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PA2.html
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<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta charset="utf-8">
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<meta http-equiv="Content-Style-Type" content="text/css" />
<meta name="generator" content="pandoc" />
<meta name="author" content="Peggy Fan" />
<title>PA2</title>
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xaXpygKB5dWVlFrb5mQOydwB7i0J6ubFjh7npdh1XXdKUdEAmoj3W5Db4m4QE1LVCapO1XgH2D%2FkB08JF83SNM9ZhZf5I9%2B7Rz8J%2FI3IIfrMb5LHcjByu%2BUvGUKxQ%2FkcaLYdZ40f8JWOkw%2BA4iEBtlYSmddP1HFw%2FdKtShd1YQrncW61ZeqsIAcmYleEIEKAhx1ry8ND6aFh%2F8V9VHtiPdBPGObFcRVTzQgcz40RO7WEpW0ba3k2z3i6zBvlL9xO4ka%2F1EVnLTSa%2Buo%2BmkNzrwWDyPcz4lWOAxAp2%2BTrKORXoPGvm6d5aKpzt50u4573rAOfhP1CUXfpbjl36l4XWpysmXBCr6PbGqqsTnSRvReJFj4Xl9rvYfHFko%2FqPrb9YYEpV1CsKxTiSrXhisap%2F%2BC%2B6uu%2F8CZVz1iWlY7fGdnKxd2eM7WS2lcof2ANfjrBHRsoomvoE%2BuiF%2FpXpsCFnJYVZIVk7UsM85PYeLXYofPYf9H42YsMdtUq%2FMTd79Ho4bf2S7Gq9PVRxDC6lKG1VpVBV9cvFXGr6oVycSFZ%2FauXWquCnKooTpFvcfy0YiWVX%2BI%2FD8UOPXvp%2BE5%2Bom3JHt0IXP6MxS5U%2FAqovYd3l62%2BltAxkkq6q7T7LR3xT%2Bcz8gICtekEZU28Hq3d9JkEXhcfclufMmmZusgqh%2B5ww%2B7k3Vwcd9XbHh1JbiELt3Fu67QYbvmRs%2FCg5by%2Fr3TnRlZXhu7ijl5o6qlZ%2BrQrpkGp3PTVTZFKpwyqWabnH%2Fce5T6T%2Ba%2BNhiV5b7vOiQWG1XNvGNzngqewJWX%2BO7%2BPupIVbDas6n8HPju1ZMXmrvkcJ%2FhQ1Ya89RaqlV9P%2Bu0DacBdfrcx5rlPXMqW5%2B%2FVv8cfLHuP4t%2F6ZgDdhPFR8DGRmRoMk6R6Yc9MgU65TdN%2BKH32y1gyJruJn9x3%2BQ4%2B1zUvkZZYoyqq52HfJR1T3OUca8Ss9VrVhgoR1nngEaUXl%2BEwnEj%2B5Lg7fIsNx%2FsEWwXdT%2BI%2FD8UOO75zqXdKad2WS2XFS9L3XHH%2FH3m9r4nePnO%2F7Ys%2Fk6qErLYy0lJ6agZeeN%2FwwccYGT1QoEPwJqvCIveWiGhaw0jqw4olppFhqa8b%2FC%2BdTSMfJ8SlX%2Fp%2B918A8%2Bor5fxP%2FNTuvM3TtoeHe%2FThlVC9NKslFVNwNc6blq86mEHcyuYlSiOqOvmLPKAkLhPzbxCP6j62%2B9f0qwwjHOiiWI80kKVVktH0mD79lpNHuEPZ9yx6Q3iKpAKUiIS%2BdKK4ZmEpg0z1gZ%2FjhD12TDPydq2A6DMfTF%2FCCSlRZO0fLXPJsLM9o5%2FJ%2BS1UU8jHffrIaAVo2H93qXRX3g%2FV5fZeaqtAxwpeeqH3Trtr4z%2Boo5qyzjqus%2FuvixZ5JszVn3T9bAuDz2jM54qngC1XyGupJhFtiO%2BapVZZeFqvBG9bLT64cJ8zEW2juBk3sMRUbTMA9ggQX%2FxuNExVKRpvwrklXWFA5ZaUTl2d%2FRNOseP4pZYB18QoGHvnMyyNx5aXCbSf9x47s%2BV9Vv%2FQ2nBFacueFU%2BfxH298aemcj%2BAollosRz0QwI9ygM56qmBNbdKZpA5nYorobKAtV1yzEXc4xMjWQ2Xzu%2BE7FzK0BZnfYN3ezIOaa7cYL%2BL91Kw6%2BwooX2cJdqES1Yl3fwkumIJzZeGJX6gvVmzcdfOOV0JL6h1jjlZuVAa78e1Xd1scYiWP5mRhHlc9%2F9PFYhwhrwqz%2BfBOLKP8AaClJVcxhKRb%2FbHAgM5D5bBD67tR1UFX8XUSS8JcpqS8QN340V4kWuHQHNRnlvBhKfbH7Vr8H6fkKWPUwq6eGeuYgy1ZNqcPGOz6%2BR9SZ1V7of6CvfPi4Z0Y6zuSjamFa6bv2XhUpNzRDI2ruGXdyLNC1U%2FVs9fxHH4912DsxkOnMds9tPgd%2FPNEpvw99qvKrPL3r8FZaC3Vl26BE558ratV5h5brrxqrSjZWe2oL%2FbGSS62BPrSGWgP31eFR1ZYP7%2F23Jv5tWjqelgG%2BMe9VoU1C5X6i5fIfCh7GYRjtwIM65C%2FhnJc6S%2F9XnldPHdKgJoWtn6q6WQa0qq4yZuwG%2BY%2FxN2PGjBkzZsyYMWPGjBkzZsyYMWPGjBkzZsyYMWPGjBkzZsyYseVnpcgqGjNm7EYTNd1MEGK0kaUITo7BMiNUZj1D6RBgIRmWfxAO%2FFpHr1Vl6qOHh2WCxTJWwxWpzzycMW1rU6TJ5QMexTRpz5cqLpp7Tvw4WJlhBGp%2BBo7p79qA4m5Bmngs%2F5fXJWZFOsN86VmYRFb3agsKnuuswqLabGc2wig6q2t%2BjKX3TfZN4tc1P6Y0CV1XT7c%2Buvjor4tXpcgXo5daH5QVaUf8fJhRy0f8ShZltOdLW1lj1bW5cG1qRVxmL77HjjgmvE9R%2FzPNIBmL4pz2%2FS4zGXS56nQyJ70tVuA43%2FnhhXCDWLVTsHLHWSNKIav78VHwuOp%2FIIMipCx1YtdARq2zGvoUS986vnXcXu35aXmpqlsfXTwuQ3eviwCdg68rVx9cjSm%2F72K8qp0Ka69yLaEXBOWD7i5NogZ0pBfagNRNqJFxxsqEFfWPwLL%2B09uwHqe3jaYjJJ1eWCSe0SKcjaeJvbvxVmCVVIo0mRsZbeHSfvd3JVC1cDG3mnyFKyZVeNRZBYmKOKvFKsJysjg6o%2BzmrAAX9OBrN1HQg9KAVKq66wPik8r6uPCT1iQBH4jbAtCO9c7Gmb8KgVM%2BfqdTH%2Fyu9bWEasxz4a06Nd5xLnewJl9aLgT0WD2Vqon8Ot6IYncG62CUwRrSIF%2FgCGtkgnsnosow2zrYZMcO3HPU%2FiPwqxhxq40cvmkhMjI00%2FaV%2FG5xiVySOYQtkapLVRdU5HNTVb3sG3VWD28VlUA7vFWus3rbPl76oT28l06y2%2FaVj6ru%2BnC8vD4Cb%2FWFUMG%2FT4XH2hcKkKBASfsT6vpA4Buj1ydHk5BqNakbb68qVa4%2BFe7kXqsqkWWbd4sS5D7Nq8qnh9fhq6ASUbCGlDUMzYSvyueGPCTnI541tkrS2bvxqGrS9jZl7inw218N%2Fe75%2B2RdsdMygrCWQjrAh6pe8igqsjo4SsrB0VkV1VPprIau8tLvS92Xk%2BgMXVU0X8ZyaqQIe9z14TWS14fjYceRL%2B1585dWnQL%2FP5PsR790%2F%2BRHvwQRrA%2FU9YliQHhQVZ%2FkNwJPM6d8qumNqgkP%2F0mw8lE1zh7dUfyzR3fECSoZKDuzd6IZZrcwKtdQ8FVVjzwQWaTGlIj%2F8bZ2hrK8%2FmKhznTC9jV7MiHrLH2pir3s0qaWj5Q6KQe3zmoyT2uZzqoVE5InEAzWijBJLnFcKMQlb2pRH8sWpuLEltWH42E86rbr1I2LlGV43EFndIv7J6NbZDvXuNsHHvmrqvpgcshjZLvsG56mlmoIoIpQuUZV3SSUF1VlSr1JNtlU%2FLPJJlp9qqruehS%2F3vUolXr3DHZmdah6zyC%2Fm3sGfdu%2F353R5d2ebHiTzlX1GloX7%2Bisiscu11nlsp9izM7nFX8lu4aOEJeoD253wLdAkNfHqb%2B4Uzne1nzFunMl2j7LFl%2F1byOn%2FJ452FykRVV%2B%2FwUv3dqB93QSKHKdW71RtRSqWnUDmQP7T287sJ%2FL6B3bIU1yVbtd284wVNPqYwVwRMWR1T8ALqz12mMbzupQde2xzeesGEaAsoCZ%2B7I7D5y8HqqKTF%2B5qaqrs4r5U97TYn24Ui%2BMSl%2FL5w4rGd%2FUaKUyJBf1YbWjaZALrVXVx6m%2FuFM5Pr%2BN0IR9NxOqNnLKB6m1enX53u354H7lm700rf1vxKgKMUqcrYAU0Qq1jF6xzJjjwH6jGB6jaR4AQ964gTXA%2FzUUPFDv2r6dcu8vxEe%2BHv9Z62vgq7WUlzWibUsKgIsTMuWnqp7OqjUswt%2FeP%2FExJx8CD9Nqw5NRlPrAcBdU67668PbGCiq8837RST9I1ded8qspOrT6urVcqfn5%2B%2Bj4So%2BqOjPn0bQXVUcVbylY8MQuzMOLvLHqKgJ%2Faotc974YP33f44mOxUd%2BQXtZI8ZXERIvM6rq6ay2vyHKvOOP%2BD3f70P2ZwTFdQkq1P71dV%2F18N6uK6tRZeuDNcJ3rzr4ys9V6Ybqy0upij9VnFeLGzFqXMfGUzUvHTyrAXo3UF7W8PeqPBMsU6QUvxVqiFVVOPzcEKrq6Kx2LIoyh1%2FG74dfFt%2F7adrru4qu7qseXp%2BqpdYHE1IDGTUeXnak9k5sPkfXuV36Z4X%2B9Xf2vHMO%2BW4LelR1Tz2KPy8Pk9Pb%2FXrGsmM%2B2v4Gzp8YYrYjN9a7Y2eS5mu%2F%2Ft6bVJ1VlwJqkPepKi1UPRVd3fro43V1fa%2BjPt2o2k7QrQ3Z%2BA4dnVsNXeKUBzolL1%2BbDK7rU%2Fd6XTZELtRtroeDrMTsRDdVxowZM2bMmDFjxowZM2bMmDFjxowZM2bMmDFjxowZM2bMmDFjxowZM2bMmDFjBeb6o%2By0Pt5KEzRo61BQha4rq6dBmzsnnUdfrlhLodptTKuFmDVJLn0sd0ZGdafebSRTli2lRY0tO8OVCkMzSS0VYAfPQuvfUp3VeDG%2BiNKTVLFK3ZU7aM6KnDijC0TqWfiqSo2CGxdvO7TnwP7e2RBZwpo1jB9Nss3n5Eu3rMmwTX%2BdtTuaqr4lULqUjgBkOUvuaJT4gG7ntEQYW3qvxWdWaOgsrn8SpSdDAxm6CnAhXk3WKLNXSzKqWKU%2BVVGCxCXi9rBegxCbcDgJy73WXiOQzpbYhBUUKy5Al9TxZ%2BpD6nolyZQaBC1QcgsKloK4S79Y%2F4gKvIWCpm7TwRa3Pr271z2L1ZTe0ajwxWVTFnZSl9cVo5JMl3qq8r3WNSU5VVFTIKKhAlyMV5HVq9nKS9X2J9xomXApF8O0Ckq3lHKYaKHfDZ7unU0wykYMos4oZh1fpFI18QcvyS8vpwJH7%2BQrGPOqi%2FX%2Bo7EOtngJHDEi6L%2F%2Bs6hlU%2FD6CzWFkAqt1jpU9fZmf77wPSuKNxTJURXJp6cCXIyXk7WyVEWioaCnc%2FzgvKzvcsbf3lmuczj6G5UcJoZr7ez5%2B7b%2FraojcFPVijWdBE3gs1SqYquqRNyKW05noTVR0lxzxxrtADVQQkBb8QA4yaiRVjGqFKqipK%2BsJvamNFdzeR5bmse%2BCp930lWAvfEyslaWqrbu7DcFwcI3lIBq78TU0NTQ3olkXn5ZZrftQ6mrX4LAaDthLszH6iaGTa4KaZ0gHqcWFMJVlqq6Gha6AapXcHpzA2A%2B9y%2FWIqTUJ0%2FySZ324drbsueLHBt5BYmKm4AEFqw6G89CemT1w%2FuTtfJUjRf0n3HCo%2B%2BdPdC5iq1iBzqFgrAi%2FL26%2BW2rL74B0S0vUNwd91fBRFHzx7TNkOL%2FNcnu%2Fh83n6q6Ghb6qhf6AW3lAmD0F0j9pR0lQZ3a81a10iHJSLzUm9e%2FpRIXtfdACCJRo7YAeuPFHN6LfOvfklTWB7%2F%2BLe%2BzKk9V%2FV66%2B9KmNvy6qa37EiHI7otDd4QCa9F8aKImBUhkNY5MRVngeRKRjifZxqM3n6olvSrTPEMnQK1sAIyEG5liIXcATLtXVxooBCX40ttDEN%2FmjzQUr4MXg4Hm%2B6O5M1y7%2BhSTD4SzpPvQeOGt9Pq3vM8qjaq9s6e3UUa80qgahTzx6W2nt4UfjhK6g9DfgxxnP9%2BJzB7D%2B6ikuB8SXrEPKUSKfYZ731WOqtaYHXyNUQitm8%2FVPUMnQK18AIwZdXcATLvXglGwRa89kT%2F%2BeCvWeKUNIr7b%2Fpdn%2Fd3kUxHVC%2B9P1NKoauvk14gNLtTBZnFqW%2F3om1ngo8BHzaT9Q8Ps4eeEk20%2BB3vo%2FD0prRSwxlqvJdmdv6dQCbuMB%2FoqR9Xm3F3rB8CVyAAvlwC