Class 12: Practice with vectors in R
Computing for Molecular Biology 1
Andrés Aravena, PhD
9 November 2020
Loading data in R
We saw this on Class 8
Download COVID-19 data from WHO
Open the webpage
https://covid19.who.int/WHO-COVID-19-global-data.csv
This is a text file
The extension .csv means “comma-separated values”
Save it in your computer
- Use the “Save…” option in your web browser
- You may need to right-click on the window
- Pay attention to the folder used to save the file
- Try to use
Downloads
- Try to use
- Be carful with the file extension
- See this https://youtu.be/PoTah9YBG2Y
- and this https://youtu.be/6rOCUZ8opLM
One way to load data into R
Environment → Import Dataset → From Text (base)…
Find the file that you already downloaded
This will move data from the disk to the main memory
Change the name to covid
See the code in the console
The console shows the command used to read the file
Next time we can import data by writing this command
We can see covid on “Environment”
It is a big table, with thousands of rows
This is a data frame
Bidimensional structure
- Rows and columns
Each column is a vector
- They can be of a different type but same length
Each column has a name
Vectors
Selecting vectors from data frame
The easiest way to get a vector from a data frame is to use $
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[10] 0 0 0 0 0 0 0 0 0
[19] 0 0 0 0 0 0 0 0 0
[28] 0 0 0 0 0 0 0 0 0
[37] 0 0 0 0 0 0 0 0 0
[46] 0 0 0 0 0 0 0 5 0
[55] 0 0 0 0 0 0 0 0 0
[64] 0 3 0 0 0 3 0 0 3
[73] 6 5 1 0 0 -2 0 10 6
[82] 2 32 6 11 15 8 0 52 26
[91] 43 34 1 29 38 30 56 61 37
[100] 0 34 110 49 70 10 51 63 88
[109] 0 96 84 0 50 237 0 240 124
[118] 0 344 0 298 0 0 755 168 171
[127] 0 478 361 262 303 259 113 714 349
[136] 262 408 583 490 531 540 736 716 512
[145] 737 548 637 643 784 651 656 742 775
[154] 624 1078 582 791 575 305 920 748 656
[163] 556 664 761 106 1241 463 541 419 536
[172] 310 338 159 535 85 356 351 271 121
[181] 403 260 302 348 279 113 320 210 59
[190] 541 157 100 4 285 200 130 159 60
[199] 186 34 106 112 188 66 55 121 106
[208] 105 103 71 0 168 0 0 37 82
[217] 67 41 78 39 0 215 76 79 7
[226] 120 45 0 3 0 160 97 38 59
[235] 46 71 43 16 11 3 0 19 34
[244] 47 45 0 16 94 96 26 24 28
[253] 34 35 75 56 43 40 17 11 36
[262] 125 30 22 49 25 16 6 35 12
[271] 15 14 17 5 7 44 81 64 62
[280] 68 77 10 96 71 58 66 32 47
[289] 68 59 87 88 0 49 116 61 81
[298] 65 104 95 113 123 66 91 76 132
[307] 95 86 121 40 58 0 0 0 0
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[352] 0 0 0 0 0 0 0 0 0
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[370] 0 0 0 0 0 0 0 0 2
[379] 0 0 1 0 0 0 2 9 4
[388] 3 11 19 0 15 19 23 28 12
[397] 11 15 11 20 34 0 0 56 0
[406] 44 0 23 9 7 0 30 0 29
[415] 0 19 24 30 0 14 47 25 0
[424] 44 0 34 14 10 30 7 0 16
[433] 6 8 17 12 0 18 6 12 0
[442] 4 4 4 18 35 13 2 0 16
[451] 5 0 12 8 15 25 21 26 23
[460] 23 14 7 36 20 36 15 20 14
[469] 17 36 42 44 31 48 57 69 82
[478] 50 66 50 0 53 104 52 67 78
[487] 77 61 72 64 69 45 82 90 67
[496] 74 71 74 68 82 90 93 83 117
[505] 96 85 99 55 0 102 82 81 119
[514] 68 108 104 67 126 117 117 108 92
[523] 79 120 123 101 130 139 127 135 124
[532] 136 125 140 141 154 146 143 120 119
[541] 155 158 155 152 156 152 178 154 168
[550] 156 112 84 101 133 93 122 116 123
[559] 135 153 151 147 151 156 161 164 168
[568] 167 152 144 132 125 153 159 150 131
[577] 121 134 124 108 106 132 127 131 157
[586] 159 152 149 144 158 162 169 167 165
[595] 168 171 182 203 257 289 273 281 295
[604] 301 297 302 306 302 299 288 284 311
[613] 275 319 241 327 321 381 396 421 489
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[685] 0 5 0 0 3 0 0 5 0
[694] 12 12 0 11 12 10 8 0 45
[703] 62 30 33 0 41 62 42 45 57
[712] 73 263 139 185 80 0 172 45 104
[721] 94 95 64 89 69 87 90 108 150
[730] 116 95 89 93 99 97 120 129 126
[739] 135 132 199 158 148 141 179 174 190
[748] 159 185 187 189 165 168 176 186 189
[757] 188 191 198 182 176 165 186 190 195
[766] 193 197 194 160 140 137 133 127 119
[775] 113 107 98 104 115 104 111 117 102
[784] 105 109 112 109 112 116 121 117 119
[793] 127 140 149 156 172 197 240 283 305
[802] 298 336 365 385 413 430 441 463 475
[811] 469 460 434 470 483 494 527 554 585
[820] 593 601 535 607 587 594 612 675 0
[829] 1198 616 642 614 602 563 556 515 507
[838] 532 551 571 529 538 521 498 492 495
[847] 488 477 469 450 442 0 822 411 0
[856] 810 392 398 370 391 397 387 379 364
