Bar Chart Hack #8: Double Duty Stacked Bars

This week I offer up my last bar chart hack. I came across this hack just recently in Philip Bump’s excellent Washington Post newsletter, How To Read This Chart. In the newsletter, he shares a chart from his book: The Aftermath: The Last Days of The Baby Boom and The Future of Power in America. The chart, shown below, is a sort of double-duty stacked bar chart. It not only makes use of the length of the bar segments to convey meaning, it also makes use of the width of the bars.

Here’s how Bump describes the chart: “The width of each column reflects the total percentage of the population for that generational group. The colored sections are the percentage that is each racial group. Black, Asian and Hispanic Americans of every age vote more heavily Democratic than Republican. It’s not just White young people who are more Democratic (though, among women, that is the case.) It’s that young people are less likely to be White and also more likely to vote against Republicans. The thesis of my book is that the baby boom (which backed Donald Trump by 3 points in 2020) is seeing its political and economic power fade, contributing to a number of the tensions we see in the moment. Between 2016 and 2020, the percentage of the presidential electorate that was baby-boom-aged or older went from 52 to 44 percent; the percent that was millennial or Gen Z went from 23 to 30 percent.”

Had Bump shown the percent of the population in different racial groups in one chart and the percent of the population in different generations in another chart, he would have provided fewer insights.

I encourage you to explore your data with this type of chart, showing the percent of your participants, donors, locations, etc. according to two different dimensions such as age group and zip code or giving level and giving history (recurring, one-time, major gift). It might yield important insights and help you to communicate them to others.

Source: The Aftermath by Philip Bump

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Let’s talk about YOUR data!

Got the feeling that you and your colleagues would use your data more effectively if you could see it better? Data Viz for Nonprofits (DVN) can help you get the ball rolling with an interactive data dashboard and beautiful charts, maps, and graphs for your next presentation, report, proposal, or webpage. Through a short-term consultation, we can help you to clarify the questions you want to answer and goals you want to track. DVN then visualizes your data to address those questions and track those goals.

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Bar Chart Hack #7: The Lollipop Chart

Reposted from February 2019

The lollipop chart provides a short and sweet addition to the 60-Second Data Tip series, “How to Hack a Bar Chart.”

A lollipop chart is nothing more than thin bars with circles on top. So why go to the trouble? Well, if you have a lot of bars of similar length, you should not go to the trouble. The circles will just make comparing the lengths of the bars more difficult.

But the lollipop chart can be helpful when you have a bunch of bars of varying lengths, and you want to set them apart in a visually interesting way. Also, you can use those circles as labels, as in the example above.

Check out these easy instructions for making lollipop charts in Tableau and Excel.

To see past data tips, click HERE.

Icons created by Ben Davis, Dinosoft Labs, and andrewcaliber from Noun Project.

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Let’s talk about YOUR data!

Got the feeling that you and your colleagues would use your data more effectively if you could see it better? Data Viz for Nonprofits (DVN) can help you get the ball rolling with an interactive data dashboard and beautiful charts, maps, and graphs for your next presentation, report, proposal, or webpage. Through a short-term consultation, we can help you to clarify the questions you want to answer and goals you want to track. DVN then visualizes your data to address those questions and track those goals.

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Bar Chart Hack #6: The Funnel Chart

Reposted from February 2019

Today we arrive at Episode 6 of the 60-Second Data Tip series, “How to Hack a Bar Chart.” As we have discussed, bar charts are user-friendly and familiar, but familiarity can breed contempt. So this week we consider yet another variation of the bar chart called the funnel chart.

The funnel chart is used to visualize a process and how the amount of something decreases as it progresses from one phase to another. You might think of it as a pipeline.

The example below shows the decreasing number of participants at each stage of a food service training program. We can see that few of those who attend orientation make it all the way to a job. And we can see where there is the most/least drop off. This funnel is also interactive. You can see the funnels for particularly subgroups by changing the filter at the top.

