How to Create a Dendrogram in Plotly?

Enhance your data analysis skills with our guide on creating dendrograms in Plotly. Learn the process from start to finish with clear, concise instructions.

A dendrogram is a tree-like diagram often used in hierarchical clustering to visualize the arrangement of the clusters formed during the clustering process. Plotly is a powerful Python library for creating interactive visualizations, including dendrograms. This code example will help you learn how to create a dendrogram using Plotly in Python.

What is a Dendrogram in Plotly?

A dendrogram in Plotly is a graphical representation of hierarchical clustering, a method for grouping similar data points into clusters based on their proximity. A dendrogram visually displays the arrangement of these clusters in a tree-like structure, where the closer the branches or clusters are, the more similar they are. 

Plotly Dendrogram Example 

Dendrograms can be created using the plotly.figure_factory.create_dendrogram function, which allows you to specify the data and parameters for creating the dendrogram.

Here's a basic example of how to create a dendrogram using Plotly:

X is a random dataset with 10 data points and two features. We then use ff.create_dendrogram to create the dendrogram from this data. Finally, we update the layout of the figure to set the width and height and then display the dendrogram using fig.show().

Step-by-Step Guide to Creating a Dendrogram in Python

Here's a more comprehensive step-by-step guide to creating a dendrogram in Python using Plotly: 

Step 1 - Import libraries

import plotly.figure_factory as pff

import numpy as np

Step 2 - Take Sample data

data = np.random.rand(5,5)

names = ["James","Heena","Vidhi","Aron","Simon"]

Step 3 - Plot Graph

fig = pff.create_dendrogram(data, orientation="left",labels=names)

fig.update_layout({'width':1000, 'height':700})

fig.show()

How to Create a Plotly Dendrogram from Distance Matrix? 

Let’s now create a Dendrogram in Plotly from the distance matrix - 

Step 1: Import Necessary Libraries

Step 2: Prepare Data

You need to prepare the data before creating the dendrogram. Typically, dendrograms are created from hierarchical clustering results or distance matrices. Here, we will demonstrate how to make a dendrogram from a distance matrix. 

Step 3: Create a Dendrogram from the Distance Matrix 

The following code snippet generates a dendrogram visualization using Plotly's create_dendrogram function.

Master Excellent Data Visualization Skills with ProjectPro!

This tutorial has walked you through the steps required to create dendrograms that highlight the importance of understanding the underlying concepts and the practical application of these techniques. Remember that hands-on experience must complement theoretical knowledge as you refine your skills. Engaging in real-world projects is the best way to cement your learning and gain a deeper understanding of data visualization concepts. This is where ProjectPro becomes an invaluable resource. Its extensive repository of over 250+ projects around data science and big data allows you to apply what you've learned in real-world scenarios. Practicing these projects enhances your practical skills and builds a robust portfolio that showcases your ability to tackle real-world data challenges.  

What Users are saying..

profile image

Ed Godalle

Director Data Analytics at EY / EY Tech
linkedin profile url

I am the Director of Data Analytics with over 10+ years of IT experience. I have a background in SQL, Python, and Big Data working with Accenture, IBM, and Infosys. I am looking to enhance my skills... Read More

Relevant Projects

Recommender System Machine Learning Project for Beginners-1
Recommender System Machine Learning Project for Beginners - Learn how to design, implement and train a rule-based recommender system in Python

Build an Outreach AI Agent using CrewAI,Twilio and OpenAI APIs
In this project, you will learn to build an end-to-end AI-powered customer outreach system using CrewAI. You’ll design a workflow where different AI agents handle different tasks like analyzing customer data, creating personalized call scripts, making voice calls, and sending follow-up emails.

End-to-End Snowflake Healthcare Analytics Project on AWS-1
In this Snowflake Healthcare Analytics Project, you will leverage Snowflake on AWS to predict patient length of stay (LOS) in hospitals. The prediction of LOS can help in efficient resource allocation, lower the risk of staff/visitor infections, and improve overall hospital functioning.

Classification Projects on Machine Learning for Beginners - 2
Learn to implement various ensemble techniques to predict license status for a given business.

Learn to Build a Siamese Neural Network for Image Similarity
In this Deep Learning Project, you will learn how to build a siamese neural network with Keras and Tensorflow for Image Similarity.

Build a Multi-Class Classification Model in Python on Saturn Cloud
In this machine learning classification project, you will build a multi-class classification model in Python on Saturn Cloud to predict the license status of a business.

Ensemble Machine Learning Project - All State Insurance Claims Severity Prediction
In this ensemble machine learning project, we will predict what kind of claims an insurance company will get. This is implemented in python using ensemble machine learning algorithms.

Demand prediction of driver availability using multistep time series analysis
In this supervised learning machine learning project, you will predict the availability of a driver in a specific area by using multi step time series analysis.

Deploying Machine Learning Models with Flask for Beginners
In this MLOps on GCP project you will learn to deploy a sales forecasting ML Model using Flask.

Time Series Analysis with Facebook Prophet Python and Cesium
Time Series Analysis Project - Use the Facebook Prophet and Cesium Open Source Library for Time Series Forecasting in Python