[865] 348 339 325 311 304 298 293 289 285
[874] 278 272 264 255 0 489 238 232 228
[883] 219 210 203 197 191 186 0 354 160
[892] 153 146 155 162 160 157 148 141 134
[901] 129 121 138 146 136 132 153 174 0
[910] 378 221 205 199 214 223 252 266 273
[919] 0 0 0 789 287 320 306 319 291
[928] 0 0 0 330 1897 0 0 0 0
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[1279] 0 0 0 0 0 0 0 0 0
[1288] 0 0 0 0 0 0 0 0 0
[1297] 0 0 0 0 0 0 0 0 1
[1306] 0 0 0 0 0 0 0 0 0
[1315] 0 1 0 0 12 25 0 36 19
[1324] 39 1 31 48 18 58 32 20 29
[1333] 6 20 0 33 13 24 57 17 11
[1342] 15 23 13 20 17 12 8 14 21
[1351] 9 1 13 1 5 1 2 7 5
[1360] 2 1 1 2 2 0 1 2 2
[1369] 0 1 0 2 0 2 0 3 2
[1378] 0 0 0 0 0 0 1 0 0
[1387] 1 0 0 0 0 1 0 0 0
[1396] 1 79 7 1 0 0 0 0 0
[1405] 0 0 1 0 0 0 1 0 1
[1414] 0 0 0 0 0 0 0 0 0
[1423] 0 0 0 0 0 0 0 0 0
[1432] 0 0 0 0 0 0 3 3 1
[1441] 15 3 0 0 4 0 5 0 8
[1450] 0 7 3 4 7 4 3 5 6
[1459] 1 2 0 6 11 0 0 7 10
[1468] 4 4 8 8 0 8 7 12 12
[1477] 11 0 0 13 0 38 13 13 0
[1486] 0 52 8 15 9 7 0 0 46
[1495] 0 40 0 43 0 0 94 0 45
[1504] 0 81 0 0 117 0 72 0 83
[1513] 0 0 130 0 84 0 60 0 0
[1522] 260 0 198 0 128 0 0 299 0
[1531] 195 0 187 0 0 246 0 188 0
[1540] 227 0 0 287 85 107 50 98 91
[1549] 69 63 22 135 90 0 184 0 0
[1558] 0 0 0 0 0 0 0 0 0
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[1630] 0 0 0 0 2 0 0 0 0
[1639] 0 0 0 0 0 5 0 1 0
[1648] 2 0 4 2 1 2 0 0 0
[1657] 0 0 0 0 0 0 0 0 5
[1666] 0 0 1 0 0 1 1 0 0
[1675] 0 2 6 0 0 1 0 0 0
[1684] 7 2 0 0 0 3 0 0 0
[1693] 2 2 6 2 0 0 9 0 2
[1702] 0 2 8 3 2 0 0 0 0
[1711] 0 0 5 1 4 17 5 12 8
[1720] 2 2 0 13 11 0 6 4 7
[1729] 6 8 15 0 47 8 9 8 7
[1738] 24 13 18 7 0 33 10 62 4
[1747] 21 23 19 16 35 31 31 49 18
[1756] 44 30 33 39 29 36 16 18 50
[1765] 78 31 0 39 16 116 64 51 88
[1774] 55 34 100 7 56 27 53 37 27
[1783] 27 29 31 49 29 24 66 37 51
[1792] 61 49 83 56 80 73 30 75 48
[1801] 28 71 59 30 16 52 59 125 62
[1810] 56 53 51 130 106 114 59 53 90
[1819] 0 245 127 112 115 82 46 79 108
[1828] 67 142 97 159 0 160 0 333 95
[1837] 73 215 120 122 192 166 250 126 240
[1846] 160 207 220 289 244 247 197 355 263
[1855] 227 203 195 289 247 230 193 349 236
[1864] 289 121 112 0 0 0 0 0 0
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[1891] 0 0 0 0 0 0 0 0 0
[1900] 0 0 0 0 0 0 0 0 0
[1909] 0 0 0 0 0 0 0 0 0
[1918] 0 0 0 0 0 0 0 0 0
[1927] 0 0 0 0 0 0 0 0 0
[1936] 0 0 0 0 0 0 0 0 0
[1945] 0 0 0 0 0 2 0 0 0
[1954] 0 0 0 0 0 1 0 0 0
[1963] 0 0 0 0 0 0 0 0 0
[1972] 0 0 0 0 0 0 0 0 0
[1981] 0 0 0 0 0 0 0 0 0
[1990] 0 0 0 0 0 0 0 0 0
[1999] 0 0 0 0 0 0 0 0 0
[2008] 0 0 0 0 0 0 0 0 0
[2017] 0 0 0 0 0 0 0 0 0
[2026] 0 0 0 0 0 0 0 0 0
[2035] 0 0 0 0 0 0 0 0 0
[2044] 0 0 0 0 0 0 0 0 0
[2053] 0 0 0 0 0 0 0 0 0
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[2242] 0 0 0 0 0 0 5 0 0
[2251] 0 0 0 0 0 0 0 0 -2
[2260] 0 0 0 4 0 0 0 0 0
[2269] 0 0 0 0 8 0 4 0 0
[2278] 2 0 2 0 0 0 0 0 0
[2287] 0 0 1 0 0 0 0 0 0
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[2341] 1 0 0 0 0 0 0 0 0
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[2359] 0 2 0 0 0 0 2 0 3
[2368] 0 1 0 0 0 0 0 0 2
[2377] 0 0 0 0 0 0 6 0 0
[2386] 4 0 5 0 0 0 0 1 0
[2395] 0 0 0 0 0 0 0 0 1
[2404] 0 0 0 0 1 0 0 0 0
[2413] 0 0 0 0 0 0 0 0 0
[2422] 0 1 0 0 0 0 0 0 0
[2431] 0 0 0 0 0 0 0 0 0
[2440] 1 0 0 1 0 1 0 3 0
[2449] 0 0 0 5 0 1 0 0 1
[2458] 0 3 0 0 0 0 1 0 0
[2467] 1 6 0 0 3 0 0 0 2
[2476] 0 0 0 0 3 0 1 0 0
[2485] 2 0 0 0 0 0 0 0 0
[2494] 0 0 0 0 0 0 0 0 0
[2503] 0 0 0 0 0 0 0 0 0
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[2530] 0 0 0 0 0 0 0 0 0
[2539] 0 0 0 0 0 0 0 0 0
[2548] 0 5 0 0 1 7 3 0 0
[2557] 5 2 12 14 0 11 9 32 0
[2566] 27 30 0 67 76 0 201 0 87
[2575] 101 55 75 146 88 79 132 88 98
[2584] 103 74 87 80 134 46 0 277 84
[2593] 141 121 96 90 55 121 113 124 143
[2602] 139 222 137 54 127 182 103 172 56
[2611] 149 118 123 154 229 225 150 244 110
[2620] 244 285 410 161 345 326 263 303 438
[2629] 474 648 718 704 723 552 600 705 769
[2638] 0 1512 637 564 904 949 929 840 983
[2647] 774 826 1141 1226 1386 1391 1531 1282 1208
[2656] 1374 1393 1958 2060 1634 1581 2146 2285 2635
[2665] 2606 2886 2401 2189 2335 2262 2667 2744 2845
[2674] 2590 2439 2632 2979 3604 3663 3367 3449 2657
[2683] 3099 3645 4250 3623 4518 3223 4231 4019 5344
[2692] 5782 6127 5493 4801 4205 4890 5939 5641 6377
[2701] 5929 5241 5376 4824 6792 7147 7513 7482 6134
[2710] 4688 7369 7043 7663 7498 6365 6663 5469 4557
