Overview

Dataset statistics

Number of variables29
Number of observations1718
Missing cells17756
Missing cells (%)35.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory414.5 KiB
Average record size in memory247.1 B

Variable types

Categorical7
Text6
DateTime5
Numeric4
Unsupported7

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
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-16433/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (99.3%)Imbalance
휴업종료일자 is highly imbalanced (99.3%)Imbalance
인허가취소일자 has 1714 (99.8%) missing valuesMissing
폐업일자 has 849 (49.4%) missing valuesMissing
재개업일자 has 1718 (100.0%) missing valuesMissing
전화번호 has 981 (57.1%) missing valuesMissing
소재지면적 has 1718 (100.0%) missing valuesMissing
소재지우편번호 has 1280 (74.5%) missing valuesMissing
지번주소 has 282 (16.4%) missing valuesMissing
도로명주소 has 131 (7.6%) missing valuesMissing
도로명우편번호 has 221 (12.9%) missing valuesMissing
업태구분명 has 1718 (100.0%) missing valuesMissing
좌표정보(X) has 136 (7.9%) missing valuesMissing
좌표정보(Y) has 136 (7.9%) missing valuesMissing
수리대상 의료기기의 유형 has 1718 (100.0%) missing valuesMissing
다른 겸업 여부 has 1718 (100.0%) missing valuesMissing
총규모 has 1718 (100.0%) missing valuesMissing
영업규모 has 1718 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
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 started2024-05-18 01:14:03.782664
Analysis finished2024-05-18 01:14:05.604311
Duration1.82 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
3030000
1718 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3030000
2nd row3030000
3rd row3030000
4th row3030000
5th row3030000

Common Values

ValueCountFrequency (%)
3030000 1718
100.0%

Length

2024-05-18T10:14:05.792953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:14:06.103004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 1718
100.0%

관리번호
Text

UNIQUE 

Distinct1718
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
2024-05-18T10:14:06.599153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters42950
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

Unique1718 ?
Unique (%)100.0%

Sample

1st rowPHMG119853030033047000001
2nd rowPHMG119893030033047000001
3rd rowPHMG119913030033047000001
4th rowPHMG119913030033047000002
5th rowPHMG119923030033047000001
ValueCountFrequency (%)
phmg119853030033047000001 1
 
0.1%
phmg120213030033047000069 1
 
0.1%
phmg120213030033047000067 1
 
0.1%
phmg120213030033047000066 1
 
0.1%
phmg120213030033047000065 1
 
0.1%
phmg120213030033047000064 1
 
0.1%
phmg120213030033047000063 1
 
0.1%
phmg120213030033047000062 1
 
0.1%
phmg120213030033047000061 1
 
0.1%
phmg120213030033047000060 1
 
0.1%
Other values (1708) 1708
99.4%
2024-05-18T10:14:07.759248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 15857
36.9%
3 7430
17.3%
1 3531
 
8.2%
2 3295
 
7.7%
4 2236
 
5.2%
7 2094
 
4.9%
P 1718
 
4.0%
H 1718
 
4.0%
M 1718
 
4.0%
G 1718
 
4.0%
Other values (4) 1635
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 36078
84.0%
Uppercase Letter 6872
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 15857
44.0%
3 7430
20.6%
1 3531
 
9.8%
2 3295
 
9.1%
4 2236
 
6.2%
7 2094
 
5.8%
5 447
 
1.2%
9 424
 
1.2%
6 394
 
1.1%
8 370
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
P 1718
25.0%
H 1718
25.0%
M 1718
25.0%
G 1718
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 36078
84.0%
Latin 6872
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 15857
44.0%
3 7430
20.6%
1 3531
 
9.8%
2 3295
 
9.1%
4 2236
 
6.2%
7 2094
 
5.8%
5 447
 
1.2%
9 424
 
1.2%
6 394
 
1.1%
8 370
 
1.0%
Latin
ValueCountFrequency (%)
P 1718
25.0%
H 1718
25.0%
M 1718
25.0%
G 1718
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42950
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 15857
36.9%
3 7430
17.3%
1 3531
 
8.2%
2 3295
 
7.7%
4 2236
 
5.2%
7 2094
 
4.9%
P 1718
 
4.0%
H 1718
 
4.0%
M 1718
 
4.0%
G 1718
 
4.0%
Other values (4) 1635
 
3.8%

인허가일자
Date

Distinct1284
Distinct (%)74.7%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
Minimum1985-03-08 00:00:00
Maximum2024-05-07 00:00:00
2024-05-18T10:14:08.130779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:14:08.503871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing1714
Missing (%)99.8%
Memory size13.6 KiB
Minimum2022-03-29 00:00:00
Maximum2024-04-05 00:00:00
2024-05-18T10:14:08.762665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:14:09.026762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

영업상태코드
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
1
778 
3
769 
4
100 
5
 
70
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 778
45.3%
3 769
44.8%
4 100
 
5.8%
5 70
 
4.1%
2 1
 
0.1%

Length

2024-05-18T10:14:09.332052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:14:09.691015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 778
45.3%
3 769
44.8%
4 100
 
5.8%
5 70
 
4.1%
2 1
 
0.1%

영업상태명
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
영업/정상
778 
폐업
769 
취소/말소/만료/정지/중지
100 
제외/삭제/전출
 
