Overview

Dataset statistics

Number of variables41
Number of observations22
Missing cells312
Missing cells (%)34.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.7 KiB
Average record size in memory360.0 B

Variable types

Categorical17
Text6
DateTime3
Unsupported12
Numeric3

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),의료기관종별명,의료인수,입원실수,병상수,총면적,진료과목내용,진료과목내용명,지정취소일자,완화의료지정형태,완화의료담당부서명,구급차특수,구급차일반,총인원,구조사수,허가병상수,최초지정일자
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-16256/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 22 (100.0%) missing valuesMissing
휴업시작일자 has 22 (100.0%) missing valuesMissing
휴업종료일자 has 22 (100.0%) missing valuesMissing
재개업일자 has 22 (100.0%) missing valuesMissing
전화번호 has 1 (4.5%) missing valuesMissing
소재지면적 has 22 (100.0%) missing valuesMissing
소재지우편번호 has 15 (68.2%) missing valuesMissing
도로명주소 has 8 (36.4%) missing valuesMissing
도로명우편번호 has 8 (36.4%) missing valuesMissing
업태구분명 has 22 (100.0%) missing valuesMissing
좌표정보(X) has 8 (36.4%) missing valuesMissing
좌표정보(Y) has 8 (36.4%) missing valuesMissing
지정취소일자 has 22 (100.0%) missing valuesMissing
완화의료지정형태 has 22 (100.0%) missing valuesMissing
완화의료담당부서명 has 22 (100.0%) missing valuesMissing
총인원 has 22 (100.0%) missing valuesMissing
구조사수 has 22 (100.0%) missing valuesMissing
최초지정일자 has 22 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지정취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
완화의료지정형태 is an unsupported type, check if it needs cleaning or further analysisUnsupported
완화의료담당부서명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
구조사수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초지정일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 08:13:54.405433
Analysis finished2024-05-11 08:13:55.269513
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
3180000
22 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3180000
2nd row3180000
3rd row3180000
4th row3180000
5th row3180000

Common Values

ValueCountFrequency (%)
3180000 22
100.0%

Length

2024-05-11T08:13:55.457791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:13:55.774945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3180000 22
100.0%

관리번호
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-05-11T08:13:56.217862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters550
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st rowPHMA320173180034041300001
2nd rowPHMA320223180034041300001
3rd rowPHMA320013180034041300001
4th rowPHMA320213180034041300001
5th rowPHMA319973180034041300001
ValueCountFrequency (%)
phma320173180034041300001 1
 
4.5%
phma320223180034041300001 1
 
4.5%
phma319843180034041300002 1
 
4.5%
phma319843180034041300001 1
 
4.5%
phma319803180034041300001 1
 
4.5%
phma319773180034041300002 1
 
4.5%
phma320143180034041300001 1
 
4.5%
phma319703180034041300001 1
 
4.5%
phma319003180034041300001 1
 
4.5%
phma320043180034041300001 1
 
4.5%
Other values (12) 12
54.5%
2024-05-11T08:13:57.085001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 179
32.5%
3 89
16.2%
1 78
14.2%
4 49
 
8.9%
8 25
 
4.5%
P 22
 
4.0%
H 22
 
4.0%
M 22
 
4.0%
A 22
 
4.0%
9 18
 
3.3%
Other values (3) 24
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 462
84.0%
Uppercase Letter 88
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 179
38.7%
3 89
19.3%
1 78
16.9%
4 49
 
10.6%
8 25
 
5.4%
9 18
 
3.9%
2 16
 
3.5%
7 7
 
1.5%
5 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
P 22
25.0%
H 22
25.0%
M 22
25.0%
A 22
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 462
84.0%
Latin 88
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 179
38.7%
3 89
19.3%
1 78
16.9%
4 49
 
10.6%
8 25
 
5.4%
9 18
 
3.9%
2 16
 
3.5%
7 7
 
1.5%
5 1
 
0.2%
Latin
ValueCountFrequency (%)
P 22
25.0%
H 22
25.0%
M 22
25.0%
A 22
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 550
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 179
32.5%
3 89
16.2%
1 78
14.2%
4 49
 
8.9%
8 25
 
4.5%
P 22
 
4.0%
H 22
 
4.0%
M 22
 
4.0%
A 22
 
4.0%
9 18
 
3.3%
Other values (3) 24
 
4.4%

인허가일자
Date

Distinct16
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum1900-01-01 00:00:00
Maximum2022-08-29 00:00:00
2024-05-11T08:13:57.471275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:13:57.887280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
1
13 
3
6 
4
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row3

