Overview

Dataset statistics

Number of variables56
Number of observations4530
Missing cells125515
Missing cells (%)49.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 MiB
Average record size in memory482.0 B

Variable types

Numeric11
Text8
DateTime4
Categorical14
Unsupported19

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
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16017/S/1/datasetView.do

Alerts

데이터갱신구분 is highly imbalanced (75.2%)Imbalance
문화체육업종명 is highly imbalanced (73.2%)Imbalance
문화사업자구분명 is highly imbalanced (73.2%)Imbalance
주변환경명 is highly imbalanced (69.5%)Imbalance
건물용도명 is highly imbalanced (75.6%)Imbalance
제공게임물명 is highly imbalanced (85.5%)Imbalance
지역구분명 is highly imbalanced (89.3%)Imbalance
인허가취소일자 has 4522 (99.8%) missing valuesMissing
폐업일자 has 1800 (39.7%) missing valuesMissing
휴업시작일자 has 4530 (100.0%) missing valuesMissing
휴업종료일자 has 4530 (100.0%) missing valuesMissing
재개업일자 has 4530 (100.0%) missing valuesMissing
전화번호 has 2089 (46.1%) missing valuesMissing
소재지면적 has 4530 (100.0%) missing valuesMissing
소재지우편번호 has 1116 (24.6%) missing valuesMissing
도로명주소 has 681 (15.0%) missing valuesMissing
도로명우편번호 has 4166 (92.0%) missing valuesMissing
업태구분명 has 4530 (100.0%) missing valuesMissing
좌표정보(X) has 490 (10.8%) missing valuesMissing
좌표정보(Y) has 490 (10.8%) missing valuesMissing
총층수 has 2469 (54.5%) missing valuesMissing
제작취급품목내용 has 4261 (94.1%) missing valuesMissing
시설면적 has 245 (5.4%) missing valuesMissing
지상층수 has 2439 (53.8%) missing valuesMissing
지하층수 has 2485 (54.9%) missing valuesMissing
조명시설조도 has 3891 (85.9%) missing valuesMissing
비상계단여부 has 4530 (100.0%) missing valuesMissing
비상구여부 has 4530 (100.0%) missing valuesMissing
자동환기여부 has 4530 (100.0%) missing valuesMissing
청소년실여부 has 4530 (100.0%) missing valuesMissing
특수조명여부 has 4530 (100.0%) missing valuesMissing
방음시설여부 has 4530 (100.0%) missing valuesMissing
비디오재생기명 has 4530 (100.0%) missing valuesMissing
조명시설유무 has 4530 (100.0%) missing valuesMissing
음향시설여부 has 4530 (100.0%) missing valuesMissing
편의시설여부 has 4530 (100.0%) missing valuesMissing
소방시설여부 has 4530 (100.0%) missing valuesMissing
총게임기수 has 3844 (84.9%) missing valuesMissing
기존게임업외업종명 has 4456 (98.4%) missing valuesMissing
공연장형태구분명 has 4530 (100.0%) missing valuesMissing
품목명 has 4530 (100.0%) missing valuesMissing
최초등록시점 has 4530 (100.0%) missing valuesMissing
시설면적 is highly skewed (γ1 = 29.97373548)Skewed
지상층수 is highly skewed (γ1 = 28.03299741)Skewed
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
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 1705 (37.6%) zerosZeros
시설면적 has 3711 (81.9%) zerosZeros
지상층수 has 1683 (37.2%) zerosZeros
지하층수 has 1730 (38.2%) zerosZeros
조명시설조도 has 624 (13.8%) zerosZeros
총게임기수 has 608 (13.4%) zerosZeros

Reproduction

Analysis started2024-05-11 02:50:24.805632
Analysis finished2024-05-11 02:50:28.160810
Duration3.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct25
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3090117
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size39.9 KiB
2024-05-11T02:50:28.341054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3010000
Q13060000
median3070000
Q33150000
95-th percentile3180000
Maximum3240000
Range240000
Interquartile range (IQR)90000

Descriptive statistics

Standard deviation56770.832
Coefficient of variation (CV)0.018371742
Kurtosis-0.67117748
Mean3090117
Median Absolute Deviation (MAD)60000
Skewness0.44795463
Sum1.399823 × 1010
Variance3.2229274 × 109
MonotonicityNot monotonic
2024-05-11T02:50:28.701581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3060000 925
20.4%
3150000 857
18.9%
3070000 848
18.7%
3010000 595
13.1%
3140000 525
11.6%
3040000 363
 
8.0%
3230000 67
 
1.5%
3200000 61
 
1.3%
3220000 42
 
0.9%
3100000 25
 
0.6%
Other values (15) 222
 
4.9%
ValueCountFrequency (%)
3000000 13
 
0.3%
3010000 595
13.1%
3020000 2
 
< 0.1%
3030000 2
 
< 0.1%
3040000 363
 
8.0%
3050000 15
 
0.3%
3060000 925
20.4%
3070000 848
18.7%
3080000 19
 
0.4%
3090000 5
 
0.1%
ValueCountFrequency (%)
3240000 24
 
0.5%
3230000 67
 
1.5%
3220000 42
 
0.9%
3210000 19
 
0.4%
3200000 61
 
1.3%
3190000 12
 
0.3%
3180000 22
 
0.5%
3170000 19
 
0.4%
3160000 23
 
0.5%
3150000 857
18.9%
Distinct1341
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
2024-05-11T02:50:29.109716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters90600
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

Unique367 ?
Unique (%)8.1%

Sample

1st rowCDFF2241032023000002
2nd rowCDFF2241032012000002
3rd rowCDFF2241032023000001
4th rowCDFF2241032023000001
5th rowCDFF2241032015000001
ValueCountFrequency (%)
cdff2241032017000001 23
 
0.5%
cdff2241032018000001 21
 
0.5%
cdff2241032010000001 17
 
0.4%
cdff2241032009000001 17
 
0.4%
cdff2241032011000001 16
 
0.4%
cdff2241032016000001 16
 
0.4%
cdff2241032013000001 15
 
0.3%
cdff2241032017000002 13
 
0.3%
cdff2241032003000001 13
 
0.3%
cdff2241032019000001 13
 
0.3%
Other values (1331) 4366
96.4%
2024-05-11T02:50:29.833025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 27249
30.1%
2 12153
13.4%
1 10285
 
11.4%
F 9060
 
10.0%
9 7017
 
7.7%
3 5764
 
6.4%
4 5588
 
6.2%
C 4530
 
5.0%
D 4530
 
5.0%
8 1354
 
1.5%
Other values (3) 3070
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 72480
80.0%
Uppercase Letter 18120
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27249
37.6%
2 12153
16.8%
1 10285
 
14.2%
9 7017
 
9.7%
3 5764
 
8.0%
4 5588
 
7.7%
8 1354
 
1.9%
6 1064
 
1.5%
7 1051
 
1.5%
5 955
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
F 9060
50.0%
C 4530
25.0%
D 4530
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 72480
80.0%
Latin 18120
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 27249
37.6%
2 12153
16.8%
1 10285
 
14.2%
9 7017
 
9.7%
3 5764
 
8.0%
4 5588
 
7.7%
8 1354
 
1.9%
6 1064
 
1.5%
7 1051
 
1.5%
5 955
 
1.3%
Latin
ValueCountFrequency (%)
F 9060
50.0%
C 4530
25.0%
D 4530
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 90600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 27249
30.1%
2 12153
13.4%
1 10285
 
11.4%
F 9060
 
10.0%
9 7017
 
7.7%
3 5764
 
6.4%
4 5588
 
6.2%
C 4530
 
5.0%
D 4530
 
5.0%
8 1354
 
1.5%
Other values (3) 3070
 
3.4%
Distinct2431
Distinct (%)53.7%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
Minimum1904-06-20 00:00:00
Maximum2024-05-08 00:00:00
2024-05-11T02:50:30.202739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:50:30.639488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing4522
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean20114350
Minimum20071005
Maximum20151104
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size39.9 KiB
2024-05-11T02:50:30.875227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20071005
5-th percentile20081197
Q120107610
median20110558
Q320130546
95-th percentile20144042
Maximum20151104
Range80099
Interquartile range (IQR)22935.75

Descriptive statistics

Standard deviation23940.879
Coefficient of variation (CV)0.0011902388
Kurtosis0.88028021
Mean20114350
Median Absolute Deviation (MAD)15147
Skewness-0.36301088
Sum1.609148 × 108
Variance5.7316569 × 108
MonotonicityNot monotonic
2024-05-11T02:50:31.131749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20130926 1
 
