Overview

Dataset statistics

Number of variables56
Number of observations794
Missing cells17875
Missing cells (%)40.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory376.2 KiB
Average record size in memory485.2 B

Variable types

Categorical19
Text6
DateTime4
Unsupported20
Numeric7

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-16709/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
상세영업상태명 is highly imbalanced (53.0%)Imbalance
휴업시작일자 is highly imbalanced (97.3%)Imbalance
휴업종료일자 is highly imbalanced (97.3%)Imbalance
소재지우편번호 is highly imbalanced (66.6%)Imbalance
데이터갱신구분 is highly imbalanced (61.4%)Imbalance
문화체육업종명 is highly imbalanced (62.7%)Imbalance
문화사업자구분명 is highly imbalanced (62.7%)Imbalance
주변환경명 is highly imbalanced (84.9%)Imbalance
지하층수 is highly imbalanced (71.1%)Imbalance
건물용도명 is highly imbalanced (81.7%)Imbalance
통로너비 is highly imbalanced (62.7%)Imbalance
조명시설조도 is highly imbalanced (62.7%)Imbalance
노래방실수 is highly imbalanced (62.7%)Imbalance
청소년실수 is highly imbalanced (62.7%)Imbalance
총게임기수 is highly imbalanced (62.7%)Imbalance
지역구분명 is highly imbalanced (84.7%)Imbalance
인허가취소일자 has 794 (100.0%) missing valuesMissing
폐업일자 has 549 (69.1%) missing valuesMissing
재개업일자 has 794 (100.0%) missing valuesMissing
전화번호 has 592 (74.6%) missing valuesMissing
소재지면적 has 794 (100.0%) missing valuesMissing
도로명주소 has 24 (3.0%) missing valuesMissing
도로명우편번호 has 488 (61.5%) missing valuesMissing
업태구분명 has 794 (100.0%) missing valuesMissing
좌표정보(X) has 18 (2.3%) missing valuesMissing
좌표정보(Y) has 18 (2.3%) missing valuesMissing
총층수 has 57 (7.2%) missing valuesMissing
제작취급품목내용 has 135 (17.0%) missing valuesMissing
시설면적 has 57 (7.2%) missing valuesMissing
지상층수 has 57 (7.2%) missing valuesMissing
비상계단여부 has 794 (100.0%) missing valuesMissing
비상구여부 has 794 (100.0%) missing valuesMissing
자동환기여부 has 794 (100.0%) missing valuesMissing
청소년실여부 has 794 (100.0%) missing valuesMissing
특수조명여부 has 794 (100.0%) missing valuesMissing
방음시설여부 has 794 (100.0%) missing valuesMissing
비디오재생기명 has 794 (100.0%) missing valuesMissing
조명시설유무 has 794 (100.0%) missing valuesMissing
음향시설여부 has 794 (100.0%) missing valuesMissing
편의시설여부 has 794 (100.0%) missing valuesMissing
소방시설여부 has 794 (100.0%) missing valuesMissing
기존게임업외업종명 has 794 (100.0%) missing valuesMissing
제공게임물명 has 794 (100.0%) missing valuesMissing
공연장형태구분명 has 794 (100.0%) missing valuesMissing
품목명 has 794 (100.0%) missing valuesMissing
최초등록시점 has 794 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 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
제공게임물명 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 684 (86.1%) zerosZeros
시설면적 has 294 (37.0%) zerosZeros
지상층수 has 670 (84.4%) zerosZeros

Reproduction

Analysis started2024-04-29 19:07:23.571122
Analysis finished2024-04-29 19:07:24.761833
Duration1.19 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
3180000
794 

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 794
100.0%

Length

2024-04-30T04:07:24.843890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:07:24.931082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3180000 794
100.0%

관리번호
Text

UNIQUE 

Distinct794
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
2024-04-30T04:07:25.080994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters15880
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

Unique794 ?
Unique (%)100.0%

Sample

1st rowCDFF2241081999000001
2nd rowCDFF2241081999000002
3rd rowCDFF2241081999000003
4th rowCDFF2241081999000004
5th rowCDFF2241081999000005
ValueCountFrequency (%)
cdff2241081999000001 1
 
0.1%
cdff2241082011000079 1
 
0.1%
cdff2241082012000045 1
 
0.1%
cdff2241082011000082 1
 
0.1%
cdff2241082011000084 1
 
0.1%
cdff2241082011000085 1
 
0.1%
cdff2241082011000086 1
 
0.1%
cdff2241082011000089 1
 
0.1%
cdff2241082012000001 1
 
0.1%
cdff2241082012000002 1
 
0.1%
Other values (784) 784
98.7%
2024-04-30T04:07:25.347398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5492
34.6%
2 2755
17.3%
F 1588
 
10.0%
1 1553
 
9.8%
8 997
 
6.3%
4 984
 
6.2%
C 794
 
5.0%
D 794
 
5.0%
9 204
 
1.3%
3 199
 
1.3%
Other values (3) 520
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12704
80.0%
Uppercase Letter 3176
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5492
43.2%
2 2755
21.7%
1 1553
 
12.2%
8 997
 
7.8%
4 984
 
7.7%
9 204
 
1.6%
3 199
 
1.6%
5 191
 
1.5%
6 177
 
1.4%
7 152
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
F 1588
50.0%
C 794
25.0%
D 794
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12704
80.0%
Latin 3176
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5492
43.2%
2 2755
21.7%
1 1553
 
12.2%
8 997
 
7.8%
4 984
 
7.7%
9 204
 
1.6%
3 199
 
1.6%
5 191
 
1.5%
6 177
 
1.4%
7 152
 
1.2%
Latin
ValueCountFrequency (%)
F 1588
50.0%
C 794
25.0%
D 794
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15880
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5492
34.6%
2 2755
17.3%
F 1588
 
10.0%
1 1553
 
9.8%
8 997
 
6.3%
4 984
 
6.2%
C 794
 
5.0%
D 794
 
5.0%
9 204
 
1.3%
3 199
 
1.3%
Other values (3) 520
 
3.3%

인허가일자
Date

Distinct692
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
Minimum1999-01-04 00:00:00
Maximum2024-03-07 00:00:00
2024-04-30T04:07:25.465941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:07:25.584231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing794
Missing (%)100.0%
Memory size7.1 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
1
545 
3
186 
4
60 
5
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row1

Common Values

ValueCountFrequency (%)
1 545
68.6%
3 186
 
23.4%
4 60
 
7.6%
5 3
 
0.4%

Length

2024-04-30T04:07:25.704773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:07:25.827071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 545
68.6%
3 186
 
23.4%
4 60
 
7.6%
5 3
 
0.4%

영업상태명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
영업/정상
545 
폐업
186 
취소/말소/만료/정지/중지
60 
제외/삭제/전출
 
3

Length

Max length14
Median length5
Mean length4.988665
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 545
68.6%
폐업 186
 
