Are you looking to streamline your data retrieval from BPS – Statistics Indonesia? With the STADATA Python package, accessing statistical data has never been easier. This user-friendly guide will walk you through the installation, setup, and functionality of STADATA, ensuring that even those new to programming can dive right in!
Table of Contents
Installation
To install STADATA, simply run the following command in your terminal:
pip install stadataRequirements
STADATA requires Python version 3.7 or higher and has the following dependencies:
- requests: For making HTTP requests to the WebAPI BPS.
- html: For processing HTML content from API responses.
- pandas: For data manipulation and analysis.
- tqdm: For adding progress bars during data retrieval.
Usage
Once you have installed STADATA and its dependencies, you’re ready to access statistical data from BPS. To begin, you’ll need an API token from the WebAPI BPS.
Getting Started
To set up the STADATA client in your Python script, use the following code:
import stadata
# Replace 'token' with your actual API token obtained from WebAPI BPS
client = stadata.Client(token='your_api_token_here')API Methods
STADATA provides various API methods for accessing and retrieving data. Here’s an analogy to help understand how STADATA’s methods work: imagine you are browsing a restaurant menu. Each API method represents a different section of the menu:
- List Domain: Like viewing the restaurant’s location menu, this gives you options to access data from various regions.
- List Static Table: Picture checking the ‘Starters’ section for all available appetizers (static data).
- List Dynamic Table: Similar to the ‘Daily Specials’ which change frequently (dynamic data).
- View Static Table: Ordering a specific starter for more details (specific static data).
- View Dynamic Table: Requesting a daily special and getting the exact dish you want (specific dynamic data).
List Domain
Use this method to get a list of BPS webpage domains:
client.list_domain()List Static Table
Retrieve static tables with:
# Get all static tables from all domains
client.list_statictable(all=True)List Dynamic Table
For dynamic tables, use:
client.list_dynamictable(all=True)List Publication
Get a list of publications available:
client.list_publication(all=True)List Press Release
To view press releases:
client.list_pressrelease(all=True)View Static Table
To view a specific static table based on domain and table ID:
client.view_statictable(domain=domain_id, table_id=table_id)View Dynamic Table
For dynamic tables based on period:
client.view_dynamictable(domain=domain_id, var=variable_id, th=year)View Publication
Retrieve data from a specific publication:
client.view_publication(domain=domain_id, idx=publication_id)View Press Release
And to access a particular press release:
client.view_pressrelease(domain=domain_id, idx=press_release_id)Troubleshooting
If you encounter any issues while using STADATA, consider the following troubleshooting steps:
- Ensure that your API token is correct and has not expired.
- Check if your internet connection is stable.
- Make sure you have the required libraries installed as listed under the requirements section.
- If you receive errors related to specific methods, refer back to the dependencies and documentation for potential incompatibilities.
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