< 0.1%
20111010 1
 
< 0.1%
20100125 1
 
< 0.1%
20130419 1
 
< 0.1%
20151104 1
 
< 0.1%
20071005 1
 
< 0.1%
20110105 1
 
< 0.1%
20110106 1
 
< 0.1%
(Missing) 4522
99.8%
ValueCountFrequency (%)
20071005 1
< 0.1%
20100125 1
< 0.1%
20110105 1
< 0.1%
20110106 1
< 0.1%
20111010 1
< 0.1%
20130419 1
< 0.1%
20130926 1
< 0.1%
20151104 1
< 0.1%
ValueCountFrequency (%)
20151104 1
< 0.1%
20130926 1
< 0.1%
20130419 1
< 0.1%
20111010 1
< 0.1%
20110106 1
< 0.1%
20110105 1
< 0.1%
20100125 1
< 0.1%
20071005 1
< 0.1%
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
3
2210 
1
1403 
4
917 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 2210
48.8%
1 1403
31.0%
4 917
20.2%

Length

2024-05-11T02:50:31.377413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:50:31.655021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2210
48.8%
1 1403
31.0%
4 917
20.2%

영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
폐업
2210 
영업/정상
1403 
취소/말소/만료/정지/중지
917 

Length

Max length14
Median length5
Mean length5.3582781
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2210
48.8%
영업/정상 1403
31.0%
취소/말소/만료/정지/중지 917
20.2%

Length

2024-05-11T02:50:31.944484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:50:32.141406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2210
48.8%
영업/정상 1403
31.0%
취소/말소/만료/정지/중지 917
20.2%
Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
03
2210 
13
1373 
35
551 
32
356 
BBBB
 
30
Other values (2)
 
10

Length

Max length4
Median length2
Mean length2.013245
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row13
2nd row13
3rd row13
4th row13
5th row03

Common Values

ValueCountFrequency (%)
03 2210
48.8%
13 1373
30.3%
35 551
 
12.2%
32 356
 
7.9%
BBBB 30
 
0.7%
31 9
 
0.2%
33 1
 
< 0.1%

Length

2024-05-11T02:50:32.355248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:50:32.713860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03 2210
48.8%
13 1373
30.3%
35 551
 
12.2%
32 356
 
7.9%
bbbb 30
 
0.7%
31 9
 
0.2%
33 1
 
< 0.1%
Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
폐업
2210 
영업중
1373 
직권말소
551 
신고취소
356 
<NA>
 
30
Other values (2)
 
10

Length

Max length4
Median length3
Mean length2.7211921
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2210
48.8%
영업중 1373
30.3%
직권말소 551
 
12.2%
신고취소 356
 
7.9%
<NA> 30
 
0.7%
등록취소 9
 
0.2%
지정취소 1
 
< 0.1%

Length

2024-05-11T02:50:33.122187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:50:33.476486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2210
48.8%
영업중 1373
30.3%
직권말소 551
 
12.2%
신고취소 356
 
7.9%
na 30
 
0.7%
등록취소 9
 
0.2%
지정취소 1
 
< 0.1%

폐업일자
Date

MISSING 

Distinct1139
Distinct (%)41.7%
Missing1800
Missing (%)39.7%
Memory size35.5 KiB
Minimum1993-06-30 00:00:00
Maximum2024-05-03 00:00:00
2024-05-11T02:50:33.878117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:50:34.356877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4530
Missing (%)100.0%
Memory size39.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4530
Missing (%)100.0%
Memory size39.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4530
Missing (%)100.0%
Memory size39.9 KiB

전화번호
Text

MISSING 

Distinct2264
Distinct (%)92.7%
Missing2089
Missing (%)46.1%
Memory size35.5 KiB
2024-05-11T02:50:34.893468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.2142565
Min length2

Characters and Unicode

Total characters20051
Distinct characters14
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

Unique2154 ?
Unique (%)88.2%

Sample

1st row070-4304-3800
2nd row926-8237
3rd row02-6205-9955
4th row34248335
5th row444-4208
ValueCountFrequency (%)
0000-0000 20
 
0.8%
661-1301 13
 
0.5%
0 12
 
0.5%
6255-9090 9
 
0.4%
0-0000 7
 
0.3%
2608-7755 7
 
0.3%
3663-0456 4
 
0.2%
434-5640 3
 
0.1%
494-3826 3
 
0.1%
902-3855 3
 
0.1%
Other values (2254) 2360
96.7%
2024-05-11T02:50:35.830882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2475
12.3%
4 2377
11.9%
6 2220
11.1%
9 2082
10.4%
3 1906
9.5%
2 1732
8.6%
0 1640
8.2%
1 1526
7.6%
5 1450
7.2%
7 1362
6.8%
Other values (4) 1281
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17571
87.6%
Dash Punctuation 2475
 
12.3%
Close Punctuation 3
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 2377
13.5%
6 2220
12.6%
9 2082
11.8%
3 1906
10.8%
2 1732
9.9%
0 1640
9.3%
1 1526
8.7%
5 1450
8.3%
7 1362
7.8%
8 1276
7.3%
Close Punctuation
ValueCountFrequency (%)
] 2
66.7%
) 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 2475
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20051
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2475
12.3%
4 2377
11.9%
6 2220
11.1%
9 2082
10.4%
3 1906
9.5%
2 1732
8.6%
0 1640
8.2%
1 1526
7.6%
5 1450
7.2%
7 1362
6.8%
Other values (4) 1281
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20051
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2475
12.3%
4 2377
11.9%
6 2220
11.1%
9 2082
10.4%
3 1906
9.5%
2 1732
8.6%
0 1640
8.2%
1 1526
7.6%
5 1450
7.2%
7 1362
6.8%
Other values (4) 1281
6.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4530
Missing (%)100.0%
Memory size39.9 KiB

소재지우편번호
Text

MISSING 

Distinct566
Distinct (%)16.6%
Missing1116
Missing (%)24.6%
Memory size35.5 KiB
2024-05-11T02:50:36.526600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0002929
Min length6

Characters and Unicode

Total characters20485
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique162 ?
Unique (%)4.7%

Sample

1st row136-075
2nd row100869
3rd row100193
4th row100011
5th row100340
ValueCountFrequency (%)
100340 72
 
2.1%
157928 57
 
1.7%
157030 48
 
1.4%
158070 45
 
1.3%
158050 42
 
1.2%
100868 31
 
0.9%
131823 29
 
0.8%
131848 29
 
0.8%
100848 27
 
0.8%
131860 27
 
0.8%
Other values (556) 3007
88.1%
2024-05-11T02:50:37.571605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 5349
26.1%
8 3670
17.9%
0 2493
12.2%
3 2158
10.5%
5 2052
 
10.0%
7 1450
 
7.1%
6 1024
 
5.0%
2 861
 
4.2%
4 789
 
3.9%
9 638
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20484
> 99.9%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5349
26.1%
8 3670
17.9%
0 2493
12.2%
3 2158
10.5%
5 2052
 
10.0%
7 1450
 
7.1%
6 1024
 
5.0%
2 861
 
4.2%
4 789
 
3.9%
9 638
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20485
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 5349
26.1%
8 3670
17.9%
0 2493
12.2%
3 2158
10.5%
5 2052
 
10.0%
7 1450
 
7.1%
6 1024
 
5.0%
2 861
 
4.2%
4 789
 
3.9%
9 638
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20485
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 5349
26.1%
8 3670
17.9%
0 2493
12.2%
3 2158
10.5%
5 2052
 
10.0%
7 1450
 
7.1%
6 1024
 
5.0%
2 861
 
4.2%
4 789
 
3.9%
9 638
 
3.1%
Distinct4039
Distinct (%)89.2%
Missing1
Missing (%)< 0.1%
Memory size35.5 KiB
2024-05-11T02:50:38.273736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length43
Mean length24.3811
Min length6

Characters and Unicode

Total characters110422
Distinct characters334
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3659 ?
Unique (%)80.8%

Sample

1st row서울특별시 서초구 서초동 1589-12 하이앤드타워
2nd row서울특별시 중랑구 묵동 239-1 3층 1,2호
3rd row서울특별시 서초구 서초동 1303-16 강남역 IPARK
4th row서울특별시 성북구 안암동5가 102-36
5th row서울특별시 관악구 신림동 517-25
ValueCountFrequency (%)
서울특별시 4527
22.5%
중랑구 924
 
