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Mar 03 2023

How to Make Great Graphs in Excel: 4 Levels of Excel Vizardry

Are you drowning in the deep end of Excel?

First, dip a toe in. And then another.

You’ll be swimming confidently before you know it.

4 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 4 Levels of Excel Vizardry:

  • Level 1: Exploratory Viz
  • Level 2: Overused Native Charts
  • Level 3: Underused Native Charts
  • Level 4: Non-Native Charts

Level 0 would be Data Visualization Best Practices, like articulating which chart to use, when. I can’t get into the nitty-gritty details hacking Excel to make population pyramids… if someone’s never heard of a population pyramid before. That’s a separate course altogether.

Level 5 would be adapting those charts for specific contexts, like for interactive dashboards. That’s a separate course, too.

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

Level 1: Exploratory Viz

We can make sparklines, data bars, and heat tables within seconds.

These miniature charts help us spot key patterns instantly.

Easy to make! And an instant payoff!

I love starting private workshops and online courses with exploratory viz.

I’ve blogged about these skills over and over and over because they’re the perfect launchpad. Here’s my latest tutorial.


Level 2: 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!

Snooze. And no analytical depth.

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 3: 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 4: Non-Native Charts

Have you mastered Levels 1, 2, and 3? 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 4!

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
  • 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 4, you’re already a vizard. Get in touch so I can send work your way!

If you’re in Level 1, 2, or 3, you’ll love Great Graphs in Excel. We’re meeting LIVE for 10 weeks this spring. In our very first class, you’ll make the Exploratory Viz from Level 1. Then, you’ll make graphs from Levels 2, 3, and 4. 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.

Written by cplysy · Categorized: depictdatastudio

Mar 02 2023

Information design is not data visualization.

Referring to data visualization as information design is like referring to survey design as evaluation.  Yes, evaluators tend to design surveys.  But there is way more to being an evaluator than designing a survey.

Learning how to be an information designer requires more than learning how to create nice looking charts, infographics, presentations, and reports.  And while designing all these different things usually falls into the realm of information design, there is so much more you can learn.

A few non-dataviz information design challenges…

  • How do I get my boss to give me the go-ahead on creating a new design?
  • When should I not use a chart?
  • How do I inspire an audience?
  • How do I simplify this information?
  • What communication forms could I use to share this information?
  • How do I find stories in this information?
  • I have access to lots of things, where do I even start?
  • How do I do creative work when I’m not inspired?
  • When should I keep things complicated?
  • How can I limit iterations and feedback loops?
  • Can I adapt this long report into a website?
  • Can I turn this website into a string of social media infographics?
  • How do I shepherd a team-based creative project to completion?
  • How do I know if my designs are working?
  • Do I have access to the right tools?
  • How do I make this more accessible?
  • How do I get better feedback from my team or boss?
  • What would make this report interesting?
  • How do I cocreate this design with my audience?
  • How do I deal with rejection?
  • Do I need to listen to this feedback?
  • Could this dashboard be an email?
  • How do I win a design argument with my boss?
  • How do I test my design?
  • When should I use a grid?
  • What fonts should I use?
  • Is this a good color?

Information design is not one thing but lots of little things.

For data people like us, data visualization is certainly part of information design. It’s just not anywhere near all of it.

When I started teaching information design I thought I could build out a series of self-paced modules to answer a lot of the questions I was getting asked.  Then I could just teach a few tools and that would create enough value to be worth buying.

But the more I talked to data people about their struggles and challenges the more little questions I would find myself answering.  It’s why my workshop is now an academy built around a community. It’s why I teach live.  Because developing your information design skills isn’t about learning one big skill or tool but learning lots and lots of little things.

And whenever anything requires lots and lots of little things, the best thing you can do for yourself is to find a supportive community.  Preferably one with a facilitator who really really cares about your progression and wants to see you find your best.

Because a good information designer can create nice looking charts, infographics, presentations, and reports. 

A great information designer can inform, engage, inspire, and convince.

We need more great information designers.

My latest eBook on doing creative things.

Over the last decade I’ve learned a lot about doing creative work professionally.  I tried to think about the things that were the same whether I was designing charts, drawing cartoons, or developing online learning communities. It takes more than just technique and artistic talent to create on a deadline.

I decided to put 10 of my favorite tips and strategies into an eBook.

The eBook is free, you can download it here.

Click here to get the eBook.

Written by cplysy · Categorized: freshspectrum

Mar 01 2023

Take of Tour of the “Excel How-To’s” Templates

Remember those “Excel for Dummies” books?

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: 28+ Templates

There are 28+ 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 28+ 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 Great Graphs in Excel tuition.

Written by cplysy · Categorized: depictdatastudio

Mar 01 2023

Ask Nicole: What is a Public Health Social Worker?

Have a question you’d like to be featured? Let me know. There are two things I know for sure about social work and public health: One: Social work and public health are naturally complimentary fields, perfect partners in improving community health and wellbeing. Two: People are just as confused about what public health is as […]

The post Ask Nicole: What is a Public Health Social Worker? appeared first on Nicole Clark Consulting.

Written by cplysy · Categorized: nicoleclark

Feb 27 2023

New Tip Sheet: Tips for Conducting Interviews

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Eval Academy just released a new Tip Sheet, “Tips for Conducting Interviews”

Who’s it for?

If you will be conducting interviews in your evaluation, then this tip sheet is for you! Whether you’re new to the process or have conducted interviews before, this tip sheet provides a good overview and refresher to make your next interview experience a great one.

What’s the purpose?

This tip sheet highlights our 5 top tips to ensure:

  1. Your interviews collect rich data.

  2. Your interviewees have a good experience.

It also includes links to other Eval Academy resources to guarantee informed consent within your interviews.

What’s included?

A printable 1-page tip sheet that defines our 5 top tips.


Get the tip sheet



Learn more: related articles and links

You can learn more about collecting qualitative data on Eval Academy through the following links:

  • How to conduct interviews

  • How to use Calendly to schedule interviews like a pro

Some helpful Eval Academy resources to collect and track your qualitative data include:

  • Interview Tracking Log Template

  • Excel Interview Tracking Log Template

  • Standard Interview Guide Template

  • Standard Interview Information Letter Template

  • Standard Interview Consent Form Template

  • Standard Interview Templates Bundle


What do you think of our new tip sheet? Let us know in the comments below!

Written by cplysy · Categorized: evalacademy

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