Overview

Dataset statistics

Number of variables29
Number of observations1437
Missing cells17864
Missing cells (%)42.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory343.9 KiB
Average record size in memory245.1 B

Variable types

Categorical5
Text7
DateTime6
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
Author용산구
URLhttps://data.seoul.go.kr/dataList/OA-16432/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has constant value ""Constant
인허가취소일자 has 1436 (99.9%) missing valuesMissing
폐업일자 has 693 (48.2%) missing valuesMissing
휴업시작일자 has 1435 (99.9%) missing valuesMissing
휴업종료일자 has 1432 (99.7%) missing valuesMissing
재개업일자 has 1437 (100.0%) missing valuesMissing
전화번호 has 689 (47.9%) missing valuesMissing
소재지면적 has 1437 (100.0%) missing valuesMissing
소재지우편번호 has 1134 (78.9%) missing valuesMissing
지번주소 has 404 (28.1%) missing valuesMissing
도로명주소 has 181 (12.6%) missing valuesMissing
도로명우편번호 has 179 (12.5%) missing valuesMissing
업태구분명 has 1437 (100.0%) missing valuesMissing
좌표정보(X) has 111 (7.7%) missing valuesMissing
좌표정보(Y) has 111 (7.7%) missing valuesMissing
수리대상 의료기기의 유형 has 1437 (100.0%) missing valuesMissing
다른 겸업 여부 has 1437 (100.0%) missing valuesMissing
총규모 has 1437 (100.0%) missing valuesMissing
영업규모 has 1437 (100.0%) missing valuesMissing
관리번호 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 started2024-05-11 06:52:03.382698
Analysis finished2024-05-11 06:52:04.578966
Duration1.2 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
3020000
1437 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3020000
2nd row3020000
3rd row3020000
4th row3020000
5th row3020000

Common Values

ValueCountFrequency (%)
3020000 1437
100.0%

Length

2024-05-11T15:52:04.689404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:04.844108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3020000 1437
100.0%

관리번호
Text

UNIQUE 

Distinct1437
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
2024-05-11T15:52:05.080877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters35925
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

Unique1437 ?
Unique (%)100.0%

Sample

1st rowPHMG119893020033047000001
2nd rowPHMG119923020033047000001
3rd rowPHMG119933020033047000001
4th rowPHMG119933020033047000002
5th rowPHMG119933020033047000003
ValueCountFrequency (%)
phmg119893020033047000001 1
 
0.1%
phmg120213020033047000006 1
 
0.1%
phmg120203020033047000070 1
 
0.1%
phmg120203020033047000069 1
 
0.1%
phmg120203020033047000068 1
 
0.1%
phmg120203020033047000067 1
 
0.1%
phmg120203020033047000066 1
 
0.1%
phmg120203020033047000064 1
 
0.1%
phmg120203020033047000063 1
 
0.1%
phmg120203020033047000062 1
 
0.1%
Other values (1427) 1427
99.3%
2024-05-11T15:52:05.539027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 13425
37.4%
3 4790
 
13.3%
2 4014
 
11.2%
1 2925
 
8.1%
4 1909
 
5.3%
7 1746
 
4.9%
P 1437
 
4.0%
H 1437
 
4.0%
M 1437
 
4.0%
G 1437
 
4.0%
Other values (4) 1368
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30177
84.0%
Uppercase Letter 5748
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13425
44.5%
3 4790
 
15.9%
2 4014
 
13.3%
1 2925
 
9.7%
4 1909
 
6.3%
7 1746
 
5.8%
5 387
 
1.3%
6 346
 
1.1%
9 331
 
1.1%
8 304
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
P 1437
25.0%
H 1437
25.0%
M 1437
25.0%
G 1437
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30177
84.0%
Latin 5748
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 13425
44.5%
3 4790
 
15.9%
2 4014
 
13.3%
1 2925
 
9.7%
4 1909
 
6.3%
7 1746
 
5.8%
5 387
 
1.3%
6 346
 
1.1%
9 331
 
1.1%
8 304
 
1.0%
Latin
ValueCountFrequency (%)
P 1437
25.0%
H 1437
25.0%
M 1437
25.0%
G 1437
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 35925
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 13425
37.4%
3 4790
 
13.3%
2 4014
 
11.2%
1 2925
 
8.1%
4 1909
 
5.3%
7 1746
 
4.9%
P 1437
 
4.0%
H 1437
 
4.0%
M 1437
 
4.0%
G 1437
 
4.0%
Other values (4) 1368
 
3.8%

인허가일자
Date

Distinct1071
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
Minimum1989-01-04 00:00:00
Maximum2024-05-02 00:00:00
2024-05-11T15:52:05.767334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:52:05.986859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1436
Missing (%)99.9%
Memory size11.4 KiB
Minimum2024-03-11 00:00:00
Maximum2024-03-11 00:00:00
2024-05-11T15:52:06.133297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:52:06.293946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

영업상태코드
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
3
692 
1
648 
4
 
52
5
 
43
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 692
48.2%
1 648
45.1%
4 52
 
3.6%
5 43
 
3.0%
2 2
 
0.1%

Length

2024-05-11T15:52:06.469612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:06.630610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 692
48.2%
1 648
45.1%
4 52
 
