Overview

Dataset statistics

Number of variables56
Number of observations28
Missing cells757
Missing cells (%)48.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.6 KiB
Average record size in memory495.7 B

Variable types

Categorical18
Text5
DateTime3
Unsupported26
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
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-17856/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (77.8%)Imbalance
영업상태명 is highly imbalanced (77.8%)Imbalance
상세영업상태코드 is highly imbalanced (77.8%)Imbalance
상세영업상태명 is highly imbalanced (77.8%)Imbalance
폐업일자 is highly imbalanced (77.8%)Imbalance
총층수 is highly imbalanced (77.8%)Imbalance
지상층수 is highly imbalanced (72.1%)Imbalance
지하층수 is highly imbalanced (77.8%)Imbalance
통로너비 is highly imbalanced (77.8%)Imbalance
조명시설조도 is highly imbalanced (77.8%)Imbalance
노래방실수 is highly imbalanced (77.8%)Imbalance
청소년실수 is highly imbalanced (77.8%)Imbalance
총게임기수 is highly imbalanced (77.8%)Imbalance
인허가취소일자 has 28 (100.0%) missing valuesMissing
휴업시작일자 has 28 (100.0%) missing valuesMissing
휴업종료일자 has 28 (100.0%) missing valuesMissing
재개업일자 has 28 (100.0%) missing valuesMissing
전화번호 has 3 (10.7%) missing valuesMissing
소재지면적 has 28 (100.0%) missing valuesMissing
소재지우편번호 has 13 (46.4%) missing valuesMissing
도로명주소 has 2 (7.1%) missing valuesMissing
도로명우편번호 has 9 (32.1%) missing valuesMissing
업태구분명 has 28 (100.0%) missing valuesMissing
좌표정보(X) has 1 (3.6%) missing valuesMissing
좌표정보(Y) has 1 (3.6%) missing valuesMissing
주변환경명 has 28 (100.0%) missing valuesMissing
제작취급품목내용 has 28 (100.0%) missing valuesMissing
건물용도명 has 28 (100.0%) missing valuesMissing
비상계단여부 has 28 (100.0%) missing valuesMissing
비상구여부 has 28 (100.0%) missing valuesMissing
자동환기여부 has 28 (100.0%) missing valuesMissing
청소년실여부 has 28 (100.0%) missing valuesMissing
특수조명여부 has 28 (100.0%) missing valuesMissing
방음시설여부 has 28 (100.0%) missing valuesMissing
비디오재생기명 has 28 (100.0%) missing valuesMissing
조명시설유무 has 28 (100.0%) missing valuesMissing
음향시설여부 has 28 (100.0%) missing valuesMissing
편의시설여부 has 28 (100.0%) missing valuesMissing
소방시설여부 has 28 (100.0%) missing valuesMissing
기존게임업외업종명 has 28 (100.0%) missing valuesMissing
제공게임물명 has 28 (100.0%) missing valuesMissing
공연장형태구분명 has 28 (100.0%) missing valuesMissing
품목명 has 28 (100.0%) missing valuesMissing
최초등록시점 has 28 (100.0%) missing valuesMissing
지역구분명 has 28 (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
건물용도명 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
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 06:14:07.292787
Analysis finished2024-05-11 06:14:08.258954
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
3040000
28 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 28
100.0%

Length

2024-05-11T15:14:08.371009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:08.535886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 28
100.0%

관리번호
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-05-11T15:14:08.837707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters560
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

Unique28 ?
Unique (%)100.0%

Sample

1st rowCDFG1252001978000001
2nd rowCDFG1252001989000001
3rd rowCDFG1252001991000001
4th rowCDFG1252001995000001
5th rowCDFG1252002002000001
ValueCountFrequency (%)
cdfg1252001978000001 1
 
3.6%
cdfg1252001989000001 1
 
3.6%
cdfg1252002022000001 1
 
3.6%
cdfg1252002020000001 1
 
3.6%
cdfg1252002019000003 1
 
3.6%
cdfg1252002019000002 1
 
3.6%
cdfg1252002019000001 1
 
3.6%
cdfg1252002018000002 1
 
3.6%
cdfg1252002018000001 1
 
3.6%
cdfg1252002017000001 1
 
3.6%
Other values (18) 18
64.3%
2024-05-11T15:14:09.446342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 227
40.5%
2 95
17.0%
1 69
 
