Overview

Dataset statistics

Number of variables56
Number of observations23
Missing cells595
Missing cells (%)46.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.1 KiB
Average record size in memory493.7 B

Variable types

Categorical19
Text7
DateTime3
Unsupported23
Numeric4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-17860/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
지역구분명 has constant value ""Constant
폐업일자 is highly imbalanced (56.3%)Imbalance
총층수 is highly imbalanced (57.2%)Imbalance
지상층수 is highly imbalanced (53.6%)Imbalance
지하층수 is highly imbalanced (57.2%)Imbalance
통로너비 is highly imbalanced (74.2%)Imbalance
조명시설조도 is highly imbalanced (74.2%)Imbalance
노래방실수 is highly imbalanced (74.2%)Imbalance
청소년실수 is highly imbalanced (74.2%)Imbalance
총게임기수 is highly imbalanced (74.2%)Imbalance
인허가취소일자 has 23 (100.0%) missing valuesMissing
휴업시작일자 has 23 (100.0%) missing valuesMissing
휴업종료일자 has 23 (100.0%) missing valuesMissing
재개업일자 has 23 (100.0%) missing valuesMissing
전화번호 has 9 (39.1%) missing valuesMissing
소재지면적 has 23 (100.0%) missing valuesMissing
소재지우편번호 has 7 (30.4%) missing valuesMissing
도로명주소 has 1 (4.3%) missing valuesMissing
도로명우편번호 has 3 (13.0%) missing valuesMissing
업태구분명 has 23 (100.0%) missing valuesMissing
좌표정보(X) has 1 (4.3%) missing valuesMissing
좌표정보(Y) has 1 (4.3%) missing valuesMissing
주변환경명 has 22 (95.7%) missing valuesMissing
제작취급품목내용 has 23 (100.0%) missing valuesMissing
비상계단여부 has 23 (100.0%) missing valuesMissing
비상구여부 has 23 (100.0%) missing valuesMissing
자동환기여부 has 23 (100.0%) missing valuesMissing
청소년실여부 has 23 (100.0%) missing valuesMissing
특수조명여부 has 23 (100.0%) missing valuesMissing
방음시설여부 has 23 (100.0%) missing valuesMissing
비디오재생기명 has 23 (100.0%) missing valuesMissing
조명시설유무 has 23 (100.0%) missing valuesMissing
음향시설여부 has 23 (100.0%) missing valuesMissing
편의시설여부 has 23 (100.0%) missing valuesMissing
소방시설여부 has 23 (100.0%) missing valuesMissing
기존게임업외업종명 has 23 (100.0%) missing valuesMissing
제공게임물명 has 23 (100.0%) missing valuesMissing
공연장형태구분명 has 23 (100.0%) missing valuesMissing
품목명 has 23 (100.0%) missing valuesMissing
최초등록시점 has 23 (100.0%) missing valuesMissing
지역구분명 has 22 (95.7%) 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
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 03:28:26.474213
Analysis finished2024-05-11 03:28:27.912895
Duration1.44 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
3080000
23 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3080000
2nd row3080000
3rd row3080000
4th row3080000
5th row3080000

Common Values

ValueCountFrequency (%)
3080000 23
100.0%

Length

2024-05-11T03:28:28.229648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:28:28.668065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3080000 23
100.0%

관리번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-11T03:28:29.416714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters460
Distinct characters13
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

Unique23 ?
Unique (%)100.0%

Sample

1st rowCDFG1252001993000001
2nd rowCDFG1252001994000001
3rd rowCDFG1252001994000002
4th rowCDFG1252001998000001
5th rowCDFG1252002006000001
ValueCountFrequency (%)
cdfg1252001993000001 1
 
4.3%
cdfg1252002012000002 1
 
4.3%
cdfg1252002022000002 1
 
4.3%
cdfg1252002022000001 1
 
4.3%
cdfg1252002019000001 1
 
4.3%
cdfg1252002016000001 1
 
4.3%
cdfg1252002015000002 1
 
4.3%
cdfg1252002015000001 1
 
4.3%
cdfg1252002014000003 1
 
4.3%
cdfg1252002014000002 1
 
4.3%
Other values (13) 13
56.5%
2024-05-11T03:28:30.602837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 186
40.4%
2 80
17.4%
1 52
 
