Overview

Dataset statistics

Number of variables56
Number of observations41
Missing cells1316
Missing cells (%)57.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.6 KiB
Average record size in memory490.2 B

Variable types

Categorical13
Text7
DateTime3
Unsupported30
Numeric3

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author동대문구
URLhttps://data.seoul.go.kr/dataList/OA-17857/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
데이터갱신일자 is highly imbalanced (65.1%)Imbalance
문화체육업종명 is highly imbalanced (62.2%)Imbalance
문화사업자구분명 is highly imbalanced (62.2%)Imbalance
총층수 is highly imbalanced (64.0%)Imbalance
지상층수 is highly imbalanced (59.3%)Imbalance
지하층수 is highly imbalanced (64.9%)Imbalance
인허가취소일자 has 41 (100.0%) missing valuesMissing
폐업일자 has 31 (75.6%) missing valuesMissing
휴업시작일자 has 41 (100.0%) missing valuesMissing
휴업종료일자 has 41 (100.0%) missing valuesMissing
재개업일자 has 41 (100.0%) missing valuesMissing
전화번호 has 7 (17.1%) missing valuesMissing
소재지면적 has 41 (100.0%) missing valuesMissing
소재지우편번호 has 8 (19.5%) missing valuesMissing
도로명주소 has 6 (14.6%) missing valuesMissing
도로명우편번호 has 6 (14.6%) missing valuesMissing
업태구분명 has 41 (100.0%) missing valuesMissing
좌표정보(X) has 3 (7.3%) missing valuesMissing
좌표정보(Y) has 3 (7.3%) missing valuesMissing
주변환경명 has 41 (100.0%) missing valuesMissing
제작취급품목내용 has 41 (100.0%) missing valuesMissing
시설면적 has 22 (53.7%) missing valuesMissing
통로너비 has 41 (100.0%) missing valuesMissing
조명시설조도 has 41 (100.0%) missing valuesMissing
노래방실수 has 41 (100.0%) missing valuesMissing
청소년실수 has 41 (100.0%) missing valuesMissing
비상계단여부 has 41 (100.0%) missing valuesMissing
비상구여부 has 41 (100.0%) missing valuesMissing
자동환기여부 has 41 (100.0%) missing valuesMissing
청소년실여부 has 41 (100.0%) missing valuesMissing
특수조명여부 has 41 (100.0%) missing valuesMissing
방음시설여부 has 41 (100.0%) missing valuesMissing
비디오재생기명 has 41 (100.0%) missing valuesMissing
조명시설유무 has 41 (100.0%) missing valuesMissing
음향시설여부 has 41 (100.0%) missing valuesMissing
편의시설여부 has 41 (100.0%) missing valuesMissing
소방시설여부 has 41 (100.0%) missing valuesMissing
총게임기수 has 41 (100.0%) missing valuesMissing
기존게임업외업종명 has 41 (100.0%) missing valuesMissing
제공게임물명 has 41 (100.0%) missing valuesMissing
공연장형태구분명 has 41 (100.0%) missing valuesMissing
품목명 has 41 (100.0%) missing valuesMissing
최초등록시점 has 41 (100.0%) missing valuesMissing
지역구분명 has 41 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 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
주변환경명 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
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 12 (29.3%) zerosZeros

Reproduction

Analysis started2024-05-11 06:00:31.515947
Analysis finished2024-05-11 06:00:32.209448
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
3050000
41 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3050000 41
100.0%

Length

2024-05-11T15:00:32.312136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:00:32.504267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3050000 41
100.0%

관리번호
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-05-11T15:00:32.756833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters820
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

Unique41 ?
Unique (%)100.0%

Sample

1st rowCDFG1252001971000001
2nd rowCDFG1252001971000002
3rd rowCDFG1252001971000003
4th rowCDFG1252001971000004
5th rowCDFG1252001973000001
ValueCountFrequency (%)
cdfg1252001971000001 1
 
2.4%
cdfg1252002005000002 1
 
2.4%
cdfg1252002007000001 1
 
2.4%
cdfg1252002009000001 1
 
2.4%
cdfg1252002009000004 1
 
2.4%
cdfg1252002010000001 1
 
2.4%
cdfg1252002010000002 1
 
2.4%
cdfg1252002012000002 1
 
2.4%
cdfg1252002012000003 1
 
2.4%
cdfg1252002015000001 1
 
2.4%
Other values (31) 31
75.6%
2024-05-11T15:00:33.250825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 332
40.5%
2 126
 
15.4%
1 89
 
10.9%
5 51
 
6.2%
C 41
 
5.0%
D 41
 
5.0%
F 41
 
5.0%
G 41
 
5.0%
9 20
 
2.4%
7 14
 
1.7%
Other values (4) 24
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 656
80.0%
Uppercase Letter 164
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 332
50.6%
2 126
 
