Overview

Dataset statistics

Number of variables45
Number of observations133
Missing cells2948
Missing cells (%)49.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory51.3 KiB
Average record size in memory395.0 B

Variable types

Numeric8
Categorical10
Text5
Unsupported21
DateTime1

Dataset

Description2021-04-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123008

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
영업상태구분코드 is highly imbalanced (52.6%)Imbalance
영업상태명 is highly imbalanced (52.6%)Imbalance
상세영업상태코드 is highly imbalanced (62.3%)Imbalance
상세영업상태명 is highly imbalanced (62.3%)Imbalance
인허가취소일자 has 133 (100.0%) missing valuesMissing
폐업일자 has 133 (100.0%) missing valuesMissing
휴업시작일자 has 133 (100.0%) missing valuesMissing
휴업종료일자 has 133 (100.0%) missing valuesMissing
재개업일자 has 133 (100.0%) missing valuesMissing
소재지전화 has 48 (36.1%) missing valuesMissing
소재지면적 has 133 (100.0%) missing valuesMissing
소재지우편번호 has 31 (23.3%) missing valuesMissing
소재지전체주소 has 7 (5.3%) missing valuesMissing
도로명전체주소 has 3 (2.3%) missing valuesMissing
도로명우편번호 has 62 (46.6%) missing valuesMissing
업태구분명 has 133 (100.0%) missing valuesMissing
좌표정보(x) has 2 (1.5%) missing valuesMissing
좌표정보(y) has 2 (1.5%) missing valuesMissing
의료기관종별명 has 133 (100.0%) missing valuesMissing
의료인수 has 133 (100.0%) missing valuesMissing
입원실수 has 133 (100.0%) missing valuesMissing
병상수 has 133 (100.0%) missing valuesMissing
총면적 has 133 (100.0%) missing valuesMissing
진료과목내용 has 133 (100.0%) missing valuesMissing
진료과목내용명 has 133 (100.0%) missing valuesMissing
지정취소일자 has 133 (100.0%) missing valuesMissing
완화의료지정형태 has 133 (100.0%) missing valuesMissing
완화의료담당부서명 has 133 (100.0%) missing valuesMissing
총인원 has 133 (100.0%) missing valuesMissing
구조사수 has 133 (100.0%) missing valuesMissing
최초지정일자 has 133 (100.0%) missing valuesMissing
Unnamed: 44 has 133 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐업일자 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
의료기관종별명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의료인수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
입원실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
병상수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
진료과목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
진료과목내용명 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

Reproduction

Analysis started2024-04-19 06:07:37.712066
Analysis finished2024-04-19 06:07:38.267027
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct133
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67
Minimum1
Maximum133
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-19T15:07:38.335785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.6
Q134
median67
Q3100
95-th percentile126.4
Maximum133
Range132
Interquartile range (IQR)66

Descriptive statistics

Standard deviation38.53786
Coefficient of variation (CV)0.57519194
Kurtosis-1.2
Mean67
Median Absolute Deviation (MAD)33
Skewness0
Sum8911
Variance1485.1667
MonotonicityStrictly increasing
2024-04-19T15:07:38.474549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
85 1
 
0.8%
99 1
 
0.8%
98 1
 
0.8%
97 1
 
0.8%
96 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
Other values (123) 123
92.5%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
133 1
0.8%
132 1
0.8%
131 1
0.8%
130 1
0.8%
129 1
0.8%
128 1
0.8%
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
의료법인
133 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의료법인 133
100.0%

Length

2024-04-19T15:07:38.609861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:07:38.715289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의료법인 133
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
01_01_08_P
133 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row01_01_08_P
2nd row01_01_08_P
3rd row01_01_08_P
4th row01_01_08_P
5th row01_01_08_P

Common Values

ValueCountFrequency (%)
01_01_08_P 133
100.0%

Length

2024-04-19T15:07:38.804340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:07:38.891791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_01_08_p 133
100.0%

개방자치단체코드
Real number (ℝ)

Distinct15
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3334285.7
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-19T15:07:38.976982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3270000
Q13300000
median3340000
Q33370000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)70000

Descriptive statistics

Standard deviation40081.087
Coefficient of variation (CV)0.012020891
Kurtosis-0.95060747
Mean3334285.7
Median Absolute Deviation (MAD)30000
Skewness-0.11299042
Sum4.4346 × 108
Variance1.6064935 × 109
MonotonicityIncreasing
2024-04-19T15:07:39.098300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
3340000 17
12.8%
3390000 13
9.8%
3330000 12
9.0%
3350000 12
9.0%
3320000 11
8.3%
3370000 11
8.3%
3300000 10
7.5%
3290000 9
6.8%
3380000 9
6.8%
3270000 8
 
