presentation of figures

How to present Tables and Figures: An Ultimate Guide

by Peter Ebasone | Jul 10, 2020 | Writing

Introduction

Tables and figures are a great way to communicate your data in an easy and visually appealing way. In this article, you will learn how to present tables and figures that clearly communicate your message, based on recommendations by most Journals and Universities. This article focuses on the practical issues and is suitable both for writing a manuscript for publication and for a thesis/dissertation.

Every Table or Figure MUST be a stand-alone as a sequel to the preceding text. The reader must be able to understand it without further reference. It should be clear, labelled, abbreviations defined, and have a caption and legends which describe it clearly with the aim of making it as simple as possible.

Tables and figures are numbered chronologically in the order in which they appear in the text (for example, Figure 1 is referenced in the text before Figure 2 and so forth). The order of numbering for figures is independent of that for tables (e.g. Table 1., Table 2. AND Figure 1., Figure 2.).

Every table and figure included in your work MUST be referred to in a preceding text, preferably using parenthesis. For example: “We found no association between smoking and coronary artery disease (Table 1).”, “As shown in Table 1,…” or  “Results are shown in Table 1.”

In the text, the word Figure can be abbreviated as “Fig.”, but “Table” should not be abbreviated.

Place each Table or Figure as close as possible to the sentence where you first referred to it in the text. This can be after the paragraph, on the next page or before the next heading.

Reference the author(s) or authority if the table or figure is from or adapted from someone else’s work. Include the words “Adapted from” or “Adapted with permission from” followed by the author’s name and a citation or link at the end of the caption.

The structure of an effective Table

Typically, a table is made up of a caption or title, column titles and a table body (which contains quantitative or qualitative data), it may also include footnotes (Table 1).

1. Caption (Title):

The Caption, also called Legend should clearly inform the reader of what the Table is all about and how it’s organized. Tables are read from top to bottom, so titles are placed above the body of the table and are left-aligned.

2. Column titles:

Column titles are short, descriptive and include the units of analysis.

3. Table body:

Information on tables is usually presented in columns (from top to bottom). When using numerical data with decimals, try to make the decimal points line up whenever possible.

4. Footnote:

You can use them to further explain the data presented in the table. You can use symbols or abbreviations in the table and provide their full meaning in the footnotes.

The structure of an effective Figure

Figures may be graphs, diagrams, photos, drawings, or maps. Pick the simplest Figure which can convey your message most effectively. They should not repeat the information found in the Tables. Like Tables, Figures should be centred horizontally on the page.

1. Figure captions

The Figure caption should be descriptive, concise and comprehensive. Unlike Tables, Figures are read from bottom to up, so captions are placed below the figure and are left-justified (Figure 1).

2. The Body of the Figure or Image:

The reader must be able to read details without straining the eyes, so the Figure should be large enough and have a good image resolution. When using graphs, include axes labels, scale and units.

Formatting of Tables and Figures:

• Generally, Table gridlines should be invisible and only horizontal lines separating the caption, column titles and footnotes from each other should be left visible. Some journals may have a custom design for all Tables and Figures. When you submit your manuscript, these journals can modify it to fit their design in the published version.
• When you have multiple Tables and Figures, be consistent with the design.
• Keep Tables simple, preferably in black and white. Avoid using shouting colours, if you must use colours select a gentle colour like blue. Pick complementary colours that visually match. The bottom line, stick to black and white whenever you can.
• Use the same font for the entire table.
• Keep tables and Figures centred-justified.

The video below shows how to format a table in Microsoft Word.

Tables should be :

• Centred horizontally on the page.
• Numbered chronologically as they appear in the text.
• Referenced in the order they appear in the text.
• Labelled with the table number and descriptive title above the table.
• Labelled with column and/or row labels that describe the data, including units of measurement.
• Set apart from the text itself; the text does not flow around the table.

Figures should be:

• Centred on the page.
• Titled (beneath the figure) with the figure number (“Figure” can be spelt out [“Figure 1.”] or abbreviated [“Fig. 1.”] as long as you are consistent).
• Numbered in the order in which they appear in the text.
• Referenced in the order in which they appear in the text
• Set apart from the text; text should not flow around figures.

Bibliography

• Almost Everything You Wanted to Know About Making Tables and Figures

http://abacus.bates.edu/~ganderso/biology/resources/writing/HTWtablefigs.html

• Figures and Charts by The University of North Carolina at Chapel Hill

https://writingcenter.unc.edu/tips-and-tools/figures-and-charts/

• Figures, Tables and References

http://www.bris.ac.uk/Depts/DeafStudiesTeaching/dissert/Figures,%20Tables%20&%20References.htm

Dr Ebasone is a physician and PhD Candidate at the University of Cape Town. He is the Director of Research Operations at CRENC. He is charged with coordinating the International Epidemiology Databases to Evaluate AIDS (IeDEA) in Cameroon.

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16 comments.

This is a very nice guide. Dr Ebasone explains the presentation of data in very simple and clear terms. Following this can definitely make your data easy to visualise and understand

Thank you Doctor.

Thanks a lot for the great and straight to the point lecture doctor Ebasone! This will go a long way to contribute in my career development.

Thanks Dr ebadone for the clear orientations

You are welcome. Hope this can help you improve your tables and figures in your dissertation.

Thanks Dr for this explicit guide.

You are welcome Sonia.

Straight to the point and gives you most,if not all of what’s needed at the same time ….huge fan

Well-done doc Ebasone. I think it’s an extremely helpful piece.

Concise, precise, easy to read, just Excellent!!!

Thanks Doctor. Straight forward. Great job!

Très instructif Dr , Merci

Merci docteur

Just on point. Thank you Dr.

Kudos Dr. Vanes, Always get chills when I discover African, especially Cameroonians contributing the the world of research.

Very explicit. Thanks Doctor!

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• Manuscript Preparation

How to Use Tables and Figures effectively in Research Papers

• 3 minute read

Table of Contents

Data is the most important component of any research. It needs to be presented effectively in a paper to ensure that readers understand the key message in the paper. Figures and tables act as concise tools for clear presentation . Tables display information arranged in rows and columns in a grid-like format, while figures convey information visually, and take the form of a graph, diagram, chart, or image. Be it to compare the rise and fall of GDPs among countries over the years or to understand how COVID-19 has impacted incomes all over the world, tables and figures are imperative to convey vital findings accurately.

So, what are some of the best practices to follow when creating meaningful and attractive tables and figures? Here are some tips on how best to present tables and figures in a research paper.

Guidelines for including tables and figures meaningfully in a paper:

• Self-explanatory display items: Sometimes, readers, reviewers and journal editors directly go to the tables and figures before reading the entire text. So, the tables need to be well organized and self-explanatory.
• Avoidance of repetition: Tables and figures add clarity to the research. They complement the research text and draw attention to key points. They can be used to highlight the main points of the paper, but values should not be repeated as it defeats the very purpose of these elements.
• Consistency: There should be consistency in the values and figures in the tables and figures and the main text of the research paper.
• Informative titles: Titles should be concise and describe the purpose and content of the table. It should draw the reader’s attention towards the key findings of the research. Column heads, axis labels, figure labels, etc., should also be appropriately labelled.
• Adherence to journal guidelines: It is important to follow the instructions given in the target journal regarding the preparation and presentation of figures and tables, style of numbering, titles, image resolution, file formats, etc.

Now that we know how to go about including tables and figures in the manuscript, let’s take a look at what makes tables and figures stand out and create impact.

How to present data in a table?

For effective and concise presentation of data in a table, make sure to:

• Combine repetitive tables: If the tables have similar content, they should be organized into one.
• Divide the data: If there are large amounts of information, the data should be divided into categories for more clarity and better presentation. It is necessary to clearly demarcate the categories into well-structured columns and sub-columns.
• Keep only relevant data: The tables should not look cluttered. Ensure enough spacing.

Example of table presentation in a research paper

For comprehensible and engaging presentation of figures:

• Ensure clarity: All the parts of the figure should be clear. Ensure the use of a standard font, legible labels, and sharp images.
• Use appropriate legends: They make figures effective and draw attention towards the key message.
• Make it precise: There should be correct use of scale bars in images and maps, appropriate units wherever required, and adequate labels and legends.

It is important to get tables and figures correct and precise for your research paper to convey your findings accurately and clearly. If you are confused about how to suitably present your data through tables and figures, do not worry. Elsevier Author Services are well-equipped to guide you through every step to ensure that your manuscript is of top-notch quality.

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What is the Background of a Study and How Should it be Written?

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Figures and Charts

What this handout is about.

This handout will describe how to use figures and tables to present complicated information in a way that is accessible and understandable to your reader.

Do I need a figure/table?

When planning your writing, it is important to consider the best way to communicate information to your audience, especially if you plan to use data in the form of numbers, words, or images that will help you construct and support your argument.  Generally speaking, data summaries may take the form of text, tables or figures. Most writers are familiar with textual data summaries and this is often the best way to communicate simple results. A good rule of thumb is to see if you can present your results clearly in a sentence or two. If so, a table or figure is probably unnecessary. If your data are too numerous or complicated to be described adequately in this amount of space, figures and tables can be effective ways of conveying lots of information without cluttering up your text. Additionally, they serve as quick references for your reader and can reveal trends, patterns, or relationships that might otherwise be difficult to grasp.

So what’s the difference between a table and a figure anyway?

Tables present lists of numbers or text in columns and can be used to synthesize existing literature, to explain variables, or to present the wording of survey questions. They are also used to make a paper or article more readable by removing numeric or listed data from the text. Tables are typically used to present raw data, not when you want to show a relationship between variables.

Figures are visual presentations of results. They come in the form of graphs, charts, drawings, photos, or maps.  Figures provide visual impact and can effectively communicate your primary finding. Traditionally, they are used to display trends and patterns of relationship, but they can also be used to communicate processes or display complicated data simply.  Figures should not duplicate the same information found in tables and vice versa.

Using tables

Tables are easily constructed using your word processor’s table function or a spread sheet program such as Excel. Elements of a table include the Legend or Title, Column Titles, and the Table Body (quantitative or qualitative data). They may also include subheadings and footnotes. Remember that it is just as important to think about the organization of tables as it is to think about the organization of paragraphs. A well-organized table allows readers to grasp the meaning of the data presented with ease, while a disorganized one will leave the reader confused about the data itself, or the significance of the data.

