"athlete","time","lap_nr","ind" "df_time_campenaerts",24.525,1,1 "df_time_campenaerts",16.718,2,2 "df_time_campenaerts",16.067999999999998,3,3 "df_time_campenaerts",16.013,4,4 "df_time_campenaerts",16.224999999999998,5,5 "df_time_campenaerts",16.319000000000003,6,6 "df_time_campenaerts",16.324,7,7 "df_time_campenaerts",16.343,8,8 "df_time_campenaerts",16.294999999999998,9,9 "df_time_campenaerts",16.273,10,10 "df_time_campenaerts",16.261,11,11 "df_time_campenaerts",16.259,12,12 "df_time_campenaerts",16.244999999999997,13,13 "df_time_campenaerts",16.254,14,14 "df_time_campenaerts",16.23,15,15 "df_time_campenaerts",16.226,16,16 "df_time_campenaerts",16.243,17,17 "df_time_campenaerts",16.165,18,18 "df_time_campenaerts",16.14,19,19 "df_time_campenaerts",16.264999999999997,20,20 "df_time_campenaerts",16.237000000000002,21,21 "df_time_campenaerts",16.232,22,22 "df_time_campenaerts",16.266,23,23 "df_time_campenaerts",16.238,24,24 "df_time_campenaerts",16.264999999999997,25,25 "df_time_campenaerts",16.261,26,26 "df_time_campenaerts",16.138,27,27 "df_time_campenaerts",16.124000000000002,28,28 "df_time_campenaerts",16.207,29,29 "df_time_campenaerts",16.255,30,30 "df_time_campenaerts",16.252,31,31 "df_time_campenaerts",16.203,32,32 "df_time_campenaerts",16.171000000000003,33,33 "df_time_campenaerts",16.21,34,34 "df_time_campenaerts",16.208,35,35 "df_time_campenaerts",16.07,36,36 "df_time_campenaerts",16.165,37,37 "df_time_campenaerts",16.128,38,38 "df_time_campenaerts",16.201,39,39 "df_time_campenaerts",16.216,40,40 "df_time_campenaerts",16.144000000000002,41,41 "df_time_campenaerts",16.115000000000002,42,42 "df_time_campenaerts",16.193,43,43 "df_time_campenaerts",16.183,44,44 "df_time_campenaerts",16.163,45,45 "df_time_campenaerts",16.241,46,46 "df_time_campenaerts",16.261,47,47 "df_time_campenaerts",16.174000000000003,48,48 "df_time_campenaerts",16.186,49,49 "df_time_campenaerts",16.212,50,50 "df_time_campenaerts",16.204,51,51 "df_time_campenaerts",16.216,52,52 "df_time_campenaerts",16.25,53,53 "df_time_campenaerts",16.246,54,54 "df_time_campenaerts",16.186,55,55 "df_time_campenaerts",16.287999999999997,56,56 "df_time_campenaerts",16.211000000000002,57,57 "df_time_campenaerts",16.287999999999997,58,58 "df_time_campenaerts",16.376,59,59 "df_time_campenaerts",16.339000000000002,60,60 "df_time_campenaerts",16.246,61,61 "df_time_campenaerts",16.241999999999997,62,62 "df_time_campenaerts",16.243,63,63 "df_time_campenaerts",16.21,64,64 "df_time_campenaerts",16.253,65,65 "df_time_campenaerts",16.258,66,66 "df_time_campenaerts",16.279,67,67 "df_time_campenaerts",16.329,68,68 "df_time_campenaerts",16.308,69,69 "df_time_campenaerts",16.311000000000003,70,70 "df_time_campenaerts",16.310000000000002,71,71 "df_time_campenaerts",16.328,72,72 "df_time_campenaerts",16.294,73,73 "df_time_campenaerts",16.416,74,74 "df_time_campenaerts",16.367,75,75 "df_time_campenaerts",16.341,76,76 "df_time_campenaerts",16.311000000000003,77,77 "df_time_campenaerts",16.310000000000002,78,78 "df_time_campenaerts",16.336000000000002,79,79 "df_time_campenaerts",16.394000000000002,80,80 "df_time_campenaerts",16.282999999999998,81,81 "df_time_campenaerts",16.356,82,82 "df_time_campenaerts",16.324,83,83 "df_time_campenaerts",16.191000000000003,84,84 "df_time_campenaerts",16.137000000000004,85,85 "df_time_campenaerts",16.229,86,86 "df_time_campenaerts",16.282999999999998,87,87 "df_time_campenaerts",16.314000000000004,NA,88 "df_time_campenaerts",16.337000000000003,89,89 "df_time_campenaerts",16.297,90,90 "df_time_campenaerts",16.319000000000003,91,91 "df_time_campenaerts",16.291,92,92 "df_time_campenaerts",16.273,93,93 "df_time_campenaerts",16.306,94,94 "df_time_campenaerts",16.294999999999998,95,95 "df_time_campenaerts",16.271,96,96 "df_time_campenaerts",16.335,97,97 "df_time_campenaerts",16.381,98,98 "df_time_campenaerts",16.396,99,99 "df_time_campenaerts",16.241999999999997,100,100 "df_time_campenaerts",16.177000000000003,101,101 "df_time_campenaerts",16.279,102,102 "df_time_campenaerts",16.335,103,103 "df_time_campenaerts",16.246,104,104 "df_time_campenaerts",16.258,105,105 "df_time_campenaerts",16.256,106,106 "df_time_campenaerts",16.247999999999998,107,107 "df_time_campenaerts",16.261,108,108 "df_time_campenaerts",16.207,109,109 "df_time_campenaerts",16.21,110,110 "df_time_campenaerts",16.185,111,111 "df_time_campenaerts",16.258,112,112 "df_time_campenaerts",16.343,113,113 "df_time_campenaerts",16.354000000000003,114,114 "df_time_campenaerts",16.332,115,115 "df_time_campenaerts",16.274,116,116 "df_time_campenaerts",16.216,117,117 "df_time_campenaerts",16.164,118,118 "df_time_campenaerts",16.241,119,119 "df_time_campenaerts",16.305,120,120 "df_time_campenaerts",16.291,121,121 "df_time_campenaerts",16.254,122,122 "df_time_campenaerts",16.238,123,123 "df_time_campenaerts",16.267,124,124 "df_time_campenaerts",16.198,125,125 "df_time_campenaerts",16.165,126,126 "df_time_campenaerts",16.155,127,127 "df_time_campenaerts",16.167,128,128 "df_time_campenaerts",16.167,129,129 "df_time_campenaerts",16.259999999999998,130,130 "df_time_campenaerts",16.419999999999998,131,131 "df_time_campenaerts",16.45,132,132 "df_time_campenaerts",16.453,133,133 "df_time_campenaerts",16.39,134,134 "df_time_campenaerts",16.326,135,135 "df_time_campenaerts",16.317000000000004,136,136 "df_time_campenaerts",16.448999999999998,137,137 "df_time_campenaerts",16.459999999999997,138,138 "df_time_campenaerts",16.403,139,139 "df_time_campenaerts",16.381,140,140 "df_time_campenaerts",16.379,141,141 "df_time_campenaerts",16.353,142,142 "df_time_campenaerts",16.291999999999998,143,143 "df_time_campenaerts",16.328,144,144 "df_time_campenaerts",16.246,145,145 "df_time_campenaerts",16.391000000000002,147,146 "df_time_campenaerts",16.259,148,147 "df_time_campenaerts",16.355,149,148 "df_time_campenaerts",16.508,150,149 "df_time_campenaerts",16.415,151,150 "df_time_campenaerts",16.317000000000004,152,151 "df_time_campenaerts",16.38,153,152 "df_time_campenaerts",16.321,154,153 "df_time_campenaerts",16.374000000000002,155,154 "df_time_campenaerts",16.419999999999998,156,155 "df_time_campenaerts",16.421,157,156 "df_time_campenaerts",16.447,158,157 "df_time_campenaerts",16.424999999999997,159,158 "df_time_campenaerts",16.392,160,159 "df_time_campenaerts",16.423,161,160 "df_time_campenaerts",16.448999999999998,162,161 "df_time_campenaerts",16.432,163,162 "df_time_campenaerts",16.412,164,163 "df_time_campenaerts",16.464999999999996,166,164 "df_time_campenaerts",16.496,167,165 "df_time_campenaerts",16.479,168,166 "df_time_campenaerts",16.445999999999998,169,167 "df_time_campenaerts",16.485999999999997,170,168 "df_time_campenaerts",16.474999999999998,171,169 "df_time_campenaerts",16.395,172,170 "df_time_campenaerts",16.444999999999997,173,171 "df_time_campenaerts",16.427,174,172 "df_time_campenaerts",16.383,175,173 "df_time_campenaerts",16.427,176,174 "df_time_campenaerts",16.45,177,175 "df_time_campenaerts",16.414,178,176 "df_time_campenaerts",16.415,179,177 "df_time_campenaerts",16.534000000000002,180,178 "df_time_campenaerts",16.491999999999997,181,179 "df_time_campenaerts",16.528,182,180 "df_time_campenaerts",16.453,183,181 "df_time_campenaerts",16.447999999999997,184,182 "df_time_campenaerts",16.391000000000002,185,183 "df_time_campenaerts",16.256,186,184 "df_time_campenaerts",16.314000000000004,187,185 "df_time_campenaerts",16.378,188,186 "df_time_campenaerts",16.365,189,187 "df_time_campenaerts",16.389,190,188 "df_time_campenaerts",16.364,191,189 "df_time_campenaerts",16.429,192,190 "df_time_campenaerts",16.374000000000002,193,191 "df_time_campenaerts",16.429,194,192 "df_time_campenaerts",16.356,195,193 "df_time_campenaerts",16.362,196,194 "df_time_campenaerts",16.329,197,195 "df_time_campenaerts",16.284,198,196 "df_time_campenaerts",16.318,199,197 "df_time_campenaerts",16.395,200,198 "df_time_campenaerts",16.287,201,199 "df_time_campenaerts",16.361,202,200 "df_time_campenaerts",16.487999999999996,203,201 "df_time_campenaerts",16.421,204,202 "df_time_campenaerts",16.305,205,203 "df_time_campenaerts",16.256,206,204 "df_time_campenaerts",16.421999999999997,207,205 "df_time_campenaerts",16.333000000000002,208,206 "df_time_campenaerts",16.391000000000002,209,207 "df_time_campenaerts",16.316000000000003,211,208 "df_time_campenaerts",16.223,212,209 "df_time_campenaerts",16.306,213,210 "df_time_campenaerts",16.234,214,211 "df_time_campenaerts",16.204,215,212 "df_time_campenaerts",16.197000000000003,216,213 "df_time_campenaerts",16.174000000000003,217,214 "df_time_campenaerts",16.061999999999998,218,215 "df_time_campenaerts",16.084,219,216 "df_time_campenaerts",15.925,220,217 "df_time_ganna",15.906,65,1 "df_time_ganna",16.029,66,2 "df_time_ganna",16.07,67,3 "df_time_ganna",16.061999999999998,68,4 "df_time_ganna",15.906,69,5 "df_time_ganna",15.96,70,6 "df_time_ganna",16.034000000000002,71,7 "df_time_ganna",15.89,72,8 "df_time_ganna",15.965000000000002,73,9 "df_time_ganna",15.93,74,10 "df_time_ganna",15.899000000000001,75,11 "df_time_ganna",15.766,76,12 "df_time_ganna",15.929,77,13 "df_time_ganna",15.986,78,14 "df_time_ganna",15.841,79,15 "df_time_ganna",15.88,80,16 "df_time_ganna",15.919,81,17 "df_time_ganna",15.94,82,18 "df_time_ganna",15.912,83,19 "df_time_ganna",15.927999999999999,84,20 "df_time_ganna",15.998,85,21 "df_time_ganna",15.876000000000001,86,22 "df_time_ganna",15.83,87,23 "df_time_ganna",15.874,88,24 "df_time_ganna",15.936,89,25 "df_time_ganna",15.846,90,26 "df_time_ganna",15.832,91,27 "df_time_ganna",15.867,92,28 "df_time_ganna",15.91,93,29 "df_time_ganna",15.958,94,30 "df_time_ganna",15.969000000000001,95,31 "df_time_ganna",15.849,96,32 "df_time_ganna",15.818,97,33 "df_time_ganna",15.860000000000001,98,34 "df_time_ganna",15.827,99,35 "df_time_ganna",15.889000000000001,100,36 "df_time_ganna",15.882000000000001,101,37 "df_time_ganna",15.851,102,38 "df_time_ganna",15.766,103,39 "df_time_ganna",15.88,104,40 "df_time_ganna",15.836,105,41 "df_time_ganna",15.767,106,42 "df_time_ganna",15.783,107,43 "df_time_ganna",15.723999999999998,108,44 "df_time_ganna",15.697,109,45 "df_time_ganna",15.752,110,46 "df_time_ganna",15.808,111,47 "df_time_ganna",15.839,112,48 "df_time_ganna",15.762,113,49 "df_time_ganna",15.897,114,50 "df_time_ganna",15.597999999999999,115,51 "df_time_ganna",15.571,116,52 "df_time_ganna",15.67,117,53 "df_time_ganna",15.633999999999999,118,54 "df_time_ganna",15.61,119,55 "df_time_ganna",15.706999999999999,120,56 "df_time_ganna",15.697999999999999,121,57 "df_time_ganna",15.625,122,58 "df_time_ganna",15.687999999999999,123,59 "df_time_ganna",15.7,124,60 "df_time_ganna",15.697999999999999,125,61 "df_time_ganna",15.753,126,62 "df_time_ganna",15.684,127,63 "df_time_ganna",15.737999999999998,128,64 "df_time_ganna",15.722999999999999,129,65 "df_time_ganna",15.653,130,66 "df_time_ganna",15.652000000000001,131,67 "df_time_ganna",15.600999999999999,132,68 "df_time_ganna",15.619,133,69 "df_time_ganna",15.613999999999999,134,70 "df_time_ganna",15.642,135,71 "df_time_ganna",15.666,136,72 "df_time_ganna",15.636,137,73 "df_time_ganna",15.558,138,74 "df_time_ganna",15.586,139,75 "df_time_ganna",15.668,140,76 "df_time_ganna",15.679,141,77 "df_time_ganna",15.572000000000001,142,78 "df_time_ganna",15.509,143,79 "df_time_ganna",15.452000000000002,144,80 "df_time_ganna",15.426,145,81 "df_time_ganna",15.558,146,82 "df_time_ganna",15.582,147,83 "df_time_ganna",15.56,148,84 "df_time_ganna",15.506,149,85 "df_time_ganna",15.591,150,86 "df_time_ganna",15.429,151,87 "df_time_ganna",15.357000000000001,152,88 "df_time_ganna",15.292,153,89 "df_time_ganna",15.357000000000001,154,90 "df_time_ganna",15.333,155,91 "df_time_ganna",15.289,156,92 "df_time_ganna",15.329,157,93 "df_time_ganna",15.326,158,94 "df_time_ganna",15.429,159,95 "df_time_ganna",15.370000000000001,160,96 "df_time_ganna",15.386000000000001,161,97 "df_time_ganna",15.355000000000002,162,98 "df_time_ganna",15.350000000000001,163,99 "df_time_ganna",15.345,164,100 "df_time_ganna",15.398,165,101 "df_time_ganna",15.257,166,102 "df_time_ganna",15.290999999999999,167,103 "df_time_ganna",15.26,168,104 "df_time_ganna",15.342,169,105 "df_time_ganna",15.270999999999999,170,106 "df_time_ganna",15.364,171,107 "df_time_ganna",15.484,172,108 "df_time_ganna",15.405000000000001,173,109 "df_time_ganna",15.372000000000002,174,110 "df_time_ganna",15.31,175,111 "df_time_ganna",15.44,176,112 "df_time_ganna",15.378,177,113 "df_time_ganna",15.473,178,114 "df_time_ganna",15.403,179,115 "df_time_ganna",15.389000000000001,180,116 "df_time_ganna",15.369000000000002,181,117 "df_time_ganna",15.505,182,118 "df_time_ganna",15.415000000000001,183,119 "df_time_ganna",15.418,184,120 "df_time_ganna",15.419,185,121 "df_time_ganna",15.374,186,122 "df_time_ganna",15.440999999999999,187,123 "df_time_ganna",15.517,188,124 "df_time_ganna",15.47,189,125 "df_time_ganna",15.412,190,126 "df_time_ganna",15.379000000000001,191,127 "df_time_ganna",15.414,192,128 "df_time_ganna",15.455000000000002,193,129 "df_time_ganna",15.493,194,130 "df_time_ganna",15.493,195,131 "df_time_ganna",15.5,196,132 "df_time_ganna",15.422,197,133 "df_time_ganna",15.451,198,134 "df_time_ganna",15.594,199,135 "df_time_ganna",15.623999999999999,200,136 "df_time_ganna",15.66,201,137 "df_time_ganna",15.705,202,138 "df_time_ganna",15.792,203,139 "df_time_ganna",15.57,204,140 "df_time_ganna",15.642,205,141 "df_time_ganna",15.75,206,142 "df_time_ganna",15.697999999999999,207,143 "df_time_ganna",15.629999999999999,208,144 "df_time_ganna",15.619,209,145 "df_time_ganna",15.706999999999999,210,146 "df_time_ganna",15.715,211,147 "df_time_ganna",15.658,212,148 "df_time_ganna",15.874,213,149 "df_time_ganna",15.725,214,150 "df_time_ganna",15.713999999999999,215,151 "df_time_ganna",15.802000000000001,216,152 "df_time_ganna",15.779,217,153 "df_time_ganna",15.901,218,154 "df_time_ganna",15.792,219,155 "df_time_ganna",15.567,220,156 "df_time_ganna",15.720999999999998,221,157 "df_time_ganna",15.767,222,158 "df_time_ganna",15.824,223,159 "df_time_ganna",15.629999999999999,224,160 "df_time_ganna",15.695,225,161 "df_time_ganna",15.527999999999999,226,162 "df_time_ganna",15.9,227,163 "df_time_ganna",23.529,1,164 "df_time_ganna",16.799,2,165 "df_time_ganna",16.587999999999997,3,166 "df_time_ganna",16.381999999999998,4,167 "df_time_ganna",16.539,5,168 "df_time_ganna",16.59,6,169 "df_time_ganna",16.509,7,170 "df_time_ganna",16.32,NA,171 "df_time_ganna",16.284999999999997,9,172 "df_time_ganna",16.318,10,173 "df_time_ganna",16.371000000000002,11,174 "df_time_ganna",16.482999999999997,12,175 "df_time_ganna",16.423,13,176 "df_time_ganna",16.252,14,177 "df_time_ganna",16.311000000000003,15,178 "df_time_ganna",16.371000000000002,16,179 "df_time_ganna",16.481999999999996,17,180 "df_time_ganna",16.394000000000002,18,181 "df_time_ganna",16.179000000000002,19,182 "df_time_ganna",16.128,20,183 "df_time_ganna",16.239,21,184 "df_time_ganna",16.348,22,185 "df_time_ganna",16.348,23,186 "df_time_ganna",16.243,24,187 "df_time_ganna",16.276,25,188 "df_time_ganna",16.279999999999998,26,189 "df_time_ganna",16.296,27,190 "df_time_ganna",16.294,28,191 "df_time_ganna",16.287999999999997,29,192 "df_time_ganna",16.337000000000003,30,193 "df_time_ganna",16.247999999999998,31,194 "df_time_ganna",16.274,32,195 "df_time_ganna",16.216,33,196 "df_time_ganna",16.22,34,197 "df_time_ganna",16.276,35,198 "df_time_ganna",16.216,36,199 "df_time_ganna",16.205,37,200 "df_time_ganna",16.179000000000002,38,201 "df_time_ganna",16.301000000000002,39,202 "df_time_ganna",16.285999999999998,40,203 "df_time_ganna",16.189,41,204 "df_time_ganna",16.159000000000002,42,205 "df_time_ganna",16.089,43,206 "df_time_ganna",16.152,44,207 "df_time_ganna",16.155,45,208 "df_time_ganna",16.14,46,209 "df_time_ganna",16.179000000000002,47,210 "df_time_ganna",16.058,48,211 "df_time_ganna",16.227,49,212 "df_time_ganna",16.098,50,213 "df_time_ganna",16.079,51,214 "df_time_ganna",16.126,52,215 "df_time_ganna",16.039,53,216 "df_time_ganna",16.043,54,217 "df_time_ganna",16.066,55,218 "df_time_ganna",16.079,56,219 "df_time_ganna",16.029,57,220 "df_time_ganna",15.901,58,221 "df_time_ganna",15.833,59,222 "df_time_ganna",15.973,60,223 "df_time_ganna",15.973,61,224 "df_time_ganna",16.089,62,225 "df_time_ganna",16.072,63,226 "df_time_ganna",16.033,64,227