11.3%
5 25
 
5.4%
C 23
 
5.0%
D 23
 
5.0%
F 23
 
5.0%
G 23
 
5.0%
9 12
 
2.6%
4 5
 
1.1%
Other values (3) 8
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 368
80.0%
Uppercase Letter 92
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 186
50.5%
2 80
21.7%
1 52
 
14.1%
5 25
 
6.8%
9 12
 
3.3%
4 5
 
1.4%
3 4
 
1.1%
6 3
 
0.8%
8 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
C 23
25.0%
D 23
25.0%
F 23
25.0%
G 23
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 368
80.0%
Latin 92
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 186
50.5%
2 80
21.7%
1 52
 
14.1%
5 25
 
6.8%
9 12
 
3.3%
4 5
 
1.4%
3 4
 
1.1%
6 3
 
0.8%
8 1
 
0.3%
Latin
ValueCountFrequency (%)
C 23
25.0%
D 23
25.0%
F 23
25.0%
G 23
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 460
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 186
40.4%
2 80
17.4%
1 52
 
11.3%
5 25
 
5.4%
C 23
 
5.0%
D 23
 
5.0%
F 23
 
5.0%
G 23
 
5.0%
9 12
 
2.6%
4 5
 
1.1%
Other values (3) 8
 
1.7%

인허가일자
Date

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum1974-02-25 00:00:00
Maximum2024-01-23 00:00:00
2024-05-11T03:28:31.102697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:28:31.566669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
1
19 
3
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 19
82.6%
3 4
 
17.4%

Length

2024-05-11T03:28:32.110938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:28:32.556371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 19
82.6%
3 4
 
17.4%

영업상태명
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
영업/정상
19 
폐업
4 

Length

Max length5
Median length5
Mean length4.4782609
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 19
82.6%
폐업 4
 
17.4%

Length

2024-05-11T03:28:32.911666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:28:33.231310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 19
82.6%
폐업 4
 
17.4%

상세영업상태코드
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
13
19 
3
4 

Length

Max length2
Median length2
Mean length1.826087
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 19
82.6%
3 4
 
17.4%

Length

2024-05-11T03:28:33.582730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:28:33.901465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 19
82.6%
3 4
 
17.4%

상세영업상태명
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
영업중
19 
폐업
4 

Length

Max length3
Median length3
Mean length2.826087
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 19
82.6%
폐업 4
 
17.4%

Length

2024-05-11T03:28:34.273622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:28:34.587720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 19
82.6%
폐업 4
 
17.4%

폐업일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
19 
20010207
 
1
20130313
 
1
20160919
 
1
20220914
 
1

Length

Max length8
Median length4
Mean length4.6956522
Min length4

Unique

Unique4 ?
Unique (%)17.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row20010207
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 19
82.6%
20010207 1
 
4.3%
20130313 1
 
4.3%
20160919 1
 
4.3%
20220914 1
 
4.3%

Length

2024-05-11T03:28:34.960618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:28:35.336318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
82.6%
20010207 1
 
4.3%
20130313 1
 
4.3%
20160919 1
 
4.3%
20220914 1
 
4.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

전화번호
Text

MISSING 

Distinct14
Distinct (%)100.0%
Missing9
Missing (%)39.1%
Memory size316.0 B
2024-05-11T03:28:35.647586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.214286
Min length8

Characters and Unicode

Total characters143
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

Unique14 ?
Unique (%)100.0%

Sample

1st row982-2525
2nd row988-1113
3rd row993-9991
4th row995-0162
5th row997-4046
ValueCountFrequency (%)
982-2525 1
 
7.1%
988-1113 1
 
7.1%
993-9991 1
 
7.1%
995-0162 1
 
7.1%
997-4046 1
 
7.1%
02-2267-1987 1
 
7.1%
02-983-6637 1
 
7.1%
02-987-8800 1
 
7.1%
02-908-3530 1
 
7.1%
02-763-3737 1
 
7.1%
Other values (4) 4
28.6%
2024-05-11T03:28:36.383966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 22
15.4%
9 19
13.3%
2 19
13.3%
0 19
13.3%
8 12
8.4%
3 12
8.4%
7 10
7.0%
6 9
6.3%
5 8
 
5.6%
1 8
 
5.6%
Other values (2) 5
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 120
83.9%
Dash Punctuation 22
 