23.4%
취소/말소/만료/정지/중지 60
 
7.6%
제외/삭제/전출 3
 
0.4%

Length

2024-04-30T04:07:25.941250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:07:26.030677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 545
68.6%
폐업 186
 
23.4%
취소/말소/만료/정지/중지 60
 
7.6%
제외/삭제/전출 3
 
0.4%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.278338
Minimum3
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-30T04:07:26.125403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q113
median13
Q313
95-th percentile35
Maximum35
Range32
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.6062866
Coefficient of variation (CV)0.61948831
Kurtosis3.2176875
Mean12.278338
Median Absolute Deviation (MAD)0
Skewness1.4848077
Sum9749
Variance57.855596
MonotonicityNot monotonic
2024-04-30T04:07:26.217448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
13 544
68.5%
3 186
 
23.4%
35 56
 
7.1%
25 4
 
0.5%
15 3
 
0.4%
14 1
 
0.1%
ValueCountFrequency (%)
3 186
 
23.4%
13 544
68.5%
14 1
 
0.1%
15 3
 
0.4%
25 4
 
0.5%
35 56
 
7.1%
ValueCountFrequency (%)
35 56
 
7.1%
25 4
 
0.5%
15 3
 
0.4%
14 1
 
0.1%
13 544
68.5%
3 186
 
23.4%

상세영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
영업중
544 
폐업
186 
직권말소
56 
영업정지
 
4
전출
 
3

Length

Max length4
Median length3
Mean length2.836272
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 544
68.5%
폐업 186
 
23.4%
직권말소 56
 
7.1%
영업정지 4
 
0.5%
전출 3
 
0.4%
전입 1
 
0.1%

Length

2024-04-30T04:07:26.327244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:07:26.429533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 544
68.5%
폐업 186
 
23.4%
직권말소 56
 
7.1%
영업정지 4
 
0.5%
전출 3
 
0.4%
전입 1
 
0.1%

폐업일자
Date

MISSING 

Distinct187
Distinct (%)76.3%
Missing549
Missing (%)69.1%
Memory size6.3 KiB
Minimum2006-08-21 00:00:00
Maximum2024-04-17 00:00:00
2024-04-30T04:07:26.526942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:07:26.627574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
790 
20120225
 
2
20100329
 
1
20110926
 
1

Length

Max length8
Median length4
Mean length4.0201511
Min length4

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 790
99.5%
20120225 2
 
0.3%
20100329 1
 
0.1%
20110926 1
 
0.1%

Length

2024-04-30T04:07:26.767253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:07:26.892117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 790
99.5%
20120225 2
 
0.3%
20100329 1
 
0.1%
20110926 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
790 
20120325
 
2
20100628
 
1
20111005
 
1

Length

Max length8
Median length4
Mean length4.0201511
Min length4

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 790
99.5%
20120325 2
 
0.3%
20100628 1
 
0.1%
20111005 1
 
0.1%

Length

2024-04-30T04:07:27.019128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:07:27.124542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 790
99.5%
20120325 2
 
0.3%
20100628 1
 
0.1%
20111005 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing794
Missing (%)100.0%
Memory size7.1 KiB

전화번호
Text

MISSING 

Distinct197
Distinct (%)97.5%
Missing592
Missing (%)74.6%
Memory size6.3 KiB
2024-04-30T04:07:27.300736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.509901
Min length8

Characters and Unicode

Total characters2123
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

Unique193 ?
Unique (%)95.5%

Sample

1st row780-2259
2nd row714-1511
3rd row789-0100
4th row02-2677-4107
5th row2068-8110
ValueCountFrequency (%)
02-2632-0488 3
 
1.5%
832-3142 2
 
1.0%
02-2635-9176 2
 
1.0%
02-869-1222 2
 
1.0%
031-8071-3051 1
 
0.5%
2264-8231 1
 
0.5%
5656-544 1
 
0.5%
2242-2244 1
 
0.5%
02-6672-7369 1
 
0.5%
786-0815 1
 
0.5%
Other values (187) 187
92.6%
2024-04-30T04:07:27.618289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 347
16.3%
- 311
14.6%
0 271
12.8%
6 238
11.2%
7 209
9.8%
3 159
7.5%
1 145
6.8%
8 122
 
5.7%
5 118
 
5.6%
9 103
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1812
85.4%
Dash Punctuation 311
 
14.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 347
19.2%
0 271
15.0%
6 238
13.1%
7 209
11.5%
3 159
8.8%
1 145
8.0%
8 122
 
6.7%
5 118
 
6.5%
9 103
 
5.7%
4 100
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 311
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2123
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 347
16.3%
- 311
14.6%
0 271
12.8%
6 238
11.2%
7 209
9.8%
3 159
7.5%
1 145
6.8%
8 122
 
5.7%
5 118
 
5.6%
9 103
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2123
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 347
16.3%
- 311
14.6%
0 271
12.8%
6 238
11.2%
7 209
9.8%
3 159
7.5%
1 145
6.8%
8 122
 
5.7%
5 118
 
5.6%
9 103
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing794
Missing (%)100.0%
Memory size7.1 KiB

소재지우편번호
Categorical

IMBALANCE 

Distinct46
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
553 
150723
113 
150042
 
51
150103
 
6
150805
 
4
Other values (41)
67 

Length

Max length7
Median length4
Mean length4.6095718
Min length4

Unique

Unique26 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 553
69.6%
150723 113
 
14.2%
150042 51
 
6.4%
150103 6
 
0.8%
150805 4
 
0.5%
150803 4
 
0.5%
150814 4
 
0.5%
150841 4
 
0.5%
150037 4
 
0.5%
150871 3
 
0.4%
Other values (36) 48
 
6.0%

Length

2024-04-30T04:07:27.738751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 553
69.6%
150723 113
 
14.2%
150042 51
 
6.4%
150103 6
 
0.8%
150805 4
 
0.5%
150803 4
 
0.5%
150814 4
 
0.5%
150841 4
 
0.5%
150037 4
 
0.5%
150871 3
 
0.4%
Other values (36) 48
 
6.0%

지번주소
Text

Distinct482
Distinct (%)60.7%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
2024-04-30T04:07:27.932715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length43
Mean length35.329975
Min length19

Characters and Unicode

Total characters28052
Distinct characters229
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique372 ?
Unique (%)46.9%

Sample

1st row서울특별시 영등포구 여의도동 **번지 두레빌딩***-*호
2nd row서울특별시 영등포구 문래동*가 **-**번지 우리벤처타운***호
3rd row서울특별시 영등포구 당산동*가 **-*번지 영등포유통상가*층라열**호
4th row서울특별시 영등포구 여의도동 **-*번지 신동해빌딩 ***호
5th row서울특별시 영등포구 당산동*가 **-*번지 유통상가 *층 다- *동
ValueCountFrequency (%)
서울특별시 794
16.8%
영등포구 794
16.8%
번지 686
14.5%
당산동*가 585
12.4%
호 345
 
