Overview

Dataset statistics

Number of variables29
Number of observations4132
Missing cells49988
Missing cells (%)41.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory988.7 KiB
Average record size in memory245.0 B

Variable types

Categorical5
Text6
DateTime7
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
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-16453/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has constant value ""Constant
인허가취소일자 has 4131 (> 99.9%) missing valuesMissing
폐업일자 has 1950 (47.2%) missing valuesMissing
휴업시작일자 has 4122 (99.8%) missing valuesMissing
휴업종료일자 has 4122 (99.8%) missing valuesMissing
재개업일자 has 4132 (100.0%) missing valuesMissing
전화번호 has 2455 (59.4%) missing valuesMissing
소재지면적 has 4132 (100.0%) missing valuesMissing
소재지우편번호 has 2956 (71.5%) missing valuesMissing
지번주소 has 137 (3.3%) missing valuesMissing
도로명주소 has 180 (4.4%) missing valuesMissing
도로명우편번호 has 327 (7.9%) missing valuesMissing
업태구분명 has 4132 (100.0%) missing valuesMissing
좌표정보(X) has 342 (8.3%) missing valuesMissing
좌표정보(Y) has 342 (8.3%) missing valuesMissing
수리대상 의료기기의 유형 has 4132 (100.0%) missing valuesMissing
다른 겸업 여부 has 4132 (100.0%) missing valuesMissing
총규모 has 4132 (100.0%) missing valuesMissing
영업규모 has 4132 (100.0%) missing valuesMissing
좌표정보(X) is highly skewed (γ1 = 33.59440851)Skewed
좌표정보(Y) is highly skewed (γ1 = -41.24577066)Skewed
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 started2024-04-29 19:01:37.941430
Analysis finished2024-04-29 19:01:39.238010
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
3230000
4132 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 4132
100.0%

Length

2024-04-30T04:01:39.306018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:01:39.401121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 4132
100.0%

관리번호
Text

UNIQUE 

Distinct4132
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
2024-04-30T04:01:39.563060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters103300
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

Unique4132 ?
Unique (%)100.0%

Sample

1st rowPHMG119863230034047000001
2nd rowPHMG119903230034047000001
3rd rowPHMG119903230034047000002
4th rowPHMG119913230034047000001
5th rowPHMG119913230034047000002
ValueCountFrequency (%)
phmg119863230034047000001 1
 
< 0.1%
phmg120203230034047000197 1
 
< 0.1%
phmg120203230034047000165 1
 
< 0.1%
phmg120203230034047000181 1
 
< 0.1%
phmg120203230034047000166 1
 
< 0.1%
phmg120203230034047000167 1
 
< 0.1%
phmg120203230034047000168 1
 
< 0.1%
phmg120203230034047000169 1
 
< 0.1%
phmg120203230034047000170 1
 
< 0.1%
phmg120203230034047000173 1
 
< 0.1%
Other values (4122) 4122
99.8%
2024-04-30T04:01:39.852048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 32690
31.6%
3 13983
13.5%
2 12027
 
11.6%
4 9695
 
9.4%
1 8851
 
8.6%
7 5133
 
5.0%
P 4132
 
4.0%
H 4132
 
4.0%
M 4132
 
4.0%
G 4132
 
4.0%
Other values (4) 4393
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 86772
84.0%
Uppercase Letter 16528
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 32690
37.7%
3 13983
16.1%
2 12027
 
13.9%
4 9695
 
11.2%
1 8851
 
10.2%
7 5133
 
5.9%
5 1209
 
1.4%
6 1096
 
1.3%
9 1086
 
1.3%
8 1002
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
P 4132
25.0%
H 4132
25.0%
M 4132
25.0%
G 4132
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 86772
84.0%
Latin 16528
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 32690
37.7%
3 13983
16.1%
2 12027
 
13.9%
4 9695
 
11.2%
1 8851
 
10.2%
7 5133
 
5.9%
5 1209
 
1.4%
6 1096
 
1.3%
9 1086
 
1.3%
8 1002
 
1.2%
Latin
ValueCountFrequency (%)
P 4132
25.0%
H 4132
25.0%
M 4132
25.0%
G 4132
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 103300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 32690
31.6%
3 13983
13.5%
2 12027
 
11.6%
4 9695
 
9.4%
1 8851
 
8.6%
7 5133
 
5.0%
P 4132
 
4.0%
H 4132
 
4.0%
M 4132
 
4.0%
G 4132
 
4.0%
Other values (4) 4393
 
4.3%

인허가일자
Date

Distinct2482
Distinct (%)60.1%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
Minimum1986-02-06 00:00:00
Maximum2024-04-25 00:00:00
2024-04-30T04:01:39.997592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:01:40.122671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing4131
Missing (%)> 99.9%
Memory size32.4 KiB
Minimum2023-05-11 00:00:00
Maximum2023-05-11 00:00:00
2024-04-30T04:01:40.205525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:01:40.274817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

영업상태코드
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
3
1977 
1
1796 
4
227 
5
 
122
2
 
10

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row4
3rd row3
4th row3
5th row4

Common Values

ValueCountFrequency (%)
3 1977
47.8%
1 1796
43.5%
4 227
 
5.5%
5 122
 
3.0%
2 10
 
0.2%

Length

2024-04-30T04:01:40.370291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:01:40.475769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1977
47.8%
1 1796
43.5%
4 227
 