6.0%
Other values (5) 21
15.8%
ValueCountFrequency (%)
3250000 1
 
0.8%
3260000 4
 
3.0%
3270000 8
6.0%
3280000 4
 
3.0%
3290000 9
6.8%
3300000 10
7.5%
3310000 6
 
4.5%
3320000 11
8.3%
3330000 12
9.0%
3340000 17
12.8%
ValueCountFrequency (%)
3400000 6
 
4.5%
3390000 13
9.8%
3380000 9
6.8%
3370000 11
8.3%
3350000 12
9.0%
3340000 17
12.8%
3330000 12
9.0%
3320000 11
8.3%
3310000 6
 
4.5%
3300000 10
7.5%

관리번호
Text

UNIQUE 

Distinct133
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-19T15:07:39.289724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters3325
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

Unique133 ?
Unique (%)100.0%

Sample

1st rowPHMA420013250021021400001
2nd rowPHMA420073260022021400001
3rd rowPHMA420113260022021400001
4th rowPHMA420133260022021400002
5th rowPHMA420133260022021400001
ValueCountFrequency (%)
phma420013250021021400001 1
 
0.8%
phma420143340025021400002 1
 
0.8%
phma420093370022021400001 1
 
0.8%
phma420083370022021400002 1
 
0.8%
phma420083370022021400001 1
 
0.8%
phma419973370022021400001 1
 
0.8%
phma420073370022021400002 1
 
0.8%
phma419933350024021400001 1
 
0.8%
phma420173350024021400001 1
 
0.8%
phma420103350024021400001 1
 
0.8%
Other values (123) 123
92.5%
2024-04-19T15:07:39.597885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1153
34.7%
2 473
14.2%
4 365
 
11.0%
1 340
 
10.2%
3 294
 
8.8%
P 133
 
4.0%
H 133
 
4.0%
M 133
 
4.0%
A 133
 
4.0%
5 52
 
1.6%
Other values (4) 116
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2793
84.0%
Uppercase Letter 532
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1153
41.3%
2 473
16.9%
4 365
 
13.1%
1 340
 
12.2%
3 294
 
10.5%
5 52
 
1.9%
9 44
 
1.6%
7 34
 
1.2%
8 28
 
1.0%
6 10
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
P 133
25.0%
H 133
25.0%
M 133
25.0%
A 133
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2793
84.0%
Latin 532
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1153
41.3%
2 473
16.9%
4 365
 
13.1%
1 340
 
12.2%
3 294
 
10.5%
5 52
 
1.9%
9 44
 
1.6%
7 34
 
1.2%
8 28
 
1.0%
6 10
 
0.4%
Latin
ValueCountFrequency (%)
P 133
25.0%
H 133
25.0%
M 133
25.0%
A 133
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3325
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1153
34.7%
2 473
14.2%
4 365
 
11.0%
1 340
 
10.2%
3 294
 
8.8%
P 133
 
4.0%
H 133
 
4.0%
M 133
 
4.0%
A 133
 
4.0%
5 52
 
1.6%
Other values (4) 116
 
3.5%

인허가일자
Real number (ℝ)

Distinct124
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20084495
Minimum19901107
Maximum20201211
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-19T15:07:39.738056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19901107
5-th percentile19955160
Q120061222
median20100216
Q320120927
95-th percentile20164768
Maximum20201211
Range300104
Interquartile range (IQR)59705

Descriptive statistics

Standard deviation60668.917
Coefficient of variation (CV)0.0030206842
Kurtosis1.08244
Mean20084495
Median Absolute Deviation (MAD)30103
Skewness-0.9735893
Sum2.6712379 × 109
Variance3.6807175 × 109
MonotonicityNot monotonic
2024-04-19T15:07:39.871891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000726 4
 
3.0%
20010801 2
 
1.5%
20040128 2
 
1.5%
20070801 2
 
1.5%
20041206 2
 
1.5%
20100216 2
 
1.5%
20070702 2
 
1.5%
20120109 1
 
0.8%
20080402 1
 
0.8%
20101026 1
 
0.8%
Other values (114) 114
85.7%
ValueCountFrequency (%)
19901107 1
0.8%
19910410 1
0.8%
19920930 1
0.8%
19921118 1
0.8%
19921125 1
0.8%
19930729 1
0.8%
19931206 1
0.8%
19971129 1
0.8%
19990427 1
0.8%
20000214 1
0.8%
ValueCountFrequency (%)
20201211 1
0.8%
20190620 1
0.8%
20190402 1
0.8%
20180115 1
0.8%
20171024 1
0.8%
20170901 1
0.8%
20170403 1
0.8%
20161011 1
0.8%
20160321 1
0.8%
20151231 1
0.8%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
113 
4
13 
3
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row4

Common Values

ValueCountFrequency (%)
1 113
85.0%
4 13
 
9.8%
3 7
 
5.3%

Length

2024-04-19T15:07:40.001111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:07:40.093980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 113
85.0%
4 13
 
9.8%
3 7
 
5.3%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
영업/정상
113 
취소/말소/만료/정지/중지
13 
폐업
 
