Overview

Dataset statistics

Number of variables56
Number of observations65
Missing cells1758
Missing cells (%)48.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.0 KiB
Average record size in memory489.0 B

Variable types

Categorical18
Text7
DateTime4
Unsupported23
Numeric4

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
Author서대문구
URLhttps://data.seoul.go.kr/dataList/OA-17864/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
지역구분명 has constant value ""Constant
영업상태코드 is highly imbalanced (56.4%)Imbalance
영업상태명 is highly imbalanced (56.4%)Imbalance
상세영업상태코드 is highly imbalanced (56.4%)Imbalance
상세영업상태명 is highly imbalanced (56.4%)Imbalance
데이터갱신구분 is highly imbalanced (60.9%)Imbalance
문화체육업종명 is highly imbalanced (55.6%)Imbalance
문화사업자구분명 is highly imbalanced (55.6%)Imbalance
총층수 is highly imbalanced (71.8%)Imbalance
시설면적 is highly imbalanced (71.1%)Imbalance
지상층수 is highly imbalanced (71.8%)Imbalance
지하층수 is highly imbalanced (66.6%)Imbalance
건물용도명 is highly imbalanced (71.8%)Imbalance
통로너비 is highly imbalanced (73.0%)Imbalance
조명시설조도 is highly imbalanced (73.0%)Imbalance
노래방실수 is highly imbalanced (73.0%)Imbalance
청소년실수 is highly imbalanced (73.0%)Imbalance
총게임기수 is highly imbalanced (73.0%)Imbalance
인허가취소일자 has 65 (100.0%) missing valuesMissing
폐업일자 has 55 (84.6%) missing valuesMissing
휴업시작일자 has 65 (100.0%) missing valuesMissing
휴업종료일자 has 65 (100.0%) missing valuesMissing
재개업일자 has 65 (100.0%) missing valuesMissing
전화번호 has 21 (32.3%) missing valuesMissing
소재지면적 has 65 (100.0%) missing valuesMissing
소재지우편번호 has 20 (30.8%) missing valuesMissing
도로명주소 has 3 (4.6%) missing valuesMissing
도로명우편번호 has 28 (43.1%) missing valuesMissing
업태구분명 has 65 (100.0%) missing valuesMissing
좌표정보(X) has 4 (6.2%) missing valuesMissing
좌표정보(Y) has 4 (6.2%) missing valuesMissing
주변환경명 has 64 (98.5%) missing valuesMissing
제작취급품목내용 has 65 (100.0%) missing valuesMissing
비상계단여부 has 65 (100.0%) missing valuesMissing
비상구여부 has 65 (100.0%) missing valuesMissing
자동환기여부 has 65 (100.0%) missing valuesMissing
청소년실여부 has 65 (100.0%) missing valuesMissing
특수조명여부 has 65 (100.0%) missing valuesMissing
방음시설여부 has 65 (100.0%) missing valuesMissing
비디오재생기명 has 65 (100.0%) missing valuesMissing
조명시설유무 has 65 (100.0%) missing valuesMissing
음향시설여부 has 65 (100.0%) missing valuesMissing
편의시설여부 has 65 (100.0%) missing valuesMissing
소방시설여부 has 65 (100.0%) missing valuesMissing
기존게임업외업종명 has 65 (100.0%) missing valuesMissing
제공게임물명 has 65 (100.0%) missing valuesMissing
공연장형태구분명 has 65 (100.0%) missing valuesMissing
품목명 has 65 (100.0%) missing valuesMissing
최초등록시점 has 65 (100.0%) missing valuesMissing
지역구분명 has 64 (98.5%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 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
제작취급품목내용 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

Reproduction

Analysis started2024-05-11 05:16:49.403659
Analysis finished2024-05-11 05:16:51.063362
Duration1.66 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
3120000
65 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3120000
2nd row3120000
3rd row3120000
4th row3120000
5th row3120000

Common Values

ValueCountFrequency (%)
3120000 65
100.0%

Length

2024-05-11T05:16:51.438870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:16:51.911212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3120000 65
100.0%

관리번호
Text

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
2024-05-11T05:16:52.648584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1300
Distinct characters14
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

Unique65 ?
Unique (%)100.0%

Sample

1st rowCDFG1252001963000001
2nd rowCDFG1252001964000001
3rd rowCDFG1252001970000001
4th rowCDFG1252001971000001
5th rowCDFG1252001979000001
ValueCountFrequency (%)
cdfg1252001963000001 1
 
1.5%
cdfg1252002012000001 1
 
1.5%
cdfg1252002012000003 1
 
1.5%
cdfg1252002012000004 1
 
1.5%
cdfg1252002013000001 1
 
1.5%
cdfg1252002013000002 1
 
1.5%
cdfg1252002013000003 1
 
1.5%
cdfg1252002014000002 1
 
1.5%
cdfg1252002014000003 1
 
1.5%
cdfg1252002014000004 1
 
1.5%
Other values (55) 55
84.6%
2024-05-11T05:16:53.980031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 523
40.2%
2 214
16.5%
1 150
 
