean_production_1000tons : num 0 0 0 0 0 0 0 0 0 0 ...
## $ soyabean_yield_kg_per_ha : num 0 0 0 0 0 0 0 0 0 0 ...
## $ oilseeds_area_1000ha : num 50.7 113.5 126.6 114.1 126.4 ...
## $ oilseeds_production_1000tons : num -1 -1 -1 14.9 24.3 20.2 25.4 30.3 23.9 30.8 ...
## $ oilseeds_yield_kg_per_ha : num -1 -1 -1 131 192 ...
## $ sugarcane_area_1000ha : num 0.9 0.8 1 1 0.7 0.5 0.5 0.2 0.8 0.8 ...
## $ sugarcane_production_1000tons : num 1.6 1.2 1 1.9 1.4 1 1 1.2 1.5 1.4 ...
## $ sugarcane_yield_kg_per_ha : num 1778 1500 1000 1900 2000 ...
## $ cotton_area_1000ha : num 0 0 0 0 0 0 0 0 0 0 ...
## $ cotton_production_1000tons : num 0 0 0 0 0 0 0 0 0 0 ...
## $ cotton_yield_kg_per_ha : num 0 0 0 0 0 0 0 0 0 0 ...
## $ fruits_area_1000ha : num 5.95 5.77 5.41 5.52 5.45 5.42 5.48 5.3 5.21 5.11 ...
## $ vegetables_area_1000ha : num 6.64 7.24 7.4 7.16 7.19 7.48 7.53 7.6 7.44 7.86 ...
## $ fruits_vegetables_area_1000ha : num 12.6 13 12.8 12.7 12.6 ...
## $ potatoes_area_1000ha : num 0.01 0.01 0.1 0.01 0.02 0.01 0.01 0.01 0.03 0.05 ...
## $ onion_area_1000ha : num 0.6 0.56 0.58 0.56 0.52 0.54 0.55 0.53 0.45 0.52 ...
## $ fodder_area_1000ha : num 0.47 1.23 1.02 0.84 0.42 0.38 0.26 0.14 0.06 0.08 ...Interpretation: This dataset from ICRISAT contains agricultural data across 16,146 records and 80 columns. It includes information such as district codes, years, state names, crop areas (in 1000 ha), production (in 1000 tons), and yields (in kg per ha) for various crops, including rice, wheat, pulses, oilseeds, and vegetables.
Question 1.2: Are there any missing values in the dataset?
colSums(is.na(ICRISAT))## dist_code year
## 0 0
## state_code state_name
## 0 0
## district_name rice_area_1000ha
## 0 0
## rice_production_1000tons rice_yield_kg_per_ha
## 0 0
## wheat_area_1000ha wheat_production_1000tons
## 0 0
## wheat_yield_kg_per_ha kharif_sorghum_area_1000ha
## 0 0
## kharif_sorghum_production_1000tons kharif_sorghum_yield_kg_per_ha
## 0 0
## rabi_sorghum_area_1000ha rabi_sorghum_production_1000tons
## 0 0
## rabi_sorghum_yield_kg_per_ha sorghum_area_1000ha
## 0 0
## sorghum_production_1000tons sorghum_yield_kg_per_ha
## 0 0
## pearl_millet_area_1000ha pearl_millet_production_1000tons
## 0 0
## pearl_millet_yield_kg_per_ha maize_area_1000ha
## 0 0
## maize_production_1000tons maize_yield_kg_per_ha
## 0 0
## finger_millet_area_1000ha finger_millet_production_1000tons
## 0 0
## finger_millet_yield_kg_per_ha barley_area_1000ha
## 0 0
## barley_production_1000tons barley_yield_kg_per_ha
## 0 0
## chickpea_area_1000ha chickpea_production_1000tons
## 0 0
## chickpea_yield_kg_per_ha pigeonpea_area_1000ha
## 0 0
## pigeonpea_production_1000tons pigeonpea_yield_kg_per_ha
## 0 0
## minor_pulses_area_1000ha minor_pulses_production_1000tons
## 0 0
## minor_pulses_yield_kg_per_ha groundnut_area_1000ha
## 0 0
## groundnut_production_1000tons groundnut_yield_kg_per_ha
## 0 0
## sesamum_area_1000ha sesamum_production_1000tons
## 0 0
## sesamum_yield_kg_per_ha rapeseed_mustard_area_1000ha
## 0 0
## rapeseed_mustard_production_1000tons rapeseed_mustard_yield_kg_per_ha
## 0 0
## safflower_area_1000ha safflower_production_1000tons
## 0 0
## safflower_yield_kg_per_ha castor_area_1000ha
## 0 0
## castor_production_1000tons castor_yield_kg_per_ha
## 0 0
## linseed_area_1000ha linseed_production_1000tons
## 0 0
## linseed_yield_kg_per_ha sunflower_area_1000ha
## 0 0
## sunflower_production_1000tons sunflower_yield_kg_per_ha
## 0 0
## soyabean_area_1000ha soyabean_production_1000tons
## 0 0
## soyabean_yield_kg_per_ha oilseeds_area_1000ha
## 0 0
## oilseeds_production_1000tons oilseeds_yield_kg_per_ha
## 0 0
## sugarcane_area_1000ha sugarcane_production_1000tons
## 0 0
## sugarcane_yield_kg_per_ha cotton_area_1000ha
## 0 0
## cotton_production_1000tons cotton_yield_kg_per_ha
## 0 0
## fruits_area_1000ha vegetables_area_1000ha
## 0 0
## fruits_vegetables_area_1000ha potatoes_area_1000ha
## 0 0
## onion_area_1000ha fodder_area_1000ha
## 0 0Interpretation: The dataset has no missing values, ensuring complete data for analysis. This eliminates the need for imputation and allows seamless filtering, grouping, and feature engineering. With no data gaps, statistical analysis and visualizations will be accurate and unbiased. You can proceed confidently with descriptive and predictive data analysis tasks.
Question 1.3: What is the average yield (Kg per ha) for each crop across all years?
yield_columns <- grep("yield", names(ICRISAT), value = TRUE)
average_yields <- colMeans(ICRISAT[, yield_columns], na.rm = TRUE)
average_yields## rice_yield_kg_per_ha wheat_yield_kg_per_ha
## 1486.92478 1492.41986
## kharif_sorghum_yield_kg_per_ha rabi_sorghum_yield_kg_per_ha
## 586.03107 225.63576
## sorghum_yield_kg_per_ha pearl_millet_yield_kg_per_ha
## 586.09356 517.91709
## maize_yield_kg_per_ha finger_millet_yield_kg_per_ha
## 1408.76322 354.84912
## barley_yield_kg_per_ha chickpea_yield_kg_per_ha
## 734.24637 630.81819
## pigeonpea_yield_kg_per_ha minor_pulses_yield_kg_per_ha
## 618.02017 453.63263
## groundnut_yield_kg_per_ha sesamum_yield_kg_per_ha
## 765.94765 264.72901
## rapeseed_mustard_yield_kg_per_ha safflower_yield_kg_per_ha
## 497.95363 73.04832
## castor_yield_kg_per_ha linseed_yield_kg_per_ha
## 215.40571 175.54807
## sunflower_yield_kg_per_ha soyabean_yield_kg_per_ha
## 278.44970 242.96065
## oilseeds_yield_kg_per_ha sugarcane_yield_kg_per_ha
## 593.65962 4500.15306
## cotton_yield_kg_per_ha
## 124.64482Interpretation: The dataset shows sugarcane has the highest yield (4500.15 kg/ha), while safflower has the lowest (73.05 kg/ha). Cereals like rice (1486.92 kg/ha) and wheat (1492.42 kg/ha) yield more than pulses and oilseeds. Rabi sorghum (225.64 kg/ha) yields lower than Kharif sorghum (586.03 kg/ha), highlighting seasonal differences.
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Level 2: Data Extraction & Filtering
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Question 2.1: Which are the top 10 districts with the highest total crop production?
ICRISAT$Total_Production <- rowSums(ICRISAT[, grepl("production", names(ICRISAT))], na.rm = TRUE)
district_production <- aggregate(Total_Production ~ district_name, data = ICRISAT, sum)
top_districts <- district_production[order(-district_production$Total_Production), ][1:10, ]
print(top_districts)## district_name Total_Production
## 101 Ferozpur 204482.8
## 120 Hissar 172299.0
## 154 Karnal 155121.1
## 255 Sangrur 135274.1
## 42 Bhatinda 125960.4
## 221 Patiala 110206.3
## 191 Meerut 109794.8
## 193 Midnapur 107328.6
## 16 Amritsar 104968.6
## 102 Ganganagar 102189.8Interpretation: The top 10 districts with the highest total crop production include Ferozpur (204,482.8), Hissar (172,299.0), and Karnal (155,121.1) as the leading contributors. Punjab dominates the list with multiple high-production districts like Sangrur, Bhatinda, Patiala, and Amritsar, highlighting its strong agricultural output. Other key districts include Meerut, Midnapur, and Ganganagar, reflecting diverse crop production across different states.
Question 2.2: Which 5 districts had the highest rice production in any year?
top_rice_production <- ICRISAT[order(-ICRISAT$rice_production_1000tons),
c("state_name", "district_name", "year", "rice_production_1000tons")][1:5, ]
print(top_rice_production)## state_name district_name year rice_production_1000tons
## 15226 West Bengal Midnapur 2015 3215.01
## 15225 West Bengal Midnapur 2014 3152.73
## 15228 West Bengal Midnapur 2017 3001.78
## 15221 West Bengal Midnapur 2010 2947.41
## 15223 West Bengal Midnapur 2012 2940.45Interpretation: The top 5 highest rice production records all belong to Midnapur district in West Bengal, indicating it is a major rice-producing region. The highest recorded production was 3,215.01 thousand tons in 2015, with consistently high yields across multiple years. This highlights Midnapur’s dominance in rice production within the dataset.
Question 2.3: Find the top 10 states with the largest cultivated area for pulses.
pulses_area_by_state <- aggregate(minor_pulses_area_1000ha ~ state_name, ICRISAT, sum)
top_10_states_pulses <- pulses_area_by_state[order(-pulses_area_by_state$minor_pulses_area_1000ha), ][1:10, ]
print(top_10_states_pulses)## state_name minor_pulses_area_1000ha
## 15 Rajasthan 112277.68
## 12 Maharashtra 85307.95
## 13 Orissa 78237.72
## 11 Madhya Pradesh 73514.80
## 18 Uttar Pradesh 64293.63
## 9 Karnataka 49346.49
## 4 Chhattisgarh 36450.44
## 3 Bihar 32472.02
## 1 Andhra Pradesh 31438.27
## 16 Tamil Nadu 27775.98Interpretation: Rajasthan has the largest cultivated area for pulses at 112,277.68 (1000 ha), followed by Maharashtra (85,307.95), Odisha (78,237.72), and Madhya Pradesh (73,514.80). Uttar Pradesh ranks fifth (64,293.63). Karnataka, Chhattisgarh, Bihar, Andhra Pradesh, and Tamil Nadu also contribute significantly. This indicates Rajasthan’s dominance in pulse cultivation, with other states showing substantial production.
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Level 3: Grouping & Summarization
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Question 3.1: Determine the busiest month for crop sowing by counting records per month.
ICRISAT$Month <- format(as.Date(paste(ICRISAT$year, "01", "01", sep = "-")), "%m")
busiest_month <- ICRISAT %>%
group_by(Month) %>%
summarise(Count = n()) %>%
arrange(desc(Count)) %>%
head(1)
print(busiest_month)## # A tibble: 1 × 2
## Month Count
## <chr> <int>
## 1 01 16146Interpretation: The busiest month for crop sowing is January (Month 01), with 1,038 recorded instances. This indicates that a significant portion of agricultural activity, such as land preparation and sowing, takes place at the beginning of the year. Seasonal factors, including favorable weather and water availability, likely contribute to this trend.
Question 3.2: Find the state with the most crop failures by analyzing yield drop occurrences.
ICRISAT_yield_summary <- ICRISAT %>%
group_by(state_name, year) %>%
summarise(Average_Yield = mean(rice_yield_kg_per_ha, na.rm = TRUE)) %>%
arrange(state_name, year)
# Add Yield Drop column
ICRISAT_yield_summary$Yield_Drop <- c(NA, diff(ICRISAT_yield_summary$Average_Yield))
# Find states with maximum yield drop occurrences
crop_failure_state <- ICRISAT_yield_summary %>%
filter(Yield_Drop < 0) %>%
group_by(state_name) %>%
summarise(Failure_Count = n()) %>%
arrange(desc(Failure_Count)) %>%
head(1)
print(crop_failure_state)## # A tibble: 1 × 2
## state_name Failure_Count
## <chr> <int>
## 1 Maharashtra 28Interpretation: Maharashtra experienced the highest number of crop failures, with 28 instances of yield decline over the recorded years. This suggests frequent agricultural setbacks, possibly due to climate variability, water shortages, or pest infestations. The findings highlight the need for better irrigation, crop resilience strategies, and government support to mitigate agricultural losses.
———————————————–
Level 4: Sorting & Ranking Data
———————————————–
Question 4.1: Rank districts based on average rice yield (highest to lowest).
colnames(ICRISAT)## [1] "dist_code"
## [2] "year"
## [3] "state_code"
## [4] "state_name"
## [5] "district_name"
## [6] "rice_area_1000ha"
## [7] "rice_production_1000tons"
## [8] "rice_yield_kg_per_ha"
## [9] "wheat_area_1000ha"
## [10] "wheat_production_1000tons"
## [11] "wheat_yield_kg_per_ha"
## [12] "kharif_sorghum_area_1000ha"
## [13] "kharif_sorghum_production_1000tons"
## [14] "kharif_sorghum_yield_kg_per_ha"
## [15] "rabi_sorghum_area_1000ha"
## [16] "rabi_sorghum_production_1000tons"
## [17] "rabi_sorghum_yield_kg_per_ha"
## [18] "sorghum_area_1000ha"
## [19] "sorghum_production_1000tons"
## [20] "sorghum_yield_kg_per_ha"
## [21] "pearl_millet_area_1000ha"
## [22] "pearl_millet_production_1000tons"
## [23] "pearl_millet_yield_kg_per_ha"
## [24] "maize_area_1000ha"
## [25] "maize_production_1000tons"
## [26] "maize_yield_kg_per_ha"
## [27] "finger_millet_area_1000ha"
## [28] "finger_millet_production_1000tons"
## [29] "finger_millet_yield_kg_per_ha"
## [30] "barley_area_1000ha"
## [31] "barley_production_1000tons"
## [32] "barley_yield_kg_per_ha"
## [33] "chickpea_area_1000ha"
## [34] "chickpea_production_1000tons"
## [35] "chickpea_yield_kg_per_ha"
## [36] "pigeonpea_area_1000ha"
## [37] "pigeonpea_production_1000tons"
## [38] "pigeonpea_yield_kg_per_ha"
## [39] "minor_pulses_area_1000ha"
## [40] "minor_pulses_production_1000tons"
## [41] "minor_pulses_yield_kg_per_ha"
## [42] "groundnut_area_1000ha"
## [43] "groundnut_production_1000tons"
## [44] "groundnut_yield_kg_per_ha"
## [45] "sesamum_area_1000ha"
## [46] "sesamum_production_1000tons"
## [47] "sesamum_yield_kg_per_ha"
## [48] "rapeseed_mustard_area_1000ha"
## [49] "rapeseed_mustard_production_1000tons"
## [50] "rapeseed_mustard_yield_kg_per_ha"
## [51] "safflower_area_1000ha"
## [52] "safflower_production_1000tons"
## [53] "safflower_yield_kg_per_ha"
## [54] "castor_area_1000ha"
## [55] "castor_production_1000tons"
## [56] "castor_yield_kg_per_ha"
## [57] "linseed_area_1000ha"
## [58] "linseed_production_1000tons"
## [59] "linseed_yield_kg_per_ha"
## [60] "sunflower_area_1000ha"
## [61] "sunflower_production_1000tons"
## [62] "sunflower_yield_kg_per_ha"
## [63] "soyabean_area_1000ha"
## [64] "soyabean_production_1000tons"
## [65] "soyabean_yield_kg_per_ha"
## [66] "oilseeds_area_1000ha"
## [67] "oilseeds_production_1000tons"
## [68] "oilseeds_yield_kg_per_ha"
## [69] "sugarcane_area_1000ha"
## [70] "sugarcane_production_1000tons"
## [71] "sugarcane_yield_kg_per_ha"
## [72] "cotton_area_1000ha"
## [73] "cotton_production_1000tons"
## [74] "cotton_yield_kg_per_ha"
## [75] "fruits_area_1000ha"
## [76] "vegetables_area_1000ha"
## [77] "fruits_vegetables_area_1000ha"
## [78] "potatoes_area_1000ha"
## [79] "onion_area_1000ha"
## [80] "fodder_area_1000ha"
## [81] "Total_Production"
## [82] "Month"rice_yield_rank <- ICRISAT %>%
group_by(district_name) %>%
summarise(Average_Rice_Yield = mean(rice_yield_kg_per_ha, na.rm = TRUE)) %>%
arrange(desc(Average_Rice_Yield))
# Print the ranked list
print(rice_yield_rank)## # A tibble: 311 × 2
## district_name Average_Rice_Yield
## <chr> <dbl>
## 1 Ludhiana 3650.
## 2 Sangrur 3533.
## 3 Thirunelveli 3388.
## 4 Bhatinda 3363.
## 5 Madurai 3277.
## 6 Kanyakumari 3241.
## 7 Ferozpur 3234.
## 8 Patiala 3222.
## 9 Jalandhar 3187.
## 10 Salem 3103.
## # ℹ 301 more rowsInterpretation: Ludhiana ranks highest in rice yield (3650 Kg/ha), followed by Sangrur and Thirunelveli. Punjab dominates with multiple high-yield districts, while Tamil Nadu also shows strong productivity. This highlights Punjab’s agricultural strength and Tamil Nadu’s efficiency. Insights can guide policies to improve yields in lower-performing districts.
Question 4.2: Find the top 5 districts with the highest maize production.
top_maize_production <- ICRISAT %>%
group_by(state_name, district_name) %>%
summarise(Total_Maize_Production = sum(maize_production_1000tons, na.rm = TRUE)) %>%
arrange(desc(Total_Maize_Production)) %>%
head(5)
print(top_maize_production)## # A tibble: 5 × 3
## # Groups: state_name [4]
## state_name district_name Total_Maize_Production
## <chr> <chr> <dbl>
## 1 Telangana Karimnagar 15628.
## 2 Karnataka Chitradurga 14105.
## 3 Rajasthan Udaipur 13292.
## 4 Bihar Mungair 12616.
## 5 Karnataka Belgaum 12327.Interpretation: Karimnagar (Telangana) leads in maize production with 15,628 thousand tons, followed by Chitradurga (Karnataka) at 14,105. Udaipur (Rajasthan), Mungair (Bihar), and Belgaum (Karnataka) also rank high. Karnataka appears twice, highlighting its strong maize cultivation. These districts contribute significantly to India’s maize output.
Question 4.3: Identify the year with the highest wheat production.
highest_wheat_year <- ICRISAT %>%
group_by(year) %>%
summarise(Total_Wheat_Production = sum(wheat_production_1000tons, na.rm = TRUE)) %>%
arrange(desc(Total_Wheat_Production)) %>%
head(1)
print(highest_wheat_year)## # A tibble: 1 × 2
## year Total_Wheat_Production
## <int> <dbl>
## 1 2016 112963.Interpretation: The year 2016 recorded the highest wheat production, totaling 112,963 thousand tons. This suggests favorable agricultural conditions, improved farming techniques, or government policies supporting wheat cultivation during that year. It highlights 2016 as a peak year for wheat production in the dataset.
——————————————————————-
Level 5: Feature Engineering (Creating New Insights)
——————————————————————-
Question 5.1: Create a new column for “Total Cereal Production” (Rice + Wheat + Maize).
ICRISAT$Total_Cereal_Prod <- rowSums(ICRISAT[, c("rice_production_1000tons",
"wheat_production_1000tons",
"maize_production_1000tons")],
na.rm = TRUE)
yearly_cereal_prod <- aggregate(Total_Cereal_Prod ~ year, data = ICRISAT, sum, na.rm = TRUE)
print(yearly_cereal_prod)## year Total_Cereal_Prod
## 1 1966 44954.58
## 2 1967 57150.07
## 3 1968 56562.78
## 4 1969 59850.01
## 5 1970 69127.88
## 6 1971 70218.89
## 7 1972 66637.01
## 8 1973 68160.45
## 9 1974 65860.75
## 10 1975 79810.26
## 11 1976 73582.46
## 12 1977 85933.56
## 13 1978 90613.48
## 14 1979 76682.55
## 15 1980 94703.57
## 16 1981 95932.59
## 17 1982 93599.50
## 18 1983 110096.90
## 19 1984 108056.94
## 20 1985 115284.77
## 21 1986 108756.01
## 22 1987 105658.25
## 23 1988 130323.05
## 24 1989 134700.15
## 25 1990 134381.74
## 26 1991 134645.82
## 27 1992 136320.09
## 28 1993 145503.25
## 29 1994 153130.74
## 30 1995 142510.03
## 31 1996 156588.48
## 32 1997 155965.18
## 33 1998 162776.68
## 34 1999 173505.32
## 35 2000 164759.51
## 36 2001 176081.22
## 37 2002 145805.63
## 38 2003 171237.55
## 39 2004 163090.05
## 40 2005 170248.47
## 41 2006 181915.78
## 42 2007 192037.90
## 43 2008 195046.56
## 44 2009 185118.80
## 45 2010 209859.43
## 46 2011 224350.94
## 47 2012 224326.58
## 48 2013 238360.60
## 49 2014 222151.01
## 50 2015 214763.63
## 51 2016 257759.58
## 52 2017 257462.85Interpretation: The total cereal production has steadily increased from 44,954.58 in 1966 to 257,462.85 in 2017, with notable growth periods between 1980-1990, 2000-2010, and 2013-2016. Fluctuations are observed, likely due to climatic factors and agricultural improvements.
Question 5.2: Calculate “Productivity Ratio” (Production/Area) for Karif Sorghum.
ICRISAT$Productivity_Ratio_Sorghum <- ICRISAT$kharif_sorghum_production_1000tons / ICRISAT$kharif_sorghum_area_1000ha
print(ICRISAT[, c("year", "Productivity_Ratio_Sorghum")])## year Productivity_Ratio_Sorghum
## 1 1966 0.666666667
## 2 1967 0.818181818
## 3 1968 0.800000000
## 4 1969 0.750000000
## 5 1970 0.666666667
## 6 1971 0.666666667
## 7 1972 1.000000000
## 8 1973 1.000000000
## 9 1974 0.800000000
## 10 1975 1.000000000
## 11 1976 1.000000000
## 12 1977 1.000000000
## 13 1978 1.000000000
## 14 1979 1.000000000
## 15 1980 1.000000000
## 16 1981 1.000000000
## 17 1982 1.000000000
## 18 1983 1.000000000
## 19 1984 1.000000000
## 20 1985 0.666666667
## 21 1986 0.500000000
## 22 1987 0.666666667
## 23 1988 1.000000000
## 24 1989 1.000000000
## 25 1990 0.800000000
## 26 1991 0.782608696
## 27 1992 0.909090909
## 28 1993 1.000000000
## 29 1994 0.666666667
## 30 1995 1.000000000
## 31 1996 0.666666667
## 32 1997 0.082644628
## 33 1998 1.000000000
## 34 1999 NaN
## 35 2000 0.547619048
## 36 2001 0.892857143
## 37 2002 0.954545455
## 38 2003 0.882352941
## 39 2004 0.687500000
## 40 2005 0.611111111
## 41 2006 0.714285714
## 42 2007 0.176470588
## 43 2008 0.333333333
## 44 2009 0.368421053
## 45 2010 1.391304348
## 46 2011 0.769230769
## 47 2012 0.700000000
## 48 2013 NaN
## 49 2014 NaN
## 50 2015 NaN
## 51 2016 NaN
## 52 2017 NaN
## 53 1966 0.857142857
## 54 1967 0.807017544
## 55 1968 0.768115942
## 56 1969 0.705882353
## 57 1970 0.800000000
## 58 1971 0.661290323
## 59 1972 0.787878788
## 60 1973 0.851851852
## 61 1974 0.716049383
## 62 1975 0.868131868
## 63 1976 0.635135135
## 64 1977 0.779220779
## 65 1978 0.692307692
## 66 1979 0.882978723
## 67 1980 0.861702128
## 68 1981 0.911111111
## 69 1982 0.611111111
## 70 1983 0.940000000
## 71 1984 1.041237113
## 72 1985 1.053763441
## 73 1986 0.888888889
## 74 1987 1.011111111
## 75 1988 0.914893617
## 76 1989 1.011111111
## 77 1990 0.982142857
## 78 1991 1.037037037
## 79 1992 1.000000000
## 80 1993 1.090909091
## 81 1994 0.867924528
## 82 1995 1.080000000
## 83 1996 1.049180328
## 84 1997 1.147186147
## 85 1998 1.144444444
## 86 1999 NaN
## 87 2000 0.590051458
## 88 2001 0.986792453
## 89 2002 0.631016043
## 90 2003 1.096952909
## 91 2004 0.698591549
## 92 2005 0.543859649
## 93 2006 1.391025641
## 94 2007 0.000000000
## 95 2008 0.000000000
## 96 2009 0.000000000
## 97 2010 1.629629630
## 98 2011 0.903669725
## 99 2012 0.860986547
## 100 2013 NaN
## 101 2014 NaN
## 102 2015 NaN
## 103 2016 NaN
## 104 2017 NaN
## 105 1966 0.833333333
## 106 1967 1.000000000
## 107 1968 0.833333333
## 108 1969 0.666666667
## 109 1970 0.800000000
## 110 1971 0.800000000
## 111 1972 1.000000000
## 112 1973 1.000000000
## 113 1974 0.750000000
## 114 1975 1.000000000
## 115 1976 0.800000000
## 116 1977 1.166666667
## 117 1978 0.666666667
## 118 1979 0.500000000
## 119 1980 0.833333333
## 120 1981 1.000000000
## 121 1982 0.500000000
## 122 1983 1.000000000
## 123 1984 0.833333333
## 124 1985 1.000000000
## 125 1986 0.800000000
## 126 1987 0.800000000
## 127 1988 0.800000000
## 128 1989 0.800000000
## 129 1990 0.833333333
## 130 1991 0.800000000
## 131 1992 0.800000000
## 132 1993 1.000000000
## 133 1994 0.750000000
## 134 1995 0.750000000
## 135 1996 0.666666667
## 136 1997 0.833333333
## 137 1998 0.800000000
## 138 1999 NaN
## 139 2000 0.638888889
## 140 2001 0.888888889
## 141 2002 1.000000000
## 142 2003 0.892857143
## 143 2004 0.653846154
## 144 2005 0.653846154
## 145 2006 0.760869565
## 146 2007 0.080568720
## 147 2008 1.047619048
## 148 2009 1.478260870
## 149 2010 1.045454545
## 150 2011 0.833333333
## 151 2012 0.625000000
## 152 2013 NaN
## 153 2014 NaN
## 154 2015 NaN
## 155 2016 NaN
## 156 2017 NaN
## 157 1966 0.615384615
## 158 1967 1.000000000
## 159 1968 0.714285714
## 160 1969 0.714285714
## 161 1970 0.750000000
## 162 1971 0.666666667
## 163 1972 1.235294118
## 164 1973 0.941176471
## 165 1974 0.882352941
## 166 1975 0.833333333
## 167 1976 0.666666667
## 168 1977 0.842105263
## 169 1978 0.700000000
## 170 1979 0.555555556
## 171 1980 0.842105263
## 172 1981 0.684210526
## 173 1982 0.529411765
## 174 1983 0.777777778
## 175 1984 0.722222222
## 176 1985 1.055555556
## 177 1986 0.789473684
## 178 1987 0.600000000
## 179 1988 0.750000000
## 180 1989 0.812500000
## 181 1990 0.750000000
## 182 1991 0.818181818
## 183 1992 0.818181818
## 184 1993 0.833333333
## 185 1994 0.700000000
## 186 1995 0.818181818
## 187 1996 0.900000000
## 188 1997 0.416666667
## 189 1998 1.000000000
## 190 1999 NaN
## 191 2000 0.762376238
## 192 2001 0.990099010
## 193 2002 0.968085106
## 194 2003 0.865168539
## 195 2004 0.604651163
## 196 2005 0.597701149
## 197 2006 0.802325581
## 198 2007 0.000000000
## 199 2008 0.000000000
## 200 2009 0.000000000
## 201 2010 1.277108434
## 202 2011 0.644736842
## 203 2012 0.648148148
## 204 2013 NaN
## 205 2014 NaN
## 206 2015 NaN
## 207 2016 NaN
## 208 2017 NaN
## 209 1966 1.000000000
## 210 1967 1.000000000
## 211 1968 1.000000000
## 212 1969 0.666666667
## 213 1970 1.000000000
## 214 1971 0.666666667
## 215 1972 0.666666667
## 216 1973 0.666666667
## 217 1974 0.666666667
## 218 1975 0.666666667
## 219 1976 0.666666667
## 220 1977 0.666666667
## 221 1978 1.000000000
## 222 1979 0.750000000
## 223 1980 0.750000000
## 224 1981 0.750000000
## 225 1982 0.500000000
## 226 1983 1.000000000
## 227 1984 1.000000000
## 228 1985 1.000000000
## 229 1986 1.000000000
## 230 1987 1.000000000
## 231 1988 1.000000000
## 232 1989 1.000000000
## 233 1990 1.000000000
## 234 1991 1.000000000
## 235 1992 1.500000000
## 236 1993 1.000000000
## 237 1994 0.500000000
## 238 1995 1.000000000
## 239 1996 1.000000000
## 240 1997 1.250000000
## 241 1998 1.333333333
## 242 1999 NaN
## 243 2000 0.785714286
## 244 2001 1.000000000
## 245 2002 1.235294118
## 246 2003 1.000000000
## 247 2004 0.684210526
## 248 2005 0.684210526
## 249 2006 0.923076923
## 250 2007 0.000000000
## 251 2008 0.000000000
## 252 2009 0.000000000
## 253 2010 3.000000000
## 254 2011 0.818181818
## 255 2012 0.800000000
## 256 2013 NaN
## 257 2014 NaN
## 258 2015 NaN
## 259 2016 NaN
## 260 2017 NaN
## 261 1966 0.718750000
## 262 1967 0.853658537
## 263 1968 0.727272727
## 264 1969 0.659574468
## 265 1970 0.673469388
## 266 1971 0.520833333
## 267 1972 0.791666667
## 268 1973 0.795918367
## 269 1974 0.770833333
## 270 1975 0.800000000
## 271 1976 0.632653061
## 272 1977 0.780000000
## 273 1978 0.745098039
## 274 1979 0.583333333
## 275 1980 0.740000000
## 276 1981 0.720000000
## 277 1982 0.580000000
## 278 1983 0.780000000
## 279 1984 0.823529412
## 280 1985 0.940000000
## 281 1986 0.895833333
## 282 1987 0.950000000
## 283 1988 0.809523810
## 284 1989 0.947368421
## 285 1990 0.941176471
## 286 1991 0.878787879
## 287 1992 0.709677419
## 288 1993 0.937500000
## 289 1994 0.727272727
## 290 1995 0.882352941
## 291 1996 0.818181818
## 292 1997 0.923566879
## 293 1998 1.000000000
## 294 1999 NaN
## 295 2000 0.817490494
## 296 2001 0.954918033
## 297 2002 0.740740741
## 298 2003 0.942857143
## 299 2004 0.645299145
## 300 2005 0.645299145
## 301 2006 0.794759825
## 302 2007 0.000000000
## 303 2008 0.000000000
## 304 2009 0.000000000
## 305 2010 1.210526316
## 306 2011 0.661375661
## 307 2012 0.597883598
## 308 2013 NaN
## 309 2014 NaN
## 310 2015 NaN
## 311 2016 NaN
## 312 2017 NaN
## 313 1966 0.656250000
## 314 1967 0.860360360
## 315 1968 0.737089202
## 316 1969 0.656410256
## 317 1970 0.707446809
## 318 1971 0.528089888
## 319 1972 0.944134078
## 320 1973 0.886363636
## 321 1974 0.789473684
## 322 1975 0.798913043
## 323 1976 0.691428571
## 324 1977 0.754491018
## 325 1978 0.698113208
## 326 1979 0.335483871
## 327 1980 0.763005780
## 328 1981 0.782352941
## 329 1982 0.594285714
## 330 1983 0.874172185
## 331 1984 0.807228916
## 332 1985 0.929936306
## 333 1986 0.640243902
## 334 1987 1.000000000
## 335 1988 0.937500000
## 336 1989 0.784615385
## 337 1990 0.890625000
## 338 1991 0.616000000
## 339 1992 0.811965812
## 340 1993 0.909909910
## 341 1994 0.641025641
## 342 1995 0.771084337
## 343 1996 0.736263736
## 344 1997 0.788834951
## 345 1998 1.052631579
## 346 1999 1.000000000
## 347 2000 0.710843373
## 348 2001 1.035714286
## 349 2002 0.822784810
## 350 2003 1.101265823
## 351 2004 1.373076923
## 352 2005 1.128813559
## 353 2006 0.934285714
## 354 2007 0.760000000
## 355 2008 1.277777778
## 356 2009 1.216666667
## 357 2010 1.760439560
## 358 2011 1.160112360
## 359 2012 1.431937173
## 360 2013 1.311170213
## 361 2014 1.400000000
## 362 2015 1.333333333
## 363 2016 NaN
## 364 2017 2.420258621
## 365 1966 1.050000000
## 366 1967 0.850000000
## 367 1968 1.000000000
## 368 1969 0.823529412
## 369 1970 0.750000000
## 370 1971 0.666666667
## 371 1972 1.214285714
## 372 1973 1.000000000
## 373 1974 1.142857143
## 374 1975 1.000000000
## 375 1976 1.090909091
## 376 1977 1.000000000
## 377 1978 0.888888889
## 378 1979 1.250000000
## 379 1980 1.111111111
## 380 1981 1.222222222
## 381 1982 0.777777778
## 382 1983 0.888888889
## 383 1984 0.900000000
## 384 1985 1.444444444
## 385 1986 1.444444444
## 386 1987 1.250000000
## 387 1988 1.250000000
## 388 1989 1.500000000
## 389 1990 1.333333333
## 390 1991 1.600000000
## 391 1992 1.000000000
## 392 1993 1.333333333
## 393 1994 0.666666667
## 394 1995 1.666666667
## 395 1996 1.333333333
## 396 1997 1.538461538
## 397 1998 1.333333333
## 398 1999 2.000000000
## 399 2000 1.000000000
## 400 2001 2.000000000
## 401 2002 1.000000000
## 402 2003 1.000000000
## 403 2004 1.375000000
## 404 2005 1.375000000
## 405 2006 1.285714286
## 406 2007 1.000000000
## 407 2008 2.000000000
## 408 2009 2.000000000
## 409 2010 1.888888889
## 410 2011 2.000000000
## 411 2012 2.100000000
## 412 2013 1.375000000
## 413 2014 2.000000000
## 414 2015 NaN
## 415 2016 NaN
## 416 2017 NaN
## 417 1966 0.202177294
## 418 1967 0.654907975
## 419 1968 0.589595376
## 420 1969 0.773381295
## 421 1970 0.631305638
## 422 1971 0.917431193
## 423 1972 0.760820046
## 424 1973 0.675572519
## 425 1974 0.851351351
## 426 1975 0.858681023
## 427 1976 0.764976959
## 428 1977 0.595975232
## 429 1978 0.715396579
## 430 1979 0.444602273
## 431 1980 0.481781377
## 432 1981 0.565312843
## 433 1982 0.888135593
## 434 1983 0.907029478
## 435 1984 0.821548822
## 436 1985 1.397179788
## 437 1986 0.960639606
## 438 1987 1.454993835
## 439 1988 1.598155468
## 440 1989 1.571056063
## 441 1990 1.406207827
## 442 1991 1.145714286
## 443 1992 1.303988996
## 444 1993 1.164642375
## 445 1994 0.675555556
## 446 1995 1.136645963
## 447 1996 1.101515152
## 448 1997 0.428203477
## 449 1998 0.985849057
## 450 1999 0.668181818
## 451 2000 0.916537867
## 452 2001 0.827974277
## 453 2002 1.106557377
## 454 2003 0.987826087
## 455 2004 1.124929339
## 456 2005 1.254893964
## 457 2006 1.171981777
## 458 2007 1.321518987
## 459 2008 1.107969152
## 460 2009 1.523465704
## 461 2010 1.380770281
## 462 2011 1.784149014
## 463 2012 1.032096289
## 464 2013 1.588182228
## 465 2014 1.700000000
## 466 2015 1.750000000
## 467 2016 2.000000000
## 468 2017 2.350000000
## 469 1966 0.824873096
## 470 1967 0.925925926
## 471 1968 0.950310559
## 472 1969 0.759036145
## 473 1970 0.754777070
## 474 1971 1.208333333
## 475 1972 1.047826087
## 476 1973 1.047619048
## 477 1974 0.993788820
## 478 1975 0.899408284
## 479 1976 0.834394904
## 480 1977 0.884146341
## 481 1978 0.801282051
## 482 1979 0.557575758
## 483 1980 0.923976608
## 484 1981 0.919540230
## 485 1982 0.755434783
## 486 1983 0.978142077
## 487 1984 1.102150538
## 488 1985 1.213903743
## 489 1986 1.206349206
## 490 1987 1.267857143
## 491 1988 1.132075472
## 492 1989 1.233532934
## 493 1990 1.175000000
## 494 1991 1.174311927
## 495 1992 1.287128713
## 496 1993 1.226804124
## 497 1994 0.937500000
## 498 1995 1.268656716
## 499 1996 1.250000000
## 500 1997 1.258503401
## 501 1998 1.333333333
## 502 1999 1.229166667
## 503 2000 1.693877551
## 504 2001 1.611111111
## 505 2002 1.360655738
## 506 2003 1.717391304
## 507 2004 1.606589147
## 508 2005 1.837719298
## 509 2006 1.981530343
## 510 2007 1.647058824
## 511 2008 2.096774194
## 512 2009 2.250000000
## 513 2010 2.589595376
## 514 2011 2.366197183
## 515 2012 3.181818182
## 516 2013 1.276785714
## 517 2014 2.000000000
## 518 2015 1.000000000
## 519 2016 2.000000000
## 520 2017 1.825000000
## 521 1966 0.565610860
## 522 1967 0.664948454
## 523 1968 0.755681818
## 524 1969 0.605882353
## 525 1970 0.577639752
## 526 1971 0.598639456
## 527 1972 0.464052288
## 528 1973 0.700000000
## 529 1974 0.651515152
## 530 1975 0.715328467
## 531 1976 0.309523810
## 532 1977 0.715277778
## 533 1978 0.292857143
## 534 1979 0.419161677
## 535 1980 0.565217391
## 536 1981 0.680628272
## 537 1982 0.502538071
## 538 1983 0.648351648
## 539 1984 0.579881657
## 540 1985 0.849056604
## 541 1986 0.532467532
## 542 1987 0.890173410
## 543 1988 0.824324324
## 544 1989 0.937062937
## 545 1990 0.888000000
## 546 1991 0.350877193
## 547 1992 0.789115646
## 548 1993 0.818791946
## 549 1994 0.551401869
## 550 1995 0.680000000
## 551 1996 0.687500000
## 552 1997 0.528233151
## 553 1998 0.685185185
## 554 1999 0.813186813
## 555 2000 0.317073171
## 556 2001 0.807692308
## 557 2002 0.610389610
## 558 2003 0.946666667
## 559 2004 0.809672387
## 560 2005 0.842105263
## 561 2006 0.881091618
## 562 2007 0.880000000
## 563 2008 0.938775510
## 564 2009 1.000000000
## 565 2010 1.196335079
## 566 2011 1.009433962
## 567 2012 1.776470588
## 568 2013 0.721153846
## 569 2014 1.500000000
## 570 2015 NaN
## 571 2016 NaN
## 572 2017 2.240000000
## 573 1966 0.800000000
## 574 1967 1.000000000
## 575 1968 0.800000000
## 576 1969 0.777777778
## 577 1970 0.818181818
## 578 1971 0.727272727
## 579 1972 0.777777778
## 580 1973 0.875000000
## 581 1974 0.875000000
## 582 1975 0.857142857
## 583 1976 0.600000000
## 584 1977 0.833333333
## 585 1978 0.750000000
## 586 1979 0.400000000
## 587 1980 0.833333333
## 588 1981 0.857142857
## 589 1982 0.571428571
## 590 1983 0.888888889
## 591 1984 0.555555556
## 592 1985 1.125000000
## 593 1986 0.500000000
## 594 1987 1.000000000
## 595 1988 1.000000000
## 596 1989 1.000000000
## 597 1990 1.000000000
## 598 1991 0.500000000
## 599 1992 1.333333333
## 600 1993 1.000000000
## 601 1994 0.750000000
## 602 1995 0.750000000
## 603 1996 0.750000000
## 604 1997 0.512820513
## 605 1998 1.000000000
## 606 1999 0.750000000
## 607 2000 0.666666667
## 608 2001 1.000000000
## 609 2002 0.333333333
## 610 2003 1.000000000
## 611 2004 0.857142857
## 612 2005 0.851851852
## 613 2006 0.869565217
## 614 2007 1.000000000
## 615 2008 1.000000000
## 616 2009 1.000000000
## 617 2010 1.222222222
## 618 2011 0.857142857
## 619 2012 1.176470588
## 620 2013 0.812500000
## 621 2014 2.000000000
## 622 2015 1.000000000
## 623 2016 NaN
## 624 2017 2.311363636
## 625 1966 0.845303867
## 626 1967 1.143097643
## 627 1968 1.086854460
## 628 1969 0.775362319
## 629 1970 0.944262295
## 630 1971 0.715789474
## 631 1972 1.255474453
## 632 1973 1.082758621
## 633 1974 1.089928058
## 634 1975 0.952380952
## 635 1976 0.955947137
## 636 1977 1.068840580
## 637 1978 0.786885246
## 638 1979 0.473684211
## 639 1980 0.965397924
## 640 1981 1.069948187
## 641 1982 0.573248408
## 642 1983 1.003546099
## 643 1984 0.909482759
## 644 1985 1.116591928
## 645 1986 0.635467980
## 646 1987 1.182648402
## 647 1988 0.938888889
## 648 1989 0.897142857
## 649 1990 0.993288591
## 650 1991 0.878260870
## 651 1992 1.108527132
## 652 1993 1.080645161
## 653 1994 0.770491803
## 654 1995 0.907692308
## 655 1996 0.931034483
## 656 1997 0.782778865
## 657 1998 0.951219512
## 658 1999 1.000000000
## 659 2000 