Overview

Dataset statistics

Number of variables56
Number of observations26
Missing cells841
Missing cells (%)57.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.5 KiB
Average record size in memory494.1 B

Variable types

Categorical14
Text7
DateTime2
Unsupported29
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
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-17876/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
건물용도명 has constant value ""Constant
지역구분명 has constant value ""Constant
폐업일자 is highly imbalanced (55.4%)Imbalance
총층수 is highly imbalanced (76.5%)Imbalance
시설면적 is highly imbalanced (57.5%)Imbalance
지상층수 is highly imbalanced (76.5%)Imbalance
지하층수 is highly imbalanced (70.5%)Imbalance
인허가취소일자 has 26 (100.0%) missing valuesMissing
휴업시작일자 has 26 (100.0%) missing valuesMissing
휴업종료일자 has 26 (100.0%) missing valuesMissing
재개업일자 has 26 (100.0%) missing valuesMissing
전화번호 has 13 (50.0%) missing valuesMissing
소재지면적 has 26 (100.0%) missing valuesMissing
소재지우편번호 has 16 (61.5%) missing valuesMissing
도로명우편번호 has 8 (30.8%) missing valuesMissing
업태구분명 has 26 (100.0%) missing valuesMissing
주변환경명 has 26 (100.0%) missing valuesMissing
제작취급품목내용 has 26 (100.0%) missing valuesMissing
건물용도명 has 25 (96.2%) missing valuesMissing
통로너비 has 26 (100.0%) missing valuesMissing
조명시설조도 has 26 (100.0%) missing valuesMissing
노래방실수 has 26 (100.0%) missing valuesMissing
청소년실수 has 26 (100.0%) missing valuesMissing
비상계단여부 has 26 (100.0%) missing valuesMissing
비상구여부 has 26 (100.0%) missing valuesMissing
자동환기여부 has 26 (100.0%) missing valuesMissing
청소년실여부 has 26 (100.0%) missing valuesMissing
특수조명여부 has 26 (100.0%) missing valuesMissing
방음시설여부 has 26 (100.0%) missing valuesMissing
비디오재생기명 has 26 (100.0%) missing valuesMissing
조명시설유무 has 26 (100.0%) missing valuesMissing
음향시설여부 has 26 (100.0%) missing valuesMissing
편의시설여부 has 26 (100.0%) missing valuesMissing
소방시설여부 has 26 (100.0%) missing valuesMissing
총게임기수 has 26 (100.0%) missing valuesMissing
기존게임업외업종명 has 26 (100.0%) missing valuesMissing
제공게임물명 has 26 (100.0%) missing valuesMissing
공연장형태구분명 has 26 (100.0%) missing valuesMissing
품목명 has 26 (100.0%) missing valuesMissing
최초등록시점 has 26 (100.0%) missing valuesMissing
지역구분명 has 25 (96.2%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
통로너비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설조도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총게임기수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 06:54:06.453365
Analysis finished2024-05-11 06:54:07.257330
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
3240000
26 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3240000 26
100.0%

Length

2024-05-11T15:54:07.372689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:54:07.542863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 26
100.0%

관리번호
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-05-11T15:54:07.804181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters520
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

Unique26 ?
Unique (%)100.0%

Sample

1st rowCDFG1252001997000001
2nd rowCDFG1252002000000001
3rd rowCDFG1252002003000001
4th rowCDFG1252002003000002
5th rowCDFG1252002003000003
ValueCountFrequency (%)
cdfg1252001997000001 1
 
3.8%
cdfg1252002000000001 1
 
3.8%
cdfg1252002021000003 1
 
3.8%
cdfg1252002021000002 1
 
3.8%
cdfg1252002021000001 1
 
3.8%
cdfg1252002020000003 1
 
3.8%
cdfg1252002020000002 1
 
3.8%
cdfg1252002020000001 1
 
3.8%
cdfg1252002018000003 1
 
3.8%
cdfg1252002018000002 1
 
3.8%
Other values (16) 16
61.5%
2024-05-11T15:54:08.392704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 219
42.1%
2 91
17.5%
1 54
 
10.4%
5 29
 
5.6%
C 26
 
5.0%
D 26
 
5.0%
F 26
 
5.0%
G 26
 
5.0%
3 8
 
1.5%
4 6
 
1.2%
Other values (4) 9
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 416
80.0%
Uppercase Letter 104
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 219
52.6%
2 91
21.9%
1 54
 
