香氛机优势型号识别数据
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根据香氛机在浙江地区的销售数据，分析基于水箱容量特征（如100ml、200ml、300ml 等）和续航时长特征（如8小时、12 小时、24 小时等）的各型号销售占比，识别出优势产品型号。该数据可为经销商、品牌商及渠道合作伙伴提供精准决策支持，帮助优化产品线布局、区域库存调配及场景化营销策略。1.数据收集和预处理：（1）数据收集：收集公司香氛机的销售数据，包括统计周期、产品名称、订单编号、销售区域、购买数量/个、水箱容量、续航时长。（2）数据预处理：对收集的原始数据进行清洗。 2.计算销售总量：利用SUM函数将历史采集的购买数量累加得到总销量。 3.基于水箱容量特征识别优势型号：（1）按水箱容量分组（如100ml、200ml、300ml 等），计算各水箱容量销售总量及占比。（2）比较各水箱容量销售占比，占比最高的为基于水箱容量的优势型号。 4.基于续航时长特征识别优势型号：（1）按续航时长分组（如8 小时、12 小时、24 小时等），计算各续航时长销售总量及占比。（2）比较各续航时长销售占比，占比最高的为基于续航时长的优势型号。
Based on the sales data of aroma diffusers in Zhejiang Province, this dataset analyzes the sales proportions of each product model based on two features: water tank capacity (e.g., 100ml, 200ml, 300ml, etc.) and operating duration (e.g., 8 hours, 12 hours, 24 hours, etc.), and identifies the dominant product models. This dataset can provide precise decision-making support for distributors, brand owners and channel partners, helping them optimize product line layout, regional inventory allocation and scenario-based marketing strategies. 1. Data Collection and Preprocessing (1) Data Collection: Collect the sales data of the company's aroma diffusers, including statistical cycle, product name, order number, sales region, purchase quantity, water tank capacity and operating duration. (2) Data Preprocessing: Clean the collected raw data. 2. Calculate Total Sales Volume: Use the SUM function to accumulate the historically collected purchase quantities to obtain the total sales volume. 3. Identify Dominant Models Based on Water Tank Capacity Feature (1) Group by water tank capacity (e.g., 100ml, 200ml, 300ml, etc.), calculate the total sales volume and sales proportion of each water tank capacity. (2) Compare the sales proportions of different water tank capacities, and the model with the highest proportion is the dominant one based on water tank capacity. 4. Identify Dominant Models Based on Operating Duration Feature (1) Group by operating duration (e.g., 8 hours, 12 hours, 24 hours, etc.), calculate the total sales volume and sales proportion of each operating duration. (2) Compare the sales proportions of different operating durations, and the model with the highest proportion is the dominant one based on operating duration.
