Create README.md

Author: sanyadureja

Data Analysis/Real-Time Google Play Store Data Analytics Dashboard - Python./README.md

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+# Real-Time Google Play Store Data Analytics Dashboard
+
+This project provides a real-time data analytics dashboard for Google Play Store, built using Python. The dashboard presents interactive visualizations based on Google Play Store app data and user reviews.
+
+## Project Structure
+- `Google_Play_Store_Dashboard.ipynb`- Contains the .ipynb file.
+- `Datasets/`
+  - `play_store.csv` - Contains data of Google Play Store apps.
+  - `user_reviews.csv` - Contains user reviews of apps.
+- `README.md`
+
+## Methodology
+The analysis and dashboard creation is done in the accompanying `.ipynb` notebook, with the following steps:
+
+1. **Dataset Loading**: Load both datasets (`play_store.csv` and `user_reviews.csv`).
+2. **Data Cleaning & Transformation**: Remove inconsistencies, handle missing values, and transform the data.
+3. **Merged Dataset**: Combine both datasets to create a final dataset for analysis.
+4. **Sentiment Analysis**: Performed sentiment analysis on user reviews.
+5. **Visualization**: Used Plotly to create 10 interactive plots for detailed insights.
+6. **Dashboard Creation**: A web-based dashboard was created using HTML and CSS.
+
+## Output
+Running the code generates a `dashboard.html` file that contains the final dashboard with interactive visualizations.
+
+## How to Run
+1. Clone the repository.
+2. Run the `.ipynb` notebook.
+3. The dashboard will be saved as `dashboard.html`.
+
+## Libraries Used
+- Pandas
+- Plotly Express
+- NLTK
+- webbrowser
+- Numpy
+- os
+
+