Overview

Dataset statistics

Number of variables56
Number of observations411
Missing cells10644
Missing cells (%)46.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory194.4 KiB
Average record size in memory484.3 B

Variable types

Categorical18
Text5
DateTime5
Unsupported20
Numeric8

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
Author노원구
URLhttps://data.seoul.go.kr/dataList/OA-16777/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화체육업종명 is highly imbalanced (54.0%)Imbalance
문화사업자구분명 is highly imbalanced (54.0%)Imbalance
제작취급품목내용 is highly imbalanced (85.8%)Imbalance
지하층수 is highly imbalanced (63.2%)Imbalance
통로너비 is highly imbalanced (87.6%)Imbalance
조명시설조도 is highly imbalanced (87.6%)Imbalance
노래방실수 is highly imbalanced (87.6%)Imbalance
청소년실수 is highly imbalanced (87.6%)Imbalance
인허가취소일자 has 389 (94.6%) missing valuesMissing
폐업일자 has 109 (26.5%) missing valuesMissing
휴업시작일자 has 411 (100.0%) missing valuesMissing
휴업종료일자 has 411 (100.0%) missing valuesMissing
재개업일자 has 411 (100.0%) missing valuesMissing
전화번호 has 406 (98.8%) missing valuesMissing
소재지면적 has 411 (100.0%) missing valuesMissing
소재지우편번호 has 350 (85.2%) missing valuesMissing
도로명주소 has 15 (3.6%) missing valuesMissing
도로명우편번호 has 185 (45.0%) missing valuesMissing
업태구분명 has 411 (100.0%) missing valuesMissing
좌표정보(X) has 6 (1.5%) missing valuesMissing
좌표정보(Y) has 6 (1.5%) missing valuesMissing
총층수 has 326 (79.3%) missing valuesMissing
시설면적 has 44 (10.7%) missing valuesMissing
지상층수 has 325 (79.1%) missing valuesMissing
비상계단여부 has 411 (100.0%) missing valuesMissing
비상구여부 has 411 (100.0%) missing valuesMissing
자동환기여부 has 411 (100.0%) missing valuesMissing
청소년실여부 has 411 (100.0%) missing valuesMissing
특수조명여부 has 411 (100.0%) missing valuesMissing
방음시설여부 has 411 (100.0%) missing valuesMissing
비디오재생기명 has 411 (100.0%) missing valuesMissing
조명시설유무 has 411 (100.0%) missing valuesMissing
음향시설여부 has 411 (100.0%) missing valuesMissing
편의시설여부 has 411 (100.0%) missing valuesMissing
소방시설여부 has 411 (100.0%) missing valuesMissing
총게임기수 has 263 (64.0%) missing valuesMissing
기존게임업외업종명 has 411 (100.0%) missing valuesMissing
공연장형태구분명 has 411 (100.0%) missing valuesMissing
품목명 has 411 (100.0%) missing valuesMissing
최초등록시점 has 411 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 05:31:21.515968
Analysis finished2024-05-11 05:31:22.819743
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
3100000
411 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3100000
2nd row3100000
3rd row3100000
4th row3100000
5th row3100000

Common Values

ValueCountFrequency (%)
3100000 411
100.0%

Length

2024-05-11T14:31:22.955380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:31:23.145048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3100000 411
100.0%

관리번호
Text

UNIQUE 

Distinct411
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-05-11T14:31:23.440932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters8220
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

Unique411 ?
Unique (%)100.0%

Sample

1st rowCDFF2241022007000001
2nd rowCDFF2241022007000002
3rd rowCDFF2241022007000003
4th rowCDFF2241022007000004
5th rowCDFF2241022007000005
ValueCountFrequency (%)
cdff2241022007000001 1
 
0.2%
cdff2241022013000007 1
 
0.2%
cdff2241022013000017 1
 
0.2%
cdff2241022013000016 1
 
0.2%
cdff2241022013000015 1
 
0.2%
cdff2241022013000014 1
 
0.2%
cdff2241022013000013 1
 
0.2%
cdff2241022013000012 1
 
0.2%
cdff2241022013000011 1
 
0.2%
cdff2241022013000010 1
 
0.2%
Other values (401) 401
97.6%
2024-05-11T14:31:24.042868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2870
34.9%
2 1756
21.4%
F 822
 
10.0%
1 782
 
9.5%
4 493
 
6.0%
C 411
 
5.0%
D 411
 
5.0%
8 179
 
2.2%
7 157
 
1.9%
9 94
 
1.1%
Other values (3) 245
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6576
80.0%
Uppercase Letter 1644
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2870
43.6%
2 1756
26.7%
1 782
 
11.9%
4 493
 
7.5%
8 179
 
2.7%
7 157
 
2.4%
9 94
 
1.4%
3 89
 
1.4%
6 79
 
1.2%
5 77
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
F 822
50.0%
C 411
25.0%
D 411
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6576
80.0%
Latin 1644
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2870
43.6%
2 1756
26.7%
1 782
 
11.9%
4 493
 
7.5%
8 179
 
2.7%
7 157
 
2.4%
9 94
 
1.4%
3 89
 
1.4%
6 79
 
1.2%
5 77
 
1.2%
Latin
ValueCountFrequency (%)
F 822
50.0%
C 411
25.0%
D 411
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8220
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2870
34.9%
2 1756
21.4%
F 822
 
10.0%
1 782
 
9.5%
4 493
 
6.0%
C 411
 
5.0%
D 411
 
5.0%
8 179
 
2.2%
7 157
 
1.9%
9 94
 
1.1%
Other values (3) 245
 
3.0%

인허가일자
Date

Distinct295
Distinct (%)71.8%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum2007-07-03 00:00:00
Maximum2023-12-22 00:00:00
2024-05-11T14:31:24.317867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:31:24.580959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct20
Distinct (%)90.9%
Missing389
Missing (%)94.6%
Memory size3.3 KiB
Minimum2007-11-30 00:00:00
Maximum2022-11-01 00:00:00
2024-05-11T14:31:24.770493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:31:24.968237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

영업상태코드
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
3
290 
1
86 
4
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 290
70.6%
1 86
 
20.9%
4 35
 
8.5%

Length

2024-05-11T14:31:25.188215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:31:25.378066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 290
70.6%
1 86
 
20.9%
4 35
 
8.5%

영업상태명
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
폐업
290 
영업/정상
86 
취소/말소/만료/정지/중지
35 

