Overview

Dataset statistics

Number of variables45
Number of observations29
Missing cells438
Missing cells (%)33.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.2 KiB
Average record size in memory395.6 B

Variable types

Numeric11
Categorical14
Text7
Unsupported13

Dataset

Description2021-06-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123003

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
구급차특수 has constant value ""Constant
구급차일반 has constant value ""Constant
허가병상수 has constant value ""Constant
입원실수 is highly imbalanced (72.8%)Imbalance
병상수 is highly imbalanced (60.7%)Imbalance
인허가취소일자 has 29 (100.0%) missing valuesMissing
폐업일자 has 13 (44.8%) missing valuesMissing
휴업시작일자 has 29 (100.0%) missing valuesMissing
휴업종료일자 has 29 (100.0%) missing valuesMissing
재개업일자 has 29 (100.0%) missing valuesMissing
소재지전화 has 9 (31.0%) missing valuesMissing
소재지면적 has 29 (100.0%) missing valuesMissing
소재지우편번호 has 11 (37.9%) missing valuesMissing
소재지전체주소 has 1 (3.4%) missing valuesMissing
도로명전체주소 has 3 (10.3%) missing valuesMissing
도로명우편번호 has 12 (41.4%) missing valuesMissing
업태구분명 has 29 (100.0%) missing valuesMissing
좌표정보(x) has 6 (20.7%) missing valuesMissing
좌표정보(y) has 6 (20.7%) missing valuesMissing
지정취소일자 has 29 (100.0%) missing valuesMissing
완화의료지정형태 has 29 (100.0%) missing valuesMissing
완화의료담당부서명 has 29 (100.0%) missing valuesMissing
총인원 has 29 (100.0%) missing valuesMissing
구조사수 has 29 (100.0%) missing valuesMissing
최초지정일자 has 29 (100.0%) missing valuesMissing
Unnamed: 44 has 29 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정시점 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
Unnamed: 44 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총면적 has 8 (27.6%) zerosZeros

Reproduction

Analysis started2024-04-16 15:03:27.295507
Analysis finished2024-04-16 15:03:27.690385
Duration0.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15
Minimum1
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-17T00:03:27.736386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.4
Q18
median15
Q322
95-th percentile27.6
Maximum29
Range28
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.5146932
Coefficient of variation (CV)0.56764621
Kurtosis-1.2
Mean15
Median Absolute Deviation (MAD)7
Skewness0
Sum435
Variance72.5
MonotonicityStrictly increasing
2024-04-17T00:03:27.831498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 1
 
3.4%
2 1
 
3.4%
29 1
 
3.4%
28 1
 
3.4%
27 1
 
3.4%
26 1
 
3.4%
25 1
 
3.4%
24 1
 
3.4%
23 1
 
3.4%
22 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
1 1
3.4%
2 1
3.4%
3 1
3.4%
4 1
3.4%
5 1
3.4%
6 1
3.4%
7 1
3.4%
8 1
3.4%
9 1
3.4%
10 1
3.4%
ValueCountFrequency (%)
29 1
3.4%
28 1
3.4%
27 1
3.4%
26 1
3.4%
25 1
3.4%
24 1
3.4%
23 1
3.4%
22 1
3.4%
21 1
3.4%
20 1
3.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
부속의료기관
29 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부속의료기관 29
100.0%

Length

2024-04-17T00:03:28.167753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:03:28.236126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부속의료기관 29
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
01_01_03_P
29 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row01_01_03_P
2nd row01_01_03_P
3rd row01_01_03_P
4th row01_01_03_P
5th row01_01_03_P

Common Values

ValueCountFrequency (%)
01_01_03_P 29
100.0%

Length

2024-04-17T00:03:28.311365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:03:28.385988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_01_03_p 29
100.0%

개방자치단체코드
Real number (ℝ)

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3337241.4
Minimum3260000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-17T00:03:28.452373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3260000
5-th percentile3272000
Q13310000
median3350000
Q33360000
95-th percentile3390000
Maximum3400000
Range140000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation38904.329
Coefficient of variation (CV)0.011657631
Kurtosis-0.75782413
Mean3337241.4
Median Absolute Deviation (MAD)30000
Skewness-0.39781951
Sum96780000
Variance1.5135468 × 109
MonotonicityIncreasing
2024-04-17T00:03:28.546783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3360000 7
24.1%
3290000 4
13.8%
3310000 4
13.8%
3260000 2
 
6.9%
3340000 2
 
6.9%
3350000 2
 
6.9%
3380000 2
 
6.9%
3390000 2
 
6.9%
3320000 1
 
3.4%
3330000 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
3260000 2
 
6.9%
3290000 4
13.8%
3310000 4
13.8%
3320000 1
 
3.4%
3330000 1
 
3.4%
3340000 2
 
6.9%
3350000 2
 
6.9%
3360000 7
24.1%
3370000 1
 
3.4%
3380000 2
 
6.9%
ValueCountFrequency (%)
3400000 1
 
3.4%
3390000 2
 
6.9%
3380000 2
 
6.9%
3370000 1
 
3.4%
3360000 7
24.1%
3350000 2
 
6.9%
3340000 2
 
6.9%
3330000 1
 
3.4%
3320000 1
 
3.4%
3310000 4
13.8%

관리번호
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-04-17T00:03:28.714665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters725
Distinct characters14
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

Unique29 ?
Unique (%)100.0%

Sample

1st rowPHMA319663260022041300001
2nd rowPHMA319863260022041300001
3rd rowPHMA319973290024041300001
4th rowPHMA320093290024041300001
5th rowPHMA320093290024041300002
ValueCountFrequency (%)
phma319663260022041300001 1
 
3.4%
phma320183350024041300001 1
 
3.4%
phma320053390023041300002 1
 
3.4%
phma320053390023041300001 1
 
3.4%
phma320043380023021300001 1
 
3.4%
phma320093380023041300001 1
 
3.4%
phma320153370022041300001 1
 
3.4%
phma320143360024041300001 1
 
3.4%
phma320133360024021300002 1
 
3.4%
phma320103360024041300001 1
 
3.4%
Other values (19) 19
65.5%
2024-04-17T00:03:28.974360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 242
33.4%
3 120
16.6%
1 75
 
10.3%
2 72
 
9.9%
4 48
 
6.6%
P 29
 
4.0%
H 29
 
4.0%
M 29
 
4.0%
A 29
 
4.0%
9 21
 
2.9%
Other values (4) 31
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 609
84.0%
Uppercase Letter 116
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 242
39.7%
3 120
19.7%
1 75
 
