Breast Cancer Wisconsin

Name: Breast Cancer Wisconsin
Creator: Helix
Keywords: dataset, format:csv, health, hugging face, license:cc-by-sa-4.0, modality:tabular, modality:text, size_categories:n<1K

Hugging Face

Breast Cancer Wisconsin Diagnostic Dataset Following description was retrieved from breast cancer dataset on UCI machine learning repository. Features are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass. They describe characteristics of the cell nuclei present in the image. A few of the images can be found at here. Separating plane described above was obtained using Multisurface Method-Tree (MSM-T), a classification method which uses linear… See the full description on the dataset page: https://huggingface.co/datasets/scikit-learn/breast-cancer-wisconsin.

scikit-learn--breast-cancer-wisconsin.parquet 500 rows scikit-learn/breast-cancer-wisconsin

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average id by diagnosis scatter id vs radius_mean distribution of diagnosis correlation heatmap of all numeric columns

Data preview

500 rows · 32 columns · showing first 12

#	id integer	diagnosis text	radius_mean float	texture_mean float	perimeter_mean float	area_mean float	smoothness_mean float	compactness_mean float	concavity_mean float	concave points_mean float	symmetry_mean float	fractal_dimension_mean float	radius_se float	texture_se float	perimeter_se float	area_se float	smoothness_se float	compactness_se float	concavity_se float	concave points_se float	symmetry_se float	fractal_dimension_se float	radius_worst float	texture_worst float	perimeter_worst float	area_worst float	smoothness_worst float	compactness_worst float	concavity_worst float	concave points_worst float	symmetry_worst float	fractal_dimension_worst float
1	842302	M	17.99	10.38	122.8	1001	0.1184	0.2776	0.3001	0.1471	0.2419	0.07871	1.095	0.9053	8.589	153.4	0.006399	0.04904	0.05373	0.01587	0.03003	0.006193	25.38	17.33	184.6	2019	0.1622	0.6656	0.7119	0.2654	0.4601	0.1189
2	842517	M	20.57	17.77	132.9	1326	0.08474	0.07864	0.0869	0.07017	0.1812	0.05667	0.5435	0.7339	3.398	74.08	0.005225	0.01308	0.0186	0.0134	0.01389	0.003532	24.99	23.41	158.8	1956	0.1238	0.1866	0.2416	0.186	0.275	0.08902
3	84300903	M	19.69	21.25	130	1203	0.1096	0.1599	0.1974	0.1279	0.2069	0.05999	0.7456	0.7869	4.585	94.03	0.00615	0.04006	0.03832	0.02058	0.0225	0.004571	23.57	25.53	152.5	1709	0.1444	0.4245	0.4504	0.243	0.3613	0.08758
4	84348301	M	11.42	20.38	77.58	386.1	0.1425	0.2839	0.2414	0.1052	0.2597	0.09744	0.4956	1.156	3.445	27.23	0.00911	0.07458	0.05661	0.01867	0.05963	0.009208	14.91	26.5	98.87	567.7	0.2098	0.8663	0.6869	0.2575	0.6638	0.173
5	84358402	M	20.29	14.34	135.1	1297	0.1003	0.1328	0.198	0.1043	0.1809	0.05883	0.7572	0.7813	5.438	94.44	0.01149	0.02461	0.05688	0.01885	0.01756	0.005115	22.54	16.67	152.2	1575	0.1374	0.205	0.4	0.1625	0.2364	0.07678
6	843786	M	12.45	15.7	82.57	477.1	0.1278	0.17	0.1578	0.08089	0.2087	0.07613	0.3345	0.8902	2.217	27.19	0.00751	0.03345	0.03672	0.01137	0.02165	0.005082	15.47	23.75	103.4	741.6	0.1791	0.5249	0.5355	0.1741	0.3985	0.1244
7	844359	M	18.25	19.98	119.6	1040	0.09463	0.109	0.1127	0.074	0.1794	0.05742	0.4467	0.7732	3.18	53.91	0.004314	0.01382	0.02254	0.01039	0.01369	0.002179	22.88	27.66	153.2	1606	0.1442	0.2576	0.3784	0.1932	0.3063	0.08368
8	84458202	M	13.71	20.83	90.2	577.9	0.1189	0.1645	0.09366	0.05985	0.2196	0.07451	0.5835	1.377	3.856	50.96	0.008805	0.03029	0.02488	0.01448	0.01486	0.005412	17.06	28.14	110.6	897	0.1654	0.3682	0.2678	0.1556	0.3196	0.1151
9	844981	M	13	21.82	87.5	519.8	0.1273	0.1932	0.1859	0.09353	0.235	0.07389	0.3063	1.002	2.406	24.32	0.005731	0.03502	0.03553	0.01226	0.02143	0.003749	15.49	30.73	106.2	739.3	0.1703	0.5401	0.539	0.206	0.4378	0.1072
10	84501001	M	12.46	24.04	83.97	475.9	0.1186	0.2396	0.2273	0.08543	0.203	0.08243	0.2976	1.599	2.039	23.94	0.007149	0.07217	0.07743	0.01432	0.01789	0.01008	15.09	40.68	97.65	711.4	0.1853	1.058	1.105	0.221	0.4366	0.2075
11	845636	M	16.02	23.24	102.7	797.8	0.08206	0.06669	0.03299	0.03323	0.1528	0.05697	0.3795	1.187	2.466	40.51	0.004029	0.009269	0.01101	0.007591	0.0146	0.003042	19.19	33.88	123.8	1150	0.1181	0.1551	0.1459	0.09975	0.2948	0.08452
12	84610002	M	15.78	17.89	103.6	781	0.0971	0.1292	0.09954	0.06606	0.1842	0.06082	0.5058	0.9849	3.564	54.16	0.005771	0.04061	0.02791	0.01282	0.02008	0.004144	20.42	27.28	136.5	1299	0.1396	0.5609	0.3965	0.181	0.3792	0.1048

Auto-generated charts

Breast Cancer Wisconsin: 500 rows by 32 columns. These exploratory charts are generated automatically from the data - open the dataset in Helix to ask your own questions.

Rows500

Columns32

Numeric cols30

Categorical cols1

Charts

Total radius_mean by diagnosis

Top diagnosis values ranked by summed radius_mean.

radius_mean vs texture_mean

radius_mean vs texture_mean, coloured by diagnosis.

Distribution of radius_mean

Histogram of radius_mean values.

Correlation of numeric columns

Pearson correlation between numeric columns.

radius_mean by diagnosis

Spread of radius_mean across diagnosis groups.

Interesting queries to try

Columns

id numeric
diagnosis categorical
radius_mean numeric
texture_mean numeric
perimeter_mean numeric
area_mean numeric
smoothness_mean numeric
compactness_mean numeric
concavity_mean numeric
concave points_mean numeric
symmetry_mean numeric
fractal_dimension_mean numeric
radius_se numeric
texture_se numeric
perimeter_se numeric
area_se numeric
smoothness_se numeric
compactness_se numeric
concavity_se numeric
concave points_se numeric
symmetry_se numeric
fractal_dimension_se numeric
radius_worst numeric
texture_worst numeric
perimeter_worst numeric
area_worst numeric
smoothness_worst numeric
compactness_worst numeric
concavity_worst numeric
concave points_worst numeric
symmetry_worst numeric
fractal_dimension_worst numeric
Unnamed: 32 unknown