Overview

Dataset statistics

Number of variables5
Number of observations344
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.9 KiB
Average record size in memory41.4 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description부산광역시북구_의원급의료기관현황_20230228
Author부산광역시 북구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15038761

Alerts

순번 has unique valuesUnique
의료기관명 has unique valuesUnique
의료기관전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:49:52.592496
Analysis finished2023-12-10 17:49:53.932291
Duration1.34 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct344
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean172.5
Minimum1
Maximum344
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2023-12-11T02:49:54.118186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18.15
Q186.75
median172.5
Q3258.25
95-th percentile326.85
Maximum344
Range343
Interquartile range (IQR)171.5

Descriptive statistics

Standard deviation99.448479
Coefficient of variation (CV)0.57651292
Kurtosis-1.2
Mean172.5
Median Absolute Deviation (MAD)86
Skewness0
Sum59340
Variance9890
MonotonicityStrictly increasing
2023-12-11T02:49:54.484257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
228 1
 
0.3%
236 1
 
0.3%
235 1
 
0.3%
234 1
 
0.3%
233 1
 
0.3%
232 1
 
0.3%
231 1
 
0.3%
230 1
 
0.3%
229 1
 
0.3%
Other values (334) 334
97.1%
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 (%)
344 1
0.3%
343 1
0.3%
342 1
0.3%
341 1
0.3%
340 1
0.3%
339 1
0.3%
338 1
0.3%
337 1
0.3%
336 1
0.3%
335 1
0.3%
Distinct5
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
의원
169 
치과의원
93 
한의원
80 
보건지소
 
1
보건소
 
1

Length

Max length4
Median length3
Mean length2.7819767
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row의원
2nd row치과의원
3rd row의원
4th row치과의원
5th row의원

Common Values

ValueCountFrequency (%)
의원 169
49.1%
치과의원 93
27.0%
한의원 80
23.3%
보건지소 1
 
0.3%
보건소 1
 
0.3%

Length

2023-12-11T02:49:54.889357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:49:55.225242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 169
49.1%
치과의원 93
27.0%
한의원 80
23.3%
보건지소 1
 
0.3%
보건소 1
 
0.3%

의료기관명
Text

UNIQUE 

Distinct344
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-11T02:49:55.706844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length7.4360465
Min length3

Characters and Unicode

Total characters2558
Distinct characters279
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique344 ?
Unique (%)100.0%

Sample

1st row화명바른신경외과의원
2nd row포미치과의원
3rd row이승재정형외과의원
4th row다움치과의원
5th row건강한길내과의원
ValueCountFrequency (%)
부산광역시 2
 
0.6%
황금약손한의원 2
 
0.6%
화명바른신경외과의원 1
 
0.3%
서울윌치과의원 1
 
0.3%
화명내과의원 1
 
0.3%
조일래비뇨기과의원 1
 
0.3%
강산치과의원 1
 
0.3%
배정형외과의원 1
 
0.3%
굿모닝내과의원 1
 
0.3%
서울정형외과의원 1
 
0.3%
Other values (338) 338
96.6%
2023-12-11T02:49:56.546708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
366
 
14.3%
349
 
13.6%
232
 
9.1%
97
 
3.8%
94
 
3.7%
53
 
2.1%
41
 
1.6%
38
 
1.5%
33
 
1.3%
32
 
1.3%
Other values (269) 1223
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2542
99.4%
Space Separator 6
 
0.2%
Decimal Number 4
 
0.2%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Lowercase Letter 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
366
 
14.4%
349
 
13.7%
232
 
9.1%
97
 
3.8%
94
 
3.7%
53
 
2.1%
41
 
1.6%
38
 
1.5%
33
 
1.3%
32
 
1.3%
Other values (261) 1207
47.5%
Decimal Number
ValueCountFrequency (%)
0 2
50.0%
8 1
25.0%
2 1
25.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2542
99.4%
Common 14
 
0.5%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
366
 
14.4%
349
 
13.7%
232
 
9.1%
97
 
3.8%
94
 
3.7%
53
 
2.1%
41
 
1.6%
38
 
1.5%
33
 
1.3%
32
 
1.3%
Other values (261) 1207
47.5%
Common
ValueCountFrequency (%)
6
42.9%
) 2
 
14.3%
( 2
 
14.3%
0 2
 
14.3%
8 1
 
7.1%
2 1
 
7.1%
Latin
ValueCountFrequency (%)
e 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2542
99.4%
ASCII 16
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
366
 