7

Length

Max length14
Median length5
Mean length5.7218045
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
영업/정상 113
85.0%
취소/말소/만료/정지/중지 13
 
9.8%
폐업 7
 
5.3%

Length

2024-04-19T15:07:40.240587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:07:40.359893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 113
85.0%
취소/말소/만료/정지/중지 13
 
9.8%
폐업 7
 
5.3%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
10
111 
24
13 
3
 
7
1
 
1
13
 
1

Length

Max length2
Median length2
Mean length1.9398496
Min length1

Unique

Unique2 ?
Unique (%)1.5%

Sample

1st row10
2nd row10
3rd row10
4th row10
5th row24

Common Values

ValueCountFrequency (%)
10 111
83.5%
24 13
 
9.8%
3 7
 
5.3%
1 1
 
0.8%
13 1
 
0.8%

Length

2024-04-19T15:07:40.469253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:07:40.578707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10 111
83.5%
24 13
 
9.8%
3 7
 
5.3%
1 1
 
0.8%
13 1
 
0.8%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
변경
111 
직권폐업
13 
폐업
 
7
신규
 
1
영업중
 
1

Length

Max length4
Median length2
Mean length2.2030075
Min length2

Unique

Unique2 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
변경 111
83.5%
직권폐업 13
 
9.8%
폐업 7
 
5.3%
신규 1
 
0.8%
영업중 1
 
0.8%

Length

2024-04-19T15:07:40.695302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:07:40.807103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
변경 111
83.5%
직권폐업 13
 
9.8%
폐업 7
 
5.3%
신규 1
 
0.8%
영업중 1
 
0.8%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

소재지전화
Text

MISSING 

Distinct85
Distinct (%)100.0%
Missing48
Missing (%)36.1%
Memory size1.2 KiB
2024-04-19T15:07:41.060135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length10.658824
Min length8

Characters and Unicode

Total characters906
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

Unique85 ?
Unique (%)100.0%

Sample

1st row466-0008
2nd row051-243-5933
3rd row258-8275
4th row051-988-8234
5th row051-464-2753
ValueCountFrequency (%)
051-664-4000 1
 
1.2%
755-3061 1
 
1.2%
051-503-7871 1
 
1.2%
051-867-4428 1
 
1.2%
051-866-5300 1
 
1.2%
051)553-9000 1
 
1.2%
051-529-2408 1
 
1.2%
468-9788 1
 
1.2%
051-517-8211 1
 
1.2%
931-0119 1
 
1.2%
Other values (75) 75
88.2%
2024-04-19T15:07:41.781026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 157
17.3%
- 135
14.9%
5 131
14.5%
1 126
13.9%
3 62
 
6.8%
8 61
 
6.7%
7 61
 
6.7%
6 51
 
5.6%
2 48
 
5.3%
4 38
 
4.2%
Other values (2) 36
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 766
84.5%
Dash Punctuation 135
 
14.9%
Close Punctuation 5
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 157
20.5%
5 131
17.1%
1 126
16.4%
3 62
 
8.1%
8 61
 
8.0%
7 61
 
8.0%
6 51
 
6.7%
2 48
 
6.3%
4 38
 
5.0%
9 31
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 135
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 906
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 157
17.3%
- 135
14.9%
5 131
14.5%
1 126
13.9%
3 62
 
6.8%
8 61
 
6.7%
7 61
 
6.7%
6 51
 
5.6%
2 48
 
5.3%
4 38
 
4.2%
Other values (2) 36
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 906
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 157
17.3%
- 135
14.9%
5 131
14.5%
1 126
13.9%
3 62
 
6.8%
8 61
 
6.7%
7 61
 
6.7%
6 51
 
5.6%
2 48
 
5.3%
4 38
 
4.2%
Other values (2) 36
 
4.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)90.2%
Missing31
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean611130.8
Minimum600817
Maximum619961
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-19T15:07:41.927077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600817
5-th percentile601877.4
Q1607808.75
median611839
Q3614852.25
95-th percentile617840.95
Maximum619961
Range19144
Interquartile range (IQR)7043.5

Descriptive statistics

Standard deviation5150.7633
Coefficient of variation (CV)0.0084282501
Kurtosis-0.92498228
Mean611130.8
Median Absolute Deviation (MAD)4005.5
Skewness-0.2485644
Sum62335342
Variance26530362
MonotonicityNot monotonic
2024-04-19T15:07:42.074853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
611839 3
 
2.3%
607834 2
 
1.5%
602816 2
 
1.5%
619904 2
 
1.5%
613100 2
 
1.5%
611824 2
 
1.5%
614813 2
 
1.5%
616824 2
 
1.5%
612052 2
 
1.5%
611817 1
 
0.8%
Other values (82) 82
61.7%
(Missing) 31
 
23.3%
ValueCountFrequency (%)
600817 1
0.8%
601723 1
0.8%
601804 1
0.8%
601813 1
0.8%
601822 1
0.8%
601828 1
0.8%
602816 2
1.5%
602832 1
0.8%
604040 1
0.8%
604070 1
0.8%
ValueCountFrequency (%)
619961 1
0.8%
619906 1
0.8%
619904 2
1.5%
617845 1
0.8%
617841 1
0.8%
617840 1
0.8%
617839 1
0.8%
617831 1
0.8%
617826 1
0.8%
617810 1
0.8%