3.6%
5 43
 
3.0%
2 2
 
0.1%

영업상태명
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
폐업
692 
영업/정상
648 
취소/말소/만료/정지/중지
 
52
제외/삭제/전출
 
43
휴업
 
2

Length

Max length14
Median length8
Mean length3.9665971
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 692
48.2%
영업/정상 648
45.1%
취소/말소/만료/정지/중지 52
 
3.6%
제외/삭제/전출 43
 
3.0%
휴업 2
 
0.1%

Length

2024-05-11T15:52:06.832067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:07.005027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 692
48.2%
영업/정상 648
45.1%
취소/말소/만료/정지/중지 52
 
3.6%
제외/삭제/전출 43
 
3.0%
휴업 2
 
0.1%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.6854558
Minimum2
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.8 KiB
2024-05-11T15:52:07.197557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median13
Q313
95-th percentile15
Maximum99
Range97
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.2752457
Coefficient of variation (CV)0.72250045
Kurtosis28.746097
Mean8.6854558
Median Absolute Deviation (MAD)10
Skewness2.4221042
Sum12481
Variance39.378709
MonotonicityNot monotonic
2024-05-11T15:52:07.383015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 692
48.2%
13 648
45.1%
24 52
 
3.6%
15 42
 
2.9%
2 2
 
0.1%
99 1
 
0.1%
ValueCountFrequency (%)
2 2
 
0.1%
3 692
48.2%
13 648
45.1%
15 42
 
2.9%
24 52
 
3.6%
99 1
 
0.1%
ValueCountFrequency (%)
99 1
 
0.1%
24 52
 
3.6%
15 42
 
2.9%
13 648
45.1%
3 692
48.2%
2 2
 
0.1%

상세영업상태명
Categorical

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
폐업
692 
영업중
648 
직권폐업
 
52
전출
 
42
휴업
 
2

Length

Max length4
Median length2
Mean length2.5233125
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 692
48.2%
영업중 648
45.1%
직권폐업 52
 
3.6%
전출 42
 
2.9%
휴업 2
 
0.1%
삭제 1
 
0.1%

Length

2024-05-11T15:52:07.587056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:08.064799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 692
48.2%
영업중 648
45.1%
직권폐업 52
 
3.6%
전출 42
 
2.9%
휴업 2
 
0.1%
삭제 1
 
0.1%

폐업일자
Date

MISSING 

Distinct546
Distinct (%)73.4%
Missing693
Missing (%)48.2%
Memory size11.4 KiB
Minimum2008-03-18 00:00:00
Maximum2024-04-24 00:00:00
2024-05-11T15:52:08.277028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:52:08.488772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing1435
Missing (%)99.9%
Memory size11.4 KiB
Minimum2023-07-11 00:00:00
Maximum2023-10-17 00:00:00
2024-05-11T15:52:08.621807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:52:08.730894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

휴업종료일자
Text

MISSING 

Distinct3
Distinct (%)60.0%
Missing1432
Missing (%)99.7%
Memory size11.4 KiB
2024-05-11T15:52:08.864187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.8
Min length8

Characters and Unicode

Total characters44
Distinct characters9
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)40.0%

Sample

1st row99991231
2nd row99991231
3rd row99991231
4th row2024-06-30
5th row2024-10-15
ValueCountFrequency (%)
99991231 3
60.0%
2024-06-30 1
 
20.0%
2024-10-15 1
 
20.0%
2024-05-11T15:52:09.287204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 12
27.3%
1 8
18.2%
2 7
15.9%
0 5
11.4%
3 4
 
9.1%
- 4
 
9.1%
4 2
 
4.5%
6 1
 
2.3%
5 1
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40
90.9%
Dash Punctuation 4
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 12
30.0%
1 8
20.0%
2 7
17.5%
0 5
12.5%
3 4
 
10.0%
4 2
 
5.0%
6 1
 
2.5%
5 1
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 44
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 12
27.3%
1 8
18.2%
2 7
15.9%
0 5
11.4%
3 4
 
9.1%
- 4
 
9.1%
4 2
 
4.5%
6 1
 
2.3%
5 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 12
27.3%
1 8
18.2%
2 7
15.9%
0 5
11.4%
3 4
 
9.1%
- 4
 
9.1%
4 2
 
4.5%
6 1
 
2.3%
5 1
 
2.3%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1437
Missing (%)100.0%
Memory size12.8 KiB

전화번호
Text

MISSING 

Distinct713
Distinct (%)95.3%
Missing689
Missing (%)47.9%
Memory size11.4 KiB
2024-05-11T15:52:09.639240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length10.640374
Min length2

Characters and Unicode

Total characters7959
Distinct characters13
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

Unique680 ?
Unique (%)90.9%

Sample

1st row02-3780-4400
2nd row02-707-1551
3rd row02-706-8322
4th row02-749-1641
5th row02-716-2844
ValueCountFrequency (%)
02-3275-0350 3
 
0.4%
02-702-3001 3
 
0.4%
790-8965 2
 
0.3%
02-2194-9564 2
 
0.3%
325-8058 2
 
0.3%
790-0133 2
 
0.3%
525-7830 2
 
0.3%
706-4901 2
 
0.3%
02-707-1396 2
 
0.3%
02-790-2804 2
 
0.3%
Other values (703) 728
97.1%
2024-05-11T15:52:10.184181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1282
16.1%
0 1228
15.4%
2 1047
13.2%
7 1024
12.9%
1 618
7.8%
3 489
 
