Overview

Dataset statistics

Number of variables31
Number of observations330
Missing cells4313
Missing cells (%)42.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory87.1 KiB
Average record size in memory270.4 B

Variable types

Categorical10
Text6
DateTime1
Unsupported10
Numeric4

Alerts

영업상태구분코드 is highly imbalanced (57.7%)Imbalance
인허가취소일자 has 330 (100.0%) missing valuesMissing
소재지시설전화번호 has 278 (84.2%) missing valuesMissing
소재지면적정보 has 330 (100.0%) missing valuesMissing
도로명우편번호 has 252 (76.4%) missing valuesMissing
소재지도로명주소 has 16 (4.8%) missing valuesMissing
WGS84위도 has 14 (4.2%) missing valuesMissing
WGS84경도 has 14 (4.2%) missing valuesMissing
업태구분명정보 has 330 (100.0%) missing valuesMissing
X좌표값 has 218 (66.1%) missing valuesMissing
Y좌표값 has 218 (66.1%) missing valuesMissing
의료기관종별명 has 330 (100.0%) missing valuesMissing
완화의료지정형태 has 330 (100.0%) missing valuesMissing
완화의료담당부서명 has 330 (100.0%) missing valuesMissing
총종업원수 has 330 (100.0%) missing valuesMissing
구조사수 has 330 (100.0%) missing valuesMissing
최초지정일자 has 330 (100.0%) missing valuesMissing
지정취소일자 has 330 (100.0%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의료기관종별명 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
총종업원수 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
지정취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 21:06:31.604141
Analysis finished2023-12-10 21:06:32.257705
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct29
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
파주시
29 
수원시
24 
시흥시
24 
용인시
22 
고양시
22 
Other values (24)
209 

Length

Max length4
Median length3
Mean length3.0606061
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가평군
2nd row가평군
3rd row가평군
4th row고양시
5th row고양시

Common Values

ValueCountFrequency (%)
파주시 29
 
8.8%
수원시 24
 
7.3%
시흥시 24
 
7.3%
용인시 22
 
6.7%
고양시 22
 
6.7%
화성시 20
 
6.1%
안산시 18
 
5.5%
성남시 16
 
4.8%
안성시 16
 
4.8%
부천시 15
 
4.5%
Other values (19) 124
37.6%

Length

2023-12-11T06:06:32.324798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
파주시 29
 
8.8%
시흥시 24
 
7.3%
수원시 24
 
7.3%
용인시 22
 
6.7%
고양시 22
 
6.7%
화성시 20
 
6.1%
안산시 18
 
5.5%
성남시 16
 
4.8%
안성시 16
 
4.8%
부천시 15
 
4.5%
Other values (19) 124
37.6%

사업장명
Text

Distinct238
Distinct (%)72.1%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-11T06:06:32.578401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length10.209091
Min length4

Characters and Unicode

Total characters3369
Distinct characters215
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

Unique146 ?
Unique (%)44.2%

Sample

1st row의료법인청운의료재단
2nd row의료법인청운의료재단
3rd row의료법인청심의료재단
4th row의료법인 사과나무의료재단
5th row의료법인대신의료재단
ValueCountFrequency (%)
의료법인 177
33.3%
의료재단 18
 
3.4%
효산의료재단 4
 
0.8%
의료법인청운의료재단 2
 
0.4%
광성의료재단 2
 
0.4%
메디피아 2
 
0.4%
의료법인선호의료재단 2
 
0.4%
의료법인술이홀의료재단 2
 
0.4%
소애의료재단 2
 
0.4%
효심의료재단 2
 
0.4%
Other values (229) 318
59.9%
2023-12-11T06:06:33.087605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 586
17.4%
료 579
17.2%
재 319
9.5%
단 319
9.5%
인 283
 
8.4%
법 267
 
7.9%
203
 
6.0%
성 29
 
0.9%
원 21
 
0.6%
산 20
 
0.6%
Other values (205) 743
22.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3156
93.7%
Space Separator 203
 
6.0%
Open Punctuation 5
 
0.1%
Close Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 586
18.6%
료 579
18.3%
재 319
10.1%
단 319
10.1%
인 283
 
9.0%
법 267
 
8.5%
성 29
 
0.9%
원 21
 
0.7%
산 20
 
0.6%
효 17
 
0.5%
Other values (202) 716
22.7%
Space Separator
ValueCountFrequency (%)
203
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3154
93.6%
Common 213
 
6.3%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 586
18.6%
료 579
18.4%
재 319
10.1%
단 319
10.1%
인 283
 
