R und Leichtathletik: Staffelzeiten

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index.Rmd

---
title: "R und Leichtathletik: Staffelzeiten"
output: html_document
---
```{r, echo=FALSE, message=FALSE}
# Deps
library(ggplot2)
library(scales)
library(gridExtra)
library(magrittr)
library(plyr)
library(dplyr)
library(reshape2)
```

Ich beschäftige mich seit einiger Zeit mit der Programmiersprache [R](http://www.r-project.org/).
Die Sprache wird vor allem für statistisches Rechnen verwendet - sie wurde quasi dafür geschaffen.
Außerdem ist es relativ einfach - zumindest wenn man programmieren kann - ansehnliche Grafiken zu zaubern.
Interessant ist aber, und das ist der Grund, warum dieser Artikel überhaupt existiert, dass R nicht
nur im wissenschaftlichen Kontext verwendet wird. Klar... Clickthrough-Optimierung in der Onlinewerbung,
Kreditrisiken in der Finanzbranche... das fällt einem zu Statistik sofort ein, aber wie wäre es denn mit
etwas weniger trockenem? Wie wär's denn mit Sport?!

Gut ich betrete hier kein Neuland: Wer während oder besonders kurz nach der Fußball WM aufmerksam
gewissen Medien verfolgt hat weiß jetzt, dass der zwölfte Mann im deutschen Team ein gewisser Herr
[Big Data](http://media-cache-ak0.pinimg.com/736x/91/fd/52/91fd522284b34b4e133656f5c222c57f.jpg) war
und der mischt gerade irgendwie überall mit. Ich treffe ihn regelmäßig beim Buzzword-Bingo und ihm
selber ist der Hype um seine Person ja mittlerweile schon peinlich. Aber das ist eine andere Geschichte...

Eine andere Sportart setzt Datenanalyse schon viel länger mehr oder weniger erfolgreich ein.
Baseballfans und jene, die [Moneyball: The Art of Winning an Unfair Game](http://amzn.to/1rIhHBy)
gelesen oder die Verfilmung gesehen haben, wissen um die Geschichte der Oakland A's, die ohne ein großes Budget
und stattdessen mit statistischen Methoden ihre Mannschaft zusammenrekrutiert. Das funktioniert zu Zeiten gut –
sonst hätte es kein Buch dessen Verfilmung über die Geschichte gegeben – in letzter Zeit haben die A's aber [weniger](http://www.sportstalkflorida.com/moneyball-has-now-failed-the-as-for-over-a-decade/) gut lachen.
Entweder holt die Konkurrenz auf oder die Wahrscheinlichkeitsverteilungen sind nicht ganz [normal](http://amzn.to/1rEnhYc). Auf jeden Fall ist die Sprache R eines der Tools, die von den Analysten ([Sabermetricians](http://en.wikipedia.org/wiki/Sabermetrics)) im Baseball eingesetzt wird.

Ich bin jetzt nicht so der Knüppelschwinger. Meine Sportart heißt Leichtathletik. Mir ist nicht wirklich bekannt,
ob in den Leichtathletik-Verbänden mit R oder Datenanalyse gearbeitet wird.
Vermutlich können die sich keine Mathematiker leisten. Tja, Randsportart halt.
Das gibt uns allerdings die Gelegenheit die Grafischen Kapazitäten von R auszuloten.

## Zwischenspiel -- Der Untergang der Leichtathletik

__Achtung:__ Ab jetzt gibts etwas Code. Ich erkläre was dabei rauskommt, aber es geht mir mehr um das
Ergebnis als um ein Tutorial für R. Ich gebe am Ende des Artikels ein paar Hinweise für diejenigen,
die interessiert sind R zu lernen.

```{r, fig.width=9, fig.height=3}
Jahr = c(2009, 2010, 2011, 2012, 2013)
Leichtathletik = c(886107, 885664, 872650, 860120, 853076)
Fußball = c(6684462, 6756562, 6749788, 6800128, 6822233)
stats = data.frame(Jahr, Leichtathletik, Fußball)
melted = stats %>% melt(id="Jahr", variable.name="Sportart")
p1 = ggplot(melted, aes(x=Jahr, y=value, fill=Sportart)) +
  geom_bar(stat='identity', binwidth=.5, position="dodge") +
  scale_y_continuous(labels=comma) +
  labs(title="Leichtathletik gegen Fußball", x="Jahr", y="Mitglieder in Vereinen")
p2 = ggplot(stats, aes(x=Jahr, y=Leichtathletik)) + geom_point() + geom_smooth(method='lm') +
  labs(title="Leichtathletik: Der Untergang", x="Jahr", y=NULL)
grid.arrange(p1, p2, nrow=1)
```

Oha. Das sieht aber nicht gut aus. Während der Fußball langsam aber sicher populärer wird,
schrumpft die Anhängerschaft der Leichtathletik. Von 2009 bis 2013 haben in Deutschland Leichtathletikvereine
`r (stats[Jahr == 2009,'Leichtathletik'] - stats[Jahr == 2013,'Leichtathletik']) %>% format`
Mitglieder verloren. Wie lange kann das noch gut gehen? Wie praktisch, dass sich die Frage mit R beantworten lässt. Dazu verwenden wir die Regressionsgerade, die oben im rechten Graph eingezeichnet ist. (Später mehr zu Regressionsgeraden.)

```{r}
deathOfAthletics = lm(Leichtathletik~Jahr, stats)
yearOfDeath = -deathOfAthletics$coefficients["(Intercept)"] / deathOfAthletics$coefficients["Jahr"]
```

Puh - wir können beruhigt sein. Bei der aktuellen Rate ist die Leichtathletik erst im Jahr
`r yearOfDeath %>% format`
ausgestorben. Also nicht unser Problem. Da können sich unsere Kinder mit rumschlagen.

Ist natürlich ziemlicher Quatsch, was ich hier mache.
Wenn jemand Prognosen für irgendwas über mehrere Jahre in die Zukunft macht, sollte man skeptsich werden. Aber immerhin: Wir haben unsere ersten R-Graphen. Die Statistiken kommen übrigens vom [DOSB](http://www.dosb.de/de/medien/downloads/statistiken/). Kommen wir jetzt zu etwas nützlicherem.

## Staffelbesetzungen

Bei Staffelbesetzungen gibt es ein paar Regeln, die intuitiv einleuchten.

> - Die Läufer mit den besten Einzelzeiten haben Vorteile auf den langen Strecken.
> - Kleine Läufer haben Vorteile in den Kurven, weil geringere Zentrifugalkräfte wirken als bei größeren.
> - Läufer mit schwacher Wechseltechnik haben Vorteile als erster oder vierter Läufer, da sie nur an einem Stabwechsel beteiligt sind.
> - Der Läufer mit dem besten Startvermögen eignet sich als erster Läufer, der Läufer mit der größten Willenskraft als Schlussläufer.

Steht sogar genau so bei [Wikipedia](http://de.wikipedia.org/wiki/4-mal-100-Meter-Staffel). Jetzt ist das mit der Intuition so eine Sache. Menschen sind ja nicht blöd, aber sie glauben gerne, was intuitiv und glaubwürdig ist.
Wie und wann wir uns selbst in die Irre führen kann man anderswo [nachlesen](http://amzn.to/1rIhA9m).
Aber in diesem Fall lässt sich doch bestimmt ein bisschen was überprüfen - jetzt wo wir so ein praktisches Tool
für statistische Berechnungen haben. Die erste Aussage zum Beispiel sieht überprüfbar aus:
Wenn wir eine genügend große Datenbasis aus Staffelzeiten und Einzelzeiten der Läufer zusammen bekommen,
dann können wir uns ein mathematisches Modell bauen, das die Einzelzeiten mit der Staffelzeit in Bezug bringt.
So etwas haben wir oben schon gemacht — beim Untergang der Leichtathletik.
Da hatte ich lapidar von einer Regressionsgeraden gesprochen. Das funktioniert wiefolgt. Aus der Schulmathematik kann sich jeder an die Geradengleichung 

$y=mx+b$

erinnern. Wenn wir jetzt ganz viele $x$-Werte und ganz viele $y$-Werte haben und die nicht ganz aber schon ziemlich
auf einer Gerade liegen, können wir uns überlegen, wie $m$ und $b$ aussehen müssen, damit die Gerade die Punkte
_so gut wie möglich_ beschreibt. Was das _so gut wie möglich_ genau ist, lässt sich woanders [nachlesen](http://de.wikipedia.org/wiki/Lineares_Modell).
Wichtig ist auch noch, dass es ein paar Vorraussetzungen gibt, um so ein Modell anwenden zu können,
auf die ich später kurz zu sprechen komme.

Wenn wir nun vier Einzelzeiten von Staffelläufern haben können wir daraus naiv ein Modell

$s=m_{1}t_{1}+m_{2}t_{2}+m_{3}t_{3}+m_{4}t_{4}+b$

machen. Das heißt: Die Gesamtzeit der Staffel $s$ ergibt sich aus der Summe der Einzelzeiten $t_i$,
die jeweils noch mit einem Faktor $m_i$ multipliziert werden. Wie groß diese Faktoren $m_i$ sind, interessiert uns.
Daraus können wir sehen, wie stark die Einzelzeit des $i$-ten Läufers sich _im Durschschnitt_ auf die Gesamtzeit auswirkt.

## Daten - woher nehmen, wenn nicht stehlen?

Zur Datenanalyse braucht man Daten. Klar, ne? Leider ist die Leichtathletikwelt nicht gerade bevölkert von Techies -
es gibt also nicht wirklich eine guten Dateninfrastruktur. Manschinenlesbare Statistiken über Wettkampfergebnisse,
zentral bereitgestellt durch den Verband? Schön wär's - und dabei sind eigentlich alle Ergebnisse sogar öffentlich.
Nur eben im falschen Format. Naja - kenne ich ja schon aus dem Bereich Open-Data -
meinem anderen [Hobby](http://codefor.de/muenster/). Daten gibt's nur als PDF oder als HTML-Seiten.
Ein vielversprechendes Projekt (http://www.leichtathletik-datenbank.de/) hat gerade dicht gemacht.
Auf http://ladv.de/ findet man zumindest ab und zu [BLN](http://www.flvw.de/service/top/downloads/leichtathletik.html?eID=dam_frontend_push&docID=1712)-Dateien aber bei dem Format läuft es mir bloß kalt den Rücken runter?
2014? Wie wär's mit JSON? Falls hier ein technikaffiner Verbands-Funktionär reinstolpert: Da gibt's ne Menge Potential...

Also mache ich das, was ich immer mache: Scrapen. Das heißt, die HTML-Ergebnislisten parsen. Das geht auch mit [R](https://github.com/hadley/rvest) aber ich finde es mit [Ruby](scrape.rb), einer anderen sehr schönen Programmiersprache,
angenehmer. Meine Daten kommen also von den folgenden Seiten:

- https://www.flvwdialog.de/daten/2014/mannschaftswertung9485.html
- https://www.flvwdialog.de/daten/2014/ergebnisliste9770.htm
- https://www.flvwdialog.de/daten/2014/mannschaftswertung9467.html
- https://www.flvwdialog.de/daten/2014/mannschaftswertung9751.htm
- https://www.flvwdialog.de/daten/2014/html-ergebnisliste9564.htm
- https://www.flvwdialog.de/daten/2014/mannschaftswertung9468.html
- http://www.dortmunder-leichtathletik.de/bahn/ergebnisse/e20140624m.html
- http://www.dortmunder-leichtathletik.de/bahn/ergebnisse/e20120628m.html
- http://leichtathletik-rumeln.de/sonstiges/dsmm2011.html
- http://old.sc-potsdam.de/ergebnisse/11.05.2011-Abendsportfest/ergebnisse-dsmm-0511.html
- http://www.kreis-offenbach-hanau.de/Dateien/Kreisergebnisse/2012/DJMM2012.html
- http://www.blv-kreis-wolfach.de/2012/ergebnisse/dsmm20072012_mehrkampf.html
- http://www.laz-mosbach.de/ergebnislisten/ergebnislisten%202008/080913_14_lage.html

Die Daten landen in csv-Dateien -  die kann man z.B. mit Excel oder Google sheets lesen - oder mit R.
Ich habe eine Datei mit den Einzelergebnissen, [performances.csv](performances.csv), und eine Datei mit
Staffelergebnissem, [relays.csv](relays.csv), erstellt. Die schauen wir uns jetzt mit der Hilfe von R an.