12.3%
2 72
 
11.8%
4 48
 
7.9%
9 21
 
3.4%
6 13
 
2.1%
5 9
 
1.5%
8 5
 
0.8%
7 4
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
P 29
25.0%
H 29
25.0%
M 29
25.0%
A 29
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 609
84.0%
Latin 116
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 242
39.7%
3 120
19.7%
1 75
 
12.3%
2 72
 
11.8%
4 48
 
7.9%
9 21
 
3.4%
6 13
 
2.1%
5 9
 
1.5%
8 5
 
0.8%
7 4
 
0.7%
Latin
ValueCountFrequency (%)
P 29
25.0%
H 29
25.0%
M 29
25.0%
A 29
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 725
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 242
33.4%
3 120
16.6%
1 75
 
10.3%
2 72
 
9.9%
4 48
 
6.6%
P 29
 
4.0%
H 29
 
4.0%
M 29
 
4.0%
A 29
 
4.0%
9 21
 
2.9%
Other values (4) 31
 
4.3%

인허가일자
Real number (ℝ)

Distinct27
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20032344
Minimum19660124
Maximum20201016
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-17T00:03:29.096502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19660124
5-th percentile19740329
Q120001009
median20090323
Q320121214
95-th percentile20176479
Maximum20201016
Range540892
Interquartile range (IQR)120205

Descriptive statistics

Standard deviation138376.37
Coefficient of variation (CV)0.0069076471
Kurtosis1.2275572
Mean20032344
Median Absolute Deviation (MAD)49694
Skewness-1.3713839
Sum5.8093798 × 108
Variance1.9148019 × 1010
MonotonicityNot monotonic
2024-04-17T00:03:29.209211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
20051012 2
 
6.9%
19740329 2
 
6.9%
19660124 1
 
3.4%
20001009 1
 
3.4%
20201016 1
 
3.4%
20040629 1
 
3.4%
20090807 1
 
3.4%
20150120 1
 
3.4%
20140827 1
 
3.4%
20170725 1
 
3.4%
Other values (17) 17
58.6%
ValueCountFrequency (%)
19660124 1
3.4%
19740329 2
6.9%
19861117 1
3.4%
19861127 1
3.4%
19931029 1
3.4%
19970421 1
3.4%
20001009 1
3.4%
20010419 1
3.4%
20040629 1
3.4%
20050930 1
3.4%
ValueCountFrequency (%)
20201016 1
3.4%
20180315 1
3.4%
20170725 1
3.4%
20150120 1
3.4%
20140827 1
3.4%
20130129 1
3.4%
20130118 1
3.4%
20121214 1
3.4%
20100726 1
3.4%
20100419 1
3.4%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

영업상태구분코드
Categorical

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
3
16 
1
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 16
55.2%
1 13
44.8%

Length

2024-04-17T00:03:29.311611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:03:29.385976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 16
55.2%
1 13
44.8%

영업상태명
Categorical

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
폐업
16 
영업/정상
13 

Length

Max length5
Median length2
Mean length3.3448276
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 16
55.2%
영업/정상 13
44.8%

Length

2024-04-17T00:03:29.470822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:03:29.552468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 16
55.2%
영업/정상 13
44.8%

상세영업상태코드
Categorical

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
3
16 
13
13 

Length

Max length2
Median length1
Mean length1.4482759
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 16
55.2%
13 13
44.8%

Length

2024-04-17T00:03:29.632777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:03:29.707257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 16
55.2%
13 13
44.8%

상세영업상태명
Categorical

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
폐업
16 
영업중
13 

Length

Max length3
Median length2
Mean length2.4482759
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 16
55.2%
영업중 13
44.8%

Length

2024-04-17T00:03:29.790282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:03:29.877578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 16
55.2%
영업중 13
44.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)100.0%
Missing13
Missing (%)44.8%
Infinite0
Infinite (%)0.0%
Mean20121968
Minimum20090402
Maximum20210115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-17T00:03:29.958381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090402
5-th percentile20090572
Q120097857
median20110579
Q320130834
95-th percentile20195652
Maximum20210115
Range119713
Interquartile range (IQR)32977.5

Descriptive statistics

Standard deviation37144.249
Coefficient of variation (CV)0.0018459551
Kurtosis1.1599947
Mean20121968
Median Absolute Deviation (MAD)19814.5
Skewness1.4470836
Sum3.2195149 × 108
Variance1.3796952 × 109
MonotonicityNot monotonic
2024-04-17T00:03:30.051363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
20120611 1
 
3.4%
20210115 1
 
3.4%
20110729 1
 
3.4%
20170725 1
 
3.4%
20131231 1
 
3.4%
20090708 1
 
3.4%
20130702 1
 
3.4%
20110908 1
 
3.4%
20110429 1
 
3.4%
20101230 1
 
3.4%
Other values (6) 6
20.7%
(Missing) 13
44.8%
ValueCountFrequency (%)
20090402 1
3.4%
20090629 1
3.4%
20090708 1
3.4%
20090821 1
3.4%
20100202 1
3.4%
20101213 1
3.4%
20101230 1
3.4%
20110429 1
3.4%
20110729 1
3.4%
20110908 1
3.4%
ValueCountFrequency (%)
20210115 1
3.4%
20190831 1
3.4%
20170725 1
3.4%
20131231 1
3.4%
20130702 1
3.4%
20120611 1
3.4%
20110908 1
3.4%
20110729 1
3.4%
20110429 1
3.4%
20101230 1
3.4%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

소재지전화
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-04-17T00:03:30.200594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.4
Min length7

Characters and Unicode

Total characters228
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

Unique20 ?
Unique (%)100.0%

Sample

1st row051-257-0103
2nd row051-257-9404
3rd row051-644-1650
4th row816-2282
5th row051-669-6883
ValueCountFrequency (%)
051-519-7700 1
 
5.0%
051-644-1650 1
 
5.0%
051-979-9089 1
 
5.0%
051-309-8463 1
 
5.0%
6675317 1
 
5.0%
051-590-0166 1
 
5.0%
051979-9089 1
 
5.0%
051-979-2401 1
 
5.0%
051-970-9123 1
 
5.0%
051-970-5182 1
 
5.0%
Other values (10) 10
50.0%
2024-04-17T00:03:30.473625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 35
15.4%
1 35
15.4%
- 34
14.9%
5 28
12.3%
9 19
8.3%
7 16
7.0%
6 16
7.0%
2 13
 
5.7%
3 12
 
5.3%
8 11
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 194
85.1%
Dash Punctuation 34
 
