2019-06-12-vinos
John Blischak
2019-06-12
Last updated: 2019-06-13
Checks: 7 0
Knit directory: wflow-datos-de-miercoles/
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| Rmd | 8115b8a | John Blischak | 2019-06-13 | La correlación entre calidad y precio por viña. |
| html | d55cbc1 | John Blischak | 2019-06-12 | Build site. |
| Rmd | fc40bd1 | John Blischak | 2019-06-12 | empezar |
Introducción
Preparación
library(stringr)
library(tidyverse)
library(cowplot)
theme_set(theme_cowplot())vinos <- read_csv("data/vinos.csv")Exploración
head(vinos)# A tibble: 6 x 10
pais nombre puntos precio provincia region_1 region_2 variedad vina
<chr> <chr> <int> <int> <chr> <chr> <chr> <chr> <chr>
1 Italia Vulkà … 87 NA Sicily & … Etna <NA> Ensambl… Nico…
2 Portu… Avidag… 87 15 Douro <NA> <NA> Portugu… Quin…
3 Estad… <NA> 87 14 Oregon Willame… Willame… Pinot G… Rain…
4 Estad… Reserv… 87 13 Michigan Lake Mi… <NA> Riesling St. …
5 Estad… Vintne… 87 65 Oregon Willame… Willame… Pinot N… Swee…
6 España Ars In… 87 15 Northern … Navarra <NA> Tempran… Tand…
# ... with 1 more variable: titulo_resena <chr>plot(vinos$puntos, vinos$precio)
dim(vinos)[1] 129971 10unique(vinos$pais) [1] "Italia" "Portugal" "Estados Unidos"
[4] "España" "Francia" "Alemania"
[7] "Argentina" "Chile" "Australia"
[10] "Austria" "Sudáfrica" "Nueva Zelanda"
[13] "Israel" "Hungría" "Grecia"
[16] "Rumania" "México" "Canadá"
[19] NA "Turquía" "República Checa"
[22] "Eslovenia" "Luxemburgo" "Croacia"
[25] "Georgia" "Uruguay" "Inglaterra"
[28] "Líbano" "Serbia" "Brazil"
[31] "Moldavia" "Marruecos" "Perú"
[34] "India" "Bulgaria" "Chipre"
[37] "Armenia" "Suiza" "Bosnia y Herzegovina"
[40] "Ucrania" "Eslovaquia" "Macedonia"
[43] "China" "Egipto" head(vinos$titulo_resena)[1] "Nicosia 2013 Vulkà Bianco (Etna)"
[2] "Quinta dos Avidagos 2011 Avidagos Red (Douro)"
[3] "Rainstorm 2013 Pinot Gris (Willamette Valley)"
[4] "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)"
[5] "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)"
[6] "Tandem 2011 Ars In Vitro Tempranillo-Merlot (Navarra)" País de origen
head(vinos$pais)[1] "Italia" "Portugal" "Estados Unidos" "Estados Unidos"
[5] "Estados Unidos" "España" length(unique(vinos$pais))[1] 44table(vinos$pais, useNA = "ifany")
Alemania Argentina Armenia
2165 3800 2
Australia Austria Bosnia y Herzegovina
2329 3345 2
Brazil Bulgaria Canadá
52 141 257
Chile China Chipre
4472 1 11
Croacia Egipto Eslovaquia
73 1 1
Eslovenia España Estados Unidos
87 6645 54504
Francia Georgia Grecia
22093 86 466
Hungría India Inglaterra
146 9 74
Israel Italia Líbano
505 19540 35
Luxemburgo Macedonia Marruecos
6 12 28
México Moldavia Nueva Zelanda
70 59 1419
Perú Portugal República Checa
16 5691 12
Rumania Serbia Sudáfrica
120 12 1401
Suiza Turquía Ucrania
7 90 14
Uruguay <NA>
109 63 sum(table(vinos$pais) > 1000)[1] 12sum(is.na(vinos$pais))[1] 63Nombre del vino
head(vinos$nombre)[1] "Vulkà Bianco"
[2] "Avidagos"
[3] NA
[4] "Reserve Late Harvest"
[5] "Vintner's Reserve Wild Child Block"
[6] "Ars In Vitro" length(unique(vinos$nombre))[1] 37980# Cuantos vinos con más que 5 reseñas?
sum(table(vinos$nombre) > 5)[1] 1995sum(is.na(vinos$nombre))[1] 37465Puntos con que fue calificado (escala de 1 a 100)
head(vinos$puntos)[1] 87 87 87 87 87 87summary(vinos$puntos) Min. 1st Qu. Median Mean 3rd Qu. Max.
