Overview

Dataset statistics

Number of variables56
Number of observations953
Missing cells25204
Missing cells (%)47.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory450.6 KiB
Average record size in memory484.1 B

Variable types

Categorical16
Text6
DateTime5
Unsupported20
Numeric9

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
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-16773/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화체육업종명 is highly imbalanced (66.1%)Imbalance
문화사업자구분명 is highly imbalanced (66.1%)Imbalance
주변환경명 is highly imbalanced (74.7%)Imbalance
건물용도명 is highly imbalanced (71.5%)Imbalance
통로너비 is highly imbalanced (93.7%)Imbalance
조명시설조도 is highly imbalanced (93.7%)Imbalance
노래방실수 is highly imbalanced (93.7%)Imbalance
청소년실수 is highly imbalanced (93.7%)Imbalance
제공게임물명 is highly imbalanced (67.2%)Imbalance
지역구분명 is highly imbalanced (78.4%)Imbalance
인허가취소일자 has 849 (89.1%) missing valuesMissing
폐업일자 has 465 (48.8%) missing valuesMissing
휴업시작일자 has 953 (100.0%) missing valuesMissing
휴업종료일자 has 953 (100.0%) missing valuesMissing
재개업일자 has 953 (100.0%) missing valuesMissing
전화번호 has 525 (55.1%) missing valuesMissing
소재지면적 has 953 (100.0%) missing valuesMissing
소재지우편번호 has 579 (60.8%) missing valuesMissing
도로명주소 has 27 (2.8%) missing valuesMissing
도로명우편번호 has 619 (65.0%) missing valuesMissing
업태구분명 has 953 (100.0%) missing valuesMissing
총층수 has 543 (57.0%) missing valuesMissing
제작취급품목내용 has 932 (97.8%) missing valuesMissing
시설면적 has 61 (6.4%) missing valuesMissing
지상층수 has 342 (35.9%) missing valuesMissing
지하층수 has 518 (54.4%) missing valuesMissing
비상계단여부 has 953 (100.0%) missing valuesMissing
비상구여부 has 953 (100.0%) missing valuesMissing
자동환기여부 has 953 (100.0%) missing valuesMissing
청소년실여부 has 953 (100.0%) missing valuesMissing
특수조명여부 has 953 (100.0%) missing valuesMissing
방음시설여부 has 953 (100.0%) missing valuesMissing
비디오재생기명 has 953 (100.0%) missing valuesMissing
조명시설유무 has 953 (100.0%) missing valuesMissing
음향시설여부 has 953 (100.0%) missing valuesMissing
편의시설여부 has 953 (100.0%) missing valuesMissing
소방시설여부 has 953 (100.0%) missing valuesMissing
총게임기수 has 669 (70.2%) missing valuesMissing
기존게임업외업종명 has 953 (100.0%) missing valuesMissing
공연장형태구분명 has 953 (100.0%) missing valuesMissing
품목명 has 953 (100.0%) missing valuesMissing
최초등록시점 has 953 (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
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 215 (22.6%) zerosZeros
시설면적 has 229 (24.0%) zerosZeros
지상층수 has 208 (21.8%) zerosZeros
지하층수 has 216 (22.7%) zerosZeros

Reproduction

Analysis started2024-05-11 06:41:11.600357
Analysis finished2024-05-11 06:41:13.846037
Duration2.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
3060000
953 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3060000
2nd row3060000
3rd row3060000
4th row3060000
5th row3060000

Common Values

ValueCountFrequency (%)
3060000 953
100.0%

Length

2024-05-11T15:41:13.962718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:41:14.125286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 953
100.0%

관리번호
Text

UNIQUE 

Distinct953
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
2024-05-11T15:41:14.415172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters19060
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

Unique953 ?
Unique (%)100.0%

Sample

1st rowCDFF2241021999000001
2nd rowCDFF2241021999000002
3rd rowCDFF2241021999000003
4th rowCDFF2241021999000004
5th rowCDFF2241021999000005
ValueCountFrequency (%)
cdff2241021999000001 1
 
0.1%
cdff2241022011000006 1
 
0.1%
cdff2241022011000008 1
 
0.1%
cdff2241022010000033 1
 
0.1%
cdff2241022010000034 1
 
0.1%
cdff2241022010000035 1
 
0.1%
cdff2241022010000036 1
 
0.1%
cdff2241022010000037 1
 
0.1%
cdff2241022010000038 1
 
0.1%
cdff2241022011000001 1
 
0.1%
Other values (943) 943
99.0%
2024-05-11T15:41:14.948712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6307
33.1%
2 4012
21.0%
1 2002
 
10.5%
F 1906
 
10.0%
4 1153
 
6.0%
C 953
 
5.0%
D 953
 
5.0%
9 609
 
3.2%
8 326
 
1.7%
3 251
 
1.3%
Other values (3) 588
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15248
80.0%
Uppercase Letter 3812
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6307
41.4%
2 4012
26.3%
1 2002
 
13.1%
4 1153
 
7.6%
9 609
 
4.0%
8 326
 
2.1%
3 251
 
1.6%
7 233
 
1.5%
5 182
 
1.2%
6 173
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
F 1906
50.0%
C 953
25.0%
D 953
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15248
80.0%
Latin 3812
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6307
41.4%
2 4012
26.3%
1 2002
 
13.1%
4 1153
 
7.6%
9 609
 
4.0%
8 326
 
2.1%
3 251
 
1.6%
7 233
 
1.5%
5 182
 
1.2%
6 173
 
1.1%
Latin
ValueCountFrequency (%)
F 1906
50.0%
C 953
25.0%
D 953
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19060
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6307
33.1%
2 4012
21.0%
1 2002
 
10.5%
F 1906
 
10.0%
4 1153
 
6.0%
C 953
 
5.0%
D 953
 
5.0%
9 609
 
3.2%
8 326
 
1.7%
3 251
 
1.3%
Other values (3) 588
 
3.1%

인허가일자
Date

Distinct655
Distinct (%)68.7%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
Minimum1999-06-01 00:00:00
Maximum2023-12-22 00:00:00
2024-05-11T15:41:15.175687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:41:15.713563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct89
Distinct (%)85.6%
Missing849
Missing (%)89.1%
Memory size7.6 KiB
Minimum2008-04-07 00:00:00
Maximum2023-06-14 00:00:00
2024-05-11T15:41:15.942149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:41:16.167820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
3
378 
1
355 
4
220 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 378
39.7%
1 355
37.3%
4 220
23.1%

Length

2024-05-11T15:41:16.349243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:41:16.460940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 378
39.7%
1 355
37.3%
4 220
23.1%

영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
폐업
378 
영업/정상
355 
취소/말소/만료/정지/중지
220 

Length

Max length14
Median length5
Mean length5.887723
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 378
39.7%
영업/정상 355
37.3%
취소/말소/만료/정지/중지 220
23.1%