14.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 35
18.0%
1 35
18.0%
5 28
14.4%
9 19
9.8%
7 16
8.2%
6 16
8.2%
2 13
 
6.7%
3 12
 
6.2%
8 11
 
5.7%
4 9
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 228
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 35
15.4%
1 35
15.4%
- 34
14.9%
5 28
12.3%
9 19
8.3%
7 16
7.0%
6 16
7.0%
2 13
 
5.7%
3 12
 
5.3%
8 11
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 228
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 35
15.4%
1 35
15.4%
- 34
14.9%
5 28
12.3%
9 19
8.3%
7 16
7.0%
6 16
7.0%
2 13
 
5.7%
3 12
 
5.3%
8 11
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing11
Missing (%)37.9%
Infinite0
Infinite (%)0.0%
Mean612294.33
Minimum602055
Maximum618804
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-17T00:03:30.574090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum602055
5-th percentile604426.5
Q1608802
median613756
Q3616315.75
95-th percentile618718.15
Maximum618804
Range16749
Interquartile range (IQR)7513.75

Descriptive statistics

Standard deviation5183.3457
Coefficient of variation (CV)0.0084654477
Kurtosis-0.82844047
Mean612294.33
Median Absolute Deviation (MAD)4257.5
Skewness-0.48050075
Sum11021298
Variance26867072
MonotonicityNot monotonic
2024-04-17T00:03:30.662440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
609824 1
 
3.4%
617737 1
 
3.4%
613707 1
 
3.4%
613805 1
 
3.4%
611741 1
 
3.4%
618703 1
 
3.4%
618804 1
 
3.4%
618290 1
 
3.4%
614802 1
 
3.4%
614836 1
 
3.4%
Other values (8) 8
27.6%
(Missing) 11
37.9%
ValueCountFrequency (%)
602055 1
3.4%
604845 1
3.4%
604857 1
3.4%
608091 1
3.4%
608801 1
3.4%
608805 1
3.4%
609824 1
3.4%
611741 1
3.4%
613707 1
3.4%
613805 1
3.4%
ValueCountFrequency (%)
618804 1
3.4%
618703 1
3.4%
618290 1
3.4%
617737 1
3.4%
616809 1
3.4%
614836 1
3.4%
614802 1
3.4%
614786 1
3.4%
613805 1
3.4%
613707 1
3.4%

소재지전체주소
Text

MISSING 

Distinct27
Distinct (%)96.4%
Missing1
Missing (%)3.4%
Memory size364.0 B
2024-04-17T00:03:30.879668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length31
Mean length23.321429
Min length14

Characters and Unicode

Total characters653
Distinct characters96
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)92.9%

Sample

1st row부산광역시 서구 아미동2가 89-155
2nd row부산광역시 서구 토성동2가 4-1
3rd row부산광역시 부산진구 범천1동863-1
4th row부산광역시 부산진구 가야2동 602번지 7호
5th row부산광역시 부산진구 부암1동 724번지 3호
ValueCountFrequency (%)
부산광역시 28
 
20.3%
강서구 6
 
4.3%
부산진구 4
 
2.9%
대저2동 3
 
2.2%
서구 3
 
2.2%
2호 3
 
2.2%
남구 3
 
2.2%
5호 2
 
1.4%
사상구 2
 
1.4%
수영구 2
 
1.4%
Other values (76) 82
59.4%
2024-04-17T00:03:31.204437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
110
 
16.8%
부 38
 
5.8%
산 35
 
5.4%
광 29
 
4.4%
구 29
 
4.4%
역 28
 
4.3%
시 28
 
4.3%
동 28
 
4.3%
1 26
 
4.0%
2 25
 
3.8%
Other values (86) 277
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 404
61.9%
Decimal Number 130
 
19.9%
Space Separator 110
 
16.8%
Dash Punctuation 5
 
0.8%
Other Punctuation 2
 
0.3%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 38
 
9.4%
산 35
 
8.7%
광 29
 
7.2%
구 29
 
7.2%
역 28
 
6.9%
시 28
 
6.9%
동 28
 
6.9%
지 20
 
5.0%
호 20
 
5.0%
번 18
 
4.5%
Other values (71) 131
32.4%
Decimal Number
ValueCountFrequency (%)
1 26
20.0%
2 25
19.2%
3 19
14.6%
5 16
12.3%
6 10
 
7.7%
0 9
 
6.9%
4 8
 
6.2%
8 7
 
5.4%
7 5
 
3.8%
9 5
 
3.8%
Space Separator
ValueCountFrequency (%)
110
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 404
61.9%
Common 249
38.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 38
 
9.4%
산 35
 
8.7%
광 29
 
7.2%
구 29
 
7.2%
역 28
 
6.9%
시 28
 
6.9%
동 28
 
6.9%
지 20
 
5.0%
호 20
 
5.0%
번 18
 
4.5%
Other values (71) 131
32.4%
Common
ValueCountFrequency (%)
110
44.2%
1 26
 
10.4%
2 25
 
10.0%
3 19
 
7.6%
5 16
 
6.4%
6 10
 
4.0%
0 9
 
3.6%
4 8
 
3.2%
8 7
 
2.8%
7 5
 
2.0%
Other values (5) 14
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 404
61.9%
ASCII 249
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
110
44.2%
1 26
 
10.4%
2 25
 
10.0%
3 19
 
7.6%
5 16
 
6.4%
6 10
 
4.0%
0 9
 
3.6%
4 8
 
3.2%
8 7
 
2.8%
7 5
 
2.0%
Other values (5) 14
 
5.6%
Hangul
ValueCountFrequency (%)
부 38
 
9.4%
산 35
 
8.7%
광 29
 
7.2%
구 29
 
7.2%
역 28
 
6.9%
시 28
 
6.9%
동 28
 
6.9%
지 20
 
5.0%
호 20
 
5.0%
번 18
 
4.5%
Other values (71) 131
32.4%

도로명전체주소
Text

MISSING 

Distinct23
Distinct (%)88.5%
Missing3
Missing (%)10.3%
Memory size364.0 B
2024-04-17T00:03:31.446230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length32
Mean length27.384615
Min length22

Characters and Unicode

Total characters712
Distinct characters111
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)76.9%

Sample

1st row부산광역시 부산진구 가야공원로 44 (가야동)
2nd row부산광역시 부산진구 백양산로53번길 16 (부암동)
3rd row부산광역시 부산진구 중앙대로 659 (부전동)
4th row부산광역시 서구 구덕로 135-8 (토성동5가,동일빌라 201호)
5th row부산광역시 남구 용소로8번길 46 (대연동)
ValueCountFrequency (%)
부산광역시 26
 
