Overview

Dataset statistics

Number of variables56
Number of observations785
Missing cells21099
Missing cells (%)48.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory371.9 KiB
Average record size in memory485.2 B

Variable types

Categorical15
Text6
DateTime4
Numeric11
Unsupported20

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-16774/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (50.3%)Imbalance
영업상태명 is highly imbalanced (50.3%)Imbalance
상세영업상태코드 is highly imbalanced (61.5%)Imbalance
상세영업상태명 is highly imbalanced (61.5%)Imbalance
데이터갱신구분 is highly imbalanced (59.8%)Imbalance
문화체육업종명 is highly imbalanced (65.8%)Imbalance
문화사업자구분명 is highly imbalanced (65.8%)Imbalance
주변환경명 is highly imbalanced (85.7%)Imbalance
건물용도명 is highly imbalanced (60.8%)Imbalance
통로너비 is highly imbalanced (95.4%)Imbalance
노래방실수 is highly imbalanced (95.4%)Imbalance
청소년실수 is highly imbalanced (95.4%)Imbalance
제공게임물명 is highly imbalanced (73.4%)Imbalance
지역구분명 is highly imbalanced (79.7%)Imbalance
인허가취소일자 has 754 (96.1%) missing valuesMissing
폐업일자 has 83 (10.6%) missing valuesMissing
휴업시작일자 has 785 (100.0%) missing valuesMissing
휴업종료일자 has 785 (100.0%) missing valuesMissing
재개업일자 has 785 (100.0%) missing valuesMissing
전화번호 has 384 (48.9%) missing valuesMissing
소재지면적 has 785 (100.0%) missing valuesMissing
소재지우편번호 has 693 (88.3%) missing valuesMissing
도로명주소 has 69 (8.8%) missing valuesMissing
도로명우편번호 has 525 (66.9%) missing valuesMissing
업태구분명 has 785 (100.0%) missing valuesMissing
좌표정보(X) has 19 (2.4%) missing valuesMissing
좌표정보(Y) has 19 (2.4%) missing valuesMissing
총층수 has 220 (28.0%) missing valuesMissing
제작취급품목내용 has 775 (98.7%) missing valuesMissing
시설면적 has 51 (6.5%) missing valuesMissing
지상층수 has 221 (28.2%) missing valuesMissing
지하층수 has 307 (39.1%) missing valuesMissing
조명시설조도 has 775 (98.7%) missing valuesMissing
비상계단여부 has 785 (100.0%) missing valuesMissing
비상구여부 has 785 (100.0%) missing valuesMissing
자동환기여부 has 785 (100.0%) missing valuesMissing
청소년실여부 has 785 (100.0%) missing valuesMissing
특수조명여부 has 785 (100.0%) missing valuesMissing
방음시설여부 has 785 (100.0%) missing valuesMissing
비디오재생기명 has 785 (100.0%) missing valuesMissing
조명시설유무 has 785 (100.0%) missing valuesMissing
음향시설여부 has 785 (100.0%) missing valuesMissing
편의시설여부 has 785 (100.0%) missing valuesMissing
소방시설여부 has 785 (100.0%) missing valuesMissing
총게임기수 has 504 (64.2%) missing valuesMissing
기존게임업외업종명 has 785 (100.0%) missing valuesMissing
공연장형태구분명 has 785 (100.0%) missing valuesMissing
품목명 has 785 (100.0%) missing valuesMissing
최초등록시점 has 785 (100.0%) missing valuesMissing
지하층수 is highly skewed (γ1 = 21.61666251)Skewed
관리번호 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
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
총층수 has 297 (37.8%) zerosZeros
시설면적 has 363 (46.2%) zerosZeros
지상층수 has 297 (37.8%) zerosZeros
지하층수 has 299 (38.1%) zerosZeros

Reproduction

Analysis started2024-05-11 06:35:24.794325
Analysis finished2024-05-11 06:35:26.564837
Duration1.77 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
3070000
785 

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 785
100.0%

Length

2024-05-11T15:35:26.679184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:35:26.882465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3070000 785
100.0%

관리번호
Text

UNIQUE 

Distinct785
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
2024-05-11T15:35:27.152795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters15700
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

Unique785 ?
Unique (%)100.0%

Sample

1st rowCDFF2241021999000001
2nd rowCDFF2241021999000002
3rd rowCDFF2241021999000003
4th rowCDFF2241021999000004
5th rowCDFF2241021999000005
ValueCountFrequency (%)
cdff2241021999000001 1
 
0.1%
cdff2241022008000063 1
 
0.1%
cdff2241022008000075 1
 
0.1%
cdff2241022008000066 1
 
0.1%
cdff2241022008000067 1
 
0.1%
cdff2241022008000068 1
 
0.1%
cdff2241022008000069 1
 
0.1%
cdff2241022008000070 1
 
0.1%
cdff2241022008000071 1
 
0.1%
cdff2241022008000072 1
 
0.1%
Other values (775) 775
98.7%
2024-05-11T15:35:27.629414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5253
33.5%
2 3165
20.2%
F 1570
 
10.0%
1 1567
 
10.0%
4 938
 
6.0%
C 785
 
5.0%
D 785
 
5.0%
9 668
 
4.3%
8 259
 
1.6%
7 240
 
1.5%
Other values (3) 470
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12560
80.0%
Uppercase Letter 3140
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5253
41.8%
2 3165
25.2%
1 1567
 
12.5%
4 938
 
7.5%
9 668
 
5.3%
8 259
 
2.1%
7 240
 
1.9%
3 164
 
1.3%
6 154
 
1.2%
5 152
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
F 1570
50.0%
C 785
25.0%
D 785
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12560
80.0%
Latin 3140
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5253
41.8%
2 3165
25.2%
1 1567
 
12.5%
4 938
 
7.5%
9 668
 
5.3%
8 259
 
2.1%
7 240
 
1.9%
3 164
 
1.3%
6 154
 
1.2%
5 152
 
1.2%
Latin
ValueCountFrequency (%)
F 1570
50.0%
C 785
25.0%
D 785
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15700
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5253
33.5%
2 3165
20.2%
F 1570
 
10.0%
1 1567
 
10.0%
4 938
 
6.0%
C 785
 
5.0%
D 785
 
5.0%
9 668
 
4.3%
8 259
 
1.6%
7 240
 
1.5%
Other values (3) 470
 
3.0%

인허가일자
Date

Distinct525
Distinct (%)66.9%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
Minimum1999-07-22 00:00:00
Maximum2023-11-17 00:00:00
2024-05-11T15:35:27.905114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:35:28.140787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)96.8%
Missing754
Missing (%)96.1%
Infinite0
Infinite (%)0.0%
Mean20127285
Minimum20080630
Maximum20191024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2024-05-11T15:35:28.396802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080630
5-th percentile20081006
Q120090418
median20120925
Q320160414
95-th percentile20190868
Maximum20191024
Range110394
Interquartile range (IQR)69996.5

Descriptive statistics

Standard deviation42453.092
Coefficient of variation (CV)0.0021092309
Kurtosis-1.4786926
Mean20127285
Median Absolute Deviation (MAD)39377
Skewness0.36135398
Sum6.2394585 × 108
Variance1.802265 × 109
MonotonicityNot monotonic
2024-05-11T15:35:28.577113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
20081006 2
 
