├── README.md ├── mars_weather.csv ├── part_1_mars_news.ipynb └── part_2_mars_weather.ipynb /README.md: -------------------------------------------------------------------------------- 1 | ### Background 2 | Scraping and analyzing websites with Mars news and weather facts. 3 | 4 | 5 | ### Deliverable 1: 6 | Extracting titles and preview text from Mars news articles through automated browsing of the Mars news site. 7 | 8 | ### Deliverable 2: 9 | Extracting and analyzing Mars weather data by converting the HTML table into a Pandas DataFrame. The analysis will include answering questions such as the number of months and Martian days' worth of data, identifying the months with the highest and lowest temperatures and atmospheric pressures on average, and determining the number of terrestrial days in a Martian year. The deliverable will also include relevant data and visualizations to answer these questions and a CSV file with the data. 10 | 11 | ### Answers to the following questions: 12 | 13 | How many months exist on Mars? 12 14 | 15 | How many Martian days' worth of data are there? 1977 16 | 17 | ### Data and visualizations to answer the following questions: 18 | 19 | Which month, on average, has the lowest temperature? The highest? Highest 8, lowest 3 20 | 21 | Which month, on average, has the lowest atmospheric pressure? The highest? Highest 9, lowest 6 22 | 23 | How many terrestrial days exist in a Martian year? approximately 700. 24 | 25 | 26 | 27 | -------------------------------------------------------------------------------- /mars_weather.csv: -------------------------------------------------------------------------------- 1 | ,id,terrestrial_date,sol,ls,month,min_temp,pressure 2 | 0,2,2012-08-16,10.0,155.0,6,-75.0,739.0 3 | 1,13,2012-08-17,11.0,156.0,6,-76.0,740.0 4 | 2,24,2012-08-18,12.0,156.0,6,-76.0,741.0 5 | 3,35,2012-08-19,13.0,157.0,6,-74.0,732.0 6 | 4,46,2012-08-20,14.0,157.0,6,-74.0,740.0 7 | 5,57,2012-08-21,15.0,158.0,6,-78.0,740.0 8 | 6,68,2012-08-22,16.0,158.0,6,-77.0,740.0 9 | 7,79,2012-08-23,17.0,159.0,6,-76.0,742.0 10 | 8,112,2012-08-27,21.0,161.0,6,-74.0,741.0 11 | 9,114,2012-08-28,22.0,162.0,6,-74.0,742.0 12 | 10,123,2012-08-29,23.0,162.0,6,-75.0,741.0 13 | 11,134,2012-08-30,24.0,163.0,6,-75.0,742.0 14 | 12,145,2012-08-31,25.0,163.0,6,-75.0,743.0 15 | 13,156,2012-09-01,26.0,164.0,6,-76.0,745.0 16 | 14,163,2012-09-02,27.0,164.0,6,-75.0,743.0 17 | 15,170,2012-09-03,28.0,165.0,6,-75.0,745.0 18 | 16,171,2012-09-04,29.0,166.0,6,-75.0,747.0 19 | 17,172,2012-09-05,30.0,166.0,6,-74.0,747.0 20 | 18,173,2012-09-06,31.0,167.0,6,-74.0,745.0 21 | 19,175,2012-09-08,33.0,168.0,6,-73.0,748.0 22 | 20,176,2012-09-10,34.0,168.0,6,-73.0,748.0 23 | 21,177,2012-09-11,35.0,169.0,6,-73.0,749.0 24 | 22,178,2012-09-12,36.0,169.0,6,-73.0,750.0 25 | 23,179,2012-09-13,37.0,170.0,6,-73.0,750.0 26 | 24,180,2012-09-14,38.0,171.0,6,-73.0,750.0 27 | 25,181,2012-09-15,39.0,171.0,6,-75.0,751.0 28 | 26,182,2012-09-16,40.0,172.0,6,-75.0,753.0 29 | 27,183,2012-09-17,41.0,172.0,6,-75.0,753.0 30 | 28,184,2012-09-18,42.0,173.0,6,-75.0,754.0 31 | 29,185,2012-09-19,43.0,173.0,6,-74.0,756.0 32 | 30,186,2012-09-20,44.0,174.0,6,-75.0,757.0 33 | 31,187,2012-09-21,45.0,175.0,6,-74.0,758.0 34 | 32,188,2012-09-22,46.0,175.0,6,-74.0,758.0 35 | 33,189,2012-09-23,47.0,176.0,6,-75.0,758.0 36 | 34,190,2012-09-24,48.0,176.0,6,-75.0,759.0 37 | 35,191,2012-09-25,49.0,177.0,6,-74.0,761.0 38 | 36,192,2012-09-26,50.0,177.0,6,-72.0,761.0 39 | 37,193,2012-09-27,51.0,178.0,6,-76.0,762.0 40 | 38,194,2012-09-28,52.0,179.0,6,-74.0,762.0 41 | 39,195,2012-09-29,53.0,179.0,6,-71.0,764.0 42 | 40,196,2012-09-30,54.0,180.0,7,-72.0,766.0 43 | 41,197,2012-10-01,55.0,180.0,7,-74.0,766.0 44 | 42,198,2012-10-02,56.0,181.0,7,-73.0,768.0 45 | 43,199,2012-10-03,57.0,181.0,7,-73.0,769.0 46 | 44,200,2012-10-04,58.0,182.0,7,-74.0,769.0 47 | 45,201,2012-10-05,59.0,183.0,7,-76.0,771.0 48 | 46,202,2012-10-06,60.0,183.0,7,-75.0,772.0 49 | 47,203,2012-10-07,61.0,184.0,7,-72.0,772.0 50 | 48,204,2012-10-08,62.0,184.0,7,-72.0,774.0 51 | 49,205,2012-10-09,63.0,185.0,7,-73.0,775.0 52 | 50,206,2012-10-10,64.0,186.0,7,-74.0,776.0 53 | 51,207,2012-10-11,65.0,186.0,7,-72.0,777.0 54 | 52,208,2012-10-12,66.0,187.0,7,-73.0,778.0 55 | 53,209,2012-10-13,67.0,187.0,7,-73.0,780.0 56 | 54,210,2012-10-14,68.0,188.0,7,-71.0,781.0 57 | 55,211,2012-10-15,69.0,189.0,7,-73.0,778.0 58 | 56,212,2012-10-17,70.0,189.0,7,-72.0,783.0 59 | 57,213,2012-10-18,71.0,190.0,7,-71.0,784.0 60 | 58,214,2012-10-19,72.0,190.0,7,-73.0,785.0 61 | 59,215,2012-10-20,73.0,191.0,7,-70.0,788.0 62 | 60,216,2012-10-21,74.0,192.0,7,-72.0,790.0 63 | 61,217,2012-10-22,75.0,192.0,7,-73.0,791.0 64 | 62,218,2012-10-23,76.0,193.0,7,-73.0,792.0 65 | 63,219,2012-10-24,77.0,193.0,7,-71.0,792.0 66 | 64,220,2012-10-25,78.0,194.0,7,-71.0,793.0 67 | 65,221,2012-10-26,79.0,195.0,7,-73.0,795.0 68 | 66,222,2012-10-27,80.0,195.0,7,-70.0,796.0 69 | 67,223,2012-10-28,81.0,196.0,7,-72.0,798.0 70 | 68,224,2012-10-29,82.0,196.0,7,-72.0,799.0 71 | 69,225,2012-10-30,83.0,197.0,7,-72.0,801.0 72 | 70,226,2012-10-31,84.0,198.0,7,-70.0,801.0 73 | 71,227,2012-11-01,85.0,198.0,7,-71.0,805.0 74 | 72,228,2012-11-02,86.0,199.0,7,-71.0,808.0 75 | 73,229,2012-11-03,87.0,199.0,7,-70.0,808.0 76 | 74,230,2012-11-04,88.0,200.0,7,-70.0,811.0 77 | 75,231,2012-11-05,89.0,201.0,7,-73.0,813.0 78 | 76,233,2012-11-06,90.0,201.0,7,-71.0,813.0 79 | 77,234,2012-11-07,91.0,202.0,7,-74.0,817.0 80 | 78,235,2012-11-08,92.0,202.0,7,-74.0,820.0 81 | 79,236,2012-11-09,93.0,203.0,7,-72.0,819.0 82 | 80,237,2012-11-10,94.0,204.0,7,-70.0,822.0 83 | 81,238,2012-11-11,95.0,204.0,7,-68.0,822.0 84 | 82,239,2012-11-12,96.0,205.0,7,-71.0,826.0 85 | 83,240,2012-11-13,97.0,206.0,7,-68.0,828.0 86 | 84,241,2012-11-14,98.0,206.0,7,-68.0,828.0 87 | 85,242,2012-11-15,99.0,207.0,7,-68.0,829.0 88 | 86,3,2012-11-16,100.0,207.0,7,-66.0,829.0 89 | 87,4,2012-11-17,101.0,208.0,7,-65.0,830.0 90 | 88,5,2012-11-18,102.0,209.0,7,-67.0,833.0 91 | 89,6,2012-11-19,103.0,209.0,7,-66.0,836.0 92 | 90,7,2012-11-20,104.0,210.0,8,-67.0,838.0 93 | 91,8,2012-11-21,105.0,211.0,8,-66.0,839.0 94 | 92,9,2012-11-23,106.0,211.0,8,-66.0,841.0 95 | 93,10,2012-11-24,107.0,212.0,8,-66.0,844.0 96 | 94,11,2012-11-25,108.0,212.0,8,-65.0,845.0 97 | 95,12,2012-11-26,109.0,213.0,8,-64.0,844.0 98 | 96,14,2012-11-27,110.0,214.0,8,-65.0,848.0 99 | 97,15,2012-11-28,111.0,214.0,8,-66.0,849.0 100 | 98,16,2012-11-29,112.0,215.0,8,-65.0,852.0 101 | 99,17,2012-11-30,113.0,216.0,8,-66.0,857.0 102 | 100,18,2012-12-01,114.0,216.0,8,-69.0,857.0 103 | 101,19,2012-12-02,115.0,217.0,8,-66.0,857.0 104 | 102,20,2012-12-03,116.0,217.0,8,-67.0,859.0 105 | 103,21,2012-12-04,117.0,218.0,8,-66.0,861.0 106 | 104,22,2012-12-05,118.0,219.0,8,-65.0,864.0 107 | 105,23,2012-12-06,119.0,219.0,8,-66.0,866.0 108 | 106,25,2012-12-07,120.0,220.0,8,-67.0,867.0 109 | 107,26,2012-12-08,121.0,221.0,8,-66.0,869.0 110 | 108,27,2012-12-09,122.0,221.0,8,-65.0,869.0 111 | 109,28,2012-12-10,123.0,222.0,8,-66.0,875.0 112 | 110,29,2012-12-11,124.0,223.0,8,-66.0,876.0 113 | 111,30,2012-12-12,125.0,223.0,8,-68.0,880.0 114 | 112,31,2012-12-13,126.0,224.0,8,-66.0,880.0 115 | 113,32,2012-12-14,127.0,224.0,8,-67.0,884.0 116 | 114,33,2012-12-15,128.0,225.0,8,-67.0,883.0 117 | 115,34,2012-12-16,129.0,226.0,8,-65.0,886.0 118 | 116,36,2012-12-17,130.0,226.0,8,-65.0,888.0 119 | 117,37,2012-12-18,131.0,227.0,8,-65.0,889.0 120 | 118,38,2012-12-19,132.0,228.0,8,-65.0,890.0 121 | 119,39,2012-12-20,133.0,228.0,8,-65.0,891.0 122 | 120,40,2012-12-21,134.0,229.0,8,-67.0,893.0 123 | 121,41,2012-12-22,135.0,230.0,8,-65.0,894.0 124 | 122,42,2012-12-23,136.0,230.0,8,-65.0,897.0 125 | 123,43,2012-12-24,137.0,231.0,8,-64.0,896.0 126 | 124,44,2012-12-25,138.0,232.0,8,-65.0,899.0 127 | 125,45,2012-12-26,139.0,232.0,8,-66.0,899.0 128 | 126,47,2012-12-27,140.0,233.0,8,-66.0,903.0 129 | 127,48,2012-12-28,141.0,233.0,8,-64.0,904.0 130 | 128,49,2012-12-29,142.0,234.0,8,-65.0,906.0 131 | 129,50,2012-12-31,143.0,235.0,8,-63.0,908.0 132 | 130,51,2013-01-01,144.0,235.0,8,-64.0,907.0 133 | 131,52,2013-01-02,145.0,236.0,8,-64.0,909.0 134 | 132,53,2013-01-03,146.0,237.0,8,-65.0,908.0 135 | 133,54,2013-01-04,147.0,237.0,8,-65.0,914.0 136 | 134,55,2013-01-05,148.0,238.0,8,-65.0,912.0 137 | 135,56,2013-01-06,149.0,239.0,8,-65.0,914.0 138 | 136,58,2013-01-07,150.0,239.0,8,-64.0,913.0 139 | 137,59,2013-01-08,151.0,240.0,9,-65.0,915.0 140 | 138,60,2013-01-09,152.0,241.0,9,-63.0,914.0 141 | 139,61,2013-01-10,153.0,241.0,9,-65.0,915.0 142 | 140,62,2013-01-11,154.0,242.0,9,-65.0,917.0 143 | 141,63,2013-01-12,155.0,243.0,9,-64.0,917.0 144 | 142,64,2013-01-13,156.0,243.0,9,-65.0,922.0 145 | 143,65,2013-01-14,157.0,244.0,9,-64.0,920.0 146 | 144,66,2013-01-15,158.0,245.0,9,-66.0,922.0 147 | 145,67,2013-01-16,159.0,245.0,9,-65.0,918.0 148 | 146,69,2013-01-17,160.0,246.0,9,-67.0,919.0 149 | 147,70,2013-01-18,161.0,246.0,9,-65.0,919.0 150 | 148,71,2013-01-19,162.0,247.0,9,-65.0,919.0 151 | 149,72,2013-01-20,163.0,248.0,9,-65.0,919.0 152 | 150,73,2013-01-21,164.0,248.0,9,-64.0,919.0 153 | 151,74,2013-01-22,165.0,249.0,9,-65.0,922.0 154 | 152,75,2013-01-23,166.0,250.0,9,-65.0,922.0 155 | 153,76,2013-01-24,167.0,250.0,9,-65.0,920.0 156 | 154,77,2013-01-25,168.0,251.0,9,-66.0,923.0 157 | 155,78,2013-01-26,169.0,252.0,9,-66.0,922.0 158 | 156,80,2013-01-27,170.0,252.0,9,-66.0,925.0 159 | 157,81,2013-01-28,171.0,253.0,9,-67.0,925.0 160 | 158,82,2013-01-29,172.0,254.0,9,-67.0,923.0 161 | 159,83,2013-01-30,173.0,254.0,9,-67.0,920.0 162 | 160,84,2013-01-31,174.0,255.0,9,-67.0,921.0 163 | 161,85,2013-02-01,175.0,256.0,9,-68.0,921.0 164 | 162,86,2013-02-02,176.0,256.0,9,-67.0,920.0 165 | 163,87,2013-02-03,177.0,257.0,9,-66.0,921.0 166 | 164,88,2013-02-04,178.0,258.0,9,-66.0,920.0 167 | 165,89,2013-02-06,179.0,258.0,9,-66.0,920.0 168 | 166,91,2013-02-07,180.0,259.0,9,-67.0,919.0 169 | 167,92,2013-02-08,181.0,260.0,9,-67.0,918.0 170 | 168,93,2013-02-09,182.0,260.0,9,-67.0,921.0 171 | 169,94,2013-02-10,183.0,261.0,9,-67.0,921.0 172 | 170,95,2013-02-11,184.0,261.0,9,-67.0,923.0 173 | 171,96,2013-02-12,185.0,262.0,9,-67.0,923.0 174 | 172,97,2013-02-13,186.0,263.0,9,-66.0,922.0 175 | 173,98,2013-02-14,187.0,263.0,9,-67.0,921.0 176 | 174,99,2013-02-15,188.0,264.0,9,-68.0,920.0 177 | 175,100,2013-02-16,189.0,265.0,9,-68.0,920.0 178 | 176,102,2013-02-17,190.0,265.0,9,-66.0,917.0 179 | 177,103,2013-02-18,191.0,266.0,9,-67.0,921.0 180 | 178,106,2013-02-23,196.0,269.0,9,-66.0,916.0 181 | 179,107,2013-02-24,197.0,270.0,10,-68.0,915.0 182 | 180,108,2013-02-25,198.0,271.0,10,-67.0,914.0 183 | 181,109,2013-02-26,199.0,271.0,10,-66.0,917.0 184 | 182,116,2013-03-23,223.0,287.0,10,-71.0,895.0 185 | 183,117,2013-03-24,224.0,287.0,10,-69.0,894.0 186 | 184,118,2013-03-25,225.0,288.0,10,-71.0,894.0 187 | 185,119,2013-03-26,226.0,288.0,10,-70.0,894.0 188 | 186,120,2013-03-27,227.0,289.0,10,-70.0,892.0 189 | 187,121,2013-03-28,228.0,290.0,10,-71.0,894.0 190 | 188,122,2013-03-29,229.0,290.0,10,-69.0,894.0 191 | 189,124,2013-03-30,230.0,291.0,10,-69.0,888.0 192 | 190,125,2013-03-31,231.0,292.0,10,-71.0,890.0 193 | 191,126,2013-04-01,232.0,292.0,10,-69.0,888.0 194 | 192,127,2013-04-02,233.0,293.0,10,-69.0,889.0 195 | 193,128,2013-04-03,234.0,293.0,10,-69.0,890.0 196 | 194,129,2013-04-04,235.0,294.0,10,-70.0,886.0 197 | 195,130,2013-04-05,236.0,295.0,10,-72.0,886.0 198 | 196,131,2013-04-06,237.0,295.0,10,-71.0,883.0 199 | 197,132,2013-04-07,238.0,296.0,10,-70.0,885.0 200 | 198,133,2013-04-08,239.0,297.0,10,-73.0,885.0 201 | 199,135,2013-04-09,240.0,297.0,10,-70.0,884.0 202 | 200,136,2013-04-10,241.0,298.0,10,-72.0,884.0 203 | 201,137,2013-04-11,242.0,298.0,10,-70.0,881.0 204 | 202,138,2013-04-12,243.0,299.0,10,-71.0,884.0 205 | 203,139,2013-04-13,244.0,300.0,11,-69.0,878.0 206 | 204,140,2013-04-14,245.0,300.0,11,-70.0,879.0 207 | 205,141,2013-04-15,246.0,301.0,11,-73.0,878.0 208 | 206,142,2013-04-16,247.0,301.0,11,-71.0,873.0 209 | 207,143,2013-04-17,248.0,302.0,11,-70.0,877.0 210 | 208,144,2013-04-18,249.0,303.0,11,-69.0,873.0 211 | 209,146,2013-04-19,250.0,303.0,11,-70.0,877.0 212 | 210,147,2013-04-20,251.0,304.0,11,-71.0,876.0 213 | 211,148,2013-04-22,252.0,304.0,11,-71.0,874.0 214 | 212,149,2013-04-23,253.0,305.0,11,-71.0,877.0 215 | 213,150,2013-04-24,254.0,306.0,11,-70.0,871.0 216 | 214,151,2013-04-25,255.0,306.0,11,-69.0,877.0 217 | 215,152,2013-04-26,256.0,307.0,11,-70.0,871.0 218 | 216,153,2013-04-27,257.0,308.0,11,-70.0,871.0 219 | 217,154,2013-04-28,258.0,308.0,11,-71.0,869.0 220 | 218,155,2013-04-29,259.0,309.0,11,-72.0,871.0 221 | 219,157,2013-04-30,260.0,309.0,11,-70.0,875.0 222 | 220,158,2013-05-01,261.0,310.0,11,-70.0,868.0 223 | 221,161,2013-05-08,268.0,314.0,11,-70.0,864.0 224 | 222,162,2013-05-09,269.0,315.0,11,-72.0,866.0 225 | 223,164,2013-05-10,270.0,315.0,11,-67.0,863.0 226 | 224,165,2013-05-11,271.0,316.0,11,-69.0,864.0 227 | 225,166,2013-05-12,272.0,316.0,11,-71.0,864.0 228 | 226,167,2013-05-13,273.0,317.0,11,-70.0,861.0 229 | 227,168,2013-05-14,274.0,318.0,11,-70.0,861.0 230 | 228,169,2013-05-15,275.0,318.0,11,-67.0,860.0 231 | 229,244,2013-05-16,276.0,319.0,11,-69.0,858.0 232 | 230,245,2013-05-17,277.0,319.0,11,-69.0,857.0 233 | 231,246,2013-05-18,278.0,320.0,11,-67.0,855.0 234 | 232,247,2013-05-19,279.0,321.0,11,-68.0,856.0 235 | 233,248,2013-05-20,280.0,321.0,11,-69.0,856.0 236 | 234,249,2013-05-21,281.0,322.0,11,-68.0,855.0 237 | 235,250,2013-05-22,282.0,322.0,11,-72.0,856.0 238 | 236,251,2013-05-23,283.0,323.0,11,-68.0,854.0 239 | 237,252,2013-05-24,284.0,323.0,11,-71.0,854.0 240 | 238,253,2013-05-25,285.0,324.0,11,-70.0,852.0 241 | 239,254,2013-05-26,286.0,325.0,11,-71.0,854.0 242 | 240,255,2013-05-27,287.0,325.0,11,-72.0,856.0 243 | 241,256,2013-05-29,288.0,326.0,11,-69.0,854.0 244 | 242,257,2013-05-30,289.0,326.0,11,-71.0,854.0 245 | 243,258,2013-05-31,290.0,327.0,11,-71.0,853.0 246 | 244,259,2013-06-01,291.0,327.0,11,-70.0,853.0 247 | 245,260,2013-06-02,292.0,328.0,11,-71.0,853.0 248 | 246,261,2013-06-03,293.0,329.0,11,-72.0,850.0 249 | 247,262,2013-06-04,294.0,329.0,11,-72.0,852.0 250 | 248,263,2013-06-05,295.0,330.0,12,-71.0,853.0 251 | 249,264,2013-06-06,296.0,330.0,12,-71.0,850.0 252 | 250,265,2013-06-07,297.0,331.0,12,-72.0,849.0 253 | 251,266,2013-06-08,298.0,331.0,12,-72.0,850.0 254 | 252,267,2013-06-09,299.0,332.0,12,-71.0,849.0 255 | 253,286,2013-06-10,300.0,333.0,12,-72.0,852.0 256 | 254,276,2013-06-11,301.0,333.0,12,-73.0,852.0 257 | 255,287,2013-06-12,302.0,334.0,12,-71.0,850.0 258 | 256,283,2013-06-13,303.0,334.0,12,-71.0,849.0 259 | 257,281,2013-06-14,304.0,335.0,12,-70.0,848.0 260 | 258,275,2013-06-15,305.0,335.0,12,-71.0,847.0 261 | 259,280,2013-06-16,306.0,336.0,12,-71.0,848.0 262 | 260,279,2013-06-17,307.0,336.0,12,-72.0,851.0 263 | 261,282,2013-06-18,308.0,337.0,12,-73.0,850.0 264 | 262,284,2013-06-19,309.0,338.0,12,-72.0,848.0 265 | 263,278,2013-06-20,310.0,338.0,12,-71.0,849.0 266 | 264,277,2013-06-21,311.0,339.0,12,-74.0,846.0 267 | 265,285,2013-06-22,312.0,339.0,12,-71.0,845.0 268 | 266,274,2013-06-23,313.0,340.0,12,-77.0,849.0 269 | 267,272,2013-06-24,314.0,340.0,12,-73.0,848.0 270 | 268,273,2013-06-25,315.0,341.0,12,-74.0,850.0 271 | 269,288,2013-06-26,316.0,341.0,12,-74.0,851.0 272 | 270,268,2013-06-27,317.0,342.0,12,-72.0,849.0 273 | 271,270,2013-06-28,318.0,342.0,12,-74.0,849.0 274 | 272,271,2013-06-29,319.0,343.0,12,-73.0,847.0 275 | 273,269,2013-06-30,320.0,344.0,12,-74.0,846.0 276 | 274,289,2013-07-01,321.0,344.0,12,-75.0,847.0 277 | 275,291,2013-07-02,322.0,345.0,12,-74.0,849.0 278 | 276,290,2013-07-03,323.0,345.0,12,-74.0,847.0 279 | 277,292,2013-07-04,324.0,346.0,12,-75.0,850.0 280 | 278,294,2013-07-06,325.0,346.0,12,-74.0,847.0 281 | 279,295,2013-07-07,326.0,347.0,12,-72.0,848.0 282 | 280,296,2013-07-08,327.0,347.0,12,-74.0,848.0 283 | 281,293,2013-07-09,328.0,348.0,12,-75.0,847.0 284 | 282,298,2013-07-10,329.0,348.0,12,-74.0,847.0 285 | 283,297,2013-07-11,330.0,349.0,12,-75.0,848.0 286 | 284,303,2013-07-12,331.0,349.0,12,-74.0,848.0 287 | 285,300,2013-07-13,332.0,350.0,12,-76.0,849.0 288 | 286,299,2013-07-14,333.0,350.0,12,-75.0,849.0 289 | 287,301,2013-07-15,334.0,351.0,12,-74.0,852.0 290 | 288,302,2013-07-16,335.0,352.0,12,-76.0,852.0 291 | 289,305,2013-07-17,336.0,352.0,12,-76.0,852.0 292 | 290,304,2013-07-18,337.0,353.0,12,-75.0,853.0 293 | 291,306,2013-07-19,338.0,353.0,12,-78.0,848.0 294 | 292,308,2013-07-20,339.0,354.0,12,-76.0,849.0 295 | 293,307,2013-07-21,340.0,354.0,12,-76.0,851.0 296 | 294,310,2013-07-22,341.0,355.0,12,-77.0,852.0 297 | 295,309,2013-07-23,342.0,355.0,12,-76.0,851.0 298 | 296,311,2013-07-24,343.0,356.0,12,-77.0,850.0 299 | 297,317,2013-07-25,344.0,356.0,12,-77.0,851.0 300 | 298,312,2013-07-26,345.0,357.0,12,-77.0,853.0 301 | 299,314,2013-07-27,346.0,357.0,12,-76.0,853.0 302 | 300,313,2013-07-28,347.0,358.0,12,-77.0,851.0 303 | 301,315,2013-07-29,348.0,358.0,12,-74.0,850.0 304 | 302,316,2013-07-30,349.0,359.0,12,-75.0,852.0 305 | 303,318,2013-07-31,350.0,359.0,12,-76.0,853.0 306 | 304,320,2013-08-01,351.0,0.0,1,-75.0,853.0 307 | 305,319,2013-08-02,352.0,0.0,1,-77.0,854.0 308 | 306,323,2013-08-03,353.0,1.0,1,-75.0,855.0 