Overview

Dataset statistics

Number of variables44
Number of observations31
Missing cells532
Missing cells (%)39.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.5 KiB
Average record size in memory381.3 B

Variable types

Categorical14
Text6
DateTime4
Unsupported15
Numeric4
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
Author도봉구
URLhttps://data.seoul.go.kr/dataList/OA-18561/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 31 (100.0%) missing valuesMissing
폐업일자 has 19 (61.3%) missing valuesMissing
휴업시작일자 has 31 (100.0%) missing valuesMissing
휴업종료일자 has 31 (100.0%) missing valuesMissing
재개업일자 has 31 (100.0%) missing valuesMissing
전화번호 has 4 (12.9%) missing valuesMissing
도로명주소 has 5 (16.1%) missing valuesMissing
등급구분명 has 25 (80.6%) missing valuesMissing
총인원 has 31 (100.0%) missing valuesMissing
본사종업원수 has 31 (100.0%) missing valuesMissing
공장사무직종업원수 has 31 (100.0%) missing valuesMissing
공장판매직종업원수 has 31 (100.0%) missing valuesMissing
공장생산직종업원수 has 31 (100.0%) missing valuesMissing
건물소유구분명 has 31 (100.0%) missing valuesMissing
보증액 has 31 (100.0%) missing valuesMissing
월세액 has 31 (100.0%) missing valuesMissing
다중이용업소여부 has 7 (22.6%) missing valuesMissing
시설총규모 has 7 (22.6%) missing valuesMissing
전통업소지정번호 has 31 (100.0%) missing valuesMissing
전통업소주된음식 has 31 (100.0%) missing valuesMissing
홈페이지 has 31 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
소재지면적 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 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
총인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
본사종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공장사무직종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공장판매직종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공장생산직종업원수 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
보증액 is an unsupported type, check if it needs cleaning or further analysisUnsupported
월세액 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

Reproduction

Analysis started2024-04-29 19:45:57.965167
Analysis finished2024-04-29 19:45:58.678292
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
3090000
31 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3090000
2nd row3090000
3rd row3090000
4th row3090000
5th row3090000

Common Values

ValueCountFrequency (%)
3090000 31
100.0%

Length

2024-04-30T04:45:58.741501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:45:58.811482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3090000 31
100.0%

관리번호
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-04-30T04:45:58.948429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters682
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

Unique31 ?
Unique (%)100.0%

Sample

1st row3090000-102-1999-04516
2nd row3090000-102-1999-04547
3rd row3090000-102-1999-04654
4th row3090000-102-1999-04695
5th row3090000-102-1999-04862
ValueCountFrequency (%)
3090000-102-1999-04516 1
 
3.2%
3090000-102-2002-00002 1
 
3.2%
3090000-102-2017-00001 1
 
3.2%
3090000-102-2015-00001 1
 
3.2%
3090000-102-2012-00003 1
 
3.2%
3090000-102-2012-00002 1
 
3.2%
3090000-102-2012-00001 1
 
3.2%
3090000-102-2011-00001 1
 
3.2%
3090000-102-2010-00001 1
 
3.2%
3090000-102-2007-00004 1
 
3.2%
Other values (21) 21
67.7%
2024-04-30T04:45:59.213872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 313
45.9%
- 93
 
13.6%
2 68
 
10.0%
1 61
 
8.9%
9 57
 
8.4%
3 38
 
5.6%
5 18
 
2.6%
4 13
 
1.9%
7 9
 
1.3%
6 7
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 589
86.4%
Dash Punctuation 93
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 313
53.1%
2 68
 
11.5%
1 61
 
10.4%
9 57
 
9.7%
3 38
 
6.5%
5 18
 
3.1%
4 13
 
2.2%
7 9
 
1.5%
6 7
 
1.2%
8 5
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 93
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 682
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 313
45.9%
- 93
 
13.6%
2 68
 
10.0%
1 61
 
8.9%
9 57
 
8.4%
3 38
 
5.6%
5 18
 
2.6%
4 13
 
1.9%
7 9
 
1.3%
6 7
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 682
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 313
45.9%
- 93
 
13.6%
2 68
 
10.0%
1 61
 
8.9%
9 57
 
8.4%
3 38
 
5.6%
5 18
 
2.6%
4 13
 
1.9%
7 9
 
1.3%
6 7
 
1.0%

인허가일자
Date

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum1999-03-29 00:00:00
Maximum2018-05-03 00:00:00
2024-04-30T04:45:59.334549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:45:59.435914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
1
19 
3
12 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 19
61.3%
3 12
38.7%

