Overview

Dataset statistics

Number of variables56
Number of observations160
Missing cells4505
Missing cells (%)50.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory75.9 KiB
Average record size in memory485.8 B

Variable types

Categorical16
Text6
DateTime3
Numeric9
Unsupported22

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),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author도봉구
URLhttps://data.seoul.go.kr/dataList/OA-16826/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (94.5%)Imbalance
휴업종료일자 is highly imbalanced (94.5%)Imbalance
지역구분명 is highly imbalanced (62.5%)Imbalance
인허가취소일자 has 117 (73.1%) missing valuesMissing
폐업일자 has 67 (41.9%) missing valuesMissing
재개업일자 has 160 (100.0%) missing valuesMissing
전화번호 has 154 (96.2%) missing valuesMissing
소재지면적 has 160 (100.0%) missing valuesMissing
소재지우편번호 has 150 (93.8%) missing valuesMissing
도로명주소 has 3 (1.9%) missing valuesMissing
도로명우편번호 has 75 (46.9%) missing valuesMissing
업태구분명 has 160 (100.0%) missing valuesMissing
좌표정보(X) has 2 (1.2%) missing valuesMissing
좌표정보(Y) has 2 (1.2%) missing valuesMissing
총층수 has 101 (63.1%) missing valuesMissing
제작취급품목내용 has 79 (49.4%) missing valuesMissing
시설면적 has 22 (13.8%) missing valuesMissing
지상층수 has 102 (63.7%) missing valuesMissing
통로너비 has 160 (100.0%) missing valuesMissing
조명시설조도 has 160 (100.0%) missing valuesMissing
노래방실수 has 160 (100.0%) missing valuesMissing
청소년실수 has 160 (100.0%) missing valuesMissing
비상계단여부 has 160 (100.0%) missing valuesMissing
비상구여부 has 160 (100.0%) missing valuesMissing
자동환기여부 has 160 (100.0%) missing valuesMissing
청소년실여부 has 160 (100.0%) missing valuesMissing
특수조명여부 has 160 (100.0%) missing valuesMissing
방음시설여부 has 160 (100.0%) missing valuesMissing
비디오재생기명 has 160 (100.0%) missing valuesMissing
조명시설유무 has 160 (100.0%) missing valuesMissing
음향시설여부 has 160 (100.0%) missing valuesMissing
편의시설여부 has 160 (100.0%) missing valuesMissing
소방시설여부 has 160 (100.0%) missing valuesMissing
총게임기수 has 111 (69.4%) missing valuesMissing
기존게임업외업종명 has 160 (100.0%) missing valuesMissing
공연장형태구분명 has 160 (100.0%) missing valuesMissing
품목명 has 160 (100.0%) missing valuesMissing
최초등록시점 has 160 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
통로너비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설조도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 19:09:32.831679
Analysis finished2024-04-29 19:09:33.681911
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3090000
160 

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 160
100.0%

Length

2024-04-30T04:09:33.740956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:33.815014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3090000 160
100.0%

관리번호
Text

UNIQUE 

Distinct160
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-30T04:09:33.959586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3200
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique160 ?
Unique (%)100.0%

Sample

1st rowCDFF2241142007000001
2nd rowCDFF2241142007000002
3rd rowCDFF2241142007000003
4th rowCDFF2241142008000001
5th rowCDFF2241142008000002
ValueCountFrequency (%)
cdff2241142007000001 1
 
0.6%
cdff2241142007000002 1
 
0.6%
cdff2241142017000010 1
 
0.6%
cdff2241142017000003 1
 
0.6%
cdff2241142017000004 1
 
0.6%
cdff2241142017000005 1
 
0.6%
cdff2241142017000006 1
 
0.6%
cdff2241142017000007 1
 
0.6%
cdff2241142017000008 1
 
0.6%
cdff2241142017000009 1
 
0.6%
Other values (150) 150
93.8%
2024-04-30T04:09:34.249151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 983
30.7%
2 539
16.8%
1 474
14.8%
4 348
 
10.9%
F 320
 
10.0%
C 160
 
5.0%
D 160
 
5.0%
9 67
 
2.1%
3 39
 
1.2%
7 38
 
1.2%
Other values (3) 72
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2560
80.0%
Uppercase Letter 640
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 983
38.4%
2 539
21.1%
1 474
18.5%
4 348
 
13.6%
9 67
 
2.6%
3 39
 
1.5%
7 38
 
1.5%
8 34
 
1.3%
5 19
 
0.7%
6 19
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
F 320
50.0%
C 160
25.0%
D 160
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2560
80.0%
Latin 640
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 983
38.4%
2 539
21.1%
1 474
18.5%
4 348
 
13.6%
9 67
 
2.6%
3 39
 
1.5%
7 38
 
1.5%
8 34
 
1.3%
5 19
 
0.7%
6 19
 
0.7%
Latin
ValueCountFrequency (%)
F 320
50.0%
C 160
25.0%
D 160
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 983
30.7%
2 539
16.8%
1 474
14.8%
4 348
 
10.9%
F 320
 
10.0%
C 160
 
5.0%
D 160
 
5.0%
9 67
 
2.1%
3 39
 
1.2%
7 38
 
1.2%
Other values (3) 72
 
2.2%

인허가일자
Date

Distinct151
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2007-11-12 00:00:00
Maximum2023-06-26 00:00:00
2024-04-30T04:09:34.386280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:09:34.527220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)83.7%
Missing117
Missing (%)73.1%
Infinite0
Infinite (%)0.0%
Mean20101338
Minimum20081201
Maximum20200109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-30T04:09:34.644411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20081201
5-th percentile20090427
Q120091116
median20100125
Q320100609
95-th percentile20120416
Maximum20200109
Range118908
Interquartile range (IQR)9493

Descriptive statistics

Standard deviation18398.908
Coefficient of variation (CV)0.00091530763
Kurtosis19.84698
Mean20101338
Median Absolute Deviation (MAD)9008
Skewness3.8539109
Sum8.6435753 × 108
Variance3.3851981 × 108
MonotonicityNot monotonic
2024-04-30T04:09:34.759034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
20091123 3
 
1.9%
20120416 3
 
1.9%
20110927 2
 
1.2%
20100125 2
 
1.2%
20110621 2
 
1.2%
20081201 1
 
0.6%
20081222 1
 
0.6%
20200109 1
 
0.6%
20120521 1
 
0.6%
20110620 1
 
0.6%
Other values (26) 26
 
16.2%
(Missing) 117
73.1%
ValueCountFrequency (%)
20081201 1
0.6%
20081222 1
0.6%
20090406 1
0.6%
20090615 1
0.6%
20090622 1
0.6%
20090629 1
0.6%
20090727 1
0.6%
20090914 1
0.6%
20090920 1
0.6%
20090930 1
0.6%
ValueCountFrequency (%)
20200109 1
 
