Overview

Dataset statistics

Number of variables4
Number of observations273
Missing cells8
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.9 KiB
Average record size in memory33.5 B

Variable types

Text3
Numeric1

Dataset

Description경상남도 양산시의 의료기관 정보를 확인할 수 있는 공공데이터입니다. 의료기관명,종별,도로명주소,데이터기준일 등 확인할 수 있습니다.
Author경상남도 양산시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3065865

Alerts

의료기관전화번호 has 8 (2.9%) missing valuesMissing
병상 has 212 (77.7%) zerosZeros

Reproduction

Analysis started2023-12-10 23:43:14.220407
Analysis finished2023-12-10 23:43:14.655376
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의료기관명
Text

Distinct272
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-11T08:43:14.791259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length7.1025641
Min length3

Characters and Unicode

Total characters1939
Distinct characters244
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique271 ?
Unique (%)99.3%

Sample

1st row의료법인 보원의료재단 웅상중앙병원
2nd row서울아이병원
3rd row새웅상요양병원
4th row양산서울요양병원
5th row세호요양병원
ValueCountFrequency (%)
의원 3
 
1.1%
황치과의원 2
 
0.7%
의료법인 2
 
0.7%
강남비뇨기과의원 1
 
0.4%
경희한의원 1
 
0.4%
현대치과의원 1
 
0.4%
황외과의원 1
 
0.4%
백미경산부인과의원 1
 
0.4%
탑이비인후과의원 1
 
0.4%
미소치과의원 1
 
0.4%
Other values (271) 271
95.1%
2023-12-11T08:43:15.132107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 277
 
14.3%
의 264
 
13.6%
과 163
 
8.4%
한 64
 
3.3%
치 60
 
3.1%
이 41
 
2.1%
소 35
 
1.8%
양 32
 
1.7%
산 32
 
1.7%
인 31
 
1.6%
Other values (234) 940
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1925
99.3%
Space Separator 12
 
0.6%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 277
 
14.4%
의 264
 
13.7%
과 163
 
8.5%
한 64
 
3.3%
치 60
 
3.1%
이 41
 
2.1%
소 35
 
1.8%
양 32
 
1.7%
산 32
 
1.7%
인 31
 
1.6%
Other values (231) 926
48.1%
Space Separator
ValueCountFrequency (%)
12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1924
99.2%
Common 14
 
0.7%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 277
 
14.4%
의 264
 
13.7%
과 163
 
8.5%
한 64
 
3.3%
치 60
 
3.1%
이 41
 
2.1%
소 35
 
1.8%
양 32
 
1.7%
산 32
 
1.7%
인 31
 
1.6%
Other values (230) 925
48.1%
Common
ValueCountFrequency (%)
12
85.7%
( 1
 
7.1%
) 1
 
7.1%
Han
ValueCountFrequency (%)
美 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1924
99.2%
ASCII 14
 
0.7%
CJK 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 277
 
14.4%
의 264
 
13.7%
과 163
 
8.5%
한 64
 
3.3%
치 60
 
3.1%
이 41
 
2.1%
소 35
 
1.8%
양 32
 
1.7%
산 32
 
1.7%
인 31
 
1.6%
Other values (230) 925
48.1%
ASCII
ValueCountFrequency (%)
12
85.7%
( 1
 
7.1%
) 1
 
7.1%
CJK
ValueCountFrequency (%)
美 1
100.0%

의료기관주소(도로명)
Text

Distinct241
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-11T08:43:15.352588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length39
Mean length26.40293
Min length19

Characters and Unicode

Total characters7208
Distinct characters164
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

Unique220 ?
Unique (%)80.6%

Sample

1st row경상남도 양산시 서창로 59 (명동)
2nd row경상남도 양산시 양산역로 71, 5,6,7층 (중부동, 노바메디칼센터)
3rd row경상남도 양산시 서창동1길 7 (삼호동)
4th row경상남도 양산시 삼성7길 11-14 (북정동, 1층 일부, 2~9층)
5th row경상남도 양산시 덕계7길 12 (덕계동)
ValueCountFrequency (%)
경상남도 273
 
17.4%
양산시 273
 
17.4%
중부동 66
 
4.2%
물금읍 43
 
2.7%
덕계동 41
 
2.6%
삼호동 32
 
2.0%
덕계로 31
 
2.0%
서창로 23
 
1.5%
2층 19
 
1.2%
삽량로 17
 
1.1%
Other values (324) 751
47.9%
2023-12-11T08:43:15.695936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1296
 