70
휴업
 
1

Length

Max length14
Median length8
Mean length4.3015134
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 778
45.3%
폐업 769
44.8%
취소/말소/만료/정지/중지 100
 
5.8%
제외/삭제/전출 70
 
4.1%
휴업 1
 
0.1%

Length

2024-05-18T10:14:10.173945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:14:10.553040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 778
45.3%
폐업 769
44.8%
취소/말소/만료/정지/중지 100
 
5.8%
제외/삭제/전출 70
 
4.1%
휴업 1
 
0.1%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.4348079
Minimum2
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.2 KiB
2024-05-18T10:14:10.839141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median13
Q313
95-th percentile24
Maximum99
Range97
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.5213615
Coefficient of variation (CV)0.79719286
Kurtosis45.101256
Mean9.4348079
Median Absolute Deviation (MAD)10
Skewness4.1444325
Sum16209
Variance56.570879
MonotonicityNot monotonic
2024-05-18T10:14:11.119503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
13 778
45.3%
3 769
44.8%
24 100
 
5.8%
15 66
 
3.8%
99 4
 
0.2%
2 1
 
0.1%
ValueCountFrequency (%)
2 1
 
0.1%
3 769
44.8%
13 778
45.3%
15 66
 
3.8%
24 100
 
5.8%
99 4
 
0.2%
ValueCountFrequency (%)
99 4
 
0.2%
24 100
 
5.8%
15 66
 
3.8%
13 778
45.3%
3 769
44.8%
2 1
 
0.1%

상세영업상태명
Categorical

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
영업중
778 
폐업
769 
직권폐업
100 
전출
 
66
삭제
 
4

Length

Max length4
Median length3
Mean length2.5692666
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 778
45.3%
폐업 769
44.8%
직권폐업 100
 
5.8%
전출 66
 
3.8%
삭제 4
 
0.2%
휴업 1
 
0.1%

Length

2024-05-18T10:14:11.461972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:14:11.811281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 778
45.3%
폐업 769
44.8%
직권폐업 100
 
5.8%
전출 66
 
3.8%
삭제 4
 
0.2%
휴업 1
 
0.1%

폐업일자
Date

MISSING 

Distinct652
Distinct (%)75.0%
Missing849
Missing (%)49.4%
Memory size13.6 KiB
Minimum2008-11-19 00:00:00
Maximum2024-05-16 00:00:00
2024-05-18T10:14:12.188064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:14:12.681676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
<NA>
1717 
20200707
 
1

Length

Max length8
Median length4
Mean length4.0023283
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> 1717
99.9%
20200707 1
 
0.1%

Length

2024-05-18T10:14:13.120906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:14:13.515417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1717
99.9%
20200707 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
<NA>
1717 
20250630
 
1

Length

Max length8
Median length4
Mean length4.0023283
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> 1717
99.9%
20250630 1
 
0.1%

Length

2024-05-18T10:14:13.929812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:14:14.316923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1717
99.9%
20250630 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1718
Missing (%)100.0%
Memory size15.2 KiB

전화번호
Text

MISSING 

Distinct691
Distinct (%)93.8%
Missing981
Missing (%)57.1%
Memory size13.6 KiB
2024-05-18T10:14:14.875450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length10.299864
Min length2

Characters and Unicode

Total characters7591
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique656 ?
Unique (%)89.0%

Sample

1st row02-461-7071
2nd row02-2294-6411
3rd row02-2297-3793
4th row02-2292-1815
5th row02-2291-0077
ValueCountFrequency (%)
7
 
0.9%
02-3284-8116 5
 
0.7%
2243-7570 3
 
0.4%
02-525-8275 3
 
0.4%
2024-2024 3
 
0.4%
02-2281-5075 2
 
0.3%
070-8183-0929 2
 
0.3%
02-6213-2885 2
 
0.3%
544-4740 2
 
0.3%
546-5888 2
 
0.3%
Other values (682) 707
95.8%
2024-05-18T10:14:16.131711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1234
16.3%
0 1090
14.4%
- 1081
14.2%
4 641
8.4%
1 529
7.0%
9 519
6.8%
6 514
6.8%
7 509
6.7%
8 508
6.7%
3 486
 
6.4%
Other values (4) 480
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6504
85.7%
Dash Punctuation 1081
 
14.2%
Math Symbol 3
 
< 0.1%
Other Punctuation 2
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1234
19.0%
0 1090
16.8%
4 641
9.9%
1 529
8.1%
9 519
8.0%
6 514
7.9%
7 509
7.8%
8 508
7.8%
3 486
 
7.5%
5 474
 
7.3%
Dash Punctuation
ValueCountFrequency (%)
- 1081
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7591
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1234
16.3%
0 1090
14.4%
- 1081
14.2%
4 641
8.4%
1 529
7.0%
9 519
6.8%
6 514
6.8%
7 509
6.7%
8 508
6.7%
3 486
 
6.4%
Other values (4) 480
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7591
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1234
16.3%
0 1090
14.4%
- 1081
14.2%
4 641
8.4%
1 529
7.0%
9 519
6.8%
6 514
6.8%
7 509
6.7%
8 508
6.7%
3 486
 
6.4%
Other values (4) 480
 
6.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1718
Missing (%)100.0%
Memory size15.2 KiB