0.6%
20120521 1
 
0.6%
20120416 3
1.9%
20110927 2
1.2%
20110621 2
1.2%
20110620 1
 
0.6%
20100707 1
 
0.6%
20100511 1
 
0.6%
20100415 1
 
0.6%
20100405 1
 
0.6%

영업상태코드
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3
82 
4
55 
1
23 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row4
5th row3

Common Values

ValueCountFrequency (%)
3 82
51.2%
4 55
34.4%
1 23
 
14.4%

Length

2024-04-30T04:09:34.864743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:34.949838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 82
51.2%
4 55
34.4%
1 23
 
14.4%

영업상태명
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
폐업
82 
취소/말소/만료/정지/중지
55 
영업/정상
23 

Length

Max length14
Median length2
Mean length6.55625
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row폐업
3rd row폐업
4th row취소/말소/만료/정지/중지
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 82
51.2%
취소/말소/만료/정지/중지 55
34.4%
영업/정상 23
 
14.4%

Length

2024-04-30T04:09:35.053421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:35.141178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 82
51.2%
취소/말소/만료/정지/중지 55
34.4%
영업/정상 23
 
14.4%

상세영업상태코드
Categorical

Distinct5
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3
82 
31
43 
13
23 
35
11 
25
 
1

Length

Max length2
Median length1
Mean length1.4875
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row3
2nd row3
3rd row3
4th row31
5th row3

Common Values

ValueCountFrequency (%)
3 82
51.2%
31 43
26.9%
13 23
 
14.4%
35 11
 
6.9%
25 1
 
0.6%

Length

2024-04-30T04:09:35.250033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:35.365411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 82
51.2%
31 43
26.9%
13 23
 
14.4%
35 11
 
6.9%
25 1
 
0.6%

상세영업상태명
Categorical

Distinct5
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
폐업
82 
등록취소
43 
영업중
23 
직권말소
11 
영업정지
 
1

Length

Max length4
Median length2
Mean length2.83125
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 82
51.2%
등록취소 43
26.9%
영업중 23
 
14.4%
직권말소 11
 
6.9%
영업정지 1
 
0.6%

Length

2024-04-30T04:09:35.477196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:35.584305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 82
51.2%
등록취소 43
26.9%
영업중 23
 
14.4%
직권말소 11
 
6.9%
영업정지 1
 
0.6%

폐업일자
Date

MISSING 

Distinct84
Distinct (%)90.3%
Missing67
Missing (%)41.9%
Memory size1.4 KiB
Minimum2008-03-27 00:00:00
Maximum2023-12-21 00:00:00
2024-04-30T04:09:35.683095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:09:35.812839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
159 
20091128
 
1

Length

Max length8
Median length4
Mean length4.025
Min length4

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 159
99.4%
20091128 1
 
0.6%

Length

2024-04-30T04:09:35.932333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:36.024459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 159
99.4%
20091128 1
 
0.6%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
159 
20100126
 
1

Length

Max length8
Median length4
Mean length4.025
Min length4

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 159
99.4%
20100126 1
 
0.6%

Length

2024-04-30T04:09:36.117183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:36.218780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 159
99.4%
20100126 1
 
0.6%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

전화번호
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing154
Missing (%)96.2%
Memory size1.4 KiB
2024-04-30T04:09:36.330355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.3333333
Min length8

Characters and Unicode

Total characters50
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

Unique6 ?
Unique (%)100.0%

Sample

1st row3492-7263
2nd row3493-2600
3rd row903-0831
4th row903-9781
5th row975-4390
ValueCountFrequency (%)
3492-7263 1
16.7%
3493-2600 1
16.7%
903-0831 1
16.7%
903-9781 1
16.7%
975-4390 1
16.7%
954-0670 1
16.7%
2024-04-30T04:09:36.575315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 8
16.0%
9 8
16.0%
0 8
16.0%
- 6
12.0%
4 4
8.0%
7 4
8.0%
2 3
 
6.0%
6 3
 
6.0%
8 2
 
4.0%
1 2
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 44
88.0%
Dash Punctuation 6
 
12.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 8
18.2%
9 8
18.2%
0 8
18.2%
4 4
9.1%
7 4
9.1%
2 3
 
6.8%
6 3
 
6.8%
8 2
 
4.5%
1 2
 
4.5%
5 2
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 50
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 8
16.0%
9 8
16.0%
0 8
16.0%
- 6
12.0%
4 4
8.0%
7 4
8.0%
2 3
 
6.0%
6 3
 
6.0%
8 2
 
4.0%
1 2
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 8
16.0%
9 8
16.0%
0 8
16.0%
- 6
12.0%
4 4
8.0%
7 4
8.0%
2 3
 
6.0%
6 3
 
6.0%
8 2
 
4.0%
1 2
 
4.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)60.0%
Missing150
Missing (%)93.8%
Infinite0
Infinite (%)0.0%
Mean132807.5
Minimum132030
Maximum132923
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-30T04:09:36.679236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum132030
5-th percentile132397.65
Q1132859.75
median132898
Q3132908
95-th percentile132920.75
Maximum132923
Range893
Interquartile range (IQR)48.25

Descriptive statistics

Standard deviation274.45876
Coefficient of variation (CV)0.0020665908
Kurtosis9.7448625
Mean132807.5
Median Absolute Deviation (MAD)15
Skewness-3.1086368
Sum1328075
Variance75327.611
MonotonicityNot monotonic
2024-04-30T04:09:36.760271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
132898 3
 
1.9%
132847 2
 
1.2%
132908 2
 
1.2%
132030 1
 
0.6%
132918 1
 
0.6%
132923 1
 
0.6%
(Missing) 150
93.8%
ValueCountFrequency (%)
132030 1
 
0.6%
132847 2
1.2%
132898 3
1.9%
132908 2
1.2%
132918 1
 
0.6%
132923 1
 
0.6%
ValueCountFrequency (%)
132923 1
 
0.6%
132918 1
 
0.6%
132908 2
1.2%
132898 3
1.9%
132847 2
1.2%
132030 1
 
0.6%

지번주소
Text

Distinct137
Distinct (%)85.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-30T04:09:36.988505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length33
Mean length23.575
Min length14

Characters and Unicode

Total characters3772
Distinct characters66
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique120 ?
Unique (%)75.0%

Sample

1st row서울특별시 도봉구 방학동 657-1번지 1층
2nd row서울특별시 도봉구 방학동 703-65번지 2층
3rd row서울특별시 도봉구 방학동 602-31번지 1층
4th row서울특별시 도봉구 창동 655-23번지 지1층
5th row서울특별시 도봉구 창동 10-1번지 2층(6,7호)
ValueCountFrequency (%)
서울특별시 160
20.9%
도봉구 160
20.9%
창동 82
 