14.4%
349
 
13.7%
232
 
9.1%
97
 
3.8%
94
 
3.7%
53
 
2.1%
41
 
1.6%
38
 
1.5%
33
 
1.3%
32
 
1.3%
Other values (261) 1207
47.5%
ASCII
ValueCountFrequency (%)
6
37.5%
) 2
 
12.5%
( 2
 
12.5%
0 2
 
12.5%
e 1
 
6.2%
S 1
 
6.2%
8 1
 
6.2%
2 1
 
6.2%
Distinct317
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-11T02:49:57.119919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length44
Mean length29.244186
Min length19

Characters and Unicode

Total characters10060
Distinct characters178
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

Unique300 ?
Unique (%)87.2%

Sample

1st row부산광역시 북구 화명대로 34, 웰빙프라자 402호, 403호 (화명동)
2nd row부산광역시 북구 만덕대로 9, 구포빌딩 4층 (덕천동)
3rd row부산광역시 북구 화명대로 32, 401호 (화명동)
4th row부산광역시 북구 금곡대로638번가길 42, 2층 (금곡동)
5th row부산광역시 북구 만덕대로 24, 국민은행 덕천동지점 6층 (덕천동)
ValueCountFrequency (%)
부산광역시 344
 
16.3%
북구 343
 
16.3%
덕천동 116
 
5.5%
화명동 105
 
5.0%
만덕대로 82
 
3.9%
2층 59
 
2.8%
구포동 53
 
2.5%
금곡대로 49
 
2.3%
만덕동 48
 
2.3%
3층 43
 
2.0%
Other values (315) 868
41.1%
2023-12-11T02:49:58.192362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1766
 
17.6%
401
 
4.0%
367
 
3.6%
365
 
3.6%
351
 
3.5%
347
 
3.4%
346
 
3.4%
344
 
3.4%
344
 
3.4%
) 343
 
3.4%
Other values (168) 5086
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5779
57.4%
Space Separator 1766
 
17.6%
Decimal Number 1472
 
14.6%
Close Punctuation 343
 
3.4%
Open Punctuation 343
 
3.4%
Other Punctuation 331
 
3.3%
Dash Punctuation 19
 
0.2%
Math Symbol 5
 
< 0.1%
Lowercase Letter 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
401
 
6.9%
367
 
6.4%
365
 
6.3%
351
 
6.1%
347
 
6.0%
346
 
6.0%
344
 
6.0%
344
 
6.0%
343
 
5.9%
306
 
5.3%
Other values (150) 2265
39.2%
Decimal Number
ValueCountFrequency (%)
2 289
19.6%
1 268
18.2%
3 208
14.1%
0 176
12.0%
4 131
8.9%
5 103
 
7.0%
6 86
 
5.8%
8 79
 
5.4%
7 71
 
4.8%
9 61
 
4.1%
Space Separator
ValueCountFrequency (%)
1766
100.0%
Close Punctuation
ValueCountFrequency (%)
) 343
100.0%
Open Punctuation
ValueCountFrequency (%)
( 343
100.0%
Other Punctuation
ValueCountFrequency (%)
, 331
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
K 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5779
57.4%
Common 4279
42.5%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
401
 
6.9%
367
 
6.4%
365
 
6.3%
351
 
6.1%
347
 
6.0%
346
 
6.0%
344
 
6.0%
344
 
6.0%
343
 
5.9%
306
 
5.3%
Other values (150) 2265
39.2%
Common
ValueCountFrequency (%)
1766
41.3%
) 343
 
8.0%
( 343
 
8.0%
, 331
 
7.7%
2 289
 
6.8%
1 268
 
6.3%
3 208
 
4.9%
0 176
 
4.1%
4 131
 
3.1%
5 103
 
2.4%
Other values (6) 321
 
7.5%
Latin
ValueCountFrequency (%)
e 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5779
57.4%
ASCII 4281
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1766
41.3%
) 343
 
8.0%
( 343
 
8.0%
, 331
 
7.7%
2 289
 
6.8%
1 268
 
6.3%
3 208
 
4.9%
0 176
 
4.1%
4 131
 
3.1%
5 103
 
2.4%
Other values (8) 323
 
7.5%
Hangul
ValueCountFrequency (%)
401
 
6.9%
367
 
6.4%
365
 
6.3%
351
 
6.1%
347
 
6.0%
346
 
6.0%
344
 
6.0%
344
 
6.0%
343
 
5.9%
306
 
5.3%
Other values (150) 2265
39.2%
Distinct344
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-11T02:49:58.788930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.906977
Min length7

