Overview

Dataset statistics

Number of variables56
Number of observations24
Missing cells756
Missing cells (%)56.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.6 KiB
Average record size in memory493.5 B

Variable types

Categorical14
Text7
DateTime2
Unsupported28
Numeric5

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author양천구
URLhttps://data.seoul.go.kr/dataList/OA-17866/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
데이터갱신구분 has constant value ""Constant
주변환경명 has constant value ""Constant
지역구분명 has constant value ""Constant
영업상태코드 is highly imbalanced (50.5%)Imbalance
영업상태명 is highly imbalanced (50.5%)Imbalance
상세영업상태코드 is highly imbalanced (50.5%)Imbalance
상세영업상태명 is highly imbalanced (50.5%)Imbalance
폐업일자 is highly imbalanced (62.9%)Imbalance
데이터갱신일자 is highly imbalanced (52.7%)Imbalance
총층수 is highly imbalanced (75.0%)Imbalance
지상층수 is highly imbalanced (62.9%)Imbalance
지하층수 is highly imbalanced (58.6%)Imbalance
인허가취소일자 has 24 (100.0%) missing valuesMissing
휴업시작일자 has 24 (100.0%) missing valuesMissing
휴업종료일자 has 24 (100.0%) missing valuesMissing
재개업일자 has 24 (100.0%) missing valuesMissing
전화번호 has 6 (25.0%) missing valuesMissing
소재지면적 has 24 (100.0%) missing valuesMissing
소재지우편번호 has 6 (25.0%) missing valuesMissing
도로명주소 has 1 (4.2%) missing valuesMissing
도로명우편번호 has 6 (25.0%) missing valuesMissing
업태구분명 has 24 (100.0%) missing valuesMissing
좌표정보(X) has 1 (4.2%) missing valuesMissing
좌표정보(Y) has 1 (4.2%) missing valuesMissing
주변환경명 has 23 (95.8%) missing valuesMissing
제작취급품목내용 has 24 (100.0%) missing valuesMissing
시설면적 has 17 (70.8%) missing valuesMissing
통로너비 has 24 (100.0%) missing valuesMissing
조명시설조도 has 24 (100.0%) missing valuesMissing
노래방실수 has 24 (100.0%) missing valuesMissing
청소년실수 has 24 (100.0%) missing valuesMissing
비상계단여부 has 24 (100.0%) missing valuesMissing
비상구여부 has 24 (100.0%) missing valuesMissing
자동환기여부 has 24 (100.0%) missing valuesMissing
청소년실여부 has 24 (100.0%) missing valuesMissing
특수조명여부 has 24 (100.0%) missing valuesMissing
방음시설여부 has 24 (100.0%) missing valuesMissing
비디오재생기명 has 24 (100.0%) missing valuesMissing
조명시설유무 has 24 (100.0%) missing valuesMissing
음향시설여부 has 24 (100.0%) missing valuesMissing
편의시설여부 has 24 (100.0%) missing valuesMissing
소방시설여부 has 24 (100.0%) missing valuesMissing
총게임기수 has 24 (100.0%) missing valuesMissing
기존게임업외업종명 has 24 (100.0%) missing valuesMissing
제공게임물명 has 24 (100.0%) missing valuesMissing
공연장형태구분명 has 24 (100.0%) missing valuesMissing
품목명 has 24 (100.0%) missing valuesMissing
최초등록시점 has 24 (100.0%) missing valuesMissing
지역구분명 has 23 (95.8%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
시설면적 has 1 (4.2%) zerosZeros

Reproduction

Analysis started2024-05-11 05:57:39.633111
Analysis finished2024-05-11 05:57:40.800559
Duration1.17 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
3140000
24 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3140000
2nd row3140000
3rd row3140000
4th row3140000
5th row3140000

Common Values

ValueCountFrequency (%)
3140000 24
100.0%

Length

2024-05-11T14:57:40.915446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:41.078877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3140000 24
100.0%

관리번호
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-05-11T14:57:41.397347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters480
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

Unique24 ?
Unique (%)100.0%

Sample

1st rowCDFG1252001991000001
2nd rowCDFG1252001994000001
3rd rowCDFG1252001994000002
4th rowCDFG1252002002000001
5th rowCDFG1252002002000002
ValueCountFrequency (%)
cdfg1252001991000001 1
 
4.2%
cdfg1252001994000001 1
 
4.2%
cdfg1252002024000001 1
 
4.2%
cdfg1252002023000001 1
 
4.2%
cdfg1252002021000001 1
 
4.2%
cdfg1252002019000001 1
 
4.2%
cdfg1252002018000001 1
 
4.2%
cdfg1252002012000001 1
 
4.2%
cdfg1252002010000004 1
 
4.2%
cdfg1252002010000003 1
 
4.2%
Other values (14) 14
58.3%
2024-05-11T14:57:42.232908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 203
42.3%
2 81
 