10.7%
방학동 51
 
6.7%
2층 27
 
3.5%
지층 18
 
2.4%
도봉동 16
 
2.1%
1층 14
 
1.8%
쌍문동 11
 
1.4%
지하 9
 
1.2%
Other values (143) 217
28.4%
2024-04-30T04:09:37.374977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
741
19.6%
도 176
 
4.7%
봉 176
 
4.7%
서 160
 
4.2%
특 160
 
4.2%
별 160
 
4.2%
시 160
 
4.2%
구 160
 
4.2%
울 160
 
4.2%
동 160
 
4.2%
Other values (56) 1559
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2116
56.1%
Decimal Number 747
 
19.8%
Space Separator 741
 
19.6%
Dash Punctuation 133
 
3.5%
Uppercase Letter 21
 
0.6%
Other Punctuation 10
 
0.3%
Math Symbol 2
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 176
 
8.3%
봉 176
 
8.3%
서 160
 
7.6%
특 160
 
7.6%
별 160
 
7.6%
시 160
 
7.6%
구 160
 
7.6%
울 160
 
7.6%
동 160
 
7.6%
지 156
 
7.4%
Other values (31) 488
23.1%
Decimal Number
ValueCountFrequency (%)
1 141
18.9%
6 106
14.2%
2 91
12.2%
3 90
12.0%
0 86
11.5%
5 81
10.8%
7 53
 
7.1%
4 44
 
5.9%
9 28
 
3.7%
8 27
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
I 4
19.0%
G 4
19.0%
K 4
19.0%
N 4
19.0%
E 2
9.5%
A 1
 
4.8%
S 1
 
4.8%
Q 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 9
90.0%
. 1
 
10.0%
Space Separator
ValueCountFrequency (%)
741
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 133
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2116
56.1%
Common 1635
43.3%
Latin 21
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 176
 
8.3%
봉 176
 
8.3%
서 160
 
7.6%
특 160
 
7.6%
별 160
 
7.6%
시 160
 
7.6%
구 160
 
7.6%
울 160
 
7.6%
동 160
 
7.6%
지 156
 
7.4%
Other values (31) 488
23.1%
Common
ValueCountFrequency (%)
741
45.3%
1 141
 
8.6%
- 133
 
8.1%
6 106
 
6.5%
2 91
 
5.6%
3 90
 
5.5%
0 86
 
5.3%
5 81
 
5.0%
7 53
 
3.2%
4 44
 
2.7%
Other values (7) 69
 
4.2%
Latin
ValueCountFrequency (%)
I 4
19.0%
G 4
19.0%
K 4
19.0%
N 4
19.0%
E 2
9.5%
A 1
 
4.8%
S 1
 
4.8%
Q 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2116
56.1%
ASCII 1656
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
741
44.7%
1 141
 
8.5%
- 133
 
8.0%
6 106
 
6.4%
2 91
 
5.5%
3 90
 
5.4%
0 86
 
5.2%
5 81
 
4.9%
7 53
 
3.2%
4 44
 
2.7%
Other values (15) 90
 
5.4%
Hangul
ValueCountFrequency (%)
도 176
 
8.3%
봉 176
 
8.3%
서 160
 
7.6%
특 160
 
7.6%
별 160
 
7.6%
시 160
 
7.6%
구 160
 
7.6%
울 160
 
7.6%
동 160
 
7.6%
지 156
 
7.4%
Other values (31) 488
23.1%

도로명주소
Text

MISSING 

Distinct140
Distinct (%)89.2%
Missing3
Missing (%)1.9%
Memory size1.4 KiB
2024-04-30T04:09:37.596060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length42
Mean length29.566879
Min length22

Characters and Unicode

Total characters4642
Distinct characters86
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique128 ?
Unique (%)81.5%

Sample

1st row서울특별시 도봉구 도당로27길 8 (방학동,1층)
2nd row서울특별시 도봉구 도봉로 675 (방학동,2층)
3rd row서울특별시 도봉구 시루봉로17길 4 (방학동,1층)
4th row서울특별시 도봉구 도봉로 458 (창동,지1층)
5th row서울특별시 도봉구 노해로69길 15-15 (창동,2층(6,7호))
ValueCountFrequency (%)
서울특별시 157
 
17.3%
도봉구 157
 
17.3%
창동 47
 
5.2%
1층 37
 
4.1%
방학동 30
 
3.3%
도봉로 27
 
3.0%
노해로69길 19
 
2.1%
15-15 15
 
1.7%
방학동,2층 10
 
1.1%
지층 10
 
1.1%
Other values (170) 399
43.9%
2024-04-30T04:09:37.947962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
798
 
17.2%
1 249
 
5.4%
도 242
 
5.2%
봉 230
 
5.0%
동 159
 
3.4%
) 158
 
3.4%
( 158
 
3.4%
시 158
 
3.4%
울 157
 
3.4%
서 157
 
3.4%
Other values (76) 2176
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2535
54.6%
Space Separator 798
 
17.2%
Decimal Number 786
 
16.9%
Close Punctuation 158
 
3.4%
Open Punctuation 158
 
3.4%
Other Punctuation 148
 
3.2%
Dash Punctuation 30
 
0.6%
Uppercase Letter 27
 
0.6%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 242
 
9.5%
봉 230
 
9.1%
동 159
 
6.3%
시 158
 
6.2%
울 157
 
6.2%
서 157
 
6.2%
구 157
 
6.2%
별 157
 
6.2%
특 157
 
6.2%
로 155
 
6.1%
Other values (51) 806
31.8%
Decimal Number
ValueCountFrequency (%)
1 249
31.7%
2 100
12.7%
6 89
 
11.3%
5 83
 
10.6%
4 56
 
7.1%
7 51
 
6.5%
0 46
 
5.9%
3 44
 
5.6%
9 40
 
5.1%
8 28
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
G 5
18.5%
N 5
18.5%
I 5
18.5%
K 5
18.5%
S 2
 
7.4%
E 2
 
7.4%
R 1
 
3.7%
Q 1
 
3.7%
A 1
 
3.7%
Space Separator
ValueCountFrequency (%)
798
100.0%
Close Punctuation
ValueCountFrequency (%)
) 158
100.0%
Open Punctuation
ValueCountFrequency (%)
( 158
100.0%
Other Punctuation
ValueCountFrequency (%)
, 148
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2535
54.6%
Common 2080
44.8%
Latin 27
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 242
 
