Numbers on a page rarely speak for themselves. A graph tracking global temperatures, a table comparing student test scores, a map of a university campus – these visuals pack enormous amounts of information into a compact space. But the moment you need to explain what they mean in writing, many students freeze. This process of converting visual or non-verbal data into clear, structured written text is called information transfer, and it is one of the most practical and widely tested writing skills in academic life. Mastering it helps you communicate data-driven ideas with precision – whether you are writing a science report, a geography assignment, or simply giving someone directions.
Table of Contents
- What is information transfer?
- Converting visual data to text: charts, graphs, and tables
- Understanding what each visual type does
- A step-by-step approach to writing from visual data
- Language for describing trends and comparisons
- Dealing with tables specifically
- Using descriptions: converting maps and spatial layouts to text
- How to write from a map
- Neighborhood and campus descriptions
- Academic applications: science and mathematics
- Science
- Mathematics
- Why this skill matters across disciplines
- Practical tips to improve your information transfer writing
What is information transfer?
At its core, information transfer is the process of converting data from one form – typically visual or non-verbal – into another form, usually written text. The reverse also applies: turning written descriptions into diagrams, tables, or flowcharts. Both directions require the same underlying skill – the ability to understand what information is being presented and then re-express it accurately and logically in a different medium.
The concept was formally introduced into English for Academic Purposes (EAP) teaching by linguist H.G. Widdowson in 1979, and it has been a fixture in academic writing instruction ever since. Research in EAP writing has traced its evolution from simple data description to more complex forms of critical commentary – showing just how foundational this skill is across levels of academic study.
The most common situations where you need to transfer information include:
- Describing a bar chart, line graph, or pie chart in a report
- Summarizing data presented in a table
- Converting a map or spatial layout into written directions
- Explaining a flowchart or process diagram in prose
Converting visual data to text: charts, graphs, and tables
Charts, graphs, and tables are among the most common ways data is presented in academic and professional settings. They allow large amounts of information to be shown in a compact format. However, as EAP writing resources consistently emphasize, whenever you include or reference such a visual in your writing, you must explain what the data means and why it is relevant. The visual alone is never enough.
Understanding what each visual type does
Before you write a single word, you need to understand what kind of visual you are working with and what it is designed to show. According to academic English resources from the University of Tokyo, different chart types serve distinct purposes: a line graph is best for showing change over time; a pie chart presents shares or proportions of a whole; a bar chart is useful for comparing quantities across categories; and a table is effective when the visual complexity of a graph would make the data harder to read. Knowing which type you are dealing with tells you what kind of language to use when writing about it.
A step-by-step approach to writing from visual data
The process of turning a visual into text follows a clear sequence. First, identify the subject and scope – what the visual is about, what variables are shown, and what time period or categories it covers. Second, identify the key features: the highest and lowest values, major trends, notable comparisons, or significant changes. Third, write an overview before going into detail. IELTS Academic Writing guidance from IDP recommends beginning with a general description of what the visual shows, then using two focused body paragraphs to describe and compare key features, and concluding with a brief summary of the main differences or changes.
The UNC Writing Center adds an important caution: your written description should explain the data, not simply repeat what the visual already makes obvious. If a trend is self-evident from the graph, your task is to articulate its significance – what it tells the reader about the subject – not just to list every number.
Language for describing trends and comparisons
Precise vocabulary is essential when writing from data. IELTS writing resources identify several categories of language that are especially useful here. For introducing a visual, phrases like “the graph illustrates,” “the table presents,” or “the chart compares” are standard. For describing change over time, you need verbs like increased, declined, peaked, fluctuated, and remained stable, as well as adverbs like sharply, gradually, and significantly. For comparisons, language of contrast and similarity – “whereas,” “in contrast,” “similarly,” “both” – helps structure the relationships between data points.
Consider a practical example. Suppose you are given a bar chart showing the percentage of students in different age groups who own a smartphone, from 2011 to 2016. A strong written summary would not describe every bar individually. Instead, it would open with what the chart shows overall, identify the standout trend (for instance, the steepest rise in ownership among older age groups), and support that with specific figures. The British Council’s LearnEnglish platform provides a clear model: note the general upward trend first, then zero in on the most significant changes with supporting percentages, and write in connected prose rather than a list of observations.
Dealing with tables specifically
Tables organize textual or numerical data into rows and columns. When writing from a table, information transfer guides recommend grouping the data into meaningful categories rather than going row by row. For example, if a table compares daily temperatures over a week, you could group the cooler early-week days together, note the mid-week peak, and then describe the drop at the end. This produces readable, analytical prose rather than a mechanical list of figures.
Using descriptions: converting maps and spatial layouts to text
Maps and spatial diagrams represent a different kind of information transfer. Instead of trends and quantities, you are working with location, direction, and spatial relationships. The goal is to produce written directions or descriptions that someone can follow without seeing the original map.
How to write from a map
The process starts with identifying the key landmarks or reference points – buildings, roads, intersections, or natural features – that will anchor your description. From there, the writing should guide the reader from one point to the next in a logical sequence, using clear directional language. Practical direction-writing favors terms like “turn left,” “continue straight,” “directly opposite,” and “at the end of” over compass directions like “head north” or “turn east,” unless the map specifically labels cardinal directions.
