https://github.com/gvegayon/googlepublicdata

An R package to build Google's Public Data Explorer DSPL Metadata files
https://github.com/gvegayon/googlepublicdata

dspl gapminder google google-public-data r-package xml

Last synced: 4 months ago
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An R package to build Google's Public Data Explorer DSPL Metadata files

• Host: GitHub
• URL: https://github.com/gvegayon/googlepublicdata
• Owner: gvegayon
• License: other
• Created: 2015-03-24T15:19:43.000Z (almost 10 years ago)
• Default Branch: master
• Last Pushed: 2021-06-06T07:25:52.000Z (over 3 years ago)
• Last Synced: 2024-09-26T15:47:57.072Z (5 months ago)
• Topics: dspl, gapminder, google, google-public-data, r-package, xml
• Language: R
• Homepage:
• Size: 1.25 MB
• Stars: 8
• Watchers: 2
• Forks: 3
• Open Issues: 1
• Metadata Files:
  • Readme: readme.md
  • Changelog: ChangeLog
  • License: LICENSE

Awesome Lists containing this project

README

        
googlePublicData

================

An *R* package for building *Google's* *Data Sets Publication Language* (DSPL) metadata files used in *Public Data Explorer*.

[![Downloads](http://cranlogs.r-pkg.org/badges/googlePublicData?color=brightgreen)](http://cran.rstudio.com/package=googlePublicData) [![Travis-CI Build Status](https://travis-ci.org/gvegayon/googlePublicData.svg?branch=master)](https://travis-ci.org/gvegayon/googlePublicData) [![AppVeyor Build Status](https://ci.appveyor.com/api/projects/status/github/gvegayon/googlePublicData?branch=master&svg=true)](https://ci.appveyor.com/project/gvegayon/googlePublicData) [![codecov](https://codecov.io/gh/gvegayon/googlePublicData/branch/master/graph/badge.svg)](https://codecov.io/gh/gvegayon/googlePublicData)

[![Grand total](http://cranlogs.r-pkg.org/badges/grand-total/googlePublicData)](https://cran.r-project.org/package=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

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

```

    ## [1] "/home/george/R/x86_64-pc-linux-gnu-library/3.4/googlePublicData/data"

``` r

# The dspl function looks for csv files in that paths, and analyzes them

mydspl <- dspl(path=data.path, sep=";")

```

    ## 6 files found...

    ## /home/george/R/x86_64-pc-linux-gnu-library/3.4/googlePublicData/data/countries.csv analyzed correctly

    ## /home/george/R/x86_64-pc-linux-gnu-library/3.4/googlePublicData/data/country_slice.csv analyzed correctly

    ## /home/george/R/x86_64-pc-linux-gnu-library/3.4/googlePublicData/data/gender_country_slice.csv analyzed correctly

    ## /home/george/R/x86_64-pc-linux-gnu-library/3.4/googlePublicData/data/genders.csv analyzed correctly

    ## /home/george/R/x86_64-pc-linux-gnu-library/3.4/googlePublicData/data/states.csv analyzed correctly

    ## /home/george/R/x86_64-pc-linux-gnu-library/3.4/googlePublicData/data/state_slice.csv analyzed correctly

``` r

# 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

```

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``` r

# Summary of the dspl class object

summary(mydspl)

```

    ## Attributes

    ## $names

    ## [1] "dspl"              "concepts.by.table" "dimtabs"          

    ## [4] "slices"            "concepts"          "dimentions"       

    ## [7] "statistics"       

    ## 

    ## $class

    ## [1] "dspl"

    ## 

    ## Dataset contents

    ## $dimtabs

    ## [1] "countries" "genders"   "states"   

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    ## $slices

    ## [1] "countries"            "country_slice"        "gender_country_slice"

    ## [4] "genders"              "states"               "state_slice"         

    ## 

    ## $concepts

    ## [1] "Country"           "name"              "latitude"         

    ## [4] "longitude"         "Year"              "Population"       

    ## [7] "Gender"            "State"             "Unemployment Rate"

    ## 

    ## $dimentions

    ##      label

    ## 1  Country

    ## 12  Gender

    ## 14   State

    ## 

    ## $statistics

    ##      slices concepts dimentions

    ## [1,]      6        9          3