This Crash Course will cover all you need to know to start using Plotly in your projects.

Overview

Plotly Crash Course

This course was designed to help you get started using Plotly. If you ever felt like your data visualization skills could use an upgrade from the same old spreadsheets, look no further. Plotly is able to deliver very cool charts with little effort.

There are two notebooks in this folder. One has all the code, and the other has just the headers in case you want to use it to code along with the videos.

The full course is available here.

What you will need

You just need to have Python installed and a way to run Jupyter Notebooks. I recommend installing the Anaconda distribution if you are new to Python. It’s super easy to install and configure, and there are plenty of tutorials you can use to help you.

Might be useful to know a thing or two about data manipulation with the pandas package, but the coding is really basic throughout the whole course.

How to follow along

I recommend taking your time with each chart, and really explore the options Plotly gives you for each one. I try to teach you how to look for the stuff you need in the documentation, so I hope you find it useful if you decide to explore Plotly further. It was for me when I was starting out!

Resources

Notebook for the course - https://github.com/fnneves/plotly-crash-course/blob/main/Plotly Crash Course - complete.ipynb

Course Structure - https://github.com/fnneves/plotly-crash-course/blob/main/Plotly Crash Course Program.docx

Advanced course with Plotly and Dash - https://course-plotly-dash-waitlist.ck.page/subscribe

Plotly website - https://plotly.com/python/

Course Structure

Part 1 - Plotly Crash Course - Intro and Data Packages

  • Introduction to Plotly Express and how to use the built-in data packages

Part 2 - Plotly Express and Scatter Plots

  • Using the Scatter Plot to create a simple graph

Part 3 - Customizing Plotly Charts With Facets and Themes

  • Using Facets to create multiple plots at once and making use of the built-in themes

Part 4 - Plotly Line Charts and the Figure Reference

  • Using Line Charts and learning how to make sense of Plotly’s documentation

Part 5 - Plotly Express and Bar Charts

  • Using Bar Charts and facets to quickly generate multiple charts

Part 6 - Plotly Graph Objects - Figure Object

  • Intro to Graph Objects and how to create a Figure

Part 7 - Plotly Graph Objects - Update Figure Layout

  • Updating the layout of our figure and creating a Scatter Plot

Part 8 - Plotly Graph Objects - Advanced Customization

  • Learning how to tweak your figures to make them awesome!
Owner
Fábio Neves
Fábio Neves
Data aggregated from the reports found at the MCPS COVID Dashboard into a set of visualizations.

Montgomery County Public Schools COVID-19 Visualizer Contents About this project Data Support this project About this project Data All data we use can

James 3 Jan 19, 2022
Lightweight, extensible data validation library for Python

Cerberus Cerberus is a lightweight and extensible data validation library for Python. v = Validator({'name': {'type': 'string'}}) v.validate({

eve 2.9k Dec 27, 2022
A small tool to test and visualize protein embeddings and amino acid proportions.

polyprotein_stats A small tool to test and visualize protein embeddings and amino acid proportions. Currently deployed on streamlit.io. Given a set of

2 Jan 07, 2023
Monochromatic colorscheme for matplotlib with opinionated sensible default

Monochromatic colorscheme for matplotlib with opinionated sensible default If you need a simple monochromatic colorscheme for your matplotlib figures,

Aria Ghora Prabono 2 May 06, 2022
Ana's Portfolio

Ana's Portfolio ✌️ Welcome to my Portfolio! You will find here different Projects I have worked on (from scratch) 💪 Projects 💻 1️⃣ Hangman game (Mad

Ana Katherine Cortes Sobrino 9 Mar 15, 2022
ICS-Visualizer is an interactive Industrial Control Systems (ICS) network graph that contains up-to-date ICS metadata

ICS-Visualizer is an interactive Industrial Control Systems (ICS) network graph that contains up-to-date ICS metadata (Name, company, port, user manua

QeeqBox 2 Dec 13, 2021
Smoking Simulation is an app to simulate the spreading of smokers and non-smokers, their interactions and population during certain amount of time.

Smoking Simulation is an app to simulate the spreading of smokers and non-smokers, their interactions and population during certain

Bohdan Ruban 5 Nov 08, 2022
Python implementation of the Density Line Chart by Moritz & Fisher.

PyDLC - Density Line Charts with Python Python implementation of the Density Line Chart (Moritz & Fisher, 2018) to visualize large collections of time

Charles L. Bérubé 10 Jan 06, 2023
CPG represent!

CoolPandasGroup CPG represent! Arianna Brandon Enne Luan Tracie Project requirements: use Pandas to clean and format datasets use Jupyter Notebook to

Enne 3 Feb 07, 2022
This package creates clean and beautiful matplotlib plots that work on light and dark backgrounds

This package creates clean and beautiful matplotlib plots that work on light and dark backgrounds. Inspired by the work of Edward Tufte.

Nico Schlömer 205 Jan 07, 2023
Interactive plotting for Pandas using Vega-Lite

pdvega: Vega-Lite plotting for Pandas Dataframes pdvega is a library that allows you to quickly create interactive Vega-Lite plots from Pandas datafra

Altair 342 Oct 26, 2022
Official Matplotlib cheat sheets

Official Matplotlib cheat sheets

Matplotlib Developers 6.7k Jan 09, 2023
NW 2022 Hackathon Project by Angelique Clara Hanzel, Aryan Sonik, Damien Fung, Ramit Brata Biswas

Spiral-Data-Visualizer NW 2022 Hackathon Project by Angelique Clara Hanzell, Aryan Sonik, Damien Fung, Ramit Brata Biswas Description This project vis

Damien Fung 2 Jan 16, 2022
An intuitive library to add plotting functionality to scikit-learn objects.

Welcome to Scikit-plot Single line functions for detailed visualizations The quickest and easiest way to go from analysis... ...to this. Scikit-plot i

Reiichiro Nakano 2.3k Dec 31, 2022
📊📈 Serves up Pandas dataframes via the Django REST Framework for use in client-side (i.e. d3.js) visualizations and offline analysis (e.g. Excel)

📊📈 Serves up Pandas dataframes via the Django REST Framework for use in client-side (i.e. d3.js) visualizations and offline analysis (e.g. Excel)

wq framework 1.2k Jan 01, 2023
Visualize the training curve from the *.csv file (tensorboard format).

Training-Curve-Vis Visualize the training curve from the *.csv file (tensorboard format). Feature Custom labels Curve smoothing Support for multiple c

Luckky 7 Feb 23, 2022
Plot toolbox based on Matplotlib, simple and elegant.

Elegant-Plot Plot toolbox based on Matplotlib, simple and elegant. 绘制效果 绘制过程 数据准备 每种图标类型的目录下有data.csv文件,依据样例数据填入自己的数据。

3 Jul 15, 2022
Using SQLite within Python to create database and analyze Starcraft 2 units data (Pandas also used)

SQLite python Starcraft 2 English This project shows the usage of SQLite with python. To create, modify and communicate with the SQLite database from

1 Dec 30, 2021
DrawBot lets you draw images taken from the internet on Skribbl.io, Gartic Phone and Paint

DrawBot You don't speak french? No worries, english translation is over here. C'est quoi ? DrawBot est un logiciel codé par V2F qui va prendre possess

V2F 205 Jan 01, 2023
:bowtie: Create a dashboard with python!

Installation | Documentation | Gitter Chat | Google Group Bowtie Introduction Bowtie is a library for writing dashboards in Python. No need to know we

Jacques Kvam 753 Dec 22, 2022