从Web CSV导入到数据框？

Question

我从链接Hearthstone Arena Card Pickup probability中获得了一个CSV文件

现在这只是向量列表，我想转换成9列数据框。因此可能看起来像：

我当前的代码如下，但是根本不起作用。

hsd <- read.csv("hearthstonedraw.csv", header = TRUE)
hsd1 <- as.data.frame(hsd,ncol = 9)
hsd1

Answer 1

答案发给了莫里斯·埃弗斯（Maurits Evers）和亚当·桑普森（Adam Sampson）。 read.csv可以从您指定的地址读取内容，并自动将character列转换为因子（默认行为）以及计算列数。

hsd1 <- read.csv("https://bnetcmsus-a.akamaihd.net/cms/gallery/LN4X4GN4W59R1532566073433.csv", header = TRUE)
str(hsd1)
# 'data.frame': 3931 obs. of  9 variables:
#  $ Draft.Class : Factor w/ 9 levels "Druid","Hunter",..: 1 1 1 1 1 1 1 1 1 1 ...
#  $ Card.Name   : Factor w/ 995 levels "Abominable Bowman",..: 716 813 646 500 263 964 549 186 509 984 ...
#  $ Rarity      : Factor w/ 5 levels "basic","common",..: 1 1 2 2 2 1 1 2 5 2 ...
#  $ Type        : Factor w/ 3 levels "Minion","Spell",..: 2 2 2 2 1 2 2 1 2 2 ...
#  $ Card.Class  : Factor w/ 10 levels "druid","hunter",..: 1 1 1 1 1 1 1 1 1 1 ...
#  $ Average     : num  1.47 1.45 1.44 1.17 1.03 ...
#  $ P.1.or.more.: num  0.78 0.776 0.774 0.696 0.649 ...
#  $ P.2.or.more.: num  0.436 0.431 0.428 0.327 0.273 ...
#  $ P.3.or.more.: num  0.1784 0.1757 0.1724 0.1081 0.0819 ...
ncol(hsd1)
# [1] 9
# There are 9 columns in the data frame