No doubt Excel is great for handling data and performing any analysis on it but you’ll agree when we say Excel spreadsheet has limitations that can break your data story.
For starters, Excel comes with a limited library of charts you can use to visualize your data.
Well, the solution is not to ditch your beloved Excel. There’s a tool that comes with advanced Excel charts to supercharge your favorite spreadsheet. And it gets better.
This tool comes with over 80 advanced Excel charts and graphs. Read the blog in its entirety to discover the tool you need to create stunning and insightful charts.
In this blog post, we’ve rounded up strategies and a visualization tool you can use to get the most out of your data with Excel. Keep reading if your goal is to take your data storytelling skills to the next level.
In this blog, you’ll discover:
You’ll agree when we say that poring over spreadsheets of data is time-consuming. You don’t want to undertake a task that software performs efficiently.
If you want to extract in-depth, actionable insights from your data, you’ve got to use charts. And this is where spreadsheet tools, such as Excel, come in.
The spreadsheet app mentioned above comes pre-loaded with advanced Excel charts. And you can use these charts to create data stories that make sense to your audience.
Some of the advanced Excel charts and graphs are amazingly easy to read and understand.
So how can you visualize data using advanced Excel charts?
From the diagram above, although there is option for more charts, but it is obvious that Excel has a smaller library of charts because many of the charts of similar type. And this means Excel is not all-encompassing for visualizing data.
You need a tool that’s loaded with more charts.
Why?
To know the best chart that complements your data story, you’ve got to test with diverse audiences. More so, you’ve got to have enough charts to select the right one depending on your goals and the nature of the data.
So what’s the solution?
The tool we always recommend to our clients is ChartExpo.
Well, this highly pocket-friendly and easy-to-use tool comes as an add-in for Excel.
Besides, it comes with a super user-friendly interface to provide you unlimited access and convenience. So, you don’t need programming or coding skills to use it.
ChartExpo has multiple advanced Excel charts and graphs, plus more. Yes, you read that right.
To get started with ChartExpo for Excel add-In, follow the simple and easy steps below.
Let’s take a look at the examples below. You’ll get to see how you can access advanced Excel charts and graphs in Excel.
You don’t want to miss the next section.
Notice (in the screenshot above) 2 variants of Pareto Charts you can use to visualize your data for insights. We’ll use the Pareto Bar Chart for our example below.
Let’s use the table below.
City | Current Profit | Previous Profit |
New York | 540 | 510 |
Chicago | 550 | 545 |
San Francisco | 115 | 99 |
Los Angeles | 572 | 533 |
Seattle | 93 | 85 |
Boston | 88 | 63 |
Phoenix | 497 | 485 |
Atlanta | 115 | 80 |
Philadelphia | 489 | 470 |
Miami | 87 | 67 |
Dallas | 107 | 115 |
Houston | 570 | 580 |
St Louis | 97 | 90 |
So what are the insights?
Remember, Pareto is one of the advanced Excel charts and graphs you can use to extract in-depth, actionable insights.
Imagine you own a restaurant and you want to establish whether the existing customers can recommend your brand to others. You’ve already collected data.
The only part remaining is selecting the right chart.
Where would you start?
This is where ChartExpo comes in. This tool comes loaded with charts tailored-made specifically for surveys. We’ll use CSAT Score Survey Chart (NPS Chart – Located in the Specialized Survey Charts category).
Let’s use the table below for our scenario.
Question | Rating | Count |
Would you recommend our restaurant? | 0 | 10 |
Would you recommend our restaurant? | 1 | 45 |
Would you recommend our restaurant? | 2 | 61 |
Would you recommend our restaurant? | 3 | 80 |
Would you recommend our restaurant? | 4 | 123 |
Would you recommend our restaurant? | 5 | 75 |
Would you recommend our restaurant? | 6 | 41 |
Would you recommend our restaurant? | 7 | 88 |
Would you recommend our restaurant? | 8 | 45 |
Would you recommend our restaurant? | 9 | 544 |
Would you recommend our restaurant? | 10 | 209 |
So how do you interpret an CSAT-Score-Survey-Chart Chart?
The restaurant brand’s Score is 24. This chart categorizes respondents into the following groups.