5.5%
5 122
 
3.0%
2 10
 
0.2%

영업상태명
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
폐업
1977 
영업/정상
1796 
취소/말소/만료/정지/중지
227 
제외/삭제/전출
 
122
휴업
 
10

Length

Max length14
Median length8
Mean length4.1403679
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1977
47.8%
영업/정상 1796
43.5%
취소/말소/만료/정지/중지 227
 
5.5%
제외/삭제/전출 122
 
3.0%
휴업 10
 
0.2%

Length

2024-04-30T04:01:40.572426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:01:40.676833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1977
47.8%
영업/정상 1796
43.5%
취소/말소/만료/정지/중지 227
 
5.5%
제외/삭제/전출 122
 
3.0%
휴업 10
 
0.2%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8724589
Minimum2
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.4 KiB
2024-04-30T04:01:40.767937image/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 deviation6.2981245
Coefficient of variation (CV)0.70985108
Kurtosis9.4679574
Mean8.8724589
Median Absolute Deviation (MAD)10
Skewness1.2296863
Sum36661
Variance39.666373
MonotonicityNot monotonic
2024-04-30T04:01:40.853394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 1977
47.8%
13 1796
43.5%
24 227
 
5.5%
15 121
 
2.9%
2 10
 
0.2%
99 1
 
< 0.1%
ValueCountFrequency (%)
2 10
 
0.2%
3 1977
47.8%
13 1796
43.5%
15 121
 
2.9%
24 227
 
5.5%
99 1
 
< 0.1%
ValueCountFrequency (%)
99 1
 
< 0.1%
24 227
 
5.5%
15 121
 
2.9%
13 1796
43.5%
3 1977
47.8%
2 10
 
0.2%

상세영업상태명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
폐업
1977 
영업중
1796 
직권폐업
227 
전출
 
121
휴업
 
10

Length

Max length4
Median length2
Mean length2.5445305
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1977
47.8%
영업중 1796
43.5%
직권폐업 227
 
5.5%
전출 121
 
2.9%
휴업 10
 
0.2%
삭제 1
 
< 0.1%

Length

2024-04-30T04:01:40.959794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:01:41.062765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1977
47.8%
영업중 1796
43.5%
직권폐업 227
 
5.5%
전출 121
 
2.9%
휴업 10
 
0.2%
삭제 1
 
< 0.1%

폐업일자
Date

MISSING 

Distinct1345
Distinct (%)61.6%
Missing1950
Missing (%)47.2%
Memory size32.4 KiB
Minimum2008-10-08 00:00:00
Maximum2024-04-23 00:00:00
2024-04-30T04:01:41.175091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:01:41.298524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct10
Distinct (%)100.0%
Missing4122
Missing (%)99.8%
Memory size32.4 KiB
Minimum2022-01-01 00:00:00
Maximum2024-03-15 00:00:00
2024-04-30T04:01:41.402990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:01:41.485369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

휴업종료일자
Date

MISSING 

Distinct7
Distinct (%)70.0%
Missing4122
Missing (%)99.8%
Memory size32.4 KiB
Minimum2022-12-31 00:00:00
Maximum2026-12-31 00:00:00
2024-04-30T04:01:41.583583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:01:41.678368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4132
Missing (%)100.0%
Memory size36.4 KiB

전화번호
Text

MISSING 

Distinct1590
Distinct (%)94.8%
Missing2455
Missing (%)59.4%
Memory size32.4 KiB
2024-04-30T04:01:41.899849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length10.254025
Min length2

Characters and Unicode

Total characters17196
Distinct characters16
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1512 ?
Unique (%)90.2%

Sample

1st row02-423-2277
2nd row02-420-2051
3rd row02-416-2369
4th row02-409-8080
5th row02-408-7416
ValueCountFrequency (%)
4
 
0.2%
448-3233 3
 
0.2%
3444-7230 3
 
0.2%
02-443-4456 3
 
0.2%
02-3284-8116 3
 
0.2%
2263-7613 3
 
0.2%
02-415-6558 3
 
0.2%
3401-5764 3
 
0.2%
02-422-7222 2
 
0.1%
2247-0020 2
 
0.1%
Other values (1581) 1650
98.3%
2024-04-30T04:01:42.251965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2707
15.7%
- 2643
15.4%
2 2325
13.5%
4 1932
11.2%
1 1444
8.4%
3 1222
7.1%
7 1184
6.9%
5 1087
6.3%
8 1004
 
5.8%
6 872
 
5.1%
Other values (6) 776
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14540
84.6%
Dash Punctuation 2643
 
15.4%
Math Symbol 6
 
< 0.1%
Other Punctuation 4
 
< 0.1%
Space Separator 2
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2707
18.6%
2 2325
16.0%
4 1932
13.3%
1 1444
9.9%
3 1222
8.4%
7 1184
8.1%
5 1087
7.5%
8 1004
 
6.9%
6 872
 
6.0%
9 763
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 2
50.0%
* 2
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 2643
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17196
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2707
15.7%
- 2643
15.4%
2 2325
13.5%
4 1932
11.2%
1 1444
8.4%
3 1222
7.1%
7 1184
6.9%
5 1087
6.3%
8 1004
 