7.3%
영등포유통상가 227
 
4.8%
층 208
 
4.4%
105
 
2.2%
유통상가 70
 
1.5%
여의도동 58
 
1.2%
Other values (310) 864
18.2%
2024-04-30T04:07:28.268731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 5028
17.9%
4436
15.8%
가 1266
 
4.5%
영 1265
 
4.5%
포 1260
 
4.5%
등 1257
 
4.5%
동 827
 
2.9%
시 803
 
2.9%
서 800
 
2.9%
특 794
 
2.8%
Other values (219) 10316
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17721
63.2%
Other Punctuation 5056
 
18.0%
Space Separator 4436
 
15.8%
Dash Punctuation 753
 
2.7%
Uppercase Letter 33
 
0.1%
Lowercase Letter 22
 
0.1%
Decimal Number 15
 
0.1%
Close Punctuation 7
 
< 0.1%
Open Punctuation 7
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 1266
 
7.1%
영 1265
 
7.1%
포 1260
 
7.1%
등 1257
 
7.1%
동 827
 
4.7%
시 803
 
4.5%
서 800
 
4.5%
특 794
 
4.5%
별 794
 
4.5%
구 794
 
4.5%
Other values (182) 7861
44.4%
Uppercase Letter
ValueCountFrequency (%)
V 4
12.1%
K 4
12.1%
S 4
12.1%
A 4
12.1%
D 3
9.1%
B 3
9.1%
M 2
6.1%
G 2
6.1%
L 2
6.1%
H 1
 
3.0%
Other values (4) 4
12.1%
Lowercase Letter
ValueCountFrequency (%)
e 7
31.8%
c 3
13.6%
n 3
13.6%
t 3
13.6%
r 3
13.6%
b 1
 
4.5%
i 1
 
4.5%
z 1
 
4.5%
Decimal Number
ValueCountFrequency (%)
2 5
33.3%
0 4
26.7%
3 2
 
13.3%
1 1
 
6.7%
5 1
 
6.7%
8 1
 
6.7%
4 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
* 5028
99.4%
, 24
 
0.5%
. 4
 
0.1%
Space Separator
ValueCountFrequency (%)
4436
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 753
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17721
63.2%
Common 10276
36.6%
Latin 55
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 1266
 
7.1%
영 1265
 
7.1%
포 1260
 
7.1%
등 1257
 
7.1%
동 827
 
4.7%
시 803
 
4.5%
서 800
 
4.5%
특 794
 
4.5%
별 794
 
4.5%
구 794
 
4.5%
Other values (182) 7861
44.4%
Latin
ValueCountFrequency (%)
e 7
12.7%
V 4
 
7.3%
K 4
 
7.3%
S 4
 
7.3%
A 4
 
7.3%
D 3
 
5.5%
c 3
 
5.5%
n 3
 
5.5%
t 3
 
5.5%
r 3
 
5.5%
Other values (12) 17
30.9%
Common
ValueCountFrequency (%)
* 5028
48.9%
4436
43.2%
- 753
 
7.3%
, 24
 
0.2%
) 7
 
0.1%
( 7
 
0.1%
2 5
 
< 0.1%
0 4
 
< 0.1%
. 4
 
< 0.1%
~ 2
 
< 0.1%
Other values (5) 6
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17721
63.2%
ASCII 10331
36.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 5028
48.7%
4436
42.9%
- 753
 
7.3%
, 24
 
0.2%
e 7
 
0.1%
) 7
 
0.1%
( 7
 
0.1%
2 5
 
< 0.1%
0 4
 
< 0.1%
V 4
 
< 0.1%
Other values (27) 56
 
0.5%
Hangul
ValueCountFrequency (%)
가 1266
 
7.1%
영 1265
 
7.1%
포 1260
 
7.1%
등 1257
 
7.1%
동 827
 
4.7%
시 803
 
4.5%
서 800
 
4.5%
특 794
 
4.5%
별 794
 
4.5%
구 794
 
4.5%
Other values (182) 7861
44.4%

도로명주소
Text

MISSING 

Distinct531
Distinct (%)69.0%
Missing24
Missing (%)3.0%
Memory size6.3 KiB
2024-04-30T04:07:28.446961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length53
Mean length42.194805
Min length24

Characters and Unicode

Total characters32490
Distinct characters235
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique443 ?
Unique (%)57.5%

Sample

1st row서울특별시 영등포구 국제금융로*길 * (여의도동,두레빌딩***-*호)
2nd row서울특별시 영등포구 선유로 ** (문래동*가,우리벤처타운***호)
3rd row서울특별시 영등포구 영등포로 *** (당산동*가,영등포유통상가*층라열**호)
4th row서울특별시 영등포구 국회대로**길 **, ***호 (여의도동,신동해빌딩)
5th row서울특별시 영등포구 영등포로 *** (당산동*가, *층다-*동)
ValueCountFrequency (%)
780
14.8%
서울특별시 770
14.6%
영등포구 770
14.6%
영등포로 531
10.1%
호 410
 
7.8%
층 292
 
5.6%
당산동*가 231
 
4.4%
영등포유통상가 156
 
3.0%
당산동*가,영등포유통상가 96
 
1.8%
당산동*가,유통상가 69
 
1.3%
Other values (416) 1151
21.9%
2024-04-30T04:07:28.747027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 5250
16.2%
4925
15.2%
영 1836
 
5.7%
포 1795
 
5.5%
등 1792
 
5.5%
가 1284
 
4.0%
, 1029
 
3.2%
동 821
 
2.5%
서 782
 
2.4%
시 780
 
2.4%
Other values (225) 12196
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19562
60.2%
Other Punctuation 6282
 
19.3%
Space Separator 4925
 
15.2%
Close Punctuation 777
 
2.4%
Open Punctuation 777
 
2.4%
Dash Punctuation 79
 
0.2%
Uppercase Letter 41
 
0.1%
Decimal Number 23
 
0.1%
Lowercase Letter 20
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 1836
 
9.4%
포 1795
 
9.2%
등 1792
 
9.2%
가 1284
 
6.6%
동 821
 
4.2%
서 782
 
4.0%
시 780
 
4.0%
로 772
 
3.9%
별 771
 
3.9%
울 770
 
3.9%
Other values (187) 8159
41.7%
Uppercase Letter
ValueCountFrequency (%)
A 7
17.1%
D 5
12.2%
S 5
12.2%
K 4
9.8%
V 4
9.8%
B 4
9.8%
G 2
 
4.9%
L 2
 
4.9%
M 2
 
4.9%
F 1
 
2.4%
Other values (5) 5
12.2%
Decimal Number
ValueCountFrequency (%)
1 4
17.4%
3 4
17.4%
2 4
17.4%
9 4
17.4%
0 3
13.0%
4 2
8.7%
6 1
 
4.3%
5 1
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
e 6
30.0%
t 3
15.0%
r 3
15.0%
n 3
15.0%
c 3
15.0%
b 1
 