12.3%
5 31
 
5.5%
C 28
 
5.0%
D 28
 
5.0%
F 28
 
5.0%
G 28
 
5.0%
9 10
 
1.8%
8 5
 
0.9%
Other values (4) 11
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 448
80.0%
Uppercase Letter 112
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 227
50.7%
2 95
21.2%
1 69
 
15.4%
5 31
 
6.9%
9 10
 
2.2%
8 5
 
1.1%
3 4
 
0.9%
7 3
 
0.7%
4 3
 
0.7%
6 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
C 28
25.0%
D 28
25.0%
F 28
25.0%
G 28
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 448
80.0%
Latin 112
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 227
50.7%
2 95
21.2%
1 69
 
15.4%
5 31
 
6.9%
9 10
 
2.2%
8 5
 
1.1%
3 4
 
0.9%
7 3
 
0.7%
4 3
 
0.7%
6 1
 
0.2%
Latin
ValueCountFrequency (%)
C 28
25.0%
D 28
25.0%
F 28
25.0%
G 28
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 560
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 227
40.5%
2 95
17.0%
1 69
 
12.3%
5 31
 
5.5%
C 28
 
5.0%
D 28
 
5.0%
F 28
 
5.0%
G 28
 
5.0%
9 10
 
1.8%
8 5
 
0.9%
Other values (4) 11
 
2.0%

인허가일자
Date

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum1978-04-28 00:00:00
Maximum2022-07-18 00:00:00
2024-05-11T15:14:09.656828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:14:09.833833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
1
27 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
1 27
96.4%
5 1
 
3.6%

Length

2024-05-11T15:14:10.044399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:10.217987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 27
96.4%
5 1
 
3.6%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
영업/정상
27 
제외/삭제/전출
 
1

Length

Max length8
Median length5
Mean length5.1071429
Min length5

Unique

Unique1 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 27
96.4%
제외/삭제/전출 1
 
3.6%

Length

2024-05-11T15:14:10.421301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:10.587223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 27
96.4%
제외/삭제/전출 1
 
3.6%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
13
27 
15
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
13 27
96.4%
15 1
 
3.6%

Length

2024-05-11T15:14:10.727464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:10.875623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 27
96.4%
15 1
 
3.6%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
영업중
27 
전출
 
1

Length

Max length3
Median length3
Mean length2.9642857
Min length2

Unique

Unique1 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 27
96.4%
전출 1
 
3.6%

Length

2024-05-11T15:14:11.362094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:11.504867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 27
96.4%
전출 1
 
3.6%

폐업일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
27 
20220907
 
1

Length

Max length8
Median length4
Mean length4.1428571
Min length4

Unique

Unique1 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
96.4%
20220907 1
 
3.6%

Length

2024-05-11T15:14:11.669852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:11.818637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
96.4%
20220907 1
 
3.6%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

전화번호
Text

MISSING 

Distinct25
Distinct (%)100.0%
Missing3
Missing (%)10.7%
Memory size356.0 B
2024-05-11T15:14:12.060275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.6
Min length8

Characters and Unicode

Total characters265
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row444-8711
2nd row463-2594
3rd row469-5558
4th row463-1001
5th row02-452-5501~5
ValueCountFrequency (%)
463-2594 1
 
3.7%
02 1
 
3.7%
02-452-9824~5 1
 
3.7%
02-447-2043 1
 
3.7%
02-457-8016 1
 
3.7%
02-2279-8728 1
 
3.7%
024476211 1
 
3.7%
444-4882 1
 
3.7%
02-499-2200 1
 
3.7%
02-582-6200 1
 
3.7%
Other values (17) 17
63.0%
2024-05-11T15:14:12.658193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 44
16.6%
4 39
14.7%
- 39
14.7%
0 34
12.8%
5 21
7.9%
1 21
7.9%
6 16
 
6.0%
8 15
 
5.7%
3 12
 
4.5%
7 11
 
4.2%
Other values (3) 13
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 222
83.8%
Dash Punctuation 39
 
14.7%
Math Symbol 2
 
0.8%
Space Separator 2
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 44
19.8%
4 39
17.6%
0 34
15.3%
5 21
9.5%
1 21
9.5%
6 16
 
7.2%
8 15
 
6.8%
3 12
 
5.4%
7 11
 
5.0%
9 9
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 265
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 44
16.6%
4 39
14.7%
- 39
14.7%
0 34
12.8%
5 21
7.9%
1 21
7.9%
6 16
 