16.9%
1 50
 
10.4%
5 26
 
5.4%
C 24
 
5.0%
D 24
 
5.0%
F 24
 
5.0%
G 24
 
5.0%
9 7
 
1.5%
4 7
 
1.5%
Other values (4) 10
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 384
80.0%
Uppercase Letter 96
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 203
52.9%
2 81
 
21.1%
1 50
 
13.0%
5 26
 
6.8%
9 7
 
1.8%
4 7
 
1.8%
3 4
 
1.0%
7 4
 
1.0%
6 1
 
0.3%
8 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
C 24
25.0%
D 24
25.0%
F 24
25.0%
G 24
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 384
80.0%
Latin 96
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 203
52.9%
2 81
 
21.1%
1 50
 
13.0%
5 26
 
6.8%
9 7
 
1.8%
4 7
 
1.8%
3 4
 
1.0%
7 4
 
1.0%
6 1
 
0.3%
8 1
 
0.3%
Latin
ValueCountFrequency (%)
C 24
25.0%
D 24
25.0%
F 24
25.0%
G 24
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 480
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 203
42.3%
2 81
 
16.9%
1 50
 
10.4%
5 26
 
5.4%
C 24
 
5.0%
D 24
 
5.0%
F 24
 
5.0%
G 24
 
5.0%
9 7
 
1.5%
4 7
 
1.5%
Other values (4) 10
 
2.1%

인허가일자
Date

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum1991-03-22 00:00:00
Maximum2024-03-22 00:00:00
2024-05-11T14:57:42.578779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:57:42.772463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
1
20 
3
3 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 20
83.3%
3 3
 
12.5%
4 1
 
4.2%

Length

2024-05-11T14:57:42.987314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:43.163920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 20
83.3%
3 3
 
12.5%
4 1
 
4.2%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
영업/정상
20 
폐업
3 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length5
Min length2

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 20
83.3%
폐업 3
 
12.5%
취소/말소/만료/정지/중지 1
 
4.2%

Length

2024-05-11T14:57:43.337785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:43.580181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 20
83.3%
폐업 3
 
12.5%
취소/말소/만료/정지/중지 1
 
4.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
13
20 
3
3 
31
 
1

Length

Max length2
Median length2
Mean length1.875
Min length1

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
13 20
83.3%
3 3
 
12.5%
31 1
 
4.2%

Length

2024-05-11T14:57:43.774743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:43.950919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 20
83.3%
3 3
 
12.5%
31 1
 
4.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
영업중
20 
폐업
3 
등록취소
 
1

Length

Max length4
Median length3
Mean length2.9166667
Min length2

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 20
83.3%
폐업 3
 
12.5%
등록취소 1
 
4.2%

Length

2024-05-11T14:57:44.207917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:44.412559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 20
83.3%
폐업 3
 
12.5%
등록취소 1
 
4.2%

폐업일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
21 
20130612
 
1
20080930
 
1
20110210
 
1

Length

Max length8
Median length4
Mean length4.5
Min length4

Unique

Unique3 ?
Unique (%)12.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
87.5%
20130612 1
 
4.2%
20080930 1
 
4.2%
20110210 1
 
4.2%

Length

2024-05-11T14:57:44.621496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:44.805738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
87.5%
20130612 1
 
4.2%
20080930 1
 
4.2%
20110210 1
 
4.2%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

전화번호
Text

MISSING 

Distinct17
Distinct (%)94.4%
Missing6
Missing (%)25.0%
Memory size324.0 B
2024-05-11T14:57:45.061697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.166667
Min length8

Characters and Unicode

Total characters183
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)88.9%

Sample

1st row2695-3622
2nd row2606-2736
3rd row2690-0044
4th row2695-3622
5th row02-2655-0761
ValueCountFrequency (%)
2695-3622 2
 
11.1%
02-2607-7341 1
 
5.6%
2603-9849 1
 
5.6%
718-6252 1
 
5.6%
02)718-6258 1
 
5.6%
02-2604-1479 1
 
5.6%
02-2644-3020 1
 
5.6%
07043544207 1
 
5.6%
2645-5482 1
 
5.6%
2690-0044 1
 
5.6%
Other values (7) 7
38.9%
2024-05-11T14:57:45.615097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 37
20.2%
0 28
15.3%
6 25
13.7%
- 22
12.0%
4 15
8.2%
5 13
 
7.1%
7 11
 
6.0%
3 9
 
4.9%
1 9
 
4.9%
9 7
 
3.8%
Other values (2) 7
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 160
87.4%
Dash Punctuation 22
 
12.0%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 37
23.1%
0 28
17.5%
6 25
15.6%
4 15
9.4%
5 13
 
8.1%
7 11
 
6.9%
3 9
 
5.6%
1 9
 
5.6%
9 7
 
4.4%
8 6
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 183
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 37
20.2%
0 28
15.3%
6 25
13.7%
- 22
12.0%
4 15
8.2%
5 13
 
