Overview

Dataset statistics

Number of variables44
Number of observations46
Missing cells452
Missing cells (%)22.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.1 KiB
Average record size in memory379.9 B

Variable types

Categorical20
Text6
DateTime3
Unsupported8
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
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-18558/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총인원 is highly imbalanced (57.4%)Imbalance
본사종업원수 is highly imbalanced (57.4%)Imbalance
공장사무직종업원수 is highly imbalanced (57.4%)Imbalance
공장판매직종업원수 is highly imbalanced (57.4%)Imbalance
공장생산직종업원수 is highly imbalanced (57.4%)Imbalance
보증액 is highly imbalanced (57.4%)Imbalance
월세액 is highly imbalanced (57.4%)Imbalance
다중이용업소여부 is highly imbalanced (71.9%)Imbalance
인허가취소일자 has 46 (100.0%) missing valuesMissing
폐업일자 has 17 (37.0%) missing valuesMissing
휴업시작일자 has 46 (100.0%) missing valuesMissing
휴업종료일자 has 46 (100.0%) missing valuesMissing
재개업일자 has 46 (100.0%) missing valuesMissing
전화번호 has 5 (10.9%) missing valuesMissing
도로명주소 has 16 (34.8%) missing valuesMissing
도로명우편번호 has 16 (34.8%) missing valuesMissing
좌표정보(X) has 2 (4.3%) missing valuesMissing
좌표정보(Y) has 2 (4.3%) missing valuesMissing
여성종사자수 has 16 (34.8%) missing valuesMissing
건물소유구분명 has 46 (100.0%) missing valuesMissing
다중이용업소여부 has 5 (10.9%) missing valuesMissing
시설총규모 has 5 (10.9%) missing valuesMissing
전통업소지정번호 has 46 (100.0%) missing valuesMissing
전통업소주된음식 has 46 (100.0%) missing valuesMissing
홈페이지 has 46 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 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
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 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
여성종사자수 has 16 (34.8%) zerosZeros

Reproduction

Analysis started2024-04-06 12:28:04.925523
Analysis finished2024-04-06 12:28:06.157689
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
3060000
46 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3060000
2nd row3060000
3rd row3060000
4th row3060000
5th row3060000

Common Values

ValueCountFrequency (%)
3060000 46
100.0%

Length

2024-04-06T21:28:06.336822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:28:06.568911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 46
100.0%

관리번호
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-04-06T21:28:06.925295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters1012
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

Unique46 ?
Unique (%)100.0%

Sample

1st row3060000-102-1973-06646
2nd row3060000-102-1974-06638
3rd row3060000-102-1975-06641
4th row3060000-102-1977-06635
5th row3060000-102-1977-06640
ValueCountFrequency (%)
3060000-102-1973-06646 1
 
2.2%
3060000-102-2001-10108 1
 
2.2%
3060000-102-2011-00002 1
 
2.2%
3060000-102-2000-09389 1
 
2.2%
3060000-102-2000-09452 1
 
2.2%
3060000-102-2000-09512 1
 
2.2%
3060000-102-2000-09549 1
 
2.2%
3060000-102-2000-09591 1
 
2.2%
3060000-102-2001-09814 1
 
2.2%
3060000-102-2001-09825 1
 
2.2%
Other values (36) 36
78.3%
2024-04-06T21:28:07.835625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 410
40.5%
- 138
 
13.6%
1 100
 
9.9%
6 88
 
8.7%
2 82
 
8.1%
3 62
 
6.1%
9 59
 
5.8%
8 27
 
2.7%
7 21
 
2.1%
4 13
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 874
86.4%
Dash Punctuation 138
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 410
46.9%
1 100
 
11.4%
6 88
 
10.1%
2 82
 
9.4%
3 62
 
7.1%
9 59
 
6.8%
8 27
 
3.1%
7 21
 
2.4%
4 13
 
1.5%
5 12
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 138
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1012
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 410
40.5%
- 138
 
13.6%
1 100
 
9.9%
6 88
 
8.7%
2 82
 
8.1%
3 62
 
6.1%
9 59
 
5.8%
8 27
 
2.7%
7 21
 
2.1%
4 13
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1012
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 410
40.5%
- 138
 
13.6%
1 100
 
9.9%
6 88
 
8.7%
2 82
 
8.1%
3 62
 
6.1%
9 59
 
5.8%
8 27
 
2.7%
7 21
 
2.1%
4 13
 
1.3%

인허가일자
Date

Distinct45
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum1973-09-25 00:00:00
Maximum2015-04-28 00:00:00
2024-04-06T21:28:08.249423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:28:08.568666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
3
29 
1
17 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 29
63.0%
1 17
37.0%

Length

2024-04-06T21:28:08.877531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:28:09.077719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 29
63.0%
1 17
37.0%

영업상태명
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
폐업
29 
영업/정상
17 

Length

Max length5
Median length2
Mean length3.1086957
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 29
63.0%
영업/정상 17
37.0%

Length

2024-04-06T21:28:09.334998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:28:09.554223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 29
63.0%
영업/정상 17
37.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
2
29 
1
17 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 29
63.0%
1 17
37.0%