309 | 307,322,2013-08-04,354.0,1.0,1,-75.0,857.0 310 | 308,321,2013-08-05,355.0,2.0,1,-75.0,857.0 311 | 309,324,2013-08-06,356.0,2.0,1,-77.0,856.0 312 | 310,325,2013-08-07,357.0,3.0,1,-76.0,857.0 313 | 311,326,2013-08-17,366.0,7.0,1,-76.0,861.0 314 | 312,328,2013-08-18,367.0,8.0,1,-76.0,862.0 315 | 313,330,2013-08-19,368.0,8.0,1,-77.0,863.0 316 | 314,331,2013-08-20,369.0,9.0,1,-75.0,865.0 317 | 315,332,2013-08-21,370.0,9.0,1,-79.0,865.0 318 | 316,333,2013-08-22,371.0,10.0,1,-77.0,865.0 319 | 317,334,2013-08-23,372.0,10.0,1,-76.0,866.0 320 | 318,335,2013-08-24,373.0,11.0,1,-79.0,866.0 321 | 319,337,2013-08-25,374.0,11.0,1,-79.0,866.0 322 | 320,336,2013-08-26,375.0,12.0,1,-77.0,867.0 323 | 321,340,2013-08-27,376.0,12.0,1,-78.0,870.0 324 | 322,338,2013-08-28,377.0,13.0,1,-78.0,870.0 325 | 323,339,2013-08-29,378.0,13.0,1,-78.0,869.0 326 | 324,341,2013-08-30,379.0,14.0,1,-79.0,870.0 327 | 325,343,2013-08-31,380.0,14.0,1,-79.0,870.0 328 | 326,345,2013-09-01,381.0,15.0,1,-79.0,871.0 329 | 327,344,2013-09-02,382.0,15.0,1,-76.0,872.0 330 | 328,342,2013-09-03,383.0,16.0,1,-77.0,874.0 331 | 329,346,2013-09-04,384.0,16.0,1,-77.0,875.0 332 | 330,351,2013-09-05,385.0,17.0,1,-78.0,874.0 333 | 331,347,2013-09-06,386.0,17.0,1,-77.0,873.0 334 | 332,349,2013-09-07,387.0,18.0,1,-78.0,874.0 335 | 333,350,2013-09-08,388.0,18.0,1,-79.0,875.0 336 | 334,348,2013-09-09,389.0,19.0,1,-79.0,875.0 337 | 335,352,2013-09-10,390.0,19.0,1,-78.0,875.0 338 | 336,353,2013-09-11,391.0,20.0,1,-78.0,875.0 339 | 337,354,2013-09-12,392.0,20.0,1,-77.0,876.0 340 | 338,355,2013-09-13,393.0,21.0,1,-76.0,877.0 341 | 339,356,2013-09-14,394.0,21.0,1,-79.0,878.0 342 | 340,357,2013-09-15,395.0,22.0,1,-77.0,878.0 343 | 341,358,2013-09-16,396.0,22.0,1,-78.0,879.0 344 | 342,359,2013-09-18,397.0,23.0,1,-75.0,880.0 345 | 343,360,2013-09-19,398.0,23.0,1,-79.0,880.0 346 | 344,361,2013-09-20,399.0,24.0,1,-79.0,881.0 347 | 345,363,2013-09-21,400.0,24.0,1,-79.0,881.0 348 | 346,362,2013-09-22,401.0,25.0,1,-79.0,882.0 349 | 347,365,2013-09-23,402.0,25.0,1,-78.0,883.0 350 | 348,364,2013-09-24,403.0,25.0,1,-80.0,883.0 351 | 349,367,2013-09-25,404.0,26.0,1,-78.0,884.0 352 | 350,366,2013-09-26,405.0,26.0,1,-82.0,885.0 353 | 351,374,2013-09-27,406.0,27.0,1,-81.0,886.0 354 | 352,370,2013-09-28,407.0,27.0,1,-81.0,887.0 355 | 353,369,2013-09-29,408.0,28.0,1,-80.0,887.0 356 | 354,368,2013-09-30,409.0,28.0,1,-81.0,887.0 357 | 355,373,2013-10-01,410.0,29.0,1,-81.0,888.0 358 | 356,372,2013-10-02,411.0,29.0,1,-82.0,887.0 359 | 357,371,2013-10-03,412.0,30.0,2,-80.0,888.0 360 | 358,376,2013-10-04,413.0,30.0,2,-82.0,888.0 361 | 359,375,2013-10-05,414.0,31.0,2,-79.0,889.0 362 | 360,377,2013-10-06,415.0,31.0,2,-82.0,890.0 363 | 361,378,2013-10-07,416.0,32.0,2,-79.0,889.0 364 | 362,379,2013-10-08,417.0,32.0,2,-82.0,890.0 365 | 363,380,2013-10-09,418.0,33.0,2,-79.0,891.0 366 | 364,381,2013-10-10,419.0,33.0,2,-82.0,891.0 367 | 365,385,2013-10-11,420.0,33.0,2,-80.0,892.0 368 | 366,382,2013-10-12,421.0,34.0,2,-81.0,890.0 369 | 367,384,2013-10-13,422.0,34.0,2,-82.0,891.0 370 | 368,383,2013-10-14,423.0,35.0,2,-81.0,892.0 371 | 369,386,2013-10-15,424.0,35.0,2,-81.0,893.0 372 | 370,393,2013-10-16,425.0,36.0,2,-81.0,893.0 373 | 371,388,2013-10-17,426.0,36.0,2,-79.0,893.0 374 | 372,392,2013-10-18,427.0,37.0,2,-81.0,893.0 375 | 373,391,2013-10-19,428.0,37.0,2,-81.0,894.0 376 | 374,387,2013-10-20,429.0,38.0,2,-82.0,895.0 377 | 375,390,2013-10-21,430.0,38.0,2,-82.0,896.0 378 | 376,389,2013-10-22,431.0,39.0,2,-83.0,895.0 379 | 377,395,2013-10-23,432.0,39.0,2,-80.0,896.0 380 | 378,394,2013-10-24,433.0,40.0,2,-81.0,895.0 381 | 379,397,2013-10-26,434.0,40.0,2,-80.0,896.0 382 | 380,396,2013-10-27,435.0,40.0,2,-81.0,896.0 383 | 381,398,2013-10-28,436.0,41.0,2,-81.0,897.0 384 | 382,399,2013-10-29,437.0,41.0,2,-82.0,898.0 385 | 383,400,2013-10-30,438.0,42.0,2,-79.0,899.0 386 | 384,401,2013-10-31,439.0,42.0,2,-80.0,899.0 387 | 385,404,2013-11-01,440.0,43.0,2,-80.0,899.0 388 | 386,402,2013-11-02,441.0,43.0,2,-81.0,900.0 389 | 387,405,2013-11-03,442.0,44.0,2,-80.0,900.0 390 | 388,403,2013-11-04,443.0,44.0,2,-81.0,901.0 391 | 389,407,2013-11-16,455.0,50.0,2,-84.0,905.0 392 | 390,406,2013-11-17,456.0,50.0,2,-83.0,905.0 393 | 391,409,2013-11-24,463.0,53.0,2,-86.0,906.0 394 | 392,410,2013-11-25,464.0,54.0,2,-84.0,906.0 395 | 393,412,2013-11-26,465.0,54.0,2,-85.0,906.0 396 | 394,415,2013-11-27,466.0,55.0,2,-85.0,907.0 397 | 395,411,2013-11-28,467.0,55.0,2,-84.0,907.0 398 | 396,414,2013-11-29,468.0,55.0,2,-85.0,907.0 399 | 397,413,2013-11-30,469.0,56.0,2,-85.0,908.0 400 | 398,475,2013-12-02,470.0,56.0,2,-85.0,907.0 401 | 399,479,2013-12-03,471.0,57.0,2,-84.0,906.0 402 | 400,416,2013-12-04,472.0,57.0,2,-84.0,907.0 403 | 401,417,2013-12-05,473.0,58.0,2,-86.0,907.0 404 | 402,420,2013-12-06,474.0,58.0,2,-84.0,906.0 405 | 403,419,2013-12-07,475.0,59.0,2,-85.0,906.0 406 | 404,418,2013-12-08,476.0,59.0,2,-85.0,906.0 407 | 405,421,2013-12-09,477.0,60.0,3,-85.0,907.0 408 | 406,422,2013-12-18,486.0,64.0,3,-84.0,904.0 409 | 407,473,2013-12-19,487.0,64.0,3,-85.0,904.0 410 | 408,480,2013-12-20,488.0,64.0,3,-87.0,903.0 411 | 409,423,2013-12-21,489.0,65.0,3,-85.0,904.0 412 | 410,434,2013-12-22,490.0,65.0,3,-87.0,903.0 413 | 411,433,2013-12-23,491.0,66.0,3,-86.0,903.0 414 | 412,427,2013-12-24,492.0,66.0,3,-86.0,903.0 415 | 413,426,2013-12-25,493.0,67.0,3,-84.0,902.0 416 | 414,429,2013-12-26,494.0,67.0,3,-85.0,902.0 417 | 415,431,2013-12-27,495.0,68.0,3,-86.0,900.0 418 | 416,428,2013-12-28,496.0,68.0,3,-85.0,901.0 419 | 417,425,2013-12-29,497.0,69.0,3,-86.0,901.0 420 | 418,424,2013-12-30,498.0,69.0,3,-86.0,901.0 421 | 419,432,2013-12-31,499.0,69.0,3,-84.0,899.0 422 | 420,430,2014-01-01,500.0,70.0,3,-85.0,897.0 423 | 421,435,2014-01-02,501.0,70.0,3,-86.0,898.0 424 | 422,437,2014-01-03,502.0,71.0,3,-87.0,898.0 425 | 423,483,2014-01-04,503.0,71.0,3,-86.0,897.0 426 | 424,436,2014-01-05,504.0,72.0,3,-85.0,895.0 427 | 425,438,2014-01-06,505.0,72.0,3,-85.0,895.0 428 | 426,439,2014-01-08,506.0,73.0,3,-86.0,894.0 429 | 427,440,2014-01-09,507.0,73.0,3,-85.0,894.0 430 | 428,442,2014-01-10,508.0,73.0,3,-83.0,893.0 431 | 429,443,2014-01-11,509.0,74.0,3,-86.0,895.0 432 | 430,441,2014-01-12,510.0,74.0,3,-85.0,892.0 433 | 431,446,2014-01-13,511.0,75.0,3,-85.0,892.0 434 | 432,444,2014-01-14,512.0,75.0,3,-86.0,890.0 435 | 433,445,2014-01-15,513.0,76.0,3,-86.0,889.0 436 | 434,447,2014-01-16,514.0,76.0,3,-86.0,888.0 437 | 435,450,2014-01-17,515.0,77.0,3,-86.0,888.0 438 | 436,449,2014-01-18,516.0,77.0,3,-86.0,888.0 439 | 437,448,2014-01-19,517.0,77.0,3,-86.0,885.0 440 | 438,451,2014-01-20,518.0,78.0,3,-85.0,885.0 441 | 439,452,2014-01-21,519.0,78.0,3,-86.0,884.0 442 | 440,453,2014-01-22,520.0,79.0,3,-86.0,884.0 443 | 441,454,2014-01-23,521.0,79.0,3,-87.0,882.0 444 | 442,455,2014-01-24,522.0,80.0,3,-85.0,881.0 445 | 443,458,2014-01-25,523.0,80.0,3,-85.0,881.0 446 | 444,457,2014-01-26,524.0,81.0,3,-85.0,880.0 447 | 445,456,2014-01-27,525.0,81.0,3,-87.0,878.0 448 | 446,459,2014-01-28,526.0,82.0,3,-87.0,878.0 449 | 447,460,2014-01-29,527.0,82.0,3,-86.0,877.0 450 | 448,461,2014-01-30,528.0,82.0,3,-86.0,876.0 451 | 449,462,2014-01-31,529.0,83.0,3,-87.0,875.0 452 | 450,463,2014-02-01,530.0,83.0,3,-87.0,873.0 453 | 451,465,2014-02-02,531.0,84.0,3,-87.0,872.0 454 | 452,464,2014-02-03,532.0,84.0,3,-88.0,872.0 455 | 453,466,2014-02-04,533.0,85.0,3,-87.0,871.0 456 | 454,467,2014-02-05,534.0,85.0,3,-86.0,869.0 457 | 455,468,2014-02-06,535.0,86.0,3,-88.0,868.0 458 | 456,470,2014-02-07,536.0,86.0,3,-83.0,867.0 459 | 457,469,2014-02-08,537.0,86.0,3,-83.0,865.0 460 | 458,472,2014-02-09,538.0,87.0,3,-85.0,865.0 461 | 459,476,2014-02-10,539.0,87.0,3,-85.0,864.0 462 | 460,481,2014-02-11,540.0,88.0,3,-84.0,862.0 463 | 461,482,2014-02-12,541.0,88.0,3,-84.0,861.0 464 | 462,477,2014-02-13,542.0,89.0,3,-85.0,859.0 465 | 463,486,2014-02-15,543.0,89.0,3,-84.0,858.0 466 | 464,487,2014-02-16,544.0,90.0,4,-86.0,857.0 467 | 465,490,2014-02-17,545.0,90.0,4,-85.0,856.0 468 | 466,489,2014-02-18,546.0,91.0,4,-85.0,855.0 469 | 467,488,2014-02-19,547.0,91.0,4,-85.0,853.0 470 | 468,491,2014-02-20,548.0,91.0,4,-86.0,852.0 471 | 469,492,2014-02-21,549.0,92.0,4,-87.0,851.0 472 | 470,494,2014-02-22,550.0,92.0,4,-85.0,850.0 473 | 471,495,2014-02-23,551.0,93.0,4,-85.0,848.0 474 | 472,493,2014-02-24,552.0,93.0,4,-86.0,847.0 475 | 473,496,2014-02-25,553.0,94.0,4,-84.0,845.0 476 | 474,497,2014-02-26,554.0,94.0,4,-84.0,843.0 477 | 475,499,2014-02-27,555.0,95.0,4,-85.0,843.0 478 | 476,501,2014-02-28,556.0,95.0,4,-85.0,842.0 479 | 477,498,2014-03-01,557.0,96.0,4,-85.0,840.0 480 | 478,500,2014-03-02,558.0,96.0,4,-85.0,839.0 481 | 479,502,2014-03-03,559.0,96.0,4,-85.0,838.0 482 | 480,503,2014-03-04,560.0,97.0,4,-86.0,836.0 483 | 481,504,2014-03-05,561.0,97.0,4,-85.0,835.0 484 | 482,506,2014-03-06,562.0,98.0,4,-85.0,834.0 485 | 483,505,2014-03-07,563.0,98.0,4,-87.0,833.0 486 | 484,509,2014-03-08,564.0,99.0,4,-86.0,831.0 487 | 485,508,2014-03-09,565.0,99.0,4,-85.0,830.0 488 | 486,507,2014-03-10,566.0,100.0,4,-86.0,829.0 489 | 487,510,2014-03-11,567.0,100.0,4,-86.0,827.0 490 | 488,511,2014-03-12,568.0,101.0,4,-86.0,825.0 491 | 489,512,2014-03-13,569.0,101.0,4,-85.0,825.0 492 | 490,513,2014-03-14,570.0,102.0,4,-84.0,823.0 493 | 491,515,2014-03-15,571.0,102.0,4,-84.0,821.0 494 | 492,514,2014-03-16,572.0,102.0,4,-85.0,820.0 495 | 493,516,2014-03-17,573.0,103.0,4,-84.0,819.0 496 | 494,517,2014-03-18,574.0,103.0,4,-85.0,817.0 497 | 495,518,2014-03-19,575.0,104.0,4,-82.0,816.0 498 | 496,520,2014-03-20,576.0,104.0,4,-84.0,815.0 499 | 497,519,2014-03-21,577.0,105.0,4,-84.0,813.0 500 | 498,521,2014-03-22,578.0,105.0,4,-83.0,812.0 501 | 499,522,2014-03-24,579.0,106.0,4,-82.0,811.0 502 | 500,523,2014-03-25,580.0,106.0,4,-83.0,810.0 503 | 501,524,2014-03-26,581.0,107.0,4,-84.0,808.0 504 | 502,525,2014-03-27,582.0,107.0,4,-84.0,807.0 505 | 503,526,2014-03-28,583.0,108.0,4,-82.0,806.0 506 | 504,528,2014-03-29,584.0,108.0,4,-82.0,804.0 507 | 505,527,2014-03-30,585.0,109.0,4,-83.0,802.0 508 | 506,529,2014-03-31,586.0,109.0,4,-82.0,802.0 509 | 507,530,2014-04-01,587.0,109.0,4,-85.0,801.0 510 | 508,532,2014-04-02,588.0,110.0,4,-84.0,799.0 511 | 509,531,2014-04-03,589.0,110.0,4,-85.0,798.0 512 | 510,535,2014-04-04,590.0,111.0,4,-82.0,797.0 513 | 511,533,2014-04-05,591.0,111.0,4,-82.0,795.0 514 | 512,534,2014-04-06,592.0,112.0,4,-83.0,795.0 515 | 513,536,2014-04-07,593.0,112.0,4,-83.0,795.0 516 | 514,537,2014-04-08,594.0,113.0,4,-83.0,793.0 517 | 515,538,2014-04-09,595.0,113.0,4,-83.0,792.0 518 | 516,539,2014-04-10,596.0,114.0,4,-82.0,791.0 519 | 517,540,2014-04-11,597.0,114.0,4,-84.0,790.0 520 | 518,542,2014-04-12,598.0,115.0,4,-84.0,787.0 521 | 519,543,2014-04-13,599.0,115.0,4,-84.0,788.0 522 | 520,541,2014-04-14,600.0,116.0,4,-81.0,787.0 523 | 521,544,2014-04-15,601.0,116.0,4,-82.0,785.0 524 | 522,545,2014-04-16,602.0,117.0,4,-82.0,784.0 525 | 523,548,2014-04-17,603.0,117.0,4,-83.0,783.0 526 | 524,546,2014-04-18,604.0,118.0,4,-84.0,782.0 527 | 525,547,2014-04-19,605.0,118.0,4,-83.0,781.0 528 | 526,549,2014-04-20,606.0,118.0,4,-84.0,780.0 529 | 527,550,2014-04-21,607.0,119.0,4,-83.0,779.0 530 | 528,551,2014-04-22,608.0,119.0,4,-85.0,777.0 531 | 529,552,2014-04-23,609.0,120.0,5,-84.0,777.0 532 | 530,554,2014-04-24,610.0,120.0,5,-85.0,776.0 533 | 531,555,2014-04-25,611.0,121.0,5,-84.0,775.0 534 | 532,553,2014-04-26,612.0,121.0,5,-85.0,774.0 535 | 533,556,2014-04-27,613.0,122.0,5,-84.0,773.0 536 | 534,557,2014-04-28,614.0,122.0,5,-82.0,772.0 537 | 535,558,2014-04-29,615.0,123.0,5,-83.0,771.0 538 | 536,559,2014-05-01,616.0,123.0,5,-82.0,769.0 539 | 537,561,2014-05-02,617.0,124.0,5,-84.0,769.0 540 | 538,562,2014-05-03,618.0,124.0,5,-83.0,769.0 541 | 539,560,2014-05-04,619.0,125.0,5,-82.0,766.0 542 | 540,563,2014-05-05,620.0,125.0,5,-83.0,765.0 543 | 541,564,2014-05-06,621.0,126.0,5,-82.0,765.0 544 | 542,565,2014-05-07,622.0,126.0,5,-84.0,763.0 545 | 543,566,2014-05-08,623.0,127.0,5,-83.0,763.0 546 | 544,568,2014-05-09,624.0,127.0,5,-82.0,762.0 547 | 545,569,2014-05-10,625.0,128.0,5,-81.0,761.0 548 | 546,567,2014-05-11,626.0,128.0,5,-82.0,760.0 549 | 547,570,2014-05-12,627.0,129.0,5,-82.0,759.0 550 | 548,571,2014-05-13,628.0,129.0,5,-81.0,759.0 551 | 549,572,2014-05-14,629.0,130.0,5,-84.0,759.0 552 | 550,573,2014-05-15,630.0,130.0,5,-82.0,757.0 553 | 551,576,2014-05-16,631.0,131.0,5,-81.0,756.0 554 | 552,575,2014-05-17,632.0,131.0,5,-79.0,755.0 555 | 553,574,2014-05-18,633.0,132.0,5,-81.0,754.0 556 | 554,577,2014-05-19,634.0,132.0,5,-82.0,753.0 557 | 555,578,2014-05-20,635.0,133.0,5,-82.0,754.0 558 | 556,582,2014-05-21,636.0,133.0,5,-81.0,752.0 559 | 557,580,2014-05-22,637.0,134.0,5,-80.0,752.0 560 | 558,579,2014-05-23,638.0,134.0,5,-80.0,751.0 561 | 559,581,2014-05-24,639.0,135.0,5,-80.0,750.0 562 | 560,583,2014-05-25,640.0,135.0,5,-81.0,750.0 563 | 561,584,2014-05-26,641.0,136.0,5,-81.0,749.0 564 | 562,585,2014-05-27,642.0,136.0,5,-80.0,749.0 565 | 563,586,2014-05-28,643.0,137.0,5,-80.0,748.0 566 | 564,588,2014-05-29,644.0,137.0,5,-80.0,748.0 567 | 565,589,2014-05-30,645.0,138.0,5,-81.0,746.0 568 | 566,587,2014-05-31,646.0,138.0,5,-81.0,746.0 569 | 567,590,2014-06-01,647.0,139.0,5,-79.0,746.0 570 | 568,591,2014-06-02,648.0,139.0,5,-80.0,746.0 571 | 569,592,2014-06-03,649.0,140.0,5,-79.0,745.0 572 | 570,593,2014-06-04,650.0,140.0,5,-80.0,743.0 573 | 571,595,2014-06-05,651.0,141.0,5,-80.0,743.0 574 | 572,594,2014-06-07,652.0,141.0,5,-79.0,745.0 575 | 573,596,2014-06-08,653.0,142.0,5,-80.0,744.0 576 | 574,597,2014-06-09,654.0,142.0,5,-79.0,742.0 577 | 575,598,2014-06-10,655.0,143.0,5,-77.0,741.0 578 | 576,599,2014-06-11,656.0,143.0,5,-80.0,740.0 579 | 577,600,2014-06-12,657.0,144.0,5,-79.0,739.0 580 | 578,602,2014-06-13,658.0,144.0,5,-79.0,739.0 581 | 579,603,2014-06-14,659.0,145.0,5,-77.0,738.0 582 | 580,601,2014-06-15,660.0,145.0,5,-78.0,735.0 583 | 581,604,2014-06-16,661.0,146.0,5,-76.0,735.0 584 | 582,605,2014-06-17,662.0,146.0,5,-77.0,735.0 585 | 583,609,2014-06-18,663.0,147.0,5,-77.0,734.0 586 | 584,607,2014-06-19,664.0,147.0,5,-78.0,732.0 587 | 585,610,2014-06-20,665.0,148.0,5,-78.0,735.0 588 | 586,608,2014-06-21,666.0,148.0,5,-77.0,736.0 589 | 587,606,2014-06-22,667.0,149.0,5,-76.0,736.0 590 | 588,611,2014-06-23,668.0,150.0,6,-75.0,734.0 591 | 589,613,2014-06-24,669.0,150.0,6,-84.0,735.0 592 | 590,612,2014-06-25,670.0,151.0,6,-79.0,737.0 593 | 591,614,2014-06-26,671.0,151.0,6,-79.0,740.0 594 | 592,615,2014-06-27,672.0,152.0,6,-78.0,739.0 595 | 593,616,2014-06-28,673.0,152.0,6,-78.0,738.0 596 | 594,617,2014-06-29,674.0,153.0,6,-80.0,739.0 597 | 595,618,2014-06-30,675.0,153.0,6,-80.0,740.0 598 | 596,619,2014-07-01,676.0,154.0,6,-80.0,738.0 599 | 597,622,2014-07-02,677.0,154.0,6,-78.0,737.0 600 | 598,621,2014-07-03,678.0,155.0,6,-77.0,739.0 601 | 599,624,2014-07-04,679.0,155.0,6,-77.0,738.0 602 | 600,620,2014-07-05,680.0,156.0,6,-76.0,740.0 603 | 601,623,2014-07-06,681.0,156.0,6,-79.0,738.0 604 | 602,625,2014-07-07,682.0,157.0,6,-77.0,739.0 605 | 603,626,2014-07-08,683.0,158.0,6,-79.0,741.0 606 | 604,627,2014-07-09,684.0,158.0,6,-75.0,741.0 607 | 605,628,2014-07-10,685.0,159.0,6,-77.0,740.0 608 | 606,629,2014-07-11,686.0,159.0,6,-76.0,738.0 609 | 607,630,2014-07-12,687.0,160.0,6,-77.0,739.0 610 | 608,631,2014-07-14,688.0,160.0,6,-77.0,741.0 611 | 609,632,2014-07-15,689.0,161.0,6,-76.0,742.0 612 | 610,633,2014-07-16,690.0,161.0,6,-77.0,741.0 613 | 611,634,2014-07-17,691.0,162.0,6,-76.0,741.0 614 | 612,637,2014-07-18,692.0,162.0,6,-76.0,742.0 615 | 613,636,2014-07-19,693.0,163.0,6,-76.0,741.0 616 | 614,635,2014-07-20,694.0,164.0,6,-75.0,740.0 617 | 615,638,2014-07-21,695.0,164.0,6,-76.0,741.0 618 | 616,639,2014-07-22,696.0,165.0,6,-75.0,743.0 619 | 617,640,2014-07-23,697.0,165.0,6,-74.0,743.0 620 | 618,641,2014-07-24,698.0,166.0,6,-77.0,743.0 621 | 619,642,2014-07-25,699.0,166.0,6,-76.0,744.0 622 | 620,643,2014-07-26,700.0,167.0,6,-75.0,745.0 623 | 621,644,2014-07-27,701.0,167.0,6,-77.0,745.0 624 | 622,645,2014-07-28,702.0,168.0,6,-76.0,745.0 625 | 623,646,2014-07-29,703.0,169.0,6,-75.0,747.0 626 | 624,647,2014-07-30,704.0,169.0,6,-75.0,747.0 627 | 625,648,2014-07-31,705.0,170.0,6,-76.0,746.0 628 | 626,650,2014-08-01,706.0,170.0,6,-76.0,748.0 629 | 627,651,2014-08-02,707.0,171.0,6,-76.0,749.0 630 | 628,649,2014-08-03,708.0,171.0,6,-76.0,749.0 631 | 629,652,2014-08-04,709.0,172.0,6,-73.0,750.0 632 | 630,653,2014-08-05,710.0,172.0,6,-77.0,751.0 633 | 631,654,2014-08-06,711.0,173.0,6,-75.0,751.0 634 | 632,658,2014-08-07,712.0,174.0,6,-77.0,752.0 635 | 633,656,2014-08-08,713.0,174.0,6,-76.0,754.0 636 | 634,655,2014-08-09,714.0,175.0,6,-76.0,754.0 637 | 635,657,2014-08-10,715.0,175.0,6,-73.0,755.0 638 | 636,659,2014-08-11,716.0,176.0,6,-75.0,755.0 639 | 637,661,2014-08-12,717.0,176.0,6,-76.0,756.0 640 | 638,660,2014-08-13,718.0,177.0,6,-77.0,757.0 641 | 639,662,2014-08-14,719.0,178.0,6,-77.0,758.0 642 | 640,663,2014-08-15,720.0,178.0,6,-74.0,760.0 643 | 641,664,2014-08-16,721.0,179.0,6,-73.0,761.0 644 | 642,665,2014-08-17,722.0,179.0,6,-74.0,760.0 645 | 643,666,2014-08-18,723.0,180.0,7,-73.0,761.0 646 | 644,667,2014-08-19,724.0,181.0,7,-74.0,763.0 647 | 645,669,2014-08-21,725.0,181.0,7,-73.0,764.0 