Overview

Dataset statistics

Number of variables5
Number of observations351
Missing cells2
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.2 KiB
Average record size in memory41.4 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description부산광역시금정구의료기관현황_20230914
Author부산광역시 금정구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3078698

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:23:04.387551
Analysis finished2023-12-10 16:23:04.938209
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct351
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean176
Minimum1
Maximum351
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2023-12-11T01:23:05.006961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18.5
Q188.5
median176
Q3263.5
95-th percentile333.5
Maximum351
Range350
Interquartile range (IQR)175

Descriptive statistics

Standard deviation101.46921
Coefficient of variation (CV)0.57652959
Kurtosis-1.2
Mean176
Median Absolute Deviation (MAD)88
Skewness0
Sum61776
Variance10296
MonotonicityStrictly increasing
2023-12-11T01:23:05.158434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
2 1
 
0.3%
241 1
 
0.3%
240 1
 
0.3%
239 1
 
0.3%
238 1
 
0.3%
237 1
 
0.3%
236 1
 
0.3%
235 1
 
0.3%
234 1
 
0.3%
Other values (341) 341
97.2%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
351 1
0.3%
350 1
0.3%
349 1
0.3%
348 1
0.3%
347 1
0.3%
346 1
0.3%
345 1
0.3%
344 1
0.3%
343 1
0.3%
342 1
0.3%
Distinct350
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-11T01:23:05.371075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length7.5754986
Min length3

Characters and Unicode

Total characters2659
Distinct characters299
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique349 ?
Unique (%)99.4%

Sample

1st row지온병원
2nd row금정병원
3rd row화창한병원
4th row단골병원
5th row의료법인세왕의료재단 세왕요양병원
ValueCountFrequency (%)
의료법인 4
 
1.1%
행복의원,한의원 2
 
0.5%
서울 2
 
0.5%
부곡점 2
 
0.5%
정형외과의원 2
 
0.5%
심우영이비인후과의원 1
 
0.3%
황윤권정형외과의원 1
 
0.3%
전명호내과의원 1
 
0.3%
김태관치과의원 1
 
0.3%
창성한의원 1
 
0.3%
Other values (362) 362
95.5%
2023-12-11T01:23:05.757905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
368
 
13.8%
358
 
13.5%
226
 
8.5%
102
 
3.8%
98
 
3.7%
49
 
1.8%
45
 
1.7%
40
 
1.5%
32
 
1.2%
31
 
1.2%
Other values (289) 1310
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2611
98.2%
Space Separator 29
 
1.1%
Uppercase Letter 6
 
0.2%
Other Punctuation 5
 
0.2%
Close Punctuation 3
 
0.1%
Decimal Number 3
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
368
 
14.1%
358
 
13.7%
226
 
8.7%
102
 
3.9%
98
 
3.8%
49
 
1.9%
45
 
1.7%
40
 
1.5%
32
 
1.2%
31
 
1.2%
Other values (275) 1262
48.3%
Uppercase Letter
ValueCountFrequency (%)
H 1
16.7%
S 1
16.7%
B 1
16.7%
K 1
16.7%
J 1
16.7%
L 1
16.7%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
3 1
33.3%
0 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
· 1
 
20.0%
Space Separator
ValueCountFrequency (%)
29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2610
98.2%
Common 42
 
1.6%
Latin 6
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
368
 
14.1%
358
 
13.7%
226
 
8.7%
102
 
3.9%
98
 
3.8%
49
 
1.9%
45
 
1.7%
40
 
1.5%
32
 
1.2%
31
 
1.2%
Other values (274) 1261
48.3%
Common
ValueCountFrequency (%)
29
69.0%
, 4
 
9.5%
) 3
 
7.1%
( 2
 
4.8%
· 1
 
2.4%
2 1
 
2.4%
3 1
 
2.4%
0 1
 
2.4%
Latin
ValueCountFrequency (%)
H 1
16.7%
S 1
16.7%
B 1
16.7%
K 1
16.7%
J 1
16.7%
L 1
16.7%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2610
98.2%
ASCII 47
 
1.8%
CJK 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
368
 
14.1%
358
 
13.7%
226
 
8.7%
102
 
3.9%
98
 
3.8%
49
 
1.9%
45
 
1.7%
40
 
1.5%
32
 
1.2%
31
 
1.2%
Other values (274) 1261
48.3%
ASCII
ValueCountFrequency (%)
29
61.7%
, 4
 
8.5%
) 3
 
6.4%
( 2
 
4.3%
H 1
 
2.1%
S 1
 
2.1%
B 1
 
2.1%
K 1
 
2.1%
J 1
 
2.1%
2 1
 
2.1%
Other values (3) 3
 
6.4%
CJK
ValueCountFrequency (%)
1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%
Distinct8
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
의원
145 
치과의원
95 
한의원
79 
요양병원(일반요양병원)
16 
병원
 
