R 教程之 STEEMIT 大鲸啥时候点赞的?

R-studio

想知道你的贵人啥时候点的赞? 我们可以通过 @arcange ‘s STEEMSQL 得到点赞的时间然后通过 R 语言很轻松的画出来.

比如, 我的好基友 @tumutanzi 至从拿到 @ned 所代理的50万SP 后, 是不是像他所说的, 忙得连X生活都没有了呢? 我们可以先用 STEEMSQL 取出数据来看看:

1	select DATEPART(hour, timestamp) "hour", count(1) "count" from TxVotes where voter='tumutanzi' and datediff(day, timestamp, GetUTCDate()) between 0 and 30 group by DATEPART(hour, timestamp)

select DATEPART(hour, timestamp) "hour", count(1) "count" from TxVotes where voter='tumutanzi' and datediff(day, timestamp, GetUTCDate()) between 0 and 30 group by DATEPART(hour, timestamp)

between 0 and 30 是针对过去30天的数据, 然后我们通过 DATEPART(hour, timestamp) 来分组(按UTC时区的小时)

接下来和我们以前做的一样, 在R语言里封装一下.

votes_hour = function(id) {
  conn <- odbcDriverConnect("Driver=SQL Server Native Client 11.0;Server=sql.steemsql.com;Database=DBSteem;Uid=steemit;Pwd=steemit")
  x <- sqlQuery(conn, str_c("select DATEPART(hour, timestamp) hour, count(1) count from TxVotes where voter='", id, "' and datediff(day, timestamp, GetUTCDate()) between 0 and 30 group by DATEPART(hour, timestamp)"))
  close(conn)
  return(x)
}

我们需要传递 ID 给这个函数.

id <- "tumutanzi"
vote < - votes_hour(id)

检查一下返回的数据:

   hour count
1     1     1
2     2     5
3     3     4
4     4     7
5     5    50
6     6    74
7     7    37
8     8    77
9     9   237
10   10   136
11   11    71
12   12    53
13   13    96
14   14   223
15   15   177
16   16   220
17   17   276
18   18   297
19   19   240
20   20   494
21   21   207
22   22   176
23   23    41

如果我们想计算百分比, 我们需要把每一个次数除于所有.

total = sum(vote$count)
vote$count = vote$count / total * 100

然后在R里通过plot_ly 来画出柱状图 (bar plot):

plot_ly(x=vote$hour, y=vote$count, type="bar") %>% 
  layout(autosize = F, xaxis=list(title="Hour"), yaxis=list(title="Percentage"), title=str_c("@", id))