The stacked chart wasn’t terrible.

She already formatted it, following all the usual dataviz and accessibility principles. (White outlines, brand colors, direct labels instead of legends, sequential colors for a sequential variable, only labeling the min and max on the scale, using sufficient color contrast, etc.)

The challenge was that her chart was going into a dynamic dashboard, so depending on which filters were selected, the numbers might be really big, really small, or even zero.

We needed to think forward and plan for all those different scenarios.

Challenge: A Single Stack is Lonely

Another challenge was that her chart looked lonely.

I don’t love stacked charts for a single stack.

I don’t have peer-reviewed articles to back this up; it’s a personal preference.

Stacks are extroverts. They thrive with their friends, like this:

Challenge: Stacked Charts are Tough for Tiny Slices

Remember how her chart was going into a dynamic dashboard?

So depending on which filter(s) were selected, the numbers might be really small.

Stacked charts are terrible for small slices. They’re hard to label, and even harder to see.

You’ve run into this, haven’t you? It’s a common dataviz headache.

Challenge: Stacked Charts are Tough for Zeros

Another common dataviz headache is that stacked charts are terrible for zeros.

Because they literally can’t show zeros. There’s nothing to visualize.

Sure, I’ve seen people try all sorts of workarounds, like adding text boxes off to the side that explain that a category isn’t shown because the number was a zero. But that’s messy and time-consuming.

Solution: Use Columns/Bars Instead of Stacks

I often recommend changing the stacked bar/column into a regular bar/column, like this.

(Should you use vertical columns or horizontal bars? I’m using vertical columns here because this particular graph is sequential.)

(Worried you’ll have to delete the chart and start from scratch? No way! It’s faster than that. You can change the chart type with just a few clicks.)

Can you see how regular bar/column charts work better for tiny numbers?

Can you see how regular bar/column charts work better for zeros?

And don’t worry — regular bar/column charts still work when comparing multiple categories, too. We’d simply make a small multiples layout, like this.

Your Turn

These principles can and should be applied to every software program.

As you can see, I’m using everyday software (Excel) in these examples.

Have any how-to Excel questions? Comment here and let me know. I’ll post a link to an existing tutorial, or I’ll make a brand new tutorial for you.

a sliceable Gantt chart that automatically updates and populates itself when you add more rows to your dataset (i.e., no tedious manual updates).

How to Make Sliceable Gantt Charts in Excel

You can watch the high-level tutorial here:

What’s Inside

• 0:00 Intro
• 1:08 The end product: Sliceable in Excel. or printed/PDFd
• 1:52 Gantt chart options in Excel: 1) Stacked bar chart or 2) Inside cells, like this
• 3:50 Dataset
• 5:51 Pivot table
• 6:29 Slicer
• 6:40 List of projects and their amounts
• 8:30 Helper cells to the left and above
• 9:55 AND formula to fill in the body of the table
• 11:18 Conditional formatting
• 12:50 Theme Colors
• 13:40 Your Homework List
• 14:17 Want more details? Watch the 2.5-hr livestream
• 14:37 Download this Gantt chart

Download the Excel File

It’s here.

Related Resources

• The full livestream where I created this from scratch
• Helper cells

What’s Inside

• 0:00 Welcome
• 0:30 1. The before version
• 1:25 2. Table
• 1:36 3. Heat table
• 1:42 4. Donuts
• 2:05 5. Donuts with top icons
• 2:43 6. Donuts with side icons
• 2:58 7. Icon array 
• 3:05 8. Icon array with gray
• 3:20 9. Stacked bars in portrait
• 3:35 10. Stacked bars in landscape
• 3:45 11. Dots with dumbbells
• 4:02 12. Dots with arrows. 
• 4:06 Vote!
• 4:18 How-to tips (Spreadsheet to download; 2 YouTube lives)

Download the Excel File

It’s here: Download

I’d go to the public library, grab a dog-eared book off the shelf, and flip through the grayscale images trying to match the author’s screenshots to my own computer.

They were always using a different version of Excel than me.

I couldn’t find the buttons from their blurry screenshots.

I had to zig-zag my eyes back and forth between the book and my screen.

That’s how I learned Excel. And it was terrible.

Introducing the Excel How-To’s Templates

That’s why I spent hours and days and weeks making the Excel How-To’s templates for you.

Rather than having a separate book open, you’ll learn directly from Excel.

All the instructions are typed directly into Excel for you – alongside the living, breathing graphs – so you can save precious time.

Or, if you’re not interested in learning all the how-to steps, you can use the completed templates for your own project. There are notes telling you exactly where to type your own numbers and percentages so that they’ll show up in the finalized charts. No need to reinvent the wheel.

What’s Inside: 31 Templates

There are 31 templates so far.

I make updates and additions a few times a year, and send the latest Zip folder to everyone to make sure they’ve always got the latest version.

