Simple Data Dashboard

This is a simple and interactive data dashboard built using Streamlit, a Python framework for building web applications. The dashboard allows users to upload a CSV file, filter data, and visualize it with a line chart. The interface is designed to be intuitive and user-friendly.

Features

• File Upload: Upload your CSV files for analysis.
• Data Preview: View the first few rows of your dataset.
• Data Summary: Get statistical summaries of your data.
• Data Filtering: Filter data based on specific column values.
• Data Visualization: Generate a line chart to visualize the data.

How to Use

1. Upload a CSV File: Click the "Choose a CSV file" button and select a file from your computer, and sample.csv is also given in repository.
2. Preview Data: Once the file is uploaded, the first few rows of the dataset will be displayed.
3. View Summary: A summary of the data, including statistical metrics, will be shown.
4. Filter Data: Select a column and a specific value to filter the data.
5. Generate Plot: Choose columns for the x and y axes, and generate a line chart.

Requirements

• Python 3.x
• Streamlit
• Pandas
• Matplotlib

Installation

1. Clone the repository:

git clone https://github.com/your-username/simple-data-dashboard.git

cd simple-data-dashboard

Install the required libraries:

pip install -r requirements.txt

Run the application:

streamlit run app.py

Prepared by: Safwan Ahmad Saffi