9.5%
봉 230
 
9.1%
동 159
 
6.3%
시 158
 
6.2%
울 157
 
6.2%
서 157
 
6.2%
구 157
 
6.2%
별 157
 
6.2%
특 157
 
6.2%
로 155
 
6.1%
Other values (51) 806
31.8%
Common
ValueCountFrequency (%)
798
38.4%
1 249
 
12.0%
) 158
 
7.6%
( 158
 
7.6%
, 148
 
7.1%
2 100
 
4.8%
6 89
 
4.3%
5 83
 
4.0%
4 56
 
2.7%
7 51
 
2.5%
Other values (6) 190
 
9.1%
Latin
ValueCountFrequency (%)
G 5
18.5%
N 5
18.5%
I 5
18.5%
K 5
18.5%
S 2
 
7.4%
E 2
 
7.4%
R 1
 
3.7%
Q 1
 
3.7%
A 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2535
54.6%
ASCII 2107
45.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
798
37.9%
1 249
 
11.8%
) 158
 
7.5%
( 158
 
7.5%
, 148
 
7.0%
2 100
 
4.7%
6 89
 
4.2%
5 83
 
3.9%
4 56
 
2.7%
7 51
 
2.4%
Other values (15) 217
 
10.3%
Hangul
ValueCountFrequency (%)
도 242
 
9.5%
봉 230
 
9.1%
동 159
 
6.3%
시 158
 
6.2%
울 157
 
6.2%
서 157
 
6.2%
구 157
 
6.2%
별 157
 
6.2%
특 157
 
6.2%
로 155
 
6.1%
Other values (51) 806
31.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)36.5%
Missing75
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean12207.082
Minimum1303
Maximum132898
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-30T04:09:38.057269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1303
5-th percentile1307
Q11343
median1405
Q31455
95-th percentile132884.2
Maximum132898
Range131595
Interquartile range (IQR)112

Descriptive statistics

Standard deviation36331.413
Coefficient of variation (CV)2.9762569
Kurtosis7.7510828
Mean12207.082
Median Absolute Deviation (MAD)54
Skewness3.093398
Sum1037602
Variance1.3199716 × 109
MonotonicityNot monotonic
2024-04-30T04:09:38.351622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1414 16
 
10.0%
1455 9
 
5.6%
1340 7
 
4.4%
1307 5
 
3.1%
1345 5
 
3.1%
1352 4
 
2.5%
1405 4
 
2.5%
132898 4
 
2.5%
1351 3
 
1.9%
1473 3
 
1.9%
Other values (21) 25
 
15.6%
(Missing) 75
46.9%
ValueCountFrequency (%)
1303 1
 
0.6%
1304 2
 
1.2%
1307 5
3.1%
1327 1
 
0.6%
1332 1
 
0.6%
1340 7
4.4%
1341 1
 
0.6%
1342 2
 
1.2%
1343 2
 
1.2%
1344 1
 
0.6%
ValueCountFrequency (%)
132898 4
2.5%
132892 1
 
0.6%
132853 1
 
0.6%
132044 1
 
0.6%
1476 2
 
1.2%
1473 3
 
1.9%
1471 1
 
0.6%
1469 1
 
0.6%
1455 9
5.6%
1452 1
 
0.6%

사업장명
Text

Distinct141
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-30T04:09:38.553770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5.8875
Min length2

Characters and Unicode

Total characters942
Distinct characters178
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

Unique129 ?
Unique (%)80.6%

Sample

1st row신세대 게임장
2nd row우리들의 놀이터
3rd row방학 컴퓨터게임장
4th row삼화게임랜드
5th row라이센스 게임랜드
ValueCountFrequency (%)
게임랜드 35
 
15.2%
게임장 13
 
5.6%
인형뽑기 7
 
3.0%
창동게임랜드 4
 
1.7%
통큰인형뽑기 3
 
1.3%
골드게임랜드 3
 
1.3%
방학 3
 
1.3%
대박게임랜드 3
 
1.3%
창동 3
 
1.3%
게임 3
 
1.3%
Other values (138) 154
66.7%
2024-04-30T04:09:38.881054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
임 107
 
11.4%
게 105
 
11.1%
드 91
 
9.7%
랜 77
 
8.2%
71
 
7.5%
뽑 33
 
3.5%
기 26
 
2.8%
장 21
 
2.2%
방 13
 
1.4%
창 12
 
1.3%
Other values (168) 386
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 847
89.9%
Space Separator 71
 
7.5%
Uppercase Letter 17
 
1.8%
Dash Punctuation 2
 
0.2%
Lowercase Letter 2
 
0.2%
Close Punctuation 1
 
0.1%
Decimal Number 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
임 107
 
12.6%
게 105
 
12.4%
드 91
 
10.7%
랜 77
 
9.1%
뽑 33
 
3.9%
기 26
 
3.1%
장 21
 
2.5%
방 13
 
1.5%
창 12
 
1.4%
인 12
 
1.4%
Other values (148) 350
41.3%
Uppercase Letter
ValueCountFrequency (%)
C 2
11.8%
O 2
11.8%
P 2
11.8%
W 2
11.8%
S 1
 
5.9%
D 1
 
5.9%
R 1
 
5.9%
X 1
 
5.9%
B 1
 
5.9%
L 1
 
5.9%
Other values (3) 3
17.6%
Lowercase Letter
ValueCountFrequency (%)
a 1
50.0%
y 1
50.0%
Space Separator
ValueCountFrequency (%)
71
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 847
89.9%
Common 76
 
8.1%
Latin 19
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
임 107
 
12.6%
게 105
 
12.4%
드 91
 
10.7%
랜 77
 
9.1%
뽑 33
 
3.9%
기 26
 
3.1%
장 21
 
2.5%
방 13
 
1.5%
창 12
 
1.4%
인 12
 
1.4%
Other values (148) 350
41.3%
Latin
ValueCountFrequency (%)
C 2
 
10.5%
O 2
 
10.5%
P 2
 
10.5%
W 2
 
10.5%
S 1
 
5.3%
a 1
 
5.3%
D 1
 
5.3%
R 1
 
5.3%
X 1
 
5.3%
B 1
 
5.3%
Other values (5) 5
26.3%
Common
ValueCountFrequency (%)
71
93.4%
- 2
 
2.6%
) 1
 
1.3%
1 1
 
1.3%
( 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 847
89.9%
ASCII 95
 
10.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
임 107
 
12.6%
게 105
 
12.4%
드 91
 
10.7%
랜 77
 
9.1%
뽑 33
 
3.9%
기 26
 
3.1%
장 21
 
2.5%
방 13
 
1.5%
창 12
 
1.4%
인 12
 
1.4%
Other values (148) 350
41.3%
ASCII
ValueCountFrequency (%)
71
74.7%
- 2
 
2.1%
C 2
 
2.1%
O 2
 
2.1%
P 2
 
2.1%
W 2
 
2.1%
S 1
 
1.1%
) 1
 
1.1%
a 1
 
1.1%
D 1
 
1.1%
Other values (10) 10
 
10.5%

최종수정일자
Date

UNIQUE 

Distinct160
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2008-03-27 17:27:04
Maximum2024-03-22 17:26:46
2024-04-30T04:09:39.004132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:09:39.115588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
I
88 
U
72 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 88
55.0%
U 72
45.0%