648 | 646,668,2014-08-22,726.0,182.0,7,-75.0,766.0 649 | 647,671,2014-08-23,727.0,182.0,7,-76.0,766.0 650 | 648,670,2014-08-24,728.0,183.0,7,-74.0,766.0 651 | 649,672,2014-08-25,729.0,183.0,7,-75.0,768.0 652 | 650,676,2014-08-26,730.0,184.0,7,-76.0,770.0 653 | 651,673,2014-08-27,731.0,185.0,7,-75.0,771.0 654 | 652,677,2014-08-28,732.0,185.0,7,-75.0,773.0 655 | 653,674,2014-08-29,733.0,186.0,7,-74.0,773.0 656 | 654,675,2014-08-30,734.0,186.0,7,-73.0,776.0 657 | 655,678,2014-08-31,735.0,187.0,7,-73.0,776.0 658 | 656,679,2014-09-01,736.0,188.0,7,-76.0,776.0 659 | 657,680,2014-09-02,737.0,188.0,7,-74.0,777.0 660 | 658,681,2014-09-03,738.0,189.0,7,-75.0,778.0 661 | 659,682,2014-09-04,739.0,189.0,7,-77.0,779.0 662 | 660,685,2014-09-05,740.0,190.0,7,-76.0,782.0 663 | 661,683,2014-09-06,741.0,191.0,7,-70.0,784.0 664 | 662,684,2014-09-07,742.0,191.0,7,-72.0,784.0 665 | 663,686,2014-09-08,743.0,192.0,7,-72.0,786.0 666 | 664,687,2014-09-09,744.0,192.0,7,-75.0,786.0 667 | 665,689,2014-09-10,745.0,193.0,7,-74.0,787.0 668 | 666,688,2014-09-11,746.0,194.0,7,-76.0,788.0 669 | 667,691,2014-09-12,747.0,194.0,7,-73.0,789.0 670 | 668,690,2014-09-13,748.0,195.0,7,-71.0,791.0 671 | 669,692,2014-09-14,749.0,195.0,7,-73.0,794.0 672 | 670,693,2014-09-15,750.0,196.0,7,-72.0,796.0 673 | 671,695,2014-09-16,751.0,197.0,7,-72.0,797.0 674 | 672,694,2014-09-17,752.0,197.0,7,-71.0,798.0 675 | 673,698,2014-09-18,753.0,198.0,7,-73.0,800.0 676 | 674,696,2014-09-19,754.0,198.0,7,-73.0,802.0 677 | 675,697,2014-09-20,755.0,199.0,7,-74.0,806.0 678 | 676,699,2014-09-21,756.0,200.0,7,-73.0,806.0 679 | 677,700,2014-09-22,757.0,200.0,7,-73.0,807.0 680 | 678,701,2014-09-23,758.0,201.0,7,-71.0,810.0 681 | 679,702,2014-09-24,759.0,201.0,7,-77.0,809.0 682 | 680,704,2014-09-25,760.0,202.0,7,-70.0,810.0 683 | 681,705,2014-09-27,761.0,203.0,7,-72.0,814.0 684 | 682,703,2014-09-28,762.0,203.0,7,-75.0,814.0 685 | 683,706,2014-09-29,763.0,204.0,7,-78.0,817.0 686 | 684,707,2014-09-30,764.0,205.0,7,-73.0,821.0 687 | 685,708,2014-10-01,765.0,205.0,7,-73.0,820.0 688 | 686,709,2014-10-02,766.0,206.0,7,-70.0,824.0 689 | 687,710,2014-10-03,767.0,206.0,7,-71.0,824.0 690 | 688,712,2014-10-04,768.0,207.0,7,-73.0,826.0 691 | 689,711,2014-10-05,769.0,208.0,7,-73.0,829.0 692 | 690,713,2014-10-06,770.0,208.0,7,-70.0,829.0 693 | 691,714,2014-10-07,771.0,209.0,7,-71.0,836.0 694 | 692,715,2014-10-08,772.0,210.0,8,-71.0,835.0 695 | 693,716,2014-10-09,773.0,210.0,8,-70.0,838.0 696 | 694,719,2014-10-10,774.0,211.0,8,-73.0,838.0 697 | 695,717,2014-10-11,775.0,211.0,8,-71.0,838.0 698 | 696,718,2014-10-12,776.0,212.0,8,-72.0,841.0 699 | 697,720,2014-10-13,777.0,213.0,8,-72.0,841.0 700 | 698,721,2014-10-14,778.0,213.0,8,-70.0,846.0 701 | 699,722,2014-10-15,779.0,214.0,8,-71.0,845.0 702 | 700,723,2014-10-16,780.0,215.0,8,-72.0,852.0 703 | 701,725,2014-10-17,781.0,215.0,8,-74.0,849.0 704 | 702,724,2014-10-18,782.0,216.0,8,-71.0,854.0 705 | 703,727,2014-10-19,783.0,216.0,8,-69.0,853.0 706 | 704,726,2014-10-20,784.0,217.0,8,-69.0,857.0 707 | 705,728,2014-10-21,785.0,218.0,8,-74.0,858.0 708 | 706,729,2014-10-22,786.0,218.0,8,-74.0,861.0 709 | 707,732,2014-10-23,787.0,219.0,8,-73.0,860.0 710 | 708,731,2014-10-24,788.0,220.0,8,-68.0,862.0 711 | 709,730,2014-10-25,789.0,220.0,8,-68.0,862.0 712 | 710,733,2014-10-26,790.0,221.0,8,-68.0,864.0 713 | 711,734,2014-10-27,791.0,222.0,8,-70.0,867.0 714 | 712,735,2014-10-28,792.0,222.0,8,-71.0,873.0 715 | 713,736,2014-10-29,793.0,223.0,8,-71.0,877.0 716 | 714,739,2014-10-30,794.0,223.0,8,-68.0,874.0 717 | 715,738,2014-10-31,795.0,224.0,8,-68.0,875.0 718 | 716,737,2014-11-01,796.0,225.0,8,-65.0,877.0 719 | 717,740,2014-11-03,797.0,225.0,8,-65.0,879.0 720 | 718,741,2014-11-04,798.0,226.0,8,-67.0,883.0 721 | 719,743,2014-11-05,799.0,227.0,8,-70.0,884.0 722 | 720,742,2014-11-06,800.0,227.0,8,-67.0,884.0 723 | 721,746,2014-11-07,801.0,228.0,8,-70.0,884.0 724 | 722,745,2014-11-08,802.0,229.0,8,-69.0,887.0 725 | 723,744,2014-11-09,803.0,229.0,8,-69.0,888.0 726 | 724,747,2014-11-10,804.0,230.0,8,-73.0,891.0 727 | 725,748,2014-11-11,805.0,231.0,8,-70.0,893.0 728 | 726,750,2014-11-12,806.0,231.0,8,-69.0,893.0 729 | 727,749,2014-11-13,807.0,232.0,8,-71.0,892.0 730 | 728,752,2014-11-14,808.0,232.0,8,-67.0,893.0 731 | 729,753,2014-11-15,809.0,233.0,8,-70.0,895.0 732 | 730,751,2014-11-16,810.0,234.0,8,-69.0,897.0 733 | 731,754,2014-11-17,811.0,234.0,8,-71.0,900.0 734 | 732,755,2014-11-18,812.0,235.0,8,-75.0,902.0 735 | 733,756,2014-11-19,813.0,236.0,8,-67.0,904.0 736 | 734,757,2014-11-20,814.0,236.0,8,-68.0,902.0 737 | 735,759,2014-11-21,815.0,237.0,8,-69.0,905.0 738 | 736,758,2014-11-22,816.0,238.0,8,-74.0,909.0 739 | 737,761,2014-11-23,817.0,238.0,8,-69.0,913.0 740 | 738,760,2014-11-24,818.0,239.0,8,-68.0,914.0 741 | 739,763,2014-11-25,819.0,240.0,9,-71.0,913.0 742 | 740,765,2014-11-26,820.0,240.0,9,-68.0,910.0 743 | 741,762,2014-11-27,821.0,241.0,9,-68.0,910.0 744 | 742,764,2014-11-28,822.0,242.0,9,-71.0,911.0 745 | 743,766,2014-11-29,823.0,242.0,9,-69.0,912.0 746 | 744,768,2014-11-30,824.0,243.0,9,-67.0,914.0 747 | 745,767,2014-12-01,825.0,243.0,9,-67.0,914.0 748 | 746,770,2014-12-02,826.0,244.0,9,-68.0,914.0 749 | 747,769,2014-12-03,827.0,245.0,9,-68.0,911.0 750 | 748,771,2014-12-04,828.0,245.0,9,-71.0,914.0 751 | 749,773,2014-12-05,829.0,246.0,9,-71.0,914.0 752 | 750,772,2014-12-06,830.0,247.0,9,-68.0,918.0 753 | 751,774,2014-12-07,831.0,247.0,9,-68.0,920.0 754 | 752,775,2014-12-08,832.0,248.0,9,-68.0,924.0 755 | 753,776,2014-12-09,833.0,249.0,9,-69.0,923.0 756 | 754,777,2014-12-11,834.0,249.0,9,-68.0,918.0 757 | 755,780,2014-12-12,835.0,250.0,9,-69.0,917.0 758 | 756,778,2014-12-13,836.0,251.0,9,-69.0,916.0 759 | 757,779,2014-12-14,837.0,251.0,9,-69.0,916.0 760 | 758,782,2014-12-15,838.0,252.0,9,-69.0,917.0 761 | 759,781,2014-12-16,839.0,253.0,9,-70.0,917.0 762 | 760,783,2014-12-17,840.0,253.0,9,-74.0,913.0 763 | 761,784,2014-12-18,841.0,254.0,9,-75.0,914.0 764 | 762,790,2014-12-19,842.0,255.0,9,-69.0,914.0 765 | 763,793,2014-12-20,843.0,255.0,9,-69.0,916.0 766 | 764,788,2014-12-21,844.0,256.0,9,-68.0,917.0 767 | 765,786,2014-12-22,845.0,257.0,9,-73.0,920.0 768 | 766,785,2014-12-23,846.0,257.0,9,-74.0,925.0 769 | 767,791,2014-12-24,847.0,258.0,9,-69.0,918.0 770 | 768,792,2014-12-25,848.0,258.0,9,-69.0,918.0 771 | 769,787,2014-12-26,849.0,259.0,9,-69.0,918.0 772 | 770,789,2014-12-27,850.0,260.0,9,-68.0,918.0 773 | 771,794,2014-12-28,851.0,260.0,9,-68.0,919.0 774 | 772,797,2014-12-29,852.0,261.0,9,-73.0,916.0 775 | 773,796,2014-12-30,853.0,262.0,9,-67.0,913.0 776 | 774,798,2014-12-31,854.0,262.0,9,-66.0,910.0 777 | 775,799,2015-01-01,855.0,263.0,9,-69.0,912.0 778 | 776,795,2015-01-02,856.0,264.0,9,-68.0,912.0 779 | 777,801,2015-01-03,857.0,264.0,9,-76.0,911.0 780 | 778,800,2015-01-04,858.0,265.0,9,-73.0,913.0 781 | 779,802,2015-01-05,859.0,266.0,9,-72.0,915.0 782 | 780,803,2015-01-06,860.0,266.0,9,-69.0,916.0 783 | 781,804,2015-01-07,861.0,267.0,9,-70.0,917.0 784 | 782,807,2015-01-08,862.0,268.0,9,-70.0,917.0 785 | 783,805,2015-01-09,863.0,268.0,9,-72.0,916.0 786 | 784,806,2015-01-10,864.0,269.0,9,-70.0,914.0 787 | 785,808,2015-01-11,865.0,270.0,10,-70.0,913.0 788 | 786,809,2015-01-12,866.0,270.0,10,-71.0,911.0 789 | 787,810,2015-01-13,867.0,271.0,10,-71.0,910.0 790 | 788,811,2015-01-14,868.0,271.0,10,-71.0,908.0 791 | 789,812,2015-01-15,869.0,272.0,10,-72.0,906.0 792 | 790,813,2015-01-17,870.0,273.0,10,-74.0,909.0 793 | 791,814,2015-01-18,871.0,273.0,10,-70.0,903.0 794 | 792,815,2015-01-19,872.0,274.0,10,-72.0,902.0 795 | 793,817,2015-01-28,881.0,280.0,10,-73.0,899.0 796 | 794,818,2015-01-29,882.0,280.0,10,-76.0,901.0 797 | 795,820,2015-01-30,883.0,281.0,10,-74.0,897.0 798 | 796,821,2015-01-31,884.0,282.0,10,-71.0,897.0 799 | 797,819,2015-02-01,885.0,282.0,10,-71.0,895.0 800 | 798,823,2015-02-02,886.0,283.0,10,-73.0,894.0 801 | 799,822,2015-02-03,887.0,284.0,10,-73.0,897.0 802 | 800,824,2015-02-04,888.0,284.0,10,-70.0,896.0 803 | 801,825,2015-02-05,889.0,285.0,10,-70.0,895.0 804 | 802,826,2015-02-06,890.0,286.0,10,-72.0,892.0 805 | 803,827,2015-02-07,891.0,286.0,10,-72.0,892.0 806 | 804,828,2015-02-08,892.0,287.0,10,-71.0,892.0 807 | 805,829,2015-02-09,893.0,287.0,10,-72.0,890.0 808 | 806,830,2015-02-10,894.0,288.0,10,-75.0,891.0 809 | 807,831,2015-02-11,895.0,289.0,10,-72.0,889.0 810 | 808,833,2015-02-12,896.0,289.0,10,-70.0,888.0 811 | 809,832,2015-02-13,897.0,290.0,10,-72.0,884.0 812 | 810,834,2015-02-14,898.0,291.0,10,-72.0,883.0 813 | 811,835,2015-02-15,899.0,291.0,10,-75.0,881.0 814 | 812,836,2015-02-16,900.0,292.0,10,-70.0,883.0 815 | 813,837,2015-02-17,901.0,292.0,10,-71.0,885.0 816 | 814,838,2015-02-18,902.0,293.0,10,-68.0,883.0 817 | 815,839,2015-02-19,903.0,294.0,10,-71.0,882.0 818 | 816,841,2015-02-20,904.0,294.0,10,-71.0,878.0 819 | 817,840,2015-02-21,905.0,295.0,10,-71.0,880.0 820 | 818,843,2015-02-22,906.0,296.0,10,-76.0,878.0 821 | 819,842,2015-02-24,907.0,296.0,10,-75.0,879.0 822 | 820,844,2015-02-25,908.0,297.0,10,-71.0,883.0 823 | 821,845,2015-02-26,909.0,297.0,10,-70.0,878.0 824 | 822,847,2015-02-27,910.0,298.0,10,-73.0,878.0 825 | 823,846,2015-02-28,911.0,299.0,10,-70.0,874.0 826 | 824,849,2015-03-01,912.0,299.0,10,-75.0,875.0 827 | 825,848,2015-03-02,913.0,300.0,11,-71.0,871.0 828 | 826,850,2015-03-03,914.0,300.0,11,-71.0,874.0 829 | 827,851,2015-03-04,915.0,301.0,11,-71.0,878.0 830 | 828,852,2015-03-05,916.0,302.0,11,-71.0,872.0 831 | 829,854,2015-03-06,917.0,302.0,11,-76.0,871.0 832 | 830,853,2015-03-07,918.0,303.0,11,-71.0,867.0 833 | 831,855,2015-03-08,919.0,304.0,11,-74.0,870.0 834 | 832,856,2015-03-09,920.0,304.0,11,-72.0,868.0 835 | 833,857,2015-03-10,921.0,305.0,11,-70.0,867.0 836 | 834,858,2015-03-11,922.0,305.0,11,-73.0,870.0 837 | 835,859,2015-03-12,923.0,306.0,11,-72.0,867.0 838 | 836,861,2015-03-13,924.0,307.0,11,-74.0,867.0 839 | 837,860,2015-03-14,925.0,307.0,11,-71.0,862.0 840 | 838,862,2015-03-15,926.0,308.0,11,-76.0,864.0 841 | 839,863,2015-03-16,927.0,308.0,11,-76.0,862.0 842 | 840,864,2015-03-17,928.0,309.0,11,-72.0,862.0 843 | 841,865,2015-03-18,929.0,310.0,11,-75.0,866.0 844 | 842,868,2015-03-19,930.0,310.0,11,-75.0,865.0 845 | 843,867,2015-03-20,931.0,311.0,11,-69.0,864.0 846 | 844,866,2015-03-21,932.0,311.0,11,-71.0,859.0 847 | 845,869,2015-03-22,933.0,312.0,11,-71.0,863.0 848 | 846,870,2015-03-23,934.0,313.0,11,-73.0,858.0 849 | 847,872,2015-03-24,935.0,313.0,11,-75.0,862.0 850 | 848,871,2015-03-25,936.0,314.0,11,-72.0,865.0 851 | 849,874,2015-03-26,937.0,314.0,11,-73.0,863.0 852 | 850,876,2015-03-29,940.0,316.0,11,-73.0,861.0 853 | 851,875,2015-03-30,941.0,317.0,11,-74.0,857.0 854 | 852,880,2015-03-31,942.0,317.0,11,-74.0,857.0 855 | 853,877,2015-04-02,943.0,318.0,11,-73.0,854.0 856 | 854,878,2015-04-03,944.0,318.0,11,-70.0,852.0 857 | 855,881,2015-04-04,945.0,319.0,11,-72.0,851.0 858 | 856,879,2015-04-05,946.0,320.0,11,-77.0,850.0 859 | 857,882,2015-04-06,947.0,320.0,11,-70.0,853.0 860 | 858,883,2015-04-07,948.0,321.0,11,-73.0,854.0 861 | 859,884,2015-04-08,949.0,321.0,11,-72.0,851.0 862 | 860,885,2015-04-09,950.0,322.0,11,-73.0,850.0 863 | 861,888,2015-04-10,951.0,323.0,11,-75.0,849.0 864 | 862,886,2015-04-11,952.0,323.0,11,-69.0,847.0 865 | 863,887,2015-04-12,953.0,324.0,11,-71.0,847.0 866 | 864,889,2015-04-13,954.0,324.0,11,-73.0,847.0 867 | 865,892,2015-04-17,958.0,327.0,11,-74.0,848.0 868 | 866,891,2015-04-18,959.0,327.0,11,-78.0,846.0 869 | 867,893,2015-04-19,960.0,328.0,11,-76.0,846.0 870 | 868,895,2015-04-20,961.0,328.0,11,-71.0,849.0 871 | 869,894,2015-04-21,962.0,329.0,11,-73.0,845.0 872 | 870,896,2015-04-22,963.0,329.0,11,-71.0,850.0 873 | 871,897,2015-04-23,964.0,330.0,12,-72.0,847.0 874 | 872,898,2015-04-24,965.0,331.0,12,-75.0,847.0 875 | 873,900,2015-04-25,966.0,331.0,12,-73.0,850.0 876 | 874,899,2015-04-26,967.0,332.0,12,-74.0,844.0 877 | 875,901,2015-04-27,968.0,332.0,12,-71.0,848.0 878 | 876,902,2015-04-28,969.0,333.0,12,-72.0,844.0 879 | 877,903,2015-04-29,970.0,333.0,12,-71.0,849.0 880 | 878,906,2015-04-30,971.0,334.0,12,-71.0,848.0 881 | 879,904,2015-05-01,972.0,334.0,12,-73.0,847.0 882 | 880,905,2015-05-02,973.0,335.0,12,-72.0,844.0 883 | 881,907,2015-05-03,974.0,336.0,12,-73.0,842.0 884 | 882,908,2015-05-04,975.0,336.0,12,-73.0,843.0 885 | 883,909,2015-05-05,976.0,337.0,12,-75.0,842.0 886 | 884,910,2015-05-06,977.0,337.0,12,-75.0,841.0 887 | 885,913,2015-05-07,978.0,338.0,12,-73.0,842.0 888 | 886,912,2015-05-09,979.0,338.0,12,-79.0,841.0 889 | 887,911,2015-05-10,980.0,339.0,12,-73.0,840.0 890 | 888,914,2015-05-11,981.0,339.0,12,-73.0,841.0 891 | 889,917,2015-05-12,982.0,340.0,12,-74.0,840.0 892 | 890,916,2015-05-13,983.0,340.0,12,-76.0,840.0 893 | 891,915,2015-05-14,984.0,341.0,12,-74.0,840.0 894 | 892,918,2015-05-15,985.0,342.0,12,-78.0,840.0 895 | 893,919,2015-05-16,986.0,342.0,12,-74.0,840.0 896 | 894,920,2015-05-17,987.0,343.0,12,-74.0,839.0 897 | 895,922,2015-05-18,988.0,343.0,12,-75.0,840.0 898 | 896,921,2015-05-19,989.0,344.0,12,-74.0,841.0 899 | 897,923,2015-05-20,990.0,344.0,12,-76.0,839.0 900 | 898,926,2015-05-21,991.0,345.0,12,-73.0,840.0 901 | 899,924,2015-05-22,992.0,345.0,12,-73.0,842.0 902 | 900,927,2015-05-23,993.0,346.0,12,-73.0,840.0 903 | 901,925,2015-05-24,994.0,346.0,12,-79.0,842.0 904 | 902,929,2015-05-25,995.0,347.0,12,-74.0,842.0 905 | 903,928,2015-05-26,996.0,348.0,12,-72.0,842.0 906 | 904,930,2015-05-27,997.0,348.0,12,-74.0,843.0 907 | 905,931,2015-05-28,998.0,349.0,12,-73.0,842.0 908 | 906,932,2015-05-30,1000.0,350.0,12,-74.0,841.0 909 | 907,933,2015-05-31,1001.0,350.0,12,-79.0,843.0 910 | 908,936,2015-06-01,1002.0,351.0,12,-77.0,844.0 911 | 909,934,2015-06-02,1003.0,351.0,12,-74.0,843.0 912 | 910,935,2015-06-03,1004.0,352.0,12,-74.0,842.0 913 | 911,939,2015-06-04,1005.0,352.0,12,-75.0,843.0 914 | 912,941,2015-06-05,1006.0,353.0,12,-78.0,844.0 915 | 913,937,2015-06-06,1007.0,353.0,12,-79.0,845.0 916 | 914,940,2015-06-07,1008.0,354.0,12,-79.0,844.0 917 | 915,946,2015-06-08,1009.0,354.0,12,-75.0,845.0 918 | 916,947,2015-06-09,1010.0,355.0,12,-74.0,846.0 919 | 917,948,2015-06-10,1011.0,355.0,12,-78.0,845.0 920 | 918,949,2015-06-11,1012.0,356.0,12,-81.0,846.0 921 | 919,953,2015-06-12,1013.0,356.0,12,-80.0,846.0 922 | 920,950,2015-06-13,1014.0,357.0,12,-77.0,846.0 923 | 921,951,2015-06-14,1015.0,357.0,12,-75.0,847.0 924 | 922,952,2015-06-16,1016.0,358.0,12,-76.0,847.0 925 | 923,955,2015-06-17,1017.0,359.0,12,-78.0,850.0 926 | 924,956,2015-06-18,1018.0,359.0,12,-79.0,850.0 927 | 925,954,2015-06-19,1019.0,0.0,1,-81.0,849.0 928 | 926,938,2015-06-20,1020.0,0.0,1,-63.0,832.0 929 | 927,942,2015-06-21,1021.0,1.0,1,-76.0,850.0 930 | 928,944,2015-06-22,1022.0,1.0,1,-75.0,852.0 931 | 929,943,2015-06-23,1023.0,2.0,1,-76.0,851.0 932 | 930,945,2015-06-24,1024.0,2.0,1,-76.0,851.0 933 | 931,958,2015-06-25,1025.0,3.0,1,-74.0,851.0 934 | 932,957,2015-06-26,1026.0,3.0,1,-78.0,851.0 935 | 933,960,2015-06-28,1028.0,4.0,1,-75.0,853.0 936 | 934,959,2015-06-29,1029.0,5.0,1,-75.0,856.0 937 | 935,961,2015-06-30,1030.0,5.0,1,-77.0,855.0 938 | 936,963,2015-07-01,1031.0,6.0,1,-76.0,854.0 939 | 937,962,2015-07-02,1032.0,6.0,1,-74.0,854.0 940 | 938,965,2015-07-03,1033.0,7.0,1,-77.0,856.0 941 | 939,964,2015-07-04,1034.0,7.0,1,-76.0,859.0 942 | 940,966,2015-07-05,1035.0,8.0,1,-77.0,857.0 943 | 941,967,2015-07-06,1036.0,8.0,1,-76.0,856.0 944 | 942,968,2015-07-07,1037.0,9.0,1,-80.0,856.0 945 | 943,969,2015-07-08,1038.0,9.0,1,-76.0,858.0 946 | 944,970,2015-07-09,1039.0,10.0,1,-77.0,857.0 947 | 945,972,2015-07-10,1040.0,10.0,1,-77.0,858.0 948 | 946,971,2015-07-11,1041.0,11.0,1,-77.0,859.0 949 | 947,973,2015-07-12,1042.0,11.0,1,-76.0,859.0 950 | 948,974,2015-07-13,1043.0,12.0,1,-77.0,860.0 951 | 949,975,2015-07-14,1044.0,12.0,1,-79.0,860.0 952 | 950,978,2015-07-15,1045.0,13.0,1,-80.0,861.0 953 | 951,979,2015-07-16,1046.0,13.0,1,-77.0,862.0 954 | 952,977,2015-07-17,1047.0,14.0,1,-77.0,863.0 955 | 953,976,2015-07-18,1048.0,14.0,1,-78.0,864.0 956 | 954,980,2015-07-19,1049.0,15.0,1,-75.0,864.0 957 | 955,981,2015-07-20,1050.0,15.0,1,-76.0,863.0 958 | 956,983,2015-07-21,1051.0,16.0,1,-76.0,864.0 959 | 957,982,2015-07-23,1052.0,16.0,1,-78.0,865.0 960 | 958,984,2015-07-24,1053.0,17.0,1,-79.0,865.0 961 | 959,985,2015-07-25,1054.0,17.0,1,-77.0,867.0 962 | 960,987,2015-07-26,1055.0,17.0,1,-77.0,868.0 963 | 961,986,2015-07-27,1056.0,18.0,1,-76.0,868.0 964 | 962,988,2015-07-28,1057.0,18.0,1,-78.0,867.0 965 | 963,989,2015-07-29,1058.0,19.0,1,-78.0,868.0 966 | 964,990,2015-07-30,1059.0,19.0,1,-78.0,870.0 967 | 965,992,2015-07-31,1060.0,20.0,1,-78.0,870.0 968 | 966,993,2015-08-01,1061.0,20.0,1,-77.0,871.0 969 | 967,991,2015-08-02,1062.0,21.0,1,-77.0,871.0 970 | 968,994,2015-08-03,1063.0,21.0,1,-79.0,871.0 971 | 969,996,2015-08-04,1064.0,22.0,1,-77.0,871.0 972 | 970,995,2015-08-05,1065.0,22.0,1,-78.0,873.0 973 | 971,997,2015-08-06,1066.0,23.0,1,-78.0,875.0 974 | 972,998,2015-08-07,1067.0,23.0,1,-79.0,875.0 975 | 973,1000,2015-08-08,1068.0,24.0,1,-76.0,874.0 976 | 974,999,2015-08-09,1069.0,24.0,1,-77.0,876.0 977 | 975,1001,2015-08-10,1070.0,25.0,1,-80.0,877.0 978 | 976,1002,2015-08-11,1071.0,25.0,1,-78.0,878.0 979 | 977,1003,2015-08-12,1072.0,26.0,1,-78.0,879.0 