Overview

Dataset statistics

Number of variables56
Number of observations197
Missing cells5773
Missing cells (%)52.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory93.4 KiB
Average record size in memory485.7 B

Variable types

Categorical14
Text6
DateTime3
Numeric10
Unsupported23

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
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-16824/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
데이터갱신일자 is highly imbalanced (51.2%)Imbalance
주변환경명 is highly imbalanced (52.9%)Imbalance
제공게임물명 is highly imbalanced (54.6%)Imbalance
지역구분명 is highly imbalanced (57.4%)Imbalance
인허가취소일자 has 140 (71.1%) missing valuesMissing
폐업일자 has 79 (40.1%) missing valuesMissing
휴업시작일자 has 197 (100.0%) missing valuesMissing
휴업종료일자 has 197 (100.0%) missing valuesMissing
재개업일자 has 197 (100.0%) missing valuesMissing
전화번호 has 180 (91.4%) missing valuesMissing
소재지면적 has 197 (100.0%) missing valuesMissing
소재지우편번호 has 181 (91.9%) missing valuesMissing
도로명주소 has 12 (6.1%) missing valuesMissing
도로명우편번호 has 96 (48.7%) missing valuesMissing
업태구분명 has 197 (100.0%) missing valuesMissing
총층수 has 69 (35.0%) missing valuesMissing
제작취급품목내용 has 99 (50.3%) missing valuesMissing
시설면적 has 38 (19.3%) missing valuesMissing
지상층수 has 71 (36.0%) missing valuesMissing
통로너비 has 197 (100.0%) missing valuesMissing
조명시설조도 has 170 (86.3%) missing valuesMissing
노래방실수 has 197 (100.0%) missing valuesMissing
청소년실수 has 197 (100.0%) missing valuesMissing
비상계단여부 has 197 (100.0%) missing valuesMissing
비상구여부 has 197 (100.0%) missing valuesMissing
자동환기여부 has 197 (100.0%) missing valuesMissing
청소년실여부 has 197 (100.0%) missing valuesMissing
특수조명여부 has 197 (100.0%) missing valuesMissing
방음시설여부 has 197 (100.0%) missing valuesMissing
비디오재생기명 has 197 (100.0%) missing valuesMissing
조명시설유무 has 197 (100.0%) missing valuesMissing
음향시설여부 has 197 (100.0%) missing valuesMissing
편의시설여부 has 197 (100.0%) missing valuesMissing
소방시설여부 has 197 (100.0%) missing valuesMissing
총게임기수 has 105 (53.3%) missing valuesMissing
기존게임업외업종명 has 197 (100.0%) missing valuesMissing
공연장형태구분명 has 197 (100.0%) missing valuesMissing
품목명 has 197 (100.0%) missing valuesMissing
최초등록시점 has 197 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
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
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
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 started2024-05-11 05:22:57.631400
Analysis finished2024-05-11 05:22:59.000718
Duration1.37 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
3070000
197 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3070000
2nd row3070000
3rd row3070000
4th row3070000
5th row3070000

Common Values

ValueCountFrequency (%)
3070000 197
100.0%

Length

2024-05-11T14:22:59.122359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:59.282419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3070000 197
100.0%

관리번호
Text

UNIQUE 

Distinct197
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-05-11T14:22:59.533288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3940
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

Unique197 ?
Unique (%)100.0%

Sample

1st rowCDFF2241142007000001
2nd rowCDFF2241142007000002
3rd rowCDFF2241142007000003
4th rowCDFF2241142007000004
5th rowCDFF2241142007000005
ValueCountFrequency (%)
cdff2241142007000001 1
 
0.5%
cdff2241142011000010 1
 
0.5%
cdff2241142016000002 1
 
0.5%
cdff2241142016000003 1
 
0.5%
cdff2241142016000004 1
 
0.5%
cdff2241142016000005 1
 
0.5%
cdff2241142016000006 1
 
0.5%
cdff2241142016000007 1
 
0.5%
cdff2241142016000008 1
 
0.5%
cdff2241142016000009 1
 
0.5%
Other values (187) 187
94.9%
2024-05-11T14:22:59.928398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1203
30.5%
2 653
16.6%
1 593
15.1%
4 428
 
10.9%
F 394
 
10.0%
C 197
 
5.0%
D 197
 
5.0%
9 68
 
1.7%
7 47
 
1.2%
3 45
 
1.1%
Other values (3) 115
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3152
80.0%
Uppercase Letter 788
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1203
38.2%
2 653
20.7%
1 593
18.8%
4 428
 
13.6%
9 68
 
2.2%
7 47
 
1.5%
3 45
 
1.4%
6 45
 
1.4%
8 42
 
1.3%
5 28
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
F 394
50.0%
C 197
25.0%
D 197
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3152
80.0%
Latin 788
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1203
38.2%
2 653
20.7%
1 593
18.8%
4 428
 
13.6%
9 68
 
2.2%
7 47
 
1.5%
3 45
 
1.4%
6 45
 
1.4%
8 42
 
1.3%
5 28
 
0.9%
Latin
ValueCountFrequency (%)
F 394
50.0%
C 197
25.0%
D 197
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3940
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1203
30.5%
2 653
16.6%
1 593
15.1%
4 428
 
10.9%
F 394
 
10.0%
C 197
 
5.0%
D 197
 
5.0%
9 68
 
1.7%
7 47
 
1.2%
3 45
 
1.1%
Other values (3) 115
 
2.9%

인허가일자
Date

Distinct181
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2007-10-04 00:00:00
Maximum2023-08-29 00:00:00
2024-05-11T14:23:00.116642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:23:00.328383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)80.7%
Missing140
Missing (%)71.1%
Infinite0
Infinite (%)0.0%
Mean20109686
Minimum20081013
Maximum20181212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-05-11T14:23:00.506223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20081013
5-th percentile20090796
Q120100218
median20100624
Q320111121
95-th percentile20171067
Maximum20181212
Range100199
Interquartile range (IQR)10903

Descriptive statistics

Standard deviation21975.377
Coefficient of variation (CV)0.0010927757
Kurtosis4.1882609
Mean20109686
Median Absolute Deviation (MAD)9683
Skewness2.0664702
Sum1.1462521 × 109
Variance4.8291719 × 108
MonotonicityNot monotonic
2024-05-11T14:23:00.729758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
20100219 5
 
2.5%
20091217 3
 
1.5%
20100218 3
 
1.5%
20181212 2
 
1.0%
20111121 2
 
1.0%
20100422 2
 
1.0%
20111013 1
 
0.5%
20111012 1
 
0.5%
20110926 1
 
0.5%
20120802 1
 
0.5%
Other values (36) 36
 
18.3%
(Missing) 140
71.1%
ValueCountFrequency (%)
20081013 1
 
0.5%
20090203 1
 
0.5%
20090305 1
 
0.5%
20090919 1
 
0.5%
20091012 1
 
0.5%
20091022 1
 
0.5%
20091217 3
1.5%
20091224 1
 
0.5%
20091230 1
 
0.5%
20100115 1
 
0.5%
ValueCountFrequency (%)
20181212 2
1.0%
20171212 1
0.5%
20171031 1
0.5%
20151022 1
0.5%
20131127 1
0.5%
20131120 1
0.5%
20120802 1
0.5%
20120621 1
0.5%
20120521 1
0.5%
20120319 1
0.5%

