https://github.com/os-climate/financial-entity-cleaner

cleaning for entity matching
https://github.com/os-climate/financial-entity-cleaner

Last synced: 7 days ago
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cleaning for entity matching

• Host: GitHub
• URL: https://github.com/os-climate/financial-entity-cleaner
• Owner: os-climate
• License: apache-2.0
• Created: 2021-09-28T14:54:39.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2024-10-07T20:39:26.000Z (about 1 month ago)
• Last Synced: 2024-10-11T23:50:23.606Z (about 1 month ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 466 KB
• Stars: 4
• Watchers: 3
• Forks: 4
• Open Issues: 10
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

        
# financial-entity-cleaner

The financial-entity-cleaner is a library that is part of the Entity-Matching project developed by OS-Climate Foundation. The main purpose of the financial-cleaner is to provide methods for validation and standardization of data used in the banking industry as to solve the problem of determining if two entities in a data set refer to the same real-world object (entity matching).

Currently, the library provides three main components:

- a validator for banking identifiers (Sedol,Isin and Lei),

- a validator for country information, and 

- a cleaner for company's name.

## Install from PyPi

```

pip install financial-entity-cleaner

```

## How to use the library

The following jupyter notebooks teaches how to use the library:

- [How to clean a company's name](https://github.com/os-climate/financial-entity-cleaner/blob/main/notebooks/how-to/Clean%20up%20company's%20name.ipynb)

- [How to normalize country information](https://github.com/os-climate/financial-entity-cleaner/blob/main/notebooks/how-to/Normalize%20country%20information.ipynb)

- [How to validate banking ids, such as: LEI, ISIN and SEDOL](https://github.com/os-climate/financial-entity-cleaner/blob/main/notebooks/how-to/Clean%20up%20and%20validate%20banking%20IDs.ipynb)