Length

2024-04-06T21:28:09.824542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:28:10.063949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 29
63.0%
1 17
37.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
폐업
29 
영업
17 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 29
63.0%
영업 17
37.0%

Length

2024-04-06T21:28:10.340220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:28:10.530892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 29
63.0%
영업 17
37.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing17
Missing (%)37.0%
Infinite0
Infinite (%)0.0%
Mean20106411
Minimum19930226
Maximum20220715
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-04-06T21:28:10.802901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19930226
5-th percentile19960543
Q120050922
median20110308
Q320181217
95-th percentile20220374
Maximum20220715
Range290489
Interquartile range (IQR)130295

Descriptive statistics

Standard deviation86117.97
Coefficient of variation (CV)0.00428311
Kurtosis-0.76992502
Mean20106411
Median Absolute Deviation (MAD)70092
Skewness-0.41827962
Sum5.8308592 × 108
Variance7.4163048 × 109
MonotonicityNot monotonic
2024-04-06T21:28:11.058747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
20170602 1
 
2.2%
20181217 1
 
2.2%
20180315 1
 
2.2%
20130717 1
 
2.2%
20110308 1
 
2.2%
20110812 1
 
2.2%
20220715 1
 
2.2%
20220318 1
 
2.2%
20190529 1
 
2.2%
20190429 1
 
2.2%
Other values (19) 19
41.3%
(Missing) 17
37.0%
ValueCountFrequency (%)
19930226 1
2.2%
19940304 1
2.2%
19990901 1
2.2%
19991108 1
2.2%
20000724 1
2.2%
20010402 1
2.2%
20040216 1
2.2%
20050922 1
2.2%
20070205 1
2.2%
20070403 1
2.2%
ValueCountFrequency (%)
20220715 1
2.2%
20220412 1
2.2%
20220318 1
2.2%
20210222 1
2.2%
20200528 1
2.2%
20190529 1
2.2%
20190429 1
2.2%
20181217 1
2.2%
20180315 1
2.2%
20170602 1
2.2%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

전화번호
Text

MISSING 

Distinct40
Distinct (%)97.6%
Missing5
Missing (%)10.9%
Memory size500.0 B
2024-04-06T21:28:11.500361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.902439
Min length2

Characters and Unicode

Total characters406
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

Unique39 ?
Unique (%)95.1%

Sample

1st row02 2070775
2nd row02 9730505
3rd row02 4370556
4th row02 4917760
5th row0204958554
ValueCountFrequency (%)
02 33
41.8%
494 2
 
2.5%
9712585 1
 
1.3%
4353799 1
 
1.3%
4389639 1
 
1.3%
4949955 1
 
1.3%
493 1
 
1.3%
538 1
 
1.3%
4343823 1
 
1.3%
2070775 1
 
1.3%
Other values (36) 36
45.6%
2024-04-06T21:28:12.104217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 72
17.7%
2 65
16.0%
4 44
10.8%
43
10.6%
9 36
8.9%
7 33
8.1%
3 31
7.6%
5 30
7.4%
6 21
 
5.2%
8 16
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 363
89.4%
Space Separator 43
 
10.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 72
19.8%
2 65
17.9%
4 44
12.1%
9 36
9.9%
7 33
9.1%
3 31
8.5%
5 30
8.3%
6 21
 
5.8%
8 16
 
4.4%
1 15
 
4.1%
Space Separator
ValueCountFrequency (%)
43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 406
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 72
17.7%
2 65
16.0%
4 44
10.8%
43
10.6%
9 36
8.9%
7 33
8.1%
3 31
7.6%
5 30
7.4%
6 21
 
5.2%
8 16
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 406
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 72
17.7%
2 65
16.0%
4 44
10.8%
43
10.6%
9 36
8.9%
7 33
8.1%
3 31
7.6%
5 30
7.4%
6 21
 
5.2%
8 16
 
3.9%

소재지면적
Text

Distinct45
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-04-06T21:28:12.483645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.8043478
Min length5

Characters and Unicode

Total characters267
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

Unique44 ?
Unique (%)95.7%

Sample

1st row77.80
2nd row143.81
3rd row139.36
4th row92.36
5th row74.25
ValueCountFrequency (%)
52.06 2
 
4.3%
54.12 1
 
2.2%
202.82 1
 
2.2%
124.46 1
 
2.2%
62.83 1
 
2.2%
131.17 1
 
2.2%
326.81 1
 
2.2%
44.02 1
 
2.2%
71.76 1
 
2.2%
95.83 1
 
2.2%
Other values (35) 35
76.1%
2024-04-06T21:28:13.132753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 46
17.2%
2 35
13.1%
1 35
13.1%
8 26
9.7%
0 23
8.6%
6 22
8.2%
4 19
7.1%
3 18
 
6.7%
5 16
 
6.0%
9 13
 
4.9%
Other values (2) 14
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 218
81.6%
Other Punctuation 49
 
18.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 35
16.1%
1 35
16.1%
8 26
11.9%
0 23
10.6%
6 22
10.1%
4 19
8.7%
3 18
8.3%
5 16
7.3%
9 13
 