Title: Tables are headed by a number followed by a clear, descriptive title or caption. Conventions regarding title length and content vary by discipline. In the hard sciences, a lengthy explanation of table contents may be acceptable. In other disciplines, titles should be descriptive but short, and any explanation or interpretation of data should take place in the text. Be sure to look up examples from published papers within your discipline that you can use as a model. It may also help to think of the title as the “topic sentence” of the table—it tells the reader what the table is about and how it’s organized. Tables are read from the top down, so titles go above the body of the table and are left-justified.

Column titles: The goal of column headings is to simplify and clarify the table, allowing the reader to understand the components of the table quickly. Therefore, column titles should be brief and descriptive and should include units of analysis.

Table body: This is where your data are located, whether they are numerical or textual. Again, organize your table in a way that helps the reader understand the significance of the data. Be sure to think about what you want your readers to compare, and put that information in the column (up and down) rather than in the row (across). In other words, construct your table so that like elements read down, not across. When using numerical data with decimals, make sure that the decimal points line up. Whole numbers should line up on the right.

Other table elements

Tables should be labeled with a number preceding the table title; tables and figures are labeled independently of one another. Tables should also have lines demarcating different parts of the table (title, column headers, data, and footnotes if present). Gridlines or boxes should not be included in printed versions. Tables may or may not include other elements, such as subheadings or footnotes.

Quick reference for tables

Tables should be:

• Centered on the page.
• Numbered in the order they appear in the text.
• Referenced in the order they appear in the text.
• Labeled with the table number and descriptive title above the table.
• Labeled with column and/or row labels that describe the data, including units of measurement.
• Set apart from the text itself; text does not flow around the table.

Table 1. Physical characteristics of the Doctor in the new series of Doctor Who

Table 2. Physical characteristics of the Doctor in the new series of Doctor Who

Using figures

Figures can take many forms. They may be graphs, diagrams, photos, drawings, or maps. Think deliberately about your purpose and use common sense to choose the most effective figure for communicating the main point. If you want your reader to understand spatial relationships, a map or photograph may be the best choice. If you want to illustrate proportions, experiment with a pie chart or bar graph. If you want to illustrate the relationship between two variables, try a line graph or a scatterplot (more on various types of graphs below). Although there are many types of figures, like tables, they share some typical features: captions, the image itself, and any necessary contextual information (which will vary depending on the type of figure you use).

Figure captions

Figures should be labeled with a number followed by a descriptive caption or title. Captions should be concise but comprehensive. They should describe the data shown, draw attention to important features contained within the figure, and may sometimes also include interpretations of the data. Figures are typically read from the bottom up, so captions go below the figure and are left-justified.

The most important consideration for figures is simplicity. Choose images the viewer can grasp and interpret clearly and quickly. Consider size, resolution, color, and prominence of important features. Figures should be large enough and of sufficient resolution for the viewer to make out details without straining their eyes. Also consider the format your paper will ultimately take. Journals typically publish figures in black and white, so any information coded by color will be lost to the reader.  On the other hand, color might be a good choice for papers published to the web or for PowerPoint presentations. In any case, use figure elements like color, line, and pattern for effect, not for flash.

Additional information

Figures should be labeled with a number preceding the table title; tables and figures are numbered independently of one another. Also be sure to include any additional contextual information your viewer needs to understand the figure. For graphs, this may include labels, a legend explaining symbols, and vertical or horizontal tick marks. For maps, you’ll need to include a scale and north arrow. If you’re unsure about contextual information, check out several types of figures that are commonly used in your discipline.

Quick reference for figures

Figures should be:

• Labeled (under the figure) with the figure number and appropriate descriptive title (“Figure” can be spelled out [“Figure 1.”] or abbreviated [“Fig. 1.”] as long as you are consistent).
• Referenced in the order they appear in the text (i.e. Figure 1 is referenced in the text before Figure 2 and so forth).
• Set apart from the text; text should not flow around figures.

Every graph is a figure but not every figure is a graph. Graphs are a particular set of figures that display quantitative relationships between variables. Some of the most common graphs include bar charts, frequency histograms, pie charts, scatter plots, and line graphs, each of which displays trends or relationships within and among datasets in a different way. You’ll need to carefully choose the best graph for your data and the relationship that you want to show. More details about some common graph types are provided below. Some good advice regarding the construction of graphs is to keep it simple. Remember that the main objective of your graph is communication. If your viewer is unable to visually decode your graph, then you have failed to communicate the information contained within it.

Pie charts are used to show relative proportions, specifically the relationship of a number of parts to the whole. Use pie charts only when the parts of the pie are mutually exclusive categories and the sum of parts adds up to a meaningful whole (100% of something). Pie charts are good at showing “big picture” relationships (i.e. some categories make up “a lot” or “a little” of the whole thing). However, if you want your reader to discern fine distinctions within your data, the pie chart is not for you. Humans are not very good at making comparisons based on angles. We are much better at comparing length, so try a bar chart as an alternative way to show relative proportions. Additionally, pie charts with lots of little slices or slices of very different sizes are difficult to read, so limit yours to 5-7 categories.

The chart shows the relative proportion of fifteen elements in Martian soil, listed in order from “most” to “least”: oxygen, silicon, iron, magnesium, calcium, sulfur, aluminum, sodium, potassium, chlorine, helium, nitrogen, phosphorus, beryllium, and other. Oxygen makes up about ⅓ of the composition, while silicon and iron together make up about ¼. The remaining slices make up smaller proportions, but the percentages aren’t listed in the key and are difficult to estimate. It is also hard to distinguish fifteen colors when comparing the pie chart to the color coded key.

The chart shows the relative proportion of five leisure activities of Venusian teenagers (tanning, trips to Mars, reading, messing with satellites, and stealing Earth cable). Although each of the five slices are about the same size (roughly 20% of the total), the percentage of Venusian teenagers engaging in each activity varies widely (tanning: 80%, trips to Mars: 40%, reading: 12%, messing with satellites: 30%, stealing Earth cable: 77%). Therefore, there is a mismatch between the labels and the actual proportion represented by each activity (in other words, if reading represents 12% of the total, its slice should take up 12% of the pie chart area), which makes the representation inaccurate. In addition, the labels for the five slices add up to 239% (rather than 100%), which makes it impossible to accurately represent this dataset using a pie chart.

Bar graphs are also used to display proportions. In particular, they are useful for showing the relationship between independent and dependent variables, where the independent variables are discrete (often nominal) categories. Some examples are occupation, gender, and species. Bar graphs can be vertical or horizontal. In a vertical bar graph the independent variable is shown on the x axis (left to right) and the dependent variable on the y axis (up and down). In a horizontal one, the dependent variable will be shown on the horizontal (x) axis, the independent on the vertical (y) axis. The scale and origin of the graph should be meaningful. If the dependent (numeric) variable has a natural zero point, it is commonly used as a point of origin for the bar chart. However, zero is not always the best choice. You should experiment with both origin and scale to best show the relevant trends in your data without misleading the viewer in terms of the strength or extent of those trends.

The graph shows the number of male and female spaceship crew members for five different popular television series: Star Trek (1965), Battlestar (1978), Star Trek: TNG (1987), Stargate SG-1 (1997), and Firefly (2002). Because the television series are arranged chronologically on the x-axis, the graph can also be used to look for trends in these numbers over time.

Although the number of crew members for each show is similar (ranging from 9 to 11), the proportion of female and male crew members varies. Star Trek has half as many female crew members as male crew members (3 and 6, respectively), Battlestar has fewer than one-fourth as many female crew members as male crew members (2 and 9, respectively), Star Trek: TNG has four female crew members and six male crew members, Stargate SG-1 has less than one-half as many female crew members as male crew members (3 and 7, respectively), and Firefly has four female and five male crew members.

Frequency histograms/distributions

Frequency histograms are a special type of bar graph that show the relationship between independent and dependent variables, where the independent variable is continuous, rather than discrete. This means that each bar represents a range of values, rather than a single observation. The dependent variables in a histogram are always numeric, but may be absolute (counts) or relative (percentages). Frequency histograms are good for describing populations—examples include the distribution of exam scores for students in a class or the age distribution of the people living in Chapel Hill. You can experiment with bar ranges (also known as “bins”) to achieve the best level of detail, but each range or bin should be of uniform width and clearly labeled.

XY scatter plots

Scatter plots are another way to illustrate the relationship between two variables. In this case, data are displayed as points in an x,y coordinate system, where each point represents one observation along two axes of variation. Often, scatter plots are used to illustrate correlation between two variables—as one variable increases, the other increases (positive correlation) or decreases (negative correlation). However, correlation does not necessarily imply that changes in one variable cause changes in the other. For instance, a third, unplotted variable may be causing both. In other words, scatter plots can be used to graph one independent and one dependent variable, or they can be used to plot two independent variables. In cases where one variable is dependent on another (for example, height depends partly on age), plot the independent variable on the horizontal (x) axis, and the dependent variable on the vertical (y) axis. In addition to correlation (a linear relationship), scatter plots can be used to plot non-linear relationships between variables.

The scatter plot shows the relationship between temperature (x-axis, independent variable) and the number of UFO sightings (y-axis, dependent variable) for 53 separate data points. The temperature ranges from about 0°F and 120°F, and the number of UFO sightings ranges from 1 to 10. The plot shows a low number of UFO sightings (ranging from 1 to 4) at temperatures below 80°F and a much wider range of the number of sightings (from 1 to 10) at temperatures above 80°F. It appears that the number of sightings tends to increase as temperature increases, though there are many cases where only a few sightings occur at high temperatures.

XY line graphs

Line graphs are similar to scatter plots in that they display data along two axes of variation. Line graphs, however, plot a series of related values that depict a change in one variable as a function of another, for example, world population (dependent) over time (independent). Individual data points are joined by a line, drawing the viewer’s attention to local change between adjacent points, as well as to larger trends in the data. Line graphs are similar to bar graphs, but are better at showing the rate of change between two points. Line graphs can also be used to compare multiple dependent variables by plotting multiple lines on the same graph.

Example of an XY line graph:

The line graph shows the age (in years) of the actor of each Doctor Who regeneration for the first through the eleventh regeneration. The ages range from a maximum of about 55 in the first regeneration to a minimum of about 25 in the eleventh regeneration. There is a downward trend in the age of the actors over the course of the eleven regenerations.

General tips for graphs

Strive for simplicity. Your data will be complex. Don’t be tempted to convey the complexity of your data in graphical form. Your job (and the job of your graph) is to communicate the most important thing about the data. Think of graphs like you think of paragraphs—if you have several important things to say about your data, make several graphs, each of which highlights one important point you want to make.

