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📊 Smart Data Analyzer\n\nA powerful and user-friendly **Streamlit** application for analyzing and visualizing your data with **interactive charts**, **filtering**, and **PDF report generation**.\n\n---\n\n## 🚀 Features\n\n- 📂 Upload **Excel** (`.xlsx`) or **CSV** files  \n- 🧰 Interactive **data filtering**  \n- 📊 Multiple chart types: `Bar`, `Line`, `Pie`, `Scatter`, `Histogram`  \n- 🧾 Generate and download **PDF reports**  \n- 🔍 View **top 20 rows** or full dataset  \n- 🧪 Built-in **sample dataset** for quick testing  \n\n---\n\n## 📁 Project Structure\n\n### 📄 `app.py`\nThe main **Streamlit application** file containing:\n- 📂 File upload and validation  \n- 🎯 Filtering logic and UI  \n- 📊 Chart visualization using Plotly  \n- 🧾 PDF generation with `fpdf`  \n- 🖥️ User interface layout  \n\n### 📊 `data/coffee_sales_full.xlsx`\nSample dataset for demo:\n- ☕ Coffee sales data  \n- 🗓️ Dates, products, and sales figures  \n- 🧹 Clean and structured format  \n\n### 🧠 `utils/insights.py`\nHelper module with:\n- 📈 Analysis and insights generation  \n- 📊 Statistical functions  \n- 🧼 Data preprocessing utilities  \n- 🧩 Extendable for custom logic  \n\n### 📦 `requirements :`\nList of Python dependencies:\n- `streamlit` – Web UI framework  \n- `pandas` – Data manipulation  \n- `plotly` – Charting library  \n- `fpdf` – PDF report generator  \n- `openpyxl` – Excel file support  \n\n### 🛠️ `Command-Run Project :`\nstreamlit run app.py\n\nQuick commands to get started and run the app.\n\n---\n\n## ⚙️ Installation \u0026 Usage\n\n### 1️⃣ Clone the Repository\n```bash\ngit clone https://github.com/ankitpoddar07/smart_data-analyzer.git\ncd smart_data-analyzer\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fankitpoddar07%2Fsmart_data-analyzer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fankitpoddar07%2Fsmart_data-analyzer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fankitpoddar07%2Fsmart_data-analyzer/lists"}