영업상태코드
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
3
102 
4
73 
1
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row1
4th row1
5th row4

Common Values

ValueCountFrequency (%)
3 102
51.8%
4 73
37.1%
1 22
 
11.2%

Length

2024-05-11T14:23:00.899545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:23:01.038594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 102
51.8%
4 73
37.1%
1 22
 
11.2%

영업상태명
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
폐업
102 
취소/말소/만료/정지/중지
73 
영업/정상
22 

Length

Max length14
Median length2
Mean length6.7817259
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 102
51.8%
취소/말소/만료/정지/중지 73
37.1%
영업/정상 22
 
11.2%

Length

2024-05-11T14:23:01.188297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:23:01.346826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 102
51.8%
취소/말소/만료/정지/중지 73
37.1%
영업/정상 22
 
11.2%

상세영업상태코드
Categorical

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
3
102 
31
57 
13
22 
35
16 

Length

Max length2
Median length1
Mean length1.4822335
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row13
4th row13
5th row35

Common Values

ValueCountFrequency (%)
3 102
51.8%
31 57
28.9%
13 22
 
11.2%
35 16
 
8.1%

Length

2024-05-11T14:23:01.516206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:23:01.653914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 102
51.8%
31 57
28.9%
13 22
 
11.2%
35 16
 
8.1%

상세영업상태명
Categorical

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
폐업
102 
등록취소
57 
영업중
22 
직권말소
16 

Length

Max length4
Median length2
Mean length2.8527919
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 102
51.8%
등록취소 57
28.9%
영업중 22
 
11.2%
직권말소 16
 
8.1%

Length

2024-05-11T14:23:01.826711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:23:01.986170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 102
51.8%
등록취소 57
28.9%
영업중 22
 
11.2%
직권말소 16
 
8.1%

폐업일자
Date

MISSING 

Distinct97
Distinct (%)82.2%
Missing79
Missing (%)40.1%
Memory size1.7 KiB
Minimum2008-05-30 00:00:00
Maximum2024-03-19 00:00:00
2024-05-11T14:23:02.138488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:23:02.303231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing197
Missing (%)100.0%
Memory size1.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing197
Missing (%)100.0%
Memory size1.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing197
Missing (%)100.0%
Memory size1.9 KiB

전화번호
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing180
Missing (%)91.4%
Memory size1.7 KiB
2024-05-11T14:23:02.518984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.117647
Min length7

Characters and Unicode

Total characters172
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)100.0%

Sample

1st row02-953-1430
2nd row02-6414-5050
3rd row9215581
4th row02-3673-5874
5th row6406-8373
ValueCountFrequency (%)
02-953-1430 1
 
5.3%
941-7121 1
 
5.3%
3672 1
 
5.3%
02 1
 
5.3%
02-911-4392 1
 
5.3%
02-921-3111 1
 
5.3%
936-9766 1
 
5.3%
02-914-6966 1
 
5.3%
821-1501 1
 
5.3%
6317-7266 1
 
5.3%
Other values (9) 9
47.4%
2024-05-11T14:23:02.932738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 24
14.0%
0 20
11.6%
1 20
11.6%
2 19
11.0%
6 19
11.0%
9 15
8.7%
3 11
6.4%
4 11
6.4%
7 11
6.4%
5 10
5.8%
Other values (2) 12
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 146
84.9%
Dash Punctuation 24
 
14.0%
Space Separator 2
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 20
13.7%
1 20
13.7%
2 19
13.0%
6 19
13.0%
9 15
10.3%
3 11
7.5%
4 11
7.5%
7 11
7.5%
5 10
6.8%
8 10
6.8%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 172
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 24
14.0%
0 20
11.6%
1 20
11.6%
2 19
11.0%
6 19
11.0%
9 15
8.7%
3 11
6.4%
4 11
6.4%
7 11
6.4%
5 10
5.8%
Other values (2) 12
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 172
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 24
14.0%
0 20
11.6%
1 20
11.6%
2 19
11.0%
6 19
11.0%
9 15
8.7%
3 11
6.4%
4 11
6.4%
7 11
6.4%
5 10
5.8%
Other values (2) 12
7.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing197
Missing (%)100.0%
Memory size1.9 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)50.0%
Missing181
Missing (%)91.9%
Infinite0
Infinite (%)0.0%
Mean136494.44
Minimum136041
Maximum136849
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-05-11T14:23:03.061845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum136041
5-th percentile136041
Q1136075
median136817.5
Q3136826.5
95-th percentile136839.25
Maximum136849
Range808
Interquartile range (IQR)751.5

Descriptive statistics

Standard deviation391.10595
Coefficient of variation (CV)0.0028653618
Kurtosis-2.2115008
Mean136494.44
Median Absolute Deviation (MAD)25
Skewness-0.27994978
Sum2183911
Variance152963.86
MonotonicityNot monotonic
2024-05-11T14:23:03.182436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
136075 5
 
2.5%
136041 2
 
1.0%
136826 2
 
1.0%
136818 2
 
1.0%
136836 2
 
1.0%
136828 1
 
0.5%
136817 1
 
0.5%
136849 1
 
0.5%
(Missing) 181
91.9%
ValueCountFrequency (%)
136041 2
 
1.0%
136075 5
2.5%
136817 1
 
0.5%
136818 2
 
1.0%
136826 2
 
1.0%
136828 1
 
0.5%
136836 2
 
1.0%
136849 1
 
0.5%
ValueCountFrequency (%)
136849 1
 
0.5%
136836 2
 
1.0%
136828 1
 
0.5%
136826 2
 
1.0%
136818 2
 
1.0%
136817 1
 
0.5%
136075 5
2.5%
136041 2
 
1.0%

지번주소
Text

Distinct180
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-05-11T14:23:03.527644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length33
Mean length23.837563
Min length18

Characters and Unicode

Total characters4696
Distinct characters87
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique167 ?
Unique (%)84.8%

Sample

1st row서울특별시 성북구 동선동1가 43번지
2nd row서울특별시 성북구 안암동5가 15-100번지 지층동
3rd row서울특별시 성북구 안암동5가 15-33
4th row서울특별시 성북구 안암동5가 93-14
5th row서울특별시 성북구 안암동5가 104-6번지
ValueCountFrequency (%)
서울특별시 197
22.3%
성북구 197
22.3%
장위동 42
 
4.8%
하월곡동 32
 
3.6%
동선동1가 28
 
3.2%
석관동 27
 
3.1%
2층 22
 
2.5%
안암동5가 17
 
1.9%
정릉동 14
 
1.6%
1층 11
 
1.2%
Other values (200) 295
33.4%
2024-05-11T14:23:04.055916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
843
18.0%
동 231
 
4.9%
1 203
 
4.3%
구 200
 
4.3%
시 199
 
4.2%
성 198
 
4.2%
서 197
 
4.2%
특 197
 
4.2%
별 197
 
4.2%
북 197
 
4.2%
Other values (77) 2034
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2746
58.5%
Decimal Number 925
 
