6018 Global import shipment records of Readymade Garment with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

🎯 Start with why

The ambition of this dataset is to offer a ready-to-use duckdb database to play and learn more about the The Neo4j Ninjas program.

🍿 For impatients only

❔ About

According to Neo4J :

"The Neo4j Ninjas program recognizes community experts who are shaping the future of graph databases. Neo4j Ninjas are technical experts and graph enthusiasts who are committed to sharing their knowledge and love for graph databases with their communities and our larger, global network."

"They are active community members, writing blogs, presenting at top conferences and community meetups, leading GitHub projects, giving interviews in podcasts and livestreams, and helping their peers with practical solutions on forums."

📑 Related resources

• 🥷 Neo4J Ninjas & datascience
• 🔖 adriens/neo4j-ninjas project on GitHub
• 🗞️ This week on Neo4J

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Get the latest USA Ready Made Garments import data with importer names, shipment details, buyers list, product description, price, quantity, and major US ports.

This database is an adaptation for DADA2 of Diat.barcode v12. Length of sequences is 263 bp ------------------------- Rimet, Frederic et al., 2018, "Diat.barcode, an open-access barcode library for diatoms", https://doi.org/10.15454/TOMBYZ

The Easiest Way to Collect Data from the Internet Download anything you see on the internet into spreadsheets within a few clicks using our ready-made web crawlers or a few lines of code using our APIs

We have made it as simple as possible to collect data from websites

Easy to Use Crawlers Amazon Product Details and Pricing Scraper Amazon Product Details and Pricing Scraper Get product information, pricing, FBA, best seller rank, and much more from Amazon.

Google Maps Search Results Google Maps Search Results Get details like place name, phone number, address, website, ratings, and open hours from Google Maps or Google Places search results.

Twitter Scraper Twitter Scraper Get tweets, Twitter handle, content, number of replies, number of retweets, and more. All you need to provide is a URL to a profile, hashtag, or an advance search URL from Twitter.

Amazon Product Reviews and Ratings Amazon Product Reviews and Ratings Get customer reviews for any product on Amazon and get details like product name, brand, reviews and ratings, and more from Amazon.

Google Reviews Scraper Google Reviews Scraper Scrape Google reviews and get details like business or location name, address, review, ratings, and more for business and places.

Walmart Product Details & Pricing Walmart Product Details & Pricing Get the product name, pricing, number of ratings, reviews, product images, URL other product-related data from Walmart.

Amazon Search Results Scraper Amazon Search Results Scraper Get product search rank, pricing, availability, best seller rank, and much more from Amazon.

Amazon Best Sellers Amazon Best Sellers Get the bestseller rank, product name, pricing, number of ratings, rating, product images, and more from any Amazon Bestseller List.

Google Search Scraper Google Search Scraper Scrape Google search results and get details like search rank, paid and organic results, knowledge graph, related search results, and more.

Walmart Product Reviews & Ratings Walmart Product Reviews & Ratings Get customer reviews for any product on Walmart.com and get details like product name, brand, reviews, and ratings.

Scrape Emails and Contact Details Scrape Emails and Contact Details Get emails, addresses, contact numbers, social media links from any website.

Walmart Search Results Scraper Walmart Search Results Scraper Get Product details such as pricing, availability, reviews, ratings, and more from Walmart search results and categories.

Glassdoor Job Listings Glassdoor Job Listings Scrape job details such as job title, salary, job description, location, company name, number of reviews, and ratings from Glassdoor.

Indeed Job Listings Indeed Job Listings Scrape job details such as job title, salary, job description, location, company name, number of reviews, and ratings from Indeed.

LinkedIn Jobs Scraper Premium LinkedIn Jobs Scraper Scrape job listings on LinkedIn and extract job details such as job title, job description, location, company name, number of reviews, and more.

Redfin Scraper Premium Redfin Scraper Scrape real estate listings from Redfin. Extract property details such as address, price, mortgage, redfin estimate, broker name and more.

