Overview

Dataset statistics

Number of variables56
Number of observations242
Missing cells5819
Missing cells (%)42.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory114.7 KiB
Average record size in memory485.5 B

Variable types

Categorical17
Text6
DateTime4
Numeric9
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
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-16835/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화체육업종명 is highly imbalanced (79.0%)Imbalance
문화사업자구분명 is highly imbalanced (79.0%)Imbalance
건물용도명 is highly imbalanced (53.6%)Imbalance
통로너비 is highly imbalanced (79.0%)Imbalance
노래방실수 is highly imbalanced (79.0%)Imbalance
청소년실수 is highly imbalanced (79.0%)Imbalance
제공게임물명 is highly imbalanced (64.9%)Imbalance
인허가취소일자 has 178 (73.6%) missing valuesMissing
폐업일자 has 85 (35.1%) missing valuesMissing
휴업시작일자 has 242 (100.0%) missing valuesMissing
휴업종료일자 has 242 (100.0%) missing valuesMissing
재개업일자 has 242 (100.0%) missing valuesMissing
전화번호 has 224 (92.6%) missing valuesMissing
소재지면적 has 242 (100.0%) missing valuesMissing
소재지우편번호 has 222 (91.7%) missing valuesMissing
도로명주소 has 17 (7.0%) missing valuesMissing
도로명우편번호 has 137 (56.6%) missing valuesMissing
업태구분명 has 242 (100.0%) missing valuesMissing
좌표정보(X) has 3 (1.2%) missing valuesMissing
좌표정보(Y) has 3 (1.2%) missing valuesMissing
총층수 has 8 (3.3%) missing valuesMissing
제작취급품목내용 has 78 (32.2%) missing valuesMissing
시설면적 has 8 (3.3%) missing valuesMissing
지상층수 has 8 (3.3%) missing valuesMissing
비상계단여부 has 242 (100.0%) missing valuesMissing
비상구여부 has 242 (100.0%) missing valuesMissing
자동환기여부 has 242 (100.0%) missing valuesMissing
청소년실여부 has 242 (100.0%) missing valuesMissing
특수조명여부 has 242 (100.0%) missing valuesMissing
방음시설여부 has 242 (100.0%) missing valuesMissing
비디오재생기명 has 242 (100.0%) missing valuesMissing
조명시설유무 has 242 (100.0%) missing valuesMissing
음향시설여부 has 242 (100.0%) missing valuesMissing
편의시설여부 has 242 (100.0%) missing valuesMissing
소방시설여부 has 242 (100.0%) missing valuesMissing
총게임기수 has 8 (3.3%) missing valuesMissing
기존게임업외업종명 has 242 (100.0%) missing valuesMissing
공연장형태구분명 has 242 (100.0%) missing valuesMissing
품목명 has 242 (100.0%) missing valuesMissing
최초등록시점 has 242 (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
총층수 has 129 (53.3%) zerosZeros
시설면적 has 4 (1.7%) zerosZeros
지상층수 has 110 (45.5%) zerosZeros
총게임기수 has 64 (26.4%) zerosZeros

Reproduction

Analysis started2024-05-11 05:37:26.700776
Analysis finished2024-05-11 05:37:28.106062
Duration1.41 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
3180000
242 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3180000
2nd row3180000
3rd row3180000
4th row3180000
5th row3180000

Common Values

ValueCountFrequency (%)
3180000 242
100.0%

Length

2024-05-11T14:37:28.217461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:28.376666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3180000 242
100.0%

관리번호
Text

UNIQUE 

Distinct242
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-05-11T14:37:28.917195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters4840
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

Unique242 ?
Unique (%)100.0%

Sample

1st rowCDFF2241141998000001
2nd rowCDFF2241142000000001
3rd rowCDFF2241142001000001
4th rowCDFF2241142003000001
5th rowCDFF2241142003000002
ValueCountFrequency (%)
cdff2241141998000001 1
 
0.4%
cdff2241142015000002 1
 
0.4%
cdff2241142012000011 1
 
0.4%
cdff2241142013000009 1
 
0.4%
cdff2241142012000012 1
 
0.4%
cdff2241142012000013 1
 
0.4%
cdff2241142012000014 1
 
0.4%
cdff2241142012000015 1
 
0.4%
cdff2241142013000001 1
 
0.4%
cdff2241142013000002 1
 
0.4%
Other values (232) 232
95.9%
2024-05-11T14:37:29.455638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1472
30.4%
2 814
16.8%
1 743
15.4%
4 526
 
10.9%
F 484
 
10.0%
C 242
 
5.0%
D 242
 
5.0%
8 71
 
1.5%
9 64
 
1.3%
3 63
 
1.3%
Other values (3) 119
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3872
80.0%
Uppercase Letter 968
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1472
38.0%
2 814
21.0%
1 743
19.2%
4 526
 
13.6%
8 71
 
1.8%
9 64
 
1.7%
3 63
 
1.6%
7 53
 
1.4%
5 36
 
0.9%
6 30
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 484
50.0%
C 242
25.0%
D 242
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3872
80.0%
Latin 968
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1472
38.0%
2 814
21.0%
1 743
19.2%
4 526
 
13.6%
8 71
 
1.8%
9 64
 
1.7%
3 63
 
1.6%
7 53
 
1.4%
5 36
 
0.9%
6 30
 
0.8%
Latin
ValueCountFrequency (%)
F 484
50.0%
C 242
25.0%
D 242
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4840
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1472
30.4%
2 814
16.8%
1 743
15.4%
4 526
 
10.9%
F 484
 
10.0%
C 242
 
5.0%
D 242
 
5.0%
8 71
 
1.5%
9 64
 
1.3%
3 63
 
1.3%
Other values (3) 119
 
2.5%

인허가일자
Date

Distinct218
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum1998-11-09 00:00:00
Maximum2024-03-22 00:00:00
2024-05-11T14:37:29.718540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:37:29.969531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)89.1%
Missing178
Missing (%)73.6%
Infinite0
Infinite (%)0.0%
Mean20110319
Minimum20090520
Maximum20200219
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-05-11T14:37:30.240563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090520
5-th percentile20090816
Q120100328
median20101158
Q320120114
95-th percentile20138771
Maximum20200219
Range109699
Interquartile range (IQR)19786.25

Descriptive statistics

Standard deviation18960.519
Coefficient of variation (CV)0.00094282536
Kurtosis6.9502
Mean20110319
Median Absolute Deviation (MAD)9900
Skewness2.0656907
Sum1.2870604 × 109
Variance3.5950127 × 108
MonotonicityNot monotonic
2024-05-11T14:37:30.468695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20100610 4
 
1.7%
20120112 3
 
1.2%
20090520 2
 
0.8%
20100625 2
 
0.8%
20130701 1
 
0.4%
20110526 1
 
0.4%
20110524 1
 
0.4%
20110131 1
 
0.4%
20110307 1
 
0.4%
20110223 1
 
0.4%
Other values (47) 47
 
19.4%
(Missing) 178
73.6%
ValueCountFrequency (%)
20090520 2
0.8%
20090526 1
0.4%
20090815 1
0.4%
20090819 1
0.4%
20090825 1
0.4%
20090925 1
0.4%
20091010 1
0.4%
20091031 1
0.4%
20091224 1
0.4%
20091228 1
0.4%
ValueCountFrequency (%)
20200219 1
0.4%
20150914 1
0.4%
20150720 1
0.4%
20140120 1
0.4%
20131129 1
0.4%
20131120 1
0.4%
20131022 1
0.4%
20130722 1
0.4%
20130701 1
0.4%
20130628 1
0.4%