13.0%
5 29
 
7.0%
3 8
 
1.9%
4 6
 
1.4%
8 3
 
0.7%
9 2
 
0.5%
7 2
 
0.5%
6 2
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
C 26
25.0%
D 26
25.0%
F 26
25.0%
G 26
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 416
80.0%
Latin 104
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 219
52.6%
2 91
21.9%
1 54
 
13.0%
5 29
 
7.0%
3 8
 
1.9%
4 6
 
1.4%
8 3
 
0.7%
9 2
 
0.5%
7 2
 
0.5%
6 2
 
0.5%
Latin
ValueCountFrequency (%)
C 26
25.0%
D 26
25.0%
F 26
25.0%
G 26
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 520
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 219
42.1%
2 91
17.5%
1 54
 
10.4%
5 29
 
5.6%
C 26
 
5.0%
D 26
 
5.0%
F 26
 
5.0%
G 26
 
5.0%
3 8
 
1.5%
4 6
 
1.2%
Other values (4) 9
 
1.7%

인허가일자
Date

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum1997-02-17 00:00:00
Maximum2021-02-03 00:00:00
2024-05-11T15:54:08.604070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:54:08.799987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
1
21 
3
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 21
80.8%
3 5
 
19.2%

Length

2024-05-11T15:54:08.994918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:54:09.128751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 21
80.8%
3 5
 
19.2%

영업상태명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
영업/정상
21 
폐업
5 

Length

Max length5
Median length5
Mean length4.4230769
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 21
80.8%
폐업 5
 
19.2%

Length

2024-05-11T15:54:09.276285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:54:09.430963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 21
80.8%
폐업 5
 
19.2%

상세영업상태코드
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
13
21 
3
5 

Length

Max length2
Median length2
Mean length1.8076923
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 21
80.8%
3 5
 
19.2%

Length

2024-05-11T15:54:09.598267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:54:09.760469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 21
80.8%
3 5
 
19.2%

상세영업상태명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
영업중
21 
폐업
5 

Length

Max length3
Median length3
Mean length2.8076923
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 21
80.8%
폐업 5
 
19.2%

Length

2024-05-11T15:54:09.916520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:54:10.055153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 21
80.8%
폐업 5
 
19.2%

폐업일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
21 
20010201
 
1
20031022
 
1
20150527
 
1
20091020
 
1

Length

Max length8
Median length4
Mean length4.7692308
Min length4

Unique

Unique5 ?
Unique (%)19.2%

Sample

1st row<NA>
2nd row20010201
3rd row20031022
4th row<NA>
5th row20150527

Common Values

ValueCountFrequency (%)
<NA> 21
80.8%
20010201 1
 
3.8%
20031022 1
 
3.8%
20150527 1
 
3.8%
20091020 1
 
3.8%
20200121 1
 
3.8%

Length

2024-05-11T15:54:10.260669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:54:10.580637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
80.8%
20010201 1
 
3.8%
20031022 1
 
3.8%
20150527 1
 
3.8%
20091020 1
 
3.8%
20200121 1
 
3.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

전화번호
Text

MISSING 

Distinct13
Distinct (%)100.0%
Missing13
Missing (%)50.0%
Memory size340.0 B
2024-05-11T15:54:10.799538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.153846
Min length8

Characters and Unicode

Total characters132
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)100.0%

Sample

1st row472-5021
2nd row02-2205-7979
3rd row02-455-0145
4th row02-488-2301
5th row442-4624
ValueCountFrequency (%)
472-5021 1
 
7.7%
02-2205-7979 1
 
7.7%
02-455-0145 1
 
7.7%
02-488-2301 1
 
7.7%
442-4624 1
 
7.7%
488-0622 1
 
7.7%
02-517-8745 1
 
7.7%
02-416-6138 1
 
7.7%
02-488-5550 1
 
7.7%
02-473-0558 1
 
7.7%
Other values (3) 3
23.1%
2024-05-11T15:54:11.319899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 21
15.9%
0 21
15.9%
- 19
14.4%
4 17
12.9%
8 13
9.8%
5 12
9.1%
1 7
 
5.3%
3 7
 
5.3%
7 6
 
4.5%
9 5
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 113
85.6%
Dash Punctuation 19
 
14.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 21
18.6%
0 21
18.6%
4 17
15.0%
8 13
11.5%
5 12
10.6%
1 7
 