6.1%
8 482
 
6.1%
9 476
 
6.0%
5 465
 
5.8%
6 430
 
5.4%
Other values (3) 418
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6673
83.8%
Dash Punctuation 1282
 
16.1%
Space Separator 2
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1228
18.4%
2 1047
15.7%
7 1024
15.3%
1 618
9.3%
3 489
 
7.3%
8 482
 
7.2%
9 476
 
7.1%
5 465
 
7.0%
6 430
 
6.4%
4 414
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 1282
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7959
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1282
16.1%
0 1228
15.4%
2 1047
13.2%
7 1024
12.9%
1 618
7.8%
3 489
 
6.1%
8 482
 
6.1%
9 476
 
6.0%
5 465
 
5.8%
6 430
 
5.4%
Other values (3) 418
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7959
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1282
16.1%
0 1228
15.4%
2 1047
13.2%
7 1024
12.9%
1 618
7.8%
3 489
 
6.1%
8 482
 
6.1%
9 476
 
6.0%
5 465
 
5.8%
6 430
 
5.4%
Other values (3) 418
 
5.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1437
Missing (%)100.0%
Memory size12.8 KiB

소재지우편번호
Text

MISSING 

Distinct96
Distinct (%)31.7%
Missing1134
Missing (%)78.9%
Memory size11.4 KiB
2024-05-11T15:52:10.537140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0066007
Min length6

Characters and Unicode

Total characters1820
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

Unique44 ?
Unique (%)14.5%

Sample

1st row140851
2nd row140879
3rd row140880
4th row140846
5th row140011
ValueCountFrequency (%)
140879 16
 
5.3%
140872 12
 
4.0%
140832 12
 
4.0%
140780 11
 
3.6%
140013 11
 
3.6%
140011 10
 
3.3%
140848 10
 
3.3%
140012 10
 
3.3%
140821 8
 
2.6%
140847 7
 
2.3%
Other values (86) 196
64.7%
2024-05-11T15:52:11.151499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 425
23.4%
1 410
22.5%
4 352
19.3%
8 231
12.7%
7 115
 
6.3%
2 93
 
5.1%
9 67
 
3.7%
3 64
 
3.5%
6 42
 
2.3%
5 14
 
0.8%
Other values (2) 7
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1813
99.6%
Space Separator 5
 
0.3%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 425
23.4%
1 410
22.6%
4 352
19.4%
8 231
12.7%
7 115
 
6.3%
2 93
 
5.1%
9 67
 
3.7%
3 64
 
3.5%
6 42
 
2.3%
5 14
 
0.8%
Space Separator
ValueCountFrequency (%)
5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1820
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 425
23.4%
1 410
22.5%
4 352
19.3%
8 231
12.7%
7 115
 
6.3%
2 93
 
5.1%
9 67
 
3.7%
3 64
 
3.5%
6 42
 
2.3%
5 14
 
0.8%
Other values (2) 7
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1820
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 425
23.4%
1 410
22.5%
4 352
19.3%
8 231
12.7%
7 115
 
6.3%
2 93
 
5.1%
9 67
 
3.7%
3 64
 
3.5%
6 42
 
2.3%
5 14
 
0.8%
Other values (2) 7
 
0.4%

지번주소
Text

MISSING 

Distinct536
Distinct (%)51.9%
Missing404
Missing (%)28.1%
Memory size11.4 KiB
2024-05-11T15:52:11.575572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length24.782188
Min length13

Characters and Unicode

Total characters25600
Distinct characters297
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique370 ?
Unique (%)35.8%

Sample

1st row서울특별시 용산구 한강로*가 ***번지
2nd row서울특별시 용산구원효로*가 ***외*필지 *층
3rd row서울특별시 용산구한강로*가 **-*, 전자랜드본관도로*층 c ***호
4th row서울특별시 용산구한강로*가 **-*** 삼정빌딩 *층
5th row서울특별시 용산구 원효로*가 ***-* 디아뜨센트럴
ValueCountFrequency (%)
서울특별시 1032
20.0%
용산구 942
18.2%
594
11.5%
호 458
8.9%
번지 431
8.3%
한강로*가 342
 
6.6%
원효로*가 117
 
2.3%
층 76
 
1.5%
한남동 60
 
1.2%
용산구한강로*가 45
 
0.9%
Other values (348) 1070
20.7%
2024-05-11T15:52:12.179885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 4757
18.6%
4140
16.2%
용 1186
 
4.6%
산 1151
 
4.5%
서 1091
 
4.3%
구 1047
 
4.1%
울 1046
 
4.1%
시 1046
 
4.1%
별 1035
 
4.0%
특 1032
 
4.0%
Other values (287) 8069
31.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16055
62.7%
Other Punctuation 4769
 
18.6%
Space Separator 4140
 
16.2%
Dash Punctuation 523
 
2.0%
Decimal Number 43
 
0.2%
Uppercase Letter 35
 
0.1%
Lowercase Letter 15
 
0.1%
Close Punctuation 10
 
< 0.1%
Open Punctuation 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 1186
 
