Overview

Dataset statistics

Number of variables56
Number of observations30
Missing cells1060
Missing cells (%)63.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.5 KiB
Average record size in memory493.4 B

Variable types

Categorical10
Text6
DateTime3
Unsupported32
Numeric5

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
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-16690/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화체육업종명 is highly imbalanced (64.7%)Imbalance
문화사업자구분명 is highly imbalanced (64.7%)Imbalance
지하층수 is highly imbalanced (78.9%)Imbalance
인허가취소일자 has 30 (100.0%) missing valuesMissing
폐업일자 has 24 (80.0%) missing valuesMissing
휴업시작일자 has 30 (100.0%) missing valuesMissing
휴업종료일자 has 30 (100.0%) missing valuesMissing
재개업일자 has 30 (100.0%) missing valuesMissing
전화번호 has 16 (53.3%) missing valuesMissing
소재지면적 has 30 (100.0%) missing valuesMissing
소재지우편번호 has 21 (70.0%) missing valuesMissing
지번주소 has 2 (6.7%) missing valuesMissing
도로명우편번호 has 16 (53.3%) missing valuesMissing
업태구분명 has 30 (100.0%) missing valuesMissing
총층수 has 30 (100.0%) missing valuesMissing
주변환경명 has 30 (100.0%) missing valuesMissing
제작취급품목내용 has 9 (30.0%) missing valuesMissing
시설면적 has 12 (40.0%) missing valuesMissing
지상층수 has 30 (100.0%) missing valuesMissing
건물용도명 has 30 (100.0%) missing valuesMissing
통로너비 has 30 (100.0%) missing valuesMissing
조명시설조도 has 30 (100.0%) missing valuesMissing
노래방실수 has 30 (100.0%) missing valuesMissing
청소년실수 has 30 (100.0%) missing valuesMissing
비상계단여부 has 30 (100.0%) missing valuesMissing
비상구여부 has 30 (100.0%) missing valuesMissing
자동환기여부 has 30 (100.0%) missing valuesMissing
청소년실여부 has 30 (100.0%) missing valuesMissing
특수조명여부 has 30 (100.0%) missing valuesMissing
방음시설여부 has 30 (100.0%) missing valuesMissing
비디오재생기명 has 30 (100.0%) missing valuesMissing
조명시설유무 has 30 (100.0%) missing valuesMissing
음향시설여부 has 30 (100.0%) missing valuesMissing
편의시설여부 has 30 (100.0%) missing valuesMissing
소방시설여부 has 30 (100.0%) missing valuesMissing
총게임기수 has 30 (100.0%) missing valuesMissing
기존게임업외업종명 has 30 (100.0%) missing valuesMissing
제공게임물명 has 30 (100.0%) missing valuesMissing
공연장형태구분명 has 30 (100.0%) missing valuesMissing
품목명 has 30 (100.0%) missing valuesMissing
최초등록시점 has 30 (100.0%) missing valuesMissing
지역구분명 has 30 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
도로명주소 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
총층수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지상층수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
통로너비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설조도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 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
총게임기수 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
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 1 (3.3%) zerosZeros

Reproduction

Analysis started2024-04-29 19:06:22.990364
Analysis finished2024-04-29 19:06:23.733351
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
3240000
30 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3240000
2nd row3240000
3rd row3240000
4th row3240000
5th row3240000

Common Values

ValueCountFrequency (%)
3240000 30
100.0%

Length

2024-04-30T04:06:23.814989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:06:23.892316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 30
100.0%

관리번호
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-04-30T04:06:24.056313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters600
Distinct characters12
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

Unique30 ?
Unique (%)100.0%

Sample

1st rowCDFF2241122000000001
2nd rowCDFF2241122000000002
3rd rowCDFF2241122001000001
4th rowCDFF2241122001000002
5th rowCDFF2241122002000001
ValueCountFrequency (%)
cdff2241122000000001 1
 
3.3%
cdff2241122000000002 1
 
3.3%
cdff2241122021000001 1
 
3.3%
cdff2241122020000003 1
 
3.3%
cdff2241122020000001 1
 
3.3%
cdff2241122018000002 1
 
3.3%
cdff2241122018000001 1
 
3.3%
cdff2241122017000002 1
 
3.3%
cdff2241122017000001 1
 
3.3%
cdff2241122016000001 1
 
3.3%
Other values (20) 20
66.7%
2024-04-30T04:06:24.323544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 198
33.0%
2 138
23.0%
1 97
16.2%
F 60
 
10.0%
4 31
 
5.2%
C 30
 
5.0%
D 30
 
5.0%
3 5
 
0.8%
8 4
 
0.7%
5 3
 
0.5%
Other values (2) 4
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 480
80.0%
Uppercase Letter 120
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 198
41.2%
2 138
28.7%
1 97
20.2%
4 31
 
6.5%
3 5
 
1.0%
8 4
 
0.8%
5 3
 
0.6%
7 3
 
0.6%
6 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
F 60
50.0%
C 30
25.0%
D 30
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 480
80.0%
Latin 120
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 198
41.2%
2 138
28.7%
1 97
20.2%
4 31
 