Length

Max length14
Median length2
Mean length3.649635
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 290
70.6%
영업/정상 86
 
20.9%
취소/말소/만료/정지/중지 35
 
8.5%

Length

2024-05-11T14:31:25.604841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:31:25.816538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 290
70.6%
영업/정상 86
 
20.9%
취소/말소/만료/정지/중지 35
 
8.5%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
3
290 
13
86 
31
 
23
35
 
12

Length

Max length2
Median length1
Mean length1.2944039
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 290
70.6%
13 86
 
20.9%
31 23
 
5.6%
35 12
 
2.9%

Length

2024-05-11T14:31:26.036383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:31:26.310464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 290
70.6%
13 86
 
20.9%
31 23
 
5.6%
35 12
 
2.9%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
폐업
290 
영업중
86 
등록취소
 
23
직권말소
 
12

Length

Max length4
Median length2
Mean length2.379562
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 290
70.6%
영업중 86
 
20.9%
등록취소 23
 
5.6%
직권말소 12
 
2.9%

Length

2024-05-11T14:31:26.553941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:31:26.761673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 290
70.6%
영업중 86
 
20.9%
등록취소 23
 
5.6%
직권말소 12
 
2.9%

폐업일자
Date

MISSING 

Distinct263
Distinct (%)87.1%
Missing109
Missing (%)26.5%
Memory size3.3 KiB
Minimum2008-03-10 00:00:00
Maximum2024-04-05 00:00:00
2024-05-11T14:31:26.978436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:31:27.226766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing411
Missing (%)100.0%
Memory size3.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing411
Missing (%)100.0%
Memory size3.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing411
Missing (%)100.0%
Memory size3.7 KiB

전화번호
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing406
Missing (%)98.8%
Memory size3.3 KiB
2024-05-11T14:31:27.465133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.6
Min length8

Characters and Unicode

Total characters53
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

Unique5 ?
Unique (%)100.0%

Sample

1st row02-938-2205
2nd row915-1171
3rd row02-952-7006
4th row02-931-6171
5th row02-3492-2967
ValueCountFrequency (%)
02-938-2205 1
20.0%
915-1171 1
20.0%
02-952-7006 1
20.0%
02-931-6171 1
20.0%
02-3492-2967 1
20.0%
2024-05-11T14:31:27.982659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 9
17.0%
- 9
17.0%
0 7
13.2%
1 7
13.2%
9 6
11.3%
7 4
7.5%
3 3
 
5.7%
5 3
 
5.7%
6 3
 
5.7%
8 1
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 44
83.0%
Dash Punctuation 9
 
17.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 9
20.5%
0 7
15.9%
1 7
15.9%
9 6
13.6%
7 4
9.1%
3 3
 
6.8%
5 3
 
6.8%
6 3
 
6.8%
8 1
 
2.3%
4 1
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 53
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 9
17.0%
- 9
17.0%
0 7
13.2%
1 7
13.2%
9 6
11.3%
7 4
7.5%
3 3
 
5.7%
5 3
 
5.7%
6 3
 
5.7%
8 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 53
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 9
17.0%
- 9
17.0%
0 7
13.2%
1 7
13.2%
9 6
11.3%
7 4
7.5%
3 3
 
5.7%
5 3
 
5.7%
6 3
 
5.7%
8 1
 
1.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing411
Missing (%)100.0%
Memory size3.7 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)42.6%
Missing350
Missing (%)85.2%
Infinite0
Infinite (%)0.0%
Mean139824.13
Minimum139731
Maximum139861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T14:31:28.218629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum139731
5-th percentile139800
Q1139808
median139821
Q3139845
95-th percentile139856
Maximum139861
Range130
Interquartile range (IQR)37

Descriptive statistics

Standard deviation25.675199
Coefficient of variation (CV)0.00018362495
Kurtosis3.869377
Mean139824.13
Median Absolute Deviation (MAD)17
Skewness-1.3660637
Sum8529272
Variance659.21585
MonotonicityNot monotonic
2024-05-11T14:31:28.430596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
139821 5
 
1.2%
139837 4
 
1.0%
139816 4
 
1.0%
139856 4
 
1.0%
139846 4
 
1.0%
139815 3
 
0.7%
139848 3
 
0.7%
139845 3
 
0.7%
139801 3
 
0.7%
139804 3
 
0.7%
Other values (16) 25
 
6.1%
(Missing) 350
85.2%
ValueCountFrequency (%)
139731 2
0.5%
139800 2
0.5%
139801 3
0.7%
139802 2
0.5%
139804 3
0.7%
139806 1
 
0.2%
139808 3
0.7%
139810 2
0.5%
139813 1
 
0.2%
139815 3
0.7%
ValueCountFrequency (%)
139861 1
 
0.2%
139860 2
0.5%
139856 4
1.0%
139848 3
0.7%
139847 1
 
0.2%
139846 4
1.0%
139845 3
0.7%
139841 2
0.5%
139838 1
 
0.2%
139837 4
1.0%

지번주소
Text

Distinct396
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-05-11T14:31:28.894809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length40
Mean length26.099757
Min length18

Characters and Unicode

Total characters10727
Distinct characters154
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

Unique382 ?
Unique (%)92.9%

Sample

1st row서울특별시 노원구 월계동 409-12번지 지하1층
2nd row서울특별시 노원구 중계동 143-11번지 우암에이스타워 205호
3rd row서울특별시 노원구 상계동 335번지 지층
4th row서울특별시 노원구 월계동 74-10번지
5th row서울특별시 노원구 상계동 591-23번지
ValueCountFrequency (%)
서울특별시 411
20.7%
노원구 411
20.7%
상계동 214
 
10.8%
공릉동 79
 
4.0%
월계동 69
 
3.5%
중계동 45
 
2.3%
지하1층 37
 
1.9%
2층 24
 
1.2%
지상2층 20
 
1.0%
1층 20
 
1.0%
Other values (496) 659
33.1%
2024-05-11T14:31:29.485036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1888
 
17.6%
1 526
 
4.9%
동 426
 
4.0%
지 419
 
3.9%
구 419
 
3.9%
원 415
 
3.9%
서 413
 
3.9%
시 413
 
3.9%
노 412
 
3.8%
별 411
 
3.8%
Other values (144) 4985
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6134
57.2%
Decimal Number 2266
 