7.4%
산 1151
 
7.2%
서 1091
 
6.8%
구 1047
 
6.5%
울 1046
 
6.5%
시 1046
 
6.5%
별 1035
 
6.4%
특 1032
 
6.4%
가 674
 
4.2%
동 577
 
3.6%
Other values (256) 6170
38.4%
Uppercase Letter
ValueCountFrequency (%)
B 6
17.1%
L 6
17.1%
S 5
14.3%
G 4
11.4%
A 3
8.6%
T 2
 
5.7%
N 2
 
5.7%
Y 2
 
5.7%
D 2
 
5.7%
P 1
 
2.9%
Other values (2) 2
 
5.7%
Decimal Number
ValueCountFrequency (%)
3 10
23.3%
1 8
18.6%
6 7
16.3%
8 5
11.6%
2 5
11.6%
9 4
 
9.3%
5 3
 
7.0%
4 1
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
e 12
80.0%
b 1
 
6.7%
c 1
 
6.7%
l 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
* 4757
99.7%
, 10
 
0.2%
/ 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
4140
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 523
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16055
62.7%
Common 9495
37.1%
Latin 50
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 1186
 
7.4%
산 1151
 
7.2%
서 1091
 
6.8%
구 1047
 
6.5%
울 1046
 
6.5%
시 1046
 
6.5%
별 1035
 
6.4%
특 1032
 
6.4%
가 674
 
4.2%
동 577
 
3.6%
Other values (256) 6170
38.4%
Latin
ValueCountFrequency (%)
e 12
24.0%
B 6
12.0%
L 6
12.0%
S 5
10.0%
G 4
 
8.0%
A 3
 
6.0%
T 2
 
4.0%
N 2
 
4.0%
Y 2
 
4.0%
D 2
 
4.0%
Other values (6) 6
12.0%
Common
ValueCountFrequency (%)
* 4757
50.1%
4140
43.6%
- 523
 
5.5%
3 10
 
0.1%
, 10
 
0.1%
) 10
 
0.1%
( 10
 
0.1%
1 8
 
0.1%
6 7
 
0.1%
8 5
 
0.1%
Other values (5) 15
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16055
62.7%
ASCII 9545
37.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 4757
49.8%
4140
43.4%
- 523
 
5.5%
e 12
 
0.1%
3 10
 
0.1%
, 10
 
0.1%
) 10
 
0.1%
( 10
 
0.1%
1 8
 
0.1%
6 7
 
0.1%
Other values (21) 58
 
0.6%
Hangul
ValueCountFrequency (%)
용 1186
 
7.4%
산 1151
 
7.2%
서 1091
 
6.8%
구 1047
 
6.5%
울 1046
 
6.5%
시 1046
 
6.5%
별 1035
 
6.4%
특 1032
 
6.4%
가 674
 
4.2%
동 577
 
3.6%
Other values (256) 6170
38.4%

도로명주소
Text

MISSING 

Distinct867
Distinct (%)69.0%
Missing181
Missing (%)12.6%
Memory size11.4 KiB
2024-05-11T15:52:12.586847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length52
Mean length33.992834
Min length16

Characters and Unicode

Total characters42695
Distinct characters317
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

Unique667 ?
Unique (%)53.1%

Sample

1st row서울특별시 용산구 한강대로 ** (한강로*가, LS용산타워)
2nd row서울특별시 용산구 한강대로**길 **, *층 (한강로*가)
3rd row서울특별시 용산구 원효로 ***, 디아뜨센트럴 *동 ***호 (원효로*가)
4th row서울특별시 용산구 대사관로**길 **-*, 이유앤빌딩 (한남동)
5th row서울특별시 용산구 백범로**다길 ** (원효로*가)
ValueCountFrequency (%)
서울특별시 1256
15.4%
용산구 1254
15.3%
1230
15.0%
층 466
 
5.7%
호 441
 
5.4%
한강로*가 428
 
5.2%
원효로*가 165
 
2.0%
청파로 147
 
1.8%
한강대로 131
 
1.6%
한강대로**길 104
 
1.3%
Other values (504) 2557
31.3%
2024-05-11T15:52:13.138597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 7213
16.9%
6928
 
16.2%
로 1858
 
4.4%
용 1454
 
3.4%
산 1423
 
3.3%
서 1383
 
3.2%
시 1278
 
3.0%
구 1272
 
3.0%
울 1271
 
3.0%
별 1262
 
3.0%
Other values (307) 17353
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24382
57.1%
Other Punctuation 8430
 
19.7%
Space Separator 6928
 
16.2%
Close Punctuation 1261
 
3.0%
Open Punctuation 1261
 
3.0%
Dash Punctuation 223
 
0.5%
Decimal Number 93
 
0.2%
Uppercase Letter 86
 
0.2%
Lowercase Letter 24
 
0.1%
Math Symbol 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 1858
 
7.6%
용 1454
 
6.0%
산 1423
 
5.8%
서 1383
 
5.7%
시 1278
 
5.2%
구 1272
 
5.2%
울 1271
 
5.2%
별 1262
 
5.2%
특 1257
 
5.2%
한 878
 
3.6%
Other values (271) 11046
45.3%
Uppercase Letter
ValueCountFrequency (%)
B 33
38.4%
S 9
 