19.2%
1 89
 
13.6%
5 51
 
7.8%
9 20
 
3.0%
7 14
 
2.1%
3 11
 
1.7%
4 9
 
1.4%
8 3
 
0.5%
6 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
C 41
25.0%
D 41
25.0%
F 41
25.0%
G 41
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 656
80.0%
Latin 164
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 332
50.6%
2 126
 
19.2%
1 89
 
13.6%
5 51
 
7.8%
9 20
 
3.0%
7 14
 
2.1%
3 11
 
1.7%
4 9
 
1.4%
8 3
 
0.5%
6 1
 
0.2%
Latin
ValueCountFrequency (%)
C 41
25.0%
D 41
25.0%
F 41
25.0%
G 41
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 820
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 332
40.5%
2 126
 
15.4%
1 89
 
10.9%
5 51
 
6.2%
C 41
 
5.0%
D 41
 
5.0%
F 41
 
5.0%
G 41
 
5.0%
9 20
 
2.4%
7 14
 
1.7%
Other values (4) 24
 
2.9%

인허가일자
Date

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum1971-05-17 00:00:00
Maximum2018-07-04 00:00:00
2024-05-11T15:00:33.487513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:00:33.727241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
1
29 
3
10 
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row3
3rd row3
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 29
70.7%
3 10
 
24.4%
4 2
 
4.9%

Length

2024-05-11T15:00:33.942217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:00:34.135718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 29
70.7%
3 10
 
24.4%
4 2
 
4.9%

영업상태명
Categorical

Distinct3
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
영업/정상
29 
폐업
10 
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length4.7073171
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 29
70.7%
폐업 10
 
24.4%
취소/말소/만료/정지/중지 2
 
4.9%

Length

2024-05-11T15:00:34.313751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:00:34.500714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 29
70.7%
폐업 10
 
24.4%
취소/말소/만료/정지/중지 2
 
4.9%

상세영업상태코드
Categorical

Distinct3
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
13
29 
3
10 
31
 
2

Length

Max length2
Median length2
Mean length1.7560976
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row31
2nd row3
3rd row3
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 29
70.7%
3 10
 
24.4%
31 2
 
4.9%

Length

2024-05-11T15:00:34.696876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:00:34.902910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 29
70.7%
3 10
 
24.4%
31 2
 
4.9%

상세영업상태명
Categorical

Distinct3
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
영업중
29 
폐업
10 
등록취소
 
2

Length

Max length4
Median length3
Mean length2.804878
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 29
70.7%
폐업 10
 
24.4%
등록취소 2
 
4.9%

Length

2024-05-11T15:00:35.099445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:00:35.258623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 29
70.7%
폐업 10
 
24.4%
등록취소 2
 
4.9%

폐업일자
Date

MISSING 

Distinct10
Distinct (%)100.0%
Missing31
Missing (%)75.6%
Memory size460.0 B
Minimum2002-10-21 00:00:00
Maximum2023-06-01 00:00:00
2024-05-11T15:00:35.369282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:00:35.507456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

전화번호
Text

MISSING 

Distinct33
Distinct (%)97.1%
Missing7
Missing (%)17.1%
Memory size460.0 B
2024-05-11T15:00:35.830016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9
Min length2

Characters and Unicode

Total characters306
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

Unique32 ?
Unique (%)94.1%

Sample

1st row548-4421
2nd row967-8828
3rd row966-8590
4th row967-6425
5th row967-2397
ValueCountFrequency (%)
963-8356 2
 
5.9%
02-924-4710 1
 
2.9%
548-4421 1
 
2.9%
02 1
 
2.9%
02-927-6363 1
 
2.9%
02-2244-7074 1
 
2.9%
02-953-2051 1
 
2.9%
02-2268-5589 1
 
2.9%
02-966-2636 1
 
2.9%
02-926-7272 1
 
2.9%
Other values (23) 23
67.6%
2024-05-11T15:00:36.273969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 64
20.9%
- 43
14.1%
0 34
11.1%
9 30
9.8%
6 28
9.2%
5 22
 
7.2%
4 20
 
6.5%
7 20
 
6.5%
3 19
 
6.2%
8 13
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 263
85.9%
Dash Punctuation 43
 
14.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 64
24.3%
0 34
12.9%
9 30
11.4%
6 28
10.6%
5 22
 
8.4%
4 20
 
7.6%
7 20
 
7.6%
3 19
 
7.2%
8 13
 
4.9%
1 13
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 306
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 64
20.9%
- 43
14.1%
0 34
11.1%
9 30
9.8%
6 28
9.2%
5 22
 
7.2%
4 20
 
6.5%
7 20
 
6.5%
3 19
 
6.2%
8 13
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 306
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 64
20.9%
- 43
14.1%
0 34
11.1%
9 30
9.8%
6 28
9.2%
5 22
 
7.2%
4 20
 
6.5%
7 20
 
6.5%
3 19
 
6.2%
8 13
 
4.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

소재지우편번호
Text

MISSING 

Distinct22
Distinct (%)66.7%
Missing8
Missing (%)19.5%
Memory size460.0 B
2024-05-11T15:00:36.517182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0606061
Min length6

