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The document presents a dataset of time, x-distance, y-distance, and their corresponding velocities in both x and y directions over a period. The data is recorded at various time intervals, showing changes in position and velocity. It includes both positive and negative values for velocity, indicating varying movement dynamics.

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bettyaurorapinzonsolano
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23 views2 pages

2 3

The document presents a dataset of time, x-distance, y-distance, and their corresponding velocities in both x and y directions over a period. The data is recorded at various time intervals, showing changes in position and velocity. It includes both positive and negative values for velocity, indicating varying movement dynamics.

Uploaded by

bettyaurorapinzonsolano
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as TXT, PDF, TXT or read online on Scribd
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#time[s] x-distance[m] y-distance[m] Øx-velocity[m/s] Øy-velocity[m/s]

0.0000 0.0810 0.0505


0.0330 0.0806 0.0633 -0.0110 0.3865
0.0660 0.0817 0.0403 0.0331 -0.6956
0.0990 0.0934 0.0345 0.3534 -0.1766
0.1330 0.0832 0.0418 -0.3001 0.2142
0.1660 0.0759 0.0312 -0.2208 -0.3202
0.1990 0.0825 0.0407 0.1987 0.2871
0.2320 0.0712 0.0410 -0.3423 0.0111
0.2660 0.0799 0.0469 0.2572 0.1714
0.2990 0.0737 0.0377 -0.1877 -0.2761
0.3320 0.0701 0.0469 -0.1104 0.2761
0.3650 0.0621 0.0392 -0.2428 -0.2318
0.3990 0.0577 0.0308 -0.1286 -0.2465
0.4320 0.0661 0.0429 0.2540 0.3644
0.4650 0.0588 0.0348 -0.2208 -0.2430
0.4990 0.0580 0.0483 -0.0215 0.3966
0.5320 0.0697 0.0356 0.3534 -0.3865
0.5650 0.0799 0.0432 0.3092 0.2318
0.5980 0.0599 0.0261 -0.6073 -0.5190
0.6320 0.0752 0.0345 0.4502 0.2466
0.6650 0.0639 0.0487 -0.3423 0.4306
0.6980 0.0577 0.0348 -0.1877 -0.4196
0.7310 0.0792 0.0348 0.6514 0.0000
0.7650 0.0679 0.0286 -0.3322 -0.1822
0.7980 0.0686 0.0345 0.0221 0.1767
0.8310 0.0770 0.0297 0.2540 -0.1436
0.8640 0.0857 0.0166 0.2649 -0.3975
0.8980 0.1007 0.0028 0.4395 -0.4072
0.9310 0.0825 0.0275 -0.5521 0.7509
0.9640 0.0774 0.0370 -0.1546 0.2871
0.9980 0.0777 0.0254 0.0108 -0.3429
1.0310 0.0755 0.0421 -0.0663 0.5079
1.0640 0.0766 0.0436 0.0331 0.0441
1.0970 0.0814 0.0308 0.1436 -0.3864
1.1310 0.1047 0.0319 0.6859 0.0321
1.1640 0.1094 0.0418 0.1435 0.2981
1.1970 0.1123 0.0341 0.0883 -0.2318
1.2300 0.1375 -0.0111 0.7620 -1.3692
1.2640 0.1225 0.0192 -0.4395 0.8895
1.2970 0.1273 0.0184 0.1436 -0.0221
1.3300 0.1255 0.0272 -0.0552 0.2651
1.3630 0.1163 0.0377 -0.2761 0.3202
1.3970 0.1054 0.0334 -0.3215 -0.1286
1.4300 0.1258 0.0261 0.6183 -0.2208
1.4630 0.1251 0.0272 -0.0221 0.0332
1.4970 0.1404 0.0323 0.4502 0.1500
1.5300 0.1211 0.0352 -0.5852 0.0883
1.5630 0.1367 0.0297 0.4748 -0.1656
1.5960 0.1400 0.0166 0.0993 -0.3975
1.6300 0.1393 0.0203 -0.0214 0.1072
1.6630 0.1265 0.0090 -0.3865 -0.3423
1.6960 0.1491 0.0101 0.6845 0.0331
1.7290 0.1499 0.0090 0.0221 -0.0331
1.7630 0.2366 -0.0224 2.5507 -0.9217
1.7960 0.2869 0.0738 1.5237 2.9150
1.8290 0.3525 0.1769 1.9876 3.1249
1.8620 0.3900 0.3242 1.1372 4.4609
1.8960 0.4461 0.4422 1.6505 3.4723
1.9290 0.4359 0.5501 -0.3093 3.2685
1.9620 0.4250 0.6415 -0.3312 2.7715
1.9960 0.4181 0.7866 -0.2037 4.2654
2.0290 0.3856 0.8875 -0.9827 3.0586
2.0620 0.3623 0.9899 -0.7067 3.1027
2.0950 0.2949 1.1116 -2.0427 3.6881
2.1290 0.2603 1.2187 -1.0182 3.1508
2.1620 0.1834 1.3233 -2.3298 3.1690
2.1950 0.1324 1.3947 -1.5459 2.1642
2.2280 0.0325 1.4891 -3.0254 2.8598
2.2620 -0.0771 1.6028 -3.2259 3.3438
2.2950 -0.1628 1.6906 -2.5948 2.6611
2.3280 -0.2754 1.7780 -3.4120 2.6500
2.3610 -0.3785 1.8385 -3.1248 1.8330
2.3950 -0.5377 1.9792 -4.6834 4.1368
2.4280 -0.6725 2.1002 -4.0855 3.6658
2.4610 -0.8194 2.1657 -4.4499 1.9876
2.4950 -0.9604 2.2459 -4.1475 2.3577
2.5280 -1.1280 2.2791 -5.0792 1.0048

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