📊 DataVision

DataVision is a user-friendly, interactive web application built with Streamlit that helps users automatically clean, explore, and model their CSV data without writing a single line of code. It’s ideal for students, analysts, and professionals who want to perform Exploratory Data Analysis (EDA) and basic machine learning quickly.

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🚀 Features

• 📤 CSV Upload
  Upload your dataset using the sidebar.

• 📊 Automatic Data Cleaning

  • Removes missing values
  • Shows missing value summary
  • Row trimming and column removal features

• 🧭 Interactive EDA

  • Dataset overview: rows, columns, cleaned rows
  • Missing value heatmap
  • Categorical value counts
  • Correlation heatmap, line plots, histograms
  • Scatter, box, KDE plots, pairplot sampling

• 🧠 Model Training

  • Logistic Regression model is automatically trained if a species column is found
  • Shows classification report and confusion matrix

• 🔮 Make Predictions

  • Interactive sliders allow input of features
  • Predicts the class of new data entries

• ✅ Responsive Layout

  • Streamlit-based UI with dual-column views for side-by-side insights

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📁 File Structure

DataVision---Clean-and-Analyze-Your-Data-Instantly/ │
├── -app.py # Main Streamlit app
├── -requirements.txt # Python package dependencies
├── -README.md # Project documentation
└── -.streamlit/
└── -config.toml # UI customization settings

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▶️ Getting Started

1. Clone the Repository

git clone https://github.com/amrishkharr/DataVision---Clean-and-Analyze-Your-Data-Instantly.git
cd DataVision

### 2. Install Requirements

pip install -r requirements.txt

### 3. Run the App

streamlit run app.py

👨‍💻 Author Amrishkhar R GitHub: @amrishkharr