Update README.md

README.md

@@ -151,69 +151,3 @@ Where:
 - **Developer Longevity**: sindresorhus maintained relevance from 2015-2021 (7 years)
 - **Organization Decline**: Big tech companies dropped from top spots after 2019
 - **Ecosystem Impact**: Most top developers maintain influential open-source libraries
-
-## 💡 Usage Examples
-
-### Load with Hugging Face Datasets (Recommended)
-
-```python
-from datasets import load_dataset
-
-# Load yearly aggregated dataset (8,125 entries)
-ds_yearly = load_dataset('ronantakizawa/github-top-developers', 'yearly')
-df_yearly = ds_yearly['train'].to_pandas()
-
-# Load complete daily dataset (41,841 entries)
-ds_full = load_dataset('ronantakizawa/github-top-developers', 'full')
-df_full = ds_full['train'].to_pandas()
-
-# Get top 10 developers of 2024
-top_2024 = df_yearly[df_yearly['year'] == 2024].head(10)
-print(top_2024[['rank', 'name', 'times_trended', 'popular_repos']])
-```
-
-### Time Series Analysis
-
-```python
-import pandas as pd
-import matplotlib.pyplot as plt
-from datasets import load_dataset
-
-ds = load_dataset('ronantakizawa/github-top-developers', 'full')
-df = ds['train'].to_pandas()
-df['date'] = pd.to_datetime(df['date'])
-
-# Analyze a specific developer over time
-developer = 'emilk'
-dev_df = df[df['name'] == developer]
-
-# Plot trending frequency over time
-monthly_counts = dev_df.groupby(dev_df['date'].dt.to_period('M')).size()
-monthly_counts.plot(title=f'{developer} Trending Frequency')
-plt.ylabel('Days in Trending')
-plt.show()
-```
-
-## 📖 Citation
-
-If you use this dataset in your research, please cite:
-
-```bibtex
-@dataset{github_trending_developers_2015_2025,
-  title={GitHub Top Developers Dataset (2015-2025)},
-  author={Ronan Takizawa},
-  year={2025},
-  publisher={Hugging Face},
-  url={https://huggingface.co/datasets/ronantakizawa/github-top-developers}
-}
-```
-
-## 📄 License
-
-MIT License - Free to use with attribution
-
----
-
-**Last Updated:** December 2025
-**Dataset Version:** 1.0
-**Status:** ✅ Complete and ready for use