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veri_kazıma_pratik.html
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<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta charset="utf-8">
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<meta name="generator" content="pandoc" />
<meta name="viewport" content="width=device-width, initial-scale=1">
<meta name="author" content="Sadettin Demirel" />
<title>R ile Veri Kazıma Alıştırmaları</title>
<style type="text/css">code{white-space: pre;}</style>
<style type="text/css">
div.sourceCode { overflow-x: auto; }
table.sourceCode, tr.sourceCode, td.lineNumbers, td.sourceCode {
margin: 0; padding: 0; vertical-align: baseline; border: none; }
table.sourceCode { width: 100%; line-height: 100%; }
td.lineNumbers { text-align: right; padding-right: 4px; padding-left: 4px; color: #aaaaaa; border-right: 1px solid #aaaaaa; }
td.sourceCode { padding-left: 5px; }
code > span.kw { color: #007020; font-weight: bold; } /* Keyword */
code > span.dt { color: #902000; } /* DataType */
code > span.dv { color: #40a070; } /* DecVal */
code > span.bn { color: #40a070; } /* BaseN */
code > span.fl { color: #40a070; } /* Float */
code > span.ch { color: #4070a0; } /* Char */
code > span.st { color: #4070a0; } /* String */
code > span.co { color: #60a0b0; font-style: italic; } /* Comment */
code > span.ot { color: #007020; } /* Other */
code > span.al { color: #ff0000; font-weight: bold; } /* Alert */
code > span.fu { color: #06287e; } /* Function */
code > span.er { color: #ff0000; font-weight: bold; } /* Error */
code > span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warning */
code > span.cn { color: #880000; } /* Constant */
code > span.sc { color: #4070a0; } /* SpecialChar */
code > span.vs { color: #4070a0; } /* VerbatimString */
code > span.ss { color: #bb6688; } /* SpecialString */
code > span.im { } /* Import */
code > span.va { color: #19177c; } /* Variable */
code > span.cf { color: #007020; font-weight: bold; } /* ControlFlow */
code > span.op { color: #666666; } /* Operator */
code > span.bu { } /* BuiltIn */
code > span.ex { } /* Extension */
code > span.pp { color: #bc7a00; } /* Preprocessor */
code > span.at { color: #7d9029; } /* Attribute */
code > span.do { color: #ba2121; font-style: italic; } /* Documentation */
code > span.an { color: #60a0b0; font-weight: bold; font-style: italic; } /* Annotation */
code > span.cv { color: #60a0b0; font-weight: bold; font-style: italic; } /* CommentVar */
code > span.in { color: #60a0b0; font-weight: bold; font-style: italic; } /* Information */
</style>
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NOjMKhUpWZWHK5LZgl9279229we2OBUX50kuVjv5QDo7PBwnsvrhWJF%2BYDIuVagZDxeFHOF1MEKbsBMEQS%2BKJjOVdXJ1BKw61EH%2BfeqSTzTz3I7ZA3Zuv%2Bwhshy3sDFL2TjctJR6n2SDsfFJ3A0I5ewXfAgugw7s%2B0XQG0SAfFVWHOEsr6TyphSHW5NHFc9J6Wa%2B7B3Dfp42HguHAUINniPlZCpQ%2Fl0CogDIrW%2F8u85iv7sGv8ZzGzYAxjwV%2FMCxTwobJQCTWU8HRPQeruaaXpRqestVdUOXso7dupeF7px4Z8%2Bed3arKFc44AIg51W9ch4kIIiUEocmSk4sBpCcj15oUDRJXYYExl37RmirrkIv55rLASYJJF%2BS3t0nopeptU%2BE%2BmLrLK%2BlPgQyid3mCBU6UP1rVz8R2n770zc%2FXf7x8s%2FNn9fvaFi3rmFHPfmMLWRP4lycho%2FjNPY4W82Os88wiJ34K4tdAIQjAOQkx8YArcM2PaAOjSZBL8uolzAJFFvGDXd8ej67P2AvKpUkOYghcnK7zl300RBcsExwzJ%2Fhbrd7GuYBwhgAIYtbTx%2F3%2Bd4klJ3gtKCQnGIz9InYZEzqG8EkjSzNavCB%2FcXYlcQshhyMsZrI6PYLWc3lOG%2FvlA4rHr%2F3uTFD3r38%2Fr%2B3fMKOke9W4oJ9G566u7au84CpOz%2Fct5R99wF7W6dIYjjnawrHIAh3hlungFOWgXoyzVKbHOr1eD19Il6vISsrrU8kSzbY%2B0QMGpdjgYh60zDTHJKHoyP4404pw27zB4o1o62gq%2BBLL299am8j%2Bzv774zj995%2FdgTOZsOfWr3rnTWPj2h8qGbo1%2FM%2F%2FkYYvmxfms7TtPrM54E7ns4vwBw0rFy%2FaNJjRRVTet31OgCBPABhongUDOCAzuE0h6gnxChToCJ1ulB0iH0jeqvscFBZotflk%2BhMQ5oJDqhrC%2Fl%2F%2FFxmAUlGYeK5Z6Jl5MDec2yJQdc%2Bl5ViNduL1avoZ805eGll04jy6COKheT8S%2BU6kQwdw%2BlW6nPpXF4qtEoBziwAye3mMnRLkqlPRLqZdQlsKxTcLghkqhzjrLL5M%2BWgUwldSkjbL1HPLrCf51d8MHbv66zu%2FmcGl5Kz0YNZ0%2Bmcf759kbEB29qGGrZiYWop2b2R9fYqnKnlWOVzqXqgNfQIB5LtRr8fQLLT7CyT0ZLaL2K0WFzU5e0TcfmojkckcgvcyhJ4pNlr8Bd63VyEhIbiGhfIBFGTq8R9lqcWB2Dl1G79Rn%2F9i8n08OU3L%2F760UX2E369YuvqVUPrI9VryFR8CXc5V%2FrYefbW7svv%2FYNdxUHv%2FOnFVQ1V8yse2Dde0UcAIY%2FzU4L0sA1FEQg3jJT0jVAJFBlqbOOrALk1dCOmkuHNF%2BmpaKOYunHhldNAlZhEyFGpz4R20C%2Bc47Vmu%2B6gqXo9lewuq5TfXrLnZORk9Ink5JjAlNwvYvJBoF8E5N8qd9nN3jrmj7mOx8OPLDXqolpgwv0zZkpuzaeTynf%2BvWjNvnr22b%2BbsfDJR7%2Be%2BcL6dQ1bXlu3CDvOWfHIMytnrhJPHt7x4L7eg%2F48%2B8C5U0euLuu%2Ff8ozr1xteHTRssdGru8V3kwfeHTMsN937%2FzksLEzFdlO5NQpNsMLWdAtnJlizzQYAAQu26AljUvWZbEQlyuJi1Ymcr8Iaal2jjKNg5qJ9Ctqx02jMyDFKHJw8TpUIvjHKhXZQlZ0%2FIwe1eO%2B%2B6%2FRVHpg2mv%2FuPbBuguPMtfKLU%2BtuXfjkIFraEVzg2tlMuZg6O57%2FvXBP1C3kZ3H9od2PPV81RMVE%2FaNAy3HEcaokRS34Ta%2BLAA8XotzQMRiizkRDVfN87X0JXae6NzkVR6Znehb6J8XL%2BY3IKovXMjn0oEDMrkmmc2iXu9yGm0DIkab6hgTZklwj%2FT6FDccpXsmn6Rjlxv%2BknyrTFMR8%2BU%2FcF9%2BDiRwh%2FUCiChwdeXD58cDhSwsRjeikNNcTo83%2F0AtP2DDKLywji1nhxSezMTjgo9eVHOy3LBbJgIQ0OsEsToiIFRHrIjI4wHOlfxEz6a4ZOTXTLq9eTjdTofW1bEH6up%2Bg5GIBDhGEr2BkRNVlMZTa%2FP3HKVyrMMKrF3H%2FKPYUAWjlGsXaRnXrxTIhrJwqp%2FbMtnphFYWIdgGoLWtddqASGuPzdA7YhNaqFZLvVJSEa48LZwUd4YSN4mJ%2Baq%2FctSSXgtmD6gf2emV91%2F9KNj38bHd9l3PX0tq19dMnzFw3OSsgsWjj%2BzqPXn0w4On3e9nZ%2BNJLYFZ1yqkQ2ITFEM5zzwyA%2B1KLJ1kVwpAjsvSTgx3S%2BrQQeiisxv5Ky%2B9kGbnqUmllmSFEhOP6%2FG4ug6C2nJQUPdSt0td36R1IFMgbsUalrqlQAbw4KK1v1BwIH%2FudKqm8NCQbeMHP2LUtVk3rv7Fb4712N3Tt%2FDeaWvZt3%2B8wA7swe6Y%2F5cvjv3I1rHJn%2BAyhLM44ODVn14%2F7bBUDpq%2Fhpxb8c388XfdM%2BrU3veu%2BTws17Pv7O79aFvzMnvxc3aaHRq8sAZX4jgUsP7CfvYntoNhGYquJiAAAKJNPAIyWLjk0ojFqENR0SwqyILNaiG9I0bRYhFECoKD518xh6iplZYz%2B5W8H0OIlBsz%2FtURB6IHmnaT7itJORvb6A94cnbjGZYvHrnSg0zENwfPGTGddQIKJwCEo9xyW8ALGdA7nO0UUg1Wn89iEGQLjwd01iRrUlXEarWAxVcVsTjAWxUBevt4QnM9%2FgxBMbluwe4SAjxpj%2FmcgN0ef3cCt2IAhVVLsR%2F7%2BTIjjZjU9PTeY1ew4I9%2FOvhn8cCeI%2FNf9BnK2Pk3%2FkZ7TF00%2B6HoquhndauXPAGAMIdb09Oqr8gOu6jFpbdQb5IDekccglHi%2FHK2DL%2B4emRymUNIE3%2BRo3WokKfbtNP37Cs0%2F7rxjQ0X2Cvs2Rex%2FNNLuysbxBB7lX3FPmdvl64rwyU44QusOVSzuj8AUTgmDuEc04FdsYcWQQ8COJyiuSoiUsFSFREct4ppwc9rSBlA%2BZuAPZTBx2Az2Uo2CY%2FhIHysic%2F1z59PI%2FdU5CtWz%2BaJB9gi9gKmYebVKZgHgMq89Bc%2Br1GJWSSDAQXQoWAyS%2FreEUlCQsTeEUKRr3B03DZmUZBwxy%2F6S%2FMZmh%2BdTYZHt5OF4oH1LKc%2BeilhJj0UhpMlAKQ6pAbjTRPxSW45Q0CbAac3asPzwaNfrY9LTuyi2ilOhUvnI8SSohNapUJK7wiAaDLZe0dMgujtHRGdt4%2B8%2FHaphRyV9%2Brq5lT1xe9nfPc0a2IrDuKQL%2F%2F9bve3DrL%2Fso%2FQj0kbVrGXCYuWZWXjUhzzD7xn%2F%2BD6GvYau8Q%2BZe8H8LUY7WK6yuVQ2KdHBJ0giCCaTTraO6LTiQaJoshJV81RgnG%2FQbydi5f%2FDYnpjc2ssZGSRrI3Ws1z7dXkYQC8NoLNxfFqVpwaNht1OotVT4GzFDJj9GrpGI15%2BJJiPpxLMg0v6dVv9AONx9jclFWuR6fyFGvI0TNxvRC%2BUjHmnkjBViRGg4Ix0Yn6RGzLWkgJZRVRDKHw1TvRrzc2NpL1J6JN5M0l0dc5snnk4%2BjCBF0QIT1soQCCJCMFzgtw3EBXxTekkO0%2B0aio0pV%2FbIp9V%2BKIgpPrUZJOFCUev%2FJSmsuNBjuVjDK1gKQgp2DnLbuZlRjwuJUAn2MY4nce4COtZjadZSsCntbhh6zRomMm0bbpo%2Bbh4oGrVQLPOume7Uev%2FBCXo1IDsUG7sFsvcaytVpDB7jBS2aqjKCdypaUI4xPzabNJKZdj%2BWvNn%2BtsW4%2FRVB2xkGeEk582NR%2FnE3ZMwaxy2guAqFp99FZ5bu%2BIXqDW3hHqvLVNiOltBiTmueJRtpW9oZgjHIE9sBOOujo9%2Bv1%2Ffvn5h%2F9Eeb77LHuYa%2B94HIt1bArbxs6yU1iIuRjEAnYqZp%2BE8erqdUBRONnA%2Bc75DE6XQaiKGAySLDuqIjKVEtavhpXmSgW%2FmlplYChutYXx7Ay7tLsRZ5PWUePGL949euKoYPr7t1HOh2jK6mdXrVC5wHaoXLBCCp%2BZp8MeAIEa%2BOqmZtns6x0xC7KTL2yZM%2BMtlRs3J6I2pViG8q258sX7OOxndrH0tpz5ki3rzuqxivyf%2FDnN%2BWMCN1SGs8yIxKS3y0aDQdYTwePVm8EMVRGzmVDK5UepkSi6cntnp2Ku8ktw20SOf5bGNm4BcRXyGdhfcfkJ9jQ7%2FVXTzl2vfEZGRLeJB94%2Fzf4%2BLjqZjFi9cuWqJwDVHIFw29ha4V6a0wSQ5BSFrGxTGvV4uH30CFSfoEoJiY4mt0CGlozy8D%2Bo5jgx%2B6jmBbwy4BEI%2B9d3rHnZ0I%2FGN%2B7usnL1ey%2BxM389WLx%2F1%2BINHRbWXfoDLjz%2B6Z07su%2BYN73vyIFFvd959sV3qtf2nfFA35F3FQw8AoDgABCGcv7JvJ7iABSRUp1epgK3CYLmFeJ5qGYSi7k3IEsbWYFQyQrE9PWqJzjM14yPj2OHrLDdhgYZZafDrqOCmQ8UpzGUuFzsLkUnVHMYs4uij%2F2F%2FcJfFxrfee3ld8QDzf2vsC8wo5nuaa44%2BMabh%2BghQAAA4XW1%2FpMcNqJgMuooCJQqiPLlrxWvQhjgF8%2F%2FSgXTwej3O6M%2FNmF1x8zWHdVaFh%2F5uU3bnwXkmg1yXz6aT6km%2BQwpyW6LRdQn2Q0U9TGTotqUGOKqNclWAjJldKcyenwSZ0h8cyc75y5CT3v2xU42u%2BnL9p6UYpSa0Nne7yy%2B1EQ%2F7PaW6%2Fdbm0N88llHNx18ic5qnrv59RXv0YUK93QAQr1q9QNhhyCJ3ORLiskXFJMvtDT5KhocAz63Yu7rj%2FPIY0oTXmKdjuAkfHg%2F60QWROeQZnI4%2Bgq5M9oX4lybrUY5GWGrIBJRpnoDiChTUeOcJmE%2BqKL%2BGCJdcNEhlrSb%2BQ6T8%2BR887zoCZJPFyv1ZQBBscZ6pWKmQyqDLKBgMIoCNwcUdUrMcuuKmVot8AvlzU6qi9roq82%2F0LSFwoaNC69OAIQGdoRMVnSRY2mRUFAYoxcJlTDIOdBSfeJRD5nMSvEEu4B%2BdkS6svyKX6HWC0A%2Bi1c2Kd5c2XRy3h0mgYbo%2F4spg%2FKNEDuCzdrMFFACSacHOUgFevPMXj5rMb9CfMoLfOrSA%2BKF5b9KyigFJCgExOMgQVJYD1TWiQQEwrO%2BG5rpVFUTC3DfaPxsA1vG9pEg3dQ8jnwV9QJea2Zv0k3XKtUKsJLHIlEqwBgjmU%2FLQUfRp9mbCwCxTjhHHZIf9OA8AILRID2BkJ%2Bs1ZoxwDW1OMStBHU83G1fm5MZ0%2B4QzhUdK3f33F8MRKk50lPCUEXzoVc4K1NnTEvz%2BRw6yqMpYkzrFSFGI7jd1ooIt4LJFRHRA24o%2F98LVH4tX7NllapJZ7zS6LZn8QVeLKsVKjrQrxv43GPPvUychyc%2FVveH0F3HR77xCrNs%2FmPDWy89tOWB3js3Y1%2Bb1GPe7Jq5dxTuORZ11TZuHC3LD00fOhwI7OVWtVZygRPSeVUt0%2BD1Wq2mVGqiGX4zmNwOu8HOhccRljzgqoiArYV5DSXF1SDB1sddEk825YBijeRQiVcrvHAqyJ5Pv%2F3%2Bk0l%2F7GwKzGzQ6Wa811i%2FqXFjfb0wlJ1jP%2FDXxwMGLpdcbNHcsTuWvv7ll29fOPPJXwAQpnMOLxWGxbIaK6VuPU3ySmaOmQ0cHDPPzVmNGM9qlJ1DHgNzu6hmOGTcZXYV9f8d8HTbUOn8QrbvuW11Tz3swiw0oRPvyPQu96Sywe9%2B2mlNGRBlVqGU88fB%2BdM97E%2BVvGCx2CV7ht%2FhtgIgmqhez9mjt1FnRYR6bscerSYTkLTqvTcUDPLPA6osi%2BJOiG7ST%2F%2Fn2W%2B%2F%2B%2BTCTLMsNCxmTzdu3Ny4evOmNS9gNlr5647tA%2Frh0V%2B%2Fmfny%2B4Gv3r54%2Bi%2BfxLF0cN44IRk6hdOTDF4jpdzqtkrxGit4uRskyaUyyqIw6paZQyiRZQ632%2B%2BJsUuivNbh53Kb%2Bx%2F2JYp%2Fe%2F%2B7qFl8eecf%2FzBk65bfb7WQLstc2AZl1GMH9v3fJxx%2Fp2pttp%2F%2Bc%2FeGrS8oUksFoBYpHVxK3cVlMjkJ4UaSuj0GvhQMgKIsVkScspUqq0GtY98IAxWmOZS1p2QNgeJSXkPW3DX3mE%2BzrxreeANH3lObN6LH8KHopW83l9G3%2B3TugmsDC9PnPNkLgEKQuYQCzplcKIVu8HC4a56vQ5YpvYtY4ESnSHIzW6Vn%2BQzd72xlLbYWV0R0nXpFDJm6XKvOqvPk5pJekVxrm%2FJekTY2T7teEU9KnHUa%2Bzj%2F8pXd%2BrzbxD1uragaVBdAqDC%2BjaAUkrJv%2FOXKcGMXmJOnbhQXF%2FF3QsHJVnf87VhB3sSqoa%2Fte5X9jf3r7FdPzMgtC%2FccNOnTtwb3ZPb6ZWdOPLzh7amPD50%2F4z8%2F1T4uVE5ICkzt9ewxXYdBbfPqVx54ddvqMauTndXFnYfmBnY%2B2PS66ypEhs2ZFOn5IO08%2FZFvfn4cEPYCCD24nnuUzM5i0nFz7dF7vEkWvcMhVEQcNgOA3q0Y7xjlCatesVT2mALbtRUfM1P06cfm%2F%2BGZhgadoWD%2FjBMnyJuLfn%2Fkk%2BjrfHXnDOow4N5XP4gWAxDYDoDjxAtAwcr9tZ3PJCDa7Ga5MmImVlQ04%2F3EwqZSIqAJJVQc3NDQ1CG3TceObXI7CJWYU1Zc0qFDaSkAubaKudSxTZAEd4Q9TqPRrNP5kj22yognrLcC1z6ISzW5xSTOhATTljhb3v2det7Zv%2FeNGZnLt9g16B6h%2BaqNHZHv0yaP8TSV89QGJTzetxgMRqNOEkSdYHeYAGw2nY7KRje1xiKGfD5zeUyFyuJsRTUiQi0bdclYkzcER73JeuD5E2zOnB07dKSgy2icydpGlxLpQTZOcjW