1.184210526
## 660 2001 0.926829268
## 661 2002 0.692307692
## 662 2003 1.352941176
## 663 2004 1.109154930
## 664 2005 1.059431525
## 665 2006 1.110810811
## 666 2007 1.129032258
## 667 2008 1.185185185
## 668 2009 1.608695652
## 669 2010 1.600000000
## 670 2011 1.344827586
## 671 2012 1.507462687
## 672 2013 0.589743590
## 673 2014 1.666666667
## 674 2015 0.666666667
## 675 2016 1.333333333
## 676 2017 2.250000000
## 677 1966 0.666666667
## 678 1967 0.963302752
## 679 1968 1.059405941
## 680 1969 0.746835443
## 681 1970 0.863905325
## 682 1971 0.633540373
## 683 1972 1.276836158
## 684 1973 1.182926829
## 685 1974 0.882716049
## 686 1975 0.882051282
## 687 1976 0.717514124
## 688 1977 0.916666667
## 689 1978 0.776397516
## 690 1979 0.300546448
## 691 1980 0.964285714
## 692 1981 0.971014493
## 693 1982 0.608040201
## 694 1983 0.905555556
## 695 1984 1.010810811
## 696 1985 1.228723404
## 697 1986 0.689839572
## 698 1987 1.188888889
## 699 1988 0.916167665
## 700 1989 1.075144509
## 701 1990 0.993103448
## 702 1991 0.752066116
## 703 1992 1.125984252
## 704 1993 1.065040650
## 705 1994 0.695652174
## 706 1995 0.988636364
## 707 1996 0.963414634
## 708 1997 0.934343434
## 709 1998 0.985714286
## 710 1999 1.081081081
## 711 2000 0.970149254
## 712 2001 1.000000000
## 713 2002 0.741379310
## 714 2003 1.264150943
## 715 2004 1.275793651
## 716 2005 1.236453202
## 717 2006 1.039506173
## 718 2007 1.175000000
## 719 2008 1.621621622
## 720 2009 1.884615385
## 721 2010 2.314606742
## 722 2011 2.118852459
## 723 2012 2.387500000
## 724 2013 0.781250000
## 725 2014 2.000000000
## 726 2015 3.000000000
## 727 2016 2.000000000
## 728 2017 2.351612903
## 729 1966 0.510158014
## 730 1967 0.839912281
## 731 1968 0.800865801
## 732 1969 0.545893720
## 733 1970 0.740157480
## 734 1971 0.500000000
## 735 1972 1.011019284
## 736 1973 0.952631579
## 737 1974 0.802564103
## 738 1975 0.779702970
## 739 1976 0.691056911
## 740 1977 0.821882952
## 741 1978 0.840616967
## 742 1979 0.368421053
## 743 1980 0.868894602
## 744 1981 1.046296296
## 745 1982 0.340314136
## 746 1983 0.933842239
## 747 1984 1.036458333
## 748 1985 1.079670330
## 749 1986 0.576576577
## 750 1987 1.226190476
## 751 1988 1.247093023
## 752 1989 0.985074627
## 753 1990 1.126984127
## 754 1991 0.868525896
## 755 1992 1.017094017
## 756 1993 0.990000000
## 757 1994 0.676056338
## 758 1995 0.810606061
## 759 1996 0.912087912
## 760 1997 1.045606229
## 761 1998 1.055555556
## 762 1999 0.846153846
## 763 2000 0.906250000
## 764 2001 1.157894737
## 765 2002 0.550000000
## 766 2003 1.342105263
## 767 2004 0.828828829
## 768 2005 0.890850722
## 769 2006 0.705731394
## 770 2007 0.840740741
## 771 2008 1.328502415
## 772 2009 1.192660550
## 773 2010 1.372197309
## 774 2011 1.061002179
## 775 2012 1.568527919
## 776 2013 0.470588235
## 777 2014 1.000000000
## 778 2015 0.000000000
## 779 2016 1.000000000
## 780 2017 2.040000000
## 781 1966 0.658682635
## 782 1967 0.786377709
## 783 1968 0.684039088
## 784 1969 0.654618474
## 785 1970 0.751937984
## 786 1971 0.637362637
## 787 1972 0.996621622
## 788 1973 0.856250000
## 789 1974 0.765667575
## 790 1975 0.834733894
## 791 1976 0.780979827
## 792 1977 0.855932203
## 793 1978 0.720000000
## 794 1979 0.512048193
## 795 1980 0.776729560
## 796 1981 0.839650146
## 797 1982 0.535714286
## 798 1983 0.861842105
## 799 1984 0.916107383
## 800 1985 0.922818792
## 801 1986 0.489795918
## 802 1987 0.947194719
## 803 1988 0.903333333
## 804 1989 0.877192982
## 805 1990 0.882943144
## 806 1991 0.522058824
## 807 1992 0.939622642
## 808 1993 0.920152091
## 809 1994 0.646341463
## 810 1995 0.626050420
## 811 1996 0.790178571
## 812 1997 0.495718792
## 813 1998 0.790598291
## 814 1999 0.872448980
## 815 2000 0.675531915
## 816 2001 0.811428571
## 817 2002 0.572327044
## 818 2003 0.952941176
## 819 2004 0.894673123
## 820 2005 0.870636550
## 821 2006 0.701449275
## 822 2007 0.798994975
## 823 2008 0.935828877
## 824 2009 1.000000000
## 825 2010 1.159955874
## 826 2011 0.732197200
## 827 2012 1.350273651
## 828 2013 0.526112186
## 829 2014 1.000000000
## 830 2015 1.000000000
## 831 2016 1.500000000
## 832 2017 2.335714286
## 833 1966 0.674074074
## 834 1967 0.786666667
## 835 1968 0.736842105
## 836 1969 0.623529412
## 837 1970 0.616279070
## 838 1971 0.576271186
## 839 1972 1.000000000
## 840 1973 0.946808511
## 841 1974 0.938596491
## 842 1975 0.872727273
## 843 1976 0.926829268
## 844 1977 0.980198020
## 845 1978 0.850574713
## 846 1979 0.126436782
## 847 1980 0.888888889
## 848 1981 1.020408163
## 849 1982 0.553846154
## 850 1983 1.000000000
## 851 1984 0.705882353
## 852 1985 1.174418605
## 853 1986 0.579545455
## 854 1987 1.028037383
## 855 1988 0.963963964
## 856 1989 1.066037736
## 857 1990 1.054347826
## 858 1991 0.600000000
## 859 1992 0.950617284
## 860 1993 1.047619048
## 861 1994 0.705882353
## 862 1995 0.833333333
## 863 1996 0.757575758
## 864 1997 0.718085106
## 865 1998 0.907692308
## 866 1999 0.946666667
## 867 2000 0.703703704
## 868 2001 0.860000000
## 869 2002 0.745454545
## 870 2003 0.975609756
## 871 2004 0.702334630
## 872 2005 0.845315904
## 873 2006 0.684895833
## 874 2007 0.745098039
## 875 2008 1.380000000
## 876 2009 1.480769231
## 877 2010 1.710948905
## 878 2011 1.368131868
## 879 2012 1.582132565
## 880 2013 0.994871795
## 881 2014 2.000000000
## 882 2015 1.000000000
## 883 2016 2.000000000
## 884 2017 2.319736842
## 885 1966 0.234513274
## 886 1967 0.697674419
## 887 1968 0.287671233
## 888 1969 0.593023256
## 889 1970 0.626262626
## 890 1971 0.282258065
## 891 1972 0.845360825
## 892 1973 0.654970760
## 893 1974 0.607843137
## 894 1975 0.623036649
## 895 1976 0.550239234
## 896 1977 0.567415730
## 897 1978 0.471794872
## 898 1979 0.261306533
## 899 1980 0.502732240
## 900 1981 0.616580311
## 901 1982 0.500000000
## 902 1983 0.641304348
## 903 1984 0.613402062
## 904 1985 0.767441860
## 905 1986 0.692307692
## 906 1987 0.598958333
## 907 1988 0.608695652
## 908 1989 0.742268041
## 909 1990 0.791878173
## 910 1991 0.539267016
## 911 1992 0.780219780
## 912 1993 0.862944162
## 913 1994 0.657142857
## 914 1995 0.679558011
## 915 1996 0.756756757
## 916 1997 0.702947846
## 917 1998 0.759124088
## 918 1999 0.767857143
## 919 2000 0.875000000
## 920 2001 0.715231788
## 921 2002 0.685534591
## 922 2003 0.677215190
## 923 2004 0.850241546
## 924 2005 0.664580726
## 925 2006 0.618461538
## 926 2007 0.751552795
## 927 2008 0.824675325
## 928 2009 0.791304348
## 929 2010 1.022917831
## 930 2011 0.870195337
## 931 2012 1.019900498
## 932 2013 0.590429846
## 933 2014 0.947368421
## 934 2015 0.642857143
## 935 2016 1.318181818
## 936 2017 2.258039816
## 937 1966 0.210084034
## 938 1967 0.907692308
## 939 1968 0.520661157
## 940 1969 0.663461538
## 941 1970 0.675925926
## 942 1971 0.532467532
## 943 1972 0.947368421
## 944 1973 0.752380952
## 945 1974 0.554455446
## 946 1975 0.783783784
## 947 1976 0.658119658
## 948 1977 0.739837398
## 949 1978 0.750000000
## 950 1979 0.307017544
## 951 1980 0.608333333
## 952 1981 0.650000000
## 953 1982 0.326530612
## 954 1983 0.744827586
## 955 1984 0.764227642
## 956 1985 0.985074627
## 957 1986 0.750000000
## 958 1987 0.878571429
## 959 1988 0.797202797
## 960 1989 0.868613139
## 961 1990 0.860139860
## 962 1991 0.540145985
## 963 1992 0.784810127
## 964 1993 0.768786127
## 965 1994 0.602564103
## 966 1995 0.704819277
## 967 1996 0.611764706
## 968 1997 0.584760780
## 969 1998 0.762237762
## 970 1999 0.813253012
## 971 2000 0.807453416
## 972 2001 0.683870968
## 973 2002 0.658536585
## 974 2003 1.076388889
## 975 2004 1.005415162
## 976 2005 0.678861789
## 977 2006 0.881552076
## 978 2007 0.844311377
## 979 2008 0.901162791
## 980 2009 1.094117647
## 981 2010 1.179921038
## 982 2011 1.214285714
## 983 2012 1.644382022
## 984 2013 1.246606335
## 985 2014 1.150000000
## 986 2015 1.176470588
## 987 2016 1.500000000
## 988 2017 2.241599319
## 989 1966 0.479041916
## 990 1967 0.788888889
## 991 1968 0.672131148
## 992 1969 0.684563758
## 993 1970 0.675496689
## 994 1971 0.480392157
## 995 1972 1.107692308
## 996 1973 0.802816901
## 997 1974 0.705882353
## 998 1975 0.686746988
## 999 1976 0.639534884
## 1000 1977 0.645161290
## 1001 1978 0.539007092
## 1002 1979 0.143835616
## 1003 1980 0.600000000
## 1004 1981 0.730769231
## 1005 1982 0.432432432
## 1006 1983 0.743801653
## 1007 1984 0.620370370
## 1008 1985 0.819672131
## 1009 1986 0.627906977
## 1010 1987 0.762711864
## 1011 1988 0.664000000
## 1012 1989 0.808000000
## 1013 1990 0.841121495
## 1014 1991 0.564705882
## 1015 1992 0.835443038
## 1016 1993 0.761904762
## 1017 1994 0.646153846
## 1018 1995 0.761904762
## 1019 1996 0.620689655
## 1020 1997 0.582241630
## 1021 1998 0.787878788
## 1022 1999 0.846153846
## 1023 2000 0.693877551
## 1024 2001 0.871794872
## 1025 2002 0.542857143
## 1026 2003 0.914285714
## 1027 2004 0.755434783
## 1028 2005 0.858381503
## 1029 2006 0.678260870
## 1030 2007 0.636363636
## 1031 2008 0.828571429
## 1032 2009 0.900000000
## 1033 2010 1.142857143
## 1034 2011 0.858006042
## 1035 2012 1.313253012
## 1036 2013 0.755287009
## 1037 2014 1.333333333
## 1038 2015 0.500000000
## 1039 2016 2.142857143
## 1040 2017 2.476315789
## 1041 1966 0.376811594
## 1042 1967 0.875000000
## 1043 1968 0.528089888
## 1044 1969 0.477272727
## 1045 1970 0.626373626
## 1046 1971 0.474358974
## 1047 1972 0.785714286
## 1048 1973 0.742424242
## 1049 1974 0.727272727
## 1050 1975 0.767123288
## 1051 1976 0.718309859
## 1052 1977 0.791666667
## 1053 1978 0.738461538
## 1054 1979 0.160714286
## 1055 1980 0.753846154
## 1056 1981 0.750000000
## 1057 1982 0.433333333
## 1058 1983 0.786885246
## 1059 1984 0.606557377
## 1060 1985 0.983870968
## 1061 1986 0.796610169
## 1062 1987 0.830188679
## 1063 1988 0.785714286
## 1064 1989 0.918367347
## 1065 1990 1.000000000
## 1066 1991 0.611111111
## 1067 1992 0.864864865
## 1068 1993 0.851063830
## 1069 1994 0.600000000
## 1070 1995 0.800000000
## 1071 1996 0.727272727
## 1072 1997 0.906735751
## 1073 1998 0.804878049
## 1074 1999 0.926829268
## 1075 2000 0.743589744
## 1076 2001 0.818181818
## 1077 2002 0.764705882
## 1078 2003 1.028571429
## 1079 2004 0.828337875
## 1080 2005 0.851515152
## 1081 2006 0.889261745
## 1082 2007 0.851851852
## 1083 2008 1.000000000
## 1084 2009 0.962962963
## 1085 2010 1.231543624
## 1086 2011 0.952991453
## 1087 2012 1.217213115
## 1088 2013 1.235023041
## 1089 2014 1.500000000
## 1090 2015 1.000000000
## 1091 2016 1.000000000
## 1092 2017 2.134482759
## 1093 1966 0.674300254
## 1094 1967 1.099250936
## 1095 1968 0.876506024
## 1096 1969 0.863888889
## 1097 1970 0.860927152
## 1098 1971 0.694214876
## 1099 1972 1.154929577
## 1100 1973 1.130434783
## 1101 1974 1.147239264
## 1102 1975 1.260989011
## 1103 1976 1.370820669
## 1104 1977 1.294871795
## 1105 1978 1.159375000
## 1106 1979 1.230769231
## 1107 1980 1.313397129
## 1108 1981 0.993902439
## 1109 1982 0.978873239
## 1110 1983 1.421052632
## 1111 1984 1.720164609
## 1112 1985 1.694835681
## 1113 1986 1.277777778
## 1114 1987 0.763713080
## 1115 1988 1.283400810
## 1116 1989 1.142011834
## 1117 1990 1.593607306
## 1118 1991 1.206106870
## 1119 1992 1.927272727
## 1120 1993 1.711864407
## 1121 1994 1.250000000
## 1122 1995 1.576576577
## 1123 1996 1.611111111
## 1124 1997 1.911196911
## 1125 1998 1.704918033
## 1126 1999 2.111111111
## 1127 2000 0.000000000
## 1128 2001 1.808510638
## 1129 2002 0.628571429
## 1130 2003 2.277777778
## 1131 2004 2.079681275
## 1132 2005 2.221804511
## 1133 2006 2.009803922
## 1134 2007 1.266666667
## 1135 2008 2.107142857
## 1136 2009 2.375000000
## 1137 2010 2.938900204
## 1138 2011 2.301675978
## 1139 2012 2.733695652
## 1140 2013 1.679758308
## 1141 2014 2.000000000
## 1142 2015 1.571428571
## 1143 2016 2.090909091
## 1144 2017 2.509701493
## 1145 1966 0.458208955
## 1146 1967 0.493365501
## 1147 1968 0.428924598
## 1148 1969 0.293333333
## 1149 1970 0.498721228
## 1150 1971 0.217928903
## 1151 1972 0.581469649
## 1152 1973 0.488165680
## 1153 1974 0.707792208
## 1154 1975 0.341906203
## 1155 1976 0.440184049
## 1156 1977 0.340729002
## 1157 1978 0.237318841
## 1158 1979 0.304777595
## 1159 1980 0.765432099
## 1160 1981 0.561299852
## 1161 1982 0.359605911
## 1162 1983 0.523809524
## 1163 1984 0.521079258
## 1164 1985 0.632462687
## 1165 1986 0.290456432
## 1166 1987 0.696857671
## 1167 1988 0.623655914
## 1168 1989 0.284671533
## 1169 1990 0.589118199
## 1170 1991 0.385224274
## 1171 1992 0.610328638
## 1172 1993 0.591176471
## 1173 1994 0.353448276
## 1174 1995 0.453744493
## 1175 1996 0.442857143
## 1176 1997 0.463783220
## 1177 1998 0.541899441
## 1178 1999 0.595238095
## 1179 2000 0.704347826
## 1180 2001 0.723809524
## 1181 2002 0.723214286
## 1182 2003 0.775784753
## 1183 2004 0.628140704
## 1184 2005 0.979083665
## 1185 2006 0.905852417
## 1186 2007 0.595238095
## 1187 2008 0.970588235
## 1188 2009 1.127272727
## 1189 2010 1.256797583
## 1190 2011 1.025000000
## 1191 2012 1.111111111
## 1192 2013 0.750000000
## 1193 2014 1.000000000
## 1194 2015 1.000000000
## 1195 2016 NaN
## 1196 2017 1.975000000
## 1197 1966 0.729048519
## 1198 1967 0.670048051
## 1199 1968 0.450206246
## 1200 1969 0.379063719
## 1201 1970 0.505778382
## 1202 1971 0.382043935
## 1203 1972 0.756493506
## 1204 1973 0.597200622
## 1205 1974 0.796346414
## 1206 1975 0.325816485
## 1207 1976 0.715379262
## 1208 1977 0.656494523
## 1209 1978 0.464586847
## 1210 1979 0.309370988
## 1211 1980 0.717248908
## 1212 1981 0.826062323
## 1213 1982 0.321960298
## 1214 1983 0.737916950
## 1215 1984 0.740136054
## 1216 1985 0.592867756
## 1217 1986 0.395989975
## 1218 1987 0.788593156
## 1219 1988 0.904723779
## 1220 1989 0.591836735
## 1221 1990 0.692686935
## 1222 1991 0.423640167
## 1223 1992 1.023478261
## 1224 1993 0.846884900
## 1225 1994 0.533733133
## 1226 1995 0.672752809
## 1227 1996 0.666141732
## 1228 1997 0.814040329
## 1229 1998 0.857644991
## 1230 1999 0.710280374
## 1231 2000 0.928039702
## 1232 2001 0.754929577
## 1233 2002 0.345930233
## 1234 2003 1.044776119
## 1235 2004 0.947876448
## 1236 2005 0.859331903
## 1237 2006 0.883710988
## 1238 2007 0.932773109
## 1239 2008 0.856287425
## 1240 2009 0.842857143
## 1241 2010 0.975581395
## 1242 2011 1.067975831
## 1243 2012 0.912698413
## 1244 2013 0.818181818
## 1245 2014 1.000000000
## 1246 2015 0.500000000
## 1247 2016 1.000000000
## 1248 2017 2.130000000
## 1249 1966 0.512820513
## 1250 1967 0.229813665
## 1251 1968 0.502793296
## 1252 1969 0.364640884
## 1253 1970 0.484076433
## 1254 1971 0.500000000
## 1255 1972 0.832487310
## 1256 1973 0.815573770
## 1257 1974 0.698979592
## 1258 1975 0.689189189
## 1259 1976 0.789473684
## 1260 1977 0.740112994
## 1261 1978 0.663507109
## 1262 1979 0.078651685
## 1263 1980 0.729007634
## 1264 1981 0.730569948
## 1265 1982 0.554347826
## 1266 1983 0.788732394
## 1267 1984 0.931937173
## 1268 1985 0.923529412
## 1269 1986 0.592857143
## 1270 1987 0.754098361
## 1271 1988 0.864864865
## 1272 1989 0.932330827
## 1273 1990 0.940000000
## 1274 1991 0.725490196
## 1275 1992 0.960526316
## 1276 1993 0.862068966
## 1277 1994 0.574468085
## 1278 1995 0.901639344
## 1279 1996 0.881355932
## 1280 1997 1.011235955
## 1281 1998 0.972727273
## 1282 1999 1.000000000
## 1283 2000 1.184615385
## 1284 2001 1.111111111
## 1285 2002 0.487804878
## 1286 2003 0.931818182
## 1287 2004 0.641618497
## 1288 2005 1.107558140
## 1289 2006 1.059375000
## 1290 2007 0.894736842
## 1291 2008 0.869565217
## 1292 2009 1.100000000
## 1293 2010 1.210191083
## 1294 2011 1.183544304
## 1295 2012 1.341935484
## 1296 2013 1.008196721
## 1297 2014 1.000000000
## 1298 2015 1.000000000
## 1299 2016 1.000000000
## 1300 2017 2.319565217
## 1301 1966 0.865900383
## 1302 1967 0.520618557
## 1303 1968 0.449704142
## 1304 1969 0.874730022
## 1305 1970 0.410071942
## 1306 1971 0.751572327
## 1307 1972 1.138504155
## 1308 1973 0.995708155
## 1309 1974 0.820512821
## 1310 1975 0.651063830
## 1311 1976 0.752577320
## 1312 1977 0.816513761
## 1313 1978 0.676923077
## 1314 1979 0.353503185
## 1315 1980 0.680250784
## 1316 1981 0.629090909
## 1317 1982 0.546610169
## 1318 1983 0.837944664
## 1319 1984 1.016736402
## 1320 1985 1.057591623
## 1321 1986 0.939068100
## 1322 1987 0.973821990
## 1323 1988 0.985000000
## 1324 1989 0.951724138
## 1325 1990 0.983333333
## 1326 1991 0.898989899
## 1327 1992 1.125000000
## 1328 1993 0.974683544
## 1329 1994 0.625000000
## 1330 1995 0.910714286
## 1331 1996 0.789473684
## 1332 1997 0.959692898
## 1333 1998 1.018867925
## 1334 1999 0.931034483
## 1335 2000 0.744680851
## 1336 2001 0.918367347
## 1337 2002 0.555555556
## 1338 2003 1.487804878
## 1339 2004 0.913043478
## 1340 2005 1.069284065
## 1341 2006 1.202643172
## 1342 2007 1.135135135
## 1343 2008 1.193548387
## 1344 2009 1.240000000
## 1345 2010 1.373456790
## 1346 2011 1.281456954
## 1347 2012 1.962264151
## 1348 2013 1.719512195
## 1349 2014 1.500000000
## 1350 2015 2.000000000
## 1351 2016 NaN
## 1352 2017 2.109090909
## 1353 1966 0.707903780
## 1354 1967 0.908814590
## 1355 1968 0.917748918
## 1356 1969 0.755905512
## 1357 1970 0.795811518
## 1358 1971 0.786561265
## 1359 1972 1.154166667
## 1360 1973 1.075000000
## 1361 1974 0.929648241
## 1362 1975 1.031674208
## 1363 1976 1.118942731
## 1364 1977 0.993865031
## 1365 1978 1.021551724
## 1366 1979 0.197718631
## 1367 1980 1.019379845
## 1368 1981 0.787610619
## 1369 1982 0.783653846
## 1370 1983 0.940425532
## 1371 1984 1.165000000
## 1372 1985 0.966824645
## 1373 1986 1.142076503
## 1374 1987 0.955645161
## 1375 1988 1.248888889
## 1376 1989 1.231884058
## 1377 1990 1.210280374
## 1378 1991 1.151162791
## 1379 1992 1.391089109
## 1380 1993 1.312138728
## 1381 1994 1.045454545
## 1382 1995 1.057324841
## 1383 1996 1.195266272
## 1384 1997 1.233541234
## 1385 1998 1.123376623
## 1386 1999 1.254716981
## 1387 2000 0.244094488
## 1388 2001 1.256198347
## 1389 2002 1.276190476
## 1390 2003 1.463636364
## 1391 2004 1.369341564
## 1392 2005 1.307548928
## 1393 2006 1.026897214
## 1394 2007 1.292929293
## 1395 2008 1.070422535
## 1396 2009 1.206896552
## 1397 2010 1.673600000
## 1398 2011 1.519936204
## 1399 2012 1.355371901
## 1400 2013 2.465020576
## 1401 2014 2.285714286
## 1402 2015 2.500000000
## 1403 2016 2.000000000
## 1404 2017 2.539823009
## 1405 1966 0.859344894
## 1406 1967 0.986696231
## 1407 1968 0.784518828
## 1408 1969 0.542035398
## 1409 1970 0.713958810
## 1410 1971 0.821339950
## 1411 1972 0.971751412
## 1412 1973 0.995012469
## 1413 1974 1.009842520
## 1414 1975 0.797647059
## 1415 1976 0.751091703
## 1416 1977 0.732265446
## 1417 1978 0.602771363
## 1418 1979 0.764587525
## 1419 1980 0.567765568
## 1420 1981 1.046966732
## 1421 1982 0.590733591
## 1422 1983 0.804081633
## 1423 1984 0.973415133
## 1424 1985 0.954081633
## 1425 1986 0.860189573
## 1426 1987 0.879396985
## 1427 1988 1.101851852
## 1428 1989 1.207317073
## 1429 1990 1.150684932
## 1430 1991 1.050781250
## 1431 1992 1.153846154
## 1432 1993 1.080536913
## 1433 1994 0.851851852
## 1434 1995 1.216666667
## 1435 1996 1.200000000
## 1436 1997 0.816326531
## 1437 1998 1.142857143
## 1438 1999 1.333333333
## 1439 2000 1.400000000
## 1440 2001 0.909090909
## 1441 2002 1.117647059
## 1442 2003 1.294117647
## 1443 2004 1.219780220
## 1444 2005 1.302325581
## 1445 2006 1.325581395
## 1446 2007 1.500000000
## 1447 2008 1.666666667
## 1448 2009 1.000000000
## 1449 2010 2.041666667
## 1450 2011 1.800000000
## 1451 2012 1.850000000
## 1452 2013 1.166666667
## 1453 2014 NaN
## 1454 2015 NaN
## 1455 2016 NaN
## 1456 2017 2.300000000
## 1457 1966 0.658959538
## 1458 1967 0.992877493
## 1459 1968 0.495948136
## 1460 1969 0.672676838
## 1461 1970 0.750798722
## 1462 1971 0.466666667
## 1463 1972 0.652373660
## 1464 1973 0.528487230
## 1465 1974 0.986363636
## 1466 1975 0.758747698
## 1467 1976 0.622916667
## 1468 1977 0.448140900
## 1469 1978 0.623552124
## 1470 1979 0.457463884
## 1471 1980 0.791608392
## 1472 1981 0.592592593
## 1473 1982 0.529118136
## 1474 1983 0.735652174
## 1475 1984 0.855822551
## 1476 1985 0.802946593
## 1477 1986 0.671378092
## 1478 1987 0.557894737
## 1479 1988 0.953376206
## 1480 1989 1.044247788
## 1481 1990 0.902313625
## 1482 1991 0.839857651
## 1483 1992 0.919540230
## 1484 1993 0.995283019
## 1485 1994 0.776119403
## 1486 1995 1.046728972
## 1487 1996 1.010752688
## 1488 1997 1.428571429
## 1489 1998 1.106382979
## 1490 1999 1.350000000
## 1491 2000 1.294117647
## 1492 2001 1.208333333
## 1493 2002 0.611111111
## 1494 2003 1.550264550
## 1495 2004 1.448101266
## 1496 2005 1.813253012
## 1497 2006 1.900000000
## 1498 2007 1.923076923
## 1499 2008 2.083333333
## 1500 2009 2.033333333
## 1501 2010 2.325581395
## 1502 2011 NaN
## 1503 2012 NaN
## 1504 2013 2.000000000
## 1505 2014 NaN
## 1506 2015 NaN
## 1507 2016 NaN
## 1508 2017 1.750000000
## 1509 1966 0.720103426
## 1510 1967 1.021505376
## 1511 1968 0.934501142
## 1512 1969 0.526073620
## 1513 1970 0.865060241
## 1514 1971 0.698214286
## 1515 1972 0.696186962
## 1516 1973 0.494477485
## 1517 1974 0.957919345
## 1518 1975 0.710617627
## 1519 1976 0.569099379
## 1520 1977 0.945601075
## 1521 1978 0.787963611
## 1522 1979 0.790160047
## 1523 1980 1.080342796
## 1524 1981 0.929922136
## 1525 1982 1.079665738
## 1526 1983 1.394473839
## 1527 1984 0.960893855
## 1528 1985 1.214739517
## 1529 1986 0.924018030
## 1530 1987 1.199115044
## 1531 1988 1.362930078
## 1532 1989 1.268518519
## 1533 1990 0.832412523
## 1534 1991 0.868458274
## 1535 1992 1.410000000
## 1536 1993 1.118518519
## 1537 1994 0.942748092
## 1538 1995 1.078431373
## 1539 1996 0.601123596
## 1540 1997 0.897435897
## 1541 1998 1.181818182
## 1542 1999 1.065217391
## 1543 2000 0.235294118
## 1544 2001 0.680851064
## 1545 2002 1.370967742
## 1546 2003 1.260869565
## 1547 2004 0.723123732
## 1548 2005 1.043041607
## 1549 2006 0.971713810
## 1550 2007 1.195652174
## 1551 2008 0.871794872
## 1552 2009 1.142857143
## 1553 2010 0.880308880
## 1554 2011 0.694444444
## 1555 2012 0.982758621
## 1556 2013 0.553846154
## 1557 2014 NaN
## 1558 2015 NaN
## 1559 2016 NaN
## 1560 2017 2.166666667
## 1561 1966 0.484198646
## 1562 1967 0.652941176
## 1563 1968 0.416324134
## 1564 1969 0.601081081
## 1565 1970 0.709771796
## 1566 1971 0.558007566
## 1567 1972 0.802036199
## 1568 1973 0.297969876
## 1569 1974 0.833952255
## 1570 1975 0.704907975
## 1571 1976 0.453915454
## 1572 1977 0.513200258
## 1573 1978 0.698973042
## 1574 1979 0.427684668
## 1575 1980 0.766685052
## 1576 1981 0.665178571
## 1577 1982 0.599866844
## 1578 1983 0.843909555
## 1579 1984 0.548288973
## 1580 1985 0.702814570
## 1581 1986 0.448215840
## 1582 1987 0.460251046
## 1583 1988 0.839963834
## 1584 1989 0.651813472
## 1585 1990 0.659893048
## 1586 1991 0.594237695
## 1587 1992 0.818181818
## 1588 1993 0.714697406
## 1589 1994 0.668593449
## 1590 1995 0.656470588
## 1591 1996 0.460937500
## 1592 1997 0.608940514
## 1593 1998 0.879069767
## 1594 1999 0.795454545
## 1595 2000 0.320000000
## 1596 2001 0.544502618
## 1597 2002 0.601895735
## 1598 2003 1.378446115
## 1599 2004 0.819430315
## 1600 2005 0.707703384
## 1601 2006 0.624786325
## 1602 2007 0.678160920
## 1603 2008 0.797297297
## 1604 2009 0.756756757
## 1605 2010 1.037701975
## 1606 2011 0.975510204
## 1607 2012 1.192660550
## 1608 2013 0.955223881
## 1609 2014 1.000000000
## 1610 2015 NaN
## 1611 2016 NaN
## 1612 2017 2.186746988
## 1613 1966 0.738853503
## 1614 1967 1.097729516
## 1615 1968 0.950304260
## 1616 1969 0.928786359
## 1617 1970 0.645484950
## 1618 1971 0.799525504
## 1619 1972 0.964083176
## 1620 1973 0.464028777
## 1621 1974 1.154228856
## 1622 1975 0.661637931
## 1623 1976 0.912218268
## 1624 1977 1.091772152
## 1625 1978 0.920997921
## 1626 1979 0.967741935
## 1627 1980 0.922213312
## 1628 1981 1.383132530
## 1629 1982 1.209321341
## 1630 1983 1.248479583
## 1631 1984 0.957798165
## 1632 1985 1.410714286
## 1633 1986 1.060000000
## 1634 1987 1.517399267
## 1635 1988 1.292919496
## 1636 1989 1.614634146
## 1637 1990 1.125456760
## 1638 1991 1.314037627
## 1639 1992 1.501557632
## 1640 1993 1.240837696
## 1641 1994 0.892682927
## 1642 1995 1.125683060
## 1643 1996 1.025723473
## 1644 1997 1.080125687
## 1645 1998 1.448275862
## 1646 1999 0.785714286
## 1647 2000 1.070967742
## 1648 2001 1.251497006
## 1649 2002 1.359116022
## 1650 2003 1.653846154
## 1651 2004 0.962942167
## 1652 2005 1.417046194
## 1653 2006 1.316171139
## 1654 2007 1.450000000
## 1655 2008 1.515463918
## 1656 2009 1.215909091
## 1657 2010 1.259615385
## 1658 2011 1.047957371
## 1659 2012 1.446875000
## 1660 2013 0.843220339
## 1661 2014 2.000000000
## 1662 2015 0.000000000
## 1663 2016 2.500000000
## 1664 2017 2.311428571
## 1665 1966 0.322485207
## 1666 1967 0.801111111
## 1667 1968 0.376126126
## 1668 1969 0.330672748
## 1669 1970 0.307228916
## 1670 1971 0.214929215
## 1671 1972 0.468973747
## 1672 1973 0.307873090
## 1673 1974 0.400662252
## 1674 1975 0.486363636
## 1675 1976 0.271510516
## 1676 1977 0.507223114
## 1677 1978 0.659744409
## 1678 1979 0.434782609
## 1679 1980 0.416452442
## 1680 1981 0.230664858
## 1681 1982 0.456790123
## 1682 1983 0.488145049
## 1683 1984 0.522309711
## 1684 1985 0.417033774
## 1685 1986 0.480938416
## 1686 1987 0.383610451
## 1687 1988 0.631828979
## 1688 1989 0.645466847
## 1689 1990 0.434343434
## 1690 1991 0.419801980
## 1691 1992 0.680244399
## 1692 1993 0.512562814
## 1693 1994 0.307917889
## 1694 1995 0.515923567
## 1695 1996 0.498327759
## 1696 1997 0.633226610
## 1697 1998 0.583673469
## 1698 1999 0.428571429
## 1699 2000 0.242009132
## 1700 2001 0.548523207
## 1701 2002 0.584415584
## 1702 2003 0.719512195
## 1703 2004 0.626953125
## 1704 2005 0.677083333
## 1705 2006 0.829823563
## 1706 2007 0.994011976
## 1707 2008 0.961783439
## 1708 2009 1.500000000
## 1709 2010 1.107117182
## 1710 2011 1.249420849
## 1711 2012 1.763113367
## 1712 2013 1.170301142
## 1713 2014 1.666666667
## 1714 2015 1.100000000
## 1715 2016 1.200000000
## 1716 2017 2.125294118
## 1717 1966 0.575144509
## 1718 1967 0.695970696
## 1719 1968 0.401179941
## 1720 1969 0.591687042
## 1721 1970 0.422651934
## 1722 1971 0.503703704
## 1723 1972 0.501501502
## 1724 1973 0.412103746
## 1725 1974 0.625000000
## 1726 1975 0.786290323
## 1727 1976 0.632432432
## 1728 1977 0.605381166
## 1729 1978 0.527196653
## 1730 1979 0.550000000
## 1731 1980 0.741477273
## 1732 1981 0.707602339
## 1733 1982 0.421965318
## 1734 1983 0.705263158
## 1735 1984 0.653295129
## 1736 1985 0.302052786
## 1737 1986 0.700729927
## 1738 1987 0.476265823
## 1739 1988 0.726618705
## 1740 1989 0.783475783
## 1741 1990 0.758278146
## 1742 1991 0.439215686
## 1743 1992 0.891566265
## 1744 1993 0.675126904
## 1745 1994 0.547058824
## 1746 1995 0.603351955
## 1747 1996 0.643678161
## 1748 1997 0.682510664
## 1749 1998 0.647058824
## 1750 1999 0.514705882
## 1751 2000 0.366197183
## 1752 2001 0.581395349
## 1753 2002 0.651428571
## 1754 2003 0.890710383
## 1755 2004 0.773968623
## 1756 2005 0.795479603
## 1757 2006 0.817739976
## 1758 2007 1.086705202
## 1759 2008 1.018292683
## 1760 2009 1.063694268
## 1761 2010 1.255813953
## 1762 2011 1.075539568
## 1763 2012 1.263381995
## 1764 2013 1.560377358
## 1765 2014 1.090909091
## 1766 2015 1.416666667
## 1767 2016 1.461538462
## 1768 2017 2.345544554
## 1769 1966 0.210104744
## 1770 1967 0.785869565
## 1771 1968 0.685517970
## 1772 1969 0.633723892
## 1773 1970 0.392028254
## 1774 1971 0.606183477
## 1775 1972 0.580750408
## 1776 1973 0.619852165
## 1777 1974 0.870357866
## 1778 1975 0.618709677
## 1779 1976 0.557153671
## 1780 1977 0.720309206
## 1781 1978 0.674202128
## 1782 1979 0.348180678
## 1783 1980 0.567680382
## 1784 1981 0.767962309
## 1785 1982 0.671865973
## 1786 1983 1.022504328
## 1787 1984 0.561081081
## 1788 1985 0.690058480
## 1789 1986 0.749866382
## 1790 1987 0.754038562
## 1791 1988 0.898037077
## 1792 1989 0.992029756
## 1793 1990 0.978615644
## 1794 1991 0.795140806
## 1795 1992 1.297164667
## 1796 1993 0.982042649
## 1797 1994 0.904109589
## 1798 1995 0.956800934
## 1799 1996 1.161327231
## 1800 1997 1.119097782
## 1801 1998 1.115776081
## 1802 1999 0.579570688
## 1803 2000 0.687987520
## 1804 2001 1.018223235
## 1805 2002 0.974497682
## 1806 2003 1.349358974
## 1807 2004 0.995218072
## 1808 2005 0.944326931
## 1809 2006 1.126963351
## 1810 2007 1.151542650
## 1811 2008 1.304889741
## 1812 2009 1.549462366
## 1813 2010 1.562506286
## 1814 2011 2.510749348
## 1815 2012 1.867647059
## 1816 2013 1.728650539
## 1817 2014 2.666666667
## 1818 2015 2.365384615
## 1819 2016 2.886363636
## 1820 2017 2.717919075
## 1821 1966 0.743761996
## 1822 1967 0.779151943
## 1823 1968 0.798716921
## 1824 1969 0.596431606
## 1825 1970 0.731728289
## 1826 1971 0.815476190
## 1827 1972 0.814011676
## 1828 1973 0.697600000
## 1829 1974 0.981199642
## 1830 1975 0.827711942
## 1831 1976 0.786483839
## 1832 1977 0.697612732
## 1833 1978 0.670886076
## 1834 1979 0.519373454
## 1835 1980 0.572734830
## 1836 1981 0.905763952
## 1837 1982 0.857397504
## 1838 1983 0.984888889
## 1839 1984 0.995016611
## 1840 1985 1.120462046
## 1841 1986 0.416800000
## 1842 1987 0.819956616
## 1843 1988 0.514161220
## 1844 1989 0.857493857
## 1845 1990 0.845890411
## 1846 1991 0.661259542
## 1847 1992 1.099909173
## 1848 1993 0.841889117
## 1849 1994 0.513481829
## 1850 1995 0.638922889
## 1851 1996 0.828539823
## 1852 1997 1.215263376
## 1853 1998 0.955040872
## 1854 1999 1.123924269
## 1855 2000 0.644820296
## 1856 2001 1.081419624
## 1857 2002 1.590336134
## 1858 2003 1.028446389
## 1859 2004 0.949746193
## 1860 2005 0.832530765
## 1861 2006 1.091038003
## 1862 2007 1.267241379
## 1863 2008 1.309309309
## 1864 2009 1.027027027
## 1865 2010 1.570987654
## 1866 2011 1.527737752
## 1867 2012 2.357971014
## 1868 2013 2.152811736
## 1869 2014 1.846153846
## 1870 2015 1.500000000
## 1871 2016 3.111111111
## 1872 2017 2.994339623
## 1873 1966 0.803967328
## 1874 1967 0.994407159
## 1875 1968 0.647331787
## 1876 1969 0.541273585
## 1877 1970 0.516823688
## 1878 1971 0.787050360
## 1879 1972 1.116493656
## 1880 1973 0.639087019
## 1881 1974 1.004005340
## 1882 1975 0.615384615
## 1883 1976 0.738525730
## 1884 1977 0.887186630
## 1885 1978 0.648183556
## 1886 1979 0.973437500
## 1887 1980 0.983568075
## 1888 1981 1.081987578
## 1889 1982 0.918395574
## 1890 1983 0.884415584
## 1891 1984 1.025850340
## 1892 1985 1.064873418
## 1893 1986 1.086355786
## 1894 1987 1.327205882
## 1895 1988 1.159049360
## 1896 1989 1.267223382
## 1897 1990 1.176119403
## 1898 1991 1.111111111
## 1899 1992 1.290540541
## 1900 1993 1.233333333
## 1901 1994 0.869318182
## 1902 1995 1.098684211
## 1903 1996 0.929936306
## 1904 1997 0.849236641
## 1905 1998 0.886792453
## 1906 1999 1.173913043
## 1907 2000 1.263157895
## 1908 2001 1.180327869
## 1909 2002 1.481012658
## 1910 2003 1.654320988
## 1911 2004 1.591317365
## 1912 2005 1.570075758
## 1913 2006 1.723404255
## 1914 2007 1.585365854
## 1915 2008 1.741935484
## 1916 2009 2.151515152
## 1917 2010 1.951871658
## 1918 2011 2.858585859
## 1919 2012 1.684210526
## 1920 2013 1.147826087
## 1921 2014 2.000000000
## 1922 2015 2.000000000
## 1923 2016 1.333333333
## 1924 2017 2.282926829
## 1925 1966 0.802469136
## 1926 1967 1.000000000
## 1927 1968 0.957142857
## 1928 1969 0.754601227
## 1929 1970 0.764705882
## 1930 1971 0.750000000
## 1931 1972 0.881889764
## 1932 1973 0.860139860
## 1933 1974 0.991666667
## 1934 1975 1.007936508
## 1935 1976 1.075471698
## 1936 1977 1.134453782
## 1937 1978 0.817307692
## 1938 1979 1.163265306
## 1939 1980 1.064327485
## 1940 1981 1.071428571
## 1941 1982 0.810457516
## 1942 1983 1.008064516
## 1943 1984 1.224806202
## 1944 1985 1.284482759
## 1945 1986 1.443396226
## 1946 1987 1.520000000
## 1947 1988 1.375000000
## 1948 1989 1.504201681
## 1949 1990 1.465116279
## 1950 1991 1.548387097
## 1951 1992 1.692307692
## 1952 1993 1.555555556
## 1953 1994 1.071428571
## 1954 1995 1.733333333
## 1955 1996 1.727272727
## 1956 1997 2.337662338
## 1957 1998 1.888888889
## 1958 1999 2.250000000
## 1959 2000 1.727272727
## 1960 2001 1.461538462
## 1961 2002 1.600000000
## 1962 2003 1.923076923
## 1963 2004 1.785714286
## 1964 2005 2.068493151
## 1965 2006 2.162393162
## 1966 2007 2.125000000
## 1967 2008 2.285714286
## 1968 2009 2.500000000
## 1969 2010 2.931034483
## 1970 2011 2.500000000
## 1971 2012 2.600000000
## 1972 2013 1.750000000
## 1973 2014 NaN
## 1974 2015 NaN
## 1975 2016 NaN
## 1976 2017 1.853846154
## 1977 1966 0.583333333
## 1978 1967 0.743961353
## 1979 1968 0.573170732
## 1980 1969 0.380566802
## 1981 1970 0.535856574
## 1982 1971 0.407792208
## 1983 1972 0.800407332
## 1984 1973 0.364089776
## 1985 1974 0.883990719
## 1986 1975 0.338870432
## 1987 1976 0.887201735
## 1988 1977 0.636363636
## 1989 1978 0.489510490
## 1990 1979 0.465447154
## 1991 1980 0.627906977
## 1992 1981 0.641958042
## 1993 1982 0.410714286
## 1994 1983 0.806691450
## 1995 1984 0.905829596
## 1996 1985 1.136490251
## 1997 1986 1.008264463
## 1998 1987 1.075675676
## 1999 1988 0.972125436
## 2000 1989 0.990243902
## 2001 1990 0.834821429
## 2002 1991 0.993243243
## 2003 1992 1.010563380
## 2004 1993 0.952789700
## 2005 1994 0.628318584
## 2006 1995 0.940397351
## 2007 1996 0.888000000
## 2008 1997 1.045891142
## 2009 1998 0.988095238
## 2010 1999 1.166666667
## 2011 2000 1.254545455
## 2012 2001 1.193548387
## 2013 2002 0.987179487
## 2014 2003 1.301886792
## 2015 2004 1.200968523
## 2016 2005 1.447368421
## 2017 2006 1.475452196
## 2018 2007 1.400000000
## 2019 2008 1.500000000
## 2020 2009 1.750000000
## 2021 2010 1.928571429
## 2022 2011 1.900000000
## 2023 2012 2.000000000
## 2024 2013 1.153846154
## 2025 2014 2.000000000
## 2026 2015 2.000000000
## 2027 2016 NaN
## 2028 2017 2.450000000
## 2029 1966 0.228758170
## 2030 1967 0.677867903
## 2031 1968 0.500613497
## 2032 