6 Types of Bar Charts and Bar Graphs: A Complete Guide

What Is a Bar Chart?

A bar chart is a type of data visualisation that represents categorical data with rectangular bars. The length or height of each bar is proportional to the value it represents, making it easy to compare quantities across different categories at a glance.

Bar charts display data on two axes. The horizontal axis (x-axis) typically lists the categories being compared — such as months, product names, or departments. The vertical axis (y-axis) shows the measured values. In a horizontal bar chart, these axes are swapped.

Bar charts are among the oldest and most widely used chart formats in data visualisation. They are used in business reporting, academic research, government statistics, and everyday media. Their simplicity is their strength: a well-constructed bar chart communicates a comparison faster than any table or written summary.

Bar Chart vs Bar Graph: Is There a Difference?

In practice, “bar chart” and “bar graph” refer to the same thing. Both terms describe a chart that uses rectangular bars to show data comparisons. The difference is primarily regional and contextual:

• “Bar chart” is more commonly used in British English and in formal data visualisation contexts.
• “Bar graph” is more common in American English, particularly in academic and school settings.
• “Bar diagram” is used in some Asian education systems, including parts of South Asia.

For this guide, we use both “bar chart” and “bar graph” interchangeably. When you see either term in a textbook, exam paper, or tool like Power BI or Excel, they mean the same visual format.

When Should You Use a Bar Chart?

Bar charts are the right choice when:

• You need to compare values across distinct categories (for example, sales by region or revenue by product line).
• You want to show how a single category has changed over a small number of discrete time periods.
• You need to rank items by size — bar charts make it instantly clear which category is largest or smallest.
• Your audience is non-technical. Bar charts are one of the most universally understood chart types.

Bar charts are not the right choice when:

• You have continuous data over many time periods — use a line chart instead.
• You want to show how parts make up a whole as a proportion — use a pie chart or 100% stacked bar.
• You have more than 15-20 categories — consider a table or a dot plot for readability.

6 Types of Bar Charts and Bar Graphs (With Examples)

We will look at different types of bar charts and cover various examples to understand them better.

1. Basic (Simple) Bar Chart

A basic bar chart, sometimes called a simple bar chart, displays a single data series across multiple categories. Each category gets one bar, and the height or length of the bar represents its value.

This is the most common bar chart type. It works best when you are comparing one measure across categories — for example, the number of requirements completed per sprint, sales by country, or website visits by month.

2. Grouped (Clustered) Bar Chart

A grouped bar chart, also called a clustered bar chart or multiple bar chart, places two or more bars side by side within each category. This lets you compare multiple data series across the same set of categories at the same time.

Business analysts use grouped bar charts when comparing the same metric for different groups — for instance, comparing budget versus actual spend across multiple departments, or satisfaction scores from two user groups.

3. Stacked Bar Chart

A stacked bar chart divides each bar into segments, with each segment representing a sub-category. The segments are stacked on top of each other (or side by side in a horizontal version) so that the full bar shows the total and the individual segments show how the total is made up.

Stacked bar charts are useful when you want to see both the total value and the contribution of each component at the same time. For example, you might use a stacked bar chart to show total support tickets resolved per month, broken down by priority level.

4. 100% Stacked Bar Chart

A 100% stacked bar chart (sometimes called a segmented bar chart) is a variation of the stacked bar chart where every bar is scaled to reach 100%. Instead of showing absolute values, this chart type shows each component as a percentage of the total.

This makes it ideal for comparing the relative composition of categories across groups, even when the group totals are very different. For example, if you want to compare the proportion of high, medium, and low severity requirements across five projects regardless of how many total requirements each project has, a 100% stacked bar chart is the right choice.

5. Horizontal Bar Chart

A horizontal bar chart is simply a bar chart rotated 90 degrees. The categories are listed on the vertical axis and the measured values extend horizontally. This layout is particularly useful when category labels are long, when there are many categories, or when you want to create a ranking view.

Horizontal bar charts are common in survey result presentations, project management (as a simplified Gantt chart), and any report where readability of category names matters more than vertical space.

6. Bar and Line Combo Chart

A bar and line combo chart (also called a combination chart or dual-axis chart) overlays a line chart on top of a bar chart. The bars and the line typically measure different things on two separate y-axes.

This chart type is very common in business and financial reporting. A typical example is a chart that shows monthly revenue as bars while overlaying a line showing the number of new customers — two related metrics with different scales displayed on the same chart.

Quick Comparison Table: All 6 Bar Chart Types at a Glance

Bar Charts in Business Analysis

Business analysts use bar charts extensively in their day-to-day work. Whether you are documenting requirements, presenting findings to stakeholders, or building a KPI dashboard, bar charts are often the fastest way to make data-driven points clear.

Common BA applications include:

• Requirements tracking: showing the number of requirements by status (approved, in-review, pending) across sprints.
• Stakeholder reporting: presenting survey results from interviews or workshops.
• Gap analysis: comparing current-state versus future-state metrics.
• Risk reporting: visualising the frequency of risk categories in a project.
• Process metrics: tracking defect rates, cycle times, or throughput across iterations.

The BABOK Guide (Business Analysis Body of Knowledge) recognises data modelling and visualisation as core business analysis techniques. While BABOK does not prescribe specific chart types, the ability to select the right visualisation for the right dataset is a key analytical skill tested in CBAP and CCBA certification exams.

Bar Charts vs Other Chart Types

Frequently Asked Questions About Bar Charts