[2719] 6840 6693 8225 8159 7759 5352 8713 8771 10550
[2728] 10104 11717 9230 7187 9309 10504 10933 12026 10684
[2737] 9924 6986 9215 12027 12259 11905 11507 10776 9056
[2746] 9909 11892 11674 12701 11945 9276 8431 8782 12027
[2755] 12625 13467 12969 11249 8841 11807 13477 14392 14001
[2764] 14687 11129 7668 11242 14740 16447 15454 15099 12414
[2773] 10324 9524 13305 14932 17096 16546 13510 10561 12982
[2782] 18735 15928 16325 15718 11968 9253 11712 14308 13924
[2791] 13267 13379 9745 6609 9598 13281 9516 11100 11786
[2800] 0 0 0 0 0 0 0 0 0
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[2890] 23 69 96 10 0 87 44 44 16
[2899] 0 76 26 0 28 68 24 42 47
[2908] 43 48 38 96 50 73 150 62 59
[2917] 65 134 82 125 113 121 112 163 102
[2926] 145 146 138 79 146 180 118 208 239
[2935] 189 351 218 230 335 322 374 359 452
[2944] 289 372 442 460 251 355 210 517 515
[2953] 697 596 547 766 195 350 428 566 612
[2962] 723 663 397 425 544 665 459 551 560
[2971] 320 418 711 771 759 662 736 482 415
[2980] 523 593 662 580 706 330 349 535 526
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[3007] 239 308 259 354 291 209 52 196 288
[3016] 233 66 300 225 23 160 201 229 276
[3025] 196 168 38 145 210 263 158 139 176
[3034] 33 111 131 203 181 175 124 31 97
[3043] 197 196 190 188 134 62 108 199 174
[3052] 177 172 187 107 150 257 295 239 244
[3061] 277 121 115 210 374 392 429 328 174
[3070] 327 458 491 532 543 571 181 406 672
[3079] 718 614 649 715 370 745 1058 1371 1465
[3088] 1540 1694 766 1234 1836 2306 2474 2213 2314
[3097] 973 1600 2241 2383 2398 2381 2441 1194 1328
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[3187] -3 0 0 0 3 4 0 7 0
[3196] 9 18 0 4 5 0 5 2 2
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[3313] 2 0 0 0 0 2 0 0 0
[3322] 1 0 0 2 2 8 39 92 0
[3331] 0 300 67 87 81 96 0 0 208
[3340] 19 84 91 91 0 0 181 60 42
[3349] 90 88 0 0 149 9 98 107 81
[3358] 0 0 157 33 107 141 89 0 0
[3367] 227 14 92 176 54 0 0 169 36
[3376] 78 56 35 0 0 88 28 62 29
[3385] 35 0 0 81 15 14 25 17 0
[3394] 0 44 3 32 26 30 0 0 37
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[3412] 18 17 0 0 47 5 14 15 11
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[3448] 2 2 0 3 0 0 1 1 1
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[3466] 0 0 0 0 0 2 4 1 0
[3475] 1 0 0 0 2 2 6 0 0
[3484] 10 19 8 7 15 0 30 18 49
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[3511] 303 116 374 104 181 160 49 112 96
[3520] 100 137 24 9 44 50 42 10 65
[3529] 73 6 13 22 14 6 20 16 10
[3538] 12 13 8 16 5 16 18 24 24
[3547] 26 21 18 15 12 7 16 11 14
[3556] 30 17 9 15 8 11 2 14 11
[3565] 3 9 15 6 11 23 12 10 9
[3574] 17 8 11 11 4 5 5 2 0
[3583] 18 5 12 18 15 12 23 21 18
[3592] 27 25 13 18 29 37 37 46 45
[3601] 81 67 86 81 254 107 87 137 169
[3610] 131 173 300 194 244 183 271 244 315
[3619] 425 206 361 267 359 468 410 289 355
[3628] 453 532 369 278 721 602 377 641 395
[3637] 411 715 418 410 426 386 313 316 414
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[3655] 195 210 104 137 152 117 126 99 123
[3664] 76 73 104 126 87 71 72 43 52
[3673] 91 48 52 42 44 41 46 41 34
[3682] 48 24 13 14 30 31 10 17 16
[3691] 24 4 19 15 18 17 8 15 13
[3700] 25 8 24 23 15 20 22 31 24
[3709] 21 9 12 7 9 31 14 22 18
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[3727] 7 8 12 11 12 7 0 0 0
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[3817] 1141 668 594 522 805 564 529 418 396
[3826] 241 217 314 343 329 279 312 247 130
[3835] 106 191 136 78 155 59 48 73 50
[3844] 91 61 83 66 55 67 58 50 60
[3853] 34 12 68 31 17 65 22 62 42
[3862] 10 87 36 54 41 63 72 14 25
[3871] 78 18 57 29 46 32 20 38 18
[3880] 28 51 44 4 21 11 31 36 62
[3889] 19 46 21 13 34 28 30 20 24
[3898] 27 33 17 40 30 62 38 35 31
[3907] 33 47 67 64 63 41 111 37 138
[3916] 121 123 73 57 89 101 97 74 108
[3925] 52 12 201 55 153 138 102 63 108
[3934] 139 140 164 107 120 137 64 132 164
[3943] 163 89 126 85 32 131 103 114 130
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[3979] 271 208 220 511 495 754 497 1005 495
[3988] 384 549 860 704 922 821 757 609 593
[3997] 747 661 688 1071 623 526 419 722 1146
[4006] 564 872 830 599 1268 549 947 1221 1181
[4015] 901 1298 608 1171 1606 1396 1691 2040 1062
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[4141] 105 104 65 67 40 50 49 56 30
[4150] 57 33 25 38 44 38 30 44 25
[4159] 28 33 39 49 38 50 40 38 52
[4168] 76 67 77 75 143 97 70 104 65
