Overview

Dataset statistics

Number of variables27
Number of observations2710
Missing cells23413
Missing cells (%)32.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory595.6 KiB
Average record size in memory225.0 B

Variable types

Categorical7
Text7
DateTime7
Unsupported3
Numeric3

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),지정일자,민원종류명
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-19905/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 2463 (90.9%) missing valuesMissing
폐업일자 has 848 (31.3%) missing valuesMissing
휴업시작일자 has 2664 (98.3%) missing valuesMissing
휴업종료일자 has 2664 (98.3%) missing valuesMissing
재개업일자 has 2710 (100.0%) missing valuesMissing
전화번호 has 996 (36.8%) missing valuesMissing
소재지면적 has 2710 (100.0%) missing valuesMissing
소재지우편번호 has 1931 (71.3%) missing valuesMissing
도로명주소 has 663 (24.5%) missing valuesMissing
도로명우편번호 has 1722 (63.5%) missing valuesMissing
업태구분명 has 2710 (100.0%) missing valuesMissing
좌표정보(X) has 292 (10.8%) missing valuesMissing
좌표정보(Y) has 292 (10.8%) missing valuesMissing
지정일자 has 728 (26.9%) 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

Reproduction

Analysis started2024-04-06 10:17:20.444452
Analysis finished2024-04-06 10:17:22.119280
Duration1.67 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size21.3 KiB
3030000
2710 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3030000 2710
100.0%

Length

2024-04-06T19:17:22.222439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:17:22.398072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 2710
100.0%

관리번호
Text

UNIQUE 

Distinct2710
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size21.3 KiB
2024-04-06T19:17:22.687698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length18.999631
Min length18

Characters and Unicode

Total characters51489
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2710 ?
Unique (%)100.0%

Sample

1st row1981303007405600021
2nd row1982303010305600001
3rd row1982303010305600002
4th row1982303010305600003
5th row1985303010305600001
ValueCountFrequency (%)
1981303007405600021 1
 
< 0.1%
2011303010305600092 1
 
< 0.1%
2011303010305600085 1
 
< 0.1%
2012303010305600009 1
 
< 0.1%
2011303010305600086 1
 
< 0.1%
2011303010305600087 1
 
< 0.1%
2011303010305600088 1
 
< 0.1%
2011303010305600089 1
 
< 0.1%
2011303010305600090 1
 
< 0.1%
2011303010305600091 1
 
< 0.1%
Other values (2700) 2700
99.6%
2024-04-06T19:17:23.384690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 21879
42.5%
3 7053
 
13.7%
1 4443
 
8.6%
5 3526
 
6.8%
6 3525
 
6.8%
2 3252
 
6.3%
9 2660
 
5.2%
7 2051
 
4.0%
4 1898
 
3.7%
8 1201
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 51488
> 99.9%
Other Letter 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 21879
42.5%
3 7053
 
13.7%
1 4443
 
8.6%
5 3526
 
6.8%
6 3525
 
6.8%
2 3252
 
6.3%
9 2660
 
5.2%
7 2051
 
4.0%
4 1898
 
3.7%
8 1201
 
2.3%
Other Letter
ValueCountFrequency (%)
구 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 51488
> 99.9%
Hangul 1
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 21879
42.5%
3 7053
 
13.7%
1 4443
 
8.6%
5 3526
 
6.8%
6 3525
 
6.8%
2 3252
 
6.3%
9 2660
 
5.2%
7 2051
 
4.0%
4 1898
 
3.7%
8 1201
 
2.3%
Hangul
ValueCountFrequency (%)
구 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 51488
> 99.9%
Hangul 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 21879
42.5%
3 7053
 
13.7%
1 4443
 
8.6%
5 3526
 
6.8%
6 3525
 
6.8%
2 3252
 
6.3%
9 2660
 
5.2%
7 2051
 
4.0%
4 1898
 
3.7%
8 1201
 
2.3%
Hangul
ValueCountFrequency (%)
구 1
100.0%

인허가일자
Date

Distinct1819
Distinct (%)67.1%
Missing0
Missing (%)0.0%
Memory size21.3 KiB
Minimum1971-04-14 00:00:00
Maximum2024-03-27 00:00:00
2024-04-06T19:17:23.604639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:17:23.862954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct82
Distinct (%)33.2%
Missing2463
Missing (%)90.9%
Memory size21.3 KiB
Minimum2002-11-14 00:00:00
Maximum2024-02-27 00:00:00
2024-04-06T19:17:24.208974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:17:24.780809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태코드
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.3 KiB
3
1862 
1
598 
4
248 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 1862
68.7%
1 598
 
22.1%
4 248
 
9.2%
2 2
 
0.1%

Length

2024-04-06T19:17:25.035142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:17:25.218067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1862
68.7%
1 598
 
22.1%
4 248
 
9.2%
2 2
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.3 KiB
폐업
1862 
영업/정상
598 
취소/말소/만료/정지/중지
248 
휴업
 
2

Length

Max length14
Median length2
Mean length3.7601476
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1862
68.7%
영업/정상 598
 
22.1%
취소/말소/만료/정지/중지 248
 
9.2%
휴업 2
 
0.1%

Length

2024-04-06T19:17:25.490573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:17:25.680809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1862
68.7%
영업/정상 598
 
22.1%
취소/말소/만료/정지/중지 248
 
9.2%
휴업 2
 
0.1%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size21.3 KiB
2
1862 
0
598 
5
 