Length

2024-04-30T04:45:59.532616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:45:59.606383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 19
61.3%
3 12
38.7%

영업상태명
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
영업/정상
19 
폐업
12 

Length

Max length5
Median length5
Mean length3.8387097
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 19
61.3%
폐업 12
38.7%

Length

2024-04-30T04:45:59.689999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:45:59.785669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 19
61.3%
폐업 12
38.7%

상세영업상태코드
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
1
19 
2
12 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 19
61.3%
2 12
38.7%

Length

2024-04-30T04:45:59.887782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:45:59.984525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 19
61.3%
2 12
38.7%

상세영업상태명
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
영업
19 
폐업
12 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 19
61.3%
폐업 12
38.7%

Length

2024-04-30T04:46:00.079366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:46:00.180351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 19
61.3%
폐업 12
38.7%

폐업일자
Date

MISSING 

Distinct12
Distinct (%)100.0%
Missing19
Missing (%)61.3%
Memory size380.0 B
Minimum2000-02-17 00:00:00
Maximum2023-10-13 00:00:00
2024-04-30T04:46:00.267033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:46:00.373580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

전화번호
Text

MISSING 

Distinct27
Distinct (%)100.0%
Missing4
Missing (%)12.9%
Memory size380.0 B
2024-04-30T04:46:00.528158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.592593
Min length10

Characters and Unicode

Total characters286
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

Unique27 ?
Unique (%)100.0%

Sample

1st row02 9036897
2nd row02 9069942
3rd row02 9955001
4th row02 9968029
5th row02 9049920
ValueCountFrequency (%)
02 25
41.0%
991 2
 
3.3%
900 2
 
3.3%
9988 1
 
1.6%
5252 1
 
1.6%
9912191 1
 
1.6%
9980769 1
 
1.6%
0232973535 1
 
1.6%
1808 1
 
1.6%
9961444 1
 
1.6%
Other values (25) 25
41.0%
2024-04-30T04:46:00.773495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 60
21.0%
0 57
19.9%
42
14.7%
2 39
13.6%
6 17
 
5.9%
3 15
 
5.2%
1 15
 
5.2%
8 12
 
4.2%
4 12
 
4.2%
5 11
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 244
85.3%
Space Separator 42
 
14.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 60
24.6%
0 57
23.4%
2 39
16.0%
6 17
 
7.0%
3 15
 
6.1%
1 15
 
6.1%
8 12
 
4.9%
4 12
 
4.9%
5 11
 
4.5%
7 6
 
2.5%
Space Separator
ValueCountFrequency (%)
42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 286
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 60
21.0%
0 57
19.9%
42
14.7%
2 39
13.6%
6 17
 
5.9%
3 15
 
5.2%
1 15
 
5.2%
8 12
 
4.2%
4 12
 
4.2%
5 11
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 286
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 60
21.0%
0 57
19.9%
42
14.7%
2 39
13.6%
6 17
 
5.9%
3 15
 
5.2%
1 15
 
5.2%
8 12
 
4.2%
4 12
 
4.2%
5 11
 
3.8%

소재지면적
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean204.37645
Minimum39.09
Maximum673.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-04-30T04:46:00.882408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39.09
5-th percentile69.585
Q192.8
median121.69
Q3270.425
95-th percentile549.87
Maximum673.6
Range634.51
Interquartile range (IQR)177.625

Descriptive statistics

Standard deviation164.75942
Coefficient of variation (CV)0.80615657
Kurtosis1.4385076
Mean204.37645
Median Absolute Deviation (MAD)48.31
Skewness1.4716087
Sum6335.67
Variance27145.666
MonotonicityNot monotonic
2024-04-30T04:46:00.982317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
673.6 1
 
3.2%
278.14 1
 
3.2%
92.0 1
 
3.2%
124.65 1
 
3.2%
39.09 1
 
3.2%
98.95 1
 
3.2%
90.94 1
 
3.2%
70.23 1
 
3.2%
97.4 1
 
3.2%
236.34 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
39.09 1
3.2%
68.94 1
3.2%
70.23 1
3.2%
73.96 1
3.2%
81.31 1
3.2%
84.36 1
3.2%
90.94 1
3.2%
92.0 1
3.2%
93.6 1
3.2%
93.75 1
3.2%
ValueCountFrequency (%)
673.6 1
3.2%
562.07 1
3.2%
537.67 1
3.2%
463.51 1
3.2%
376.3 1
3.2%
325.88 1
3.2%
278.14 1
3.2%
270.75 1
3.2%
270.1 1
3.2%
260.6 1
3.2%