0.3%
20131230 1
 
0.1%
20190910 1
 
0.1%
20191024 1
 
0.1%
20190510 1
 
0.1%
20190717 1
 
0.1%
20190703 1
 
0.1%
20160302 1
 
0.1%
20160526 1
 
0.1%
20190827 1
 
0.1%
Other values (20) 20
 
2.5%
(Missing) 754
96.1%
ValueCountFrequency (%)
20080630 1
0.1%
20081006 2
0.3%
20081008 1
0.1%
20081105 1
0.1%
20081211 1
0.1%
20081216 1
0.1%
20090415 1
0.1%
20090420 1
0.1%
20091009 1
0.1%
20091102 1
0.1%
ValueCountFrequency (%)
20191024 1
0.1%
20190910 1
0.1%
20190827 1
0.1%
20190717 1
0.1%
20190703 1
0.1%
20190510 1
0.1%
20170515 1
0.1%
20160526 1
0.1%
20160302 1
0.1%
20160211 1
0.1%

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
3
660 
4
75 
1
 
50

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 660
84.1%
4 75
 
9.6%
1 50
 
6.4%

Length

2024-05-11T15:35:28.774553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:35:28.950692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 660
84.1%
4 75
 
9.6%
1 50
 
6.4%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
폐업
660 
취소/말소/만료/정지/중지
75 
영업/정상
 
50

Length

Max length14
Median length2
Mean length3.3375796
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 660
84.1%
취소/말소/만료/정지/중지 75
 
9.6%
영업/정상 50
 
6.4%

Length

2024-05-11T15:35:29.233504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:35:29.490536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 660
84.1%
취소/말소/만료/정지/중지 75
 
9.6%
영업/정상 50
 
6.4%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
3
659 
13
 
50
35
 
44
31
 
31
34
 
1

Length

Max length2
Median length1
Mean length1.1605096
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
3 659
83.9%
13 50
 
6.4%
35 44
 
5.6%
31 31
 
3.9%
34 1
 
0.1%

Length

2024-05-11T15:35:29.804296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:35:30.127078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 659
83.9%
13 50
 
6.4%
35 44
 
5.6%
31 31
 
3.9%
34 1
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
폐업
659 
영업중
 
50
직권말소
 
44
등록취소
 
31
영업장폐쇄
 
1

Length

Max length5
Median length2
Mean length2.2585987
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 659
83.9%
영업중 50
 
6.4%
직권말소 44
 
5.6%
등록취소 31
 
3.9%
영업장폐쇄 1
 
0.1%

Length

2024-05-11T15:35:30.402724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:35:30.657179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 659
83.9%
영업중 50
 
6.4%
직권말소 44
 
5.6%
등록취소 31
 
3.9%
영업장폐쇄 1
 
0.1%

폐업일자
Date

MISSING 

Distinct324
Distinct (%)46.2%
Missing83
Missing (%)10.6%
Memory size6.3 KiB
Minimum1999-12-21 00:00:00
Maximum2023-09-22 00:00:00
2024-05-11T15:35:30.837017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:35:31.086909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing785
Missing (%)100.0%
Memory size7.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing785
Missing (%)100.0%
Memory size7.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing785
Missing (%)100.0%
Memory size7.0 KiB

전화번호
Text

MISSING 

Distinct391
Distinct (%)97.5%
Missing384
Missing (%)48.9%
Memory size6.3 KiB
2024-05-11T15:35:31.510206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.3765586
Min length7

Characters and Unicode

Total characters3359
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

Unique381 ?
Unique (%)95.0%

Sample

1st row910-8601
2nd row913-2449
3rd row942-1464
4th row917-1094
5th row943-0377
ValueCountFrequency (%)
943-6918 2
 
0.5%
953-0038 2
 
0.5%
919-7034 2
 
0.5%
921-4465 2
 
0.5%
918-1114 2
 
0.5%
929-0764 2
 
0.5%
916-4451 2
 
0.5%
745-1019 2
 
0.5%
02-959-9766 2
 
0.5%
916-2277 2
 
0.5%
Other values (383) 383
95.0%
2024-05-11T15:35:32.190968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 572
17.0%
- 434
12.9%
1 354
10.5%
2 350
10.4%
0 284
8.5%
7 239
7.1%
3 234
7.0%
6 226
 
6.7%
4 223
 
6.6%
5 222
 
6.6%
Other values (2) 221
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2923
87.0%
Dash Punctuation 434
 
12.9%
Space Separator 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 572
19.6%
1 354
12.1%
2 350
12.0%
0 284
9.7%
7 239
8.2%
3 234
8.0%
6 226
 
7.7%
4 223
 
7.6%
5 222
 
7.6%
8 219
 
7.5%
Dash Punctuation
ValueCountFrequency (%)
- 434
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3359
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 572
17.0%
- 434
12.9%
1 354
10.5%
2 350
10.4%
0 284
8.5%
7 239
7.1%
3 234
7.0%
6 226
 
6.7%
4 223
 
6.6%
5 222
 
6.6%
Other values (2) 221
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3359
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 572
17.0%
- 434
12.9%
1 354
10.5%
2 350
10.4%
0 284
8.5%
7 239
7.1%
3 234
7.0%
6 226
 
6.7%
4 223
 
6.6%
5 222
 
6.6%
Other values (2) 221
 
6.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing785
Missing (%)100.0%
Memory size7.0 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)48.9%
Missing693
Missing (%)88.3%
Infinite0
Infinite (%)0.0%
Mean136494.2
Minimum136034
Maximum136877
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2024-05-11T15:35:32.417879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum136034
5-th percentile136048.3
Q1136054.5
median136815
Q3136848.25
95-th percentile136864.45
Maximum136877
Range843
Interquartile range (IQR)793.75

Descriptive statistics

Standard deviation389.22688
Coefficient of variation (CV)0.0028516002
Kurtosis-1.9830241
Mean136494.2
Median Absolute Deviation (MAD)49.5
Skewness-0.2222026
Sum12557466
Variance151497.57
MonotonicityNot monotonic
2024-05-11T15:35:32.650614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
136051 13
 
1.7%
136075 10
 
1.3%
136052 4
 
0.5%
136865 4
 
0.5%
136863 3
 
0.4%
136826 3
 
0.4%
136041 3
 
0.4%
136835 3
 
0.4%
136836 2
 
0.3%
136833 2
 
0.3%
Other values (35) 45
 
5.7%
(Missing) 693
88.3%
ValueCountFrequency (%)
136034 1
 
0.1%
136041 3
 
0.4%
136045 1
 
0.1%
136051 13
1.7%
136052 4
 
0.5%
136053 1
 
0.1%
136055 2
 
0.3%
136072 1
 
0.1%
136075 10
1.3%
136081 1
 
0.1%
ValueCountFrequency (%)
136877 1
 
0.1%
136865 4
0.5%
136864 1
 
0.1%
136863 3
0.4%
136862 1
 
0.1%
136861 2
0.3%
136859 1
 
0.1%
136858 1
 
0.1%
136856 2
0.3%
136854 1
 
0.1%

지번주소
Text

Distinct723
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
2024-05-11T15:35:32.941106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length40
Mean length24.710828
Min length18

Characters and Unicode

Total characters19398
Distinct characters155
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

