project3
Amit Singh
2023-08-09
Loading Data Set from the world bank. The data is is the world development indicator
library(tidyverse)## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
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## ✔ ggplot2 3.4.2 ✔ tibble 3.2.1
## ✔ lubridate 1.9.2 ✔ tidyr 1.3.0
## ✔ purrr 1.0.1
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## ✖ dplyr::lag() masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errorssetwd("C:/Users/StarKid/Desktop/Data_Science/Data_101/week_5/project3/WDI_CSV")
econ_freedom <- read.csv("efw_cc.csv")Checking Data Set
str(econ_freedom)## 'data.frame': 3726 obs. of 36 variables:
## $ year : int 2016 2016 2016 2016 2016 2016 2016 2016 2016 2016 ...
## $ ISO_code : chr "ALB" "DZA" "AGO" "ARG" ...
## $ countries : chr "Albania" "Algeria" "Angola" "Argentina" ...
## $ ECONOMIC.FREEDOM : num 7.54 4.99 5.17 4.84 7.57 7.98 7.58 6.49 7.34 7.56 ...
## $ rank : int 34 159 155 160 29 10 27 106 49 30 ...
## $ quartile : int 1 4 4 4 1 1 1 3 2 1 ...
## $ X1a_government_consumption : num 8.23 2.15 7.6 5.34 7.26 ...
## $ X1b_transfers : num 7.51 7.82 8.89 6.05 7.75 ...
## $ X1c_gov_enterprises : int 8 0 0 6 8 10 10 0 7 10 ...
## $ X1d_top_marg_tax_rate : num 8 4.5 9.5 4 5 5 3.5 6.5 10 10 ...
## $ X1_size_government : num 7.94 3.62 6.5 5.35 7 ...
## $ X2a_judicial_independence : num 2.67 4.19 1.84 3.69 3.87 ...
## $ X2b_impartial_courts : num 3.15 4.33 1.97 2.93 4.2 ...
## $ X2c_protection_property_rights : num 4.51 4.69 2.51 4.26 5.66 ...
## $ X2d_military_interference : num 8.33 4.17 3.33 7.5 5.83 ...
## $ X2e_integrity_legal_system : num 4.17 5 4.17 3.33 5 ...
## $ X2f_legal_enforcement_contracts : num 4.39 4.51 2.3 3.63 5.2 ...
## $ X2g_restrictions_sale_real_property: num 6.49 6.63 5.46 6.86 9.8 ...
## $ X2h_reliability_police : num 6.93 6.14 3.02 3.39 5.71 ...
## $ X2i_business_costs_crime : num 6.22 6.74 4.29 4.13 7.01 ...
## $ X2j_gender_adjustment : num 0.949 0.821 0.846 0.769 1 ...
## $ X2_property_rights : num 5.07 4.69 2.96 3.9 5.81 ...
## $ X3a_money_growth : num 8.99 6.96 9.39 5.23 9.08 ...
## $ X3b_std_inflation : num 9.48 8.34 4.99 5.22 9.26 ...
## $ X3c_inflation : num 9.74 8.72 3.05 2 9.75 ...
## $ X3d_freedom_own_foreign_currency : int 10 5 5 10 10 10 10 5 0 10 ...
## $ X3_sound_money : num 9.55 7.25 5.61 5.61 9.52 ...
## $ X4a_tariffs : num 8.96 6.87 6.99 6.42 8.55 ...
## $ X4b_regulatory_trade_barriers : num 7.49 2.48 2.02 4.81 7.19 ...
## $ X4c_black_market : num 10 5.56 10 0 10 ...
## $ X4d_control_movement_capital_ppl : num 6.41 1.59 2.04 4.7 6.83 ...
## $ X4_trade : num 8.21 4.13 5.26 3.98 8.14 ...
## $ X5a_credit_market_reg : num 7.1 5.1 7.06 5.42 9.1 ...
## $ X5b_labor_market_reg : num 6.92 5.03 4.56 5.15 6.23 ...
## $ X5c_business_reg : num 6.71 5.68 4.93 5.54 6.8 ...
## $ X5_regulation : num 6.91 5.27 5.52 5.37 7.38 ...#which(is.na(econ_freedom))
summary(econ_freedom)## year ISO_code countries ECONOMIC.FREEDOM
## Min. :1970 Length:3726 Length:3726 Min. :1.970
## 1st Qu.:1995 Class :character Class :character 1st Qu.:5.855
## Median :2005 Mode :character Mode :character Median :6.680
## Mean :2001 Mean :6.520
## 3rd Qu.:2011 3rd Qu.:7.350
## Max. :2016 Max. :9.190
## NA's :723
## rank quartile X1a_government_consumption X1b_transfers
## Min. : 1.00 Min. :1.000 Min. : 0.000 Min. : 0.000
## 1st Qu.: 33.00 1st Qu.:1.000 1st Qu.: 4.450 1st Qu.: 6.208
## Median : 66.00 Median :3.000 Median : 6.082 Median : 8.432
## Mean : 68.31 Mean :2.498 Mean : 5.862 Mean : 7.673
## 3rd Qu.:102.00 3rd Qu.:3.000 3rd Qu.: 7.571 3rd Qu.: 9.482
## Max. :162.00 Max. :4.000 Max. :10.000 Max. :10.000
## NA's :723 NA's :723 NA's :589 NA's :960
## X1c_gov_enterprises X1d_top_marg_tax_rate X1_size_government
## Min. : 0.000 Min. : 0.000 Min. :0.6538
## 1st Qu.: 4.000 1st Qu.: 4.000 1st Qu.:5.2294
## Median : 7.000 Median : 6.000 Median :6.3197
## Mean : 5.738 Mean : 5.813 Mean :6.2321
## 3rd Qu.: 8.000 3rd Qu.: 8.000 3rd Qu.:7.2677
## Max. :10.000 Max. :10.000 Max. :9.9047
## NA's :646 NA's :1047 NA's :647
## X2a_judicial_independence X2b_impartial_courts X2c_protection_property_rights
## Min. :0.000 Min. :0.000 Min. : 0.000
## 1st Qu.:3.259 1st Qu.:3.352 1st Qu.: 4.093
## Median :4.698 Median :4.333 Median : 5.299
## Mean :5.019 Mean :4.675 Mean : 5.487
## 3rd Qu.:6.823 3rd Qu.:5.857 3rd Qu.: 7.058
## Max. :9.817 Max. :9.686 Max. :10.000
## NA's :1553 NA's :1179 NA's :1129
## X2d_military_interference X2e_integrity_legal_system
## Min. : 0.000 Min. : 0.000
## 1st Qu.: 4.500 1st Qu.: 4.167
## Median : 6.667 Median : 6.667
## Mean : 6.510 Mean : 6.200
## 3rd Qu.: 8.333 3rd Qu.: 8.333
## Max. :10.000 Max. :10.000
## NA's :1186 NA's :1153
## X2f_legal_enforcement_contracts X2g_restrictions_sale_real_property
## Min. :0.000 Min. :0.000
## 1st Qu.:3.376 1st Qu.:6.001
## Median :4.492 Median :7.528
## Mean :4.449 Mean :7.045
## 3rd Qu.:5.583 3rd Qu.:8.523
## Max. :8.479 Max. :9.981