영업상태코드
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
3
133 
4
90 
1
19 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row3
4th row3
5th row4

Common Values

ValueCountFrequency (%)
3 133
55.0%
4 90
37.2%
1 19
 
7.9%

Length

2024-05-11T14:37:30.663376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:30.816170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 133
55.0%
4 90
37.2%
1 19
 
7.9%

영업상태명
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
폐업
133 
취소/말소/만료/정지/중지
90 
영업/정상
19 

Length

Max length14
Median length2
Mean length6.6983471
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취소/말소/만료/정지/중지
2nd row취소/말소/만료/정지/중지
3rd row폐업
4th row폐업
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
폐업 133
55.0%
취소/말소/만료/정지/중지 90
37.2%
영업/정상 19
 
7.9%

Length

2024-05-11T14:37:30.999081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:31.175173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 133
55.0%
취소/말소/만료/정지/중지 90
37.2%
영업/정상 19
 
7.9%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
3
133 
31
65 
35
25 
13
19 

Length

Max length2
Median length1
Mean length1.4504132
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row35
2nd row35
3rd row3
4th row3
5th row35

Common Values

ValueCountFrequency (%)
3 133
55.0%
31 65
26.9%
35 25
 
10.3%
13 19
 
7.9%

Length

2024-05-11T14:37:31.358661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:31.536685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 133
55.0%
31 65
26.9%
35 25
 
10.3%
13 19
 
7.9%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
폐업
133 
등록취소
65 
직권말소
25 
영업중
19 

Length

Max length4
Median length2
Mean length2.822314
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 133
55.0%
등록취소 65
26.9%
직권말소 25
 
10.3%
영업중 19
 
7.9%

Length

2024-05-11T14:37:31.846725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:32.096844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 133
55.0%
등록취소 65
26.9%
직권말소 25
 
10.3%
영업중 19
 
7.9%

폐업일자
Date

MISSING 

Distinct143
Distinct (%)91.1%
Missing85
Missing (%)35.1%
Memory size2.0 KiB
Minimum2008-05-19 00:00:00
Maximum2023-07-06 00:00:00
2024-05-11T14:37:32.311689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:37:32.616571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing242
Missing (%)100.0%
Memory size2.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing242
Missing (%)100.0%
Memory size2.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing242
Missing (%)100.0%
Memory size2.3 KiB

전화번호
Text

MISSING 

Distinct15
Distinct (%)83.3%
Missing224
Missing (%)92.6%
Memory size2.0 KiB
2024-05-11T14:37:32.904455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.055556
Min length8

Characters and Unicode

Total characters199
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

Unique13 ?
Unique (%)72.2%

Sample

1st row02-849-4006
2nd row02-833-1388
3rd row02-841-7560
4th row02-2636-3290
5th row02-857-3740
ValueCountFrequency (%)
02-2676-3118 3
16.7%
02-849-4006 2
 
11.1%
02-833-1388 1
 
5.6%
02-841-7560 1
 
5.6%
02-2636-3290 1
 
5.6%
02-857-3740 1
 
5.6%
02-857-8847 1
 
5.6%
02-844-6163 1
 
5.6%
02-2679-2526 1
 
5.6%
02-835-2656 1
 
5.6%
Other values (5) 5
27.8%
2024-05-11T14:37:33.451153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 33
16.6%
2 30
15.1%
0 26
13.1%
8 25
12.6%
6 21
10.6%
7 13
 
6.5%
3 13
 
6.5%
4 12
 
6.0%
1 11
 
5.5%
5 8
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 166
83.4%
Dash Punctuation 33
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 30
18.1%
0 26
15.7%
8 25
15.1%
6 21
12.7%
7 13
7.8%
3 13
7.8%
4 12
 
7.2%
1 11
 
6.6%
5 8
 
4.8%
9 7
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 199
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 33
16.6%
2 30
15.1%
0 26
13.1%
8 25
12.6%
6 21
10.6%
7 13
 
6.5%
3 13
 
6.5%
4 12
 
6.0%
1 11
 
5.5%
5 8
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 199
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 33
16.6%
2 30
15.1%
0 26
13.1%
8 25
12.6%
6 21
10.6%
7 13
 
6.5%
3 13
 
6.5%
4 12
 
6.0%
1 11
 
5.5%
5 8
 
4.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing242
Missing (%)100.0%
Memory size2.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)55.0%
Missing222
Missing (%)91.7%
Infinite0
Infinite (%)0.0%
Mean150478.6
Minimum150033
Maximum150903
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-05-11T14:37:33.662755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum150033
5-th percentile150033
Q1150033
median150803.5
Q3150829
95-th percentile150903
Maximum150903
Range870
Interquartile range (IQR)796

Descriptive statistics

Standard deviation413.53119
Coefficient of variation (CV)0.0027481063
Kurtosis-2.1625846
Mean150478.6
Median Absolute Deviation (MAD)99.5
Skewness-0.20123335
Sum3009572
Variance171008.04
MonotonicityNot monotonic
2024-05-11T14:37:33.843694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
150033 7
 
2.9%
150841 2
 
0.8%
150903 2
 
0.8%
150813 2
 
0.8%
150820 1
 
0.4%
150899 1
 
0.4%
150034 1
 
0.4%
150803 1
 
0.4%
150825 1
 
0.4%
150804 1
 
0.4%
(Missing) 222
91.7%
ValueCountFrequency (%)
150033 7
2.9%
150034 1
 
0.4%
150042 1
 
0.4%
150803 1
 
0.4%
150804 1
 
0.4%
150813 2
 
0.8%
150820 1
 
0.4%
150825 1
 
0.4%
150841 2
 
0.8%
150899 1
 
0.4%
ValueCountFrequency (%)
150903 2
0.8%
150899 1
0.4%
150841 2
0.8%
150825 1
0.4%
150820 1
0.4%
150813 2
0.8%
150804 1
0.4%
150803 1
0.4%
150042 1
0.4%
150034 1
0.4%

지번주소
Text

Distinct217
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-05-11T14:37:34.229100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length97
Median length40
Mean length28.694215
Min length21

Characters and Unicode

Total characters6944
Distinct characters109
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

Unique198 ?
Unique (%)81.8%

Sample

1st row서울특별시 영등포구 대림동 903-52번지 (지하1층)
2nd row서울특별시 영등포구 신길동 110-28번지
3rd row서울특별시 영등포구 신길동 2365번지
4th row서울특별시 영등포구 영등포동 618-496번지 영등포역 3층
5th row서울특별시 영등포구 신길동 296-12번지 3층
ValueCountFrequency (%)
서울특별시 242
20.0%
영등포구 242
20.0%
영등포동3가 114
 
9.4%
1층 57
 
4.7%
대림동 48
 
4.0%
지하1층 27
 
2.2%
신길동 23
 
1.9%
2층 23
 
1.9%
8번지 16
 
1.3%
영등포동2가 12
 
1.0%
Other values (255) 408
33.7%
2024-05-11T14:37:34.914199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1187
 
17.1%
영 390
 
5.6%
등 389
 
5.6%
포 389
 
5.6%
1 323
 
4.7%
지 269
 
3.9%
서 252
 
3.6%
울 252
 
3.6%
동 250
 
3.6%
3 244
 
3.5%
Other values (99) 2999
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4154
59.8%
Decimal Number 1299
 