11
Other values (3)
 
5

Length

Max length12
Median length4
Mean length3.2478632
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row병원
2nd row병원
3rd row병원
4th row병원
5th row요양병원(일반요양병원)

Common Values

ValueCountFrequency (%)
의원 145
41.3%
치과의원 95
27.1%
한의원 79
22.5%
요양병원(일반요양병원) 16
 
4.6%
병원 11
 
3.1%
정신병원 3
 
0.9%
한방병원 1
 
0.3%
보건소 1
 
0.3%

Length

2023-12-11T01:23:05.909200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:23:06.041738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 145
41.3%
치과의원 95
27.1%
한의원 79
22.5%
요양병원(일반요양병원 16
 
4.6%
병원 11
 
3.1%
정신병원 3
 
0.9%
한방병원 1
 
0.3%
보건소 1
 
0.3%
Distinct335
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-11T01:23:06.272146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length42
Mean length29.037037
Min length20

Characters and Unicode

Total characters10192
Distinct characters173
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique319 ?
Unique (%)90.9%

Sample

1st row부산광역시 금정구 온천장로 146, 지하1,지상3~11층 (장전동)
2nd row부산광역시 금정구 금정로 244, 2~5층 (구서동)
3rd row부산광역시 금정구 중앙대로1685번길 12, 지하2~6층 (부곡동)
4th row부산광역시 금정구 중앙대로 1829, 5~10, 14층 12~13층 일부호 (구서동)
5th row부산광역시 금정구 식물원로9번길 37 (장전동)
ValueCountFrequency (%)
부산광역시 351
16.7%
금정구 351
16.7%
구서동 99
 
4.7%
2층 88
 
4.2%
부곡동 80
 
3.8%
중앙대로 67
 
3.2%
장전동 67
 
3.2%
서동 46
 
2.2%
남산동 44
 
2.1%
3층 44
 
2.1%
Other values (365) 867
41.2%
2023-12-11T01:23:06.653110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1753
 
17.2%
480
 
4.7%
479
 
4.7%
442
 
4.3%
411
 
4.0%
405
 
4.0%
1 404
 
4.0%
378
 
3.7%
357
 
3.5%
( 353
 
3.5%
Other values (163) 4730
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5813
57.0%
Space Separator 1753
 
17.2%
Decimal Number 1540
 
15.1%
Open Punctuation 353
 
3.5%
Close Punctuation 353
 
3.5%
Other Punctuation 318
 
3.1%
Dash Punctuation 37
 
0.4%
Math Symbol 13
 
0.1%
Uppercase Letter 8
 
0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
480
 
8.3%
479
 
8.2%
442
 
7.6%
411
 
7.1%
405
 
7.0%
378
 
6.5%
357
 
6.1%
353
 
6.1%
352
 
6.1%
350
 
6.0%
Other values (137) 1806
31.1%
Decimal Number
ValueCountFrequency (%)
1 404
26.2%
2 281
18.2%
3 163
10.6%
4 132
 
8.6%
5 124
 
8.1%
0 108
 
7.0%
9 101
 
6.6%
6 89
 
5.8%
7 86
 
5.6%
8 52
 
3.4%
Other Punctuation
ValueCountFrequency (%)
, 314
98.7%
@ 2
 
0.6%
/ 1
 
0.3%
. 1
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
w 1
25.0%
e 1
25.0%
i 1
25.0%
v 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
K 4
50.0%
B 2
25.0%
S 2
25.0%
Space Separator
ValueCountFrequency (%)
1753
100.0%
Open Punctuation
ValueCountFrequency (%)
( 353
100.0%
Close Punctuation
ValueCountFrequency (%)
) 353
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5813
57.0%
Common 4367
42.8%
Latin 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
480
 
8.3%
479
 
8.2%
442
 
7.6%
411
 
7.1%
405
 
7.0%
378
 
6.5%
357
 
6.1%
353
 
6.1%
352
 
6.1%
350
 
6.0%
Other values (137) 1806
31.1%
Common
ValueCountFrequency (%)
1753
40.1%
1 404
 
