Overview

Dataset statistics

Number of variables44
Number of observations10000
Missing cells90415
Missing cells (%)20.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.7 MiB
Average record size in memory383.0 B

Variable types

Categorical20
Text7
DateTime4
Unsupported6
Numeric6
Boolean1

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),위생업태명,남성종사자수,여성종사자수,영업장주변구분명,등급구분명,급수시설구분명,총인원,본사종업원수,공장사무직종업원수,공장판매직종업원수,공장생산직종업원수,건물소유구분명,보증액,월세액,다중이용업소여부,시설총규모,전통업소지정번호,전통업소주된음식,홈페이지
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-18668/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
급수시설구분명 is highly imbalanced (61.7%)Imbalance
총인원 is highly imbalanced (78.2%)Imbalance
본사종업원수 is highly imbalanced (78.1%)Imbalance
공장사무직종업원수 is highly imbalanced (78.1%)Imbalance
공장판매직종업원수 is highly imbalanced (78.1%)Imbalance
공장생산직종업원수 is highly imbalanced (78.1%)Imbalance
보증액 is highly imbalanced (78.1%)Imbalance
월세액 is highly imbalanced (78.1%)Imbalance
다중이용업소여부 is highly imbalanced (93.2%)Imbalance
전통업소지정번호 is highly imbalanced (97.2%)Imbalance
전통업소주된음식 is highly imbalanced (96.5%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 2147 (21.5%) missing valuesMissing
휴업시작일자 has 10000 (100.0%) missing valuesMissing
휴업종료일자 has 10000 (100.0%) missing valuesMissing
재개업일자 has 10000 (100.0%) missing valuesMissing
전화번호 has 3790 (37.9%) missing valuesMissing
소재지면적 has 263 (2.6%) missing valuesMissing
도로명주소 has 5576 (55.8%) missing valuesMissing
도로명우편번호 has 5600 (56.0%) missing valuesMissing
좌표정보(X) has 398 (4.0%) missing valuesMissing
좌표정보(Y) has 398 (4.0%) missing valuesMissing
남성종사자수 has 4615 (46.2%) missing valuesMissing
여성종사자수 has 4587 (45.9%) missing valuesMissing
건물소유구분명 has 10000 (100.0%) missing valuesMissing
다중이용업소여부 has 1516 (15.2%) missing valuesMissing
시설총규모 has 1516 (15.2%) missing valuesMissing
홈페이지 has 10000 (100.0%) missing valuesMissing
남성종사자수 is highly skewed (γ1 = 46.7390031)Skewed
여성종사자수 is highly skewed (γ1 = 34.1341968)Skewed
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 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
건물소유구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
남성종사자수 has 3768 (37.7%) zerosZeros
여성종사자수 has 2986 (29.9%) zerosZeros
시설총규모 has 278 (2.8%) zerosZeros

Reproduction

Analysis started2024-05-11 06:55:06.516495
Analysis finished2024-05-11 06:55:10.992112
Duration4.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3160000
10000 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3160000
2nd row3160000
3rd row3160000
4th row3160000
5th row3160000

Common Values

ValueCountFrequency (%)
3160000 10000
100.0%

Length

2024-05-11T15:55:11.098780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:55:11.225454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 10000
100.0%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T15:55:11.482369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters220000
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

Unique10000 ?
Unique (%)100.0%

Sample

1st row3160000-101-1999-07558
2nd row3160000-101-2004-00286
3rd row3160000-101-1991-03422
4th row3160000-101-2001-09353
5th row3160000-101-2005-00056
ValueCountFrequency (%)
3160000-101-1999-07558 1
 
< 0.1%
3160000-101-1993-05122 1
 
< 0.1%
3160000-101-2011-00369 1
 
< 0.1%
3160000-101-2012-00363 1
 
< 0.1%
3160000-101-2023-00174 1
 
< 0.1%
3160000-101-2000-08576 1
 
< 0.1%
3160000-101-1999-07418 1
 
< 0.1%
3160000-101-2004-00019 1
 
< 0.1%
3160000-101-1994-03858 1
 
< 0.1%
3160000-101-2003-00577 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-05-11T15:55:12.073648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 79998
36.4%
1 41377
18.8%
- 30000
 
13.6%
3 15294
 
7.0%
6 13453
 
6.1%
2 12504
 
5.7%
9 9999
 
4.5%
8 4869
 
2.2%
4 4742
 
2.2%
5 4003
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 190000
86.4%
Dash Punctuation 30000
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 79998
42.1%
1 41377
21.8%
3 15294
 
8.0%
6 13453
 
7.1%
2 12504
 
6.6%
9 9999
 
5.3%
8 4869
 
2.6%
4 4742
 
2.5%
5 4003
 
2.1%
7 3761
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 79998
36.4%
1 41377
18.8%
- 30000
 
13.6%
3 15294
 
7.0%
6 13453
 
6.1%
2 12504
 
5.7%
9 9999
 
4.5%
8 4869
 
2.2%
4 4742
 
2.2%
5 4003
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 79998
36.4%
1 41377
18.8%
- 30000
 
13.6%
3 15294
 
7.0%
6 13453
 
6.1%
2 12504
 
5.7%
9 9999
 
4.5%
8 4869
 
2.2%
4 4742
 
2.2%
5 4003
 
1.8%
Distinct6199
Distinct (%)62.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1969-10-09 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T15:55:12.295871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:55:12.524791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
7853 
1
2147 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 7853
78.5%
1 2147
 
21.5%

Length

2024-05-11T15:55:12.751546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:55:12.888930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 7853
78.5%
1 2147
 
21.5%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
7853 
영업/정상
2147 

Length

Max length5
Median length2
Mean length2.6441
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 7853
78.5%
영업/정상 2147
 
21.5%

Length

2024-05-11T15:55:13.029509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:55:13.165245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 7853
78.5%
영업/정상 2147
 
21.5%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
7853 
1
2147 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 7853
78.5%
1 2147
 
21.5%

Length

2024-05-11T15:55:13.301862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:55:13.426420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 7853
78.5%
1 2147
 
21.5%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
7853 
영업
2147 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 7853
78.5%
영업 2147
 
21.5%

Length

2024-05-11T15:55:13.547712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:55:13.696824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 7853
78.5%
영업 2147
 
21.5%

폐업일자
Date

MISSING 

Distinct4386
Distinct (%)55.9%
Missing2147
Missing (%)21.5%
Memory size156.2 KiB
Minimum1983-07-16 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T15:55:13.902174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:55:14.162354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

전화번호
Text

MISSING 

Distinct5271
Distinct (%)84.9%
Missing3790
Missing (%)37.9%
Memory size156.2 KiB
2024-05-11T15:55:14.632736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.7027375
Min length2

Characters and Unicode

Total characters60254
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

Unique5094 ?
Unique (%)82.0%

Sample

1st row02 8598753
2nd row02861 1869
3rd row0200000000
4th row0226312072
5th row0266799218
ValueCountFrequency (%)
02 4342
40.6%
0 327
 
