This project uses jupyter notebooks and data science techniques to analyze interesting correlation found between different data sheets in a Food Atlas dataset. The main datasets analyzed were the socioeconomic backgrounds of all counties as well as the general health statistics. There was a specific correlation between adult obesity/diabetes rates and low socioeconomic backgrounds.
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omkarshanbhag/health_socioeconomic_data_exploration
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