6.0%
8 15
 
5.7%
3 12
 
4.5%
7 11
 
4.2%
Other values (3) 13
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 265
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 44
16.6%
4 39
14.7%
- 39
14.7%
0 34
12.8%
5 21
7.9%
1 21
7.9%
6 16
 
6.0%
8 15
 
5.7%
3 12
 
4.5%
7 11
 
4.2%
Other values (3) 13
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)73.3%
Missing13
Missing (%)46.4%
Infinite0
Infinite (%)0.0%
Mean143863
Minimum143802
Maximum143926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-11T15:14:12.859857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum143802
5-th percentile143813.9
Q1143830
median143841
Q3143907
95-th percentile143918.3
Maximum143926
Range124
Interquartile range (IQR)77

Descriptive statistics

Standard deviation42.239115
Coefficient of variation (CV)0.00029360652
Kurtosis-1.5746133
Mean143863
Median Absolute Deviation (MAD)33
Skewness0.21514357
Sum2157945
Variance1784.1429
MonotonicityNot monotonic
2024-05-11T15:14:13.012218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
143841 3
 
10.7%
143915 2
 
7.1%
143819 2
 
7.1%
143911 1
 
3.6%
143802 1
 
3.6%
143874 1
 
3.6%
143878 1
 
3.6%
143822 1
 
3.6%
143838 1
 
3.6%
143903 1
 
3.6%
(Missing) 13
46.4%
ValueCountFrequency (%)
143802 1
 
3.6%
143819 2
7.1%
143822 1
 
3.6%
143838 1
 
3.6%
143841 3
10.7%
143874 1
 
3.6%
143878 1
 
3.6%
143903 1
 
3.6%
143911 1
 
3.6%
143915 2
7.1%
ValueCountFrequency (%)
143926 1
 
3.6%
143915 2
7.1%
143911 1
 
3.6%
143903 1
 
3.6%
143878 1
 
3.6%
143874 1
 
3.6%
143841 3
10.7%
143838 1
 
3.6%
143822 1
 
3.6%
143819 2
7.1%

지번주소
Text

Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-05-11T15:14:13.260150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length31
Mean length25.5
Min length19

Characters and Unicode

Total characters714
Distinct characters64
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

Unique23 ?
Unique (%)82.1%

Sample

1st row서울특별시 광진구 화양동 ***-**번지
2nd row서울특별시 광진구 중곡동 ***-*번지
3rd row서울특별시 광진구 자양동 *-**번지
4th row서울특별시 광진구 자양동 **-*번지
5th row서울특별시 광진구 자양동 ***-*번지 신성기업
ValueCountFrequency (%)
서울특별시 28
20.6%
광진구 28
20.6%
번지 19
14.0%
자양동 10
 
7.4%
9
 
6.6%
구의동 7
 
5.1%
화양동 4
 
2.9%
호 4
 
2.9%
중곡동 4
 
2.9%
cs 2
 
1.5%
Other values (20) 21
15.4%
2024-05-11T15:14:13.771777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 130
18.2%
128
17.9%
구 35
 
4.9%
서 30
 
4.2%
광 30
 
4.2%
울 30
 
4.2%
동 30
 
4.2%
진 29
 
4.1%
특 28
 
3.9%
별 28
 
3.9%
Other values (54) 216
30.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 414
58.0%
Other Punctuation 130
 
18.2%
Space Separator 128
 
17.9%
Dash Punctuation 26
 
3.6%
Uppercase Letter 16
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 35
 
8.5%
서 30
 
7.2%
광 30
 
7.2%
울 30
 
7.2%
동 30
 
7.2%
진 29
 
7.0%
특 28
 
6.8%
별 28
 
6.8%
시 28
 
6.8%
지 20
 
4.8%
Other values (44) 126
30.4%
Uppercase Letter
ValueCountFrequency (%)
A 4
25.0%
B 2
12.5%
C 2
12.5%
S 2
12.5%
Z 2
12.5%
P 2
12.5%
L 2
12.5%
Other Punctuation
ValueCountFrequency (%)
* 130
100.0%
Space Separator
ValueCountFrequency (%)
128
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 414
58.0%
Common 284
39.8%
Latin 16
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 35
 