Common Values

ValueCountFrequency (%)
1 13
59.1%
3 6
27.3%
4 3
 
13.6%

Length

2024-05-11T08:13:58.316686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:13:58.666572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 13
59.1%
3 6
27.3%
4 3
 
13.6%

영업상태명
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
영업/정상
13 
폐업
6 
취소/말소/만료/정지/중지
3 

Length

Max length14
Median length5
Mean length5.4090909
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row폐업

Common Values

ValueCountFrequency (%)
영업/정상 13
59.1%
폐업 6
27.3%
취소/말소/만료/정지/중지 3
 
13.6%

Length

2024-05-11T08:13:59.081892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:13:59.456537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 13
59.1%
폐업 6
27.3%
취소/말소/만료/정지/중지 3
 
13.6%

상세영업상태코드
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
13
13 
3
6 
24
3 

Length

Max length2
Median length2
Mean length1.7272727
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row13
3rd row13
4th row13
5th row3

Common Values

ValueCountFrequency (%)
13 13
59.1%
3 6
27.3%
24 3
 
13.6%

Length

2024-05-11T08:13:59.863500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:14:00.362469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 13
59.1%
3 6
27.3%
24 3
 
13.6%

상세영업상태명
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
영업중
13 
폐업
6 
직권폐업
3 

Length

Max length4
Median length3
Mean length2.8636364
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업중
2nd row영업중
3rd row영업중
4th row영업중
5th row폐업

Common Values

ValueCountFrequency (%)
영업중 13
59.1%
폐업 6
27.3%
직권폐업 3
 
13.6%

Length

2024-05-11T08:14:00.978745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:14:01.551417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 13
59.1%
폐업 6
27.3%
직권폐업 3
 
13.6%

폐업일자
Categorical

Distinct6
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
15 
20150424
2 
20150209
2 
20121022
 
1
20210701
 
1

Length

Max length8
Median length4
Mean length5.2727273
Min length4

Unique

Unique3 ?
Unique (%)13.6%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row20121022

Common Values

ValueCountFrequency (%)
<NA> 15
68.2%
20150424 2
 
9.1%
20150209 2
 
9.1%
20121022 1
 
4.5%
20210701 1
 
4.5%
20031006 1
 
4.5%

Length

2024-05-11T08:14:02.112319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:14:02.680679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
68.2%
20150424 2
 
9.1%
20150209 2
 
9.1%
20121022 1
 
4.5%
20210701 1
 
4.5%
20031006 1
 
4.5%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

전화번호
Text

MISSING 

Distinct14
Distinct (%)66.7%
Missing1
Missing (%)4.5%
Memory size308.0 B
2024-05-11T08:14:03.329427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.142857
Min length8

Characters and Unicode

Total characters234
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

Unique13 ?
Unique (%)61.9%

Sample

1st row02-2133-7493
2nd row02-2118-0018
3rd row02-788-3495
4th row02-2073-8720
5th row02-2076-4047
ValueCountFrequency (%)
02-2076-4047 8
38.1%
02-2133-7493 1
 
4.8%
02-2118-0018 1
 
4.8%
02-788-3495 1
 
4.8%
02-2073-8720 1
 
4.8%
788-2822 1
 
4.8%
02-789-8564 1
 
4.8%
788-2823 1
 
4.8%
027876412 1
 
4.8%
02-820-4195 1
 
4.8%
Other values (4) 4
19.0%
2024-05-11T08:14:05.198485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 41
17.5%
2 41
17.5%
- 37
15.8%
7 29
12.4%
4 21
9.0%
8 20
8.5%
6 11
 
4.7%
1 9
 
3.8%
3 9
 
3.8%
9 9
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 197
84.2%
Dash Punctuation 37
 
15.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 41
20.8%
2 41
20.8%
7 29
14.7%
4 21
10.7%
8 20
10.2%
6 11
 
5.6%
1 9
 
4.6%
3 9
 
4.6%
9 9
 
4.6%
5 7
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 234
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 41
17.5%
2 41
17.5%
- 37
15.8%
7 29
12.4%
4 21
9.0%
8 20
8.5%
6 11
 
4.7%
1 9
 
3.8%
3 9
 
3.8%
9 9
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 234
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 41
17.5%
2 41
17.5%
- 37
15.8%
7 29
12.4%
4 21
9.0%
8 20
8.5%
6 11
 
