how to include graphs in a research paper

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Tables and Figures

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Note:  This page reflects the latest version of the APA Publication Manual (i.e., APA 7), which released in October 2019. The equivalent resources for the older APA 6 style  can be found at this page  as well as at this page (our old resources covered the material on this page on two separate pages).

The purpose of tables and figures in documents is to enhance your readers' understanding of the information in the document; usually, large amounts of information can be communicated more efficiently in tables or figures. Tables are any graphic that uses a row and column structure to organize information, whereas figures include any illustration or image other than a table.

General guidelines

Visual material such as tables and figures can be used quickly and efficiently to present a large amount of information to an audience, but visuals must be used to assist communication, not to use up space, or disguise marginally significant results behind a screen of complicated statistics. Ask yourself this question first: Is the table or figure necessary? For example, it is better to present simple descriptive statistics in the text, not in a table.

Relation of Tables or Figures and Text

Because tables and figures supplement the text, refer in the text to all tables and figures used and explain what the reader should look for when using the table or figure. Focus only on the important point the reader should draw from them, and leave the details for the reader to examine on their own.

Documentation

If you are using figures, tables and/or data from other sources, be sure to gather all the information you will need to properly document your sources.

Integrity and Independence

Each table and figure must be intelligible without reference to the text, so be sure to include an explanation of every abbreviation (except the standard statistical symbols and abbreviations).

Organization, Consistency, and Coherence

Number all tables sequentially as you refer to them in the text (Table 1, Table 2, etc.), likewise for figures (Figure 1, Figure 2, etc.). Abbreviations, terminology, and probability level values must be consistent across tables and figures in the same article. Likewise, formats, titles, and headings must be consistent. Do not repeat the same data in different tables.

Data in a table that would require only two or fewer columns and rows should be presented in the text. More complex data is better presented in tabular format. In order for quantitative data to be presented clearly and efficiently, it must be arranged logically, e.g. data to be compared must be presented next to one another (before/after, young/old, male/female, etc.), and statistical information (means, standard deviations, N values) must be presented in separate parts of the table. If possible, use canonical forms (such as ANOVA, regression, or correlation) to communicate your data effectively.

A generic example of a table with multiple notes formatted in APA 7 style.

Elements of Tables

Number all tables with Arabic numerals sequentially. Do not use suffix letters (e.g. Table 3a, 3b, 3c); instead, combine the related tables. If the manuscript includes an appendix with tables, identify them with capital letters and Arabic numerals (e.g. Table A1, Table B2).

Like the title of the paper itself, each table must have a clear and concise title. Titles should be written in italicized title case below the table number, with a blank line between the number and the title. When appropriate, you may use the title to explain an abbreviation parenthetically.

Comparison of Median Income of Adopted Children (AC) v. Foster Children (FC)

Keep headings clear and brief. The heading should not be much wider than the widest entry in the column. Use of standard abbreviations can aid in achieving that goal. There are several types of headings:

• Stub headings describe the lefthand column, or stub column , which usually lists major independent variables.
• Column headings describe entries below them, applying to just one column.
• Column spanners are headings that describe entries below them, applying to two or more columns which each have their own column heading. Column spanners are often stacked on top of column headings and together are called decked heads .
• Table Spanners cover the entire width of the table, allowing for more divisions or combining tables with identical column headings. They are the only type of heading that may be plural.

All columns must have headings, written in sentence case and using singular language (Item rather than Items) unless referring to a group (Men, Women). Each column’s items should be parallel (i.e., every item in a column labeled “%” should be a percentage and does not require the % symbol, since it’s already indicated in the heading). Subsections within the stub column can be shown by indenting headings rather than creating new columns:

Chemical Bonds

     Ionic

     Covalent

     Metallic

The body is the main part of the table, which includes all the reported information organized in cells (intersections of rows and columns). Entries should be center aligned unless left aligning them would make them easier to read (longer entries, usually). Word entries in the body should use sentence case. Leave cells blank if the element is not applicable or if data were not obtained; use a dash in cells and a general note if it is necessary to explain why cells are blank.   In reporting the data, consistency is key: Numerals should be expressed to a consistent number of decimal places that is determined by the precision of measurement. Never change the unit of measurement or the number of decimal places in the same column.

There are three types of notes for tables: general, specific, and probability notes. All of them must be placed below the table in that order.

General  notes explain, qualify or provide information about the table as a whole. Put explanations of abbreviations, symbols, etc. here.

Example:  Note . The racial categories used by the US Census (African-American, Asian American, Latinos/-as, Native-American, and Pacific Islander) have been collapsed into the category “non-White.” E = excludes respondents who self-identified as “White” and at least one other “non-White” race.

Specific  notes explain, qualify or provide information about a particular column, row, or individual entry. To indicate specific notes, use superscript lowercase letters (e.g.  a ,  b ,  c ), and order the superscripts from left to right, top to bottom. Each table’s first footnote must be the superscript  a .

a  n = 823.  b  One participant in this group was diagnosed with schizophrenia during the survey.

Probability  notes provide the reader with the results of the tests for statistical significance. Asterisks indicate the values for which the null hypothesis is rejected, with the probability ( p value) specified in the probability note. Such notes are required only when relevant to the data in the table. Consistently use the same number of asterisks for a given alpha level throughout your paper.

* p < .05. ** p < .01. *** p < .001

If you need to distinguish between two-tailed and one-tailed tests in the same table, use asterisks for two-tailed p values and an alternate symbol (such as daggers) for one-tailed p values.

* p < .05, two-tailed. ** p < .01, two-tailed. † p <.05, one-tailed. †† p < .01, one-tailed.

Borders 

Tables should only include borders and lines that are needed for clarity (i.e., between elements of a decked head, above column spanners, separating total rows, etc.). Do not use vertical borders, and do not use borders around each cell. Spacing and strict alignment is typically enough to clarify relationships between elements.

Example of a table in the text of an APA 7 paper. Note the lack of vertical borders.

Tables from Other Sources

If using tables from an external source, copy the structure of the original exactly, and cite the source in accordance with  APA style .

Table Checklist

(Taken from the  Publication Manual of the American Psychological Association , 7th ed., Section 7.20)

• Is the table necessary?
• Does it belong in the print and electronic versions of the article, or can it go in an online supplemental file?
• Are all comparable tables presented consistently?
• Are all tables numbered with Arabic numerals in the order they are mentioned in the text? Is the table number bold and left-aligned?
• Are all tables referred to in the text?
• Is the title brief but explanatory? Is it presented in italicized title case and left-aligned?
• Does every column have a column heading? Are column headings centered?
• Are all abbreviations; special use of italics, parentheses, and dashes; and special symbols explained?
• Are the notes organized according to the convention of general, specific, probability?
• Are table borders correctly used (top and bottom of table, beneath column headings, above table spanners)?
• Does the table use correct line spacing (double for the table number, title, and notes; single, one and a half, or double for the body)?
• Are entries in the left column left-aligned beneath the centered stub heading? Are all other column headings and cell entries centered?
• Are confidence intervals reported for all major point estimates?
• Are all probability level values correctly identified, and are asterisks attached to the appropriate table entries? Is a probability level assigned the same number of asterisks in all the tables in the same document?
• If the table or its data are from another source, is the source properly cited? Is permission necessary to reproduce the table?

Figures include all graphical displays of information that are not tables. Common types include graphs, charts, drawings, maps, plots, and photos. Just like tables, figures should supplement the text and should be both understandable on their own and referenced fully in the text. This section details elements of formatting writers must use when including a figure in an APA document, gives an example of a figure formatted in APA style, and includes a checklist for formatting figures.

Preparing Figures

In preparing figures, communication and readability must be the ultimate criteria. Avoid the temptation to use the special effects available in most advanced software packages. While three-dimensional effects, shading, and layered text may look interesting to the author, overuse, inconsistent use, and misuse may distort the data, and distract or even annoy readers. Design properly done is inconspicuous, almost invisible, because it supports communication. Design improperly, or amateurishly, done draws the reader’s attention from the data, and makes him or her question the author’s credibility. Line drawings are usually a good option for readability and simplicity; for photographs, high contrast between background and focal point is important, as well as cropping out extraneous detail to help the reader focus on the important aspects of the photo.

Parts of a Figure

All figures that are part of the main text require a number using Arabic numerals (Figure 1, Figure 2, etc.). Numbers are assigned based on the order in which figures appear in the text and are bolded and left aligned.

Under the number, write the title of the figure in italicized title case. The title should be brief, clear, and explanatory, and both the title and number should be double spaced.

The image of the figure is the body, and it is positioned underneath the number and title. The image should be legible in both size and resolution; fonts should be sans serif, consistently sized, and between 8-14 pt. Title case should be used for axis labels and other headings; descriptions within figures should be in sentence case. Shading and color should be limited for clarity; use patterns along with color and check contrast between colors with free online checkers to ensure all users (people with color vision deficiencies or readers printing in grayscale, for instance) can access the content. Gridlines and 3-D effects should be avoided unless they are necessary for clarity or essential content information.

Legends, or keys, explain symbols, styles, patterns, shading, or colors in the image. Words in the legend should be in title case; legends should go within or underneath the image rather than to the side. Not all figures will require a legend.

Notes clarify the content of the figure; like tables, notes can be general, specific, or probability. General notes explain units of measurement, symbols, and abbreviations, or provide citation information. Specific notes identify specific elements using superscripts; probability notes explain statistical significance of certain values.

A generic example of a figure formatted in APA 7 style.