11.5%
5 74
 
5.7%
C 65
 
5.0%
D 65
 
5.0%
F 65
 
5.0%
G 65
 
5.0%
9 28
 
2.2%
3 19
 
1.5%
Other values (4) 32
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1040
80.0%
Uppercase Letter 260
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 523
50.3%
2 214
20.6%
1 150
 
14.4%
5 74
 
7.1%
9 28
 
2.7%
3 19
 
1.8%
4 13
 
1.2%
7 9
 
0.9%
6 6
 
0.6%
8 4
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
C 65
25.0%
D 65
25.0%
F 65
25.0%
G 65
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1040
80.0%
Latin 260
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 523
50.3%
2 214
20.6%
1 150
 
14.4%
5 74
 
7.1%
9 28
 
2.7%
3 19
 
1.8%
4 13
 
1.2%
7 9
 
0.9%
6 6
 
0.6%
8 4
 
0.4%
Latin
ValueCountFrequency (%)
C 65
25.0%
D 65
25.0%
F 65
25.0%
G 65
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 523
40.2%
2 214
16.5%
1 150
 
11.5%
5 74
 
5.7%
C 65
 
5.0%
D 65
 
5.0%
F 65
 
5.0%
G 65
 
5.0%
9 28
 
2.2%
3 19
 
1.5%
Other values (4) 32
 
2.5%

인허가일자
Date

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum1963-02-28 00:00:00
Maximum2023-07-07 00:00:00
2024-05-11T05:16:54.409315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:16:54.892887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
1
55 
3
9 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
1 55
84.6%
3 9
 
13.8%
4 1
 
1.5%

Length

2024-05-11T05:16:55.370043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:16:55.703707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 55
84.6%
3 9
 
13.8%
4 1
 
1.5%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
영업/정상
55 
폐업
9 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.7230769
Min length2

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 55
84.6%
폐업 9
 
13.8%
취소/말소/만료/정지/중지 1
 
1.5%

Length

2024-05-11T05:16:56.129056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:16:56.626677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 55
84.6%
폐업 9
 
13.8%
취소/말소/만료/정지/중지 1
 
1.5%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
13
55 
3
9 
35
 
1

Length

Max length2
Median length2
Mean length1.8615385
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
13 55
84.6%
3 9
 
13.8%
35 1
 
1.5%

Length

2024-05-11T05:16:57.076117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:16:57.567664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 55
84.6%
3 9
 
13.8%
35 1
 
1.5%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
영업중
55 
폐업
9 
직권말소
 
1

Length

Max length4
Median length3
Mean length2.8769231
Min length2

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 55
84.6%
폐업 9
 
13.8%
직권말소 1
 
1.5%

Length

2024-05-11T05:16:58.008857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:16:58.460458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 55
84.6%
폐업 9
 
13.8%
직권말소 1
 
1.5%

폐업일자
Date

MISSING 

Distinct10
Distinct (%)100.0%
Missing55
Missing (%)84.6%
Memory size652.0 B
Minimum2000-07-24 00:00:00
Maximum2023-12-06 00:00:00
2024-05-11T05:16:58.735311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:16:59.164040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

전화번호
Text

MISSING 

Distinct43
Distinct (%)97.7%
Missing21
Missing (%)32.3%
Memory size652.0 B
2024-05-11T05:16:59.815850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.5681818
Min length7

Characters and Unicode

Total characters421
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

Unique42 ?
Unique (%)95.5%

Sample

1st row363-7189
2nd row3639-3812
3rd row738-7807
4th row395-4822
5th row312-2011
ValueCountFrequency (%)
02-3141-3648 2
 
4.5%
351-3143 1
 
2.3%
363-7189 1
 
2.3%
364-5457 1
 
2.3%
02-307-5679 1
 
2.3%
3667-6745 1
 
2.3%
02-313-2508 1
 
2.3%
2123-4039 1
 
2.3%
02-391-0606 1
 
2.3%
02-334-0305 1
 
2.3%
Other values (33) 33
75.0%
2024-05-11T05:17:01.203093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 60
14.3%
3 59
14.0%
0 58
13.8%
2 47
11.2%
1 35
8.3%
6 33
7.8%
7 32
7.6%
4 28
6.7%
8 26
6.2%
5 24
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 361
85.7%
Dash Punctuation 60
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 59
16.3%
0 58
16.1%
2 47
13.0%
1 35
9.7%
6 33
9.1%
7 32
8.9%
4 28
7.8%
8 26
7.2%
5 24
6.6%
9 19
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 421
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 60
14.3%
3 59
14.0%
0 58
13.8%
2 47
11.2%
1 35
8.3%
6 33
7.8%
7 32
7.6%
4 28
6.7%
8 26
6.2%
5 24
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 421
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 60
14.3%
3 59
14.0%
0 58
13.8%
2 47
11.2%
1 35
8.3%
6 33
7.8%
7 32
7.6%
4 28
6.7%
8 26
6.2%
5 24
 