소재지전체주소
Text

MISSING 

Distinct124
Distinct (%)98.4%
Missing7
Missing (%)5.3%
Memory size1.2 KiB
2024-04-19T15:07:42.439848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length40
Mean length24.119048
Min length18

Characters and Unicode

Total characters3039
Distinct characters155
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)96.8%

Sample

1st row부산광역시 중구 중앙동4가 80번지 8호
2nd row부산광역시 서구 암남동 759-1
3rd row부산광역시 서구 암남동 산 164번지 3호
4th row부산광역시 서구 부민동1가 31번지
5th row부산광역시 서구 부민동1가 16번지 1호
ValueCountFrequency (%)
부산광역시 126
 
19.1%
1호 18
 
2.7%
사하구 17
 
2.6%
사상구 13
 
2.0%
해운대구 12
 
1.8%
연제구 11
 
1.7%
부산진구 11
 
1.7%
동래구 10
 
1.5%
3호 10
 
1.5%
수영구 9
 
1.4%
Other values (269) 422
64.0%
2024-04-19T15:07:42.939915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
534
17.6%
산 154
 
5.1%
부 144
 
4.7%
동 138
 
4.5%
1 136
 
4.5%
광 134
 
4.4%
시 127
 
4.2%
역 126
 
4.1%
구 126
 
4.1%
지 125
 
4.1%
Other values (145) 1295
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1873
61.6%
Decimal Number 618
 
20.3%
Space Separator 534
 
17.6%
Other Punctuation 5
 
0.2%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%
Dash Punctuation 2
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 154
 
8.2%
부 144
 
7.7%
동 138
 
7.4%
광 134
 
7.2%
시 127
 
6.8%
역 126
 
6.7%
구 126
 
6.7%
지 125
 
6.7%
번 122
 
6.5%
호 116
 
6.2%
Other values (128) 561
30.0%
Decimal Number
ValueCountFrequency (%)
1 136
22.0%
3 78
12.6%
2 72
11.7%
4 64
10.4%
7 55
8.9%
6 50
 
8.1%
9 47
 
7.6%
5 45
 
7.3%
0 43
 
7.0%
8 28
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
, 2
40.0%
Space Separator
ValueCountFrequency (%)
534
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1873
61.6%
Common 1166
38.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 154
 
8.2%
부 144
 
7.7%
동 138
 
7.4%
광 134
 
7.2%
시 127
 
6.8%
역 126
 
6.7%
구 126
 
6.7%
지 125
 
6.7%
번 122
 
6.5%
호 116
 
6.2%
Other values (128) 561
30.0%
Common
ValueCountFrequency (%)
534
45.8%
1 136
 
11.7%
3 78
 
6.7%
2 72
 
6.2%
4 64
 
5.5%
7 55
 
4.7%
6 50
 
4.3%
9 47
 
4.0%
5 45
 
3.9%
0 43
 
3.7%
Other values (7) 42
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1873
61.6%
ASCII 1166
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
534
45.8%
1 136
 
11.7%
3 78
 
6.7%
2 72
 
6.2%
4 64
 
5.5%
7 55
 
4.7%
6 50
 
4.3%
9 47
 
4.0%
5 45
 
3.9%
0 43
 
3.7%
Other values (7) 42
 
3.6%
Hangul
ValueCountFrequency (%)
산 154
 
8.2%
부 144
 
7.7%
동 138
 
7.4%
광 134
 
7.2%
시 127
 
6.8%
역 126
 
6.7%
구 126
 
6.7%
지 125
 
6.7%
번 122
 
6.5%
호 116
 
6.2%
Other values (128) 561
30.0%

도로명전체주소
Text

MISSING 

Distinct127
Distinct (%)97.7%
Missing3
Missing (%)2.3%
Memory size1.2 KiB
2024-04-19T15:07:43.329181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length40
Mean length26.530769
Min length21

Characters and Unicode

Total characters3449
Distinct characters189
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique124 ?
Unique (%)95.4%

Sample

1st row부산광역시 중구 충장대로13번길 31 (중앙동4가)
2nd row부산광역시 서구 암남공원로 522 (암남동)
3rd row부산광역시 서구 구덕로200번길 8 (부민동1가)
4th row부산광역시 서구 구덕로 220 (부민동1가)
5th row부산광역시 동구 고관로 81 (수정동)
ValueCountFrequency (%)
부산광역시 130
 