149
3
 
99
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 1862
68.7%
0 598
 
22.1%
5 149
 
5.5%
3 99
 
3.7%
1 2
 
0.1%

Length

2024-04-06T19:17:25.861331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:17:26.059840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1862
68.7%
0 598
 
22.1%
5 149
 
5.5%
3 99
 
3.7%
1 2
 
0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size21.3 KiB
폐업처리
1862 
정상영업
598 
지정취소
 
149
직권취소
 
99
휴업처리
 
2

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 1862
68.7%
정상영업 598
 
22.1%
지정취소 149
 
5.5%
직권취소 99
 
3.7%
휴업처리 2
 
0.1%

Length

2024-04-06T19:17:26.257025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:17:26.461045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 1862
68.7%
정상영업 598
 
22.1%
지정취소 149
 
5.5%
직권취소 99
 
3.7%
휴업처리 2
 
0.1%

폐업일자
Date

MISSING 

Distinct1504
Distinct (%)80.8%
Missing848
Missing (%)31.3%
Memory size21.3 KiB
Minimum1998-05-13 00:00:00
Maximum2024-03-19 00:00:00
2024-04-06T19:17:26.680611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:17:26.937202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct37
Distinct (%)80.4%
Missing2664
Missing (%)98.3%
Memory size21.3 KiB
Minimum2001-05-23 00:00:00
Maximum2022-05-31 00:00:00
2024-04-06T19:17:27.282609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:17:27.493529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

휴업종료일자
Date

MISSING 

Distinct38
Distinct (%)82.6%
Missing2664
Missing (%)98.3%
Memory size21.3 KiB
Minimum2001-06-24 00:00:00
Maximum2023-07-28 00:00:00
2024-04-06T19:17:27.711247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:17:27.984087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2710
Missing (%)100.0%
Memory size23.9 KiB

전화번호
Text

MISSING 

Distinct1608
Distinct (%)93.8%
Missing996
Missing (%)36.8%
Memory size21.3 KiB
2024-04-06T19:17:28.436877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length10.218786
Min length2

Characters and Unicode

Total characters17515
Distinct characters15
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

Unique1531 ?
Unique (%)89.3%

Sample

1st row4621447
2nd row2293-4132
3rd row02 4676478
4th row02 4698421
5th row0222936671
ValueCountFrequency (%)
02 601
 
22.6%
2292 21
 
0.8%
2293 19
 
0.7%
2297 17
 
0.6%
2295 16
 
0.6%
464 15
 
0.6%
2282 15
 
0.6%
2294 14
 
0.5%
465 13
 
0.5%
2281 12
 
0.5%
Other values (1665) 1920
72.1%
2024-04-06T19:17:29.099884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 4243
24.2%
0 2343
13.4%
9 1578
 
9.0%
4 1459
 
8.3%
6 1325
 
7.6%
1 1018
 
5.8%
5 987
 
5.6%
3 981
 
5.6%
954
 
5.4%
7 941
 
5.4%
Other values (5) 1686
 
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15799
90.2%
Space Separator 954
 
5.4%
Dash Punctuation 759
 
4.3%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 4243
26.9%
0 2343
14.8%
9 1578
 
10.0%
4 1459
 
9.2%
6 1325
 
8.4%
1 1018
 
6.4%
5 987
 
6.2%
3 981
 
6.2%
7 941
 
6.0%
8 924
 
5.8%
Space Separator
ValueCountFrequency (%)
954
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 759
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17515
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 4243
24.2%
0 2343
13.4%
9 1578
 
9.0%
4 1459
 
8.3%
6 1325
 
7.6%
1 1018
 
5.8%
5 987
 
5.6%
3 981
 
5.6%
954
 
5.4%
7 941
 
5.4%
Other values (5) 1686
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17515
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 4243
24.2%
0 2343
13.4%
9 1578
 
9.0%
4 1459
 
8.3%
6 1325
 
7.6%
1 1018
 
5.8%
5 987
 
5.6%
3 981
 
5.6%
954
 
5.4%
7 941
 
5.4%
Other values (5) 1686
 
9.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2710
Missing (%)100.0%
Memory size23.9 KiB

소재지우편번호
Text

MISSING 

Distinct133
Distinct (%)17.1%
Missing1931
Missing (%)71.3%
Memory size21.3 KiB
2024-04-06T19:17:29.527842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0282413
Min length6

Characters and Unicode

Total characters4696
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

Unique41 ?
Unique (%)5.3%

Sample

1st row133020
2nd row133020
3rd row133020
4th row133812
5th row133110
ValueCountFrequency (%)
133120 44
 
5.6%
133832 35
 
4.5%
133110 30
 
3.9%
133070 25
 
3.2%
133822 23
 
3.0%
133866 22
 
2.8%
133835 20
 
2.6%
133827 19
 
2.4%
133170 17
 
2.2%
133821 16
 
2.1%
Other values (123) 528
67.8%
2024-04-06T19:17:30.401664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1731
36.9%
1 1079
23.0%
8 600
 
12.8%
0 371
 
7.9%
2 300
 
6.4%
7 185
 
3.9%
5 123
 
2.6%
6 116
 
2.5%
4 96
 
2.0%
9 73
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4674
99.5%
Dash Punctuation 22
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1731
37.0%
1 1079
23.1%
8 600
 