80.00 86.00 88.00 88.45 91.00 100.00 hist(vinos$puntos)
stopifnot(is.integer(vinos$puntos))
sum(is.na(vinos$puntos))[1] 0Precio de la botella (en dólares estadounidenses)
head(vinos$precio)[1] NA 15 14 13 65 15summary(vinos$precio) Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
4.00 17.00 25.00 35.36 42.00 3300.00 8996 hist(vinos$precio)
stopifnot(is.integer(vinos$precio))
sum(is.na(vinos$precio))[1] 8996sum(vinos$precio > 1000, na.rm = TRUE)[1] 14Variedad (por ejemplo, Pinot Noir, Cabernet Sauvignon, etc.)
head(vinos$variedad)[1] "Ensamblaje Blanco" "Portuguese Red" "Pinot Gris"
[4] "Riesling" "Pinot Noir" "Tempranillo-Merlot"length(unique(vinos$variedad))[1] 708sum(table(vinos$variedad) > 1000)[1] 28sum(is.na(vinos$variedad))[1] 1Nombre de la viña que produce el vino
head(vinos$vina)[1] "Nicosia" "Quinta dos Avidagos" "Rainstorm"
[4] "St. Julian" "Sweet Cheeks" "Tandem" length(unique(vinos$vina))[1] 16757sum(table(vinos$vina) > 100)[1] 33sum(is.na(vinos$vina))[1] 0Título de la reseña. No están traducidos al español. En la mayoría de los casos solo indica el año de cosecha y el nombre del vino
head(vinos$titulo_resena)[1] "Nicosia 2013 Vulkà Bianco (Etna)"
[2] "Quinta dos Avidagos 2011 Avidagos Red (Douro)"
[3] "Rainstorm 2013 Pinot Gris (Willamette Valley)"
[4] "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)"
[5] "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)"
[6] "Tandem 2011 Ars In Vitro Tempranillo-Merlot (Navarra)" length(unique(vinos$titulo_resena))[1] 118840sum(table(vinos$titulo_resena) > 5)[1] 13sum(is.na(vinos$titulo_resena))[1] 0Tenemos el año de cosecha, pero no el año de la reseña.
ano <- str_extract(vinos$titulo_resena, "[12][09][0-9]{2}")
ano <- as.numeric(ano)
summary(ano) Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
1000 2009 2011 2011 2013 2017 4626 hist(ano)
Limpieza
Remover las comillas en los nombres de los vinos.
vinos %>% filter(str_detect(nombre, "^‘"))# A tibble: 2 x 10
pais nombre puntos precio provincia region_1 region_2 variedad vina
<chr> <chr> <int> <int> <chr> <chr> <chr> <chr> <chr>
1 Estad… ‘Rough… 89 20 Washington Columbi… Columbi… Ensambl… Barr…
2 Estad… ‘S' 92 45 Oregon Chehale… Willame… Pinot N… Lach…
# ... with 1 more variable: titulo_resena <chr>vinos %>% filter(nombre == "'S'" | nombre == "‘S'")# A tibble: 2 x 10
pais nombre puntos precio provincia region_1 region_2 variedad vina
<chr> <chr> <int> <int> <chr> <chr> <chr> <chr> <chr>
1 Estad… 'S' 89 50 Oregon Chehalem… Willamet… Pinot N… Lach…
2 Estad… ‘S' 92 45 Oregon Chehalem… Willamet… Pinot N… Lach…
# ... with 1 more variable: titulo_resena <chr>vinos$nombre <- str_replace_all(vinos$nombre, "‘", "")
vinos$nombre <- str_replace_all(vinos$nombre, "'", "")
sum(str_detect(vinos$nombre, "‘"), na.rm = TRUE)[1] 0Guardar las viñas con más de 15 vinos con reseñas.
guarda_vinas <- vinas <- vinos %>%
select(nombre, vina) %>%
na.omit() %>%
group_by(vina) %>%
summarize(n_vinos = length(unique(nombre))) %>%
filter(n_vinos > 15)v <- vinos %>%
select(nombre, puntos, precio, variedad, vina) %>%
na.omit() %>%
semi_join(guarda_vinas, by = "vina")
dim(v)[1] 21903 5stopifnot(length(intersect(guarda_vinas$vina, v$vina)) == nrow(guarda_vinas))Calcula el promedio de las reseñas para el mismo vino:
v <- v %>%
group_by(nombre, variedad, vina) %>%
summarize(puntos = mean(puntos),
precio = mean(precio)) %>%
ungroup()La correlación entre calidad y precio por viña
v_corr <- v %>%
group_by(vina) %>%
summarize(n = n(),
corr = cor(puntos, precio))Warning in cor(puntos, precio): the standard deviation is zerop_hist <- ggplot(v_corr, aes(x = corr)) +
geom_histogram(binwidth = 0.025) +
labs(x = "Correlación entre calidad y precio",
y = "Número de viñas",
title = "Distribución de correlación por viña")
p_histWarning: Removed 1 rows containing non-finite values (stat_bin).
