group 14
10/05/2016
Описание данных:
subset_14.json
meta_14.json
ggplot(a, aes(month, count)) + geom_point() + xlab("Year") + theme_classic() + theme(axis.text.x = element_text(angle = 30, hjust = 1))
wordcloud(corp, random.order=F, scale = c(8, .3), rot.per = .15, max.words=100)
wordcloud(d$word, d$freq, scale = c(8, .3), min.freq = 2, max.words = 100, random.order = T, rot.per = .15, colors = pal, vfont = c("sans serif", "plain"))
ggplot(alldata) +
geom_boxplot(aes(y=salesRank[[1]], x=factor(overall))) +
labs(x='Rating of the product', y='Sales rank')
ggplot(alldata) +
geom_boxplot(aes(y=price, x=factor(overall))) +
labs(x='Rating of the product', y='Price') +
lims(y=c(0, 70))
цвет - поставленные оценки
ggplot(alldata, aes(price, salesRank$Books)) +
geom_point(aes(color = overall)) + labs(x='Price', y='Sales')
Wilson score
\[ \frac{\hat{p}+\frac{z^2}{2n} - z*\sqrt{\frac{\hat{p}*(1-\hat{p})+\frac{z^2}{4n}}{n}}}{1+\frac{z^2}{n}} \]
reviewer
1 Mary Lins
2 William Merrill "eclecticist"
3 "switterbug" Betsey Van Horn
4 Goldengate "Goldengate"
5 Robert W. Kellemen "Doc. K."
6 Mary Lins
summary helpfullRank
1 Expert Storyteller/Enthralling Tale! 6714.2344
2 Fiendishly clever mystery novel 4465.0274
3 It's not what you think. It's more than you know. 2528.9739
4 Entertaining - evokes the South at a point in time 2169.7237
5 Incredible Journey Into the Dark Night of the Soul 454.5112
6 Too Much of the Same 391.1423
цвет узлов - поставленные оценки
g <- delete.vertices(g, which(degree(g) == 0))
plot(g,
vertex.size=degree(g)/2,
vertex.label = NA,
vertex.color = data_overall$overall,
edge.arrow.size=0.1,
layout=layout.kamada.kawai)
Убираем из предыдущего графа книги, чье degree больше 10
g3<-delete.vertices(g,which(degree(g)>=10))
plot(g3,
vertex.size=degree(g3)/2,
vertex.label = NA,
vertex.color = data_overall$overall,
edge.arrow.size=0.1,
layout=layout.kamada.kawai)
Убираем из предыдущего графа книги, чье degree больше 5
g4 <- delete.vertices(g,which(degree(g)>=5))
plot(g4,
vertex.size=degree(g4)/2,
vertex.label = NA,
vertex.color = data_overall$overall,
edge.arrow.size=0.1,
layout=layout.kamada.kawai)
g <- delete.vertices(g, which(degree(g) == 0))
plot(g,
vertex.size=log(degree(g)),
vertex.label = NA,
edge.arrow.size=0.1,
vertex.color = data_overall$overall,
layout=layout.kamada.kawai)