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Work Samples

Infographics, Posters, and Graphical Abstracts

 

This is a graphical abstract. The title is The Case of the Disappearing Teaspoons: Longitudinal Cohort Study of the Displacement of Teaspoons in an Australian Research Institute. The authors of the article on which this abstract is based are Megan S C Lim, Margaret E Hellard, and Campbell K Aitken. The original article was published in the British Medican Journal in 2004, volume 131, pages 24 to 31. The abstract says: Teaspoons are an essential part of office life. The rapid rate of teaspoon disappearance shows their availability, and therefore office life, is under constant assault. Investigators placed 70 teaspoons in eight tea rooms at their research institute. After five months, 56 teaspoons, or 80 percent, had disappeared. Teaspoon loss was greater in communal tea rooms than in program specific tea rooms. Investigators estimated that about 18 million teaspoons fo missing in Melbourne, Australia, each year. How much is 18 million teaspoons? Laid end-to-end they measure 2,700 kilometers, or the length of the coastline of Mozambique. Their mass is 360 metric tons, or the mass of four adult blue whales. To maintain a workable number of teaspoons, 70 teaspoons for 140 employees, the institute would need to purchase 253 teaspoons per year, at a cost of about 75 U S dollars. This graphical abstract was created by Data Soapbox.
This is an infographic. Title: Prelude to the Recipe. A systematic ish review of food blogs. Body text: Social media is sprlinked with a very specific observation about food blogs: They often spend a lot of time introducting their recipets. We reviewed recipes from 101 popular food blogs in an attempt to quantify this phenomenon. (Note: Detailed methodology, dataset, and data sources are available at https://tinyurl.com/v8m3naya.) We counted Number of words introducing the recipe plus Number of words comprising the recipe equals Total words. (Note: Even though there are usually words below the recipe, we assumed that most people skipped those.) The introduction makes up more than half (58%) of an average recipe post. Recipe introductions include ads, directions and techniques, F A Qs, historical information, ingredients, personal stories, photos, related recipes, serving and storage suggestions, tips and tricks, variations and substitutions, and videos. Breakfast recipes tend to have the least intro material; beverages have the most. There is a bar graph. The y (vertical axis) reads Intro: Percent of Total Post, and it runs from 0 to 100 percent. The x (horizontal) axis shows categories and numbers of posts. Bar 1: Breakfast, 9 posts, 46% introduction. Bar 2: Dessert, 26 posts, 54% introduction. Bar 3: Side, 5 posts, 55% introduction. Bar 4: Snack, 4 posts, 57% introduction. Bar 5: Lunch dinner, 26 posts, 57%. Bar 6: Salad, 13 posts, 65%. Bar 7: Topping, 10 posts, 66%. Bar 8: Beverage, 4 posts, 75%. Bar 9: Miscellaneous, 4 posts, 65%. The text continues: There is a small relationship between intro length and blog popularity (bivariate correlation = 0.21). Posts with shorter introductions tend to come from slightly more popular and influential blogs. (Source note: American Food Bloggers. The top American food blogs ranked by popularity and influence, updated daily. https://americanfoodbloggers.com Top 40 in US rankings on June 11, 2021.) There is a scatter plot graph with 40 points. The y (vertical) axis reads Intro: Percent of Total Post, and it runs from 0 to 100%. The x (horizontal) axis is labeled Blog Ranking, and it runs from 40 to 1. There is a slightly positive trend line marked through the dots. The bottom of the infographic says From the kitchen of Data Soapbox.
This is an image of a research poster. The title is "Yep, I'm a virgin...again. Inconsistent reports of sexual intercourse among South African high school students." The Data Soapbox logo is in the upper right corner, along with the following note: Original poster citation: Palen, L., Smith, E. A., Caldwell, L. L., Flisher, A. J., Wegner, L., & Vergnani, T. (2007, November). Inconsistent reports of sexual intercourse among South African high school students. Poster presented at the annual meeting of the American Public Health Association, Washington, DC. Research funding: NIH R01 DA01749, NIH T32 DA017629-01A1. The introductory text says: "Accurate measurement of sexual behavior is criticalfor public health surveillance and evaluations of sexual health programs and policies. However, measurement of private behaviors, like sex, is prone to error. Previous studies have shown that between 4 and 12% of adolescents report their lifetime sexual behavior inconsistently over time(i.e., report being sexually active in a survey, and then report never having had sex in a subsequent survey). If we know more about the types of people who tend to inconsistently report sexual behaviors, it might suggest strategies to reduce measurement error." There is a box called "Study Design," which shows that the study involved 2,414 students from Mitchell's Plain, South Africa. They completed 5 surveys: at the beginning and ending of 8th grade, the beginning and end of 9th grade, and the beginning of 10th grade. The sample was restricted to 713 students who reported lifetime sexual intercourse in at least one survey. 40% reported never having had sex after reporting being sexually active in a previous survey. Next, there is a box titled "Logistic Regression Results." The first column is titled statisticall significant predictors of inconsistency, and it lists inconsistently reported lifetime substance use, including use of alcohol, cigarettes, marijuana, and inhalants. The second column is titled Non-significant predictors of inconsistency, and it lists demographics (including gender and age) and motivation/ability to respond accurately (including having failed a grade in school, inconsistently reporting gender, and inconsistently reporting birth year). The final box is titled "Potential Strategies to Reduce Measurement Inconsistency." This box lists the following: • Give extremely clear and specific directions for how to interpret and respond to risk behavior questions. • Maximize verbal, written, and physical assurances of privacy. • Use longitudinally-linked electronic surveys to identify and remedy inconsistencies during survey administration.