12.8%
0 371
 
7.9%
2 300
 
6.4%
7 185
 
4.0%
5 123
 
2.6%
6 116
 
2.5%
4 96
 
2.1%
9 73
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4696
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1731
36.9%
1 1079
23.0%
8 600
 
12.8%
0 371
 
7.9%
2 300
 
6.4%
7 185
 
3.9%
5 123
 
2.6%
6 116
 
2.5%
4 96
 
2.0%
9 73
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4696
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1731
36.9%
1 1079
23.0%
8 600
 
12.8%
0 371
 
7.9%
2 300
 
6.4%
7 185
 
3.9%
5 123
 
2.6%
6 116
 
2.5%
4 96
 
2.0%
9 73
 
1.6%

지번주소
Text

Distinct2294
Distinct (%)85.3%
Missing20
Missing (%)0.7%
Memory size21.3 KiB
2024-04-06T19:17:31.063653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length48
Mean length26.120074
Min length16

Characters and Unicode

Total characters70263
Distinct characters331
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

Unique2001 ?
Unique (%)74.4%

Sample

1st row서울특별시 성동구 성수동2가 299번지 200호
2nd row서울특별시 성동구 하왕십리동 345번지 3호
3rd row서울특별시 성동구 하왕십리동 345번지 3호
4th row서울특별시 성동구 하왕십리동 291번지 12호
5th row서울특별시 성동구 성수동2가 19번지 12호
ValueCountFrequency (%)
서울특별시 2690
18.9%
성동구 2690
18.9%
성수동2가 475
 
3.3%
행당동 312
 
2.2%
성수동1가 309
 
2.2%
호 278
 
2.0%
1층 254
 
1.8%
용답동 211
 
1.5%
1호 204
 
1.4%
마장동 186
 
1.3%
Other values (1875) 6622
46.5%
2024-04-06T19:17:31.996495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13227
18.8%
동 5496
 
7.8%
성 3758
 
5.3%
1 3364
 
4.8%
호 2750
 
3.9%
서 2748
 
3.9%
울 2743
 
3.9%
구 2706
 
3.9%
시 2705
 
3.8%
별 2691
 
3.8%
Other values (321) 28075
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42136
60.0%
Decimal Number 14271
 
20.3%
Space Separator 13227
 
18.8%
Dash Punctuation 323
 
0.5%
Uppercase Letter 143
 
0.2%
Other Punctuation 57
 
0.1%
Open Punctuation 38
 
0.1%
Close Punctuation 38
 
0.1%
Lowercase Letter 23
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 5496
13.0%
성 3758
 
8.9%
호 2750
 
6.5%
서 2748
 
6.5%
울 2743
 
6.5%
구 2706
 
6.4%
시 2705
 
6.4%
별 2691
 
6.4%
특 2690
 
6.4%
지 2144
 
5.1%
Other values (273) 11705
27.8%
Uppercase Letter
ValueCountFrequency (%)
B 36
25.2%
A 16
11.2%
C 14
 
9.8%
T 14
 
9.8%
M 9
 
6.3%
I 8
 
5.6%
E 8
 
5.6%
K 7
 
4.9%
X 5
 
3.5%
G 5
 
3.5%
Other values (10) 21
14.7%
Decimal Number
ValueCountFrequency (%)
1 3364
23.6%
2 2476
17.3%
3 1506
10.6%
6 1123
 
7.9%
0 1102
 
7.7%
5 1091
 
7.6%
7 981
 
6.9%
4 941
 
6.6%
8 862
 
6.0%
9 825
 
5.8%
Lowercase Letter
ValueCountFrequency (%)
e 5
21.7%
o 5
21.7%
r 4
17.4%
w 3
13.0%
a 2
 
8.7%
p 1
 
4.3%
t 1
 
4.3%
m 1
 
4.3%
h 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 56
98.2%
@ 1
 
1.8%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅲ 1
33.3%
Space Separator
ValueCountFrequency (%)
13227
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 323
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42136
60.0%
Common 27958
39.8%
Latin 169
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 5496
13.0%
성 3758
 
8.9%
호 2750
 
6.5%
서 2748
 
6.5%
울 2743
 
6.5%
구 2706
 
6.4%
시 2705
 
6.4%
별 2691
 
6.4%
특 2690
 
6.4%
지 2144
 
5.1%
Other values (273) 11705
27.8%
Latin
ValueCountFrequency (%)
B 36
21.3%
A 16
 
9.5%
C 14
 
8.3%
T 14
 
8.3%
M 9
 
5.3%
I 8
 
4.7%
E 8
 
4.7%
K 7
 
4.1%
X 5
 
3.0%
G 5
 
3.0%
Other values (21) 47
27.8%
Common
ValueCountFrequency (%)
13227
47.3%
1 3364
 
12.0%
2 2476
 
8.9%
3 1506
 
5.4%
6 1123
 
4.0%
0 1102
 
3.9%
5 1091
 
3.9%
7 981
 
3.5%
4 941
 
3.4%
8 862
 
3.1%
Other values (7) 1285
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42136
60.0%
ASCII 28124
40.0%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13227
47.0%
1 3364
 
12.0%
2 2476
 
8.8%
3 1506
 
5.4%
6 1123
 
4.0%
0 1102
 
3.9%
5 1091
 
3.9%
7 981
 
3.5%
4 941
 
3.3%
8 862
 
3.1%
Other values (36) 1451
 
5.2%
Hangul
ValueCountFrequency (%)
동 5496
13.0%
성 3758
 
8.9%
호 2750
 
6.5%
서 2748
 
6.5%
울 2743
 
6.5%
구 2706
 
6.4%
시 2705
 
6.4%
별 2691
 
6.4%
특 2690
 
6.4%
지 2144
 
5.1%
Other values (273) 11705
27.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅲ 1
33.3%