Strive for clarity. Make sure that your data are portrayed in a way that is visually clear. Make sure that you have explained the elements of the graph clearly. Consider your audience. Will your reader be familiar with the type of figure you are using (such as a boxplot)? If not, or if you’re not sure, you may need to explain boxplot conventions in the text. Avoid “chartjunk.” Superfluous elements just make graphs visually confusing. Your reader does not want to spend 15 minutes figuring out the point of your graph.

Strive for accuracy. Carefully check your graph for errors. Even a simple graphical error can change the meaning and interpretation of the data. Use graphs responsibly. Don’t manipulate the data so that it looks like it’s saying something it’s not—savvy viewers will see through this ruse, and you will come off as incompetent at best and dishonest at worst.

How should tables and figures interact with text?

Placement of figures and tables within the text is discipline-specific. In manuscripts (such as lab reports and drafts) it is conventional to put tables and figures on separate pages from the text, as near as possible to the place where you first refer to it. You can also put all the figures and tables at the end of the paper to avoid breaking up the text. Figures and tables may also be embedded in the text, as long as the text itself isn’t broken up into small chunks. Complex raw data is conventionally presented in an appendix. Be sure to check on conventions for the placement of figures and tables in your discipline.

You can use text to guide the reader in interpreting the information included in a figure, table, or graph—tell the reader what the figure or table conveys and why it was important to include it.

When referring to tables and graphs from within the text, you can use:

• Clauses beginning with “as”: “As shown in Table 1, …”
• Passive voice: “Results are shown in Table 1.”
• Active voice (if appropriate for your discipline): “Table 1 shows that …”
• Parentheses: “Each sample tested positive for three nutrients (Table 1).”

Works consulted

We consulted these works while writing this handout. This is not a comprehensive list of resources on the handout’s topic, and we encourage you to do your own research to find additional publications. Please do not use this list as a model for the format of your own reference list, as it may not match the citation style you are using. For guidance on formatting citations, please see the UNC Libraries citation tutorial . We revise these tips periodically and welcome feedback.

American Psychological Association. 2010. Publication Manual of the American Psychological Association . 6th ed. Washington, DC: American Psychological Association.

Bates College. 2012. “ Almost everything you wanted to know about making tables and figures.” How to Write a Paper in Scientific Journal Style and Format , January 11, 2012. http://abacus.bates.edu/~ganderso/biology/resources/writing/HTWtablefigs.html.

Cleveland, William S. 1994. The Elements of Graphing Data , 2nd ed. Summit, NJ: Hobart Press..

Council of Science Editors. 2014. Scientific Style and Format: The CSE Manual for Authors, Editors, and Publishers , 8th ed. Chicago & London: University of Chicago Press.

University of Chicago Press. 2017. The Chicago Manual of Style , 17th ed. Chicago & London: University of Chicago Press.

You may reproduce it for non-commercial use if you use the entire handout and attribute the source: The Writing Center, University of North Carolina at Chapel Hill

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Open Access

Ten simple rules for effective presentation slides

* E-mail: [email protected]

Affiliation Biomedical Engineering and the Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, United States of America

• Kristen M. Naegle

Published: December 2, 2021

• https://doi.org/10.1371/journal.pcbi.1009554
• Reader Comments

Citation: Naegle KM (2021) Ten simple rules for effective presentation slides. PLoS Comput Biol 17(12): e1009554. https://doi.org/10.1371/journal.pcbi.1009554

Copyright: © 2021 Kristen M. Naegle. This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Funding: The author received no specific funding for this work.

Competing interests: The author has declared no competing interests exist.

Introduction

The “presentation slide” is the building block of all academic presentations, whether they are journal clubs, thesis committee meetings, short conference talks, or hour-long seminars. A slide is a single page projected on a screen, usually built on the premise of a title, body, and figures or tables and includes both what is shown and what is spoken about that slide. Multiple slides are strung together to tell the larger story of the presentation. While there have been excellent 10 simple rules on giving entire presentations [ 1 , 2 ], there was an absence in the fine details of how to design a slide for optimal effect—such as the design elements that allow slides to convey meaningful information, to keep the audience engaged and informed, and to deliver the information intended and in the time frame allowed. As all research presentations seek to teach, effective slide design borrows from the same principles as effective teaching, including the consideration of cognitive processing your audience is relying on to organize, process, and retain information. This is written for anyone who needs to prepare slides from any length scale and for most purposes of conveying research to broad audiences. The rules are broken into 3 primary areas. Rules 1 to 5 are about optimizing the scope of each slide. Rules 6 to 8 are about principles around designing elements of the slide. Rules 9 to 10 are about preparing for your presentation, with the slides as the central focus of that preparation.

Rule 1: Include only one idea per slide

Each slide should have one central objective to deliver—the main idea or question [ 3 – 5 ]. Often, this means breaking complex ideas down into manageable pieces (see Fig 1 , where “background” information has been split into 2 key concepts). In another example, if you are presenting a complex computational approach in a large flow diagram, introduce it in smaller units, building it up until you finish with the entire diagram. The progressive buildup of complex information means that audiences are prepared to understand the whole picture, once you have dedicated time to each of the parts. You can accomplish the buildup of components in several ways—for example, using presentation software to cover/uncover information. Personally, I choose to create separate slides for each piece of information content I introduce—where the final slide has the entire diagram, and I use cropping or a cover on duplicated slides that come before to hide what I’m not yet ready to include. I use this method in order to ensure that each slide in my deck truly presents one specific idea (the new content) and the amount of the new information on that slide can be described in 1 minute (Rule 2), but it comes with the trade-off—a change to the format of one of the slides in the series often means changes to all slides.

• PPT PowerPoint slide
• PNG larger image
• TIFF original image

Top left: A background slide that describes the background material on a project from my lab. The slide was created using a PowerPoint Design Template, which had to be modified to increase default text sizes for this figure (i.e., the default text sizes are even worse than shown here). Bottom row: The 2 new slides that break up the content into 2 explicit ideas about the background, using a central graphic. In the first slide, the graphic is an explicit example of the SH2 domain of PI3-kinase interacting with a phosphorylation site (Y754) on the PDGFR to describe the important details of what an SH2 domain and phosphotyrosine ligand are and how they interact. I use that same graphic in the second slide to generalize all binding events and include redundant text to drive home the central message (a lot of possible interactions might occur in the human proteome, more than we can currently measure). Top right highlights which rules were used to move from the original slide to the new slide. Specific changes as highlighted by Rule 7 include increasing contrast by changing the background color, increasing font size, changing to sans serif fonts, and removing all capital text and underlining (using bold to draw attention). PDGFR, platelet-derived growth factor receptor.

https://doi.org/10.1371/journal.pcbi.1009554.g001

Rule 2: Spend only 1 minute per slide

When you present your slide in the talk, it should take 1 minute or less to discuss. This rule is really helpful for planning purposes—a 20-minute presentation should have somewhere around 20 slides. Also, frequently giving your audience new information to feast on helps keep them engaged. During practice, if you find yourself spending more than a minute on a slide, there’s too much for that one slide—it’s time to break up the content into multiple slides or even remove information that is not wholly central to the story you are trying to tell. Reduce, reduce, reduce, until you get to a single message, clearly described, which takes less than 1 minute to present.

Rule 3: Make use of your heading

When each slide conveys only one message, use the heading of that slide to write exactly the message you are trying to deliver. Instead of titling the slide “Results,” try “CTNND1 is central to metastasis” or “False-positive rates are highly sample specific.” Use this landmark signpost to ensure that all the content on that slide is related exactly to the heading and only the heading. Think of the slide heading as the introductory or concluding sentence of a paragraph and the slide content the rest of the paragraph that supports the main point of the paragraph. An audience member should be able to follow along with you in the “paragraph” and come to the same conclusion sentence as your header at the end of the slide.

Rule 4: Include only essential points

While you are speaking, audience members’ eyes and minds will be wandering over your slide. If you have a comment, detail, or figure on a slide, have a plan to explicitly identify and talk about it. If you don’t think it’s important enough to spend time on, then don’t have it on your slide. This is especially important when faculty are present. I often tell students that thesis committee members are like cats: If you put a shiny bauble in front of them, they’ll go after it. Be sure to only put the shiny baubles on slides that you want them to focus on. Putting together a thesis meeting for only faculty is really an exercise in herding cats (if you have cats, you know this is no easy feat). Clear and concise slide design will go a long way in helping you corral those easily distracted faculty members.

Rule 5: Give credit, where credit is due

An exception to Rule 4 is to include proper citations or references to work on your slide. When adding citations, names of other researchers, or other types of credit, use a consistent style and method for adding this information to your slides. Your audience will then be able to easily partition this information from the other content. A common mistake people make is to think “I’ll add that reference later,” but I highly recommend you put the proper reference on the slide at the time you make it, before you forget where it came from. Finally, in certain kinds of presentations, credits can make it clear who did the work. For the faculty members heading labs, it is an effective way to connect your audience with the personnel in the lab who did the work, which is a great career booster for that person. For graduate students, it is an effective way to delineate your contribution to the work, especially in meetings where the goal is to establish your credentials for meeting the rigors of a PhD checkpoint.

Rule 6: Use graphics effectively

As a rule, you should almost never have slides that only contain text. Build your slides around good visualizations. It is a visual presentation after all, and as they say, a picture is worth a thousand words. However, on the flip side, don’t muddy the point of the slide by putting too many complex graphics on a single slide. A multipanel figure that you might include in a manuscript should often be broken into 1 panel per slide (see Rule 1 ). One way to ensure that you use the graphics effectively is to make a point to introduce the figure and its elements to the audience verbally, especially for data figures. For example, you might say the following: “This graph here shows the measured false-positive rate for an experiment and each point is a replicate of the experiment, the graph demonstrates …” If you have put too much on one slide to present in 1 minute (see Rule 2 ), then the complexity or number of the visualizations is too much for just one slide.