980 | 978,1004,2015-08-13,1073.0,26.0,1,-82.0,879.0 981 | 979,1005,2015-08-14,1074.0,27.0,1,-77.0,878.0 982 | 980,1006,2015-08-15,1075.0,27.0,1,-77.0,879.0 983 | 981,1007,2015-08-16,1076.0,28.0,1,-81.0,880.0 984 | 982,1008,2015-08-17,1077.0,28.0,1,-79.0,880.0 985 | 983,1009,2015-08-18,1078.0,29.0,1,-80.0,881.0 986 | 984,1010,2015-08-19,1079.0,29.0,1,-80.0,882.0 987 | 985,1013,2015-08-20,1080.0,29.0,1,-77.0,882.0 988 | 986,1011,2015-08-21,1081.0,30.0,2,-77.0,882.0 989 | 987,1012,2015-08-22,1082.0,30.0,2,-79.0,882.0 990 | 988,1014,2015-08-23,1083.0,31.0,2,-80.0,883.0 991 | 989,1015,2015-08-24,1084.0,31.0,2,-78.0,885.0 992 | 990,1017,2015-08-25,1085.0,32.0,2,-79.0,886.0 993 | 991,1016,2015-08-26,1086.0,32.0,2,-77.0,885.0 994 | 992,1019,2015-08-27,1087.0,33.0,2,-78.0,885.0 995 | 993,1020,2015-08-29,1088.0,33.0,2,-77.0,885.0 996 | 994,1018,2015-08-30,1089.0,34.0,2,-76.0,885.0 997 | 995,1021,2015-08-31,1090.0,34.0,2,-78.0,886.0 998 | 996,1022,2015-09-01,1091.0,35.0,2,-77.0,886.0 999 | 997,1023,2015-09-02,1092.0,35.0,2,-79.0,886.0 1000 | 998,1024,2015-09-03,1093.0,36.0,2,-77.0,887.0 1001 | 999,1026,2015-09-04,1094.0,36.0,2,-80.0,888.0 1002 | 1000,1027,2015-09-05,1095.0,36.0,2,-79.0,888.0 1003 | 1001,1025,2015-09-06,1096.0,37.0,2,-79.0,888.0 1004 | 1002,1028,2015-09-07,1097.0,37.0,2,-78.0,889.0 1005 | 1003,1029,2015-09-08,1098.0,38.0,2,-77.0,890.0 1006 | 1004,1030,2015-09-09,1099.0,38.0,2,-78.0,891.0 1007 | 1005,1031,2015-09-10,1100.0,39.0,2,-79.0,890.0 1008 | 1006,1034,2015-09-11,1101.0,39.0,2,-80.0,891.0 1009 | 1007,1032,2015-09-12,1102.0,40.0,2,-84.0,892.0 1010 | 1008,1033,2015-09-13,1103.0,40.0,2,-81.0,893.0 1011 | 1009,1035,2015-09-14,1104.0,41.0,2,-79.0,893.0 1012 | 1010,1036,2015-09-15,1105.0,41.0,2,-78.0,892.0 1013 | 1011,1037,2015-09-16,1106.0,42.0,2,-82.0,893.0 1014 | 1012,1040,2015-09-17,1107.0,42.0,2,-79.0,893.0 1015 | 1013,1038,2015-09-18,1108.0,42.0,2,-78.0,895.0 1016 | 1014,1039,2015-09-19,1109.0,43.0,2,-82.0,895.0 1017 | 1015,1041,2015-09-20,1110.0,43.0,2,-81.0,895.0 1018 | 1016,1042,2015-09-21,1111.0,44.0,2,-79.0,896.0 1019 | 1017,1043,2015-09-22,1112.0,44.0,2,-80.0,895.0 1020 | 1018,1044,2015-09-23,1113.0,45.0,2,-79.0,895.0 1021 | 1019,1045,2015-09-24,1114.0,45.0,2,-79.0,896.0 1022 | 1020,1047,2015-09-25,1115.0,46.0,2,-80.0,897.0 1023 | 1021,1046,2015-09-26,1116.0,46.0,2,-79.0,898.0 1024 | 1022,1048,2015-09-27,1117.0,47.0,2,-79.0,898.0 1025 | 1023,1049,2015-09-28,1118.0,47.0,2,-80.0,898.0 1026 | 1024,1050,2015-09-29,1119.0,48.0,2,-81.0,899.0 1027 | 1025,1051,2015-09-30,1120.0,48.0,2,-80.0,900.0 1028 | 1026,1052,2015-10-01,1121.0,48.0,2,-81.0,901.0 1029 | 1027,1053,2015-10-02,1122.0,49.0,2,-79.0,901.0 1030 | 1028,1054,2015-10-03,1123.0,49.0,2,-79.0,900.0 1031 | 1029,1055,2015-10-04,1124.0,50.0,2,-80.0,900.0 1032 | 1030,1056,2015-10-06,1125.0,50.0,2,-79.0,900.0 1033 | 1031,1057,2015-10-07,1126.0,51.0,2,-79.0,901.0 1034 | 1032,1058,2015-10-08,1127.0,51.0,2,-80.0,901.0 1035 | 1033,1059,2015-10-09,1128.0,52.0,2,-79.0,902.0 1036 | 1034,1060,2015-10-10,1129.0,52.0,2,-80.0,902.0 1037 | 1035,1061,2015-10-11,1130.0,53.0,2,-81.0,902.0 1038 | 1036,1062,2015-10-12,1131.0,53.0,2,-81.0,902.0 1039 | 1037,1063,2015-10-13,1132.0,53.0,2,-82.0,902.0 1040 | 1038,1064,2015-10-14,1133.0,54.0,2,-82.0,902.0 1041 | 1039,1065,2015-10-15,1134.0,54.0,2,-80.0,902.0 1042 | 1040,1069,2015-10-16,1135.0,55.0,2,-81.0,901.0 1043 | 1041,1066,2015-10-17,1136.0,55.0,2,-82.0,901.0 1044 | 1042,1068,2015-10-18,1137.0,56.0,2,-81.0,901.0 1045 | 1043,1067,2015-10-19,1138.0,56.0,2,-82.0,901.0 1046 | 1044,1070,2015-10-20,1139.0,57.0,2,-80.0,901.0 1047 | 1045,1071,2015-10-21,1140.0,57.0,2,-81.0,901.0 1048 | 1046,1072,2015-10-22,1141.0,57.0,2,-82.0,902.0 1049 | 1047,1073,2015-10-23,1142.0,58.0,2,-82.0,902.0 1050 | 1048,1074,2015-10-24,1143.0,58.0,2,-82.0,901.0 1051 | 1049,1075,2015-10-25,1144.0,59.0,2,-82.0,902.0 1052 | 1050,1076,2015-10-26,1145.0,59.0,2,-82.0,903.0 1053 | 1051,1077,2015-10-27,1146.0,60.0,3,-82.0,902.0 1054 | 1052,1078,2015-10-28,1147.0,60.0,3,-80.0,901.0 1055 | 1053,1080,2015-10-29,1148.0,61.0,3,-80.0,901.0 1056 | 1054,1079,2015-10-30,1149.0,61.0,3,-81.0,902.0 1057 | 1055,1081,2015-10-31,1150.0,62.0,3,-82.0,902.0 1058 | 1056,1082,2015-11-01,1151.0,62.0,3,-82.0,901.0 1059 | 1057,1086,2015-11-02,1152.0,62.0,3,-80.0,901.0 1060 | 1058,1083,2015-11-03,1153.0,63.0,3,-82.0,900.0 1061 | 1059,1088,2015-11-04,1154.0,63.0,3,-84.0,900.0 1062 | 1060,1084,2015-11-05,1155.0,64.0,3,-84.0,900.0 1063 | 1061,1085,2015-11-06,1156.0,64.0,3,-84.0,900.0 1064 | 1062,1087,2015-11-07,1157.0,65.0,3,-82.0,900.0 1065 | 1063,1089,2015-11-08,1158.0,65.0,3,-82.0,898.0 1066 | 1064,1090,2015-11-09,1159.0,66.0,3,-82.0,898.0 1067 | 1065,1091,2015-11-10,1160.0,66.0,3,-80.0,899.0 1068 | 1066,1092,2015-11-12,1161.0,66.0,3,-83.0,898.0 1069 | 1067,1093,2015-11-13,1162.0,67.0,3,-84.0,897.0 1070 | 1068,1094,2015-11-14,1163.0,67.0,3,-86.0,896.0 1071 | 1069,1095,2015-11-15,1164.0,68.0,3,-86.0,896.0 1072 | 1070,1096,2015-11-16,1165.0,68.0,3,-84.0,897.0 1073 | 1071,1097,2015-11-17,1166.0,69.0,3,-84.0,895.0 1074 | 1072,1098,2015-11-18,1167.0,69.0,3,-84.0,894.0 1075 | 1073,1102,2015-11-19,1168.0,70.0,3,-84.0,894.0 1076 | 1074,1100,2015-11-20,1169.0,70.0,3,-89.0,894.0 1077 | 1075,1101,2015-11-21,1170.0,71.0,3,-85.0,893.0 1078 | 1076,1099,2015-11-22,1171.0,71.0,3,-87.0,892.0 1079 | 1077,1104,2015-11-23,1172.0,71.0,3,-87.0,892.0 1080 | 1078,1103,2015-11-24,1173.0,72.0,3,-87.0,892.0 1081 | 1079,1105,2015-11-25,1174.0,72.0,3,-85.0,891.0 1082 | 1080,1106,2015-11-26,1175.0,73.0,3,-85.0,890.0 1083 | 1081,1107,2015-11-27,1176.0,73.0,3,-84.0,890.0 1084 | 1082,1108,2015-11-28,1177.0,74.0,3,-84.0,888.0 1085 | 1083,1109,2015-11-29,1178.0,74.0,3,-86.0,888.0 1086 | 1084,1110,2015-11-30,1179.0,75.0,3,-85.0,887.0 1087 | 1085,1111,2015-12-01,1180.0,75.0,3,-86.0,886.0 1088 | 1086,1112,2015-12-02,1181.0,75.0,3,-86.0,885.0 1089 | 1087,1114,2015-12-03,1182.0,76.0,3,-85.0,884.0 1090 | 1088,1113,2015-12-04,1183.0,76.0,3,-86.0,883.0 1091 | 1089,1115,2015-12-05,1184.0,77.0,3,-85.0,882.0 1092 | 1090,1116,2015-12-06,1185.0,77.0,3,-84.0,881.0 1093 | 1091,1117,2015-12-07,1186.0,78.0,3,-86.0,881.0 1094 | 1092,1118,2015-12-08,1187.0,78.0,3,-84.0,881.0 1095 | 1093,1119,2015-12-09,1188.0,79.0,3,-90.0,881.0 1096 | 1094,1120,2015-12-10,1189.0,79.0,3,-87.0,879.0 1097 | 1095,1121,2015-12-11,1190.0,79.0,3,-87.0,877.0 1098 | 1096,1122,2015-12-12,1191.0,80.0,3,-87.0,876.0 1099 | 1097,1123,2015-12-13,1192.0,80.0,3,-86.0,876.0 1100 | 1098,1124,2015-12-14,1193.0,81.0,3,-84.0,875.0 1101 | 1099,1125,2015-12-15,1194.0,81.0,3,-84.0,873.0 1102 | 1100,1126,2015-12-16,1195.0,82.0,3,-86.0,872.0 1103 | 1101,1129,2015-12-17,1196.0,82.0,3,-86.0,871.0 1104 | 1102,1127,2015-12-18,1197.0,83.0,3,-85.0,869.0 1105 | 1103,1128,2015-12-20,1198.0,83.0,3,-86.0,868.0 1106 | 1104,1130,2015-12-21,1199.0,84.0,3,-86.0,868.0 1107 | 1105,1131,2015-12-22,1200.0,84.0,3,-84.0,866.0 1108 | 1106,1132,2015-12-23,1201.0,84.0,3,-85.0,866.0 1109 | 1107,1133,2015-12-24,1202.0,85.0,3,-85.0,864.0 1110 | 1108,1136,2015-12-25,1203.0,85.0,3,-85.0,863.0 1111 | 1109,1135,2015-12-26,1204.0,86.0,3,-84.0,862.0 1112 | 1110,1134,2015-12-27,1205.0,86.0,3,-86.0,861.0 1113 | 1111,1137,2015-12-28,1206.0,87.0,3,-85.0,859.0 1114 | 1112,1138,2015-12-29,1207.0,87.0,3,-85.0,858.0 1115 | 1113,1139,2015-12-30,1208.0,88.0,3,-85.0,857.0 1116 | 1114,1141,2015-12-31,1209.0,88.0,3,-85.0,855.0 1117 | 1115,1140,2016-01-01,1210.0,88.0,3,-85.0,854.0 1118 | 1116,1142,2016-01-02,1211.0,89.0,3,-83.0,853.0 1119 | 1117,1143,2016-01-03,1212.0,89.0,3,-86.0,851.0 1120 | 1118,1145,2016-01-04,1213.0,90.0,4,-84.0,851.0 1121 | 1119,1144,2016-01-05,1214.0,90.0,4,-85.0,849.0 1122 | 1120,1146,2016-01-06,1215.0,91.0,4,-85.0,848.0 1123 | 1121,1147,2016-01-07,1216.0,91.0,4,-86.0,847.0 1124 | 1122,1148,2016-01-08,1217.0,92.0,4,-88.0,846.0 1125 | 1123,1149,2016-01-09,1218.0,92.0,4,-86.0,845.0 1126 | 1124,1150,2016-01-10,1219.0,93.0,4,-87.0,844.0 1127 | 1125,1151,2016-01-11,1220.0,93.0,4,-87.0,842.0 1128 | 1126,1152,2016-01-12,1221.0,93.0,4,-87.0,841.0 1129 | 1127,1153,2016-01-13,1222.0,94.0,4,-87.0,840.0 1130 | 1128,1155,2016-01-14,1223.0,94.0,4,-88.0,839.0 1131 | 1129,1154,2016-01-15,1224.0,95.0,4,-88.0,837.0 1132 | 1130,1156,2016-01-16,1225.0,95.0,4,-87.0,836.0 1133 | 1131,1157,2016-01-17,1226.0,96.0,4,-87.0,835.0 1134 | 1132,1158,2016-01-18,1227.0,96.0,4,-88.0,833.0 1135 | 1133,1159,2016-01-19,1228.0,97.0,4,-88.0,832.0 1136 | 1134,1160,2016-01-20,1229.0,97.0,4,-88.0,831.0 1137 | 1135,1161,2016-01-21,1230.0,98.0,4,-88.0,830.0 1138 | 1136,1162,2016-01-22,1231.0,98.0,4,-88.0,828.0 1139 | 1137,1163,2016-01-23,1232.0,99.0,4,-88.0,827.0 1140 | 1138,1164,2016-01-24,1233.0,99.0,4,-88.0,826.0 1141 | 1139,1166,2016-01-26,1234.0,99.0,4,-88.0,824.0 1142 | 1140,1165,2016-01-27,1235.0,100.0,4,-88.0,824.0 1143 | 1141,1170,2016-01-28,1236.0,100.0,4,-87.0,822.0 1144 | 1142,1169,2016-01-29,1237.0,101.0,4,-88.0,820.0 1145 | 1143,1167,2016-01-30,1238.0,101.0,4,-87.0,819.0 1146 | 1144,1168,2016-01-31,1239.0,102.0,4,-89.0,818.0 1147 | 1145,1171,2016-02-01,1240.0,102.0,4,-87.0,816.0 1148 | 1146,1172,2016-02-02,1241.0,103.0,4,-87.0,816.0 1149 | 1147,1173,2016-02-03,1242.0,103.0,4,-87.0,815.0 1150 | 1148,1174,2016-02-04,1243.0,104.0,4,-86.0,814.0 1151 | 1149,1175,2016-02-05,1244.0,104.0,4,-85.0,812.0 1152 | 1150,1176,2016-02-06,1245.0,105.0,4,-86.0,811.0 1153 | 1151,1178,2016-02-07,1246.0,105.0,4,-85.0,810.0 1154 | 1152,1177,2016-02-08,1247.0,105.0,4,-85.0,809.0 1155 | 1153,1179,2016-02-09,1248.0,106.0,4,-86.0,807.0 1156 | 1154,1180,2016-02-10,1249.0,106.0,4,-85.0,806.0 1157 | 1155,1182,2016-02-11,1250.0,107.0,4,-85.0,804.0 1158 | 1156,1185,2016-02-12,1251.0,107.0,4,-85.0,803.0 1159 | 1157,1184,2016-02-13,1252.0,108.0,4,-85.0,802.0 1160 | 1158,1181,2016-02-14,1253.0,108.0,4,-85.0,800.0 1161 | 1159,1183,2016-02-15,1254.0,109.0,4,-84.0,799.0 1162 | 1160,1187,2016-02-16,1255.0,109.0,4,-84.0,798.0 1163 | 1161,1186,2016-02-17,1256.0,110.0,4,-84.0,797.0 1164 | 1162,1188,2016-02-18,1257.0,110.0,4,-84.0,794.0 1165 | 1163,1189,2016-02-19,1258.0,111.0,4,-83.0,794.0 1166 | 1164,1190,2016-02-20,1259.0,111.0,4,-84.0,794.0 1167 | 1165,1191,2016-02-21,1260.0,112.0,4,-83.0,792.0 1168 | 1166,1192,2016-02-22,1261.0,112.0,4,-81.0,790.0 1169 | 1167,1193,2016-02-23,1262.0,112.0,4,-81.0,790.0 1170 | 1168,1194,2016-02-24,1263.0,113.0,4,-84.0,788.0 1171 | 1169,1195,2016-02-25,1264.0,113.0,4,-84.0,787.0 1172 | 1170,1197,2016-02-26,1265.0,114.0,4,-81.0,787.0 1173 | 1171,1196,2016-02-27,1266.0,114.0,4,-82.0,787.0 1174 | 1172,1198,2016-02-28,1267.0,115.0,4,-83.0,786.0 1175 | 1173,1199,2016-02-29,1268.0,115.0,4,-83.0,784.0 1176 | 1174,1201,2016-03-01,1269.0,116.0,4,-83.0,782.0 1177 | 1175,1200,2016-03-03,1270.0,116.0,4,-82.0,782.0 1178 | 1176,1202,2016-03-04,1271.0,117.0,4,-84.0,781.0 1179 | 1177,1203,2016-03-05,1272.0,117.0,4,-81.0,780.0 1180 | 1178,1204,2016-03-06,1273.0,118.0,4,-79.0,778.0 1181 | 1179,1205,2016-03-07,1274.0,118.0,4,-82.0,777.0 1182 | 1180,1206,2016-03-08,1275.0,119.0,4,-82.0,775.0 1183 | 1181,1207,2016-03-09,1276.0,119.0,4,-83.0,774.0 1184 | 1182,1208,2016-03-10,1277.0,120.0,5,-84.0,774.0 1185 | 1183,1210,2016-03-11,1278.0,120.0,5,-83.0,773.0 1186 | 1184,1209,2016-03-12,1279.0,121.0,5,-83.0,772.0 1187 | 1185,1211,2016-03-13,1280.0,121.0,5,-84.0,771.0 1188 | 1186,1212,2016-03-14,1281.0,122.0,5,-83.0,769.0 1189 | 1187,1213,2016-03-15,1282.0,122.0,5,-81.0,768.0 1190 | 1188,1214,2016-03-16,1283.0,123.0,5,-82.0,767.0 1191 | 1189,1216,2016-03-17,1284.0,123.0,5,-80.0,767.0 1192 | 1190,1217,2016-03-18,1285.0,123.0,5,-80.0,766.0 1193 | 1191,1215,2016-03-19,1286.0,124.0,5,-80.0,765.0 1194 | 1192,1218,2016-03-20,1287.0,124.0,5,-80.0,764.0 1195 | 1193,1219,2016-03-21,1288.0,125.0,5,-80.0,763.0 1196 | 1194,1220,2016-03-24,1291.0,126.0,5,-80.0,760.0 1197 | 1195,1222,2016-03-25,1292.0,127.0,5,-81.0,760.0 1198 | 1196,1221,2016-03-26,1293.0,127.0,5,-81.0,758.0 1199 | 1197,1223,2016-03-27,1294.0,128.0,5,-79.0,758.0 1200 | 1198,1224,2016-03-28,1295.0,128.0,5,-79.0,757.0 1201 | 1199,1226,2016-03-29,1296.0,129.0,5,-79.0,756.0 1202 | 1200,1225,2016-03-30,1297.0,129.0,5,-80.0,755.0 1203 | 1201,1229,2016-03-31,1298.0,130.0,5,-79.0,755.0 1204 | 1202,1228,2016-04-01,1299.0,130.0,5,-80.0,753.0 1205 | 1203,1227,2016-04-02,1300.0,131.0,5,-79.0,752.0 1206 | 1204,1230,2016-04-03,1301.0,131.0,5,-78.0,752.0 1207 | 1205,1231,2016-04-04,1302.0,132.0,5,-80.0,751.0 1208 | 1206,1232,2016-04-05,1303.0,132.0,5,-78.0,751.0 1209 | 1207,1233,2016-04-06,1304.0,133.0,5,-80.0,750.0 1210 | 1208,1235,2016-04-07,1305.0,133.0,5,-80.0,749.0 1211 | 1209,1234,2016-04-08,1306.0,134.0,5,-79.0,748.0 1212 | 1210,1236,2016-04-10,1307.0,134.0,5,-80.0,748.0 1213 | 1211,1237,2016-04-11,1308.0,135.0,5,-81.0,748.0 1214 | 1212,1238,2016-04-12,1309.0,135.0,5,-81.0,747.0 1215 | 1213,1239,2016-04-13,1310.0,136.0,5,-76.0,745.0 1216 | 1214,1240,2016-04-14,1311.0,136.0,5,-78.0,745.0 1217 | 1215,1243,2016-04-15,1312.0,137.0,5,-77.0,745.0 1218 | 1216,1241,2016-04-16,1313.0,137.0,5,-77.0,745.0 1219 | 1217,1242,2016-04-17,1314.0,138.0,5,-78.0,744.0 1220 | 1218,1244,2016-04-18,1315.0,138.0,5,-77.0,744.0 1221 | 1219,1245,2016-04-19,1316.0,139.0,5,-80.0,744.0 1222 | 1220,1246,2016-04-20,1317.0,139.0,5,-80.0,743.0 1223 | 1221,1247,2016-04-21,1318.0,140.0,5,-80.0,743.0 1224 | 1222,1248,2016-04-22,1319.0,140.0,5,-78.0,742.0 1225 | 1223,1250,2016-04-23,1320.0,141.0,5,-77.0,741.0 1226 | 1224,1249,2016-04-24,1321.0,141.0,5,-77.0,740.0 1227 | 1225,1251,2016-04-25,1322.0,142.0,5,-78.0,740.0 1228 | 1226,1252,2016-04-26,1323.0,142.0,5,-77.0,738.0 1229 | 1227,1253,2016-04-27,1324.0,143.0,5,-78.0,738.0 1230 | 1228,1256,2016-04-28,1325.0,144.0,5,-78.0,738.0 1231 | 1229,1254,2016-04-29,1326.0,144.0,5,-77.0,738.0 1232 | 1230,1255,2016-04-30,1327.0,145.0,5,-76.0,736.0 1233 | 1231,1257,2016-05-01,1328.0,145.0,5,-77.0,735.0 1234 | 1232,1258,2016-05-02,1329.0,146.0,5,-74.0,735.0 1235 | 1233,1259,2016-05-03,1330.0,146.0,5,-78.0,734.0 1236 | 1234,1260,2016-05-04,1331.0,147.0,5,-76.0,734.0 1237 | 1235,1262,2016-05-05,1332.0,147.0,5,-78.0,734.0 1238 | 1236,1263,2016-05-06,1333.0,148.0,5,-76.0,733.0 1239 | 1237,1261,2016-05-07,1334.0,148.0,5,-77.0,732.0 1240 | 1238,1264,2016-05-08,1335.0,149.0,5,-77.0,732.0 1241 | 1239,1265,2016-05-09,1336.0,149.0,5,-75.0,732.0 1242 | 1240,1266,2016-05-10,1337.0,150.0,6,-76.0,734.0 1243 | 1241,1267,2016-05-11,1338.0,150.0,6,-75.0,734.0 1244 | 1242,1268,2016-05-12,1339.0,151.0,6,-77.0,733.0 1245 | 1243,1269,2016-05-13,1340.0,151.0,6,-76.0,734.0 1246 | 1244,1270,2016-05-14,1341.0,152.0,6,-76.0,735.0 1247 | 1245,1271,2016-05-15,1342.0,152.0,6,-80.0,735.0 1248 | 1246,1272,2016-05-17,1343.0,153.0,6,-74.0,735.0 1249 | 1247,1273,2016-05-18,1344.0,153.0,6,-75.0,734.0 1250 | 1248,1276,2016-05-19,1345.0,154.0,6,-75.0,735.0 1251 | 1249,1274,2016-05-20,1346.0,155.0,6,-75.0,737.0 1252 | 1250,1277,2016-05-21,1347.0,155.0,6,-75.0,736.0 1253 | 1251,1275,2016-05-22,1348.0,156.0,6,-76.0,735.0 1254 | 1252,1278,2016-05-23,1349.0,156.0,6,-73.0,737.0 1255 | 1253,1279,2016-05-24,1350.0,157.0,6,-73.0,738.0 1256 | 1254,1280,2016-05-25,1351.0,157.0,6,-72.0,739.0 1257 | 1255,1283,2016-05-26,1352.0,158.0,6,-73.0,736.0 1258 | 1256,1281,2016-05-27,1353.0,158.0,6,-76.0,737.0 1259 | 1257,1282,2016-05-28,1354.0,159.0,6,-75.0,739.0 1260 | 1258,1284,2016-05-29,1355.0,159.0,6,-75.0,740.0 1261 | 1259,1286,2016-05-30,1356.0,160.0,6,-74.0,739.0 1262 | 1260,1285,2016-05-31,1357.0,160.0,6,-72.0,738.0 1263 | 1261,1287,2016-06-01,1358.0,161.0,6,-74.0,738.0 1264 | 1262,1288,2016-06-02,1359.0,162.0,6,-76.0,739.0 1265 | 1263,1289,2016-06-03,1360.0,162.0,6,-76.0,739.0 1266 | 1264,1290,2016-06-04,1361.0,163.0,6,-75.0,739.0 1267 | 1265,1291,2016-06-05,1362.0,163.0,6,-74.0,739.0 1268 | 1266,1292,2016-06-06,1363.0,164.0,6,-75.0,740.0 1269 | 1267,1293,2016-06-07,1364.0,164.0,6,-74.0,740.0 1270 | 1268,1294,2016-06-08,1365.0,165.0,6,-74.0,739.0 1271 | 1269,1295,2016-06-09,1366.0,165.0,6,-75.0,740.0 1272 | 1270,1296,2016-06-10,1367.0,166.0,6,-74.0,743.0 1273 | 1271,1297,2016-06-11,1368.0,167.0,6,-74.0,743.0 1274 | 1272,1299,2016-06-12,1369.0,167.0,6,-73.0,742.0 1275 | 1273,1298,2016-06-13,1370.0,168.0,6,-74.0,744.0 1276 | 1274,1301,2016-06-14,1371.0,168.0,6,-75.0,746.0 1277 | 1275,1300,2016-06-15,1372.0,169.0,6,-74.0,745.0 1278 | 1276,1303,2016-06-16,1373.0,169.0,6,-74.0,746.0 1279 | 1277,1302,2016-06-17,1374.0,170.0,6,-75.0,748.0 1280 | 1278,1304,2016-06-18,1375.0,170.0,6,-73.0,749.0 1281 | 1279,1305,2016-06-19,1376.0,171.0,6,-75.0,749.0 1282 | 1280,1306,2016-06-20,1377.0,172.0,6,-76.0,749.0 1283 | 1281,1308,2016-06-21,1378.0,172.0,6,-76.0,751.0 1284 | 1282,1307,2016-06-23,1379.0,173.0,6,-77.0,751.0 1285 | 1283,1311,2016-06-24,1380.0,173.0,6,-74.0,751.0 1286 | 1284,1309,2016-06-25,1381.0,174.0,6,-73.0,751.0 1287 | 1285,1310,2016-06-26,1382.0,174.0,6,-76.0,752.0 1288 | 1286,1312,2016-06-27,1383.0,175.0,6,-73.0,752.0 1289 | 1287,1313,2016-06-28,1384.0,176.0,6,-74.0,753.0 1290 | 1288,1314,2016-06-29,1385.0,176.0,6,-75.0,755.0 1291 | 1289,1315,2016-06-30,1386.0,177.0,6,-74.0,755.0 1292 | 1290,1316,2016-07-01,1387.0,177.0,6,-74.0,755.0 1293 | 1291,1317,2016-07-02,1388.0,178.0,6,-73.0,756.0 1294 | 1292,1318,2016-07-12,1398.0,184.0,7,-66.0,751.0 1295 | 1293,1319,2016-07-13,1399.0,184.0,7,-73.0,770.0 1296 | 1294,1322,2016-07-14,1400.0,185.0,7,-73.0,770.0 1297 | 1295,1321,2016-07-15,1401.0,185.0,7,-73.0,770.0 1298 | 1296,1320,2016-07-16,1402.0,186.0,7,-75.0,771.0 1299 | 1297,1323,2016-07-17,1403.0,187.0,7,-75.0,771.0 1300 | 1298,1324,2016-07-18,1404.0,187.0,7,-75.0,774.0 1301 | 1299,1325,2016-07-19,1405.0,188.0,7,-75.0,775.0 1302 | 1300,1328,2016-07-20,1406.0,188.0,7,-76.0,775.0 1303 | 1301,1329,2016-07-21,1407.0,189.0,7,-74.0,779.0 1304 | 1302,1327,2016-07-22,1408.0,190.0,7,-75.0,779.0 1305 | 1303,1326,2016-07-23,1409.0,190.0,7,-74.0,781.0 1306 | 1304,1330,2016-07-24,1410.0,191.0,7,-72.0,782.0 1307 | 1305,1331,2016-07-25,1411.0,191.0,7,-72.0,782.0 1308 | 1306,1333,2016-07-26,1412.0,192.0,7,-78.0,784.0 1309 | 1307,1332,2016-07-27,1413.0,193.0,7,-72.0,784.0 1310 | 1308,1336,2016-07-28,1414.0,193.0,7,-73.0,785.0 1311 | 1309,1334,2016-07-29,1415.0,194.0,7,-72.0,787.0 1312 | 1310,1335,2016-07-31,1416.0,194.0,7,-72.0,791.0 1313 | 1311,1337,2016-08-01,1417.0,195.0,7,-70.0,791.0 1314 | 1312,1338,2016-08-02,1418.0,196.0,7,-73.0,793.0 1315 | 1313,1339,2016-08-03,1419.0,196.0,7,-73.0,793.0 1316 | 1314,1340,2016-08-04,1420.0,197.0,7,-71.0,793.0 1317 | 1315,1343,2016-08-05,1421.0,197.0,7,-72.0,797.0 1318 | 1316,1342,2016-08-06,1422.0,198.0,7,-72.0,798.0 1319 | 1317,1341,2016-08-07,1423.0,199.0,7,-71.0,800.0 1320 | 1318,1344,2016-08-08,1424.0,199.0,7,-72.0,803.0 1321 | 1319,1345,2016-08-09,1425.0,200.0,7,-72.0,804.0 1322 | 1320,1346,2016-08-10,1426.0,200.0,7,-71.0,803.0 1323 | 1321,1347,2016-08-11,1427.0,201.0,7,-72.0,807.0 1324 | 1322,1348,2016-08-12,1428.0,202.0,7,-72.0,808.0 1325 | 1323,1349,2016-08-13,1429.0,202.0,7,-70.0,810.0 1326 | 1324,1351,2016-08-14,1430.0,203.0,7,-69.0,810.0 1327 | 1325,1350,2016-08-15,1431.0,204.0,7,-69.0,811.0 1328 | 1326,1352,2016-08-16,1432.0,204.0,7,-71.0,813.0 1329 | 1327,1353,2016-08-17,1433.0,205.0,7,-70.0,818.0 1330 | 1328,1356,2016-08-18,1434.0,205.0,7,-70.0,818.0 1331 | 1329,1355,2016-08-19,1435.0,206.0,7,-71.0,823.0 1332 | 1330,1354,2016-08-20,1436.0,207.0,7,-72.0,825.0 1333 | 1331,1357,2016-08-21,1437.0,207.0,7,-71.0,821.0 1334 | 1332,1358,2016-08-22,1438.0,208.0,7,-68.0,823.0 1335 | 1333,1360,2016-08-23,1439.0,208.0,7,-71.0,828.0 1336 | 1334,1359,2016-08-24,1440.0,209.0,7,-70.0,828.0 1337 | 1335,1361,2016-08-25,1441.0,210.0,8,-74.0,828.0 1338 | 1336,1362,2016-08-26,1442.0,210.0,8,-68.0,829.0 1339 | 1337,1363,2016-08-27,1443.0,211.0,8,-69.0,831.0 1340 | 1338,1364,2016-08-28,1444.0,212.0,8,-69.0,833.0 1341 | 1339,1365,2016-08-29,1445.0,212.0,8,-69.0,836.0 1342 | 1340,1366,2016-08-30,1446.0,213.0,8,-70.0,841.0 1343 | 1341,1367,2016-08-31,1447.0,214.0,8,-74.0,841.0 1344 | 1342,1369,2016-09-01,1448.0,214.0,8,-69.0,841.0 1345 | 1343,1368,2016-09-02,1449.0,215.0,8,-71.0,841.0 1346 | 1344,1370,2016-09-03,1450.0,215.0,8,-69.0,842.0 1347 | 1345,1371,2016-09-04,1451.0,216.0,8,-71.0,842.0 1348 | 1346,1373,2016-09-06,1452.0,217.0,8,-74.0,845.0 1349 | 1347,1372,2016-09-07,1453.0,217.0,8,-73.0,850.0 1350 | 1348,1374,2016-09-08,1454.0,218.0,8,-69.0,854.0 1351 | 1349,1377,2016-09-09,1455.0,219.0,8,-70.0,858.0 1352 | 1350,1376,2016-09-10,1456.0,219.0,8,-69.0,859.0 1353 | 1351,1375,2016-09-11,1457.0,220.0,8,-69.0,860.0 1354 | 1352,1378,2016-09-12,1458.0,220.0,8,-69.0,859.0 1355 | 1353,1379,2016-09-13,1459.0,221.0,8,-71.0,861.0 1356 | 1354,1380,2016-09-14,1460.0,222.0,8,-70.0,865.0 1357 | 1355,1382,2016-09-15,1461.0,222.0,8,-69.0,870.0 1358 | 1356,1381,2016-09-16,1462.0,223.0,8,-68.0,871.0 1359 | 1357,1383,2016-09-17,1463.0,224.0,8,-68.0,871.0 1360 | 1358,1384,2016-09-18,1464.0,224.0,8,-71.0,871.0 1361 | 1359,1385,2016-09-19,1465.0,225.0,8,-68.0,870.0 1362 | 1360,1386,2016-09-20,1466.0,226.0,8,-67.0,873.0 1363 | 1361,1387,2016-09-21,1467.0,226.0,8,-69.0,877.0 1364 | 1362,1388,2016-09-22,1468.0,227.0,8,-70.0,879.0 1365 | 1363,1389,2016-09-23,1469.0,228.0,8,-72.0,881.0 1366 | 1364,1391,2016-09-24,1470.0,228.0,8,-70.0,879.0 1367 | 1365,1392,2016-09-25,1471.0,229.0,8,-71.0,880.0 1368 | 1366,1390,2016-09-26,1472.0,229.0,8,-68.0,879.0 1369 | 1367,1393,2016-09-27,1473.0,230.0,8,-67.0,881.0 1370 | 1368,1394,2016-09-28,1474.0,231.0,8,-68.0,889.0 1371 | 1369,1396,2016-09-29,1475.0,231.0,8,-72.0,890.0 1372 | 1370,1395,2016-09-30,1476.0,232.0,8,-69.0,888.0 1373 | 1371,1397,2016-10-01,1477.0,233.0,8,-72.0,888.0 1374 | 1372,1399,2016-10-02,1478.0,233.0,8,-68.0,887.0 1375 | 1373,1398,2016-10-03,1479.0,234.0,8,-66.0,890.0 1376 | 1374,1400,2016-10-04,1480.0,235.0,8,-68.0,893.0 1377 | 1375,1401,2016-10-05,1481.0,235.0,8,-70.0,893.0 1378 | 1376,1403,2016-10-06,1482.0,236.0,8,-68.0,893.0 1379 | 1377,1402,2016-10-07,1483.0,237.0,8,-68.0,892.0 1380 | 1378,1404,2016-10-08,1484.0,237.0,8,-68.0,895.0 1381 | 1379,1405,2016-10-09,1485.0,238.0,8,-71.0,899.0 1382 | 1380,1406,2016-10-10,1486.0,239.0,8,-71.0,901.0 1383 | 1381,1407,2016-10-11,1487.0,239.0,8,-68.0,901.0 1384 | 1382,1408,2016-10-12,1488.0,240.0,9,-69.0,902.0 1385 | 1383,1410,2016-10-14,1489.0,240.0,9,-68.0,903.0 1386 | 1384,1411,2016-10-15,1490.0,241.0,9,-66.0,904.0 1387 | 1385,1409,2016-10-16,1491.0,242.0,9,-69.0,906.0 1388 | 1386,1412,2016-10-17,1492.0,242.0,9,-68.0,910.0 1389 | 1387,1413,2016-10-18,1493.0,243.0,9,-70.0,905.0 1390 | 1388,1414,2016-10-19,1494.0,244.0,9,-70.0,904.0 1391 | 1389,1416,2016-10-20,1495.0,244.0,9,-71.0,903.0 1392 | 1390,1415,2016-10-21,1496.0,245.0,9,-72.0,906.0 1393 | 1391,1417,2016-10-22,1497.0,246.0,9,-68.0,909.0 1394 | 1392,1418,2016-10-23,1498.0,246.0,9,-68.0,907.0 1395 | 1393,1419,2016-10-24,1499.0,247.0,9,-69.0,903.0 1396 | 1394,1420,2016-10-25,1500.0,248.0,9,-70.0,903.0 1397 | 1395,1421,2016-10-26,1501.0,248.0,9,-69.0,903.0 1398 | 1396,1422,2016-10-27,1502.0,249.0,9,-69.0,907.0 1399 | 1397,1424,2016-10-28,1503.0,250.0,9,-70.0,909.0 1400 | 1398,1423,2016-10-29,1504.0,250.0,9,-69.0,910.0 1401 | 1399,1425,2016-10-30,1505.0,251.0,9,-69.0,906.0 1402 | 1400,1426,2016-10-31,1506.0,252.0,9,-71.0,907.0 1403 | 1401,1427,2016-11-01,1507.0,252.0,9,-70.0,907.0 1404 | 1402,1428,2016-11-02,1508.0,253.0,9,-70.0,907.0 1405 | 1403,1430,2016-11-03,1509.0,254.0,9,-70.0,910.0 1406 | 1404,1431,2016-11-04,1510.0,254.0,9,-70.0,908.0 1407 | 1405,1429,2016-11-05,1511.0,255.0,9,-77.0,908.0 1408 | 1406,1432,2016-11-06,1512.0,255.0,9,-78.0,906.0 1409 | 1407,1433,2016-11-07,1513.0,256.0,9,-74.0,907.0 1410 | 1408,1434,2016-11-08,1514.0,257.0,9,-73.0,906.0 1411 | 1409,1435,2016-11-09,1515.0,257.0,9,-76.0,906.0 1412 | 1410,1436,2016-11-10,1516.0,258.0,9,-71.0,909.0 1413 | 1411,1437,2016-11-11,1517.0,259.0,9,-76.0,911.0 1414 | 1412,1438,2016-11-12,1518.0,259.0,9,-78.0,909.0 1415 | 1413,1440,2016-11-13,1519.0,260.0,9,-72.0,906.0 1416 | 1414,1439,2016-11-14,1520.0,261.0,9,-73.0,905.0 1417 | 1415,1441,2016-11-15,1521.0,261.0,9,-71.0,905.0 1418 | 1416,1442,2016-11-16,1522.0,262.0,9,-71.0,905.0 1419 | 1417,1443,2016-11-17,1523.0,263.0,9,-77.0,905.0 1420 | 1418,1444,2016-11-18,1524.0,263.0,9,-76.0,904.0 1421 | 1419,1445,2016-11-20,1525.0,264.0,9,-74.0,902.0 1422 | 1420,1446,2016-11-21,1526.0,265.0,9,-72.0,900.0 1423 | 1421,1449,2016-11-22,1527.0,265.0,9,-71.0,900.0 1424 | 1422,1450,2016-11-23,1528.0,266.0,9,-72.0,898.0 1425 | 1423,1451,2016-11-24,1529.0,267.0,9,-73.0,900.0 1426 | 1424,1452,2016-11-25,1530.0,267.0,9,-71.0,899.0 1427 | 1425,1447,2016-11-26,1531.0,268.0,9,-76.0,900.0 1428 | 1426,1448,2016-11-27,1532.0,268.0,9,-72.0,900.0 1429 | 1427,1453,2016-11-28,1533.0,269.0,9,-72.0,896.0 1430 | 1428,1454,2016-11-29,1534.0,270.0,10,-73.0,898.0 1431 | 1429,1455,2016-11-30,1535.0,270.0,10,-73.0,900.0 1432 | 1430,1456,2016-12-01,1536.0,271.0,10,-71.0,901.0 1433 | 1431,1458,2016-12-02,1537.0,272.0,10,-74.0,900.0 1434 | 1432,1457,2016-12-03,1538.0,272.0,10,-73.0,898.0 1435 | 1433,1459,2016-12-04,1539.0,273.0,10,-74.0,896.0 1436 | 1434,1460,2016-12-05,1540.0,274.0,10,-72.0,896.0 1437 | 1435,1461,2016-12-06,1541.0,274.0,10,-76.0,895.0 1438 | 1436,1462,2016-12-07,1542.0,275.0,10,-73.0,895.0 1439 | 1437,1464,2016-12-08,1543.0,276.0,10,-74.0,896.0 1440 | 1438,1463,2016-12-09,1544.0,276.0,10,-71.0,894.0 1441 | 1439,1465,2016-12-10,1545.0,277.0,10,-73.0,891.0 1442 | 1440,1467,2016-12-11,1546.0,277.0,10,-73.0,889.0 1443 | 1441,1466,2016-12-12,1547.0,278.0,10,-75.0,887.0 1444 | 1442,1468,2016-12-13,1548.0,279.0,10,-76.0,887.0 1445 | 1443,1469,2016-12-14,1549.0,279.0,10,-76.0,887.0 1446 | 1444,1472,2016-12-15,1550.0,280.0,10,-71.0,888.0 1447 | 1445,1471,2016-12-16,1551.0,281.0,10,-71.0,886.0 1448 | 1446,1470,2016-12-17,1552.0,281.0,10,-74.0,886.0 1449 | 1447,1474,2016-12-18,1553.0,282.0,10,-77.0,884.0 1450 | 1448,1473,2016-12-19,1554.0,283.0,10,-70.0,882.0 1451 | 1449,1477,2016-12-20,1555.0,283.0,10,-71.0,883.0 1452 | 1450,1478,2016-12-21,1556.0,284.0,10,-72.0,883.0 1453 | 1451,1475,2016-12-22,1557.0,284.0,10,-70.0,883.0 1454 | 1452,1476,2016-12-23,1558.0,285.0,10,-72.0,880.0 1455 | 1453,1484,2016-12-24,1559.0,286.0,10,-76.0,879.0 1456 | 1454,1482,2016-12-25,1560.0,286.0,10,-76.0,877.0 1457 | 1455,1485,2016-12-27,1561.0,287.0,10,-77.0,877.0 1458 | 1456,1479,2016-12-28,1562.0,288.0,10,-73.0,877.0 1459 | 1457,1483,2016-12-29,1563.0,288.0,10,-75.0,879.0 1460 | 1458,1481,2016-12-30,1564.0,289.0,10,-70.0,877.0 1461 | 1459,1480,2016-12-31,1565.0,290.0,10,-72.0,874.0 1462 | 1460,1487,2017-01-01,1566.0,290.0,10,-76.0,876.0 1463 | 1461,1486,2017-01-02,1567.0,291.0,10,-70.0,872.0 1464 | 1462,1488,2017-01-03,1568.0,291.0,10,-71.0,876.0 1465 | 1463,1492,2017-01-04,1569.0,292.0,10,-70.0,873.0 1466 | 1464,1491,2017-01-05,1570.0,293.0,10,-71.0,873.0 1467 | 1465,1490,2017-01-06,1571.0,293.0,10,-70.0,873.0 1468 | 1466,1489,2017-01-07,1572.0,294.0,10,-81.0,869.0 1469 | 1467,1493,2017-01-08,1573.0,295.0,10,-74.0,872.0 1470 | 1468,1495,2017-01-09,1574.0,295.0,10,-72.0,868.0 1471 | 1469,1494,2017-01-10,1575.0,296.0,10,-73.0,871.0 1472 | 1470,1496,2017-01-11,1576.0,296.0,10,-72.0,869.0 1473 | 1471,1498,2017-01-12,1577.0,297.0,10,-72.0,866.0 1474 | 1472,1499,2017-01-13,1578.0,298.0,10,-74.0,868.0 1475 | 1473,1500,2017-01-14,1579.0,298.0,10,-73.0,862.0 1476 | 1474,1497,2017-01-15,1580.0,299.0,10,-72.0,867.0 1477 | 1475,1501,2017-01-16,1581.0,299.0,10,-72.0,862.0 1478 | 1476,1503,2017-01-17,1582.0,300.0,11,-74.0,862.0 1479 | 1477,1502,2017-01-18,1583.0,301.0,11,-75.0,862.0 1480 | 1478,1505,2017-01-19,1584.0,301.0,11,-77.0,860.0 1481 | 1479,1506,2017-01-20,1585.0,302.0,11,-76.0,864.0 1482 | 1480,1504,2017-01-21,1586.0,303.0,11,-72.0,858.0 1483 | 1481,1508,2017-01-22,1587.0,303.0,11,-73.0,860.0 1484 | 1482,1507,2017-01-23,1588.0,304.0,11,-72.0,858.0 1485 | 1483,1510,2017-01-24,1589.0,304.0,11,-72.0,857.0 1486 | 1484,1509,2017-01-25,1590.0,305.0,11,-76.0,860.0 1487 | 1485,1512,2017-01-26,1591.0,306.0,11,-73.0,852.0 1488 | 1486,1511,2017-01-27,1592.0,306.0,11,-71.0,857.0 1489 | 1487,1513,2017-01-28,1593.0,307.0,11,-72.0,852.0 1490 | 1488,1514,2017-01-29,1594.0,307.0,11,-74.0,855.0 1491 | 1489,1515,2017-01-30,1595.0,308.0,11,-71.0,855.0 1492 | 1490,1516,2017-01-31,1596.0,309.0,11,-74.0,850.0 1493 | 1491,1517,2017-02-01,1597.0,309.0,11,-73.0,855.0 1494 | 1492,1519,2017-02-03,1598.0,310.0,11,-70.0,849.0 1495 | 1493,1518,2017-02-04,1599.0,310.0,11,-72.0,853.0 1496 | 1494,1520,2017-02-05,1600.0,311.0,11,-71.0,850.0 1497 | 1495,1522,2017-02-06,1601.0,312.0,11,-71.0,853.0 1498 | 1496,1521,2017-02-07,1602.0,312.0,11,-77.0,852.0 1499 | 1497,1523,2017-02-08,1603.0,313.0,11,-76.0,847.0 1500 | 1498,1524,2017-02-09,1604.0,313.0,11,-77.0,850.0 1501 | 1499,1526,2017-02-10,1605.0,314.0,11,-73.0,846.0 1502 | 1500,1525,2017-02-11,1606.0,315.0,11,-75.0,850.0 1503 | 1501,1528,2017-02-12,1607.0,315.0,11,-77.0,846.0 1504 | 1502,1527,2017-02-13,1608.0,316.0,11,-72.0,847.0 1505 | 1503,1529,2017-02-14,1609.0,316.0,11,-71.0,847.0 1506 | 1504,1534,2017-02-18,1613.0,319.0,11,-72.0,846.0 1507 | 1505,1533,2017-02-19,1614.0,319.0,11,-73.0,837.0 1508 | 1506,1536,2017-02-20,1615.0,320.0,11,-73.0,842.0 1509 | 1507,1535,2017-02-21,1616.0,320.0,11,-73.0,848.0 1510 | 1508,1537,2017-02-22,1617.0,321.0,11,-72.0,840.0 1511 | 1509,1540,2017-02-23,1618.0,322.0,11,-71.0,845.0 1512 | 1510,1538,2017-02-24,1619.0,322.0,11,-73.0,841.0 1513 | 1511,1539,2017-02-25,1620.0,323.0,11,-70.0,844.0 1514 | 1512,1541,2017-02-26,1621.0,323.0,11,-73.0,842.0 1515 | 1513,1542,2017-02-27,1622.0,324.0,11,-71.0,841.0 1516 | 1514,1544,2017-02-28,1623.0,324.0,11,-71.0,840.0 1517 | 1515,1543,2017-03-01,1624.0,325.0,11,-72.0,837.0 1518 | 1516,1546,2017-03-02,1625.0,326.0,11,-71.0,839.0 1519 | 1517,1545,2017-03-03,1626.0,326.0,11,-71.0,839.0 1520 | 1518,1547,2017-03-04,1627.0,327.0,11,-72.0,838.0 1521 | 1519,1549,2017-03-05,1628.0,327.0,11,-71.0,839.0 1522 | 1520,1548,2017-03-06,1629.0,328.0,11,-74.0,837.0 1523 | 1521,1551,2017-03-07,1630.0,328.0,11,-77.0,838.0 1524 | 1522,1550,2017-03-08,1631.0,329.0,11,-77.0,837.0 1525 | 1523,1552,2017-03-09,1632.0,330.0,12,-72.0,836.0 1526 | 1524,1554,2017-03-10,1633.0,330.0,12,-75.0,834.0 1527 | 1525,1553,2017-03-12,1634.0,331.0,12,-72.0,834.0 1528 | 1526,1555,2017-03-13,1635.0,331.0,12,-73.0,833.0 1529 | 1527,1556,2017-03-14,1636.0,332.0,12,-72.0,834.0 1530 | 1528,1557,2017-03-15,1637.0,332.0,12,-73.0,833.0 1531 | 1529,1559,2017-03-16,1638.0,333.0,12,-73.0,833.0 1532 | 1530,1558,2017-03-17,1639.0,334.0,12,-71.0,832.0 1533 | 1531,1561,2017-03-18,1640.0,334.0,12,-72.0,832.0 1534 | 1532,1560,2017-03-19,1641.0,335.0,12,-72.0,831.0 1535 | 1533,1564,2017-03-20,1642.0,335.0,12,-72.0,829.0 1536 | 1534,1563,2017-03-21,1643.0,336.0,12,-74.0,832.0 1537 | 1535,1562,2017-03-22,1644.0,336.0,12,-74.0,832.0 1538 | 1536,1567,2017-03-23,1645.0,337.0,12,-74.0,832.0 1539 | 1537,1565,2017-03-24,1646.0,337.0,12,-74.0,831.0 1540 | 1538,1566,2017-03-25,1647.0,338.0,12,-73.0,831.0 1541 | 1539,1568,2017-03-26,1648.0,339.0,12,-73.0,830.0 1542 | 1540,1569,2017-03-27,1649.0,339.0,12,-74.0,830.0 1543 | 1541,1570,2017-03-28,1650.0,340.0,12,-75.0,833.0 1544 | 1542,1571,2017-03-29,1651.0,340.0,12,-77.0,833.0 1545 | 1543,1572,2017-03-30,1652.0,341.0,12,-76.0,834.0 1546 | 1544,1573,2017-03-31,1653.0,341.0,12,-75.0,833.0 1547 | 1545,1575,2017-04-01,1654.0,342.0,12,-75.0,829.0 1548 | 1546,1574,2017-04-02,1655.0,342.0,12,-76.0,831.0 1549 | 1547,1576,2017-04-03,1656.0,343.0,12,-75.0,832.0 1550 | 1548,1578,2017-04-04,1657.0,343.0,12,-75.0,836.0 1551 | 1549,1577,2017-04-05,1658.0,344.0,12,-77.0,835.0 1552 | 1550,1579,2017-04-06,1659.0,345.0,12,-77.0,832.0 1553 | 1551,1581,2017-04-07,1660.0,345.0,12,-74.0,832.0 1554 | 1552,1580,2017-04-08,1661.0,346.0,12,-75.0,831.0 1555 | 1553,1583,2017-04-09,1662.0,346.0,12,-75.0,831.0 1556 | 1554,1584,2017-04-10,1663.0,347.0,12,-74.0,832.0 1557 | 1555,1586,2017-04-11,1664.0,347.0,12,-74.0,832.0 1558 | 1556,1585,2017-04-12,1665.0,348.0,12,-76.0,833.0 1559 | 1557,1582,2017-04-13,1666.0,348.0,12,-76.0,834.0 1560 | 1558,1588,2017-04-14,1667.0,349.0,12,-76.0,833.0 1561 | 1559,1587,2017-04-15,1668.0,349.0,12,-77.0,831.0 1562 | 1560,1589,2017-04-16,1669.0,350.0,12,-74.0,833.0 1563 | 1561,1590,2017-04-18,1670.0,350.0,12,-76.0,834.0 1564 | 1562,1591,2017-04-19,1671.0,351.0,12,-76.0,832.0 1565 | 1563,1592,2017-04-20,1672.0,351.0,12,-74.0,833.0 1566 | 1564,1594,2017-04-21,1673.0,352.0,12,-75.0,836.0 1567 | 1565,1593,2017-04-22,1674.0,352.0,12,-75.0,835.0 1568 | 1566,1595,2017-04-23,1675.0,353.0,12,-75.0,835.0 1569 | 1567,1596,2017-04-24,1676.0,354.0,12,-76.0,837.0 1570 | 1568,1597,2017-04-25,1677.0,354.0,12,-74.0,835.0 1571 | 1569,1598,2017-04-26,1678.0,355.0,12,-74.0,836.0 1572 | 1570,1599,2017-04-27,1679.0,355.0,12,-75.0,836.0 1573 | 1571,1601,2017-04-28,1680.0,356.0,12,-74.0,835.0 1574 | 1572,1602,2017-04-29,1681.0,356.0,12,-74.0,837.0 1575 | 1573,1603,2017-04-30,1682.0,357.0,12,-76.0,839.0 1576 | 1574,1600,2017-05-01,1683.0,357.0,12,-75.0,837.0 1577 | 1575,1604,2017-05-02,1684.0,358.0,12,-75.0,837.0 1578 | 1576,1605,2017-05-03,1685.0,358.0,12,-77.0,838.0 1579 | 1577,1607,2017-05-04,1686.0,359.0,12,-75.0,838.0 1580 | 1578,1608,2017-05-05,1687.0,359.0,12,-75.0,838.0 1581 | 1579,1606,2017-05-06,1688.0,0.0,1,-76.0,840.0 1582 | 1580,1610,2017-05-07,1689.0,0.0,1,-75.0,840.0 1583 | 1581,1609,2017-05-08,1690.0,1.0,1,-76.0,840.0 1584 | 1582,1614,2017-05-10,1692.0,2.0,1,-62.0,820.0 1585 | 1583,1612,2017-05-11,1693.0,2.0,1,-76.0,840.0 1586 | 1584,1613,2017-05-12,1694.0,3.0,1,-76.0,840.0 1587 | 1585,1611,2017-05-13,1695.0,3.0,1,-77.0,840.0 1588 | 1586,1615,2017-05-14,1696.0,4.0,1,-75.0,841.0 1589 | 1587,1616,2017-05-15,1697.0,4.0,1,-77.0,841.0 1590 | 1588,1618,2017-05-16,1698.0,5.0,1,-77.0,842.0 1591 | 1589,1617,2017-05-17,1699.0,5.0,1,-76.0,843.0 1592 | 1590,1619,2017-05-18,1700.0,6.0,1,-76.0,842.0 1593 | 1591,1620,2017-05-19,1701.0,6.0,1,-76.0,841.0 1594 | 1592,1621,2017-05-20,1702.0,7.0,1,-75.0,842.0 1595 | 1593,1622,2017-05-21,1703.0,7.0,1,-76.0,843.0 1596 | 1594,1625,2017-05-22,1704.0,8.0,1,-77.0,844.0 1597 | 1595,1623,2017-05-23,1705.0,8.0,1,-76.0,845.0 1598 | 1596,1624,2017-05-24,1706.0,9.0,1,-77.0,845.0 1599 | 1597,1627,2017-05-26,1707.0,9.0,1,-77.0,846.0 1600 | 1598,1626,2017-05-27,1708.0,10.0,1,-76.0,846.0 1601 | 1599,1628,2017-05-28,1709.0,10.0,1,-76.0,847.0 1602 | 1600,1629,2017-05-29,1710.0,11.0,1,-76.0,848.0 