Length

2024-05-11T15:41:16.597438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:41:16.749945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 378
39.7%
영업/정상 355
37.3%
취소/말소/만료/정지/중지 220
23.1%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
3
377 
13
355 
35
110 
31
110 
34
 
1

Length

Max length2
Median length2
Mean length1.6044071
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
3 377
39.6%
13 355
37.3%
35 110
 
11.5%
31 110
 
11.5%
34 1
 
0.1%

Length

2024-05-11T15:41:16.922191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:41:17.070726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 377
39.6%
13 355
37.3%
35 110
 
11.5%
31 110
 
11.5%
34 1
 
0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
폐업
377 
영업중
355 
직권말소
110 
등록취소
110 
영업장폐쇄
 
1

Length

Max length5
Median length4
Mean length2.8373557
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 377
39.6%
영업중 355
37.3%
직권말소 110
 
11.5%
등록취소 110
 
11.5%
영업장폐쇄 1
 
0.1%

Length

2024-05-11T15:41:17.265568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:41:17.460419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 377
39.6%
영업중 355
37.3%
직권말소 110
 
11.5%
등록취소 110
 
11.5%
영업장폐쇄 1
 
0.1%

폐업일자
Date

MISSING 

Distinct357
Distinct (%)73.2%
Missing465
Missing (%)48.8%
Memory size7.6 KiB
Minimum1999-12-15 00:00:00
Maximum2024-05-07 00:00:00
2024-05-11T15:41:17.646991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:41:17.857940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing953
Missing (%)100.0%
Memory size8.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing953
Missing (%)100.0%
Memory size8.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing953
Missing (%)100.0%
Memory size8.5 KiB

전화번호
Text

MISSING 

Distinct424
Distinct (%)99.1%
Missing525
Missing (%)55.1%
Memory size7.6 KiB
2024-05-11T15:41:18.295997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.7336449
Min length8

Characters and Unicode

Total characters3738
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

Unique421 ?
Unique (%)98.4%

Sample

1st row436-7591
2nd row2208-0937
3rd row979-3394
4th row2207-4192
5th row494-0301
ValueCountFrequency (%)
436-7591 3
 
0.7%
491-1681 2
 
0.5%
493-8145 2
 
0.5%
02-6414-7426 1
 
0.2%
496-5417 1
 
0.2%
437-2779 1
 
0.2%
493-1772 1
 
0.2%
495-5720 1
 
0.2%
2207-2863 1
 
0.2%
438-5808 1
 
0.2%
Other values (414) 414
96.7%
2024-05-11T15:41:18.926059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 512
13.7%
- 496
13.3%
2 446
11.9%
3 406
10.9%
9 383
10.2%
0 316
8.5%
7 283
7.6%
5 240
6.4%
8 237
6.3%
1 212
5.7%
Other values (3) 207
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3239
86.7%
Dash Punctuation 496
 
13.3%
Close Punctuation 2
 
0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 512
15.8%
2 446
13.8%
3 406
12.5%
9 383
11.8%
0 316
9.8%
7 283
8.7%
5 240
7.4%
8 237
7.3%
1 212
6.5%
6 204
 
6.3%
Dash Punctuation
ValueCountFrequency (%)
- 496
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3738
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 512
13.7%
- 496
13.3%
2 446
11.9%
3 406
10.9%
9 383
10.2%
0 316
8.5%
7 283
7.6%
5 240
6.4%
8 237
6.3%
1 212
5.7%
Other values (3) 207
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3738
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 512
13.7%
- 496
13.3%
2 446
11.9%
3 406
10.9%
9 383
10.2%
0 316
8.5%
7 283
7.6%
5 240
6.4%
8 237
6.3%
1 212
5.7%
Other values (3) 207
5.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing953
Missing (%)100.0%
Memory size8.5 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)16.3%
Missing579
Missing (%)60.8%
Infinite0
Infinite (%)0.0%
Mean131838.35
Minimum131781
Maximum131883
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2024-05-11T15:41:19.218471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum131781
5-th percentile131804
Q1131814
median131831
Q3131860
95-th percentile131881
Maximum131883
Range102
Interquartile range (IQR)46

Descriptive statistics

Standard deviation25.864714
Coefficient of variation (CV)0.00019618506
Kurtosis-1.3188909
Mean131838.35
Median Absolute Deviation (MAD)21
Skewness0.21831357
Sum49307542
Variance668.98341
MonotonicityNot monotonic
2024-05-11T15:41:19.523644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
131811 23
 
2.4%
131881 20
 
2.1%
131859 18
 
1.9%
131848 15
 
1.6%
131860 13
 
1.4%
131852 13
 
1.4%
131809 12
 
1.3%
131868 12
 
1.3%
131828 12
 
1.3%
131820 11
 
1.2%
Other values (51) 225
 
23.6%
(Missing) 579
60.8%
ValueCountFrequency (%)
131781 1
 
0.1%
131783 1
 
0.1%
131800 1
 
0.1%
131802 9
0.9%
131803 2
 
0.2%
131804 6
0.6%
131806 3
 
0.3%
131807 2
 
0.2%
131808 4
 
0.4%
131809 12
1.3%
ValueCountFrequency (%)
131883 2
 
0.2%
131882 3
 
0.3%
131881 20
2.1%
131880 7
 
0.7%
131879 3
 
0.3%
131878 6
 
0.6%
131877 3
 
0.3%
131876 3
 
0.3%
131875 2
 
0.2%
131869 1
 
0.1%

지번주소
Text

Distinct900
Distinct (%)94.5%
Missing1
Missing (%)0.1%
Memory size7.6 KiB
2024-05-11T15:41:19.897565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length42
Mean length25.193277
Min length18

Characters and Unicode

Total characters23984
Distinct characters178
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

Unique852 ?
Unique (%)89.5%

Sample

1st row서울특별시 중랑구 면목동 156-1번지
2nd row서울특별시 중랑구 면목동 637-5번지
3rd row서울특별시 중랑구 묵동 238-23번지
4th row서울특별시 중랑구 망우동 506-16번지
5th row서울특별시 중랑구 면목동 147-17번지
ValueCountFrequency (%)
서울특별시 952
21.4%
중랑구 952
21.4%
면목동 360
 
8.1%
상봉동 181
 
4.1%
지상2층 140
 
3.1%
망우동 136
 
3.1%
중화동 116
 
2.6%
묵동 113
 
2.5%
지하1층 76
 
1.7%
2층 76
 
1.7%
Other values (853) 1348
30.3%
2024-05-11T15:41:20.426146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4372
18.2%
지 1198
 
5.0%
1 1152
 
4.8%
중 1070
 
4.5%
동 970
 
4.0%
시 960
 
4.0%
구 955
 
4.0%
랑 954
 
4.0%
울 953
 
4.0%
서 952
 
4.0%
Other values (168) 10448
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13740
57.3%
Decimal Number 4902
 