Take the layout of a university campus as an example. Rather than trying to describe every building at once, you would structure the description by area or by a logical walking route. You might write: “The main entrance opens onto Central Square. Directly ahead is the Library. To the left, following the path along the fountain, is the Student Services building. The Sciences block is located at the far end of the east wing, past the car park.” This kind of description gives the reader a mental walkthrough of the space, using landmarks as anchors and movement as structure.
Neighborhood and campus descriptions
The same principles apply when describing a neighborhood or any unfamiliar environment in writing. The key is to organize spatially – moving outward from a central point, or following a logical path – and to use consistent reference points throughout. Avoid switching randomly between different areas of the map; a reader who has never seen the space needs a coherent sequence to follow.
Academic applications: science and mathematics
Information transfer is not an isolated writing exercise – it appears throughout academic study, most prominently in the sciences and mathematics, where visual data is central to communicating findings.
Science
In science subjects, data from experiments is routinely presented in graphs, charts, and tables. A biology lab report might include a line graph showing bacterial growth over time; a physics report might use a scatter plot to show the relationship between two variables; a chemistry experiment might present results in a data table. In each case, the written report must include a clear, accurate description of what the data shows – not just a reference to the figure, but a genuine explanation of the key findings and what they mean for the experiment’s conclusions.
For instance, if a line graph from a chemistry experiment shows that the rate of a chemical reaction increases as temperature rises, the written summary would state: “The line graph indicates a positive correlation between temperature and the rate of reaction. As temperature increases from 20°C to 80°C, the reaction rate rises sharply, suggesting that higher thermal energy accelerates molecular activity.” This is information transfer in action – taking a visual trend and expressing it in analytical prose that explains not just what the data shows but what it implies.
Mathematics
In mathematics, information transfer often works in both directions. Students are asked to read a graph and describe the relationship it represents – for example, identifying whether a plotted function is linear or quadratic – and also to construct a graph from a written description or a table of values. Writing about mathematical data requires careful use of precise language: terms like constant rate, exponential growth, inversely proportional, and maximum value carry specific meanings that must be used correctly.
A table of values, for example, might show the relationship between the length of a side of a square and its area. A written description would need to identify that as one measurement doubles, the other quadruples – capturing the squared relationship in words rather than numbers. This kind of precise verbal articulation of a mathematical pattern is exactly what information transfer develops.
Why this skill matters across disciplines
The ability to move fluently between visual and written forms of information is not limited to science and mathematics. It appears in geography (describing maps and climate data), economics (interpreting trend graphs and comparative tables), and social sciences (writing about statistical findings from survey data). Research published by ERIC found that information transfer tasks can effectively teach a wide range of academic writing types – including process descriptions, comparison and contrast, and generalizing from numerical data – making it one of the most versatile tools in academic writing instruction.
The underlying reason this skill is so valuable is straightforward. Data on its own doesn’t communicate – people do. The work of writing from a graph, map, or table is the work of making sense of information and expressing that sense clearly to someone else. As writing researchers have noted, you can have the most comprehensive dataset in the world, but if your audience can’t follow your explanation of it, the data loses its value. Information transfer is how you bridge that gap.
Practical tips to improve your information transfer writing
A few focused habits make a significant difference when working on information transfer tasks:
- Study the visual before writing. Spend time understanding what the graph, table, or map is showing before you write a single word. Identify the type of visual, the subject matter, the range of data, and the key patterns.
- Prioritize, don’t list. You don’t need to mention every data point. Select the most significant trends, comparisons, or features and focus your writing on those.
- Write in connected prose. Avoid bullet-pointing your observations. The goal is cohesive, analytical writing, not a transcript of what you see.
- Use specific figures to support your points. Vague statements like “sales increased a lot” are weak. Anchor your description with exact data where possible: “sales rose by 40% between 2010 and 2015.”
- Check your tenses. If the data describes a completed period in the past, use past tense. If it describes a process or a general relationship, present tense is appropriate.
- Vary your vocabulary. Repeatedly writing “the graph shows” becomes monotonous. Use alternatives: illustrates, demonstrates, presents, reveals, indicates.
What do you think? When you look at a graph or a table, do you find it easier to understand the data visually or to express it in writing – and what does that gap tell you about how you process information? If you had to describe the layout of a place you know well entirely in words, with no map, what would be the hardest part to get right?
References
- https://teachers.institute/pedagogy-of-english/enhancing-writing-information-transfer-techniques/
- https://www.sciencedirect.com/science/article/abs/pii/S1060374323000553
- https://www.elanguages.ac.uk/los/eap/introduction_to_describing_graphs_and_tables.html
- https://www.he.u-tokyo.ac.jp/englishacademia/courses/EA002/course/module1/7.html
- https://ielts.idp.com/prepare/article-ielts-academic-writing-task-1-how-to-analyse-graphs
- https://writingcenter.unc.edu/tips-and-tools/figures-and-charts/
- https://ielts.idp.com/canada/prepare/article-writing-task-1-tables-graphs-charts
- https://learnenglish.britishcouncil.org/skills/writing/b1-writing/describing-charts
- https://www.successcds.net/learn-english/grammar/information-transfer-types-examples-exercises
- https://eric.ed.gov/?id=ED292100
- https://medium.com/writers-and/translating-data-into-words-writing-tips-for-research-analysts-ad65a6cf145f
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