How to Create a Relative Frequency Bar Chart in Excel?

Have you ever wondered how to make sense of large data sets quickly? A relative frequency bar chart could be the answer.

Picture this: you’ve collected customer feedback from hundreds of responses. You want to determine which category gets the most mentions — complaints, compliments, or suggestions. That’s where a relative frequency bar chart comes into play.

This type of chart shows how frequently each category occurs but in relation to the total responses. Instead of focusing on raw numbers, it helps you see proportions.

Imagine you’re managing a team of 20, and half of them clock in late every Monday. The relative frequency would show 50% for tardiness. This might grab your attention much faster than seeing “10 people late”.

Businesses process over 2.5 quintillion bytes of data daily. Sorting and analyzing such vast amounts of information demands efficient tools. A relative frequency bar chart simplifies data interpretation, transforming overwhelming figures into actionable insights.

When businesses rely on this method, they reduce the chances of missing critical trends hidden behind mountains of numbers. Whether you’re analyzing customer behavior, sales data, or employee performance, this chart could help spot patterns you might otherwise overlook.

In this blog, we’ll learn how to create and interpret a relative frequency bar chart.

Are you ready to turn your data into visual insights? Let’s begin!

Table of Contents:

1. What is a Relative Frequency Bar Chart?
2. How to Find Relative Frequency?
3. How to Use Relative Frequency Formula?
4. How is a Relative Frequency Histogram Different from a Bar Chart?
5. How to Create a Relative Frequency Bar Chart?
6. Wrap Up

First…

What is a Relative Frequency Bar Chart?

Definition: A relative frequency bar chart displays data in bar form, showing the proportion of each category compared to the total. It highlights how often a particular event occurs relative to all other events.

Instead of absolute counts, a relative frequency bar chart uses percentages or fractions. This makes it easier to compare different categories.

This chart is useful for spotting market trends and patterns in data and helps simplify the analysis of complex datasets.

How to Find Relative Frequency?

Finding relative frequency doesn’t have to be complicated. It’s all about breaking down the data into manageable steps.

How?

1. Count the occurrences: Start by counting how many times each event or category appears in your data.
2. Calculate the total count: Add all the occurrences to get the total data points.
3. Use the formula: Now, divide the number of occurrences for a category by the total count. Use the relative frequency formula below:

Relative Frequency=Number of Occurrences of the Category/Total Number of Observations​

4. Convert to percentage (optional): If you prefer, multiply the relative frequency by 100 to get a percentage. This helps make comparison easier.

How to Use Relative Frequency Formula?

Understanding how often something happens about the total is key in data analysis. That’s where the relative frequency formula comes in handy. Let’s break it down step by step:

Step 1: Collect Your Data

Gather the data you want to analyze. This could be anything from test scores to survey results. It can also be how many times different colors of cars pass by in a given hour.

Step 2: Identify Categories

Identify the categories or events you’re focusing on. For example, if you’re analyzing car colors, your categories might be red, blue, black, white, and so on.

Step 3: Count Occurrences

Now, count how many times each category or event happens. For instance, if you’re looking at car colors, tally up how many red, blue, black, etc., cars you observe.

Step 4: Calculate Total Observations

Once you’ve counted the occurrences, sum them up to find the total number of observations. This is crucial because it helps you understand the overall context of your data.

Step 5: Apply the Relative Frequency Formula

The formula is quite simple:

Relative Frequency=Number of Occurrences of the Category/Total Number of Observations​

For example, if 20 out of 100 cars you saw were red, the relative frequency of red cars would be:

20

Step 6: Convert to Percentage (Optional)

If you want to express the relative frequency as a percentage, multiply the result by 100. In the example above, 0.2×100=20%, meaning 20% of the cars were red.

How is a Relative Frequency Histogram Different from a Bar Chart?

It’s easy to confuse a relative frequency histogram with a bar chart. Why? Both display data visually with bars, but they serve different purposes. Let’s explore the differences between these charts:

Aspect	Relative Frequency Histogram	Bar Chart
Data Representation	Shows the frequency of data relative to the total in percentage or proportion	Displays categorical data using bars to show counts or values
Data Type	Typically used for numerical data, often continuous	Primarily used for categorical data
Bar Arrangement	Bars are adjacent (no gaps) to represent continuous intervals	Bars have spaces between them to separate categories
Purpose	Visualizes the distribution of data over intervals	Compares individual categories or groups

How to Create a Relative Frequency Bar Chart?