18.7%
Space Separator 1187
 
17.1%
Dash Punctuation 191
 
2.8%
Open Punctuation 44
 
0.6%
Close Punctuation 44
 
0.6%
Other Punctuation 20
 
0.3%
Uppercase Letter 3
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 390
 
9.4%
등 389
 
9.4%
포 389
 
9.4%
지 269
 
6.5%
서 252
 
6.1%
울 252
 
6.1%
동 250
 
6.0%
시 243
 
5.8%
구 243
 
5.8%
특 242
 
5.8%
Other values (80) 1235
29.7%
Decimal Number
ValueCountFrequency (%)
1 323
24.9%
3 244
18.8%
2 157
12.1%
0 120
 
9.2%
4 109
 
8.4%
5 85
 
6.5%
6 79
 
6.1%
8 71
 
5.5%
9 59
 
4.5%
7 52
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
W 1
33.3%
A 1
33.3%
D 1
33.3%
Space Separator
ValueCountFrequency (%)
1187
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 191
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4154
59.8%
Common 2787
40.1%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 390
 
9.4%
등 389
 
9.4%
포 389
 
9.4%
지 269
 
6.5%
서 252
 
6.1%
울 252
 
6.1%
동 250
 
6.0%
시 243
 
5.8%
구 243
 
5.8%
특 242
 
5.8%
Other values (80) 1235
29.7%
Common
ValueCountFrequency (%)
1187
42.6%
1 323
 
11.6%
3 244
 
8.8%
- 191
 
6.9%
2 157
 
5.6%
0 120
 
4.3%
4 109
 
3.9%
5 85
 
3.0%
6 79
 
2.8%
8 71
 
2.5%
Other values (6) 221
 
7.9%
Latin
ValueCountFrequency (%)
W 1
33.3%
A 1
33.3%
D 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4154
59.8%
ASCII 2790
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1187
42.5%
1 323
 
11.6%
3 244
 
8.7%
- 191
 
6.8%
2 157
 
5.6%
0 120
 
4.3%
4 109
 
3.9%
5 85
 
3.0%
6 79
 
2.8%
8 71
 
2.5%
Other values (9) 224
 
8.0%
Hangul
ValueCountFrequency (%)
영 390
 
9.4%
등 389
 
9.4%
포 389
 
9.4%
지 269
 
6.5%
서 252
 
6.1%
울 252
 
6.1%
동 250
 
6.0%
시 243
 
5.8%
구 243
 
5.8%
특 242
 
5.8%
Other values (80) 1235
29.7%

도로명주소
Text

MISSING 

Distinct210
Distinct (%)93.3%
Missing17
Missing (%)7.0%
Memory size2.0 KiB
2024-05-11T14:37:35.305405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length102
Median length43
Mean length33.44
Min length23

Characters and Unicode

Total characters7524
Distinct characters117
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

Unique198 ?
Unique (%)88.0%

Sample

1st row서울특별시 영등포구 디지털로 445 (대림동,(지하1층))
2nd row서울특별시 영등포구 도신로 242-4 (신길동)
3rd row서울특별시 영등포구 신풍로 87 (신길동)
4th row서울특별시 영등포구 경인로 862 (영등포동,영등포역 3층)
5th row서울특별시 영등포구 도신로 106 (신길동,3층)
ValueCountFrequency (%)
서울특별시 225
 
17.4%
영등포구 225
 
17.4%
영등포동3가 64
 
4.9%
영등포로 60
 
4.6%
1층 39
 
3.0%
대림동 24
 
1.9%
경인로 23
 
1.8%
영중로 21
 
1.6%
22 20
 
1.5%
2층 16
 
1.2%
Other values (295) 578
44.6%
2024-05-11T14:37:35.949537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1185
 
15.7%
영 473
 
6.3%
포 426
 
5.7%
등 426
 
5.7%
1 289
 
3.8%
) 266
 
3.5%
( 266
 
3.5%
2 242
 
3.2%
울 238
 
3.2%
서 238
 
3.2%
Other values (107) 3475
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4365
58.0%
Space Separator 1185
 
15.7%
Decimal Number 1177
 
15.6%
Close Punctuation 266
 
3.5%
Open Punctuation 266
 
3.5%
Other Punctuation 220
 
2.9%
Dash Punctuation 40
 
0.5%
Uppercase Letter 3
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 473
 
10.8%
포 426
 
9.8%
등 426
 
9.8%
울 238
 
5.5%
서 238
 
5.5%
동 233
 
5.3%
시 227
 
5.2%
구 226
 
5.2%
로 226
 
5.2%
별 225
 
5.2%
Other values (88) 1427
32.7%
Decimal Number
ValueCountFrequency (%)
1 289
24.6%
2 242
20.6%
3 218
18.5%
8 86
 
7.3%
4 83
 
7.1%
0 79
 
6.7%
5 64
 
5.4%
6 51
 
4.3%
7 36
 
3.1%
9 29
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
W 1
33.3%
D 1
33.3%
Space Separator
ValueCountFrequency (%)
1185
100.0%
Close Punctuation
ValueCountFrequency (%)
) 266
100.0%
Open Punctuation
ValueCountFrequency (%)
( 266
100.0%
Other Punctuation
ValueCountFrequency (%)
, 220
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4365
58.0%
Common 3156
41.9%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 473
 
10.8%
포 426
 
9.8%
등 426
 
9.8%
울 238
 
5.5%
서 238
 
5.5%
동 233
 
5.3%
시 227
 
5.2%
구 226
 
5.2%
로 226
 
5.2%
별 225
 
5.2%
Other values (88) 1427
32.7%
Common
ValueCountFrequency (%)
1185
37.5%
1 289
 
9.2%
) 266
 
8.4%
( 266
 
8.4%
2 242
 
7.7%
, 220
 
7.0%
3 218
 
6.9%
8 86
 
2.7%
4 83
 
2.6%
0 79
 
2.5%
Other values (6) 222
 
7.0%
Latin
ValueCountFrequency (%)
A 1
33.3%
W 1
33.3%
D 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4365
58.0%
ASCII 3159
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1185
37.5%
1 289
 
9.1%
) 266
 
8.4%
( 266
 
8.4%
2 242
 
7.7%
, 220
 
7.0%
3 218
 
6.9%
8 86
 
2.7%
4 83
 
2.6%
0 79
 
2.5%
Other values (9) 225
 
7.1%
Hangul
ValueCountFrequency (%)
영 473
 
10.8%
포 426
 
9.8%
등 426
 
9.8%
울 238
 
5.5%
서 238
 
5.5%
동 233
 
5.3%
시 227
 
5.2%
구 226
 
5.2%
로 226
 
5.2%
별 225
 
5.2%
Other values (88) 1427
32.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)41.0%
Missing137
Missing (%)56.6%
Infinite0
Infinite (%)0.0%
Mean61802.19
Minimum7208
Maximum150903
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-05-11T14:37:36.174744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7208
5-th percentile7257
Q17302
median7415
Q3150033
95-th percentile150841
Maximum150903
Range143695
Interquartile range (IQR)142731

Descriptive statistics

Standard deviation69772.501
Coefficient of variation (CV)1.1289649
Kurtosis-1.7868866
Mean61802.19
Median Absolute Deviation (MAD)113
Skewness0.49746096
Sum6489230
Variance4.8682019 × 109
MonotonicityNot monotonic
2024-05-11T14:37:36.383993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
150033 24
 
