Overview

Dataset statistics

Number of variables33
Number of observations9783
Missing cells118007
Missing cells (%)36.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 MiB
Average record size in memory279.0 B

Variable types

Numeric3
Text11
Unsupported7
Categorical9
DateTime3

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),환경업무구분명,업종구분명,종별명,주생산품명,배출시설조업시간,배출시설연간가동일수,방지시설조업시간,방지시설연간가동일수
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-21240/S/1/datasetView.do

Alerts

휴업시작일자 is highly imbalanced (99.8%)Imbalance
데이터갱신구분 is highly imbalanced (53.9%)Imbalance
환경업무구분명 is highly imbalanced (50.4%)Imbalance
인허가취소일자 has 9783 (100.0%) missing valuesMissing
폐업일자 has 4893 (50.0%) missing valuesMissing
휴업종료일자 has 9783 (100.0%) missing valuesMissing
재개업일자 has 9783 (100.0%) missing valuesMissing
전화번호 has 2638 (27.0%) missing valuesMissing
소재지면적 has 9783 (100.0%) missing valuesMissing
소재지우편번호 has 7582 (77.5%) missing valuesMissing
도로명주소 has 1958 (20.0%) missing valuesMissing
도로명우편번호 has 5377 (55.0%) missing valuesMissing
업태구분명 has 7898 (80.7%) missing valuesMissing
좌표정보(X) has 728 (7.4%) missing valuesMissing
좌표정보(Y) has 728 (7.4%) missing valuesMissing
업종구분명 has 7992 (81.7%) missing valuesMissing
종별명 has 9783 (100.0%) missing valuesMissing
주생산품명 has 9732 (99.5%) missing valuesMissing
배출시설조업시간 has 9783 (100.0%) missing valuesMissing
방지시설조업시간 has 9783 (100.0%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
종별명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
배출시설조업시간 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방지시설조업시간 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-10 23:45:10.382872
Analysis finished2024-05-10 23:45:16.779628
Duration6.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3130350.7
Minimum3000000
Maximum5230000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.1 KiB
2024-05-10T23:45:16.977395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3000000
Q13060000
median3140000
Q33210000
95-th percentile3240000
Maximum5230000
Range2230000
Interquartile range (IQR)150000

Descriptive statistics

Standard deviation82624.551
Coefficient of variation (CV)0.026394663
Kurtosis47.731104
Mean3130350.7
Median Absolute Deviation (MAD)70000
Skewness1.9743157
Sum3.0624221 × 1010
Variance6.8268164 × 109
MonotonicityNot monotonic
2024-05-10T23:45:17.334788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
3000000 993
 
10.2%
3220000 972
 
9.9%
3230000 659
 
6.7%
3150000 588
 
6.0%
3240000 499
 
5.1%
3210000 428
 
4.4%
3130000 424
 
4.3%
3100000 413
 
4.2%
3050000 386
 
3.9%
3180000 368
 
3.8%
Other values (18) 4053
41.4%
ValueCountFrequency (%)
3000000 993
10.2%
3010000 36
 
0.4%
3020000 205
 
2.1%
3030000 357
 
3.6%
3040000 298
 
3.0%
3050000 386
 
3.9%
3060000 300
 
3.1%
3070000 309
 
3.2%
3080000 225
 
2.3%
3090000 325
 
3.3%
ValueCountFrequency (%)
5230000 1
 
< 0.1%
4241000 1
 
< 0.1%
4240000 1
 
< 0.1%
3240000 499
5.1%
3230000 659
6.7%
3220000 972
9.9%
3210000 428
4.4%
3200000 293
 
3.0%
3190000 251
 
2.6%
3180000 368
 
3.8%
Distinct9782
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Memory size76.6 KiB
2024-05-10T23:45:17.868157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters176094
Distinct characters11
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

Unique9781 ?
Unique (%)> 99.9%

Sample

1st row317000025201800004
2nd row309000025200600006
3rd row309000025200500001
4th row319000025200400038
5th row309000025200300102
ValueCountFrequency (%)
424100025202100001 2
 
< 0.1%
318000025202100094 1
 
< 0.1%
319000025202100020 1
 
< 0.1%
319000025202100029 1
 
< 0.1%
318000025202100082 1
 
< 0.1%
318000025202100083 1
 
< 0.1%
318000025202100084 1
 
< 0.1%
318000025202100092 1
 
< 0.1%
318000025202100093 1
 
< 0.1%
318000025202100095 1
 
< 0.1%
Other values (9772) 9772
99.9%
2024-05-10T23:45:18.818297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 89782
51.0%
2 28295
 
16.1%
3 15216
 
8.6%
5 13279
 
7.5%
1 13055
 
7.4%
9 4502
 
2.6%
4 3931
 
2.2%
8 2861
 
1.6%
6 2668
 
1.5%
7 2504
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 176093
> 99.9%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 89782
51.0%
2 28295
 
16.1%
3 15216
 
8.6%
5 13279
 
7.5%
1 13055
 
7.4%
9 4502
 
2.6%
4 3931
 
2.2%
8 2861
 
1.6%
6 2668
 
1.5%
7 2504
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 176094
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 89782
51.0%
2 28295
 
16.1%
3 15216
 
8.6%
5 13279
 
7.5%
1 13055
 
7.4%
9 4502
 
2.6%
4 3931
 
2.2%
8 2861
 
1.6%
6 2668
 
1.5%
7 2504
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 176094
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 89782
51.0%
2 28295
 
16.1%
3 15216
 
8.6%
5 13279
 
7.5%
1 13055
 
7.4%
9 4502
 
2.6%
4 3931
 
2.2%
8 2861
 
1.6%
6 2668
 
1.5%
7 2504
 
1.4%
Distinct3893
Distinct (%)39.8%
Missing0
Missing (%)0.0%
Memory size76.6 KiB
2024-05-10T23:45:19.531233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.121844
Min length8

Characters and Unicode

Total characters79456
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

Unique2231 ?
Unique (%)22.8%

Sample

1st row2018-09-27
2nd row2006-07-05
3rd row2005-01-12
4th row2004-07-26
5th row2002-09-06
ValueCountFrequency (%)
20030722 151
 
1.5%
20210630 107
 
1.1%
20210625 98
 
1.0%
19950106 85
 
0.9%
20210623 81
 
0.8%
20210616 74
 
0.8%
20210622 69
 
0.7%
20030708 64
 
0.7%
20210629 64
 
0.7%
20210617 57
 
0.6%
Other values (3883) 8933
91.3%
2024-05-10T23:45:20.905806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 26026
32.8%
2 16641
20.9%
1 12527
15.8%
9 5364
 
6.8%
6 3364
 
4.2%
5 3258
 
4.1%
3 3117
 
3.9%
8 2749
 
3.5%
4 2656
 
3.3%
7 2560
 
3.2%
Other values (2) 1194
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 78262
98.5%
Dash Punctuation 1192
 
1.5%
Space Separator 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 26026
33.3%
2 16641
21.3%
1 12527
16.0%
9 5364
 