5.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)64.4%
Missing20
Missing (%)30.8%
Infinite0
Infinite (%)0.0%
Mean120499.27
Minimum120012
Maximum120865
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-11T05:17:01.721742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum120012
5-th percentile120012
Q1120030
median120806
Q3120835
95-th percentile120863
Maximum120865
Range853
Interquartile range (IQR)805

Descriptive statistics

Standard deviation390.9048
Coefficient of variation (CV)0.003244043
Kurtosis-1.9287416
Mean120499.27
Median Absolute Deviation (MAD)57
Skewness-0.33512872
Sum5422467
Variance152806.56
MonotonicityNot monotonic
2024-05-11T05:17:02.188632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
120020 5
 
7.7%
120012 4
 
6.2%
120863 3
 
4.6%
120050 2
 
3.1%
120822 2
 
3.1%
120030 2
 
3.1%
120835 2
 
3.1%
120833 2
 
3.1%
120865 2
 
3.1%
120749 2
 
3.1%
Other values (19) 19
29.2%
(Missing) 20
30.8%
ValueCountFrequency (%)
120012 4
6.2%
120013 1
 
1.5%
120020 5
7.7%
120030 2
 
3.1%
120040 1
 
1.5%
120050 2
 
3.1%
120110 1
 
1.5%
120120 1
 
1.5%
120170 1
 
1.5%
120190 1
 
1.5%
ValueCountFrequency (%)
120865 2
3.1%
120863 3
4.6%
120861 1
 
1.5%
120857 1
 
1.5%
120850 1
 
1.5%
120844 1
 
1.5%
120838 1
 
1.5%
120836 1
 
1.5%
120835 2
3.1%
120833 2
3.1%

지번주소
Text

Distinct48
Distinct (%)73.8%
Missing0
Missing (%)0.0%
Memory size652.0 B
2024-05-11T05:17:02.796116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length35
Mean length25.661538
Min length20

Characters and Unicode

Total characters1668
Distinct characters72
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)60.0%

Sample

1st row서울특별시 서대문구 천연동 **번지
2nd row서울특별시 서대문구 북아현동 ***-**번지
3rd row서울특별시 서대문구 냉천동 ***-*번지
4th row서울특별시 서대문구 미근동 **-*번지 미근빌딩 *층
5th row서울특별시 서대문구 홍제동 ***-**번지
ValueCountFrequency (%)
서울특별시 65
22.0%
서대문구 65
22.0%
번지 54
18.3%
11
 
3.7%
충정로*가 11
 
3.7%
연희동 9
 
3.1%
홍제동 8
 
2.7%
북아현동 7
 
2.4%
층 6
 
2.0%
홍은동 5
 
1.7%
Other values (27) 54
18.3%
2024-05-11T05:17:04.181907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 296
17.7%
287
17.2%
서 132
 
7.9%
대 74
 
4.4%
시 66
 
4.0%
문 66
 
4.0%
구 66
 
4.0%
특 65
 
3.9%
별 65
 
3.9%
울 65
 
3.9%
Other values (62) 486
29.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1029
61.7%
Other Punctuation 296
 
17.7%
Space Separator 287
 
17.2%
Dash Punctuation 55
 
3.3%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 132
12.8%
대 74
 
7.2%
시 66
 
6.4%
문 66
 
6.4%
구 66
 
6.4%
특 65
 
6.3%
별 65
 
6.3%
울 65
 
6.3%
지 60
 
5.8%
동 55
 
5.3%
Other values (58) 315
30.6%
Other Punctuation
ValueCountFrequency (%)
* 296
100.0%
Space Separator
ValueCountFrequency (%)
287
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1029
61.7%
Common 638
38.2%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 132
12.8%
대 74
 
7.2%
시 66
 
6.4%
문 66
 
6.4%
구 66
 
6.4%
특 65
 
6.3%
별 65
 
6.3%
울 65
 
6.3%
지 60
 
5.8%
동 55
 
5.3%
Other values (58) 315
30.6%
Common
ValueCountFrequency (%)
* 296
46.4%
287
45.0%
- 55
 
8.6%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1029
61.7%
ASCII 639
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 296
46.3%
287
44.9%
- 55
 
8.6%
B 1
 
0.2%
Hangul
ValueCountFrequency (%)
서 132
12.8%
대 74
 
7.2%
시 66
 
6.4%
문 66
 
6.4%
구 66
 
6.4%
특 65
 
6.3%
별 65
 
6.3%
울 65
 
6.3%
지 60
 
5.8%
동 55
 
5.3%
Other values (58) 315
30.6%

도로명주소
Text

MISSING 

Distinct60
Distinct (%)96.8%
Missing3
Missing (%)4.6%
Memory size652.0 B
2024-05-11T05:17:04.815199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length39
Mean length31.016129
Min length23