Characters and Unicode

Total characters200
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

Unique15 ?
Unique (%)45.5%

Sample

1st row130869
2nd row130864
3rd row130872
4th row130868
5th row130869
ValueCountFrequency (%)
130823 5
15.2%
130872 3
 
9.1%
130869 2
 
6.1%
130821 2
 
6.1%
130830 2
 
6.1%
130800 2
 
6.1%
130100 2
 
6.1%
130864 1
 
3.0%
130817 1
 
3.0%
130810 1
 
3.0%
Other values (12) 12
36.4%
2024-05-11T15:00:36.958059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 46
23.0%
1 44
22.0%
3 41
20.5%
8 32
16.0%
2 14
 
7.0%
6 7
 
3.5%
4 6
 
3.0%
7 5
 
2.5%
9 2
 
1.0%
- 2
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 198
99.0%
Dash Punctuation 2
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 46
23.2%
1 44
22.2%
3 41
20.7%
8 32
16.2%
2 14
 
7.1%
6 7
 
3.5%
4 6
 
3.0%
7 5
 
2.5%
9 2
 
1.0%
5 1
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 200
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 46
23.0%
1 44
22.0%
3 41
20.5%
8 32
16.0%
2 14
 
7.0%
6 7
 
3.5%
4 6
 
3.0%
7 5
 
2.5%
9 2
 
1.0%
- 2
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 46
23.0%
1 44
22.0%
3 41
20.5%
8 32
16.0%
2 14
 
7.0%
6 7
 
3.5%
4 6
 
3.0%
7 5
 
2.5%
9 2
 
1.0%
- 2
 
1.0%

지번주소
Text

Distinct33
Distinct (%)80.5%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-05-11T15:00:37.255580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length32
Mean length25.707317
Min length20

Characters and Unicode

Total characters1054
Distinct characters48
Distinct categories4 ?
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 (%)68.3%

Sample

1st row서울특별시 동대문구 청량리동 ***-**번지
2nd row서울특별시 동대문구 제기동 ****번지
3rd row서울특별시 동대문구 회기동 **번지
4th row서울특별시 동대문구 청량리동 ***번지
5th row서울특별시 동대문구 청량리동 ***-*번지
ValueCountFrequency (%)
서울특별시 41
22.0%
동대문구 41
22.0%
번지 37
19.9%
용두동 12
 
6.5%
층 6
 
3.2%
청량리동 5
 
2.7%
장안동 5
 
2.7%
호 4
 
2.2%
답십리동 4
 
2.2%
4
 
2.2%
Other values (14) 27
14.5%
2024-05-11T15:00:37.688684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 207
19.6%
180
17.1%
동 82
 
7.8%
문 45
 
4.3%
지 44
 
4.2%
서 41
 
3.9%
울 41
 
3.9%
특 41
 
3.9%
별 41
 
3.9%
시 41
 
3.9%
Other values (38) 291
27.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 627
59.5%
Other Punctuation 208
 
19.7%
Space Separator 180
 
17.1%
Dash Punctuation 39
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 82
13.1%
문 45
 
7.2%
지 44
 
7.0%
서 41
 
6.5%
울 41
 
6.5%
특 41
 
6.5%
별 41
 
6.5%
시 41
 
6.5%
대 41
 
6.5%
구 41
 
6.5%
Other values (34) 169
27.0%
Other Punctuation
ValueCountFrequency (%)
* 207
99.5%
, 1
 
0.5%
Space Separator
ValueCountFrequency (%)
180
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 627
59.5%
Common 427
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 82
13.1%
문 45
 
7.2%
지 44
 
7.0%
서 41
 
6.5%
울 41
 
6.5%
특 41
 
6.5%
별 41
 
6.5%
시 41
 
6.5%
대 41
 
6.5%
구 41
 
6.5%
Other values (34) 169
27.0%
Common
ValueCountFrequency (%)
* 207
48.5%
180
42.2%
- 39
 
9.1%
, 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 627
59.5%
ASCII 427
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 207
48.5%
180
42.2%
- 39
 
9.1%
, 1
 
0.2%
Hangul
ValueCountFrequency (%)
동 82
13.1%
문 45
 
7.2%
지 44
 
7.0%
서 41
 
6.5%
울 41
 
6.5%
특 41
 
6.5%
별 41
 
6.5%
시 41
 
6.5%
대 41
 
6.5%
구 41
 
6.5%
Other values (34) 169
27.0%

도로명주소
Text

MISSING 

Distinct30
Distinct (%)85.7%
Missing6
Missing (%)14.6%
Memory size460.0 B
2024-05-11T15:00:37.973335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length34
Mean length28.114286
Min length22

Characters and Unicode

Total characters984
Distinct characters68
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