7.1%
7 11
 
6.0%
3 9
 
4.9%
1 9
 
4.9%
9 7
 
3.8%
Other values (2) 7
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 183
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 37
20.2%
0 28
15.3%
6 25
13.7%
- 22
12.0%
4 15
8.2%
5 13
 
7.1%
7 11
 
6.0%
3 9
 
4.9%
1 9
 
4.9%
9 7
 
3.8%
Other values (2) 7
 
3.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)66.7%
Missing6
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean158826
Minimum158701
Maximum158861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T14:57:45.874030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum158701
5-th percentile158790.25
Q1158820.25
median158834.5
Q3158845.5
95-th percentile158855.9
Maximum158861
Range160
Interquartile range (IQR)25.25

Descriptive statistics

Standard deviation34.978985
Coefficient of variation (CV)0.00022023463
Kurtosis10.241345
Mean158826
Median Absolute Deviation (MAD)12.5
Skewness-2.8899471
Sum2858868
Variance1223.5294
MonotonicityNot monotonic
2024-05-11T14:57:46.099321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
158838 3
12.5%
158847 3
12.5%
158831 2
 
8.3%
158806 2
 
8.3%
158824 1
 
4.2%
158861 1
 
4.2%
158819 1
 
4.2%
158855 1
 
4.2%
158701 1
 
4.2%
158811 1
 
4.2%
Other values (2) 2
 
8.3%
(Missing) 6
25.0%
ValueCountFrequency (%)
158701 1
 
4.2%
158806 2
8.3%
158811 1
 
4.2%
158819 1
 
4.2%
158824 1
 
4.2%
158827 1
 
4.2%
158831 2
8.3%
158838 3
12.5%
158841 1
 
4.2%
158847 3
12.5%
ValueCountFrequency (%)
158861 1
 
4.2%
158855 1
 
4.2%
158847 3
12.5%
158841 1
 
4.2%
158838 3
12.5%
158831 2
8.3%
158827 1
 
4.2%
158824 1
 
4.2%
158819 1
 
4.2%
158811 1
 
4.2%

지번주소
Text

Distinct19
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-05-11T14:57:46.385008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length25.291667
Min length19

Characters and Unicode

Total characters607
Distinct characters41
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

Unique16 ?
Unique (%)66.7%

Sample

1st row서울특별시 양천구 신월동 ***-**번지
2nd row서울특별시 양천구 신월동 ***-*번지
3rd row서울특별시 양천구 신월동 **-*번지
4th row서울특별시 양천구 신월동 ***-**번지
5th row서울특별시 양천구 신정동 ****-*번지 현대프라자***호
ValueCountFrequency (%)
서울특별시 24
21.1%
양천구 24
21.1%
번지 20
17.5%
신월동 15
13.2%
층 7
 
6.1%
목동 7
 
6.1%
4
 
3.5%
호 3
 
2.6%
신정동 2
 
1.8%
지층 2
 
1.8%
Other values (6) 6
 
5.3%
2024-05-11T14:57:46.944865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 135
22.2%
109
18.0%
서 24
 
4.0%
특 24
 
4.0%
별 24
 
4.0%
시 24
 
4.0%
양 24
 
4.0%
천 24
 
4.0%
구 24
 
4.0%
울 24
 
4.0%
Other values (31) 171
28.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 338
55.7%
Other Punctuation 136
22.4%
Space Separator 109
 
18.0%
Dash Punctuation 24
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 24
 
7.1%
특 24
 
7.1%
별 24
 
7.1%
시 24
 
7.1%
양 24
 
7.1%
천 24
 
7.1%
구 24
 
7.1%
울 24
 
7.1%
동 24
 
7.1%
지 23
 
6.8%
Other values (27) 99
29.3%
Other Punctuation
ValueCountFrequency (%)
* 135
99.3%
. 1
 
0.7%
Space Separator
ValueCountFrequency (%)
109
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 338
55.7%
Common 269
44.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 24
 
7.1%
특 24
 
7.1%
별 24
 
7.1%
시 24
 
7.1%
양 24
 
7.1%
천 24
 
7.1%
구 24
 
7.1%
울 24
 
7.1%
동 24
 
7.1%
지 23
 
6.8%
Other values (27) 99
29.3%
Common
ValueCountFrequency (%)
* 135
50.2%
109
40.5%
- 24
 
8.9%
. 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 338
55.7%
ASCII 269
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 135
50.2%
109
40.5%
- 24
 
8.9%
. 1
 
0.4%
Hangul
ValueCountFrequency (%)
서 24
 
7.1%
특 24
 
7.1%
별 24
 
7.1%
시 24
 
7.1%
양 24
 
7.1%
천 24
 
7.1%
구 24
 
7.1%
울 24
 
7.1%
동 24
 
7.1%
지 23
 
6.8%
Other values (27) 99
29.3%

도로명주소
Text

MISSING 

Distinct22
Distinct (%)95.7%
Missing1
Missing (%)4.2%
Memory size324.0 B
2024-05-11T14:57:47.275232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length32
Mean length29.434783
Min length22