6.2%
3 7
 
6.2%
7 6
 
5.3%
9 5
 
4.4%
6 4
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 132
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 21
15.9%
0 21
15.9%
- 19
14.4%
4 17
12.9%
8 13
9.8%
5 12
9.1%
1 7
 
5.3%
3 7
 
5.3%
7 6
 
4.5%
9 5
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 132
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 21
15.9%
0 21
15.9%
- 19
14.4%
4 17
12.9%
8 13
9.8%
5 12
9.1%
1 7
 
5.3%
3 7
 
5.3%
7 6
 
4.5%
9 5
 
3.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)80.0%
Missing16
Missing (%)61.5%
Infinite0
Infinite (%)0.0%
Mean134694
Minimum134031
Maximum134888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T15:54:11.490827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum134031
5-th percentile134057.55
Q1134830
median134847
Q3134856.25
95-th percentile134879
Maximum134888
Range857
Interquartile range (IQR)26.25

Descriptive statistics

Standard deviation334.61155
Coefficient of variation (CV)0.002484235
Kurtosis1.4366577
Mean134694
Median Absolute Deviation (MAD)17
Skewness-1.7747207
Sum1346940
Variance111964.89
MonotonicityNot monotonic
2024-05-11T15:54:11.641381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
134830 2
 
7.7%
134851 2
 
7.7%
134858 1
 
3.8%
134888 1
 
3.8%
134868 1
 
3.8%
134031 1
 
3.8%
134090 1
 
3.8%
134843 1
 
3.8%
(Missing) 16
61.5%
ValueCountFrequency (%)
134031 1
3.8%
134090 1
3.8%
134830 2
7.7%
134843 1
3.8%
134851 2
7.7%
134858 1
3.8%
134868 1
3.8%
134888 1
3.8%
ValueCountFrequency (%)
134888 1
3.8%
134868 1
3.8%
134858 1
3.8%
134851 2
7.7%
134843 1
3.8%
134830 2
7.7%
134090 1
3.8%
134031 1
3.8%

지번주소
Text

Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-05-11T15:54:11.888541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length29
Mean length25.269231
Min length16

Characters and Unicode

Total characters657
Distinct characters66
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

Unique21 ?
Unique (%)80.8%

Sample

1st row서울특별시 강동구 암사동 ***-**번지
2nd row서울특별시 강동구 명일동 ***-*번지 엘지상가***호
3rd row서울특별시 강동구 성내동 ***번지 초성빌딩 ***호
4th row서울특별시 강동구 성내동 ***번지 초성빌딩 ***호
5th row서울특별시 강동구 성내동 ***-**번지
ValueCountFrequency (%)
서울특별시 26
20.8%
강동구 26
20.8%
번지 17
13.6%
성내동 14
11.2%
9
 
7.2%
호 3
 
2.4%
상일동 3
 
2.4%
지하*층 2
 
1.6%
초성빌딩 2
 
1.6%
명일동 2
 
1.6%
Other values (18) 21
16.8%
2024-05-11T15:54:12.451503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 126
19.2%
118
18.0%
동 53
 
8.1%
구 28
 
4.3%
강 27
 
4.1%
서 26
 
4.0%
특 26
 
4.0%
별 26
 
4.0%
시 26
 
4.0%
울 26
 
4.0%
Other values (56) 175
26.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 391
59.5%
Other Punctuation 126
 
19.2%
Space Separator 118
 
18.0%
Dash Punctuation 20
 
3.0%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 53
13.6%
구 28
 
7.2%
강 27
 
6.9%
서 26
 
6.6%
특 26
 
6.6%
별 26
 
6.6%
시 26
 
6.6%
울 26
 
6.6%
지 23
 
5.9%
번 17
 
4.3%
Other values (51) 113
28.9%
Uppercase Letter
ValueCountFrequency (%)
G 1
50.0%
S 1
50.0%
Other Punctuation
ValueCountFrequency (%)
* 126
100.0%
Space Separator
ValueCountFrequency (%)
118
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 391
59.5%
Common 264
40.2%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 53
13.6%
구 28
 
7.2%
강 27
 
6.9%
서 26
 
6.6%
특 26
 
6.6%
별 26
 
6.6%
시 26
 
6.6%
울 26
 
6.6%
지 23
 
5.9%
번 17
 
4.3%
Other values (51) 113
28.9%
Common
ValueCountFrequency (%)
* 126
47.7%
118
44.7%
- 20
 