18.6%
강서구 7
 
5.0%
대저2동 3
 
2.1%
남구 3
 
2.1%
부산진구 3
 
2.1%
르노삼성대로 2
 
1.4%
사하구 2
 
1.4%
수영구 2
 
1.4%
공항진입로42번길 2
 
1.4%
61 2
 
1.4%
Other values (80) 88
62.9%
2024-04-17T00:03:31.850878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
 
16.0%
부 34
 
4.8%
산 32
 
4.5%
동 29
 
4.1%
광 28
 
3.9%
시 27
 
3.8%
구 27
 
3.8%
역 26
 
3.7%
로 25
 
3.5%
) 25
 
3.5%
Other values (101) 345
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 433
60.8%
Space Separator 114
 
16.0%
Decimal Number 101
 
14.2%
Close Punctuation 25
 
3.5%
Open Punctuation 25
 
3.5%
Other Punctuation 12
 
1.7%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 34
 
7.9%
산 32
 
7.4%
동 29
 
6.7%
광 28
 
6.5%
시 27
 
6.2%
구 27
 
6.2%
역 26
 
6.0%
로 25
 
5.8%
대 11
 
2.5%
길 9
 
2.1%
Other values (86) 185
42.7%
Decimal Number
ValueCountFrequency (%)
1 18
17.8%
2 16
15.8%
3 15
14.9%
6 14
13.9%
5 12
11.9%
4 11
10.9%
9 5
 
5.0%
0 5
 
5.0%
8 4
 
4.0%
7 1
 
1.0%
Space Separator
ValueCountFrequency (%)
114
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 433
60.8%
Common 279
39.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 34
 
7.9%
산 32
 
7.4%
동 29
 
6.7%
광 28
 
6.5%
시 27
 
6.2%
구 27
 
6.2%
역 26
 
6.0%
로 25
 
5.8%
대 11
 
2.5%
길 9
 
2.1%
Other values (86) 185
42.7%
Common
ValueCountFrequency (%)
114
40.9%
) 25
 
9.0%
( 25
 
9.0%
1 18
 
6.5%
2 16
 
5.7%
3 15
 
5.4%
6 14
 
5.0%
5 12
 
4.3%
, 12
 
4.3%
4 11
 
3.9%
Other values (5) 17
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 433
60.8%
ASCII 279
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
40.9%
) 25
 
9.0%
( 25
 
9.0%
1 18
 
6.5%
2 16
 
5.7%
3 15
 
5.4%
6 14
 
5.0%
5 12
 
4.3%
, 12
 
4.3%
4 11
 
3.9%
Other values (5) 17
 
6.1%
Hangul
ValueCountFrequency (%)
부 34
 
7.9%
산 32
 
7.4%
동 29
 
6.7%
광 28
 
6.5%
시 27
 
6.2%
구 27
 
6.2%
역 26
 
6.0%
로 25
 
5.8%
대 11
 
2.5%
길 9
 
2.1%
Other values (86) 185
42.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)88.2%
Missing12
Missing (%)41.4%
Infinite0
Infinite (%)0.0%
Mean80687.353
Minimum46036
Maximum618722
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-17T00:03:31.952873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46036
5-th percentile46211.2
Q146712
median46758
Q347510
95-th percentile162594.8
Maximum618722
Range572686
Interquartile range (IQR)798

Descriptive statistics

Standard deviation138650.02
Coefficient of variation (CV)1.7183612
Kurtosis16.99902
Mean80687.353
Median Absolute Deviation (MAD)258
Skewness4.1229373
Sum1371685
Variance1.9223828 × 1010
MonotonicityNot monotonic
2024-04-17T00:03:32.051582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
46718 2
 
6.9%
47016 2
 
6.9%
47289 1
 
3.4%
48563 1
 
3.4%
46643 1
 
3.4%
48067 1
 
3.4%
46255 1
 
3.4%
618722 1
 
3.4%
46700 1
 
3.4%
46712 1
 
3.4%
Other values (5) 5
17.2%
(Missing) 12
41.4%
ValueCountFrequency (%)
46036 1
3.4%
46255 1
3.4%
46643 1
3.4%
46700 1
3.4%
46712 1
3.4%
46718 2
6.9%
46754 1
3.4%
46758 1
3.4%
47016 2
6.9%
47289 1
3.4%
ValueCountFrequency (%)
618722 1
3.4%
48563 1
3.4%
48208 1
3.4%
48067 1
3.4%
47510 1
3.4%
47289 1
3.4%
47016 2
6.9%
46758 1
3.4%
46754 1
3.4%
46718 2
6.9%

사업장명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-04-17T00:03:32.235089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length16
Mean length15.137931
Min length7

Characters and Unicode

Total characters439
Distinct characters107
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row사회복지법인 그리스도 구원선
2nd row부산기독교사회복지관부속의원
3rd row삼성생명부속의원
4th row효정의료소비자생활협동조합효림부속의원
5th row한국의료소비자생활협동조합제일부속의원
ValueCountFrequency (%)
부속의원 3
 
5.9%
부속 2
 
3.9%
부산소년원 1
 
2.0%
르노삼성자동부속치과의원 1
 
2.0%
공군 1
 
2.0%
제5 1
 
2.0%
공중 1
 
2.0%
기동비행단 1
 
2.0%
제5항공의무대대 1
 
2.0%
부산교도소부속의원 1
 
2.0%
Other values (38) 38
74.5%
2024-04-17T00:03:32.519245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
부 35
 
8.0%
의 32
 
7.3%
원 28
 
6.4%
22
 
5.0%
속 21
 
4.8%
동 11
 
2.5%
자 11
 
2.5%
산 10
 
2.3%
대 10
 
2.3%
소 9
 
2.1%
Other values (97) 250
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 402
91.6%
Space Separator 22
 
5.0%
Decimal Number 6
 
1.4%
Close Punctuation 4
 
0.9%
Open Punctuation 4
 
0.9%
Other Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 35
 
8.7%
의 32
 
8.0%
원 28
 
7.0%
속 21
 
5.2%
동 11
 
2.7%
자 11
 
2.7%
산 10
 
2.5%
대 10
 
2.5%
소 9
 
2.2%
지 9
 
2.2%
Other values (91) 226
56.2%
Decimal Number
ValueCountFrequency (%)
5 5
83.3%
3 1
 
16.7%
Space Separator
ValueCountFrequency (%)
22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 403
91.8%
Common 36
 