5.8%
6 872
 
5.1%
Other values (6) 776
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17196
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2707
15.7%
- 2643
15.4%
2 2325
13.5%
4 1932
11.2%
1 1444
8.4%
3 1222
7.1%
7 1184
6.9%
5 1087
6.3%
8 1004
 
5.8%
6 872
 
5.1%
Other values (6) 776
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4132
Missing (%)100.0%
Memory size36.4 KiB

소재지우편번호
Text

MISSING 

Distinct186
Distinct (%)15.8%
Missing2956
Missing (%)71.5%
Memory size32.4 KiB
2024-04-30T04:01:42.489656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0195578
Min length5

Characters and Unicode

Total characters7079
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

Unique62 ?
Unique (%)5.3%

Sample

1st row138878
2nd row138814
3rd row138848
4th row138240
5th row138727
ValueCountFrequency (%)
138960 89
 
7.6%
138200 34
 
2.9%
138827 32
 
2.7%
138862 26
 
2.2%
138864 23
 
2.0%
138854 22
 
1.9%
138850 22
 
1.9%
138830 22
 
1.9%
138846 19
 
1.6%
138848 19
 
1.6%
Other values (176) 868
73.8%
2024-04-30T04:01:42.845268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 2062
29.1%
1 1530
21.6%
3 1365
19.3%
0 460
 
6.5%
2 321
 
4.5%
6 302
 
4.3%
4 278
 
3.9%
7 255
 
3.6%
5 239
 
3.4%
9 238
 
3.4%
Other values (2) 29
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7050
99.6%
Dash Punctuation 24
 
0.3%
Space Separator 5
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 2062
29.2%
1 1530
21.7%
3 1365
19.4%
0 460
 
6.5%
2 321
 
4.6%
6 302
 
4.3%
4 278
 
3.9%
7 255
 
3.6%
5 239
 
3.4%
9 238
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7079
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 2062
29.1%
1 1530
21.6%
3 1365
19.3%
0 460
 
6.5%
2 321
 
4.5%
6 302
 
4.3%
4 278
 
3.9%
7 255
 
3.6%
5 239
 
3.4%
9 238
 
3.4%
Other values (2) 29
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7079
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 2062
29.1%
1 1530
21.6%
3 1365
19.3%
0 460
 
6.5%
2 321
 
4.5%
6 302
 
4.3%
4 278
 
3.9%
7 255
 
3.6%
5 239
 
3.4%
9 238
 
3.4%
Other values (2) 29
 
0.4%

지번주소
Text

MISSING 

Distinct1950
Distinct (%)48.8%
Missing137
Missing (%)3.3%
Memory size32.4 KiB
2024-04-30T04:01:43.090443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41
Mean length26.044305
Min length12

Characters and Unicode

Total characters104047
Distinct characters395
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1392 ?
Unique (%)34.8%

Sample

1st row서울특별시 송파구 잠실동 ***번지 *호 동신빌딩
2nd row서울특별시 송파구 방이동 **번지 *호
3rd row서울특별시 송파구 석촌동 ***번지 **호 *층
4th row서울특별시 송파구 문정동 ***번지 *호 *층
5th row서울특별시 송파구 가락동 ***번지 **호
ValueCountFrequency (%)
서울특별시 3991
18.2%
송파구 3990
18.2%
번지 2420
11.1%
호 2308
10.6%
1494
 
6.8%
문정동 936
 
4.3%
층 604
 
2.8%
가락동 482
 
2.2%
방이동 402
 
1.8%
잠실동 363
 
1.7%
Other values (1089) 4880
22.3%
2024-04-30T04:01:43.482359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17975
17.3%
* 17683
17.0%
파 5026
 
4.8%
송 4406
 
4.2%
동 4189
 
4.0%
시 4104
 
3.9%
서 4020
 
3.9%
울 4006
 
3.9%
구 4002
 
3.8%
별 3993
 
3.8%
Other values (385) 34643
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66520
63.9%
Space Separator 17975
 
17.3%
Other Punctuation 17724
 
17.0%
Dash Punctuation 1097
 
1.1%
Uppercase Letter 448
 
0.4%
Decimal Number 231
 
0.2%
Math Symbol 17
 
< 0.1%
Lowercase Letter 11
 
< 0.1%
Open Punctuation 10
 
< 0.1%
Close Punctuation 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 5026
 
7.6%
송 4406
 
6.6%
동 4189
 
6.3%
시 4104
 
6.2%
서 4020
 
6.0%
울 4006
 
6.0%
구 4002
 
6.0%
별 3993
 
6.0%
특 3991
 
6.0%
지 2770
 
4.2%
Other values (330) 26013
39.1%
Uppercase Letter
ValueCountFrequency (%)
T 67
15.0%
B 59
13.2%
L 54
12.1%
A 52
11.6%
Y 24
 
5.4%
C 23
 
5.1%
S 23
 
5.1%
D 20
 
4.5%
F 17
 
3.8%
K 16
 
3.6%
Other values (15) 93
20.8%
Decimal Number
ValueCountFrequency (%)
1 44
19.0%
6 31
13.4%
4 30
13.0%
2 29
12.6%
3 25
10.8%
0 16
 