4OANMFwHUzQB3gbokPzh%2F%2FPFNuSlcxK%2BrEeSjELUYLyOqN1WHZmQ3Jza0EBtcEGgx7wp2AkmSGGaURUlymJjHPZB%2FvTH4d%2FbcXPJXS9YenlZaBcRIEBNL%2FJxn%2FlqJg82hnSQGbaTkeLeLydIgJQWcyw1%2F3Rlgan3UVHVUHIGB9lFKWq%2FoKkg%2BKlHdeGtMRlS%2FEMAf7955hpNV1RTFfwKhLYYpkcO0DmK%2BrmlBqNnzfHFgwb9GrQUbJ8GfH9QrCZjh5zReUbZ5C7R4i85IKZIe7iPEdF6tlT9AXV4ZYEHVUupTiqpxGahqZ55COsVyPGjMhsoZUhVuEYUC1cp61BaU31DOpsspEafyWxUrlW4L6tJN2VgB%2Fkghh6a0uX8w5o3nSQ%2F3gYmUcgacyw2v73NLz6HVpxRV41Iy8MtUCVj9ZwDGtNqzRf0TY8aMGTNmzJgxY8aMGTNmzJgxY8aMGTNmzJgxY8aMGTNmzJgxY8ZujsFqucCyqMe0eRbGjEmI2nhR%2FHG6FDdmTYPuyzRFFsxGn7Euw%2FqXMzQ8LucGaZThkjub4WXQkmmasrIxYyU5%2Bbrm7ksJ6coR7obNoDIUgX%2FNSo1DlOxuxtV32QT8D%2FgMRcKk%2BWOQRvmKgrSGoRNgjuA1djarJcu%2FXfgzuKpUq%2Fx57MRgjX6dmqhhorKyW1sW20ofqz5LDw%2F327dsPDLvLTS%2FWYrnS%2BJoZ1GwrvZM08R4nFand95Qtux%2B0ckDH00N9c6mvpCPkbgwbCAzmsaF1mHFiklUiBnIgGh3SqwTbbyorOjBqK2ZFHhJTaTVuaW4fJ2rVTd4y4ZTvbN%2BMp0C35UdP4prB1cxaw%2Bl%2FL0TQzNd2eM7Wa2VblPeAZe60pFBF%2B0fZbpYyll6%2BDgsJ4J4iTwNEms3SxV4kZ2D3sJd1vkks6V4viSOdhYF67RnmFQjd%2FuTO2%2FwH8n98sJACwjIeqFfVtDa923hbnyiHUjWte%2FLaB3l2FpnLV5UQW6rry2HDCmD4JavQB40nVsq1Dl4S%2BPFxovn1sGysmoFPsUaISwHAaxWdMs6Zfmw1A%2BXwnESbjglb2gUssrpU4QoMuhcUYfLXulhaWfp4fEa7bhGl7gzgLN2s1RVRBlWuGySUcjqhaesV6Vj3e0ZJZJV4OWqZY5xqTSf0p3Cui%2FtvlW%2BEA2lJIZf5p9RFSHC5LQ%2BvLX4EcnVdNd86SDXLMibAkc8FnTfQ%2FelwVvUeFRYbWZ87AO3PKnET9qhr01U2QJ8KHc6zNzjX1jaFQik0%2F5qN3ewtLN08bzlEyC7CkFY382mqnDZJIkaXnhaq1Kx7vakkdXB62qseJTuFObWYPAzFD0R4l6xD%2FEcf2xssSvLl2W7H1HiG9k4HGc4VguHkSv%2BOU3L7wHrL6OqwAeejwCWb%2BgxNHNunWIUmwyhHut0WNncjRfbc4r9yfzXdkXAbCtAXIySZbgcLOUst2PRruI8pyiGwmn1SFZZqnKXpVHDC08VN6Nh3e1JqZE%2BUSVk1SNqVdWGs3w7DEiv2FtiyMLB7rnOrMcjysrG4aEZHKvzAixX6XM3TlQZMQR%2B3dTpbRAmx7uyeycgXK2W45%2B%2BtwuSYu1CS0oSvm845SW3IQ%2BYhYAklapRl5uoz2o6qYcvplJYKSRTeaoW3rN%2FDOSNp%2BsQUrCFRFVnX0T7g%2Bi7psZKz1zR%2FeoStapq306uqNaWU1U7frc%2FtvdPibxomHNz%2FRdk4fXGo32TDjbOKFQNPBbN1V%2BeNMnv3BJiNfj11BbWIKNeTguq9vhOjCU4UWVqRrw3dG%2FnpO5NedvTqepgKWedW6eHL6bS0MzH99x8qrrvwT8G8sbTqUrB5uV13Eenuv3jTO%2FlnZWOF94vfz2jQ1TcoGhkymlmSLrU%2BGPHnoH55tniRzT2jCy87vjz4fWOsmCSRNWew3sneP2jykdfcC81%2BOKJQG0gK9ckalbUSKi8ijPVYQ8ihZAqxakcLOUsoftIv0rSta8PyLiFVF5ReaqibyZJw4kXnkpVGlZ3Vx%2Bn%2FcNM52VNuPh%2BA4%2Fx1zN0oqK9kxCPHLK7QanjNvTO2sFyzN13yaTKNpyNstW%2F7b8g0PKdXDBIwEwlTKoaWDXqkmOoocbnk0CgSEjDgwRai7p8Tlbcyys3V02rwx57%2FK2mqB4XY2ln6eKF4Cq8zuqkyLhVmqrcN2nDiReeGqvQsXqKiPpk9SAqzAw%2FFa9ndOTHWPWR7Tju9cydT6mwWM0I7rA67%2FRdMvzJjV3ZcF6wuCsr8sc%2BwfgTuEGU6NtW2ptF7Xvi5uELkwK0REIuyCaoHi%2FF0s7Sw%2BM1Np%2BDqUHjcnhZI9yVFvd54Sn0o2NLURR0yKrzsqbgfq0AzvC2%2F63q9YzHxSEg7Jk7tkN9HsqD7p0YyHRme%2BY2n4MkTqf8HFZzagv%2BuQF3dXCYWil6xYH9fPotlHcP7Gcrbh7eTVZqxi8fZCtVj72wlLMEyn7Nr8Tb6sUdsmmNl%2FM6X2l4mqMLd7XqaHGfg3I%2Bqemngy3NeKvrvKwput%2Fdt9p50MZSBD0hIOyW08gdBsOsOgX4DopKL2zMFMpJa4fUDsNWQLlu5d0VNxfvNDc14%2Bc4q1r12AtL0UrmKP6cVXiaevGNMXedKV7qoFyf1KOeBvZ6yKrzsqaoY4IGqKkyZszYjeh2qiuHNmbMmDFjxowZM2bMmDFjxowZM2bMmDFjxowZM2bMmDFjxowZM2bMmLEym65O7%2FcNb59Dlp1cnvWvuA8FoEYxnda02A2oVVr3SlbMmlyuNM3p9MYZTaf3%2B4YXZ3EZMXp7JrOdWZ36VAp%2FoyzwEUhYfkStC3XBXMGdZ%2FT3fXj%2BPr0rWbHAAuhkTt7Mrobvb5ETbA24WrRYK0al01sani9qw%2F8rU34yL2pW7vK5OPNKG7tyXq3b7%2Bges9SJXQMZSn1Kxe%2BdoOkq2488o%2B0yGtSwJqNK3aPrpWoUBU%2B19k1A4tGvBCMw4BPgpU%2FfW4n6U4nK97ewh4ZY00JeBg11evllhR6QXKfXwbudXYXvnf1kE67f%2FGQTLrClly%2BEoNR4WEUKomYndtHrT7tftKaTHYtIiiR76CUQO5VrGOd0jzfegd9tvIPFkXzy%2BgidZHthoQbeirVeo9QfhcebFqLajkWnhjUcyoum0UJyXVe3%2Bqw9qF%2B5mtHDU0G8E7uGZij4MAggIB6F2W8eVdc1xxdxfwssH%2BsfX1zXbP8CdXqdy6p1eh28%2B5Dju7K49g7Xb%2BKaPRxZaeX3zn58D6eICg8SMCusPVaM1fK19pTyhQCoSpfYqguz3S%2ByBpvejQ%2B91HpN1tBc9xh6QxTlTMP%2FscNbVfUROhd8awUqXjgitpBcV9maXA0uqO9YVGpYgTULzlNrvUYZi3VcHZQx54MgrZ6XcSeO9m2%2FEsSjL%2FEHUb%2BdlFXYlaMqq0HJvUROWteuP1%2BoGlsUI4wNy400%2Fjq9Dl4canzCFRY1nUwQykf5rYEMEnx8AKmtwsO4wkJXezZbdVFGqb%2B4A7UuMYq0JHFGyA7tObTHAodJSGcpXPeY1Q7N4J41sOofPkPDfyPHw3X2WAHcWqHpJBGfIyo8yAYZHgPfkKtzUsl2uTFUagQ%2BSri6bRgRPiqnq%2BPGI4miKK7pCsnpW0amaMRz16n1NfUc1SpqUcq8liaahugm1%2F0mUOqI47vniptMrtNbGt5RlOGqMSr81BCrhyCvmjukGp%2B0FY9YfdNJlc6wwFsFUYQ%2F3nEQqFG9Wg1I6B7z%2B%2BT33ZmV1Qfx1p5WtopFc0KSBLxD1Fo5vulKVEu2ywurogaX23R1gZ2KGXChq8u3uuoLL6lP7%2ByxHbQsLmuhEFVkiXODT0hNZx0RND0tKe8r2L%2Fo%2FZNoMsF%2FuU6vg3f3L3J8V9ZRbj23DkdJVfkBO5OYJ6oSjweEaiys1Bl28O5m8cez%2Fs8G7Zlwv2WPrKj6JBP14LrHVgxHVBxZ8XNCWh%2FET4cxcOdqOgT8mJuocvyxHY4ibqlUVVNDZ5ycGnILx3Zlp4akQezbmLEYmcKYRugSQyvVliOLW0qWuPJUZf0ndjkt1DMHCUTubajTu9R1%2FXV6Hbz7kOMTtpg%2Fzt0wu5UglG%2FL%2F%2FcJotLq4w5o1XgR8Kt1iVn10AwmkxC37qcdi7tflDU01z1mtdDAMDeH%2F2vXnFXVB%2FAwh7ddEEQ61PjmguSHHM9qsWR30C8XHiue2lCooUdVVvPkU47nPPmUXDKoHXWmu2F0tGMa1V4IelncUrLEhW1D1CvU0je0Arz%2BvCOL4wYsfPqBOr3FaRaZTq%2BDd%2Fe6KnwUXnPg3G3lfJRYPu6WktCqj1793TGBXJcYI4HB0825lAkmmKSPJad7LDLAuFWIqj6ID92OLghjMAGPNYF62COqCm%2FrZ4X2TuCj108rqalRyuyTrRCS7yCCrhCVA6IG8xHFLM7My5fFLSVLXPm00u5bU19g%2FXmKqyub%2BmL3rblfOYrrNJ3e0vAio1Wp8iuH586OYXCSfbJJrbjo6B5b800sQqqPLt5OdBHxnODHd6oFSJcE2wRqlOa8rIUH%2FKxFiQy675z6EoWeTNLNEt%2BADDBEWCipa4%2Fatae2uJQLhU5vF1Wn93uGF2dxdXoKUuged2vVp1J4JxDWdRpa4Fua8x7Z3jMnn6V63Xl5srjXkyWuPFWFjmhOW7mm6K71dHq%2Ff3gx4yBjl2P9q%2FVdRgvdr9VCqCJdAWFbSha3mKz6RNW9W2PGjBkzZsyYMWPGjBkzZsyYMWPGjBkzZsyYMWPGjBkzZsyYMWPGjBkzVgaDZXN7TCsYM1ZICw1dWVC6QQmPPvtzn72m%2F6DGlfrg%2FDNqWUZc2dpzuOL3PW0xqhwm1PqMVtkZlcJBHsm8P2tcK13GNnkOD%2B%2FvvpO%2BHbsxisPqZ3TdT0lXFzf2Ye9sfDEIq%2BytySDoqfXOxj4kXWUMnTfI2tidv1evSQi8FGU%2F3qbRAUwjleD%2FPh18x%2F%2B98wrtj9KtsQi0Dl3a0gpwsU01Ta0CVY1kSfqyoDYx7f3UoPtlHse8f1m9R%2FDw%2Fu67aO1PoG6H1DPn1a1SOl4QFddrXydZdXVxI%2Bzh53D1IwoQ4kq%2Fh5%2BLqB0y1nilmfHrbD7X%2F09qqq4F2cz1D9hjWZ2y6aaDrJ0hldqhK%2FBzWi%2F87eze1wtEkX3P4TKeoAZBHINZDW2ZlK4AiHASrmMPI8Y8J3i7z1NLeJafYOWmKldbLGV8kY824rdC%2F0gp47aka2qVyNlwmbtEvlUoMnF6eIeoOenV0skqdHFhmS8s6hEKDBIdWlu%2Frwkwzz797NOop9acFxXzf4yBhXhOKWbvxIP7w0Bx1aiHzdH%2BRlXVnb%2BXdxwYKLcXuGE7y4scE%2FAPPtJ8VIYXY3wC1HcHMqDG9xK1ZWlUXSrmIV9clVcFBBkPR3sKjw2n6F2BrF7Q2wWdBd2F38laNczU7bh0fJGPNs5vWUjIzsjr339h6b0Ov6zb%2Fv5PQL897auEuMQLbXleYWvkvxO6uPFF%2FC6%2BqNLFdfSL7nrgrgccXSPZpbmgaFd2%2FCjr7jrULJUd4zYeyfVBk%2BvfiUrnwo3vRmGcFuLeXAsI4oJ3qfhX1%2FSmZXg%2BdqE85%2Bs%2FfP2HttQmaV8WvnGGeusMz%2FCUyV0LZbJSX8Q3CKkRfCYgYxoqj2sV1oA0ZtTxyCxKIKtVl%2FjcGV%2FEaJP4XDEWQaSE7u7oGvmVv%2Fm1pfe6dVy3%2FS2JTFzPnF7n6n4S1FC5aHLDySp0cWEwr4NmVOriOg%2FfTVX5xTsWcdQ%2BtWV0i3W5TdnPWcPWQRE%2BhhiOgOGr%2FikuFCz5oDvJpu9DAtpiHXfbakUHKfjUV7DivsUfzw2FxkbTq0D%2BczSNomUUojZe5LVROW9JfTTIeDz7k9Uu1UI%2FopZC1cLfq%2BsjiJokkRXlSHjsBi54OSyVzGEhrlIIVOhwZxRkNbr%2FiaX3%2BnhCt%2F1lio6P%2FAKyLkw3A0ClKu%2BeChVBc2R1dHQDjwUeU%2BviVlVh4IsHUlV8lo9JCXgYR7YH34MkVK78w%2Bv98a2frJvCG%2BudFSNfnPlJRvdNwoz2X1j1QGb1b%2FfZwlGwSUTN%2Bn9Jsr5JP3z3JY6%2F96Uk23Icf%2BqPFwmlnrkZe5yfifTMRdTbTsS43Bt33pXzsnEYHXHpP9UD7eniRJ3YvX2tfQdvlS9g06OqQ1SxaQmdrPE8Uf1Se1x5WcfpxweK7xRGwZryURVKa2j7yvuc7a9eP1VzOtlFh%2F18HV3c1vxWA%2FIAFSlafEjdanNX9uHnAguRfOlIJ3981O5vkYL78j1kfIPfvGoggyPi%2BVTn%2Fw7aJZ9P4cgJVwj64SGgTiMex3fMMVtpf7xIKL3wU1a9%2Bdzmc6z6hZ%2FaWz3UyYiKgakY4zefs%2BeVMf8HyLO%