Overview

Dataset statistics

Number of variables56
Number of observations591
Missing cells14898
Missing cells (%)45.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory277.7 KiB
Average record size in memory481.2 B

Variable types

Categorical13
Text5
DateTime4
Numeric12
Unsupported16
Boolean6

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
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-17246/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
지하층수 is highly imbalanced (50.2%)Imbalance
건물용도명 is highly imbalanced (53.8%)Imbalance
총게임기수 is highly imbalanced (67.6%)Imbalance
지역구분명 is highly imbalanced (66.1%)Imbalance
인허가취소일자 has 579 (98.0%) missing valuesMissing
폐업일자 has 318 (53.8%) missing valuesMissing
휴업시작일자 has 591 (100.0%) missing valuesMissing
휴업종료일자 has 591 (100.0%) missing valuesMissing
재개업일자 has 591 (100.0%) missing valuesMissing
전화번호 has 212 (35.9%) missing valuesMissing
소재지면적 has 591 (100.0%) missing valuesMissing
소재지우편번호 has 444 (75.1%) missing valuesMissing
도로명주소 has 25 (4.2%) missing valuesMissing
도로명우편번호 has 441 (74.6%) missing valuesMissing
업태구분명 has 591 (100.0%) missing valuesMissing
좌표정보(X) has 16 (2.7%) missing valuesMissing
좌표정보(Y) has 16 (2.7%) missing valuesMissing
총층수 has 373 (63.1%) missing valuesMissing
제작취급품목내용 has 591 (100.0%) missing valuesMissing
시설면적 has 215 (36.4%) missing valuesMissing
지상층수 has 368 (62.3%) missing valuesMissing
통로너비 has 429 (72.6%) missing valuesMissing
조명시설조도 has 432 (73.1%) missing valuesMissing
노래방실수 has 186 (31.5%) missing valuesMissing
청소년실수 has 261 (44.2%) missing valuesMissing
비상계단여부 has 185 (31.3%) missing valuesMissing
비상구여부 has 184 (31.1%) missing valuesMissing
자동환기여부 has 192 (32.5%) missing valuesMissing
청소년실여부 has 178 (30.1%) missing valuesMissing
특수조명여부 has 202 (34.2%) missing valuesMissing
방음시설여부 has 186 (31.5%) missing valuesMissing
비디오재생기명 has 591 (100.0%) missing valuesMissing
조명시설유무 has 591 (100.0%) missing valuesMissing
음향시설여부 has 591 (100.0%) missing valuesMissing
편의시설여부 has 591 (100.0%) missing valuesMissing
소방시설여부 has 591 (100.0%) missing valuesMissing
기존게임업외업종명 has 591 (100.0%) missing valuesMissing
제공게임물명 has 591 (100.0%) missing valuesMissing
공연장형태구분명 has 591 (100.0%) missing valuesMissing
품목명 has 591 (100.0%) missing valuesMissing
최초등록시점 has 591 (100.0%) missing valuesMissing
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
제작취급품목내용 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
제공게임물명 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 46 (7.8%) zerosZeros
시설면적 has 43 (7.3%) zerosZeros
지상층수 has 44 (7.4%) zerosZeros
통로너비 has 26 (4.4%) zerosZeros
조명시설조도 has 27 (4.6%) zerosZeros
청소년실수 has 12 (2.0%) zerosZeros

Reproduction

Analysis started2024-05-11 03:51:27.306626
Analysis finished2024-05-11 03:51:29.422608
Duration2.12 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
3040000
591 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 591
100.0%

Length

2024-05-11T03:51:29.774327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:51:30.142715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 591
100.0%

관리번호
Text

UNIQUE 

Distinct591
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2024-05-11T03:51:30.792024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters11820
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

Unique591 ?
Unique (%)100.0%

Sample

1st rowCDFF3242051992000001
2nd rowCDFF3242051992000002
3rd rowCDFF3242051992000003
4th rowCDFF3242051992000004
5th rowCDFF3242051992000005
ValueCountFrequency (%)
cdff3242051992000001 1
 
0.2%
cdff3242052003000016 1
 
0.2%
cdff3242052004000018 1
 
0.2%
cdff3242052004000012 1
 
0.2%
cdff3242052004000013 1
 
0.2%
cdff3242052004000014 1
 
0.2%
cdff3242052004000015 1
 
0.2%
cdff3242052004000016 1
 
0.2%
cdff3242052004000017 1
 
0.2%
cdff3242052004000019 1
 
0.2%
Other values (581) 581
98.3%
2024-05-11T03:51:31.926836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3784
32.0%
2 1730
14.6%
F 1182
 
10.0%
3 802
 
6.8%
4 787
 
6.7%
5 728
 
6.2%
9 659
 
5.6%
1 651
 
5.5%
C 591
 
5.0%
D 591
 
5.0%
Other values (3) 315
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9456
80.0%
Uppercase Letter 2364
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3784
40.0%
2 1730
18.3%
3 802
 
8.5%
4 787
 
8.3%
5 728
 
7.7%
9 659
 
7.0%
1 651
 
6.9%
6 120
 
1.3%
7 101
 
1.1%
8 94
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
F 1182
50.0%
C 591
25.0%
D 591
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9456
80.0%
Latin 2364
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3784
40.0%
2 1730
18.3%
3 802
 
8.5%
4 787
 
8.3%
5 728
 
7.7%
9 659
 
7.0%
1 651
 
6.9%
6 120
 
1.3%
7 101
 
1.1%
8 94
 
1.0%
Latin
ValueCountFrequency (%)
F 1182
50.0%
C 591
25.0%
D 591
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11820
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3784
32.0%
2 1730
14.6%
F 1182
 
10.0%
3 802
 
6.8%
4 787
 
6.7%
5 728
 
6.2%
9 659
 
5.6%
1 651
 
5.5%
C 591
 
5.0%
D 591
 
5.0%
Other values (3) 315
 
2.7%

인허가일자
Date

Distinct440
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
Minimum1992-07-08 00:00:00
Maximum2023-09-27 00:00:00
2024-05-11T03:51:32.449899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:51:32.899529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)91.7%
Missing579
Missing (%)98.0%
Infinite0
Infinite (%)0.0%
Mean20082293
Minimum20010102
Maximum20200924
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-05-11T03:51:33.368893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20010102
5-th percentile20026989
Q120070546
median20080966
Q320090475
95-th percentile20145708
Maximum20200924
Range190822
Interquartile range (IQR)19928.5

Descriptive statistics

Standard deviation45962.247
Coefficient of variation (CV)0.0022886951
Kurtosis4.1283664
Mean20082293
Median Absolute Deviation (MAD)9660
Skewness1.3035604
Sum2.4098752 × 108
Variance2.1125281 × 109
MonotonicityNot monotonic
2024-05-11T03:51:33.900293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
20080324 2
 