Characters and Unicode

Total characters1923
Distinct characters97
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

Unique58 ?
Unique (%)93.5%

Sample

1st row서울특별시 서대문구 독립문로 ** (천연동)
2nd row서울특별시 서대문구 충정로*안길 ** (미근동,미근빌딩 *층)
3rd row서울특별시 서대문구 홍제내길 *** (홍제동)
4th row서울특별시 서대문구 신촌로**길 * (북아현동)
5th row서울특별시 서대문구 통일로*길 * (냉천동)
ValueCountFrequency (%)
63
17.6%
서울특별시 62
17.4%
서대문구 62
17.4%
호 13
 
3.6%
층 13
 
3.6%
연희동 9
 
2.5%
홍제동 8
 
2.2%
충정로*가 7
 
2.0%
충정로*안길 5
 
1.4%
북아현동 5
 
1.4%
Other values (68) 110
30.8%
2024-05-11T05:17:05.929569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
321
16.7%
* 263
 
13.7%
서 129
 
6.7%
대 77
 
4.0%
로 68
 
3.5%
문 67
 
3.5%
시 63
 
3.3%
) 62
 
3.2%
( 62
 
3.2%
구 62
 
3.2%
Other values (87) 749
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1159
60.3%
Space Separator 321
 
16.7%
Other Punctuation 304
 
15.8%
Close Punctuation 62
 
3.2%
Open Punctuation 62
 
3.2%
Dash Punctuation 14
 
0.7%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 129
 
11.1%
대 77
 
6.6%
로 68
 
5.9%
문 67
 
5.8%
시 63
 
5.4%
구 62
 
5.3%
울 62
 
5.3%
별 62
 
5.3%
특 62
 
5.3%
동 54
 
4.7%
Other values (80) 453
39.1%
Other Punctuation
ValueCountFrequency (%)
* 263
86.5%
, 41
 
13.5%
Space Separator
ValueCountFrequency (%)
321
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1159
60.3%
Common 763
39.7%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 129
 
11.1%
대 77
 
6.6%
로 68
 
5.9%
문 67
 
5.8%
시 63
 
5.4%
구 62
 
5.3%
울 62
 
5.3%
별 62
 
5.3%
특 62
 
5.3%
동 54
 
4.7%
Other values (80) 453
39.1%
Common
ValueCountFrequency (%)
321
42.1%
* 263
34.5%
) 62
 
8.1%
( 62
 
8.1%
, 41
 
5.4%
- 14
 
1.8%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1159
60.3%
ASCII 764
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
321
42.0%
* 263
34.4%
) 62
 
8.1%
( 62
 
8.1%
, 41
 
5.4%
- 14
 
1.8%
A 1
 
0.1%
Hangul
ValueCountFrequency (%)
서 129
 
11.1%
대 77
 
6.6%
로 68
 
5.9%
문 67
 
5.8%
시 63
 
5.4%
구 62
 
5.3%
울 62
 
5.3%
별 62
 
5.3%
특 62
 
5.3%
동 54
 
4.7%
Other values (80) 453
39.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)83.8%
Missing28
Missing (%)43.1%
Infinite0
Infinite (%)0.0%
Mean57393.568
Minimum3612
Maximum120865
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-11T05:17:06.392730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3612
5-th percentile3618.8
Q13707
median3780
Q3120749
95-th percentile120863
Maximum120865
Range117253
Interquartile range (IQR)117042

Descriptive statistics

Standard deviation59041.721
Coefficient of variation (CV)1.0287167
Kurtosis-2.0871154
Mean57393.568
Median Absolute Deviation (MAD)162
Skewness0.16970816
Sum2123562
Variance3.4859249 × 109
MonotonicityNot monotonic
2024-05-11T05:17:06.974345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
3736 2
 
3.1%
120863 2
 
3.1%
3780 2
 
3.1%
3707 2
 
3.1%
3708 2
 
3.1%
120833 2
 
3.1%
3618 1
 
1.5%
3664 1
 
1.5%
3619 1
 
1.5%
120190 1
 
1.5%
Other values (21) 21
32.3%
(Missing) 28
43.1%
ValueCountFrequency (%)
3612 1
1.5%
3618 1
1.5%
3619 1
1.5%
3640 1
1.5%
3658 1
1.5%
3664 1
1.5%
3682 1
1.5%
3703 1
1.5%
3707 2
3.1%
3708 2
3.1%
ValueCountFrequency (%)
120865 1
1.5%
120863 2
3.1%
120850 1
1.5%
120836 1
1.5%
120833 2
3.1%
120831 1
1.5%
120808 1
1.5%
120749 1
1.5%
120731 1
1.5%
120190 1
1.5%

