Overview

Dataset statistics

Number of variables29
Number of observations1648
Missing cells18457
Missing cells (%)38.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory399.3 KiB
Average record size in memory248.1 B

Variable types

Categorical7
Text6
DateTime4
Numeric4
Unsupported8

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),수리대상 의료기기의 유형,다른 겸업 여부,총규모,영업규모
Author동작구
URLhttps://data.seoul.go.kr/dataList/OA-16449/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (99.3%)Imbalance
상세영업상태코드 is highly imbalanced (50.3%)Imbalance
상세영업상태명 is highly imbalanced (50.3%)Imbalance
폐업일자 has 500 (30.3%) missing valuesMissing
휴업시작일자 has 1389 (84.3%) missing valuesMissing
휴업종료일자 has 1648 (100.0%) missing valuesMissing
재개업일자 has 1648 (100.0%) missing valuesMissing
전화번호 has 674 (40.9%) missing valuesMissing
소재지면적 has 1648 (100.0%) missing valuesMissing
소재지우편번호 has 879 (53.3%) missing valuesMissing
지번주소 has 37 (2.2%) missing valuesMissing
도로명주소 has 404 (24.5%) missing valuesMissing
도로명우편번호 has 588 (35.7%) missing valuesMissing
업태구분명 has 1648 (100.0%) missing valuesMissing
좌표정보(X) has 401 (24.3%) missing valuesMissing
좌표정보(Y) has 401 (24.3%) missing valuesMissing
수리대상 의료기기의 유형 has 1648 (100.0%) missing valuesMissing
다른 겸업 여부 has 1648 (100.0%) missing valuesMissing
총규모 has 1648 (100.0%) missing valuesMissing
영업규모 has 1648 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
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
수리대상 의료기기의 유형 is an unsupported type, check if it needs cleaning or further analysisUnsupported
다른 겸업 여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총규모 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영업규모 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 00:26:05.475528
Analysis finished2024-05-11 00:26:08.332592
Duration2.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
3190000
1648 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3190000
2nd row3190000
3rd row3190000
4th row3190000
5th row3190000

Common Values

ValueCountFrequency (%)
3190000 1648
100.0%

Length

2024-05-11T00:26:08.550338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:26:08.994982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3190000 1648
100.0%

관리번호
Text

UNIQUE 

Distinct1648
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
2024-05-11T00:26:09.453323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters41200
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

Unique1648 ?
Unique (%)100.0%

Sample

1st rowPHMG119853190033047000001
2nd rowPHMG119883190033047000001
3rd rowPHMG119903190033047000001
4th rowPHMG119913190033047000001
5th rowPHMG119913190033047000002
ValueCountFrequency (%)
phmg119853190033047000001 1
 
0.1%
phmg120173190033047000024 1
 
0.1%
phmg120173190033047000040 1
 
0.1%
phmg120173190033047000037 1
 
0.1%
phmg120173190033047000036 1
 
0.1%
phmg120173190033047000035 1
 
0.1%
phmg120173190033047000033 1
 
0.1%
phmg120173190033047000032 1
 
0.1%
phmg120173190033047000028 1
 
0.1%
phmg120173190033047000027 1
 
0.1%
Other values (1638) 1638
99.4%
2024-05-11T00:26:10.360889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 14027
34.0%
3 5545
 
13.5%
1 4801
 
11.7%
2 2786
 
6.8%
4 2241
 
5.4%
9 2020
 
4.9%
7 1973
 
4.8%
P 1648
 
4.0%
H 1648
 
4.0%
M 1648
 
4.0%
Other values (4) 2863
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 34608
84.0%
Uppercase Letter 6592
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14027
40.5%
3 5545
 
16.0%
1 4801
 
13.9%
2 2786
 
8.1%
4 2241
 
6.5%
9 2020
 
5.8%
7 1973
 
5.7%
5 479
 
1.4%
6 417
 
1.2%
8 319
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
P 1648
25.0%
H 1648
25.0%
M 1648
25.0%
G 1648
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 34608
84.0%
Latin 6592
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 14027
40.5%
3 5545
 
16.0%
1 4801
 
13.9%
2 2786
 
8.1%
4 2241
 
6.5%
9 2020
 
5.8%
7 1973
 
5.7%
5 479
 
1.4%
6 417
 
1.2%
8 319
 
0.9%
Latin
ValueCountFrequency (%)
P 1648
25.0%
H 1648
25.0%
M 1648
25.0%
G 1648
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 14027
34.0%
3 5545
 
13.5%
1 4801
 
11.7%
2 2786
 
6.8%
4 2241
 
5.4%
9 2020
 
4.9%
7 1973
 
4.8%
P 1648
 
4.0%
H 1648
 
4.0%
M 1648
 
4.0%
Other values (4) 2863
 
6.9%

인허가일자
Date

Distinct1313
Distinct (%)79.7%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
Minimum1985-02-27 00:00:00
Maximum2024-05-08 00:00:00
2024-05-11T00:26:10.803722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:26:11.300646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
<NA>
1647 
20221027
 
1

Length

Max length8
Median length4
Mean length4.0024272
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1647
99.9%
20221027 1
 
0.1%

Length

2024-05-11T00:26:11.767485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:26:12.143753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1647
99.9%
20221027 1
 
