/Data-Analysis-Toolkit

The code provides a collection of functions for various statistical calculations, including sorting, frequency analysis, mean calculations, and dispersion measures.

Primary LanguagePython

Data-Analysis-Toolkit

The code provides a collection of functions for various statistical calculations, including sorting, frequency analysis, mean calculations, and dispersion measures.

About

  • bubble_sort - sorts a list of elements in ascending order using the bubble sort algorithm
  • array_frequency - calculates the frequency of each unique element in a list and returns a dictionary with element-frequency pairs
  • arithmetic_mean - computes the arithmetic mean (average) of a list of numbers
  • harmonic_mean - calculates the harmonic mean of a list of numbers
  • mean_square - computes the root mean square (RMS) of a list of numbers
  • geometric_mean - calculates the geometric mean of a list of numbers
  • mode - finds the mode(s), i.e., the most frequently occurring element(s), in a list
  • median - computes the median
  • range_of_variation - calculates the range of variation, which is the difference between the maximum and minimum values in a list
  • mean_deviation - computes the mean deviation of a list of numbers
  • mean_squared_deviation - calculates the mean squared deviation of a list of numbers
  • dispersion - computes the dispersion
  • coefficient_of_variation - calculates the coefficient of variation, which represents the relative variability of a list of numbers
  • coefficient_of_oscillation - computes the coefficient of oscillation, which represents the relative amplitude of oscillations in a list of numbers
  • covariance - calculates the covariance between two lists of numerical data, measuring their joint variability
You can utilize this code to perform various statistical calculations. Additionally, you have the flexibility to add your own custom calculation methods as needed.

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