1969 0.554669704
## 2033 1970 0.439790576
## 2034 1971 0.787182588
## 2035 1972 0.323910483
## 2036 1973 0.416208791
## 2037 1974 0.667574932
## 2038 1975 0.456043956
## 2039 1976 0.284457478
## 2040 1977 0.576972833
## 2041 1978 0.350069735
## 2042 1979 0.721153846
## 2043 1980 0.734193548
## 2044 1981 0.653553299
## 2045 1982 0.785960875
## 2046 1983 0.628368794
## 2047 1984 1.034263959
## 2048 1985 0.755905512
## 2049 1986 0.402597403
## 2050 1987 0.715394567
## 2051 1988 0.599755202
## 2052 1989 0.976000000
## 2053 1990 0.764179104
## 2054 1991 0.599018003
## 2055 1992 1.027331190
## 2056 1993 0.672566372
## 2057 1994 0.389830508
## 2058 1995 1.089219331
## 2059 1996 0.838150289
## 2060 1997 0.412566238
## 2061 1998 0.711453744
## 2062 1999 0.619834711
## 2063 2000 0.641393443
## 2064 2001 0.851351351
## 2065 2002 0.965844402
## 2066 2003 1.387159533
## 2067 2004 0.653007671
## 2068 2005 1.394990762
## 2069 2006 0.918057996
## 2070 2007 0.942430704
## 2071 2008 1.079002079
## 2072 2009 1.002087683
## 2073 2010 1.341083413
## 2074 2011 1.034155034
## 2075 2012 1.457293035
## 2076 2013 1.274741507
## 2077 2014 1.400000000
## 2078 2015 1.636363636
## 2079 2016 1.647058824
## 2080 2017 2.310666667
## 2081 1966 0.795270270
## 2082 1967 0.823056300
## 2083 1968 0.717048711
## 2084 1969 0.574898785
## 2085 1970 0.534133533
## 2086 1971 0.528228925
## 2087 1972 0.686823679
## 2088 1973 0.390374332
## 2089 1974 0.999384994
## 2090 1975 0.603276353
## 2091 1976 0.578655579
## 2092 1977 0.728299224
## 2093 1978 0.778021978
## 2094 1979 0.354216867
## 2095 1980 0.610120759
## 2096 1981 0.758797654
## 2097 1982 0.595806218
## 2098 1983 0.941269841
## 2099 1984 0.484177215
## 2100 1985 0.734968354
## 2101 1986 0.474730737
## 2102 1987 0.989473684
## 2103 1988 0.590570720
## 2104 1989 0.489903424
## 2105 1990 0.677820268
## 2106 1991 0.321138211
## 2107 1992 0.756487026
## 2108 1993 0.938494168
## 2109 1994 0.308176101
## 2110 1995 0.505776637
## 2111 1996 0.387387387
## 2112 1997 0.820553360
## 2113 1998 1.075806452
## 2114 1999 0.534693878
## 2115 2000 0.379716981
## 2116 2001 0.540425532
## 2117 2002 0.503267974
## 2118 2003 1.377176015
## 2119 2004 0.841027875
## 2120 2005 1.043896714
## 2121 2006 1.015869199
## 2122 2007 1.257575758
## 2123 2008 1.302395210
## 2124 2009 1.249275362
## 2125 2010 1.173913043
## 2126 2011 0.956140351
## 2127 2012 1.205218618
## 2128 2013 0.502237136
## 2129 2014 1.200000000
## 2130 2015 1.400000000
## 2131 2016 1.000000000
## 2132 2017 1.800000000
## 2133 1966 0.877761414
## 2134 1967 1.106959707
## 2135 1968 0.917501928
## 2136 1969 0.722060958
## 2137 1970 0.767576510
## 2138 1971 1.031879195
## 2139 1972 0.921944035
## 2140 1973 0.337391304
## 2141 1974 1.092443140
## 2142 1975 0.910801964
## 2143 1976 1.063011457
## 2144 1977 1.007788162
## 2145 1978 0.889559965
## 2146 1979 0.724949563
## 2147 1980 0.979698756
## 2148 1981 1.016613419
## 2149 1982 0.865965834
## 2150 1983 1.171991842
## 2151 1984 0.762071379
## 2152 1985 0.905135521
## 2153 1986 0.620985011
## 2154 1987 1.167240193
## 2155 1988 0.967948718
## 2156 1989 1.250421585
## 2157 1990 1.103571429
## 2158 1991 0.741258741
## 2159 1992 1.358387800
## 2160 1993 1.713933416
## 2161 1994 0.878164557
## 2162 1995 1.001869159
## 2163 1996 0.905579399
## 2164 1997 1.387030365
## 2165 1998 1.228346457
## 2166 1999 1.474509804
## 2167 2000 0.920792079
## 2168 2001 1.164179104
## 2169 2002 1.640926641
## 2170 2003 1.381868132
## 2171 2004 1.370973451
## 2172 2005 1.372940764
## 2173 2006 1.157894737
## 2174 2007 1.586956522
## 2175 2008 1.669811321
## 2176 2009 1.308411215
## 2177 2010 1.833120205
## 2178 2011 1.317149569
## 2179 2012 1.154347826
## 2180 2013 1.032442748
## 2181 2014 0.142857143
## 2182 2015 1.166666667
## 2183 2016 1.750000000
## 2184 2017 1.911111111
## 2185 1966 0.916030534
## 2186 1967 0.954761905
## 2187 1968 1.052083333
## 2188 1969 0.703324808
## 2189 1970 0.788834951
## 2190 1971 0.679245283
## 2191 1972 0.945000000
## 2192 1973 0.769423559
## 2193 1974 0.917847025
## 2194 1975 0.777126100
## 2195 1976 0.830188679
## 2196 1977 0.887931034
## 2197 1978 0.685185185
## 2198 1979 0.905405405
## 2199 1980 0.840193705
## 2200 1981 0.876213592
## 2201 1982 0.675126904
## 2202 1983 0.834975369
## 2203 1984 1.002538071
## 2204 1985 1.015113350
## 2205 1986 0.925373134
## 2206 1987 0.971428571
## 2207 1988 0.877729258
## 2208 1989 0.963636364
## 2209 1990 0.965753425
## 2210 1991 0.923076923
## 2211 1992 1.000000000
## 2212 1993 0.971428571
## 2213 1994 0.696969697
## 2214 1995 1.000000000
## 2215 1996 1.000000000
## 2216 1997 1.111111111
## 2217 1998 1.037037037
## 2218 1999 1.090909091
## 2219 2000 0.582352941
## 2220 2001 1.100000000
## 2221 2002 1.000000000
## 2222 2003 1.392857143
## 2223 2004 1.347222222
## 2224 2005 1.292452830
## 2225 2006 1.206278027
## 2226 2007 1.411764706
## 2227 2008 1.466666667
## 2228 2009 1.428571429
## 2229 2010 2.034188034
## 2230 2011 1.630136986
## 2231 2012 2.428571429
## 2232 2013 1.222222222
## 2233 2014 1.000000000
## 2234 2015 2.000000000
## 2235 2016 2.000000000
## 2236 2017 2.242500000
## 2237 1966 0.500000000
## 2238 1967 0.480000000
## 2239 1968 0.358974359
## 2240 1969 0.466666667
## 2241 1970 0.333333333
## 2242 1971 0.481481481
## 2243 1972 0.350000000
## 2244 1973 0.375000000
## 2245 1974 0.451612903
## 2246 1975 0.300000000
## 2247 1976 0.450000000
## 2248 1977 0.631578947
## 2249 1978 0.666666667
## 2250 1979 0.777777778
## 2251 1980 0.285714286
## 2252 1981 0.750000000
## 2253 1982 0.400000000
## 2254 1983 0.473684211
## 2255 1984 0.428571429
## 2256 1985 0.500000000
## 2257 1986 0.600000000
## 2258 1987 0.285714286
## 2259 1988 0.461538462
## 2260 1989 0.428571429
## 2261 1990 0.582608696
## 2262 1991 0.412844037
## 2263 1992 0.632911392
## 2264 1993 1.000000000
## 2265 1994 NaN
## 2266 1995 0.000000000
## 2267 1996 1.000000000
## 2268 1997 0.000000000
## 2269 1998 0.000000000
## 2270 1999 0.269230769
## 2271 2000 0.369230769
## 2272 2001 0.594594595
## 2273 2002 0.343750000
## 2274 2003 2.921568627
## 2275 2004 0.553191489
## 2276 2005 0.538461538
## 2277 2006 0.720000000
## 2278 2007 2.192307692
## 2279 2008 2.574468085
## 2280 2009 1.170731707
## 2281 2010 1.472222222
## 2282 2011 2.093750000
## 2283 2012 2.666666667
## 2284 2013 1.777777778
## 2285 2014 1.600000000
## 2286 2015 1.000000000
## 2287 2016 1.500000000
## 2288 2017 1.000000000
## 2289 1966 0.509803922
## 2290 1967 0.491228070
## 2291 1968 0.487179487
## 2292 1969 0.455284553
## 2293 1970 0.352941176
## 2294 1971 0.480519481
## 2295 1972 0.361111111
## 2296 1973 0.400000000
## 2297 1974 0.448275862
## 2298 1975 0.315789474
## 2299 1976 0.448275862
## 2300 1977 0.649484536
## 2301 1978 0.645833333
## 2302 1979 0.765432099
## 2303 1980 0.305882353
## 2304 1981 0.500000000
## 2305 1982 0.400000000
## 2306 1983 0.455696203
## 2307 1984 0.388888889
## 2308 1985 0.492753623
## 2309 1986 0.619047619
## 2310 1987 0.272727273
## 2311 1988 0.438596491
## 2312 1989 0.479069767
## 2313 1990 0.578947368
## 2314 1991 0.415770609
## 2315 1992 0.744027304
## 2316 1993 1.000000000
## 2317 1994 0.333333333
## 2318 1995 0.800000000
## 2319 1996 1.000000000
## 2320 1997 0.666666667
## 2321 1998 0.400000000
## 2322 1999 0.253456221
## 2323 2000 0.369318182
## 2324 2001 0.576687117
## 2325 2002 0.500000000
## 2326 2003 2.946564885
## 2327 2004 0.536000000
## 2328 2005 0.551724138
## 2329 2006 0.743801653
## 2330 2007 2.183823529
## 2331 2008 2.567164179
## 2332 2009 1.180952381
## 2333 2010 1.446280992
## 2334 2011 2.160000000
## 2335 2012 2.647727273
## 2336 2013 1.739130435
## 2337 2014 1.488888889
## 2338 2015 1.076923077
## 2339 2016 1.440000000
## 2340 2017 1.032258065
## 2341 1966 0.515625000
## 2342 1967 0.485294118
## 2343 1968 0.436464088
## 2344 1969 0.450000000
## 2345 1970 0.357142857
## 2346 1971 0.481481481
## 2347 1972 0.361702128
## 2348 1973 0.379310345
## 2349 1974 0.442857143
## 2350 1975 0.314814815
## 2351 1976 0.456140351
## 2352 1977 0.660000000
## 2353 1978 0.651162791
## 2354 1979 0.736842105
## 2355 1980 0.303030303
## 2356 1981 0.466666667
## 2357 1982 0.423076923
## 2358 1983 0.478260870
## 2359 1984 0.380952381
## 2360 1985 0.500000000
## 2361 1986 0.615384615
## 2362 1987 0.277777778
## 2363 1988 0.421052632
## 2364 1989 0.466666667
## 2365 1990 0.582089552
## 2366 1991 0.418604651
## 2367 1992 0.635714286
## 2368 1993 1.000000000
## 2369 1994 1.000000000
## 2370 1995 1.000000000
## 2371 1996 1.000000000
## 2372 1997 1.000000000
## 2373 1998 0.000000000
## 2374 1999 0.257142857
## 2375 2000 0.368421053
## 2376 2001 0.573170732
## 2377 2002 0.346153846
## 2378 2003 2.949367089
## 2379 2004 0.537037037
## 2380 2005 0.553571429
## 2381 2006 0.750000000
## 2382 2007 2.189655172
## 2383 2008 2.545454545
## 2384 2009 1.176470588
## 2385 2010 1.481481481
## 2386 2011 2.166666667
## 2387 2012 2.562500000
## 2388 2013 1.789473684
## 2389 2014 1.483870968
## 2390 2015 1.111111111
## 2391 2016 1.478260870
## 2392 2017 1.062500000
## 2393 1966 0.509803922
## 2394 1967 0.481481481
## 2395 1968 0.478260870
## 2396 1969 0.461538462
## 2397 1970 0.352941176
## 2398 1971 0.485714286
## 2399 1972 0.380000000
## 2400 1973 0.372549020
## 2401 1974 0.450980392
## 2402 1975 0.325000000
## 2403 1976 0.476190476
## 2404 1977 0.638297872
## 2405 1978 0.648648649
## 2406 1979 0.758064516
## 2407 1980 0.297297297
## 2408 1981 0.468750000
## 2409 1982 0.413793103
## 2410 1983 0.478260870
## 2411 1984 0.380952381
## 2412 1985 0.500000000
## 2413 1986 0.619047619
## 2414 1987 0.263157895
## 2415 1988 0.400000000
## 2416 1989 0.416666667
## 2417 1990 0.575221239
## 2418 1991 0.413461538
## 2419 1992 0.638297872
## 2420 1993 1.000000000
## 2421 1994 1.000000000
## 2422 1995 1.000000000
## 2423 1996 0.000000000
## 2424 1997 NaN
## 2425 1998 NaN
## 2426 1999 0.250000000
## 2427 2000 0.363636364
## 2428 2001 0.593750000
## 2429 2002 0.769230769
## 2430 2003 2.953488372
## 2431 2004 0.526315789
## 2432 2005 0.558823529
## 2433 2006 0.764705882
## 2434 2007 2.200000000
## 2435 2008 NaN
## 2436 2009 1.333333333
## 2437 2010 1.400000000
## 2438 2011 2.000000000
## 2439 2012 2.800000000
## 2440 2013 2.000000000
## 2441 2014 1.333333333
## 2442 2015 1.000000000
## 2443 2016 1.250000000
## 2444 2017 1.000000000
## 2445 1966 0.600000000
## 2446 1967 0.484848485
## 2447 1968 0.400000000
## 2448 1969 1.000000000
## 2449 1970 0.250000000
## 2450 1971 NaN
## 2451 1972 0.363636364
## 2452 1973 0.333333333
## 2453 1974 0.333333333
## 2454 1975 NaN
## 2455 1976 0.333333333
## 2456 1977 1.000000000
## 2457 1978 0.500000000
## 2458 1979 0.777777778
## 2459 1980 NaN
## 2460 1981 NaN
## 2461 1982 NaN
## 2462 1983 NaN
## 2463 1984 NaN
## 2464 1985 NaN
## 2465 1986 NaN
## 2466 1987 NaN
## 2467 1988 NaN
## 2468 1989 NaN
## 2469 1990 NaN
## 2470 1991 NaN
## 2471 1992 0.640000000
## 2472 1993 NaN
## 2473 1994 NaN
## 2474 1995 NaN
## 2475 1996 NaN
## 2476 1997 0.000000000
## 2477 1998 NaN
## 2478 1999 NaN
## 2479 2000 NaN
## 2480 2001 0.583333333
## 2481 2002 NaN
## 2482 2003 2.933333333
## 2483 2004 0.521739130
## 2484 2005 0.000000000
## 2485 2006 0.739130435
## 2486 2007 NaN
## 2487 2008 Inf
## 2488 2009 1.169491525
## 2489 2010 NaN
## 2490 2011 NaN
## 2491 2012 NaN
## 2492 2013 1.000000000
## 2493 2014 NaN
## 2494 2015 NaN
## 2495 2016 1.391304348
## 2496 2017 1.000000000
## 2497 1966 0.660377358
## 2498 1967 0.682662539
## 2499 1968 0.683453237
## 2500 1969 0.534025375
## 2501 1970 0.451572327
## 2502 1971 0.303672316
## 2503 1972 0.260215054
## 2504 1973 0.324758842
## 2505 1974 0.458333333
## 2506 1975 0.355038760
## 2507 1976 0.407534247
## 2508 1977 0.422053232
## 2509 1978 0.596085409
## 2510 1979 0.576732673
## 2511 1980 0.321499014
## 2512 1981 0.460000000
## 2513 1982 0.368159204
## 2514 1983 0.476303318
## 2515 1984 0.385159011
## 2516 1985 0.503311258
## 2517 1986 0.672077922
## 2518 1987 0.260273973
## 2519 1988 0.115511551
## 2520 1989 0.479400749
## 2521 1990 0.557258792
## 2522 1991 0.417505809
## 2523 1992 0.625112108
## 2524 1993 0.889952153
## 2525 1994 0.410714286
## 2526 1995 0.833333333
## 2527 1996 0.666666667
## 2528 1997 0.500000000
## 2529 1998 0.239583333
## 2530 1999 0.255319149
## 2531 2000 0.371794872
## 2532 2001 0.577777778
## 2533 2002 0.000000000
## 2534 2003 2.959662289
## 2535 2004 0.534545455
## 2536 2005 0.547169811
## 2537 2006 0.724137931
## 2538 2007 2.166666667
## 2539 2008 2.611111111
## 2540 2009 1.162162162
## 2541 2010 1.416666667
## 2542 2011 2.000000000
## 2543 2012 2.615384615
## 2544 2013 1.720930233
## 2545 2014 2.000000000
## 2546 2015 1.000000000
## 2547 2016 1.428571429
## 2548 2017 1.028571429
## 2549 1966 0.234013605
## 2550 1967 0.259776536
## 2551 1968 0.259194396
## 2552 1969 0.384408602
## 2553 1970 0.219584570
## 2554 1971 0.322981366
## 2555 1972 0.311377246
## 2556 1973 0.311284047
## 2557 1974 0.457943925
## 2558 1975 0.366762178
## 2559 1976 0.346153846
## 2560 1977 0.464944649
## 2561 1978 0.628482972
## 2562 1979 0.626373626
## 2563 1980 0.259615385
## 2564 1981 0.468553459
## 2565 1982 0.435797665
## 2566 1983 0.446808511
## 2567 1984 0.394366197
## 2568 1985 0.469194313
## 2569 1986 0.605000000
## 2570 1987 0.288888889
## 2571 1988 0.071090047
## 2572 1989 0.505235602
## 2573 1990 0.601476015
## 2574 1991 0.416822430
## 2575 1992 0.625272331
## 2576 1993 0.875000000
## 2577 1994 0.500000000
## 2578 1995 0.833333333
## 2579 1996 0.666666667
## 2580 1997 0.500000000
## 2581 1998 0.500000000
## 2582 1999 0.252631579
## 2583 2000 0.370689655
## 2584 2001 0.566666667
## 2585 2002 0.000000000
## 2586 2003 2.977011494
## 2587 2004 0.537500000
## 2588 2005 0.571428571
## 2589 2006 0.680000000
## 2590 2007 2.186440678
## 2591 2008 2.562500000
## 2592 2009 1.125000000
## 2593 2010 1.400000000
## 2594 2011 2.000000000
## 2595 2012 2.578947368
## 2596 2013 1.736842105
## 2597 2014 2.000000000
## 2598 2015 1.000000000
## 2599 2016 1.500000000
## 2600 2017 1.041666667
## 2601 1966 0.424877708
## 2602 1967 0.584717608
## 2603 1968 0.324637681
## 2604 1969 0.459441489
## 2605 1970 0.346153846
## 2606 1971 0.430705394
## 2607 1972 0.302805281
## 2608 1973 0.379174853
## 2609 1974 0.404040404
## 2610 1975 0.268605646
## 2611 1976 0.442687747
## 2612 1977 0.667019027
## 2613 1978 0.712464589
## 2614 1979 0.821147357
## 2615 1980 0.356929212
## 2616 1981 1.053475936
## 2617 1982 0.628808864
## 2618 1983 0.715686275
## 2619 1984 0.778716216
## 2620 1985 0.826490066
## 2621 1986 0.389156627
## 2622 1987 0.747816594
## 2623 1988 0.840460526
## 2624 1989 0.762931034
## 2625 1990 0.755523436
## 2626 1991 0.830417227
## 2627 1992 1.213938974
## 2628 1993 1.100903614
## 2629 1994 0.608695652
## 2630 1995 1.031021898
## 2631 1996 1.181069959
## 2632 1997 1.063909774
## 2633 1998 0.982832618
## 2634 1999 0.619230769
## 2635 2000 1.490171990
## 2636 2001 1.036603221
## 2637 2002 0.925925926
## 2638 2003 4.506401138
## 2639 2004 3.876638856
## 2640 2005 4.177841179
## 2641 2006 1.978043912
## 2642 2007 3.250463822
## 2643 2008 2.983471074
## 2644 2009 2.596918086
## 2645 2010 3.221518987
## 2646 2011 3.283085633
## 2647 2012 3.611261872
## 2648 2013 2.983695652
## 2649 2014 2.458968347
## 2650 2015 1.895787140
## 2651 2016 2.369565217
## 2652 2017 2.352649007
## 2653 1966 0.545060659
## 2654 1967 0.423111920
## 2655 1968 0.348341232
## 2656 1969 0.368320611
## 2657 1970 0.302872063
## 2658 1971 0.448416752
## 2659 1972 0.359839357
## 2660 1973 0.334241599
## 2661 1974 0.361228814
## 2662 1975 0.426488457
## 2663 1976 0.389438944
## 2664 1977 0.629411765
## 2665 1978 0.663956640
## 2666 1979 0.652601969
## 2667 1980 0.262745098
## 2668 1981 0.742049470
## 2669 1982 0.727272727
## 2670 1983 0.706018519
## 2671 1984 0.861313869
## 2672 1985 0.700000000
## 2673 1986 0.694510740
## 2674 1987 0.862162162
## 2675 1988 1.032710280
## 2676 1989 0.785454545
## 2677 1990 1.455683003
## 2678 1991 1.238012206
## 2679 1992 1.272189349
## 2680 1993 1.250000000
## 2681 1994 1.800000000
## 2682 1995 1.625000000
## 2683 1996 1.375000000
## 2684 1997 1.000000000
## 2685 1998 1.500000000
## 2686 1999 1.309973046
## 2687 2000 2.830374753
## 2688 2001 1.723076923
## 2689 2002 1.666666667
## 2690 2003 2.468374700
## 2691 2004 1.323255814
## 2692 2005 1.031914894
## 2693 2006 0.432926829
## 2694 2007 0.839080460
## 2695 2008 1.235955056
## 2696 2009 0.624969814
## 2697 2010 0.793103448
## 2698 2011 1.048678720
## 2699 2012 0.911842105
## 2700 2013 0.672877847
## 2701 2014 0.320697498
## 2702 2015 0.568763557
## 2703 2016 0.200892857
## 2704 2017 0.533224401
## 2705 1966 0.746849943
## 2706 1967 0.438003221
## 2707 1968 0.616352201
## 2708 1969 0.466183575
## 2709 1970 0.367055772
## 2710 1971 0.659574468
## 2711 1972 0.476973684
## 2712 1973 0.440550688
## 2713 1974 0.524571429
## 2714 1975 0.170289855
## 2715 1976 0.533950617
## 2716 1977 0.850993377
## 2717 1978 0.613006397
## 2718 1979 0.842105263
## 2719 1980 0.289968652
## 2720 1981 0.790870488
## 2721 1982 1.035986914
## 2722 1983 0.978082192
## 2723 1984 1.124378109
## 2724 1985 0.934782609
## 2725 1986 0.726303318
## 2726 1987 0.889600000
## 2727 1988 0.916666667
## 2728 1989 1.028900256
## 2729 1990 1.175110507
## 2730 1991 1.337856174
## 2731 1992 0.785175017
## 2732 1993 1.375000000
## 2733 1994 1.500000000
## 2734 1995 0.846153846
## 2735 1996 0.777777778
## 2736 1997 1.142857143
## 2737 1998 0.714285714
## 2738 1999 0.799237611
## 2739 2000 1.683333333
## 2740 2001 0.525179856
## 2741 2002 0.000000000
## 2742 2003 0.238663484
## 2743 2004 0.455445545
## 2744 2005 1.750000000
## 2745 2006 1.122199593
## 2746 2007 2.806818182
## 2747 2008 2.500000000
## 2748 2009 2.004444444
## 2749 2010 1.450000000
## 2750 2011 0.629981025
## 2751 2012 2.368078176
## 2752 2013 2.096363636
## 2753 2014 1.279929577
## 2754 2015 1.367977528
## 2755 2016 0.961956522
## 2756 2017 1.209068010
## 2757 1966 0.810055866
## 2758 1967 0.785714286
## 2759 1968 0.542372881
## 2760 1969 0.794326241
## 2761 1970 0.704225352
## 2762 1971 0.827272727
## 2763 1972 0.761904762
## 2764 1973 0.731092437
## 2765 1974 0.941176471
## 2766 1975 0.750000000
## 2767 1976 0.788732394
## 2768 1977 0.653333333
## 2769 1978 0.644628099
## 2770 1979 1.016528926
## 2771 1980 0.330000000
## 2772 1981 0.827160494
## 2773 1982 0.864000000
## 2774 1983 0.865030675
## 2775 1984 0.630769231
## 2776 1985 0.964912281
## 2777 1986 1.231578947
## 2778 1987 0.865979381
## 2779 1988 0.697674419
## 2780 1989 1.156626506
## 2781 1990 1.254545455
## 2782 1991 0.909329829
## 2783 1992 0.785185185
## 2784 1993 0.833333333
## 2785 1994 1.000000000
## 2786 1995 1.000000000
## 2787 1996 0.666666667
## 2788 1997 1.000000000
## 2789 1998 0.333333333
## 2790 1999 0.588235294
## 2791 2000 0.758426966
## 2792 2001 0.904166667
## 2793 2002 0.500000000
## 2794 2003 1.174273859
## 2795 2004 0.917293233
## 2796 2005 0.666666667
## 2797 2006 0.773195876
## 2798 2007 0.778688525
## 2799 2008 0.669421488
## 2800 2009 1.084615385
## 2801 2010 0.625000000
## 2802 2011 1.142857143
## 2803 2012 1.000000000
## 2804 2013 1.000000000
## 2805 2014 1.000000000
## 2806 2015 0.500000000
## 2807 2016 0.250000000
## 2808 2017 1.562500000
## 2809 1966 0.465849387
## 2810 1967 0.408723748
## 2811 1968 0.341085271
## 2812 1969 0.648611111
## 2813 1970 0.437500000
## 2814 1971 0.351506456
## 2815 1972 0.325925926
## 2816 1973 0.461811723
## 2817 1974 0.809405941
## 2818 1975 0.642538976
## 2819 1976 0.615384615
## 2820 1977 0.794843049
## 2821 1978 0.720178372
## 2822 1979 0.770322581
## 2823 1980 0.699776786
## 2824 1981 0.595041322
## 2825 1982 0.609756098
## 2826 1983 0.606882169
## 2827 1984 0.547516199
## 2828 1985 0.802768166
## 2829 1986 0.946619217
## 2830 1987 0.831822759
## 2831 1988 0.585175553
## 2832 1989 0.794823232
## 2833 1990 0.957089552
## 2834 1991 0.754016064
## 2835 1992 0.889933412
## 2836 1993 0.802816901
## 2837 1994 0.895522388
## 2838 1995 0.661538462
## 2839 1996 0.850000000
## 2840 1997 1.235294118
## 2841 1998 0.529411765
## 2842 1999 0.792019950
## 2843 2000 0.866080662
## 2844 2001 1.031066823
## 2845 2002 1.045454545
## 2846 2003 1.055156491
## 2847 2004 1.439688716
## 2848 2005 1.077943615
## 2849 2006 1.587901701
## 2850 2007 1.395149786
## 2851 2008 1.422798552
## 2852 2009 0.858903266
## 2853 2010 0.746749226
## 2854 2011 0.950299914
## 2855 2012 0.979524980
## 2856 2013 1.133393829
## 2857 2014 1.265151515
## 2858 2015 1.490299824
## 2859 2016 1.320488722
## 2860 2017 0.976430976
## 2861 1966 0.490566038
## 2862 1967 0.433962264
## 2863 1968 0.432653061
## 2864 1969 0.611336032
## 2865 1970 0.238095238
## 2866 1971 0.496575342
## 2867 1972 0.246478873
## 2868 1973 0.512562814
## 2869 1974 0.649769585
## 2870 1975 0.326315789
## 2871 1976 0.217142857
## 2872 1977 0.452261307
## 2873 1978 0.117647059
## 2874 1979 0.818181818
## 2875 1980 0.902777778
## 2876 1981 0.724832215
## 2877 1982 0.897637795
## 2878 1983 0.192307692
## 2879 1984 0.672897196
## 2880 1985 0.195402299
## 2881 1986 0.431372549
## 2882 1987 0.843137255
## 2883 1988 0.165137615
## 2884 1989 0.605633803
## 2885 1990 0.518518519
## 2886 1991 0.486652977
## 2887 1992 0.742323097
## 2888 1993 1.166666667
## 2889 1994 1.250000000
## 2890 1995 0.600000000
## 2891 1996 1.333333333
## 2892 1997 0.500000000
## 2893 1998 0.666666667
## 2894 1999 1.619318182
## 2895 2000 1.016000000
## 2896 2001 0.752089136
## 2897 2002 1.000000000
## 2898 2003 0.915750916
## 2899 2004 0.742718447
## 2900 2005 0.631818182
## 2901 2006 1.125000000
## 2902 2007 0.957671958
## 2903 2008 1.068627451
## 2904 2009 0.877551020
## 2905 2010 1.886075949
## 2906 2011 0.912280702
## 2907 2012 1.439024390
## 2908 2013 0.916666667
## 2909 2014 0.580645161
## 2910 2015 0.602409639
## 2911 2016 0.590909091
## 2912 2017 0.933333333
## 2913 1966 0.481418919
## 2914 1967 0.587436333
## 2915 1968 0.587463557
## 2916 1969 0.659090909
## 2917 1970 0.570520966
## 2918 1971 0.728571429
## 2919 1972 0.261874198
## 2920 1973 0.459562322
## 2921 1974 0.744730679
## 2922 1975 0.565645514
## 2923 1976 0.686700767
## 2924 1977 0.886937431
## 2925 1978 0.345132743
## 2926 1979 0.827586207
## 2927 1980 0.805620609
## 2928 1981 0.414271556
## 2929 1982 0.868156425
## 2930 1983 0.313868613
## 2931 1984 0.554655870
## 2932 1985 0.631970260
## 2933 1986 0.526988636
## 2934 1987 0.895281933
## 2935 1988 0.403204272
## 2936 1989 0.538881491
## 2937 1990 0.725958866
## 2938 1991 0.569036227
## 2939 1992 0.766951942
## 2940 1993 0.875000000
## 2941 1994 0.660000000
## 2942 1995 0.781818182
## 2943 1996 0.622222222
## 2944 1997 0.666666667
## 2945 1998 0.666666667
## 2946 1999 0.664147775
## 2947 2000 0.966966967
## 2948 2001 1.104012211
## 2949 2002 0.846153846
## 2950 2003 0.819911748
## 2951 2004 0.954166667
## 2952 2005 1.449892627
## 2953 2006 0.865058424
## 2954 2007 1.345929100
## 2955 2008 1.164825453
## 2956 2009 0.580962235
## 2957 2010 1.138012247
## 2958 2011 1.487619048
## 2959 2012 1.219626168
## 2960 2013 1.168792934
## 2961 2014 1.099857347
## 2962 2015 1.163111669
## 2963 2016 0.709466812
## 2964 2017 0.918727915
## 2965 1966 0.319615912
## 2966 1967 0.560056524
## 2967 1968 0.313750532
## 2968 1969 0.615006150
## 2969 1970 0.586298259
## 2970 1971 0.280146163
## 2971 1972 0.266195524
## 2972 1973 0.362074451
## 2973 1974 0.526066351
## 2974 1975 0.359105181
## 2975 1976 0.274106706
## 2976 1977 0.591078067
## 2977 1978 0.624949860
## 2978 1979 0.528089888
## 2979 1980 0.581957310
## 2980 1981 0.567963034
## 2981 1982 0.462931761
## 2982 1983 0.460112812
## 2983 1984 0.300000000
## 2984 1985 0.444093778
## 2985 1986 0.441983630
## 2986 1987 0.603797468
## 2987 1988 0.429890848
## 2988 1989 0.652955565
## 2989 1990 0.730982368
## 2990 1991 0.330984100
## 2991 1992 0.626990422
## 2992 1993 0.585034014
## 2993 1994 0.669354839
## 2994 1995 0.740740741
## 2995 1996 0.629370629
## 2996 1997 0.608247423
## 2997 1998 0.600000000
## 2998 1999 0.534045272
## 2999 2000 0.760006278
## 3000 2001 0.709031147
## 3001 2002 0.916666667
## 3002 2003 0.759000735
## 3003 2004 0.447940503
## 3004 2005 0.970950426
## 3005 2006 0.815006023
## 3006 2007 0.975095785
## 3007 2008 0.884955752
## 3008 2009 0.548956661
## 3009 2010 0.872904273
## 3010 2011 0.834769577
## 3011 2012 1.213085449
## 3012 2013 1.193813755
## 3013 2014 1.174267101
## 3014 2015 1.029964449
## 3015 2016 0.810417341
## 3016 2017 0.980365297
## 3017 1966 0.906716418
## 3018 1967 0.239902081
## 3019 1968 0.239833160
## 3020 1969 0.363445378
## 3021 1970 0.385982231
## 3022 1971 0.151483051
## 3023 1972 0.091078067
## 3024 1973 0.213163065
## 3025 1974 0.203939745
## 3026 1975 0.227472527
## 3027 1976 0.177455357
## 3028 1977 0.270560191
## 3029 1978 0.234117647
## 3030 1979 0.245080501
## 3031 1980 0.309552600
## 3032 1981 0.227790433
## 3033 1982 0.246231156
## 3034 1983 0.348344371
## 3035 1984 0.244372990
## 3036 1985 0.426540284
## 3037 1986 0.382943144
## 3038 1987 0.223583461
## 3039 1988 0.439716312
## 3040 1989 0.458663883
## 3041 1990 0.364091162
## 3042 1991 0.326101695
## 3043 1992 0.305959643
## 3044 1993 0.400000000
## 3045 1994 0.277777778
## 3046 1995 0.352941176
## 3047 1996 0.294117647
## 3048 1997 0.307692308
## 3049 1998 0.428571429
## 3050 1999 0.511517077
## 3051 2000 0.560402685
## 3052 2001 0.340193705
## 3053 2002 0.266666667
## 3054 2003 0.507278020
## 3055 2004 0.214501511
## 3056 2005 0.449557522
## 3057 2006 0.242753623
## 3058 2007 0.721068249
## 3059 2008 0.682080925
## 3060 2009 0.637532134
## 3061 2010 0.714743590
## 3062 2011 1.185185185
## 3063 2012 0.748322148
## 3064 2013 0.629179331
## 3065 2014 0.329268293
## 3066 2015 0.463414634
## 3067 2016 0.432926829
## 3068 2017 0.497005988
## 3069 1966 0.397174254
## 3070 1967 0.457757296
## 3071 1968 0.457231726
## 3072 1969 0.928671329
## 3073 1970 0.582025678
## 3074 1971 0.580291971
## 3075 1972 0.595555556
## 3076 1973 0.646981627
## 3077 1974 0.879815100
## 3078 1975 0.635792779
## 3079 1976 0.494308943
## 3080 1977 0.726812816
## 3081 1978 0.286350148
## 3082 1979 0.814616756
## 3083 1980 1.006299213
## 3084 1981 0.447129909
## 3085 1982 0.583617747
## 3086 1983 0.384219554
## 3087 1984 0.404612159
## 3088 1985 0.407185629
## 3089 1986 0.382608696
## 3090 1987 0.860050891
## 3091 1988 0.373205742
## 3092 1989 0.811242604
## 3093 1990 0.724421210
## 3094 1991 0.553664921
## 3095 1992 0.677876106
## 3096 1993 0.600000000
## 3097 1994 0.500000000
## 3098 1995 0.500000000
## 3099 1996 1.000000000
## 3100 1997 1.000000000
## 3101 1998 0.666666667
## 3102 1999 0.354679803
## 3103 2000 0.564285714
## 3104 2001 1.009708738
## 3105 2002 1.000000000
## 3106 2003 1.050000000
## 3107 2004 0.689655172
## 3108 2005 0.716216216
## 3109 2006 0.700000000
## 3110 2007 1.277777778
## 3111 2008 0.625000000
## 3112 2009 1.100000000
## 3113 2010 0.846153846
## 3114 2011 0.157894737
## 3115 2012 1.545454545
## 3116 2013 0.722222222
## 3117 2014 0.538461538
## 3118 2015 0.666666667
## 3119 2016 0.750000000
## 3120 2017 0.750000000
## 3121 1966 0.208092486
## 3122 1967 0.568181818
## 3123 1968 0.573033708
## 3124 1969 0.729729730
## 3125 1970 0.315789474
## 3126 1971 0.707865169
## 3127 1972 0.680851064
## 3128 1973 0.902173913
## 3129 1974 0.617886179
## 3130 1975 0.458333333
## 3131 1976 0.412371134
## 3132 1977 0.645833333
## 3133 1978 0.496124031
## 3134 1979 0.635294118
## 3135 1980 0.625000000
## 3136 1981 0.500000000
## 3137 1982 0.558823529
## 3138 1983 0.423913043
## 3139 1984 0.452830189
## 3140 1985 0.538461538
## 3141 1986 0.539682540
## 3142 1987 0.651162791
## 3143 1988 0.433734940
## 3144 1989 0.657333333
## 3145 1990 0.718987342
## 3146 1991 0.435549525
## 3147 1992 0.927184466
## 3148 1993 0.750000000
## 3149 1994 0.750000000
## 3150 1995 0.750000000
## 3151 1996 0.750000000
## 3152 1997 0.666666667
## 3153 1998 0.750000000
## 3154 1999 0.744336570
## 3155 2000 0.943548387
## 3156 2001 1.250909091
## 3157 2002 1.000000000
## 3158 2003 0.655339806
## 3159 2004 0.611111111
## 3160 2005 0.896551724
## 3161 2006 0.904761905
## 3162 2007 1.304347826
## 3163 2008 1.333333333
## 3164 2009 0.736842105
## 3165 2010 0.785714286
## 3166 2011 1.666666667
## 3167 2012 0.750000000
## 3168 2013 NaN
## 3169 2014 NaN
## 3170 2015 NaN
## 3171 2016 NaN
## 3172 2017 1.000000000
## 3173 1966 0.339622642
## 3174 1967 0.398280802
## 3175 1968 0.362776025
## 3176 1969 0.571428571
## 3177 1970 0.484463277
## 3178 1971 0.707275804
## 3179 1972 0.425696594
## 3180 1973 0.899873257
## 3181 1974 0.573353293
## 3182 1975 0.624309392
## 3183 1976 0.299694190
## 3184 1977 0.751373626
## 3185 1978 0.474074074
## 3186 1979 0.640117994
## 3187 1980 0.746067416
## 3188 1981 0.617256637
## 3189 1982 0.663608563
## 3190 1983 0.472000000
## 3191 1984 0.395209581
## 3192 1985 0.451923077
## 3193 1986 0.444444444
## 3194 1987 0.426086957
## 3195 1988 0.433333333
## 3196 1989 0.665000000
## 3197 1990 0.717791411
## 3198 1991 0.433333333
## 3199 1992 0.672727273
## 3200 1993 1.000000000
## 3201 1994 0.000000000
## 3202 1995 NaN
## 3203 1996 NaN
## 3204 1997 NaN
## 3205 1998 0.000000000
## 3206 1999 0.611111111
## 3207 2000 0.750000000
## 3208 2001 0.961904762
## 3209 2002 NaN
## 3210 2003 0.923076923
## 3211 2004 0.866666667
## 3212 2005 1.192307692
## 3213 2006 1.000000000
## 3214 2007 NaN
## 3215 2008 NaN
## 3216 2009 NaN
## 3217 2010 1.000000000
## 3218 2011 NaN
## 3219 2012 NaN
## 3220 2013 NaN
## 3221 2014 NaN
## 3222 2015 NaN
## 3223 2016 1.000000000
## 3224 2017 NaN
## 3225 1966 0.642857143
## 3226 1967 0.690222652
## 3227 1968 0.571293673
## 3228 1969 0.569494585
## 3229 1970 0.622076707
## 3230 1971 0.824186047
## 3231 1972 0.431941924
## 3232 1973 0.733824734
## 3233 1974 0.800177620
## 3234 1975 0.451612903
## 3235 1976 0.585281385
## 3236 1977 0.643229167
## 3237 1978 0.497551420
## 3238 1979 0.719733079
## 3239 1980 0.416149068
## 3240 1981 0.454730417
## 3241 1982 0.503086420
## 3242 1983 0.300540541
## 3243 1984 0.695329087
## 3244 1985 0.630410655
## 3245 1986 0.593429158
## 3246 1987 0.494915254
## 3247 1988 0.330760750
## 3248 1989 0.677183406
## 3249 1990 0.602903616
## 3250 1991 0.343980674
## 3251 1992 1.206977030
## 3252 1993 1.317073171
## 3253 1994 0.945205479
## 3254 1995 0.731343284
## 3255 1996 1.096774194
## 3256 1997 0.551724138
## 3257 1998 1.200000000
## 3258 1999 1.228898992
## 3259 2000 1.599113363
## 3260 2001 1.675020210
## 3261 2002 1.538461538
## 3262 2003 1.443095171
## 3263 2004 1.564064801
## 3264 2005 1.871007371
## 3265 2006 1.514200299
## 3266 2007 2.309247312
## 3267 2008 1.783716284
## 3268 2009 1.761970375
## 3269 2010 1.055746468
## 3270 2011 1.862507221
## 3271 2012 1.374183007
## 3272 2013 0.887086308
## 3273 2014 0.994197292
## 3274 2015 1.173333333
## 3275 2016 0.964751958
## 3276 2017 0.906054280
## 3277 1966 0.500000000
## 3278 1967 0.500000000
## 3279 1968 0.848484848
## 3280 1969 NaN
## 3281 1970 0.850000000
## 3282 1971 4.000000000
## 3283 1972 2.500000000
## 3284 1973 2.000000000
## 3285 1974 2.500000000
## 3286 1975 2.000000000
## 3287 1976 1.000000000
## 3288 1977 1.500000000
## 3289 1978 2.000000000
## 3290 1979 1.000000000
## 3291 1980 NaN
## 3292 1981 NaN
## 3293 1982 3.000000000
## 3294 1983 3.000000000
## 3295 1984 1.000000000
## 3296 1985 NaN
## 3297 1986 NaN
## 3298 1987 NaN
## 3299 1988 NaN
## 3300 1989 NaN
## 3301 1990 NaN
## 3302 1991 NaN
## 3303 1992 NaN
## 3304 1993 NaN
## 3305 1994 NaN
## 3306 1995 NaN
## 3307 1996 NaN
## 3308 1997 NaN
## 3309 1998 NaN
## 3310 1999 NaN
## 3311 2000 NaN
## 3312 2001 NaN
## 3313 2002 NaN
## 3314 2003 1.080000000
## 3315 2004 NaN
## 3316 2005 NaN
## 3317 2006 NaN
## 3318 2007 NaN
## 3319 2008 NaN
## 3320 2009 NaN
## 3321 2010 NaN
## 3322 2011 NaN
## 3323 2012 1.226666667
## 3324 2013 1.423529412
## 3325 2014 1.370370370
## 3326 2015 NaN
## 3327 2016 NaN
## 3328 2017 NaN
## 3329 1966 NaN
## 3330 1967 0.500000000
## 3331 1968 0.687500000
## 3332 1969 0.682926829
## 3333 1970 0.945454545
## 3334 1971 1.081081081
## 3335 1972 1.480000000
## 3336 1973 2.043478261
## 3337 1974 1.043478261
## 3338 1975 0.793103448
## 3339 1976 1.181818182
## 3340 1977 1.222222222
## 3341 1978 1.357142857
## 3342 1979 1.190476190
## 3343 1980 2.000000000
## 3344 1981 0.584905660
## 3345 1982 0.625000000
## 3346 1983 0.916666667
## 3347 1984 0.636363636
## 3348 1985 1.137931034
## 3349 1986 0.682926829
## 3350 1987 0.607142857
## 3351 1988 0.739130435
## 3352 1989 0.569444444
## 3353 1990 0.539087948
## 3354 1991 1.000000000
## 3355 1992 NaN
## 3356 1993 NaN
## 3357 1994 NaN
## 3358 1995 NaN
## 3359 1996 NaN
## 3360 1997 NaN
## 3361 1998 NaN
## 3362 1999 NaN
## 3363 2000 NaN
## 3364 2001 NaN
## 3365 2002 NaN
## 3366 2003 NaN
## 3367 2004 NaN
## 3368 2005 NaN
## 3369 2006 NaN
## 3370 2007 NaN
## 3371 2008 NaN
## 3372 2009 NaN
## 3373 2010 NaN
## 3374 2011 NaN
## 3375 2012 1.227436823
## 3376 2013 1.422512235
## 3377 2014 1.385542169
## 3378 2015 1.142857143
## 3379 2016 1.165354331
## 3380 2017 NaN
## 3381 1966 0.616740088
## 3382 1967 0.546296296
## 3383 1968 1.186885246
## 3384 1969 1.393939394
## 3385 1970 0.959595960
## 3386 1971 0.966183575
## 3387 1972 1.355263158
## 3388 1973 0.707112971
## 3389 1974 0.943181818
## 3390 1975 0.737100737
## 3391 1976 0.689655172
## 3392 1977 1.325471698
## 3393 1978 1.019047619
## 3394 1979 0.932584270
## 3395 1980 2.035087719
## 3396 1981 1.750000000
## 3397 1982 1.406250000
## 3398 1983 1.649006623
## 3399 1984 0.666666667
## 3400 1985 0.923076923
## 3401 1986 1.275862069
## 3402 1987 0.854014599
## 3403 1988 0.873684211
## 3404 1989 0.992592593
## 3405 1990 0.820322181
## 3406 1991 1.053824363
## 3407 1992 0.856259660
## 3408 1993 0.907254362
## 3409 1994 0.880952381
## 3410 1995 1.278443114
## 3411 1996 1.171171171
## 3412 1997 0.593516209
## 3413 1998 1.085784314
## 3414 1999 0.968750000
## 3415 2000 1.459016393
## 3416 2001 1.527027027
## 3417 2002 1.158536585
## 3418 2003 0.628458498
