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会员报表.Rmd
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会员报表.Rmd
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---
title: "阿里彩票"
subtitle: "会员报表报告"
author: "雷欧 <img src='figure/cd23-isqivxh1309422.jpg' width='24'>"
date: "`r lubridate::today()`"
output:
html_document:
number_sections: yes
toc: yes
toc_depth: 4
toc_float:
collapsed: yes
smooth_scroll: yes
code_folding: hide
---
```{r warning = FALSE, message=FALSE}
## leiou123
## leiou123
## https://rstudio.cloud/project/1198888
pkg <- c('plyr', 'tidyverse', 'magrittr', 'readr', 'readxl', 'tidyr',
'knitr', 'kableExtra', 'forecast', 'formattable', 'DT',
'lubridate', 'highcharter', 'htmltools', 'echarts4r')
plyr::l_ply(pkg, require, quietly = TRUE, character.only = TRUE, .print = FALSE)
```
# 数据
读取样本数据。
```{r warning = FALSE}
## 读取数据
fls <- suppressWarnings(list.files('data/会员报表'))
smp <- fls %>% llply(., function(x) {
dtt <- x %>% str_replace_all('.xls', '') %>% ymd
smpp <- read_excel(paste0('data/会员报表/', x))
data.frame('日期' = dtt, smpp)
}) %>% bind_rows %>%
as_tibble %>%
mutate('用户账号' = factor(用户账号),
'等级' = factor(等级),
'上级代理' = factor(上级代理),
'盈率' = as.numeric(percent(盈率))) %>%
mutate_if(is.character, as.numeric)
rm(fls)
smp %>% datatable(
caption = "会员报表数据",
escape = FALSE, filter = 'top', rownames = FALSE,
extensions = list('ColReorder' = NULL, 'RowReorder' = NULL,
'Buttons' = NULL, 'Responsive' = NULL),
options = list(dom = 'BRrltpi', autoWidth = TRUE, scrollX = TRUE,
lengthMenu = list(c(10, 50, 100, 500, -1),
c('10', '50', '100', '500', 'All')),
ColReorder = TRUE, rowReorder = TRUE,
buttons = list('copy', 'print',
list(extend = 'collection',
buttons = c('csv', 'excel', 'pdf'),
text = 'Download'), I('colvis'))))
```
上图显示从`r smp$'日期' %>% range %>% .[1]`到`r smp$'日期' %>% range %>% .[2]`的报表数据。
<br>
<br>
# 绘图
<br>
## 投注人数
```{r warning = FALSE, eval = FALSE, results = 'asis'}
pl1 <- smp %>%
highchart() %>%
hc_chart('line', hcaes(x = 日期, y = 投注人数, group = 彩种名称)) %>%
hc_title(text = '用户账号') %>%
hc_subtitle(text = '投注人数')
tagList(pl1)
```
```{r}
smp %>%
group_by(彩种名称) %>%
e_charts(x = 日期) %>%
e_line(投注人数, smooth = TRUE) %>%
e_datazoom(
type = 'slider',
toolbox = FALSE,
bottom = -5) %>%
e_tooltip() %>%
e_title(text = '彩种', subtext = '投注人数', left = 'center') %>%
e_axis_labels(x = '日期', y = '投注人数') %>%
e_x_axis(日期, axisPointer = list(show = TRUE)) %>%
e_legend(
orient = 'vertical',
type = c('scroll'),
#selectedMode = 'multiple', #https://echarts.apache.org/en/option.html#legend
#selected = list('彩种'),
left = 0, top = 80) %>%
e_grid(left = 150, top = 90) %>%
#e_theme('shine') %>%
e_toolbox_feature('saveAsImage', title = '截图')
```
上图显示从`r smp$'日期' %>% range %>% .[1]`到`r smp$'日期' %>% range %>% .[2]`的**投注人数**，默认设置显示所有彩种，可以点击彩种筛选焦点彩种。
<br>
## 投注金额
```{r warning = FALSE, eval = FALSE, results = 'asis'}
smp %>%
hchart('line', hcaes(x = 日期, y = 投注金额, group = 彩种名称)) %>%
hc_title(text = '彩种') %>%
hc_subtitle(text = '投注金额')