Unique665 ?
Unique (%)84.7%

Sample

1st row서울특별시 성북구 하월곡동 34-44번지
2nd row서울특별시 성북구 길음동 536-1번지
3rd row서울특별시 성북구 정릉동 372-2번지
4th row서울특별시 성북구 장위동 203-18번지
5th row서울특별시 성북구 장위동 199-26번지
ValueCountFrequency (%)
서울특별시 785
22.5%
성북구 785
22.5%
장위동 140
 
4.0%
정릉동 107
 
3.1%
안암동5가 80
 
2.3%
2층 78
 
2.2%
하월곡동 75
 
2.1%
석관동 75
 
2.1%
동선동1가 60
 
1.7%
종암동 57
 
1.6%
Other values (772) 1250
35.8%
2024-05-11T15:35:33.477705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3435
 
17.7%
동 907
 
4.7%
1 824
 
4.2%
지 800
 
4.1%
성 798
 
4.1%
북 794
 
4.1%
구 786
 
4.1%
별 786
 
4.1%
서 785
 
4.0%
시 785
 
4.0%
Other values (145) 8698
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11178
57.6%
Decimal Number 3909
 
20.2%
Space Separator 3435
 
17.7%
Dash Punctuation 712
 
3.7%
Open Punctuation 64
 
0.3%
Close Punctuation 64
 
0.3%
Uppercase Letter 18
 
0.1%
Other Punctuation 16
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 907
 
8.1%
지 800
 
7.2%
성 798
 
7.1%
북 794
 
7.1%
구 786
 
7.0%
별 786
 
7.0%
서 785
 
7.0%
시 785
 
7.0%
특 785
 
7.0%
울 785
 
7.0%
Other values (118) 3167
28.3%
Decimal Number
ValueCountFrequency (%)
1 824
21.1%
2 679
17.4%
3 461
11.8%
0 365
9.3%
5 326
 
8.3%
4 304
 
7.8%
6 280
 
7.2%
7 262
 
6.7%
8 230
 
5.9%
9 178
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
B 6
33.3%
S 3
16.7%
K 3
16.7%
A 2
 
11.1%
T 1
 
5.6%
M 1
 
5.6%
J 1
 
5.6%
D 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 12
75.0%
. 2
 
12.5%
: 1
 
6.2%
/ 1
 
6.2%
Space Separator
ValueCountFrequency (%)
3435
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 712
100.0%
Open Punctuation
ValueCountFrequency (%)
( 64
100.0%
Close Punctuation
ValueCountFrequency (%)
) 64
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11176
57.6%
Common 8202
42.3%
Latin 18
 
0.1%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 907
 
8.1%
지 800
 
7.2%
성 798
 
7.1%
북 794
 
7.1%
구 786
 
7.0%
별 786
 
7.0%
서 785
 
7.0%
시 785
 
7.0%
특 785
 
7.0%
울 785
 
7.0%
Other values (116) 3165
28.3%
Common
ValueCountFrequency (%)
3435
41.9%
1 824
 
10.0%
- 712
 
8.7%
2 679
 
8.3%
3 461
 
5.6%
0 365
 
4.5%
5 326
 
4.0%
4 304
 
3.7%
6 280
 
3.4%
7 262
 
3.2%
Other values (9) 554
 
6.8%
Latin
ValueCountFrequency (%)
B 6
33.3%
S 3
16.7%
K 3
16.7%
A 2
 
11.1%
T 1
 
5.6%
M 1
 
5.6%
J 1
 
5.6%
D 1
 
5.6%
Han
ValueCountFrequency (%)
淸 1
50.0%
坪 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11176
57.6%
ASCII 8220
42.4%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3435
41.8%
1 824
 
10.0%
- 712
 
8.7%
2 679
 
8.3%
3 461
 
5.6%
0 365
 
4.4%
5 326
 
4.0%
4 304
 
3.7%
6 280
 
3.4%
7 262
 
3.2%
Other values (17) 572
 
7.0%
Hangul
ValueCountFrequency (%)
동 907
 
8.1%
지 800
 
7.2%
성 798
 
7.1%
북 794
 
7.1%
구 786
 
7.0%
별 786
 
7.0%
서 785
 
7.0%
시 785
 
7.0%
특 785
 
7.0%
울 785
 
7.0%
Other values (116) 3165
28.3%
CJK
ValueCountFrequency (%)
淸 1
50.0%
坪 1
50.0%

도로명주소
Text

MISSING 

Distinct669
Distinct (%)93.4%
Missing69
Missing (%)8.8%
Memory size6.3 KiB
2024-05-11T15:35:33.881588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length48
Mean length28.298883
Min length22

Characters and Unicode

Total characters20262
Distinct characters174
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

Unique623 ?
Unique (%)87.0%

Sample

1st row서울특별시 성북구 월곡로 106-1 (하월곡동)
2nd row서울특별시 성북구 솔샘로6길 42 (정릉동)
3rd row서울특별시 성북구 장월로 141-3 (장위동)
4th row서울특별시 성북구 장월로 149 (장위동)
5th row서울특별시 성북구 솔샘로 28 (정릉동)
ValueCountFrequency (%)
서울특별시 716
 
18.8%
성북구 716
 
18.8%
장위동 94
 
2.5%
정릉동 85
 
2.2%
안암동5가 63
 
1.7%
하월곡동 57
 
1.5%
석관동 54
 
1.4%
동선동1가 44
 
1.2%
장위로 44
 
1.2%
2층 41
 
1.1%
Other values (605) 1899
49.8%
2024-05-11T15:35:34.483754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3557
 
17.6%
동 936
 
4.6%
) 747
 
3.7%
( 747
 
3.7%
북 743
 
3.7%
성 742
 
3.7%
서 725
 
3.6%
구 717
 
3.5%
별 717
 
3.5%
시 716
 
3.5%
Other values (164) 9915
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11881
58.6%
Space Separator 3557
 
17.6%
Decimal Number 2890
 
14.3%
Close Punctuation 747
 
3.7%
Open Punctuation 747
 
3.7%
Other Punctuation 331
 
1.6%
Dash Punctuation 88
 
0.4%
Uppercase Letter 18
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 936
 
7.9%
북 743
 
6.3%
성 742
 
6.2%
서 725
 
6.1%
구 717
 
6.0%
별 717
 
6.0%
시 716
 
6.0%
특 716
 
6.0%
울 716
 
6.0%
로 701
 
5.9%
Other values (142) 4452
37.5%
Decimal Number
ValueCountFrequency (%)
1 675
23.4%
2 548
19.0%
3 296
10.2%
4 272
9.4%
5 265
 
9.2%
0 189
 
6.5%
7 176
 
6.1%
6 176
 
6.1%
8 164
 
5.7%
9 129
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
B 9
50.0%
S 3
 
16.7%
K 3
 
16.7%
A 2
 
11.1%
D 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 330
99.7%
/ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
3557
100.0%
Close Punctuation
ValueCountFrequency (%)
) 747
100.0%
Open Punctuation
ValueCountFrequency (%)
( 747
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11879
58.6%
Common 8363
41.3%
Latin 18
 