19.0%
사하구 17
 
2.5%
사상구 13
 
1.9%
금정구 12
 
1.8%
부산진구 11
 
1.6%
해운대구 11
 
1.6%
연제구 11
 
1.6%
북구 11
 
1.6%
동래구 10
 
1.5%
중앙대로 9
 
1.3%
Other values (307) 449
65.6%
2024-04-19T15:07:43.883519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
554
 
16.1%
산 157
 
4.6%
동 155
 
4.5%
부 150
 
4.3%
광 143
 
4.1%
구 133
 
3.9%
시 132
 
3.8%
역 130
 
3.8%
) 129
 
3.7%
( 129
 
3.7%
Other values (179) 1637
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2122
61.5%
Space Separator 554
 
16.1%
Decimal Number 464
 
13.5%
Close Punctuation 129
 
3.7%
Open Punctuation 129
 
3.7%
Other Punctuation 39
 
1.1%
Dash Punctuation 10
 
0.3%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 157
 
7.4%
동 155
 
7.3%
부 150
 
7.1%
광 143
 
6.7%
구 133
 
6.3%
시 132
 
6.2%
역 130
 
6.1%
로 125
 
5.9%
대 66
 
3.1%
길 40
 
1.9%
Other values (162) 891
42.0%
Decimal Number
ValueCountFrequency (%)
1 99
21.3%
2 56
12.1%
3 54
11.6%
0 50
10.8%
7 44
9.5%
4 44
9.5%
5 39
 
8.4%
6 35
 
7.5%
8 29
 
6.2%
9 14
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 36
92.3%
. 3
 
7.7%
Space Separator
ValueCountFrequency (%)
554
100.0%
Close Punctuation
ValueCountFrequency (%)
) 129
100.0%
Open Punctuation
ValueCountFrequency (%)
( 129
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2122
61.5%
Common 1327
38.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 157
 
7.4%
동 155
 
7.3%
부 150
 
7.1%
광 143
 
6.7%
구 133
 
6.3%
시 132
 
6.2%
역 130
 
6.1%
로 125
 
5.9%
대 66
 
3.1%
길 40
 
1.9%
Other values (162) 891
42.0%
Common
ValueCountFrequency (%)
554
41.7%
) 129
 
9.7%
( 129
 
9.7%
1 99
 
7.5%
2 56
 
4.2%
3 54
 
4.1%
0 50
 
3.8%
7 44
 
3.3%
4 44
 
3.3%
5 39
 
2.9%
Other values (7) 129
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2122
61.5%
ASCII 1327
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
554
41.7%
) 129
 
9.7%
( 129
 
9.7%
1 99
 
7.5%
2 56
 
4.2%
3 54
 
4.1%
0 50
 
3.8%
7 44
 
3.3%
4 44
 
3.3%
5 39
 
2.9%
Other values (7) 129
 
9.7%
Hangul
ValueCountFrequency (%)
산 157
 
7.4%
동 155
 
7.3%
부 150
 
7.1%
광 143
 
6.7%
구 133
 
6.3%
시 132
 
6.2%
역 130
 
6.1%
로 125
 
5.9%
대 66
 
3.1%
길 40
 
1.9%
Other values (162) 891
42.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct65
Distinct (%)91.5%
Missing62
Missing (%)46.6%
Infinite0
Infinite (%)0.0%
Mean373106.75
Minimum46017
Maximum617831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-19T15:07:44.029268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46017
5-th percentile46333.5
Q148368
median604813
Q3612981.5
95-th percentile616831.5
Maximum617831
Range571814
Interquartile range (IQR)564613.5

Descriptive statistics

Standard deviation280230.02
Coefficient of variation (CV)0.75107198
Kurtosis-1.9526654
Mean373106.75
Median Absolute Deviation (MAD)12011
Skewness-0.31988736
Sum26490579
Variance7.8528866 × 1010
MonotonicityNot monotonic
2024-04-19T15:07:44.161082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
602816 2
 
1.5%
48459 2
 
1.5%
47318 2
 
1.5%
616807 2
 
1.5%
49035 2
 
1.5%
616824 2
 
1.5%
609811 1
 
0.8%
609803 1
 
0.8%
609843 1
 
0.8%
46334 1
 
0.8%
Other values (55) 55
41.4%
(Missing) 62
46.6%
ValueCountFrequency (%)
46017 1
0.8%
46301 1
0.8%
46313 1
0.8%
46333 1
0.8%
46334 1
0.8%
46524 1
0.8%
46548 1
0.8%
46937 1
0.8%
46954 1
0.8%
47143 1
0.8%
ValueCountFrequency (%)
617831 1
0.8%
617810 1
0.8%
616852 1
0.8%
616832 1
0.8%
616831 1
0.8%
616824 2
1.5%
616813 1
0.8%
616807 2
1.5%
616802 1
0.8%
614883 1
0.8%

사업장명
Text

Distinct128
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-19T15:07:44.402720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length11
Mean length10.947368
Min length6

Characters and Unicode

Total characters1456
Distinct characters149
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

