Overview

Dataset statistics

Number of variables56
Number of observations565
Missing cells14116
Missing cells (%)44.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory267.2 KiB
Average record size in memory484.2 B

Variable types

Categorical19
Text6
DateTime3
Numeric8
Unsupported20

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author동대문구
URLhttps://data.seoul.go.kr/dataList/OA-16797/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
상세영업상태코드 is highly imbalanced (52.5%)Imbalance
상세영업상태명 is highly imbalanced (52.5%)Imbalance
데이터갱신구분 is highly imbalanced (56.9%)Imbalance
데이터갱신일자 is highly imbalanced (83.3%)Imbalance
문화사업자구분명 is highly imbalanced (76.3%)Imbalance
건물용도명 is highly imbalanced (54.4%)Imbalance
통로너비 is highly imbalanced (98.1%)Imbalance
조명시설조도 is highly imbalanced (98.1%)Imbalance
노래방실수 is highly imbalanced (98.1%)Imbalance
청소년실수 is highly imbalanced (98.1%)Imbalance
총게임기수 is highly imbalanced (97.6%)Imbalance
제공게임물명 is highly imbalanced (63.5%)Imbalance
지역구분명 is highly imbalanced (62.0%)Imbalance
인허가취소일자 has 552 (97.7%) missing valuesMissing
폐업일자 has 35 (6.2%) missing valuesMissing
휴업시작일자 has 565 (100.0%) missing valuesMissing
휴업종료일자 has 565 (100.0%) missing valuesMissing
재개업일자 has 565 (100.0%) missing valuesMissing
전화번호 has 175 (31.0%) missing valuesMissing
소재지면적 has 565 (100.0%) missing valuesMissing
소재지우편번호 has 110 (19.5%) missing valuesMissing
도로명주소 has 66 (11.7%) missing valuesMissing
도로명우편번호 has 461 (81.6%) missing valuesMissing
업태구분명 has 565 (100.0%) missing valuesMissing
좌표정보(X) has 37 (6.5%) missing valuesMissing
좌표정보(Y) has 37 (6.5%) missing valuesMissing
총층수 has 352 (62.3%) missing valuesMissing
제작취급품목내용 has 482 (85.3%) missing valuesMissing
시설면적 has 177 (31.3%) missing valuesMissing
지상층수 has 332 (58.8%) missing valuesMissing
비상계단여부 has 565 (100.0%) missing valuesMissing
비상구여부 has 565 (100.0%) missing valuesMissing
자동환기여부 has 565 (100.0%) missing valuesMissing
청소년실여부 has 565 (100.0%) missing valuesMissing
특수조명여부 has 565 (100.0%) missing valuesMissing
방음시설여부 has 565 (100.0%) missing valuesMissing
비디오재생기명 has 565 (100.0%) missing valuesMissing
조명시설유무 has 565 (100.0%) missing valuesMissing
음향시설여부 has 565 (100.0%) missing valuesMissing
편의시설여부 has 565 (100.0%) missing valuesMissing
소방시설여부 has 565 (100.0%) missing valuesMissing
기존게임업외업종명 has 565 (100.0%) missing valuesMissing
공연장형태구분명 has 565 (100.0%) missing valuesMissing
품목명 has 565 (100.0%) missing valuesMissing
최초등록시점 has 565 (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 114 (20.2%) zerosZeros
시설면적 has 255 (45.1%) zerosZeros
지상층수 has 114 (20.2%) zerosZeros

Reproduction

Analysis started2024-05-11 06:46:26.871412
Analysis finished2024-05-11 06:46:27.948888
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
3050000
565 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3050000
2nd row3050000
3rd row3050000
4th row3050000
5th row3050000

Common Values

ValueCountFrequency (%)
3050000 565
100.0%

Length

2024-05-11T15:46:28.024273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:28.144228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3050000 565
100.0%

관리번호
Text

UNIQUE 

Distinct565
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2024-05-11T15:46:28.358017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters11300
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

Unique565 ?
Unique (%)100.0%

Sample

1st rowCDFF2241011985000001
2nd rowCDFF2241011985000003
3rd rowCDFF2241011985000005
4th rowCDFF2241011985000006
5th rowCDFF2241011985000008
ValueCountFrequency (%)
cdff2241011985000001 1
 
0.2%
cdff2241012002000044 1
 
0.2%
cdff2241012002000046 1
 
0.2%
cdff2241012002000047 1
 
0.2%
cdff2241012002000048 1
 
0.2%
cdff2241012003000001 1
 
0.2%
cdff2241012003000002 1
 
0.2%
cdff2241012003000003 1
 
0.2%
cdff2241012002000045 1
 
0.2%
cdff2241012002000026 1
 
0.2%
Other values (555) 555
98.2%
2024-05-11T15:46:28.783409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3777
33.4%
2 1785
15.8%
1 1726
15.3%
F 1130
 
10.0%
4 676
 
6.0%
C 565
 
5.0%
D 565
 
5.0%
9 302
 
2.7%
3 262
 
2.3%
8 155
 
1.4%
Other values (3) 357
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9040
80.0%
Uppercase Letter 2260
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3777
41.8%
2 1785
19.7%
1 1726
19.1%
4 676
 
7.5%
9 302
 
3.3%
3 262
 
2.9%
8 155
 
1.7%
6 149
 
1.6%
5 117
 
1.3%
7 91
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
F 1130
50.0%
C 565
25.0%
D 565
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9040
80.0%
Latin 2260
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3777
41.8%
2 1785
19.7%
1 1726
19.1%
4 676
 
7.5%
9 302
 
3.3%
3 262
 
2.9%
8 155
 
1.7%
6 149
 
1.6%
5 117
 
1.3%
7 91
 
1.0%
Latin
ValueCountFrequency (%)
F 1130
50.0%
C 565
25.0%
D 565
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3777
33.4%
2 1785
15.8%
1 1726
15.3%
F 1130
 
10.0%
4 676
 
6.0%
C 565
 
5.0%
D 565
 
5.0%
9 302
 
2.7%
3 262
 
2.3%
8 155
 
1.4%
Other values (3) 357
 
3.2%

인허가일자
Date

Distinct390
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
Minimum1985-01-31 00:00:00
Maximum2023-12-20 00:00:00
2024-05-11T15:46:29.035915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:46:29.247015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)92.3%
Missing552
Missing (%)97.7%
Infinite0
Infinite (%)0.0%
Mean20144723
Minimum20070515
Maximum20210111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-05-11T15:46:29.398245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070515
5-th percentile20076463
Q120121228
median20141230
Q320171024
95-th percentile20204783
Maximum20210111
Range139596
Interquartile range (IQR)49796

Descriptive statistics

Standard deviation43926.568
Coefficient of variation (CV)0.0021805497
Kurtosis-0.68367861
Mean20144723
Median Absolute Deviation (MAD)20212
Skewness-0.06247666
Sum2.6188139 × 108
Variance1.9295434 × 109
MonotonicityNot monotonic
2024-05-11T15:46:29.520404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
20121228 2
 