소재지우편번호
Categorical

Distinct7
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Memory size380.0 B
132898
23 
132-898
3 
132711
 
1
132899
 
1
132866
 
1
Other values (2)
 
2

Length

Max length7
Median length6
Mean length6.1290323
Min length6

Unique

Unique5 ?
Unique (%)16.1%

Sample

1st row132898
2nd row132898
3rd row132-898
4th row132711
5th row132-898

Common Values

ValueCountFrequency (%)
132898 23
74.2%
132-898 3
 
9.7%
132711 1
 
3.2%
132899 1
 
3.2%
132866 1
 
3.2%
132908 1
 
3.2%
132-899 1
 
3.2%

Length

2024-04-30T04:46:01.082287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:46:01.174515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
132898 23
74.2%
132-898 3
 
9.7%
132711 1
 
3.2%
132899 1
 
3.2%
132866 1
 
3.2%
132908 1
 
3.2%
132-899 1
 
3.2%

지번주소
Text

Distinct28
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-04-30T04:46:01.336039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length30
Mean length23.516129
Min length15

Characters and Unicode

Total characters729
Distinct characters47
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)80.6%

Sample

1st row서울특별시 도봉구 창동 10-1번지
2nd row서울특별시 도봉구 창동 10-3번지
3rd row서울특별시 도봉구 창동 12-1
4th row서울특별시 도봉구 창동 16-0번지 제일빌딩 지하 101호
5th row서울특별시 도봉구 창동 13
ValueCountFrequency (%)
서울특별시 31
20.7%
도봉구 31
20.7%
창동 30
20.0%
지하1층 4
 
2.7%
콤마빌딩 3
 
2.0%
13번지 3
 
2.0%
10-3번지 3
 
2.0%
지하 2
 
1.3%
6번지 2
 
1.3%
3-3 2
 
1.3%
Other values (35) 39
26.0%
2024-04-30T04:46:01.628626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
143
19.6%
1 41
 
5.6%
서 31
 
4.3%
특 31
 
4.3%
별 31
 
4.3%
시 31
 
4.3%
도 31
 
4.3%
봉 31
 
4.3%
구 31
 
4.3%
울 31
 
4.3%
Other values (37) 297
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 417
57.2%
Space Separator 143
 
19.6%
Decimal Number 125
 
17.1%
Dash Punctuation 24
 
3.3%
Other Punctuation 11
 
1.5%
Close Punctuation 4
 
0.5%
Open Punctuation 4
 
0.5%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 31
 
7.4%
특 31
 
7.4%
별 31
 
7.4%
시 31
 
7.4%
도 31
 
7.4%
봉 31
 
7.4%
구 31
 
7.4%
울 31
 
7.4%
동 31
 
7.4%
창 30
 
7.2%
Other values (21) 108
25.9%
Decimal Number
ValueCountFrequency (%)
1 41
32.8%
3 27
21.6%
2 19
15.2%
0 17
13.6%
6 9
 
7.2%
4 5
 
4.0%
5 3
 
2.4%
8 2
 
1.6%
7 1
 
0.8%
9 1
 
0.8%
Space Separator
ValueCountFrequency (%)
143
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 417
57.2%
Common 311
42.7%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 31
 
7.4%
특 31
 
7.4%
별 31
 
7.4%
시 31
 
7.4%
도 31
 
7.4%
봉 31
 
7.4%
구 31
 
7.4%
울 31
 
7.4%
동 31
 
7.4%
창 30
 
7.2%
Other values (21) 108
25.9%
Common
ValueCountFrequency (%)
143
46.0%
1 41
 
13.2%
3 27
 
8.7%
- 24
 
7.7%
2 19
 
6.1%
0 17
 
5.5%
, 11
 
3.5%
6 9
 
2.9%
4 5
 
1.6%
) 4
 
1.3%
Other values (5) 11
 
3.5%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 417
57.2%
ASCII 312
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
143
45.8%
1 41
 
13.1%
3 27
 
8.7%
- 24
 
7.7%
2 19
 
6.1%
0 17
 
5.4%
, 11
 
3.5%
6 9
 
2.9%
4 5
 
1.6%
) 4
 
1.3%
Other values (6) 12
 
3.8%
Hangul
ValueCountFrequency (%)
서 31
 
7.4%
특 31
 
7.4%
별 31
 
7.4%
시 31
 
7.4%
도 31
 
7.4%
봉 31
 
7.4%
구 31
 
7.4%
울 31
 
7.4%
동 31
 
7.4%
창 30
 
7.2%
Other values (21) 108
25.9%

도로명주소
Text

MISSING 

Distinct26
Distinct (%)100.0%
Missing5
Missing (%)16.1%
Memory size380.0 B
2024-04-30T04:46:01.812090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length39.5
Mean length36.423077
Min length27