Unique25 ?
Unique (%)71.4%

Sample

1st row서울특별시 동대문구 홍릉로**길 * (청량리동)
2nd row서울특별시 동대문구 장한로*길 ** (장안동)
3rd row서울특별시 동대문구 청계천로 *** (용두동)
4th row서울특별시 동대문구 천호대로**나길 ** (용두동)
5th row서울특별시 동대문구 한천로 *** (답십리동)
ValueCountFrequency (%)
서울특별시 35
17.9%
동대문구 35
17.9%
35
17.9%
용두동 11
 
5.6%
층 10
 
5.1%
장안동 5
 
2.6%
호 4
 
2.0%
신설동 4
 
2.0%
이문동 4
 
2.0%
답십리동 3
 
1.5%
Other values (33) 50
25.5%
2024-05-11T15:00:38.589125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
161
16.4%
* 133
 
13.5%
동 72
 
7.3%
문 43
 
4.4%
대 41
 
4.2%
시 37
 
3.8%
서 36
 
3.7%
울 36
 
3.7%
로 35
 
3.6%
) 35
 
3.6%
Other values (58) 355
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 599
60.9%
Space Separator 161
 
16.4%
Other Punctuation 149
 
15.1%
Close Punctuation 35
 
3.6%
Open Punctuation 35
 
3.6%
Dash Punctuation 4
 
0.4%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 72
 
12.0%
문 43
 
7.2%
대 41
 
6.8%
시 37
 
6.2%
서 36
 
6.0%
울 36
 
6.0%
로 35
 
5.8%
구 35
 
5.8%
별 35
 
5.8%
특 35
 
5.8%
Other values (51) 194
32.4%
Other Punctuation
ValueCountFrequency (%)
* 133
89.3%
, 16
 
10.7%
Space Separator
ValueCountFrequency (%)
161
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 599
60.9%
Common 384
39.0%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 72
 
12.0%
문 43
 
7.2%
대 41
 
6.8%
시 37
 
6.2%
서 36
 
6.0%
울 36
 
6.0%
로 35
 
5.8%
구 35
 
5.8%
별 35
 
5.8%
특 35
 
5.8%
Other values (51) 194
32.4%
Common
ValueCountFrequency (%)
161
41.9%
* 133
34.6%
) 35
 
9.1%
( 35
 
9.1%
, 16
 
4.2%
- 4
 
1.0%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 599
60.9%
ASCII 385
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
161
41.8%
* 133
34.5%
) 35
 
9.1%
( 35
 
9.1%
, 16
 
4.2%
- 4
 
1.0%
A 1
 
0.3%
Hangul
ValueCountFrequency (%)
동 72
 
12.0%
문 43
 
7.2%
대 41
 
6.8%
시 37
 
6.2%
서 36
 
6.0%
울 36
 
6.0%
로 35
 
5.8%
구 35
 
5.8%
별 35
 
5.8%
특 35
 
5.8%
Other values (51) 194
32.4%

도로명우편번호
Text

MISSING 

Distinct27
Distinct (%)77.1%
Missing6
Missing (%)14.6%
Memory size460.0 B
2024-05-11T15:00:38.840151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.8285714
Min length5

Characters and Unicode

Total characters204
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

Unique21 ?
Unique (%)60.0%

Sample

1st row130869
2nd row130846
3rd row130817
4th row130821
5th row130800
ValueCountFrequency (%)
130823 4
 
11.4%
130100 2
 
5.7%
02583 2
 
5.7%
130830 2
 
5.7%
130872 2
 
5.7%
130821 2
 
5.7%
130824 1
 
2.9%
130846 1
 
2.9%
130814 1
 
2.9%
02530 1
 
2.9%
Other values (17) 17
48.6%
2024-05-11T15:00:39.273679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 48
23.5%
1 39
19.1%
3 38
18.6%
8 27
13.2%
2 20
9.8%
4 8
 
3.9%
5 7
 
3.4%
7 7
 
3.4%
6 6
 
2.9%
- 2
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 202
99.0%
Dash Punctuation 2
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 48
23.8%
1 39
19.3%
3 38
18.8%
8 27
13.4%
2 20
9.9%
4 8
 
4.0%
5 7
 
3.5%
7 7
 
3.5%
6 6
 
3.0%
9 2
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 204
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 48
23.5%
1 39
19.1%
3 38
18.6%
8 27
13.2%
2 20
9.8%
4 8
 
3.9%
5 7
 
3.4%
7 7
 
3.4%
6 6
 
2.9%
- 2
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 204
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 48
23.5%
1 39
19.1%
3 38
18.6%
8 27
13.2%
2 20
9.8%
4 8
 
3.9%
5 7
 
3.4%
7 7
 
3.4%
6 6
 
2.9%
- 2
 
1.0%

사업장명
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-05-11T15:00:39.648017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length5.8536585
Min length2

Characters and Unicode

Total characters240
Distinct characters109
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

