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Statistics with SAS, required coding

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i have a statistics assigment with SAS where i need coding skills to get out tables and diagrams. We got an excel file that needs to be imported to sas to be able to answer the questions in the document.
Additional Instructions:
Sub-task 1.1. a) Describe each variable separately both numerically and graphically. Select appropriate representations that confirm that we understand whether variables are numeric or categorical. Then we return to four numerical representations and four diagrams to interpret briefly. b) Also analyze graphically and numerically the respective variable in each column conditioned on the variable "Weekend" or "Sunny day". One of them is enough. Also briefly interpret what we can then read from these three table and three chart combinations (it depends on the type of chart and code we use). Sub-task 2.1.a. Estimate the proportion of respondents who use bicycles on the weekend. Sub-task 2.1.b. Also calculate the proportion (tip: not the percentage!) Of people who use a bicycle on the weekend and on sunny days.
Blad1 Weekend Sunny day Own bike Rental bike 1 1 23 301 1 0 12 525 1 0 5 121 1 0 7 212 1 0 22 333 1 0 107 888 1 0 288 21 1 0 368 33 1 0 243 32 1 0 120 41 1 1 119 52 1 1 149 40 1 1 158 49 1 1 108 44 1 1 128 42 1 1 273 62 1 1 507 65 1 0 469 67 1 0 358 67 1 0 254 72 1 1 191 38 1 1 97 12 1 1 53 11 1 1 18 15 1 1 19 825 1 1 96 326 1 1 88 532 1 1 21 810 1 1 110 12 1 1 288 23 1 1 396 27 1 1 205 14 1 1 104 31 1 1 108 37 1 0 144 44 1 0 113 34 1 0 113 32 1 0 114 32 1 0 224 34 1 0 462 67 1 0 447 66 0 0 280 62 0 1 230 52 0 1 216 31 0 0 123 25 0 0 91 14 0 1 44 5 0 1 26 5 0 0 4 1 0 1 22 2 0 1 92 8 0 0 301 26 0 0 412 20 0 0 194 33 0 0 88 39 0 0 108 28 0 0 130 30 0 0 149 37 0 0 103 46 0 0 127 62 0 0 217 58 0 0 495 74 0 1 483 57 0 1 344 56 0 1 277 75 0 1 188 46 0 0 139 23 0 1 90 15 0 1 53 10 0 1 20 8 0 1 10 4 0 1 4 1 0 1 8 1 0 1 18 2 0 1 87 4 0 0 247 21 0 1 439 27 0 1 203 28 0 1 102 43 0 1 147 56 0 1 150 51 0 1 178 43 0 1 162 67 0 1 147 69 0 1 247 80 0 1 472 85 0 1 365 87 0 1 293 92 0 1 222 66 0 1 183 50 0 1 126 41 0 1 139 33 0 1 97 19 0 1 75 20 0 0 51 8 0 1 21 18 0 1 4 65 0 1 8 66 0 1 17 12 0 1 35 7 0 1 85 27 0 1 139 47 0 1 203 99 0 1 209 122 0 1 252 140 0 1 231 140 0 1 232 151 0 1 235 157 0 1 235 175 0 1 247 152 0 1 199 108 0 1 254 121 0 1 195 74 0 1 140 62 0 1 126 61 0 0 130 49 0 1 85 30 0 1 73 17 0 1 70 24 0 1 22 12 0 1 8 96 0 1 9 38 0 1 13 74 0 1 27 24 0 1 78 29 0 1 131 75 0 1 196 136 0 1 219 127 0 1 268 175 0 1 245 197 0 1 246 197 0 1 229 174 0 1 278 177 0 0 243 178 0 0 265 117 0 0 228 89 0 0 158 55 0 0 135 48 0 1 95 19 0 1 64 14 0 0 25 95 0 0 11 44 0 0 65 33 0 0 98 12 0 0 21 41 0 0 90 54 0 0 247 14 0 1 418 29 0 0 150 37 0 0 95 55 0 0 95 55 0 0 130 40 0 0 127 37 0 0 100 58 0 0 126 76 0 1 222 53 0 1 514 90 0 1 512 79 0 1 340 56 0 1 251 54 0 1 190 52 0 1 112 33 0 1 65 16 0 0 25 65 0 1 8 86 0 0 9 52 0 1 7 46 0 1 20 52 0 1 117 78 0 1 320 27 0 1 417 39 0 1 208 38 0 1 112 45 0 1 118 49 0 1 161 41 0 1 156 33 0 1 117 43 0 1 127 39 0 1 220 41 0 0 509 70 0 0 436 68 0 0 255 44 0 1 246 50 0 1 164 31 0 1 104 30 0 1 58 23 0 0 25 11 0 1 18 10 0 1 9 77 0 0 3 25 0 1 19 36 0 1 104 120 0 1 318 180 0 1 499 410 0 1 189 320 0 1 95 310 0 1 117 530 0 1 188 55 0 1 186 45 0 1 138 50 0 1 146 43 0 1 268 60 0 1 492 78 0 1 510 78 0 1 341 60 0 1 264 69 0 1 195 26 0 1 151 32 0 1 97 32 0 1 39 15 0 1 19 13 0 1 62 56 0 1 77 32 0 1 45 82 0 1 24 51 0 1 119 4 0 1 291 29 0 1 511 44 0 1 227 33 0 1 97 35 0 1 122 47 0 1 183 50 0 1 162 70 0 1 117 46 0 1 176 64 0 1 260 63 0 1 496 98 0 1 472 114 0 1 366 89 0 1 285 55 0 1 242 81 0 1 164 43 0 1 99 274 0 1 48 250 0 1 16 15 0 1 78 652 0 1 65 500 0 1 55 100
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