Figure Checklist 

(Taken from the  Publication Manual of the American Psychological Association , 7 th ed., Section 7.35)

• Is the figure necessary?
• Does the figure belong in the print and electronic versions of the article, or is it supplemental?
• Is the figure simple, clean, and free of extraneous detail?
• Is the figure title descriptive of the content of the figure? Is it written in italic title case and left aligned?
• Are all elements of the figure clearly labeled?
• Are the magnitude, scale, and direction of grid elements clearly labeled?
• Are parallel figures or equally important figures prepared according to the same scale?
• Are the figures numbered consecutively with Arabic numerals? Is the figure number bold and left aligned?
• Has the figure been formatted properly? Is the font sans serif in the image portion of the figure and between sizes 8 and 14?
• Are all abbreviations and special symbols explained?
• If the figure has a legend, does it appear within or below the image? Are the legend’s words written in title case?
• Are the figure notes in general, specific, and probability order? Are they double-spaced, left aligned, and in the same font as the paper?
• Are all figures mentioned in the text?
• Has written permission for print and electronic reuse been obtained? Is proper credit given in the figure caption?
• Have all substantive modifications to photographic images been disclosed?
• Are the figures being submitted in a file format acceptable to the publisher?
• Have the files been produced at a sufficiently high resolution to allow for accurate reproduction?

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How to Use Tables & Graphs in a Research Paper

It might not seem very relevant to the story and outcome of your study, but how you visually present your experimental or statistical results can play an important role during the review and publication process of your article. A presentation that is in line with the overall logical flow of your story helps you guide the reader effectively from your introduction to your conclusion. 

If your results (and the way you organize and present them) don’t follow the story you outlined in the beginning, then you might confuse the reader and they might end up doubting the validity of your research, which can increase the chance of your manuscript being rejected at an early stage. This article illustrates the options you have when organizing and writing your results and will help you make the best choice for presenting your study data in a research paper.

Why does data visualization matter?

Your data and the results of your analysis are the core of your study. Of course, you need to put your findings and what you think your findings mean into words in the text of your article. But you also need to present the same information visually, in the results section of your manuscript, so that the reader can follow and verify that they agree with your observations and conclusions. 

The way you visualize your data can either help the reader to comprehend quickly and identify the patterns you describe and the predictions you make, or it can leave them wondering what you are trying to say or whether your claims are supported by evidence. Different types of data therefore need to be presented in different ways, and whatever way you choose needs to be in line with your story. 

Another thing to keep in mind is that many journals have specific rules or limitations (e.g., how many tables and graphs you are allowed to include, what kind of data needs to go on what kind of graph) and specific instructions on how to generate and format data tables and graphs (e.g., maximum number of subpanels, length and detail level of tables). In the following, we will go into the main points that you need to consider when organizing your data and writing your result section .

Table of Contents:

Types of data , when to use data tables .

• When to Use Data Graphs 

Common Types of Graphs in Research Papers 

Journal guidelines: what to consider before submission.

Depending on the aim of your research and the methods and procedures you use, your data can be quantitative or qualitative. Quantitative data, whether objective (e.g., size measurements) or subjective (e.g., rating one’s own happiness on a scale), is what is usually collected in experimental research. Quantitative data are expressed in numbers and analyzed with the most common statistical methods. Qualitative data, on the other hand, can consist of case studies or historical documents, or it can be collected through surveys and interviews. Qualitative data are expressed in words and needs to be categorized and interpreted to yield meaningful outcomes. 

Quantitative data example: Height differences between two groups of participants Qualitative data example: Subjective feedback on the food quality in the work cafeteria

Depending on what kind of data you have collected and what story you want to tell with it, you have to find the best way of organizing and visualizing your results.

When you want to show the reader in detail how your independent and dependent variables interact, then a table (with data arranged in columns and rows) is your best choice. In a table, readers can look up exact values, compare those values between pairs or groups of related measurements (e.g., growth rates or outcomes of a medical procedure over several years), look at ranges and intervals, and select specific factors to search for patterns. 

Tables are not restrained to a specific type of data or measurement. Since tables really need to be read, they activate the verbal system. This requires focus and some time (depending on how much data you are presenting), but it gives the reader the freedom to explore the data according to their own interest. Depending on your audience, this might be exactly what your readers want. If you explain and discuss all the variables that your table lists in detail in your manuscript text, then you definitely need to give the reader the chance to look at the details for themselves and follow your arguments. If your analysis only consists of simple t-tests to assess differences between two groups, you can report these results in the text (in this case: mean, standard deviation, t-statistic, and p-value), and do not necessarily need to include a table that simply states the same numbers again. If you did extensive analyses but focus on only part of that data (and clearly explain why, so that the reader does not think you forgot to talk about the rest), then a graph that illustrates and emphasizes the specific result or relationship that you consider the main point of your story might be a better choice.

When to Use Data Graphs

Graphs are a visual display of information and show the overall shape of your results rather than the details. If used correctly, a visual representation helps your (or your reader’s) brain to quickly understand large amounts of data and spot patterns, trends, and exceptions or outliers. Graphs also make it easier to illustrate relationships between entire data sets. This is why, when you analyze your results, you usually don’t just look at the numbers and the statistical values of your tests, but also at histograms, box plots, and distribution plots, to quickly get an overview of what is going on in your data.

Line graphs

When you want to illustrate a change over a continuous range or time, a line graph is your best choice. Changes in different groups or samples over the same range or time can be shown by lines of different colors or with different symbols.

Example: Let’s collapse across the different food types and look at the growth of our four fish species over time.

You should use a bar graph when your data is not continuous but divided into categories that are not necessarily connected, such as different samples, methods, or setups. In our example, the different fish types or the different types of food are such non-continuous categories.

Example: Let’s collapse across the food types again and also across time, and only compare the overall weight increase of our four fish types at the end of the feeding period.

Scatter plots

Scatter plots can be used to illustrate the relationship between two variables — but note that both have to be continuous. The following example displays “fish length” as an additional variable–none of the variables in our table above (fish type, fish food, time) are continuous, and they can therefore not be used for this kind of graph. 

As you see, these example graphs all contain less data than the table above, but they lead the reader to exactly the key point of your results or the finding you want to emphasize. If you let your readers search for these observations in a big table full of details that are not necessarily relevant to the claims you want to make, you can create unnecessary confusion. Most journals allow you to provide bigger datasets as supplementary information, and some even require you to upload all your raw data at submission. When you write up your manuscript, however, matching the data presentation to the storyline is more important than throwing everything you have at the reader. 

Don’t forget that every graph needs to have clear x and y axis labels , a title that summarizes what is shown above the figure, and a descriptive legend/caption below. Since your caption needs to stand alone and the reader needs to be able to understand it without looking at the text, you need to explain what you measured/tested and spell out all labels and abbreviations you use in any of your graphs once more in the caption (even if you think the reader “should” remember everything by now, make it easy for them and guide them through your results once more). Have a look at this article if you need help on how to write strong and effective figure legends .

Even if you have thought about the data you have, the story you want to tell, and how to guide the reader most effectively through your results, you need to check whether the journal you plan to submit to has specific guidelines and limitations when it comes to tables and graphs. Some journals allow you to submit any tables and graphs initially (as long as tables are editable (for example in Word format, not an image) and graphs of high enough resolution. 

Some others, however, have very specific instructions even at the submission stage, and almost all journals will ask you to follow their formatting guidelines once your manuscript is accepted. The closer your figures are already to those guidelines, the faster your article can be published. This PLOS One Figure Preparation Checklist is a good example of how extensive these instructions can be – don’t wait until the last minute to realize that you have to completely reorganize your results because your target journal does not accept tables above a certain length or graphs with more than 4 panels per figure. 

Some things you should always pay attention to (and look at already published articles in the same journal if you are unsure or if the author instructions seem confusing) are the following:

• How many tables and graphs are you allowed to include?
• What file formats are you allowed to submit?
• Are there specific rules on resolution/dimension/file size?
• Should your figure files be uploaded separately or placed into the text?
• If figures are uploaded separately, do the files have to be named in a specific way?
• Are there rules on what fonts to use or to avoid and how to label subpanels?
• Are you allowed to use color? If not, make sure your data sets are distinguishable.

If you are dealing with digital image data, then it might also be a good idea to familiarize yourself with the difference between “adjusting” for clarity and visibility and image manipulation, which constitutes scientific misconduct .  And to fully prepare your research paper for publication before submitting it, be sure to receive proofreading services , including journal manuscript editing and research paper editing , from Wordvice’s professional academic editors .

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Home » Figures in Research Paper – Examples and Guide

Figures in Research Paper – Examples and Guide

Table of Contents

Figures in Research Paper

Figures play an essential role in research papers as they provide a visual representation of data, results, and concepts presented in the text. Figures can include graphs, charts, diagrams, photographs, and other visual aids that enhance the reader’s understanding of the research.

Importance of Figures in Research Paper

Here are some specific ways in which figures can be important in a research paper:

• Visual representation of data : Figures can be used to present data in a clear and concise way. This makes it easier for readers to understand the results of experiments and studies.
• Simplify complex ideas: Some concepts can be difficult to explain using words alone. Figures can be used to simplify complex ideas and make them more accessible to a wider audience.
• Increase reader engagement : Figures can make a research paper more engaging and interesting to read. They break up long blocks of text and can make the paper more visually appealing.
• Support arguments: Figures can be used to support arguments made in the paper. For example, a graph or chart can be used to show a correlation between two variables, providing evidence for a particular hypothesis.
• Convey important information: Figures can be used to convey important information quickly and efficiently. This is particularly useful when the paper is being read by someone who is short on time and needs to quickly understand the main points.

Types of Figures in Research Paper

There are several types of figures commonly used in research papers, including:

• Line graphs: These are used to show trends or changes in data over time.
• Bar graphs: These are used to compare data across different categories or groups.
• Pie charts: These are used to show proportions or percentages of data.
• Scatterplots : These are used to show the relationship between two variables.
• Tables : These are used to present large amounts of data in a structured format.
• Photographs or images : These are used to provide visual context or examples of the research being presented.
• Diagrams or schematics : These are used to illustrate complex processes or systems.