3.1%
00000 88
 
0.8%
0200000000 53
 
0.5%
830 22
 
0.2%
855 20
 
0.2%
858 20
 
0.2%
070 19
 
0.2%
856 19
 
0.2%
867 18
 
0.2%
Other values (5336) 5756
53.9%
2024-05-11T15:55:15.326936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 10981
18.2%
0 10848
18.0%
8 6487
10.8%
6 6430
10.7%
6102
10.1%
5 3880
 
6.4%
1 3684
 
6.1%
3 3331
 
5.5%
7 3088
 
5.1%
9 2780
 
4.6%
Other values (2) 2643
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 54151
89.9%
Space Separator 6102
 
10.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 10981
20.3%
0 10848
20.0%
8 6487
12.0%
6 6430
11.9%
5 3880
 
7.2%
1 3684
 
6.8%
3 3331
 
6.2%
7 3088
 
5.7%
9 2780
 
5.1%
4 2642
 
4.9%
Space Separator
ValueCountFrequency (%)
6102
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 60254
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 10981
18.2%
0 10848
18.0%
8 6487
10.8%
6 6430
10.7%
6102
10.1%
5 3880
 
6.4%
1 3684
 
6.1%
3 3331
 
5.5%
7 3088
 
5.1%
9 2780
 
4.6%
Other values (2) 2643
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 60254
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 10981
18.2%
0 10848
18.0%
8 6487
10.8%
6 6430
10.7%
6102
10.1%
5 3880
 
6.4%
1 3684
 
6.1%
3 3331
 
5.5%
7 3088
 
5.1%
9 2780
 
4.6%
Other values (2) 2643
 
4.4%

소재지면적
Text

MISSING 

Distinct4293
Distinct (%)44.1%
Missing263
Missing (%)2.6%
Memory size156.2 KiB
2024-05-11T15:55:15.844924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.1103009
Min length3

Characters and Unicode

Total characters49759
Distinct characters12
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

Unique2749 ?
Unique (%)28.2%

Sample

1st row18.01
2nd row33.00
3rd row16.40
4th row159.28
5th row15.00
ValueCountFrequency (%)
33.00 169
 
1.7%
25.00 168
 
1.7%
26.40 147
 
1.5%
23.10 100
 
1.0%
30.00 93
 
1.0%
19.80 77
 
0.8%
66.00 65
 
0.7%
16.50 59
 
0.6%
20.00 59
 
0.6%
40.00 56
 
0.6%
Other values (4283) 8744
89.8%
2024-05-11T15:55:16.703706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 9737
19.6%
0 8220
16.5%
2 5200
10.5%
1 4400
8.8%
3 3857
 
7.8%
4 3629
 
7.3%
5 3415
 
6.9%
6 3307
 
6.6%
8 2805
 
5.6%
9 2673
 
5.4%
Other values (2) 2516
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40013
80.4%
Other Punctuation 9746
 
19.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8220
20.5%
2 5200
13.0%
1 4400
11.0%
3 3857
9.6%
4 3629
9.1%
5 3415
8.5%
6 3307
8.3%
8 2805
 
7.0%
9 2673
 
6.7%
7 2507
 
6.3%
Other Punctuation
ValueCountFrequency (%)
. 9737
99.9%
, 9
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 49759
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 9737
19.6%
0 8220
16.5%
2 5200
10.5%
1 4400
8.8%
3 3857
 
7.8%
4 3629
 
7.3%
5 3415
 
6.9%
6 3307
 
6.6%
8 2805
 
5.6%
9 2673
 
5.4%
Other values (2) 2516
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49759
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 9737
19.6%
0 8220
16.5%
2 5200
10.5%
1 4400
8.8%
3 3857
 
7.8%
4 3629
 
7.3%
5 3415
 
6.9%
6 3307
 
6.6%
8 2805
 
5.6%
9 2673
 
5.4%
Other values (2) 2516
 
5.1%
Distinct258
Distinct (%)2.6%
Missing6
Missing (%)0.1%
Memory size156.2 KiB
2024-05-11T15:55:17.630619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1014609
Min length6

Characters and Unicode

Total characters60978
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

Unique32 ?
Unique (%)0.3%

Sample

1st row152875
2nd row152-875
3rd row152805
4th row152888
5th row152050
ValueCountFrequency (%)
152050 409
 
4.1%
152801 338
 
3.4%
152800 317
 
3.2%
152848 270
 
2.7%
152872 268
 
2.7%
152880 264
 
2.6%
152815 237
 
2.4%
152838 219
 
2.2%
152871 201
 
2.0%
152864 197
 
2.0%
Other values (248) 7274
72.8%
2024-05-11T15:55:18.429857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 12195
20.0%
1 11768
19.3%
2 11733
19.2%
8 10965
18.0%
0 4087
 
6.7%
4 2318
 
3.8%
7 2056
 
3.4%
6 1966
 
3.2%
3 1490
 
2.4%
9 1386
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 59964
98.3%
Dash Punctuation 1014
 
1.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 12195
20.3%
1 11768
19.6%
2 11733
19.6%
8 10965
18.3%
0 4087
 
6.8%
4 2318
 
3.9%
7 2056
 
3.4%
6 1966
 
3.3%
3 1490
 
2.5%
9 1386
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 1014
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 60978
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 12195
20.0%
1 11768
19.3%
2 11733
19.2%
8 10965
18.0%
0 4087
 
6.7%
4 2318
 
3.8%
7 2056
 
3.4%
6 1966
 
3.2%
3 1490
 
2.4%
9 1386
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 60978
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 12195
20.0%
1 11768
19.3%
2 11733
19.2%
8 10965
18.0%
0 4087
 
6.7%
4 2318
 
3.8%
7 2056
 
3.4%
6 1966
 
3.2%
3 1490
 
2.4%
9 1386
 
2.3%
Distinct7125
Distinct (%)71.3%
Missing3
Missing (%)< 0.1%
Memory size156.2 KiB
2024-05-11T15:55:18.965168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length56
Mean length25.879564
Min length15

Characters and Unicode

Total characters258718
Distinct characters434
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

Unique5683 ?
Unique (%)56.8%

Sample

1st row서울특별시 구로구 구로동 781-25번지
2nd row서울특별시 구로구 구로동 781-25 풍성
3rd row서울특별시 구로구 개봉동 148-1번지
4th row서울특별시 구로구 신도림동 437-1번지
5th row서울특별시 구로구 구로동 1258번지 중앙유통 B28-18
ValueCountFrequency (%)
구로구 10002
21.2%
서울특별시 9996
21.1%
구로동 4827
 
10.2%
개봉동 1502
 
3.2%
고척동 1164
 
2.5%
오류동 849
 
1.8%
가리봉동 754
 
1.6%
신도림동 542
 
1.1%
1층 498
 
1.1%
지하1층 222
 
0.5%
Other values (6809) 16927
35.8%
2024-05-11T15:55:19.721247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45365
17.5%
25288
 
9.8%
15170
 
5.9%
1 12667
 
4.9%
10522
 
4.1%
10116
 
3.9%
10023
 
3.9%
10001
 
3.9%
10001
 
3.9%
9996
 
3.9%
Other values (424) 99569
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 148450
57.4%
Decimal Number 53162
 
