rafapolo
2446a0f78d
- Add 37 census documentation files for IBGE census datasets (1970-2010) - Add dataviz wordcloud scripts and images - Add relatorio_final.md with research findings on households and living conditions New data from DuckDB queries: - 90.7M households, 203M population - 53.2% Black population - 27.9% female-headed households - 46.6% urban sewage without collection/treatment - 15,816 favela sectors (2010) - 68% Black population in Fortaleza
34 lines
948 B
Python
34 lines
948 B
Python
#!/usr/bin/env python3
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import json
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from collections import Counter
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from wordcloud import WordCloud
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import matplotlib.pyplot as plt
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with open('context/basedosdados-schema.json') as f:
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schema = json.load(f)
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dataset_names = []
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for dataset in schema.keys():
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parts = dataset.replace('br_', '').replace('mundo_', '').replace('eu_', '').split('_')
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dataset_names.extend([p for p in parts if len(p) >= 3])
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word_freq = Counter(dataset_names)
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wc = WordCloud(
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width=1600,
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height=800,
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background_color='white',
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max_words=100,
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colormap='plasma',
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min_font_size=10
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).generate_from_frequencies(word_freq)
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plt.figure(figsize=(20, 10))
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plt.imshow(wc, interpolation='bilinear')
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plt.axis('off')
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plt.tight_layout(pad=0)
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plt.savefig('docs/wordcloud_datasets.png', dpi=150, bbox_inches='tight')
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print("Saved docs/wordcloud_datasets.png")
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print(f"Total unique words: {len(word_freq)}")
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print("Top 30:", word_freq.most_common(30))
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