21.1%
Space Separator 1888
 
17.6%
Dash Punctuation 356
 
3.3%
Other Punctuation 21
 
0.2%
Close Punctuation 20
 
0.2%
Open Punctuation 19
 
0.2%
Uppercase Letter 14
 
0.1%
Math Symbol 5
 
< 0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 426
 
6.9%
지 419
 
6.8%
구 419
 
6.8%
원 415
 
6.8%
서 413
 
6.7%
시 413
 
6.7%
노 412
 
6.7%
별 411
 
6.7%
특 411
 
6.7%
울 411
 
6.7%
Other values (121) 1984
32.3%
Decimal Number
ValueCountFrequency (%)
1 526
23.2%
2 301
13.3%
3 286
12.6%
4 222
9.8%
6 195
 
8.6%
0 185
 
8.2%
5 162
 
7.1%
9 138
 
6.1%
7 132
 
5.8%
8 119
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
B 11
78.6%
S 1
 
7.1%
K 1
 
7.1%
Y 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 19
90.5%
. 2
 
9.5%
Math Symbol
ValueCountFrequency (%)
~ 4
80.0%
+ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
1888
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 356
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6134
57.2%
Common 4575
42.6%
Latin 18
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 426
 
6.9%
지 419
 
6.8%
구 419
 
6.8%
원 415
 
6.8%
서 413
 
6.7%
시 413
 
6.7%
노 412
 
6.7%
별 411
 
6.7%
특 411
 
6.7%
울 411
 
6.7%
Other values (121) 1984
32.3%
Common
ValueCountFrequency (%)
1888
41.3%
1 526
 
11.5%
- 356
 
7.8%
2 301
 
6.6%
3 286
 
6.3%
4 222
 
4.9%
6 195
 
4.3%
0 185
 
4.0%
5 162
 
3.5%
9 138
 
3.0%
Other values (8) 316
 
6.9%
Latin
ValueCountFrequency (%)
B 11
61.1%
b 4
 
22.2%
S 1
 
5.6%
K 1
 
5.6%
Y 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6134
57.2%
ASCII 4593
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1888
41.1%
1 526
 
11.5%
- 356
 
7.8%
2 301
 
6.6%
3 286
 
6.2%
4 222
 
4.8%
6 195
 
4.2%
0 185
 
4.0%
5 162
 
3.5%
9 138
 
3.0%
Other values (13) 334
 
7.3%
Hangul
ValueCountFrequency (%)
동 426
 
6.9%
지 419
 
6.8%
구 419
 
6.8%
원 415
 
6.8%
서 413
 
6.7%
시 413
 
6.7%
노 412
 
6.7%
별 411
 
6.7%
특 411
 
6.7%
울 411
 
6.7%
Other values (121) 1984
32.3%

도로명주소
Text

MISSING 

Distinct386
Distinct (%)97.5%
Missing15
Missing (%)3.6%
Memory size3.3 KiB
2024-05-11T14:31:29.899328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length43
Mean length30.90404
Min length22

Characters and Unicode

Total characters12238
Distinct characters197
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

Unique376 ?
Unique (%)94.9%

Sample

1st row서울특별시 노원구 광운로 54 (월계동,지하1층)
2nd row서울특별시 노원구 상계로 76 (상계동,지층)
3rd row서울특별시 노원구 석계로9길 17 (월계동)
4th row서울특별시 노원구 상계로3길 35 (상계동)
5th row서울특별시 노원구 공릉로 131 (공릉동)
ValueCountFrequency (%)
서울특별시 396
 
16.8%
노원구 396
 
16.8%
상계동 166
 
7.1%
공릉동 67
 
2.8%
월계동 55
 
2.3%
지층 40
 
1.7%
2층 40
 
1.7%
중계동 39
 
1.7%
동일로 34
 
1.4%
상계로 30
 
1.3%
Other values (490) 1089
46.3%
2024-05-11T14:31:30.577200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2086
 
17.0%
동 508
 
4.2%
계 446
 
3.6%
1 437
 
3.6%
노 426
 
3.5%
원 417
 
3.4%
( 403
 
3.3%
) 403
 
3.3%
서 399
 
3.3%
구 399
 
3.3%
Other values (187) 6314
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7040
57.5%
Space Separator 2086
 
17.0%
Decimal Number 1876
 
15.3%
Open Punctuation 403
 
3.3%
Close Punctuation 403
 
3.3%
Other Punctuation 369
 
3.0%
Dash Punctuation 34
 
0.3%
Uppercase Letter 17
 
0.1%
Math Symbol 6
 
< 0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 508
 
7.2%
계 446
 
6.3%
노 426
 
6.1%
원 417
 
5.9%
서 399
 
5.7%
구 399
 
5.7%
시 398
 
5.7%
로 396
 
5.6%
울 396
 
5.6%
별 396
 
5.6%
Other values (160) 2859
40.6%
Decimal Number
ValueCountFrequency (%)
1 437
23.3%
2 346
18.4%
3 245
13.1%
4 176
9.4%
0 159
 
8.5%
5 116
 
6.2%
7 114
 
6.1%
8 96
 
5.1%
6 94
 
5.0%
9 93
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 10
58.8%
S 1
 
5.9%
Y 1
 
5.9%
K 1
 
5.9%
E 1
 
5.9%
N 1
 
5.9%
O 1
 
5.9%
A 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 367
99.5%
. 2
 
0.5%
Math Symbol
ValueCountFrequency (%)
~ 5
83.3%
+ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
2086
100.0%
Open Punctuation
ValueCountFrequency (%)
( 403
100.0%
Close Punctuation
ValueCountFrequency (%)
) 403
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7040
57.5%
Common 5177
42.3%
Latin 21
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 508
 
7.2%
계 446
 
6.3%
노 426
 
6.1%
원 417
 
5.9%
서 399
 
5.7%
구 399
 
5.7%
시 398
 
5.7%
로 396
 
5.6%
울 396
 
5.6%
별 396
 
5.6%
Other values (160) 2859
40.6%
Common
ValueCountFrequency (%)
2086
40.3%
1 437
 
8.4%
( 403
 
7.8%
) 403
 
7.8%
, 367
 
7.1%
2 346
 
6.7%
3 245
 
4.7%
4 176
 
3.4%
0 159
 
3.1%
5 116
 
2.2%
Other values (8) 439
 
8.5%
Latin
ValueCountFrequency (%)
B 10
47.6%
b 4
 
19.0%
S 1
 
4.8%
Y 1
 
4.8%
K 1
 
4.8%
E 1
 
4.8%
N 1
 
4.8%
O 1
 
4.8%
A 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7040
57.5%
ASCII 5198
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2086
40.1%
1 437
 
