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The wrecked Renault R28 car driven by Nelson Piquet Jr. at the centre of the controversy. The Renault Formula One crash controversy, dubbed as "Crashgate" by some in the media, [1] [2] was a sporting scandal caused when Renault F1 driver Nelson Piquet Jr. deliberately crashed during the 2008 Singapore Grand Prix to give a sporting advantage to his Renault teammate, Fernando Alonso.
Three drivers died in the intervening years while driving former Formula One cars (two from the 1960s, one from the 1990s) in vintage racing and other events not associated with World Championship Grands Prix. [12] [13] [14] Two Formula One Champions have died while racing or practising in Formula One, Jochen Rindt in 1970, and Senna in 1994 ...
Graphical examination of count data may be aided by the use of data transformations chosen to have the property of stabilising the sample variance. In particular, the square root transformation might be used when data can be approximated by a Poisson distribution (although other transformation have modestly improved properties), while an inverse sine transformation is available when a binomial ...
Seven cars were classified, only three crossed the finish line) [2] Fewest finishers (classified) 4: 1966 Monaco Grand Prix (16 starters) [3] Most finishers: 24: 2011 European Grand Prix (24 starters) [4] Most pit stops: 89: 2023 Dutch Grand Prix [5] Fewest pit stops: 0: 1961 Dutch Grand Prix 2021 Belgian Grand Prix [6] Most overtakes for the ...
The datasets are classified, based on the licenses, as Open data and Non-Open data. The datasets from various governmental-bodies are presented in List of open government data sites. The datasets are ported on open data portals. They are made available for searching, depositing and accessing through interfaces like Open API. The datasets are ...
The dataset is labeled with semantic labels for 32 semantic classes. over 700 images Images Object recognition and classification 2008 [56] [57] [58] Gabriel J. Brostow, Jamie Shotton, Julien Fauqueur, Roberto Cipolla RailSem19 RailSem19 is a dataset for understanding scenes for vision systems on railways. The dataset is labeled semanticly and ...
If you'd instead put your $10,000 into an S&P 500 (SNPINDEX: ^GSPC) index fund, you would've had just $11,900 at the end of the year. An equal investment in an S&P 500 index fund would be worth ...
The average silhouette of the data is another useful criterion for assessing the natural number of clusters. The silhouette of a data instance is a measure of how closely it is matched to data within its cluster and how loosely it is matched to data of the neighboring cluster, i.e., the cluster whose average distance from the datum is lowest. [8]