It looks cool and makes intuitive sense, but a funnel chart is just a bar chart on its side with a mirror image. Check out these easy instructions for making funnel charts in Tableau and Excel.

To see past data tips, click HERE.

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Let’s talk about YOUR data!

Got the feeling that you and your colleagues would use your data more effectively if you could see it better? Data Viz for Nonprofits (DVN) can help you get the ball rolling with an interactive data dashboard and beautiful charts, maps, and graphs for your next presentation, report, proposal, or webpage. Through a short-term consultation, we can help you to clarify the questions you want to answer and goals you want to track. DVN then visualizes your data to address those questions and track those goals.

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Bar Chart Hack #5: A Little Fine-Tuning Can Transform A Chart

Welcome back to the 60-Second Data Tip series, “How to Hack a Bar Chart.” This week we look at some graphical fine-tuning that can transform a traditional bar chart into something that’s more engaging and more informative.

First I’ll show. Then I’ll tell.

Take a look at Chart A below. Then take a look at Chart B.

Chart A

Chart B

Both are bar charts showing the same data. But B wins, hands down. Why?

Chart A truncates the Y-axis making the difference between large and small counties look bigger than it actually is. Chart B, by contrast, fills in the whole bar and darkens the portion not attending school or employed, thus giving us a sense of the size of both groups (those who are in and out of school and work) in large and small counties.

Chart B points us to the main takeaway with the title and annotations.

Chart B doesn’t have unnecessary and distracting visual elements such as gridlines and axes labels.

Chart B provides images to further emphasize the contrast between large and small counties.

To see past data tips, click HERE.

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Let’s talk about YOUR data!

Got the feeling that you and your colleagues would use your data more effectively if you could see it better? Data Viz for Nonprofits (DVN) can help you get the ball rolling with an interactive data dashboard and beautiful charts, maps, and graphs for your next presentation, report, proposal, or webpage. Through a short-term consultation, we can help you to clarify the questions you want to answer and goals you want to track. DVN then visualizes your data to address those questions and track those goals.

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Bar Chart Hack #4: Radial Charts

Reposted from February 2019

Welcome to Episode 3 of “How to Hack a Bar Chart.” This time we consider two bar chart subspecies that recast the regular bar chart in circular form. They may be eye-catching but be careful how you use them.

Radial Column Chart: (aka Circular Column Graph or Star Graph). As you can see in the example above, the bars on this chart are plotted on a grid of concentric circles, each representing a value on a scale. Usually, the inner circles represent lower values and values increase as you move outward. Sometimes each bar is further divided using color to show subgroups within each category. Because we are better at assessing length along a common scale, this type of chart isn’t ideal if you want viewers to accurately compare the lengths of each bar. However, these charts are great at showing cyclical patterns. Florence Nightingale used this type of chart (which she called a “polar area chart”) to show a cyclical pattern in the number and causes of death in the Crimean War.

View fullsize

This work is in the public domain in its country of origin and other countries and areas where the copyright term is the author's life plus 70 years or less.

Radial Bar Chart (aka Circular Bar Chart) is simply a bar chart in which the bars curve around a circle, like runners on a circular track. As you may recall, races on circular or oval running tracks include staggered starting lines so that runners on the outer (longer) tracks run the same distance as those on the inner (shorter) tracks. But the bars on a radial chart have the same starting line making it difficult to compare lengths. So skip the radial bar chart. Not worth the effort.

To see past data tips, click HERE.

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Let’s talk about YOUR data!

Got the feeling that you and your colleagues would use your data more effectively if you could see it better? Data Viz for Nonprofits (DVN) can help you get the ball rolling with an interactive data dashboard and beautiful charts, maps, and graphs for your next presentation, report, proposal, or webpage. Through a short-term consultation, we can help you to clarify the questions you want to answer and goals you want to track. DVN then visualizes your data to address those questions and track those goals.