Data Visualizations

 

This graph is titled Rock Around the Clock: When Do Earthquakes Happen. It includes a cocks comb or nightingale chart. There are cocentric circles representing number of earthquakes of magnitude 3 or greater in the past month. The middle of the circles represents zero earthquakes, the outermost circle represents seventy earthquakes. There are 24 wedges of varying lengths radiating from the middle of the circle; each represents one hour of the day. The graph shows slightly higher earthquake activity between midnight and sunrise, and in the early afternoon. Starting at the top of the circle and going clockwise, here are the values of the wedges: noon, 62 earthquakes, 2 of which were signficant; 1 p m 55 quakes, 0 significant; 2 p m 55 quakes, 1 significant; 3 p m 43 quakes, 0 significant, 4 p m 43 quakes 0 significant, 5 p m 32 quakes 0 significant, 6pm 41 quakes 1 significant, 7pm 47 quakes, 0 significant, 8 p m 30 quakes 1 significant, 9 p m 45 quakes 0 significant, 10 p m 42 quakes 0 significant, 11 p m 54 quakes 0 significant, midnight 47 quakes 1 significant, 1 a m 47 quakes 2 significant, 2 a m 58 quakes 0 significant, 3 a m 53 quakes 2 significant, 4 a m 48 quakes 2 significant, 5 a m 53 quakes 0 signifficant, 6 a m 49 quakes 0 significant, 7 a m 51 quakes 0 significantm 8 a m 40 quakes 0 significant, 9 a m 38 quakes 0 significant, 10 a m 41 quakes 0 significant, 11 a m 35 quakes 1 significant. The data source note reads: United States Geological Survey Earthquake Hazards Program https://earthquake.usgs.gov/earthquakes/feed/v1.0/csv.php Data downloaded January 12, 2022 Local time calculated based on longitude of earthquake epicenter and rounded to nearest hour; does not account for daylight savings time, if applicable.
This is a graph. The title reads In general, U S states and territories with a history of low COVID cases also had low COVID cases last week. Notable exceptions include Rhode Island and Arizona, which had good weeks, and Ohio and Guam, whith had rough weeks. The graph area is broken into four quadrants: low weekly cases, high all-time cases in the upper left, high weekly cases, high all-time cases in the upper right, low weekly cases, low all-time cases in the lower left, and high weekly cases, low all-time cases in the bottom right. The y (vertical axis) is labeled all-time cases per 100,000 residents, and it runs from zero to eighteen thousand. The x, horizontal axis is labeled past week cases per 100,000 residents. There are 55 dots, and they fall in a group that runs roughly from the lower left to the upper right. However, four outliers are marked: Rhode Island and Arizona, which fall in the upper left, and Ohio and Guam, which fall in the lower right. The data source is https://www.nytimes.com/interactive/2021/us/covid-cases.html; Accessed 9/16/21.
This is a scatterplot graph. The title is, In twenty twenty, Penn State football won bigger when the weather was colder. The y (vertical axis) is labeled temperature at kickoff in approximate degrees fehrenheit, and it runs from 20 to 80 degrees. The x (horizontal) axis is labeled point spread, and it runs from a Penn State loss by thirty points to a Penn State win by 40 points. There are nine points on the graph, in roughly a downward slope from upper left to lower right. The upper left point is labeled seventy-two degress, P S U versus Maryland, nineteen to thirty-five. The lower right point is labeled twenty-eight degres, P S U versus Illinois, fifty-six to twenty-one. The data source for temperature is https://www.wunderground.com/history; temperature at closest time at the following airports: State College Pennsylvania, Indianapolis, Lincoln Nebraska, Detroit, and Newark. The data source for the football schedule and scores is https://gopsusports.com/sports/football/schedule/2020