## NA's :1361 NA's :1384
## X2h_reliability_police X2i_business_costs_crime X2j_gender_adjustment
## Min. :0.000 Min. :0.000 Min. :0.0000
## 1st Qu.:4.064 1st Qu.:4.641 1st Qu.:0.7931
## Median :5.321 Median :6.055 Median :0.9564
## Mean :5.505 Mean :5.904 Mean :0.8732
## 3rd Qu.:7.111 3rd Qu.:7.315 3rd Qu.:1.0000
## Max. :9.688 Max. :9.673 Max. :1.0000
## NA's :2071 NA's :2071 NA's :66
## X2_property_rights X3a_money_growth X3b_std_inflation X3c_inflation
## Min. :0.9556 Min. :0.000 Min. :0.000 Min. : 0.000
## 1st Qu.:3.9439 1st Qu.:7.867 1st Qu.:7.555 1st Qu.: 8.192
## Median :5.2306 Median :8.697 Median :8.881 Median : 9.106
## Mean :5.2529 Mean :8.235 Mean :8.008 Mean : 8.464
## 3rd Qu.:6.3925 3rd Qu.:9.256 3rd Qu.:9.404 3rd Qu.: 9.574
## Max. :9.2783 Max. :9.999 Max. :9.952 Max. :10.000
## NA's :755 NA's :644 NA's :607 NA's :607
## X3d_freedom_own_foreign_currency X3_sound_money X4a_tariffs
## Min. : 0.00 Min. :0.000 Min. : 0.000
## 1st Qu.: 0.00 1st Qu.:6.604 1st Qu.: 6.209
## Median : 5.00 Median :7.969 Median : 7.480
## Mean : 5.92 Mean :7.661 Mean : 7.079
## 3rd Qu.:10.00 3rd Qu.:9.257 3rd Qu.: 8.334
## Max. :10.00 Max. :9.922 Max. :10.000
## NA's :621 NA's :611 NA's :681
## X4b_regulatory_trade_barriers X4c_black_market
## Min. :0.000 Min. : 0.000
## 1st Qu.:5.463 1st Qu.:10.000
## Median :6.592 Median :10.000
## Mean :6.333 Mean : 9.115
## 3rd Qu.:7.516 3rd Qu.:10.000
## Max. :9.833 Max. :10.000
## NA's :1348 NA's :617
## X4d_control_movement_capital_ppl X4_trade X5a_credit_market_reg
## Min. : 0.000 Min. : 0.000 Min. : 0.000
## 1st Qu.: 2.000 1st Qu.: 5.947 1st Qu.: 6.800
## Median : 4.769 Median : 7.011 Median : 8.306
## Mean : 4.376 Mean : 6.720 Mean : 7.732
## 3rd Qu.: 6.493 3rd Qu.: 7.916 3rd Qu.: 9.333
## Max. :10.000 Max. :10.000 Max. :10.000
## NA's :592 NA's :691 NA's :619
## X5b_labor_market_reg X5c_business_reg X5_regulation
## Min. :1.837 Min. :2.010 Min. :1.002
## 1st Qu.:5.073 1st Qu.:5.387 1st Qu.:5.878
## Median :6.197 Median :6.170 Median :6.759
## Mean :6.168 Mean :6.189 Mean :6.638
## 3rd Qu.:7.344 3rd Qu.:7.007 3rd Qu.:7.486
## Max. :9.725 Max. :9.504 Max. :9.440
## NA's :1158 NA's :1402 NA's :728head(econ_freedom,10)## year ISO_code countries ECONOMIC.FREEDOM rank quartile
## 1 2016 ALB Albania 7.54 34 1
## 2 2016 DZA Algeria 4.99 159 4
## 3 2016 AGO Angola 5.17 155 4
## 4 2016 ARG Argentina 4.84 160 4
## 5 2016 ARM Armenia 7.57 29 1
## 6 2016 AUS Australia 7.98 10 1
## 7 2016 AUT Austria 7.58 27 1
## 8 2016 AZE Azerbaijan 6.49 106 3
## 9 2016 BHS Bahamas 7.34 49 2
## 10 2016 BHR Bahrain 7.56 30 1
## X1a_government_consumption X1b_transfers X1c_gov_enterprises
## 1 8.232353 7.509902 8
## 2 2.150000 7.817129 0
## 3 7.600000 8.886739 0
## 4 5.335294 6.048930 6
## 5 7.264706 7.748532 8
## 6 4.511765 6.664948 10
## 7 3.744118 3.101062 10
## 8 6.320588 7.881208 0
## 9 7.085294 9.040503 7
## 10 3.688235 9.581704 10
## X1d_top_marg_tax_rate X1_size_government X2a_judicial_independence
## 1 8.0 7.935564 2.668222
## 2 4.5 3.616782 4.186704
## 3 9.5 6.496685 1.843129
## 4 4.0 5.346056 3.689690
## 5 5.0 7.003310 3.867379
## 6 5.0 6.544178 8.766929
## 7 3.5 5.086295 7.650855
## 8 6.5 5.175449 5.676886
## 9 10.0 8.281449 NA
## 10 10.0 8.317485 6.822563
## X2b_impartial_courts X2c_protection_property_rights
## 1 3.145462 4.512228
## 2 4.327113 4.689952
## 3 1.974566 2.512364
## 4 2.930563 4.255995
## 5 4.197569 5.664317
## 6 5.610653 7.998304
## 7 5.482200 8.092565
## 8 5.861119 6.321836
## 9 6.700000 NA
## 10 6.231401 7.435713
## X2d_military_interference X2e_integrity_legal_system
## 1 8.333333 4.166667
## 2 4.166667 5.000000
## 3 3.333333 4.166667
## 4 7.500000 3.333333
## 5 5.833333 5.000000
## 6 10.000000 9.166667
## 7 10.000000 10.000000
## 8 5.000000 5.833333
## 9 10.000000 6.666667
## 10 5.000000 7.500000
## X2f_legal_enforcement_contracts X2g_restrictions_sale_real_property
## 1 4.387444 6.485287
## 2 4.507538 6.626692
## 3 2.302200 5.455882
## 4 3.632872 6.857195
## 5 5.196693 9.801963
## 6 6.025331 8.205655
## 7 6.220993 8.100494
## 8 7.252962 9.830312
## 9 4.699257 6.149350
## 10 4.785814 8.855315
## X2h_reliability_police X2i_business_costs_crime X2j_gender_adjustment
## 1 6.933500 6.215401 0.9487179
## 2 6.136845 6.737383 0.8205128
## 3 3.016104 4.291197 0.8461538
## 4 3.385786 4.133832 0.7692308
## 5 5.714028 7.007654 1.0000000
## 6 8.707445 6.790183 1.0000000
## 7 8.501867 7.194909 1.0000000
## 8 6.170495 7.280192 0.7179487
## 9 NA NA 0.9459459
## 10 7.764706 7.287250 0.5365854
## X2_property_rights X3a_money_growth X3b_std_inflation X3c_inflation
## 1 5.071814 8.986454 9.484575 9.74360
## 2 4.690743 6.955962 8.339152 8.72046
## 3 2.963635 9.385679 4.986742 3.05400
## 4 3.904030 5.233264 5.224079 2.00000
## 5 5.809215 9.078264 9.263496 9.74600
## 6 7.919019 8.564838 9.500704 9.74462
## 7 7.915987 8.033869 9.875451 9.82200
## 8 5.652732 9.240398 6.649350 9.16420
## 9 6.658107 8.654101 8.975514 