0.1%

영업상태코드
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
3
1096 
1
478 
4
 
52
5
 
22

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 1096
66.5%
1 478
29.0%
4 52
 
3.2%
5 22
 
1.3%

Length

2024-05-11T00:26:12.508581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:26:12.862500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1096
66.5%
1 478
29.0%
4 52
 
3.2%
5 22
 
1.3%

영업상태명
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
폐업
1096 
영업/정상
478 
취소/말소/만료/정지/중지
 
52
제외/삭제/전출
 
22

Length

Max length14
Median length2
Mean length3.3288835
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1096
66.5%
영업/정상 478
29.0%
취소/말소/만료/정지/중지 52
 
3.2%
제외/삭제/전출 22
 
1.3%

Length

2024-05-11T00:26:13.282187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:26:13.624324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1096
66.5%
영업/정상 478
29.0%
취소/말소/만료/정지/중지 52
 
3.2%
제외/삭제/전출 22
 
1.3%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
3
1096 
13
478 
24
 
52
15
 
21
99
 
1

Length

Max length2
Median length1
Mean length1.3349515
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
3 1096
66.5%
13 478
29.0%
24 52
 
3.2%
15 21
 
1.3%
99 1
 
0.1%

Length

2024-05-11T00:26:14.128715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:26:14.435852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1096
66.5%
13 478
29.0%
24 52
 
3.2%
15 21
 
1.3%
99 1
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
폐업
1096 
영업중
478 
직권폐업
 
52
전출
 
21
삭제
 
1

Length

Max length4
Median length2
Mean length2.3531553
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1096
66.5%
영업중 478
29.0%
직권폐업 52
 
3.2%
전출 21
 
1.3%
삭제 1
 
0.1%

Length

2024-05-11T00:26:14.855026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:26:15.266772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1096
66.5%
영업중 478
29.0%
직권폐업 52
 
3.2%
전출 21
 
1.3%
삭제 1
 
0.1%

폐업일자
Date

MISSING 

Distinct882
Distinct (%)76.8%
Missing500
Missing (%)30.3%
Memory size13.0 KiB
Minimum2003-02-24 00:00:00
Maximum2024-04-30 00:00:00
2024-05-11T00:26:15.666288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:26:16.169434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Real number (ℝ)

MISSING 

Distinct206
Distinct (%)79.5%
Missing1389
Missing (%)84.3%
Infinite0
Infinite (%)0.0%
Mean20057960
Minimum20030224
Maximum20090531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.6 KiB
2024-05-11T00:26:16.633488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030224
5-th percentile20030707
Q120040870
median20060509
Q320070914
95-th percentile20080903
Maximum20090531
Range60307
Interquartile range (IQR)30044.5

Descriptive statistics

Standard deviation16235.248
Coefficient of variation (CV)0.00080941675
Kurtosis-1.2071819
Mean20057960
Median Absolute Deviation (MAD)10617
Skewness-0.14731959
Sum5.1950115 × 109
Variance2.6358329 × 108
MonotonicityNot monotonic
2024-05-11T00:26:17.373310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20071126 8
 
0.5%
20061121 7
 
0.4%
20051117 6
 
0.4%
20040106 5
 
0.3%
20071231 4
 
0.2%
20060509 3
 
0.2%
20040609 3
 
0.2%
20080910 2
 
0.1%
20060519 2
 
0.1%
20030605 2
 
0.1%
Other values (196) 217
 
13.2%
(Missing) 1389
84.3%
ValueCountFrequency (%)
20030224 1
0.1%
20030402 1
0.1%
20030421 1
0.1%
20030425 1
0.1%
20030430 1
0.1%
20030501 1
0.1%
20030522 1
0.1%
20030528 2
0.1%
20030602 1
0.1%
20030605 2
0.1%
ValueCountFrequency (%)
20090531 1
0.1%
20081030 2
0.1%
20081020 1
0.1%
20081016 2
0.1%
20081015 1
0.1%
20081013 1
0.1%
20080930 1
0.1%
20080910 2
0.1%
20080909 1
0.1%
20080908 1
0.1%

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1648
Missing (%)100.0%
Memory size14.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1648
Missing (%)100.0%
Memory size14.6 KiB

전화번호
Text

MISSING 

Distinct902
Distinct (%)92.6%
Missing674
Missing (%)40.9%
Memory size13.0 KiB
2024-05-11T00:26:18.148669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length10.721766
Min length1

Characters and Unicode

Total characters10443
Distinct characters14
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique840 ?
Unique (%)86.2%

Sample

1st row02-824-3161
2nd row02-814-7500
3rd row02-587-9311
4th row02-840-6806
5th row02-813-3919
ValueCountFrequency (%)
02-380-5123 4
 
0.4%
02-534-0975 4
 
0.4%
813-3015 3
 
0.3%
02-843-1967 3
 
0.3%
02-814-8276 3
 
0.3%
02-3487-7575 3
 
0.3%
02-533-2236 3
 
0.3%
02-842-8276 3
 
0.3%
02-822-7582 2
 
0.2%
02-3482-2860 2
 
0.2%
Other values (893) 945
96.9%
2024-05-11T00:26:19.585290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1767
16.9%
2 1611
15.4%
0 1438
13.8%
8 1086
10.4%
5 875
8.4%
3 767
7.3%
7 678
 