Length

2024-04-30T04:09:39.227410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:39.313030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 88
55.0%
u 72
45.0%

데이터갱신일자
Categorical

Distinct48
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2018-08-31 23:59:59.0
82 
2020-01-04 02:40:00.0
14 
2020-01-10 02:40:00.0
13 
2021-10-31 00:09:00.0
 
3
2021-10-10 02:40:00.0
 
3
Other values (43)
45 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique41 ?
Unique (%)25.6%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 82
51.2%
2020-01-04 02:40:00.0 14
 
8.8%
2020-01-10 02:40:00.0 13
 
8.1%
2021-10-31 00:09:00.0 3
 
1.9%
2021-10-10 02:40:00.0 3
 
1.9%
2021-12-09 00:03:00.0 2
 
1.2%
2022-01-08 02:40:00.0 2
 
1.2%
2020-06-20 02:40:00.0 1
 
0.6%
2022-11-30 23:09:00.0 1
 
0.6%
2021-11-02 00:09:00.0 1
 
0.6%
Other values (38) 38
23.8%

Length

2024-04-30T04:09:39.397790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 82
25.6%
23:59:59.0 82
25.6%
02:40:00.0 52
16.2%
2020-01-04 14
 
4.4%
2020-01-10 13
 
4.1%
2021-10-31 4
 
1.2%
00:09:00.0 4
 
1.2%
2021-10-10 3
 
0.9%
22:09:00.0 2
 
0.6%
2021-11-01 2
 
0.6%
Other values (53) 62
19.4%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct96
Distinct (%)60.8%
Missing2
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean203670.58
Minimum202665.18
Maximum204357.38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-30T04:09:39.494886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202665.18
5-th percentile202918.62
Q1203335.71
median203667.59
Q3204075.56
95-th percentile204348.91
Maximum204357.38
Range1692.1979
Interquartile range (IQR)739.84632

Descriptive statistics

Standard deviation470.52622
Coefficient of variation (CV)0.0023102316
Kurtosis-1.0567964
Mean203670.58
Median Absolute Deviation (MAD)357.66926
Skewness-0.054076272
Sum32179952
Variance221394.92
MonotonicityNot monotonic
2024-04-30T04:09:39.603611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204335.057042232 9
 
5.6%
202918.623718823 6
 
3.8%
204354.5 6
 
3.8%
204247.213401781 6
 
3.8%
203502.673698465 5
 
3.1%
203792.581883331 4
 
2.5%
203667.588604972 4
 
2.5%
204004.945534634 4
 
2.5%
204263.706546457 4
 
2.5%
203707.350156589 4
 
2.5%
Other values (86) 106
66.2%
ValueCountFrequency (%)
202665.184973825 1
 
0.6%
202788.679518135 1
 
0.6%
202832.34405641 2
 
1.2%
202905.439654383 1
 
0.6%
202918.623718823 6
3.8%
202925.737880352 1
 
0.6%
202941.180765428 3
1.9%
202943.747074384 2
 
1.2%
202961.77299573 1
 
0.6%
202964.094355935 1
 
0.6%
ValueCountFrequency (%)
204357.382835077 1
 
0.6%
204354.5 6
3.8%
204348.91 2
 
1.2%
204335.057042232 9
5.6%
204327.535 2
 
1.2%
204317.264907404 3
 
1.9%
204285.331210395 1
 
0.6%
204263.706546457 4
2.5%
204258.587772043 3
 
1.9%
204247.213401781 6
3.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct96
Distinct (%)60.8%
Missing2
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean461703.93
Minimum459425.86
Maximum464644.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-30T04:09:39.720128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum459425.86
5-th percentile459641.17
Q1461093.09
median461224.01
Q3462637.98
95-th percentile463821.4
Maximum464644.87
Range5219.01
Interquartile range (IQR)1544.898

Descriptive statistics

Standard deviation1228.8571
Coefficient of variation (CV)0.0026615695
Kurtosis-0.40280543
Mean461703.93
Median Absolute Deviation (MAD)1072.3655
Skewness0.241841
Sum72949220
Variance1510089.7
MonotonicityNot monotonic
2024-04-30T04:09:39.830733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
461157.210858518 9
 
5.6%
460465.239442155 6
 
3.8%
461162.92 6
 
3.8%
461131.830916668 6
 
3.8%
462296.379602041 5
 
3.1%
463821.403297857 4
 
2.5%
462547.323892177 4
 
2.5%
461048.885008795 4
 
2.5%
461207.244729609 4
 
2.5%
462764.266861155 4
 
2.5%
Other values (86) 106
66.2%
ValueCountFrequency (%)
459425.86442942 1
0.6%
459467.444022286 1
0.6%
459520.660717027 1
0.6%
459531.29151445 1
0.6%
459548.102640663 1
0.6%
459569.620747172 1
0.6%
459582.95705917 1
0.6%
459584.582698404 1
0.6%
459651.160107779 1
0.6%
459663.094258652 1
0.6%
ValueCountFrequency (%)
464644.874400068 1
 
0.6%
464642.898266239 1
 
0.6%
464630.505734089 1
 
0.6%
464592.19632957 1
 
0.6%
464559.878016906 1
 
0.6%
463923.07047676 1
 
0.6%
463872.820880316 1
 
0.6%
463821.403297857 4
2.5%
463639.78547325 1
 
0.6%
463442.465123012 2
1.2%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
청소년게임제공업
139 
<NA>
21 

Length

Max length8
Median length8
Mean length7.475
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청소년게임제공업 139
86.9%
<NA> 21
 
13.1%

Length

2024-04-30T04:09:39.949832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:40.044288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소년게임제공업 139
86.9%
na 21
 
13.1%

문화사업자구분명
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
유통관련업
139 
<NA>
21 

Length

Max length5
Median length5
Mean length4.86875
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 139
86.9%
<NA> 21
 
13.1%

Length

2024-04-30T04:09:40.145072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:40.233004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 139
86.9%
na 21
 
13.1%

총층수
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)13.6%
Missing101
Missing (%)63.1%
Infinite0
Infinite (%)0.0%
Mean5.7966102
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-30T04:09:40.318708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.8
Q14
median5
Q37.5
95-th percentile14
Maximum14
Range13
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation3.2044132
Coefficient of variation (CV)0.55280813
Kurtosis0.88042092
Mean5.7966102
Median Absolute Deviation (MAD)1
Skewness1.1671412
Sum342
Variance10.268264
MonotonicityNot monotonic
2024-04-30T04:09:40.410161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 16
 
