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<title>Cyclistic Bike - Case Study</title>
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WZWHK5LZgl9279229we2OBUX50kuVjv5QDo7PBwnsvrhWJF%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%2B3DnRfV7nXGOc5zjHOc4xznOcY5znOMc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A7%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%7D%2A%7Bbox%2Dsizing%3Aborder%2Dbox%7Dbody%7Bpadding%3A0%3Bmargin%3A0%3Bfont%2Dfamily%3A%22Open%20Sans%22%2CHelvetica%2CArial%2Csans%2Dserif%3Bfont%2Dsize%3A16px%3Bfont%2Dweight%3A400%3Bline%2Dheight%3A1%2E5%3Bcolor%3A%23666%3Bbackground%2Dcolor%3A%23fafafa%7D%2Einner%7Bposition%3Arelative%3Bwidth%3A840px%3Bfont%2Dsize%3A1%2E1em%3Bmargin%3A0%20auto%7Dheader%7Bpadding%2Dtop%3A40px%3Bpadding%2Dbottom%3A40px%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%2BKqqYE5Q99Qz70HqUb4I7X5rTM0pJKPXS77WegpkCkf%2BetkP1qm0qQ9p%2Bm%2B7vVwBDlD0Tl2eosksT6q4Z6iEKj10u%2B1qoAhw%2BGpUPZqTVIVl6%2BLu9ApiDl1%2Bmod9%2BazVNoQGJclwreea6Dikityqf680JMhHGJdFOg%2BtE2VEDKbnVW5p4AADKCElENhZfNCYAGJu5Gn50nxkAkhLiNvw80IIMbm5RtW5pXhIiDNV5ZdfNArp0dR7e%2Fo6utT2dkoxhFgplJA5NF8mWp7Y3Z3%2Fc9pl2dvZ2T7JEe05SlIgBHJK0ySaGbRl3ZKskTlFSrxeplLvQPNSeapteqMu1ZPPVHO9XmFmjLtWCmSG6rvUstn3ISslUJdeaMResOztW8kIdyQqU4lTfyd2F5XK3VGqxE2XaTJ5IbBzrTkV3%2Bz%2B7%2B7%2Bz%2B46e%2FpnKJiYkhZCMgJA4yQhQUrn9yWYrfz9WXx5WQuru3nmujE0fVdVTbjzUhIRxi5udB9aJtKOOU%2FY66c0%2B4QGOUHKtpz5oISOJvcafnUmZQ5%2BNk%2FbVNJvXAexuUbVnvSqfVZX5bnk0UUxxz63KqGTmimbgdHAuEtWgfZRYBONqiJZJH43%2FbRNpRyymw1S2%2BtXmAHyhbRfjvf8aiHxKJcfpqLOosicbVQN7Y2jc%2Fp4apUusnHFt%2BalTDLKFkUbLeiqbQscSi33vfitDhGKsHTcOE8UISMUixudfyqmzxRxymx1V%2BaeAAxy62N2fVfFBZsSoZRqPpUgyhiuP9saogsMNbnXxxSqplkybvd%2FFAphjn1sVUOvPFFM2FlifbXlq0IVd5qzh9r1ESMkj76n9VHUomWU%2FfdLs9XAFOUPbbd3qIU4n3QqHf6VFlKj20s%2B16oGWWPz1O72qqpV5JP%2FLPxVVTAnKHvqGfeg9RiUOjhHHNaZmlIVDiyXG1STKJSLi51FE2VGJymwddeac%2BACJyhZruN6CEOBC6jUUrDIVBb4pf9tE0hicNLnUcNSqogrJxw4GtAphE5dZa4uQt6KZtKxxKL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<div class="inner">
<h1 class="title toc-ignore">Cyclistic Bike - Case Study</h1>
<h3 class="author">Nidal Iguer</h3>
<h3 class="date">19/04/2021</h3>
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</header>
<div id="content-wrapper">
<div class="inner clearfix">
<section id="main-content">
<div id="purpose" class="section level3">
<h3>Purpose</h3>
<p>The objective of this analysis is to identify the differences between Cyclistic members and casual riders. The data used covers the previous 12 Months from Apr-2020 to Mar-2021 as asked for in the case study.</p>
</div>
<div id="ask" class="section level3">
<h3>Ask</h3>
<ol style="list-style-type: decimal">
<li>How do annual members and casual riders use Cyclistic bikes differently?</li>
<li>Why would casual riders buy Cyclistic annual memberships?</li>
<li>How can Cyclistic use digital media to influence casual riders to become members? <br><br></li>
</ol>
<hr />
</div>
<div id="prepare-and-process-the-data" class="section level1">
<h1>Prepare and process the data</h1>
<div id="loading-the-packages-needed" class="section level2">
<h2>Loading the packages needed</h2>
<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(tidyverse)</span>
<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(readxl)</span>
<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(lubridate)</span>
<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(hms)</span>
<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(scales)</span>
<span id="cb1-6"><a href="#cb1-6" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(geosphere)</span>
<span id="cb1-7"><a href="#cb1-7" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(RiverLoad)</span>
<span id="cb1-8"><a href="#cb1-8" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(prettydoc)</span>
<span id="cb1-9"><a href="#cb1-9" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(fontawesome)</span></code></pre></div>
</div>
<div id="merging-xlsx-files" class="section level2">
<h2>Merging xlsx files</h2>
<p>The datasets we’re going to use is separated in 12 files representing the last twelve previous months. In order to clean it efficiently we first need to merge them into one single dataframe.</p>
<p>I have started by looping through the list stored in the “table” value and binding each dataset to an empty one I’ll name <strong>df_stp0_raw</strong>.</p>
<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a><span class="fu">setwd</span>(<span class="st">"C:/Users/Nidal/Documents/case_study_1/r_project/xlsx_files"</span>)</span>
<span id="cb2-2"><a href="#cb2-2" aria-hidden="true" tabindex="-1"></a>lst_tables <span class="ot">=</span> <span class="fu">list.files</span>()</span>