8.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 35
 
8.7%
의 32
 
7.9%
원 28
 
6.9%
속 21
 
5.2%
동 11
 
2.7%
자 11
 
2.7%
산 10
 
2.5%
대 10
 
2.5%
소 9
 
2.2%
지 9
 
2.2%
Other values (92) 227
56.3%
Common
ValueCountFrequency (%)
22
61.1%
5 5
 
13.9%
) 4
 
11.1%
( 4
 
11.1%
3 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 402
91.6%
ASCII 36
 
8.2%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
부 35
 
8.7%
의 32
 
8.0%
원 28
 
7.0%
속 21
 
5.2%
동 11
 
2.7%
자 11
 
2.7%
산 10
 
2.5%
대 10
 
2.5%
소 9
 
2.2%
지 9
 
2.2%
Other values (91) 226
56.2%
ASCII
ValueCountFrequency (%)
22
61.1%
5 5
 
13.9%
) 4
 
11.1%
( 4
 
11.1%
3 1
 
2.8%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0151361 × 1013
Minimum2.0090403 × 1013
Maximum2.021043 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-17T00:03:32.624706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0090403 × 1013
5-th percentile2.0090661 × 1013
Q12.0111213 × 1013
median2.0151007 × 1013
Q32.0190805 × 1013
95-th percentile2.0210308 × 1013
Maximum2.021043 × 1013
Range1.2002698 × 1011
Interquartile range (IQR)7.9592045 × 1010

Descriptive statistics

Standard deviation4.0905682 × 1010
Coefficient of variation (CV)0.0020299215
Kurtosis-1.3850237
Mean2.0151361 × 1013
Median Absolute Deviation (MAD)3.9798011 × 1010
Skewness-0.12729373
Sum5.8438947 × 1014
Variance1.6732748 × 1021
MonotonicityNot monotonic
2024-04-17T00:03:32.737610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
20110908150250 1
 
3.4%
20110429114310 1
 
3.4%
20210125093510 1
 
3.4%
20151007144124 1
 
3.4%
20160311135420 1
 
3.4%
20150605102319 1
 
3.4%
20111213110452 1
 
3.4%
20190510001312 1
 
3.4%
20210430074318 1
 
3.4%
20190805155521 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
20090403092741 1
3.4%
20090630154648 1
3.4%
20090708182152 1
3.4%
20090821174734 1
3.4%
20101230145213 1
3.4%
20110429114310 1
3.4%
20110908150250 1
3.4%
20111213110452 1
3.4%
20120611130809 1
3.4%
20120814103347 1
3.4%
ValueCountFrequency (%)
20210430074318 1
3.4%
20210430074317 1
3.4%
20210125093510 1
3.4%
20191220173413 1
3.4%
20191220165032 1
3.4%
20191108200739 1
3.4%
20190910160818 1
3.4%
20190805155521 1
3.4%
20190510001312 1
3.4%
20190207231315 1
3.4%

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
I
19 
U
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 19
65.5%
U 10
34.5%

Length

2024-04-17T00:03:32.853392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:03:32.957589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 19
65.5%
u 10
34.5%

데이터갱신일자
Categorical

Distinct9
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2018-08-31 23:59:59.0
19 
2019-12-22 02:40:00.0
2 
2021-05-02 02:40:00.0
2 
2019-09-12 02:40:00.0
 
1
2019-11-10 02:40:00.0
 
1
Other values (4)
4 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique6 ?
Unique (%)20.7%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 19
65.5%
2019-12-22 02:40:00.0 2
 
6.9%
2021-05-02 02:40:00.0 2
 
6.9%
2019-09-12 02:40:00.0 1
 
3.4%
2019-11-10 02:40:00.0 1
 
3.4%
2019-02-09 02:40:00.0 1
 
3.4%
2019-08-07 02:40:00.0 1
 
3.4%
2019-05-12 02:40:00.0 1
 
3.4%
2021-01-27 02:40:00.0 1
 
3.4%

Length

2024-04-17T00:03:33.064676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:03:33.160948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 19
32.8%
23:59:59.0 19
32.8%
02:40:00.0 10
17.2%
2019-12-22 2
 
3.4%
2021-05-02 2
 
3.4%
2019-09-12 1
 
1.7%
2019-11-10 1
 
1.7%
2019-02-09 1
 
1.7%
2019-08-07 1
 
1.7%
2019-05-12 1
 
1.7%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)91.3%
Missing6
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean385236.41
Minimum369169.33
Maximum408237.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-17T00:03:33.277790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum369169.33
5-th percentile371070.27
Q1378413.18
median384898.01
Q3391336.92
95-th percentile396751.88
Maximum408237.87
Range39068.542
Interquartile range (IQR)12923.746

Descriptive statistics

Standard deviation9235.6522
Coefficient of variation (CV)0.023973986
Kurtosis0.4512864
Mean385236.41
Median Absolute Deviation (MAD)6618.4707
Skewness0.22826576
Sum8860437.5
Variance85297272
MonotonicityNot monotonic
2024-04-17T00:03:33.380597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
377149.244715118 2
 
6.9%
371070.269343027 2
 
6.9%
384898.006163277 1
 
3.4%
408237.872515778 1
 
3.4%
391569.236337438 1
 
3.4%
392936.498804324 1
 
3.4%
388768.843267284 1
 
3.4%
369169.330139889 1
 
3.4%
375751.958407317 1
 
3.4%
391516.476860845 1
 
3.4%
Other values (11) 11
37.9%
(Missing) 6
20.7%
ValueCountFrequency (%)
369169.330139889 1
3.4%
371070.269343027 2
6.9%
375751.958407317 1
3.4%
377149.244715118 2
6.9%
379677.110328236 1
3.4%
382144.076563291 1
3.4%
382865.897094966 1
3.4%
384208.530134913 1
3.4%
384895.390231743 1
3.4%
384898.006163277 1
3.4%
ValueCountFrequency (%)
408237.872515778 1
3.4%
397175.816173784 1
3.4%
392936.498804324 1
3.4%
391786.069110496 1
3.4%
391569.236337438 1
3.4%
391516.476860845 1
3.4%
391157.370995645 1
3.4%
390065.219940669 1
3.4%
389644.331497549 1
3.4%
388768.843267284 1
3.4%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)91.3%
Missing6
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean186186.33
Minimum177470.45
Maximum204819.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-17T00:03:33.478812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum177470.45
5-th percentile178844.96
Q1179904.53
median185987.6
Q3189381.1
95-th percentile195899.94
Maximum204819.26
Range27348.807
Interquartile range (IQR)9476.5706