소재지우편번호
Text

MISSING 

Distinct107
Distinct (%)24.4%
Missing1280
Missing (%)74.5%
Memory size13.6 KiB
2024-05-18T10:14:16.984439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0319635
Min length5

Characters and Unicode

Total characters2642
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

Unique42 ?
Unique (%)9.6%

Sample

1st row133832
2nd row133710
3rd row133872
4th row133831
5th row133811
ValueCountFrequency (%)
133834 30
 
6.8%
133832 21
 
4.8%
133821 18
 
4.1%
133822 15
 
3.4%
133815 14
 
3.2%
133882 14
 
3.2%
133850 14
 
3.2%
133880 13
 
3.0%
133847 12
 
2.7%
133120 11
 
2.5%
Other values (97) 276
63.0%
2024-05-18T10:14:18.518265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 974
36.9%
1 563
21.3%
8 402
15.2%
2 160
 
6.1%
0 159
 
6.0%
7 111
 
4.2%
4 87
 
3.3%
5 61
 
2.3%
6 59
 
2.2%
9 46
 
1.7%
Other values (2) 20
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2622
99.2%
Dash Punctuation 16
 
0.6%
Space Separator 4
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 974
37.1%
1 563
21.5%
8 402
15.3%
2 160
 
6.1%
0 159
 
6.1%
7 111
 
4.2%
4 87
 
3.3%
5 61
 
2.3%
6 59
 
2.3%
9 46
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2642
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 974
36.9%
1 563
21.3%
8 402
15.2%
2 160
 
6.1%
0 159
 
6.0%
7 111
 
4.2%
4 87
 
3.3%
5 61
 
2.3%
6 59
 
2.2%
9 46
 
1.7%
Other values (2) 20
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2642
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 974
36.9%
1 563
21.3%
8 402
15.2%
2 160
 
6.1%
0 159
 
6.0%
7 111
 
4.2%
4 87
 
3.3%
5 61
 
2.3%
6 59
 
2.2%
9 46
 
1.7%
Other values (2) 20
 
0.8%

지번주소
Text

MISSING 

Distinct833
Distinct (%)58.0%
Missing282
Missing (%)16.4%
Memory size13.6 KiB
2024-05-18T10:14:19.550447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length42
Mean length27.802228
Min length13

Characters and Unicode

Total characters39924
Distinct characters333
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique631 ?
Unique (%)43.9%

Sample

1st row서울특별시 성동구 성수동*가 ***번지 *호
2nd row서울특별시 성동구 도선동 ***
3rd row서울특별시 성동구 금호동*가
4th row서울특별시 행당동(사근) **-**
5th row서울특별시 성동구 홍익동 ***번지
ValueCountFrequency (%)
서울특별시 1436
18.1%
성동구 1327
16.8%
호 856
10.8%
700
8.8%
번지 684
8.6%
성수동*가 601
 
7.6%
층 271
 
3.4%
용답동 128
 
1.6%
행당동 110
 
1.4%
성수*가*동 103
 
1.3%
Other values (530) 1704
21.5%
2024-05-18T10:14:21.204736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 8227
20.6%
6503
16.3%
동 2888
 
7.2%
성 2217
 
5.6%
울 1520
 
3.8%
서 1519
 
3.8%
시 1451
 
3.6%
특 1436
 
3.6%
별 1436
 
3.6%
구 1330
 
3.3%
Other values (323) 11397
28.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23980
60.1%
Other Punctuation 8286
 
20.8%
Space Separator 6503
 
16.3%
Dash Punctuation 562
 
1.4%
Uppercase Letter 280
 
0.7%
Decimal Number 181
 
0.5%
Lowercase Letter 57
 
0.1%
Close Punctuation 35
 
0.1%
Open Punctuation 35
 
0.1%
Letter Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2888
 
12.0%
성 2217
 
9.2%
울 1520
 
6.3%
서 1519
 
6.3%
시 1451
 
6.1%
특 1436
 
6.0%
별 1436
 
6.0%
구 1330
 
5.5%
호 1025
 
4.3%
가 902
 
3.8%
Other values (268) 8256
34.4%
Uppercase Letter
ValueCountFrequency (%)
T 42
15.0%
B 31
11.1%
I 26
 
9.3%
K 25
 
8.9%
S 24
 
8.6%
A 16
 
5.7%
E 14
 
5.0%
R 12
 
4.3%
W 12
 
4.3%
O 12
 
4.3%
Other values (13) 66
23.6%
Lowercase Letter
ValueCountFrequency (%)
e 13
22.8%
r 7
12.3%
w 7
12.3%
o 7
12.3%
l 4
 
7.0%
b 4
 
7.0%
s 3
 
5.3%
n 3
 
5.3%
h 3
 
5.3%
i 3
 
5.3%
Decimal Number
ValueCountFrequency (%)
2 42
23.2%
1 33
18.2%
0 20
11.0%
9 19
10.5%
3 16
 
8.8%
6 14
 
7.7%
7 13
 
7.2%
8 11
 
6.1%
5 9
 
5.0%
4 4
 
2.2%
Other Punctuation
ValueCountFrequency (%)
* 8227
99.3%
, 59
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 34
97.1%
] 1
 