Characters and Unicode

Total characters677
Distinct characters57
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)91.3%

Sample

1st row서울특별시 양천구 중앙로 *** (신월동)
2nd row서울특별시 양천구 오목로**길 *-** (신월동)
3rd row서울특별시 양천구 월정로**길 * (신월동)
4th row서울특별시 양천구 중앙로 *** (신월동)
5th row서울특별시 양천구 중앙로**길 ** (신정동,현대프라자***호)
ValueCountFrequency (%)
서울특별시 23
17.4%
23
17.4%
양천구 23
17.4%
신월동 14
10.6%
층 7
 
5.3%
목동 6
 
4.5%
월정로**길 3
 
2.3%
호 3
 
2.3%
오목로 2
 
1.5%
지층 2
 
1.5%
Other values (23) 26
19.7%
2024-05-11T14:57:47.876864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
16.8%
* 103
 
15.2%
동 31
 
4.6%
서 25
 
3.7%
양 24
 
3.5%
특 23
 
3.4%
별 23
 
3.4%
시 23
 
3.4%
천 23
 
3.4%
구 23
 
3.4%
Other values (47) 265
39.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 394
58.2%
Other Punctuation 119
 
17.6%
Space Separator 114
 
16.8%
Open Punctuation 23
 
3.4%
Close Punctuation 23
 
3.4%
Dash Punctuation 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 31
 
7.9%
서 25
 
6.3%
양 24
 
6.1%
특 23
 
5.8%
별 23
 
5.8%
시 23
 
5.8%
천 23
 
5.8%
구 23
 
5.8%
울 23
 
5.8%
로 23
 
5.8%
Other values (41) 153
38.8%
Other Punctuation
ValueCountFrequency (%)
* 103
86.6%
, 16
 
13.4%
Space Separator
ValueCountFrequency (%)
114
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 394
58.2%
Common 283
41.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 31
 
7.9%
서 25
 
6.3%
양 24
 
6.1%
특 23
 
5.8%
별 23
 
5.8%
시 23
 
5.8%
천 23
 
5.8%
구 23
 
5.8%
울 23
 
5.8%
로 23
 
5.8%
Other values (41) 153
38.8%
Common
ValueCountFrequency (%)
114
40.3%
* 103
36.4%
( 23
 
8.1%
) 23
 
8.1%
, 16
 
5.7%
- 4
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 394
58.2%
ASCII 283
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
40.3%
* 103
36.4%
( 23
 
8.1%
) 23
 
8.1%
, 16
 
5.7%
- 4
 
1.4%
Hangul
ValueCountFrequency (%)
동 31
 
7.9%
서 25
 
6.3%
양 24
 
6.1%
특 23
 
5.8%
별 23
 
5.8%
시 23
 
5.8%
천 23
 
5.8%
구 23
 
5.8%
울 23
 
5.8%
로 23
 
5.8%
Other values (41) 153
38.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)83.3%
Missing6
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean108525.89
Minimum7912
Maximum158847
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T14:57:48.131669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7912
5-th percentile7912
Q17960.25
median158815
Q3158836.25
95-th percentile158847
Maximum158847
Range150935
Interquartile range (IQR)150876

Descriptive statistics

Standard deviation73187.478
Coefficient of variation (CV)0.67437806
Kurtosis-1.5937493
Mean108525.89
Median Absolute Deviation (MAD)29
Skewness-0.77308184
Sum1953466
Variance5.356407 × 109
MonotonicityNot monotonic
2024-05-11T14:57:48.330437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
158838 2
 
8.3%
158847 2
 
8.3%
7912 2
 
8.3%
158824 1
 
4.2%
158819 1
 
4.2%
158831 1
 
4.2%
158701 1
 
4.2%
158811 1
 
4.2%
158806 1
 
4.2%
158841 1
 
4.2%
Other values (5) 5
20.8%
(Missing) 6
25.0%
ValueCountFrequency (%)
7912 2
8.3%
7932 1
4.2%
7935 1
4.2%
7948 1
4.2%
7997 1
4.2%
158701 1
4.2%
158806 1
4.2%
158811 1
4.2%
158819 1
4.2%
158824 1
4.2%
ValueCountFrequency (%)
158847 2
8.3%
158841 1
4.2%
158838 2
8.3%
158831 1
4.2%
158827 1
4.2%
158824 1
4.2%
158819 1
4.2%
158811 1
4.2%
158806 1
4.2%
158701 1
4.2%

사업장명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-05-11T14:57:48.696521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.125
Min length2

Characters and Unicode

Total characters147
Distinct characters78
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

Unique24 ?
Unique (%)100.0%

Sample

1st row신영인쇄(주)
2nd row양천문화인쇄사
3rd row한국문화인쇄공사
4th row대주인쇄(주)
5th row(주)뉴스앤조이
ValueCountFrequency (%)
신영인쇄(주 1
 
