Datasets:

ItzRustam
/

Synthetic_Housing_Price_Dataset

Unnamed: 0 int64	rooms int64	area int64	road_rating float64	water_electricity float64	police int64	education int64	price int64
0	3	516	0.635397	0.113835	1	0	114,036
1	3	516	0.708022	0.708022	0	0	114,552
2	3	516	0.486341	0.087613	1	1	122,292
3	3	516	0.121009	0.121009	1	0	107,844
4	4	616	0.381945	0.381945	0	0	136,752
5	1	316	0.567232	0.340036	1	0	76,472
6	1	316	0.876089	0.876089	0	1	85,952
7	3	516	0.641426	0.521678	1	0	124,872
8	1	316	0.573003	0.573003	1	0	76,472
9	2	416	0.592261	0.493865	0	1	99,008
10	4	616	0.454882	0.376711	1	0	149,072
11	4	616	0.661399	0.43921	1	1	158,928
12	2	416	0.652857	0.331519	1	0	100,672
13	3	516	0.259752	0.259752	1	0	124,872
14	1	316	0.385972	0.070867	1	0	69,836
15	1	316	0.463136	0.058544	1	1	74,892
16	4	616	0.830814	0.830814	0	1	167,552
17	1	316	0.906175	0.906175	1	1	92,272
18	4	616	0.619331	0.30162	1	0	149,072
19	1	316	0.569006	0.569006	1	1	81,528
20	1	316	0.87748	0.87748	1	0	87,216
21	2	416	0.451716	0.451716	1	1	107,328
22	1	316	0.250751	0.250751	1	0	76,472
23	2	416	0.360238	0.272149	0	0	92,352
24	1	316	0.505231	0.164353	1	0	69,836
25	3	516	0.538581	0.538581	1	0	124,872
26	2	416	0.388861	0.09202	1	1	98,592
27	1	316	0.272868	0.069276	1	0	69,836
28	3	516	0.450664	0.157758	1	0	114,036
29	2	416	0.568451	0.568451	1	1	107,328
30	2	416	0.786077	0.786077	1	0	100,672
31	2	416	0.460455	0.130468	1	1	98,592
32	1	316	0.959565	0.959565	1	1	92,272
33	2	416	0.929411	0.929411	1	0	114,816
34	3	516	0.189211	0.189211	1	1	116,100
35	3	516	0.95198	0.95198	1	0	142,416
36	1	316	0.849264	0.849264	1	0	87,216
37	4	616	0.638207	0.371072	1	1	158,928
38	1	316	0.648397	0.224192	1	1	81,528
39	3	516	0.778858	0.778858	1	0	124,872
40	2	416	0.857508	0.857508	1	0	114,816
41	4	616	0.954248	0.954248	1	0	170,016
42	2	416	0.830603	0.830603	1	1	121,472
43	2	416	0.410426	0.410426	1	0	100,672
44	2	416	0.566109	0.153186	1	1	98,592
45	2	416	0.919831	0.919831	1	1	121,472
46	2	416	0.868392	0.868392	1	1	121,472
47	4	616	0.818393	0.818393	1	0	170,016
48	2	416	0.379975	0.160243	1	1	98,592
49	3	516	0.299001	0.299001	1	1	133,128
50	4	616	0.789002	0.789002	1	1	158,928
51	3	516	0.602692	0.418946	1	0	124,872
52	3	516	0.436187	0.436187	1	0	124,872
53	1	316	0.49	0.094237	1	0	69,836
54	4	616	0.626377	0.139067	1	0	136,136
55	1	316	0.398767	0.398767	1	0	76,472
56	3	516	0.657804	0.018719	0	1	111,972
57	1	316	0.990921	0.990921	1	0	87,216
58	1	316	0.623985	0.623985	0	1	75,208
59	1	316	0.53465	0.085209	1	0	69,836
60	4	616	0.502031	0.501277	1	1	158,928
61	2	416	0.286675	0.286675	1	1	107,328
62	4	616	0.6216	0.6216	1	0	149,072
63	2	416	0.461639	0.332475	1	1	107,328
64	2	416	0.384897	0.366646	1	0	100,672
65	1	316	0.495662	0.360076	0	0	70,152
66	1	316	0.859705	0.859705	1	1	92,272
67	1	316	0.706467	0.706467	1	0	76,472
68	4	616	0.296834	0.086535	1	0	136,136
69	2	416	0.146904	0.146904	0	1	85,280
70	2	416	0.763822	0.763822	1	0	100,672
71	3	516	0.683742	0.639997	1	0	124,872
72	2	416	0.683835	0.683835	1	0	100,672
73	3	516	0.248606	0.079012	0	1	111,972
74	1	316	0.64706	0.64706	1	1	81,528
75	2	416	0.572559	0.344609	1	1	107,328
76	1	316	0.39652	0.39652	1	0	76,472
77	1	316	0.809761	0.809761	1	0	87,216
78	2	416	0.651672	0.132338	1	0	91,936
79	1	316	0.371659	0.371659	1	1	81,528
80	2	416	0.340156	0.061988	1	0	91,936
81	2	416	0.39484	0.39484	1	0	100,672
82	1	316	0.921318	0.921318	1	0	87,216
83	1	316	0.746192	0.746192	1	0	76,472
84	3	516	0.435383	0.231698	1	0	124,872
85	1	316	0.468863	0.457144	1	0	76,472
86	3	516	0.161151	0.136087	1	0	107,844
87	1	316	0.214863	0.068018	0	0	63,516
88	3	516	0.920417	0.920417	0	0	132,096
89	3	516	0.254604	0.118045	1	1	122,292
90	4	616	0.399585	0.167899	1	0	136,136
91	4	616	0.627569	0.627569	1	0	149,072
92	1	316	0.57245	0.469834	1	0	76,472
93	3	516	0.528933	0.395265	1	1	133,128
94	2	416	0.474508	0.103336	1	1	98,592
95	1	316	0.392917	0.392917	1	0	76,472
96	1	316	0.897801	0.897801	1	0	87,216
97	2	416	0.885082	0.885082	1	1	121,472
98	3	516	0.500534	0.396313	1	1	133,128
99	1	316	0.766718	0.766718	1	0	76,472