4.7%
1 9
 
3.8%
3 9
 
3.8%
9 9
 
3.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

소재지우편번호
Text

MISSING 

Distinct6
Distinct (%)85.7%
Missing15
Missing (%)68.2%
Memory size308.0 B
2024-05-11T08:14:05.826792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2857143
Min length6

Characters and Unicode

Total characters44
Distinct characters10
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

Unique5 ?
Unique (%)71.4%

Sample

1st row150-701
2nd row150758
3rd row150-896
4th row150743
5th row150873
ValueCountFrequency (%)
150996 2
28.6%
150-701 1
14.3%
150758 1
14.3%
150-896 1
14.3%
150743 1
14.3%
150873 1
14.3%
2024-05-11T08:14:06.926386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 8
18.2%
5 8
18.2%
0 8
18.2%
9 5
11.4%
7 4
9.1%
6 3
 
6.8%
8 3
 
6.8%
- 2
 
4.5%
3 2
 
4.5%
4 1
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 42
95.5%
Dash Punctuation 2
 
4.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 8
19.0%
5 8
19.0%
0 8
19.0%
9 5
11.9%
7 4
9.5%
6 3
 
7.1%
8 3
 
7.1%
3 2
 
4.8%
4 1
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 44
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 8
18.2%
5 8
18.2%
0 8
18.2%
9 5
11.4%
7 4
9.1%
6 3
 
6.8%
8 3
 
6.8%
- 2
 
4.5%
3 2
 
4.5%
4 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 8
18.2%
5 8
18.2%
0 8
18.2%
9 5
11.4%
7 4
9.1%
6 3
 
6.8%
8 3
 
6.8%
- 2
 
4.5%
3 2
 
4.5%
4 1
 
2.3%

지번주소
Text

Distinct20
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-05-11T08:14:07.527945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length28
Mean length22.727273
Min length7

Characters and Unicode

Total characters500
Distinct characters54
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)81.8%

Sample

1st row서울특별시 영등포구 영등포동2가 94번지 31호 1층
2nd row서울특별시 영등포구 여의도동 22 파크원
3rd row서울특별시 영등포구 여의도동 1번지
4th row서울특별시 영등포구 여의도동 45 KB국민은행 신관
5th row서울특별시 영등포구 영등포동2가 94-267
ValueCountFrequency (%)
영등포구 22
21.6%
서울특별시 20
19.6%
여의도동 14
13.7%
1호 4
 
3.9%
16번지 3
 
2.9%
신길동 2
 
2.0%
산 2
 
2.0%
159번지 2
 
2.0%
서울 2
 
2.0%
영등포동2가 2
 
2.0%
Other values (28) 29
28.4%
2024-05-11T08:14:08.442801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
93
18.6%
포 25
 
5.0%
등 25
 
5.0%
영 25
 
5.0%
구 22
 
4.4%
서 22
 
4.4%
울 22
 
4.4%
동 21
 
4.2%
시 20
 
4.0%
별 20
 
4.0%
Other values (44) 205
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 327
65.4%
Space Separator 93
 
18.6%
Decimal Number 71
 
14.2%
Dash Punctuation 7
 
1.4%
Uppercase Letter 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
포 25
 
7.6%
등 25
 
7.6%
영 25
 
7.6%
구 22
 
6.7%
서 22
 
6.7%
울 22
 
6.7%
동 21
 
6.4%
시 20
 
6.1%
별 20
 
6.1%
특 20
 
6.1%
Other values (30) 105
32.1%
Decimal Number
ValueCountFrequency (%)
1 19
26.8%
6 13
18.3%
2 10
14.1%
3 6
 
8.5%
5 5
 
7.0%
9 5
 
7.0%
4 5
 
7.0%
0 3
 
4.2%
8 3
 
4.2%
7 2
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
93
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 327
65.4%
Common 171
34.2%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
포 25
 
7.6%
등 25
 
7.6%
영 25
 
7.6%
구 22
 
6.7%
서 22
 
6.7%
울 22
 
6.7%
동 21
 
6.4%
시 20
 
6.1%
별 20
 
6.1%
특 20
 
6.1%
Other values (30) 105
32.1%
Common
ValueCountFrequency (%)
93
54.4%
1 19
 
11.1%
6 13
 
7.6%
2 10
 
5.8%
- 7
 
4.1%
3 6
 
3.5%
5 5
 
2.9%
9 5
 
2.9%
4 5
 
2.9%
0 3
 
1.8%
Other values (2) 5
 
2.9%
Latin
ValueCountFrequency (%)
K 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 327
65.4%
ASCII 173
34.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
93
53.8%
1 19
 