[4177] 121 101 158 136 113 131 113 118 106
[4186] 127 140 149 132 165 191 230 257 248
[4195] 168 273 325 262 338 379 314 323 315
[4204] 339 352 336 352 387 367 338 329 338
[4213] 438 471 491 478 508 590 547 517 521
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[4285] 135 126 143 154 167 132 161 137 89
[4294] 139 175 142 163 135 155 76 114 141
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[4312] 108 128 38 58 110 80 144 108 130
[4321] 97 143 182 191 215 233 230 122 277
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[68707] 124 48 217 121 135 101 97 145 108
[68716] 122 134 146 114 64 146 434 209 85
[68725] 248 228 128 252 217 284 214 0 0
[68734] 0 0 0 0 0 0 0 0 0
[68743] 0 0 0 0 0 0 0 0 0
[68752] 0 0 0 0 0 0 0 0 0
[68761] 0 0 0 0 0 0 0 0 0
[68770] 0 0 0 0 0 0 0 0 0
[68779] 0 0 0 0 0 0 0 0 0
[68788] 0 0 0 0 1 0 0 0 0
[68797] 0 0 0 0 0 2 0 0 0
[68806] 0 11 2 0 31 0 26 11 29
[68815] 43 62 93 107 62 69 120 135 183
[68824] 109 155 68 143 206 224 311 308 266
[68833] 325 270 392 398 500 444 343 261 415
[68842] 467 578 477 478 492 392 401 456 540
[68851] 455 550 502 418 366 487 507 504 515
[68860] 522 416 375 402 422 483 528 433 325
[68869] 260 354 476 442 432 406 259 339 321
[68878] 477 429 393 468 340 328 483 588 553
[68887] 550 485 463 394 525 689 683 753 648
[68896] 656 666 758 829 921 841 735 681 833
[68905] 940 994 1109 948 917 646 706 664 890
[68914] 875 914 823 543 564 807 810 819 800
[68923] 678 612 638 836 848 809 847 731 651
[68932] 673 829 856 972 1106 920 807 919 1022
[68941] 1197 1090 1172 1112 990 1061 1271 1318 1453
[68950] 1489 1199 1008 1158 1433 1592 1732 1847 1637
[68959] 1464 1616 1967 2134 2106 2328 1987 1799 1658
[68968] 1670 1974 2438 2481 2096 2141 2088 2495 2430
[68977] 2723 2836 2107 2174 2411 2551 2582 3144 3103
[68986] 2476 2462 2905 2958 3584 3228 3240 2966 2675
[68995] 2884 3497 3372 3565 3833 3130 2671 3627 4027
[69004] 4069 4633 4661 4140 3774 4348 4753 5397 5804
[69013] 5728 4769 4419 5133 5590 5062 5992 6410 5231
[69022] 4766 5469 6719 7053 7517 7014 0 11514 6677
[69031] 7474 7342 8312 8752 7959 6754 8899 9524 9850
[69040] 9721 10746 9397 0 0 0 0 0 0
[69049] 0 0 0 0 0 0 0 0 0
[69058] 0 0 0 0 0 0 0 0 0
[69067] 0 0 8 0 0 1 0 0 0
[69076] 0 0 0 2 0 1 0 0 0
[69085] 0 0 1 0 0 0 0 2 2
[69094] 0 0 0 0 6 0 0 2 0
[69103] 6 0 0 18 0 0 14 15 0
[69112] 11 0 0 13 0 0 15 23 0
[69121] 13 0 45 50 85 0 0 135 0
[69130] 143 53 0 150 210 481 0 571 0
[69139] 583 0 331 746 0 387 398 412 432
[69148] 460 477 479 484 490 483 518 525 0
[69157] 1068 0 1031 0 1101 557 0 1125 0
[69166] 1029 0 1048 553 0 1405 0 1463 0
[69175] 1423 747 0 1527 0 1705 0 941 894
[69184] 994 812 781 822 779 883 563 638 726
[69193] 661 635 596 571 659 624 626 540 568
[69202] 528 603 479 513 491 304 342 346 382
[69211] 388 393 388 392 378 380 450 430 410
[69220] 387 437 449 421 402 400 672 716 683
[69229] 528 532 445 532 473 403 401 344 375
[69238] 275 281 293 289 211 271 305 236 254
[69247] 261 313 351 264 369 375 302 283 254
[69256] 239 164 189 254 239 216 239 225 179
[69265] 262 246 277 330 283 210 229 365 435
[69274] 461 391 424 390 275 339 399 491 390
[69283] 427 362 541 574 735 614 612 705 513
[69292] 470 644 883 930 931 1007 640 777 674
[69301] 842 786 865 809 674 679 852 1083 1002
[69310] 1008 1078 851 626 995 1100 1158 1181 1231
[69319] 1041 932 1061 1046 1089 1075 1129 1096 1064
[69328] 1315 1431 1398 1412 1538 1215 915 1077 1538
[69337] 1578 1563 1491 1359 1111 1390 1400 1312 1172
[69346] 1121 1278 1234 1008 1161 1289 1292 1141 0
[69355] 0 0 0 0 0 0 0 0 0
[69364] 0 0 0 0 0 0 0 0 0
[69373] 0 0 0 0 0 0 0 0 0
[69382] 0 0 0 0 0 0 0 0 0
[69391] 0 0 0 0 0 0 0 0 0
[69400] 0 0 0 0 0 0 0 0 0
[69409] 0 0 0 0 0 0 0 0 0
[69418] 0 0 0 0 0 0 0 0 0
[69427] 0 5 2 3 0 0 0 2 0
[69436] 0 1 0 0 1 5 0 1 0
[69445] 0 0 0 2 2 0 1 0 7
[69454] 0 0 17 4 35 6 54 0 23
[69463] 84 0 30 0 15 0 0 0 0
[69472] 180 0 0 0 0 0 0 0 29
[69481] 0 0 0 0 0 0 0 0 0
[69490] 0 0 0 0 0 0 0 0 0
[69499] 0 0 0 0 0 0 0 0 0
[69508] 0 0 0 0 0 0 0 0 0
[69517] 0 0 0 0 0 0 0 0 0
[69526] 0 0 0 0 0 0 0 0 0
[69535] 0 0 0 0 0 0 0 0 0
[69544] 0 0 0 0 0 0 0 0 0
[69553] 0 0 0 0 0 0 0 0 0
[69562] 0 0 0 0 0 0 0 0 0
[69571] 0 0 0 0 0 0 0 0 0
[69580] 0 0 0 0 0 0 0 0 0
[69589] 0 0 0 0 0 0 0 0 0
[69598] 0 0 0 0 0 0 0 0 0
[69607] 0 0 0 0 0 0 0 0 0
[69616] 0 0 0 0 0 0 0 0 0
[69625] 0 0 0 0 0 0 0 0 0
[69634] 0 0 0 0 0 0 0 0 0
[69643] 0 0 0 0 0 0 0 0 0
[69652] 0 0 0 0 0 0 0 0 0
