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Developed an interactive EDA tool for dynamic visualization selection (e.g., scatter plots, heatmaps) with color coding,real-time preprocessing, and automated report generation, enabling users to extract actionable insights, uncover patterns,and enhance decision-making, being intuitive and scalable for both data scientists and non-technical users.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
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I developed an executive dashboard in Python with Streamlit to transform CSV files into interactive visual reports. The application automatically detects date, metric, and category columns, then generates KPIs, charts, filters, and auto-written insights. It also highlights data quality issues such as missing values and duplicates. The goal of the project is to make data analysis and decision-making faster, simpler, and more visual.
Great visualization! Which library or tool did you use to create this?
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