4.6%
강서구 855
 
4.2%
성북구 848
 
4.2%
중구 595
 
3.0%
양천구 525
 
2.6%
화곡동 396
 
2.0%
면목동 395
 
2.0%
광진구 363
 
1.8%
신정동 185
 
0.9%
Other values (4789) 10539
52.3%
2024-05-11T02:50:39.302638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19715
17.9%
5457
 
4.9%
4882
 
4.4%
1 4804
 
4.4%
4698
 
4.3%
4624
 
4.2%
4556
 
4.1%
4537
 
4.1%
4527
 
4.1%
4527
 
4.1%
Other values (324) 48095
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63735
57.7%
Decimal Number 22481
 
20.4%
Space Separator 19715
 
17.9%
Dash Punctuation 4112
 
3.7%
Uppercase Letter 206
 
0.2%
Close Punctuation 47
 
< 0.1%
Other Punctuation 47
 
< 0.1%
Open Punctuation 45
 
< 0.1%
Lowercase Letter 28
 
< 0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5457
 
8.6%
4882
 
7.7%
4698
 
7.4%
4624
 
7.3%
4556
 
7.1%
4537
 
7.1%
4527
 
7.1%
4527
 
7.1%
4226
 
6.6%
1750
 
2.7%
Other values (281) 19951
31.3%
Uppercase Letter
ValueCountFrequency (%)
A 73
35.4%
B 50
24.3%
D 25
 
12.1%
C 24
 
11.7%
T 8
 
3.9%
K 5
 
2.4%
M 4
 
1.9%
F 4
 
1.9%
P 3
 
1.5%
L 2
 
1.0%
Other values (7) 8
 
3.9%
Decimal Number
ValueCountFrequency (%)
1 4804
21.4%
2 3062
13.6%
3 2377
10.6%
0 2108
9.4%
4 2035
9.1%
5 1938
8.6%
6 1896
 
8.4%
7 1594
 
7.1%
9 1335
 
5.9%
8 1332
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
b 13
46.4%
a 7
25.0%
c 4
 
14.3%
r 1
 
3.6%
e 1
 
3.6%
w 1
 
3.6%
o 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 32
68.1%
. 8
 
17.0%
/ 7
 
14.9%
Space Separator
ValueCountFrequency (%)
19715
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4112
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63735
57.7%
Common 46453
42.1%
Latin 234
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5457
 
8.6%
4882
 
7.7%
4698
 
7.4%
4624
 
7.3%
4556
 
7.1%
4537
 
7.1%
4527
 
7.1%
4527
 
7.1%
4226
 
6.6%
1750
 
2.7%
Other values (281) 19951
31.3%
Latin
ValueCountFrequency (%)
A 73
31.2%
B 50
21.4%
D 25
 
10.7%
C 24
 
10.3%
b 13
 
5.6%
T 8
 
3.4%
a 7
 
3.0%
K 5
 
2.1%
M 4
 
1.7%
c 4
 
1.7%
Other values (14) 21
 
9.0%
Common
ValueCountFrequency (%)
19715
42.4%
1 4804
 
10.3%
- 4112
 
8.9%
2 3062
 
6.6%
3 2377
 
5.1%
0 2108
 
4.5%
4 2035
 
4.4%
5 1938
 
4.2%
6 1896
 
4.1%
7 1594
 
3.4%
Other values (9) 2812
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63735
57.7%
ASCII 46687
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19715
42.2%
1 4804
 
10.3%
- 4112
 
8.8%
2 3062
 
6.6%
3 2377
 
5.1%
0 2108
 
4.5%
4 2035
 
4.4%
5 1938
 
4.2%
6 1896
 
4.1%
7 1594
 
3.4%
Other values (33) 3046
 
6.5%
Hangul
ValueCountFrequency (%)
5457
 
8.6%
4882
 
7.7%
4698
 
7.4%
4624
 
7.3%
4556
 
7.1%
4537
 
7.1%
4527
 
7.1%
4527
 
7.1%
4226
 
6.6%
1750
 
2.7%
Other values (281) 19951
31.3%

도로명주소
Text

MISSING 

Distinct3393
Distinct (%)88.2%
Missing681
Missing (%)15.0%
Memory size35.5 KiB
2024-05-11T02:50:40.009726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length51
Mean length27.885165
Min length21

Characters and Unicode

Total characters107330
Distinct characters387
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3035 ?
Unique (%)78.9%

Sample

1st row서울특별시 서초구 반포대로14길 42, 하이앤드타워 지하1층 101호 (서초동)
2nd row서울특별시 중랑구 동일로 911, 1,2호 (묵동)
3rd row서울특별시 서초구 서초대로77길 62, 강남역 IPARK 지하2층 (서초동)
4th row서울특별시 성북구 고려대로24길 44 (안암동5가)
5th row서울특별시 관악구 난곡로78길 20, 2,3층 (신림동)
ValueCountFrequency (%)
서울특별시 3849
 
19.0%
중랑구 841
 
4.2%
강서구 733
 
3.6%
성북구 652
 
3.2%
양천구 490
 
2.4%
중구 394
 
1.9%
면목동 356
 
1.8%
화곡동 344
 
1.7%
광진구 328
 
1.6%
장위동 154
 
0.8%
Other values (3203) 12102
59.8%
2024-05-11T02:50:41.136972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19506
 
18.2%
4882
 
4.5%
4700
 
4.4%
4028
 
3.8%
3970
 
3.7%
3884
 
3.6%
) 3880
 
3.6%
( 3879
 
3.6%
3862
 
3.6%
3849
 
3.6%
Other values (377) 50890
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62563
58.3%
Space Separator 19506
 
18.2%
Decimal Number 15635
 
14.6%
Close Punctuation 3880
 
3.6%
Open Punctuation 3879
 
3.6%
Other Punctuation 1251
 
1.2%
Dash Punctuation 405
 
0.4%
Uppercase Letter 181
 
0.2%
Lowercase Letter 20
 
< 0.1%
Math Symbol 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4882
 
7.8%
4700
 
7.5%
4028
 
6.4%
3970
 
6.3%
3884
 
6.2%
3862
 
6.2%
3849
 
6.2%
3849
 
6.2%
2309
 
3.7%
1714
 
2.7%
Other values (332) 25516
40.8%
Uppercase Letter
ValueCountFrequency (%)
B 57
31.5%
A 44
24.3%
D 24
13.3%
C 24
13.3%
T 7
 
3.9%
M 5
 
2.8%
K 5
 
2.8%
F 4
 
2.2%
S 2
 
1.1%
G 2
 
1.1%
Other values (6) 7
 
3.9%
Decimal Number
ValueCountFrequency (%)
1 3323
21.3%
2 2281
14.6%
3 1832
11.7%
4 1560
10.0%
5 1422
9.1%
6 1198
 
7.7%
0 1189
 
7.6%
7 989
 
6.3%
8 964
 
6.2%
9 877
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
b 7
35.0%
c 3
15.0%
a 2
 
10.0%
l 2
 
10.0%
o 1
 
5.0%
r 1
 
5.0%
w 1
 
5.0%
e 1
 
5.0%
s 1
 
5.0%
g 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 1241
99.2%
/ 7
 
0.6%
. 3
 
0.2%
Space Separator
ValueCountFrequency (%)
19506
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3880
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3879
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 405
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62563
58.3%
Common 44566
41.5%
Latin 201
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4882
 
7.8%
4700
 
7.5%
4028
 
6.4%
3970
 
6.3%
3884
 
6.2%
3862
 
6.2%
3849
 
6.2%
3849
 
6.2%
2309
 
3.7%
1714
 
2.7%
Other values (332) 25516
40.8%
Latin
ValueCountFrequency (%)
B 57
28.4%
A 44
21.9%
D 24
11.9%
C 24
11.9%
T 7
 
3.5%
b 7
 
3.5%
M 5
 
2.5%
K 5
 
2.5%
F 4
 
2.0%
c 3
 
1.5%
Other values (16) 21
 
10.4%
Common
ValueCountFrequency (%)
19506
43.8%
) 3880
 
8.7%
( 3879
 
8.7%
1 3323
 
7.5%
2 2281
 
5.1%
3 1832
 
4.1%
4 1560
 
3.5%
5 1422
 
3.2%
, 1241
 
2.8%
6 1198
 
2.7%
Other values (9) 4444
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62563
58.3%
ASCII 44767
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19506
43.6%
) 3880
 