5.0%
d 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
* 5250
83.6%
, 1029
 
16.4%
. 3
 
< 0.1%
Space Separator
ValueCountFrequency (%)
4925
100.0%
Close Punctuation
ValueCountFrequency (%)
) 777
100.0%
Open Punctuation
ValueCountFrequency (%)
( 777
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 79
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19562
60.2%
Common 12867
39.6%
Latin 61
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 1836
 
9.4%
포 1795
 
9.2%
등 1792
 
9.2%
가 1284
 
6.6%
동 821
 
4.2%
서 782
 
4.0%
시 780
 
4.0%
로 772
 
3.9%
별 771
 
3.9%
울 770
 
3.9%
Other values (187) 8159
41.7%
Latin
ValueCountFrequency (%)
A 7
11.5%
e 6
 
9.8%
D 5
 
8.2%
S 5
 
8.2%
K 4
 
6.6%
V 4
 
6.6%
B 4
 
6.6%
t 3
 
4.9%
r 3
 
4.9%
n 3
 
4.9%
Other values (12) 17
27.9%
Common
ValueCountFrequency (%)
* 5250
40.8%
4925
38.3%
, 1029
 
8.0%
) 777
 
6.0%
( 777
 
6.0%
- 79
 
0.6%
1 4
 
< 0.1%
3 4
 
< 0.1%
2 4
 
< 0.1%
9 4
 
< 0.1%
Other values (6) 14
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19562
60.2%
ASCII 12928
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 5250
40.6%
4925
38.1%
, 1029
 
8.0%
) 777
 
6.0%
( 777
 
6.0%
- 79
 
0.6%
A 7
 
0.1%
e 6
 
< 0.1%
D 5
 
< 0.1%
S 5
 
< 0.1%
Other values (28) 68
 
0.5%
Hangul
ValueCountFrequency (%)
영 1836
 
9.4%
포 1795
 
9.2%
등 1792
 
9.2%
가 1284
 
6.6%
동 821
 
4.2%
서 782
 
4.0%
시 780
 
4.0%
로 772
 
3.9%
별 771
 
3.9%
울 770
 
3.9%
Other values (187) 8159
41.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)19.6%
Missing488
Missing (%)61.5%
Infinite0
Infinite (%)0.0%
Mean14763.565
Minimum7207
Maximum150804
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-30T04:07:28.860597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7207
5-th percentile7222.25
Q17264
median7264
Q37264
95-th percentile114382
Maximum150804
Range143597
Interquartile range (IQR)0

Descriptive statistics

Standard deviation31959.199
Coefficient of variation (CV)2.1647345
Kurtosis14.434753
Mean14763.565
Median Absolute Deviation (MAD)0
Skewness4.0423202
Sum4517651
Variance1.0213904 × 109
MonotonicityNot monotonic
2024-04-30T04:07:29.150648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7264 187
 
23.6%
150723 10
 
1.3%
7250 7
 
0.9%
7291 5
 
0.6%
7263 4
 
0.5%
7222 4
 
0.5%
7213 4
 
0.5%
7299 4
 
0.5%
7327 4
 
0.5%
7257 4
 
0.5%
Other values (50) 73
 
9.2%
(Missing) 488
61.5%
ValueCountFrequency (%)
7207 3
0.4%
7208 2
0.3%
7213 4
0.5%
7214 2
0.3%
7217 1
 
0.1%
7222 4
0.5%
7223 2
0.3%
7226 1
 
0.1%
7230 1
 
0.1%
7236 2
0.3%
ValueCountFrequency (%)
150804 1
 
0.1%
150775 1
 
0.1%
150723 10
1.3%
150714 1
 
0.1%
150040 2
 
0.3%
150031 1
 
0.1%
7435 1
 
0.1%
7413 2
 
0.3%
7411 1
 
0.1%
7410 2
 
0.3%

사업장명
Text

Distinct773
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
2024-04-30T04:07:29.397349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length6.3085642
Min length2

Characters and Unicode

Total characters5009
Distinct characters426
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique753 ?
Unique (%)94.8%

Sample

1st row(주)아이맷
2nd row(주)엔플렉스
3rd row(주)제니스(서울사무소)
4th row(주)인비전엔터테인먼트
5th row리세븐전자
ValueCountFrequency (%)
주식회사 40
 
4.2%
소프트 26
 
2.8%
soft 9
 
1.0%
엔터테인먼트 7
 
0.7%
전자 7
 
0.7%
유원테크 3
 
0.3%
system 3
 
0.3%
아케이드 3
 
0.3%
스튜디오 2
 
0.2%
게임테크 2
 
0.2%
Other values (809) 842
89.2%
2024-04-30T04:07:29.757922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
트 237
 
4.7%
이 179
 
3.6%
주 177
 
3.5%
프 176
 
3.5%
소 165
 
3.3%
자 163
 
3.3%
전 162
 
3.2%
) 157
 
3.1%
( 155
 
3.1%
스 152
 
3.0%
Other values (416) 3286
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4031
80.5%
Uppercase Letter 285
 
5.7%
Lowercase Letter 162
 
3.2%
Close Punctuation 157
 
3.1%
Open Punctuation 155
 
3.1%
Space Separator 150
 
3.0%
Other Punctuation 31
 
0.6%
Decimal Number 31
 
0.6%
Dash Punctuation 6
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 237
 
5.9%
이 179
 
4.4%
주 177
 
4.4%
프 176
 
4.4%
소 165
 
4.1%
자 163
 
4.0%
전 162
 
4.0%
스 152
 
3.8%
테 78
 
1.9%
아 76
 
1.9%
Other values (352) 2466
61.2%
Uppercase Letter
ValueCountFrequency (%)
S 36
 
12.6%
M 25
 
8.8%
G 21
 
7.4%
T 21
 
7.4%
J 20
 
7.0%
E 17
 
6.0%
N 15
 
5.3%
A 14
 
4.9%
C 13
 
4.6%
P 11
 
3.9%
Other values (14) 92
32.3%
Lowercase Letter
ValueCountFrequency (%)
o 22
13.6%
e 19
11.7%
n 15
 
9.3%
t 13
 
8.0%
a 10
 
6.2%
r 8
 
4.9%
i 8
 
4.9%
s 7
 
4.3%
m 7
 
4.3%
f 7
 
4.3%
Other values (13) 46
28.4%
Decimal Number
ValueCountFrequency (%)
2 9
29.0%
0 7
22.6%
3 5
16.1%
9 2
 
6.5%
6 2
 
6.5%
1 2
 
6.5%
7 2
 
6.5%
5 2
 
6.5%
Other Punctuation
ValueCountFrequency (%)
. 23
74.2%
& 5
 
16.1%
, 2
 
6.5%
? 1
 
3.2%
Close Punctuation
ValueCountFrequency (%)
) 157
100.0%
Open Punctuation
ValueCountFrequency (%)
( 155
100.0%
Space Separator
ValueCountFrequency (%)
150
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4027
80.4%
Common 531
 