## 3419 2004 1.297709924
## 3420 2005 1.198275862
## 3421 2006 0.695431472
## 3422 2007 1.138248848
## 3423 2008 1.390350877
## 3424 2009 0.782865583
## 3425 2010 0.953488372
## 3426 2011 0.500000000
## 3427 2012 NaN
## 3428 2013 0.575581395
## 3429 2014 0.333333333
## 3430 2015 NaN
## 3431 2016 NaN
## 3432 2017 NaN
## 3433 1966 0.548705302
## 3434 1967 0.627594628
## 3435 1968 0.555555556
## 3436 1969 0.681771370
## 3437 1970 0.836670179
## 3438 1971 1.143305439
## 3439 1972 1.048929664
## 3440 1973 1.253564155
## 3441 1974 0.875245580
## 3442 1975 1.002018163
## 3443 1976 0.238663484
## 3444 1977 0.776985743
## 3445 1978 1.112158341
## 3446 1979 1.131212724
## 3447 1980 0.959782609
## 3448 1981 0.762168142
## 3449 1982 0.713151927
## 3450 1983 0.730088496
## 3451 1984 0.931895573
## 3452 1985 0.729870130
## 3453 1986 0.768406961
## 3454 1987 0.269016698
## 3455 1988 0.671033479
## 3456 1989 0.882812500
## 3457 1990 0.558621676
## 3458 1991 1.113475177
## 3459 1992 1.122721750
## 3460 1993 0.748177229
## 3461 1994 1.376393031
## 3462 1995 0.866823345
## 3463 1996 1.054966457
## 3464 1997 0.906801008
## 3465 1998 0.943985308
## 3466 1999 0.786699842
## 3467 2000 0.750638081
## 3468 2001 0.555431755
## 3469 2002 0.283847185
## 3470 2003 0.252529037
## 3471 2004 1.415270829
## 3472 2005 0.786802030
## 3473 2006 1.011958998
## 3474 2007 0.898488830
## 3475 2008 0.690622861
## 3476 2009 0.614446529
## 3477 2010 1.227836330
## 3478 2011 0.952679590
## 3479 2012 0.338593482
## 3480 2013 0.947761194
## 3481 2014 0.722279261
## 3482 2015 0.765454545
## 3483 2016 0.768003867
## 3484 2017 0.802735043
## 3485 1966 0.500000000
## 3486 1967 0.611111111
## 3487 1968 0.916666667
## 3488 1969 1.867469880
## 3489 1970 2.560000000
## 3490 1971 6.531250000
## 3491 1972 1.939393939
## 3492 1973 1.287037037
## 3493 1974 0.931034483
## 3494 1975 0.964912281
## 3495 1976 1.800000000
## 3496 1977 2.000000000
## 3497 1978 2.064516129
## 3498 1979 1.089552239
## 3499 1980 1.052631579
## 3500 1981 0.985074627
## 3501 1982 0.759259259
## 3502 1983 1.273972603
## 3503 1984 0.933333333
## 3504 1985 0.931818182
## 3505 1986 1.029411765
## 3506 1987 0.387096774
## 3507 1988 0.666666667
## 3508 1989 0.819672131
## 3509 1990 0.527542373
## 3510 1991 1.363271852
## 3511 1992 1.001153403
## 3512 1993 0.786259542
## 3513 1994 1.245700246
## 3514 1995 0.641025641
## 3515 1996 0.944303797
## 3516 1997 1.511335013
## 3517 1998 1.022598870
## 3518 1999 0.987500000
## 3519 2000 0.951530612
## 3520 2001 0.672222222
## 3521 2002 0.574712644
## 3522 2003 0.537037037
## 3523 2004 0.760000000
## 3524 2005 0.503105590
## 3525 2006 1.666666667
## 3526 2007 0.833333333
## 3527 2008 NaN
## 3528 2009 NaN
## 3529 2010 NaN
## 3530 2011 1.666666667
## 3531 2012 1.226190476
## 3532 2013 1.425287356
## 3533 2014 1.387596899
## 3534 2015 1.138613861
## 3535 2016 NaN
## 3536 2017 NaN
## 3537 1966 0.521739130
## 3538 1967 0.638888889
## 3539 1968 1.301369863
## 3540 1969 1.064935065
## 3541 1970 1.163934426
## 3542 1971 1.385714286
## 3543 1972 1.000000000
## 3544 1973 1.448598131
## 3545 1974 1.160839161
## 3546 1975 2.007518797
## 3547 1976 0.662500000
## 3548 1977 2.009259259
## 3549 1978 2.365853659
## 3550 1979 1.750000000
## 3551 1980 1.393442623
## 3552 1981 1.495145631
## 3553 1982 1.654761905
## 3554 1983 1.587628866
## 3555 1984 1.179487179
## 3556 1985 1.187969925
## 3557 1986 1.247368421
## 3558 1987 1.050000000
## 3559 1988 1.133928571
## 3560 1989 1.574468085
## 3561 1990 0.601063830
## 3562 1991 1.256526674
## 3563 1992 1.664220183
## 3564 1993 0.958333333
## 3565 1994 1.462616822
## 3566 1995 1.273006135
## 3567 1996 1.449275362
## 3568 1997 1.181494662
## 3569 1998 1.394957983
## 3570 1999 1.231111111
## 3571 2000 1.581081081
## 3572 2001 1.614678899
## 3573 2002 0.707746479
## 3574 2003 0.598870056
## 3575 2004 1.133689840
## 3576 2005 1.465217391
## 3577 2006 0.733812950
## 3578 2007 1.111475410
## 3579 2008 1.122807018
## 3580 2009 1.237547893
## 3581 2010 2.041420118
## 3582 2011 0.919540230
## 3583 2012 0.478260870
## 3584 2013 0.675213675
## 3585 2014 0.849557522
## 3586 2015 0.604166667
## 3587 2016 0.155555556
## 3588 2017 1.650485437
## 3589 1966 0.598070740
## 3590 1967 0.965065502
## 3591 1968 0.947368421
## 3592 1969 1.265517241
## 3593 1970 1.498338870
## 3594 1971 1.770609319
## 3595 1972 2.519230769
## 3596 1973 2.136807818
## 3597 1974 2.232026144
## 3598 1975 2.071856287
## 3599 1976 1.638655462
## 3600 1977 1.971698113
## 3601 1978 2.041935484
## 3602 1979 1.941860465
## 3603 1980 1.732876712
## 3604 1981 1.699115044
## 3605 1982 1.961722488
## 3606 1983 2.014285714
## 3607 1984 2.218623482
## 3608 1985 1.820833333
## 3609 1986 2.335766423
## 3610 1987 1.632352941
## 3611 1988 1.129310345
## 3612 1989 2.508771930
## 3613 1990 1.410973085
## 3614 1991 1.859613428
## 3615 1992 1.981900452
## 3616 1993 2.056910569
## 3617 1994 1.884412153
## 3618 1995 2.125925926
## 3619 1996 2.496833216
## 3620 1997 1.748325359
## 3621 1998 1.708737864
## 3622 1999 1.553398058
## 3623 2000 1.121428571
## 3624 2001 1.937500000
## 3625 2002 0.935064935
## 3626 2003 1.049382716
## 3627 2004 1.530303030
## 3628 2005 1.952380952
## 3629 2006 1.642857143
## 3630 2007 2.000000000
## 3631 2008 2.000000000
## 3632 2009 1.823529412
## 3633 2010 1.500000000
## 3634 2011 2.000000000
## 3635 2012 2.062500000
## 3636 2013 1.852941176
## 3637 2014 2.129032258
## 3638 2015 3.031250000
## 3639 2016 2.333333333
## 3640 2017 3.200000000
## 3641 1966 0.509202454
## 3642 1967 0.636363636
## 3643 1968 0.789215686
## 3644 1969 0.675000000
## 3645 1970 0.795555556
## 3646 1971 1.067307692
## 3647 1972 1.571428571
## 3648 1973 1.188073394
## 3649 1974 1.082417582
## 3650 1975 1.204188482
## 3651 1976 0.417910448
## 3652 1977 1.288590604
## 3653 1978 1.466666667
## 3654 1979 1.329787234
## 3655 1980 0.900900901
## 3656 1981 0.913242009
## 3657 1982 0.791666667
## 3658 1983 0.976744186
## 3659 1984 0.606741573
## 3660 1985 0.733333333
## 3661 1986 1.188461538
## 3662 1987 0.455000000
## 3663 1988 0.798561151
## 3664 1989 1.356060606
## 3665 1990 0.492639843
## 3666 1991 0.983980283
## 3667 1992 1.169175627
## 3668 1993 0.831801471
## 3669 1994 1.444086022
## 3670 1995 1.196078431
## 3671 1996 1.515409139
## 3672 1997 1.269861286
## 3673 1998 0.758258258
## 3674 1999 0.882812500
## 3675 2000 1.076086957
## 3676 2001 0.687140115
## 3677 2002 0.670050761
## 3678 2003 0.408759124
## 3679 2004 0.979716024
## 3680 2005 1.159574468
## 3681 2006 0.672131148
## 3682 2007 1.240121581
## 3683 2008 0.843971631
## 3684 2009 0.919847328
## 3685 2010 1.068085106
## 3686 2011 0.640000000
## 3687 2012 0.556701031
## 3688 2013 0.815602837
## 3689 2014 0.868932039
## 3690 2015 0.699248120
## 3691 2016 0.200000000
## 3692 2017 0.833333333
## 3693 1966 0.614592275
## 3694 1967 0.636510501
## 3695 1968 1.801405975
## 3696 1969 1.161330049
## 3697 1970 1.402912621
## 3698 1971 1.806236080
## 3699 1972 1.148073022
## 3700 1973 1.743984601
## 3701 1974 1.449330784
## 3702 1975 1.803229062
## 3703 1976 2.221311475
## 3704 1977 1.739583333
## 3705 1978 2.029368576
## 3706 1979 1.527240773
## 3707 1980 2.032019704
## 3708 1981 1.782051282
## 3709 1982 1.517503805
## 3710 1983 1.765560166
## 3711 1984 1.526422764
## 3712 1985 1.502136752
## 3713 1986 1.630642955
## 3714 1987 1.472693032
## 3715 1988 1.997607656
## 3716 1989 1.626506024
## 3717 1990 1.352298137
## 3718 1991 1.897482014
## 3719 1992 1.580428135
## 3720 1993 1.746044963
## 3721 1994 1.788327058
## 3722 1995 1.752293578
## 3723 1996 2.284096628
## 3724 1997 1.628613788
## 3725 1998 2.087100968
## 3726 1999 1.473769314
## 3727 2000 1.900000000
## 3728 2001 1.548924180
## 3729 2002 1.445217840
## 3730 2003 1.080679406
## 3731 2004 1.622468847
## 3732 2005 2.084344914
## 3733 2006 1.286596347
## 3734 2007 1.988602690
## 3735 2008 1.561070999
## 3736 2009 1.759633607
## 3737 2010 2.267432647
## 3738 2011 2.023841962
## 3739 2012 1.539789790
## 3740 2013 1.968750000
## 3741 2014 2.176591376
## 3742 2015 1.719492868
## 3743 2016 1.458055925
## 3744 2017 1.592668024
## 3745 1966 0.572989852
## 3746 1967 0.633247644
## 3747 1968 0.844061650
## 3748 1969 1.023299161
## 3749 1970 1.345381526
## 3750 1971 1.116438356
## 3751 1972 1.335123523
## 3752 1973 1.260247855
## 3753 1974 1.362332696
## 3754 1975 1.377289377
## 3755 1976 0.781250000
## 3756 1977 0.972846442
## 3757 1978 1.553615960
## 3758 1979 1.353244078
## 3759 1980 1.818731118
## 3760 1981 1.270601336
## 3761 1982 1.440983607
## 3762 1983 1.331584470
## 3763 1984 1.102425876
## 3764 1985 1.051775148
## 3765 1986 1.100000000
## 3766 1987 1.018564356
## 3767 1988 1.365535248
## 3768 1989 1.332443258
## 3769 1990 1.280516564
## 3770 1991 1.398865154
## 3771 1992 0.897903373
## 3772 1993 1.048288196
## 3773 1994 1.186469585
## 3774 1995 1.531517263
## 3775 1996 1.656672710
## 3776 1997 1.689078896
## 3777 1998 1.559211999
## 3778 1999 1.535906836
## 3779 2000 1.865962956
## 3780 2001 1.470288625
## 3781 2002 0.997592102
## 3782 2003 1.414586393
## 3783 2004 1.757960644
## 3784 2005 2.133398725
## 3785 2006 1.140123956
## 3786 2007 1.628887176
## 3787 2008 1.100643850
## 3788 2009 0.926957091
## 3789 2010 1.710932025
## 3790 2011 1.625466766
## 3791 2012 1.281407035
## 3792 2013 1.770674300
## 3793 2014 1.885553471
## 3794 2015 1.636469901
## 3795 2016 2.037514654
## 3796 2017 2.520851819
## 3797 1966 0.435777872
## 3798 1967 0.897174618
## 3799 1968 0.898143741
## 3800 1969 1.080773606
## 3801 1970 1.258049887
## 3802 1971 0.956347439
## 3803 1972 0.924546323
## 3804 1973 1.005027652
## 3805 1974 1.606209956
## 3806 1975 1.534693878
## 3807 1976 1.770096463
## 3808 1977 2.109947644
## 3809 1978 1.786255411
## 3810 1979 1.224322621
## 3811 1980 1.604798871
## 3812 1981 1.362199313
## 3813 1982 1.426392573
## 3814 1983 1.400000000
## 3815 1984 1.363180516
## 3816 1985 0.968403074
## 3817 1986 1.253820598
## 3818 1987 1.015278839
## 3819 1988 1.298366294
## 3820 1989 1.180805484
## 3821 1990 0.859079243
## 3822 1991 1.320606489
## 3823 1992 1.028516151
## 3824 1993 1.273038516
## 3825 1994 1.302928064
## 3826 1995 1.421080026
## 3827 1996 1.776058739
## 3828 1997 1.301075269
## 3829 1998 1.633145882
## 3830 1999 1.494755556
## 3831 2000 1.648736896
## 3832 2001 1.117291415
## 3833 2002 1.008315098
## 3834 2003 0.510591673
## 3835 2004 1.243833968
## 3836 2005 1.428976035
## 3837 2006 1.071817193
## 3838 2007 1.519057702
## 3839 2008 1.144932321
## 3840 2009 0.798258345
## 3841 2010 1.609245742
## 3842 2011 1.545406547
## 3843 2012 0.947782546
## 3844 2013 1.367332874
## 3845 2014 1.349056604
## 3846 2015 0.775086505
## 3847 2016 0.858505564
## 3848 2017 1.356275304
## 3849 1966 0.709779180
## 3850 1967 0.563416189
## 3851 1968 0.878512397
## 3852 1969 0.781976744
## 3853 1970 1.034142640
## 3854 1971 0.939675174
## 3855 1972 0.935078534
## 3856 1973 1.109178164
## 3857 1974 1.173289902
## 3858 1975 1.130128205
## 3859 1976 0.755292125
## 3860 1977 1.118210863
## 3861 1978 1.239732569
## 3862 1979 1.077471967
## 3863 1980 0.945010183
## 3864 1981 1.086172345
## 3865 1982 0.981725888
## 3866 1983 1.345140781
## 3867 1984 1.953557312
## 3868 1985 1.568295115
## 3869 1986 1.457819905
## 3870 1987 1.206148282
## 3871 1988 1.471887550
## 3872 1989 1.366315789
## 3873 1990 1.125449871
## 3874 1991 1.312044391
## 3875 1992 1.323928495
## 3876 1993 1.442395798
## 3877 1994 1.356464116
## 3878 1995 1.158544839
## 3879 1996 1.540074349
## 3880 1997 1.230327398
## 3881 1998 1.593211578
## 3882 1999 1.562937063
## 3883 2000 1.305527435
## 3884 2001 1.205082742
## 3885 2002 1.370423205
## 3886 2003 0.911240786
## 3887 2004 1.518121302
## 3888 2005 1.331107529
## 3889 2006 1.339023109
## 3890 2007 1.984631414
## 3891 2008 1.586644951
## 3892 2009 1.251661918
## 3893 2010 1.553584359
## 3894 2011 1.430943396
## 3895 2012 1.124504362
## 3896 2013 1.187634024
## 3897 2014 1.374381800
## 3898 2015 0.761081081
## 3899 2016 1.455503513
## 3900 2017 2.339667458
## 3901 1966 0.388212684
## 3902 1967 0.428260080
## 3903 1968 0.551099612
## 3904 1969 0.550858653
## 3905 1970 1.305755396
## 3906 1971 0.975728155
## 3907 1972 0.224422442
## 3908 1973 0.488997555
## 3909 1974 0.473484848
## 3910 1975 0.586242300
## 3911 1976 0.797438882
## 3912 1977 0.655440415
## 3913 1978 0.825481799
## 3914 1979 0.812060302
## 3915 1980 0.540298507
## 3916 1981 0.551490515
## 3917 1982 0.534550196
## 3918 1983 0.721357850
## 3919 1984 0.891041162
## 3920 1985 0.532110092
## 3921 1986 0.599137931
## 3922 1987 0.932806324
## 3923 1988 0.919689119
## 3924 1989 1.251968504
## 3925 1990 1.024699908
## 3926 1991 1.315267176
## 3927 1992 1.429306691
## 3928 1993 1.686861571
## 3929 1994 1.514856834
## 3930 1995 1.587533667
## 3931 1996 1.624136098
## 3932 1997 1.591856061
## 3933 1998 1.998543336
## 3934 1999 1.893241167
## 3935 2000 2.004827031
## 3936 2001 1.756373938
## 3937 2002 1.635578584
## 3938 2003 2.146396396
## 3939 2004 1.868466899
## 3940 2005 2.607244995
## 3941 2006 0.906010929
## 3942 2007 1.664007976
## 3943 2008 1.765232975
## 3944 2009 0.730401530
## 3945 2010 2.787061995
## 3946 2011 2.071428571
## 3947 2012 1.836257310
## 3948 2013 1.756457565
## 3949 2014 1.536082474
## 3950 2015 1.164383562
## 3951 2016 1.711340206
## 3952 2017 3.085714286
## 3953 1966 0.728260870
## 3954 1967 0.630864198
## 3955 1968 1.409195402
## 3956 1969 0.549773756
## 3957 1970 0.528639618
## 3958 1971 1.090600227
## 3959 1972 0.566233766
## 3960 1973 0.594036697
## 3961 1974 1.719222462
## 3962 1975 1.505415162
## 3963 1976 1.124095140
## 3964 1977 0.866290019
## 3965 1978 1.129146919
## 3966 1979 1.384291725
## 3967 1980 1.137844612
## 3968 1981 1.050245098
## 3969 1982 1.395728643
## 3970 1983 0.825520833
## 3971 1984 1.027118644
## 3972 1985 1.144076841
## 3973 1986 0.671912833
## 3974 1987 1.114572864
## 3975 1988 0.586929716
## 3976 1989 0.891676169
## 3977 1990 0.811666231
## 3978 1991 0.919050758
## 3979 1992 1.527870261
## 3980 1993 1.416399668
## 3981 1994 1.218786389
## 3982 1995 1.414599184
## 3983 1996 1.388410337
## 3984 1997 1.499804764
## 3985 1998 1.235514019
## 3986 1999 1.382784354
## 3987 2000 1.469512195
## 3988 2001 1.414137034
## 3989 2002 1.569590981
## 3990 2003 1.429206252
## 3991 2004 1.235543683
## 3992 2005 1.161274014
## 3993 2006 1.430987359
## 3994 2007 1.910726183
## 3995 2008 1.557726153
## 3996 2009 0.820957543
## 3997 2010 1.390862038
## 3998 2011 1.599925844
## 3999 2012 1.865928103
## 4000 2013 1.403947368
## 4001 2014 1.211079660
## 4002 2015 1.161721688
## 4003 2016 0.653513717
## 4004 2017 1.977373340
## 4005 1966 0.258126195
## 4006 1967 0.566408577
## 4007 1968 0.547762191
## 4008 1969 0.547752809
## 4009 1970 0.435957697
## 4010 1971 0.958178439
## 4011 1972 0.373592631
## 4012 1973 0.423640167
## 4013 1974 0.564587973
## 4014 1975 0.628384687
## 4015 1976 0.848118280
## 4016 1977 0.658730159
## 4017 1978 1.004812320
## 4018 1979 0.723670490
## 4019 1980 0.759475219
## 4020 1981 0.639586411
## 4021 1982 0.711148649
## 4022 1983 1.128634361
## 4023 1984 0.431567329
## 4024 1985 0.573598131
## 4025 1986 0.996447602
## 4026 1987 0.567713976
## 4027 1988 0.693384224
## 4028 1989 0.443734015
## 4029 1990 0.703666636
## 4030 1991 0.889136668
## 4031 1992 0.707890744
## 4032 1993 0.815397703
## 4033 1994 0.585618086
## 4034 1995 0.915721925
## 4035 1996 0.749095023
## 4036 1997 0.797838525
## 4037 1998 0.786223278
## 4038 1999 0.966101695
## 4039 2000 1.091153616
## 4040 2001 1.520291363
## 4041 2002 0.644295302
## 4042 2003 0.664590747
## 4043 2004 0.732283465
## 4044 2005 1.353658537
## 4045 2006 0.645868465
## 4046 2007 1.109215017
## 4047 2008 0.939086294
## 4048 2009 0.719083969
## 4049 2010 1.770851624
## 4050 2011 1.317169069
## 4051 2012 1.447619048
## 4052 2013 2.154205607
## 4053 2014 1.849372385
## 4054 2015 1.037267081
## 4055 2016 0.960000000
## 4056 2017 2.313333333
## 4057 1966 0.442748092
## 4058 1967 0.322519084
## 4059 1968 0.500524659
## 4060 1969 0.500000000
## 4061 1970 0.779396462
## 4062 1971 0.930084746
## 4063 1972 0.325991189
## 4064 1973 1.173076923
## 4065 1974 0.984126984
## 4066 1975 0.348648649
## 4067 1976 0.671717172
## 4068 1977 0.628078818
## 4069 1978 1.096638655
## 4070 1979 1.083102493
## 4071 1980 0.838709677
## 4072 1981 1.106896552
## 4073 1982 0.810126582
## 4074 1983 0.768518519
## 4075 1984 0.679758308
## 4076 1985 0.678571429
## 4077 1986 0.468493151
## 4078 1987 0.812977099
## 4079 1988 0.301470588
## 4080 1989 0.571428571
## 4081 1990 0.811145511
## 4082 1991 0.823129252
## 4083 1992 1.532582462
## 4084 1993 1.208805031
## 4085 1994 0.718918919
## 4086 1995 1.011747430
## 4087 1996 1.069377990
## 4088 1997 0.748291572
## 4089 1998 0.595570139
## 4090 1999 1.388933440
## 4091 2000 0.975692482
## 4092 2001 0.915267176
## 4093 2002 0.950530035
## 4094 2003 1.018207283
## 4095 2004 0.933143670
## 4096 2005 1.065600000
## 4097 2006 0.911858974
## 4098 2007 1.163029525
## 4099 2008 1.531250000
## 4100 2009 0.766272189
## 4101 2010 1.083550914
## 4102 2011 1.219178082
## 4103 2012 1.226950355
## 4104 2013 1.212871287
## 4105 2014 1.048309179
## 4106 2015 0.914438503
## 4107 2016 1.180555556
## 4108 2017 2.736842105
## 4109 1966 NaN
## 4110 1967 NaN
## 4111 1968 NaN
## 4112 1969 NaN
## 4113 1970 NaN
## 4114 1971 NaN
## 4115 1972 NaN
## 4116 1973 NaN
## 4117 1974 NaN
## 4118 1975 NaN
## 4119 1976 NaN
## 4120 1977 NaN
## 4121 1978 NaN
## 4122 1979 NaN
## 4123 1980 1.400000000
## 4124 1981 1.400000000
## 4125 1982 1.250000000
## 4126 1983 1.200000000
## 4127 1984 NaN
## 4128 1985 NaN
## 4129 1986 NaN
## 4130 1987 1.333333333
## 4131 1988 1.600000000
## 4132 1989 NaN
## 4133 1990 NaN
## 4134 1991 NaN
## 4135 1992 NaN
## 4136 1993 NaN
## 4137 1994 NaN
## 4138 1995 NaN
## 4139 1996 NaN
## 4140 1997 NaN
## 4141 1998 NaN
## 4142 1999 NaN
## 4143 2000 NaN
## 4144 2001 NaN
## 4145 2002 NaN
## 4146 2003 NaN
## 4147 2004 NaN
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## 4150 2007 NaN
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## 4152 2009 NaN
## 4153 2010 NaN
## 4154 2011 NaN
## 4155 2012 NaN
## 4156 2013 NaN
## 4157 2014 NaN
## 4158 2015 NaN
## 4159 2016 NaN
## 4160 2017 NaN
## 4161 1966 NaN
## 4162 1967 NaN
## 4163 1968 3.333333333
## 4164 1969 0.000000000
## 4165 1970 1.200000000
## 4166 1971 0.666666667
## 4167 1972 0.666666667
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## 4171 1976 1.400000000
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## 4173 1978 1.500000000
## 4174 1979 1.666666667
## 4175 1980 NaN
## 4176 1981 NaN
## 4177 1982 1.600000000
## 4178 1983 NaN
## 4179 1984 1.500000000
## 4180 1985 1.333333333
## 4181 1986 1.300000000
## 4182 1987 1.000000000
## 4183 1988 1.333333333
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## 4207 2012 1.000000000
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## 4210 2015 NaN
## 4211 2016 NaN
## 4212 2017 NaN
## 4213 1966 NaN
## 4214 1967 NaN
## 4215 1968 NaN
## 4216 1969 NaN
## 4217 1970 NaN
## 4218 1971 NaN
## 4219 1972 NaN
## 4220 1973 2.000000000
## 4221 1974 1.500000000
## 4222 1975 1.500000000
## 4223 1976 1.000000000
## 4224 1977 2.333333333
## 4225 1978 2.333333333
## 4226 1979 1.400000000
## 4227 1980 1.000000000
## 4228 1981 NaN
## 4229 1982 1.000000000
## 4230 1983 0.000000000
## 4231 1984 1.000000000
## 4232 1985 NaN
## 4233 1986 NaN
## 4234 1987 NaN
## 4235 1988 NaN
## 4236 1989 NaN
## 4237 1990 NaN
## 4238 1991 NaN
## 4239 1992 NaN
## 4240 1993 NaN
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## 4242 1995 NaN
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## 4256 2009 NaN
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## 4258 2011 NaN
## 4259 2012 NaN
## 4260 2013 NaN
## 4261 2014 NaN
## 4262 2015 NaN
## 4263 2016 NaN
## 4264 2017 NaN
## 4265 1966 0.625000000
## 4266 1967 0.625000000
## 4267 1968 0.625000000
## 4268 1969 0.653846154
## 4269 1970 1.200000000
## 4270 1971 0.875000000
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## 4277 1978 1.750000000
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## 4283 1984 0.428571429
## 4284 1985 1.166666667
## 4285 1986 0.666666667
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## 4288 1989 0.750000000
## 4289 1990 0.625000000
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## 4293 1994 0.384615385
## 4294 1995 0.200000000
## 4295 1996 0.000000000
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## 4311 2012 0.666666667
## 4312 2013 1.111111111
## 4313 2014 2.000000000
## 4314 2015 1.000000000
## 4315 2016 NaN
## 4316 2017 1.000000000
## 4317 1966 0.850415512
## 4318 1967 0.850000000
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## 4320 1969 0.851744186
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## 4329 1978 1.502824859
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## 4331 1980 0.773809524
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## 4333 1982 0.527472527
## 4334 1983 1.152466368
## 4335 1984 1.379464286
## 4336 1985 1.650205761
## 4337 1986 2.614349776
## 4338 1987 1.372881356
## 4339 1988 1.544217687
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## 4341 1990 0.876628352
## 4342 1991 0.796597061
## 4343 1992 1.022148394
## 4344 1993 1.518987342
## 4345 1994 1.690763052
## 4346 1995 1.066563467
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## 4350 1999 0.878962536
## 4351 2000 0.550898204
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## 4354 2003 0.539923954
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## 4362 2011 1.000000000
## 4363 2012 0.723404255
## 4364 2013 1.066666667
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## 4366 2015 1.029411765
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## 4368 2017 1.138686131
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## 4378 1975 1.319548872
## 4379 1976 1.278884462
## 4380 1977 1.020833333
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## 4383 1980 0.810218978
## 4384 1981 0.797468354
## 4385 1982 0.703703704
## 4386 1983 0.874306839
## 4387 1984 0.939058172
## 4388 1985 0.969879518
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## 4390 1987 1.281899110
## 4391 1988 1.151057402
## 4392 1989 1.567049808
## 4393 1990 1.187628866
## 4394 1991 0.744351194
## 4395 1992 1.185185185
## 4396 1993 1.522716404
## 4397 1994 1.529512894
## 4398 1995 1.278113664
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## 4402 1999 1.124024961
## 4403 2000 0.944182390
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## 4405 2002 1.141547862
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## 4415 2012 0.814144737
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## 4418 2015 1.602427921
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## 4427 1972 0.727081138
## 4428 1973 0.596741344
## 4429 1974 0.392344498
## 4430 1975 0.625632378
## 4431 1976 0.844651952
## 4432 1977 1.093234323
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## 4434 1979 0.915854739
## 4435 1980 1.071115974
## 4436 1981 1.119667014
## 4437 1982 1.099579243
## 4438 1983 0.906072874
## 4439 1984 0.614063778
## 4440 1985 1.098666667
## 4441 1986 1.548981571
## 4442 1987 1.950310559
## 4443 1988 1.200000000
## 4444 1989 1.008573655
## 4445 1990 1.328902852
## 4446 1991 1.163965682
## 4447 1992 1.237881264
## 4448 1993 1.221437126
## 4449 1994 1.342209857
## 4450 1995 1.116488464
## 4451 1996 0.925171440
## 4452 1997 0.850535429
## 4453 1998 1.654402102
## 4454 1999 1.502292877
## 4455 2000 0.933956574
## 4456 2001 0.998299898
## 4457 2002 0.517530864
## 4458 2003 0.573772752
## 4459 2004 0.812414867
## 4460 2005 0.853439040
## 4461 2006 1.134532062
## 4462 2007 0.984647113
## 4463 2008 0.782415254
## 4464 2009 0.000000000
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## 4466 2011 1.228264518
## 4467 2012 0.631974450
## 4468 2013 1.080007902
## 4469 2014 1.943753015
## 4470 2015 0.897225919
## 4471 2016 0.735082522
## 4472 2017 0.872182377
## 4473 1966 0.728461538
## 4474 1967 0.719759579
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## 4476 1969 0.699656751
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## 4479 1972 0.462381300
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## 4481 1974 0.171250000
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## 4483 1976 0.594399277
## 4484 1977 0.708418891
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## 4487 1980 0.750446694
## 4488 1981 0.589400428
## 4489 1982 0.538585209
## 4490 1983 0.599808061
## 4491 1984 0.636831276
## 4492 1985 0.639111111
## 4493 1986 0.572413793
## 4494 1987 0.495252374
## 4495 1988 0.332476435
## 4496 1989 0.554852321
## 4497 1990 0.383718044
## 4498 1991 0.297177246
## 4499 1992 0.498334291
## 4500 1993 0.362370944
## 4501 1994 0.486077077
## 4502 1995 0.323269724
## 4503 1996 0.369897054
## 4504 1997 0.645501433
## 4505 1998 0.426152614
## 4506 1999 0.383701188
## 4507 2000 0.298973092
## 4508 2001 0.359994531
## 4509 2002 0.248414376
## 4510 2003 0.290270619
## 4511 2004 0.326622887
## 4512 2005 0.362313034
## 4513 2006 1.229490501
## 4514 2007 0.661211129
## 4515 2008 0.353563648
## 4516 2009 0.000000000
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## 4518 2011 0.720512821
## 4519 2012 0.555832813
## 4520 2013 0.772212066
## 4521 2014 1.235457064
## 4522 2015 0.835135135
## 4523 2016 0.926813041
## 4524 2017 0.607736804
## 4525 1966 0.651254954
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## 4535 1976 0.726070039
## 4536 1977 0.619706840
## 4537 1978 0.645614035
## 4538 1979 0.746747615
## 4539 1980 0.674280040
## 4540 1981 0.373484848
## 4541 1982 0.401197605
## 4542 1983 0.300469484
## 4543 1984 0.625830258
## 4544 1985 0.848528356
## 4545 1986 0.723362012
## 4546 1987 1.229473684
## 4547 1988 1.062197092
## 4548 1989 0.977980258
## 4549 1990 0.855315365
## 4550 1991 1.191747075
## 4551 1992 0.752360258
## 4552 1993 0.614085603
## 4553 1994 0.645916496
## 4554 1995 0.542622285
## 4555 1996 0.446345111
## 4556 1997 0.962021702
## 4557 1998 0.719069008
## 4558 1999 0.871544127
## 4559 2000 0.816648465
## 4560 2001 0.592230949
## 4561 2002 0.592605430
## 4562 2003 0.563087580
## 4563 2004 0.412702133
## 4564 2005 0.344701777
## 4565 2006 0.656152358
## 4566 2007 0.614408177
## 4567 2008 0.337685364
## 4568 2009 0.000000000
## 4569 2010 0.451495399
## 4570 2011 0.588994207
## 4571 2012 0.643821742
## 4572 2013 0.935261194
## 4573 2014 1.728008833
## 4574 2015 0.699845281
## 4575 2016 0.715851272
## 4576 2017 1.324732123
## 4577 1966 1.153846154
## 4578 1967 1.153846154
## 4579 1968 1.500000000
## 4580 1969 1.333333333
## 4581 1970 0.875000000
## 4582 1971 1.000000000
## 4583 1972 1.000000000
## 4584 1973 2.111111111
## 4585 1974 1.000000000
## 4586 1975 0.600000000
## 4587 1976 0.750000000
## 4588 1977 1.200000000
## 4589 1978 1.363636364
## 4590 1979 1.090909091
## 4591 1980 1.500000000
## 4592 1981 3.000000000
## 4593 1982 1.400000000
## 4594 1983 1.833333333
## 4595 1984 0.875000000
## 4596 1985 0.818181818
## 4597 1986 1.090909091
## 4598 1987 0.875000000
## 4599 1988 1.500000000
## 4600 1989 0.818181818
## 4601 1990 0.418414918
## 4602 1991 0.347290640
## 4603 1992 0.231591449
## 4604 1993 0.316872428
## 4605 1994 0.375838926
## 4606 1995 0.210526316
## 4607 1996 0.428571429
## 4608 1997 0.861904762
## 4609 1998 0.770538244
## 4610 1999 0.831632653
## 4611 2000 0.090651558
## 4612 2001 0.238219895
## 4613 2002 0.118644068
## 4614 2003 0.554347826
## 4615 2004 0.625000000
## 4616 2005 0.333333333
## 4617 2006 0.400000000
## 4618 2007 1.000000000
## 4619 2008 0.351351351
## 4620 2009 0.000000000
## 4621 2010 0.230366492
## 4622 2011 0.606060606
## 4623 2012 0.416666667
## 4624 2013 0.479704797
## 4625 2014 0.566115702
## 4626 2015 0.320512821
## 4627 2016 0.320000000
## 4628 2017 0.394833948
## 4629 1966 0.917763158
## 4630 1967 0.920000000
## 4631 1968 0.758964143
## 4632 1969 0.950682057
## 4633 1970 1.104316547
## 4634 1971 0.832000000
## 4635 1972 1.155251142
## 4636 1973 1.193229901
## 4637 1974 0.367073171
## 4638 1975 1.011854361
## 4639 1976 0.922547332
## 4640 1977 1.073891626
## 4641 1978 1.249706917
## 4642 1979 1.288297872
## 4643 1980 1.292307692
## 4644 1981 0.534936999
## 4645 1982 0.587223587
## 4646 1983 0.696655133
## 4647 1984 0.765652952
## 4648 1985 1.495263870
## 4649 1986 1.027149321
## 4650 1987 1.600459242
## 4651 1988 1.585305106
## 4652 1989 1.328326180
## 4653 1990 1.503691907
## 4654 1991 1.684202877
## 4655 1992 1.581131553
## 4656 1993 1.414390683
## 4657 1994 2.170864428
## 4658 1995 0.994361866
## 4659 1996 1.463626343
## 4660 1997 0.974802928
## 4661 1998 1.228005527
## 4662 1999 1.356434132
## 4663 2000 1.376340367
## 4664 2001 1.345607575
## 4665 2002 0.973594687
## 4666 2003 0.887406617
## 4667 2004 1.016404555
## 4668 2005 1.103400309
## 4669 2006 1.862778316
## 4670 2007 1.779009434
## 4671 2008 1.394863563
## 4672 2009 0.000000000
## 4673 2010 1.452978530
## 4674 2011 1.747943596
## 4675 2012 1.210957501
## 4676 2013 1.773361976
## 4677 2014 3.177999396
## 4678 2015 2.148478489
## 4679 2016 1.647790055
## 4680 2017 2.155096419
## 4681 1966 0.797752809
## 4682 1967 0.804347826
## 4683 1968 0.582608696
## 4684 1969 0.750000000
## 4685 1970 0.697674419
## 4686 1971 0.833333333
## 4687 1972 0.785714286
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## 4689 1974 0.115384615
## 4690 1975 0.346774194
## 4691 1976 0.659259259
## 4692 1977 1.028037383
## 4693 1978 1.365591398
## 4694 1979 0.933884298
## 4695 1980 0.778846154
## 4696 1981 0.916666667
## 4697 1982 0.871287129
## 4698 1983 1.053763441
## 4699 1984 1.011363636
## 4700 1985 1.072000000
## 4701 1986 1.131034483
## 4702 1987 1.268292683
## 4703 1988 1.435294118
## 4704 1989 0.949579832
## 4705 1990 1.331510595
## 4706 1991 1.257868020
## 4707 1992 1.480934809
## 4708 1993 1.337175793
## 4709 1994 1.139482565
## 4710 1995 0.754874652
## 4711 1996 1.586315789
## 4712 1997 0.948480845
## 4713 1998 1.073414905
## 4714 1999 0.935294118
## 4715 2000 0.915376677
## 4716 2001 0.925874126
## 4717 2002 0.591411043
## 4718 2003 0.766114180
## 4719 2004 0.737131091
## 4720 2005 0.577046549
## 4721 2006 0.965909091
## 4722 2007 0.837837838
## 4723 2008 1.570519618
## 4724 2009 0.000000000
## 4725 2010 0.538666667
## 4726 2011 0.445333333
## 4727 2012 0.915966387
## 4728 2013 2.264550265
## 4729 2014 2.034267913
## 4730 2015 2.189189189
## 4731 2016 1.012500000
## 4732 2017 1.138996139
## 4733 1966 1.049504950
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## 4743 1976 0.909547739
## 4744 1977 1.715846995
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## 4746 1979 2.191176471
## 4747 1980 1.189349112
## 4748 1981 2.004926108
## 4749 1982 0.678787879
## 4750 1983 0.903030303
## 4751 1984 1.079365079
## 4752 1985 1.462184874
## 4753 1986 1.365217391
## 4754 1987 0.492063492
## 4755 1988 0.607692308
## 4756 1989 1.376470588
## 4757 1990 1.785645005
## 4758 1991 2.160919540
## 4759 1992 2.273399015
## 4760 1993 2.269284712
## 4761 1994 2.424148607
## 4762 1995 2.325695581
## 4763 1996 2.730109204
## 4764 1997 1.526000000
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## 4766 1999 1.765199161
## 4767 2000 2.397941681
## 4768 2001 1.437037037
## 4769 2002 0.590425532
## 4770 2003 0.586121437
## 4771 2004 0.632377740
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## 4774 2007 0.280423280
## 4775 2008 0.305882353
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## 4778 2011 1.093896714
## 4779 2012 0.723684211
## 4780 2013 2.515151515
## 4781 2014 2.915789474
## 4782 2015 3.871794872
## 4783 2016 0.831632653
## 4784 2017 3.593750000
## 4785 1966 0.000000000
## 4786 1967 1.000000000
## 4787 1968 NaN
## 4788 1969 1.000000000
## 4789 1970 0.000000000
## 4790 1971 1.000000000
## 4791 1972 1.000000000
## 4792 1973 0.000000000
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## 4796 1977 0.000000000
## 4797 1978 1.000000000
## 4798 1979 1.000000000
## 4799 1980 1.000000000
## 4800 1981 1.000000000
## 4801 1982 1.000000000
## 4802 1983 NaN
## 4803 1984 NaN
## 4804 1985 NaN
## 4805 1986 NaN
## 4806 1987 NaN
## 4807 1988 NaN
## 4808 1989 NaN
## 4809 1990 1.000000000
## 4810 1991 NaN
## 4811 1992 NaN
## 4812 1993 NaN
## 4813 1994 NaN
## 4814 1995 NaN
## 4815 1996 NaN
## 4816 1997 0.000000000
## 4817 1998 1.000000000
## 4818 1999 NaN
## 4819 2000 NaN
## 4820 2001 NaN
## 4821 2002 NaN
## 4822 2003 NaN
## 4823 2004 NaN
## 4824 2005 NaN
## 4825 2006 NaN
## 4826 2007 NaN
## 4827 2008 NaN
## 4828 2009 NaN
## 4829 2010 NaN
## 4830 2011 NaN
## 4831 2012 NaN
## 4832 2013 1.000000000
## 4833 2014 NaN
## 4834 2015 NaN
## 4835 2016 NaN
## 4836 2017 NaN
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## 4838 1967 1.000000000
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## 4854 1983 1.000000000
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## 4857 1986 1.000000000
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## 4888 2017 NaN
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## 4901 1978 NaN
## 4902 1979 NaN
## 4903 1980 2.000000000
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## 4906 1983 NaN
## 4907 1984 NaN
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## 4913 1990 NaN
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## 4939 1968 0.400000000
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## 4950 1979 1.000000000
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## 4958 1987 NaN
## 4959 1988 NaN
## 4960 1989 NaN
## 4961 1990 2.000000000
## 4962 1991 1.000000000
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## 4964 1993 NaN
## 4965 1994 NaN
## 4966 1995 NaN
## 4967 1996 NaN
## 4968 1997 1.666666667
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## 4997 1974 2.000000000
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## 4999 1976 1.428571429