도로명주소
Text

MISSING 

Distinct1630
Distinct (%)79.6%
Missing663
Missing (%)24.5%
Memory size21.3 KiB
2024-04-06T19:17:32.592777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length57
Mean length30.877382
Min length18

Characters and Unicode

Total characters63206
Distinct characters346
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

Unique1337 ?
Unique (%)65.3%

Sample

1st row서울특별시 성동구 아차산로7길 29 (성수동2가)
2nd row서울특별시 성동구 청계천로 448 (하왕십리동)
3rd row서울특별시 성동구 동일로 113 (성수동2가)
4th row서울특별시 성동구 광나루로 285 (송정동)
5th row서울특별시 성동구 연무장18길 12 (성수동2가)
ValueCountFrequency (%)
서울특별시 2047
 
17.0%
성동구 2036
 
16.9%
1층 460
 
3.8%
성수동2가 437
 
3.6%
성수동1가 278
 
2.3%
행당동 255
 
2.1%
왕십리로 186
 
1.5%
용답동 145
 
1.2%
마장동 114
 
0.9%
하왕십리동 91
 
0.8%
Other values (1438) 5973
49.7%
2024-04-06T19:17:33.589370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9989
 
15.8%
동 4410
 
7.0%
1 3264
 
5.2%
성 3207
 
5.1%
서 2249
 
3.6%
울 2153
 
3.4%
시 2102
 
3.3%
) 2070
 
3.3%
( 2069
 
3.3%
구 2051
 
3.2%
Other values (336) 29642
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37364
59.1%
Space Separator 9989
 
15.8%
Decimal Number 9752
 
15.4%
Close Punctuation 2070
 
3.3%
Open Punctuation 2069
 
3.3%
Other Punctuation 1341
 
2.1%
Dash Punctuation 336
 
0.5%
Uppercase Letter 229
 
0.4%
Lowercase Letter 27
 
< 0.1%
Math Symbol 23
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 4410
 
11.8%
성 3207
 
8.6%
서 2249
 
6.0%
울 2153
 
5.8%
시 2102
 
5.6%
구 2051
 
5.5%
별 2049
 
5.5%
특 2047
 
5.5%
로 1489
 
4.0%
가 1218
 
3.3%
Other values (282) 14389
38.5%
Uppercase Letter
ValueCountFrequency (%)
B 59
25.8%
A 27
11.8%
C 18
 
7.9%
T 18
 
7.9%
E 15
 
6.6%
I 11
 
4.8%
K 9
 
3.9%
M 8
 
3.5%
R 7
 
3.1%
X 7
 
3.1%
Other values (15) 50
21.8%
Decimal Number
ValueCountFrequency (%)
1 3264
33.5%
2 1772
18.2%
3 902
 
9.2%
0 887
 
9.1%
4 703
 
7.2%
5 486
 
5.0%
6 485
 
5.0%
7 465
 
4.8%
9 406
 
4.2%
8 382
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
e 6
22.2%
o 6
22.2%
r 5
18.5%
w 4
14.8%
a 1
 
3.7%
t 1
 
3.7%
m 1
 
3.7%
p 1
 
3.7%
h 1
 
3.7%
b 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 1340
99.9%
. 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
66.7%
Ⅲ 2
33.3%
Space Separator
ValueCountFrequency (%)
9989
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2070
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2069
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 336
100.0%
Math Symbol
ValueCountFrequency (%)
~ 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37364
59.1%
Common 25580
40.5%
Latin 262
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 4410
 
11.8%
성 3207
 
8.6%
서 2249
 
6.0%
울 2153
 
5.8%
시 2102
 
5.6%
구 2051
 
5.5%
별 2049
 
5.5%
특 2047
 
5.5%
로 1489
 
4.0%
가 1218
 
3.3%
Other values (282) 14389
38.5%
Latin
ValueCountFrequency (%)
B 59
22.5%
A 27
 
10.3%
C 18
 
6.9%
T 18
 
6.9%
E 15
 
5.7%
I 11
 
4.2%
K 9
 
3.4%
M 8
 
3.1%
R 7
 
2.7%
X 7
 
2.7%
Other values (27) 83
31.7%
Common
ValueCountFrequency (%)
9989
39.1%
1 3264
 
12.8%
) 2070
 
8.1%
( 2069
 
8.1%
2 1772
 
6.9%
, 1340
 
5.2%
3 902
 
3.5%
0 887
 
3.5%
4 703
 
2.7%
5 486
 
1.9%
Other values (7) 2098
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37364
59.1%
ASCII 25836
40.9%
Number Forms 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9989
38.7%
1 3264
 
12.6%
) 2070
 
8.0%
( 2069
 
8.0%
2 1772
 
6.9%
, 1340
 
5.2%
3 902
 
3.5%
0 887
 
3.4%
4 703
 
2.7%
5 486
 
1.9%
Other values (42) 2354
 
9.1%
Hangul
ValueCountFrequency (%)
동 4410
 
11.8%
성 3207
 
8.6%
서 2249
 
6.0%
울 2153
 
5.8%
시 2102
 
5.6%
구 2051
 
5.5%
별 2049
 
5.5%
특 2047
 
5.5%
로 1489
 
4.0%
가 1218
 
3.3%
Other values (282) 14389
38.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
66.7%
Ⅲ 2
33.3%