20.5%
Space Separator 45365
 
17.5%
Dash Punctuation 9625
 
3.7%
Uppercase Letter 894
 
0.3%
Other Punctuation 516
 
0.2%
Close Punctuation 301
 
0.1%
Open Punctuation 300
 
0.1%
Lowercase Letter 66
 
< 0.1%
Math Symbol 27
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
25288
17.0%
15170
10.2%
10522
 
7.1%
10116
 
6.8%
10023
 
6.8%
10001
 
6.7%
10001
 
6.7%
9996
 
6.7%
8380
 
5.6%
7321
 
4.9%
Other values (359) 31632
21.3%
Uppercase Letter
ValueCountFrequency (%)
B 329
36.8%
C 103
 
11.5%
A 85
 
9.5%
D 72
 
8.1%
S 51
 
5.7%
K 44
 
4.9%
E 40
 
4.5%
G 39
 
4.4%
F 37
 
4.1%
N 27
 
3.0%
Other values (13) 67
 
7.5%
Lowercase Letter
ValueCountFrequency (%)
e 22
33.3%
o 8
 
12.1%
r 8
 
12.1%
w 7
 
10.6%
b 4
 
6.1%
n 3
 
4.5%
a 3
 
4.5%
c 2
 
3.0%
s 2
 
3.0%
k 2
 
3.0%
Other values (5) 5
 
7.6%
Decimal Number
ValueCountFrequency (%)
1 12667
23.8%
2 7505
14.1%
3 5896
11.1%
0 4793
 
9.0%
4 4594
 
8.6%
5 4050
 
7.6%
7 3987
 
7.5%
6 3689
 
6.9%
8 3467
 
6.5%
9 2514
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 463
89.7%
. 35
 
6.8%
/ 7
 
1.4%
@ 4
 
0.8%
? 3
 
0.6%
& 3
 
0.6%
: 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 25
92.6%
1
 
3.7%
> 1
 
3.7%
Letter Number
ValueCountFrequency (%)
7
58.3%
3
25.0%
2
 
16.7%
Space Separator
ValueCountFrequency (%)
45365
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9625
100.0%
Close Punctuation
ValueCountFrequency (%)
) 301
100.0%
Open Punctuation
ValueCountFrequency (%)
( 300
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 148450
57.4%
Common 109296
42.2%
Latin 972
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
25288
17.0%
15170
10.2%
10522
 
7.1%
10116
 
6.8%
10023
 
6.8%
10001
 
6.7%
10001
 
6.7%
9996
 
6.7%
8380
 
5.6%
7321
 
4.9%
Other values (359) 31632
21.3%
Latin
ValueCountFrequency (%)
B 329
33.8%
C 103
 
10.6%
A 85
 
8.7%
D 72
 
7.4%
S 51
 
5.2%
K 44
 
4.5%
E 40
 
4.1%
G 39
 
4.0%
F 37
 
3.8%
N 27
 
2.8%
Other values (31) 145
14.9%
Common
ValueCountFrequency (%)
45365
41.5%
1 12667
 
11.6%
- 9625
 
8.8%
2 7505
 
6.9%
3 5896
 
5.4%
0 4793
 
4.4%
4 4594
 
4.2%
5 4050
 
3.7%
7 3987
 
3.6%
6 3689
 
3.4%
Other values (14) 7125
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 148450
57.4%
ASCII 110255
42.6%
Number Forms 12
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
45365
41.1%
1 12667
 
11.5%
- 9625
 
8.7%
2 7505
 
6.8%
3 5896
 
5.3%
0 4793
 
4.3%
4 4594
 
4.2%
5 4050
 
3.7%
7 3987
 
3.6%
6 3689
 
3.3%
Other values (51) 8084
 
7.3%
Hangul
ValueCountFrequency (%)
25288
17.0%
15170
10.2%
10522
 
7.1%
10116
 
6.8%
10023
 
6.8%
10001
 
6.7%
10001
 
6.7%
9996
 
6.7%
8380
 
5.6%
7321
 
4.9%
Other values (359) 31632
21.3%
Number Forms
ValueCountFrequency (%)
7
58.3%
3
25.0%
2
 
16.7%
Math Operators
ValueCountFrequency (%)
1
100.0%

도로명주소
Text

MISSING 

Distinct3923
Distinct (%)88.7%
Missing5576
Missing (%)55.8%
Memory size156.2 KiB
2024-05-11T15:55:20.159180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length58
Mean length33.704566
Min length21

Characters and Unicode

Total characters149109
Distinct characters401
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3554 ?
Unique (%)80.3%

Sample

1st row서울특별시 구로구 도림로12길 21, 풍성 가동 103호 (구로동)
2nd row서울특별시 구로구 새말로 89, 103호 (구로동)
3rd row서울특별시 구로구 오류로8길 96 (오류동)
4th row서울특별시 구로구 경인로25길 28 (오류동)
5th row서울특별시 구로구 구일로8길 31, 1층 112호 (구로동, 우성아파트상가)
ValueCountFrequency (%)
서울특별시 4423
 
15.6%
구로구 4423
 
15.6%
구로동 2023
 
7.1%
1층 1426
 
5.0%
개봉동 516
 
1.8%
고척동 448
 
1.6%
오류동 355
 
1.3%
경인로 348
 
1.2%
지하1층 336
 
1.2%
신도림동 274
 
1.0%
Other values (2682) 13742
48.5%
2024-05-11T15:55:21.026331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23921
 
16.0%
12109
 
8.1%
11980
 
8.0%
1 7655
 
5.1%
5357
 
3.6%
4568
 
3.1%
) 4560
 
3.1%
( 4559
 
3.1%
4556
 
3.1%
4428
 
3.0%
Other values (391) 65416
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 85216
57.2%
Decimal Number 24849
 
16.7%
Space Separator 23921
 
16.0%
Close Punctuation 4560
 
3.1%
Open Punctuation 4559
 
3.1%
Other Punctuation 4301
 
2.9%
Dash Punctuation 945
 
0.6%
Uppercase Letter 663
 
0.4%
Lowercase Letter 56
 
< 0.1%
Math Symbol 26
 
< 0.1%
Other values (2) 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12109
14.2%
11980
14.1%
5357
 
6.3%
4568
 
5.4%
4556
 
5.3%
4428
 
5.2%
4425
 
5.2%
4423
 
5.2%
2831
 
3.3%
2604
 
3.1%
Other values (330) 27935
32.8%
Uppercase Letter
ValueCountFrequency (%)
B 294
44.3%
C 60
 
9.0%
A 51
 
7.7%
S 49
 
7.4%
K 36
 
5.4%
F 28
 
4.2%
N 28
 
4.2%
D 27
 
4.1%
T 20
 
3.0%
G 13
 
2.0%
Other values (12) 57
 
8.6%
Lowercase Letter
ValueCountFrequency (%)
e 17
30.4%
r 8
14.3%
o 8
14.3%
w 7
12.5%
n 3
 