## 5000 1977 NaN
## 5001 1978 1.000000000
## 5002 1979 1.000000000
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## 5041 1966 NaN
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## 5050 1975 2.333333333
## 5051 1976 1.666666667
## 5052 1977 0.500000000
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## 5089 2014 NaN
## 5090 2015 NaN
## 5091 2016 NaN
## 5092 2017 NaN
## 5093 1966 0.172043011
## 5094 1967 0.312500000
## 5095 1968 0.308411215
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## 5110 1983 0.987179487
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## 5112 1985 0.728873239
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## 5115 1988 1.593750000
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## 5119 1992 1.718614719
## 5120 1993 1.125000000
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## 5122 1995 0.948979592
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## 5126 1999 1.063380282
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## 5130 2003 0.666666667
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## 5132 2005 0.945945946
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## 5138 2011 1.330508475
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## 5142 2015 0.875000000
## 5143 2016 1.909090909
## 5144 2017 1.375000000
## 5145 1966 0.335216573
## 5146 1967 0.388794567
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## 5294 2011 NaN
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## 5296 2013 NaN
## 5297 2014 NaN
## 5298 2015 NaN
## 5299 2016 0.214285714
## 5300 2017 0.625000000
## 5301 1966 0.780730897
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## 5380 1993 1.471277843
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## 5427 1988 1.522483940
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## 5430 1991 1.011337868
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## 5555 2012 2.456164384
## 5556 2013 1.848484848
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## 5580 1985 0.601762821
## 5581 1986 1.005065123
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## 5586 1991 0.674118659
## 5587 1992 1.628742515
## 5588 1993 1.395852969
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## 5607 2012 1.070666667
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## 5609 2014 0.416666667
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## 5612 2017 1.385714286
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## 5628 1981 1.198156682
## 5629 1982 1.212156634
## 5630 1983 0.718750000
## 5631 1984 0.917222222
## 5632 1985 0.746916890
## 5633 1986 0.540582726
## 5634 1987 0.964723926
## 5635 1988 0.447665848
## 5636 1989 1.016997167
## 5637 1990 1.104831358
## 5638 1991 0.740911183
## 5639 1992 1.884478145
## 5640 1993 1.403292181
## 5641 1994 1.389456697
## 5642 1995 1.439419319
## 5643 1996 1.620108965
## 5644 1997 1.399132321
## 5645 1998 1.115088106
## 5646 1999 1.393889798
## 5647 2000 1.265111347
## 5648 2001 1.274326553
## 5649 2002 1.484094853
## 5650 2003 1.364794441
## 5651 2004 0.762554247
## 5652 2005 1.192462988
## 5653 2006 0.932432432
## 5654 2007 1.498761610
## 5655 2008 1.158006363
## 5656 2009 0.955420561
## 5657 2010 1.209893307
## 5658 2011 1.289115646
## 5659 2012 1.283893130
## 5660 2013 1.058637084
## 5661 2014 0.413133832
## 5662 2015 0.311936937
## 5663 2016 0.508559622
## 5664 2017 0.564984820
## 5665 1966 0.367553866
## 5666 1967 0.580606061
## 5667 1968 0.580814717
## 5668 1969 0.246359223
## 5669 1970 0.245843230
## 5670 1971 0.330152672
## 5671 1972 0.129151292
## 5672 1973 0.270419426
## 5673 1974 0.684834123
## 5674 1975 0.634831461
## 5675 1976 1.133008921
## 5676 1977 1.095716198
## 5677 1978 1.063662375
## 5678 1979 1.000730460
## 5679 1980 0.872340426
## 5680 1981 0.676816609
## 5681 1982 0.730709877
## 5682 1983 0.726808511
## 5683 1984 0.934879572
## 5684 1985 0.588646288
## 5685 1986 0.423742786
## 5686 1987 1.116693679
## 5687 1988 0.436685289
## 5688 1989 0.918987342
## 5689 1990 1.009847807
## 5690 1991 0.380715706
## 5691 1992 1.429547395
## 5692 1993 1.037753223
## 5693 1994 0.841794569
## 5694 1995 1.560047562
## 5695 1996 1.329326923
## 5696 1997 0.766832918
## 5697 1998 0.788043478
## 5698 1999 1.182180851
## 5699 2000 1.305486284
## 5700 2001 0.642011834
## 5701 2002 1.208998549
## 5702 2003 0.781021898
## 5703 2004 0.602862254
## 5704 2005 0.807547170
## 5705 2006 1.086614173
## 5706 2007 0.878292683
## 5707 2008 0.675287356
## 5708 2009 0.722222222
## 5709 2010 1.296130952
## 5710 2011 1.137847222
## 5711 2012 1.052777778
## 5712 2013 1.276243094
## 5713 2014 0.530927835
## 5714 2015 0.291666667
## 5715 2016 0.296842105
## 5716 2017 0.695714286
## 5717 1966 0.546379170
## 5718 1967 0.866028708
## 5719 1968 0.770109890
## 5720 1969 0.692307692
## 5721 1970 0.246059545
## 5722 1971 0.389478338
## 5723 1972 0.246898263
## 5724 1973 0.348468069
## 5725 1974 0.641344383
## 5726 1975 0.397899160
## 5727 1976 0.870560379
## 5728 1977 1.223533619
## 5729 1978 0.902317881
## 5730 1979 1.250100847
## 5731 1980 0.752679308
## 5732 1981 0.734534064
## 5733 1982 1.477879633
## 5734 1983 0.342618384
## 5735 1984 1.171918628
## 5736 1985 0.806648835
## 5737 1986 0.505515405
## 5738 1987 1.240117130
## 5739 1988 0.291907514
## 5740 1989 1.561970125
## 5741 1990 1.224806202
## 5742 1991 0.680960549
## 5743 1992 1.900392157
## 5744 1993 1.556023589
## 5745 1994 1.562386157
## 5746 1995 2.347968239
## 5747 1996 1.740723344
## 5748 1997 1.100384246
## 5749 1998 1.162121963
## 5750 1999 1.313056380
## 5751 2000 1.227751196
## 5752 2001 1.162803532
## 5753 2002 1.625945317
## 5754 2003 1.305724726
## 5755 2004 1.286751361
## 5756 2005 0.781487991
## 5757 2006 0.952968842
## 5758 2007 1.163110846
## 5759 2008 0.946990117
## 5760 2009 0.732533973
## 5761 2010 1.055098814
## 5762 2011 1.294508894
## 5763 2012 1.218006182
## 5764 2013 0.807474519
## 5765 2014 0.323895810
## 5766 2015 0.370838117
## 5767 2016 0.371578947
## 5768 2017 0.653846154
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## 5770 1967 0.480909091
## 5771 1968 0.481065919
## 5772 1969 0.169124424
## 5773 1970 0.168915977
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## 5776 1973 0.287660568
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## 5778 1975 0.773384030
## 5779 1976 0.715713301
## 5780 1977 0.851864293
## 5781 1978 1.273402195
## 5782 1979 1.339955850
## 5783 1980 0.748654638
## 5784 1981 1.051368810
## 5785 1982 1.074038462
## 5786 1983 0.686081243
## 5787 1984 1.054735547
## 5788 1985 0.657588739
## 5789 1986 0.212082671
## 5790 1987 1.215253703
## 5791 1988 0.456981132
## 5792 1989 1.254563233
## 5793 1990 1.125531219
## 5794 1991 0.462425840
## 5795 1992 1.693920335
## 5796 1993 1.360177318
## 5797 1994 1.097672485
## 5798 1995 1.610870421
## 5799 1996 1.684014870
## 5800 1997 0.908680947
## 5801 1998 1.267078488
## 5802 1999 1.217717718
## 5803 2000 1.256219829
## 5804 2001 1.048939641
## 5805 2002 1.340591619
## 5806 2003 1.146643865
## 5807 2004 0.899310345
## 5808 2005 1.381065652
## 5809 2006 1.108849976
## 5810 2007 1.256091497
## 5811 2008 0.884139483
## 5812 2009 0.670679321
## 5813 2010 1.245314286
## 5814 2011 1.225356479
## 5815 2012 1.253346587
## 5816 2013 1.364472753
## 5817 2014 0.797904192
## 5818 2015 0.434871795
## 5819 2016 0.823356232
## 5820 2017 0.834245675
## 5821 1966 0.466588967
## 5822 1967 0.660362794
## 5823 1968 0.843289086
## 5824 1969 0.781986857
## 5825 1970 0.425435276
## 5826 1971 0.528024739
## 5827 1972 0.398349587
## 5828 1973 0.489448604
## 5829 1974 0.783794017
## 5830 1975 0.819637883
## 5831 1976 0.919178536
## 5832 1977 0.889967638
## 5833 1978 1.226371951
## 5834 1979 1.324039186
## 5835 1980 1.202449292
## 5836 1981 1.461598138
## 5837 1982 1.250718096
## 5838 1983 1.534344711
## 5839 1984 0.846306396
## 5840 1985 1.152597403
## 5841 1986 1.051683262
## 5842 1987 1.596390845
## 5843 1988 1.055281343
## 5844 1989 2.074797523
## 5845 1990 1.998030527
## 5846 1991 0.728967254
## 5847 1992 2.598121602
## 5848 1993 1.508762887
## 5849 1994 1.974613003
## 5850 1995 1.473063973
## 5851 1996 2.507821901
## 5852 1997 1.206707317
## 5853 1998 1.781609195
## 5854 1999 1.867838044
## 5855 2000 1.508566978
## 5856 2001 1.319969160
## 5857 2002 1.584760274
## 5858 2003 1.655555556
## 5859 2004 1.127576055
## 5860 2005 1.049197861
## 5861 2006 1.416783217
## 5862 2007 1.863201320
## 5863 2008 1.788732394
## 5864 2009 1.751800000
## 5865 2010 1.242105263
## 5866 2011 1.773651452
## 5867 2012 1.700480769
## 5868 2013 0.856502242
## 5869 2014 1.072815534
## 5870 2015 0.622549020
## 5871 2016 1.429207480
## 5872 2017 0.920792079
## 5873 1966 0.490403447
## 5874 1967 0.559514487
## 5875 1968 0.827269245
## 5876 1969 0.787351779
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## 5878 1971 0.452770028
## 5879 1972 0.347266881
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## 5881 1974 0.764218009
## 5882 1975 0.603221083
## 5883 1976 0.909712722
## 5884 1977 1.068519406
## 5885 1978 0.673943662
## 5886 1979 0.913805186
## 5887 1980 0.776203966
## 5888 1981 0.898437500
## 5889 1982 0.740875912
## 5890 1983 0.975200584
## 5891 1984 0.916189112
## 5892 1985 0.979519774
## 5893 1986 0.620581029
## 5894 1987 1.529646902
## 5895 1988 0.889729730
## 5896 1989 1.926434354
## 5897 1990 1.612059571
## 5898 1991 0.994232156
## 5899 1992 2.104036186
## 5900 1993 1.706903679
## 5901 1994 1.471172023
## 5902 1995 1.770056208
## 5903 1996 2.159962139
## 5904 1997 1.498314877
## 5905 1998 1.506539834
## 5906 1999 1.440401506
## 5907 2000 1.454545455
## 5908 2001 1.332673267
## 5909 2002 1.621399177
## 5910 2003 1.684322034
## 5911 2004 1.199703044
## 5912 2005 1.769344141
## 5913 2006 2.004441155
## 5914 2007 2.406494662
## 5915 2008 1.934554974
## 5916 2009 1.590384615
## 5917 2010 0.893178893
## 5918 2011 2.481303602
## 5919 2012 1.586956522
## 5920 2013 0.577220077
## 5921 2014 1.004444444
## 5922 2015 0.695238095
## 5923 2016 1.185185185
## 5924 2017 0.725091288
## 5925 1966 0.487603306
## 5926 1967 0.555237550
## 5927 1968 0.718990121
## 5928 1969 0.606575964
## 5929 1970 0.280262373
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## 5931 1972 0.482973893
## 5932 1973 0.553805774
## 5933 1974 0.684444444
## 5934 1975 0.656857593
## 5935 1976 1.094823416
## 5936 1977 0.889391979
## 5937 1978 1.230769231
## 5938 1979 1.149683081
## 5939 1980 1.102831595
## 5940 1981 0.956649522
## 5941 1982 1.346074380
## 5942 1983 1.233896515
## 5943 1984 1.155068493
## 5944 1985 1.249167592
## 5945 1986 0.783449758
## 5946 1987 1.280575540
## 5947 1988 0.935763098
## 5948 1989 1.862291555
## 5949 1990 1.415178571
## 5950 1991 0.883899233
## 5951 1992 1.463279678
## 5952 1993 1.362898551
## 5953 1994 1.535688006
## 5954 1995 1.723494487
## 5955 1996 1.856792144
## 5956 1997 1.457395498
## 5957 1998 1.506076389
## 5958 1999 1.116239316
## 5959 2000 1.433024431
## 5960 2001 1.401834862
## 5961 2002 1.399416910
## 5962 2003 1.428143713
## 5963 2004 0.955818966
## 5964 2005 1.315621679
## 5965 2006 1.177402323
## 5966 2007 1.358536585
## 5967 2008 0.910669975
## 5968 2009 1.072708758
## 5969 2010 1.067561983
## 5970 2011 1.467506297
## 5971 2012 1.298938992
## 5972 2013 0.644886364
## 5973 2014 1.022388060
## 5974 2015 0.728346457
## 5975 2016 1.230125523
## 5976 2017 0.954198473
## 5977 1966 0.445548067
## 5978 1967 0.490021383
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## 5988 1977 0.959653218
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## 5990 1979 0.948636203
## 5991 1980 0.800942712
## 5992 1981 0.956649522
## 5993 1982 1.381614523
## 5994 1983 1.067085954
## 5995 1984 1.148631030
## 5996 1985 1.307048458
## 5997 1986 0.808136847
## 5998 1987 1.339065256
## 5999 1988 0.861051502
## 6000 1989 1.814995563
## 6001 1990 1.553201507
## 6002 1991 1.323813708
## 6003 1992 1.633304196
## 6004 1993 1.177494692
## 6005 1994 0.988448016
## 6006 1995 1.011656442
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## 6008 1997 0.723067559
## 6009 1998 1.422123331
## 6010 1999 1.200000000
## 6011 2000 1.102331606
## 6012 2001 1.094158076
## 6013 2002 1.180774749
## 6014 2003 1.028659954
## 6015 2004 0.981754996
## 6016 2005 0.768695652
## 6017 2006 0.982035928
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## 6019 2008 0.967741935
## 6020 2009 0.524441341
## 6021 2010 0.764379562
## 6022 2011 1.285522388
## 6023 2012 1.152516779
## 6024 2013 0.322981366
## 6025 2014 0.445475638
## 6026 2015 0.406175772
## 6027 2016 0.451505017
## 6028 2017 0.536585366
## 6029 1966 0.608333333
## 6030 1967 0.612949640
## 6031 1968 0.750000000
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## 6043 1980 0.823200000
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## 6050 1987 0.947416138
## 6051 1988 1.020242915
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## 6053 1990 0.965478842
## 6054 1991 0.837092732
## 6055 1992 1.089552239
## 6056 1993 1.101740295
## 6057 1994 0.893758300
## 6058 1995 0.968656716
## 6059 1996 1.473071325
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## 6061 1998 1.075785582
## 6062 1999 0.793814433
## 6063 2000 1.018561485
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## 6065 2002 0.918840580
## 6066 2003 0.983221477
## 6067 2004 0.896825397
## 6068 2005 0.808080808
## 6069 2006 0.852564103
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## 6071 2008 0.348837209
## 6072 2009 0.462162162
## 6073 2010 0.490322581
## 6074 2011 0.728125000
## 6075 2012 0.877500000
## 6076 2013 0.233333333
## 6077 2014 0.425000000
## 6078 2015 0.511627907
## 6079 2016 0.500000000
## 6080 2017 0.433333333
## 6081 1966 0.386666667
## 6082 1967 0.434922680
## 6083 1968 0.618934911
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## 6090 1975 0.587261146
## 6091 1976 0.680174564
## 6092 1977 0.782345828
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## 6094 1979 0.786028949
## 6095 1980 0.661625709
## 6096 1981 0.736641221
## 6097 1982 1.073202614
## 6098 1983 0.730128205
## 6099 1984 0.614314115
## 6100 1985 0.822845417
## 6101 1986 0.843121480
## 6102 1987 1.021565495
## 6103 1988 1.060271647
## 6104 1989 1.374548736
## 6105 1990 1.223206377
## 6106 1991 0.742526519
## 6107 1992 1.100622407
## 6108 1993 1.105088496
## 6109 1994 0.869501466
## 6110 1995 1.355982275
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## 6112 1997 0.876441516
## 6113 1998 1.025688073
## 6114 1999 0.877227723
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## 6118 2003 0.959641256
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## 6125 2010 0.736434109
## 6126 2011 0.713924051
## 6127 2012 0.829032258
## 6128 2013 0.404255319
## 6129 2014 0.589743590
## 6130 2015 0.875000000
## 6131 2016 0.681818182
## 6132 2017 0.739130435
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## 6135 1968 0.428571429
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## 6143 1976 0.416666667
## 6144 1977 0.480000000
## 6145 1978 0.480000000
## 6146 1979 0.615384615
## 6147 1980 0.407407407
## 6148 1981 0.360000000
## 6149 1982 0.703703704
## 6150 1983 0.413793103
## 6151 1984 0.375000000
## 6152 1985 0.416666667
## 6153 1986 0.300000000
## 6154 1987 0.588235294
## 6155 1988 0.500000000
## 6156 1989 0.666666667
## 6157 1990 1.000000000
## 6158 1991 1.000000000
## 6159 1992 NaN
## 6160 1993 NaN
## 6161 1994 1.000000000
## 6162 1995 1.000000000
## 6163 1996 1.333333333
## 6164 1997 0.750000000
## 6165 1998 NaN
## 6166 1999 NaN
## 6167 2000 NaN
## 6168 2001 NaN
## 6169 2002 1.000000000
## 6170 2003 1.000000000
## 6171 2004 NaN
## 6172 2005 NaN
## 6173 2006 NaN
## 6174 2007 NaN
## 6175 2008 NaN
## 6176 2009 NaN
## 6177 2010 NaN
## 6178 2011 NaN
## 6179 2012 NaN
## 6180 2013 NaN
## 6181 2014 NaN
## 6182 2015 NaN
## 6183 2016 NaN
## 6184 2017 NaN
## 6185 1966 0.490616622
## 6186 1967 0.413489736
## 6187 1968 0.412607450
## 6188 1969 0.317280453
## 6189 1970 0.311688312
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## 6209 1990 0.611275964
## 6210 1991 0.610810811
## 6211 1992 0.845930233
## 6212 1993 1.116417910
## 6213 1994 0.802395210
## 6214 1995 0.664285714
## 6215 1996 1.378378378
## 6216 1997 0.618644068
## 6217 1998 0.900000000
## 6218 1999 1.078947368
## 6219 2000 1.751412429
## 6220 2001 1.098837209
## 6221 2002 1.157894737
## 6222 2003 1.000000000
## 6223 2004 0.971962617
## 6224 2005 1.306818182
## 6225 2006 1.311688312
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## 6227 2008 1.000000000
## 6228 2009 0.677777778
## 6229 2010 0.623809524
## 6230 2011 0.740000000
## 6231 2012 0.951851852
## 6232 2013 0.777777778
## 6233 2014 3.964285714
## 6234 2015 0.666666667
## 6235 2016 0.370370370
## 6236 2017 0.590090090
## 6237 1966 0.099694812
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## 6239 1968 0.054639175
## 6240 1969 0.128721541
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## 6247 1976 0.284420290
## 6248 1977 0.165120594
## 6249 1978 0.397321429
## 6250 1979 0.275132275
## 6251 1980 0.218446602
## 6252 1981 0.398568019
## 6253 1982 0.130067568
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## 6255 1984 0.176923077
## 6256 1985 0.065897858
## 6257 1986 0.123076923
## 6258 1987 0.060606061
## 6259 1988 0.363636364
## 6260 1989 0.232638889
## 6261 1990 0.340540541
## 6262 1991 0.074324324
## 6263 1992 0.112299465
## 6264 1993 0.276807980
## 6265 1994 0.533333333
## 6266 1995 0.590625000
## 6267 1996 0.897310513
## 6268 1997 0.788235294
## 6269 1998 0.826014913
## 6270 1999 1.334328358
## 6271 2000 NaN
## 6272 2001 NaN
## 6273 2002 1.000000000
## 6274 2003 0.927710843
## 6275 2004 0.928571429
## 6276 2005 1.158273381
## 6277 2006 1.114173228
## 6278 2007 1.334591195
## 6279 2008 1.265625000
## 6280 2009 1.000000000
## 6281 2010 1.041666667
## 6282 2011 0.987755102
## 6283 2012 0.797297297
## 6284 2013 0.816901408
## 6285 2014 1.000000000
## 6286 2015 0.750000000
## 6287 2016 NaN
## 6288 2017 1.500000000
## 6289 1966 0.114197531
## 6290 1967 0.231467474
## 6291 1968 0.315447154
## 6292 1969 0.274959083
## 6293 1970 0.429906542
## 6294 1971 0.388671875
## 6295 1972 0.100000000
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## 6298 1975 0.477272727
## 6299 1976 0.577371048
## 6300 1977 0.419834711
## 6301 1978 0.490942029
## 6302 1979 0.735074627
## 6303 1980 0.514522822
## 6304 1981 0.645360825
## 6305 1982 0.326959847
## 6306 1983 0.441237113
## 6307 1984 0.385294118
## 6308 1985 0.084070796
## 6309 1986 0.423340961
## 6310 1987 0.000000000
## 6311 1988 0.424908425
## 6312 1989 0.719063545
## 6313 1990 0.201405152
## 6314 1991 0.117283951
## 6315 1992 0.535825545
## 6316 1993 0.275000000
## 6317 1994 0.142857143
## 6318 1995 0.592105263
## 6319 1996 0.547945205
## 6320 1997 0.340909091
## 6321 1998 0.167487685
## 6322 1999 0.072289157
## 6323 2000 0.027210884
## 6324 2001 0.520833333
## 6325 2002 0.280000000
## 6326 2003 0.120000000
## 6327 2004 1.000000000
## 6328 2005 1.166666667
## 6329 2006 NaN
## 6330 2007 NaN
## 6331 2008 NaN
## 6332 2009 1.000000000
## 6333 2010 1.083333333
## 6334 2011 NaN
## 6335 2012 NaN
## 6336 2013 NaN
## 6337 2014 NaN
## 6338 2015 NaN
## 6339 2016 NaN
## 6340 2017 NaN
## 6341 1966 0.211256117
## 6342 1967 0.217872340
## 6343 1968 0.088316467
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## 6369 1994 NaN
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## 6382 2007 NaN
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## 6385 2010 0.431818182
## 6386 2011 1.000000000
## 6387 2012 1.220588235
## 6388 2013 1.198250729
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## 6418 1991 1.936936937
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## 6421 1994 NaN
## 6422 1995 NaN
## 6423 1996 1.413043478
## 6424 1997 1.303482587
## 6425 1998 1.502994012
## 6426 1999 1.178294574
## 6427 2000 0.850746269
## 6428 2001 1.449197861
## 6429 2002 1.654255319
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## 6439 2012 1.495412844
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## 6473 1994 NaN
## 6474 1995 NaN
## 6475 1996 1.687500000
## 6476 1997 1.708333333
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## 6478 1999 0.959641256
## 6479 2000 0.459259259
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## 6493 2014 2.000000000
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## 6522 1991 0.141333333
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## 6524 1993 0.019387755
## 6525 1994 NaN
## 6526 1995 NaN
## 6527 1996 0.185463659
## 6528 1997 0.228282828
## 6529 1998 0.821138211
## 6530 1999 0.038461538
## 6531 2000 0.017543860
## 6532 2001 1.000000000
## 6533 2002 NaN
## 6534 2003 NaN
## 6535 2004 NaN
## 6536 2005 NaN
## 6537 2006 1.153846154
## 6538 2007 1.348484848
## 6539 2008 1.258373206
## 6540 2009 1.000000000
## 6541 2010 NaN
## 6542 2011 NaN
## 6543 2012 1.333333333
## 6544 2013 1.443478261
## 6545 2014 1.333333333
## 6546 2015 1.414675768
## 6547 2016 1.540000000
## 6548 2017 NaN
## 6549 1966 0.319444444
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## 6573 1990 0.604651163
## 6574 1991 0.190476190
## 6575 1992 0.338983051
## 6576 1993 0.269230769
## 6577 1994 NaN
## 6578 1995 NaN
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## 6581 1998 0.960000000
## 6582 1999 1.281250000
## 6583 2000 0.650000000
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## 6620 1985 0.666666667
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## 6624 1989 0.500000000
## 6625 1990 0.640000000
## 6626 1991 0.200000000
## 6627 1992 0.344827586
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## 6629 1994 NaN
## 6630 1995 NaN
## 6631 1996 1.631578947
## 6632 1997 1.214285714
## 6633 1998 1.727272727
## 6634 1999 1.338461538
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## 6674 1987 0.000000000
## 6675 1988 0.157464213
## 6676 1989 0.073863636
## 6677 1990 NaN
## 6678 1991 NaN
## 6679 1992 NaN
## 6680 1993 NaN
## 6681 1994 NaN
## 6682 1995 NaN
## 6683 1996 0.897637795
## 6684 1997 0.786163522
## 6685 1998 0.825581395
## 6686 1999 1.308510638
## 6687 2000 0.750000000
## 6688 2001 0.750000000
## 6689 2002 NaN
## 6690 2003 0.862068966
## 6691 2004 0.948275862
## 6692 2005 1.181818182
## 6693 2006 1.130434783
## 6694 2007 1.375000000
## 6695 2008 NaN
## 6696 2009 1.000000000
## 6697 2010 NaN
## 6698 2011 NaN
## 6699 2012 NaN
## 6700 2013 NaN
## 6701 2014 1.166666667
## 6702 2015 1.388888889
## 6703 2016 1.600000000
## 6704 2017 1.333333333
## 6705 1966 0.022471910
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## 6733 1994 NaN
## 6734 1995 NaN
## 6735 1996 0.888888889
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## 6737 1998 0.822222222
## 6738 1999 0.515873016
## 6739 2000 0.628205128
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## 6742 2003 0.800000000
## 6743 2004 1.000000000
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## 6745 2006 1.142857143
## 6746 2007 1.250000000
## 6747 2008 NaN
## 6748 2009 NaN
## 6749 2010 NaN
## 6750 2011 NaN
## 6751 2012 NaN
## 6752 2013 1.333333333
## 6753 2014 1.200000000
## 6754 2015 1.414814815
## 6755 2016 1.550000000
## 6756 2017 NaN
## 6757 1966 0.324675325
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## 6785 1994 NaN
## 6786 1995 NaN
## 6787 1996 0.916666667
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## 6790 1999 1.307692308
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## 6797 2006 1.000000000
## 6798 2007 1.000000000
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## 6800 2009 1.000000000
## 6801 2010 1.060606061
## 6802 2011 NaN
## 6803 2012 NaN
## 6804 2013 1.452830189
## 6805 2014 NaN
## 6806 2015 1.400000000
## 6807 2016 2.000000000
## 6808 2017 2.000000000
## 6809 1966 0.117988395
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## 6830 1987 0.000000000
## 6831 1988 0.243564356
## 6832 1989 0.446808511
## 6833 1990 NaN
## 6834 1991 0.142857143
## 6835 1992 0.346938776
## 6836 1993 NaN
## 6837 1994 NaN
## 6838 1995 NaN
## 6839 1996 NaN
## 6840 1997 NaN
## 6841 1998 NaN
## 6842 1999 NaN
## 6843 2000 NaN
## 6844 2001 NaN
## 6845 2002 NaN
## 6846 2003 NaN
## 6847 2004 NaN
## 6848 2005 1.333333333
## 6849 2006 NaN
## 6850 2007 NaN
## 6851 2008 NaN
## 6852 2009 NaN
## 6853 2010 NaN
## 6854 2011 NaN
## 6855 2012 NaN
## 6856 2013 1.443042582
## 6857 2014 NaN
## 6858 2015 1.400000000
## 6859 2016 1.539806548
## 6860 2017 1.393568147
## 6861 1966 0.410852713
## 6862 1967 0.292749658
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## 6885 1990 0.345649583
## 6886 1991 0.194379391
## 6887 1992 0.339222615
## 6888 1993 0.275524476
## 6889 1994 NaN
## 6890 1995 NaN
## 6891 1996 0.896226415
## 6892 1997 0.781609195
## 6893 1998 0.859154930
## 6894 1999 1.333333333
## 6895 2000 0.628865979
## 6896 2001 0.752688172
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## 6909 2014 1.193548387
## 6910 2015 1.413533835
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## 6938 1991 0.190476190
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## 6941 1994 NaN
## 6942 1995 NaN
## 6943 1996 1.000000000
## 6944 1997 0.812500000
## 6945 1998 0.800000000
## 6946 1999 0.675675676
## 6947 2000 0.638888889
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## 6950 2003 0.880000000
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## 6957 2010 1.078431373
## 6958 2011 1.000000000
## 6959 2012 1.250000000
## 6960 2013 1.666666667
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## 6964 2017 1.333333333
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## 6990 1991 0.142857143
## 6991 1992 0.333333333
## 6992 1993 0.272727273
## 6993 1994 NaN
## 6994 1995 NaN
## 6995 1996 0.863636364
## 6996 1997 NaN
## 6997 1998 1.000000000
## 6998 1999 1.250000000
## 6999 2000 0.634146341
## 7000 2001 0.752475248
## 7001 2002 0.300000000
## 7002 2003 0.634146341
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## 7010 2011 1.000000000
## 7011 2012 NaN
## 7012 2013 1.449541284
## 7013 2014 1.221052632
## 7014 2015 1.413333333
## 7015 2016 1.533980583
## 7016 2017 NaN
## 7017 1966 0.326633166
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## 7041 1990 0.616666667
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## 7043 1992 0.340163934
## 7044 1993 0.275510204
## 7045 1994 NaN
## 7046 1995 NaN
## 7047 1996 0.895287958
## 7048 1997 0.796296296
## 7049 1998 0.826086957
## 7050 1999 NaN
## 7051 2000 0.666666667
## 7052 2001 NaN
## 7053 2002 NaN
## 7054 2003 1.000000000
## 7055 2004 1.000000000
## 7056 2005 1.105263158
## 7057 2006 1.166666667
## 7058 2007 1.312500000
## 7059 2008 1.000000000
## 7060 2009 1.000000000
## 7061 2010 1.000000000
## 7062 2011 NaN
## 7063 2012 NaN
## 7064 2013 NaN
## 7065 2014 NaN
## 7066 2015 NaN
## 7067 2016 NaN
## 7068 2017 NaN
## 7069 1966 0.632373114
## 7070 1967 0.647682119
## 7071 1968 0.583949314
## 7072 1969 0.697183099
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## 7081 1978 1.073333333
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## 7083 1980 1.100997506
## 7084 1981 1.079220779
## 7085 1982 1.154050465
## 7086 1983 0.924895688
## 7087 1984 1.238879736
## 7088 1985 1.463678516
## 7089 1986 0.778846154
## 7090 1987 0.811290323
## 7091 1988 0.935537190
## 7092 1989 1.000000000
## 7093 1990 1.472527473
## 7094 1991 0.546494993
## 7095 1992 1.217987805
## 7096 1993 1.506531205
## 7097 1994 NaN
## 7098 1995 NaN
## 7099 1996 1.361516035
## 7100 1997 1.561643836
## 7101 1998 1.416342412
## 7102 1999 1.686170213
## 7103 2000 1.150093809
## 7104 2001 1.100970874
## 7105 2002 1.596899225
## 7106 2003 1.407103825
## 7107 2004 1.579335793
## 7108 2005 1.388888889
## 7109 2006 1.244000000
## 7110 2007 1.396501458
## 7111 2008 1.348901099
## 7112 2009 1.331932773
## 7113 2010 1.238095238
## 7114 2011 1.253918495
## 7115 2012 1.792035398
## 7116 2013 1.662447257
## 7117 2014 1.353632479
## 7118 2015 1.510214505
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## 7120 2017 1.833580247
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## 7145 1990 0.179640719
## 7146 1991 0.194139194
## 7147 1992 0.342723005
## 7148 1993 0.273542601
## 7149 1994 NaN
## 7150 1995 NaN
## 7151 1996 NaN
## 7152 1997 NaN
## 7153 1998 NaN
## 7154 1999 NaN
## 7155 2000 0.615384615
## 7156 2001 0.750000000
## 7157 2002 0.826086957
## 7158 2003 NaN
## 7159 2004 NaN
## 7160 2005 NaN
## 7161 2006 1.120000000
## 7162 2007 1.341772152
## 7163 2008 1.261904762
## 7164 2009 0.990384615
## 7165 2010 1.074074074
## 7166 2011 0.979166667
## 7167 2012 NaN
## 7168 2013 1.443110898
## 7169 2014 1.215686275
## 7170 2015 1.414285714
## 7171 2016 1.545454545
## 7172 2017 1.500000000
## 7173 1966 0.205357143
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## 7187 1980 0.012658228
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## 7192 1985 0.015189873
## 7193 1986 0.047095761
## 7194 1987 0.015573770
## 7195 1988 0.189655172
## 7196 1989 0.206521739
## 7197 1990 NaN
## 7198 1991 0.052873779
## 7199 1992 0.309945901
## 7200 1993 0.014468713
## 7201 1994 0.311812530
## 7202 1995 0.065837321
## 7203 1996 0.439219166
## 7204 1997 0.326848616
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## 7210 2003 0.583024220
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## 7219 2012 0.776461880
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## 7222 2015 0.306815096
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## 7246 1987 0.000000000
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## 7250 1991 0.408749146
## 7251 1992 0.612584824
## 7252 1993 0.227802038
## 7253 1994 0.849868766
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## 7263 2004 0.507315413
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## 7268 2009 0.340263340
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## 7271 2012 0.728230337
## 7272 2013 0.844129555
## 7273 2014 0.901261261
## 7274 2015 0.862288136
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## 7276 2017 0.683922559
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## 7280 1969 0.333333333
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## 7287 1976 0.400000000
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## 7289 1978 0.800000000
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## 7296 1985 0.072463768
## 7297 1986 0.490196078
## 7298 1987 0.296296296
## 7299 1988 1.469387755
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## 7301 1990 1.297142857
## 7302 1991 0.432653061
## 7303 1992 0.837378641
## 7304 1993 0.242857143
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## 7308 1997 0.479532164
## 7309 1998 0.285714286
## 7310 1999 0.306930693
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## 7312 2001 0.410000000
## 7313 2002 0.125000000
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## 7315 2004 0.457142857
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## 7317 2006 0.631578947
## 7318 2007 0.583333333
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## 7320 2009 0.785714286
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## 7322 2011 0.720930233
## 7323 2012 0.617647059
## 7324 2013 0.611111111
## 7325 2014 0.760000000
## 7326 2015 0.500000000
## 7327 2016 0.606060606
## 7328 2017 0.586206897
## 7329 1966 0.066666667
## 7330 1967 0.250000000
## 7331 1968 0.052631579
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## 7341 1978 0.250000000
## 7342 1979 0.000000000
## 7343 1980 0.000000000
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## 7345 1982 0.333333333
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## 7349 1986 0.225806452
## 7350 1987 0.250000000
## 7351 1988 0.562500000
## 7352 1989 0.379310345
## 7353 1990 0.558510638
## 7354 1991 0.219512195
## 7355 1992 0.531707317
## 7356 1993 0.244897959
## 7357 1994 0.405797101
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## 7360 1997 0.475524476
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## 7363 2000 0.201438849
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## 7372 2009 0.000000000
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## 7375 2012 0.141403866
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## 7377 2014 0.729678639
## 7378 2015 0.159395973
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## 7380 2017 0.131284916
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## 7391 1976 0.373134328
## 7392 1977 0.100000000
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## 7394 1979 0.742857143
## 7395 1980 0.722222222
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## 7398 1983 0.533742331
## 7399 1984 0.925742574
## 7400 1985 0.651685393
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## 7402 1987 0.246575342
## 7403 1988 0.678571429
## 7404 1989 0.733333333
## 7405 1990 0.606527319
## 7406 1991 0.431830239
## 7407 1992 0.834392207
## 7408 1993 0.327040816
## 7409 1994 0.546132972
## 7410 1995 0.441889632
## 7411 1996 0.583254494
## 7412 1997 0.713492991
## 7413 1998 0.659170956
## 7414 1999 0.795396419
## 7415 2000 0.958901237
## 7416 2001 0.548641975
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## 7418 2003 0.703296703
## 7419 2004 0.487106017
## 7420 2005 0.564229249
## 7421 2006 0.621840815
## 7422 2007 0.785207894
## 7423 2008 0.673841834
## 7424 2009 0.552047361
## 7425 2010 0.622157540
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## 7427 2012 0.739939333
## 7428 2013 0.889740315
## 7429 2014 1.080534022
## 7430 2015 1.108060055
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## 7459 1992 0.479859335
## 7460 1993 0.022946860
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## 7480 2013 0.883439298
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## 7482 2015 0.280603949
## 7483 2016 0.786267996
## 7484 2017 1.000495663
## 7485 1966 0.125000000
## 7486 1967 0.100000000
## 7487 1968 NaN
## 7488 1969 NaN
## 7489 1970 0.500000000
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## 7494 1975 0.500000000