[69661] 0 0 0 0 0 0 0 0 0
[69670] 0 0 0 0 0 0 0 0 0
[69679] 0 0 0 5 0 0 0 1 0
[69688] 3 0 0 0 1 1 1 0 3
[69697] 0 0 1 0 0 0 0 1 0
[69706] 2 0 0 0 0 0 0 0 19
[69715] 1 0 18 0 6 0 3 0 0
[69724] 2 44 21 0 84 0 0 259 224
[69733] 0 291 277 414 36 0 1822 3551 3351
[69742] 4777 0 0 16354 20341 0 16420 0 16894
[69751] 18093 19332 17987 22559 24103 26298 28103 32105 33510
[69760] 26493 29510 31709 30859 35386 31606 31633 29308 24446
[69769] 25802 28711 32549 30023 28252 27668 25634 24019 29127
[69778] 30719 38509 32417 29218 22541 20517 31379 31774 26753
[69787] 31839 29266 16200 22267 22119 30204 25870 26642 23767
[69796] 18044 21424 20840 27090 22813 31967 13227 24417 23310
[69805] 22787 20475 24151 26158 15253 24886 16362 19606 21214
[69814] 17962 23482 26116 14692 24890 14583 20069 28922 28918
[69823] 17848 17536 17235 20315 21745 22133 25314 21754 18514
[69832] 27921 23139 23046 36617 32349 27575 26519 34191 37601
[69841] 40526 44458 44580 41008 35757 43556 54271 53213 51933
[69850] 57186 43686 46194 50263 64630 58975 66281 62369 60113
[69859] 58720 60711 67165 71484 74354 66963 62788 57276 62929
[69868] 69641 71714 74235 63968 61498 54022 59629 65406 67823
[69877] 67499 58388 47183 49151 49629 53373 55318 61028 53893
[69886] 47964 39894 54791 55907 52799 55359 54375 41073 39125
[69895] 37908 46259 43952 45960 44946 37765 32883 37030 45484
[69904] 46194 44002 43983 37068 31808 42662 39402 44563 49131
[69913] 45350 33486 26015 23204 31988 37128 45523 40126 35177
[69922] 34111 34078 40795 42618 48266 41695 36766 39145 49176
[69931] 40043 41254 50070 48958 35217 32688 38476 44985 46293
[69940] 49465 49036 36136 38920 38904 52458 54232 57828 53055
[69949] 45325 46308 46309 59106 63044 69834 52508 46378 59018
[69958] 60155 63361 72342 82630 82626 62364 63145 72042 80384
[69967] 89048 99356 80379 75888 85412 88163 106050 116780 0
[69976] 0 0 0 0 0 0 0 0 0
[69985] 0 0 0 0 0 0 0 0 0
[69994] 0 0 0 0 0 0 0 0 0
[70003] 0 0 0 0 0 0 0 0 0
[70012] 0 0 0 0 0 0 0 0 0
[70021] 0 0 0 0 0 0 0 0 0
[70030] 0 0 0 0 0 0 0 0 0
[70039] 0 0 0 0 0 0 0 5 0
[70048] 0 0 1 1 0 0 -1 0 0
[70057] 11 0 0 0 0 0 5 8 0
[70066] 0 3 4 3 2 1 0 2 1
[70075] 5 0 0 0 0 0 0 0 2
[70084] 0 0 1 0 0 0 1 0 4
[70093] 0 3 4 0 0 0 0 0 0
[70102] 0 2 0 1 0 0 0 0 0
[70111] 0 0 0 0 0 0 0 0 0
[70120] 0 0 0 0 0 0 0 1 0
[70129] 0 1 0 0 0 0 0 1 0
[70138] 0 0 0 0 1 0 0 0 1
[70147] 2 0 0 0 4 1 0 0 0
[70156] 3 6 2 6 13 0 1 4 6
[70165] 22 9 14 14 25 0 37 6 14
[70174] 20 0 14 11 12 16 6 10 9
[70183] 3 11 10 13 8 15 17 1 24
[70192] 18 20 21 6 0 19 29 63 43
[70201] 22 30 7 19 36 32 41 63 0
[70210] 28 24 14 32 22 23 43 11 5
[70219] 5 4 1 6 17 14 9 1 0
[70228] 6 4 10 9 1 4 7 6 4
[70237] 0 27 0 7 2 12 6 0 21
[70246] 0 1 0 5 3 0 0 1 -5
[70255] -1 1 2 0 1 0 0 3 -1
[70264] 2 0 6 0 0 2 6 3 0
[70273] 0 2 3 2 0 9 14 0 2
[70282] 7 3 0 2 0 0 0 0 0
[70291] 0 0 0 0 0 0 0 0 0
[70300] 0 0 0 0 0 0 0 0 0
[70309] 0 0 0 0 0 0 0 0 0
[70318] 0 0 0 0 0 0 0 0 0
[70327] 0 0 0 0 0 0 0 0 0
[70336] 0 0 0 0 0 0 0 0 0
[70345] 0 0 0 0 0 0 0 0 0
[70354] 0 0 0 0 0 8 0 2 23
[70363] 46 15 0 0 41 27 0 55 0
[70372] 21 36 29 6 11 18 12 19 17
[70381] 14 6 9 9 22 7 12 7 11
[70390] 0 9 1 9 6 9 11 7 8
[70399] 6 8 6 33 10 14 5 5 13
[70408] 5 4 3 2 13 3 11 10 8
[70417] 5 4 6 2 5 8 2 0 3
[70426] 1 8 3 4 11 5 18 2 14
[70435] 8 5 5 2 2 1 2 4 2
[70444] 11 0 0 1 1 0 0 0 1
[70453] 0 1 0 1 3 6 17 6 3
[70462] 17 5 12 5 5 3 4 7 4
[70471] 5 3 1 4 5 9 3 8 1
[70480] 1 2 8 12 17 11 7 10 10
[70489] 32 21 24 25 8 18 10 16 19
[70498] 6 22 13 8 5 9 9 9 7
[70507] 10 18 11 21 8 16 12 13 6
[70516] 17 28 8 13 10 5 6 6 3
[70525] 7 8 5 14 15 10 16 15 10
[70534] 17 16 10 14 19 29 18 14 7
[70543] 28 4 15 29 20 14 14 13 10
[70552] 7 12 13 8 31 10 2 23 13
[70561] 15 36 25 23 10 22 29 20 25
[70570] 17 26 19 24 51 29 33 51 30
[70579] 29 63 40 38 58 48 44 21 44
[70588] 65 63 38 42 25 16 31 49 64
[70597] 61 0 0 0 0 0 0 0 0
[70606] 0 0 0 0 0 0 0 0 0
[70615] 0 0 0 0 0 0 0 0 0
[70624] 0 0 0 0 0 0 0 0 0
[70633] 0 0 0 0 0 0 0 0 0
[70642] 0 0 0 0 0 0 0 0 0
[70651] 0 0 0 0 0 0 0 0 0
[70660] 0 0 0 0 0 0 0 0 0
[70669] 0 0 4 0 0 0 17 20 0
[70678] 5 4 6 9 23 16 40 5 18
[70687] 6 17 31 20 57 92 82 62 21
[70696] 69 0 172 100 158 160 135 31 70
[70705] 45 70 92 0 59 62 58 29 22
[70714] 37 31 76 15 48 33 33 29 28
[70723] 49 48 22 51 24 98 89 22 32
[70732] 39 50 21 40 78 70 56 72 54
[70741] 48 81 72 63 67 50 41 108 56
[70750] 0 156 91 57 159 171 96 99 148