3.6%
양천문화인쇄사 1
 
3.6%
대지 1
 
3.6%
선인 1
 
3.6%
도서출판 1
 
3.6%
블루앤노트 1
 
3.6%
정상기획인쇄 1
 
3.6%
두현 1
 
3.6%
dn 1
 
3.6%
성광실업 1
 
3.6%
Other values (18) 18
64.3%
2024-05-11T14:57:49.390435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 10
 
6.8%
쇄 9
 
6.1%
주 8
 
5.4%
( 6
 
4.1%
) 6
 
4.1%
업 6
 
4.1%
이 4
 
2.7%
4
 
2.7%
사 4
 
2.7%
스 3
 
2.0%
Other values (68) 87
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 125
85.0%
Open Punctuation 6
 
4.1%
Close Punctuation 6
 
4.1%
Space Separator 4
 
2.7%
Lowercase Letter 4
 
2.7%
Uppercase Letter 2
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 10
 
8.0%
쇄 9
 
7.2%
주 8
 
6.4%
업 6
 
4.8%
이 4
 
3.2%
사 4
 
3.2%
스 3
 
2.4%
산 3
 
2.4%
대 3
 
2.4%
문 3
 
2.4%
Other values (59) 72
57.6%
Lowercase Letter
ValueCountFrequency (%)
c 1
25.0%
o 1
25.0%
m 1
25.0%
e 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
50.0%
N 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 125
85.0%
Common 16
 
10.9%
Latin 6
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 10
 
8.0%
쇄 9
 
7.2%
주 8
 
6.4%
업 6
 
4.8%
이 4
 
3.2%
사 4
 
3.2%
스 3
 
2.4%
산 3
 
2.4%
대 3
 
2.4%
문 3
 
2.4%
Other values (59) 72
57.6%
Latin
ValueCountFrequency (%)
D 1
16.7%
N 1
16.7%
c 1
16.7%
o 1
16.7%
m 1
16.7%
e 1
16.7%
Common
ValueCountFrequency (%)
( 6
37.5%
) 6
37.5%
4
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 125
85.0%
ASCII 22
 
15.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 10
 
8.0%
쇄 9
 
7.2%
주 8
 
6.4%
업 6
 
4.8%
이 4
 
3.2%
사 4
 
3.2%
스 3
 
2.4%
산 3
 
2.4%
대 3
 
2.4%
문 3
 
2.4%
Other values (59) 72
57.6%
ASCII
ValueCountFrequency (%)
( 6
27.3%
) 6
27.3%
4
18.2%
D 1
 
4.5%
N 1
 
4.5%
c 1
 
4.5%
o 1
 
4.5%
m 1
 
4.5%
e 1
 
4.5%

최종수정일자
Date

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2002-10-22 17:51:52
Maximum2024-03-22 16:35:01
2024-05-11T14:57:49.588045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:57:49.877415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

데이터갱신구분
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
I
24 

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 24
100.0%

Length

2024-05-11T14:57:50.187569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:50.425782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 24
100.0%

데이터갱신일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2018-08-31 23:59:59.0
19 
2019-01-16 02:20:50.0
 
1
2021-02-27 00:23:00.0
 
1
2022-12-05 23:00:00.0
 
1
2023-12-03 00:08:00.0
 
1

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique5 ?
Unique (%)20.8%

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 19
79.2%
2019-01-16 02:20:50.0 1
 
4.2%
2021-02-27 00:23:00.0 1
 
4.2%
2022-12-05 23:00:00.0 1
 
4.2%
2023-12-03 00:08:00.0 1
 
4.2%
2023-12-02 22:04:00.0 1
 
4.2%

Length

2024-05-11T14:57:50.634142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:50.875953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 19
39.6%
23:59:59.0 19
39.6%
2019-01-16 1
 
2.1%
02:20:50.0 1
 
2.1%
2021-02-27 1
 
2.1%
00:23:00.0 1
 
2.1%
2022-12-05 1
 
2.1%
23:00:00.0 1
 
2.1%
2023-12-03 1
 
2.1%
00:08:00.0 1
 
2.1%
Other values (2) 2
 
4.2%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)87.0%
Missing1
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean186676.25
Minimum184769.64
Maximum188953.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T14:57:51.121233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum184769.64
5-th percentile184814.26
Q1185540.59
median186288.01
Q3188005.11
95-th percentile188861.12
Maximum188953.07
Range4183.428
Interquartile range (IQR)2464.5221

Descriptive statistics

Standard deviation1414.529
Coefficient of variation (CV)0.007577445
Kurtosis-1.3322625
Mean186676.25
Median Absolute Deviation (MAD)792.48009
Skewness0.42265816
Sum4293553.6
Variance2000892.2
MonotonicityNot monotonic
2024-05-11T14:57:51.330642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
186775.524507377 2
 