Chart Chooser

In addition to the graphing instructions, you’ll see my 2-page Chart Chooser, which’ll help you narrow down which chart to try.

Theme Colors and Theme Fonts

You’ll also get step-by-step instructions for setting up your organization’s brand colors and brand fonts. Themes save time and help you look professional.

Available In

Inside each template, you’ll learn which version of Excel that chart’s available in.

Most charts can be made on most computers.

There are some exceptions here and there, which is why it’s explicitly spelled out for you.

Uses

You’ll learn what that chart type’s best for.

And, I’ve added notes about where that chart is most or least common. In practice, we don’t see every chart in every workplace. Some charts are pretty much only seen in peer-reviewed journal articles. Other charts are pretty much only used by accountants. And so on.

Real-Life Examples

Inside each of the templates, you’ll see links real-life examples. Then, you can see how that chart has been used in reports, slideshows, dashboards, infographics, and websites by other agencies like yours.

Before-After Editing Example

Then, you’ll get a preview of the before-after transformation that you’re about to create.

For example, in the bump chart tutorial, you’ll transform a regular ol’ line chart into a ranking chart.

Below, you’ll get ideas for how you’d adapt that busy bump chart for a presentation (by graying everything out and highlighting one category at a time).

Step 1: Set Up the Table

You’ll walk through step-by-step instructions to make and edit all the 31 charts.

Step 1 is setting up your data table that’ll feed into the chart.

For native charts – bar charts, pie charts, line charts, etc. – the table set-up is extremely straightforward.

But for non-native charts, we have to get creative.

For example, in the population pyramid tutorial, you’ll see:

• the original table, and
• the magic table.

I’ve added notes to help you figure out what goes where.

The gray area gets pulled directly into the chart, so those are the values you’ll tweak when you’re making population pyramids for your own projects.

Step 2: Insert a ___ Chart

As we’re building non-native charts, we have to fool Excel.

We often insert one chart type… and disguise it to look like a different chart.

This took me nights and weekends, over several years, to figure out on my own. Let’s get you up to speed immediately! No need to waste your time fighting with Excel on your nights and weekends.

You’ll see explicit instructions about which chart type to add.

For example, to create a waffle chart (a.k.a. square pie), you’ll need to insert a 100% stacked bar chart first.

Step 3 (and onward): Format Format Format

This is where you’ll learn about Excel’s lesser-known features.

For example, you’ll learn how to adjust the primary and secondary axes’ Series Overlap and Gap Width, which makes our bars overlap.

I don’t find these edits to be intuitive at all. Quite the opposite! That’s why I’ve added screenshots for you – so you don’t have to memorize which buttons to click.

Variations

Finally, you’ll see variations of each chart.

For example, in the dot plot tutorial, you’ll see how to set up:

• 2 sets of circles with a line connecting them
• 2 sets of circles without a line connecting them
• 1 set of circles (a lollipop)
• Smaller dots with labels above or beside the dots
• Arrows
• Arrows, sorted (my personal fav)

Get the Excel How-To’s Templates

They’re included with your Data Storytelling in Excel tuition.

In this video, you’ll see more than a dozen different charts that are possible inside Microsoft Excel.

What’s Inside

• 0:00 Intro
• 0:17 Dataviz On The Go
• 0:36 3 Levels of Excel Skills
• 1:05 Level 1: Overused Native Charts (Bars, Lines, Pies, etc.)
• 2:35 Level 2: Underused Native Charts (Combo, Tree, Sunburst, Maps, etc.)
• 4:01 Level 3: Non-Native Charts (Population Pyramids, Dumbbell Dots, Lollipops, etc.)
• 5:02 Disguises Needed for Non-Native Charts
• 5:54 Interactive Dashboards in Excel (Excel Tables, Pivot Tables, Pivot Charts, and Slicers)
• 6:16 Static Dashboards in Excel (Made in Excel, but Saved/Shared as PDFs)
• 6:41 Your Turn
• 6:55 A Personal Note

3 Levels of Excel Vizardry

I’ve taught data visualization in Excel a dozen different ways over the years.

Nowadays, I teach Excel dataviz based on the degree of behind-the-scenes hacking needed to produce that chart.

We start easy. Then, we work up to harder battles.

Here are the three Levels of Excel Vizardry:

• Level 1: Overused Native Charts
• Level 2: Underused Native Charts
• Level 3: Non-Native

Let’s go through some of the Excel secrets in more detail.

Level 1: Overused Native Charts

These are the familiar faces:

• Pies
• Donuts
• Bars and columns
• Clustered bars and clustered columns
• Stacked bars and stacked columns
• Line graphs

What are Native Charts?

“Native” charts mean they’re available from our menu with just a few clicks:

What’s Wrong with Overused Charts?

There’s nothing wrong with a bar chart here or there… but any chart gets boring when we show it over and over and over and over and over and over.