10.5%
L 8
 
9.3%
G 7
 
8.1%
A 7
 
8.1%
C 6
 
7.0%
D 4
 
4.7%
T 3
 
3.5%
N 2
 
2.3%
Y 2
 
2.3%
Other values (5) 5
 
5.8%
Decimal Number
ValueCountFrequency (%)
1 27
29.0%
2 16
17.2%
3 11
11.8%
0 8
 
8.6%
4 8
 
8.6%
5 7
 
7.5%
7 5
 
5.4%
6 5
 
5.4%
8 4
 
4.3%
9 2
 
2.2%
Other Punctuation
ValueCountFrequency (%)
* 7213
85.6%
, 1216
 
14.4%
. 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
e 20
83.3%
c 3
 
12.5%
k 1
 
4.2%
Space Separator
ValueCountFrequency (%)
6928
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1261
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1261
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 223
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24382
57.1%
Common 18203
42.6%
Latin 110
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 1858
 
7.6%
용 1454
 
6.0%
산 1423
 
5.8%
서 1383
 
5.7%
시 1278
 
5.2%
구 1272
 
5.2%
울 1271
 
5.2%
별 1262
 
5.2%
특 1257
 
5.2%
한 878
 
3.6%
Other values (271) 11046
45.3%
Common
ValueCountFrequency (%)
* 7213
39.6%
6928
38.1%
) 1261
 
6.9%
( 1261
 
6.9%
, 1216
 
6.7%
- 223
 
1.2%
1 27
 
0.1%
2 16
 
0.1%
3 11
 
0.1%
0 8
 
< 0.1%
Other values (8) 39
 
0.2%
Latin
ValueCountFrequency (%)
B 33
30.0%
e 20
18.2%
S 9
 
8.2%
L 8
 
7.3%
G 7
 
6.4%
A 7
 
6.4%
C 6
 
5.5%
D 4
 
3.6%
c 3
 
2.7%
T 3
 
2.7%
Other values (8) 10
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24382
57.1%
ASCII 18313
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 7213
39.4%
6928
37.8%
) 1261
 
6.9%
( 1261
 
6.9%
, 1216
 
6.6%
- 223
 
1.2%
B 33
 
0.2%
1 27
 
0.1%
e 20
 
0.1%
2 16
 
0.1%
Other values (26) 115
 
0.6%
Hangul
ValueCountFrequency (%)
로 1858
 
7.6%
용 1454
 
6.0%
산 1423
 
5.8%
서 1383
 
5.7%
시 1278
 
5.2%
구 1272
 
5.2%
울 1271
 
5.2%
별 1262
 
5.2%
특 1257
 
5.2%
한 878
 
3.6%
Other values (271) 11046
45.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct173
Distinct (%)13.8%
Missing179
Missing (%)12.5%
Infinite0
Infinite (%)0.0%
Mean15198.75
Minimum4300
Maximum140909
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.8 KiB
2024-05-11T15:52:13.325050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4300
5-th percentile4309
Q14344
median4371
Q34382
95-th percentile140821
Maximum140909
Range136609
Interquartile range (IQR)38

Descriptive statistics

Standard deviation36888.254
Coefficient of variation (CV)2.4270583
Kurtosis7.7019311
Mean15198.75
Median Absolute Deviation (MAD)18
Skewness3.1128081
Sum19120028
Variance1.3607433 × 109
MonotonicityNot monotonic
2024-05-11T15:52:13.499184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4366 69
 
4.8%
4373 60
 
4.2%
4371 51
 
3.5%
4370 48
 
3.3%
4382 43
 
3.0%
4376 42
 
2.9%
4372 29
 
2.0%
4367 27
 
1.9%
4315 26
 
1.8%
4363 24
 
1.7%
Other values (163) 839
58.4%
(Missing) 179
 
12.5%
ValueCountFrequency (%)
4300 23
1.6%
4301 1
 
0.1%
4302 7
 
0.5%
4303 8
 
0.6%
4304 3
 
0.2%
4305 3
 
0.2%
4307 3
 
0.2%
4308 4
 
0.3%
4309 14
1.0%
4310 3
 
0.2%
ValueCountFrequency (%)
140909 1
 
0.1%
140906 1
 
0.1%
140905 1
 
0.1%
140901 1
 
0.1%
140900 1
 
0.1%
140896 2
0.1%
140887 4
0.3%
140886 2
0.1%
140883 1
 
0.1%
140882 1
 
0.1%

사업장명
Text

Distinct1391
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
2024-05-11T15:52:13.769662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length22
Mean length8.2672234
Min length2

Characters and Unicode

Total characters11880
Distinct characters559
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

Unique1348 ?
Unique (%)93.8%

Sample

1st row한국존슨앤드존슨메디칼㈜
2nd row태성메디칼
3rd row세인홈메디칼전자랜드점
4th row선경메디텍주식회사
5th row우주의료기
ValueCountFrequency (%)
주식회사 189
 
9.5%
세븐일레븐 59
 
3.0%
씨유 36
 
1.8%
주)코리아세븐 28
 
1.4%
gs25 19
 
1.0%
용산점 16
 
0.8%
이마트24 7
 
0.4%
용산지점 7
 
0.4%
지에스25 7
 
0.4%
씨제이올리브영(주 7
 
0.4%
Other values (1462) 1611
81.1%
2024-05-11T15:52:14.306431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 564
 