0.1%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 936
 
7.9%
북 743
 
6.3%
성 742
 
6.2%
서 725
 
6.1%
구 717
 
6.0%
별 717
 
6.0%
시 716
 
6.0%
특 716
 
6.0%
울 716
 
6.0%
로 701
 
5.9%
Other values (140) 4450
37.5%
Common
ValueCountFrequency (%)
3557
42.5%
) 747
 
8.9%
( 747
 
8.9%
1 675
 
8.1%
2 548
 
6.6%
, 330
 
3.9%
3 296
 
3.5%
4 272
 
3.3%
5 265
 
3.2%
0 189
 
2.3%
Other values (7) 737
 
8.8%
Latin
ValueCountFrequency (%)
B 9
50.0%
S 3
 
16.7%
K 3
 
16.7%
A 2
 
11.1%
D 1
 
5.6%
Han
ValueCountFrequency (%)
坪 1
50.0%
淸 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11879
58.6%
ASCII 8381
41.4%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3557
42.4%
) 747
 
8.9%
( 747
 
8.9%
1 675
 
8.1%
2 548
 
6.5%
, 330
 
3.9%
3 296
 
3.5%
4 272
 
3.2%
5 265
 
3.2%
0 189
 
2.3%
Other values (12) 755
 
9.0%
Hangul
ValueCountFrequency (%)
동 936
 
7.9%
북 743
 
6.3%
성 742
 
6.2%
서 725
 
6.1%
구 717
 
6.0%
별 717
 
6.0%
시 716
 
6.0%
특 716
 
6.0%
울 716
 
6.0%
로 701
 
5.9%
Other values (140) 4450
37.5%
CJK
ValueCountFrequency (%)
坪 1
50.0%
淸 1
50.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct115
Distinct (%)44.2%
Missing525
Missing (%)66.9%
Infinite0
Infinite (%)0.0%
Mean50078.812
Minimum2705
Maximum136868
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2024-05-11T15:35:34.684132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2705
5-th percentile2711
Q12767.5
median2842
Q3136090.5
95-th percentile136837.4
Maximum136868
Range134163
Interquartile range (IQR)133323

Descriptive statistics

Standard deviation64033.081
Coefficient of variation (CV)1.2786462
Kurtosis-1.6344686
Mean50078.812
Median Absolute Deviation (MAD)104
Skewness0.61490516
Sum13020491
Variance4.1002355 × 109
MonotonicityNot monotonic
2024-05-11T15:35:34.928164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2842 9
 
1.1%
2781 8
 
1.0%
2845 7
 
0.9%
2855 7
 
0.9%
2751 6
 
0.8%
2711 6
 
0.8%
136051 6
 
0.8%
2797 5
 
0.6%
136817 5
 
0.6%
136075 5
 
0.6%
Other values (105) 196
 
25.0%
(Missing) 525
66.9%
ValueCountFrequency (%)
2705 1
 
0.1%
2709 3
0.4%
2710 5
0.6%
2711 6
0.8%
2712 1
 
0.1%
2713 1
 
0.1%
2716 1
 
0.1%
2721 4
0.5%
2722 3
0.4%
2729 1
 
0.1%
ValueCountFrequency (%)
136868 1
 
0.1%
136864 1
 
0.1%
136863 1
 
0.1%
136862 1
 
0.1%
136861 4
0.5%
136859 1
 
0.1%
136858 1
 
0.1%
136849 2
0.3%
136845 1
 
0.1%
136837 2
0.3%

사업장명
Text

Distinct712
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
2024-05-11T15:35:35.315105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length31
Mean length6.3834395
Min length1

Characters and Unicode

Total characters5011
Distinct characters439
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique655 ?
Unique (%)83.4%

Sample

1st row넷토피아PC방
2nd row닥터PC방
3rd row밀레니엄PC방
4th row유림PC방
5th row헬렛
ValueCountFrequency (%)
pc방 61
 
6.1%
pc 31
 
3.1%
대박pc 6
 
0.6%
프로게이머 5
 
0.5%
제너시스21 5
 
0.5%
5
 
0.5%
아이센스 4
 
0.4%
클릭 4
 
0.4%
캐슬pc방 4
 
0.4%
bug 4
 
0.4%
Other values (774) 874
87.1%
2024-05-11T15:35:35.957700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 442
 
8.8%
C 441
 
8.8%
방 293
 
5.8%
221
 
4.4%
이 187
 
3.7%
스 140
 
2.8%
넷 106
 
2.1%
인 86
 
1.7%
피 85
 
1.7%
터 83
 
1.7%
Other values (429) 2927
58.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3237
64.6%
Uppercase Letter 1178
 
23.5%
Space Separator 221
 
4.4%
Lowercase Letter 144
 
2.9%
Decimal Number 101
 
2.0%
Open Punctuation 48
 
1.0%
Close Punctuation 48
 
1.0%
Other Punctuation 21
 
0.4%
Dash Punctuation 10
 
0.2%
Math Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 293
 
9.1%
이 187
 
5.8%
스 140
 
4.3%
넷 106
 
3.3%
인 86
 
2.7%
피 85
 
2.6%
터 83
 
2.6%
아 77
 
2.4%
시 55
 
1.7%
드 55
 
1.7%
Other values (359) 2070
63.9%
Uppercase Letter
ValueCountFrequency (%)
P 442
37.5%
C 441
37.4%
N 36
 
3.1%
E 29
 
2.5%
O 27
 
2.3%
A 26
 
2.2%
S 18
 
1.5%
G 18
 
1.5%
I 18
 
1.5%
T 18
 
1.5%
Other values (16) 105
 
8.9%
Lowercase Letter
ValueCountFrequency (%)
p 21
14.6%
c 19
13.2%
o 17
11.8%
e 15
10.4%
n 9
 
6.2%
r 7
 
4.9%
a 7
 
4.9%
y 7
 
4.9%
t 6
 
4.2%
u 5
 
3.5%
Other values (13) 31
21.5%
Decimal Number
ValueCountFrequency (%)
2 37
36.6%
1 24
23.8%
0 16
15.8%
3 10
 
9.9%
9 4
 
4.0%
5 3
 
3.0%
4 3
 
3.0%
7 3
 
3.0%
8 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
. 14
66.7%
, 2
 
9.5%
: 1
 
4.8%
? 1
 
4.8%
# 1
 
4.8%
@ 1
 
4.8%
& 1
 
4.8%
Space Separator
ValueCountFrequency (%)
221
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3236
64.6%
Latin 1322
26.4%
Common 452
 
9.0%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 293
 
9.1%
이 187
 
5.8%
스 140
 
4.3%
넷 106
 
3.3%
인 86
 
2.7%
피 85
 
2.6%
터 83
 
2.6%
아 77
 
2.4%
시 55
 
1.7%
드 55
 
1.7%
Other values (358) 2069
63.9%
Latin
ValueCountFrequency (%)
P 442
33.4%
C 441
33.4%
N 36
 
2.7%
E 29
 
2.2%
O 27
 
2.0%
A 26
 
2.0%
p 21
 
1.6%
c 19
 
1.4%
S 18
 
1.4%
G 18
 
1.4%
Other values (39) 245
18.5%
Common
ValueCountFrequency (%)
221
48.9%
( 48
 
10.6%
) 48
 
10.6%
2 37
 
8.2%
1 24
 
5.3%
0 16
 
3.5%
. 14
 
3.1%
- 10
 
2.2%
3 10
 
2.2%
9 4
 
0.9%
Other values (11) 20
 
4.4%
Han
ValueCountFrequency (%)
秀 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3234
64.5%
ASCII 1774
35.4%
Compat Jamo 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
P 442
24.9%
C 441
24.9%
221
12.5%
( 48
 