Unique41 ?
Unique (%)100.0%

Sample

1st row(주)은광사
2nd row신진문화사
3rd row문우인쇄소
4th row청량인쇄소
5th row광문인쇄소
ValueCountFrequency (%)
주식회사 3
 
6.2%
주)은광사 1
 
2.1%
디자인붐 1
 
2.1%
커뮤니케이션 1
 
2.1%
블루월드 1
 
2.1%
경희문화사 1
 
2.1%
tomato 1
 
2.1%
명진인쇄 1
 
2.1%
런닝카피 1
 
2.1%
한솔 1
 
2.1%
Other values (36) 36
75.0%
2024-05-11T15:00:40.210284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 14
 
5.8%
문 13
 
5.4%
인 12
 
5.0%
주 8
 
3.3%
쇄 8
 
3.3%
7
 
2.9%
화 7
 
2.9%
( 5
 
2.1%
) 5
 
2.1%
신 5
 
2.1%
Other values (99) 156
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 216
90.0%
Space Separator 7
 
2.9%
Uppercase Letter 6
 
2.5%
Open Punctuation 5
 
2.1%
Close Punctuation 5
 
2.1%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 14
 
6.5%
문 13
 
6.0%
인 12
 
5.6%
주 8
 
3.7%
쇄 8
 
3.7%
화 7
 
3.2%
신 5
 
2.3%
소 4
 
1.9%
회 4
 
1.9%
경 4
 
1.9%
Other values (91) 137
63.4%
Uppercase Letter
ValueCountFrequency (%)
T 2
33.3%
O 2
33.3%
M 1
16.7%
A 1
16.7%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 216
90.0%
Common 18
 
7.5%
Latin 6
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 14
 
6.5%
문 13
 
6.0%
인 12
 
5.6%
주 8
 
3.7%
쇄 8
 
3.7%
화 7
 
3.2%
신 5
 
2.3%
소 4
 
1.9%
회 4
 
1.9%
경 4
 
1.9%
Other values (91) 137
63.4%
Common
ValueCountFrequency (%)
7
38.9%
( 5
27.8%
) 5
27.8%
& 1
 
5.6%
Latin
ValueCountFrequency (%)
T 2
33.3%
O 2
33.3%
M 1
16.7%
A 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 216
90.0%
ASCII 24
 
10.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 14
 
6.5%
문 13
 
6.0%
인 12
 
5.6%
주 8
 
3.7%
쇄 8
 
3.7%
화 7
 
3.2%
신 5
 
2.3%
소 4
 
1.9%
회 4
 
1.9%
경 4
 
1.9%
Other values (91) 137
63.4%
ASCII
ValueCountFrequency (%)
7
29.2%
( 5
20.8%
) 5
20.8%
T 2
 
8.3%
O 2
 
8.3%
& 1
 
4.2%
M 1
 
4.2%
A 1
 
4.2%

최종수정일자
Date

Distinct39
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum2003-04-18 15:38:44
Maximum2023-12-06 17:24:34
2024-05-11T15:00:40.439665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:00:40.636099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
I
35 
U
6 

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 35
85.4%
U 6
 
14.6%

Length

2024-05-11T15:00:40.838502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:00:40.998540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 35
85.4%
u 6
 
14.6%

데이터갱신일자
Categorical

IMBALANCE 

Distinct7
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Memory size460.0 B
2018-08-31 23:59:59.0
35 
2021-02-10 02:40:00.0
 
1
2022-11-02 00:09:00.0
 
1
2022-12-04 00:07:00.0
 
1
2019-10-31 02:40:00.0
 
1
Other values (2)
 
2

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique6 ?
Unique (%)14.6%

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 35
85.4%
2021-02-10 02:40:00.0 1
 
2.4%
2022-11-02 00:09:00.0 1
 
2.4%
2022-12-04 00:07:00.0 1
 
2.4%
2019-10-31 02:40:00.0 1
 
2.4%
2019-05-10 02:40:00.0 1
 
2.4%
2022-12-06 00:03:00.0 1
 
2.4%

Length

2024-05-11T15:00:41.455636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:00:41.644549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 35
42.7%
23:59:59.0 35
42.7%
02:40:00.0 3
 
3.7%
2021-02-10 1
 
1.2%
2022-11-02 1
 
1.2%
00:09:00.0 1
 
1.2%
2022-12-04 1
 
1.2%
00:07:00.0 1
 
1.2%
2019-10-31 1
 
1.2%
2019-05-10 1
 
1.2%
Other values (2) 2
 
2.4%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)92.1%
Missing3
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean203880.42
Minimum202076.14
Maximum206237.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2024-05-11T15:00:41.946878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202076.14
5-th percentile202170.2
Q1202582.4
median203615.43
Q3205259.74
95-th percentile205986.37
Maximum206237.16
Range4161.0231
Interquartile range (IQR)2677.3428