10.6%
Latin 447
 
8.9%
Han 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 237
 
5.9%
이 179
 
4.4%
주 177
 
4.4%
프 176
 
4.4%
소 165
 
4.1%
자 163
 
4.0%
전 162
 
4.0%
스 152
 
3.8%
테 78
 
1.9%
아 76
 
1.9%
Other values (348) 2462
61.1%
Latin
ValueCountFrequency (%)
S 36
 
8.1%
M 25
 
5.6%
o 22
 
4.9%
G 21
 
4.7%
T 21
 
4.7%
J 20
 
4.5%
e 19
 
4.3%
E 17
 
3.8%
n 15
 
3.4%
N 15
 
3.4%
Other values (37) 236
52.8%
Common
ValueCountFrequency (%)
) 157
29.6%
( 155
29.2%
150
28.2%
. 23
 
4.3%
2 9
 
1.7%
0 7
 
1.3%
- 6
 
1.1%
3 5
 
0.9%
& 5
 
0.9%
9 2
 
0.4%
Other values (7) 12
 
2.3%
Han
ValueCountFrequency (%)
子 1
25.0%
盛 1
25.0%
電 1
25.0%
大 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4027
80.4%
ASCII 978
 
19.5%
CJK 4
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
트 237
 
5.9%
이 179
 
4.4%
주 177
 
4.4%
프 176
 
4.4%
소 165
 
4.1%
자 163
 
4.0%
전 162
 
4.0%
스 152
 
3.8%
테 78
 
1.9%
아 76
 
1.9%
Other values (348) 2462
61.1%
ASCII
ValueCountFrequency (%)
) 157
16.1%
( 155
15.8%
150
15.3%
S 36
 
3.7%
M 25
 
2.6%
. 23
 
2.4%
o 22
 
2.2%
G 21
 
2.1%
T 21
 
2.1%
J 20
 
2.0%
Other values (54) 348
35.6%
CJK
ValueCountFrequency (%)
子 1
25.0%
盛 1
25.0%
電 1
25.0%
大 1
25.0%

최종수정일자
Date

Distinct791
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
Minimum2006-02-16 14:13:25
Maximum2024-04-17 14:51:18
2024-04-30T04:07:29.888276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:07:30.014663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
I
734 
U
 
60

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 734
92.4%
U 60
 
7.6%

Length

2024-04-30T04:07:30.126816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:07:30.210538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 734
92.4%
u 60
 
7.6%

데이터갱신일자
Date

Distinct122
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-30T04:07:30.304711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:07:30.432055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing794
Missing (%)100.0%
Memory size7.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct190
Distinct (%)24.5%
Missing18
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean190898.44
Minimum189607.6
Maximum194592.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-30T04:07:30.553771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189607.6
5-th percentile190371.74
Q1190555.77
median190555.77
Q3190675.38
95-th percentile192966.23
Maximum194592.28
Range4984.6779
Interquartile range (IQR)119.61457

Descriptive statistics

Standard deviation833.23023
Coefficient of variation (CV)0.0043647828
Kurtosis5.3275396
Mean190898.44
Median Absolute Deviation (MAD)0
Skewness2.3953754
Sum1.4813719 × 108
Variance694272.62
MonotonicityNot monotonic
2024-04-30T04:07:30.668098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190555.768991595 512
64.5%
191664.493556214 6
 
0.8%
190472.883048154 5
 
0.6%
190217.705071932 5
 
0.6%
190996.357288859 5
 
0.6%
193501.453598102 4
 
0.5%
192785.997964211 4
 
0.5%
190364.652010662 4
 
0.5%
193282.654266684 4
 
0.5%
190484.482550269 4
 
0.5%
Other values (180) 223
28.1%
(Missing) 18
 
2.3%
ValueCountFrequency (%)
189607.598899153 1
0.1%
189634.534045659 1
0.1%
189748.379334427 1
0.1%
189804.408611003 1
0.1%
189849.410292461 1
0.1%
189859.071768836 1
0.1%
189862.670939789 2
0.3%
189877.032334127 1
0.1%
189955.804848895 1
0.1%
189959.044020878 1
0.1%
ValueCountFrequency (%)
194592.276750438 1
 
0.1%
194561.746032498 3
0.4%
194530.535390096 1
 
0.1%
194118.038241723 1
 
0.1%
194028.635844427 1
 
0.1%
193861.272368256 1
 
0.1%
193839.302798329 1
 
0.1%
193818.18014 2
0.3%
193767.829589155 3
0.4%
193767.231404334 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct190
Distinct (%)24.5%
Missing18
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean446636.46
Minimum442905.12
Maximum448548.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-30T04:07:30.770868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442905.12
5-th percentile445816.79
Q1446698.81
median446698.81
Q3446698.81
95-th percentile447447.58
Maximum448548.48
Range5643.3631
Interquartile range (IQR)0

Descriptive statistics

Standard deviation642.67279
Coefficient of variation (CV)0.001438917
Kurtosis11.972343
Mean446636.46
Median Absolute Deviation (MAD)0
Skewness-2.5882608
Sum3.4658989 × 108
Variance413028.32
MonotonicityNot monotonic
2024-04-30T04:07:30.879170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
446698.814322782 512
64.5%
446608.81377396 6
 
0.8%
446553.879577641 5
 
0.6%
446449.917568696 5
 
0.6%
445841.377603245 5
 
0.6%
446959.020722485 4
 
0.5%
447523.1165117 4
 
0.5%
447158.946262059 4
 
0.5%
447611.552045596 4
 
0.5%
446650.413562534 4
 
0.5%
Other values (180) 223
28.1%
(Missing) 18
 
2.3%
ValueCountFrequency (%)
442905.116903156 1
0.1%
442950.2893204 1
0.1%
443238.538765334 1
0.1%
443459.977285487 1
0.1%
443505.951042562 1
0.1%
443588.138028497 1
0.1%
443604.016111152 1
0.1%
443638.704942648 1
0.1%
443689.545421548 2
0.3%
443708.404798218 1
0.1%
ValueCountFrequency (%)
448548.48004759 1
0.1%
448495.395437399 1
0.1%
448436.126322646 2
0.3%
448416.458615296 1
0.1%
448326.085721749 1
0.1%
448224.111919951 1
0.1%
448218.446478138 1
0.1%
448187.218576463 1
0.1%
448172.838071714 1
0.1%
448163.362195306 1
0.1%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
게임물제작업
737 
<NA>
 
57

Length

Max length6
Median length6
Mean length5.8564232
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물제작업 737
92.8%
<NA> 57
 
7.2%

Length

2024-04-30T04:07:30.993313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:07:31.084149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물제작업 737
92.8%
na 57
 
7.2%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
유통관련업
737 
<NA>
 
57

Length

Max length5
Median length5
Mean length4.9282116
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 737
92.8%
<NA> 57
 
7.2%

Length

2024-04-30T04:07:31.169883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:07:31.250859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 737
92.8%
na 57
 
