An Observational Study on Graphical Presentation of Data - A Review
Journal name: Ayushdhara
Original article title: An Observational Study on Graphical Presentation of Data - A Review
AYUSHDHARA is an international peer-reviewed journal. It focuses on research in Ayurveda, Yoga, Unani, Siddha, Homeopathy, Allopathy, and Pharmaceutical Sciences.
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Original source:
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Rajiv Bansal
Assistant Professor, Department of Dravyaguna, Sanjeevani Ayurvedic Medical College, Gajraula, Amroha, Uttar Pradesh, India
Satender Khatri
Assistant Professor, Department of Dravyaguna, Beehive Ayurvedic College, Dehradun, Uttarakhand, India
Ayushdhara:
(A peer-reviewed, bi-monthly open-access journal)
Full text available for: An Observational Study on Graphical Presentation of Data - A Review
Year: 2023 | Doi: 10.47070/ayushdhara.v10iSuppl3.1218
Copyright (license): CC BY-NC-SA 4.0
Download the PDF file of the original publication
Summary of article contents:
Introduction
The effectiveness of scientific communication significantly relies on graphical presentations of data, such as figures and charts, which can influence the acceptance of research findings. This study emphasizes the necessity for clarity in graphical representations, highlighting the importance of a low ink-to-data ratio and effective labeling of axes. Researchers are encouraged to utilize a variety of graphical tools, including histograms, bar charts, box-and-whisker plots, scatter plots, and forest plots, to convey their findings accurately and engagingly.
Importance of Graphical Representation
Graphical representation is fundamental in data analysis, particularly in the biological and medical sciences. It simplifies the process of presenting complex data sets and allows for quick visual assessments of data trends, relationships, and distributions. The article stresses that visual representation should precede formal statistical analysis, as graphs can reveal significant patterns that might warrant further examination. The ability to interpret graphs properly is critical in evidence-based practice, reinforcing the need for researchers to prioritize clarity and integrity when designing figures.
Types of Graphical Presentations
Various types of graphical presentations are suitable for different contexts and audiences. Line graphs are ideal for showing trends over time, while bar graphs and histograms allow for comparisons among categories or distributions of continuous data. Pie charts represent proportions of a whole, and scatter diagrams illustrate relationships between quantitative variables. The selection of an appropriate chart type hinges on the nature of the data and the intended message, which fosters effective communication of the underlying insights.
Conclusion
In conclusion, the study underscores the significant role of graphical data visualization in scientific research. It highlights the practicality and benefits of using graphs to communicate findings effectively, ultimately enhancing comprehension and analysis. Researchers are advised to consider their data carefully and select the appropriate graphical representation that accurately depicts the information, rather than conforming to software limitations. The quest for effective data presentation should prioritize clarity, accuracy, and the representation of complex data trends in a visual format that engages and informs the audience.
FAQ section (important questions/answers):
What are the key components of effective graphical data presentation?
Effective graphical data presentations include clear axes labeling, avoiding unnecessary clutter, and choosing the right type of graph, such as histograms, bar charts, and scatter plots. These ensure the data is easily interpretable for the audience.
What is the importance of graphs in scientific research?
Graphs play a crucial role in scientific research by summarizing key findings visually, which aids in understanding and analysis. They can significantly influence the acceptance of research during peer review by enhancing clarity and professionalism.
How should one choose the type of graph for data?
The choice of graph depends on the nature of the data, the number of variables, and the intended audience. Consider what insights you want to convey and select the visual that best represents your data effectively.
Glossary definitions and references:
Scientific and Ayurvedic Glossary list for “An Observational Study on Graphical Presentation of Data - A Review�. This list explains important keywords that occur in this article and links it to the glossary for a better understanding of that concept in the context of Ayurveda and other topics.
1) Science (Scientific):
The term 'scientific' is relevant in the context of this article as it refers to the process of using science-based methods, such as statistical analysis and graphical representation, to understand and communicate research findings effectively in fields like AYUSH and biostatistics.
2) Dravyaguna (Dravya-guna):
Dravyaguna refers to a branch of Ayurveda that deals with the properties, actions, and uses of medicinal plants and substances. Both authors, Rajiv Bansal and Satender Khatri, are noted to be assistant professors in this specific department.
3) Knowledge:
Knowledge in this article pertains to the dissemination of scientific findings through graphs and charts. These tools help in influencing decisions and drawing the scientific community's attention to specific research findings.
4) Khatri:
Satender Khatri is an author of the study and Assistant Professor in the Department of Dravyaguna at Beehive Ayurvedic College in Dehradun, Uttarakhand, India. His role is significant in contributing to the research on graphical data presentation.
5) Peer review:
Peer review is critical for scientific research, including graphical presentation of data, as it determines whether a study will be accepted or rejected based on quality and clarity, including the effective use of graphs in manuscripts.
6) Evolution:
In the context of graphical presentation, the term 'evolution' refers to the change over time of one or more sets of data, often depicted in graphs like line graphs to show trends.
7) Splitting:
Splitting in graphical data presentation refers to dividing data into parts for clarity and better understanding. For example, 'Box and Whisker Plot' splits data into four parts to show range and median.
8) Medicine:
Medicine is relevant in this study as the research focus includes biostatistics and analyzing data from biological science and medicine to draw meaningful conclusions using graphical tools.
9) Forest:
In the context of the article, a 'forest plot' is a graphical tool included in the researcher's toolkit, used for displaying results of multiple studies to assess the overall effect size.
10) India:
India is relevant as the article's authors, Rajiv Bansal and Satender Khatri, are associated with Ayurvedic colleges located in Uttar Pradesh and Uttarakhand, respectively.
11) Ayus (Ayush):
AYUSH is an acronym for traditional Indian systems of medicine including Ayurveda, Yoga, Unani, Siddha, and Homeopathy. The journal AYUSHDHARA publishes research in these areas.
12) Pir:
[see source text or glossary: Peer]
Other Science Concepts:
Discover the significance of concepts within the article: �An Observational Study on Graphical Presentation of Data - A Review�. Further sources in the context of Science might help you critically compare this page with similair documents:
Peer review, Research findings, Scientific knowledge, Statistical analysis, Data analysis, Quantitative Variable, Biostatistics, Qualitative variables, Graphical presentation, Scatter diagram, Scientific integrity, Data visualization, Pie chart.