19.7%
Space Separator 843
 
18.0%
Dash Punctuation 165
 
3.5%
Close Punctuation 7
 
0.1%
Open Punctuation 7
 
0.1%
Uppercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 231
 
8.4%
구 200
 
7.3%
시 199
 
7.2%
성 198
 
7.2%
서 197
 
7.2%
특 197
 
7.2%
별 197
 
7.2%
북 197
 
7.2%
울 197
 
7.2%
지 177
 
6.4%
Other values (60) 756
27.5%
Decimal Number
ValueCountFrequency (%)
1 203
21.9%
2 135
14.6%
3 118
12.8%
6 83
9.0%
5 80
 
8.6%
0 77
 
8.3%
4 67
 
7.2%
7 64
 
6.9%
8 55
 
5.9%
9 43
 
4.6%
Space Separator
ValueCountFrequency (%)
843
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 165
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2746
58.5%
Common 1949
41.5%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 231
 
8.4%
구 200
 
7.3%
시 199
 
7.2%
성 198
 
7.2%
서 197
 
7.2%
특 197
 
7.2%
별 197
 
7.2%
북 197
 
7.2%
울 197
 
7.2%
지 177
 
6.4%
Other values (60) 756
27.5%
Common
ValueCountFrequency (%)
843
43.3%
1 203
 
10.4%
- 165
 
8.5%
2 135
 
6.9%
3 118
 
6.1%
6 83
 
4.3%
5 80
 
4.1%
0 77
 
4.0%
4 67
 
3.4%
7 64
 
3.3%
Other values (6) 114
 
5.8%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2746
58.5%
ASCII 1949
41.5%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
843
43.3%
1 203
 
10.4%
- 165
 
8.5%
2 135
 
6.9%
3 118
 
6.1%
6 83
 
4.3%
5 80
 
4.1%
0 77
 
4.0%
4 67
 
3.4%
7 64
 
3.3%
Other values (6) 114
 
5.8%
Hangul
ValueCountFrequency (%)
동 231
 
8.4%
구 200
 
7.3%
시 199
 
7.2%
성 198
 
7.2%
서 197
 
7.2%
특 197
 
7.2%
별 197
 
7.2%
북 197
 
7.2%
울 197
 
7.2%
지 177
 
6.4%
Other values (60) 756
27.5%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

도로명주소
Text

MISSING 

Distinct174
Distinct (%)94.1%
Missing12
Missing (%)6.1%
Memory size1.7 KiB
2024-05-11T14:23:04.356831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length40
Mean length29.383784
Min length22

Characters and Unicode

Total characters5436
Distinct characters128
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

Unique166 ?
Unique (%)89.7%

Sample

1st row서울특별시 성북구 동소문로20길 31 (동선동1가)
2nd row서울특별시 성북구 개운사길 22-2, 지층동 (안암동5가)
3rd row서울특별시 성북구 고려대로27길 19 (안암동5가)
4th row서울특별시 성북구 고려대로 98 (안암동5가)
5th row서울특별시 성북구 인촌로24길 58-5 (안암동5가)
ValueCountFrequency (%)
서울특별시 185
 
17.9%
성북구 185
 
17.9%
1층 46
 
4.4%
동선동1가 26
 
2.5%
장위동 23
 
2.2%
하월곡동 21
 
2.0%
화랑로 16
 
1.5%
안암동5가 14
 
1.4%
장위로 14
 
1.4%
석관동 13
 
1.3%
Other values (248) 491
47.5%
2024-05-11T14:23:04.939327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
930
 
17.1%
동 253
 
4.7%
1 219
 
4.0%
( 190
 
3.5%
) 190
 
3.5%
구 188
 
3.5%
시 187
 
3.4%
성 187
 
3.4%
울 185
 
3.4%
서 185
 
3.4%
Other values (118) 2722
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3173
58.4%
Space Separator 930
 
17.1%
Decimal Number 789
 
14.5%
Open Punctuation 190
 
3.5%
Close Punctuation 190
 
3.5%
Other Punctuation 136
 
2.5%
Dash Punctuation 25
 
0.5%
Uppercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 253
 
8.0%
구 188
 
5.9%
시 187
 
5.9%
성 187
 
5.9%
울 185
 
5.8%
서 185
 
5.8%
북 185
 
5.8%
별 185
 
5.8%
특 185
 
5.8%
로 183
 
5.8%
Other values (101) 1250
39.4%
Decimal Number
ValueCountFrequency (%)
1 219
27.8%
2 164
20.8%
3 74
 
9.4%
5 68
 
8.6%
4 61
 
7.7%
7 44
 
5.6%
0 44
 
5.6%
6 44
 
5.6%
8 39
 
4.9%
9 32
 
4.1%
Space Separator
ValueCountFrequency (%)
930
100.0%
Open Punctuation
ValueCountFrequency (%)
( 190
100.0%
Close Punctuation
ValueCountFrequency (%)
) 190
100.0%
Other Punctuation
ValueCountFrequency (%)
, 136
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3173
58.4%
Common 2261
41.6%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 253
 
8.0%
구 188
 
5.9%
시 187
 
5.9%
성 187
 
5.9%
울 185
 
5.8%
서 185
 
5.8%
북 185
 
5.8%
별 185
 
5.8%
특 185
 
5.8%
로 183
 
5.8%
Other values (101) 1250
39.4%
Common
ValueCountFrequency (%)
930
41.1%
1 219
 
9.7%
( 190
 
8.4%
) 190
 
8.4%
2 164
 
7.3%
, 136
 
6.0%
3 74
 
3.3%
5 68
 
3.0%
4 61
 
2.7%
7 44
 
1.9%
Other values (6) 185
 
8.2%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3173
58.4%
ASCII 2263
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
930
41.1%
1 219
 
9.7%
( 190
 
8.4%
) 190
 
8.4%
2 164
 
7.2%
, 136
 
6.0%
3 74
 
3.3%
5 68
 
3.0%
4 61
 
2.7%
7 44
 
1.9%
Other values (7) 187
 
8.3%
Hangul
ValueCountFrequency (%)
동 253
 
8.0%
구 188
 
5.9%
시 187
 
5.9%
성 187
 
5.9%
울 185
 
5.8%
서 185
 
5.8%
북 185
 
5.8%
별 185
 
5.8%
특 185
 
5.8%
로 183
 
5.8%
Other values (101) 1250
39.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)45.5%
Missing96
Missing (%)48.7%
Infinite0
Infinite (%)0.0%
Mean18700.584
Minimum2709
Maximum136868
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-05-11T14:23:05.158905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2709
5-th percentile2711
Q12751
median2842
Q32849
95-th percentile136830
Maximum136868
Range134159
Interquartile range (IQR)98

Descriptive statistics

Standard deviation43531.415
Coefficient of variation (CV)2.3278104
Kurtosis3.7958157
Mean18700.584
Median Absolute Deviation (MAD)61
Skewness2.3918529
Sum1888759
Variance1.8949841 × 109
MonotonicityNot monotonic
2024-05-11T14:23:05.354493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
2845 24
 
