GalaktaGlareDATA

GalaktaGlareDATA Package Documentation

Introduction: GalaktaGlareDATA is a Go package designed to provide various statistical functions for analyzing numerical data. It includes functions for calculating measures such as mean, median, standard deviation, mode, quartiles, percentile, correlation, and detecting anomalies in datasets.

Installation: To use GalaktaGlareDATA package, you need to have Go installed on your system. You can then install the package using the go get command:

go get github.com/simplyYan/GalaktaGlare/src/GalaktaGlareDATA

Functions:

1. Mean:

   func Mean(numbers []float64) float64
   

   Calculates the arithmetic mean (average) of a slice of float64 numbers.

   Example:

   data := []float64{2.5, 3.5, 4.5, 5.5}
   mean := GalaktaGlareDATA.Mean(data)

2. Median:

   func Median(numbers []float64) float64
   

   Calculates the median of a slice of float64 numbers.

   Example:

   data := []float64{3, 6, 1, 2, 7}
   median := GalaktaGlareDATA.Median(data)

3. StandardDeviation:

   func StandardDeviation(numbers []float64) float64
   

   Calculates the standard deviation of a slice of float64 numbers.

   Example:

   data := []float64{10, 20, 30, 40, 50}
   stdDev := GalaktaGlareDATA.StandardDeviation(data)

4. Max:

   func Max(numbers []float64) float64
   

   Finds the maximum value in a slice of float64 numbers.

   Example:

   data := []float64{3, 1, 7, 4, 9}
   max := GalaktaGlareDATA.Max(data)

5. Min:

   func Min(numbers []float64) float64
   

   Finds the minimum value in a slice of float64 numbers.

   Example:

   data := []float64{8, 3, 5, 1, 9}
   min := GalaktaGlareDATA.Min(data)

6. Mode:

   func Mode(numbers []float64) []float64
   

   Finds the mode(s) in a slice of float64 numbers.

   Example:

   data := []float64{3, 2, 3, 4, 5, 3}
   modes := GalaktaGlareDATA.Mode(data)

7. Quartiles:

   func Quartiles(numbers []float64) (float64, float64, float64)
   

   Calculates the first quartile (Q1), median (Q2), and third quartile (Q3) of a slice of float64 numbers.

   Example:

   data := []float64{12, 14, 15, 17, 18, 20, 22}
   q1, q2, q3 := GalaktaGlareDATA.Quartiles(data)

8. Percentile:

   func Percentile(numbers []float64, p float64) float64
   

   Calculates the p-th percentile of a slice of float64 numbers.

   Example:

   data := []float64{30, 40, 50, 60, 70, 80, 90}
   p := 75.0
   percentile := GalaktaGlareDATA.Percentile(data, p)

9. Correlation:

   func Correlation(x, y []float64) float64
   

   Calculates the correlation coefficient between two slices of float64 numbers.

   Example:

   x := []float64{10, 20, 30, 40, 50}
   y := []float64{5, 15, 25, 35, 45}
   correlation := GalaktaGlareDATA.Correlation(x, y)

10. DetectAnomalies:

    func DetectAnomalies(numbers []float64, threshold float64) []float64
    

    Detects anomalies (outliers) in a slice of float64 numbers based on a specified threshold.

    Example:

    data := []float64{10, 15, 20, 25, 200}
    threshold := 2.0
    anomalies := GalaktaGlareDATA.DetectAnomalies(data, threshold)