How to Convert Excel Data to Graph?

Excel Data to Graph refers to the process of converting your spreadsheet data into visual charts within Excel to help you analyze and understand trends more easily.

By entering your data into rows or columns, selecting it, and using Excel’s chart tools, you can create visual representations like line charts, bar graphs, or pie charts. This makes complex data easier to interpret and helps you present your insights clearly for reporting, analysis, or decision-making.

If you have been to business meetings, you know that visual representations play a great role. Many professionals use charts or graphs to explain some aspects of the company. It could be a chart outlining the team’s development on a significant project. Or it might be visualizations that convert Excel data to graphs to compare the company’s revenues to those of its rivals.

In either case, the information is considerably simpler to interpret and absorb, thanks to these graphs and charts. One of the essential features of Microsoft Excel is its charts. Why so? Charts assist you in clearly presenting your data.

And that is just the tip of the iceberg!

You can exhibit your data in Excel using a variety of charts and graphs. What does that mean? It is possible to construct various complex charts and graphs in Excel by making little adjustments to the basic charts. Unfortunately, most Excel users don’t experiment with charting methods very much. You only need a little more work and can learn to convert Excel data into graph.

A tool like ChartExpo for Excel has the advantage of being targeted at a specific type of data to boost its readability. This article will explain how to use Excel to convert your data into charts.

Table of Content:

1. Why Do We Convert Excel Data to Graphs?
2. Video Tutorial: Turn Excel Data into Graphs
3. How to Convert Excel Data to Graphs?
4. Steps to Turn Excel Data into Graphs
   • Step 1: Enter Your Data
   • Step 2: Highlight the Data
   • Step 3: Insert a Chart
   • Step 4: Customize Your Chart
   • Step 5: Position and Resize the Chart
   • Step 6: Save and Export
5. Excel Turning Data into Graphs: Use Cases
6. Excel Data to Graph – FAQs
7. Wrap Up

But first, here is a closer look at some things.

Why Do We Convert Excel Data to Graphs?

Here is why we convert Excel data into a chart. By now, you must know what a misery it can be to navigate through data. It can be challenging to study and process big data sets. Consequently, it could be a difficult task to analyze it. Excel, on the other hand, can save the day.

Excel has functions that can quickly and conveniently process a lot of data. These spreadsheets make it easier to convert Excel data into charts, such as Box and Whisker plots, which are great for visualizing the distribution of data. But that is not even the best part. These functions are relatively simple, so anyone may use them to examine the data.

Excel is not just helpful but very necessary for data analysis because of how quickly, efficiently, and accurately it operates. It can help you save time while making it easy to analyze data without difficulty.

Want to see how it works? Continue reading.

Video Tutorial: Turn Excel Data into Graphs

How to Convert Excel Data to Graphs?

Before we convert Excel data to a graph, you must keep in mind some things. Microsoft Excel’s cells are excellent at holding information. However, long rows of data are typically not the greatest method to display the information to others.

Furthermore, they may make it harder to interpret the data yourself. Instead, learning chord diagrams can offer a more visually intuitive way to present and understand the data.

Thankfully, Excel offers a variety of chart formats, from traditional bar charts to 3-D area charts to circular pie charts. These charts, including the Sunburst graph, assist you in visualizing the cell data. Want to know the best part?

Excel can turn practically any bunch of data into a chart by using Excel data to graph converter. The trick is to arrange the data desirably and select the style of chart you like, whether it’s a circular graph, bar graph, pie chart, or even a Mosaic plot. So, how does an Excel data convert to graph Here, let’s get into the magic.

Fill out Excel with your info.
From the nine graph and chart possibilities, select one to create.
Highlight your data and select the suitable graph by clicking “Insert.”
Change the information on each axis as necessary.
Change the font and color scheme for your data.
Adjust the axis labels and legend size on your chart.
Alternatively, you can change the Y-axis measurement choices.
If necessary, rearrange your data.
Name your graph.
Export the graph or chart you created.

As you can see, convert Excel data into graph is not complicated. But we are not through yet. For more advanced visualizations and impactful presentations, consider incorporating data storytelling techniques to effectively convey your data’s narrative.

Steps to Turn Excel Data into Graphs

You can convert Excel data to graphs using a variety of data visualization tools. These can be simple, complicated, intuitive, or obtuse. ChartExpo is among the best tools available and is used as an Excel data-to-graph converter. It allows you to display all of your data to obtain the insights you need at a glance.

• To get started with the ChartExpo add-in for Excel, install it using this link.
• Launch Microsoft Excel.
• Open the worksheet, then select Insert to show the My Apps menu.

• After choosing the ChartExpo Add-in, select the Insert button.

• The Excel application will receive the Add-in. It might ask you to log in if you aren’t logged in already.
• As soon as this add-in launches, a list of available charts appears.

• Then, scroll through the numerous chart templates until you see the “Radar Chart”.

Example:

Let’s say you own an online business with three different products: TVs, smartphones, and PCs. After a year, you would be curious to see how your sales have changed with each product after using various digital marketing strategies. For instance, you have the following data and want to use data visualization to examine this report.