20.4%
Space Separator 4372
 
18.2%
Dash Punctuation 917
 
3.8%
Uppercase Letter 21
 
0.1%
Other Punctuation 14
 
0.1%
Open Punctuation 8
 
< 0.1%
Close Punctuation 8
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 1198
 
8.7%
중 1070
 
7.8%
동 970
 
7.1%
시 960
 
7.0%
구 955
 
7.0%
랑 954
 
6.9%
울 953
 
6.9%
서 952
 
6.9%
별 952
 
6.9%
특 952
 
6.9%
Other values (144) 3824
27.8%
Decimal Number
ValueCountFrequency (%)
1 1152
23.5%
2 715
14.6%
3 565
11.5%
4 484
9.9%
0 392
 
8.0%
6 387
 
7.9%
5 374
 
7.6%
8 290
 
5.9%
7 286
 
5.8%
9 257
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
S 7
33.3%
B 5
23.8%
A 3
14.3%
L 2
 
9.5%
G 2
 
9.5%
K 1
 
4.8%
D 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 13
92.9%
/ 1
 
7.1%
Space Separator
ValueCountFrequency (%)
4372
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 917
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13740
57.3%
Common 10223
42.6%
Latin 21
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 1198
 
8.7%
중 1070
 
7.8%
동 970
 
7.1%
시 960
 
7.0%
구 955
 
7.0%
랑 954
 
6.9%
울 953
 
6.9%
서 952
 
6.9%
별 952
 
6.9%
특 952
 
6.9%
Other values (144) 3824
27.8%
Common
ValueCountFrequency (%)
4372
42.8%
1 1152
 
11.3%
- 917
 
9.0%
2 715
 
7.0%
3 565
 
5.5%
4 484
 
4.7%
0 392
 
3.8%
6 387
 
3.8%
5 374
 
3.7%
8 290
 
2.8%
Other values (7) 575
 
5.6%
Latin
ValueCountFrequency (%)
S 7
33.3%
B 5
23.8%
A 3
14.3%
L 2
 
9.5%
G 2
 
9.5%
K 1
 
4.8%
D 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13740
57.3%
ASCII 10244
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4372
42.7%
1 1152
 
11.2%
- 917
 
9.0%
2 715
 
7.0%
3 565
 
5.5%
4 484
 
4.7%
0 392
 
3.8%
6 387
 
3.8%
5 374
 
3.7%
8 290
 
2.8%
Other values (14) 596
 
5.8%
Hangul
ValueCountFrequency (%)
지 1198
 
8.7%
중 1070
 
7.8%
동 970
 
7.1%
시 960
 
7.0%
구 955
 
7.0%
랑 954
 
6.9%
울 953
 
6.9%
서 952
 
6.9%
별 952
 
6.9%
특 952
 
6.9%
Other values (144) 3824
27.8%

도로명주소
Text

MISSING 

Distinct887
Distinct (%)95.8%
Missing27
Missing (%)2.8%
Memory size7.6 KiB
2024-05-11T15:41:20.934003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length50
Mean length28.708423
Min length21

Characters and Unicode

Total characters26584
Distinct characters195
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

Unique851 ?
Unique (%)91.9%

Sample

1st row서울특별시 중랑구 사가정로39길 79 (면목동)
2nd row서울특별시 중랑구 사가정로50길 6 (면목동)
3rd row서울특별시 중랑구 동일로163길 18 (묵동)
4th row서울특별시 중랑구 상봉로 108 (망우동)
5th row서울특별시 중랑구 겸재로 117 (면목동)
ValueCountFrequency (%)
서울특별시 926
 
18.5%
중랑구 926
 
18.5%
면목동 212
 
4.2%
상봉동 110
 
2.2%
1층 96
 
1.9%
망우동 81
 
1.6%
용마산로 75
 
1.5%
중화동 74
 
1.5%
중랑역로 72
 
1.4%
묵동 70
 
1.4%
Other values (651) 2361
47.2%
2024-05-11T15:41:21.779048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4550
 
17.1%
중 1163
 
4.4%
동 1064
 
4.0%
랑 1039
 
3.9%
1 937
 
3.5%
시 936
 
3.5%
) 933
 
3.5%
( 933
 
3.5%
구 929
 
3.5%
울 927
 
3.5%
Other values (185) 13173
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15506
58.3%
Space Separator 4550
 
17.1%
Decimal Number 3892
 
14.6%
Close Punctuation 933
 
3.5%
Open Punctuation 933
 
3.5%
Other Punctuation 690
 
2.6%
Dash Punctuation 51
 
0.2%
Uppercase Letter 24
 
0.1%
Math Symbol 3
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 1163
 
7.5%
동 1064
 
6.9%
랑 1039
 
6.7%
시 936
 
6.0%
구 929
 
6.0%
울 927
 
6.0%
로 926
 
6.0%
서 926
 
6.0%
별 926
 
6.0%
특 926
 
6.0%
Other values (160) 5744
37.0%
Decimal Number
ValueCountFrequency (%)
1 937
24.1%
2 725
18.6%
3 474
12.2%
4 356
 
9.1%
5 285
 
7.3%
9 272
 
7.0%
0 254
 
6.5%
6 222
 
5.7%
8 201
 
5.2%
7 166
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
B 10
41.7%
S 8
33.3%
L 2
 
8.3%
G 2
 
8.3%
K 1
 
4.2%
D 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 689
99.9%
/ 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
p 1
50.0%
Space Separator
ValueCountFrequency (%)
4550
100.0%
Close Punctuation
ValueCountFrequency (%)
) 933
100.0%
Open Punctuation
ValueCountFrequency (%)
( 933
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15506
58.3%
Common 11052
41.6%
Latin 26
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 1163
 
7.5%
동 1064
 
6.9%
랑 1039
 
6.7%
시 936
 
6.0%
구 929
 
6.0%
울 927
 
6.0%
로 926
 
6.0%
서 926
 
6.0%
별 926
 
6.0%
특 926
 
6.0%
Other values (160) 5744
37.0%
Common
ValueCountFrequency (%)
4550
41.2%
1 937
 
8.5%
) 933
 
8.4%
( 933
 
8.4%
2 725
 
6.6%
, 689
 
6.2%
3 474
 
4.3%
4 356
 
3.2%
5 285
 
2.6%
9 272
 
2.5%
Other values (7) 898
 
8.1%
Latin
ValueCountFrequency (%)
B 10
38.5%
S 8
30.8%
L 2
 
7.7%
G 2
 
7.7%
K 1
 
3.8%
D 1
 
3.8%
c 1
 
3.8%
p 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15506
58.3%
ASCII 11078
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4550
41.1%
1 937
 
