Metadata-Version: 2.1
Name: denstatbank
Version: 0.4.1
Summary: A Python API wrapper to Statistics Denmark's DataBank API
Home-page: https://github.com/gmohandas/denstatbank.git
Author: Gopakumar Mohandas
Author-email: gopakumarmohandas@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: attrs (==19.3.0)
Requires-Dist: certifi (==2019.11.28)
Requires-Dist: chardet (==3.0.4)
Requires-Dist: idna (==2.9)
Requires-Dist: importlib-metadata (==1.5.0)
Requires-Dist: more-itertools (==8.2.0)
Requires-Dist: numpy (==1.18.2)
Requires-Dist: packaging (==20.3)
Requires-Dist: pandas (==1.0.2)
Requires-Dist: pluggy (==0.13.1)
Requires-Dist: py (==1.8.1)
Requires-Dist: pyparsing (==2.4.6)
Requires-Dist: pytest (==5.4.1)
Requires-Dist: python-dateutil (==2.8.1)
Requires-Dist: pytz (==2019.3)
Requires-Dist: requests (==2.23.0)
Requires-Dist: six (==1.14.0)
Requires-Dist: wcwidth (==0.1.8)
Requires-Dist: zipp (==3.1.0)

# denstatbank
![denstatbank](https://github.com/gmohandas/denstatbank/workflows/denstatbank/badge.svg)

A python wrapper to Statistics Denmark's Databank API.
The package allows you to easily gather data on a variety of topics made available by [Statistics Denmark](https://www.dst.dk/en).

The package provides a simple interface for professional statisticians, academics, policymakers, students, 
and anyone interested in quantitative facts about Denmark.


### Installation

The package is listed on pypi and can be installed with pip:
```
pip install denstatbank
```

### Usage

Quick Example 
```python
>>> from denstatbank import StatBankClient
>>> sbc = StatBankClient(lang='en')
>>> years = [str(y) for y in list(range(2002, 2020))]
>>> tid = sbc.make_variable_dict(code='Tid', values=years)
>>> df = sbc.data(table_id='bef5', variables=[tid], as_df=True))
>>> df.plot(style='o-', figsize=(10, 6))
```
<img src="images/bef5en.png" width="600">

`denstatbank` utilizes the power of `pandas`, a fast and flexible library
eminently suited for data handling and analysis. 

### Todo

Examples demonstrating statistical analysis of data

### Links
The official API documentation can be found [here](https://www.dst.dk/en/Statistik/statistikbanken/api)