6.9%
9 16
 
6.9%
8 14
 
6.1%
7 14
 
6.1%
5 12
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
i 2
18.2%
t 2
18.2%
e 2
18.2%
c 1
9.1%
b 1
9.1%
g 1
9.1%
a 1
9.1%
l 1
9.1%
Other Punctuation
ValueCountFrequency (%)
* 17683
99.8%
, 37
 
0.2%
. 3
 
< 0.1%
& 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
50.0%
Ⅲ 1
25.0%
Ⅱ 1
25.0%
Space Separator
ValueCountFrequency (%)
17975
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1097
100.0%
Math Symbol
ValueCountFrequency (%)
~ 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66520
63.9%
Common 37064
35.6%
Latin 463
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 5026
 
7.6%
송 4406
 
6.6%
동 4189
 
6.3%
시 4104
 
6.2%
서 4020
 
6.0%
울 4006
 
6.0%
구 4002
 
6.0%
별 3993
 
6.0%
특 3991
 
6.0%
지 2770
 
4.2%
Other values (330) 26013
39.1%
Latin
ValueCountFrequency (%)
T 67
14.5%
B 59
12.7%
L 54
11.7%
A 52
11.2%
Y 24
 
5.2%
C 23
 
5.0%
S 23
 
5.0%
D 20
 
4.3%
F 17
 
3.7%
K 16
 
3.5%
Other values (26) 108
23.3%
Common
ValueCountFrequency (%)
17975
48.5%
* 17683
47.7%
- 1097
 
3.0%
1 44
 
0.1%
, 37
 
0.1%
6 31
 
0.1%
4 30
 
0.1%
2 29
 
0.1%
3 25
 
0.1%
~ 17
 
< 0.1%
Other values (9) 96
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66519
63.9%
ASCII 37523
36.1%
Number Forms 4
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17975
47.9%
* 17683
47.1%
- 1097
 
2.9%
T 67
 
0.2%
B 59
 
0.2%
L 54
 
0.1%
A 52
 
0.1%
1 44
 
0.1%
, 37
 
0.1%
6 31
 
0.1%
Other values (42) 424
 
1.1%
Hangul
ValueCountFrequency (%)
파 5026
 
7.6%
송 4406
 
6.6%
동 4189
 
6.3%
시 4104
 
6.2%
서 4020
 
6.0%
울 4006
 
6.0%
구 4002
 
6.0%
별 3993
 
6.0%
특 3991
 
6.0%
지 2770
 
4.2%
Other values (329) 26012
39.1%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
50.0%
Ⅲ 1
25.0%
Ⅱ 1
25.0%
Compat Jamo
ValueCountFrequency (%)
ㅣ 1
100.0%

도로명주소
Text

MISSING 

Distinct2661
Distinct (%)67.3%
Missing180
Missing (%)4.4%
Memory size32.4 KiB
2024-04-30T04:01:43.700658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length52
Mean length35.382591
Min length16

Characters and Unicode

Total characters139832
Distinct characters407
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

Unique2119 ?
Unique (%)53.6%

Sample

1st row서울특별시 송파구 석촌호수로 **, 동신빌딩 (잠실동)
2nd row서울특별시 송파구 올림픽로**길 ** (방이동)
3rd row서울특별시 송파구 송파대로 ***, *층 (석촌동)
4th row서울특별시 송파구 중대로 **, *층 (문정동)
5th row서울특별시 송파구 동남로 *** (가락동)
ValueCountFrequency (%)
서울특별시 3950
14.6%
송파구 3946
14.6%
3915
14.5%
층 1588
 
5.9%
호 1577
 
5.8%
문정동 1050
 
3.9%
충민로 537
 
2.0%
가락동 527
 
2.0%
방이동 464
 
1.7%
잠실동 403
 
1.5%
Other values (1489) 9041
33.5%
2024-04-30T04:01:44.058594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23056
 
16.5%
* 22228
 
15.9%
파 5351
 
3.8%
송 4787
 
3.4%
동 4607
 
3.3%
, 4343
 
3.1%
시 4067
 
2.9%
서 3986
 
2.9%
로 3974
 
2.8%
울 3965
 
2.8%
Other values (397) 59468
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 79932
57.2%
Other Punctuation 26580
 
19.0%
Space Separator 23056
 
16.5%
Close Punctuation 3963
 
2.8%
Open Punctuation 3963
 
2.8%
Uppercase Letter 966
 
0.7%
Dash Punctuation 892
 
0.6%
Decimal Number 413
 
0.3%
Math Symbol 33
 
< 0.1%
Lowercase Letter 29
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 5351
 
6.7%
송 4787
 
6.0%
동 4607
 
5.8%
시 4067
 
5.1%
서 3986
 
5.0%
로 3974
 
5.0%
울 3965
 
5.0%
구 3955
 
4.9%
별 3952
 
4.9%
특 3950
 
4.9%
Other values (337) 37338
46.7%
Uppercase Letter
ValueCountFrequency (%)
B 163
16.9%
T 144
14.9%
A 122
12.6%
L 106
11.0%
C 77
8.0%
S 55
 
5.7%
Y 50
 
5.2%
D 35
 
3.6%
F 34
 
3.5%
E 27
 
2.8%
Other values (15) 153
15.8%
Lowercase Letter
ValueCountFrequency (%)
l 4
13.8%
e 4
13.8%
a 4
13.8%
i 3
10.3%
b 3
10.3%
c 3
10.3%
n 2
6.9%
t 1
 