6.5%
1 675
 
6.5%
4 538
 
5.2%
6 533
 
5.1%
Other values (4) 475
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8672
83.0%
Dash Punctuation 1767
 
16.9%
Other Punctuation 3
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1611
18.6%
0 1438
16.6%
8 1086
12.5%
5 875
10.1%
3 767
8.8%
7 678
7.8%
1 675
7.8%
4 538
 
6.2%
6 533
 
6.1%
9 471
 
5.4%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 1767
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10443
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1767
16.9%
2 1611
15.4%
0 1438
13.8%
8 1086
10.4%
5 875
8.4%
3 767
7.3%
7 678
 
6.5%
1 675
 
6.5%
4 538
 
5.2%
6 533
 
5.1%
Other values (4) 475
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10443
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1767
16.9%
2 1611
15.4%
0 1438
13.8%
8 1086
10.4%
5 875
8.4%
3 767
7.3%
7 678
 
6.5%
1 675
 
6.5%
4 538
 
5.2%
6 533
 
5.1%
Other values (4) 475
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1648
Missing (%)100.0%
Memory size14.6 KiB

소재지우편번호
Text

MISSING 

Distinct104
Distinct (%)13.5%
Missing879
Missing (%)53.3%
Memory size13.0 KiB
2024-05-11T00:26:20.375655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0039012
Min length6

Characters and Unicode

Total characters4617
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

Unique27 ?
Unique (%)3.5%

Sample

1st row156831
2nd row156854
3rd row156831
4th row156852
5th row156819
ValueCountFrequency (%)
156826 43
 
5.6%
156824 34
 
4.4%
156816 32
 
4.2%
156827 30
 
3.9%
156031 28
 
3.6%
156815 25
 
3.3%
156821 25
 
3.3%
156811 19
 
2.5%
156844 19
 
2.5%
156830 17
 
2.2%
Other values (94) 497
64.6%
2024-05-11T00:26:22.245051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1045
22.6%
6 906
19.6%
5 870
18.8%
8 624
13.5%
0 347
 
7.5%
2 218
 
4.7%
3 187
 
4.1%
4 180
 
3.9%
7 120
 
2.6%
9 116
 
2.5%
Other values (2) 4
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4613
99.9%
Dash Punctuation 3
 
0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1045
22.7%
6 906
19.6%
5 870
18.9%
8 624
13.5%
0 347
 
7.5%
2 218
 
4.7%
3 187
 
4.1%
4 180
 
3.9%
7 120
 
2.6%
9 116
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4617
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1045
22.6%
6 906
19.6%
5 870
18.8%
8 624
13.5%
0 347
 
7.5%
2 218
 
4.7%
3 187
 
4.1%
4 180
 
3.9%
7 120
 
2.6%
9 116
 
2.5%
Other values (2) 4
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4617
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1045
22.6%
6 906
19.6%
5 870
18.8%
8 624
13.5%
0 347
 
7.5%
2 218
 
4.7%
3 187
 
4.1%
4 180
 
3.9%
7 120
 
2.6%
9 116
 
2.5%
Other values (2) 4
 
0.1%

지번주소
Text

MISSING 

Distinct893
Distinct (%)55.4%
Missing37
Missing (%)2.2%
Memory size13.0 KiB
2024-05-11T00:26:23.061105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length43
Mean length25.867784
Min length13

Characters and Unicode

Total characters41673
Distinct characters379
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique684 ?
Unique (%)42.5%

Sample

1st row서울특별시 동작구 상도*동 **-**
2nd row서울특별시 동작구 상도*동 *** 범양빌딩 *층
3rd row서울특별시 동작구 사당동 ****번지 **호 *층
4th row서울특별시 동작구 신대방*동 *** 지하*층
5th row서울특별시 동작구 대방동 ***-*(*층)
ValueCountFrequency (%)
서울특별시 1608
18.7%
동작구 1605
18.6%
호 868
10.1%
837
9.7%
번지 718
8.3%
층 417
 
4.8%
사당동 346
 
4.0%
상도동 247
 
2.9%
사당*동 239
 
2.8%
상도*동 179
 
2.1%
Other values (510) 1548
18.0%
2024-05-11T00:26:24.504661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 8994
21.6%
7039
16.9%
동 3373
 
8.1%
작 1635
 
3.9%
시 1634
 
3.9%
서 1628
 
3.9%
구 1615
 
3.9%
울 1615
 
3.9%
특 1610
 
3.9%
별 1610
 
3.9%
Other values (369) 10920
26.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24454
58.7%
Other Punctuation 9038
 
21.7%
Space Separator 7039
 
16.9%
Dash Punctuation 734
 
1.8%
Open Punctuation 100
 
0.2%
Close Punctuation 100
 
0.2%
Uppercase Letter 99
 
0.2%
Decimal Number 86
 
0.2%
Lowercase Letter 22
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3373
13.8%
작 1635
 
6.7%
시 1634
 
6.7%
서 1628
 
6.7%
구 1615
 
6.6%
울 1615
 
6.6%
특 1610
 
6.6%
별 1610
 
6.6%
호 919
 
3.8%
지 864
 
3.5%
Other values (320) 7951
32.5%
Uppercase Letter
ValueCountFrequency (%)
B 50
50.5%
A 14
 