0.4%
20080428 1
 
0.2%
20070515 1
 
0.2%
20121018 1
 
0.2%
20141230 1
 
0.2%
20130704 1
 
0.2%
20160425 1
 
0.2%
20151028 1
 
0.2%
20201231 1
 
0.2%
20171024 1
 
0.2%
Other values (2) 2
 
0.4%
(Missing) 552
97.7%
ValueCountFrequency (%)
20070515 1
0.2%
20080428 1
0.2%
20121018 1
0.2%
20121228 2
0.4%
20130704 1
0.2%
20141230 1
0.2%
20151028 1
0.2%
20160425 1
0.2%
20171024 1
0.2%
20201224 1
0.2%
ValueCountFrequency (%)
20210111 1
0.2%
20201231 1
0.2%
20201224 1
0.2%
20171024 1
0.2%
20160425 1
0.2%
20151028 1
0.2%
20141230 1
0.2%
20130704 1
0.2%
20121228 2
0.4%
20121018 1
0.2%

영업상태코드
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
3
379 
4
168 
1
 
18

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 (%)
3 379
67.1%
4 168
29.7%
1 18
 
3.2%

Length

2024-05-11T15:46:29.649159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:29.744281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 379
67.1%
4 168
29.7%
1 18
 
3.2%

영업상태명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
폐업
379 
취소/말소/만료/정지/중지
168 
영업/정상
 
18

Length

Max length14
Median length2
Mean length5.6637168
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 379
67.1%
취소/말소/만료/정지/중지 168
29.7%
영업/정상 18
 
3.2%

Length

2024-05-11T15:46:29.853443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:29.973197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 379
67.1%
취소/말소/만료/정지/중지 168
29.7%
영업/정상 18
 
3.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
03
379 
35
154 
13
 
14
30
 
12
BBBB
 
4

Length

Max length4
Median length2
Mean length2.0141593
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
03 379
67.1%
35 154
27.3%
13 14
 
2.5%
30 12
 
2.1%
BBBB 4
 
0.7%
31 2
 
0.4%

Length

2024-05-11T15:46:30.111365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:30.259957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03 379
67.1%
35 154
27.3%
13 14
 
2.5%
30 12
 
2.1%
bbbb 4
 
0.7%
31 2
 
0.4%

상세영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
폐업
379 
직권말소
154 
영업중
 
14
허가취소
 
12
<NA>
 
4

Length

Max length4
Median length2
Mean length2.6336283
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 379
67.1%
직권말소 154
27.3%
영업중 14
 
2.5%
허가취소 12
 
2.1%
<NA> 4
 
0.7%
등록취소 2
 
0.4%

Length

2024-05-11T15:46:30.411983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:30.553248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 379
67.1%
직권말소 154
27.3%
영업중 14
 
2.5%
허가취소 12
 
2.1%
na 4
 
0.7%
등록취소 2
 
0.4%

폐업일자
Date

MISSING 

Distinct321
Distinct (%)60.6%
Missing35
Missing (%)6.2%
Memory size4.5 KiB
Minimum1994-09-26 00:00:00
Maximum2023-11-30 00:00:00
2024-05-11T15:46:30.723786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:46:30.934781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing565
Missing (%)100.0%
Memory size5.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing565
Missing (%)100.0%
Memory size5.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing565
Missing (%)100.0%
Memory size5.1 KiB

전화번호
Text

MISSING 

Distinct364
Distinct (%)93.3%
Missing175
Missing (%)31.0%
Memory size4.5 KiB
2024-05-11T15:46:31.378451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length8.3435897
Min length2

Characters and Unicode

Total characters3254
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

Unique348 ?
Unique (%)89.2%

Sample

1st row0245-0711
2nd row962-9713
3rd row213-6728
4th row0247-3592
5th row2212-9298
ValueCountFrequency (%)
0-0000 8
 
2.1%
0000-0000 4
 
1.0%
959-6500 3
 
0.8%
0 3
 
0.8%
962-7950 2
 
0.5%
2247-2500 2
 
0.5%
923-4617 2
 
0.5%
2217-6923 2
 
0.5%
967-7308 2
 
0.5%
966-9955 2
 
0.5%
Other values (354) 360
92.3%
2024-05-11T15:46:32.168227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 547
16.8%
- 392
12.0%
9 364
11.2%
6 328
10.1%
0 279
8.6%
4 278
8.5%
5 241
7.4%
1 227
7.0%
3 209
 
6.4%
7 200
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2862
88.0%
Dash Punctuation 392
 
12.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 547
19.1%
9 364
12.7%
6 328
11.5%
0 279
9.7%
4 278
9.7%
5 241
8.4%
1 227
7.9%
3 209
 
7.3%
7 200
 
7.0%
8 189
 
6.6%
Dash Punctuation
ValueCountFrequency (%)
- 392
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3254
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 547
16.8%
- 392
12.0%
9 364
11.2%
6 328
10.1%
0 279
8.6%
4 278
8.5%
5 241
7.4%
1 227
7.0%
3 209
 
6.4%
7 200
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3254
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 547
16.8%
- 392
12.0%
9 364
11.2%
6 328
10.1%
0 279
8.6%
4 278
8.5%
5 241
7.4%
1 227
7.0%
3 209
 
6.4%
7 200
 
6.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing565
Missing (%)100.0%
Memory size5.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct68
Distinct (%)14.9%
Missing110
Missing (%)19.5%
Infinite0
Infinite (%)0.0%
Mean130824.52
Minimum130020
Maximum130883
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-05-11T15:46:32.354461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum130020
5-th percentile130802
Q1130826
median130842
Q3130862
95-th percentile130876
Maximum130883
Range863
Interquartile range (IQR)36

Descriptive statistics

Standard deviation123.73059
Coefficient of variation (CV)0.00094577524
Kurtosis34.749154
Mean130824.52
Median Absolute Deviation (MAD)18
Skewness-5.9434774
Sum59525156
Variance15309.259
MonotonicityNot monotonic
2024-05-11T15:46:32.527516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
130840 34
 
6.0%
130851 29
 
5.1%
130842 23
 
4.1%
130867 23
 
4.1%
130876 18
 
3.2%
130817 16
 
2.8%
130872 14
 
2.5%
130846 14
 
2.5%
130837 13
 
2.3%
130805 13
 
2.3%
Other values (58) 258
45.7%
(Missing) 110
19.5%
ValueCountFrequency (%)
130020 5
 
0.9%
130030 1
 
0.2%
130080 2
 
0.4%
130090 2
 
0.4%
130100 1
 
0.2%
130800 8
1.4%
130802 5
 
0.9%
130803 1
 
0.2%
130804 1
 
0.2%
130805 13
2.3%
ValueCountFrequency (%)
130883 12
2.1%
130881 1
 
0.2%
130878 4
 
0.7%
130876 18
3.2%
130875 11
1.9%
130874 2
 
0.4%
130872 14
2.5%
130870 7
 
1.2%
130869 3
 
0.5%
130868 1
 
0.2%

지번주소
Text

Distinct502
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2024-05-11T15:46:32.764455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length40
Mean length26.19646
Min length18