6.0%
7 11
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 46
93.9%
, 3
 
6.1%

Most occurring scripts

ValueCountFrequency (%)
Common 267
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 46
17.2%
2 35
13.1%
1 35
13.1%
8 26
9.7%
0 23
8.6%
6 22
8.2%
4 19
7.1%
3 18
 
6.7%
5 16
 
6.0%
9 13
 
4.9%
Other values (2) 14
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 267
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 46
17.2%
2 35
13.1%
1 35
13.1%
8 26
9.7%
0 23
8.6%
6 22
8.2%
4 19
7.1%
3 18
 
6.7%
5 16
 
6.0%
9 13
 
4.9%
Other values (2) 14
 
5.2%

소재지우편번호
Categorical

Distinct13
Distinct (%)28.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
131859
17 
131848
5 
131858
5 
131810
4 
131851
3 
Other values (8)
12 

Length

Max length7
Median length6
Mean length6.0217391
Min length6

Unique

Unique5 ?
Unique (%)10.9%

Sample

1st row131860
2nd row131851
3rd row131860
4th row131859
5th row131859

Common Values

ValueCountFrequency (%)
131859 17
37.0%
131848 5
 
10.9%
131858 5
 
10.9%
131810 4
 
8.7%
131851 3
 
6.5%
131831 3
 
6.5%
131860 2
 
4.3%
131809 2
 
4.3%
131815 1
 
2.2%
131853 1
 
2.2%
Other values (3) 3
 
6.5%

Length

2024-04-06T21:28:13.477276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
131859 17
37.0%
131848 5
 
10.9%
131858 5
 
10.9%
131810 4
 
8.7%
131851 3
 
6.5%
131831 3
 
6.5%
131860 2
 
4.3%
131809 2
 
4.3%
131815 1
 
2.2%
131853 1
 
2.2%
Other values (3) 3
 
6.5%

지번주소
Text

Distinct40
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-04-06T21:28:13.832160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length21.217391
Min length18

Characters and Unicode

Total characters976
Distinct characters31
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)76.1%

Sample

1st row서울특별시 중랑구 상봉동 118-0번지
2nd row서울특별시 중랑구 묵동 238-13번지
3rd row서울특별시 중랑구 상봉동 115-21번지
4th row서울특별시 중랑구 상봉동 106-24
5th row서울특별시 중랑구 상봉동 107-43번지
ValueCountFrequency (%)
서울특별시 46
24.7%
중랑구 46
24.7%
상봉동 25
13.4%
묵동 10
 
5.4%
망우동 6
 
3.2%
면목동 5
 
2.7%
89-1번지 4
 
2.2%
88-92번지 3
 
1.6%
89-41번지 2
 
1.1%
5층 2
 
1.1%
Other values (36) 37
19.9%
2024-04-06T21:28:14.543551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
181
18.5%
서 46
 
4.7%
특 46
 
4.7%
별 46
 
4.7%
시 46
 
4.7%
중 46
 
4.7%
랑 46
 
4.7%
구 46
 
4.7%
동 46
 
4.7%
울 46
 
4.7%
Other values (21) 381
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 566
58.0%
Decimal Number 184
 
18.9%
Space Separator 181
 
18.5%
Dash Punctuation 45
 
4.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 46
 
8.1%
특 46
 
8.1%
별 46
 
8.1%
시 46
 
8.1%
중 46
 
8.1%
랑 46
 
8.1%
구 46
 
8.1%
동 46
 
8.1%
울 46
 
8.1%
번 34
 
6.0%
Other values (9) 118
20.8%
Decimal Number
ValueCountFrequency (%)
1 40
21.7%
9 24
13.0%
8 24
13.0%
2 18
9.8%
0 17
9.2%
4 15
 
8.2%
6 15
 
8.2%
5 14
 
7.6%
7 9
 
4.9%
3 8
 
4.3%
Space Separator
ValueCountFrequency (%)
181
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 566
58.0%
Common 410
42.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 46
 
8.1%
특 46
 
8.1%
별 46
 
8.1%
시 46
 
8.1%
중 46
 
8.1%
랑 46
 
8.1%
구 46
 
8.1%
동 46
 
8.1%
울 46
 
8.1%
번 34
 
6.0%
Other values (9) 118
20.8%
Common
ValueCountFrequency (%)
181
44.1%
- 45
 
11.0%
1 40
 
9.8%
9 24
 
5.9%
8 24
 
5.9%
2 18
 
4.4%
0 17
 
4.1%
4 15
 
3.7%
6 15
 
3.7%
5 14
 
3.4%
Other values (2) 17
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 566
58.0%
ASCII 410
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
181
44.1%
- 45
 