6.9%
6 3364
 
4.3%
5 3258
 
4.2%
3 3117
 
4.0%
8 2749
 
3.5%
4 2656
 
3.4%
7 2560
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 1192
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 79456
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 26026
32.8%
2 16641
20.9%
1 12527
15.8%
9 5364
 
6.8%
6 3364
 
4.2%
5 3258
 
4.1%
3 3117
 
3.9%
8 2749
 
3.5%
4 2656
 
3.3%
7 2560
 
3.2%
Other values (2) 1194
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 79456
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 26026
32.8%
2 16641
20.9%
1 12527
15.8%
9 5364
 
6.8%
6 3364
 
4.2%
5 3258
 
4.1%
3 3117
 
3.9%
8 2749
 
3.5%
4 2656
 
3.3%
7 2560
 
3.2%
Other values (2) 1194
 
1.5%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9783
Missing (%)100.0%
Memory size86.1 KiB
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size76.6 KiB
1
3979 
3
3866 
4
1918 
5
 
18
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 3979
40.7%
3 3866
39.5%
4 1918
19.6%
5 18
 
0.2%
2 2
 
< 0.1%

Length

2024-05-10T23:45:21.380619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:45:21.723339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3979
40.7%
3 3866
39.5%
4 1918
19.6%
5 18
 
0.2%
2 2
 
< 0.1%

영업상태명
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size76.6 KiB
영업/정상
3979 
폐업
3866 
취소/말소/만료/정지/중지
1918 
제외/삭제/전출
 
18
휴업
 
2

Length

Max length14
Median length8
Mean length5.58387
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 3979
40.7%
폐업 3866
39.5%
취소/말소/만료/정지/중지 1918
19.6%
제외/삭제/전출 18
 
0.2%
휴업 2
 
< 0.1%

Length

2024-05-10T23:45:22.132854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:45:22.521031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 3979
40.7%
폐업 3866
39.5%
취소/말소/만료/정지/중지 1918
19.6%
제외/삭제/전출 18
 
0.2%
휴업 2
 
< 0.1%
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size76.6 KiB
11
3979 
2
3866 
4
1918 
5
 
18
1
 
2

Length

Max length2
Median length1
Mean length1.406726
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11
2nd row11
3rd row11
4th row11
5th row11

Common Values

ValueCountFrequency (%)
11 3979
40.7%
2 3866
39.5%
4 1918
19.6%
5 18
 
0.2%
1 2
 
< 0.1%

Length

2024-05-10T23:45:23.128801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:45:23.525613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 3979
40.7%
2 3866
39.5%
4 1918
19.6%
5 18
 
0.2%
1 2
 
< 0.1%
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size76.6 KiB
영업
3979 
폐업
3866 
폐쇄
1918 
제외사항
 
18
휴업
 
2

Length

Max length4
Median length2
Mean length2.0036799
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 3979
40.7%
폐업 3866
39.5%
폐쇄 1918
19.6%
제외사항 18
 
0.2%
휴업 2
 
< 0.1%

Length

2024-05-10T23:45:23.940092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:45:24.353943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 3979
40.7%
폐업 3866
39.5%
폐쇄 1918
19.6%
제외사항 18
 
0.2%
휴업 2
 
< 0.1%

폐업일자
Date

MISSING 

Distinct2702
Distinct (%)55.3%
Missing4893
Missing (%)50.0%
Memory size76.6 KiB
Minimum1997-05-09 00:00:00
Maximum2024-04-29 00:00:00
2024-05-10T23:45:24.839494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:45:25.412378image/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 size76.6 KiB
<NA>
9782 
20220927
 
1

Length

Max length8
Median length4
Mean length4.0004089
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> 9782
> 99.9%
20220927 1
 
< 0.1%

Length

2024-05-10T23:45:26.238418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:45:26.754410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9782
> 99.9%
20220927 1
 
< 0.1%

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9783
Missing (%)100.0%
Memory size86.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9783
Missing (%)100.0%
Memory size86.1 KiB

전화번호
Text

MISSING 

Distinct6910
Distinct (%)96.7%
Missing2638
Missing (%)27.0%
Memory size76.6 KiB
2024-05-10T23:45:27.738065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length9.6815955
Min length2

Characters and Unicode

Total characters69175
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

Unique6757 ?
Unique (%)94.6%

Sample

1st row0234934084
2nd row9950162
3rd row8058277
4th row02902 6991
5th row029909614
ValueCountFrequency (%)
02 771
 
8.8%
0002 105
 
1.2%
9301 54
 
0.6%
514 39
 
0.4%
5149301 21
 
0.2%
02514 20
 
0.2%
02545 14
 
0.2%
02542 14
 
0.2%
02555 12
 
0.1%
02552 12
 
0.1%
Other values (7133) 7748
87.9%
2024-05-10T23:45:29.207558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10903
15.8%
2 10786
15.6%
5 5864
8.5%
7 5618
8.1%
4 5409
7.8%
3 5302
7.7%
6 5020
7.3%
1 4834
7.0%
- 4639
6.7%
8 4407
6.4%
Other values (4) 6393
9.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 62492
90.3%
Dash Punctuation 4639
 
6.7%
Space Separator 1987
 
2.9%
Close Punctuation 55
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10903
17.4%
2 10786
17.3%
5 5864
9.4%
7 5618
9.0%
4 5409
8.7%
3 5302
8.5%
6 5020
8.0%
1 4834
7.7%
8 4407
7.1%
9 4349
 
7.0%
Dash Punctuation
ValueCountFrequency (%)
- 4639
100.0%
Space Separator
ValueCountFrequency (%)
1987
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 69175
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10903
15.8%
2 10786
15.6%
5 5864
8.5%
7 5618
8.1%
4 5409
7.8%
3 5302
7.7%
6 5020
7.3%
1 4834
7.0%
- 4639
6.7%
8 4407
6.4%
Other values (4) 6393
9.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 69175
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10903
15.8%
2 10786
15.6%
5 5864
8.5%
7 5618
8.1%
4 5409
7.8%
3 5302
7.7%
6 5020
7.3%
1 4834
7.0%
- 4639
6.7%
8 4407
6.4%
Other values (4) 6393
9.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9783
Missing (%)100.0%
Memory size86.1 KiB

소재지우편번호
Text

MISSING 

Distinct723
Distinct (%)32.8%
Missing7582
Missing (%)77.5%
Memory size76.6 KiB
2024-05-10T23:45:30.078969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0177192
Min length6

Characters and Unicode

Total characters13245
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique403 ?
Unique (%)18.3%

Sample

1st row121230
2nd row122-870
3rd row122-842
4th row122-920
5th row110110
ValueCountFrequency (%)
110390 64
 
2.9%
135080 50
 
2.3%
135120 43
 
2.0%
137070 39
 
1.8%
135010 39
 
1.8%
134030 32
 
1.5%
135280 32
 
1.5%
134020 30
 
1.4%
135090 29
 
1.3%
150093 26
 
1.2%
Other values (713) 1817
82.6%
2024-05-10T23:45:31.402246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 3357
25.3%
0 3100
23.4%
3 1877
14.2%
2 1070
 