8.7%
( 3879
 
8.7%
1 3323
 
7.4%
2 2281
 
5.1%
3 1832
 
4.1%
4 1560
 
3.5%
5 1422
 
3.2%
, 1241
 
2.8%
6 1198
 
2.7%
Other values (35) 4645
 
10.4%
Hangul
ValueCountFrequency (%)
4882
 
7.8%
4700
 
7.5%
4028
 
6.4%
3970
 
6.3%
3884
 
6.2%
3862
 
6.2%
3849
 
6.2%
3849
 
6.2%
2309
 
3.7%
1714
 
2.7%
Other values (332) 25516
40.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct273
Distinct (%)75.0%
Missing4166
Missing (%)92.0%
Infinite0
Infinite (%)0.0%
Mean13266.621
Minimum1055
Maximum158819
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size39.9 KiB
2024-05-11T02:50:41.606393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1055
5-th percentile1695
Q14041.75
median5765.5
Q38244.5
95-th percentile131681.9
Maximum158819
Range157764
Interquartile range (IQR)4202.75

Descriptive statistics

Standard deviation31622.111
Coefficient of variation (CV)2.3835844
Kurtosis13.6087
Mean13266.621
Median Absolute Deviation (MAD)1989.5
Skewness3.918659
Sum4829050
Variance9.999579 × 108
MonotonicityNot monotonic
2024-05-11T02:50:42.107044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3190 6
 
0.1%
8776 6
 
0.1%
3776 6
 
0.1%
1695 6
 
0.1%
8787 6
 
0.1%
5548 4
 
0.1%
5657 4
 
0.1%
4039 4
 
0.1%
5558 4
 
0.1%
6129 3
 
0.1%
Other values (263) 315
 
7.0%
(Missing) 4166
92.0%
ValueCountFrequency (%)
1055 1
< 0.1%
1122 1
< 0.1%
1127 1
< 0.1%
1200 1
< 0.1%
1219 1
< 0.1%
1220 1
< 0.1%
1355 1
< 0.1%
1385 1
< 0.1%
1455 1
< 0.1%
1663 1
< 0.1%
ValueCountFrequency (%)
158819 1
< 0.1%
153858 1
< 0.1%
153823 1
< 0.1%
151913 1
< 0.1%
151892 2
< 0.1%
151875 1
< 0.1%
151822 1
< 0.1%
150033 1
< 0.1%
142804 1
< 0.1%
138861 1
< 0.1%
Distinct3344
Distinct (%)73.8%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
2024-05-11T02:50:42.641747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length33
Mean length6.1220751
Min length1

Characters and Unicode

Total characters27733
Distinct characters726
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2845 ?
Unique (%)62.8%

Sample

1st row나무 PC
2nd row불독 PC방
3rd row포탈 피시방 강남역점(Portal PC방 강남역점)
4th row아이센스리그 PC방
5th row아이쎈 PC카페
ValueCountFrequency (%)
비디오 106
 
1.9%
현장조사 70
 
1.3%
무단폐업 66
 
1.2%
pc방 39
 
0.7%
영화마을 38
 
0.7%
pc 38
 
0.7%
영비디오 28
 
0.5%
게임랜드 23
 
0.4%
둘리비디오 22
 
0.4%
비디오여행 20
 
0.4%
Other values (3478) 5016
91.8%
2024-05-11T02:50:43.435714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1566
 
5.6%
1430
 
5.2%
1418
 
5.1%
937
 
3.4%
524
 
1.9%
517
 
1.9%
454
 
1.6%
435
 
1.6%
402
 
1.4%
385
 
1.4%
Other values (716) 19665
70.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23615
85.2%
Uppercase Letter 1110
 
4.0%
Space Separator 937
 
3.4%
Decimal Number 915
 
3.3%
Close Punctuation 370
 
1.3%
Open Punctuation 354
 
1.3%
Lowercase Letter 208
 
0.8%
Dash Punctuation 154
 
0.6%
Other Punctuation 66
 
0.2%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1566
 
6.6%
1430
 
6.1%
1418
 
6.0%
524
 
2.2%
517
 
2.2%
454
 
1.9%
435
 
1.8%
402
 
1.7%
385
 
1.6%
366
 
1.5%
Other values (643) 16118
68.3%
Uppercase Letter
ValueCountFrequency (%)
C 243
21.9%
P 237
21.4%
E 55
 
5.0%
A 50
 
4.5%
R 47
 
4.2%
L 44
 
4.0%
O 42
 
3.8%
N 42
 
3.8%
M 39
 
3.5%
T 37
 
3.3%
Other values (16) 274
24.7%
Lowercase Letter
ValueCountFrequency (%)
e 27
13.0%
c 24
11.5%
a 24
11.5%
r 19
9.1%
p 18
8.7%
n 15
 
7.2%
o 12
 
5.8%
f 9
 
4.3%
k 9
 
4.3%
y 8
 
3.8%
Other values (13) 43
20.7%
Decimal Number
ValueCountFrequency (%)
0 215
23.5%
2 193
21.1%
1 152
16.6%
4 124
13.6%
5 83
 
9.1%
3 40
 
4.4%
9 39
 
4.3%
8 30
 
3.3%
7 28
 
3.1%
6 11
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 44
66.7%
& 13
 
19.7%
, 3
 
4.5%
# 2
 
3.0%
! 2
 
3.0%
/ 1
 
1.5%
? 1
 
1.5%
Math Symbol
ValueCountFrequency (%)
| 2
50.0%
= 1
25.0%
+ 1
25.0%
Space Separator
ValueCountFrequency (%)
937
100.0%
Close Punctuation
ValueCountFrequency (%)
) 370
100.0%
Open Punctuation
ValueCountFrequency (%)
( 354
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 154
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23610
85.1%
Common 2800
 
10.1%
Latin 1318
 
4.8%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1566
 
6.6%
1430
 
6.1%
1418
 
6.0%
524
 
2.2%
517
 
2.2%
454
 
1.9%
435
 
1.8%
402
 
1.7%
385
 
1.6%
366
 
1.6%
Other values (638) 16113
68.2%
Latin
ValueCountFrequency (%)
C 243
18.4%
P 237
18.0%
E 55
 
4.2%
A 50
 
3.8%
R 47
 
3.6%
L 44
 
3.3%
O 42
 
3.2%
N 42
 
3.2%
M 39
 
3.0%
T 37
 
2.8%
Other values (39) 482
36.6%
Common
ValueCountFrequency (%)
937
33.5%
) 370
 
13.2%
( 354
 
12.6%
0 215
 
7.7%
2 193
 
6.9%
- 154
 
5.5%
1 152
 
5.4%
4 124
 
4.4%
5 83
 
3.0%
. 44
 
1.6%
Other values (14) 174
 
6.2%
Han
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23610
85.1%
ASCII 4118
 
14.8%
CJK 5
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1566
 
6.6%
1430
 
6.1%
1418
 
6.0%
524
 
2.2%
517
 
2.2%
454
 
1.9%
435
 
1.8%
402
 
1.7%
385
 
1.6%
366
 
1.6%
Other values (638) 16113
68.2%
ASCII
ValueCountFrequency (%)
937
22.8%
) 370
 
9.0%
( 354
 
8.6%
C 243
 
5.9%
P 237
 
5.8%
0 215
 
5.2%
2 193
 
4.7%
- 154
 
3.7%
1 152
 
3.7%
4 124
 
3.0%
Other values (63) 1139
27.7%
CJK
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Distinct1394
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
Minimum2002-10-22 17:41:01
Maximum2024-05-08 16:47:00
2024-05-11T02:50:43.699518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:50:43.989487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
I
4181 
U
 
348
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
I 4181
92.3%
U 348
 
7.7%
D 1
 
< 0.1%

Length

2024-05-11T02:50:44.225243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:50:44.392883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 4181
92.3%
u 348
 
7.7%
d 1
 
< 0.1%
Distinct257
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T02:50:44.692941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:50:44.951087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4530
Missing (%)100.0%
Memory size39.9 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct3201
Distinct (%)79.2%
Missing490
Missing (%)10.8%
Infinite0
Infinite (%)0.0%
Mean198462.44
Minimum182406.89
Maximum215289.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size39.9 KiB
2024-05-11T02:50:45.398813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182406.89
5-th percentile184703.17
Q1187766.28
median201470.23
Q3206822.67
95-th percentile208520.09
Maximum215289.82
Range32882.928
Interquartile range (IQR)19056.396

Descriptive statistics

Standard deviation9053.3766
Coefficient of variation (CV)0.045617582
Kurtosis-1.4427201
Mean198462.44
Median Absolute Deviation (MAD)6198.7705
Skewness-0.41575541
Sum8.0178825 × 108
Variance81963629
MonotonicityNot monotonic
2024-05-11T02:50:45.819223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
208394.416382167 72
 