7.6%
Latin
ValueCountFrequency (%)
G 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 391
59.5%
ASCII 266
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 126
47.4%
118
44.4%
- 20
 
7.5%
G 1
 
0.4%
S 1
 
0.4%
Hangul
ValueCountFrequency (%)
동 53
13.6%
구 28
 
7.2%
강 27
 
6.9%
서 26
 
6.6%
특 26
 
6.6%
별 26
 
6.6%
시 26
 
6.6%
울 26
 
6.6%
지 23
 
5.9%
번 17
 
4.3%
Other values (51) 113
28.9%

도로명주소
Text

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-05-11T15:54:12.843804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length35
Mean length31.653846
Min length22

Characters and Unicode

Total characters823
Distinct characters83
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 강동구 고덕로 *** (암사동)
2nd row서울특별시 강동구 상암로**길 ** (명일동,엘지상가***호)
3rd row서울특별시 강동구 성내로*길 *, ***호 (성내동,초성빌딩)
4th row서울특별시 강동구 성내로*길 *, ***호 (성내동,초성빌딩)
5th row서울특별시 강동구 성안로 ** (성내동)
ValueCountFrequency (%)
서울특별시 26
16.2%
26
16.2%
강동구 26
16.2%
성내동 11
 
6.9%
층 8
 
5.0%
호 5
 
3.1%
성안로 4
 
2.5%
지층 3
 
1.9%
상일동 3
 
1.9%
지하*층 3
 
1.9%
Other values (38) 45
28.1%
2024-05-11T15:54:13.412147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
140
17.0%
* 114
 
13.9%
동 54
 
6.6%
, 29
 
3.5%
구 29
 
3.5%
성 28
 
3.4%
강 28
 
3.4%
로 26
 
3.2%
( 26
 
3.2%
울 26
 
3.2%
Other values (73) 323
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 480
58.3%
Other Punctuation 143
 
17.4%
Space Separator 140
 
17.0%
Open Punctuation 26
 
3.2%
Close Punctuation 26
 
3.2%
Uppercase Letter 5
 
0.6%
Dash Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 54
 
11.2%
구 29
 
6.0%
성 28
 
5.8%
강 28
 
5.8%
로 26
 
5.4%
울 26
 
5.4%
서 26
 
5.4%
시 26
 
5.4%
별 26
 
5.4%
특 26
 
5.4%
Other values (63) 185
38.5%
Uppercase Letter
ValueCountFrequency (%)
G 2
40.0%
S 1
20.0%
D 1
20.0%
A 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 114
79.7%
, 29
 
20.3%
Space Separator
ValueCountFrequency (%)
140
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 480
58.3%
Common 338
41.1%
Latin 5
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 54
 
11.2%
구 29
 
6.0%
성 28
 
5.8%
강 28
 
5.8%
로 26
 
5.4%
울 26
 
5.4%
서 26
 
5.4%
시 26
 
5.4%
별 26
 
5.4%
특 26
 
5.4%
Other values (63) 185
38.5%
Common
ValueCountFrequency (%)
140
41.4%
* 114
33.7%
, 29
 
8.6%
( 26
 
7.7%
) 26
 
7.7%
- 3
 
0.9%
Latin
ValueCountFrequency (%)
G 2
40.0%
S 1
20.0%
D 1
20.0%
A 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 480
58.3%
ASCII 343
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
140
40.8%
* 114
33.2%
, 29
 
8.5%
( 26
 
7.6%
) 26
 
7.6%
- 3
 
0.9%
G 2
 
0.6%
S 1
 
0.3%
D 1
 
0.3%
A 1
 
0.3%
Hangul
ValueCountFrequency (%)
동 54
 
11.2%
구 29
 
6.0%
성 28
 
5.8%
강 28
 
5.8%
로 26
 
5.4%
울 26
 
5.4%
서 26
 
5.4%
시 26
 
5.4%
별 26
 
5.4%
특 26
 
5.4%
Other values (63) 185
38.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)88.9%
Missing8
Missing (%)30.8%
Infinite0
Infinite (%)0.0%
Mean19697.222
Minimum5220
Maximum134843
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T15:54:13.613597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5220
5-th percentile5221.7
Q15327
median5391.5
Q35401
95-th percentile134202.95
Maximum134843
Range129623
Interquartile range (IQR)74