Characters and Unicode

Total characters947
Distinct characters55
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row서울특별시 도봉구 노해로69길 15-15 (창동)
2nd row서울특별시 도봉구 노해로69길 21-11 (창동)
3rd row서울특별시 도봉구 마들로11길 65, 지하2층 (창동, 유진빌딩)
4th row서울특별시 도봉구 마들로11가길 12, 지하1층 (창동)
5th row서울특별시 도봉구 마들로11가길 13-6, 지상3층 (창동)
ValueCountFrequency (%)
서울특별시 26
14.7%
도봉구 26
14.7%
창동 25
14.1%
지하1층 14
 
7.9%
마들로11길 9
 
5.1%
노해로69길 8
 
4.5%
마들로11가길 5
 
2.8%
15 4
 
2.3%
65 3
 
1.7%
15-15 3
 
1.7%
Other values (41) 54
30.5%
2024-04-30T04:46:02.119686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
151
 
15.9%
1 75
 
7.9%
, 54
 
5.7%
( 27
 
2.9%
) 27
 
2.9%
도 27
 
2.9%
봉 27
 
2.9%
동 26
 
2.7%
로 26
 
2.7%
서 26
 
2.7%
Other values (45) 481
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 485
51.2%
Decimal Number 193
 
20.4%
Space Separator 151
 
15.9%
Other Punctuation 54
 
5.7%
Open Punctuation 27
 
2.9%
Close Punctuation 27
 
2.9%
Dash Punctuation 7
 
0.7%
Uppercase Letter 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 27
 
5.6%
봉 27
 
5.6%
동 26
 
5.4%
로 26
 
5.4%
서 26
 
5.4%
구 26
 
5.4%
시 26
 
5.4%
별 26
 
5.4%
특 26
 
5.4%
울 26
 
5.4%
Other values (27) 223
46.0%
Decimal Number
ValueCountFrequency (%)
1 75
38.9%
2 23
 
11.9%
5 21
 
10.9%
3 18
 
9.3%
6 16
 
8.3%
0 11
 
5.7%
9 11
 
5.7%
7 8
 
4.1%
4 7
 
3.6%
8 3
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
E 1
33.3%
Q 1
33.3%
Space Separator
ValueCountFrequency (%)
151
100.0%
Other Punctuation
ValueCountFrequency (%)
, 54
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 485
51.2%
Common 459
48.5%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 27
 
5.6%
봉 27
 
5.6%
동 26
 
5.4%
로 26
 
5.4%
서 26
 
5.4%
구 26
 
5.4%
시 26
 
5.4%
별 26
 
5.4%
특 26
 
5.4%
울 26
 
5.4%
Other values (27) 223
46.0%
Common
ValueCountFrequency (%)
151
32.9%
1 75
16.3%
, 54
 
11.8%
( 27
 
5.9%
) 27
 
5.9%
2 23
 
5.0%
5 21
 
4.6%
3 18
 
3.9%
6 16
 
3.5%
0 11
 
2.4%
Other values (5) 36
 
7.8%
Latin
ValueCountFrequency (%)
B 1
33.3%
E 1
33.3%
Q 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 485
51.2%
ASCII 462
48.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
151
32.7%
1 75
16.2%
, 54
 
11.7%
( 27
 
5.8%
) 27
 
5.8%
2 23
 
5.0%
5 21
 
4.5%
3 18
 
3.9%
6 16
 
3.5%
0 11
 
2.4%
Other values (8) 39
 
8.4%
Hangul
ValueCountFrequency (%)
도 27
 
5.6%
봉 27
 
5.6%
동 26
 
5.4%
로 26
 
5.4%
서 26
 
5.4%
구 26
 
5.4%
시 26
 
5.4%
별 26
 
5.4%
특 26
 
5.4%
울 26
 
5.4%
Other values (27) 223
46.0%

도로명우편번호
Categorical

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
1414
22 
<NA>
5 
1415
 
2
1442
 
1
1405
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique2 ?
Unique (%)6.5%

Sample

1st row1414
2nd row<NA>
3rd row1414
4th row<NA>
5th row1414

Common Values

ValueCountFrequency (%)
1414 22
71.0%
<NA> 5
 
16.1%
1415 2
 
6.5%
1442 1
 
3.2%
1405 1
 
3.2%

Length

2024-04-30T04:46:02.239657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:46:02.320527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1414 22
71.0%
na 5
 