%2FXTo9NjcO5nNT4GQCoiASQHfca2tMVBjHYVRo6SRfJQGoCAfcdruDiz%2BgdwRo66xWHrfb4RPMPm5p0302p1UPDkUPuCLEt534Igi1bHVIVIgEzfAqepHh1bRDypryyOa1DVNmblnVsDhFl79rIuIAXcHhmYdfJicWLNj3cnSLcv%2Fzx9HjQmV99dDDg8e8%2BheuMZq2cnxdUBBOApeiri69x23S22xcWW02g%2FV2ytpSV72Jmrp7m4JG6NDUt95RNPXwJ%2Bq8d0XUSWM2dhSfU9EknsU6wSyDnOwzeLgds1GbYvxvmcVylSHFilGFxE4PYRT74fKaf%2FwOTZcvobX5lZ3PPffii88%2F10Cy2I%2FswyeR%2FAFNmMfeZ1f%2F8rfzH545p1j5vdyW1apU%2B6E8nOEzCrKsS3foHJkBwQhWq7siYrXprboUaHXDzMdZ0GLBqpaeO2hPAhMUr62Y%2BgRHrThpU8Niry7c%2BPBf%2F%2Bf7yzvryabGFc8%2B6xowcMRg1kUqqh9azT5h%2F1GcNr14%2BGTWl29fevfUeYVXHNNSlVexqMKW6qHJyT6bL8OfnOK1pqalecxOp8wtv80MFRHz%2F%2BY2VT5yJ1l63Ul6r3vQ0njtQyL9GzaIW15cvXnjnI8uf%2FfJ57P0SQsajObpM%2Fd9mHXp3YunT59birloRDO2a6z%2F9T38eEzFCzE9okGOpw1ywy6zXm8wEF4DsZrB4FYtg03rc2nRkaE5IY15ZEfvjt4eRQtfaahz6rrsFoaZNlk%2FfTbaJFSenDQjlrnS6XyW1twOtIplrqLzeuZaEfHYJKq%2Frj%2F5t8pdueG5kbsG25Hfpq50%2Bj%2Fe%2F%2BtjA%2FbXzF82%2BdmN88r%2FevSPL3Z6ftEjj7Yds%2BJ13jSzsaHnpjbt7h4Uvrdr2aAH%2ByzaXLm4R1W3O7p2KO71FCCkX%2FuG7BQrwKPWJlwu3jPioEKS1%2BC0OXtFLGGbVeaCkj1xU3kqIVjV5ONWqo52xVGXhtxKNuHyEMcdA5NSJuSy17ZurRiBXdlrw2vN8lyzHQeQZdU9%2F83mRWePngiAsIOvrjKhElx8fh86ZZPJ4DS4PSaz2aZzWdVV7TFqEbMS%2F4daVmW0rJcrhBY127EvX9TPNNQl6UP7Z7zztlAZLeMO6GMSvnpozV2Dj54hp7RcjgiVau%2BHAQ0ms6hHK6jhiJZl%2BNX0NFTicIYQt7ER%2B76ptuiMte%2FtYyP4oI%2F8o0cx9iPtrx6K5UpSgI%2FWinsblz4lNc3rsZipYBZ0yQ7ubnTuxCyYK7c2A1U2Z2Rlk8LhUHSq1BmbsoRPKeSfcBbp2qSdPsY%2B3jNxsk5nLHCcaHqjg0snBF7dzc6QBZ3OvHR%2FdK5QyUaz6j5l%2B4tJbXTp7trW9eRvHClACAIIOpXGzLBdFiVAUWlxQZ3RLaD1pnQ4ngmjmhUfYgteQT9m%2FJktwFVH2Cn27hFSQLxsGO6IfhU9jUdYD0AgfL1LfHw3z%2FsVMqnHK5jB7OBLO0UHfIJCVam1GRJo46KKOdrSUrLvuwFOnfnuS%2FtYTsWfl%2FStKu2xq3cXzuCVn9wf%2Bpn87mrGy5vtC03HtkAsZ6YPCZW3yJl7RUQr6npF0P2%2F5cz0oeZ%2FksHR0%2BTL6D5y31Q6eN685sPxrixetlPl5%2FYlJxu9AFbZRbmnpqlpTq09K3F7TdV%2FbpXcPJZTfEtxCddDvj7d3EK4ZLfHjedrpx794PFH58%2F49MClCxdM44aRZaRxE%2BaPjywnw0Zg4ebdS6Xj7NzZoCl4FhAvMxuZrfluorSo0RSABN%2BtlHzx8nKeJv3cDAiV7Ijaw5Oq4OwWDQ4H8UFqqsXiE2laujso0QScEzYFFXSDxYr7U7DPVNCV5Dj2pcRw4eKhDx%2BZ%2F9jjp45OnvHwVFIePIvB49LSPRvZ%2ByPvJcsjvOq5cRenZNg4zJn2qEvdpyXVQg6tAS%2FXAzu1JvkcpuoIdVglCaojEuTngS3pjfw38rSkOlOZT8nQVNOmbD9lKoU5HFg8t2TMUz2mRrqPyi95omTcisrHK%2FsMJSfuLFn%2FUKvsVinhsvqH%2FRkZSeoOPFuKdcJwrcuYCALV8343AGpSu4xtNPOWXcZcCQNO1%2FXt0PNKk%2FGszp3Ly0IVZPfVC2Lfxb3C5ZVhQDjK7fd5dVemazjNozNTahCARxo62irVJxKnwUz4SzDKgg%2B07k9ljt9sw2apra1KOJCldLR6NAOuqD89OWHNwpPHcdniPisKChY%2BtHv7My8sX%2FFdifTO%2Bxlov4LNXXfvoH7vstCH5z462QkQypUYSDzBpV4Zzk5y6s3mZI%2BdGD1OMS3dlORL6h%2FR%2B3xOcNr6RpxJIPa5uRWkRdPQzZ6Nm29lf5Lfinl2ypuduEqQxqONXTatnD0HG9jQblU05erVU2%2B99f%2FEEzUL%2B%2F1uGTs397MxS%2B7YtDz%2FxwtzsfO%2BU4psZqMkeIVtnHNByAibW0GmBSxtctLd7iwZeNSYn1gJchaVBku9il8r9co82Ja9clCxDnKwNLs0IXQ6VLV4%2BOLx8%2BeOq7t%2FUVXVgmF14%2BYuGrN42MKqeVtnzHh627QZW8mHj01aNmxh794Lhz059ZEFD%2FCHvfj7JZN%2BN2XbM1Onbd8BiscDEJT9Fw8MDrdzWGSj0WYS9URPTS6LW%2FYmGSwW2So5HBScbqsz3UmsTqvThG7JlATlWg%2B33RHrzL7lpjuGUOGj1uaovjBEKnH2HjYCJfY6dmGv72BvYGd%2BARu7j1wgZ5vZ3Ma57Ec08RslQBKsgaxUVYkkUR726QUqUDlmFjgmiYqtbgjFLYRiI5p%2FYebmnxVpXPuF1kupUABdeGdcdiE4pdy0Dj5fmkmCgNS13E07lbRqK%2Fn1%2FmCviN%2Btt%2FWK6OGGznh%2Fs4t9I39VVFmLztSUlwuwZdCiRC2l%2FKk33lG0dHD%2FqprTbw5%2FZmTxqMV9Z8yYvelw%2FcCqjf%2F%2B6K9P9H9t4KLl7R%2BcvmJR99W%2Ff6Ggbs3LPQbRnMF1WW0mD5q1NDW4IJjSKdy5prTH%2BklDl%2BfctXrZxm5rs9r27dWuY8e8oqHTRvWb0MVZPfnuKWXOMUCwWLTQ8eKH6u5TWpiTanKAI8lnpW495N90QCAhzctKeI%2FFxVnZpaXZWcU4pzgrq7Q0K6tYnFrUrl1RYUFBYfwOQGEM7xzvEdt5hxKeSwWDXmrNT0936a1esbSDZAKH1ZRuIuCwOYjJYXKk5AWcoRQByhNPBdhblgFRMxHuG90bnN2obu8KDjc3eYHM1py5DiFU2NqhNXTQOXMWz10weE77sRWvffDZq0880vHB5vXv4PB3les1tv2D02z76xP2YNvdezD3pT3s7N497JOXhMCeTTu3t%2F2dq9X3n575qfMjIXZI%2FQ7b%2Fu6brOGD0zj0rT%2BwD%2F%2BwB3P2xr8GQKCCushU8W1OdzqUhlt5pRQDokeJazP8rQwGh88D1EYJNTvSOakf3feGku9qVGpqG4xTV8ojfbXWGSt18iYUtdZJXEnDlt0%2FedPztWvHjM%2BbtnB%2BHauecmLUlAeov2bk6HHjJkhCcGFoRIcJs1jnI2OaCgRBqd8NhFraSI%2BCBGbICTupxI21YNTrBbMkWKwmUYegHGS5WbPRiyhjVuw2EAfPVEriM1kjLsUhtexzTK9lO0kQ1%2Fdk29mzvXB9yo23qh9EHfeDXhAhJWwiKKAki0J1RCSQr20nattixUJOXfM71Bv9Hhc%2BCdeuaV3LRAIbAAjXdUoX16r7wqGgF3iOLui5Zpn1JodXKu1gsnFoi9Pi0DmtjnQHAR63E4fT4bythikCCP22ZKVVoUS%2Bhp0Bqm51Fnr%2BL2UjHz5YPXLwfRNx36B%2Bl3eeXrwWxYbNVy%2F8n%2BpGrtwd7tNtSfXsNFaLo9jTdPZ89ub%2FpXB47YrkEiRpzW3r%2BoJ09UfBJLnmAoG5dBi5LJ5U83Z%2F2GIGp7L7nGwzHPNQhS3J7yWaAKe27LkytvA6c%2FfPn39g4Oqa%2Bfun195VPX3qwLunC2vmH9i%2FoGZlTdOCgdOm3l0zdZoiv%2FGASic8yQYLAMhwBiA6Q93NqCLLub9OUmpcstOLaHGCwAsItnQvZqjyadHEUVx6cz%2B0JMt%2Bsjy645vIQH91edGont0XbPj9msiaPXiIVI2%2FNHhk35IePbMLh0yeP6V6%2FZPPA4KflKlzBqAsnGkVRaCONIPUOstxn%2FMhJ%2BnrRKMzxUmcTl2yP92s88eVhKvIfTe2KDHRmKtlyd%2F2PpPpA3vsPbRzw4w1sz%2F8snbmA6Or7%2Bw%2BpUPP8mXDl2wVvqx%2BwJu%2F%2FYmVHWb32L5q0oAeXXrkBYa2LZl5056LnkfvwhP6xD0X5YAIN3pyAOvaT85494494cnCD133dnN3O1oEqNZDegiV4IHicLJoMOhs4HS6dC6%2BLeC2ulLMRKks6LWkMWHX6XqfaELKyMnTOhsGs13PNCxJNkz%2BZ%2F0Qg6GhAeewK698pKaNLwyr2caOScrsU1mzMEJygRWCYYcgIoBopDa7TidSq4jaQa%2F8RJkG7MortqVTEvILI6Z9PL1rzacn%2F%2Fov0pY1S3t%2FraYhx5WrKDBA2ED6Yh0dqvitsEECMJuofkCEQsyAJOqq2jzatUOseZR82L1nz%2B7xMwlZzIVNAOBQIge7xQhgUfrILXa7jtog%2F71CzQq3qDNoZYbSkOzBpo31obZtOw24a8BDQx4ubWIXRk7UT9S1Kckrtu%2BbHgSEvqQKP1d3kPleHwFKDSZuX2mGBGlK3sc5EGO7FpnEzw8MXLlQ8pQsvpNv4K4ld9471NP2%2FhFAoDt1kaPi26q3zgo7lONnEnBvHfMfbr3iP964r4XTTjgzJSYsWHJ0V%2F3qF3eu3%2FB8lN07fsKwYRMeGCZM3nHw8LPP7T%2Bw%2FTH%2Bb%2FYjjwCBau4hdsY9BF%2BZRr1AgMrEoJdu5R%2F4fBhELEUxdqM72c5aTGef1%2BIQVnvjPTGxCb3wfhzek01IufGW24c%2BAOIZzq8gnCYLACAbHrsGKMNHNDV6EPR%2FosTBA8ziYuCw7Tjs%2BThseQz2CwV2Ou3PYeV9xMZBVchkAMkvnuAQM34FFf4CxEZ9KD5qXmxUIBBiM2mNMBxSoY3Sba1zpQWwlbVVwCXk5EIqmmhqKj93lzEgkm2zG3tH7IEWecP9w%2B9rGZ4ohslCYnXDUm9MGF2J0ihbnJBfkf59Rs7q4vv9Y9X1ozq9%2BdbRTwPhSMnYbk2zOnXtXqqkXKHH1tZM7NOvw5ip2e0XjzjcWDEhMjB%2FyIz70jFvcU%2FeGRvmVKrdoPJ0bltbq9R1v%2FYaDgTdn4hNzIa84ltA1MLCGETS7SCOQSAGkdoSIv86xGsg3HKMrOsQE6CUQxiaKGmtgtyAkWIwIMNxKIN5QK4xAIk3MIIVnNA%2FfAdPM%2BwIOhPaRNEtuvROycm7kHm7iMHM7wabASUqOtByowkglmHm5an5G8bOiYau9y%2FSAF7vYVQ2zqR5UUeUXdxLDtMT0SMkNXqR9Lhag0cfURpetbZG%2FAvZr2jRHOZSOkc5ztkqzrMIAf55rM9N5VmbON8PqhxBs8aRmyFqoTwG4b4dxLFrV2MQyS0hsq5DTACHylWC%2FhhXgUA%2BgFip9id54Z5wod3t1glmAKcgCUk%2BrogS11erXC6%2FJJ%2BWL8jcIsuyoNfbqiJ6Kri17tNEXW55EDWhHZV7uVhLarxnM5QhVqpNqbM3bcJ9eBf%2Bbn%2F07S9xNlt4lIyKtaWSunqyntWxHSQcba5nhhhNYrmqS%2B3jurSmJdWx7jiVLwUx3sKsmLb5bgdRi4YYhP92EMegKQaR3RIiX4PgeGy65RhZ1yEmwMdxnW4b5z7CQrQJJmEDGMEX1st6ino0mXXgy0%2B0x2rMHLeOu0ewbTh8BHua7RiLw9m2MThS2DCa%2F3fbaLyfPTsaR%2BCIsWwrAOXzv877434CJ6RAQFkZnnRvmsAPExtcAA6rqFMCF0%2Ba32f2945YHTpRoDazQHnjnES1lrm3%2BFq4%2BYgL%2Fygm0lglwc7fxSoM1BZEj3qKzovZ1zsLv1479tEH9ykddGe2jnx04rGmh6Mjpu%2F9zy%2FNwbFk68SdWpPhmOUDNr2FDyl9dMMXV699l61D26bmvgOVZjp2ZRN9qTc7xVdOrI9LlUxpXLoVMfk7Nb7fDFELp2MQKbeDOAZzYhAZLSGyrkNMgA3xlRNMtEfCbHWUTvF5CmKjOFSQeO%2FfrHjvH9%2BpMOtFUbKDBB6vWeALiC8fs96sl2LdkZoVarkRrHVH8v9lCDcaJGexM%2BzzQ42NZ9GHnuYrO3mL5LvvUdvFy4zXWq%2FB6ei%2FV%2B5Y9yQAqv0oW6R0aK94ppxcMTUAXpMJUu25YkGhw5Hbrl12RaQd5LrV3S5tj%2Bvm0xpaZCBL2vZIQjWCo6Q2%2F2lnOTKUqE%2F1UYJv5ZAOKb36Lxv32p%2BOTCrfUnn27ofnjujZq094yVz2TcPf%2Fv7%2B58IPi6dX3OnPyC0L3b917LZdPTcF8w%2F0mVQxcHZN%2BcTisqHF1YMuXO0r7Nv3562c52pXkOTnPL8TACXovgLUVWlXOH6L57V56vN2t3t%2B7FP1eajFc%2FGz689fe%2BUW3xc%2FvP58whegruiOKsCNGRZehzj%2BcwyiTQwCqAIhKbtXOVDENWdkOJQLre3tedlIaF%2BWlJTe3ghi5y4pbYNtKyK%2BAqGgV6RD66BdECyZQU%2BxzqKriLgsNtBaO9R97viBxZsNL1corarUot3Jy%2F%2BqHSkOv7bLFExMz5TiAMaaVIb%2Fwg7NmPnUc0VVb4%2Ba%2F3xO8a6Hj%2F0reqcOO967tWbwurHswpy73lz03Mt7Jg1ZtfPpwzvoK7OWGon8BOY%2F%2ByddrEUqp%2Fie%2B4eMYP%2F9%2ByRWGwjyVpav5k5sXH9%2F5MVNo2XdQ6Sw4ektO5V1zXc4lW4kzreeMU%2BJFaqnVDtxVIn1ikl8vyqRVppEbn5e21993vp2z4%2F9rD7PafGcS1R7PsEQk1d7TaLX%2FgqAo9URXolZHHYXKGOgqI3xIgApTICovZYRgzDHIa79iUMMSoA4xl6IQTg0iG84RDrHQ4OYwA4CqBbHZ9d89VRlx1zyq6euqsJ5fsnUqhXwYN5jsTttkj7YRp9eETFSj91nsfLIR0%2B9LqSttY3QmLJw6%2F3b430QyITiIlAqxdlBMcj%2FlHpUk%2B6gRVqnV4kwil39%2Be%2FsK5T%2F9sUYXdkp9n3vr4YN77ll3OW%2Bpzc8v7NpC3vppe0vPUtC7Ev2FzR%2FcQmlWcInr25%2BcGHXgtrefZ6cNHMlm8b%2BtaaRbXjh4Aku21jXgbraqmOrzaLyJC1RNqNUrt0Vk%2F1HquySb%2Fe8drD6PPN2z4%2Bp45Ngi%2Bd8fu35a9%2Ff4vtcJtrzCSkx3Wh3fS2Ph2YhR9gJVO1CD4WTPAaDTSACKjsZTifKZjMqJ%2FQQ8tX1yhOfG8nPjUN6iccXE96Pp8ejezqVFHXsFCrqot3J8iefZP%2Fq3KW8Y1m4nPwYfwOUY3tEGCUsjvv7PvxEa3orl8vQ6iZn76u47uxt1M%2Bb2Kjnf3P2ZWVxBdGcfXw7QXSpTl4Si1SnX6L2X2yaUjNt%2BDw0Xd40o6Z25NzmV4rxTJ9pvAljfYjl95r63Iuxboyetf0XbEBQGjL6zuy7cMOvu8aRRcWffLRjTHRO6DzXjNjutSq5e2KSf0PVDI8mmZuf107VNOfWz4851OeBFs%2B5ZLXnE%2FyxtZarrfrYDqw6wr2xGWIjpKsAWu%2BI2t%2BVyXex0jOkFJfNZpfsrQMOsKeYPHqqT%2BNdjB7q5euvRZPnb3oYUWsXUUomXo%2FW9JUVbx7J4HugOKR748Sz333%2Fyd8fMwk63mSElTs38OYRzF9LmyID2Efsvwpjn83sV86KdcDaFQ1NOXQi58u3ce%2FZMxo1nF6Nmgn7Y%2FTmxejV%2BpuEyuv9TaJArLfsb%2BIw6gkU6UvxFLggHe4Ot0uSrE5nKpjtqZKY4bc6eDxpBaOR51hGGj%2BVwg8UUAc4b5zk4det2ia1fWVJO2TlvZF9aafq7NnSl1EYN4y9zJ7BYRgeN5RaonxdR8%2BRfs09fmXXEH%2Becs89LqzDiTgeF3ljSZmwlZ1m55QTGn6hNi32qy1yujAU0iAXCmBQuG26zkI8nqx8t7tVlk4oDOW1Mbbh0RHvSCKixdiunWg32pIyxcyKCIieFj7YoVjVRAeseV9R9a0q5rdyvYktTFkxnyvWs%2FNzup6pu8B%2BROnrBae6djz2%2BInL0aAOq4Y%2Fe8%2BQDVf9G154buPm5xvWCb3mrjKRjN%2B7vp4xEwtQh3q8Y%2Ba0KbPYz19MYDO5tw1mkLIPz3985rOPP%2F10x9NP7wBEE68Q7pH8YFF6wGWwWXmN0KJs3CSfKkwsE%2FIgzx1QzhIE0DR3nLfB89CcmUMWLuFF2u%2BWPJGTu3C%2Bt3TBoiIAgpP5iG2lhdp%2BkEMyxSpMejflw753u9KSrHUfcfpp29njxj46a8zY3z3YPRTq3rmsqJu4b9TM2lGjps8c3qFLlw78AkQdn%2Bk78TN1N5wPn%2BSzg2gC%2FnKrZc73En4mKLYb3o4vKU6BwvQ0olRTQpJEXXkDB%2FTOLAxZRpmn39tucP%2FKjIL21tHmqcL5rLZZnbvMquO3Tl1n1aldEci5Ff%2FFEyCCePMvngykw%2BK%2FeMIh5f8VUtYgffQ49lB7%2BR0HUNTpQenhP6WBBkscHEs5y%2BQZ1WF29yx63DMUTVyicNM3RdTpRZly061Rq55Od5RisXIk%2FbGKDPGARzmLjqmfcouq%2Fe4LkcAKAEQZizSpY1khOWwS0KwXbHbQUZP2M1%2Bx3pUgbyrhA%2FvjeGG9tcNjs9M6maNnb2B4FnXTeR1Tw7TF6DZldL0ZRcHuMIs2WRn9LW10DWe%2Fei9JQJ4ELUkjOsxJ7m6%2BQYbnXvbTY2Ow6D6FHh%2F7lTTBZZSVLOtqB8g4iCCHzeZK%2BdC1Y38ymWJ3vb5SBnteXszG7cAfyXB6EYzgPBD%2FURrIP3Wr6u%2BOqQ9OmDF94qRp5JtZj%2F9u9sx5C%2Ficym8TiHvgB8gGOwAEwU4c%2FM4nELJA1RaoJelK5ZPTbBAIlYikk0WuCInpvPM3e2CJ%2B16ASv2UpGqjUBAIkMRRWhRNSeqtK6QAyGYBkJXxUyYgEkE7ZYLxAQJIVjbPWkkXx4%2BZIJRzr1gnnuT0TQ2Xp3rTPZ5kI5Hl5NZ2wZDslYJtjN4kb%2F%2BILklMTUvtHyFp1rT0tPw0qqdJaUlpzsxM6BvJlJ0W3iDhg5ZN3bwwdMsfKruRW2ZQbuRlt9evdcorVpPyolGwuJT%2FdUDsCHUKOz4AWfRHQvA065Z1snHLxtW7%2FoddaNewgZANO4LY%2Bn9OPN%2BrQSxmD80rC7ed1%2FRm9%2FpuaEacl3tH9TwUsfXIpYPVzprl6o4iBXdYT0AUtDAtYc3y%2BEuJtrjkUwGEVlI650ylKvE%2B5ABA%2FHNTwuf9lc%2BBgItUcf0%2FAgZwQedwuks0ypTyaYjSqY%2BiqLe60l3E5aIWOZ1mxPuV70toergeGwR4g0v8V2eKi0otVJZJ05xV7GHcsHQO%2B0ESk9LSjDup6913x%2FKzVKdeX9THFGzb1v5TDDfpQ45bECoJ9%2B43cBcf0nCXXr%2FF8%2F43notvxJ6rVEnqc1TWG05X9cp%2BAAQRKWiHl2Knck80KgqljCAC4Aq1QvJpPHP6XaxCImp1FiUv6pwAUXstt2Ud9NrbHGJCAsQx9ufEKktsFtJBzroOMYF9EK%2FV%2BGK1mv8PflNJUQAAAAABAAAAARmahXJJOF8PPPUACQgAAAAAAMk1MYsAAAAAyehMTPua%2FdUJoghiAAAACQACAAAAAAAAeAFjYGRg4Oj9u4KBgXPN71n%2FqjkXAUVQwU0Ap6sHhAB4AW2SA6wYQRRF786%2B2d3atm3b9ldQ27atsG6D2mFt2zaC2ra2d%2FYbSU7u6C3OG7mIowAgGQFlKIBldiXM1CVQQRZiurMEffRtDLVOYqbqhBBSS%2Fohgnt9rG%2BooxYiTOXDMvUBGbnWixwgPUgnUoLMJCOj5n1IP3Oe1ImajzZpD0YOtxzG6rSALoOzOiUm6ps4K8NJPs6vc%2F4cZ1UBv4u85FoRnHWr4azjkRqYKFej8hP3eqCfDER61uyT44DbBzlkBTwZD8h8%2FsMabOD3ZmFWkAiUs5f4f2SFNZfv6iTPscW%2BjOHynEzEcLULuaQbivCdW5SDNcrx50uFYLzFHYotZl1umvNM1tgNWX%2BV%2F3gdebi3ThTgVEMWKYci4kHZhxBie3TYx3rHbGr%2BPdo7x4dIHTKe5DFn%2BO%2Fj%2BW2VnE3ooW6isf0LIUENvZs1gf%2FLHojJwdpplCP5gn%2F5gi26FoYa19ZVFOJ6Sxuoz%2Fq2Ti20IKVJdnqvYJwnhfPH%2F2f6YHoQF30aZaK9J8T026RxH5fA%2FWPW%2F8IW4zkpnIfoFLifGB86v0ffm5nbyRs5iaHR3hNBD0HSfTzoPugRM%2BhdN0x052KoHLBS0tdgpidAiEesDsgWYO73RWQz2LWIwjqnMe%2FuYISQtlbyf2NlT9Q9PoBcBnrO6I5ELoMeyHkNnIXGdv809H%2FDXNOTeAEc0jWMJFcQxvFnto%2F5LjEvHrdbmh2Kji9aPL4839TcKPNAa6mlZUyOmZk6lzbPJ3bo56%2F%2FCz%2BVaqqrat5rY8x7xnzxl3nvo%2B27jFnz8c%2FmI9Nmh2XBdMsilrBitsnD9rI8aiN5DI%2FjSftC9mIf9pMfIB4kHiI%2BhWfQY5aPAYYYYYwpcyfpMMX0aZzBWZzDeVygchGXcBlX8ApexWt4HW%2FgLbzNbnfwLt7DJ%2Fp0TX4%2BUucji1hCnY%2FU%2BcijVB7D46jzkb3Yh%2F3kB4gHiYeIT%2BEZ9JjlY4AhRhhjytxJOkwxfRpncBbncB4XqFzEJVzGFbyCV%2FEaXscbeAtvs9sdvIv3cjmftWavuWs2mg6byt3ooIsFOyx77Kos2kiWsIK%2FUVPDOjawiQmO4CgdxnAcJzClz2PVbNKsy2ZzvoncjQ66qE2kNpHaRJawgr9RU8M6NrCJCY6gNpFjOI4TmNIn36TNfGSH5RrssKtyN%2B59b410iF0sUFO0l2UJtY%2F8jU9rWMcGNjHBEUypf0z8mm7vZLvZaC%2FLzdhmV2XBvpBF25IlLJOvEFfRI%2BNjgCFGGGNK5Rs6Z7Ij%2F45yNzro4m9Ywzo2sIkJjuBj2ZnvLDdjGxntLLWzLGGZfIW4ih4ZHwMMMcIYUyq1s8xkl97bH0y3JkZyM36j%2F%2B58rvTQxwBDjDDGNzyVyX35Ccjd6KCLv2EN69jAJiY4go%2Flfr05F%2BUa7CCzGx10sYA9tiWLxCWs2BfyN%2BIa1rGBTUxwBEfpMIbjOIEpfdjHvGaTd9LJb0duRp2S1O1I3Y4sYZl8hbiKHhkfAwwxwhhTKt%2FQOZPfmY3%2F%2FSs3Y5tNpTpL9ZQeGR8DDDHCGN%2FwbCbdfHO5GbW51OZSm8sSlslXiKvokfExwBAjjDGlUpvLTBY0K5KbiDcT672SbXZY6k7lbnTQxQI1h%2B1FeZTKY3gcT2KvTWUf9pMZIB4kHiI%2BxcQzxGfpfA7P4wW8yG4eT%2FkYYIgRxvgb9TWsYwObmOAITlI%2Fxf7TOIOzOIfzuEDlIi7hMq7gFbyK1%2FA63sBbeJtvdwfv4j28zyaP8QmVL%2FimL%2FENJ5PJHt3RqtyMbbYlPfQxwBAjjPEN9ZksqkMqN6PuV7bZy7LDtuRudNDFwzx1FI%2FhcTzJp73Yh%2F3kB4gHiYeIT%2BEZ9JjlY4AhRhjjb1TWsI4NbGKCIzjJlCmcxhmcxTmcxwVcxCVcxhW8glfxGl7HG3gLbzPxDt7Fe%2FgY%2F%2Begvq0YCAEoCNa1n%2BKVyTUl3Q0uIhoe%2B3DnRfV7nXGOc5zjHOc4xznO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Z9A7%2BtETl5RXdNNZGDm%2BvXYXWjgLDRzEhoLBAYv0%2F0NHAAAAAADBQ8CvAAFAAgFmgUzAAABHwWaBTMAAAPRAGYB%2FAgCAgsIBgMFBAICBOAAAu9AACBbAAAAKAAAAAAxQVNDACAAIP%2F9Bh%2F%2BFACECI0CWCAAAZ8AAAAABF4FtgAAACAAA3gBY2BgYGRgBmIGBh4GFoYDQFqHQYGBBcjzYPBkqGM4zXCe4T%2BjIWMw0zGmW0x3FEQUpBTkFJQU1BSsFFwUShTWKAn9%2Fw%2FUpQBU7cWwgOEMwwWg6iCoamEFCQUZsGpLhOr%2Fjxn6%2Fz%2F6f5CB9%2F%2Fe%2Fz3%2Fc%2F7%2B%2Bvv877MHGx6sfbDmwcoHyx5MedD9IOGByr39QHeRAABARzfieAFjE2EQZ2Bg3QYkS1m3sZ5lQAEscUDxagaG%2F29APAT5TwRIgnSJ%2Fpny%2F%2FW%2F%2Fv8P%2Fu0Bigj9C2MgC3BAqKcM3xgZGLUZLjNsYmQCsoGY4S3DfYZNDAyMIQAKyCHTAAAAeAGNVEd320YQ3oUaqwO66gUpi6wpN9K9V4QEYCquKnxvoTRA7VE5%2BZLemEvKyvkvA%2BtC%2BeRj6m9Iv0VH5%2BrMLEiml1XhzPdNn3n0rj6%2FEKn2%2FNzszO1bN29cv%2FbcdOtqGPjNxrPelcuXLl44f%2B7smdOnjh09crhe279vqrpXPuM%2BPbmzYj%2B2rVws5HMT42OjIxZnNQE8DmCkKiphIgOZtOo1EUx2%2FHotkGEMIhGAH6NTstUykExAxAKmEqSGMFl6aLn6J0svs%2FSGltwWF9lFSiEFfO1L0eMLMwrlT30ZCdgy8g2S0cMoZVRcFz1MVVStCCB8raOD2Md4abHQlM2VQr3G0kIRxSJKsF%2FeSfn%2By9wI1v7gfGqxXBmDUKdBsgy3Z1TgO64b1WvTsE36hmJNExLGmzBhQoo1Kp2ti7T2QN%2Ft2WwxPlRalsvJCwpGEvTVI4HWH0HlEByQPhx468dJ7HwFatIP4BBFvTY7zHPtt5Qcxqq2FPohw3bk1s9%2FRJI%2BMl61HzISwWoCn1UuPSfEWWsdShHqWCe9R91FKWyp01JJ3wlw3Oy2Ao74%2FXUHwrsR2HGHn4%2F6rYez12DHzPMKrGooOgki%2BHtFumcdtzK0uf1PNMOxwDhN2HVpDOs9jy2iAt0ZlemCLTr3mHfkUARWTMyDAbOrTUx3wAzdY%2BniaOaUhtHq9LIMcOLrCXQXQSSv0GKkDdt%2BcVypt1fEuSORsRUwgrZrAsamYJy8fu%2BAd0Mu2iYFhexjy9FIVLaLcxLDUJxABnH%2F97XOJAYQOOjWoewQ5hV4Pgpe0t9YkB49gh5JjAtb880y4Yi8AztlY7hdKitYm1PGpe8GO5vA4qW%2BFxwJfMosAk2X9n9X2cVVfnA36pzHNHJGbbITj75NTwpn4wQ7ySKfAu9u4kVOBVotr8LTsbMMIl4VynHBizBEJNVKBAfMNA9867j0InNX8%2BranLw2s6DOmqIHBIbDfQR%2FCiOVk4XBY4VcNSeU5YxEaGgjIEIUZOMi%2FoeJag4mEB3PUOweCaG4wwbWWAYcEMGKn9mR%2FsegY3R6zdYg2jipGKfZctzINQ%2FvxkJa9BOjR44W0OpTKAskcnjLTcKyuU%2FSVIWSKzKSHQHebYW9mfGYjfSHYfbT3%2Bv877XhsIwGzEUaleEwITyE2u%2F0q0Yfqq0%2F0dMDWuicvDanKbjsB2RY%2BTQwOnfvbMUhiNPFyDCRwhZhdjE69Ty6FjoOoeX0spZz6qKxxu%2Bed523KNd2do1fm2%2FUa6nFGqnkH8%2BkHv94bkFt2oyJj%2BfVPYtbzbgRpXuRU5uCMc%2BgFqEIGkWQQpFmUckZe2fTY6xr2FEDGH2px5nBcgOMs6WelWF2lmiKEiFjITOaMd7AehSxXIZ1DWZeymhkXmHMy3l5r2SVLSflBN1D5D5nLM%2FZRomXuZOi16yBe7yb5j0ns%2BiihRdlFbd%2FS91eUBslhm7mPyZq0MNzmezgspUUgVimQ3kn6ug48mntu3E1%2BMuBy8u4JnkZCxkvQUGuNKAoG4RfIfxKho8TPoEnyndzdO%2Fi7m8Dpwt4XrnSBvH45462t2hTEX4Bafun%2Bq8jIzK%2FAAEAAgAIAAr%2F%2FwAPeAF8egd8lFXW9zn3PmX6PNMnPZNJMRRDMkzmDYgZMRRDCEmMMUPJIgZEepHlRYyIiNhRUdYuS4ksy9reLDYsdOmLLC%2FLy7L2CgKrrCJkLt%2B9T2YyYPl%2BD8804J5zT%2Fn%2FzznPBQKbACSTvAEoqJAdtUhUJpQYjBJVAUrKSkIOJ1ZUOEKOUGkfV8ARiPB7E72m87WJZF58ibzhXPVE6QsAAnMufI4H9XXsUBh1UpOJSJLmQNWqNsasLkKhsrKnA%2FT1HCF9PQzSAPYtD5V5PW4lmFeIK86EcCRbObLp2lGjGxpH4%2Bf0wLkjjU3NDSNGxYSMxbSdDkzomhE1SypQalCISvniob1lDuTL7injC1O%2BMr%2FxmeJtxeRt%2FiJviJ8mmrjFOr0BJCZ3QAbkQFu0ypCZ45HcRqNJQkiT%2FLKsOO02s2Ryudze7CxVUnw%2Bv9%2BtmKTcgEEymzPRlgN2e5rHaeOXyeeiisnJFagMOSsqSkr45kL8Tr450SfM5%2Fy1V66pGvBwTV1BcYcDEX67QjQkbo8cigTplyVI2OHh%2F6zdXHO4%2BiR6SjoxMPzo8O21h2tPx7O2lmylNV%2FtY5Nwubj3fXUA%2F8BuFveBr74CoNB84V6pSnFCLhRCL7g7OijfR7Oy3FalR49AcXYRFBnsQUcgkAYO6H15j6wiAGu%2BI%2BAo6pleFDAWKJZMX%2BaImNunWOpiskIVH796ewAqEzvV9gqX9nQ4Qd8S%2F1V%2FScSM%2FrmsTP9FfNUNIvzuVlRPMFxY5PB6fY6iwsJw3%2FJIOOTx%2BlT%2BWzaR%2BxYWecrR7fWFFanqi%2F33nnn9%2Bv%2BMvXr7mk933%2Fv5Gy3PrN6yZjg7WFV1D5s2oGoh7nx%2Bk2vvTrkeDT0HKlieXvvakkfecj%2F5uKnhm6iNHRk27a6bevTL%2BclH3ulVkX3cBTJUXjip%2FCDvBiO4wQ95PB6qo%2Flen0%2BWTRpofo8nLa04mB3UgpeX5PbMLEzzKz4%2FtapOlXt5a1llpXhN7FF7r8zJ37o%2FiN15Q2XhvsE8RdajOqwFyrwFGETXr%2F0F9u9dNnZsWW9869X1azow9qe%2Fkpc7D52mPRf%2F%2FHcJFrR1npvf9sWX336EO7%2F9x7lqeUMn6frt8y%2B%2F%2FZD%2FJjzecOGEAnxvWdzjpTAzWtHbGjRhlhdMXqvLVZSWnl5kpSoChLJVtcwXSPea8vNLSrT0dEnTegyPaZIUqIlJLnSKhAV%2FpfBuhb9EbE53bYVIM%2F3S45hfiZ%2B7th8IFPHN5QuXcscms1vF8kiAZ2qBsEEEFQX7FnJDeNy%2B8nIF2JLZ7%2F77DPtk3rJhVV9vefPD%2B57CzCF98cr82%2Bs631s4%2FvbxrKPf1XjT0Iqrh%2F%2BuafTMxR%2B9e%2B%2BmxqZnxzzx5l8embstxo7PeX0Ju3DjoqYJA7C611hyd3hAtH%2FzpD5jAAVm4DM6Zjj5C5WIAIu9DuxCIB0kuvEBAKGBbSTz%2BL%2B3Qm7UZjaZqCSBqtrN%2BVQgmAMTua3joeaMhBTicTt9wULS8PSj5x58eNk9Z5c9RUrRiPte3MTKzvyHRd5Yh9vFygP4yq3JlfmyfHG%2Bso1LyP%2F5yqgRNVjuDPclRSGvk7Q%2B%2FejZJY89%2FOA5sTT7ifVb%2Bzru%2FOEM7tv0EisFhErSJGUpbrBBOOo3ms0ypVZUVc0umUyqilarYrDxpN1aJrKQuykJwvwz%2FyPMUOCTXSqlRa6CiEzJy8U4J8DWf%2FjpM%2FeeOMZeLMKpxYqbPTyx088Oz8MKtnMuFqefm4gzAKEZPpUqpG1g5qivGRSjkSKAxWo2giJRKOFCysqS4vjNhQXCAa4Bxz1HEI%2ByNlx0FBextqOk9SjezW49yhaIHbGzuBtOggKe1wgFWVapDCXbdSNt5ghfoNCgMxLA3X1v%2B%2BdV%2Beg%2FvIsdR9MJYWVcS5rISqDg%2BCuVQQLkSiTc7QoHPANIGq49dw6wi7GwgmvujZoUrrSRNsaMLqjsmfjnkYu4aU6SlJZ28xECNyqt0mMrM2pBricBidueiNS5iDcRA0ir4h%2By4yQgGJP%2FDwLVF05IQ%2BW9XLoPLou6LYoTFPCnGT0jYkaV2kfEaBok8y%2B1kkYCeeDQnIEyQI2nUrlDE3kkDT3PzsfZhXMoxZHGw2OmTRl7w%2BSpLeQoW8gexttwNi7C6ewO9hD7%2FusTaELr8eOAMA%2BA1nJtTNAj6jJKAAZEs8WgqihJRgX9wJHOkYoXkf8iwR2RiKKqRRiitWw3lYdnr30cDzNae%2F8Tw%2F1L3sS5gFALINXpKDQgmp1pQxW86M3O8aoqMTlNtTGnSjATM2tjXEgCYfS3hKyuCkFHkzBeScI6WKhFVxLuD%2BEQLt4TkOo6CU5f1drrhvrrVly%2FdspDayfe%2B8EtQx7fuJG0HcbZLyyc1r%2B5qXbojtE1xa0dt4x%2F5c31r9hA6MYtP5DrVgijoiV5Po6KKs3MBOCVStFlgez8bG57v8%2Fvq4tZ%2FGilfr8pX7VqJm1EzJQGeg3j5%2FxX8ruWMbrG4oduFyXxMEFyQlkpkMeJTvhKbCMY1j%2Fo2ykPlEmSr335KxvYPvbZydev29P65KNrX58%2Bc92zfxv6%2BKil76PnU1Sl6fe%2Bl694%2F%2FzIweMjUO1ZPnH2TU3fxqa09%2Bl%2F6OHXAQgEAaSZuhddMDiaZ1epkRAzpTKAxyVzrnGh7JLreGi7qF1VqO5WvoGQ0DwF584uo3cpz4sCBzc9T9SAQPKgoqI082X2QfxhshCzXmZ5Jmoo6MvOYAk7gCWH6cudN5%2B98oSroZZNBoRWbuEw1ygDmqI9OZ36aJrbbTPYqIFmZrldRpdFA27ONADF4%2FHXxjyKYhkRU9LgYsIJ6e%2BpgHAkGUjkgUhLSBg2N9w3IMwpylMaKScT%2Fn6efcC%2BPLN8xActmMGOhu%2B4bH6EpsV%2FyAgOoO0n9%2F%2BHnR2B5h7hr455LAPJ1%2Bwc%2B1i1AYGhXOs6eQf4IR%2BuigYUp8WSlweZTnAWFNpz6mJ2u4d60kbEPGnUwENEvUTbVJbqTCjIAQJlPo8IXEUNdQEJcCAhMvd%2Fgvy8Q3E6TmsbErv%2B%2BZ2tRuuN%2F7f1X%2BzsNyv%2FvYhoN066sbVlcRuZiq%2FiWvuP7rEb%2F7LuhyPfsFPLMffdxfMnz7%2B1fu5qEc0RPdM6QIHLo14FgCDKRFYNMiWU1MaoAsLfupYpQwobhpDby4OfkoJ4iZQWPyy9jNLm8wLSdEtUyzvBB3lwOVwbLXYqnl6U%2Bo3%2BQo%2FHnp1ttBtL%2BihOZyBQXGwBS0Z9zJIGwfoYXGwTYYlLnVeWdKFwoCSqAj0%2FLqoW8qk7kShFiku3kK9cfCPVHyDedt%2FqpeyLL06zk4uXtU1DyfXfE2fPmrng0Ccjbhg%2Bflxtq7zz3ZUzXhrU%2FO6sjqN73mrbXD2iY%2FKzm89vbBp7Y%2F3VcwaOI3vqq674XdnlYysH1Ym8GajvcgekQQFURnOzZJfFEgyCCwqLtNy6mKZRrzd9RMyrUkMdR%2BNfdbfu7DIBzCIaw0J5kS16edcXuNOdBXwbyU1J1ewxtvTOqxtHP%2F3%2BJIOl3xOz3v0nmr9Y%2Bf2d8VNjp4xrbbm7jQ5mdazJdtYzasufW2r%2B83%2FH0fEE%2B3DTXbdNum1%2BHfd4stOSZuvMURh1OXnyAPjtnsaYXeumMPAnaOwXTOb4NVYT72PqU%2BxG7xcf6mPNQAQX6%2FIUcHKmcllV1UUlBRXFZdIaYyZNUjgzJ6Rpm8u6mKrApzM0vUgYbrTrbF2SFHbS18Xa5GhSmF5P7JYqZODSiqKajIK%2FVYNEqQIEZRigFxShVFwJURhGD6JU0ZlDP443kvW7ccNSPH2abWFfCns140peoYDeNeZHHSqlRgkMcp00ViJSV30QKhkjagSue7JMQH4304%2FFkrTgKC9Tjh69VLueUScBrhFPNVAUJJTKEur6Ce0u1dCFuorNZH28UayJb2IaDjjNtKWsWmioXPicrpB365FYFc3LTU9PA%2BB2dlqdhUV2QCMFCAazGmNBl900ImaXkg7mVCR4KJVkyfpRJFR5F86oRckaXOFoe0m%2F7W6YevPVY5uWvzf1w3P7vm99YGyIHU4139VjH6ob1tLvqqpxR9u2r5m2onVI9RVXsHUX9eMTLkxQdnCc6AuVEIv2VCsq3G5XOGzt77rMZaWBtEDvNOgN0au8hkhEMg3QTPzqkVUq5feAklS7rOucMleiPU7ivc6kQtuiYCqrfNTdlVF8fxLxCKgtj3iUQC44%2BjrzOa06UfyDSESH3x2j106vnpWmTXnhlT1o%2BUfT%2Fqt9NdGau79%2FZhf73%2BexCP2T2Pz%2FZefZXez6I%2FgIyv%2FEkRs7Yf3IFpM1FG27n5x%2B%2BNQ9Q%2FotPPTGQSQBH%2FPd%2F9Yf%2Fvjjne1sx152gh0p6f3eKHwYW3%2FEZZ93sA627uCCpcfMzwj7AIC8WN4IKljh6miAWKkBQZHNZgqip6CSZLOSmpjVSs0yBZocIpTouZRiZWGortKL8gsDiITjI5Uik%2BLHJ7FXiYTziRJnywoMgWdwNFstbzxXRcbikdvy72CqiPvXAaQznI%2Ft4Idczsm9VLdbktKzzeY83vfZ7QGDlqalDY9ZNLRSTbODPb0mZneCvyYG9BLcSxY9KQVDSTe5ArmSp7voCQYwWfE4HPqnwOu4AyOYNn%2FC%2FfPZh2fjx7C84%2FaZ8xev2nXHraxT3vDKpkVrHaacdQ%2B%2B%2FxGdXTuy8Zr4NrZo3PgNgDCXI%2FUBnh9eKI36VZeLN%2BNWnxscUBNzSKpskmtiJleyNBOvSfVEKuQRD2%2B0Iw4l2BUdoTI%2BZiikBS%2B9h9OfOtrxL7aJvdiOkQOHDrc2tEs72U%2FHmW846xyGi3DSZ3j9azd1FvUDImwoz%2BE2NIBd1OtGAIdVkjTZUhOTqWTlLbMzaamUcEELnGVzAbVA0BHKleew8ew2Ng534wR8gL3Dxq5ZjO%2FxGuQP7A55A7ubrcHDnUMBdY8RLs0Mg6L5BgnAqphMiBbFWBOzKNxLAnII3zehaKqJofOXXkp5iCsitPAkbol0bqDV8RN4ijmIm4tl7zK2BLqkUsalGqFvNN1AqVkBQDQJoSl5QlZS0MVSLhaCX7P9dHD8OHKMEwKWxLu8KBdxL6ZDTbQo3e8nNquVEFemy2DIsGlmjQdbOr9BNkt%2Br%2BzlsmTu1FB3wd0z5VlnstgW8BBwKLpv9YJL5RlPdMKNOALkU1L14E93sr%2ByVfg43vTxgZtW%2FGXnd1vevKGVHafhuOnyAlyMU3AcPjDybB377rOT591Y2mUHeYJu%2FUg004jIzW%2BQJFm2GGhNrMaABoNsUijK3QmbMnfKFN2XPIHtjr%2FNdmE5uRrDZG78Xj5t2EIGAOCFiawBT%2BozgRw%2BbSAGXiPLwM0MRsr79e4NCw4Rxa5IJL6kRnJurq0bOKEZy79hDV4k7gVL5JHn1l4AdgYS%2BtfxVS0wMJpjIcRkNiOAzUBl2cq%2FUrNZoXwP3VtwpgBXF1eWAOXEQAdVfSMRDKBcx1awhYvEZm7FB7CZETKxJf4D39CN6%2FHf8XkJ6VIlly6LPUkqBVCQArccJKJUl6GXoPq6r3PD1MsbzldfSPxvRcyR3dAvmukGo9nI1bbxUPHKisdJjEQxq9QGilBcN36X0mUp6hA6Y9DpEYujXuXykscVRBpkK4wudhzbcaSC07GdfUgtRrZEms9Wzok3cw1WSi3nqklH6R3oPr8kYcedOm6WR9NMYETFagVwUFlRVM1MVW5RVLtHv11adI%2FEnAKwL1KEcM%2FJO9nv43fpSiwh81U7%2BqQGdrQtXseFv4FZvycdQPQ8%2BVKfDHgE0jgAfBZF8RpdNTGjRO01Mer6daQROSBexQQy16Hxpkj%2Bkj3BXubXE3gz1vNr%2FPlDb76Bs9nSNzaSY%2BxxdivejVP5tZCj0mP%2FOYvf4smfoAvtpHU62rkEFkhGowdsNrvdbQXBV3ZNM9TENGr%2FTSzoRn%2FZLXHoEyAo4ckJSx%2Bau%2BBBspEdYacX8yA6iCb0UGXmlKkTd504Fz8rb%2FgchAXYat0CdkjjEZynUFmSCDVIJg9AhmYypVOVEwBXRFK5UWSV22N7Ev4uHU92T9OQe%2BLX7PPaKziWzWZnfL9pJMZW1bO5OPS3LSUP1S3lg9poocvnk0ySppm8njQw8cTzu4wWMA6PAZgtFm40C%2FWaRcikzJbSWfPzuXKqQ0sxKLdfgl3BF0A82brsgaXLW7gB12EPzH7oTqxuZWvZKtp73M0Tm%2BPz4vvlDUeOLdxZwVwPk1KRVS2cQX0ce4s4n%2BRlpKcHICC7LeCGy4rdAbAELNlGX3ZNzCdRYyq%2BuhvwVHHWrRpn%2BIvGGoVFl%2FMhDadWMcJP9LZen9cr%2Bdin7JuOx%2FZeN2FqnzFL7767DtWvZu2f2TrnyermlsJrn977BC7f%2Flkz5g4srx3e8%2Borqypveeqmzf8qL%2F13n8KGgcUDKqrHbRP6FwNIYiqrimdLCgBFNBhVKlHOuxSdv3y2lARgcoLtYrOlOn53IGEMEF7k%2BdXC13JCQdThQHSbDQaX08hRhsdSYuuXVBAOtyLx4BHI6%2B6CYLnlEXbyLfYFex%2FD9zz7BAf0ztqVZ%2B7EwHn6YufCPz33%2FDraBqjXfyHBI2K%2BRonRKAOiVZYkC3BDJ%2Bq9VNpUJOaj%2BsXtVx6h57CC2dmLTMMKdPlKFXO0a4DY%2BdTwvZeN%2FqJLhrqRy8gSsx%2BT0e52yQh%2Bv2ynlszMrKwci9mcnemSzdRvt6NJiOSi%2BEtCbgo1UyM3WkiKOMKJUtMlGvCIi78nPihD2fPbzWFJ6WPdxqngfix9q9Sr9HQdwoJDth5mUy%2Fnm1hKoRixV%2FmpUJxwVT85trLi1EAa6twb%2BaS%2B9uuhNBsStmnSbVMVzTXLnPpUo6oYTYpJ0C2VLGYDkWXJqFCUkhDL9evG%2BooUZ3VpjZj8Izex59h6fnXg56wfNmF%2FDGMtC5Pi%2BGHyHdka%2F47Y4j27dJCYyF2B7wZVlZEQEERvNFFF4QqiSgVDdslOjEH5Z65AarLLowIDZAGWchEZbA%2FLwDo6mozsXBTfQUqoXleVJiZ0RugfzTJISFUVEExmlYuSRP1I0IAGUcZdOgxNpl1qFqqPbALSzPPvkbfjTVJ6vIrs30m%2FRXi%2F0ykkLWUbyWw9T7KjVgXRIIFRJlTBfN2EuvH0BNZX4iUpmc0y8bOPPmIblXMHz60Xa1gA6MDkVFt%2FZIKYnGpfnBa6sUmAHY9%2FmJhqI4S4fJ%2BQL55xoKIY%2BVYNoOZTiaaCvQtCfCFHMMy1CH34IX7GMmfKjQd%2FUoR8AzFIA%2BR3QIHeUTdBWVYkSTznFd6SVJko0DW%2BxLKLeyTRZYcwiGjADQ%2FjqVO8uP6KGOiGzmqyKN4maq1OtpHWXhja9SRIRonoRhEaJZ5K0NrOFyl%2F%2FvMAAGKNdIQ%2BqATAwK1gBjVKRVTIdwCUpB%2FrioP0XWLww7EvHPD6PGRL5ZkqbKpcLx3ptW2gZ%2Fz7GYIdmjju9pfm6E8Zq6OFTovBQvLy%2FP78LIMhaEkbFrNYZLfbPjjm5jWdnDM4JnvBk0Az%2Fy%2BZVYSeXlcUJWdMvMcN9%2B1u8h0omny9N6YT%2BhuGr1r0xzd%2BOr%2F5xbv%2FOn7T8Y9PswO%2FX3znY5MWPHHDsNfXvfono1K6rn7f%2BK3vx32E27h55MJbxwOBFVznDsUNTsjh7BvIojRg1Mw2n89szrWA2WPUFFDSh8QUL7iGxEC7mCz83SHi7H5mUeZ0aISzRVANCgTlw1AfH9d2D8WobftHX%2B7YNsMT%2BhpLLZbJM2ZOJJNvaZk%2BQ5rNdrPv2XH2t6XzFTdbPuiJ9jP3rwh0PPOXNWvWAMLoCyfoMWk2eDi6esRYymclxCubh8RkDexcM%2B%2BlZZJuOTk32SdwmnJoYkjgUBQyIf4DZqJx81Mjh9525cmTzcuHVf%2FBTQZgFvauOZFVwBH49ZIydr4kH4iQK81M2CcaDRi9Gi%2BobTZhqFy7xwIOIyi6fTTdPt5ft4%2BoT4Q%2BecShOXlPGioU%2FBLkji3iOnVPiAnZ9vHnOw9ON%2Fmw7Jv%2B1omT5kyVp7dNmDnLjWVoRx7zq9vG4YSfTjyy5vt7ViWNk9BynD61y%2BDMEKROSUpzOLKcJlOm3%2BOkzuoYFVUUVMesmuoZHFNTel5aloiry3bI3RbgrbNeR4XKwOMJ6AVAxMMtOP2GaQZcT2aVs%2B%2FY3zDt7LdoiJfID985vmNc3Qb61PyZM%2Bd3NmAPdGAahth3Jx%2B789Eel5%2B4rCjB7nSOkgMeuCKa7SZElSn1%2BqwAPhndyHVz283akJgZqJ4bgp8v7QVDiRwWFgxH9KfOeieocBWpiZ1l%2B9eu3bj%2Fufm1o2uv6ocGOq9zCZ23rKHh3ZdLPsoafsVgoKAwtzSV26sYyiEKd0SrzFlZAwZIfRwOUqzmSkGUpIHpPXr4fJFg8Kp0K1jRqlj7qv2GxYy5Eke5wr7FpDpWXFxYWDksVqi5e1fH3BkXz%2Bn4pxIOWz79gRHv0LneqJs2FQ76ewKfPao%2BpSsqEvmsj%2BykQFfCF6ZeRcGFyUQK8v26El%2F4WGzqS33OfxjpXbL2ndc3sTfYvm9%2BvP3WksHVg5tvOnmsZKGTFc2buvrNabOfa5w5%2Fdrrmura10otT%2FceNqZjJ5Xzew187smt%2F1i1bPw9We5Roeh1xYVrZ732vkM6L1UOHVlb2WcEHT5q0qRRuwBhBYC0lmeDB8LRdATw2Y0Wg8Fo9Nolp1MaEnNqJkCjR6D%2FJfU5336yUOPaKqJJEuCQeFQirWX7O%2B6YxfZjqapqE%2F61bQ958LsXt8S%2F40CwpeDekav%2Fvh0ILAPAD7lsA1jEZFcyGsFksprtJg9Rr4kR6DJ%2FZWoO7uobKtNnnyJUlrW3X3ttO14phMgLHn98yIjzPqkFgFxoY259XSt4oSTqd%2FL0JgaDT%2FNcE9PAaBctOk%2FsjOTEKYEwCRGJxwB6tajQpMDBcxoHXzN8CJbum6GLZe60066mRmnd%2BeJXN6mThXRIWPMH%2FUn%2BNdGgxLmTUKrIsmYzWa0Gg8lkN4P41WCzUcXkofbu2oTf3cjSZdpuokXRuGOyi1dx22KswGZWhYd5AffOIrF9jYxdh40sI74Et93MVivueDXr0gYPcG0ouF4DRIkAevQioLvExgPivyvuhO7qQJ5BQRgeLXS7XPrsKDMzI6PAajSaTPkuq9WRKzu46XwOzWzPRJNH7%2BG7krl7%2BOC8ePqbjJDCRIiEfKFykdziVfBd8q%2Bke9n%2B%2BuvnTGL7vy529F437Xwso%2FdL097ZwvbVXz9jOnlw3rz12%2BLfSS1Lh1%2B%2FurZpy%2BF4kfhtxYuQjGCut1tMFxHAq6vrscoOoatQFU0Xx29SyV%2FXLRG8TS0ierkyof%2BZtWWXEPbn7boC9dce3JHE5yf0pzhpostXLJYMcLnSvcYhMa9mp0Nidu8vu%2FxUrvPeVQMOCCQs6MzrxGVT5986ecr8W6dQmX3ELvzxh7swGyl%2FI6Xt6%2F70Qnv7mhfYKbbnQTS8jE7s8wA7B4LrOep1cC1ckMMn1Hl%2BRVFNlKpZmqrlcuQEq9U9hBOEwa5mQEaKzBKmSBWoSQVlTvPepDFCnPndRKFJtuemosq2GZrG9p%2FtaZv8wfaPbt58TGf7vePdSx%2Fwsv5K9SPtbB87%2FT%2Fs7H10mU722JDgM67pTN1euaIq8dIsyh%2BTpOUZ%2Bfg6PcNnz%2FZanE5V4I0FhsQsv8m6iSfIBUmS5S2dL8HBXl8ook%2BLIkFBaLdMkafPPzxZ2v7R5zsmPXeFIQMJ22e1lq48uri9oOMZ9uLa9lNYiho3Z9%2B6xqU%2FbcBDAybXN3ZFFJ3LddVEh0mcejw5BCxZZVnUS7wGFxqlMrTMRy%2BJIqpdWewrCD%2B6iu3%2Fsre97yvSbCP7xLR8SXyH1LKxZTYkqp%2F1XIZ4dpmjpLktAEU5bnchWNw5lhxTli9rcMynUdPgGPX%2BvJ2%2F2BgiqPTHK2HB5clePsGgXCkPt082oetPnbx1%2FbDrDtW395oycuG8yJd%2F3%2FXu6MZHa5Zcv2zRrf2wZn1HILfzsvKx%2Bb0rCstHz73%2B8VXN%2F8y%2F%2FJriK%2FqHR%2F%2B30LeE6xuRa8AjToRYDHa7y2UyEIfB4fWZnHbn4JjVYrfL3HVyQt3QpktOVnRhgnBcxKOXvoLpIyFPwCO6cjK3bsas9tdeeHRt8xasYDuu%2BTD4aeiNN0jGwgknTn4e%2F%2FyqK4UOT%2FGc4zM%2BcENZ1E8cDrfby3t%2Fj9NoJ7JNtumyPcmJ1sVDgItr7tQYgH%2BgrxdrpR2zt72PpSLjsXRp7XUHt5Mj8dki4Ynt%2FEpI9JkPcrlm6BV1m0GWiYgIK0G0GNEuC5llKWndDU1X%2Fx0SbTfiOtaElf%2FINyryZYexkjVJLfFF86aMXUzaumS4AZRtXEaWOMsoSyaOIVng81ETVTMyMjNzVEXJ9plMVLbbMxQ7yDqidR3RdPz2LIDSIO1WQ8wBsin%2FpGskRZpuUfew19lm7LMwJ1eRcrT7sG6R5NCsqBgvN92NPdk7uARPdt4vtTDH4m9q1lxH%2FPGvvE03jMkcer4XnuKKI5gApOW6bWqi%2BYoMaKSUSAQlGWWzQVWtfIZmMSoUAA1mj4T2S2cBqaROkYZeq3KlhdkClOu%2FmD2BI48cxZHsMWxja46fYO2kPwmyZ7A1fiy%2BDRewhcJLzK17ycs1KTC73ZrXK0koahm%2FJgob%2FpNT8no0p9XJMTHDAFyVskQJkKKvhBlTUzxHyokifvTqgNsSaw9mmBRz7n4cwoqu%2BvcfR9RErqqfl%2Bfkfr2%2FYcZNo8ic866XXnR8Z72xNZI450HXce2MIn%2BoKqkIYDYgmvQhAm8c7YR%2FMwyOoefSIULSSMJGySlCWEwR6LrOB4nC0uhAZiCmDrLp6%2B3xekDI4T38Id7D54ipCHUbcnIcfn%2BuNTMzIFGXy8qjKd9qSbTzYosp2hbbF7bnuBrm%2BREWRw08Coc18VTQ4xFQ6%2BEJhDmL2m6%2Fc%2FOZG4cpn31T3XpmM9quH32qucGAVz7Z9jEdXMUObcyzBF8xskNVg%2BknbU8BIO5gJWSlYgMK7tcIpZJMAaCyhONDYlbqCOKOo0cV29lA1ylOauB7yBN7yOHlOmgGQ75bkoI52TabW3Z7qCzl%2F3%2F2IIuHzuFynuSi2BZnlftyiBSnzxyCyzwcrImh4e0Xbhz2%2B9mfKtWtL7xTP39x26LeM2aFPyFVQ7CnuWmyw5K3EXsOrqIfh2dPY5tNjY2nGm7QTxGQIqmCtoEHIlG%2FAg4zmKnd7qNeu82mSJSaHQ5QoCRU1lYi9ElBdqqp5pwa1sv%2FRAMmELwQB0baym968pqFwxaOC99ePv7pgf89chFZcXX5l1NzcyPRii%2Bnphf8lzhBwpbiQanl0rP6Dg26zurbad4v56mukCugE0Wi7Vh7JsTasSV5lIO0dJbKBcljHAhLOdJqfN6cwad7QYchPV3OyCA%2Bn4mYMrPSXCNiBtuIGMiGNH4pGWmKygXqpwH4S8%2BePzvOII575nOCTh4R15lS69q26gmSEBt94OCr7YtF6z7vlm8b7mpdcN%2BrL%2FfHcyhjZk77c8arjmflv%2FBn9kZObzbAuFFEB4A0ST%2Bd2BztZXeaidFqTfd6iV%2FzO51ado7Fn%2BavjxnT0sDFqcleG3P6QR7xs%2BNNXUfUIJTSVqjbjT%2BpBpRfbpXXFSKawsFwiBuQbNyyZcyzs2sbcS679w9k3%2Fmvbhr%2B6qufy7sbvojGrt10dOm6WtZ5ttes1keObtl5BAjMBCYFpHXcnkW8R87TLC6j7EsnBrDZ8jIhM%2FOyYp9LSycWo2xQPZ4ctYBHz%2FYyHc11H2qb9S%2BiA4oURXyC3SM%2B0WGqPrVIoJJaFCmMXFRdbixfuGzBqEk3j1qwfGE43Pbogt%2BNn93Y9siC8v1T6%2BqnzxxRO50cnPC7BcsWhCMLly6MTZs8uu2RtlBo%2FiNtYyYOnz6ttm7aDBHpCoDEp%2BPghZnR%2F7I53U6Plce2UaYyMYkJqxeRED%2FHBp%2FidDkbYkCRuuwmm93WEFPtdgt6FMsl5xX9mtiW3kNfypcpEhAfkgPKkCfoEXdAGF7cGCBD0YAVbOGWH374gX38448%2FvsOW4BViZBv3vHrfq8eO8RdyHMhFiKNCMGoniiKGmUaJSlTVsUcEbCpFdAhyJGBIAFHnAbag8wAAgUm89lnw%2F0o5D7g2jvTvPzOzu9KCJNSFaAKEBMYHAokSuQpiY04OODjYsWxCcjbkNaluuPdyiXuaS0jHpPfeE0N68fVO%2FObSe%2B8uy39mVlqEzr76oeyi%2BbG7U3bK83yfkUZBGZwCMyKlaRaXRRTLC6E4JyfkAld4DKmpsbkrK0ttpSafxzc15nHqTVNjepQycUvmivi5NiuyMYtA0qyNo3NOVr9OFfZJmt75WUW7VMhOWtE4fsubj9zRP33SzuaW6LxFB3rWTJj4xSuvXdHyYsOAb%2Fbpj257c%2BOS5s4tvmrim7appHXPputbn8kPlVdURssit194%2FxklXdGr7p3261Hh7uKKUGH0uu2nzi8Pxya1V5qmAUYu4UfygiRwVi0%2FYrQaWIvIdGcQ4pBB7dzU9snCdpLZJF%2FSOXJNjdRPPa0uMhVd2TKurqk5Mq5FXFPXEB0%2F7ucNExvqGieOb6wDIIw7lSbR99oBPqhmvm9ikm0mm7%2Fc7yzPc%2BbV1IrpYEmnX1mlhbZglpActKMVbEo36zBrHWyifBGnSASrw44ZvIhr6bwgFCxiuH4R45HIul%2Bc91p4c3j55tf%2FfvilPddGFx5b8zJqf5X9DCi9v%2Fm10vvcrj6U09uHsg%2F0Ke%2F29invHSBfX7VJ%2BTAv99nwkcNvfNd82xjlI%2F4%2FSu%2BrLyi3%2FObXaPaLTJb0b6xlBfCX%2BDHKMLqgAOoieZk65HLlmXXU56PLK%2FRmGI2e9HQbys4GEGweShSEA0F1mAtak3BQbR1SPGxVVo3K6irbp3YM1ToJV3pGr452r7n58XnrWi6tr79h3tY9yqTy%2FKbYvMvxsYvGRLrPu%2FBCWegef0l%2BcNcmpeGP%2FqIz6oqkNPas06Fd6BEEkMAIbZHRaUaDTKd2RMKCgERqGDdkGNkrBpBGCE4XBIMoIpOMsR4lWko4kLBqJI%2BK5j8Faab66Q897w8yR4ALIR3yqYfpaPGg8hFyDSo70RG06A12%2FoayC49HL1E%2Fs9K3DL2QNXzKGb8fhTCZCCJkRZgzSkcQkogAAdYJoQTf6LXQWZQQHjx2hLz1I7pgEIaGErEHWAIzAAhaezTEW%2BS5kUqBYFHUgcViJEbamxB9uT%2FROLFE8QLBIegdsp5%2BnaSN8spKbara53ErgY4FlFnoIwadmhP5X7VaYcvuz5QHAu8h%2FcO3K%2Bs89eFTJuceP%2Bdft9utd0xUFqDpyj3kqh3K1%2BH6uhrlzX%2FZctHQEckuSNLhJG8MjPTGCNLRbwWDZH%2BFr%2F6Jm7D5hAmyIDMiQ0ZGTrbVkMkqRQ3FUq17vL06HSowmDyctbXd2N5201ln3XjW5a88G6uvnz2nLjJHWMg%2B7W0766bZL10emd02YWJ7G%2BNFAYSwiCGdcx%2BZGTqdRB35BoSomd9sMRrSZYQkAYOKeoYC8S5MM5WnxriwyfZwnAs9I2%2Fh3kG0RVlFY12UNylYiiCAo%2FgZTriVRKwOA5LAgiyuTNnkwQ4Hyucer4lJXb96j39EPHUF%2BJnjK%2F5%2BbriipGXeqiuf3np9%2B4YudA6O3jbYEQv6S2bt37Cle8be7rMBwVgcxo%2BIr4APJkRy7enY7QbIl%2FLTzVK65C8mdrvDIed4PSa5IIE5pbQ8dlABTRX6S6xu1DgHrezj3QjuuaN9%2Fn1P7N541ards5oXtJ3REgwFWsOdE%2Fb9v3W9wlu7a432i6at2N7wzOzzq6tvrAr76ePuDExYn%2BqLI0JEDyCnCdwXdyjui3uFjR%2FVNMjMIUk6ao6YiGZWHZ0i%2FDX75U5H1aEgAOK2LmrkhkxmMUmXJFnOsjrBQR%2FdrXNlOGl7yiCq4Y2Z%2BzTTkbYwT8qwtv73xo0CxS6XhZtDZ7WvpVaAD0ZnlC6fNWF%2Bvigy%2Byj67YoVdz%2FPrAF7Z8wo%2F9mM65SDUhQQLFSOCbslO2RAIOJINwsiAoTMFr0emUykKWYSWc8XiHtk4gMlbe5qgAb7UsMIa0IFwu6bbumd0PqX1%2F72IW5Tjkmn%2F3QfCVmPHEWCwiKd8Cj0e7KGEUURmUU6Ebk1RiCQCHSypSLhfEr%2F%2B2Eqe2hQsaNeALBCVcRlNjI7Fh1Y7Gaz0W60ySYW9pXNXt9QQI0EXB1%2F3PjAIiZPQYprQ3RWgnr3Xd88KXuOu%2FGW5v7s6Kwj6xc5btOZJpzh7hmf2cktXDiKGxPRSYI8MjopD%2BWfMDoJeePRSb4QbvyciNkVzReismdxFD2z4Oyi0vHr6MwOwnTUfEt8ic9KPBFjIvYqgzhkDw%2FxTGK3kxc9YlKPgt969IarH3%2FwwP4nFG9dY%2BPEiY2NdULbnf0v3Hr7wAu3dHR2dnTMm5cy6s2OlKZTy49OL