10.0%
5 13
 
8.1%
9 7
 
4.4%
3 7
 
4.4%
6 5
 
3.1%
14 4
 
2.5%
10 4
 
2.5%
1 3
 
1.9%
(Missing) 101
63.1%
ValueCountFrequency (%)
1 3
 
1.9%
3 7
4.4%
4 16
10.0%
5 13
8.1%
6 5
 
3.1%
9 7
4.4%
10 4
 
2.5%
14 4
 
2.5%
ValueCountFrequency (%)
14 4
 
2.5%
10 4
 
2.5%
9 7
4.4%
6 5
 
3.1%
5 13
8.1%
4 16
10.0%
3 7
4.4%
1 3
 
1.9%

주변환경명
Categorical

Distinct5
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
90 
주택가주변
38 
유흥업소밀집지역
18 
기타
10 
아파트지역
 
4

Length

Max length8
Median length4
Mean length4.5875
Min length2

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> 90
56.2%
주택가주변 38
23.8%
유흥업소밀집지역 18
 
11.2%
기타 10
 
6.2%
아파트지역 4
 
2.5%

Length

2024-04-30T04:09:40.519514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:40.610056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 90
56.2%
주택가주변 38
23.8%
유흥업소밀집지역 18
 
11.2%
기타 10
 
6.2%
아파트지역 4
 
2.5%

제작취급품목내용
Text

MISSING 

Distinct73
Distinct (%)90.1%
Missing79
Missing (%)49.4%
Memory size1.4 KiB
2024-04-30T04:09:40.812945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length20
Mean length10.444444
Min length2

Characters and Unicode

Total characters846
Distinct characters193
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)82.7%

Sample

1st row바다물방울(40대)
2nd row포경선(40대)
3rd row바캉스 대소동(AR-090622-006) : 40대
4th row太漁(태어) 40대
5th row아케이드게임물(아쿠아퀴즈)
ValueCountFrequency (%)
토이즈팝 7
 
5.5%
아케이드 6
 
4.7%
3
 
2.4%
게임(인형뽑기 3
 
2.4%
인형뽑기 3
 
2.4%
happy 2
 
1.6%
5대 2
 
1.6%
럭셔리러브푸쉬 2
 
1.6%
토이즈팝(1 2
 
1.6%
40대 2
 
1.6%
Other values (91) 95
74.8%
2024-04-30T04:09:41.132018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46
 
5.4%
이 36
 
4.3%
) 28
 
3.3%
( 28
 
3.3%
, 27
 
3.2%
드 26
 
3.1%
아 22
 
2.6%
케 20
 
2.4%
게 20
 
2.4%
임 20
 
2.4%
Other values (183) 573
67.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 561
66.3%
Decimal Number 74
 
8.7%
Space Separator 46
 
5.4%
Uppercase Letter 40
 
4.7%
Lowercase Letter 31
 
3.7%
Other Punctuation 30
 
3.5%
Close Punctuation 28
 
3.3%
Open Punctuation 28
 
3.3%
Dash Punctuation 8
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 36
 
6.4%
드 26
 
4.6%
아 22
 
3.9%
케 20
 
3.6%
게 20
 
3.6%
임 20
 
3.6%
스 20
 
3.6%
인 17
 
3.0%
토 16
 
2.9%
대 15
 
2.7%
Other values (140) 349
62.2%
Uppercase Letter
ValueCountFrequency (%)
H 5
12.5%
A 5
12.5%
S 5
12.5%
C 4
10.0%
N 4
10.0%
R 4
10.0%
E 3
7.5%
I 3
7.5%
U 2
 
5.0%
P 1
 
2.5%
Other values (4) 4
10.0%
Lowercase Letter
ValueCountFrequency (%)
a 6
19.4%
n 4
12.9%
p 4
12.9%
e 3
9.7%
c 3
9.7%
y 3
9.7%
i 2
 
6.5%
l 2
 
6.5%
w 1
 
3.2%
o 1
 
3.2%
Other values (2) 2
 
6.5%
Decimal Number
ValueCountFrequency (%)
1 18
24.3%
0 17
23.0%
4 11
14.9%
2 8
10.8%
6 6
 
8.1%
5 4
 
5.4%
3 4
 
5.4%
7 3
 
4.1%
8 2
 
2.7%
9 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
, 27
90.0%
: 2
 
6.7%
& 1
 
3.3%
Space Separator
ValueCountFrequency (%)
46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 559
66.1%
Common 214
 
25.3%
Latin 71
 
8.4%
Han 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 36
 
6.4%
드 26
 
4.7%
아 22
 
3.9%
케 20
 
3.6%
게 20
 
3.6%
임 20
 
3.6%
스 20
 
3.6%
인 17
 
3.0%
토 16
 
2.9%
대 15
 
2.7%
Other values (138) 347
62.1%
Latin
ValueCountFrequency (%)
a 6
 
8.5%
H 5
 
7.0%
A 5
 
7.0%
S 5
 
7.0%
C 4
 
5.6%
N 4
 
5.6%
n 4
 
5.6%
p 4
 
5.6%
R 4
 
5.6%
e 3
 
4.2%
Other values (16) 27
38.0%
Common
ValueCountFrequency (%)
46
21.5%
) 28
13.1%
( 28
13.1%
, 27
12.6%
1 18
 
8.4%
0 17
 
7.9%
4 11
 
5.1%
- 8
 
3.7%
2 8
 
3.7%
6 6
 
2.8%
Other values (7) 17
 
7.9%
Han
ValueCountFrequency (%)
漁 1
50.0%
太 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 559
66.1%
ASCII 285
33.7%
CJK 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
46
16.1%
) 28
 
9.8%
( 28
 
9.8%
, 27
 
9.5%
1 18
 
6.3%
0 17
 
6.0%
4 11
 
3.9%
- 8
 
2.8%
2 8
 
2.8%
a 6
 
2.1%
Other values (33) 88
30.9%
Hangul
ValueCountFrequency (%)
이 36
 
6.4%
드 26
 
4.7%
아 22
 
3.9%
케 20
 
3.6%
게 20
 
3.6%
임 20
 
3.6%
스 20
 
3.6%
인 17
 
3.0%
토 16
 
2.9%
대 15
 
2.7%
Other values (138) 347
62.1%
CJK
ValueCountFrequency (%)
漁 1
50.0%
太 1
50.0%

시설면적
Real number (ℝ)

MISSING 

Distinct106
Distinct (%)76.8%
Missing22
Missing (%)13.8%
Infinite0
Infinite (%)0.0%
Mean115.50862
Minimum13.2
Maximum358.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-30T04:09:41.247608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13.2
5-th percentile23.085
Q177.745
median119.675
Q3147.6025
95-th percentile197.42
Maximum358.12
Range344.92
Interquartile range (IQR)69.8575

Descriptive statistics

Standard deviation63.147576
Coefficient of variation (CV)0.54669145
Kurtosis2.1003576
Mean115.50862
Median Absolute Deviation (MAD)28.765
Skewness0.78325002
Sum15940.19
Variance3987.6164
MonotonicityNot monotonic
2024-04-30T04:09:41.381797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
103.62 3
 