8.3%
184769.638856257 2
 
8.3%
185637.61446876 2
 
8.3%
188617.447543433 1
 
4.2%
186288.014506979 1
 
4.2%
186371.750293941 1
 
4.2%
188953.066831076 1
 
4.2%
188489.883030306 1
 
4.2%
185505.381428112 1
 
4.2%
185495.534417338 1
 
4.2%
Other values (10) 10
41.7%
ValueCountFrequency (%)
184769.638856257 2
8.3%
185215.85638807 1
4.2%
185495.534417338 1
4.2%
185505.381428112 1
4.2%
185539.89307867 1
4.2%
185541.278076886 1
4.2%
185637.61446876 2
8.3%
185830.021380232 1
4.2%
186103.577112421 1
4.2%
186288.014506979 1
4.2%
ValueCountFrequency (%)
188953.066831076 1
4.2%
188871.512837973 1
4.2%
188767.584299319 1
4.2%
188617.447543433 1
4.2%
188489.883030306 1
4.2%
188081.731365697 1
4.2%
187928.484023216 1
4.2%
187587.063452976 1
4.2%
186775.524507377 2
8.3%
186371.750293941 1
4.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)87.0%
Missing1
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean447293.5
Minimum446106.37
Maximum449677.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T14:57:51.510480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446106.37
5-th percentile446286.33
Q1446742.07
median447207.39
Q3447636.62
95-th percentile449256.7
Maximum449677.36
Range3570.9916
Interquartile range (IQR)894.55081

Descriptive statistics

Standard deviation932.55835
Coefficient of variation (CV)0.0020848914
Kurtosis1.1587165
Mean447293.5
Median Absolute Deviation (MAD)472.3496
Skewness1.1607441
Sum10287750
Variance869665.08
MonotonicityNot monotonic
2024-05-11T14:57:51.688653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
446749.091497521 2
 
8.3%
447994.66586254 2
 
8.3%
446286.334162999 2
 
8.3%
446914.09282466 1
 
4.2%
447207.394735338 1
 
4.2%
446789.874288121 1
 
4.2%
447333.569187997 1
 
4.2%
449335.572121211 1
 
4.2%
446337.165995936 1
 
4.2%
447551.518198575 1
 
4.2%
Other values (10) 10
41.7%
ValueCountFrequency (%)
446106.372542662 1
4.2%
446286.334162999 2
8.3%
446337.165995936 1
4.2%
446444.996171878 1
4.2%
446735.045140198 1
4.2%
446749.091497521 2
8.3%
446789.874288121 1
4.2%
446914.09282466 1
4.2%
446998.232038717 1
4.2%
447207.394735338 1
4.2%
ValueCountFrequency (%)
449677.36412672 1
4.2%
449335.572121211 1
4.2%
448546.82818388 1
4.2%
447994.66586254 2
8.3%
447721.720064483 1
4.2%
447551.518198575 1
4.2%
447348.13213342 1
4.2%
447333.569187997 1
4.2%
447331.331275427 1
4.2%
447311.07958487 1
4.2%

문화체육업종명
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
인쇄사
21 
<NA>
3 

Length

Max length4
Median length3
Mean length3.125
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인쇄사 21
87.5%
<NA> 3
 
12.5%

Length

2024-05-11T14:57:51.911960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:52.124737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인쇄사 21
87.5%
na 3
 
12.5%

문화사업자구분명
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
출판인쇄업
21 
<NA>
3 

Length

Max length5
Median length5
Mean length4.875
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판인쇄업 21
87.5%
<NA> 3
 
12.5%

Length

2024-05-11T14:57:52.320873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:52.475825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 21
87.5%
na 3
 
12.5%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
23 
4
 
1

Length

Max length4
Median length4
Mean length3.875
Min length1

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
95.8%
4 1
 
4.2%

Length

2024-05-11T14:57:52.664614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:52.849880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
95.8%
4 1
 
4.2%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing23
Missing (%)95.8%
Memory size324.0 B
2024-05-11T14:57:52.977129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters4
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 row주택가주변
ValueCountFrequency (%)
주택가주변 1
100.0%
2024-05-11T14:57:53.350824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2
40.0%
택 1
20.0%
가 1
20.0%
변 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2
40.0%
택 1
20.0%
가 1
20.0%
변 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2
40.0%
택 1
20.0%
가 1
20.0%
변 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2
40.0%
택 1
20.0%
가 1
20.0%
변 1
20.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)100.0%
Missing17
Missing (%)70.8%
Infinite0
Infinite (%)0.0%
Mean85.642857
Minimum0
Maximum234.3
Zeros1
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T14:57:53.509640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.93
Q128.05
median76
Q3116.55
95-th percentile200.64
Maximum234.3
Range234.3
Interquartile range (IQR)88.5

Descriptive statistics

Standard deviation79.772194
Coefficient of variation (CV)0.9314518
Kurtosis1.1378774
Mean85.642857
Median Absolute Deviation (MAD)46.1
Skewness1.0711257
Sum599.5
Variance6363.6029
MonotonicityNot monotonic
2024-05-11T14:57:53.676459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 1
 