<span id="cb2-3"><a href="#cb2-3" aria-hidden="true" tabindex="-1"></a>df_stp0_raw <span class="ot">=</span> <span class="fu">data.frame</span>()</span>
<span id="cb2-4"><a href="#cb2-4" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-5"><a href="#cb2-5" aria-hidden="true" tabindex="-1"></a><span class="cf">for</span>(table <span class="cf">in</span> lst_tables){</span>
<span id="cb2-6"><a href="#cb2-6" aria-hidden="true" tabindex="-1"></a> dummy_data <span class="ot"><-</span> <span class="fu">read_excel</span>(table)</span>
<span id="cb2-7"><a href="#cb2-7" aria-hidden="true" tabindex="-1"></a> df_stp0_raw <span class="ot"><-</span> <span class="fu">rbind</span>(df_stp0_raw, dummy_data)</span>
<span id="cb2-8"><a href="#cb2-8" aria-hidden="true" tabindex="-1"></a>}</span>
<span id="cb2-9"><a href="#cb2-9" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-10"><a href="#cb2-10" aria-hidden="true" tabindex="-1"></a><span class="fu">remove</span>(dummy_data, lst_tables, table) <span class="co"># Cleaning some values created for the task</span></span></code></pre></div>
</div>
<div id="showing-the-error-encountered" class="section level2">
<h2>Showing the error encountered</h2>
<p>Before resuming, I would like to point to the fact that the total of observations were compared and both results were the same. The total of rows/observations were 3489748 each.</p>
<p><em>NOTE: The chunk of code above has prompted several lines of the same error:</em></p>
<pre><code>## Warning: Warning in read_fun(path = enc2native(normalizePath(path)), sheet_i =
## sheet, : NA inserted for impossible 1900-02-29 datetime</code></pre>
</div>
<div id="taking-a-peek" class="section level2">
<h2>Taking a peek</h2>
<p>The time difference of the ride_length calculated in Excel <em>(as asked for in the case study)</em> has and could create possible errors in the data.</p>
<p>Getting a small glimpse of the generated data to check that.</p>
<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a><span class="fu">glimpse</span>(df_stp0_raw)</span></code></pre></div>
<pre><code>## Rows: 3,489,748
## Columns: 15
## $ ride_id <chr> "A847FADBBC638E45", "5405B80E996FF60D", "5DD24A79A4~
## $ rideable_type <chr> "docked_bike", "docked_bike", "docked_bike", "docke~
## $ started_at <dttm> 2020-04-26 17:45:14, 2020-04-17 17:08:54, 2020-04-~
## $ ended_at <dttm> 2020-04-26 18:12:03, 2020-04-17 17:17:03, 2020-04-~
## $ start_station_name <chr> "Eckhart Park", "Drake Ave & Fullerton Ave", "McClu~
## $ start_station_id <chr> "86", "503", "142", "216", "125", "173", "35", "434~
## $ end_station_name <chr> "Lincoln Ave & Diversey Pkwy", "Kosciuszko Park", "~
## $ end_station_id <chr> "152", "499", "255", "657", "323", "35", "635", "38~
## $ start_lat <dbl> 41.8964, 41.9244, 41.8945, 41.9030, 41.8902, 41.896~
## $ start_lng <dbl> -87.6610, -87.7154, -87.6179, -87.6975, -87.6262, -~
## $ end_lat <dbl> 41.9322, 41.9306, 41.8679, 41.8992, 41.9695, 41.892~
## $ end_lng <dbl> -87.6586, -87.7238, -87.6230, -87.6722, -87.6547, -~
## $ member_casual <chr> "member", "member", "member", "member", "casual", "~
## $ ride_length <dttm> 1899-12-31 00:26:49, 1899-12-31 00:08:09, 1899-12-~
## $ day_of_week <dbl> 1, 6, 4, 3, 7, 5, 5, 3, 4, 7, 7, 7, 6, 7, 2, 7, 1, ~</code></pre>
</div>
<div id="calculating-the-ride_length" class="section level2">
<h2>Calculating the ride_length</h2>
<p>Some noticed errors are those in the list that follows:</p>
<ul>
<li>the ride_length is recognized as “dttm” which stands for “Date and time” instead of “time” only ;</li>
<li>after importing the data created in Excel, the ride_length calculation behave like an absolute value, for example:
<ul>
<li><em>“started_in: 2020-10-02 13:12:09”</em> and <em>“ended_at: 2020-10-02 13:08:46”</em> results with a ride_length of <em>“23:56:37”</em> ;</li>
</ul></li>
<li>fields filled with “NA”, even if the started_in and ended_in fields were correct.</li>
</ul>
<p>To avoid any future error related to this, I’m going to operate the same calculation with R and check the result, this will entirely recalculate the ride_length.</p>
<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb6-1"><a href="#cb6-1" aria-hidden="true" tabindex="-1"></a>df_stp0_raw<span class="sc">$</span>ride_length <span class="ot"><-</span> <span class="fu">as_hms</span>(df_stp0_raw<span class="sc">$</span>ended_at <span class="sc">-</span> df_stp0_raw<span class="sc">$</span>started_at)</span>
<span id="cb6-2"><a href="#cb6-2" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-3"><a href="#cb6-3" aria-hidden="true" tabindex="-1"></a><span class="fu">glimpse</span>(df_stp0_raw<span class="sc">$</span>ride_length) <span class="co"># The result should only show the time difference now</span></span></code></pre></div>
<pre><code>## 'hms' num [1:3489748] 00:26:49 00:08:09 00:14:23 00:12:12 ...