Characters and Unicode

Total characters14801
Distinct characters95
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

Unique450 ?
Unique (%)79.6%

Sample

1st row서울특별시 동대문구 답십리동 50-35번지 1층
2nd row서울특별시 동대문구 회기동 16-52번지 지하1층
3rd row서울특별시 동대문구 전농동 38-24번지
4th row서울특별시 동대문구 장안동 116-7번지 1층
5th row서울특별시 동대문구 장안동 444-11번지 1층
ValueCountFrequency (%)
서울특별시 565
20.9%
동대문구 565
20.9%
1층 263
 
9.7%
장안동 163
 
6.0%
전농동 81
 
3.0%
청량리동 64
 
2.4%
지하1층 60
 
2.2%
답십리동 57
 
2.1%
용두동 56
 
2.1%
제기동 44
 
1.6%
Other values (491) 784
29.0%
2024-05-11T15:46:33.150340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2677
18.1%
동 1133
 
7.7%
1 742
 
5.0%
문 606
 
4.1%
지 602
 
4.1%
대 569
 
3.8%
서 566
 
3.8%
특 565
 
3.8%
별 565
 
3.8%
시 565
 
3.8%
Other values (85) 6211
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8642
58.4%
Decimal Number 2928
 
19.8%
Space Separator 2677
 
18.1%
Dash Punctuation 524
 
3.5%
Other Punctuation 13
 
0.1%
Open Punctuation 6
 
< 0.1%
Close Punctuation 6
 
< 0.1%
Uppercase Letter 3
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1133
13.1%
문 606
 
7.0%
지 602
 
7.0%
대 569
 
6.6%
서 566
 
6.5%
특 565
 
6.5%
별 565
 
6.5%
시 565
 
6.5%
구 565
 
6.5%
울 565
 
6.5%
Other values (63) 2341
27.1%
Decimal Number
ValueCountFrequency (%)
1 742
25.3%
2 420
14.3%
3 351
12.0%
4 264
 
9.0%
6 259
 
8.8%
5 204
 
7.0%
0 202
 
6.9%
7 191
 
6.5%
9 163
 
5.6%
8 132
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 7
53.8%
. 3
23.1%
& 2
 
15.4%
? 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
F 1
33.3%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
2677
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 524
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8642
58.4%
Common 6156
41.6%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1133
13.1%
문 606
 
7.0%
지 602
 
7.0%
대 569
 
6.6%
서 566
 
6.5%
특 565
 
6.5%
별 565
 
6.5%
시 565
 
6.5%
구 565
 
6.5%
울 565
 
6.5%
Other values (63) 2341
27.1%
Common
ValueCountFrequency (%)
2677
43.5%
1 742
 
12.1%
- 524
 
8.5%
2 420
 
6.8%
3 351
 
5.7%
4 264
 
4.3%
6 259
 
4.2%
5 204
 
3.3%
0 202
 
3.3%
7 191
 
3.1%
Other values (9) 322
 
5.2%
Latin
ValueCountFrequency (%)
A 1
33.3%
F 1
33.3%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8642
58.4%
ASCII 6159
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2677
43.5%
1 742
 
12.0%
- 524
 
8.5%
2 420
 
6.8%
3 351
 
5.7%
4 264
 
4.3%
6 259
 
4.2%
5 204
 
3.3%
0 202
 
3.3%
7 191
 
3.1%
Other values (12) 325
 
5.3%
Hangul
ValueCountFrequency (%)
동 1133
13.1%
문 606
 
7.0%
지 602
 
7.0%
대 569
 
6.6%
서 566
 
6.5%
특 565
 
6.5%
별 565
 
6.5%
시 565
 
6.5%
구 565
 
6.5%
울 565
 
6.5%
Other values (63) 2341
27.1%

도로명주소
Text

MISSING 

Distinct427
Distinct (%)85.6%
Missing66
Missing (%)11.7%
Memory size4.5 KiB
2024-05-11T15:46:33.496493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length39
Mean length29.334669
Min length23

Characters and Unicode

Total characters14638
Distinct characters107
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique379 ?
Unique (%)76.0%

Sample

1st row서울특별시 동대문구 답십리로48길 38 (답십리동,1층)
2nd row서울특별시 동대문구 경희대로 6-1 (회기동,지하1층)
3rd row서울특별시 동대문구 사가정로 121 (전농동)
4th row서울특별시 동대문구 장한로33길 40 (장안동,1층)
5th row서울특별시 동대문구 천호대로91길 41 (장안동,1층)
ValueCountFrequency (%)
서울특별시 499
19.1%
동대문구 499
19.1%
장안동,1층 77
 
2.9%
왕산로 69
 
2.6%
장한로 58
 
2.2%
장안동 54
 
2.1%
2층 40
 
1.5%
전농동 35
 
1.3%
청량리동 32
 
1.2%
답십리로 24
 
0.9%
Other values (411) 1226
46.9%
2024-05-11T15:46:34.045141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2508
 
17.1%
동 1008
 
6.9%
1 696
 
4.8%
대 552
 
3.8%
문 550
 
3.8%
시 512
 
3.5%
서 508
 
3.5%
( 505
 
3.4%
) 505
 
3.4%
울 505
 
3.4%
Other values (97) 6789
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8594
58.7%
Space Separator 2508
 
17.1%
Decimal Number 2028
 
13.9%
Open Punctuation 505
 
3.4%
Close Punctuation 505
 
3.4%
Other Punctuation 407
 
2.8%
Dash Punctuation 88
 
0.6%
Uppercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1008
 
11.7%
대 552
 
6.4%
문 550
 
6.4%
시 512
 
6.0%
서 508
 
5.9%
울 505
 
5.9%
특 499
 
5.8%
별 499
 
5.8%
구 499
 
5.8%
로 498
 
5.8%
Other values (76) 2964
34.5%
Decimal Number
ValueCountFrequency (%)
1 696
34.3%
2 359
17.7%
3 186
 
9.2%
4 144
 
7.1%
6 134
 
6.6%
5 130
 
6.4%
0 113
 
5.6%
7 91
 
4.5%
8 89
 
4.4%
9 86
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 403
99.0%
& 2
 
0.5%
. 1
 
0.2%
? 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
2508
100.0%
Open Punctuation
ValueCountFrequency (%)
( 505
100.0%
Close Punctuation
ValueCountFrequency (%)
) 505
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8594
58.7%
Common 6042
41.3%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1008
 
11.7%
대 552
 
6.4%
문 550
 
6.4%
시 512
 
6.0%
서 508
 
5.9%
울 505
 
5.9%
특 499
 
5.8%
별 499
 
5.8%
구 499
 
5.8%
로 498
 
5.8%
Other values (76) 2964
34.5%
Common
ValueCountFrequency (%)
2508
41.5%
1 696
 
11.5%
( 505
 
8.4%
) 505
 
8.4%
, 403
 
6.7%
2 359
 
5.9%
3 186
 
3.1%
4 144
 
2.4%
6 134
 
2.2%
5 130
 
2.2%
Other values (9) 472
 
7.8%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8594
58.7%
ASCII 6044
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2508
41.5%
1 696
 