Descriptive statistics

Standard deviation1433.3372
Coefficient of variation (CV)0.0070302838
Kurtosis-1.5464097
Mean203880.42
Median Absolute Deviation (MAD)1140.6225
Skewness0.28424365
Sum7747455.9
Variance2054455.5
MonotonicityNot monotonic
2024-05-11T15:00:42.155665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
202582.400008891 2
 
4.9%
205862.91407383 2
 
4.9%
205231.132899714 2
 
4.9%
204578.917743488 1
 
2.4%
202635.500340631 1
 
2.4%
206237.158132452 1
 
2.4%
202927.676413455 1
 
2.4%
202181.999386105 1
 
2.4%
202509.839471957 1
 
2.4%
205329.099886508 1
 
2.4%
Other values (25) 25
61.0%
(Missing) 3
 
7.3%
ValueCountFrequency (%)
202076.135036947 1
2.4%
202103.316869176 1
2.4%
202181.999386105 1
2.4%
202182.849816166 1
2.4%
202322.997422803 1
2.4%
202374.477394445 1
2.4%
202454.321411111 1
2.4%
202509.839471957 1
2.4%
202574.221251983 1
2.4%
202582.400008891 2
4.9%
ValueCountFrequency (%)
206237.158132452 1
2.4%
206015.875119792 1
2.4%
205981.164912652 1
2.4%
205871.48455217 1
2.4%
205862.91407383 2
4.9%
205812.928372856 1
2.4%
205428.589569002 1
2.4%
205329.099886508 1
2.4%
205269.279438025 1
2.4%
205231.132899714 2
4.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)92.1%
Missing3
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean452980.49
Minimum451027.08
Maximum455496.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2024-05-11T15:00:42.361164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451027.08
5-th percentile451505.77
Q1452328.49
median452731.35
Q3453345.8
95-th percentile454838.28
Maximum455496.52
Range4469.4474
Interquartile range (IQR)1017.3053

Descriptive statistics

Standard deviation1011.3782
Coefficient of variation (CV)0.0022327192
Kurtosis0.165711
Mean452980.49
Median Absolute Deviation (MAD)465.75877
Skewness0.69125196
Sum17213259
Variance1022886
MonotonicityNot monotonic
2024-05-11T15:00:42.619096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
452590.534661505 2
 
4.9%
452238.729048291 2
 
4.9%
454838.276911422 2
 
4.9%
454436.679457439 1
 
2.4%
453356.348264225 1
 
2.4%
452292.449080256 1
 
2.4%
452980.941887108 1
 
2.4%
452138.418312791 1
 
2.4%
452840.675417193 1
 
2.4%
451518.494316754 1
 
2.4%
Other values (25) 25
61.0%
(Missing) 3
 
7.3%
ValueCountFrequency (%)
451027.075395798 1
2.4%
451433.686198891 1
2.4%
451518.494316754 1
2.4%
452138.418312791 1
2.4%
452167.935125634 1
2.4%
452170.607626367 1
2.4%
452238.729048291 2
4.9%
452292.449080256 1
2.4%
452309.764142206 1
2.4%
452384.666802631 1
2.4%
ValueCountFrequency (%)
455496.522772748 1
2.4%
454838.276911422 2
4.9%
454702.815059028 1
2.4%
454436.679457439 1
2.4%
454367.890407157 1
2.4%
454308.830438554 1
2.4%
453952.94020324 1
2.4%
453617.701870872 1
2.4%
453356.348264225 1
2.4%
453314.135663101 1
2.4%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
인쇄사
38 
<NA>
 
3

Length

Max length4
Median length3
Mean length3.0731707
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인쇄사 38
92.7%
<NA> 3
 
7.3%

Length

2024-05-11T15:00:42.833675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:00:43.005801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인쇄사 38
92.7%
na 3
 
7.3%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
출판인쇄업
38 
<NA>
 
3

Length

Max length5
Median length5
Mean length4.9268293
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판인쇄업 38
92.7%
<NA> 3
 
7.3%

Length

2024-05-11T15:00:43.153337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:00:43.292489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 38
92.7%
na 3
 
7.3%

총층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Memory size460.0 B
<NA>
35 
0
 
2
5
 
1
1
 
1
2
 
1

Length

Max length4
Median length4
Mean length3.5609756
Min length1

Unique

Unique4 ?
Unique (%)9.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 35
85.4%
0 2
 
4.9%
5 1
 
2.4%
1 1
 
2.4%
2 1
 
2.4%
3 1
 
2.4%

Length

2024-05-11T15:00:43.462309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:00:43.662453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
85.4%
0 2
 
4.9%
5 1
 
2.4%
1 1
 
2.4%
2 1
 
2.4%
3 1
 
2.4%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)36.8%
Missing22
Missing (%)53.7%
Infinite0
Infinite (%)0.0%
Mean40.720526
Minimum0
Maximum390.08
Zeros12
Zeros (%)29.3%
Negative0
Negative (%)0.0%
Memory size501.0 B
2024-05-11T15:00:43.820587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q342.9
95-th percentile155.648
Maximum390.08
Range390.08
Interquartile range (IQR)42.9