9.93080
## 10 5.265602 9.961596 8.215418 9.44040
## X3d_freedom_own_foreign_currency X3_sound_money X4a_tariffs
## 1 10 9.553657 8.963556
## 2 5 7.253894 6.872533
## 3 5 5.606605 6.989244
## 4 10 5.614336 6.421600
## 5 10 9.521940 8.547556
## 6 10 9.452540 8.820000
## 7 10 9.432830 8.266133
## 8 5 7.513487 7.973778
## 9 0 6.890104 3.253067
## 10 10 9.404353 8.523200
## X4b_regulatory_trade_barriers X4c_black_market
## 1 7.489905 10.00000
## 2 2.481294 5.56391
## 3 2.024949 10.00000
## 4 4.811105 0.00000
## 5 7.194410 10.00000
## 6 7.427103 10.00000
## 7 8.254011 10.00000
## 8 6.799052 10.00000
## 9 8.105925 10.00000
## 10 6.295595 10.00000
## X4d_control_movement_capital_ppl X4_trade X5a_credit_market_reg
## 1 6.406138 8.214900 7.098562
## 2 1.590362 4.127025 5.100509
## 3 2.044823 5.264754 7.064905
## 4 4.697482 3.982547 5.419820
## 5 6.830998 8.143241 9.102046
## 6 3.859781 7.526721 9.576358
## 7 5.906786 8.106733 9.129015
## 8 4.093268 7.216525 7.467778
## 9 5.384615 6.685902 8.622733
## 10 4.794819 7.403403 7.609167
## X5b_labor_market_reg X5c_business_reg X5_regulation
## 1 6.916278 6.705863 6.906901
## 2 5.029513 5.676956 5.268992
## 3 4.560325 4.930271 5.518500
## 4 5.151405 5.535831 5.369019
## 5 6.234630 6.797530 7.378069
## 6 7.698589 8.121631 8.465526
## 7 5.565118 7.419870 7.371334
## 8 6.076782 7.080078 6.874880
## 9 8.361606 7.523034 8.169125
## 10 6.619418 8.018774 7.415786glimpse(econ_freedom)## Rows: 3,726
## Columns: 36
## $ year <int> 2016, 2016, 2016, 2016, 2016, 2016…
## $ ISO_code <chr> "ALB", "DZA", "AGO", "ARG", "ARM",…
## $ countries <chr> "Albania", "Algeria", "Angola", "A…
## $ ECONOMIC.FREEDOM <dbl> 7.54, 4.99, 5.17, 4.84, 7.57, 7.98…
## $ rank <int> 34, 159, 155, 160, 29, 10, 27, 106…
## $ quartile <int> 1, 4, 4, 4, 1, 1, 1, 3, 2, 1, 3, 3…
## $ X1a_government_consumption <dbl> 8.232353, 2.150000, 7.600000, 5.33…
## $ X1b_transfers <dbl> 7.509902, 7.817129, 8.886739, 6.04…
## $ X1c_gov_enterprises <int> 8, 0, 0, 6, 8, 10, 10, 0, 7, 10, 7…
## $ X1d_top_marg_tax_rate <dbl> 8.0, 4.5, 9.5, 4.0, 5.0, 5.0, 3.5,…
## $ X1_size_government <dbl> 7.935564, 3.616782, 6.496685, 5.34…
## $ X2a_judicial_independence <dbl> 2.6682218, 4.1867042, 1.8431292, 3…
## $ X2b_impartial_courts <dbl> 3.145462, 4.327113, 1.974566, 2.93…
## $ X2c_protection_property_rights <dbl> 4.512228, 4.689952, 2.512364, 4.25…
## $ X2d_military_interference <dbl> 8.333333, 4.166667, 3.333333, 7.50…
## $ X2e_integrity_legal_system <dbl> 4.166667, 5.000000, 4.166667, 3.33…
## $ X2f_legal_enforcement_contracts <dbl> 4.3874441, 4.5075380, 2.3022004, 3…
## $ X2g_restrictions_sale_real_property <dbl> 6.485287, 6.626692, 5.455882, 6.85…
## $ X2h_reliability_police <dbl> 6.933500, 6.136845, 3.016104, 3.38…
## $ X2i_business_costs_crime <dbl> 6.215401, 6.737383, 4.291197, 4.13…
## $ X2j_gender_adjustment <dbl> 0.9487179, 0.8205128, 0.8461538, 0…
## $ X2_property_rights <dbl> 5.071814, 4.690743, 2.963635, 3.90…
## $ X3a_money_growth <dbl> 8.986454, 6.955962, 9.385679, 5.23…
## $ X3b_std_inflation <dbl> 9.484575, 8.339152, 4.986742, 5.22…
## $ X3c_inflation <dbl> 9.743600, 8.720460, 3.054000, 2.00…
## $ X3d_freedom_own_foreign_currency <int> 10, 5, 5, 10, 10, 10, 10, 5, 0, 10…
## $ X3_sound_money <dbl> 9.553657, 7.253894, 5.606605, 5.61…
## $ X4a_tariffs <dbl> 8.963556, 6.872533, 6.989244, 6.42…
## $ X4b_regulatory_trade_barriers <dbl> 7.489905, 2.481294, 2.024949, 4.81…
## $ X4c_black_market <dbl> 10.00000, 5.56391, 10.00000, 0.000…
## $ X4d_control_movement_capital_ppl <dbl> 6.406138, 1.590362, 2.044823, 4.69…
## $ X4_trade <dbl> 8.214900, 4.127025, 5.264754, 3.98…
## $ X5a_credit_market_reg <dbl> 7.098562, 5.100509, 7.064905, 5.41…
## $ X5b_labor_market_reg <dbl> 6.916278, 5.029513, 4.560325, 5.15…
## $ X5c_business_reg <dbl> 6.705863, 5.676956, 4.930271, 5.53…
## $ X5_regulation <dbl> 6.906901, 5.268992, 5.518500, 5.36…Question 1
1. A metadata listing for each variable. In other words, list the names of the variables, types, and brief descriptions of values if needed. This answer is just text – no code needed.
#### This dataset is from the faiser insitute which studies economic freedoms around the globe. They are divided in 5 Area's and each Area is indicated by its number and letter. For example 1a, 1b, 1c, 2a, 2b, and etc. The data is a collection of 3 years from 2016-2018. There are 36 variables and 3724 rows. These variables and there respected observations are listed below
## Area 1: Size of Goverment
#### 1a Goverment Consumpiton 1b Transfer, 1c Goverment Enterprises 1d Top Margin Tax Rate 1_ Size of Goverment
## Area 2: Legal System and Property Rights
#### 2a Judicial Independence, 2b Impartial Courts, 2c Proptection Propertiy Rights, 2d Military Interference, 2e Integreity Legal System, 2f Legal Enforcement Contracts, 2g Restrictions Sales Real Property, 2h Reliability Police, 2i Business Cost Crime, 2j Gender Adjustments, 2_ Property Rights
