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DS-Women-s-Shoe-Prices

Colab Link https://colab.research.google.com/drive/1HNTf0o4XSxNhsesdOwxGmzQ7XusYCJes?usp=sharing

https://www.kaggle.com/datasets/datafiniti/womens-shoes-prices?datasetId=1163&sortBy=voteCount

new dataset: https://www.kaggle.com/datasets/nguyenngocphung/womens-shoe-prices

google doc: https://docs.google.com/document/d/1Lr_mt_r-vldfflHaYL41l2aWMqfz7ZII_SU1j7hIPUo/edit?usp=sharing

slides: https://1drv.ms/p/s!AoE53msHB_GTgchFi4cTRHkgATlO6w?e=FgVnhO

About Dataset About This Data

This is a list of 10,000 women's shoes and their product information provided by Datafiniti's Product Database.

The dataset includes shoe name, brand, price, and more. Each shoe will have an entry for each price found for it and some shoes may have multiple entries.

Note that this is a sample of a large dataset. The full dataset is available through Datafiniti. What You Can Do with This Data

You can use this data to determine brand markups, pricing strategies, and trends for luxury shoes. E.g.:

What is the average price of each distinct brand listed?
Which brands have the highest prices?
Which ones have the widest distribution of prices?
Is there a typical price distribution (e.g., normal) across brands or within specific brands?

Further processing data would also let you:

Correlate specific product features with changes in price.
You can cross-reference this data with a sample of our Men's Shoe Prices to see if there are any differences between women's brands and men's brands.

Data Schema

A full schema for the data is available in our support documentation. About Datafiniti

Datafiniti provides instant access to web data. We compile data from thousands of websites to create standardized databases of business, product, and property information. Learn more. Interested in the Full Dataset?

You can access the full dataset by running the following query with Datafiniti’s Product API.

{ "query": "dateUpdated:[2018-01-01 TO ] AND brand: AND categories:(Women's Shoes OR All Women's Shoes OR Womens Shoes)* AND primaryCategories:(Shoes)* AND name:* AND prices:* AND sizes:* AND sourceURLs:*", "format": "csv", "download": true}

*The total number of results may vary.

Get this data and more by creating a free Datafiniti account or requesting a demo.

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