Bar Chart vs Column Chart: Choose Right Visualization

Understanding the differences between bar charts vs. column charts is essential for effective data presentation and analysis.

Picture this: you’re preparing a presentation for your team, and you need to showcase your latest sales figures. As you ponder the best way to present the data, you find yourself at a crossroads. Should you go with a bar chart or a column chart?

Fear not, because in this blog post, we’ll unravel the mystery behind a column chart vs bar chart. We’ll help you make an informed decision that will captivate your audience.

The battle between bar charts and column charts has raged on for years. Both excel in representing data but do so in slightly different ways. Each has its own set of advantages and best-use scenarios.

The bar chart, with its horizontal orientation, offers a clear and straightforward way to compare categories. This makes it ideal for displaying data that involves distinct groups. Conversely, the vertical column chart presents data compellingly for individuals accustomed to scanning information from top to bottom.

These distinctions might seem subtle, but they are key to effectively conveying your data to stakeholders.

So, let’s unravel the key differences between a bar chart vs. column chart. This knowledge will help you wield these visual tools with finesse and precision.

Table of Content:

1. Define Bar Chart vs. Column Chart
   • What is a Bar Chart?
   • What is a Column Chart?
2. Video Tutorials: How to Create a Bar Chart vs. Column Chart
3. Types of Bar Chart vs. Column Chart
   • Performance Chart
   • Stacked Column Chart
   • Pareto Bar Chart
   • Combo Chart
   • Stacked Bar Chart
   • Stacked Column Chart
4. Key Differences Between Column Chart and Bar Chart
5. When to Use Column Chart vs. Bar Chart?
6. How to Create the Column Graph and Bar Graph?
7. 5 Tips for Creating Bar Charts vs Column Charts
8. Choosing the Right Type: Bar Chart vs. Column Chart
9. FAQ On Bar Chart Vs Column Chart
10. Wrap Up

Define Bar Chart vs. Column Chart

Let’s define these data visualization tools. This is the first step in understanding the difference between a column chart and a bar chart.

What is a Bar Chart?

Definition: A bar chart is a graphical representation of data that uses rectangular bars to display values. The length of each bar corresponds to the quantity it represents.

The bars are typically arranged horizontally along an axis, making it easy to compare the values. Bar charts effectively compare discrete categories and show relationships between different data sets. They are versatile and widely used in various fields to convey information straightforwardly.

What is a Column Chart?

Definition: A column chart is similar to a bar chart but uses vertical columns to represent data. Each column’s height correlates with the data it represents, making it easy to interpret and compare values.

Column charts are handy for illustrating trends over time or comparing distinct categories. They provide a visual means to analyze and understand numerical data. This makes them a popular choice for data presentation in reports, presentations, and statistical analysis.

Video Tutorials: How to Create a Bar Chart vs. Column Chart

How to Create a Bar Chart vs. Column Chart in Excel?

How to Create a Bar Chart vs. Column Chart in Google Sheets?

How to Create a Bar Chart vs. Column Chart in Power BI?

Types of Bar Chart vs. Column Chart

Let’s explore various bar chart vs column chart examples to help you gain a nuanced understanding.

Performance Chart

Look at the sales performance data below.

Products	Sales
Nail polish	995,096
Eyebrow pencil	920,812
Rouge	926,510
Eye shadows	1,174,196
Eyeliner	1,128,534
Foundation	1,020,138
Lip gloss	1,127,231
Mascara	814,314

Can you glean valuable insights from this raw data?

Not easy, right?

Now, look at the performance chart visualization of this data below. This chart makes the gleaning of insights effortless.

Stacked Column Chart

The sample data below contains product sales data at different locations.

Locations	Clothing	Accessories
Venice Street	885	150
Evo Mall	771	195
Dolphin Street	664	153
Tommy Avenue	647	124
Reno Street	549	116

You cannot glean valuable insights just by looking at this raw data. However, visualizing it on a Stacked Column Chart visualization, as below, makes its analysis easy.

Pareto Bar Chart

The table below contains data for an online shopping platform.