## Area 3: Sound Money
#### 3a Money Growth, 3b Standard Inflations, 3c Inflation, 3d Freddom Own Foreign Currency 3_ Sound Money
## Area 4: Freedom To Trade Internationally
#### 4a Tariffs, 4b Regulatory Trade Barriers, 4c Black Markets, 4d Control Movement Captial 4_ Trade
## Area 5: Regulation
#### 5a Credit Market Regulation 5b Labor Market Regulation 5c Business Regulation 5_ RegulationQuestion 2
2. Summary statistics: mean, median, mode, min, max, count and standard deviation for 2-3 key quantitative variables.
ECONOMIC FREEDOM- Mean, Median, Mode, Min, Max, Count, and Standard Deviation
# Economic Freedom
summary(econ_freedom$ECONOMIC.FREEDOM)## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 1.970 5.855 6.680 6.520 7.350 9.190 723# Mean
mean(econ_freedom$ECONOMIC.FREEDOM, na.rm = TRUE)## [1] 6.51964# Median
median(econ_freedom$ECONOMIC.FREEDOM, na.rm = TRUE)## [1] 6.68# Mode
df <- econ_freedom$ECONOMIC.FREEDOM
getmode <- function(df) {
uniqv <- na.omit(unique(df))
uniqv[which.max(tabulate(match(df, uniqv)))]
}
result <-getmode(df)
print(result)## [1] 7.32# Minimum
min(econ_freedom$ECONOMIC.FREEDOM, na.rm = TRUE)## [1] 1.97# Maximum
max(econ_freedom$ECONOMIC.FREEDOM, na.rm = TRUE)## [1] 9.19# Count
econ_freedom %>%
count(ECONOMIC.FREEDOM)## ECONOMIC.FREEDOM n
## 1 1.97 1
## 2 2.47 1
## 3 2.66 1
## 4 2.71 1
## 5 2.74 1
## 6 2.75 1
## 7 2.83 1
## 8 2.84 1
## 9 2.87 1
## 10 2.88 1
## 11 2.90 1
## 12 2.93 1
## 13 2.96 3
## 14 3.01 1
## 15 3.03 1
## 16 3.10 1
## 17 3.12 2
## 18 3.13 1
## 19 3.16 1
## 20 3.20 1
## 21 3.21 2
## 22 3.25 1
## 23 3.27 1
## 24 3.28 2
## 25 3.29 1
## 26 3.32 2
## 27 3.33 1
## 28 3.34 2
## 29 3.41 1
## 30 3.44 1
## 31 3.45 1
## 32 3.46 1
## 33 3.49 1
## 34 3.50 3
## 35 3.51 2
## 36 3.52 3
## 37 3.53 3
## 38 3.55 1
## 39 3.58 1
## 40 3.59 3
## 41 3.60 2
## 42 3.64 1
## 43 3.65 1
## 44 3.68 1
## 45 3.69 2
## 46 3.71 2
## 47 3.72 1
## 48 3.73 2
## 49 3.74 2
## 50 3.75 1
## 51 3.79 3
## 52 3.81 5
## 53 3.82 2
## 54 3.83 1
## 55 3.85 1
## 56 3.86 1
## 57 3.87 3
## 58 3.89 1
## 59 3.91 1
## 60 3.92 3
## 61 3.93 1
## 62 3.94 1
## 63 3.96 1
## 64 3.97 1
## 65 3.98 1
## 66 3.99 1
## 67 4.01 1
## 68 4.03 1
## 69 4.04 3
## 70 4.06 1
## 71 4.07 2
## 72 4.08 2
## 73 4.09 1
## 74 4.11 1
## 75 4.12 1
## 76 4.15 1
## 77 4.17 1
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## 431 7.78 2
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## 434 7.81 9
## 435 7.82 1
## 436 7.83 2
## 437 7.84 3
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## 439 7.86 6
## 440 7.87 7
## 441 7.88 7
## 442 7.89 5
## 443 7.90 6
## 444 7.91 7
## 445 7.92 1
## 446 7.93 5
## 447 7.94 2
## 448 7.95 3
## 449 7.96 8
## 450 7.97 5
## 451 7.98 8
## 452 7.99 3
## 453 8.00 4
## 454 8.01 9
## 455 8.02 6
## 456 8.03 4
## 457 8.04 2
## 458 8.05 3
## 459 8.06 4
## 460 8.07 5
## 461 8.08 5
## 462 8.09 1
## 463 8.11 1
## 464 8.12 3
## 465 8.13 4
## 466 8.14 1
## 467 8.15 2
## 468 8.16 2
## 469 8.17 3
## 470 8.18 5
## 471 8.19 1
## 472 8.20 3
## 473 8.21 2
## 474 8.22 4
## 475 8.23 1
## 476 8.24 1
## 477 8.25 2
## 478 8.26 3
## 479 8.27 2
## 480 8.29 1
## 481 8.30 2
## 482 8.31 1
## 483 8.33 1
## 484 8.34 3
## 485 8.37 2
## 486 8.39 4
## 487 8.40 1
## 488 8.41 1
## 489 8.42 4
## 490 8.43 1
## 491 8.44 1
## 492 8.45 1
## 493 8.46 2
## 494 8.47 3
## 495 8.48 7
## 496 8.49 3
## 497 8.50 1
## 498 8.52 1
## 499 8.55 1
## 500 8.56 2
## 501 8.58 1
## 502 8.62 1
## 503 8.64 3
## 504 8.67 1
## 505 8.70 1
## 506 8.72 1
## 507 8.73 3
## 508 8.76 2
## 509 8.77 1
## 510 8.79 1
## 511 8.80 2
## 512 8.81 1
## 513 8.84 4
## 514 8.85 1
## 515 8.88 1
## 516 8.89 1
## 517 8.91 1
## 518 8.92 2
## 519 8.96 3
## 520 8.97 2
## 521 8.98 1
## 522 8.99 1
## 523 9.00 1
## 524 9.02 1
## 525 9.05 1
## 526 9.09 1
## 527 9.11 2
## 528 9.16 1
## 529 9.19 1
## 530 NA 723# Standard deviation
sd(econ_freedom$ECONOMIC.FREEDOM, na.rm = TRUE)## [1] 1.133638JUDICIAL INDEPENDENCE - Mean, Median, Mode, Min, Max, Count, and Standard Deviation
# JUDICIAL INDEPENDENCE
summary(econ_freedom$X2a_judicial_independence)## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 0.000 3.259 4.698 5.019 6.823 9.817 1553# Mean
mean(econ_freedom$X2a_judicial_independence, na.rm = TRUE)## [1] 5.019474# Median
median(econ_freedom$X2a_judicial_independence, na.rm = TRUE)## [1] 4.698028# Mode
df2 <- econ_freedom$X2a_judicial_independence
getmode <- function(df2) {
uniqv <- na.omit(unique(df2))
uniqv[which.max(tabulate(match(df2, uniqv)))]
}
result2 <-getmode(df2)
print(result2)## [1] 5# Minimum
min(econ_freedom$X2a_judicial_independence, na.rm = TRUE)## [1] 0# Maximum
max(econ_freedom$X2a_judicial_independence, na.rm = TRUE)## [1] 9.816667# Count
econ_freedom %>%
count(X2a_judicial_independence)## X2a_judicial_independence n
## 1 0.0000000 2
## 2 0.1666667 3
## 3 0.1885711 1
## 4 0.1887273 1
## 5 0.1920619 1
## 6 0.2128107 1
## 7 0.2167672 1
## 8 0.3076923 1
## 9 0.3135119 1
## 10 0.3333333 1
## 11 0.3589744 1
## 12 0.3639847 1
## 13 0.4540352 1
## 14 0.4609929 1
## 15 0.4861110 1
## 16 0.5238095 1
## 17 0.6284859 1
## 18 0.6666667 2
## 19 0.7279693 1
## 20 0.7438396 1
## 21 0.7511351 1
## 22 0.8095238 1
## 23 0.8333333 1
## 24 0.9139824 1
## 25 0.9556840 1
## 26 0.9562561 2
## 27 0.9617053 1
## 28 0.9689923 1
## 29 0.9722223 1
## 30 0.9915612 1
## 31 1.0000000 1
## 32 1.0459134 2
## 33 1.0795455 1
## 34 1.0808352 1
## 35 1.0817056 1
## 36 1.0844444 1
## 37 1.0952381 1
## 38 1.1121654 1
## 39 1.1311508 2
## 40 1.1433481 1
## 41 1.1481400 1
## 42 1.1538501 1
## 43 1.1639152 1
## 44 1.1659473 1
## 45 1.1666667 2
## 46 1.1890782 1
## 47 1.2082951 1
## 48 1.2284750 1
## 49 1.2784988 1
## 50 1.2847222 1
## 51 1.2849567 1
## 52 1.2962895 1
## 53 1.3162331 1
## 54 1.3258245 1
## 55 1.3333333 3
## 56 1.3378822 1
## 57 1.3522013 1
## 58 1.3585979 1
## 59 1.3639090 1
## 60 1.3809524 1
## 61 1.3958333 1
## 62 1.4319764 1
## 63 1.4616953 1
## 64 1.4619883 1
## 65 1.4952764 1
## 66 1.5000000 4
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## 119 1.8750000 1
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## 139 1.9936797 1
## 140 2.0000000 6
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## 1885 NA 1553# Standard deviation
sd(econ_freedom$X2a_judicial_independence, na.rm = TRUE)## [1] 2.24967QUESTION 3
A frequency distribution and relative frequency distribution for a key categorical variable
library ('data.table')##
## Attaching package: 'data.table'## The following objects are masked from 'package:lubridate':
##
## hour, isoweek, mday, minute, month, quarter, second, wday, week,
## yday, year## The following objects are masked from 'package:dplyr':
##
## between, first, last## The following object is masked from 'package:purrr':
##
## transposelibrary(lattice)
# Frequency Distribution
freq <- table(econ_freedom$ECONOMIC.FREEDOM)
barplot(freq)
# Relative Frequency
relative_freq <- table(freq) / length(freq) *100
relative_freq## freq
## 1 2 3 4 5 6 7
## 22.4952741 10.9640832 9.2627599 7.5614367 5.2930057 6.2381853 6.2381853
## 8 9 10 11 12 13 14
## 4.5368620 5.1039698 5.6710775 4.7258979 3.7807183 1.8903592 2.2684310
## 15 16 17 18 19 20 21
## 1.7013233 0.9451796 0.5671078 0.1890359 0.1890359 0.1890359 0.1890359histogram(econ_freedom$ECONOMIC.FREEDOM)
QUESTION 4
4. A contingency table for two categorical variables.
setwd("C:/Users/StarKid/Desktop/Data_Science/Data_101/week_5/project3/WDI_CSV")
nba <- read.csv("all_seasons.csv")
str(nba)## 'data.frame': 12305 obs. of 22 variables:
