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readme.rmd
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---
title: googlePublicData
output: github_document
---
An *R* package for building *Google's* _Data Sets Publication Language_ (DSPL) metadata files used in *Public Data Explorer*.
[](http://cran.rstudio.com/package=googlePublicData)
[](https://travis-ci.org/gvegayon/googlePublicData)
[](https://ci.appveyor.com/project/gvegayon/googlePublicData)
[](https://codecov.io/gh/gvegayon/googlePublicData)
Features:
* Reads tab, csv, xls and xlsx from a folder.
* Identifies data types and distinguishes between dimensional and metric concepts.
* Identifies dimensional data tabs.
* Auto generates conceps id.
* Auto data sorting on dimensional (no time) concepts.
* Prints XML and csv files to upload to Public Data Explorer.
* Some bug trackers before final printing XML.
* Builds ZIP file containing CSV and XML files.
So you don't need to mess with the XML coding at all!
```{r, split=FALSE}
library(googlePublicData)
# This path has some csv files that we will use
data.path <-try(paste(.libPaths()[1],'/googlePublicData/data',sep=''), silent=T)
data.path
# The dspl function looks for csv files in that paths, and analyzes them
mydspl <- dspl(path=data.path, sep=";")
# If we wanted to write the zip file... ready to be uploaded to
# http://publicdata.google.com
# dspl(path=data.path, sep=";", output= "mydspl.zip")
# Printing the data
mydspl
# Summary of the dspl class object
summary(mydspl)
```