title | date | authors | ||
---|---|---|---|---|
How to use Data Packages from R |
2017-11-16 |
|
This tutorial demonstrates how to use Data Packages from R. We assume that you already know about Data Packages and its specifications.
Let's consider "VIX - CBOE Volatility Index" data here. The VIX dataset is a key measure of market expectations of near-term volatility conveyed by S&P 500 stock index option prices introduced in 1993:
https://datahub.io/core/finance-vix
There are several ways to get data in R, but in this tutorial, we are going to use robust, high performance JSON Parser jsonlite
library:
library("jsonlite")
json_file <- 'https://datahub.io/core/finance-vix/datapackage.json'
json_data <- fromJSON(paste(readLines(json_file), collapse=""))
# get list of all resources:
print(json_data$resources$name)
and you would get following table printed:
Our data is now available in different formats such as CSV, JSON, ZIP. To get it in the CSV format:
# print all tabular data(if exists any)
for(i in 1:length(json_data$resources$datahub$type)){
if(json_data$resources$datahub$type[i]=='derived/csv'){
path_to_file = json_data$resources$path[i]
data <- read.csv(url(path_to_file))
print(data)
}
}