12.2%
2751 8
 
4.1%
2722 7
 
3.6%
2865 4
 
2.0%
2711 4
 
2.0%
2752 4
 
2.0%
2856 4
 
2.0%
2781 3
 
1.5%
2773 2
 
1.0%
2754 2
 
1.0%
Other values (36) 39
19.8%
(Missing) 96
48.7%
ValueCountFrequency (%)
2709 1
 
0.5%
2710 1
 
0.5%
2711 4
2.0%
2717 1
 
0.5%
2718 1
 
0.5%
2722 7
3.6%
2734 1
 
0.5%
2740 1
 
0.5%
2742 1
 
0.5%
2744 1
 
0.5%
ValueCountFrequency (%)
136868 1
0.5%
136865 1
0.5%
136863 1
0.5%
136836 2
1.0%
136830 1
0.5%
136826 1
0.5%
136818 1
0.5%
136817 1
0.5%
136140 1
0.5%
136131 1
0.5%

사업장명
Text

Distinct168
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-05-11T14:23:05.696879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length15
Mean length5.9441624
Min length1

Characters and Unicode

Total characters1171
Distinct characters238
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique149 ?
Unique (%)75.6%

Sample

1st row메가플스
2nd rowPS2 GAMER
3rd row퍼니펀플스방
4th row게임유토피아
5th rowPLS존 플스방
ValueCountFrequency (%)
게임랜드 26
 
10.0%
게임장 7
 
2.7%
뽑기 7
 
2.7%
플스방 4
 
1.5%
인형뽑기방 4
 
1.5%
장위게임랜드 3
 
1.1%
퍼즐랜드 3
 
1.1%
월곡게임랜드 3
 
1.1%
뽑기닷컴 3
 
1.1%
헌터박스 3
 
1.1%
Other values (178) 198
75.9%
2024-05-11T14:23:06.258500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 102
 
8.7%
임 102
 
8.7%
드 85
 
7.3%
랜 76
 
6.5%
64
 
5.5%
뽑 40
 
3.4%
기 35
 
3.0%
장 31
 
2.6%
스 30
 
2.6%
방 18
 
1.5%
Other values (228) 588
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1017
86.8%
Space Separator 64
 
5.5%
Uppercase Letter 33
 
2.8%
Lowercase Letter 20
 
1.7%
Decimal Number 14
 
1.2%
Other Punctuation 8
 
0.7%
Open Punctuation 6
 
0.5%
Close Punctuation 6
 
0.5%
Dash Punctuation 2
 
0.2%
Connector Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 102
 
10.0%
임 102
 
10.0%
드 85
 
8.4%
랜 76
 
7.5%
뽑 40
 
3.9%
기 35
 
3.4%
장 31
 
3.0%
스 30
 
2.9%
방 18
 
1.8%
인 18
 
1.8%
Other values (182) 480
47.2%
Uppercase Letter
ValueCountFrequency (%)
P 6
18.2%
A 3
9.1%
N 3
9.1%
S 3
9.1%
O 2
 
6.1%
U 2
 
6.1%
R 2
 
6.1%
M 2
 
6.1%
W 2
 
6.1%
C 1
 
3.0%
Other values (7) 7
21.2%
Lowercase Letter
ValueCountFrequency (%)
o 3
15.0%
a 2
 
10.0%
r 2
 
10.0%
y 2
 
10.0%
j 1
 
5.0%
n 1
 
5.0%
f 1
 
5.0%
u 1
 
5.0%
l 1
 
5.0%
d 1
 
5.0%
Other values (5) 5
25.0%
Other Punctuation
ValueCountFrequency (%)
. 3
37.5%
: 2
25.0%
# 1
 
12.5%
& 1
 
12.5%
? 1
 
12.5%
Decimal Number
ValueCountFrequency (%)
2 8
57.1%
0 3
 
21.4%
3 2
 
14.3%
4 1
 
7.1%
Space Separator
ValueCountFrequency (%)
64
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1017
86.8%
Common 101
 
8.6%
Latin 53
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 102
 
10.0%
임 102
 
10.0%
드 85
 
8.4%
랜 76
 
7.5%
뽑 40
 
3.9%
기 35
 
3.4%
장 31
 
3.0%
스 30
 
2.9%
방 18
 
1.8%
인 18
 
1.8%
Other values (182) 480
47.2%
Latin
ValueCountFrequency (%)
P 6
 
11.3%
A 3
 
5.7%
o 3
 
5.7%
N 3
 
5.7%
S 3
 
5.7%
a 2
 
3.8%
O 2
 
3.8%
r 2
 
3.8%
y 2
 
3.8%
U 2
 
3.8%
Other values (22) 25
47.2%
Common
ValueCountFrequency (%)
64
63.4%
2 8
 
7.9%
( 6
 
5.9%
) 6
 
5.9%
0 3
 
3.0%
. 3
 
3.0%
- 2
 
2.0%
: 2
 
2.0%
3 2
 
2.0%
# 1
 
1.0%
Other values (4) 4
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1017
86.8%
ASCII 154
 
13.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 102
 
10.0%
임 102
 
10.0%
드 85
 
8.4%
랜 76
 
7.5%
뽑 40
 
3.9%
기 35
 
3.4%
장 31
 
3.0%
스 30
 
2.9%
방 18
 
1.8%
인 18
 
1.8%
Other values (182) 480
47.2%
ASCII
ValueCountFrequency (%)
64
41.6%
2 8
 
5.2%
( 6
 
3.9%
) 6
 
3.9%
P 6
 
3.9%
0 3
 
1.9%
. 3
 
1.9%
A 3
 
1.9%
o 3
 
1.9%
N 3
 
1.9%
Other values (36) 49
31.8%

최종수정일자
Date

UNIQUE 

Distinct197
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2008-01-03 21:15:25
Maximum2024-04-23 11:25:28
2024-05-11T14:23:06.471186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:23:06.701846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
I
133 
U
63 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
I 133
67.5%
U 63
32.0%
D 1
 
0.5%

Length

2024-05-11T14:23:06.898472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:23:07.043311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 133
67.5%
u 63
32.0%
d 1
 
0.5%

데이터갱신일자
Categorical

IMBALANCE 

Distinct48
Distinct (%)24.4%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2018-08-31 23:59:59.0
128 
2022-12-07 21:00:00.0
 
10
2022-10-31 22:05:00.0
 
7
2019-04-28 02:40:00.0
 
4
2019-04-11 02:40:00.0
 
2
Other values (43)
46 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique40 ?
Unique (%)20.3%

Sample

1st row2020-01-19 02:40:00.0
2nd row2018-08-31 23:59:59.0
3rd row2022-10-31 22:05:00.0
4th row2022-10-31 22:05:00.0
5th row2019-04-28 02:40:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 128
65.0%
2022-12-07 21:00:00.0 10
 