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Bar Chart Hack #3: The Combo Chart

Reposted from January 2019

Welcome to another episode in the 60-Second Data Tip series, “How to Hack a Bar Chart.” As we have discussed, bar charts are user-friendly and familiar, but like all things familiar, they can be boring and easy-to-ignore. This week we consider—in about 30 seconds— how to combine a bar chart with another type of chart to wake us up and engage us.

Consider the two charts below. Both show the same data: fundraising goals vs. actual funds raised. The one on top uses bars for both categories. The bottom one uses bars for the goals and lines for actual amounts.

Which works better? I vote for the bottom one. It makes comparing values between two different categories easier because it uses not only different colors to distinguish them but different “encodings” (bars and lines).  The bottom chart gives us a clear view of when we are exceeding or falling short of our goals in any given month.

To see past data tips, click HERE.

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Let’s talk about YOUR data!

Got the feeling that you and your colleagues would use your data more effectively if you could see it better? Data Viz for Nonprofits (DVN) can help you get the ball rolling with an interactive data dashboard and beautiful charts, maps, and graphs for your next presentation, report, proposal, or webpage. Through a short-term consultation, we can help you to clarify the questions you want to answer and goals you want to track. DVN then visualizes your data to address those questions and track those goals.

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Bar Chart Hack #2: The Icon Bar Chart

Reposted from January 2019

Welcome to Episode 2 of “How to Hack a Bar Chart.” This mini-series shows you how to take something that works well and that folks understand and move it in a more creative and engaging direction. This time, you meet a close cousin of the bar chart, but this cousin is more interesting than its relative. It has icons.

This is what you should NOT do with icons: make them into bars. Here’s why: bar charts are powerful (if boring) because we can easily compare their lengths. When icons or images are used in place of bars, such comparisons are more difficult to make. See the first example below showing how many clients live in different types of homes. It’s quite a challenge to determine how many more clients live in suburban homes vs. high rises. That’s because the height of the icons are difficult to assess.

The second example makes it a little easier. But I’d argue that in both examples 1 and 2, the icons make the viewer’s job (comparing lengths) unnecessarily difficult.

The third example, introduces bars back into the bar chart and thus requires minimal viewer effort.

And the fourth further lightens the load by removing the Y-axis and directly labeling the bars and placing the bars closer together.

To see past data tips, click HERE.

Image credits: House by ANTON icon from the Noun Project, company by Angriawan Ditya Zulkarnain from the Noun Project, Farm by Ferran Brown from the Noun Project

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Let’s talk about YOUR data!

Got the feeling that you and your colleagues would use your data more effectively if you could see it better? Data Viz for Nonprofits (DVN) can help you get the ball rolling with an interactive data dashboard and beautiful charts, maps, and graphs for your next presentation, report, proposal, or webpage. Through a short-term consultation, we can help you to clarify the questions you want to answer and goals you want to track. DVN then visualizes your data to address those questions and track those goals.

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Bar Chart Hack #1: The Divergent Stacked Bar Chart

Reposted from January 2019

Last week I promised to arm you with useful bar chart hacks. The idea is to take something that works well and that folks understand but move it in a more creative and interesting direction.

So this week I give to you: The Divergent Stacked Bar Chart.

Okay, so you know what a bar chart is. And you probably know what a stacked bar chart is, even if you don’t call it that. It uses color to show the subgroups that comprise each bar (or larger group) in the chart like this:

Regular Stacked Bar Chart

Now the cool, or divergent, part. It’s easier to show you than to describe it. So take a look:

Divergent Stacked Bar Chart

As you can see, the the divergent chart aligns each bar around a common midpoint. So it’s much easier to compare, for example, positive and negative values across categories.

Stephanie Evergreen provides directions on making a divergent stacked bar chart in Excel. And here are instructions on creating such a chart in Tableau. Other data viz softwares can make this chart too.

For a much deeper dive into the data viz world’s debate over when and if to use divergent stacked bar charts, check out this article by Daniel Zvinca.

To see past data tips, click HERE.

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Let’s talk about YOUR data!