## Ein Blick in die Daten a.k.a. Explorative Datenanalyse

```{r}
performances = read.csv('performances.csv')
performances$age = performances$tournament_year - performances$year

relays = read.csv('relays.csv')
relays$age1 = relays$tournament_year - relays$year1
relays$age2 = relays$tournament_year - relays$year2
relays$age3 = relays$tournament_year - relays$year3
relays$age4 = relays$tournament_year - relays$year4
```

bissl anschauen

```{r, fig.width=10, fig.height=5}
p1 = ggplot(performances, aes(x=factor(event), fill=factor(event))) + geom_histogram(binwidth=.5, position="dodge") + coord_flip() + guides(fill=FALSE)
p2 = ggplot(performances, aes(x=age, fill=gender)) + geom_histogram(binwidth=.5, position="dodge")
grid.arrange(p1, p2, nrow=1)
```

weg mit den alten und noch mal

```{r}
performances = performances %>% filter(age < 20)
ggplot(performances, aes(x=factor(age), fill=gender)) + geom_histogram(binwidth=.5, position="dodge")
```

Schauen uns Sprints an

```{r}
sprints = performances %>% filter(event == "100m" | event == "75m" | event == "50m")# %>% filter(age > 12)
ggplot(sprints, aes(x=event, fill=event)) + geom_histogram(binwidth=.5, position="dodge") + guides(fill=FALSE)
```

100m Zeit gegen Alter
```{r}
sprints100m = sprints %>% filter(event == '100m' & age > 12)
ggplot(sprints100m, aes(x=age, y=performance)) +
  geom_point(aes(color=gender), shape=1) +
  geom_smooth(aes(color=gender), method=lm) +
  xlab('Alter') + ylab('Zeit')
```
Man sieht dass die schlechten aufhören. ~> Heteroskedastischer Störterm d.h. Standardabweichungen verzerrt.
Wir können also keine Konfidenzintervalle mehr bilden. http://de.wikipedia.org/wiki/Homoskedastizit%C3%A4t_und_Heteroskedastizit%C3%A4t ~ auch Testverfahren anschauen.

Ich joine jetzt `relays`@4x100m 4 mal mit `sprints`@100m jeweils an url, nr{i} und dabei nr in nr{i} umbenannt

```{r}
relays4x100m = relays %>% filter(event == "4x100m")
relays4x100m = relays4x100m %>%
    join(
      sprints100m[c("url", "nr", "performance")] %>%
        rename(c("nr"="nr1", "performance"="performance1"))
      , by=c("nr1", "url")
      ) %>%
    join(
      sprints100m[c("url", "nr", "performance")] %>%
        rename(c("nr"="nr2", "performance"="performance2"))
      , by=c("nr2", "url")
      ) %>%
    join(
      sprints100m[c("url", "nr", "performance")] %>%
        rename(c("nr"="nr3", "performance"="performance3"))
      , by=c("nr3", "url")
      ) %>%
    join(
      sprints100m[c("url", "nr", "performance")] %>%
        rename(c("nr"="nr4", "performance"="performance4"))
      , by=c("nr4", "url")
      )
```

```{r}
mrelays4x100m = melt(relays4x100m[c('url', 'tournament', 'event', 'gender', 'performance1', 'performance2', 'performance3', 'performance4')], id=c('url', 'tournament', 'event' ,'gender'))
ggplot(na.omit(mrelays4x100m), aes(x=variable, fill=gender)) +
  geom_histogram(binwidth=.5, position="dodge")
  labs(title = "Anzahl Läufer je Position mit Zeit")
```

lineare regression 100m-Zeit gegen Alter und Geschlecht - damit füllen wir die fehlenden Zeiten, d.h. alle LäuferInnen die nicht auch 100m gelaufen sind werden geschätzt.
```{r}
reg = lm(performance ~ age + gender, sprints100m)
relays4x100m$performance1[is.na(relays4x100m$performance1)] = reg %>% predict(relays4x100m[is.na(relays4x100m$performance1),] %>% rename(c("age1"="age", "performance1"="performance")))
relays4x100m$performance2[is.na(relays4x100m$performance2)] = reg %>% predict(relays4x100m[is.na(relays4x100m$performance2),] %>% rename(c("age2"="age", "performance2"="performance")))
relays4x100m$performance3[is.na(relays4x100m$performance3)] = reg %>% predict(relays4x100m[is.na(relays4x100m$performance3),] %>% rename(c("age3"="age", "performance3"="performance")))
relays4x100m$performance4[is.na(relays4x100m$performance4)] = reg %>% predict(relays4x100m[is.na(relays4x100m$performance4),] %>% rename(c("age4"="age", "performance4"="performance")))
```

Jetzt ist die Tabelle relays4x100m gefüllt. Plotten wir mal Staffelzeit gegen Summe der einzelzeiten

```{r}
ggplot(relays4x100m, aes(x=performance, y=performance1+performance2+performance3+performance4, color=gender)) +
geom_point(shape=1) +
geom_smooth(method=lm)
```

Und als lineares Modell?
```{r}
reg2 = lm(performance ~ performance1+performance2+performance3+performance4 + gender, relays4x100m)
summary(reg2)
```

[R for Everyone: Advanced Analytics and Graphics](http://amzn.to/1yC5RiE)

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<title>R und Leichtathletik: Staffelzeiten</title>