Rule 7: Design to avoid cognitive overload

The type of slide elements, the number of them, and how you present them all impact the ability for the audience to intake, organize, and remember the content. For example, a frequent mistake in slide design is to include full sentences, but reading and verbal processing use the same cognitive channels—therefore, an audience member can either read the slide, listen to you, or do some part of both (each poorly), as a result of cognitive overload [ 4 ]. The visual channel is separate, allowing images/videos to be processed with auditory information without cognitive overload [ 6 ] (Rule 6). As presentations are an exercise in listening, and not reading, do what you can to optimize the ability of the audience to listen. Use words sparingly as “guide posts” to you and the audience about major points of the slide. In fact, you can add short text fragments, redundant with the verbal component of the presentation, which has been shown to improve retention [ 7 ] (see Fig 1 for an example of redundant text that avoids cognitive overload). Be careful in the selection of a slide template to minimize accidentally adding elements that the audience must process, but are unimportant. David JP Phillips argues (and effectively demonstrates in his TEDx talk [ 5 ]) that the human brain can easily interpret 6 elements and more than that requires a 500% increase in human cognition load—so keep the total number of elements on the slide to 6 or less. Finally, in addition to the use of short text, white space, and the effective use of graphics/images, you can improve ease of cognitive processing further by considering color choices and font type and size. Here are a few suggestions for improving the experience for your audience, highlighting the importance of these elements for some specific groups:

• Use high contrast colors and simple backgrounds with low to no color—for persons with dyslexia or visual impairment.
• Use sans serif fonts and large font sizes (including figure legends), avoid italics, underlining (use bold font instead for emphasis), and all capital letters—for persons with dyslexia or visual impairment [ 8 ].
• Use color combinations and palettes that can be understood by those with different forms of color blindness [ 9 ]. There are excellent tools available to identify colors to use and ways to simulate your presentation or figures as they might be seen by a person with color blindness (easily found by a web search).
• In this increasing world of virtual presentation tools, consider practicing your talk with a closed captioning system capture your words. Use this to identify how to improve your speaking pace, volume, and annunciation to improve understanding by all members of your audience, but especially those with a hearing impairment.

Rule 8: Design the slide so that a distracted person gets the main takeaway

It is very difficult to stay focused on a presentation, especially if it is long or if it is part of a longer series of talks at a conference. Audience members may get distracted by an important email, or they may start dreaming of lunch. So, it’s important to look at your slide and ask “If they heard nothing I said, will they understand the key concept of this slide?” The other rules are set up to help with this, including clarity of the single point of the slide (Rule 1), titling it with a major conclusion (Rule 3), and the use of figures (Rule 6) and short text redundant to your verbal description (Rule 7). However, with each slide, step back and ask whether its main conclusion is conveyed, even if someone didn’t hear your accompanying dialog. Importantly, ask if the information on the slide is at the right level of abstraction. For example, do you have too many details about the experiment, which hides the conclusion of the experiment (i.e., breaking Rule 1)? If you are worried about not having enough details, keep a slide at the end of your slide deck (after your conclusions and acknowledgments) with the more detailed information that you can refer to during a question and answer period.

Rule 9: Iteratively improve slide design through practice

Well-designed slides that follow the first 8 rules are intended to help you deliver the message you intend and in the amount of time you intend to deliver it in. The best way to ensure that you nailed slide design for your presentation is to practice, typically a lot. The most important aspects of practicing a new presentation, with an eye toward slide design, are the following 2 key points: (1) practice to ensure that you hit, each time through, the most important points (for example, the text guide posts you left yourself and the title of the slide); and (2) practice to ensure that as you conclude the end of one slide, it leads directly to the next slide. Slide transitions, what you say as you end one slide and begin the next, are important to keeping the flow of the “story.” Practice is when I discover that the order of my presentation is poor or that I left myself too few guideposts to remember what was coming next. Additionally, during practice, the most frequent things I have to improve relate to Rule 2 (the slide takes too long to present, usually because I broke Rule 1, and I’m delivering too much information for one slide), Rule 4 (I have a nonessential detail on the slide), and Rule 5 (I forgot to give a key reference). The very best type of practice is in front of an audience (for example, your lab or peers), where, with fresh perspectives, they can help you identify places for improving slide content, design, and connections across the entirety of your talk.

Rule 10: Design to mitigate the impact of technical disasters

The real presentation almost never goes as we planned in our heads or during our practice. Maybe the speaker before you went over time and now you need to adjust. Maybe the computer the organizer is having you use won’t show your video. Maybe your internet is poor on the day you are giving a virtual presentation at a conference. Technical problems are routinely part of the practice of sharing your work through presentations. Hence, you can design your slides to limit the impact certain kinds of technical disasters create and also prepare alternate approaches. Here are just a few examples of the preparation you can do that will take you a long way toward avoiding a complete fiasco:

• Save your presentation as a PDF—if the version of Keynote or PowerPoint on a host computer cause issues, you still have a functional copy that has a higher guarantee of compatibility.
• In using videos, create a backup slide with screen shots of key results. For example, if I have a video of cell migration, I’ll be sure to have a copy of the start and end of the video, in case the video doesn’t play. Even if the video worked, you can pause on this backup slide and take the time to highlight the key results in words if someone could not see or understand the video.
• Avoid animations, such as figures or text that flash/fly-in/etc. Surveys suggest that no one likes movement in presentations [ 3 , 4 ]. There is likely a cognitive underpinning to the almost universal distaste of pointless animations that relates to the idea proposed by Kosslyn and colleagues that animations are salient perceptual units that captures direct attention [ 4 ]. Although perceptual salience can be used to draw attention to and improve retention of specific points, if you use this approach for unnecessary/unimportant things (like animation of your bullet point text, fly-ins of figures, etc.), then you will distract your audience from the important content. Finally, animations cause additional processing burdens for people with visual impairments [ 10 ] and create opportunities for technical disasters if the software on the host system is not compatible with your planned animation.

Conclusions

These rules are just a start in creating more engaging presentations that increase audience retention of your material. However, there are wonderful resources on continuing on the journey of becoming an amazing public speaker, which includes understanding the psychology and neuroscience behind human perception and learning. For example, as highlighted in Rule 7, David JP Phillips has a wonderful TEDx talk on the subject [ 5 ], and “PowerPoint presentation flaws and failures: A psychological analysis,” by Kosslyn and colleagues is deeply detailed about a number of aspects of human cognition and presentation style [ 4 ]. There are many books on the topic, including the popular “Presentation Zen” by Garr Reynolds [ 11 ]. Finally, although briefly touched on here, the visualization of data is an entire topic of its own that is worth perfecting for both written and oral presentations of work, with fantastic resources like Edward Tufte’s “The Visual Display of Quantitative Information” [ 12 ] or the article “Visualization of Biomedical Data” by O’Donoghue and colleagues [ 13 ].

Acknowledgments

I would like to thank the countless presenters, colleagues, students, and mentors from which I have learned a great deal from on effective presentations. Also, a thank you to the wonderful resources published by organizations on how to increase inclusivity. A special thanks to Dr. Jason Papin and Dr. Michael Guertin on early feedback of this editorial.

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Data Presentation: Use of Tables and Graphics

• First Online: 08 June 2022

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In an era of evidence based medicine, data is an important factor and needs to be presented in a way that is quickly understood by the audience. People are generally weak at understanding data. Visualization makes it easier for the audience to grasp and recall data. It should be presented in an attractive style to create interest in audience’s mind; Data may be presented as a table or graphic. There are 3 types of tables: Formal (numbers), textural, and matrix; each one has its peculiarities and usefulness. Rules for construction of these table are described. There are several graphics to present data and one that is most suitable for the variables under consideration is chosen. Numerical (quantitative) data is presented in a bar chart, pictogram, pie chart, or choropleth map. Descriptive, categorical, and frequency data (qualitative) are presented in histogram, frequency polygon, frequency curve, line chart, and scatter diagram. Decision trees and genealogical charts are used in special circumstances. Example of each of these graphics is discussed with its usefulness and shortcomings. Recommendations on use of tables and graphics for a specific data are made for expediency and usability.

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Thakur, A.J. (2022). Data Presentation: Use of Tables and Graphics. In: Tapping the Power of PowerPoint for Medical Posters and Presentations. Springer, Singapore. https://doi.org/10.1007/978-981-19-1816-2_8

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Effective Use of Tables and Figures in Research Papers

Research papers are often based on copious amounts of data that can be summarized and easily read through tables and graphs. When writing a research paper , it is important for data to be presented to the reader in a visually appealing way. The data in figures and tables, however, should not be a repetition of the data found in the text. There are many ways of presenting data in tables and figures, governed by a few simple rules. An APA research paper and MLA research paper both require tables and figures, but the rules around them are different. When writing a research paper, the importance of tables and figures cannot be underestimated. How do you know if you need a table or figure? The rule of thumb is that if you cannot present your data in one or two sentences, then you need a table .

Using Tables

Tables are easily created using programs such as Excel. Tables and figures in scientific papers are wonderful ways of presenting data. Effective data presentation in research papers requires understanding your reader and the elements that comprise a table. Tables have several elements, including the legend, column titles, and body. As with academic writing, it is also just as important to structure tables so that readers can easily understand them. Tables that are disorganized or otherwise confusing will make the reader lose interest in your work.

• Title: Tables should have a clear, descriptive title, which functions as the “topic sentence” of the table. The titles can be lengthy or short, depending on the discipline.
• Column Titles: The goal of these title headings is to simplify the table. The reader’s attention moves from the title to the column title sequentially. A good set of column titles will allow the reader to quickly grasp what the table is about.
• Table Body: This is the main area of the table where numerical or textual data is located. Construct your table so that elements read from up to down, and not across.

Related: Done organizing your research data effectively in tables? Check out this post on tips for citing tables in your manuscript now!

The placement of figures and tables should be at the center of the page. It should be properly referenced and ordered in the number that it appears in the text. In addition, tables should be set apart from the text. Text wrapping should not be used. Sometimes, tables and figures are presented after the references in selected journals.

Using Figures

Figures can take many forms, such as bar graphs, frequency histograms, scatterplots, drawings, maps, etc. When using figures in a research paper, always think of your reader. What is the easiest figure for your reader to understand? How can you present the data in the simplest and most effective way? For instance, a photograph may be the best choice if you want your reader to understand spatial relationships.

• Figure Captions: Figures should be numbered and have descriptive titles or captions. The captions should be succinct enough to understand at the first glance. Captions are placed under the figure and are left justified.
• Image: Choose an image that is simple and easily understandable. Consider the size, resolution, and the image’s overall visual attractiveness.
• Additional Information: Illustrations in manuscripts are numbered separately from tables. Include any information that the reader needs to understand your figure, such as legends.

