A Streamlit-powered interactive data analysis platform where anyone can perform EDA (Exploratory Data Analysis), data cleaning, filtering, and visualization — without writing a single line of code.
Whether your data is in SQL Server or a CSV file, this app lets you explore it in seconds with just clicks. Built using Pandas, Matplotlib, Streamlit, and custom CSS styling for an engaging experience.
- Upload CSV Files or Connect to SQL Server easily
- Dynamic EDA — summary statistics, column info, and missing value detection
- Data Cleaning Tools — handle nulls, remove duplicates, change data types, etc.
- Filtering Options — filter rows based on conditions with a click
- Interactive Visualizations — bar charts, pie charts, line charts, histograms, heatmaps, and more
- Custom Styling — clean and modern UI with CSS enhancements
- No Coding Skills Needed — everything is controlled by an intuitive interface
- Frontend & Backend: Streamlit
- Data Handling: Pandas
- Visualization: Matplotlib
- Styling: CSS
- Database Support: SQL Server (via
pyodbc)
- Launch the app in your browser (Streamlit will open it automatically)
- Upload your CSV file or connect to SQL Server by providing credentials
- Explore your data:
- View summary statistics & data info
- Clean missing values or duplicates
- Filter data with easy dropdowns
- Generate visualizations dynamically and customize them on the fly
- Clone this repository
1. git clone https://github.com/your-username/no-code-data-analysis.git cd streamlit-web-app 2. **Install dependencies** ```bash pip install -r requirements.txt
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Business analysts and data professionals who need to explore and visualize datasets quickly without extensive coding.
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Decision-makers and managers who want clear insights from data to guide strategic planning.
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Students and learners interested in understanding data analysis concepts through interactive visualizations.
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Non-technical users who want user-friendly tools to analyze CSV files or SQL data without programming knowledge.