8.5%
) 933
 
8.4%
( 933
 
8.4%
2 725
 
6.5%
, 689
 
6.2%
3 474
 
4.3%
4 356
 
3.2%
5 285
 
2.6%
9 272
 
2.5%
Other values (15) 924
 
8.3%
Hangul
ValueCountFrequency (%)
중 1163
 
7.5%
동 1064
 
6.9%
랑 1039
 
6.7%
시 936
 
6.0%
구 929
 
6.0%
울 927
 
6.0%
로 926
 
6.0%
서 926
 
6.0%
별 926
 
6.0%
특 926
 
6.0%
Other values (160) 5744
37.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct132
Distinct (%)39.5%
Missing619
Missing (%)65.0%
Infinite0
Infinite (%)0.0%
Mean25818.967
Minimum2002
Maximum131883
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2024-05-11T15:41:22.071605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2002
5-th percentile2007
Q12119.25
median2163
Q32220.5
95-th percentile131859
Maximum131883
Range129881
Interquartile range (IQR)101.25

Descriptive statistics

Standard deviation50173.653
Coefficient of variation (CV)1.9432866
Kurtosis0.7276379
Mean25818.967
Median Absolute Deviation (MAD)52.5
Skewness1.6502408
Sum8623535
Variance2.5173955 × 109
MonotonicityNot monotonic
2024-05-11T15:41:22.332961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2120 10
 
1.0%
131859 10
 
1.0%
2163 10
 
1.0%
2152 8
 
0.8%
2136 8
 
0.8%
2104 7
 
0.7%
2165 7
 
0.7%
2137 7
 
0.7%
2007 6
 
0.6%
2169 6
 
0.6%
Other values (122) 255
26.8%
(Missing) 619
65.0%
ValueCountFrequency (%)
2002 2
 
0.2%
2003 3
0.3%
2005 4
0.4%
2006 3
0.3%
2007 6
0.6%
2014 2
 
0.2%
2016 4
0.4%
2017 1
 
0.1%
2019 1
 
0.1%
2024 1
 
0.1%
ValueCountFrequency (%)
131883 2
 
0.2%
131881 2
 
0.2%
131880 3
 
0.3%
131877 1
 
0.1%
131867 2
 
0.2%
131862 1
 
0.1%
131861 3
 
0.3%
131860 2
 
0.2%
131859 10
1.0%
131858 1
 
0.1%

사업장명
Text

Distinct824
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
2024-05-11T15:41:22.774363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length6.3011542
Min length2

Characters and Unicode

Total characters6005
Distinct characters443
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique748 ?
Unique (%)78.5%

Sample

1st rowPC게임방아지트
2nd row매니아클럽
3rd row사이버넷
4th rowPC마스터
5th row인터넷KJ
ValueCountFrequency (%)
pc방 70
 
5.9%
pc 49
 
4.1%
대박pc 14
 
1.2%
pc클럽 12
 
1.0%
에이스pc 7
 
0.6%
zone 6
 
0.5%
p.c방 6
 
0.5%
바닐라pc 6
 
0.5%
바닐라pc방 6
 
0.5%
클릭 5
 
0.4%
Other values (841) 1004
84.7%
2024-05-11T15:41:23.452891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 694
 
11.6%
P 679
 
11.3%
방 421
 
7.0%
233
 
3.9%
이 201
 
3.3%
스 140
 
2.3%
터 117
 
1.9%
인 114
 
1.9%
넷 111
 
1.8%
아 93
 
1.5%
Other values (433) 3202
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3788
63.1%
Uppercase Letter 1638
27.3%
Space Separator 233
 
3.9%
Lowercase Letter 159
 
2.6%
Open Punctuation 50
 
0.8%
Close Punctuation 50
 
0.8%
Decimal Number 49
 
0.8%
Other Punctuation 26
 
0.4%
Dash Punctuation 10
 
0.2%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 421
 
11.1%
이 201
 
5.3%
스 140
 
3.7%
터 117
 
3.1%
인 114
 
3.0%
넷 111
 
2.9%
아 93
 
2.5%
피 82
 
2.2%
라 76
 
2.0%
드 73
 
1.9%
Other values (361) 2360
62.3%
Uppercase Letter
ValueCountFrequency (%)
C 694
42.4%
P 679
41.5%
E 32
 
2.0%
N 30
 
1.8%
A 26
 
1.6%
I 18
 
1.1%
O 17
 
1.0%
J 16
 
1.0%
U 12
 
0.7%
S 12
 
0.7%
Other values (15) 102
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
e 22
13.8%
c 19
11.9%
p 16
10.1%
n 12
 
7.5%
a 11
 
6.9%
i 10
 
6.3%
o 9
 
5.7%
t 8
 
5.0%
u 7
 
4.4%
r 6
 
3.8%
Other values (14) 39
24.5%
Decimal Number
ValueCountFrequency (%)
1 13
26.5%
2 11
22.4%
0 8
16.3%
8 7
14.3%
4 4
 
8.2%
7 2
 
4.1%
5 2
 
4.1%
3 1
 
2.0%
9 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 12
46.2%
@ 5
19.2%
! 3
 
11.5%
& 2
 
7.7%
＆ 1
 
3.8%
? 1
 
3.8%
' 1
 
3.8%
% 1
 
3.8%
Space Separator
ValueCountFrequency (%)
233
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3788
63.1%
Latin 1798
29.9%
Common 419
 
7.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 421
 
11.1%
이 201
 
5.3%
스 140
 
3.7%
터 117
 
3.1%
인 114
 
3.0%
넷 111
 
2.9%
아 93
 
2.5%
피 82
 
2.2%
라 76
 
2.0%
드 73
 
1.9%
Other values (361) 2360
62.3%
Latin
ValueCountFrequency (%)
C 694
38.6%
P 679
37.8%
E 32
 
1.8%
N 30
 
1.7%
A 26
 
1.4%
e 22
 
1.2%
c 19
 
1.1%
I 18
 
1.0%
O 17
 
0.9%
J 16
 
0.9%
Other values (40) 245
 
13.6%
Common
ValueCountFrequency (%)
233
55.6%
( 50
 
11.9%
) 50
 
11.9%
1 13
 
3.1%
. 12
 
2.9%
2 11
 
2.6%
- 10
 
2.4%
0 8
 
1.9%
8 7
 
1.7%
@ 5
 
1.2%
Other values (12) 20
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3788
63.1%
ASCII 2215
36.9%
Number Forms 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 694
31.3%
P 679
30.7%
233
 
10.5%
( 50
 
2.3%
) 50
 
2.3%
E 32
 
1.4%
N 30
 
1.4%
A 26
 
1.2%
e 22
 
1.0%
c 19
 
0.9%
Other values (60) 380
17.2%
Hangul
ValueCountFrequency (%)
방 421
 
11.1%
이 201
 
5.3%
스 140
 
3.7%
터 117
 
3.1%
인 114
 
3.0%
넷 111
 
2.9%
아 93
 
2.5%
피 82
 
2.2%
라 76
 
2.0%
드 73
 
1.9%
Other values (361) 2360
62.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
None
ValueCountFrequency (%)
＆ 1
100.0%