6.5%
3 5
 
1.0%
8 4
 
0.8%
5 3
 
0.6%
7 3
 
0.6%
6 1
 
0.2%
Latin
ValueCountFrequency (%)
F 60
50.0%
C 30
25.0%
D 30
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 198
33.0%
2 138
23.0%
1 97
16.2%
F 60
 
10.0%
4 31
 
5.2%
C 30
 
5.0%
D 30
 
5.0%
3 5
 
0.8%
8 4
 
0.7%
5 3
 
0.5%
Other values (2) 4
 
0.7%

인허가일자
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2000-05-25 00:00:00
Maximum2023-03-21 00:00:00
2024-04-30T04:06:24.437463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:06:24.535874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B
Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
24 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 24
80.0%
3 6
 
20.0%

Length

2024-04-30T04:06:24.640802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:06:24.719089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 24
80.0%
3 6
 
20.0%

영업상태명
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
영업/정상
24 
폐업

Length

Max length5
Median length5
Mean length4.4
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 24
80.0%
폐업 6
 
20.0%

Length

2024-04-30T04:06:24.817348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:06:24.914665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 24
80.0%
폐업 6
 
20.0%
Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
13
24 
3

Length

Max length2
Median length2
Mean length1.8
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 24
80.0%
3 6
 
20.0%

Length

2024-04-30T04:06:25.005104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:06:25.086441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 24
80.0%
3 6
 
20.0%
Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
영업중
24 
폐업

Length

Max length3
Median length3
Mean length2.8
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 24
80.0%
폐업 6
 
20.0%

Length

2024-04-30T04:06:25.167311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:06:25.240687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 24
80.0%
폐업 6
 
20.0%

폐업일자
Date

MISSING 

Distinct6
Distinct (%)100.0%
Missing24
Missing (%)80.0%
Memory size372.0 B
Minimum2008-11-25 00:00:00
Maximum2023-11-07 00:00:00
2024-04-30T04:06:25.315337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:06:25.401006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

전화번호
Text

MISSING 

Distinct14
Distinct (%)100.0%
Missing16
Missing (%)53.3%
Memory size372.0 B
2024-04-30T04:06:25.532055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.0714286
Min length8

Characters and Unicode

Total characters127
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

Unique14 ?
Unique (%)100.0%

Sample

1st row476-1691
2nd row3426-9754
3rd row598-0356
4th row565-4292
5th row488-8800
ValueCountFrequency (%)
476-1691 1
 
7.1%
3426-9754 1
 
7.1%
598-0356 1
 
7.1%
565-4292 1
 
7.1%
488-8800 1
 
7.1%
488-8514 1
 
7.1%
1544-2079 1
 
7.1%
454-7034 1
 
7.1%
485-5130 1
 
7.1%
1544-1032 1
 
7.1%
Other values (4) 4
28.6%
2024-04-30T04:06:25.775632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 18
14.2%
- 17
13.4%
5 15
11.8%
0 13
10.2%
8 12
9.4%
2 11
8.7%
6 10
7.9%
7 9
7.1%
1 9
7.1%
3 7
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 110
86.6%
Dash Punctuation 17
 
13.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 18
16.4%
5 15
13.6%
0 13
11.8%
8 12
10.9%
2 11
10.0%
6 10
9.1%
7 9
8.2%
1 9
8.2%
3 7
 
6.4%
9 6
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 127
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 18
14.2%
- 17
13.4%
5 15
11.8%
0 13
10.2%
8 12
9.4%
2 11
8.7%
6 10
7.9%
7 9
7.1%
1 9
7.1%
3 7
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 127
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 18
14.2%
- 17
13.4%
5 15
11.8%
0 13
10.2%
8 12
9.4%
2 11
8.7%
6 10
7.9%
7 9
7.1%
1 9
7.1%
3 7
 
5.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)77.8%
Missing21
Missing (%)70.0%
Infinite0
Infinite (%)0.0%
Mean134869
Minimum134850
Maximum134890
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-30T04:06:25.877319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum134850
5-th percentile134850.4
Q1134859
median134870
Q3134873
95-th percentile134888
Maximum134890
Range40
Interquartile range (IQR)14

Descriptive statistics

Standard deviation13.7659
Coefficient of variation (CV)0.00010206867
Kurtosis-0.79842106
Mean134869
Median Absolute Deviation (MAD)11
Skewness-0.012568135
Sum1213821
Variance189.5
MonotonicityNot monotonic
2024-04-30T04:06:25.979093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
134870 2
 
6.7%
134873 2
 
6.7%
134885 1
 
3.3%
134890 1
 
3.3%
134859 1
 
3.3%
134851 1
 
3.3%
134850 1
 
3.3%
(Missing) 21
70.0%
ValueCountFrequency (%)
134850 1
3.3%
134851 1
3.3%
134859 1
3.3%
134870 2
6.7%
134873 2
6.7%
134885 1
3.3%
134890 1
3.3%
ValueCountFrequency (%)
134890 1
3.3%
134885 1
3.3%
134873 2
6.7%
134870 2
6.7%
134859 1
3.3%
134851 1
3.3%
134850 1
3.3%

