Overview

Dataset statistics

Number of variables4
Number of observations129
Missing cells1
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory34.0 B

Variable types

Numeric1
Text3

Dataset

Description부산광역시기장군_의원(병원)현황_20230907
Author부산광역시 기장군
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15053846

Alerts

순번 has unique valuesUnique
의료기관명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:13:07.360475
Analysis finished2023-12-10 16:13:08.026932
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct129
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65
Minimum1
Maximum129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T01:13:08.148510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.4
Q133
median65
Q397
95-th percentile122.6
Maximum129
Range128
Interquartile range (IQR)64

Descriptive statistics

Standard deviation37.383151
Coefficient of variation (CV)0.5751254
Kurtosis-1.2
Mean65
Median Absolute Deviation (MAD)32
Skewness0
Sum8385
Variance1397.5
MonotonicityStrictly increasing
2023-12-11T01:13:08.420097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
98 1
 
0.8%
96 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
Other values (119) 119
92.2%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
129 1
0.8%
128 1
0.8%
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%
122 1
0.8%
121 1
0.8%
120 1
0.8%

의료기관명
Text

UNIQUE 

Distinct129
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T01:13:08.910273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length7.5658915
Min length3

Characters and Unicode

Total characters976
Distinct characters179
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique129 ?
Unique (%)100.0%

Sample

1st row바르다마취통증의학과의원
2nd row서루정신건강의학과의원
3rd row참바른내과의원
4th row봄소아청소년과의원
5th row일광척정형외과의원
ValueCountFrequency (%)
의원 2
 
1.4%
바르다마취통증의학과의원 1
 
0.7%
조은가정의학과의원 1
 
0.7%
경동정형외과의원 1
 
0.7%
박소아청소년과의원 1
 
0.7%
이배혁이비인후과의원 1
 
0.7%
이광욱내과의원 1
 
0.7%
김사영소아청소년과의원 1
 
0.7%
이재관내과의원 1
 
0.7%
정관제일의원 1
 
0.7%
Other values (127) 127
92.0%
2023-12-11T01:13:09.553015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 144
 
14.8%
원 133
 
13.6%
과 74
 
7.6%
한 41
 
4.2%
정 34
 
3.5%
내 20
 
2.0%
이 18
 
1.8%
소 16
 
1.6%
학 14
 
1.4%
관 13
 
1.3%
Other values (169) 469
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 957
98.1%
Space Separator 9
 
0.9%
Decimal Number 7
 
0.7%
Open Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 144
 
15.0%
원 133
 
13.9%
과 74
 
7.7%
한 41
 
4.3%
정 34
 
3.6%
내 20
 
2.1%
이 18
 
1.9%
소 16
 
1.7%
학 14
 
1.5%
관 13
 
1.4%
Other values (159) 450
47.0%
Decimal Number
ValueCountFrequency (%)
3 2
28.6%
6 1
14.3%
5 1
14.3%
7 1
14.3%
1 1
14.3%
0 1
14.3%
Space Separator
ValueCountFrequency (%)
9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 957
98.1%
Common 18
 
1.8%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 144
 
15.0%
원 133
 
13.9%
과 74
 
7.7%
한 41
 
4.3%
정 34
 
3.6%
내 20
 
2.1%
이 18
 
1.9%
소 16
 
1.7%
학 14
 
1.5%
관 13
 
1.4%
Other values (159) 450
47.0%
Common
ValueCountFrequency (%)
9
50.0%
3 2
 
11.1%
( 1
 
5.6%
6 1
 
5.6%
) 1
 
5.6%
5 1
 
5.6%
7 1
 
5.6%
1 1
 
5.6%
0 1
 
5.6%
Latin
ValueCountFrequency (%)
S 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 957
98.1%
ASCII 19
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 144
 
15.0%
원 133
 
13.9%
과 74
 
7.7%
한 41
 
4.3%
정 34
 
3.6%
내 20
 
2.1%
이 18
 
1.9%
소 16
 
1.7%
학 14
 
1.5%
관 13
 
1.4%
Other values (159) 450
47.0%
ASCII
ValueCountFrequency (%)
9
47.4%
3 2
 
10.5%
( 1
 
5.3%
6 1
 
5.3%
S 1
 
5.3%
) 1
 
5.3%
5 1
 
5.3%
7 1
 
5.3%
1 1
 
5.3%
0 1
 
5.3%

의료기관주소(도로명)
Text

Distinct126
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T01:13:10.033320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length36
Mean length29.527132
Min length20