```
```{r}
smp %>%
group_by(彩种名称) %>%
e_charts(x = 日期) %>%
e_line(投注金额, smooth = TRUE) %>%
e_datazoom(
type = 'slider',
toolbox = FALSE,
bottom = -5) %>%
e_tooltip() %>%
e_title(text = '彩种', subtext = '投注金额', left = 'center') %>%
e_axis_labels(x = '日期', y = '投注金额') %>%
e_x_axis(日期, axisPointer = list(show = TRUE)) %>%
e_legend(
orient = 'vertical',
type = c('scroll'),
left = 0, top = 80) %>%
e_grid(left = 150, top = 90) %>%
#e_theme('shine') %>%
e_toolbox_feature('saveAsImage', title = '截图')
```
上图显示从`r smp$'日期' %>% range %>% .[1]`到`r smp$'日期' %>% range %>% .[2]`的**投注金额**，默认设置显示所有彩种，可以点击彩种筛选焦点彩种。
<br>
## 中奖金额
```{r warning = FALSE, eval = FALSE, results = 'asis'}
smp %>%
hchart('line', hcaes(x = 日期, y = 投注金额, group = 彩种名称)) %>%
hc_title(text = '彩种') %>%
hc_subtitle(text = '中奖金额')
```
```{r}
smp %>%
group_by(彩种名称) %>%
e_charts(x = 日期) %>%
e_line(中奖金额, smooth = TRUE) %>%
e_datazoom(
type = 'slider',
toolbox = FALSE,
bottom = -5) %>%
e_tooltip() %>%
e_title(text = '彩种', subtext = '中奖金额', left = 'center') %>%
e_axis_labels(x = '日期', y = '中奖金额') %>%
e_x_axis(日期, axisPointer = list(show = TRUE)) %>%
e_legend(
orient = 'vertical',
type = c('scroll'),
left = 0, top = 80) %>%
e_grid(left = 150, top = 90) %>%
#e_theme('shine') %>%
e_toolbox_feature('saveAsImage', title = '截图')
```
上图显示从`r smp$'日期' %>% range %>% .[1]`到`r smp$'日期' %>% range %>% .[2]`的**中奖金额**，默认设置显示所有彩种，可以点击彩种筛选焦点彩种。
<br>
## 撤单金额
```{r warning = FALSE, eval = FALSE, results = 'asis'}
smp %>%
hchart('line', hcaes(x = 日期, y = 投注金额, group = 彩种名称)) %>%
hc_title(text = '彩种') %>%
hc_subtitle(text = '撤单金额')
```
```{r}
smp %>%
group_by(彩种名称) %>%
e_charts(x = 日期) %>%
e_line(撤单金额, smooth = TRUE) %>%
e_datazoom(
type = 'slider',
toolbox = FALSE,
bottom = -5) %>%
e_tooltip() %>%
e_title(text = '彩种', subtext = '撤单金额', left = 'center') %>%
e_axis_labels(x = '日期', y = '撤单金额') %>%
e_x_axis(日期, axisPointer = list(show = TRUE)) %>%
e_legend(
orient = 'vertical',
type = c('scroll'),
left = 0, top = 80) %>%
e_grid(left = 150, top = 90) %>%
#e_theme('shine') %>%
e_toolbox_feature('saveAsImage', title = '截图')
```
上图显示从`r smp$'日期' %>% range %>% .[1]`到`r smp$'日期' %>% range %>% .[2]`的**撤单金额**，默认设置显示所有彩种，可以点击彩种筛选焦点彩种。
<br>
## 返点金额
```{r warning = FALSE, eval = FALSE, results = 'asis'}
smp %>%
hchart('line', hcaes(x = 日期, y = 投注金额, group = 彩种名称)) %>%
hc_title(text = '彩种') %>%
hc_subtitle(text = '返点金额')
```
```{r}
smp %>%
group_by(彩种名称) %>%
e_charts(x = 日期) %>%
e_line(返点金额, smooth = TRUE) %>%
e_datazoom(
type = 'slider',
toolbox = FALSE,
bottom = -5) %>%
e_tooltip() %>%
e_title(text = '彩种', subtext = '返点金额', left = 'center') %>%
e_axis_labels(x = '日期', y = '返点金额') %>%
e_x_axis(日期, axisPointer = list(show = TRUE)) %>%
e_legend(
orient = 'vertical',
type = c('scroll'),
left = 0, top = 80) %>%
e_grid(left = 150, top = 90) %>%
#e_theme('shine') %>%
e_toolbox_feature('saveAsImage', title = '截图')
```
上图显示从`r smp$'日期' %>% range %>% .[1]`到`r smp$'日期' %>% range %>% .[2]`的**返点金额**，默认设置显示所有彩种，可以点击彩种筛选焦点彩种。