## $ X : int 0 1 2 3 4 5 6 7 8 9 ...
## $ player_name : chr "Dennis Rodman" "Dwayne Schintzius" "Earl Cureton" "Ed O'Bannon" ...
## $ team_abbreviation: chr "CHI" "LAC" "TOR" "DAL" ...
## $ age : num 36 28 39 24 34 38 25 28 29 28 ...
## $ player_height : num 198 216 206 203 206 ...
## $ player_weight : num 99.8 117.9 95.3 100.7 108.9 ...
## $ college : chr "Southeastern Oklahoma State" "Florida" "Detroit Mercy" "UCLA" ...
## $ country : chr "USA" "USA" "USA" "USA" ...
## $ draft_year : chr "1986" "1990" "1979" "1995" ...
## $ draft_round : chr "2" "1" "3" "1" ...
## $ draft_number : chr "27" "24" "58" "9" ...
## $ gp : int 55 15 9 64 27 52 80 77 71 82 ...
## $ pts : num 5.7 2.3 0.8 3.7 2.4 8.2 17.2 14.9 5.7 6.9 ...
## $ reb : num 16.1 1.5 1 2.3 2.4 2.7 4.1 8 1.6 1.5 ...
## $ ast : num 3.1 0.3 0.4 0.6 0.2 1 3.4 1.6 1.3 3 ...
## $ net_rating : num 16.1 12.3 -2.1 -8.7 -11.2 4.1 4.1 3.3 -0.3 -1.2 ...
## $ oreb_pct : num 0.186 0.078 0.105 0.06 0.109 0.034 0.035 0.095 0.036 0.018 ...
## $ dreb_pct : num 0.323 0.151 0.102 0.149 0.179 0.126 0.091 0.183 0.076 0.081 ...
## $ usg_pct : num 0.1 0.175 0.103 0.167 0.127 0.22 0.209 0.222 0.172 0.177 ...
## $ ts_pct : num 0.479 0.43 0.376 0.399 0.611 0.541 0.559 0.52 0.539 0.557 ...
## $ ast_pct : num 0.113 0.048 0.148 0.077 0.04 0.102 0.149 0.087 0.141 0.262 ...
## $ season : chr "1996-97" "1996-97" "1996-97" "1996-97" ...draft_percollege <- table(nba$college, nba$draft_round)
#view(draft_percollege)
table(nba$college, nba$draft_round)##
## 0 1 2 3 4 6 7
## 0 4 0 0 0 0 0
## 0 0 1 0 0 0 0
## Alabama 0 77 18 0 0 0 0
## Alabama-Birmingham 0 0 1 0 0 0 0
## Alabama A&M 0 0 0 0 0 0 0
## Alabama Huntsville 1 0 0 0 0 0 0
## Albany State (GA) 0 0 0 0 0 0 0
## American International 0 0 0 0 0 0 5
## American University 0 0 0 0 0 0 0
## Arizona 3 186 77 0 0 0 0
## Arizona St. 0 0 0 0 0 0 0
## Arizona State 0 26 24 0 0 0 0
## Arkansas 0 61 21 0 0 0 0
## Arkansas-Little Rock 0 18 0 0 0 1 0
## Auburn 0 28 7 0 0 0 0
## Auburn-Montgomery 0 0 0 0 0 0 0
## Augsburg 0 11 0 0 0 0 0
## Augusta State 0 0 0 0 0 0 0
## Augustana (SD) 0 0 0 0 0 0 0
## Austin Peay 0 0 10 0 0 0 0
## Ball State 0 10 0 0 0 0 0
## Barton Community College 0 2 0 0 0 0 0
## Baylor 0 31 16 0 0 0 0
## Belmont 0 2 0 0 0 0 0
## Blinn 0 0 0 0 0 0 0
## Boise State 0 4 0 0 0 0 0
## Boston College 0 44 16 0 0 0 0
## Boston U. 0 0 0 0 0 0 0
## Bowling Green 0 13 7 0 0 0 0
## Bradley 0 18 0 0 0 0 0
## Brigham Young 0 18 2 0 0 0 0
## Brigham Young-Hawaii 0 0 0 0 0 0 0
## Bucknell 0 0 9 0 0 0 0
## Butler 0 12 8 0 0 0 0
## Butler Community College 0 0 14 0 0 0 0
## Cal-Santa Barbara 0 0 0 0 0 0 0
## Cal Poly 0 0 0 0 0 0 0
## Cal State-Bakersfield 0 0 1 0 0 0 0
## Cal State-Fullerton 0 0 8 0 0 0 0
## Cal State-Long Beach 0 0 3 0 0 0 0
## Cal State-San Bernardino 0 0 0 0 0 0 0
## California 0 61 44 0 0 0 0
## California-Berkeley 0 0 0 0 0 0 0
## California-Irvine 0 0 0 0 0 0 0
## California-Los Angeles 0 1 2 0 0 0 0
## California-Santa Barbara 0 7 3 0 0 0 0
## California State-Long Beach 0 0 2 0 0 0 0
## Campbell University 0 0 0 0 0 0 0
## Centenary (LA) 0 1 0 0 0 0 0
## Central Arkansas 0 8 0 0 0 0 0
## Central Connecticut State 0 0 1 0 0 0 0
## Central Florida 0 0 2 0 1 0 0
## Central Michigan 0 19 0 0 0 0 0
## Central Oklahoma 0 0 0 0 0 0 0
## Central State (OH) 0 2 0 0 0 0 0
## Chicago St. 0 0 0 0 0 0 0
## Cincinnati 0 52 37 0 0 0 0
## Clemson 0 38 24 0 0 0 0
## Cleveland State 0 6 0 0 0 0 0
## Colgate 0 12 0 0 0 0 0
## College of Charleston 0 0 19 0 0 0 0
## Colorado 0 44 11 0 0 0 0
## Colorado State 0 11 0 0 0 0 0
## Connecticut 0 176 33 0 0 0 0
## Coppin State 0 0 0 0 0 0 0
## Cornell 0 0 0 0 0 0 0
## Creighton 0 16 25 0 0 0 0
## Davidson 0 13 0 0 0 0 0
## Dayton 0 2 3 0 0 0 0
## Delaware 0 0 0 0 0 0 0
## Delaware State 0 0 0 0 0 0 0
## Delta State 0 0 0 0 0 0 0
## Denver 0 0 0 0 0 0 0
## DePaul 0 49 17 0 0 0 0
## Detroit Mercy 0 0 16 1 0 0 0
## Drexel 0 0 13 0 0 0 0
## Duke 0 283 62 0 0 0 0
## Duquesne 0 0 1 0 0 0 0
## East Carolina 0 3 0 0 0 0 0
## Eastern Illinois 0 0 1 0 0 0 0
## Eastern Michigan 0 0 11 0 0 0 0
## Eastern Washington 0 10 0 0 0 0 0
## Fairfield 0 0 0 0 0 0 0
## Fayetteville State 0 0 0 0 0 0 0
## Florida 0 110 43 0 0 0 0
## Florida A&M 0 0 9 0 0 0 0
## Florida Gulf Coast 0 0 0 0 0 0 0
## Florida International 0 0 0 0 0 0 0
## Florida State 0 67 22 0 0 0 0
## Fordham 0 0 0 0 0 0 0
## Fresno State 0 26 24 0 0 0 0
## George Mason 0 0 0 0 0 0 0
## George Washington 0 2 0 1 0 0 0
## Georgetown 0 100 39 0 0 0 0
## Georgia 0 29 18 0 0 0 0
## Georgia Institute of Technology 0 1 0 0 0 0 0
## Georgia Southern 0 0 0 0 0 0 0
## Georgia State 0 4 0 0 0 0 0
## Georgia Tech 0 141 16 0 0 0 0
## Gonzaga 1 49 15 0 0 0 0
## Grand Canyon 0 0 0 0 0 0 0
## Hampton 0 0 3 0 0 0 0
## Hartford 0 10 0 0 0 0 0
## Harvard 0 0 0 0 0 0 0
## Hawaii 0 0 0 0 0 0 0
## Hofstra 0 7 3 0 0 0 0
## Holy Cross 0 0 0 0 0 0 0
## Houston 0 11 18 0 0 0 0
## Idaho 0 0 3 0 0 0 0
## Illinois 0 58 10 0 0 0 0
## Illinois State 0 0 0 0 0 0 0
## Indian Hills Community College 0 0 1 0 0 0 0
## Indiana 0 92 18 0 0 0 0
## Indiana-Purdue Fort Wayne 0 0 0 0 0 0 0
## Indiana-Purdue Indianapolis 0 3 0 0 0 0 0
## Indiana Purdue-Indianapolis 0 9 0 0 0 0 0
## Iona 0 0 0 0 0 0 0
## Iowa 0 17 16 1 0 0 0