4.7%
550
 
4.6%
이 474
 
4.0%
( 379
 
3.2%
) 379
 
3.2%
스 351
 
3.0%
점 342
 
2.9%
사 260
 
2.2%
아 233
 
2.0%
회 216
 
1.8%
Other values (549) 8132
68.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10004
84.2%
Space Separator 550
 
4.6%
Open Punctuation 379
 
3.2%
Close Punctuation 379
 
3.2%
Uppercase Letter 307
 
2.6%
Decimal Number 168
 
1.4%
Other Symbol 47
 
0.4%
Lowercase Letter 25
 
0.2%
Other Punctuation 20
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 564
 
5.6%
이 474
 
4.7%
스 351
 
3.5%
점 342
 
3.4%
사 260
 
2.6%
아 233
 
2.3%
회 216
 
2.2%
리 213
 
2.1%
식 208
 
2.1%
디 178
 
1.8%
Other values (496) 6965
69.6%
Uppercase Letter
ValueCountFrequency (%)
S 63
20.5%
G 44
14.3%
C 42
13.7%
U 25
 
8.1%
E 14
 
4.6%
N 12
 
3.9%
I 11
 
3.6%
T 11
 
3.6%
D 11
 
3.6%
A 10
 
3.3%
Other values (13) 64
20.8%
Lowercase Letter
ValueCountFrequency (%)
s 4
16.0%
t 3
12.0%
o 3
12.0%
e 3
12.0%
a 2
8.0%
l 2
8.0%
d 2
8.0%
g 1
 
4.0%
n 1
 
4.0%
y 1
 
4.0%
Other values (3) 3
12.0%
Decimal Number
ValueCountFrequency (%)
2 84
50.0%
5 58
34.5%
4 12
 
7.1%
1 6
 
3.6%
3 3
 
1.8%
6 2
 
1.2%
7 2
 
1.2%
9 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
& 9
45.0%
. 7
35.0%
, 3
 
15.0%
? 1
 
5.0%
Space Separator
ValueCountFrequency (%)
550
100.0%
Open Punctuation
ValueCountFrequency (%)
( 379
100.0%
Close Punctuation
ValueCountFrequency (%)
) 379
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 47
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10051
84.6%
Common 1497
 
12.6%
Latin 332
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 564
 
5.6%
이 474
 
4.7%
스 351
 
3.5%
점 342
 
3.4%
사 260
 
2.6%
아 233
 
2.3%
회 216
 
2.1%
리 213
 
2.1%
식 208
 
2.1%
디 178
 
1.8%
Other values (497) 7012
69.8%
Latin
ValueCountFrequency (%)
S 63
19.0%
G 44
13.3%
C 42
12.7%
U 25
 
7.5%
E 14
 
4.2%
N 12
 
3.6%
I 11
 
3.3%
T 11
 
3.3%
D 11
 
3.3%
A 10
 
3.0%
Other values (26) 89
26.8%
Common
ValueCountFrequency (%)
550
36.7%
( 379
25.3%
) 379
25.3%
2 84
 
5.6%
5 58
 
3.9%
4 12
 
0.8%
& 9
 
0.6%
. 7
 
0.5%
1 6
 
0.4%
, 3
 
0.2%
Other values (6) 10
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10004
84.2%
ASCII 1829
 
15.4%
None 47
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 564
 
5.6%
이 474
 
4.7%
스 351
 
3.5%
점 342
 
3.4%
사 260
 
2.6%
아 233
 
2.3%
회 216
 
2.2%
리 213
 
2.1%
식 208
 
2.1%
디 178
 
1.8%
Other values (496) 6965
69.6%
ASCII
ValueCountFrequency (%)
550
30.1%
( 379
20.7%
) 379
20.7%
2 84
 
4.6%
S 63
 
3.4%
5 58
 
3.2%
G 44
 
2.4%
C 42
 
2.3%
U 25
 
1.4%
E 14
 
0.8%
Other values (42) 191
 
10.4%
None
ValueCountFrequency (%)
㈜ 47
100.0%

최종수정일자
Date

Distinct1435
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
Minimum2008-10-09 00:00:00
Maximum2024-05-09 17:48:23
2024-05-11T15:52:14.537663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:52:14.711103image/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 size11.4 KiB
I
944 
U
493 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 944
65.7%
U 493
34.3%

Length

2024-05-11T15:52:14.910658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:15.078781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 944
65.7%
u 493
34.3%

데이터갱신일자
Date

Distinct530
Distinct (%)36.9%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T15:52:15.249649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:52:15.479167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1437
Missing (%)100.0%
Memory size12.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct715
Distinct (%)53.9%
Missing111
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean197396.25
Minimum195086.36
Maximum205752.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.8 KiB
2024-05-11T15:52:15.683488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195086.36
5-th percentile196060.56
Q1196605.51
median197062.32
Q3197614.41
95-th percentile200151.13
Maximum205752.67
Range10666.313
Interquartile range (IQR)1008.8996

Descriptive statistics

Standard deviation1248.763
Coefficient of variation (CV)0.0063261736
Kurtosis2.6626081
Mean197396.25
Median Absolute Deviation (MAD)490.16587
Skewness1.4838996
Sum2.6174743 × 108
Variance1559408.9
MonotonicityNot monotonic
2024-05-11T15:52:15.934922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
196839.641743356 30
 