How to add Figures to Research Paper

Adding figures to a research paper can be a great way to visually convey important information to the reader. Here are some general guidelines for adding figures to your research paper:

• Determine the appropriate type of figure: Depending on the information you want to convey, you may want to use a graph, chart, table, photograph, or other type of figure.
• Label the figure: Give your figure a descriptive title and number it. Also, include a brief caption that explains what the figure shows.
• Place the figure in the appropriate location : Generally, figures should be placed as close as possible to the text that refers to them. For example, if you mention a figure in the middle of a paragraph, it should be placed within that paragraph.
• Format the figure appropriately: Ensure that the figure is clear and easy to read. Use consistent fonts and font sizes, and make sure the figure is large enough to be easily seen.
• Cite the source of the figure: If the figure was not created by you, you must cite the source of the figure in your paper. This includes citing the author or creator, the date of creation, and any relevant publication information.
• Consider copyright : Ensure that you have permission to use any figures that are copyrighted. If the figure is copyrighted, you may need to obtain permission from the copyright holder to use it in your paper.

How to Label Figures in Research Paper

Labeling figures in a research paper is an important task that helps readers to understand the content of the paper. Here are the steps to label figures in a research paper:

• Decide on the numbering system: Before labeling the figures, decide on the numbering system that you want to use. Typically, figures are numbered consecutively throughout the paper, with the first figure being labeled as “Figure 1,” the second figure as “Figure 2,” and so on.
• Choose a clear and concise caption: A caption is a brief description of the figure that appears below the figure. It should be clear and concise and should describe the content of the figure accurately. The caption should be written in a way that readers can understand the figure without having to read the entire paper.
• Place the label and caption appropriately: The label and caption should be placed below the figure. The label should be centered and should include the figure number and a brief title. The caption should be placed below the label and should describe the figure in detail.
• Use consistent formatting: Make sure that the formatting of the labels and captions is consistent throughout the paper. Use the same font, size, and style for all figures in the paper.
• Reference figures in the text : When referring to a figure in the text, use the figure number and label. For example, “As shown in Figure 1, the results indicate that…”

Figure 1. Distribution of survey responses

In this example, “Figure 1” is the figure number, and “Distribution of survey responses” is a brief title or description of the figure.

The label should be placed at the top of the figure and should be centered. It should be clear and easy to read. It’s important to use a consistent format for all figures in the paper to make it easier for readers to follow.

Examples of Figures in Research Paper

Examples of Figures in Research Papers or Thesis are as follows:

Line graphs Example

Bar graphs Example

Pie charts Example

Scatterplots Example

Tables Example

Photographs or images Example

Diagrams or schematics Example

Purpose of Figures in Research Paper

Some common purposes of figures in research papers are:

• To summarize data: Figures can be used to present data in a concise and easy-to-understand manner. For example, graphs can be used to show trends or patterns in data, while tables can be used to summarize numerical information.
• To support arguments : Figures can be used to support arguments made in the text of the research paper. For example, a figure showing the results of an experiment can help to demonstrate the validity of the conclusions drawn from the experiment.
• To illustrate concepts: Figures can be used to illustrate abstract or complex concepts that are difficult to explain in words. For example, diagrams or illustrations can be used to show the structure of a complex molecule or the workings of a machine.
• To enhance readability: Figures can make a research paper more engaging and easier to read. By breaking up long blocks of text, figures can help to make the paper more visually appealing and easier to understand.
• To provide context : Figures can be used to provide context for the research being presented. For example, a map or diagram can help to show the location or layout of a study site or experimental setup.
• To compare results : Figures can be used to compare results from different experiments or studies. This can help to highlight similarities or differences in the data and draw comparisons between different research findings.
• To show relationships : Figures can be used to show relationships between different variables or factors. For example, a scatter plot can be used to show the correlation between two variables, while a network diagram can be used to show how different elements are connected to each other.
• To present raw data: Figures can be used to present raw data in a way that is easier to understand. For example, a heat map can be used to show the distribution of data over a geographic region, while a histogram can be used to show the distribution of data within a single variable.

Advantages of Figures in Research Paper

Figures (such as charts, graphs, diagrams, and photographs) are an important component of research papers and offer several advantages, including:

• Enhancing clarity : Figures can help to visually communicate complex data or information in a clear and concise manner. They can help readers better understand the research and its findings.
• Saving space : Figures can often convey information more efficiently than text, allowing researchers to present more information in less space.
• Improving readability : Figures can break up large blocks of text and make a paper more visually appealing and easier to read.
• Supporting arguments: Figures can be used to support arguments made in the text and help to strengthen the overall message of the paper.
• Enabling comparisons: Figures can be used to compare different data points, which can be difficult to do with text alone. This can help readers to see patterns and relationships in the data more easily.
• Providing context : Figures can provide context for the research, such as showing the geographic location of study sites or providing a visual representation of the study population.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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How to clearly articulate results and construct tables and figures in a scientific paper?

The writing of the results section of a scientific paper is very important for the readers for clearly understanding of the study. This review summarizes the rules for writing the results section of a scientific paper and describes the use of tables and figures.

Introduction

Medical articles consist of review articles, case reports, and letters to the editor which are prepared with the intention of publishing in journals related to the medical discipline of the author. For an academician to be able to progress in carreer, and make his/her activities known in the academic environment, require preparation of the protocol of his/her academic research article, and acquiring sufficient information, and experience related to the composition of this article. In this review article, the information related to the writing of the ‘Results’ section, and use of tables, and figures will be presented to the attention of the readers.

Writing the ‘Results’ section

The ‘Results’ section is perhaps the most important part of a research article. In fact the authors will share the results of their research/study with their readers. Renown British biologist Thomas Henry Huxley (1825–1895) indicated his feelings as “The great tragedy of science: the slaying of a beautiful hypothesis by an ugly fact.” which emphasizes the importance of accurately, and impressively written results.

In essence results provide a response for the question” What is found in the research performed?”. Therefore, it is the most vital part of the article. As a priority, while drafting the ‘Results’ section of a manuscript one should not firstly write down methods in the ‘Material and Method’ section. The first sentence should give information about the number of patients who met the inclusion criteria, and thus enrolled in the study. [ 1 ] Besides information about the number of patients excluded from the study, and the reasons for exclusion is very important in that they will enlighten the readers, and reviewers who critically evaluate the manuscript, and also reflect the seriousness of the study. On the other hand, the results obtained should be recorded in chronological order, and without any comments. [ 2 ] In this section use of simple present tense is more appropriate. The findings should be expressed in brief, lucid, and explicable words. The writing style should not be boring for the reader. During writing process of a research article, a generally ill-conceived point is that positive, and significant findings are more important, attractive, and valuable, while negative, and insignificant findings are worthless, and less attractive. A scientific research is not performed to confirm a hypothesis, rather to test it. Not only positive, and significant results are worth writing, on the other hand negative or statistically insignificant result which support fallacy of a widely accepted opinion might be valuable. Therefore, all findings obtained during research should be inclıuded in the ‘Results’ section. [ 1 ]

While writing the ‘Results’ section, the sequence of results, tabulated data, and information which will be illustrated as figures should be definitively indicated. In indicating insignificant changes, do not use expressions as “decreased” or “increased”, these words should be reserved for significant changes. If results related to more than one parameter would be reported, it is appropriate to write the results under the subheading of its related parameter so as to facilitate reading, and comprehension of information. [ 2 ] Only data, and information concerning the study in question should be included in the ‘Results’ section. Results not mentioned in this section should not be included in the ‘Discussion’ and ‘Summary’ sections. Since the results obtained by the authors are cited in the ‘Results’ section, any reference should not be indicated in this section. [ 3 ]

In the ‘Results’ section, numerical expressions should be written in technically appropriate terms. The number of digits (1, 2 or 3 digits) to be written after a comma (in Turkish) or a point (in especially American English) should be determined The number of digits written after the punctuation marks should not be changed all throughout the text. Data should be expressed as mean/median ± standard deviation. Data as age, and scale scores should be indicated together with ranges of values. Absolute numerical value corresponding to a percentage must be also indicated. P values calculated in statistical analysis should be expressed in their absolute values. While writing p values of statistically significant data, instead of p<0.05 the actual level of significance should be recorded. If p value is smaller than 0.001, then it can be written as p <0.01. [ 2 ] While writing the ‘Results’ section, significant data which should be recalled by the readers must be indicated in the main text. It will be appropriate to indicate other demographic numerical details in tables or figures.

As an example elucidating the abovementioned topics a research paper written by the authors of this review article, and published in the Turkish Journal of Urology in the year 2007 (Türk Üroloji Dergisi 2007;33:18–23) is presented below:

“A total of 9 (56.2%) female, and 7 (43.8%) male patients with were included in this study. Mean age of all the patients was 44.3±13.8 (17–65) years, and mean dimensions of the adrenal mass was 4.5±3.4 (1–14) cm. Mean ages of the male, and female patients were 44.1 (30–65), and 42.4 (17–64) years, while mean diameters of adrenal masses were 3.2 (1–5), and 4.5 (1–14) cm (p age =0.963, p mass size =0.206). Surgical procedures were realized using transperitoneal approach through Chevron incision in 1 (6.2%), and retroperitoneal approach using flank incision with removal of the 11. rib in 15 (93.7%) patients. Right (n=6; 37.5%), and left (n=2; 12.5%) adrenalectomies were performed. Two (12.5%) patients underwent bilateral adrenalectomy in the same session because of clinical Cushing’s syndrome persisted despite transsphenoidal hipophysectomy. Mean operative time, and length of the hospital stay were 135 (65–190) min, and 3 (2–6) days, respectively. While resecting 11. rib during retroperitoneal adrenalectomy performed in 1 patient, pleura was perforated for nearly 1.5 cm. The perforated region was drained, and closed intraoperatively with 4/0 polyglyctan sutures. The patient did not develop postoperative pneumothorax. In none of the patients postoperative complications as pneumothorax, bleeding, prolonged drainage were seen. Results of histopathological analysis of the specimens retrieved at the end of the operation were summarized in Table 1 .” Table 1. Histopathological examination results of the patients Histopathological diagnosis Men n (%) Women n (%) Total n (%) Adrenal cortical adenoma 5 (31.3) 6 (37.6) 11 (68.8) Pheochromocytoma 1 (6.2) 1 (6.2) 2 (12.6) Ganglioneuroma 1 (6.2) - 1 (6.2) Myelolipoma - 1 (6.2) 1 (6.2) Adrenal carcinoma - 1 (6.2) 1 (6.2) Total 7 (43.7) 9 (56.2) 16 (100) Open in a separate window

Use of tables, and figures

To prevent the audience from getting bored while reading a scientific article, some of the data should be expressed in a visual format in graphics, and figures rather than crowded numerical values in the text. Peer-reviewers frequently look at tables, and figures. High quality tables, and figures increase the chance of acceptance of the manuscript for publication.