## - attr(*, "units")= chr "secs"</code></pre>
<p><em>NOTE:</em> The chunck of code above was dependently checked in a new column before directly editing the ride_length.</p>
</div>
<div id="filtering-the-data" class="section level2">
<h2>Filtering the data</h2>
<p>Another incomprehensible inconsistency noticed is the bikes returned before being used.</p>
<p>In order to work on a cleaner version, I decided to split the ride_length into two dataframes:</p>
<ol style="list-style-type: decimal">
<li><strong>df_stp1_grteqal</strong>: Which is the data frame I will continue to work on.</li>
<li><strong>df_stp1_lesser</strong>: Which will be stored for further investigations.</li>
</ol>
<div class="sourceCode" id="cb8"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb8-1"><a href="#cb8-1" aria-hidden="true" tabindex="-1"></a>df_stp1_grteqal <span class="ot"><-</span> <span class="fu">subset</span>(df_stp0_raw, ride_length <span class="sc">>=</span> <span class="dv">0</span>)</span>
<span id="cb8-2"><a href="#cb8-2" aria-hidden="true" tabindex="-1"></a>df_stp1_lesser <span class="ot"><-</span> <span class="fu">subset</span>(df_stp0_raw, ride_length <span class="sc"><</span> <span class="dv">0</span>)</span></code></pre></div>
</div>
<div id="getting-rid-of-missing-values" class="section level2">
<h2>Getting rid of missing values</h2>
<p>To prevent any errors in visualizations, observations that contains <strong>NA</strong> <em>(which is not available data)</em> will be removed from <strong>df_stp1_grteqal</strong> and the result will be put in a new dataframe I’ll name <strong>df_stp2_prefinal</strong>.</p>
<div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb9-1"><a href="#cb9-1" aria-hidden="true" tabindex="-1"></a>df_stp2_prefinal <span class="ot"><-</span> <span class="fu">na.omit</span>(df_stp1_grteqal)</span></code></pre></div>
</div>
<div id="calculating-the-distance-travelled" class="section level2">
<h2>Calculating the distance travelled</h2>
<p>In this step, the distance traveled will be calculated using latitude and longitude start and end points. According to the documentation of <strong>geosphere</strong>, the default result is in <strong>meters</strong>.</p>
<p>The for loop needed very long computations. Thereby, to be able to keep working on the project I ran the following chunk of code on another computer and exported it as a <strong>csv</strong> file.</p>
<p><strong>Keep in mind:</strong> The column “distance” is in meters.</p>
<div class="sourceCode" id="cb10"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb10-1"><a href="#cb10-1" aria-hidden="true" tabindex="-1"></a><span class="co">#</span></span>
<span id="cb10-2"><a href="#cb10-2" aria-hidden="true" tabindex="-1"></a><span class="co"># DONE ON ANOTHER COMPUTER #</span></span>
<span id="cb10-3"><a href="#cb10-3" aria-hidden="true" tabindex="-1"></a><span class="co">#</span></span>
<span id="cb10-4"><a href="#cb10-4" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb10-5"><a href="#cb10-5" aria-hidden="true" tabindex="-1"></a><span class="co"># df_stp2_prefinal['distance'] <- NA # Creating an empty column</span></span>
<span id="cb10-6"><a href="#cb10-6" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb10-7"><a href="#cb10-7" aria-hidden="true" tabindex="-1"></a><span class="co"># for (i in 1:nrow(df_stp2_prefinal)) {</span></span>
<span id="cb10-8"><a href="#cb10-8" aria-hidden="true" tabindex="-1"></a><span class="co"># a <- df_stp2_prefinal$start_lng[i]</span></span>
<span id="cb10-9"><a href="#cb10-9" aria-hidden="true" tabindex="-1"></a><span class="co"># b <- df_stp2_prefinal$start_lat[i]</span></span>
<span id="cb10-10"><a href="#cb10-10" aria-hidden="true" tabindex="-1"></a><span class="co"># c <- df_stp2_prefinal$end_lng[i]</span></span>
<span id="cb10-11"><a href="#cb10-11" aria-hidden="true" tabindex="-1"></a><span class="co"># d <- df_stp2_prefinal$end_lat[i]</span></span>
<span id="cb10-12"><a href="#cb10-12" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb10-13"><a href="#cb10-13" aria-hidden="true" tabindex="-1"></a><span class="co"># df_stp2_prefinal$distance[i] <- distm(c(a, b),c(c, d), fun = distHaversine)</span></span>
<span id="cb10-14"><a href="#cb10-14" aria-hidden="true" tabindex="-1"></a><span class="co"># }</span></span>
<span id="cb10-15"><a href="#cb10-15" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb10-16"><a href="#cb10-16" aria-hidden="true" tabindex="-1"></a><span class="co"># remove(a,b,c,d,i)</span></span>
<span id="cb10-17"><a href="#cb10-17" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb10-18"><a href="#cb10-18" aria-hidden="true" tabindex="-1"></a><span class="co"># write.csv(df_stp2_prefinal,'C:/Users/Exia/Documents/case_study_1/r_project/df_stp2_prefinal2.csv')</span></span></code></pre></div>
</div>
<div id="importing-the-result" class="section level2">
<h2>Importing the result</h2>
<p>Importing the csv file and storing it in a new dataframe.</p>
<div class="sourceCode" id="cb11"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb11-1"><a href="#cb11-1" aria-hidden="true" tabindex="-1"></a>df_stp2_prefinal2_imprt <span class="ot"><-</span> <span class="fu">read.csv</span>(<span class="st">"C:/Users/Nidal/Documents/case_study_1/r_project/external_data/df_stp2_prefinal2.csv"</span>)</span>
<span id="cb11-2"><a href="#cb11-2" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb11-3"><a href="#cb11-3" aria-hidden="true" tabindex="-1"></a>df_stp2_prefinal2_imprt<span class="sc">$</span>X <span class="ot"><-</span> <span class="cn">NULL</span> <span class="co"># This removes the X column with rows numbers</span></span></code></pre></div>