3.4%
p 1
 
3.4%
k 1
 
3.4%
Other values (3) 3
10.3%
Decimal Number
ValueCountFrequency (%)
1 93
22.5%
0 67
16.2%
2 53
12.8%
6 47
11.4%
8 34
 
8.2%
3 31
 
7.5%
4 28
 
6.8%
9 25
 
6.1%
5 23
 
5.6%
7 12
 
2.9%
Other Punctuation
ValueCountFrequency (%)
* 22228
83.6%
, 4343
 
16.3%
. 8
 
< 0.1%
& 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
40.0%
Ⅲ 2
40.0%
Ⅱ 1
20.0%
Space Separator
ValueCountFrequency (%)
23056
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3963
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3963
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 892
100.0%
Math Symbol
ValueCountFrequency (%)
~ 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 79932
57.2%
Common 58900
42.1%
Latin 1000
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 5351
 
6.7%
송 4787
 
6.0%
동 4607
 
5.8%
시 4067
 
5.1%
서 3986
 
5.0%
로 3974
 
5.0%
울 3965
 
5.0%
구 3955
 
4.9%
별 3952
 
4.9%
특 3950
 
4.9%
Other values (337) 37338
46.7%
Latin
ValueCountFrequency (%)
B 163
16.3%
T 144
14.4%
A 122
12.2%
L 106
10.6%
C 77
7.7%
S 55
 
5.5%
Y 50
 
5.0%
D 35
 
3.5%
F 34
 
3.4%
E 27
 
2.7%
Other values (31) 187
18.7%
Common
ValueCountFrequency (%)
23056
39.1%
* 22228
37.7%
, 4343
 
7.4%
) 3963
 
6.7%
( 3963
 
6.7%
- 892
 
1.5%
1 93
 
0.2%
0 67
 
0.1%
2 53
 
0.1%
6 47
 
0.1%
Other values (9) 195
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 79932
57.2%
ASCII 59895
42.8%
Number Forms 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23056
38.5%
* 22228
37.1%
, 4343
 
7.3%
) 3963
 
6.6%
( 3963
 
6.6%
- 892
 
1.5%
B 163
 
0.3%
T 144
 
0.2%
A 122
 
0.2%
L 106
 
0.2%
Other values (47) 915
 
1.5%
Hangul
ValueCountFrequency (%)
파 5351
 
6.7%
송 4787
 
6.0%
동 4607
 
5.8%
시 4067
 
5.1%
서 3986
 
5.0%
로 3974
 
5.0%
울 3965
 
5.0%
구 3955
 
4.9%
별 3952
 
4.9%
특 3950
 
4.9%
Other values (337) 37338
46.7%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
40.0%
Ⅲ 2
40.0%
Ⅱ 1
20.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct422
Distinct (%)11.1%
Missing327
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean22048.097
Minimum4528
Maximum138962
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.4 KiB
2024-04-30T04:01:44.355569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4528
5-th percentile5510
Q15612
median5737
Q35838
95-th percentile138850
Maximum138962
Range134434
Interquartile range (IQR)226

Descriptive statistics

Standard deviation43679.518
Coefficient of variation (CV)1.9811015
Kurtosis3.2913042
Mean22048.097
Median Absolute Deviation (MAD)103
Skewness2.2996865
Sum83893010
Variance1.9079003 × 109
MonotonicityNot monotonic
2024-04-30T04:01:44.472293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5838 358
 
8.7%
5510 115
 
2.8%
5854 92
 
2.2%
5855 87
 
2.1%
5840 79
 
1.9%
5719 59
 
1.4%
138960 58
 
1.4%
5836 53
 
1.3%
5554 44
 
1.1%
5542 43
 
1.0%
Other values (412) 2817
68.2%
(Missing) 327
 
7.9%
ValueCountFrequency (%)
4528 1
 
< 0.1%
5500 2
 
< 0.1%
5501 13
0.3%
5502 4
 
0.1%
5503 8
 
0.2%
5504 28
0.7%
5505 9
 
0.2%
5506 2
 
< 0.1%
5507 17
0.4%
5508 3
 
0.1%
ValueCountFrequency (%)
138962 9
 
0.2%
138960 58
1.4%
138956 1
 
< 0.1%
138953 2
 
< 0.1%
138934 1
 
< 0.1%
138929 1
 
< 0.1%
138922 1
 
< 0.1%
138916 1
 
< 0.1%
138915 1
 
< 0.1%
138911 1
 
< 0.1%

사업장명
Text

Distinct3940
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
2024-04-30T04:01:44.696636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length26
Mean length8.3114714
Min length1

Characters and Unicode

Total characters34343
Distinct characters694
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3764 ?
Unique (%)91.1%

Sample

1st row이콘택트렌즈
2nd row대동양행
3rd row오륜콘택트렌즈
4th row곽콘택트렌즈
5th row정콘택트렌즈
ValueCountFrequency (%)
주식회사 264
 
4.9%
주)코리아세븐 148
 
2.7%
gs25 60
 
1.1%
씨유 37
 
0.7%
세븐일레븐 28
 
0.5%
잠실점 27
 
0.5%
이마트24 27
 
0.5%
cu 25
 
0.5%
㈜코리아세븐 23
 
0.4%
씨제이올리브영(주 20
 
0.4%
Other values (4071) 4732
87.8%
2024-04-30T04:01:45.094903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1502
 