11.0%
1 40
 
9.8%
9 24
 
5.9%
8 24
 
5.9%
2 18
 
4.4%
0 17
 
4.1%
4 15
 
3.7%
6 15
 
3.7%
5 14
 
3.4%
Other values (2) 17
 
4.1%
Hangul
ValueCountFrequency (%)
서 46
 
8.1%
특 46
 
8.1%
별 46
 
8.1%
시 46
 
8.1%
중 46
 
8.1%
랑 46
 
8.1%
구 46
 
8.1%
동 46
 
8.1%
울 46
 
8.1%
번 34
 
6.0%
Other values (9) 118
20.8%

도로명주소
Text

MISSING 

Distinct28
Distinct (%)93.3%
Missing16
Missing (%)34.8%
Memory size500.0 B
2024-04-06T21:28:14.992488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29.5
Mean length24.566667
Min length22

Characters and Unicode

Total characters737
Distinct characters42
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)86.7%

Sample

1st row서울특별시 중랑구 동일로 917 (묵동)
2nd row서울특별시 중랑구 봉우재로 127 (상봉동)
3rd row서울특별시 중랑구 동일로 920 (묵동)
4th row서울특별시 중랑구 겸재로 218 (면목동)
5th row서울특별시 중랑구 동일로 923 (묵동)
ValueCountFrequency (%)
서울특별시 30
19.5%
중랑구 30
19.5%
상봉동 17
11.0%
망우로50길 8
 
5.2%
묵동 6
 
3.9%
망우로 5
 
3.2%
면목동 5
 
3.2%
동일로 5
 
3.2%
15 4
 
2.6%
봉우재로33길 4
 
2.6%
Other values (34) 40
26.0%
2024-04-06T21:28:15.831209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
124
 
16.8%
동 35
 
4.7%
중 31
 
4.2%
랑 31
 
4.2%
서 30
 
4.1%
( 30
 
4.1%
특 30
 
4.1%
별 30
 
4.1%
시 30
 
4.1%
구 30
 
4.1%
Other values (32) 336
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 442
60.0%
Space Separator 124
 
16.8%
Decimal Number 107
 
14.5%
Open Punctuation 30
 
4.1%
Close Punctuation 30
 
4.1%
Other Punctuation 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 35
 
7.9%
중 31
 
7.0%
랑 31
 
7.0%
서 30
 
6.8%
특 30
 
6.8%
별 30
 
6.8%
시 30
 
6.8%
구 30
 
6.8%
울 30
 
6.8%
로 30
 
6.8%
Other values (18) 135
30.5%
Decimal Number
ValueCountFrequency (%)
3 23
21.5%
5 17
15.9%
2 13
12.1%
1 12
11.2%
0 10
9.3%
7 9
 
8.4%
8 8
 
7.5%
9 8
 
7.5%
6 4
 
3.7%
4 3
 
2.8%
Space Separator
ValueCountFrequency (%)
124
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 442
60.0%
Common 295
40.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 35
 
7.9%
중 31
 
7.0%
랑 31
 
7.0%
서 30
 
6.8%
특 30
 
6.8%
별 30
 
6.8%
시 30
 
6.8%
구 30
 
6.8%
울 30
 
6.8%
로 30
 
6.8%
Other values (18) 135
30.5%
Common
ValueCountFrequency (%)
124
42.0%
( 30
 
10.2%
) 30
 
10.2%
3 23
 
7.8%
5 17
 
5.8%
2 13
 
4.4%
1 12
 
4.1%
0 10
 
3.4%
7 9
 
3.1%
8 8
 
2.7%
Other values (4) 19
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 442
60.0%
ASCII 295
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
124
42.0%
( 30
 
10.2%
) 30
 
10.2%
3 23
 
7.8%
5 17
 
5.8%
2 13
 
4.4%
1 12
 
4.1%
0 10
 
3.4%
7 9
 
3.1%
8 8
 
2.7%
Other values (4) 19
 
6.4%
Hangul
ValueCountFrequency (%)
동 35
 
7.9%
중 31
 
7.0%
랑 31
 
7.0%
서 30
 
6.8%
특 30
 
6.8%
별 30
 
6.8%
시 30
 
6.8%
구 30
 
6.8%
울 30
 
6.8%
로 30
 
6.8%
Other values (18) 135
30.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)36.7%
Missing16
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean2137.6333
Minimum2005
Maximum2249
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-04-06T21:28:16.247099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2005
5-th percentile2007.25
Q12149
median2149
Q32152.5
95-th percentile2228
Maximum2249
Range244
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation65.934389
Coefficient of variation (CV)0.030844574
Kurtosis0.17251555
Mean2137.6333
Median Absolute Deviation (MAD)1
Skewness-0.76295406
Sum64129
Variance4347.3437
MonotonicityNot monotonic
2024-04-06T21:28:16.489025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2149 15
32.6%
2228 3
 
6.5%
2005 2
 
4.3%
2033 2
 
4.3%
2163 2
 
4.3%
2153 1
 
2.2%
2199 1
 
2.2%
2010 1
 
2.2%
2046 1
 
2.2%
2151 1
 
2.2%
(Missing) 16
34.8%
ValueCountFrequency (%)
2005 2
 
4.3%
2010 1
 
2.2%
2033 2
 
4.3%
2046 1
 
2.2%
2149 15
32.6%
2151 1
 
2.2%
2153 1
 
2.2%
2163 2
 
4.3%
2199 1
 
2.2%
2228 3
 
6.5%
ValueCountFrequency (%)
2249 1
 
2.2%
2228 3
 
6.5%
2199 1
 
2.2%
2163 2
 
4.3%
2153 1
 
2.2%
2151 1
 
2.2%
2149 15
32.6%
2046 1
 
2.2%
2033 2
 
4.3%
2010 1
 
2.2%

사업장명
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-04-06T21:28:16.922917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7
Mean length5.0652174
Min length1