There’s also the issue of analytical depth — or lack of depth.. If we’re only using bar charts… then we’re only showing totals and averages. There are dozens more statistical approaches!

Beware! Formatting Needed

Stacked bar charts, for example.

They’re easy to make.

But we still have to:

• enlarge the font;
• darken the font (to pass official Accessibility rules for color contrast);
• directly label the data (so viewers aren’t relying on the colored legend alone — another Accessibility rule);
• outline the touching shapes in white (which helps with colorblindness and grayscale printing);
• show fewer increments in the scale (so it’s not so busy);
• decide whether to apply a dark-light contrast — or not (learn about data storytelling here); and
• adjust the gap width (if you want) to nudge the bars closer together.

Level 2: Underused Native Charts

This is where it starts getting fun!!

Excel can make:

• Combo charts (e.g., a column chart with a target line, as shown below)
• Overlapping Bars
• Area charts (where you shade the area underneath the line for better oomph and high color contrast)
• Slopes (a line chart with exactly 2 points in time, like pre and post)
• Small Multiples Lines (to combat the spaghetti line graph)
• Bumps (for rankings)
• Scatter plots (x and y)
• Bubble charts (x, y, and z)
• Tree maps (for nested categories)
• Heat Maps
• Sunbursts (nesting)
• Box and Whisker (to go beyond averages and show the min, quartile 1, median, quartile 3, and max)
• Waterfall (how pieces add to a net number)
• Radar (to compare several ordinal categories at once)
• Icons & Symbols (to make our graphs easier to navigate — and more memorable!)

Yes, These are Native Charts 🙂

Well… if you’re using the latest version of Excel.

If you’re on outdated software, (most of) these charts are still possible. They just get harder to make, i.e., they’re in Level 4 territory.

Yes, Underused Native Charts Add Variety (and Analytical Depth)

We’re not just adding variety for variety’s sake.

(Although common sense — and hundreds of consulting projects — has shown me that dataviz novelty is one of the best ways to increase engagement.)

Most importantly, we’re adding analytical depth. For example, a regular ol’ bar chart just compares the average or total of several categories. What if we compare them by location, too? Now we’ve got a heat map! We can spot geographical patterns, which would’ve been impossible in a bar chart.

Beware! Formatting Needed

Scatter plots are easy to make.

But we still have to:

• enlarge the font;
• darken the font (to pass official Accessibility rules for color contrast);
• add a key (that each dot represents one student);
• label the scales (with everyday language, like More skills gains, because scatter plots are notoriously difficult to read for people who don’t stare at graphs all the time); and
• decide whether to add a dark-light contrast.

Level 3: Non-Native Charts

Are you already using a variety of charts? Have you actually analyzed your data (beyond averages, and beyond totals)? Can you adjust the gap width, annotate the data, and apply colors strategically in your sleep?

Then you’re ready for Level 3!

With behind-the-scenes elbow grease, you can make:

• Stream Graphs
• Waffles
• B’Arcs
• Small Multiples Bars
• Population Pyramids
• Diverging Stacked Bars
• Lollipops
• Dots
• Swarm Plots
• Tile Grid Maps
• Sankey Diagrams

What are Non-Native Charts?

You won’t find any buttons that automatically make these charts.

Instead, we have to insert one chart type… and disguise it as something else.

For example, we have to insert a stacked bar chart… and disguise it as a waffle chart. You’ll need a Magic Table behind the scenes, too.

A stacked bar chart gets disguised as a population pyramid. Yes, you’ll need a Magic Table with placeholder values.

A scatter plot gets disguised as a dot plot, and so on. Each value gets assigned a x-y placeholder location inside the Magic Table.

Do these maneuvers turn your brain inside out and upside down? You’re not alone.

Learn More

If you’re consistently making, editing, and applying graphs from Level 3, you’re already a vizard. Get in touch so I can send work your way!

If you’re in Level 1 or 2, you’ll love Data Storytelling in Excel. You’ll go slow and steady so you don’t feel overwhelmed. You’ll dip your toe in… and then you’ll be swimming in the deep end in no time.

In this tutorial, you’ll see a few ideas for transforming tables with check marks.

These tiny tweaks can be accomplished in everyday software like Excel.

What’s Inside

• 0:00 Intro
• 0:18 The “before” version
• 1:05 Decluttered
• 1:38 Left-aligned text for speed-reading
• 1:57 X’s into checks with built-in checkmarks
• 3:05 Filled vs. empty squares (with Webdings g and c)
• 4:48 Dark vs. light circles (with Webdings n)
• 5:47 Showing totals with tallies at the bottom
• 6:10 Showing totals with tallies at the right with countif, concatenation, and rept
• 6:48 Bars or stacked bars
• 6:59 The before-after transformation

Related Resources

How to Add Checkboxes to Excel

Download the Spreadsheet

It’s here.