18.0%
산 348
 
4.8%
양 333
 
4.6%
상 300
 
4.2%
남 289
 
4.0%
시 277
 
3.8%
경 273
 
3.8%
도 273
 
3.8%
( 243
 
3.4%
) 243
 
3.4%
Other values (154) 3333
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4188
58.1%
Space Separator 1296
 
18.0%
Decimal Number 1047
 
14.5%
Open Punctuation 243
 
3.4%
Close Punctuation 243
 
3.4%
Other Punctuation 144
 
2.0%
Dash Punctuation 26
 
0.4%
Lowercase Letter 10
 
0.1%
Uppercase Letter 9
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 348
 
8.3%
양 333
 
8.0%
상 300
 
7.2%
남 289
 
6.9%
시 277
 
6.6%
경 273
 
6.5%
도 273
 
6.5%
동 232
 
5.5%
로 196
 
4.7%
호 108
 
2.6%
Other values (125) 1559
37.2%
Decimal Number
ValueCountFrequency (%)
1 204
19.5%
3 139
13.3%
2 136
13.0%
0 118
11.3%
4 108
10.3%
6 93
8.9%
5 75
 
7.2%
9 59
 
5.6%
8 59
 
5.6%
7 56
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
O 2
22.2%
E 2
22.2%
D 1
11.1%
G 1
11.1%
B 1
11.1%
Y 1
11.1%
C 1
11.1%
Lowercase Letter
ValueCountFrequency (%)
a 4
40.0%
z 2
20.0%
l 2
20.0%
p 2
20.0%
Other Punctuation
ValueCountFrequency (%)
, 142
98.6%
/ 1
 
0.7%
. 1
 
0.7%
Space Separator
ValueCountFrequency (%)
1296
100.0%
Open Punctuation
ValueCountFrequency (%)
( 243
100.0%
Close Punctuation
ValueCountFrequency (%)
) 243
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4188
58.1%
Common 3001
41.6%
Latin 19
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 348
 
8.3%
양 333
 
8.0%
상 300
 
7.2%
남 289
 
6.9%
시 277
 
6.6%
경 273
 
6.5%
도 273
 
6.5%
동 232
 
5.5%
로 196
 
4.7%
호 108
 
2.6%
Other values (125) 1559
37.2%
Common
ValueCountFrequency (%)
1296
43.2%
( 243
 
8.1%
) 243
 
8.1%
1 204
 
6.8%
, 142
 
4.7%
3 139
 
4.6%
2 136
 
4.5%
0 118
 
3.9%
4 108
 
3.6%
6 93
 
3.1%
Other values (8) 279
 
9.3%
Latin
ValueCountFrequency (%)
a 4
21.1%
O 2
10.5%
z 2
10.5%
l 2
10.5%
p 2
10.5%
E 2
10.5%
D 1
 
5.3%
G 1
 
5.3%
B 1
 
5.3%
Y 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4188
58.1%
ASCII 3020
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1296
42.9%
( 243
 
8.0%
) 243
 
8.0%
1 204
 
6.8%
, 142
 
4.7%
3 139
 
4.6%
2 136
 
4.5%
0 118
 
3.9%
4 108
 
3.6%
6 93
 
3.1%
Other values (19) 298
 
9.9%
Hangul
ValueCountFrequency (%)
산 348
 
8.3%
양 333
 
8.0%
상 300
 
7.2%
남 289
 
6.9%
시 277
 
6.6%
경 273
 
6.5%
도 273
 
6.5%
동 232
 
5.5%
로 196
 
4.7%
호 108
 
2.6%
Other values (125) 1559
37.2%

의료기관전화번호
Text

MISSING 

Distinct264
Distinct (%)99.6%
Missing8
Missing (%)2.9%
Memory size2.3 KiB
2023-12-11T08:43:15.956563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.988679
Min length9

Characters and Unicode

Total characters3177
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

Unique263 ?
Unique (%)99.2%

Sample

1st row1600-7582
2nd row055-367-1275
3rd row055-387-9595
4th row055-781-1120
5th row055-364-7565
ValueCountFrequency (%)
055-385-0772 2
 
0.8%
055-362-7528 1
 
0.4%
055-382-6400 1
 
0.4%
1600-7582 1
 
0.4%
055-365-1400 1
 
0.4%
055-389-0075 1
 
0.4%
055-387-3875 1
 
0.4%
055-366-7582 1
 
0.4%
055-387-9229 1
 
0.4%
055-366-5802 1
 
0.4%
Other values (254) 254
95.8%
2023-12-11T08:43:16.355573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 712
22.4%
- 529
16.7%
0 414
13.0%
3 341
10.7%
8 287
9.0%
7 222
 