8.4%
( 403
 
7.8%
) 403
 
7.8%
, 367
 
7.1%
2 346
 
6.7%
3 245
 
4.7%
4 176
 
3.4%
0 159
 
3.1%
5 116
 
2.2%
Other values (17) 460
 
8.8%
Hangul
ValueCountFrequency (%)
동 508
 
7.2%
계 446
 
6.3%
노 426
 
6.1%
원 417
 
5.9%
서 399
 
5.7%
구 399
 
5.7%
시 398
 
5.7%
로 396
 
5.6%
울 396
 
5.6%
별 396
 
5.6%
Other values (160) 2859
40.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct97
Distinct (%)42.9%
Missing185
Missing (%)45.0%
Infinite0
Infinite (%)0.0%
Mean18215.761
Minimum1601
Maximum139865
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T14:31:30.760137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1601
5-th percentile1624.25
Q11676.75
median1751
Q31857
95-th percentile139818
Maximum139865
Range138264
Interquartile range (IQR)180.25

Descriptive statistics

Standard deviation44819.334
Coefficient of variation (CV)2.46047
Kurtosis3.6120199
Mean18215.761
Median Absolute Deviation (MAD)89
Skewness2.3622118
Sum4116762
Variance2.0087727 × 109
MonotonicityNot monotonic
2024-05-11T14:31:31.340058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1695 13
 
3.2%
1693 12
 
2.9%
1751 10
 
2.4%
1662 7
 
1.7%
1643 6
 
1.5%
1608 5
 
1.2%
1634 5
 
1.2%
1644 5
 
1.2%
1684 5
 
1.2%
1818 5
 
1.2%
Other values (87) 153
37.2%
(Missing) 185
45.0%
ValueCountFrequency (%)
1601 1
 
0.2%
1604 1
 
0.2%
1606 1
 
0.2%
1607 1
 
0.2%
1608 5
1.2%
1616 1
 
0.2%
1620 1
 
0.2%
1624 1
 
0.2%
1625 3
0.7%
1631 1
 
0.2%
ValueCountFrequency (%)
139865 1
 
0.2%
139861 1
 
0.2%
139856 2
0.5%
139847 1
 
0.2%
139841 3
0.7%
139838 1
 
0.2%
139832 1
 
0.2%
139830 1
 
0.2%
139818 2
0.5%
139816 1
 
0.2%

사업장명
Text

Distinct384
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-05-11T14:31:31.830936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length6.7591241
Min length2

Characters and Unicode

Total characters2778
Distinct characters332
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique361 ?
Unique (%)87.8%

Sample

1st rowG2 ZONE PC방
2nd row스피드존 PC방
3rd row마시멜로pc방
4th row존앤존pc방
5th row엔비디아존pc방
ValueCountFrequency (%)
pc방 109
 
17.3%
pc 31
 
4.9%
zone 8
 
1.3%
피씨방 6
 
1.0%
3pop 5
 
0.8%
대박pc 5
 
0.8%
아이닉스 3
 
0.5%
노원점 3
 
0.5%
광운대점 3
 
0.5%
스카이 3
 
0.5%
Other values (400) 455
72.1%
2024-05-11T14:31:32.642988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 288
 
10.4%
C 283
 
10.2%
방 248
 
8.9%
220
 
7.9%
이 85
 
3.1%
c 84
 
3.0%
p 83
 
3.0%
스 74
 
2.7%
점 44
 
1.6%
아 38
 
1.4%
Other values (322) 1331
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1618
58.2%
Uppercase Letter 679
24.4%
Space Separator 220
 
7.9%
Lowercase Letter 218
 
7.8%
Decimal Number 20
 
0.7%
Open Punctuation 10
 
0.4%
Close Punctuation 10
 
0.4%
Other Punctuation 2
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 248
 
15.3%
이 85
 
5.3%
스 74
 
4.6%
점 44
 
2.7%
아 38
 
2.3%
피 32
 
2.0%
존 29
 
1.8%
라 29
 
1.8%
드 25
 
1.5%
카 21
 
1.3%
Other values (270) 993
61.4%
Uppercase Letter
ValueCountFrequency (%)
P 288
42.4%
C 283
41.7%
O 14
 
2.1%
N 13
 
1.9%
E 11
 
1.6%
L 7
 
1.0%
Z 7
 
1.0%
S 7
 
1.0%
I 6
 
0.9%
T 6
 
0.9%
Other values (14) 37
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
c 84
38.5%
p 83
38.1%
e 10
 
4.6%
n 8
 
3.7%
o 6
 
2.8%
f 4
 
1.8%
a 3
 
1.4%
i 3
 
1.4%
t 3
 
1.4%
z 3
 
1.4%
Other values (7) 11
 
5.0%
Decimal Number
ValueCountFrequency (%)
2 11
55.0%
3 5
25.0%
1 2
 
10.0%
4 1
 
5.0%
9 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
% 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
220
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1618
58.2%
Latin 897
32.3%
Common 263
 
9.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 248
 
15.3%
이 85
 
5.3%
스 74
 
4.6%
점 44
 
2.7%
아 38
 
2.3%
피 32
 
2.0%
존 29
 
1.8%
라 29
 
1.8%
드 25
 
1.5%
카 21
 
1.3%
Other values (270) 993
61.4%
Latin
ValueCountFrequency (%)
P 288
32.1%
C 283
31.5%
c 84
 
9.4%
p 83
 
9.3%
O 14
 
1.6%
N 13
 
1.4%
E 11
 
1.2%
e 10
 
1.1%
n 8
 
0.9%
L 7
 
0.8%
Other values (31) 96
 
10.7%
Common
ValueCountFrequency (%)
220
83.7%
2 11
 
4.2%
( 10
 
3.8%
) 10
 
3.8%
3 5
 
1.9%
1 2
 
0.8%
% 1
 
0.4%
4 1
 
0.4%
9 1
 
0.4%
- 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1615
58.1%
ASCII 1160
41.8%
Compat Jamo 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
P 288
24.8%
C 283
24.4%
220
19.0%
c 84
 