8.1%
5 1066
 
8.0%
8 796
 
6.0%
4 633
 
4.8%
9 457
 
3.5%
7 446
 
3.4%
6 249
 
1.9%
Other values (5) 194
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13051
98.5%
Lowercase Letter 100
 
0.8%
Space Separator 55
 
0.4%
Dash Punctuation 39
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3357
25.7%
0 3100
23.8%
3 1877
14.4%
2 1070
 
8.2%
5 1066
 
8.2%
8 796
 
6.1%
4 633
 
4.9%
9 457
 
3.5%
7 446
 
3.4%
6 249
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
l 50
50.0%
n 25
25.0%
u 25
25.0%
Space Separator
ValueCountFrequency (%)
55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13145
99.2%
Latin 100
 
0.8%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3357
25.5%
0 3100
23.6%
3 1877
14.3%
2 1070
 
8.1%
5 1066
 
8.1%
8 796
 
6.1%
4 633
 
4.8%
9 457
 
3.5%
7 446
 
3.4%
6 249
 
1.9%
Other values (2) 94
 
0.7%
Latin
ValueCountFrequency (%)
l 50
50.0%
n 25
25.0%
u 25
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13245
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3357
25.3%
0 3100
23.4%
3 1877
14.2%
2 1070
 
8.1%
5 1066
 
8.0%
8 796
 
6.0%
4 633
 
4.8%
9 457
 
3.5%
7 446
 
3.4%
6 249
 
1.9%
Other values (5) 194
 
1.5%
Distinct8992
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size76.6 KiB
2024-05-10T23:45:32.203100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length47
Mean length23.166718
Min length13

Characters and Unicode

Total characters226640
Distinct characters560
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8338 ?
Unique (%)85.2%

Sample

1st row서울특별시 금천구 가산동 345-90 한라시그마밸리
2nd row서울특별시 도봉구 방학동 718-7
3rd row서울특별시 도봉구 쌍문동 423-24
4th row서울특별시 동작구 노량진동 123 삼익쇼핑상가204
5th row서울특별시 도봉구 쌍문동 723
ValueCountFrequency (%)
서울특별시 9783
 
21.7%
종로구 994
 
2.2%
강남구 972
 
2.2%
송파구 659
 
1.5%
강서구 587
 
1.3%
강동구 499
 
1.1%
서초구 429
 
1.0%
2층 427
 
0.9%
마포구 424
 
0.9%
노원구 414
 
0.9%
Other values (9455) 29880
66.3%
2024-05-10T23:45:33.346600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44069
19.4%
11469
 
5.1%
11387
 
5.0%
10486
 
4.6%
9947
 
4.4%
9821
 
4.3%
9796
 
4.3%
9783
 
4.3%
1 9426
 
4.2%
- 7904
 
3.5%
Other values (550) 92552
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 128048
56.5%
Decimal Number 45268
 
20.0%
Space Separator 44069
 
19.4%
Dash Punctuation 7904
 
3.5%
Uppercase Letter 450
 
0.2%
Other Punctuation 300
 
0.1%
Open Punctuation 257
 
0.1%
Close Punctuation 256
 
0.1%
Lowercase Letter 50
 
< 0.1%
Math Symbol 27
 
< 0.1%
Other values (2) 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
11469
 
9.0%
11387
 
8.9%
10486
 
8.2%
9947
 
7.8%
9821
 
7.7%
9796
 
7.7%
9783
 
7.6%
2415
 
1.9%
1773
 
1.4%
1637
 
1.3%
Other values (486) 49534
38.7%
Uppercase Letter
ValueCountFrequency (%)
B 64
14.2%
A 61
13.6%
C 36
 
8.0%
S 32
 
7.1%
K 27
 
6.0%
M 21
 
4.7%
D 20
 
4.4%
T 19
 
4.2%
I 19
 
4.2%
G 19
 
4.2%
Other values (15) 132
29.3%
Lowercase Letter
ValueCountFrequency (%)
e 11
22.0%
s 5
10.0%
a 4
 
8.0%
i 4
 
8.0%
v 4
 
8.0%
p 3
 
6.0%
r 3
 
6.0%
k 3
 
6.0%
c 3
 
6.0%
o 2
 
4.0%
Other values (5) 8
16.0%
Decimal Number
ValueCountFrequency (%)
1 9426
20.8%
2 6473
14.3%
3 5289
11.7%
4 4169
9.2%
5 3907
8.6%
0 3679
 
8.1%
6 3664
 
8.1%
7 3117
 
6.9%
8 2778
 
6.1%
9 2766
 
6.1%
Other Punctuation
ValueCountFrequency (%)
, 280
93.3%
. 8
 
2.7%
/ 6
 
2.0%
& 4
 
1.3%
@ 2
 
0.7%
Letter Number
ValueCountFrequency (%)
6
66.7%
2
 
22.2%
1
 
11.1%
Space Separator
ValueCountFrequency (%)
44069
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7904
100.0%
Open Punctuation
ValueCountFrequency (%)
( 257
100.0%
Close Punctuation
ValueCountFrequency (%)
) 256
100.0%
Math Symbol
ValueCountFrequency (%)
~ 27
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 128049
56.5%
Common 98081
43.3%
Latin 509
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
11469
 
9.0%
11387
 
8.9%
10486
 
8.2%
9947
 
7.8%
9821
 
7.7%
9796
 
7.7%
9783
 
7.6%
2415
 
1.9%
1773
 
1.4%
1637
 
1.3%
Other values (486) 49535
38.7%
Latin
ValueCountFrequency (%)
B 64
 
12.6%
A 61
 
12.0%
C 36
 
7.1%
S 32
 
6.3%
K 27
 
5.3%
M 21
 
4.1%
D 20
 
3.9%
T 19
 
3.7%
I 19
 
3.7%
G 19
 
3.7%
Other values (33) 191
37.5%
Common
ValueCountFrequency (%)
44069
44.9%
1 9426
 
9.6%
- 7904
 
8.1%
2 6473
 
6.6%
3 5289
 
5.4%
4 4169
 
4.3%
5 3907
 
4.0%
0 3679
 
3.8%
6 3664
 
3.7%
7 3117
 
3.2%
Other values (10) 6384
 
6.5%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 128047
56.5%
ASCII 98581
43.5%
Number Forms 9
 
< 0.1%
None 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
44069
44.7%
1 9426
 
9.6%
- 7904
 
8.0%
2 6473
 
6.6%
3 5289
 
5.4%
4 4169
 
4.2%
5 3907
 
4.0%
0 3679
 
3.7%
6 3664
 
3.7%
7 3117
 
3.2%
Other values (50) 6884
 
7.0%
Hangul
ValueCountFrequency (%)
11469
 
9.0%
11387
 
8.9%
10486
 
8.2%
9947
 
7.8%
9821
 
7.7%
9796
 
7.7%
9783
 
7.6%
2415
 
1.9%
1773
 
1.4%
1637
 
1.3%
Other values (485) 49533
38.7%
Number Forms
ValueCountFrequency (%)
6
66.7%
2
 