16.1%
1415 2
 
6.5%
1442 1
 
3.2%
1405 1
 
3.2%

사업장명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-04-30T04:46:02.472249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length4.3870968
Min length2

Characters and Unicode

Total characters136
Distinct characters79
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

Unique31 ?
Unique (%)100.0%

Sample

1st row국빈관
2nd row백악관
3rd row아바타
4th row샤넬
5th row아레나
ValueCountFrequency (%)
국빈관 1
 
2.9%
부킹 1
 
2.9%
에스비에스 1
 
2.9%
가왕 1
 
2.9%
엠비씨(m 1
 
2.9%
b 1
 
2.9%
c 1
 
2.9%
와와 1
 
2.9%
챔프노래타운 1
 
2.9%
신세계 1
 
2.9%
Other values (25) 25
71.4%
2024-04-30T04:46:02.751940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
래 6
 
4.4%
비 6
 
4.4%
노 6
 
4.4%
타 5
 
3.7%
스 5
 
3.7%
아 4
 
2.9%
4
 
2.9%
B 3
 
2.2%
관 3
 
2.2%
운 3
 
2.2%
Other values (69) 91
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 117
86.0%
Uppercase Letter 9
 
6.6%
Space Separator 4
 
2.9%
Close Punctuation 2
 
1.5%
Open Punctuation 2
 
1.5%
Other Punctuation 2
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
래 6
 
5.1%
비 6
 
5.1%
노 6
 
5.1%
타 5
 
4.3%
스 5
 
4.3%
아 4
 
3.4%
관 3
 
2.6%
운 3
 
2.6%
코 3
 
2.6%
왕 2
 
1.7%
Other values (60) 74
63.2%
Uppercase Letter
ValueCountFrequency (%)
B 3
33.3%
C 2
22.2%
M 2
22.2%
K 1
 
11.1%
S 1
 
11.1%
Space Separator
ValueCountFrequency (%)
4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 117
86.0%
Common 10
 
7.4%
Latin 9
 
6.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
래 6
 
5.1%
비 6
 
5.1%
노 6
 
5.1%
타 5
 
4.3%
스 5
 
4.3%
아 4
 
3.4%
관 3
 
2.6%
운 3
 
2.6%
코 3
 
2.6%
왕 2
 
1.7%
Other values (60) 74
63.2%
Latin
ValueCountFrequency (%)
B 3
33.3%
C 2
22.2%
M 2
22.2%
K 1
 
11.1%
S 1
 
11.1%
Common
ValueCountFrequency (%)
4
40.0%
) 2
20.0%
( 2
20.0%
. 2
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 117
86.0%
ASCII 19
 
14.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
래 6
 
5.1%
비 6
 
5.1%
노 6
 
5.1%
타 5
 
4.3%
스 5
 
4.3%
아 4
 
3.4%
관 3
 
2.6%
운 3
 
2.6%
코 3
 
2.6%
왕 2
 
1.7%
Other values (60) 74
63.2%
ASCII
ValueCountFrequency (%)
4
21.1%
B 3
15.8%
C 2
10.5%
) 2
10.5%
( 2
10.5%
. 2
10.5%
M 2
10.5%
K 1
 
5.3%
S 1
 
5.3%

최종수정일자
Date

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2000-02-17 00:00:00
Maximum2023-11-01 15:58:29
2024-04-30T04:46:02.860288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:46:02.959981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
U
21 
I
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 21
67.7%
I 10
32.3%

Length

2024-04-30T04:46:03.065240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:46:03.155393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 21
67.7%
i 10
32.3%

데이터갱신일자
Date

Distinct19
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-08 22:00:00
2024-04-30T04:46:03.242098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:46:03.341808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

업태구분명
Categorical

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
룸살롱
22 
기타
3 
노래클럽
3 
카바레
 
2
고고(디스코)클럽
 
1

Length

Max length9
Median length3
Mean length3.1935484
Min length2

Unique

Unique1 ?
Unique (%)3.2%

Sample

1st row고고(디스코)클럽
2nd row카바레
3rd row룸살롱
4th row룸살롱
5th row룸살롱

Common Values

ValueCountFrequency (%)
룸살롱 22
71.0%
기타 3
 
9.7%
노래클럽 3
 
9.7%
카바레 2
 
6.5%
고고(디스코)클럽 1
 
3.2%

Length

2024-04-30T04:46:03.449669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:46:03.560604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
룸살롱 22
71.0%
기타 3
 
9.7%
노래클럽 3
 
9.7%
카바레 2
 
6.5%
고고(디스코)클럽 1
 
3.2%

좌표정보(X)
Real number (ℝ)

