纱线成分月度流行趋势分析数据

本数据基于纺织服饰检测中心的权威检测数据流，对绵羊毛、聚酯纤维、桑蚕丝、棉、锦纶、柞蚕丝六类主流纱线纤维成分进行月度流行趋势分析，通过实时追踪检测量波动、行业趋势动能及热力指数变化，为纱线生产商提供精准的产能调配依据，指导面料贸易商建立弹性采购策略，并赋能品牌商在可持续产品开发中抢占先机，最终构建覆盖纤维生产-纱线流通-成衣设计的全链路数据决策体系，使检测数据成为纺织产业洞察市场风向的核心基础设施。 1.数据收集和预处理：（1）数据收集：收集送检纺织样品中不同纱线成分含量的检测统计信息，具体包括统计月份、纱线成分、当月该纱线成分检测数量、上月该纱线成分检测数量、当月纱线成分检测总数量和月度行业趋势动能指数。（2）数据预处理：对采集到的原始数据进行处理，去除缺失和异常数据。2.计算该纱线成分月度检测数量占比（MS）=当月该纱线成分检测数量/当月纱线成分检测总数量； 3.计算该纱线成分月度环比变化率（Gr）=（当月该纱线成分检测数量-上月该纱线成分检测数量)/上月该纱线成分检测数量；4.计算纱线成分热力值（FHV） = W₁×ln(1+Fr) + W₂×MS + W₃×ln(1+∣Gr∣×10)，其中，W1、W2、W3是权重系数，用于调整不同因素对流行度指数的影响程度，且W1+W2+W3=1；5.计算月度流行度标准化得分（HI）=(FHV-min（FHV)）/(max（FHV)-min（FHV)），其中max（FHV)表示当月统计的最大流行度指数值，min（FHV)表示当月统计的最小流行度指数值。流行度标准化得分将在0到1之间，其中1表示最流行。This dataset is based on the authoritative testing data stream from the Textile and Apparel Testing Center, and conducts monthly trend analysis on six major types of mainstream yarn fiber components including sheep wool, polyester fiber, mulberry silk, cotton, nylon, and tussah silk. By real-time tracking fluctuations in testing volume, changes in industry trend momentum and heat index, it provides accurate production capacity allocation references for yarn manufacturers, guides fabric traders to develop flexible procurement strategies, empowers brand owners to gain a competitive edge in sustainable product development, and ultimately builds a full-chain data decision-making system covering fiber production, yarn circulation and garment design, making testing data a core infrastructure for the textile industry to gain market insights. 1. Data Collection and Preprocessing: (1) Data Collection: Collect testing statistical data on the content of different yarn components in submitted textile samples, specifically including statistical month, yarn component, testing volume of this yarn component in the current month, testing volume of this yarn component in the previous month, total testing volume of all yarn components in the current month, and monthly industry trend momentum index. (2) Data Preprocessing: Process the collected raw data by removing missing and abnormal data. 2. Calculate the monthly testing volume proportion of the yarn component (MS): MS = (Testing Volume of the Yarn Component in Current Month) / (Total Testing Volume of All Yarn Components in Current Month) 3. Calculate the month-on-month growth rate of the yarn component (Gr): Gr = (Testing Volume of the Yarn Component in Current Month - Testing Volume of the Yarn Component in Previous Month) / (Testing Volume of the Yarn Component in Previous Month) 4. Calculate the Fiber Heat Value (FHV) = W₁×ln(1+Fr) + W₂×MS + W₃×ln(1+|Gr|×10), where W₁, W₂, and W₃ are weight coefficients used to adjust the impact of different factors on the popularity index, and W₁ + W₂ + W₃ = 1. 5. Calculate the Monthly Standardized Popularity Score (HI) = (FHV - min(FHV)) / (max(FHV) - min(FHV)), where max(FHV) represents the maximum popularity index value counted in the current month, and min(FHV) represents the minimum popularity index value counted in the current month. The standardized popularity score ranges between 0 and 1, with 1 indicating the most popular.

搜集汇总

背景与挑战

背景概述

该数据集是纱线成分月度流行趋势分析数据，由权威检测中心提供，包含2658条记录，覆盖绵羊毛、聚酯纤维等六类纱线纤维成分，通过计算检测数量占比、环比变化率和热力指数等指标，量化月度流行度得分，旨在为纺织行业的生产、贸易和品牌开发提供数据驱动的市场洞察和决策依据。