5.1%
2022-10-31 22:05:00.0 7
 
3.6%
2019-04-28 02:40:00.0 4
 
2.0%
2019-04-11 02:40:00.0 2
 
1.0%
2021-06-20 02:40:00.0 2
 
1.0%
2020-10-15 02:40:00.0 2
 
1.0%
2019-01-13 02:40:00.0 2
 
1.0%
2023-12-03 22:05:00.0 1
 
0.5%
2023-12-03 23:01:00.0 1
 
0.5%
Other values (38) 38
 
19.3%

Length

2024-05-11T14:23:07.218286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 128
32.5%
23:59:59.0 128
32.5%
02:40:00.0 32
 
8.1%
21:00:00.0 11
 
2.8%
2022-12-07 10
 
2.5%
22:05:00.0 8
 
2.0%
2022-10-31 7
 
1.8%
2019-04-28 4
 
1.0%
2023-12-03 3
 
0.8%
2022-12-05 3
 
0.8%
Other values (52) 60
15.2%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing197
Missing (%)100.0%
Memory size1.9 KiB

좌표정보(X)
Real number (ℝ)

Distinct148
Distinct (%)75.5%
Missing1
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean203107.49
Minimum200534.2
Maximum205996.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-05-11T14:23:07.392206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200534.2
5-th percentile200734.73
Q1201604.38
median203194.12
Q3204640.95
95-th percentile205371.15
Maximum205996.72
Range5462.5174
Interquartile range (IQR)3036.5722

Descriptive statistics

Standard deviation1536.7293
Coefficient of variation (CV)0.0075660889
Kurtosis-1.2509332
Mean203107.49
Median Absolute Deviation (MAD)1522.365
Skewness0.062604941
Sum39809067
Variance2361537
MonotonicityNot monotonic
2024-05-11T14:23:07.587640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
203631.235162273 5
 
2.5%
203250.198669162 5
 
2.5%
203194.11728589 5
 
2.5%
204699.519822131 4
 
2.0%
205213.572449205 4
 
2.0%
205654.504634464 3
 
1.5%
205288.239440116 3
 
1.5%
201976.853769859 3
 
1.5%
205320.583627529 3
 
1.5%
201522.863621305 3
 
1.5%
Other values (138) 158
80.2%
ValueCountFrequency (%)
200534.200482608 1
0.5%
200540.663674917 1
0.5%
200617.40071733 1
0.5%
200703.409558928 1
0.5%
200715.126357159 1
0.5%
200718.117705206 1
0.5%
200719.895705701 1
0.5%
200726.503553097 1
0.5%
200734.455479256 1
0.5%
200734.728211224 2
1.0%
ValueCountFrequency (%)
205996.717928956 1
 
0.5%
205654.504634464 3
1.5%
205556.716849327 1
 
0.5%
205418.575037784 1
 
0.5%
205408.730080707 1
 
0.5%
205408.13261543 1
 
0.5%
205388.977538939 1
 
0.5%
205383.159852982 1
 
0.5%
205367.140114036 1
 
0.5%
205361.866325562 2
1.0%

좌표정보(Y)
Real number (ℝ)

Distinct148
Distinct (%)75.5%
Missing1
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean455584.19
Minimum453249.77
Maximum457503
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-05-11T14:23:07.786400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum453249.77
5-th percentile453696.23
Q1454410.59
median455734.06
Q3456636.9
95-th percentile456903.59
Maximum457503
Range4253.2289
Interquartile range (IQR)2226.3114

Descriptive statistics

Standard deviation1130.5517
Coefficient of variation (CV)0.002481543
Kurtosis-1.1231067
Mean455584.19
Median Absolute Deviation (MAD)943.66439
Skewness-0.43811091
Sum89294501
Variance1278147.2
MonotonicityNot monotonic
2024-05-11T14:23:08.333883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
456852.650852785 5
 
2.5%
455701.490029192 5
 
2.5%
455683.938872791 5
 
2.5%
456588.113175217 4
 
2.0%
456779.949363989 4
 
2.0%
456760.641540479 3
 
1.5%
456677.726693477 3
 
1.5%
455659.420383585 3
 
1.5%
456650.792033696 3
 
1.5%
454334.835416032 3
 
1.5%
Other values (138) 158
80.2%
ValueCountFrequency (%)
453249.773629845 1
0.5%
453261.247477547 1
0.5%
453419.812902287 1
0.5%
453461.587473314 1
0.5%
453486.078864968 1
0.5%
453544.429632757 1
0.5%
453549.202158309 1
0.5%
453625.734726913 1
0.5%
453631.544050175 1
0.5%
453693.732957954 1
0.5%
ValueCountFrequency (%)
457503.002571573 1
 
0.5%
457478.557352755 1
 
0.5%
457377.671933134 1
 
0.5%
457063.845799116 1
 
0.5%
457046.488219477 3
1.5%
457030.732038433 2
1.0%
456903.594601664 2
1.0%
456877.917169312 1
 
0.5%
456874.247385519 1
 
0.5%
456854.236783713 2
1.0%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
청소년게임제공업
162 
<NA>
35 

Length

Max length8
Median length8
Mean length7.2893401
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청소년게임제공업 162
82.2%
<NA> 35
 
17.8%

Length

2024-05-11T14:23:08.540631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:23:08.701222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소년게임제공업 162
82.2%
na 35
 
17.8%

문화사업자구분명
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
유통관련업
162 
<NA>
35 

Length

Max length5
Median length5
Mean length4.822335
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 162
82.2%
<NA> 35
 
17.8%

Length

2024-05-11T14:23:08.844613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:23:08.985149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 162
82.2%
na 35
 
17.8%

총층수
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)7.0%
Missing69
Missing (%)35.0%
Infinite0
Infinite (%)0.0%
Mean4.484375
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-05-11T14:23:09.089894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile7
Maximum21
Range20
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.0657857
Coefficient of variation (CV)0.46066301
Kurtosis31.381311
Mean4.484375
Median Absolute Deviation (MAD)1
Skewness4.0322245
Sum574
Variance4.2674705
MonotonicityNot monotonic
2024-05-11T14:23:09.241374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
5 32
16.2%
3 31
15.7%
4 30
15.2%
6 16
 
8.1%
7 8
 
4.1%
1 4
 
2.0%
2 4
 
2.0%
8 2
 
1.0%
21 1
 
0.5%
(Missing) 69
35.0%
ValueCountFrequency (%)
1 4
 
2.0%
2 4
 
2.0%
3 31
15.7%
4 30
15.2%
5 32
16.2%
6 16
8.1%
7 8
 
4.1%
8 2
 
1.0%
21 1
 
0.5%
ValueCountFrequency (%)
21 1
 
0.5%
8 2
 
1.0%
7 8
 
4.1%
6 16
8.1%
5 32
16.2%
4 30
15.2%
3 31
15.7%
2 4
 
2.0%
1 4
 
2.0%

주변환경명
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
156 
기타
32 
학교정화(상대)
 
5
주택가주변
 
4

Length

Max length8
Median length4
Mean length3.7969543
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> 156
79.2%
기타 32
 
16.2%
학교정화(상대) 5
 
2.5%
주택가주변 4
 
2.0%

Length

2024-05-11T14:23:09.446751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:23:09.599665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 156
79.2%
기타 32
 