Descriptive statistics

Standard deviation6586.2042
Coefficient of variation (CV)0.035374263
Kurtosis1.4228377
Mean186186.33
Median Absolute Deviation (MAD)4199.2325
Skewness0.92533929
Sum4282285.6
Variance43378086
MonotonicityNot monotonic
2024-04-17T00:03:33.567387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
189381.096185113 2
 
6.9%
178844.957191338 2
 
6.9%
187925.998896142 1
 
3.4%
204819.260624967 1
 
3.4%
188053.038716787 1
 
3.4%
185987.595264459 1
 
3.4%
190117.18190073 1
 
3.4%
178979.319940248 1
 
3.4%
188590.806112604 1
 
3.4%
196202.857738956 1
 
3.4%
Other values (11) 11
37.9%
(Missing) 6
20.7%
ValueCountFrequency (%)
177470.4537142 1
3.4%
178844.957191338 2
6.9%
178979.319940248 1
3.4%
179450.507706881 1
3.4%
179732.696281615 1
3.4%
180076.354934905 1
3.4%
181652.511643052 1
3.4%
183859.389619517 1
3.4%
185266.377015509 1
3.4%
185551.561037471 1
3.4%
ValueCountFrequency (%)
204819.260624967 1
3.4%
196202.857738956 1
3.4%
193173.682616856 1
3.4%
190186.827804782 1
3.4%
190117.18190073 1
3.4%
189381.096185113 2
6.9%
188737.071939952 1
3.4%
188590.806112604 1
3.4%
188053.038716787 1
3.4%
187925.998896142 1
3.4%

의료기관종별명
Categorical

Distinct6
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Memory size364.0 B
부속의원
22 
의무대
3 
군부대시설
 
1
기타
 
1
부속병원
 
1

Length

Max length5
Median length4
Mean length3.8275862
Min length2

Unique

Unique4 ?
Unique (%)13.8%

Sample

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

Common Values

ValueCountFrequency (%)
부속의원 22
75.9%
의무대 3
 
10.3%
군부대시설 1
 
3.4%
기타 1
 
3.4%
부속병원 1
 
3.4%
병무청 1
 
3.4%

Length

2024-04-17T00:03:33.665957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:03:33.752713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부속의원 22
75.9%
의무대 3
 
10.3%
군부대시설 1
 
3.4%
기타 1
 
3.4%
부속병원 1
 
3.4%
병무청 1
 
3.4%

의료인수
Real number (ℝ)

Distinct7
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7241379
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-17T00:03:33.839868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34
95-th percentile9.8
Maximum12
Range11
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.9386167
Coefficient of variation (CV)1.0787327
Kurtosis4.3849613
Mean2.7241379
Median Absolute Deviation (MAD)0
Skewness2.1687653
Sum79
Variance8.635468
MonotonicityNot monotonic
2024-04-17T00:03:33.952867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 17
58.6%
4 5
 
17.2%
3 3
 
10.3%
8 1
 
3.4%
2 1
 
3.4%
12 1
 
3.4%
11 1
 
3.4%
ValueCountFrequency (%)
1 17
58.6%
2 1
 
3.4%
3 3
 
10.3%
4 5
 
17.2%
8 1
 
3.4%
11 1
 
3.4%
12 1
 
3.4%
ValueCountFrequency (%)
12 1
 
3.4%
11 1
 
3.4%
8 1
 
3.4%
4 5
 
17.2%
3 3
 
10.3%
2 1
 
3.4%
1 17
58.6%

입원실수
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
0
27 
12
 
1
2
 
1

Length

Max length2
Median length1
Mean length1.0344828
Min length1

Unique

Unique2 ?
Unique (%)6.9%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 27
93.1%
12 1
 
3.4%
2 1
 
3.4%

Length

2024-04-17T00:03:34.068519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:03:34.146230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
93.1%
12 1
 
3.4%
2 1
 
3.4%

병상수
Categorical

IMBALANCE 

Distinct4
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
0
25 
1
 
2
44
 
1
13
 
1

Length

Max length2
Median length1
Mean length1.0689655
Min length1

Unique

Unique2 ?
Unique (%)6.9%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 25
86.2%
1 2
 
6.9%
44 1
 
3.4%
13 1
 
3.4%

Length

2024-04-17T00:03:34.230032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:03:34.308582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
86.2%
1 2
 
6.9%
44 1
 
3.4%
13 1
 
3.4%

총면적
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean270.0031
Minimum0
Maximum1185.43
Zeros8
Zeros (%)27.6%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-17T00:03:34.384559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median150
Q3337.75
95-th percentile1090
Maximum1185.43
Range1185.43
Interquartile range (IQR)337.75

Descriptive statistics

Standard deviation354.31809
Coefficient of variation (CV)1.3122741
Kurtosis1.492945
Mean270.0031
Median Absolute Deviation (MAD)150
Skewness1.5510793
Sum7830.09
Variance125541.31
MonotonicityNot monotonic
2024-04-17T00:03:34.470805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 8
27.6%
1090.0 2
 
6.9%
181.9 2
 
6.9%
277.5 1
 
3.4%
10.0 1
 
3.4%
150.0 1
 
3.4%
82.58 1
 
3.4%
580.0 1
 
3.4%
237.6 1
 
3.4%
388.0 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
0.0 8
27.6%
10.0 1
 
3.4%
32.0 1
 
3.4%
39.99 1
 
3.4%
72.6 1
 
3.4%
76.36 1
 
3.4%
82.58 1
 
3.4%
150.0 1
 
3.4%
179.4 1
 
3.4%
181.9 2
 
6.9%
ValueCountFrequency (%)
1185.43 1
3.4%
1090.0 2
6.9%
719.68 1
3.4%
587.4 1
3.4%
580.0 1
3.4%
388.0 1
3.4%
337.75 1
3.4%
330.0 1
3.4%
277.5 1
3.4%
237.6 1
3.4%

진료과목내용
Text

Distinct19
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-04-17T00:03:34.587780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length3
Mean length9.8965517
Min length3

Characters and Unicode

Total characters287
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

Unique16 ?
Unique (%)55.2%

Sample

1st row101
2nd row101
3rd row101
4th row104 105 106 113 101 114 111 115 120
5th row105 122 106 120 104 101 119
ValueCountFrequency (%)
101 18
22.8%
122 8
10.1%
104 7
 
8.9%
105 7
 
8.9%
114 5
 
6.3%
605 4
 
5.1%
111 4
 
5.1%
115 3
 
3.8%
106 3
 
3.8%
119 3
 
3.8%
Other values (12) 17
21.5%
2024-04-17T00:03:34.861770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 116
40.4%
0 50
17.4%
50
17.4%
2 20
 