2.7%
) 48
 
2.7%
2 37
 
2.1%
N 36
 
2.0%
E 29
 
1.6%
O 27
 
1.5%
A 26
 
1.5%
Other values (60) 419
23.6%
Hangul
ValueCountFrequency (%)
방 293
 
9.1%
이 187
 
5.8%
스 140
 
4.3%
넷 106
 
3.3%
인 86
 
2.7%
피 85
 
2.6%
터 83
 
2.6%
아 77
 
2.4%
시 55
 
1.7%
드 55
 
1.7%
Other values (357) 2067
63.9%
Compat Jamo
ValueCountFrequency (%)
ㅋ 2
100.0%
CJK
ValueCountFrequency (%)
秀 1
100.0%

최종수정일자
Date

Distinct725
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
Minimum2003-04-18 14:23:41
Maximum2024-04-15 17:29:23
2024-05-11T15:35:36.182716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:35:36.351861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
I
662 
U
122 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
I 662
84.3%
U 122
 
15.5%
D 1
 
0.1%

Length

2024-05-11T15:35:36.586993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:35:36.746413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 662
84.3%
u 122
 
15.5%
d 1
 
0.1%

데이터갱신일자
Date

Distinct78
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:07:00
2024-05-11T15:35:36.886922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:35:37.069039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing785
Missing (%)100.0%
Memory size7.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct569
Distinct (%)74.3%
Missing19
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean202699.34
Minimum199469.85
Maximum205688.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2024-05-11T15:35:37.281216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum199469.85
5-th percentile200584.64
Q1201465.19
median202519.13
Q3203914.3
95-th percentile205407.28
Maximum205688.26
Range6218.4069
Interquartile range (IQR)2449.1049

Descriptive statistics

Standard deviation1550.9437
Coefficient of variation (CV)0.0076514491
Kurtosis-0.98564843
Mean202699.34
Median Absolute Deviation (MAD)1120.7574
Skewness0.28107999
Sum1.5526769 × 108
Variance2405426.2
MonotonicityNot monotonic
2024-05-11T15:35:37.814034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202964.160143373 5
 
0.6%
201635.007796434 4
 
0.5%
202029.981799661 4
 
0.5%
201368.664402353 4
 
0.5%
200771.40526517 4
 
0.5%
202914.272616148 4
 
0.5%
203587.952546509 4
 
0.5%
203685.454706527 4
 
0.5%
204164.128526961 4
 
0.5%
202512.519673158 3
 
0.4%
Other values (559) 726
92.5%
(Missing) 19
 
2.4%
ValueCountFrequency (%)
199469.849018432 1
 
0.1%
199500.857483996 1
 
0.1%
199628.172805473 1
 
0.1%
199818.083658016 3
0.4%
199853.320628949 1
 
0.1%
199879.503541974 1
 
0.1%
199887.799840566 1
 
0.1%
199892.549870299 1
 
0.1%
199949.462983816 1
 
0.1%
200054.348087136 1
 
0.1%
ValueCountFrequency (%)
205688.255889394 1
0.1%
205669.62299598 2
0.3%
205663.26961094 1
0.1%
205662.098794841 1
0.1%
205655.974545101 1
0.1%
205654.504634464 2
0.3%
205645.892205921 1
0.1%
205635.02734733 1
0.1%
205612.235922866 1
0.1%
205600.012028933 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct569
Distinct (%)74.3%
Missing19
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean455446.68
Minimum453044.26
Maximum457751.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2024-05-11T15:35:37.986669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum453044.26
5-th percentile453504.18
Q1454319.08
median455712.04
Q3456513.05
95-th percentile457078.18
Maximum457751.87
Range4707.608
Interquartile range (IQR)2193.9646

Descriptive statistics

Standard deviation1212.0755
Coefficient of variation (CV)0.0026612896
Kurtosis-1.2399678
Mean455446.68
Median Absolute Deviation (MAD)1052.7469
Skewness-0.24910377
Sum3.4887215 × 108
Variance1469127
MonotonicityNot monotonic
2024-05-11T15:35:38.158734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
455119.312446975 5
 
0.6%
453637.781858867 4
 
0.5%
455605.716911266 4
 
0.5%
454723.478583342 4
 
0.5%
456645.212754152 4
 
0.5%
455091.393638592 4
 
0.5%
456863.235826776 4
 
0.5%
455781.509111514 4
 
0.5%
456806.006561101 4
 
0.5%
453612.682699831 3
 
0.4%
Other values (559) 726
92.5%
(Missing) 19
 
2.4%
ValueCountFrequency (%)
453044.258471435 1
0.1%
453074.673708059 1
0.1%
453096.181839532 1
0.1%
453106.531159636 1
0.1%
453128.633791705 1
0.1%
453146.254025934 2
0.3%
453156.226397094 1
0.1%
453195.987837268 1
0.1%
453203.642427012 1
0.1%
453261.247477547 1
0.1%
ValueCountFrequency (%)
457751.866435594 1
0.1%
457726.529033725 1
0.1%
457561.490871873 1
0.1%
457517.785910379 1
0.1%
457503.002571573 1
0.1%
457486.12146569 1
0.1%
457478.557352755 2
0.3%
457438.223359237 2
0.3%
457430.596672763 1
0.1%
457386.368165398 1
0.1%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
인터넷컴퓨터게임시설제공업
735 
<NA>
 
50

Length

Max length13
Median length13
Mean length12.426752
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 735
93.6%
<NA> 50
 
6.4%

Length

2024-05-11T15:35:38.343328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:35:38.503832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 735
93.6%
na 50
 
6.4%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
유통관련업
735 
<NA>
 
50

Length

Max length5
Median length5
Mean length4.9363057
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 735
93.6%
<NA> 50
 
6.4%

Length

2024-05-11T15:35:38.633041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:35:38.775858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 735
93.6%
na 50
 
6.4%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)2.5%
Missing220
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean2.1150442
Minimum0
Maximum25
Zeros297
Zeros (%)37.8%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2024-05-11T15:35:38.900502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile6
Maximum25
Range25
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.7117822
Coefficient of variation (CV)1.2821397
Kurtosis9.6261893
Mean2.1150442
Median Absolute Deviation (MAD)0
Skewness1.9396796
Sum1195
Variance7.3537626
MonotonicityNot monotonic
2024-05-11T15:35:39.020452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 297
37.8%
4 76
 
9.7%
3 58
 
7.4%
5 48
 
6.1%
6 38
 
4.8%
2 18
 
2.3%
7 8
 
1.0%
1 8
 
1.0%
8 7
 
0.9%
9 3
 
0.4%
Other values (4) 4
 
0.5%
(Missing) 220
28.0%
ValueCountFrequency (%)
0 297
37.8%
1 8
 
1.0%
2 18
 
2.3%
3 58
 
7.4%
4 76
 
9.7%
5 48
 
6.1%
6 38
 
4.8%
7 8
 
1.0%
8 7
 
0.9%
9 3
 
0.4%
ValueCountFrequency (%)
25 1
 
0.1%
16 1
 
0.1%
15 1
 
0.1%
10 1
 
0.1%
9 3
 
0.4%
8 7
 
0.9%
7 8
 
1.0%
6 38
4.8%
5 48
6.1%
4 76
9.7%

주변환경명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
747 
주택가주변
 
16
기타
 
12
유흥업소밀집지역
 
7
학교정화(상대)
 