사업장명
Text

Distinct64
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
2024-05-11T05:17:07.790709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length6
Min length2

Characters and Unicode

Total characters390
Distinct characters146
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

Unique63 ?
Unique (%)96.9%

Sample

1st row흥문기획
2nd row백광인쇄사
3rd row문화인쇄제본사
4th row(주) 서등
5th row신성옵셋
ValueCountFrequency (%)
주식회사 4
 
5.3%
백광인쇄사 2
 
2.6%
주 2
 
2.6%
협문사 2
 
2.6%
주)한국애니교육개발연구원 1
 
1.3%
비오스넷 1
 
1.3%
주)제2엔 1
 
1.3%
주)비오스컴 1
 
1.3%
주)시큐엠 1
 
1.3%
주)에스엠씨앤피 1
 
1.3%
Other values (60) 60
78.9%
2024-05-11T05:17:09.064862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 30
 
7.7%
주 20
 
5.1%
인 18
 
4.6%
( 17
 
4.4%
) 17
 
4.4%
11
 
2.8%
디 11
 
2.8%
쇄 10
 
2.6%
문 9
 
2.3%
자 8
 
2.1%
Other values (136) 239
61.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 321
82.3%
Lowercase Letter 22
 
5.6%
Open Punctuation 17
 
4.4%
Close Punctuation 17
 
4.4%
Space Separator 11
 
2.8%
Decimal Number 1
 
0.3%
Uppercase Letter 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 30
 
9.3%
주 20
 
6.2%
인 18
 
5.6%
디 11
 
3.4%
쇄 10
 
3.1%
문 9
 
2.8%
자 8
 
2.5%
이 8
 
2.5%
일 7
 
2.2%
한 5
 
1.6%
Other values (119) 195
60.7%
Lowercase Letter
ValueCountFrequency (%)
a 4
18.2%
y 3
13.6%
m 3
13.6%
e 2
9.1%
o 2
9.1%
d 2
9.1%
n 1
 
4.5%
p 1
 
4.5%
c 1
 
4.5%
i 1
 
4.5%
Other values (2) 2
9.1%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 321
82.3%
Common 46
 
11.8%
Latin 23
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 30
 
9.3%
주 20
 
6.2%
인 18
 
5.6%
디 11
 
3.4%
쇄 10
 
3.1%
문 9
 
2.8%
자 8
 
2.5%
이 8
 
2.5%
일 7
 
2.2%
한 5
 
1.6%
Other values (119) 195
60.7%
Latin
ValueCountFrequency (%)
a 4
17.4%
y 3
13.0%
m 3
13.0%
e 2
8.7%
o 2
8.7%
d 2
8.7%
D 1
 
4.3%
n 1
 
4.3%
p 1
 
4.3%
c 1
 
4.3%
Other values (3) 3
13.0%
Common
ValueCountFrequency (%)
( 17
37.0%
) 17
37.0%
11
23.9%
2 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 321
82.3%
ASCII 69
 
17.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 30
 
9.3%
주 20
 
6.2%
인 18
 
5.6%
디 11
 
3.4%
쇄 10
 
3.1%
문 9
 
2.8%
자 8
 
2.5%
이 8
 
2.5%
일 7
 
2.2%
한 5
 
1.6%
Other values (119) 195
60.7%
ASCII
ValueCountFrequency (%)
( 17
24.6%
) 17
24.6%
11
15.9%
a 4
 
5.8%
y 3
 
4.3%
m 3
 
4.3%
e 2
 
2.9%
o 2
 
2.9%
d 2
 
2.9%
2 1
 
1.4%
Other values (7) 7
10.1%

최종수정일자
Date

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum2003-02-07 11:07:55
Maximum2023-12-06 19:56:49
2024-05-11T05:17:09.483938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:17:09.900554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
I
60 
U
 
5

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 60
92.3%
U 5
 
7.7%

Length

2024-05-11T05:17:10.515259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:17:10.908328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 60
92.3%
u 5
 
7.7%

데이터갱신일자
Date

Distinct16
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-07 00:09:00
2024-05-11T05:17:11.180272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:17:11.537487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)77.0%
Missing4
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean195190.99
Minimum191825.26
Maximum197067.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-11T05:17:12.036346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191825.26
5-th percentile193235.81
Q1194171.21
median195266.85
Q3196638.1
95-th percentile197015.07
Maximum197067.07
Range5241.8115
Interquartile range (IQR)2466.8864

Descriptive statistics

Standard deviation1354.0332
Coefficient of variation (CV)0.006936966
Kurtosis-0.74234141
Mean195190.99
Median Absolute Deviation (MAD)1371.2441
Skewness-0.28160785
Sum11906650
Variance1833406
MonotonicityNot monotonic
2024-05-11T05:17:12.510092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
196638.096232174 4
 