14.1%
S 4
 
4.0%
C 4
 
4.0%
H 4
 
4.0%
I 3
 
3.0%
J 3
 
3.0%
G 2
 
2.0%
P 2
 
2.0%
L 2
 
2.0%
Other values (8) 11
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
e 5
22.7%
l 4
18.2%
s 2
 
9.1%
b 2
 
9.1%
i 2
 
9.1%
p 1
 
4.5%
h 1
 
4.5%
t 1
 
4.5%
o 1
 
4.5%
v 1
 
4.5%
Other values (2) 2
 
9.1%
Decimal Number
ValueCountFrequency (%)
1 22
25.6%
3 15
17.4%
2 9
10.5%
5 9
10.5%
6 9
10.5%
4 6
 
7.0%
0 6
 
7.0%
8 4
 
4.7%
9 3
 
3.5%
7 3
 
3.5%
Other Punctuation
ValueCountFrequency (%)
* 8994
99.5%
, 39
 
0.4%
. 4
 
< 0.1%
/ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
7039
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 734
100.0%
Open Punctuation
ValueCountFrequency (%)
( 100
100.0%
Close Punctuation
ValueCountFrequency (%)
) 100
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24454
58.7%
Common 17098
41.0%
Latin 121
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3373
13.8%
작 1635
 
6.7%
시 1634
 
6.7%
서 1628
 
6.7%
구 1615
 
6.6%
울 1615
 
6.6%
특 1610
 
6.6%
별 1610
 
6.6%
호 919
 
3.8%
지 864
 
3.5%
Other values (320) 7951
32.5%
Latin
ValueCountFrequency (%)
B 50
41.3%
A 14
 
11.6%
e 5
 
4.1%
l 4
 
3.3%
S 4
 
3.3%
C 4
 
3.3%
H 4
 
3.3%
I 3
 
2.5%
J 3
 
2.5%
s 2
 
1.7%
Other values (20) 28
23.1%
Common
ValueCountFrequency (%)
* 8994
52.6%
7039
41.2%
- 734
 
4.3%
( 100
 
0.6%
) 100
 
0.6%
, 39
 
0.2%
1 22
 
0.1%
3 15
 
0.1%
2 9
 
0.1%
5 9
 
0.1%
Other values (9) 37
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24452
58.7%
ASCII 17219
41.3%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 8994
52.2%
7039
40.9%
- 734
 
4.3%
( 100
 
0.6%
) 100
 
0.6%
B 50
 
0.3%
, 39
 
0.2%
1 22
 
0.1%
3 15
 
0.1%
A 14
 
0.1%
Other values (39) 112
 
0.7%
Hangul
ValueCountFrequency (%)
동 3373
13.8%
작 1635
 
6.7%
시 1634
 
6.7%
서 1628
 
6.7%
구 1615
 
6.6%
울 1615
 
6.6%
특 1610
 
6.6%
별 1610
 
6.6%
호 919
 
3.8%
지 864
 
3.5%
Other values (319) 7949
32.5%
Compat Jamo
ValueCountFrequency (%)
ㅣ 2
100.0%

도로명주소
Text

MISSING 

Distinct893
Distinct (%)71.8%
Missing404
Missing (%)24.5%
Memory size13.0 KiB
2024-05-11T00:26:25.123836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length52
Mean length32.798232
Min length16

Characters and Unicode

Total characters40801
Distinct characters376
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique736 ?
Unique (%)59.2%

Sample

1st row서울특별시 동작구 상도로 *** (상도동, 삼일약품교역)
2nd row서울특별시 동작구 양녕로**길 *, 범양빌딩 *층 (상도*동)
3rd row서울특별시 동작구 남부순환로 ****, *층 (사당동)
4th row서울특별시 동작구 사당로**길 **, *층 (사당동)
5th row서울특별시 동작구 현충로 ** (흑석동)
ValueCountFrequency (%)
서울특별시 1243
15.7%
1242
15.7%
동작구 1239
15.6%
층 483
 
6.1%
사당동 379
 
4.8%
호 331
 
4.2%
상도동 260
 
3.3%
신대방동 145
 
1.8%
상도로 115
 
1.5%
대방동 105
 
1.3%
Other values (627) 2375
30.0%
2024-05-11T00:26:26.282676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6681
16.4%
* 6120
 
15.0%
동 2896
 
7.1%
작 1464
 
3.6%
시 1292
 
3.2%
서 1287
 
3.2%
, 1270
 
3.1%
( 1263
 
3.1%
) 1263
 
3.1%
울 1249
 
3.1%
Other values (366) 16016
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23804
58.3%
Other Punctuation 7397
 
18.1%
Space Separator 6681
 
16.4%
Open Punctuation 1263
 
3.1%
Close Punctuation 1263
 
3.1%
Dash Punctuation 136
 
0.3%
Uppercase Letter 117
 
0.3%
Decimal Number 110
 
0.3%
Lowercase Letter 27
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2896
 
12.2%
작 1464
 
6.2%
시 1292
 
5.4%
서 1287
 
5.4%
울 1249
 
5.2%
구 1246
 
5.2%
별 1245
 
5.2%
특 1245
 
5.2%
로 1154
 
4.8%
대 747
 
3.1%
Other values (318) 9979
41.9%
Uppercase Letter
ValueCountFrequency (%)
B 65
55.6%
A 12
 