Number of tables in the manuscript should not exceed the number recommended by the editorial board of the journal. Data in the main text, and tables should not be repeated many times. Tables should be comprehensible, and a reader should be able to express an opinion about the results just at looking at the tables without reading the main text. Data included in tables should comply with those mentioned in the main text, and percentages in rows, and columns should be summed up accurately. Unit of each variable should be absolutely defined. Sampling size of each group should be absolutely indicated. Values should be expressed as values±standard error, range or 95% confidence interval. Tables should include precise p values, and level of significance as assessed with statistical analysis should be indicated in footnotes. [ 2 ] Use of abbreviations in tables should be avoided, if abbreviations are required they should be defined explicitly in the footnotes or legends of the tables. As a general rule, rows should be arranged as double-spaced Besides do not use pattern coloring for cells of rows, and columns. Values included in tables should be correctly approximated. [ 1 , 2 ]

As an example elucidating the abovementioned topics a research paper written by the authors of this review article, and published in the Turkish Journal of Urology in the year 2007 (Türk Üroloji Dergisi 2007;33:18–23).is shown in Table 1 .

Most of the readers priorly prefer to look at figures, and graphs rather than reading lots of pages. Selection of appropriate types of graphs for demonstration of data is a critical decision which requires artist’s meticulousness. As is the case with tables, graphs, and figures should also disploay information not provided in the text. Bar, line, and pie graphs, scatter plots, and histograms are some examples of graphs. In graphs, independent variables should be represented on the horizontal, and dependent variables on the vertical axis. Number of subjects in every subgroup should be indicated The labels on each axis should be easily understandable. [ 2 ] The label of the Y axis should be written vertically from bottom to top. The fundamental point in writing explanatory notes for graphs, and figures is to help the readers understand the contents of them without referring to the main text. Meanings of abbreviations, and acronyms used in the graphs, and figures should be provided in explanatory notes. In the explanatory notes striking data should be emphasized. Statistical tests used, levels of significance, sampling size, stains used for analyses, and magnification rate should be written in order to facilitate comprehension of the study procedures. [ 1 , 2 ]

Flow diagram can be utilized in the ‘Results’ section. This diagram facilitates comprehension of the results obtained at certain steps of monitorization during the research process. Flow diagram can be used either in the ‘Results’ or ‘Material and Method’ section. [ 2 , 3 ]

Histopathological analyses, surgical technique or radiological images which are considered to be more useful for the comprehension of the text by the readers can be visually displayed. Important findings should be marked on photos, and their definitions should be provided clearly in the explanatory legends. [ 1 ]

As an example elucidating the abovementioned issues, graphics, and flow diagram in the ‘Results’ section of a research paper written by the authors of this review article, and published in the World Journal of Urology in the year 2010 (World J Urol 2010;28:17–22.) are shown in Figures 1 , and ​ and2 2 .

a The mean SHIM scores of the groups before and after treatment. SHIM sexual health inventory for male. b The mean IPSS scores of the groups before and after treatment. IPSS international prostate symptom score

Flowchart showing patients’ progress during the study. SHIM sexual health inventory for male, IIEF international index of erectile function, IPSS international prostate symptom score, QoL quality of life, Q max maximum urinary flow rate. PRV post voiding residual urine volume

In conclusion, in line with the motto of the famous German physicist Albert Einstein (1879–1955). ‘If you are out to describe the truth, leave elegance to the tailor .’ results obtained in a scientific research article should be expressed accurately, and with a masterstroke of a tailor in compliance with certain rules which will ensure acceptability of the scientific manuscript by the editorial board of the journal, and also facilitate its intelligibility by the readers.

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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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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How to Use Tables and Figures effectively in Research Papers

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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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How to Make Good Figures for Scientific Papers

Creating good figures for scientific publications requires using design best practices to make each figure clearly show the main point of your data story.

This article reviews important design principles that will help you create effective figures. However, if you want step-by-step tutorials on how to create the scientific illustrations and Excel graphs using Adobe Illustrator and PowerPoint, read these articles instead:

• Free Graphical Abstract Templates and Tutorials
• Free Research Poster Templates and Tutorials  

Four Rules to Create High-Quality Figures

The best data visualizations for scientific papers use a combination of good design principles and storytelling that allows the audience to quickly understand the results of a scientific study. Below are four rules that will help you make effective research figures and save you time with the final journal formatting. There are also practical tips on how to find the purpose of your figure and how to apply design best practices to graphs, images, and tables. 

Rule 1: Clearly show the main purpose to your audience

For every graph or figure you create, the first step is to answer the question: what is the purpose of my data? Clearly defining the main purpose of your scientific design is essential so that you can create and format the data in ways that are easy to understand. 

The most common purposes for scientific publications are to explain a process or method, compare or contrast, show a change, or to establish a relationship. Each of these purposes should then lead you to select graph types. For example, if the goal of your figure is to explain a method, you will likely want to choose process-focused graph types such as flow charts, diagrams, infographics, illustrations, gantt charts, timelines, parallel sets, or Sankey diagrams. Below are examples of the most common graph types that you can use for different data purposes. Read more articles to learn how to choose the right data visualizations and data storytelling . 

Rule 2: Use composition to simplify the information

After you define the purpose of your graph or figure, the next step is to make sure you follow composition best practices that make the information clear. Composition best practices include following the journal rules and formatting from left to right, top to bottom, or in a circle. You should also review your designs to remove or adjust distracting data, lines, shadows, and repeated elements. Applying good composition means spending time reviewing your layout and simplifying the story using these techniques.

Data Composition Best Practices:

• Design flow should be left to right, top to bottom, or in a circle 
• Make sure most important data is the focus of the design
• Remove or adjust excess data and text
• Make text easy to read
• Reduce contrast of bold lines
• Remove repeated elements
• Remove shadows 

The example below shows how to design a figure that applies the composition best practices by taking an initial layout of a figure on the left and then use formatting to fill the space, simplify information, and reorder the data to more clearly show the main purpose of the research. 

Follow Science Journal Formatting Requirements:

In order to organize the graphs, charts, and figures, you will also need to know the requirements of the scientific journal. You will need to know the limits of the figure sizes, the maximum number of figures, as well as color, fonts, resolution, and file type requirements. You can find different journal requirements by going to the Journal’s homepage and then finding the link to the author’s guidelines from there. If you Google the journal’s formatting requirements, make sure you find the most up-to-date page.

For example, the academic journal Science allows a maximum of 6 figures and requires that they have a width of 55 mm (single column) or 230 mm (double column). In contrast, the journal Nature only allows 3-4 figures or tables with maximum widths of 89 mm (single column) and 183 mm (double column). If you planned to submit your scientific publication to Nature, you would need to carefully plan which graphs and tables will best tell your scientific story within only four figures.

Rule 3: Use colors or grayscale to highlight the purpose

Color is one of the most powerful data storytelling tools. When used properly, color enhances understanding of your graphs and when used poorly, it can be very distracting. 

Scientific Color Design Tips: 

• If possible, limit your design to 1-2 colors that make the main point of the data stand out from the rest
• Make colors accessible to people with color blindness

The example below shows a graph on the left that has a lot of information about graduation rates for bachelor’s degrees in 2019. The text is small and the color design makes it difficult to understand the main results of the data. One way to improve this figure is to use colors to highlight the main story of the data, which is that private for-profit institutions have a much higher drop-out rate than all other institutions. The figure on the right improves this design using the bold pink color and clearer text to highlight the main point of the dataset.

Rule 4: Refine and repeat until the story is clear

The goal of good figure design is to have your audience clearly understand the main point of your research. That is why the final rule is to spend time refining the figure using the purpose, composition, and color tools so that the final design is clear.

It is normal to make 2-3 versions of a figure before you settle on the final design that works best. I recommend using the three clarity checkpoints below to improve your refinement process. 

Design Clarity Checkpoints:

• Checkpoint 1. Does the figure show the overall story or main point when you hide the text? If not, improve the data visualization designs to more clearly show the main purpose.
• Checkpoint 2. Can you remove or adjust unnecessary elements that attract your attention? Remove repetitive elements, bounding boxes, background colors, extra lines, extra colors, repeated text, shadows/shading, either remove or adjust excess data, and consider moving information to supplementary figures.
• Checkpoint 3. Does the color palette enhance or distract from the story? Limit the use of color and pick a color palette that improves audience understanding of the main purpose of the figure. If the color doesn’t serve an obvious purpose, change to grayscale.

Scientific Figure Design Summary

For every scientific publication, follow the four rules of good scientific figure design to help you create effective graphics that engage and impress your audience:

• Clearly show the main purpose to your audience
• Use composition to simplify the information
• Use colors or grayscale to highlight the main points of the figure
• Refine and repeat the process until the story is clear

Related Content: 

• Best Color Palettes for Scientific Figures and Data Visualizations
• Graphical Abstract Examples with Free Templates
• Free Research Poster Templates and Tutorials
• BioRender Alternatives: Scientific Illustration Software Comparisons

Create professional science figures with illustration services or use the online courses and templates to quickly learn how to make your own designs.

