Confession, I know absolutly nothing about wine. Recently I joined a tasting, tasted some wine liked some, hated others. If you are like me, how on earth are you going to impress a date with your exquisite taste?
Let’s fake it till we make it!
Let’s look at th ratings first.
highrating = data %>% filter(data$points > 98) %>% select(points,price,title)
highrating %>% as.data.frame() %>% head()
## points price
## 1 100 350
## 2 99 125
## 3 99 94
## 4 100 210
## 5 99 235
## 6 100 259
## title
## 1 Chambers Rosewood Vineyards NV Rare Muscat (Rutherglen)
## 2 Quilceda Creek 2008 Cabernet Sauvignon (Columbia Valley (WA))
## 3 Williams Selyem 2009 Precious Mountain Vineyard Pinot Noir (Sonoma Coast)
## 4 Avignonesi 1995 Occhio di Pernice (Vin Santo di Montepulciano)
## 5 Tenuta San Guido 2012 Sassicaia (Bolgheri Sassicaia)
## 6 Krug 2002 Brut (Champagne)
Okay, even though I would still like to impress my date. I don’t have money to blow. So lets look at the cheap wines with the highest rating.
highrating %>% arrange(price) %>% head()
## # A tibble: 6 x 3
## points price title
## <dbl> <dbl> <chr>
## 1 99 44 Failla 2010 Estate Vineyard Chardonnay (Sonoma Coast)
## 2 99 75 Cayuse 2009 En Chamberlin Vineyard Syrah (Walla Walla Valley (OR…
## 3 99 75 Williams Selyem 2010 Hirsch Vineyard Pinot Noir (Sonoma Coast)
## 4 99 75 Cayuse 2011 En Chamberlin Vineyard Syrah (Walla Walla Valley (OR…
## 5 100 80 Charles Smith 2006 Royal City Syrah (Columbia Valley (WA))
## 6 100 80 Cayuse 2008 Bionic Frog Syrah (Walla Walla Valley (WA))
Nice! It looks like we have ourselves a winner! The Failla 2010 Estate Vineyard Chardonnay seems reasonability priced, compared to the others, and received 99/100 points.
myimg <- load.image("/Users/mickbrown/Documents/Personal/R-projects/wine.png")
plot(myimg)
You’re welcome!