2.9%
Open Punctuation
ValueCountFrequency (%)
( 34
97.1%
[ 1
 
2.9%
Letter Number
ValueCountFrequency (%)
Ⅲ 2
66.7%
Ⅱ 1
33.3%
Space Separator
ValueCountFrequency (%)
6503
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 562
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23980
60.1%
Common 15604
39.1%
Latin 340
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2888
 
12.0%
성 2217
 
9.2%
울 1520
 
6.3%
서 1519
 
6.3%
시 1451
 
6.1%
특 1436
 
6.0%
별 1436
 
6.0%
구 1330
 
5.5%
호 1025
 
4.3%
가 902
 
3.8%
Other values (268) 8256
34.4%
Latin
ValueCountFrequency (%)
T 42
 
12.4%
B 31
 
9.1%
I 26
 
7.6%
K 25
 
7.4%
S 24
 
7.1%
A 16
 
4.7%
E 14
 
4.1%
e 13
 
3.8%
R 12
 
3.5%
W 12
 
3.5%
Other values (26) 125
36.8%
Common
ValueCountFrequency (%)
* 8227
52.7%
6503
41.7%
- 562
 
3.6%
, 59
 
0.4%
2 42
 
0.3%
) 34
 
0.2%
( 34
 
0.2%
1 33
 
0.2%
0 20
 
0.1%
9 19
 
0.1%
Other values (9) 71
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23980
60.1%
ASCII 15941
39.9%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 8227
51.6%
6503
40.8%
- 562
 
3.5%
, 59
 
0.4%
T 42
 
0.3%
2 42
 
0.3%
) 34
 
0.2%
( 34
 
0.2%
1 33
 
0.2%
B 31
 
0.2%
Other values (43) 374
 
2.3%
Hangul
ValueCountFrequency (%)
동 2888
 
12.0%
성 2217
 
9.2%
울 1520
 
6.3%
서 1519
 
6.3%
시 1451
 
6.1%
특 1436
 
6.0%
별 1436
 
6.0%
구 1330
 
5.5%
호 1025
 
4.3%
가 902
 
3.8%
Other values (268) 8256
34.4%
Number Forms
ValueCountFrequency (%)
Ⅲ 2
66.7%
Ⅱ 1
33.3%

도로명주소
Text

MISSING 

Distinct1207
Distinct (%)76.1%
Missing131
Missing (%)7.6%
Memory size13.6 KiB
2024-05-18T10:14:22.158651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length50
Mean length36.902331
Min length19

Characters and Unicode

Total characters58564
Distinct characters358
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1005 ?
Unique (%)63.3%

Sample

1st row서울특별시 성동구 아차산로 ** (성수동*가)
2nd row서울특별시 성동구 무학로*길 ** (도선동)
3rd row서울특별시 성동구 독서당로 *** (금호동*가, 윤안과의원)
4th row서울특별시 성동구 마장로 *** (홍익동, 홍익빌딩)
5th row서울특별시 성동구 천호대로 ***, B층 **호 (용답동, 미라보타워)
ValueCountFrequency (%)
서울특별시 1587
14.3%
성동구 1582
14.3%
1579
14.2%
호 815
 
7.3%
성수동*가 768
 
6.9%
층 751
 
6.8%
아차산로 126
 
1.1%
행당동 126
 
1.1%
왕십리로 120
 
1.1%
용답동 118
 
1.1%
Other values (782) 3522
31.7%
2024-05-18T10:14:24.048089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 9776
16.7%
9561
16.3%
동 3468
 
5.9%
성 2817
 
4.8%
, 1961
 
3.3%
서 1782
 
3.0%
울 1712
 
2.9%
시 1652
 
2.8%
별 1589
 
2.7%
( 1588
 
2.7%
Other values (348) 22658
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33070
56.5%
Other Punctuation 11738
 
20.0%
Space Separator 9561
 
16.3%
Open Punctuation 1588
 
2.7%
Close Punctuation 1588
 
2.7%
Uppercase Letter 423
 
0.7%
Dash Punctuation 263
 
0.4%
Decimal Number 231
 
0.4%
Lowercase Letter 91
 
0.2%
Letter Number 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3468
 
10.5%
성 2817
 
8.5%
서 1782
 
5.4%
울 1712
 
5.2%
시 1652
 
5.0%
별 1589
 
4.8%
특 1587
 
4.8%
구 1586
 
4.8%
로 1223
 
3.7%
수 1189
 
3.6%
Other values (292) 14465
43.7%
Uppercase Letter
ValueCountFrequency (%)
B 66
15.6%
T 61
14.4%
I 33
 
7.8%
K 29
 
6.9%
S 28
 
6.6%
A 28
 
6.6%
R 23
 
5.4%
E 21
 
5.0%
O 21
 
5.0%
D 17
 
4.0%
Other values (14) 96
22.7%
Lowercase Letter
ValueCountFrequency (%)
e 20
22.0%
o 14
15.4%
r 13
14.3%
w 13
14.3%
b 6
 
6.6%
l 5
 
5.5%
n 4
 
4.4%
h 4
 
4.4%
s 4
 
4.4%
z 3
 
3.3%
Other values (2) 5
 
5.5%
Decimal Number
ValueCountFrequency (%)
1 57
24.7%
3 40
17.3%
2 37
16.0%
0 22
 
