江苏地区抖音平台羽绒服饰销售分析数据

通过平台调取品牌在江苏地区商品销售数据，可评估该地区不同羽绒服饰产品销售情况，并通过客户颜色偏好度、各尺寸占比数据判断，了解客户喜好和该区域客户群体尺寸的分布情况，为羽绒服装产业的企业优化营销计划，实现生产订单的合理安排和区域针对性前期铺货提供参考。
①数据收集：收集销售相关的数据，包括平台、颜色、尺码、季节、省、市、区、品类等。 数据处理：对数据进行清洗、删除重复数据，处理缺失值，识别和处理异常值，确保数据的准确性和一致性。 ②数据分析：对数据进行统计分析，统计江苏区域内某段时间内羽绒保暖服饰产品销售量的top6，然后通过字段“颜色”、“尺码”分别进行数据分析，对排名前6品类的颜色偏好度和尺寸比例分别进行统计，颜色偏好度=该品类该颜色订单量/该品类订单总量，尺寸比例=该品类该尺寸订单量/该品类订单数量。计算出该区域内客户群体偏向的品类、该品类顾客颜色的偏好和尺寸的选择比例。 ③数据应用：将分析结果应用到运营场景中，帮助羽绒行业企业更好了解该区域内客户的偏好和销售尺寸的选择，从而制定更精准的营销策略，指导羽绒行业企业合理安排生产和铺货。

This dataset retrieves brand commodity sales data in Jiangsu Province via the platform, which can be used to evaluate the sales performance of different down apparel products in this region. By analyzing customer color preference and size proportion data, we can understand customer preferences and the size distribution of local customer groups, providing reference for enterprises in the down apparel industry to optimize marketing plans, reasonably arrange production orders and carry out targeted regional pre-distribution.

① Data Collection: Collect sales-related data including platform, color, size, season, province, city, district, product category and other related fields.
Data Processing: Clean the collected data, remove duplicate entries, handle missing values, identify and process outliers to ensure data accuracy and consistency.

② Data Analysis: Conduct statistical analysis on the processed data. First, calculate the top 6 best-selling down thermal apparel products in Jiangsu Province within a specified time period. Then perform targeted analysis based on the "color" and "size" fields respectively, and count the color preference and size proportion for each of the top 6 product categories. Specifically, color preference is defined as the ratio of the order volume of a specific color for a given category to the total order volume of that category; size proportion is defined as the ratio of the order volume of a specific size for a given category to the total order volume of that category. Through the above analysis, we can identify the product categories favored by local customer groups, as well as their color preferences and size selection proportions for each category.

③ Data Application: Apply the analysis results to operational scenarios, helping down apparel enterprises better understand local customer preferences and size selection habits, so as to formulate more precise marketing strategies and guide enterprises to reasonably arrange production and distribution.