15.4%
Close Punctuation 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 19
15.8%
2 19
15.8%
0 19
15.8%
8 12
10.0%
3 12
10.0%
7 10
8.3%
6 9
7.5%
5 8
6.7%
1 8
6.7%
4 4
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 143
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 22
15.4%
9 19
13.3%
2 19
13.3%
0 19
13.3%
8 12
8.4%
3 12
8.4%
7 10
7.0%
6 9
6.3%
5 8
 
5.6%
1 8
 
5.6%
Other values (2) 5
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 143
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 22
15.4%
9 19
13.3%
2 19
13.3%
0 19
13.3%
8 12
8.4%
3 12
8.4%
7 10
7.0%
6 9
6.3%
5 8
 
5.6%
1 8
 
5.6%
Other values (2) 5
 
3.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)87.5%
Missing7
Missing (%)30.4%
Infinite0
Infinite (%)0.0%
Mean142758.81
Minimum142071
Maximum142892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T03:28:36.774102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum142071
5-th percentile142092.75
Q1142812
median142866.5
Q3142880
95-th percentile142892
Maximum142892
Range821
Interquartile range (IQR)68

Descriptive statistics

Standard deviation264.84668
Coefficient of variation (CV)0.0018552037
Kurtosis4.6785211
Mean142758.81
Median Absolute Deviation (MAD)25.5
Skewness-2.438836
Sum2284141
Variance70143.762
MonotonicityNot monotonic
2024-05-11T03:28:37.083384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
142812 2
 
8.7%
142892 2
 
8.7%
142886 1
 
4.3%
142879 1
 
4.3%
142883 1
 
4.3%
142821 1
 
4.3%
142100 1
 
4.3%
142866 1
 
4.3%
142801 1
 
4.3%
142071 1
 
4.3%
Other values (4) 4
17.4%
(Missing) 7
30.4%
ValueCountFrequency (%)
142071 1
4.3%
142100 1
4.3%
142801 1
4.3%
142812 2
8.7%
142813 1
4.3%
142821 1
4.3%
142866 1
4.3%
142867 1
4.3%
142872 1
4.3%
142874 1
4.3%
ValueCountFrequency (%)
142892 2
8.7%
142886 1
4.3%
142883 1
4.3%
142879 1
4.3%
142874 1
4.3%
142872 1
4.3%
142867 1
4.3%
142866 1
4.3%
142821 1
4.3%
142813 1
4.3%

지번주소
Text

Distinct21
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-11T03:28:37.438313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length24.217391
Min length20

Characters and Unicode

Total characters557
Distinct characters38
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

Unique19 ?
Unique (%)82.6%

Sample

1st row서울특별시 강북구 수유동 ***-***번지
2nd row서울특별시 강북구 미아동 ***-*번지
3rd row서울특별시 강북구 수유동 ***-**번지
4th row서울특별시 강북구 우이동 **-**번지
5th row서울특별시 강북구 수유동 ***-*번지
ValueCountFrequency (%)
서울특별시 23
21.7%
강북구 23
21.7%
번지 16
15.1%
수유동 9
 
8.5%
8
 
7.5%
미아동 7
 
6.6%
호 5
 
4.7%
번동 4
 
3.8%
층 3
 
2.8%
우이동 3
 
2.8%
Other values (5) 5
 
4.7%
2024-05-11T03:28:38.440360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 122
21.9%
98
17.6%
동 25
 
4.5%
강 24
 
4.3%
북 24
 
4.3%
서 23
 
4.1%
구 23
 
4.1%
- 23
 
4.1%
울 23
 
4.1%
시 23
 
4.1%
Other values (28) 149
26.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 312
56.0%
Other Punctuation 122
 
21.9%
Space Separator 98
 
17.6%
Dash Punctuation 23
 
4.1%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 25
 
8.0%
강 24
 
7.7%
북 24
 
7.7%
서 23
 
7.4%
구 23
 
7.4%
울 23
 
7.4%
시 23
 
7.4%
별 23
 
7.4%
특 23
 
7.4%
번 21
 
6.7%
Other values (23) 80
25.6%
Other Punctuation
ValueCountFrequency (%)
* 122
100.0%
Space Separator
ValueCountFrequency (%)
98
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 312
56.0%
Common 245
44.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 25
 