1.6%
186850.824018452 32
 
0.7%
199534.329650967 24
 
0.5%
199521.200809167 18
 
0.4%
182735.786874703 17
 
0.4%
199526.416139264 16
 
0.4%
188467.215363052 6
 
0.1%
184642.500428074 6
 
0.1%
183394.032235885 6
 
0.1%
184473.071879416 5
 
0.1%
Other values (3191) 3838
84.7%
(Missing) 490
 
10.8%
ValueCountFrequency (%)
182406.887390123 1
 
< 0.1%
182735.786874703 17
0.4%
182742.537963411 1
 
< 0.1%
182794.441839414 2
 
< 0.1%
182815.084211868 1
 
< 0.1%
182857.528466005 2
 
< 0.1%
182859.059692916 1
 
< 0.1%
182924.505322144 1
 
< 0.1%
182964.153168769 1
 
< 0.1%
182988.912846535 1
 
< 0.1%
ValueCountFrequency (%)
215289.815449411 2
< 0.1%
213670.115208373 1
< 0.1%
213584.864293281 1
< 0.1%
213545.011196457 1
< 0.1%
212888.836152533 1
< 0.1%
212855.365006096 1
< 0.1%
212786.253037106 1
< 0.1%
212768.639964757 1
< 0.1%
212721.322451722 1
< 0.1%
212667.220099231 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct3201
Distinct (%)79.2%
Missing490
Missing (%)10.8%
Infinite0
Infinite (%)0.0%
Mean451435.69
Minimum438929.32
Maximum463280.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size39.9 KiB
2024-05-11T02:50:46.241876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum438929.32
5-th percentile445193.53
Q1448353.91
median451334.71
Q3454706.72
95-th percentile456840.42
Maximum463280.85
Range24351.532
Interquartile range (IQR)6352.8131

Descriptive statistics

Standard deviation3869.8923
Coefficient of variation (CV)0.008572411
Kurtosis-0.35267469
Mean451435.69
Median Absolute Deviation (MAD)3169.4311
Skewness-0.26153236
Sum1.8238002 × 109
Variance14976066
MonotonicityNot monotonic
2024-05-11T02:50:46.654922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448165.279999905 72
 
1.6%
450258.958284373 32
 
0.7%
451608.222852119 24
 
0.5%
451751.424132583 18
 
0.4%
451591.610813727 17
 
0.4%
451693.211256949 16
 
0.4%
446003.941216623 6
 
0.1%
453595.387945696 6
 
0.1%
452906.521290095 6
 
0.1%
447846.27503544 5
 
0.1%
Other values (3191) 3838
84.7%
(Missing) 490
 
10.8%
ValueCountFrequency (%)
438929.317725804 1
< 0.1%
439065.169432475 1
< 0.1%
439172.074094237 1
< 0.1%
439366.900101543 1
< 0.1%
439390.862880938 1
< 0.1%
439773.967202243 1
< 0.1%
440509.350029923 1
< 0.1%
440768.73823811 1
< 0.1%
440771.958692379 2
< 0.1%
440772.300079171 1
< 0.1%
ValueCountFrequency (%)
463280.850006751 1
< 0.1%
462743.200449984 1
< 0.1%
462587.903767288 1
< 0.1%
462521.779042418 1
< 0.1%
462265.944658922 1
< 0.1%
461955.875256541 1
< 0.1%
461818.506049631 1
< 0.1%
461710.564133234 1
< 0.1%
461644.130138554 1
< 0.1%
461626.244911047 1
< 0.1%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
복합유통게임제공업
4323 
<NA>
 
207

Length

Max length9
Median length9
Mean length8.7715232
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
복합유통게임제공업 4323
95.4%
<NA> 207
 
4.6%

Length

2024-05-11T02:50:47.067600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:50:47.348059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복합유통게임제공업 4323
95.4%
na 207
 
4.6%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
유통관련업
4323 
<NA>
 
207

Length

Max length5
Median length5
Mean length4.9543046
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 4323
95.4%
<NA> 207
 
4.6%

Length

2024-05-11T02:50:47.657120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:50:47.986064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 4323
95.4%
na 207
 
4.6%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)0.9%
Missing2469
Missing (%)54.5%
Infinite0
Infinite (%)0.0%
Mean0.7874818
Minimum0
Maximum30
Zeros1705
Zeros (%)37.6%
Negative0
Negative (%)0.0%
Memory size39.9 KiB
2024-05-11T02:50:48.285153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.1018851
Coefficient of variation (CV)2.6691221
Kurtosis35.591775
Mean0.7874818
Median Absolute Deviation (MAD)0
Skewness4.5255764
Sum1623
Variance4.4179209
MonotonicityNot monotonic
2024-05-11T02:50:48.677204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 1705
37.6%
4 106
 
2.3%
5 79
 
1.7%
3 60
 
1.3%
6 31
 
0.7%
2 24
 
0.5%
1 22
 
0.5%
7 10
 
0.2%
9 8
 
0.2%
8 4
 
0.1%
Other values (9) 12
 
0.3%
(Missing) 2469
54.5%
ValueCountFrequency (%)
0 1705
37.6%
1 22
 
0.5%
2 24
 
0.5%
3 60
 
1.3%
4 106
 
2.3%
5 79
 
1.7%
6 31
 
0.7%
7 10
 
0.2%
8 4
 
0.1%
9 8
 
0.2%
ValueCountFrequency (%)
30 1
 
< 0.1%
23 1
 
< 0.1%
20 1
 
< 0.1%
18 1
 
< 0.1%
17 2
 
< 0.1%
14 1
 
< 0.1%
13 1
 
< 0.1%
12 1
 
< 0.1%
10 3
 
0.1%
9 8
0.2%

주변환경명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
<NA>
3821 
주택가주변
471 
기타
 
136
유흥업소밀집지역
 
48
학교정화(상대)
 
28
Other values (2)
 
26

Length

Max length8
Median length4
Mean length4.1172185
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> 3821
84.3%
주택가주변 471
 
10.4%
기타 136
 
3.0%
유흥업소밀집지역 48
 
1.1%
학교정화(상대) 28
 
0.6%
아파트지역 25
 
0.6%
결혼예식장주변 1
 
< 0.1%

Length

2024-05-11T02:50:49.116698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:50:49.459023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3821
84.3%
주택가주변 471
 
10.4%
기타 136
 
3.0%
유흥업소밀집지역 48
 
1.1%
학교정화(상대 28
 
0.6%
아파트지역 25
 
0.6%
결혼예식장주변 1
 
< 0.1%
Distinct79
Distinct (%)29.4%
Missing4261
Missing (%)94.1%
Memory size35.5 KiB
2024-05-11T02:50:50.088323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length26
Mean length8.0371747
Min length1

Characters and Unicode

Total characters2162
Distinct characters123
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

Unique68 ?
Unique (%)25.3%

Sample

1st row노래연습, 비디오감상
2nd row휴게음식점
3rd row식품접객업
4th row기타유원시설업
5th row영화감상, 노래연습장
ValueCountFrequency (%)
57
17.7%
식품접객업(휴게음식점 47
14.6%
휴게음식점 36
 
11.2%
식품접객업 26
 
8.1%
노래연습장업 24
 
7.5%
노래연습장 8
 
2.5%
기타유원시설업 7
 
2.2%
청소년게임제공업 5
 
1.6%
4
 
1.2%
비디오 4
 
1.2%
Other values (85) 104
32.3%
2024-05-11T02:50:51.143107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
171
 
7.9%
139
 
6.4%
130
 
6.0%
- 119
 
5.5%
93
 
4.3%
92
 
4.3%
91
 
4.2%
79
 
3.7%
76
 
3.5%
76
 
3.5%
Other values (113) 1096
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1681
77.8%
Dash Punctuation 119
 
5.5%
Decimal Number 82
 
3.8%
Other Punctuation 67
 
3.1%
Close Punctuation 58
 
2.7%
Open Punctuation 58
 
2.7%
Space Separator 53
 
2.5%
Lowercase Letter 24
 
1.1%
Uppercase Letter 16
 
0.7%
Math Symbol 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
171
 
10.2%
139
 
8.3%
130
 
7.7%
93
 
5.5%
92
 
5.5%
91
 
5.4%
79
 
4.7%
76
 
4.5%
76
 
4.5%
61
 
3.6%
Other values (72) 673
40.0%
Lowercase Letter
ValueCountFrequency (%)
c 4
16.7%
p 4
16.7%
i 3
12.5%
y 2
8.3%
n 2
8.3%
o 2
8.3%
a 2
8.3%
t 2
8.3%
s 1
 
