Prodcuts data from https://manzzeli.com All products from the furniture category Last updated Dec 26 - 2022

This list is comprised of over 12,000 customer names, emails, phone numbers and various other data of users that have paid for equity market trading software. This list will give you first contact lead generation for building out a stronger customer base for any equity market research, software or product sales team.   These clients payed over $2,000 USD a year for equity market software.

Our data service provides valuable insights and analytics on various industries and markets, allowing businesses to make informed decisions and stay ahead of the competition. Our data is highly comprehensive and constantly updated, providing the most accurate information available. With our service, businesses can access key metrics and trends, including customer behavior, buying patterns, and market opportunities. Ultimately, our data service enables our clients to optimize their operations, improve their bottom line, and achieve long-term success.   The Data you are viewing is Upwork Profiles data. It contains ~50000 rows and 37 columns of all freelancers from > 60 categories on Upwork.

columns includes url, fund_name, rating, Double in,nav, 1D change,nav_date    

Sainsbury's for groceries dataset is extracted by crawl feeds team using in-house tools.

Values for all years of the Silver Peace Dollar produced by the United States Mint from 1921-1935. Includes values for VF-20, EF-40, AU-50, MS-60, MS-63, MS-64, MS-66, MATTE PF-65 wherever applicable and data is available. Includes 25 rows and ~12 columns

This dataset contains the prices of Bitcoin every minute over a period from 2017-11-06 03:00 to 2023-03-10 2:59 (YYYY-MM-DD). The data includes the time, close time, open, high, low, close prices, the volume exchanged per minute and the number of trades per minute. It represent Bitcoin prices over 2.8 millions values. This dataset is ideal for anyone who want to track, study and analyze BTC/USDT values over more than 5 years.   Time range: From 2017-11-06 04:00 to 2023-03-40 14:00   File format: Datas are in .csv format   Columns values: - time: Date in milliseconds where observation begins - open: Opening ETH price in the minute - high: Highest ETH price in the minute - low: Lowest ETH price in the minute - close: Closing ETH price in the minute - volume: Volume exchanges between time and close_time - close_time: Date in milliseconds were observation ends

Influencer marketing campaigns: Brands can use the contact data of Indian content creators to reach out to them for influencer marketing campaigns. Influencers can create content for the brand, promote it on their social media channels, and help increase brand awareness and engagement.   Product reviews and sponsorships: Companies can use the contact data of Indian content creators to send them their products for review or to sponsor their content. This can help increase brand exposure and generate positive word-of-mouth for the product.   Brand partnerships and collaborations: Brands can use the contact data of Indian content creators to collaborate with them on brand partnerships. This can include creating co-branded content, sponsored posts, or joint events.   Content creation services: Companies can use the contact data of Indian content creators to hire them for content creation services. This can include creating social media posts, blog articles, videos, or other types of content.   Market research: Companies can use the contact data of Indian content creators to conduct market research. They can ask influencers to participate in surveys or focus groups to get insights into their target audience's preferences and behaviors.   Overall, the contact data of Indian content creators can be a valuable resource for companies and brands looking to leverage the power of influencer marketing and content creation.      

This data represents game statistics of Boston Celtics Player, Isaiah Thomas during the 2016 - 2017 season. The data includes game quarterly statistics (Quarter, +/-, FG%, etc), game outcome (Opponent & Team score, Date, Result), and player descriptions (College, Experience, Nationality). The data was consolidated with python scripts using Basketball Reference libraries and Alteryx Designer, an analytics tool for ETL.

This dataset is composed of approximately 820 Bengali poems each with their author and meter. The dataset may be pretty useful for any poem-related machine learning research and Bengali literature research works as well. 

BBC news sample dataset has 60 records with 12 columns. Crawl Feeds team used in-house tools to extract data from BBC.