Interested in free design templates and training.

Explore scientific illustration templates and courses by creating a Simplified Science Publishing Log In. Whether you are new to data visualization design or have some experience, these resources will improve your ability to use both basic and advanced design tools.

Interested in reading more articles on scientific design? Learn more below:

Scientific Presentation Guide: How to Create an Engaging Research Talk

Data Storytelling Techniques: How to Tell a Great Data Story in 4 Steps

Best Science PowerPoint Templates and Slide Design Examples

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Formatting Graphics and Visuals in APA Style

Statistics and results from data analysis are often best presented in the form of a table, and a theoretical model or pages of information are often best presented in a well-designed visual such as a chart or graph. The American Psychological Association (APA) distinguishes between two types of visuals: tables and figures. Both are used to provide a large amount of information concisely and to promote greater understanding of a text. This article explains how to format tables and figures according to APA Style 7th Edition.

Tables in APA Style (7th ed.)

Tables are organized in a row and column format and provide information that is not already given in the text. Tables should also be able to stand alone and be understandable without the accompanying text. Therefore, having a descriptive title for the table is important and so is using a “note” to explain any symbols, abbreviations, or asterisks used in the table.

When inserting a table in your work, include the following information (also exemplified by Table 1):

• Table number , aligned left, bolded, and presented in sequence: Table 1 , Table 2 , etc.
• Table title , aligned left, italicized, and offering a brief description the table: Title of Table
• The table itself , without shading or vertical borders; use horizontal boarders only for clarity such as a top and bottom border or to separate a row containing the sums of column data. Tables are double spaced unless one or one and a half spacing would enable the table to be displayed on a single page.
• Table note , double-spaced below the table, after the label “note” in italics: Note .

Use a callout such as “See Table 1” in the paragraph before the table to point the reader to it.

Table Notes

Table notes are only used when needed, and there can be up to three notes per table, ordered by type:

• General Note : General notes are given first. Table 1 in this article has a general note. General notes provide definitions, keys, and copyright statements for any information that came from a source.
• Specific Note : Specific notes provide information about individual columns or rows. If, for example, a specific column or cell’s data needed explanation, a superscript letter such as “a” would be placed by the data, e.g. Xa, and the same superscript letter would be placed before the note about it.
• Probability Note : Probability notes explain asterisks (*) or other symbols that provide probability values used in statistical hypothesis testing used for ruling out something occurring due to chance alone.
• In statistical testing, researchers use a probability level between 0 to 1 to describe the chance of an event occurring, with 0 meaning the event will never occur and 1 meaning the event will always occur. In a table or figure, probability levels are assigned asterisks to indicate a range in probability such as p < .05 and * p < .01, and ***p < .001 (APA, 2020). The fewest number of asterisks indicates the largest probability and the greatest number of asterisks indicates the smallest probability level.
• Plus (+) and minus (-) signs are also used in probability notes to show confidence intervals. For example, the results of an opinion poll may show 56% of the respondents prefer candidate A. If the confidence interval is +/-3, then 53%-59% of the population agrees with those sampled.
• Probability notes may also provide confidence levels to indicate how certain the researcher is that the general population will agree with the poll respondents. For example, if the confidence level is 95%, then there is a 95% certainty that 53% to 59% of the population agrees with those polled. Researchers typically use a 95% confidence level.

Example of a general note, specific note, and probability note:

Note . The poll revealed that respondents prefer candidate A. YA = ages 18-30. A = ages 31-43. Adapted from “Title of Article,” by A. Author, Copyright Year, Publication Title, vol(issue) page-page. (URL). Copyright year by Copyright holder or Copyright License or In the public domain.

Data are for all genders.

p < .05. * p < .01.

In the example above, the notes are to be double spaced as shown in Table 1, and each type of note begins on a new line with the first note providing general information about the table including a copyright note for the data used in the table. The second note gives specific information about the data in the rows, and the third note provides the probability (p) values.

Reference Entries for Table Data

A reference entry would also be included for any source of information used in the table and noted in the table note. The reference entry goes on a reference list at the end of the paper.

Table Checklist

• Is the table necessary?
• Is the table mentioned in the text?
• Is the table inserted under the paragraph where it is first mentioned?
• Is the title brief but explanatory and one double-spaced line below the table number?
• Are all vertical borders in the table eliminated?
• Does every column have a heading including?
• Are the notes in the following order: general note, specific note, probability note?
• Are the notes double spaced?
• Are all abbreviations, symbols, and special uses of dashes, italics, or boldface explained in a note?
• If the table is for statistical testing, are probability levels identified?
• If more than one table is used, are probability level asterisks consistent from table to table?
• With statistical testing data, are confidence intervals reported and consistent for all tables?
• If all or part of a copyrighted table is reproduced or adapted, does the general table note give full credit to the copyright owner and have a corresponding reference entry?

Figures in APA Style (7th ed.)

Figures include visuals such as charts graphs, pictures, maps, etc. When inserting a figure in your work, include the following information (also exemplified in Figure 1):

• Figure # , aligned left, bolded, and in sequence: Figure 1 , Figure 2 , etc.
• Figure title , aligned left, italicized, and offering a brief description the table: Figure Title
• The figure itself
• Figure note , double-spaced below the table after the label “note” in italics: Note .

Use a callout such as “See Figure 1” in the paragraph before the figure to point the reader to it.

The Chart tool in Microsoft Word and Microsoft PowerPoint provides options for various types of graphs and charts. With so many types to choose from, it’s important to carefully consider which type will best present the information. For example,

• a column chart displays categories of variables; • a bar chart demonstrates comparisons between single items; • a pie chart shows percentages; • a scatter plot illustrates correlations; and • a line graph demonstrates relationships.

The Microsoft Office Support webpage provides examples of these types of charts and more.

Figure Notes

As with tables, there can be up to three notes under the figure, ordered by type: (a) general information about the figure including a copyright statement for compiled data or images from the Internet, (b) specific information about individual sections, bars, graphs, or other elements of the figure, and (c)) probability explanations as discussed in the section on tables.

Copyright Statements for Compiled Data

When you use data and information in your table or figure that was compiled from research, the figure must contain a general note with a copyright statement identifying the copyright holder of that information. Because you are using this information for an academic purpose that is not for profit, you will not need to also acquire permission from the copyholder. It is considered “fair use” for students and scholars to use information that has been previously published if the information is attributed to the copyright holder with proper documentation.

Use the following copyright statement template in a note for data or information that came from a journal or book:

Journal : Note . From [or Adapted from] “Title of Article,” by A. A. Author, year, Journal Title, Volume (Issue), p. xx (DOI or URL). Copyright year by Name of Copyright Holder or In the public domain or Copyright License such as CC BY-NC .

Book : Note . From [or Adapted from] Title of Book (p. xx), by A. A. Author, year, Publisher (DOI or URL). Copyright year by Name of Copyright Holder or In the public domain or CC BY-NC .

Copyright Statements for Images

Images are different than compiled data. Depending on where the image is from, it may or may not require a copyright statement in a note under the image.

Copyrighted images : To use a copyrighted photograph, permission from the copyright holder is needed. It is an act of plagiarism to use a copyrighted image without permission.

Copyright statement template for copyrighted image that you have permission to use:

From [or Adapted from]. Title of Work [Photograph], by A. A. Author, year of publication, Site Name (URL). Copyright year by Name of Copyright holder. Reprinted or Adapted with permission.

Creative Commons licensed images : Photographs with Creative Commons licenses may be used without permission, but each type of Creative Commons license has different stipulations. You can read about each here: https://creativecommons.org/licenses/ . The licenses generally all require attribution to the source or creator of the image. (See Figure 2).

Copyright statement for Creative Commons image:

From [or Adapted from]. Title of Work [Photograph], by A. A. Author, year of publication, Site Name (URL). License such as CC BY-NC .

Photograph With a Creative Commons License for Reproduction With Attribution

Note . From Lilies After Rain [Photograph], by C. Cairns, 2015, Flicker. (https://flic.kr/p/vDHife) . CC BY 2.0 .

Public Domain images : Public domain works are not protected by copyright law or they have expired copyrights such as works published before January 1, 1924. In APA Style, works in the public domain are credited in a copyright statement in the note. (See Figure 3).

Copyright statement for image in the public domain:

From [or Adapted from]. Title of Work [Photograph], by A. A. Author, year of publication, Site Name (URL). In the public domain.

Photograph in the Public Domain

Note . From Study for The Cellist [Photograph], by A. Modigliani, 1909, Abcgallery (http://www.abcgallery.com/M/modigliani/modigliani12.html) . In the public domain.

Free Photos Online: Some photo sites allow for reproduction of images without attribution to the source or creator of that image. Sites such as Pixabay , Pexels , and Unsplash , for example, provide images that do not require attribution. A copyright statement is not needed for these images.

Reference Entries for Figures

In addition to a copyright attribution, include a reference entry for any source credited in a figure note. Below is the APA Style (7th ed.) reference entry template for a photograph:

Author last name, First initial. Middle initial. (year). Title of photograph [Photograph]. Site or Source Name. URL

Figure Checklist

• Is the figure necessary?
• Is the resolution of the image clear enough to be read and understood?
• Is the figure mentioned in the paper’s text?
• Is the figure inserted under the paragraph where it is first mentioned?
• Does the text explain how the figure is relevant to the discussion in the paper without repeating all the information from the figure in the text?
• Does the figure title provide a brief explanation?
• Are all elements of the figure clearly labeled?
• Are all figures numbered consecutively?
• Is proper credit given to the source of the figure in the figure note?
• Has a reference entry been provided for the source of the figure?