Characters and Unicode

Total characters3809
Distinct characters123
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique124 ?
Unique (%)96.1%

Sample

1st row부산광역시 기장군 일광읍 해빛6로 85-16, 4층
2nd row부산광역시 기장군 정관읍 정관로 561, 정관타워 8층 801호
3rd row부산광역시 기장군 일광읍 해빛6로 85-16, 일광청보리더스 5층
4th row부산광역시 기장군 일광읍 해빛1로 74, 일광골드타워 503호
5th row부산광역시 기장군 일광읍 해빛로 13, 일광제일프라자 5층 501~502호
ValueCountFrequency (%)
부산광역시 129
 
15.4%
기장군 129
 
15.4%
기장읍 52
 
6.2%
정관로 41
 
4.9%
정관읍 39
 
4.7%
2층 23
 
2.8%
읍내로 17
 
2.0%
3층 16
 
1.9%
일광읍 16
 
1.9%
차성동로 14
 
1.7%
Other values (197) 359
43.0%
2023-12-11T01:13:10.758039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
706
 
18.5%
장 191
 
5.0%
기 183
 
4.8%
광 156
 
4.1%
산 132
 
3.5%
읍 131
 
3.4%
부 130
 
3.4%
, 130
 
3.4%
시 130
 
3.4%
역 129
 
3.4%
Other values (113) 1791
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2236
58.7%
Space Separator 706
 
18.5%
Decimal Number 675
 
17.7%
Other Punctuation 130
 
3.4%
Open Punctuation 20
 
0.5%
Close Punctuation 20
 
0.5%
Dash Punctuation 13
 
0.3%
Math Symbol 5
 
0.1%
Uppercase Letter 3
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 191
 
8.5%
기 183
 
8.2%
광 156
 
7.0%
산 132
 
5.9%
읍 131
 
5.9%
부 130
 
5.8%
시 130
 
5.8%
역 129
 
5.8%
군 129
 
5.8%
로 124
 
5.5%
Other values (93) 801
35.8%
Decimal Number
ValueCountFrequency (%)
1 104
15.4%
3 98
14.5%
0 92
13.6%
2 89
13.2%
5 80
11.9%
4 64
9.5%
6 51
7.6%
8 38
 
5.6%
9 30
 
4.4%
7 29
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
B 1
33.3%
G 1
33.3%
Space Separator
ValueCountFrequency (%)
706
100.0%
Other Punctuation
ValueCountFrequency (%)
, 130
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2236
58.7%
Common 1569
41.2%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 191
 
8.5%
기 183
 
8.2%
광 156
 
7.0%
산 132
 
5.9%
읍 131
 
5.9%
부 130
 
5.8%
시 130
 
5.8%
역 129
 
5.8%
군 129
 
5.8%
로 124
 
5.5%
Other values (93) 801
35.8%
Common
ValueCountFrequency (%)
706
45.0%
, 130
 
8.3%
1 104
 
6.6%
3 98
 
6.2%
0 92
 
5.9%
2 89
 
5.7%
5 80
 
5.1%
4 64
 
4.1%
6 51
 
3.3%
8 38
 
2.4%
Other values (6) 117
 
7.5%
Latin
ValueCountFrequency (%)
S 1
25.0%
B 1
25.0%
G 1
25.0%
Ⅱ 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2236
58.7%
ASCII 1572
41.3%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
706
44.9%
, 130
 
8.3%
1 104
 
6.6%
3 98
 
6.2%
0 92
 
5.9%
2 89
 
5.7%
5 80
 
5.1%
4 64
 
4.1%
6 51
 
3.2%
8 38
 
2.4%
Other values (9) 120
 
7.6%
Hangul
ValueCountFrequency (%)
장 191
 
8.5%
기 183
 
8.2%
광 156
 
7.0%
산 132
 
5.9%
읍 131
 
5.9%
부 130
 
5.8%
시 130
 
5.8%
역 129
 
5.8%
군 129
 
5.8%
로 124
 
5.5%
Other values (93) 801
35.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