Got the feeling that you and your colleagues would use your data more effectively if you could see it better? Data Viz for Nonprofits (DVN) can help you get the ball rolling with an interactive data dashboard and beautiful charts, maps, and graphs for your next presentation, report, proposal, or webpage. Through a short-term consultation, we can help you to clarify the questions you want to answer and goals you want to track. DVN then visualizes your data to address those questions and track those goals.

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How To Hack A Bar Chart

Reposted from January 2019

Choosing a chart type is like making breakfast for your kids. Bar charts are Cheerios. You know they will eat it and it’s healthy. Now come the buts:

But #1:  Cheerios is boring and you wish they had a wider palate.

But #2: If you give them a quinoa breakfast bowl, it will go uneaten and you might as well have given them Cheerios.

When it comes to data visualization, Maarten Lambrechts says don't settle for Cheerios. He calls the problem “xenographobia” or the fear of weird charts. And he implores us to boost our viewers’ “graphicacy” by feeding them the equivalents of quinoa breakfast bowls in the chart world.

Here’s what I think. We should neither spook our children at breakfast time nor our funders, board members, and staff throughout the day. But we should try to slowly widen their palates. One way to do that is to take something they know and love and hack it a bit. Throw some nuts on the Cheerios. Use color in novel ways to enliven a bar chart.

Over the next several weeks, I will offer up different ways to hack a bar chart. Stay tuned!

To see past data tips, click HERE.

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Let’s talk about YOUR data!

Got the feeling that you and your colleagues would use your data more effectively if you could see it better? Data Viz for Nonprofits (DVN) can help you get the ball rolling with an interactive data dashboard and beautiful charts, maps, and graphs for your next presentation, report, proposal, or webpage. Through a short-term consultation, we can help you to clarify the questions you want to answer and goals you want to track. DVN then visualizes your data to address those questions and track those goals.

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Ideas You Should Steal From This Viz (Installment 7)

Today I offer up yet another steal-worthy viz: Emergency Calls Dashboard created with Tableau by Pradeep Kumar G. This one is genius. It seems to defy basic graphic design rules. It includes many charts and lots of small text and numbers and yet it’s readable and not overwhelming.

As you can see, the charts are contained within four rectangular views, each with the dimensions of a phone screen. Tableau dashboards can include layouts for different types of devices with varying screen sizes. When you publish these layouts, people viewing your dashboard experience a design optimized for their device (phone, tablet, or desktop.)

If you view the Emergency Calls Dashboard with a phone, you will see just one of the four views and can use the icons at the bottom of the screen to navigate to the other views, as shown in the image to the right.

Effective phone layouts usually:

• Limit a dashboard’s focus and content (you can only get so much on this small canvas),

• Reduce interactivity (dealing with filters on a phone can be annoying*), and

• Use a vertical orientation (vertical scrolling is easier than horizontal scrolling).

The Emergency Calls Dashboard has all of these features, so the phone view works quite well. Indeed, these phone views are so effective that they also work when laid out side-by-side in the desktop view.

When building dashboards for multiple device types, dashboard designers often start with the desktop view and then simplify that larger, more detailed design for the phone view. The Emergency Calls Dashboard demonstrates the benefit of beginning with the phone view. If you design a simple, readable phone view that makes effective use of its limited canvas, you can use this design to fit more information in the desktop or tablet layout. Even if you aren’t designing for multiple screen sizes, following the tips for effective phone layouts will serve you well, opening up possibilities for including more data in one view without overwhelming the user.

I’ve embedded the dashboard below so that you can interact with it.

*The Tableau Mobile app optimises filters for phones, making them pop and easier to use. It also allows for logical scrolling, swiping, pinching, and zooming. However, some of your users may not use the app.

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Let’s talk about YOUR data!

Got the feeling that you and your colleagues would use your data more effectively if you could see it better? Data Viz for Nonprofits (DVN) can help you get the ball rolling with an interactive data dashboard and beautiful charts, maps, and graphs for your next presentation, report, proposal, or webpage. Through a short-term consultation, we can help you to clarify the questions you want to answer and goals you want to track. DVN then visualizes your data to address those questions and track those goals.