16.2%
학교정화(상대 5
 
2.5%
주택가주변 4
 
2.0%

제작취급품목내용
Text

MISSING 

Distinct92
Distinct (%)93.9%
Missing99
Missing (%)50.3%
Memory size1.7 KiB
2024-05-11T14:23:09.814142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length98
Median length28
Mean length14.183673
Min length3

Characters and Unicode

Total characters1390
Distinct characters225
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

Unique88 ?
Unique (%)89.8%

Sample

1st row인도양(제AR-090923-005
2nd rowSEA9(제CC-NA-100120-002)
3rd row아쿠아월드(제AR-090904-001호)
4th row바캉스대소동(AR-090622-006)
5th rowPAWIKAN(AR-090401-001)
ValueCountFrequency (%)
토이즈팝 13
 
6.4%
1대 9
 
4.4%
플러스 4
 
2.0%
코코짱 4
 
2.0%
12대 3
 
1.5%
9대 3
 
1.5%
민속윷놀이 3
 
1.5%
엣지 3
 
1.5%
20대 2
 
1.0%
sea 2
 
1.0%
Other values (143) 158
77.5%
2024-05-11T14:23:10.256492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
108
 
7.8%
0 88
 
6.3%
대 62
 
4.5%
1 59
 
4.2%
2 52
 
3.7%
- 51
 
3.7%
이 40
 
2.9%
, 39
 
2.8%
) 33
 
2.4%
( 33
 
2.4%
Other values (215) 825
59.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 668
48.1%
Decimal Number 295
21.2%
Uppercase Letter 117
 
8.4%
Space Separator 108
 
7.8%
Dash Punctuation 51
 
3.7%
Lowercase Letter 45
 
3.2%
Other Punctuation 40
 
2.9%
Close Punctuation 33
 
2.4%
Open Punctuation 33
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 62
 
9.3%
이 40
 
6.0%
스 24
 
3.6%
즈 20
 
3.0%
토 20
 
3.0%
팝 19
 
2.8%
레 15
 
2.2%
러 14
 
2.1%
인 13
 
1.9%
트 12
 
1.8%
Other values (165) 429
64.2%
Uppercase Letter
ValueCountFrequency (%)
A 28
23.9%
C 18
15.4%
N 16
13.7%
R 11
 
9.4%
S 10
 
8.5%
E 9
 
7.7%
W 5
 
4.3%
I 4
 
3.4%
D 4
 
3.4%
G 2
 
1.7%
Other values (9) 10
 
8.5%
Lowercase Letter
ValueCountFrequency (%)
a 7
15.6%
l 5
11.1%
n 5
11.1%
s 4
8.9%
o 4
8.9%
e 3
6.7%
r 3
6.7%
u 3
6.7%
p 3
6.7%
c 2
 
4.4%
Other values (5) 6
13.3%
Decimal Number
ValueCountFrequency (%)
0 88
29.8%
1 59
20.0%
2 52
17.6%
9 22
 
7.5%
3 18
 
6.1%
6 16
 
5.4%
4 13
 
4.4%
5 13
 
4.4%
8 9
 
3.1%
7 5
 
1.7%
Other Punctuation
ValueCountFrequency (%)
, 39
97.5%
. 1
 
2.5%
Space Separator
ValueCountFrequency (%)
108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 668
48.1%
Common 560
40.3%
Latin 162
 
11.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 62
 
9.3%
이 40
 
6.0%
스 24
 
3.6%
즈 20
 
3.0%
토 20
 
3.0%
팝 19
 
2.8%
레 15
 
2.2%
러 14
 
2.1%
인 13
 
1.9%
트 12
 
1.8%
Other values (165) 429
64.2%
Latin
ValueCountFrequency (%)
A 28
17.3%
C 18
 
11.1%
N 16
 
9.9%
R 11
 
6.8%
S 10
 
6.2%
E 9
 
5.6%
a 7
 
4.3%
W 5
 
3.1%
l 5
 
3.1%
n 5
 
3.1%
Other values (24) 48
29.6%
Common
ValueCountFrequency (%)
108
19.3%
0 88
15.7%
1 59
10.5%
2 52
9.3%
- 51
9.1%
, 39
 
7.0%
) 33
 
5.9%
( 33
 
5.9%
9 22
 
3.9%
3 18
 
3.2%
Other values (6) 57
10.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 722
51.9%
Hangul 668
48.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
108
15.0%
0 88
12.2%
1 59
 
8.2%
2 52
 
7.2%
- 51
 
7.1%
, 39
 
5.4%
) 33
 
4.6%
( 33
 
4.6%
A 28
 
3.9%
9 22
 
3.0%
Other values (40) 209
28.9%
Hangul
ValueCountFrequency (%)
대 62
 
9.3%
이 40
 
6.0%
스 24
 
3.6%
즈 20
 
3.0%
토 20
 
3.0%
팝 19
 
2.8%
레 15
 
2.2%
러 14
 
2.1%
인 13
 
1.9%
트 12
 
1.8%
Other values (165) 429
64.2%

시설면적
Real number (ℝ)

MISSING 

Distinct131
Distinct (%)82.4%
Missing38
Missing (%)19.3%
Infinite0
Infinite (%)0.0%
Mean429.00811
Minimum0
Maximum49362
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-05-11T14:23:10.418117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20.764
Q149.355
median105.02
Q3155.665
95-th percentile247.87
Maximum49362
Range49362
Interquartile range (IQR)106.31

Descriptive statistics

Standard deviation3906.4509
Coefficient of variation (CV)9.105774
Kurtosis158.79249
Mean429.00811
Median Absolute Deviation (MAD)52.53
Skewness12.597302
Sum68212.29
Variance15260359
MonotonicityNot monotonic
2024-05-11T14:23:10.609397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
82.6 4
 
2.0%
157.55 4
 
2.0%
21.0 3
 
1.5%
104.6 3
 
1.5%
110.4 3
 
1.5%
35.0 3
 
1.5%
136.68 3
 
1.5%
136.65 2
 
1.0%
217.16 2
 
1.0%
45.0 2
 
1.0%
Other values (121) 130
66.0%
(Missing) 38
 
19.3%
ValueCountFrequency (%)
0.0 1
 
0.5%
9.34 1
 
0.5%
10.0 1
 
0.5%
11.04 1
 
0.5%
16.53 1
 
0.5%
18.0 1
 
0.5%
19.99 1
 
0.5%
20.53 1
 
0.5%
20.79 1
 
0.5%
21.0 3
1.5%
ValueCountFrequency (%)
49362.0 1
0.5%
778.01 1
0.5%
497.29 1
0.5%
486.65 1
0.5%
467.54 1
0.5%
416.7 1
0.5%
300.25 1
0.5%
258.94 1
0.5%
246.64 1
0.5%
240.93 1
0.5%

지상층수
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)7.9%
Missing71
Missing (%)36.0%
Infinite0
Infinite (%)0.0%
Mean3.3253968
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-05-11T14:23:10.775241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum14
Range13
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8839506
Coefficient of variation (CV)0.56653407
Kurtosis9.0188727
Mean3.3253968
Median Absolute Deviation (MAD)1
Skewness2.0856291
Sum419
Variance3.5492698
MonotonicityNot monotonic
2024-05-11T14:23:10.917126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
3 35
17.8%
4 28
 