9.0%
법 267
 
8.5%
성 29
 
0.9%
원 21
 
0.7%
산 20
 
0.6%
효 17
 
0.5%
Other values (200) 714
22.6%
Common
ValueCountFrequency (%)
203
95.3%
( 5
 
2.3%
) 5
 
2.3%
Han
ValueCountFrequency (%)
聖 1
50.0%
母 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3154
93.6%
ASCII 213
 
6.3%
CJK 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 586
18.6%
료 579
18.4%
재 319
10.1%
단 319
10.1%
인 283
 
9.0%
법 267
 
8.5%
성 29
 
0.9%
원 21
 
0.7%
산 20
 
0.6%
효 17
 
0.5%
Other values (200) 714
22.6%
ASCII
ValueCountFrequency (%)
203
95.3%
( 5
 
2.3%
) 5
 
2.3%
CJK
ValueCountFrequency (%)
聖 1
50.0%
母 1
50.0%

인허가일자
Date

Distinct211
Distinct (%)63.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum1975-09-06 00:00:00
Maximum2023-02-23 00:00:00
2023-12-11T06:06:33.266235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:33.438244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing330
Missing (%)100.0%
Memory size3.0 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
214 
10
109 
13
 
2
3
 
2
24
 
2

Length

Max length4
Median length4
Mean length3.2878788
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row10
2nd row<NA>
3rd row<NA>
4th row10
5th row10

Common Values

ValueCountFrequency (%)
<NA> 214
64.8%
10 109
33.0%
13 2
 
0.6%
3 2
 
0.6%
24 2
 
0.6%
2 1
 
0.3%

Length

2023-12-11T06:06:33.628191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:06:33.753569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 214
64.8%
10 109
33.0%
13 2
 
0.6%
3 2
 
0.6%
24 2
 
0.6%
2 1
 
0.3%

영업상태명
Categorical

Distinct7
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
운영중
189 
변경
109 
폐업 등
25 
영업중
 
2
폐업
 
2
Other values (2)
 
3

Length

Max length4
Median length3
Mean length2.7424242
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row변경
2nd row운영중
3rd row운영중
4th row변경
5th row변경

Common Values

ValueCountFrequency (%)
운영중 189
57.3%
변경 109
33.0%
폐업 등 25
 
7.6%
영업중 2
 
0.6%
폐업 2
 
0.6%
직권폐업 2
 
0.6%
휴업 1
 
0.3%

Length

2023-12-11T06:06:33.891545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:06:34.014263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 189
53.2%
변경 109
30.7%
폐업 27
 
7.6%
등 25
 
7.0%
영업중 2
 
0.6%
직권폐업 2
 
0.6%
휴업 1
 
0.3%

소재지시설전화번호
Text

MISSING 

Distinct51
Distinct (%)98.1%
Missing278
Missing (%)84.2%
Memory size2.7 KiB
2023-12-11T06:06:34.274894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.153846
Min length8

Characters and Unicode

Total characters580
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)96.2%

Sample

1st row903-8275
2nd row031-930-3114
3rd row810-5114
4th row903-8275
5th row032-224-0010
ValueCountFrequency (%)
903-8275 2
 
3.8%
424-4091 1
 
1.9%
031-310-6633 1
 
1.9%
031-315-9977 1
 
1.9%
031-433-8577 1
 
1.9%
031-432-2600 1
 
1.9%
031)412-3000 1
 
1.9%
031-401-0454 1
 
1.9%
031-8040-5527 1
 
1.9%
031-677-2613 1
 
1.9%
Other values (41) 41
78.8%
2023-12-11T06:06:34.737736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 90
15.5%
0 86
14.8%
3 77
13.3%
1 77
13.3%
2 52
9.0%
7 45
7.8%
4 35
 
6.0%
9 32
 
5.5%
5 31
 
5.3%
6 30
 
5.2%
Other values (2) 25
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 489
84.3%
Dash Punctuation 90
 
15.5%
Close Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 86
17.6%
3 77
15.7%
1 77
15.7%
2 52
10.6%
7 45
9.2%
4 35
7.2%
9 32
 
6.5%
5 31
 
6.3%
6 30
 
6.1%
8 24
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 90
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 580
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 90
15.5%
0 86
14.8%
3 77
13.3%
1 77
13.3%
2 52
9.0%
7 45
7.8%
4 35
 
6.0%
9 32
 
5.5%
5 31
 
5.3%
6 30
 
5.2%
Other values (2) 25
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 580
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 90
15.5%
0 86
14.8%
3 77
13.3%
1 77
13.3%
2 52
9.0%
7 45
7.8%
4 35
 
6.0%
9 32
 
5.5%
5 31
 
5.3%
6 30
 
5.2%
Other values (2) 25
 
4.3%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing330
Missing (%)100.0%
Memory size3.0 KiB

도로명우편번호
Text

MISSING 

Distinct78
Distinct (%)100.0%
Missing252
Missing (%)76.4%
Memory size2.7 KiB
2023-12-11T06:06:35.048992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.9487179
Min length5