11.5%
( 505
 
8.4%
) 505
 
8.4%
, 403
 
6.7%
2 359
 
5.9%
3 186
 
3.1%
4 144
 
2.4%
6 134
 
2.2%
5 130
 
2.2%
Other values (11) 474
 
7.8%
Hangul
ValueCountFrequency (%)
동 1008
 
11.7%
대 552
 
6.4%
문 550
 
6.4%
시 512
 
6.0%
서 508
 
5.9%
울 505
 
5.9%
특 499
 
5.8%
별 499
 
5.8%
구 499
 
5.8%
로 498
 
5.8%
Other values (76) 2964
34.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)24.0%
Missing461
Missing (%)81.6%
Infinite0
Infinite (%)0.0%
Mean38292.038
Minimum2488
Maximum130870
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-05-11T15:46:34.217352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2488
5-th percentile2490
Q12571.75
median2612.5
Q3130038.25
95-th percentile130861.2
Maximum130870
Range128382
Interquartile range (IQR)127466.5

Descriptive statistics

Standard deviation57713.642
Coefficient of variation (CV)1.5071969
Kurtosis-1.0181676
Mean38292.038
Median Absolute Deviation (MAD)53.5
Skewness1.0008686
Sum3982372
Variance3.3308645 × 109
MonotonicityNot monotonic
2024-05-11T15:46:34.390867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
2573 15
 
2.7%
2559 13
 
2.3%
2572 10
 
1.8%
2639 9
 
1.6%
2624 9
 
1.6%
130851 8
 
1.4%
2490 8
 
1.4%
130840 6
 
1.1%
2622 5
 
0.9%
2554 3
 
0.5%
Other values (15) 18
 
3.2%
(Missing) 461
81.6%
ValueCountFrequency (%)
2488 1
 
0.2%
2490 8
1.4%
2554 3
 
0.5%
2559 13
2.3%
2571 1
 
0.2%
2572 10
1.8%
2573 15
2.7%
2603 1
 
0.2%
2622 5
 
0.9%
2624 9
1.6%
ValueCountFrequency (%)
130870 3
 
0.5%
130867 1
 
0.2%
130865 1
 
0.2%
130863 1
 
0.2%
130851 8
1.4%
130840 6
1.1%
130817 1
 
0.2%
130805 1
 
0.2%
130101 2
 
0.4%
130070 1
 
0.2%

사업장명
Text

Distinct469
Distinct (%)83.0%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2024-05-11T15:46:34.723498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length4.9646018
Min length1

Characters and Unicode

Total characters2805
Distinct characters336
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

Unique405 ?
Unique (%)71.7%

Sample

1st row쌍마
2nd row게임파크
3rd row올림픽
4th row만능
5th row스마일
ValueCountFrequency (%)
게임랜드 16
 
2.7%
현대 7
 
1.2%
장안게임랜드 6
 
1.0%
스타게임랜드 4
 
0.7%
제일게임랜드 4
 
0.7%
게임천국 4
 
0.7%
제일 3
 
0.5%
게임장 3
 
0.5%
스타 3
 
0.5%
아마겟돈 3
 
0.5%
Other values (468) 532
90.9%
2024-05-11T15:46:35.291077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 263
 
9.4%
임 261
 
9.3%
드 192
 
6.8%
랜 160
 
5.7%
장 91
 
3.2%
오 84
 
3.0%
실 74
 
2.6%
락 73
 
2.6%
스 54
 
1.9%
대 43
 
1.5%
Other values (326) 1510
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2702
96.3%
Decimal Number 33
 
1.2%
Uppercase Letter 32
 
1.1%
Space Separator 20
 
0.7%
Close Punctuation 5
 
0.2%
Other Punctuation 5
 
0.2%
Open Punctuation 4
 
0.1%
Dash Punctuation 2
 
0.1%
Letter Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 263
 
9.7%
임 261
 
9.7%
드 192
 
7.1%
랜 160
 
5.9%
장 91
 
3.4%
오 84
 
3.1%
실 74
 
2.7%
락 73
 
2.7%
스 54
 
2.0%
대 43
 
1.6%
Other values (293) 1407
52.1%
Uppercase Letter
ValueCountFrequency (%)
D 5
15.6%
M 4
12.5%
K 3
9.4%
S 3
9.4%
E 3
9.4%
N 2
 
6.2%
O 2
 
6.2%
T 2
 
6.2%
Z 2
 
6.2%
U 1
 
3.1%
Other values (5) 5
15.6%
Decimal Number
ValueCountFrequency (%)
8 9
27.3%
2 8
24.2%
0 4
12.1%
1 3
 
9.1%
9 3
 
9.1%
6 2
 
6.1%
4 2
 
6.1%
3 1
 
3.0%
7 1
 
3.0%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
& 1
 
20.0%
! 1
 
20.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2702
96.3%
Common 69
 
2.5%
Latin 34
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 263
 
9.7%
임 261
 
9.7%
드 192
 
7.1%
랜 160
 
5.9%
장 91
 
3.4%
오 84
 
3.1%
실 74
 
2.7%
락 73
 
2.7%
스 54
 
2.0%
대 43
 
1.6%
Other values (293) 1407
52.1%
Latin
ValueCountFrequency (%)
D 5
14.7%
M 4
11.8%
K 3
8.8%
S 3
8.8%
E 3
8.8%
N 2
 
5.9%
O 2
 
5.9%
T 2
 
5.9%
Z 2
 
5.9%
Ⅰ 1
 
2.9%
Other values (7) 7
20.6%
Common
ValueCountFrequency (%)
20
29.0%
8 9
13.0%
2 8
 
11.6%
) 5
 
7.2%
0 4
 
5.8%
( 4
 
5.8%
. 3
 
4.3%
1 3
 
4.3%
9 3
 
4.3%
6 2
 
2.9%
Other values (6) 8
 
11.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2702
96.3%
ASCII 101
 
3.6%
Number Forms 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 263
 
9.7%
임 261
 
9.7%
드 192
 
7.1%
랜 160
 
5.9%
장 91
 
3.4%
오 84
 
3.1%
실 74
 
2.7%
락 73
 
2.7%
스 54
 
2.0%
대 43
 
1.6%
Other values (293) 1407
52.1%
ASCII
ValueCountFrequency (%)
20
19.8%
8 9
 
8.9%
2 8
 
7.9%
) 5
 
5.0%
D 5
 
5.0%
M 4
 
4.0%
0 4
 
4.0%
( 4
 
4.0%
K 3
 
3.0%
. 3
 
3.0%
Other values (21) 36
35.6%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%

최종수정일자
Date

Distinct297
Distinct (%)52.6%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
Minimum2003-04-18 15:38:21
Maximum2024-02-01 16:28:01
2024-05-11T15:46:35.485955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:46:35.706663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
I
515 
U
 
50

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 515
91.2%
U 50
 
8.8%

Length

2024-05-11T15:46:35.961755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:36.111144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 515
91.2%
u 50
 