14.2%
2 21
 
10.7%
1 19
 
9.6%
5 13
 
6.6%
6 6
 
3.0%
8 1
 
0.5%
14 1
 
0.5%
7 1
 
0.5%
11 1
 
0.5%
(Missing) 71
36.0%
ValueCountFrequency (%)
1 19
9.6%
2 21
10.7%
3 35
17.8%
4 28
14.2%
5 13
 
6.6%
6 6
 
3.0%
7 1
 
0.5%
8 1
 
0.5%
11 1
 
0.5%
14 1
 
0.5%
ValueCountFrequency (%)
14 1
 
0.5%
11 1
 
0.5%
8 1
 
0.5%
7 1
 
0.5%
6 6
 
3.0%
5 13
 
6.6%
4 28
14.2%
3 35
17.8%
2 21
10.7%
1 19
9.6%

지하층수
Categorical

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
99 
1
88 
5
 
4
2
 
3
0
 
2

Length

Max length4
Median length4
Mean length2.5076142
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 99
50.3%
1 88
44.7%
5 4
 
2.0%
2 3
 
1.5%
0 2
 
1.0%
7 1
 
0.5%

Length

2024-05-11T14:23:11.086950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:23:11.248253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 99
50.3%
1 88
44.7%
5 4
 
2.0%
2 3
 
1.5%
0 2
 
1.0%
7 1
 
0.5%

건물용도명
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
근린생활시설
112 
<NA>
85 

Length

Max length6
Median length6
Mean length5.1370558
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
근린생활시설 112
56.9%
<NA> 85
43.1%

Length

2024-05-11T14:23:11.422020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:23:11.615062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
근린생활시설 112
56.9%
na 85
43.1%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing197
Missing (%)100.0%
Memory size1.9 KiB

조명시설조도
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)55.6%
Missing170
Missing (%)86.3%
Infinite0
Infinite (%)0.0%
Mean98.518519
Minimum40
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-05-11T14:23:11.730092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile40
Q147.5
median70
Q3125
95-th percentile235
Maximum300
Range260
Interquartile range (IQR)77.5

Descriptive statistics

Standard deviation69.846188
Coefficient of variation (CV)0.70896507
Kurtosis1.6645565
Mean98.518519
Median Absolute Deviation (MAD)30
Skewness1.4780793
Sum2660
Variance4878.49
MonotonicityNot monotonic
2024-05-11T14:23:11.881770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
40 5
 
2.5%
100 4
 
2.0%
50 2
 
1.0%
60 2
 
1.0%
150 2
 
1.0%
55 2
 
1.0%
45 2
 
1.0%
250 1
 
0.5%
90 1
 
0.5%
160 1
 
0.5%
Other values (5) 5
 
2.5%
(Missing) 170
86.3%
ValueCountFrequency (%)
40 5
2.5%
45 2
 
1.0%
50 2
 
1.0%
55 2
 
1.0%
60 2
 
1.0%
70 1
 
0.5%
80 1
 
0.5%
90 1
 
0.5%
100 4
2.0%
150 2
 
1.0%
ValueCountFrequency (%)
300 1
 
0.5%
250 1
 
0.5%
200 1
 
0.5%
190 1
 
0.5%
160 1
 
0.5%
150 2
1.0%
100 4
2.0%
90 1
 
0.5%
80 1
 
0.5%
70 1
 
0.5%

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing197
Missing (%)100.0%
Memory size1.9 KiB

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing197
Missing (%)100.0%
Memory size1.9 KiB

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing197
Missing (%)100.0%
Memory size1.9 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing197
Missing (%)100.0%
Memory size1.9 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing197
Missing (%)100.0%
Memory size1.9 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing197
Missing (%)100.0%
Memory size1.9 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing197
Missing (%)100.0%
Memory size1.9 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing197
Missing (%)100.0%
Memory size1.9 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing197
Missing (%)100.0%
Memory size1.9 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing197
Missing (%)100.0%
Memory size1.9 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing197
Missing (%)100.0%
Memory size1.9 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing197
Missing (%)100.0%
Memory size1.9 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing197
Missing (%)100.0%
Memory size1.9 KiB

총게임기수
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)34.8%
Missing105
Missing (%)53.3%
Infinite0
Infinite (%)0.0%
Mean36.728261
Minimum5
Maximum440
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-05-11T14:23:12.053911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6.55
Q113
median40
Q340
95-th percentile53.15
Maximum440
Range435
Interquartile range (IQR)27

Descriptive statistics

Standard deviation51.466644
Coefficient of variation (CV)1.4012818
Kurtosis45.33514
Mean36.728261
Median Absolute Deviation (MAD)10
Skewness6.2736156
Sum3379
Variance2648.8155
MonotonicityNot monotonic
2024-05-11T14:23:12.228131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
40 28
 
14.2%
50 9
 
4.6%
8 7
 
3.6%
9 4
 
2.0%
45 4
 
2.0%
30 3
 
1.5%
16 3
 
1.5%
6 3
 
1.5%
15 2
 
1.0%
5 2
 
1.0%
Other values (22) 27
 
13.7%
(Missing) 105
53.3%
ValueCountFrequency (%)
5 2
 
1.0%
6 3
1.5%
7 2
 
1.0%
8 7
3.6%
9 4
2.0%
10 2
 
1.0%
11 1
 
0.5%
12 1
 
0.5%
13 2
 
1.0%
14 1
 
0.5%
ValueCountFrequency (%)
440 1
 
0.5%
260 1
 
0.5%
65 1
 
0.5%
60 1
 
0.5%
57 1
 
0.5%
50 9
 
4.6%
49 1
 
0.5%
47 1
 
0.5%
45 4
 
2.0%
40 28
14.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing197
Missing (%)100.0%
Memory size1.9 KiB

제공게임물명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
전체이용가
161 
<NA>
35 
청소년이용불가
 
1

Length

Max length7
Median length5
Mean length4.8324873
Min length4

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
전체이용가 161
81.7%
<NA> 35
 
17.8%
청소년이용불가 1
 
0.5%

Length

2024-05-11T14:23:12.422522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:23:12.566556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체이용가 161
81.7%
na 35
 
17.8%
청소년이용불가 1
 
0.5%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing197
Missing (%)100.0%
Memory size1.9 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing197
Missing (%)100.0%
Memory size1.9 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing197
Missing (%)100.0%
Memory size1.9 KiB

지역구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
152 
일반주거지역
30 
주거지역
 
8
준주거지역
 
5
상업지역
 
1

Length

Max length6
Median length4
Mean length4.3401015
Min length4

Unique

Unique2 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 152
77.2%
일반주거지역 30
 
15.2%
주거지역 8
 
4.1%
준주거지역 5
 
2.5%
상업지역 1
 
0.5%
근린상업지역 1
 
0.5%

Length

2024-05-11T14:23:12.766268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:23:12.931197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 152
77.2%
일반주거지역 30
 