22.2%
1
 
11.1%
None
ValueCountFrequency (%)
2
100.0%
CJK
ValueCountFrequency (%)
1
100.0%

도로명주소
Text

MISSING 

Distinct7535
Distinct (%)96.3%
Missing1958
Missing (%)20.0%
Memory size76.6 KiB
2024-05-10T23:45:34.074501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length53
Mean length29.378786
Min length16

Characters and Unicode

Total characters229889
Distinct characters579
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7274 ?
Unique (%)93.0%

Sample

1st row서울특별시 금천구 가산디지털2로 53, 한라시그마밸리 1510호 (가산동)
2nd row서울특별시 도봉구 마들로 657 (방학동, 이에스에이아파트)
3rd row서울특별시 도봉구 삼양로 548 (쌍문동)
4th row서울특별시 강남구 압구정로 113, 26동 1102호(압구정동,미성아파트)
5th row서울특별시 도봉구 해등로 190 (쌍문동, 신원주상복합2차아파트)
ValueCountFrequency (%)
서울특별시 7825
 
17.5%
종로구 924
 
2.1%
강남구 887
 
2.0%
1층 772
 
1.7%
송파구 617
 
1.4%
강서구 517
 
1.2%
2층 363
 
0.8%
마포구 357
 
0.8%
성동구 330
 
0.7%
양천구 324
 
0.7%
Other values (6688) 31857
71.2%
2024-05-10T23:45:35.394460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39017
 
17.0%
9784
 
4.3%
9457
 
4.1%
8903
 
3.9%
8269
 
3.6%
8109
 
3.5%
( 7980
 
3.5%
) 7980
 
3.5%
7889
 
3.4%
7835
 
3.4%
Other values (569) 114666
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 135683
59.0%
Space Separator 39017
 
17.0%
Decimal Number 32901
 
14.3%
Open Punctuation 7980
 
3.5%
Close Punctuation 7980
 
3.5%
Other Punctuation 4867
 
2.1%
Dash Punctuation 870
 
0.4%
Uppercase Letter 495
 
0.2%
Lowercase Letter 53
 
< 0.1%
Math Symbol 30
 
< 0.1%
Other values (2) 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9784
 
7.2%
9457
 
7.0%
8903
 
6.6%
8269
 
6.1%
8109
 
6.0%
7889
 
5.8%
7835
 
5.8%
7825
 
5.8%
2707
 
2.0%
2512
 
1.9%
Other values (505) 62393
46.0%
Uppercase Letter
ValueCountFrequency (%)
B 97
19.6%
A 63
12.7%
C 45
 
9.1%
S 32
 
6.5%
M 24
 
4.8%
K 24
 
4.8%
G 22
 
4.4%
D 18
 
3.6%
I 18
 
3.6%
E 17
 
3.4%
Other values (15) 135
27.3%
Lowercase Letter
ValueCountFrequency (%)
e 10
18.9%
b 7
13.2%
a 5
9.4%
s 4
 
7.5%
c 4
 
7.5%
v 4
 
7.5%
r 3
 
5.7%
i 3
 
5.7%
p 3
 
5.7%
n 2
 
3.8%
Other values (5) 8
15.1%
Decimal Number
ValueCountFrequency (%)
1 7827
23.8%
2 5117
15.6%
3 3768
11.5%
0 2968
 
9.0%
4 2913
 
8.9%
5 2626
 
8.0%
6 2383
 
7.2%
7 1921
 
5.8%
8 1747
 
5.3%
9 1631
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 4848
99.6%
& 8
 
0.2%
. 8
 
0.2%
/ 2
 
< 0.1%
@ 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
6
60.0%
3
30.0%
1
 
10.0%
Space Separator
ValueCountFrequency (%)
39017
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7980
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7980
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 870
100.0%
Math Symbol
ValueCountFrequency (%)
~ 30
100.0%
Other Symbol
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 135685
59.0%
Common 93645
40.7%
Latin 558
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9784
 
7.2%
9457
 
7.0%
8903
 
6.6%
8269
 
6.1%
8109
 
6.0%
7889
 
5.8%
7835
 
5.8%
7825
 
5.8%
2707
 
2.0%
2512
 
1.9%
Other values (505) 62395
46.0%
Latin
ValueCountFrequency (%)
B 97
17.4%
A 63
 
11.3%
C 45
 
8.1%
S 32
 
5.7%
M 24
 
4.3%
K 24
 
4.3%
G 22
 
3.9%
D 18
 
3.2%
I 18
 
3.2%
E 17
 
3.0%
Other values (33) 198
35.5%
Common
ValueCountFrequency (%)
39017
41.7%
( 7980
 
8.5%
) 7980
 
8.5%
1 7827
 
8.4%
2 5117
 
5.5%
, 4848
 
5.2%
3 3768
 
4.0%
0 2968
 
3.2%
4 2913
 
3.1%
5 2626
 
2.8%
Other values (10) 8601
 
9.2%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 135681
59.0%
ASCII 94193
41.0%
Number Forms 10
 
< 0.1%
None 3
 
< 0.1%
Compat Jamo 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39017
41.4%
( 7980
 
8.5%
) 7980
 
8.5%
1 7827
 
8.3%
2 5117
 
5.4%
, 4848
 
5.1%
3 3768
 
4.0%
0 2968
 
3.2%
4 2913
 
3.1%
5 2626
 
2.8%
Other values (50) 9149
 
9.7%
Hangul
ValueCountFrequency (%)
9784
 
7.2%
9457
 
7.0%
8903
 
6.6%
8269
 
6.1%
8109
 
6.0%
7889
 
5.8%
7835
 
5.8%
7825
 
5.8%
2707
 
2.0%
2512
 
1.9%
Other values (503) 62391
46.0%
Number Forms
ValueCountFrequency (%)
6
60.0%
3
30.0%
1
 
10.0%
None
ValueCountFrequency (%)
3
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
CJK
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Text

MISSING 

Distinct2435
Distinct (%)55.3%
Missing5377
Missing (%)55.0%
Memory size76.6 KiB
2024-05-10T23:45:36.252835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3590558
Min length5

Characters and Unicode

Total characters23612
Distinct characters11
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

Unique1566 ?
Unique (%)35.5%

Sample

1st row08588
2nd row01332
3rd row01368
4th row135-785
5th row01394
ValueCountFrequency (%)
03138 86
 
2.0%
03139 44
 
1.0%
03134 43
 
1.0%
110390 37
 
0.8%
03128 26
 
0.6%
153813 19
 
0.4%
03136 18
 
0.4%
133120 18
 
0.4%
03137 16
 
0.4%
03129 15
 
0.3%
Other values (2425) 4084
92.7%
2024-05-10T23:45:37.721123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4894
20.7%
1 3574
15.1%
3 3194
13.5%
8 2557
10.8%
4 1718
 
7.3%
5 1689
 
7.2%
2 1646
 
7.0%
7 1644
 
7.0%
6 1485
 
6.3%
9 1093
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23494
99.5%
Dash Punctuation 118
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4894
20.8%
1 3574
15.2%
3 3194
13.6%
8 2557
10.9%
4 1718
 