Distinct16
Distinct (%)51.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean204288.7
Minimum203088.53
Maximum204502.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-04-30T04:46:03.824850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum203088.53
5-th percentile204117.59
Q1204279.42
median204317.26
Q3204369.11
95-th percentile204462.81
Maximum204502.12
Range1413.5896
Interquartile range (IQR)89.697758

Descriptive statistics

Standard deviation239.5821
Coefficient of variation (CV)0.0011727624
Kurtosis22.46532
Mean204288.7
Median Absolute Deviation (MAD)40.117928
Skewness-4.4724584
Sum6332949.6
Variance57399.582
MonotonicityNot monotonic
2024-04-30T04:46:03.914654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
204317.264907404 4
12.9%
204263.706546457 4
12.9%
204354.5 3
9.7%
204348.91 3
9.7%
204397.004135761 3
9.7%
204462.811445887 2
 
6.5%
204303.405 2
 
6.5%
204279.415 2
 
6.5%
204502.118604099 1
 
3.2%
204357.382835077 1
 
3.2%
Other values (6) 6
19.4%
ValueCountFrequency (%)
203088.529020092 1
 
3.2%
203996.840075352 1
 
3.2%
204238.33386129 1
 
3.2%
204263.706546457 4
12.9%
204279.415 2
6.5%
204285.331210395 1
 
3.2%
204303.405 2
6.5%
204317.264907404 4
12.9%
204348.91 3
9.7%
204354.5 3
9.7%
ValueCountFrequency (%)
204502.118604099 1
 
3.2%
204462.811445887 2
6.5%
204397.004135761 3
9.7%
204383.782399605 1
 
3.2%
204380.842681685 1
 
3.2%
204357.382835077 1
 
3.2%
204354.5 3
9.7%
204348.91 3
9.7%
204317.264907404 4
12.9%
204303.405 2
6.5%

좌표정보(Y)
Real number (ℝ)

Distinct16
Distinct (%)51.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean461178.14
Minimum460968.28
Maximum461278.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-04-30T04:46:04.027060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum460968.28
5-th percentile461103.66
Q1461156.3
median461175.4
Q3461210.41
95-th percentile461238.84
Maximum461278.39
Range310.11503
Interquartile range (IQR)54.113514

Descriptive statistics

Standard deviation56.197467
Coefficient of variation (CV)0.00012185631
Kurtosis5.7023515
Mean461178.14
Median Absolute Deviation (MAD)31.842688
Skewness-1.7277709
Sum14296522
Variance3158.1553
MonotonicityNot monotonic
2024-04-30T04:46:04.132936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
461224.014056627 4
12.9%
461207.244729609 4
12.9%
461162.92 3
9.7%
461195.825 3
9.7%
461175.40204195 3
9.7%
461156.29642481 2
 
6.5%
461147.92 2
 
6.5%
461140.88 2
 
6.5%
461278.391079956 1
 
3.2%
461235.763310872 1
 
3.2%
Other values (6) 6
19.4%
ValueCountFrequency (%)
460968.27605232 1
 
3.2%
461075.899847175 1
 
3.2%
461131.41082739 1
 
3.2%
461140.88 2
6.5%
461147.92 2
6.5%
461156.29642481 2
6.5%
461159.384486912 1
 
3.2%
461162.92 3
9.7%
461175.40204195 3
9.7%
461195.825 3
9.7%
ValueCountFrequency (%)
461278.391079956 1
 
3.2%
461241.91936739 1
 
3.2%
461235.763310872 1
 
3.2%
461224.014056627 4
12.9%
461213.575148552 1
 
3.2%
461207.244729609 4
12.9%
461195.825 3
9.7%
461175.40204195 3
9.7%
461162.92 3
9.7%
461159.384486912 1
 
3.2%

위생업태명
Categorical

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
룸살롱
17 
<NA>
7 
카바레
2 
기타
2 
노래클럽
2 

Length

Max length9
Median length3
Mean length3.4193548
Min length2

Unique

Unique1 ?
Unique (%)3.2%

Sample

1st row고고(디스코)클럽
2nd row카바레
3rd row<NA>
4th row룸살롱
5th row<NA>

Common Values

ValueCountFrequency (%)
룸살롱 17
54.8%
<NA> 7
22.6%
카바레 2
 
6.5%
기타 2
 
6.5%
노래클럽 2
 
6.5%
고고(디스코)클럽 1
 
3.2%

Length

2024-04-30T04:46:04.247592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:46:04.363162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
룸살롱 17
54.8%
na 7
22.6%
카바레 2
 