Lo más positivo.
(vina_pos <- v_corr %>% filter(corr == max(corr, na.rm = TRUE)))# A tibble: 1 x 3
vina n corr
<chr> <int> <dbl>
1 Marchesi di Barolo 17 0.891p_pos <- v %>%
filter(vina == vina_pos$vina) %>%
ggplot(aes(x = puntos, y = precio)) +
geom_point() +
labs(x = "Calidad (puntos 1 a 100)",
y = "Precio (USD)",
title = vina_pos$vina,
subtitle = sprintf("Correlación: %.2f", vina_pos$corr))
p_pos
Lo más negativo.
(vina_neg <- v_corr %>% filter(corr == min(corr, na.rm = TRUE)))# A tibble: 1 x 3
vina n corr
<chr> <int> <dbl>
1 Sanguis 21 -0.442p_neg <- v %>%
filter(vina == vina_neg$vina) %>%
ggplot(aes(x = puntos, y = precio)) +
geom_point() +
labs(x = "Calidad (puntos 1 a 100)",
y = "Precio (USD)",
title = vina_neg$vina,
subtitle = sprintf("Correlación: %.2f", vina_neg$corr))
p_neg
Ningún relación.
(vina_nin <- v_corr %>% filter(is.na(corr)))# A tibble: 1 x 3
vina n corr
<chr> <int> <dbl>
1 Spring Valley Vineyard 20 NAp_nin <- v %>%
filter(vina == vina_nin$vina) %>%
ggplot(aes(x = puntos, y = precio)) +
geom_point() +
labs(x = "Calidad (puntos 1 a 100)",
y = "Precio (USD)",
title = vina_nin$vina,
subtitle = "No correlación")
p_nin
plot_grid(p_hist, p_pos, p_neg, p_nin)Warning: Removed 1 rows containing non-finite values (stat_bin).
sessionInfo()R version 3.3.3 (2017-03-06)
Platform: x86_64-apple-darwin13.4.0 (64-bit)
Running under: OS X Yosemite 10.10.5
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] bindrcpp_0.2.2 cowplot_0.9.2 forcats_0.3.0 dplyr_0.7.7
[5] purrr_0.2.5 readr_1.1.1 tidyr_0.8.1 tibble_1.4.2
[9] ggplot2_3.1.0 tidyverse_1.2.1 stringr_1.4.0
loaded via a namespace (and not attached):
[1] tidyselect_0.2.3 xfun_0.3 reshape2_1.4.3
[4] haven_1.1.0 lattice_0.20-35 colorspace_1.3-2
[7] htmltools_0.3.6 yaml_2.2.0 utf8_1.1.3
[10] rlang_0.3.0.1 pillar_1.2.2 withr_2.1.2.9000
[13] foreign_0.8-69 glue_1.2.0.9000 modelr_0.1.2
[16] readxl_1.0.0 bindr_0.1.1 plyr_1.8.4
[19] munsell_0.5.0 gtable_0.2.0 workflowr_1.4.0
[22] cellranger_1.1.0 rvest_0.3.2 psych_1.8.4
[25] evaluate_0.10.1 labeling_0.3 knitr_1.21
[28] parallel_3.3.3 broom_0.4.4 Rcpp_1.0.0
[31] backports_1.1.2 scales_0.5.0 jsonlite_1.5
[34] fs_1.2.6 mnormt_1.5-5 hms_0.4.2
[37] digest_0.6.13 stringi_1.3.1 grid_3.3.3
[40] rprojroot_1.3-2 cli_1.0.0 tools_3.3.3
[43] magrittr_1.5 lazyeval_0.2.1 crayon_1.3.4
[46] whisker_0.3-2 pkgconfig_2.0.1 xml2_1.1.1
[49] lubridate_1.7.1 assertthat_0.2.0 rmarkdown_1.10.14
[52] httr_1.3.1 rstudioapi_0.8 htmldeps_0.1.1
[55] R6_2.2.2 nlme_3.1-131 git2r_0.25.2.9008