Descriptive statistics

Standard deviation91.697306
Coefficient of variation (CV)2.2518694
Kurtosis12.886694
Mean40.720526
Median Absolute Deviation (MAD)0
Skewness3.4294398
Sum773.69
Variance8408.3959
MonotonicityNot monotonic
2024-05-11T15:00:44.082415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 12
29.3%
42.9 2
 
4.9%
390.08 1
 
2.4%
129.6 1
 
2.4%
50.0 1
 
2.4%
40.0 1
 
2.4%
78.21 1
 
2.4%
(Missing) 22
53.7%
ValueCountFrequency (%)
0.0 12
29.3%
40.0 1
 
2.4%
42.9 2
 
4.9%
50.0 1
 
2.4%
78.21 1
 
2.4%
129.6 1
 
2.4%
390.08 1
 
2.4%
ValueCountFrequency (%)
390.08 1
 
2.4%
129.6 1
 
2.4%
78.21 1
 
2.4%
50.0 1
 
2.4%
42.9 2
 
4.9%
40.0 1
 
2.4%
0.0 12
29.3%

지상층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size460.0 B
<NA>
35 
1
 
3
0
 
2
2
 
1

Length

Max length4
Median length4
Mean length3.5609756
Min length1

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 35
85.4%
1 3
 
7.3%
0 2
 
4.9%
2 1
 
2.4%

Length

2024-05-11T15:00:44.309949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:00:44.470483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
85.4%
1 3
 
7.3%
0 2
 
4.9%
2 1
 
2.4%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size460.0 B
<NA>
36 
0
 
3
4
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.6341463
Min length1

Unique

Unique2 ?
Unique (%)4.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 36
87.8%
0 3
 
7.3%
4 1
 
2.4%
1 1
 
2.4%

Length

2024-05-11T15:00:44.644007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:00:44.815603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
87.8%
0 3
 
7.3%
4 1
 
2.4%
1 1
 
2.4%

건물용도명
Categorical

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
<NA>
35 
근린생활시설
6 

Length

Max length6
Median length4
Mean length4.2926829
Min length4

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> 35
85.4%
근린생활시설 6
 
14.6%

Length

2024-05-11T15:00:45.024503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:00:45.177588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
85.4%
근린생활시설 6
 