6.5%
기타 2
 
6.5%
노래클럽 2
 
6.5%
고고(디스코)클럽 1
 
3.2%

남성종사자수
Categorical

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
22 
0
6 
13
 
1
3
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.1612903
Min length1

Unique

Unique3 ?
Unique (%)9.7%

Sample

1st row13
2nd row3
3rd row<NA>
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 22
71.0%
0 6
 
19.4%
13 1
 
3.2%
3 1
 
3.2%
1 1
 
3.2%

Length

2024-04-30T04:46:04.463374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:46:04.556077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
71.0%
0 6
 
19.4%
13 1
 
3.2%
3 1
 
3.2%
1 1
 
3.2%

여성종사자수
Categorical

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
23 
0
6 
3
 
1
2
 
1

Length

Max length4
Median length4
Mean length3.2258065
Min length1

Unique

Unique2 ?
Unique (%)6.5%

Sample

1st row3
2nd row0
3rd row<NA>
4th row2
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 23
74.2%
0 6
 
19.4%
3 1
 
3.2%
2 1
 
3.2%

Length

2024-04-30T04:46:04.664858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:46:04.746992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
74.2%
0 6
 
19.4%
3 1
 
3.2%
2 1
 
3.2%

영업장주변구분명
Categorical

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
18 
유흥업소밀집지역
8 
기타
5 

Length

Max length8
Median length4
Mean length4.7096774
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 18
58.1%
유흥업소밀집지역 8
25.8%
기타 5
 
16.1%

Length

2024-04-30T04:46:04.837819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:46:04.920165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
58.1%
유흥업소밀집지역 8
25.8%
기타 5
 
16.1%

등급구분명
Text

MISSING 

Distinct3
Distinct (%)50.0%
Missing25
Missing (%)80.6%
Memory size380.0 B
2024-04-30T04:46:05.004907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters12
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)16.7%

Sample

1st row자율
2nd row자율
3rd row기타
4th row자율
5th row기타
ValueCountFrequency (%)
자율 3
50.0%
기타 2
33.3%
관리 1
 
16.7%
2024-04-30T04:46:05.214148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
자 3
25.0%
율 3
25.0%
기 2
16.7%
타 2
16.7%
관 1
 
8.3%
리 1
 
8.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 3
25.0%
율 3
25.0%
기 2
16.7%
타 2
16.7%
관 1
 
8.3%
리 1
 
8.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 3
25.0%
율 3
25.0%
기 2
16.7%
타 2
16.7%
관 1
 
8.3%
리 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
자 3
25.0%
율 3
25.0%
기 2
16.7%
타 2
16.7%
관 1
 
8.3%
리 1
 
8.3%

급수시설구분명
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
상수도전용
18 
<NA>
13 

Length

Max length5
Median length5
Mean length4.5806452
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 18
58.1%
<NA> 13
41.9%

Length

2024-04-30T04:46:05.326965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:46:05.410232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 18
58.1%
na 13
41.9%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

본사종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

공장사무직종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

공장판매직종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

공장생산직종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

보증액
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

월세액
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

다중이용업소여부
Boolean

MISSING 

Distinct2
Distinct (%)8.3%
Missing7
Missing (%)22.6%
Memory size194.0 B
True
16 
False
8 
(Missing)
7 
ValueCountFrequency (%)
True 16
51.6%
False 8
25.8%
(Missing) 7
22.6%
2024-04-30T04:46:05.474499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)100.0%
Missing7
Missing (%)22.6%
Infinite0
Infinite (%)0.0%
Mean203.60333
Minimum68.94
Maximum673.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-04-30T04:46:05.562522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68.94
5-th percentile70.7895
Q193.7125
median123.17
Q3270.2625
95-th percentile526.546
Maximum673.6
Range604.66
Interquartile range (IQR)176.55

Descriptive statistics

Standard deviation162.46625
Coefficient of variation (CV)0.79795475
Kurtosis2.1454782
Mean203.60333
Median Absolute Deviation (MAD)48.02
Skewness1.6270437
Sum4886.48
Variance26395.281
MonotonicityNot monotonic
2024-04-30T04:46:05.675409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
170.0 1
 