2Bhf9UXUEgR9Tmj5vssv0zwJWlqkNUGNe7%2BWxSvd2VQ1Y5Uf0cXFYj3Jug8E4H3tOPavzLhzG1L%2B5zjmwAolKVz8kLJV5zMZOujm5V1WrGD6So%2BCy9eH3%2FhWaXtH9X9nxKdUvYGHf%2Bnq1wlO390OdTvbNtLPA8nII3Fg881gaP3%2F8KiIcEyLuv%2FxCdhdVbB8NSPCaUgKJw%2FQf3P7gf7wbJJ9vvLLDQmQWJ745czTsO7O%2FMBhbKNapiSCTkM8cjuBFRkzQDXOy44hn4X4HvpwcZ1z7IL6d5d%2BNPug2nckQNOakf7wSXF1lVRF3q4JgJzonD%2BqSiQHPK5ehd2cG%2FKydVYUx92%2FsMaIOacsxVsRXd3%2BcnN7o6urpzVXxrGylI%2BoBAp%2FThiPFo306%2BcR2eI3%2Fom8%2B1wTiM73mty63gWLLHz8WxI%2Fa2E3f92Qq0MSGV7Z2JxhdSJzfi52bIdePXkxu7sjCK%2Bb6%2F3XAWpCFXiLrDllcrTm3ZcLZco6qgmi2HaW9EJM8Ao%2BPyZ%2FrZoMuFJZ0l77zDkPhtyu1WgF2UzLGcmXLhdyqyylrefb%2F5eZsrE0y7Ck6%2B5G%2FndalqBdp9znh0h%2FSVk6KDKWxTn%2B90dXH1qNp4sfvS6W2gTgd5S8xVqgWgT25EYoNoZn3ra7w%2BzjYa3g%2BddcBmVO8l%2FpD4w8B7h%2FYUpiA88ZCuuAeS%2BtsObWoDvKRGzR9jwm1VvhvDr6vsCKH5Y9%2FyO7B3FYrtOJ6CQGRHuUZVQbX8Jo%2BpgiDJ5xrq0cs9bvBx1TVdaVC8iAj5fad6Duo6uWvivLaR3S28xMqTuwnOmmwqJ1Wbj3rjYXirV4W11A5G1mRaurh6VO2%2BBE5Sk3Mrkogjq%2Fn4HiB3A87AemdpOrewTUIHhMBx%2BL%2BedI36TdAN%2FGwjkKhe1idHmd%2BjjCpe2nTbe42c2NU9p3JF%2FbnqUpO6bp0OUfkkYWRKbMQwMiWfrlTail6KhNTdATzTfmenP9ZP82YqVdde88Y%2F%2FJw6rL1OooqelK4rm2%2B2W%2BBQvlXSc5J851GTu1InXedW8xotTClIDZ1Lv%2BSQng1tWcvVbrVcsb80fVmp61bTRL0LzmjJzfhS8Km66jtnogXVLan7JxCFM2HXoeZNqAxErWijfQcftDFjxowZM2bMmDFjxowZM2bMmDFjxowZM2bMmDFjxowZM2bMmDFjxoz9%2F2u4KsiaNO1gTOYkgWLZCarynNZV6uyy6zRcFwRkdJzX1iee%2F64%2BhRBIyIR81S6W3CtZKy%2BHR53neZrO8zLFT0NXdhn%2BH9PyuTN2Gx0sqydraWHlz8rYyAyt9KVXs7%2BJjBQLTzbfr0X0PUh2BQokTLBsuXhJvoED6LqNFxsvhph9BYoOXl3o2vjRBNN4jJlcMxzU6Azmya41r%2BcgsAakBv9R0VQdJkfnOUHUeV6O%2BLav%2Bv9p5JV9T9zzWzXescZ3caU0LHMMSkrX1kkubXlF1F7rEyWIzRaWJ1YI8UJ%2BvWSB16%2BJzg594yoW%2Fmr3rSqHCX6ZyHUDwY9U5a5rhvWhGVxmhkvQrMwqtq5ZXZvA853ZX3YnSRLZ1suo5rrhFOt%2F9umRqTbSWAaaCJdv%2F%2Bcnn2omdQbN7Mmnbv9nGAX66FQFXZ1v7QXyhNqM%2FsY5lA6rqfNcKr53VkjTlr98EMwJxT6M%2FjryNUUQRvgnSgQNv4nLHP3JnWDutsQDqSHr8kGmr5jYw%2BquIMkKxNnnZX7Ax187qszwETXn17HPiqka%2B4zguOmVi21fJv5P97%2FGGatWadrF3es8FX0iq%2BmdjbrwsGhXOdZYsTb20EsYH1DGow1HhS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2Fy8vL6%2Bvqfn5%2Ft7e339%2Ff29vbo6Ojz8%2FP6%2Bvr19fX19fWmpqbLy8v6%2Bvr4%2BPjT09Pr6%2Bv6%2Bvrr6%2Buqqqrz8%2FPt7e2ioqLPz8%2Fa2trW1taioqLr6%2Bvi4uL5%2BflVVVXNzc3%2F%2F%2F%2FW1tbj4%2BPh4eHq6ur8%2FPz%2F%2F%2F%2F29vb7%2B%2Fvz8%2FP09PTMzMz%2F%2F%2F%2F%2F%2F%2F%2F5%2Bfn19fX%2F%2F%2F%2Fy8vL9%2Ff0AAADZ2dn8%2FPz7%2B%2Fv8%2FPzp6em%2Fv7%2F7%2B%2Fvq6urp6en%2B%2Fv7%2F%2F%2F%2F4ck%2FmAAAA8nRSTlMAGgDUzwIP8SMQ759fCgUvqfDGFeIYA78fbxNTt98%2FhsV%2FBhdD4Q1rRI%2Bvwo3ATxJTD18IoKWasozTETbQ4D40IX5hC6dAMR7RXydvEsRuotKLkZCATYahkzOxQlFqmbZwJiUhFWy1wyJYcXI7gB2XIEFbgjxgiWFtfTSFMy8wSYgEqFBDTSE2KCpnSyZZUaZHRFAsDuWBYJJ7AVZQpC0Z6njBKWjdN4dlMV30iN8bV7%2BzJJeHMRiDYsR6U9yVYxdP2c1dj8CKFZZVFjtaaTxOI9cMKQk4NnBW4PKUOmiNI%2FkwWoQYUdQOSk6GvkUURFSM3n71h14AAB4tSURBVHhe7J2HfyPHmaa%2FYicCDTQCQRAkQWgABpMcDSkOw3CGM5o8Gk2QRjlZOVjBsizbcs5pndb22r7d23ybc7zbdDnnnHPO%2Bd6%2F4FjdIGu6vmp280CtbF%2B%2Fkkn%2Fnip%2BaPSDDqA%2BFOm7J3ncIoDi0NAQkY3d2IaJSws2NNZZnCouduhAsrgf7o4BYy59O4fvn3ROJQKoREkBGKqYytAJCCEQWh220I81TPFIozLaNiCMH4PJr47WIooL1C1isUUsFSwpkMqPAMARDUIFjLcYpj5tGbmqw%2BP6bhz49jZwbZ9S9k8Kd20QQLDdzFbdIz%2FJJ0OFyJFaI6mOcZ6HGOzAGxdi0tN8JL063CmJwi9FviX34m4FUrlxl0PgaBgIbrXJJfVp08yTrbq2tt99bINtCj9p%2F2TiZMMigCzYGa0WxwBgrEjxCBUici56obyLjsF%2B%2Fez8KGLwUdxVJuq9HZcpljX16lgjlaeg8hTpmUVNqubcUjzNKnBbGIBbJS6pT8nMo5ilAms3kxsAbElvsP0DqP2Ttt9KsEYIoBELpWxWDyHMocSDdUiCYMYDvJmAl5sUE%2BcDgiaiLMd6FrTJUmskFaTyEah8JPZsiru8WGL8ouLpx2rfqshkVQix%2Bz%2FOoyRIte64GalXsb5%2FJFX7J4UfxsVI3EUcMyrVrbqAtbVVB1x96q39f4Yo0goYpBJ6EmhWa31nx3WrUmskFaTyJah8iVSofNrqY2umHOeNsyIQ457ksUTnlP0dq4NfVyuLrpTKLlHy0sUp1UASq%2F2Txr2ASAiiwJvNYrVzBLjUbJ4BjlS0qbdE%2F%2FStUgAExAMyWG2jI2EFDd3qujNsWcPOesxquY6d1OOSmiMbId4YCTT%2BBEq0xDjRKACM8mO1HwF2mYm%2BDnRdrRRht5hUmRPHAeD4CdL3jwBEBQ3OheC84VE%2FXi2L1Q9fB14kOgFc%2F%2BzeVgmgJKuVTnzsPSh2iFoncY82uVrw14aH1%2FxCNVbszO4heYa0vDPk30uc%2F%2BOxv2LgBAAGdjSM8R548OvqoxHiUl0bYWyX7R8h1P5J22%2BHUIlAxXSl5FYDeZS67hHgTO%2F%2F2aoPbWy12r9JqFVifFsqsLYGbGtlJyq%2BV2TuBRrA3WTgs%2FAY70S30519XFebg19X3520%2BbakctBO2j%2BZ%2BNt23qsdwduyWCWnjjB1h%2FZvdWkqhPxKVhi3gMamh2Ilhn304xeIaTVJpVlsTp9FLRt3F9DPgvtmX1czbf4FSeXghcT9k4WXLYxtg8oYrLJRKZNTC7XWa7R%2Fq1RDCDfq7RltpDwixPTcjIdii1R87MYnptUktdKYn6Pz89ZSJj6l6k8NcA%2Bc9bqavvmF6jbdHqwW0vYP5%2Fq9dLGo7qVTrY5OXKnXr0yM7m3V%2BFzIAs4S0crEckCmBDOedY1UCmI3%2BtN0LjUucan0yDOycjD8PZk4VJDCB3%2B%2FqmmtSqlc68g2dUYKlLJ%2FUrgzMl73Gu3xESfFqorzwO0OsXiI4kmrCe%2FSRoQ4T3slOK2ea0qa001Tgci0E2TiQkVk5tHooO9XnYJDWcP3TzovT4xOL5dJixDqXz29gHhGRZTRIRogzT2l5mk6b8F%2BG5KhtyB5%2Fj%2B2mie3mie3mlvNk1vNk1vNk1vNk1vNrZbouy65VR8%2BsST3UJbGpopjJYZdoNsFXGOptDrpfAn9LGWvU5xaLJFvmr9Ycu3kzstYuiHrUuaUFsfGFg%2FyQOFa%2BHaCIAeHMNTnPgA%2FwSrnrg3UPPD%2B1R8AHnwQ%2BIEUq7xONv4w%2Brk7ex2vBhRhng9ks%2BoyGAXU6XYrROTzXnTg4PrRW3EAIQQI8tueVn3I%2BGarnNuoz4%2BOztdZ%2F%2Bpl4KWXgMspVnmdbHwWIgxm91XHA7JxiJ1A64jHvJg0WS0CmBqzWf3NLSG2NmGTnopCOm8l8RZKpNsDSbG0l1UfUXyjVcZLqE8EoGCirj1cC%2F20Eq3yOgjrML6wwHgLFoWxUGHzicx1iB4CQJy7Iee7S4biAw4QUM9k1XhodzE%2B1yRqzo2zk3YXkPZaZODoEJl48avVU5pVQQjFJltVUgHfZJX9N%2FDDuJ3Cerdr%2FasvA5icBPByolVeB6yO5B2go%2FOXdzpJLuAVVseuGOv0%2F2M%2Bce6EnO0uIRO3elPbciars9UyhSlXZ%2FkJvoVSCS3OaeNRCTi%2F59j7UGFc0J7XVSWVad2hpv5VEO9fPQXgwx8GcMr4CRybTHWg6ijungJOuRo%2Fhp%2BgMD%2BBw4Y6Xb3OrOSG1BTPdKxCJZNVfJn6%2BbKhTnMcGG9yTv%2B5Zrb6CQT4LLtQEAkBIRKtFgR2IgpZrDa8aEzvX60AQBAAQIVi6bdzEa9jA7aso3FnGph2NA58ncJ8HTBsz5%2FQ69QkD1OM9TmNju7yYsqxmtFqI46fo36eg8HSzwM%2Fb7L3fR6RkYPwfTdzQVBtOklWuT1ulfevCiH0%2FtV7sZt7zd1ovM5F4KKqozgBpHMA6BB1AIDNb0yuGOvIVPAk8YT1BztW3fq5rXMb9fZjcexEEwEHpjPw%2BLjxDPwH2xHgvIIPMy5EBqtCiBSr6f2rswAaQjQAzCbsFVYn2NwMVB3FCWD1AeC9RO8FADb%2FmZ6az7fzcf15%2BWr7BzhWnYnV5irr1gPtWCX9swSbQHOrXN5qck61ByTgfPY9DzUC%2Fs6GICfsbVXCFKtp%2FatL%2FY9pHQKAJUOZyUnwOnNzYR3GhWAcKmDzHbU9GfpsvfcpPsh11ZhNZXVTG5qbt6hJ8l%2FOT%2FeITPyjX6l9kG8mqe0cwGp6%2F%2BrdAHCd6Lr%2BewKopNbh3Gx1kDoET%2FHBrqvGzCmrc6QlGFFA480k3jxdZpsJEoCgeE8lhfdQQ2JocjKj1fT%2B1RoAvJ%2Fo%2FQBQS7fK63CeZjW9TsOrM14dHW%2Br%2Ban6vF3qZbJKyurBpGnQQpicNDY0E4aAXnQC73%2BNh3XZsv5V1ow6RzQnv4%2FyMjJZ6nDO64jMdaZHJxgvUHnZND%2Bh%2FuguHdXmU0KEUF8PPpES0esZG5pJDAkxdDPOk%2FdC5Mmt5smt5smt5smt5lbz5Fbz5Fbz5Fbz5FZzq%2BYGw13usyHXNjcHKKrHZwuvpKWLinmDsECGlAwdND5R2vIg39VWq0atfV5Y14fs2ryIktVqjbUepmUW9zI2CUyes9AlnvJZtEfiaAEL%2B7OabBqJQ619rSnT4jwKiCHaRaD08MdFvVDnWhVXWpm9jFYrEf5AwoYQz1INNQZ7QG91GJfJkH%2BGBzSyghWyJoUAhJi0SIXRAaw292W1eSBWE4uI3YAIGAOYVsWl1sGsvhLhY3FahN6SqXLs0xZKxud5QurmeQee0xGIRnrRD%2FVGFE6iJKIQj0gdYsjI1RCzKhErnWrVj3Hy0Y3OwCDaqx2Ya92%2FVeBYhK8DbLplAbcC7MT2vh%2FEMZPVyhraZAjgMGRe9S2RQiWJg519D%2BoMnPi4e1n1oReZJXLHKtJqNUFrNaZ1EKuzIswstzp%2B6dK44Vm%2B3Ah%2BCmiZ9%2FsDxFNBnX6%2FrTYVHuwMvJBmdcFs1YdmtYp7yLVRdEFUSNBaiGsdwKqKxq0vAF%2BwuNVTn%2B68buH7uQqxdRYnXWL5XXxtYKtChfHEgcHPwKEeSixPJO3BZHVdt1oQc64NwEZM3zqpxPn6%2Bpth9fiLwIvHmdUOwswaVDTPb%2BB%2BYnkYP3dwx2rmu6XWQZyBhdgogHj5XYTChhCm%2BoWqZtXttn4EYW7Wpy%2Beqbi%2FXshk1dqy9mMVH9ja%2BgCY1YcsIcQW0DGp%2BGkcJpYbeGlfVktAaXCrzYM5A6%2FQ3lZpJWE7C9UYr0wBP4kwSh%2BTKrmSmsWqNdwctrhV0Q%2B3ipMnway6eF7usjYe4lZbpRpeIBbge%2FZlVZnI0nyXOjD4PTCHu8hk26tvh6gQ5ypKH5MacSWVW63G9VnDTriYLnNRhEyLdWSaWzLX8AU5%2Fkn98zpXwW6X1Mj%2F0NkCFhKOym0emVgYbKXag74HNtchGGyPTmyH2VbZ1adLVbykpGpW41xKJalV34qd30KwjkxjS2YX4WLXFfY%2BFmEakz3SYpt%2BH7lSXWFHJVud%2BvfXanNAqzxpj1vQpSpeLmQ7VUmpUivrTw9EmDJlyty25SD6oVHD404zqTQiMaOF3R%2FS%2BIboZ6Mw4PrDB3UGFpRchxTkSX3cwePQd0ZW2P8ZNHkvRJ7cap7cap7cam41T241T241T241T241t%2Bq2aOAs0rdVcquuXawYFrpdTF6%2Fl6eDJUqOu0SDxvdpH8mtus8eR9HUnQ3ftK4vANslPSdxisOlKcjZ8uc6jI9Ryzy%2FWKEuq%2BUn9KOHW5VA%2BVASn%2BrQAcR2wy%2FJvAWwoYjyuD4vFDnwTdi33ZhV1z55ybJYx0B9sw2UDOvrRqK0dAHcZ16C2xp2T1ywntO4d3aCcJXPH696M4EPm0s1aQWkISRQPpTEgcUWGQKAkLknBtIRlFbGm6yUokyeHDJyGLT6QKRVTcPJS8P6Wq%2F1ibnlNg4b1tcFwHR3jOunn8KmEGLkhG3fMeJofPR8yQcWXX1%2BuTAa%2BMAFTWpBAKLAtALSEBIoH0riAIrdwa1KEVA2OAfMQyZ5csjM14llHX2tahqOX2PLSr0%2F6kkwrK9r6ts%2BFcKaq1eZix7h%2BAnG%2B4uZr%2Bl8oUK%2B3p3hLiJURVhkjyANgQzUOJTEIWN3BrUqRSgbBs5KKcrlySHOE1tXIq1qGl8V1MPh0KJlWF%2FX0AVYQjuk9xuvb7CGTzB%2BP6w6UL1D4wsoLrLttrEbW7cRjpGR8iFXcaMl3x3UKmxlw8BZKUWZPF6IS%2BVauVSVNjDWHQMu8PWBI6u1%2BEFc%2FaTBNQE7Um3Gf3RrZMIbLzgaf6cHKTV%2Bgr%2BgrF4w2iAj5UNrGmeWpga2GmXNzHkpjbKXsc22v5HUutIAsDbEpao8gCg%2FxtcHJsn19XV%2F7kGE4VafkvVtMF5oEp0ul3QezHhSKvTXYfSpJ%2FY6BSylSKd86A7FjZaqzwxsNXqEOxI4K2WmI2InI3z7fTLGDx93KHxLY5ZKvQ3IbDYN6wMDgLa%2Brnf5i16C1Y%2BMb9cHGJdp%2BpwHMxsFAkjTGg3qUgkYlo7MlA85ihssWZMFZ1Cr1rA6TgycWzVTFcP2%2B4lSh50hoqfkWxopleddFoD6nGl9YAD6%2BrptrB2SuE6xNNClubLjdtFgfDtmHqworrRG72x0qQSEokzUOJTEw7daI71B75akTyXVwFkpTrlVrjVZ6hDRZZy8ZJZKzkUPjTNkWh%2FYsJL%2BxzzIeLfH8Z3YyZ0D8eS2ZSAUlUD5UBIH2qfPD%2F7ORvpUUg2clTJTocK33%2FzOpi91iFqwfvCaQ%2BYEM43H1FjKerzN01UPqJ4O4nj1XAMyjXOrA%2FHktmUgFJVE%2BZBELueNyeVmQk8mZW7dJ2nI5VIljwaZP0Z5uFZzU34kdYiubY2cdygpwbRylLoeb7MwKkSB7ZjVaSEzvToYT25bFkK1IXPKh0LkcD7dowNIVNkx8ugLO%2FY4TddqbsqPpA6R06TvvORxEnDeCzFo8l6IPLnVPLnVPLnV3Gqe3Gqe3Gqe3Gqe3Gpu1dzf%2B5Zx1ShxcPUHT2uqktR9uN%2F4ST9UWThIq65taI95S7gaAsyddTWPzc%2FCB85JnHT3ZdVuUULel2C1UsTCYK8at0XAUMsNrdqm9pi9uQd4%2B5kPq569Prk%2BgOISkaEPeXS%2BDns%2FfJzXJ2oplMnGAoC1fVlV28%2FkGVX529x750BW5YcvgEox7EYrAYAQrL835ICJW09Xq09b5vkNGPi5kYl5jbPHVVmrjQMfqpWI9SE%2FQvTIRB0lnQdEgZlXarw%2BLRVBaTZ4o3opu9XOVQALCVK9%2BaqxkjcTDGT12RqKQBG1Z4eIDgMAEevvlVyGc2%2FYKRScYc8033pmHIxbq1crgZWxPrm4qwyc%2F1CN9D7kCnwfldtxTOPRRxc4j3biuOLqyKOEmGy0apCptTJa7RYRxnTc3yvlFYxWpdRBrDZnPIQvjuYQUQ0QgkgIredTchnOo5PRGufWZH3Y%2BVmPceDUZ12Ac1ld5zt%2FBF1G60MOqkA1CLxZjdPVlo01zkOpM%2BU4b9kpa5oxGyf7%2FGQ2qz5UCyrLyoaSp1V6KKVtKfvirkNEDWCH1khlL74u8Trnl3oTTqXIOXBnbw0mTgSdQ6bXg4zeh7wePrZX0%2FjVsF%2BS8UhqoPEppFhlNkaEAKA3cJJtvi3oYCfWY4a73BUu1Q%2Bri8JBWj0UjbP%2BXsllOPfCRtc7PJ3L%2B8RKMXsd8%2BOKKzgngMmqJ4TWh1xBtSq%2FHtL4j1uyC4vxUiRV449ZKVa5DfNBecmDjHcpjh9FYyM81VSHg5S7XHZXPJBVMe9J2JgXQ0Rvi8ZZf2%2FIARO3Xd93bc5hd4rmOkIYuSASOienWisBf7J2F%2Bl9yMF8oTAfHNHrHHGGq8MOMY5Qqs6D4SqApHUDlY1Uq803IPNGM46xOb3S60F9JIHd5Wa7K%2B5vjcj8B%2Bdbxei9SbE1FPb3yrD%2B3r14ESgmzR%2BUE93xaQC1u8q8D1neA4%2FxOmO%2FUHAqBo67AmKcnMK4B0qIspFqlVY3AGysanRzTgJrppx2l8vvige7W7pmeTPAjGddG%2Br394L19751nJzCFeDpsrEPucjmZ%2BdK%2BIxFhjAbKVZpxYK1osO56MGDlLtcdlc8sFVn%2BHQABKdl735Cf%2B9bwtUQwOBB1g%2BGiYfZSLVKFxuXyBwn5S6X3RUPbpWcJgkx1JS9%2Bwn9vW8lZ82xB1%2BfiU4ZEOYNCqablDXqLlfXGuz1M3kvRJ7vZKt5cqu51Ty51Ty51Ty51Ty51Ty51dxqntyqe5W%2BrZP3A3dhd4g6NrpkSqc7BibV%2FgjtM4twDXRsjIyxYXMI9dUcn7Lk1VdfVd%2FexFSAA18nOXs%2F8GGrhoUF1KzDxOyVbAAvMKv34RNkSGdxbGyxY%2Bb%2F%2Bs84xFKCefnoFoCUngEebT3LoppfjM265ZZb1Lc3Ma94IgbcItsUxlPWSWZWk%2Fty8fyMBXgzzzN5lSkAaH%2BNDdTwx2jM1aC7iDCLrpE%2F0XLZ86kBNZd4mvuwiv5f%2FAwt2sb5yGrV9d3kA8b3GfUN9Yus0YdvTzrn6ySbrZYAWEJYAEqs6tGjkDG8iBrjj8Mj1oh1N71g8xZ6dTLg%2FHvvk1w75Ot13JexOUCoMNvFViQVFzJYnZubU9%2F44svmAyb6ptNCFWHM%2FVvvT9p%2BkdFqtE4y36DIqi%2BtHo6a%2FGp6X64AgNtuAwBBsawB3tnpf6e%2F6Ih%2BE8DCC9p1%2BAjaaABAFUdM%2FE%2F9Zcm1C8%2FHPw5UiMUF4GY8VoWY96zXZfuIQLWQwSoA9S198WX3BqRAH8AN7TBadAv8L36%2Fhp28lO1YbTDbKuaO1cgq%2FKFIJ1yXrwGrrLLzrHX661PsRbfUbQKsTBfWu%2FHRNoAfs9Dl%2FI87KxZ7HWwCm8o1270Zr6vB6T8ddRkqqZmtmhdf5qsJTmktOoVJQCw7hl3%2F09jJV7JZ%2FWAJKsUUq%2FrfgG4AwFNP8fV%2Bj27nttvkV%2F1Qsi4egcwXY%2FzyjxKssFqLVB7Edae%2B9gBQb17Hgzfz49v8d%2FAXiUKuUkLjV4FfbaBkasYDipUYhdj9h7T8QhHe2%2F820TrtzyqX2kjSyhYX7QHmXf%2Bz6KfRzGS1UT4FlXtSra6ryevJ%2Fbp0224ols96zxchU9c3bwrX7wSA10llro7umXcA9TNd1Odi3Jf8E%2BTHOLk1fMZpt53PoObqUtsA2kpryrFakVJPFivqHjijVSa1Ol2VWolpZVKJkqwGHqI8SZmsfrADFXzRZJWvnyyDaoH166afgXuHEMY7wzfvhVUA6N2Mz1i4f0KIiadgndH4kY9b6HU1fh%2FaPXr8ceq1tcWwi965ZQDL57xilmM1%2BszJb9b023sPO9Hu9uqA36n4QDum7gLkbipUgQvEtTKpBCTcqI6KMN4ns1ktPwqVapNb5Vqj62q1wPqB0626dv%2Fm52mHLeiOBypyRHvqbUwtLEyhPezEeRXAn22hGuMdeB%2BLtvpjHjqx%2BqdXZfXK6ul20rHK%2B2%2FDjxTFhIwKwLoiZEbJ2Nb%2BOFvnVH3TtUYbzy35ScveVvCJbFZbUMGXs7yzKURWC0OsHzjdqn18a1rMzwvWDP2xBsZ7D7GVyclZnnzyHe94cnLZ0Xhh8vfwR1%2FU1s4%2BiSj880rLTYrelzeXsxyr0lpAFIyyNd1hXuS6XEeYepmvc6q%2B6c%2BBVYLSKqVyTc9ls3ofVKxeyjrJrBeC9c2mWD0%2B3CQKAmJpPrNVJlisDlFveWJiuUfE%2BGv4B804ryCWCsXSmBfzjf3%2Fbiku1Y2k8pzZ8ABv4wwNFBGlwF4HTYFtDuFks1qDyvNp6yRzq6pvlm%2Fe6ip7uzTs7NFlTGKkTNmzIgKNBCIWbXg6oGA6bclrngJbG9gYZ2VUiNEVh96sCCmdwYQnMCpUmJtC4YB7IRz67kneC5Ent5ont5ont5ont5pbzZNbzZNbzZNbzZNbXZhaiIPcagtRii5ljQsYJy%2B4rnn3dlGkNzH4KFomHIbz0liR9T8fKF%2BcmlqUnMcdA7qUKXt0xNqAbZgeWu3%2FwFfRz4%2BQKa2rLUOTAYoV0%2FK0tg1qceFu7SzMi58i4Ul2i6a9VUzYIWiimdnqm7%2Fu8amv3XPna5LzHEFjck6C9P7kvZrRhICBhVZFNPYw%2BnmYWNzSGH7lGjR6yrhW47OwJbfxLOm53%2FspZhX4w8AFcXTDcJh1pn7jDRAL3viNqY7RK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<h1 class="title">PA2</h1>
<h4 class="author"><em>Peggy Fan</em></h4>
<h4 class="date"><em>September 1, 2014</em></h4>
</div>
<div id="title" class="section level3">
<h3>Title:</h3>
<div id="impact-of-storms-on-population-health-and-the-economy-data-from-the-u.s.-national-oceanic-and-atmospheric-administration-noaa" class="section level4">
<h4>Impact of storms on population health and the economy: Data from the U.S. National Oceanic and Atmospheric Administration (NOAA)</h4>
</div>
</div>
<div id="synopsis" class="section level3">
<h3>Synopsis:</h3>
<p>This analysis uses the storm data from NOAA dated from 1950 to November 2011 answer two questions: what are the types of storm events are most harmful to population health, and what types of storm events caused the highest levels of damages in the economy? After sorting the event types into categories listed on page. 6 of the NOAA Storm Documentation File, the total number of fatalities and juries, as well as the property and crop damage in dollar amount, were calculated for each event type. The top three event types that were the most harmful were tornado, heat, and flood. The top three event types that caused the most property damage were hurricane, high wind, and wild fire, and for crop damage, they were flood, hurricane, and high wind.</p>
</div>
<div id="data-processing" class="section level3">
<h3>Data Processing</h3>
<p>Load file</p>