지번주소
Text

MISSING 

Distinct28
Distinct (%)100.0%
Missing2
Missing (%)6.7%
Memory size372.0 B
2024-04-30T04:06:26.148989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length31.5
Mean length28.321429
Min length19

Characters and Unicode

Total characters793
Distinct characters68
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row서울특별시 강동구 천호동 ***-*번지
2nd row서울특별시 강동구 암사동 ***-*번지 포커스빌딩 ***
3rd row서울특별시 강동구 천호동 ***번지 동아코아빌딩 ***호
4th row서울특별시 강동구 성내동 ***-*번지 성내빌딩 *층
5th row서울특별시 강동구 천호동 ***번지 민호빌딩*층
ValueCountFrequency (%)
서울특별시 28
18.8%
강동구 28
18.8%
번지 23
15.4%
천호동 10
 
6.7%
9
 
6.0%
성내동 9
 
6.0%
6
 
4.0%
4
 
2.7%
암사동 4
 
2.7%
동아코아빌딩 2
 
1.3%
Other values (24) 26
17.4%
2024-04-30T04:06:26.418416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 160
20.2%
141
17.8%
60
 
7.6%
31
 
3.9%
29
 
3.7%
28
 
3.5%
28
 
3.5%
28
 
3.5%
28
 
3.5%
28
 
3.5%
Other values (58) 232
29.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 468
59.0%
Other Punctuation 160
 
20.2%
Space Separator 141
 
17.8%
Dash Punctuation 22
 
2.8%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
60
 
12.8%
31
 
6.6%
29
 
6.2%
28
 
6.0%
28
 
6.0%
28
 
6.0%
28
 
6.0%
28
 
6.0%
26
 
5.6%
23
 
4.9%
Other values (53) 159
34.0%
Other Punctuation
ValueCountFrequency (%)
* 160
100.0%
Space Separator
ValueCountFrequency (%)
141
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 468
59.0%
Common 325
41.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
60
 
12.8%
31
 
6.6%
29
 
6.2%
28
 
6.0%
28
 
6.0%
28
 
6.0%
28
 
6.0%
28
 
6.0%
26
 
5.6%
23
 
4.9%
Other values (53) 159
34.0%
Common
ValueCountFrequency (%)
* 160
49.2%
141
43.4%
- 22
 
6.8%
( 1
 
0.3%
) 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 468
59.0%
ASCII 325
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 160
49.2%
141
43.4%
- 22
 
6.8%
( 1
 
0.3%
) 1
 
0.3%
Hangul
ValueCountFrequency (%)
60
 
12.8%
31
 
6.6%
29
 
6.2%
28
 
6.0%
28
 
6.0%
28
 
6.0%
28
 
6.0%
28
 
6.0%
26
 
5.6%
23
 
4.9%
Other values (53) 159
34.0%

도로명주소
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-04-30T04:06:26.603323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length40
Mean length34.766667
Min length24

Characters and Unicode

Total characters1043
Distinct characters84
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row서울특별시 강동구 구천면로 *** (천호동)
2nd row서울특별시 강동구 고덕로 ** (암사동,포커스빌딩 ***)
3rd row서울특별시 강동구 구천면로 *** (천호동,동아코아빌딩 ***호)
4th row서울특별시 강동구 강동대로 *** (성내동,성내빌딩 *층)
5th row서울특별시 강동구 올림픽로 *** (천호동,민호빌딩*층)
ValueCountFrequency (%)
31
16.8%
서울특별시 30
16.2%
강동구 30
16.2%
13
 
7.0%
10
 
5.4%
천호동 5
 
2.7%
올림픽로 5
 
2.7%
성내동 5
 
2.7%
구천면로 4
 
2.2%
올림픽로**길 2
 
1.1%
Other values (41) 50
27.0%
2024-04-30T04:06:26.929760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 182
17.4%
171
16.4%
68
 
6.5%
37
 
3.5%
35
 
3.4%
, 34
 
3.3%
) 31
 
3.0%
( 31
 
3.0%
31
 
3.0%
30
 
2.9%
Other values (74) 393
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 592
56.8%
Other Punctuation 216
 
20.7%
Space Separator 171
 
16.4%
Close Punctuation 31
 
3.0%
Open Punctuation 31
 
3.0%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
68
 
11.5%
37
 
6.2%
35
 
5.9%
31
 
5.2%
30
 
5.1%
30
 
5.1%
30
 
5.1%
30
 
5.1%
30
 
5.1%
29
 
4.9%
Other values (68) 242
40.9%
Other Punctuation
ValueCountFrequency (%)
* 182
84.3%
, 34
 
15.7%
Space Separator
ValueCountFrequency (%)
171
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 592
56.8%
Common 451
43.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
68
 