Characters and Unicode

Total characters464
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

Unique78 ?
Unique (%)100.0%

Sample

1st row10387
2nd row10302
3rd row10518
4th row423-711
5th row14316
ValueCountFrequency (%)
463-824 1
 
1.3%
10915 1
 
1.3%
480-862 1
 
1.3%
16062 1
 
1.3%
437-822 1
 
1.3%
16875 1
 
1.3%
446-512 1
 
1.3%
17043 1
 
1.3%
448-506 1
 
1.3%
469-854 1
 
1.3%
Other values (68) 68
87.2%
2023-12-11T06:06:35.561265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 72
15.5%
4 68
14.7%
2 46
9.9%
0 45
9.7%
8 42
9.1%
5 38
8.2%
3 37
8.0%
- 37
8.0%
6 32
6.9%
7 26
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 427
92.0%
Dash Punctuation 37
 
8.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 72
16.9%
4 68
15.9%
2 46
10.8%
0 45
10.5%
8 42
9.8%
5 38
8.9%
3 37
8.7%
6 32
7.5%
7 26
 
6.1%
9 21
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 464
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 72
15.5%
4 68
14.7%
2 46
9.9%
0 45
9.7%
8 42
9.1%
5 38
8.2%
3 37
8.0%
- 37
8.0%
6 32
6.9%
7 26
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 464
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 72
15.5%
4 68
14.7%
2 46
9.9%
0 45
9.7%
8 42
9.1%
5 38
8.2%
3 37
8.0%
- 37
8.0%
6 32
6.9%
7 26
 
5.6%

소재지도로명주소
Text

MISSING 

Distinct224
Distinct (%)71.3%
Missing16
Missing (%)4.8%
Memory size2.7 KiB
2023-12-11T06:06:35.851143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length43
Mean length26.974522
Min length16

Characters and Unicode

Total characters8470
Distinct characters272
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

Unique134 ?
Unique (%)42.7%

Sample

1st row경기도 가평군 설악면 미사리로 267-177
2nd row경기도 고양시 일산서구 중앙로 1450, 사과나무치과병원 (주엽동)
3rd row경기도 고양시 일산동구 호수로 646-24 (장항동)
4th row경기도 고양시 일산동구 무궁화로 346 (풍동)
5th row경기도 고양시 덕양구 중앙로 555(행신동)
ValueCountFrequency (%)
경기도 314
 
17.4%
파주시 29
 
1.6%
수원시 24
 
1.3%
시흥시 24
 
1.3%
고양시 22
 
1.2%
용인시 21
 
1.2%
안산시 18
 
1.0%
안성시 16
 
0.9%
성남시 16
 
0.9%
평택시 15
 
0.8%
Other values (660) 1305
72.3%
2023-12-11T06:06:36.313517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1492
 
17.6%
시 334
 
3.9%
경 328
 
3.9%
기 328
 
3.9%
도 323
 
3.8%
로 299
 
3.5%
1 290
 
3.4%
동 253
 
3.0%
) 223
 
2.6%
( 223
 
2.6%
Other values (262) 4377
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4911
58.0%
Space Separator 1492
 
17.6%
Decimal Number 1394
 
16.5%
Close Punctuation 223
 
2.6%
Open Punctuation 223
 
2.6%
Other Punctuation 127
 
1.5%
Dash Punctuation 77
 
0.9%
Uppercase Letter 13
 
0.2%
Math Symbol 9
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 334
 
6.8%
경 328
 
6.7%
기 328
 
6.7%
도 323
 
6.6%
로 299
 
6.1%
동 253
 
5.2%
구 113
 
2.3%
길 113
 
2.3%
양 92
 
1.9%
번 88
 
1.8%
Other values (238) 2640
53.8%
Decimal Number
ValueCountFrequency (%)
1 290
20.8%
3 181
13.0%
2 164
11.8%
5 131
9.4%
4 127
9.1%
6 124
8.9%
0 117
8.4%
7 99
 
7.1%
9 82
 
5.9%
8 79
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
N 2
15.4%
B 2
15.4%
Y 2
15.4%
T 2
15.4%
I 2
15.4%
C 2
15.4%
A 1
7.7%
Space Separator
ValueCountFrequency (%)
1492
100.0%
Close Punctuation
ValueCountFrequency (%)
) 223
100.0%
Open Punctuation
ValueCountFrequency (%)
( 223
100.0%
Other Punctuation
ValueCountFrequency (%)
, 127
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 77
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4911
58.0%
Common 3545
41.9%
Latin 14
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 334
 