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How To Make Your Data Viz More Accessible: Screen Readers and Keyboard Navigation

In a series of 60-second data tips, I’m taking on one basic accessibility issue at a time. This week it’s about screen readers and keyboard navigation. We do not all perceive in the same way. Some people with vision or physical limitations, navigate charts, graphs, and maps using only the keyboard (no mouse) and screen readers to understand the content.

A screen reader is an assistive technology primarily used by people with vision impairments. It converts text, buttons, images and other screen elements into speech or braille. Here’s one in action:

Source: Highcharts on YouTube

You can make your data visualizations more screen reader- and keyboard-friendly by doing the following:

1) Understand the capabilities of the tool you use to create visualizations.

Some simple Googling can help you to figure this out. For example, if you use Tableau, this page explains that once you publish and embed a Tableau dashboard into a web page that conforms to Web Content Accessibility guidelines (WCAG 2.0 AA), screen readers should be able to interpret them. Further, dashboards created in Tableau 2021.3 and later have a default top-to-bottom, left-to-right “focus order” (i.e. the order in which elements of a visualization are narrated by a screen reader).

2) Reduce the number of marks in visualizations.

Marks are the visual elements used to represent data in a chart, graph, or map. Think bars, lines, circles, etc. When there are a lot of marks, it can be difficult to understand a visualization using a screen reader. You can reduce the number of marks by:

• Including only the most important data points,

• Aggregating data points into groups (e.g. rather than showing the population of 40 cities with 40 bars, you could group them into small, medium, and large cities and show just three bars representing the average population for each group), and

• Adding filters that allow the user to see fewer data points at a time.

3) Add text that clarifies the content of the visualization

Titles, subtitles, captions, and legends make a visualization more accessible to everyone including those using screen readers.

If you are interested in a deep dive into accessibility issues and solutions, you can find plenty of information online including Chartability.

To see past data tips, click HERE.

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Let’s talk about YOUR data!

Got the feeling that you and your colleagues would use your data more effectively if you could see it better? Data Viz for Nonprofits (DVN) can help you get the ball rolling with an interactive data dashboard and beautiful charts, maps, and graphs for your next presentation, report, proposal, or webpage. Through a short-term consultation, we can help you to clarify the questions you want to answer and goals you want to track. DVN then visualizes your data to address those questions and track those goals.

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How To Make Your Data Viz More Accessible: Color Blindness

In a series of 60-second data tips, I’m taking on one basic accessiblity issue at at time. This week it’s color. About 1 in 20 people have color blindness meaning that two colors which appear distinct to a person with normal color vision may appear to be the same to a person with color blindness. There are different types of color blindness (as shown above), but the most common is red/green color blindness (aka deuteranopia). Becasuse color plays an important role in many data vizes by drawing attention to certain trends, distinguishing among categories, or illustrating relationships, we should be careful in choosing colors to make our visualizations accessible to more people.

Some data viz tools, such as Tableau, have built-in colorblind palettes. You can also generate an accessible color palette using an online generator like this one from Venngage.

Source: Accessible color palette generator by Venngage

If you are interested in a deep dive into accessibility issues and solutions, you can find plenty of information online including Chartability.

To see past data tips, click HERE.

Sources: Coloring for Colorblindness, Build Accessible Dashboards by Tableau, Accessible color palette generator by Venngage

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Let’s talk about YOUR data!

Got the feeling that you and your colleagues would use your data more effectively if you could see it better? Data Viz for Nonprofits (DVN) can help you get the ball rolling with an interactive data dashboard and beautiful charts, maps, and graphs for your next presentation, report, proposal, or webpage. Through a short-term consultation, we can help you to clarify the questions you want to answer and goals you want to track. DVN then visualizes your data to address those questions and track those goals.

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What's The Right Text Size to Make Data Viz Accessible?

Here’s another in a series of tips on how to make data visualizations accessible to audience members with issues that affect their ability to see or interact with a visualization. This week it’s text size.