9.9%
7302 19
 
7.9%
7304 6
 
2.5%
150903 3
 
1.2%
7250 3
 
1.2%
7423 3
 
1.2%
7303 3
 
1.2%
150841 3
 
1.2%
150822 2
 
0.8%
150820 2
 
0.8%
Other values (33) 37
 
15.3%
(Missing) 137
56.6%
ValueCountFrequency (%)
7208 1
 
0.4%
7250 3
 
1.2%
7252 1
 
0.4%
7257 2
 
0.8%
7262 1
 
0.4%
7265 1
 
0.4%
7290 1
 
0.4%
7292 1
 
0.4%
7301 1
 
0.4%
7302 19
7.9%
ValueCountFrequency (%)
150903 3
1.2%
150900 1
 
0.4%
150861 1
 
0.4%
150841 3
1.2%
150823 1
 
0.4%
150822 2
0.8%
150820 2
0.8%
150800 1
 
0.4%
150070 1
 
0.4%
150035 1
 
0.4%

사업장명
Text

Distinct209
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-05-11T14:37:36.860508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length23
Mean length6.1942149
Min length2

Characters and Unicode

Total characters1499
Distinct characters260
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique185 ?
Unique (%)76.4%

Sample

1st row환상게임랜드
2nd row21세기게임존
3rd row밀레니엄게임랜드
4th row싸이버존게임장
5th row위너게임장
ValueCountFrequency (%)
게임랜드 17
 
5.6%
게임장 13
 
4.3%
대박게임랜드 5
 
1.7%
대림게임랜드 5
 
1.7%
게임 4
 
1.3%
잠자리 3
 
1.0%
명성게임랜드 3
 
1.0%
스타게임랜드 3
 
1.0%
놀이공간 3
 
1.0%
포마토 2
 
0.7%
Other values (218) 243
80.7%
2024-05-11T14:37:37.573831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 169
 
11.3%
임 163
 
10.9%
드 113
 
7.5%
랜 99
 
6.6%
장 67
 
4.5%
59
 
3.9%
이 31
 
2.1%
대 21
 
1.4%
스 21
 
1.4%
뽑 19
 
1.3%
Other values (250) 737
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1345
89.7%
Space Separator 59
 
3.9%
Uppercase Letter 49
 
3.3%
Lowercase Letter 16
 
1.1%
Close Punctuation 10
 
0.7%
Open Punctuation 10
 
0.7%
Other Punctuation 6
 
0.4%
Decimal Number 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 169
 
12.6%
임 163
 
12.1%
드 113
 
8.4%
랜 99
 
7.4%
장 67
 
5.0%
이 31
 
2.3%
대 21
 
1.6%
스 21
 
1.6%
뽑 19
 
1.4%
아 18
 
1.3%
Other values (211) 624
46.4%
Uppercase Letter
ValueCountFrequency (%)
N 7
14.3%
G 5
10.2%
A 5
10.2%
O 4
 
8.2%
L 4
 
8.2%
D 3
 
6.1%
Z 3
 
6.1%
E 3
 
6.1%
C 2
 
4.1%
T 2
 
4.1%
Other values (10) 11
22.4%
Lowercase Letter
ValueCountFrequency (%)
n 2
12.5%
e 2
12.5%
a 2
12.5%
d 2
12.5%
i 1
6.2%
h 1
6.2%
l 1
6.2%
m 1
6.2%
r 1
6.2%
o 1
6.2%
Other values (2) 2
12.5%
Other Punctuation
ValueCountFrequency (%)
. 4
66.7%
# 2
33.3%
Decimal Number
ValueCountFrequency (%)
2 3
75.0%
1 1
 
25.0%
Space Separator
ValueCountFrequency (%)
59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1343
89.6%
Common 89
 
5.9%
Latin 65
 
4.3%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 169
 
12.6%
임 163
 
12.1%
드 113
 
8.4%
랜 99
 
7.4%
장 67
 
5.0%
이 31
 
2.3%
대 21
 
1.6%
스 21
 
1.6%
뽑 19
 
1.4%
아 18
 
1.3%
Other values (209) 622
46.3%
Latin
ValueCountFrequency (%)
N 7
 
10.8%
G 5
 
7.7%
A 5
 
7.7%
O 4
 
6.2%
L 4
 
6.2%
D 3
 
4.6%
Z 3
 
4.6%
E 3
 
4.6%
n 2
 
3.1%
e 2
 
3.1%
Other values (22) 27
41.5%
Common
ValueCountFrequency (%)
59
66.3%
) 10
 
11.2%
( 10
 
11.2%
. 4
 
4.5%
2 3
 
3.4%
# 2
 
2.2%
1 1
 
1.1%
Han
ValueCountFrequency (%)
祥 1
50.0%
吉 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1343
89.6%
ASCII 154
 
10.3%
CJK 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 169
 
12.6%
임 163
 
12.1%
드 113
 
8.4%
랜 99
 
7.4%
장 67
 
5.0%
이 31
 
2.3%
대 21
 
1.6%
스 21
 
1.6%
뽑 19
 
1.4%
아 18
 
1.3%
Other values (209) 622
46.3%
ASCII
ValueCountFrequency (%)
59
38.3%
) 10
 
6.5%
( 10
 
6.5%
N 7
 
4.5%
G 5
 
3.2%
A 5
 
3.2%
O 4
 
2.6%
. 4
 
2.6%
L 4
 
2.6%
D 3
 
1.9%
Other values (29) 43
27.9%
CJK
ValueCountFrequency (%)
祥 1
50.0%
吉 1
50.0%

최종수정일자
Date

UNIQUE 

Distinct242
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2008-05-20 14:20:43
Maximum2024-03-22 17:08:22
2024-05-11T14:37:37.809164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:37:38.028120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
I
203 
U
39 

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 203
83.9%
U 39
 
16.1%

Length

2024-05-11T14:37:38.256320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:38.373069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 203
83.9%
u 39
 
16.1%

데이터갱신일자
Date

Distinct37
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-02 22:04:00
2024-05-11T14:37:38.534612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:37:38.752372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing242
Missing (%)100.0%
Memory size2.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct141
Distinct (%)59.0%
Missing3
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean191612.62
Minimum190339.15
Maximum193915.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-05-11T14:37:38.982020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190339.15
5-th percentile190788.56
Q1191449.52
median191660.99
Q3191776.95
95-th percentile192138.75
Maximum193915.13
Range3575.9774
Interquartile range (IQR)327.4328

Descriptive statistics

Standard deviation498.78673
Coefficient of variation (CV)0.0026030996
Kurtosis5.2173361
Mean191612.62
Median Absolute Deviation (MAD)138.38522
Skewness1.0348287
Sum45795415
Variance248788.2
MonotonicityNot monotonic
2024-05-11T14:37:39.585030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
191616.285409253 17
 
