The NYC taxi dataset is a collection of many years of taxi rides that occurred in New York City. It is a very influential dataset, used for database benchmarks, machine learning, data visualization, and more. In 2022, the data provider has decided to distribute the dataset as a series of Parquet files instead of CSV files. Performance-wise, this is a wise choice, as Parquet files are much smaller than CSV files, and their native columnar format allows for fast execution directly on them. However...
또한 뉴욕시 벤치마킹법(NYC Benchmarking Law)이라고 불리는 지역법 84호(Local Law 84)가 있는데, 이 법은 일정 규모 이상의 건물 소유주들에게 매년 건물의 에너지, 물 사용량 측정을 요구하며 이...
Zero knowledge proofs are key to the future of web3 and decentralization. Join us for a lively discussion about cutting-edge ZKP research and applications in…
NYC’s benchmarking dataset is the largest and most comprehensive in the country, and the city has successfully leveraged this data to implement innovative policies that promote energy...
Our Crash Course on NYC Building Energy Laws is a free 3 hour class covering everything you need to know as a building owner about local laws and benchmarking.…
관련성이 더 높은 업데이트 ; Mark Hertz ; Jonisha Smith M.B.A. Jackson McDonald ; Heat-Timer® Corp ; Freedom Property Investors ; CEA LEGAL P.C. Jenna Morley ; Design & Build Corporation ; Grassmere Construction Ltd.
ReDocs helps building owners, managers, co-ops, and condos across the country in matters of compliance, regulations, and building operations
Download Kaggle NYC bike data for Dask benchmarking import json from pathlib import Path import duckdb import kaggle from loguru import logger from tqdm import tqdm # In order to access...
Energy efficiency was responsible for 35 percent of the emissions drop. ; Switching to cleaner fuels contributed 25 percent. ; A cleaner grid accounted for 40 percent.
A – score is equal to or greater than 85; ; B – score is equal to or greater than 70 but less than 85; ; C – score is equal to or greater than 55 but less than 70;