5.4%
s 2
 
3.6%
a 2
 
3.6%
k 2
 
3.6%
u 1
 
1.8%
t 1
 
1.8%
Other values (5) 5
 
8.9%
Decimal Number
ValueCountFrequency (%)
1 7655
30.8%
2 4085
16.4%
0 2629
 
10.6%
3 2612
 
10.5%
6 1610
 
6.5%
5 1497
 
6.0%
4 1420
 
5.7%
7 1264
 
5.1%
8 1176
 
4.7%
9 901
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 4274
99.4%
. 24
 
0.6%
& 2
 
< 0.1%
/ 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
6
54.5%
4
36.4%
1
 
9.1%
Math Symbol
ValueCountFrequency (%)
~ 25
96.2%
1
 
3.8%
Space Separator
ValueCountFrequency (%)
23921
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4560
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4559
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 945
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 85216
57.2%
Common 63163
42.4%
Latin 730
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12109
14.2%
11980
14.1%
5357
 
6.3%
4568
 
5.4%
4556
 
5.3%
4428
 
5.2%
4425
 
5.2%
4423
 
5.2%
2831
 
3.3%
2604
 
3.1%
Other values (330) 27935
32.8%
Latin
ValueCountFrequency (%)
B 294
40.3%
C 60
 
8.2%
A 51
 
7.0%
S 49
 
6.7%
K 36
 
4.9%
F 28
 
3.8%
N 28
 
3.8%
D 27
 
3.7%
T 20
 
2.7%
e 17
 
2.3%
Other values (30) 120
16.4%
Common
ValueCountFrequency (%)
23921
37.9%
1 7655
 
12.1%
) 4560
 
7.2%
( 4559
 
7.2%
, 4274
 
6.8%
2 4085
 
6.5%
0 2629
 
4.2%
3 2612
 
4.1%
6 1610
 
2.5%
5 1497
 
2.4%
Other values (11) 5761
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 85216
57.2%
ASCII 63879
42.8%
Number Forms 11
 
< 0.1%
CJK Compat 2
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23921
37.4%
1 7655
 
12.0%
) 4560
 
7.1%
( 4559
 
7.1%
, 4274
 
6.7%
2 4085
 
6.4%
0 2629
 
4.1%
3 2612
 
4.1%
6 1610
 
2.5%
5 1497
 
2.3%
Other values (46) 6477
 
10.1%
Hangul
ValueCountFrequency (%)
12109
14.2%
11980
14.1%
5357
 
6.3%
4568
 
5.4%
4556
 
5.3%
4428
 
5.2%
4425
 
5.2%
4423
 
5.2%
2831
 
3.3%
2604
 
3.1%
Other values (330) 27935
32.8%
Number Forms
ValueCountFrequency (%)
6
54.5%
4
36.4%
1
 
9.1%
CJK Compat
ValueCountFrequency (%)
2
100.0%
Math Operators
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct181
Distinct (%)4.1%
Missing5600
Missing (%)56.0%
Infinite0
Infinite (%)0.0%
Mean8302.5664
Minimum8201
Maximum8395
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T15:55:21.319860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8201
5-th percentile8209
Q18255
median8302
Q38353
95-th percentile8391
Maximum8395
Range194
Interquartile range (IQR)98

Descriptive statistics

Standard deviation58.649503
Coefficient of variation (CV)0.007064021
Kurtosis-1.1516734
Mean8302.5664
Median Absolute Deviation (MAD)50
Skewness-0.025396803
Sum36531292
Variance3439.7642
MonotonicityNot monotonic
2024-05-11T15:55:21.621072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8289 129
 
1.3%
8391 119
 
1.2%
8390 94
 
0.9%
8209 90
 
0.9%
8292 87
 
0.9%
8311 87
 
0.9%
8208 78
 
0.8%
8288 77
 
0.8%
8378 76
 
0.8%
8306 70
 
0.7%
Other values (171) 3493
34.9%
(Missing) 5600
56.0%
ValueCountFrequency (%)
8201 6
 
0.1%
8202 4
 
< 0.1%
8203 17
 
0.2%
8204 7
 
0.1%
8205 10
 
0.1%
8206 31
 
0.3%
8207 12
 
0.1%
8208 78
0.8%
8209 90
0.9%
8210 28
 
0.3%
ValueCountFrequency (%)
8395 29
 
0.3%
8394 13
 
0.1%
8393 37
 
0.4%
8392 43
 
0.4%
8391 119
1.2%
8390 94
0.9%
8389 21
 
0.2%
8388 22
 
0.2%
8387 60
0.6%
8386 38
 
0.4%
Distinct8421
Distinct (%)84.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T15:55:22.245045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length29
Mean length5.4932
Min length1

Characters and Unicode

Total characters54932
Distinct characters1082
Distinct categories12 ?
Distinct scripts6 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7516 ?
Unique (%)75.2%

Sample

1st row이서방양념치킨
2nd row옥이네 포차
3rd row현원식당
4th row야미야미
5th row공주네분식
ValueCountFrequency (%)
구로점 77
 
0.6%
신도림점 50
 
0.4%
개봉점 39
 
0.3%
전주식당 38
 
0.3%
구로디지털점 37
 
0.3%
고척점 31
 
0.3%
카페 24
 
0.2%
주민자치위원회 24
 
0.2%
구로디지털단지점 23
 
0.2%
호남식당 21
 
0.2%
Other values (8908) 11673
97.0%
2024-05-11T15:55:23.209885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2039
 
3.7%
1516
 
2.8%
1151
 
2.1%
982
 
1.8%
970
 
1.8%
917
 
1.7%
723
 
1.3%
714
 
1.3%
710
 
1.3%
695
 
1.3%
Other values (1072) 44515
81.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50090
91.2%
Space Separator 2039
 
3.7%
Lowercase Letter 713
 
1.3%
Uppercase Letter 696
 
1.3%
Decimal Number 598
 
1.1%
Close Punctuation 296
 
0.5%
Open Punctuation 295
 
0.5%
Other Punctuation 191
 
0.3%
Dash Punctuation 9
 
< 0.1%
Math Symbol 3
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1516
 
3.0%
1151
 
2.3%
982
 
2.0%
970
 
1.9%
917
 
1.8%
723
 
1.4%
714
 
1.4%
710
 
1.4%
695
 
1.4%
677
 
1.4%
Other values (993) 41035
81.9%
Uppercase Letter
ValueCountFrequency (%)
B 91
 
13.1%
C 70
 
10.1%
O 47
 
6.8%
N 39
 
5.6%
A 39
 
5.6%
E 36
 
5.2%
M 36
 
5.2%
T 33
 
4.7%
G 31
 
4.5%
H 29
 
4.2%
Other values (16) 245
35.2%
Lowercase Letter
ValueCountFrequency (%)
e 100
14.0%
a 79
11.1%
o 73
 
10.2%
f 43
 
6.0%
c 41
 
5.8%
n 40
 
5.6%
s 39
 
5.5%
i 36
 
5.0%
r 34
 
4.8%
l 33
 
4.6%
Other values (15) 195
27.3%
Other Punctuation
ValueCountFrequency (%)
& 62
32.5%
. 61
31.9%
, 27
14.1%
? 16
 