0.3%
20080722 1
 
0.2%
20040805 1
 
0.2%
20010102 1
 
0.2%
20081210 1
 
0.2%
20041214 1
 
0.2%
20200924 1
 
0.2%
20090324 1
 
0.2%
20100531 1
 
0.2%
20090112 1
 
0.2%
(Missing) 579
98.0%
ValueCountFrequency (%)
20010102 1
0.2%
20040805 1
0.2%
20041214 1
0.2%
20080324 2
0.3%
20080722 1
0.2%
20081210 1
0.2%
20090112 1
0.2%
20090324 1
0.2%
20090928 1
0.2%
20100531 1
0.2%
ValueCountFrequency (%)
20200924 1
0.2%
20100531 1
0.2%
20090928 1
0.2%
20090324 1
0.2%
20090112 1
0.2%
20081210 1
0.2%
20080722 1
0.2%
20080324 2
0.3%
20041214 1
0.2%
20040805 1
0.2%

영업상태코드
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
1
301 
3
250 
4
40 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 301
50.9%
3 250
42.3%
4 40
 
6.8%

Length

2024-05-11T03:51:34.324099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:51:34.638661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 301
50.9%
3 250
42.3%
4 40
 
6.8%

영업상태명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
영업/정상
301 
폐업
250 
취소/말소/만료/정지/중지
40 

Length

Max length14
Median length5
Mean length4.3401015
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 301
50.9%
폐업 250
42.3%
취소/말소/만료/정지/중지 40
 
6.8%

Length

2024-05-11T03:51:35.020918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:51:35.389032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 301
50.9%
폐업 250
42.3%
취소/말소/만료/정지/중지 40
 
6.8%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
13
301 
3
250 
35
 
25
31
 
11
30
 
4

Length

Max length2
Median length2
Mean length1.5769882
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 301
50.9%
3 250
42.3%
35 25
 
4.2%
31 11
 
1.9%
30 4
 
0.7%

Length

2024-05-11T03:51:36.222690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:51:36.615623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 301
50.9%
3 250
42.3%
35 25
 
4.2%
31 11
 
1.9%
30 4
 
0.7%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
영업중
301 
폐업
250 
직권말소
 
25
등록취소
 
11
허가취소
 
4

Length

Max length4
Median length3
Mean length2.6446701
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 301
50.9%
폐업 250
42.3%
직권말소 25
 
4.2%
등록취소 11
 
1.9%
허가취소 4
 
0.7%

Length

2024-05-11T03:51:37.160307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:51:37.726164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 301
50.9%
폐업 250
42.3%
직권말소 25
 
4.2%
등록취소 11
 
1.9%
허가취소 4
 
0.7%

폐업일자
Date

MISSING 

Distinct246
Distinct (%)90.1%
Missing318
Missing (%)53.8%
Memory size4.7 KiB
Minimum1996-12-31 00:00:00
Maximum2024-04-22 00:00:00
2024-05-11T03:51:38.228126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:51:38.759231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing591
Missing (%)100.0%
Memory size5.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing591
Missing (%)100.0%
Memory size5.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing591
Missing (%)100.0%
Memory size5.3 KiB

전화번호
Text

MISSING 

Distinct374
Distinct (%)98.7%
Missing212
Missing (%)35.9%
Memory size4.7 KiB
2024-05-11T03:51:39.470569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length8
Mean length8.5963061
Min length7

Characters and Unicode

Total characters3258
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique369 ?
Unique (%)97.4%

Sample

1st row466-6906,
2nd row457-0667
3rd row468-8505
4th row444-3222
5th row469-5060
ValueCountFrequency (%)
461-3815 2
 
0.5%
463-4931 2
 
0.5%
457-0667 2
 
0.5%
464-0629 2
 
0.5%
444-0405 2
 
0.5%
469-6047 2
 
0.5%
2207-9025 2
 
0.5%
446-8886 2
 
0.5%
457-7658 1
 
0.3%
922-2900 1
 
0.3%
Other values (363) 363
95.3%
2024-05-11T03:51:40.789408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 568
17.4%
- 393
12.1%
6 337
10.3%
5 316
9.7%
2 263
8.1%
9 239
7.3%
3 230
7.1%
0 229
7.0%
8 210
 
6.4%
1 182
 
5.6%
Other values (3) 291
8.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2742
84.2%
Dash Punctuation 393
 
12.1%
Other Punctuation 121
 
3.7%
Space Separator 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 568
20.7%
6 337
12.3%
5 316
11.5%
2 263
9.6%
9 239
8.7%
3 230
8.4%
0 229
8.4%
8 210
 
7.7%
1 182
 
6.6%
7 168
 
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 393
100.0%
Other Punctuation
ValueCountFrequency (%)
, 121
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3258
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 568
17.4%
- 393
12.1%
6 337
10.3%
5 316
9.7%
2 263
8.1%
9 239
7.3%
3 230
7.1%
0 229
7.0%
8 210
 
6.4%
1 182
 
5.6%
Other values (3) 291
8.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3258
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 568
17.4%
- 393
12.1%
6 337
10.3%
5 316
9.7%
2 263
8.1%
9 239
7.3%
3 230
7.1%
0 229
7.0%
8 210
 
6.4%
1 182
 
5.6%
Other values (3) 291
8.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing591
Missing (%)100.0%
Memory size5.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)36.7%
Missing444
Missing (%)75.1%
Infinite0
Infinite (%)0.0%
Mean143865.12
Minimum143190
Maximum143962
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-05-11T03:51:41.246394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum143190
5-th percentile143820
Q1143840
median143872
Q3143914
95-th percentile143916
Maximum143962
Range772
Interquartile range (IQR)74

Descriptive statistics

Standard deviation88.885635
Coefficient of variation (CV)0.00061784005
Kurtosis43.215573
Mean143865.12
Median Absolute Deviation (MAD)42
Skewness-5.9252603
Sum21148173
Variance7900.6561
MonotonicityNot monotonic
2024-05-11T03:51:41.736601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
143914 25
 
4.2%
143915 11
 
1.9%
143916 6
 
1.0%
143888 5
 
0.8%
143846 5
 
0.8%
143826 4
 
0.7%
143841 4
 
0.7%
143825 4
 
0.7%
143843 4
 
0.7%
143831 3
 
0.5%
Other values (44) 76
 
12.9%
(Missing) 444
75.1%
ValueCountFrequency (%)
143190 1
 
0.2%
143200 1
 
0.2%
143706 1
 
0.2%
143807 1
 
0.2%
143810 1
 
0.2%
143817 1
 
0.2%
143818 1
 
0.2%
143820 2
0.3%
143821 2
0.3%
143822 3
0.5%
ValueCountFrequency (%)
143962 3
 
0.5%
143918 1
 
0.2%
143917 2
 
0.3%
143916 6
 
1.0%
143915 11
1.9%
143914 25
4.2%
143912 1
 
0.2%
143909 3
 
0.5%
143907 1
 
0.2%
143904 1
 
0.2%

지번주소
Text

Distinct578
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2024-05-11T03:51:42.401035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length31
Mean length23.7022
Min length13

Characters and Unicode

Total characters14008
Distinct characters73
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique567 ?
Unique (%)95.9%