Unique123 ?
Unique (%)92.5%

Sample

1st row의료법인 송산의료재단
2nd row의료법인 장원
3rd row의료법인 송해의료재단
4th row의료법인 선하의료재단
5th row대한의료재단
ValueCountFrequency (%)
의료법인 112
44.8%
의료재단 5
 
2.0%
경산의료재단 2
 
0.8%
청십자의료재단 2
 
0.8%
인당의료재단 2
 
0.8%
은경의료재단 2
 
0.8%
송산의료재단 2
 
0.8%
인창의료재단 1
 
0.4%
세왕의료재단 1
 
0.4%
영파의료재단 1
 
0.4%
Other values (120) 120
48.0%
2024-04-19T15:07:44.789606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 257
17.7%
료 255
17.5%
인 135
9.3%
재 134
9.2%
단 132
9.1%
법 125
8.6%
117
8.0%
은 9
 
0.6%
성 8
 
0.5%
한 8
 
0.5%
Other values (139) 276
19.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1333
91.6%
Space Separator 117
 
8.0%
Open Punctuation 3
 
0.2%
Close Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 257
19.3%
료 255
19.1%
인 135
10.1%
재 134
10.1%
단 132
9.9%
법 125
9.4%
은 9
 
0.7%
성 8
 
0.6%
한 8
 
0.6%
산 7
 
0.5%
Other values (136) 263
19.7%
Space Separator
ValueCountFrequency (%)
117
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1333
91.6%
Common 123
 
8.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 257
19.3%
료 255
19.1%
인 135
10.1%
재 134
10.1%
단 132
9.9%
법 125
9.4%
은 9
 
0.7%
성 8
 
0.6%
한 8
 
0.6%
산 7
 
0.5%
Other values (136) 263
19.7%
Common
ValueCountFrequency (%)
117
95.1%
( 3
 
2.4%
) 3
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1333
91.6%
ASCII 123
 
8.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 257
19.3%
료 255
19.1%
인 135
10.1%
재 134
10.1%
단 132
9.9%
법 125
9.4%
은 9
 
0.7%
성 8
 
0.6%
한 8
 
0.6%
산 7
 
0.5%
Other values (136) 263
19.7%
ASCII
ValueCountFrequency (%)
117
95.1%
( 3
 
2.4%
) 3
 
2.4%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct133
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0190507 × 1013
Minimum2.0090606 × 1013
Maximum2.0210201 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-19T15:07:44.947170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0090606 × 1013
5-th percentile2.0130703 × 1013
Q12.019101 × 1013
median2.0200427 × 1013
Q32.0201028 × 1013
95-th percentile2.0201229 × 1013
Maximum2.0210201 × 1013
Range1.1959505 × 1011
Interquartile range (IQR)1.0018048 × 1010

Descriptive statistics

Standard deviation2.2051182 × 1010
Coefficient of variation (CV)0.0010921559
Kurtosis5.7028702
Mean2.0190507 × 1013
Median Absolute Deviation (MAD)7.7697781 × 108
Skewness-2.4434843
Sum2.6853375 × 1015
Variance4.8625462 × 1020
MonotonicityNot monotonic
2024-04-19T15:07:45.106592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200929161019 1
 
0.8%
20170530110626 1
 
0.8%
20200904165010 1
 
0.8%
20200529091702 1
 
0.8%
20200424135451 1
 
0.8%
20170403175650 1
 
0.8%
20170403175920 1
 
0.8%
20120912104730 1
 
0.8%
20201019094523 1
 
0.8%
20200413173237 1
 
0.8%
Other values (123) 123
92.5%
ValueCountFrequency (%)
20090606130619 1
0.8%
20120319105957 1
0.8%
20120321150800 1
0.8%
20120321151020 1
0.8%
20120714144010 1
0.8%
20120912104730 1
0.8%
20130529172819 1
0.8%
20130819142449 1
0.8%
20140825132847 1
0.8%
20150126173356 1
0.8%
ValueCountFrequency (%)
20210201182240 1
0.8%
20210114142538 1
0.8%
20210113152609 1
0.8%
20210108164205 1
0.8%
20201229155838 1
0.8%
20201229131605 1
0.8%
20201229094228 1
0.8%
20201228141104 1
0.8%
20201224110203 1
0.8%
20201221151708 1
0.8%

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
U
108 
I
25 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 108
81.2%
I 25
 
18.8%

Length

2024-04-19T15:07:45.237643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:07:45.334518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 108
81.2%
i 25
 
18.8%

데이터갱신일자
Date

Distinct83
Distinct (%)62.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-02-03 02:40:00
2024-04-19T15:07:45.439245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:07:45.596332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct128
Distinct (%)97.7%
Missing2
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean387699.45
Minimum378900.27
Maximum402682.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-19T15:07:45.773251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum378900.27
5-th percentile379949.99
Q1382934.97
median388199.15
Q3390724.65
95-th percentile398090.03
Maximum402682.08
Range23781.807
Interquartile range (IQR)7789.6864