Common Errors in Research Papers

Effective data presentation in research papers requires understanding the common errors that make data presentation ineffective. These common mistakes include using the wrong type of figure for the data. For instance, using a scatterplot instead of a bar graph for showing levels of hydration is a mistake. Another common mistake is that some authors tend to italicize the table number. Remember, only the table title should be italicized .  Another common mistake is failing to attribute the table. If the table/figure is from another source, simply put “ Note. Adapted from…” underneath the table. This should help avoid any issues with plagiarism.

Using tables and figures in research papers is essential for the paper’s readability. The reader is given a chance to understand data through visual content. When writing a research paper, these elements should be considered as part of good research writing. APA research papers, MLA research papers, and other manuscripts require visual content if the data is too complex or voluminous. The importance of tables and graphs is underscored by the main purpose of writing, and that is to be understood.

Frequently Asked Questions

"Consider the following points when creating figures for research papers: Determine purpose: Clarify the message or information to be conveyed. Choose figure type: Select the appropriate type for data representation. Prepare and organize data: Collect and arrange accurate and relevant data. Select software: Use suitable software for figure creation and editing. Design figure: Focus on clarity, labeling, and visual elements. Create the figure: Plot data or generate the figure using the chosen software. Label and annotate: Clearly identify and explain all elements in the figure. Review and revise: Verify accuracy, coherence, and alignment with the paper. Format and export: Adjust format to meet publication guidelines and export as suitable file."

"To create tables for a research paper, follow these steps: 1) Determine the purpose and information to be conveyed. 2) Plan the layout, including rows, columns, and headings. 3) Use spreadsheet software like Excel to design and format the table. 4) Input accurate data into cells, aligning it logically. 5) Include column and row headers for context. 6) Format the table for readability using consistent styles. 7) Add a descriptive title and caption to summarize and provide context. 8) Number and reference the table in the paper. 9) Review and revise for accuracy and clarity before finalizing."

"Including figures in a research paper enhances clarity and visual appeal. Follow these steps: Determine the need for figures based on data trends or to explain complex processes. Choose the right type of figure, such as graphs, charts, or images, to convey your message effectively. Create or obtain the figure, properly citing the source if needed. Number and caption each figure, providing concise and informative descriptions. Place figures logically in the paper and reference them in the text. Format and label figures clearly for better understanding. Provide detailed figure captions to aid comprehension. Cite the source for non-original figures or images. Review and revise figures for accuracy and consistency."

"Research papers use various types of tables to present data: Descriptive tables: Summarize main data characteristics, often presenting demographic information. Frequency tables: Display distribution of categorical variables, showing counts or percentages in different categories. Cross-tabulation tables: Explore relationships between categorical variables by presenting joint frequencies or percentages. Summary statistics tables: Present key statistics (mean, standard deviation, etc.) for numerical variables. Comparative tables: Compare different groups or conditions, displaying key statistics side by side. Correlation or regression tables: Display results of statistical analyses, such as coefficients and p-values. Longitudinal or time-series tables: Show data collected over multiple time points with columns for periods and rows for variables/subjects. Data matrix tables: Present raw data or matrices, common in experimental psychology or biology. Label tables clearly, include titles, and use footnotes or captions for explanations."

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Present tables and figures clearly in PowerPoint: Tips and Tricks!

Annual reports, financial plans, or calculations: Too many tables and figures often seem unnecessarily complex. In a presentation this can quickly seem overwhelming and irritate the audience. In most cases, however, numbers are useful and unavoidable.

This makes it even more important to be able to convince with a minimalist, clearly structured overall appearance of your presentation. In this article, we will show you how to include tables and figures in your presentation without overwhelming your audience.

6 tips for the correct handling of tables and figures in Microsoft PowerPoint

Of course – presentations rarely work without numbers. User numbers, key figures and statistics are important and should be mentioned. However, a presentation overflowing with numbers often misses its primary goal : to provide the audience with an engaging, understandable approach to interpreting the various numerical values.

To help you focus on the purpose of your presentation, we will present 6 tips on how to handle complex tables and figures in PowerPoint presentations.

#1: Only mention relevant numbers

Always ask yourself if the numbers listed add to the understanding or support of your argument. Sometimes it makes more sense not to mention some numbers if they are not relevant for the purpose of your presentation.

#2: Use rounded numbers

If possible, round numbers up or down to make them easier for the audience to understand. Further, numbers can be understood easier when they are rounded.

#3: Visualize numbers

If possible, use infographics and images to visually support the numbers you are presenting. If you are displaying production figures, for example, enhance the display of these figures with symbol images of the product you are talking about.

You can find a variety of professionally designed diagrams in our shop on the PresentationLoad website.

#4: Always put figures and comparative values in context

When you quote a number, its context should always be easy to understand. To do this, it is important to rely on both the verbal level in the lecture and the visual level in the presentation. Comparative values should always be mapped in parallel, and the context of a number should be clearly read out.

#5: Use infographics instead of tables

Instead of filling tables with numbers, create infographics that communicate the relevant numbers clearly. Ensure that you don’t show too many numbers on the graphics and use images that are related to the numbers.

You can find a number of professionally designed infographics in our PresentationLoad shop.

#6: Use 2D instead of 3D diagrams

Even though 3D charts are visually appealing and a good way to grab the audience’s attention, they have limited use for presentations with high numerical content. Two-dimensional representations run less risk of distorting the conditions and are usually easier to grasp visually.

Especially with high volume of numbers, it is important to keep the rest of your slides minimalistic.

Inserting numbers and cells from Excel spreadsheets into PowerPoint

Entrepreneurial numerical values are commonly collected and archived in tabular form, usually in Excel. To include Excel tables in your PowerPoint presentation, there are several ways. In this paragraph we will show you how to create and edit a well-structured Excel table in PowerPoint. Afterwards we will show you how to use shortcuts to get results even faster.

Create and edit Excel sheets in PowerPoint

In your opened PowerPoint project, you will find the “table” option in the “insert” tab. Once you click on “Spreadsheet”, a drop-down menu opens where you will find a “Excel spreadsheet” button at the bottom.

After you select the Excel button, two things will happen: the PowerPoint view turns into an Excel view inside the open window. Also, a miniature Excel spreadsheet opens on the selected slide.

This “Excel mode” lets you create a completely new table or insert content from already existing tables. This is because Office effectively opens a simplified mini version of Excel within PowerPoint.

If you are working within the small Excel spreadsheet, you will also remain in “Excel mode”. To leave it and return to the familiar PowerPoint view, simply click anywhere next to the box on your slide. By double-clicking the Excel table, you immediately return to Excel mode and can continue editing the table.

Within Excel mode, dark corner points appear along a thick table frame. You can drag the corner points of the table to reveal more columns and rows and then enter all the necessary numbers and labels for your presentation. By pressing the Enter key, you can jump to the next cell and continue there.

As long, as you have selected one or more cells of the table, you have various options for further processing and reshaping. These are located at the top of the screen. To finish your Excel table or to exit Excel mode again, simply click next to the table on your slide again at the end of your editing.

Shortcut: copy and paste directly from Excel to PowerPoint

The simple Copy + Paste function provides a faster variant for creating an Excel table in PowerPoint. With the shortcut Ctrl + C you can copy marked contents and with Ctrl + V you paste these contents into a new place.

This way you can copy already existing tables completely or partly into PowerPoints.

After selecting Ctrl + V on your PowerPoint slide, press the Ctrl key again, one at a time. Five different ways to insert the content will appear. These five options significantly influence both the display and further processing of your table. This makes it even more important to choose the right option. In this paragraph we will explain the five different insertion options:

#1: Use target format templates

With this option you can paste all copied data from Excel. PowerPoint will then format the data as a table by default. This way you can still edit the table partly, but you can no longer add or remove new cells.

#2: Keep original formatting

All graphical attributes are taken over from Excel, the formatting is again done by PowerPoint using a standardized table. The graphic elements mainly include font and color design. Graphics are inserted as complete image objects in the upper left corner.

Graphic elements are adopted again (font and color). In addition, all graphics and image objects remain in place. Double-clicking on the embedded table also takes you back to Excel mode. You can then edit the table freely or extend it as you wish.

#4: Graphics

Here, the Excel spreadsheet is converted into graphic/ image and inserted into PowerPoint. Size and shape can be changed, content, however, cannot.

#5: Adopt text only

With this insert option, only the text is transferred. Neither formatting, color scheme nor fonts are taken over from Excel.

So, to properly use the shortcut to your Excel spreadsheet, you must first copy the contents from Excel using Ctrl + C, paste them onto your PowerPoint slide using Ctrl + V, and select the “Embed” option after pressing the Ctrl key again.

We hope you enjoy trying our tips!

Tip: Professional table templates for PowerPoint

If creating a visually appealing table in PowerPoint on your own takes too much time and effort, you are welcome to take a look at our store where we offer various PowerPoint templates suitable for different themes:

PowerPoint notices this change in Excel and adjusts its display accordingly. This way, you can have data you just collected visualized live in no time. Due to technical difficulties, there are few data-driven table templates for PowerPoint that actually work.

Should you have questions about the correct handling of numbers and tables in PowerPoint or other PowerPoint problems, feel free to contact us via email at [email protected] . As a market-leading PowerPoint agency, we can support you with years of practical experience.

Further articles, that might also interest you:

• The 10/20/30 rule: Create better PowerPoint presentations!
• Revealed: The 12 secrets for a perfect PowerPoint presentation

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Suggestions for Effective Presentation of Tables and Figures

Decide on the most appropriate size, according to the amount of information to be included.

The abbreviations Fig. and fig. are also acceptable.

Avoid using A,B,C or Roman numbers i, ii, iii as labels because such usage is quite clumsy.

Click here to see two samples from students' FYPs that show the correct placement of table and figure titles plus an example of the addition of 'Notes' to a table.

The principles of presenting statistical results using figures

Affiliations.

• 1 Department of Anesthesiology and Pain Medicine, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Korea.
• 2 Department of Anesthesiology and Pain Medicine, Dongguk University Ilsan Hospital, Goyang, Korea.
• 3 Department of Anesthesiology and Pain Medicine, Chung-Ang University College of Medicine, Seoul, Korea.
• 4 Department of Anesthesiology and Pain Medicine, Daegu Catholic University School of Medicine, Daegu, Korea.
• 5 Department of Anesthesiology and Pain Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
• 6 Department of Medical Statistics, Daegu Catholic University School of Medicine, Daegu, Korea.
• 7 Department of Biostatistics, Dongguk University College of Medicine, Goyang, Korea.
• PMID: 35016496
• PMCID: PMC8980283
• DOI: 10.4097/kja.21508

Tables and figures are commonly adopted methods for presenting specific data or statistical analysis results. Figures can be used to display characteristics and distributions of data, allowing for intuitive understanding through visualization and thus making it easier to interpret the statistical results. To maximize the positive aspects of figure presentation and increase the accuracy of the content, in this article, the authors will describe how to choose an appropriate figure type and the necessary components to include. Additionally, this article includes examples of figures that are commonly used in research and their essential components using virtual data.