8.8%

데이터갱신일자
Categorical

IMBALANCE 

Distinct49
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2018-08-31 23:59:59.0
514 
2022-11-02 00:01:00.0
 
2
2023-12-02 00:03:00.0
 
2
2022-12-05 23:00:00.0
 
2
2018-09-04 23:59:59.0
 
1
Other values (44)
 
44

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique45 ?
Unique (%)8.0%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 514
91.0%
2022-11-02 00:01:00.0 2
 
0.4%
2023-12-02 00:03:00.0 2
 
0.4%
2022-12-05 23:00:00.0 2
 
0.4%
2018-09-04 23:59:59.0 1
 
0.2%
2022-01-07 02:40:00.0 1
 
0.2%
2021-10-31 00:08:00.0 1
 
0.2%
2020-06-25 02:40:00.0 1
 
0.2%
2019-07-24 02:40:00.0 1
 
0.2%
2021-01-02 02:40:00.0 1
 
0.2%
Other values (39) 39
 
6.9%

Length

2024-05-11T15:46:36.605392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59:59.0 516
45.7%
2018-08-31 514
45.5%
02:40:00.0 27
 
2.4%
2022-12-06 4
 
0.4%
00:08:00.0 3
 
0.3%
2022-12-08 3
 
0.3%
00:01:00.0 3
 
0.3%
2022-11-02 3
 
0.3%
2022-12-05 2
 
0.2%
2022-12-03 2
 
0.2%
Other values (46) 53
 
4.7%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing565
Missing (%)100.0%
Memory size5.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct377
Distinct (%)71.4%
Missing37
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean204774.5
Minimum202045.58
Maximum206538.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-05-11T15:46:36.880626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202045.58
5-th percentile202919.57
Q1203853.19
median204909.51
Q3205837.11
95-th percentile206210.13
Maximum206538.85
Range4493.2674
Interquartile range (IQR)1983.9221

Descriptive statistics

Standard deviation1111.0605
Coefficient of variation (CV)0.0054257755
Kurtosis-0.99580027
Mean204774.5
Median Absolute Deviation (MAD)1012.6059
Skewness-0.2704991
Sum1.0812094 × 108
Variance1234455.4
MonotonicityNot monotonic
2024-05-11T15:46:37.124685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
206117.295011037 10
 
1.8%
203743.598607972 8
 
1.4%
204111.560496259 8
 
1.4%
204089.817117361 8
 
1.4%
206158.609154575 7
 
1.2%
203803.484634588 7
 
1.2%
203847.879299723 6
 
1.1%
203701.43885669 5
 
0.9%
203592.144168644 5
 
0.9%
204468.998618777 5
 
0.9%
Other values (367) 459
81.2%
(Missing) 37
 
6.5%
ValueCountFrequency (%)
202045.581261433 1
0.2%
202137.437125277 1
0.2%
202153.887480633 1
0.2%
202156.140192764 1
0.2%
202158.847156693 1
0.2%
202180.141420844 1
0.2%
202211.304378289 1
0.2%
202370.671316153 1
0.2%
202396.724538342 1
0.2%
202442.354041404 1
0.2%
ValueCountFrequency (%)
206538.84863498 1
0.2%
206524.120752695 1
0.2%
206477.23276128 1
0.2%
206460.770782597 1
0.2%
206443.559967562 1
0.2%
206424.004417207 1
0.2%
206391.975425701 1
0.2%
206379.150564333 1
0.2%
206375.404579295 1
0.2%
206360.332729518 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct377
Distinct (%)71.4%
Missing37
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean452893.47
Minimum451038.45
Maximum455797.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-05-11T15:46:37.348290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451038.45
5-th percentile451457.89
Q1452058.37
median452907.44
Q3453329.24
95-th percentile454834.92
Maximum455797.42
Range4758.9633
Interquartile range (IQR)1270.8704

Descriptive statistics

Standard deviation1031.2055
Coefficient of variation (CV)0.0022769273
Kurtosis-0.34693464
Mean452893.47
Median Absolute Deviation (MAD)763.70087
Skewness0.51157284
Sum2.3912775 × 108
Variance1063384.8
MonotonicityNot monotonic
2024-05-11T15:46:37.576538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451867.005076753 10
 
1.8%
452993.535471829 8
 
1.4%
453248.686865499 8
 
1.4%
453314.135663101 8
 
1.4%
452075.431032307 7
 
1.2%
453084.117645319 7
 
1.2%
453156.130497033 6
 
1.1%
452950.256649845 5
 
0.9%
453003.483326636 5
 
0.9%
451783.297252042 5
 
0.9%
Other values (367) 459
81.2%
(Missing) 37
 
6.5%
ValueCountFrequency (%)
451038.454241239 1
 
0.2%
451053.76563095 1
 
0.2%
451057.528462082 1
 
0.2%
451061.072414994 1
 
0.2%
451068.286357945 1
 
0.2%
451070.709075884 1
 
0.2%
451106.632184873 1
 
0.2%
451110.245309908 4
0.7%
451130.882150272 1
 
0.2%
451166.490989942 1
 
0.2%
ValueCountFrequency (%)
455797.417581881 1
0.2%
455774.398634748 1
0.2%
455651.162091866 1
0.2%
455642.816057651 1
0.2%
455330.476532303 1
0.2%
455320.011455821 1
0.2%
455202.911350691 1
0.2%
455155.582663138 1
0.2%
455139.055232126 2
0.4%
455134.539842492 2
0.4%

문화체육업종명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
게임제공업
457 
일반게임제공업
86 
<NA>
 
22

Length

Max length7
Median length5
Mean length5.2654867
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임제공업 457
80.9%
일반게임제공업 86
 
15.2%
<NA> 22
 
3.9%

Length

2024-05-11T15:46:37.808179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:37.988363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임제공업 457
80.9%
일반게임제공업 86
 
15.2%
na 22
 
3.9%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
유통관련업
543 
<NA>
 
22

Length

Max length5
Median length5
Mean length4.9610619
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 543
96.1%
<NA> 22
 
3.9%

Length

2024-05-11T15:46:38.210390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:38.401024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 543
96.1%
na 22
 
3.9%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)5.6%
Missing352
Missing (%)62.3%
Infinite0
Infinite (%)0.0%
Mean2.1173709
Minimum0
Maximum45
Zeros114
Zeros (%)20.2%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-05-11T15:46:38.566504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile6
Maximum45
Range45
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.9069759
Coefficient of variation (CV)1.8452015
Kurtosis68.969444
Mean2.1173709
Median Absolute Deviation (MAD)0
Skewness6.7184394
Sum451
Variance15.264461
MonotonicityNot monotonic
2024-05-11T15:46:38.757830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 114
 