7.0%
191739.266526396 10
 
4.1%
191717.692909305 7
 
2.9%
191636.053345951 6
 
2.5%
191661.036153797 6
 
2.5%
191690.981649354 5
 
2.1%
191597.559510258 5
 
2.1%
191863.605714348 5
 
2.1%
191745.095166022 3
 
1.2%
191799.374598544 3
 
1.2%
Other values (131) 172
71.1%
ValueCountFrequency (%)
190339.153977156 1
0.4%
190484.482550269 1
0.4%
190570.642920053 1
0.4%
190659.4890805 1
0.4%
190667.027378504 1
0.4%
190678.3600811 1
0.4%
190686.640202175 1
0.4%
190708.259478104 1
0.4%
190725.315270263 1
0.4%
190733.030903431 1
0.4%
ValueCountFrequency (%)
193915.13139016 1
0.4%
193818.18014 2
0.8%
193469.554731741 1
0.4%
193009.721165528 1
0.4%
192902.256553057 1
0.4%
192887.685510405 1
0.4%
192662.992068198 1
0.4%
192498.960983466 2
0.8%
192169.349485278 2
0.8%
192135.347119474 1
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct141
Distinct (%)59.0%
Missing3
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean445631.62
Minimum442935.76
Maximum448228.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-05-11T14:37:39.799726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442935.76
5-th percentile443069.88
Q1444861.67
median446182.13
Q3446342.54
95-th percentile447023.59
Maximum448228.28
Range5292.5213
Interquartile range (IQR)1480.8677

Descriptive statistics

Standard deviation1238.6283
Coefficient of variation (CV)0.0027794892
Kurtosis-0.24042473
Mean445631.62
Median Absolute Deviation (MAD)183.7953
Skewness-0.8467949
Sum1.0650596 × 108
Variance1534200
MonotonicityNot monotonic
2024-05-11T14:37:40.004307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
446238.776340506 17
 
7.0%
446080.166512621 10
 
4.1%
446342.541453456 7
 
2.9%
446315.067198453 6
 
2.5%
446332.013360808 6
 
2.5%
446139.868162736 5
 
2.1%
446375.365758595 5
 
2.1%
446365.924310187 5
 
2.1%
446335.318526263 3
 
1.2%
446107.469894732 3
 
1.2%
Other values (131) 172
71.1%
ValueCountFrequency (%)
442935.759116171 1
0.4%
442983.223307416 2
0.8%
442997.308138179 1
0.4%
443028.11786275 1
0.4%
443028.952358496 2
0.8%
443044.615211723 1
0.4%
443048.18952177 1
0.4%
443061.180700737 1
0.4%
443066.071932734 2
0.8%
443070.307657005 1
0.4%
ValueCountFrequency (%)
448228.28042499 1
0.4%
448188.999851761 2
0.8%
448115.64140501 1
0.4%
448034.65486381 1
0.4%
448004.912863597 1
0.4%
447154.728694696 1
0.4%
447149.041174332 1
0.4%
447118.969319485 1
0.4%
447112.120250399 1
0.4%
447110.440999875 1
0.4%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
청소년게임제공업
234 
<NA>
 
8

Length

Max length8
Median length8
Mean length7.8677686
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청소년게임제공업 234
96.7%
<NA> 8
 
3.3%

Length

2024-05-11T14:37:40.200204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:40.335213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소년게임제공업 234
96.7%
na 8
 
3.3%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
유통관련업
234 
<NA>
 
8

Length

Max length5
Median length5
Mean length4.9669421
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 234
96.7%
<NA> 8
 
3.3%

Length

2024-05-11T14:37:40.466568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:40.581136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 234
96.7%
na 8
 
3.3%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)6.0%
Missing8
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean2.2478632
Minimum0
Maximum44
Zeros129
Zeros (%)53.3%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-05-11T14:37:40.675945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile7.35
Maximum44
Range44
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.1265517
Coefficient of variation (CV)1.8357663
Kurtosis45.435929
Mean2.2478632
Median Absolute Deviation (MAD)0
Skewness5.229587
Sum526
Variance17.028429
MonotonicityNot monotonic
2024-05-11T14:37:40.838432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 129
53.3%
5 21
 
8.7%
4 17
 
7.0%
3 16
 
6.6%
2 12
 
5.0%
1 12
 
5.0%
6 8
 
3.3%
7 7
 
2.9%
10 4
 
1.7%
14 2
 
0.8%
Other values (4) 6
 
2.5%
(Missing) 8
 
3.3%
ValueCountFrequency (%)
0 129
53.3%
1 12
 
5.0%
2 12
 
5.0%
3 16
 
6.6%
4 17
 
7.0%
5 21
 
8.7%
6 8
 
3.3%
7 7
 
2.9%
8 2
 
0.8%
10 4
 
1.7%
ValueCountFrequency (%)
44 1
 
0.4%
18 1
 
0.4%
14 2
 
0.8%
13 2
 
0.8%
10 4
 
1.7%
8 2
 
0.8%
7 7
 
2.9%
6 8
 
3.3%
5 21
8.7%
4 17
7.0%

주변환경명
Categorical

Distinct6
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
139 
유흥업소밀집지역
51 
기타
29 
주택가주변
17 
학교정화(상대)
 
5

Length

Max length8
Median length4
Mean length4.7603306
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 139
57.4%
유흥업소밀집지역 51
 
21.1%
기타 29
 
12.0%
주택가주변 17
 
7.0%
학교정화(상대) 5
 
2.1%
아파트지역 1
 
0.4%

Length

2024-05-11T14:37:41.051021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:41.216818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 139
57.4%
유흥업소밀집지역 51
 
21.1%
기타 29
 
12.0%
주택가주변 17
 
7.0%
학교정화(상대 5
 
2.1%
아파트지역 1
 
0.4%

제작취급품목내용
Text

MISSING 

Distinct156
Distinct (%)95.1%
Missing78
Missing (%)32.2%
Memory size2.0 KiB
2024-05-11T14:37:41.579187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length115
Median length52
Mean length12.439024
Min length2

Characters and Unicode

Total characters2040
Distinct characters306
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

Unique149 ?
Unique (%)90.9%

Sample

1st row비경품성,청소년용(다수)
2nd row총21대,철권태그토너먼트2(15대),유비트서서(2대),비트매니아 투 디엑스20트리고(1대),리플렉비트 콜렉트(1대),팝픈 뮤직 써니파크(1대),뉴짱(1대)
3rd row5종(비경품)
4th row게임물
5th row물반고기반
ValueCountFrequency (%)
40대 7
 
2.4%
씨 6
 
2.0%
무적함대 3
 
1.0%
외 3
 
1.0%
드림아일랜드2 2
 
0.7%
놀러와 2
 
0.7%
등 2
 
0.7%
아쿠아 2
 
0.7%
pang 2
 
0.7%
토이즈팝(2 2
 
0.7%
Other values (247) 265
89.5%
2024-05-11T14:37:42.163445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
132
 
6.5%
( 103
 
5.0%
) 103
 
5.0%
, 76
 
3.7%
0 69
 
3.4%
1 67
 
3.3%
2 52
 
2.5%
대 45
 
2.2%
이 41
 
2.0%
스 39
 
1.9%
Other values (296) 1313
64.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1158
56.8%
Decimal Number 301
 
14.8%
Space Separator 132
 
6.5%
Open Punctuation 103
 
5.0%
Close Punctuation 103
 
5.0%
Other Punctuation 78
 
3.8%
Uppercase Letter 76
 
3.7%
Lowercase Letter 62
 
3.0%
Dash Punctuation 27
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 45
 