8.0%
강 24
 
7.7%
북 24
 
7.7%
서 23
 
7.4%
구 23
 
7.4%
울 23
 
7.4%
시 23
 
7.4%
별 23
 
7.4%
특 23
 
7.4%
번 21
 
6.7%
Other values (23) 80
25.6%
Common
ValueCountFrequency (%)
* 122
49.8%
98
40.0%
- 23
 
9.4%
( 1
 
0.4%
) 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 312
56.0%
ASCII 245
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 122
49.8%
98
40.0%
- 23
 
9.4%
( 1
 
0.4%
) 1
 
0.4%
Hangul
ValueCountFrequency (%)
동 25
 
8.0%
강 24
 
7.7%
북 24
 
7.7%
서 23
 
7.4%
구 23
 
7.4%
울 23
 
7.4%
시 23
 
7.4%
별 23
 
7.4%
특 23
 
7.4%
번 21
 
6.7%
Other values (23) 80
25.6%

도로명주소
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing1
Missing (%)4.3%
Memory size316.0 B
2024-05-11T03:28:39.035372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length36
Mean length28.727273
Min length22

Characters and Unicode

Total characters632
Distinct characters58
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

Unique22 ?
Unique (%)100.0%

Sample

1st row서울특별시 강북구 수유로*길 * (수유동)
2nd row서울특별시 강북구 도봉로 *** (미아동)
3rd row서울특별시 강북구 한천로 ****-* (수유동)
4th row서울특별시 강북구 인수봉로 *** (수유동)
5th row서울특별시 강북구 삼양로**길 ** (미아동)
ValueCountFrequency (%)
23
18.3%
서울특별시 22
17.5%
강북구 22
17.5%
수유동 9
 
7.1%
호 6
 
4.8%
미아동 6
 
4.8%
층 4
 
3.2%
번동 4
 
3.2%
우이동 2
 
1.6%
도봉로**길 2
 
1.6%
Other values (26) 26
20.6%
2024-05-11T03:28:40.106942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 106
16.8%
106
16.8%
동 25
 
4.0%
) 23
 
3.6%
강 23
 
3.6%
북 23
 
3.6%
( 23
 
3.6%
로 22
 
3.5%
울 22
 
3.5%
서 22
 
3.5%
Other values (48) 237
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 359
56.8%
Other Punctuation 115
 
18.2%
Space Separator 106
 
16.8%
Close Punctuation 23
 
3.6%
Open Punctuation 23
 
3.6%
Dash Punctuation 6
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 25
 
7.0%
강 23
 
6.4%
북 23
 
6.4%
로 22
 
6.1%
울 22
 
6.1%
서 22
 
6.1%
구 22
 
6.1%
시 22
 
6.1%
별 22
 
6.1%
특 22
 
6.1%
Other values (42) 134
37.3%
Other Punctuation
ValueCountFrequency (%)
* 106
92.2%
, 9
 
7.8%
Space Separator
ValueCountFrequency (%)
106
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 359
56.8%
Common 273
43.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 25
 
7.0%
강 23
 
6.4%
북 23
 
6.4%
로 22
 
6.1%
울 22
 
6.1%
서 22
 
6.1%
구 22
 
6.1%
시 22
 
6.1%
별 22
 
6.1%
특 22
 
6.1%
Other values (42) 134
37.3%
Common
ValueCountFrequency (%)
* 106
38.8%
106
38.8%
) 23
 
8.4%
( 23
 
8.4%
, 9
 
3.3%
- 6
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 359
56.8%
ASCII 273
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 106
38.8%
106
38.8%
) 23
 
8.4%
( 23
 
8.4%
, 9
 
3.3%
- 6
 
2.2%
Hangul
ValueCountFrequency (%)
동 25
 
7.0%
강 23
 
6.4%
북 23
 
6.4%
로 22
 
6.1%
울 22
 
6.1%
서 22
 
6.1%
구 22
 
6.1%
시 22
 
6.1%
별 22
 
6.1%
특 22
 
6.1%
Other values (42) 134
37.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)95.0%
Missing3
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean93195.5
Minimum1003
Maximum142892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T03:28:40.577083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1003
5-th percentile1018.2
Q11137.75
median142812
Q3142868.25
95-th percentile142883.45
Maximum142892
Range141889
Interquartile range (IQR)141730.5