7.2%
p 83
 
7.2%
O 14
 
1.2%
N 13
 
1.1%
2 11
 
0.9%
E 11
 
0.9%
( 10
 
0.9%
Other values (42) 143
12.3%
Hangul
ValueCountFrequency (%)
방 248
 
15.4%
이 85
 
5.3%
스 74
 
4.6%
점 44
 
2.7%
아 38
 
2.4%
피 32
 
2.0%
존 29
 
1.8%
라 29
 
1.8%
드 25
 
1.5%
카 21
 
1.3%
Other values (269) 990
61.3%
Compat Jamo
ValueCountFrequency (%)
ㅋ 3
100.0%

최종수정일자
Date

UNIQUE 

Distinct411
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum2008-06-16 14:42:08
Maximum2024-04-23 13:17:14
2024-05-11T14:31:32.910685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:31:33.183213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
I
290 
U
121 

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 290
70.6%
U 121
29.4%

Length

2024-05-11T14:31:33.412431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:31:33.603108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 290
70.6%
u 121
29.4%

데이터갱신일자
Date

Distinct113
Distinct (%)27.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:07:00
2024-05-11T14:31:33.830440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:31:34.106130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing411
Missing (%)100.0%
Memory size3.7 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct297
Distinct (%)73.3%
Missing6
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean205970.35
Minimum204454.28
Maximum207664.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T14:31:34.369830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum204454.28
5-th percentile204772.39
Q1205390.29
median206067.34
Q3206671.95
95-th percentile207060.53
Maximum207664.32
Range3210.0346
Interquartile range (IQR)1281.6631

Descriptive statistics

Standard deviation750.21836
Coefficient of variation (CV)0.0036423609
Kurtosis-1.1899428
Mean205970.35
Median Absolute Deviation (MAD)660.39966
Skewness0.013345525
Sum83417993
Variance562827.58
MonotonicityNot monotonic
2024-05-11T14:31:34.619201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205394.112077124 5
 
1.2%
204734.620704354 5
 
1.2%
206067.336181869 4
 
1.0%
206661.96024524 4
 
1.0%
205378.033019597 4
 
1.0%
205430.356783465 4
 
1.0%
206485.048629496 3
 
0.7%
205287.683549894 3
 
0.7%
205515.371565936 3
 
0.7%
205601.926027171 3
 
0.7%
Other values (287) 367
89.3%
(Missing) 6
 
1.5%
ValueCountFrequency (%)
204454.283088594 2
 
0.5%
204525.676353655 1
 
0.2%
204583.598071287 1
 
0.2%
204674.398854671 1
 
0.2%
204710.345832511 1
 
0.2%
204711.702135701 1
 
0.2%
204712.754030272 1
 
0.2%
204712.778909718 1
 
0.2%
204734.620704354 5
1.2%
204748.295377036 1
 
0.2%
ValueCountFrequency (%)
207664.317647853 1
0.2%
207382.703099595 1
0.2%
207372.165893983 1
0.2%
207325.505192296 1
0.2%
207262.334773143 1
0.2%
207261.162236947 2
0.5%
207256.793125039 2
0.5%
207209.845059052 2
0.5%
207157.078283418 1
0.2%
207156.158958151 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct297
Distinct (%)73.3%
Missing6
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean460508.83
Minimum456925.09
Maximum464922.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T14:31:34.848866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum456925.09
5-th percentile457205.96
Q1458076.02
median461349.76
Q3462025.37
95-th percentile463778.67
Maximum464922.21
Range7997.1192
Interquartile range (IQR)3949.35

Descriptive statistics

Standard deviation2207.4074
Coefficient of variation (CV)0.0047934095
Kurtosis-1.4040074
Mean460508.83
Median Absolute Deviation (MAD)1761.4739
Skewness-0.18251029
Sum1.8650607 × 108
Variance4872647.4
MonotonicityNot monotonic
2024-05-11T14:31:35.127656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
461283.511494133 5
 
1.2%
463778.939359759 5
 
1.2%
461791.876317908 4
 
1.0%
460616.888498529 4
 
1.0%
461318.08645497 4
 
1.0%
461479.613299751 4
 
1.0%
461993.090140302 3
 
0.7%
457833.667655465 3
 
0.7%
457205.957830975 3
 
0.7%
459732.128595514 3
 
0.7%
Other values (287) 367
89.3%
(Missing) 6
 
1.5%
ValueCountFrequency (%)
456925.093871139 1
 
0.2%
456954.147370611 2
0.5%
456990.07335337 2
0.5%
456996.048176249 1
 
0.2%
456996.92645734 2
0.5%
457003.268496842 1
 
0.2%
457008.271220657 1
 
0.2%
457026.303281574 3
0.7%
457032.61474419 1
 
0.2%
457071.437368432 1
 
0.2%
ValueCountFrequency (%)
464922.213107238 1
0.2%
464208.305428933 2
0.5%
464099.692139359 1
0.2%
464080.593904719 1
0.2%
463993.93242867 1
0.2%
463973.059991804 1
0.2%
463967.288761705 1
0.2%
463961.862132076 1
0.2%
463952.193945599 1
0.2%
463943.786866443 1
0.2%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
인터넷컴퓨터게임시설제공업
371 
<NA>
40 

Length

Max length13
Median length13
Mean length12.124088
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 371
90.3%
<NA> 40
 
9.7%

Length

2024-05-11T14:31:35.377733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:31:35.572330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 371
90.3%
na 40
 
9.7%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
유통관련업
371 
<NA>
40 

Length

Max length5
Median length5
Mean length4.9026764
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 371
90.3%
<NA> 40
 
9.7%

Length

2024-05-11T14:31:35.779152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:31:35.971213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 371
90.3%
na 40
 
9.7%

총층수
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)14.1%
Missing326
Missing (%)79.3%
Infinite0
Infinite (%)0.0%
Mean5.0470588
Minimum0
Maximum16
Zeros3
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T14:31:36.139571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.2
Q14
median5
Q36
95-th percentile9
Maximum16
Range16
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.3447301
Coefficient of variation (CV)0.46457356
Kurtosis5.0320313
Mean5.0470588
Median Absolute Deviation (MAD)1
Skewness1.0883802
Sum429
Variance5.4977591
MonotonicityNot monotonic
2024-05-11T14:31:36.342390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
5 21
 