Keywords: Comparative study; Figures; Guidelines; Publication formats; Research report; Statistics..

• Research Design*

Figure Design

Criteria for success.

• Your figure leaves the audience with a clear, one-sentence main message
• You provide evidence that directly supports the main message
• Any content not related to your main message is removed from the figure

Structure Diagram

Identify your purpose.

Figures are any visual presentations of results and come in a variety of forms. Graphs, diagrams, photos, drawings, schematics, and maps are all types of figures.  Despite this variety, the purpose of all figures is to communicate two things:

• A take-away message
• Evidence showing your message is true

Your message is the reason you want to show people your data! The purpose of a figure is not only to show people your data: it should also communicate the message you have learned by interpreting that data.

Analyze Your Audience

An accurate analysis of your audience enables you to convincingly deliver your message. Ask yourself who will be viewing this figure and whether they are specialized in your field or a more general audience. Depending on the answer, you will want to tailor the complexity of your message and the amount of evidence you present.

For example, if your figure is for publication in a field-specific journal, your audience will likely have a great deal of background knowledge about your topic. In this case, you can deliver a very specific message (e.g., “RTK ligands attenuate kinase inhibition in oncogene-addicted cancer cell lines” cite: Wilson Nature 2012 ) and provide detailed evidence (e.g., flow cytometry data). Insufficient or excessively simplified evidence will result in skepticism about your message.

If your figure will be used in a presentation for a high school outreach program, your audience will have a very different set of background knowledge. Here, you should alter the message (e.g., “Cancer cells can exhibit resistance to therapies”) to make it more interpretable and present much less evidence (e.g., number of immune cells) . Giving a general audience too much evidence will be overwhelming; they won’t be able to distinguish the evidence that supports your main message from all the other details.

Choose figure designs that best communicate your message

Just as words may be better or worse at communicating an idea, different figure designs may be better or worse at communicating your message. In designing a successful figure, consider which media, figure types, and plot types (see below for examples of each) best highlight your message.

For complex messages, multiple panels can break down a message into clear statements. Multi-panel figures will likely employ a combination of media and plot types. Use the complementary strengths of each element to communicate your message.

Media can deliver identical messages, but do so differently.

• Text and speech tell precise statements.
• Tables list information with little context or interpretation.
• Figures illustrate conclusions with evidence and are open to interpretation.

As an example, compare the table and the graph below. While both contain the exact same data, the figure suggests an interpretation and it is easier to interpret trends in the figure.

Further compare these representations to the statement, “Gene B has the highest expression,” which presents one specific interpretation. Stating this interpretation would make it clear to your reader that maximum expression matters more here than, say, average expression.

Figure types present different forms of information.

• Photos portray the subject exactly, providing concrete evidence.
• Illustrations relax precision to draw attention to a chosen theme or element.
• Graphs display processes, quantities, or comparisons.

Plot types emphasize different types of data.

What are you trying to show with your data: a correlation, a distribution, an event in time?

When you have a distribution on hand, using a summary of your data (i.e. mean and standard deviation) can obscure interesting information about your data. For example, the three distributions below (normal, uniform, and bimodal) have the exact same mean (5) and similar standard deviations (2). A box-and-whisker plot would have hidden these distributions.

Tweak your figure depending on the setting

Will you be presenting your figure in an academic paper, a poster presentation, an oral presentation…? The final format dictates how your audience will interact with the figure, and how much support or explanation you will be able to provide.

Maximize your signal-to-noise ratio

Treat the message you want to communicate as your “signal”. Your goal is to transmit this signal as clearly as possible to your audience. Anything that interferes with communication of your message is “noise”. We’ve discussed ways to increase your signal by optimizing figure design. Here we will talk about strategies for minimizing noise.

Noise from evidence

Don’t drown your audience in data: include only the minimum data necessary to make your point. Including evidence that doesn’t directly support your message distracts from evidence that does.

Noise from presentation

The way you present your chosen evidence can also draw attention away from your message. Using the figure below, we’ll give a few common examples of how a figure can be improved to remove noise.

• The title of the figure is changed from a description of the data to a message about the data.
• Legends are moved directly next to the data they describe, so the reader doesn’t have to look back and forth and match colors.
• Color scheme is simplified and changed to draw attention the the relevant portion of data.
• Unnecessary 3D graphics are removed.

Source: Trees, Maps, and Theorems,  by Jean-Luc Doumont, page 99

Many other types of noise exist. For example, unnecessary gridlines or axis labels can clutter a figure. Ask yourself what you want your audience to take away from the figure, and how you can make it easier for them to locate and focus on the relevant information.

(The metaphor of “signal-to-noise ratio” comes from Jean-luc Doumont’s book Trees, Maps, and Theorems .)

Resources for advanced figure design

Out in the world are already many great resources for styling visual communications and data. One to definitely check out is this collection of articles by Bang Wong, Martin Krzywinski, and their colleagues. Here you’ll find detailed discussions and examples on:

• Visual design principles and their relationship with clarity
• The use of color
• Styling figure elements
• The strengths and weaknesses of specific plot types
• Visualizing multi-dimensional data
• Using figures to explore data

Resources and Annotated Examples

Plotting resources in r.

Find code and examples on our GitHub page for converting your default plots in R into beautiful figures.

Plotting Resources in Python

Find code and examples on our GitHub page for converting your default plots in Python into beautiful figures.

Annotated Example 1

Varying degrees of specificity within the same figure. Together, the elements provide a generalized interpretation of results, as well as the specific metrics supporting the presented outcome. 663 KB

Annotated Example 2

Clear parallels between messages between mediums. The text, graph, and styling all work to highlight the main message. 887 KB

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Seize the Grey profile: 2024 Preakness Stakes odds, post position, history and more to know about the longshot

Get caught up with seize the grey's past performances, jockey, trainer and full analysis heading into the second leg of the triple crown.

Trivia question: Which two horses enter the Preakness Stakes off a win? The answer: Kentucky Derby winner Mystik Dan and Pat Day Mile winner and 15-1 Preakness longshot Seize the Grey. The latter may not have been obvious, but Seize the Grey is in career-best form and is trained by a man who has won this race six times.

6 Seize the Grey (15-1)

• Trainer  D. Wayne Lukas
• Jockey  Jaime Torres
• Last race  First in the Pat Day Mile by 1¼ lengths
• Career record  9 starts: 3 wins, 3 thirds
• Career earnings  $619,938
• Best career Beyer Speed Figure  88 (2024 Pat Day Mile)
• Sire  Arrogate

What to know about Seize the Grey

Here's the good news for Seize the Grey fans: He has never been better. Two weeks ago in the Pat Day Mile on the Kentucky Derby undercard, he pressed a hot pace, went four-wide and split rivals to win. The victory earned a Beyer Speed Figure of 88, the best of his career. He also has versatility. Though he won the Pat Day Mile pressing the pace, he has won on the lead and rallying from fifth. He also has won on both wet and dry tracks. And he has the Coach, trainer D. Wayne Lukas, in his corner. Lukas has won the Preakness six times, the third most wins by a trainer ever.

But the bad news is that Seize the Grey figures to be too slow to win. His 88 career-best Beyer is better than just two horses in the field (longshots Mugatu and Uncle Heavy) and is well shy of the best speed figures earned by the favorites. Seize the Grey will need to improve significantly off just two weeks rest to even be competitive. The distance is a major question. Seize the Grey is 0-for-2 in races at nine furlongs or longer, having finished seventh in the Blue Grass Stakes and third in the Jeff Ruby Steaks. The Preakness will be run at 9½ furlongs. The combination of being too slow and the race being too long figures to be too much for Seize the Grey on Saturday.

Post draw analysis

Seize the Grey went fast early in the Pat Day Mile and, since it worked last time, could very well do so in the Preakness Stakes from post No. 6. That strategy also makes sense for his stablemate, Just Steel, who would be able to sit behind the speed horses and not press them like he did in the Kentucky Derby. With the scratch of Muth from the race, Seize the Grey could very well be the one setting the pace.

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May 10, 2024

Governor Newsom Unveils Revised State Budget, Prioritizing Balanced Solutions for a Leaner, More Efficient Government

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The Budget Proposal — Covering Two Years — Cuts Spending, Makes Government Leaner, and Preserves Core Services Without New Taxes on Hardworking Californians

Watch Governor Newsom’s May Revise presentation here

WHAT YOU NEED TO KNOW: The Governor’s revised budget proposal closes both this year’s remaining $27.6 billion budget shortfall and next year’s projected $28.4 billion deficit while preserving many key services that Californians rely on — including education, housing, health care, and food assistance.

SACRAMENTO – Governor Gavin Newsom today released a May Revision proposal for the 2024-25 fiscal year that ensures the budget is balanced over the next two fiscal years by tightening the state’s belt and stabilizing spending following the tumultuous COVID-19 pandemic, all while preserving key ongoing investments.

Under the Governor’s proposal, the state is projected to achieve a positive operating reserve balance not only in this budget year but also in the next. This “budget year, plus one” proposal is designed to bring longer-term stability to state finances without delay and create an operating surplus in the 2025-26 budget year.

In the years leading up to this May Revision, the Newsom Administration recognized the threats of an uncertain stock market and federal tax deadline delays – setting aside $38 billion in reserves that could be utilized for shortfalls. That has put California in a strong position to maintain fiscal stability.

Even when revenues were booming, we were preparing for possible downturns by investing in reserves and paying down debts – that’s put us in a position to close budget gaps while protecting core services that Californians depend on. Without raising taxes on Californians, we’re delivering a balanced budget over two years that continues the progress we’ve fought so hard to achieve, from getting folks off the streets to addressing the climate crisis to keeping our communities safe.