14.6%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03050000CDFG125200197100000119710517<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>548-4421<NA>130869서울특별시 동대문구 청량리동 ***-**번지<NA><NA>(주)은광사2003-04-18 15:38:44I2018-08-31 23:59:59.0<NA><NA><NA>인쇄사출판인쇄업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13050000CDFG125200197100000219710615<NA>3폐업3폐업20060822<NA><NA><NA>967-8828<NA>130864서울특별시 동대문구 제기동 ****번지<NA><NA>신진문화사2006-08-22 14:00:39I2018-08-31 23:59:59.0<NA>203254.0058453151.296992인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23050000CDFG125200197100000319710628<NA>3폐업3폐업20110303<NA><NA><NA>966-8590<NA>130872서울특별시 동대문구 회기동 **번지<NA><NA>문우인쇄소2011-03-04 10:16:23I2018-08-31 23:59:59.0<NA><NA><NA>인쇄사출판인쇄업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33050000CDFG125200197100000419710710<NA>1영업/정상13영업중<NA><NA><NA><NA>967-6425<NA>130868서울특별시 동대문구 청량리동 ***번지<NA><NA>청량인쇄소2003-04-18 15:38:44I2018-08-31 23:59:59.0<NA><NA><NA>인쇄사출판인쇄업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43050000CDFG125200197300000119730412<NA>1영업/정상13영업중<NA><NA><NA><NA>967-2397<NA>130869서울특별시 동대문구 청량리동 ***-*번지서울특별시 동대문구 홍릉로**길 * (청량리동)130869광문인쇄소2013-12-11 11:26:20I2018-08-31 23:59:59.0<NA>203821.399362453617.701871인쇄사출판인쇄업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53050000CDFG125200197400000119740724<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>243-3000<NA>130846서울특별시 동대문구 장안동 ***-*번지서울특별시 동대문구 장한로*길 ** (장안동)130846주식회사 카드랜드2014-04-10 15:44:49I2018-08-31 23:59:59.0<NA>206015.87512451027.075396인쇄사출판인쇄업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63050000CDFG125200198700000119870325<NA>1영업/정상13영업중<NA><NA><NA><NA>960-1235<NA>130817서울특별시 동대문구 용두동 **-*번지 흥일빌딩 지하서울특별시 동대문구 청계천로 *** (용두동)130817문선사2012-05-02 14:24:07I2018-08-31 23:59:59.0<NA>203409.462014452635.777037인쇄사출판인쇄업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73050000CDFG125200198700000219871218<NA>3폐업3폐업20100304<NA><NA><NA>924-8295<NA>130823서울특별시 동대문구 용두동 ***-**번지<NA><NA>정명인쇄사2010-03-05 09:33:33I2018-08-31 23:59:59.0<NA>202454.321411452712.898925인쇄사출판인쇄업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83050000CDFG125200199400000119940312<NA>1영업/정상13영업중<NA><NA><NA><NA>927-7471<NA>130821서울특별시 동대문구 용두동 ***-***번지서울특별시 동대문구 천호대로**나길 ** (용두동)130821(주)성문당인쇄소2012-05-03 14:32:35I2018-08-31 23:59:59.0<NA>202794.742631452167.935126인쇄사출판인쇄업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93050000CDFG125200199600000119961119<NA>3폐업3폐업20021021<NA><NA><NA>245-9504<NA>130800서울특별시 동대문구 답십리동 *-**번지서울특별시 동대문구 한천로 *** (답십리동)130800아성인쇄2012-05-02 14:30:35I2018-08-31 23:59:59.0<NA>205812.928373452384.666803인쇄사출판인쇄업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
313050000CDFG125200201500000220150325<NA>3폐업3폐업20150331<NA><NA><NA>963-8356<NA>130830서울특별시 동대문구 이문동 ***-**번지서울특별시 동대문구 이문로 ***, *층 (이문동)130830도서출판창문2015-03-31 16:49:37I2018-08-31 23:59:59.0<NA>205231.1329454838.276911인쇄사출판인쇄업<NA><NA><NA>40.0<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>
323050000CDFG125200201500000320150331<NA>1영업/정상13영업중<NA><NA><NA><NA>963-8356<NA>130830서울특별시 동대문구 이문동 ***-**번지 *층서울특별시 동대문구 이문로 ***, *층 (이문동)130830경공동문회보2015-03-31 16:13:27I2018-08-31 23:59:59.0<NA>205231.1329454838.276911인쇄사출판인쇄업<NA><NA><NA>42.9<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
333050000CDFG125200201500000420150423<NA>1영업/정상13영업중<NA><NA><NA><NA>2234-0725<NA>130811서울특별시 동대문구 신설동 ***-**번지 ****호서울특별시 동대문구 청계천로 ***, ****호 (신설동)130811디자인붐 & 행정민원센터2015-04-23 10:22:39I2018-08-31 23:59:59.0<NA>202181.999386452138.418313인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
343050000CDFG125200201500000520151103<NA>3폐업3폐업20181128<NA><NA><NA>02-325-3691<NA><NA>서울특별시 동대문구 제기동 ****-**번지 중앙빌딩 ***호서울특별시 동대문구 왕산로**길 **, ***호 (제기동, 중앙빌딩)02576주식회사 북마크2018-11-28 17:06:30U2019-05-10 02:40:00.0<NA>202927.676413452980.941887인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
353050000CDFG125200201700000120170123<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 용두동 ***-**번지서울특별시 동대문구 천호대로**길 **, *층 (용두동)02583영진문화사2018-03-13 17:07:21I2018-08-31 23:59:59.0<NA>202582.400009452590.534662인쇄사출판인쇄업<NA><NA><NA>78.21<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
363050000CDFG125200201700000220170419<NA>1영업/정상13영업중<NA><NA><NA><NA>02-925-2866<NA><NA>서울특별시 동대문구 제기동 ***-**번지서울특별시 동대문구 약령시로 *, *층 (제기동, 교우빌딩)02574교우미디어2017-04-19 16:50:14I2018-08-31 23:59:59.0<NA>202635.500341453356.348264인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
373050000CDFG125200201700000320170523<NA>1영업/정상13영업중<NA><NA><NA><NA>02-961-7500<NA><NA>서울특별시 동대문구 회기동 **-**번지서울특별시 동대문구 경희대로 * (회기동)02453한다디자인2017-05-23 11:08:45I2018-08-31 23:59:59.0<NA>204578.917743454436.679457인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
383050000CDFG125200201700000420171109<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2246-0071<NA><NA>서울특별시 동대문구 장안동 ***-*번지서울특별시 동대문구 장한로 ***, *층 (장안동, 동광빌딩)02530사단법인 한국전통문화예술원2017-11-09 14:06:36I2018-08-31 23:59:59.0<NA>206237.158132452292.44908인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
393050000CDFG12520020170000052017-11-14<NA>3폐업3폐업2023-06-01<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 답십리동 **-*** 리더스빌딩서울특별시 동대문구 한천로 **, 리더스빌딩 *층 ***호 (답십리동)02617알시에2023-06-01 12:59:16U2022-12-06 00:03:00.0<NA>205329.099887451518.494317<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
403050000CDFG125200201800000120180704<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 용두동 ***-**번지서울특별시 동대문구 천호대로**길 **, *층 (용두동)02583사인맵2018-07-04 19:03:52I2018-08-31 23:59:59.0<NA>202582.400009452590.534662인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>