4.2%
l 1
 
4.2%
Decimal Number
ValueCountFrequency (%)
0 18
22.0%
1 17
20.7%
2 13
15.9%
4 9
11.0%
9 7
 
8.5%
7 5
 
6.1%
6 5
 
6.1%
8 3
 
3.7%
3 3
 
3.7%
5 2
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
V 3
18.8%
X 2
12.5%
T 2
12.5%
C 2
12.5%
P 2
12.5%
W 1
 
6.2%
R 1
 
6.2%
B 1
 
6.2%
O 1
 
6.2%
S 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 55
82.1%
. 5
 
7.5%
: 3
 
4.5%
? 2
 
3.0%
/ 2
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 119
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Space Separator
ValueCountFrequency (%)
53
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1681
77.8%
Common 441
 
20.4%
Latin 40
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
171
 
10.2%
139
 
8.3%
130
 
7.7%
93
 
5.5%
92
 
5.5%
91
 
5.4%
79
 
4.7%
76
 
4.5%
76
 
4.5%
61
 
3.6%
Other values (72) 673
40.0%
Latin
ValueCountFrequency (%)
c 4
 
10.0%
p 4
 
10.0%
V 3
 
7.5%
i 3
 
7.5%
y 2
 
5.0%
X 2
 
5.0%
T 2
 
5.0%
n 2
 
5.0%
o 2
 
5.0%
a 2
 
5.0%
Other values (11) 14
35.0%
Common
ValueCountFrequency (%)
- 119
27.0%
) 58
13.2%
( 58
13.2%
, 55
12.5%
53
12.0%
0 18
 
4.1%
1 17
 
3.9%
2 13
 
2.9%
4 9
 
2.0%
9 7
 
1.6%
Other values (10) 34
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1681
77.8%
ASCII 481
 
22.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
171
 
10.2%
139
 
8.3%
130
 
7.7%
93
 
5.5%
92
 
5.5%
91
 
5.4%
79
 
4.7%
76
 
4.5%
76
 
4.5%
61
 
3.6%
Other values (72) 673
40.0%
ASCII
ValueCountFrequency (%)
- 119
24.7%
) 58
12.1%
( 58
12.1%
, 55
11.4%
53
11.0%
0 18
 
3.7%
1 17
 
3.5%
2 13
 
2.7%
4 9
 
1.9%
9 7
 
1.5%
Other values (31) 74
15.4%

시설면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct517
Distinct (%)12.1%
Missing245
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean33.254798
Minimum0
Maximum9596.27
Zeros3711
Zeros (%)81.9%
Negative0
Negative (%)0.0%
Memory size39.9 KiB
2024-05-11T02:50:51.530183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile227.68
Maximum9596.27
Range9596.27
Interquartile range (IQR)0

Descriptive statistics

Standard deviation201.24845
Coefficient of variation (CV)6.0517116
Kurtosis1270.5266
Mean33.254798
Median Absolute Deviation (MAD)0
Skewness29.973735
Sum142496.81
Variance40500.937
MonotonicityNot monotonic
2024-05-11T02:50:52.226961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 3711
81.9%
33.0 15
 
0.3%
132.0 6
 
0.1%
66.0 5
 
0.1%
39.6 4
 
0.1%
82.5 4
 
0.1%
99.0 3
 
0.1%
214.5 3
 
0.1%
40.0 3
 
0.1%
26.4 3
 
0.1%
Other values (507) 528
 
11.7%
(Missing) 245
 
5.4%
ValueCountFrequency (%)
0.0 3711
81.9%
1.0 1
 
< 0.1%
12.0 1
 
< 0.1%
12.1 1
 
< 0.1%
13.2 1
 
< 0.1%
14.79 1
 
< 0.1%
15.0 1
 
< 0.1%
17.52 1
 
< 0.1%
17.75 1
 
< 0.1%
18.61 1
 
< 0.1%
ValueCountFrequency (%)
9596.27 1
< 0.1%
4051.35 1
< 0.1%
3765.72 1
< 0.1%
3098.55 1
< 0.1%
2136.35 1
< 0.1%
1012.39 1
< 0.1%
999.03 1
< 0.1%
990.48 1
< 0.1%
983.4 1
< 0.1%
981.29 1
< 0.1%

지상층수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct16
Distinct (%)0.8%
Missing2439
Missing (%)53.8%
Infinite0
Infinite (%)0.0%
Mean0.70157819
Minimum0
Maximum123
Zeros1683
Zeros (%)37.2%
Negative0
Negative (%)0.0%
Memory size39.9 KiB
2024-05-11T02:50:52.445666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum123
Range123
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.1896802
Coefficient of variation (CV)4.5464358
Kurtosis1041.8118
Mean0.70157819
Median Absolute Deviation (MAD)0
Skewness28.032997
Sum1467
Variance10.17406
MonotonicityNot monotonic
2024-05-11T02:50:52.660038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 1683
37.2%
3 127
 
2.8%
2 79
 
1.7%
4 76
 
1.7%
1 62
 
1.4%
5 36
 
0.8%
6 11
 
0.2%
7 4
 
0.1%
9 3
 
0.1%
8 3
 
0.1%
Other values (6) 7
 
0.2%
(Missing) 2439
53.8%
ValueCountFrequency (%)
0 1683
37.2%
1 62
 
1.4%
2 79
 
1.7%
3 127
 
2.8%
4 76
 
1.7%
5 36
 
0.8%
6 11
 
0.2%
7 4
 
0.1%
8 3
 
0.1%
9 3
 
0.1%
ValueCountFrequency (%)
123 1
 
< 0.1%
34 1
 
< 0.1%
23 1
 
< 0.1%
15 2
 
< 0.1%
14 1
 
< 0.1%
13 1
 
< 0.1%
9 3
 
0.1%
8 3
 
0.1%
7 4
 
0.1%
6 11
0.2%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)0.4%
Missing2485
Missing (%)54.9%
Infinite0
Infinite (%)0.0%
Mean0.1799511
Minimum0
Maximum11
Zeros1730
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size39.9 KiB
2024-05-11T02:50:52.870660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.53624865
Coefficient of variation (CV)2.9799687
Kurtosis105.76523
Mean0.1799511
Median Absolute Deviation (MAD)0
Skewness7.4781434
Sum368
Variance0.28756262
MonotonicityNot monotonic
2024-05-11T02:50:53.105748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 1730
38.2%
1 294
 
6.5%
2 10
 
0.2%
3 4
 
0.1%
5 3
 
0.1%
6 2
 
< 0.1%
4 1
 
< 0.1%
11 1
 
< 0.1%
(Missing) 2485
54.9%
ValueCountFrequency (%)
0 1730
38.2%
1 294
 
6.5%
2 10
 
0.2%
3 4
 
0.1%
4 1
 
< 0.1%
5 3
 
0.1%
6 2
 
< 0.1%
11 1
 
< 0.1%
ValueCountFrequency (%)
11 1
 
< 0.1%
6 2
 
< 0.1%
5 3
 
0.1%
4 1
 
< 0.1%
3 4
 
0.1%
2 10
 
0.2%
1 294
 
6.5%
0 1730
38.2%

건물용도명
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
<NA>
3451 
근린생활시설
1054 
판매시설
 
8
연립주택
 
7
유기장
 
3
Other values (6)
 
7

Length

Max length6
Median length4
Mean length4.4644592
Min length2

Unique

Unique5 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3451
76.2%
근린생활시설 1054
 
23.3%
판매시설 8
 
0.2%
연립주택 7
 
0.2%
유기장 3
 
0.1%
유통시설 2
 
< 0.1%
기타 1
 
< 0.1%
사무실 1
 
< 0.1%
의료시설 1
 
< 0.1%
숙박시설 1
 
< 0.1%

Length

2024-05-11T02:50:53.348965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3451
76.2%
근린생활시설 1054
 
23.3%
판매시설 8
 
0.2%
연립주택 7
 
0.2%
유기장 3
 
0.1%
유통시설 2
 
< 0.1%
기타 1
 
< 0.1%
사무실 1
 
< 0.1%
의료시설 1
 
< 0.1%
숙박시설 1
 
< 0.1%

통로너비
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
<NA>
3904 
0
626 

Length

Max length4
Median length4
Mean length3.5854305
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> 3904
86.2%
0 626
 
13.8%

Length

2024-05-11T02:50:53.597132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:50:53.779308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3904
86.2%
0 626
 