Descriptive statistics

Standard deviation5402.8893
Coefficient of variation (CV)0.013935767
Kurtosis-0.050574667
Mean387699.45
Median Absolute Deviation (MAD)3912.6755
Skewness0.42105216
Sum50788627
Variance29191213
MonotonicityNot monotonic
2024-04-19T15:07:45.907933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
382934.966706589 2
 
1.5%
384430.630690869 2
 
1.5%
389444.436546193 2
 
1.5%
382236.047682303 1
 
0.8%
390232.133545124 1
 
0.8%
389635.724055848 1
 
0.8%
388143.079139147 1
 
0.8%
390140.882839673 1
 
0.8%
390696.531499957 1
 
0.8%
389626.660124138 1
 
0.8%
Other values (118) 118
88.7%
(Missing) 2
 
1.5%
ValueCountFrequency (%)
378900.272498364 1
0.8%
378917.878813043 1
0.8%
378931.71507301 1
0.8%
379075.879760915 1
0.8%
379731.953370869 1
0.8%
379749.504273598 1
0.8%
379780.712790863 1
0.8%
380119.276907337 1
0.8%
380191.099082637 1
0.8%
380368.591336941 1
0.8%
ValueCountFrequency (%)
402682.079170096 1
0.8%
402577.95647258 1
0.8%
401705.531424964 1
0.8%
399534.871358373 1
0.8%
399026.88960257 1
0.8%
398461.813174819 1
0.8%
398237.363461482 1
0.8%
397942.700663843 1
0.8%
396697.860724865 1
0.8%
395392.269482646 1
0.8%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct128
Distinct (%)97.7%
Missing2
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean186883.95
Minimum174346.9
Maximum204428.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-19T15:07:46.039322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174346.9
5-th percentile177404.28
Q1183199.75
median187172.76
Q3191175.67
95-th percentile194983.37
Maximum204428.58
Range30081.675
Interquartile range (IQR)7975.922

Descriptive statistics

Standard deviation5837.0898
Coefficient of variation (CV)0.031233767
Kurtosis-0.27169808
Mean186883.95
Median Absolute Deviation (MAD)4001.1044
Skewness-0.0070358809
Sum24481797
Variance34071617
MonotonicityNot monotonic
2024-04-19T15:07:46.184199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
178655.553818779 2
 
1.5%
185721.876196787 2
 
1.5%
189180.052866007 2
 
1.5%
178645.037220561 1
 
0.8%
197020.850422036 1
 
0.8%
189370.50627208 1
 
0.8%
189152.054433716 1
 
0.8%
188959.776075965 1
 
0.8%
188534.215350098 1
 
0.8%
189155.92452213 1
 
0.8%
Other values (118) 118
88.7%
(Missing) 2
 
1.5%
ValueCountFrequency (%)
174346.900965296 1
0.8%
174765.307900471 1
0.8%
175359.769070119 1
0.8%
176482.532331396 1
0.8%
177054.963423796 1
0.8%
177105.206955154 1
0.8%
177393.099628498 1
0.8%
177415.468009 1
0.8%
177447.950671416 1
0.8%
177713.786215514 1
0.8%
ValueCountFrequency (%)
204428.576197141 1
0.8%
199499.913026735 1
0.8%
198471.076852573 1
0.8%
197814.103008063 1
0.8%
197020.850422036 1
0.8%
196281.988973649 1
0.8%
195209.738804405 1
0.8%
194757.00844539 1
0.8%
194695.875746 1
0.8%
194665.052323752 1
0.8%

의료기관종별명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

의료인수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

입원실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

병상수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

총면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

진료과목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

진료과목내용명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

구급차특수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
133 

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 (%)
0 133
100.0%

Length

2024-04-19T15:07:46.330004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:07:46.423419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 133
100.0%

구급차일반
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
133 

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 (%)
0 133
100.0%

Length

2024-04-19T15:07:46.526676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:07:46.645484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 133
100.0%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