7.3%
5 1689
 
7.2%
2 1646
 
7.0%
7 1644
 
7.0%
6 1485
 
6.3%
9 1093
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23612
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4894
20.7%
1 3574
15.1%
3 3194
13.5%
8 2557
10.8%
4 1718
 
7.3%
5 1689
 
7.2%
2 1646
 
7.0%
7 1644
 
7.0%
6 1485
 
6.3%
9 1093
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23612
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4894
20.7%
1 3574
15.1%
3 3194
13.5%
8 2557
10.8%
4 1718
 
7.3%
5 1689
 
7.2%
2 1646
 
7.0%
7 1644
 
7.0%
6 1485
 
6.3%
9 1093
 
4.6%
Distinct8323
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Memory size76.6 KiB
2024-05-10T23:45:38.515558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length25
Mean length7.2041296
Min length1

Characters and Unicode

Total characters70478
Distinct characters794
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7507 ?
Unique (%)76.7%

Sample

1st row(주)미리디
2nd row몸과맘편한의원
3rd row스포츠경마
4th row김영내과
5th row최병국내과의원
ValueCountFrequency (%)
주)희성양행 130
 
1.1%
안경원 127
 
1.1%
안경 83
 
0.7%
의원 75
 
0.6%
주식회사 64
 
0.6%
주)벤탈코리아 62
 
0.5%
으뜸50안경 57
 
0.5%
동물병원 48
 
0.4%
스튜디오 42
 
0.4%
칼라 33
 
0.3%
Other values (8513) 10840
93.8%
2024-05-10T23:45:39.858385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4130
 
5.9%
2877
 
4.1%
2167
 
3.1%
1902
 
2.7%
1806
 
2.6%
1782
 
2.5%
1592
 
2.3%
1568
 
2.2%
) 1378
 
2.0%
( 1371
 
1.9%
Other values (784) 49905
70.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 64322
91.3%
Space Separator 1782
 
2.5%
Close Punctuation 1378
 
2.0%
Open Punctuation 1371
 
1.9%
Uppercase Letter 676
 
1.0%
Decimal Number 547
 
0.8%
Lowercase Letter 211
 
0.3%
Other Punctuation 101
 
0.1%
Other Symbol 44
 
0.1%
Dash Punctuation 42
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4130
 
6.4%
2877
 
4.5%
2167
 
3.4%
1902
 
3.0%
1806
 
2.8%
1592
 
2.5%
1568
 
2.4%
1307
 
2.0%
1202
 
1.9%
1147
 
1.8%
Other values (709) 44624
69.4%
Uppercase Letter
ValueCountFrequency (%)
O 60
 
8.9%
S 50
 
7.4%
C 49
 
7.2%
D 44
 
6.5%
E 42
 
6.2%
A 39
 
5.8%
K 35
 
5.2%
T 33
 
4.9%
M 32
 
4.7%
L 29
 
4.3%
Other values (16) 263
38.9%
Lowercase Letter
ValueCountFrequency (%)
e 33
15.6%
o 22
10.4%
a 18
 
8.5%
r 16
 
7.6%
i 15
 
7.1%
t 13
 
6.2%
s 13
 
6.2%
n 12
 
5.7%
y 10
 
4.7%
k 9
 
4.3%
Other values (14) 50
23.7%
Decimal Number
ValueCountFrequency (%)
0 153
28.0%
5 111
20.3%
1 105
19.2%
2 75
13.7%
4 24
 
4.4%
3 22
 
4.0%
7 21
 
3.8%
9 16
 
2.9%
6 12
 
2.2%
8 8
 
1.5%
Other Punctuation
ValueCountFrequency (%)
. 52
51.5%
& 17
 
16.8%
, 15
 
14.9%
? 11
 
10.9%
/ 2
 
2.0%
: 2
 
2.0%
' 2
 
2.0%
Math Symbol
ValueCountFrequency (%)
+ 2
50.0%
> 1
25.0%
< 1
25.0%
Space Separator
ValueCountFrequency (%)
1782
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1378
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1371
100.0%
Other Symbol
ValueCountFrequency (%)
44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 64360
91.3%
Common 5225
 
7.4%
Latin 887
 
1.3%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4130
 
6.4%
2877
 
4.5%
2167
 
3.4%
1902
 
3.0%
1806
 
2.8%
1592
 
2.5%
1568
 
2.4%
1307
 
2.0%
1202
 
1.9%
1147
 
1.8%
Other values (704) 44662
69.4%
Latin
ValueCountFrequency (%)
O 60
 
6.8%
S 50
 
5.6%
C 49
 
5.5%
D 44
 
5.0%
E 42
 
4.7%
A 39
 
4.4%
K 35
 
3.9%
T 33
 
3.7%
e 33
 
3.7%
M 32
 
3.6%
Other values (40) 470
53.0%
Common
ValueCountFrequency (%)
1782
34.1%
) 1378
26.4%
( 1371
26.2%
0 153
 
2.9%
5 111
 
2.1%
1 105
 
2.0%
2 75
 
1.4%
. 52
 
1.0%
- 42
 
0.8%
4 24
 
0.5%
Other values (14) 132
 
2.5%
Han
ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 64316
91.3%
ASCII 6112
 
8.7%
None 44
 
0.1%
CJK 5
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
4130
 
6.4%
2877
 
4.5%
2167
 
3.4%
1902
 
3.0%
1806
 
2.8%
1592
 
2.5%
1568
 
2.4%
1307
 
2.0%
1202
 
1.9%
1147
 
1.8%
Other values (703) 44618
69.4%
ASCII
ValueCountFrequency (%)
1782
29.2%
) 1378
22.5%
( 1371
22.4%
0 153
 
2.5%
5 111
 
1.8%
1 105
 
1.7%
2 75
 
1.2%
O 60
 
1.0%
. 52
 
0.9%
S 50
 
0.8%
Other values (64) 975
16.0%
None
ValueCountFrequency (%)
44
100.0%
CJK
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%
Distinct9649
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size76.6 KiB
Minimum2000-09-07 15:34:31
Maximum2024-05-09 17:13:22
2024-05-10T23:45:40.452898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:45:41.192266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size76.6 KiB
I
8828 
U
955 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 8828
90.2%
U 955
 
9.8%

Length

2024-05-10T23:45:41.887322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:45:42.309378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 8828
90.2%
u 955
 
9.8%
Distinct481
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size76.6 KiB
Minimum2021-09-25 00:22:48
Maximum2023-12-05 00:09:00
2024-05-10T23:45:42.707084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:45:43.273112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Text

MISSING 

Distinct62
Distinct (%)3.3%
Missing7898
Missing (%)80.7%
Memory size76.6 KiB
2024-05-10T23:45:43.919569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length7.3416446
Min length2

Characters and Unicode

Total characters13839
Distinct characters126
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)1.2%

Sample

1st row자동차 종합 수리업
2nd row안경 및 렌즈 소매업
3rd row일반 의원
4th row자동차 종합 수리업
5th row기타 서비스업
ValueCountFrequency (%)
처리업 484
 