도로명우편번호
Text

MISSING 

Distinct208
Distinct (%)21.1%
Missing1722
Missing (%)63.5%
Memory size21.3 KiB
2024-04-06T19:17:34.157710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.388664
Min length5

Characters and Unicode

Total characters5324
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

Unique51 ?
Unique (%)5.2%

Sample

1st row133812
2nd row133832
3rd row133837
4th row133814
5th row133847
ValueCountFrequency (%)
133120 40
 
4.0%
04763 23
 
2.3%
04782 19
 
1.9%
04799 19
 
1.9%
04808 19
 
1.9%
04778 18
 
1.8%
04701 17
 
1.7%
04709 16
 
1.6%
04760 15
 
1.5%
133110 15
 
1.5%
Other values (198) 787
79.7%
2024-04-06T19:17:34.923787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 974
18.3%
3 928
17.4%
7 759
14.3%
4 753
14.1%
1 656
12.3%
8 516
9.7%
2 219
 
4.1%
9 175
 
3.3%
6 167
 
3.1%
5 163
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5310
99.7%
Dash Punctuation 14
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 974
18.3%
3 928
17.5%
7 759
14.3%
4 753
14.2%
1 656
12.4%
8 516
9.7%
2 219
 
4.1%
9 175
 
3.3%
6 167
 
3.1%
5 163
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5324
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 974
18.3%
3 928
17.4%
7 759
14.3%
4 753
14.1%
1 656
12.3%
8 516
9.7%
2 219
 
4.1%
9 175
 
3.3%
6 167
 
3.1%
5 163
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5324
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 974
18.3%
3 928
17.4%
7 759
14.3%
4 753
14.1%
1 656
12.3%
8 516
9.7%
2 219
 
4.1%
9 175
 
3.3%
6 167
 
3.1%
5 163
 
3.1%

사업장명
Text

Distinct2143
Distinct (%)79.1%
Missing0
Missing (%)0.0%
Memory size21.3 KiB
2024-04-06T19:17:35.390396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length6.8649446
Min length1

Characters and Unicode

Total characters18604
Distinct characters604
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

Unique1789 ?
Unique (%)66.0%

Sample

1st row새한약국
2nd row우일상회
3rd row우일상회
4th row우일상회
5th row담배가게
ValueCountFrequency (%)
씨유 132
 
3.8%
gs25 91
 
2.6%
이마트24 51
 
1.5%
세븐일레븐 47
 
1.3%
주)코리아세븐 31
 
0.9%
지에스25 22
 
0.6%
훼미리마트 19
 
0.5%
성수점 18
 
0.5%
미니스톱 18
 
0.5%
지에스(gs)25 15
 
0.4%
Other values (2156) 3058
87.3%
2024-04-06T19:17:36.081156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 804
 
4.3%
796
 
4.3%
마 494
 
2.7%
성 489
 
2.6%
트 463
 
2.5%
퍼 388
 
2.1%
슈 357
 
1.9%
리 337
 
1.8%
수 330
 
1.8%
스 321
 
1.7%
Other values (594) 13825
74.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15999
86.0%
Space Separator 796
 
4.3%
Decimal Number 668
 
3.6%
Uppercase Letter 588
 
3.2%
Open Punctuation 241
 
1.3%
Close Punctuation 241
 
1.3%
Lowercase Letter 47
 
0.3%
Other Punctuation 13
 
0.1%
Dash Punctuation 8
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 804
 
5.0%
마 494
 
3.1%
성 489
 
3.1%
트 463
 
2.9%
퍼 388
 
2.4%
슈 357
 
2.2%
리 337
 
2.1%
수 330
 
2.1%
스 321
 
2.0%
식 296
 
1.9%
Other values (532) 11720
73.3%
Uppercase Letter
ValueCountFrequency (%)
S 193
32.8%
G 186
31.6%
C 44
 
7.5%
U 32
 
5.4%
T 15
 
2.6%
A 15
 
2.6%
I 15
 
2.6%
R 14
 
2.4%
K 14
 
2.4%
L 13
 
2.2%
Other values (14) 47
 
8.0%
Lowercase Letter
ValueCountFrequency (%)
e 11
23.4%
m 5
10.6%
r 4
 
8.5%
o 3
 
6.4%
f 3
 
6.4%
l 3
 
6.4%
t 2
 
4.3%
v 2
 
4.3%
i 2
 
4.3%
s 2
 
4.3%
Other values (8) 10
21.3%
Decimal Number
ValueCountFrequency (%)
2 318
47.6%
5 224
33.5%
4 69
 
10.3%
1 25
 
3.7%
7 11
 
1.6%
3 9
 
1.3%
8 8
 
1.2%
6 2
 
0.3%
0 2
 
0.3%
Other Punctuation
ValueCountFrequency (%)
. 5
38.5%
& 4
30.8%
: 2
 
15.4%
? 1
 
7.7%
/ 1
 
7.7%
Space Separator
ValueCountFrequency (%)
796
100.0%
Open Punctuation
ValueCountFrequency (%)
( 241
100.0%
Close Punctuation
ValueCountFrequency (%)
) 241
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16000
86.0%
Common 1969
 