9.5%
8 18
 
7.8%
4 16
 
6.9%
5 15
 
6.5%
7 10
 
4.3%
6 10
 
4.3%
9 6
 
2.6%
Other Punctuation
ValueCountFrequency (%)
* 9776
83.3%
, 1961
 
16.7%
. 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅲ 5
83.3%
Ⅱ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
9561
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1588
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1588
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 263
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33070
56.5%
Common 24974
42.6%
Latin 520
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3468
 
10.5%
성 2817
 
8.5%
서 1782
 
5.4%
울 1712
 
5.2%
시 1652
 
5.0%
별 1589
 
4.8%
특 1587
 
4.8%
구 1586
 
4.8%
로 1223
 
3.7%
수 1189
 
3.6%
Other values (292) 14465
43.7%
Latin
ValueCountFrequency (%)
B 66
 
12.7%
T 61
 
11.7%
I 33
 
6.3%
K 29
 
5.6%
S 28
 
5.4%
A 28
 
5.4%
R 23
 
4.4%
E 21
 
4.0%
O 21
 
4.0%
e 20
 
3.8%
Other values (28) 190
36.5%
Common
ValueCountFrequency (%)
* 9776
39.1%
9561
38.3%
, 1961
 
7.9%
( 1588
 
6.4%
) 1588
 
6.4%
- 263
 
1.1%
1 57
 
0.2%
3 40
 
0.2%
2 37
 
0.1%
0 22
 
0.1%
Other values (8) 81
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33070
56.5%
ASCII 25488
43.5%
Number Forms 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 9776
38.4%
9561
37.5%
, 1961
 
7.7%
( 1588
 
6.2%
) 1588
 
6.2%
- 263
 
1.0%
B 66
 
0.3%
T 61
 
0.2%
1 57
 
0.2%
3 40
 
0.2%
Other values (44) 527
 
2.1%
Hangul
ValueCountFrequency (%)
동 3468
 
10.5%
성 2817
 
8.5%
서 1782
 
5.4%
울 1712
 
5.2%
시 1652
 
5.0%
별 1589
 
4.8%
특 1587
 
4.8%
구 1586
 
4.8%
로 1223
 
3.7%
수 1189
 
3.6%
Other values (292) 14465
43.7%
Number Forms
ValueCountFrequency (%)
Ⅲ 5
83.3%
Ⅱ 1
 
16.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct149
Distinct (%)10.0%
Missing221
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean14591.959
Minimum3193
Maximum142860
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.2 KiB
2024-05-18T10:14:24.648010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3193
5-th percentile4707.8
Q14750
median4783
Q34795
95-th percentile133806.6
Maximum142860
Range139667
Interquartile range (IQR)45

Descriptive statistics

Standard deviation34233.394
Coefficient of variation (CV)2.3460452
Kurtosis8.2482902
Mean14591.959
Median Absolute Deviation (MAD)17
Skewness3.1994374
Sum21844162
Variance1.1719253 × 109
MonotonicityNot monotonic
2024-05-18T10:14:25.466376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4794 76
 
4.4%
4793 69
 
4.0%
4808 68
 
4.0%
4799 59
 
3.4%
4790 56
 
3.3%
4782 56
 
3.3%
4709 51
 
3.0%
4779 44
 
2.6%
4783 38
 
2.2%
4795 38
 
2.2%
Other values (139) 942
54.8%
(Missing) 221
 
12.9%
ValueCountFrequency (%)
3193 1
 
0.1%
4700 8
 
0.5%
4701 30
1.7%
4702 2
 
0.1%
4703 5
 
0.3%
4704 6
 
0.3%
4707 23
1.3%
4708 9
 
0.5%
4709 51
3.0%
4710 13
 
0.8%
ValueCountFrequency (%)
142860 1
 
0.1%
133882 3
0.2%
133881 1
 
0.1%
133880 5
0.3%
133872 1
 
0.1%
133871 1
 
0.1%
133869 2
 
0.1%
133867 2
 
0.1%
133866 2
 
0.1%
133856 1
 
0.1%

사업장명
Text

Distinct1652
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
2024-05-18T10:14:26.061611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length29
Mean length8.2008149
Min length1

Characters and Unicode

Total characters14089
Distinct characters596
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1588 ?
Unique (%)92.4%

Sample

1st row지시코㈜
2nd row(주)충일화학
3rd row이화콘택트렌즈(윤안과)
4th row세운의료기상사
5th row메디랜드
ValueCountFrequency (%)
주식회사 153
 
6.4%
씨유 67
 
2.8%
주)코리아세븐 56
 
2.4%
주 43
 
1.8%
gs25 34
 
1.4%
세븐일레븐 17
 
0.7%
지에스25 13
 
0.5%
이마트24 10
 
0.4%
성수점 9
 
0.4%
cu 8
 
0.3%
Other values (1740) 1965
82.7%
2024-05-18T10:14:27.324405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
660
 
4.7%
주 651
 
4.6%
( 553
 
3.9%
) 553
 
3.9%
이 508
 
3.6%
스 460
 
3.3%
점 363
 
2.6%
리 314
 
2.2%
디 268
 
1.9%
메 264
 
1.9%
Other values (586) 9495
67.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11216
79.6%
Space Separator 660
 