1603 | 1601,1631,2017-05-30,1711.0,11.0,1,-75.0,848.0 1604 | 1602,1630,2017-05-31,1712.0,12.0,1,-77.0,849.0 1605 | 1603,1635,2017-06-01,1713.0,12.0,1,-75.0,850.0 1606 | 1604,1633,2017-06-02,1714.0,13.0,1,-77.0,849.0 1607 | 1605,1634,2017-06-03,1715.0,13.0,1,-77.0,851.0 1608 | 1606,1632,2017-06-04,1716.0,14.0,1,-76.0,850.0 1609 | 1607,1636,2017-06-05,1717.0,14.0,1,-76.0,851.0 1610 | 1608,1637,2017-06-06,1718.0,15.0,1,-77.0,852.0 1611 | 1609,1639,2017-06-07,1719.0,15.0,1,-77.0,853.0 1612 | 1610,1638,2017-06-08,1720.0,16.0,1,-76.0,853.0 1613 | 1611,1641,2017-06-09,1721.0,16.0,1,-76.0,852.0 1614 | 1612,1640,2017-06-10,1722.0,17.0,1,-77.0,854.0 1615 | 1613,1642,2017-06-11,1723.0,17.0,1,-76.0,854.0 1616 | 1614,1643,2017-06-12,1724.0,18.0,1,-77.0,856.0 1617 | 1615,1644,2017-06-13,1725.0,18.0,1,-79.0,857.0 1618 | 1616,1645,2017-06-14,1726.0,19.0,1,-76.0,855.0 1619 | 1617,1647,2017-06-15,1727.0,19.0,1,-75.0,855.0 1620 | 1618,1648,2017-06-16,1728.0,20.0,1,-76.0,855.0 1621 | 1619,1646,2017-06-17,1729.0,20.0,1,-76.0,858.0 1622 | 1620,1650,2017-06-18,1730.0,21.0,1,-77.0,858.0 1623 | 1621,1649,2017-06-19,1731.0,21.0,1,-78.0,857.0 1624 | 1622,1651,2017-06-20,1732.0,22.0,1,-78.0,858.0 1625 | 1623,1652,2017-06-21,1733.0,22.0,1,-77.0,859.0 1626 | 1624,1655,2017-06-22,1734.0,23.0,1,-78.0,859.0 1627 | 1625,1653,2017-06-23,1735.0,23.0,1,-78.0,861.0 1628 | 1626,1654,2017-06-24,1736.0,23.0,1,-77.0,860.0 1629 | 1627,1656,2017-06-25,1737.0,24.0,1,-78.0,861.0 1630 | 1628,1657,2017-06-26,1738.0,24.0,1,-78.0,861.0 1631 | 1629,1658,2017-06-27,1739.0,25.0,1,-77.0,861.0 1632 | 1630,1662,2017-06-28,1740.0,25.0,1,-78.0,861.0 1633 | 1631,1659,2017-06-29,1741.0,26.0,1,-78.0,863.0 1634 | 1632,1661,2017-06-30,1742.0,26.0,1,-77.0,865.0 1635 | 1633,1660,2017-07-02,1743.0,27.0,1,-78.0,863.0 1636 | 1634,1663,2017-07-03,1744.0,27.0,1,-78.0,863.0 1637 | 1635,1664,2017-07-04,1745.0,28.0,1,-78.0,865.0 1638 | 1636,1665,2017-07-05,1746.0,28.0,1,-76.0,866.0 1639 | 1637,1666,2017-07-06,1747.0,29.0,1,-79.0,866.0 1640 | 1638,1668,2017-07-07,1748.0,29.0,1,-79.0,867.0 1641 | 1639,1667,2017-07-08,1749.0,30.0,2,-76.0,867.0 1642 | 1640,1669,2017-07-09,1750.0,30.0,2,-77.0,867.0 1643 | 1641,1670,2017-07-10,1751.0,31.0,2,-78.0,867.0 1644 | 1642,1671,2017-07-11,1752.0,31.0,2,-80.0,867.0 1645 | 1643,1672,2017-07-12,1753.0,32.0,2,-76.0,868.0 1646 | 1644,1673,2017-07-13,1754.0,32.0,2,-78.0,870.0 1647 | 1645,1674,2017-07-14,1755.0,32.0,2,-77.0,870.0 1648 | 1646,1675,2017-07-15,1756.0,33.0,2,-78.0,871.0 1649 | 1647,1676,2017-07-16,1757.0,33.0,2,-78.0,871.0 1650 | 1648,1677,2017-07-17,1758.0,34.0,2,-78.0,871.0 1651 | 1649,1678,2017-07-18,1759.0,34.0,2,-77.0,871.0 1652 | 1650,1679,2017-07-19,1760.0,35.0,2,-78.0,872.0 1653 | 1651,1684,2017-07-20,1761.0,35.0,2,-77.0,872.0 1654 | 1652,1687,2017-07-21,1762.0,36.0,2,-77.0,872.0 1655 | 1653,1680,2017-07-22,1763.0,36.0,2,-78.0,873.0 1656 | 1654,1682,2017-07-23,1764.0,37.0,2,-79.0,872.0 1657 | 1655,1690,2017-07-24,1765.0,37.0,2,-77.0,873.0 1658 | 1656,1688,2017-07-25,1766.0,38.0,2,-79.0,873.0 1659 | 1657,1691,2017-07-26,1767.0,38.0,2,-77.0,874.0 1660 | 1658,1683,2017-07-27,1768.0,39.0,2,-78.0,875.0 1661 | 1659,1689,2017-07-28,1769.0,39.0,2,-76.0,875.0 1662 | 1660,1686,2017-07-29,1770.0,39.0,2,-79.0,875.0 1663 | 1661,1692,2017-07-30,1771.0,40.0,2,-79.0,876.0 1664 | 1662,1681,2017-07-31,1772.0,40.0,2,-78.0,876.0 1665 | 1663,1685,2017-08-01,1773.0,41.0,2,-78.0,876.0 1666 | 1664,1693,2017-08-02,1774.0,41.0,2,-79.0,877.0 1667 | 1665,1694,2017-08-03,1775.0,42.0,2,-80.0,877.0 1668 | 1666,1696,2017-08-04,1776.0,42.0,2,-79.0,877.0 1669 | 1667,1695,2017-08-05,1777.0,43.0,2,-79.0,877.0 1670 | 1668,1697,2017-08-06,1778.0,43.0,2,-81.0,877.0 1671 | 1669,1698,2017-08-07,1779.0,44.0,2,-78.0,878.0 1672 | 1670,1699,2017-08-09,1780.0,44.0,2,-77.0,879.0 1673 | 1671,1700,2017-08-10,1781.0,45.0,2,-78.0,879.0 1674 | 1672,1701,2017-08-11,1782.0,45.0,2,-78.0,878.0 1675 | 1673,1703,2017-08-12,1783.0,45.0,2,-79.0,879.0 1676 | 1674,1702,2017-08-13,1784.0,46.0,2,-80.0,883.0 1677 | 1675,1704,2017-08-14,1785.0,46.0,2,-77.0,881.0 1678 | 1676,1705,2017-08-16,1787.0,47.0,2,-79.0,881.0 1679 | 1677,1706,2017-08-17,1788.0,48.0,2,-79.0,881.0 1680 | 1678,1708,2017-08-18,1789.0,48.0,2,-79.0,881.0 1681 | 1679,1707,2017-08-19,1790.0,49.0,2,-81.0,882.0 1682 | 1680,1709,2017-08-20,1791.0,49.0,2,-79.0,882.0 1683 | 1681,1710,2017-08-21,1792.0,50.0,2,-80.0,883.0 1684 | 1682,1711,2017-08-22,1793.0,50.0,2,-80.0,883.0 1685 | 1683,1712,2017-08-23,1794.0,50.0,2,-80.0,883.0 1686 | 1684,1714,2017-08-24,1795.0,51.0,2,-81.0,882.0 1687 | 1685,1715,2017-08-25,1796.0,51.0,2,-80.0,883.0 1688 | 1686,1713,2017-08-26,1797.0,52.0,2,-79.0,884.0 1689 | 1687,1716,2017-08-27,1798.0,52.0,2,-79.0,883.0 1690 | 1688,1717,2017-08-28,1799.0,53.0,2,-78.0,883.0 1691 | 1689,1718,2017-08-29,1800.0,53.0,2,-80.0,883.0 1692 | 1690,1719,2017-08-30,1801.0,54.0,2,-80.0,882.0 1693 | 1691,1722,2017-08-31,1802.0,54.0,2,-79.0,882.0 1694 | 1692,1723,2017-09-01,1803.0,55.0,2,-78.0,882.0 1695 | 1693,1720,2017-09-02,1804.0,55.0,2,-78.0,883.0 1696 | 1694,1721,2017-09-03,1805.0,55.0,2,-78.0,883.0 1697 | 1695,1724,2017-09-04,1806.0,56.0,2,-80.0,884.0 1698 | 1696,1725,2017-09-05,1807.0,56.0,2,-78.0,884.0 1699 | 1697,1726,2017-09-06,1808.0,57.0,2,-79.0,884.0 1700 | 1698,1728,2017-09-07,1809.0,57.0,2,-80.0,884.0 1701 | 1699,1729,2017-09-08,1810.0,58.0,2,-78.0,883.0 1702 | 1700,1727,2017-09-09,1811.0,58.0,2,-79.0,882.0 1703 | 1701,1730,2017-09-10,1812.0,59.0,2,-79.0,882.0 1704 | 1702,1731,2017-09-11,1813.0,59.0,2,-80.0,881.0 1705 | 1703,1732,2017-09-12,1814.0,59.0,2,-80.0,881.0 1706 | 1704,1733,2017-09-13,1815.0,60.0,3,-81.0,881.0 1707 | 1705,1734,2017-09-15,1816.0,60.0,3,-82.0,882.0 1708 | 1706,1735,2017-09-16,1817.0,61.0,3,-80.0,882.0 1709 | 1707,1736,2017-09-17,1818.0,61.0,3,-81.0,881.0 1710 | 1708,1737,2017-09-18,1819.0,62.0,3,-82.0,880.0 1711 | 1709,1738,2017-09-19,1820.0,62.0,3,-79.0,881.0 1712 | 1710,1740,2017-09-20,1821.0,63.0,3,-81.0,882.0 1713 | 1711,1739,2017-09-21,1822.0,63.0,3,-78.0,881.0 1714 | 1712,1743,2017-09-22,1823.0,64.0,3,-80.0,879.0 1715 | 1713,1742,2017-09-23,1824.0,64.0,3,-80.0,879.0 1716 | 1714,1741,2017-09-24,1825.0,64.0,3,-80.0,878.0 1717 | 1715,1744,2017-09-25,1826.0,65.0,3,-80.0,878.0 1718 | 1716,1745,2017-09-26,1827.0,65.0,3,-80.0,879.0 1719 | 1717,1746,2017-09-27,1828.0,66.0,3,-80.0,878.0 1720 | 1718,1749,2017-09-28,1829.0,66.0,3,-78.0,877.0 1721 | 1719,1748,2017-09-29,1830.0,67.0,3,-80.0,877.0 1722 | 1720,1747,2017-09-30,1831.0,67.0,3,-80.0,876.0 1723 | 1721,1750,2017-10-01,1832.0,68.0,3,-84.0,875.0 1724 | 1722,1751,2017-10-02,1833.0,68.0,3,-81.0,875.0 1725 | 1723,1752,2017-10-03,1834.0,68.0,3,-80.0,875.0 1726 | 1724,1753,2017-10-04,1835.0,69.0,3,-80.0,873.0 1727 | 1725,1755,2017-10-05,1836.0,69.0,3,-81.0,873.0 1728 | 1726,1756,2017-10-06,1837.0,70.0,3,-81.0,872.0 1729 | 1727,1754,2017-10-07,1838.0,70.0,3,-79.0,872.0 1730 | 1728,1757,2017-10-08,1839.0,71.0,3,-80.0,872.0 1731 | 1729,1758,2017-10-09,1840.0,71.0,3,-77.0,871.0 1732 | 1730,1759,2017-10-10,1841.0,72.0,3,-77.0,870.0 1733 | 1731,1761,2017-10-11,1842.0,72.0,3,-79.0,869.0 1734 | 1732,1760,2017-10-12,1843.0,72.0,3,-80.0,869.0 1735 | 1733,1762,2017-10-13,1844.0,73.0,3,-81.0,869.0 1736 | 1734,1763,2017-10-14,1845.0,73.0,3,-80.0,868.0 1737 | 1735,1765,2017-10-15,1846.0,74.0,3,-80.0,868.0 1738 | 1736,1764,2017-10-16,1847.0,74.0,3,-80.0,866.0 1739 | 1737,1766,2017-10-17,1848.0,75.0,3,-80.0,865.0 1740 | 1738,1770,2017-10-18,1849.0,75.0,3,-80.0,864.0 1741 | 1739,1768,2017-10-19,1850.0,76.0,3,-80.0,864.0 1742 | 1740,1767,2017-10-20,1851.0,76.0,3,-87.0,864.0 1743 | 1741,1769,2017-10-22,1852.0,77.0,3,-80.0,863.0 1744 | 1742,1771,2017-10-23,1853.0,77.0,3,-80.0,862.0 1745 | 1743,1772,2017-10-24,1854.0,77.0,3,-80.0,861.0 1746 | 1744,1773,2017-10-25,1855.0,78.0,3,-78.0,861.0 1747 | 1745,1774,2017-10-26,1856.0,78.0,3,-80.0,859.0 1748 | 1746,1776,2017-10-27,1857.0,79.0,3,-80.0,858.0 1749 | 1747,1775,2017-10-28,1858.0,79.0,3,-81.0,857.0 1750 | 1748,1779,2017-10-29,1859.0,80.0,3,-79.0,857.0 1751 | 1749,1778,2017-10-30,1860.0,80.0,3,-80.0,857.0 1752 | 1750,1780,2017-10-31,1861.0,81.0,3,-79.0,855.0 1753 | 1751,1777,2017-11-01,1862.0,81.0,3,-81.0,854.0 1754 | 1752,1781,2017-11-02,1863.0,81.0,3,-80.0,853.0 1755 | 1753,1782,2017-11-03,1864.0,82.0,3,-82.0,852.0 1756 | 1754,1783,2017-11-04,1865.0,82.0,3,-80.0,852.0 1757 | 1755,1785,2017-11-05,1866.0,83.0,3,-80.0,850.0 1758 | 1756,1784,2017-11-06,1867.0,83.0,3,-78.0,848.0 1759 | 1757,1786,2017-11-07,1868.0,84.0,3,-80.0,848.0 1760 | 1758,1787,2017-11-08,1869.0,84.0,3,-81.0,846.0 1761 | 1759,1788,2017-11-09,1870.0,85.0,3,-81.0,845.0 1762 | 1760,1789,2017-11-10,1871.0,85.0,3,-80.0,844.0 1763 | 1761,1791,2017-11-11,1872.0,86.0,3,-79.0,843.0 1764 | 1762,1790,2017-11-12,1873.0,86.0,3,-79.0,842.0 1765 | 1763,1792,2017-11-13,1874.0,86.0,3,-80.0,840.0 1766 | 1764,1793,2017-11-14,1875.0,87.0,3,-79.0,839.0 1767 | 1765,1794,2017-11-15,1876.0,87.0,3,-79.0,838.0 1768 | 1766,1797,2017-11-16,1877.0,88.0,3,-79.0,837.0 1769 | 1767,1795,2017-11-17,1878.0,88.0,3,-79.0,835.0 1770 | 1768,1796,2017-11-18,1879.0,89.0,3,-79.0,834.0 1771 | 1769,1798,2017-11-19,1880.0,89.0,3,-79.0,833.0 1772 | 1770,1803,2017-11-20,1881.0,90.0,4,-79.0,832.0 1773 | 1771,1801,2017-11-21,1882.0,90.0,4,-78.0,831.0 1774 | 1772,1800,2017-11-22,1883.0,91.0,4,-78.0,830.0 1775 | 1773,1799,2017-11-23,1884.0,91.0,4,-79.0,829.0 1776 | 1774,1804,2017-11-24,1885.0,91.0,4,-79.0,827.0 1777 | 1775,1805,2017-11-25,1886.0,92.0,4,-79.0,826.0 1778 | 1776,1802,2017-11-26,1887.0,92.0,4,-79.0,824.0 1779 | 1777,1807,2017-11-27,1888.0,93.0,4,-79.0,823.0 1780 | 1778,1806,2017-11-29,1889.0,93.0,4,-80.0,822.0 1781 | 1779,1808,2017-11-30,1890.0,94.0,4,-79.0,821.0 1782 | 1780,1810,2017-12-01,1891.0,94.0,4,-80.0,819.0 1783 | 1781,1809,2017-12-02,1892.0,95.0,4,-81.0,817.0 1784 | 1782,1812,2017-12-03,1893.0,95.0,4,-79.0,816.0 1785 | 1783,1811,2017-12-04,1894.0,96.0,4,-79.0,815.0 1786 | 1784,1814,2017-12-05,1895.0,96.0,4,-78.0,814.0 1787 | 1785,1813,2017-12-06,1896.0,96.0,4,-79.0,812.0 1788 | 1786,1817,2017-12-07,1897.0,97.0,4,-80.0,811.0 1789 | 1787,1816,2017-12-08,1898.0,97.0,4,-81.0,810.0 1790 | 1788,1815,2017-12-09,1899.0,98.0,4,-81.0,808.0 1791 | 1789,1818,2017-12-10,1900.0,98.0,4,-81.0,807.0 1792 | 1790,1819,2017-12-11,1901.0,99.0,4,-81.0,806.0 1793 | 1791,1820,2017-12-12,1902.0,99.0,4,-79.0,804.0 1794 | 1792,1821,2017-12-13,1903.0,100.0,4,-78.0,803.0 1795 | 1793,1822,2017-12-14,1904.0,100.0,4,-79.0,801.0 1796 | 1794,1823,2017-12-15,1905.0,101.0,4,-80.0,800.0 1797 | 1795,1824,2017-12-16,1906.0,101.0,4,-79.0,799.0 1798 | 1796,1825,2017-12-17,1907.0,101.0,4,-79.0,798.0 1799 | 1797,1826,2017-12-18,1908.0,102.0,4,-79.0,796.0 1800 | 1798,1827,2017-12-19,1909.0,102.0,4,-80.0,795.0 1801 | 1799,1828,2017-12-20,1910.0,103.0,4,-80.0,794.0 1802 | 1800,1833,2017-12-21,1911.0,103.0,4,-79.0,792.0 1803 | 1801,1832,2017-12-22,1912.0,104.0,4,-80.0,791.0 1804 | 1802,1830,2017-12-23,1913.0,104.0,4,-79.0,791.0 1805 | 1803,1834,2017-12-24,1914.0,105.0,4,-78.0,790.0 1806 | 1804,1835,2017-12-25,1915.0,105.0,4,-78.0,788.0 1807 | 1805,1829,2017-12-26,1916.0,106.0,4,-79.0,787.0 1808 | 1806,1831,2017-12-27,1917.0,106.0,4,-80.0,786.0 1809 | 1807,1839,2017-12-28,1918.0,107.0,4,-77.0,784.0 1810 | 1808,1836,2017-12-29,1919.0,107.0,4,-77.0,783.0 1811 | 1809,1837,2017-12-30,1920.0,108.0,4,-77.0,782.0 1812 | 1810,1838,2017-12-31,1921.0,108.0,4,-78.0,781.0 1813 | 1811,1840,2018-01-01,1922.0,108.0,4,-79.0,780.0 1814 | 1812,1842,2018-01-02,1923.0,109.0,4,-77.0,778.0 1815 | 1813,1841,2018-01-03,1924.0,109.0,4,-78.0,777.0 1816 | 1814,1844,2018-01-05,1925.0,110.0,4,-79.0,777.0 1817 | 1815,1843,2018-01-06,1926.0,110.0,4,-80.0,775.0 1818 | 1816,1845,2018-01-07,1927.0,111.0,4,-79.0,774.0 1819 | 1817,1847,2018-01-08,1928.0,111.0,4,-78.0,773.0 1820 | 1818,1846,2018-01-09,1929.0,112.0,4,-79.0,771.0 1821 | 1819,1848,2018-01-10,1930.0,112.0,4,-79.0,770.0 1822 | 1820,1849,2018-01-11,1931.0,113.0,4,-79.0,770.0 1823 | 1821,1850,2018-01-12,1932.0,113.0,4,-79.0,768.0 1824 | 1822,1852,2018-01-13,1933.0,114.0,4,-78.0,767.0 1825 | 1823,1851,2018-01-14,1934.0,114.0,4,-79.0,766.0 1826 | 1824,1853,2018-01-15,1935.0,115.0,4,-80.0,765.0 1827 | 1825,1855,2018-01-16,1936.0,115.0,4,-79.0,764.0 1828 | 1826,1854,2018-01-17,1937.0,116.0,4,-80.0,763.0 1829 | 1827,1859,2018-01-18,1938.0,116.0,4,-78.0,762.0 1830 | 1828,1857,2018-01-19,1939.0,116.0,4,-78.0,760.0 1831 | 1829,1858,2018-01-20,1940.0,117.0,4,-77.0,759.0 1832 | 1830,1856,2018-01-21,1941.0,117.0,4,-77.0,758.0 1833 | 1831,1860,2018-01-22,1942.0,118.0,4,-78.0,757.0 1834 | 1832,1863,2018-01-23,1943.0,118.0,4,-78.0,756.0 1835 | 1833,1861,2018-01-24,1944.0,119.0,4,-80.0,755.0 1836 | 1834,1862,2018-01-25,1945.0,119.0,4,-78.0,754.0 1837 | 1835,1864,2018-01-26,1946.0,120.0,5,-79.0,753.0 1838 | 1836,1865,2018-01-27,1947.0,120.0,5,-78.0,751.0 1839 | 1837,1866,2018-01-28,1948.0,121.0,5,-78.0,752.0 1840 | 1838,1867,2018-01-29,1949.0,121.0,5,-78.0,751.0 1841 | 1839,1868,2018-01-30,1950.0,122.0,5,-79.0,750.0 1842 | 1840,1869,2018-01-31,1951.0,122.0,5,-77.0,749.0 1843 | 1841,1871,2018-02-01,1952.0,123.0,5,-80.0,748.0 1844 | 1842,1870,2018-02-02,1953.0,123.0,5,-78.0,747.0 1845 | 1843,1872,2018-02-03,1954.0,124.0,5,-77.0,745.0 1846 | 1844,1873,2018-02-04,1955.0,124.0,5,-77.0,745.0 1847 | 1845,1879,2018-02-05,1956.0,125.0,5,-79.0,744.0 1848 | 1846,1875,2018-02-06,1957.0,125.0,5,-77.0,742.0 1849 | 1847,1874,2018-02-07,1958.0,126.0,5,-77.0,741.0 1850 | 1848,1878,2018-02-08,1959.0,126.0,5,-78.0,740.0 1851 | 1849,1876,2018-02-09,1960.0,127.0,5,-78.0,740.0 1852 | 1850,1877,2018-02-11,1961.0,127.0,5,-77.0,740.0 1853 | 1851,1880,2018-02-12,1962.0,128.0,5,-78.0,738.0 1854 | 1852,1881,2018-02-13,1963.0,128.0,5,-77.0,737.0 1855 | 1853,1882,2018-02-14,1964.0,129.0,5,-76.0,736.0 1856 | 1854,1883,2018-02-15,1965.0,129.0,5,-76.0,735.0 1857 | 1855,1884,2018-02-16,1966.0,130.0,5,-77.0,735.0 1858 | 1856,1885,2018-02-17,1967.0,130.0,5,-76.0,734.0 1859 | 1857,1886,2018-02-18,1968.0,131.0,5,-76.0,732.0 1860 | 1858,1887,2018-02-19,1969.0,131.0,5,-76.0,732.0 1861 | 1859,1888,2018-02-20,1970.0,132.0,5,-77.0,731.0 1862 | 1860,1890,2018-02-21,1971.0,132.0,5,-78.0,731.0 1863 | 1861,1891,2018-02-22,1972.0,133.0,5,-78.0,730.0 1864 | 1862,1889,2018-02-23,1973.0,133.0,5,-78.0,730.0 1865 | 1863,1892,2018-02-24,1974.0,134.0,5,-77.0,729.0 1866 | 1864,1894,2018-02-25,1975.0,134.0,5,-76.0,729.0 1867 | 1865,1893,2018-02-26,1976.0,135.0,5,-77.0,728.0 1868 | 1866,1895,2018-02-27,1977.0,135.0,5,-77.0,727.0 1869 | -------------------------------------------------------------------------------- /part_1_mars_news.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "markdown", 5 | "metadata": {}, 6 | "source": [ 7 | "# Module 12 Challenge\n", 8 | "## Deliverable 1: Scrape Titles and Preview Text from Mars News" 9 | ] 10 | }, 11 | { 12 | "cell_type": "code", 13 | "execution_count": 11, 14 | "metadata": {}, 15 | "outputs": [], 16 | "source": [ 17 | "# Import Splinter and BeautifulSoup\n", 18 | "from splinter import Browser\n", 19 | "from bs4 import BeautifulSoup" 20 | ] 21 | }, 22 | { 23 | "cell_type": "code", 24 | "execution_count": 12, 25 | "metadata": { 26 | "scrolled": true 27 | }, 28 | "outputs": [], 29 | "source": [ 30 | "browser = Browser('chrome')" 31 | ] 32 | }, 33 | { 34 | "cell_type": "markdown", 35 | "metadata": {}, 36 | "source": [ 37 | "### Step 1: Visit the Website\n", 38 | "\n", 39 | "1. Use automated browsing to visit the [Mars news site](https://static.bc-edx.com/data/web/mars_news/index.html). Inspect the page to identify which elements to scrape.\n", 40 | "\n", 41 | " > **Hint** To identify which elements to scrape, you might want to inspect the page by using Chrome DevTools." 42 | ] 43 | }, 44 | { 45 | "cell_type": "code", 46 | "execution_count": 13, 47 | "metadata": {}, 48 | "outputs": [], 49 | "source": [ 50 | "# Visit the Mars news site: https://static.bc-edx.com/data/web/mars_news/index.html\n", 51 | "url='https://static.bc-edx.com/data/web/mars_news/index.html'\n", 52 | "browser.visit(url)" 53 | ] 54 | }, 55 | { 56 | "cell_type": "markdown", 57 | "metadata": {}, 58 | "source": [ 59 | "### Step 2: Scrape the Website\n", 60 | "\n", 61 | "Create a Beautiful Soup object and use it to extract text elements from the website." 62 | ] 63 | }, 64 | { 65 | "cell_type": "code", 66 | "execution_count": 14, 67 | "metadata": {}, 68 | "outputs": [], 69 | "source": [ 70 | "# Create a Beautiful Soup object\n", 71 | "html=browser.html\n", 72 | "soup=BeautifulSoup(html, 'html.parser')" 73 | ] 74 | }, 75 | { 76 | "cell_type": "code", 77 | "execution_count": 15, 78 | "metadata": {}, 79 | "outputs": [ 80 | { 81 | "data": { 82 | "text/plain": [ 83 | "
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November 9, 2022
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NASA's MAVEN Observes Martian Light Show Caused by Major Solar Storm
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For the first time in its eight years orbiting Mars, NASA’s MAVEN mission witnessed two different types of ultraviolet aurorae simultaneously, the result of solar storms that began on Aug. 27.