4.4%
( 1421
 
4.1%
) 1421
 
4.1%
1268
 
3.7%
이 1231
 
3.6%
스 1175
 
3.4%
점 893
 
2.6%
디 836
 
2.4%
메 835
 
2.4%
리 706
 
2.1%
Other values (684) 23055
67.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27723
80.7%
Open Punctuation 1421
 
4.1%
Close Punctuation 1421
 
4.1%
Space Separator 1268
 
3.7%
Uppercase Letter 1188
 
3.5%
Lowercase Letter 561
 
1.6%
Decimal Number 481
 
1.4%
Other Symbol 196
 
0.6%
Other Punctuation 60
 
0.2%
Dash Punctuation 20
 
0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1502
 
5.4%
이 1231
 
4.4%
스 1175
 
4.2%
점 893
 
3.2%
디 836
 
3.0%
메 835
 
3.0%
리 706
 
2.5%
아 680
 
2.5%
에 526
 
1.9%
코 524
 
1.9%
Other values (613) 18815
67.9%
Uppercase Letter
ValueCountFrequency (%)
S 230
19.4%
G 162
13.6%
C 99
 
8.3%
M 73
 
6.1%
U 72
 
6.1%
A 49
 
4.1%
E 47
 
4.0%
I 43
 
3.6%
B 42
 
3.5%
D 42
 
3.5%
Other values (15) 329
27.7%
Lowercase Letter
ValueCountFrequency (%)
e 88
15.7%
i 60
10.7%
a 50
8.9%
n 42
 
7.5%
d 42
 
7.5%
c 39
 
7.0%
l 39
 
7.0%
o 37
 
6.6%
m 28
 
5.0%
s 27
 
4.8%
Other values (15) 109
19.4%
Decimal Number
ValueCountFrequency (%)
2 217
45.1%
5 175
36.4%
4 40
 
8.3%
1 20
 
4.2%
3 16
 
3.3%
8 5
 
1.0%
6 4
 
0.8%
9 3
 
0.6%
0 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
. 30
50.0%
& 25
41.7%
, 3
 
5.0%
# 1
 
1.7%
/ 1
 
1.7%
Open Punctuation
ValueCountFrequency (%)
( 1421
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1421
100.0%
Space Separator
ValueCountFrequency (%)
1268
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 196
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27919
81.3%
Common 4675
 
13.6%
Latin 1749
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1502
 
5.4%
이 1231
 
4.4%
스 1175
 
4.2%
점 893
 
3.2%
디 836
 
3.0%
메 835
 
3.0%
리 706
 
2.5%
아 680
 
2.4%
에 526
 
1.9%
코 524
 
1.9%
Other values (614) 19011
68.1%
Latin
ValueCountFrequency (%)
S 230
 
13.2%
G 162
 
9.3%
C 99
 
5.7%
e 88
 
5.0%
M 73
 
4.2%
U 72
 
4.1%
i 60
 
3.4%
a 50
 
2.9%
A 49
 
2.8%
E 47
 
2.7%
Other values (40) 819
46.8%
Common
ValueCountFrequency (%)
( 1421
30.4%
) 1421
30.4%
1268
27.1%
2 217
 
4.6%
5 175
 
3.7%
4 40
 
0.9%
. 30
 
0.6%
& 25
 
0.5%
- 20
 
0.4%
1 20
 
0.4%
Other values (10) 38
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27723
80.7%
ASCII 6423
 
18.7%
None 196
 
0.6%
Punctuation 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1502
 
5.4%
이 1231
 
4.4%
스 1175
 
4.2%
점 893
 
3.2%
디 836
 
3.0%
메 835
 
3.0%
리 706
 
2.5%
아 680
 
2.5%
에 526
 
1.9%
코 524
 
1.9%
Other values (613) 18815
67.9%
ASCII
ValueCountFrequency (%)
( 1421
22.1%
) 1421
22.1%
1268
19.7%
S 230
 
3.6%
2 217
 
3.4%
5 175
 
2.7%
G 162
 
2.5%
C 99
 
1.5%
e 88
 
1.4%
M 73
 
1.1%
Other values (59) 1269
19.8%
None
ValueCountFrequency (%)
㈜ 196
100.0%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

최종수정일자
Date

Distinct4120
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
Minimum2008-12-11 18:03:05
Maximum2024-04-25 16:55:27
2024-04-30T04:01:45.216182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:01:45.320956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
I
2612 
U
1519 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
I 2612
63.2%
U 1519
36.8%
D 1
 
< 0.1%

Length

2024-04-30T04:01:45.415446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:01:45.500994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2612
63.2%
u 1519
36.8%
d 1
 
< 0.1%

데이터갱신일자
Date

Distinct1053
Distinct (%)25.5%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:05:00
2024-04-30T04:01:45.606929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:01:45.733678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4132
Missing (%)100.0%
Memory size36.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING  SKEWED 