11.0%
6 13
 
7.5%
2 10
 
5.8%
- 7
 
4.0%
3 6
 
3.5%
5 5
 
2.9%
9 5
 
2.9%
4 5
 
2.9%
0 3
 
1.7%
Other values (4) 7
 
4.0%
Hangul
ValueCountFrequency (%)
포 25
 
7.6%
등 25
 
7.6%
영 25
 
7.6%
구 22
 
6.7%
서 22
 
6.7%
울 22
 
6.7%
동 21
 
6.4%
시 20
 
6.1%
별 20
 
6.1%
특 20
 
6.1%
Other values (30) 105
32.1%

도로명주소
Text

MISSING 

Distinct11
Distinct (%)78.6%
Missing8
Missing (%)36.4%
Memory size308.0 B
2024-05-11T08:14:08.867486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length37
Mean length30.642857
Min length24

Characters and Unicode

Total characters429
Distinct characters61
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

Unique8 ?
Unique (%)57.1%

Sample

1st row서울특별시 영등포구 버드나루로 24, 1층 (영등포동2가, 보현의집)
2nd row서울특별시 영등포구 여의대로 108, 파크원 2층 (여의도동)
3rd row서울특별시 영등포구 의사당대로 1 (여의도동)
4th row서울특별시 영등포구 의사당대로 141, KB국민은행 신관 23층 (여의도동)
5th row서울특별시 영등포구 국제금융로8길 26 (여의도동)
ValueCountFrequency (%)
서울특별시 14
16.9%
영등포구 14
16.9%
여의도동 11
13.3%
의사당대로 4
 
4.8%
1 3
 
3.6%
38 3
 
3.6%
은행로 3
 
3.6%
서울지방병무청 2
 
2.4%
여의대로 2
 
2.4%
신길동 2
 
2.4%
Other values (23) 25
30.1%
2024-05-11T08:14:09.968320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
69
 
16.1%
의 20
 
4.7%
서 16
 
3.7%
울 16
 
3.7%
동 15
 
3.5%
영 15
 
3.5%
등 15
 
3.5%
포 15
 
3.5%
여 15
 
3.5%
로 14
 
3.3%
Other values (51) 219
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 279
65.0%
Space Separator 69
 
16.1%
Decimal Number 43
 
10.0%
Close Punctuation 14
 
3.3%
Open Punctuation 14
 
3.3%
Other Punctuation 8
 
1.9%
Uppercase Letter 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 20
 
7.2%
서 16
 
5.7%
울 16
 
5.7%
동 15
 
5.4%
영 15
 
5.4%
등 15
 
5.4%
포 15
 
5.4%
여 15
 
5.4%
로 14
 
5.0%
구 14
 
5.0%
Other values (37) 124
44.4%
Decimal Number
ValueCountFrequency (%)
1 10
23.3%
3 10
23.3%
2 7
16.3%
8 6
14.0%
4 4
 
9.3%
0 3
 
7.0%
6 2
 
4.7%
5 1
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
69
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 279
65.0%
Common 148
34.5%
Latin 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 20
 
7.2%
서 16
 
5.7%
울 16
 
5.7%
동 15
 
5.4%
영 15
 
5.4%
등 15
 
5.4%
포 15
 
5.4%
여 15
 
5.4%
로 14
 
5.0%
구 14
 
5.0%
Other values (37) 124
44.4%
Common
ValueCountFrequency (%)
69
46.6%
) 14
 
9.5%
( 14
 
9.5%
1 10
 
6.8%
3 10
 
6.8%
, 8
 
5.4%
2 7
 
4.7%
8 6
 
4.1%
4 4
 
2.7%
0 3
 
2.0%
Other values (2) 3
 
2.0%
Latin
ValueCountFrequency (%)
B 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 279
65.0%
ASCII 150
35.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
69
46.0%
) 14
 
9.3%
( 14
 
9.3%
1 10
 
6.7%
3 10
 
6.7%
, 8
 
5.3%
2 7
 
4.7%
8 6
 
4.0%
4 4
 
2.7%
0 3
 
2.0%
Other values (4) 5
 
3.3%
Hangul
ValueCountFrequency (%)
의 20
 
7.2%
서 16
 
5.7%
울 16
 
5.7%
동 15
 
5.4%
영 15
 
5.4%
등 15
 
5.4%
포 15
 
5.4%
여 15
 
5.4%
로 14
 
5.0%
구 14
 
5.0%
Other values (37) 124
44.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)64.3%
Missing8
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean7290.2143
Minimum7233
Maximum7360
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T08:14:10.452515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7233
5-th percentile7233
Q17242
median7287.5
Q37334.25
95-th percentile7360
Maximum7360
Range127
Interquartile range (IQR)92.25

