Data Visualization

Data Visualization is a Python package that provides a Streamlit component for easy and interactive data visualization. This component allows you to create beautiful and insightful visualizations with just a few lines of code.

Features

• Chart Variety: Utilize a wide range of chart types, including bar charts, pie charts, scatter charts, and heatmaps, to effectively convey data insights.
• Export Options: Export charts as SVG, PNG, or PDF files, allowing for seamless integration into various platforms and documents.
• Chart Configuration: Customize charts by adjusting parameters such as color schemes, labels, axes, and legends to specific requirements.

Installation

You can install the Data Visualization package from PyPI using pip:

pip install bp-data-visualization

Usage

To use the Data Visualization component in your Streamlit application, follow these steps:

1. Import the necessary modules:

import data_visualization as dv

1. Add the Data Visualization component to your application:

dv.data_visualizer(
    title=title,
    data=data,
    key="data_visualizer",
)

1. Run your Streamlit application:

streamlit run your_app.py

Example

import data_visualization as dv

data = [
    {"id": 1, "lastName": "Snow", "firstName": "Jon", "age": 35},
    {"id": 2, "lastName": "Lannister", "firstName": "Cersei", "age": 42},
    {"id": 3, "lastName": "Lannister", "firstName": "Jaime", "age": 45},
    {"id": 4, "lastName": "Stark", "firstName": "Arya", "age": 16},
    {"id": 5, "lastName": "Targaryen", "firstName": "Daenerys", "age": 90},
    {"id": 6, "lastName": "Melisandre", "firstName": "Tom", "age": 150},
    {"id": 7, "lastName": "Clifford", "firstName": "Ferrara", "age": 44},
    {"id": 8, "lastName": "Frances", "firstName": "Rossini", "age": 36},
    {"id": 9, "lastName": "Roxie", "firstName": "Harvey", "age": 65},
]

dv.data_visualizer(
     title="Data Visualization",
     data=data,
     key="data_visualizer",
)

Screenshot