Data Analysis Dashboard

This project demonstrates the development of a data analysis dashboard using Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn. The dashboard provides various visualizations to analyze and understand the data effectively.

Dashboard Final Output

The final output of the python dashboard using pandas,numpy,matplotlib and seaborn has been displayed below ,

Features

• Line chart of sepal length vs sepal width
• Bar chart of petal length vs petal width
• Pie chart of flower species distribution
• Correlation matrix

Prerequisites

• Python 3.6 or higher
• Pandas
• NumPy
• Matplotlib
• Seaborn

Installation

1. Clone the repository:

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

2. Install the required libraries:

                 pip install pandas numpy matplotlib seaborn
   

Usage

1. Load the data: python data = pd.read_csv("your_data.csv")

2. Run the script: python py_dashboard.py

3. The dashboard will be displayed .

Tech Stack

Language - Python 3.10

Article

The project has been published as an article in Medium, to which the link is provided below.

       https://medium.com/@vasudevanswornampillai/developing-a-data-analysis-dashboard-using-python-libraries-121cf1b80437?source=friends_link&sk=e0978a7d63285664ab3ec6bd2ecec794

Share with the community

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Conclusion

In this project, we’ve developed a data analysis dashboard using Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn. The model, a beacon of performance, awaits those go into the beautiful world of Python.