11.5%
37
 
6.2%
35
 
5.9%
31
 
5.2%
30
 
5.1%
30
 
5.1%
30
 
5.1%
30
 
5.1%
30
 
5.1%
29
 
4.9%
Other values (68) 242
40.9%
Common
ValueCountFrequency (%)
* 182
40.4%
171
37.9%
, 34
 
7.5%
) 31
 
6.9%
( 31
 
6.9%
- 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 592
56.8%
ASCII 451
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 182
40.4%
171
37.9%
, 34
 
7.5%
) 31
 
6.9%
( 31
 
6.9%
- 2
 
0.4%
Hangul
ValueCountFrequency (%)
68
 
11.5%
37
 
6.2%
35
 
5.9%
31
 
5.2%
30
 
5.1%
30
 
5.1%
30
 
5.1%
30
 
5.1%
30
 
5.1%
29
 
4.9%
Other values (68) 242
40.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)85.7%
Missing16
Missing (%)53.3%
Infinite0
Infinite (%)0.0%
Mean14574.214
Minimum5201
Maximum134857
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-30T04:06:27.034780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5201
5-th percentile5212.05
Q15266.75
median5355
Q35373
95-th percentile50714.5
Maximum134857
Range129656
Interquartile range (IQR)106.25

Descriptive statistics

Standard deviation34619.833
Coefficient of variation (CV)2.3754168
Kurtosis13.999867
Mean14574.214
Median Absolute Deviation (MAD)31
Skewness3.7416326
Sum204039
Variance1.1985328 × 109
MonotonicityNot monotonic
2024-04-30T04:06:27.131624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
5372 2
 
6.7%
5373 2
 
6.7%
5385 1
 
3.3%
134857 1
 
3.3%
5338 1
 
3.3%
5323 1
 
3.3%
5248 1
 
3.3%
5407 1
 
3.3%
5218 1
 
3.3%
5201 1
 
3.3%
Other values (2) 2
 
6.7%
(Missing) 16
53.3%
ValueCountFrequency (%)
5201 1
3.3%
5218 1
3.3%
5242 1
3.3%
5248 1
3.3%
5323 1
3.3%
5330 1
3.3%
5338 1
3.3%
5372 2
6.7%
5373 2
6.7%
5385 1
3.3%
ValueCountFrequency (%)
134857 1
3.3%
5407 1
3.3%
5385 1
3.3%
5373 2
6.7%
5372 2
6.7%
5338 1
3.3%
5330 1
3.3%
5323 1
3.3%
5248 1
3.3%
5242 1
3.3%

사업장명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-04-30T04:06:27.320358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length14
Mean length9.6
Min length3

Characters and Unicode

Total characters288
Distinct characters111
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st rowTLS
2nd rowFOCUS TRADING INTERNAT
3rd row(주)사이버리아
4th row(주)진인소프트
5th row(주)산명엔터테인먼트
ValueCountFrequency (%)
주식회사 4
 
9.5%
소프트 2
 
4.8%
tls 1
 
2.4%
주)이앰씨디자인 1
 
2.4%
games 1
 
2.4%
entertainment 1
 
2.4%
dge 1
 
2.4%
티아츠코리아 1
 
2.4%
미디어락시스템(주 1
 
2.4%
와이에스엠(주 1
 
2.4%
Other values (28) 28
66.7%
2024-04-30T04:06:27.610804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16
 
5.6%
) 14
 
4.9%
( 14
 
4.9%
13
 
4.5%
12
 
4.2%
10
 
3.5%
7
 
2.4%
7
 
2.4%
7
 
2.4%
6
 
2.1%
Other values (101) 182
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 187
64.9%
Uppercase Letter 38
 
13.2%
Lowercase Letter 20
 
6.9%
Close Punctuation 14
 
4.9%
Open Punctuation 14
 
4.9%
Space Separator 12
 
4.2%
Decimal Number 3
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
16
 
8.6%
13
 
7.0%
10
 
5.3%
7
 
3.7%
7
 
3.7%
7
 
3.7%
6
 
3.2%
6
 
3.2%
5
 
2.7%
5
 
2.7%
Other values (70) 105
56.1%
Uppercase Letter
ValueCountFrequency (%)
T 4
 
10.5%
E 4
 
10.5%
S 3
 
7.9%
G 3
 
7.9%
N 3
 
7.9%
D 3
 
7.9%
L 2
 
5.3%
R 2
 
5.3%
J 2
 
5.3%
A 2
 
5.3%
Other values (7) 10
26.3%
Lowercase Letter
ValueCountFrequency (%)
e 4
20.0%
a 3
15.0%
m 3
15.0%
n 3
15.0%
t 3
15.0%
r 2
10.0%
i 1
 
5.0%
s 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
2 1
33.3%
1 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 187
64.9%
Latin 58
 