7.2%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)1.8%
Missing57
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean0.56037992
Minimum0
Maximum15
Zeros684
Zeros (%)86.1%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-30T04:07:31.321541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.146016
Coefficient of variation (CV)3.8295733
Kurtosis15.795126
Mean0.56037992
Median Absolute Deviation (MAD)0
Skewness3.9927919
Sum413
Variance4.6053846
MonotonicityNot monotonic
2024-04-30T04:07:31.417037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 684
86.1%
8 24
 
3.0%
10 8
 
1.0%
4 4
 
0.5%
5 4
 
0.5%
3 3
 
0.4%
15 2
 
0.3%
6 2
 
0.3%
11 2
 
0.3%
2 1
 
0.1%
Other values (3) 3
 
0.4%
(Missing) 57
 
7.2%
ValueCountFrequency (%)
0 684
86.1%
2 1
 
0.1%
3 3
 
0.4%
4 4
 
0.5%
5 4
 
0.5%
6 2
 
0.3%
7 1
 
0.1%
8 24
 
3.0%
9 1
 
0.1%
10 8
 
1.0%
ValueCountFrequency (%)
15 2
 
0.3%
14 1
 
0.1%
11 2
 
0.3%
10 8
 
1.0%
9 1
 
0.1%
8 24
3.0%
7 1
 
0.1%
6 2
 
0.3%
5 4
 
0.5%
4 4
 
0.5%

주변환경명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
741 
기타
 
49
학교정화(상대)
 
1
주택가주변
 
1
유흥업소밀집지역
 
1

Length

Max length8
Median length4
Mean length3.8891688
Min length2

Unique

Unique4 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 741
93.3%
기타 49
 
6.2%
학교정화(상대) 1
 
0.1%
주택가주변 1
 
0.1%
유흥업소밀집지역 1
 
0.1%
아파트지역 1
 
0.1%

Length

2024-04-30T04:07:31.532845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:07:31.624845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 741
93.3%
기타 49
 
6.2%
학교정화(상대 1
 
0.1%
주택가주변 1
 
0.1%
유흥업소밀집지역 1
 
0.1%
아파트지역 1
 
0.1%

제작취급품목내용
Text

MISSING 

Distinct142
Distinct (%)21.5%
Missing135
Missing (%)17.0%
Memory size6.3 KiB
2024-04-30T04:07:31.850313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length3
Mean length4.8209408
Min length2

Characters and Unicode

Total characters3177
Distinct characters106
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique112 ?
Unique (%)17.0%

Sample

1st row게임물
2nd row게임물
3rd row게임물
4th row게임물
5th row게임물
ValueCountFrequency (%)
게임물 359
45.8%
게임기 78
 
9.9%
아케이드 29
 
3.7%
게임 18
 
2.3%
아케이드게임물 17
 
2.2%
모바일게임 17
 
2.2%
온라인게임 15
 
1.9%
아케이드게임 14
 
1.8%
소프트웨어 13
 
1.7%
아케이드게임기 11
 
1.4%
Other values (108) 213
27.2%
2024-04-30T04:07:32.229866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 634
20.0%
임 633
19.9%
물 398
12.5%
기 132
 
4.2%
125
 
3.9%
이 103
 
3.2%
케 92
 
2.9%
드 91
 
2.9%
아 90
 
2.8%
프 58
 
1.8%
Other values (96) 821
25.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2960
93.2%
Space Separator 125
 
3.9%
Other Punctuation 36
 
1.1%
Open Punctuation 17
 
0.5%
Close Punctuation 17
 
0.5%
Uppercase Letter 14
 
0.4%
Lowercase Letter 6
 
0.2%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 634
21.4%
임 633
21.4%
물 398
13.4%
기 132
 
4.5%
이 103
 
3.5%
케 92
 
3.1%
드 91
 
3.1%
아 90
 
3.0%
프 58
 
2.0%
인 46
 
1.6%
Other values (78) 683
23.1%
Uppercase Letter
ValueCountFrequency (%)
C 4
28.6%
P 3
21.4%
R 2
14.3%
V 2
14.3%
A 1
 
7.1%
S 1
 
7.1%
D 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
m 2
33.3%
g 1
16.7%
r 1
16.7%
p 1
16.7%
o 1
16.7%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
8 1
50.0%
Space Separator
ValueCountFrequency (%)
125
100.0%
Other Punctuation
ValueCountFrequency (%)
, 36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2960
93.2%
Common 197
 
6.2%
Latin 20
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 634
21.4%
임 633
21.4%
물 398
13.4%
기 132
 
4.5%
이 103
 
3.5%
케 92
 
3.1%
드 91
 
3.1%
아 90
 
3.0%
프 58
 
2.0%
인 46
 
1.6%
Other values (78) 683
23.1%
Latin
ValueCountFrequency (%)
C 4
20.0%
P 3
15.0%
R 2
10.0%
V 2
10.0%
m 2
10.0%
g 1
 
5.0%
r 1
 
5.0%
p 1
 
5.0%
A 1
 
5.0%
o 1
 
5.0%
Other values (2) 2
10.0%
Common
ValueCountFrequency (%)
125
63.5%
, 36
 
18.3%
( 17
 
8.6%
) 17
 
8.6%
1 1
 
0.5%
8 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2960
93.2%
ASCII 217
 
6.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 634
21.4%
임 633
21.4%
물 398
13.4%
기 132
 
4.5%
이 103
 
3.5%
케 92
 
3.1%
드 91
 
3.1%
아 90
 
3.0%
프 58
 
2.0%
인 46
 
1.6%
Other values (78) 683
23.1%
ASCII
ValueCountFrequency (%)
125
57.6%
, 36
 
16.6%
( 17
 
7.8%
) 17
 
7.8%
C 4
 
1.8%
P 3
 
1.4%
R 2
 
0.9%
V 2
 
0.9%
m 2
 
0.9%
g 1
 
0.5%
Other values (8) 8
 
3.7%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct173
Distinct (%)23.5%
Missing57
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean41.093664
Minimum0
Maximum5778.01
Zeros294
Zeros (%)37.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-30T04:07:32.348833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median15
Q330
95-th percentile91.424
Maximum5778.01
Range5778.01
Interquartile range (IQR)30

Descriptive statistics

Standard deviation249.68995
Coefficient of variation (CV)6.0761182
Kurtosis388.50975
Mean41.093664
Median Absolute Deviation (MAD)15
Skewness18.080642
Sum30286.03
Variance62345.074
MonotonicityNot monotonic
2024-04-30T04:07:32.485158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 294
37.0%
18.0 78
 