7.0%
6 208
 
6.5%
2 180
 
5.7%
1 128
 
4.0%
4 90
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2648
83.3%
Dash Punctuation 529
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 712
26.9%
0 414
15.6%
3 341
12.9%
8 287
10.8%
7 222
 
8.4%
6 208
 
7.9%
2 180
 
6.8%
1 128
 
4.8%
4 90
 
3.4%
9 66
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 529
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3177
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 712
22.4%
- 529
16.7%
0 414
13.0%
3 341
10.7%
8 287
9.0%
7 222
 
7.0%
6 208
 
6.5%
2 180
 
5.7%
1 128
 
4.0%
4 90
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3177
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 712
22.4%
- 529
16.7%
0 414
13.0%
3 341
10.7%
8 287
9.0%
7 222
 
7.0%
6 208
 
6.5%
2 180
 
5.7%
1 128
 
4.0%
4 90
 
2.8%

병상
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.369963
Minimum0
Maximum1140
Zeros212
Zeros (%)77.7%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-11T08:43:16.513196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile187.6
Maximum1140
Range1140
Interquartile range (IQR)0

Descriptive statistics

Standard deviation98.572115
Coefficient of variation (CV)4.04482
Kurtosis66.990974
Mean24.369963
Median Absolute Deviation (MAD)0
Skewness7.1755856
Sum6653
Variance9716.4619
MonotonicityNot monotonic
2023-12-11T08:43:16.634882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 212
77.7%
29 8
 
2.9%
1 6
 
2.2%
9 4
 
1.5%
199 3
 
1.1%
3 3
 
1.1%
299 3
 
1.1%
10 2
 
0.7%
4 2
 
0.7%
20 1
 
0.4%
Other values (29) 29
 
10.6%
ValueCountFrequency (%)
0 212
77.7%
1 6
 
2.2%
2 1
 
0.4%
3 3
 
1.1%
4 2
 
0.7%
5 1
 
0.4%
6 1
 
0.4%
8 1
 
0.4%
9 4
 
1.5%
10 2
 
0.7%
ValueCountFrequency (%)
1140 1
 
0.4%
591 1
 
0.4%
540 1
 
0.4%
299 3
1.1%
289 1
 
0.4%
275 1
 
0.4%
258 1
 
0.4%
223 1
 
0.4%
212 1
 
0.4%
199 3
1.1%

Interactions

2023-12-11T08:43:14.470982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-11T08:43:14.557887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:43:14.626467image/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

의료기관명의료기관주소(도로명)의료기관전화번호병상
0의료법인 보원의료재단 웅상중앙병원경상남도 양산시 서창로 59 (명동)1600-7582223
1서울아이병원경상남도 양산시 양산역로 71, 5,6,7층 (중부동, 노바메디칼센터)055-367-127540
2새웅상요양병원경상남도 양산시 서창동1길 7 (삼호동)<NA>168
3양산서울요양병원경상남도 양산시 삼성7길 11-14 (북정동, 1층 일부, 2~9층)055-387-9595258
4세호요양병원경상남도 양산시 덕계7길 12 (덕계동)055-781-1120116
5의료법인 인경의료재단 홍익요양병원경상남도 양산시 북안남6길 6 (북부동)055-364-7565199
6아이조은병원경상남도 양산시 평산로 12 (평산동)055-603-207044
7유성요양병원경상남도 양산시 삼일로 75 (북부동, 지하1층,1층일부,3-7층)055-363-1111199
8양산중앙요양병원경상남도 양산시 장터4길 6-9 (중부동)055-383-7582140
9유어스치과병원경상남도 양산시 양산역로 71, 8,9층 (중부동, 노바메디컬케어)055-364-76000
의료기관명의료기관주소(도로명)의료기관전화번호병상
263중앙의원경상남도 양산시 삼일로 104 (중부동)055-387-18500
264유창한의원경상남도 양산시 서창로 193 (삼호동)055-366-65650
265성은주치과의원경상남도 양산시 서일동로 31 (중부동)055-384-23270
266웅상보건지소경상남도 양산시 삼호로 164 (삼호동)<NA>0
267서창치과의원경상남도 양산시 삼호로 186 (삼호동)055-367-28750
268황치과의원경상남도 양산시 신기서길 31 (주공아파트상가 208호)055-385-67270
269박내과의원경상남도 양산시 북안남6길 12 (북부동)055-385-64819
270변치과의원경상남도 양산시 중앙로 172 (북부동)055-383-45670
271제생한의원경상남도 양산시 삼일로 85 (북부동)055-385-56880
272명성한의원경상남도 양산시 장동1길 6 (북부동)055-386-22280