Number formatting

analytics.go

@@ -0,0 +1,69 @@
+package main
+
+import "sort"
+
+type analytic struct {
+	Key        string
+	Count      int
+	Percentage float64
+}
+
+type analyticList []analytic
+
+func (l analyticList) Less(a, b int) bool {
+	return l[b].Count < l[a].Count // inverse
+}
+
+func (l analyticList) Swap(a, b int) {
+	l[a], l[b] = l[b], l[a]
+}
+
+func (l analyticList) Len() int {
+	return len(l)
+}
+
+// Returns a list of frequency analytics for a given list of strings.
+func analyticsFor(ss []string) []analytic {
+	m := make(map[string]int)
+	t := 0
+	for _, s := range ss {
+		m[s]++
+		t++
+	}
+
+	l := make([]analytic, 0, len(m))
+	for k, c := range m {
+		l = append(l, analytic{k, c, 100 * float64(c) / float64(t)})
+	}
+
+	sort.Sort(analyticList(l))
+	return l
+}
+
+func statsForInts(data []int) [4]float64 {
+	var res [4]float64
+	if len(data) == 0 {
+		return res
+	}
+
+	sort.Ints(data)
+	res[0] = float64(data[int(float64(len(data))*0.05)])
+	res[1] = float64(data[len(data)/2])
+	res[2] = float64(data[int(float64(len(data))*0.95)])
+	res[3] = float64(data[len(data)-1])
+	return res
+}
+
+func statsForFloats(data []float64) [4]float64 {
+	var res [4]float64
+	if len(data) == 0 {
+		return res
+	}
+
+	sort.Float64s(data)
+	res[0] = data[int(float64(len(data))*0.05)]
+	res[1] = data[len(data)/2]
+	res[2] = data[int(float64(len(data))*0.95)]
+	res[3] = data[len(data)-1]
+	return res
+}