Summary  
This chapter covers how to create and interpret histograms by dividing numerical data into intervals (bins) and counting the frequency of observations in each bin to visualize data distributions.

General domain of usage  
Data analysis

A **histogram** in Tableau is a powerful tool for visualizing the distribution of numerical data. It helps you understand how values are **distributed across defined intervals** and how frequently they occur within your dataset.  

Here are the key features of histograms:

## Why Histograms?  

Histograms are particularly useful for:  
- Analyzing data distribution across ranges or intervals;  
- Identifying patterns, such as clustering or outliers;  
- Simplifying large datasets for better insights.

What does the height of a bar in a histogram indicate?

This streamlined beginner course focuses on the essential Tableau skills needed for business intelligence: connecting data sources, working with dimensions and measures, creating interactive visualizations, designing dashboards, and sharing insights. Each chapter includes practical tasks and projects for hands-on learning.