11.1%
의원 436
 
10.0%
357
 
8.2%
사진 348
 
8.0%
수리업 295
 
6.8%
자동차 292
 
6.7%
기타 257
 
5.9%
서비스업 249
 
5.7%
일반 219
 
5.0%
종합 181
 
4.2%
Other values (77) 1242
28.5%
2024-05-10T23:45:44.862162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2475
17.9%
1417
 
10.2%
784
 
5.7%
535
 
3.9%
526
 
3.8%
513
 
3.7%
485
 
3.5%
469
 
3.4%
358
 
2.6%
348
 
2.5%
Other values (116) 5929
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11356
82.1%
Space Separator 2475
 
17.9%
Other Punctuation 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1417
 
12.5%
784
 
6.9%
535
 
4.7%
526
 
4.6%
513
 
4.5%
485
 
4.3%
469
 
4.1%
358
 
3.2%
348
 
3.1%
307
 
2.7%
Other values (114) 5614
49.4%
Space Separator
ValueCountFrequency (%)
2475
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11356
82.1%
Common 2483
 
17.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1417
 
12.5%
784
 
6.9%
535
 
4.7%
526
 
4.6%
513
 
4.5%
485
 
4.3%
469
 
4.1%
358
 
3.2%
348
 
3.1%
307
 
2.7%
Other values (114) 5614
49.4%
Common
ValueCountFrequency (%)
2475
99.7%
, 8
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11356
82.1%
ASCII 2483
 
17.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2475
99.7%
, 8
 
0.3%
Hangul
ValueCountFrequency (%)
1417
 
12.5%
784
 
6.9%
535
 
4.7%
526
 
4.6%
513
 
4.5%
485
 
4.3%
469
 
4.1%
358
 
3.2%
348
 
3.1%
307
 
2.7%
Other values (114) 5614
49.4%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct7029
Distinct (%)77.6%
Missing728
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean199944.97
Minimum181881.23
Maximum215641.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.1 KiB
2024-05-10T23:45:45.264196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum181881.23
5-th percentile186778.19
Q1193550.4
median201396.08
Q3205386.63
95-th percentile211416.95
Maximum215641.49
Range33760.26
Interquartile range (IQR)11836.231

Descriptive statistics

Standard deviation7519.0625
Coefficient of variation (CV)0.03760566
Kurtosis-0.81749086
Mean199944.97
Median Absolute Deviation (MAD)5310.694
Skewness-0.2975046
Sum1.8105017 × 109
Variance56536300
MonotonicityNot monotonic
2024-05-10T23:45:45.744456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
199670.979884558 19
 
0.2%
199337.49154311 16
 
0.2%
208589.363343145 14
 
0.1%
205130.591678902 12
 
0.1%
199335.476497181 11
 
0.1%
199316.292376668 9
 
0.1%
199605.49511328 9
 
0.1%
199229.791865322 9
 
0.1%
199686.831190832 9
 
0.1%
205707.089399978 8
 
0.1%
Other values (7019) 8939
91.4%
(Missing) 728
 
7.4%
ValueCountFrequency (%)
181881.234660314 1
 
< 0.1%
182086.388313239 1
 
< 0.1%
182162.406429892 1
 
< 0.1%
182259.457769224 1
 
< 0.1%
182524.823835629 5
0.1%
182749.273937321 1
 
< 0.1%
182771.965027782 1
 
< 0.1%
182908.975451896 3
< 0.1%
182940.086694869 2
 
< 0.1%
182974.850127567 3
< 0.1%
ValueCountFrequency (%)
215641.494731111 1
 
< 0.1%
215426.028109 2
 
< 0.1%
215400.574803 1
 
< 0.1%
215379.100058 1
 
< 0.1%
215361.163713829 1
 
< 0.1%
215314.746342111 1
 
< 0.1%
215289.815449411 1
 
< 0.1%
215282.849907053 1
 
< 0.1%
215194.400879055 1
 
< 0.1%
215109.220020478 5
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct7030
Distinct (%)77.6%
Missing728
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean449613.57
Minimum437250.54
Maximum465291.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.1 KiB
2024-05-10T23:45:46.216688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum437250.54
5-th percentile441854.91
Q1445022.54
median449339.09
Q3452506.32
95-th percentile460916.26
Maximum465291.71
Range28041.175
Interquartile range (IQR)7483.7767

Descriptive statistics

Standard deviation5551.3602
Coefficient of variation (CV)0.012346959
Kurtosis-0.28057545
Mean449613.57
Median Absolute Deviation (MAD)3749.3674
Skewness0.48339221
Sum4.0712509 × 109
Variance30817600
MonotonicityNot monotonic
2024-05-10T23:45:46.770748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452221.775006084 19
 
0.2%
452217.269232692 16
 
0.2%
445455.90405262 14
 
0.1%
445590.096837802 12
 
0.1%
452053.317472257 11
 
0.1%
452588.063130721 9
 
0.1%
452321.56989452 9
 
0.1%
452197.540143506 9
 
0.1%
452422.012407453 9
 
0.1%
452353.103642099 8
 
0.1%
Other values (7020) 8939
91.4%
(Missing) 728
 
7.4%
ValueCountFrequency (%)
437250.535423089 1
< 0.1%
437658.296922182 1
< 0.1%
437686.335605306 1
< 0.1%
437689.38449215 1
< 0.1%
437717.289672145 1
< 0.1%
437777.824339474 1
< 0.1%
437915.621690013 2
< 0.1%
438132.261946483 1
< 0.1%
438197.526532777 1
< 0.1%
438365.613175801 1
< 0.1%
ValueCountFrequency (%)
465291.710893362 1
 
< 0.1%
465180.671733594 1
 
< 0.1%
464959.058464501 1
 
< 0.1%
464814.717432497 3
< 0.1%
464767.746320978 1
 
< 0.1%
464646.702578481 1
 
< 0.1%
464638.133327247 3
< 0.1%
464625.423162623 1
 
< 0.1%
464597.202705501 1
 
< 0.1%
464591.516973411 1
 
< 0.1%

환경업무구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size76.6 KiB
기타수질오염원관리
8718 
<NA>
1065 

Length

Max length9
Median length9
Mean length8.4556884
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타수질오염원관리 8718
89.1%
<NA> 1065
 
10.9%

Length

2024-05-10T23:45:47.235821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:45:47.645701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타수질오염원관리 8718
89.1%
na 1065
 
10.9%

업종구분명
Text

MISSING 

Distinct58
Distinct (%)3.2%
Missing7992
Missing (%)81.7%
Memory size76.6 KiB
2024-05-10T23:45:48.094354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length7.3015075
Min length2

Characters and Unicode

Total characters13077
Distinct characters122
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)1.3%

Sample

1st row기타 서비스업
2nd row자동차 종합 수리업
3rd row병원
4th row일반 의원
5th row귀금속 장신구 및 관련제품 제조업
ValueCountFrequency (%)
처리업 478
11.6%
의원 422
 