4.2%
23.1 1
 
4.2%
234.3 1
 
4.2%
76.0 1
 
4.2%
111.0 1
 
4.2%
33.0 1
 
4.2%
122.1 1
 
4.2%
(Missing) 17
70.8%
ValueCountFrequency (%)
0.0 1
4.2%
23.1 1
4.2%
33.0 1
4.2%
76.0 1
4.2%
111.0 1
4.2%
122.1 1
4.2%
234.3 1
4.2%
ValueCountFrequency (%)
234.3 1
4.2%
122.1 1
4.2%
111.0 1
4.2%
76.0 1
4.2%
33.0 1
4.2%
23.1 1
4.2%
0.0 1
4.2%

지상층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
21 
2
 
1
3
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.625
Min length1

Unique

Unique3 ?
Unique (%)12.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
87.5%
2 1
 
4.2%
3 1
 
4.2%
1 1
 
4.2%

Length

2024-05-11T14:57:53.901702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:54.142539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
87.5%
2 1
 
4.2%
3 1
 
4.2%
1 1
 
4.2%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
22 
1
 
2

Length

Max length4
Median length4
Mean length3.75
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> 22
91.7%
1 2
 
8.3%

Length

2024-05-11T14:57:54.354403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:54.532197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
91.7%
1 2
 
8.3%

건물용도명
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
19 
근린생활시설
5 

Length

Max length6
Median length4
Mean length4.4166667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 19
79.2%
근린생활시설 5
 
20.8%

Length

2024-05-11T14:57:54.759997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:54.923087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
79.2%
근린생활시설 5
 
