This is the Streamlit web application that allows users to upload a dataset, generate an automated exploratory data analysis (EDA) report using the pandas-profiling library, and and train a machine learning model for regression or classification tasks.
This project shows the data analysis of economic data using Fred API (Federal Reserve Economic Data) by cleaning the data, fetching data from the API, exploring and analyzing.
Upload your CSV and get instant insights — automated EDA with visualizations, missing value analysis, feature types, correlations, and more. Built for data scientists and non-tech users alike.
A rule-based automated EDA system that processes CSV datasets and generates an interactive analytics dashboard with data-quality diagnostics, statistical summaries, and visual insights to support exploratory decision-making.
Data Analysis Suit includes: Data upload EDA section Excel-like query feature (using openpyxl or xlrd for Excel processing + formulas) Power BI-like dashboards: Manual dashboard: user picks columns & chart types Automatic dashboard: Python & Pandas advanced console for data analysis Web scraping tool
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