8.4%
' 14
 
7.3%
! 5
 
2.6%
: 2
 
1.0%
# 1
 
0.5%
/ 1
 
0.5%
1
 
0.5%
Decimal Number
ValueCountFrequency (%)
2 129
21.6%
1 128
21.4%
0 69
11.5%
3 54
9.0%
9 52
8.7%
8 49
 
8.2%
5 36
 
6.0%
7 33
 
5.5%
4 31
 
5.2%
6 17
 
2.8%
Space Separator
ValueCountFrequency (%)
2039
100.0%
Close Punctuation
ValueCountFrequency (%)
) 296
100.0%
Open Punctuation
ValueCountFrequency (%)
( 295
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50030
91.1%
Common 3432
 
6.2%
Latin 1410
 
2.6%
Han 57
 
0.1%
Hiragana 2
 
< 0.1%
Katakana 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1516
 
3.0%
1151
 
2.3%
982
 
2.0%
970
 
1.9%
917
 
1.8%
723
 
1.4%
714
 
1.4%
710
 
1.4%
695
 
1.4%
677
 
1.4%
Other values (941) 40975
81.9%
Latin
ValueCountFrequency (%)
e 100
 
7.1%
B 91
 
6.5%
a 79
 
5.6%
o 73
 
5.2%
C 70
 
5.0%
O 47
 
3.3%
f 43
 
3.0%
c 41
 
2.9%
n 40
 
2.8%
s 39
 
2.8%
Other values (42) 787
55.8%
Han
ValueCountFrequency (%)
4
 
7.0%
3
 
5.3%
2
 
3.5%
2
 
3.5%
2
 
3.5%
1
 
1.8%
1
 
1.8%
1
 
1.8%
1
 
1.8%
1
 
1.8%
Other values (39) 39
68.4%
Common
ValueCountFrequency (%)
2039
59.4%
) 296
 
8.6%
( 295
 
8.6%
2 129
 
3.8%
1 128
 
3.7%
0 69
 
2.0%
& 62
 
1.8%
. 61
 
1.8%
3 54
 
1.6%
9 52
 
1.5%
Other values (17) 247
 
7.2%
Hiragana
ValueCountFrequency (%)
1
50.0%
1
50.0%
Katakana
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50030
91.1%
ASCII 4840
 
8.8%
CJK 54
 
0.1%
CJK Compat Ideographs 3
 
< 0.1%
Hiragana 2
 
< 0.1%
Number Forms 1
 
< 0.1%
Katakana 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2039
42.1%
) 296
 
6.1%
( 295
 
6.1%
2 129
 
2.7%
1 128
 
2.6%
e 100
 
2.1%
B 91
 
1.9%
a 79
 
1.6%
o 73
 
1.5%
C 70
 
1.4%
Other values (67) 1540
31.8%
Hangul
ValueCountFrequency (%)
1516
 
3.0%
1151
 
2.3%
982
 
2.0%
970
 
1.9%
917
 
1.8%
723
 
1.4%
714
 
1.4%
710
 
1.4%
695
 
1.4%
677
 
1.4%
Other values (941) 40975
81.9%
CJK
ValueCountFrequency (%)
4
 
7.4%
3
 
5.6%
2
 
3.7%
2
 
3.7%
2
 
3.7%
1
 
1.9%
1
 
1.9%
1
 
1.9%
1
 
1.9%
1
 
1.9%
Other values (36) 36
66.7%
CJK Compat Ideographs
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Number Forms
ValueCountFrequency (%)
1
100.0%
Hiragana
ValueCountFrequency (%)
1
50.0%
1
50.0%
Katakana
ValueCountFrequency (%)
1
100.0%
None
ValueCountFrequency (%)
1
100.0%
Distinct6745
Distinct (%)67.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1999-03-02 00:00:00
Maximum2024-05-09 17:54:54
2024-05-11T15:55:23.533201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:55:23.810302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
7218 
U
2782 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 7218
72.2%
U 2782
 
27.8%

Length

2024-05-11T15:55:24.067510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:55:24.250471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 7218
72.2%
u 2782
 
27.8%
Distinct1241
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T15:55:24.494687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:55:24.789475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한식
4498 
분식
1935 
호프/통닭
1168 
중국식
537 
기타
480 
Other values (20)
1382 

Length

Max length15
Median length2
Mean length2.7583
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row분식
2nd row호프/통닭
3rd row분식
4th row한식
5th row한식

Common Values

ValueCountFrequency (%)
한식 4498
45.0%
분식 1935
19.4%
호프/통닭 1168
 
11.7%
중국식 537
 
5.4%
기타 480
 
4.8%
경양식 342
 
3.4%
통닭(치킨) 291
 
2.9%
일식 257
 
2.6%
정종/대포집/소주방 110
 
1.1%
패스트푸드 96
 
1.0%
Other values (15) 286
 
2.9%

Length

2024-05-11T15:55:25.045040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 4498
45.0%
분식 1935
19.4%
호프/통닭 1168
 
11.7%
중국식 537
 
5.4%
기타 480
 
4.8%
경양식 342
 
3.4%
통닭(치킨 291
 
2.9%
일식 257
 
2.6%
정종/대포집/소주방 110
 
1.1%
패스트푸드 96
 
1.0%
Other values (15) 286
 
2.9%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct3303
Distinct (%)34.4%
Missing398
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean188688.43
Minimum183179.76
Maximum191280.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T15:55:25.264985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183179.76
5-th percentile185793.57
Q1187179.27
median189522.19
Q3190107.05
95-th percentile190779.82
Maximum191280.66
Range8100.8978
Interquartile range (IQR)2927.7765

Descriptive statistics

Standard deviation1755.752
Coefficient of variation (CV)0.0093050324
Kurtosis-0.77686326
Mean188688.43
Median Absolute Deviation (MAD)925.05632
Skewness-0.62709054
Sum1.8117863 × 109
Variance3082665
MonotonicityNot monotonic
2024-05-11T15:55:25.535973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
188840.515865617 145
 
1.5%
189277.761702183 132
 
1.3%
188481.187122708 123
 
1.2%
190232.524534335 91
 
0.9%
190107.045415333 90
 
0.9%
190005.132500398 59
 
0.6%
189570.360930049 59
 
0.6%
190349.885855531 50
 
0.5%
187619.596959162 44
 
0.4%
190272.747250041 42
 
0.4%
Other values (3293) 8767
87.7%
(Missing) 398
 
4.0%
ValueCountFrequency (%)
183179.759916 1
 
< 0.1%
183605.879396358 1
 
< 0.1%
183701.981267554 2
 
< 0.1%
183746.686550444 3
 
< 0.1%
183807.118188697 8
0.1%
183852.400997364 1
 
< 0.1%
183874.063801283 2
 
< 0.1%
183954.132777475 1
 
< 0.1%
183969.570522017 4
< 0.1%
183972.003246413 2
 
< 0.1%
ValueCountFrequency (%)
191280.657696914 6
0.1%
191251.148859974 2
 
< 0.1%
191250.050385034 2
 
< 0.1%
191239.693382941 3
 
< 0.1%
191229.896362573 4
 
< 0.1%
191225.591920564 9
0.1%
191209.106092001 10
0.1%
191205.791543965 7
0.1%
191200.722936426 14
0.1%
191191.935645894 4
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct3303
Distinct (%)34.4%
Missing398
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean443610.46
Minimum441556.05
Maximum445650.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T15:55:25.821877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441556.05
5-th percentile442166.22
Q1442884.34
median443629.42
Q3444325.81
95-th percentile444978.68
Maximum445650.18
Range4094.1364
Interquartile range (IQR)1441.4683