10.3%
C 4
 
3.4%
H 4
 
3.4%
L 3
 
2.6%
P 3
 
2.6%
G 3
 
2.6%
S 3
 
2.6%
D 3
 
2.6%
F 3
 
2.6%
Other values (9) 14
 
12.0%
Decimal Number
ValueCountFrequency (%)
1 33
30.0%
6 12
 
10.9%
3 12
 
10.9%
2 11
 
10.0%
4 10
 
9.1%
0 10
 
9.1%
8 8
 
7.3%
5 7
 
6.4%
9 5
 
4.5%
7 2
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
e 6
22.2%
s 4
14.8%
l 4
14.8%
b 2
 
7.4%
i 2
 
7.4%
p 2
 
7.4%
h 2
 
7.4%
t 2
 
7.4%
o 2
 
7.4%
v 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
* 6120
82.7%
, 1270
 
17.2%
. 6
 
0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
6681
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1263
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1263
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 136
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23804
58.3%
Common 16853
41.3%
Latin 144
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2896
 
12.2%
작 1464
 
6.2%
시 1292
 
5.4%
서 1287
 
5.4%
울 1249
 
5.2%
구 1246
 
5.2%
별 1245
 
5.2%
특 1245
 
5.2%
로 1154
 
4.8%
대 747
 
3.1%
Other values (318) 9979
41.9%
Latin
ValueCountFrequency (%)
B 65
45.1%
A 12
 
8.3%
e 6
 
4.2%
C 4
 
2.8%
s 4
 
2.8%
H 4
 
2.8%
l 4
 
2.8%
L 3
 
2.1%
P 3
 
2.1%
G 3
 
2.1%
Other values (19) 36
25.0%
Common
ValueCountFrequency (%)
6681
39.6%
* 6120
36.3%
, 1270
 
7.5%
( 1263
 
7.5%
) 1263
 
7.5%
- 136
 
0.8%
1 33
 
0.2%
6 12
 
0.1%
3 12
 
0.1%
2 11
 
0.1%
Other values (9) 52
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23804
58.3%
ASCII 16997
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6681
39.3%
* 6120
36.0%
, 1270
 
7.5%
( 1263
 
7.4%
) 1263
 
7.4%
- 136
 
0.8%
B 65
 
0.4%
1 33
 
0.2%
A 12
 
0.1%
6 12
 
0.1%
Other values (38) 142
 
0.8%
Hangul
ValueCountFrequency (%)
동 2896
 
12.2%
작 1464
 
6.2%
시 1292
 
5.4%
서 1287
 
5.4%
울 1249
 
5.2%
구 1246
 
5.2%
별 1245
 
5.2%
특 1245
 
5.2%
로 1154
 
4.8%
대 747
 
3.1%
Other values (318) 9979
41.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct190
Distinct (%)17.9%
Missing588
Missing (%)35.7%
Infinite0
Infinite (%)0.0%
Mean16866.486
Minimum6900
Maximum446734
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.6 KiB
2024-05-11T00:26:26.802978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6900
5-th percentile6914
Q16955
median7007
Q37041
95-th percentile156091
Maximum446734
Range439834
Interquartile range (IQR)86

Descriptive statistics

Standard deviation38748.464
Coefficient of variation (CV)2.2973644
Kurtosis22.145991
Mean16866.486
Median Absolute Deviation (MAD)43.5
Skewness4.2500239
Sum17878475
Variance1.5014434 × 109
MonotonicityNot monotonic
2024-05-11T00:26:27.732004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7008 36
 
2.2%
6937 30
 
1.8%
6997 30
 
1.8%
7013 28
 
1.7%
7071 26
 
1.6%
7055 22
 
1.3%
7025 21
 
1.3%
6959 20
 
1.2%
7010 19
 
1.2%
7005 16
 
1.0%
Other values (180) 812
49.3%
(Missing) 588
35.7%
ValueCountFrequency (%)
6900 4
 
0.2%
6902 9
0.5%
6904 5
0.3%
6905 1
 
0.1%
6906 2
 
0.1%
6907 3
 
0.2%
6908 3
 
0.2%
6910 5
0.3%
6912 11
0.7%
6913 9
0.5%
ValueCountFrequency (%)
446734 1
0.1%
156883 1
0.1%
156877 1
0.1%
156869 1
0.1%
156856 1
0.1%
156854 2
0.1%
156853 2
0.1%
156849 2
0.1%
156848 1
0.1%
156847 1
0.1%

사업장명
Text

Distinct1534
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
2024-05-11T00:26:28.568409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length8.0576456
Min length2

Characters and Unicode

Total characters13279
Distinct characters564
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1439 ?
Unique (%)87.3%

Sample

1st row삼일약품교역㈜
2nd row㈜범양메디칼
3rd row주식회사 대경인터내셔날
4th row㈜중외신약
5th row㈜융창양행
ValueCountFrequency (%)
씨유 79
 
3.5%
주식회사 71
 
3.1%
주)코리아세븐 61
 
2.7%
지에스25 29
 
1.3%
세븐일레븐 21
 
0.9%
gs25 16
 
0.7%
상도점 14
 
0.6%
사당점 13
 
0.6%
이수점 13
 
0.6%
지에스(gs)25 11
 
0.5%
Other values (1594) 1942
85.6%
2024-05-11T00:26:29.863669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
628
 
