服装面料色系月度流行情况分析数据

本数据是对紫、蓝、绿、黄、橙、红、棕、米、灰、白、黑等11类市场主流面料色系的使用量统计和流行情况分析数据。本数据有助于面料生产商根据不同面料色系的流行度情况在开发面料时合理选择色系，使其产品更符合市场流行趋势。本数据为面料销售商对不同色系面料的采购选择和销售决策提供数据支持，有助于其基于月度服装面料色系的流行度情况进一步预测市场面料色系流行度趋势，以快速适应市场需求的变动。1.数据收集和预处理：（1）数据收集：收集公司在自建的纺织服装数据流通平台上不同服装面料的使用统计信息，具体包括统计月份、面料色系、当月该色系使用量、上月该色系使用量、当月面料总量和月度推荐频次（用“Fr”表示，即在一个月内某种面料色系因其当日使用量最高而被推荐为“当日推荐色系”的次数）。（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.计算该色系月度使用量占比（MS）=当月该色系使用量/当月面料总量； 3.计算该色系月度使用增长率（Gr）=（当月该色系使用量-上月该色系使用总量)/上月该色系使用总量；4.计算流行度指数(FPI)=W1×log(1+Fr)+W2×MS+W3×log(1+|Gr|),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.计算流行度标准化得分（N）=(FPI-min（FPI)）/(max（FPI)-min（FPI)），其中max（FPI)表示当月统计的最大流行度指数值，min（FPI)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 comprises usage volume statistics and popularity analysis data for 11 mainstream market fabric color shades, including purple, blue, green, yellow, orange, red, brown, beige, gray, white, and black. This data assists fabric manufacturers in rationally selecting color shades during fabric development based on the popularity of different fabric color shades, enabling their products to better align with market fashion trends. It also provides data support for fabric distributors in their procurement selection and sales decision-making for fabrics of various color shades, helping them further predict market fabric color shade popularity trends based on monthly garment fabric color shade popularity, so as to rapidly adapt to changes in market demand.

1. Data Collection and Preprocessing:
(1) Data Collection: Collect statistical information on different garment fabrics from the company's self-built textile and apparel data circulation platform, specifically including statistical month, fabric color shade, usage volume of the target color shade in the current month, usage volume of the target color shade in the previous month, total monthly fabric volume, and monthly recommendation frequency (denoted as "Fr", which refers to the number of times a certain fabric color shade is recommended as the "daily recommended color shade" because its daily usage volume ranks first within a month).
(2) Data Preprocessing: Process the collected raw data by eliminating missing and abnormal data entries.

2. Calculate the monthly usage proportion of the color shade (MS) = Usage volume of the color shade in the current month / Total monthly fabric volume;
3. Calculate the monthly usage growth rate (Gr) = (Usage volume of the color shade in the current month - Total usage volume of the color shade in the previous month) / Total usage volume of the color shade in the previous month;
4. Calculate the Popularity Index (FPI) = W1×log(1+Fr)+W2×MS+W3×log(1+|Gr|), where W1, W2, W3 are weight coefficients used to adjust the impact of different factors on the popularity index, and W1+W2+W3=1;
5. Calculate the standardized popularity score (N) = (FPI - min(FPI)) / (max(FPI) - min(FPI)), where max(FPI) represents the maximum popularity index value counted in the current month, and min(FPI) represents the minimum popularity index value counted in the current month. The standardized popularity score ranges from 0 to 1, with 1 indicating the most popular.

搜集汇总

数据集介绍

特点

该数据集记录了11类市场主流面料色系的月度使用量和流行情况，包含526条数据，每月更新。通过计算流行度指数和标准化得分，为面料生产商和销售商提供市场趋势分析和决策支持。