Skip to content

Commit

Permalink
removal of code encoding in description
Browse files Browse the repository at this point in the history
was not full
  • Loading branch information
juniperlsimonis committed Jan 18, 2020
1 parent ab210ea commit 04407c9
Show file tree
Hide file tree
Showing 2 changed files with 2 additions and 2 deletions.
2 changes: 1 addition & 1 deletion .zenodo.json
Expand Up @@ -7,7 +7,7 @@
"orcid": "0000-0001-9798-0460"
}
],
"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 `.csv`s 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).",
"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).",
"keywords": [
"bash",
"mdbtools",
Expand Down
2 changes: 1 addition & 1 deletion README.md
Expand Up @@ -17,4 +17,4 @@ If you are interested in contributing, see the [Contributor Guidelines](https://

[**J. L. Simonis**](https://orcid.org/0000-0001-9798-0460) of [DAPPER Stats](https://www.dapperstats.com)

v0.3.4
v0.3.5

0 comments on commit 04407c9

Please sign in to comment.