6.8%
경 328
 
6.7%
기 328
 
6.7%
도 323
 
6.6%
로 299
 
6.1%
동 253
 
5.2%
구 113
 
2.3%
길 113
 
2.3%
양 92
 
1.9%
번 88
 
1.8%
Other values (238) 2640
53.8%
Common
ValueCountFrequency (%)
1492
42.1%
1 290
 
8.2%
) 223
 
6.3%
( 223
 
6.3%
3 181
 
5.1%
2 164
 
4.6%
5 131
 
3.7%
, 127
 
3.6%
4 127
 
3.6%
6 124
 
3.5%
Other values (6) 463
 
13.1%
Latin
ValueCountFrequency (%)
N 2
14.3%
B 2
14.3%
Y 2
14.3%
T 2
14.3%
I 2
14.3%
C 2
14.3%
Ⅲ 1
7.1%
A 1
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4911
58.0%
ASCII 3558
42.0%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1492
41.9%
1 290
 
8.2%
) 223
 
6.3%
( 223
 
6.3%
3 181
 
5.1%
2 164
 
4.6%
5 131
 
3.7%
, 127
 
3.6%
4 127
 
3.6%
6 124
 
3.5%
Other values (13) 476
 
13.4%
Hangul
ValueCountFrequency (%)
시 334
 
6.8%
경 328
 
6.7%
기 328
 
6.7%
도 323
 
6.6%
로 299
 
6.1%
동 253
 
5.2%
구 113
 
2.3%
길 113
 
2.3%
양 92
 
1.9%
번 88
 
1.8%
Other values (238) 2640
53.8%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

소재지지번주소
Text

Distinct236
Distinct (%)72.0%
Missing2
Missing (%)0.6%
Memory size2.7 KiB
2023-12-11T06:06:36.608749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length48
Mean length24.847561
Min length14

Characters and Unicode

Total characters8150
Distinct characters248
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique144 ?
Unique (%)43.9%

Sample

1st row경기도 가평군 청평면 청평리 441번지 43호
2nd row경기도 가평군 청평면 청평리 441번지 43호
3rd row경기도 가평군 설악면 송산리 460번지
4th row경기도 고양시 일산서구 주엽동 21번지 사과나무치과병원
5th row경기도 고양시일산동구 장항동 756번지 2호
ValueCountFrequency (%)
경기도 328
 
17.8%
1호 53
 
2.9%
2호 29
 
1.6%
파주시 29
 
1.6%
시흥시 24
 
1.3%
용인시 22
 
1.2%
화성시 20
 
1.1%
수원시 20
 
1.1%
3호 20
 
1.1%
4호 17
 
0.9%
Other values (608) 1282
69.5%
2023-12-11T06:06:37.034167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1523
 
18.7%
시 342
 
4.2%
기 338
 
4.1%
도 334
 
4.1%
1 333
 
4.1%
경 328
 
4.0%
지 324
 
4.0%
번 294
 
3.6%
동 262
 
3.2%
호 228
 
2.8%
Other values (238) 3844
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4913
60.3%
Decimal Number 1570
 
19.3%
Space Separator 1523
 
18.7%
Dash Punctuation 67
 
0.8%
Other Punctuation 51
 
0.6%
Uppercase Letter 10
 
0.1%
Open Punctuation 6
 
0.1%
Close Punctuation 6
 
0.1%
Math Symbol 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 342
 
7.0%
기 338
 
6.9%
도 334
 
6.8%
경 328
 
6.7%
지 324
 
6.6%
번 294
 
6.0%
동 262
 
5.3%
호 228
 
4.6%
구 113
 
2.3%
리 103
 
2.1%
Other values (215) 2247
45.7%
Decimal Number
ValueCountFrequency (%)
1 333
21.2%
2 185
11.8%
3 175
11.1%
4 165
10.5%
0 140
8.9%
5 137
8.7%
7 123
 
7.8%
6 111
 
7.1%
8 109
 
6.9%
9 92
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
Y 2
20.0%
C 2
20.0%
N 2
20.0%
T 2
20.0%
I 2
20.0%
Space Separator
ValueCountFrequency (%)
1523
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 67
100.0%
Other Punctuation
ValueCountFrequency (%)
, 51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4913
60.3%
Common 3225
39.6%
Latin 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 342
 
7.0%
기 338
 
6.9%
도 334
 
6.8%
경 328
 
6.7%
지 324
 
6.6%
번 294
 
6.0%
동 262
 
5.3%
호 228
 
4.6%
구 113
 
2.3%
리 103
 
2.1%
Other values (215) 2247
45.7%
Common
ValueCountFrequency (%)
1523
47.2%
1 333
 