[70759] 124 82 93 109 190 268 136 158 170
[70768] 191 142 142 255 235 238 262 235 306
[70777] 267 329 277 295 301 329 314 316 379
[70786] 421 464 483 500 487 679 421 494 562
[70795] 547 533 537 624 581 360 455 667 573
[70804] 594 686 663 703 686 746 736 788 722
[70813] 764 755 740 650 738 623 725 670 622
[70822] 724 690 693 569 587 660 606 459 406
[70831] 467 367 441 284 405 418 340 350 348
[70840] 343 376 170 363 266 307 299 332 450
[70849] 603 767 571 544 578 572 584 609 609
[70858] 640 601 554 702 560 616 514 281 491
[70867] 640 475 451 800 457 0 645 438 338
[70876] 382 326 328 329 332 311 329 325 316
[70885] 309 325 315 306 307 273 325 298 290
[70894] 277 280 285 272 276 229 259 254 199
[70903] 247 197 234 207 84 370 0 0 0
[70912] 0 0 0 0 0 0 0 0 0
[70921] 0 0 0 0 0 0 0 0 0
[70930] 0 0 0 0 0 0 0 0 0
[70939] 0 0 0 0 0 0 0 0 0
[70948] 0 0 0 0 0 0 0 0 0
[70957] 0 0 0 0 0 0 0 0 0
[70966] 0 0 0 0 0 0 0 0 0
[70975] 0 0 0 0 0 0 0 0 0
[70984] 0 0 0 0 0 0 0 0 0
[70993] 0 0 0 0 0 0 0 0 0
[71002] 0 0 0 0 0 0 0 0 0
[71011] 0 0 0 0 0 0 0 0 0
[71020] 0 0 0 0 0 0 0 0 0
[71029] 0 0 0 0 0 0 0 0 0
[71038] 0 0 0 0 0 0 0 0 0
[71047] 0 0 0 0 0 0 0 0 0
[71056] 0 0 0 0 0 0 0 0 0
[71065] 0 0 0 0 0 0 0 0 0
[71074] 0 0 0 0 0 0 0 0 0
[71083] 0 0 0 0 0 0 0 0 0
[71092] 0 0 0 0 0 0 0 0 0
[71101] 0 0 0 0 0 0 0 0 0
[71110] 0 0 0 0 0 0 0 0 0
[71119] 0 0 0 0 0 0 0 0 0
[71128] 0 0 0 0 0 0 0 0 0
[71137] 0 0 0 0 0 0 0 0 0
[71146] 0 0 0 0 0 0 0 0 0
[71155] 0 0 0 0 0 0 0 0 0
[71164] 0 0 0 0 0 0 0 0 0
[71173] 0 0 0 0 0 0 0 0 0
[71182] 0 0 0 0 0 0 0 0 0
[71191] 0 0 0 0 0 0 0 0 0
[71200] 0 0 0 0 0 0 0 0 0
[71209] 0 0 0 0 0 0 0 0 0
[71218] 0 0 0 0 0 0 0 0 0
[71227] 0 0 0 0 0 0 0 0 0
[71236] 0 0 0 0 0 0 0 0 0
[71245] 0 0 0 0 0 0 0 0 0
[71254] 0 0 0 0 0 0 0 0 0
[71263] 0 0 0 0 0 0 0 0 0
[71272] 0 0 0 0 0 0 0 0 0
[71281] 0 0 0 0 0 0 0 0 0
[71290] 0 6 15 0 16 3 0 0 0
[71299] 0 30 7 0 14 0 15 7 0
[71308] 16 0 14 1 0 0 0 15 6
[71317] 1 0 5 0 0 10 0 12 4
[71326] 7 0 24 28 29 3 10 20 0
[71335] 5 2 4 0 2 2 12 0 12
[71344] 4 6 12 2 7 14 12 8 18
[71353] 0 15 49 37 77 0 206 0 58
[71362] 62 66 111 56 34 34 82 43 89
[71371] 51 152 157 133 135 58 171 61 96
[71380] 159 106 76 65 25 74 84 88 236
[71389] 98 107 199 128 130 138 179 198 216
[71398] 351 167 233 302 230 211 264 213 419
[71407] 242 282 317 362 431 375 287 242 303
[71416] 418 426 337 292 408 443 440 390 449
[71425] 650 666 534 525 583 588 700 715 869
[71434] 763 548 684 861 981 886 795 844 995
[71443] 1138 1150 1281 1012 1226 1148 1047 895 1171
[71452] 699 621 769 607 774 820 807 933 981
[71461] 1067 922 860 1028 1127 994 1096 1192 1124
[71470] 1061 1213 1188 1072 840 967 1939 0 1086
[71479] 761 868 890 775 707 787 1010 986 967
[71488] 867 667 751 837 835 759 907 791 826
[71497] 788 683 679 608 615 677 757 684 619
[71506] 635 614 464 289 531 347 525 483 391
[71515] 381 0 726 423 482 353 476 404 309
[71524] 424 312 380 395 380 441 384 0 0
[71533] 0 0 0 0 0 0 0 0 0
[71542] 0 0 0 0 0 0 0 0 0
[71551] 0 6 0 0 0 0 0 3 0
[71560] 1 1 1 2 0 2 0 1 1
[71569] 0 1 0 1 0 0 0 0 0
[71578] 0 0 0 0 0 0 0 0 0
[71587] 0 0 0 0 0 0 0 1 3
[71596] 10 1 0 4 4 0 9 5 4
[71605] 4 5 15 6 3 0 24 5 11
[71614] 14 5 16 10 15 9 9 4 17
[71623] 6 1 1 4 6 0 4 2 1
[71632] 4 3 2 0 1 0 0 0 0
[71641] 0 0 0 2 0 0 0 0 0
[71650] 0 0 0 1 0 0 17 0 0
[71659] 0 0 0 0 0 0 30 0 2
[71668] 4 0 0 0 0 1 0 1 1
[71677] 0 0 0 1 0 0 0 0 0
[71686] 1 0 0 3 0 0 0 0 2
[71695] 0 0 1 0 7 7 0 0 0
[71704] 0 3 0 1 2 0 0 0 0
[71713] 0 0 0 0 14 0 0 0 1
[71722] 0 2 0 1 8 0 1 0 1
[71731] 1 17 7 4 3 3 2 11 15
[71740] 13 50 49 32 31 31 20 45 33
[71749] 39 23 29 6 19 17 28 19 21
[71758] 13 19 6 4 14 2 5 2 6
[71767] 7 5 2 2 2 0 4 0 2
[71776] 0 3 0 0 0 5 5 0 1
[71785] 0 3 0 0 0 3 2 0 0
[71794] 0 0 1 0 0 0 5 3 17
[71803] 1 0 1 0 0 1 1 1 1
[71812] 5 2 2 1 3 9 2 0 2
[71821] 8 6 1 4 3 0 12 8 1
[71830] 3 1 4 0 3 0 12 11 4
[71839] 3 3 0 0 0 0 0 0 0
[71848] 0 0 0 0 0 0 0 0 0
[71857] 0 0 0 0 0 0 0 0 0
[71866] 0 0 0 0 0 0 0 0 0
[71875] 0 0 0 0 0 0 0 0 0
[71884] 0 0 0 0 0 0 0 0 0
[71893] 0 0 0 0 0 0 0 0 0
[71902] 0 0 0 0 0 0 0 0 0
[71911] 0 0 0 0 0 0 0 0 0
[71920] 0 0 0 0 0 0 0 0 0
[71929] 0 0 0 0 0 0 0 0 0
[71938] 0 0 0 0 0 0 0 0 0
[71947] 0 0 0 0 0 0 0 0 0
[71956] 0 0 0 0 0 0 0 0 0
[71965] 0 0 0 0 0 0 0 0 0
[71974] 0 0 0 0 0 0 0 0 0
[71983] 0 0 0 0 0 0 0 0 0
[71992] 0 0 0 0 0 0 0 0 0
[72001] 0 0 0 0 0 0 0 0 0
[72010] 0 0 0 0 0 0 0 0 0
[72019] 0 0 0 0 0 0 0 0 0
[72028] 0 0 0 0 0 0 0 0 0