Step 1: Enter Your Data

Months	TVs	Smart Phones	Computers
Jan	80	100	50
Feb	65	60	55
Mar	75	95	51
Apr	80	75	40
May	90	100	45
Jun	85	60	30
Jul	65	95	39
Aug	70	75	45
Sep	80	109	56
Oct	93	80	39
Nov	99	109	48
Dec	80	75	44

Step 2: Highlight the Data

Step 3: Insert a Chart

Step 6: Save and Export

• Once your graph is ready, save your Excel file. You can also copy the chart into presentations or export it as an image for easy sharing.

Here is the catch.

You can quickly assess the performance of your product sales from the given radar chart. You can see that in January, smartphones accounted for the majority of sales. Similarly, Computer sales are down, while smartphone sales are up in March. This visual aid makes it simple to comprehend your sales report at a glance.

Excel Turning Data into Graphs: Use Cases

We will use another example to help you understand more: how does an Excel data convert to graphs? Suppose you are a business owner who recently employed four new salespeople.

You want to review the report of their sales performance to determine if they are performing well or not. In this case, a Treemap could be particularly useful.

Like a Treemap visualizes hierarchical data by representing it as nested rectangles, which allows you to see the proportion of sales performance for each salesperson at a glance, helping you easily identify top performers and those needing improvement

In that case, the Comparison Bar Chart is the perfect tool for doing so. Assuming you obtained the information below, let’s get to work.

Months	Name	Sales
March	Alan	90
March	David	82
March	Lewis	66
March	Boris	72
April	Alan	85
April	David	62
April	Lewis	50
April	Boris	73
May	Alan	40
May	David	60
May	Lewis	80
May	Boris	76

You have the following chart using ChartExpo.

In another example, assume a digital marketing firm is interested in visualizing a company’s monthly sales numbers. At the same time, the company wants to demonstrate how the profit margin has changed. It has the following data to evaluate:

Months	Revenue	Profit Margin
Jan	5000	5
Feb	2500	10
Mar	3600	7
Apr	3250	14
May	1975	19
Jun	1874	20
Jul	3952	6
Aug	2222	9
Sep	4260	4
Oct	3300	22
Nov	1500	17
Dec	1160	9

The following Double-axis line and Bar Chart are available with ChartExpo.

This chart lets you easily grasp your annual revenue over profit margin analysis. With the help of this analysis, you may increase the profit you make from your company’s operations. The graph’s blue bars represent revenue, and the yellow line shows how your revenue’s profit margin has changed over the year.

Let us dig a little deeper!

Imagine you want to evaluate ChartExpo’s data to determine what steps to take to increase the profitability of your business. The Sankey chart is the greatest visual representation of this kind of data. Consider that you have gathered the information below.

Locations	Revenue	Expenses	P&L Analysis	Count
North America	Revenue	Loss	Cost of Sales	132
North America	Revenue	Loss	Cost of General and Administrative	159
North America	Revenue	Loss	Cost of Marketing	170
North America	Revenue	Profit	Tax	182
North America	Revenue	Profit	Profit After Tax	834
International	Revenue	Loss	Cost of Sales	162
International	Revenue	Loss	Cost of General and Administrative	158
International	Revenue	Loss	Cost of Marketing	145
International	Revenue	Profit	Tax	171
International	Revenue	Profit	Profit After Tax	753
Middle East	Revenue	Loss	Cost of Sales	155
Middle East	Revenue	Loss	Cost of General and Administrative	166
Middle East	Revenue	Loss	Cost of Marketing	199
Middle East	Revenue	Profit	Tax	151
Middle East	Revenue	Profit	Profit After Tax	685

You have the following chart using ChartExpo.

Let’s go back briefly to our previous question on why we convert Excel data to graph. Graphs and charts are crucial because they enable audiences to assess data swiftly and recognize relationships. They aid in simplifying the data so that the audience can easily understand and remember it. Understanding how to make a graph from a table further enhances this process, ensuring that the visual representation is accurate and effective.

Excel Data to Graph – FAQs

What are the Advantages of Transforming Data into a Graph?

To make it simpler to grasp vast amounts of data, as well as the relationships between various series of data. Excel has different chart types that can display data in understandable ways.

How do I enter data into Excel for a graph?

• Open Excel and select a blank worksheet.
• Enter your data in rows or columns with clear headers.
• Keep your data organized and consistent for easy chart creation.

How to turn data into a graph in sheet?

• Highlight the data you want to graph.
• Go to the “Insert” tab and choose a chart type (Line, Column, Pie, etc.).
• Customize your chart by adding titles, labels, and adjusting styles.
• Save your sheet with the graph for future use or sharing.

Wrap Up

Thanks to the competitive modern world, there is so much data gathering in the corporate sector today. As a result, we need a way to visualize the data to understand it. Thankfully, data visualization helps us understand what the information means by providing it with a visual context through maps or graphs. As a result, the data is easier for the human mind to understand.

Data visualization, one of the crucial processes in the business intelligence process, takes the raw data, models it, and visually presents it. It may support you in any business or job by delivering data most effectively. That makes it simpler to spot trends, patterns, and outliers in enormous data sets.

One of the best upgrades for data analysis is ChartExpo. ChartExpo, a tool for advanced analytics. It helps you convert Excel data to a graph for better visualization. Its use of advanced charting techniques is one of the things that sets Excel experts apart from newbies.

To sum up, data visualization makes it simple to ensure your data is as optimal as possible. In addition to making the information more memorable for stakeholders, visualization can help you start asking the correct questions. Finding opportunities in your data using data visualization tools like ChartExpo is quite helpful.