최종수정일자
Date

Distinct646
Distinct (%)67.8%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
Minimum2003-04-18 17:03:26
Maximum2024-05-07 14:59:06
2024-05-11T15:41:23.698919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:41:23.955653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
I
741 
U
212 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 741
77.8%
U 212
 
22.2%

Length

2024-05-11T15:41:24.168507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:41:24.319357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 741
77.8%
u 212
 
22.2%

데이터갱신일자
Date

Distinct172
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T15:41:24.526391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:41:24.750250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing953
Missing (%)100.0%
Memory size8.5 KiB

좌표정보(X)
Real number (ℝ)

Distinct676
Distinct (%)71.5%
Missing7
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean207575.46
Minimum206282
Maximum209480.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2024-05-11T15:41:24.971390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206282
5-th percentile206609.65
Q1206848.18
median207591.19
Q3208177.87
95-th percentile208767.42
Maximum209480.18
Range3198.1879
Interquartile range (IQR)1329.6914

Descriptive statistics

Standard deviation743.71983
Coefficient of variation (CV)0.0035828889
Kurtosis-1.07991
Mean207575.46
Median Absolute Deviation (MAD)691.14688
Skewness0.24522327
Sum1.9636639 × 108
Variance553119.19
MonotonicityNot monotonic
2024-05-11T15:41:25.185274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
208169.082030804 6
 
0.6%
208781.999418607 6
 
0.6%
208267.592391698 6
 
0.6%
206771.217305763 5
 
0.5%
208478.949850502 5
 
0.5%
207802.42045461 4
 
0.4%
207729.175659582 4
 
0.4%
206859.21503478 4
 
0.4%
207180.284052909 4
 
0.4%
208430.677480744 4
 
0.4%
Other values (666) 898
94.2%
(Missing) 7
 
0.7%
ValueCountFrequency (%)
206281.995703937 1
0.1%
206285.912434623 1
0.1%
206292.997292632 1
0.1%
206296.725620359 1
0.1%
206299.997077967 1
0.1%
206345.47354923 1
0.1%
206364.143012363 1
0.1%
206402.468320713 1
0.1%
206404.41703852 1
0.1%
206411.119094 1
0.1%
ValueCountFrequency (%)
209480.183651245 1
 
0.1%
209479.161719823 1
 
0.1%
209447.332233451 3
0.3%
209420.600469117 1
 
0.1%
209376.610753394 1
 
0.1%
209328.971331242 1
 
0.1%
209231.766994785 1
 
0.1%
209225.0060275 1
 
0.1%
209200.036845418 1
 
0.1%
209113.869071049 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

Distinct676
Distinct (%)71.5%
Missing7
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean454712.82
Minimum452081.67
Maximum457265.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2024-05-11T15:41:25.444875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452081.67
5-th percentile453066.32
Q1453959.77
median454718.75
Q3455300.41
95-th percentile456708.56
Maximum457265.67
Range5184.006
Interquartile range (IQR)1340.6363

Descriptive statistics

Standard deviation1096.5737
Coefficient of variation (CV)0.0024115743
Kurtosis-0.25259041
Mean454712.82
Median Absolute Deviation (MAD)667.37048
Skewness0.19802037
Sum4.3015832 × 108
Variance1202474
MonotonicityNot monotonic
2024-05-11T15:41:26.123138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
454796.281596123 6
 
0.6%
454740.62692431 6
 
0.6%
455042.983909137 6
 
0.6%
455221.989517331 5
 
0.5%
456167.614560351 5
 
0.5%
454826.558119207 4
 
0.4%
453342.232542102 4
 
0.4%
456654.831186357 4
 
0.4%
454364.979298808 4
 
0.4%
453944.188797295 4
 
0.4%
Other values (666) 898
94.2%
(Missing) 7
 
0.7%
ValueCountFrequency (%)
452081.666398687 1
0.1%
452134.332757901 1
0.1%
452145.516710041 1
0.1%
452147.286856634 1
0.1%
452163.883585036 1
0.1%
452180.142703177 2
0.2%
452204.843522781 1
0.1%
452208.886545884 1
0.1%
452218.427242593 1
0.1%
452262.08553905 1
0.1%
ValueCountFrequency (%)
457265.672362086 1
0.1%
457256.144723364 1
0.1%
457219.258635161 1
0.1%
457196.644834 1
0.1%
457161.235106711 1
0.1%
457150.626367535 1
0.1%
457134.652291135 1
0.1%
457131.629744466 1
0.1%
457119.275239846 2
0.2%
457111.582389183 1
0.1%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
인터넷컴퓨터게임시설제공업
893 
<NA>
 
60

Length

Max length13
Median length13
Mean length12.433368
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 893
93.7%
<NA> 60
 
6.3%

Length

2024-05-11T15:41:26.329911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:41:26.465737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 893
93.7%
na 60
 
6.3%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
유통관련업
893 
<NA>
 
60

Length

Max length5
Median length5
Mean length4.9370409
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 893
93.7%
<NA> 60
 
6.3%

Length

2024-05-11T15:41:26.626109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:41:26.805524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 893
93.7%
na 60
 
6.3%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)3.7%
Missing543
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean2.2731707
Minimum0
Maximum33
Zeros215
Zeros (%)22.6%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2024-05-11T15:41:26.943763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile6
Maximum33
Range33
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.0766114
Coefficient of variation (CV)1.3534449
Kurtosis25.045775
Mean2.2731707
Median Absolute Deviation (MAD)0
Skewness3.2202753
Sum932
Variance9.4655376
MonotonicityNot monotonic
2024-05-11T15:41:27.100828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 215
 
22.6%
4 55
 
5.8%
5 50
 
5.2%
3 33
 
3.5%
6 27
 
2.8%
2 11
 
1.2%
7 9
 
0.9%
10 2
 
0.2%
1 2
 
0.2%
9 1
 
0.1%
Other values (5) 5
 
0.5%
(Missing) 543
57.0%
ValueCountFrequency (%)
0 215
22.6%
1 2
 
0.2%
2 11
 
1.2%
3 33
 
3.5%
4 55
 
5.8%
5 50
 
5.2%
6 27
 
2.8%
7 9
 
0.9%
8 1
 
0.1%
9 1
 
0.1%
ValueCountFrequency (%)
33 1
 
0.1%
18 1
 
0.1%
15 1
 
0.1%
11 1
 
0.1%
10 2
 
0.2%
9 1
 
0.1%
8 1
 
0.1%
7 9
 
0.9%
6 27
2.8%
5 50
5.2%

주변환경명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
<NA>
867 
기타
 
73
주택가주변
 
8
유흥업소밀집지역
 
5

Length

Max length8
Median length4
Mean length3.8761805
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 867
91.0%
기타 73
 
7.7%
주택가주변 8
 
0.8%
유흥업소밀집지역 5
 
0.5%

Length

2024-05-11T15:41:27.326573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:41:27.514531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 867
91.0%
기타 73
 