8.5%
서 30
 
7.2%
광 30
 
7.2%
울 30
 
7.2%
동 30
 
7.2%
진 29
 
7.0%
특 28
 
6.8%
별 28
 
6.8%
시 28
 
6.8%
지 20
 
4.8%
Other values (44) 126
30.4%
Latin
ValueCountFrequency (%)
A 4
25.0%
B 2
12.5%
C 2
12.5%
S 2
12.5%
Z 2
12.5%
P 2
12.5%
L 2
12.5%
Common
ValueCountFrequency (%)
* 130
45.8%
128
45.1%
- 26
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 414
58.0%
ASCII 300
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 130
43.3%
128
42.7%
- 26
 
8.7%
A 4
 
1.3%
B 2
 
0.7%
C 2
 
0.7%
S 2
 
0.7%
Z 2
 
0.7%
P 2
 
0.7%
L 2
 
0.7%
Hangul
ValueCountFrequency (%)
구 35
 
8.5%
서 30
 
7.2%
광 30
 
7.2%
울 30
 
7.2%
동 30
 
7.2%
진 29
 
7.0%
특 28
 
6.8%
별 28
 
6.8%
시 28
 
6.8%
지 20
 
4.8%
Other values (44) 126
30.4%

도로명주소
Text

MISSING 

Distinct25
Distinct (%)96.2%
Missing2
Missing (%)7.1%
Memory size356.0 B
2024-05-11T15:14:14.069054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length35
Mean length31.346154
Min length23

Characters and Unicode

Total characters815
Distinct characters84
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

Unique24 ?
Unique (%)92.3%

Sample

1st row서울특별시 광진구 동일로 *** (중곡동)
2nd row서울특별시 광진구 아차산로**길 ** (자양동)
3rd row서울특별시 광진구 아차산로**길 ** (자양동)
4th row서울특별시 광진구 자양강변길 **, 신성기업 *층 (자양동)
5th row서울특별시 광진구 아차산로**길 *** (광장동,리버힐 오피스텔 ***호)
ValueCountFrequency (%)
서울특별시 26
16.4%
광진구 26
16.4%
26
16.4%
자양동 8
 
5.0%
호 7
 
4.4%
구의동 6
 
3.8%
중곡동 4
 
2.5%
자양로 4
 
2.5%
아차산로**길 4
 
2.5%
층 3
 
1.9%
Other values (37) 45
28.3%
2024-05-11T15:14:14.589683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
138
16.9%
* 111
 
13.6%
구 34
 
4.2%
동 32
 
3.9%
광 31
 
3.8%
서 28
 
3.4%
울 28
 
3.4%
진 27
 
3.3%
특 26
 
3.2%
별 26
 
3.2%
Other values (74) 334
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 475
58.3%
Space Separator 138
 
16.9%
Other Punctuation 129
 
15.8%
Close Punctuation 26
 
3.2%
Open Punctuation 26
 
3.2%
Uppercase Letter 18
 
2.2%
Dash Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 34
 
7.2%
동 32
 
6.7%
광 31
 
6.5%
서 28
 
5.9%
울 28
 
5.9%
진 27
 
5.7%
특 26
 
5.5%
별 26
 
5.5%
시 26
 
5.5%
로 25
 
5.3%
Other values (61) 192
40.4%
Uppercase Letter
ValueCountFrequency (%)
A 4
22.2%
B 4
22.2%
C 2
11.1%
S 2
11.1%
P 2
11.1%
L 2
11.1%
Z 2
11.1%
Other Punctuation
ValueCountFrequency (%)
* 111
86.0%
, 18
 
14.0%
Space Separator
ValueCountFrequency (%)
138
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 475
58.3%
Common 322
39.5%
Latin 18
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 34
 
7.2%
동 32
 
6.7%
광 31
 
6.5%
서 28
 
5.9%
울 28
 
5.9%
진 27
 
5.7%
특 26
 
5.5%
별 26
 
5.5%
시 26
 
5.5%
로 25
 
5.3%
Other values (61) 192
40.4%
Latin
ValueCountFrequency (%)
A 4
22.2%
B 4
22.2%
C 2
11.1%
S 2
11.1%
P 2
11.1%
L 2
11.1%
Z 2
11.1%
Common
ValueCountFrequency (%)
138
42.9%
* 111
34.5%
) 26
 
8.1%
( 26
 
8.1%
, 18
 
5.6%
- 3
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 475
58.3%
ASCII 340
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
138
40.6%
* 111
32.6%
) 26
 