9.8%
15.0 35
 
4.4%
30.0 17
 
2.1%
42.75 15
 
1.9%
33.0 12
 
1.5%
10.0 11
 
1.4%
21.0 11
 
1.4%
36.0 8
 
1.0%
23.4 7
 
0.9%
Other values (163) 249
31.4%
(Missing) 57
 
7.2%
ValueCountFrequency (%)
0.0 294
37.0%
1.0 6
 
0.8%
4.95 1
 
0.1%
7.0 4
 
0.5%
8.0 1
 
0.1%
9.0 6
 
0.8%
9.2 1
 
0.1%
9.25 2
 
0.3%
9.72 1
 
0.1%
9.9 3
 
0.4%
ValueCountFrequency (%)
5778.01 1
0.1%
1847.0 1
0.1%
1715.9 1
0.1%
1529.13 1
0.1%
1324.0 1
0.1%
998.3 1
0.1%
975.41 1
0.1%
323.5 1
0.1%
322.34 1
0.1%
306.97 1
0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)1.8%
Missing57
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean0.49253731
Minimum0
Maximum13
Zeros670
Zeros (%)84.4%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-30T04:07:32.590535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.746195
Coefficient of variation (CV)3.545305
Kurtosis15.634093
Mean0.49253731
Median Absolute Deviation (MAD)0
Skewness3.895118
Sum363
Variance3.049197
MonotonicityNot monotonic
2024-04-30T04:07:32.688333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 670
84.4%
6 25
 
3.1%
3 13
 
1.6%
8 9
 
1.1%
2 6
 
0.8%
1 3
 
0.4%
5 3
 
0.4%
4 2
 
0.3%
9 2
 
0.3%
11 1
 
0.1%
Other values (3) 3
 
0.4%
(Missing) 57
 
7.2%
ValueCountFrequency (%)
0 670
84.4%
1 3
 
0.4%
2 6
 
0.8%
3 13
 
1.6%
4 2
 
0.3%
5 3
 
0.4%
6 25
 
3.1%
8 9
 
1.1%
9 2
 
0.3%
10 1
 
0.1%
ValueCountFrequency (%)
13 1
 
0.1%
12 1
 
0.1%
11 1
 
0.1%
10 1
 
0.1%
9 2
 
0.3%
8 9
 
1.1%
6 25
3.1%
5 3
 
0.4%
4 2
 
0.3%
3 13
1.6%

지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
691 
<NA>
 
57
2
 
33
1
 
11
4
 
1

Length

Max length4
Median length1
Mean length1.2153652
Min length1

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 691
87.0%
<NA> 57
 
7.2%
2 33
 
4.2%
1 11
 
1.4%
4 1
 
0.1%
5 1
 
0.1%

Length

2024-04-30T04:07:32.790973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:07:32.887101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 691
87.0%
na 57
 
7.2%
2 33
 
4.2%
1 11
 
1.4%
4 1
 
0.1%
5 1
 
0.1%

건물용도명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
735 
근린생활시설
 
44
사무실
 
8
판매시설
 
4
유통시설
 
2

Length

Max length6
Median length4
Mean length4.0982368
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 735
92.6%
근린생활시설 44
 
5.5%
사무실 8
 
1.0%
판매시설 4
 
0.5%
유통시설 2
 
0.3%
기타 1
 
0.1%

Length

2024-04-30T04:07:32.999588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:07:33.105443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 735
92.6%
근린생활시설 44
 
5.5%
사무실 8
 
1.0%
판매시설 4
 
0.5%
유통시설 2
 
0.3%
기타 1
 
0.1%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
737 
<NA>
 
57

Length

Max length4
Median length1
Mean length1.2153652
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 737
92.8%
<NA> 57
 
7.2%

Length

2024-04-30T04:07:33.205817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:07:33.289573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 737
92.8%
na 57
 
7.2%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
737 
<NA>
 
57

Length

Max length4
Median length1
Mean length1.2153652
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 737
92.8%
<NA> 57
 
7.2%

Length

2024-04-30T04:07:33.373888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:07:33.466703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 737
92.8%
na 57
 
7.2%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
737 
<NA>
 
57

Length

Max length4
Median length1
Mean length1.2153652
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 737
92.8%
<NA> 57
 
7.2%

Length

2024-04-30T04:07:33.556622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:07:33.640212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 737
92.8%
na 57
 
7.2%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
737 
<NA>
 
57

Length

Max length4
Median length1
Mean length1.2153652
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 737
92.8%
<NA> 57
 
7.2%

Length

2024-04-30T04:07:33.725750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:07:33.822865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 737
92.8%
na 57
 
7.2%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing794
Missing (%)100.0%
Memory size7.1 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing794
Missing (%)100.0%
Memory size7.1 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing794
Missing (%)100.0%
Memory size7.1 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing794
Missing (%)100.0%
Memory size7.1 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing794
Missing (%)100.0%
Memory size7.1 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing794
Missing (%)100.0%
Memory size7.1 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing794
Missing (%)100.0%
Memory size7.1 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing794
Missing (%)100.0%
Memory size7.1 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing794
Missing (%)100.0%
Memory size7.1 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing794
Missing (%)100.0%
Memory size7.1 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing794
Missing (%)100.0%
Memory size7.1 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
737 
<NA>
 
57

Length

Max length4
Median length1
Mean length1.2153652
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 737
92.8%
<NA> 57
 
7.2%

Length

2024-04-30T04:07:34.125258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:07:34.211707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 737
92.8%
na 57
 
7.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing794
Missing (%)100.0%
Memory size7.1 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing794
Missing (%)100.0%
Memory size7.1 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing794
Missing (%)100.0%
Memory size7.1 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing794
Missing (%)100.0%
Memory size7.1 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing794
Missing (%)100.0%
Memory size7.1 KiB

지역구분명
Categorical

IMBALANCE 

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
738 
준공업지역
 
43
일반상업지역
 
5
준주거지역
 
4
상업지역
 
1
Other values (3)
 
3

Length

Max length6
Median length4
Mean length4.0768262
Min length4

Unique

Unique4 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 738
92.9%
준공업지역 43
 
5.4%
일반상업지역 5
 
0.6%
준주거지역 4
 
0.5%
상업지역 1
 
0.1%
주거지역 1
 
0.1%
일반주거지역 1
 
0.1%
근린상업지역 1
 
0.1%

Length

2024-04-30T04:07:34.313537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:07:34.416798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 738
92.9%
준공업지역 43
 