1.9%
30.0 3
 
1.9%
144.0 3
 
1.9%
106.51 3
 
1.9%
197.42 3
 
1.9%
141.11 3
 
1.9%
130.0 3
 
1.9%
147.87 2
 
1.2%
92.0 2
 
1.2%
131.76 2
 
1.2%
Other values (96) 111
69.4%
(Missing) 22
 
13.8%
ValueCountFrequency (%)
13.2 1
0.6%
16.5 1
0.6%
18.0 1
0.6%
18.37 1
0.6%
22.0 2
1.2%
23.0 1
0.6%
23.1 2
1.2%
25.45 1
0.6%
26.0 1
0.6%
26.3 1
0.6%
ValueCountFrequency (%)
358.12 1
 
0.6%
349.17 1
 
0.6%
283.89 1
 
0.6%
282.73 1
 
0.6%
270.0 1
 
0.6%
197.47 1
 
0.6%
197.42 3
1.9%
187.43 1
 
0.6%
187.25 1
 
0.6%
181.18 2
1.2%

지상층수
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)15.5%
Missing102
Missing (%)63.7%
Infinite0
Infinite (%)0.0%
Mean4.4137931
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-30T04:09:41.492167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35.75
95-th percentile8.15
Maximum9
Range8
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation2.1360275
Coefficient of variation (CV)0.48394373
Kurtosis-0.49375016
Mean4.4137931
Median Absolute Deviation (MAD)1
Skewness0.72161841
Sum256
Variance4.5626134
MonotonicityNot monotonic
2024-04-30T04:09:41.589289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3 17
 
10.6%
4 13
 
8.1%
7 7
 
4.4%
2 6
 
3.8%
5 5
 
3.1%
8 4
 
2.5%
9 3
 
1.9%
1 2
 
1.2%
6 1
 
0.6%
(Missing) 102
63.7%
ValueCountFrequency (%)
1 2
 
1.2%
2 6
 
3.8%
3 17
10.6%
4 13
8.1%
5 5
 
3.1%
6 1
 
0.6%
7 7
4.4%
8 4
 
2.5%
9 3
 
1.9%
ValueCountFrequency (%)
9 3
 
1.9%
8 4
 
2.5%
7 7
4.4%
6 1
 
0.6%
5 5
 
3.1%
4 13
8.1%
3 17
10.6%
2 6
 
3.8%
1 2
 
1.2%

지하층수
Categorical

Distinct4
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
104 
1
40 
2
12 
5
 
4

Length

Max length4
Median length4
Mean length2.95
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> 104
65.0%
1 40
 
25.0%
2 12
 
7.5%
5 4
 
2.5%

Length

2024-04-30T04:09:41.695203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:41.781847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
65.0%
1 40
 
25.0%
2 12
 
7.5%
5 4
 
2.5%

건물용도명
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
85 
근린생활시설
73 
기타
 
2

Length

Max length6
Median length4
Mean length4.8875
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 85
53.1%
근린생활시설 73
45.6%
기타 2
 
1.2%

Length

2024-04-30T04:09:41.878200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:41.978307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 85
53.1%
근린생활시설 73
45.6%
기타 2
 
1.2%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

총게임기수
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)38.8%
Missing111
Missing (%)69.4%
Infinite0
Infinite (%)0.0%
Mean34.020408
Minimum5
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-30T04:09:42.063693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6.4
Q116
median40
Q350
95-th percentile60
Maximum70
Range65
Interquartile range (IQR)34

Descriptive statistics

Standard deviation18.675396
Coefficient of variation (CV)0.54894685
Kurtosis-1.0051455
Mean34.020408
Median Absolute Deviation (MAD)10
Skewness-0.1631766
Sum1667
Variance348.77041
MonotonicityNot monotonic
2024-04-30T04:09:42.153901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
40 15
 
9.4%
50 8
 
5.0%
8 3
 
1.9%
60 3
 
1.9%
10 2
 
1.2%
20 2
 
1.2%
70 2
 
1.2%
7 2
 
1.2%
6 2
 
1.2%
9 1
 
0.6%
Other values (9) 9
 
5.6%
(Missing) 111
69.4%
ValueCountFrequency (%)
5 1
 
0.6%
6 2
1.2%
7 2
1.2%
8 3
1.9%
9 1
 
0.6%
10 2
1.2%
11 1
 
0.6%
16 1
 
0.6%
17 1
 
0.6%
20 2
1.2%
ValueCountFrequency (%)
70 2
 
1.2%
60 3
 
1.9%
50 8
5.0%
48 1
 
0.6%
40 15
9.4%
39 1
 
0.6%
37 1
 
0.6%
30 1
 
0.6%
25 1
 
0.6%
20 2
 
1.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

제공게임물명
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
전체이용가
120 
<NA>
39 
청소년이용불가
 
1

Length

Max length7
Median length5
Mean length4.76875
Min length4

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
전체이용가 120
75.0%
<NA> 39
 
24.4%
청소년이용불가 1
 
0.6%

Length

2024-04-30T04:09:42.265495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:42.357811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체이용가 120
75.0%
na 39
 
24.4%
청소년이용불가 1
 
0.6%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

지역구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
131 
주거지역
15 
일반주거지역
 
5
일반상업지역
 
3
상업지역
 
3
Other values (2)
 
3

Length

Max length6
Median length4
Mean length4.11875
Min length4

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 131
81.9%
주거지역 15
 
9.4%
일반주거지역 5
 
3.1%
일반상업지역 3
 
1.9%
상업지역 3
 
1.9%
준공업지역 2
 
1.2%
준주거지역 1
 
0.6%

Length

2024-04-30T04:09:42.474171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:42.599152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 131
81.9%
주거지역 15
 