Characters and Unicode

Total characters4096
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

Unique344 ?
Unique (%)100.0%

Sample

1st row051-943-1000
2nd row051-717-0275
3rd row051-957-1000
4th row051-363-2804
5th row051-988-8000
ValueCountFrequency (%)
051-943-1000 1
 
0.3%
051-332-2875 1
 
0.3%
051-361-7575 1
 
0.3%
051-365-0303 1
 
0.3%
051-361-7528 1
 
0.3%
051-334-2455 1
 
0.3%
051-337-8011 1
 
0.3%
051-361-6400 1
 
0.3%
051-334-8899 1
 
0.3%
051-342-7528 1
 
0.3%
Other values (334) 334
97.1%
2023-12-11T02:49:59.764401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 679
16.6%
3 647
15.8%
5 563
13.7%
1 560
13.7%
0 540
13.2%
7 240
 
5.9%
2 232
 
5.7%
8 204
 
5.0%
6 181
 
4.4%
4 147
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3417
83.4%
Dash Punctuation 679
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 647
18.9%
5 563
16.5%
1 560
16.4%
0 540
15.8%
7 240
 
7.0%
2 232
 
6.8%
8 204
 
6.0%
6 181
 
5.3%
4 147
 
4.3%
9 103
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 679
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4096
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 679
16.6%
3 647
15.8%
5 563
13.7%
1 560
13.7%
0 540
13.2%
7 240
 
5.9%
2 232
 
5.7%
8 204
 
5.0%
6 181
 
4.4%
4 147
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4096
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 679
16.6%
3 647
15.8%
5 563
13.7%
1 560
13.7%
0 540
13.2%
7 240
 
5.9%
2 232
 
5.7%
8 204
 
5.0%
6 181
 
4.4%
4 147
 
3.6%

Interactions

2023-12-11T02:49:53.243479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:50:00.002491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료기관종별
순번1.0000.173
의료기관종별0.1731.000
2023-12-11T02:50:00.179673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료기관종별
순번1.0000.072
의료기관종별0.0721.000

Missing values

2023-12-11T02:49:53.565134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:49:53.842495image/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

순번의료기관종별의료기관명의료기관주소(도로명)의료기관전화번호
01의원화명바른신경외과의원부산광역시 북구 화명대로 34, 웰빙프라자 402호, 403호 (화명동)051-943-1000
12치과의원포미치과의원부산광역시 북구 만덕대로 9, 구포빌딩 4층 (덕천동)051-717-0275
23의원이승재정형외과의원부산광역시 북구 화명대로 32, 401호 (화명동)051-957-1000
34치과의원다움치과의원부산광역시 북구 금곡대로638번가길 42, 2층 (금곡동)051-363-2804
45의원건강한길내과의원부산광역시 북구 만덕대로 24, 국민은행 덕천동지점 6층 (덕천동)051-988-8000
56한의원광덕안정한의원 부산화명점부산광역시 북구 화명대로 68, 상가동 202호,203호 (화명동, 이편한세상화명힐스)051-715-2660
67한의원황금약손한의원 덕천부산광역시 북구 백양대로 1192, 2층 (구포동)051-921-0175
78의원리즈김상식안과의원부산광역시 북구 만덕대로 18, 금샘빌딩 5층 (덕천동)051-335-1004
89의원바른정형외과의원부산광역시 북구 금곡대로8번길 33, 2층 2-2호 (덕천동, 아남프라자)051-337-3331
910한의원청안한의원부산광역시 북구 백양대로1015번길 34-20, 태강 2층 (구포동)051-338-5775
순번의료기관종별의료기관명의료기관주소(도로명)의료기관전화번호
334335의원김창욱내과의원부산광역시 북구 백양대로 1204 (덕천동)051-335-2589
335336의원권경자산부인과의원부산광역시 북구 백양대로 1204 (덕천동)051-335-3355
336337의원한순자소아청소년과의원부산광역시 북구 만덕대로155번길 15, 105,106호 (덕천동, 삼정그린코아상가2동)051-333-2222
337338의원김대헌내과의원부산광역시 북구 만덕대로 14 (덕천동)051-334-7194
338339의원이계실이비인후과의원부산광역시 북구 만덕대로 16 (덕천동)051-332-9352
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340341의원윤병용이비인후과의원부산광역시 북구 만덕대로 12, 3층 (덕천동)051-332-1182
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