2AW1Ib01FNiGh70BD7YIdHEB79%2FOej1B9UBL%2B6NL0aoFonqQehRdg4ip%2FLxIFqsSMPn2KuMXYbaUNsyJZw1fMrGrnIA6Qpa2n5Y%2BTuAYvg1fgUA6eAP5Nrjj4L8IMFW%2BuJUVye0D51Au5h8T7W6B7CZSZlyNlXeJ75ClUs8XEnM8as%2BEb9qmXpVwDBeWUH%2BLLTzNU5DpKiQug4YJk0jh0pMoyDbnI1lQp0JPk9rzJdhoRy8xZvKwaN4g9Cm5HHsnddbrUub3bCVWHLF4ldiF1wYPjM27aFzzp37w3lvHP3F7rOrUcnw6jY6d1dT86yJ4eiY0sOnTO6%2F%2FYLru%2Bj0cyyamXhHhoZU2lu3GPuhiOexHiQ0HfQPYqfoh9HVJ1B0w2%2F%2FheIgzFQV2SMV52iKgYTCOlIxU1N0cUXaQwR7uWRYkxbXSNDfPYvXhpfEa4MpdD7OPtrg4sg4yUbMNmIRLCjNZEJsvgbgEETRbiYUvqb4syENGQkj%2FJFkkzkxTAQrMmlscsKiQLvUAAeUNb8G7yQ062PCs0QKkEYsI9rR6nzH9imOvcoLeLew9%2FghbKIUT%2BhoLlq5jiPvcYqZDnXNrC6WKXZGjNP8%2BVlGYAXOBfY556p5%2BZaodTT0KC89ZE%2BUXqqiG9pSFPdShT1JcXDoO1XhHnmNmZqia%2BgnXgMYFag1wGbucZ7cAJnQGCmivUCW3ep0GlBamtthAIqVWwGovcRJi9eKLYy8TgmP0%2BBgddahWmkscQqUlpiPo4MhBwPPA1tV5FzFz7cKwm9%2Bd%2BCzzzahATIdd1Du%2FG5GoOPWnR9%2BofQoyl1qHsRXeDuriLez36eUA%2BdUeTlUxtt7N1fgvJMpulHDv1AchOdUhXek4hxNMZBQZI1UzNQUXVzB2vvoeGkj2IAMglnogXTIjaRLBGTZYORGZXcgqMUn8260FqnLBlSM7lL%2BuB%2BVocqr6Rhetkf5tfL7vfj3qKxH%2BSMavZf%2B%2BVuaSiUAhD7DLeIHkgA2yIZCCEdyXJ4cuz0tB9LAW%2BTMK3Ab3QxXJQWpdOWImbyK8arGGFaJqpEG2V2IO%2FyqihEFV1Wm94Xts3tnv8iA1RevaL1x1sDRP56CjrR2UWL1%2FZBiOG0%2BWqzyvXWXXHDpANrEwNWGNfM3DSi%2FfHYJ%2Frbsp%2B8e6j5uKR4aUmlIXgO18Vocrdaz1uOkKrqR6V8oDkKPqsgfqZipKbq4gr0RJcl9kqDwq4yNv3kb1KtYuCSJSmbrqZpIDiOjjbIoSpJTMDbFZEdTTJAFWdIRyZowKGrdjOZBjePIDroW0tZGwh2UUz1yNcPaH1CQ4fikjst3rbt0NcHv%2FagMUij5c2Vc18rz5%2FNZJM3JfMkD1dAaGU3tegXFxQDlWSZTbXkgUGPKKtBBcbEui2SWhkqnxEIQcFgyozFLwnGq7ZUx0g03TH%2FaTYLqcnOkuuX8iaFL8zhXsVAn4a3SSDRSWl1%2FRVfoo3fmXTau%2BubIbfnTo2vnNjQ0TVjXsWQjbb4%2BhL9FfuGvkV%2BcNqai1JldVTJn7srmu%2B7JLfy6KLhqVGhcaeOylsh5lbWnl49r6TrnKPVMv%2FLO%2FazH5ASbVEBr5VQ%2BUtQfAPb2jbbEazY1vfvCE6Xna%2BkHfxhi6RUj001a%2BkAasPTikemClt4lAX%2B3T%2BGCYcUDmqJ%2FlKrwqwogTCEpQjeUQBBOgS2RydU1JDM%2FP2g3GoNBuabG7%2FGMKZPlsC%2FfW50fjVVXsyDp7OxQNJZtNo6aSoF3p%2BS0NFDHPHgbYiBJgQZGv%2FERLZmZ0t5q6wkJKnqMhzBz8MufZG0ZXsZRzHYYrWJk1TDShwoZfiVWbn2rce4L19%2F03NdfPRtr2nHzvKc%2Femdx%2Fd3LDyM4XkaJq%2Bcfm%2FbY8bqFq1fv6FyOvX%2B1oHvwefbOru7Y0zcz5q91cn3Tq52bInXKZx9RCGvWp8UlOEsQzpxD6T%2F05acLVrNap952xtZhP0xWx0%2B0iY%2BfnCrjtT1FbQ2389oqStRWanr34n%2BeflDP00eNTBe09C6rWpeVidoeugYAvcGv8LTaXynTgF0DGRLXuBwA%2Fy5J0T00eaRi6JdU8UmS4qDyuqqwJBTvUMXlkqApuriC9Vdu9UkSBIfk5fPVpZGx4MYuV46oJ%2BkEY0tOTnr6qEKLpcQNmZh%2BSJ2ImdjppB56CnnSKS02%2BRpiJifBU2MEnYC8izsQ2clwI9I%2B1YYLf3Gtkw8SVgdtm4XAwyNdtX46hDAvXCL2GCmnN3ZetuitjjuuvUr5%2F0PfKX9DwuFDDfpT17zfga0rz19x8fIFq84TXdXF99Wdtr1n%2Fm5lz4fKh8pLyPrJR8gyV%2Bhdtuva4%2FMv2Lj1ih27%2Blg74MwMf2tPV9%2FaEPAZUHI97ucl3KK2k5t4PReeOJ319ZfAyRW8pRiS%2BgUt3aSlD6jpeSPTBS29y6C2pIDWK8yCw0JYeIl7wbKhNGJ1pqWZBQEIyYUcNwVKAXHz0vPBYdBQiw8WTxJRTWOGj2%2BK1tf%2FPFpXNzVaf2ojO%2BKOwcEvTpva%2FPOG6c1EmNrUMqWhpRkIfcaHKAN0OZ81eEfOGnzxWQOjb0jBFAZx%2FC%2BzhmCNsJ9hQWsvOLVn0n5GBm1eUrt%2FzK5jR21o%2FOiJKy9AhwzKa%2F6alefjSoYJlXV2dVyL7IwUqpp%2BQes1ytH2RjTouvnWlnFKMOP2oSGVpeD1c2ZST4ByefGmpvMavgVOruA1XMnTC0emC1p6V0B9A0u1np977PkV5qi9zXh%2BBQ8XJOgmziYWsLhqD%2B1vHQZzli2Dxi8VWsCcbXDIRM6dEpOdxEnL%2BCQocxLLTDtnDWdWTT4Wyh0nAU7ot8Herhf%2F%2FuZLf5xv0ulUfvGjOONEDrXMYEgzK%2BCtE9qVsXpQVixvbB7mnLQ8CVqeut5Qc%2F0zNdcJKk9oH6byMk5M5VGJGk2mO108BE7wQmekxuJwGFF%2Bvs6WAeDL0umKLHa6drMgI7HQX0YznaWSNBddcwhCLotpRQ5tBcd%2BThplmiAy%2BBMMx2M6XcOLuERnVGvx%2B3WnH9vn31Wm9Cv3oTPQhPGbvaRDW9Q9dstdd%2FXVrfR7t8jpaBvqQuejTSZZXeCR145%2B8%2B1PDivZbnPyN%2BhT3SphMXhgNARhQWRMoMKEHQ6%2FX19RkWu3V%2BXr9aEchzvgiMYCATCbfxaNmc3YJNDOmfLEZnDT4VwQvFNiQupwHj45Cp00iOdT56kG4bniI7dDo6KTeT2fSk%2BLtyhf7dl5pPfHLSgb4QUvT7nsi2%2BR%2BbhTt2fL%2BU90tDx99FwN5Pu4fbWMBnC3%2FZprdiD9%2FciByqY1XcvYaf26naXlbOCeHGf7BhavuJhFHD0h%2FFXwSAVgZP0Zi5ozAMh6jE0ZWF4vsh39sg5pyx2NKqQzEZ2XGU%2BdFNAgrdc1Ne977elTUafn6kbhr2ed0XJ29tMLqh5sYBENqFX4M4lKD8Q9ehmS1eqmkUWyR8ay7CDxvRTYHVKNZ7qk8YhEdy1YcOklCy%2B67Pqa0tKaiorSGvGlCzavv%2BiCDZu7ykKhsrKqKkDwa%2BHPgkEygQuqIm4KNEUEQjLdBhvobPTrYvM6MzavFyCQ9fpZmoNENQebXw6qkISXvbF5mNVHiE23yjF6xRM27knfvXTUtKZoET%2B%2FfAk7F%2Buray7vKyjOr%2BKHAr4bGHqI3IN7%2BG5S%2BAS7SU0nbeih999Xlbp%2FqtQllG7Sj%2Fp4jIw7kiaIOqTTySBou5KZB5gLq7jGWhvCumKTs7N6sN5L%2Bp1zkG2h8t3HkHQFCVwRmQhIknSCRC8wvD8WUrffQHtNwbWDkz3iI84XlPdRySFI3luLeVIwEfnuWhIEtNuffHstwOzeZBl%2F%2BgzwRczUIGsiggSSZNFlkHRtI0Z%2BoT8E%2BbOoWSnwxY%2FoUzVPdILhSZyRP8ezp2Vz%2BE4SGJn%2FndpNDXwrMFMaMYjsRi%2BqN9Luoz60qB5QH885cqO31JNM8Ua1DBJFgVlJkOt5SRihMGIaeQcIpN7Ap91gROGgt0eWkkvbi2wunXrfKIyCdLA9wszuRplAgHssUq3uc6%2FavnXvvku37cGf9hzou3r%2FLbcAELbTizQXhfm75mXsYF6m6kEvys4gbKuXAofMQuS5LUhtbJnmP9AJy8gdX3yp56m7v%2BAps89kZzPacGPqPmctKUf%2BVkA7vpHbtCsijrgDV9RLQAg9pa0JI9VZmsxW0W%2FVN5vqlE12xKZeO24nRzp2bfoHPRPEf7z2SBs4vvHEBm8ApCxj83oe25YVSSeAEcaCFtqW8B8j5EX48mN%2F%2FIKMjge2AeK7BW0S%2B6EYdkQaJaL3%2BXI8RW5ntmywWIrSafaLika5cnP12dklBpdLzpRy83Knx0heRt66PJxOMvMy82yFPiiEabFCndlkMzXHbNp2YiNNoxZenyxzKUghO%2FCtQOhvro%2FH5DgKdA420DrVfS4oWELdb%2F7qWvq7BuL7XXhXXu9CVyrtGKN5yj0hZNq9ecn93ynPj9q6VMBLtvjQpG%2Be6ps7ebnwys5f3ucNFDzwTXgIxqK0Tx5wFVff9zVyT%2F%2FQ4%2BXsWgfzjp%2B0n6MTYDbdHRriMbs%2FSh7wQyNfQ04lboD45x8nfd7MPgcMBhzF34tPQRpYGbthFXUmWnBEBixim90k62TJikTRaiW6PJLPDTwBLSYu4RpNwn%2B8DhpfWI1CfA%2BzWrZnHP5%2BzefKBrTh0zXKHkmuzliH39q3rwfXHT%2FUN3Nu1gWuZ9Wn05u0pyuGRuJWn14KAMTT4QTpzcPp0q6k3PF0dS8BvtMDAcsjIIiIQGKXQLYPAt8FgTU2uvZ8EQDruB3sL%2FEV7krVDmZIWNNupYoPkxTdQ3NGKoYYgS4mKQ4q76sKS0JxHADfqZupKbq4gq9wuaT6%2FwCVeR0IAAAAAQAAAAEZmiehT9dfDzz1AAkIAAAAAADJQhegAAAAAMnoSqH7DP2oCo0IjQABAAkAAgAAAAAAAHgBY2BkYODo%2FbuCgYGr9zfPv0quXqAIKrgJAJZXBsIAeAFtkQOsGEEQhv%2Fbnd272rZtG0Ft27ZtW1G9dYMiamrbZlgrqN17M89K8uVfTna%2FoRs4AwCUGVBCU0zQl7DAlEIZWoPOfhXUs0BbVQAL1CG0ZepQd9STPdUW9dQ61FGN%2BU5LpOW1pswUpmU0hZj%2BTGOmWnQ2lPNyV2rEoO%2FA%2BmUw0CwATG8cNjkwyXzEYZrG9Of5NUyy%2BXBY7Q4Hm9a8tgCH%2FWU4bOcwPfmsjc7GvDcYPWk7StjU2G8qAf5xwHQE6D%2BzHRXUbqzi96bmrEQNEeim4V965jWnB%2Bho0sNRHnTn7E5H0V3nQAlaAGsawqkxWKfGhDPoO2Ts%2FGdwsk5fIecd011vh9O%2FOaegHO9toBWAfYLM5JBSxvoNquliyEeDvUucbeXvMd55vIqRtTGMJTnzAkP5bdnsXvTX6VGOPkbfYe%2ByRgh%2F6xHoLms6QDmmlvyFPThTB2PEtbczfMbr3XUu1JD7fmqUjaYre68jzpPD3wJIH6QH0RyQ5L6Ui%2FGeGFqDOZLiPj7iXnpkDsKJ5%2BTwO3LmEe8JYecb2fcazoXMC%2FEd4z0J7EFS3MdH3EuPJJX07gom%2Bff4%2FDMcpS1ee85bBLQNGO84cgiqPerpVcghUBEeK%2FS1jzBBfUZbwUv5X%2F7bkOlslqCEwJ5TBw4lBFsBJdRuHA4vYk%2Fown8RLYvLrQAAeAEc0jWMJFcQxvFnto%2F5LjEvHrdbmh2Kji9aPL4839TcKPNAa6mlZUyOmZk6lzbPJ3bo56%2F%2FCz%2BVaqqrat5rY8x7xnzxl3nvo%2B27jFnz8c%2FmI9Nmh2XBdMsilrBitsnD9rI8aiN5DI%2FjSftC9mIf9pMfIB4kHiI%2BhWfQY5aPAYYYYYwpcyfpMMX0aZzBWZzDeVygchGXcBlX8ApexWt4HW%2FgLbzNbnfwLt7DJ%2Fp0TX4%2BUucji1hCnY%2FU%2BcijVB7D46jzkb3Yh%2F3kB4gHiYeIT%2BEZ9JjlY4AhRhhjytxJOkwxfRpncBbncB4XqFzEJVzGFbyCV%2FEaXscbeAtvs9sdvIv3cjmftWavuWs2mg6byt3ooIsFOyx77Kos2kiWsIK%2FUVPDOjawiQmO4CgdxnAcJzClz2PVbNKsy2ZzvoncjQ66qE2kNpHaRJawgr9RU8M6NrCJCY6gNpFjOI4TmNIn36TNfGSH5RrssKtyN%2B59b410iF0sUFO0l2UJtY%2F8jU9rWMcGNjHBEUypf0z8mm7vZLvZaC%2FLzdhmV2XBvpBF25IlLJOvEFfRI%2BNjgCFGGGNK5Rs6Z7Ij%2F45yNzro4m9Ywzo2sIkJjuBj2ZnvLDdjGxntLLWzLGGZfIW4ih4ZHwMMMcIYUyq1s8xkl97bH0y3JkZyM36j%2F%2B58rvTQxwBDjDDGNzyVyX35Ccjd6KCLv2EN69jAJiY4go%2Flfr05F%2BUa7CCzGx10sYA9tiWLxCWs2BfyN%2BIa1rGBTUxwBEfpMIbjOIEpfdjHvGaTd9LJb0duRp2S1O1I3Y4sYZl8hbiKHhkfAwwxwhhTKt%2FQOZPfmY3%2F%2FSs3Y5tNpTpL9ZQeGR8DDDHCGN%2FwbCbdfHO5GbW51OZSm8sSlslXiKvokfExwBAjjDGlUpvLTBY0K5KbiDcT672SbXZY6k7lbnTQxQI1h%2B1FeZTKY3gcT2KvTWUf9pMZIB4kHiI%2BxcQzxGfpfA7P4wW8yG4eT%2FkYYIgRxvgb9TWsYwObmOAITlI%2Fxf7TOIOzOIfzuEDlIi7hMq7gFbyK1%2FA63sBbeJtvdwfv4j28zyaP8QmVL%2FimL%2FENJ5PJHt3RqtyMbbYlPfQxwBAjjPEN9ZksqkMqN6PuV7bZy7LDtuRudNDFwzx1FI%2FhcTzJp73Yh%2F3kB4gHiYeIT%2BEZ9JjlY4AhRhjjb1TWsI4NbGKCIzjJlCmcxhmcxTmcxwVcxCVcxhW8glfxGl7HG3gLbzPxDt7Fe%2FgY%2F%2Begvq0YCAEoCNa1n%2BKVyTUl3Q0uIhoe%2B3DnRfV7nXGOc5zjHOc4xznOcY5znOMc5zjHOc5xjnOc4xznOMc5znGOc5zjHOc4xznOcY5znOMc5zjHOc5xjnOc4xznOMc5znGOc5zjHOc4xznOcY5znOM8XZouTZemS1OAKcAUYAowBZgCTAHm3x31O7p3vNf5c1iXeBkEAQDFcbsJX0IqFBwK7tyEgkPC3R0K7hrXzsIhePPK%2F7c77jPM1yxSPua0WmuDzNcuNmuLtmq7sbyfsUu7De%2Fxu9fvvvDNfN3ioN9j5pq0ximd1hmd1TmlX7iky7qiq7qmG3pgXYd6pMd6oqd6pud6oZd6pdd6p%2Ff6oI%2F6pC%2FKSxvf9F0%2F1LFl1naRcwwzrAu7AHNarbW6oEu6rCu6qmu6ob9Y7xu%2BkbfHH1ZopCk25RVrhXKn4LCO6KiOGfvpd%2BR3is15xXmVWKGRptgaysQKpUwc1hEdVcpEysTI7xTbKHMcKzTSFDtCmVihkab4z0FdI0QQBAEUbRz6XLh3Lc7VcI%2FWN54IuxXFS97oH58%2BMBoclE1usbHHW77wlW985wcHHHLEMSecsUuPXMNRqfzib3pcllj5xd%2B0lSVW5nNIL3nF6389h%2BY5NG3Thja0oQ1taEMb2tCGNrQn%2BQwjrcwxM93gJre4Y89mvsdb3vGeD3zkE5%2F5wle%2B8Z0fHHDIEceccMaOX67wNz3747gObCQAQhCKdjlRzBVD5be7rwAmfOMQsUvPLj279OzSYBks49Ibl97In%2FHCuNDGO%2BNOW6qlWqqlWqqlWqqlWqqYUkwpphTzifnEfII92IM92IM92IM92IM92IM92I%2FD4%2FA4PA6Pw%2BPwODwOj8M%2Ff7kaaDXQyt7K3mqglcCVwNVAq4FWA60GWglZCVkJWQlZCVkJWQlZDbQyqhpoNdAPh3NAwCAAwwDM%2B7b2sg8kCjIO4zAO4zAO4zAO4zAO4zAO4zAO4zAO4zAO4zAO4zAO47AO67AO67AO67AO67AO67AO67AO67AO67AO67AO67AO63AO53AO53AO53AO53AO53AO53AO53AO53AO53AO53AO5xCHOMQhDnGIQxziEIc4xCEOcYhDHOIQhzjEIQ5xiEMd6lCHOtShDnWoQx3qUIc61KEOdahDHepQhzrUoQ6%2Fh%2BP6RpIjiKEoyOPvCARUoK9LctP5ZqXTop7q%2F6H%2F0H%2B4P9yfPz82bdm2Y9ee%2FT355bS3%2FdivDW9reFtDb4beDL0ZejP0ZujN0JuhN0Nvht4MvRl6M%2FRm6M3w1of3PVnJSlaykpWsZCUrWclKVrKSlaxkJStZySpWsYpVrGIVq1jFKlaxilWsYhWrWMUqVrGa1axmNatZzWpWs5rVrGY1q1nNalazmtWsYQ1rWMMa1rCGNaxhDWtYwxrWsIY1rGENa1nLWtaylrWsZS1rWcta1rKWtaxlLWtZyzrWsY51rGMd61jHOtaxjnWsYx3rWMc61rEeTf1o6kdTP%2F84rpMqCKAYhmH8Cfy2JjuLCPiYPDH1Y%2BrH1I%2BpH1M%2Fpn5M%2FZh6FEZhFEZhFEZhFEZhFEZhFFZhFVZhFVZhFVZhFVZhFVbhFE7hFE7hFE7hFE7hFE7hFCKgCChPHQFlc7I52ZxsTgQUAUVAEVAEFAFFQBFQBBQBRUARUAQUAUVAEVAEFAFFQBFQti5bl63L1mXrsnXZuggoAoqAIqAIKAKKgCKgCCgCioAioAgoAoqAIqAIKAKKgCKgCCgCyt5GQBFQBPTlwD7OEIaBKAxSOrmJVZa2TsJcwJ6r0%2F%2B9sBOGnTDshOF%2BDndyXG7k7vfh9%2Bn35fft978Thp2wKuqqqKtarmq58cYbb7zzzjvvfPDBBx988sknn3zxxRdfPHnyVPip8FPhp8JPhZ8KP78czLdxBDAMAMFc%2FbdAk4AERoMS5CpQOW82uWyPHexkJzvZyU52spOd7GQnu9jFLnaxi13sYhe72MVudrOb3exmN7vZzW52s8EGG2ywwQYbbLDBBnvZy172spe97GUve9nLJptssskmm2yyySabbLHFFltsscUWW2yxxX6%2B7P%2BrH%2Fqtf6%2B2Z3u2Z3u2Z3u2Z3u2Z3s%2BO66jKoYBGASA%2FiUFeLO2tqfgvhIgVkOshvj%2F8f%2FjF8VqiL8dqyG%2Bd4klllhiiSWWWGKJJY444ogjjjjiiCOO%2BPua0gPv7paRAHgBLcEDlNxQAADArI3Ydv7Vtm3btm3btm3btm3bD7VvBoIgLXVVqCf0ztXT9dzd3j3cvcX90CN5Snmae%2Fp45np2e356gbeH94HP8Q3x3feH%2FX38NwJwoHigQ2Ba4GBQCK4NfgxVDE0OnQr7w1nCI8P7wi8jdqR4ZGzkRDQSLRmdH%2F0UqxTrEVsbux%2FPHe8b3xh%2FlgglzESJRJfE6MS6ZChZJzkj%2BRouCA9GJKQuMhI5hsZRHR2A7kZ%2FYZWxldhtPDPeFd%2BIPybyE0OIy2SIrEy2IneSX8mvFKB6UpfodPQYeiOTjmnK3GOzsCPYpexaLjdXiRvBHeJ%2B8BX5Lvxe%2FqOACmWEnsJ60SsyYjqxiLhE3CoeE6%2BLL8RvUlRqJXWThkszpJXSbjkq83JaOZ9cXm4gd5IXKZACK4qSSSmiVFWmq0lVUtOr%2BdXyagO1oxbRSM3UsmnFtOpaC62nNkqbo7M60HPppfXaemu9j77X4IwUI49RxqhrtDWOGzeM92Y985lFWWWtcdZia4d10%2FpiU3YZu6%2B91j7rME5xp5szGVAgDcgBioDhYDpYDjaDE%2BAmeAW%2Bp8R%2FA5ajfCcAAAABAAAA3QCKABYAWAAFAAIAEAAvAFwAAAEAAQsAAwABeAF9jgNuRAEYhL%2FaDGoc4DluVNtug5pr8xh7jj3jTpK18pszwBDP9NHTP0IPs1DOexlmtpz3sc9iOe9nmddyPsA8%2BXI%2BqI1COZ%2FkliIXhPkiyDo3vCnG2CaEn0%2B2lH%2BgmfIvotowZa3769ULZST4K%2BcujqTb%2Fj36S4w%2FQmgDF0tWvalemNWLX%2BKSMBvYkhQSLG2FZR%2BafmERIsqPpn7%2ByvxjfMlsTjlihz3OuZE38bTtlAAa%2FTAFAHgBbMEDjJYBAADQ9%2F3nu2zbtm3b5p9t17JdQ7Zt21zmvGXXvJrZe0LA37Cw%2F3lDEBISIVKUaDFixYmXIJHEkkgqmeRSSCmV1NJIK530Msgok8yyyCqb7HLIKZfc8sgrn%2FwKKKiwIooqprgSSiqltDLKKqe8CiqqpLIqqqqmuhpqqqW2Ouqqp74GGmqksSaaaqa5FlpqpbU22mqnvQ466qSzLrrqprs9NpthprNWeWeWReZba6ctQYR5QaTplvvhp4VWm%2BOyt75bZ5fffvljk71uum6fHnpaopfbervhlvfCHnngof36%2BGappx57oq%2BPPpurv34GGGSgwTYYYpihhhthlJFGG%2BODscYbZ4JJJjphoykmm2qaT7445ZkDDnrujRcOOeyY46444qirZtvtnPPOBFG%2BBtFBTBAbxAXxQYJC7rvjrnv%2FxpJXmpPDXpqXaWDg6MKZX5ZaVJycX5TK4lpalA8SdnMyMITSRjxp%2BaVFxaUFqUWZ%2BUVQQWMobcKUlgYAHQ14sAAAeAFFSzVCLEEQ7fpjH113V1ybGPd1KRyiibEhxt1vsj3ZngE9AIfgBmMR5fVk8qElsRjHOHAYW%2BQwyumxct4bKxXkWDEvx7JjdszQNAZcekzi9Zho8oV8NCbnIT%2FfEXNRJwqmlaemnQMbN8E1OE7Mzb%2FP%2F8xzKZrEMA2hl3rQATa0Uxs2bN%2B2f8M2AEpwj5yQBvklvJ3AqRcEaMKrWq%2F19eWakl7NsZbyJoNblqlZc7KywcRbRnBjc00FeF6%2Fenoi05EcG62tsXhkPcdk87BHVC%2BZXleUPrOsUHaUI2tb4y%2F8OwbsTEAJAA%3D%3D%29%20format%28%22woff%22%29%7Dhtml%7Bfont%2Dfamily%3Asans%2Dserif%3B%2Dwebkit%2Dtext%2Dsize%2Dadjust%3A100%25%3B%2Dms%2Dtext%2Dsize%2Dadjust%3A100%25%7Dbody%7Bmargin%3A0%7Darticle%2Caside%2Cdetails%2Cfigcaption%2Cfigure%2Cfooter%2Cheader%2Chgroup%2Cmain%2Cmenu%2Cnav%2Csection%2Csummary%7Bdisplay%3Ablock%7Daudio%2Ccanvas%2Cprogress%2Cvideo%7Bdisplay%3Ainline%2Dblock%3Bvertical%2Dalign%3Abaseline%7Daudio%3Anot%28%5Bcontrols%5D%29%7Bdisplay%3Anone%3Bheight%3A0%7D%5Bhidden%5D%2Ctemplate%7Bdisplay%3Anone%7Da%7Bbackground%2Dcolor%3Atransparent%7Da%3Aactive%2Ca%3Ahover%7Boutline%3A0%7Dabbr%5Btitle%5D%7Bborder%2Dbottom%3A1px%20dotted%7Db%2Cstrong%7Bfont%2Dweight%3A700%7Ddfn%7Bfont%2Dstyle%3Aitalic%7Dh1%7Bmargin%3A%2E67em%200%3Bfont%2Dsize%3A2em%7Dmark%7Bcolor%3A%23000%3Bbackground%3A%23ff0%7Dsmall%7Bfont%2Dsize%3A80%25%7Dsub%2Csup%7Bpos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GgO%2B4Cq%2FKgZNI4tOAWz8fkXv3ga46%2FMAOOuv4gAPxZLZ%2BlASEDgM5gKaJo7ECWf1gCJI4gWFotOAN3hYgbgHoQMQJ61swIlVvAgCHqIAEK0WQaNQFs7Dw4DkuBkH4nCKoH7wNLCx3AD8WfiQf%2BTncB6PqBAEGSgPlv5QE%2FzABw%2FWA8uAdp6AgOaJvUAJQJF7eYESeYEEKpDEAoB4dwEY4JgLxu9QEYFtwA0ATXMCzxXcCAQAKJ5gAfLujAbNfTgQuBE856gW7L2IFgZviBFrk11AAmSDQ%2FzArIy3mAnP2MCgWxXkwLY5GIAP8AbBumBr1gXsBqACvBP1qAjN8QJ%2B%2BxAT%2FAL9IEqo%2FmAKlr8QNfRgHjMB5gZoE7NOAmyExAvHdwCrzRgS%2BXvgcQEPvkOAXpQNPPUAGPv5gT6znz3AB%2FY3%2BkBdAr0MCDtaMAsk2RUB5eIFfFu4GQ1YvfmBUFeq3UDTMD%2F9k%3D%29%200%200%20repeat%7Dp%7Bmargin%2Dtop%3A0%7Da%7Bcolor%3A%232879d0%7Da%3Ahover%7Bcolor%3A%232268b2%7Dheader%7Bpadding%2Dtop%3A40px%3Bpadding%2Dbottom%3A20px%3Bbackground%3A%232e7bcf%20url%28data%3Aimage%2Fjpeg%3Bbase64%2C%2F9j%2F4QAYRXhpZgAASUkqAAgAAAAAAAAAAAAAAP%2FsABFEdWNreQABAAQAAABGAAD%2F4QNYaHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4wLwA8P3hwYWNrZXQgYmVnaW49Iu%2B7vyIgaWQ9Ilc1TTBNcENlaGlIenJlU3pOVGN6a2M5ZCI%2FPiA8eDp4bXBtZXRhIHhtbG5zOng9ImFkb2JlOm5zOm1ldGEvIiB4OnhtcHRrPSJBZG9iZSBYTVAgQ29yZSA1LjMtYzAxMSA2Ni4xNDU2NjEsIDIwMTIvMDIvMDYtMTQ6NTY6MjcgICAgICAgICI%2BIDxyZGY6UkRGIHhtbG5zOnJkZj0iaHR0cDovL3d3dy53My5vcmcvMTk5OS8wMi8yMi1yZGYtc3ludGF4LW5zIyI%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%2BIDwvcmRmOlJERj4gPC94OnhtcG1ldGE%2BIDw%2FeHBhY2tldCBlbmQ9InIiPz7%2F7gAOQWRvYmUAZMAAAAAB%2F9sAhAAEAwMDAwMEAwMEBgQDBAYHBQQEBQcIBgYHBgYICggJCQkJCAoKDAwMDAwKDAwNDQwMEREREREUFBQUFBQUFBQUAQQFBQgHCA8KCg8UDg4OFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT%2FwAARCAMgAFADAREAAhEBAxEB%2F8QAewABAQEBAQEAAAAAAAAAAAAAAQIAAwQFAQEBAQEBAAAAAAAAAAAAAAABAAIDBxAAAQMDBAIBAgUFAQEAAwAAAREhAgAxEkFRYQNxIjLRBIHhUmITkaGxwSNCM%2FGSwhEBAQADAQEBAAMAAAAAAAAAAAERMUEhAmFRgRL%2F2gAMAwEAAhEDEQA%2FAPhT7u%2FtMuzs75T7CQs5SkZWRyXr2qSTzDyi23dAnMl56MFO1OBQZzMQszc6mnETGc1n7n%2B7PRMHKhOYx%2F6nkKd6MRAzkkh%2FIf6mpHKeT9n%2FAJXXalZTnPD%2FAOl11PFWPwWkzkJSTs31O4pwXb7P7v7n7X7jq7ujuMZAhRlJJDJUKEKCj1j7%2BJ9Syxr5%2BrLK84BQgwujPW2VEFfjaN32tRBhJJQempsDUiQVkcFO7uP61RMAVgDFANlYrTSmIIB9P8800YVr8NOTpWSkiWIAgpWz8UpREll67u%2B9CMAc%2Bv015Z6rpYR6JcgLt55poIQyUK42481IIABFdTp45oyikCZOf%2FwaV1gix9iTo3NSAxxIU6aeeaVhSAFjYf681lXCPURuynQLpzSlEjKfsh1bkc0cJh%2F9OtT%2BCc%2BaroAgmJtcBfXmrKL5BRGz22qISRiLX%2FbxakFJEzDcW3o8LDJY28sWWpB0NlXgjWpMFyFkTjalMshFWvxxUIQSs2Gp03oNMAcutUuFtvpVUj1xLG4ZfPFKZlsfjvxUGyigZHLLwOKkTj7rEn8efFSZlgoQ%2FhueKlNhY4ljcM30qUJxyRDkm%2FHigj1ERcqSL%2FlUMk4kzQFdX58VExxz62RwQ6a%2BKv5ECs03W781dRWS%2FJk5vjSqCTiCZoHsvFURJKy9tNPPig5AJWHt%2BDu9SYGSH3umppwipVDLTm%2BNCCkxHtqd6dAkkmYJt538VQmJ94e%2BoS7vRVEAHE%2BjqNCmtKOJJ%2BCERu%2B1Sb2xHo6lnSocYqsvW9i%2B9SIBJgcE%2Fqz1QgAgH1RwjHmoKQmXw0a%2B1CQigejvvxzTCognL1%2FsXepUwUT6%2FRFIUod6qohIoSpRQ6eeamSyov8A524opCxEYkkop04p6ioyk55Zr0Kt6kwKngJzUoPTEubh0F35pRQEsdNANvNS8BxwF0Uqyf7qgJwBm5H4DeomIH8nWi6MnPJqXQ6GwVEtzV4isl0tx%2Bmoj2xAYuV%2BOwqRlkMrDa2%2BtEqwwyBhYjdlvUA6GyKNqkSCJ3ZONqoR7IFAX8DtSChWSprtvQqYLnC1xoN6roxBQCxVQyroeKQzEhnSy7jxUdVpYABtSj%2F2o9RKLNiur8jimIBFhddP6%2BKsiVhgI2Nw6%2BeKvUVipYvHdrVYSfXENqdRxxT6sqkADJQfxIsDWfUvpge7u6erqCz7JRjEKB7Skg03otxLk%2FM9kaff3dpl2dvfLs7JEZTlKRJQI5NX%2BZPJDmtnLIDPSynanATlLF%2B3Uup4qx%2BLJzms%2FwDow5LPViBs5rGJ7NtS71YaAnPEn%2BQ33NWPweseyap%2FIbPfarCYzmR%2F9FP41YTGUll%2F0IA0dnqWa7%2FZ%2Fd%2Fc%2FafcdXf09xEomJMQZASGS4yARQdRWfv5n1MWNfP1ZcyvOhATC5DPzW2KU9h66XfagpQ4hIhVLPxSFFTmkX%2FF3oTAFYetgmpR6v7MAVD6uqC%2FNIx4SCqYqEYvtQoHxAENU1qWCQfYgeLu9JMAcoHB1C33oSAI4m9xpweaQf8A0x%2F87ft81cI9cQ5Yk2qGTLH3Kv45qkwW9VgR%2BDc%2BagBjiXKEghtf61IkDJiUTbRKl4k4p8iqkWHHNSURH2c%2Fh5G5qUaCGfWCtxfyaKYfbEkpcM1qmWQ5L6huNqmg%2BI%2BJQ8cVInIGdv7b%2FSpMMlhZWVU3pSQqaK23NSUklJa3F0oQKoLFDxSCpWaon4XWpGOWcCoVRst6DEAxxKA3Cvx4pwyVGTscd%2BPFRBMTEMbll8UAkhZ3%2Frz4qPjMsGfy1zxTgyxmxJxZQf8ANQYItigCKvFSyPXAMXUIoqiJIWbHyvPipGOOXWg1CPyeKr7EFkYn3fd9akSSvy0LPtehAqi56l32FJJJWXsn9WegMslgkz%2FffxSR7YoZ2IOvPFVUZ1%2BVhztUmMjiEn7ONeKsIkn39v8ALPQiCTLr99Rv%2BqqxJGSH1dQzjepYKFUxQJztUgAcQMNSLH600MhWZxVfLuKNmlD6nDjVnqQQ4kYahkPPNOQUJPx02O1CCEgejrZ%2BKUSCskit0vvQVQXKAME8Kz1JzAjiXP4jyd6R4fXL8P8AVCBxQOSHdOBzSiyzuvjnzUayBYOV4HPmgD0xLlFGnB5pJ9RL5FU%2F1UgRExCk3KM%2BnNQJAykST%2FTmpHrxM%2Bty6MnPmikDLFGuALJrSj7KyW4ulA6PYRbFVsceK0mKrIN%2FbeskhVgG5Lb1IexBsybc1JvZdA122pDe2IsxOyVLDFVmWF0tuy1FUBLPrVLhbb0LKFjiWIQjXzxUPCoBsbXXjxRUFGIYopsX0pRkYrM6OL81JkivWgPD8nipQLHFXuNePFLR9V1THcbeKGalY4hrk%2F1binNUUShmoO9%2BRxQfF9EJdvf0dXXEy7OyUYwCgKTJAFPNH1cS2mTNkHZ3fcdpl2dvdLs7CQs5SkSQiXL0SSeYVoM5r%2F8AQol1O1awBnIgEdhcnWT1L1sp5SAmUCoHZ6PCwnIGB%2FkJO6l3NOBlhKaEHsLJqajmsZSV%2Bw2UubpUutlIBP5Dcq5qxBkmcgZH%2BS3JZ6MF2%2B0%2B7%2B4%2B07%2Brv6e2QkCFAlNJASXEoig6is%2FfzPqYrXzbL484BxQwsea0ywUFoaXfahYCFPiLnf61rK0ogrP0b8XU0IAAmHp5KFnpQC4pgjhn55qSkkSmDY7HagA%2FEDDUsh0Sk1iqy9GLq%2B4oRgufWMWUKXZ6qY5oMShLkKU880sscQbm1k%2FbRGgscUUopdPHNLMUUJmVP9ORQWAAlBCUNm5p2PEsIG4cafnVhK9SS7EbW9fNCSRERDm5VhxzSeKOKzUlPHIoDRTPqxJVr%2BfNRmwFQtEqR%2BmpZIUlkRLstqsIEyQfF1X48UIlVlZNLb1JhksLL%2BDPpSgMjEsGK6c1ZRfIlrcbURJWSAtfePFKUVWaJ%2BKb0Ix%2BUPjptutVUc1ilira8Gr1H1U%2BpXF%2F%2FwBfFVpSscAgNzc%2FlT1KOPuUP9eRxRERisWL%2FwCFPFQSsREsTZX88UorEHWyX48ULA%2F54htTr44pHGJis1HlDyOKGlQxy61B0R%2F3HimrqBI4n31G%2FwBKERIq02Sz7UFjIiI9nU6l7f4pwNqMpLP23GrPUgJFY%2B%2Fm%2B9GFIM5J89Q7804SspL8haz7Vnw4QZHFDPU78VoYUZFZe%2B%2B7PQsGEpZ9ayuQzu9Vwol8SvXchn%2BtRYtL4aMUO1qAHQLDUqCrW5pXCVJn6X8uFqycEXh6My3Z6EkKYfBAoZ6UXyeP%2FlNdqkEliBhuiLxUiQVmcF%2FrvQjAHLrOLKDqzmirrkMcT7bacHmtXaJxyVXIt5HmrKHrjFyxOnjmnPqUcQZueW581lRgYiUHP9OfNIwmOOBchxoOeakfVXJHrqOKEwTAKTrpwOaSxMQZueW580RUxTPrQm40581cU2FlibXH6TvV1QrISRkThmoQdAVipJ%2FT5qyiShmicW3qwsNFSYWXW25tVVgDJCqXCWpTeyoEAS7bVeJvfEIiqduKsxE5LOw2LWWhGK5wCi420NJjmDAwKA3DL54qBGIlqpFwePFBAIEIsQpOvA4pVJxJmxUakvccUJokGUGdjfmoAYkE4lFDKv8AqnCY45IWOLu1qjG9cQxR9X04qBOOU1Ba5%2FELpUV9HWe37jo6oRJ7OyUYwCj5SkgvzWfrVtantjdnf3dxl2dvfLsnIhZylKRLIFN6pMeSD%2FVuxnPJf5DZw98agkzkg%2F6FVuppws0mc1n%2FANCE5LOKMHLZSWIMzeyl3qwsj%2BSaH%2Fo%2B6nY1WRH%2BSQJTs0cEnarETfyTEB%2F0Lkup2qwmM5LM%2FwAhTZSz%2BKQ7%2FZ%2FefcfZ%2Fc9Xd09xEgYqMpASAkuMkRQUesfXzPqYw18%2FVl28oXF4ah35rYwUKtFUjdDdKLUCCIhIb71InIymMVVXfepMPlFYu2%2B%2Fmmph8fgzb81dTe2S46JrtapBCgGGpZ2tVkEiSy9FP4u4oODASy6%2FTUCx3opm0JEgqSXCtsvNOGSAMlUrjtx5pIOOIClCToOKESI5TWTuLc%2BaeBgIrByujDfzR6QBERKrcOl70o%2BuVz8Wb9tHEPTEexRTp%2BdVVJRZ3Ul258vUjERz61JVRpz5oXQ6OBcJatA%2ByiwCcbVESySPxv8Atom0o5ZTYapbfWrzAD5Qtovx3v8AjUQ%2BJRLj9NRZ1FkTjaqBvbG0bn9PDVKl1k44tvzUqYZZQsijZb0VTaFjiUW%2B978VocIxVg6bhwnihCRikWNzr%2BVU2eKOOU2OqvzTwAGOXWxuz6r4oLNiVDKNR9KkGUMVx%2FtjVEFhhrc6%2BOKVVMsmTd7v4oFMMc%2Btiqh154opmwssT7a8tWhCrvNWcPteoiRkkffU%2Fqo6lEyyn77pdnq4Apyh7bbu9RCnE%2B6FQ7%2FSospUe2ln2vVAyyx%2Bep3e1VVKvJJ%2F5Z%2BKqqYE5Q99Qz70HqUb4I7X5rTM0pJKPXS77WegpkCkf%2BetkP1qm0qQ9p%2Bm%2B7vVwBDlD0Tl2eosksT6q4Z6iEKj10u%2B1qoAhw%2BGpUPZqTVIVl6%2BLu9ApiDl1%2Bmod9%2BazVNoZC6u7eea2Jo%2Bq6qm3HmpCQjjFzc6D60TaUccp%2Bx105p9wgMcoOVbTnzQQkcTe40%2FOpMyhz8bJ%2B2qaTeuA9jco2rPelU%2Bqyvy3PJoopjjn1uVUMnNFM3A6OBcJatA%2ByiwCcbVESySPxv%2B2ibSjllNhqlt9avMAPlC2i%2FHe%2F41EPiUS4%2FTUWdRZE42qgb2xtG5%2FTw1SpdZOOLb81KmGWULIo2W9FU2hsSiorve%2FFbCvVbOm4slCEkxiUKKdfyokRIjlNjy%2FNPuEAAZQQHcP%2B7xQmYxLEuNfypwcxmEkIcR30xqiCDEMbnXxxUslgZsQl358UCunR1nt7%2Bjq64k9vZKMYBQFMpINqLq2tT2xuz7j7jtMuzt7pdkyRlOUpSkwRyXpkk1Bm3o%2Fknkv8hs4BO16sJMpzAH%2FUqTf2%2BlU2lGXYsv%2Bh11LPVjxZGc1h7qDyXepN%2FJNCf5Cqh1OtGImHZMH5sQ4U7U4Tfydgh%2F9HUgFTxUmzkTL3PhSgenIrv9n959x9p9x09%2FR2mMomKxWSSAkDjJEUFHrn9%2FM%2BpjDfz9WV5kb4I7X5roxNKSSj10u%2B1noKZApH%2FnrZD9aptKkPafpvu71cAQ5Q9E5dnqLJLE%2BquGeohCo9dLvtaqAIcPhqVD2ak1SFZevi7vQKYg5dfpqHffms1TaGQuru3nmtiaPquqptx5qQkI4xc3Og%2BtE2lHHKfsddOafcIDHKDlW0580EJHE3uNPzqTMoc%2FGyftqmk3rgPY3KNqz3pVPqsr8tzyaKKY459blVDJzRTNwOjgXCWrQPsosAnG1REskj8b%2Ftom0o5ZTYapbfWrzAD5Qtovx3v%2BNRD4lEuP01FnUWRONqoG9sbRuf08NUqXWTji2%2FNSphllCyKNlvRVNoWOJRb73vxWhwjFWDpuHCeKEJGKRY3Ov5VTZ4o45TY6q%2FNPAAY5dbG7Pqvigs2JUMo1H0qQZQxXH%2B2NUQWGGtzr44pVUyyZN3u%2FigUwxz62KqHXniimbSyF1d2881oTR9V1VNuPNSEhHGLm50H1om0o45T9jrpzT7hAY5Qcq2nPmghI4m9xp%2BdSZlDn42T9tU0m9cB7G5RtWe9Kp9VlflueTRRTHHPrcqoZOaKZuB0cC4S1aB9lFgE42qIlkkfjf9tE2lHLKbDVLb61eYAfKFtF%2BO9%2FxqIfEolx%2Bmos6iyJxtVA3tjaNz%2BnhqlS6yccW35qVMMsoWRRst6KptCxxKLfe9%2BK0OEYqwdNw4TxQhIxSLG51%2FKqbPFHHKbHVX5p4ADHLrY3Z9V8UFmxKhlGo%2BlSDKGK4%2F2xqiCww1udfHFKqmWTJu938UCmGOfWxVQ688UUzYWWJ9teWrQhV3mrOH2vURIySPvqf1UdSiZZT990uz1cAU5Q9tt3eohTifdCod%2FpUWUqPbSz7XqgZZY%2FPU7vaqqlXkk%2F8s%2FFVVMCcoe%2BoZ96D1AQxJEbEb881vDM0pXsLc7VlA%2FGJxCKd%2FrVCSmU%2FUa%2F5px4AHlBIjdfx80LLXiWBcb%2FAFpwstaSEBRH%2FwDmrBH%2FAI%2BOpZ%2BOalaSUMlAbzvQK6dMJdvf0dMICXZ2SjGAXWUkFzrRfJbWp7Zhuzv%2B57TLs7ezsn2SI9pylKRACOSVpkk0M2jLuyVZInKKlXi9TKXegeak81Ta9UZdqyeeqOd6vMLNGXasFMkN1XepZbPuQlZKoS680Yi9Ydnat5IQ7khUpxKm%2Fk7sLyuVuqNViJsu0mTyQ2DnWnIrv9n93939n9x09%2FTOUTExJCyEZASBxkhCgpXP7ksxW%2Fn6svjyshdXdvPNdGJo%2Bq6qm3HmpCQjjFzc6D60TaUccp%2Bx105p9wgMcoOVbTnzQQkcTe40%2FOpMyhz8bJ%2B2qaTeuA9jco2rPelU%2Bqyvy3PJoopjjn1uVUMnNFM3A6OBcJatA%2ByiwCcbVESySPxv%2B2ibSjllNhqlt9avMAPlC2i%2FHe%2F41EPiUS4%2FTUWdRZE42qgb2xtG5%2FTw1SpdZOOLb81KmGWULIo2W9FU2hY4lFvve%2FFaHCMVYOm4cJ4oQkYpFjc6%2FlVNnijjlNjqr808ABjl1sbs%2Bq%2BKCzYlQyjUfSpBlDFcf7Y1RBYYa3OvjilVTLJk3e7%2BKBTDHPrYqodeeKKZsLLE%2B2vLVoQq7zVnD7XqIkZJH31P6qOpRMsp%2B%2B6XZ6uAKcoe227vUQpxPuhUO%2F0qLKVHtpZ9r1QMssfnqd3tVVSrySf%2BWfiqqmBOUPfUM%2B9B6jEodHCOOa0zNKQqHFkuNqkmUSkXFzqKJsqMTlNg668058AETlCzXcb0EIcCF1GopWGQqC3xS%2F7aJpDE4aXOo4alVRBWTjhwNaBTCJy6y1xchb0UzaVjiUW%2B978VocIxVg6bhwnihCRikWNzr%2BVU2eKOOU2OqvzTwAGOXWxuz6r4oLNiVDKNR9KkGUMVx%2FtjVEFhhrc6%2BOKVVMsmTd7v4oFMMc%2Btiqh154opmwssT7a8tWhCrvNWcPteoiRkkffU%2Fqo6lEyyn77pdnq4Apyh7bbu9RCnE%2B6FQ7%2FSospUe2ln2vVAyyx%2Bep3e1VVKvJJ%2F5Z%2BKqqYE5Q99Qz70HqUb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<h1 class="title toc-ignore">R ile Veri Kazıma Alıştırmaları</h1>
<h3 class="author"><strong>Sadettin Demirel</strong></h3>
<h3 class="date">3/22/2019</h3>
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<p>Veri çağında yaşıyoruz. Önümüz arkamız sağımız solumuz veri. Hükümetler, uluslararası kuruluşlar, haber merkezleri verilerini kullanıma açıyor, bu veriler, araştırma, geliştirme, gazetecilik vb amaçları için kullanılıyor ve yeniden dağıtıma sokuluyor. Ama üretilen ve paylaşılan her veri açık veri statüsünde değil. Web ortamında paylaşılan her veri indirilemiyor, indirilse dahi uygun formatta olmadığı için kullanılamıyor. Twitter, Google, Facebook gibi büyük oluşumlar bu verileri bir API (Uygulama Programlama Arayüzü) hizmetiyle ticarileştirerek kullanıma sunuyor. Önceki yazımda “R ile tweet verisi nasıl çekilir” yazımda bunu detaylı olarak ele almıştım. Peki API hizmeti sunmayan web sitelerinin verileri nerede? Bu websitelerindeki verileri nasıl kazıyabiliriz? bu yazıda R kullanarak uygulamalı olarak anlatacağım.</p>
<p>Anlatacağım yöntemle web sitelerindeki metin verileri (cümleler, paragrafları) de kazınabilir. Fakat bu pratikte web sayfalarına hapsedilmiş veri tablolarını kazıyacağız. Veri kazıma pratiği için iki ayrı websitede adresinden yararlanacağız. İlki <a href="https://tez.yok.gov.tr/UlusalTezMerkezi/IstatistikiBilgiler?islem=3">Yök Tez Merkezi İstatistikleri</a>, diğeri <a href="https://www.mackolik.com/puan-durumu/t%C3%BCrkiye-spor-toto-s%C3%BCper-lig/istatistik/482ofyysbdbeoxauk19yg7tdt">Maçkolik Süper Lig Gol istatistikleri</a> Her iki adresteki veriler de tablo formatında. O halde her biri için ayrı bir yöntem kullanarak, bu verileri kazıyalım.</p>
<div id="kullanclacak-paketler-ve-on-hazrlk" class="section level4">
<h4>Kullanıcılacak paketler ve ön hazırlık</h4>
<p>Veri kazıma pratiğinde <strong>rvest</strong> paketini kullanacağız. Bunun yanısıra <strong>tidyverse</strong> ve <strong>janitor</strong> paketleri de kazınan verinin düzenlenmesi ve görselleştirilmesi için işimize yarayacak.</p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co">#paketleri yüklemeyi unutmayın!</span>
<span class="co">#install.packages("rvest")...</span>
<span class="kw">library</span>(<span class="st">"rvest"</span>)
<span class="kw">library</span>(<span class="st">"tidyverse"</span>)
<span class="kw">library</span>(<span class="st">"janitor"</span>)</code></pre></div>
<p>Paketleri çağırdıktan sonra yapmamız gereken kazıyacağımız web sayfalarının adresilerini R’a aktarmak. <strong>read_html</strong> fonksiyonu ile <em>adresleri</em> tanımlayarak bunu yapabiliriz. Bundan sonraki adımda tanımladığımız <strong>yok_link</strong> ve <strong>mackolik</strong> öğeleriyle işlemler yapacağız.</p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">yok_link <-<span class="st"> </span><span class="kw">read_html</span>(<span class="st">"https://tez.yok.gov.tr/UlusalTezMerkezi/IstatistikiBilgiler?islem=3"</span>)
mackolik<-<span class="st"> </span><span class="kw">read_html</span>(<span class="st">"https://www.mackolik.com/puan-durumu/t%C3%BCrkiye-spor-toto-s%C3%BCper-lig/istatistik/482ofyysbdbeoxauk19yg7tdt"</span>)</code></pre></div>
</div>
<div id="pratik-1-yok-tez-merkezi-verileri" class="section level4">
<h4>Pratik 1: Yök Tez Merkezi Verileri</h4>
<p>Veri tablosu içeren html tabanlı tüm web sayfalarını <em>rvest</em> paketinin html_table() fonksiyonuyla kazıyabiliriz. Aşağıdaki işlemde yök tez merkezi verilerinin bulunduğu adresi html_table ile kazıdık. <strong>fill = TRUE</strong> argümanı sayesinde R veri tablosunda eksik verileri NA, yani eksik veri olarak okuyor. Ayrıca, kazıdığımız verileri <strong>yok_tez</strong> isimli yeni bir öğeye kaydettik, çünkü kazıdığımız veri henüz istediğimiz tablo formatında değil. <strong>View(yok_tez)</strong> kodu ile verinin ne kadar dağınık olduğuna göz atabiliriz.</p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">yok_tez <-<span class="st"> </span>yok_link <span class="op">%>%</span><span class="st"> </span><span class="kw">html_table</span>(<span class="dt">fill =</span> <span class="ot">TRUE</span>)</code></pre></div>
<p>Kazıdığımız veri <strong>yok_tez</strong> şuan R’ın veri formatlarından biri olan liste formatında. Listedeki [[1]] ve [[2]] numaraları iki ayrı veri tablosunndan oluştuğunu ifade ediyor. O halde her iki veri tablosunu göz atalım. Bakalım hangisi yök tez verileri.</p>
<p>Birinci veri tablosu işimize yaraymayacak (junk) veriler içeriyor. İkinc tablo de ise konulara ve derecelere göre tez sayılarını görebiliryoruz. Tek veri tablosu ismi ve sütun isimleri değer olarak yer alıyor.</p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">head</span>(yok_tez[[<span class="dv">2</span>]])</code></pre></div>
<pre><code>## X1 X2 X3 X4 X5
## 1 Konulara göre Konulara göre Konulara göre Konulara göre Konulara göre
## 2 Konu Bakınız Ayrıca Bkz. Yüksek Lisans Doktora
## 3 Adli Tıp 734 248
## 4 Ağaç İşleri 551 91
## 5 Aile Hekimliği 53 11
## 6 Aile Planlaması 71 17
## X6 X7 X8
## 1 Konulara göre Konulara göre Konulara göre
## 2 Tıpta Uzmanlık Sanatta Yeterlik Diş Hekimliği Uzmanlık
## 3 374 0 1
## 4 0 1 0
## 5 1254 0 0
## 6 18 0 0
## X9 X10
## 1 Konulara göre Konulara göre
## 2 Tıpta Yan Dal Uzmanlık Toplam
## 3 0 1357
## 4 0 643
## 5 0 1318
## 6 0 106</code></pre>
<p>Sütun isimlerini düzenlenmeden önce hala <strong>yok_tez</strong> listesinde bulunan 2. veri setini, veri tablosu olarak kaydedelim. Bu hem işimizi kolaylaştıracak hem de gereksiz veri setinden kurtulmuş olacağız. Bunu <strong>as.data.freame()</strong> fonksiyonu içerisine <strong>yok_tez[[2]]</strong> ekleyerek yapabiliriz.</p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">yok_tablo <-<span class="st"> </span><span class="kw">as.data.frame</span>(yok_tez[[<span class="dv">2</span>]])
<span class="kw">head</span>(yok_tablo)</code></pre></div>
<pre><code>## X1 X2 X3 X4 X5
## 1 Konulara göre Konulara göre Konulara göre Konulara göre Konulara göre
## 2 Konu Bakınız Ayrıca Bkz. Yüksek Lisans Doktora
## 3 Adli Tıp 734 248
## 4 Ağaç İşleri 551 91
## 5 Aile Hekimliği 53 11
## 6 Aile Planlaması 71 17
## X6 X7 X8
## 1 Konulara göre Konulara göre Konulara göre
## 2 Tıpta Uzmanlık Sanatta Yeterlik Diş Hekimliği Uzmanlık
## 3 374 0 1
## 4 0 1 0
## 5 1254 0 0
## 6 18 0 0
## X9 X10
## 1 Konulara göre Konulara göre
## 2 Tıpta Yan Dal Uzmanlık Toplam
## 3 0 1357
## 4 0 643
## 5 0 1318
## 6 0 106</code></pre>
<p>Yukarıdaki işlemle veri tablosunu <strong>yok_tablo</strong> olarak kaydettik. Bu aşamadan sonra eğer isterseniz bu veriyi dışarı aktarıp Excelde veya istediğiniz veri aracında temizleyerek kullanabilirsiniz. Dışarı aktarmak için aşağıdaki kodu kullanabilirsiniz.</p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">write_csv</span>(yok_tablo, <span class="st">"~/desktop/yok_tablo1.csv"</span>)</code></pre></div>
<p>Bir diğer yol “R ekosisteminde dağınık veriler nasıl temizlenir” yazımda ele aldığım gibi bu veri tablosunu temizleyebilir, derli hale getirebiliriz. Fakat bu aşamada sütun isimlerini düzenlememiz yeterli olacaktır. Bunun için <strong>dplyr</strong> ve <strong>janitor</strong> paketlerini kullanacağız.</p>
<p>İlk olarak <strong>select</strong> komutuyla 1,,4,5,10.’cu sütunları seçiyoruz. Sonrasında <strong>row_to_names</strong> fonksiyonu ile hangi satırın sütun ismi olarak seçeceksek <strong>row_number</strong> argumanına belirtiyoruz. Bu veri setinde istediğimiz isimler 2. satırda. Diğer tanımladığımız argümanlar ise sütun isimleri olarak belirlediğimiz satırdaki verileri (<strong>remove_row</strong>) ve üst satırlardaki değerleri (<strong>remove_rows_above</strong>) temizlememizi sağlıyor.</p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">yok_derli <-<span class="st"> </span>yok_tablo <span class="op">%>%</span><span class="st"> </span><span class="kw">select</span>(<span class="dv">1</span>,<span class="dv">4</span>,<span class="dv">5</span>,<span class="dv">10</span>) <span class="op">%>%</span><span class="st"> </span><span class="kw">row_to_names</span>(<span class="dt">row_number =</span> <span class="dv">2</span>, <span class="dt">remove_row =</span> <span class="ot">TRUE</span>, <span class="dt">remove_rows_above =</span> <span class="ot">TRUE</span>)
<span class="kw">head</span>(yok_derli)</code></pre></div>
<pre><code>## Konu Yüksek Lisans Doktora Toplam