3.2%
124.65 1
 
3.2%
98.95 1
 
3.2%
90.94 1
 
3.2%
70.23 1
 
3.2%
97.4 1
 
3.2%
93.75 1
 
3.2%
68.94 1
 
3.2%
93.6 1
 
3.2%
73.96 1
 
3.2%
Other values (14) 14
45.2%
(Missing) 7
22.6%
ValueCountFrequency (%)
68.94 1
3.2%
70.23 1
3.2%
73.96 1
3.2%
84.36 1
3.2%
90.94 1
3.2%
93.6 1
3.2%
93.75 1
3.2%
97.4 1
3.2%
98.95 1
3.2%
101.76 1
3.2%
ValueCountFrequency (%)
673.6 1
3.2%
537.67 1
3.2%
463.51 1
3.2%
376.3 1
3.2%
278.14 1
3.2%
270.75 1
3.2%
270.1 1
3.2%
260.6 1
3.2%
182.52 1
3.2%
170.0 1
3.2%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030900003090000-102-1999-0451619990329<NA>3폐업2폐업20121011<NA><NA><NA>02 9036897673.6132898서울특별시 도봉구 창동 10-1번지서울특별시 도봉구 노해로69길 15-15 (창동)1414국빈관2012-08-09 13:58:13I2018-08-31 23:59:59.0고고(디스코)클럽204354.5461162.92고고(디스코)클럽133유흥업소밀집지역자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N673.6<NA><NA><NA>
130900003090000-102-1999-0454719990419<NA>3폐업2폐업20000417<NA><NA><NA>02 9069942278.14132898서울특별시 도봉구 창동 10-3번지<NA><NA>백악관2000-04-17 00:00:00I2018-08-31 23:59:59.0카바레204397.004136461175.402042카바레30기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N278.14<NA><NA><NA>
230900003090000-102-1999-046541999-06-17<NA>1영업/정상1영업<NA><NA><NA><NA>02 9955001325.88132-898서울특별시 도봉구 창동 12-1서울특별시 도봉구 노해로69길 21-11 (창동)1414아바타2023-11-01 15:58:29U2022-11-01 00:03:00.0룸살롱204348.91461195.825<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
330900003090000-102-1999-0469519990712<NA>3폐업2폐업20000217<NA><NA><NA>02 996802984.36132711서울특별시 도봉구 창동 16-0번지 제일빌딩 지하 101호<NA><NA>샤넬2000-02-17 00:00:00I2018-08-31 23:59:59.0룸살롱204462.811446461156.296425룸살롱02기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N84.36<NA><NA><NA>
430900003090000-102-1999-048621999-11-12<NA>1영업/정상1영업<NA><NA><NA><NA>02 9049920112.5132-898서울특별시 도봉구 창동 13서울특별시 도봉구 마들로11길 65, 지하2층 (창동, 유진빌딩)1414아레나2023-09-18 17:29:23U2022-12-08 22:00:00.0룸살롱204317.264907461224.014057<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
530900003090000-102-1999-0489019991204<NA>3폐업2폐업20161118<NA><NA><NA>02 993 0088376.3132898서울특별시 도봉구 창동 5-0번지 지하1층서울특별시 도봉구 마들로11가길 12, 지하1층 (창동)1414애송이2014-07-15 13:37:26I2018-08-31 23:59:59.0룸살롱204238.333861461159.384487룸살롱<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N376.3<NA><NA><NA>
630900003090000-102-1999-0492219991220<NA>3폐업2폐업20130417<NA><NA><NA>02 9002504270.1132898서울특별시 도봉구 창동 6-1번지서울특별시 도봉구 마들로11가길 13-6, 지상3층 (창동)1414상상 가요방2013-03-27 16:56:24I2018-08-31 23:59:59.0룸살롱204303.405461147.92룸살롱<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N270.1<NA><NA><NA>
730900003090000-102-2000-0495720000125<NA>3폐업2폐업20101104<NA><NA><NA>02 9064666101.76132898서울특별시 도봉구 창동 12-1번지 (지상6층)<NA><NA>코리아나2006-11-23 00:00:00I2018-08-31 23:59:59.0룸살롱204348.91461195.825룸살롱00유흥업소밀집지역자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N101.76<NA><NA><NA>
830900003090000-102-2000-0498320000221<NA>1영업/정상1영업<NA><NA><NA><NA>02 9001055270.75132898서울특별시 도봉구 창동 6-1 (지하1층)서울특별시 도봉구 마들로11가길 13-6, 지하1층 (창동)1414코리아2020-11-30 14:56:43U2020-12-02 02:40:00.0룸살롱204303.405461147.92룸살롱<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y270.75<NA><NA><NA>
930900003090000-102-2000-0507320000502<NA>1영업/정상1영업<NA><NA><NA><NA>02 9976433182.52132899서울특별시 도봉구 창동 16번지 지하1층서울특별시 도봉구 노해로 389, 지하1층 (창동, 제일빌딩)1415기모찌2019-03-20 17:17:35U2019-03-22 02:40:00.0룸살롱204462.811446461156.296425룸살롱<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y182.52<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
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