Distinct1589
Distinct (%)41.9%
Missing342
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean210280.84
Minimum197831
Maximum341565.61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.4 KiB
2024-04-30T04:01:45.838505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum197831
5-th percentile207387.44
Q1209412.38
median210480.28
Q3211023.83
95-th percentile212730.73
Maximum341565.61
Range143734.6
Interquartile range (IQR)1611.4517

Descriptive statistics

Standard deviation2608.2205
Coefficient of variation (CV)0.01240351
Kurtosis1694.3111
Mean210280.84
Median Absolute Deviation (MAD)772.15409
Skewness33.594409
Sum7.9696438 × 108
Variance6802814.4
MonotonicityNot monotonic
2024-04-30T04:01:45.966604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210986.460698452 339
 
8.2%
211053.119518 79
 
1.9%
210480.282018702 73
 
1.8%
208589.363343145 56
 
1.4%
209140.885315651 40
 
1.0%
208707.089897534 31
 
0.8%
212645.539631084 27
 
0.7%
209427.410217251 27
 
0.7%
210491.321883503 25
 
0.6%
210357.375077208 24
 
0.6%
Other values (1579) 3069
74.3%
(Missing) 342
 
8.3%
ValueCountFrequency (%)
197831.002724157 1
 
< 0.1%
206383.829438022 2
 
< 0.1%
206397.34797252 6
0.1%
206425.501600423 1
 
< 0.1%
206498.438841963 2
 
< 0.1%
206726.499021996 2
 
< 0.1%
206731.192156063 1
 
< 0.1%
206802.873762097 1
 
< 0.1%
206824.750089526 1
 
< 0.1%
206877.588291045 1
 
< 0.1%
ValueCountFrequency (%)
341565.606479646 1
 
< 0.1%
218281.159611217 1
 
< 0.1%
213999.956783491 1
 
< 0.1%
213977.355937651 3
0.1%
213885.153488894 1
 
< 0.1%
213859.070843691 1
 
< 0.1%
213795.835875629 1
 
< 0.1%
213633.963736104 1
 
< 0.1%
213628.347213655 1
 
< 0.1%
213619.755935179 1
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING  SKEWED 

Distinct1586
Distinct (%)41.8%
Missing342
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean444121.81
Minimum272642.15
Maximum456604.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.4 KiB
2024-04-30T04:01:46.093688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum272642.15
5-th percentile441725.29
Q1443089.54
median444310.63
Q3445351.91
95-th percentile446144.01
Maximum456604.85
Range183962.69
Interquartile range (IQR)2262.3682

Descriptive statistics

Standard deviation3183.8468
Coefficient of variation (CV)0.0071688595
Kurtosis2221.6335
Mean444121.81
Median Absolute Deviation (MAD)1102.3042
Skewness-41.245771
Sum1.6832217 × 109
Variance10136881
MonotonicityNot monotonic
2024-04-30T04:01:46.225535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
441725.293491662 339
 
8.2%
442026.988783 79
 
1.9%
441833.16323518 73
 
1.8%
445455.90405262 56
 
1.4%
446042.592367722 40
 
1.0%
446299.352775446 31
 
0.8%
445829.725943441 27
 
0.7%
443127.535494347 27
 
0.7%
443569.763243482 25
 
0.6%
442053.227933005 24
 
0.6%
Other values (1576) 3069
74.3%
(Missing) 342
 
8.3%
ValueCountFrequency (%)
272642.152869602 1
 
< 0.1%
430876.03 1
 
< 0.1%
440949.654290777 2
< 0.1%
441411.906445707 1
 
< 0.1%
441412.0 1
 
< 0.1%
441426.0 2
< 0.1%
441534.957797015 1
 
< 0.1%
441548.0 1
 
< 0.1%
441585.372783391 2
< 0.1%
441586.029967716 3
0.1%
ValueCountFrequency (%)
456604.847586182 1
 
< 0.1%
450794.31483169 1
 
< 0.1%
449964.900329853 1
 
< 0.1%
448601.324644324 5
0.1%
448593.535808124 1
 
< 0.1%
448553.63680263 1
 
< 0.1%
448461.866096122 1
 
< 0.1%
448420.462280533 3
0.1%
448408.828671864 1
 
< 0.1%
448406.785482205 1
 
< 0.1%

수리대상 의료기기의 유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4132
Missing (%)100.0%
Memory size36.4 KiB

다른 겸업 여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4132
Missing (%)100.0%
Memory size36.4 KiB

총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4132
Missing (%)100.0%
Memory size36.4 KiB