Descriptive statistics

Standard deviation69341.155
Coefficient of variation (CV)0.74403973
Kurtosis-1.7194509
Mean93195.5
Median Absolute Deviation (MAD)69
Skewness-0.68114073
Sum1863910
Variance4.8081957 × 109
MonotonicityNot monotonic
2024-05-11T03:28:41.080331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
142812 2
 
8.7%
142883 1
 
4.3%
142821 1
 
4.3%
1137 1
 
4.3%
1003 1
 
4.3%
1138 1
 
4.3%
1164 1
 
4.3%
1114 1
 
4.3%
142813 1
 
4.3%
142872 1
 
4.3%
Other values (9) 9
39.1%
(Missing) 3
 
13.0%
ValueCountFrequency (%)
1003 1
4.3%
1019 1
4.3%
1072 1
4.3%
1114 1
4.3%
1137 1
4.3%
1138 1
4.3%
1164 1
4.3%
142071 1
4.3%
142801 1
4.3%
142812 2
8.7%
ValueCountFrequency (%)
142892 1
4.3%
142883 1
4.3%
142879 1
4.3%
142874 1
4.3%
142872 1
4.3%
142867 1
4.3%
142866 1
4.3%
142821 1
4.3%
142813 1
4.3%
142812 2
8.7%

사업장명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-11T03:28:41.798214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length6.3913043
Min length3

Characters and Unicode

Total characters147
Distinct characters84
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row성광전산(주)
2nd row(주)새롬기획
3rd row동아기업사
4th row스포츠경마
5th row(주)백경피앤피
ValueCountFrequency (%)
성광전산(주 1
 
3.7%
신커뮤니케이션 1
 
3.7%
허브 1
 
3.7%
디자인 1
 
3.7%
주)원포인트듀오 1
 
3.7%
kpm 1
 
3.7%
주)하얀울타리 1
 
3.7%
동은디앤피 1
 
3.7%
강북지사 1
 
3.7%
주)한길 1
 
3.7%
Other values (17) 17
63.0%
2024-05-11T03:28:43.001701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 7
 
4.8%
주 7
 
4.8%
) 7
 
4.8%
사 6
 
4.1%
인 6
 
4.1%
화 5
 
3.4%
문 4
 
2.7%
4
 
2.7%
경 3
 
2.0%
피 3
 
2.0%
Other values (74) 95
64.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 126
85.7%
Open Punctuation 7
 
4.8%
Close Punctuation 7
 
4.8%
Space Separator 4
 
2.7%
Uppercase Letter 3
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 7
 
5.6%
사 6
 
4.8%
인 6
 
4.8%
화 5
 
4.0%
문 4
 
3.2%
경 3
 
2.4%
피 3
 
2.4%
시 3
 
2.4%
스 3
 
2.4%
포 3
 
2.4%
Other values (68) 83
65.9%
Uppercase Letter
ValueCountFrequency (%)
P 1
33.3%
K 1
33.3%
M 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 126
85.7%
Common 18
 
12.2%
Latin 3
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 7
 
5.6%
사 6
 
4.8%
인 6
 
4.8%
화 5
 
4.0%
문 4
 
3.2%
경 3
 
2.4%
피 3
 
2.4%
시 3
 
2.4%
스 3
 
2.4%
포 3
 
2.4%
Other values (68) 83
65.9%
Common
ValueCountFrequency (%)
( 7
38.9%
) 7
38.9%
4
22.2%
Latin
ValueCountFrequency (%)
P 1
33.3%
K 1
33.3%
M 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 126
85.7%
ASCII 21
 
14.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 7
33.3%
) 7
33.3%
4
19.0%
P 1
 
4.8%
K 1
 
4.8%
M 1
 
4.8%
Hangul
ValueCountFrequency (%)
주 7
 
5.6%
사 6
 
4.8%
인 6
 
4.8%
화 5
 
4.0%
문 4
 
3.2%
경 3
 
2.4%
피 3
 
2.4%
시 3
 
2.4%
스 3
 
2.4%
포 3
 
2.4%
Other values (68) 83
65.9%

최종수정일자
Date

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2003-04-17 19:38:15
Maximum2024-01-23 17:58:15
2024-05-11T03:28:43.511627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:28:43.999378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

데이터갱신구분
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
I
18 
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 18
78.3%
U 5
 
21.7%

Length

2024-05-11T03:28:44.507360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:28:44.921945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 18
78.3%
u 5
 
