Dataset: Women Fashion Trend Dataset

About this Dataset

Women Fashion Trend Dataset

The Women Fashion Trend Dataset is a comprehensive collection of fashion-related information and trends specifically focused on women's fashion. It serves as a valuable resource for fashion analysts, designers, retailers, and researchers interested in understanding and predicting the latest trends in women's fashion.

This dataset encompasses a wide range of fashion elements, including clothing, accessories, footwear, and beauty products. It covers various categories such as casual wear, formal wear, athleisure, swimwear, lingerie, and more. Each category includes detailed information about the latest designs, styles, colors, patterns, and materials that are popular within the given timeframe.

Tables

Summer Products

@kaggle.durgeshrao9993_dataset.summer_products

469.65 KB
1573 rows
43 columns


CREATE TABLE summer_products (
  "title" VARCHAR,
  "title_orig" VARCHAR,
  "price" DOUBLE,
  "retail_price" BIGINT,
  "currency_buyer" VARCHAR,
  "units_sold" BIGINT,
  "uses_ad_boosts" BIGINT,
  "rating" DOUBLE,
  "rating_count" BIGINT,
  "rating_five_count" DOUBLE,
  "rating_four_count" DOUBLE,
  "rating_three_count" DOUBLE,
  "rating_two_count" DOUBLE,
  "rating_one_count" DOUBLE,
  "badges_count" BIGINT,
  "badge_local_product" BIGINT,
  "badge_product_quality" BIGINT,
  "badge_fast_shipping" BIGINT,
  "tags" VARCHAR,
  "product_color" VARCHAR,
  "product_variation_size_id" VARCHAR,
  "product_variation_inventory" BIGINT,
  "shipping_option_name" VARCHAR,
  "shipping_option_price" BIGINT,
  "shipping_is_express" BIGINT,
  "countries_shipped_to" BIGINT,
  "inventory_total" BIGINT,
  "has_urgency_banner" DOUBLE,
  "urgency_text" VARCHAR,
  "origin_country" VARCHAR,
  "merchant_title" VARCHAR,
  "merchant_name" VARCHAR,
  "merchant_info_subtitle" VARCHAR,
  "merchant_rating_count" BIGINT,
  "merchant_rating" DOUBLE,
  "merchant_id" VARCHAR,
  "merchant_has_profile_picture" BIGINT,
  "merchant_profile_picture" VARCHAR,
  "product_url" VARCHAR,
  "product_picture" VARCHAR,
  "product_id" VARCHAR,
  "theme" VARCHAR,
  "crawl_month" TIMESTAMP
);