[72037] 0 0 0 0 0 0 0 0 0
[72046] 0 0 0 0 0 0 0 0 0
[72055] 0 0 0 0 0 0 0 0 0
[72064] 0 0 0 0 0 0 0 0 0
[72073] 0 0 0 0 0 0 0 0 0
[72082] 0 0 0 0 0 0 0 0 0
[72091] 0 0 0 0 0 0 0 0 0
[72100] 0 0 0 0 0 0 0 0 0
[72109] 0 0 0 0 0 0 0 0 0
[72118] 0 0 0 0 0 0 0 0 0
[72127] 0 0 0 0 0 1 0 0 0
[72136] 0 0 0 0 0 0 0 0 0
[72145] 0 0 0 0 0 0 0 0 0
[72154] 0 0 0 0 0 0 0 0 0
[72163] 0 0 0 0 0 0 0 0 0
[72172] 0 0 0 0 0 0 0 0 0
[72181] 0 0 0 0 0 0 0 0 0
[72190] 0 0 0 0 0 0 0 0 0
[72199] 0 0 0 0 0 0 0 0 0
[72208] 0 0 0 0 0 0 0 0 0
[72217] 0 0 0 0 0 0 0 0 0
[72226] 0 0 0 0 0 0 0 0 0
[72235] 0 0 0 0 0 0 0 0 0
[72244] 0 0 0 0 0 0 0 1 0
[72253] 0 0 0 0 0 0 0 0 0
[72262] 0 0 0 0 0 0 0 0 5
[72271] 0 0 1 3 0 11 5 0 9
[72280] 1 0 17 14 5 15 21 16 2
[72289] 6 2 37 13 9 12 7 10 11
[72298] 16 7 22 5 27 13 31 45 20
[72307] 34 16 13 2 12 28 36 31 41
[72316] 73 23 116 41 17 7 10 3 19
[72325] 26 25 23 61 13 14 15 10 30
[72334] 32 31 19 8 17 19 13 21 38
[72343] 24 9 80 33 18 10 26 24 5
[72352] 25 13 10 11 14 20 0 7 10
[72361] 12 8 15 2 2 4 0 26 3
[72370] 5 28 1 7 22 5 10 6 11
[72379] 0 11 13 7 3 7 7 1 4
[72388] 5 8 6 3 10 3 7 5 4
[72397] 14 3 4 0 4 2 5 5 4
[72406] 4 2 2 2 3 3 3 2 2
[72415] 0 2 0 1 0 0 1 0 1
[72424] 0 3 5 1 1 0 0 6 2
[72433] 1 1 0 1 0 1 0 0 2
[72442] 0 1 0 1 0 0 3 0 0
[72451] 0 0 1 1 0 1 0 0 2
[72460] 0 1 0 0 0 0 0 0 0
[72469] 0 0 0 0 0 0 0 0 0
[72478] 0 0 0 0 0 0 0 0 0
[72487] 0 0 0 0 0 0 0 0 0
[72496] 0 0 0 0 0 0 0 0 0
[72505] 0 0 0 0 0 0 0 0 0
[72514] 0 0 0 0 0 0 0 0 0
[72523] 0 0 0 0 0 0 0 0 0
[72532] 0 0 0 0 0 0 0 6 0
[72541] 0 0 0 -3 0 0 0 10 0
[72550] 3 19 0 0 1 3 0 0 0
[72559] 0 0 0 0 1 0 3 2 0
[72568] 3 0 4 5 4 4 5 4 2
[72577] 8 0 4 1 6 2 9 3 10
[72586] 5 13 0 2 14 14 85 15 0
[72595] 174 5 208 14 11 74 8 11 60
[72604] 34 54 0 0 0 0 137 0 0
[72613] 0 0 32 0 0 22 0 43 0
[72622] 46 0 52 0 69 36 1 24 23
[72631] 7 4 14 0 0 0 47 12 8
[72640] 34 0 0 37 26 38 0 0 0
[72649] 0 0 263 0 0 0 0 0 388
[72658] 0 0 0 527 170 0 346 0 257
[72667] 0 270 475 153 71 450 247 306 408
[72676] 265 119 233 0 442 142 0 739 182
[72685] 125 65 226 162 358 165 157 493 145
[72694] 237 154 255 0 455 66 0 228 225
[72703] 178 123 123 72 284 34 108 116 70
[72712] 67 60 116 160 102 109 143 73 181
[72721] 99 68 41 96 0 107 44 214 54
[72730] 48 24 97 29 19 55 44 43 28
[72739] 0 222 37 81 54 77 38 76 43
[72748] 91 0 67 43 0 130 64 44 85
[72757] 18 35 60 22 0 83 0 0 125
[72766] 90 17 48 63 118 37 72 49 89
[72775] 0 0 0 0 0 0 0 0 0
[72784] 0 0 0 0 0 0 0 0 0
[72793] 0 0 0 0 0 0 0 0 0
[72802] 0 0 0 0 0 0 0 0 0
[72811] 0 0 0 0 0 0 0 0 0
[72820] 0 0 0 0 0 0 0 0 0
[72829] 0 0 0 0 0 0 0 0 0
[72838] 0 0 0 0 0 0 0 0 0
[72847] 0 0 0 0 0 1 1 0 0
[72856] 0 0 0 3 0 0 0 3 0
[72865] 0 1 0 0 0 0 2 0 0
[72874] 0 2 1 3 1 5 0 1 1
[72883] 0 0 3 0 0 1 2 0 0
[72892] 1 0 0 2 0 0 0 0 0
[72901] 0 0 1 1 0 1 0 0 5
[72910] 2 0 2 0 2 3 0 5 0
[72919] 0 0 76 0 17 25 4 0 28
[72928] 16 0 43 14 0 8 27 6 12
[72937] 11 13 27 4 4 10 62 16 0
[72946] 10 23 13 5 21 10 6 0 7
[72955] 17 14 12 8 73 18 18 53 98
[72964] 41 16 40 3 49 30 25 273 58
[72973] 58 133 102 107 214 90 172 138 78
[72982] 192 113 62 213 77 490 262 154 146
[72991] 118 56 56 124 74 99 70 75 97
[73000] 82 104 85 47 70 265 102 70 78
[73009] 37 140 126 55 41 96 18 6 85
[73018] 62 79 40 159 0 0 279 272 41
[73027] 24 26 29 18 5 45 22 35 14
[73036] 25 11 0 28 14 0 62 16 9
[73045] 4 21 1 12 8 0 30 10 17
[73054] 4 32 43 0 17 10 15 19 20
[73063] 24 11 37 12 28 28 27 15 12
[73072] 7 27 12 5 1 41 5 7 15
[73081] 21 17 16 28 0Counting
When a value is repeated, we want to count how many of each
Afghanistan
311
Albania
311
Algeria
311
American Samoa
311
Andorra
311
Angola
311
Anguilla
311
Antigua and Barbuda
311
Argentina
311
Armenia
311
Aruba
311
Australia
311
Austria
311
Azerbaijan
311
Bahamas
311
Bahrain
311
Bangladesh
311
Barbados
311
Belarus
311
Belgium
311
Belize
311
Benin
311
Bermuda
311
Bhutan
311
Bolivia (Plurinational State of)
311
Bonaire, Sint Eustatius and Saba
311
Bosnia and Herzegovina
311
Botswana
311
Brazil
311
British Virgin Islands
311
Brunei Darussalam
311
Bulgaria
311
Burkina Faso
311
Burundi
311
Cabo Verde
311
Cambodia
311
Cameroon
311
Canada
311
Cayman Islands
311
Central African Republic
311
Chad
311
Chile
311
China
311
Colombia
311
Comoros
311
Congo
311
Cook Islands
311
Costa Rica
311
Côte d’Ivoire
311
Croatia
311
Cuba
311
Curaçao
311
Cyprus
311
Czechia
311
Democratic People's Republic of Korea
311
Democratic Republic of the Congo