Characters and Unicode

Total characters233
Distinct characters106
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)100.0%

Sample

1st row아리랑
2nd row일번지스텐드바
3rd row크로바
4th row우리
5th row기라성
ValueCountFrequency (%)
아리랑 1
 
2.0%
와와 1
 
2.0%
명인 1
 
2.0%
타임노래주점 1
 
2.0%
시네마룸 1
 
2.0%
아람룸싸롱 1
 
2.0%
낙원 1
 
2.0%
탈랜트노래장 1
 
2.0%
더블유플러스(w 1
 
2.0%
꽃길노래장 1
 
2.0%
Other values (39) 39
79.6%
2024-04-06T21:28:17.608672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
노 9
 
3.9%
래 9
 
3.9%
점 8
 
3.4%
주 8
 
3.4%
트 7
 
3.0%
스 7
 
3.0%
인 6
 
2.6%
바 6
 
2.6%
나 6
 
2.6%
관 6
 
2.6%
Other values (96) 161
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 226
97.0%
Space Separator 3
 
1.3%
Open Punctuation 1
 
0.4%
Uppercase Letter 1
 
0.4%
Math Symbol 1
 
0.4%
Close Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
노 9
 
4.0%
래 9
 
4.0%
점 8
 
3.5%
주 8
 
3.5%
트 7
 
3.1%
스 7
 
3.1%
인 6
 
2.7%
바 6
 
2.7%
나 6
 
2.7%
관 6
 
2.7%
Other values (91) 154
68.1%
Space Separator
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
W 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 226
97.0%
Common 6
 
2.6%
Latin 1
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
노 9
 
4.0%
래 9
 
4.0%
점 8
 
3.5%
주 8
 
3.5%
트 7
 
3.1%
스 7
 
3.1%
인 6
 
2.7%
바 6
 
2.7%
나 6
 
2.7%
관 6
 
2.7%
Other values (91) 154
68.1%
Common
ValueCountFrequency (%)
3
50.0%
( 1
 
16.7%
+ 1
 
16.7%
) 1
 
16.7%
Latin
ValueCountFrequency (%)
W 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 226
97.0%
ASCII 7
 
3.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
노 9
 
4.0%
래 9
 
4.0%
점 8
 
3.5%
주 8
 
3.5%
트 7
 
3.1%
스 7
 
3.1%
인 6
 
2.7%
바 6
 
2.7%
나 6
 
2.7%
관 6
 
2.7%
Other values (91) 154
68.1%
ASCII
ValueCountFrequency (%)
3
42.9%
( 1
 
14.3%
W 1
 
14.3%
+ 1
 
14.3%
) 1
 
14.3%

최종수정일자
Date

Distinct45
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum1999-09-01 00:00:00
Maximum2023-03-23 16:55:14
2024-04-06T21:28:17.869101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:28:18.142676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
I
28 
U
18 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 28
60.9%
U 18
39.1%

Length

2024-04-06T21:28:18.413633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:28:18.615715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 28
60.9%
u 18
39.1%

데이터갱신일자
Date

Distinct19
Distinct (%)41.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-02 22:05:00
2024-04-06T21:28:18.791651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:28:19.082002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

업태구분명
Categorical

Distinct5
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size500.0 B
룸살롱
28 
스텐드바
5 
카바레
5 
비어(바)살롱
4 
고고(디스코)클럽
4 

Length

Max length9
Median length3
Mean length3.9782609
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row룸살롱
2nd row비어(바)살롱
3rd row룸살롱
4th row스텐드바
5th row비어(바)살롱

Common Values

ValueCountFrequency (%)
룸살롱 28
60.9%
스텐드바 5
 
10.9%
카바레 5
 
10.9%
비어(바)살롱 4
 
8.7%
고고(디스코)클럽 4
 
8.7%

Length

2024-04-06T21:28:19.826616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:28:20.088727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
룸살롱 28
60.9%
스텐드바 5
 
10.9%
카바레 5
 
10.9%
비어(바)살롱 4
 
8.7%
고고(디스코)클럽 4
 
8.7%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)75.0%
Missing2
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean207634.15
Minimum206712.65
Maximum208412.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-04-06T21:28:20.371236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206712.65
5-th percentile206743.48
Q1207578.93
median207785.16
Q3207832.96
95-th percentile208237.35
Maximum208412.52
Range1699.8726
Interquartile range (IQR)254.03724

Descriptive statistics

Standard deviation466.14147
Coefficient of variation (CV)0.0022450135
Kurtosis-0.12159858
Mean207634.15
Median Absolute Deviation (MAD)115.72846
Skewness-0.86229909
Sum9135902.7
Variance217287.87
MonotonicityNot monotonic
2024-04-06T21:28:20.678525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
207807.657649212 4
 