Descriptive statistics

Standard deviation883.85299
Coefficient of variation (CV)0.0019924079
Kurtosis-0.95851272
Mean443610.46
Median Absolute Deviation (MAD)712.05044
Skewness-0.061257596
Sum4.2595476 × 109
Variance781196.11
MonotonicityNot monotonic
2024-05-11T15:55:26.068591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444306.771104527 145
 
1.5%
444671.551731639 132
 
1.3%
444200.017269092 123
 
1.2%
444978.682746138 91
 
0.9%
445157.626366229 90
 
0.9%
445250.538868558 59
 
0.6%
444336.051330144 59
 
0.6%
444836.673561831 50
 
0.5%
444186.923109714 44
 
0.4%
442929.283068723 42
 
0.4%
Other values (3293) 8767
87.7%
(Missing) 398
 
4.0%
ValueCountFrequency (%)
441556.047600555 2
 
< 0.1%
441599.355055656 8
0.1%
441635.530522399 2
 
< 0.1%
441667.273859654 1
 
< 0.1%
441686.663572767 1
 
< 0.1%
441744.40616131 3
 
< 0.1%
441851.983643217 1
 
< 0.1%
441868.707510887 2
 
< 0.1%
441880.745508083 5
0.1%
441882.810784839 1
 
< 0.1%
ValueCountFrequency (%)
445650.183972882 5
0.1%
445606.682305619 1
 
< 0.1%
445564.195715393 2
 
< 0.1%
445556.641493041 4
< 0.1%
445532.056886722 2
 
< 0.1%
445505.031473792 2
 
< 0.1%
445504.004309294 2
 
< 0.1%
445497.353224883 1
 
< 0.1%
445494.90865302 1
 
< 0.1%
445491.465726813 1
 
< 0.1%

위생업태명
Categorical

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한식
3868 
분식
1820 
<NA>
1516 
호프/통닭
947 
중국식
404 
Other values (21)
1445 

Length

Max length15
Median length2
Mean length2.92
Min length2

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
한식 3868
38.7%
분식 1820
18.2%
<NA> 1516
 
15.2%
호프/통닭 947
 
9.5%
중국식 404
 
4.0%
경양식 307
 
3.1%
기타 278
 
2.8%
통닭(치킨) 268
 
2.7%
일식 193
 
1.9%
정종/대포집/소주방 106
 
1.1%
Other values (16) 293
 
2.9%

Length

2024-05-11T15:55:26.326492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 3868
38.7%
분식 1820
18.2%
na 1516
 
15.2%
호프/통닭 947
 
9.5%
중국식 404
 
4.0%
경양식 307
 
3.1%
기타 278
 
2.8%
통닭(치킨 268
 
2.7%
일식 193
 
1.9%
정종/대포집/소주방 106
 
1.1%
Other values (16) 293
 
2.9%

남성종사자수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct11
Distinct (%)0.2%
Missing4615
Missing (%)46.2%
Infinite0
Infinite (%)0.0%
Mean0.4185701
Minimum0
Maximum93
Zeros3768
Zeros (%)37.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T15:55:26.548075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum93
Range93
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4716579
Coefficient of variation (CV)3.5159174
Kurtosis2911.5438
Mean0.4185701
Median Absolute Deviation (MAD)0
Skewness46.739003
Sum2254
Variance2.1657769
MonotonicityNot monotonic
2024-05-11T15:55:26.772027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 3768
37.7%
1 1245
 
12.4%
2 268
 
2.7%
3 71
 
0.7%
4 15
 
0.1%
5 10
 
0.1%
6 4
 
< 0.1%
10 1
 
< 0.1%
93 1
 
< 0.1%
12 1
 
< 0.1%
(Missing) 4615
46.2%
ValueCountFrequency (%)
0 3768
37.7%
1 1245
 
12.4%
2 268
 
2.7%
3 71
 
0.7%
4 15
 
0.1%
5 10
 
0.1%
6 4
 
< 0.1%
10 1
 
< 0.1%
11 1
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
93 1
 
< 0.1%
12 1
 
< 0.1%
11 1
 
< 0.1%
10 1
 
< 0.1%
6 4
 
< 0.1%
5 10
 
0.1%
4 15
 
0.1%
3 71
 
0.7%
2 268
 
2.7%
1 1245
12.4%

여성종사자수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct14
Distinct (%)0.3%
Missing4587
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean0.72325882
Minimum0
Maximum93
Zeros2986
Zeros (%)29.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T15:55:26.948216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum93
Range93
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.634884
Coefficient of variation (CV)2.2604412
Kurtosis1880.3613
Mean0.72325882
Median Absolute Deviation (MAD)0
Skewness34.134197
Sum3915
Variance2.6728458
MonotonicityNot monotonic
2024-05-11T15:55:27.108237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 2986
29.9%
1 1481
 
14.8%
2 691
 
6.9%
3 168
 
1.7%
4 45
 
0.4%
5 18
 
0.2%
6 11
 
0.1%
10 4
 
< 0.1%
7 3
 
< 0.1%
8 2
 
< 0.1%
Other values (4) 4
 
< 0.1%
(Missing) 4587
45.9%
ValueCountFrequency (%)
0 2986
29.9%
1 1481
14.8%
2 691
 
6.9%
3 168
 
1.7%
4 45
 
0.4%
5 18
 
0.2%
6 11
 
0.1%
7 3
 
< 0.1%
8 2
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
93 1
 
< 0.1%
20 1
 
< 0.1%
13 1
 
< 0.1%
10 4
 
< 0.1%
9 1
 
< 0.1%
8 2
 
< 0.1%
7 3
 
< 0.1%
6 11
 
0.1%
5 18
 
0.2%
4 45
0.4%
Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5381 
기타
2332 
주택가주변
1912 
아파트지역
 
185
유흥업소밀집지역
 
168
Other values (3)
 
22

Length

Max length8
Median length4
Mean length3.8189
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5381
53.8%
기타 2332
23.3%
주택가주변 1912
 
19.1%
아파트지역 185
 
1.8%
유흥업소밀집지역 168
 
1.7%
학교정화(상대) 12
 
0.1%
학교정화(절대) 6
 
0.1%
결혼예식장주변 4
 
< 0.1%

Length

2024-05-11T15:55:27.302726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:55:27.498692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5381
53.8%
기타 2332
23.3%
주택가주변 1912
 
19.1%
아파트지역 185
 
1.8%
유흥업소밀집지역 168
 
1.7%
학교정화(상대 12
 
0.1%
학교정화(절대 6
 
0.1%
결혼예식장주변 4
 
< 0.1%

등급구분명
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5472 
자율
1934 
1586 
지도
732 
기타
 
219
Other values (3)
 
57

Length

Max length4
Median length4
Mean length2.9309
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5472
54.7%
자율 1934
 