## Iowa State 0 37 37 0 0 0 0
## Jackson State 0 14 0 0 0 0 0
## Jacksonville 0 6 0 0 0 0 0
## Jacksonville State 0 0 0 0 1 0 0
## Kansas 0 215 43 0 0 0 0
## Kansas State 0 17 12 0 0 0 0
## Kent State 0 0 0 0 0 0 0
## Kentucky 0 318 62 0 0 0 0
## La Salle 0 1 20 0 0 0 0
## Lamar 0 0 0 0 0 0 0
## Le Moyne 0 7 0 0 0 0 0
## Lebanon Valley 0 0 0 0 0 0 0
## Lehigh 0 9 0 0 0 0 0
## Liberty 0 0 0 0 0 0 0
## Lincoln Memorial 0 0 0 0 0 0 0
## Lipscomb 0 0 0 0 0 0 0
## Long Beach State 0 0 24 0 0 0 0
## Long Island-Brooklyn 0 0 0 0 0 0 0
## Longwood 0 0 5 0 0 0 0
## Louisana-Lafayette 0 5 0 0 0 0 0
## Louisiana-Lafayette 0 3 4 0 0 0 0
## Louisiana-Monroe 0 0 1 0 0 0 0
## Louisiana State 0 54 57 0 0 0 0
## Louisiana Tech 0 8 28 0 0 0 0
## Louisville 0 69 20 0 0 0 0
## Loyola-Maryland 0 1 0 0 0 0 0
## Loyola (IL) 0 0 0 0 0 0 0
## LSU 0 0 1 0 0 0 0
## Manhattan 0 0 1 0 0 0 0
## Marist 0 4 0 0 0 0 0
## Marquette 0 35 47 0 0 0 0
## Marshall 0 0 13 0 0 0 0
## Maryland 0 75 50 0 0 0 0
## Massachusetts 0 17 4 0 0 0 0
## Master's 0 0 0 0 0 0 0
## McNeese State 0 3 0 0 0 0 0
## Memphis 0 73 35 0 0 0 0
## Mercer 0 0 0 6 0 0 0
## Meridian Community College 0 0 0 0 0 0 0
## Miami 0 5 8 0 0 0 0
## Miami (FL) 0 19 15 0 0 0 0
## Miami (Fla.) 0 0 0 0 0 0 0
## Miami (OH) 0 15 0 0 0 0 0
## Michigan 0 145 26 0 0 0 0
## Michigan State 0 107 46 0 0 0 0
## Midland 0 0 2 0 0 0 0
## Midwestern State 0 0 0 0 0 0 0
## Minnesota 0 53 12 0 0 0 0
## Mississippi 0 0 7 0 0 0 0
## Mississippi State 0 19 12 0 0 0 0
## Missouri 0 50 9 0 0 0 0
## Missouri-Kansas City 0 2 0 0 0 0 0
## Missouri State 0 0 4 0 0 0 0
## Molloy 0 0 0 0 0 0 0
## Montana 0 0 1 0 0 0 0
## Montana State 0 0 0 0 0 0 0
## Montevallo 0 0 0 0 0 0 0
## Morehead State 0 8 1 0 0 0 0
## Morehouse 0 0 0 0 0 0 0
## Mt. San Antonio 0 0 0 0 0 0 0
## Murray State 0 10 16 0 0 0 0
## Navy 0 7 0 0 0 0 0
## Nebraska 0 23 1 0 0 0 0
## Nebraska-Lincoln 0 0 3 0 0 0 0
## Nevada 0 20 14 0 0 0 0
## Nevada-Las Vegas 0 67 2 0 0 0 0
## Nevada-Reno 0 6 4 0 0 0 0
## New Mexico 0 40 3 0 0 0 0
## New Mexico State 0 6 7 0 0 0 0
## New Orleans 0 10 2 0 0 0 0
## Nicholls State 0 0 0 0 0 0 0
## No College 0 1 1 0 0 0 0
## None 0 1103 452 0 0 1 0
## Norfolk State 0 0 8 0 0 0 0
## North Carolina 0 288 33 0 0 0 0
## North Carolina-Charlotte 0 4 1 0 0 0 0
## North Carolina-Wilmington 0 0 1 0 0 0 0
## North Carolina State 0 40 20 0 1 0 0
## North Dakota 0 0 1 0 0 0 0
## North Texas 0 0 1 0 0 0 0
## Northeast Mississippi Community College 0 4 0 0 0 0 0
## Northeastern 0 0 0 0 0 0 0
## Northern Arizona 0 0 1 0 0 0 0
## Northern Illinois 0 0 0 0 0 0 0
## Northwest Florida State 0 4 0 0 0 0 0
## Northwestern 0 0 4 0 0 0 0
## Northwestern Oklahoma 0 0 1 0 0 0 0
## Northwestern State 0 0 0 0 0 0 0
## Notre Dame 0 44 13 2 0 2 0
## Oakland 0 0 1 0 0 0 0
## Ohio 0 8 2 0 0 0 0
## Ohio State 0 75 24 0 0 0 0
## Ohio U. 0 0 0 0 0 0 0
## Oklahoma 0 33 20 1 0 0 0
## Oklahoma State 0 51 6 0 0 0 0
## Old Dominion 0 9 4 0 0 0 0
## Oral Roberts 0 0 3 0 0 0 0
## Oregon 0 46 20 0 0 0 0
## Oregon State 0 37 0 0 0 0 0
## Pacific 0 9 0 0 0 0 0
## Penn State 0 0 10 1 0 0 0
## Pennsylvania 0 0 1 0 0 0 0
## Pepperdine 0 14 3 0 0 0 0
## Pfeiffer 0 0 0 0 0 0 0
## Pittsburgh 0 14 30 0 0 0 0
## Portland 0 0 0 0 0 0 0
## Portland State 0 0 0 0 0 0 0
## Princeton 0 0 0 0 0 0 0
## Providence 0 48 17 0 0 0 0
## Purdue 0 13 43 0 0 0 0
## Radford 0 0 0 0 0 0 0
## Rhode Island 0 14 12 0 0 0 0
## Rice 0 5 0 0 0 0 0
## Richmond 0 0 9 0 0 0 0
## Rider 0 8 0 0 0 0 0
## Robert Morris (IL) 0 0 0 0 0 0 0
## Rutgers 0 3 3 0 0 0 0
## S.E. Missouri 0 0 0 0 0 0 0
## Saint Joseph's 0 22 0 0 0 0 0
## Saint Louis 0 13 0 0 0 0 0
## Saint Mary's (CA) 0 0 8 0 0 0 0
## Saint Rose 0 0 0 0 0 0 0
## Saint Vincent 0 0 0 0 0 0 0
## San Diego State 0 15 6 0 0 0 0
## San Jose State 0 6 0 0 0 0 0
## Santa Clara 0 18 0 0 0 0 0
## Seton Hall 0 30 3 0 0 0 0
## Seward County Community College 0 0 1 0 0 0 0
## Shaw 0 0 8 0 0 0 0
## Siena 0 0 0 0 0 0 0
## South Carolina 0 6 8 0 0 0 0
## South Carolina State 0 0 0 0 0 0 0
## South Carolina Upstate 0 0 0 0 0 0 0
## South Dakota State 0 0 3 0 0 0 0
## South Florida 0 3 8 0 0 0 0
## Southeastern Illinois 0 0 2 0 0 0 0
## Southeastern Oklahoma State 0 0 4 0 0 0 0
## Southern 0 0 4 0 0 0 0
## Southern California 0 58 22 0 0 0 0
## Southern Illinois 0 0 5 0 0 0 0
## Southern Methodist 0 2 14 0 0 0 0
## Southern Mississippi 0 9 0 0 0 0 0
## St. Bonaventure 0 5 0 0 0 0 0
## St. John's 0 3 0 0 0 0 0
## St. John's (NY) 0 52 10 0 0 0 0
## St. John's, N.Y. 0 2 0 0 0 0 0
## St. Joseph's (PA) 0 3 0 0 0 0 0
## St. Louis 0 0 0 0 0 0 0
## St. Mary's (CA) 0 0 2 0 0 0 0
## St. Mary's (TX) 0 0 0 0 0 0 0
## St.Mary's College of California 0 0 3 0 0 0 0
## Stanford 0 85 32 0 0 0 0
## Stetson 0 0 0 0 0 0 0
## Stony Brook, N.Y. 0 0 0 0 0 0 0
## Syracuse 0 108 38 0 0 0 0
## TCU 0 2 0 0 0 0 0
## Temple 0 33 13 0 0 0 0
## Tennessee 1 33 20 0 0 0 0
## Tennessee-Chattanooga 0 3 3 0 0 0 0
## Tennessee-Martin 0 0 4 0 0 0 0
## Tennessee State 0 6 0 6 0 0 0
## Tennessee Tech 0 0 1 0 0 0 0
## Texas 0 93 30 0 0 0 0
## Texas-Arlington 0 0 1 0 0 0 0
## Texas-Austin 0 26 5 0 0 0 0
## Texas-El Paso 0 7 18 0 0 0 0
## Texas-San Antonio 0 0 0 0 0 0 0
## Texas A&M 0 14 24 0 0 0 0
## Texas Christian 0 17 6 0 0 