Sample

1st row서울특별시 광진구 화양동 119-5번지
2nd row서울특별시 광진구 화양동 111-124번지 4층
3rd row서울특별시 광진구 자양동 216-21번지 지층
4th row서울특별시 광진구 자양동 553-20 지하
5th row서울특별시 광진구 화양동 6-2번지 2층
ValueCountFrequency (%)
서울특별시 591
22.0%
광진구 591
22.0%
화양동 158
 
5.9%
자양동 134
 
5.0%
구의동 126
 
4.7%
지하1층 108
 
4.0%
중곡동 108
 
4.0%
지층 98
 
3.6%
2층 32
 
1.2%
군자동 31
 
1.2%
Other values (581) 708
26.4%
2024-05-11T03:51:43.500623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2606
18.6%
구 717
 
5.1%
지 665
 
4.7%
광 602
 
4.3%
동 596
 
4.3%
진 592
 
4.2%
서 591
 
4.2%
특 591
 
4.2%
별 591
 
4.2%
시 591
 
4.2%
Other values (63) 5866
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8072
57.6%
Decimal Number 2624
 
18.7%
Space Separator 2606
 
18.6%
Dash Punctuation 581
 
4.1%
Close Punctuation 57
 
0.4%
Open Punctuation 56
 
0.4%
Other Punctuation 10
 
0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 717
 
8.9%
지 665
 
8.2%
광 602
 
7.5%
동 596
 
7.4%
진 592
 
7.3%
서 591
 
7.3%
특 591
 
7.3%
별 591
 
7.3%
시 591
 
7.3%
울 591
 
7.3%
Other values (46) 1945
24.1%
Decimal Number
ValueCountFrequency (%)
1 555
21.2%
2 482
18.4%
5 262
10.0%
3 258
9.8%
4 248
9.5%
6 196
 
7.5%
9 183
 
7.0%
7 165
 
6.3%
0 138
 
5.3%
8 137
 
5.2%
Close Punctuation
ValueCountFrequency (%)
) 56
98.2%
] 1
 
1.8%
Space Separator
ValueCountFrequency (%)
2606
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 581
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8072
57.6%
Common 5934
42.4%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 717
 
8.9%
지 665
 
8.2%
광 602
 
7.5%
동 596
 
7.4%
진 592
 
7.3%
서 591
 
7.3%
특 591
 
7.3%
별 591
 
7.3%
시 591
 
7.3%
울 591
 
7.3%
Other values (46) 1945
24.1%
Common
ValueCountFrequency (%)
2606
43.9%
- 581
 
9.8%
1 555
 
9.4%
2 482
 
8.1%
5 262
 
4.4%
3 258
 
4.3%
4 248
 
4.2%
6 196
 
3.3%
9 183
 
3.1%
7 165
 
2.8%
Other values (6) 398
 
6.7%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8072
57.6%
ASCII 5936
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2606
43.9%
- 581
 
9.8%
1 555
 
9.3%
2 482
 
8.1%
5 262
 
4.4%
3 258
 
4.3%
4 248
 
4.2%
6 196
 
3.3%
9 183
 
3.1%
7 165
 
2.8%
Other values (7) 400
 
6.7%
Hangul
ValueCountFrequency (%)
구 717
 
8.9%
지 665
 
8.2%
광 602
 
7.5%
동 596
 
7.4%
진 592
 
7.3%
서 591
 
7.3%
특 591
 
7.3%
별 591
 
7.3%
시 591
 
7.3%
울 591
 
7.3%
Other values (46) 1945
24.1%

도로명주소
Text

MISSING 

Distinct559
Distinct (%)98.8%
Missing25
Missing (%)4.2%
Memory size4.7 KiB
2024-05-11T03:51:44.239845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length27.459364
Min length21

Characters and Unicode

Total characters15542
Distinct characters107
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique553 ?
Unique (%)97.7%

Sample

1st row서울특별시 광진구 능동로 183 (화양동,4층)
2nd row서울특별시 광진구 아차산로 370 (자양동,지층)
3rd row서울특별시 광진구 뚝섬로 514 (자양동)
4th row서울특별시 광진구 아차산로 241 (화양동,2층)
5th row서울특별시 광진구 구의로 10-1 (구의동,지층)
ValueCountFrequency (%)
서울특별시 566
19.4%
광진구 566
19.4%
화양동 96
 
3.3%
자양동 74
 
2.5%
구의동 57
 
1.9%
중곡동 46
 
1.6%
동일로22길 43
 
1.5%
능동로 39
 
1.3%
뚝섬로 35
 
1.2%
아차산로 33
 
1.1%
Other values (442) 1370
46.8%
2024-05-11T03:51:45.533877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2579
 
16.6%
동 731
 
4.7%
구 709
 
4.6%
( 615
 
4.0%
) 615
 
4.0%
광 612
 
3.9%
진 568
 
3.7%
서 566
 
3.6%
울 566
 
3.6%
로 566
 
3.6%
Other values (97) 7415
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9254
59.5%
Space Separator 2579
 
16.6%
Decimal Number 2087
 
13.4%
Close Punctuation 616
 
4.0%
Open Punctuation 615
 
4.0%
Other Punctuation 346
 
2.2%
Dash Punctuation 42
 
0.3%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 731
 
7.9%
구 709
 
7.7%
광 612
 
6.6%
진 568
 
6.1%
서 566
 
6.1%
울 566
 
6.1%
로 566
 
6.1%
시 566
 
6.1%
별 566
 
6.1%
특 566
 
6.1%
Other values (80) 3238
35.0%
Decimal Number
ValueCountFrequency (%)
1 492
23.6%
2 357
17.1%
3 249
11.9%
5 181
 
8.7%
4 164
 
7.9%
8 152
 
7.3%
6 145
 
6.9%
7 117
 
5.6%
9 116
 
5.6%
0 114
 
5.5%
Close Punctuation
ValueCountFrequency (%)
) 615
99.8%
] 1
 
0.2%
Space Separator
ValueCountFrequency (%)
2579
100.0%
Open Punctuation
ValueCountFrequency (%)
( 615
100.0%
Other Punctuation
ValueCountFrequency (%)
, 346
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9254
59.5%
Common 6285
40.4%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 731
 
7.9%
구 709
 
7.7%
광 612
 
6.6%
진 568
 
6.1%
서 566
 
6.1%
울 566
 
6.1%
로 566
 
6.1%
시 566
 
6.1%
별 566
 
6.1%
특 566
 
6.1%
Other values (80) 3238
35.0%
Common
ValueCountFrequency (%)
2579
41.0%
( 615
 
9.8%
) 615
 
9.8%
1 492
 
7.8%
2 357
 
5.7%
, 346
 
5.5%
3 249
 
4.0%
5 181
 
2.9%
4 164
 
2.6%
8 152
 
2.4%
Other values (6) 535
 
8.5%
Latin
ValueCountFrequency (%)
B 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9254
59.5%
ASCII 6288
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2579
41.0%
( 615
 