Products	Current	Previous
Garments	916	727
Electronics	286	138
Cosmetics	44	13
Toys	73	41
Furniture	77	54

The Pareto Bar Chart below presents this data digestibly, making it easy to glean insights.

Combo Chart

The data below is on car accessories orders and sales.

Products	Orders	Sales
Dash Covers	45	590
Seat Covers	60	390
Mirrors	80	590
Shifter Knobs	30	390
Window Tints	50	260
Floor Mats	70	710
Air Fresheners	40	170
Speakers	75	470

You can appreciate how the Combo Chart below maps this data for effortless gleaning of insights.

Key Differences Between Column Chart and Bar Chart

Let’s discuss the differences between a bar chart vs. column chart. These graphical representations simplify complex data sets, making it easier to identify trends and patterns.

• Orientation

Column Chart: Columns rise vertically from the horizontal axis.

Bar Chart: Bars extend horizontally from the vertical axis.

• Data Representation

Column Chart: Suited for showing trends over time or comparing items in a category.

Bar Chart: Ideal for illustrating categorical data where order is not a primary factor.

• Common Usage

Column Chart: Commonly used to show sequential or time-based data trends.

Bar Chart: Frequently employed for comparing discrete categories without a temporal context.

• Space Utilization

Column Chart: Vertical orientation may accommodate more categories along the horizontal axis. This is suitable for datasets with numerous sequential elements.

Bar Chart: Horizontal layout allows for extended labels without rotation, maximizing space utilization and readability.

• Data Comparison

Column Chart: Well-suited for comparing values within the same category across different groups.

Bar Chart: Facilitates quick comparison of values between different categories.

When to Use Column Chart vs. Bar Chart?

Choosing between a column vs. bar chart is not a matter of superiority but suitability. Each excels in specific scenarios based on spatial considerations, label lengths, and the nature of comparisons. Let’s explore the nuanced considerations for opting between a column chart and a bar chart.

Use a Column Chart When:

1. Vertical space is limited: A column chart is preferable when vertical space is at a premium. Its vertical orientation accommodates more categories along the horizontal axis, ensuring efficient use of limited space.
2. Category labels are lengthy: Column charts are well-suited for datasets with lengthy category labels. The vertical orientation allows these labels to extend without readability issues, ensuring clarity even with extended text.
3. Comparing values across groups: A column chart is the go-to choice when comparing values within the same category across different groups. The vertical columns align logically with this comparative analysis.

Use a Bar Chart When:

1. Horizontal space is limited: Opt for a bar chart when horizontal space is constrained. The horizontal orientation accommodates more categories with short labels along the vertical axis.
2. Many categories with short labels: Bar charts shine when dealing with numerous categories featuring short labels. The horizontal layout avoids label overlap, ensuring each category remains distinct and legible.
3. Comparing values across categories: A bar chart is the preferred choice if the primary focus is on comparing values between different categories. The horizontal bars make assessing and differentiating values across categories visually intuitive.

How to Create the Column Graph and Bar Graph?

As we have seen with the examples above, data visualization plays a crucial role in deciphering complex datasets. However, Excel lacks the finesse needed for effective visualization.

Therefore, creating and analyzing a column graph vs. a bar graph in Excel can be challenging.

This is where ChartExpo comes in, offering a solution to breathe new life into your visualizations. It opens doors to new and insightful visualizations, ensuring your data speaks volumes.

So, how does one create these visual delights in Excel using ChartExpo?

I’ll take you through the steps.

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 CTA’s to install the tool of your choice and create beautiful visualizations in a few clicks in your favorite tool.

Example

The sample data below contains stationery store sales orders for the last three quarters.

Quarter	Product	Sales Order
Quarter-1	Board Marker Box	700
Quarter-1	White Board	600
Quarter-1	A4-Size Sheets/ream	1000
Quarter-1	Blue Ball Points Box	500
Quarter-2	Board Marker Box	1000
Quarter-2	White Board	500
Quarter-2	A4-Size Sheets/ream	800
Quarter-2	Blue Ball Points Box	700
Quarter-3	Board Marker Box	1200
Quarter-3	White Board	700
Quarter-3	A4-Size Sheets/ream	800
Quarter-3	Blue Ball Points Box	1000

Follow these steps to visualize this data in a bar chart vs. column chart using ChartExpo.