</div>
<div id="comparing-observations-and-variables" class="section level2">
<h2>Comparing observations and variables</h2>
<p>Checking the difference of observations and variables.</p>
<div class="sourceCode" id="cb12"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb12-1"><a href="#cb12-1" aria-hidden="true" tabindex="-1"></a>tab_diff <span class="ot"><-</span> <span class="fu">matrix</span>(<span class="fu">c</span>(<span class="fu">nrow</span>(df_stp2_prefinal), </span>
<span id="cb12-2"><a href="#cb12-2" aria-hidden="true" tabindex="-1"></a> <span class="fu">ncol</span>(df_stp2_prefinal), </span>
<span id="cb12-3"><a href="#cb12-3" aria-hidden="true" tabindex="-1"></a> <span class="fu">nrow</span>(df_stp2_prefinal2_imprt), </span>
<span id="cb12-4"><a href="#cb12-4" aria-hidden="true" tabindex="-1"></a> <span class="fu">ncol</span>(df_stp2_prefinal2_imprt)), </span>
<span id="cb12-5"><a href="#cb12-5" aria-hidden="true" tabindex="-1"></a> <span class="at">ncol=</span><span class="dv">2</span>, <span class="at">byrow=</span><span class="cn">TRUE</span>)</span>
<span id="cb12-6"><a href="#cb12-6" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb12-7"><a href="#cb12-7" aria-hidden="true" tabindex="-1"></a><span class="fu">colnames</span>(tab_diff) <span class="ot"><-</span> <span class="fu">c</span>(<span class="st">'Observations'</span>,<span class="st">'Variables'</span>)</span>
<span id="cb12-8"><a href="#cb12-8" aria-hidden="true" tabindex="-1"></a><span class="fu">rownames</span>(tab_diff) <span class="ot"><-</span> <span class="fu">c</span>(<span class="st">'df_stp2_prefinal'</span>,<span class="st">'df_stp2_prefinal2_imprt'</span>)</span>
<span id="cb12-9"><a href="#cb12-9" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb12-10"><a href="#cb12-10" aria-hidden="true" tabindex="-1"></a>tab_diff</span></code></pre></div>
<pre><code>## Observations Variables
## df_stp2_prefinal 3284237 15
## df_stp2_prefinal2_imprt 3284237 16</code></pre>
<div class="sourceCode" id="cb14"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb14-1"><a href="#cb14-1" aria-hidden="true" tabindex="-1"></a><span class="fu">remove</span>(tab_diff) <span class="co"># removing the tab created to show the difference</span></span></code></pre></div>
</div>
<div id="converting-values-type" class="section level2">
<h2>Converting values type</h2>
<p>The file imported had some issues with data type, I was forced to convert them to the correct ones.</p>
<p>The data manipulation done is as follows:</p>
<ol style="list-style-type: decimal">
<li>The values <em>started_at</em> and <em>ended_at</em> were converted from <strong>char</strong> to <strong>POSIXct</strong>.</li>
<li>I had to redo the <em>ride_length</em> subtraction done before.</li>
</ol>
<div class="sourceCode" id="cb15"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb15-1"><a href="#cb15-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Converting two values from char to POSIXct</span></span>
<span id="cb15-2"><a href="#cb15-2" aria-hidden="true" tabindex="-1"></a>df_stp2_prefinal2_imprt<span class="sc">$</span>started_at <span class="ot"><-</span> <span class="fu">as.POSIXct</span>(df_stp2_prefinal2_imprt<span class="sc">$</span>started_at, <span class="at">tz =</span> <span class="st">"UTC"</span>)</span>
<span id="cb15-3"><a href="#cb15-3" aria-hidden="true" tabindex="-1"></a>df_stp2_prefinal2_imprt<span class="sc">$</span>ended_at <span class="ot"><-</span> <span class="fu">as.POSIXct</span>(df_stp2_prefinal2_imprt<span class="sc">$</span>ended_at, <span class="at">tz =</span> <span class="st">"UTC"</span>)</span>
<span id="cb15-4"><a href="#cb15-4" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb15-5"><a href="#cb15-5" aria-hidden="true" tabindex="-1"></a><span class="co"># Already done above, but in order to make things like before. I preferred to rerun it.</span></span>
<span id="cb15-6"><a href="#cb15-6" aria-hidden="true" tabindex="-1"></a>df_stp2_prefinal2_imprt<span class="sc">$</span>ride_length <span class="ot"><-</span> <span class="fu">as_hms</span>(df_stp2_prefinal2_imprt<span class="sc">$</span>ended_at <span class="sc">-</span> df_stp2_prefinal2_imprt<span class="sc">$</span>started_at)</span>
<span id="cb15-7"><a href="#cb15-7" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb15-8"><a href="#cb15-8" aria-hidden="true" tabindex="-1"></a><span class="co"># Getting a glimpse on the structure of the dataframe</span></span>
<span id="cb15-9"><a href="#cb15-9" aria-hidden="true" tabindex="-1"></a><span class="fu">str</span>(df_stp2_prefinal2_imprt)</span></code></pre></div>
<pre><code>## 'data.frame': 3284237 obs. of 16 variables:
## $ ride_id : chr "A847FADBBC638E45" "5405B80E996FF60D" "5DD24A79A4E006F4" "2A59BBDF5CDBA725" ...
## $ rideable_type : chr "docked_bike" "docked_bike" "docked_bike" "docked_bike" ...
## $ started_at : POSIXct, format: "2020-04-26 17:45:14" "2020-04-17 17:08:54" ...
## $ ended_at : POSIXct, format: "2020-04-26 18:12:03" "2020-04-17 17:17:03" ...
## $ start_station_name: chr "Eckhart Park" "Drake Ave & Fullerton Ave" "McClurg Ct & Erie St" "California Ave & Division St" ...
## $ start_station_id : chr "86" "503" "142" "216" ...
## $ end_station_name : chr "Lincoln Ave & Diversey Pkwy" "Kosciuszko Park" "Indiana Ave & Roosevelt Rd" "Wood St & Augusta Blvd" ...