4.7%
Open Punctuation 553
 
3.9%
Close Punctuation 553
 
3.9%
Uppercase Letter 512
 
3.6%
Lowercase Letter 263
 
1.9%
Decimal Number 244
 
1.7%
Other Symbol 43
 
0.3%
Other Punctuation 35
 
0.2%
Dash Punctuation 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 651
 
5.8%
이 508
 
4.5%
스 460
 
4.1%
점 363
 
3.2%
리 314
 
2.8%
디 268
 
2.4%
메 264
 
2.4%
사 251
 
2.2%
아 238
 
2.1%
에 216
 
1.9%
Other values (523) 7683
68.5%
Uppercase Letter
ValueCountFrequency (%)
S 105
20.5%
G 73
14.3%
C 50
9.8%
M 31
 
6.1%
U 26
 
5.1%
I 25
 
4.9%
E 22
 
4.3%
D 21
 
4.1%
T 19
 
3.7%
A 18
 
3.5%
Other values (13) 122
23.8%
Lowercase Letter
ValueCountFrequency (%)
e 31
11.8%
i 28
10.6%
a 28
10.6%
n 23
8.7%
l 20
 
7.6%
d 20
 
7.6%
o 20
 
7.6%
c 17
 
6.5%
t 14
 
5.3%
m 12
 
4.6%
Other values (11) 50
19.0%
Decimal Number
ValueCountFrequency (%)
2 104
42.6%
5 81
33.2%
1 22
 
9.0%
4 17
 
7.0%
3 7
 
2.9%
7 6
 
2.5%
0 4
 
1.6%
6 3
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 14
40.0%
& 14
40.0%
, 4
 
11.4%
? 2
 
5.7%
/ 1
 
2.9%
Space Separator
ValueCountFrequency (%)
660
100.0%
Open Punctuation
ValueCountFrequency (%)
( 553
100.0%
Close Punctuation
ValueCountFrequency (%)
) 553
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 43
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11259
79.9%
Common 2055
 
14.6%
Latin 775
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 651
 
5.8%
이 508
 
4.5%
스 460
 
4.1%
점 363
 
3.2%
리 314
 
2.8%
디 268
 
2.4%
메 264
 
2.3%
사 251
 
2.2%
아 238
 
2.1%
에 216
 
1.9%
Other values (524) 7726
68.6%
Latin
ValueCountFrequency (%)
S 105
 
13.5%
G 73
 
9.4%
C 50
 
6.5%
e 31
 
4.0%
M 31
 
4.0%
i 28
 
3.6%
a 28
 
3.6%
U 26
 
3.4%
I 25
 
3.2%
n 23
 
3.0%
Other values (34) 355
45.8%
Common
ValueCountFrequency (%)
660
32.1%
( 553
26.9%
) 553
26.9%
2 104
 
5.1%
5 81
 
3.9%
1 22
 
1.1%
4 17
 
0.8%
. 14
 
0.7%
& 14
 
0.7%
- 9
 
0.4%
Other values (8) 28
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11216
79.6%
ASCII 2830
 
20.1%
None 43
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
660
23.3%
( 553
19.5%
) 553
19.5%
S 105
 
3.7%
2 104
 
3.7%
5 81
 
2.9%
G 73
 
2.6%
C 50
 
1.8%
e 31
 
1.1%
M 31
 
1.1%
Other values (52) 589
20.8%
Hangul
ValueCountFrequency (%)
주 651
 
5.8%
이 508
 
4.5%
스 460
 
4.1%
점 363
 
3.2%
리 314
 
2.8%
디 268
 
2.4%
메 264
 
2.4%
사 251
 
2.2%
아 238
 
2.1%
에 216
 
1.9%
Other values (523) 7683
68.5%
None
ValueCountFrequency (%)
㈜ 43
100.0%

최종수정일자
Date

UNIQUE 

Distinct1718
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
Minimum2009-10-07 11:38:52
Maximum2024-05-16 16:30:03
2024-05-18T10:14:27.899083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:14:28.412641image/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 size13.6 KiB
I
1010 
U
708 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1010
58.8%
U 708
41.2%

Length

2024-05-18T10:14:28.859872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:14:29.156979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1010
58.8%
u 708
41.2%

데이터갱신일자
Date

Distinct662
Distinct (%)38.5%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-18T10:14:29.543344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:14:29.973157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1718
Missing (%)100.0%
Memory size15.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct706
Distinct (%)44.6%
Missing136
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean204009.53
Minimum199369.46
Maximum206381.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.2 KiB
2024-05-18T10:14:30.633500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum199369.46
5-th percentile201669.8
Q1203053.35
median204304.44
Q3204966.1
95-th percentile205628.63
Maximum206381.89
Range7012.4229
Interquartile range (IQR)1912.748

Descriptive statistics

Standard deviation1224.6634
Coefficient of variation (CV)0.0060029715
Kurtosis-0.42051365
Mean204009.53
Median Absolute Deviation (MAD)742.72237
Skewness-0.62668907
Sum3.2274308 × 108
Variance1499800.4
MonotonicityNot monotonic
2024-05-18T10:14:31.252299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204966.098616157 58
 