10.3%
2 185
 
5.7%
3 175
 
5.4%
4 165
 
5.1%
0 140
 
4.3%
5 137
 
4.2%
7 123
 
3.8%
6 111
 
3.4%
8 109
 
3.4%
Other values (6) 224
 
6.9%
Latin
ValueCountFrequency (%)
Y 2
16.7%
C 2
16.7%
N 2
16.7%
T 2
16.7%
I 2
16.7%
a 1
8.3%
Ⅲ 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4913
60.3%
ASCII 3236
39.7%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1523
47.1%
1 333
 
10.3%
2 185
 
5.7%
3 175
 
5.4%
4 165
 
5.1%
0 140
 
4.3%
5 137
 
4.2%
7 123
 
3.8%
6 111
 
3.4%
8 109
 
3.4%
Other values (12) 235
 
7.3%
Hangul
ValueCountFrequency (%)
시 342
 
7.0%
기 338
 
6.9%
도 334
 
6.8%
경 328
 
6.7%
지 324
 
6.6%
번 294
 
6.0%
동 262
 
5.3%
호 228
 
4.6%
구 113
 
2.3%
리 103
 
2.1%
Other values (215) 2247
45.7%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

소재지우편번호
Text

Distinct282
Distinct (%)85.7%
Missing1
Missing (%)0.3%
Memory size2.7 KiB
2023-12-11T06:06:37.373225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.9574468
Min length5

Characters and Unicode

Total characters1960
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

Unique237 ?
Unique (%)72.0%

Sample

1st row477-815
2nd row477815
3rd row477855
4th row10387
5th row410-837
ValueCountFrequency (%)
16846 3
 
0.9%
15040 3
 
0.9%
14995 2
 
0.6%
11322 2
 
0.6%
13338 2
 
0.6%
413-841 2
 
0.6%
413902 2
 
0.6%
451881 2
 
0.6%
10099 2
 
0.6%
10072 2
 
0.6%
Other values (272) 307
93.3%
2023-12-11T06:06:37.882125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 383
19.5%
1 255
13.0%
0 235
12.0%
8 202
10.3%
2 197
10.1%
3 165
8.4%
5 145
 
7.4%
6 121
 
6.2%
7 98
 
5.0%
9 88
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1889
96.4%
Dash Punctuation 71
 
3.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 383
20.3%
1 255
13.5%
0 235
12.4%
8 202
10.7%
2 197
10.4%
3 165
8.7%
5 145
 
7.7%
6 121
 
6.4%
7 98
 
5.2%
9 88
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 71
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1960
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 383
19.5%
1 255
13.0%
0 235
12.0%
8 202
10.3%
2 197
10.1%
3 165
8.4%
5 145
 
7.4%
6 121
 
6.2%
7 98
 
5.0%
9 88
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1960
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 383
19.5%
1 255
13.0%
0 235
12.0%
8 202
10.3%
2 197
10.1%
3 165
8.4%
5 145
 
7.4%
6 121
 
6.2%
7 98
 
5.0%
9 88
 
4.5%

WGS84위도
Real number (ℝ)

MISSING 

Distinct221
Distinct (%)69.9%
Missing14
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean37.444318
Minimum36.989891
Maximum38.017425
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T06:06:38.009534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.989891
5-th percentile37.02969
Q137.278458
median37.387358
Q337.68191
95-th percentile37.872981
Maximum38.017425
Range1.0275345
Interquartile range (IQR)0.40345183

Descriptive statistics

Standard deviation0.25415136
Coefficient of variation (CV)0.0067874479
Kurtosis-0.83356534
Mean37.444318
Median Absolute Deviation (MAD)0.14704295
Skewness0.23098242
Sum11832.405
Variance0.064592914
MonotonicityNot monotonic
2023-12-11T06:06:38.135764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.8303762534 3
 
0.9%
37.4382099813 2
 
0.6%
37.3686500595 2
 
0.6%
37.3534522826 2
 
0.6%
37.4422499113 2
 
0.6%
37.4445266056 2
 
0.6%
37.3433773231 2
 
0.6%
37.335516975 2
 
0.6%
37.3447661065 2
 
0.6%
37.443766823 2
 
0.6%
Other values (211) 295
89.4%
(Missing) 14
 
4.2%
ValueCountFrequency (%)
36.9898906563 1
0.3%
36.9903562328 2
0.6%
36.9905649024 2
0.6%
36.9930565731 1
0.3%
36.9971749018 1
0.3%
36.9974542323 1
0.3%
37.0034226893 1
0.3%
37.0049595787 2
0.6%
37.0058059754 2
0.6%
37.0187101618 2
0.6%
ValueCountFrequency (%)
38.0174251575 2
0.6%
37.9421798717 2
0.6%
37.9172633702 1
0.3%
37.9125441079 2
0.6%
37.9092326526 1
0.3%
37.9068599484 1
0.3%
37.901009932 1
0.3%
37.9003418405 2
0.6%
37.8958314177 2
0.6%
37.894907761 1
0.3%