허가병상수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
133 

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 (%)
0 133
100.0%

Length

2024-04-19T15:07:46.752752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:07:46.862575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 133
100.0%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 44
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing133
Missing (%)100.0%
Memory size1.3 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자Unnamed: 44
01의료법인01_01_08_P3250000PHMA42001325002102140000120010801<NA>1영업/정상10변경<NA><NA><NA><NA>466-0008<NA>600817부산광역시 중구 중앙동4가 80번지 8호부산광역시 중구 충장대로13번길 31 (중앙동4가)600817의료법인 송산의료재단20200929161019U2020-10-01 02:40:00.0<NA>385777.114157180691.23689<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>00<NA><NA>0<NA><NA>
12의료법인01_01_08_P3260000PHMA42007326002202140000120070702<NA>1영업/정상10변경<NA><NA><NA><NA><NA><NA><NA>부산광역시 서구 암남동 759-1부산광역시 서구 암남공원로 522 (암남동)49268의료법인 장원20201229094228U2020-12-31 02:40:00.0<NA>383422.919256177447.950671<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>00<NA><NA>0<NA><NA>
23의료법인01_01_08_P3260000PHMA42011326002202140000120110414<NA>1영업/정상10변경<NA><NA><NA><NA>051-243-5933<NA>602832부산광역시 서구 암남동 산 164번지 3호<NA><NA>의료법인 송해의료재단20140825132847I2018-08-31 23:59:59.0<NA>383731.266059176482.532331<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>00<NA><NA>0<NA><NA>
34의료법인01_01_08_P3260000PHMA42013326002202140000220131007<NA>1영업/정상10변경<NA><NA><NA><NA><NA><NA>602816부산광역시 서구 부민동1가 31번지부산광역시 서구 구덕로200번길 8 (부민동1가)602816의료법인 선하의료재단20191010114918U2019-10-12 02:40:00.0<NA>384142.330704180011.020776<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>00<NA><NA>0<NA><NA>
45의료법인01_01_08_P3260000PHMA42013326002202140000120130319<NA>4취소/말소/만료/정지/중지24직권폐업<NA><NA><NA><NA>258-8275<NA>602816부산광역시 서구 부민동1가 16번지 1호부산광역시 서구 구덕로 220 (부민동1가)602816대한의료재단20130819142449I2018-08-31 23:59:59.0<NA>384134.718019180208.336036<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>00<NA><NA>0<NA><NA>
56의료법인01_01_08_P3270000PHMA42010327002202140000120100316<NA>3폐업3폐업<NA><NA><NA><NA>051-988-8234<NA>601813부산광역시 동구 수정4동 325번지 3호부산광역시 동구 고관로 81 (수정동)<NA>의료법인 양생의료재단20201207174250U2020-12-09 02:40:00.0<NA>386303.735918182728.409496<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>00<NA><NA>0<NA><NA>
67의료법인01_01_08_P3270000PHMA42008327002202140000220081222<NA>1영업/정상10변경<NA><NA><NA><NA>051-464-2753<NA>601828부산광역시 동구 초량동 172번지 16호부산광역시 동구 중앙대로 243-12 (초량동)<NA>의료법인 소맥의료재단20201207171203U2020-12-09 02:40:00.0<NA>386033.643456181922.612539<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>00<NA><NA>0<NA><NA>
78의료법인01_01_08_P3270000PHMA42004327002202140000120040128<NA>1영업/정상10변경<NA><NA><NA><NA>051-461-3400<NA><NA>부산광역시 남구 대연동 1239번지 19호부산광역시 남구 수영로 164 (대연동)48459의료법인 은경의료재단20201207171314U2020-12-09 02:40:00.0<NA>386163.324269182273.283159<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>00<NA><NA>0<NA><NA>
89의료법인01_01_08_P3270000PHMA42004327002202140000220041206<NA>1영업/정상10변경<NA><NA><NA><NA>051-469-1011<NA><NA>부산광역시 부산진구 전포동 504번지 417호부산광역시 부산진구 봉수로 18, 행복한병원 (전포동)47318의료법인 청십자의료재단20201207171439U2020-12-09 02:40:00.0<NA>386638.064653182878.08528<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>00<NA><NA>0<NA><NA>
910의료법인01_01_08_P3270000PHMA42007327002202140000120070322<NA>1영업/정상10변경<NA><NA><NA><NA>051-643-8100<NA>601804부산광역시 동구 범일동 62번지 744호부산광역시 동구 중앙대로 524 (범일동)<NA>의료법인 인당의료재단20201229131605U2020-12-31 02:40:00.0<NA>387396.483034184255.033852<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>00<NA><NA>0<NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자Unnamed: 44
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124125의료법인01_01_08_P3390000PHMA42011339002302140000520111229<NA>1영업/정상10변경<NA><NA><NA><NA><NA><NA>617831부산광역시 사상구 엄궁동 571번지 4호부산광역시 사상구 대동로 2 (엄궁동)617831의료법인 강혜의료재단20201217160342U2020-12-19 02:40:00.0<NA>379749.504274183171.657466<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>00<NA><NA>0<NA><NA>
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127128의료법인01_01_08_P3400000PHMA42019340001302140000120190402<NA>1영업/정상10변경<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 정관읍 매학리 720번지 7호부산광역시 기장군 정관읍 정관6로 31, 3층 301, 302호46017의료법인 창성의료재단20190725152632U2019-07-27 02:40:00.0<NA>397942.700664204428.576197<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>00<NA><NA>0<NA><NA>
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131132의료법인01_01_08_P3400000PHMA42010340001302140000220100811<NA>1영업/정상10변경<NA><NA><NA><NA>903-8885<NA>619961부산광역시 기장군 정관면 달산리 산47번지<NA><NA>의료법인 정관의료재단20180112084207I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>00<NA><NA>0<NA><NA>
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