5.1%
4 19
 
4.6%
6 15
 
3.6%
3 7
 
1.7%
7 5
 
1.2%
9 4
 
1.0%
8 4
 
1.0%
2 3
 
0.7%
0 3
 
0.7%
1 2
 
0.5%
Other values (2) 2
 
0.5%
(Missing) 326
79.3%
ValueCountFrequency (%)
0 3
 
0.7%
1 2
 
0.5%
2 3
 
0.7%
3 7
 
1.7%
4 19
4.6%
5 21
5.1%
6 15
3.6%
7 5
 
1.2%
8 4
 
1.0%
9 4
 
1.0%
ValueCountFrequency (%)
16 1
 
0.2%
10 1
 
0.2%
9 4
 
1.0%
8 4
 
1.0%
7 5
 
1.2%
6 15
3.6%
5 21
5.1%
4 19
4.6%
3 7
 
1.7%
2 3
 
0.7%

주변환경명
Categorical

Distinct6
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
202 
아파트지역
91 
주택가주변
73 
학교정화(상대)
32 
기타
 
10

Length

Max length8
Median length5
Mean length4.6909976
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주택가주변
2nd row주택가주변
3rd row기타
4th row주택가주변
5th row아파트지역

Common Values

ValueCountFrequency (%)
<NA> 202
49.1%
아파트지역 91
22.1%
주택가주변 73
 
17.8%
학교정화(상대) 32
 
7.8%
기타 10
 
2.4%
유흥업소밀집지역 3
 
0.7%

Length

2024-05-11T14:31:36.583251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:31:36.784474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 202
49.1%
아파트지역 91
22.1%
주택가주변 73
 
17.8%
학교정화(상대 32
 
7.8%
기타 10
 
2.4%
유흥업소밀집지역 3
 
0.7%

제작취급품목내용
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
392 
온라인 게임물 제공
 
13
온라인게임물 제공
 
4
온라인게임
 
1
125대+카운터1대
 
1

Length

Max length10
Median length4
Mean length4.2554745
Min length4

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 392
95.4%
온라인 게임물 제공 13
 
3.2%
온라인게임물 제공 4
 
1.0%
온라인게임 1
 
0.2%
125대+카운터1대 1
 
0.2%

Length

2024-05-11T14:31:36.973955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:31:37.188808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 392
88.9%
제공 17
 
3.9%
온라인 13
 
2.9%
게임물 13
 
2.9%
온라인게임물 4
 
0.9%
온라인게임 1
 
0.2%
125대+카운터1대 1
 
0.2%

시설면적
Real number (ℝ)

MISSING 

Distinct325
Distinct (%)88.6%
Missing44
Missing (%)10.7%
Infinite0
Infinite (%)0.0%
Mean167.52371
Minimum17
Maximum1089
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T14:31:37.507663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile28.336
Q195.59
median147.68
Q3208.85
95-th percentile394.021
Maximum1089
Range1072
Interquartile range (IQR)113.26

Descriptive statistics

Standard deviation113.66083
Coefficient of variation (CV)0.67847609
Kurtosis11.75404
Mean167.52371
Median Absolute Deviation (MAD)56.96
Skewness2.2094277
Sum61481.2
Variance12918.784
MonotonicityNot monotonic
2024-05-11T14:31:37.765430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30.0 5
 
1.2%
84.43 4
 
1.0%
123.28 3
 
0.7%
182.31 3
 
0.7%
158.7 3
 
0.7%
105.52 3
 
0.7%
47.14 2
 
0.5%
147.9 2
 
0.5%
135.0 2
 
0.5%
148.5 2
 
0.5%
Other values (315) 338
82.2%
(Missing) 44
 
10.7%
ValueCountFrequency (%)
17.0 1
0.2%
19.8 1
0.2%
20.16 1
0.2%
21.0 1
0.2%
22.8 1
0.2%
23.0 1
0.2%
24.0 1
0.2%
24.72 1
0.2%
25.0 1
0.2%
26.0 1
0.2%
ValueCountFrequency (%)
1089.0 1
0.2%
497.9 1
0.2%
492.71 1
0.2%
492.23 1
0.2%
487.75 1
0.2%
481.84 2
0.5%
460.26 1
0.2%
457.8 1
0.2%
450.0 1
0.2%
447.19 1
0.2%

지상층수
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)12.8%
Missing325
Missing (%)79.1%
Infinite0
Infinite (%)0.0%
Mean4.2906977
Minimum0
Maximum13
Zeros3
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T14:31:37.964114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.25
Q13
median4
Q35
95-th percentile7.75
Maximum13
Range13
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.01679
Coefficient of variation (CV)0.47003778
Kurtosis3.6667746
Mean4.2906977
Median Absolute Deviation (MAD)1
Skewness0.98285311
Sum369
Variance4.0674419
MonotonicityNot monotonic
2024-05-11T14:31:38.235161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
4 26
 
6.3%
5 18
 
4.4%
3 14
 
3.4%
2 7
 
1.7%
6 7
 
1.7%
7 4
 
1.0%
0 3
 
0.7%
8 2
 
0.5%
9 2
 
0.5%
1 2
 
0.5%
(Missing) 325
79.1%
ValueCountFrequency (%)
0 3
 
0.7%
1 2
 
0.5%
2 7
 
1.7%
3 14
3.4%
4 26
6.3%
5 18
4.4%
6 7
 
1.7%
7 4
 
1.0%
8 2
 
0.5%
9 2
 
0.5%
ValueCountFrequency (%)
13 1
 
0.2%
9 2
 
0.5%
8 2
 
0.5%
7 4
 
1.0%
6 7
 
1.7%
5 18
4.4%
4 26
6.3%
3 14
3.4%
2 7
 
1.7%
1 2
 
0.5%

지하층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
338 
1
58 
2
 
9
0
 
3
3
 
3

Length

Max length4
Median length4
Mean length3.4671533
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 338
82.2%
1 58
 
14.1%
2 9
 
2.2%
0 3
 
0.7%
3 3
 
0.7%

Length

2024-05-11T14:31:38.486489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:31:38.664052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 338
82.2%
1 58
 
14.1%
2 9
 
2.2%
0 3
 
0.7%
3 3
 
0.7%

건물용도명
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
근린생활시설
230 
<NA>
179 
유통시설
 
1
판매시설
 
1

Length

Max length6
Median length6
Mean length5.1192214
Min length4

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
근린생활시설 230
56.0%
<NA> 179
43.6%
유통시설 1
 
0.2%
판매시설 1
 
0.2%

Length

2024-05-11T14:31:38.864078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:31:39.084776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
근린생활시설 230
56.0%
na 179
43.6%
유통시설 1
 
