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@@ -6,11 +6,21 @@ use App\Models\StatistikoEvent;
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class LoadEvents
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{
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public static $last_query = [];
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public static function load($filter)
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{
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if (self::$last_query) {
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return self::$last_query;
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}
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$league_id = (int) $filter['league_id'] ?? 0;
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$team_id = (int) $filter['team_id'] ?? 0;
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$team_position = $filter['team_position'];
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if (! $league_id) {
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return [];
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}
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@@ -46,40 +56,127 @@ class LoadEvents
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// $tmp['exp_away'] = (float) $value['expgoalsaway_value'];
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// $tmp['exp_home'] = (float) $value['expgoalshome_value'];
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switch ($filter['statistic_type']) {
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case 'gls':
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$tmp['gls_a'] = (int) $value['gls_a'];
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$tmp['gls_h'] = (int) $value['gls_h'];
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break;
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case 'crn':
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$tmp['crn_a'] = (int) $value['crn_a'];
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$tmp['crn_h'] = (int) $value['crn_h'];
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break;
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case 'fls':
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$tmp['fls_a'] = (int) $value['fls_a'];
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$tmp['fls_h'] = (int) $value['fls_h'];
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break;
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case 'ofs':
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$tmp['ofs_a'] = (int) $value['ofs_a'];
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$tmp['ofs_h'] = (int) $value['ofs_h'];
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break;
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case 'crd':
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$tmp['crd_a'] = (int) $value['crd_a'];
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$tmp['crd_h'] = (int) $value['crd_h'];
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break;
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case 'snt':
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$tmp['snt_a'] = (int) $value['snt_a'];
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$tmp['snt_h'] = (int) $value['snt_h'];
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break;
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case 'tsh':
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$tmp['tsh_a'] = (int) $value['tsh_a'];
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$tmp['tsh_h'] = (int) $value['tsh_h'];
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break;
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if ($team_position == 'home') {
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switch ($filter['statistic_type']) {
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case 'gls':
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$val = (int) $value['gls_h'];
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break;
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case 'crn':
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$val = (int) $value['crn_h'];
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break;
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case 'fls':
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$val = (int) $value['fls_h'];
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break;
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case 'ofs':
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$val = (int) $value['ofs_h'];
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break;
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case 'crd':
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$val = (int) $value['crd_h'];
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break;
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case 'snt':
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$val = (int) $value['snt_h'];
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break;
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case 'tsh':
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$val = (int) $value['tsh_h'];
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break;
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}
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} elseif ($team_position == 'away') {
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switch ($filter['statistic_type']) {
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case 'gls':
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$val = (int) $value['gls_a'];
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break;
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case 'crn':
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$val = (int) $value['crn_a'];
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break;
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case 'fls':
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$val = (int) $value['fls_a'];
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break;
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case 'ofs':
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$val = (int) $value['ofs_a'];
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break;
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case 'crd':
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$val = (int) $value['crd_a'];
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break;
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case 'snt':
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$val = (int) $value['snt_a'];
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break;
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case 'tsh':
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$val = (int) $value['tsh_a'];
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break;
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}
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} else {
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switch ($filter['statistic_type']) {
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case 'gls':
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if ($team_id == $value['home_id']) {
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$val = (int) $value['gls_a'];
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} else {
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$val = (int) $value['gls_h'];
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}
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break;
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case 'crn':
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if ($team_id == $value['home_id']) {
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$val = (int) $value['crn_a'];
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} else {
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$val = (int) $value['crn_h'];
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}
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break;
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case 'fls':
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if ($team_id == $value['home_id']) {
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$val = (int) $value['fls_a'];
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} else {
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$val = (int) $value['fls_h'];
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}
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break;
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case 'ofs':
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if ($team_id == $value['home_id']) {
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$val = (int) $value['ofs_a'];
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} else {
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$val = (int) $value['ofs_h'];
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}
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break;
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case 'crd':
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if ($team_id == $value['home_id']) {
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$val = (int) $value['crd_a'];
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} else {
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$val = (int) $value['crd_h'];
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}
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break;
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case 'snt':
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if ($team_id == $value['home_id']) {
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$val = (int) $value['snt_a'];
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} else {
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$val = (int) $value['snt_h'];
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}
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break;
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case 'tsh':
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if ($team_id == $value['home_id']) {
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$val = (int) $value['tsh_a'];
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} else {
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$val = (int) $value['tsh_h'];
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}
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break;
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}
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}
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$datasets[] = $tmp;
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$datasets[] = $val;
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}
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return ['lables' => $labels, 'datasets' => $datasets];
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$data = [
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'datasets' => [
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[
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'label' => ucfirst($team_position),
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'data' => $datasets,
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'borderColor' => '#36A2EB',
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],
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],
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'labels' => $labels,
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];
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self::$last_query = $data;
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return $data;
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}
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}
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@@ -0,0 +1,34 @@
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Median
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Wikipedia
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https://de.wikipedia.org › wiki › Median
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Der Median der Messwerte einer Urliste ist derjenige Messwert, der genau „in der Mitte“ steht, wenn man die Messwerte der Größe nach sortiert. Beispielsweise ...