2

Length

Max length8
Median length4
Mean length4.0369427
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 747
95.2%
주택가주변 16
 
2.0%
기타 12
 
1.5%
유흥업소밀집지역 7
 
0.9%
학교정화(상대) 2
 
0.3%
아파트지역 1
 
0.1%

Length

2024-05-11T15:35:39.173867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:35:39.311949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 747
95.2%
주택가주변 16
 
2.0%
기타 12
 
1.5%
유흥업소밀집지역 7
 
0.9%
학교정화(상대 2
 
0.3%
아파트지역 1
 
0.1%

제작취급품목내용
Text

MISSING 

Distinct8
Distinct (%)80.0%
Missing775
Missing (%)98.7%
Memory size6.3 KiB
2024-05-11T15:35:39.488050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length12
Mean length10.6
Min length3

Characters and Unicode

Total characters106
Distinct characters36
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)60.0%

Sample

1st row온라인(인터넷)게임
2nd row온라인 게임
3rd row온라인 게임
4th row온라인게임
5th row온라인게임
ValueCountFrequency (%)
온라인 2
15.4%
게임 2
15.4%
온라인게임 2
15.4%
온라인(인터넷)게임 1
7.7%
온라인게임(한게임,넷마블,블루마린 1
7.7%
온라인게임(한게임,리니지,아크로드,스타크래프트 1
7.7%
등 1
7.7%
리니지 1
7.7%
인터넷컴퓨터게임시설제공업 1
7.7%
인터넷컴퓨터시설제공업 1
7.7%
2024-05-11T15:35:39.774127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 10
 
9.4%
게 10
 
9.4%
임 10
 
9.4%
온 7
 
6.6%
라 7
 
6.6%
, 5
 
4.7%
터 5
 
4.7%
넷 4
 
3.8%
) 3
 
2.8%
( 3
 
2.8%
Other values (26) 42
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 92
86.8%
Other Punctuation 5
 
4.7%
Close Punctuation 3
 
2.8%
Open Punctuation 3
 
2.8%
Space Separator 3
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 10
 
10.9%
게 10
 
10.9%
임 10
 
10.9%
온 7
 
7.6%
라 7
 
7.6%
터 5
 
5.4%
넷 4
 
4.3%
공 2
 
2.2%
제 2
 
2.2%
설 2
 
2.2%
Other values (22) 33
35.9%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 92
86.8%
Common 14
 
13.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 10
 
10.9%
게 10
 
10.9%
임 10
 
10.9%
온 7
 
7.6%
라 7
 
7.6%
터 5
 
5.4%
넷 4
 
4.3%
공 2
 
2.2%
제 2
 
2.2%
설 2
 
2.2%
Other values (22) 33
35.9%
Common
ValueCountFrequency (%)
, 5
35.7%
) 3
21.4%
( 3
21.4%
3
21.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 92
86.8%
ASCII 14
 
13.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 10
 
10.9%
게 10
 
10.9%
임 10
 
10.9%
온 7
 
7.6%
라 7
 
7.6%
터 5
 
5.4%
넷 4
 
4.3%
공 2
 
2.2%
제 2
 
2.2%
설 2
 
2.2%
Other values (22) 33
35.9%
ASCII
ValueCountFrequency (%)
, 5
35.7%
) 3
21.4%
( 3
21.4%
3
21.4%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct320
Distinct (%)43.6%
Missing51
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean168.53944
Minimum0
Maximum17179
Zeros363
Zeros (%)46.2%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2024-05-11T15:35:39.907529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median16.51
Q3136.59
95-th percentile236.6305
Maximum17179
Range17179
Interquartile range (IQR)136.59

Descriptive statistics

Standard deviation1225.342
Coefficient of variation (CV)7.2703578
Kurtosis155.95973
Mean168.53944
Median Absolute Deviation (MAD)16.51
Skewness12.391979
Sum123707.95
Variance1501463.1
MonotonicityNot monotonic
2024-05-11T15:35:40.057750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 363
46.2%
23.1 6
 
0.8%
149.0 4
 
0.5%
26.4 4
 
0.5%
126.2 4
 
0.5%
155.33 3
 
0.4%
146.0 2
 
0.3%
96.28 2
 
0.3%
27.0 2
 
0.3%
20.0 2
 
0.3%
Other values (310) 342
43.6%
(Missing) 51
 
6.5%
ValueCountFrequency (%)
0.0 363
46.2%
9.9 1
 
0.1%
14.0 1
 
0.1%
16.5 2
 
0.3%
16.52 1
 
0.1%
16.53 1
 
0.1%
17.5 1
 
0.1%
19.8 1
 
0.1%
20.0 2
 
0.3%
22.0 1
 
0.1%
ValueCountFrequency (%)
17179.0 1
0.1%
17147.0 1
0.1%
14898.0 1
0.1%
13979.0 1
0.1%
10238.0 1
0.1%
1058.24 1
0.1%
498.31 1
0.1%
470.0 1
0.1%
409.48 1
0.1%
398.25 1
0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)2.0%
Missing221
Missing (%)28.2%
Infinite0
Infinite (%)0.0%
Mean1.6879433
Minimum0
Maximum15
Zeros297
Zeros (%)37.8%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2024-05-11T15:35:40.207462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile6
Maximum15
Range15
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.239274
Coefficient of variation (CV)1.3266287
Kurtosis3.8251624
Mean1.6879433
Median Absolute Deviation (MAD)0
Skewness1.5487644
Sum952
Variance5.0143482
MonotonicityNot monotonic
2024-05-11T15:35:40.358594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 297
37.8%
3 60
 
7.6%
4 52
 
6.6%
2 50
 
6.4%
5 39
 
5.0%
1 33
 
4.2%
6 20
 
2.5%
7 5
 
0.6%
8 3
 
0.4%
9 3
 
0.4%
(Missing) 221
28.2%
ValueCountFrequency (%)
0 297
37.8%
1 33
 
4.2%
2 50
 
6.4%
3 60
 
7.6%
4 52
 
6.6%
5 39
 
5.0%
6 20
 
2.5%
7 5
 
0.6%
8 3
 
0.4%
9 3
 
0.4%
ValueCountFrequency (%)
15 2
 
0.3%
9 3
 
0.4%
8 3
 
0.4%
7 5
 
0.6%
6 20
 
2.5%
5 39
5.0%
4 52
6.6%
3 60
7.6%
2 50
6.4%
1 33
4.2%

지하층수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct8
Distinct (%)1.7%
Missing307
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean0.88702929
Minimum0
Maximum200
Zeros299
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2024-05-11T15:35:40.479834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum200
Range200
Interquartile range (IQR)1