<pre class="r"><code>setwd("/Users/peggyfan/Downloads/R_data/Reproducible_research")
url <- "http://d396qusza40orc.cloudfront.net/repdata%2Fdata%2FStormData.csv.bz2"
temp <- tempfile()
download.file(url, destfile = "./repdata-data-StormData.csv.bz2", method = "curl", mode = "wb")
bunzip2(filename = "repdata-data-StormData.csv.bz2", destname = "stormData.csv")</code></pre>
<p>storm <- read.csv(“./repdata-data-StormData.csv”)</p>
<p>Subset data to only relevant columns. Population health is represented by fatalities and injuries. Impact on the economy is presernted by property damage and crop damage.</p>
<pre class="r"><code>names(storm)</code></pre>
<pre><code>## [1] "STATE__" "BGN_DATE" "BGN_TIME" "TIME_ZONE" "COUNTY"
## [6] "COUNTYNAME" "STATE" "EVTYPE" "BGN_RANGE" "BGN_AZI"
## [11] "BGN_LOCATI" "END_DATE" "END_TIME" "COUNTY_END" "COUNTYENDN"
## [16] "END_RANGE" "END_AZI" "END_LOCATI" "LENGTH" "WIDTH"
## [21] "F" "MAG" "FATALITIES" "INJURIES" "PROPDMG"
## [26] "PROPDMGEXP" "CROPDMG" "CROPDMGEXP" "WFO" "STATEOFFIC"
## [31] "ZONENAMES" "LATITUDE" "LONGITUDE" "LATITUDE_E" "LONGITUDE_"
## [36] "REMARKS" "REFNUM"</code></pre>
<pre class="r"><code>keeps <- c("STATE","COUNTY", "EVTYPE", "FATALITIES", "INJURIES", "PROPDMG", "PROPDMGEXP", "CROPDMG", "CROPDMGEXP")
storm1 <-storm[keeps]
storm1$EVTYPE <- as.factor(toupper(storm1$EVTYPE))
storm1$EVTYPE <- gsub("/", "", storm1$EVTYPE)
storm1$EVTYPE <- as.factor(storm1$EVTYPE)</code></pre>
<div id="question-1" class="section level4">
<h4>Question 1:</h4>
<p>Subset data that contains non-zero values of pop_health</p>
<pre class="r"><code>health_data <- subset(storm1, storm1$FATALITIES!=0 & storm1$INJURIES!=0)</code></pre>
<p>Calculate the sum for fatalities and injuries by event type, and create a new table of those sums.</p>
<pre class="r"><code>library(plyr)
Fatalities_sum <-ddply(health_data, c("EVTYPE"),summarize,sum=sum(FATALITIES), na.rm=TRUE)
Fatalities_sum <- Fatalities_sum[, -3]
Fatalities_sum$Category <- "Fatalities"
Injuries_sum <-ddply(health_data, c("EVTYPE"),summarize,sum=sum(INJURIES), na.rm=TRUE)
Injuries_sum <- Injuries_sum[, -3]
Injuries_sum$Category <- "Injuries"
health_graph <- rbind(Fatalities_sum, Injuries_sum)</code></pre>
<p>Clean up event type variables for health data. The strategy is to use the event type table on page.6 of the Storm Data Documentation File, where keywards related to an event type are used to recode that variable into the particular event type.</p>
<pre class="r"><code>vars <- as.character(health_graph$EVTYPE)
vars <- gsub("ICE STORM.*", "TEST", vars)
vars <- gsub("EXTREME COLDWIND CHILL", "TEST2", vars)
vars <- gsub("AVALAN.*","AVALANCHE", vars)
vars <- gsub("BLIZZARD.*|BLOWING SNOW.*|.+SQUALL.*|SNOWHIGH.*", "BLIZZARD", vars)
vars <- gsub("COASTAL.*", "COASTAL FLOOD", vars)
vars <- gsub("HIGH WINDSEAS", "MARINE HIGH WIND", vars)
vars <- gsub("HIGH.*|\\WIND\\>|\\<WINDS\\>|RAINWIND", "HIGH WIND", vars)
vars <- gsub(".+COLD|COLD.*", "COLD/WIND CHILL", vars)
vars <- gsub("DROUGHT.*", "DROUGHT", vars)
vars <- gsub("EXTREME HEAT", "EXCESSIVE HEAT", vars)
vars <- gsub("EXTREME COLD.*|.+WINDCHILL|EXTREME COLDWIND CHILL", "EXTREME COLD/WIND CHILL", vars)
vars <- gsub("LOW TEMPERATURE|HYPOTHERMIA.*", "EXTREME COLD/WIND CHILL", vars)
vars <- gsub("FLASH FLOOD.*", "FLASH FLOOD", vars)
vars <- gsub(".+FLOOD.*|FLOOD.*", "FLOOD", vars)
vars <- gsub("FREEZ.*|FROST|\\<ICE\\>|.+ROAD.*|BLACK ICE|GLAZE.*", "FROST/FREEZE", vars)
vars <- gsub("FOG.*", "FOG", vars)
vars <- gsub(".+HAIL.*", "HAIL", vars)
vars <- gsub(".+WARM|WARM.*|.+HEAT.*|HYPERTHERMIA.*", "HEAT", vars)
vars <- gsub(".+RAIN.*|.+SLIDE.*", "HEAVY RAIN", vars)
vars <- gsub(".+SNOW|SNOW.*", "HEAVY SNOW", vars)
vars <- gsub(".+SURF.*", "HEAVY SURF", vars)
vars <- gsub("HURRICANE.*|TYPHOON", "HURRICANE", vars)
vars <- gsub("TSTM WIND.*", "MARINE STRONG WIND", vars)
vars <- gsub("RIP CURRENT.*", "RIP CURRENT", vars)
vars <- gsub("STORM SURGE.*", "STORM SURGE/TIDE", vars)
vars <- gsub("THUNDERS.*|DRY MICROBUST.*|LIGHTNING.*|\\<WIND STORM\\>", "THUNDERSTORM WIND", vars)
vars <- gsub("TROPICAL.*", "TROPICAL STORM", vars)
vars <- gsub("TORNADO.*", "TORNADO", vars)
vars <- gsub("WATERSPOUT.*", "WATERSPOUT", vars)
vars <- gsub(".+FIRE.*", "WILD FIRE", vars)
vars <- gsub("WINT.*|.+MIX.*", "WINTER STORM", vars)
vars <- gsub("TEST", "ICE STORM", vars)
vars <- gsub("TEST2", "EXTREME COLD/WIND CHILL", vars)
vars <- gsub("STRONG WINDS", "STRONG WIND", vars)
health_graph$EVTYPE <- (vars)</code></pre>
<p>Recode event type as factor variable</p>
<pre class="r"><code>health_graph$EVTYPE <- as.factor(health_graph$EVTYPE)
levels(health_graph$EVTYPE)</code></pre>
<pre><code>## [1] "AVALANCHE" "BLIZZARD"
## [3] "COLD/WIND CHILL" "COLD/WIND CHILL TEMPERATURES"
## [5] "DENSE FOG" "DUST STORM"
## [7] "EXTREME COLD/WIND CHILL" "FLOOD"
## [9] "FOG" "FROST/FREEZE"
## [11] "GUSTY HIGH WIND" "HAIL"
## [13] "HEAT" "HEAT WAVE"
## [15] "HEAT WAVE DROUGHT" "HEAVY RAIN"
## [17] "HEAVY SNOW" "HEAVY SURF"
## [19] "HIGH WIND" "HURRICANE"
## [21] "ICE STORM" "ICE STORM2"
## [23] "MARINE ACCIDENT" "MARINE HIGH WIND"
## [25] "MARINE MARINE STRONG WIND" "MARINE MISHAP"
## [27] "MARINE STRONG WIND" "MARINE THUNDERSTORM WIND"
## [29] "MIXED PRECIP" "RIP CURRENT"
## [31] "ROUGH SEAS" "STORM SURGE/TIDE"
## [33] "STRONG HIGH WIND" "STRONG WIND"
## [35] "THUNDERSTORM WIND" "TORNADO"
## [37] "TROPICAL STORM" "TSUNAMI"
## [39] "URBANSML STREAM FLD" "WATERSPOUT"
## [41] "WILD FIRE" "WIND"
## [43] "WINTER STORM"</code></pre>
</div>
<div id="question-2" class="section level4">
<h4>Question 2:</h4>
<p>Subset data to only retain cases where both property damage and crop damage are non-zero</p>
<pre class="r"><code>damage_data <- subset(storm1, storm1$PROPDMG!=0 & storm1$CROPDMG!=0 )</code></pre>
<p>Convert the property damages into numeric values, using the variable PROPDMGEXP and CROPDMGEXP. Values outside of H, K, M, and B are ignored due to the confusion of what those values might mean.</p>
<p>First convert all letters to upper case</p>
<pre class="r"><code>damage_data$PROPDMGEXP <- toupper(damage_data$PROPDMGEXP)
damage_data$CROPDMGEXP <- toupper(damage_data$CROPDMGEXP)</code></pre>
<p>For property damage, recode the numeric values of H, K, M, B, then calculate the numeric values of PROPDMG.</p>
<pre class="r"><code>damage_data$pexpH <- ifelse(damage_data[ , "PROPDMGEXP"] == "H", 100, NA )
damage_data$pexpK <- ifelse(damage_data[ , "PROPDMGEXP"] == "K", 1000, NA )
damage_data$pexpM <- ifelse(damage_data[ , "PROPDMGEXP"] == "M", 1000000, NA )
damage_data$pexpB <- ifelse(damage_data[ , "PROPDMGEXP"] == "B", 1000000000, NA )
damage_data$pEXP <- rowMeans(damage_data[, c("pexpH", "pexpK", "pexpM", "pexpB")], na.rm=TRUE)
damage_data$prop_d <- damage_data$PROPDMG*damage_data$pEXP</code></pre>