Descriptive statistics

Standard deviation41753.701
Coefficient of variation (CV)2.1197761
Kurtosis5.9769588
Mean19697.222
Median Absolute Deviation (MAD)20.5
Skewness2.705827
Sum354550
Variance1.7433716 × 109
MonotonicityNot monotonic
2024-05-11T15:54:13.825454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
5402 2
 
7.7%
5398 2
 
7.7%
5394 1
 
3.8%
5220 1
 
3.8%
5286 1
 
3.8%
5396 1
 
3.8%
5385 1
 
3.8%
5366 1
 
3.8%
5389 1
 
3.8%
5407 1
 
3.8%
Other values (6) 6
23.1%
(Missing) 8
30.8%
ValueCountFrequency (%)
5220 1
3.8%
5222 1
3.8%
5286 1
3.8%
5288 1
3.8%
5322 1
3.8%
5342 1
3.8%
5366 1
3.8%
5385 1
3.8%
5389 1
3.8%
5394 1
3.8%
ValueCountFrequency (%)
134843 1
3.8%
134090 1
3.8%
5407 1
3.8%
5402 2
7.7%
5398 2
7.7%
5396 1
3.8%
5394 1
3.8%
5389 1
3.8%
5385 1
3.8%
5366 1
3.8%

사업장명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-05-11T15:54:14.116657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length7.8461538
Min length4

Characters and Unicode

Total characters204
Distinct characters111
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row삼문인쇄소
2nd row사법행정문화원
3rd row창평기획
4th row주식회사 창평기획
5th row에바다종합광고기획
ValueCountFrequency (%)
주식회사 3
 
9.7%
창평기획 2
 
6.5%
삼문인쇄소 1
 
3.2%
나무프린텍 1
 
3.2%
주)신한서브 1
 
3.2%
주)스마트플랫폼 1
 
3.2%
아톰스페이스 1
 
3.2%
주)엠씨에스미디어 1
 
3.2%
주)글로벌콘텐츠출판그룹 1
 
3.2%
매직하우스(주 1
 
3.2%
Other values (18) 18
58.1%
2024-05-11T15:54:14.710185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 12
 
5.9%
( 9
 
4.4%
) 9
 
4.4%
스 7
 
3.4%
사 6
 
2.9%
획 5
 
2.5%
기 5
 
2.5%
디 5
 
2.5%
5
 
2.5%
회 4
 
2.0%
Other values (101) 137
67.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 170
83.3%
Open Punctuation 9
 
4.4%
Close Punctuation 9
 
4.4%
Space Separator 5
 
2.5%
Lowercase Letter 5
 
2.5%
Uppercase Letter 4
 
2.0%
Other Punctuation 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 12
 
7.1%
스 7
 
4.1%
사 6
 
3.5%
획 5
 
2.9%
기 5
 
2.9%
디 5
 
2.9%
회 4
 
2.4%
식 4
 
2.4%
고 3
 
1.8%
지 3
 
1.8%
Other values (90) 116
68.2%
Uppercase Letter
ValueCountFrequency (%)
C 1
25.0%
B 1
25.0%
A 1
25.0%
O 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
o 3
60.0%
s 1
 
20.0%
k 1
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 170
83.3%
Common 25
 
12.3%
Latin 9
 
4.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 12
 
7.1%
스 7
 
4.1%
사 6
 
3.5%
획 5
 
2.9%
기 5
 
2.9%
디 5
 
2.9%
회 4
 
2.4%
식 4
 
2.4%
고 3
 
1.8%
지 3
 
1.8%
Other values (90) 116
68.2%
Latin
ValueCountFrequency (%)
o 3
33.3%
C 1
 
11.1%
s 1
 
11.1%
k 1
 
11.1%
B 1
 
11.1%
A 1
 
11.1%
O 1
 
11.1%
Common
ValueCountFrequency (%)
( 9
36.0%
) 9
36.0%
5
20.0%
& 2
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 170
83.3%
ASCII 34
 
16.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 12
 
7.1%
스 7
 
4.1%
사 6
 
3.5%
획 5
 
2.9%
기 5
 
2.9%
디 5
 
2.9%
회 4
 
2.4%
식 4
 
2.4%
고 3
 
1.8%
지 3
 
1.8%
Other values (90) 116
68.2%
ASCII
ValueCountFrequency (%)
( 9
26.5%
) 9
26.5%
5
14.7%
o 3
 