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Weitere Fragen
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Was sagt der Medianwert aus?
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Was ist der Unterschied von Median- und Mittelwert?
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Der Hauptunterschied liegt in der Berechnung und Robustheit: Der Durchschnitt (arithmetisches Mittel) summiert alle Werte und teilt durch deren Anzahl, ist aber anfällig für Ausreißer. Der Median ist der exakte Mittelwert einer sortierten Reihe; er teilt Daten in zwei Hälften und ist robuster gegenüber extremen Werten.
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Hier sind die Details:
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Durchschnitt (Arithmetisches Mittel):
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Berechnung:
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Summe aller Werte/ Anzahl der Werte
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Eigenschaft: Berücksichtigt jeden Datenpunkt.
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Nachteil: Extremwerte (sehr hohe oder niedrige Zahlen) verzerren das Ergebnis stark.
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Beispiel: Bei Einkommen von 1.000€, 1.500€, 2.000€ und 50.000€ liegt der Durchschnitt bei 13.625€, was nicht die Situation der Mehrheit widerspiegelt.
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Median (Zentralwert):
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Berechnung: Daten sortieren, der mittlere Wert ist der Median. Bei gerader Anzahl: Mittelwert der beiden mittleren Werte.
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Eigenschaft: Teilt die Daten in zwei gleich große Hälften (50 % sind kleiner, 50 % größer).
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Vorteil: Unempfindlich gegenüber Ausreißern (robust).
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Beispiel: Im obigen Einkommensbeispiel (1.000, 1.500, 2.000, 50.000) ist der Median 1.750€ (
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(1.500 + 2.000)/2 (bei gerader Anzahle der Werte)
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), was die Situation besser repräsentiert.
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Wann was verwenden?
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Durchschnitt: Bei gleichmäßiger Verteilung ohne große Ausreißer.
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Median: Bei ungleichmäßiger Verteilung (schiefe Verteilung), wie bei Einkommen oder Immobilienpreisen.
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@@ -0,0 +1,45 @@
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<?php
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namespace App\Actions\Statistics;
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class MoveingAverage
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{
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public static function get(&$data)
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{
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// dd($data);
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$arr = $data['datasets'][0]['data'];
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$new = [];
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$last = count($arr);
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$second_last = $last--;
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foreach ($arr as $key => $value) {
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switch ($key) {
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case 0:
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$new[] = $value;
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break;
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case 1:
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$new[] = ($arr[0] + $value) / 2;
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break;
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case $second_last:
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$new[] = ($arr[$second_last] + $arr[$last]) / 2;
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break;
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case $last:
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$new[] = $arr[$last];
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break;
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default:
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$before = $key--;
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$after = $key++;
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$new[] = ($arr[$before] + $value + $arr[$after]) / 3;
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break;
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}
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}
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// $data['datasets'][0]['backgroundColor'] = '#00a63e';
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$data['datasets'][0]['borderColor'] = '#00a63e';
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// $data['datasets'][0]['fill'] = true;
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$data['datasets'][0]['tension'] = 0.5;
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// $data['datasets'][0]['borderRadius'] = 30;
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$data['datasets'][0]['data'] = $new;
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}
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}
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