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In a histogram, each bin is for a different range of values, so altogether the histogram illustrates the distribution of values. But in a bar chart, each bar is for a different category of observations (e.g., each bar might be for a different population), so altogether the bar chart can be used to compare different categories.
Like a hash table, bin's efficiency depends a lot on the distribution of both location and size of candidates and queries. In general, the smaller the query rectangle, the more efficient the query. The bin's size should be such that it contains as few candidates as possible but large enough so that candidates do not span too many bins.
Templates used in the creation and formatting of tables and columns. See also {{ List to table }} and its related Category:Articles requiring tables ; and Category:Multi-column templates for simple columns without tables.
Add the new template to the table in the common documentation afterwards. Please consider reusing one of the other templates and please choose the color sensibly. If you find a table cell template that does not take a parameter and you want to be able to change the text in the cell, do not duplicate the template! Instead, edit the template and ...
This template should always be substituted (i.e., use {{subst:Page range}}). Any accidental transclusions will be automatically substituted by a bot. Any accidental transclusions will be automatically substituted by a bot.
Productivity software (also called personal productivity software or office productivity software [1]) is application software used for producing information (such as documents, presentations, worksheets, databases, charts, graphs, digital paintings, electronic music and digital video). [2]
This template can be useful when building a sortable table in which a column contains both numbers and text. This template should be applied to every number in the column and should not be used outside of sortable tables. Currently, the template works for numbers between −10 308 and 10 308. Numbers outside this range will sort above or below ...
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).