4.7%
점 506
 
3.8%
스 431
 
3.2%
이 386
 
2.9%
주 312
 
2.3%
) 293
 
2.2%
( 293
 
2.2%
리 261
 
2.0%
사 245
 
1.8%
메 235
 
1.8%
Other values (554) 9689
73.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11300
85.1%
Space Separator 628
 
4.7%
Close Punctuation 293
 
2.2%
Open Punctuation 293
 
2.2%
Decimal Number 290
 
2.2%
Uppercase Letter 250
 
1.9%
Other Symbol 107
 
0.8%
Lowercase Letter 99
 
0.7%
Other Punctuation 16
 
0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 506
 
4.5%
스 431
 
3.8%
이 386
 
3.4%
주 312
 
2.8%
리 261
 
2.3%
사 245
 
2.2%
메 235
 
2.1%
기 226
 
2.0%
에 221
 
2.0%
디 216
 
1.9%
Other values (491) 8261
73.1%
Uppercase Letter
ValueCountFrequency (%)
S 65
26.0%
G 49
19.6%
M 18
 
7.2%
C 17
 
6.8%
H 14
 
5.6%
D 10
 
4.0%
E 8
 
3.2%
J 8
 
3.2%
I 7
 
2.8%
T 6
 
2.4%
Other values (14) 48
19.2%
Lowercase Letter
ValueCountFrequency (%)
e 18
18.2%
a 11
11.1%
i 10
10.1%
l 8
8.1%
o 8
8.1%
n 8
8.1%
d 8
8.1%
c 7
 
7.1%
t 5
 
5.1%
r 3
 
3.0%
Other values (10) 13
13.1%
Decimal Number
ValueCountFrequency (%)
2 118
40.7%
5 106
36.6%
1 25
 
8.6%
9 10
 
3.4%
4 8
 
2.8%
3 7
 
2.4%
7 6
 
2.1%
0 5
 
1.7%
6 4
 
1.4%
8 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
& 9
56.2%
? 4
25.0%
. 2
 
12.5%
/ 1
 
6.2%
Space Separator
ValueCountFrequency (%)
628
100.0%
Close Punctuation
ValueCountFrequency (%)
) 293
100.0%
Open Punctuation
ValueCountFrequency (%)
( 293
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 107
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11407
85.9%
Common 1523
 
11.5%
Latin 349
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 506
 
4.4%
스 431
 
3.8%
이 386
 
3.4%
주 312
 
2.7%
리 261
 
2.3%
사 245
 
2.1%
메 235
 
2.1%
기 226
 
2.0%
에 221
 
1.9%
디 216
 
1.9%
Other values (492) 8368
73.4%
Latin
ValueCountFrequency (%)
S 65
18.6%
G 49
 
14.0%
M 18
 
5.2%
e 18
 
5.2%
C 17
 
4.9%
H 14
 
4.0%
a 11
 
3.2%
D 10
 
2.9%
i 10
 
2.9%
E 8
 
2.3%
Other values (34) 129
37.0%
Common
ValueCountFrequency (%)
628
41.2%
) 293
19.2%
( 293
19.2%
2 118
 
7.7%
5 106
 
7.0%
1 25
 
1.6%
9 10
 
0.7%
& 9
 
0.6%
4 8
 
0.5%
3 7
 
0.5%
Other values (8) 26
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11300
85.1%
ASCII 1872
 
14.1%
None 107
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
628
33.5%
) 293
15.7%
( 293
15.7%
2 118
 
6.3%
5 106
 
5.7%
S 65
 
3.5%
G 49
 
2.6%
1 25
 
1.3%
M 18
 
1.0%
e 18
 
1.0%
Other values (52) 259
13.8%
Hangul
ValueCountFrequency (%)
점 506
 
4.5%
스 431
 
3.8%
이 386
 
3.4%
주 312
 
2.8%
리 261
 
2.3%
사 245
 
2.2%
메 235
 
2.1%
기 226
 
2.0%
에 221
 
2.0%
디 216
 
1.9%
Other values (491) 8261
73.1%
None
ValueCountFrequency (%)
㈜ 107
100.0%

최종수정일자
Date

UNIQUE 

Distinct1648
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
Minimum2011-02-18 13:40:56
Maximum2024-05-09 10:56:44
2024-05-11T00:26:30.499155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:26:31.034053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
I
1156 
U
492 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1156
70.1%
U 492
29.9%

Length

2024-05-11T00:26:31.416138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:26:31.768718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1156
70.1%
u 492
29.9%

데이터갱신일자
Date

Distinct453
Distinct (%)27.5%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T00:26:32.278601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:26:32.758794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1648
Missing (%)100.0%
Memory size14.6 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct784
Distinct (%)62.9%
Missing401
Missing (%)24.3%
Infinite0
Infinite (%)0.0%
Mean195584.86
Minimum191481.82
Maximum209927.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.6 KiB
2024-05-11T00:26:33.388301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191481.82
5-th percentile192005.9
Q1193937.22
median195463.53
Q3197545.99
95-th percentile198294.31
Maximum209927.33
Range18445.517
Interquartile range (IQR)3608.7669