## $ end_station_id : chr "152" "499" "255" "657" ...
## $ start_lat : num 41.9 41.9 41.9 41.9 41.9 ...
## $ start_lng : num -87.7 -87.7 -87.6 -87.7 -87.6 ...
## $ end_lat : num 41.9 41.9 41.9 41.9 42 ...
## $ end_lng : num -87.7 -87.7 -87.6 -87.7 -87.7 ...
## $ member_casual : chr "member" "member" "member" "member" ...
## $ ride_length : 'hms' num 00:26:49 00:08:09 00:14:23 00:12:12 ...
## ..- attr(*, "units")= chr "secs"
## $ day_of_week : int 1 6 4 3 7 5 5 3 4 7 ...
## $ distance : num 3990 980 2991 2138 9138 ...</code></pre>
<p><em>Note: Values with “dbl” class were automatically converted to “num”. No data manipulation is needed since double() is the same as numeric() in R.</em></p>
</div>
<div id="last-but-not-least-missing-values" class="section level2">
<h2>Last but not least: Missing values</h2>
<p>Finally, we clean any not available (NA) fields to start creating visualizations based on the <strong>df_final</strong> dataframe.</p>
<div class="sourceCode" id="cb17"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb17-1"><a href="#cb17-1" aria-hidden="true" tabindex="-1"></a>df_final <span class="ot"><-</span> <span class="fu">na.omit</span>(df_stp2_prefinal2_imprt)</span></code></pre></div>
</div>
<div id="prepare-lists-for-figure-4-riverload-package" class="section level2">
<h2>Prepare lists for figure 4 (RiverLoad package)</h2>
<p>Splitting the <strong>df_final</strong> into two dataframes:</p>
<ul>
<li>df_final_members</li>
<li>df_final_casuals</li>
</ul>
<div class="sourceCode" id="cb18"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb18-1"><a href="#cb18-1" aria-hidden="true" tabindex="-1"></a>df_final_members <span class="ot"><-</span> <span class="fu">subset</span>(df_final, member_casual <span class="sc">==</span> <span class="st">"member"</span>)</span>
<span id="cb18-2"><a href="#cb18-2" aria-hidden="true" tabindex="-1"></a>df_final_casuals <span class="ot"><-</span> <span class="fu">subset</span>(df_final, member_casual <span class="sc">==</span> <span class="st">"casual"</span>)</span></code></pre></div>
<p>To be able to use RiverLoad, the data needed should be extracted and put in separate dataframe.</p>
<p>Since the distance calculated before is in meters, it will need to be converted to kilometers. Simply subtracting the result by 1000 is the quickest method.</p>
<div class="sourceCode" id="cb19"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb19-1"><a href="#cb19-1" aria-hidden="true" tabindex="-1"></a>fig4_members <span class="ot"><-</span> <span class="fu">data.frame</span>(df_final_members<span class="sc">$</span>started_at,</span>
<span id="cb19-2"><a href="#cb19-2" aria-hidden="true" tabindex="-1"></a> (df_final_members<span class="sc">$</span>distance <span class="sc">/</span> <span class="dv">1000</span>))</span>
<span id="cb19-3"><a href="#cb19-3" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb19-4"><a href="#cb19-4" aria-hidden="true" tabindex="-1"></a>fig4_casuals <span class="ot"><-</span> <span class="fu">data.frame</span>(df_final_casuals<span class="sc">$</span>started_at,</span>
<span id="cb19-5"><a href="#cb19-5" aria-hidden="true" tabindex="-1"></a> (df_final_casuals<span class="sc">$</span>distance <span class="sc">/</span> <span class="dv">1000</span>))</span>
<span id="cb19-6"><a href="#cb19-6" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb19-7"><a href="#cb19-7" aria-hidden="true" tabindex="-1"></a><span class="co"># Renaming the column as asked in the documentation</span></span>
<span id="cb19-8"><a href="#cb19-8" aria-hidden="true" tabindex="-1"></a><span class="fu">names</span>(fig4_members) <span class="ot"><-</span> <span class="fu">c</span>(<span class="st">'datetime'</span>, <span class="st">'flow'</span>)</span>
<span id="cb19-9"><a href="#cb19-9" aria-hidden="true" tabindex="-1"></a><span class="fu">names</span>(fig4_casuals) <span class="ot"><-</span> <span class="fu">c</span>(<span class="st">'datetime'</span>, <span class="st">'flow'</span>)</span>
<span id="cb19-10"><a href="#cb19-10" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb19-11"><a href="#cb19-11" aria-hidden="true" tabindex="-1"></a><span class="co"># Using RiverLoad to calculate the mean of every month in the flow of records</span></span>
<span id="cb19-12"><a href="#cb19-12" aria-hidden="true" tabindex="-1"></a>mn_members <span class="ot"><-</span> <span class="fu">monthly.year.mean</span>(fig4_members)</span>
<span id="cb19-13"><a href="#cb19-13" aria-hidden="true" tabindex="-1"></a>mn_casuals <span class="ot"><-</span> <span class="fu">monthly.year.mean</span>(fig4_casuals)</span>
<span id="cb19-14"><a href="#cb19-14" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb19-15"><a href="#cb19-15" aria-hidden="true" tabindex="-1"></a><span class="co"># Creating member_casual</span></span>
<span id="cb19-16"><a href="#cb19-16" aria-hidden="true" tabindex="-1"></a>mn_members<span class="sc">$</span>member_casual <span class="ot"><-</span> <span class="st">"member"</span></span>
<span id="cb19-17"><a href="#cb19-17" aria-hidden="true" tabindex="-1"></a>mn_casuals<span class="sc">$</span>member_casual <span class="ot"><-</span> <span class="st">"casual"</span></span>
<span id="cb19-18"><a href="#cb19-18" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb19-19"><a href="#cb19-19" aria-hidden="true" tabindex="-1"></a><span class="co"># Binding the dataframes created, and renaming columns</span></span>
<span id="cb19-20"><a href="#cb19-20" aria-hidden="true" tabindex="-1"></a>fig4_dist_month <span class="ot"><-</span> <span class="fu">rbind</span>(mn_members, mn_casuals)</span>