6.2%
197015.074449594 3
 
4.6%
196000.221631664 3
 
4.6%
196994.902472755 2
 
3.1%
195266.85212632 2
 
3.1%
195625.431453027 2
 
3.1%
194584.959249312 2
 
3.1%
194842.291232686 2
 
3.1%
194524.852677701 2
 
3.1%
195434.456420229 2
 
3.1%
Other values (37) 37
56.9%
(Missing) 4
 
6.2%
ValueCountFrequency (%)
191825.258047418 1
1.5%
192202.362494588 1
1.5%
193122.973418794 1
1.5%
193235.813271025 1
1.5%
193423.550017619 1
1.5%
193512.517179427 1
1.5%
193576.751798214 1
1.5%
193577.956696048 1
1.5%
193646.221514932 1
1.5%
193672.227355748 1
1.5%
ValueCountFrequency (%)
197067.069571308 1
 
1.5%
197015.074449594 3
4.6%
196994.902472755 2
3.1%
196945.454641052 1
 
1.5%
196829.272845892 1
 
1.5%
196824.072701729 1
 
1.5%
196810.949114639 1
 
1.5%
196801.661639204 1
 
1.5%
196746.77643876 1
 
1.5%
196694.508582738 1
 
1.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)77.0%
Missing4
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean451986.15
Minimum450582.21
Maximum455294.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-11T05:17:13.047835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450582.21
5-th percentile450586.32
Q1451177.06
median451307.9
Q3452435.46
95-th percentile454889.21
Maximum455294.18
Range4711.9684
Interquartile range (IQR)1258.4037

Descriptive statistics

Standard deviation1426.454
Coefficient of variation (CV)0.0031559683
Kurtosis0.033176494
Mean451986.15
Median Absolute Deviation (MAD)440.9974
Skewness1.1939883
Sum27571155
Variance2034770.9
MonotonicityNot monotonic
2024-05-11T05:17:13.822527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
451243.888624562 4
 
6.2%
451227.679921814 3
 
4.6%
451214.272750827 3
 
4.6%
451220.117774278 2
 
3.1%
454926.775985003 2
 
3.1%
451177.060846524 2
 
3.1%
451381.585492051 2
 
3.1%
450666.510310035 2
 
3.1%
450586.320676496 2
 
3.1%
454781.563945 2
 
3.1%
Other values (37) 37
56.9%
(Missing) 4
 
6.2%
ValueCountFrequency (%)
450582.209797453 1
1.5%
450582.487846378 1
1.5%
450586.320676496 2
3.1%
450634.828737424 1
1.5%
450654.75678106 1
1.5%
450666.510310035 2
3.1%
450729.152178966 1
1.5%
450778.360526179 1
1.5%
450866.900660703 1
1.5%
450890.664072337 1
1.5%
ValueCountFrequency (%)
455294.178211101 1
1.5%
454926.775985003 2
3.1%
454889.208080133 1
1.5%
454823.594858314 1
1.5%
454786.019433577 1
1.5%
454781.563945 2
3.1%
454649.05773143 1
1.5%
453965.307406864 1
1.5%
453892.788860656 1
1.5%
453207.330401419 1
1.5%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
인쇄사
59 
<NA>
6 

Length

Max length4
Median length3
Mean length3.0923077
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인쇄사 59
90.8%
<NA> 6
 
9.2%

Length

2024-05-11T05:17:14.375541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:17:14.841772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인쇄사 59
90.8%
na 6
 
9.2%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
출판인쇄업
59 
<NA>
6 

Length

Max length5
Median length5
Mean length4.9076923
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판인쇄업 59
90.8%
<NA> 6
 
9.2%

Length

2024-05-11T05:17:15.432410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:17:15.859979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 59
90.8%
na 6
 
9.2%

총층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
60 
0
 
4
1
 
1

Length

Max length4
Median length4
Mean length3.7692308
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 60
92.3%
0 4
 
6.2%
1 1
 
1.5%

Length

2024-05-11T05:17:16.447507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:17:16.990057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 60
92.3%
0 4
 
6.2%
1 1
 
1.5%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing64
Missing (%)98.5%
Memory size652.0 B
2024-05-11T05:17:17.338606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row기타
ValueCountFrequency (%)
기타 1
100.0%
2024-05-11T05:17:18.295115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

시설면적
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
58 
0.0
 
4
66.0
 
1
193.41
 
1
840.0
 
1

Length

Max length6
Median length4
Mean length3.9846154
Min length3

Unique

Unique3 ?
Unique (%)4.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 58
89.2%
0.0 4
 
6.2%
66.0 1
 
1.5%
193.41 1
 
1.5%
840.0 1
 
1.5%

Length

2024-05-11T05:17:18.730023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:17:19.221038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 58
89.2%
0.0 4
 
6.2%
66.0 1
 
1.5%
193.41 1
 
1.5%
840.0 1
 
1.5%

지상층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
60 
0
 
4
1
 
1

Length

Max length4
Median length4
Mean length3.7692308
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 60
92.3%
0 4
 
