Insight Spark is a powerful analytics tool built using Streamlit, designed to help users visualize and analyze data effortlessly. Whether you're working with online retail data, food delivery trends, or Netflix viewing patterns, Insight Spark provides insightful visualizations and trends to aid decision-making.
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📊Interactive Data Visualizations – Generate dynamic charts and graphs.
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📈Trend Analysis – Identify patterns in datasets from various industries.
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📂Seamless File Upload – Supports CSV and Excel files for easy data import.
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🔍Exploratory Data Analysis (EDA) – Get quick insights into datasets.
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🖼️Image Placeholder – Displays a default image before data is uploaded.
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🎨User-Friendly UI – Simple and intuitive interface built with Streamlit.
- Python version 3.8 or above
- Streamlit module for runnig the application in local machine
Other dependencies and libraries
(git clone https://github.com/yourusername/insight-spark.gitcd insight-spark) Clone the Repository
git clone https://github.com/yourusername/insight-spark.git cd insight-spark
Install Dependencies
Using pip:
pip install -r requirements.txt
🚦 Usage
Run the app locally with the following command:
streamlit run app.py
This will launch Insight Spark in your default web browser.
Feel free to contribute to this project! Fork the repository, make changes, and submit a pull request.
This project is licensed under the MIT License.
contact me at [email protected] linkein: www.linkedin.com/in/devarana