WGS84경도
Real number (ℝ)

MISSING 

Distinct221
Distinct (%)69.9%
Missing14
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean126.99655
Minimum126.5871
Maximum127.78078
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T06:06:38.265485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.5871
5-th percentile126.71724
Q1126.7915
median126.97796
Q3127.12142
95-th percentile127.43582
Maximum127.78078
Range1.1936781
Interquartile range (IQR)0.32992168

Descriptive statistics

Standard deviation0.22884087
Coefficient of variation (CV)0.0018019455
Kurtosis0.46217681
Mean126.99655
Median Absolute Deviation (MAD)0.16193184
Skewness0.80099257
Sum40130.911
Variance0.052368146
MonotonicityNot monotonic
2023-12-11T06:06:38.436607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1406222303 3
 
0.9%
126.788191992 2
 
0.6%
126.8107252432 2
 
0.6%
126.7247122889 2
 
0.6%
126.7914998721 2
 
0.6%
126.789375692 2
 
0.6%
126.7851931663 2
 
0.6%
126.7305296305 2
 
0.6%
126.7853041907 2
 
0.6%
126.7859462233 2
 
0.6%
Other values (211) 295
89.4%
(Missing) 14
 
4.2%
ValueCountFrequency (%)
126.5870994059 2
0.6%
126.6084077369 1
0.3%
126.6378211989 2
0.6%
126.661361931 1
0.3%
126.6760927289 2
0.6%
126.6864519306 2
0.6%
126.6870055362 1
0.3%
126.7097694598 2
0.6%
126.7105517913 2
0.6%
126.71573107 1
0.3%
ValueCountFrequency (%)
127.7807774627 1
0.3%
127.7542881725 1
0.3%
127.6686207363 2
0.6%
127.6201407328 1
0.3%
127.5858092755 2
0.6%
127.5661389553 1
0.3%
127.5213805697 1
0.3%
127.5056786361 1
0.3%
127.5034843038 2
0.6%
127.4843447284 1
0.3%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing330
Missing (%)100.0%
Memory size3.0 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct112
Distinct (%)100.0%
Missing218
Missing (%)66.1%
Infinite0
Infinite (%)0.0%
Mean199085.48
Minimum163514.45
Maximum259193.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T06:06:38.876975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum163514.45
5-th percentile174379.45
Q1181137.31
median198790.78
Q3210937.27
95-th percentile236923.24
Maximum259193.62
Range95679.174
Interquartile range (IQR)29799.957

Descriptive statistics

Standard deviation20268.574
Coefficient of variation (CV)0.1018084
Kurtosis-0.14028376
Mean199085.48
Median Absolute Deviation (MAD)15523.375
Skewness0.61697183
Sum22297574
Variance4.108151 × 108
MonotonicityNot monotonic
2023-12-11T06:06:39.054252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
242010.559321668 1
 
0.3%
179349.516188193 1
 
0.3%
237330.535161418 1
 
0.3%
201646.197876666 1
 
0.3%
207518.451623257 1
 
0.3%
198277.057978584 1
 
0.3%
197876.638173403 1
 
0.3%
208878.076660665 1
 
0.3%
213816.96512353 1
 
0.3%
210569.448888005 1
 
0.3%
Other values (102) 102
30.9%
(Missing) 218
66.1%
ValueCountFrequency (%)
163514.446318455 1
0.3%
167997.294250166 1
0.3%
169846.109216881 1
0.3%
171371.249605391 1
0.3%
172315.683178845 1
0.3%
174354.615359584 1
0.3%
174399.775786821 1
0.3%
175349.870472825 1
0.3%
175540.001660162 1
0.3%
175848.325384617 1
0.3%
ValueCountFrequency (%)
259193.620095457 1
0.3%
251784.640326107 1
0.3%
244441.15443176 1
0.3%
242010.559321668 1
0.3%
237353.746544267 1
0.3%
237330.535161418 1
0.3%
236589.999734319 1
0.3%
234459.569363826 1
0.3%
232012.532483253 1
0.3%
227470.225280418 1
0.3%

Y좌표값
Real number (ℝ)

MISSING 

Distinct112
Distinct (%)100.0%
Missing218
Missing (%)66.1%
Infinite0
Infinite (%)0.0%
Mean436865.61
Minimum387646.07
Maximum501638.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T06:06:39.294938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum387646.07
5-th percentile392805.77
Q1417345.45
median429581.11
Q3462664.92
95-th percentile484409.09
Maximum501638.82
Range113992.75
Interquartile range (IQR)45319.469

