Presentation of Data

INTRODUCTION

In Economics, data collection and organisation are fundamental steps to analyse and understand economic phenomena. However, the data collected are often voluminous and complex, making it difficult to interpret and draw meaningful conclusions directly. Therefore, data must be presented in a compact, clear, and meaningful manner to facilitate comprehension and further analysis. This chapter focuses on the presentation of data, which is a crucial step after data collection and organisation. Presentation of data helps in summarising large amounts of information and making it accessible for decision-making and interpretation. There are three primary forms of data presentation: textual or descriptive presentation, tabular presentation, and diagrammatic presentation. Each form has its own advantages and is suitable for different types and volumes of data. Understanding these methods enables students to present economic data effectively and interpret data presented by others.

• Data presentation is essential to make voluminous data usable and comprehensible.
• Three main forms of data presentation: textual, tabular, and diagrammatic.
• Presentation helps in summarising and interpreting economic data.
• Effective presentation aids in decision-making and further statistical treatment.
• 📌 Data Presentation: The process of organising and summarising data to make it understandable.
• 📌 Textual Presentation: Describing data within narrative text.
• 📌 Tabular Presentation: Organising data in rows and columns.

TEXTUAL PRESENTATION OF DATA

Textual presentation involves describing data within the narrative text itself. This method is most suitable when the quantity of data is small and can be easily conveyed through words. It allows the presenter to emphasise certain points and provide context or interpretation alongside the data. However, a major drawback is that the reader has to go through the entire text to comprehend the data, which can be time-consuming and less effective for large datasets. The chapter provides two illustrative cases: one describing the status of petrol pumps and schools during a bandh in Bihar, and another summarising population statistics from the 2001 Census of India. These examples show how data can be woven into a narrative to highlight specific facts or trends. While textual presentation is limited in handling large volumes of data, it remains useful for small datasets or when detailed explanation is needed.

• Textual presentation describes data within narrative text.
• Suitable for small quantities of data.
• Allows emphasis on specific points or trends.
• Drawback: requires reading the entire text for comprehension.
• Not suitable for large or complex datasets.
• 📌 Textual Presentation: Data described in words within the text.
• 📌 Narrative Data: Data embedded in explanatory or descriptive text.