0.2%
판매시설 1
 
0.2%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
404 
0
 
7

Length

Max length4
Median length4
Mean length3.9489051
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> 404
98.3%
0 7
 
1.7%

Length

2024-05-11T14:31:39.284471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:31:39.508588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 404
98.3%
0 7
 
1.7%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
404 
0
 
7

Length

Max length4
Median length4
Mean length3.9489051
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> 404
98.3%
0 7
 
1.7%

Length

2024-05-11T14:31:39.747288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:31:39.961138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 404
98.3%
0 7
 
1.7%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
404 
0
 
7

Length

Max length4
Median length4
Mean length3.9489051
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> 404
98.3%
0 7
 
1.7%

Length

2024-05-11T14:31:40.203014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:31:40.411815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 404
98.3%
0 7
 
1.7%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
404 
0
 
7

Length

Max length4
Median length4
Mean length3.9489051
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> 404
98.3%
0 7
 
1.7%

Length

2024-05-11T14:31:40.650677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:31:40.851831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 404
98.3%
0 7
 
1.7%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing411
Missing (%)100.0%
Memory size3.7 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing411
Missing (%)100.0%
Memory size3.7 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing411
Missing (%)100.0%
Memory size3.7 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing411
Missing (%)100.0%
Memory size3.7 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing411
Missing (%)100.0%
Memory size3.7 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing411
Missing (%)100.0%
Memory size3.7 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing411
Missing (%)100.0%
Memory size3.7 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing411
Missing (%)100.0%
Memory size3.7 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing411
Missing (%)100.0%
Memory size3.7 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing411
Missing (%)100.0%
Memory size3.7 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing411
Missing (%)100.0%
Memory size3.7 KiB

총게임기수
Real number (ℝ)

MISSING 

Distinct80
Distinct (%)54.1%
Missing263
Missing (%)64.0%
Infinite0
Infinite (%)0.0%
Mean63.304054
Minimum5
Maximum253
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T14:31:41.070975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6
Q19
median57
Q394.25
95-th percentile165.25
Maximum253
Range248
Interquartile range (IQR)85.25

Descriptive statistics

Standard deviation55.654749
Coefficient of variation (CV)0.87916564
Kurtosis0.37980686
Mean63.304054
Median Absolute Deviation (MAD)47
Skewness0.88158171
Sum9369
Variance3097.4511
MonotonicityNot monotonic
2024-05-11T14:31:41.305474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 15
 
3.6%
6 14
 
3.4%
10 7
 
1.7%
5 5
 
1.2%
70 5
 
1.2%
100 4
 
1.0%
50 3
 
0.7%
9 3
 
0.7%
14 3
 
0.7%
20 3
 
0.7%
Other values (70) 86
 
20.9%
(Missing) 263
64.0%
ValueCountFrequency (%)
5 5
 
1.2%
6 14
3.4%
7 15
3.6%
8 2
 
0.5%
9 3
 
0.7%
10 7
1.7%
14 3
 
0.7%
15 2
 
0.5%
16 1
 
0.2%
20 3
 
0.7%
ValueCountFrequency (%)
253 1
0.2%
240 1
0.2%
197 1
0.2%
193 1
0.2%
175 1
0.2%
172 1
0.2%
171 1
0.2%
167 1
0.2%
162 1
0.2%
160 1
0.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing411
Missing (%)100.0%
Memory size3.7 KiB

제공게임물명
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
295 
전체이용가
109 
청소년이용불가
 
7

Length

Max length7
Median length4
Mean length4.3163017
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 295
71.8%
전체이용가 109
 
26.5%
청소년이용불가 7
 
1.7%

Length

2024-05-11T14:31:41.546988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:31:42.139045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 295
71.8%
전체이용가 109
 
26.5%
청소년이용불가 7
 
1.7%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing411
Missing (%)100.0%
Memory size3.7 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing411
Missing (%)100.0%
Memory size3.7 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing411
Missing (%)100.0%
Memory size3.7 KiB

지역구분명
Categorical

Distinct7
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
193 
일반주거지역
187 
준주거지역
 
15
주거지역
 
11
일반상업지역
 
2
Other values (2)
 
3

Length

Max length6
Median length5
Mean length4.9708029
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row준주거지역
2nd row준주거지역
3rd row준주거지역
4th row일반주거지역
5th row일반주거지역

Common Values

ValueCountFrequency (%)
<NA> 193
47.0%
일반주거지역 187
45.5%
준주거지역 15
 
3.6%
주거지역 11
 
2.7%
일반상업지역 2
 
0.5%
근린상업지역 2
 
0.5%
전용주거지역 1
 
0.2%

Length

2024-05-11T14:31:42.367301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:31:42.619942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 193
47.0%
일반주거지역 187
45.5%
준주거지역 15
 