3.4%
204743.677915464 33
 
1.9%
205039.907145725 25
 
1.5%
202778.678689705 23
 
1.3%
203766.028019571 22
 
1.3%
204848.299601913 18
 
1.0%
205184.716063461 16
 
0.9%
204339.630102839 16
 
0.9%
205077.325266776 14
 
0.8%
202372.912023599 14
 
0.8%
Other values (696) 1343
78.2%
(Missing) 136
 
7.9%
ValueCountFrequency (%)
199369.462312451 1
 
0.1%
200881.291752147 1
 
0.1%
200896.532906303 1
 
0.1%
200951.206580662 7
0.4%
200967.537033206 3
0.2%
201050.043359695 3
0.2%
201084.709621627 2
 
0.1%
201145.389175397 1
 
0.1%
201153.981577199 2
 
0.1%
201157.877298502 3
0.2%
ValueCountFrequency (%)
206381.885182354 2
0.1%
206299.734441078 1
 
0.1%
206271.491945383 1
 
0.1%
206243.875021499 1
 
0.1%
206209.280864162 2
0.1%
206174.599587085 1
 
0.1%
206170.06980287 1
 
0.1%
206066.311217529 1
 
0.1%
206033.909589487 3
0.2%
205998.740564647 2
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct706
Distinct (%)44.6%
Missing136
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean449961.26
Minimum448121.69
Maximum459386.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.2 KiB
2024-05-18T10:14:31.947824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448121.69
5-th percentile448659.77
Q1449159.45
median449551.24
Q3451001.87
95-th percentile451597.8
Maximum459386.51
Range11264.822
Interquartile range (IQR)1842.4159

Descriptive statistics

Standard deviation1040.9511
Coefficient of variation (CV)0.0023134239
Kurtosis2.8917069
Mean449961.26
Median Absolute Deviation (MAD)622.05917
Skewness0.83769953
Sum7.1183872 × 108
Variance1083579.2
MonotonicityNot monotonic
2024-05-18T10:14:32.514236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449159.452779834 58
 
3.4%
449357.9464135 33
 
1.9%
449216.223655036 25
 
1.5%
451468.504506561 23
 
1.3%
451687.890552805 22
 
1.3%
449551.236385759 18
 
1.0%
451050.148324829 16
 
0.9%
449469.505136008 16
 
0.9%
448924.655109511 14
 
0.8%
451536.680876573 14
 
0.8%
Other values (696) 1343
78.2%
(Missing) 136
 
7.9%
ValueCountFrequency (%)
448121.687172695 2
0.1%
448175.694252303 1
0.1%
448179.869576203 1
0.1%
448229.126737125 1
0.1%
448236.227470207 2
0.1%
448252.450316749 1
0.1%
448254.576548295 1
0.1%
448257.988722667 1
0.1%
448258.515774754 2
0.1%
448266.234571726 1
0.1%
ValueCountFrequency (%)
459386.508791445 1
 
0.1%
452138.17136839 1
 
0.1%
452132.397540245 1
 
0.1%
452092.016572457 1
 
0.1%
452078.470105803 2
0.1%
452076.36180744 1
 
0.1%
452048.418918175 2
0.1%
452032.253768878 1
 
0.1%
452019.558572479 1
 
0.1%
452019.132498433 3
0.2%

수리대상 의료기기의 유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1718
Missing (%)100.0%
Memory size15.2 KiB

다른 겸업 여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1718
Missing (%)100.0%
Memory size15.2 KiB

총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1718
Missing (%)100.0%
Memory size15.2 KiB

