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Statistics Functions

The data used in the example neo_v2.csv is NASA's list of Nearest Earth Objects, sourced from Kaggle.

Count​

func Count(dataset []interface{}) StatsResult

Count counts the number of non-NaN elements in a dataset.

df, err := gambas.ReadCsv(filepath.Join(".", "neo_v2.csv"), []string{"id"})
if err != nil {
    fmt.Println(err)
}

col1, err := df.LocColsItems("est_diameter_min")
if err != nil {
    fmt.Println(err)
}

res := gambas.Count(col1[0])
fmt.Println(res.UsedFunc)
fmt.Println(res.Result)
fmt.Println(res.Err)
Count
90836
<nil>

Mean​

func Mean(dataset []interface{}) StatsResult

Mean returns the mean of the elements in a dataset.

df, err := gambas.ReadCsv(filepath.Join(".", "neo_v2.csv"), []string{"id"})
if err != nil {
    fmt.Println(err)
}

col1, err := df.LocColsItems("est_diameter_min")
if err != nil {
    fmt.Println(err)
}

res := gambas.Mean(col1[0])
fmt.Println(res.UsedFunc)
fmt.Println(res.Result)
fmt.Println(res.Err)
Mean
0.127
<nil>

Median​

func Median(dataset []interface{}) StatsResult

Median returns the median of the elements in a dataset.

df, err := gambas.ReadCsv(filepath.Join(".", "neo_v2.csv"), []string{"id"})
if err != nil {
    fmt.Println(err)
}

col1, err := df.LocColsItems("est_diameter_min")
if err != nil {
    fmt.Println(err)
}

res := gambas.Median(col1[0])
fmt.Println(res.UsedFunc)
fmt.Println(res.Result)
fmt.Println(res.Err)
Median
0.048
<nil>

Std​

func Std(dataset []interface{}) StatsResult

Std returns the sample standard deviation of the elements in a dataset.

df, err := gambas.ReadCsv(filepath.Join(".", "neo_v2.csv"), []string{"id"})
if err != nil {
    fmt.Println(err)
}

col1, err := df.LocColsItems("est_diameter_min")
if err != nil {
    fmt.Println(err)
}

res := gambas.Std(col1[0])
fmt.Println(res.UsedFunc)
fmt.Println(res.Result)
fmt.Println(res.Err)
Std
0.299
<nil>

Min​

func Min(dataset []interface{}) StatsResult

Min returns the smallest element in a dataset.

df, err := gambas.ReadCsv(filepath.Join(".", "neo_v2.csv"), []string{"id"})
if err != nil {
    fmt.Println(err)
}

col1, err := df.LocColsItems("est_diameter_min")
if err != nil {
    fmt.Println(err)
}

res := gambas.Min(col1[0])
fmt.Println(res.UsedFunc)
fmt.Println(res.Result)
fmt.Println(res.Err)
Min
0.0006089126
<nil>

Max​

func Max(dataset []interface{}) StatsResult

Max returns the largest element is a dataset.

df, err := gambas.ReadCsv(filepath.Join(".", "neo_v2.csv"), []string{"id"})
if err != nil {
    fmt.Println(err)
}

col1, err := df.LocColsItems("est_diameter_min")
if err != nil {
    fmt.Println(err)
}

res := gambas.Max(col1[0])
fmt.Println(res.UsedFunc)
fmt.Println(res.Result)
fmt.Println(res.Err)
Max
37.8926498379
<nil>

Q1​

func Q1(dataset []interface{}) StatsResult

Q1 returns the lower quartile (25%) of the elements in a dataset. This does not include the median during calculation.

df, err := gambas.ReadCsv(filepath.Join(".", "neo_v2.csv"), []string{"id"})
if err != nil {
    fmt.Println(err)
}

col1, err := df.LocColsItems("est_diameter_min")
if err != nil {
    fmt.Println(err)
}

res := gambas.Q1(col1[0])
fmt.Println(res.UsedFunc)
fmt.Println(res.Result)
fmt.Println(res.Err)
Q1
0.0192555078
<nil>

Q2​

func Q2(dataset []interface{}) StatsResult

Q2 returns the middle quartile (50%) of the elements in a dataset. This accomplishes the same thing as Median.

df, err := gambas.ReadCsv(filepath.Join(".", "neo_v2.csv"), []string{"id"})
if err != nil {
    fmt.Println(err)
}

col1, err := df.LocColsItems("est_diameter_min")
if err != nil {
    fmt.Println(err)
}

res := gambas.Q2(col1[0])
fmt.Println(res.UsedFunc)
fmt.Println(res.Result)
fmt.Println(res.Err)
Q2
0.048
<nil>

Q3​

func Q3(dataset []interface{}) StatsResult

Q3 returns the upper quartile (75%) of the elements in a dataset. This does not include the median during calculation.

df, err := gambas.ReadCsv(filepath.Join(".", "neo_v2.csv"), []string{"id"})
if err != nil {
    fmt.Println(err)
}

col1, err := df.LocColsItems("est_diameter_min")
if err != nil {
    fmt.Println(err)
}

res := gambas.Q3(col1[0])
fmt.Println(res.UsedFunc)
fmt.Println(res.Result)
fmt.Println(res.Err)
Q3
0.1434019235
<nil>