20.1%
Common 43
 
14.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
16
 
8.6%
13
 
7.0%
10
 
5.3%
7
 
3.7%
7
 
3.7%
7
 
3.7%
6
 
3.2%
6
 
3.2%
5
 
2.7%
5
 
2.7%
Other values (70) 105
56.1%
Latin
ValueCountFrequency (%)
T 4
 
6.9%
E 4
 
6.9%
e 4
 
6.9%
a 3
 
5.2%
m 3
 
5.2%
n 3
 
5.2%
t 3
 
5.2%
S 3
 
5.2%
G 3
 
5.2%
N 3
 
5.2%
Other values (15) 25
43.1%
Common
ValueCountFrequency (%)
) 14
32.6%
( 14
32.6%
12
27.9%
3 1
 
2.3%
2 1
 
2.3%
1 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 187
64.9%
ASCII 101
35.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
16
 
8.6%
13
 
7.0%
10
 
5.3%
7
 
3.7%
7
 
3.7%
7
 
3.7%
6
 
3.2%
6
 
3.2%
5
 
2.7%
5
 
2.7%
Other values (70) 105
56.1%
ASCII
ValueCountFrequency (%)
) 14
 
13.9%
( 14
 
13.9%
12
 
11.9%
T 4
 
4.0%
E 4
 
4.0%
e 4
 
4.0%
a 3
 
3.0%
m 3
 
3.0%
n 3
 
3.0%
t 3
 
3.0%
Other values (21) 37
36.6%

최종수정일자
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2006-05-09 17:30:11
Maximum2023-11-07 16:53:05
2024-04-30T04:06:27.722985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:06:27.830209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
I
26 
U

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 26
86.7%
U 4
 
13.3%

Length

2024-04-30T04:06:27.938505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:06:28.019933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 26
86.7%
u 4
 
13.3%
Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2018-08-31 23:59:59.0
21 
2020-02-07 02:40:00.0
 
1
2020-05-16 02:40:00.0
 
1
2019-06-21 02:40:00.0
 
1
2022-11-01 00:09:00.0
 
1
Other values (5)

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique9 ?
Unique (%)30.0%

Sample

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

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 21
70.0%
2020-02-07 02:40:00.0 1
 
3.3%
2020-05-16 02:40:00.0 1
 
3.3%
2019-06-21 02:40:00.0 1
 
3.3%
2022-11-01 00:09:00.0 1
 
3.3%
2018-10-19 02:36:02.0 1
 
3.3%
2020-08-12 00:23:31.0 1
 
3.3%
2020-10-31 00:23:09.0 1
 
3.3%
2021-04-02 00:22:59.0 1
 
3.3%
2022-12-02 22:03:00.0 1
 
3.3%

Length

2024-04-30T04:06:28.106932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:06:28.240076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 21
35.0%
23:59:59.0 21
35.0%
02:40:00.0 3
 
5.0%
2020-08-12 1
 
1.7%
2022-12-02 1
 
1.7%
00:22:59.0 1
 
1.7%
2021-04-02 1
 
1.7%
00:23:09.0 1
 
1.7%
2020-10-31 1
 
1.7%
00:23:31.0 1
 
1.7%
Other values (8) 8
 
13.3%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

좌표정보(X)
Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean211670
Minimum210670.95
Maximum215235.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-30T04:06:28.350123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210670.95
5-th percentile210737.31
Q1211055.49
median211340.86
Q3211904.67
95-th percentile214037.86
Maximum215235.91
Range4564.9587
Interquartile range (IQR)849.18361

Descriptive statistics

Standard deviation1082.6027
Coefficient of variation (CV)0.0051145778
Kurtosis6.334257
Mean211670
Median Absolute Deviation (MAD)395.51714
Skewness2.4298343
Sum6350100.1
Variance1172028.6
MonotonicityNot monotonic
2024-04-30T04:06:28.453023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
211055.486155787 2
 
6.7%
212214.00965854 2
 
6.7%
211343.1843468 1
 
3.3%
210750.209556247 1
 
3.3%
211627.267584204 1
 
3.3%
211037.277005702 1
 
3.3%
215144.766442481 1
 
3.3%
211966.759282034 1
 
3.3%
211910.466972617 1
 
3.3%
215235.910911 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
210670.952245602 1
3.3%
210726.755874418 1
3.3%
210750.209556247 1
3.3%
210820.576958193 1
3.3%
210830.134427385 1
3.3%
211016.744214785 1
3.3%
211037.277005702 1
3.3%
211055.486155787 2
6.7%
211092.685322461 1
3.3%
211232.482867148 1
3.3%
ValueCountFrequency (%)
215235.910911 1
3.3%
215144.766442481 1
3.3%
212684.984662576 1
3.3%
212214.00965854 2
6.7%
212172.828537488 1
3.3%
211966.759282034 1
3.3%
211910.466972617 1
3.3%
211887.278139278 1
3.3%
211791.891201411 1
3.3%
211680.853759912 1
3.3%

좌표정보(Y)
Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean448627.09
Minimum446866.14
Maximum452305.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-30T04:06:28.554928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446866.14
5-th percentile447001.34
Q1447622.1
median448559.77
Q3449013.08
95-th percentile450916.26
Maximum452305.72
Range5439.5868
Interquartile range (IQR)1390.9811