9.8%
) 615
 
9.8%
1 492
 
7.8%
2 357
 
5.7%
, 346
 
5.5%
3 249
 
4.0%
5 181
 
2.9%
4 164
 
2.6%
8 152
 
2.4%
Other values (7) 538
 
8.6%
Hangul
ValueCountFrequency (%)
동 731
 
7.9%
구 709
 
7.7%
광 612
 
6.6%
진 568
 
6.1%
서 566
 
6.1%
울 566
 
6.1%
로 566
 
6.1%
시 566
 
6.1%
별 566
 
6.1%
특 566
 
6.1%
Other values (80) 3238
35.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)38.7%
Missing441
Missing (%)74.6%
Infinite0
Infinite (%)0.0%
Mean8721.28
Minimum4903
Maximum143915
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-05-11T03:51:45.976941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4903
5-th percentile4946.8
Q15005.5
median5018
Q35046.5
95-th percentile5100
Maximum143915
Range139012
Interquartile range (IQR)41

Descriptive statistics

Standard deviation22443.88
Coefficient of variation (CV)2.5734617
Kurtosis33.679084
Mean8721.28
Median Absolute Deviation (MAD)25
Skewness5.9354881
Sum1308192
Variance5.0372774 × 108
MonotonicityNot monotonic
2024-05-11T03:51:46.425495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5018 16
 
2.7%
5009 12
 
2.0%
5017 12
 
2.0%
5043 6
 
1.0%
4985 6
 
1.0%
5072 6
 
1.0%
4954 5
 
0.8%
5019 5
 
0.8%
5044 5
 
0.8%
5020 4
 
0.7%
Other values (48) 73
 
12.4%
(Missing) 441
74.6%
ValueCountFrequency (%)
4903 1
 
0.2%
4904 2
 
0.3%
4905 1
 
0.2%
4914 1
 
0.2%
4921 1
 
0.2%
4937 1
 
0.2%
4945 1
 
0.2%
4949 3
0.5%
4953 1
 
0.2%
4954 5
0.8%
ValueCountFrequency (%)
143915 1
 
0.2%
143868 1
 
0.2%
143841 1
 
0.2%
143830 1
 
0.2%
5119 1
 
0.2%
5116 1
 
0.2%
5100 3
0.5%
5099 2
0.3%
5085 2
0.3%
5079 2
0.3%

사업장명
Text

Distinct503
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2024-05-11T03:51:47.065893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length16
Mean length5.5042301
Min length1

Characters and Unicode

Total characters3253
Distinct characters425
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

Unique445 ?
Unique (%)75.3%

Sample

1st row팡팡노래방
2nd row스타노래방
3rd row시화노래연습장
4th row와와노래연습장
5th row2002노래연습장
ValueCountFrequency (%)
노래연습장 86
 
11.8%
코인 8
 
1.1%
짱 7
 
1.0%
팡팡 6
 
0.8%
히트 6
 
0.8%
스타 6
 
0.8%
하마 6
 
0.8%
코인노래연습장 6
 
0.8%
sbs노래연습장 5
 
0.7%
노래방 5
 
0.7%
Other values (489) 588
80.7%
2024-05-11T03:51:48.181016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
노 328
 
10.1%
래 325
 
10.0%
연 244
 
7.5%
장 244
 
7.5%
습 240
 
7.4%
138
 
4.2%
방 83
 
2.6%
스 44
 
1.4%
인 42
 
1.3%
코 41
 
1.3%
Other values (415) 1524
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2904
89.3%
Space Separator 138
 
4.2%
Uppercase Letter 106
 
3.3%
Decimal Number 46
 
1.4%
Lowercase Letter 29
 
0.9%
Other Punctuation 16
 
0.5%
Close Punctuation 6
 
0.2%
Open Punctuation 6
 
0.2%
Dash Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
노 328
 
11.3%
래 325
 
11.2%
연 244
 
8.4%
장 244
 
8.4%
습 240
 
8.3%
방 83
 
2.9%
스 44
 
1.5%
인 42
 
1.4%
코 41
 
1.4%
리 38
 
1.3%
Other values (359) 1275
43.9%
Uppercase Letter
ValueCountFrequency (%)
S 25
23.6%
B 18
17.0%
K 8
 
7.5%
M 8
 
7.5%
C 6
 
5.7%
O 6
 
5.7%
N 5
 
4.7%
F 4
 
3.8%
J 3
 
2.8%
D 3
 
2.8%
Other values (13) 20
18.9%
Lowercase Letter
ValueCountFrequency (%)
e 4
13.8%
a 4
13.8%
s 4
13.8%
n 3
10.3%
l 2
 
6.9%
g 2
 
6.9%
r 2
 
6.9%
h 1
 
3.4%
p 1
 
3.4%
t 1
 
3.4%
Other values (5) 5
17.2%
Decimal Number
ValueCountFrequency (%)
2 13
28.3%
0 10
21.7%
5 8
17.4%
6 5
 
10.9%
3 3
 
6.5%
1 3
 
6.5%
4 2
 
4.3%
7 1
 
2.2%
8 1
 
2.2%
Other Punctuation
ValueCountFrequency (%)
. 12
75.0%
? 2
 
12.5%
# 1
 
6.2%
@ 1
 
6.2%
Space Separator
ValueCountFrequency (%)
138
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2904
89.3%
Common 214
 
6.6%
Latin 135
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
노 328
 
11.3%
래 325
 
11.2%
연 244
 
8.4%
장 244
 
8.4%
습 240
 
8.3%
방 83
 
2.9%
스 44
 
1.5%
인 42
 
1.4%
코 41
 
1.4%
리 38
 
1.3%
Other values (359) 1275
43.9%
Latin
ValueCountFrequency (%)
S 25
18.5%
B 18
 
13.3%
K 8
 
5.9%
M 8
 
5.9%
C 6
 
4.4%
O 6
 
4.4%
N 5
 
3.7%
e 4
 
3.0%
a 4
 
3.0%
F 4
 
3.0%
Other values (28) 47
34.8%
Common
ValueCountFrequency (%)
138
64.5%
2 13
 
6.1%
. 12
 
5.6%
0 10
 
4.7%
5 8
 
3.7%
) 6
 
2.8%
( 6
 
2.8%
6 5
 
2.3%
3 3
 
1.4%
1 3
 
1.4%
Other values (8) 10
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2904
89.3%
ASCII 349
 
10.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
노 328
 
11.3%
래 325
 
11.2%
연 244
 
8.4%
장 244
 
8.4%
습 240
 
8.3%
방 83
 
2.9%
스 44
 
1.5%
인 42
 
1.4%
코 41
 
1.4%
리 38
 
1.3%
Other values (359) 1275
43.9%
ASCII
ValueCountFrequency (%)
138
39.5%
S 25
 
7.2%
B 18
 
5.2%
2 13
 
3.7%
. 12
 
3.4%
0 10
 
2.9%
5 8
 
2.3%
K 8
 
2.3%
M 8
 
2.3%
C 6
 
1.7%
Other values (46) 103
29.5%

최종수정일자
Date

Distinct557
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
Minimum2003-05-13 11:34:49
Maximum2024-05-02 14:27:19
2024-05-11T03:51:48.581376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:51:49.008103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
I
364 
U
227 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 364
61.6%
U 227
38.4%