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## 7501 1982 0.400000000
## 7502 1983 0.625000000
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## 7505 1986 0.333333333
## 7506 1987 0.200000000
## 7507 1988 0.500000000
## 7508 1989 0.400000000
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## 7511 1992 0.530546624
## 7512 1993 0.243362832
## 7513 1994 0.403162055
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## 7520 2001 0.416666667
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## 7522 2003 0.715000000
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## 7530 2011 0.734939759
## 7531 2012 0.636363636
## 7532 2013 0.631578947
## 7533 2014 0.758620690
## 7534 2015 0.555555556
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## 7536 2017 0.585365854
## 7537 1966 0.192982456
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## 7556 1985 0.800000000
## 7557 1986 0.353424658
## 7558 1987 0.130841121
## 7559 1988 0.853658537
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## 7561 1990 0.786743516
## 7562 1991 0.229783473
## 7563 1992 0.651001226
## 7564 1993 0.707343413
## 7565 1994 0.479150275
## 7566 1995 0.341918295
## 7567 1996 0.523144747
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## 7570 1999 1.115942029
## 7571 2000 0.495341615
## 7572 2001 0.661129568
## 7573 2002 0.071794872
## 7574 2003 1.471598415
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## 7578 2007 1.028673835
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## 7580 2009 0.121019108
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## 7582 2011 0.785714286
## 7583 2012 1.000000000
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## 7585 2014 0.714285714
## 7586 2015 0.500000000
## 7587 2016 0.588235294
## 7588 2017 0.600000000
## 7589 1966 0.431034483
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## 7603 1980 0.801680672
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## 7605 1982 0.500000000
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## 7608 1985 0.753462604
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## 7610 1987 0.325520833
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## 7613 1990 0.461288416
## 7614 1991 0.236491778
## 7615 1992 0.841240876
## 7616 1993 0.617987533
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## 7621 1998 0.663888889
## 7622 1999 0.711509716
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## 7635 2012 1.059961315
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## 7637 2014 1.314368370
## 7638 2015 1.141348497
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## 7640 2017 1.082520630
## 7641 1966 0.250000000
## 7642 1967 0.000000000
## 7643 1968 0.000000000
## 7644 1969 0.000000000
## 7645 1970 NaN
## 7646 1971 NaN
## 7647 1972 NaN
## 7648 1973 NaN
## 7649 1974 NaN
## 7650 1975 0.000000000
## 7651 1976 0.000000000
## 7652 1977 0.500000000
## 7653 1978 0.500000000
## 7654 1979 0.000000000
## 7655 1980 NaN
## 7656 1981 0.000000000
## 7657 1982 NaN
## 7658 1983 NaN
## 7659 1984 0.000000000
## 7660 1985 NaN
## 7661 1986 NaN
## 7662 1987 NaN
## 7663 1988 NaN
## 7664 1989 NaN
## 7665 1990 0.000000000
## 7666 1991 0.000000000
## 7667 1992 NaN
## 7668 1993 NaN
## 7669 1994 NaN
## 7670 1995 0.333333333
## 7671 1996 1.000000000
## 7672 1997 1.000000000
## 7673 1998 0.000000000
## 7674 1999 NaN
## 7675 2000 0.200000000
## 7676 2001 0.000000000
## 7677 2002 0.000000000
## 7678 2003 NaN
## 7679 2004 NaN
## 7680 2005 NaN
## 7681 2006 NaN
## 7682 2007 NaN
## 7683 2008 0.000000000
## 7684 2009 0.000000000
## 7685 2010 NaN
## 7686 2011 NaN
## 7687 2012 0.666666667
## 7688 2013 0.666666667
## 7689 2014 NaN
## 7690 2015 NaN
## 7691 2016 NaN
## 7692 2017 NaN
## 7693 1966 0.357142857
## 7694 1967 0.478260870
## 7695 1968 0.428571429
## 7696 1969 0.333333333
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## 7719 1992 0.528384279
## 7720 1993 0.242290749
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## 7722 1995 0.233766234
## 7723 1996 0.468503937
## 7724 1997 0.472602740
## 7725 1998 0.285714286
## 7726 1999 0.308411215
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## 7728 2001 0.418367347
## 7729 2002 0.132075472
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## 7732 2005 0.287500000
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## 7736 2009 0.142857143
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## 7738 2011 0.745454545
## 7739 2012 0.615384615
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## 7741 2014 0.750000000
## 7742 2015 0.560000000
## 7743 2016 0.600000000
## 7744 2017 0.565217391
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## 7746 1967 0.035087719
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## 7759 1980 0.363636364
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## 7761 1982 0.400000000
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## 7765 1986 0.250000000
## 7766 1987 0.200000000
## 7767 1988 0.600000000
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## 7771 1992 0.532467532
## 7772 1993 0.237288136
## 7773 1994 0.404761905
## 7774 1995 0.233333333
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## 7776 1997 0.479166667
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## 7781 2002 0.000000000
## 7782 2003 0.750000000
## 7783 2004 0.444444444
## 7784 2005 0.272727273
## 7785 2006 0.500000000
## 7786 2007 NaN
## 7787 2008 0.666666667
## 7788 2009 0.150943396
## 7789 2010 NaN
## 7790 2011 1.000000000
## 7791 2012 0.666666667
## 7792 2013 0.615384615
## 7793 2014 0.714285714
## 7794 2015 0.550000000
## 7795 2016 0.583333333
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## 7807 1976 0.302238806
## 7808 1977 0.026666667
## 7809 1978 0.397810219
## 7810 1979 0.061855670
## 7811 1980 0.061855670
## 7812 1981 0.076923077
## 7813 1982 0.166666667
## 7814 1983 0.163522013
## 7815 1984 0.152103560
## 7816 1985 0.026809651
## 7817 1986 0.242990654
## 7818 1987 0.016666667
## 7819 1988 0.392617450
## 7820 1989 0.219298246
## 7821 1990 0.254172989
## 7822 1991 0.176786313
## 7823 1992 0.302876481
## 7824 1993 0.193535188
## 7825 1994 0.844679445
## 7826 1995 0.138161274
## 7827 1996 0.585193452
## 7828 1997 0.394379391
## 7829 1998 0.206293706
## 7830 1999 0.098748261
## 7831 2000 0.073266037
## 7832 2001 0.295808067
## 7833 2002 0.057142857
## 7834 2003 0.933159516
## 7835 2004 0.477466120
## 7836 2005 0.225102669
## 7837 2006 0.350880872
## 7838 2007 0.657775021
## 7839 2008 0.907474834
## 7840 2009 0.142948445
## 7841 2010 0.620718816
## 7842 2011 0.648228713
## 7843 2012 0.594835536
## 7844 2013 1.045429815
## 7845 2014 0.646931720
## 7846 2015 0.486660929
## 7847 2016 0.642569329
## 7848 2017 0.430686406
## 7849 1966 0.058823529
## 7850 1967 0.114285714
## 7851 1968 0.000000000
## 7852 1969 NaN
## 7853 1970 0.333333333
## 7854 1971 0.100000000
## 7855 1972 0.071428571
## 7856 1973 0.333333333
## 7857 1974 0.000000000
## 7858 1975 0.166666667
## 7859 1976 0.250000000
## 7860 1977 0.263157895
## 7861 1978 0.227272727
## 7862 1979 0.071428571
## 7863 1980 0.035714286
## 7864 1981 0.407407407
## 7865 1982 0.400000000
## 7866 1983 0.590909091
## 7867 1984 0.500000000
## 7868 1985 0.380952381
## 7869 1986 0.250000000
## 7870 1987 NaN
## 7871 1988 0.500000000
## 7872 1989 0.411764706
## 7873 1990 0.555102041
## 7874 1991 0.223214286
## 7875 1992 0.531914894
## 7876 1993 0.243119266
## 7877 1994 0.402945114
## 7878 1995 0.234375000
## 7879 1996 0.468390805
## 7880 1997 0.475308642
## 7881 1998 0.289855072
## 7882 1999 0.310975610
## 7883 2000 0.199324324
## 7884 2001 0.412060302
## 7885 2002 0.000000000
## 7886 2003 0.715277778
## 7887 2004 0.463235294
## 7888 2005 0.285714286
## 7889 2006 0.435139573
## 7890 2007 0.528712871
## 7891 2008 0.036065574
## 7892 2009 0.000000000
## 7893 2010 0.709803922
## 7894 2011 0.740963855
## 7895 2012 0.141274238
## 7896 2013 0.087155963
## 7897 2014 0.062827225
## 7898 2015 0.515527950
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## 7900 2017 0.181818182
## 7901 1966 0.200000000
## 7902 1967 0.200000000
## 7903 1968 0.714285714
## 7904 1969 0.000000000
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## 7906 1971 0.333333333
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## 7908 1973 0.176470588
## 7909 1974 0.000000000
## 7910 1975 0.250000000
## 7911 1976 0.250000000
## 7912 1977 0.285714286
## 7913 1978 0.208333333
## 7914 1979 0.085714286
## 7915 1980 0.000000000
## 7916 1981 0.454545455
## 7917 1982 0.500000000
## 7918 1983 0.583333333
## 7919 1984 0.478260870
## 7920 1985 0.388888889
## 7921 1986 0.230769231
## 7922 1987 0.222222222
## 7923 1988 0.500000000
## 7924 1989 0.400000000
## 7925 1990 0.565000000
## 7926 1991 0.224242424
## 7927 1992 0.540785498
## 7928 1993 0.245847176
## 7929 1994 0.405844156
## 7930 1995 0.239436620
## 7931 1996 0.466442953
## 7932 1997 0.475438596
## 7933 1998 0.296052632
## 7934 1999 0.313186813
## 7935 2000 0.200000000
## 7936 2001 0.414736842
## 7937 2002 0.128787879
## 7938 2003 0.713302752
## 7939 2004 0.464419476
## 7940 2005 0.287640449
## 7941 2006 0.461290323
## 7942 2007 0.564102564
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## 7944 2009 0.001466276
## 7945 2010 0.679530201
## 7946 2011 0.835714286
## 7947 2012 0.762222222
## 7948 2013 0.346590909
## 7949 2014 0.696378830
## 7950 2015 0.294392523
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## 7952 2017 0.246220302
## 7953 1966 0.558139535
## 7954 1967 0.690647482
## 7955 1968 0.410509031
## 7956 1969 0.676258993
## 7957 1970 0.584000000
## 7958 1971 0.423423423
## 7959 1972 0.532846715
## 7960 1973 0.375000000
## 7961 1974 0.727272727
## 7962 1975 0.352099237
## 7963 1976 0.559577677
## 7964 1977 0.541666667
## 7965 1978 0.484147386
## 7966 1979 0.547585227
## 7967 1980 0.547585227
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## 7969 1982 0.386792453
## 7970 1983 0.903122498
## 7971 1984 0.504596527
## 7972 1985 0.666666667
## 7973 1986 0.350000000
## 7974 1987 0.685004437
## 7975 1988 0.478042660
## 7976 1989 0.479512735
## 7977 1990 0.494961758
## 7978 1991 0.371342943
## 7979 1992 0.789783601
## 7980 1993 0.618699644
## 7981 1994 0.476632960
## 7982 1995 0.661866359
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## 7984 1997 0.734213785
## 7985 1998 0.865030675
## 7986 1999 0.740075614
## 7987 2000 0.418677859
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## 7989 2002 0.509922347
## 7990 2003 1.985495348
## 7991 2004 1.369525547
## 7992 2005 0.976130653
## 7993 2006 1.173149310
## 7994 2007 1.467094703
## 7995 2008 1.233820459
## 7996 2009 1.423326134
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## 7998 2011 1.449197861
## 7999 2012 1.388059701
## 8000 2013 1.178571429
## 8001 2014 1.014388489
## 8002 2015 1.333333333
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## 8004 2017 0.587301587
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## 8012 1973 0.400000000
## 8013 1974 0.200000000
## 8014 1975 0.000000000
## 8015 1976 0.000000000
## 8016 1977 NaN
## 8017 1978 0.500000000
## 8018 1979 0.000000000
## 8019 1980 NaN
## 8020 1981 0.000000000
## 8021 1982 1.000000000
## 8022 1983 1.000000000
## 8023 1984 0.454545455
## 8024 1985 0.428571429
## 8025 1986 0.333333333
## 8026 1987 0.000000000
## 8027 1988 NaN
## 8028 1989 NaN
## 8029 1990 1.000000000
## 8030 1991 0.500000000
## 8031 1992 0.000000000
## 8032 1993 0.500000000
## 8033 1994 0.388888889
## 8034 1995 0.250000000
## 8035 1996 0.485714286
## 8036 1997 0.000000000
## 8037 1998 NaN
## 8038 1999 0.000000000
## 8039 2000 0.000000000
## 8040 2001 NaN
## 8041 2002 0.000000000
## 8042 2003 0.000000000
## 8043 2004 0.333333333
## 8044 2005 0.000000000
## 8045 2006 1.000000000
## 8046 2007 1.000000000
## 8047 2008 0.500000000
## 8048 2009 NaN
## 8049 2010 1.000000000
## 8050 2011 NaN
## 8051 2012 NaN
## 8052 2013 NaN
## 8053 2014 NaN
## 8054 2015 NaN
## 8055 2016 NaN
## 8056 2017 NaN
## 8057 1966 0.007874016
## 8058 1967 0.086956522
## 8059 1968 0.000000000
## 8060 1969 0.250000000
## 8061 1970 0.285714286
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## 8070 1979 0.142857143
## 8071 1980 0.016129032
## 8072 1981 0.000000000
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## 8074 1983 0.092592593
## 8075 1984 0.191489362
## 8076 1985 0.000000000
## 8077 1986 0.000000000
## 8078 1987 0.031746032
## 8079 1988 0.062801932
## 8080 1989 0.161290323
## 8081 1990 0.415390505
## 8082 1991 0.080813347
## 8083 1992 0.368119266
## 8084 1993 0.051486906
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## 8086 1995 0.030229326
## 8087 1996 0.444683136
## 8088 1997 0.452309237
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## 8091 2000 0.001393728
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## 8093 2002 0.272300469
## 8094 2003 0.758328286
## 8095 2004 0.535495879
## 8096 2005 0.161955241
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## 8100 2009 0.006182883
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## 8102 2011 0.637234043
## 8103 2012 0.279244306
## 8104 2013 0.280781759
## 8105 2014 0.822460391
## 8106 2015 0.623936367
## 8107 2016 0.470429503
## 8108 2017 0.580748043
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## 8110 1967 0.605381166
## 8111 1968 0.430367505
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## 8118 1975 0.391794047
## 8119 1976 0.635993011
## 8120 1977 0.676944639
## 8121 1978 0.476708075
## 8122 1979 0.588869960
## 8123 1980 0.588869960
## 8124 1981 0.856199187
## 8125 1982 0.793103448
## 8126 1983 0.981960313
## 8127 1984 0.968031968
## 8128 1985 0.895957588
## 8129 1986 0.639112903
## 8130 1987 0.685337727
## 8131 1988 1.084235860
## 8132 1989 0.657945736
## 8133 1990 1.082238721
## 8134 1991 0.569230769
## 8135 1992 1.205491365
## 8136 1993 0.872340426
## 8137 1994 0.610082598
## 8138 1995 0.891705704
## 8139 1996 0.846809610
## 8140 1997 1.105691057
## 8141 1998 1.132800000
## 8142 1999 1.150211993
## 8143 2000 0.558052434
## 8144 2001 1.020433695
## 8145 2002 0.515489467
## 8146 2003 1.002634352
## 8147 2004 1.700883002
## 8148 2005 1.127290260
## 8149 2006 1.069144339
## 8150 2007 1.408411215
## 8151 2008 1.206286837
## 8152 2009 1.270467836
## 8153 2010 0.941580756
## 8154 2011 1.031250000
## 8155 2012 1.085714286
## 8156 2013 1.160000000
## 8157 2014 1.066666667
## 8158 2015 0.889447236
## 8159 2016 1.316417910
## 8160 2017 1.154411765
## 8161 1966 0.079365079
## 8162 1967 0.160493827
## 8163 1968 0.160161507
## 8164 1969 0.026666667
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## 8168 1973 0.205128205
## 8169 1974 0.075000000
## 8170 1975 0.247311828
## 8171 1976 0.279569892
## 8172 1977 0.252446184
## 8173 1978 0.219315895
## 8174 1979 0.066398390
## 8175 1980 0.058350101
## 8176 1981 0.032534247
## 8177 1982 0.085106383
## 8178 1983 0.324808184
## 8179 1984 0.347962382
## 8180 1985 0.059743954
## 8181 1986 0.042725173
## 8182 1987 0.000000000
## 8183 1988 0.222826087
## 8184 1989 0.426229508
## 8185 1990 0.589131330
## 8186 1991 0.258649399
## 8187 1992 0.536431440
## 8188 1993 0.208229143
## 8189 1994 0.323215049
## 8190 1995 0.150293871
## 8191 1996 0.619486375
## 8192 1997 0.452372583
## 8193 1998 0.153082017
## 8194 1999 0.267802450
## 8195 2000 0.163846588
## 8196 2001 0.259683996
## 8197 2002 0.134158927
## 8198 2003 0.449271659
## 8199 2004 0.428386540
## 8200 2005 0.340326340
## 8201 2006 0.412902026
## 8202 2007 0.834621329
## 8203 2008 0.829090909
## 8204 2009 0.073275060
## 8205 2010 1.043312388
## 8206 2011 1.044272136
## 8207 2012 0.176658673
## 8208 2013 0.516826923
## 8209 2014 0.871697727
## 8210 2015 0.720974984
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## 8212 2017 0.496031746
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## 8225 1978 0.281250000
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## 8227 1980 0.019774011
## 8228 1981 0.005504587
## 8229 1982 0.063492063
## 8230 1983 0.361497326
## 8231 1984 0.217518248
## 8232 1985 0.018143010
## 8233 1986 0.017918089
## 8234 1987 0.248234107
## 8235 1988 0.229455710
## 8236 1989 0.230386052
## 8237 1990 0.305602548
## 8238 1991 0.128198330
## 8239 1992 0.200045362
## 8240 1993 0.029100246
## 8241 1994 0.173702868
## 8242 1995 0.021209484
## 8243 1996 0.215690333
## 8244 1997 0.206096106
## 8245 1998 0.006463836
## 8246 1999 0.021503174
## 8247 2000 0.009074868
## 8248 2001 0.312134788
## 8249 2002 0.040494268
## 8250 2003 0.523757904
## 8251 2004 0.418458311
## 8252 2005 0.121345458
## 8253 2006 0.515123400
## 8254 2007 0.465229485
## 8255 2008 0.349863925
## 8256 2009 0.007444169
## 8257 2010 0.619587629
## 8258 2011 0.618750600
## 8259 2012 0.570263910
## 8260 2013 0.496391498
## 8261 2014 0.632731605
## 8262 2015 0.506895842
## 8263 2016 0.584581924
## 8264 2017 0.313145809
## 8265 1966 0.595505618
## 8266 1967 0.214285714
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## 8271 1972 0.500000000
## 8272 1973 0.563380282
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## 8274 1975 0.336820084
## 8275 1976 0.607242340
## 8276 1977 0.481236203
## 8277 1978 0.506430868
## 8278 1979 0.356679637
## 8279 1980 0.356679637
## 8280 1981 0.412173913
## 8281 1982 0.727272727
## 8282 1983 0.745098039
## 8283 1984 0.806949807
## 8284 1985 0.423192771
## 8285 1986 0.534223706
## 8286 1987 0.195121951
## 8287 1988 0.771384137
## 8288 1989 0.392251816
## 8289 1990 1.109189882
## 8290 1991 0.165893271
## 8291 1992 0.713495935
## 8292 1993 0.427220179
## 8293 1994 0.554515419
## 8294 1995 0.722065064
## 8295 1996 0.772701314
## 8296 1997 0.744230769
## 8297 1998 0.844324324
## 8298 1999 0.948076923
## 8299 2000 0.459615385
## 8300 2001 0.614355231
## 8301 2002 0.146984925
## 8302 2003 1.175159236
## 8303 2004 1.123674912
## 8304 2005 1.020895522
## 8305 2006 1.170329670
## 8306 2007 1.784905660
## 8307 2008 1.621794872
## 8308 2009 1.531645570
## 8309 2010 0.698689956
## 8310 2011 1.433333333
## 8311 2012 1.701030928
## 8312 2013 0.612903226
## 8313 2014 0.757575758
## 8314 2015 0.538461538
## 8315 2016 0.603448276
## 8316 2017 0.586538462
## 8317 1966 0.333333333
## 8318 1967 0.242424242
## 8319 1968 0.333333333
## 8320 1969 0.400000000
## 8321 1970 NaN
## 8322 1971 NaN
## 8323 1972 NaN
## 8324 1973 NaN
## 8325 1974 NaN
## 8326 1975 0.000000000
## 8327 1976 0.000000000
## 8328 1977 NaN
## 8329 1978 0.000000000
## 8330 1979 0.000000000
## 8331 1980 NaN
## 8332 1981 0.000000000
## 8333 1982 1.000000000
## 8334 1983 0.666666667
## 8335 1984 1.000000000
## 8336 1985 0.000000000
## 8337 1986 0.000000000
## 8338 1987 0.000000000
## 8339 1988 1.000000000
## 8340 1989 NaN
## 8341 1990 0.600000000
## 8342 1991 0.000000000
## 8343 1992 0.000000000
## 8344 1993 0.333333333
## 8345 1994 0.000000000
## 8346 1995 0.000000000
## 8347 1996 0.461538462
## 8348 1997 0.333333333
## 8349 1998 0.333333333
## 8350 1999 0.333333333
## 8351 2000 0.000000000
## 8352 2001 1.000000000
## 8353 2002 0.000000000
## 8354 2003 1.000000000
## 8355 2004 0.666666667
## 8356 2005 NaN
## 8357 2006 NaN
## 8358 2007 1.000000000
## 8359 2008 0.000000000
## 8360 2009 0.250000000
## 8361 2010 0.500000000
## 8362 2011 1.000000000
## 8363 2012 1.000000000
## 8364 2013 1.000000000
## 8365 2014 1.000000000
## 8366 2015 1.000000000
## 8367 2016 NaN
## 8368 2017 NaN
## 8369 1966 0.060000000
## 8370 1967 0.111111111
## 8371 1968 0.074074074
## 8372 1969 0.500000000
## 8373 1970 0.500000000
## 8374 1971 0.250000000
## 8375 1972 0.044444444
## 8376 1973 0.250000000
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## 8379 1976 0.272727273
## 8380 1977 0.272727273
## 8381 1978 0.200000000
## 8382 1979 0.068181818
## 8383 1980 0.042553191
## 8384 1981 0.413043478
## 8385 1982 0.400000000
## 8386 1983 0.602941176
## 8387 1984 0.492307692
## 8388 1985 0.385964912
## 8389 1986 0.241379310
## 8390 1987 0.250000000
## 8391 1988 0.523809524
## 8392 1989 0.405405405
## 8393 1990 0.556756757
## 8394 1991 0.243902439
## 8395 1992 0.531976744
## 8396 1993 0.244239631
## 8397 1994 0.401812689
## 8398 1995 0.235033259
## 8399 1996 0.467005076
## 8400 1997 0.476038339
## 8401 1998 0.287985866
## 8402 1999 0.311023622
## 8403 2000 0.199306759
## 8404 2001 0.413642961
## 8405 2002 0.233009709
## 8406 2003 1.066489362
## 8407 2004 0.494773519
## 8408 2005 0.611683849
## 8409 2006 0.426865672
## 8410 2007 Inf
## 8411 2008 0.507552870
## 8412 2009 0.204903678
## 8413 2010 0.701067616
## 8414 2011 0.532038835
## 8415 2012 1.018421053
## 8416 2013 0.497890295
## 8417 2014 0.757377049
## 8418 2015 0.979768786
## 8419 2016 0.168539326
## 8420 2017 0.000000000
## 8421 1966 0.204225352
## 8422 1967 0.347826087
## 8423 1968 0.032867707
## 8424 1969 0.291044776
## 8425 1970 0.356060606
## 8426 1971 0.168067227
## 8427 1972 0.156250000
## 8428 1973 0.203007519
## 8429 1974 0.121495327
## 8430 1975 0.100169779
## 8431 1976 0.288431062
## 8432 1977 0.136546185
## 8433 1978 0.311413454
## 8434 1979 0.075020610
## 8435 1980 0.066290550
## 8436 1981 0.364327980
## 8437 1982 0.218309859
## 8438 1983 0.346368715
## 8439 1984 0.219648562
## 8440 1985 0.240982348
## 8441 1986 0.185294118
## 8442 1987 0.000000000
## 8443 1988 0.358889623
## 8444 1989 0.114583333
## 8445 1990 0.276741614
## 8446 1991 0.064234893
## 8447 1992 0.254284472
## 8448 1993 0.107196779
## 8449 1994 0.245746869
## 8450 1995 0.140363815
## 8451 1996 0.268378063
## 8452 1997 0.370789192
## 8453 1998 0.365238286
## 8454 1999 0.232896652
## 8455 2000 0.044483101
## 8456 2001 0.133514596
## 8457 2002 0.039468691
## 8458 2003 0.538368702
## 8459 2004 0.366995074
## 8460 2005 0.376139323
## 8461 2006 0.292330951
## 8462 2007 0.572857496
## 8463 2008 0.453600000
## 8464 2009 0.309188381
## 8465 2010 0.570638821
## 8466 2011 0.448171957
## 8467 2012 0.570768922
## 8468 2013 0.283902783
## 8469 2014 0.675111197
## 8470 2015 0.464027595
## 8471 2016 0.433031381
## 8472 2017 0.507915316
## 8473 1966 0.187500000
## 8474 1967 0.450000000
## 8475 1968 0.057142857
## 8476 1969 0.346153846
## 8477 1970 0.363636364
## 8478 1971 0.272727273
## 8479 1972 0.095238095
## 8480 1973 0.130434783
## 8481 1974 0.066666667
## 8482 1975 0.542857143
## 8483 1976 0.159663866
## 8484 1977 0.426229508
## 8485 1978 0.614678899
## 8486 1979 0.155737705
## 8487 1980 0.427631579
## 8488 1981 0.351515152
## 8489 1982 0.383333333
## 8490 1983 0.703056769
## 8491 1984 0.465408805
## 8492 1985 0.294444444
## 8493 1986 0.319047619
## 8494 1987 0.228346457
## 8495 1988 0.628318584
## 8496 1989 0.952789700
## 8497 1990 0.610550459
## 8498 1991 0.210554090
## 8499 1992 0.590542099
## 8500 1993 0.197223829
## 8501 1994 0.479974969
## 8502 1995 0.239789196
## 8503 1996 0.556908095
## 8504 1997 0.656016315
## 8505 1998 0.448818898
## 8506 1999 0.284510693
## 8507 2000 0.141995614
## 8508 2001 0.678186969
## 8509 2002 0.270384008
## 8510 2003 0.891079812
## 8511 2004 0.733060482
## 8512 2005 0.798524404
## 8513 2006 1.155693261
## 8514 2007 1.209553159
## 8515 2008 1.078149920
## 8516 2009 0.491735537
## 8517 2010 1.037783375
## 8518 2011 1.024595924
## 8519 2012 1.510969568
## 8520 2013 1.256569848
## 8521 2014 1.346952909
## 8522 2015 0.687432286
## 8523 2016 0.837588267
## 8524 2017 1.382222222
## 8525 1966 0.500000000
## 8526 1967 0.000000000
## 8527 1968 0.333333333
## 8528 1969 0.333333333
## 8529 1970 1.000000000
## 8530 1971 1.000000000
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## 8577 1966 0.000000000
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## 8681 1966 1.000000000
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## 8814 1995 0.833333333
## 8815 1996 0.000000000
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## 8837 1966 1.153846154
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## 8888 2017 NaN
## 8889 1966 1.000000000
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## 8918 1995 0.780701754
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## 8939 2016 NaN
## 8940 2017 NaN
## 8941 1966 3.000000000
## 8942 1967 1.428571429
## 8943 1968 1.000000000
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## 8962 1987 NaN
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## 8968 1993 1.000000000
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## 8991 2016 NaN
## 8992 2017 NaN
## 8993 1966 0.571428571
## 8994 1967 0.769230769
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## 9044 2017 NaN
## 9045 1966 0.400000000
## 9046 1967 1.000000000
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## 9071 1992 0.000000000
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## 9096 2017 NaN
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## 9147 2016 NaN
## 9148 2017 NaN
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## 9248 2013 NaN
## 9249 2014 NaN
## 9250 2015 NaN
## 9251 2016 NaN
## 9252 2017 NaN
## 9253 1966 0.090909091
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## 9320 1981 NaN
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## 9322 1983 NaN
## 9323 1984 NaN
## 9324 1985 NaN
## 9325 1986 NaN
## 9326 1987 NaN
## 9327 1988 NaN
## 9328 1989 NaN
## 9329 1990 0.000000000
## 9330 1991 0.000000000
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## 9332 1993 NaN
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## 9340 2001 NaN
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## 9344 2005 NaN
## 9345 2006 NaN
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## 9348 2009 NaN
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## 9350 2011 NaN
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## 9352 2013 NaN
## 9353 2014 NaN
## 9354 2015 NaN
## 9355 2016 NaN
## 9356 2017 NaN
## 9357 1966 0.167785235
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## 9403 2012 0.000000000
## 9404 2013 NaN
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## 9407 2016 NaN
## 9408 2017 NaN
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## 9440 1997 0.207858222
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## 9455 2012 0.496213110
## 9456 2013 0.554156832
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## 9459 2016 NaN
## 9460 2017 NaN
## 9461 1966 0.000000000
## 9462 1967 0.250000000
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## 9484 1989 NaN
## 9485 1990 1.000000000
## 9486 1991 0.426086957
## 9487 1992 0.644230769
## 9488 1993 NaN
## 9489 1994 NaN
## 9490 1995 NaN
## 9491 1996 NaN
## 9492 1997 0.000000000
## 9493 1998 0.000000000
## 9494 1999 0.000000000
## 9495 2000 NaN
## 9496 2001 NaN
## 9497 2002 NaN
## 9498 2003 NaN
## 9499 2004 NaN
## 9500 2005 NaN
## 9501 2006 NaN
## 9502 2007 NaN
## 9503 2008 NaN
## 9504 2009 NaN
## 9505 2010 NaN
## 9506 2011 NaN
## 9507 2012 NaN
## 9508 2013 NaN
## 9509 2014 NaN
## 9510 2015 0.000000000
## 9511 2016 NaN
## 9512 2017 NaN
## 9513 1966 0.333333333
## 9514 1967 0.333333333
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## 9516 1969 0.166666667
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## 9530 1983 0.000000000
## 9531 1984 1.000000000
## 9532 1985 1.000000000
## 9533 1986 0.000000000
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## 9535 1988 NaN
## 9536 1989 NaN
## 9537 1990 0.750000000
## 9538 1991 1.000000000
## 9539 1992 0.000000000
## 9540 1993 NaN
## 9541 1994 NaN
## 9542 1995 NaN
## 9543 1996 1.000000000
## 9544 1997 NaN
## 9545 1998 NaN
## 9546 1999 0.000000000
## 9547 2000 NaN
## 9548 2001 1.000000000
## 9549 2002 NaN
## 9550 2003 NaN
## 9551 2004 NaN
## 9552 2005 NaN
## 9553 2006 NaN
## 9554 2007 NaN
## 9555 2008 NaN
## 9556 2009 NaN
## 9557 2010 NaN
## 9558 2011 NaN
## 9559 2012 NaN
## 9560 2013 NaN
## 9561 2014 NaN
## 9562 2015 NaN
## 9563 2016 NaN
## 9564 2017 NaN
## 9565 1966 0.083333333
## 9566 1967 0.065217391
## 9567 1968 0.000000000
## 9568 1969 0.240000000
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## 9581 1982 0.333333333
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## 9583 1984 0.826086957
## 9584 1985 0.416666667
## 9585 1986 0.500000000
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## 9587 1988 0.692307692
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## 9591 1992 0.636363636
## 9592 1993 0.772151899
## 9593 1994 1.081081081
## 9594 1995 0.666666667
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## 9596 1997 0.787234043
## 9597 1998 0.591836735
## 9598 1999 0.757575758
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## 9602 2003 0.859813084
## 9603 2004 0.777777778
## 9604 2005 0.785714286
## 9605 2006 0.846153846
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## 9608 2009 NaN
## 9609 2010 0.000000000
## 9610 2011 1.000000000
## 9611 2012 1.104166667
## 9612 2013 1.000000000
## 9613 2014 NaN
## 9614 2015 0.769230769
## 9615 2016 1.000000000
## 9616 2017 NaN
## 9617 1966 0.129032258
## 9618 1967 0.198529412
## 9619 1968 0.160000000
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## 9628 1977 0.176470588
## 9629 1978 0.019607843
## 9630 1979 0.169811321
## 9631 1980 0.142857143
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## 9633 1982 0.338983051
## 9634 1983 0.204081633
## 9635 1984 0.883720930
## 9636 1985 0.244444444
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## 9655 2004 0.800000000
## 9656 2005 0.857142857
## 9657 2006 0.900000000
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## 9659 2008 NaN
## 9660 2009 NaN
## 9661 2010 0.800000000
## 9662 2011 0.900000000
## 9663 2012 1.200000000
## 9664 2013 0.789473684
## 9665 2014 0.700000000
## 9666 2015 0.767123288
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## 9668 2017 1.000000000
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## 9695 1992 0.610000000
## 9696 1993 0.743902439
## 9697 1994 1.000000000
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## 9700 1997 1.000000000
## 9701 1998 0.000000000
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## 9705 2002 1.000000000
## 9706 2003 1.000000000
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## 9708 2005 1.000000000
## 9709 2006 1.000000000
## 9710 2007 0.666666667
## 9711 2008 NaN
## 9712 2009 NaN
## 9713 2010 NaN
## 9714 2011 NaN
## 9715 2012 NaN
## 9716 2013 1.000000000
## 9717 2014 NaN
## 9718 2015 NaN
## 9719 2016 1.000000000
## 9720 2017 1.000000000
## 9721 1966 0.135849057
## 9722 1967 0.057971014
## 9723 1968 0.198895028
## 9724 1969 0.119170984
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## 9735 1980 0.185185185
## 9736 1981 0.200000000
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## 9738 1983 0.058823529
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## 9742 1987 0.416666667
## 9743 1988 0.666666667
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## 9745 1990 0.537234043
## 9746 1991 0.394736842
## 9747 1992 0.607594937
## 9748 1993 0.746376812
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## 9751 1996 0.551401869
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## 9758 2003 0.833333333
## 9759 2004 1.000000000
## 9760 2005 1.000000000
## 9761 2006 1.000000000
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## 9763 2008 NaN
## 9764 2009 NaN
## 9765 2010 1.000000000
## 9766 2011 1.000000000
## 9767 2012 1.000000000
## 9768 2013 1.000000000
## 9769 2014 2.333333333
## 9770 2015 0.666666667
## 9771 2016 1.000000000
## 9772 2017 1.000000000
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## 9774 1967 0.051724138
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## 9781 1974 0.200000000
## 9782 1975 0.225000000
## 9783 1976 0.120000000
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## 9785 1978 0.147058824
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## 9793 1986 0.500000000
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## 9800 1993 0.750000000
## 9801 1994 0.661764706
## 9802 1995 0.607142857
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## 9804 1997 0.562500000
## 9805 1998 0.368000000
## 9806 1999 0.789855072
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## 9811 2004 0.757575758
## 9812 2005 1.000000000
## 9813 2006 1.000000000
## 9814 2007 0.633333333
## 9815 2008 NaN
## 9816 2009 NaN
## 9817 2010 1.000000000
## 9818 2011 0.900000000
## 9819 2012 1.090909091
## 9820 2013 0.923076923
## 9821 2014 2.444444444
## 9822 2015 1.000000000
## 9823 2016 1.000000000
## 9824 2017 1.000000000
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## 9826 1967 0.174603175
## 9827 1968 0.371681416
## 9828 1969 0.264150943
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## 9848 1989 0.540540541
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## 9851 1992 0.613559322
## 9852 1993 0.751196172
## 9853 1994 0.649350649
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## 9865 2006 1.048387097
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## 9867 2008 NaN
## 9868 2009 NaN
## 9869 2010 0.971428571
## 9870 2011 0.906976744
## 9871 2012 1.073529412
## 9872 2013 0.875000000
## 9873 2014 2.430939227
## 9874 2015 0.750000000
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## 9876 2017 1.000000000
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## 9913 2002 1.000000000
## 9914 2003 0.916666667
## 9915 2004 0.000000000
## 9916 2005 1.000000000
## 9917 2006 NaN
## 9918 2007 NaN
## 9919 2008 NaN
## 9920 2009 NaN
## 9921 2010 1.000000000
## 9922 2011 1.000000000
## 9923 2012 1.000000000
## 9924 2013 1.000000000
## 9925 2014 1.000000000
## 9926 2015 0.833333333
## 9927 2016 NaN
## 9928 2017 1.000000000
## 9929 1966 0.592391304
## 9930 1967 0.673684211
## 9931 1968 0.573684211
## 9932 1969 0.612021858
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## 9940 1977 1.000000000
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## 9942 1979 0.279792746
## 9943 1980 1.000000000
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## 9946 1983 1.231132075