Data visualization is a game-changer in data analysis. It helps you spot patterns quickly.

But let’s face it – Excel’s charts often leave you wanting more. They work but aren’t always the best at showing complex insights.

That’s where ChartExpo steps in. It takes your data and transforms it into visually compelling charts and graphs with ease.

Want to create a relative frequency bar chart that truly stands out? Let’s see how ChartExpo can help you do it better than Excel ever could.

Let’s learn how to install ChartExpo in Excel

1. Open your Excel application.
2. Open the worksheet and click the “Insert” menu.
3. You’ll see the “My Apps” option.
4. In the Office Add-ins window, click “Store” and search for ChartExpo on my Apps Store.
5. Click the “Add” button to install ChartExpo in your Excel.

ChartExpo charts are available both in Google Sheets and Microsoft Excel. Please use the following CTAs to install the tool of your choice and create beautiful visualizations with a few clicks in your favorite tool.

Example

Let’s create a relative frequency bar chart from the data below using ChartExpo.

Continents	Very Satisfied (%)	Satisfied (%)	Neutral (%)	Unsatisfied (%)	Very Unsatisfied (%)
North American	30	40	15	10	5
South American	20	50	5	15	10
Asian	25	35	20	15	5
European	40	30	10	15	5
African	35	25	20	10	10
Australian	20	50	20	5	5

• To get started with ChartExpo, install ChartExpo in Excel.
• Now Click on My Apps from the INSERT menu.

• Choose ChartExpo from My Apps, then click Insert.

• Once it loads, scroll through the charts list to locate and choose the “Stacked Column Chart”. This chart is best suited to this scenario.

• You will see a Stacked Column Chart on the screen.

• Click the “Create Chart From Selection” button after selecting the data from the sheet, as shown.

• ChartExpo will generate the visualization below for you.

• If you want to have the chart’s title, click Edit Chart, as shown in the above image.
• Click the pencil icon next to the Chart Header to change the title.
• It will open the properties dialog. Under the Text section, you can add a heading in Line 1 and enable Show.
• Give the appropriate title of your chart and click the Apply button.

• You can add the dollar sign with Y-axis values as follows:

• You can add the dollar sign with inner bar values as follows:

• You can change the colors of bars by clicking on the small pencil icon of legends as follows:

• Click the “Save Changes” button to persist the changes.

• Your Stacked Column Chart will appear as below.

Insights

• Australia: 50% satisfied.
• South America: 50% satisfied.
• Europe: Leads with 40% “Very Satisfied.”
• South America: Highest dissatisfaction, with 15% unsatisfied and 10% very unsatisfied.
• Africa: 10% unsatisfied and 10% very unsatisfied.

FAQs

What is relative frequency in a graph?

Relative frequency in a graph shows how often a category or data point occurs compared to the total. It’s usually displayed as a proportion or percentage, helping you understand the data distribution within the entire dataset.

What is a bar graph for relative frequency?

A bar graph for relative frequency shows the proportion of data points in each category. The height of each bar represents the relative frequency, or percentage, of occurrences. It helps compare the frequency of different categories easily.

How do you find relative frequency in a bar chart?

To find the relative frequency in a bar chart:

• Divide the frequency of a category by the total number of data points.
• Multiply the result by 100 to get a percentage.
• Plot the result as the height of the bar for each category.

Wrap Up

A relative frequency bar chart is a simple yet powerful tool. It helps you compare how often categories occur relative to the total. Instead of dealing with overwhelming numbers, you can quickly see proportions. This makes it easier to understand patterns in your data.

The bars represent each category’s frequency. Their height reflects how frequently the category appears. The chart uses percentages or fractions, not raw counts.

This visual aid is great for spotting trends. It helps you identify which category stands out the most. It simplifies complex data and makes analysis faster.

You can use a relative frequency bar chart in various fields. From business to education, it’s versatile. Whether it’s customer feedback or survey results, this chart works for any data set.

Excel might be your go-to tool, but it has limits. It struggles to create clear, detailed visualizations. That’s where specialized tools like ChartExpo can help.

You gain more than a visual with ChartExpo’s relative frequency bar chart. You unlock insights that drive better decisions – ChartExpo is simple, efficient, and insightful.