13.8%

조명시설조도
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)1.9%
Missing3891
Missing (%)85.9%
Infinite0
Infinite (%)0.0%
Mean1.8544601
Minimum0
Maximum165
Zeros624
Zeros (%)13.8%
Negative0
Negative (%)0.0%
Memory size39.9 KiB
2024-05-11T02:50:53.945318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum165
Range165
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.602131
Coefficient of variation (CV)7.3348201
Kurtosis83.877234
Mean1.8544601
Median Absolute Deviation (MAD)0
Skewness8.7251835
Sum1185
Variance185.01797
MonotonicityNot monotonic
2024-05-11T02:50:54.176631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 624
 
13.8%
40 4
 
0.1%
50 2
 
< 0.1%
100 1
 
< 0.1%
120 1
 
< 0.1%
86 1
 
< 0.1%
52 1
 
< 0.1%
105 1
 
< 0.1%
160 1
 
< 0.1%
165 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
(Missing) 3891
85.9%
ValueCountFrequency (%)
0 624
13.8%
40 4
 
0.1%
45 1
 
< 0.1%
50 2
 
< 0.1%
52 1
 
< 0.1%
86 1
 
< 0.1%
92 1
 
< 0.1%
100 1
 
< 0.1%
105 1
 
< 0.1%
120 1
 
< 0.1%
ValueCountFrequency (%)
165 1
< 0.1%
160 1
< 0.1%
120 1
< 0.1%
105 1
< 0.1%
100 1
< 0.1%
92 1
< 0.1%
86 1
< 0.1%
52 1
< 0.1%
50 2
< 0.1%
45 1
< 0.1%

노래방실수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
<NA>
3904 
0
626 

Length

Max length4
Median length4
Mean length3.5854305
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> 3904
86.2%
0 626
 
13.8%

Length

2024-05-11T02:50:54.497894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:50:54.786965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3904
86.2%
0 626
 
13.8%

청소년실수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
<NA>
3904 
0
626 

Length

Max length4
Median length4
Mean length3.5854305
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> 3904
86.2%
0 626
 
13.8%

Length

2024-05-11T02:50:54.981895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:50:55.161938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3904
86.2%
0 626
 
13.8%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4530
Missing (%)100.0%
Memory size39.9 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4530
Missing (%)100.0%
Memory size39.9 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4530
Missing (%)100.0%
Memory size39.9 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4530
Missing (%)100.0%
Memory size39.9 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4530
Missing (%)100.0%
Memory size39.9 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4530
Missing (%)100.0%
Memory size39.9 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4530
Missing (%)100.0%
Memory size39.9 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4530
Missing (%)100.0%
Memory size39.9 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4530
Missing (%)100.0%
Memory size39.9 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4530
Missing (%)100.0%
Memory size39.9 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4530
Missing (%)100.0%
Memory size39.9 KiB

총게임기수
Real number (ℝ)

MISSING  ZEROS 

Distinct65
Distinct (%)9.5%
Missing3844
Missing (%)84.9%
Infinite0
Infinite (%)0.0%
Mean9.154519
Minimum0
Maximum315
Zeros608
Zeros (%)13.4%
Negative0
Negative (%)0.0%
Memory size39.9 KiB
2024-05-11T02:50:55.402086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile80.75
Maximum315
Range315
Interquartile range (IQR)0

Descriptive statistics

Standard deviation32.76458
Coefficient of variation (CV)3.5790608
Kurtosis27.293868
Mean9.154519
Median Absolute Deviation (MAD)0
Skewness4.6882144
Sum6280
Variance1073.5177
MonotonicityNot monotonic
2024-05-11T02:50:55.669101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 608
 
13.4%
14 3
 
0.1%
89 3
 
0.1%
106 2
 
< 0.1%
10 2
 
< 0.1%
90 2
 
< 0.1%
70 2
 
< 0.1%
69 2
 
< 0.1%
13 2
 
< 0.1%
2 2
 
< 0.1%
Other values (55) 58
 
1.3%
(Missing) 3844
84.9%
ValueCountFrequency (%)
0 608
13.4%
2 2
 
< 0.1%
5 2
 
< 0.1%
7 1
 
< 0.1%
9 1
 
< 0.1%
10 2
 
< 0.1%
12 1
 
< 0.1%
13 2
 
< 0.1%
14 3
 
0.1%
15 1
 
< 0.1%
ValueCountFrequency (%)
315 1
< 0.1%
281 1
< 0.1%
251 1
< 0.1%
195 1
< 0.1%
161 1
< 0.1%
151 1
< 0.1%
150 1
< 0.1%
143 1
< 0.1%
135 2
< 0.1%
131 1
< 0.1%
Distinct43
Distinct (%)58.1%
Missing4456
Missing (%)98.4%
Memory size35.5 KiB
2024-05-11T02:50:56.197396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length9.972973
Min length1

Characters and Unicode

Total characters738
Distinct characters107
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)45.9%

Sample

1st row식품접객업
2nd row영화감상
3rd row1개의기기에다양한콘텐츠제공
4th row복합유통게임제공업
5th row1개의기기에다양한콘텐츠제공
ValueCountFrequency (%)
휴게음식점 10
 
9.2%
식품접객업 9
 
8.3%
식품접객업(휴게음식점 7
 
6.4%
노래연습장업 6
 
5.5%
청소년게임제공업 5
 
4.6%
노래연습장 5
 
4.6%
1개의 4
 
3.7%
제공 4
 
3.7%
기기에서 4
 
3.7%
3
 
2.8%
Other values (46) 52
47.7%
2024-05-11T02:50:57.281235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43
 
5.8%
40
 
5.4%
36
 
4.9%
35
 
4.7%
23
 
3.1%
20
 
2.7%
20
 
2.7%
20
 
2.7%
20
 
2.7%
19
 
2.6%
Other values (97) 462
62.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 618
83.7%
Space Separator 35
 
4.7%
Decimal Number 28
 
3.8%
Other Punctuation 25
 
3.4%
Open Punctuation 13
 
1.8%
Close Punctuation 13
 
1.8%
Uppercase Letter 4
 
0.5%
Dash Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
43
 
7.0%
40
 
6.5%
36
 
5.8%
23
 
3.7%
20
 
3.2%
20
 
3.2%
20
 
3.2%
20
 
3.2%
19
 
3.1%
19
 
3.1%
Other values (80) 358
57.9%
Decimal Number
ValueCountFrequency (%)
1 11
39.3%
2 7
25.0%
0 4
 
14.3%
3 2
 
7.1%
9 2
 
7.1%
4 1
 
3.6%
7 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 18
72.0%
. 5
 
20.0%
? 2
 
8.0%
Uppercase Letter
ValueCountFrequency (%)
P 2
50.0%
C 2
50.0%
Space Separator
ValueCountFrequency (%)
35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 618
83.7%
Common 116
 
15.7%
Latin 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
43
 
7.0%
40
 
6.5%
36
 
5.8%
23
 
3.7%
20
 
3.2%
20
 
3.2%
20
 
3.2%
20
 
3.2%
19
 
3.1%
19
 
3.1%
Other values (80) 358
57.9%
Common
ValueCountFrequency (%)
35
30.2%
, 18
15.5%
( 13
 
11.2%
) 13
 
11.2%
1 11
 
9.5%
2 7
 
6.0%
. 5
 
4.3%
0 4
 
3.4%
3 2
 
1.7%
? 2
 
1.7%
Other values (5) 6
 
5.2%
Latin
ValueCountFrequency (%)
P 2
50.0%
C 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 618
83.7%
ASCII 120
 
16.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
43
 
7.0%
40
 
6.5%
36
 
5.8%
23
 
3.7%
20
 
3.2%
20
 
3.2%
20
 
3.2%
20
 
3.2%
19
 
3.1%
19
 
3.1%
Other values (80) 358
57.9%
ASCII
ValueCountFrequency (%)
35
29.2%
, 18
15.0%
( 13
 
10.8%
) 13
 
10.8%
1 11
 
9.2%
2 7
 
5.8%
. 5
 
4.2%
0 4
 
3.3%
3 2
 
1.7%
? 2
 
1.7%
Other values (7) 10
 
8.3%

제공게임물명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
<NA>
4313 
전체이용가
 
209
청소년이용불가
 
7
전체이용가 및 청소년이용불가
 
1

Length

Max length15
Median length4
Mean length4.0532009
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> 4313
95.2%
전체이용가 209
 
4.6%
청소년이용불가 7
 
0.2%
전체이용가 및 청소년이용불가 1
 
< 0.1%

Length

2024-05-11T02:50:57.751335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:50:58.098455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4313
95.2%
전체이용가 210
 
4.6%
청소년이용불가 8
 
0.2%
1
 
< 0.1%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4530
Missing (%)100.0%
Memory size39.9 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4530
Missing (%)100.0%
Memory size39.9 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4530
Missing (%)100.0%
Memory size39.9 KiB