6.2%
1 1
 
1.5%

Length

2024-05-11T05:17:19.765574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:17:20.239358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 60
92.3%
0 4
 
6.2%
1 1
 
1.5%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
61 
0
 
4

Length

Max length4
Median length4
Mean length3.8153846
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 61
93.8%
0 4
 
6.2%

Length

2024-05-11T05:17:20.792332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:17:21.238908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 61
93.8%
0 4
 
6.2%

건물용도명
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
60 
근린생활시설
 
4
사무실
 
1

Length

Max length6
Median length4
Mean length4.1076923
Min length3

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 60
92.3%
근린생활시설 4
 
6.2%
사무실 1
 
1.5%

Length

2024-05-11T05:17:21.737004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:17:22.145696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 60
92.3%
근린생활시설 4
 
6.2%
사무실 1
 
1.5%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
62 
0
 
3

Length

Max length4
Median length4
Mean length3.8615385
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 62
95.4%
0 3
 
4.6%

Length

2024-05-11T05:17:22.598626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:17:22.947359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 62
95.4%
0 3
 
4.6%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
62 
0
 
3

Length

Max length4
Median length4
Mean length3.8615385
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 62
95.4%
0 3
 
4.6%

Length

2024-05-11T05:17:23.470091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:17:23.928541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 62
95.4%
0 3
 
4.6%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
62 
0
 
3

Length

Max length4
Median length4
Mean length3.8615385
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 62
95.4%
0 3
 
4.6%

Length

2024-05-11T05:17:24.619454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:17:24.961869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 62
95.4%
0 3
 
4.6%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
62 
0
 
3

Length

Max length4
Median length4
Mean length3.8615385
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 62
95.4%
0 3
 
4.6%

Length

2024-05-11T05:17:25.731857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:17:26.365051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 62
95.4%
0 3
 
4.6%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
62 
0
 
3

Length

Max length4
Median length4
Mean length3.8615385
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 62
95.4%
0 3
 
4.6%

Length

2024-05-11T05:17:27.093936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:17:27.891739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 62
95.4%
0 3
 