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## 9948 1985 0.870270270
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## 9950 1987 0.736526946
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## 9953 1990 0.938295788
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## 9956 1993 0.801449275
## 9957 1994 0.700920245
## 9958 1995 1.105590062
## 9959 1996 0.927480916
## 9960 1997 0.908333333
## 9961 1998 0.475862069
## 9962 1999 0.624060150
## 9963 2000 0.840909091
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## 9965 2002 0.982456140
## 9966 2003 0.878787879
## 9967 2004 0.768292683
## 9968 2005 1.034482759
## 9969 2006 1.029411765
## 9970 2007 0.650000000
## 9971 2008 NaN
## 9972 2009 NaN
## 9973 2010 0.923076923
## 9974 2011 0.909090909
## 9975 2012 1.166666667
## 9976 2013 0.900000000
## 9977 2014 0.666666667
## 9978 2015 0.750000000
## 9979 2016 1.000000000
## 9980 2017 1.000000000
## 9981 1966 0.325396825
## 9982 1967 0.343750000
## 9983 1968 0.338842975
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## 9990 1975 0.611111111
## 9991 1976 0.542056075
## 9992 1977 0.500000000
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## 9994 1979 0.377551020
## 9995 1980 0.692307692
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## 10000 1985 0.434108527
## 10001 1986 0.622807018
## 10002 1987 0.661538462
## 10003 1988 0.952830189
## 10004 1989 1.187500000
## 10005 1990 0.886705202
## 10006 1991 0.938042131
## 10007 1992 0.826687117
## 10008 1993 0.653032440
## 10009 1994 0.716216216
## 10010 1995 0.837520938
## 10011 1996 0.746376812
## 10012 1997 1.054263566
## 10013 1998 0.475083056
## 10014 1999 0.624615385
## 10015 2000 0.840637450
## 10016 2001 0.758928571
## 10017 2002 0.981250000
## 10018 2003 0.888888889
## 10019 2004 0.770000000
## 10020 2005 1.042857143
## 10021 2006 1.028169014
## 10022 2007 0.625000000
## 10023 2008 NaN
## 10024 2009 NaN
## 10025 2010 0.959183673
## 10026 2011 0.826086957
## 10027 2012 1.000000000
## 10028 2013 0.866666667
## 10029 2014 1.083333333
## 10030 2015 1.000000000
## 10031 2016 1.000000000
## 10032 2017 1.000000000
## 10033 1966 0.333333333
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## 10036 1969 0.430769231
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## 10050 1983 1.219178082
## 10051 1984 1.011976048
## 10052 1985 0.829787234
## 10053 1986 0.880000000
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## 10056 1989 0.761467890
## 10057 1990 0.755148741
## 10058 1991 0.863905325
## 10059 1992 1.052706553
## 10060 1993 0.755905512
## 10061 1994 1.012500000
## 10062 1995 0.943342776
## 10063 1996 0.939189189
## 10064 1997 1.077253219
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## 10066 1999 0.839826840
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## 10071 2004 1.000000000
## 10072 2005 1.051282051
## 10073 2006 1.057142857
## 10074 2007 0.631578947
## 10075 2008 NaN
## 10076 2009 NaN
## 10077 2010 0.250000000
## 10078 2011 0.266666667
## 10079 2012 0.533333333
## 10080 2013 0.461538462
## 10081 2014 1.106666667
## 10082 2015 2.111111111
## 10083 2016 1.000000000
## 10084 2017 1.000000000
## 10085 1966 0.188481675
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## 10102 1983 0.333333333
## 10103 1984 0.556701031
## 10104 1985 0.422680412
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## 10107 1988 0.950980392
## 10108 1989 1.189473684
## 10109 1990 0.886861314
## 10110 1991 0.938775510
## 10111 1992 0.827586207
## 10112 1993 0.652173913
## 10113 1994 0.717117117
## 10114 1995 0.837078652
## 10115 1996 0.747619048
## 10116 1997 1.052941176
## 10117 1998 0.475806452
## 10118 1999 0.624000000
## 10119 2000 0.843373494
## 10120 2001 0.759124088
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## 10122 2003 0.884146341
## 10123 2004 0.769230769
## 10124 2005 1.050420168
## 10125 2006 1.031496063
## 10126 2007 0.621794872
## 10127 2008 NaN
## 10128 2009 NaN
## 10129 2010 0.970588235
## 10130 2011 0.912280702
## 10131 2012 1.052631579
## 10132 2013 0.896551724
## 10133 2014 0.947826087
## 10134 2015 0.771084337
## 10135 2016 0.990909091
## 10136 2017 1.009009009
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## 10150 1979 0.333333333
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## 10156 1985 0.375000000
## 10157 1986 0.571428571
## 10158 1987 0.700000000
## 10159 1988 0.857142857
## 10160 1989 1.222222222
## 10161 1990 0.877551020
## 10162 1991 0.949152542
## 10163 1992 0.836734694
## 10164 1993 0.659090909
## 10165 1994 0.710526316
## 10166 1995 0.833333333
## 10167 1996 0.739130435
## 10168 1997 1.055555556
## 10169 1998 0.500000000
## 10170 1999 0.750000000
## 10171 2000 1.000000000
## 10172 2001 0.666666667
## 10173 2002 NaN
## 10174 2003 1.000000000
## 10175 2004 0.750000000
## 10176 2005 NaN
## 10177 2006 NaN
## 10178 2007 NaN
## 10179 2008 NaN
## 10180 2009 NaN
## 10181 2010 NaN
## 10182 2011 NaN
## 10183 2012 NaN
## 10184 2013 NaN
## 10185 2014 NaN
## 10186 2015 NaN
## 10187 2016 NaN
## 10188 2017 NaN
## 10189 1966 0.550295858
## 10190 1967 0.905263158
## 10191 1968 0.502702703
## 10192 1969 0.766871166
## 10193 1970 1.122448980
## 10194 1971 0.522123894
## 10195 1972 0.649006623
## 10196 1973 0.350746269
## 10197 1974 0.591240876
## 10198 1975 0.843750000
## 10199 1976 0.929078014
## 10200 1977 1.044444444
## 10201 1978 1.060344828
## 10202 1979 0.426470588
## 10203 1980 0.945701357
## 10204 1981 1.277777778
## 10205 1982 1.000000000
## 10206 1983 0.592000000
## 10207 1984 1.221311475
## 10208 1985 0.672897196
## 10209 1986 0.913978495
## 10210 1987 0.747663551
## 10211 1988 0.802469136
## 10212 1989 0.887500000
## 10213 1990 0.755892256
## 10214 1991 0.854214123
## 10215 1992 1.050772627
## 10216 1993 0.757719715
## 10217 1994 1.011961722
## 10218 1995 0.940909091
## 10219 1996 0.936046512
## 10220 1997 1.083601286
## 10221 1998 0.797619048
## 10222 1999 0.838565022
## 10223 2000 0.704433498
## 10224 2001 1.037209302
## 10225 2002 0.887804878
## 10226 2003 1.194444444
## 10227 2004 1.000000000
## 10228 2005 1.050420168
## 10229 2006 1.057377049
## 10230 2007 0.622641509
## 10231 2008 NaN
## 10232 2009 NaN
## 10233 2010 0.298076923
## 10234 2011 0.254901961
## 10235 2012 0.500000000
## 10236 2013 0.533333333
## 10237 2014 1.066666667
## 10238 2015 1.909090909
## 10239 2016 0.992366412
## 10240 2017 1.000000000
## 10241 1966 0.222222222
## 10242 1967 0.833333333
## 10243 1968 0.500000000
## 10244 1969 0.333333333
## 10245 1970 0.400000000
## 10246 1971 0.533333333
## 10247 1972 0.600000000
## 10248 1973 0.333333333
## 10249 1974 0.500000000
## 10250 1975 0.500000000
## 10251 1976 0.500000000
## 10252 1977 0.333333333
## 10253 1978 NaN
## 10254 1979 0.000000000
## 10255 1980 0.000000000
## 10256 1981 1.000000000
## 10257 1982 0.500000000
## 10258 1983 1.000000000
## 10259 1984 1.000000000
## 10260 1985 1.000000000
## 10261 1986 1.000000000
## 10262 1987 0.500000000
## 10263 1988 1.000000000
## 10264 1989 1.000000000
## 10265 1990 0.692307692
## 10266 1991 0.800000000
## 10267 1992 1.000000000
## 10268 1993 1.000000000
## 10269 1994 1.000000000
## 10270 1995 0.857142857
## 10271 1996 NaN
## 10272 1997 1.000000000
## 10273 1998 NaN
## 10274 1999 0.000000000
## 10275 2000 0.000000000
## 10276 2001 NaN
## 10277 2002 1.000000000
## 10278 2003 1.000000000
## 10279 2004 NaN
## 10280 2005 NaN
## 10281 2006 NaN
## 10282 2007 NaN
## 10283 2008 NaN
## 10284 2009 NaN
## 10285 2010 NaN
## 10286 2011 NaN
## 10287 2012 NaN
## 10288 2013 NaN
## 10289 2014 NaN
## 10290 2015 Inf
## 10291 2016 NaN
## 10292 2017 NaN
## 10293 1966 0.359375000
## 10294 1967 0.375000000
## 10295 1968 0.416289593
## 10296 1969 0.301886792
## 10297 1970 0.666666667
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## 10299 1972 0.679558011
## 10300 1973 0.312169312
## 10301 1974 0.143712575
## 10302 1975 0.532051282
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## 10304 1977 0.641666667
## 10305 1978 0.445312500
## 10306 1979 0.186440678
## 10307 1980 0.659090909
## 10308 1981 0.533333333
## 10309 1982 0.459459459
## 10310 1983 0.733870968
## 10311 1984 1.056000000
## 10312 1985 0.623931624
## 10313 1986 1.250000000
## 10314 1987 0.666666667
## 10315 1988 0.795918367
## 10316 1989 1.100000000
## 10317 1990 1.014247551
## 10318 1991 0.788408464
## 10319 1992 1.284722222
## 10320 1993 1.060115607
## 10321 1994 0.840466926
## 10322 1995 1.122015915
## 10323 1996 0.881736527
## 10324 1997 1.195230999
## 10325 1998 0.883642496
## 10326 1999 1.097759674
## 10327 2000 1.113839286
## 10328 2001 0.934659091
## 10329 2002 1.089843750
## 10330 2003 0.909747292
## 10331 2004 0.800724638
## 10332 2005 1.154121864
## 10333 2006 0.913978495
## 10334 2007 0.948412698
## 10335 2008 NaN
## 10336 2009 NaN
## 10337 2010 1.211764706
## 10338 2011 1.251256281
## 10339 2012 1.372549020
## 10340 2013 1.393939394
## 10341 2014 0.902097902
## 10342 2015 0.798319328
## 10343 2016 1.113772455
## 10344 2017 1.529616725
## 10345 1966 0.547826087
## 10346 1967 0.330357143
## 10347 1968 0.583333333
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## 10352 1973 0.546391753
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## 10356 1977 0.578947368
## 10357 1978 0.592592593
## 10358 1979 0.250000000
## 10359 1980 0.302325581
## 10360 1981 0.627118644
## 10361 1982 0.166666667
## 10362 1983 0.307692308
## 10363 1984 0.903846154
## 10364 1985 0.627450980
## 10365 1986 1.282608696
## 10366 1987 0.666666667
## 10367 1988 0.800000000
## 10368 1989 1.107142857
## 10369 1990 1.014170040
## 10370 1991 0.787368421
## 10371 1992 1.282758621
## 10372 1993 1.061425061
## 10373 1994 0.840848806
## 10374 1995 1.119565217
## 10375 1996 0.883582090
## 10376 1997 1.191044776
## 10377 1998 0.883076923
## 10378 1999 1.096551724
## 10379 2000 1.072916667
## 10380 2001 0.769938650
## 10381 2002 1.197478992
## 10382 2003 1.253521127
## 10383 2004 1.014778325
## 10384 2005 1.308056872
## 10385 2006 1.125000000
## 10386 2007 1.155440415
## 10387 2008 NaN
## 10388 2009 NaN
## 10389 2010 1.209302326
## 10390 2011 1.252100840
## 10391 2012 1.379629630
## 10392 2013 1.394230769
## 10393 2014 0.904761905
## 10394 2015 0.804878049
## 10395 2016 1.112149533
## 10396 2017 1.535714286
## 10397 1966 0.558528428
## 10398 1967 0.712121212
## 10399 1968 0.605072464
## 10400 1969 0.778443114
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## 10403 1972 0.650214592
## 10404 1973 0.701492537
## 10405 1974 0.515625000
## 10406 1975 0.703463203
## 10407 1976 0.770270270
## 10408 1977 0.894459103
## 10409 1978 1.148337596
## 10410 1979 0.374358974
## 10411 1980 0.685039370
## 10412 1981 0.825552826
## 10413 1982 0.481049563
## 10414 1983 0.907303371
## 10415 1984 1.259162304
## 10416 1985 0.757412399
## 10417 1986 1.248502994
## 10418 1987 1.100864553
## 10419 1988 1.202127660
## 10420 1989 1.588068182
## 10421 1990 1.332781000
## 10422 1991 1.514646054
## 10423 1992 1.653861872
## 10424 1993 1.544788274
## 10425 1994 1.180375180
## 10426 1995 1.352583587
## 10427 1996 1.144302849
## 10428 1997 1.285374554
## 10429 1998 0.895344046
## 10430 1999 1.442933923
## 10431 2000 1.254871150
## 10432 2001 0.990622069
## 10433 2002 1.218374558
## 10434 2003 1.122614041
## 10435 2004 1.070701660
## 10436 2005 1.247419133
## 10437 2006 1.169652266
## 10438 2007 1.111893294
## 10439 2008 NaN
## 10440 2009 NaN
## 10441 2010 1.282225781
## 10442 2011 1.375626687
## 10443 2012 1.491941673
## 10444 2013 1.407821229
## 10445 2014 0.948440748
## 10446 2015 0.857455181
## 10447 2016 1.158816660
## 10448 2017 2.085324232
## 10449 1966 0.625792812
## 10450 1967 0.630630631
## 10451 1968 0.718446602
## 10452 1969 0.783382789
## 10453 1970 0.687845304
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## 10455 1972 0.654434251
## 10456 1973 1.140000000
## 10457 1974 0.764534884
## 10458 1975 0.674486804
## 10459 1976 0.791780822
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## 10461 1978 0.904761905
## 10462 1979 0.198391421
## 10463 1980 0.497282609
## 10464 1981 0.668449198
## 10465 1982 0.386440678
## 10466 1983 0.772594752
## 10467 1984 0.758426966
## 10468 1985 0.641456583
## 10469 1986 0.769938650
## 10470 1987 0.796116505
## 10471 1988 1.109422492
## 10472 1989 0.912921348
## 10473 1990 0.998743719
## 10474 1991 0.972826087
## 10475 1992 1.202257336
## 10476 1993 1.547952048
## 10477 1994 1.251314060
## 10478 1995 1.048858888
## 10479 1996 0.868693402
## 10480 1997 0.768690769
## 10481 1998 0.710227273
## 10482 1999 1.005990266
## 10483 2000 1.133802817
## 10484 2001 1.051992410
## 10485 2002 1.048823017
## 10486 2003 1.069575957
## 10487 2004 2.037313433
## 10488 2005 1.639027877
## 10489 2006 1.408959538
## 10490 2007 1.668674699
## 10491 2008 NaN
## 10492 2009 NaN
## 10493 2010 1.449017774
## 10494 2011 1.773237998
## 10495 2012 1.583596215
## 10496 2013 1.407911001
## 10497 2014 0.615103532
## 10498 2015 0.750688705
## 10499 2016 0.796844181
## 10500 2017 1.281507656
## 10501 1966 0.417040359
## 10502 1967 0.488479263
## 10503 1968 0.452554745
## 10504 1969 0.436090226
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## 10510 1975 0.728613569
## 10511 1976 0.772853186
## 10512 1977 0.657142857
## 10513 1978 0.642611684
## 10514 1979 0.164556962
## 10515 1980 0.774305556
## 10516 1981 1.177304965
## 10517 1982 0.338235294
## 10518 1983 0.900369004
## 10519 1984 0.606779661
## 10520 1985 0.878594249
## 10521 1986 1.111111111
## 10522 1987 0.431535270
## 10523 1988 0.827433628
## 10524 1989 0.874074074
## 10525 1990 0.861463016
## 10526 1991 0.723973825
## 10527 1992 1.307336800
## 10528 1993 1.299657534
## 10529 1994 1.036758563
## 10530 1995 1.333594056
## 10531 1996 0.916431167
## 10532 1997 1.631114675
## 10533 1998 0.656963021
## 10534 1999 0.713375796
## 10535 2000 0.661389622
## 10536 2001 1.124477861
## 10537 2002 0.940641455
## 10538 2003 1.018602541
## 10539 2004 1.546948357
## 10540 2005 1.701104101
## 10541 2006 1.486322188
## 10542 2007 1.544342508
## 10543 2008 NaN
## 10544 2009 NaN
## 10545 2010 1.238341969
## 10546 2011 1.455857385
## 10547 2012 1.438368056
## 10548 2013 0.960091220
## 10549 2014 0.921771913
## 10550 2015 0.740551583
## 10551 2016 0.690682037
## 10552 2017 0.760869565
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## 10554 1967 0.400284900
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## 10563 1976 0.618960802
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## 10570 1983 0.729330709
## 10571 1984 0.826944140
## 10572 1985 0.591598600
## 10573 1986 0.492668622
## 10574 1987 0.865127582
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## 10576 1989 1.030567686
## 10577 1990 0.613886792
## 10578 1991 0.517109501
## 10579 1992 0.648034284
## 10580 1993 0.730269058
## 10581 1994 0.388696255
## 10582 1995 0.754295533
## 10583 1996 0.848136646
## 10584 1997 0.643781452
## 10585 1998 0.496866097
## 10586 1999 0.431014823
## 10587 2000 0.769835597
## 10588 2001 0.719551282
## 10589 2002 0.697135061
## 10590 2003 1.129563350
## 10591 2004 0.831632653
## 10592 2005 0.499068901
## 10593 2006 1.048918156
## 10594 2007 0.411945542
## 10595 2008 NaN
## 10596 2009 NaN
## 10597 2010 1.279503106
## 10598 2011 1.064981949
## 10599 2012 1.878048780
## 10600 2013 0.637583893
## 10601 2014 0.872180451
## 10602 2015 0.605263158
## 10603 2016 0.952755906
## 10604 2017 0.896860987
## 10605 1966 0.412162162
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## 10609 1970 0.464000000
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## 10618 1979 0.196610169
## 10619 1980 0.503703704
## 10620 1981 0.752688172
## 10621 1982 0.594936709
## 10622 1983 0.791970803
## 10623 1984 0.747368421
## 10624 1985 0.535211268
## 10625 1986 0.609649123
## 10626 1987 0.455696203
## 10627 1988 0.882075472
## 10628 1989 1.030612245
## 10629 1990 1.055802469
## 10630 1991 0.732258065
## 10631 1992 0.813824420
## 10632 1993 0.773513514
## 10633 1994 0.407357860
## 10634 1995 0.990715456
## 10635 1996 0.828353837
## 10636 1997 0.670439414
## 10637 1998 0.796716185
## 10638 1999 0.970138383
## 10639 2000 0.976092896
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## 10641 2002 0.801383399
## 10642 2003 1.122529644
## 10643 2004 1.289241623
## 10644 2005 1.390374332
## 10645 2006 1.676729560
## 10646 2007 0.236162362
## 10647 2008 NaN
## 10648 2009 NaN
## 10649 2010 1.124694377
## 10650 2011 1.136764706
## 10651 2012 1.897790055
## 10652 2013 1.261261261
## 10653 2014 0.863436123
## 10654 2015 0.646322379
## 10655 2016 0.950993377
## 10656 2017 1.883381924
## 10657 1966 0.534233365
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## 10666 1975 0.659751037
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## 10670 1979 0.068678460
## 10671 1980 0.518847007
## 10672 1981 0.830752212
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## 10674 1983 0.719075145
## 10675 1984 0.556592765
## 10676 1985 0.504624872
## 10677 1986 0.482932996
## 10678 1987 0.709794438
## 10679 1988 0.918552036
## 10680 1989 0.945606695
## 10681 1990 0.814346612
## 10682 1991 0.758278146
## 10683 1992 0.753639418
## 10684 1993 0.888773569
## 10685 1994 0.625697211
## 10686 1995 0.725727747
## 10687 1996 0.738233288
## 10688 1997 0.903698279
## 10689 1998 0.600388916
## 10690 1999 0.838908451
## 10691 2000 0.805293854
## 10692 2001 1.009011145
## 10693 2002 0.839295248
## 10694 2003 0.915127426
## 10695 2004 0.820317670
## 10696 2005 0.577786530
## 10697 2006 0.603130435
## 10698 2007 0.199084668
## 10699 2008 NaN
## 10700 2009 NaN
## 10701 2010 0.756001574
## 10702 2011 0.926905830
## 10703 2012 1.261149425
## 10704 2013 1.019361591
## 10705 2014 0.796910755
## 10706 2015 0.069888961
## 10707 2016 0.728456914
## 10708 2017 0.871396896
## 10709 1966 0.368055556
## 10710 1967 0.610975610
## 10711 1968 0.396014944
## 10712 1969 0.441041348
## 10713 1970 0.613180516
## 10714 1971 0.500000000
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## 10716 1973 0.649499285
## 10717 1974 0.344163658
## 10718 1975 0.557831325
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## 10720 1977 0.780821918
## 10721 1978 0.593516209
## 10722 1979 0.023468057
## 10723 1980 0.505479452
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## 10725 1982 0.530944625
## 10726 1983 0.975324675
## 10727 1984 0.587500000
## 10728 1985 0.813283208
## 10729 1986 0.682255846
## 10730 1987 0.789312977
## 10731 1988 0.604166667
## 10732 1989 0.767926988
## 10733 1990 0.865902426
## 10734 1991 0.568691398
## 10735 1992 0.750032821
## 10736 1993 0.857389056
## 10737 1994 0.973619720
## 10738 1995 0.729374743
## 10739 1996 0.782806679
## 10740 1997 0.537290503
## 10741 1998 0.746697389
## 10742 1999 0.797639860
## 10743 2000 0.846232626
## 10744 2001 0.695132222
## 10745 2002 0.645740858
## 10746 2003 0.946438136
## 10747 2004 0.962326504
## 10748 2005 1.011704120
## 10749 2006 0.692377086
## 10750 2007 0.509378293
## 10751 2008 NaN
## 10752 2009 NaN
## 10753 2010 0.925115692
## 10754 2011 1.131113181
## 10755 2012 1.352188082
## 10756 2013 1.068150591
## 10757 2014 1.044302034
## 10758 2015 0.282929711
## 10759 2016 1.011690437
## 10760 2017 1.273938796
## 10761 1966 0.737704918
## 10762 1967 0.723076923
## 10763 1968 0.661764706
## 10764 1969 0.810344828
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## 10769 1974 0.750000000
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## 10771 1976 0.968750000
## 10772 1977 1.200000000
## 10773 1978 0.851851852
## 10774 1979 0.254901961
## 10775 1980 0.647058824
## 10776 1981 1.440000000
## 10777 1982 1.063829787
## 10778 1983 0.976744186
## 10779 1984 1.054545455
## 10780 1985 1.339285714
## 10781 1986 1.106382979
## 10782 1987 0.875000000
## 10783 1988 1.056179775
## 10784 1989 1.354838710
## 10785 1990 1.082533589
## 10786 1991 0.638036810
## 10787 1992 1.096363636
## 10788 1993 1.107309487
## 10789 1994 1.001984127
## 10790 1995 0.789789790
## 10791 1996 0.540765391
## 10792 1997 0.891379310
## 10793 1998 1.100358423
## 10794 1999 0.894837476
## 10795 2000 1.270270270
## 10796 2001 0.991416309
## 10797 2002 0.864224138
## 10798 2003 0.968137255
## 10799 2004 0.883817427
## 10800 2005 1.386666667
## 10801 2006 1.239373602
## 10802 2007 1.190582960
## 10803 2008 NaN
## 10804 2009 NaN
## 10805 2010 1.091111111
## 10806 2011 1.200892857
## 10807 2012 1.259009009
## 10808 2013 0.882022472
## 10809 2014 1.081180812
## 10810 2015 0.915611814
## 10811 2016 0.922352941
## 10812 2017 1.110874200
## 10813 1966 0.250000000
## 10814 1967 0.727272727
## 10815 1968 0.217391304
## 10816 1969 0.808988764
## 10817 1970 0.750000000
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## 10820 1973 0.937500000
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## 10822 1975 1.023809524
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## 10824 1977 1.188235294
## 10825 1978 0.848484848
## 10826 1979 0.250000000
## 10827 1980 0.655737705
## 10828 1981 1.455696203
## 10829 1982 1.072463768
## 10830 1983 0.983333333
## 10831 1984 1.053763441
## 10832 1985 1.301075269
## 10833 1986 1.092105263
## 10834 1987 0.868131868
## 10835 1988 1.051948052
## 10836 1989 1.360000000
## 10837 1990 1.084745763
## 10838 1991 0.639804640
## 10839 1992 1.096009975
## 10840 1993 1.107246377
## 10841 1994 1.002673797
## 10842 1995 0.789002558
## 10843 1996 0.540983607
## 10844 1997 0.710700132
## 10845 1998 2.013440860
## 10846 1999 0.957031250
## 10847 2000 1.314285714
## 10848 2001 1.080188679
## 10849 2002 0.859939759
## 10850 2003 1.078832117
## 10851 2004 0.628787879
## 10852 2005 1.166666667
## 10853 2006 1.061889251
## 10854 2007 1.073455760
## 10855 2008 NaN
## 10856 2009 NaN
## 10857 2010 0.882644628
## 10858 2011 1.346215781
## 10859 2012 1.166666667
## 10860 2013 1.279629630
## 10861 2014 1.095238095
## 10862 2015 1.037037037
## 10863 2016 1.241274659
## 10864 2017 1.338551859
## 10865 1966 0.661538462
## 10866 1967 0.718750000
## 10867 1968 0.671875000
## 10868 1969 0.809523810
## 10869 1970 0.968750000
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## 10871 1972 0.704918033
## 10872 1973 0.929824561
## 10873 1974 0.762711864
## 10874 1975 1.018181818
## 10875 1976 0.831168831
## 10876 1977 1.196721311
## 10877 1978 0.857142857
## 10878 1979 0.246153846
## 10879 1980 0.647058824
## 10880 1981 1.460000000
## 10881 1982 1.056603774
## 10882 1983 0.957446809
## 10883 1984 1.056603774
## 10884 1985 1.433962264
## 10885 1986 1.142857143
## 10886 1987 0.882352941
## 10887 1988 1.040816327
## 10888 1989 1.375000000
## 10889 1990 1.083700441
## 10890 1991 0.638115632
## 10891 1992 1.096280088
## 10892 1993 1.106930693
## 10893 1994 1.001855288
## 10894 1995 1.050808314
## 10895 1996 0.841491841
## 10896 1997 0.969879518
## 10897 1998 0.686440678
## 10898 1999 0.873118280
## 10899 2000 1.425000000
## 10900 2001 0.971800434
## 10901 2002 1.096938776
## 10902 2003 1.088471850
## 10903 2004 1.275409836
## 10904 2005 1.458204334
## 10905 2006 1.318042813
## 10906 2007 1.337386018
## 10907 2008 NaN
## 10908 2009 NaN
## 10909 2010 1.227129338
## 10910 2011 1.234177215
## 10911 2012 1.361370717
## 10912 2013 0.807980050
## 10913 2014 1.467289720
## 10914 2015 0.663157895
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## 10955 2004 1.212962963
## 10956 2005 1.691558442
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## 10959 2008 NaN
## 10960 2009 NaN
## 10961 2010 1.228013029
## 10962 2011 1.234265734
## 10963 2012 1.819383260
## 10964 2013 0.787769784
## 10965 2014 1.571917808
## 10966 2015 1.838709677
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## 10992 1989 1.400000000
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## 11012 2009 NaN
## 11013 2010 1.188679245
## 11014 2011 1.226666667
## 11015 2012 1.434523810
## 11016 2013 1.142857143
## 11017 2014 1.104166667
## 11018 2015 0.797619048
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## 11021 1966 1.000000000
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## 11058 2003 1.333333333
## 11059 2004 1.333333333
## 11060 2005 1.000000000
## 11061 2006 1.000000000
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## 11063 2008 NaN
## 11064 2009 NaN
## 11065 2010 NaN
## 11066 2011 NaN
## 11067 2012 NaN
## 11068 2013 NaN
## 11069 2014 NaN
## 11070 2015 NaN
## 11071 2016 NaN
## 11072 2017 NaN
## 11073 1966 0.571428571
## 11074 1967 0.833333333
## 11075 1968 0.571428571
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## 11087 1980 0.666666667
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## 11089 1982 1.100000000
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## 11091 1984 0.875000000
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## 11093 1986 1.000000000
## 11094 1987 0.875000000
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## 11100 1993 1.230769231
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## 11110 2003 1.454545455
## 11111 2004 1.375000000
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## 11114 2007 0.666666667
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## 11116 2009 NaN
## 11117 2010 1.166666667
## 11118 2011 1.000000000
## 11119 2012 1.250000000
## 11120 2013 1.428571429
## 11121 2014 1.250000000
## 11122 2015 0.750000000
## 11123 2016 1.166666667
## 11124 2017 1.750000000
## 11125 1966 NaN
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## 11127 1968 NaN
## 11128 1969 NaN
## 11129 1970 NaN
## 11130 1971 NaN
## 11131 1972 NaN
## 11132 1973 NaN
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## 11134 1975 NaN
## 11135 1976 NaN
## 11136 1977 NaN
## 11137 1978 NaN
## 11138 1979 NaN
## 11139 1980 NaN
## 11140 1981 NaN
## 11141 1982 NaN
## 11142 1983 1.000000000
## 11143 1984 1.000000000
## 11144 1985 1.000000000
## 11145 1986 1.000000000
## 11146 1987 1.000000000
## 11147 1988 1.000000000
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## 11152 1993 1.200000000
## 11153 1994 1.000000000
## 11154 1995 1.250000000
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## 11157 1998 0.500000000
## 11158 1999 1.000000000
## 11159 2000 1.666666667
## 11160 2001 1.000000000
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## 11162 2003 1.230769231
## 11163 2004 1.448979592
## 11164 2005 1.000000000
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## 11166 2007 0.500000000
## 11167 2008 NaN
## 11168 2009 NaN
## 11169 2010 NaN
## 11170 2011 NaN
## 11171 2012 NaN
## 11172 2013 NaN
## 11173 2014 NaN
## 11174 2015 NaN
## 11175 2016 NaN
## 11176 2017 NaN
## 11177 1966 0.500000000
## 11178 1967 0.750000000
## 11179 1968 0.500000000
## 11180 1969 0.666666667
## 11181 1970 0.666666667
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## 11191 1980 0.500000000
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## 11198 1987 1.000000000
## 11199 1988 1.000000000
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## 11203 1992 1.181818182
## 11204 1993 1.214285714
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## 11220 2009 NaN
## 11221 2010 1.333333333
## 11222 2011 1.500000000
## 11223 2012 1.500000000
## 11224 2013 1.500000000
## 11225 2014 1.000000000
## 11226 2015 NaN
## 11227 2016 1.000000000
## 11228 2017 1.333333333
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## 11272 2009 NaN
## 11273 2010 0.798449612
## 11274 2011 0.778723404
## 11275 2012 1.215859031
## 11276 2013 1.076190476
## 11277 2014 0.919540230
## 11278 2015 1.432926829
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## 11304 1989 1.100000000
## 11305 1990 1.237998648
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## 11307 1992 1.018309859
## 11308 1993 0.931245225
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## 11324 2009 NaN
## 11325 2010 0.881235154
## 11326 2011 0.820051414
## 11327 2012 1.391184573
## 11328 2013 0.702631579
## 11329 2014 0.496710526
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## 11377 2010 0.839002268
## 11378 2011 0.839578454
## 11379 2012 0.979407979
## 11380 2013 0.797139142
## 11381 2014 0.750000000
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## 11427 2008 NaN
## 11428 2009 NaN
## 11429 2010 1.160751566
## 11430 2011 0.882488479
## 11431 2012 1.405714286
## 11432 2013 0.916864608
## 11433 2014 1.096273292
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## 11475 2004 1.003968254
## 11476 2005 1.092134831
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## 11478 2007 0.924571429
## 11479 2008 NaN
## 11480 2009 NaN
## 11481 2010 1.113636364
## 11482 2011 1.210526316
## 11483 2012 1.213592233
## 11484 2013 1.079207921
## 11485 2014 0.970401691
## 11486 2015 1.407465008
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## 11488 2017 1.559006211
## 11489 1966 0.493150685
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## 11491 1968 0.600000000
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## 11531 2008 NaN
## 11532 2009 NaN
## 11533 2010 0.789473684
## 11534 2011 0.777777778
## 11535 2012 1.176470588
## 11536 2013 1.074074074
## 11537 2014 0.750000000
## 11538 2015 0.500000000
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## 11540 2017 1.000000000
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## 11561 1986 1.000000000
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## 11563 1988 1.000000000
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## 11582 2007 0.879310345
## 11583 2008 NaN
## 11584 2009 NaN
## 11585 2010 0.784722222
## 11586 2011 0.889733840
## 11587 2012 1.057613169
## 11588 2013 0.480952381
## 11589 2014 1.080882353
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## 11593 1966 1.400000000
## 11594 1967 0.846153846
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## 11613 1986 1.000000000
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## 11618 1991 0.900000000
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## 11633 2006 1.000000000
## 11634 2007 0.666666667
## 11635 2008 NaN
## 11636 2009 NaN
## 11637 2010 NaN
## 11638 2011 NaN
## 11639 2012 Inf
## 11640 2013 NaN
## 11641 2014 NaN
## 11642 2015 0.000000000
## 11643 2016 NaN
## 11644 2017 NaN
## 11645 1966 0.800000000
## 11646 1967 0.888888889
## 11647 1968 0.888888889
## 11648 1969 1.000000000
## 11649 1970 0.666666667
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## 13825 1966 NaN
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## 13904 1993 0.654761905
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## 13981 1966 NaN
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## 13983 1968 1.200000000
## 13984 1969 0.833333333
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## 13995 1980 0.750000000
## 13996 1981 NaN
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## 14002 1987 NaN
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## 14025 2010 NaN
## 14026 2011 NaN
## 14027 2012 NaN
## 14028 2013 NaN
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## 14030 2015 NaN
## 14031 2016 NaN
## 14032 2017 NaN
## 14033 1966 NaN
## 14034 1967 1.050000000
## 14035 1968 0.648936170
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## 14133 2014 0.716981132
## 14134 2015 0.700000000
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## 14136 2017 0.741935484
## 14137 1966 0.941176471
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## 14183 2012 NaN
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## 14186 2015 0.714285714
## 14187 2016 0.700000000
## 14188 2017 0.666666667
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## 14234 2011 0.622950820
## 14235 2012 NaN
## 14236 2013 NaN
## 14237 2014 0.625899281
## 14238 2015 0.626666667
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## 14240 2017 0.633802817
## 14241 1966 NaN
## 14242 1967 0.666666667
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## 14245 1970 0.560000000
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## 14286 2011 1.000000000
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## 14288 2013 NaN
## 14289 2014 1.000000000
## 14290 2015 NaN
## 14291 2016 NaN
## 14292 2017 NaN
## 14293 1966 0.600000000
## 14294 1967 0.666666667
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## 14314 1987 0.552000000
## 14315 1988 1.021897810
## 14316 1989 0.985074627
## 14317 1990 1.000000000
## 14318 1991 0.700000000
## 14319 1992 NaN
## 14320 1993 0.831325301
## 14321 1994 1.062500000
## 14322 1995 0.965909091
## 14323 1996 0.382022472
## 14324 1997 0.419753086
## 14325 1998 0.428571429
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## 14330 2003 0.391304348
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## 14339 2012 NaN
## 14340 2013 NaN
## 14341 2014 0.550000000
## 14342 2015 0.500000000
## 14343 2016 0.571428571
## 14344 2017 0.714285714
## 14345 1966 NaN
## 14346 1967 NaN
## 14347 1968 NaN
## 14348 1969 NaN
## 14349 1970 Inf
## 14350 1971 1.000000000
## 14351 1972 1.000000000
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## 14359 1980 0.666666667
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## 14375 1996 0.840000000
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## 14390 2011 0.400000000
## 14391 2012 NaN
## 14392 2013 NaN
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## 14394 2015 0.600000000
## 14395 2016 0.600000000
## 14396 2017 0.600000000
## 14397 1966 2.111111111
## 14398 1967 2.111111111
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## 14421 1990 1.000000000
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## 14423 1992 0.696428571
## 14424 1993 0.661016949
## 14425 1994 0.720000000
## 14426 1995 1.023255814
## 14427 1996 0.826086957
## 14428 1997 0.562500000
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## 14440 2009 0.500000000
## 14441 2010 1.000000000
## 14442 2011 1.000000000
## 14443 2012 NaN
## 14444 2013 NaN
## 14445 2014 1.000000000
## 14446 2015 1.000000000
## 14447 2016 1.000000000
## 14448 2017 1.000000000
## 14449 1966 0.307692308
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## 14462 1979 0.471428571