Descriptive statistics

Standard deviation1271.1682
Coefficient of variation (CV)0.0028334628
Kurtosis1.4370122
Mean448627.09
Median Absolute Deviation (MAD)799.1108
Skewness1.0722597
Sum13458813
Variance1615868.5
MonotonicityNot monotonic
2024-04-30T04:06:28.660457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
448786.697371515 2
 
6.7%
447485.256687319 2
 
6.7%
448752.285884693 1
 
3.3%
448078.828745215 1
 
3.3%
448941.784666918 1
 
3.3%
449743.920049981 1
 
3.3%
452305.723682264 1
 
3.3%
448015.084774496 1
 
3.3%
447983.985795527 1
 
3.3%
451415.098861 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
446866.136845151 1
3.3%
446899.812821946 1
3.3%
447125.42728615 1
3.3%
447381.53172133 1
3.3%
447428.794609384 1
3.3%
447485.256687319 2
6.7%
447595.247869709 1
3.3%
447702.664835505 1
3.3%
447983.985795527 1
3.3%
448015.084774496 1
3.3%
ValueCountFrequency (%)
452305.723682264 1
3.3%
451415.098861 1
3.3%
450306.570278603 1
3.3%
450163.935830643 1
3.3%
449743.920049981 1
3.3%
449681.161038507 1
3.3%
449300.886441359 1
3.3%
449029.359542861 1
3.3%
448964.25418159 1
3.3%
448941.784666918 1
3.3%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
게임물배급업
28 
<NA>
 
2

Length

Max length6
Median length6
Mean length5.8666667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물배급업 28
93.3%
<NA> 2
 
6.7%

Length

2024-04-30T04:06:28.785988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:06:28.887130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물배급업 28
93.3%
na 2
 
6.7%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
유통관련업
28 
<NA>
 
2

Length

Max length5
Median length5
Mean length4.9333333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 28
93.3%
<NA> 2
 
6.7%

Length

2024-04-30T04:06:28.987609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:06:29.267920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 28
93.3%
na 2
 
6.7%

총층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B
Distinct16
Distinct (%)76.2%
Missing9
Missing (%)30.0%
Memory size372.0 B
2024-04-30T04:06:29.390981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length9
Mean length7.1428571
Min length2

Characters and Unicode

Total characters150
Distinct characters43
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)61.9%

Sample

1st row게임물
2nd row게임물
3rd row온라인게임물
4th row온라인 PC게임
5th row게임물,헌터스
ValueCountFrequency (%)
게임 5
16.7%
게임물 4
 
13.3%
아케이드게임물 2
 
6.7%
온라인 2
 
6.7%
청소년 1
 
3.3%
안드로이드게임 1
 
3.3%
게임물,게임배급 1
 
3.3%
배급업 1
 
3.3%
제작 1
 
3.3%
소프트웨어 1
 
3.3%
Other values (11) 11
36.7%
2024-04-30T04:06:29.652315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
14.7%
22
14.7%
10
 
6.7%
9
 
6.0%
7
 
4.7%
6
 
4.0%
, 6
 
4.0%
5
 
3.3%
5
 
3.3%
4
 
2.7%
Other values (33) 54
36.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 127
84.7%
Space Separator 9
 
6.0%
Other Punctuation 6
 
4.0%
Uppercase Letter 4
 
2.7%
Close Punctuation 2
 
1.3%
Open Punctuation 2
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
22
17.3%
22
17.3%
10
 
7.9%
7
 
5.5%
6
 
4.7%
5
 
3.9%
5
 
3.9%
4
 
3.1%
4
 
3.1%
4
 
3.1%
Other values (27) 38
29.9%
Uppercase Letter
ValueCountFrequency (%)
P 2
50.0%
C 2
50.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 127
84.7%
Common 19
 
12.7%
Latin 4
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
22
17.3%
22
17.3%
10
 
7.9%
7
 
5.5%
6
 
4.7%
5
 
3.9%
5
 
3.9%
4
 
3.1%
4
 
3.1%
4
 
3.1%
Other values (27) 38
29.9%
Common
ValueCountFrequency (%)
9
47.4%
, 6
31.6%
) 2
 
10.5%
( 2
 
10.5%
Latin
ValueCountFrequency (%)
P 2
50.0%
C 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 127
84.7%
ASCII 23
 
15.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
22
17.3%
22
17.3%
10
 
7.9%
7
 
5.5%
6
 
4.7%
5
 
3.9%
5
 
3.9%
4
 
3.1%
4
 
3.1%
4
 
3.1%
Other values (27) 38
29.9%
ASCII
ValueCountFrequency (%)
9
39.1%
, 6
26.1%
) 2
 
8.7%
( 2
 
8.7%
P 2
 
8.7%
C 2
 
8.7%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)94.4%
Missing12
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean92.775556
Minimum0
Maximum364.08
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-30T04:06:29.771202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.85
Q123.125
median52.13
Q3105.525
95-th percentile273.912
Maximum364.08
Range364.08
Interquartile range (IQR)82.4