4.6%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

지역구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing64
Missing (%)98.5%
Memory size652.0 B
2024-05-11T05:17:28.372857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row준주거지역
ValueCountFrequency (%)
준주거지역 1
100.0%
2024-05-11T05:17:29.138488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
준 1
20.0%
주 1
20.0%
거 1
20.0%
지 1
20.0%
역 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
준 1
20.0%
주 1
20.0%
거 1
20.0%
지 1
20.0%
역 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
준 1
20.0%
주 1
20.0%
거 1
20.0%
지 1
20.0%
역 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
준 1
20.0%
주 1
20.0%
거 1
20.0%
지 1
20.0%
역 1
20.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03120000CDFG125200196300000119630228<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>120040서울특별시 서대문구 천연동 **번지서울특별시 서대문구 독립문로 ** (천연동)<NA>흥문기획2008-10-15 10:32:58I2018-08-31 23:59:59.0<NA>196531.780076451822.584379인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13120000CDFG125200196400000119640519<NA>3폐업3폐업20040709<NA><NA><NA>363-7189<NA>120818서울특별시 서대문구 북아현동 ***-**번지<NA><NA>백광인쇄사2004-07-09 11:13:34I2018-08-31 23:59:59.0<NA>195625.431453451177.060847인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23120000CDFG125200197000000119700611<NA>1영업/정상13영업중<NA><NA><NA><NA>3639-3812<NA>120050서울특별시 서대문구 냉천동 ***-*번지<NA><NA>문화인쇄제본사2003-08-08 16:13:30I2018-08-31 23:59:59.0<NA><NA><NA>인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33120000CDFG125200197100000119710506<NA>1영업/정상13영업중<NA><NA><NA><NA>738-7807<NA>120020서울특별시 서대문구 미근동 **-*번지 미근빌딩 *층서울특별시 서대문구 충정로*안길 ** (미근동,미근빌딩 *층)<NA>(주) 서등2008-08-01 16:40:20I2018-08-31 23:59:59.0<NA>196994.902473451220.117774인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43120000CDFG125200197900000119790801<NA>1영업/정상13영업중<NA><NA><NA><NA>395-4822<NA>120861서울특별시 서대문구 홍제동 ***-**번지서울특별시 서대문구 홍제내길 *** (홍제동)<NA>신성옵셋2003-08-08 16:14:29I2018-08-31 23:59:59.0<NA>194297.169315453892.788861인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53120000CDFG125200197900000219791101<NA>3폐업3폐업20030530<NA><NA><NA><NA><NA>120822서울특별시 서대문구 북아현동 ***-**번지서울특별시 서대문구 신촌로**길 * (북아현동)<NA>광일인쇄사2003-05-30 17:38:13I2018-08-31 23:59:59.0<NA>195602.535333450582.209797인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63120000CDFG125200198900000119890215<NA>1영업/정상13영업중<NA><NA><NA><NA>312-2011<NA>120050서울특별시 서대문구 냉천동 ***-*번지서울특별시 서대문구 통일로*길 * (냉천동)<NA>삼중문화사2003-08-08 16:16:38I2018-08-31 23:59:59.0<NA>196810.949115451677.234414인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73120000CDFG125200199100000119910529<NA>1영업/정상13영업중<NA><NA><NA><NA>364-8830-1<NA>120020서울특별시 서대문구 미근동 **-*번지서울특별시 서대문구 충정로*안길 ** (미근동)<NA>천풍전산인쇄사2003-08-08 16:17:03I2018-08-31 23:59:59.0<NA>197015.07445451227.679922인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83120000CDFG125200199100000219911010<NA>1영업/정상13영업중<NA><NA><NA><NA>302-0584<NA>120814서울특별시 서대문구 북가좌동 ***-**번지서울특별시 서대문구 거북골로**길 *-** (북가좌동)<NA>천은기획인쇄사2003-08-08 16:18:27I2018-08-31 23:59:59.0<NA>191825.258047453038.241369인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93120000CDFG125200199300000119930126<NA>1영업/정상13영업중<NA><NA><NA><NA>35-0061<NA>120822서울특별시 서대문구 북아현동 ***-*번지서울특별시 서대문구 신촌로**길 ** (북아현동)<NA>신문사2003-08-08 16:19:38I2018-08-31 23:59:59.0<NA>195534.476344450582.487846인쇄사출판인쇄업<NA><NA><NA><NA><NA><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
553120000CDFG12520020190000022019-02-28<NA>3폐업3폐업2023-12-06<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 홍은동 *** 홍은동벽산아파트서울특별시 서대문구 세검정로*길 **, A동 *층 ***호 (홍은동, 홍은동벽산아파트)3612푸른행복 출판사2023-12-06 19:56:49U2022-11-02 00:09:00.0<NA>195057.033842454786.019434<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
563120000CDFG125200201900000320191126<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4117-5785<NA><NA>서울특별시 서대문구 연희동 ***-**번지서울특별시 서대문구 연희로**가길 **, ***호 (연희동)3707(주)위즈디자인랩2019-11-26 09:06:58I2019-11-28 00:23:35.0<NA>193576.751798451607.176604인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
573120000CDFG125200202000000120200731<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 홍제동 ***-** *층서울특별시 서대문구 간호대로 **-*, *층 (홍제동)3619서광기획인쇄2020-07-31 09:50:15I2020-08-02 00:23:14.0<NA>195266.852126454926.775985인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
583120000CDFG125200202100000120210709<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 대현동 ***-** 현대캠퍼빌서울특별시 서대문구 신촌역로 **, 현대캠퍼빌 *층 ***호 (대현동)3780디자인우리2021-07-09 18:19:49I2021-07-11 00:22:52.0<NA>194842.291233450666.51031인쇄사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
593120000CDFG125200202100000220211109<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 연희동 ***-**서울특별시 서대문구 연희맛로 **-**, ***호 (연희동)3707디자인이끼2021-11-09 10:18:01I2021-11-11 00:22:54.0<NA>193646.221515451677.18932인쇄사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
603120000CDFG125200202100000320211206<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 홍은동 ***-**서울특별시 서대문구 증가로*길 **-*, *층 (홍은동)3664메이데이(mayday)2021-12-06 16:22:12I2021-12-08 00:22:43.0<NA>193577.956696452820.981419인쇄사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
613120000CDFG125200202200000120220707<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 홍제동 ***-*서울특별시 서대문구 세검정로 **-*, 지층 (홍제동)3618다원문화사2022-07-07 15:11:59I2021-12-06 23:02:00.0<NA>195434.45642454781.563945<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
623120000CDFG125200202200000220180912<NA>1영업/정상13영업중<NA><NA><NA><NA>023253264<NA><NA>서울특별시 서대문구 대현동 ***-** 현대캠퍼빌서울특별시 서대문구 신촌역로 **, 현대캠퍼빌 ***호 (대현동)3780주식회사 디자인나눔2022-07-25 15:14:21I2021-12-06 22:07:00.0<NA>194842.291233450666.51031<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
633120000CDFG12520020230000012021-12-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 충정로*가 *** 골든타워빌딩서울특별시 서대문구 충정로 **, 골든타워빌딩 ****,****호 (충정로*가)3736(주)세창2023-04-07 15:23:35I2022-12-04 00:09:00.0<NA>196801.661639451267.809662<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
643120000CDFG12520020230000022023-07-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 연희동 **-** 미창빌딩서울특별시 서대문구 연희로 ***, 미창빌딩 *층 (연희동)3720스튜디오 초월2023-07-07 09:02:39I2022-12-07 00:09:00.0<NA>194256.070887452435.464497<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>