0 0
## Texas Legends 0 0 0 0 0 0 0
## Texas State 0 13 0 0 0 0 0
## Texas Tech 0 19 11 0 0 0 0
## Thomas More 0 0 0 0 0 0 0
## Toledo 0 0 1 0 0 0 0
## Towson 0 0 0 0 0 0 0
## Trinity Valley Community College 0 7 0 0 0 0 0
## Truman State 0 0 0 0 0 0 0
## Tulane 0 0 8 0 0 0 0
## Tulsa 0 0 11 0 0 0 0
## UCF 0 0 0 0 0 0 0
## UCLA 0 161 118 0 2 0 0
## UNC 0 1 0 0 0 0 0
## University of California, Berkeley 0 0 2 0 0 0 0
## University of Colorado Boulder 0 0 1 0 0 0 0
## University of Dayton 0 0 1 0 0 0 0
## University of Texas at Austin 0 5 0 0 0 0 0
## UNLV 0 2 4 0 0 0 0
## USC 0 8 2 0 0 0 0
## Utah 0 70 2 0 0 0 0
## Utah State 0 0 3 0 0 0 0
## Utah Valley 0 0 0 0 0 0 0
## Va Commonwealth 0 0 0 0 0 0 0
## Valparaiso 0 6 1 0 0 0 0
## Vanderbilt 0 28 12 0 0 0 0
## Venezuela 0 0 0 0 0 0 0
## Vermont 0 0 0 0 0 0 0
## Villanova 0 71 37 0 0 0 0
## Virginia 0 31 38 0 0 0 0
## Virginia Commonwealth 0 12 0 0 0 0 0
## Virginia Military Institute 0 0 0 0 0 0 0
## Virginia Tech 0 9 10 0 0 0 0
## Virginia Tech 0 0 0 0 0 0 0
## Virginia Union 0 8 0 0 0 0 0
## Wake Forest 0 102 9 0 0 0 0
## Walsh 0 0 1 0 0 0 0
## Washington 0 79 24 0 0 0 0
## Washington State 0 9 9 1 0 0 0
## Weber State 0 10 2 0 0 0 0
## West Florida 0 0 9 0 0 0 0
## West Virginia 0 2 8 0 0 0 0
## West Virginia Tech 0 0 0 0 0 1 0
## Westchester CC NY 0 0 0 0 0 0 0
## Western Carolina 0 12 1 0 0 0 0
## Western Kentucky 0 12 13 0 0 0 0
## Western Michigan 0 0 0 0 0 0 0
## Wheeling Jesuit 0 0 0 0 0 0 0
## Wichita State 0 10 2 0 0 0 0
## William & Mary 0 0 0 0 0 0 0
## William Paterson 0 0 0 0 0 0 0
## Wingate 0 0 0 0 0 0 0
## Wisc.-Green Bay 0 0 0 0 0 0 0
## Wisconsin 0 46 8 0 0 0 0
## Wisconsin-Green Bay 0 0 1 0 0 0 0
## Wisconsin-Stevens Point 0 6 0 0 0 0 0
## Wright State 0 11 0 0 0 0 0
## Wyoming 0 23 2 0 0 0 0
## Xavier 0 51 16 0 0 0 0
## Yale 0 0 3 0 7 0 0
## Yonsei (KOR) 0 0 2 0 0 0 0
##
## 8 Undrafted
## 0 0
## 0 0
## Alabama 0 24
## Alabama-Birmingham 0 6
## Alabama A&M 0 1
## Alabama Huntsville 0 1
## Albany State (GA) 2 0
## American International 0 0
## American University 0 2
## Arizona 0 13
## Arizona St. 0 1
## Arizona State 0 10
## Arkansas 0 23
## Arkansas-Little Rock 0 7
## Auburn 0 17
## Auburn-Montgomery 0 4
## Augsburg 0 0
## Augusta State 0 1
## Augustana (SD) 0 1
## Austin Peay 0 1
## Ball State 0 2
## Barton Community College 0 0
## Baylor 0 22
## Belmont 0 6
## Blinn 0 15
## Boise State 0 12
## Boston College 0 1
## Boston U. 0 2
## Bowling Green 0 4
## Bradley 0 0
## Brigham Young 0 5
## Brigham Young-Hawaii 0 1
## Bucknell 0 0
## Butler 0 4
## Butler Community College 0 0
## Cal-Santa Barbara 0 4
## Cal Poly 0 3
## Cal State-Bakersfield 0 0
## Cal State-Fullerton 0 18
## Cal State-Long Beach 0 0
## Cal State-San Bernardino 0 2
## California 0 10
## California-Berkeley 0 3
## California-Irvine 0 2
## California-Los Angeles 0 0
## California-Santa Barbara 0 7
## California State-Long Beach 0 0
## Campbell University 0 1
## Centenary (LA) 0 3
## Central Arkansas 0 0
## Central Connecticut State 0 3
## Central Florida 0 3
## Central Michigan 0 1
## Central Oklahoma 0 5
## Central State (OH) 0 0
## Chicago St. 0 1
## Cincinnati 0 14
## Clemson 0 6
## Cleveland State 0 1
## Colgate 0 0
## College of Charleston 0 2
## Colorado 0 7
## Colorado State 0 9
## Connecticut 0 21
## Coppin State 0 1
## Cornell 0 1
## Creighton 0 14
## Davidson 0 3
## Dayton 0 11
## Delaware 0 1
## Delaware State 0 6
## Delta State 0 3
## Denver 0 1
## DePaul 0 10
## Detroit Mercy 0 7
## Drexel 0 3
## Duke 0 39
## Duquesne 0 12
## East Carolina 0 1
## Eastern Illinois 0 0
## Eastern Michigan 0 15
## Eastern Washington 0 1
## Fairfield 0 1
## Fayetteville State 0 12
## Florida 0 35
## Florida A&M 0 0
## Florida Gulf Coast 0 3
## Florida International 0 21
## Florida State 0 9
## Fordham 0 5
## Fresno State 0 20
## George Mason 0 1
## George Washington 0 12
## Georgetown 0 18
## Georgia 0 13
## Georgia Institute of Technology 0 0
## Georgia Southern 0 9
## Georgia State 0 0
## Georgia Tech 0 33
## Gonzaga 0 17
## Grand Canyon 0 2
## Hampton 0 1
## Hartford 0 0
## Harvard 0 9
## Hawaii 0 14
## Hofstra 0 1
## Holy Cross 0 3
## Houston 0 41
## Idaho 0 0
## Illinois 0 4
## Illinois State 0 1
## Indian Hills Community College 0 0
## Indiana 0 11
## Indiana-Purdue Fort Wayne 0 3
## Indiana-Purdue Indianapolis 0 0
## Indiana Purdue-Indianapolis 0 0
## Iona 0 5
## Iowa 0 29
## Iowa State 0 17
## Jackson State 0 3
## Jacksonville 0 0
## Jacksonville State 0 0
## Kansas 0 20
## Kansas State 0 18
## Kent State 0 2
## Kentucky 0 40
## La Salle 0 7
## Lamar 0 4
## Le Moyne 0 0
## Lebanon Valley 0 1
## Lehigh 0 0
## Liberty 0 1
## Lincoln Memorial 0 1
## Lipscomb 0 3
## Long Beach State 0 2
## Long Island-Brooklyn 0 2
## Longwood 0 0
## Louisana-Lafayette 0 0
## Louisiana-Lafayette 0 1
## Louisiana-Monroe 0 0
## Louisiana State 0 32
## Louisiana Tech 0 1
## Louisville 0 8
## Loyola-Maryland 0 0
## Loyola (IL) 0 1
## LSU 0 0
## Manhattan 0 0
## Marist 0 0
## Marquette 0 26
## Marshall 0 0
## Maryland 0 3
## Massachusetts 0 2
## Master's 0 2
## McNeese State 0 4
## Memphis 0 17
## Mercer 0 0
## Meridian Community College 0 5
## Miami 0 0
## Miami (FL) 0 3
## Miami (Fla.) 0 1
## Miami (OH) 0 8
## Michigan 0 17
## Michigan