End of preview. Expand in Data Studio

🏠 Synthetic Housing Price Dataset

A synthetic tabular dataset designed for machine learning regression tasks.

The dataset contains 10,000 randomly generated houses with prices computed using a deterministic rule-based pricing model. It is intended for experimentation, benchmarking, and educational purposes.

Note: This dataset is entirely synthetic and does not represent real-world housing market data.

Dataset Summary

Rows: 10,000
Features: 6
Target: price
Task: Regression
License: MIT

Dataset Structure

Feature	Type	Description
`rooms`	Integer	Number of rooms
`area`	Integer	House area in square feet
`road_rating`	Float	Road quality rating (0.0–1.0)
`water_electricity`	Float	Water & electricity availability rating (0.0–1.0)
`police`	Integer	Nearby police station (0 = No, 1 = Yes)
`education`	Integer	Nearby educational institution (0 = No, 1 = Yes)
`price`	Integer	House price in USD (target variable)

Data Generation

The dataset was generated using NumPy.

Generation process:

Random integer generation for rooms and area
Uniform random values between 0 and 1 for infrastructure ratings
Binary indicators for nearby police and educational facilities
House prices computed from a rule-based pricing function using:
- Base price per square foot
- Infrastructure quality
- Available amenities
- Total house area

Because the underlying generation process is known, this dataset is useful for validating regression algorithms and benchmarking implementations.

Example

rooms	area	road_rating	water_electricity	police	education	price
3	516	0.635397	0.113835	1	0	114036
3	516	0.708022	0.708022	0	0	114552
3	516	0.486341	0.087613	1	1	122292

Intended Use

This dataset is suitable for:

Regression
Machine Learning education
Model benchmarking
Feature engineering
Data visualization
Testing custom ML libraries
Algorithm comparison

Limitations

Synthetic data only
Not representative of any real housing market
Should not be used for real-world property valuation or economic analysis

Citation

If you use this dataset in a project, please cite or reference this repository.

Author

Created by ItzRustam.

Downloads last month: 13