3.9%
이 41
 
3.5%
스 39
 
3.4%
트 30
 
2.6%
아 27
 
2.3%
드 26
 
2.2%
션 22
 
1.9%
오 21
 
1.8%
토 18
 
1.6%
크 17
 
1.5%
Other values (246) 872
75.3%
Lowercase Letter
ValueCountFrequency (%)
a 13
21.0%
e 10
16.1%
n 9
14.5%
c 4
 
6.5%
o 3
 
4.8%
s 3
 
4.8%
i 3
 
4.8%
r 3
 
4.8%
t 3
 
4.8%
g 2
 
3.2%
Other values (7) 9
14.5%
Uppercase Letter
ValueCountFrequency (%)
A 15
19.7%
C 14
18.4%
S 8
10.5%
E 8
10.5%
N 8
10.5%
R 4
 
5.3%
B 3
 
3.9%
L 3
 
3.9%
O 2
 
2.6%
T 2
 
2.6%
Other values (6) 9
11.8%
Decimal Number
ValueCountFrequency (%)
0 69
22.9%
1 67
22.3%
2 52
17.3%
4 35
11.6%
3 25
 
8.3%
7 17
 
5.6%
5 13
 
4.3%
9 11
 
3.7%
6 7
 
2.3%
8 5
 
1.7%
Other Punctuation
ValueCountFrequency (%)
, 76
97.4%
' 1
 
1.3%
. 1
 
1.3%
Space Separator
ValueCountFrequency (%)
132
100.0%
Open Punctuation
ValueCountFrequency (%)
( 103
100.0%
Close Punctuation
ValueCountFrequency (%)
) 103
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1158
56.8%
Common 744
36.5%
Latin 138
 
6.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 45
 
3.9%
이 41
 
3.5%
스 39
 
3.4%
트 30
 
2.6%
아 27
 
2.3%
드 26
 
2.2%
션 22
 
1.9%
오 21
 
1.8%
토 18
 
1.6%
크 17
 
1.5%
Other values (246) 872
75.3%
Latin
ValueCountFrequency (%)
A 15
 
10.9%
C 14
 
10.1%
a 13
 
9.4%
e 10
 
7.2%
n 9
 
6.5%
S 8
 
5.8%
E 8
 
5.8%
N 8
 
5.8%
c 4
 
2.9%
R 4
 
2.9%
Other values (23) 45
32.6%
Common
ValueCountFrequency (%)
132
17.7%
( 103
13.8%
) 103
13.8%
, 76
10.2%
0 69
9.3%
1 67
9.0%
2 52
 
7.0%
4 35
 
4.7%
- 27
 
3.6%
3 25
 
3.4%
Other values (7) 55
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1158
56.8%
ASCII 882
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
132
15.0%
( 103
11.7%
) 103
11.7%
, 76
 
8.6%
0 69
 
7.8%
1 67
 
7.6%
2 52
 
5.9%
4 35
 
4.0%
- 27
 
3.1%
3 25
 
2.8%
Other values (40) 193
21.9%
Hangul
ValueCountFrequency (%)
대 45
 
3.9%
이 41
 
3.5%
스 39
 
3.4%
트 30
 
2.6%
아 27
 
2.3%
드 26
 
2.2%
션 22
 
1.9%
오 21
 
1.8%
토 18
 
1.6%
크 17
 
1.5%
Other values (246) 872
75.3%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct176
Distinct (%)75.2%
Missing8
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean108.6609
Minimum0
Maximum418.18
Zeros4
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-05-11T14:37:42.400910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21.9475
Q169.1725
median99.84
Q3137.825
95-th percentile224.936
Maximum418.18
Range418.18
Interquartile range (IQR)68.6525

Descriptive statistics

Standard deviation67.083455
Coefficient of variation (CV)0.61736518
Kurtosis4.1052273
Mean108.6609
Median Absolute Deviation (MAD)34.235
Skewness1.5260672
Sum25426.65
Variance4500.1899
MonotonicityNot monotonic
2024-05-11T14:37:42.621372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
165.62 8
 
3.3%
151.04 5
 
2.1%
0.0 4
 
1.7%
69.59 3
 
1.2%
120.0 3
 
1.2%
133.0 3
 
1.2%
62.64 3
 
1.2%
65.55 3
 
1.2%
108.42 3
 
1.2%
99.84 3
 
1.2%
Other values (166) 196
81.0%
(Missing) 8
 
3.3%
ValueCountFrequency (%)
0.0 4
1.7%
9.25 1
 
0.4%
10.0 1
 
0.4%
17.8 1
 
0.4%
18.9 2
0.8%
19.8 1
 
0.4%
20.0 1
 
0.4%
20.68 1
 
0.4%
22.63 1
 
0.4%
23.0 2
0.8%
ValueCountFrequency (%)
418.18 1
0.4%
369.38 1
0.4%
369.25 1
0.4%
364.91 1
0.4%
330.0 1
0.4%
308.49 1
0.4%
291.04 1
0.4%
252.0 1
0.4%
247.91 1
0.4%
246.22 1
0.4%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)5.1%
Missing8
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean1.6709402
Minimum0
Maximum14
Zeros110
Zeros (%)45.5%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-05-11T14:37:42.824061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile6
Maximum14
Range14
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.2520019
Coefficient of variation (CV)1.3477454
Kurtosis5.3276114
Mean1.6709402
Median Absolute Deviation (MAD)1
Skewness1.9375096
Sum391
Variance5.0715124
MonotonicityNot monotonic
2024-05-11T14:37:43.026638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 110
45.5%
1 29
 
12.0%
2 29
 
12.0%
4 26
 
10.7%
3 20
 
8.3%
6 6
 
2.5%
5 6
 
2.5%
7 3
 
1.2%
10 2
 
0.8%
8 1
 
0.4%
Other values (2) 2
 
0.8%
(Missing) 8
 
3.3%
ValueCountFrequency (%)
0 110
45.5%
1 29
 
12.0%
2 29
 
12.0%
3 20
 
8.3%
4 26
 
10.7%
5 6
 
2.5%
6 6
 
2.5%
7 3
 
1.2%
8 1
 
0.4%
10 2
 
0.8%
ValueCountFrequency (%)
14 1
 
0.4%
11 1
 
0.4%
10 2
 
0.8%
8 1
 
0.4%
7 3
 
1.2%
6 6
 
2.5%
5 6
 
2.5%
4 26
10.7%
3 20
8.3%
2 29
12.0%

지하층수
Categorical

Distinct6
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
159 
1
65 
<NA>
 
8
2
 
5
3
 
3

Length

Max length4
Median length1
Mean length1.0991736
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 159
65.7%
1 65
26.9%
<NA> 8
 
3.3%
2 5
 
2.1%
3 3
 
1.2%
4 2
 
0.8%

Length

2024-05-11T14:37:43.256459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:43.470486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 159
65.7%
1 65
26.9%
na 8
 
3.3%
2 5
 
2.1%
3 3
 
1.2%
4 2
 
0.8%

건물용도명
Categorical

IMBALANCE 

Distinct8
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
127 
근린생활시설
100 
판매시설
 
7
환경위생시설
 
4
사무실
 
1
Other values (3)
 
3

Length

Max length6
Median length4
Mean length4.8471074
Min length3

Unique

Unique4 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 127
52.5%
근린생활시설 100
41.3%
판매시설 7
 
2.9%
환경위생시설 4
 
1.7%
사무실 1
 
0.4%
유통시설 1
 
0.4%
아파트 1
 
0.4%
유기장 1
 
0.4%

Length

2024-05-11T14:37:43.699237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:43.915826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 127
52.5%
근린생활시설 100
41.3%
판매시설 7
 