Descriptive statistics

Standard deviation9.1610217
Coefficient of variation (CV)10.327756
Kurtosis470.75123
Mean0.88702929
Median Absolute Deviation (MAD)0
Skewness21.616663
Sum424
Variance83.924318
MonotonicityNot monotonic
2024-05-11T15:35:40.644270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 299
38.1%
1 157
20.0%
2 9
 
1.1%
3 5
 
0.6%
4 3
 
0.4%
5 2
 
0.3%
6 2
 
0.3%
200 1
 
0.1%
(Missing) 307
39.1%
ValueCountFrequency (%)
0 299
38.1%
1 157
20.0%
2 9
 
1.1%
3 5
 
0.6%
4 3
 
0.4%
5 2
 
0.3%
6 2
 
0.3%
200 1
 
0.1%
ValueCountFrequency (%)
200 1
 
0.1%
6 2
 
0.3%
5 2
 
0.3%
4 3
 
0.4%
3 5
 
0.6%
2 9
 
1.1%
1 157
20.0%
0 299
38.1%

건물용도명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
667 
근린생활시설
117 
판매시설
 
1

Length

Max length6
Median length4
Mean length4.2980892
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 667
85.0%
근린생활시설 117
 
14.9%
판매시설 1
 
0.1%

Length

2024-05-11T15:35:40.829321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:35:40.959104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 667
85.0%
근린생활시설 117
 
14.9%
판매시설 1
 
0.1%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
781 
0
 
4

Length

Max length4
Median length4
Mean length3.9847134
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> 781
99.5%
0 4
 
0.5%

Length

2024-05-11T15:35:41.086030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:35:41.185813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 781
99.5%
0 4
 
0.5%

조명시설조도
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)60.0%
Missing775
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean80.3
Minimum0
Maximum300
Zeros4
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2024-05-11T15:35:41.276271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median75
Q3117.25
95-th percentile223.5
Maximum300
Range300
Interquartile range (IQR)117.25

Descriptive statistics

Standard deviation94.309243
Coefficient of variation (CV)1.1744613
Kurtosis2.5765666
Mean80.3
Median Absolute Deviation (MAD)65
Skewness1.4440894
Sum803
Variance8894.2333
MonotonicityNot monotonic
2024-05-11T15:35:41.386278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 4
 
0.5%
100 2
 
0.3%
300 1
 
0.1%
130 1
 
0.1%
50 1
 
0.1%
123 1
 
0.1%
(Missing) 775
98.7%
ValueCountFrequency (%)
0 4
0.5%
50 1
 
0.1%
100 2
0.3%
123 1
 
0.1%
130 1
 
0.1%
300 1
 
0.1%
ValueCountFrequency (%)
300 1
 
0.1%
130 1
 
0.1%
123 1
 
0.1%
100 2
0.3%
50 1
 
0.1%
0 4
0.5%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
781 
0
 
4

Length

Max length4
Median length4
Mean length3.9847134
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> 781
99.5%
0 4
 
0.5%

Length

2024-05-11T15:35:41.514441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:35:41.614816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 781
99.5%
0 4
 
0.5%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
781 
0
 
4

Length

Max length4
Median length4
Mean length3.9847134
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> 781
99.5%
0 4
 
0.5%

Length

2024-05-11T15:35:41.731495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:35:41.846771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 781
99.5%
0 4
 
0.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing785
Missing (%)100.0%
Memory size7.0 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing785
Missing (%)100.0%
Memory size7.0 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing785
Missing (%)100.0%
Memory size7.0 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing785
Missing (%)100.0%
Memory size7.0 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing785
Missing (%)100.0%
Memory size7.0 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing785
Missing (%)100.0%
Memory size7.0 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing785
Missing (%)100.0%
Memory size7.0 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing785
Missing (%)100.0%
Memory size7.0 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing785
Missing (%)100.0%
Memory size7.0 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing785
Missing (%)100.0%
Memory size7.0 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing785
Missing (%)100.0%
Memory size7.0 KiB

총게임기수
Real number (ℝ)

MISSING 

Distinct88
Distinct (%)31.3%
Missing504
Missing (%)64.2%
Infinite0
Infinite (%)0.0%
Mean48.291815
Minimum4
Maximum370
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2024-05-11T15:35:41.978057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6
Q115
median49
Q360
95-th percentile105
Maximum370
Range366
Interquartile range (IQR)45

Descriptive statistics

Standard deviation39.505247
Coefficient of variation (CV)0.81805265
Kurtosis17.036344
Mean48.291815
Median Absolute Deviation (MAD)16
Skewness2.8224626
Sum13570
Variance1560.6645
MonotonicityNot monotonic
2024-05-11T15:35:42.189868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 19
 
2.4%
8 16
 
2.0%
50 12
 
1.5%
6 11
 
1.4%
60 10
 
1.3%
40 10
 
1.3%
56 8
 
1.0%
49 7
 
0.9%
41 7
 
0.9%
47 7
 
0.9%
Other values (78) 174
 
22.2%
(Missing) 504
64.2%
ValueCountFrequency (%)
4 2
 
0.3%
5 7
 
0.9%
6 11
1.4%
7 19
2.4%
8 16
2.0%
9 5
 
0.6%
10 5
 
0.6%
11 1
 
0.1%
12 1
 
0.1%
13 2
 
0.3%
ValueCountFrequency (%)
370 1
0.1%
210 1
0.1%
205 1
0.1%
180 1
0.1%
175 1
0.1%
163 1
0.1%
150 1
0.1%
136 1
0.1%
135 1
0.1%
133 1
0.1%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing785
Missing (%)100.0%
Memory size7.0 KiB

제공게임물명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
707 
전체이용가
 
67
청소년이용불가
 
10
전체이용가 및 청소년이용불가
 
1

Length

Max length15
Median length4
Mean length4.1375796
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 707
90.1%
전체이용가 67
 
8.5%
청소년이용불가 10
 
1.3%
전체이용가 및 청소년이용불가 1
 
0.1%

Length

2024-05-11T15:35:42.370935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:35:42.524246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 707
89.8%
전체이용가 68
 
8.6%
청소년이용불가 11
 
1.4%
및 1
 
0.1%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing785
Missing (%)100.0%
Memory size7.0 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing785
Missing (%)100.0%
Memory size7.0 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing785
Missing (%)100.0%
Memory size7.0 KiB

지역구분명
Categorical

IMBALANCE 

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
711 
일반주거지역
 
46
근린상업지역
 
16
일반상업지역
 
4
주거지역
 
3
Other values (3)
 
5

Length

Max length6
Median length4
Mean length4.1732484
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 711
90.6%
일반주거지역 46
 
5.9%
근린상업지역 16
 
2.0%
일반상업지역 4
 
0.5%
주거지역 3
 
0.4%
준주거지역 2
 
0.3%
상업지역 2
 
0.3%
전용주거지역 1
 
0.1%

Length

2024-05-11T15:35:42.723882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:35:42.978310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 711
90.6%
일반주거지역 46
 
