Data visualisation has garnered attention due to its ability to communicate complex data making it an indispensable skill. It is an important tool in changing raw data into practical applications. If you are a person working in their field of science, or business management or are a part of academic research, Data visualisation can help you in making your data understandable, engaging and effective for your audience.
Let’s delve into an incident, An academic researcher is publishing his research findings using a large number of tables and raw data in their publication. This researcher is most likely to get their publication rejected as the data is confusing for the readers and they get lost while trying to connect the data with the researchers’ claims. Here, the role of data visualisation comes into play allowing the researchers to present their data in a storytelling manner that changes the boring data presentations into captivating and engaging content persuading the readers to engage and connect to the presentation.
Let’s dive into the concepts of data visualisation while exploring the techniques commonly employed in research presentations, the importance of these techniques in communicating research findings and popular tools of data visualisation that are currently in use.
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Importance of Data Visuals
Data visuals hold an immense power especially when complex data overloading is involved. The working of our brains also understand visual data better than raw data, numbers or tables. This demands the leveraging of this brain activity while communicating the research findings to obtain the long-lasting impact of research data during presentations. Vibrant charts, colourful canvas and attractive images- that’s what you remember when you try to think back about an engaging research presentation that you attended. As we all know, the research data is quite complicated and to provide them with an effective meaning demands the use of creative and engaging data visualisation.
The visualisation of data allows the researchers to enhance the impact of communicating the findings and present their results in an increasingly effective manner. Visualisation also allows the researchers to depict complex raw data that can be read and understood by the readers and audience at a glance. Such an impact is seen in different effective outcomes, previously in research. These outcomes include rapid and effective decision-making, identification of differences in data trends and providing access to real-time data to the businesses.
Data visualisation tools in research presentations
Suppose you are going to conduct the presentation of your Ph.D. research having a large audience in front of you, and you start seeing the public yawning and bored to tears. Sounds scary, right? Here this section can help you identify different options of data visualisation that can be used while creating research presentations, to keep your audience engaged.
- Pie Charts: These are among the most effective data visualisation tools to represent percentages. Here the full slice of pie represents 100% that is further divided into sections based on the percent contribution of each dataset. The difference can be depicted with different coloured sections in the pie charts. Since colours improve cognition and engagement among humans, pie charts are an effective tool in data visualisation.
- Bar Charts and Scattered Plots: Bar charts are also used to present research data where dependent variables are depicted on the x-axis and the independent variables on the y-axis. This allows the researchers to represent the correlation between the dataset to the audience. Bar charts are effective in representing large amounts of data in a single figure.
- Pictorial diagrams: This involves the representation of data using figures where colours and images are used to demonstrate complex concepts to the audience. Researchers can use this tool to depict complex mechanisms of reactions or experiments in their research, enhancing the engagement and comprehensibility of their findings.
- Maps: Maps can also be used by researchers to show the areas that are covered through their research. This can also allow the researchers to depict the areas under consideration in the vast scenario.
Using Effective Visuals in Research Presentations
Here, we provide effective tips that can be used by researchers to prepare a visually attractive research presentation. It is not wrong to say that creating visually attractive presentations is using art and science hand-in-hand. Although there is not a single universal formula, certain tips can be followed to create engaging research presentations.
- The first step here is obtaining clarity of the data. Here you need to skew the raw data, remove inconsistencies and organise the data. Now, review the data, Does it comply with the research goals? If yes, then move to the next step.
- The presenter should also focus on providing the context of the research to the audience. This helps them understand the purpose of the visualisations and the audience understands the significance
- Another key to effective visualisation of data in research is that the presenter should ensure that their approach is clear and simple. This means that the researchers should focus on creating a visually attractive presentation. This does not mean to clutter the slides with unnecessary decorations, as it can affect the purpose of data visualisations and can negatively impact the audience.
- Colour choice is also an important consideration. Select themes wisely, Colors should be corresponding to each other and should not mislead the audience. Different colors can be used to depict different datasets which can enhance comprehension. Considering colour-blind options can give you brownie points.
- Storytelling is an important tip for researchers to present complex and critical research data in a flow. This can help the audience go through the phases along with the researchers while they present their journey of obtaining their research findings. The flow of the presentation begins with an introduction, presenting the data, and concluding the findings which provides a narration-like experience to the audience.
These tips will definitely help the researchers in utilising data visualisation to communicate their message effectively. Data visualisation can help in creating engaging research presentations to create a long-lasting impression on the audience. Hence, with effective choices, data visualization can help the researchers in supporting their narrative and communicating it to the audience.
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