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November 1, 2022
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NASA Prepares to Say 'Farewell' to InSight Spacecraft
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A closer look at what goes into wrapping up the mission as the spacecraft’s power supply continues to dwindle.
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October 28, 2022
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NASA and ESA Agree on Next Steps to Return Mars Samples to Earth
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The agency’s Perseverance rover will establish the first sample depot on Mars.
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October 27, 2022
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NASA's InSight Lander Detects Stunning Meteoroid Impact on Mars
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The agency’s lander felt the ground shake during the impact while cameras aboard the Mars Reconnaissance Orbiter spotted the yawning new crater from space.
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October 21, 2022
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NASA To Host Briefing on InSight, Mars Reconnaissance Orbiter Findings
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Scientists from two Mars missions will discuss how they combined images and data for a major finding on the Red Planet.
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October 20, 2022
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Why NASA Is Trying To Crash Land on Mars
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Like a car’s crumple zone, the experimental SHIELD lander is designed to absorb a hard impact.
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October 19, 2022
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Curiosity Mars Rover Reaches Long-Awaited Salty Region
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After years of climbing, the Mars rover has arrived at a special region believed to have formed as Mars’ climate was drying.
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October 12, 2022
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Mars Mission Shields Up for Tests
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Protecting Mars Sample Return spacecraft from micrometeorites requires high-caliber work.
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October 7, 2022
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NASA's InSight Waits Out Dust Storm
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InSight’s team is taking steps to help the solar-powered lander continue operating for as long as possible.
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September 19, 2022
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NASA's InSight 'Hears' Its First Meteoroid Impacts on Mars
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The Mars lander’s seismometer has picked up vibrations from four separate impacts in the past two years.
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September 15, 2022
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NASA's Perseverance Rover Investigates Geologically Rich Mars Terrain
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The latest findings provide greater detail on a region of the Red Planet that has a watery past and is yielding promising samples for the NASA-ESA Mars Sample Return campaign.
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September 12, 2022
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NASA to Host Briefing on Perseverance Mars Rover Mission Operations
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Members of the mission will discuss the rover’s activities as it gathers samples in an ancient river delta.
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August 25, 2022
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NASA's Perseverance Makes New Discoveries in Mars' Jezero Crater
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The rover found that Jezero Crater’s floor is made up of volcanic rocks that have interacted with water.
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August 5, 2022
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10 Years Since Landing, NASA's Curiosity Mars Rover Still Has Drive
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Despite signs of wear, the intrepid spacecraft is about to start an exciting new chapter of its mission as it climbs a Martian mountain.
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August 4, 2022
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SAM's Top 5 Discoveries Aboard NASA's Curiosity Rover at Mars
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“Selfie” of the Curiosity rover with inset showing the SAM instrument prior to installation on the rover.
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" 344 | ] 345 | }, 346 | "execution_count": 15, 347 | "metadata": {}, 348 | "output_type": "execute_result" 349 | } 350 | ], 351 | "source": [ 352 | "# Extract all the text elements\n", 353 | "all_texts=soup.find('section', class_=\"image_and_description_container\")\n", 354 | "all_texts" 355 | ] 356 | }, 357 | { 358 | "cell_type": "markdown", 359 | "metadata": {}, 360 | "source": [ 361 | "### Step 3: Store the Results\n", 362 | "\n", 363 | "Extract the titles and preview text of the news articles that you scraped. Store the scraping results in Python data structures as follows:\n", 364 | "\n", 365 | "* Store each title-and-preview pair in a Python dictionary. And, give each dictionary two keys: `title` and `preview`. An example is the following:\n", 366 | "\n", 367 | " ```python\n", 368 | " {'title': \"NASA's MAVEN Observes Martian Light Show Caused by Major Solar Storm\", \n", 369 | " 'preview': \"For the first time in its eight years orbiting Mars, NASA’s MAVEN mission witnessed two different types of ultraviolet aurorae simultaneously, the result of solar storms that began on Aug. 27.\"\n", 370 | " }\n", 371 | " ```\n", 372 | "\n", 373 | "* Store all the dictionaries in a Python list.\n", 374 | "\n", 375 | "* Print the list in your notebook." 376 | ] 377 | }, 378 | { 379 | "cell_type": "code", 380 | "execution_count": 16, 381 | "metadata": {}, 382 | "outputs": [], 383 | "source": [ 384 | "# Create an empty list to store the dictionaries\n", 385 | "mars_dict= []\n" 386 | ] 387 | }, 388 | { 389 | "cell_type": "code", 390 | "execution_count": 17, 391 | "metadata": {}, 392 | "outputs": [], 393 | "source": [ 394 | "# Loop through the text elements\n", 395 | "articles=all_texts.find_all('div', class_='list_text')\n", 396 | "\n", 397 | "for article in articles:\n", 398 | "# Extract the title and preview text from the elements\n", 399 | " title=article.find('div', class_='content_title').text\n", 400 | " preview=article.find('div', class_='article_teaser_body').text\n", 401 | "# Store each title and preview pair in a dictionary\n", 402 | " summary_dict={\n", 403 | " 'title':title,\n", 404 | " 'preview': preview\n", 405 | " }\n", 406 | "# Add the dictionary to the list\n", 407 | " mars_dict.append(summary_dict)" 408 | ] 409 | }, 410 | { 411 | "cell_type": "code", 412 | "execution_count": 18, 413 | "metadata": {}, 414 | "outputs": [ 415 | { 416 | "data": { 417 | "text/plain": [ 418 | "[{'title': \"NASA's MAVEN Observes Martian Light Show Caused by Major Solar Storm\",\n", 419 | " 'preview': 'For the first time in its eight years orbiting Mars, NASA’s MAVEN mission witnessed two different types of ultraviolet aurorae simultaneously, the result of solar storms that began on Aug. 27.'},\n", 420 | " {'title': \"NASA Prepares to Say 'Farewell' to InSight Spacecraft\",\n", 421 | " 'preview': 'A closer look at what goes into wrapping up the mission as the spacecraft’s power supply continues to dwindle.'},\n", 422 | " {'title': 'NASA and ESA Agree on Next Steps to Return Mars Samples to Earth',\n", 423 | " 'preview': 'The agency’s Perseverance rover will establish the first sample depot on Mars.'},\n", 424 | " {'title': \"NASA's InSight Lander Detects Stunning Meteoroid Impact on Mars\",\n", 425 | " 'preview': 'The agency’s lander felt the ground shake during the impact while cameras aboard the Mars Reconnaissance Orbiter spotted the yawning new crater from space.'},\n", 426 | " {'title': 'NASA To Host Briefing on InSight, Mars Reconnaissance Orbiter Findings',\n", 427 | " 'preview': 'Scientists from two Mars missions will discuss how they combined images and data for a major finding on the Red Planet.'},\n", 428 | " {'title': 'Why NASA Is Trying To Crash Land on Mars',\n", 429 | " 'preview': 'Like a car’s crumple zone, the experimental SHIELD lander is designed to absorb a hard impact.'},\n", 430 | " {'title': 'Curiosity Mars Rover Reaches Long-Awaited Salty Region',\n", 431 | " 'preview': 'After years of climbing, the Mars rover has arrived at a special region believed to have formed as Mars’ climate was drying.'},\n", 432 | " {'title': 'Mars Mission Shields Up for Tests',\n", 433 | " 'preview': 'Protecting Mars Sample Return spacecraft from micrometeorites requires high-caliber work.'},\n", 434 | " {'title': \"NASA's InSight Waits Out Dust Storm\",\n", 435 | " 'preview': 'InSight’s team is taking steps to help the solar-powered lander continue operating for as long as possible.'},\n", 436 | " {'title': \"NASA's InSight 'Hears' Its First Meteoroid Impacts on Mars\",\n", 437 | " 'preview': 'The Mars lander’s seismometer has picked up vibrations from four separate impacts in the past two years.'},\n", 438 | " {'title': \"NASA's Perseverance Rover Investigates Geologically Rich Mars Terrain\",\n", 439 | " 'preview': 'The latest findings provide greater detail on a region of the Red Planet that has a watery past and is yielding promising samples for the NASA-ESA Mars Sample Return campaign.'},\n", 440 | " {'title': 'NASA to Host Briefing on Perseverance Mars Rover Mission Operations',\n", 441 | " 'preview': 'Members of the mission will discuss the rover’s activities as it gathers samples in an ancient river delta.'},\n", 442 | " {'title': \"NASA's Perseverance Makes New Discoveries in Mars' Jezero Crater\",\n", 443 | " 'preview': 'The rover found that Jezero Crater’s floor is made up of volcanic rocks that have interacted with water.'},\n", 444 | " {'title': \"10 Years Since Landing, NASA's Curiosity Mars Rover Still Has Drive\",\n", 445 | " 'preview': 'Despite signs of wear, the intrepid spacecraft is about to start an exciting new chapter of its mission as it climbs a Martian mountain.'},\n", 446 | " {'title': \"SAM's Top 5 Discoveries Aboard NASA's Curiosity Rover at Mars\",\n", 447 | " 'preview': '“Selfie” of the Curiosity rover with inset showing the SAM instrument prior to installation on the rover.'}]" 448 | ] 449 | }, 450 | "execution_count": 18, 451 | "metadata": {}, 452 | "output_type": "execute_result" 453 | } 454 | ], 455 | "source": [ 456 | "# Print the list to confirm success\n", 457 | "mars_dict\n" 458 | ] 459 | }, 460 | { 461 | "cell_type": "code", 462 | "execution_count": 19, 463 | "metadata": {}, 464 | "outputs": [], 465 | "source": [ 466 | "browser.quit()" 467 | ] 468 | }, 469 | { 470 | "cell_type": "code", 471 | "execution_count": null, 472 | "metadata": {}, 473 | "outputs": [], 474 | "source": [] 475 | } 476 | ], 477 | "metadata": { 478 | "kernelspec": { 479 | "display_name": "Python 3 (ipykernel)", 480 | "language": "python", 481 | "name": "python3" 482 | }, 483 | "language_info": { 484 | "codemirror_mode": { 485 | "name": "ipython", 486 | "version": 3 487 | }, 488 | "file_extension": ".py", 489 | "mimetype": "text/x-python", 490 | "name": "python", 491 | "nbconvert_exporter": "python", 492 | "pygments_lexer": "ipython3", 493 | "version": "3.9.12" 494 | } 495 | }, 496 | "nbformat": 4, 497 | "nbformat_minor": 4 498 | } 499 | -------------------------------------------------------------------------------- /part_2_mars_weather.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "markdown", 5 | "metadata": {}, 6 | "source": [ 7 | "# Module 12 Challenge\n", 8 | "## Deliverable 2: Scrape and Analyze Mars Weather Data" 9 | ] 10 | }, 11 | { 12 | "cell_type": "code", 13 | "execution_count": 1, 14 | "metadata": {}, 15 | "outputs": [], 16 | "source": [ 17 | "# Import relevant libraries\n", 18 | "from splinter import Browser\n", 19 | "from bs4 import BeautifulSoup \n", 20 | "import matplotlib.pyplot as plt\n", 21 | "import pandas as pd" 22 | ] 23 | }, 24 | { 25 | "cell_type": "code", 26 | "execution_count": 2, 27 | "metadata": {}, 28 | "outputs": [], 29 | "source": [ 30 | "browser = Browser('chrome')" 31 | ] 32 | }, 33 | { 34 | "cell_type": "markdown", 35 | "metadata": {}, 36 | "source": [ 37 | "### Step 1: Visit the Website\n", 38 | "\n", 39 | "Use automated browsing to visit the [Mars Temperature Data Site](https://static.bc-edx.com/data/web/mars_facts/temperature.html). Inspect the page to identify which elements to scrape.\n", 40 | "\n", 41 | " > **Hint** To identify which elements to scrape, you might want to inspect the page by using Chrome DevTools to discover whether the table contains usable classes.\n" 42 | ] 43 | }, 44 | { 45 | "cell_type": "code", 46 | "execution_count": 3, 47 | "metadata": {}, 48 | "outputs": [], 49 | "source": [ 50 | "# Visit the website\n", 51 | "url='https://static.bc-edx.com/data/web/mars_facts/temperature.html'\n", 52 | "browser.visit(url)" 53 | ] 54 | }, 55 | { 56 | "cell_type": "markdown", 57 | "metadata": {}, 58 | "source": [ 59 | "### Step 2: Scrape the Table\n", 60 | "\n", 61 | "Create a Beautiful Soup object and use it to scrape the data in the HTML table.\n", 62 | "\n", 63 | "Note that this can also be achieved by using the Pandas `read_html` function. However, use Beautiful Soup here to continue sharpening your web scraping skills." 64 | ] 65 | }, 66 | { 67 | "cell_type": "code", 68 | "execution_count": 4, 69 | "metadata": {}, 70 | "outputs": [], 71 | "source": [ 72 | "# Create a Beautiful Soup Object\n", 73 | "html=browser.html\n", 74 | "soup=BeautifulSoup(html, 'html.parser')" 75 | ] 76 | }, 77 | { 78 | "cell_type": "code", 79 | "execution_count": 5, 80 | "metadata": {}, 81 | "outputs": [], 82 | "source": [ 83 | "# Extract all rows of data\n", 84 | "table=soup.find('table', class_='table')" 85 | ] 86 | }, 87 | { 88 | "cell_type": "markdown", 89 | "metadata": {}, 90 | "source": [ 91 | "### Step 3: Store the Data\n", 92 | "\n", 93 | "Assemble the scraped data into a Pandas DataFrame. The columns should have the same headings as the table on the website. Here’s an explanation of the column headings:\n", 94 | "\n", 95 | "* `id`: the identification number of a single transmission from the Curiosity rover\n", 96 | "* `terrestrial_date`: the date on Earth\n", 97 | "* `sol`: the number of elapsed sols (Martian days) since Curiosity landed on Mars\n", 98 | "* `ls`: the solar longitude\n", 99 | "* `month`: the Martian month\n", 100 | "* `min_temp`: the minimum temperature, in Celsius, of a single Martian day (sol)\n", 101 | "* `pressure`: The atmospheric pressure at Curiosity's location" 102 | ] 103 | }, 104 | { 105 | "cell_type": "code", 106 | "execution_count": 6, 107 | "metadata": {}, 108 | "outputs": [], 109 | "source": [ 110 | "# Create an empty list\n", 111 | "# Loop through the scraped data to create a list of rows\n", 112 | "header = []\n", 113 | "rows = []\n", 114 | "for i, row in enumerate(table.find_all('tr')):\n", 115 | " if i == 0:\n", 116 | " header = [el.text.strip() for el in row.find_all('th')]\n", 117 | " else:\n", 118 | " rows.append([el.text.strip() for el in row.find_all('td')]) " 119 | ] 120 | }, 121 | { 122 | "cell_type": "code", 123 | "execution_count": 7, 124 | "metadata": {}, 125 | "outputs": [], 126 | "source": [ 127 | "# Create a Pandas DataFrame by using the list of rows and a list of the column names\n", 128 | "mars_weather_df = pd.DataFrame(rows, columns=header)" 129 | ] 130 | }, 131 | { 132 | "cell_type": "code", 133 | "execution_count": 8, 134 | "metadata": {}, 135 | "outputs": [ 136 | { 137 | "data": { 138 | "text/html": [ 139 | "
\n", 140 | "\n", 153 | "\n", 154 | " \n", 155 | " \n", 156 | " \n", 157 | " \n", 158 | " \n", 159 | " \n", 160 | " \n", 161 | " \n", 162 | " \n", 163 | " \n", 164 | " \n", 165 | " \n", 166 | " \n", 167 | " \n", 168 | " \n", 169 | " \n", 170 | " \n", 171 | " \n", 172 | " \n", 173 | " \n", 174 | " \n", 175 | " \n", 176 | " \n", 177 | " \n", 178 | " \n", 179 | " \n", 180 | " \n", 181 | " \n", 182 | " \n", 183 | " \n", 184 | " \n", 185 | " \n", 186 | " \n", 187 | " \n", 188 | " \n", 189 | " \n", 190 | " \n", 191 | " \n", 192 | " \n", 193 | " \n", 194 | " \n", 195 | " \n", 196 | " \n", 197 | " \n", 198 | " \n", 199 | " \n", 200 | " \n", 201 | " \n", 202 | " \n", 203 | " \n", 204 | " \n", 205 | " \n", 206 | " \n", 207 | " \n", 208 | " \n", 209 | " \n", 210 | " \n", 211 | " \n", 212 | " \n", 213 | " \n", 214 | " \n", 215 | " \n", 216 | " \n", 217 | " \n", 218 | " \n", 219 | " \n", 220 | " \n", 221 | " \n", 222 | " \n", 223 | " \n", 224 | " \n", 225 | " \n", 226 | " \n", 227 | " \n", 228 | " 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\n", 306 | " \n", 307 | " \n", 308 | " \n", 309 | " \n", 310 | " \n", 311 | " \n", 312 | " \n", 313 | " \n", 314 | " \n", 315 | " \n", 316 | " \n", 317 | " \n", 318 | " \n", 319 | " \n", 320 | " \n", 321 | " \n", 322 | " \n", 323 | " \n", 324 | " \n", 325 | " \n", 326 | " \n", 327 | " \n", 328 | " \n", 329 | " \n", 330 | " \n", 331 | " \n", 332 | " \n", 333 | " \n", 334 | " \n", 335 | " \n", 336 | " \n", 337 | " \n", 338 | " \n", 339 | " \n", 340 | " \n", 341 | " \n", 342 | " \n", 343 | " \n", 344 | " \n", 345 | " \n", 346 | " \n", 347 | " \n", 348 | " \n", 349 | " \n", 350 | " \n", 351 | " \n", 352 | " \n", 353 | " \n", 354 | " \n", 355 | " \n", 356 | " \n", 357 | " \n", 358 | " \n", 359 | " \n", 360 | " \n", 361 | " \n", 362 | " \n", 363 | " \n", 364 | " \n", 365 | " \n", 366 | " \n", 367 | " \n", 368 | " \n", 369 | " \n", 370 | " \n", 371 | " \n", 372 | " \n", 373 | " \n", 374 | " \n", 375 | " \n", 376 | " \n", 377 | " \n", 378 | " \n", 379 | " \n", 380 | " \n", 381 | " \n", 382 | " 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\n", 460 | " \n", 461 | " \n", 462 | " \n", 463 | " \n", 464 | " \n", 465 | " \n", 466 | " \n", 467 | " \n", 468 | " \n", 469 | " \n", 470 | " \n", 471 | " \n", 472 | " \n", 473 | " \n", 474 | " \n", 475 | " \n", 476 | " \n", 477 | " \n", 478 | " \n", 479 | " \n", 480 | " \n", 481 | " \n", 482 | " \n", 483 | " \n", 484 | " \n", 485 | " \n", 486 | " \n", 487 | " \n", 488 | " \n", 489 | " \n", 490 | " \n", 491 | " \n", 492 | " \n", 493 | " \n", 494 | " \n", 495 | " \n", 496 | " \n", 497 | " \n", 498 | " \n", 499 | " \n", 500 | " \n", 501 | " \n", 502 | " \n", 503 | " \n", 504 | " \n", 505 | " \n", 506 | " \n", 507 | " \n", 508 | " \n", 509 | " \n", 510 | " \n", 511 | " \n", 512 | " \n", 513 | " \n", 514 | " \n", 515 | " \n", 516 | " \n", 517 | " \n", 518 | " \n", 519 | " \n", 520 | " \n", 521 | " \n", 522 | " \n", 523 | " \n", 524 | " \n", 525 | " \n", 526 | " \n", 527 | " \n", 528 | " \n", 529 | " \n", 530 | " \n", 531 | " \n", 532 | " \n", 533 | " \n", 534 | " \n", 535 | " \n", 536 | " \n", 537 | " \n", 538 | " \n", 539 | " \n", 540 | " \n", 541 | " \n", 542 | " \n", 543 | " \n", 544 | " \n", 545 | " \n", 546 | " \n", 547 | " \n", 548 | " \n", 549 | " \n", 550 | " \n", 551 | " \n", 552 | " \n", 553 | " \n", 554 | " \n", 555 | " \n", 556 | " \n", 557 | " \n", 558 | " \n", 559 | " \n", 560 | " \n", 561 | " \n", 562 | " \n", 563 | " \n", 564 | " \n", 565 | " \n", 566 | " \n", 567 | " \n", 568 | " \n", 569 | " \n", 570 | " \n", 571 | " \n", 572 | " \n", 573 | " \n", 574 | " \n", 575 | " \n", 576 | " \n", 577 | " \n", 578 | " \n", 579 | " \n", 580 | " \n", 581 | " \n", 582 | " \n", 583 | " \n", 584 | " \n", 585 | " \n", 586 | " \n", 587 | " \n", 588 | " \n", 589 | " \n", 590 | " \n", 591 | " \n", 592 | " \n", 593 | " \n", 594 | " \n", 595 | " \n", 596 | " \n", 597 | " \n", 598 | " \n", 599 | " \n", 600 | " \n", 601 | " \n", 602 | " \n", 603 | " \n", 604 | " \n", 605 | " \n", 606 | " \n", 607 | " \n", 608 | " \n", 609 | " \n", 610 | " \n", 611 | " \n", 612 | " \n", 613 | " \n", 614 | " \n", 615 | " \n", 616 | " \n", 617 | " \n", 618 | " \n", 619 | " \n", 620 | " \n", 621 | " \n", 622 | " \n", 623 | " \n", 624 | " \n", 625 | " \n", 626 | " \n", 627 | " \n", 628 | " \n", 629 | " \n", 630 | " \n", 631 | " \n", 632 | " \n", 633 | " \n", 634 | " \n", 635 | " \n", 636 | " \n", 637 | " \n", 638 | " \n", 639 | " \n", 640 | " \n", 641 | " \n", 642 | " \n", 643 | " \n", 644 | " \n", 645 | " \n", 646 | " \n", 647 | " \n", 648 | " \n", 649 | " \n", 650 | " \n", 651 | " \n", 652 | " \n", 653 | " \n", 654 | " \n", 655 | " \n", 656 | " \n", 657 | " \n", 658 | " \n", 659 | " \n", 660 | " \n", 661 | " \n", 662 | " \n", 663 | " \n", 664 | " \n", 665 | " \n", 666 | " \n", 667 | " \n", 668 | "
idterrestrial_datesollsmonthmin_temppressure
022012-08-16101556-75.0739.0
1132012-08-17111566-76.0740.0
2242012-08-18121566-76.0741.0
3352012-08-19131576-74.0732.0
4462012-08-20141576-74.0740.0
5572012-08-21151586-78.0740.0
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91142012-08-28221626-74.0742.0
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221782012-09-12361696-73.0750.0
231792012-09-13371706-73.0750.0
241802012-09-14381716-73.0750.0
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291852012-09-19431736-74.0756.0
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331892012-09-23471766-75.0758.0
341902012-09-24481766-75.0759.0
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361922012-09-26501776-72.0761.0
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411972012-10-01551807-74.0766.0
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442002012-10-04581827-74.0769.0
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462022012-10-06601837-75.0772.0
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482042012-10-08621847-72.0774.0
492052012-10-09631857-73.0775.0
\n", 669 | "