<span id="cb19-21"><a href="#cb19-21" aria-hidden="true" tabindex="-1"></a><span class="fu">names</span>(fig4_dist_month) <span class="ot"><-</span> <span class="fu">c</span>(<span class="st">'month'</span>, <span class="st">'distance_mean'</span>, <span class="st">'member_casual'</span>)</span>
<span id="cb19-22"><a href="#cb19-22" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb19-23"><a href="#cb19-23" aria-hidden="true" tabindex="-1"></a><span class="co"># Cleaning</span></span>
<span id="cb19-24"><a href="#cb19-24" aria-hidden="true" tabindex="-1"></a><span class="fu">remove</span>(fig4_casuals, fig4_members, mn_casuals, mn_members)</span></code></pre></div>
<hr />
</div>
</div>
<div id="analyze-the-data" class="section level1">
<h1>Analyze the data</h1>
<p>The final data frame represents <strong>94%</strong> of the raw data. Which results of around <strong>6%</strong> of dirty data cleaned and/or isolated.</p>
<div id="table-1-meanmaxmin" class="section level2">
<h2>Table 1: Mean/Max/Min</h2>
<p>As asked for in the case study, the mean, maximum and minimum values of the members and casuals using Cystistic bikes.</p>
<table>
<thead>
<tr class="header">
<th align="left"></th>
<th align="right">Mean</th>
<th align="right">Maximum</th>
<th align="right">Minimum</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td align="left">Members</td>
<td align="right">00:15:55</td>
<td align="right">978:40:02</td>
<td align="right">00:00:00</td>
</tr>
<tr class="even">
<td align="left">Casuals</td>
<td align="right">00:45:27</td>
<td align="right">928:03:53</td>
<td align="right">00:00:00</td>
</tr>
</tbody>
</table>
</div>
<div id="table-2-sum-of-use-per-day-of-week" class="section level2">
<h2>Table 2: Sum of use per day of week</h2>
<p>The sum of use of each type of users by day during the last twelve months.</p>
<div class="sourceCode" id="cb20"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb20-1"><a href="#cb20-1" aria-hidden="true" tabindex="-1"></a><span class="co"># For aesthetic purposes and HTML compatibility output, I created two functions to use in the pipe tables below.</span></span>
<span id="cb20-2"><a href="#cb20-2" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb20-3"><a href="#cb20-3" aria-hidden="true" tabindex="-1"></a>sumd_m <span class="ot"><-</span> <span class="cf">function</span>(day) {</span>
<span id="cb20-4"><a href="#cb20-4" aria-hidden="true" tabindex="-1"></a> res <span class="ot"><-</span> <span class="fu">sum</span>(df_final_members<span class="sc">$</span>day_of_week <span class="sc">==</span> day)</span>
<span id="cb20-5"><a href="#cb20-5" aria-hidden="true" tabindex="-1"></a> <span class="fu">return</span>(res)</span>
<span id="cb20-6"><a href="#cb20-6" aria-hidden="true" tabindex="-1"></a>}</span>
<span id="cb20-7"><a href="#cb20-7" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb20-8"><a href="#cb20-8" aria-hidden="true" tabindex="-1"></a>sumd_c <span class="ot"><-</span> <span class="cf">function</span>(day) {</span>
<span id="cb20-9"><a href="#cb20-9" aria-hidden="true" tabindex="-1"></a> res <span class="ot"><-</span> <span class="fu">sum</span>(df_final_casuals<span class="sc">$</span>day_of_week <span class="sc">==</span> day)</span>
<span id="cb20-10"><a href="#cb20-10" aria-hidden="true" tabindex="-1"></a> <span class="fu">return</span>(res)</span>
<span id="cb20-11"><a href="#cb20-11" aria-hidden="true" tabindex="-1"></a>}</span></code></pre></div>
<table>
<thead>
<tr class="header">
<th align="left"></th>
<th align="right">Members</th>
<th align="right">Casuals</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td align="left"><em>Sunday</em></td>
<td align="right">250465</td>
<td align="right">249761</td>
</tr>
<tr class="even">
<td align="left"><em>Monday</em></td>
<td align="right">251905</td>
<td align="right">142042</td>
</tr>
<tr class="odd">
<td align="left"><em>Tuesday</em></td>
<td align="right">268223</td>
<td align="right">136218</td>
</tr>
<tr class="even">
<td align="left"><em>Wednesday</em></td>
<td align="right">288390</td>
<td align="right">148352</td>
</tr>
<tr class="odd">
<td align="left"><em>Thursday</em></td>
<td align="right">283731</td>
<td align="right">156177</td>
</tr>
<tr class="even">
<td align="left"><em>Friday</em></td>
<td align="right">288897</td>
<td align="right">196451</td>
</tr>
<tr class="odd">
<td align="left"><em>Saturday</em></td>
<td align="right">304608</td>
<td align="right">319017</td>
</tr>
</tbody>
</table>
</div>
</div>
<div id="share" class="section level1">
<h1>Share</h1>
<div id="figure-1-amount-of-use-of-cyclistic-bikes" class="section level2">
<h2>Figure 1: Amount of use of Cyclistic bikes</h2>
<div class="sourceCode" id="cb21"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb21-1"><a href="#cb21-1" aria-hidden="true" tabindex="-1"></a><span class="fu">ggplot</span>(df_final, <span class="fu">aes</span>(<span class="at">x =</span> day_of_week, <span class="at">fill =</span> member_casual)) <span class="sc">+</span></span>
<span id="cb21-2"><a href="#cb21-2" aria-hidden="true" tabindex="-1"></a> <span class="fu">geom_bar</span>() <span class="sc">+</span></span>
<span id="cb21-3"><a href="#cb21-3" aria-hidden="true" tabindex="-1"></a> <span class="fu">facet_wrap</span>(<span class="sc">~</span>member_casual) <span class="sc">+</span></span>
<span id="cb21-4"><a href="#cb21-4" aria-hidden="true" tabindex="-1"></a> <span class="fu">ggtitle</span>(<span class="st">"Difference of amount of use for each type of user"</span>) <span class="sc">+</span></span>
<span id="cb21-5"><a href="#cb21-5" aria-hidden="true" tabindex="-1"></a> <span class="fu">xlab</span>(<span class="st">"Days of the week"</span>) <span class="sc">+</span></span>
