DATA ANALYSIS FOR INSTANT DELIVERY APPLICATIONS DATASET USING TABLEAU
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DATA ANALYSIS FOR INSTANT DELIVERY APPLICATIONS DATASET USING TABLEAU
Authors:
Chiluka Sravan, Pippalapalli Purushotham, Gattu Sridhar, Dr Diana Moses
UG Scholar, Department of AI&DS, Methodist College of Engineering and Technology, Hyderabad, India
Professor, Department of CSE, Methodist College of Engineering and Technology, Hyderabad, India
ABSTRACT - This dataset provides detailed information on instant delivery apps operating in various Indian cities. It includes key attributes such as app names, categories, user ratings, delivery time, discounts, shipping fees, payment methods, and customer satisfaction levels. The data helps explore trends in user behavior, app performance, and service efficiency. By analyzing this dataset, we aim to understand how factors like delivery speed, discounts, and digital payments influence customer satisfaction. The insights can support decision-making for app developers, marketers, and businesses in the fast-growing quick- commerce sector in India.
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