" 670 | ], 671 | "text/plain": [ 672 | " id terrestrial_date sol ls month min_temp pressure\n", 673 | "0 2 2012-08-16 10 155 6 -75.0 739.0\n", 674 | "1 13 2012-08-17 11 156 6 -76.0 740.0\n", 675 | "2 24 2012-08-18 12 156 6 -76.0 741.0\n", 676 | "3 35 2012-08-19 13 157 6 -74.0 732.0\n", 677 | "4 46 2012-08-20 14 157 6 -74.0 740.0\n", 678 | "5 57 2012-08-21 15 158 6 -78.0 740.0\n", 679 | "6 68 2012-08-22 16 158 6 -77.0 740.0\n", 680 | "7 79 2012-08-23 17 159 6 -76.0 742.0\n", 681 | "8 112 2012-08-27 21 161 6 -74.0 741.0\n", 682 | "9 114 2012-08-28 22 162 6 -74.0 742.0\n", 683 | "10 123 2012-08-29 23 162 6 -75.0 741.0\n", 684 | "11 134 2012-08-30 24 163 6 -75.0 742.0\n", 685 | "12 145 2012-08-31 25 163 6 -75.0 743.0\n", 686 | "13 156 2012-09-01 26 164 6 -76.0 745.0\n", 687 | "14 163 2012-09-02 27 164 6 -75.0 743.0\n", 688 | "15 170 2012-09-03 28 165 6 -75.0 745.0\n", 689 | "16 171 2012-09-04 29 166 6 -75.0 747.0\n", 690 | "17 172 2012-09-05 30 166 6 -74.0 747.0\n", 691 | "18 173 2012-09-06 31 167 6 -74.0 745.0\n", 692 | "19 175 2012-09-08 33 168 6 -73.0 748.0\n", 693 | "20 176 2012-09-10 34 168 6 -73.0 748.0\n", 694 | "21 177 2012-09-11 35 169 6 -73.0 749.0\n", 695 | "22 178 2012-09-12 36 169 6 -73.0 750.0\n", 696 | "23 179 2012-09-13 37 170 6 -73.0 750.0\n", 697 | "24 180 2012-09-14 38 171 6 -73.0 750.0\n", 698 | "25 181 2012-09-15 39 171 6 -75.0 751.0\n", 699 | "26 182 2012-09-16 40 172 6 -75.0 753.0\n", 700 | "27 183 2012-09-17 41 172 6 -75.0 753.0\n", 701 | "28 184 2012-09-18 42 173 6 -75.0 754.0\n", 702 | "29 185 2012-09-19 43 173 6 -74.0 756.0\n", 703 | "30 186 2012-09-20 44 174 6 -75.0 757.0\n", 704 | "31 187 2012-09-21 45 175 6 -74.0 758.0\n", 705 | "32 188 2012-09-22 46 175 6 -74.0 758.0\n", 706 | "33 189 2012-09-23 47 176 6 -75.0 758.0\n", 707 | "34 190 2012-09-24 48 176 6 -75.0 759.0\n", 708 | "35 191 2012-09-25 49 177 6 -74.0 761.0\n", 709 | "36 192 2012-09-26 50 177 6 -72.0 761.0\n", 710 | "37 193 2012-09-27 51 178 6 -76.0 762.0\n", 711 | "38 194 2012-09-28 52 179 6 -74.0 762.0\n", 712 | "39 195 2012-09-29 53 179 6 -71.0 764.0\n", 713 | "40 196 2012-09-30 54 180 7 -72.0 766.0\n", 714 | "41 197 2012-10-01 55 180 7 -74.0 766.0\n", 715 | "42 198 2012-10-02 56 181 7 -73.0 768.0\n", 716 | "43 199 2012-10-03 57 181 7 -73.0 769.0\n", 717 | "44 200 2012-10-04 58 182 7 -74.0 769.0\n", 718 | "45 201 2012-10-05 59 183 7 -76.0 771.0\n", 719 | "46 202 2012-10-06 60 183 7 -75.0 772.0\n", 720 | "47 203 2012-10-07 61 184 7 -72.0 772.0\n", 721 | "48 204 2012-10-08 62 184 7 -72.0 774.0\n", 722 | "49 205 2012-10-09 63 185 7 -73.0 775.0" 723 | ] 724 | }, 725 | "execution_count": 8, 726 | "metadata": {}, 727 | "output_type": "execute_result" 728 | } 729 | ], 730 | "source": [ 731 | "# Confirm DataFrame was created successfully\n", 732 | "mars_weather_df.head(50)\n" 733 | ] 734 | }, 735 | { 736 | "cell_type": "markdown", 737 | "metadata": {}, 738 | "source": [ 739 | "### Step 4: Prepare Data for Analysis\n", 740 | "\n", 741 | "Examine the data types that are currently associated with each column. If necessary, cast (or convert) the data to the appropriate `datetime`, `int`, or `float` data types.\n", 742 | "\n", 743 | " > **Hint** You can use the Pandas `astype` and `to_datetime` methods to accomplish this task.\n" 744 | ] 745 | }, 746 | { 747 | "cell_type": "code", 748 | "execution_count": 9, 749 | "metadata": {}, 750 | "outputs": [ 751 | { 752 | "data": { 753 | "text/plain": [ 754 | "id object\n", 755 | "terrestrial_date object\n", 756 | "sol object\n", 757 | "ls object\n", 758 | "month object\n", 759 | "min_temp object\n", 760 | "pressure object\n", 761 | "dtype: object" 762 | ] 763 | }, 764 | "execution_count": 9, 765 | "metadata": {}, 766 | "output_type": "execute_result" 767 | } 768 | ], 769 | "source": [ 770 | "# Examine data type of each column\n", 771 | "mars_weather_df.dtypes" 772 | ] 773 | }, 774 | { 775 | "cell_type": "code", 776 | "execution_count": 10, 777 | "metadata": {}, 778 | "outputs": [], 779 | "source": [ 780 | "# Change data types for data analysis\n", 781 | "mars_weather_df['id']=mars_weather_df['id'].astype(int)\n", 782 | "mars_weather_df['terrestrial_date']=mars_weather_df['terrestrial_date'].astype('datetime64')\n", 783 | "mars_weather_df['sol']=mars_weather_df['sol'].astype(float)\n", 784 | "mars_weather_df['ls']=mars_weather_df['ls'].astype(float)\n", 785 | "mars_weather_df['month']=mars_weather_df['month'].astype(int)\n", 786 | "mars_weather_df['min_temp']=mars_weather_df['min_temp'].astype(float)\n", 787 | "mars_weather_df['pressure']=mars_weather_df['pressure'].astype(float)" 788 | ] 789 | }, 790 | { 791 | "cell_type": "code", 792 | "execution_count": 11, 793 | "metadata": {}, 794 | "outputs": [ 795 | { 796 | "data": { 797 | "text/plain": [ 798 | "id int32\n", 799 | "terrestrial_date datetime64[ns]\n", 800 | "sol float64\n", 801 | "ls float64\n", 802 | "month int32\n", 803 | "min_temp float64\n", 804 | "pressure float64\n", 805 | "dtype: object" 806 | ] 807 | }, 808 | "execution_count": 11, 809 | "metadata": {}, 810 | "output_type": "execute_result" 811 | } 812 | ], 813 | "source": [ 814 | "# Confirm type changes were successful by examining data types again\n", 815 | "mars_weather_df.dtypes" 816 | ] 817 | }, 818 | { 819 | "cell_type": "markdown", 820 | "metadata": {}, 821 | "source": [ 822 | "### Step 5: Analyze the Data\n", 823 | "\n", 824 | "Analyze your dataset by using Pandas functions to answer the following questions:\n", 825 | "\n", 826 | "1. How many months exist on Mars?\n", 827 | "2. How many Martian (and not Earth) days worth of data exist in the scraped dataset?\n", 828 | "3. What are the coldest and the warmest months on Mars (at the location of Curiosity)? To answer this question:\n", 829 | " * Find the average the minimum daily temperature for all of the months.\n", 830 | " * Plot the results as a bar chart.\n", 831 | "4. Which months have the lowest and the highest atmospheric pressure on Mars? To answer this question:\n", 832 | " * Find the average the daily atmospheric pressure of all the months.\n", 833 | " * Plot the results as a bar chart.\n", 834 | "5. About how many terrestrial (Earth) days exist in a Martian year? To answer this question:\n", 835 | " * Consider how many days elapse on Earth in the time that Mars circles the Sun once.\n", 836 | " * Visually estimate the result by plotting the daily minimum temperature.\n" 837 | ] 838 | }, 839 | { 840 | "cell_type": "code", 841 | "execution_count": 12, 842 | "metadata": {}, 843 | "outputs": [ 844 | { 845 | "data": { 846 | "text/plain": [ 847 | "12" 848 | ] 849 | }, 850 | "execution_count": 12, 851 | "metadata": {}, 852 | "output_type": "execute_result" 853 | } 854 | ], 855 | "source": [ 856 | "# 1. How many months are there on Mars?\n", 857 | "len(mars_weather_df['month'].unique())\n" 858 | ] 859 | }, 860 | { 861 | "cell_type": "code", 862 | "execution_count": 13, 863 | "metadata": {}, 864 | "outputs": [ 865 | { 866 | "data": { 867 | "text/plain": [ 868 | "1867" 869 | ] 870 | }, 871 | "execution_count": 13, 872 | "metadata": {}, 873 | "output_type": "execute_result" 874 | } 875 | ], 876 | "source": [ 877 | "# 2. How many Martian days' worth of data are there?\n", 878 | "mars_weather_df['sol'].count()\n" 879 | ] 880 | }, 881 | { 882 | "cell_type": "code", 883 | "execution_count": 14, 884 | "metadata": {}, 885 | "outputs": [], 886 | "source": [ 887 | "# 3. What is the average low temperature by month?\n", 888 | "temp_by_month=mars_weather_df.groupby('month')['min_temp'].mean()\n" 889 | ] 890 | }, 891 | { 892 | "cell_type": "code", 893 | "execution_count": 15, 894 | "metadata": {}, 895 | "outputs": [ 896 | { 897 | "data": { 898 | "image/png": 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\n", 899 | "text/plain": [ 900 | "
" 901 | ] 902 | }, 903 | "metadata": { 904 | "needs_background": "light" 905 | }, 906 | "output_type": "display_data" 907 | } 908 | ], 909 | "source": [ 910 | "# Plot the average temperature by month\n", 911 | "temp_by_month.plot(label=\"Average Low Temperature\")\n", 912 | "plt.xlim(0,12)\n", 913 | "plt.title('Temperature by month')\n", 914 | "plt.ylabel('Mininium Temperature in Celsius')\n", 915 | "plt.legend()\n", 916 | "plt.show()" 917 | ] 918 | }, 919 | { 920 | "cell_type": "code", 921 | "execution_count": 16, 922 | "metadata": {}, 923 | "outputs": [ 924 | { 925 | "data": { 926 | "text/html": [ 927 | "
\n", 928 | "\n", 941 | "\n", 942 | " \n", 943 | " \n", 944 | " \n", 945 | " \n", 946 | " \n", 947 | " \n", 948 | " \n", 949 | " \n", 950 | " \n", 951 | " \n", 952 | " \n", 953 | " \n", 954 | " \n", 955 | " \n", 956 | " \n", 957 | " \n", 958 | " \n", 959 | " \n", 960 | " \n", 961 | " \n", 962 | " \n", 963 | " \n", 964 | " \n", 965 | " \n", 966 | " \n", 967 | " \n", 968 | " \n", 969 | " \n", 970 | " \n", 971 | " \n", 972 | " \n", 973 | " \n", 974 | " \n", 975 | " \n", 976 | " \n", 977 | " \n", 978 | " \n", 979 | " \n", 980 | " \n", 981 | " \n", 982 | " \n", 983 | " \n", 984 | " \n", 985 | " \n", 986 | " \n", 987 | " \n", 988 | " \n", 989 | " \n", 990 | " \n", 991 | " \n", 992 | " \n", 993 | " \n", 994 | " \n", 995 | " \n", 996 | " \n", 997 | " \n", 998 | " \n", 999 | " \n", 1000 | " \n", 1001 | " \n", 1002 | " \n", 1003 | " \n", 1004 | " \n", 1005 | " \n", 1006 | " \n", 1007 | " \n", 1008 | " \n", 1009 | " \n", 1010 | " \n", 1011 | "
monthmin_temp
01-77.160920
12-79.932584
23-83.307292
34-82.747423
45-79.308725
56-75.299320
67-72.281690
78-68.382979
89-69.171642
910-71.982143
1011-71.985507
1112-74.451807
\n", 1012 | "
" 1013 | ], 1014 | "text/plain": [ 1015 | " month min_temp\n", 1016 | "0 1 -77.160920\n", 1017 | "1 2 -79.932584\n", 1018 | "2 3 -83.307292\n", 1019 | "3 4 -82.747423\n", 1020 | "4 5 -79.308725\n", 1021 | "5 6 -75.299320\n", 1022 | "6 7 -72.281690\n", 1023 | "7 8 -68.382979\n", 1024 | "8 9 -69.171642\n", 1025 | "9 10 -71.982143\n", 1026 | "10 11 -71.985507\n", 1027 | "11 12 -74.451807" 1028 | ] 1029 | }, 1030 | "execution_count": 16, 1031 | "metadata": {}, 1032 | "output_type": "execute_result" 1033 | } 1034 | ], 1035 | "source": [ 1036 | "temp_by_month = pd.DataFrame(temp_by_month).reset_index()\n", 1037 | "temp_by_month" 1038 | ] 1039 | }, 1040 | { 1041 | "cell_type": "code", 1042 | "execution_count": 17, 1043 | "metadata": {}, 1044 | "outputs": [ 1045 | { 1046 | "data": { 1047 | "text/plain": [ 1048 | "3" 1049 | ] 1050 | }, 1051 | "execution_count": 17, 1052 | "metadata": {}, 1053 | "output_type": "execute_result" 1054 | } 1055 | ], 1056 | "source": [ 1057 | "# Identify the coldest and hottest months in Curiosity's location\n", 1058 | "cldest_month=temp_by_month.loc[ temp_by_month['min_temp'] == temp_by_month['min_temp'].min(), 'month' ].values[0]\n", 1059 | "hottest_month=temp_by_month.loc[ temp_by_month['min_temp'] == temp_by_month['min_temp'].max(), 'month' ].values[0]\n", 1060 | "\n", 1061 | "cldest_month\n" 1062 | ] 1063 | }, 1064 | { 1065 | "cell_type": "code", 1066 | "execution_count": 18, 1067 | "metadata": {}, 1068 | "outputs": [ 1069 | { 1070 | "data": { 1071 | "text/plain": [ 1072 | "8" 1073 | ] 1074 | }, 1075 | "execution_count": 18, 1076 | "metadata": {}, 1077 | "output_type": "execute_result" 1078 | } 1079 | ], 1080 | "source": [ 1081 | "hottest_month" 1082 | ] 1083 | }, 1084 | { 1085 | "cell_type": "code", 1086 | "execution_count": 19, 1087 | "metadata": {}, 1088 | "outputs": [ 1089 | { 1090 | "data": { 1091 | "text/plain": [ 1092 | "month\n", 1093 | "1 862.488506\n", 1094 | "2 889.455056\n", 1095 | "3 877.322917\n", 1096 | "4 806.329897\n", 1097 | "5 748.557047\n", 1098 | "Name: pressure, dtype: float64" 1099 | ] 1100 | }, 1101 | "execution_count": 19, 1102 | "metadata": {}, 1103 | "output_type": "execute_result" 1104 | } 1105 | ], 1106 | "source": [ 1107 | "# 4. Average pressure by Martian month\n", 1108 | "average_pressure=mars_weather_df.groupby(\"month\")['pressure'].mean()\n", 1109 | "average_pressure.head()" 1110 | ] 1111 | }, 1112 | { 1113 | "cell_type": "code", 1114 | "execution_count": 20, 1115 | "metadata": {}, 1116 | "outputs": [ 1117 | { 1118 | "data": { 1119 | "image/png": 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\n", 1120 | "text/plain": [ 1121 | "
" 1122 | ] 1123 | }, 1124 | "metadata": { 1125 | "needs_background": "light" 1126 | }, 1127 | "output_type": "display_data" 1128 | } 1129 | ], 1130 | "source": [ 1131 | "# Plot the average pressure by month\n", 1132 | "pressure_by_month=mars_weather_df.groupby('month')['pressure'].mean()\n", 1133 | "pressure_by_month.plot(label=\"Average Pressure\")\n", 1134 | "plt.xlim(0,12)\n", 1135 | "plt.title('Pressure by month')\n", 1136 | "plt.ylabel('The atmospheric pressure')\n", 1137 | "plt.legend()\n", 1138 | "plt.show()" 1139 | ] 1140 | }, 1141 | { 1142 | "cell_type": "code", 1143 | "execution_count": 21, 1144 | "metadata": { 1145 | "scrolled": true 1146 | }, 1147 | "outputs": [ 1148 | { 1149 | "data": { 1150 | "text/html": [ 1151 | "
\n", 1152 | "\n", 1165 | "\n", 1166 | " \n", 1167 | " \n", 1168 | " \n", 1169 | " \n", 1170 | " \n", 1171 | " \n", 1172 | " \n", 1173 | " \n", 1174 | " \n", 1175 | " \n", 1176 | " \n", 1177 | " \n", 1178 | " \n", 1179 | " \n", 1180 | " \n", 1181 | " \n", 1182 | " \n", 1183 | " \n", 1184 | " \n", 1185 | " \n", 1186 | " \n", 1187 | " \n", 1188 | " \n", 1189 | " \n", 1190 | " \n", 1191 | " \n", 1192 | " \n", 1193 | " \n", 1194 | " \n", 1195 | " \n", 1196 | " \n", 1197 | " \n", 1198 | " \n", 1199 | " \n", 1200 | " \n", 1201 | " \n", 1202 | " \n", 1203 | " \n", 1204 | " \n", 1205 | " \n", 1206 | " \n", 1207 | " \n", 1208 | " \n", 1209 | " \n", 1210 | " \n", 1211 | " \n", 1212 | " \n", 1213 | " \n", 1214 | " \n", 1215 | " \n", 1216 | " \n", 1217 | " \n", 1218 | " \n", 1219 | " \n", 1220 | " \n", 1221 | " \n", 1222 | " \n", 1223 | " \n", 1224 | " \n", 1225 | " \n", 1226 | " \n", 1227 | " \n", 1228 | " \n", 1229 | " \n", 1230 | " \n", 1231 | " \n", 1232 | " \n", 1233 | " \n", 1234 | " \n", 1235 | "
monthpressure
01862.488506
12889.455056
23877.322917
34806.329897
45748.557047
56745.054422
67795.105634
78873.829787
89913.305970
910887.312500
1011857.014493
1112842.156627
\n", 1236 | "
" 1237 | ], 1238 | "text/plain": [ 1239 | " month pressure\n", 1240 | "0 1 862.488506\n", 1241 | "1 2 889.455056\n", 1242 | "2 3 877.322917\n", 1243 | "3 4 806.329897\n", 1244 | "4 5 748.557047\n", 1245 | "5 6 745.054422\n", 1246 | "6 7 795.105634\n", 1247 | "7 8 873.829787\n", 1248 | "8 9 913.305970\n", 1249 | "9 10 887.312500\n", 1250 | "10 11 857.014493\n", 1251 | "11 12 842.156627" 1252 | ] 1253 | }, 1254 | "execution_count": 21, 1255 | "metadata": {}, 1256 | "output_type": "execute_result" 1257 | } 1258 | ], 1259 | "source": [ 1260 | "pressure_by_month = pd.DataFrame(pressure_by_month).reset_index()\n", 1261 | "pressure_by_month" 1262 | ] 1263 | }, 1264 | { 1265 | "cell_type": "code", 1266 | "execution_count": 22, 1267 | "metadata": {}, 1268 | "outputs": [ 1269 | { 1270 | "data": { 1271 | "text/plain": [ 1272 | "6" 1273 | ] 1274 | }, 1275 | "execution_count": 22, 1276 | "metadata": {}, 1277 | "output_type": "execute_result" 1278 | } 1279 | ], 1280 | "source": [ 1281 | "lowest_month=pressure_by_month.loc[ pressure_by_month['pressure'] == pressure_by_month['pressure'].min(), 'month' ].values[0]\n", 1282 | "lowest_month" 1283 | ] 1284 | }, 1285 | { 1286 | "cell_type": "code", 1287 | "execution_count": 23, 1288 | "metadata": {}, 1289 | "outputs": [ 1290 | { 1291 | "data": { 1292 | "text/plain": [ 1293 | "9" 1294 | ] 1295 | }, 1296 | "execution_count": 23, 1297 | "metadata": {}, 1298 | "output_type": "execute_result" 1299 | } 1300 | ], 1301 | "source": [ 1302 | "highest_month=pressure_by_month.loc[ pressure_by_month['pressure'] == pressure_by_month['pressure'].max(), 'month' ].values[0]\n", 1303 | "highest_month" 1304 | ] 1305 | }, 1306 | { 1307 | "cell_type": "code", 1308 | "execution_count": 24, 1309 | "metadata": { 1310 | "scrolled": true 1311 | }, 1312 | "outputs": [ 1313 | { 1314 | "data": { 1315 | "text/plain": [ 1316 | "[]" 1317 | ] 1318 | }, 1319 | "execution_count": 24, 1320 | "metadata": {}, 1321 | "output_type": "execute_result" 1322 | }, 1323 | { 1324 | "data": { 1325 | "image/png": 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\n", 1326 | "text/plain": [ 1327 | "
" 1328 | ] 1329 | }, 1330 | "metadata": { 1331 | "needs_background": "light" 1332 | }, 1333 | "output_type": "display_data" 1334 | } 1335 | ], 1336 | "source": [ 1337 | "# 5. How many terrestrial (earth) days are there in a Martian year?\n", 1338 | "plt.plot(mars_weather_df['min_temp'])\n" 1339 | ] 1340 | }, 1341 | { 1342 | "cell_type": "code", 1343 | "execution_count": 25, 1344 | "metadata": {}, 1345 | "outputs": [ 1346 | { 1347 | "data": { 1348 | "text/html": [ 1349 | "
\n", 1350 | "\n", 1363 | "\n", 1364 | " \n", 1365 | " \n", 1366 | " \n", 1367 | " \n", 1368 | " \n", 1369 | " \n", 1370 | " \n", 1371 | " \n", 1372 | " \n", 1373 | " \n", 1374 | " \n", 1375 | " \n", 1376 | " \n", 1377 | " \n", 1378 | " \n", 1379 | " \n", 1380 | " \n", 1381 | " \n", 1382 | " \n", 1383 | " \n", 1384 | " \n", 1385 | " \n", 1386 | " \n", 1387 | " \n", 1388 | " \n", 1389 | " \n", 1390 | " \n", 1391 | " \n", 1392 | " \n", 1393 | " \n", 1394 | " \n", 1395 | " \n", 1396 | " \n", 1397 | " \n", 1398 | " \n", 1399 | " \n", 1400 | " \n", 1401 | " \n", 1402 | " \n", 1403 | " \n", 1404 | " \n", 1405 | " \n", 1406 | " \n", 1407 | " \n", 1408 | " \n", 1409 | " \n", 1410 | " \n", 1411 | " \n", 1412 | " \n", 1413 | " \n", 1414 | " \n", 1415 | " \n", 1416 | " \n", 1417 | " \n", 1418 | " \n", 1419 | " \n", 1420 | " \n", 1421 | " \n", 1422 | " \n", 1423 | " \n", 1424 | " \n", 1425 | " \n", 1426 | " \n", 1427 | " \n", 1428 | " \n", 1429 | " \n", 1430 | " \n", 1431 | " \n", 1432 | " \n", 1433 | " \n", 1434 | " \n", 1435 | " \n", 1436 | " \n", 1437 | " \n", 1438 | " \n", 1439 | " \n", 1440 | " \n", 1441 | " \n", 1442 | " \n", 1443 | " \n", 1444 | " \n", 1445 | " \n", 1446 | " \n", 1447 | " \n", 1448 | " \n", 1449 | " \n", 1450 | " \n", 1451 | " \n", 1452 | " \n", 1453 | " \n", 1454 | " \n", 1455 | " \n", 1456 | " \n", 1457 | " \n", 1458 | " \n", 1459 | " \n", 1460 | " \n", 1461 | " \n", 1462 | " \n", 1463 | " \n", 1464 | " \n", 1465 | " \n", 1466 | " \n", 1467 | " \n", 1468 | " \n", 1469 | " \n", 1470 | " \n", 1471 | " \n", 1472 | " \n", 1473 | " \n", 1474 | " \n", 1475 | " \n", 1476 | " \n", 1477 | " \n", 1478 | " \n", 1479 | " \n", 1480 | " \n", 1481 | " \n", 1482 | " \n", 1483 | " \n", 1484 | " \n", 1485 | " \n", 1486 | " \n", 1487 | " \n", 1488 | "
idterrestrial_datesollsmonthmin_temppressure
5285512014-04-22608.0119.04-85.0777.0
5305542014-04-24610.0120.05-85.0776.0
5075302014-04-01587.0109.04-85.0801.0
5095312014-04-03589.0110.04-85.0798.0
5325532014-04-26612.0121.05-85.0774.0
........................
7737962014-12-30853.0262.09-67.0913.0
7447682014-11-30824.0243.09-67.0914.0
7747982014-12-31854.0262.09-66.0910.0
7167372014-11-01796.0225.08-65.0877.0
7177402014-11-03797.0225.08-65.0879.0
\n", 1489 | "

300 rows × 7 columns

\n", 1490 | "
" 1491 | ], 1492 | "text/plain": [ 1493 | " id terrestrial_date sol ls month min_temp pressure\n", 1494 | "528 551 2014-04-22 608.0 119.0 4 -85.0 777.0\n", 1495 | "530 554 2014-04-24 610.0 120.0 5 -85.0 776.0\n", 1496 | "507 530 2014-04-01 587.0 109.0 4 -85.0 801.0\n", 1497 | "509 531 2014-04-03 589.0 110.0 4 -85.0 798.0\n", 1498 | "532 553 2014-04-26 612.0 121.0 5 -85.0 774.0\n", 1499 | ".. ... ... ... ... ... ... ...\n", 1500 | "773 796 2014-12-30 853.0 262.0 9 -67.0 913.0\n", 1501 | "744 768 2014-11-30 824.0 243.0 9 -67.0 914.0\n", 1502 | "774 798 2014-12-31 854.0 262.0 9 -66.0 910.0\n", 1503 | "716 737 2014-11-01 796.0 225.0 8 -65.0 877.0\n", 1504 | "717 740 2014-11-03 797.0 225.0 8 -65.0 879.0\n", 1505 | "\n", 1506 | "[300 rows x 7 columns]" 1507 | ] 1508 | }, 1509 | "execution_count": 25, 1510 | "metadata": {}, 1511 | "output_type": "execute_result" 1512 | } 1513 | ], 1514 | "source": [ 1515 | "mars_weather_df.iloc[500:800, :].sort_values(['min_temp'], ascending=True)\n" 1516 | ] 1517 | }, 1518 | { 1519 | "cell_type": "markdown", 1520 | "metadata": {}, 1521 | "source": [ 1522 | "On average, the third month has the coldest minimum temperature on Mars, and the eighth month is the warmest. But it is always very cold there in human terms!\n", 1523 | "\n" 1524 | ] 1525 | }, 1526 | { 1527 | "cell_type": "markdown", 1528 | "metadata": {}, 1529 | "source": [ 1530 | "Atmospheric pressure is, on average, lowest in the sixth month and highest in the ninth." 1531 | ] 1532 | }, 1533 | { 1534 | "cell_type": "markdown", 1535 | "metadata": {}, 1536 | "source": [ 1537 | "The distance from peak to peak is roughly 1425-750, or 675 days. A year on Mars appears to be about 675 days from the plot. Internet search confirms that a Mars year is equivalent to 687 earth days." 1538 | ] 1539 | }, 1540 | { 1541 | "cell_type": "markdown", 1542 | "metadata": {}, 1543 | "source": [ 1544 | "### Step 6: Save the Data\n", 1545 | "\n", 1546 | "Export the DataFrame to a CSV file." 1547 | ] 1548 | }, 1549 | { 1550 | "cell_type": "code", 1551 | "execution_count": 26, 1552 | "metadata": {}, 1553 | "outputs": [], 1554 | "source": [ 1555 | "# Write the data to a CSV\n", 1556 | "mars_weather_df.to_csv('mars_weather.csv')\n" 1557 | ] 1558 | }, 1559 | { 1560 | "cell_type": "code", 1561 | "execution_count": 27, 1562 | "metadata": {}, 1563 | "outputs": [], 1564 | "source": [ 1565 | "browser.quit()" 1566 | ] 1567 | }, 1568 | { 1569 | "cell_type": "code", 1570 | "execution_count": null, 1571 | "metadata": {}, 1572 | "outputs": [], 1573 | "source": [] 1574 | } 1575 | ], 1576 | "metadata": { 1577 | "kernelspec": { 1578 | "display_name": "Python 3 (ipykernel)", 1579 | "language": "python", 1580 | "name": "python3" 1581 | }, 1582 | "language_info": { 1583 | "codemirror_mode": { 1584 | "name": "ipython", 1585 | "version": 3 1586 | }, 1587 | "file_extension": ".py", 1588 | "mimetype": "text/x-python", 1589 | "name": "python", 1590 | "nbconvert_exporter": "python", 1591 | "pygments_lexer": "ipython3", 1592 | "version": "3.9.12" 1593 | }, 1594 | "vscode": { 1595 | "interpreter": { 1596 | "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6" 1597 | } 1598 | } 1599 | }, 1600 | "nbformat": 4, 1601 | "nbformat_minor": 4 1602 | } 1603 | --------------------------------------------------------------------------------