7.7%
주택가주변 8
 
0.8%
유흥업소밀집지역 5
 
0.5%

제작취급품목내용
Text

MISSING 

Distinct15
Distinct (%)71.4%
Missing932
Missing (%)97.8%
Memory size7.6 KiB
2024-05-11T15:41:27.734755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length10
Mean length6.7619048
Min length2

Characters and Unicode

Total characters142
Distinct characters50
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)57.1%

Sample

1st rowPC
2nd rowPC
3rd row인터넷게임시설제공업
4th rowPC 96대
5th row온라인게임물(PC4대)
ValueCountFrequency (%)
맞고 9
22.5%
등 6
15.0%
pc 3
 
7.5%
전체이용가 3
 
7.5%
고스톱류 2
 
5.0%
게임 2
 
5.0%
인터넷게임시설제공업 1
 
2.5%
96대 1
 
2.5%
온라인게임물(pc4대 1
 
2.5%
바둑이,맞고,포카 1
 
2.5%
Other values (11) 11
27.5%
2024-05-11T15:41:28.231112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19
 
13.4%
고 14
 
9.9%
맞 11
 
7.7%
등 6
 
4.2%
이 6
 
4.2%
임 6
 
4.2%
게 6
 
4.2%
체 4
 
2.8%
전 4
 
2.8%
용 4
 
2.8%
Other values (40) 62
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 106
74.6%
Space Separator 19
 
13.4%
Uppercase Letter 10
 
7.0%
Decimal Number 3
 
2.1%
Other Punctuation 2
 
1.4%
Close Punctuation 1
 
0.7%
Open Punctuation 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
고 14
 
13.2%
맞 11
 
10.4%
등 6
 
5.7%
이 6
 
5.7%
임 6
 
5.7%
게 6
 
5.7%
체 4
 
3.8%
전 4
 
3.8%
용 4
 
3.8%
류 4
 
3.8%
Other values (29) 41
38.7%
Uppercase Letter
ValueCountFrequency (%)
P 4
40.0%
C 4
40.0%
V 1
 
10.0%
R 1
 
10.0%
Decimal Number
ValueCountFrequency (%)
4 1
33.3%
6 1
33.3%
9 1
33.3%
Space Separator
ValueCountFrequency (%)
19
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 106
74.6%
Common 26
 
18.3%
Latin 10
 
7.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
고 14
 
13.2%
맞 11
 
10.4%
등 6
 
5.7%
이 6
 
5.7%
임 6
 
5.7%
게 6
 
5.7%
체 4
 
3.8%
전 4
 
3.8%
용 4
 
3.8%
류 4
 
3.8%
Other values (29) 41
38.7%
Common
ValueCountFrequency (%)
19
73.1%
, 2
 
7.7%
) 1
 
3.8%
4 1
 
3.8%
( 1
 
3.8%
6 1
 
3.8%
9 1
 
3.8%
Latin
ValueCountFrequency (%)
P 4
40.0%
C 4
40.0%
V 1
 
10.0%
R 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 106
74.6%
ASCII 36
 
25.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19
52.8%
P 4
 
11.1%
C 4
 
11.1%
, 2
 
5.6%
V 1
 
2.8%
) 1
 
2.8%
4 1
 
2.8%
( 1
 
2.8%
6 1
 
2.8%
9 1
 
2.8%
Hangul
ValueCountFrequency (%)
고 14
 
13.2%
맞 11
 
10.4%
등 6
 
5.7%
이 6
 
5.7%
임 6
 
5.7%
게 6
 
5.7%
체 4
 
3.8%
전 4
 
3.8%
용 4
 
3.8%
류 4
 
3.8%
Other values (29) 41
38.7%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct531
Distinct (%)59.5%
Missing61
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean147.45363
Minimum0
Maximum4051.35
Zeros229
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2024-05-11T15:41:28.482983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median74.68
Q3162.8125
95-th percentile564.3135
Maximum4051.35
Range4051.35
Interquartile range (IQR)162.8125

Descriptive statistics

Standard deviation304.62818
Coefficient of variation (CV)2.0659252
Kurtosis78.069134
Mean147.45363
Median Absolute Deviation (MAD)74.68
Skewness7.4000194
Sum131528.64
Variance92798.326
MonotonicityNot monotonic
2024-05-11T15:41:28.704309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 229
 
24.0%
33.0 14
 
1.5%
30.0 12
 
1.3%
20.0 9
 
0.9%
25.0 6
 
0.6%
26.4 5
 
0.5%
16.0 5
 
0.5%
21.0 5
 
0.5%
23.0 5
 
0.5%
74.52 4
 
0.4%
Other values (521) 598
62.7%
(Missing) 61
 
6.4%
ValueCountFrequency (%)
0.0 229
24.0%
10.0 1
 
0.1%
13.0 1
 
0.1%
13.2 2
 
0.2%
15.0 2
 
0.2%
15.54 1
 
0.1%
16.0 5
 
0.5%
16.5 2
 
0.2%
16.59 1
 
0.1%
16.8 2
 
0.2%
ValueCountFrequency (%)
4051.35 1
0.1%
3786.96 1
0.1%
3765.72 1
0.1%
1963.77 1
0.1%
1699.1 1
0.1%
1589.0 1
0.1%
1542.24 1
0.1%
1473.44 1
0.1%
1218.76 1
0.1%
1143.4 1
0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)2.1%
Missing342
Missing (%)35.9%
Infinite0
Infinite (%)0.0%
Mean1.7184943
Minimum0
Maximum28
Zeros208
Zeros (%)21.8%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2024-05-11T15:41:28.880775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile5
Maximum28
Range28
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.0943253
Coefficient of variation (CV)1.2186979
Kurtosis43.630887
Mean1.7184943
Median Absolute Deviation (MAD)1
Skewness4.3692665
Sum1050
Variance4.3861984
MonotonicityNot monotonic
2024-05-11T15:41:29.087891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 208
21.8%
2 123
 
12.9%
1 116
 
12.2%
3 74
 
7.8%
4 47
 
4.9%
5 28
 
2.9%
6 7
 
0.7%
9 2
 
0.2%
7 2
 
0.2%
8 1
 
0.1%
Other values (3) 3
 
0.3%
(Missing) 342
35.9%
ValueCountFrequency (%)
0 208
21.8%
1 116
12.2%
2 123
12.9%
3 74
 
