天氣風險公司 天氣分析師

• 平常除了預報天氣
• 剩下預報颱風
• 一年前開始接觸R
• 開始挖坑
• 

分析好資料之後，還可以做什麼?

Dynamic Graphics

All Open-source JavaScript libraries

• leaflet
• googleVis
• dygraphs
• plotly

Geo-spatial mapping. https://rstudio.github.io/leaflet/

• Map type
• OpenStreetMap, Mapbox, and CartoDB
• Various annotations
• markers, polygons, and popups

using map

library(leaflet)
library(magrittr)

leaflet() %>% 
  addTiles() %>% 
  addPopups(121.542587, 25.033686, "We are here!") %>%
  addProviderTiles("Stamen.Watercolor") %>% 
  addCircleMarkers(121.542587, 25.033686)

• Google Charts API
• Flash player
• Not uploaded to Google

library(googleVis)

df <- data.frame(country = c("US", "GB", "BR"), val1 = c(10, 13, 14), val2 = c(23, 
    12, 32))
Combo <- gvisComboChart(df, xvar = "country", yvar = c("val1", "val2"), options = list(seriesType = "bars", 
    series = "{1: {type:\"line\"}}"))
print(Combo, "chart")

Time series charting. http://rstudio.github.io/dygraphs/index.html

• Automatically plots xts time series

library(dygraphs)
library(magrittr)

lungDeaths <- cbind(ldeaths, mdeaths, fdeaths)
dygraph(lungDeaths, main = "Deaths from Lung Disease (UK)") %>%
  dyHighlight(highlightCircleSize = 5, 
              highlightSeriesBackgroundAlpha = 0.2,
              hideOnMouseOut = FALSE) %>% 
  dyRangeSelector()

Interactive graphics with D3. https://plot.ly/r/

• easily translate ggplot2 to interactive graphics.
• supports 20 chart types, including 3D plots, geographic maps…

推薦指數

• leaflet
• googleVis
• dygraphs
• plotly