7.6%
( 26
 
7.6%
, 18
 
5.3%
A 4
 
1.2%
B 4
 
1.2%
- 3
 
0.9%
C 2
 
0.6%
S 2
 
0.6%
Other values (3) 6
 
1.8%
Hangul
ValueCountFrequency (%)
구 34
 
7.2%
동 32
 
6.7%
광 31
 
6.5%
서 28
 
5.9%
울 28
 
5.9%
진 27
 
5.7%
특 26
 
5.5%
별 26
 
5.5%
시 26
 
5.5%
로 25
 
5.3%
Other values (61) 192
40.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)94.7%
Missing9
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean48869.211
Minimum4935
Maximum143926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-11T15:14:14.770828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4935
5-th percentile4937.7
Q15029.5
median5050
Q3143819
95-th percentile143905.3
Maximum143926
Range138991
Interquartile range (IQR)138789.5

Descriptive statistics

Standard deviation66300.291
Coefficient of variation (CV)1.3566884
Kurtosis-1.4185506
Mean48869.211
Median Absolute Deviation (MAD)48
Skewness0.86221274
Sum928515
Variance4.3957286 × 109
MonotonicityNot monotonic
2024-05-11T15:14:14.964339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
143819 2
 
7.1%
5035 1
 
3.6%
5050 1
 
3.6%
5032 1
 
3.6%
5021 1
 
3.6%
4988 1
 
3.6%
5048 1
 
3.6%
4935 1
 
3.6%
5070 1
 
3.6%
5088 1
 
3.6%
Other values (8) 8
28.6%
(Missing) 9
32.1%
ValueCountFrequency (%)
4935 1
3.6%
4938 1
3.6%
4988 1
3.6%
5021 1
3.6%
5027 1
3.6%
5032 1
3.6%
5035 1
3.6%
5039 1
3.6%
5048 1
3.6%
5050 1
3.6%
ValueCountFrequency (%)
143926 1
3.6%
143903 1
3.6%
143841 1
3.6%
143838 1
3.6%
143819 2
7.1%
5098 1
3.6%
5088 1
3.6%
5070 1
3.6%
5050 1
3.6%
5048 1
3.6%

사업장명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-05-11T15:14:15.222985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.8928571
Min length2

Characters and Unicode

Total characters193
Distinct characters91
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row동양칼라상사
2nd row의학인쇄사
3rd row동신문화사
4th row제문인쇄(주)
5th row신성기업사
ValueCountFrequency (%)
주식회사 5
 
13.5%
동양칼라상사 1
 
2.7%
칠성실업 1
 
2.7%
인쇄사 1
 
2.7%
한국광고시설물 1
 
2.7%
협동조합 1
 
2.7%
디자인불 1
 
2.7%
리베로앤 1
 
2.7%
㈜라이프사이언스 1
 
2.7%
모티브기획 1
 
2.7%
Other values (23) 23
62.2%
2024-05-11T15:14:15.676041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 13
 
6.7%
주 11
 
5.7%
9
 
4.7%
인 9
 
4.7%
) 6
 
3.1%
( 6
 
3.1%
스 6
 
3.1%
식 5
 
2.6%
문 5
 
2.6%
회 5
 
2.6%
Other values (81) 118
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 170
88.1%
Space Separator 9
 
4.7%
Close Punctuation 6
 
3.1%
Open Punctuation 6
 
3.1%
Other Symbol 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 13
 
7.6%
주 11
 
6.5%
인 9
 
5.3%
스 6
 
3.5%
식 5
 
2.9%
문 5
 
2.9%
회 5
 
2.9%
화 5
 
2.9%
쇄 4
 
2.4%
이 4
 
2.4%
Other values (77) 103
60.6%
Space Separator
ValueCountFrequency (%)
9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 172
89.1%
Common 21
 
10.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 13
 
7.6%
주 11
 
6.4%
인 9
 
5.2%
스 6
 
3.5%
식 5
 
2.9%
문 5
 
2.9%
회 5
 
2.9%
화 5
 
2.9%
쇄 4
 
2.3%
이 4
 
2.3%
Other values (78) 105
61.0%
Common
ValueCountFrequency (%)
9
42.9%
) 6
28.6%
( 6
28.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 170
88.1%
ASCII 21
 
10.9%
None 2
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 13
 
7.6%
주 11
 
6.5%
인 9
 
5.3%
스 6
 
3.5%
식 5
 
2.9%
문 5
 
2.9%
회 5
 
2.9%
화 5
 
2.9%
쇄 4
 
2.4%
이 4
 
2.4%
Other values (77) 103
60.6%
ASCII
ValueCountFrequency (%)
9
42.9%
) 6
28.6%
( 6
28.6%
None
ValueCountFrequency (%)
㈜ 2
100.0%

