Cleaning And Analysis With SQL: Manhattan Healthcare Dataset
This project encompasses cleaning and utilising data to extract insights and make recommedations from the Manhattan Healthcare dataset using SQL
This project encompasses cleaning and utilising data to extract insights and make recommedations from the Manhattan Healthcare dataset using SQL
Analysis of several food samples to make recommendations with regards to different medical conditions.
Series of dashboards and visualizations made with Tableau that showcase expertise, efficiency and data exploration skills.
Series of dashboards and visualizations made with Microsoft Power BI that showcase expertise, efficiency and data exploration skills.
Report writing is undeniably important in overall analysis process. This section embodies summary or reports on the aforementioned SQL projects.
This report explores the process of transformation of raw healthcare data into actionable insights through rigorous data cleaning and analysis. It also showcases how thoughtful preprocessing can uncover meaningful trends and improve data accuracy.
The project underscores the importance of meticulous data preparation and targeted analysis in deriving actionable insights from nutritional data, with practical applications in dietary planning and addressing health conditions related to nutrition.
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