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Comprehensive Retail Network Dataset of Bangladesh

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DataCite Commons2025-04-07 更新2025-04-16 收录
下载链接:
https://data.mendeley.com/datasets/mgzvngzng2/1
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资源简介:
This dataset offers a comprehensive view of a retail distribution network in Bangladesh, encompassing three interconnected aspects: product sales targets, product information, and shop demographics. The data is spread across three CSV files, each serving a distinct purpose: 1. product target for shop.csv contains sales targets for 18 different products across 613,656 unique shops, identified by a unique shop code. This file allows for analysis of product-specific sales goals at the individual shop level. 2. product info.csv provides detailed information about the products, including their SKU IDs, names, brands, types, pricing structures, and physical characteristics. This file offers insights into the product portfolio, including 5 brands, 9 product types, and various packaging options. 3. shop info.csv presents demographic and geographic information about each shop in the network. It includes data on shop location (down to latitude and longitude), administrative divisions (division, zila, upazila), shop categorization (type, style, importance), and operational details (visit frequency, organizer). Together, these files create a multi-dimensional picture of the retail landscape, enabling researchers to explore relationships between product characteristics, shop attributes, geographic location, and sales targets. This rich dataset provides a foundation for analyses ranging from market segmentation and product placement strategies to geospatial distribution patterns and supply chain optimization.

本数据集全面呈现孟加拉国零售分销网络的全貌,涵盖三大互联核心模块:产品销售目标、产品信息及门店属性数据。数据集以三个CSV文件分别存储,各承担独立功能: 1. 门店产品目标表(product target for shop.csv):包含613656家独立门店(以唯一门店编码标识)的18类不同产品的销售目标数据,支持开展单门店维度的分产品销售目标分析。 2. 产品信息表(product info.csv):收录产品详细信息,包括SKU编码、产品名称、品牌、品类、定价结构与物理属性。该数据集覆盖5个品牌、9类产品及多种包装规格,可用于剖析产品组合结构。 3. 门店信息表(shop info.csv):收录分销网络中各门店的地理与人口统计属性信息,具体包括门店位置(精确到纬度与经度)、行政分区(division、zila、upazila)、门店分类(类型、风格、重要等级)以及运营细节(到访频率、运营组织者)。 上述三个文件共同构建了零售业态的多维度全景,支持研究人员探索产品特征、门店属性、地理区位与销售目标之间的关联关系。本丰富数据集可为多类分析提供核心支撑,涵盖市场细分、产品铺货策略、地理空间分布模式分析乃至供应链优化等方向。
提供机构:
Mendeley Data
创建时间:
2025-04-07
搜集汇总
背景与挑战
背景概述
该数据集全面描绘了孟加拉国的零售分销网络,由产品销售目标、产品详细信息和店铺人口统计与地理信息三个相互关联的CSV文件组成。其核心特点是多维度与综合性,覆盖了超过61万家店铺、18种产品以及品牌、定价、地理位置等多类属性,为分析产品特性、店铺属性、地理位置与销售目标之间的关系提供了坚实基础,可用于市场细分、供应链优化等多种商业分析。
以上内容由遇见数据集搜集并总结生成
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