7.8%
4 47
 
4.9%
5 28
 
2.9%
6 7
 
0.7%
7 2
 
0.2%
8 1
 
0.1%
9 2
 
0.2%
ValueCountFrequency (%)
28 1
 
0.1%
15 1
 
0.1%
13 1
 
0.1%
9 2
 
0.2%
8 1
 
0.1%
7 2
 
0.2%
6 7
 
0.7%
5 28
 
2.9%
4 47
4.9%
3 74
7.8%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)1.4%
Missing518
Missing (%)54.4%
Infinite0
Infinite (%)0.0%
Mean0.54712644
Minimum0
Maximum5
Zeros216
Zeros (%)22.7%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2024-05-11T15:41:29.277409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6436215
Coefficient of variation (CV)1.176367
Kurtosis11.231287
Mean0.54712644
Median Absolute Deviation (MAD)1
Skewness2.1154724
Sum238
Variance0.41424864
MonotonicityNot monotonic
2024-05-11T15:41:29.461708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 216
22.7%
1 210
22.0%
2 4
 
0.4%
3 2
 
0.2%
5 2
 
0.2%
4 1
 
0.1%
(Missing) 518
54.4%
ValueCountFrequency (%)
0 216
22.7%
1 210
22.0%
2 4
 
0.4%
3 2
 
0.2%
4 1
 
0.1%
5 2
 
0.2%
ValueCountFrequency (%)
5 2
 
0.2%
4 1
 
0.1%
3 2
 
0.2%
2 4
 
0.4%
1 210
22.0%
0 216
22.7%

건물용도명
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
<NA>
737 
근린생활시설
199 
기타
 
8
판매시설
 
3
사무실
 
2
Other values (4)
 
4

Length

Max length8
Median length4
Mean length4.406086
Min length2

Unique

Unique4 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 737
77.3%
근린생활시설 199
 
20.9%
기타 8
 
0.8%
판매시설 3
 
0.3%
사무실 2
 
0.2%
시장(재래시장) 1
 
0.1%
사원아파트 1
 
0.1%
식품위생시설 1
 
0.1%
단독주택 1
 
0.1%

Length

2024-05-11T15:41:29.674612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:41:29.883587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 737
77.3%
근린생활시설 199
 
20.9%
기타 8
 
0.8%
판매시설 3
 
0.3%
사무실 2
 
0.2%
시장(재래시장 1
 
0.1%
사원아파트 1
 
0.1%
식품위생시설 1
 
0.1%
단독주택 1
 
0.1%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
<NA>
946 
0
 
7

Length

Max length4
Median length4
Mean length3.9779643
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> 946
99.3%
0 7
 
0.7%

Length

2024-05-11T15:41:30.097756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:41:30.255423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 946
99.3%
0 7
 
0.7%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
<NA>
946 
0
 
7

Length

Max length4
Median length4
Mean length3.9779643
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> 946
99.3%
0 7
 
0.7%

Length

2024-05-11T15:41:30.395086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:41:30.576019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 946
99.3%
0 7
 
0.7%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
<NA>
946 
0
 
7

Length

Max length4
Median length4
Mean length3.9779643
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> 946
99.3%
0 7
 
0.7%

Length

2024-05-11T15:41:30.737634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:41:30.883499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 946
99.3%
0 7
 
0.7%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
<NA>
946 
0
 
7

Length

Max length4
Median length4
Mean length3.9779643
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> 946
99.3%
0 7
 
0.7%

Length

2024-05-11T15:41:31.057618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:41:31.249177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 946
99.3%
0 7
 
0.7%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing953
Missing (%)100.0%
Memory size8.5 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing953
Missing (%)100.0%
Memory size8.5 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing953
Missing (%)100.0%
Memory size8.5 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing953
Missing (%)100.0%
Memory size8.5 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing953
Missing (%)100.0%
Memory size8.5 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing953
Missing (%)100.0%
Memory size8.5 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing953
Missing (%)100.0%
Memory size8.5 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing953
Missing (%)100.0%
Memory size8.5 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing953
Missing (%)100.0%
Memory size8.5 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing953
Missing (%)100.0%
Memory size8.5 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing953
Missing (%)100.0%
Memory size8.5 KiB

총게임기수
Real number (ℝ)

MISSING 

Distinct74
Distinct (%)26.1%
Missing669
Missing (%)70.2%
Infinite0
Infinite (%)0.0%
Mean32.711268
Minimum0
Maximum386
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2024-05-11T15:41:31.449883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q16
median9
Q350
95-th percentile102.7
Maximum386
Range386
Interquartile range (IQR)44

Descriptive statistics

Standard deviation46.510621
Coefficient of variation (CV)1.4218532
Kurtosis15.995113
Mean32.711268
Median Absolute Deviation (MAD)4
Skewness3.2733295
Sum9290
Variance2163.2379
MonotonicityNot monotonic
2024-05-11T15:41:31.706716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 47
 
4.9%
7 38
 
4.0%
8 22
 
2.3%
5 22
 
2.3%
10 14
 
1.5%
9 10
 
1.0%
30 9
 
0.9%
50 7
 
0.7%
80 6
 
0.6%
40 6
 
0.6%
Other values (64) 103
 
10.8%
(Missing) 669
70.2%
ValueCountFrequency (%)
0 1
 
0.1%
4 5
 
0.5%
5 22
2.3%
6 47
4.9%
7 38
4.0%
8 22
2.3%
9 10
 
1.0%
10 14
 
1.5%
11 2
 
0.2%
12 5
 
0.5%
ValueCountFrequency (%)
386 1
0.1%
288 1
0.1%
204 1
0.1%
200 2
0.2%
195 1
0.1%
191 1
0.1%
159 1
0.1%
155 1
0.1%
126 1
0.1%
120 1
0.1%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing953
Missing (%)100.0%
Memory size8.5 KiB

제공게임물명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
<NA>
858 
전체이용가
 
84
청소년이용불가
 
11

Length

Max length7
Median length4
Mean length4.1227702
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> 858
90.0%
전체이용가 84
 
8.8%
청소년이용불가 11
 
1.2%

Length

2024-05-11T15:41:31.951343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:41:32.110621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 858
90.0%
전체이용가 84
 
8.8%
청소년이용불가 11
 
1.2%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing953
Missing (%)100.0%
Memory size8.5 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing953
Missing (%)100.0%
Memory size8.5 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing953
Missing (%)100.0%
Memory size8.5 KiB

지역구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
<NA>
850 
근린상업지역
 
82
일반주거지역
 
14
주거지역
 
3
상업지역
 
2
Other values (2)
 
2

Length

Max length6
Median length4
Mean length4.204617
Min length4

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 850
89.2%
근린상업지역 82
 
8.6%
일반주거지역 14
 
1.5%
주거지역 3
 
0.3%
상업지역 2
 
0.2%
준주거지역 1
 
0.1%
일반상업지역 1
 
0.1%

Length

2024-05-11T15:41:32.306234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:41:32.491543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 850
89.2%
근린상업지역 82
 