The rule of thumb is: Text must not be smaller than 9 point in size. Ideally only minor text is rendered at 9 point (e.g. axis labels) while all other text is larger. The viz below has a lot of text, and most of it is 9 point. To increase its accessibility, I might increase the key sentences in the captions to 11 point. But, at the least, I’d bump up the 8 point text, near the bottom, to 9 point, which is what you see in the “After” version below.

If you are interested in a deep dive into accessibility issues and solutions, you can find plenty of information online including Chartability.

Source: Rural Hospital Closures - #ProjectHealthViz by Lindsay Betzendahl

To see past data tips, click HERE.

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Let’s talk about YOUR data!

Got the feeling that you and your colleagues would use your data more effectively if you could see it better? Data Viz for Nonprofits (DVN) can help you get the ball rolling with an interactive data dashboard and beautiful charts, maps, and graphs for your next presentation, report, proposal, or webpage. Through a short-term consultation, we can help you to clarify the questions you want to answer and goals you want to track. DVN then visualizes your data to address those questions and track those goals.

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How To Make Your Data Viz More Accessible, Tip#1

If you are trying to reach a large audience with your charts, maps, and graphs, then consider accessibility issues. Even if your data viz is meant for a small, specific audience, you may not be aware that certain people in the group are, for example, color blind or have other issues that affect their ability to see or interact with a visualization.

If you are interested in a deep dive into accessibility issues and solutions, you can find plenty of information online including Chartability. In a series of 60-second data tips, I’m taking on one basic accessibility issue at at time. This week it’s contrast.

Data visualizations must be perceivable to be accessible. This means that users can readily identify content using their senses: sight, sound, and touch. When the contrast between the critical content and the background or adjacent colors is low, the content can be difficult to perceive for some people. So shapes and large text should have more than a 3:1 contrast against background or adjacent content, and regular text should have more than a 4.5:1 contrast. Here’s a tool to determine contrast ratio.

The colors in the first stacked bar chart below have low contrast to each other (less than 2 to 1) and so some may have difficulty distinguishing among the bar segments. The second stacked bar chart, by contrast (pun intended), has a higher ratio (3 to 1) and thus is much easier to perceive.

To see past data tips, click HERE.

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Let’s talk about YOUR data!

Got the feeling that you and your colleagues would use your data more effectively if you could see it better? Data Viz for Nonprofits (DVN) can help you get the ball rolling with an interactive data dashboard and beautiful charts, maps, and graphs for your next presentation, report, proposal, or webpage. Through a short-term consultation, we can help you to clarify the questions you want to answer and goals you want to track. DVN then visualizes your data to address those questions and track those goals.

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Data Viz Resources You Should Know: Data Visualisation Catalogue

Here’s a new addition to my highly-curated resources list: the Data Visualisation Catalogue. I occasionally write a 60-second data tip describing a particular resource, including why I think it’s cool. And I link each of these tips to a resources list on my website.

What is it?

It’s simply a list of chart types with definitions. You can use it like you would a bird guide: you come across a chart you’ve never seen before in the wild and want to know more about it. In this case, you can review the chart icons in the “View by List” page to find one that looks like the one you’ve encountered. Or you can use it like you would a menu: you want a chart but are not sure what your options are. In this case, you can use the “Search by Function” page to find chart that best suits your purpose.

Who’s it for?

Anyone who wants to know more about charts.

Who’s behind it?

Severino Ribecca, a freelance designer in Poland, built and maintains the catalogue along with a blog on various data viz topics.

Why I think it’s cool

I love the simplicity of this site. There are other chart choosers online (easily found with a little Googling) but I find myself going back to this catalogue again and again when I need more information on a chart because it’s so user-friendly.

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Let’s talk about YOUR data!

Got the feeling that you and your colleagues would use your data more effectively if you could see it better? Data Viz for Nonprofits (DVN) can help you get the ball rolling with an interactive data dashboard and beautiful charts, maps, and graphs for your next presentation, report, proposal, or webpage. Through a short-term consultation, we can help you to clarify the questions you want to answer and goals you want to track. DVN then visualizes your data to address those questions and track those goals.