2.1%
196762.077394917 28
 
1.9%
196370.746398773 26
 
1.8%
196189.205036161 23
 
1.6%
196060.559012563 22
 
1.5%
196873.001604976 21
 
1.5%
195956.83241222 15
 
1.0%
196118.749575977 12
 
0.8%
197117.41843467 11
 
0.8%
196893.277042114 11
 
0.8%
Other values (705) 1127
78.4%
(Missing) 111
 
7.7%
ValueCountFrequency (%)
195086.35935132 1
 
0.1%
195266.362355276 2
0.1%
195385.722601944 1
 
0.1%
195515.18314741 4
0.3%
195544.606275448 1
 
0.1%
195563.535062555 1
 
0.1%
195592.046332398 1
 
0.1%
195626.865584206 1
 
0.1%
195661.120716469 2
0.1%
195772.099586477 2
0.1%
ValueCountFrequency (%)
205752.672570015 1
0.1%
204699.105023486 1
0.1%
201136.179129654 1
0.1%
200969.971541614 1
0.1%
200887.091124451 1
0.1%
200851.73321483 1
0.1%
200824.55933234 2
0.1%
200805.532884219 1
0.1%
200801.017350307 1
0.1%
200793.804471719 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct714
Distinct (%)53.8%
Missing111
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean448195.65
Minimum445026.22
Maximum462482.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.8 KiB
2024-05-11T15:52:16.146840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum445026.22
5-th percentile446962.01
Q1447717.65
median447984.44
Q3448637.11
95-th percentile449893.3
Maximum462482.76
Range17456.543
Interquartile range (IQR)919.45424

Descriptive statistics

Standard deviation934.7096
Coefficient of variation (CV)0.0020854946
Kurtosis40.493761
Mean448195.65
Median Absolute Deviation (MAD)404.29398
Skewness3.0782093
Sum5.9430743 × 108
Variance873682.04
MonotonicityNot monotonic
2024-05-11T15:52:16.380309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447863.232025192 30
 
2.1%
447480.039577359 28
 
1.9%
447841.698787531 26
 
1.8%
447894.643407414 23
 
1.6%
447732.807254308 22
 
1.5%
447960.206197372 21
 
1.5%
447651.530984522 15
 
1.0%
447760.157527455 12
 
0.8%
447527.338271365 11
 
0.8%
447852.583272453 11
 
0.8%
Other values (704) 1127
78.4%
(Missing) 111
 
7.7%
ValueCountFrequency (%)
445026.216155204 1
 
0.1%
446114.155238838 2
0.1%
446185.244544796 1
 
0.1%
446248.255892098 1
 
0.1%
446344.591216568 3
0.2%
446402.782373614 1
 
0.1%
446419.923247168 1
 
0.1%
446423.95305147 1
 
0.1%
446425.373848781 3
0.2%
446437.197878548 1
 
0.1%
ValueCountFrequency (%)
462482.759040328 1
 
0.1%
450296.589217562 3
0.2%
450290.442701448 1
 
0.1%
450288.561776513 2
 
0.1%
450255.757958327 6
0.4%
450247.244679542 3
0.2%
450244.123927585 4
0.3%
450239.905239 1
 
0.1%
450229.427777316 2
 
0.1%
450211.855107496 1
 
0.1%

수리대상 의료기기의 유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1437
Missing (%)100.0%
Memory size12.8 KiB

다른 겸업 여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1437
Missing (%)100.0%
Memory size12.8 KiB

총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1437
Missing (%)100.0%
Memory size12.8 KiB