Yelp Business Details Scraper Yelp Business Details Scraper Scrape business details from Yelp such as phone number, address, website, and more from Yelp search and business details page.

Zillow Scraper Premium Zillow Scraper Scrape real estate listings from Zillow. Extract property details such as address, price, Broker, broker name and more.

Amazon product offers and third party sellers Amazon product offers and third party sellers Get product pricing, delivery details, FBA, seller details, and much more from the Amazon offer listing page.

Realtor Scraper Premium Realtor Scraper Scrape real estate listings from Realtor.com. Extract property details such as Address, Price, Area, Broker and more.

Target Product Details & Pricing Target Product Details & Pricing Get product details from search results and category pages such as pricing, availability, rating, reviews, and 20+ data points from Target.

Trulia Scraper Premium Trulia Scraper Scrape real estate listings from Trulia. Extract property details such as Address, Price, Area, Mortgage and more.

Amazon Customer FAQs Amazon Customer FAQs Get FAQs for any product on Amazon and get details like the question, answer, answered user name, and more.

Yellow Pages Scraper Yellow Pages Scraper Get details like business name, phone number, address, website, ratings, and more from Yellow Pages search results.

This database is an adaptation for DADA2 of Diat.barcode v10. Length of sequences is 263 bp ------------------------- Rimet, Frederic; Chonova, Teofana; Gassiole, Gilles; Gusev, Evgenuy; Kahlert, Maria; Keck, François; Kelly, Martyn; Kulikovskiy, Maxim; Maltsev, Yevhen; Mann, David; Pfannkuchen, Martin; Trobajo, Rosa; Vasselon, Valentin; Wetzel, Carlos; Zimmermann, Jonas; Bouchez, Agnès, 2018, "Diat.barcode, an open-access barcode library for diatoms", https://doi.org/10.15454/TOMBYZ (2020-11-06)

The HCV sequence database collects and annotates sequence data and provides them to the public via a website that contains a user-friendly search interface and a large number of sequence analysis tools, based on the model of the highly regarded Los Alamos HIV database. The hepatitis C virus (HCV) is a significant threat to public health worldwide. The virus is highly variable and evolves rapidly, making it an elusive target for the immune system and for vaccine and drug design. At present, some 30 000 HCV sequences have been published. This central website provides annotated sequences and analysis tools that will be helpful to HCV scientists worldwide. Things you can do: * Find sequences in the database * Download sequences from the database * Retrieve data about the sequences * Analyze sequences * Work with the sequences using our tools * Download ready-made alignments The HCV sequence database was officially launched in September 2003. Since then, its usage has steadily increased and is now at an average of approximately 280 visits per day from distinct IP addresses.

Egypt Industrial Production: Private: Ready Made Clothes data was reported at 337.200 Piece mn in 2016. This records an increase from the previous number of 333.800 Piece mn for 2015. Egypt Industrial Production: Private: Ready Made Clothes data is updated yearly, averaging 253.050 Piece mn from Jun 1992 (Median) to 2016, with 24 observations. The data reached an all-time high of 337.200 Piece mn in 2016 and a record low of 129.000 Piece mn in 1992. Egypt Industrial Production: Private: Ready Made Clothes data remains active status in CEIC and is reported by Ministry of Planning. The data is categorized under Global Database’s Egypt – Table EG.B005: Industrial Production: Annual.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

edition_0333_cornell-movie-review-data-rotten_tomatoes-readymade

A Readymade by TheFactoryX

  Original Dataset

cornell-movie-review-data/rotten_tomatoes

  Process

This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them as art. What we did:

Selected the original dataset from Hugging Face Shuffled each column independently Destroyed all row-wise relationships Preserved structure, removed meaning

The… See the full description on the dataset page: https://huggingface.co/datasets/TheFactoryX/edition_0333_cornell-movie-review-data-rotten_tomatoes-readymade.