15.2%
주거지역 8
 
4.1%
준주거지역 5
 
2.5%
상업지역 1
 
0.5%
근린상업지역 1
 
0.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03070000CDFF224114200700000120071004<NA>3폐업3폐업20200115<NA><NA><NA>02-953-1430<NA><NA>서울특별시 성북구 동선동1가 43번지서울특별시 성북구 동소문로20길 31 (동선동1가)<NA>메가플스2020-01-17 11:33:04U2020-01-19 02:40:00.0<NA>201429.455094454315.425748청소년게임제공업유통관련업<NA><NA><NA>166.44<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>
13070000CDFF224114200700000220071107<NA>3폐업3폐업20100419<NA><NA><NA>02-6414-5050<NA>136075서울특별시 성북구 안암동5가 15-100번지 지층동서울특별시 성북구 개운사길 22-2, 지층동 (안암동5가)<NA>PS2 GAMER2010-04-19 08:30:46I2018-08-31 23:59:59.0<NA>202528.82463453891.60162청소년게임제공업유통관련업<NA><NA><NA>82.62<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>
23070000CDFF22411420070000032007-11-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 안암동5가 15-33서울특별시 성북구 고려대로27길 19 (안암동5가)2842퍼니펀플스방2023-11-23 11:09:56U2022-10-31 22:05:00.0<NA>202549.808944453879.75734<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>
33070000CDFF22411420070000042007-11-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 안암동5가 93-14서울특별시 성북구 고려대로 98 (안암동5가)2856게임유토피아2023-11-23 11:10:31U2022-10-31 22:05:00.0<NA>202594.41992453763.955417<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>
43070000CDFF224114200700000520071115<NA>4취소/말소/만료/정지/중지35직권말소20190426<NA><NA><NA>9215581<NA><NA>서울특별시 성북구 안암동5가 104-6번지서울특별시 성북구 인촌로24길 58-5 (안암동5가)<NA>PLS존 플스방2019-04-26 14:14:41U2019-04-28 02:40:00.0<NA>202500.625459453486.078865청소년게임제공업유통관련업<NA><NA><NA>0.0<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>
53070000CDFF224114200700000620071119<NA>3폐업3폐업20090302<NA><NA><NA>02-3673-5874<NA>136041서울특별시 성북구 삼선동1가 74번지서울특별시 성북구 삼선교로 26-1 (삼선동1가)<NA>WIN 플스방2009-03-02 17:48:06I2018-08-31 23:59:59.0<NA>200703.409559453945.072337청소년게임제공업유통관련업<NA><NA><NA>40.563<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
63070000CDFF22411420070000072007-11-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 삼선동1가 88서울특별시 성북구 삼선교로10길 14 (삼선동1가)2865우리게임장22024-03-04 16:44:17U2023-12-03 00:06:00.0<NA>200726.503553453895.299406<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>
73070000CDFF224114200700000820071120<NA>3폐업3폐업20080813<NA><NA><NA><NA><NA>136075서울특별시 성북구 안암동5가 102-36번지서울특별시 성북구 인촌로24길 44 (안암동5가)<NA>플스일레븐2008-08-13 18:10:01I2018-08-31 23:59:59.0<NA>202515.277465453544.429633청소년게임제공업유통관련업<NA><NA><NA><NA><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>
83070000CDFF224114200700000920071120<NA>3폐업3폐업20111019<NA><NA><NA>6406-8373<NA>136075서울특별시 성북구 안암동5가 101-98번지서울특별시 성북구 인촌로27길 17 (안암동5가)<NA>게임샷2011-10-21 09:29:22I2018-08-31 23:59:59.0<NA>202549.92813453867.165747청소년게임제공업유통관련업<NA><NA><NA><NA><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>
93070000CDFF224114200700001020071127<NA>3폐업3폐업20140703<NA><NA><NA><NA><NA>136041서울특별시 성북구 삼선동1가 70번지서울특별시 성북구 삼선교로10길 8 (삼선동1가)<NA>월드컵 플스방2014-07-04 10:34:44I2018-08-31 23:59:59.0<NA>200715.126357453919.89265청소년게임제공업유통관련업4기타<NA>41.5631근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
1873070000CDFF224114202000000120200605<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 동선동1가 85-80번지서울특별시 성북구 동소문로20나길 22, 1층 (동선동1가)2845태평뽑기샵2020-06-05 14:48:07I2020-06-07 00:23:18.0<NA>201512.967696454435.576841청소년게임제공업유통관련업<NA><NA><NA>40.0<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>
1883070000CDFF22411420200000022020-07-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 장위동 66-240서울특별시 성북구 돌곶이로27길 59-1 (장위동)2771뽑기왕2023-03-10 14:18:37U2022-12-02 23:02:00.0<NA>204595.959178456491.101265<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>
1893070000CDFF224114202000000320200928<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 장위동 218-3 꿈의숲 빌딩서울특별시 성북구 월계로32길 24, 꿈의숲 빌딩 (장위동)2754뽀꼬뽀꼬2020-09-28 17:59:09I2020-09-30 00:23:11.0<NA>203905.77108457377.671933청소년게임제공업유통관련업<NA><NA>코코짱, 토이즈팝33.0<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>
1903070000CDFF224114202200000120220621<NA>3폐업3폐업20221129<NA><NA><NA><NA><NA><NA>서울특별시 성북구 하월곡동 67-37 구원빌딩서울특별시 성북구 오패산로 16, 구원빌딩 501호 (하월곡동)2751삼성랜드2022-11-30 11:28:23U2021-11-02 00:02:00.0<NA>203250.198669455701.490029<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>
1913070000CDFF224114202200000220221201<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 하월곡동 67-37 구원빌딩서울특별시 성북구 오패산로 16, 구원빌딩 5층 501호 (하월곡동)2751앗싸 게임랜드2022-12-29 20:49:39U2021-11-01 21:01:00.0<NA>203250.198669455701.490029<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>
1923070000CDFF22411420230000012023-03-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 동선동1가 23 1층서울특별시 성북구 동소문로20길 37-23, 1층 (동선동1가)2845헌터박스2023-04-03 16:42:24D2022-12-04 00:05:00.0<NA>201522.863621454334.835416<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>
1933070000CDFF22411420230000022023-03-31<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 동선동1가 23 1층서울특별시 성북구 동소문로20길 37-23, 1층 (동선동1가)2845헌터박스2023-03-31 10:57:43I2022-12-04 00:02:00.0<NA>201522.863621454334.835416<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>
1943070000CDFF22411420230000032023-04-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 동선동1가 23 1층서울특별시 성북구 동소문로20길 37-23, 1층 (동선동1가)2845헌터박스2023-06-20 18:02:58U2022-12-05 22:02:00.0<NA>201522.863621454334.835416<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>
1953070000CDFF22411420230000042023-07-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 장위동 233-634 1층서울특별시 성북구 장위로 64, 1층 (장위동)2744뽑기왕2023-07-28 13:51:33I2022-12-06 21:00:00.0<NA>203777.574461456829.714921<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>
1963070000CDFF22411420230000052023-08-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 돈암동 30-22서울특별시 성북구 동소문로35길 42, 4층 (돈암동)2817대빵오락실2024-03-25 11:20:41I2023-12-02 22:07:00.0<NA>201838.973246455372.924523<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>