10.2%
사진 343
 
8.3%
342
 
8.3%
기타 256
 
6.2%
수리업 251
 
6.1%
서비스업 249
 
6.0%
자동차 248
 
6.0%
일반 212
 
5.1%
사진촬영 171
 
4.2%
Other values (74) 1147
27.8%
2024-05-10T23:45:49.264593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2328
17.8%
1340
 
10.2%
733
 
5.6%
526
 
4.0%
519
 
4.0%
496
 
3.8%
479
 
3.7%
453
 
3.5%
343
 
2.6%
301
 
2.3%
Other values (112) 5559
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10741
82.1%
Space Separator 2328
 
17.8%
Other Punctuation 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1340
 
12.5%
733
 
6.8%
526
 
4.9%
519
 
4.8%
496
 
4.6%
479
 
4.5%
453
 
4.2%
343
 
3.2%
301
 
2.8%
296
 
2.8%
Other values (110) 5255
48.9%
Space Separator
ValueCountFrequency (%)
2328
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10741
82.1%
Common 2336
 
17.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1340
 
12.5%
733
 
6.8%
526
 
4.9%
519
 
4.8%
496
 
4.6%
479
 
4.5%
453
 
4.2%
343
 
3.2%
301
 
2.8%
296
 
2.8%
Other values (110) 5255
48.9%
Common
ValueCountFrequency (%)
2328
99.7%
, 8
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10741
82.1%
ASCII 2336
 
17.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2328
99.7%
, 8
 
0.3%
Hangul
ValueCountFrequency (%)
1340
 
12.5%
733
 
6.8%
526
 
4.9%
519
 
4.8%
496
 
4.6%
479
 
4.5%
453
 
4.2%
343
 
3.2%
301
 
2.8%
296
 
2.8%
Other values (110) 5255
48.9%

종별명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9783
Missing (%)100.0%
Memory size86.1 KiB

주생산품명
Text

MISSING 

Distinct27
Distinct (%)52.9%
Missing9732
Missing (%)99.5%
Memory size76.6 KiB
2024-05-10T23:45:49.850437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.6078431
Min length1

Characters and Unicode

Total characters235
Distinct characters59
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)41.2%

Sample

1st row판금및도장
2nd row사진제판
3rd row섬유
4th row염색직물
5th rowPS판
ValueCountFrequency (%)
사진처리시설 15
27.3%
안경렌즈 5
 
9.1%
자동차도장 4
 
7.3%
도색 3
 
5.5%
환자진료 2
 
3.6%
귀금속 2
 
3.6%
자동차 2
 
3.6%
0 2
 
3.6%
안경 1
 
1.8%
사진제판 1
 
1.8%
Other values (18) 18
32.7%
2024-05-10T23:45:50.807625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19
 
8.1%
17
 
7.2%
16
 
6.8%
15
 
6.4%
15
 
6.4%
15
 
6.4%
13
 
5.5%
10
 
4.3%
8
 
3.4%
7
 
3.0%
Other values (49) 100
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 222
94.5%
Space Separator 4
 
1.7%
Lowercase Letter 3
 
1.3%
Uppercase Letter 3
 
1.3%
Decimal Number 2
 
0.9%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
19
 
8.6%
17
 
7.7%
16
 
7.2%
15
 
6.8%
15
 
6.8%
15
 
6.8%
13
 
5.9%
10
 
4.5%
8
 
3.6%
7
 
3.2%
Other values (40) 87
39.2%
Lowercase Letter
ValueCountFrequency (%)
r 1
33.3%
y 1
33.3%
a 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
X 1
33.3%
S 1
33.3%
P 1
33.3%
Space Separator
ValueCountFrequency (%)
4
100.0%
Decimal Number
ValueCountFrequency (%)
0 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 222
94.5%
Common 7
 
3.0%
Latin 6
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
19
 
8.6%
17
 
7.7%
16
 
7.2%
15
 
6.8%
15
 
6.8%
15
 
6.8%
13
 
5.9%
10
 
4.5%
8
 
3.6%
7
 
3.2%
Other values (40) 87
39.2%
Latin
ValueCountFrequency (%)
r 1
16.7%
y 1
16.7%
a 1
16.7%
X 1
16.7%
S 1
16.7%
P 1
16.7%
Common
ValueCountFrequency (%)
4
57.1%
0 2
28.6%
- 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 222
94.5%
ASCII 13
 
5.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
19
 
8.6%
17
 
7.7%
16
 
7.2%
15
 
6.8%
15
 
6.8%
15
 
6.8%
13
 
5.9%
10
 
4.5%
8
 
3.6%
7
 
3.2%
Other values (40) 87
39.2%
ASCII
ValueCountFrequency (%)
4
30.8%
0 2
15.4%
r 1
 
7.7%
y 1
 
7.7%
a 1
 
7.7%
- 1
 
7.7%
X 1
 
7.7%
S 1
 
7.7%
P 1
 
7.7%

배출시설조업시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9783
Missing (%)100.0%
Memory size86.1 KiB
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size76.6 KiB
<NA>
7525 
0
2258 

Length

Max length4
Median length4
Mean length3.3075744
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7525
76.9%
0 2258
 
23.1%

Length

2024-05-10T23:45:51.410078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:45:51.925423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7525
76.9%
0 2258
 
23.1%

방지시설조업시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9783
Missing (%)100.0%
Memory size86.1 KiB
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size76.6 KiB
<NA>
7525 
0
2258 

Length

Max length4
Median length4
Mean length3.3075744
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7525
76.9%
0 2258
 
23.1%

Length

2024-05-10T23:45:52.291832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:45:53.044196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7525
76.9%
0 2258
 