Descriptive statistics

Standard deviation53.500796
Coefficient of variation (CV)0.0073387138
Kurtosis-2.0894194
Mean7290.2143
Median Absolute Deviation (MAD)46.5
Skewness0.092808962
Sum102063
Variance2862.3352
MonotonicityNot monotonic
2024-05-11T08:14:11.013304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
7233 3
 
13.6%
7242 3
 
13.6%
7360 2
 
9.1%
7254 1
 
4.5%
7335 1
 
4.5%
7332 1
 
4.5%
7331 1
 
4.5%
7345 1
 
4.5%
7321 1
 
4.5%
(Missing) 8
36.4%
ValueCountFrequency (%)
7233 3
13.6%
7242 3
13.6%
7254 1
 
4.5%
7321 1
 
4.5%
7331 1
 
4.5%
7332 1
 
4.5%
7335 1
 
4.5%
7345 1
 
4.5%
7360 2
9.1%
ValueCountFrequency (%)
7360 2
9.1%
7345 1
 
4.5%
7335 1
 
4.5%
7332 1
 
4.5%
7331 1
 
4.5%
7321 1
 
4.5%
7254 1
 
4.5%
7242 3
13.6%
7233 3
13.6%

사업장명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-05-11T08:14:11.508682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length11.363636
Min length6

Characters and Unicode

Total characters250
Distinct characters84
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row영등포보현의집 부속의원
2nd row엘지에너지솔루션부속의원
3rd row국회사무처부속의원
4th row국민은행 본점 부속의원
5th row근로복지공단
ValueCountFrequency (%)
부속의원 3
 
11.5%
영등포보현의집 1
 
3.8%
한국주택은행부속치과의원 1
 
3.8%
한국주택은행부속의원 1
 
3.8%
한국수출입은행부속치과의원 1
 
3.8%
한국수출입은행부속의원 1
 
3.8%
국회사무처부속한의원 1
 
3.8%
서울지방병무청 1
 
3.8%
병무청중앙신체검사소 1
 
3.8%
한국산업은행부속치과의원 1
 
3.8%
Other values (14) 14
53.8%
2024-05-11T08:14:12.632801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 21
 
8.4%
의 20
 
8.0%
부 19
 
7.6%
속 18
 
7.2%
국 11
 
4.4%
한 9
 
3.6%
행 7
 
2.8%
사 7
 
2.8%
은 7
 
2.8%
치 7
 
2.8%
Other values (74) 124
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 240
96.0%
Space Separator 4
 
1.6%
Close Punctuation 3
 
1.2%
Open Punctuation 3
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 21
 
8.8%
의 20
 
8.3%
부 19
 
7.9%
속 18
 
7.5%
국 11
 
4.6%
한 9
 
3.8%
행 7
 
2.9%
사 7
 
2.9%
은 7
 
2.9%
치 7
 
2.9%
Other values (71) 114
47.5%
Space Separator
ValueCountFrequency (%)
4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 240
96.0%
Common 10
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 21
 
8.8%
의 20
 
8.3%
부 19
 
7.9%
속 18
 
7.5%
국 11
 
4.6%
한 9
 
3.8%
행 7
 
2.9%
사 7
 
2.9%
은 7
 
2.9%
치 7
 
2.9%
Other values (71) 114
47.5%
Common
ValueCountFrequency (%)
4
40.0%
) 3
30.0%
( 3
30.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 240
96.0%
ASCII 10
 
4.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 21
 
8.8%
의 20
 
8.3%
부 19
 
7.9%
속 18
 
7.5%
국 11
 
4.6%
한 9
 
3.8%
행 7
 
2.9%
사 7
 
2.9%
은 7
 
2.9%
치 7
 
2.9%
Other values (71) 114
47.5%
ASCII
ValueCountFrequency (%)
4
40.0%
) 3
30.0%
( 3
30.0%

최종수정일자
Date

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2008-12-18 18:44:32
Maximum2024-04-05 06:13:21
2024-05-11T08:14:13.067523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:14:13.419978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

데이터갱신구분
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
I
12 
U
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowU
2nd rowU
3rd rowU
4th rowU
5th rowI

Common Values

ValueCountFrequency (%)
I 12
54.5%
U 10
45.5%

Length

2024-05-11T08:14:13.802310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:14:14.098351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 12
54.5%
u 10
45.5%