9.4%
일반주거지역 5
 
3.1%
일반상업지역 3
 
1.9%
상업지역 3
 
1.9%
준공업지역 2
 
1.2%
준주거지역 1
 
0.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03090000CDFF224114200700000120071112<NA>3폐업3폐업20121205<NA><NA><NA><NA><NA>132847서울특별시 도봉구 방학동 657-1번지 1층서울특별시 도봉구 도당로27길 8 (방학동,1층)<NA>신세대 게임장2012-12-05 09:17:39I2018-08-31 23:59:59.0<NA>203553.044693462809.194825청소년게임제공업유통관련업<NA><NA><NA>61.2<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
13090000CDFF224114200700000220071114<NA>3폐업3폐업20140627<NA><NA><NA>3492-7263<NA><NA>서울특별시 도봉구 방학동 703-65번지 2층서울특별시 도봉구 도봉로 675 (방학동,2층)<NA>우리들의 놀이터2014-06-27 15:12:46I2018-08-31 23:59:59.0<NA>203667.956662462483.140794청소년게임제공업유통관련업<NA><NA><NA>150.0<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23090000CDFF224114200700000320071114<NA>3폐업3폐업20110901<NA><NA><NA>3493-2600<NA><NA>서울특별시 도봉구 방학동 602-31번지 1층서울특별시 도봉구 시루봉로17길 4 (방학동,1층)<NA>방학 컴퓨터게임장2017-11-01 17:15:10I2018-08-31 23:59:59.0<NA>202964.094356462880.525172청소년게임제공업유통관련업<NA><NA><NA>23.1<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33090000CDFF224114200800000120080107201106214취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 655-23번지 지1층서울특별시 도봉구 도봉로 458 (창동,지1층)<NA>삼화게임랜드2017-11-01 17:16:33I2018-08-31 23:59:59.0<NA>202918.623719460465.239442청소년게임제공업유통관련업<NA><NA><NA>126.68<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50<NA>전체이용가<NA><NA><NA><NA>
43090000CDFF224114200800000220080125<NA>3폐업3폐업20080327<NA><NA><NA><NA><NA>132898서울특별시 도봉구 창동 10-1번지 2층(6,7호)서울특별시 도봉구 노해로69길 15-15 (창동,2층(6,7호))<NA>라이센스 게임랜드2008-03-27 17:27:04I2018-08-31 23:59:59.0<NA>204354.5461162.92청소년게임제공업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53090000CDFF224114200800000320080416201003304취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 쌍문동 601번지 지1층서울특별시 도봉구 도봉로133길 8 (쌍문동,지1층)<NA>햇님2010-03-16 09:28:53I2018-08-31 23:59:59.0<NA>203394.40396461673.069002청소년게임제공업유통관련업<NA><NA>바다물방울(40대)66.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
63090000CDFF224114200800000420080520<NA>3폐업3폐업20121002<NA><NA><NA>903-0831<NA>132030서울특별시 도봉구 쌍문동 192-11번지 지하1층서울특별시 도봉구 해등로 202 (쌍문동,지하1층)<NA>샘터 게임장2012-10-02 18:19:21I2018-08-31 23:59:59.0<NA>202961.772996461765.487023청소년게임제공업유통관련업5아파트지역<NA>123.0341근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>37<NA><NA><NA><NA><NA><NA>
73090000CDFF224114200800000520080603201001154취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 581-76번지 지층1호서울특별시 도봉구 덕릉로 239 (창동,지층1호)<NA>창일 게임랜드2010-01-14 17:09:33I2018-08-31 23:59:59.0<NA>203306.984665459651.160108청소년게임제공업유통관련업5기타포경선(40대)180.041근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50<NA><NA><NA><NA><NA><NA>
83090000CDFF224114200800000620080609200812224취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>132918서울특별시 도봉구 창동 581-71번지 지하1층서울특별시 도봉구 덕릉로 251 (창동,지하1층)<NA>미래게임랜드2008-12-03 10:38:39I2018-08-31 23:59:59.0<NA>203383.359766459756.215389청소년게임제공업유통관련업5기타<NA>142.1641근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준공업지역
93090000CDFF224114200800000720080707200911274취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>903-9781<NA><NA>서울특별시 도봉구 창동 12번지 3층서울특별시 도봉구 노해로69길 21-15 (창동,3층)<NA>스타게임장2009-11-27 14:05:20I2018-08-31 23:59:59.0<NA>204327.535461189.55청소년게임제공업유통관련업5유흥업소밀집지역<NA>349.1741근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50<NA><NA><NA><NA><NA>일반상업지역
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
1503090000CDFF224114202000000520201231<NA>3폐업3폐업20211228<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 10서울특별시 도봉구 노해로69길 15-15, 지하1층 (창동)1414필드게임랜드2021-12-28 10:05:57U2021-12-30 02:40:00.0<NA>204335.057042461157.210859청소년게임제공업유통관련업<NA><NA><NA>128.46<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>60<NA>전체이용가<NA><NA><NA><NA>
1513090000CDFF224114202100000120210423<NA>3폐업3폐업20211012<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 655-23서울특별시 도봉구 도봉로 458, 지층 (창동)1455골드 게임랜드2021-10-13 08:43:09U2021-10-15 02:40:00.0<NA>202918.623719460465.239442청소년게임제공업유통관련업<NA><NA>HURRICANE(허리케인)187.25<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>70<NA>전체이용가<NA><NA><NA><NA>
1523090000CDFF224114202100000220210608<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 방학동 646-44서울특별시 도봉구 도당로27길 43, 1층 (방학동)1352토이샵2021-06-08 10:39:27I2021-06-10 00:22:55.0<NA>203529.640536462991.016722청소년게임제공업유통관련업<NA><NA>토이즈팝, 럭셔리러브푸쉬26.3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
1533090000CDFF224114202100000320211013<NA>3폐업3폐업20220726<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 655-23서울특별시 도봉구 도봉로 458, 지층 (창동)1455필드 게임랜드2022-07-27 08:32:34U2021-12-06 22:09:00.0<NA>202918.623719460465.239442<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1543090000CDFF224114202100000420211229<NA>3폐업3폐업20221031<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 10서울특별시 도봉구 노해로69길 15-15, 지층 (창동)1414점보게임랜드2022-10-31 18:08:55U2021-11-01 00:02:00.0<NA>204335.057042461157.210859<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1553090000CDFF224114202200000120220728<NA>3폐업3폐업20221026<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 655-23서울특별시 도봉구 도봉로 458, 지층 (창동)1455실버게임랜드2022-10-27 14:29:43U2021-10-30 22:09:00.0<NA>202918.623719460465.239442<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1563090000CDFF224114202200000220220907<NA>3폐업3폐업20230111<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 10서울특별시 도봉구 노해로69길 15-15, 206, 207호 (창동)1414드림게임랜드2023-01-12 15:37:16U2022-11-30 23:04:00.0<NA>204335.057042461157.210859<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1573090000CDFF22411420220000032022-10-28<NA>3폐업3폐업2023-06-15<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 655-23서울특별시 도봉구 도봉로 458, 지층 (창동)1455나무게임랜드2023-06-15 18:18:06U2022-12-05 23:07:00.0<NA>202918.623719460465.239442<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1583090000CDFF224114202200000420221123<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 방학동 690-40서울특별시 도봉구 도봉로145길 69, 1층 (방학동)1344명품뽑기방2022-11-23 09:03:23I2021-10-31 22:05:00.0<NA>203335.54788462461.188904<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1593090000CDFF22411420230000012023-06-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 655-23 지하1층서울특별시 도봉구 도봉로 458, 지하1층 (창동)1455나무게임랜드2023-06-26 13:28:34I2022-12-05 22:08:00.0<NA>202918.623719460465.239442<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>