Thailand Domestic Sales: Concrete: Ready Made Concrete Floor data was reported at 42,202.290 sq m in Jun 2018. This records an increase from the previous number of 41,713.030 sq m for May 2018. Thailand Domestic Sales: Concrete: Ready Made Concrete Floor data is updated monthly, averaging 36,437.735 sq m from Jan 2000 (Median) to Jun 2018, with 222 observations. The data reached an all-time high of 68,420.480 sq m in Mar 2015 and a record low of 13,244.843 sq m in Jan 2000. Thailand Domestic Sales: Concrete: Ready Made Concrete Floor data remains active status in CEIC and is reported by Office of Industrial Economics. The data is categorized under Global Database’s Thailand – Table TH.H004: Domestic Sales: Office of Industrial Economics (ISIC Rev. 4).

Bangladesh Exports: USD: Year to Date: Value: Ready Made Garment data was reported at 14.100 USD bn in Mar 2025. This records an increase from the previous number of 12.456 USD bn for Feb 2025. Bangladesh Exports: USD: Year to Date: Value: Ready Made Garment data is updated monthly, averaging 4.723 USD bn from Jun 2004 (Median) to Mar 2025, with 248 observations. The data reached an all-time high of 21.253 USD bn in Jun 2023 and a record low of 345.200 USD mn in Jul 2007. Bangladesh Exports: USD: Year to Date: Value: Ready Made Garment data remains active status in CEIC and is reported by Bangladesh Bank. The data is categorized under Global Database’s Bangladesh – Table BD.JA006: Trade Statistics: Exports by Commodity: USD.

Vietnam Industrial Production: Year to Date: Ready Made Garments data was reported at 3,962.723 Unit mn in Oct 2018. This records an increase from the previous number of 3,536.565 Unit mn for Sep 2018. Vietnam Industrial Production: Year to Date: Ready Made Garments data is updated monthly, averaging 541.637 Unit mn from Jan 1998 (Median) to Oct 2018, with 250 observations. The data reached an all-time high of 3,962.723 Unit mn in Oct 2018 and a record low of 19.198 Unit mn in Jan 1998. Vietnam Industrial Production: Year to Date: Ready Made Garments data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.B033: Industrial Production: in Quantity: ytd.

Indonesia Average Monthly Expenditure per Capita: Clothing, Footwear and Headgear: Ready Made Clothes for Children data was reported at 5,503.000 IDR in 2018. This records an increase from the previous number of 5,169.000 IDR for 2017. Indonesia Average Monthly Expenditure per Capita: Clothing, Footwear and Headgear: Ready Made Clothes for Children data is updated yearly, averaging 2,860.500 IDR from Dec 2003 (Median) to 2018, with 16 observations. The data reached an all-time high of 12,399.000 IDR in 2014 and a record low of 1,716.000 IDR in 2004. Indonesia Average Monthly Expenditure per Capita: Clothing, Footwear and Headgear: Ready Made Clothes for Children data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Indonesia Premium Database’s Domestic Trade and Household Survey – Table ID.HC001: Average Monthly Expenditure per Capita.

Access updated Ready Made Garment import data India with HS Code, price, importers list, Indian ports, exporting countries, and verified Ready Made Garment buyers in India.

Calİk Alexandrİa For Ready Made Garments Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Global trade data of Ready made garments under 62034200, 62034200 global trade data, trade data of Ready made garments from 80+ Countries.

Myanmar Production: Made Up Article: Shirts & Ready made Garments data was reported at 9.000 Unit th in 2017. This records a decrease from the previous number of 689.000 Unit th for 2016. Myanmar Production: Made Up Article: Shirts & Ready made Garments data is updated yearly, averaging 1,390.500 Unit th from Mar 1986 (Median) to 2017, with 24 observations. The data reached an all-time high of 146,600.000 Unit th in 1986 and a record low of 9.000 Unit th in 2017. Myanmar Production: Made Up Article: Shirts & Ready made Garments data remains active status in CEIC and is reported by Central Statistical Organization. The data is categorized under Global Database’s Myanmar – Table MM.B002: Production by Commodity: Annual.

Explore detailed Ready Made Garments import data of Un To The Order Of in the USA—product details, price, quantity, origin countries, and US ports.