<span id="cb21-6"><a href="#cb21-6" aria-hidden="true" tabindex="-1"></a> <span class="fu">ylab</span>(<span class="st">"Amount of use"</span>) <span class="sc">+</span></span>
<span id="cb21-7"><a href="#cb21-7" aria-hidden="true" tabindex="-1"></a> <span class="fu">scale_x_discrete</span>(<span class="at">limits=</span><span class="fu">c</span>(<span class="st">"Sun"</span>, <span class="st">"Mon"</span>, <span class="st">"Tue"</span>, <span class="st">"Wed"</span>, <span class="st">"Thu"</span>, <span class="st">"Fri"</span>, <span class="st">"Sat"</span>)) <span class="sc">+</span></span>
<span id="cb21-8"><a href="#cb21-8" aria-hidden="true" tabindex="-1"></a> <span class="fu">theme</span>(<span class="at">legend.title =</span> <span class="fu">element_blank</span>()) <span class="sc">+</span></span>
<span id="cb21-9"><a href="#cb21-9" aria-hidden="true" tabindex="-1"></a> <span class="fu">ggtitle</span>(<span class="st">"Amount of use of rideables by type of users"</span>)</span></code></pre></div>
<p><img 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" /><!-- --></p>
</div>
<div id="figure-2-length-difference-less-details" class="section level2">
<h2>Figure 2: Length difference (less-details)</h2>
<div class="sourceCode" id="cb22"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb22-1"><a href="#cb22-1" aria-hidden="true" tabindex="-1"></a><span class="fu">ggplot</span>(<span class="at">data =</span> df_final, <span class="fu">aes</span>(<span class="at">x =</span> member_casual,</span>
<span id="cb22-2"><a href="#cb22-2" aria-hidden="true" tabindex="-1"></a> <span class="at">y =</span> ride_length,</span>
<span id="cb22-3"><a href="#cb22-3" aria-hidden="true" tabindex="-1"></a> <span class="at">color =</span> member_casual)) <span class="sc">+</span></span>
<span id="cb22-4"><a href="#cb22-4" aria-hidden="true" tabindex="-1"></a> <span class="fu">geom_point</span>() <span class="sc">+</span></span>
<span id="cb22-5"><a href="#cb22-5" aria-hidden="true" tabindex="-1"></a> <span class="fu">xlab</span>(<span class="st">"Membership"</span>) <span class="sc">+</span></span>
<span id="cb22-6"><a href="#cb22-6" aria-hidden="true" tabindex="-1"></a> <span class="fu">ylab</span>(<span class="st">"Ride length"</span>) <span class="sc">+</span></span>
<span id="cb22-7"><a href="#cb22-7" aria-hidden="true" tabindex="-1"></a> <span class="fu">ggtitle</span>(<span class="st">"Ride length difference between casuals and members (less-details)"</span>) <span class="sc">+</span></span>
<span id="cb22-8"><a href="#cb22-8" aria-hidden="true" tabindex="-1"></a> <span class="fu">theme</span>(<span class="at">legend.title =</span> <span class="fu">element_blank</span>())</span></code></pre></div>
<p><img src="data:image/png;base64,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" /><!-- --></p>
</div>
<div id="figure-3-length-difference-more-details" class="section level2">
<h2>Figure 3: Length difference (more-details)</h2>
<div class="sourceCode" id="cb23"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb23-1"><a href="#cb23-1" aria-hidden="true" tabindex="-1"></a><span class="fu">ggplot</span>(df_final, <span class="fu">aes</span>(started_at, ride_length, <span class="at">color =</span> member_casual, <span class="fu">factor</span>(p_year))) <span class="sc">+</span></span>
<span id="cb23-2"><a href="#cb23-2" aria-hidden="true" tabindex="-1"></a> <span class="fu">geom_point</span>() <span class="sc">+</span></span>
<span id="cb23-3"><a href="#cb23-3" aria-hidden="true" tabindex="-1"></a> <span class="fu">geom_smooth</span>() <span class="sc">+</span></span>
<span id="cb23-4"><a href="#cb23-4" aria-hidden="true" tabindex="-1"></a> <span class="fu">facet_wrap</span>(<span class="sc">~</span>member_casual, <span class="at">dir =</span> <span class="st">"v"</span>, <span class="at">labeller =</span> <span class="fu">labeller</span>(<span class="at">member_casual =</span> <span class="fu">c</span>(<span class="st">"member"</span> <span class="ot">=</span> <span class="st">"Members"</span>, <span class="st">"casual"</span> <span class="ot">=</span> <span class="st">"Casuals"</span>))) <span class="sc">+</span></span>
<span id="cb23-5"><a href="#cb23-5" aria-hidden="true" tabindex="-1"></a> <span class="fu">ggtitle</span>(<span class="st">"Ride length difference by type of users with more details"</span>) <span class="sc">+</span></span>
<span id="cb23-6"><a href="#cb23-6" aria-hidden="true" tabindex="-1"></a> <span class="fu">xlab</span>(<span class="st">"Months"</span>) <span class="sc">+</span></span>
<span id="cb23-7"><a href="#cb23-7" aria-hidden="true" tabindex="-1"></a> <span class="fu">ylab</span>(<span class="st">"Ride length"</span>) <span class="sc">+</span></span>
<span id="cb23-8"><a href="#cb23-8" aria-hidden="true" tabindex="-1"></a> <span class="fu">ylim</span>(<span class="dv">0</span>, <span class="dv">12000</span>) <span class="sc">+</span></span>
<span id="cb23-9"><a href="#cb23-9" aria-hidden="true" tabindex="-1"></a> <span class="fu">theme</span>(<span class="at">legend.title =</span> <span class="fu">element_blank</span>())</span></code></pre></div>
<p><img src="data:image/png;base64,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" /><!-- --></p>
</div>
<div id="figure-4-distance-travelled" class="section level2">
<h2>Figure 4: Distance travelled</h2>
<div class="sourceCode" id="cb24"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb24-1"><a href="#cb24-1" aria-hidden="true" tabindex="-1"></a><span class="fu">ggplot</span>(fig4_dist_month, <span class="fu">aes</span>(<span class="at">x =</span> <span class="fu">as_date</span>(month),</span>
<span id="cb24-2"><a href="#cb24-2" aria-hidden="true" tabindex="-1"></a> <span class="at">y =</span> distance_mean,</span>