Length

2024-05-11T03:51:49.259118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:51:49.436509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 364
61.6%
u 227
38.4%

데이터갱신일자
Date

Distinct178
Distinct (%)30.1%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:04:00
2024-05-11T03:51:49.638357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:51:50.208359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing591
Missing (%)100.0%
Memory size5.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct501
Distinct (%)87.1%
Missing16
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean206875.55
Minimum205347.86
Maximum209545.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-05-11T03:51:50.622617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205347.86
5-th percentile205729.27
Q1206110.13
median206957.37
Q3207467.02
95-th percentile208142.39
Maximum209545.77
Range4197.9042
Interquartile range (IQR)1356.8917

Descriptive statistics

Standard deviation836.10337
Coefficient of variation (CV)0.0040415766
Kurtosis-0.41098216
Mean206875.55
Median Absolute Deviation (MAD)754.03735
Skewness0.3289671
Sum1.1895344 × 108
Variance699068.84
MonotonicityNot monotonic
2024-05-11T03:51:51.025321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
208071.136013024 3
 
0.5%
205735.326067971 3
 
0.5%
207413.460283436 3
 
0.5%
205510.476832288 3
 
0.5%
208155.077711558 3
 
0.5%
206117.047193201 3
 
0.5%
206010.268755156 3
 
0.5%
207979.88297951 3
 
0.5%
206173.255388979 3
 
0.5%
207365.009660992 3
 
0.5%
Other values (491) 545
92.2%
(Missing) 16
 
2.7%
ValueCountFrequency (%)
205347.861121036 1
 
0.2%
205390.463339147 1
 
0.2%
205420.177282817 1
 
0.2%
205482.17562441 1
 
0.2%
205486.782982207 1
 
0.2%
205510.476832288 3
0.5%
205529.142272567 1
 
0.2%
205540.082598602 1
 
0.2%
205548.689811343 1
 
0.2%
205586.328379984 1
 
0.2%
ValueCountFrequency (%)
209545.765272486 1
0.2%
209526.931191994 1
0.2%
209435.874794321 2
0.3%
209430.697127087 1
0.2%
209381.307981004 1
0.2%
209298.027226523 1
0.2%
209118.502283007 1
0.2%
208950.91165115 1
0.2%
208558.286631653 2
0.3%
208454.462790427 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct501
Distinct (%)87.1%
Missing16
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean449275.7
Minimum447452.65
Maximum452106.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-05-11T03:51:51.412819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447452.65
5-th percentile447834.9
Q1448460.55
median448845.69
Q3450218.22
95-th percentile451356.85
Maximum452106.82
Range4654.1685
Interquartile range (IQR)1757.6694

Descriptive statistics

Standard deviation1111.5763
Coefficient of variation (CV)0.0024741517
Kurtosis-0.3873959
Mean449275.7
Median Absolute Deviation (MAD)607.0679
Skewness0.766869
Sum2.5833353 × 108
Variance1235601.8
MonotonicityNot monotonic
2024-05-11T03:51:51.726059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448101.266571704 3
 
0.5%
448568.291933731 3
 
0.5%
448398.402229912 3
 
0.5%
448246.598294724 3
 
0.5%
448549.66660547 3
 
0.5%
448742.653011903 3
 
0.5%
449527.161783138 3
 
0.5%
449841.076765545 3
 
0.5%
449477.820728357 3
 
0.5%
448238.625106956 3
 
0.5%
Other values (491) 545
92.2%
(Missing) 16
 
2.7%
ValueCountFrequency (%)
447452.653781347 1
0.2%
447517.95004762 1
0.2%
447616.205224213 1
0.2%
447649.840581822 2
0.3%
447689.318105309 1
0.2%
447698.605234605 1
0.2%
447700.642403113 1
0.2%
447718.681515245 2
0.3%
447721.059102855 1
0.2%
447722.456352168 1
0.2%
ValueCountFrequency (%)
452106.822321412 1
0.2%
452106.544784594 1
0.2%
452093.521893286 2
0.3%
452070.118445356 1
0.2%
452055.161324433 1
0.2%
452034.609259255 1
0.2%
452034.440353727 1
0.2%
452005.991981904 1
0.2%
452005.004881333 1
0.2%
451951.606434503 1
0.2%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
노래연습장업
515 
<NA>
76 

Length

Max length6
Median length6
Mean length5.7428088
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노래연습장업 515
87.1%
<NA> 76
 
12.9%

Length

2024-05-11T03:51:51.983699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:51:52.318971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노래연습장업 515
87.1%
na 76
 
12.9%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
유통관련업
515 
<NA>
76 

Length

Max length5
Median length5
Mean length4.8714044
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 515
87.1%
<NA> 76
 
12.9%

Length

2024-05-11T03:51:52.664721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:51:52.966317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 515
87.1%
na 76
 
12.9%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)5.5%
Missing373
Missing (%)63.1%
Infinite0
Infinite (%)0.0%
Mean4.0642202
Minimum0
Maximum54
Zeros46
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-05-11T03:51:53.298727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median4
Q35
95-th percentile7
Maximum54
Range54
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.1421187
Coefficient of variation (CV)1.0191669
Kurtosis97.350406
Mean4.0642202
Median Absolute Deviation (MAD)1
Skewness8.0445219
Sum886
Variance17.157147
MonotonicityNot monotonic
2024-05-11T03:51:53.682459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
5 57
 
9.6%
4 48
 
8.1%
0 46
 
7.8%
6 30
 
5.1%
3 16
 
2.7%
7 6
 
1.0%
2 6
 
1.0%
9 4
 
0.7%
8 2
 
0.3%
10 1
 
0.2%
Other values (2) 2
 
0.3%
(Missing) 373
63.1%
ValueCountFrequency (%)
0 46
7.8%
2 6
 
1.0%
3 16
 
2.7%
4 48
8.1%
5 57
9.6%
6 30
5.1%
7 6
 
1.0%
8 2
 
0.3%
9 4
 
0.7%
10 1
 
0.2%
ValueCountFrequency (%)
54 1
 
0.2%
11 1
 
0.2%
10 1
 
0.2%
9 4
 
0.7%
8 2
 
0.3%
7 6
 
1.0%
6 30
5.1%
5 57
9.6%
4 48
8.1%
3 16
 
2.7%

주변환경명
Categorical

Distinct6
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
<NA>
433 
주택가주변
76 
기타
 
39
유흥업소밀집지역
 
33
학교정화(상대)
 
9

Length

Max length8
Median length4
Mean length4.285956
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 433
73.3%
주택가주변 76
 
12.9%
기타 39
 
6.6%
유흥업소밀집지역 33
 
5.6%
학교정화(상대) 9
 
1.5%
결혼예식장주변 1
 
0.2%

Length

2024-05-11T03:51:54.172526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:51:54.493719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 433
73.3%
주택가주변 76
 
12.9%
기타 39
 
6.6%
유흥업소밀집지역 33
 
5.6%
학교정화(상대 9
 
1.5%
결혼예식장주변 1
 
0.2%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing591
Missing (%)100.0%
Memory size5.3 KiB