최종수정일자
Date

Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum2003-05-13 11:35:46
Maximum2024-04-17 17:03:40
2024-05-11T15:14:15.844423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:14:16.006509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

데이터갱신구분
Categorical

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
I
22 
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 22
78.6%
U 6
 
21.4%

Length

2024-05-11T15:14:16.169532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:16.320236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 22
78.6%
u 6
 
21.4%

데이터갱신일자
Date

Distinct14
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:09:00
2024-05-11T15:14:16.417481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:14:16.587867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)92.6%
Missing1
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean207083.33
Minimum205302.83
Maximum209668.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-11T15:14:16.781021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205302.83
5-th percentile205756.01
Q1206541.33
median207127.73
Q3207624.51
95-th percentile208232.99
Maximum209668.9
Range4366.07
Interquartile range (IQR)1083.1761

Descriptive statistics

Standard deviation935.90082
Coefficient of variation (CV)0.0045194406
Kurtosis0.96508933
Mean207083.33
Median Absolute Deviation (MAD)542.47969
Skewness0.43209519
Sum5591250
Variance875910.35
MonotonicityNot monotonic
2024-05-11T15:14:16.935376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
207521.138593258 2
 
7.1%
208232.99266682 2
 
7.1%
206487.014051877 1
 
3.6%
206911.56519903 1
 
3.6%
207737.995216693 1
 
3.6%
206671.631366842 1
 
3.6%
207187.077359658 1
 
3.6%
207897.590391352 1
 
3.6%
207578.808517811 1
 
3.6%
206120.623915253 1
 
3.6%
Other values (15) 15
53.6%
ValueCountFrequency (%)
205302.831227469 1
3.6%
205725.05528018 1
3.6%
205828.253476728 1
3.6%
205862.000101551 1
3.6%
206120.623915253 1
3.6%
206487.014051877 1
3.6%
206491.222568663 1
3.6%
206591.439362313 1
3.6%
206671.631366842 1
3.6%
206692.080244146 1
3.6%
ValueCountFrequency (%)
209668.90120464 1
3.6%
208232.99266682 2
7.1%
207897.590391352 1
3.6%
207795.717394063 1
3.6%
207737.995216693 1
3.6%
207670.205640744 1
3.6%
207578.808517811 1
3.6%
207563.36215479 1
3.6%
207521.138593258 2
7.1%
207358.331271995 1
3.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)92.6%
Missing1
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean449251.82
Minimum447694.23
Maximum451925.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-11T15:14:17.143643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447694.23
5-th percentile448052.65
Q1448489.07
median448801.8
Q3449657.68
95-th percentile451426.99
Maximum451925.04
Range4230.8105
Interquartile range (IQR)1168.6007

Descriptive statistics

Standard deviation1155.1644
Coefficient of variation (CV)0.0025713071
Kurtosis0.069298974
Mean449251.82
Median Absolute Deviation (MAD)507.8379
Skewness1.0015637
Sum12129799
Variance1334404.8
MonotonicityNot monotonic
2024-05-11T15:14:17.408463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
448140.060770707 2
 
7.1%
448688.329238784 2
 
7.1%
449309.634102738 1
 
3.6%
448419.983651625 1
 
3.6%
449092.932240734 1
 
3.6%
449257.741219082 1
 
3.6%
450084.995700564 1
 
3.6%
448338.35599465 1
 
3.6%
451294.313767808 1
 
3.6%
448158.641460407 1
 
3.6%
Other values (15) 15
53.6%
ValueCountFrequency (%)
447694.23236923 1
3.6%
448015.191754057 1
3.6%
448140.060770707 2
7.1%
448158.641460407 1
3.6%
448338.35599465 1
3.6%
448419.983651625 1
3.6%
448558.165746377 1
3.6%
448575.453228821 1
3.6%
448679.359538175 1
3.6%
448688.329238784 2
7.1%
ValueCountFrequency (%)
451925.04287602 1
3.6%
451483.851603106 1
3.6%
451294.313767808 1
3.6%
451180.215983673 1
3.6%
450693.012109678 1
3.6%
450084.995700564 1
3.6%
449767.964721034 1
3.6%
449547.386071252 1
3.6%
449309.634102738 1
3.6%
449308.442740745 1
3.6%

