Description Usage Arguments Details Value Author(s) References Examples
Parsing csv, tab or xls(x) files at a specific directory path, genMore info generates a dataframe used to complete a DSPL bundle with a more complete concepts definition including description, url, etc..
1 2 | genMoreInfo(path, encoding=getOption("encoding"), sep=";", output=NA,
action="merge", dec=".")
|
path |
String. Path to the folder where the tables are saved. |
encoding |
The enconding of the files to be parsed. |
sep |
The separation character of the tables in the 'path' folder. Currently supports introducing the following arguments: “,” or “;” (for .csv files), “\t” (for .tab files) and “xls” or “xlsx” (for microsofts excel files); the last one using |
output |
If defined, the place where to save the dataframe as tab file. Otherwise it returns a data frame object. |
action |
Tells the function what to do if there's a copy of the file. Available actions are “merge” and “replace”. |
dec |
String. Decimal point. |
If there isn't any output defiend (NA
) the function returns a dataframe
containing concepts as observations. Using this, the user may add more descripting
info about concepts. In turn it writes a tab file with the dataframe described
above. The user may recycle this file writing “append” in the action
argument.
If no output
defined, genMoreInfo
returns a dataframe with the following columns.
id |
XML id of the concept (autogenerated) |
label |
The label of the concept (autogenerated) |
description |
A breif description of the concept |
topic |
The topic of the concept |
url |
A URL for the concept where, for example, to get more info |
totalName |
A total name as specified by DSPL languge (works for dimentional concepts) |
pluralName |
A total name as specified by DSPL language (works for dimentional concepts) |
George Vega Yon george.vega@nodoschile.org
Google Public Data Explorer: http://publicdata.google.com
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | ## Not run:
# Parsing some xlsx files at "my stats folder" to gen a "moreinfo" dataframe
INFO <- genMoreInfo(path="my stats folder/", sep="xls")
# Rows 1 to 10 are about "Poverty" and rows 11 to 20 about "Education"
# So we fill the "topic" column with it.
INFO$topic[1:10] <- "Poverty"
INFO$topic[11:20] <- "Education"
# Finally, we build the DSPL ZIP including more info
dspl(path="my stats folder/", sep="xls", moreinfo=INFO)
## End(Not run)
|
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