American Psychological Association. (2020). Publication manual of the American Psychological Association: The official guide to APA style (7th ed.). https://doi.org/10.1037/0000165-000

© 2020 by Purdue Global Academic Success Center and Writing Center

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What size should the visual be in the actual paper? I have students ask this, and frequently their visuals cover half an entire page, but I cannot find the answer.

Hi Leslie, the American Psychological Association (APA) does not specify the size of visuals used, but does state that tables and figures should fit on one page. The publication manual of APA (2020) also states that tables and figures “should not be used for mere decoration in an academic paper. Instead, every table and figure should serve a purpose” (p. 195). It may be helpful to direct students with questions to review the sample tables and figures available here: https://apastyle.apa.org/style-grammar-guidelines/tables-figures

I”ve learned a lot from reading this.. I have never an apa paper before

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• Determine the best way to graph your data

Graphs are visual representations of data and information that can help you interpret and analyze complex concepts more easily.  

The type of graph you include in a paper, poster or presentation will depend on what concepts, relationships or results you are hoping to share with your audience.  

Show trends and changes over time 

Use a line graph to illustrate how data changes over time. This will highlight interesting trends or cycles in the information.  

Example: If you're studying how temperatures change throughout the year, a line graph would be ideal for illustrating this pattern.   

Show or make comparisons  

Use bar graphs for comparing different categories or groups. This will highlight how categories or groups are similar or different from each other.  

Example: If you want to compare the sales of different products, a bar graph can help you visualize the differences in sales numbers.  

Identify parts of a whole 

Use pie charts when you want to display parts of a whole and how each part contributes to the whole.  

Example: If you're analyzing the distribution of expenses in a budget, a pie chart can show the percentage of each expense category relative to the total budget.   

Present correlations  

Use scatterplots to visualize relationships between variables.

Example: If you're investigating the relationship between study hours and exam scores, a scatterplot can help you see if there's a correlation between the two variables.   

Show process and connections 

Use diagrams , such as flowcharts and Venn diagrams, to illustrate processes or relationships. 

Examples: A flowchart can depict the steps in a scientific experiment. A Venn diagram can show the overlap between different sets of data.

To get more comfortable with using graphs and diagrams you can practice reading and reviewing existing examples. Set aside time to review textbooks, online tutorials or interactive exercises.   You can also review strategies for reading graphs and diagrams . 

Speak to your instructors and TAs to get support building your skills with graphs and diagrams. You can also book an appointment with a Peer Success Coach to help you build this skill. 

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• A beginner's guide to successful labs
• A beginner's guide to note-taking
• 5 steps to get the most out of your next reading

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Writing-Related Software Tutorials

How to Write Figure Captions for Graphs, Charts, Photos, Drawings, and Maps

By Erin Wright

Figures are visuals such as charts, graphs, photos, drawings, and maps. Figures are normally identified by the capitalized word Figure and a number followed by a caption. A caption is a short block of text that gives information about the figure. The following seven tips explain how to write figure captions in your book, article, or research paper.

Although closely related, tables aren’t considered figures. See “ How to Write Table Titles ” for more information.

These tips are general guidelines based on our primary style guides . Each style guide has its own caption format (e.g., line spacing , margins, fonts). Therefore, you should consult your designated guide for specific recommendations, as necessary.

Seven Tips for Writing Figure Captions

Figure 1 and figure 2, located at the bottom of this post, demonstrate the guidelines explained in these tips.

1. Use captions instead of titles.

Figures in traditionally published books and scholarly writing usually have captions instead of titles. 2

However, some journals use titles and captions for figures. 3 Before submitting an article to a specific journal, always check its formatting requirements.

2. Place captions under figures.

Captions typically appear under figures. 4 Sometimes captions appear beside or even above figures; however, the decision to place captions in uncommon locations is normally made by the layout designer or production editor, not by the writer or copy editor. 5

Style Guide Alert: Written Music

The MLA Handbook (MLA style) and the Chicago Manual of Style (Chicago style) use the word Example rather than Figure to identify samples of written music in text. In addition, Chicago style places captions above written music instead of below, while MLA style keeps captions under written music. 6

Note that the academic version of Chicago style, Turabian, also recommends placing captions above written music but uses Figure instead of Example . 7

If you have music samples labeled as Example in addition to other figures, the music samples should be numbered separately from the figures (e.g., Example 1, Figure 1, Example 2, Figure 2).

3. Use a period after figure numbers.

Figures can be identified with regular numbers:

They can also be identified by double numbering in which the first number identifies the chapter and the second number identifies the figure:

Figure 7.10. (the tenth figure in chapter 7)

Figure 7.11. (the eleventh figure in chapter 7)

Figure 7.12. (the twelfth figure in chapter 7)

Whether you are using regular numbers or double numbering, use a period after the figure number to separate it from the caption text. 8

You may occasionally see the period omitted in favor of bold font combined with extra space before the caption text. 9 Like placing captions in uncommon locations, this decision is usually made by a layout designer or production editor rather than the writer or copy editor.

4. Use sentence-style capitalization.

Captions should feature sentence-style capitalization rather than headline-style capitalization . 10 This recommendation applies to complete sentences and to phrases and sentence fragments.

5. End captions with a period … most of the time.

Two of our primary style guides, the Publication Manual of the American Psychological Association (APA style) and the MLA Handbook (MLA style) use periods at the end of all captions even if they are incomplete sentences. 12

One of our other primary style guides, The Chicago Manual of Style (along with its academic version, Turabian) says that periods can be omitted if your captions are all phrases or sentence fragments. But, if your captions consist of complete sentences mixed with phrases and sentence fragments, always use periods. 13

6. Include a variety of information (if necessary).

A caption should briefly describe the figure. You can also include additional information such as copyright statements, source citations, definitions of symbols, and explanations of units of measurement. 14

There’s no official guideline for how long a caption can be. But, keep your readers in mind when writing captions because long blocks of unbroken text can be difficult to read (and therefore easy to ignore). If you think your caption is too long, consider other ways to present the necessary information, including the use of legends, labels, and keys within the figure itself.

7. Reference all figures in your text.

Each figure should be referenced in a sentence in your text, preferably before the figure appears in the document. The purpose of in-text references is to show your readers how figures connect to the content they are reading.

See “ How to Reference Figures and Tables in Sentences ” for examples and information relative to specific style guides.

The captions attached to figure 1 and figure 2, below, are examples based on the seven tips explained above.

Figure 1. Above left , Bartholomew; above right , Peabody; below left , Mr. Heckle; below right , Mr. Jeckle. Photography by Erin Wright.

Figure 2. Study participants’ favorite activities rated by occurrences per day. Reproduced by permission from Erin Wright, The Pets Are Running the Show (Whiting, IN: Fake Press, 2019), 57.

Related Resources

Three Ways to Insert Tables in Microsoft Word

How to Create and Customize Charts in Microsoft Word

How to Insert Figure Captions and Table Titles in Microsoft Word

How to Change the Style of Table Titles and Figure Captions in Microsoft Word

How to Update Table and Figure Numbers in Microsoft Word

How to Create and Update a List of Tables or Figures in Microsoft Word

How to Cross-Reference Tables and Figures in Microsoft Word

• Publication Manual of the American Psychological Association , 7th ed. (Washington, DC: American Psychological Association, 2020), 7.23–7.25.
• Publication Manual of the American Psychological Association , 6th ed. (Washington, DC: American Psychological Association, 2010), 5.23.
• AMA Manual of Style , 10th ed. (Oxford: Oxford University Press, 2007), 4.2.7.
• The Chicago Manual of Style , 17th ed. (Chicago: University of Chicago Press, 2017), 3.21. Publication Manual of the American Psychological Association , 5.23; “ Tables and Illustrations ,” Formatting a Research Paper, The MLA Style Center, accessed September 9, 2019; Kate L. Turabian, A Manual for Writers of Research Papers, Theses, and Dissertations , 9th ed. (Chicago: University of Chicago Press, 2018), 26.3.2.
• “ Headlines and Titles of Works ,” Style Q&A, The Chicago Manual of Style Online, accessed September 10, 2019.
• The Chicago Manual of Style , 3.5. “ Tables and Illustrations ,” The MLA Style Center.
• Turabian, A Manual for Writers of Research Papers, Theses, and Dissertations , 26.3.2.
• The Chicago Manual of Style , 3.23; Publication Manual of the American Psychological Association , 5.23; “ Tables and Illustrations ,” The MLA Style Center; Turabian, A Manual for Writers of Research Papers, Theses, and Dissertations , 26.3.2.
• The Chicago Manual of Style , 3.23.
• “ Tables and Illustrations ,” The MLA Style Center.
• The Chicago Manual of Style , 3.21; Publication Manual of the American Psychological Association , 5.23; Turabian, A Manual for Writers of Research Paper, Theses, and Dissertations , 26.3.3.2.
• Publication Manual of the American Psychological Association , 5.23; “ Tables and Illustrations ,” The MLA Style Center.
• The Chicago Manual of Style , 3.21; Turabian, A Manual for Writers of Research Papers, Theses, and Dissertations , 26.3.3.1.
• The Chicago Manual of Style , 3.25; Publication Manual of the American Psychological Association , 5.23; Turabian, A Manual for Writers of Research Papers, Theses, and Dissertations , 26.3.3.2
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Including Maps, Graphs, and Illustrations in a Paper

Maps, graphs, and illustrations.

All maps, images, and graphs should be uniquely and sequentially referenced with figure numbers. Each figure reference should appear in the text as Figure 1, Figure 2, and so forth according to the number of figures you use. The location of a specific figure should follow the first mention of the figure in the text. You do not need to break a paragraph in order to place a figure. Simply place the figure at the end of the paragraph where that figure is first mentioned. Each figure should have a short caption that briefly explains the important information about what is being illustrated. The figure caption should be positioned below the figure.

