open-welfare

Month: 2016-11

2016-11-05

edsolitude 23:38:03
@edsolitude has joined the channel
sfwang 23:39:09
@sfwang has joined the channel
edwardtsai 23:39:12
@edwardtsai has joined the channel
shuching 23:39:13
@shuching has joined the channel
pjw319 23:39:22
@pjw319 has joined the channel
eric810905 23:39:35
@eric810905 has joined the channel
changyajune 23:39:37
@changyajune has joined the channel
edsolitude 23:39:52
this is Ed
pjw319 23:40:04
this is James
sfwang 23:40:06
this is SF
eric810905 23:40:14
I am Eric.
edwardtsai 23:41:56
This is Edward
ruannner 23:41:56
@ruannner has joined the channel
ruannner 23:56:39
this is Victor

2016-11-06

ruannner 01:38:11
shinyServer(
pageWithSidebar(
headerPanel("台灣縣市福利政策"),

# In SidebarPanel:
# Dropbox as selectInput
# Slider as sliderInput
sidebarPanel(
selectInput("Areas", "Please Select Area",
choices=c("台北市","新北市","桃園市","台中市","台南市","高雄市")),
sliderInput("Budget", "Please Select Budget: ",
min=100,max=5000,value=1000,step=100)


),

mainPanel("Main Panel")
)
)
edwardtsai 01:45:35
http://www.stat.gov.tw/mp.asp?mp=4

stat.gov.tw

中華民國統計資訊網(專業人士)

Statistical Information Network of the Republic of China This website serves as a national statistical portal of the Republic of China. The website is responsible for collecting, compiling and disseminating the nation's statistical information and presenting it in the form of the latest economic and social indicators, updated reports, analysis and statistical publications.

edsolitude 01:59:21
API
pjw319 02:26:32
內政部社會經濟統計:
ruannner 02:34:53
library(shiny)
#import dataset
data <- read.csv("data.csv")

shinyServer(
function(input, output, session){

data$var<- switch(input$var,
"Nanny" = data$nanny,
"Child Care" = data$childCare,
"Subsidy" = data$subsidy)

output$text <- renderText({
amount <- as.numeric(data$var)
paste("Amount is", amount)
})

}
)
ruannner 04:16:50
https://github.com/g0v/twgeojson/blob/master/README.md

GitHub

g0v/twgeojson

twgeojson - geojson data for Taiwan

ruannner 04:35:16
https://github.com/rcatlord/crime_analysis/

GitHub

rcatlord/crime_analysis

crime_analysis - Crime analysis in R

edsolitude 21:57:02
@sfwang 太強了!!!!
sfwang 22:17:00
出生率資料來源, 但好像只有月出生率
eric810905 22:17:08
👍
eric810905 22:33:23
台東的成長率怎麼那麼高?
eric810905 22:33:39
人口成長%
sfwang 22:37:32
表格有錯
sfwang 22:37:36
我來改吧
sfwang 22:43:14
改好了
edsolitude 23:11:25
哪一年要標

2016-11-07

ernestojc 10:01:28
@ernestojc has joined the channel
eric810905 14:21:34
code和檔案要放到那個github上面呢?

2016-11-17

ralflin 13:42:42
@ralflin has joined the channel

2016-11-24

doulos 15:24:28
@doulos has joined the channel