The aim of this repository is to simplify working work with CSO (Ireland's Central Statistics Office) energy-related statistics data
... with the help of the open source Python software prefect
and pandas
... via:
- A Jupyter Notebook sandbox environment
- A cso_energy Python library
Sandbox:
- It's free
- It's fast ... can be run on the cloud via Google Collab
- It downloads the dataset directly
cso_energy library:
- It can be imported by other projects to automate the wrangling of CSO data
This repository was setup by the codema-dev team as part of the SEAI RD&D funded Dublin Region Energy Masterplan Project
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To setup the cso_energy sandbox:
Google Collab:
Click the Google Collab badge & open sandbox.ipynb:
Mount your Google Drive to your Google Collab instance & refresh your filetree
Copy the path to your Google Drive data folder and paste it into the appropriate string
For more information see External data: Local Files, Drive, Sheets, and Cloud Storage
- Local:
- Unzip the dataset
- Clone this repository locally via
git clone https://github.com/codema-dev/cso_energy
- Launch Jupyter Notebook and open the relevant sandbox file in the notebooks folder