Governor Gavin Newsom

Below are the key takeaways from Governor Newsom’s proposed budget:

A BALANCED BUDGET OVER TWO YEARS. The Governor is solving two years of budget problems in a single budget, tightening the state’s belt to get the budget back to normal after the tumultuous years of the COVID-19 pandemic. By addressing the shortfall for this budget year — and next year — the Governor is eliminating the 2024-25 deficit and eliminating a projected deficit for the 2025-26 budget year that is $27.6 billion (after taking an early budget action) and $28.4 billion respectively.

CUTTING SPENDING, MAKING GOVERNMENT LEANER. Governor Newsom’s revised balanced state budget cuts one-time spending by $19.1 billion and ongoing spending by $13.7 billion through 2025-26. This includes a nearly 8% cut to state operations and a targeted elimination of 10,000 unfilled state positions, improving government efficiency and reducing non-essential spending — without raising taxes on individuals or proposing state worker furloughs. The budget makes California government more efficient, leaner, and modern — saving costs by streamlining procurement, cutting bureaucratic red tape, and reducing redundancies.

PRESERVING CORE SERVICES & SAFETY NETS. The budget maintains service levels for key housing, food, health care, and other assistance programs that Californians rely on while addressing the deficit by pausing the expansion of certain programs and decreasing numerous recent one-time and ongoing investments.

NO NEW TAXES & MORE RAINY DAY SAVINGS. Governor Newsom is balancing the budget by getting state spending under control — cutting costs, not proposing new taxes on hardworking Californians and small businesses — and reducing the reliance on the state’s “Rainy Day” reserves this year.

HOW WE GOT HERE: California’s budget shortfall is rooted in two separate but related developments over the past two years.

• First, the state’s revenue, heavily reliant on personal income taxes including capital gains, surged in 2021 due to a robust stock market but plummeted in 2022 following a market downturn. While the market bounced back by late 2023, the state continued to collect less tax revenue than projected in part due to something called “capital loss carryover,” which allows losses from previous years to reduce how much an individual is taxed.
• Second, the IRS extended the tax filing deadline for most California taxpayers in 2023 following severe winter storms, delaying the revelation of reduced tax receipts. When these receipts were able to eventually be processed, they were 22% below expectations. Without the filing delay, the revenue drop would have been incorporated into last year’s budget and the shortfall this year would be significantly smaller.

CALIFORNIA’S ECONOMY REMAINS STRONG: The Governor’s revised balanced budget sets the state up for continued economic success. California’s economy remains the 5th largest economy in the world and for the first time in years, the state’s population is increasing and tourism spending recently experienced a record high. California is #1 in the nation for new business starts , #1 for access to venture capital funding , and the #1 state for manufacturing , high-tech , and agriculture .

Additional details on the May Revise proposal can be found in this fact sheet and at www.ebudget.ca.gov .

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Statistical data presentation

1 Department of Anesthesiology and Pain Medicine, Dongguk University Ilsan Hospital, Goyang, Korea.

Sangseok Lee

2 Department of Anesthesiology and Pain Medicine, Sanggye Paik Hospital, Inje University College of Medicine, Seoul, Korea.

Data are usually collected in a raw format and thus the inherent information is difficult to understand. Therefore, raw data need to be summarized, processed, and analyzed. However, no matter how well manipulated, the information derived from the raw data should be presented in an effective format, otherwise, it would be a great loss for both authors and readers. In this article, the techniques of data and information presentation in textual, tabular, and graphical forms are introduced. Text is the principal method for explaining findings, outlining trends, and providing contextual information. A table is best suited for representing individual information and represents both quantitative and qualitative information. A graph is a very effective visual tool as it displays data at a glance, facilitates comparison, and can reveal trends and relationships within the data such as changes over time, frequency distribution, and correlation or relative share of a whole. Text, tables, and graphs for data and information presentation are very powerful communication tools. They can make an article easy to understand, attract and sustain the interest of readers, and efficiently present large amounts of complex information. Moreover, as journal editors and reviewers glance at these presentations before reading the whole article, their importance cannot be ignored.

Introduction

Data are a set of facts, and provide a partial picture of reality. Whether data are being collected with a certain purpose or collected data are being utilized, questions regarding what information the data are conveying, how the data can be used, and what must be done to include more useful information must constantly be kept in mind.

Since most data are available to researchers in a raw format, they must be summarized, organized, and analyzed to usefully derive information from them. Furthermore, each data set needs to be presented in a certain way depending on what it is used for. Planning how the data will be presented is essential before appropriately processing raw data.

First, a question for which an answer is desired must be clearly defined. The more detailed the question is, the more detailed and clearer the results are. A broad question results in vague answers and results that are hard to interpret. In other words, a well-defined question is crucial for the data to be well-understood later. Once a detailed question is ready, the raw data must be prepared before processing. These days, data are often summarized, organized, and analyzed with statistical packages or graphics software. Data must be prepared in such a way they are properly recognized by the program being used. The present study does not discuss this data preparation process, which involves creating a data frame, creating/changing rows and columns, changing the level of a factor, categorical variable, coding, dummy variables, variable transformation, data transformation, missing value, outlier treatment, and noise removal.

We describe the roles and appropriate use of text, tables, and graphs (graphs, plots, or charts), all of which are commonly used in reports, articles, posters, and presentations. Furthermore, we discuss the issues that must be addressed when presenting various kinds of information, and effective methods of presenting data, which are the end products of research, and of emphasizing specific information.

Data Presentation

Data can be presented in one of the three ways:

–as text;

–in tabular form; or

–in graphical form.

Methods of presentation must be determined according to the data format, the method of analysis to be used, and the information to be emphasized. Inappropriately presented data fail to clearly convey information to readers and reviewers. Even when the same information is being conveyed, different methods of presentation must be employed depending on what specific information is going to be emphasized. A method of presentation must be chosen after carefully weighing the advantages and disadvantages of different methods of presentation. For easy comparison of different methods of presentation, let us look at a table ( Table 1 ) and a line graph ( Fig. 1 ) that present the same information [ 1 ]. If one wishes to compare or introduce two values at a certain time point, it is appropriate to use text or the written language. However, a table is the most appropriate when all information requires equal attention, and it allows readers to selectively look at information of their own interest. Graphs allow readers to understand the overall trend in data, and intuitively understand the comparison results between two groups. One thing to always bear in mind regardless of what method is used, however, is the simplicity of presentation.

Values are expressed as mean ± SD. Group C: normal saline, Group D: dexmedetomidine. SBP: systolic blood pressure, DBP: diastolic blood pressure, MBP: mean blood pressure, HR: heart rate. * P < 0.05 indicates a significant increase in each group, compared with the baseline values. † P < 0.05 indicates a significant decrease noted in Group D, compared with the baseline values. ‡ P < 0.05 indicates a significant difference between the groups.

Text presentation

Text is the main method of conveying information as it is used to explain results and trends, and provide contextual information. Data are fundamentally presented in paragraphs or sentences. Text can be used to provide interpretation or emphasize certain data. If quantitative information to be conveyed consists of one or two numbers, it is more appropriate to use written language than tables or graphs. For instance, information about the incidence rates of delirium following anesthesia in 2016–2017 can be presented with the use of a few numbers: “The incidence rate of delirium following anesthesia was 11% in 2016 and 15% in 2017; no significant difference of incidence rates was found between the two years.” If this information were to be presented in a graph or a table, it would occupy an unnecessarily large space on the page, without enhancing the readers' understanding of the data. If more data are to be presented, or other information such as that regarding data trends are to be conveyed, a table or a graph would be more appropriate. By nature, data take longer to read when presented as texts and when the main text includes a long list of information, readers and reviewers may have difficulties in understanding the information.

Table presentation

Tables, which convey information that has been converted into words or numbers in rows and columns, have been used for nearly 2,000 years. Anyone with a sufficient level of literacy can easily understand the information presented in a table. Tables are the most appropriate for presenting individual information, and can present both quantitative and qualitative information. Examples of qualitative information are the level of sedation [ 2 ], statistical methods/functions [ 3 , 4 ], and intubation conditions [ 5 ].

The strength of tables is that they can accurately present information that cannot be presented with a graph. A number such as “132.145852” can be accurately expressed in a table. Another strength is that information with different units can be presented together. For instance, blood pressure, heart rate, number of drugs administered, and anesthesia time can be presented together in one table. Finally, tables are useful for summarizing and comparing quantitative information of different variables. However, the interpretation of information takes longer in tables than in graphs, and tables are not appropriate for studying data trends. Furthermore, since all data are of equal importance in a table, it is not easy to identify and selectively choose the information required.

For a general guideline for creating tables, refer to the journal submission requirements 1) .

Heat maps for better visualization of information than tables

Heat maps help to further visualize the information presented in a table by applying colors to the background of cells. By adjusting the colors or color saturation, information is conveyed in a more visible manner, and readers can quickly identify the information of interest ( Table 2 ). Software such as Excel (in Microsoft Office, Microsoft, WA, USA) have features that enable easy creation of heat maps through the options available on the “conditional formatting” menu.

All numbers were created by the author. SBP: systolic blood pressure, DBP: diastolic blood pressure, MBP: mean blood pressure, HR: heart rate.

Graph presentation

Whereas tables can be used for presenting all the information, graphs simplify complex information by using images and emphasizing data patterns or trends, and are useful for summarizing, explaining, or exploring quantitative data. While graphs are effective for presenting large amounts of data, they can be used in place of tables to present small sets of data. A graph format that best presents information must be chosen so that readers and reviewers can easily understand the information. In the following, we describe frequently used graph formats and the types of data that are appropriately presented with each format with examples.

Scatter plot

Scatter plots present data on the x - and y -axes and are used to investigate an association between two variables. A point represents each individual or object, and an association between two variables can be studied by analyzing patterns across multiple points. A regression line is added to a graph to determine whether the association between two variables can be explained or not. Fig. 2 illustrates correlations between pain scoring systems that are currently used (PSQ, Pain Sensitivity Questionnaire; PASS, Pain Anxiety Symptoms Scale; PCS, Pain Catastrophizing Scale) and Geop-Pain Questionnaire (GPQ) with the correlation coefficient, R, and regression line indicated on the scatter plot [ 6 ]. If multiple points exist at an identical location as in this example ( Fig. 2 ), the correlation level may not be clear. In this case, a correlation coefficient or regression line can be added to further elucidate the correlation.