## 3 Adli Tıp 734 248 1357
## 4 Ağaç İşleri 551 91 643
## 5 Aile Hekimliği 53 11 1318
## 6 Aile Planlaması 71 17 106
## 7 Aktüerya Bilimleri 103 17 120
## 8 Allerji ve İmmünoloji 170 117 645</code></pre>
<p>Kazıma işlemini tamamladık hatta kazınan veriyi biraz temizledik. Bundan sonraki adımda metin verisi olarak algılanan <em>Yüksek Lisans</em>, <em>Doktora</em> ve <em>Toplam</em> değişkenleri sayı verisine dönüştürülerek analiz devam ettirilebilir. Şimde geçelim ikinci veri kazıma pratiğine.</p>
</div>
<div id="pratik2-mackolik-verileri" class="section level4">
<h4>Pratik2: Maçkolik Verileri</h4>
<p>İkinci pratikte Maçkolik Süperlig gol istatistiklerini yine <strong>html_table</strong> ile çekebiliriz. Ama işimizi kolaylaştırmayalım. Gol istatistiklerini metin verisi olarak çekip R’da birleştirelim. Bazı durumlarda html_table() fonksiyonu işe düzgün çalışmayabiliyor.</p>
<p>ikinci adım ilkine göre biraz meşakatli. Bu adımda tablolardaki veriyi çekmek için sırasıyla <strong>html_node</strong> ve <strong>html_text</strong> komutlarını kullanacağız. Çünkü kazıyacağımız verileri htmel ve css node’ları ile web sitede görüntüleniyor. Veri tablosuna karşılıl gelen <strong>node</strong> ları bulabilmek için bir tarayıcı eklentisi kullanacağız: <strong>sellector gadget</strong>. Bu eklenti tarayıcılarda sağa tılayıp inpect seçeneğiyle aynı görevi görüyor. Farkı tabloya karşılık gelen Node’u zaman kaybetmeden elde ediyoruz.</p>
<p>Maçkolik süper lig gol istatistiklerine açıyoruz ve eklenti ile oyuncu ismi üzerine tıklıyoruz. Sağ altta eklenti bize ilgili node’u verdi. Sonrasında yapmamız gereken node’u aşağıdaki olduğu gibi <strong>html_nodes()</strong> komutu içerisine ekleyebiliriz. Ve son olarak <strong>html_text()</strong> node’daki verileri metin verisine dönüştürdük. Veriyi <strong>oyuncu</strong> öğesine kaydettik. <strong>View(oyuncu)</strong> komutu ile neyi kazıdığımızı görebiliriz.</p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">oyuncu <-<span class="st"> </span>mackolik <span class="op">%>%</span><span class="st"> </span><span class="kw">html_nodes</span>(<span class="st">".p0c-competition-player-ranking__player-name"</span>) <span class="op">%>%</span><span class="st"> </span><span class="kw">html_text</span>(<span class="dt">trim =</span> <span class="ot">TRUE</span>)
<span class="kw">head</span>(oyuncu)</code></pre></div>
<pre><code>## [1] "M. Diagne" "H. Rodallega" "P. Cissé" "Burak Yılmaz"
## [5] "H. Onyekuru" "V. Muriqi"</code></pre>
<p>Bundan sonraki adımlarda <strong>takım</strong> ve <strong>gol_sayısı</strong> içinde gerekli node’ları seçtikten aynı işlemi tekrarlayabiliriz. Bu arada <em>trim = TRUE</em> metin verisindeki gereksiz boş alanları kaldırıyor.</p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">takım <-<span class="st"> </span>mackolik <span class="op">%>%</span><span class="st"> </span><span class="kw">html_nodes</span>(<span class="st">".p0c-competition-player-ranking__cell--team"</span>) <span class="op">%>%</span><span class="st"> </span><span class="kw">html_text</span>(<span class="dt">trim =</span> <span class="ot">TRUE</span>)
gol_sayisi <-<span class="st"> </span>mackolik <span class="op">%>%</span><span class="st"> </span><span class="kw">html_nodes</span>(<span class="st">".p0c-competition-player-ranking__cell--stat"</span>) <span class="op">%>%</span><span class="st"> </span><span class="kw">html_text</span>(<span class="dt">trim =</span> <span class="ot">TRUE</span>)</code></pre></div>
<p>Her üç sütundeki değerleri kazıdık. Şimdi elimizdeki parçaları birleştirerek bir veri tablosu oluşturalım. Bu aşamada metin verisinden oluşan üç öğeyi <strong>tibble</strong> komutuyla tablo formatına dönüştürelim. <strong>tibble</strong>, <strong>as.data.frame</strong> komutunun modern hali diyebiliriz. Ayrıca Yeni Zelanda İngilizcesinde <strong>table</strong> anlamına geliyor.</p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co">#verileri birleştirelim</span>
mackolik_derli <-<span class="st"> </span><span class="kw">tibble</span>(oyuncu, takım, gol_sayisi)
<span class="kw">head</span>(mackolik_derli)</code></pre></div>
<pre><code>## # A tibble: 6 x 3
## oyuncu takım gol_sayisi
## <chr> <chr> <chr>
## 1 M. Diagne Galatasaray 23
## 2 H. Rodallega Trabzonspor 12
## 3 P. Cissé Alanyaspor 12
## 4 Burak Yılmaz Beşiktaş 11
## 5 H. Onyekuru Galatasaray 11
## 6 V. Muriqi Çaykur Rizespor 11</code></pre>
<p>Veri tablosunu oluşturduk ama <strong>gol_sayisi</strong> metin verisi olarak algılanmış. <strong>as.numeric</strong> komutu ile gol_sayısı değişkenini sayı formatına dönüştürelim.</p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">mackolik_derli<span class="op">$</span>gol_sayisi <-<span class="st"> </span><span class="kw">as.numeric</span>(mackolik_derli<span class="op">$</span>gol_sayisi)
<span class="kw">head</span>(mackolik_derli)</code></pre></div>
<pre><code>## # A tibble: 6 x 3
## oyuncu takım gol_sayisi
## <chr> <chr> <dbl>
## 1 M. Diagne Galatasaray 23
## 2 H. Rodallega Trabzonspor 12
## 3 P. Cissé Alanyaspor 12
## 4 Burak Yılmaz Beşiktaş 11
## 5 H. Onyekuru Galatasaray 11
## 6 V. Muriqi Çaykur Rizespor 11</code></pre>
<p>Evet yukarıdaki tabloda da görüldüğü üzere veri kazıma ve temizleme işlemini hallettik. Temizlenen veriye şuradan ulaşabilirsiniz:</p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">write.csv</span>(mackolik_derli, <span class="st">"~/desktop/mackolik_derli.csv"</span>)</code></pre></div>
</div>
<div id="veri-gorsellestirmenin-detayl-admlar" class="section level4">
<h4>Veri görselleştirmenin detaylı adımları</h4>
<p>Son olarak kazıdığımız ve temizlediğimiz veriyi görselleştirelim.</p>
<ol style="list-style-type: decimal">
<li>Renkleri oluşturalım</li>
</ol>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">palette <-<span class="st"> </span><span class="kw">c</span>(
<span class="st">"Galatasaray"</span> =<span class="st"> "#c40b13"</span>,
<span class="st">"Beşiktaş"</span> =<span class="st"> "#33313b"</span>,
<span class="st">"İstanbul Başakşehir"</span> =<span class="st"> "#f69314"</span>,
<span class="st">"Trabzonspor"</span> =<span class="st"> "#4592af"</span>,
<span class="st">"Alanyaspor"</span> =<span class="st">"#dadddf"</span>,
<span class="st">"Çaykur Rizespor"</span>=<span class="st"> "#dadddf"</span>,
<span class="st">"Sivasspor"</span>=<span class="st"> "#dadddf"</span>,
<span class="st">"Yeni Malatyaspor"</span>=<span class="st"> "#dadddf"</span>,
<span class="st">"Antalyaspor"</span>=<span class="st"> "#dadddf"</span>,
<span class="st">"Kasımpaşa"</span>=<span class="st"> "#dadddf"</span>,
<span class="st">"Göztepe"</span>=<span class="st"> "#dadddf"</span>,
<span class="st">"BB Erzurumspor"</span>=<span class="st"> "#dadddf"</span>,
<span class="st">"Kayserispor"</span>=<span class="st"> "#dadddf"</span>,
<span class="st">"Konyaspor"</span>=<span class="st"> "#dadddf"</span>,
<span class="st">"MKE Ankaragücü" = "</span><span class="co">#dadddf")</span></code></pre></div>
<ol start="2" style="list-style-type: decimal">
<li>Temayı özelleştirelim</li>
</ol>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">theme_custom1 <-<span class="st"> </span><span class="cf">function</span>() {
<span class="kw">theme_minimal</span>() <span class="op">+</span>
<span class="st"> </span><span class="kw">theme</span>(
<span class="dt">text =</span> <span class="kw">element_text</span>(<span class="dt">family =</span> <span class="st">"Proxima Nova"</span>, <span class="dt">color =</span> <span class="st">"gray25"</span>),
<span class="dt">plot.title =</span> <span class="kw">element_text</span>(<span class="dt">face =</span> <span class="st">"bold"</span>,<span class="dt">size =</span> <span class="dv">14</span>),
<span class="dt">plot.subtitle =</span> <span class="kw">element_text</span>(<span class="dt">size =</span> <span class="dv">13</span>),
<span class="dt">axis.text.x=</span> <span class="kw">element_text</span>(<span class="dt">size=</span><span class="dv">11</span>),
<span class="dt">axis.text.y =</span> <span class="kw">element_text</span>(<span class="dt">size=</span><span class="dv">11</span>),
<span class="dt">plot.caption =</span> <span class="kw">element_text</span>(<span class="dt">size =</span> <span class="dv">11</span>, <span class="dt">color =</span> <span class="st">"gray30"</span>),
<span class="dt">plot.background =</span> <span class="kw">element_rect</span>(<span class="dt">fill =</span> <span class="st">"#f6f5f5"</span>),
<span class="dt">legend.position =</span> <span class="st">"none"</span>)
}</code></pre></div>
<p>3.Atılan golleri takımlara göre görselleştirelim</p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">ggplot</span>(mackolik_derli, <span class="kw">aes</span>(<span class="kw">fct_reorder</span>(oyuncu, gol_sayisi),gol_sayisi, <span class="dt">fill =</span> takım, <span class="dt">label =</span> gol_sayisi))<span class="op">+</span>
<span class="st"> </span><span class="kw">geom_col</span>(<span class="dt">show.legend =</span> <span class="ot">FALSE</span>)<span class="op">+</span><span class="st"> </span>
<span class="st"> </span><span class="kw">geom_text</span>(<span class="dt">check_overlap =</span> <span class="ot">TRUE</span>, <span class="dt">hjust =</span> <span class="op">-</span><span class="fl">0.2</span>)<span class="op">+</span>
<span class="st"> </span><span class="kw">scale_fill_manual</span>(<span class="dt">values =</span> palette)<span class="op">+</span>
<span class="st"> </span><span class="kw">labs</span>(<span class="dt">x=</span><span class="st">""</span>,<span class="dt">y=</span><span class="st">""</span>,<span class="dt">title =</span> <span class="st">"Süper Ligin Golcüleri 2018/2019"</span>, <span class="dt">subtitle =</span><span class="st">"Sadece 4 takımın oyuncuları için renk kullanılmıştır"</span> ,<span class="dt">caption =</span> <span class="st">"@demirelsadettin / kaynak: maçkolik"</span>)<span class="op">+</span>
<span class="st"> </span><span class="kw">coord_flip</span>()<span class="op">+</span><span class="kw">theme_custom1</span>()</code></pre></div>
<p><img 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" 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