8.8%
& 2
 
5.9%
C 1
 
2.9%
s 1
 
2.9%
k 1
 
2.9%
B 1
 
2.9%
A 1
 
2.9%

최종수정일자
Date

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2003-02-06 13:33:21
Maximum2024-03-22 11:06:37
2024-05-11T15:54:14.903112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:54:15.121056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

데이터갱신구분
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
I
21 
U
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 21
80.8%
U 5
 
19.2%

Length

2024-05-11T15:54:15.343077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:54:15.511930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 21
80.8%
u 5
 
19.2%

데이터갱신일자
Categorical

Distinct11
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Memory size340.0 B
2018-08-31 23:59:59.0
16 
2023-12-02 22:04:00.0
 
1
2020-01-23 02:40:00.0
 
1
2022-01-12 02:40:00.0
 
1
2022-12-07 23:01:00.0
 
1
Other values (6)
6 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique10 ?
Unique (%)38.5%

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 16
61.5%
2023-12-02 22:04:00.0 1
 
3.8%
2020-01-23 02:40:00.0 1
 
3.8%
2022-01-12 02:40:00.0 1
 
3.8%
2022-12-07 23:01:00.0 1
 
3.8%
2020-11-05 00:23:23.0 1
 
3.8%
2020-12-02 00:23:08.0 1
 
3.8%
2021-02-05 00:23:13.0 1
 
3.8%
2021-03-06 00:23:00.0 1
 
3.8%
2022-11-30 23:04:00.0 1
 
3.8%

Length

2024-05-11T15:54:16.046651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 16
30.8%
23:59:59.0 16
30.8%
02:40:00.0 2
 
3.8%
00:23:08.0 1
 
1.9%
2023-12-03 1
 
1.9%
23:04:00.0 1
 
1.9%
2022-11-30 1
 
1.9%
00:23:00.0 1
 
1.9%
2021-03-06 1
 
1.9%
00:23:13.0 1
 
1.9%
Other values (11) 11
21.2%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

좌표정보(X)
Real number (ℝ)

Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean212202
Minimum210558.1
Maximum215898.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T15:54:16.256583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210558.1
5-th percentile210686.88
Q1211110.25
median211551.04
Q3212667.94
95-th percentile215407.21
Maximum215898.11
Range5340.0175
Interquartile range (IQR)1557.6911

Descriptive statistics

Standard deviation1630.3142
Coefficient of variation (CV)0.0076828411
Kurtosis0.26427796
Mean212202
Median Absolute Deviation (MAD)696.73105
Skewness1.2237546
Sum5517252
Variance2657924.5
MonotonicityNot monotonic
2024-05-11T15:54:16.466626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
210854.313284758 2
 
7.7%
211639.936574391 2
 
7.7%
215407.211582 2
 
7.7%
212052.705707085 1
 
3.8%
214891.425303626 1
 
3.8%
214425.656359382 1
 
3.8%
210558.095600946 1
 
3.8%
215898.113091143 1
 
3.8%
211350.918646973 1
 
3.8%
210672.431145962 1
 
3.8%
Other values (13) 13
50.0%
ValueCountFrequency (%)
210558.095600946 1
3.8%
210672.431145962 1
3.8%
210730.24498636 1
3.8%
210742.430672338 1
3.8%
210854.313284758 2
7.7%
211061.484677738 1
3.8%
211256.542679942 1
3.8%
211333.130147133 1
3.8%
211350.717645253 1
3.8%
211350.918646973 1
3.8%
ValueCountFrequency (%)
215898.113091143 1
3.8%
215407.211582 2
7.7%
214891.425303626 1
3.8%
214425.656359382 1
3.8%
212802.668734885 1
3.8%
212705.290750268 1
3.8%
212555.888704814 1
3.8%
212218.329529854 1
3.8%
212052.705707085 1
3.8%
212028.322974846 1
3.8%

좌표정보(Y)
Real number (ℝ)

Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean448455.16
Minimum446852.35
Maximum451107.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T15:54:16.680927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446852.35
5-th percentile446978.04
Q1447336.66
median447746.92
Q3449862.17
95-th percentile450648.23
Maximum451107.22
Range4254.8716
Interquartile range (IQR)2525.5083