문화체육업종명
Categorical

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
인쇄사
24 
<NA>
4 

Length

Max length4
Median length3
Mean length3.1428571
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인쇄사 24
85.7%
<NA> 4
 
14.3%

Length

2024-05-11T15:14:17.586761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:17.748062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인쇄사 24
85.7%
na 4
 
14.3%

문화사업자구분명
Categorical

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
출판인쇄업
24 
<NA>
4 

Length

Max length5
Median length5
Mean length4.8571429
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판인쇄업 24
85.7%
<NA> 4
 
14.3%

Length

2024-05-11T15:14:17.950045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:18.135007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 24
85.7%
na 4
 
14.3%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
27 
0
 
1

Length

Max length4
Median length4
Mean length3.8928571
Min length1

Unique

Unique1 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
96.4%
0 1
 
3.6%

Length

2024-05-11T15:14:18.323011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:18.445127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
96.4%
0 1
 
3.6%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

시설면적
Categorical

Distinct3
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
22 
0
5 
159
 
1

Length

Max length4
Median length4
Mean length3.4285714
Min length1

Unique

Unique1 ?
Unique (%)3.6%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 22
78.6%
0 5
 
17.9%
159 1
 
3.6%

Length

2024-05-11T15:14:18.584985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:18.705227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
78.6%
0 5
 
17.9%
159 1
 
3.6%

지상층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
26 
0
 
1
2
 
1

Length

Max length4
Median length4
Mean length3.7857143
Min length1

Unique

Unique2 ?
Unique (%)7.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
92.9%
0 1
 
3.6%
2 1
 
3.6%

Length

2024-05-11T15:14:18.830445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:18.959340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
92.9%
0 1
 
3.6%
2 1
 
3.6%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
27 
0
 
1

Length

Max length4
Median length4
Mean length3.8928571
Min length1

Unique

Unique1 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
96.4%
0 1
 
3.6%

Length

2024-05-11T15:14:19.102166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:19.238546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
96.4%
0 1
 
3.6%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
27 
0
 
1

Length

Max length4
Median length4
Mean length3.8928571
Min length1

Unique

Unique1 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
96.4%
0 1
 
3.6%

Length

2024-05-11T15:14:19.382758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:19.526988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
96.4%
0 1
 
3.6%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
27 
0
 
1

Length

Max length4
Median length4
Mean length3.8928571
Min length1

Unique

Unique1 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
96.4%
0 1
 
3.6%

Length

2024-05-11T15:14:19.722479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:19.847297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
96.4%
0 1
 
3.6%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
27 
0
 
1

Length

Max length4
Median length4
Mean length3.8928571
Min length1

Unique

Unique1 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
96.4%
0 1
 
3.6%

Length

2024-05-11T15:14:19.969184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:20.097413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
96.4%
0 1
 
3.6%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
27 
0
 
1

Length

Max length4
Median length4
Mean length3.8928571
Min length1

Unique

Unique1 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
96.4%
0 1
 
3.6%

Length

2024-05-11T15:14:20.248155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:20.420481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
96.4%
0 1
 
3.6%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
27 
0
 
1

Length

Max length4
Median length4
Mean length3.8928571
Min length1

Unique

Unique1 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
96.4%
0 1
 
3.6%

Length

2024-05-11T15:14:20.616442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:20.779205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
96.4%
0 1
 