8.7%
207759.193444531 3
 
6.5%
207830.388148879 3
 
6.5%
206774.874230196 2
 
4.3%
207854.643035506 2
 
4.3%
207785.163886948 2
 
4.3%
207834.387336827 2
 
4.3%
206718.673280218 1
 
2.2%
206821.108967706 1
 
2.2%
208172.817072963 1
 
2.2%
Other values (23) 23
50.0%
(Missing) 2
 
4.3%
ValueCountFrequency (%)
206712.645739265 1
2.2%
206718.673280218 1
2.2%
206737.943620437 1
2.2%
206774.874230196 2
4.3%
206780.207620819 1
2.2%
206821.108967706 1
2.2%
206893.453885004 1
2.2%
207231.299357379 1
2.2%
207249.321744234 1
2.2%
207556.321196171 1
2.2%
ValueCountFrequency (%)
208412.518361505 1
2.2%
208283.960442784 1
2.2%
208242.880932415 1
2.2%
208205.998227063 1
2.2%
208172.817072963 1
2.2%
208148.727690348 1
2.2%
208048.384873167 1
2.2%
207854.643035506 2
4.3%
207834.387336827 2
4.3%
207832.489494328 1
2.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)75.0%
Missing2
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean455024.16
Minimum453107.13
Maximum457011.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-04-06T21:28:21.022146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum453107.13
5-th percentile453198.12
Q1454789.52
median454906.6
Q3455059.68
95-th percentile456736.43
Maximum457011.63
Range3904.5019
Interquartile range (IQR)270.15528

Descriptive statistics

Standard deviation927.44834
Coefficient of variation (CV)0.0020382398
Kurtosis0.87122289
Mean455024.16
Median Absolute Deviation (MAD)126.35329
Skewness0.31980806
Sum20021063
Variance860160.42
MonotonicityNot monotonic
2024-04-06T21:28:21.349588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
454906.600906178 4
 
8.7%
454943.982853578 3
 
6.5%
454776.182018032 3
 
6.5%
457011.632629502 2
 
4.3%
454836.110200806 2
 
4.3%
454948.667169479 2
 
4.3%
454817.839704855 2
 
4.3%
456725.062277459 1
 
2.2%
456096.359567266 1
 
2.2%
454822.951740457 1
 
2.2%
Other values (23) 23
50.0%
(Missing) 2
 
4.3%
ValueCountFrequency (%)
453107.130727702 1
 
2.2%
453195.099791881 1
 
2.2%
453197.965799648 1
 
2.2%
453198.991625791 1
 
2.2%
454093.095200938 1
 
2.2%
454526.197135492 1
 
2.2%
454686.222648623 1
 
2.2%
454776.182018032 3
6.5%
454784.313223885 1
 
2.2%
454791.25900876 1
 
2.2%
ValueCountFrequency (%)
457011.632629502 2
4.3%
456738.441211434 1
2.2%
456725.062277459 1
2.2%
456698.48946494 1
2.2%
456656.063250857 1
2.2%
456096.359567266 1
2.2%
456018.381745604 1
2.2%
455150.732784602 1
2.2%
455095.012471779 1
2.2%
455089.30701884 1
2.2%

위생업태명
Categorical

Distinct6
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
룸살롱
24 
<NA>
5 
카바레
5 
비어(바)살롱
4 
스텐드바
4 

Length

Max length9
Median length3
Mean length4.0652174
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row룸살롱
2nd row비어(바)살롱
3rd row룸살롱
4th row스텐드바
5th row비어(바)살롱

Common Values

ValueCountFrequency (%)
룸살롱 24
52.2%
<NA> 5
 
10.9%
카바레 5
 
10.9%
비어(바)살롱 4
 
8.7%
스텐드바 4
 
8.7%
고고(디스코)클럽 4
 
8.7%

Length

2024-04-06T21:28:21.684629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:28:21.930806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
룸살롱 24
52.2%
na 5
 
10.9%
카바레 5
 
10.9%
비어(바)살롱 4
 
8.7%
스텐드바 4
 
8.7%
고고(디스코)클럽 4
 
8.7%

남성종사자수
Categorical

Distinct5
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size500.0 B
0
16 
<NA>
16 
2
6 
1
6 
3
2 

Length

Max length4
Median length1
Mean length2.0434783
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 16
34.8%
<NA> 16
34.8%
2 6
 
13.0%
1 6
 
13.0%
3 2
 
4.3%

Length

2024-04-06T21:28:22.239321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:28:22.512478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 16
34.8%
na 16
34.8%
2 6
 
13.0%
1 6
 
13.0%
3 2
 
4.3%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)20.0%
Missing16
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean4.1666667
Minimum0
Maximum93
Zeros16
Zeros (%)34.8%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-04-06T21:28:22.749745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile7.3
Maximum93
Range93
Interquartile range (IQR)2

