https://github.com/sensiblecodeio/databaker

Command line tool to convert spreadsheets to databases, made for the UK's Office for National Statistics.
https://github.com/sensiblecodeio/databaker

convert-spreadsheets excel ons

Last synced: 24 days ago
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Command line tool to convert spreadsheets to databases, made for the UK's Office for National Statistics.

• Host: GitHub
• URL: https://github.com/sensiblecodeio/databaker
• Owner: sensiblecodeio
• License: other
• Created: 2015-01-09T11:21:10.000Z (almost 10 years ago)
• Default Branch: master
• Last Pushed: 2023-12-14T01:38:32.000Z (about 1 year ago)
• Last Synced: 2024-11-13T21:50:58.408Z (about 1 month ago)
• Topics: convert-spreadsheets, excel, ons
• Language: Jupyter Notebook
• Homepage:
• Size: 2.26 MB
• Stars: 78
• Watchers: 10
• Forks: 13
• Open Issues: 12
• Metadata Files:
  • Readme: README.md

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• jimsghstars - sensiblecodeio/databaker - Command line tool to convert spreadsheets to databases, made for the UK's Office for National Statistics. (Jupyter Notebook)

README

        
# Databaker

Jupyter notebook tool for converting data that is laid out in a formatted Excel 

spreadsheet into a normalized form for use by databases.

It depends on [okfn/messytables](https://github.com/okfn/messytables) and 

[sensiblecodeio/xypath](https://github.com/sensiblecodeio/xypath)

Python 3.4+ supported.

## Starting up

### For development

To install for development, the easiest way is create a virtualenv,

activate it:

`source bin/activate`

and then type

`pip install -e git+https://github.com/sensiblecodeio/databaker.git#egg=databaker`

This will install the code into `src/databaker` where you can edit and commit it.  

### For normal use

Install with `pip install databaker`

## Usage

Launch a Jupyter notebook:

`jupyter notebook` 

and then follow the tutorials as described below. 

## Documentation

The current documentation is in the form of Jupyter notebooks located

inside the [tutorial](databaker/tutorial) directory.

You can access these directly by creating a new Jupyter notebook and

running the following in a Jupyter cell:

```

from databaker.tutorial import tutorial

tutorial()

```

which will copy the tutorials to your current directory and provide

links to these copied notebooks.

## Authors

Made by the [Sensible Code Company](http://sensiblecode.io) on behalf of the 

[Office of National Statistics](https://www.ons.gov.uk/) (UK).