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Merge pull request #11 from dapperstats/travis_try
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.zenodo.json

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{
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"title": "Access Access Databases without Acess to Access",
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"title": "Access Access Databases without Access to Access",
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"creators": [
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{
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"affiliation": "DAPPER Stats",
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"name": "Juniper L. Simonis",
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"orcid": "0000-0001-9798-0460"
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}
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],
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"description": "Tools for making Access databases (both .mdb and .accdb) databases available to users without the use of Access. As of now, three conversion tools are available in generalized formats. [1] Conversion from an .accdb or .mdb database that may be remote or local to a local set of .csv files named by the tables in the database. This tool wraps around the mdbtools package (which leverages the drivers in unixodbc) to provide one-line conversion of an Access database to a folder of .csv files. This is accomplished by the accessor.bash script, which combines two other scripts: retrieve_remote_db.bash (if necessary) and msdb_to_csvs.bash. [2] Reading the folder of .csvs into R as a list of data.frames that is directly analagous to the .accdb or .mdb database of tables via the read_database() function. This is accomplished through an included R script of a few minimal functions generalizing the base capacity of R to read data files. [3] A Dockerfile that documents a Docker image (stored on Docker Hub), which provides a stable, minimal runtime environment that automatically downloads up-to-date data from a particular .accdb database (California Delta fish salvage monitoring database). The Dockerfile includes arguments that allow for simple high-level toggling of runtime arguments including the location of the file to be retrieved. Methods text included describes the bash, R, and Dockerfile script options and default values (if included).",
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"description": "Tools for making Access databases (both .mdb and .accdb) databases available to users without the use of Access. Three conversion tools are available in generalized formats. [1] Conversion from an .accdb or .mdb database that may be remote or local to a local set of .csv files named by the tables in the database. This tool wraps around the mdbtools package (which leverages the drivers in unixodbc) to provide one-line conversion of an Access database to a folder of .csv files. This is accomplished by the accessor.bash script, which combines two other scripts: retrieve_remote_db.bash (if necessary) and msdb_to_csvs.bash. [2] Reading the folder of .csvs into R as a list of data.frames that is directly analagous to the .accdb or .mdb database of tables via the read_database() function. This is accomplished through an included R script of a few minimal functions generalizing the base capacity of R to read data files. [3] A Dockerfile that documents a Docker image (stored on Docker Hub), which provides a stable, minimal runtime environment that automatically downloads up-to-date data from a particular .accdb database (California Delta fish salvage monitoring database) by default. The Dockerfile includes options that allow for simple high-level toggling of runtime options including the location of the file to be retrieved and whether or not an interactive R session should be initiated. Methods text included describes the bash, R, and Dockerfile script options and default values.",
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"keywords": [
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"bash",
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"mdbtools",

NEWS.md

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Version numbers follow [Semantic Versioning](https://semver.org/).
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# [accessor v0.4.1](https://github.com/dapperstats/accessor/releases/tag/v0.4.1)
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*2020-01-19*
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## Minor edits
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# [accessor v0.4.0](https://github.com/dapperstats/accessor/releases/tag/v0.4.0)
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*2020-01-19*
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README.md

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[**J. L. Simonis**](https://orcid.org/0000-0001-9798-0460) of [DAPPER Stats](https://www.dapperstats.com)
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v0.4.0
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v0.4.1
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If you are interested in contributing, see the [Contributor Guidelines](https://github.com/dapperstats/salvage/blob/master/CONTRIBUTING.md) and [Code of Conduct](https://github.com/dapperstats/salvage/blob/master/CODE_OF_CONDUCT.md).
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documents/methods.md

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## Data Conversion
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Juniper L. Simonis, 2020-01-17
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## `accessor` methods
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Juniper L. Simonis, 2020-01-19
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This document outlines the processes by which an Access<sup>&reg;</sup> database is converted into local files and data objects.
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