20.2%
5 22
 
3.9%
4 21
 
3.7%
3 17
 
3.0%
2 11
 
1.9%
6 10
 
1.8%
1 9
 
1.6%
7 5
 
0.9%
45 1
 
0.2%
18 1
 
0.2%
Other values (2) 2
 
0.4%
(Missing) 352
62.3%
ValueCountFrequency (%)
0 114
20.2%
1 9
 
1.6%
2 11
 
1.9%
3 17
 
3.0%
4 21
 
3.7%
5 22
 
3.9%
6 10
 
1.8%
7 5
 
0.9%
8 1
 
0.2%
9 1
 
0.2%
ValueCountFrequency (%)
45 1
 
0.2%
18 1
 
0.2%
9 1
 
0.2%
8 1
 
0.2%
7 5
 
0.9%
6 10
1.8%
5 22
3.9%
4 21
3.7%
3 17
3.0%
2 11
1.9%

주변환경명
Categorical

Distinct6
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
<NA>
345 
주택가주변
110 
기타
76 
유흥업소밀집지역
 
25
아파트지역
 
5

Length

Max length8
Median length4
Mean length4.1327434
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 345
61.1%
주택가주변 110
 
19.5%
기타 76
 
13.5%
유흥업소밀집지역 25
 
4.4%
아파트지역 5
 
0.9%
결혼예식장주변 4
 
0.7%

Length

2024-05-11T15:46:38.980641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:39.178020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 345
61.1%
주택가주변 110
 
19.5%
기타 76
 
13.5%
유흥업소밀집지역 25
 
4.4%
아파트지역 5
 
0.9%
결혼예식장주변 4
 
0.7%

제작취급품목내용
Text

MISSING 

Distinct66
Distinct (%)79.5%
Missing482
Missing (%)85.3%
Memory size4.5 KiB
2024-05-11T15:46:39.561588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length117
Median length44
Mean length22.060241
Min length3

Characters and Unicode

Total characters1831
Distinct characters195
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

Unique62 ?
Unique (%)74.7%

Sample

1st row고빙고(GoBingo)
2nd row씨포카, 짝패오션
3rd row아케이드게임물
4th row아케이드게임물
5th row아케이드게임물
ValueCountFrequency (%)
황금포커성 19
 
6.8%
아케이드게임물 15
 
5.4%
30대 13
 
4.7%
불타는불새 12
 
4.3%
50대 9
 
3.2%
불타는 7
 
2.5%
70대 7
 
2.5%
불새 6
 
2.2%
슈퍼드래곤3 6
 
2.2%
슈퍼드래곤 5
 
1.8%
Other values (127) 179
64.4%
2024-05-11T15:46:40.250166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
212
 
11.6%
대 130
 
7.1%
, 106
 
5.8%
0 91
 
5.0%
불 53
 
2.9%
포 48
 
2.6%
2 43
 
2.3%
커 37
 
2.0%
3 36
 
2.0%
1 35
 
1.9%
Other values (185) 1040
56.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1056
57.7%
Decimal Number 303
 
16.5%
Space Separator 212
 
11.6%
Other Punctuation 119
 
6.5%
Lowercase Letter 44
 
2.4%
Uppercase Letter 35
 
1.9%
Open Punctuation 28
 
1.5%
Close Punctuation 28
 
1.5%
Dash Punctuation 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 130
 
12.3%
불 53
 
5.0%
포 48
 
4.5%
커 37
 
3.5%
황 33
 
3.1%
금 33
 
3.1%
드 32
 
3.0%
성 29
 
2.7%
이 29
 
2.7%
타 26
 
2.5%
Other values (137) 606
57.4%
Uppercase Letter
ValueCountFrequency (%)
C 5
14.3%
A 5
14.3%
K 4
11.4%
P 3
8.6%
B 3
8.6%
O 2
 
5.7%
E 2
 
5.7%
R 2
 
5.7%
N 2
 
5.7%
D 1
 
2.9%
Other values (6) 6
17.1%
Lowercase Letter
ValueCountFrequency (%)
r 7
15.9%
e 6
13.6%
a 5
11.4%
o 4
9.1%
s 4
9.1%
t 3
6.8%
k 3
6.8%
i 3
6.8%
g 2
 
4.5%
n 2
 
4.5%
Other values (5) 5
11.4%
Decimal Number
ValueCountFrequency (%)
0 91
30.0%
2 43
14.2%
3 36
 
11.9%
1 35
 
11.6%
5 31
 
10.2%
4 25
 
8.3%
7 12
 
4.0%
8 12
 
4.0%
6 10
 
3.3%
9 8
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 106
89.1%
/ 11
 
9.2%
. 2
 
1.7%
Space Separator
ValueCountFrequency (%)
212
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1056
57.7%
Common 696
38.0%
Latin 79
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 130
 
12.3%
불 53
 
5.0%
포 48
 
4.5%
커 37
 
3.5%
황 33
 
3.1%
금 33
 
3.1%
드 32
 
3.0%
성 29
 
2.7%
이 29
 
2.7%
타 26
 
2.5%
Other values (137) 606
57.4%
Latin
ValueCountFrequency (%)
r 7
 
8.9%
e 6
 
7.6%
C 5
 
6.3%
A 5
 
6.3%
a 5
 
6.3%
o 4
 
5.1%
s 4
 
5.1%
K 4
 
5.1%
t 3
 
3.8%
P 3
 
3.8%
Other values (21) 33
41.8%
Common
ValueCountFrequency (%)
212
30.5%
, 106
15.2%
0 91
13.1%
2 43
 
6.2%
3 36
 
5.2%
1 35
 
5.0%
5 31
 
4.5%
( 28
 
4.0%
) 28
 
4.0%
4 25
 
3.6%
Other values (7) 61
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1056
57.7%
ASCII 775
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
212
27.4%
, 106
13.7%
0 91
11.7%
2 43
 
5.5%
3 36
 
4.6%
1 35
 
4.5%
5 31
 
4.0%
( 28
 
3.6%
) 28
 
3.6%
4 25
 
3.2%
Other values (38) 140
18.1%
Hangul
ValueCountFrequency (%)
대 130
 
12.3%
불 53
 
5.0%
포 48
 
4.5%
커 37
 
3.5%
황 33
 
3.1%
금 33
 
3.1%
드 32
 
3.0%
성 29
 
2.7%
이 29
 
2.7%
타 26
 
2.5%
Other values (137) 606
57.4%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct97
Distinct (%)25.0%
Missing177
Missing (%)31.3%
Infinite0
Infinite (%)0.0%
Mean209.38652
Minimum0
Maximum25949.76
Zeros255
Zeros (%)45.1%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-05-11T15:46:40.563194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3119.44
95-th percentile437.161
Maximum25949.76
Range25949.76
Interquartile range (IQR)119.44

Descriptive statistics

Standard deviation1573.5548
Coefficient of variation (CV)7.5150719
Kurtosis201.80265
Mean209.38652
Median Absolute Deviation (MAD)0
Skewness13.590107
Sum81241.97
Variance2476074.6
MonotonicityNot monotonic
2024-05-11T15:46:40.781193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 255
45.1%
243.17 6
 