Descriptive statistics

Standard deviation1353.3584
Coefficient of variation (CV)0.0030178233
Kurtosis-1.1996486
Mean448455.16
Median Absolute Deviation (MAD)758.95354
Skewness0.59311777
Sum11659834
Variance1831579
MonotonicityNot monotonic
2024-05-11T15:54:16.889664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
447410.946828607 2
 
7.7%
447744.68651733 2
 
7.7%
450039.139864 2
 
7.7%
450262.697361411 1
 
3.8%
450776.734836846 1
 
3.8%
451107.221316459 1
 
3.8%
447311.900335116 1
 
3.8%
449933.236825398 1
 
3.8%
447240.742965356 1
 
3.8%
447311.251579469 1
 
3.8%
Other values (13) 13
50.0%
ValueCountFrequency (%)
446852.349671616 1
3.8%
446968.119700507 1
3.8%
447007.80929646 1
3.8%
447240.742965356 1
3.8%
447291.651505325 1
3.8%
447311.251579469 1
3.8%
447311.900335116 1
3.8%
447410.946828607 2
7.7%
447588.941427164 1
3.8%
447642.876872129 1
3.8%
ValueCountFrequency (%)
451107.221316459 1
3.8%
450776.734836846 1
3.8%
450262.697361411 1
3.8%
450155.368165918 1
3.8%
450039.139864 2
7.7%
449933.236825398 1
3.8%
449648.97067582 1
3.8%
449219.605890126 1
3.8%
448955.844701889 1
3.8%
448531.985526796 1
3.8%

문화체육업종명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
인쇄사
22 
<NA>
4 

Length

Max length4
Median length3
Mean length3.1538462
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인쇄사 22
84.6%
<NA> 4
 
15.4%

Length

2024-05-11T15:54:17.099324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:54:17.265489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인쇄사 22
84.6%
na 4
 
15.4%

문화사업자구분명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
출판인쇄업
22 
<NA>
4 

Length

Max length5
Median length5
Mean length4.8461538
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판인쇄업 22
84.6%
<NA> 4
 
15.4%

Length

2024-05-11T15:54:17.462908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:54:17.633778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 22
84.6%
na 4
 
15.4%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
25 
0
 
1

Length

Max length4
Median length4
Mean length3.8846154
Min length1

Unique

Unique1 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
96.2%
0 1
 
3.8%

Length

2024-05-11T15:54:17.799160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:54:17.946544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
96.2%
0 1
 
3.8%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

시설면적
Categorical

IMBALANCE 

Distinct4
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
22 
0.0
 
2
27.5
 
1
429.85
 
1

Length

Max length6
Median length4
Mean length4
Min length3

Unique

Unique2 ?
Unique (%)7.7%

Sample

1st row0.0
2nd row0.0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 22
84.6%
0.0 2
 
7.7%
27.5 1
 
3.8%
429.85 1
 
3.8%

Length

2024-05-11T15:54:18.133818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:54:18.317010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
84.6%
0.0 2
 
7.7%
27.5 1
 
3.8%
429.85 1
 
3.8%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
25 
0
 
1

Length

Max length4
Median length4
Mean length3.8846154
Min length1

Unique

Unique1 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
96.2%
0 1
 
3.8%

Length

2024-05-11T15:54:18.507538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:54:18.644312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
96.2%
0 1
 
3.8%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
24 
0
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.7692308
Min length1

Unique

Unique2 ?
Unique (%)7.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 24
92.3%
0 1
 
3.8%
1 1
 
3.8%

Length

2024-05-11T15:54:18.803746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:54:18.962079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
92.3%
0 1
 
3.8%
1 1
 
3.8%

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing25
Missing (%)96.2%
Memory size340.0 B
2024-05-11T15:54:19.132687image/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 row근린생활시설
ValueCountFrequency (%)
근린생활시설 1
100.0%
2024-05-11T15:54:19.523727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