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Data Viz Resources You Should Know: Tableau Tim

Here’s a new addition to my highly-curated resources list: Tableau Tim. I occasionally write a 60-second data tip describing a particular resource, including why I think it’s cool. And I link each of these tips to a resources list on my website.

What is it?

Tableau Tim and Tableau Tim You Tube are treasure troves of videos on Tableau, a powerful tool for visualizing data in the form of interactive charts, graphs, and maps. These collections include how-tos, introductions to new functions in Tableau, quick tips, etc.

Who’s it for?

It’s really for anyone interested in learning more about Tableau, from the absolute beginner to the absolute veteran.

Who’s behind it?

Tim Ngwena is an analytics professional based at The Information Lab in the UK and a Tableau Ambassador from 2020-21.

Why I think it’s cool

Tim is what’s cool. He is an extremely good explainer. If you don’t know anything about Tableau, check out his video called Tableau explained in under 10 mins! And if you are looking for free Tableau training, you might check out his Tableau Desktop Crash Course which takes you for zero to a published dashboard in three hours.

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Let’s talk about YOUR data!

Got the feeling that you and your colleagues would use your data more effectively if you could see it better? Data Viz for Nonprofits (DVN) can help you get the ball rolling with an interactive data dashboard and beautiful charts, maps, and graphs for your next presentation, report, proposal, or webpage. Through a short-term consultation, we can help you to clarify the questions you want to answer and goals you want to track. DVN then visualizes your data to address those questions and track those goals.

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Data Viz Resources You Should Know: We All Count

In my IRL and virtual travels, I’ve come across many cool resources both for those wanting to stick their toes in data viz (and related topics) and those ready to dive into the deep end. So I’ve been thinking about creating a resource list on my website. The problem is: I sort of hate resource lists. They usually overwhelm me. They offer up too many resources which are poorly described or not described at all. And I end up hopping into a bunch of time-sucking rabbit holes and emerge cranky.

So I’m going to try slowly building a highly-curated resource list through 60-Second Data Tips. I will occassionally write a tip describing a particular resource, including why I think it’s cool. And I’ll link each of these tips to a resource list on my website. My first recommended resource is: We All Count.

What is it?

We All Count is a project to increase equity in data science. Data equity, according to We All Count, involves “principles of fairness, transparency, inclusion and justice regardless of who may be experiencing them. Overt or unintentional racism, sexism, classism, heteronormativity, colonialism, ableism, ageism, and religious intolerance are just a few factors that can skew the equity of any data project.” We All Count does its work through:

1. A data equity community including a newsletter and community forum;

2. Developing tools, case studies, practices, and systems to improve equity in data science including the Data Equity Framework which is a systematic way of looking at data projects;

3. Training people in how to bring data equity to their work; and

4. Consulting with organizations on data equity issues.

Who’s it for?

It’s mostly for data scientists looking for ways to collect and analyze data in a more equitable way. However, the site has some great tools for nonprofits concerned about using data more equitably including a Data Jargon Decoder. They also offer a series of free webinars about current issues in data science which sometimes include topics of interest to anyone dealing with data, not just data scientists. And you can ask questions about how to collect, interpret, and present data in an equitable way on their online forum.

Who’s behind it?

Heather Krause started We All Count. Heather is a mathematical statistician with experience working on complex data problems and producing real-world knowledge.

Why I think it’s cool

We All Count is focused on practical solutions to knotty data equity issues. They don’t just complain. They offer up real-world solutions to issues such as how to collect demographic data on surveys.

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Let’s talk about YOUR data!

Got the feeling that you and your colleagues would use your data more effectively if you could see it better? Data Viz for Nonprofits (DVN) can help you get the ball rolling with an interactive data dashboard and beautiful charts, maps, and graphs for your next presentation, report, proposal, or webpage. Through a short-term consultation, we can help you to clarify the questions you want to answer and goals you want to track. DVN then visualizes your data to address those questions and track those goals.