2.9%
환경위생시설 4
 
1.7%
사무실 1
 
0.4%
유통시설 1
 
0.4%
아파트 1
 
0.4%
유기장 1
 
0.4%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
234 
<NA>
 
8

Length

Max length4
Median length1
Mean length1.0991736
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 234
96.7%
<NA> 8
 
3.3%

Length

2024-05-11T14:37:44.130981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:44.311333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 234
96.7%
na 8
 
3.3%

조명시설조도
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
184 
40
50 
<NA>
 
8

Length

Max length4
Median length1
Mean length1.3057851
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 184
76.0%
40 50
 
20.7%
<NA> 8
 
3.3%

Length

2024-05-11T14:37:44.501372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:44.675703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 184
76.0%
40 50
 
20.7%
na 8
 
3.3%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
234 
<NA>
 
8

Length

Max length4
Median length1
Mean length1.0991736
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 234
96.7%
<NA> 8
 
3.3%

Length

2024-05-11T14:37:44.858043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:45.021462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 234
96.7%
na 8
 
3.3%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
234 
<NA>
 
8

Length

Max length4
Median length1
Mean length1.0991736
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 234
96.7%
<NA> 8
 
3.3%

Length

2024-05-11T14:37:45.190684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:45.362902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 234
96.7%
na 8
 
3.3%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing242
Missing (%)100.0%
Memory size2.3 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing242
Missing (%)100.0%
Memory size2.3 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing242
Missing (%)100.0%
Memory size2.3 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing242
Missing (%)100.0%
Memory size2.3 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing242
Missing (%)100.0%
Memory size2.3 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing242
Missing (%)100.0%
Memory size2.3 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing242
Missing (%)100.0%
Memory size2.3 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing242
Missing (%)100.0%
Memory size2.3 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing242
Missing (%)100.0%
Memory size2.3 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing242
Missing (%)100.0%
Memory size2.3 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing242
Missing (%)100.0%
Memory size2.3 KiB

총게임기수
Real number (ℝ)

MISSING  ZEROS 

Distinct37
Distinct (%)15.8%
Missing8
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean26.529915
Minimum0
Maximum84
Zeros64
Zeros (%)26.4%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-05-11T14:37:45.597243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median40
Q340
95-th percentile50
Maximum84
Range84
Interquartile range (IQR)40

Descriptive statistics

Standard deviation21.032602
Coefficient of variation (CV)0.79278815
Kurtosis-1.1868347
Mean26.529915
Median Absolute Deviation (MAD)10
Skewness-0.0020765973
Sum6208
Variance442.37035
MonotonicityNot monotonic
2024-05-11T14:37:45.825368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
40 69
28.5%
0 64
26.4%
50 28
11.6%
9 7
 
2.9%
45 6
 
2.5%
10 5
 
2.1%
30 4
 
1.7%
12 4
 
1.7%
60 4
 
1.7%
15 3
 
1.2%
Other values (27) 40
16.5%
(Missing) 8
 
3.3%
ValueCountFrequency (%)
0 64
26.4%
4 1
 
0.4%
5 1
 
0.4%
6 1
 
0.4%
7 2
 
0.8%
8 3
 
1.2%
9 7
 
2.9%
10 5
 
2.1%
11 3
 
1.2%
12 4
 
1.7%
ValueCountFrequency (%)
84 1
 
0.4%
81 1
 
0.4%
77 1
 
0.4%
70 1
 
0.4%
60 4
 
1.7%
55 1
 
0.4%
51 1
 
0.4%
50 28
11.6%
47 1
 
0.4%
45 6
 
2.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing242
Missing (%)100.0%
Memory size2.3 KiB

제공게임물명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
전체이용가
226 
<NA>
 
16

Length

Max length5
Median length5
Mean length4.9338843
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전체이용가 226
93.4%
<NA> 16
 
6.6%

Length

2024-05-11T14:37:46.013792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:46.194525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체이용가 226
93.4%
na 16
 
6.6%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing242
Missing (%)100.0%
Memory size2.3 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing242
Missing (%)100.0%
Memory size2.3 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing242
Missing (%)100.0%
Memory size2.3 KiB

지역구분명
Categorical

Distinct9
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
110 
일반상업지역
59 
일반주거지역
21 
상업지역
18 
준주거지역
16 
Other values (4)
18 

Length

Max length6
Median length4
Mean length4.8264463
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 110
45.5%
일반상업지역 59
24.4%
일반주거지역 21
 
8.7%
상업지역 18
 
7.4%
준주거지역 16
 
6.6%
준공업지역 10
 
4.1%
근린상업지역 5
 
2.1%
중심상업지역 2
 
0.8%
주거지역 1
 
0.4%

Length

2024-05-11T14:37:46.382800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:46.589039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 110
45.5%
일반상업지역 59
24.4%
일반주거지역 21
 
