GBIF Occurrence Dataset Exploration Tools and Profiler
A collection of interactive dataset profiles of GBIF Occurrence Datasets
Source Data
The source data directory contains the source occurrence datasets downloaded using the Dataset Search in the GBIF Portal Datasets are organized by package ID, the identifier assigned by GBIF when a dataset is selected for download. See the source--data-inventory.md document for a tabulated summary.
Contact
Designed and Developed by Ben Norton
michaelnorton.ben@gmail.com
GitHub Repository
The project repository contains a collection of analysis and profiling tools with the documentation generator.
https://github.com/ben-norton/GBIF-Data-Profiler
Stack
Python 3.12, Pandas, Python Flask, YData, and Sweetviz
Built using PyCharm Professional on Windows 11
| Library | URL | Description |
|---|---|---|
| YData Profiler | https://docs.profiling.ydata.ai/latest/ | Data quality profiling and exploratory data analysis are crucial steps in the process of Data Science and Machine Learning development. YData-profiling is a leading tool in the data understanding step of the data science workflow as a pioneering Python package. |
| Sweetviz | https://pypi.org/project/sweetviz/ | A pandas-based library to visualize and compare datasets. |
Profiling Library Notes
- Sweetviz requires downgrading numpy to 1.26.4 (last version before 2.0.0)