영업규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1437
Missing (%)100.0%
Memory size12.8 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
03020000PHMG11989302003304700000119890104<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3780-4400<NA><NA>서울특별시 용산구 한강로*가 ***번지서울특별시 용산구 한강대로 ** (한강로*가, LS용산타워)4386한국존슨앤드존슨메디칼㈜2022-01-19 16:05:00U2022-01-21 02:40:00.0<NA>197099.381482447328.548832<NA><NA><NA><NA>
13020000PHMG11992302003304700000119921029<NA>3폐업3폐업20081208<NA><NA><NA>02-707-1551<NA>140851서울특별시 용산구원효로*가 ***외*필지 *층<NA><NA>태성메디칼2008-12-08 17:30:23I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
23020000PHMG11993302003304700000119930520<NA>3폐업3폐업20100125<NA><NA><NA>02-706-8322<NA>140879서울특별시 용산구한강로*가 **-*, 전자랜드본관도로*층 c ***호<NA><NA>세인홈메디칼전자랜드점2010-01-25 17:26:07I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
33020000PHMG11993302003304700000219931007<NA>3폐업3폐업20130923<NA><NA><NA>02-749-1641<NA>140880서울특별시 용산구한강로*가 **-*** 삼정빌딩 *층서울특별시 용산구 한강대로**길 **, *층 (한강로*가)140013선경메디텍주식회사2014-05-22 14:23:19I2018-08-31 23:59:59.0<NA>196672.4209447097.91176<NA><NA><NA><NA>
43020000PHMG1199330200330470000031993-11-09<NA>1영업/정상13영업중<NA><NA><NA><NA>02-716-2844<NA><NA>서울특별시 용산구 원효로*가 ***-* 디아뜨센트럴서울특별시 용산구 원효로 ***, 디아뜨센트럴 *동 ***호 (원효로*가)4315우주의료기2023-02-28 16:04:06U2022-12-03 00:03:00.0<NA>196862.342806448388.101332<NA><NA><NA><NA>
53020000PHMG11994302003304700000119940221<NA>1영업/정상13영업중<NA><NA><NA><NA>02-798-2111<NA><NA>서울특별시 용산구 한남동 ***-* 이유앤빌딩서울특별시 용산구 대사관로**길 **-*, 이유앤빌딩 (한남동)4410동하산업㈜2022-01-07 13:19:27U2022-01-09 02:40:00.0<NA>200466.457005447721.348729<NA><NA><NA><NA>
63020000PHMG11995302003304700000119950729<NA>3폐업3폐업20210803<NA><NA><NA>02-715-3322<NA>140846서울특별시 용산구원효로*가 **-**서울특별시 용산구 백범로**다길 ** (원효로*가)4314(주)이즈엠2021-08-03 17:41:10U2021-08-05 02:40:00.0<NA>196942.928437448822.624188<NA><NA><NA><NA>
73020000PHMG11996302003304700000119961217<NA>3폐업3폐업20140327<NA><NA><NA>02-792-1941<NA>140011서울특별시 용산구한강로*가 ***-*서울특별시 용산구 한강대로**길 ** (한강로*가)140011아스트론상사2014-05-13 16:56:45I2018-08-31 23:59:59.0<NA>197663.885091448291.761759<NA><NA><NA><NA>
83020000PHMG11997302003304700000119971031<NA>3폐업3폐업20120612<NA><NA><NA>02-773-8980<NA><NA>서울특별시 용산구 동자동 **번지 **호 엠에스서울특별시 용산구 한강대로 ***-*, 엠에스 ***호 (동자동)4320신우양행2018-01-09 11:21:34I2018-08-31 23:59:59.0<NA>197440.1544449850.081584<NA><NA><NA><NA>
93020000PHMG11998302003304700000119980312<NA>1영업/정상13영업중<NA><NA>99991231<NA>02-702-3001<NA>140132서울특별시 용산구청파동*가 **-*<NA><NA>대명실업㈜2008-10-09 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
14273020000PHMG1202430200330470000112024-02-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강로*가 *-** 용산토투밸리서울특별시 용산구 새창로 ***, 용산토투밸리 *층 ***,***,***호 (한강로*가)4376주식회사 파나셀두리틀2024-02-21 16:09:17I2023-12-01 22:03:00.0<NA>197083.100438447552.774478<NA><NA><NA><NA>
14283020000PHMG1202430200330470000122020-10-21<NA>1영업/정상13영업중<NA><NA><NA><NA>02-775-3773<NA><NA>서울특별시 용산구 서계동 ***-*서울특별시 용산구 청파로**길 **, *층 ***호 (서계동)4300동우BKT2024-02-29 10:22:02I2023-12-03 00:02:00.0<NA>197099.467438450209.690651<NA><NA><NA><NA>
14293020000PHMG1202430200330470000132016-07-15<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2605-7522<NA><NA>서울특별시 용산구 원효로*가 **-*서울특별시 용산구 효창원로**길 **, *층 (원효로*가)4363혜당생활과학2024-03-11 09:26:43I2023-12-02 23:03:00.0<NA>196464.702062448169.437755<NA><NA><NA><NA>
14303020000PHMG1202430200330470000142024-03-112024-03-115제외/삭제/전출99삭제<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 용산동*가 *-**서울특별시 용산구 이태원로*가길 *, 지층 (용산동*가)4382엔젯포유2024-03-11 16:42:40I2023-12-02 23:03:00.0<NA>197757.792221447937.329105<NA><NA><NA><NA>
14313020000PHMG1202430200330470000152024-03-12<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6360-7811<NA><NA>서울특별시 용산구 동자동 ** 트윈시티 남산서울특별시 용산구 한강대로 ***, 트윈시티 남산 **층 비****호 (동자동)4323주식회사멜레아남산2024-03-12 15:43:49I2023-12-02 23:04:00.0<NA>197525.40731449844.319842<NA><NA><NA><NA>
14323020000PHMG1202430200330470000162024-04-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강로*가 **-***서울특별시 용산구 한강대로**다길 *, ***호 (한강로*가)4389아프로디테2024-04-02 09:59:54I2023-12-04 00:04:00.0<NA>196751.419936446731.133683<NA><NA><NA><NA>
14333020000PHMG1202430200330470000172024-04-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 용문동 **-*서울특별시 용산구 새창로**길 **, *층 (용문동)4356호주면세점 용산점2024-04-09 13:19:19I2023-12-03 23:01:00.0<NA>196339.86793448357.106062<NA><NA><NA><NA>
14343020000PHMG1202430200330470000182024-04-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 이촌동 ***-** 이촌상가서울특별시 용산구 이촌로**길 **-*, 이촌상가 ***호 (이촌동)4374주식회사 비원헬스케어2024-04-22 14:29:06U2023-12-03 22:04:00.0<NA>195936.183284447052.565742<NA><NA><NA><NA>
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