20.8%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

지역구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing23
Missing (%)95.8%
Memory size324.0 B
2024-05-11T14:57:55.110024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters6
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 row일반주거지역
ValueCountFrequency (%)
일반주거지역 1
100.0%
2024-05-11T14:57:55.748864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 1
16.7%
반 1
16.7%
주 1
16.7%
거 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 1
16.7%
반 1
16.7%
주 1
16.7%
거 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 1
16.7%
반 1
16.7%
주 1
16.7%
거 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 1
16.7%
반 1
16.7%
주 1
16.7%
거 1
16.7%
지 1
16.7%
역 1
16.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03140000CDFG125200199100000119910322<NA>1영업/정상13영업중<NA><NA><NA><NA>2695-3622<NA>158838서울특별시 양천구 신월동 ***-**번지서울특별시 양천구 중앙로 *** (신월동)<NA>신영인쇄(주)2004-12-08 17:33:53I2018-08-31 23:59:59.0<NA>186775.524507446749.091498인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13140000CDFG125200199400000119940819<NA>1영업/정상13영업중<NA><NA><NA><NA>2606-2736<NA>158838서울특별시 양천구 신월동 ***-*번지서울특별시 양천구 오목로**길 *-** (신월동)158838양천문화인쇄사2013-12-10 17:18:27I2018-08-31 23:59:59.0<NA>186103.577112446735.04514인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23140000CDFG125200199400000219941008<NA>1영업/정상13영업중<NA><NA><NA><NA>2690-0044<NA>158824서울특별시 양천구 신월동 **-*번지서울특별시 양천구 월정로**길 * (신월동)158824한국문화인쇄공사2013-12-10 17:19:34I2018-08-31 23:59:59.0<NA>185215.856388448546.828184인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33140000CDFG125200200200000120020121<NA>1영업/정상13영업중<NA><NA><NA><NA>2695-3622<NA>158838서울특별시 양천구 신월동 ***-**번지서울특별시 양천구 중앙로 *** (신월동)158838대주인쇄(주)2013-12-10 17:22:04I2018-08-31 23:59:59.0<NA>186775.524507446749.091498인쇄사출판인쇄업<NA><NA><NA><NA><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>
43140000CDFG125200200200000220020806<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>158861서울특별시 양천구 신정동 ****-*번지 현대프라자***호서울특별시 양천구 중앙로**길 ** (신정동,현대프라자***호)<NA>(주)뉴스앤조이2002-10-22 17:51:52I2018-08-31 23:59:59.0<NA>187587.063453446444.996172인쇄사출판인쇄업<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>
53140000CDFG125200200300000120031127<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2655-0761<NA>158819서울특별시 양천구 목동 ***-*번지서울특별시 양천구 목동중앙서로*길 **-** (목동)158819서강총업(주)2013-12-10 17:23:04I2018-08-31 23:59:59.0<NA>187928.484023447721.720064인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63140000CDFG125200200400000120040128<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2603-4772<NA>158831서울특별시 양천구 신월동 ***-**번지 지하서울특별시 양천구 월정로**길 ** (신월동, 지하)158831호진인쇄2013-12-10 17:23:58I2018-08-31 23:59:59.0<NA>185541.278077447311.079585인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73140000CDFG125200200500000120050104<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>158855서울특별시 양천구 신정동 ***-*번지<NA><NA>현대인쇄산업2013-12-10 17:28:06I2018-08-31 23:59:59.0<NA><NA><NA>인쇄사출판인쇄업<NA>주택가주변<NA>23.12<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
83140000CDFG125200200600000120060515<NA>3폐업3폐업20130612<NA><NA><NA><NA><NA>158831서울특별시 양천구 신월동 ***-**번지서울특별시 양천구 월정로**길 ** (신월동)<NA>제일문화2013-06-12 16:20:45I2018-08-31 23:59:59.0<NA>185539.893079447331.331275인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93140000CDFG125200200700000220070412<NA>1영업/정상13영업중<NA><NA><NA><NA>2650-1115<NA>158701서울특별시 양천구 목동 ***-*번지 기독교방송회관 **층서울특별시 양천구 목동서로 ***-* (목동, 기독교방송회관 **층)158701(주)씨비에스노컷뉴스2013-12-10 17:29:25I2018-08-31 23:59:59.0<NA>188871.512838447348.132133인쇄사출판인쇄업<NA><NA><NA><NA><NA><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
143140000CDFG125200201000000220100322<NA>1영업/정상13영업중<NA><NA><NA><NA>2645-5482<NA>158806서울특별시 양천구 목동 ***-***번지 *층서울특별시 양천구 목동동로**길 * (목동, *층)158806(주)하이카피랜드2013-12-11 10:18:12I2018-08-31 23:59:59.0<NA>188617.447543446914.092825인쇄사출판인쇄업<NA><NA><NA>76.01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
153140000CDFG125200201000000320100402<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>158841서울특별시 양천구 신월동 ***-*번지 지층 ***호서울특별시 양천구 신월로 *** (신월동, 지층 ***호)158841맵시이엔지산업2013-12-11 10:19:19I2018-08-31 23:59:59.0<NA>185830.02138446106.372543인쇄사출판인쇄업<NA><NA><NA>111.0<NA>1근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
163140000CDFG125200201000000420100806<NA>1영업/정상13영업중<NA><NA><NA><NA>2603-9849<NA>158827서울특별시 양천구 신월동 ***-**번지 *층서울특별시 양천구 곰달래로 ** (신월동, *층)158827복음사2013-12-11 10:20:55I2018-08-31 23:59:59.0<NA>185495.534417447551.518199인쇄사출판인쇄업<NA><NA><NA>33.0<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>
173140000CDFG125200201200000120120725<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2607-7341<NA>158847서울특별시 양천구 신월동 ***-*번지 *층서울특별시 양천구 지양로 ** (신월동)158847성광실업2012-07-25 17:57:11I2018-08-31 23:59:59.0<NA>185505.381428446337.165996인쇄사출판인쇄업<NA><NA><NA>122.1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
183140000CDFG125200201800000120180201<NA>1영업/정상13영업중<NA><NA><NA><NA>07043544207<NA><NA>서울특별시 양천구 목동 ***-**번지 한성빌딩서울특별시 양천구 목동중앙북로**길 *-**, 한성빌딩 지하*층 (목동)7948DN2018-02-01 09:04:50I2018-08-31 23:59:59.0<NA>188489.88303449335.572121인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
193140000CDFG125200201900000120190114<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2644-3020<NA><NA>서울특별시 양천구 목동 ***-*번지 현대**타워 ****호서울특별시 양천구 목동동로 ***, 현대**타워 ****호 (목동)7997두현2019-01-14 08:21:30I2019-01-16 02:20:50.0<NA>188953.066831447333.569188인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
203140000CDFG125200202100000120210225<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2604-1479<NA><NA>서울특별시 양천구 신월동 ***-** 지층서울특별시 양천구 오목로 **, 지층 (신월동)7935정상기획인쇄2021-02-25 14:40:08I2021-02-27 00:23:00.0<NA>186371.750294446789.874288인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
213140000CDFG12520020230000012023-06-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02)718-6258<NA><NA>서울특별시 양천구 신월동 ***-*서울특별시 양천구 남부순환로**길 *, *층 (신월동)7912블루앤노트2023-06-08 17:18:06I2022-12-05 23:00:00.0<NA>184769.638856447994.665863<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
223140000CDFG12520020240000012024-03-06<NA>1영업/정상13영업중<NA><NA><NA><NA>718-6252<NA><NA>서울특별시 양천구 신월동 ***-*서울특별시 양천구 남부순환로**길 *, *층 (신월동)7912도서출판 선인2024-03-06 10:07:19I2023-12-03 00:08:00.0<NA>184769.638856447994.665863<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
233140000CDFG12520020240000022024-03-22<NA>1영업/정상13영업중<NA><NA><NA><NA>0226926001<NA><NA>서울특별시 양천구 신월동 ***-**서울특별시 양천구 국회대로 ** (신월동)7932대지 come2024-03-22 16:35:01I2023-12-02 22:04:00.0<NA>186288.014507447207.394735<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>