7.0%
4 15
 
5.2%
5 14
 
4.9%
6 11
 
3.8%
3 5
 
1.7%
9 4
 
1.4%
7 2
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 237
82.6%
Space Separator 50
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 116
48.9%
0 50
21.1%
2 20
 
8.4%
4 15
 
6.3%
5 14
 
5.9%
6 11
 
4.6%
3 5
 
2.1%
9 4
 
1.7%
7 2
 
0.8%
Space Separator
ValueCountFrequency (%)
50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 287
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 116
40.4%
0 50
17.4%
50
17.4%
2 20
 
7.0%
4 15
 
5.2%
5 14
 
4.9%
6 11
 
3.8%
3 5
 
1.7%
9 4
 
1.4%
7 2
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 287
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 116
40.4%
0 50
17.4%
50
17.4%
2 20
 
7.0%
4 15
 
5.2%
5 14
 
4.9%
6 11
 
3.8%
3 5
 
1.7%
9 4
 
1.4%
7 2
 
0.7%

진료과목내용명
Text

Distinct19
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-04-17T00:03:35.015843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length53
Mean length13.482759
Min length2

Characters and Unicode

Total characters391
Distinct characters48
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)55.2%

Sample

1st row내과
2nd row내과
3rd row내과
4th row재활의학과, 비뇨의학과, 소아청소년과, 피부과, 내과, 이비인후과, 신경외과, 정형외과, 외과
5th row진단검사의학과, 내과, 외과, 재활의학과, 신경외과, 가정의학과, 정형외과
ValueCountFrequency (%)
내과 18
22.8%
가정의학과 8
10.1%
정형외과 7
 
8.9%
외과 7
 
8.9%
피부과 5
 
6.3%
의무대 4
 
5.1%
소아청소년과 4
 
5.1%
비뇨의학과 3
 
3.8%
신경외과 3
 
3.8%
진단검사의학과 3
 
3.8%
Other values (12) 17
21.5%
2024-04-17T00:03:35.274839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 72
18.4%
, 50
12.8%
50
12.8%
의 24
 
6.1%
학 20
 
5.1%
내 18
 
4.6%
외 17
 
4.3%
정 17
 
4.3%
소 8
 
2.0%
가 8
 
2.0%
Other values (38) 107
27.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 291
74.4%
Other Punctuation 50
 
12.8%
Space Separator 50
 
12.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 72
24.7%
의 24
 
8.2%
학 20
 
6.9%
내 18
 
6.2%
외 17
 
5.8%
정 17
 
5.8%
소 8
 
2.7%
가 8
 
2.7%
형 7
 
2.4%
부 6
 
2.1%
Other values (36) 94
32.3%
Other Punctuation
ValueCountFrequency (%)
, 50
100.0%
Space Separator
ValueCountFrequency (%)
50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 291
74.4%
Common 100
 
25.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 72
24.7%
의 24
 
8.2%
학 20
 
6.9%
내 18
 
6.2%
외 17
 
5.8%
정 17
 
5.8%
소 8
 
2.7%
가 8
 
2.7%
형 7
 
2.4%
부 6
 
2.1%
Other values (36) 94
32.3%
Common
ValueCountFrequency (%)
, 50
50.0%
50
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 291
74.4%
ASCII 100
 
25.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 72
24.7%
의 24
 
8.2%
학 20
 
6.9%
내 18
 
6.2%
외 17
 
5.8%
정 17
 
5.8%
소 8
 
2.7%
가 8
 
2.7%
형 7
 
2.4%
부 6
 
2.1%
Other values (36) 94
32.3%
ASCII
ValueCountFrequency (%)
, 50
50.0%
50
50.0%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

구급차특수
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
0
29 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29
100.0%

Length

2024-04-17T00:03:35.389210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:03:35.459351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
100.0%

구급차일반
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
0
29 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29
100.0%

Length

2024-04-17T00:03:35.784090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:03:35.850793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
100.0%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

허가병상수
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
0
29 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29
100.0%

Length

2024-04-17T00:03:35.924368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:03:35.997645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
100.0%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