의료기관전화번호
Text

Distinct128
Distinct (%)100.0%
Missing1
Missing (%)0.8%
Memory size1.1 KiB
2023-12-11T01:13:11.089537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1536
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

Unique128 ?
Unique (%)100.0%

Sample

1st row051-724-6768
2nd row051-710-4575
3rd row051-543-3700
4th row051-723-9943
5th row051-791-2997
ValueCountFrequency (%)
051-724-6768 1
 
0.8%
051-710-4575 1
 
0.8%
051-723-6888 1
 
0.8%
051-702-8822 1
 
0.8%
051-723-1075 1
 
0.8%
051-727-3355 1
 
0.8%
051-721-5055 1
 
0.8%
051-728-3115 1
 
0.8%
051-727-5808 1
 
0.8%
051-721-0053 1
 
0.8%
Other values (118) 118
92.2%
2023-12-11T01:13:11.567329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 256
16.7%
5 227
14.8%
7 213
13.9%
0 206
13.4%
1 194
12.6%
2 176
11.5%
8 81
 
5.3%
3 73
 
4.8%
4 47
 
3.1%
9 32
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1280
83.3%
Dash Punctuation 256
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 227
17.7%
7 213
16.6%
0 206
16.1%
1 194
15.2%
2 176
13.8%
8 81
 
6.3%
3 73
 
5.7%
4 47
 
3.7%
9 32
 
2.5%
6 31
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 256
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1536
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 256
16.7%
5 227
14.8%
7 213
13.9%
0 206
13.4%
1 194
12.6%
2 176
11.5%
8 81
 
5.3%
3 73
 
4.8%
4 47
 
3.1%
9 32
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1536
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 256
16.7%
5 227
14.8%
7 213
13.9%
0 206
13.4%
1 194
12.6%
2 176
11.5%
8 81
 
5.3%
3 73
 
4.8%
4 47
 
3.1%
9 32
 
2.1%

Interactions

2023-12-11T01:13:07.621883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-11T01:13:07.803404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:13:07.949642image/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

순번의료기관명의료기관주소(도로명)의료기관전화번호
01바르다마취통증의학과의원부산광역시 기장군 일광읍 해빛6로 85-16, 4층051-724-6768
12서루정신건강의학과의원부산광역시 기장군 정관읍 정관로 561, 정관타워 8층 801호051-710-4575
23참바른내과의원부산광역시 기장군 일광읍 해빛6로 85-16, 일광청보리더스 5층051-543-3700
34봄소아청소년과의원부산광역시 기장군 일광읍 해빛1로 74, 일광골드타워 503호051-723-9943
45일광척정형외과의원부산광역시 기장군 일광읍 해빛로 13, 일광제일프라자 5층 501~502호051-791-2997
56더건강한내과의원부산광역시 기장군 일광읍 해송4로 17, 5층 501호051-715-7172
67플레르의원부산광역시 기장군 일광읍 해빛1로 5, 센텀타워 5층051-723-1122
78진선미의원부산광역시 기장군 일광읍 해송2로 18, 정안메디컬 6층051-724-0630
89정관정형외과의원부산광역시 기장군 정관읍 정관로 581, 5층051-727-8727
910서울삼성내과의원부산광역시 기장군 기장읍 차성동로116번길 5, 꽃나라꽃집 2~4층051-710-0506
순번의료기관명의료기관주소(도로명)의료기관전화번호
119120보영한의원부산광역시 기장군 기장읍 차성남로51번길 30051-721-8181
120121일광한의원부산광역시 기장군 일광읍 해빛로 39-16, 3층051-723-1076
121122동의보감한의원부산광역시 기장군 기장읍 차성동로 89, 1층051-722-3533
122123정다운한의원부산광역시 기장군 장안읍 해맞이로 408051-727-8525
123124서울한의원부산광역시 기장군 기장읍 차성동로87번길 8051-724-2800
124125부용한의원부산광역시 기장군 장안읍 해맞이로 425051-727-7510
125126상민한의원부산광역시 기장군 기장읍 차성동로178번길 3051-722-1359
126127송학한의원부산광역시 기장군 기장읍 차성동로 88-2051-724-6700
127128용한의원부산광역시 기장군 기장읍 차성로 304051-723-0770
128129화성한의원부산광역시 기장군 기장읍 차성로288번길 48, 1층051-721-4128