<br>
## 盈利
```{r warning = FALSE, eval = FALSE, results = 'asis'}
smp %>%
hchart('line', hcaes(x = 日期, y = 投注金额, group = 彩种名称)) %>%
hc_title(text = '彩种') %>%
hc_subtitle(text = '盈利')
```
```{r}
smp %>%
group_by(彩种名称) %>%
e_charts(x = 日期) %>%
e_line(盈利, smooth = TRUE) %>%
e_datazoom(
type = 'slider',
toolbox = FALSE,
bottom = -5) %>%
e_tooltip() %>%
e_title(text = '彩种', subtext = '盈利', left = 'center') %>%
e_axis_labels(x = '日期', y = '盈利') %>%
e_x_axis(日期, axisPointer = list(show = TRUE)) %>%
e_legend(
orient = 'vertical',
type = c('scroll'),
left = 0, top = 80) %>%
e_grid(left = 150, top = 90) %>%
#e_theme('shine') %>%
e_toolbox_feature('saveAsImage', title = '截图')
```
上图显示从`r smp$'日期' %>% range %>% .[1]`到`r smp$'日期' %>% range %>% .[2]`的**盈利**，默认设置显示所有彩种，可以点击彩种筛选焦点彩种。
<br>
## 盈率
```{r warning = FALSE, eval = FALSE, results = 'asis'}
smp %>%
hchart('line', hcaes(x = 日期, y = 投注金额, group = 彩种名称)) %>%
hc_title(text = '彩种') %>%
hc_subtitle(text = '盈率')
```
```{r}
smp %>%
group_by(彩种名称) %>%
e_charts(x = 日期) %>%
e_line(盈率, smooth = TRUE) %>%
e_datazoom(
type = 'slider',
toolbox = FALSE,
bottom = -5) %>%
e_tooltip() %>%
e_title(text = '彩种', subtext = '盈率', left = 'center') %>%
e_axis_labels(x = '日期', y = '盈率') %>%
e_x_axis(日期, axisPointer = list(show = TRUE)) %>%
e_legend(
orient = 'vertical',
type = c('scroll'),
left = 0, top = 80) %>%
e_grid(left = 150, top = 90) %>%
#e_theme('shine') %>%
e_toolbox_feature('saveAsImage', title = '截图')
```
上图显示从`r smp$'日期' %>% range %>% .[1]`到`r smp$'日期' %>% range %>% .[2]`的**盈率**，默认设置显示所有彩种，可以点击彩种筛选焦点彩种。
<br>
<br>
# 结论
<br>
## 总结
以上是将数据绘图，还需要通过统计模型预测，不过基于数据观测值太少^[[binary.com Interview Question I (Extention)](https://rpubs.com/englianhu/binary-Q1E)尝试分别使用`3个月`、`6个月`、`12个月`、`18个月`和`24个月`的数据，结果`12个月`的数据最为精准。]，所以暂时没有预测。
<br>
## 附录
```{r warning = FALSE, results = 'asis'}
suppressMessages(require('dplyr', quietly = TRUE))
suppressMessages(require('formattable', quietly = TRUE))
suppressMessages(require('knitr', quietly = TRUE))
suppressMessages(require('kableExtra', quietly = TRUE))
sys1 <- devtools::session_info()$platform %>%
unlist %>% data.frame(Category = names(.), session_info = .)
rownames(sys1) <- NULL
#sys1 %<>% rbind(., data.frame(
# Category = 'Current time',
# session_info = paste(as.character(lubridate::now('Asia/Tokyo')), 'JST'))) %>%
# dplyr::filter(Category != 'os')
sys2 <- data.frame(Sys.info()) %>% mutate(Category = rownames(.)) %>% .[2:1]
names(sys2)[2] <- c('Sys.info')
rownames(sys2) <- NULL
if (nrow(sys1) == 7 & nrow(sys2) == 8) {
sys1 %<>% rbind(., data.frame(
Category = 'Current time',
session_info = paste(as.character(lubridate::now('Asia/Tokyo')), 'JST')))
} else {
sys2 %<>% rbind(., data.frame(
Category = 'Current time',
Sys.info = paste(as.character(lubridate::now('Asia/Tokyo')), 'JST')))
}
cbind(sys1, sys2) %>%
kable(caption = 'Additional session information:') %>%
kable_styling(bootstrap_options = c('striped', 'hover', 'condensed', 'responsive'))
rm(sys1, sys2)
```