Unnamed: 44
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자Unnamed: 44
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12부속의료기관01_01_03_P3260000PHMA31986326002204130000119861117<NA>3폐업3폐업20110429<NA><NA><NA>051-257-9404<NA><NA>부산광역시 서구 토성동2가 4-1<NA><NA>부산기독교사회복지관부속의원20110429114310I2018-08-31 23:59:59.0<NA><NA><NA>부속의원1000.0101내과<NA><NA><NA>00<NA><NA>0<NA><NA>
23부속의료기관01_01_03_P3290000PHMA31997329002404130000119970421<NA>3폐업3폐업20101213<NA><NA><NA>051-644-1650<NA><NA>부산광역시 부산진구 범천1동863-1<NA><NA>삼성생명부속의원20120814103347I2018-08-31 23:59:59.0<NA><NA><NA>부속의원1000.0101내과<NA><NA><NA>00<NA><NA>0<NA><NA>
34부속의료기관01_01_03_P3290000PHMA32009329002404130000120090323<NA>3폐업3폐업20090402<NA><NA><NA><NA><NA>614802부산광역시 부산진구 가야2동 602번지 7호부산광역시 부산진구 가야공원로 44 (가야동)<NA>효정의료소비자생활협동조합효림부속의원20090403092741I2018-08-31 23:59:59.0<NA>384895.390232185266.377016부속의원100179.4104 105 106 113 101 114 111 115 120재활의학과, 비뇨의학과, 소아청소년과, 피부과, 내과, 이비인후과, 신경외과, 정형외과, 외과<NA><NA><NA>00<NA><NA>0<NA><NA>
45부속의료기관01_01_03_P3290000PHMA32009329002404130000220090213<NA>3폐업3폐업20090629<NA><NA><NA>816-2282<NA>614836부산광역시 부산진구 부암1동 724번지 3호부산광역시 부산진구 백양산로53번길 16 (부암동)<NA>한국의료소비자생활협동조합제일부속의원20090630154648I2018-08-31 23:59:59.0<NA>384898.006163187925.998896부속의원800719.68105 122 106 120 104 101 119진단검사의학과, 내과, 외과, 재활의학과, 신경외과, 가정의학과, 정형외과<NA><NA><NA>00<NA><NA>0<NA><NA>
56부속의료기관01_01_03_P3290000PHMA32001329002404130000120010419<NA>1영업/정상13영업중<NA><NA><NA><NA>051-669-6883<NA>614786부산광역시 부산진구 부전동 535번지 5호부산광역시 부산진구 중앙대로 659 (부전동)47289한화생명보험㈜ 부산부속의원20191220165032U2019-12-22 02:40:00.0<NA>387530.412665185551.561037부속의원100587.4101내과<NA><NA><NA>00<NA><NA>0<NA><NA>
67부속의료기관01_01_03_P3310000PHMA32009331002404130000120090407<NA>3폐업3폐업20090821<NA><NA><NA><NA><NA>602055부산광역시 서구 토성동5가 28번지 1호 동일빌라 201호부산광역시 서구 구덕로 135-8 (토성동5가,동일빌라 201호)<NA>(사)센텀의료소비자생활협동조합 사랑부속의원20090821174734I2018-08-31 23:59:59.0<NA>384208.530135179450.507707부속의원100181.9122 101 111 110 105 114피부과, 정형외과, 산부인과, 소아청소년과, 내과, 가정의학과<NA><NA><NA>00<NA><NA>0<NA><NA>
78부속의료기관01_01_03_P3310000PHMA31974331002404130000119740329<NA>3폐업3폐업20100202<NA><NA><NA>051-611-3622<NA>608805부산광역시 남구 대연3동 74번지 18호부산광역시 남구 용소로8번길 46 (대연동)<NA>대한결핵협회부산시지부 부설 복십자의원20151006093410I2018-08-31 23:59:59.0<NA>391157.370996183859.38962부속의원4000.0101 121결핵과, 내과<NA><NA><NA>00<NA><NA>0<NA><NA>
89부속의료기관01_01_03_P3310000PHMA32010331002404130000120100726<NA>3폐업3폐업20101230<NA><NA><NA><NA><NA>608801부산광역시 남구 감만1동 138번지 59호 2,3층부산광역시 남구 우암로 63 (감만동,2,3층)<NA>감만중앙부속의원20101230145213I2018-08-31 23:59:59.0<NA>389644.331498181652.511643부속의원100181.9101 111 122 105 104 109 114 115 113 119 116영상의학과, 진단검사의학과, 이비인후과, 비뇨의학과, 피부과, 마취통증의학과, 외과, 정형외과, 가정의학과, 소아청소년과, 내과<NA><NA><NA>00<NA><NA>0<NA><NA>
910부속의료기관01_01_03_P3310000PHMA32012331002402130000120121214<NA>1영업/정상13영업중<NA><NA><NA><NA>051-679-5280<NA>608091부산광역시 남구 용호1동 943번지 사서함7-64호부산광역시 남구 백운포로 95 (용호동)48563해군작전사령부부산기지전대의무대20170131115502I2018-08-31 23:59:59.0<NA>391786.06911179732.696282의무대200330.0605의무대<NA><NA><NA>00<NA><NA>0<NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자Unnamed: 44
1920부속의료기관01_01_03_P3360000PHMA31986336002404130000119861127<NA>1영업/정상13영업중<NA><NA><NA><NA>051-970-5182<NA><NA>부산광역시 강서구 대저2동 103번지 1호부산광역시 강서구 테크센터로 55, 창공회관 3층동 (대저2동)46712대한항공김해부속의원20190207231315U2019-02-09 02:40:00.0<NA>375751.958407188590.806113부속의원400388.0101 104외과, 내과<NA><NA><NA>00<NA><NA>0<NA><NA>
2021부속의료기관01_01_03_P3360000PHMA32010336002404130000120100419<NA>1영업/정상13영업중<NA><NA><NA><NA>051-970-9123<NA><NA>부산광역시 강서구 송정동 1623번지 2호부산광역시 강서구 녹산산업중로 333, 14동 2층 (송정동)46754삼성전기부속의원20210430074317U2021-05-02 02:40:00.0<NA>369169.33014178979.31994부속의원300237.6122가정의학과<NA><NA><NA>00<NA><NA>0<NA><NA>
2122부속의료기관01_01_03_P3360000PHMA32013336002402130000220170725<NA>1영업/정상13영업중<NA><NA><NA><NA>051-979-2401<NA><NA>부산광역시 강서구 대저2동부산광역시 강서구 공항진입로42번길 54 (대저2동)46718공군제5공중기동비행단 제5항공의무대대(의무대)20190805155521U2019-08-07 02:40:00.0<NA>377149.244715189381.096185의무대11001090.0605의무대<NA><NA><NA>00<NA><NA>0<NA><NA>
2223부속의료기관01_01_03_P3360000PHMA32014336002404130000120140827<NA>1영업/정상13영업중<NA><NA><NA><NA>051979-9089<NA><NA><NA>부산광역시 강서구 르노삼성대로 61 (신호동)46758르노삼성자동차부속의원20210430074318U2021-05-02 02:40:00.0<NA>371070.269343178844.957191부속의원300580.0101 104 105내과, 외과, 정형외과<NA><NA><NA>00<NA><NA>0<NA><NA>
2324부속의료기관01_01_03_P3370000PHMA32015337002204130000120150120<NA>1영업/정상13영업중<NA><NA><NA><NA>051-590-0166<NA>611741부산광역시 연제구 거제동 1500번지부산광역시 연제구 법원로 31, 16층 (거제동)47510부산법원종합청사 부속의원20190510001312U2019-05-12 02:40:00.0<NA>388768.843267190117.181901부속의원10082.58101 122가정의학과, 내과<NA><NA><NA>00<NA><NA>0<NA><NA>
2425부속의료기관01_01_03_P3380000PHMA32009338002304130000120090807<NA>3폐업3폐업20110729<NA><NA><NA><NA><NA>613805부산광역시 수영구 광안2동 191번지 6호 류빈비치빌 101호부산광역시 수영구 광남로 150 (광안동,류빈비치빌 101호)<NA>아가페의료소비자생활협동조합 부속 차생한의원20111213110452I2018-08-31 23:59:59.0<NA>392936.498804185987.595264부속의원100150.0607기타<NA><NA><NA>00<NA><NA>0<NA><NA>
2526부속의료기관01_01_03_P3380000PHMA32004338002302130000120040629<NA>1영업/정상13영업중<NA><NA><NA><NA>6675317<NA>613707부산광역시 수영구 망미동 640번지 5호 부산지방병무청부산광역시 수영구 연수로 301 (망미동)48208부산지방병무청20150605102319I2018-08-31 23:59:59.0<NA>391569.236337188053.038717병무청10110.0604병무청<NA><NA><NA>00<NA><NA>0<NA><NA>
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