10.6%
Latin 635
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 804
 
5.0%
마 494
 
3.1%
성 489
 
3.1%
트 463
 
2.9%
퍼 388
 
2.4%
슈 357
 
2.2%
리 337
 
2.1%
수 330
 
2.1%
스 321
 
2.0%
식 296
 
1.8%
Other values (533) 11721
73.3%
Latin
ValueCountFrequency (%)
S 193
30.4%
G 186
29.3%
C 44
 
6.9%
U 32
 
5.0%
T 15
 
2.4%
A 15
 
2.4%
I 15
 
2.4%
R 14
 
2.2%
K 14
 
2.2%
L 13
 
2.0%
Other values (32) 94
14.8%
Common
ValueCountFrequency (%)
796
40.4%
2 318
 
16.2%
( 241
 
12.2%
) 241
 
12.2%
5 224
 
11.4%
4 69
 
3.5%
1 25
 
1.3%
7 11
 
0.6%
3 9
 
0.5%
- 8
 
0.4%
Other values (9) 27
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15999
86.0%
ASCII 2604
 
14.0%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 804
 
5.0%
마 494
 
3.1%
성 489
 
3.1%
트 463
 
2.9%
퍼 388
 
2.4%
슈 357
 
2.2%
리 337
 
2.1%
수 330
 
2.1%
스 321
 
2.0%
식 296
 
1.9%
Other values (532) 11720
73.3%
ASCII
ValueCountFrequency (%)
796
30.6%
2 318
 
12.2%
( 241
 
9.3%
) 241
 
9.3%
5 224
 
8.6%
S 193
 
7.4%
G 186
 
7.1%
4 69
 
2.6%
C 44
 
1.7%
U 32
 
1.2%
Other values (51) 260
 
10.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

Distinct2242
Distinct (%)82.7%
Missing0
Missing (%)0.0%
Memory size21.3 KiB
Minimum2007-07-16 16:56:53
Maximum2024-04-04 17:09:52
2024-04-06T19:17:36.308724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:17:36.523166image/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 size21.3 KiB
I
2196 
U
514 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 2196
81.0%
U 514
 
19.0%

Length

2024-04-06T19:17:36.741546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:17:37.003461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2196
81.0%
u 514
 
19.0%

데이터갱신일자
Date

Distinct503
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Memory size21.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-06T19:17:37.182112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:17:37.405781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2710
Missing (%)100.0%
Memory size23.9 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1176
Distinct (%)48.6%
Missing292
Missing (%)10.8%
Infinite0
Infinite (%)0.0%
Mean203708.03
Minimum200812.99
Maximum206392.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.9 KiB
2024-04-06T19:17:37.682344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200812.99
5-th percentile201538.06
Q1202729.73
median203771.69
Q3204726.71
95-th percentile205723.77
Maximum206392.92
Range5579.9286
Interquartile range (IQR)1996.9753

Descriptive statistics

Standard deviation1275.6949
Coefficient of variation (CV)0.0062623694
Kurtosis-0.80841612
Mean203708.03
Median Absolute Deviation (MAD)972.24259
Skewness-0.16431064
Sum4.9256601 × 108
Variance1627397.5
MonotonicityNot monotonic
2024-04-06T19:17:37.920149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
203684.127182478 27
 
1.0%
202326.503044305 16
 
0.6%
203017.021457357 14
 
0.5%
205784.868811814 14
 
0.5%
203311.645927 13
 
0.5%
203292.151898869 13
 
0.5%
203321.562330114 11
 
0.4%
204108.263654233 11
 
0.4%
204614.272744322 10
 
0.4%
202326.470897024 10
 
0.4%
Other values (1166) 2279
84.1%
(Missing) 292
 
10.8%
ValueCountFrequency (%)
200812.992681398 2
 
0.1%
200886.870660767 1
 
< 0.1%
200896.532906303 4
0.1%
200913.361072125 2
 
0.1%
200946.128471 1
 
< 0.1%
200951.206580662 6
0.2%
200967.537033206 3
0.1%
200975.906541768 2
 
0.1%
200981.425 1
 
< 0.1%
200992.431390651 2
 
0.1%
ValueCountFrequency (%)
206392.92125763 1
 
< 0.1%
206390.482595211 1
 
< 0.1%
206301.373450257 1
 
< 0.1%
206299.734441078 1
 
< 0.1%
206274.222135317 3
0.1%
206267.144320265 4
0.1%
206218.406025234 2
0.1%
206209.280864162 3
0.1%
206203.256423765 2
0.1%
206119.716381366 1
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1176
Distinct (%)48.6%
Missing292
Missing (%)10.8%
Infinite0
Infinite (%)0.0%
Mean450090.24
Minimum448058.89
Maximum452148.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.9 KiB
2024-04-06T19:17:38.152207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448058.89
5-th percentile448426.66
Q1449237.47
median449900.89
Q3451019.08
95-th percentile451756.14
Maximum452148.34
Range4089.4444
Interquartile range (IQR)1781.6148

Descriptive statistics

Standard deviation1065.2021
Coefficient of variation (CV)0.0023666412
Kurtosis-1.2085634
Mean450090.24
Median Absolute Deviation (MAD)920.07054
Skewness0.057525278
Sum1.0883182 × 109
Variance1134655.5
MonotonicityNot monotonic
2024-04-06T19:17:38.409141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450698.570810848 32
 