8.7%
상업지역 18
 
7.4%
준주거지역 16
 
6.6%
준공업지역 10
 
4.1%
근린상업지역 5
 
2.1%
중심상업지역 2
 
0.8%
주거지역 1
 
0.4%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03180000CDFF224114199800000119981109<NA>4취소/말소/만료/정지/중지35직권말소20080519<NA><NA><NA>02-849-4006<NA>150820서울특별시 영등포구 대림동 903-52번지 (지하1층)서울특별시 영등포구 디지털로 445 (대림동,(지하1층))<NA>환상게임랜드2008-05-20 14:20:43I2018-08-31 23:59:59.0<NA>191660.989374443705.148718청소년게임제공업유통관련업0<NA><NA>18.900<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA>전체이용가<NA><NA><NA><NA>
13180000CDFF224114200000000120001212<NA>4취소/말소/만료/정지/중지35직권말소20110914<NA><NA><NA>02-833-1388<NA><NA>서울특별시 영등포구 신길동 110-28번지서울특별시 영등포구 도신로 242-4 (신길동)<NA>21세기게임존2011-09-14 09:34:35I2018-08-31 23:59:59.0<NA>192662.992068445577.663894청소년게임제공업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA>전체이용가<NA><NA><NA><NA>
23180000CDFF224114200100000120011219<NA>3폐업3폐업20180220<NA><NA><NA>02-841-7560<NA><NA>서울특별시 영등포구 신길동 2365번지서울특별시 영등포구 신풍로 87 (신길동)7390밀레니엄게임랜드2018-02-22 10:55:59I2018-08-31 23:59:59.0<NA>192498.960983444244.6638청소년게임제공업유통관련업0<NA>비경품성,청소년용(다수)50.010<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4<NA>전체이용가<NA><NA><NA><NA>
33180000CDFF224114200300000120030214<NA>3폐업3폐업20081126<NA><NA><NA>02-2636-3290<NA>150899서울특별시 영등포구 영등포동 618-496번지 영등포역 3층서울특별시 영등포구 경인로 862 (영등포동,영등포역 3층)<NA>싸이버존게임장2008-11-26 14:45:03I2018-08-31 23:59:59.0<NA>191741.345848445970.307641청소년게임제공업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA>전체이용가<NA><NA><NA><NA>
43180000CDFF224114200300000220030901<NA>4취소/말소/만료/정지/중지35직권말소20110914<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 신길동 296-12번지 3층서울특별시 영등포구 도신로 106 (신길동,3층)<NA>위너게임장2011-09-14 09:33:50I2018-08-31 23:59:59.0<NA>191429.026016445038.505444청소년게임제공업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA>전체이용가<NA><NA><NA><NA>
53180000CDFF224114200700000120071015<NA>3폐업3폐업20100721<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 대림동 990-147번지 (1층)서울특별시 영등포구 대림로 79-1 (대림동,(1층))<NA>서울오락실2010-07-22 11:48:19I2018-08-31 23:59:59.0<NA>191531.682495443028.952358청소년게임제공업유통관련업4주택가주변<NA>146.0531근린생활시설0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>10<NA>전체이용가<NA><NA><NA>일반주거지역
63180000CDFF224114200700000220071030<NA>3폐업3폐업20181022<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 대림동 756-4번지 2층서울특별시 영등포구 도림로 198, 2층 (대림동)7423그린게임랜드2018-10-22 12:46:57U2018-10-24 02:36:02.0<NA>191338.559089443808.042275청소년게임제공업유통관련업5주택가주변총21대,철권태그토너먼트2(15대),유비트서서(2대),비트매니아 투 디엑스20트리고(1대),리플렉비트 콜렉트(1대),팝픈 뮤직 써니파크(1대),뉴짱(1대)129.5941근린생활시설04000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>21<NA>전체이용가<NA><NA><NA>일반주거지역
73180000CDFF224114200700000320071115<NA>3폐업3폐업20111202<NA><NA><NA>02-857-3740<NA><NA>서울특별시 영등포구 신길동 96-23번지 (1층)서울특별시 영등포구 영등포로 382 (신길동,(1층))<NA>스타게임랜드2011-12-02 14:00:04I2018-08-31 23:59:59.0<NA>192887.68551445703.644572청소년게임제공업유통관련업2기타5종(비경품)115.520근린생활시설0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>35<NA>전체이용가<NA><NA><NA>일반주거지역
83180000CDFF224114200700000420071119200910104취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동3가 8번지 (105호)서울특별시 영등포구 영중로 22 (영등포동3가,(105호))<NA>경방게임장2009-11-20 17:48:02I2018-08-31 23:59:59.0<NA>191616.285409446238.776341청소년게임제공업유통관련업7유흥업소밀집지역<NA>99.8461근린생활시설04000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>45<NA>전체이용가<NA><NA><NA>일반상업지역
93180000CDFF224114200700000520071126<NA>4취소/말소/만료/정지/중지35직권말소20101202<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 대림동 989-12번지 (1층)서울특별시 영등포구 대림로 78 (대림동,(1층))<NA>대림놀이공간2010-12-02 17:03:53I2018-08-31 23:59:59.0<NA>191574.682167443048.189522청소년게임제공업유통관련업5학교정화(상대)<NA>148.541근린생활시설04000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50<NA>전체이용가<NA><NA><NA>일반주거지역
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
2323180000CDFF224114201900000520190617<NA>3폐업3폐업20200709<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동3가 7-25 델리타운 108호서울특별시 영등포구 영중로10길 6, 델리타운 108호 (영등포동3가)7302코리아 게임장2020-07-13 09:27:24U2020-07-15 02:40:00.0<NA>191636.053346446315.067198청소년게임제공업유통관련업0<NA>마이웨이(40)55.8100<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>40<NA>전체이용가<NA><NA><NA>일반상업지역
2333180000CDFF224114201900000620191008<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 양평동1가 64-1번지 1층호서울특별시 영등포구 선유동1로 11-2, 1층 (양평동1가)7262뽑기초보2019-10-08 09:31:11I2019-10-10 00:22:46.0<NA>190339.153977446784.159614청소년게임제공업유통관련업0기타곰탱이(6), 멘토스(1)22.6321근린생활시설0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>7<NA>전체이용가<NA><NA><NA>준공업지역
2343180000CDFF224114202000000120200224<NA>3폐업3폐업20200923<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동3가 8 남서울빌딩 지하층호서울특별시 영등포구 영중로 22, 남서울빌딩 지하층 (영등포동3가)7302스타게임랜드2020-09-23 17:46:22U2020-09-26 02:40:00.0<NA>191616.285409446238.776341청소년게임제공업유통관련업0기타씨 세븐(50)165.6200근린생활시설0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50<NA>전체이용가<NA><NA><NA>일반상업지역
2353180000CDFF224114202000000220200424<NA>3폐업3폐업20200729<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동3가 13-4 1층호서울특별시 영등포구 영중로10길 44, 1층 (영등포동3가)7303부담없는 게임장2020-07-29 17:15:44U2020-07-31 02:40:00.0<NA>191971.867424446232.037789청소년게임제공업유통관련업0<NA>포켓걸디럭스(1), 매드볼(2), 스타디움히어로'96(1), 덴가이(1), 슈퍼슬램(1), 클래식골드(1), 팽(1), 헥사(2), 철권테그토너먼트(1), 퍼즐보블(1), 스노우브로스2(1), 테트리스(2)49.600<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>18<NA>전체이용가<NA><NA><NA><NA>
2363180000CDFF224114202000000320200609<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동 618-496번지 영등포 민자역사 7층호서울특별시 영등포구 경인로 846, 영등포 민자역사 시네마동 7층 (영등포동)7306GAME D(게임디)2020-06-09 15:23:07I2020-06-11 00:23:29.0<NA>191741.345848445970.307641청소년게임제공업유통관련업0<NA>비트앤덩크(3), 뉴해피트윈멀티(3), 더비시바시(1) 등 34종252.000판매시설0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>51<NA>전체이용가<NA><NA><NA>준공업지역
2373180000CDFF224114202000000420200902<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 당산동1가 4-7서울특별시 영등포구 영등포로 172-3 (당산동1가)7292뽑기방 토이크레인2020-12-10 09:08:01U2020-12-12 02:40:00.0<NA>191145.043902446474.309666청소년게임제공업유통관련업0<NA><NA>20.6800<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>8<NA>전체이용가<NA><NA><NA><NA>
2383180000CDFF224114202000000520201217<NA>3폐업3폐업20210202<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동5가 2 성일빌딩 2층호서울특별시 영등포구 영등포로 237-1, 성일빌딩 2층 (영등포동5가)7250시장게임랜드2021-02-02 11:03:13U2021-02-04 02:40:00.0<NA>191787.017661446380.898158청소년게임제공업유통관련업0<NA>올드나이트(44)183.2700<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>44<NA>전체이용가<NA><NA><NA>일반상업지역
2393180000CDFF22411420220000012022-06-29<NA>3폐업3폐업2023-07-06<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 대림동 862-3 정성빌딩서울특별시 영등포구 디지털로 392, 정성빌딩 10호 (대림동)7438뽑기놀이터2023-07-06 10:24:27U2022-12-07 00:08:00.0<NA>191332.679369443274.30817<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2403180000CDFF22411420230000012023-10-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동3가 23-1서울특별시 영등포구 영등포로50길 8-3 (영등포동3가)7304와와가챠샵2023-10-13 13:47:26I2022-10-30 23:05:00.0<NA>191895.338228446230.037296<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2413180000CDFF22411420240000012024-03-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동3가 20 WD스퀘어서울특별시 영등포구 영중로4길 9, WD스퀘어 101호 (영등포동3가)7304앨리스 in WONDERLAND2024-03-22 17:08:22I2023-12-02 22:04:00.0<NA>191734.151586446142.238726<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>