19.3%
1586
 
15.9%
지도 732
 
7.3%
기타 219
 
2.2%
49
 
0.5%
우수 5
 
0.1%
관리 3
 
< 0.1%

Length

2024-05-11T15:55:27.776089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:55:28.088451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5472
54.7%
자율 1934
 
19.3%
1586
 
15.9%
지도 732
 
7.3%
기타 219
 
2.2%
49
 
0.5%
우수 5
 
< 0.1%
관리 3
 
< 0.1%

급수시설구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
상수도전용
7223 
<NA>
2736 
간이상수도
 
26
상수도(음용)지하수(주방용)겸용
 
9
지하수전용
 
6

Length

Max length17
Median length5
Mean length4.7372
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 7223
72.2%
<NA> 2736
 
27.4%
간이상수도 26
 
0.3%
상수도(음용)지하수(주방용)겸용 9
 
0.1%
지하수전용 6
 
0.1%

Length

2024-05-11T15:55:28.341041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:55:28.537005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 7223
72.2%
na 2736
 
27.4%
간이상수도 26
 
0.3%
상수도(음용)지하수(주방용)겸용 9
 
0.1%
지하수전용 6
 
0.1%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9651 
0
 
349

Length

Max length4
Median length4
Mean length3.8953
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> 9651
96.5%
0 349
 
3.5%

Length

2024-05-11T15:55:28.767753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:55:28.948470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9651
96.5%
0 349
 
3.5%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9650 
0
 
350

Length

Max length4
Median length4
Mean length3.895
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> 9650
96.5%
0 350
 
3.5%

Length

2024-05-11T15:55:29.123226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:55:29.284661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9650
96.5%
0 350
 
3.5%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9650 
0
 
350

Length

Max length4
Median length4
Mean length3.895
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> 9650
96.5%
0 350
 
3.5%

Length

2024-05-11T15:55:29.454792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:55:29.630031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9650
96.5%
0 350
 
3.5%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9650 
0
 
350

Length

Max length4
Median length4
Mean length3.895
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> 9650
96.5%
0 350
 
3.5%

Length

2024-05-11T15:55:29.828374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:55:30.032854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9650
96.5%
0 350
 
3.5%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9650 
0
 
350

Length

Max length4
Median length4
Mean length3.895
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> 9650
96.5%
0 350
 
3.5%

Length

2024-05-11T15:55:30.680793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:55:30.873697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9650
96.5%
0 350
 
3.5%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9650 
0
 
350

Length

Max length4
Median length4
Mean length3.895
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> 9650
96.5%
0 350
 
3.5%

Length

2024-05-11T15:55:31.064673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:55:31.259008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9650
96.5%
0 350
 
3.5%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9650 
0
 
350

Length

Max length4
Median length4
Mean length3.895
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> 9650
96.5%
0 350
 
3.5%

Length

2024-05-11T15:55:31.475908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:55:31.660706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9650
96.5%
0 350
 
3.5%

다중이용업소여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1516
Missing (%)15.2%
Memory size97.7 KiB
False
8415 
True
 
69
(Missing)
1516 
ValueCountFrequency (%)
False 8415
84.2%
True 69
 
0.7%
(Missing) 1516
 
15.2%
2024-05-11T15:55:31.818872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct3845
Distinct (%)45.3%
Missing1516
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean56.588187
Minimum0
Maximum3798.74
Zeros278
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T15:55:32.072055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q122.77
median33
Q362.4
95-th percentile157.36
Maximum3798.74
Range3798.74
Interquartile range (IQR)39.63

Descriptive statistics

Standard deviation95.241722
Coefficient of variation (CV)1.6830672
Kurtosis550.54871
Mean56.588187
Median Absolute Deviation (MAD)14.7
Skewness16.927664
Sum480094.18
Variance9070.9856
MonotonicityNot monotonic
2024-05-11T15:55:32.360641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 278
 
2.8%
26.4 137
 
1.4%
33.0 122
 
1.2%
25.0 114
 
1.1%
23.1 88
 
0.9%
19.8 73
 
0.7%
30.0 71
 
0.7%
16.5 56
 
0.6%
66.0 50
 
0.5%
20.0 47
 
0.5%
Other values (3835) 7448
74.5%
(Missing) 1516
 
15.2%
ValueCountFrequency (%)
0.0 278
2.8%
1.56 2
 
< 0.1%
2.4 1
 
< 0.1%
3.23 1
 
< 0.1%
3.3 4
 
< 0.1%
4.0 2
 
< 0.1%
4.5 1
 
< 0.1%
5.0 1
 
< 0.1%
5.29 2
 
< 0.1%
5.5 1
 
< 0.1%
ValueCountFrequency (%)
3798.74 1
< 0.1%
3663.0 1
< 0.1%
1553.85 1
< 0.1%
1366.3 1
< 0.1%
1122.0 1
< 0.1%
1094.98 1
< 0.1%
1052.52 1
< 0.1%
990.0 1
< 0.1%
971.57 1
< 0.1%
963.07 1
< 0.1%

전통업소지정번호
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9930 
23
 
62
74
 
6
8
 
1
38
 
1

Length

Max length4
Median length4
Mean length3.9859
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9930
99.3%
23 62
 
0.6%
74 6
 
0.1%
8 1
 
< 0.1%
38 1
 
< 0.1%

Length

2024-05-11T15:55:32.653228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:55:32.866623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9930
99.3%
23 62
 
0.6%
74 6
 
0.1%
8 1
 
< 0.1%
38 1
 
< 0.1%

전통업소주된음식
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9914 
팔보채
 
62
한식
 
17
회초밥
 
6
01
 
1

Length

Max length4
Median length4
Mean length3.9896
Min length2

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> 9914
99.1%
팔보채 62
 
0.6%
한식 17
 
0.2%
회초밥 6
 
0.1%
01 1
 
< 0.1%

Length

2024-05-11T15:55:33.094630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:55:33.297097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9914
99.1%
팔보채 62
 