1.1%
272.43 6
 
1.1%
543.9 4
 
0.7%
327.5 3
 
0.5%
274.21 3
 
0.5%
119.44 3
 
0.5%
290.55 3
 
0.5%
113.88 3
 
0.5%
220.63 3
 
0.5%
Other values (87) 99
 
17.5%
(Missing) 177
31.3%
ValueCountFrequency (%)
0.0 255
45.1%
27.07 1
 
0.2%
48.3 1
 
0.2%
49.5 1
 
0.2%
54.12 1
 
0.2%
59.4 1
 
0.2%
62.0 1
 
0.2%
66.0 1
 
0.2%
69.4 1
 
0.2%
72.72 1
 
0.2%
ValueCountFrequency (%)
25949.76 1
 
0.2%
12065.26 1
 
0.2%
12065.0 1
 
0.2%
878.55 1
 
0.2%
670.94 1
 
0.2%
660.0 1
 
0.2%
659.32 1
 
0.2%
543.9 4
0.7%
535.59 1
 
0.2%
489.26 1
 
0.2%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)4.3%
Missing332
Missing (%)58.8%
Infinite0
Infinite (%)0.0%
Mean1.7167382
Minimum0
Maximum11
Zeros114
Zeros (%)20.2%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-05-11T15:46:40.970439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile5
Maximum11
Range11
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.0774909
Coefficient of variation (CV)1.2101385
Kurtosis1.1607219
Mean1.7167382
Median Absolute Deviation (MAD)1
Skewness1.1308433
Sum400
Variance4.3159686
MonotonicityNot monotonic
2024-05-11T15:46:41.133128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 114
 
20.2%
2 29
 
5.1%
4 28
 
5.0%
3 24
 
4.2%
5 17
 
3.0%
1 13
 
2.3%
8 3
 
0.5%
6 3
 
0.5%
11 1
 
0.2%
7 1
 
0.2%
(Missing) 332
58.8%
ValueCountFrequency (%)
0 114
20.2%
1 13
 
2.3%
2 29
 
5.1%
3 24
 
4.2%
4 28
 
5.0%
5 17
 
3.0%
6 3
 
0.5%
7 1
 
0.2%
8 3
 
0.5%
11 1
 
0.2%
ValueCountFrequency (%)
11 1
 
0.2%
8 3
 
0.5%
7 1
 
0.2%
6 3
 
0.5%
5 17
 
3.0%
4 28
 
5.0%
3 24
 
4.2%
2 29
 
5.1%
1 13
 
2.3%
0 114
20.2%

지하층수
Categorical

Distinct6
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
<NA>
357 
0
128 
1
74 
2
 
4
7
 
1

Length

Max length4
Median length4
Mean length2.8955752
Min length1

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 357
63.2%
0 128
 
22.7%
1 74
 
13.1%
2 4
 
0.7%
7 1
 
0.2%
3 1
 
0.2%

Length

2024-05-11T15:46:41.357590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:41.536367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 357
63.2%
0 128
 
22.7%
1 74
 
13.1%
2 4
 
0.7%
7 1
 
0.2%
3 1
 
0.2%

건물용도명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
<NA>
385 
근린생활시설
164 
판매시설
 
14
숙박시설
 
1
단독주택
 
1

Length

Max length6
Median length4
Mean length4.580531
Min length4

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 385
68.1%
근린생활시설 164
29.0%
판매시설 14
 
2.5%
숙박시설 1
 
0.2%
단독주택 1
 
0.2%

Length

2024-05-11T15:46:41.720856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:41.903545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 385
68.1%
근린생활시설 164
29.0%
판매시설 14
 
2.5%
숙박시설 1
 
0.2%
단독주택 1
 
0.2%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
<NA>
564 
0
 
1

Length

Max length4
Median length4
Mean length3.9946903
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 564
99.8%
0 1
 
0.2%

Length

2024-05-11T15:46:42.106566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:42.264397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 564
99.8%
0 1
 
0.2%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
<NA>
564 
0
 
1

Length

Max length4
Median length4
Mean length3.9946903
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 564
99.8%
0 1
 
0.2%

Length

2024-05-11T15:46:42.449375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:42.629677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 564
99.8%
0 1
 
0.2%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
<NA>
564 
0
 
1

Length

Max length4
Median length4
Mean length3.9946903
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 564
99.8%
0 1
 
0.2%

Length

2024-05-11T15:46:42.819020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:42.996374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 564
99.8%
0 1
 
0.2%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
<NA>
564 
0
 
1

Length

Max length4
Median length4
Mean length3.9946903
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 564
99.8%
0 1
 
0.2%

Length

2024-05-11T15:46:43.541505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:43.720183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 564
99.8%
0 1
 
0.2%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing565
Missing (%)100.0%
Memory size5.1 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing565
Missing (%)100.0%
Memory size5.1 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing565
Missing (%)100.0%
Memory size5.1 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing565
Missing (%)100.0%
Memory size5.1 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing565
Missing (%)100.0%
Memory size5.1 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing565
Missing (%)100.0%
Memory size5.1 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing565
Missing (%)100.0%
Memory size5.1 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing565
Missing (%)100.0%
Memory size5.1 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing565
Missing (%)100.0%
Memory size5.1 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing565
Missing (%)100.0%
Memory size5.1 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing565
Missing (%)100.0%
Memory size5.1 KiB

총게임기수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
<NA>
563 
50
 
1
117
 
1

Length

Max length4
Median length4
Mean length3.9946903
Min length2

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 563
99.6%
50 1
 
0.2%
117 1
 
0.2%

Length

2024-05-11T15:46:43.928420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:44.142223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 563
99.6%
50 1
 
0.2%
117 1
 
0.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing565
Missing (%)100.0%
Memory size5.1 KiB

제공게임물명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
<NA>
473 
청소년이용불가
82 
전체이용가
 
9
전체이용가 및 청소년이용불가
 
1

Length

Max length15
Median length4
Mean length4.4707965
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 473
83.7%
청소년이용불가 82
 
14.5%
전체이용가 9
 
1.6%
전체이용가 및 청소년이용불가 1
 
0.2%

Length

2024-05-11T15:46:44.333049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:44.504858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 473
83.4%
청소년이용불가 83
 
14.6%
전체이용가 10
 
1.8%
및 1
 
0.2%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing565
Missing (%)100.0%
Memory size5.1 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing565
Missing (%)100.0%
Memory size5.1 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing565
Missing (%)100.0%
Memory size5.1 KiB

지역구분명
Categorical

IMBALANCE 

Distinct8
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
<NA>
409 
근린상업지역
128 
상업지역
 
9
일반상업지역
 
9
공업지역
 
7
Other values (3)
 
3

Length

Max length6
Median length4
Mean length4.4938053
Min length4

Unique

Unique3 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 409
72.4%
근린상업지역 128
 
22.7%
상업지역 9
 
1.6%
일반상업지역 9
 
1.6%
공업지역 7
 
1.2%
일반주거지역 1
 
0.2%
준주거지역 1
 
0.2%
중심상업지역 1
 
0.2%

Length

2024-05-11T15:46:44.722139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:44.953492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 409
72.4%
근린상업지역 128
 