5.4%
일반상업지역 5
 
0.6%
준주거지역 4
 
0.5%
상업지역 1
 
0.1%
주거지역 1
 
0.1%
일반주거지역 1
 
0.1%
근린상업지역 1
 
0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03180000CDFF224108199900000119990709<NA>4취소/말소/만료/정지/중지35직권말소20110328<NA><NA><NA>780-2259<NA><NA>서울특별시 영등포구 여의도동 **번지 두레빌딩***-*호서울특별시 영등포구 국제금융로*길 * (여의도동,두레빌딩***-*호)<NA>(주)아이맷2011-03-28 12:22:02I2018-08-31 23:59:59.0<NA>193466.508883446931.44364게임물제작업유통관련업0<NA>게임물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
13180000CDFF224108199900000219991105<NA>4취소/말소/만료/정지/중지35직권말소20110328<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 문래동*가 **-**번지 우리벤처타운***호서울특별시 영등포구 선유로 ** (문래동*가,우리벤처타운***호)<NA>(주)엔플렉스2011-03-28 12:29:58I2018-08-31 23:59:59.0<NA>190217.705072446449.917569게임물제작업유통관련업0<NA>게임물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
23180000CDFF224108199900000319990909<NA>4취소/말소/만료/정지/중지35직권말소20110328<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 당산동*가 **-*번지 영등포유통상가*층라열**호서울특별시 영등포구 영등포로 *** (당산동*가,영등포유통상가*층라열**호)<NA>(주)제니스(서울사무소)2011-03-28 12:33:49I2018-08-31 23:59:59.0<NA>190555.768992446698.814323게임물제작업유통관련업0<NA>게임물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
33180000CDFF224108199900000419991004<NA>4취소/말소/만료/정지/중지35직권말소20110328<NA><NA><NA>714-1511<NA><NA>서울특별시 영등포구 여의도동 **-*번지 신동해빌딩 ***호서울특별시 영등포구 국회대로**길 **, ***호 (여의도동,신동해빌딩)<NA>(주)인비전엔터테인먼트2011-03-28 12:32:10I2018-08-31 23:59:59.0<NA>192802.57413447420.296576게임물제작업유통관련업0<NA>게임물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
43180000CDFF224108199900000519990712<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 당산동*가 **-*번지 유통상가 *층 다- *동서울특별시 영등포구 영등포로 *** (당산동*가, *층다-*동)7264리세븐전자2011-10-30 15:16:31I2018-08-31 23:59:59.0<NA>190555.768992446698.814323게임물제작업유통관련업0<NA>게임물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
53180000CDFF224108199900000619990104<NA>1영업/정상13영업중<NA><NA><NA><NA>789-0100<NA><NA>서울특별시 영등포구 여의도동 **-*번지서울특별시 영등포구 국제금융로 ** (여의도동)7327(주)MBC프로덕션2011-10-31 10:24:15I2018-08-31 23:59:59.0<NA>193501.453598446959.020722게임물제작업유통관련업0<NA>게임물30.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
63180000CDFF224108199900000719990724<NA>3폐업3폐업20141229<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 당산동*가 **-*번지 영등포유통상가*층*호서울특별시 영등포구 영등포로 *** (당산동*가,영등포유통상가*층*호)<NA>세이마코리아2014-12-29 16:27:15I2018-08-31 23:59:59.0<NA>190555.768992446698.814323게임물제작업유통관련업0<NA>게임물30.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
73180000CDFF22410819990000081999-09-06<NA>3폐업3폐업2024-04-01<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 당산동*가 **-* 영등포유통상가 *층바열 **호서울특별시 영등포구 영등포로 *** (당산동*가,영등포유통상가 *층바열 **호)<NA>지원2024-04-03 15:45:35U2023-12-04 00:06:00.0<NA>190555.768992446698.814323<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83180000CDFF224108199900000919990701<NA>3폐업3폐업20170922<NA><NA><NA>02-2677-4107<NA><NA>서울특별시 영등포구 당산동*가 **-*번지 영등포유통상가 *층 바열 *호서울특별시 영등포구 영등포로 *** (당산동*가,영등포유통상가 *층 바열 *호)<NA>준전자2017-09-25 15:13:58I2018-08-31 23:59:59.0<NA>190555.768992446698.814323게임물제작업유통관련업0<NA>게임물18.1600<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
93180000CDFF224108200000000120000304<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>150723서울특별시 영등포구 당산동*가 **-*번지 영등포유통상가*층나열**호서울특별시 영등포구 영등포로 *** (당산동*가,영등포유통상가*층나열**호)<NA>(주)아이에이이메카트로닉스2006-03-22 17:20:56I2018-08-31 23:59:59.0<NA>190555.768992446698.814323게임물제작업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
7843180000CDFF22410820230000082023-06-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 당산동*가 ***서울특별시 영등포구 국회대로**길 *-*, *층 d***호 (당산동*가)725720페이지(20PAGE)2023-06-02 17:15:14I2022-12-06 00:04:00.0<NA>190911.09589447178.670382<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7853180000CDFF22410820230000092023-06-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 당산동*가 **-* 영등포유통상가서울특별시 영등포구 영등포로 ***, 영등포유통상가 *층 나열 **호 (당산동*가)7264제이앤피솔루션2023-06-20 11:11:18I2022-12-05 22:02:00.0<NA>190555.768992446698.814323<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7863180000CDFF22410820230000102023-07-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 당산동*가 **-* 영등포유통상가서울특별시 영등포구 영등포로 ***, 영등포유통상가 *층 나열 **호 (당산동*가)7264(주)다전2023-07-24 10:00:03I2022-12-06 22:06:00.0<NA>190555.768992446698.814323<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7873180000CDFF22410820230000112023-08-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 당산동*가 **-* 영등포유통상가서울특별시 영등포구 영등포로 ***, 영등포유통상가 제*층 제가열**호 (당산동*가)7264다올소프트2023-08-10 15:50:04I2022-12-07 23:02:00.0<NA>190555.768992446698.814323<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7883180000CDFF22410820230000122007-11-22<NA>3폐업3폐업2023-11-24<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 문래동*가 ** 리버뷰 신안인스빌서울특별시 영등포구 경인로**길 **, ***동 ***-***호 (문래동*가, 리버뷰 신안인스빌)7287리얼네트웍스 아시아퍼시픽 주식회사2023-11-24 17:40:34I2022-10-31 22:06:00.0<NA>190079.219797445778.895202<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7893180000CDFF22410820230000132023-11-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 양평동*가 ** 이앤씨드림타워서울특별시 영등포구 선유로 ***, 이앤씨드림타워 ****호 (양평동*가)7255주식회사 짱2023-11-29 14:28:54I2022-11-02 00:01:00.0<NA>190364.652011447158.946262<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7903180000CDFF22410820240000012024-01-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 당산동*가 **-* 영등포유통상가서울특별시 영등포구 영등포로 ***, 영등포유통상가 *바 *호 (당산동*가)7264미래전자2024-01-08 14:18:32I2023-11-30 23:00:00.0<NA>190555.768992446698.814323<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7913180000CDFF22410820240000022024-02-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 양평동*가 **-* 명서빌딩서울특별시 영등포구 양평로 ***-*, 명서빌딩 *층 (양평동*가)7208주식회사 위플레이라이트2024-02-08 13:20:50I2023-12-01 23:01:00.0<NA>190640.525897448326.085722<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7923180000CDFF22410820240000032024-02-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 당산동*가 **-* 영등포유통상가서울특별시 영등포구 영등포로 ***, 영등포유통상가 *층 다열 **호,**호 (당산동*가)7264이김 엔터테인먼트(WIN ENTERTAINMENT)2024-02-14 16:27:55I2023-12-01 23:07:00.0<NA>190555.768992446698.814323<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7933180000CDFF22410820240000042024-03-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 당산동*가 ***서울특별시 영등포구 국회대로**길 *-*, *층 A****호 (당산동*가)7257햄마우스 엔터테인먼트 유한책임회사2024-03-07 10:18:04I2023-12-03 00:09:00.0<NA>190911.09589447178.670382<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>