데이터갱신일자
Date

Distinct11
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:07:00
2024-05-11T08:14:14.464755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:14:14.888611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)71.4%
Missing8
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean193043.75
Minimum192208.25
Maximum194632.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T08:14:15.262121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum192208.25
5-th percentile192365.99
Q1192517.43
median193007.99
Q3193417.32
95-th percentile193956.18
Maximum194632.53
Range2424.2812
Interquartile range (IQR)899.88849

Descriptive statistics

Standard deviation638.20946
Coefficient of variation (CV)0.0033060354
Kurtosis1.6591334
Mean193043.75
Median Absolute Deviation (MAD)521.41115
Skewness1.0809314
Sum2702612.5
Variance407311.31
MonotonicityNot monotonic
2024-05-11T08:14:15.740047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
192450.93552236 3
 
13.6%
192716.932289278 2
 
9.1%
193159.124448371 2
 
9.1%
192208.24514318 1
 
4.5%
193592.000380036 1
 
4.5%
193503.389449662 1
 
4.5%
193555.404623589 1
 
4.5%
194632.526367463 1
 
4.5%
192976.019743053 1
 
4.5%
193039.952033563 1
 
4.5%
(Missing) 8
36.4%
ValueCountFrequency (%)
192208.24514318 1
 
4.5%
192450.93552236 3
13.6%
192716.932289278 2
9.1%
192976.019743053 1
 
4.5%
193039.952033563 1
 
4.5%
193159.124448371 2
9.1%
193503.389449662 1
 
4.5%
193555.404623589 1
 
4.5%
193592.000380036 1
 
4.5%
194632.526367463 1
 
4.5%
ValueCountFrequency (%)
194632.526367463 1
 
4.5%
193592.000380036 1
 
4.5%
193555.404623589 1
 
4.5%
193503.389449662 1
 
4.5%
193159.124448371 2
9.1%
193039.952033563 1
 
4.5%
192976.019743053 1
 
4.5%
192716.932289278 2
9.1%
192450.93552236 3
13.6%
192208.24514318 1
 
4.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)71.4%
Missing8
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean446730.42
Minimum444779.98
Maximum447649.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T08:14:16.240432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum444779.98
5-th percentile444779.98
Q1446431
median446926.87
Q3447376.61
95-th percentile447649.48
Maximum447649.48
Range2869.4968
Interquartile range (IQR)945.60276

Descriptive statistics

Standard deviation950.40059
Coefficient of variation (CV)0.0021274589
Kurtosis0.8957629
Mean446730.42
Median Absolute Deviation (MAD)487.33964
Skewness-1.2396031
Sum6254225.9
Variance903261.27
MonotonicityNot monotonic
2024-05-11T08:14:17.055649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
447649.476828035 3
 
13.6%
444779.980000876 2
 
9.1%
447376.605815263 2
 
9.1%
446551.561824407 1
 
4.5%
447092.629432527 1
 
4.5%
446354.660316797 1
 
4.5%
446518.232651645 1
 
4.5%
446401.926526228 1
 
4.5%
446761.108856206 1
 
4.5%
447284.13571441 1
 
4.5%
(Missing) 8
36.4%
ValueCountFrequency (%)
444779.980000876 2
9.1%
446354.660316797 1
 
4.5%
446401.926526228 1
 
4.5%
446518.232651645 1
 
4.5%
446551.561824407 1
 
4.5%
446761.108856206 1
 
4.5%
447092.629432527 1
 
4.5%
447284.13571441 1
 
4.5%
447376.605815263 2
9.1%
447649.476828035 3
13.6%
ValueCountFrequency (%)
447649.476828035 3
13.6%
447376.605815263 2
9.1%
447284.13571441 1
 
4.5%
447092.629432527 1
 
4.5%
446761.108856206 1
 
4.5%
446551.561824407 1
 
4.5%
446518.232651645 1
 
4.5%
446401.926526228 1
 
4.5%
446354.660316797 1
 
4.5%
444779.980000876 2
9.1%

의료기관종별명
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
부속의원
13 
<NA>
7 
병무청
2 

Length

Max length4
Median length4
Mean length3.9090909
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row부속의원

Common Values

ValueCountFrequency (%)
부속의원 13
59.1%
<NA> 7
31.8%
병무청 2
 
9.1%

Length

2024-05-11T08:14:17.471814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:14:17.823464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부속의원 13
59.1%
na 7
31.8%
병무청 2
 
9.1%

의료인수
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
1
13 
<NA>
7 
0
2 

Length

Max length4
Median length1
Mean length1.9545455
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
1 13
59.1%
<NA> 7
31.8%
0 2
 