5.9%
근린상업지역 16
 
2.0%
일반상업지역 4
 
0.5%
주거지역 3
 
0.4%
준주거지역 2
 
0.3%
상업지역 2
 
0.3%
전용주거지역 1
 
0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03070000CDFF224102199900000119990722<NA>3폐업3폐업20010212<NA><NA><NA>910-8601<NA>136865서울특별시 성북구 하월곡동 34-44번지서울특별시 성북구 월곡로 106-1 (하월곡동)<NA>넷토피아PC방2003-04-18 14:23:41I2018-08-31 23:59:59.0<NA>203595.384637455453.171543인터넷컴퓨터게임시설제공업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13070000CDFF224102199900000219990722<NA>3폐업3폐업20020101<NA><NA><NA>913-2449<NA><NA>서울특별시 성북구 길음동 536-1번지<NA><NA>닥터PC방2010-06-25 13:59:50I2018-08-31 23:59:59.0<NA><NA><NA>인터넷컴퓨터게임시설제공업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23070000CDFF224102199900000319990728<NA>3폐업3폐업20020101<NA><NA><NA>942-1464<NA><NA>서울특별시 성북구 정릉동 372-2번지서울특별시 성북구 솔샘로6길 42 (정릉동)<NA>밀레니엄PC방2010-06-25 14:43:25I2018-08-31 23:59:59.0<NA>200598.003123456338.958453인터넷컴퓨터게임시설제공업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33070000CDFF224102199900000419990728<NA>3폐업3폐업20020101<NA><NA><NA>917-1094<NA><NA>서울특별시 성북구 장위동 203-18번지서울특별시 성북구 장월로 141-3 (장위동)<NA>유림PC방2010-06-25 10:03:44I2018-08-31 23:59:59.0<NA>204406.893659457283.117649인터넷컴퓨터게임시설제공업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43070000CDFF224102199900000519990728<NA>3폐업3폐업20020101<NA><NA><NA>943-0377<NA><NA>서울특별시 성북구 장위동 199-26번지서울특별시 성북구 장월로 149 (장위동)<NA>헬렛2010-06-25 10:12:29I2018-08-31 23:59:59.0<NA>204464.539303457334.434085인터넷컴퓨터게임시설제공업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53070000CDFF224102199900000619990728<NA>3폐업3폐업20010131<NA><NA><NA>918-3950<NA>136852서울특별시 성북구 정릉동 716-53번지서울특별시 성북구 솔샘로 28 (정릉동)<NA>인터넷매직월드2003-04-18 14:23:41I2018-08-31 23:59:59.0<NA>200404.958823456404.385289인터넷컴퓨터게임시설제공업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63070000CDFF224102199900000719990728<NA>3폐업3폐업20020101<NA><NA><NA>918-3281<NA><NA>서울특별시 성북구 장위동 233-592번지서울특별시 성북구 장위로 78-1 (장위동)<NA>큐멀티게임장2010-06-25 10:32:54I2018-08-31 23:59:59.0<NA>203938.158095456828.052464인터넷컴퓨터게임시설제공업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73070000CDFF224102199900000819990731<NA>3폐업3폐업20020101<NA><NA><NA>910-8168<NA><NA>서울특별시 성북구 하월곡동 79-107번지서울특별시 성북구 월계로 52 (하월곡동)<NA>헌터PC방2010-06-24 17:18:11I2018-08-31 23:59:59.0<NA>203069.087935456567.336847인터넷컴퓨터게임시설제공업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83070000CDFF224102199900000919990731<NA>3폐업3폐업20020101<NA><NA><NA>345-7763<NA><NA>서울특별시 성북구 정릉동 957-5번지서울특별시 성북구 정릉로6길 31 (정릉동)<NA>베틀넷2010-06-25 14:48:05I2018-08-31 23:59:59.0<NA>199469.849018456431.557621인터넷컴퓨터게임시설제공업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93070000CDFF224102199900001019990731<NA>3폐업3폐업20010608<NA><NA><NA>3492-5395<NA>136836서울특별시 성북구 장위동 231-25번지서울특별시 성북구 장위로 56 (장위동)<NA>클릭하세요2003-04-18 14:23:41I2018-08-31 23:59:59.0<NA>203707.193417456834.989482인터넷컴퓨터게임시설제공업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
7753070000CDFF224102201900000620190925<NA>3폐업3폐업20201231<NA><NA><NA><NA><NA><NA>서울특별시 성북구 석관동 58-283서울특별시 성북구 돌곶이로8길 29, 1층 (석관동)2785로또PC2020-12-31 17:29:08U2021-01-02 02:40:00.0<NA>205487.980312456091.02018인터넷컴퓨터게임시설제공업유통관련업3기타<NA>23.13<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6<NA>청소년이용불가<NA><NA><NA><NA>
7763070000CDFF22410220190000072019-09-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 하월곡동 70-202 제일은행 하월곡동지점서울특별시 성북구 오패산로 49, 제일은행 하월곡동지점 (하월곡동)2738PC나인2023-10-13 14:13:36U2022-10-30 23:05:00.0<NA>203148.807469456008.527498<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>
7773070000CDFF224102201900000820191223<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 석관동 168-34서울특별시 성북구 화랑로 316, 1층 (석관동)2781석계PC2022-11-10 13:28:46U2021-10-31 23:02:00.0<NA>205520.106568456854.846058<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>
7783070000CDFF224102202000000120200220<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 장위동 203-9서울특별시 성북구 장월로 144-1, 2,3층 (장위동)2766라이킷 PC2020-11-20 09:29:00U2020-11-22 02:40:00.0<NA>204435.160678457258.924116인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>230.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>95<NA>전체이용가<NA><NA><NA><NA>
7793070000CDFF22410220200000022020-02-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 길음동 525-170서울특별시 성북구 동소문로 277, 1층 (길음동)2732에이스 PC , 2023-10-09(재등록)2023-10-20 09:01:41U2022-10-30 22:02:00.0<NA>202251.669176455908.063295<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>
7803070000CDFF224102202100000120210115<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 종암동 3-1256서울특별시 성북구 종암로22길 9, 2층 (종암동)2797선pc방2021-07-29 16:45:07U2021-07-31 02:40:00.0<NA>203006.519947455284.402262인터넷컴퓨터게임시설제공업유통관련업0<NA><NA>94.000근린생활시설0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>8<NA>청소년이용불가<NA><NA><NA><NA>
7813070000CDFF224102202100000220210427<NA>3폐업3폐업20221229<NA><NA><NA><NA><NA><NA>서울특별시 성북구 석관동 71-8서울특별시 성북구 한천로 563, 1층 (석관동)2784초능력PC2022-12-29 20:46:54U2021-11-01 21:01:00.0<NA>205510.999811456415.941878<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>
7823070000CDFF224102202200000120220811<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 길음동 1276 삼부아파트서울특별시 성북구 동소문로 248, 105동 지하1층 2호 (길음동, 삼부아파트)2735제로100PC2022-12-22 13:12:10U2021-11-01 22:04:00.0<NA>202029.9818455605.716911<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>
7833070000CDFF22410220230000012023-04-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 동선동1가 118-1서울특별시 성북구 동소문로 120, 지하층 (동선동1가)2845이스포츠PC방2023-04-10 21:06:42I2022-12-03 23:02:00.0<NA>201555.376594454576.867901<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>
7843070000CDFF22410220230000022023-11-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 석관동 301-30 상희빌딩서울특별시 성북구 돌곶이로 48, 상희빌딩 3층 (석관동)2784ㅋㅋPC2023-11-17 16:16:46I2022-10-31 23:09:00.0<NA>205210.385079456241.17348<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>