1.2%
450625.58422744 16
 
0.6%
451346.281102634 14
 
0.5%
450883.524006222 14
 
0.5%
451309.048112 13
 
0.5%
451267.730901002 13
 
0.5%
451001.868687869 11
 
0.4%
450598.470063263 11
 
0.4%
448607.441251647 10
 
0.4%
449954.683065141 10
 
0.4%
Other values (1166) 2274
83.9%
(Missing) 292
 
10.8%
ValueCountFrequency (%)
448058.89494688 2
 
0.1%
448087.759178142 4
0.1%
448123.529679391 1
 
< 0.1%
448152.667195649 1
 
< 0.1%
448175.694252303 3
0.1%
448178.209240365 1
 
< 0.1%
448179.869576203 6
0.2%
448228.610508055 3
0.1%
448229.126737125 2
 
0.1%
448236.062687126 1
 
< 0.1%
ValueCountFrequency (%)
452148.339373773 3
0.1%
452143.575372109 1
 
< 0.1%
452109.906722229 2
 
0.1%
452108.522149464 5
0.2%
452098.622697627 2
 
0.1%
452092.840534158 1
 
< 0.1%
452078.470105803 1
 
< 0.1%
452041.559037331 1
 
< 0.1%
452035.039804075 1
 
< 0.1%
452032.253768878 2
 
0.1%

지정일자
Real number (ℝ)

MISSING 

Distinct1426
Distinct (%)71.9%
Missing728
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean20080648
Minimum19740605
Maximum20220315
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.9 KiB
2024-04-06T19:17:39.027550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19740605
5-th percentile19980112
Q120021205
median20081116
Q320140714
95-th percentile20190822
Maximum20220315
Range479710
Interquartile range (IQR)119508.75

Descriptive statistics

Standard deviation75685.802
Coefficient of variation (CV)0.0037690916
Kurtosis0.14707084
Mean20080648
Median Absolute Deviation (MAD)59697.5
Skewness-0.44711681
Sum3.9799845 × 1010
Variance5.7283407 × 109
MonotonicityNot monotonic
2024-04-06T19:17:39.327887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19990304 31
 
1.1%
19981222 13
 
0.5%
19981212 9
 
0.3%
19981216 9
 
0.3%
19981211 7
 
0.3%
19981223 7
 
0.3%
19981130 7
 
0.3%
20170210 6
 
0.2%
19981218 6
 
0.2%
20080918 6
 
0.2%
Other values (1416) 1881
69.4%
(Missing) 728
 
26.9%
ValueCountFrequency (%)
19740605 1
 
< 0.1%
19751029 1
 
< 0.1%
19790202 1
 
< 0.1%
19790630 1
 
< 0.1%
19801222 1
 
< 0.1%
19810520 1
 
< 0.1%
19820211 1
 
< 0.1%
19821117 3
0.1%
19830111 1
 
< 0.1%
19831020 1
 
< 0.1%
ValueCountFrequency (%)
20220315 1
 
< 0.1%
20220209 1
 
< 0.1%
20220112 1
 
< 0.1%
20220110 1
 
< 0.1%
20211227 1
 
< 0.1%
20211214 1
 
< 0.1%
20211116 1
 
< 0.1%
20211103 1
 
< 0.1%
20211025 1
 
< 0.1%
20211021 3
0.1%

민원종류명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.3 KiB
2009년11월법개정전자료
1073 
제7조의3제2항에따른경우
734 
<NA>
728 
제7조의3제3항에따른경우
175 

Length

Max length14
Median length13
Mean length10.978229
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2009년11월법개정전자료
2nd row2009년11월법개정전자료
3rd row2009년11월법개정전자료
4th row2009년11월법개정전자료
5th row<NA>

Common Values

ValueCountFrequency (%)
2009년11월법개정전자료 1073
39.6%
제7조의3제2항에따른경우 734
27.1%
<NA> 728
26.9%
제7조의3제3항에따른경우 175
 
6.5%

Length

2024-04-06T19:17:39.616634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:17:39.772806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2009년11월법개정전자료 1073
39.6%
제7조의3제2항에따른경우 734
27.1%
na 728
26.9%
제7조의3제3항에따른경우 175
 