Descriptive statistics

Standard deviation28588.183
Coefficient of variation (CV)0.065439308
Kurtosis-0.82695611
Mean436865.61
Median Absolute Deviation (MAD)15985.13
Skewness0.29460884
Sum48928948
Variance8.1728421 × 108
MonotonicityNot monotonic
2023-12-11T06:06:39.475264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
395099.472932311 1
 
0.3%
472107.243860378 1
 
0.3%
415978.92014589 1
 
0.3%
472790.2884429 1
 
0.3%
471192.380675717 1
 
0.3%
427322.386793718 1
 
0.3%
427589.962116534 1
 
0.3%
423905.988552715 1
 
0.3%
416435.473643842 1
 
0.3%
425553.781110022 1
 
0.3%
Other values (102) 102
30.9%
(Missing) 218
66.1%
ValueCountFrequency (%)
387646.071544417 1
0.3%
387673.399901758 1
0.3%
389301.166940396 1
0.3%
389434.032751068 1
0.3%
390849.508561979 1
0.3%
392036.6469606 1
0.3%
393435.044662133 1
0.3%
394060.030648147 1
0.3%
395099.472932311 1
0.3%
395980.59643171 1
0.3%
ValueCountFrequency (%)
501638.818645019 1
0.3%
493279.94962175 1
0.3%
490045.294860627 1
0.3%
488639.44666834 1
0.3%
488137.064504348 1
0.3%
485470.19241997 1
0.3%
483540.922454111 1
0.3%
481685.798933444 1
0.3%
480881.893844501 1
0.3%
480548.964457835 1
0.3%

의료기관종별명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing330
Missing (%)100.0%
Memory size3.0 KiB

의료인수
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
214 
0
116 

Length

Max length4
Median length4
Mean length2.9454545
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 214
64.8%
0 116
35.2%

Length

2023-12-11T06:06:39.623785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:06:39.728812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 214
64.8%
0 116
35.2%

입원실수
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
214 
0
116 

Length

Max length4
Median length4
Mean length2.9454545
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 214
64.8%
0 116
35.2%

Length

2023-12-11T06:06:39.854835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:06:39.971104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 214
64.8%
0 116
35.2%

병상수
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
214 
0
116 

Length

Max length4
Median length4
Mean length2.9454545
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 214
64.8%
0 116
35.2%

Length

2023-12-11T06:06:40.090139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:06:40.200209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 214
64.8%
0 116
35.2%

총면적
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
214 
0
116 

Length

Max length4
Median length4
Mean length2.9454545
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 214
64.8%
0 116
35.2%

Length

2023-12-11T06:06:40.328636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:06:40.436445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 214
64.8%
0 116
35.2%

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing330
Missing (%)100.0%
Memory size3.0 KiB

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing330
Missing (%)100.0%
Memory size3.0 KiB

특수구급차대수
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
214 
0
116 

Length

Max length4
Median length4
Mean length2.9454545
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 214
64.8%
0 116
35.2%

Length

2023-12-11T06:06:40.530815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:06:40.628576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 214
64.8%
0 116
35.2%

일반구급차대수
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
214 
0
116 

Length

Max length4
Median length4
Mean length2.9454545
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 214
64.8%
0 116
35.2%

Length

2023-12-11T06:06:40.751869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:06:40.871698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 214
64.8%
0 116
35.2%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing330
Missing (%)100.0%
Memory size3.0 KiB

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing330
Missing (%)100.0%
Memory size3.0 KiB

허가병상수
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
214 
0
116 

Length

Max length4
Median length4
Mean length2.9454545
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 214
64.8%
0 116
35.2%

Length

2023-12-11T06:06:41.000425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:06:41.109988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 214
64.8%
0 116
35.2%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing330
Missing (%)100.0%
Memory size3.0 KiB

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing330
Missing (%)100.0%
Memory size3.0 KiB

