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Data profiling utilizes methods of descriptive statistics such as minimum, maximum, mean, mode, percentile, standard deviation, frequency, variation, aggregates such as count and sum, and additional metadata information obtained during data profiling such as data type, length, discrete values, uniqueness, occurrence of null values, typical string patterns, and abstract type recognition.
Pandas' syntax for mapping index values to relevant data is the same syntax Python uses to map dictionary keys to values. For example, if s is a Series, s['a'] will return the data point at index a. Unlike dictionary keys, index values are not guaranteed to be unique. If a Series uses the index value a for multiple data points, then s['a'] will ...
Profiling results can be used to guide the design and optimization of an individual algorithm; the Krauss matching wildcards algorithm is an example. [5] Profilers are built into some application performance management systems that aggregate profiling data to provide insight into transaction workloads in distributed applications. [6]
In information science, profiling refers to the process of construction and application of user profiles generated by computerized data analysis. This is the use of algorithms or other mathematical techniques that allow the discovery of patterns or correlations in large quantities of data, aggregated in databases .
In early 2001, a bill was introduced to Congress named "End Racial Profiling Act of 2001" but lost support in the wake of the September 11 attacks. [25] The bill was re-introduced to Congress in 2010 but also failed to gain the support it needed. [25] Several U.S. states now have reporting requirements for incidents of racial profiling.
Offender profiling, also known as criminal profiling, is an investigative strategy used by law enforcement agencies to identify likely suspects and has been used by investigators to link cases that may have been committed by the same perpetrator. [2]
Racial profiling or ethnic profiling is the selective enforcement or selective prosecution based on race or ethnicity, rather than individual suspicion or evidence. This practice involves discrimination against minority populations and often relies on negative stereotypes .
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