9.1%

Length

2024-05-11T08:14:18.274352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:14:18.641868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 13
59.1%
na 7
31.8%
0 2
 
9.1%

입원실수
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
15 
<NA>
7 

Length

Max length4
Median length1
Mean length1.9545455
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
0 15
68.2%
<NA> 7
31.8%

Length

2024-05-11T08:14:19.113437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:14:19.505131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 15
68.2%
na 7
31.8%

병상수
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
15 
<NA>
7 

Length

Max length4
Median length1
Mean length1.9545455
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
0 15
68.2%
<NA> 7
31.8%

Length

2024-05-11T08:14:19.862212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:14:20.207310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 15
68.2%
na 7
31.8%

총면적
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
14 
<NA>
7 
53
 
1

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
0 14
63.6%
<NA> 7
31.8%
53 1
 
4.5%

Length

2024-05-11T08:14:20.781343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:14:21.295017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 14
63.6%
na 7
31.8%
53 1
 
4.5%

진료과목내용
Categorical

Distinct5
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Memory size308.0 B
101
11 
<NA>
7 
401
2 
411 408
 
1
411 410 409 408 407 406 405 404 403 402
 
1

Length

Max length39
Median length3
Mean length5.1363636
Min length3

Unique

Unique2 ?
Unique (%)9.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row101

Common Values

ValueCountFrequency (%)
101 11
50.0%
<NA> 7
31.8%
401 2
 
9.1%
411 408 1
 
4.5%
411 410 409 408 407 406 405 404 403 402 1
 
4.5%

Length

2024-05-11T08:14:21.684197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:14:22.058782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
101 11
34.4%
na 7
21.9%
401 2
 
6.2%
411 2
 
6.2%
408 2
 
6.2%
410 1
 
3.1%
409 1
 
3.1%
407 1
 
3.1%
406 1
 
3.1%
405 1
 
3.1%
Other values (3) 3
 
9.4%

진료과목내용명
Categorical

Distinct5
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Memory size308.0 B
내과
11 
<NA>
7 
치과
2 
구강내과, 예방치과
 
1
구강악안면외과, 치과보철과, 치과교정과, 소아치과, 치주과, 치과보존과, 구강내과, 영상치의학과, 구강병리과, 예방치과
 
1

Length

Max length66
Median length2
Mean length5.9090909
Min length2

Unique

Unique2 ?
Unique (%)9.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row내과

Common Values

ValueCountFrequency (%)
내과 11
50.0%
<NA> 7
31.8%
치과 2
 
9.1%
구강내과, 예방치과 1
 
4.5%
구강악안면외과, 치과보철과, 치과교정과, 소아치과, 치주과, 치과보존과, 구강내과, 영상치의학과, 구강병리과, 예방치과 1
 
4.5%

Length

2024-05-11T08:14:22.549855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:14:22.907869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
내과 11
34.4%
na 7
21.9%
치과 2
 
6.2%
구강내과 2
 
6.2%
예방치과 2
 
6.2%
구강악안면외과 1
 
3.1%
치과보철과 1
 
3.1%
치과교정과 1
 
3.1%
소아치과 1
 
3.1%
치주과 1
 
3.1%
Other values (3) 3
 
9.4%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

구급차특수
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
15 
<NA>
7 

Length

Max length4
Median length1
Mean length1.9545455
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
0 15
68.2%
<NA> 7
31.8%

Length

2024-05-11T08:14:23.353007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:14:23.773665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 15
68.2%
na 7
31.8%

구급차일반
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
15 
<NA>
7 

Length

Max length4
Median length1
Mean length1.9545455
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
0 15
68.2%
<NA> 7
31.8%

Length

2024-05-11T08:14:24.140191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:14:24.523329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 15
68.2%
na 7
31.8%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

허가병상수
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
15 
<NA>
7 

Length

Max length4
Median length1
Mean length1.9545455
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
0 15
68.2%
<NA> 7
31.8%