<p>Repeat the same recoding steps for crop damage.</p>
<pre class="r"><code>damage_data$cexpH <- ifelse(damage_data[ , "CROPDMGEXP"] == "H", 100, NA )
damage_data$cexpK <- ifelse(damage_data[ , "CROPDMGEXP"] == "K", 1000, NA )
damage_data$cexpM <- ifelse(damage_data[ , "CROPDMGEXP"] == "M", 1000000, NA )
damage_data$cexpB <- ifelse(damage_data[ , "CROPDMGEXP"] == "B", 1000000000, NA )
damage_data$cEXP <- rowMeans(damage_data[, c("cexpH", "cexpK", "cexpM", "cexpB")], na.rm=TRUE)
damage_data$crop_d <- damage_data$CROPDMG*damage_data$cEXP</code></pre>
<p>Calculate the sums for property damage and crop damage by event type and create a new table for both types of sum.</p>
<pre class="r"><code>Prop_d_sum <-ddply(damage_data, c("EVTYPE"),summarize,sum=sum(prop_d), na.rm=TRUE)
Prop_d_sum$Category <- "Property Damage"
Crop_d_sum <-ddply(damage_data, c("EVTYPE"),summarize,sum=sum(crop_d), na.rm=TRUE)
Crop_d_sum$Category <- "Crop Damage"
damage_graph <- rbind(Prop_d_sum, Crop_d_sum)</code></pre>
<p>Clean up event variable for damage data using the same strategy as the recoding of event type of quesiton 1.</p>
<pre class="r"><code>vars1 <- as.character(damage_graph$EVTYPE)
vars1 <- gsub("ICE STORM.*", "TEST", vars1)
vars1 <- gsub("EXTREME COLDWIND CHILL", "TEST2", vars1)
vars1 <- gsub("AVALAN.*","AVALANCHE", vars1)
vars1 <- gsub("BLIZZARD.*|BLOWING SNOW.*|.+SQUALL.*|SNOWHIGH.*", "BLIZZARD", vars1)
vars1 <- gsub("COASTAL.*", "COASTAL FLOOD", vars1)
vars1 <- gsub("HIGH WINDSEAS", "MARINE HIGH WIND", vars1)
vars1 <- gsub("HIGH.*|\\WIND\\>|\\<WINDS\\>|RAINWIND", "HIGH WIND", vars1)
vars1 <- gsub(".+COLD|COLD.*", "COLD/WIND CHILL", vars1)
vars1 <- gsub("DROUGHT.*", "DROUGHT", vars1)
vars1 <- gsub("EXTREME HEAT", "EXCESSIVE HEAT", vars1)
vars1 <- gsub("EXTREME COLD.*|.+WINDCHILL|EXTREME COLDWIND CHILL", "EXTREME COLD/WIND CHILL", vars1)
vars1 <- gsub("LOW TEMPERATURE|HYPOTHERMIA.*", "EXTREME COLD/WIND CHILL", vars1)
vars1 <- gsub("FLASH FLOOD.*", "FLASH FLOOD", vars1)
vars1 <- gsub(".+FLOOD.*|FLOOD.*", "FLOOD", vars1)
vars1 <- gsub("FREEZ.*|FROST.*|\\<ICE\\>|.+ROAD.*|BLACK ICE|GLAZE.*", "FROST/FREEZE", vars1)
vars1 <- gsub("FOG.*", "FOG", vars1)
vars1 <- gsub(".+HAIL.*", "HAIL", vars1)
vars1 <- gsub(".+WARM|WARM.*|.+HEAT.*|HYPERTHERMIA.*", "HEAT", vars1)
vars1 <- gsub(".+RAIN.*|.+SLIDE.*", "HEAVY RAIN", vars1)
vars1 <- gsub(".+SNOW|SNOW.*", "HEAVY SNOW", vars1)
vars1 <- gsub(".+SURF.*", "HEAVY SURF", vars1)
vars1 <- gsub("HURRICANE.*|TYPHOON", "HURRICANE", vars1)
vars1 <- gsub("TSTM WIND.*", "MARINE STRONG WIND", vars1)
vars1 <- gsub("RIP CURRENT.*", "RIP CURRENT", vars1)
vars1 <- gsub("STORM SURGE.*", "STORM SURGE/TIDE", vars1)
vars1 <- gsub("THUNDERS.*|DRY MICROBUST.*|LIGHTNING.*|\\<WIND STORM\\>|SEVERE.*", "THUNDERSTORM WIND", vars1)
vars1 <- gsub("TROPICAL.*", "TROPICAL STORM", vars1)
vars1 <- gsub("TORNADO.*", "TORNADO", vars1)
vars1 <- gsub("WATERSPOUT.*", "WATERSPOUT", vars1)
vars1 <- gsub(".+FIRE.*", "WILD FIRE", vars1)
vars1 <- gsub("WINT.*|.+MIX.*", "WINTER STORM", vars1)
vars1 <- gsub("TEST", "ICE STORM", vars1)
vars1 <- gsub("TEST2", "EXTREME COLD/WIND CHILL", vars1)
vars1 <- gsub("STRONG WINDS", "STRONG WIND", vars1)
damage_graph$EVTYPE <- (vars1)</code></pre>
<p>Recode event type as factor variable</p>
<pre class="r"><code>damage_graph$EVTYPE <- as.factor(damage_graph$EVTYPE)</code></pre>
</div>
</div>
<div id="results" class="section level3">
<h3>Results</h3>
<div id="question-1-1" class="section level4">
<h4>Question 1:</h4>
<p>Calculating new sums by the recoded event type variable. Remove duplicates.</p>
<pre class="r"><code>fn <- function(x) sum(x)
test <- ddply(health_graph, c("EVTYPE", "Category"),transform, sum=fn(sum), na.rm=TRUE)
health_graph1 <- unique(test[duplicated(test),])</code></pre>
<p>Log the sums to highlight lower frequencies due to the huge discrepancy between the sums. For instance, tornado’s number was near 100,000, and the second highest event “Heat” has only about 8800.</p>
<pre class="r"><code>health_graph1$sum <- log(health_graph1$sum)</code></pre>
<p>Create graph for damage of population health</p>
<pre class="r"><code>library(ggplot2)
ggplot(data=health_graph1, aes(reorder(EVTYPE, sum), y=sum, fill = Category)) +
geom_bar(stat ="identity") + coord_flip() +
theme(axis.text.x=element_text(angle=90)) +
ggtitle("Most Damage to Population Health by Event Type") +
labs(y = 'Frequency (logged)', x = 'Event') </code></pre>
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R9DRQSKXWD79u3mlltusZd55513Gn1OgmXKlCnm+eefN7HCDgqYXnLJJaZ3797Bw3iOAAIIZF2g/K9nsn4KGkQAAQQQQAABBBBAAAEECkPglVdeMS+//LLtTO3atU2vXr1M8+bNTb169eyPMtN27dplFNjZsWOHHbK7YMEC+3rixInm66+/NmeeeWZhXAy9QKCABZYuXeoHP5s0aWKGDh1qWrdubXusrOupU6faz9fjjz9ubrrpJnPggQcW8NXQNQQQqOwCBEAr+x2k/wgggAACCCCAAAIIIJCUgAKZCn5Wq1bNnHPOOWbw4MFJDWtXQFTBmhdeeMFmjmo4vIbGUxBAILbAc889ZzM/O3ToYK677royn7WDDz7YHHXUUebJJ580H374oRk/fry5/vrrYzfGHgQQQCBDARZByhCQwxFAAAEEEEAAAQQQQKByCCxcuNB2VBmcxxxzTJmATLwrUFboSSedZH9Ub/r06fGqsw+BKi/wzTffmJUrV1qHMWPGhH7WatSoYc477zzTuHFjs3z5cn9+0CqPBwACCOREgABoTlhpFAEEEEAAAQQQQAABBApN4IsvvrBdGjhwYFpdGzRokD3uq6++Sut4DkKgqghofl0tKqZfHrhh72HXrgXHunTpYrQo2Zo1a8KqsA0BBBDIigAB0Kww0ggCCCCAAAIIIFCxApqvUHOq7d27t2I7wtkRKGABrVitoiHw6RRltakoaENBAIHYAo0aNbIrwuuz5j43sWrvt99+dpcCphQEEEAgVwLMAZorWdpFAAEEqrjAhg0bzHvvvWeWLVtmlCmzc+dOG5jRF2FlA9StW9dOdq95obQAxUEHHVTFxbh8BMoLrFixwn5+WrRoYdq1a1eugoKdWtDl/fff91ez1mdM9TVcV9lq6QZ6yp2MDQgUgUDLli3tLwo05+AJJ5yQ8hXp3zWVsM9jyo1xAAJFJhBc6b169eqmc+fOZtGiRWb16tUxv+fp37HPPvvMSrAIUpG9IbgcBApMoMb/eqXA+kR3EEAAAQQqsYCCnVrNc9KkSebzzz+3q+Xu3r3bDm3SZenLsb7sKiC6fv16+6V32rRpRiuFagiUAqMUBBD4r8DkyZPtCro1a9Y0hxxySBmWLVu2mLvuusvMmzfP6DMWLMoGnTt3rlmyZIkZMGCA0X9EKQggYEyDBg3sLwwUlNHnQqu/65dyiYo+b6+++qp56623jOYt1ByimreQgkBVF9B3uilTplgGfZ/TPLsayq5/h/QLB/0btXHjRtO/f/9y/xbp2AkTJtjvgqo7bNiwqs7J9SOAQA4FyADNIS5NI4AAAlVNYNOmTeYvf/mL0aNKmzZtTLdu3Uz9+vVNvXr17KMCoDt27LBfjEtKSuwX5S+//NJ8+umnNpjzgx/8wGavVTU7rheBVAWeeuopmx2q47SStQKkTZo0sZ+/xYsXG/1HVFk1EydONFqAgoIAAsZo5enjjz/eBjJffPFF89JLL9ltBxxwgP03SgFSBUS16rsCOPr3Sv9G6ZcJLrvt7LPPjpnNhjECVU1Av0ho1qyZDXLqc6PPin6CRd/xXnvtNTN8+HB/s35RPmfOHP8746hRo/x9PEEAAQRyIUAANBeqtIkAAghUUYGHHnrIfpHt2LGjGTt2rP3NfzIUWiX0iSeesMMS//Wvf5mrrroqmcOog0CVFVD22oIFC+z1X3bZZebQQw/1LTStRL9+/cwRRxxh7rnnHjsVhTJv9MsICgIIGKNAi4bavvzyy3bqCP3CQD+JSqdOnczQoUNNnz59ElVlPwJVRkAjdzSoVL8s0FB3/axatcr+aF5qN/+nm+fTwWgaCv2SQQHUkSNHmh49erhdPCKAAAI5ESAAmhNWGkUAAQSqnoC++C5fvtxmoCmAqYzPZIvm//ze975nbr/9dhvU0cqhmjyfggAC4QKaG1RFgc9g8DNYW3MUjhgxwp+OggBoUIfnVV3gqKOOspnT8+fPt1Ow6BdxGpWgDDYNy1UmqIa4ux8FPfXLBQoCCIQL6HufMqz144oWHVu3bp0NhrZt29Ztto/6PDVt2tR+Dtu3b19mHy8QQACBXAgQAM2FKm0igAACVVDgiy++sFetYbipBD8dlQKe3bt3Nx9//LEd1ksA1MnwiEB5Ac2fq6IFJuKVnj172gCoC5jGq8s+BKqagObW7du3r/2patfO9SKQDwF9xhT4jA5+6tyM9snHHeAcCCAQFGBG/KAGzxFAAAEE0hbQb/lVMllxet++fbaNWrVq2Uf+QACBcAFlzai4OQnDaxnjhhzu2bMnVhW2I4AAAggggAACCCBQ9AIEQIv+FnOBCCCAQH4ENJ+aioYTajh8qkUrhLpVeVu3bp3q4dRHoKgFogOdXbt2tderRY7ilU8++cTudp/PeHXZhwACCCCAAAIIIIBAsQowBL5Y7yzXhQACCORZoFWrVqZLly525c97773Xzj2oII0mt49XNDm+Fp94+umn7dxrGo6oIVMUBBD4VuCdd94xWkVX83pqzlw9av60hQsX2p+wxSM0LcXzzz9vGwnOyfZtqzxDAAEEEEAAAQQQQKBqCFTzMgoiVeNSuUoEEEAAgVwLaKL7P//5z3ZVXZ1L83gqCFq/fn27oIQeVZQhqpU/teCEgjrbtm2z25s3b25uvvlmoxVFKQggYMzkyZPNa6+9ZuINYdeUEXfccYepXbu2JVuyZIl5/fXXbWBUX/MUKL3hhhsymp6Ce4EAAggggAACCCCAQGUWIABame8efUcAAQQKUODrr7+2i67MnTs36d7VqVPHHH300eb4449n9fek1ahYVQSUJa1Fj1atWmVWr15ttFq1Ht0vDpQxfffdd/sBzqlTp5qJEydaHmWLXnbZZXal3arixXUiEE9Av1DQSu+Zlm7dutmF+zJth+MRqOwCy5YtM3PmzMnKZYwcOTIr7dAIAgggECbAGMMwFbYhgAACCKQtoMVZLr/8cqNsUGV3Ll261AZv9B/OnTt32kVZGjdubNxPy5YtzaBBg4yCoBQEECgvoGkkNIenfgYMGOBX2Lp1qw2K6pcOwcXHmjRpYgMzWgFev1hwCyH5B/IEgSosoOkktmzZkrGAPlfdu3fPuB0aQKCyC6xZs8ZMmTIlK5dBADQrjDSCAAIxBMgAjQHDZgQQQAABBBBAAAEEECguAWVQP/744/aXdLoyzafboEGDlC9y4MCB9pd3KR/IAQgUmUBpaamdquXVV1+1V6ZpjDp27JjWVV599dVpHcdBCCCAQDICBECTUaIOAggggAACCCCAAAIIFIWA5qD+y1/+YjOoNZT92muvLZNFXRQXyUUgkGeB6dOnm6eeesqe9brrrjMsvpfnG8DpEEAgoUD8pXkTHk4FBBBAAAEEEEAAAQQQQKDyCGhBPk3VooXDFi1aZN54443K03l6ikCBChxxxBHm2GOPNVp8T1nW+kUDBQEEECgkAQKghXQ36AsCCCCAAAIIIIAAAgjkXEDzVZ9xxhn2PK+88oopKSnJ+Tk5AQLFLjBixAjTrFkzs3nz5qzNC1rsZlwfAgjkT4AAaP6sORMCCCCAAAIIIIAAAggUiMAxxxxjOnfubPbs2WPefPPNAukV3UCg8gooq/q8886zFzB16lSyQCvvraTnCBSlAHOAFuVt5aIQQAABBBBAAAEEEEAgkYAyPzds2GBq1aplWrdunag6+xFAIAmBVatWGS2O1KJFC1OvXr0kjqAKAgggkHsBAqC5N+YMCCCAAAIIIIAAAggggAACCCCAAAIIIFBBAgyBryB4TosAAggggAACCCCAAAIIIIAAAggggAACuRcgAJp7Y86AAAIIIIAAAggggAACCCCAAAIIIIAAAhUkQAC0guA5LQIIIIAAAggggAACCCCAAAIIIIAAAgjkXoAAaO6NOQMCCCCAAAIIIIAAAggggAACCCCAAAIIVJAAAdAKgue0CCCAAAIIIIAAAggggAACCCCAAAIIIJB7AQKguTfmDAgggAACCCCAAAIIIIAAAggggAACCCBQQQIEQCsIntMigAACCCCAAAIIIIAAAggggAACCCCAQO4FCIDm3pgzIIAAAggggAACCCCAAAIIIIAAAggggEAFCRAArSB4TosAAggggAACCCCAAAIIIIAAAggggAACuRcgAJp7Y86AAAIIIIAAAggggAACCCCAAAIIIIAAAhUkULOCzstpEUAAAQQQQAABBBBAIEWBuXPnmhUrVpjevXub9u3bp3g01XMhsGTJEvPpp5+azp07mx49euTiFLSJAAIIIIAAAhkKVIt4JcM2OBwBBBBAAAEEEChKgUGDBpmVK1emdW2XXHKJueOOO9I6loMQCBNYu3at6dmzpyktLTWLFy82rVq1stXuv/9+84tf/MI+v/fee83o0aPDDmdbBgLDhg0z8+fPNzVr1jSrVq0q09Lnn39u70vTpk3NJ598Ypo0aVJmPy8QQAABBBBAoOIFyACt+HtADxBAAAEEEECgQAU2bNhgvvzyy7R6t23btrSO4yAEYglcc801ZvPmzea2227zg5+qu2PHDv99umvXrliHsz0DgY0bN1pjBUCjizI/v/e975m7777b3HDDDeaRRx6JrsJrBBBAAAEEEKhggfL/gldwhzg9AggggAACCCBQiAKHHHKIqVu3btJda9euXdJ1qYhAIoGJEyeaZ5991rRp08bceOONiaqzP88CP/vZz2zg89FHHzVjxowxJ510Up57wOkQQAABBBBAIJ4AAdB4OuxDAAEEEEAAAQT+T2DSpEmmW7dueCCQd4EtW7bYDEOd+JZbbkkpEJ/3zlbRE+6///7m+uuvNz//+c/NlVdeaRYuXGjq1KlTRTW4bAQQQAABBApPgFXgC++e0CMEEEAAAQQQQAABBHyBBx54wHz11VdGc0xefvnl/naeFJbA97//fRucXrZsmXn88ccLq3P0BgEEEEAAgSouQAC0ir8BuHwEEEAAAQQQQACBwhXYu3ev+dOf/mQ7eOaZZ5ratWsXbmereM8aN25sTjnlFKug+UBZa7aKvyG4fAQQQACBghJgCHxB3Q46gwACCCCAAALFKnDTTTeZkpISc/TRR5sLLrjAzheoLDGtGq35Ra+66ipzzjnnmGrVqpUhmD17tvnnP/9p9DhnzhwbAOvbt6/Rz2WXXWZatmxZpn7YC51DQbQZM2bYFax79OhhjjnmGHu+fv362bklX331VXvoX//61zJNTJkyxZ5fG7Wy/WGHHVZmf/DF7bffblauXGk3RbcTrKeg3sMPP2w+/PBDe13Lly+30wvomrTatgJ9scr//M//mE2bNpnBgweb7373u0YLVT399NPmvffeM9OnT7erdPfv398ceeSR5uqrrza1atWK1ZS//f333zd///vfzUcffWRWrFhhGjZsaLp06WKNfvjDH5pGjRr5dWWoeR5VBg0aZC699FL7PNYfau+OO+6wu929j1U3bPtTTz1lVq9ebXede+65YVWS3qbFku677z6j69UQbS3wpfdCnz59zPHHH5/06vF6P/3xj380M2fOtF4dO3Y0RxxxhBk1apQZMmSIefPNN80zzzxj+6XV6Q888MByfdy9e7d54okn7L3TKup79uyx7y3dN30WdA+0oJD6nMg5G5+RBQsW2GvSe1KrvPfs2dPe/7Fjx9rPZ7kLiLFBn+F///vfZtGiReaFF14wZ5xxRoyabEYAAQQQQACBvAp4v5mkIIAAAggggAACCIQIdOjQIeJ9MbM/n376aUiN5DcdcMABth0vaBm56667/HZd++3bt4988803foP79u2LeAHFyH777VeurjumefPmEW9hHP+YsCe33nprxAuqhrbhLeoUefHFFyPevJL+/ug2fv/73/v7/vGPf0TvLvPaC2D6dcvsCLzwgmcRL+jq13PXEnz8zne+E/n6668DR337tG3btvZYL4gcWbp0aeTggw+O2ZYXOLN1vj267LOtW7dGvKBdzOPVJ2/YeRljL2gY8VYCt8fonnqBu7KNRr3yAoB++4nuVdSh9qWzUj9inSuZezRhwoTIQQcd5Pcl6O2ejxgxIrJ27dqwbvjbfvKTn8R8P1WvXj1y5513Rv7whz/45wn73HjBwYgXNPXruPO7R+8XAhEvKBrx5tW0dc477zz//MEn2fqMxLumBg0a2M+Ie2/r3screk95Wbq2315QOV5V9iGAAAIIIIBAHgXIAPW+aVEQQAABBBBAAIF8CSgzTJlvrnhBI+MFPs24cePKZH96wSjz8ssv22pafV4rSytDcteuXeaDDz6wWZvr16+32ZIabqsFWKKLsiW9gJTd7AVS7fyRxx57rPGCNLZtrSqubMtevXpFH5qT12+//bY59dRTzc6dO237AwcONCeffLLxAs1m/vz5Rlmo8vGCdTZbVRmvGlYcVj777DNz1FFHmTVr1hgvCGp0Xc2aNTPvvvuu9SktLbUZpnJTZmh0UcahjlH2oIoyDkePHm2UPar7IfvJkycbLxBr7f/zn//YDMUWLVqY4cOHm+eee85mn7722mvm9NNPj27ef+3utResNqeddpq/PZknXjDSzJo1y1YdOXKk0T1MpygT0Qsq+4cefvjh5rjjjjPt2rWzWcUvvfSSzTJVPb0XPv74Y7vPP+D/nvz4xz82v/3tb+0rvW/VJ2Vs6j2pe6tsYS3S1KpVq+hD/dfK9lUmrN67Kp06dbJZkrqHc+fOte9rZWMq01jZn/FKNj4jP/rRj8zvfvc7expd01lnnWWvSZ8RZbK+88479jqTXdBI7yO9p59//nl77LZt2+x7K951sA8BBBBAAAEE8iCQx2Arp0IAAQQQQAABBCqVQDAD1AuARbzh3Ql/vIBc6DW6DFDv653NDvOG99rsRG8Id8QLkkW8hVP847xhz3523KGHHhpZvHixv8898QJOES8YZ+vVr18/4g2Tdrvsoxc89DMVmzRpEpk6dWqZ/Xpx7733RmrUqOGfS32LLslkF7pjXJZcWDvesPeIMvvc9XtBp4gy+ILFC4xGLr74Yr+OF9QN7rbPXQaoa8cbXh5R28HiBVL9a1c9b6h2cLd9rsxY14Y3BDzUOJip6wVG/TaUyemOVbZqrDJt2jS/njeUPla1mNuVcevO8+c//zlmvXj3SO8vbwi6bUfZxF6wvFw7yrZV9qc7lxcUL1fHC8RGlOGpOsrM9ALE5eo88sgjES9Q6Lejut5Q+zL1vACjv1/Zt16AsMz+devWRbzAtF9HbYQZZ+Mz4gVc/fe/N81B6DXpfequW33R5yVRCWb9KsOaggACCCCAAAIVL1D+W27F94keIIAAAggggAACBSEQDIAq+JHMjzcnZ2jfgwFQb6GU0DrauH37dn+osoaoa7hwrOJlH/p90pDwYDn//PP9fQrixCrevJ5+PV1fdIkXXIuuGy8AqgCe89M54xVvPklbVwG76ABaMACqoF2s4s256p/vV7/6VZlqCrTWq1fP7ldwK/ocwcpepqTfjqunoegu+Kx7pGHPYeXKK6/0j/UyTcOqxN0WvDfxhs/Hu0fB98GNN94Y83y6ps6dO/v9jQ7cKSjq7p83j2jMdn7+85/79VTfmekAGbg2NBzfyxwNbUcBWS/z168bHQDN1mdEQ+tdf2QYq1x00UV+vWQCoAoEu3b1iw4KAggggAACCFS8AKvAe99OKAgggAACCCCAQD4Frrvuupin0zBkt5CQhsV37do1Zt2TTjrJX6BFi+VoWLeKhn+74fNetp5dVCZWI978h8YL6sTanbXtXrap35YXkPSfhz3R4jcqWixp/PjxYVXsNg1fjlU0zNoVLZQULBqq7YZXe0Ew07179+DuMs9vvvlmc+2119pFpDQVgYqGonuBRftcw/knTZpknwf/0CI/biEgL4vX6CfVoikAXPEChu5pSo+vvPKKra+h2ZoSIVbRNd12223+7ieffNJ/rmvUUH8VDZvX4luxihdkNd58paG7tTiQKz/96U9jrmjvZSwbLRoWq2TrM+IW/lJ/vWB1rNNZNw2PT7YE71XwHiZ7PPUQQAABBBBAIPsCzAGafVNaRAABBBBAAIEiFNAcigrMJCrBFcNj1dUK47GKN9zd36U5LhMVzZWoORO94eTGWxTIrqau11opXUUrfHsLucRsxsv6s/M+5jJQo7598cUXtg9aMTzeHJGqFFxpXnN9xirxHINBOBcYdu1ovkpXhnirlscrmu9TP9FFK9B7i/3Yzd5QdeMN3S9TRUE6dw+i95WpGOeFmydTVRR4TLXoeM1hqqJ5PzVHarwSnMvUW7zIr6o5VBUEVdFq7wqWxip6/2vVdhcwDdbTnJquaA7SeGXYsGHmZz/7WWiVbHxG9H7fvHmzbX/AgAFxPyPdunUzeq8Fzxvasf/bGLxXwXsY7xj2IYAAAggggEBuBQiA5taX1hFAAAEEEECgSAS8ef1scDHTy1G2pYKAsUow4KcsOGVoxitarMUVHatgjTePottkgtlo/saoJ24xnKjNWXuphW9cEFKLFnnD2JNuO+gRPMhbadt4c1sGN5V5XqtWLf+1FjUKlqBPMFgVrJPoee/evY0CZx999JF566237CJCbdq08Q9zix8Fs0X9nUk+ccEzZZ56UygkedS31bzh5/4LLTSVqChLVEHSjRs32mCfN1jNLszlzS/rH5pMO7HqBNtp376932bYk1htqG7wPZHuZ0QLTLmSzPtRdZINgAY/c+4eunPxiAACCCCAAAIVI0AAtGLcOSsCCCCAAAIIVFEBBe3iZdAtWbLEl0k1ePL555/bY13moV4kyrZUnXSDgDo2mRK8Jg0NDwbCEh3vrim6noJ11apVi96c1OugazBomdTBgUrKAlUAVAFWTUHghm2rfTf0XCu/awX4VIsyLl3WZevWrVM93NYPBuyCQbl4jSnQpwCoN8+mfVTgVa9dSeZaYr3nXDvKSHbTCbh2ox/1OdH9VRA2ugTfT8F7GV0v7LV7PwWPS8Y3WT+dUyvGu0Cyu+awvrANAQQQQAABBPInQAA0f9acCQEEEEAAAQQQMInmEvRWdPeV/vd//zfhsGW/svfEDZkPZrS5IdDBetHPXXZm9Pbo12HBqGAdzT0aVoLXpOHtmts02RIvWJxsG9H1gkPBt2zZEr076ddjx441mvNSQV0Ng3cB0KefftrOX6qGvAV0km4vWFFBNF275kFV++mU4DQAbrh3onaCATs3nUMwQBjMnIzV1pdffhm6S+3Iu6SkxP7Em5pBAcpY77fg+yndz4gC6K4kYxPrve3aiH509yx4nug6vEYAAQQQQACB/AkQAM2fNWdCAAEEEEAAAQQSCmjRIy3So6Jg4amnnprwmOgKBx98sL9Jw88TlRUrViSqYvcrGBevxAomRi/k9L3vfS9eMznfF5w7dNWqVXHPpyCc5jCtWbP812bNCTty5Ei72JHmlFTGpa5VAVAVZU8G59WMe6Koncp+VBak+he9iFNU1Zgvg++DZcuWxaznduj+aooCFW8VduOmEQi24xbocseEPcZ6P6kdNyxf7fTo0SPscLstVhvamY3PSMuWLf1zxzuXq5TM58jVVfBTQV6VWNmwri6PCCCAAAIIIJAfgeSXM8xPfzgLAggggAACCCBQpQWCwcKPP/44ocWsWbPM+++/b5R15zLmFDhzmWcKOCmAF68E51SMrhfMwHRDsqPr6LX2xcr807BprUavMm/ePD870m4I+UMrtGsRnUWLFvnDwEOqpb0pGACNd+06gWyVjdnBm0Pz97//fblzahi8K88++6xR5uKMGTPsJmWIBv1cvWQfXfBs165ddkh6sse5erpON03A/Pnz/feH2x/9qDpuvtSgkQKXLnP5gw8+MPGyIRX8i/W+1fy0rkybNs09DX187733QrdrYzY+I4cccogf1P7kk0/i2uhz5YbOx+xUYEcwYO3uYWA3TxFAAAEEEECgAgQIgFYAOqdEAAEEEEAAAQRiCWi1blfuu+8+s23bNvey3KOCjsoQ1THKaHPZdap48skn2/rK6HML8pRrwNug1crdCu1h+90waO1TQDJWeemll/yFjsLquOtSn//85z+HVfG3PfDAA+aUU04x3bt3L7e6ul8pgycDBw70A4M6V7wpADSXpwLIygDs3LlzubOeeOKJxs0j+u9//9u8+OKLfhAx3dXf3UmCwbNkhp6749yj5tk89NBD7Utlp06aNMntCn284447/O1nnXWW/1xD1c877zz7Wpmk8d5P8ozV10suucRoETCVX//61zEDqQr4/uY3v7H1wv5w7yXtS/czouzd448/3jav4Oa//vWvsFPZbXKLdU1hBwXrBqcPCKvLNgQQQAABBBDIjwAB0Pw4cxYEEEAAAQQQQCApgcGDB5tzzjnH1lXw8oYbboiZwfmjH/3Iz7ocNmyY6dmzp38OBZDcEGatYB821FtzH/70pz/1jwl70rdvX3+zgluffvqp/9o90fDvSy+91L0MfVR/XPDr1ltvNQsWLAitpyDr7bff7u/7/ve/7z/P1hMNvXZzc8rld7/7XWjTCgzffffddp/mnXRB5WBlXdOFF15oNylb9MEHH7TP+/TpY/r16xesmvJzN6erDlTb6ZS77rrLP+x//ud/Yi5ApUC4C5DWrl3bjBkzxj9OTzTXppsG4JZbbjFTp04ts18vlLWrexurKKB9wQUX2N2yvfzyy42CncGioePydEPxg/vc82x9Rq699lrXpP0cfPXVV/5r90Rz6P7sZz9zL5N6DN6rI488MqljqIQAAggggAACORbwhnRQEEAAAQQQQAABBEIEvGHPWoLa/niBv5AayW/y5oO07XgLFCU8yJuTMFKvXj3/3F4gLPLWW29FvDk2I97w48jcuXMjXoDK36+63tDkcu16AVK/jjcsPvLMM89EvOG5ES+rNPLqq69GvGHO/n53neUa8TZ4c5H69bzgYeRPf/pTxBs6Hnn77bcjXgA1orZ1vJft5tcLa+e6667z93vDyiNe4DHiZSZGvGHXEW/l+sjDDz8c8bIe/Tpnn312uWbkp3PJM17xhqH77Vx11VXlqnoBtoiX2ejX8QKiEW/odsTLBo14geGIN49nxJ1L53vsscfKteE2eEFbvx3n6AUe3e60H72h2X67YdfgGvaG5vv1vMWY3Gb/UY6uX3J7/PHHI94cnP57Se8Tb6i8X+eee+7xjw0++fGPf+zX8YKhEW+Iv30v/OEPf4h4QXu/De1z54v+3CxdutR/v6iO3k9qV/feW0Qq4mXZ2mODbXjZp8Fu2OfZ+ox4c7j6ffVWeo940xjY+6/PmpfNG3F/BzgfL+Bdri/RG9RfXZuOWb16dfRuXiOAAAIIIIBABQhovhsKAggggAACCCCAQIiAC34omBEdyAmpHndTKgFQNfTGG29E2rVr5wdnXEAlGBjSNm+OyYg3TDv03N58jBFvwaFybSiIo2P1c8QRR/hBHr0OK96iTBFvKLx/jDs2+OgNabbBULctrB0vuy9yxRVXlGvHy1Qtt83LaI142YHlmnFByUwDoGr49ddfLxO0Vd/l6a7BPV5//fXl+hG9QUFqV1/3aN26ddFV0nrtAoK9evWKeXyiAKiC3qNHj/b7F+yne65Hb57PiJctHPM82qHgd/R70LWh95WC2t70Bf65FGiNLto2YMAAv4473j16WceRp556yt/vZRdHN2FfZ+MzokDn0KFD/XM5B1m4/njTTETOPfdc+1rXnqi496g31UKiquxHAAEEEEAAgTwJMATe+2ZDQQABBBBAAAEECk3ghBNOMFqU5sorrzSar1DF+37oz5vohl5rKLnmywwrGgKv+Ta9zE/TsWNHW0VtaE5LDenWEGQvs9RfoCisDW3zAkR2YZtjjz3WH8au7VpgR8PJH3roIaNh0Xodr+icGkY/efJk07t3b7+t4BycmmfTywY0mntTQ7FzWTRtgBZlOv/8843muVQJrnSvKQXUVzcMPl5fgoshaV5WLUSVjTJixAjbjO5z2DQGyZyjWbNm5p///KcZP368ncfU3Se3mJHeSzqPl9Frfv7zn8dt0svitfU0NYPeD1otXgsKaX5PvZe8LM4yhtofXbwAoXnnnXesq+YW1YJLTZs2tVMM/OpXvzJaAEl1XAlrQ/uy8RnRHLcvv/yy0fynLVq0sKfUQlD60fv14osvNlrcysuydt2J+6gFldx9OuOMM+LWZScCCCCAAAII5E+gmgKt+TsdZ0IAAQQQQAABBBBIR0BzIiogun37dtOpUyf741Z6T7Y9zXH44YcfGi970ngZeP6cjpqrcvbs2baZRF8NtYiRVp7X3Ihe9qhRcC3dovkfNaeoVmLXSvG6LgW+3Irj6babznG6bs1LqYCogmIK7AYXIUrU5pNPPunPb6kFdYKLCCU6Nt5+zYmqQKwCcr/85S9Tno8yrG0trKX3kpeJaRdw0qrq8s9WGTRokJk5c6YNcCug7AKuqbSvRbVOP/10e4jmsE0UmFXFTD8jWsFegWZvmL7xsr/tAlJexmcq3TY33nijDewqeK/3E4sgpcRHZQQQQAABBHImQAA0Z7Q0jAACCCCAAAIIVA6BVAKgleOK8t9LrQbvTRVgMz8VWPSG0metE8qSnDBhgg3KKaiWTkAx087ceeedNjDsDcW3mZ+x2tu6davxpm4w3tByG0RWRqQrCr57c88aBVyHDBkSN0tWQU8tvKSia/eGoNvnhfyHMpnbtGljvCkHzDXXXGPuvffeQu4ufUMAAQQQQKBKCTAEvkrdbi4WAQQQQAABBBBAINsC/7+9O9alrQnDADyJRqNQKTVqLZ2LUKHQ0Glcg0IUWgWFhIJEp3ALamoFlei1kn+/k2zZEc5/5Mx2hvNMw96WWbOe6d6s+b6EfIN6lHXaHJluGX5m0kGjqRp63t/fv96n9TP833w5sp6u6UtLS/Xtzo+uzxH4hJ8ZCYXfjrzJmUB3Y2Pj7Z9eP9/d3ZW9vb36OW8DpwTDdxiXl5c1/Mz+DxpLfYclWyMBAgQIEPhnBASg/8xWe1ACBAgQIECAAIEWAoOO9eXh4aEGfYNGSiU1P3OEPjVXUyOz9Ui91EEn9zpt3sT8GyMlE4Yjx7xTKmB05PlPT0/L0dFR/TohYMLg0ZGj/JOTk/WrQYf1cnx8/BqWDq97fHys/5dSCxkpJfAnZRaG8477Z55/GNqmHurs7Oy4b2l+AgQIECBA4BMCjsB/AsulBAgQIECAAIGfKOAI/Od2NW9DpgHQ27G/v1/SHGgcY9BVvjYbSu3VNIj6qPHVOO6dOVN7NjVfR4PP1EiNQ2q55vsczx+OQWf6Wg9z+Hn48+TkpKyvrw8/1jq0CwsLtUlXSgdcX1+XYVOs1OEc1qx9/YdOfzk/Py8rKyu1hm3qq37UuKnT5VsWAQIECBD48QIC0B+/xR6QAAECBAgQIPBrAQHor33e/jVvfyacGx2bm5vl8PBw9Kvmv5+dnZXV1dUyPz9fG1F9dbOoPPfW1lbJ25sfjZmZmVr7cnl5+aNLysHBQW3o9PT09O41qXGa/4/n9PT0u9f09GUC2zTNSgD8N8LpniyshQABAgQI9CogAO11Z6yLAAECBAgQIPBFAldXVyXHujPW1ta+6K7f9zYvLy9ld3e33Nzc1M71eRszb0JOTEyM/aG2t7drB/ednZ2yuLg49vu9d4Pb29sa9CUQzVubU1NTtflP6oPG4nc6p+et0YuLi5L6qZnn+fm55I3Subm52vDoOx0hT/OrHH/PfmRfDAIECBAgQKA/AQFof3tiRQQIECBAgAABAgQIECBAgAABAgQINBLQBKkRpGkIECBAgAABAgQIECBAgAABAgQIEOhPQADa355YEQECBAgQIECAAAECBAgQIECAAAECjQQEoI0gTUOAAAECBAgQIECAAAECBAgQIECAQH8CAtD+9sSKCBAgQIAAAQIECBAgQIAAAQIECBBoJCAAbQRpGgIECBAgQIAAAQIECBAgQIAAAQIE+hMQgPa3J1ZEgAABAgQIECBAgAABAgQIECBAgEAjAQFoI0jTECBAgAABAgQIECBAgAABAgQIECDQn4AAtL89sSICBAgQIECAAAECBAgQIECAAAECBBoJCEAbQZqGAAECBAgQIECAAAECBAgQIECAAIH+BASg/e2JFREgQIAAAQIECBAgQIAAAQIECBAg0EhAANoI0jQECBAgQIAAAQIECBAgQIAAAQIECPQnIADtb0+siAABAgQIECBAgAABAgQIECBAgACBRgIC0EaQpiFAgAABAgQIECBAgAABAgQIECBAoD8BAWh/e2JFBAgQIECAAAECBAgQIECAAAECBAg0EhCANoI0DQECBAgQIECAAAECBAgQIECAAAEC/QkIQPvbEysiQIAAAQIECBAgQIAAAQIECBAgQKCRgAC0EaRpCBAgQIAAAQIECBAgQIAAAQIECBDoT0AA2t+eWBEBAgQIECBAgAABAgQIECBAgAABAo0EBKCNIE1DgAABAgQIECBAgAABAgQIECBAgEB/AgLQ/vbEiggQIECAAAECBAgQIECAAAECBAgQaCTwH5EpM7ifokW7AAAAAElFTkSuQmCC" title="plot of chunk unnamed-chunk-16" alt="plot of chunk unnamed-chunk-16" width="672" /></p>
</div>
<div id="question-2-1" class="section level4">
<h4>Question 2:</h4>
<p>Calculating new sums by the recoded event type variable.</p>
<pre class="r"><code>fn <- function(x) sum(x)
test1 <- ddply(damage_graph, c("EVTYPE", "Category"),transform, sum=fn(sum), na.rm=TRUE)</code></pre>
<p>Remove duplicates and NAs</p>
<pre class="r"><code>damage_graph1 <- unique(test1[duplicated(test1),])
damage_graph1 <-damage_graph1[complete.cases(damage_graph1), ]</code></pre>
<p>Taking log of the sum because the sums for hurricane and flood are many times higher than the rest of events, causing a highly screwed distribtuion.</p>
<pre class="r"><code>damage_graph1$sum1 <- log(damage_graph1$sum)</code></pre>
<p>Create graph for property and crop damage.</p>
<pre class="r"><code>library(ggplot2)
ggplot(data=damage_graph1, aes(reorder(EVTYPE, sum1), y=sum1, fill = Category)) +
geom_bar(stat ="identity") + coord_flip() +
theme(axis.text.x=element_text(angle=90)) +
ggtitle("Most Damage to Economy by Event Type") +
labs(y = 'Dollars (logged)', x = 'Event') </code></pre>
<p><img 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