23.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
031700003170000252018000042018-09-27<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 345-90 한라시그마밸리서울특별시 금천구 가산디지털2로 53, 한라시그마밸리 1510호 (가산동)08588(주)미리디2023-02-28 11:05:41U2022-12-03 00:03:00.0<NA>189419.091887441207.655087<NA><NA><NA><NA><NA><NA><NA><NA>
130900003090000252006000062006-07-05<NA>1영업/정상11영업<NA><NA><NA><NA>0234934084<NA><NA>서울특별시 도봉구 방학동 718-7서울특별시 도봉구 마들로 657 (방학동, 이에스에이아파트)01332몸과맘편한의원2023-02-28 15:11:10U2022-12-03 00:03:00.0<NA>203946.218925462919.219463<NA><NA><NA><NA><NA><NA><NA><NA>
230900003090000252005000012005-01-12<NA>1영업/정상11영업<NA><NA><NA><NA>9950162<NA><NA>서울특별시 도봉구 쌍문동 423-24서울특별시 도봉구 삼양로 548 (쌍문동)01368스포츠경마2023-02-28 15:09:57U2022-12-03 00:03:00.0<NA>201067.062952461074.692107<NA><NA><NA><NA><NA><NA><NA><NA>
331900003190000252004000382004-07-26<NA>1영업/정상11영업<NA><NA><NA><NA>8058277<NA><NA>서울특별시 동작구 노량진동 123 삼익쇼핑상가204서울특별시 강남구 압구정로 113, 26동 1102호(압구정동,미성아파트)135-785김영내과2023-02-28 13:05:59U2022-12-03 00:03:00.0<NA>201543.962547446856.81468<NA><NA><NA><NA><NA><NA><NA><NA>
430900003090000252003001022002-09-06<NA>1영업/정상11영업<NA><NA><NA><NA>02902 6991<NA><NA>서울특별시 도봉구 쌍문동 723서울특별시 도봉구 해등로 190 (쌍문동, 신원주상복합2차아파트)01394최병국내과의원2023-02-28 15:09:28U2022-12-03 00:03:00.0<NA>203089.442774461770.488759<NA><NA><NA><NA><NA><NA><NA><NA>
530900003090000252003000481998-10-14<NA>1영업/정상11영업<NA><NA><NA><NA>029909614<NA><NA>서울특별시 도봉구 쌍문동 88-114서울특별시 도봉구 도봉로 477 (쌍문동, 이영수의원)01443이영수의원2023-02-28 15:08:58U2022-12-03 00:03:00.0<NA>202948.835576460673.229415<NA><NA><NA><NA><NA><NA><NA><NA>
630900003090000252003000381998-10-01<NA>1영업/정상11영업<NA><NA><NA><NA>029566886<NA><NA>서울특별시 도봉구 방학동 669서울특별시 도봉구 방학로 183 (방학동)01384유덕기내과2023-07-16 20:21:24U2022-12-06 23:08:00.0<NA>202764.917531462169.731322<NA><NA><NA><NA><NA><NA><NA><NA>
730900003090000252007000092007-12-28<NA>4취소/말소/만료/정지/중지4폐쇄2023-11-22<NA><NA><NA>023073393<NA><NA>서울특별시 도봉구 쌍문동 304서울특별시 도봉구 노해로41길 37 (쌍문동)01381사랑가득중앙의원2023-11-23 09:38:58U2022-10-31 22:05:00.0<NA>202165.632837460821.279015<NA><NA><NA><NA><NA><NA><NA><NA>
831600003160000252004000372004-10-15<NA>4취소/말소/만료/정지/중지4폐쇄2023-02-28<NA><NA><NA>028669201<NA><NA>서울특별시 구로구 구로동 730-14 이정 B/D 3층서울특별시 구로구 구로동로26길 37 (구로동)08311이지신경외과의원2023-03-03 11:13:08U2022-12-03 00:05:00.0<NA>189867.992034443127.6713<NA><NA><NA><NA><NA><NA><NA><NA>
931600003160000251998000591998-10-14<NA>4취소/말소/만료/정지/중지4폐쇄2023-02-28<NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 486-50서울특별시 구로구 구로동로 215-1 (구로동)152-858호산의원2023-03-03 10:46:57U2022-12-03 00:05:00.0<NA>189516.414056443966.637953<NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
9773320000032000002520060003420061227<NA>3폐업2폐업20230116<NA><NA><NA>8684486<NA><NA>서울특별시 관악구 신림동 1474-12서울특별시 관악구 남부순환로 1460 (신림동)<NA>김재욱내과인공신장실2023-01-20 17:37:32U2022-11-30 22:02:00.0<NA>192238.720921442119.131145<NA><NA><NA><NA><NA><NA><NA><NA>
9774315000031500002520030026820030213<NA>4취소/말소/만료/정지/중지4폐쇄20230118<NA><NA><NA>0226077585<NA><NA>서울특별시 강서구 화곡동 1159-1 우장산아이파크이편한세상아파트(상가308)서울특별시 강서구 강서로 254 (화곡동,우장산아이파크이편한세상아파트(상가308))<NA>대원정형외과2023-01-19 09:00:00U2022-11-30 22:02:00.0<NA>185509.755178449581.928503<NA><NA><NA><NA><NA><NA><NA><NA>
9775313000031300002519990005520051019<NA>1영업/정상11영업<NA><NA><NA><NA>37231787<NA><NA>서울특별시 마포구 성산동 590-4 KCC상암스튜디오380서울특별시 마포구 모래내로1길 20, KCC상암스튜디오380 (성산동)03938중앙자동차서비스2023-01-25 08:52:46U2022-11-30 22:07:00.0<NA>191385.671892451494.99344<NA><NA><NA><NA><NA><NA><NA><NA>
9776312000031200002519990008219991130<NA>4취소/말소/만료/정지/중지4폐쇄20230125<NA><NA><NA>023761957<NA><NA>서울특별시 서대문구 북가좌동 3-36서울특별시 서대문구 증가로20가길 89 (북가좌동)<NA>서울가정의원2023-01-25 16:32:52U2022-11-30 22:07:00.0<NA>192816.698806453349.935822<NA><NA><NA><NA><NA><NA><NA><NA>
9777319000031900002520230000120230126<NA>1영업/정상11영업<NA><NA><NA><NA>02-811-1191<NA><NA>서울특별시 동작구 상도동 323-4 상진빌딩 3002호서울특별시 동작구 국사봉1길 18, 상진빌딩 3002호 (상도동)07042으뜸플러스안경 신대방삼거리점2023-01-26 18:07:57I2022-11-30 22:08:00.0<NA>193712.63442444071.460917<NA><NA><NA><NA><NA><NA><NA><NA>
977830000003000000252023000012023-01-26<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 낙원동 144-1서울특별시 종로구 수표로 118-1, 3층 (낙원동)03139이엠쥬얼리2024-03-21 15:51:24U2023-12-02 22:03:00.0<NA>198979.900758452173.28417<NA><NA><NA><NA><NA><NA><NA><NA>
977932100003210000252007000042007-02-05<NA>1영업/정상11영업<NA><NA><NA><NA>02-3472-7301<NA><NA>서울특별시 서초구 서초동 1597-10 서초동BMW정비공장서울특별시 서초구 효령로53길 62, 서초동BMW정비공장 (서초동)06651코오롱모터스(주) 교대서비스팩토리2023-10-10 13:32:53U2022-10-30 23:02:00.0<NA>201108.852289442814.577185<NA><NA><NA><NA><NA><NA><NA><NA>
9780311000031100002520040001820040716<NA>4취소/말소/만료/정지/중지4폐쇄20230125<NA><NA><NA><NA><NA><NA>서울특별시 은평구 대조동<NA><NA>OK내과의원2023-01-26 09:03:48U2022-11-30 22:08:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9781318000031800002520050002820050509<NA>4취소/말소/만료/정지/중지4폐쇄20230127<NA><NA><NA>02 8451583<NA><NA>서울특별시 영등포구 신길동 363-5<NA><NA>임흥각내과의원2023-01-27 16:43:34U2022-11-30 22:09:00.0<NA>191257.192241444912.72758<NA><NA><NA><NA><NA><NA><NA><NA>
978231800003180000252000103012000-06-30<NA>1영업/정상11영업<NA><NA><NA><NA>2678-0105<NA><NA>서울특별시 영등포구 영등포동3가 8-1 성남빌딩 605호서울특별시 영등포구 영중로8길 6, 성남빌딩 (영등포동3가)07302원일한상룡내과의원2023-07-19 16:22:36U2022-12-06 22:01:00.0<NA>191650.262823446234.789726<NA><NA><NA><NA><NA><NA><NA><NA>