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xaXpygKB5dWVlFrb5mQOydwB7i0J6ubFjh7npdh1XXdKUdEAmoj3W5Db4m4QE1LVCapO1XgH2D%2FkB08JF83SNM9ZhZf5I9%2B7Rz8J%2FI3IIfrMb5LHcjByu%2BUvGUKxQ%2FkcaLYdZ40f8JWOkw%2BA4iEBtlYSmddP1HFw%2FdKtShd1YQrncW61ZeqsIAcmYleEIEKAhx1ry8ND6aFh%2F8V9VHtiPdBPGObFcRVTzQgcz40RO7WEpW0ba3k2z3i6zBvlL9xO4ka%2F1EVnLTSa%2Buo%2BmkNzrwWDyPcz4lWOAxAp2%2BTrKORXoPGvm6d5aKpzt50u4573rAOfhP1CUXfpbjl36l4XWpysmXBCr6PbGqqsTnSRvReJFj4Xl9rvYfHFko%2FqPrb9YYEpV1CsKxTiSrXhisap%2F%2BC%2B6uu%2F8CZVz1iWlY7fGdnKxd2eM7WS2lcof2ANfjrBHRsoomvoE%2BuiF%2FpXpsCFnJYVZIVk7UsM85PYeLXYofPYf9H42YsMdtUq%2FMTd79Ho4bf2S7Gq9PVRxDC6lKG1VpVBV9cvFXGr6oVycSFZ%2FauXWquCnKooTpFvcfy0YiWVX%2BI%2FD8UOPXvp%2BE5%2Bom3JHt0IXP6MxS5U%2FAqovYd3l62%2BltAxkkq6q7T7LR3xT%2Bcz8gICtekEZU28Hq3d9JkEXhcfclufMmmZusgqh%2B5ww%2B7k3Vwcd9XbHh1JbiELt3Fu67QYbvmRs%2FCg5by%2Fr3TnRlZXhu7ijl5o6qlZ%2BrQrpkGp3PTVTZFKpwyqWabnH%2Fce5T6T%2Ba%2BNhiV5b7vOiQWG1XNvGNzngqewJWX%2BO7%2BPupIVbDas6n8HPju1ZMXmrvkcJ%2FhQ1Ya89RaqlV9P%2Bu0DacBdfrcx5rlPXMqW5%2B%2FVv8cfLHuP4t%2F6ZgDdhPFR8DGRmRoMk6R6Yc9MgU65TdN%2BKH32y1gyJruJn9x3%2BQ4%2B1zUvkZZYoyqq52HfJR1T3OUca8Ss9VrVhgoR1nngEaUXl%2BEwnEj%2B5Lg7fIsNx%2FsEWwXdT%2BI%2FD8UOO75zqXdKad2WS2XFS9L3XHH%2FH3m9r4nePnO%2F7Ys%2Fk6qErLYy0lJ6agZeeN%2FwwccYGT1QoEPwJqvCIveWiGhaw0jqw4olppFhqa8b%2FC%2BdTSMfJ8SlX%2Fp%2B918A8%2Bor5fxP%2FNTuvM3TtoeHe%2FThlVC9NKslFVNwNc6blq86mEHcyuYlSiOqOvmLPKAkLhPzbxCP6j62%2B9f0qwwjHOiiWI80kKVVktH0mD79lpNHuEPZ9yx6Q3iKpAKUiIS%2BdKK4ZmEpg0z1gZ%2FjhD12TDPydq2A6DMfTF%2FCCSlRZO0fLXPJsLM9o5%2FJ%2BS1UU8jHffrIaAVo2H93qXRX3g%2FV5fZeaqtAxwpeeqH3Trtr4z%2Boo5qyzjqus%2FuvixZ5JszVn3T9bAuDz2jM54qngC1XyGupJhFtiO%2BapVZZeFqvBG9bLT64cJ8zEW2juBk3sMRUbTMA9ggQX%2FxuNExVKRpvwrklXWFA5ZaUTl2d%2FRNOseP4pZYB18QoGHvnMyyNx5aXCbSf9x47s%2BV9Vv%2FQ2nBFacueFU%2BfxH298aemcj%2BAollosRz0QwI9ygM56qmBNbdKZpA5nYorobKAtV1yzEXc4xMjWQ2Xzu%2BE7FzK0BZnfYN3ezIOaa7cYL%2BL91Kw6%2BwooX2cJdqES1Yl3fwkumIJzZeGJX6gvVmzcdfOOV0JL6h1jjlZuVAa78e1Xd1scYiWP5mRhHlc9%2F9PFYhwhrwqz%2BfBOLKP8AaClJVcxhKRb%2FbHAgM5D5bBD67tR1UFX8XUSS8JcpqS8QN340V4kWuHQHNRnlvBhKfbH7Vr8H6fkKWPUwq6eGeuYgy1ZNqcPGOz6%2BR9SZ1V7of6CvfPi4Z0Y6zuSjamFa6bv2XhUpNzRDI2ruGXdyLNC1U%2FVs9fxHH4912DsxkOnMds9tPgd%2FPNEpvw99qvKrPL3r8FZaC3Vl26BE558ratV5h5brrxqrSjZWe2oL%2FbGSS62BPrSGWgP31eFR1ZYP7%2F23Jv5tWjqelgG%2BMe9VoU1C5X6i5fIfCh7GYRjtwIM65C%2FhnJc6S%2F9XnldPHdKgJoWtn6q6WQa0qq4yZuwG%2BY%2FxN2PGjBkzZsyYMWPGjBkzZsyYMWPGjBkzZsyYMWPGjBkzZsyYseVnpcgqGjNm7EYTNd1MEGK0kaUITo7BMiNUZj1D6RBgIRmWfxAO%2FFpHr1Vl6qOHh2WCxTJWwxWpzzycMW1rU6TJ5QMexTRpz5cqLpp7Tvw4WJlhBGp%2BBo7p79qA4m5Bmngs%2F5fXJWZFOsN86VmYRFb3agsKnuuswqLabGc2wig6q2t%2BjKX3TfZN4tc1P6Y0CV1XT7c%2Buvjor4tXpcgXo5daH5QVaUf8fJhRy0f8ShZltOdLW1lj1bW5cG1qRVxmL77HjjgmvE9R%2FzPNIBmL4pz2%2FS4zGXS56nQyJ70tVuA43%2FnhhXCDWLVTsHLHWSNKIav78VHwuOp%2FIIMipCx1YtdARq2zGvoUS986vnXcXu35aXmpqlsfXTwuQ3eviwCdg68rVx9cjSm%2F72K8qp0Ka69yLaEXBOWD7i5NogZ0pBfagNRNqJFxxsqEFfWPwLL%2B09uwHqe3jaYjJJ1eWCSe0SKcjaeJvbvxVmCVVIo0mRsZbeHSfvd3JVC1cDG3mnyFKyZVeNRZBYmKOKvFKsJysjg6o%2BzmrAAX9OBrN1HQg9KAVKq66wPik8r6uPCT1iQBH4jbAtCO9c7Gmb8KgVM%2BfqdTH%2Fyu9bWEasxz4a06Nd5xLnewJl9aLgT0WD2Vqon8Ot6IYncG62CUwRrSIF%2FgCGtkgnsnosow2zrYZMcO3HPU%2FiPwqxhxq40cvmkhMjI00%2FaV%2FG5xiVySOYQtkapLVRdU5HNTVb3sG3VWD28VlUA7vFWus3rbPl76oT28l06y2%2FaVj6ru%2BnC8vD4Cb%2FWFUMG%2FT4XH2hcKkKBASfsT6vpA4Buj1ydHk5BqNakbb68qVa4%2BFe7kXqsqkWWbd4sS5D7Nq8qnh9fhq6ASUbCGlDUMzYSvyueGPCTnI541tkrS2bvxqGrS9jZl7inw218N%2Fe75%2B2RdsdMygrCWQjrAh6pe8igqsjo4SsrB0VkV1VPprIau8tLvS92Xk%2BgMXVU0X8ZyaqQIe9z14TWS14fjYceRL%2B1585dWnQL%2FP5PsR790%2F%2BRHvwQRrA%2FU9YliQHhQVZ%2FkNwJPM6d8qumNqgkP%2F0mw8lE1zh7dUfyzR3fECSoZKDuzd6IZZrcwKtdQ8FVVjzwQWaTGlIj%2F8bZ2hrK8%2FmKhznTC9jV7MiHrLH2pir3s0qaWj5Q6KQe3zmoyT2uZzqoVE5InEAzWijBJLnFcKMQlb2pRH8sWpuLEltWH42E86rbr1I2LlGV43EFndIv7J6NbZDvXuNsHHvmrqvpgcshjZLvsG56mlmoIoIpQuUZV3SSUF1VlSr1JNtlU%2FLPJJlp9qqruehS%2F3vUolXr3DHZmdah6zyC%2Fm3sGfdu%2F353R5d2ebHiTzlX1GloX7%2Bisiscu11nlsp9izM7nFX8lu4aOEJeoD253wLdAkNfHqb%2B4Uzne1nzFunMl2j7LFl%2F1byOn%2FJ452FykRVV%2B%2FwUv3dqB93QSKHKdW71RtRSqWnUDmQP7T287sJ%2FL6B3bIU1yVbtd284wVNPqYwVwRMWR1T8ALqz12mMbzupQde2xzeesGEaAsoCZ%2B7I7D5y8HqqKTF%2B5qaqrs4r5U97TYn24Ui%2BMSl%2FL5w4rGd%2FUaKUyJBf1YbWjaZALrVXVx6m%2FuFM5Pr%2BN0IR9NxOqNnLKB6m1enX53u354H7lm700rf1vxKgKMUqcrYAU0Qq1jF6xzJjjwH6jGB6jaR4AQ964gTXA%2FzUUPFDv2r6dcu8vxEe%2BHv9Z62vgq7WUlzWibUsKgIsTMuWnqp7OqjUswt%2FeP%2FExJx8CD9Nqw5NRlPrAcBdU67668PbGCiq8837RST9I1ded8qspOrT6urVcqfn5%2B%2Bj4So%2BqOjPn0bQXVUcVbylY8MQuzMOLvLHqKgJ%2Faotc974YP33f44mOxUd%2BQXtZI8ZXERIvM6rq6ay2vyHKvOOP%2BD3f70P2ZwTFdQkq1P71dV%2F18N6uK6tRZeuDNcJ3rzr4ys9V6Ybqy0upij9VnFeLGzFqXMfGUzUvHTyrAXo3UF7W8PeqPBMsU6QUvxVqiFVVOPzcEKrq6Kx2LIoyh1%2FG74dfFt%2F7adrru4qu7qseXp%2BqpdYHE1IDGTUeXnak9k5sPkfXuV36Z4X%2B9Xf2vHMO%2BW4LelR1Tz2KPy8Pk9Pb%2FXrGsmM%2B2v4Gzp8YYrYjN9a7Y2eS5mu%2F%2Ft6bVJ1VlwJqkPepKi1UPRVd3fro43V1fa%2BjPt2o2k7QrQ3Z%2BA4dnVsNXeKUBzolL1%2BbDK7rU%2Fd6XTZELtRtroeDrMTsRDdVxowZM2bMmDFjxowZM2bMmDFjxowZM2bMmDFjxowZM2bMmDFjxowZM2bMmDFjBeb6o%2By0Pt5KEzRo61BQha4rq6dBmzsnnUdfrlhLodptTKuFmDVJLn0sd0ZGdafebSRTli2lRY0tO8OVCkMzSS0VYAfPQuvfUp3VeDG%2BiNKTVLFK3ZU7aM6KnDijC0TqWfiqSo2CGxdvO7TnwP7e2RBZwpo1jB9Nss3n5Eu3rMmwTX%2BdtTuaqr4lULqUjgBkOUvuaJT4gG7ntEQYW3qvxWdWaOgsrn8SpSdDAxm6CnAhXk3WKLNXSzKqWKU%2BVVGCxCXi9rBegxCbcDgJy73WXiOQzpbYhBUUKy5Al9TxZ%2BpD6nolyZQaBC1QcgsKloK4S79Y%2F4gKvIWCpm7TwRa3Pr271z2L1ZTe0ajwxWVTFnZSl9cVo5JMl3qq8r3WNSU5VVFTIKKhAlyMV5HVq9nKS9X2J9xomXApF8O0Ckq3lHKYaKHfDZ7unU0wykYMos4oZh1fpFI18QcvyS8vpwJH7%2BQrGPOqi%2FX%2Bo7EOtngJHDEi6L%2F%2Bs6hlU%2FD6CzWFkAqt1jpU9fZmf77wPSuKNxTJURXJp6cCXIyXk7WyVEWioaCnc%2FzgvKzvcsbf3lmuczj6G5UcJoZr7ez5%2B7b%2FraojcFPVijWdBE3gs1SqYquqRNyKW05noTVR0lxzxxrtADVQQkBb8QA4yaiRVjGqFKqipK%2BsJvamNFdzeR5bmse%2BCp930lWAvfEyslaWqrbu7DcFwcI3lIBq78TU0NTQ3olkXn5ZZrftQ6mrX4LAaDthLszH6iaGTa4KaZ0gHqcWFMJVlqq6Gha6AapXcHpzA2A%2B9y%2FWIqTUJ0%2FySZ324drbsueLHBt5BYmKm4AEFqw6G89CemT1w%2FuTtfJUjRf0n3HCo%2B%2BdPdC5iq1iBzqFgrAi%2FL26%2BW2rL74B0S0vUNwd91fBRFHzx7TNkOL%2FNcnu%2Fh83n6q6Ghb6qhf6AW3lAmD0F0j9pR0lQZ3a81a10iHJSLzUm9e%2FpRIXtfdACCJRo7YAeuPFHN6LfOvfklTWB7%2F%2BLe%2BzKk9V%2FV66%2B9KmNvy6qa37EiHI7otDd4QCa9F8aKImBUhkNY5MRVngeRKRjifZxqM3n6olvSrTPEMnQK1sAIyEG5liIXcATLtXVxooBCX40ttDEN%2FmjzQUr4MXg4Hm%2B6O5M1y7%2BhSTD4SzpPvQeOGt9Pq3vM8qjaq9s6e3UUa80qgahTzx6W2nt4UfjhK6g9DfgxxnP9%2BJzB7D%2B6ikuB8SXrEPKUSKfYZ731WOqtaYHXyNUQitm8%2FVPUMnQK18AIwZdXcATLvXglGwRa89kT%2F%2BeCvWeKUNIr7b%2Fpdn%2Fd3kUxHVC%2B9P1NKoauvk14gNLtTBZnFqW%2F3om1ngo8BHzaT9Q8Ps4eeEk20%2BB3vo%2FD0prRSwxlqvJdmdv6dQCbuMB%2FoqR9Xm3F3rB8CVyAAvlwC4OANMFwHUzQB3gbokPzh%2F%2FPFNuSlcxK%2BrEeSjELUYLyOqN1WHZmQ3Jza0EBtcEGgx7wp2AkmSGGaURUlymJjHPZB%2FvTH4d%2FbcXPJXS9YenlZaBcRIEBNL%2FJxn%2FlqJg82hnSQGbaTkeLeLydIgJQWcyw1%2F3Rlgan3UVHVUHIGB9lFKWq%2FoKkg%2BKlHdeGtMRlS%2FEMAf7955hpNV1RTFfwKhLYYpkcO0DmK%2BrmlBqNnzfHFgwb9GrQUbJ8GfH9QrCZjh5zReUbZ5C7R4i85IKZIe7iPEdF6tlT9AXV4ZYEHVUupTiqpxGahqZ55COsVyPGjMhsoZUhVuEYUC1cp61BaU31DOpsspEafyWxUrlW4L6tJN2VgB%2Fkghh6a0uX8w5o3nSQ%2F3gYmUcgacyw2v73NLz6HVpxRV41Iy8MtUCVj9ZwDGtNqzRf0TY8aMGTNmzJgxY8aMGTNmzJgxY8aMGTNmzJgxY8aMGTNmzJgxY8ZujsFqucCyqMe0eRbGjEmI2nhR%2FHG6FDdmTYPuyzRFFsxGn7Euw%2FqXMzQ8LucGaZThkjub4WXQkmmasrIxYyU5%2Bbrm7ksJ6coR7obNoDIUgX%2FNSo1DlOxuxtV32QT8D%2FgMRcKk%2BWOQRvmKgrSGoRNgjuA1djarJcu%2FXfgzuKpUq%2Fx57MRgjX6dmqhhorKyW1sW20ofqz5LDw%2F327dsPDLvLTS%2FWYrnS%2BJoZ1GwrvZM08R4nFand95Qtux%2B0ckDH00N9c6mvpCPkbgwbCAzmsaF1mHFiklUiBnIgGh3SqwTbbyorOjBqK2ZFHhJTaTVuaW4fJ2rVTd4y4ZTvbN%2BMp0C35UdP4prB1cxaw%2Bl%2FL0TQzNd2eM7Wa2VblPeAZe60pFBF%2B0fZbpYyll6%2BDgsJ4J4iTwNEms3SxV4kZ2D3sJd1vkks6V4viSOdhYF67RnmFQjd%2FuTO2%2FwH8n98sJACwjIeqFfVtDa923hbnyiHUjWte%2FLaB3l2FpnLV5UQW6rry2HDCmD4JavQB40nVsq1Dl4S%2BPFxovn1sGysmoFPsUaISwHAaxWdMs6Zfmw1A%2BXwnESbjglb2gUssrpU4QoMuhcUYfLXulhaWfp4fEa7bhGl7gzgLN2s1RVRBlWuGySUcjqhaesV6Vj3e0ZJZJV4OWqZY5xqTSf0p3Cui%2FtvlW%2BEA2lJIZf5p9RFSHC5LQ%2BvLX4EcnVdNd86SDXLMibAkc8FnTfQ%2FelwVvUeFRYbWZ87AO3PKnET9qhr01U2QJ8KHc6zNzjX1jaFQik0%2F5qN3ewtLN08bzlEyC7CkFY382mqnDZJIkaXnhaq1Kx7vakkdXB62qseJTuFObWYPAzFD0R4l6xD%2FEcf2xssSvLl2W7H1HiG9k4HGc4VguHkSv%2BOU3L7wHrL6OqwAeejwCWb%2BgxNHNunWIUmwyhHut0WNncjRfbc4r9yfzXdkXAbCtAXIySZbgcLOUst2PRruI8pyiGwmn1SFZZqnKXpVHDC08VN6Nh3e1JqZE%2BUSVk1SNqVdWGs3w7DEiv2FtiyMLB7rnOrMcjysrG4aEZHKvzAixX6XM3TlQZMQR%2B3dTpbRAmx7uyeycgXK2W45%2B%2BtwuSYu1CS0oSvm845SW3IQ%2BYhYAklapRl5uoz2o6qYcvplJYKSRTeaoW3rN%2FDOSNp%2BsQUrCFRFVnX0T7g%2Bi7psZKz1zR%2FeoStapq306uqNaWU1U7frc%2FtvdPibxomHNz%2FRdk4fXGo32TDjbOKFQNPBbN1V%2BeNMnv3BJiNfj11BbWIKNeTguq9vhOjCU4UWVqRrw3dG%2FnpO5NedvTqepgKWedW6eHL6bS0MzH99x8qrrvwT8G8sbTqUrB5uV13Eenuv3jTO%2FlnZWOF94vfz2jQ1TcoGhkymlmSLrU%2BGPHnoH55tniRzT2jCy87vjz4fWOsmCSRNWew3sneP2jykdfcC81%2BOKJQG0gK9ckalbUSKi8ijPVYQ8ihZAqxakcLOUsoftIv0rSta8PyLiFVF5ReaqibyZJw4kXnkpVGlZ3Vx%2Bn%2FcNM52VNuPh%2BA4%2Fx1zN0oqK9kxCPHLK7QanjNvTO2sFyzN13yaTKNpyNstW%2F7b8g0PKdXDBIwEwlTKoaWDXqkmOoocbnk0CgSEjDgwRai7p8Tlbcyys3V02rwx57%2FK2mqB4XY2ln6eKF4Cq8zuqkyLhVmqrcN2nDiReeGqvQsXqKiPpk9SAqzAw%2FFa9ndOTHWPWR7Tju9cydT6mwWM0I7rA67%2FRdMvzJjV3ZcF6wuCsr8sc%2BwfgTuEGU6NtW2ptF7Xvi5uELkwK0REIuyCaoHi%2FF0s7Sw%2BM1Np%2BDqUHjcnhZI9yVFvd54Sn0o2NLURR0yKrzsqbgfq0AzvC2%2F63q9YzHxSEg7Jk7tkN9HsqD7p0YyHRme%2BY2n4MkTqf8HFZzagv%2BuQF3dXCYWil6xYH9fPotlHcP7Gcrbh7eTVZqxi8fZCtVj72wlLMEyn7Nr8Tb6sUdsmmNl%2FM6X2l4mqMLd7XqaHGfg3I%2Bqemngy3NeKvrvKwput%2Fdt9p50MZSBD0hIOyW08gdBsOsOgX4DopKL2zMFMpJa4fUDsNWQLlu5d0VNxfvNDc14%2Bc4q1r12AtL0UrmKP6cVXiaevGNMXedKV7qoFyf1KOeBvZ6yKrzsqaoY4IGqKkyZszYjeh2qiuHNmbMmDFjxowZM2bMmDFjxowZM2bMmDFjxowZM2bMmDFjxowZM2bMmLEym65O7%2FcNb59Dlp1cnvWvuA8FoEYxnda02A2oVVr3SlbMmlyuNM3p9MYZTaf3%2B4YXZ3EZMXp7JrOdWZ36VAp%2FoyzwEUhYfkStC3XBXMGdZ%2FT3fXj%2BPr0rWbHAAuhkTt7Mrobvb5ETbA24WrRYK0al01sani9qw%2F8rU34yL2pW7vK5OPNKG7tyXq3b7%2Bges9SJXQMZSn1Kxe%2BdoOkq2488o%2B0yGtSwJqNK3aPrpWoUBU%2B19k1A4tGvBCMw4BPgpU%2FfW4n6U4nK97ewh4ZY00JeBg11evllhR6QXKfXwbudXYXvnf1kE67f%2FGQTLrClly%2BEoNR4WEUKomYndtHrT7tftKaTHYtIiiR76CUQO5VrGOd0jzfegd9tvIPFkXzy%2BgidZHthoQbeirVeo9QfhcebFqLajkWnhjUcyoum0UJyXVe3%2Bqw9qF%2B5mtHDU0G8E7uGZij4MAggIB6F2W8eVdc1xxdxfwssH%2BsfX1zXbP8CdXqdy6p1eh28%2B5Dju7K49g7Xb%2BKaPRxZaeX3zn58D6eICg8SMCusPVaM1fK19pTyhQCoSpfYqguz3S%2ByBpvejQ%2B91HpN1tBc9xh6QxTlTMP%2FscNbVfUROhd8awUqXjgitpBcV9maXA0uqO9YVGpYgTULzlNrvUYZi3VcHZQx54MgrZ6XcSeO9m2%2FEsSjL%2FEHUb%2BdlFXYlaMqq0HJvUROWteuP1%2BoGlsUI4wNy400%2Fjq9Dl4canzCFRY1nUwQykf5rYEMEnx8AKmtwsO4wkJXezZbdVFGqb%2B4A7UuMYq0JHFGyA7tObTHAodJSGcpXPeY1Q7N4J41sOofPkPDfyPHw3X2WAHcWqHpJBGfIyo8yAYZHgPfkKtzUsl2uTFUagQ%2BSri6bRgRPiqnq%2BPGI4miKK7pCsnpW0amaMRz16n1NfUc1SpqUcq8liaahugm1%2F0mUOqI47vniptMrtNbGt5RlOGqMSr81BCrhyCvmjukGp%2B0FY9YfdNJlc6wwFsFUYQ%2F3nEQqFG9Wg1I6B7z%2B%2BT33ZmV1Qfx1p5WtopFc0KSBLxD1Fo5vulKVEu2ywurogaX23R1gZ2KGXChq8u3uuoLL6lP7%2ByxHbQsLmuhEFVkiXODT0hNZx0RND0tKe8r2L%2Fo%2FZNoMsF%2FuU6vg3f3L3J8V9ZRbj23DkdJVfkBO5OYJ6oSjweEaiys1Bl28O5m8cez%2Fs8G7Zlwv2WPrKj6JBP14LrHVgxHVBxZ8XNCWh%2FET4cxcOdqOgT8mJuocvyxHY4ibqlUVVNDZ5ycGnILx3Zlp4akQezbmLEYmcKYRugSQyvVliOLW0qWuPJUZf0ndjkt1DMHCUTubajTu9R1%2FXV6Hbz7kOMTtpg%2Fzt0wu5UglG%2FL%2F%2FcJotLq4w5o1XgR8Kt1iVn10AwmkxC37qcdi7tflDU01z1mtdDAMDeH%2F2vXnFXVB%2FAwh7ddEEQ61PjmguSHHM9qsWR30C8XHiue2lCooUdVVvPkU47nPPmUXDKoHXWmu2F0tGMa1V4IelncUrLEhW1D1CvU0je0Arz%2BvCOL4wYsfPqBOr3FaRaZTq%2BDd%2Fe6KnwUXnPg3G3lfJRYPu6WktCqj1793TGBXJcYI4HB0825lAkmmKSPJad7LDLAuFWIqj6ID92OLghjMAGPNYF62COqCm%2FrZ4X2TuCj108rqalRyuyTrRCS7yCCrhCVA6IG8xHFLM7My5fFLSVLXPm00u5bU19g%2FXmKqyub%2BmL3rblfOYrrNJ3e0vAio1Wp8iuH586OYXCSfbJJrbjo6B5b800sQqqPLt5OdBHxnODHd6oFSJcE2wRqlOa8rIUH%2FKxFiQy675z6EoWeTNLNEt%2BADDBEWCipa4%2Fatae2uJQLhU5vF1Wn93uGF2dxdXoKUuged2vVp1J4JxDWdRpa4Fua8x7Z3jMnn6V63Xl5srjXkyWuPFWFjmhOW7mm6K71dHq%2Ff3gx4yBjl2P9q%2FVdRgvdr9VCqCJdAWFbSha3mKz6RNW9W2PGjBkzZsyYMWPGjBkzZsyYMWPGjBkzZsyYMWPGjBkzZsyYMWPGjBkzVgaDZXN7TCsYM1ZICw1dWVC6QQmPPvtzn72m%2F6DGlfrg%2FDNqWUZc2dpzuOL3PW0xqhwm1PqMVtkZlcJBHsm8P2tcK13GNnkOD%2B%2FvvpO%2BHbsxisPqZ3TdT0lXFzf2Ye9sfDEIq%2BytySDoqfXOxj4kXWUMnTfI2tidv1evSQi8FGU%2F3qbRAUwjleD%2FPh18x%2F%2B98wrtj9KtsQi0Dl3a0gpwsU01Ta0CVY1kSfqyoDYx7f3UoPtlHse8f1m9R%2FDw%2Fu67aO1PoG6H1DPn1a1SOl4QFddrXydZdXVxI%2Bzh53D1IwoQ4kq%2Fh5%2BLqB0y1nilmfHrbD7X%2F09qqq4F2cz1D9hjWZ2y6aaDrJ0hldqhK%2FBzWi%2F87eze1wtEkX3P4TKeoAZBHINZDW2ZlK4AiHASrmMPI8Y8J3i7z1NLeJafYOWmKldbLGV8kY824rdC%2F0gp47aka2qVyNlwmbtEvlUoMnF6eIeoOenV0skqdHFhmS8s6hEKDBIdWlu%2Frwkwzz797NOop9acFxXzf4yBhXhOKWbvxIP7w0Bx1aiHzdH%2BRlXVnb%2BXdxwYKLcXuGE7y4scE%2FAPPtJ8VIYXY3wC1HcHMqDG9xK1ZWlUXSrmIV9clVcFBBkPR3sKjw2n6F2BrF7Q2wWdBd2F38laNczU7bh0fJGPNs5vWUjIzsjr339h6b0Ov6zb%2Fv5PQL897auEuMQLbXleYWvkvxO6uPFF%2FC6%2BqNLFdfSL7nrgrgccXSPZpbmgaFd2%2FCjr7jrULJUd4zYeyfVBk%2BvfiUrnwo3vRmGcFuLeXAsI4oJ3qfhX1%2FSmZXg%2BdqE85%2Bs%2FfP2HttQmaV8WvnGGeusMz%2FCUyV0LZbJSX8Q3CKkRfCYgYxoqj2sV1oA0ZtTxyCxKIKtVl%2FjcGV%2FEaJP4XDEWQaSE7u7oGvmVv%2Fm1pfe6dVy3%2FS2JTFzPnF7n6n4S1FC5aHLDySp0cWEwr4NmVOriOg%2FfTVX5xTsWcdQ%2BtWV0i3W5TdnPWcPWQRE%2BhhiOgOGr%2FikuFCz5oDvJpu9DAtpiHXfbakUHKfjUV7DivsUfzw2FxkbTq0D%2BczSNomUUojZe5LVROW9JfTTIeDz7k9Uu1UI%2FopZC1cLfq%2BsjiJokkRXlSHjsBi54OSyVzGEhrlIIVOhwZxRkNbr%2FiaX3%2BnhCt%2F1lio6P%2FAKyLkw3A0ClKu%2BeChVBc2R1dHQDjwUeU%2BviVlVh4IsHUlV8lo9JCXgYR7YH34MkVK78w%2Bv98a2frJvCG%2BudFSNfnPlJRvdNwoz2X1j1QGb1b%2FfZwlGwSUTN%2Bn9Jsr5JP3z3JY6%2F96Uk23Icf%2BqPFwmlnrkZe5yfifTMRdTbTsS43Bt33pXzsnEYHXHpP9UD7eniRJ3YvX2tfQdvlS9g06OqQ1SxaQmdrPE8Uf1Se1x5WcfpxweK7xRGwZryURVKa2j7yvuc7a9eP1VzOtlFh%2F18HV3c1vxWA%2FIAFSlafEjdanNX9uHnAguRfOlIJ3981O5vkYL78j1kfIPfvGoggyPi%2BVTn%2Fw7aJZ9P4cgJVwj64SGgTiMex3fMMVtpf7xIKL3wU1a9%2Bdzmc6z6hZ%2FaWz3UyYiKgakY4zefs%2BeVMf8HyLO%2Bhf9UXUEgR9Tmj5vssv0zwJWlqkNUGNe7%2BWxSvd2VQ1Y5Uf0cXFYj3Jug8E4H3tOPavzLhzG1L%2B5zjmwAolKVz8kLJV5zMZOujm5V1WrGD6So%2BCy9eH3%2FhWaXtH9X9nxKdUvYGHf%2Bnq1wlO390OdTvbNtLPA8nII3Fg881gaP3%2F8KiIcEyLuv%2FxCdhdVbB8NSPCaUgKJw%2FQf3P7gf7wbJJ9vvLLDQmQWJ745czTsO7O%2FMBhbKNapiSCTkM8cjuBFRkzQDXOy44hn4X4HvpwcZ1z7IL6d5d%2BNPug2nckQNOakf7wSXF1lVRF3q4JgJzonD%2BqSiQHPK5ehd2cG%2FKydVYUx92%2FsMaIOacsxVsRXd3%2BcnN7o6urpzVXxrGylI%2BoBAp%2FThiPFo306%2BcR2eI3%2Fom8%2B1wTiM73mty63gWLLHz8WxI%2Fa2E3f92Qq0MSGV7Z2JxhdSJzfi52bIdePXkxu7sjCK%2Bb6%2F3XAWpCFXiLrDllcrTm3ZcLZco6qgmi2HaW9EJM8Ao%2BPyZ%2FrZoMuFJZ0l77zDkPhtyu1WgF2UzLGcmXLhdyqyylrefb%2F5eZsrE0y7Ck6%2B5G%2FndalqBdp9znh0h%2FSVk6KDKWxTn%2B90dXH1qNp4sfvS6W2gTgd5S8xVqgWgT25EYoNoZn3ra7w%2BzjYa3g%2BddcBmVO8l%2FpD4w8B7h%2FYUpiA88ZCuuAeS%2BtsObWoDvKRGzR9jwm1VvhvDr6vsCKH5Y9%2FyO7B3FYrtOJ6CQGRHuUZVQbX8Jo%2BpgiDJ5xrq0cs9bvBx1TVdaVC8iAj5fad6Duo6uWvivLaR3S28xMqTuwnOmmwqJ1Wbj3rjYXirV4W11A5G1mRaurh6VO2%2BBE5Sk3Mrkogjq%2Fn4HiB3A87AemdpOrewTUIHhMBx%2BL%2BedI36TdAN%2FGwjkKhe1idHmd%2BjjCpe2nTbe42c2NU9p3JF%2FbnqUpO6bp0OUfkkYWRKbMQwMiWfrlTail6KhNTdATzTfmenP9ZP82YqVdde88Y%2F%2FJw6rL1OooqelK4rm2%2B2W%2BBQvlXSc5J851GTu1InXedW8xotTClIDZ1Lv%2BSQng1tWcvVbrVcsb80fVmp61bTRL0LzmjJzfhS8Km66jtnogXVLan7JxCFM2HXoeZNqAxErWijfQcftDFjxowZM2bMmDFjxowZM2bMmDFjxowZM2bMmDFjxowZM2bMmDFjxoz9%2F2u4KsiaNO1gTOYkgWLZCarynNZV6uyy6zRcFwRkdJzX1iee%2F64%2BhRBIyIR81S6W3CtZKy%2BHR53neZrO8zLFT0NXdhn%2BH9PyuTN2Gx0sqydraWHlz8rYyAyt9KVXs7%2BJjBQLTzbfr0X0PUh2BQokTLBsuXhJvoED6LqNFxsvhph9BYoOXl3o2vjRBNN4jJlcMxzU6Azmya41r%2BcgsAakBv9R0VQdJkfnOUHUeV6O%2BLav%2Bv9p5JV9T9zzWzXescZ3caU0LHMMSkrX1kkubXlF1F7rEyWIzRaWJ1YI8UJ%2BvWSB16%2BJzg594yoW%2Fmr3rSqHCX6ZyHUDwY9U5a5rhvWhGVxmhkvQrMwqtq5ZXZvA853ZX3YnSRLZ1suo5rrhFOt%2F9umRqTbSWAaaCJdv%2F%2Bcnn2omdQbN7Mmnbv9nGAX66FQFXZ1v7QXyhNqM%2FsY5lA6rqfNcKr53VkjTlr98EMwJxT6M%2FjryNUUQRvgnSgQNv4nLHP3JnWDutsQDqSHr8kGmr5jYw%2BquIMkKxNnnZX7Ax187qszwETXn17HPiqka%2B4zguOmVi21fJv5P97%2FGGatWadrF3es8FX0iq%2BmdjbrwsGhXOdZYsTb20EsYH1DGow1HhS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