Descriptive statistics

Standard deviation2095.645
Coefficient of variation (CV)0.010714761
Kurtosis1.4584924
Mean195584.86
Median Absolute Deviation (MAD)1896.399
Skewness0.35355437
Sum2.4389431 × 108
Variance4391728.1
MonotonicityNot monotonic
2024-05-11T00:26:33.946774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
194219.201792642 19
 
1.2%
197545.985381694 18
 
1.1%
191691.678396263 16
 
1.0%
197802.054854046 13
 
0.8%
194178.850571032 11
 
0.7%
193300.832515956 9
 
0.5%
193140.052317678 8
 
0.5%
197532.696826431 7
 
0.4%
193972.121419392 7
 
0.4%
193218.36400997 6
 
0.4%
Other values (774) 1133
68.8%
(Missing) 401
 
24.3%
ValueCountFrequency (%)
191481.81674639 2
 
0.1%
191484.231170935 1
 
0.1%
191548.535775618 1
 
0.1%
191585.298671366 2
 
0.1%
191677.374890384 1
 
0.1%
191691.678396263 16
1.0%
191711.257557368 1
 
0.1%
191747.202987506 1
 
0.1%
191748.253117587 5
 
0.3%
191753.03973638 2
 
0.1%
ValueCountFrequency (%)
209927.333577882 1
 
0.1%
207750.499013776 1
 
0.1%
204550.303004289 1
 
0.1%
198366.483082717 2
0.1%
198366.228688108 3
0.2%
198360.732414584 1
 
0.1%
198341.017757812 1
 
0.1%
198338.893662684 3
0.2%
198336.941917441 2
0.1%
198336.02493409 3
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct784
Distinct (%)62.9%
Missing401
Missing (%)24.3%
Infinite0
Infinite (%)0.0%
Mean443722.85
Minimum419446.15
Maximum448498.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.6 KiB
2024-05-11T00:26:34.470868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum419446.15
5-th percentile441880.64
Q1442742.42
median443860.6
Q3444702.15
95-th percentile445578.99
Maximum448498.31
Range29052.154
Interquartile range (IQR)1959.7232

Descriptive statistics

Standard deviation1336.4768
Coefficient of variation (CV)0.0030119629
Kurtosis85.919044
Mean443722.85
Median Absolute Deviation (MAD)984.15735
Skewness-4.7657312
Sum5.5332239 × 108
Variance1786170.1
MonotonicityNot monotonic
2024-05-11T00:26:34.935844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444880.903466886 19
 
1.2%
442685.886949892 18
 
1.1%
442818.113681285 16
 
1.0%
443049.47147487 13
 
0.8%
444852.441799154 11
 
0.7%
443302.417672701 9
 
0.5%
443178.674686446 8
 
0.5%
442365.069864777 7
 
0.4%
444283.903816913 7
 
0.4%
443239.581054145 6
 
0.4%
Other values (774) 1133
68.8%
(Missing) 401
 
24.3%
ValueCountFrequency (%)
419446.153051185 1
0.1%
441564.273638609 1
0.1%
441566.953618972 1
0.1%
441569.058208929 1
0.1%
441569.362995612 2
0.1%
441572.446454942 1
0.1%
441573.301550169 1
0.1%
441577.448324663 1
0.1%
441581.838470649 1
0.1%
441589.480102134 1
0.1%
ValueCountFrequency (%)
448498.307066923 1
 
0.1%
445868.076456773 2
0.1%
445823.500892497 1
 
0.1%
445790.549860682 2
0.1%
445767.132034396 1
 
0.1%
445764.45259219 3
0.2%
445764.166038984 1
 
0.1%
445762.808120998 1
 
0.1%
445755.68326333 1
 
0.1%
445752.440199471 1
 
0.1%

수리대상 의료기기의 유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1648
Missing (%)100.0%
Memory size14.6 KiB

다른 겸업 여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1648
Missing (%)100.0%
Memory size14.6 KiB

총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1648
Missing (%)100.0%
Memory size14.6 KiB

