How to Create a Bump Chart in Tableau?

This tutorial will help you go through the step-by-step process of building Tableau bump charts for compelling visualizations. | ProjectPro

This Tableau bump chart tutorial will walk you through the step-by-step process of building a Bump Chart in Tableau, from connecting data sources to customizing the final visualization. So, before creating a bump chart, let’s understand what is a bump chart first.

What is the Bump Chart in Tableau? 

A Bump Chart, also known as a "slope chart," is a powerful visualization tool used to track changes in rank or position over time or across different categories. It is particularly effective for displaying trends, such as changes in rankings or performance, and highlighting which entities are leading or falling behind.

How to Create a Bump Chart in Tableau with Example? 

Let's go through the steps to create a Bump Chart in Tableau:- 

  1. Connect Tableau to your dataset containing the relevant dimensions (e.g., order date) and measures (e.g., profit).

  2. Drag the order date dimension to the Columns shelf and the profit measure to the Rows shelf. This creates a basic line chart showing the trend of profits over time.

  3. Right-click on the profit axis in the visualization and choose "Add Table Calculation." Select "Rank" from the list of table calculations. Tableau will automatically rank the profit values for each order date.

  4. After adding the Rank calculation, you may need to adjust the "Compute Using" setting to ensure that Tableau ranks the data correctly. Depending on our data and visualization requirements, we need to compute the rank by region. 

Check out the video below for a detailed practical demonstration - 

Create Compelling Tableau Charts with ProjectPro! 

This tutorial has offered a comprehensive, step-by-step guide from grasping bump chart concepts to proficiently executing them in Tableau. Following these instructions can help you clearly represent trends, rankings, and changes over time. Nevertheless, whether you're mastering data visualization tools like Tableau or delving into applying machine learning techniques, the advantages of participating in real-world projects through ProjectPro are immense. ProjectPro provides a distinctive opportunity to bridge the gap between theoretical knowledge and practical application by granting access to over 250 industry-grade projects. These projects come with step-by-step video explanations and downloadable source code, enriching your learning experience and facilitating the hands-on application of concepts. 

What Users are saying..

profile image

Anand Kumpatla

Sr Data Scientist @ Doubleslash Software Solutions Pvt Ltd
linkedin profile url

ProjectPro is a unique platform and helps many people in the industry to solve real-life problems with a step-by-step walkthrough of projects. A platform with some fantastic resources to gain... Read More

Relevant Projects

Langchain Project for Customer Support App in Python
In this LLM Project, you will learn how to enhance customer support interactions through Large Language Models (LLMs), enabling intelligent, context-aware responses. This Langchain project aims to seamlessly integrate LLM technology with databases, PDF knowledge bases, and audio processing agents to create a comprehensive customer support application.

Skip Gram Model Python Implementation for Word Embeddings
Skip-Gram Model word2vec Example -Learn how to implement the skip gram algorithm in NLP for word embeddings on a set of documents.

Build a Hybrid Recommender System in Python using LightFM
In this Recommender System project, you will build a hybrid recommender system in Python using LightFM .

Llama2 Project for MetaData Generation using FAISS and RAGs
In this LLM Llama2 Project, you will automate metadata generation using Llama2, RAGs, and AWS to reduce manual efforts.

Medical Image Segmentation Deep Learning Project
In this deep learning project, you will learn to implement Unet++ models for medical image segmentation to detect and classify colorectal polyps.

Build Regression (Linear,Ridge,Lasso) Models in NumPy Python
In this machine learning regression project, you will learn to build NumPy Regression Models (Linear Regression, Ridge Regression, Lasso Regression) from Scratch.

Census Income Data Set Project-Predict Adult Census Income
Use the Adult Income dataset to predict whether income exceeds 50K yr based oncensus data.

Learn Hyperparameter Tuning for Neural Networks with PyTorch
In this Deep Learning Project, you will learn how to optimally tune the hyperparameters (learning rate, epochs, dropout, early stopping) of a neural network model in PyTorch to improve model performance.

Learn to Build a Polynomial Regression Model from Scratch
In this Machine Learning Regression project, you will learn to build a polynomial regression model to predict points scored by the sports team.

Classification Projects on Machine Learning for Beginners - 1
Classification ML Project for Beginners - A Hands-On Approach to Implementing Different Types of Classification Algorithms in Machine Learning for Predictive Modelling