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct291
Distinct (%)77.4%
Missing215
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean123.88713
Minimum0
Maximum592.65
Zeros43
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-05-11T03:51:54.872714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q189.58
median116.995
Q3149.3
95-th percentile255.86
Maximum592.65
Range592.65
Interquartile range (IQR)59.72

Descriptive statistics

Standard deviation75.469229
Coefficient of variation (CV)0.60917733
Kurtosis5.3706009
Mean123.88713
Median Absolute Deviation (MAD)30.605
Skewness1.230772
Sum46581.56
Variance5695.6046
MonotonicityNot monotonic
2024-05-11T03:51:55.352295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 43
 
7.3%
99.0 6
 
1.0%
132.0 4
 
0.7%
115.0 3
 
0.5%
201.98 3
 
0.5%
140.0 3
 
0.5%
141.0 3
 
0.5%
255.87 3
 
0.5%
149.19 2
 
0.3%
139.8 2
 
0.3%
Other values (281) 304
51.4%
(Missing) 215
36.4%
ValueCountFrequency (%)
0.0 43
7.3%
33.0 1
 
0.2%
48.12 1
 
0.2%
54.0 1
 
0.2%
55.21 1
 
0.2%
56.12 1
 
0.2%
62.0 1
 
0.2%
62.01 1
 
0.2%
63.0 1
 
0.2%
63.2 1
 
0.2%
ValueCountFrequency (%)
592.65 1
0.2%
496.39 1
0.2%
389.82 1
0.2%
345.39 1
0.2%
324.49 1
0.2%
317.38 1
0.2%
301.8 2
0.3%
299.31 1
0.2%
296.28 1
0.2%
294.4 1
0.2%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)4.5%
Missing368
Missing (%)62.3%
Infinite0
Infinite (%)0.0%
Mean3.0538117
Minimum0
Maximum9
Zeros44
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-05-11T03:51:55.710134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile6
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.9536917
Coefficient of variation (CV)0.63975512
Kurtosis-0.25434221
Mean3.0538117
Median Absolute Deviation (MAD)1
Skewness-0.054142503
Sum681
Variance3.8169111
MonotonicityNot monotonic
2024-05-11T03:51:56.437207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
4 63
 
10.7%
0 44
 
7.4%
3 42
 
7.1%
5 29
 
4.9%
2 26
 
4.4%
6 8
 
1.4%
1 4
 
0.7%
7 3
 
0.5%
8 3
 
0.5%
9 1
 
0.2%
(Missing) 368
62.3%
ValueCountFrequency (%)
0 44
7.4%
1 4
 
0.7%
2 26
4.4%
3 42
7.1%
4 63
10.7%
5 29
4.9%
6 8
 
1.4%
7 3
 
0.5%
8 3
 
0.5%
9 1
 
0.2%
ValueCountFrequency (%)
9 1
 
0.2%
8 3
 
0.5%
7 3
 
0.5%
6 8
 
1.4%
5 29
4.9%
4 63
10.7%
3 42
7.1%
2 26
4.4%
1 4
 
0.7%
0 44
7.4%

지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
<NA>
374 
1
167 
0
45 
3
 
2
4
 
2

Length

Max length4
Median length4
Mean length2.8984772
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row0
2nd row<NA>
3rd row1
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 374
63.3%
1 167
28.3%
0 45
 
7.6%
3 2
 
0.3%
4 2
 
0.3%
7 1
 
0.2%

Length

2024-05-11T03:51:56.860353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:51:57.186589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 374
63.3%
1 167
28.3%
0 45
 
7.6%
3 2
 
0.3%
4 2
 
0.3%
7 1
 
0.2%

건물용도명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
<NA>
408 
근린생활시설
181 
위험물저장시설
 
1
단독주택
 
1

Length

Max length7
Median length4
Mean length4.6175973
Min length4

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 408
69.0%
근린생활시설 181
30.6%
위험물저장시설 1
 
0.2%
단독주택 1
 
0.2%

Length

2024-05-11T03:51:57.542446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:51:57.803360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 408
69.0%
근린생활시설 181
30.6%
위험물저장시설 1
 
0.2%
단독주택 1
 
0.2%

통로너비
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)15.4%
Missing429
Missing (%)72.6%
Infinite0
Infinite (%)0.0%
Mean3.3537654
Minimum0
Maximum130
Zeros26
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-05-11T03:51:58.117498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.0725
median1.3
Q31.8
95-th percentile2
Maximum130
Range130
Interquartile range (IQR)0.7275

Descriptive statistics

Standard deviation15.466435
Coefficient of variation (CV)4.6116627
Kurtosis52.529758
Mean3.3537654
Median Absolute Deviation (MAD)0.5
Skewness7.2964528
Sum543.31
Variance239.2106
MonotonicityNot monotonic
2024-05-11T03:51:58.531449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1.8 45
 
7.6%
0.0 26
 
4.4%
1.2 17
 
2.9%
1.0 13
 
2.2%
1.3 11
 
1.9%
2.0 11
 
1.9%
1.5 10
 
1.7%
1.1 5
 
0.8%
1.25 4
 
0.7%
1.6 3
 
0.5%
Other values (15) 17
 
2.9%
(Missing) 429
72.6%
ValueCountFrequency (%)
0.0 26
4.4%
1.0 13
2.2%
1.05 1
 
0.2%
1.07 1
 
0.2%
1.08 1
 
0.2%
1.1 5
 
0.8%
1.12 1
 
0.2%
1.15 1
 
0.2%
1.18 1
 
0.2%
1.2 17
2.9%
ValueCountFrequency (%)
130.0 1
 
0.2%
110.0 1
 
0.2%
105.0 1
 
0.2%
2.0 11
 
1.9%
1.8 45
7.6%
1.6 3
 
0.5%
1.58 1
 
0.2%
1.5 10
 
1.7%
1.4 2
 
0.3%
1.3 11
 
1.9%

조명시설조도
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)3.8%
Missing432
Missing (%)73.1%
Infinite0
Infinite (%)0.0%
Mean35.251572
Minimum0
Maximum50
Zeros27
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-05-11T03:51:58.891059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q140
median40
Q345
95-th percentile45
Maximum50
Range50
Interquartile range (IQR)5

Descriptive statistics

Standard deviation16.234035
Coefficient of variation (CV)0.46051947
Kurtosis0.96109332
Mean35.251572
Median Absolute Deviation (MAD)5
Skewness-1.6591161
Sum5605
Variance263.54391
MonotonicityNot monotonic
2024-05-11T03:51:59.257302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
40 66
 
11.2%
45 60
 
10.2%
0 27
 
4.6%
50 4
 
0.7%
35 1
 
0.2%
30 1
 
0.2%
(Missing) 432
73.1%
ValueCountFrequency (%)
0 27
4.6%
30 1
 
0.2%
35 1
 
0.2%
40 66
11.2%
45 60
10.2%
50 4
 
0.7%
ValueCountFrequency (%)
50 4
 
0.7%
45 60
10.2%
40 66
11.2%
35 1
 
0.2%
30 1
 
0.2%
0 27
4.6%

노래방실수
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)6.7%
Missing186
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean7.708642
Minimum1
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-05-11T03:51:59.620322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q15
median6
Q38
95-th percentile18
Maximum29
Range28
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.2559277
Coefficient of variation (CV)0.55209824
Kurtosis5.6615821
Mean7.708642
Median Absolute Deviation (MAD)1
Skewness2.2256001
Sum3122
Variance18.11292
MonotonicityNot monotonic
2024-05-11T03:52:00.013736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
6 91
15.4%
5 66
 
