How to create a density map in tableau

This recipe helps you create a density map in tableau

Get access to Data Science projects View all Data Science projects
DATA VISUALIZATION DATA CLEANING PYTHON DATA MUNGING MACHINE LEARNING RECIPES PANDAS CHEATSHEET     ALL TAGS

Recipe Objective - How to create a Density Map in Tableau?

The Density map is used to show concentration in a particular area. Density maps are the most widely used maps analyzing natural disaster data of a particular country. Density Maps use calculated fields requiring latitude and longitude data points.

Steps to create Density Map.

Step 1 > Connect the "world_country_and_usa_states_latitude_and_longitude_values.xlsx" data set.

Step 3 > Create "Round Lati." using ROUND([Latitude]) calculation.

Step 4 > Create "Round Longi." using ROUND([Longitude]) calculation.

Step 5 > Drag the "Round Lati." measure and drop it onto the row shelf.

Step 6 > Drag the "Round Longi." measure and drop it onto the column shelf.

Step 7 > Select Square on Marks card.

Step 8 > Drop "USA State" dimension in color and select Count Distinct of measure.

Step 9 > Hide the headers by right-clicking on headers and unchecking the Show headers option.

Our Density Map is Ready!

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

Machine Learning Projects
Data Science Projects
Python Projects for Data Science
Data Science Projects in R
Machine Learning Projects for Beginners
Deep Learning Projects
Neural Network Projects
Tensorflow Projects
NLP Projects
Kaggle Projects
IoT Projects
Big Data Projects
Hadoop Real-Time Projects Examples
Spark Projects
Data Analytics Projects for Students

You might also like

Data Science Tutorial
Data Scientist Salary
How to Become a Data Scientist
Data Analyst vs Data Scientist
Data Scientist Resume
Data Science Projects for Beginners
Machine Learning Engineer
Machine Learning Projects for Beginners
Datasets
Pandas Dataframe
Machine Learning Algorithms
Regression Analysis
MNIST Dataset
Data Science Interview Questions
Python Data Science Interview Questions
Spark Interview Questions
Hadoop Interview Questions
Data Analyst Interview Questions
Machine Learning Interview Questions
AWS vs Azure
Hadoop Architecture
Spark Architecture

Relevant Projects

NLP Project on LDA Topic Modelling Python using RACE Dataset
Use the RACE dataset to extract a dominant topic from each document and perform LDA topic modeling in python.
View Project Details
Time Series Classification Project for Elevator Failure Prediction
In this Time Series Project, you will predict the failure of elevators using IoT sensor data as a time series classification machine learning problem.
View Project Details
Build CNN Image Classification Models for Real Time Prediction
Image Classification Project to build a CNN model in Python that can classify images into social security cards, driving licenses, and other key identity information.
View Project Details
MLOps using Azure Devops to Deploy a Classification Model
In this MLOps Azure project, you will learn how to deploy a classification machine learning model to predict the customer's license status on Azure through scalable CI/CD ML pipelines.
View Project Details
Build a Speech-Text Transcriptor with Nvidia Quartznet Model
In this Deep Learning Project, you will leverage transfer learning from Nvidia QuartzNet pre-trained models to develop a speech-to-text transcriptor.
View Project Details
Build CNN for Image Colorization using Deep Transfer Learning
Image Processing Project -Train a model for colorization to make grayscale images colorful using convolutional autoencoders.
View Project Details
Build CI/CD Pipeline for Machine Learning Projects using Jenkins
In this project, you will learn how to create a CI/CD pipeline for a search engine application using Jenkins.
View Project Details
Personalized Medicine: Redefining Cancer Treatment
In this Personalized Medicine Machine Learning Project you will learn to classify genetic mutations on the basis of medical literature into 9 classes.
View Project Details
A/B Testing Approach for Comparing Performance of ML Models
The objective of this project is to compare the performance of BERT and DistilBERT models for building an efficient Question and Answering system. Using A/B testing approach, we explore the effectiveness and efficiency of both models and determine which one is better suited for Q&A tasks.
View Project Details
PyTorch Project to Build a LSTM Text Classification Model
In this PyTorch Project you will learn how to build an LSTM Text Classification model for Classifying the Reviews of an App .
View Project Details