22.7%
상업지역 9
 
1.6%
일반상업지역 9
 
1.6%
공업지역 7
 
1.2%
일반주거지역 1
 
0.2%
준주거지역 1
 
0.2%
중심상업지역 1
 
0.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03050000CDFF224101198500000119850131<NA>3폐업03폐업19940926<NA><NA><NA>0245-0711<NA>130883서울특별시 동대문구 답십리동 50-35번지 1층서울특별시 동대문구 답십리로48길 38 (답십리동,1층)<NA>쌍마2003-04-18 15:38:21I2018-08-31 23:59:59.0<NA>205028.036362452097.331106게임제공업유통관련업<NA>주택가주변<NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13050000CDFF224101198500000319850316<NA>3폐업03폐업19991117<NA><NA><NA>962-9713<NA>130872서울특별시 동대문구 회기동 16-52번지 지하1층서울특별시 동대문구 경희대로 6-1 (회기동,지하1층)<NA>게임파크2003-04-18 15:38:21I2018-08-31 23:59:59.0<NA>204576.772337454427.223119게임제공업유통관련업0주택가주변<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>
23050000CDFF224101198500000519850329<NA>3폐업03폐업19970618<NA><NA><NA>213-6728<NA>130850서울특별시 동대문구 전농동 38-24번지서울특별시 동대문구 사가정로 121 (전농동)<NA>올림픽2003-04-18 15:38:21I2018-08-31 23:59:59.0<NA>205096.0319452842.927087게임제공업유통관련업<NA>주택가주변<NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33050000CDFF224101198500000619850403<NA>3폐업03폐업20011225<NA><NA><NA>0247-3592<NA>130836서울특별시 동대문구 장안동 116-7번지 1층서울특별시 동대문구 장한로33길 40 (장안동,1층)<NA>만능2003-04-18 15:38:21I2018-08-31 23:59:59.0<NA>206090.523702452711.678825게임제공업유통관련업0아파트지역<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>
43050000CDFF224101198500000819850403<NA>3폐업03폐업20010528<NA><NA><NA>2212-9298<NA>130845서울특별시 동대문구 장안동 444-11번지 1층서울특별시 동대문구 천호대로91길 41 (장안동,1층)<NA>스마일2003-04-18 15:38:21I2018-08-31 23:59:59.0<NA>206065.130174451249.68406게임제공업유통관련업<NA>주택가주변<NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53050000CDFF224101198500000919850403<NA>3폐업03폐업19980605<NA><NA><NA>0-0000<NA>130860서울특별시 동대문구 제기동 137-68번지서울특별시 동대문구 안암로22길 6 (제기동)<NA>고려컴퓨터2003-04-18 15:38:21I2018-08-31 23:59:59.0<NA>203026.871857453982.571675게임제공업유통관련업<NA>주택가주변<NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63050000CDFF224101198500001019850408<NA>3폐업03폐업19970808<NA><NA><NA>248-7785<NA>130805서울특별시 동대문구 답십리동 490-123번지서울특별시 동대문구 전농로 21 (답십리동)<NA>현대2003-04-18 15:38:21I2018-08-31 23:59:59.0<NA>204901.946875451631.867129게임제공업유통관련업<NA>주택가주변<NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73050000CDFF224101198500001119850408<NA>3폐업03폐업19960702<NA><NA><NA>923-0156<NA>130821서울특별시 동대문구 용두동 130-10번지서울특별시 동대문구 무학로 160 (용두동)<NA>대성2003-04-18 15:38:21I2018-08-31 23:59:59.0<NA>202624.837036452908.167333게임제공업유통관련업<NA>주택가주변<NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83050000CDFF224101198500001219850504<NA>3폐업03폐업20010816<NA><NA><NA>0244-3585<NA>130852서울특별시 동대문구 전농동 124-68번지 1층<NA><NA>시립2003-04-18 15:38:21I2018-08-31 23:59:59.0<NA><NA><NA>게임제공업유통관련업<NA>주택가주변<NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93050000CDFF224101198500001319850508<NA>3폐업03폐업20011211<NA><NA><NA>0968-3572<NA>130080서울특별시 동대문구 이문동 258-25번지 1층서울특별시 동대문구 이문로 142 (이문동,1층)<NA>천재2003-04-18 15:38:21I2018-08-31 23:59:59.0<NA>205404.91651455202.911351게임제공업유통관련업<NA>주택가주변<NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
5553050000CDFF22411320220000042022-10-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 제기동 655서울특별시 동대문구 왕산로 163-1, 1층 (제기동)2572앗싸게임랜드2023-05-30 10:21:45U2022-12-06 00:01:00.0<NA>203592.144169453003.483327<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5563050000CDFF22411320230000012023-02-23<NA>3폐업03폐업2023-07-10<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 365-8서울특별시 동대문구 장한로 96, 2층 (장안동)2639대박게임랜드2023-07-10 14:44:21U2022-12-06 23:03:00.0<NA>206117.295011451867.005077<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5573050000CDFF22411320230000022023-03-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 청량리동 50-1서울특별시 동대문구 왕산로 253-1, 2층 (청량리동)2488성심 게임장2023-06-08 10:58:01U2022-12-05 23:00:00.0<NA>204292.104896453518.285837<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5583050000CDFF22411320230000032023-03-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 청량리동 249서울특별시 동대문구 왕산로 211-1, 2층 (청량리동)2490ET게임랜드2023-06-08 10:58:48U2022-12-05 23:00:00.0<NA>204007.767059453209.916468<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5593050000CDFF22411320230000042023-05-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 청량리동 741서울특별시 동대문구 왕산로37길 12, 2층 (청량리동)2573로얄게임랜드2023-11-29 14:32:49U2022-11-02 00:01:00.0<NA>203847.8793453156.130497<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5603050000CDFF22411320230000052023-06-08<NA>3폐업03폐업2023-11-30<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 제기동 635-16서울특별시 동대문구 경동시장로2길 31, 2층 (제기동)2572행운게임랜드2023-12-04 13:24:08U2022-11-02 00:06:00.0<NA>203709.829264453104.611186<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5613050000CDFF22411320230000062023-07-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 365-8서울특별시 동대문구 장한로 96, 2층 (장안동)2639서울게임장2023-11-29 14:23:28U2022-11-02 00:01:00.0<NA>206117.295011451867.005077<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5623050000CDFF22411320230000072023-09-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 전농동 620-70서울특별시 동대문구 왕산로 178, 2층 (전농동)2559대박게임장2023-09-22 17:26:39I2022-12-08 22:04:00.0<NA>203743.598608452993.535472<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5633050000CDFF22411320230000082023-12-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 제기동 635-16서울특별시 동대문구 경동시장로2길 31, 2층 (제기동)2572튤립게임랜드2024-02-01 16:26:44U2023-12-02 00:03:00.0<NA>203709.829264453104.611186<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5643050000CDFF22411320230000092023-12-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 전농동 622-1서울특별시 동대문구 답십리로 9, 지하층 (전농동)2559제일게임랜드2024-02-01 16:28:01U2023-12-02 00:03:00.0<NA>203757.008715452923.162316<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>