2Fy8vL6%2Bvqfn5%2Ft7e339%2Ff29vbo6Ojz8%2FP6%2Bvr19fX19fWmpqbLy8v6%2Bvr4%2BPjT09Pr6%2Bv6%2Bvrr6%2Buqqqrz8%2FPt7e2ioqLPz8%2Fa2trW1taioqLr6%2Bvi4uL5%2BflVVVXNzc3%2F%2F%2F%2FW1tbj4%2BPh4eHq6ur8%2FPz%2F%2F%2F%2F29vb7%2B%2Fvz8%2FP09PTMzMz%2F%2F%2F%2F%2F%2F%2F%2F5%2Bfn19fX%2F%2F%2F%2Fy8vL9%2Ff0AAADZ2dn8%2FPz7%2B%2Fv8%2FPzp6em%2Fv7%2F7%2B%2Fvq6urp6en%2B%2Fv7%2F%2F%2F%2F4ck%2FmAAAA8nRSTlMAGgDUzwIP8SMQ759fCgUvqfDGFeIYA78fbxNTt98%2FhsV%2FBhdD4Q1rRI%2Bvwo3ATxJTD18IoKWasozTETbQ4D40IX5hC6dAMR7RXydvEsRuotKLkZCATYahkzOxQlFqmbZwJiUhFWy1wyJYcXI7gB2XIEFbgjxgiWFtfTSFMy8wSYgEqFBDTSE2KCpnSyZZUaZHRFAsDuWBYJJ7AVZQpC0Z6njBKWjdN4dlMV30iN8bV7%2BzJJeHMRiDYsR6U9yVYxdP2c1dj8CKFZZVFjtaaTxOI9cMKQk4NnBW4PKUOmiNI%2FkwWoQYUdQOSk6GvkUURFSM3n71h14AAB4tSURBVHhe7J2HfyPHmaa%2FYicCDTQCQRAkQWgABpMcDSkOw3CGM5o8Gk2QRjlZOVjBsizbcs5pndb22r7d23ybc7zbdDnnnHPO%2Bd6%2F4FjdIGu6vmp280CtbF%2B%2Fkkn%2Fnip%2BaPSDDqA%2BFOm7J3ncIoDi0NAQkY3d2IaJSws2NNZZnCouduhAsrgf7o4BYy59O4fvn3ROJQKoREkBGKqYytAJCCEQWh220I81TPFIozLaNiCMH4PJr47WIooL1C1isUUsFSwpkMqPAMARDUIFjLcYpj5tGbmqw%2BP6bhz49jZwbZ9S9k8Kd20QQLDdzFbdIz%2FJJ0OFyJFaI6mOcZ6HGOzAGxdi0tN8JL063CmJwi9FviX34m4FUrlxl0PgaBgIbrXJJfVp08yTrbq2tt99bINtCj9p%2F2TiZMMigCzYGa0WxwBgrEjxCBUici56obyLjsF%2B%2Fez8KGLwUdxVJuq9HZcpljX16lgjlaeg8hTpmUVNqubcUjzNKnBbGIBbJS6pT8nMo5ilAms3kxsAbElvsP0DqP2Ttt9KsEYIoBELpWxWDyHMocSDdUiCYMYDvJmAl5sUE%2BcDgiaiLMd6FrTJUmskFaTyEah8JPZsiru8WGL8ouLpx2rfqshkVQix%2Bz%2FOoyRIte64GalXsb5%2FJFX7J4UfxsVI3EUcMyrVrbqAtbVVB1x96q39f4Yo0goYpBJ6EmhWa31nx3WrUmskFaTyJah8iVSofNrqY2umHOeNsyIQ457ksUTnlP0dq4NfVyuLrpTKLlHy0sUp1UASq%2F2Txr2ASAiiwJvNYrVzBLjUbJ4BjlS0qbdE%2F%2FStUgAExAMyWG2jI2EFDd3qujNsWcPOesxquY6d1OOSmiMbId4YCTT%2BBEq0xDjRKACM8mO1HwF2mYm%2BDnRdrRRht5hUmRPHAeD4CdL3jwBEBQ3OheC84VE%2FXi2L1Q9fB14kOgFc%2F%2BzeVgmgJKuVTnzsPSh2iFoncY82uVrw14aH1%2FxCNVbszO4heYa0vDPk30uc%2F%2BOxv2LgBAAGdjSM8R548OvqoxHiUl0bYWyX7R8h1P5J22%2BHUIlAxXSl5FYDeZS67hHgTO%2F%2F2aoPbWy12r9JqFVifFsqsLYGbGtlJyq%2BV2TuBRrA3WTgs%2FAY70S30519XFebg19X3520%2BbakctBO2j%2BZ%2BNt23qsdwduyWCWnjjB1h%2FZvdWkqhPxKVhi3gMamh2Ilhn304xeIaTVJpVlsTp9FLRt3F9DPgvtmX1czbf4FSeXghcT9k4WXLYxtg8oYrLJRKZNTC7XWa7R%2Fq1RDCDfq7RltpDwixPTcjIdii1R87MYnptUktdKYn6Pz89ZSJj6l6k8NcA%2Bc9bqavvmF6jbdHqwW0vYP5%2Fq9dLGo7qVTrY5OXKnXr0yM7m3V%2BFzIAs4S0crEckCmBDOedY1UCmI3%2BtN0LjUucan0yDOycjD8PZk4VJDCB3%2B%2FqmmtSqlc68g2dUYKlLJ%2FUrgzMl73Gu3xESfFqorzwO0OsXiI4kmrCe%2FSRoQ4T3slOK2ea0qa001Tgci0E2TiQkVk5tHooO9XnYJDWcP3TzovT4xOL5dJixDqXz29gHhGRZTRIRogzT2l5mk6b8F%2BG5KhtyB5%2Fj%2B2mie3mie3mlvNk1vNk1vNk1vNk1vNrZbouy65VR8%2BsST3UJbGpopjJYZdoNsFXGOptDrpfAn9LGWvU5xaLJFvmr9Ycu3kzstYuiHrUuaUFsfGFg%2FyQOFa%2BHaCIAeHMNTnPgA%2FwSrnrg3UPPD%2B1R8AHnwQ%2BIEUq7xONv4w%2Brk7ex2vBhRhng9ks%2BoyGAXU6XYrROTzXnTg4PrRW3EAIQQI8tueVn3I%2BGarnNuoz4%2BOztdZ%2F%2Bpl4KWXgMspVnmdbHwWIgxm91XHA7JxiJ1A64jHvJg0WS0CmBqzWf3NLSG2NmGTnopCOm8l8RZKpNsDSbG0l1UfUXyjVcZLqE8EoGCirj1cC%2F20Eq3yOgjrML6wwHgLFoWxUGHzicx1iB4CQJy7Iee7S4biAw4QUM9k1XhodzE%2B1yRqzo2zk3YXkPZaZODoEJl48avVU5pVQQjFJltVUgHfZJX9N%2FDDuJ3Cerdr%2FasvA5icBPByolVeB6yO5B2go%2FOXdzpJLuAVVseuGOv0%2F2M%2Bce6EnO0uIRO3elPbciars9UyhSlXZ%2FkJvoVSCS3OaeNRCTi%2F59j7UGFc0J7XVSWVad2hpv5VEO9fPQXgwx8GcMr4CRybTHWg6ijungJOuRo%2Fhp%2BgMD%2BBw4Y6Xb3OrOSG1BTPdKxCJZNVfJn6%2BbKhTnMcGG9yTv%2B5Zrb6CQT4LLtQEAkBIRKtFgR2IgpZrDa8aEzvX60AQBAAQIVi6bdzEa9jA7aso3FnGph2NA58ncJ8HTBsz5%2FQ69QkD1OM9TmNju7yYsqxmtFqI46fo36eg8HSzwM%2Fb7L3fR6RkYPwfTdzQVBtOklWuT1ulfevCiH0%2FtV7sZt7zd1ovM5F4KKqozgBpHMA6BB1AIDNb0yuGOvIVPAk8YT1BztW3fq5rXMb9fZjcexEEwEHpjPw%2BLjxDPwH2xHgvIIPMy5EBqtCiBSr6f2rswAaQjQAzCbsFVYn2NwMVB3FCWD1AeC9RO8FADb%2FmZ6az7fzcf15%2BWr7BzhWnYnV5irr1gPtWCX9swSbQHOrXN5qck61ByTgfPY9DzUC%2Fs6GICfsbVXCFKtp%2FatL%2FY9pHQKAJUOZyUnwOnNzYR3GhWAcKmDzHbU9GfpsvfcpPsh11ZhNZXVTG5qbt6hJ8l%2FOT%2FeITPyjX6l9kG8mqe0cwGp6%2F%2BrdAHCd6Lr%2BewKopNbh3Gx1kDoET%2FHBrqvGzCmrc6QlGFFA480k3jxdZpsJEoCgeE8lhfdQQ2JocjKj1fT%2B1RoAvJ%2Fo%2FQBQS7fK63CeZjW9TsOrM14dHW%2Br%2Ban6vF3qZbJKyurBpGnQQpicNDY0E4aAXnQC73%2BNh3XZsv5V1ow6RzQnv4%2FyMjJZ6nDO64jMdaZHJxgvUHnZND%2Bh%2FuguHdXmU0KEUF8PPpES0esZG5pJDAkxdDPOk%2FdC5Mmt5smt5smt5smt5lbz5Fbz5Fbz5Fbz5FZzq%2BYGw13usyHXNjcHKKrHZwuvpKWLinmDsECGlAwdND5R2vIg39VWq0atfV5Y14fs2ryIktVqjbUepmUW9zI2CUyes9AlnvJZtEfiaAEL%2B7OabBqJQ619rSnT4jwKiCHaRaD08MdFvVDnWhVXWpm9jFYrEf5AwoYQz1INNQZ7QG91GJfJkH%2BGBzSyghWyJoUAhJi0SIXRAaw292W1eSBWE4uI3YAIGAOYVsWl1sGsvhLhY3FahN6SqXLs0xZKxud5QurmeQee0xGIRnrRD%2FVGFE6iJKIQj0gdYsjI1RCzKhErnWrVj3Hy0Y3OwCDaqx2Ya92%2FVeBYhK8DbLplAbcC7MT2vh%2FEMZPVyhraZAjgMGRe9S2RQiWJg519D%2BoMnPi4e1n1oReZJXLHKtJqNUFrNaZ1EKuzIswstzp%2B6dK44Vm%2B3Ah%2BCmiZ9%2FsDxFNBnX6%2FrTYVHuwMvJBmdcFs1YdmtYp7yLVRdEFUSNBaiGsdwKqKxq0vAF%2BwuNVTn%2B68buH7uQqxdRYnXWL5XXxtYKtChfHEgcHPwKEeSixPJO3BZHVdt1oQc64NwEZM3zqpxPn6%2Bpth9fiLwIvHmdUOwswaVDTPb%2BB%2BYnkYP3dwx2rmu6XWQZyBhdgogHj5XYTChhCm%2BoWqZtXttn4EYW7Wpy%2Beqbi%2FXshk1dqy9mMVH9ja%2BgCY1YcsIcQW0DGp%2BGkcJpYbeGlfVktAaXCrzYM5A6%2FQ3lZpJWE7C9UYr0wBP4kwSh%2BTKrmSmsWqNdwctrhV0Q%2B3ipMnway6eF7usjYe4lZbpRpeIBbge%2FZlVZnI0nyXOjD4PTCHu8hk26tvh6gQ5ypKH5MacSWVW63G9VnDTriYLnNRhEyLdWSaWzLX8AU5%2Fkn98zpXwW6X1Mj%2F0NkCFhKOym0emVgYbKXag74HNtchGGyPTmyH2VbZ1adLVbykpGpW41xKJalV34qd30KwjkxjS2YX4WLXFfY%2BFmEakz3SYpt%2BH7lSXWFHJVud%2BvfXanNAqzxpj1vQpSpeLmQ7VUmpUivrTw9EmDJlyty25SD6oVHD404zqTQiMaOF3R%2FS%2BIboZ6Mw4PrDB3UGFpRchxTkSX3cwePQd0ZW2P8ZNHkvRJ7cap7cap7cam41T241T241T241T241t%2Bq2aOAs0rdVcquuXawYFrpdTF6%2Fl6eDJUqOu0SDxvdpH8mtus8eR9HUnQ3ftK4vANslPSdxisOlKcjZ8uc6jI9Ryzy%2FWKEuq%2BUn9KOHW5VA%2BVASn%2BrQAcR2wy%2FJvAWwoYjyuD4vFDnwTdi33ZhV1z55ybJYx0B9sw2UDOvrRqK0dAHcZ16C2xp2T1ywntO4d3aCcJXPH696M4EPm0s1aQWkISRQPpTEgcUWGQKAkLknBtIRlFbGm6yUokyeHDJyGLT6QKRVTcPJS8P6Wq%2F1ibnlNg4b1tcFwHR3jOunn8KmEGLkhG3fMeJofPR8yQcWXX1%2BuTAa%2BMAFTWpBAKLAtALSEBIoH0riAIrdwa1KEVA2OAfMQyZ5csjM14llHX2tahqOX2PLSr0%2F6kkwrK9r6ts%2BFcKaq1eZix7h%2BAnG%2B4uZr%2Bl8oUK%2B3p3hLiJURVhkjyANgQzUOJTEIWN3BrUqRSgbBs5KKcrlySHOE1tXIq1qGl8V1MPh0KJlWF%2FX0AVYQjuk9xuvb7CGTzB%2BP6w6UL1D4wsoLrLttrEbW7cRjpGR8iFXcaMl3x3UKmxlw8BZKUWZPF6IS%2BVauVSVNjDWHQMu8PWBI6u1%2BEFc%2FaTBNQE7Um3Gf3RrZMIbLzgaf6cHKTV%2Bgr%2BgrF4w2iAj5UNrGmeWpga2GmXNzHkpjbKXsc22v5HUutIAsDbEpao8gCg%2FxtcHJsn19XV%2F7kGE4VafkvVtMF5oEp0ul3QezHhSKvTXYfSpJ%2FY6BSylSKd86A7FjZaqzwxsNXqEOxI4K2WmI2InI3z7fTLGDx93KHxLY5ZKvQ3IbDYN6wMDgLa%2Brnf5i16C1Y%2BMb9cHGJdp%2BpwHMxsFAkjTGg3qUgkYlo7MlA85ihssWZMFZ1Cr1rA6TgycWzVTFcP2%2B4lSh50hoqfkWxopleddFoD6nGl9YAD6%2BrptrB2SuE6xNNClubLjdtFgfDtmHqworrRG72x0qQSEokzUOJTEw7daI71B75akTyXVwFkpTrlVrjVZ6hDRZZy8ZJZKzkUPjTNkWh%2FYsJL%2BxzzIeLfH8Z3YyZ0D8eS2ZSAUlUD5UBIH2qfPD%2F7ORvpUUg2clTJTocK33%2FzOpi91iFqwfvCaQ%2BYEM43H1FjKerzN01UPqJ4O4nj1XAMyjXOrA%2FHktmUgFJVE%2BZBELueNyeVmQk8mZW7dJ2nI5VIljwaZP0Z5uFZzU34kdYiubY2cdygpwbRylLoeb7MwKkSB7ZjVaSEzvToYT25bFkK1IXPKh0LkcD7dowNIVNkx8ugLO%2FY4TddqbsqPpA6R06TvvORxEnDeCzFo8l6IPLnVPLnVPLnV3Gqe3Gqe3Gqe3Gqe3Gpu1dzf%2B5Zx1ShxcPUHT2uqktR9uN%2F4ST9UWThIq65taI95S7gaAsyddTWPzc%2FCB85JnHT3ZdVuUULel2C1UsTCYK8at0XAUMsNrdqm9pi9uQd4%2B5kPq569Prk%2BgOISkaEPeXS%2BDns%2FfJzXJ2oplMnGAoC1fVlV28%2FkGVX529x750BW5YcvgEox7EYrAYAQrL835ICJW09Xq09b5vkNGPi5kYl5jbPHVVmrjQMfqpWI9SE%2FQvTIRB0lnQdEgZlXarw%2BLRVBaTZ4o3opu9XOVQALCVK9%2BaqxkjcTDGT12RqKQBG1Z4eIDgMAEevvlVyGc2%2FYKRScYc8033pmHIxbq1crgZWxPrm4qwyc%2F1CN9D7kCnwfldtxTOPRRxc4j3biuOLqyKOEmGy0apCptTJa7RYRxnTc3yvlFYxWpdRBrDZnPIQvjuYQUQ0QgkgIredTchnOo5PRGufWZH3Y%2BVmPceDUZ12Ac1ld5zt%2FBF1G60MOqkA1CLxZjdPVlo01zkOpM%2BU4b9kpa5oxGyf7%2FGQ2qz5UCyrLyoaSp1V6KKVtKfvirkNEDWCH1khlL74u8Trnl3oTTqXIOXBnbw0mTgSdQ6bXg4zeh7wePrZX0%2FjVsF%2BS8UhqoPEppFhlNkaEAKA3cJJtvi3oYCfWY4a73BUu1Q%2Bri8JBWj0UjbP%2BXsllOPfCRtc7PJ3L%2B8RKMXsd8%2BOKKzgngMmqJ4TWh1xBtSq%2FHtL4j1uyC4vxUiRV449ZKVa5DfNBecmDjHcpjh9FYyM81VSHg5S7XHZXPJBVMe9J2JgXQ0Rvi8ZZf2%2FIARO3Xd93bc5hd4rmOkIYuSASOienWisBf7J2F%2Bl9yMF8oTAfHNHrHHGGq8MOMY5Qqs6D4SqApHUDlY1Uq803IPNGM46xOb3S60F9JIHd5Wa7K%2B5vjcj8B%2Bdbxei9SbE1FPb3yrD%2B3r14ESgmzR%2BUE93xaQC1u8q8D1neA4%2FxOmO%2FUHAqBo67AmKcnMK4B0qIspFqlVY3AGysanRzTgJrppx2l8vvige7W7pmeTPAjGddG%2Br394L19751nJzCFeDpsrEPucjmZ%2BdK%2BIxFhjAbKVZpxYK1osO56MGDlLtcdlc8sFVn%2BHQABKdl735Cf%2B9bwtUQwOBB1g%2BGiYfZSLVKFxuXyBwn5S6X3RUPbpWcJgkx1JS9%2Bwn9vW8lZ82xB1%2BfiU4ZEOYNCqablDXqLlfXGuz1M3kvRJ7vZKt5cqu51Ty51Ty51Ty51Ty51Ty51dxqntyqe5W%2BrZP3A3dhd4g6NrpkSqc7BibV%2FgjtM4twDXRsjIyxYXMI9dUcn7Lk1VdfVd%2FexFSAA18nOXs%2F8GGrhoUF1KzDxOyVbAAvMKv34RNkSGdxbGyxY%2Bb%2F%2Bs84xFKCefnoFoCUngEebT3LoppfjM265ZZb1Lc3Ma94IgbcItsUxlPWSWZWk%2Fty8fyMBXgzzzN5lSkAaH%2BNDdTwx2jM1aC7iDCLrpE%2F0XLZ86kBNZd4mvuwiv5f%2FAwt2sb5yGrV9d3kA8b3GfUN9Yus0YdvTzrn6ySbrZYAWEJYAEqs6tGjkDG8iBrjj8Mj1oh1N71g8xZ6dTLg%2FHvvk1w75Ot13JexOUCoMNvFViQVFzJYnZubU9%2F44svmAyb6ptNCFWHM%2FVvvT9p%2BkdFqtE4y36DIqi%2BtHo6a%2FGp6X64AgNtuAwBBsawB3tnpf6e%2F6Ih%2BE8DCC9p1%2BAjaaABAFUdM%2FE%2F9Zcm1C8%2FHPw5UiMUF4GY8VoWY96zXZfuIQLWQwSoA9S198WX3BqRAH8AN7TBadAv8L36%2Fhp28lO1YbTDbKuaO1cgq%2FKFIJ1yXrwGrrLLzrHX661PsRbfUbQKsTBfWu%2FHRNoAfs9Dl%2FI87KxZ7HWwCm8o1270Zr6vB6T8ddRkqqZmtmhdf5qsJTmktOoVJQCw7hl3%2F09jJV7JZ%2FWAJKsUUq%2FrfgG4AwFNP8fV%2Bj27nttvkV%2F1Qsi4egcwXY%2FzyjxKssFqLVB7Edae%2B9gBQb17Hgzfz49v8d%2FAXiUKuUkLjV4FfbaBkasYDipUYhdj9h7T8QhHe2%2F820TrtzyqX2kjSyhYX7QHmXf%2Bz6KfRzGS1UT4FlXtSra6ryevJ%2Fbp0224ols96zxchU9c3bwrX7wSA10llro7umXcA9TNd1Odi3Jf8E%2BTHOLk1fMZpt53PoObqUtsA2kpryrFakVJPFivqHjijVSa1Ol2VWolpZVKJkqwGHqI8SZmsfrADFXzRZJWvnyyDaoH166afgXuHEMY7wzfvhVUA6N2Mz1i4f0KIiadgndH4kY9b6HU1fh%2FaPXr8ceq1tcWwi965ZQDL57xilmM1%2BszJb9b023sPO9Hu9uqA36n4QDum7gLkbipUgQvEtTKpBCTcqI6KMN4ns1ktPwqVapNb5Vqj62q1wPqB0626dv%2Fm52mHLeiOBypyRHvqbUwtLEyhPezEeRXAn22hGuMdeB%2BLtvpjHjqx%2BqdXZfXK6ul20rHK%2B2%2FDjxTFhIwKwLoiZEbJ2Nb%2BOFvnVH3TtUYbzy35ScveVvCJbFZbUMGXs7yzKURWC0OsHzjdqn18a1rMzwvWDP2xBsZ7D7GVyclZnnzyHe94cnLZ0Xhh8vfwR1%2FU1s4%2BiSj880rLTYrelzeXsxyr0lpAFIyyNd1hXuS6XEeYepmvc6q%2B6c%2BBVYLSKqVyTc9ls3ofVKxeyjrJrBeC9c2mWD0%2B3CQKAmJpPrNVJlisDlFveWJiuUfE%2BGv4B804ryCWCsXSmBfzjf3%2Fbiku1Y2k8pzZ8ABv4wwNFBGlwF4HTYFtDuFks1qDyvNp6yRzq6pvlm%2Fe6ip7uzTs7NFlTGKkTNmzIgKNBCIWbXg6oGA6bclrngJbG9gYZ2VUiNEVh96sCCmdwYQnMCpUmJtC4YB7IRz67kneC5Ent5ont5ont5ont5pbzZNbzZNbzZNbzZNbXZhaiIPcagtRii5ljQsYJy%2B4rnn3dlGkNzH4KFomHIbz0liR9T8fKF%2BcmlqUnMcdA7qUKXt0xNqAbZgeWu3%2FwFfRz4%2BQKa2rLUOTAYoV0%2FK0tg1qceFu7SzMi58i4Ul2i6a9VUzYIWiimdnqm7%2Fu8amv3XPna5LzHEFjck6C9P7kvZrRhICBhVZFNPYw%2BnmYWNzSGH7lGjR6yrhW47OwJbfxLOm53%2FspZhX4w8AFcXTDcJh1pn7jDRAL3viNqY7RK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<h1 class="title">R und Leichtathletik: Staffelzeiten</h1>
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<p>Ich beschäftige mich seit einiger Zeit mit der Programmiersprache <a href="http://www.r-project.org/">R</a>. Die Sprache wird vor allem für statistisches Rechnen verwendet - sie wurde quasi dafür geschaffen. Außerdem ist es relativ einfach - zumindest wenn man programmieren kann - ansehnliche Grafiken zu zaubern. Interessant ist aber, und das ist der Grund, warum dieser Artikel überhaupt existiert, dass R nicht nur im wissenschaftlichen Kontext verwendet wird. Klar… Clickthrough-Optimierung in der Onlinewerbung, Kreditrisiken in der Finanzbranche… das fällt einem zu Statistik sofort ein, aber wie wäre es denn mit etwas weniger trockenem? Wie wär’s denn mit Sport?!</p>
<p>Gut ich betrete hier kein Neuland: Wer während oder besonders kurz nach der Fußball WM aufmerksam gewissen Medien verfolgt hat weiß jetzt, dass der zwölfte Mann im deutschen Team ein gewisser Herr <a href="http://media-cache-ak0.pinimg.com/736x/91/fd/52/91fd522284b34b4e133656f5c222c57f.jpg">Big Data</a> war und der mischt gerade irgendwie überall mit. Ich treffe ihn regelmäßig beim Buzzword-Bingo und ihm selber ist der Hype um seine Person ja mittlerweile schon peinlich. Aber das ist eine andere Geschichte…</p>
<p>Eine andere Sportart setzt Datenanalyse schon viel länger mehr oder weniger erfolgreich ein. Baseballfans und jene, die <a href="http://amzn.to/1rIhHBy">Moneyball: The Art of Winning an Unfair Game</a> gelesen oder die Verfilmung gesehen haben, wissen um die Geschichte der Oakland A’s, die ohne ein großes Budget und stattdessen mit statistischen Methoden ihre Mannschaft zusammenrekrutiert. Das funktioniert zu Zeiten gut – sonst hätte es kein Buch dessen Verfilmung über die Geschichte gegeben – in letzter Zeit haben die A’s aber <a href="http://www.sportstalkflorida.com/moneyball-has-now-failed-the-as-for-over-a-decade/">weniger</a> gut lachen. Entweder holt die Konkurrenz auf oder die Wahrscheinlichkeitsverteilungen sind nicht ganz <a href="http://amzn.to/1rEnhYc">normal</a>. Auf jeden Fall ist die Sprache R eines der Tools, die von den Analysten (<a href="http://en.wikipedia.org/wiki/Sabermetrics">Sabermetricians</a>) im Baseball eingesetzt wird.</p>
<p>Ich bin jetzt nicht so der Knüppelschwinger. Meine Sportart heißt Leichtathletik. Mir ist nicht wirklich bekannt, ob in den Leichtathletik-Verbänden mit R oder Datenanalyse gearbeitet wird. Vermutlich können die sich keine Mathematiker leisten. Tja, Randsportart halt. Das gibt uns allerdings die Gelegenheit die Grafischen Kapazitäten von R auszuloten.</p>
<div id="zwischenspiel-der-untergang-der-leichtathletik" class="section level2">
<h2>Zwischenspiel – Der Untergang der Leichtathletik</h2>
<p><strong>Achtung:</strong> Ab jetzt gibts etwas Code. Ich erkläre was dabei rauskommt, aber es geht mir mehr um das Ergebnis als um ein Tutorial für R. Ich gebe am Ende des Artikels ein paar Hinweise für diejenigen, die interessiert sind R zu lernen.</p>
<pre class="r"><code>Jahr = c(2009, 2010, 2011, 2012, 2013)
Leichtathletik = c(886107, 885664, 872650, 860120, 853076)
Fußball = c(6684462, 6756562, 6749788, 6800128, 6822233)
stats = data.frame(Jahr, Leichtathletik, Fußball)
melted = stats %&gt;% melt(id=&quot;Jahr&quot;, variable.name=&quot;Sportart&quot;)
p1 = ggplot(melted, aes(x=Jahr, y=value, fill=Sportart)) +
  geom_bar(stat='identity', binwidth=.5, position=&quot;dodge&quot;) +
  scale_y_continuous(labels=comma) +
  labs(title=&quot;Leichtathletik gegen Fußball&quot;, x=&quot;Jahr&quot;, y=&quot;Mitglieder in Vereinen&quot;)
p2 = ggplot(stats, aes(x=Jahr, y=Leichtathletik)) + geom_point() + geom_smooth(method='lm') +
  labs(title=&quot;Leichtathletik: Der Untergang&quot;, x=&quot;Jahr&quot;, y=NULL)
grid.arrange(p1, p2, nrow=1)</code></pre>
<p><img 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" title="plot of chunk unnamed-chunk-2" alt="plot of chunk unnamed-chunk-2" width="864" /></p>
<p>Oha. Das sieht aber nicht gut aus. Während der Fußball langsam aber sicher populärer wird, schrumpft die Anhängerschaft der Leichtathletik. Von 2009 bis 2013 haben in Deutschland Leichtathletikvereine 33031 Mitglieder verloren. Wie lange kann das noch gut gehen? Wie praktisch, dass sich die Frage mit R beantworten lässt. Dazu verwenden wir die Regressionsgerade, die oben im rechten Graph eingezeichnet ist. (Später mehr zu Regressionsgeraden.)</p>
<pre class="r"><code>deathOfAthletics = lm(Leichtathletik~Jahr, stats)
yearOfDeath = -deathOfAthletics$coefficients[&quot;(Intercept)&quot;] / deathOfAthletics$coefficients[&quot;Jahr&quot;]</code></pre>
<p>Puh - wir können beruhigt sein. Bei der aktuellen Rate ist die Leichtathletik erst im Jahr 2106 ausgestorben. Also nicht unser Problem. Da können sich unsere Kinder mit rumschlagen.</p>
<p>Ist natürlich ziemlicher Quatsch, was ich hier mache. Wenn jemand Prognosen für irgendwas über mehrere Jahre in die Zukunft macht, sollte man skeptsich werden. Aber immerhin: Wir haben unsere ersten R-Graphen. Die Statistiken kommen übrigens vom <a href="http://www.dosb.de/de/medien/downloads/statistiken/">DOSB</a>. Kommen wir jetzt zu etwas nützlicherem.</p>
