ALLESLEVA - 20250403

Aug 26, 2026

ALLESLEVA_20250403_CZ contains a large tabular dataset where each row is structured as a record with an identifier, followed by numeric attributes and additional categorical flags. The repeated patterns suggest classification fields with stable codes across many entries, while one or more numeric columns vary significantly, indicating measurable properties such as weight, price, or score. Many identifiers appear to be long numeric strings, consistent with product or item references.

LanguageEnglish

CategoryResearch & Report

FormatXLSX

Pages1

Reading Time3 min

AccessFree to download

Records and identifiers

Numeric attributes

Categorical codes

0 1 2 3 4 5 6 7 8 9 10 11 12 8592920070017 1848.4 0.1 5 2 9 10 13 14 8592920113523 533.8 0.1 5 2 9 10 15 16 5900779951259 63 0.1 5 10 9 10 17 18 8592920090329 5972.2 0.09 5 1 9 10 19 20 8592920091920 2297.1 0.09 5 1 9 10 21 22 4015081741472 1198.4 0.09 5 2 9 10 23 24 8590913878015 1126.2 0.09 5 2 9 10 25 26 8594012226197 803 0.09 5 2 9 10 27 28 6974699971276 353.7 0.09 5 4 9 10 29 30 8594012220058 267.3 0.09 5 4 9 10 31 32 8590669343409 133.7 0.09 5 10 9 10 33 34 3606480439698 71.7 0.09 5 10 9 10 35 36 8711595025959 57.3 0.09 5 10 9 10 37 38 8592920056929 4000.5 0.08 5 1 9 10 39 40 5904473751238 3535.6 0.08 5 1 9 10 41 42 8595689100124 1057.3 0.08 5 2 9 10 43 44 8592229422678 598.7 0.08 5 2 9 10 45 46 99412942954 536.2 0.08 5 2 9 10 47 48 8592920134870 403.4 0.08 5 4 9 10 49 50 8590913825392 287.6 0.08 5 4 9 10 51 52 8595025302113 104.8 0.08 5 10 9 10 53 54 5906083922930 85.4 0.08 5 10 9 10 55 56 3253921301436 51.9 0.08 5 10 9 10 57 58 3838942122224 6008.7 0.07 5 1 9 10 59 60 8592718026332 2102.5 0.07 5 1 9 10 61 62 7331673474151 1585 0.07 5 2 9 10 63 64 8592920064016 1348 0.07 5 2 9 10 65 66 4058432561732 404 0.07 5 4 9 10 67 68 8594045937565 325.6 0.07 5 4 9 10 69 70 8718444085973 277.8 0.07 5 4 9 10 71 72 8595146620011 269.7 0.07 5 4 9 10 73 74 3606480730009 169 0.07 5 10 9 10 75 76 8590913880506 6411.9 0.06 5 1 9 10 77 78 4020684483698 2278.1 0.06 5 1 9 10 79 80 3838997492662 2037.9 0.06 5 1 9 10 81 82 8590419435019 1102.8 0.06 5 2 9 10 83 84 4015671323682 1024.1 0.06 5 2 9 10 85 86 8590419760531 1018.2 0.06 5 2 9 10 87 88 4051315534700 409.8 0.06 5 4 9 10 89 90 8595025382757 149.5 0.06 5 10 9 10 91 92 8590229002302 125.1 0.06 5 10 9 10 93 94 8711595026048 122.1 0.06 5 10 9 10 95 96 8595092108328 99.7 0.06 5 10 9 10 97 98 8593534810440 96 0.06 5 10 9 10 99 100 9002560799258 2327.3 0.05 5 1 9 10 101 102 3660849507312 1255.8 0.05 5 2 9 10 103 104 8590718400299 1222.7 0.05 5 2 9 10 105 106 8595126939973 942.7 0.05 5 2 9 10 107 108 5400338052415 778 0.05 5 2 9 10 109 110 8592218024890 495.8 0.05 5 4 9 10 111 112 8592920011027 456.4 0.05 5 4 9 10 113 114 8590669343324 281.5 0.05 5 4 9 10 115 116 8592718022556 264.1 0.05 5 4 9 10 117 118 5906083922961 224.7 0.05 5 10 9 10 119 120 8590419003300 184.2 0.05 5 10 9 10 121 122 5902802920515 176.9 0.05 5 10 9 10 123 124 5905197155753 141.8 0.05 5 10 9 10 125 126 5906083223600 137.1 0.05 5 10 9 10 127 128 4042448217349 132.4 0.05 5 10 9 10 129 130 8595017245626 124.4 0.05 5 10 9 10 131 132 8592218032031 116 0.05 5 10 9 10 133 134 8590229003583 104.3 0.05 5 10 9 10 135 136 5902802920508 91.6 0.05 5 10 9 10 137 138 5906083919749 72.9 0.05 5 10 9 10 139 140 3606480525087 64.2 0.05 5 10 9 10 141 142 8718475518464 6605.9 0.04 5 1 9 10 143 144 6977011742844 5924.1 0.04 5 1 9 10 145 146 6911342271819 5892.8 0.04 5 1 9 10 147 148 8595683202442 4621.4 0.04 5 1 9 10 149 150 8719883665832 3798.8 0.04 5 1 9 10 151 152 8594012220775 3338.4 0.04 5 1 9 10 153 154 8720286802885 3082.4 0.04 5 1 9 10 155 156 8720286042038 3026.6 0.04 5 1 9 10 157 158 8719883860145 2543.1 0.04 5 1 9 10 159 160 8718475876762 2116.3 0.04 5 1 9 10 161 162 6955218787387 1697.6 0.04 5 2 9 10 163 164 8720845897314 1629.9 0.04 5 2 9 10 165 166 8718475567578 1529.1 0.04 5 2 9 10 167 168 703123016315 1457.9 0.04 5 2 9 10 169 170 8720286668047 1399.8 0.04 5 2 9 10 171 172 8718475979012 1253.5 0.04 5 2 9 10 173 174 8718475519591 1243.1 0.04 5 2 9 10 175 176 8718475979050 1212.1 0.04 5 2 9 10 163 177 8720845897239 1207.8 0.04 5 2 9 10 178 179 8595126939966 1162 0.04 5 2 9 10 180 181 8720286667989 1160.9 0.04 5 2 9 10 182 183 8719883596211 631.3 0.04 5 2 9 10 184 185 4897098680445 312.1 0.04 5 4 9 10 186 187 4042448217462 282.4 0.04 5 4 9 10 188 189 4042448843524 270.4 0.04 5 4 9 10 190 191 8592218028164 253 0.04 5 4 9 10 192 193 8411519750317 243 0.04 5 10 9 10 194 195 8595025302144 204.5 0.04 5 10 9 10 196 197 5907798316946 175.8 0.04 5 10 9 10 198 199 8590419003249 136 0.04 5 10 9 10 200 201 8592718024369 136 0.04 5 10 9 10 202 20

FAQs

What information does the file’s table primarily store?

The table stores many records, each starting with a long numeric identifier followed by several numeric attributes and repeated categorical code fields.

Are the categorical code fields consistent across the dataset?

Yes. The same code patterns (e.g., repeated small integers) appear across many rows, indicating standardized categories or flags.

How do the numeric attributes behave across entries?

Numeric attributes vary widely between rows, suggesting they represent measurements or calculated values tied to each identifier.

Aug 26, 2026

Uploaded by Lucas Martin

Open in WPS to view all 1 pages