11.2%
7 63
 
10.7%
8 45
 
7.6%
4 38
 
6.4%
9 21
 
3.6%
10 17
 
2.9%
11 7
 
1.2%
14 6
 
1.0%
19 6
 
1.0%
Other values (17) 45
 
7.6%
(Missing) 186
31.5%
ValueCountFrequency (%)
1 4
 
0.7%
2 2
 
0.3%
3 3
 
0.5%
4 38
6.4%
5 66
11.2%
6 91
15.4%
7 63
10.7%
8 45
7.6%
9 21
 
3.6%
10 17
 
2.9%
ValueCountFrequency (%)
29 1
 
0.2%
27 1
 
0.2%
26 1
 
0.2%
25 1
 
0.2%
24 2
 
0.3%
22 2
 
0.3%
21 3
0.5%
20 2
 
0.3%
19 6
1.0%
18 4
0.7%

청소년실수
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)5.8%
Missing261
Missing (%)44.2%
Infinite0
Infinite (%)0.0%
Mean2.9363636
Minimum0
Maximum25
Zeros12
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-05-11T03:52:00.559448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile6.55
Maximum25
Range25
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.9769447
Coefficient of variation (CV)1.0138202
Kurtosis20.450774
Mean2.9363636
Median Absolute Deviation (MAD)1
Skewness3.897655
Sum969
Variance8.8621995
MonotonicityNot monotonic
2024-05-11T03:52:00.961193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2 113
19.1%
1 75
 
12.7%
3 52
 
8.8%
5 26
 
4.4%
4 24
 
4.1%
0 12
 
2.0%
6 11
 
1.9%
8 4
 
0.7%
10 2
 
0.3%
15 2
 
0.3%
Other values (9) 9
 
1.5%
(Missing) 261
44.2%
ValueCountFrequency (%)
0 12
 
2.0%
1 75
12.7%
2 113
19.1%
3 52
8.8%
4 24
 
4.1%
5 26
 
4.4%
6 11
 
1.9%
7 1
 
0.2%
8 4
 
0.7%
9 1
 
0.2%
ValueCountFrequency (%)
25 1
0.2%
22 1
0.2%
21 1
0.2%
17 1
0.2%
15 2
0.3%
14 1
0.2%
12 1
0.2%
11 1
0.2%
10 2
0.3%
9 1
0.2%

비상계단여부
Boolean

MISSING 

Distinct2
Distinct (%)0.5%
Missing185
Missing (%)31.3%
Memory size1.3 KiB
False
248 
True
158 
(Missing)
185 
ValueCountFrequency (%)
False 248
42.0%
True 158
26.7%
(Missing) 185
31.3%
2024-05-11T03:52:01.329324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

비상구여부
Boolean

MISSING 

Distinct2
Distinct (%)0.5%
Missing184
Missing (%)31.1%
Memory size1.3 KiB
False
243 
True
164 
(Missing)
184 
ValueCountFrequency (%)
False 243
41.1%
True 164
27.7%
(Missing) 184
31.1%
2024-05-11T03:52:01.732628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

자동환기여부
Boolean

MISSING 

Distinct2
Distinct (%)0.5%
Missing192
Missing (%)32.5%
Memory size1.3 KiB
False
244 
True
155 
(Missing)
192 
ValueCountFrequency (%)
False 244
41.3%
True 155
26.2%
(Missing) 192
32.5%
2024-05-11T03:52:02.058034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

청소년실여부
Boolean

MISSING 

Distinct2
Distinct (%)0.5%
Missing178
Missing (%)30.1%
Memory size1.3 KiB
True
337 
False
76 
(Missing)
178 
ValueCountFrequency (%)
True 337
57.0%
False 76
 
12.9%
(Missing) 178
30.1%
2024-05-11T03:52:02.350445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

특수조명여부
Boolean

MISSING 

Distinct2
Distinct (%)0.5%
Missing202
Missing (%)34.2%
Memory size1.3 KiB
False
242 
True
147 
(Missing)
202 
ValueCountFrequency (%)
False 242
40.9%
True 147
24.9%
(Missing) 202
34.2%
2024-05-11T03:52:02.685456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

방음시설여부
Boolean

MISSING 

Distinct2
Distinct (%)0.5%
Missing186
Missing (%)31.5%
Memory size1.3 KiB
False
245 
True
160 
(Missing)
186 
ValueCountFrequency (%)
False 245
41.5%
True 160
27.1%
(Missing) 186
31.5%
2024-05-11T03:52:03.001569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing591
Missing (%)100.0%
Memory size5.3 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing591
Missing (%)100.0%
Memory size5.3 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing591
Missing (%)100.0%
Memory size5.3 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing591
Missing (%)100.0%
Memory size5.3 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing591
Missing (%)100.0%
Memory size5.3 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
<NA>
556 
0
 
35

Length

Max length4
Median length4
Mean length3.822335
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 556
94.1%
0 35
 
5.9%

Length

2024-05-11T03:52:03.367831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:52:03.695963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 556
94.1%
0 35
 
5.9%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing591
Missing (%)100.0%
Memory size5.3 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing591
Missing (%)100.0%
Memory size5.3 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing591
Missing (%)100.0%
Memory size5.3 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing591
Missing (%)100.0%
Memory size5.3 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing591
Missing (%)100.0%
Memory size5.3 KiB

지역구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
<NA>
490 
일반주거지역
 
49
주거지역
 
37
근린상업지역
 
6
준주거지역
 
5
Other values (2)
 
4

Length

Max length6
Median length4
Mean length4.2047377
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 490
82.9%
일반주거지역 49
 
8.3%
주거지역 37
 
6.3%
근린상업지역 6
 
1.0%
준주거지역 5
 
0.8%
일반상업지역 3
 
0.5%
상업지역 1
 
0.2%

Length

2024-05-11T03:52:04.095707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:52:04.515516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 490
82.9%
일반주거지역 49
 
