Declutter Your Data: Excel Graph Pointers for Pros

Like a picture, a good graph is worth a thousand words (and a bad graph can take a thousand words to clarify). Whether you’re presenting contract volume trends, outside counsel spend, or cycle times, clear and effective visuals are crucial for driving informed decision-making.  

While Microsoft Excel is the most common tool for business analytics, its default settings leave a lot to be desired. Applying a few simple design principles can elevate your graphs to a professional level. Here are my top tips for making clean, impactful graphs in Excel. 

Eliminate Clutter 

Clutter is the enemy of effective communication. Every unnecessary element in a chart increases cognitive load and distracts from the key message.  

To streamline your graphs: 

• Remove chart borders – Borders add visual noise. Unless you have a specific reason to keep them, remove them from your graph.  

• Reduce or eliminate gridlines – If your chart is well-designed, gridlines shouldn’t be needed: the story should be clear at a glance. If gridlines must be used, make them light gray so they don’t compete with the data. 

• Avoid excessive tick marks – Simplify axes by using fewer labels and removing trailing zeros (e.g., use 1K instead of 1,000). 

• Delete unnecessary legends – If a single data series is displayed, a title and direct labeling often suffice. 

Be Intentional with Color 

Color is a powerful tool but should be used sparingly and strategically. If you ever find yourself using a default color scheme, stop, and consider these design suggestions: 

• Highlight key data points – Use a single accent color to draw attention to important trends or comparisons. 

• Use grayscale for secondary elements – De-emphasize less critical components by making them gray. 

• Be mindful of colorblind accessibility – Avoid red/green combinations and opt for colorblind-friendly palettes. 

• Maintain consistency – Use the same colors for similar categories across multiple graphs to reinforce understanding. 

Use Proper Alignment and Spacing 

If you have ever looked at a graph and couldn’t put your finger on why it looked off, it was likely an issue with element alignment. A well-aligned chart improves readability and professionalism.  

Consider the following carefully when designing your graph: 

• Left-align text – Center-aligned text can look unstructured and is harder to read. 

• Create clean lines – Use Excel’s alignment tools to ensure chart titles, labels, and data points are evenly spaced. 

• Leverage white space – Avoid stretching graphs unnecessarily; maintain margins to prevent visual overload. 

Directly Label Data for Clarity 

One of the simplest ways to improve a graph is to reduce the need for extra mental exertion to understand the data’s story. To do this: 

• Label data directly – Instead of a separate legend, place labels next to the corresponding data points. 

• Use callouts sparingly – When emphasizing key takeaways, add brief annotations directly within the chart. 

• Choose readable fonts – Stick to sans-serif fonts like Arial or Calibri, and ensure labels are neither too small nor too large. 

Focus on Your Message 

Graphs should tell a story, not just display numbers. As you write your data story, remember to:  

• Sequence data logically – Order categories in a meaningful way (e.g., chronological order for trends, largest to smallest for comparisons). 

• Use data sparingly – Too many data points can obscure the message; highlight what matters most. 

Before & After 

Let’s look at these principles in action.  Below is a default chart Excel created for the number of contracts negotiated by type across the four most-recent fiscal quarters: 

At first glance, this graph looks simple and pretty, but pay attention as you look at it: where do your eyes go? Do they bounce around? Can you easily identify trends or tell what the story is? 

Now look at the chart below, which applies many of the principles discussed in this post: 

This chart has removed clutter such as the outline and gridlines; instead of a legend, it labels its data directly; and it uses a single accent color to emphasize the most recent quarter’s numbers as the focal point of the graph.  

You may notice that this graph doesn’t apply every single design suggestion—and most graphs shouldn’t! Just know the tools in your arsenal so you can make informed, intentional decisions in your design choices.  

Now It’s Your Turn 

What story is your data telling? Is it clear, concise, and compelling? Or is it more messy, muddled, and unmanageable?  

A well-designed graph in Excel can transform raw data into compelling insights. By applying a few design principles, legal operations professionals can create visuals that drive better decision-making. Thoughtful data visualization is not just about aesthetics—it’s about respect for your audience and your data.