지역구분명
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size35.5 KiB
<NA>
4348 
근린상업지역
 
67
일반주거지역
 
43
일반상업지역
 
27
준주거지역
 
19
Other values (4)
 
26

Length

Max length6
Median length4
Mean length4.0660044
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4348
96.0%
근린상업지역 67
 
1.5%
일반주거지역 43
 
0.9%
일반상업지역 27
 
0.6%
준주거지역 19
 
0.4%
주거지역 13
 
0.3%
상업지역 9
 
0.2%
중심상업지역 2
 
< 0.1%
준공업지역 2
 
< 0.1%

Length

2024-05-11T02:50:58.440310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:50:58.797739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4348
96.0%
근린상업지역 67
 
1.5%
일반주거지역 43
 
0.9%
일반상업지역 27
 
0.6%
준주거지역 19
 
0.4%
주거지역 13
 
0.3%
상업지역 9
 
0.2%
중심상업지역 2
 
< 0.1%
준공업지역 2
 
< 0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03210000CDFF22410320230000022023-04-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1589-12 하이앤드타워서울특별시 서초구 반포대로14길 42, 하이앤드타워 지하1층 101호 (서초동)6653나무 PC2023-04-14 16:42:28I2022-12-03 23:06:00.0<NA>201119.982045442629.209365<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>
13060000CDFF22410320120000022012-08-31<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 묵동 239-1 3층 1,2호서울특별시 중랑구 동일로 911, 1,2호 (묵동)2006불독 PC방2023-07-03 11:13:31U2022-12-07 00:05:00.0<NA>206747.044329456606.392649<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>
23210000CDFF22410320230000012023-03-10<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4304-3800<NA><NA>서울특별시 서초구 서초동 1303-16 강남역 IPARK서울특별시 서초구 서초대로77길 62, 강남역 IPARK 지하2층 (서초동)6611포탈 피시방 강남역점(Portal PC방 강남역점)2023-03-14 08:46:14U2022-12-02 23:06:00.0<NA>202044.629094444504.112782<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>
33070000CDFF22410320230000012023-05-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 안암동5가 102-36서울특별시 성북구 고려대로24길 44 (안암동5가)2855아이센스리그 PC방2023-05-26 17:18:23I2022-12-04 22:08:00.0<NA>202515.277465453544.429633<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>
43200000CDFF22410320150000012015-04-03<NA>3폐업03폐업2023-04-26<NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 517-25서울특별시 관악구 난곡로78길 20, 2,3층 (신림동)8702아이쎈 PC카페2023-04-26 16:32:02U2022-12-03 22:09:00.0<NA>192388.524197442741.161402<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>
53080000CDFF22410320140000012014-02-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 813 삼성래미안트리베라1차아파트서울특별시 강북구 삼양로19길 25, 110동 1-1호 (미아동, 삼성래미안트리베라1차아파트)1200옵티멈존림피씨카페삼양동점 주식회사2023-03-31 17:52:52U2022-12-04 00:02:00.0<NA>201760.433753456845.37383<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>
63230000CDFF22410320230000012023-04-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 석촌동 184-7 레이크빌 빌딩서울특별시 송파구 송파대로 453, 레이크빌 빌딩 지하1층 (석촌동)5609라인업PC방2023-05-18 10:22:56U2022-12-04 22:00:00.0<NA>209240.579468444954.764896<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>
73140000CDFF22410320230000012023-07-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 917-6 중소기업유통센터(행복한백화점)서울특별시 양천구 목동동로 309, 중소기업유통센터(행복한백화점) 6층 (목동)7997메가박스 중앙(주)목동지점 퍼니벌스2024-03-12 11:32:10U2023-12-02 23:04:00.0<NA>188977.17105447466.355031<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>
83200000CDFF22410320230000012023-05-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 863-1 홍빌딩서울특별시 관악구 관악로 165, 홍빌딩 지하1층 (봉천동)8787레드포스pc2023-05-25 13:06:01I2022-12-04 22:07:00.0<NA>195697.211978441988.628637<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>
93130000CDFF22410320190000022019-04-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 성산동 515 월드컵주경기장서울특별시 마포구 월드컵로 240, 월드컵주경기장 1층 (성산동)3932짱오락실 상암월드컵점2023-08-22 16:42:02U2022-12-07 22:04:00.0<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><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
45203240000CDFF224103201600000120160725<NA>3폐업03폐업20211231<NA><NA><NA>070-8670-0302<NA><NA>서울특별시 강동구 암사동 500-1서울특별시 강동구 올림픽로 796, 2층 (암사동)5263COMON PC PLEX (커먼피씨플렉스)2022-01-18 18:18:06U2022-01-20 02:40:00.0<NA>211286.298907449980.709046복합유통게임제공업유통관련업<NA><NA><NA>414.03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
45213240000CDFF224103201200000120120119<NA>3폐업03폐업20190903<NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 440-30번지서울특별시 강동구 양재대로 1317, 지하101, 지하102호 (성내동, 경일빌딩)5408마우스헌터PC 카페 성내2호점2019-09-03 16:29:27U2019-09-05 02:40:00.0<NA>211800.836667446872.299833복합유통게임제공업유통관련업7<NA>휴게음식점357.7561근린생활시설<NA>92<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>123<NA><NA><NA><NA><NA>일반주거지역
45223240000CDFF224103201200000220120924<NA>3폐업03폐업20160926<NA><NA><NA><NA><NA><NA>서울특별시 강동구 명일동 48-12번지 지층 101호서울특별시 강동구 동남로71길 38, 101호 (명일동,지층)<NA>PC공간 고덕점2016-09-26 13:02:00I2018-08-31 23:59:59.0<NA>213545.011196449988.458107복합유통게임제공업유통관련업<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>
45233240000CDFF224103201300000120130715<NA>3폐업03폐업20140304<NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 432-7번지 지하1층서울특별시 강동구 올림픽로 663, 지하1층 (천호동)134874아이맥스 천호2014-03-04 13:51:52I2018-08-31 23:59:59.0<NA>210877.951797448729.272913복합유통게임제공업유통관련업<NA><NA><NA>172.79<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>PC방, 청소년게임제공업전체이용가<NA><NA><NA><NA>
45243240000CDFF224103201800000120180423<NA>3폐업03폐업20190121<NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 413-1번지 수정상가 201호서울특별시 강동구 천호대로157길 37, 수정상가 2층 201호 (천호동)5329ENTER VR GAME CAFE2019-01-21 14:39:15U2019-01-23 02:40:00.0<NA>211185.183548448606.609912복합유통게임제공업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>휴게음식점<NA><NA><NA><NA><NA>
45253240000CDFF224103201300000220131024<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 287-29번지 K타워 5층서울특별시 강동구 올림픽로 752, 5층 (천호동, K타워)5318도깨비PC방2019-11-13 14:30:37U2019-11-15 02:40:00.0<NA>211165.03475449556.520198복합유통게임제공업유통관련업<NA><NA>휴게음식점346.63<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
45263240000CDFF224103201100000220110921<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 358-12번지 지층서울특별시 강동구 올림픽로 690, 지층 (천호동)5327프리미엄 PC방2019-11-13 14:29:29U2019-11-15 02:40:00.0<NA>211001.738924448976.540074복합유통게임제공업유통관련업4<NA><NA>489.5531근린생활시설<NA>45<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>195<NA><NA><NA><NA><NA><NA>
45273240000CDFF224103201700000320171026<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 416번지서울특별시 강동구 양재대로 1371, 지하1층 (성내동)5404스타덤PC방(둔촌역본점)2019-11-13 14:29:54U2019-11-15 02:40:00.0<NA>211944.903254447400.233206복합유통게임제공업유통관련업<NA><NA>노래연습장업344.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
45283240000CDFF224103201700000120170126<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 288-28번지서울특별시 강동구 상암로12길 9, 2층 (천호동)5318제논 피씨 플렉스(ZENON PC PLEX)2017-11-15 14:09:18I2018-08-31 23:59:59.0<NA>211292.876644449671.507805복합유통게임제공업유통관련업<NA><NA>식품접객업(휴게음식점)328.93<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>
45293240000CDFF224103201700000220170328<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 강일동 675-1번지서울특별시 강동구 아리수로93길 27, 5층 (강일동, 강일타워)5211The Ten PC Cafe2017-09-01 10:26:35I2018-08-31 23:59:59.0<NA>215289.815449451519.404046복합유통게임제공업유통관련업<NA><NA>식품접객업(휴게음식점)<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>