This is a graph. The title is "Galentine's Day! Uptake of the holiday that puts ovaries before brovaries." The introduction text reads: On February 11, 2010, Parks and Recreation’s Leslie Knope introduced the world to Galentine’s Day: Oh, it’s only the best day of the year. Every February 13th, my lady friends and I leave our husbands and our boyfriends at home, and we just come and kick it breakfast style. Ladies celebrating ladies. It’s like Lilith Fair, minus the angst. Plus frittatas. In the decade since, Galentine’s Day has received increasing attention from the media and lady friends everywhere." A line graph follows. The y (vertical) axis is number of print media references, and it runs from 0 to 600. The x (horizontal) axis is Year, and it runs from 2010 to 2020. The line is flat from 2010 to 2013, increasing somewhat from 2013 to 2018, and increasing steeply from 2018 to 2020. The 2020 datapoint is labeled "In 2020, newspapers, magazines, and other publications mentioned Galentine’s Day” in 594 articles." The data source is Data Source: ProQuest Central, Accessed June 1, 2021. https://about.proquest.com/en/products-services/ProQuest_Central/
This image shows an graph. The title is "After schools closed for COVID-19, reports of motor vehicle accidents dropped by half in Cary, NC." The y (vertical) axis says "Town of Cary, # Accident Reports," and it goes from 0 to 20. The x (horizontal) axis says, "First 3 weeks of March, 2019 and 2020," and it's labeled with each day. The graph shows two lines, marked 2019 and 2020. The lines wobble around each other...sometimes 2019 is higher, sometimes 2020 is higher, including on March, 2, 2020, when the first COVID-19 case was confirmed in Wake County and March 10, 2020, when Governor Cooper declared a state of emergency. However, after March 14, 2020, when Governor Cooper closed all NC schools, the 2020 line is always lower than the 2019 line. The Source note at the bottom of the graph reads "Town of Cary Accident Report Search, March 25, 2020, http://policereports.townofcary.org/accidentdetail.asp"
This is a graph titled, "In North Carolina, more densely populated counties generall have more COVID-19 cases." The y (vertical) axis is labeled, "Lab-confirmed COVID cases," running from 0 to 800, with a source note to the North Carolina Department of Health and Human Services COVID-19 North Carolina Dashboard, https://www.ncdhhs.gov/divisions/public-health/covid19/covid-19-nc-case-count#by-counties, accessed April 6, 2020. The x (horizonal) axis is labeled "People per square mile," running from 0 to 2,500, with a source note to North Carolina Budget and Management, Population density, 2020 estimate. https://demography.osbm.nc.gove/explore/dataset/population-voting-age-density-migration" Accessed April 6, 2020. This graph is a scatterplot, with one dot per county. Most of the dots are in the lower left corner of the graph (low cases, low population density). However, 4 dots are higher and farther right: Mecklenburg County (Charlotte), 733 cases; Wake County (Raleigh), 314 cases; Durham County, 191 cases; and New Hanover County (Wilmington), 45 cases.
This is a radial graph titled "Sleep Times for Toddler Boys and Girls, by age." The Data Source is Table 2 of Acebo, C., Sadeh, A., Seifer, R., Tzischinsky, O., Hafer, A., & Carskadon, M. A. (2005). Sleep/wake patters derived from activity monitoring and maternal report for healthy 1- to 5-year-old children. Sleep, 26(12), 1568-1577. The graph shows sleeping and waking times for toddlers at 12, 18, 24, 30, 36, 48, and 60 months. Regarless of age and gender, the average toddler went to bed around 9pm and woke around 7am. The only exception is 12-month-old boys, who went to sleep around 8pm on average.
This is a combined bar graph and line graph titled "Across the year, ice cream production is more stable than temperature. The y (vertical) axis runs from 0 to 80. The x (horizontal) axis shows the 12 months of 2018. A bar graph shows that ice cream production fluctuates between about 45 and 70 million gallons. A line graph shows that the average US temperature in degrees fahrenheit fluctuates between about 30 and 75 degrees.