지역구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing25
Missing (%)96.2%
Memory size340.0 B
2024-05-11T15:54:19.696634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
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 row주거지역
ValueCountFrequency (%)
주거지역 1
100.0%
2024-05-11T15:54:20.145220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1
25.0%
거 1
25.0%
지 1
25.0%
역 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1
25.0%
거 1
25.0%
지 1
25.0%
역 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1
25.0%
거 1
25.0%
지 1
25.0%
역 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1
25.0%
거 1
25.0%
지 1
25.0%
역 1
25.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03240000CDFG125200199700000119970217<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>134858서울특별시 강동구 암사동 ***-**번지서울특별시 강동구 고덕로 *** (암사동)<NA>삼문인쇄소2003-02-06 13:33:21I2018-08-31 23:59:59.0<NA>212052.705707450262.697361인쇄사출판인쇄업<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>
13240000CDFG125200200000000120000510<NA>3폐업3폐업20010201<NA><NA><NA><NA><NA>134830서울특별시 강동구 명일동 ***-*번지 엘지상가***호서울특별시 강동구 상암로**길 ** (명일동,엘지상가***호)<NA>사법행정문화원2003-02-06 13:33:21I2018-08-31 23:59:59.0<NA>212802.668735449648.970676인쇄사출판인쇄업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23240000CDFG125200200300000120031022<NA>3폐업3폐업20031022<NA><NA><NA><NA><NA>134851서울특별시 강동구 성내동 ***번지 초성빌딩 ***호서울특별시 강동구 성내로*길 *, ***호 (성내동,초성빌딩)<NA>창평기획2003-11-05 12:00:24I2018-08-31 23:59:59.0<NA>210854.313285447410.946829인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33240000CDFG125200200300000220031030<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>134851서울특별시 강동구 성내동 ***번지 초성빌딩 ***호서울특별시 강동구 성내로*길 *, ***호 (성내동,초성빌딩)<NA>주식회사 창평기획2011-02-10 09:52:26I2018-08-31 23:59:59.0<NA>210854.313285447410.946829인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43240000CDFG125200200300000320031101<NA>3폐업3폐업20150527<NA><NA><NA>472-5021<NA>134888서울특별시 강동구 성내동 ***-**번지서울특별시 강동구 성안로 ** (성내동)<NA>에바다종합광고기획2015-05-27 17:25:41I2018-08-31 23:59:59.0<NA>211639.936574447744.686517인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53240000CDFG125200200400000120040216<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>134830서울특별시 강동구 명일동 ***-*번지 지하서울특별시 강동구 고덕로**길 ** (명일동,지하)<NA>동부기획2007-08-29 20:12:55I2018-08-31 23:59:59.0<NA>212555.888705450155.368166인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63240000CDFG125200200600000120060808<NA>3폐업3폐업20091020<NA><NA><NA><NA><NA>134868서울특별시 강동구 천호동 ***-**번지 한건브리앙 ***호서울특별시 강동구 구천면로**길 **, ***호 (천호동,한건브리앙)<NA>아리마을2009-10-20 13:30:50I2018-08-31 23:59:59.0<NA>210742.430672448955.844702인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73240000CDFG125200200600000220060517<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2205-7979<NA>134031서울특별시 강동구 성내동 ***번지 대경빌딩 *층서울특별시 강동구 성내로**길 * (성내동,대경빌딩 *층)<NA>한국디지털그래픽스2013-04-02 15:46:58I2018-08-31 23:59:59.0<NA>211061.484678447291.651505인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83240000CDFG125200201000000120100913<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 ***-**번지서울특별시 강동구 성안로 ** (성내동, 행복한집)5389솔 기획인쇄2016-08-21 17:51:08I2018-08-31 23:59:59.0<NA>211639.936574447744.686517인쇄사출판인쇄업<NA><NA><NA>27.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93240000CDFG12520020140000012014-04-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 ***-** 성현빌딩서울특별시 강동구 양재대로**길 **, 성현빌딩 *층 (성내동)5407(주)성현디앤씨2024-03-22 11:06:37U2023-12-02 22:04:00.0<NA>211462.152086446852.349672<NA><NA><NA><NA><NA><NA><NA><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
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173240000CDFG125200201800000220110609<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 고덕동 ***-*번지서울특별시 강동구 상일로**길 **, 지층 *호 (고덕동)5222Books&Co2018-01-29 17:11:22I2018-08-31 23:59:59.0<NA>214891.425304450776.734837인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
183240000CDFG125200201800000320180312<NA>1영업/정상13영업중<NA><NA><NA><NA>02-473-0558<NA><NA>서울특별시 강동구 성내동 ***-*번지서울특별시 강동구 풍성로 ***, *층 (성내동)5394동안우리복지센터2018-03-12 15:06:06I2018-08-31 23:59:59.0<NA>211256.54268447642.876872인쇄사출판인쇄업<NA><NA><NA><NA><NA><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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