Content

More details about each file are in the individual file descriptions.

Context

This is a dataset hosted by the World Bank. The organization has an open data platform found here and they update their information according the amount of data that is brought in. Explore the World Bank using Kaggle and all of the data sources available through the World Bank organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using the World Bank's APIs and Kaggle's API.

Cover photo by Daniel Corneschi on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

This dataset shows Qatar's Global Innovation Index score and rank, based on WIPO's annual GII report.

Amazon Best Seller data contains information about the best-selling products on Amazon; this information is very useful for monitoring the best-selling products in various categories and sub-categories.

A. Usecase/Applications possible with the data:

1. Competition Monitoring: Amazon's Best Sellers Data contains the data of best-selling goods on Amazon, which features a lot about the top e-commerce trends. Direct competition with these items might be challenging, but the Best Sellers list can be a source of inspiration for new products and help e-commerce merchants keep ahead of the game. Getting your item onto the Best Sellers list and keeping it there is one of the most reliable strategies to ensure sales for your company. Once a product makes the Best Sellers list, e-commerce businesses increasingly use web scraping to keep track of new items and change their own to compete.

2. New Product Launch: Amazon Best Sellers Data is critical when it comes to launching a new product or repositioning existing products. Indeed, Amazon's best seller rank data can be used as a guide, indicating when you and your products are on the right track.

How does it work?

• Analyze sample data
• Customize parameters to suit your needs
• Add to your projects
• Contact support for further customization

Free-Cash-Flow-To-Equity Time Series for Api Group Corp. APi Group Corporation provides safety and specialty services worldwide. The company offers end-to-end integrated occupancy systems, such as fire protection services; heating, ventilation, and air conditioning solutions; and entry systems, elevators, and escalators, including design, installation, inspection, and service of these integrated systems. It also provides various infrastructure and specialized industrial plant services comprising maintenance and repair of underground electric, gas, water, sewer, and telecommunications infrastructure; engineering and design, fabrication, installation, maintenance service and repair, retrofitting and upgrading, pipeline infrastructure, access and road construction, supporting facilities, and integrity management and maintenance. The company serves commercial, education, healthcare, high tech, industrial, and special-hazard settings, as well as private and public utilities, communications, healthcare, education, transportation, manufacturing, industrial plants and governmental agencies. The company was formerly known as J2 Acquisition Limited and changed its name to APi Group Corporation in October 2019. APi Group Corporation was founded in 1926 and is headquartered in New Brighton, Minnesota.

This dataset contains the Global Green Economy Index for the period 2014-2018. Data from Dual Citizen LLC. Follow datasource.kapsarc.org for timely data to advance energy economics research.1. The results are expressed as percentiles representing an aggregate result from the four main dimensions of the GGEI: leadership & climate change; efficiency sectors; markets & investment; and environment. 2. The percentile results below should not be simply compared to those from prior GGEI editions as the 2018 GGEI covers 50 more countries than the 2016 edition. 3. The "time series available" column represents the period for which we have GGEI data for a given country. 4. Data collection and analysis for the 2018 GGEI was conducted by Agnes Magnusson, Philip McNally and Victor Milla and led by Jeremy Tamanini.5. The Global Green Economy Index™ (GGEI) is a trademark of Dual Citizen LLC.

Comparison of Represents the average of coding benchmarks in the Artificial Analysis Intelligence Index (LiveCodeBench & SciCode) by Model

Comparison of Represents the average of math benchmarks in the Artificial Analysis Intelligence Index (AIME 2024 & Math-500) by Model

Comparison of Seconds to Output 500 Tokens, including reasoning model 'thinking' time; Lower is better by Model

Comprehensive comparison of Latency (Time to First Token) vs. Output Speed (Output Tokens per Second) by Model

Comparison of Seconds to First Answer Token Received; Accounts for Reasoning Model 'Thinking' time by Model

Comparison of Output Tokens per Second; Higher is better by Model

Comparison of Tokens used to run all evaluations in the Artificial Analysis Intelligence Index by Model

Comparison of Seconds to Output 500 Tokens, including reasoning model 'thinking' time; Lower is better by Model

Comparison of Price: USD per 1M Tokens; Lower is better by Provider

Comparison of Price: USD per 1M Tokens by Model

Comparison of Cost (USD) to run all evaluations in the Artificial Analysis Intelligence Index by Model

Comprehensive comparison of Artificial Analysis Intelligence Index vs. Output Speed (Output Tokens per Second) by Model

Comprehensive comparison of Artificial Analysis Intelligence Index vs. Price (USD per M Tokens, Log Scale, More Expensive to Cheaper) by Model

Comprehensive comparison of Output Speed (Output Tokens per Second) vs. Price (USD per M Tokens) by Model

Comparison of Image Input Price: USD per 1k images at 1MP (1024x1024) by Model