</div>
<div id="staffelbesetzungen" class="section level2">
<h2>Staffelbesetzungen</h2>
<p>Bei Staffelbesetzungen gibt es ein paar Regeln, die intuitiv einleuchten.</p>
<blockquote>
<ul>
<li>Die Läufer mit den besten Einzelzeiten haben Vorteile auf den langen Strecken.</li>
<li>Kleine Läufer haben Vorteile in den Kurven, weil geringere Zentrifugalkräfte wirken als bei größeren.</li>
<li>Läufer mit schwacher Wechseltechnik haben Vorteile als erster oder vierter Läufer, da sie nur an einem Stabwechsel beteiligt sind.</li>
<li>Der Läufer mit dem besten Startvermögen eignet sich als erster Läufer, der Läufer mit der größten Willenskraft als Schlussläufer.</li>
</ul>
</blockquote>
<p>Steht sogar genau so bei <a href="http://de.wikipedia.org/wiki/4-mal-100-Meter-Staffel">Wikipedia</a>. Jetzt ist das mit der Intuition so eine Sache. Menschen sind ja nicht blöd, aber sie glauben gerne, was intuitiv und glaubwürdig ist. Wie und wann wir uns selbst in die Irre führen kann man anderswo <a href="http://amzn.to/1rIhA9m">nachlesen</a>. Aber in diesem Fall lässt sich doch bestimmt ein bisschen was überprüfen - jetzt wo wir so ein praktisches Tool für statistische Berechnungen haben. Die erste Aussage zum Beispiel sieht überprüfbar aus: Wenn wir eine genügend große Datenbasis aus Staffelzeiten und Einzelzeiten der Läufer zusammen bekommen, dann können wir uns ein mathematisches Modell bauen, das die Einzelzeiten mit der Staffelzeit in Bezug bringt. So etwas haben wir oben schon gemacht — beim Untergang der Leichtathletik. Da hatte ich lapidar von einer Regressionsgeraden gesprochen. Das funktioniert wiefolgt. Aus der Schulmathematik kann sich jeder an die Geradengleichung</p>
<p><span class="math">\(y=mx+b\)</span></p>
<p>erinnern. Wenn wir jetzt ganz viele <span class="math">\(x\)</span>-Werte und ganz viele <span class="math">\(y\)</span>-Werte haben und die nicht ganz aber schon ziemlich auf einer Gerade liegen, können wir uns überlegen, wie <span class="math">\(m\)</span> und <span class="math">\(b\)</span> aussehen müssen, damit die Gerade die Punkte <em>so gut wie möglich</em> beschreibt. Was das <em>so gut wie möglich</em> genau ist, lässt sich woanders <a href="http://de.wikipedia.org/wiki/Lineares_Modell">nachlesen</a>. Wichtig ist auch noch, dass es ein paar Vorraussetzungen gibt, um so ein Modell anwenden zu können, auf die ich später kurz zu sprechen komme.</p>
<p>Wenn wir nun vier Einzelzeiten von Staffelläufern haben können wir daraus naiv ein Modell</p>
<p><span class="math">\(s=m_{1}t_{1}+m_{2}t_{2}+m_{3}t_{3}+m_{4}t_{4}+b\)</span></p>
<p>machen. Das heißt: Die Gesamtzeit der Staffel <span class="math">\(s\)</span> ergibt sich aus der Summe der Einzelzeiten <span class="math">\(t_i\)</span>, die jeweils noch mit einem Faktor <span class="math">\(m_i\)</span> multipliziert werden. Wie groß diese Faktoren <span class="math">\(m_i\)</span> sind, interessiert uns. Daraus können wir sehen, wie stark die Einzelzeit des <span class="math">\(i\)</span>-ten Läufers sich <em>im Durschschnitt</em> auf die Gesamtzeit auswirkt.</p>
</div>
<div id="daten---woher-nehmen-wenn-nicht-stehlen" class="section level2">
<h2>Daten - woher nehmen, wenn nicht stehlen?</h2>
<p>Zur Datenanalyse braucht man Daten. Klar, ne? Leider ist die Leichtathletikwelt nicht gerade bevölkert von Techies - es gibt also nicht wirklich eine guten Dateninfrastruktur. Manschinenlesbare Statistiken über Wettkampfergebnisse, zentral bereitgestellt durch den Verband? Schön wär’s - und dabei sind eigentlich alle Ergebnisse sogar öffentlich. Nur eben im falschen Format. Naja - kenne ich ja schon aus dem Bereich Open-Data - meinem anderen <a href="http://codefor.de/muenster/">Hobby</a>. Daten gibt’s nur als PDF oder als HTML-Seiten. Ein vielversprechendes Projekt (<a href="http://www.leichtathletik-datenbank.de/">http://www.leichtathletik-datenbank.de/</a>) hat gerade dicht gemacht. Auf <a href="http://ladv.de/">http://ladv.de/</a> findet man zumindest ab und zu <a href="http://www.flvw.de/service/top/downloads/leichtathletik.html?eID=dam_frontend_push&amp;docID=1712">BLN</a>-Dateien aber bei dem Format läuft es mir bloß kalt den Rücken runter? 2014? Wie wär’s mit JSON? Falls hier ein technikaffiner Verbands-Funktionär reinstolpert: Da gibt’s ne Menge Potential…</p>
<p>Also mache ich das, was ich immer mache: Scrapen. Das heißt, die HTML-Ergebnislisten parsen. Das geht auch mit <a href="https://github.com/hadley/rvest">R</a> aber ich finde es mit <a href="scrape.rb">Ruby</a>, einer anderen sehr schönen Programmiersprache, angenehmer. Meine Daten kommen also von den folgenden Seiten:</p>
<ul>
<li><a href="https://www.flvwdialog.de/daten/2014/mannschaftswertung9485.html">https://www.flvwdialog.de/daten/2014/mannschaftswertung9485.html</a></li>
<li><a href="https://www.flvwdialog.de/daten/2014/ergebnisliste9770.htm">https://www.flvwdialog.de/daten/2014/ergebnisliste9770.htm</a></li>
<li><a href="https://www.flvwdialog.de/daten/2014/mannschaftswertung9467.html">https://www.flvwdialog.de/daten/2014/mannschaftswertung9467.html</a></li>
<li><a href="https://www.flvwdialog.de/daten/2014/mannschaftswertung9751.htm">https://www.flvwdialog.de/daten/2014/mannschaftswertung9751.htm</a></li>
<li><a href="https://www.flvwdialog.de/daten/2014/html-ergebnisliste9564.htm">https://www.flvwdialog.de/daten/2014/html-ergebnisliste9564.htm</a></li>
<li><a href="https://www.flvwdialog.de/daten/2014/mannschaftswertung9468.html">https://www.flvwdialog.de/daten/2014/mannschaftswertung9468.html</a></li>
<li><a href="http://www.dortmunder-leichtathletik.de/bahn/ergebnisse/e20140624m.html">http://www.dortmunder-leichtathletik.de/bahn/ergebnisse/e20140624m.html</a></li>
<li><a href="http://www.dortmunder-leichtathletik.de/bahn/ergebnisse/e20120628m.html">http://www.dortmunder-leichtathletik.de/bahn/ergebnisse/e20120628m.html</a></li>
<li><a href="http://leichtathletik-rumeln.de/sonstiges/dsmm2011.html">http://leichtathletik-rumeln.de/sonstiges/dsmm2011.html</a></li>
<li><a href="http://old.sc-potsdam.de/ergebnisse/11.05.2011-Abendsportfest/ergebnisse-dsmm-0511.html">http://old.sc-potsdam.de/ergebnisse/11.05.2011-Abendsportfest/ergebnisse-dsmm-0511.html</a></li>
<li><a href="http://www.kreis-offenbach-hanau.de/Dateien/Kreisergebnisse/2012/DJMM2012.html">http://www.kreis-offenbach-hanau.de/Dateien/Kreisergebnisse/2012/DJMM2012.html</a></li>
<li><a href="http://www.blv-kreis-wolfach.de/2012/ergebnisse/dsmm20072012_mehrkampf.html">http://www.blv-kreis-wolfach.de/2012/ergebnisse/dsmm20072012_mehrkampf.html</a></li>
<li><a href="http://www.laz-mosbach.de/ergebnislisten/ergebnislisten%202008/080913_14_lage.html">http://www.laz-mosbach.de/ergebnislisten/ergebnislisten%202008/080913_14_lage.html</a></li>
</ul>
<p>Die Daten landen in csv-Dateien - die kann man z.B. mit Excel oder Google sheets lesen - oder mit R. Ich habe eine Datei mit den Einzelergebnissen, <a href="performances.csv">performances.csv</a>, und eine Datei mit Staffelergebnissem, <a href="relays.csv">relays.csv</a>, erstellt. Die schauen wir uns jetzt mit der Hilfe von R an.</p>
</div>
<div id="ein-blick-in-die-daten-a.k.a.-explorative-datenanalyse" class="section level2">
<h2>Ein Blick in die Daten a.k.a. Explorative Datenanalyse</h2>
<pre class="r"><code>performances = read.csv('performances.csv')
performances$age = performances$tournament_year - performances$year