• To use ChartExpo, first install it in Excel.
• Access My Apps under the INSERT menu.

• Choose ChartExpo and click the “Insert” button.

• After ChartExpo loads, choose the “Comparison Bar Chart” from the chart list.

• Select the data from the sheet, and click the “Create Chart From Selection” button.

• ChartExpo will create the visualization below for you.

• If you want to add a chart title, click the “Edit Chart” button.
• To modify the title, click the pencil icon next to “Chart Header”. Add the appropriate heading in Line 1 under the Text section. Enable the Show option and click the “Apply” button.

• Click the “Save Changes” button to ensure the changes are permanent.

• Your final Comparison Bar Chart will then resemble the image below.

Insights

• Board Marker Box and Blue Ball Points orders rose in Q2.
• Q3 witnessed substantial growth in Board Marker Box and Blue Ball Points sales.
• White Board sales maintained stability across the quarters.
• A4-Size Sheets/ream orders fluctuated, experiencing a slight decline in Q3.
• Overall, Q3 indicated significant sales expansion.

5 Tips for Creating Bar Charts vs Column Charts

1. Choose the Right Orientation

• Bar Charts: Use horizontal bars when you have long category names or need to emphasize comparisons across categories.
• Column Charts: Use vertical bars for time-based or sequential data to highlight trends over a period.

2. Limit Categories for Clarity

• Avoid including too many bars or columns, as it can make the chart cluttered and difficult to read. Stick to a manageable number (e.g., 5–10 categories).

3. Use Consistent Colors

• Apply a single color for all bars/columns unless distinguishing specific categories or series. For stacked charts, use a clear color palette to differentiate segments.

4. Add Data Labels and Axes Titles

• Include labels to display exact values on the bars/columns for clarity. Ensure axes titles are clear and descriptive to help viewers interpret the chart quickly.

5. Avoid Distorting Data

• Keep the baseline at zero to ensure an accurate representation of data. Avoid unnecessary 3D effects that can distort perceptions and mislead viewers.

Choosing the Right Type: Bar Chart vs. Column Chart

Choosing between a bar chart and a column chart depends on the data and its presentation. Bar charts use horizontal bars, making them ideal for comparing categories with long labels or displaying rankings.

In contrast, column charts use vertical bars, which are better suited for showing trends over time or sequential data. Understanding the nature of your data and the story you want to convey helps determine the most effective chart type.

FAQ On Bar Chart Vs Column Chart

What is the purpose of a column and bar chart?

Column and bar charts visually represent and compare data values. Columns in a vertical orientation are suitable for time-based or sequential data. Bars, in a horizontal layout, excel in comparing discrete categories, offering clarity and insights in data presentation.

How do I change a bar chart to a column chart in Excel?

To change a bar chart to a column chart in Excel:

1. Right-click on the chart.
2. Select “Change Chart Type.”
3. Choose the desired column chart option.
4. Click “OK.”
5. Excel will transform the chart, swapping bars for columns.

Wrap Up

Understanding the difference between bar charts vs. column charts is pivotal for crafting compelling visual narratives. The choice hinges on the nature of the data and the emphasis on either time-based trends or categorical comparisons.

With its horizontal orientation, a bar chart excels in presenting discrete categories. Conversely, a column chart, standing vertically, is well-suited for illustrating sequential or time-based trends.

A bar chart’s horizontal orientation excels in comparing categories with short labels. This makes it ideal for situations with limited horizontal space. Conversely, a column chart’s vertical layout is advantageous when vertical space is at a premium, accommodating more categories.

Understanding these differences empowers you to select the ideal chart type, ensuring clarity and precision in conveying insights. Moreover, the visual storytelling of these charts facilitates and enhances comprehension, aiding decision-making processes.

With ChartExpo, the choice between bar and column charts is an opportunity to elevate data storytelling. It ensures that every visual representation is a powerful conduit for understanding and decision-making.

Do not hesitate.

Embrace the differences between a bar chart vs. a column chart and leverage ChartExpo’s versatility to craft impactful visual narratives.