Subtracting the percentage of Detractors from Promoters yields the Net Promoter Score (which is 24 in our scenario). More so, the score ranges from -100 (if every customer is a Detractor) to +100 (if every customer is a Promoter).
NPS score is solved using the formula below.
NPS Score = % of Promoters — % of Detractors
Remember, NPS Score Chart is one of the advanced Excel charts you can use to extract in-depth insights from your survey data.
Let’s build on the earlier example.
Imagine you’ve gathered customer feedback from all the key departments of your restaurant brand. You want to compare the performance across 3 years to optimize for maximum customer satisfaction and revenue.
We’ll use a Comparison Sentiment Chart because we have multiple survey data points to visualize.
Let’s use the table below for our scenario.
Year | Service | Sentiment | Count |
2018 | Ease of Ordering | Positive | 11 |
2018 | Ease of Ordering | Negative | 12 |
2018 | Cleanness | Positive | 29 |
2018 | Cleanness | Negative | 50 |
2018 | Services | Positive | 20 |
2018 | Services | Negative | 33 |
2018 | Payment Method | Positive | 2 |
2018 | Payment Method | Negative | 4 |
2018 | Wait Time To Be Seated | Positive | 55 |
2018 | Wait Time To Be Seated | Negative | 12 |
2018 | Quality of Food | Positive | 12 |
2018 | Quality of Food | Negative | 7 |
2018 | Menu Readability | Positive | 16 |
2018 | Menu Readability | Negative | 11 |
2018 | Seating Space Area | Positive | 8 |
2018 | Seating Space Area | Negative | 8 |
2018 | Call | Positive | 4 |
2018 | Call | Negative | 3 |
2018 | Attitude of Waiter | Positive | 3 |
2018 | Attitude of Waiter | Negative | 5 |
2018 | Cost | Positive | 12 |
2018 | Cost | Negative | 15 |
2019 | Ease of Ordering | Positive | 15 |
2019 | Ease of Ordering | Negative | 12 |
2019 | Cleanness | Positive | 51 |
2019 | Cleanness | Negative | 1 |
2019 | Services | Positive | 28 |
2019 | Services | Negative | 12 |
2019 | Payment Method | Positive | 4 |
2019 | Payment Method | Negative | 2 |
2019 | Wait Time To Be Seated | Positive | 45 |
2019 | Wait Time To Be Seated | Negative | 11 |
2019 | Quality of Food | Positive | 12 |
2019 | Quality of Food | Negative | 8 |
2019 | Menu Readability | Positive | 16 |
2019 | Menu Readability | Negative | 18 |
2019 | Seating Space Area | Positive | 13 |
2019 | Seating Space Area | Negative | 18 |
2019 | Call | Positive | 4 |
2019 | Call | Negative | 1 |
2019 | Attitude of Waiter | Positive | 3 |
2019 | Attitude of Waiter | Negative | 8 |
2019 | Cost | Positive | 17 |
2019 | Cost | Negative | 16 |
2020 | Ease of Ordering | Positive | 18 |
2020 | Ease of Ordering | Negative | 12 |
2020 | Cleanness | Positive | 59 |
2020 | Cleanness | Negative | 20 |
2020 | Services | Positive | 30 |
2020 | Services | Negative | 10 |
2020 | Payment Method | Positive | 2 |
2020 | Payment Method | Negative | 0 |
2020 | Wait Time To Be Seated | Positive | 55 |
2020 | Wait Time To Be Seated | Negative | 7 |
2020 | Quality of Food | Positive | 18 |
2020 | Quality of Food | Negative | 10 |
2020 | Menu Readability | Positive | 22 |
2020 | Menu Readability | Negative | 14 |
2020 | Seating Space Area | Positive | 13 |
2020 | Seating Space Area | Negative | 16 |
2020 | Call | Positive | 4 |
2020 | Call | Negative | 1 |
2020 | Attitude of Waiter | Positive | 2 |
2020 | Attitude of Waiter | Negative | 4 |
2020 | Cost | Positive | 13 |
2020 | Cost | Negative | 14 |
A Comparison Sentiment Diagram is one of the advanced Excel charts and graphs you can use to extract actionable insights.
Imagine you run a beauty brand. You want to identify customers’ sentiments towards your products.
Where would you start?
Yes, you got it right. Start by comparing the count of negative and positive ratings of the products in the inventory.
