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
Data Visualization
Jolin Hsieh
2015年12月28日
Who am I ?
What can I do ?
分析好資料之後，還可以做什麼?
Dynamic Graphics
All Open-source JavaScript libraries
- leaflet
- googleVis
- dygraphs
- plotly
leaflet
Geo-spatial mapping. https://rstudio.github.io/leaflet/
- Map type
- OpenStreetMap, Mapbox, and CartoDB
- Various annotations
- markers, polygons, and popups
leaflet example
library(leaflet) library(magrittr) leaflet() %>% addTiles() %>% addPopups(121.542587, 25.033686, "We are here!") %>% addProviderTiles("Stamen.Watercolor") %>% addCircleMarkers(121.542587, 25.033686)
googleVis
- Google Charts API
- Flash player
- Not uploaded to Google
googleVis example
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")
dygraphs
Time series charting. http://rstudio.github.io/dygraphs/index.html
- Automatically plots xts time series
dygraphs example
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()
Deaths from Lung Disease (UK)
plotly
Interactive graphics with D3. https://plot.ly/r/
- easily translate ggplot2 to interactive graphics.
- supports 20 chart types, including 3D plots, geographic maps…
plotly example
compare
推薦指數
- leaflet
- googleVis
- dygraphs
- plotly