8.6%
일반주거지역 14
 
1.5%
주거지역 3
 
0.3%
상업지역 2
 
0.2%
준주거지역 1
 
0.1%
일반상업지역 1
 
0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03060000CDFF224102199900000119990601<NA>3폐업3폐업20000818<NA><NA><NA>436-7591<NA>131821서울특별시 중랑구 면목동 156-1번지서울특별시 중랑구 사가정로39길 79 (면목동)<NA>PC게임방아지트2003-04-18 17:03:26I2018-08-31 23:59:59.0<NA>207258.11428453596.614118인터넷컴퓨터게임시설제공업유통관련업0주택가주변<NA>0.020<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13060000CDFF224102199900000219990609<NA>1영업/정상13영업중<NA><NA><NA><NA>2208-0937<NA>131828서울특별시 중랑구 면목동 637-5번지서울특별시 중랑구 사가정로50길 6 (면목동)<NA>매니아클럽2003-04-18 17:03:26I2018-08-31 23:59:59.0<NA>207554.95696453143.983101인터넷컴퓨터게임시설제공업유통관련업0<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>
23060000CDFF224102199900000319990610<NA>3폐업3폐업20150826<NA><NA><NA>979-3394<NA><NA>서울특별시 중랑구 묵동 238-23번지서울특별시 중랑구 동일로163길 18 (묵동)<NA>사이버넷2015-08-26 14:18:45I2018-08-31 23:59:59.0<NA>206663.263517456641.496653인터넷컴퓨터게임시설제공업유통관련업0<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>
33060000CDFF224102199900000419990610<NA>1영업/정상13영업중<NA><NA><NA><NA>2207-4192<NA>131809서울특별시 중랑구 망우동 506-16번지서울특별시 중랑구 상봉로 108 (망우동)<NA>PC마스터2003-04-18 17:03:26I2018-08-31 23:59:59.0<NA>208169.082031454796.281596인터넷컴퓨터게임시설제공업유통관련업0<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>
43060000CDFF224102199900000519990624<NA>1영업/정상13영업중<NA><NA><NA><NA>494-0301<NA>131820서울특별시 중랑구 면목동 147-17번지서울특별시 중랑구 겸재로 117 (면목동)<NA>인터넷KJ2003-04-18 17:03:26I2018-08-31 23:59:59.0<NA>207066.552696453862.390329인터넷컴퓨터게임시설제공업유통관련업0<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>
53060000CDFF224102199900000619990624<NA>3폐업3폐업20011210<NA><NA><NA>2208-3273<NA>131815서울특별시 중랑구 면목동 105-7번지서울특별시 중랑구 겸재로 194 (면목동)<NA>인터마니아2003-04-18 17:03:26I2018-08-31 23:59:59.0<NA>207798.292081454025.295222인터넷컴퓨터게임시설제공업유통관련업0<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>
63060000CDFF224102199900000719990625<NA>1영업/정상13영업중<NA><NA><NA><NA>436-9878<NA>131868서울특별시 중랑구 신내동 495-8번지서울특별시 중랑구 신내로 7 (신내동)<NA>인터넷캠프2003-04-18 17:03:26I2018-08-31 23:59:59.0<NA>208481.796117455288.173095인터넷컴퓨터게임시설제공업유통관련업0<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>
73060000CDFF224102199900000819990628<NA>1영업/정상13영업중<NA><NA><NA><NA>435-5122<NA>131823서울특별시 중랑구 면목동 184-16번지서울특별시 중랑구 동일로109길 34 (면목동)<NA>레트죤PC방2003-04-18 17:03:26I2018-08-31 23:59:59.0<NA>206826.362335454394.360247인터넷컴퓨터게임시설제공업유통관련업0<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>
83060000CDFF224102199900000919990628<NA>3폐업3폐업20011012<NA><NA><NA>974-1607<NA>131852서울특별시 중랑구 묵동 240-1번지서울특별시 중랑구 중랑역로 205 (묵동)<NA>컴토피아PC방2003-04-18 17:03:26I2018-08-31 23:59:59.0<NA>206604.835791456604.184486인터넷컴퓨터게임시설제공업유통관련업0<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>
93060000CDFF224102199900001019990701<NA>3폐업3폐업20000530<NA><NA><NA><NA><NA>131822서울특별시 중랑구 면목동 167-8번지서울특별시 중랑구 사가정로 333 (면목동)<NA>아담인터넷PC방2003-04-18 17:03:26I2018-08-31 23:59:59.0<NA>207146.528745453244.706062인터넷컴퓨터게임시설제공업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
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9443060000CDFF22410220230000082023-06-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 망우동 410-1 상아빌딩서울특별시 중랑구 용마산로 494, 상아빌딩 2층 203호 (망우동)2182크라우드PC방 망우점2023-06-23 10:37:14I2022-12-05 22:05:00.0<NA>208781.999419454740.626924<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9453060000CDFF22410220230000092023-07-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 1522 면목두산아파트서울특별시 중랑구 사가정로42길 70, 면목두산아파트 상가동 (면목동)2240파라PC2023-07-10 11:36:18I2022-12-06 23:03:00.0<NA>207196.812066452955.98208<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9463060000CDFF22410220230000102023-08-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 묵동 239-154서울특별시 중랑구 동일로163길 9, 2층 (묵동)2006땁PC2023-08-02 13:46:49I2022-12-08 00:04:00.0<NA>206709.862213456616.277869<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9473060000CDFF22410220230000112023-08-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 409-22서울특별시 중랑구 면목로56길 23, 1층 (면목동)2209공간PC2023-08-23 09:13:13I2022-12-07 22:05:00.0<NA>207866.9266453540.357124<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9483060000CDFF22410220230000122023-08-29<NA>3폐업3폐업2024-04-30<NA><NA><NA><NA><NA><NA>서울특별시 중랑구 망우동 506-16서울특별시 중랑구 상봉로 108, 2층 (망우동)2169로얄PC2024-04-30 14:32:42U2023-12-05 00:02:00.0<NA>208169.082031454796.281596<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9493060000CDFF22410220230000132023-10-16<NA>3폐업3폐업2024-01-10<NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 604-27서울특별시 중랑구 사가정로 385-1, 1층 (면목동)2228까망PC2024-01-10 15:54:57U2023-11-30 23:02:00.0<NA>207667.244145453187.464183<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9503060000CDFF22410220230000142023-11-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 496-16서울특별시 중랑구 면목로45길 3-8, 4층 (면목동)2228삼성PC2023-11-07 10:26:05I2022-11-01 00:09:00.0<NA>207720.341139453229.274393<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9513060000CDFF22410220230000152023-11-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 20-24 내친구피아노학원서울특별시 중랑구 겸재로64길 19, 내친구피아노학원 1층 (면목동)2201대박PC2023-11-30 15:04:06U2022-11-02 00:02:00.0<NA>208421.53861454132.417035<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9523060000CDFF22410220230000162023-12-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 망우동 508-6 더하이어서울특별시 중랑구 망우로58길 31, 201호 (망우동, 더하이어)2169NEX PC방2023-12-22 09:43:45I2022-11-01 22:04:00.0<NA>208240.11566454949.826093<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>