relays = read.csv('relays.csv')
relays$age1 = relays$tournament_year - relays$year1
relays$age2 = relays$tournament_year - relays$year2
relays$age3 = relays$tournament_year - relays$year3
relays$age4 = relays$tournament_year - relays$year4</code></pre>
<p>bissl anschauen</p>
<pre class="r"><code>p1 = ggplot(performances, aes(x=factor(event), fill=factor(event))) + geom_histogram(binwidth=.5, position=&quot;dodge&quot;) + coord_flip() + guides(fill=FALSE)
p2 = ggplot(performances, aes(x=age, fill=gender)) + geom_histogram(binwidth=.5, position=&quot;dodge&quot;)
grid.arrange(p1, p2, nrow=1)</code></pre>
<p><img 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" title="plot of chunk unnamed-chunk-5" alt="plot of chunk unnamed-chunk-5" width="960" /></p>
<p>weg mit den alten und noch mal</p>
<pre class="r"><code>performances = performances %&gt;% filter(age &lt; 20)
ggplot(performances, aes(x=factor(age), fill=gender)) + geom_histogram(binwidth=.5, position=&quot;dodge&quot;)</code></pre>
<p><img 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" title="plot of chunk unnamed-chunk-6" alt="plot of chunk unnamed-chunk-6" width="672" /></p>
<p>Schauen uns Sprints an</p>
<pre class="r"><code>sprints = performances %&gt;% filter(event == &quot;100m&quot; | event == &quot;75m&quot; | event == &quot;50m&quot;)# %&gt;% filter(age &gt; 12)
ggplot(sprints, aes(x=event, fill=event)) + geom_histogram(binwidth=.5, position=&quot;dodge&quot;) + guides(fill=FALSE)</code></pre>
<p><img 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" title="plot of chunk unnamed-chunk-7" alt="plot of chunk unnamed-chunk-7" width="672" /></p>
<p>100m Zeit gegen Alter</p>
<pre class="r"><code>sprints100m = sprints %&gt;% filter(event == '100m' &amp; age &gt; 12)
ggplot(sprints100m, aes(x=age, y=performance)) +
  geom_point(aes(color=gender), shape=1) +
  geom_smooth(aes(color=gender), method=lm) +
  xlab('Alter') + ylab('Zeit')</code></pre>
<p><img 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

performances.csv

relays.csv

scrape.rb