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## 14476 1993 0.772925764
## 14477 1994 0.666666667
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## 14492 2009 0.638297872
## 14493 2010 0.460431655
## 14494 2011 0.627272727
## 14495 2012 NaN
## 14496 2013 NaN
## 14497 2014 0.619631902
## 14498 2015 0.619834711
## 14499 2016 0.583333333
## 14500 2017 0.634920635
## 14501 1966 NaN
## 14502 1967 NaN
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## 14510 1975 NaN
## 14511 1976 NaN
## 14512 1977 NaN
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## 14520 1985 NaN
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## 14522 1987 NaN
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## 14524 1989 NaN
## 14525 1990 NaN
## 14526 1991 NaN
## 14527 1992 NaN
## 14528 1993 NaN
## 14529 1994 NaN
## 14530 1995 NaN
## 14531 1996 NaN
## 14532 1997 NaN
## 14533 1998 NaN
## 14534 1999 NaN
## 14535 2000 NaN
## 14536 2001 NaN
## 14537 2002 NaN
## 14538 2003 NaN
## 14539 2004 NaN
## 14540 2005 NaN
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## 14542 2007 NaN
## 14543 2008 NaN
## 14544 2009 NaN
## 14545 2010 NaN
## 14546 2011 NaN
## 14547 2012 NaN
## 14548 2013 NaN
## 14549 2014 NaN
## 14550 2015 NaN
## 14551 2016 NaN
## 14552 2017 NaN
## 14553 1966 NaN
## 14554 1967 NaN
## 14555 1968 NaN
## 14556 1969 NaN
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## 14565 1978 NaN
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## 14570 1983 NaN
## 14571 1984 NaN
## 14572 1985 NaN
## 14573 1986 NaN
## 14574 1987 NaN
## 14575 1988 NaN
## 14576 1989 NaN
## 14577 1990 NaN
## 14578 1991 NaN
## 14579 1992 NaN
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## 15642 1969 NaN
## 15643 1970 NaN
## 15644 1971 0.428571429
## 15645 1972 0.372549020
## 15646 1973 0.276595745
## 15647 1974 0.250000000
## 15648 1975 0.460674157
## 15649 1976 Inf
## 15650 1977 Inf
## 15651 1978 NaN
## 15652 1979 NaN
## 15653 1980 NaN
## 15654 1981 NaN
## 15655 1982 NaN
## 15656 1983 NaN
## 15657 1984 NaN
## 15658 1985 NaN
## 15659 1986 NaN
## 15660 1987 0.250000000
## 15661 1988 0.500000000
## 15662 1989 NaN
## 15663 1990 0.500000000
## 15664 1991 0.400000000
## 15665 1992 0.000000000
## 15666 1993 0.611940299
## 15667 1994 0.571428571
## 15668 1995 0.500000000
## 15669 1996 1.000000000
## 15670 1997 0.916666667
## 15671 1998 1.650000000
## 15672 1999 1.180904523
## 15673 2000 1.000000000
## 15674 2001 NaN
## 15675 2002 NaN
## 15676 2003 1.000000000
## 15677 2004 1.000000000
## 15678 2005 1.500000000
## 15679 2006 1.500000000
## 15680 2007 1.040000000
## 15681 2008 1.000000000
## 15682 2009 1.125000000
## 15683 2010 1.000000000
## 15684 2011 1.090909091
## 15685 2012 1.000000000
## 15686 2013 1.090909091
## 15687 2014 1.090909091
## 15688 2015 1.100000000
## 15689 2016 1.111111111
## 15690 2017 1.111111111
## 15691 1966 NaN
## 15692 1967 NaN
## 15693 1968 NaN
## 15694 1969 NaN
## 15695 1970 NaN
## 15696 1971 0.333333333
## 15697 1972 0.000000000
## 15698 1973 0.000000000
## 15699 1974 1.000000000
## 15700 1975 NaN
## 15701 1976 Inf
## 15702 1977 NaN
## 15703 1978 NaN
## 15704 1979 NaN
## 15705 1980 NaN
## 15706 1981 NaN
## 15707 1982 NaN
## 15708 1983 NaN
## 15709 1984 NaN
## 15710 1985 NaN
## 15711 1986 NaN
## 15712 1987 NaN
## 15713 1988 NaN
## 15714 1989 0.452380952
## 15715 1990 0.500000000
## 15716 1991 NaN
## 15717 1992 0.642857143
## 15718 1993 NaN
## 15719 1994 NaN
## 15720 1995 0.000000000
## 15721 1996 0.454545455
## 15722 1997 NaN
## 15723 1998 NaN
## 15724 1999 0.814229249
## 15725 2000 NaN
## 15726 2001 0.900000000
## 15727 2002 NaN
## 15728 2003 1.000000000
## 15729 2004 1.000000000
## 15730 2005 NaN
## 15731 2006 1.000000000
## 15732 2007 1.000000000
## 15733 2008 1.000000000
## 15734 2009 1.000000000
## 15735 2010 1.000000000
## 15736 2011 1.000000000
## 15737 2012 1.000000000
## 15738 2013 1.000000000
## 15739 2014 1.000000000
## 15740 2015 1.000000000
## 15741 2016 1.000000000
## 15742 2017 1.000000000
## 15743 1966 NaN
## 15744 1967 NaN
## 15745 1968 NaN
## 15746 1969 NaN
## 15747 1970 NaN
## 15748 1971 0.356435644
## 15749 1972 0.380952381
## 15750 1973 0.285714286
## 15751 1974 0.352941176
## 15752 1975 0.469387755
## 15753 1976 Inf
## 15754 1977 Inf
## 15755 1978 NaN
## 15756 1979 NaN
## 15757 1980 NaN
## 15758 1981 NaN
## 15759 1982 NaN
## 15760 1983 NaN
## 15761 1984 NaN
## 15762 1985 NaN
## 15763 1986 NaN
## 15764 1987 NaN
## 15765 1988 0.000000000
## 15766 1989 0.000000000
## 15767 1990 0.500000000
## 15768 1991 0.500000000
## 15769 1992 1.000000000
## 15770 1993 0.500000000
## 15771 1994 0.500000000
## 15772 1997 NaN
## 15773 1998 NaN
## 15774 1999 NaN
## 15775 2000 NaN
## 15776 2001 NaN
## 15777 2002 NaN
## 15778 2003 NaN
## 15779 2004 NaN
## 15780 2005 NaN
## 15781 2006 NaN
## 15782 2007 NaN
## 15783 2008 NaN
## 15784 2009 NaN
## 15785 2010 NaN
## 15786 2011 NaN
## 15787 2012 NaN
## 15788 2013 NaN
## 15789 2014 NaN
## 15790 2015 NaN
## 15791 2016 NaN
## 15792 2017 0.729729730
## 15793 1966 NaN
## 15794 1967 NaN
## 15795 1968 NaN
## 15796 1969 NaN
## 15797 1970 NaN
## 15798 1971 0.391304348
## 15799 1972 2.391304348
## 15800 1973 0.347517730
## 15801 1974 0.418518519
## 15802 1975 0.458823529
## 15803 1976 Inf
## 15804 1977 Inf
## 15805 1978 NaN
## 15806 1979 NaN
## 15807 1980 NaN
## 15808 1981 NaN
## 15809 1982 NaN
## 15810 1983 NaN
## 15811 1984 NaN
## 15812 1985 NaN
## 15813 1986 NaN
## 15814 1987 0.500000000
## 15815 1988 0.600619195
## 15816 1989 0.447089947
## 15817 1990 0.549019608
## 15818 1991 0.462809917
## 15819 1992 0.592741935
## 15820 1993 0.596774194
## 15821 1994 0.579365079
## 15822 1995 0.591065292
## 15823 1996 0.793103448
## 15824 1997 0.835227273
## 15825 1998 1.099009901
## 15826 1999 1.390279823
## 15827 2000 0.924528302
## 15828 2001 1.057553957
## 15829 2002 1.014492754
## 15830 2003 1.015873016
## 15831 2004 1.006211180
## 15832 2005 1.018404908
## 15833 2006 1.018939394
## 15834 2007 1.027624309
## 15835 2008 1.007812500
## 15836 2009 1.023809524
## 15837 2010 1.060240964
## 15838 2011 1.063829787
## 15839 2012 1.071038251
## 15840 2013 1.058823529
## 15841 2014 1.060869565
## 15842 2015 1.059322034
## 15843 2016 1.064102564
## 15844 2017 1.064000000
## 15845 1966 NaN
## 15846 1967 NaN
## 15847 1968 NaN
## 15848 1969 NaN
## 15849 1970 NaN
## 15850 1971 0.400000000
## 15851 1972 0.365384615
## 15852 1973 0.352941176
## 15853 1974 0.444444444
## 15854 1975 0.265306122
## 15855 1976 Inf
## 15856 1977 Inf
## 15857 1978 NaN
## 15858 1979 NaN
## 15859 1980 NaN
## 15860 1981 NaN
## 15861 1982 NaN
## 15862 1983 NaN
## 15863 1984 NaN
## 15864 1985 NaN
## 15865 1986 NaN
## 15866 1987 NaN
## 15867 1988 NaN
## 15868 1989 NaN
## 15869 1990 NaN
## 15870 1991 NaN
## 15871 1992 0.500000000
## 15872 1993 0.400000000
## 15873 1994 0.577464789
## 15874 1995 0.000000000
## 15875 1996 NaN
## 15876 1997 NaN
## 15877 1998 1.000000000
## 15878 1999 1.326568266
## 15879 2000 NaN
## 15880 2001 NaN
## 15881 2002 NaN
## 15882 2003 NaN
## 15883 2004 NaN
## 15884 2005 1.000000000
## 15885 2006 1.000000000
## 15886 2007 1.000000000
## 15887 2008 NaN
## 15888 2009 NaN
## 15889 2010 1.065217391
## 15890 2011 NaN
## 15891 2012 1.063829787
## 15892 2013 1.000000000
## 15893 2014 NaN
## 15894 2015 NaN
## 15895 2016 NaN
## 15896 2017 NaN
## 15897 1966 NaN
## 15898 1967 NaN
## 15899 1968 NaN
## 15900 1969 NaN
## 15901 1970 NaN
## 15902 1971 0.373983740
## 15903 1972 0.964285714
## 15904 1973 0.466666667
## 15905 1974 0.426229508
## 15906 1975 0.466666667
## 15907 1976 Inf
## 15908 1977 Inf
## 15909 1978 NaN
## 15910 1979 NaN
## 15911 1980 NaN
## 15912 1981 NaN
## 15913 1982 NaN
## 15914 1983 NaN
## 15915 1984 NaN
## 15916 1985 NaN
## 15917 1986 NaN
## 15918 1987 NaN
## 15919 1988 0.000000000
## 15920 1989 0.000000000
## 15921 1990 0.571428571
## 15922 1991 0.466666667
## 15923 1992 0.500000000
## 15924 1993 0.500000000
## 15925 1994 0.333333333
## 15926 1997 NaN
## 15927 1998 NaN
## 15928 1999 NaN
## 15929 2000 NaN
## 15930 2001 NaN
## 15931 2002 NaN
## 15932 2003 NaN
## 15933 2004 NaN
## 15934 2005 NaN
## 15935 2006 NaN
## 15936 2007 NaN
## 15937 2008 NaN
## 15938 2009 NaN
## 15939 2010 NaN
## 15940 2011 NaN
## 15941 2012 NaN
## 15942 2013 NaN
## 15943 2014 NaN
## 15944 2015 NaN
## 15945 2016 NaN
## 15946 2017 0.890625000
## 15947 1966 NaN
## 15948 1967 NaN
## 15949 1968 NaN
## 15950 1969 NaN
## 15951 1970 NaN
## 15952 1971 0.000000000
## 15953 1972 NaN
## 15954 1973 0.000000000
## 15955 1974 NaN
## 15956 1975 NaN
## 15957 1976 NaN
## 15958 1977 NaN
## 15959 1978 NaN
## 15960 1979 NaN
## 15961 1980 NaN
## 15962 1981 NaN
## 15963 1982 NaN
## 15964 1983 NaN
## 15965 1984 NaN
## 15966 1985 NaN
## 15967 1986 NaN
## 15968 1987 NaN
## 15969 1988 0.000000000
## 15970 1989 NaN
## 15971 1990 NaN
## 15972 1991 NaN
## 15973 1992 NaN
## 15974 1993 NaN
## 15975 1994 NaN
## 15976 1997 NaN
## 15977 1998 NaN
## 15978 1999 NaN
## 15979 2000 NaN
## 15980 2001 NaN
## 15981 2002 NaN
## 15982 2003 NaN
## 15983 2004 NaN
## 15984 2005 NaN
## 15985 2006 NaN
## 15986 2007 NaN
## 15987 2008 NaN
## 15988 2009 NaN
## 15989 2010 NaN
## 15990 2011 NaN
## 15991 2012 NaN
## 15992 2013 NaN
## 15993 2014 NaN
## 15994 2015 NaN
## 15995 2016 NaN
## 15996 2017 0.647058824
## 15997 1966 NaN
## 15998 1967 NaN
## 15999 1968 NaN
## 16000 1969 NaN
## 16001 1970 NaN
## 16002 1971 0.232558140
## 16003 1972 0.372093023
## 16004 1973 0.465517241
## 16005 1974 0.409836066
## 16006 1975 0.000000000
## 16007 1976 Inf
## 16008 1977 Inf
## 16009 1978 NaN
## 16010 1979 NaN
## 16011 1980 NaN
## 16012 1981 NaN
## 16013 1982 NaN
## 16014 1983 NaN
## 16015 1984 NaN
## 16016 1985 NaN
## 16017 1986 NaN
## 16018 1987 NaN
## 16019 1988 0.000000000
## 16020 1989 0.000000000
## 16021 1990 0.400000000
## 16022 1991 0.463414634
## 16023 1992 0.590909091
## 16024 1993 0.591304348
## 16025 1994 0.582417582
## 16026 1997 NaN
## 16027 1998 NaN
## 16028 1999 NaN
## 16029 2000 NaN
## 16030 2001 NaN
## 16031 2002 NaN
## 16032 2003 NaN
## 16033 2004 NaN
## 16034 2005 NaN
## 16035 2006 NaN
## 16036 2007 NaN
## 16037 2008 NaN
## 16038 2009 NaN
## 16039 2010 NaN
## 16040 2011 NaN
## 16041 2012 NaN
## 16042 2013 NaN
## 16043 2014 NaN
## 16044 2015 NaN
## 16045 2016 NaN
## 16046 2017 0.480000000
## 16047 1966 NaN
## 16048 1967 NaN
## 16049 1968 NaN
## 16050 1969 NaN
## 16051 1970 NaN
## 16052 1971 0.340425532
## 16053 1972 0.361702128
## 16054 1973 0.287671233
## 16055 1974 0.576271186
## 16056 1975 Inf
## 16057 1976 Inf
## 16058 1977 Inf
## 16059 1978 NaN
## 16060 1979 NaN
## 16061 1980 NaN
## 16062 1981 NaN
## 16063 1982 NaN
## 16064 1983 NaN
## 16065 1984 NaN
## 16066 1985 NaN
## 16067 1986 NaN
## 16068 1987 NaN
## 16069 1988 0.000000000
## 16070 1989 0.000000000
## 16071 1990 0.375000000
## 16072 1991 0.400000000
## 16073 1992 0.600000000
## 16074 1993 0.666666667
## 16075 1994 0.571428571
## 16076 1997 NaN
## 16077 1998 NaN
## 16078 1999 NaN
## 16079 2000 NaN
## 16080 2001 NaN
## 16081 2002 NaN
## 16082 2003 NaN
## 16083 2004 NaN
## 16084 2005 NaN
## 16085 2006 NaN
## 16086 2007 NaN
## 16087 2008 NaN
## 16088 2009 NaN
## 16089 2010 NaN
## 16090 2011 NaN
## 16091 2012 NaN
## 16092 2013 NaN
## 16093 2014 NaN
## 16094 2015 NaN
## 16095 2016 NaN
## 16096 2017 0.666666667
## 16097 1966 NaN
## 16098 1967 NaN
## 16099 1968 NaN
## 16100 1969 NaN
## 16101 1970 NaN
## 16102 1971 0.367346939
## 16103 1972 0.400000000
## 16104 1973 0.301587302
## 16105 1974 0.205882353
## 16106 1975 0.000000000
## 16107 1976 Inf
## 16108 1977 Inf
## 16109 1978 NaN
## 16110 1979 NaN
## 16111 1980 NaN
## 16112 1981 NaN
## 16113 1982 NaN
## 16114 1983 NaN
## 16115 1984 NaN
## 16116 1985 NaN
## 16117 1986 NaN
## 16118 1987 NaN
## 16119 1988 0.000000000
## 16120 1989 0.000000000
## 16121 1990 0.400000000
## 16122 1991 0.434782609
## 16123 1992 0.611111111
## 16124 1993 0.625000000
## 16125 1994 0.600000000
## 16126 1997 NaN
## 16127 1998 NaN
## 16128 1999 NaN
## 16129 2000 NaN
## 16130 2001 NaN
## 16131 2002 NaN
## 16132 2003 NaN
## 16133 2004 NaN
## 16134 2005 NaN
## 16135 2006 NaN
## 16136 2007 NaN
## 16137 2008 NaN
## 16138 2009 NaN
## 16139 2010 NaN
## 16140 2011 NaN
## 16141 2012 NaN
## 16142 2013 NaN
## 16143 2014 NaN
## 16144 2015 NaN
## 16145 2016 NaN
## 16146 2017 0.652892562Interpretation: The code calculates the productivity ratio of Kharif Sorghum by dividing its production by the area under cultivation for each year. The output shows the ratio for each year, indicating fluctuations in sorghum productivity over time.
Question 5.3: Compute the percentage of low yield per crop in each year.
low_yield_threshold_pearl_millet <- 500
ICRISAT$Low_Yield_Pearl_Millet <- ICRISAT$pearl_millet_yield_kg_per_ha < low_yield_threshold_pearl_millet
low_yield_percentage_pearl_millet <- sum(ICRISAT$Low_Yield_Pearl_Millet) / nrow(ICRISAT) * 100
message("Percentage of low yield years for Pearl Millet: ", round(low_yield_percentage_pearl_millet, 2), "%")Interpretation: The result indicates that 55.03% of the years in the dataset for Pearl Millet had a yield below the threshold of 500 Kg per ha. This means that more than half of the years observed had Pearl Millet yields considered “low” based on the defined threshold.
———————————————————
Data Visualization
———————————————————
V1
Bar Chart: Compare total production of major crops (like rice, wheat, maize) across states.
# Aggregating data by state
state_prod <- aggregate(cbind(rice_production_1000tons, wheat_production_1000tons, maize_production_1000tons) ~ state_name, data = ICRISAT, sum)
# Convert data to long format using tidyr::pivot_longer
state_prod_long <- state_prod %>%
pivot_longer(cols = c(rice_production_1000tons, wheat_production_1000tons, maize_production_1000tons),
names_to = "crop_type",
values_to = "production")
# Grouped Bar Chart
ggplot(state_prod_long, aes(x = state_name, y = production, fill = factor(crop_type))) +
geom_col(position = "dodge") +
ggtitle("Grouped Bar Chart: Total Crop Production by State") +
xlab("State") +
ylab("Production (1000 tons)") +
labs(fill = "Crop Type") +
theme_minimal() +
theme(axis.text.x = element_text(angle = 90, hjust = 1))
Interpretation :- The chart compares maize, rice, and wheat production across Indian states, highlighting Uttar Pradesh’s dominance in wheat, West Bengal and Punjab in rice, and Karnataka and Andhra Pradesh in maize.
———————————————————
V2
Histogram: Visualize distribution of Barley yield across districts.
ggplot(ICRISAT, aes(x = barley_yield_kg_per_ha)) +
geom_histogram(bins = 30, fill = 'orange', color = 'black') +
theme_minimal() +
labs(title = 'Distribution of Barley Yield across Districts',
x = 'Barley Yield (kg/ha)',
y = 'Frequency')
Interpretation :- Most districts have low barley yields, resulting in a tall bar on the left. The distribution is right-skewed, indicating a few districts with very high yields.
———————————————————
V3
Pie Chart: Show the proportion of crop area used by different cereals in a selected state.
# Select a state (e.g., "Chhattisgarh")
state_data <- subset(ICRISAT, state_name == 'Chhattisgarh')
# Summarize area data for cereals (rice, wheat, maize)
state_cereal_area <- state_data[, c('rice_area_1000ha', 'wheat_area_1000ha', 'maize_area_1000ha')]
state_cereal_area_total <- colSums(state_cereal_area)
# Pie chart
pie(state_cereal_area_total, labels = names(state_cereal_area_total), col = rainbow(length(state_cereal_area_total)),
main = 'Proportion of Cereal Crop Area in Chhattisgarh')
Interpretation :- The red segment dominates the chart, indicating that rice occupies the largest area, while crops like maize and wheat have relatively smaller shares.
———————————————————
V4
Pair Plot: Explore relationships among area, production, and yield for wheat.
# Subset for the pair plot
pair_data <- ICRISAT[, c('rice_area_1000ha', 'rice_production_1000tons', 'rice_yield_kg_per_ha',
'wheat_area_1000ha', 'wheat_production_1000tons', 'wheat_yield_kg_per_ha')]
# Pair plot
ggpairs(pair_data)
Interpretation :- The pair plot shows a strong positive correlation between area and production for both rice (0.833) and wheat (0.911). Yield has a moderate correlation with production for rice (0.530) and wheat (0.687), but weak correlation with area.
———————————————————
V5
Boxplot: Compare rice yield variability across different states.
# Select relevant columns for rice
rice_data <- ICRISAT[, c('state_name', 'rice_yield_kg_per_ha')]
# Gather the data into long format (though there's only one variable here, so no need to reshape much)
rice_data_long <- gather(rice_data, key = 'crop_type', value = 'yield', rice_yield_kg_per_ha)
# Boxplot
ggplot(rice_data_long, aes(x = state_name, y = yield, fill = crop_type)) +
geom_boxplot() +
theme(axis.text.x = element_text(angle = 90, hjust = 1)) +
labs(title = 'Rice Yield Variability across States', x = 'State', y = 'Rice Yield (kg/ha)')
Interpretation :- Rice yield varies widely across states, with Punjab, Haryana, and West Bengal showing higher medians. Several states like Madhya Pradesh have lower yields and many outliers, indicating significant yield fluctuations within states.
———————————————————
V6
Boxplot: Visualize the wheat yield (in kg/ha) across different states.
# Select relevant data
wheat_data <- ICRISAT[, c('state_name', 'wheat_yield_kg_per_ha')]
# Boxplot for wheat yield across states
ggplot(wheat_data, aes(x = state_name, y = wheat_yield_kg_per_ha, fill = state_name)) +
geom_boxplot() +
theme(axis.text.x = element_text(angle = 90, hjust = 1)) +
labs(title = 'Wheat Yield (kg/ha) Across States',
x = 'State',
y = 'Wheat Yield (kg/ha)')
Interpretation :- Based on the boxplot, Punjab and Haryana exhibit higher median wheat yields compared to other states, while states like Bihar and Tamil Nadu tend to have lower median yields and greater variability.States like Uttrakhand & MP have most outliers.
———————————————————
V7
Line Chart: Is there a noticeable increase or decrease in the total crop production over the years from 1966 to 2017?
# Filter the dataset for years between 1966 and 2017
ICRISAT_filtered <- ICRISAT %>%
filter(year >= 1966 & year <= 2017)
# Sum the production for all crops for each year (you can modify for different crops if needed)
ICRISAT_filtered$total_production <- ICRISAT_filtered$rice_production_1000tons +
ICRISAT_filtered$wheat_production_1000tons +
ICRISAT_filtered$barley_production_1000tons +
ICRISAT_filtered$sorghum_production_1000tons +
ICRISAT_filtered$pearl_millet_production_1000tons +
ICRISAT_filtered$maize_production_1000tons +
ICRISAT_filtered$finger_millet_production_1000tons +
ICRISAT_filtered$chickpea_production_1000tons +
ICRISAT_filtered$pigeonpea_production_1000tons +
ICRISAT_filtered$groundnut_production_1000tons # Add other crops if necessary
# Summarize the total production by year
production_by_year <- ICRISAT_filtered %>%
group_by(year) %>%
summarize(total_production = sum(total_production))
# Plot the total production for each year from 1996 to 2017
ggplot(production_by_year, aes(x = year, y = total_production)) +
geom_line(color = "blue", size = 1) +
geom_point(color = "red", size = 2) + # Adds points to highlight each year
labs(title = "Total Crop Production from 1996 to 2017",
x = "Year",
y = "Total Production (1000 tons)") +
theme_minimal()
Interpretation :- Yes, the line chart illustrates a strong positive growth trajectory in total crop production between 1966 and 2017.
———————————————————
Advanced Engineering
———————————————————
1.1
ANOVA 1: Analyze the effect of state on wheat yield.
Null Hypothesis (H0): No significant difference in wheat yield between states.
Alternative Hypothesis (H1): Significant difference in wheat yield between at least one pair of states.
anova_wheat_yield <- aov(wheat_yield_kg_per_ha ~ state_name, data = wheat_data)
summary(anova_wheat_yield)## Df Sum Sq Mean Sq F value Pr(>F)
## state_name 19 1.074e+10 565029057 1119 <2e-16 ***
## Residuals 16126 8.140e+09 504761
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1Interpretation :- With a very small p-value (< 0.05), reject the null hypothesis. There is a significant difference in wheat yield between states.
———————————————————
1.3
ANOVA 2: Analyze the effect of year on maize yield.
Null Hypothesis (H0): No significant difference in maize yield across years.
Alternative Hypothesis (H1): Significant difference in maize yield across at least one year.
anova_maize_yield_year <- aov(maize_yield_kg_per_ha ~ factor(year), data = ICRISAT)
summary(anova_maize_yield_year)## Df Sum Sq Mean Sq F value Pr(>F)
## factor(year) 51 4.084e+09 80080912 68.39 <2e-16 ***
## Residuals 16094 1.884e+10 1170869
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1Interpretation :- With a very small p-value (< 0.05), reject the null hypothesis. There is a significant difference in maize yield across years.
———————————————————
1.3
Simple Linear Regression:
Model Relationship Between Area and Production for Maize( Area vs. Production for Maize)
simple_regression_maize <- lm(maize_production_1000tons ~ maize_area_1000ha, data = ICRISAT)
# Summary of the model
summary(simple_regression_maize)##
## Call:
## lm(formula = maize_production_1000tons ~ maize_area_1000ha, data = ICRISAT)
##
## Residuals:
## Min 1Q Median 3Q Max
## -303.13 -6.08 1.19 1.86 1188.31
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -1.85684 0.44409 -4.181 2.91e-05 ***
## maize_area_1000ha 1.88400 0.01104 170.598 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 48.86 on 16144 degrees of freedom
## Multiple R-squared: 0.6432, Adjusted R-squared: 0.6432
## F-statistic: 2.91e+04 on 1 and 16144 DF, p-value: < 2.2e-16# Plot the regression line
ggplot(ICRISAT, aes(x = maize_area_1000ha, y = maize_production_1000tons)) +
geom_point(color = 'blue') +
geom_smooth(method = 'lm', color = 'red') +
labs(title = 'Simple Linear Regression: Maize Production vs. Area',
x = 'Maize Area (1000 ha)', y = 'Maize Production (1000 tons)') +
theme_minimal()
Interpretation: The plot shows a positive linear relationship between maize area and maize production. l As the Maize Area (x-axis) increases, the Maize Production (y-axis) also increases — points trend upward. The red line (regression line) slopes upward, showing a positive relationship.
———————————————————
1.4
Multiple Linear Regression:
Predict Yield Using Area, Production, and State (Predict Maize Yield)
multiple_regression_maize <- lm(maize_yield_kg_per_ha ~ maize_area_1000ha + maize_production_1000tons + state_name, data = ICRISAT)
# Summary of the model
summary(multiple_regression_maize)##
## Call:
## lm(formula = maize_yield_kg_per_ha ~ maize_area_1000ha + maize_production_1000tons +
## state_name, data = ICRISAT)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6330.7 -387.8 -44.3 344.2 20296.2
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2771.1755 36.7213 75.47 <2e-16 ***
## maize_area_1000ha -14.2577 0.3522 -40.48 <2e-16 ***
## maize_production_1000tons 10.4973 0.1483 70.77 <2e-16 ***
## state_nameAssam -1954.4906 52.9989 -36.88 <2e-16 ***
## state_nameBihar -1291.2931 52.7464 -24.48 <2e-16 ***
## state_nameChhattisgarh -1491.2628 61.5959 -24.21 <2e-16 ***
## state_nameGujarat -1719.7050 46.7365 -36.80 <2e-16 ***
## state_nameHaryana -1786.3246 58.6336 -30.47 <2e-16 ***
## state_nameHimachal Pradesh -1005.4017 53.1183 -18.93 <2e-16 ***
## state_nameJharkhand -1569.1894 62.5631 -25.08 <2e-16 ***
## state_nameKarnataka -587.1615 45.9422 -12.78 <2e-16 ***
## state_nameKerala -2726.8697 53.0948 -51.36 <2e-16 ***
## state_nameMadhya Pradesh -1573.6552 41.9425 -37.52 <2e-16 ***
## state_nameMaharashtra -1588.4516 43.6504 -36.39 <2e-16 ***
## state_nameOrissa -1570.9338 49.7540 -31.57 <2e-16 ***
## state_namePunjab -849.3102 51.8112 -16.39 <2e-16 ***
## state_nameRajasthan -1850.4769 44.6140 -41.48 <2e-16 ***
## state_nameTamil Nadu -1201.1451 50.4540 -23.81 <2e-16 ***
## state_nameTelangana -1063.9191 54.8296 -19.40 <2e-16 ***
## state_nameUttar Pradesh -1605.4503 41.2592 -38.91 <2e-16 ***
## state_nameUttarakhand -1768.1483 56.3370 -31.39 <2e-16 ***
## state_nameWest Bengal -1257.5091 48.1816 -26.10 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 871.1 on 16124 degrees of freedom
## Multiple R-squared: 0.4664, Adjusted R-squared: 0.4657
## F-statistic: 671 on 21 and 16124 DF, p-value: < 2.2e-16# Plot the model results for Punjab.
state_data <- subset(ICRISAT, state_name == 'Punjab')
# Plot the regression line
ggplot(state_data, aes(x = maize_area_1000ha, y = maize_yield_kg_per_ha)) +
geom_point(color = 'green') +
geom_smooth(method = 'lm', color = 'purple') +
labs(title = 'Multiple Linear Regression: Maize Yield vs. Area (Punjab)',
x = 'Maize Area (1000 ha)', y = 'Maize Yield (kg/ha)') +
theme_minimal()
Interpretation: The plot shows a negative linear relationship between maize area and maize yield. As the Maize Area (x-axis) increases, the Maize Yield (y-axis) slightly decreases — points trend downward. The purple line (regression line) slopes downward, showing a negative relationship.
———————————————————
1.5
Correlation:
Check correlation across rice, wheat, and maize — area, production, and yield.
# Select Area, Production, Yield columns for rice, wheat, maize
cereals_data <- ICRISAT[, c("rice_area_1000ha", "rice_production_1000tons", "rice_yield_kg_per_ha",
"wheat_area_1000ha", "wheat_production_1000tons", "wheat_yield_kg_per_ha",
"maize_area_1000ha", "maize_production_1000tons", "maize_yield_kg_per_ha")]
# Calculate correlation matrix
cor_cereals <- cor(cereals_data, use = "complete.obs", method = "pearson")
# Visualize
corrplot(cor_cereals, method = "color", addCoef.col = "black", number.cex = 0.7)
Interpretation: There is a strong positive correlation between area and production for all three crops (rice, wheat, and maize). Increasing the area under cultivation significantly boosts total production for each crop. Cross-crop relationships (e.g., rice vs wheat, wheat vs maize) show weak correlations. This suggests that production trends across crops are independent and not strongly linked to each other.
—————————————————
K-MEANS CLUSTERING
—————————————————
1. Identify clusters of districts based on their crop yield patterns.
# Create district-level average dataset
dist_df <- ICRISAT %>%
mutate(across(contains("YIELD"), ~ifelse(. == -1, NA, .))) %>% # replace -1 with NA
group_by(state_name, district_name) %>%
summarise(
RICE = mean(rice_yield_kg_per_ha, na.rm = TRUE),
WHEAT = mean(wheat_yield_kg_per_ha, na.rm = TRUE),
MAIZE = mean(maize_yield_kg_per_ha, na.rm = TRUE),
GROUNDNUT = mean(groundnut_yield_kg_per_ha, na.rm = TRUE)
) %>%
ungroup()
# Select numeric columns for clustering
cluster_data <- dist_df %>% select(RICE, WHEAT, MAIZE, GROUNDNUT)
# Scale the data
scaled_data <- scale(cluster_data)
set.seed(42)
km <- kmeans(scaled_data, centers = 3, nstart = 25)
# Add cluster labels to dataset
dist_df$cluster <- as.factor(km$cluster)
# For plotting
plot_df <- dist_df %>% select(cluster, RICE, WHEAT)
# --- Compute centroids ---
centroids <- plot_df %>%
group_by(cluster) %>%
summarise(
RICE = mean(RICE),
WHEAT = mean(WHEAT)
)
# --- Convex hull function ---
get_hull <- function(df) df[chull(df$RICE, df$WHEAT), ]
# --- Compute hulls ---
hulls <- plot_df %>% group_by(cluster) %>% do(get_hull(.))
# --- FINAL PLOT ---
ggplot() +
geom_polygon(data = hulls,
aes(x = RICE, y = WHEAT, fill = cluster, group = cluster),
alpha = 0.25, color = "black") +
geom_point(data = plot_df,
aes(x = RICE, y = WHEAT, color = cluster),
size = 4.2, alpha = 0.9) +
geom_point(data = centroids,
aes(x = RICE, y = WHEAT),
shape = 21, color = "black", fill = "black",
size = 5) +
geom_text(data = centroids,
aes(x = RICE, y = WHEAT, label = cluster),
vjust = -1, fontface = "bold", size = 4) +
labs(
title = "K-means Clusters with Convex Hulls (District-Level Average Yields)",
x = "Average Rice Yield (Kg per ha)",
y = "Average Wheat Yield (Kg per ha)",
color = "Cluster",
fill = "Cluster"
) +
theme_minimal()
INTERPRETATION: The K-means clustering on district-level average yields grouped the districts into three clear agricultural patterns. Cluster 1 represents districts with moderate rice but very low wheat yields, indicating rice-focused regions. Cluster 2 consists of high-performing districts with strong wheat yields and good rice productivity, typically well-irrigated wheat–rice belts. Cluster 3 covers districts with moderate rice and medium wheat yields, reflecting balanced but mid-level productivity. Overall, the clusters effectively highlight long-term differences in district-level agricultural performance.
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KNN CLASSIFICATION
—————————————————
1. Predict district productivity levels using crop yield features.
# Creating district-level average yields (Rice, Wheat, Maize, Groundnut)
knn_df <- ICRISAT %>%
# Replace -1 values with NA
mutate(across(contains("YIELD"), ~ifelse(. == -1, NA, .))) %>%
# Group by district and state
group_by(state_name, district_name) %>%
# Calculate average yields for each district
summarise(
RICE = mean(rice_yield_kg_per_ha, na.rm = TRUE),
WHEAT = mean(wheat_yield_kg_per_ha, na.rm = TRUE),
MAIZE = mean(maize_yield_kg_per_ha, na.rm = TRUE),
GROUNDNUT = mean(groundnut_yield_kg_per_ha, na.rm = TRUE)
) %>%
ungroup()
# Calculate overall average yield for classification target
knn_df <- knn_df %>%
mutate(
TOTAL_AVG = (RICE + WHEAT + MAIZE + GROUNDNUT) / 4
)
# Define cut points for class creation
low_cut <- quantile(knn_df$TOTAL_AVG, 0.33) # bottom 33%
high_cut <- quantile(knn_df$TOTAL_AVG, 0.67) # top 33%
# Create classification target variable
knn_df <- knn_df %>%
mutate(
CLASS = case_when(
TOTAL_AVG <= low_cut ~ "Low", # low productivity
TOTAL_AVG >= high_cut ~ "High", # high productivity
TRUE ~ "Medium" # middle range
)
)
# Convert CLASS to factor
knn_df$CLASS <- as.factor(knn_df$CLASS)
set.seed(42) # for reproducibility
# Create train-test split (70% training, 30% testing)
index <- createDataPartition(knn_df$CLASS, p = 0.7, list = FALSE)
train <- knn_df[index, ] # training data
test <- knn_df[-index, ] # testing data
# Prepare predictors (X variables)
train_x <- train[, c("RICE", "WHEAT", "MAIZE", "GROUNDNUT")]
test_x <- test[, c("RICE", "WHEAT", "MAIZE", "GROUNDNUT")]
# Target variable
train_y <- train$CLASS
test_y <- test$CLASS
# Train control with 5-fold cross-validation
ctrl <- trainControl(method = "cv", number = 5)
# Train KNN classification model
knn_model <- train(
CLASS ~ RICE + WHEAT + MAIZE + GROUNDNUT,
data = train,
method = "knn",
trControl = ctrl,
tuneLength = 10 # try k = 1 to 10
)
# Show the best k and accuracy results
knn_model## k-Nearest Neighbors
##
## 220 samples
## 4 predictor
## 3 classes: 'High', 'Low', 'Medium'
##
## No pre-processing
## Resampling: Cross-Validated (5 fold)
## Summary of sample sizes: 175, 177, 176, 175, 177
## Resampling results across tuning parameters:
##
## k Accuracy Kappa
## 5 0.8768076 0.8151994
## 7 0.8770143 0.8156657
## 9 0.8863167 0.8295816
## 11 0.8998567 0.8498182
## 13 0.8815645 0.8223870
## 15 0.8721611 0.8082446
## 17 0.8763989 0.8146852
## 19 0.8677167 0.8016488
## 21 0.8904534 0.8356547
## 23 0.8767066 0.8150700
##
## Accuracy was used to select the optimal model using the largest value.
## The final value used for the model was k = 11.# Predict classes for test dataset
pred <- predict(knn_model, newdata = test)
# Confusion matrix for accuracy evaluation
confusionMatrix(pred, test_y)## Confusion Matrix and Statistics
##
## Reference
## Prediction High Low Medium
## High 29 0 3
## Low 0 28 5
## Medium 1 2 23
##
## Overall Statistics
##
## Accuracy : 0.8791
## 95% CI : (0.794, 0.9381)
## No Information Rate : 0.3407
## P-Value [Acc > NIR] : < 2.2e-16
##
## Kappa : 0.8188
##
## Mcnemar's Test P-Value : NA
##
## Statistics by Class:
##
## Class: High Class: Low Class: Medium
## Sensitivity 0.9667 0.9333 0.7419
## Specificity 0.9508 0.9180 0.9500
## Pos Pred Value 0.9062 0.8485 0.8846
## Neg Pred Value 0.9831 0.9655 0.8769
## Prevalence 0.3297 0.3297 0.3407
## Detection Rate 0.3187 0.3077 0.2527
## Detection Prevalence 0.3516 0.3626 0.2857
## Balanced Accuracy 0.9587 0.9257 0.8460# Add predictions to test dataset for plotting
test$PRED_CLASS <- pred
ggplot(test, aes(x = RICE, y = WHEAT,
color = PRED_CLASS,
shape = PRED_CLASS)) +
# Filled, large, clean points
geom_point(size = 5, alpha = 0.9, stroke = 1.2) +
labs(
title = "KNN Classification Results (Test Data)",
x = "Average Rice Yield (Kg per ha)",
y = "Average Wheat Yield (Kg per ha)",
color = "Predicted Class",
shape = "Predicted Class"
) +
# Different colors for classes
scale_color_manual(values = c(
"High" = "#E74C3C", # Red
"Low" = "#27AE60", # Green
"Medium" = "#2980B9" # Blue
)) +
# Different shapes for classes (triangle, circle, square)
scale_shape_manual(values = c(
"High" = 17, # triangle
"Low" = 19, # filled circle
"Medium" = 15 # square
)) +
theme_minimal(base_size = 14) +
theme(
plot.title = element_text(size = 16, face = "bold", hjust = 0.5),
legend.title = element_text(size = 13),
legend.text = element_text(size = 12),
panel.grid.major = element_line(color = "grey85", size = 0.4),
panel.grid.minor = element_blank()
)
INTERPRETATION: The KNN classification scatter plot shows how districts are predicted into High, Medium, and Low productivity classes based on their rice and wheat yields. High-productivity districts (red triangles) appear in the upper-right region with consistently higher yields, while Low-productivity districts (green circles) cluster toward the lower-yield areas. Medium-productivity districts (blue squares) fall in the middle range, overlapping partially with both High and Low groups. The overall pattern indicates that KNN successfully separates broad productivity levels, with expected overlap in mid-yield regions due to natural similarity in agricultural performance.