https://github.com/das-amlan/learning-plotly

This repository contains all codes of my Plotly learning path
https://github.com/das-amlan/learning-plotly

data-visualization pandas plotly

Last synced: 3 days ago
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This repository contains all codes of my Plotly learning path

• Host: GitHub
• URL: https://github.com/das-amlan/learning-plotly
• Owner: das-amlan
• Created: 2023-01-27T20:39:49.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-02-04T01:13:41.000Z (almost 2 years ago)
• Last Synced: 2023-05-29T10:12:49.549Z (over 1 year ago)
• Topics: data-visualization, pandas, plotly
• Language: Jupyter Notebook
• Homepage:
• Size: 204 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Learning Plotly

This repo contains my learning journey with Plotly, an open source data visualization library for creating interactive and informative charts and graphs. The goal of this repo is to showcase my understanding of Plotly's features and functionality, and how I use them to create visually appealing and insightful plots.

## Why Plotly?

Plotly is a versatile data visualization tool that offers:

* Interactivity for exploring data

* A variety of chart types including line plots, bar plots, scatter plots, maps, and 3D plots

* High degree of customization for tailoring appearance

* Easy collaboration and sharing options

* User-friendly interface and large community support.

## Contents

This repo includes notebooks and scripts demonstrating the following Plotly features:

* Pie Chart

* Bar Graph

* Scatter Plot

* Animated Scatter Plot

* Box & Violin Plots

## Getting started

To run the notebooks and scripts in this repo, you need to have the following installed:

* [Python 3](https://www.python.org/downloads/)

* [Jupyter Notebook](https://jupyter.org/install)

* Plotly library (**`pip install plotly`**)

Clone the repository by running the following command:

```bash

git clone https://github.com/das-amlan/Learning-Plotly.git

```

## Contributing

If you find any mistakes or have suggestions for improvements, feel free to create an issue or make a pull request. Your contributions are always welcome!

## Important Links

* Plotly graph_object: https://plotly.com/python/reference/index/

* Credit: https://github.com/Coding-with-Adam/Dash-by-Plotly/tree/master/Plotly_Graphs