Bar graph and histogram

A bar graph is used to indicate and compare values in a discrete category or group, and the frequency or other measurement parameters (i.e. mean). Depending on the number of categories, and the size or complexity of each category, bars may be created vertically or horizontally. The height (or length) of a bar represents the amount of information in a category. Bar graphs are flexible, and can be used in a grouped or subdivided bar format in cases of two or more data sets in each category. Fig. 3 is a representative example of a vertical bar graph, with the x -axis representing the length of recovery room stay and drug-treated group, and the y -axis representing the visual analog scale (VAS) score. The mean and standard deviation of the VAS scores are expressed as whiskers on the bars ( Fig. 3 ) [ 7 ].

By comparing the endpoints of bars, one can identify the largest and the smallest categories, and understand gradual differences between each category. It is advised to start the x - and y -axes from 0. Illustration of comparison results in the x - and y -axes that do not start from 0 can deceive readers' eyes and lead to overrepresentation of the results.

One form of vertical bar graph is the stacked vertical bar graph. A stack vertical bar graph is used to compare the sum of each category, and analyze parts of a category. While stacked vertical bar graphs are excellent from the aspect of visualization, they do not have a reference line, making comparison of parts of various categories challenging ( Fig. 4 ) [ 8 ].

A pie chart, which is used to represent nominal data (in other words, data classified in different categories), visually represents a distribution of categories. It is generally the most appropriate format for representing information grouped into a small number of categories. It is also used for data that have no other way of being represented aside from a table (i.e. frequency table). Fig. 5 illustrates the distribution of regular waste from operation rooms by their weight [ 8 ]. A pie chart is also commonly used to illustrate the number of votes each candidate won in an election.

Line plot with whiskers

A line plot is useful for representing time-series data such as monthly precipitation and yearly unemployment rates; in other words, it is used to study variables that are observed over time. Line graphs are especially useful for studying patterns and trends across data that include climatic influence, large changes or turning points, and are also appropriate for representing not only time-series data, but also data measured over the progression of a continuous variable such as distance. As can be seen in Fig. 1 , mean and standard deviation of systolic blood pressure are indicated for each time point, which enables readers to easily understand changes of systolic pressure over time [ 1 ]. If data are collected at a regular interval, values in between the measurements can be estimated. In a line graph, the x-axis represents the continuous variable, while the y-axis represents the scale and measurement values. It is also useful to represent multiple data sets on a single line graph to compare and analyze patterns across different data sets.

Box and whisker chart

A box and whisker chart does not make any assumptions about the underlying statistical distribution, and represents variations in samples of a population; therefore, it is appropriate for representing nonparametric data. AA box and whisker chart consists of boxes that represent interquartile range (one to three), the median and the mean of the data, and whiskers presented as lines outside of the boxes. Whiskers can be used to present the largest and smallest values in a set of data or only a part of the data (i.e. 95% of all the data). Data that are excluded from the data set are presented as individual points and are called outliers. The spacing at both ends of the box indicates dispersion in the data. The relative location of the median demonstrated within the box indicates skewness ( Fig. 6 ). The box and whisker chart provided as an example represents calculated volumes of an anesthetic, desflurane, consumed over the course of the observation period ( Fig. 7 ) [ 9 ].

Three-dimensional effects

Most of the recently introduced statistical packages and graphics software have the three-dimensional (3D) effect feature. The 3D effects can add depth and perspective to a graph. However, since they may make reading and interpreting data more difficult, they must only be used after careful consideration. The application of 3D effects on a pie chart makes distinguishing the size of each slice difficult. Even if slices are of similar sizes, slices farther from the front of the pie chart may appear smaller than the slices closer to the front ( Fig. 8 ).

Drawing a graph: example

Finally, we explain how to create a graph by using a line graph as an example ( Fig. 9 ). In Fig. 9 , the mean values of arterial pressure were randomly produced and assumed to have been measured on an hourly basis. In many graphs, the x- and y-axes meet at the zero point ( Fig. 9A ). In this case, information regarding the mean and standard deviation of mean arterial pressure measurements corresponding to t = 0 cannot be conveyed as the values overlap with the y-axis. The data can be clearly exposed by separating the zero point ( Fig. 9B ). In Fig. 9B , the mean and standard deviation of different groups overlap and cannot be clearly distinguished from each other. Separating the data sets and presenting standard deviations in a single direction prevents overlapping and, therefore, reduces the visual inconvenience. Doing so also reduces the excessive number of ticks on the y-axis, increasing the legibility of the graph ( Fig. 9C ). In the last graph, different shapes were used for the lines connecting different time points to further allow the data to be distinguished, and the y-axis was shortened to get rid of the unnecessary empty space present in the previous graphs ( Fig. 9D ). A graph can be made easier to interpret by assigning each group to a different color, changing the shape of a point, or including graphs of different formats [ 10 ]. The use of random settings for the scale in a graph may lead to inappropriate presentation or presentation of data that can deceive readers' eyes ( Fig. 10 ).

Owing to the lack of space, we could not discuss all types of graphs, but have focused on describing graphs that are frequently used in scholarly articles. We have summarized the commonly used types of graphs according to the method of data analysis in Table 3 . For general guidelines on graph designs, please refer to the journal submission requirements 2) .

Conclusions

Text, tables, and graphs are effective communication media that present and convey data and information. They aid readers in understanding the content of research, sustain their interest, and effectively present large quantities of complex information. As journal editors and reviewers will scan through these presentations before reading the entire text, their importance cannot be disregarded. For this reason, authors must pay as close attention to selecting appropriate methods of data presentation as when they were collecting data of good quality and analyzing them. In addition, having a well-established understanding of different methods of data presentation and their appropriate use will enable one to develop the ability to recognize and interpret inappropriately presented data or data presented in such a way that it deceives readers' eyes [ 11 ].

<Appendix>

Output for presentation.

Discovery and communication are the two objectives of data visualization. In the discovery phase, various types of graphs must be tried to understand the rough and overall information the data are conveying. The communication phase is focused on presenting the discovered information in a summarized form. During this phase, it is necessary to polish images including graphs, pictures, and videos, and consider the fact that the images may look different when printed than how appear on a computer screen. In this appendix, we discuss important concepts that one must be familiar with to print graphs appropriately.

The KJA asks that pictures and images meet the following requirement before submission 3)

“Figures and photographs should be submitted as ‘TIFF’ files. Submit files of figures and photographs separately from the text of the paper. Width of figure should be 84 mm (one column). Contrast of photos or graphs should be at least 600 dpi. Contrast of line drawings should be at least 1,200 dpi. The Powerpoint file (ppt, pptx) is also acceptable.”

Unfortunately, without sufficient knowledge of computer graphics, it is not easy to understand the submission requirement above. Therefore, it is necessary to develop an understanding of image resolution, image format (bitmap and vector images), and the corresponding file specifications.

Resolution is often mentioned to describe the quality of images containing graphs or CT/MRI scans, and video files. The higher the resolution, the clearer and closer to reality the image is, while the opposite is true for low resolutions. The most representative unit used to describe a resolution is “dpi” (dots per inch): this literally translates to the number of dots required to constitute 1 inch. The greater the number of dots, the higher the resolution. The KJA submission requirements recommend 600 dpi for images, and 1,200 dpi 4) for graphs. In other words, resolutions in which 600 or 1,200 dots constitute one inch are required for submission.

There are requirements for the horizontal length of an image in addition to the resolution requirements. While there are no requirements for the vertical length of an image, it must not exceed the vertical length of a page. The width of a column on one side of a printed page is 84 mm, or 3.3 inches (84/25.4 mm ≒ 3.3 inches). Therefore, a graph must have a resolution in which 1,200 dots constitute 1 inch, and have a width of 3.3 inches.

Bitmap and Vector

Methods of image construction are important. Bitmap images can be considered as images drawn on section paper. Enlarging the image will enlarge the picture along with the grid, resulting in a lower resolution; in other words, aliasing occurs. On the other hand, reducing the size of the image will reduce the size of the picture, while increasing the resolution. In other words, resolution and the size of an image are inversely proportionate to one another in bitmap images, and it is a drawback of bitmap images that resolution must be considered when adjusting the size of an image. To enlarge an image while maintaining the same resolution, the size and resolution of the image must be determined before saving the image. An image that has already been created cannot avoid changes to its resolution according to changes in size. Enlarging an image while maintaining the same resolution will increase the number of horizontal and vertical dots, ultimately increasing the number of pixels 5) of the image, and the file size. In other words, the file size of a bitmap image is affected by the size and resolution of the image (file extensions include JPG [JPEG] 6) , PNG 7) , GIF 8) , and TIF [TIFF] 9) . To avoid this complexity, the width of an image can be set to 4 inches and its resolution to 900 dpi to satisfy the submission requirements of most journals [ 12 ].

Vector images overcome the shortcomings of bitmap images. Vector images are created based on mathematical operations of line segments and areas between different points, and are not affected by aliasing or pixelation. Furthermore, they result in a smaller file size that is not affected by the size of the image. They are commonly used for drawings and illustrations (file extensions include EPS 10) , CGM 11) , and SVG 12) ).

Finally, the PDF 13) is a file format developed by Adobe Systems (Adobe Systems, CA, USA) for electronic documents, and can contain general documents, text, drawings, images, and fonts. They can also contain bitmap and vector images. While vector images are used by researchers when working in Powerpoint, they are saved as 960 × 720 dots when saved in TIFF format in Powerpoint. This results in a resolution that is inappropriate for printing on a paper medium. To save high-resolution bitmap images, the image must be saved as a PDF file instead of a TIFF, and the saved PDF file must be imported into an imaging processing program such as Photoshop™(Adobe Systems, CA, USA) to be saved in TIFF format [ 12 ].

1) Instructions to authors in KJA; section 5-(9) Table; https://ekja.org/index.php?body=instruction

2) Instructions to Authors in KJA; section 6-1)-(10) Figures and illustrations in Manuscript preparation; https://ekja.org/index.php?body=instruction

3) Instructions to Authors in KJA; section 6-1)-(10) Figures and illustrations in Manuscript preparation; https://ekja.org/index.php?body=instruction

4) Resolution; in KJA, it is represented by “contrast.”

5) Pixel is a minimum unit of an image and contains information of a dot and color. It is derived by multiplying the number of vertical and horizontal dots regardless of image size. For example, Full High Definition (FHD) monitor has 1920 × 1080 dots ≒ 2.07 million pixel.

6) Joint Photographic Experts Group.

7) Portable Network Graphics.

8) Graphics Interchange Format

9) Tagged Image File Format; TIFF

10) Encapsulated PostScript.

11) Computer Graphics Metafile.

12) Scalable Vector Graphics.

13) Portable Document Format.

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