/* ProcessData processes Data from JSON request */
func ProcessData(w http.ResponseWriter, r *http.Request) {
// Compute Cost of Electricity
// Compute Gross Space
// Storage Utilization = Used/Total
// Storage Utilization Mean
// FTE * Federal Min Wage
decoder := json.NewDecoder(r.Body)
ds := make([]Data1, 0)
err := decoder.Decode(&ds)
if err != nil {
log.Println("Processing Error:", err)
}
data := make([]float64, 0)
for i := 0; i < len(ds); i++ {
data = append(data, ds[i].TotalWindowsServers)
}
var d stats.Float64Data = data
totalwinsserver, _ := d.Mean()
log.Println(totalwinsserver)
}
func main() {
var d stats.Float64Data = []float64{1, 2, 3, 4, 4, 5}
// could also use type directly like this
// var d = stats.Float64Data{1, 2, 3, 4, 4, 5}
min, _ := d.Min()
fmt.Println(min) // 1
max, _ := d.Max()
fmt.Println(max) // 5
sum, _ := d.Sum()
fmt.Println(sum) // 19
// See https://godoc.org/github.com/montanaflynn/stats#Float64Data
// or run godoc ./ Float64Data to view all available methods
}
func main() {
var d stats.Float64Data = []float64{1, 2, 3, 4, 4, 5}
// you could also use arbitrary types like this
// var d = stats.LoadRawData([]interface{}{1.1, "2", 3.0, 4, "5"})
min, _ := d.Min()
fmt.Println(min) // 1
max, _ := d.Max()
fmt.Println(max) // 5
sum, _ := d.Sum()
fmt.Println(sum) // 19
// See https://godoc.org/github.com/montanaflynn/stats#Float64Data
// or run godoc ./ Float64Data to view all available methods
}
func main() {
var d stats.Float64Data = []float64{1, 2, 3, 4, 4, 5}
// could also use type directly like this
// var d = stats.Float64Data{1, 2, 3, 4, 4, 5}
min, _ := d.Min()
fmt.Println(min) // 1
max, _ := d.Max()
fmt.Println(max) // 5
sum, _ := d.Sum()
fmt.Println(sum) // 19
mean, _ := d.Mean()
fmt.Println(mean) // 3.1666666666666665
median, _ := d.Median()
fmt.Println(median) // 3.5
mode, _ := d.Mode()
fmt.Println(mode) // [4]
}
func main() {
var d = stats.Float64Data{1, 2, 3, 4, 4, 5}
min, _ := d.Min()
fmt.Println(min) // 1
max, _ := d.Max()
fmt.Println(max) // 5
sum, _ := d.Sum()
fmt.Println(sum) // 19
mean, _ := d.Mean()
fmt.Println(mean) // 3.1666666666666665
median, _ := d.Median()
fmt.Println(median) // 3.5
mode, _ := d.Mode()
fmt.Println(mode) // [4]
}
func (u *Fping) CalcStats(row []float64, length int) map[string]string {
dataMap := map[string]string{
"rttmin": "-1",
"rttmax": "-1",
"rttavg": "-1",
"rttmdev": "-1",
"rttmedian": "-1",
}
pktxmt := length
pktrcv := len(row)
var d stats.Float64Data = row
median, _ := d.Median()
max, _ := d.Max()
min, _ := d.Min()
mean, _ := d.Mean()
dev, _ := d.StandardDeviation()
if len(row) > 0 {
dataMap["rttmin"] = strconv.FormatFloat(min, 'f', 2, 64)
dataMap["rttmax"] = strconv.FormatFloat(max, 'f', 2, 64)
dataMap["rttavg"] = strconv.FormatFloat(mean, 'f', 2, 64)
dataMap["rttmdev"] = strconv.FormatFloat(dev, 'f', 2, 64)
dataMap["rttmedian"] = strconv.FormatFloat(median, 'f', 2, 64)
}
dataMap["pkttransmit"] = strconv.Itoa(pktxmt)
dataMap["pktreceive"] = strconv.Itoa(pktrcv)
return dataMap
}