Descriptive statistics

Standard deviation101.04531
Coefficient of variation (CV)1.0891372
Kurtosis1.8394349
Mean92.775556
Median Absolute Deviation (MAD)30.98
Skewness1.5538602
Sum1669.96
Variance10210.155
MonotonicityNot monotonic
2024-04-30T04:06:29.867856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
208.31 2
 
6.7%
86.1 1
 
3.3%
23.1 1
 
3.3%
46.2 1
 
3.3%
45.0 1
 
3.3%
23.2 1
 
3.3%
19.8 1
 
3.3%
258.0 1
 
3.3%
1.0 1
 
3.3%
54.44 1
 
3.3%
Other values (7) 7
23.3%
(Missing) 12
40.0%
ValueCountFrequency (%)
0.0 1
3.3%
1.0 1
3.3%
19.8 1
3.3%
22.5 1
3.3%
23.1 1
3.3%
23.2 1
3.3%
45.0 1
3.3%
46.2 1
3.3%
49.82 1
3.3%
54.44 1
3.3%
ValueCountFrequency (%)
364.08 1
3.3%
258.0 1
3.3%
208.31 2
6.7%
112.0 1
3.3%
86.1 1
3.3%
81.1 1
3.3%
67.0 1
3.3%
54.44 1
3.3%
49.82 1
3.3%
46.2 1
3.3%

지상층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
29 
1
 
1

Length

Max length4
Median length4
Mean length3.9
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
96.7%
1 1
 
3.3%

Length

2024-04-30T04:06:29.975849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:06:30.053904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
96.7%
1 1
 