Other Products

 

This image shows three pages from a report called High-Intensity Drinking, The Latest Findings from the Institute for Social Research, University of Michigan, January 2022. The report can be read, in full, at https://dx.doi.org/10.7302/3978
These are four sample pages from a report, The State of Diversity, Equity, and Inclusion at Augusta University, subtitle Results of the 2020 AU Campus Climate Survey. The pages include photos, a bar graph, hierarchy charts, and tables. The full report and its appendix can be accessed at https://www.augusta.edu/diversity/survey.php
This is a promotional infographic for QuantFish, a company that provides expert statistics training for researchers. It shows how Quantfish helps institutions maximize time, money, and resources. It lists expert instructors and provides learner quotes.
This is a sheet of logo concepts for a literacy research project. The logos are all in navy blue, teal, and white. The first concept has a child holding a book with an adult behind them. The second concept has a tree growing out of an open book. The third concept has a book that's turned into a butterfly. The fourth concept has the silhouette of an adult and child on the page of an open book.
The is a picture of a 1-page handout. The title is “6 Interesting Ways to Visualize a Percentage.” The introduction reads: “When you have complex analyses and many datapoints, these have the potential to be illustrated in really intricate and interesting ways. But, how can you make a single, really important datapoint visually interesting? Here are 6 suggestions for representing single percentages in presentations and reports.” Then there are images of six PowerPoint slides. The first slide reads "1. Blow up the type. 11% of North Carolinians are fully vaccinated against COVID-19." The second slide reads "2. Add a photo. 11% of North Carolinians are fully vaccinated against COVID-19." It has a picture of an older man receiving an injection. The third slide reads "3. Add a pie chart. 11% of North Carolinians are fully vaccinated against COVID-19." It has a pie chart showing 11%. The fourth slide reads "4. Add a photo AND a pie chart! 11% of North Carolinians are fully vaccinated against COVID-19." It has a pie chart showing 11%, overlaid on a picture of an older man receiving an injection. The fifth slide reads "5. Add a donut chart and icon. 11% of North Carolinians are fully vaccinated against COVID-19." It has a donut chart showing 11%, with a vaccine icon in the middle. The sixth slide reads "6. Add a pictogram. 11% of North Carolinians are fully vaccinated against COVID-19." It shows 11 yellow people icons and 89 gray people icons. At the bottom of the slides, there is text that reads “Data Soapbox is a research communication firm that helps our clients improve health and well-being. To learn more about working with us, visit datasoapbox.com. Data source: https://covid19.ncdhhs.gov/dashboard/vaccinations, accessed March 10, 2021.” The Data Soapbox logo is in the lower right corner of the handout.
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