Length

2024-05-11T08:14:24.962929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:14:25.307786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 15
68.2%
na 7
31.8%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03180000PHMA3201731800340413000012017-03-16<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2133-7493<NA><NA>서울특별시 영등포구 영등포동2가 94번지 31호 1층서울특별시 영등포구 버드나루로 24, 1층 (영등포동2가, 보현의집)7254영등포보현의집 부속의원2023-04-06 22:43:19U2022-12-04 00:08:00.0<NA>192208.245143446551.561824<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13180000PHMA3202231800340413000012022-08-29<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2118-0018<NA><NA>서울특별시 영등포구 여의도동 22 파크원서울특별시 영등포구 여의대로 108, 파크원 2층 (여의도동)7335엘지에너지솔루션부속의원2023-06-22 22:13:21U2022-12-05 22:04:00.0<NA>193592.00038447092.629433<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23180000PHMA3200131800340413000012000-10-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-788-3495<NA>150-701서울특별시 영등포구 여의도동 1번지서울특별시 영등포구 의사당대로 1 (여의도동)7233국회사무처부속의원2023-05-26 00:43:19U2022-12-04 22:08:00.0<NA>192450.935522447649.476828<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33180000PHMA32021318003404130000120210709<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2073-8720<NA><NA>서울특별시 영등포구 여의도동 45 KB국민은행 신관서울특별시 영등포구 의사당대로 141, KB국민은행 신관 23층 (여의도동)7332국민은행 본점 부속의원2022-05-17 10:26:32U2021-12-04 23:09:00.0<NA>193503.38945446354.660317<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43180000PHMA31997318003404130000119971008<NA>3폐업3폐업20121022<NA><NA><NA>02-2076-4047<NA><NA>서울특별시 영등포구 영등포동2가 94-267<NA><NA>근로복지공단2012-10-22 15:39:19I2018-08-31 23:59:59.0<NA><NA><NA>부속의원1000101내과<NA><NA><NA>00<NA><NA>0<NA>
53180000PHMA32000318003404130000120001026<NA>3폐업3폐업20210701<NA><NA><NA>788-2822<NA>150758서울특별시 영등포구 여의도동 36번지 3호서울특별시 영등포구 국제금융로8길 26 (여의도동)7331국민은행부속치과의원2021-06-30 09:27:13U2021-07-02 02:40:00.0<NA>193555.404624446518.232652부속의원10053411 408구강내과, 예방치과<NA><NA><NA>00<NA><NA>0<NA>
63180000PHMA31900318003404130000219000101<NA>3폐업3폐업<NA><NA><NA><NA>02-2076-4047<NA><NA>서울특별시 영등포구 영등포동 618-496<NA><NA>롯데역사(주)부속의원2008-12-18 18:44:32I2018-08-31 23:59:59.0<NA><NA><NA>부속의원0000101내과<NA><NA><NA>00<NA><NA>0<NA>
73180000PHMA31900318003404130000319000101<NA>3폐업3폐업<NA><NA><NA><NA>02-2076-4047<NA><NA>서울특별시 영등포구 문래동6가 8-0<NA><NA>제일화재부속의원2008-12-18 18:44:32I2018-08-31 23:59:59.0<NA><NA><NA>부속의원0000101내과<NA><NA><NA>00<NA><NA>0<NA>
83180000PHMA31900318003404130000419000101<NA>3폐업3폐업20031006<NA><NA><NA>02-2076-4047<NA><NA>서울특별시 영등포구 여의도동 알리안츠타워6층 45-21<NA><NA>알리안츠제일생명보험(주)부속의원2015-04-24 10:09:57I2018-08-31 23:59:59.0<NA><NA><NA>부속의원1000101내과<NA><NA><NA>00<NA><NA>0<NA>
93180000PHMA31977318003404130000119770328<NA>3폐업3폐업20150424<NA><NA><NA>02-2076-4047<NA><NA>서울특별시 영등포구 당산동6가 121-150<NA><NA>대한결핵협회결핵연구원부설복십자의원2015-04-24 10:05:09I2018-08-31 23:59:59.0<NA><NA><NA>부속의원1000101내과<NA><NA><NA>00<NA><NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
123180000PHMA32001318003404130000220010725<NA>1영업/정상13영업중<NA><NA><NA><NA>788-2823<NA><NA>서울 영등포구 여의도동 1서울특별시 영등포구 의사당대로 1 (여의도동)7233국회사무처부속치과의원2017-09-05 18:39:17I2018-08-31 23:59:59.0<NA>192450.935522447649.476828부속의원1000401치과<NA><NA><NA>00<NA><NA>0<NA>
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173180000PHMA31977318003404130000219771206<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3779-6895<NA>150996서울특별시 영등포구 여의도동 16번지 1호서울특별시 영등포구 은행로 38 (여의도동)7242한국수출입은행부속의원2019-05-24 11:02:35U2019-05-26 02:40:00.0<NA>193159.124448447376.605815부속의원1000101내과<NA><NA><NA>00<NA><NA>0<NA>
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