311
Denmark
311
Djibouti
311
Dominica
311
Dominican Republic
311
Ecuador
311
Egypt
311
El Salvador
311
Equatorial Guinea
311
Eritrea
311
Estonia
311
Eswatini
311
Ethiopia
311
Falkland Islands (Malvinas)
311
Faroe Islands
311
Fiji
311
Finland
311
France
311
French Guiana
311
French Polynesia
311
Gabon
311
Gambia
311
Georgia
311
Germany
311
Ghana
311
Gibraltar
311
Greece
311
Greenland
311
Grenada
311
Guadeloupe
311
Guam
311
Guatemala
311
Guernsey
311
Guinea
311
Guinea-Bissau
311
Guyana
311
Haiti
311
Holy See
311
Honduras
311
Hungary
311
Iceland
311
India
311
Indonesia
311
Iran (Islamic Republic of)
311
Iraq
311
Ireland
311
Isle of Man
311
Israel
311
Italy
311
Jamaica
311
Japan
311
Jersey
311
Jordan
311
Kazakhstan
311
Kenya
311
Kiribati
311
Kosovo[1]
311
Kuwait
311
Kyrgyzstan
311
Lao People's Democratic Republic
311
Latvia
311
Lebanon
311
Lesotho
311
Liberia
311
Libya
311
Liechtenstein
311
Lithuania
311
Luxembourg
311
Madagascar
311
Malawi
311
Malaysia
311
Maldives
311
Mali
311
Malta
311
Marshall Islands
311
Martinique
311
Mauritania
311
Mauritius
311
Mayotte
311
Mexico
311
Micronesia (Federated States of)
311
Monaco
311
Mongolia
311
Montenegro
311
Montserrat
311
Morocco
311
Mozambique
311
Myanmar
311
Namibia
311
Nauru
311
Nepal
311
Netherlands
311
New Caledonia
311
New Zealand
311
Nicaragua
311
Niger
311
Nigeria
311
Niue
311
North Macedonia
311
Northern Mariana Islands (Commonwealth of the)
311
Norway
311
occupied Palestinian territory, including east Jerusalem
311
Oman
311
Other
311
Pakistan
311
Palau
311
Panama
311
Papua New Guinea
311
Paraguay
311
Peru
311
Philippines
311
Pitcairn Islands
311
Poland
311
Portugal
311
Puerto Rico
311
Qatar
311
Republic of Korea
311
Republic of Moldova
311
Réunion
311
Romania
311
Russian Federation
311
Rwanda
311
Saint Barthélemy
311
Saint Helena
311
Saint Kitts and Nevis
311
Saint Lucia
311
Saint Martin
311
Saint Pierre and Miquelon
311
Saint Vincent and the Grenadines
311
Samoa
311
San Marino
311
Sao Tome and Principe
311
Saudi Arabia
311
Senegal
311
Serbia
311
Seychelles
311
Sierra Leone
311
Singapore
311
Sint Maarten
311
Slovakia
311
Slovenia
311
Solomon Islands
311
Somalia
311
South Africa
311
South Sudan
311
Spain
311
Sri Lanka
311
Sudan
311
Suriname
311
Sweden
311
Switzerland
311
Syrian Arab Republic
311
Tajikistan
311
Thailand
311
The United Kingdom
311
Timor-Leste
311
Togo
311
Tokelau
311
Tonga
311
Trinidad and Tobago
311
Tunisia
311
Turkey
311
Turkmenistan
311
Turks and Caicos Islands
311
Tuvalu
311
Uganda
311
Ukraine
311
United Arab Emirates
311
United Republic of Tanzania
311
United States of America
311
United States Virgin Islands
311
Uruguay
311
Uzbekistan
311
Vanuatu
311
Venezuela (Bolivarian Republic of)
311
Viet Nam
311
Wallis and Futuna
311
Yemen
311
Zambia
311
Zimbabwe
311 table() should be called count. This is useful
Exercises
How do we get
NewCasesfor Turkey?- Make a new vector called
CasesTurkey
- Make a new vector called
What is the length of
CasesTurkeyWhat is the total number of cases
Asking for help
We cannot teach all commands in the class
There are thousands
and new commands are created every day
But we can teach you how to learn in your own
Give a man a fish, and you feed him for a day.
Teach a man to fish, and you feed him for a lifetime
Asking for help()
You have several tools at your hand
Google
Use R Cheatsheets
Use R help
help(), or press F1, or use the “help” window- Learn how to read help page
Exercises
Draw a plot of
CasesTurkeyWhat is the smallest number of cases
What is the largest number of cases
What is the smallest positive number of cases
When was the day with largest number of cases
Combining R and Rmarkdown
Summary of Markdown
Text files, edited with a good text editor
Empty lines between paragraphs
Sections marked with
#and spaceLists start with
+,-or*and spaceComputer code has three back-ticks before and after
Mixing R and Markdown
Follow the three back-ticks with {r}
```{r}
2 + 3 * 4
```Then the code is executed and the result is inserted in the document
[1] 14This is the key idea
Mixing code and text help us to write documents that adapt to the data
Learn more at https://rmarkdown.rstudio.com/lesson-1.html
Exercise: Write in RMarkdown
Draw a plot of
CasesTurkeyWhat is the smallest number of cases
What is the largest number of cases
What is the smallest positive number of cases
When was the day with largest number of cases