Discussing Maps, Graphs, and Other Illustrations in a Paper

You probably spent hours creating your figures. Thus, you have an intimate knowledge of the details of what each one shows. Unfortunately, your reader does not share this same intimacy. Therefore, you must make clear to the reader the important information, patterns, or trends that they should see. To be clear, start your discussion with a general overview of each figure. For example, "Figure 5 shows a prototype interface for the bicycle accident recording app." Once that general overview is presented, you can move on to discuss some of the relevant details. Below are two examples of figures and their captions.

Here is an appropriate example discussion :

Figure 1.03 shows an example of a story map that was created for locating notable features of Palm Springs, California, as a website (a) (Esri, 2013) and app (b) (Esri, 2015). The interface of this story map would be a good starting place for a more robust mobile reporting app. If there are instances reported on the app by other trail users, anyone else opening the site would be alerted to these notations from a map similar to this based on their current GPS location. The trail user could then use a form to either add his/her own suggestion or corroborate an existing notation. However, would the trail users be comfortable with a more sophisticated solution such as this, or would a simpler form be necessary? This would ultimately be solved in meetings between trail users, organizations, and database managers, and the prototype testing that would follow.

Note that there are really two figures shown: a and b. If this is the case, then you must not only make clear to the reader that there are two figures being shown, but you must also label and discuss each figure separately.

Note that in addition to a brief explanation of each image, the image source is provided as well as a disclaimer that the images are used solely for educational purposes.

Here is a discussion of an illustration shown in Figure 1.04:

When a pipeline is designed, constructed and mapped, the same information will go through several departments. In the existing workflow, see Figure 1.04, Engineering designs pipelines, and Pipeline Drafting draws pipelines in Microstation. The Construction builds the pipelines, which may not match the original Engineering design. Afterward, Survey staff record as-built pipelines by marking up the design drawing on paper and draft in AutoCAD. A finalized as-built drawing will be created by Pipeline Drafting. Finally, Mapping brings the pipelines from Microstation to ArcSDE database. The same pipeline information is created by several departments in different formats and saved at different locations. Clearly, the duplication of effort and data redundancy has contributed to the inefficient workflow.

The following table shows what to avoid when discussing maps, graphs, and other illustrations in a paper.

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How to Cite a Graph in a Paper

Last Updated: March 18, 2024 Fact Checked

This article was co-authored by Megan Morgan, PhD . Megan Morgan is a Graduate Program Academic Advisor in the School of Public & International Affairs at the University of Georgia. She earned her PhD in English from the University of Georgia in 2015. There are 14 references cited in this article, which can be found at the bottom of the page. This article has been fact-checked, ensuring the accuracy of any cited facts and confirming the authority of its sources. This article has been viewed 298,784 times.

Sometimes you may find it useful to include a graph from another source when writing a research paper. This is acceptable if you give credit to the original source. To do so, you generally provide a citation under the graph. The form this citation takes depends upon the citation style used in your discipline. Modern Language Association (MLA) style is used by English scholars and many humanities disciplines, while authors working in psychology, the social sciences and hard sciences often use the standards of the American Psychological Association (APA). Other humanities specialists and social scientists, including historians, use the Chicago/Turabian style, and engineering-related fields utilize the standards of the Institute of Electrical and Electronics Engineers (IEEE). Consult your instructor before writing a paper to determine which citation style is required.

Citing a Graph in MLA Style

• For example, you might refer to a graph showing tomato consumption patterns this way: "Due to the increasing popularity of salsa and ketchup, tomato consumption in the US has risen sharply in recent years (see fig. 1)."

• Figures should be numbered in the order they appear; your first graph or other illustration is "Fig. 1," your second "Fig. 2," and so on.
• Do not italicize the word “Figure” or “Fig.” or the numeral.

• For example, “Fig. 1. Rise in tomato consumption in the US, 1970-2000...”

• “Fig. 1. Rise in tomato consumption in the US, 1970-2000. Graph from John Green...”

• You also italicize the title of a website, such as this: Graph from State Fact Sheets...

• “Fig. 1. Rise in tomato consumption in the US, 1970-2000. Graph from John Green, Growing Vegetables in Your Backyard', (Hot Springs: Lake Publishers, 2002).
• If the graph came from an online source, follow the MLA guidelines for citing an online source: give the website name, publisher, date of publication, media, date of access, and pagination (if any -- if not, type “n. pag.”).
• For example, if your graph came from the USDA website, your citation would look like this: “Fig. 1. Rise in tomato consumption in the US, 1970-2000. Graph from State Fact Sheets. USDA. 1 Jan 2015. Web. 4 Feb. 2015. n. pag.”

• Fig. 1. Rise in tomato consumption in the US, 1970-2000. Graph from John Green, Growing Vegetables in Your Garden , (Hot Springs: Lake Publishers, 2002), 43. Print." [6] X Research source
• If you give the complete citation information in the caption, you do not need to also include it in your Works Cited page.

Citing a Graph in APA Format

• For example, you could write: “As seen in Figure 1, tomato consumption has risen sharply in the past three decades.”

• Figures should be numbered in the order they appear; your first graph or other illustration is Figure 1 , the second is Figure 2 , etc.
• If the graph has an existing title, give it in “sentence case.” This means you only capitalize the first letter of the first word in the sentence, as well as the first letter after a colon.

• For example: Figure 1. Rise in tomato consumption,1970-2000.
• Use sentence case for the description too.

• If the graph you’re presenting is your original work, meaning you collected all the data and compiled it yourself, you don’t need this phrase.
• For example: Figure 1. Rise in tomato consumption,1970-2000. Reprinted from...

• For example: Figure 1. Rise in tomato consumption,1970-2000. Reprinted from Growing Vegetables in Your Backyard (p. 43),

• For example: Figure 1. Rise in tomato consumption,1970-2000. Reprinted from Growing Vegetables in Your Backyard (p. 43), by J. Green, 2002, Hot Springs: Lake Publishers.

• Figure 1. Rise in tomato consumption, 1970-2000. Reprinted from Growing Vegetables in Your Backyard (p. 43), by J. Green, 2002, Hot Springs: Lake Publishers. Copyright 2002 by the American Tomato Growers' Association. Reprinted with permission. [13] X Research source

Citing a Graph Using Chicago/Turabian Standards

• For example, “Fig. 1. Rise in tomato consumption..."

• Fig. 1. Rise in tomato consumption (Graph by American Tomato Growers' Association. In Growing Vegetables in Your Backyard . John Green. Hot Springs: Lake Publishers, 2002, 43). [18] X Research source

Citing a Graph in IEEE Format

• If this marks the first time you've used this source, assign it a new number.
• If you've already used this source, refer back to the original source number.
• In our example, let's say this is the fifth source used in your paper. Your citation, then, will begin with a bracket and then "5": "[5..."

• TOMATO CONSUMPTION FIGURES [5, p. 43].
• Be sure to list complete source information in your endnotes. [21] X Research source

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• ↑ https://owl.purdue.edu/owl/research_and_citation/mla_style/mla_formatting_and_style_guide/mla_tables_figures_and_examples.html
• ↑ https://research.moreheadstate.edu/c.php?g=610039&p=4234946
• ↑ https://otis.libguides.com/mla_citations/images
• ↑ https://owl.english.purdue.edu/owl/resource/747/14/
• ↑ https://aut.ac.nz.libguides.com/APA7th/figures
• ↑ https://www.lib.sfu.ca/help/cite-write/citation-style-guides/apa/tables-figures
• ↑ https://guides.himmelfarb.gwu.edu/c.php?g=27779&p=170358
• ↑ https://graduate.asu.edu/sites/default/files/chicago-quick-reference.pdf
• ↑ https://guides.unitec.ac.nz/chicagoreferencing/images
• ↑ https://owl.purdue.edu/owl/research_and_citation/chicago_manual_17th_edition/cmos_formatting_and_style_guide/general_format.html
• ↑ https://libguides.dickinson.edu/c.php?g=56073&p=360111
• ↑ https://guides.lib.monash.edu/c.php?g=219786&p=6610144
• ↑ https://owl.purdue.edu/owl/research_and_citation/ieee_style/tables_figures_and_equations.html
• ↑ https://www.york.ac.uk/integrity/ieee.html

About This Article

To cite a graph in MLA style, refer to the graph in the text as Figure 1 in parentheses, and place a caption under the graph that says "Figure 1." Then, include a short description, such as the title of the graph, and list the authors first and last name, as well as the publication name, with the location, publisher, and year in parentheses. Finish the citation with the page number and resource format, which might be print or digital. If you want to cite a graph in APA, Chicago, or IEEE format, scroll down for tips from our academic reviewer. Did this summary help you? Yes No

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Essential Rules for Academic Writing: A Beginner’s Guide

Unlock the key rules for academic writing: from structure to citations. Master scholarly communication with expert insights.

Mastering the art of academic writing is a fundamental skill that empowers students and researchers to express their ideas, convey complex concepts, and contribute meaningfully to their respective fields. However, for beginners venturing into the realm of scholarly writing, navigating the intricacies of this formal discourse can be a daunting task.

“Essential Rules for Academic Writing: A Beginner’s Guide” serves as a beacon of guidance, illuminating the path for aspiring scholars as they embark on their academic journey. This comprehensive article offers invaluable insights into the fundamental principles and key rules that underpin successful academic writing, providing a strong foundation for those new to the craft.

What Is Academic Writing?

Academic writing refers to a formal style of writing that is prevalent in academic settings such as universities, research institutions, and scholarly publications. It is a mode of communication used by students, researchers, and scholars to convey their ideas, present research findings, and engage in intellectual discourse within their respective fields of study.

