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No. int64 1 100k | House Sq. Feet int64 100 100k | House Rent ($) int64 901 1.1M |
|---|---|---|
1 | 74,730 | 741,860 |
2 | 78,115 | 842,682 |
3 | 99,554 | 1,035,913 |
4 | 14,815 | 159,222 |
5 | 17,429 | 167,460 |
6 | 63,253 | 597,768 |
7 | 2,714 | 27,288 |
8 | 18,978 | 206,424 |
9 | 12,175 | 131,415 |
10 | 23,509 | 252,094 |
11 | 15,693 | 144,675 |
12 | 70,101 | 732,143 |
13 | 24,934 | 271,835 |
14 | 31,593 | 287,429 |
15 | 29,244 | 289,392 |
16 | 83,734 | 854,083 |
17 | 22,371 | 207,234 |
18 | 91,284 | 943,763 |
19 | 45,435 | 413,860 |
20 | 81,117 | 831,725 |
21 | 77,223 | 787,849 |
22 | 59,318 | 648,243 |
23 | 69,588 | 729,756 |
24 | 19,016 | 176,790 |
25 | 57,116 | 538,418 |
26 | 3,862 | 37,405 |
27 | 16,689 | 181,622 |
28 | 14,557 | 142,744 |
29 | 22,862 | 213,967 |
30 | 53,067 | 575,396 |
31 | 360 | 3,675 |
32 | 62,059 | 636,988 |
33 | 8,113 | 77,747 |
34 | 97,569 | 918,566 |
35 | 81,806 | 808,189 |
36 | 97,361 | 974,049 |
37 | 55,912 | 590,342 |
38 | 18,535 | 168,788 |
39 | 61,765 | 667,740 |
40 | 37,879 | 387,460 |
41 | 44,105 | 470,290 |
42 | 64,832 | 694,552 |
43 | 60,722 | 579,870 |
44 | 76,558 | 728,003 |
45 | 21,089 | 209,649 |
46 | 14,639 | 135,276 |
47 | 83,304 | 890,667 |
48 | 78,843 | 749,134 |
49 | 63,188 | 592,286 |
50 | 91,166 | 902,404 |
51 | 62,051 | 649,174 |
52 | 92,158 | 870,620 |
53 | 6,650 | 64,825 |
54 | 36,030 | 376,920 |
55 | 18,022 | 168,007 |
56 | 91,014 | 840,162 |
57 | 37,212 | 345,504 |
58 | 29,329 | 296,018 |
59 | 80,873 | 865,328 |
60 | 96,704 | 1,032,139 |
61 | 40,878 | 448,356 |
62 | 178 | 1,713 |
63 | 89,862 | 910,484 |
64 | 20,247 | 184,129 |
65 | 8,228 | 81,782 |
66 | 95,829 | 1,051,632 |
67 | 72,701 | 741,508 |
68 | 33,069 | 336,549 |
69 | 29,449 | 284,880 |
70 | 98,010 | 994,596 |
71 | 11,696 | 120,106 |
72 | 74,515 | 743,054 |
73 | 28,426 | 307,670 |
74 | 21,341 | 198,157 |
75 | 39,988 | 429,571 |
76 | 56,035 | 548,642 |
77 | 62,531 | 565,336 |
78 | 90,455 | 972,894 |
79 | 50,093 | 474,080 |
80 | 49,173 | 480,850 |
81 | 47,378 | 472,156 |
82 | 52,853 | 575,288 |
83 | 92,165 | 955,459 |
84 | 12,549 | 136,145 |
85 | 68,451 | 694,251 |
86 | 50,854 | 507,363 |
87 | 87,468 | 802,446 |
88 | 37,649 | 353,082 |
89 | 70,572 | 683,248 |
90 | 75,188 | 733,382 |
91 | 39,552 | 428,575 |
92 | 16,843 | 179,054 |
93 | 11,018 | 108,084 |
94 | 51,871 | 533,034 |
95 | 10,987 | 112,772 |
96 | 95,054 | 954,196 |
97 | 64,103 | 623,294 |
98 | 20,524 | 221,979 |
99 | 81,838 | 744,063 |
100 | 47,042 | 498,930 |
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π House Cost by Space
This dataset and accompanying Python script simulate housing rental costs as a function of square footage.
The generated Excel file contains 100,000 rows with three columns:
- No. β Row index (1 to 100,000)
- House Sq. Feet β Randomly generated value between 100 and 100,000 sq ft
- House Rent ($) β Estimated rental cost in USD
π Data Generation Logic
- Minimum size: 100 sq ft β rent β $1,000
- Maximum size: 100,000 sq ft β rent β $1,000,000
- Scaling rule: Rent generally increases as square footage increases.
- Variability: Realistic fluctuations are introduced so that the same house size may have slightly different rents.
- Example: a 100 sq ft unit may rent for $900, $950, $1,000, $1,050, or $1,100, all centered around ~$1,000.
- All values are guaranteed positive.
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