Descriptive statistics

Standard deviation16.893344
Coefficient of variation (CV)4.0544025
Kurtosis29.100403
Mean4.1666667
Median Absolute Deviation (MAD)0
Skewness5.3632593
Sum125
Variance285.38506
MonotonicityNot monotonic
2024-04-06T21:28:23.011381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 16
34.8%
2 7
15.2%
1 4
 
8.7%
93 1
 
2.2%
10 1
 
2.2%
4 1
 
2.2%
(Missing) 16
34.8%
ValueCountFrequency (%)
0 16
34.8%
1 4
 
8.7%
2 7
15.2%
4 1
 
2.2%
10 1
 
2.2%
93 1
 
2.2%
ValueCountFrequency (%)
93 1
 
2.2%
10 1
 
2.2%
4 1
 
2.2%
2 7
15.2%
1 4
 
8.7%
0 16
34.8%

영업장주변구분명
Categorical

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
18 
유흥업소밀집지역
15 
기타
8 
주택가주변
5 

Length

Max length8
Median length5
Mean length5.0652174
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 18
39.1%
유흥업소밀집지역 15
32.6%
기타 8
17.4%
주택가주변 5
 
10.9%

Length

2024-04-06T21:28:23.383429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:28:23.618794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
39.1%
유흥업소밀집지역 15
32.6%
기타 8
17.4%
주택가주변 5
 
10.9%

등급구분명
Categorical

Distinct6
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
23 
기타
11 
자율
4 
을
3 
지도
3 

Length

Max length4
Median length3
Mean length2.8913043
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
50.0%
기타 11
23.9%
자율 4
 
8.7%
을 3
 
6.5%
지도 3
 
6.5%
갑 2
 
4.3%

Length

2024-04-06T21:28:23.880708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:28:24.125512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
50.0%
기타 11
23.9%
자율 4
 
8.7%
을 3
 
6.5%
지도 3
 
6.5%
갑 2
 
4.3%

급수시설구분명
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
상수도전용
27 
<NA>
19 

Length

Max length5
Median length5
Mean length4.5869565
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 27
58.7%
<NA> 19
41.3%

Length

2024-04-06T21:28:24.363667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:28:24.623516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 27
58.7%
na 19
41.3%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
0
 
4

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 42
91.3%
0 4
 
8.7%

Length

2024-04-06T21:28:24.852965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:28:25.054943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
0 4
 
8.7%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
0
 
4

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 42
91.3%
0 4
 
8.7%

Length

2024-04-06T21:28:25.249886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:28:25.450744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
0 4
 
8.7%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
0
 
4

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 42
91.3%
0 4
 
8.7%

Length

2024-04-06T21:28:25.670079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:28:25.904553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
0 4
 
8.7%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
0
 
4

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 42
91.3%
0 4
 
8.7%

Length

2024-04-06T21:28:26.205482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:28:26.407707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
0 4
 
8.7%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
0
 
4

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 42
91.3%
0 4
 
8.7%

Length

2024-04-06T21:28:26.655724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:28:26.873913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
0 4
 
8.7%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
0
 
4

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 42
91.3%
0 4
 
8.7%

Length

2024-04-06T21:28:27.185534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:28:27.379726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
0 4
 
8.7%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
0
 
4

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 42
91.3%
0 4
 
8.7%

Length

2024-04-06T21:28:27.577743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:28:27.767248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
0 4
 
8.7%

다중이용업소여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)4.9%
Missing5
Missing (%)10.9%
Memory size224.0 B
False
39 
True
 
2
(Missing)
5 
ValueCountFrequency (%)
False 39
84.8%
True 2
 
4.3%
(Missing) 5
 
10.9%
2024-04-06T21:28:28.093075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)97.6%
Missing5
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean268.47098
Minimum44.02
Maximum2261.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-04-06T21:28:28.371171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44.02
5-th percentile52.06
Q177.8
median143.81
Q3252
95-th percentile1034.75
Maximum2261.68
Range2217.66
Interquartile range (IQR)174.2

Descriptive statistics

Standard deviation409.88405
Coefficient of variation (CV)1.526735
Kurtosis14.659644
Mean268.47098
Median Absolute Deviation (MAD)72.05
Skewness3.6277129
Sum11007.31
Variance168004.93
MonotonicityNot monotonic
2024-04-06T21:28:28.643511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
52.06 2
 
4.3%
139.36 1
 
2.2%
121.89 1
 
2.2%
124.46 1
 
2.2%
62.83 1
 
2.2%
131.17 1
 
2.2%
326.81 1
 
2.2%
44.02 1
 
2.2%
71.76 1
 
2.2%
95.83 1
 
2.2%
Other values (30) 30
65.2%
(Missing) 5
 
10.9%
ValueCountFrequency (%)
44.02 1
2.2%
50.89 1
2.2%
52.06 2
4.3%
54.12 1
2.2%
62.5 1
2.2%
62.83 1
2.2%
64.8 1
2.2%
71.76 1
2.2%
74.25 1
2.2%
77.8 1
2.2%
ValueCountFrequency (%)
2261.68 1
2.2%
1302.33 1
2.2%
1034.75 1
2.2%
821.46 1
2.2%
389.12 1
2.2%
326.81 1
2.2%
289.08 1
2.2%
274.54 1
2.2%
262.89 1
2.2%
257.28 1
2.2%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

