Diagrammatic representation of data - Presentation of Data, Business Mathematics & Statistics

# Diagrammatic representation of data - Presentation of Data, Business Mathematics & Statistics Video Lecture - Business Mathematics and Statistics - B Com

115 videos|142 docs

## FAQs on Diagrammatic representation of data - Presentation of Data, Business Mathematics & Statistics Video Lecture - Business Mathematics and Statistics - B Com

 1. What is a diagrammatic representation of data?
Ans. A diagrammatic representation of data is a graphical method used to present information or data visually. It involves the use of various types of charts, graphs, or diagrams to represent numerical data or relationships between different variables.
 2. Why is a diagrammatic representation of data important?
Ans. A diagrammatic representation of data is important because it allows for a quick and easy understanding of complex data. It helps to identify patterns, trends, and relationships in the data, making it easier for decision-makers to interpret and analyze the information effectively.
 3. What are some common types of diagrammatic representations of data?
Ans. Some common types of diagrammatic representations of data include bar charts, line graphs, pie charts, scatter plots, histograms, and pictograms. Each type of representation is suitable for different types of data and can provide insights into various aspects of the data.
 4. How do you choose the right type of diagrammatic representation for your data?
Ans. Choosing the right type of diagrammatic representation for your data depends on the nature of the data and the purpose of the analysis. For example, if you want to compare different categories or variables, a bar chart or a pie chart might be suitable. If you want to show the trend or change over time, a line graph would be appropriate.
 5. What are the advantages of using diagrammatic representation of data?
Ans. The advantages of using diagrammatic representation of data include easy visualization, clear communication of information, identification of patterns and trends, effective comparison of data, simplification of complex data, and enhanced decision-making. It helps to present data in a visually appealing and easily understandable format.

115 videos|142 docs

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