Let’s use the table below for our scenario.
Month | Positive Count | Negative Count | Difference |
Mar | 4571 | 1524 | 3047 |
Apr | 4259 | 1645 | 2614 |
May | 4755 | 1976 | 2779 |
Jun | 4566 | 2273 | 2293 |
Jul | 4317 | 1598 | 2719 |
Aug | 3763 | 1421 | 2342 |
So what are the insights?
Imagine you run a Google Ads campaign. You want to optimize your account by pausing unproductive keywords with respect to the following metrics:
Which chart would you use to visualize your campaign data for actionable insights?
This is where a Matrix Chart comes in.
Let’s use the tabular data below for our scenario.
Category | Sub Category | Period | Measure |
Mobile | Impressions | Current | 2470 |
Mobile | Clicks | Current | 109 |
Mobile | Conversions | Current | 3 |
Mobile | Cost | Current | 2030.9 |
Smartphone | Impressions | Current | 2459 |
Smartphone | Clicks | Current | 35 |
Smartphone | Conversions | Current | 1 |
Smartphone | Cost | Current | 803.1 |
Phone | Impressions | Current | 2256 |
Phone | Clicks | Current | 112 |
Phone | Conversions | Current | 4 |
Phone | Cost | Current | 2160 |
Mobile Phones | Impressions | Current | 1802 |
Mobile Phones | Clicks | Current | 87 |
Mobile Phones | Conversions | Current | 1 |
Mobile Phones | Cost | Current | 1469.9 |
Cellphones | Impressions | Current | 750 |
Cellphones | Clicks | Current | 56 |
Cellphones | Conversions | Current | 0 |
Cellphones | Cost | Current | 531.1 |
Mobile shop | Impressions | Current | 637 |
Mobile shop | Clicks | Current | 58 |
Mobile shop | Conversions | Current | 0 |
Mobile shop | Cost | Current | 1559.6 |
Free phones | Impressions | Current | 627 |
Free phones | Clicks | Current | 38 |
Free phones | Conversions | Current | 0 |
Free phones | Cost | Current | 377.6 |
Prepaid Phones | Impressions | Current | 626 |
Prepaid Phones | Clicks | Current | 21 |
Prepaid Phones | Conversions | Current | 2 |
Prepaid Phones | Cost | Current | 488.4 |
Cheap Phones | Impressions | Current | 619 |
Cheap Phones | Clicks | Current | 47 |
Cheap Phones | Conversions | Current | 0 |
Cheap Phones | Cost | Current | 4024.3 |
New Phones | Impressions | Current | 587 |
New Phones | Clicks | Current | 21 |
New Phones | Conversions | Current | 0 |
New Phones | Cost | Current | 477 |
Latest Mobile Phones | Impressions | Current | 474 |
Latest Mobile Phones | Clicks | Current | 31 |
Latest Mobile Phones | Conversions | Current | 2 |
Latest Mobile Phones | Cost | Current | 586.6 |
Best Phone | Impressions | Current | 445 |
Best Phone | Clicks | Current | 23 |
Best Phone | Conversions | Current | 0 |
Best Phone | Cost | Current | 487.3 |
Mobile Price | Impressions | Current | 440 |
Mobile Price | Clicks | Current | 28 |
Mobile Price | Conversions | Current | 4 |
Mobile Price | Cost | Current | 565.4 |
So what are the insights?
To visualize your data with advanced Excel charts, you have to supercharge your spreadsheet with a third-party add-in.
The add-in that seasoned data visualization experts use is ChartExpo.
This tool has advanced charts to ensure you’ve got enough diagrams to choose from for your data story.
Line Charts are among the most popular visualizations seasoned experts use to display patterns and trends in data. These charts are amazingly easy to read and interpret, even for non-technical audiences.
You can easily access Line Chart and Scatter Plot templates in your Excel.
As we said earlier, visualizing data in Excel comes with limitations that can break your data story.
Why?
The spreadsheet tool mentioned above comes with a shallow library of charts. And this means there’re advanced Excel charts and graphs you can only access via a third-party add-in.
The third-party add-in we recommend you to use to create easy to read charts is ChartExpo. And this is because:
Use ChartExpo as your data visualization partner to create data narratives that attract instant buy-in.
We will help your ad reach the right person, at the right time
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