영업규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1648
Missing (%)100.0%
Memory size14.6 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
03190000PHMG11985319003304700000119850227<NA>3폐업3폐업20170821<NA><NA><NA>02-824-3161<NA>156831서울특별시 동작구 상도*동 **-**서울특별시 동작구 상도로 *** (상도동, 삼일약품교역)6964삼일약품교역㈜2017-08-24 10:28:49I2018-08-31 23:59:59.0<NA>194997.833046444762.012077<NA><NA><NA><NA>
13190000PHMG11988319003304700000119880513<NA>1영업/정상13영업중<NA><NA><NA><NA>02-814-7500<NA><NA>서울특별시 동작구 상도*동 *** 범양빌딩 *층서울특별시 동작구 양녕로**길 *, 범양빌딩 *층 (상도*동)6912㈜범양메디칼2020-07-09 11:08:36U2020-07-11 02:40:00.0<NA>195565.04829444772.650648<NA><NA><NA><NA>
23190000PHMG11990319003304700000119901115<NA>1영업/정상13영업중<NA><NA><NA><NA>02-587-9311<NA><NA>서울특별시 동작구 사당동 ****번지 **호 *층서울특별시 동작구 남부순환로 ****, *층 (사당동)7023주식회사 대경인터내셔날2020-08-13 15:33:27U2020-08-15 02:40:00.0<NA>197586.109075441569.362996<NA><NA><NA><NA>
33190000PHMG11991319003304700000119910320<NA>3폐업3폐업2006031720060317<NA><NA>02-840-6806<NA>156854서울특별시 동작구 신대방*동 *** 지하*층<NA><NA>㈜중외신약2011-02-18 13:40:56I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
43190000PHMG11991319003304700000220110321<NA>3폐업3폐업20110321<NA><NA><NA>02-813-3919<NA>156831서울특별시 동작구 대방동 ***-*(*층)<NA><NA>㈜융창양행2011-03-21 18:31:06I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
53190000PHMG11992319003304700000119920408<NA>3폐업3폐업2007091420070914<NA><NA>02-831-3060<NA>156852서울특별시 동작구 신대방*동 ***-*<NA><NA>성모의료기2011-02-18 13:42:45I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
63190000PHMG11993319003304700000119930906<NA>1영업/정상13영업중<NA><NA><NA><NA>02-583-5263<NA><NA>서울특별시 동작구 사당동 ***번지 *호 강성교회서울특별시 동작구 사당로**길 **, *층 (사당동)7018센트론메디칼2019-01-04 13:41:43U2019-01-06 02:40:00.0<NA>197306.604695442187.103753<NA><NA><NA><NA>
73190000PHMG11993319003304700000219931129<NA>3폐업3폐업20111206<NA><NA><NA>02-533-7766<NA>156819서울특별시 동작구 사당*동 ***-***<NA><NA>㈜ 현대메디텍2011-12-06 14:40:28I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
83190000PHMG11993319003304700000319931208<NA>3폐업3폐업20210609<NA><NA><NA>02-814-0042<NA><NA>서울특별시 동작구 흑석동 ***번지 *호서울특별시 동작구 현충로 ** (흑석동)6979㈜ 수일개발2021-06-09 15:14:09U2021-06-11 02:40:00.0<NA>196669.877643445213.759767<NA><NA><NA><NA>
93190000PHMG11995319003304700000119950406<NA>4취소/말소/만료/정지/중지24직권폐업20091016<NA><NA><NA>02-597-8606<NA>156821서울특별시 동작구 사당*동 ***-* *층<NA><NA>대동산업2011-02-18 13:45:15I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
16383190000PHMG1202431900330470000132024-03-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 동작동 ***-** 평생로얄주택서울특별시 동작구 동작대로**길 **, ***호 (동작동, 평생로얄주택)6994버드랜드2024-03-18 09:03:20U2023-12-02 22:00:00.0<NA>198266.881068443816.782611<NA><NA><NA><NA>
16393190000PHMG1202431900330470000142024-04-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도동 ***-*** 상도 휴엔하임서울특별시 동작구 상도로**길 ***, 상도 휴엔하임 B***,B***호 (상도동)6937(주)코리아세븐 동작휴엔하임점2024-04-04 11:35:15I2023-12-04 00:06:00.0<NA>194443.209845444754.236227<NA><NA><NA><NA>
16403190000PHMG1202431900330470000152024-04-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도동 ***-** 상도하이츠빌라서울특별시 동작구 상도로**나길 **, ***호 (상도동, 상도하이츠빌라)6953프리와이드2024-04-04 13:29:20I2023-12-04 00:06:00.0<NA>193681.522627444417.019553<NA><NA><NA><NA>
16413190000PHMG1202431900330470000162024-04-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 신대방동 *** 보라매롯데낙천대아파트서울특별시 동작구 여의대방로**길 **, 상가동 지하*층 **호 (신대방동, 보라매롯데낙천대아파트)7064(주)일월세미컴2024-04-08 11:27:49I2023-12-03 23:00:00.0<NA>192295.136304443573.337118<NA><NA><NA><NA>
16423190000PHMG1202431900330470000172024-04-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 대방동 ***-** 상원빌딩서울특별시 동작구 상도로 **, 상원빌딩 (대방동)6953(주)코리아세븐 대방본점2024-04-22 14:13:22I2023-12-03 22:04:00.0<NA>193586.734109444201.691351<NA><NA><NA><NA>
16433190000PHMG1202431900330470000182024-04-22<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8018-6536<NA><NA>서울특별시 동작구 신대방동 ***-** 동작 협성휴포레 시그니처서울특별시 동작구 시흥대로 ***, 오피스동 ***호 (신대방동, 동작 협성휴포레 시그니처)7074올데이원2024-04-25 09:12:58I2023-12-03 22:07:00.0<NA>191548.535776442684.531353<NA><NA><NA><NA>
16443190000PHMG1202431900330470000192024-04-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6326-7322<NA><NA>서울특별시 동작구 사당동 ** 금양빌라서울특별시 동작구 동작대로**차길 **-*, B**호 (사당동, 금양빌라)6991아이컴퍼니2024-04-30 13:06:37I2023-12-05 00:02:00.0<NA>197894.397974443491.21536<NA><NA><NA><NA>
16453190000PHMG1202431900330470000202024-04-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도동 ***-*서울특별시 동작구 사당로 **, *층 (상도동)7027세븐일레븐 숭실대중앙2024-05-01 10:35:57I2023-12-05 00:03:00.0<NA>196060.844546443669.316318<NA><NA><NA><NA>
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