Related article: 11 Best Grammar Checker Tools For Academic Writing

Unlike other forms of writing, academic writing adheres to specific conventions and standards that prioritize clarity, precision, objectivity, and critical thinking. It is characterized by a rigorous approach to presenting arguments, supporting claims with evidence, and adhering to the principles of logic and reasoning.

Academic writing encompasses a wide range of genres, including essays, research papers, literature reviews, theses, dissertations, conference papers, and journal articles. Regardless of the specific genre, academic writing typically follows a structured format, includes proper citation and referencing, and adheres to established academic style guides such as APA (American Psychological Association) or MLA (Modern Language Association).

Types Of Academic Writing

Here’s a table summarizing the different types of academic writing, along with their definitions, purposes and typical structures:

Also read: Words To Use In Essays: Amplifying Your Academic Writing

General Rules For Academic Writing

Here are some general rules for academic writing: by adhering to these general guidelines, you can enhance the clarity, effectiveness, and professionalism of your academic writing, ensuring that your ideas are communicated with precision and impact.

Clarity and Precision

Academic writing demands clarity and precision in the expression of ideas. Use clear and concise language to communicate your thoughts effectively. Avoid ambiguous or vague statements, and strive for a logical flow of ideas within your writing.

Audience Awareness

Consider your intended audience when writing academically. Be aware of their background knowledge and familiarity with the topic. Adapt your writing style and level of technicality accordingly, ensuring that your content is accessible and understandable to your readers.

Use Formal Language

Academic writing requires a formal tone and language. Avoid colloquialisms, slang, and overly informal expressions. Instead, employ a vocabulary appropriate to the academic context, using specialized terms when necessary.

Structure and Organization

Structure your writing in a logical and coherent manner. Use clear headings, subheadings, and paragraphs to guide the reader through your work. Ensure that your ideas are well-organized and presented in a cohesive manner, with each paragraph or section contributing to the overall argument or discussion.

Evidence-Based Reasoning

Support your arguments and claims with credible evidence. Reference authoritative sources and cite them appropriately to establish the foundation for your ideas. Use empirical data, scholarly research, and reputable references to strengthen the validity and reliability of your work.

Critical Thinking

Academic writing encourages critical thinking and analysis. Engage with the existing literature, identify strengths and weaknesses in the arguments, and develop your own well-reasoned perspective. Challenge assumptions, evaluate alternative viewpoints, and provide well-supported arguments.

Proper Referencing and Citation

Maintain academic integrity by properly referencing and citing all sources used in your writing. Follow the specific citation style required by your academic institution or field, such as APA , MLA , or Chicago style . Accurate referencing gives credit to the original authors, allows readers to verify your sources, and demonstrates your commitment to scholarly integrity.

Revision and Proofreading

Academic writing involves a process of revision and proofreading. Review your work for clarity, coherence, grammar, and spelling errors. Ensure that your writing is free from typographical mistakes and inconsistencies. Seek feedback from peers, instructors, or writing centers to enhance the quality of your work.

Also read: What Is Proofreading And How To Harness Its Benefits?

How To Improve The Academic Writing

To enhance your academic writing skills, it is crucial to engage in regular practice and give careful consideration to various aspects. Here are some essential focal points to pay attention to in order to improve your academic writing:

Punctuation

• Proper use of commas, periods, question marks, and exclamation marks to enhance clarity and meaning in sentences.
• Effective use of semicolons and colons to join related independent clauses and introduce lists or explanations.
• Understanding the role of dashes and hyphens to indicate interruptions or join words in compound adjectives.

Capitalization

• Capitalize proper nouns, including names of people, places, institutions, and specific titles or terms.
• Follow capitalization rules for titles, capitalizing the first and last words, as well as major words within the title.
• Ensure consistency in capitalization within headings and subheadings.

Grammar and Sentence Structure

• Ensure subject-verb agreement, ensuring that the subject and verb agree in number and person.
• Use proper tenses and maintain consistency in verb tense usage within a paragraph or section.
• Write clear and unambiguous sentences, avoiding run-on sentences, fragments, or unclear pronoun references.

Academic Conventions

• Apply appropriate formatting and font style as per the guidelines of the specific academic institution or style guide.
• Use headings and subheadings correctly, following a consistent hierarchy and formatting style.
• Use abbreviations appropriately and consistently, following the accepted conventions in the field.
• Adhere to specific guidelines for tables, figures, and graphs, including proper numbering, labeling, and citation.

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Jessica Abbadia is a lawyer that has been working in Digital Marketing since 2020, improving organic performance for apps and websites in various regions through ASO and SEO. Currently developing scientific and intellectual knowledge for the community's benefit. Jessica is an animal rights activist who enjoys reading and drinking strong coffee.

Content tags

A modern way to teach and practice manual therapy

Affiliations.

• 1 School of Health Sciences, Queens Medical Centre, University of Nottingham, Nottingham, NG7 2HA, UK.
• 2 Allied Health Research Unit, University of Central Lancashire, Preston, PR1 2HE, UK. [email protected].
• 3 Centre of Precision Rehabilitation for Spinal Pain, School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
• 4 Nottingham CityCare Partnership, Bennerley Rd, Nottingham, NG6 8WR, UK.
• 5 School of Medicine, University of Nottingham, Queens Medical Centre, Nottingham, NG7 2HA, UK.
• 6 Department of Orthopaedics, West Herts Hospitals Trust, Watford, WD18 0HB, UK.
• 7 School of Physiotherapy, Manchester Metropolitan University, Manchester, M15 6GX, UK.
• 8 Department of Orthopaedics, Duke University, 200 Morris Street, Durham, NC, 27701, USA.
• 9 School of Sport and Health Sciences, University of Brighton, Darley Rd, Eastbourne, BN20 7UR, UK.
• 10 Clinical Neuroscience, Trafford Building, Brighton and Sussex Medical School, University of Sussex, Brighton, BN1 9PX, UK.
• 11 University College of Osteopathy, 275 Borough High St, London, SE1 1JE, UK.
• 12 Department of Clinical Sciences, Obstetrics and Gynecology, Umeå University, S-90187, Umeå, Sweden.
• 13 The School of Soft Tissue Therapy, Exmouth, Devon, EX8 1DQ, UK.
• 14 Department of health, LUNEX, Differdange, 4671, Luxembourg.
• 15 Luxembourg Health & Sport Sciences Research Institute A.s.b.l., 50, Avenue du Parc des Sports, Differdange, 4671, Luxembourg.
• 16 Department of Occupation and Health, School of Organization and Development, HAN University of Applied Sciences, Nijmegen, the Netherlands.
• PMID: 38773515
• PMCID: PMC11110311
• DOI: 10.1186/s12998-024-00537-0

Background: Musculoskeletal conditions are the leading contributor to global disability and health burden. Manual therapy (MT) interventions are commonly recommended in clinical guidelines and used in the management of musculoskeletal conditions. Traditional systems of manual therapy (TMT), including physiotherapy, osteopathy, chiropractic, and soft tissue therapy have been built on principles such as clinician-centred assessment, patho-anatomical reasoning, and technique specificity. These historical principles are not supported by current evidence. However, data from clinical trials support the clinical and cost effectiveness of manual therapy as an intervention for musculoskeletal conditions, when used as part of a package of care.

Purpose: The purpose of this paper is to propose a modern evidence-guided framework for the teaching and practice of MT which avoids reference to and reliance on the outdated principles of TMT. This framework is based on three fundamental humanistic dimensions common in all aspects of healthcare: safety, comfort, and efficiency. These practical elements are contextualised by positive communication, a collaborative context, and person-centred care. The framework facilitates best-practice, reasoning, and communication and is exemplified here with two case studies.

Methods: A literature review stimulated by a new method of teaching manual therapy, reflecting contemporary evidence, being trialled at a United Kingdom education institute. A group of experienced, internationally-based academics, clinicians, and researchers from across the spectrum of manual therapy was convened. Perspectives were elicited through reviews of contemporary literature and discussions in an iterative process. Public presentations were made to multidisciplinary groups and feedback was incorporated. Consensus was achieved through repeated discussion of relevant elements.

Conclusions: Manual therapy interventions should include both passive and active, person-empowering interventions such as exercise, education, and lifestyle adaptations. These should be delivered in a contextualised healing environment with a well-developed person-practitioner therapeutic alliance. Teaching manual therapy should follow this model.

Keywords: Chiropractic; Evidence-based healthcare; Manual Therapy; Osteopathy; Person-centred healthcare; Physiotherapy; Soft-tissue therapy.

© 2024. The Author(s).

Publication types

• Musculoskeletal Diseases / therapy
• Musculoskeletal Manipulations* / education
• Musculoskeletal Manipulations* / methods

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Computer Science > Artificial Intelligence

Title: increasing the llm accuracy for question answering: ontologies to the rescue.

Abstract: There is increasing evidence that question-answering (QA) systems with Large Language Models (LLMs), which employ a knowledge graph/semantic representation of an enterprise SQL database (i.e. Text-to-SPARQL), achieve higher accuracy compared to systems that answer questions directly on SQL databases (i.e. Text-to-SQL). Our previous benchmark research showed that by using a knowledge graph, the accuracy improved from 16% to 54%. The question remains: how can we further improve the accuracy and reduce the error rate? Building on the observations of our previous research where the inaccurate LLM-generated SPARQL queries followed incorrect paths, we present an approach that consists of 1) Ontology-based Query Check (OBQC): detects errors by leveraging the ontology of the knowledge graph to check if the LLM-generated SPARQL query matches the semantic of ontology and 2) LLM Repair: use the error explanations with an LLM to repair the SPARQL query. Using the chat with the data benchmark, our primary finding is that our approach increases the overall accuracy to 72% including an additional 8% of "I don't know" unknown results. Thus, the overall error rate is 20%. These results provide further evidence that investing knowledge graphs, namely the ontology, provides higher accuracy for LLM powered question answering systems.

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