<span id="cb24-3"><a href="#cb24-3" aria-hidden="true" tabindex="-1"></a> <span class="at">color =</span> member_casual)) <span class="sc">+</span></span>
<span id="cb24-4"><a href="#cb24-4" aria-hidden="true" tabindex="-1"></a> <span class="fu">geom_line</span>(<span class="at">size=</span><span class="dv">4</span>) <span class="sc">+</span></span>
<span id="cb24-5"><a href="#cb24-5" aria-hidden="true" tabindex="-1"></a> <span class="fu">scale_x_date</span>(<span class="at">breaks =</span> <span class="st">"1 month"</span>,</span>
<span id="cb24-6"><a href="#cb24-6" aria-hidden="true" tabindex="-1"></a> <span class="at">date_labels =</span> <span class="st">"%m-%Y"</span>) <span class="sc">+</span></span>
<span id="cb24-7"><a href="#cb24-7" aria-hidden="true" tabindex="-1"></a> <span class="fu">theme</span>(<span class="at">axis.text.x =</span> <span class="fu">element_text</span>(<span class="at">angle =</span> <span class="dv">90</span>),</span>
<span id="cb24-8"><a href="#cb24-8" aria-hidden="true" tabindex="-1"></a> <span class="at">legend.title =</span> <span class="fu">element_blank</span>()) <span class="sc">+</span></span>
<span id="cb24-9"><a href="#cb24-9" aria-hidden="true" tabindex="-1"></a> <span class="fu">labs</span>(<span class="at">subtitle=</span><span class="st">"From Apr-2020 to Mar-2021"</span>,</span>
<span id="cb24-10"><a href="#cb24-10" aria-hidden="true" tabindex="-1"></a> <span class="at">y=</span><span class="st">"Distance travelled [km]"</span>,</span>
<span id="cb24-11"><a href="#cb24-11" aria-hidden="true" tabindex="-1"></a> <span class="at">x=</span><span class="st">"Months"</span>,</span>
<span id="cb24-12"><a href="#cb24-12" aria-hidden="true" tabindex="-1"></a> <span class="at">title=</span><span class="st">"Difference of distance travelled by each type of user"</span>)</span></code></pre></div>
<p><img 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" /><!-- --></p>
</div>
</div>
<div id="act" class="section level1">
<h1>Act</h1>
<ul>
<li>Survey premium users to know the reason (if any) they’ve chosen to upgrade to the annual plan.</li>
<li>Survey casuals to know what make them hesitate and what would make them change their mind.</li>
<li>Depending on the survey’s result, maybe separate the premium plan into “Premium” and “Premium+”. Making the annual plan more affordable will maybe convince more casuals.</li>
<li>Use seasonal promotions to give a glimpse of the annual plan.</li>
<li>Develop and promote an app that help users build consistency.</li>
</ul>
<div id="comments-on-the-data" class="section level2">
<h2>Comments on the Data</h2>
<ul>
<li>Negative values when subtracting ended_at with started_end.</li>
<li>Distance between lat/long start and end point resulting with a 0, while the ride length is positive.</li>
<li>Station IDs are integers or strings, this can lead to errors or additional work if the data is needed someday.</li>
<li>The figure 3 shows an empty gap for both casuals and members. I got the error message “Removed 18627 rows containing non-finite values (stat_smooth).” I let this to whoever created the data.</li>
</ul>
</div>
</div>
<div id="see-also" class="section level1">
<h1>See also</h1>
<p>Additional information about this case study.</p>
<div id="more-clarity" class="section level2">
<h2>More clarity</h2>
<p>As it’s written in the title of the chart:</p>
<p><a href="https://github.com/inidal/curriculum/blob/main/projects/google-data-analytics-capstone/imgs/dm_process.png" target="_blank"><img src="data:image/png;base64,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" alt="Flow chart describing data manipulation process" /></a></p>
</div>
<div id="sources" class="section level2">
<h2>Sources</h2>
<ul>
<li><a href="https://divvy-tripdata.s3.amazonaws.com/index.html" target="_blank">Divvy tripdata</a></li>
</ul>
</div>
<div id="get-in-touch" class="section level2">
<h2>Get in touch</h2>
<p>If you have any questions, please feel free to contact me.</p>
<ul>
<li><a href="https://github.com/inidal" target="_blank"><svg aria-hidden="true" role="img" viewBox="0 0 496 512" style="height:1em;width:0.97em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:f09b;overflow:visible;position:relative;"><path d="M165.9 397.4c0 2-2.3 3.6-5.2 3.6-3.3.3-5.6-1.3-5.6-3.6 0-2 2.3-3.6 5.2-3.6 3-.3 5.6 1.3 5.6 3.6zm-31.1-4.5c-.7 2 1.3 4.3 4.3 4.9 2.6 1 5.6 0 6.2-2s-1.3-4.3-4.3-5.2c-2.6-.7-5.5.3-6.2 2.3zm44.2-1.7c-2.9.7-4.9 2.6-4.6 4.9.3 2 2.9 3.3 5.9 2.6 2.9-.7 4.9-2.6 4.6-4.6-.3-1.9-3-3.2-5.9-2.9zM244.8 8C106.1 8 0 113.3 0 252c0 110.9 69.8 205.8 169.5 239.2 12.8 2.3 17.3-5.6 17.3-12.1 0-6.2-.3-40.4-.3-61.4 0 0-70 15-84.7-29.8 0 0-11.4-29.1-27.8-36.6 0 0-22.9-15.7 1.6-15.4 0 0 24.9 2 38.6 25.8 21.9 38.6 58.6 27.5 72.9 20.9 2.3-16 8.8-27.1 16-33.7-55.9-6.2-112.3-14.3-112.3-110.5 0-27.5 7.6-41.3 23.6-58.9-2.6-6.5-11.1-33.3 2.6-67.9 20.9-6.5 69 27 69 27 20-5.6 41.5-8.5 62.8-8.5s42.8 2.9 62.8 8.5c0 0 48.1-33.6 69-27 13.7 34.7 5.2 61.4 2.6 67.9 16 17.7 25.8 31.5 25.8 58.9 0 96.5-58.9 104.2-114.8 110.5 9.2 7.9 17 22.9 17 46.4 0 33.7-.3 75.4-.3 83.6 0 6.5 4.6 14.4 17.3 12.1C428.2 457.8 496 362.9 496 252 496 113.3 383.5 8 244.8 8zM97.2 352.9c-1.3 1-1 3.3.7 5.2 1.6 1.6 3.9 2.3 5.2 1 1.3-1 1-3.3-.7-5.2-1.6-1.6-3.9-2.3-5.2-1zm-10.8-8.1c-.7 1.3.3 2.9 2.3 3.9 1.6 1 3.6.7 4.3-.7.7-1.3-.3-2.9-2.3-3.9-2-.6-3.6-.3-4.3.7zm32.4 35.6c-1.6 1.3-1 4.3 1.3 6.2 2.3 2.3 5.2 2.6 6.5 1 1.3-1.3.7-4.3-1.3-6.2-2.2-2.3-5.2-2.6-6.5-1zm-11.4-14.7c-1.6 1-1.6 3.6 0 5.9 1.6 2.3 4.3 3.3 5.6 2.3 1.6-1.3 1.6-3.9 0-6.2-1.4-2.3-4-3.3-5.6-2z"></path></svg> https://github.com/inidal</a></li>
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