3.6%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03040000CDFG125200197800000119780428<NA>1영업/정상13영업중<NA><NA><NA><NA>444-8711<NA>143915서울특별시 광진구 화양동 ***-**번지<NA><NA>동양칼라상사2003-05-13 11:35:46I2018-08-31 23:59:59.0<NA>206487.014052449309.634103인쇄사출판인쇄업<NA><NA><NA>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>
13040000CDFG125200198900000119890522<NA>1영업/정상13영업중<NA><NA><NA><NA>463-2594<NA>143911서울특별시 광진구 중곡동 ***-*번지서울특별시 광진구 동일로 *** (중곡동)<NA>의학인쇄사2003-05-13 11:35:46I2018-08-31 23:59:59.0<NA>206591.439362451180.215984인쇄사출판인쇄업<NA><NA><NA>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>
23040000CDFG125200199100000119911102<NA>1영업/정상13영업중<NA><NA><NA><NA>469-5558<NA>143841서울특별시 광진구 자양동 *-**번지서울특별시 광진구 아차산로**길 ** (자양동)<NA>동신문화사2003-05-13 11:35:46I2018-08-31 23:59:59.0<NA>205828.253477448575.453229인쇄사출판인쇄업<NA><NA><NA>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>
33040000CDFG125200199500000119951220<NA>1영업/정상13영업중<NA><NA><NA><NA>463-1001<NA>143841서울특별시 광진구 자양동 **-*번지서울특별시 광진구 아차산로**길 ** (자양동)<NA>제문인쇄(주)2003-05-13 11:35:46I2018-08-31 23:59:59.0<NA>205725.05528448679.359538인쇄사출판인쇄업<NA><NA><NA>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>
43040000CDFG125200200200000120020508<NA>1영업/정상13영업중<NA><NA><NA><NA>02-452-5501~5<NA><NA>서울특별시 광진구 자양동 ***-*번지 신성기업서울특별시 광진구 자양강변길 **, 신성기업 *층 (자양동)5088신성기업사2020-05-27 15:04:49I2020-05-29 00:23:19.0<NA>205302.831227448015.191754인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53040000CDFG125200200800000120080704<NA>1영업/정상13영업중<NA><NA><NA><NA>447-6411<NA>143915서울특별시 광진구 화양동 ***-*번지<NA><NA>(주)경혜인쇄2008-07-04 15:08:20I2018-08-31 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>
63040000CDFG125200201000000120100125<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2267-6254<NA>143802서울특별시 광진구 광장동 *** 리버힐 오피스텔 ***호서울특별시 광진구 아차산로**길 *** (광장동,리버힐 오피스텔 ***호)<NA>청우2021-12-10 15:14:00U2021-12-12 02:40:00.0<NA>209668.901205449767.964721인쇄사출판인쇄업0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
73040000CDFG125200201000000320100413<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2024-3314<NA>143874서울특별시 광진구 자양동 ***-** 동서울우편집중국내서울특별시 광진구 자양로 ** (자양동,동서울우편집중국내)<NA>빌포스트(주)2021-11-10 08:30:01U2021-11-12 02:40:00.0<NA>207521.138593448140.060771인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83040000CDFG125200201000000620031108<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3437-3521<NA>143878서울특별시 광진구 자양동 ***-**번지 반도아트빌라 B- *호서울특별시 광진구 자양로**길 **, *호 (자양동,반도아트빌라 B-)<NA>준프린팅2010-07-28 16:42:35I2018-08-31 23:59:59.0<NA>207127.725956448558.165746인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
183040000CDFG125200201500000220120103<NA>1영업/정상13영업중<NA><NA><NA><NA>02-582-6200<NA><NA>서울특별시 광진구 구의동 ***-***번지 ***호서울특별시 광진구 자양로 ***, ***호 (구의동, 아델리아 구의타워)5039디자인불2015-09-09 16:50:57I2018-08-31 23:59:59.0<NA>207358.331272448801.796198인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
193040000CDFG125200201700000120171031<NA>1영업/정상13영업중<NA><NA><NA><NA>02-499-2200<NA><NA>서울특별시 광진구 중곡동 ***-*번지서울특별시 광진구 용마산로 ***, ***호 (중곡동)4938주식회사 리베로앤2017-10-31 10:30:57I2018-08-31 23:59:59.0<NA>207563.362155451925.042876인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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213040000CDFG125200201800000220181029<NA>1영업/정상13영업중<NA><NA><NA><NA>024476211<NA><NA>서울특별시 광진구 자양동 ***번지 한라아파트서울특별시 광진구 뚝섬로**길 *, 한라아파트 ***호 (자양동)5070㈜라이프사이언스2018-10-29 09:01:42I2018-10-31 02:36:32.0<NA>206120.623915448158.64146인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
223040000CDFG125200201900000120141222<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2279-8728<NA><NA>서울특별시 광진구 중곡동 **-* 길풍빌딩 ***호서울특별시 광진구 용마산로 ***, 길풍빌딩 ***호 (중곡동)4935대한컴퍼니2020-08-06 10:37:54U2020-08-08 02:40:00.0<NA>207578.808518451294.313768인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
233040000CDFG125200201900000220190412<NA>1영업/정상13영업중<NA><NA><NA><NA>02-457-8016<NA><NA>서울특별시 광진구 구의동 ***번지 광진우체국서울특별시 광진구 강변역로 *, 광진우체국 B동 *층 (구의동)5048㈜포스토피아2019-04-12 18:48:14I2019-04-14 02:20:20.0<NA>207897.590391448338.355995인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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