The CAT 2024 Slot 1 DILR section featured several case studies that highlighted the importance of data interpretation in analyzing Indian local products and markets. One particular case study focused on the sales performance of traditional Indian handicrafts across different regions.
Another question set analyzed the production and distribution patterns of Indian spices, requiring candidates to interpret complex data tables showing export figures, domestic consumption trends, and seasonal variations in pricing. The data sets included information about popular Indian products like turmeric, cardamom, and black pepper.
The section also contained questions about the manufacturing statistics of Indian textiles, including handloom products from various states. Candidates had to analyze data related to production volumes, export percentages, and market share comparisons between traditional Indian textiles and modern alternatives.
One challenging data interpretation set involved the agricultural output of Indian states, focusing on local crops like basmati rice, Alphonso mangoes, and Darjeeling tea. The questions required careful analysis of growth patterns, yield statistics, and regional distribution data. |
