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Data binning, also called data discrete binning or data bucketing, is a data pre-processing technique used to reduce the effects of minor observation errors.The original data values which fall into a given small interval, a bin, are replaced by a value representative of that interval, often a central value (mean or median).
The bins may be chosen according to some known distribution or may be chosen based on the data so that each bin has / samples. When plotting the histogram, the frequency density is used for the dependent axis. While all bins have approximately equal area, the heights of the histogram approximate the density distribution.
The major stock market indexes continue to blast through record highs as 2024 shapes up to be another great year for investors. Since the start of 2023, the S&P 500 is up a mind-numbing 49.5% ...
Common terms for the value of an asset or liability are market value, fair value, and intrinsic value.The meanings of these terms differ. For instance, when an analyst believes a stock's intrinsic value is greater (or less) than its market price, an analyst makes a "buy" (or "sell") recommendation.
How far off is Bingo Industries Limited ( ASX:BIN ) from its intrinsic value? Using the most recent financial data...
Widow-and-orphan stock: a stock that reliably provides a regular dividend while also yielding a slow but steady rise in market value over the long term. [13] Witching hour: the last hour of stock trading between 3 pm (when the bond market closes) and 4 pm EST (when the stock market closes), which can be characterized by higher-than-average ...
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Auction sniping (also called bid sniping) is the practice, in a timed online auction, of placing a bid likely to exceed the current highest bid (which may be hidden) as late as possible—usually seconds before the end of the auction—giving other bidders no time to outbid the sniper.