6.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)지정일자민원종류명
03030000198130300740560002119810520<NA>3폐업2폐업처리20161028<NA><NA><NA>4621447<NA><NA>서울특별시 성동구 성수동2가 299번지 200호서울특별시 성동구 아차산로7길 29 (성수동2가)<NA>새한약국2016-10-28 13:56:41I2018-08-31 23:59:59.0<NA>204802.374891449515.862984198105202009년11월법개정전자료
13030000198230301030560000119821117<NA>3폐업2폐업처리20080325<NA><NA><NA><NA><NA>133020서울특별시 성동구 하왕십리동 345번지 3호<NA><NA>우일상회2008-03-25 15:01:03I2018-08-31 23:59:59.0<NA><NA><NA>198211172009년11월법개정전자료
23030000198230301030560000219821117<NA>3폐업2폐업처리20080330<NA><NA><NA>2293-4132<NA>133020서울특별시 성동구 하왕십리동 345번지 3호<NA><NA>우일상회2008-07-16 11:25:57I2018-08-31 23:59:59.0<NA><NA><NA>198211172009년11월법개정전자료
33030000198230301030560000319821117<NA>3폐업2폐업처리20080330<NA><NA><NA><NA><NA>133020서울특별시 성동구 하왕십리동 291번지 12호서울특별시 성동구 청계천로 448 (하왕십리동)<NA>우일상회2008-07-16 11:26:36I2018-08-31 23:59:59.0<NA>202289.903784452002.074206198211172009년11월법개정전자료
43030000198530301030560000119851023<NA>3폐업2폐업처리20070709<NA><NA><NA>02 4676478<NA><NA>서울특별시 성동구 성수동2가 19번지 12호서울특별시 성동구 동일로 113 (성수동2가)<NA>담배가게2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA>205581.849919448943.147826<NA><NA>
53030000198930300740560001519981222201804034취소/말소/만료/정지/중지5지정취소<NA><NA><NA><NA>02 4698421<NA><NA>서울특별시 성동구 송정동 67번지 31호서울특별시 성동구 광나루로 285 (송정동)<NA>금강슈퍼2018-04-03 17:10:05I2018-08-31 23:59:59.0<NA>205349.310478449569.805748199812222009년11월법개정전자료
63030000198930300740560004519981020<NA>3폐업2폐업처리20030506<NA><NA><NA>0222936671<NA><NA>서울특별시 성동구 하왕십리동 620번지 2호<NA><NA>영광슈퍼2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA>202301.198602451625.347923<NA><NA>
73030000198930300740560005319981204<NA>1영업/정상0정상영업<NA><NA><NA><NA>02 4645080<NA><NA>서울특별시 성동구 성수동2가 269번지 179호서울특별시 성동구 연무장18길 12 (성수동2가)<NA>이마트24 성수이로점2018-03-22 10:51:02I2018-08-31 23:59:59.0<NA>205377.585002448607.878084199812042009년11월법개정전자료
83030000198930300740560006319981223<NA>3폐업2폐업처리20040531<NA><NA><NA><NA><NA><NA>서울특별시 성동구 금호동3가 1206호서울특별시 성동구 금호산10길 12 (금호동3가)<NA>금호알들슈퍼2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA>201738.374522449879.805241<NA><NA>
93030000198930300740560007319981218200505274취소/말소/만료/정지/중지5지정취소<NA><NA><NA><NA>02 4689941<NA><NA>서울특별시 성동구 성수동2가 271번지 19호서울특별시 성동구 연무장길 84 (성수동2가)<NA>민선식품2021-06-29 15:58:45U2021-07-01 02:40:00.0<NA>205101.343632448790.914977199812182009년11월법개정전자료
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)지정일자민원종류명
2700303000020233030091056000302023-11-06<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 하왕십리동 1000-419서울특별시 성동구 난계로 97-2, 1층 (하왕십리동)04721씨유 왕십리현대점2023-11-06 13:39:54I2022-11-01 00:08:00.0<NA>202015.912656450939.20104<NA><NA>
2701303000020233030091056000312023-11-30<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 사근동 165서울특별시 성동구 사근동8길 12, 1층 (사근동)04762씨유 한양대사근점2023-12-19 09:23:34U2022-11-01 22:01:00.0<NA>204052.346662450873.062398<NA><NA>
2702303000020233030091056000322023-12-07<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동2가 235-1서울특별시 성동구 동일로 41, 1층 (성수동2가)04777그레이덕2023-12-07 14:51:25I2022-11-02 00:09:00.0<NA>205297.673132448310.561851<NA><NA>
2703303000020233030091056000332023-12-19<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 행당동 227-1서울특별시 성동구 왕십리로 284, 1층 (행당동)04751씨유 행당삼부소원점2023-12-19 14:01:01I2022-11-01 22:01:00.0<NA>203194.269628450837.622653<NA><NA>
2704303000020243030091056000012024-01-19<NA>1영업/정상0정상영업<NA><NA><NA><NA>02-2292-8992<NA><NA>서울특별시 성동구 홍익동 105서울특별시 성동구 마장로 201-1, 1층 (홍익동)04706대성슈퍼2024-01-22 10:17:11I2023-11-30 22:04:00.0<NA>202785.481606451602.228766<NA><NA>
2705303000020243030091056000022024-02-05<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 하왕십리동 989 하왕슈퍼마켓서울특별시 성동구 무학봉15길 17, 하왕슈퍼마켓 1층 (하왕십리동)04710하왕슈퍼2024-02-05 16:51:50I2023-12-02 00:07:00.0<NA>202636.514135451155.133337<NA><NA>
2706303000020243030091056000042024-02-14<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 용답동 41-1서울특별시 성동구 용답19길 6-1, 1층 (용답동)04805씨유 용답역점2024-02-14 14:24:45I2023-12-01 23:06:00.0<NA>204514.292718451168.913245<NA><NA>
2707303000020243030091056000052024-03-14<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동2가 308-4 서울숲코오롱디지털타워서울특별시 성동구 성수일로4길 25, 서울숲코오롱디지털타워 1층 110호 (성수동2가)04781(주)코리아세븐디지털타워점2024-03-14 14:44:50I2023-12-02 23:06:00.0<NA>204522.096092448925.421927<NA><NA>
2708303000020243030091056000062024-03-20<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동1가 668-102서울특별시 성동구 서울숲4길 15-1, 지하1층 (성수동1가)04768주식회사 알리스타종사2024-03-20 14:12:49I2023-12-02 22:02:00.0<NA>203699.658497449469.979905<NA><NA>
2709303000020243030091056000072024-03-27<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 용답동 235-4서울특별시 성동구 천호대로 438, 1층 101호 (용답동)04808아이지앤컴퍼니 주식회사2024-03-27 12:58:02I2023-12-02 22:09:00.0<NA>205895.022956450936.729727<NA><NA>