9.3%
( 353
 
8.1%
) 353
 
8.1%
, 314
 
7.2%
2 281
 
6.4%
3 163
 
3.7%
4 132
 
3.0%
5 124
 
2.8%
0 108
 
2.5%
Other values (9) 382
 
8.7%
Latin
ValueCountFrequency (%)
K 4
33.3%
B 2
16.7%
S 2
16.7%
w 1
 
8.3%
e 1
 
8.3%
i 1
 
8.3%
v 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5813
57.0%
ASCII 4379
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1753
40.0%
1 404
 
9.2%
( 353
 
8.1%
) 353
 
8.1%
, 314
 
7.2%
2 281
 
6.4%
3 163
 
3.7%
4 132
 
3.0%
5 124
 
2.8%
0 108
 
2.5%
Other values (16) 394
 
9.0%
Hangul
ValueCountFrequency (%)
480
 
8.3%
479
 
8.2%
442
 
7.6%
411
 
7.1%
405
 
7.0%
378
 
6.5%
357
 
6.1%
353
 
6.1%
352
 
6.1%
350
 
6.0%
Other values (137) 1806
31.1%
Distinct349
Distinct (%)100.0%
Missing2
Missing (%)0.6%
Memory size2.9 KiB
2023-12-11T01:23:06.906739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters4188
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique349 ?
Unique (%)100.0%

Sample

1st row051-714-5770
2nd row051-967-5225
3rd row051-514-9119
4th row051-582-0100
5th row051-468-9700
ValueCountFrequency (%)
051-509-3000 1
 
0.3%
051-514-2829 1
 
0.3%
051-512-2820 1
 
0.3%
051-518-1662 1
 
0.3%
051-515-7999 1
 
0.3%
051-582-8275 1
 
0.3%
051-531-1195 1
 
0.3%
051-583-2672 1
 
0.3%
051-581-0012 1
 
0.3%
051-514-2330 1
 
0.3%
Other values (339) 339
97.1%
2023-12-11T01:23:07.351564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 870
20.8%
1 741
17.7%
- 698
16.7%
0 564
13.5%
2 282
 
6.7%
8 269
 
6.4%
7 250
 
6.0%
3 181
 
4.3%
6 114
 
2.7%
9 110
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3490
83.3%
Dash Punctuation 698
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 870
24.9%
1 741
21.2%
0 564
16.2%
2 282
 
8.1%
8 269
 
7.7%
7 250
 
7.2%
3 181
 
5.2%
6 114
 
3.3%
9 110
 
3.2%
4 109
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 698
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4188
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 870
20.8%
1 741
17.7%
- 698
16.7%
0 564
13.5%
2 282
 
6.7%
8 269
 
6.4%
7 250
 
6.0%
3 181
 
4.3%
6 114
 
2.7%
9 110
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4188
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 870
20.8%
1 741
17.7%
- 698
16.7%
0 564
13.5%
2 282
 
6.7%
8 269
 
6.4%
7 250
 
6.0%
3 181
 
4.3%
6 114
 
2.7%
9 110
 
2.6%

Interactions

2023-12-11T01:23:04.692875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:23:07.465246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료기관종별
순번1.0000.602
의료기관종별0.6021.000
2023-12-11T01:23:07.562001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료기관종별
순번1.0000.333
의료기관종별0.3331.000

Missing values

2023-12-11T01:23:04.801809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:23:04.896656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

순번의료기관명의료기관종별주소(도로명)전화번호
01지온병원병원부산광역시 금정구 온천장로 146, 지하1,지상3~11층 (장전동)051-714-5770
12금정병원병원부산광역시 금정구 금정로 244, 2~5층 (구서동)051-967-5225
23화창한병원병원부산광역시 금정구 중앙대로1685번길 12, 지하2~6층 (부곡동)051-514-9119
34단골병원병원부산광역시 금정구 중앙대로 1829, 5~10, 14층 12~13층 일부호 (구서동)051-582-0100
45의료법인세왕의료재단 세왕요양병원요양병원(일반요양병원)부산광역시 금정구 식물원로9번길 37 (장전동)051-468-9700
56양지요양병원요양병원(일반요양병원)부산광역시 금정구 금강로 209 (장전동)051-582-5757
67부산마이크로병원병원부산광역시 금정구 중앙대로 1875 (구서동)051-514-1400
78의료법인 천지의료재단 금샘요양병원요양병원(일반요양병원)부산광역시 금정구 남산냇길 111 (청룡동)051-931-0119
89금정형주요양병원요양병원(일반요양병원)부산광역시 금정구 금강로 638 (남산동)051-532-7533
910푸른숲요양병원요양병원(일반요양병원)부산광역시 금정구 금강로 592, 지1,1,3-7층 (구서동)051-714-0098
순번의료기관명의료기관종별주소(도로명)전화번호
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