0.6%
한식 17
 
0.2%
회초밥 6
 
0.1%
01 1
 
< 0.1%

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
643631600003160000-101-1999-0755819990419<NA>3폐업2폐업20060907<NA><NA><NA>02 859875318.01152875서울특별시 구로구 구로동 781-25번지<NA><NA>이서방양념치킨2002-01-22 00:00:00I2018-08-31 23:59:59.0분식190147.334157442726.394271분식10기타자율<NA><NA><NA><NA><NA><NA><NA><NA><NA>N18.01<NA><NA><NA>
969731600003160000-101-2004-002862004-08-12<NA>1영업/정상1영업<NA><NA><NA><NA>02861 186933.00152-875서울특별시 구로구 구로동 781-25 풍성서울특별시 구로구 도림로12길 21, 풍성 가동 103호 (구로동)8372옥이네 포차2023-05-03 10:31:29U2022-12-05 00:05:00.0호프/통닭190147.334157442726.394271<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
255831600003160000-101-1991-0342219911105<NA>3폐업2폐업19930413<NA><NA><NA>020000000016.40152805서울특별시 구로구 개봉동 148-1번지<NA><NA>현원식당2002-01-16 00:00:00I2018-08-31 23:59:59.0분식186986.424819444098.277552분식00주택가주변상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N16.4<NA><NA><NA>
790231600003160000-101-2001-0935320010919<NA>3폐업2폐업20050205<NA><NA><NA>0226312072159.28152888서울특별시 구로구 신도림동 437-1번지<NA><NA>야미야미2002-01-23 00:00:00I2018-08-31 23:59:59.0한식189618.752905444921.078749한식24아파트지역자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N159.28<NA><NA><NA>
996831600003160000-101-2005-0005620050302<NA>3폐업2폐업20051213<NA><NA><NA>026679921815.00152050서울특별시 구로구 구로동 1258번지 중앙유통 B28-18<NA><NA>공주네분식2005-03-02 00:00:00I2018-08-31 23:59:59.0한식188840.515866444306.771105한식<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N15.0<NA><NA><NA>
1138131600003160000-101-2007-0049420071130<NA>3폐업2폐업20100401<NA><NA><NA>02 2111160439.53152725서울특별시 구로구 구로동 3-25번지 신도림테크노마트 지하1층 FC 004<NA><NA>일미2009-04-09 19:17:38I2018-08-31 23:59:59.0한식190232.524534444978.682746한식<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N39.53<NA><NA><NA>
1379131600003160000-101-2012-0032120121002<NA>3폐업2폐업20121007<NA><NA><NA><NA>25.00152050서울특별시 구로구 구로동 621-8번지 안양천 점프구로 축제 먹거리장터 내<NA><NA>소비자지킴이봉사단2012-10-10 17:13:23I2018-08-31 23:59:59.0한식188481.187123444200.017269한식<NA><NA><NA><NA>간이상수도<NA><NA><NA><NA><NA><NA><NA><NA>N25.0<NA><NA><NA>
942731600003160000-101-2004-0001520040112<NA>1영업/정상1영업<NA><NA><NA><NA>02 837821128.80152838서울특별시 구로구 구로동 8-17번지 103호서울특별시 구로구 새말로 89, 103호 (구로동)8288김밥세상2018-07-02 12:04:24I2018-08-31 23:59:59.0분식190188.145705444823.105868분식03<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N28.8<NA><NA><NA>
1029131600003160000-101-2005-0037920051013<NA>3폐업2폐업20091015<NA><NA><NA><NA><NA>152841서울특별시 구로구 구로동 97-3번지<NA><NA>돈씨네돈천하2005-10-13 00:00:00I2018-08-31 23:59:59.0한식190352.185129443799.91809한식<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
747931600003160000-101-2001-0889320010302<NA>3폐업2폐업20110921<NA><NA><NA>02 2619437559.40152826서울특별시 구로구 고척동 76-94번지<NA><NA>주당크럽2008-09-30 15:18:05I2018-08-31 23:59:59.0호프/통닭188176.565091444196.927356호프/통닭00기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N59.4<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
1810531600003160000-101-2022-0038620221122<NA>1영업/정상1영업<NA><NA><NA><NA><NA>27.94152803서울특별시 구로구 개봉동 66-32서울특별시 구로구 고척로 102, 1층 (개봉동)8266BBQ 개봉1동점2022-11-22 16:24:20I2021-10-31 22:04:00.0호프/통닭186267.419589444319.777694<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1364731600003160000-101-2012-0017720120613<NA>3폐업2폐업20130801<NA><NA><NA>023439795525.68152887서울특별시 구로구 신도림동 337번지 신도림1차푸르지오상가 161호서울특별시 구로구 경인로 661, 1층 161호 (신도림동, 신도림1차푸르지오상가)8208못난이 닭강정 신도림점2012-06-13 17:39:49I2018-08-31 23:59:59.0통닭(치킨)190005.1325445250.538869통닭(치킨)<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N25.68<NA><NA><NA>
1273331600003160000-101-2010-002842010-07-23<NA>1영업/정상1영업<NA><NA><NA><NA>02 866 415144.10152-800서울특별시 구로구 가리봉동 115-58 지상1층서울특별시 구로구 디지털로27길 75 (가리봉동, 지상1층)8383정가득 광주본가2024-04-15 11:09:37U2023-12-03 23:07:00.0한식190180.666208442436.747588<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
748931600003160000-101-2001-0890320010219<NA>3폐업2폐업20070430<NA><NA><NA>022634359750.10152866서울특별시 구로구 구로동 636-62번지 구로유통상가 A동 지하21호<NA><NA>고향식당2003-02-05 00:00:00I2018-08-31 23:59:59.0한식189134.15447444274.729874한식00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N50.1<NA><NA><NA>
1754531600003160000-101-2021-0028720210823<NA>1영업/정상1영업<NA><NA><NA><NA><NA>166.12152848서울특별시 구로구 구로동 188-25 지밸리비즈플라자서울특별시 구로구 디지털로 300, 지밸리비즈플라자 1층 104-2호, 105호 (구로동)8379제주 은희네 해장국 구로디지털단지점2021-08-23 15:31:24I2021-08-25 00:22:50.0한식190779.824681442527.527967한식00<NA><NA><NA>00000<NA>00N166.12<NA><NA><NA>
481131600003160000-101-1996-0237619960718<NA>3폐업2폐업19980526<NA><NA><NA>02 863929726.46152875서울특별시 구로구 구로동 792-46번지<NA><NA>상하이진탕수육2002-01-15 00:00:00I2018-08-31 23:59:59.0중국식190057.916469442643.901348중국식<NA>1주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N26.46<NA><NA><NA>
570631600003160000-101-1997-0747719970902<NA>3폐업2폐업19990323<NA><NA><NA>02 028.08152889서울특별시 구로구 오류동 6-45번지<NA><NA>진대수철판요리2002-01-16 00:00:00I2018-08-31 23:59:59.0분식185810.020894443626.394419분식00유흥업소밀집지역자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N28.08<NA><NA><NA>
50931600003160000-101-1983-0469319830510<NA>3폐업2폐업20000414<NA><NA><NA>0212.92152800서울특별시 구로구 가리봉동 89-165번지<NA><NA>만남의광장2000-04-14 00:00:00I2018-08-31 23:59:59.0분식190022.578768442489.645955분식10기타지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N12.92<NA><NA><NA>
1196031600003160000-101-2009-0003820090213<NA>3폐업2폐업20100909<NA><NA><NA><NA>26.32152840서울특별시 구로구 구로동 84-3번지 (새맛길15)지상1층<NA><NA>해물포차2009-02-13 17:13:08I2018-08-31 23:59:59.0정종/대포집/소주방190026.500277443557.088정종/대포집/소주방<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N26.32<NA><NA><NA>
1843531600003160000-101-2023-002772023-08-24<NA>3폐업2폐업2023-09-07<NA><NA><NA><NA>0.00152-706서울특별시 구로구 신도림동 692 디큐브시티서울특별시 구로구 경인로 662, 지하2층 (신도림동, 디큐브시티)8209텐미미(Tian mi mi)2023-09-08 04:15:09U2022-12-08 23:00:00.0기타190107.045415445157.626366<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>