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값의료기관종별명의료인수입원실수병상수총면적완화의료지정형태완화의료담당부서명특수구급차대수일반구급차대수총종업원수구조사수허가병상수최초지정일자지정취소일자
0가평군의료법인청운의료재단2006-04-07<NA>10변경<NA><NA><NA><NA>경기도 가평군 청평면 청평리 441번지 43호477-815<NA><NA><NA>236589.999734470573.292166<NA>0000<NA><NA>00<NA><NA>0<NA><NA>
1가평군의료법인청운의료재단20060407<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 청평면 청평리 441번지 43호477815<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2가평군의료법인청심의료재단20021221<NA><NA>운영중<NA><NA><NA>경기도 가평군 설악면 미사리로 267-177경기도 가평군 설악면 송산리 460번지47785537.691127127.521381<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3고양시의료법인 사과나무의료재단2011-01-10<NA>10변경<NA><NA>10387경기도 고양시 일산서구 중앙로 1450, 사과나무치과병원 (주엽동)경기도 고양시 일산서구 주엽동 21번지 사과나무치과병원1038737.671256126.759597<NA>178721.933568463235.331647<NA>0000<NA><NA>00<NA><NA>0<NA><NA>
4고양시의료법인대신의료재단2005-11-15<NA>10변경903-8275<NA><NA>경기도 고양시 일산동구 호수로 646-24 (장항동)경기도 고양시일산동구 장항동 756번지 2호410-83737.659707126.767829<NA>179443.811344461950.576063<NA>0000<NA><NA>00<NA><NA>0<NA><NA>
5고양시의료법인무등의료재단2007-02-27<NA>10변경<NA><NA>10302경기도 고양시 일산동구 무궁화로 346 (풍동)경기도 고양시 일산동구 풍동 218-71030237.676547126.798044<NA>182125.912951463818.775435<NA>0000<NA><NA>00<NA><NA>0<NA><NA>
6고양시의료법인자인의료재단2001-10-30<NA>10변경031-930-3114<NA>10518경기도 고양시 덕양구 중앙로 555(행신동)경기도 고양시 덕양구 행신동 9951051837.622983126.835682<NA>185409.091507457872.142561<NA>0000<NA><NA>00<NA><NA>0<NA><NA>
7고양시의료법인명지의료재단1982-01-18<NA>10변경810-5114<NA><NA>경기도 고양시 덕양구 화수로14번길 55 (화정동,명지병원)경기도 고양시덕양구 화정동 697번지 24호 명지병원412-27137.642475126.831745<NA>185021.735563459990.459566<NA>0000<NA><NA>00<NA><NA>0<NA><NA>
8고양시의료법인일산복음의료재단2008-09-25<NA>10변경903-8275<NA><NA>경기도 고양시 일산동구 고양대로 760 (중산동)경기도 고양시일산동구 중산동 186번지 2호410-31537.68191126.780018<NA>180527.147001464407.842061<NA>0000<NA><NA>00<NA><NA>0<NA><NA>
9고양시의료법인다인의료재단20131113<NA><NA>운영중<NA><NA><NA>경기도 고양시 일산동구 중산로 241, 6층 (중산동)경기도 고양시 일산동구 중산동 1561번지 1호 해태쇼핑타운 6층41083137.6937126.780142<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값의료기관종별명의료인수입원실수병상수총면적완화의료지정형태완화의료담당부서명특수구급차대수일반구급차대수총종업원수구조사수허가병상수최초지정일자지정취소일자
320화성시의료법인 은혜와감사의료재단20080522<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 향남읍 평리 74번지 1호445939<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
321화성시의료법인 참나눔의료재단20071122<NA><NA>운영중<NA><NA><NA>경기도 화성시 병점중앙로 87경기도 화성시 병점동 292번지44536037.206286127.041896<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
322화성시의료법인 아주효성의료재단20091029<NA><NA>운영중<NA><NA><NA>경기도 화성시 효행로 1063경기도 화성시 진안동 914번지 4호 메디프렌드 8, 9층44539037.214971127.043117<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
323화성시의료법인 승민의료재단20100406<NA><NA>운영중<NA><NA><NA>경기도 화성시 양감면 사격장길 133-25경기도 화성시 양감면 사창리 808번지 10호44593237.089744126.956892<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
324화성시의료법인 화성의료재단20100407<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 팔탄면 덕우리 233번지 1호44591837.128253126.859887<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
325화성시의료법인 정도의료재단20110110<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 마도면 두곡리 418번지 2호445862<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
326화성시의료법인 화성의료재단 (화성제일병원)2010-04-07<NA>24직권폐업<NA><NA><NA><NA>경기도 화성시 팔탄면 덕우리 233번지 1호445-91837.128253126.859887<NA>187458.013247402973.650082<NA>0000<NA><NA>00<NA><NA>0<NA><NA>
327화성시의료법인 백상의료재단2010-04-30<NA>24직권폐업<NA><NA><NA><NA>경기도 화성시 송산동 200번지 61호445-370<NA><NA><NA>200596.199866412050.118831<NA>0000<NA><NA>00<NA><NA>0<NA><NA>
328화성시의료법인 로뎀호산나의료재단2013-08-20<NA>3폐업031-548-2345<NA>445-874경기도 화성시 송산면 사강로 161, 3층경기도 화성시 송산면 사강리 694번지 8호 3층445-87437.213195126.733949<NA>176316.768909412391.128458<NA>0000<NA><NA>00<NA><NA>0<NA><NA>
329화성시의료법인후암의료재단20090901<NA><NA>폐업 등<NA><NA><NA>경기도 화성시 우정읍 포승향남로 1454경기도 화성시 우정읍 조암리 753-8 외 3필지44595537.07661126.798798<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>