Sample

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730600003060000-102-1979-0663319791224<NA>3폐업2폐업20220412<NA><NA><NA>0204387921106.29131815서울특별시 중랑구 면목동 72-57서울특별시 중랑구 겸재로 218 (면목동)2199바덴바덴2022-04-12 13:52:17U2021-12-03 23:04:00.0스텐드바208048.384873454093.095201<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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930600003060000-102-1979-0663919790921<NA>3폐업2폐업20050922<NA><NA><NA>02 9752397156.36131848서울특별시 중랑구 묵동 170-25번지<NA><NA>무랑루즈성인주점2002-03-13 00:00:00I2018-08-31 23:59:59.0스텐드바<NA><NA>스텐드바310주택가주변을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N156.36<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
3630600003060000-102-2002-0000120020111<NA>3폐업2폐업20220318<NA><NA><NA>02 433117950.89131831서울특별시 중랑구 면목동 604-7서울특별시 중랑구 사가정로 381 (면목동)2228포인트2022-03-18 10:11:13U2022-03-20 02:40:00.0룸살롱207616.235692453197.9658룸살롱00유흥업소밀집지역<NA><NA>00000<NA>00N50.89<NA><NA><NA>
3730600003060000-102-2002-0000220020404<NA>1영업/정상1영업<NA><NA><NA><NA>02 4338727218.21131858서울특별시 중랑구 상봉동 92-2서울특별시 중랑구 망우로 328 (상봉동)2149준코뮤직타운 상봉점2022-06-29 17:52:25U2021-12-07 00:02:00.0룸살롱207785.163887454948.667169<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3830600003060000-102-2003-0000120030812<NA>3폐업2폐업20220715<NA><NA><NA>02 432 2251146.40131859서울특별시 중랑구 상봉동 90-1서울특별시 중랑구 망우로50길 18 (상봉동)2149토마토2022-07-15 14:18:28U2021-12-06 23:07:00.0룸살롱207775.957126454896.851904<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3930600003060000-102-2005-0000120051230<NA>3폐업2폐업20110812<NA><NA><NA>02329609322,261.68131848서울특별시 중랑구 묵동 165번지<NA><NA>헤라나이트2009-12-17 10:51:45I2018-08-31 23:59:59.0고고(디스코)클럽206774.87423457011.63263고고(디스코)클럽<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N2261.68<NA><NA><NA>
4030600003060000-102-2007-0000120070124<NA>3폐업2폐업20110308<NA><NA><NA>02 4344874158.86131809서울특별시 중랑구 망우동 506-8번지<NA><NA>포인트노래주점2008-04-24 10:20:52I2018-08-31 23:59:59.0룸살롱208172.817073454822.95174룸살롱00기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N158.86<NA><NA><NA>
4130600003060000-102-2007-000022007-06-13<NA>1영업/정상1영업<NA><NA><NA><NA><NA>57.15131-859서울특별시 중랑구 상봉동 89-17서울특별시 중랑구 봉우재로33길 79 (상봉동, 3층)2149수2023-03-23 16:55:14U2022-12-02 22:05:00.0룸살롱207834.387337454817.839705<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4230600003060000-102-2008-0000120081113<NA>1영업/정상1영업<NA><NA><NA><NA>02 22075586274.54131859서울특별시 중랑구 상봉동 89-1번지서울특별시 중랑구 망우로50길 15 (상봉동, 3층)2149알라딘룸비지니스클럽2018-08-01 09:46:32I2018-08-31 23:59:59.0룸살롱207807.657649454906.600906룸살롱00기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N274.54<NA><NA><NA>
4330600003060000-102-2011-0000120111128<NA>3폐업2폐업20130717<NA><NA><NA>02 494 4747237.18131859서울특별시 중랑구 상봉동 89-1번지 5층서울특별시 중랑구 망우로50길 15, 5층 (상봉동)2149올림픽스텐드바2012-08-23 10:48:51I2018-08-31 23:59:59.0스텐드바207807.657649454906.600906스텐드바<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N237.18<NA><NA><NA>
4430600003060000-102-2011-0000220111202<NA>3폐업2폐업20180315<NA><NA><NA>070 8158665762.50131859서울특별시 중랑구 상봉동 89-41번지서울특별시 중랑구 봉우재로33길 85, 지하1층 (상봉동)2149명인2018-03-15 13:06:59I2018-08-31 23:59:59.0룸살롱207854.643036454836.110201룸살롱<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N62.5<NA><NA><NA>
4530600003060000-102-2015-0000120150428<NA>3폐업2폐업20181217<NA><NA><NA><NA>257.28131859서울특별시 중랑구 상봉동 89-1번지 5층서울특별시 중랑구 망우로50길 15 (상봉동)2149무랑르즈2018-12-18 16:37:53U2018-12-20 02:40:00.0스텐드바207807.657649454906.600906스텐드바<NA><NA>기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N257.28<NA><NA><NA>