영업규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1718
Missing (%)100.0%
Memory size15.2 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
03030000PHMG11985303003304700000119850308<NA>1영업/정상13영업중<NA><NA><NA><NA>02-461-7071<NA><NA>서울특별시 성동구 성수동*가 ***번지 *호서울특별시 성동구 아차산로 ** (성수동*가)4782지시코㈜2016-04-08 09:52:42I2018-08-31 23:59:59.0<NA>204427.656745449286.575959<NA><NA><NA><NA>
13030000PHMG11989303003304700000119890214<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2294-6411<NA><NA>서울특별시 성동구 도선동 ***서울특별시 성동구 무학로*길 ** (도선동)4707(주)충일화학2020-07-29 16:47:36U2020-07-31 02:40:00.0<NA>202818.102711451414.80675<NA><NA><NA><NA>
23030000PHMG11991303003304700000119910225<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2297-3793<NA><NA>서울특별시 성동구 금호동*가서울특별시 성동구 독서당로 *** (금호동*가, 윤안과의원)4737이화콘택트렌즈(윤안과)2016-01-15 17:55:44I2018-08-31 23:59:59.0<NA>201886.383803449529.945529<NA><NA><NA><NA>
33030000PHMG11991303003304700000219910503<NA>4취소/말소/만료/정지/중지24직권폐업20100331<NA><NA><NA>02-2292-1815<NA><NA>서울특별시 행당동(사근) **-**<NA><NA>세운의료기상사2011-08-29 17:02:58I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
43030000PHMG11992303003304700000119920221<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2291-0077<NA><NA>서울특별시 성동구 홍익동 ***번지서울특별시 성동구 마장로 *** (홍익동, 홍익빌딩)4708메디랜드2016-01-15 17:58:03I2018-08-31 23:59:59.0<NA>202967.742351451542.810257<NA><NA><NA><NA>
53030000PHMG11992303003304700000219920403<NA>3폐업3폐업20110422<NA><NA><NA>02-2293-6662<NA><NA>서울특별시 홍익동 ***<NA><NA>금안콘택트렌즈(금안의원)2011-08-29 17:01:46I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
63030000PHMG11996303003304700000120170309<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2217-0336<NA><NA>서울특별시 성동구 용답동 ***번지 *호서울특별시 성동구 천호대로 ***, B층 **호 (용답동, 미라보타워)4808(주)태영약품2017-03-10 17:30:56I2018-08-31 23:59:59.0<NA>205184.716063451050.148325<NA><NA><NA><NA>
73030000PHMG11997303003304700000119970913<NA>3폐업3폐업20100420<NA><NA><NA>02-2291-8813<NA><NA>서울특별시 금호동*가 **-*(*층)<NA><NA>성지메디칼2011-08-29 17:00:24I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
83030000PHMG11998303003304700000119981015<NA>1영업/정상13영업중<NA><NA><NA><NA>02-463-4148<NA><NA>서울특별시 성동구 옥수동 ***-* *층서울특별시 성동구 한림말*길 **, *층 (옥수동)4735(주)두성바이오메드2022-08-01 09:53:20U2021-12-08 00:03:00.0<NA>201381.34182449020.009739<NA><NA><NA><NA>
93030000PHMG11999303003304700000119990107<NA>3폐업3폐업20131226<NA><NA><NA>02-463-4148<NA>133832서울특별시 성동구 성수*가*동 ***번지 **호 성진코원빌딩 ***호, ***호서울특별시 성동구 성수이로**길 ** (성수동*가,성진코원빌딩 ***호, ***호)<NA>(주)스텐텍2013-12-26 16:29:22I2018-08-31 23:59:59.0<NA>205381.925213449143.983493<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
17083030000PHMG1202430300330470000262024-04-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-* 삼진빌딩서울특별시 성동구 아차산로 ***, 삼진빌딩 *층 ***호 (성수동*가)4794스니커랩 주식회사2024-04-05 11:09:40I2023-12-04 00:07:00.0<NA>204966.098616449159.45278<NA><NA><NA><NA>
17093030000PHMG1202430300330470000272024-04-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2205-1500<NA><NA>서울특별시 성동구 성수동*가 ***-* 삼진빌딩서울특별시 성동구 아차산로 ***, 삼진빌딩 *층 ****호 (성수동*가)4794노마드(Nomad)2024-04-08 08:48:05I2023-12-03 23:00:00.0<NA>204966.098616449159.45278<NA><NA><NA><NA>
17103030000PHMG1202430300330470000282024-04-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 *** 서울숲힐스테이트 ***동 ****호서울특별시 성동구 성수일로*길 **, ***동 ****호 (성수동*가, 서울숲힐스테이트)4780(주)에스씨아이 인터내셔널2024-04-11 17:08:44U2023-12-03 23:03:00.0<NA>204538.255411448776.590384<NA><NA><NA><NA>
17113030000PHMG1202430300330470000292024-04-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-** ***호서울특별시 성동구 아차산로 **, *층 ***호 (성수동*가)4782동아에스디(Dong-A SD)2024-04-12 15:32:03I2023-12-03 23:04:00.0<NA>204498.861588449262.816794<NA><NA><NA><NA>
17123030000PHMG1202430300330470000302024-04-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 행당동 *** 행당두산위브서울특별시 성동구 행당로*길 *, ***동 ****호 (행당동, 행당두산위브)4716건강메이드2024-04-25 15:30:33U2023-12-03 22:07:00.0<NA>202716.322136450492.834061<NA><NA><NA><NA>
17133030000PHMG1202430300330470000312024-04-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-***서울특별시 성동구 성수일로**길 **, *층 ***호 (성수동*가)4793오보니2024-04-24 10:18:21I2023-12-03 22:06:00.0<NA>204735.969877449479.093966<NA><NA><NA><NA>
17143030000PHMG1202430300330470000322024-04-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 행당동 *** 서울숲리버뷰자이서울특별시 성동구 고산자로*길 **, ***동 ****호 (행당동, 서울숲리버뷰자이)4745주식회사 그랑도레미2024-04-25 15:20:44I2023-12-03 22:07:00.0<NA>203317.927473450325.762102<NA><NA><NA><NA>
17153030000PHMG1202430300330470000332024-04-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-** 제이제이빌딩서울특별시 성동구 아차산로*길 **-*, 제이제이빌딩 *층 ****호 (성수동*가)4793케이씨 메디텍2024-04-30 16:25:30I2023-12-05 00:02:00.0<NA>204743.677915449357.946414<NA><NA><NA><NA>
17163030000PHMG1202430300330470000342024-05-07<NA>1영업/정상13영업중<NA><NA><NA><NA>02-518-8018<NA><NA>서울특별시 성동구 하왕십리동 **** 센트라스서울특별시 성동구 왕십리로 ***, 제 제이(***)동 *층 ***호 (하왕십리동, 센트라스)4701(주)지엔엔홀딩스2024-05-07 11:42:08I2023-12-05 00:09:00.0<NA>202372.912024451536.680877<NA><NA><NA><NA>
17173030000PHMG1202430300330470000352020-11-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 용답동 **-*서울특별시 성동구 용답**길 *, *층 (용답동)4805리얼클린족욕(용답점)2024-05-16 16:30:03U2023-12-04 23:08:00.0<NA>204493.507537451146.710641<NA><NA><NA><NA>