State 0 26
## Midland 0 0
## Midwestern State 0 1
## Minnesota 0 5
## Mississippi 0 3
## Mississippi State 0 2
## Missouri 0 9
## Missouri-Kansas City 0 0
## Missouri State 0 3
## Molloy 0 3
## Montana 0 1
## Montana State 0 3
## Montevallo 0 1
## Morehead State 0 1
## Morehouse 0 1
## Mt. San Antonio 0 2
## Murray State 0 6
## Navy 0 0
## Nebraska 0 24
## Nebraska-Lincoln 0 0
## Nevada 0 3
## Nevada-Las Vegas 0 29
## Nevada-Reno 0 4
## New Mexico 0 2
## New Mexico State 0 10
## New Orleans 0 0
## Nicholls State 0 3
## No College 0 0
## None 0 233
## Norfolk State 0 0
## North Carolina 0 23
## North Carolina-Charlotte 0 2
## North Carolina-Wilmington 0 3
## North Carolina State 0 12
## North Dakota 0 0
## North Texas 0 0
## Northeast Mississippi Community College 0 0
## Northeastern 0 14
## Northern Arizona 0 0
## Northern Illinois 0 4
## Northwest Florida State 0 0
## Northwestern 0 2
## Northwestern Oklahoma 0 0
## Northwestern State 0 1
## Notre Dame 0 23
## Oakland 0 4
## Ohio 0 0
## Ohio State 0 7
## Ohio U. 0 1
## Oklahoma 0 1
## Oklahoma State 0 27
## Old Dominion 0 11
## Oral Roberts 0 2
## Oregon 0 10
## Oregon State 0 14
## Pacific 0 1
## Penn State 0 11
## Pennsylvania 0 9
## Pepperdine 0 6
## Pfeiffer 0 5
## Pittsburgh 0 8
## Portland 0 1
## Portland State 0 7
## Princeton 0 4
## Providence 0 9
## Purdue 0 16
## Radford 0 3
## Rhode Island 0 4
## Rice 0 12
## Richmond 0 0
## Rider 0 0
## Robert Morris (IL) 0 3
## Rutgers 0 0
## S.E. Missouri 0 2
## Saint Joseph's 0 8
## Saint Louis 0 2
## Saint Mary's (CA) 0 4
## Saint Rose 0 1
## Saint Vincent 0 4
## San Diego State 0 6
## San Jose State 0 0
## Santa Clara 0 1
## Seton Hall 0 15
## Seward County Community College 0 0
## Shaw 0 0
## Siena 0 1
## South Carolina 0 12
## South Carolina State 0 2
## South Carolina Upstate 0 5
## South Dakota State 0 0
## South Florida 0 11
## Southeastern Illinois 0 0
## Southeastern Oklahoma State 0 0
## Southern 0 8
## Southern California 0 20
## Southern Illinois 0 15
## Southern Methodist 0 9
## Southern Mississippi 0 2
## St. Bonaventure 0 5
## St. John's 0 2
## St. John's (NY) 0 10
## St. John's, N.Y. 0 3
## St. Joseph's (PA) 0 6
## St. Louis 0 2
## St. Mary's (CA) 0 2
## St. Mary's (TX) 0 2
## St.Mary's College of California 0 2
## Stanford 0 4
## Stetson 0 3
## Stony Brook, N.Y. 0 1
## Syracuse 0 10
## TCU 0 4
## Temple 0 22
## Tennessee 0 14
## Tennessee-Chattanooga 0 1
## Tennessee-Martin 0 0
## Tennessee State 0 10
## Tennessee Tech 0 0
## Texas 0 13
## Texas-Arlington 0 0
## Texas-Austin 0 0
## Texas-El Paso 0 6
## Texas-San Antonio 0 8
## Texas A&M 0 18
## Texas Christian 0 0
## Texas Legends 0 1
## Texas State 0 0
## Texas Tech 0 13
## Thomas More 0 1
## Toledo 0 0
## Towson 0 7
## Trinity Valley Community College 0 0
## Truman State 0 2
## Tulane 0 7
## Tulsa 0 12
## UCF 0 1
## UCLA 0 26
## UNC 0 0
## University of California, Berkeley 0 0
## University of Colorado Boulder 0 0
## University of Dayton 0 2
## University of Texas at Austin 0 0
## UNLV 0 14
## USC 0 3
## Utah 0 2
## Utah State 0 1
## Utah Valley 0 12
## Va Commonwealth 0 5
## Valparaiso 0 1
## Vanderbilt 0 5
## Venezuela 0 2
## Vermont 0 2
## Villanova 0 19
## Virginia 0 17
## Virginia Commonwealth 0 9
## Virginia Military Institute 0 7
## Virginia Tech 0 8
## Virginia Tech 0 2
## Virginia Union 0 19
## Wake Forest 0 20
## Walsh 0 0
## Washington 0 20
## Washington State 0 11
## Weber State 0 9
## West Florida 0 0
## West Virginia 0 2
## West Virginia Tech 0 0
## Westchester CC NY 0 2
## Western Carolina 0 0
## Western Kentucky 0 0
## Western Michigan 0 4
## Wheeling Jesuit 0 1
## Wichita State 0 14
## William & Mary 0 2
## William Paterson 0 1
## Wingate 0 3
## Wisc.-Green Bay 0 2
## Wisconsin 0 11
## Wisconsin-Green Bay 0 2
## Wisconsin-Stevens Point 0 0
## Wright State 0 0
## Wyoming 0 13
## Xavier 0 20
## Yale 0 0
## Yonsei (KOR) 0 0QUESTION 5
#1 bar graph and 1 pie chart for two of your categorical variables. (A bar graph for one variable and a pie chart for the second variable.) Label your plots!
#college = as.numeric(nba$college)
barplot(table(nba$country),
ylab= "How many from country",
xlab= "Country")
# Frequency chart
barplot(table(nba$draft_round), legend = TRUE,
ylab = "How many drafted",
xlab = "Which Round they get drafted in")
#draft1 <- nba %>%
# filter(draft_year == "1984") %>%
#filter(draft_round == 1)
#pie
pie(nba$age)
pie(table(nba$age), main = "Age of Nba Players")
Question # 6
2 histograms and 2 boxplots for two quantitative variables. (Both a histogram and boxplot for each variable.) Label your plots!
# histogram 1
histogram(econ_freedom$ECONOMIC.FREEDOM, xlab = "Economic Freedom", ylab = "Rating", main= "Economic Freedom Index")
# Histogram 2
histogram(econ_freedom$X2a_judicial_independence, xlab = "Judicial Independence", ylab = "Ratings", main = "Judicial Indepence Ratings in Economic Freedom Index Data Set")
#boxplot #1
boxplot(econ_freedom$ECONOMIC.FREEDOM, col = "lightgreen", xlab = "Economic Freedom", ylab = "Ratings", main = "Economic Freedom Index BoxPlot")
#boxplot #2
boxplot(econ_freedom$X2e_integrity_legal_system, col = "lightgreen", xlab = "Integrity of The Legal System", ylab = "Ratings", main = "Integrity Legal Systems BoxPlot")