3.6%
주거지역 11
 
2.7%
일반상업지역 2
 
0.5%
근린상업지역 2
 
0.5%
전용주거지역 1
 
0.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03100000CDFF224102200700000120070703<NA>3폐업3폐업20150611<NA><NA><NA><NA><NA><NA>서울특별시 노원구 월계동 409-12번지 지하1층서울특별시 노원구 광운로 54 (월계동,지하1층)<NA>G2 ZONE PC방2015-06-11 17:53:44I2018-08-31 23:59:59.0<NA>205195.597003457758.157245인터넷컴퓨터게임시설제공업유통관련업6주택가주변<NA>144.1251근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준주거지역
13100000CDFF224102200700000220070703<NA>3폐업3폐업20120210<NA><NA><NA><NA><NA>139856서울특별시 노원구 중계동 143-11번지 우암에이스타워 205호<NA><NA>스피드존 PC방2012-02-10 13:59:48I2018-08-31 23:59:59.0<NA><NA><NA>인터넷컴퓨터게임시설제공업유통관련업9주택가주변<NA>74.4881근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준주거지역
23100000CDFF224102200700000320070709<NA>3폐업3폐업20130613<NA><NA><NA>02-938-2205<NA>139816서울특별시 노원구 상계동 335번지 지층서울특별시 노원구 상계로 76 (상계동,지층)<NA>마시멜로pc방2013-06-13 13:24:01I2018-08-31 23:59:59.0<NA>205530.727606461528.000009인터넷컴퓨터게임시설제공업유통관련업6기타<NA>304.5651근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준주거지역
33100000CDFF224102200700000420070718<NA>3폐업3폐업20080611<NA><NA><NA>915-1171<NA>139841서울특별시 노원구 월계동 74-10번지서울특별시 노원구 석계로9길 17 (월계동)<NA>존앤존pc방2008-09-02 16:34:45I2018-08-31 23:59:59.0<NA>205515.371566457205.957831인터넷컴퓨터게임시설제공업유통관련업<NA>주택가주변<NA>123.28<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>일반주거지역
43100000CDFF224102200700000520070723<NA>3폐업3폐업20090826<NA><NA><NA>02-952-7006<NA><NA>서울특별시 노원구 상계동 591-23번지서울특별시 노원구 상계로3길 35 (상계동)<NA>엔비디아존pc방2011-06-03 15:54:51I2018-08-31 23:59:59.0<NA>205418.008007461710.564133인터넷컴퓨터게임시설제공업유통관련업2아파트지역<NA>481.842<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>일반주거지역
53100000CDFF224102200700000620070803200711304취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>139802서울특별시 노원구 공릉동 335-1번지서울특별시 노원구 공릉로 131 (공릉동)<NA>매직스페이스pc방2008-09-02 11:23:56I2018-08-31 23:59:59.0<NA>206905.245927457731.340237인터넷컴퓨터게임시설제공업유통관련업5아파트지역<NA>108.7241근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>청소년이용불가<NA><NA><NA>일반주거지역
63100000CDFF224102200700000720070803<NA>3폐업3폐업20150817<NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 358-9번지 2층서울특별시 노원구 상계로3길 29, 2층 (상계동)1693뉴월드존PC방2015-08-17 09:24:06I2018-08-31 23:59:59.0<NA>205432.120294461688.042377인터넷컴퓨터게임시설제공업유통관련업5아파트지역<NA>155.4641근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>일반주거지역
73100000CDFF224102200700000820070813<NA>3폐업3폐업20131122<NA><NA><NA><NA><NA><NA>서울특별시 노원구 월계동 47-13번지<NA><NA>사이버피플 pc방2013-12-09 14:55:56I2018-08-31 23:59:59.0<NA>205656.851248456990.073353인터넷컴퓨터게임시설제공업유통관련업5아파트지역<NA>119.3341근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>일반주거지역
83100000CDFF224102200700000920070813<NA>3폐업3폐업20201116<NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 169-210 2층서울특별시 노원구 한글비석로24길 14, 2층 (상계동, 신흥빌딩)1663cu pc방2020-11-16 17:57:59U2020-11-18 02:40:00.0<NA>206270.823086462123.792298인터넷컴퓨터게임시설제공업유통관련업6아파트지역<NA>137.051근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>53<NA>전체이용가<NA><NA><NA>일반주거지역
93100000CDFF224102200700001020070813<NA>3폐업3폐업20100121<NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 602-2번지서울특별시 노원구 상계로3길 15 (상계동)<NA>하루pc방2011-06-03 15:55:45I2018-08-31 23:59:59.0<NA>205415.373334461615.887624인터넷컴퓨터게임시설제공업유통관련업5아파트지역<NA>133.1241근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
4013100000CDFF224102202100000420210531<NA>3폐업3폐업20210716<NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 726-1 일신상가 301호서울특별시 노원구 동일로218길 17, 일신상가 3층 301호 (상계동)1751플라워 성인PC2021-07-16 14:12:43U2021-07-18 02:40:00.0<NA>205394.112077461283.511494인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>67.26<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>7<NA>청소년이용불가<NA><NA><NA><NA>
4023100000CDFF224102202100000520210702<NA>3폐업3폐업20211125<NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 707 유성빌딩 2층서울특별시 노원구 노해로75길 14-17, 유성빌딩 2층 (상계동)1689영PC2021-11-26 13:51:55U2021-11-28 02:40:00.0<NA>205074.45259461368.878495인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>142.72<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6<NA>청소년이용불가<NA><NA><NA><NA>
4033100000CDFF22410220210000062021-11-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 1118서울특별시 노원구 동일로 1651, 2층 3호 (상계동)1608홈런PC2024-02-04 14:05:12U2023-12-02 00:06:00.0<NA>204782.785333463733.063924<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4043100000CDFF22410220220000012022-01-03<NA>3폐업3폐업2023-05-18<NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 76-10 도빌딩상계 3층서울특별시 노원구 덕릉로 812, 도빌딩상계 3층 (상계동)1644피씨랜드2023-05-18 16:50:41U2022-12-04 22:00:00.0<NA>207029.642411462978.94135<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4053100000CDFF224102202200000220220422<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 중계동 369-9 지층서울특별시 노원구 한글비석로 326, 중계주공아파트2단지목욕탕상가 지층 (중계동)1718오엑스 피씨 중계점2022-04-22 09:15:00I2021-12-03 22:04:00.0<NA>206847.499027461574.15238<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4063100000CDFF22410220230000012023-01-31<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 월계동 54-1 흥우빌딩 B02호서울특별시 노원구 석계로1길 22, 흥우빌딩 B02호 (월계동)1902명신PC2023-05-22 09:56:59U2022-12-04 22:04:00.0<NA>205536.381645457026.303282<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4073100000CDFF22410220230000022023-03-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 727 덕영빌딩 지층 101, 102호서울특별시 노원구 노해로 482, 덕영빌딩 지층 101, 102호 (상계동)1751있지피씨2023-03-10 13:33:30I2022-12-02 23:02:00.0<NA>205378.03302461318.086455<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4083100000CDFF22410220230000032023-09-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 76-9 재원빌딩서울특별시 노원구 덕릉로 814, 재원빌딩 3층 (상계동)1644당고개PC2023-09-01 10:27:51I2022-12-09 00:03:00.0<NA>207039.573223462992.91985<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4093100000CDFF22410220230000042023-12-07<NA>3폐업3폐업2024-02-16<NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 617 화랑빌딩서울특별시 노원구 상계로 64, 화랑빌딩 지하1층 (상계동)1695레드포스PC아레나 노원역점2024-03-29 13:36:58U2023-12-02 21:01:00.0<NA>205430.356783461479.6133<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4103100000CDFF22410220230000052023-12-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 중계동 506 브라운스톤중계 279호서울특별시 노원구 동일로203가길 29, 279호 (중계동, 브라운스톤중계)1779범PC2023-12-22 10:43:00I2022-11-01 22:04:00.0<NA>205601.926027459732.128596<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>