How to create custom territories on a map in tableau

This recipe helps you create custom territories on a map in tableau

Recipe Objective:-How to create custom territories on a map in tableau?

Step 1:-

Import any data set in the data source. For example, here, the "Global Superstore" data set excel file is imported.

Step 2:-

Drag and drop the orders sheet in the schema pane.

Step 3:-

Go to sheet1; here, different dimensions and measures are available. Double click on the country dimension, then longitude and latitude measures will appear in the column and row shelf, respectively. The country dimension is provided with a Detail label and will appear under the marks card.

Step 4:-

Now drag and drop the latitude measure in the row shelf. Two symbol maps will be available in the worksheet canvas. Click on the first latitude measure drop-down, click on mark type, and select the filled map. Now the first map is a filled map and the second one is a symbol map.

Step 5:-

Go to the filled map in the canvas and select the North American region we want to group and customize to a territory. Click on the group member symbol and give any name or keep the default name; it will show 10 items selected, which meant that 10 countries are grouped and represented as a customs territory.

Step 6:-

In the visualization, we can observe the custom territory grouped and the rest of the world. The custom territory will appear as "Country (group)" under the dimensions. It will be represented by dark yellow color in both the maps, and other parts of the world will be represented by gray color.

What Users are saying..

profile image

Abhinav Agarwal

Graduate Student at Northwestern University
linkedin profile url

I come from Northwestern University, which is ranked 9th in the US. Although the high-quality academics at school taught me all the basics I needed, obtaining practical experience was a challenge.... Read More

Relevant Projects

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.

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 .

Deep Learning Project for Beginners with Source Code Part 1
Learn to implement deep neural networks in Python .

Build a Graph Based Recommendation System in Python -Part 1
Python Recommender Systems Project - Learn to build a graph based recommendation system in eCommerce to recommend products.

Build a Customer Churn Prediction Model using Decision Trees
Develop a customer churn prediction model using decision tree machine learning algorithms and data science on streaming service data.

Time Series Forecasting Project-Building ARIMA Model in Python
Build a time series ARIMA model in Python to forecast the use of arrival rate density to support staffing decisions at call centres.

Many-to-One LSTM for Sentiment Analysis and Text Generation
In this LSTM Project , you will build develop a sentiment detection model using many-to-one LSTMs for accurate prediction of sentiment labels in airline text reviews. Additionally, we will also train many-to-one LSTMs on 'Alice's Adventures in Wonderland' to generate contextually relevant text.

Build a Credit Default Risk Prediction Model with LightGBM
In this Machine Learning Project, you will build a classification model for default prediction with LightGBM.

Walmart Sales Forecasting Data Science Project
Data Science Project in R-Predict the sales for each department using historical markdown data from the Walmart dataset containing data of 45 Walmart stores.

Time Series Python Project using Greykite and Neural Prophet
In this time series project, you will forecast Walmart sales over time using the powerful, fast, and flexible time series forecasting library Greykite that helps automate time series problems.