영업규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4132
Missing (%)100.0%
Memory size36.4 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
03230000PHMG1198632300340470000011986-02-06<NA>1영업/정상13영업중<NA><NA><NA><NA>02-423-2277<NA><NA>서울특별시 송파구 잠실동 ***번지 *호 동신빌딩서울특별시 송파구 석촌호수로 **, 동신빌딩 (잠실동)5558이콘택트렌즈2023-06-29 10:46:53U2022-12-07 00:01:00.0<NA>207481.229098445437.48485<NA><NA><NA><NA>
13230000PHMG11990323003404700000119900324<NA>4취소/말소/만료/정지/중지24직권폐업20201228<NA><NA><NA>02-420-2051<NA><NA>서울특별시 송파구 방이동 **번지 *호서울특별시 송파구 올림픽로**길 ** (방이동)5547대동양행2021-01-04 20:38:55U2021-01-06 02:40:00.0<NA>209624.285305445778.971194<NA><NA><NA><NA>
23230000PHMG11990323003404700000219900918<NA>3폐업3폐업20140502<NA><NA><NA>02-416-2369<NA><NA>서울특별시 송파구 석촌동 ***번지 **호 *층서울특별시 송파구 송파대로 ***, *층 (석촌동)138847오륜콘택트렌즈2014-05-02 19:09:41I2018-08-31 23:59:59.0<NA>209697.626754444325.441598<NA><NA><NA><NA>
33230000PHMG11991323003404700000119910131<NA>3폐업3폐업20170919<NA><NA><NA>02-409-8080<NA><NA>서울특별시 송파구 문정동 ***번지 *호 *층서울특별시 송파구 중대로 **, *층 (문정동)5833곽콘택트렌즈2017-09-19 13:05:49I2018-08-31 23:59:59.0<NA>210343.699256443288.284975<NA><NA><NA><NA>
43230000PHMG11991323003404700000219910703<NA>4취소/말소/만료/정지/중지24직권폐업20110930<NA><NA><NA>02-408-7416<NA><NA>서울특별시 송파구 가락동 ***번지 **호서울특별시 송파구 동남로 *** (가락동)5820정콘택트렌즈2015-08-11 17:26:09I2018-08-31 23:59:59.0<NA>211505.231669443770.811809<NA><NA><NA><NA>
53230000PHMG11992323003404700000119920430<NA>3폐업3폐업20160104<NA><NA><NA>02-430-7918<NA><NA>서울특별시 송파구 가락동 **번지 **호 동서울클리닉 *층서울특별시 송파구 송이로 ** (가락동, 동서울클리닉*층)5706동서울콘택트렌즈2016-01-04 16:04:23I2018-08-31 23:59:59.0<NA>210612.04499444025.055623<NA><NA><NA><NA>
63230000PHMG11992323003404700000219921024<NA>3폐업3폐업20211223<NA><NA><NA>02-421-5217<NA><NA>서울특별시 송파구 송파동 ***번지 *호 송암빌딩서울특별시 송파구 백제고분로**길 *, 송암빌딩 *층 (송파동)5662태두무역2021-12-24 10:16:04U2021-12-26 02:40:00.0<NA>209844.202196445160.354034<NA><NA><NA><NA>
73230000PHMG11994323003404700000119940726<NA>3폐업3폐업20090713<NA><NA><NA>02-474-6767<NA>138878서울특별시 송파구 풍납동 ***번지 **호 *층<NA><NA>현대종합의료기2009-07-13 17:31:31I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
83230000PHMG11994323003404700000219941007<NA>3폐업3폐업20090504<NA><NA><NA>02-412-9747<NA><NA>서울특별시 송파구 잠실동 ***번지 **호 국제빌딩 *층<NA><NA>대한보청기2009-05-04 17:51:44I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
93230000PHMG11994323003404700000319941221<NA>1영업/정상13영업중<NA><NA><NA><NA>02-402-1014<NA><NA>서울특별시 송파구 가락동 **번지 **호서울특별시 송파구 송이로 **, *층 (가락동)5706한백양행2018-01-24 11:23:46I2018-08-31 23:59:59.0<NA>210594.606299444036.683431<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
41223230000PHMG1202432300340470000722024-04-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 *** 가든파이브툴서울특별시 송파구 충민로 **, 가든파이브툴 *층 S**-케이**호 (문정동)5840에프유씨메디서포트2024-04-11 15:04:39I2023-12-03 23:03:00.0<NA>210480.282019441833.163235<NA><NA><NA><NA>
41233230000PHMG1202432300340470000732024-04-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 *** 가든파이브라이프서울특별시 송파구 충민로 **, 가든파이브라이프 *층 F-****호 (문정동)5838주식회사 메디라인2024-04-12 15:51:44I2023-12-03 23:04:00.0<NA>210986.460698441725.293492<NA><NA><NA><NA>
41243230000PHMG1202432300340470000742024-04-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 송파동 **-*서울특별시 송파구 백제고분로 ***, *층 *호 (송파동)5621알아이에스애프앤에이 주식회사2024-04-13 10:20:33I2023-12-03 23:05:00.0<NA>209655.074922445070.563931<NA><NA><NA><NA>
41253230000PHMG1202432300340470000752024-04-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 *** 가든파이브툴서울특별시 송파구 충민로 **, 가든파이브툴 *층 C-**호 (문정동)5840주식회사 에이치케이사이언스2024-04-15 15:44:10I2023-12-03 23:07:00.0<NA>210480.282019441833.163235<NA><NA><NA><NA>
41263230000PHMG1202432300340470000762024-04-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 **-* 대명빌딩서울특별시 송파구 중대로 ***, 대명빌딩 *층 ***-J**호 (가락동)5702엔도테라2024-04-16 13:35:55I2023-12-03 23:08:00.0<NA>211108.961742444263.057029<NA><NA><NA><NA>
41273230000PHMG1202432300340470000772024-04-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 ***-* 문정역SKV*서울특별시 송파구 법원로 ***, 문정역SKV* B동 ***-**호 (문정동)5854(주)싸이토젠2024-04-18 16:07:44I2023-12-03 22:00:00.0<NA><NA><NA><NA><NA><NA><NA>
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