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It's Love Data Week!

What’s that?

Love Data Week is an international celebration of data, taking place every year during the week of Valentine's Day. Nonprofit organizations, universities, government agencies, corporations and individuals are encouraged to host and participate in data-related events and activities.

What’s in it for me?

Lots of free online events, many of which are relevant to nonprofit work such as workshops on data visualization, infographics, open (i.e. free) data, data privacy, etc. See a full list of events HERE.

Where can I learn more?

HERE.

To see past data tips, click HERE.

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Let’s talk about YOUR data!

Got the feeling that you and your colleagues would use your data more effectively if you could see it better? Data Viz for Nonprofits (DVN) can help you get the ball rolling with an interactive data dashboard and beautiful charts, maps, and graphs for your next presentation, report, proposal, or webpage. Through a short-term consultation, we can help you to clarify the questions you want to answer and goals you want to track. DVN then visualizes your data to address those questions and track those goals.

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Before Showing A Percentage, Read This

Reposted from October 2021 (And yes, I know that the percentages > 100%, that’s the joke. . . .)

Here’s what I’m going to do in 60 seconds today:

• Give you three percentages. They might be the type of percentages that you share in proposals, reports, your website, or in social media posts.

• Give you the backstory on these percentages.

• Convince you to think carefully next time you want to present a percentage.

Here goes.

#1: Two percent of clients in Program A dropped out in the first three days of the program.

#2: 60% of first time donors in March made a second gift.

#3: 25% of people who attended our XYZ event said that they were unlikely or very unlikely to recommend the event to others.

And here is the backstory on each of the percentages:

#1: Two percent of clients in Program A dropped out in the first three days of the program. Backstory: There were 50 participants in Program A. That means only one person dropped out.

#2: 60% of first time donors in March made a second gift. Backstory: There were 5 new donors in March. That means that 3 made second gifts.

#3: 25% of people who attended our XYZ event said that they were unlikely or very unlikely to recommend the event to others. Backstory: Eight people attended XYZ event. That means two people provided the low rating.

Did the backstories cast a different light on the percentages for you? Perhaps you were imagining more people were involved? When the numerator or the denominator is fairly small, it’s usually best to present both in raw numbers rather than give a percentage. The raw numbers present a clearer understanding of the situation that you’re trying to describe. In fact, when numbers are small, percentages can be downright misleading.

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Let’s talk about YOUR data!

Got the feeling that you and your colleagues would use your data more effectively if you could see it better? Data Viz for Nonprofits (DVN) can help you get the ball rolling with an interactive data dashboard and beautiful charts, maps, and graphs for your next presentation, report, proposal, or webpage. Through a short-term consultation, we can help you to clarify the questions you want to answer and goals you want to track. DVN then visualizes your data to address those questions and track those goals.

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9 Ways to Make Your Data Visualizations Stand Out

Data visualizers from around the world flex their muscles each week by creating charts, maps, and graphs using a common data set. It’s called Makeover Monday. Even if you don’t participate, it’s a great way to see the range of ways a single data set can be visualized and to consider the pros and cons of different approaches. Check out the Makeover Monday site which provides a wealth of information from past Makover Monday challenges including favorite vizes associated with each challenge. The Makeover Monday folks also shared this “Viz Checklist” with the world. And I’m offering it up as this week’s data tip. Use it next time you visualize data to ensure a polished result.

Source: https://www.makeovermonday.co.uk/

To see past data tips, click HERE.

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Let’s talk about YOUR data!

Got the feeling that you and your colleagues would use your data more effectively if you could see it better? Data Viz for Nonprofits (DVN) can help you get the ball rolling with an interactive data dashboard and beautiful charts, maps, and graphs for your next presentation, report, proposal, or webpage. Through a short-term consultation, we can help you to clarify the questions you want to answer and goals you want to track. DVN then visualizes your data to address those questions and track those goals.

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