3.3%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03240000CDFF224112200000000120000525<NA>1영업/정상13영업중<NA><NA><NA><NA>476-1691<NA>134870서울특별시 강동구 천호동 ***-*번지서울특별시 강동구 구천면로 *** (천호동)<NA>TLS2006-05-09 17:30:11I2018-08-31 23:59:59.0<NA>211343.184347448752.285885게임물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13240000CDFF224112200000000220000527<NA>3폐업3폐업20090730<NA><NA><NA>3426-9754<NA><NA>서울특별시 강동구 암사동 ***-*번지 포커스빌딩 ***서울특별시 강동구 고덕로 ** (암사동,포커스빌딩 ***)<NA>FOCUS TRADING INTERNAT2009-07-30 11:33:25I2018-08-31 23:59:59.0<NA>211232.482867450306.570279게임물배급업유통관련업<NA><NA>게임물0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23240000CDFF224112200100000120010714<NA>1영업/정상13영업중<NA><NA><NA><NA>598-0356<NA>134873서울특별시 강동구 천호동 ***번지 동아코아빌딩 ***호서울특별시 강동구 구천면로 *** (천호동,동아코아빌딩 ***호)<NA>(주)사이버리아2006-05-09 17:40:52I2018-08-31 23:59:59.0<NA>211055.486156448786.697372게임물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33240000CDFF224112200100000220010912<NA>1영업/정상13영업중<NA><NA><NA><NA>565-4292<NA>134885서울특별시 강동구 성내동 ***-*번지 성내빌딩 *층서울특별시 강동구 강동대로 *** (성내동,성내빌딩 *층)<NA>(주)진인소프트2006-05-09 17:45:17I2018-08-31 23:59:59.0<NA>211309.356542446899.812822게임물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43240000CDFF224112200200000120020110<NA>3폐업3폐업20090722<NA><NA><NA>488-8800<NA><NA>서울특별시 강동구 천호동 ***번지 민호빌딩*층서울특별시 강동구 올림픽로 *** (천호동,민호빌딩*층)<NA>(주)산명엔터테인먼트2009-07-22 18:27:44I2018-08-31 23:59:59.0<NA>211016.744215449029.359543게임물배급업유통관련업<NA><NA>게임물1.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53240000CDFF224112200200000220020316<NA>1영업/정상13영업중<NA><NA><NA><NA>488-8514<NA>134890서울특별시 강동구 성내동 ***-**번지서울특별시 강동구 강동대로**길 ** (성내동)<NA>에이치디디브이디엔터테인먼트주식회사2008-10-16 17:13:07I2018-08-31 23:59:59.0<NA>211680.85376447125.427286게임물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63240000CDFF224112200400000120041029<NA>1영업/정상13영업중<NA><NA><NA><NA>1544-2079<NA>134859서울특별시 강동구 암사동 ***-**번지 ***호서울특별시 강동구 올림픽로**길 ** (암사동,***호)<NA>게임넷2006-05-09 17:59:20I2018-08-31 23:59:59.0<NA>211401.329908449681.161039게임물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73240000CDFF224112200500000120050524<NA>1영업/정상13영업중<NA><NA><NA><NA>454-7034<NA>134870서울특별시 강동구 천호동 ***-*번지 금강빌딩 ***호서울특별시 강동구 구천면로 *** (천호동,금강빌딩 ***호)<NA>지엔엠엔터테인먼트2006-05-09 18:03:48I2018-08-31 23:59:59.0<NA>211264.747295448747.332958게임물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83240000CDFF224112200500000220050715<NA>3폐업3폐업20081125<NA><NA><NA>485-5130<NA>134873서울특별시 강동구 천호동 ***번지 동아코아빌딩 *층***호서울특별시 강동구 구천면로 *** (천호동,동아코아빌딩 *층***호)<NA>비바소프트2008-11-25 11:11:53I2018-08-31 23:59:59.0<NA>211055.486156448786.697372게임물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93240000CDFF224112200700000120070307<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>134851서울특별시 강동구 성내동 ***-*번지 삼원타워 *층서울특별시 강동구 성내로*길 ** (성내동,삼원타워 *층)<NA>주식회사 렛츠게임2007-03-07 11:44:04I2018-08-31 23:59:59.0<NA>210820.576958447428.794609게임물배급업유통관련업<NA><NA>온라인게임물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
203240000CDFF224112201500000120151208<NA>1영업/정상13영업중<NA><NA><NA><NA>070-3766-3124<NA><NA>서울특별시 강동구 천호동 ***-**번지서울특별시 강동구 올림픽로 ***, *층 ***호 (천호동)5323와이에스엠(주)2015-12-08 14:06:30I2018-08-31 23:59:59.0<NA>211092.685322449300.886441게임물배급업유통관련업<NA><NA>게임소프트웨어54.44<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
213240000CDFF224112201600000120040611<NA>1영업/정상13영업중<NA><NA><NA><NA>02-568-5188<NA><NA>서울특별시 강동구 천호동 ***-*번지 예경빌딩서울특별시 강동구 올림픽로 ***, 예경빌딩 *층 ***호 (천호동)5248넥스텝미디어(주)2020-05-14 15:19:11U2020-05-16 02:40:00.0<NA>210830.134427448618.990765게임물배급업유통관련업<NA><NA>게임물67.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
223240000CDFF224112201700000120170720<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2225-5679<NA><NA><NA>서울특별시 강동구 강동대로 ***, *층 (성내동)5407(주)이노브릿지2017-07-20 09:48:55I2018-08-31 23:59:59.0<NA>211368.226711446866.136845게임물배급업유통관련업<NA><NA>게임22.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
233240000CDFF224112201700000220170131<NA>3폐업3폐업20190619<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 상일로 ***, ***동 ***호 (강일동, 고덕리엔파크*단지아파트)5218(주)아이디얼게임즈2019-06-19 13:38:54U2019-06-21 02:40:00.0<NA>215235.910911451415.098861게임물배급업유통관련업<NA><NA>게임물(모바일,PC,콘솔,아케이드)81.1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
243240000CDFF22411220180000012018-08-06<NA>3폐업3폐업2023-11-07<NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 ***-** 헤라하우스서울특별시 강동구 천호대로***길 **-**, ***호 (성내동, 헤라하우스)5373앗싸소프트2023-11-07 16:53:05U2022-11-01 00:09:00.0<NA>211910.466973447983.985796<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
253240000CDFF224112201800000220181017<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 둔촌동 ***-*번지 영서빌딩서울특별시 강동구 양재대로**길 **, 영서빌딩 *층 (둔촌동)5372에이치제이이앤텍(주)2018-10-17 13:50:26I2018-10-19 02:36:02.0<NA>212214.009659447485.256687게임물배급업유통관련업<NA><NA>청소년 아케이드 게임 및 소프트웨어 제작, 배급업208.31<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
263240000CDFF224112202000000120200810<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 ***-*서울특별시 강동구 천호대로 ****, *층 ****호 (성내동)5373주식회사 123스포츠2020-08-10 15:25:45I2020-08-12 00:23:31.0<NA>211966.759282448015.084774게임물배급업유통관련업<NA><NA>게임물,게임배급364.08<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
273240000CDFF224112202000000320201029<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 강일동 *** 강동리버스트*단지 ***동 ****호서울특별시 강동구 아리수로**가길 ***, ***동 ****호 (강일동, 강동리버스트*단지)5201블루조이(BLUE JOY)2020-10-29 10:03:48I2020-10-31 00:23:09.0<NA>215144.766442452305.723682게임물배급업유통관련업<NA><NA>모바일게임49.82<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
283240000CDFF224112202100000120210331<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 암사동 ***-**서울특별시 강동구 올림픽로**길 **-*, ***호 (암사동)5242하나소프트2021-03-31 13:36:20I2021-04-02 00:22:59.0<NA>211037.277006449743.92005게임물배급업유통관련업<NA><NA>게임112.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
293240000CDFF22411220230000012023-03-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 ***-*서울특별시 강동구 구천면로**길 **, *층 (천호동)5330앨리스2023-03-21 09:34:36I2022-12-02 22:03:00.0<NA>211627.267584448941.784667<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>