8.3%
주거지역 37
 
6.3%
근린상업지역 6
 
1.0%
준주거지역 5
 
0.8%
일반상업지역 3
 
0.5%
상업지역 1
 
0.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03040000CDFF324205199200000119920708<NA>3폐업3폐업20011024<NA><NA><NA><NA><NA>143915서울특별시 광진구 화양동 119-5번지<NA><NA>팡팡노래방2003-05-13 11:34:49I2018-08-31 23:59:59.0<NA>206173.255389449477.820728노래연습장업유통관련업0<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>
13040000CDFF324205199200000219920709<NA>3폐업3폐업20100805<NA><NA><NA>466-6906,<NA>143915서울특별시 광진구 화양동 111-124번지 4층서울특별시 광진구 능동로 183 (화양동,4층)<NA>스타노래방2010-08-05 17:30:47I2018-08-31 23:59:59.0<NA>206437.707982449422.187669노래연습장업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA>85NNN<NA>NN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23040000CDFF324205199200000319920709<NA>3폐업3폐업20040621<NA><NA><NA>457-0667<NA>143846서울특별시 광진구 자양동 216-21번지 지층서울특별시 광진구 아차산로 370 (자양동,지층)<NA>시화노래연습장2004-06-21 16:37:42I2018-08-31 23:59:59.0<NA>207365.009661448238.625107노래연습장업유통관련업<NA><NA><NA><NA><NA>1<NA><NA><NA>106NNNNNN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33040000CDFF324205199200000419920709<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 553-20 지하서울특별시 광진구 뚝섬로 514 (자양동)5085와와노래연습장2022-02-04 10:33:31U2022-02-06 02:40:00.0<NA>205875.677228448139.293042노래연습장업유통관련업0<NA><NA>0.000근린생활시설0.0071NNNYNN<NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
43040000CDFF324205199200000519920710<NA>3폐업3폐업20060828<NA><NA><NA>468-8505<NA>143914서울특별시 광진구 화양동 6-2번지 2층서울특별시 광진구 아차산로 241 (화양동,2층)<NA>2002노래연습장2006-08-28 14:41:53I2018-08-31 23:59:59.0<NA>206131.315541448712.39144노래연습장업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA>145NNNNNN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53040000CDFF324205199200000619920710<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 220-218 지층서울특별시 광진구 구의로 10-1 (구의동,지층)<NA>스마일 노래연습장2022-10-27 09:23:38U2021-10-30 22:09:00.0<NA>207837.750607448526.827417<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>
63040000CDFF324205199200000719920710<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 252-79 지하1층서울특별시 광진구 아차산로51길 37 (구의동)5043블랙홀2021-05-14 17:30:12U2021-06-08 02:40:00.0<NA>207421.741366448497.020027노래연습장업유통관련업<NA><NA><NA>150.0<NA>1<NA><NA><NA>63NNNYNN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73040000CDFF324205199200000919920710200807224취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>444-3222<NA>143888서울특별시 광진구 중곡동 93-4번지서울특별시 광진구 용마산로 4 (중곡동)<NA>라이브노래연습장2008-12-11 13:14:30I2018-08-31 23:59:59.0<NA>207775.393626450200.655284노래연습장업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA>62NNNNNN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83040000CDFF324205199200001019920710<NA>3폐업3폐업20100527<NA><NA><NA>469-5060<NA>143901서울특별시 광진구 중곡동 193-52번지 2층서울특별시 광진구 면목로 132-1 (중곡동,2층)<NA>도레미2010-05-28 09:29:57I2018-08-31 23:59:59.0<NA>207087.844873451428.393141노래연습장업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA>44NNNYNN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93040000CDFF324205199200001119920710<NA>3폐업3폐업20051103<NA><NA><NA>467-3550<NA>143842서울특별시 광진구 자양동 24-5번지서울특별시 광진구 동일로18길 11 (자양동)<NA>25시노래방2005-11-04 09:06:42I2018-08-31 23:59:59.0<NA>205548.689811448653.085751노래연습장업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA>113NNNNNN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
5813040000CDFF324205201800000320180801<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 200-20번지서울특별시 광진구 아차산로 481, 지하1층 (구의동)5034렛츠코인노래연습장2018-08-01 14:28:54I2018-12-06 14:05:59.0<NA>208324.939445448746.466638노래연습장업유통관련업<NA><NA><NA>209.85<NA><NA><NA><NA><NA>18<NA><NA><NA><NA>Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5823040000CDFF324205201900000120190328<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 화양동 49-4번지서울특별시 광진구 동일로22길 32, 지하1층 (화양동)5020OK 노래연습장2019-11-29 12:43:14U2019-12-01 02:40:00.0<NA>205765.709358448864.708159노래연습장업유통관련업<NA><NA><NA>90.88<NA><NA><NA><NA><NA>4<NA><NA><NA><NA>Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5833040000CDFF324205201900000220190430<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 54-13번지서울특별시 광진구 자양로 277 (구의동)4954렛츠코인 노래연습장 아차산점2019-04-30 17:05:37I2019-05-02 02:20:36.0<NA>207979.88298449841.076766노래연습장업유통관련업<NA><NA><NA>165.02<NA><NA><NA><NA>19<NA><NA><NA><NA>Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5843040000CDFF324205201900000320190607<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 252-115번지 해민빌딩서울특별시 광진구 자양로18길 19, 해민빌딩 3층 (구의동)5043도깨비코인노래연습장2019-06-07 09:43:42I2019-06-09 02:21:07.0<NA>207413.460283448398.40223노래연습장업유통관련업<NA><NA><NA>122.9<NA><NA><NA><NA><NA>16<NA><NA><NA><NA>Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5853040000CDFF324205201900000420190926<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 화양동 5-1서울특별시 광진구 능동로 127, 지하1층 (화양동)5017프렌즈코인노래연습장 건대점2022-07-28 18:32:45U2021-12-06 21:00:00.0<NA>206242.446953448893.145881<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>
5863040000CDFF324205201900000520191010<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 37-4서울특별시 광진구 긴고랑로 79, 2층 (중곡동)4937잇츠코인노래연습장(중곡점)2020-07-29 10:49:12U2020-07-31 02:40:00.0<NA>207414.85367450995.055496노래연습장업유통관련업<NA><NA><NA>134.83<NA><NA><NA><NA><NA>13<NA><NA><NA><NA>Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5873040000CDFF324205201900000620191105<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 78-3서울특별시 광진구 영화사로 1, 2층 (중곡동)4945스위티 코인노래연습장2020-07-29 10:49:58U2020-07-31 02:40:00.0<NA>207724.594611450718.281919노래연습장업유통관련업<NA><NA><NA>145.95<NA><NA><NA><NA><NA>19<NA><NA><NA><NA>Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5883040000CDFF324205201900000720191125<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 609-22번지 신전빌딩서울특별시 광진구 뚝섬로 605, 신전빌딩 지하1층 (자양동)5063렛츠코인 노래연습장 자양점2019-11-25 14:47:24I2019-11-29 00:23:27.0<NA>206743.316014447861.18752노래연습장업유통관련업<NA><NA><NA>177.6<NA><NA><NA><NA><NA>21<NA><NA><NA><NA>Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5893040000CDFF324205202000000120200727<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 252-119 현덕빌딩서울특별시 광진구 아차산로51길 23, 현덕빌딩 지하층 (구의동)5043365노래연습장2022-08-22 11:06:36U2021-12-07 22:04:00.0<NA>207431.173803448425.339727<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>
5903040000CDFF32420520230000012023-09-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 군자동 471-1서울특별시 광진구 능동로35길 41, 지하층 (군자동)4996Sing 노래연습장2024-03-18 14:04:15U2023-12-02 22:00:00.0<NA>206715.163963450559.947859<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>