21.7%

데이터갱신일자
Date

Distinct8
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2018-08-31 23:59:59
Maximum2023-11-30 23:04:00
2024-05-11T03:28:45.345333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:28:45.891429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing1
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean201890.56
Minimum200491.92
Maximum203127.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T03:28:46.401088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200491.92
5-th percentile200833.31
Q1201529.29
median201923.25
Q3202313.75
95-th percentile203001.81
Maximum203127.3
Range2635.3835
Interquartile range (IQR)784.45703

Descriptive statistics

Standard deviation737.52432
Coefficient of variation (CV)0.0036530898
Kurtosis-0.62080851
Mean201890.56
Median Absolute Deviation (MAD)403.18333
Skewness0.0033483536
Sum4441592.2
Variance543942.12
MonotonicityNot monotonic
2024-05-11T03:28:46.857495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
201574.453841638 1
 
4.3%
200972.629378379 1
 
4.3%
203127.299636725 1
 
4.3%
200829.653323767 1
 
4.3%
202886.755874852 1
 
4.3%
202537.911994276 1
 
4.3%
201938.133235647 1
 
4.3%
201601.361249167 1
 
4.3%
201928.00856614 1
 
4.3%
202328.542476953 1
 
4.3%
Other values (12) 12
52.2%
ValueCountFrequency (%)
200491.916160361 1
4.3%
200829.653323767 1
4.3%
200902.806414022 1
4.3%
200972.629378379 1
4.3%
201396.820926877 1
4.3%
201522.175825751 1
4.3%
201550.636674218 1
4.3%
201574.453841638 1
4.3%
201601.361249167 1
4.3%
201660.908301008 1
4.3%
ValueCountFrequency (%)
203127.299636725 1
4.3%
203003.196372089 1
4.3%
202975.415452234 1
4.3%
202886.755874852 1
4.3%
202537.911994276 1
4.3%
202328.542476953 1
4.3%
202269.364853819 1
4.3%
202182.669604953 1
4.3%
201993.073775883 1
4.3%
201938.133235647 1
4.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing1
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean459076.29
Minimum457179.3
Maximum461814.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T03:28:47.321557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum457179.3
5-th percentile457456.23
Q1458156.1
median458992.1
Q3459662.32
95-th percentile460938.57
Maximum461814.81
Range4635.5059
Interquartile range (IQR)1506.2269

Descriptive statistics

Standard deviation1174.4559
Coefficient of variation (CV)0.0025583022
Kurtosis0.077781417
Mean459076.29
Median Absolute Deviation (MAD)772.26899
Skewness0.471127
Sum10099678
Variance1379346.6
MonotonicityNot monotonic
2024-05-11T03:28:47.929827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
458942.249618622 1
 
4.3%
460961.077821434 1
 
4.3%
458970.626860311 1
 
4.3%
461814.805797528 1
 
4.3%
459070.360829272 1
 
4.3%
457556.846505967 1
 
4.3%
459013.56871694 1
 
4.3%
458417.260768531 1
 
4.3%
459465.289250912 1
 
4.3%
459260.749734616 1
 
4.3%
Other values (12) 12
52.2%
ValueCountFrequency (%)
457179.299869564 1
4.3%
457450.935983599 1
4.3%
457556.846505967 1
4.3%
457865.888910267 1
4.3%
458034.186453469 1
4.3%
458069.042553971 1
4.3%
458417.260768531 1
4.3%
458722.544970762 1
4.3%
458939.165556089 1
4.3%
458942.249618622 1
4.3%
ValueCountFrequency (%)
461814.805797528 1
4.3%
460961.077821434 1
4.3%
460510.981173179 1
4.3%
460431.84311996 1
4.3%
459803.243745625 1
4.3%
459725.489821099 1
4.3%
459472.82637676 1
4.3%
459465.289250912 1
4.3%
459260.749734616 1
4.3%
459070.360829272 1
4.3%

문화체육업종명
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
인쇄사
19 
<NA>
4 

Length

Max length4
Median length3
Mean length3.173913
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인쇄사 19
82.6%
<NA> 4
 
17.4%

Length

2024-05-11T03:28:48.414485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:28:48.764422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인쇄사 19
82.6%
na 4
 
17.4%

문화사업자구분명
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
출판인쇄업
19 
<NA>
4 

Length

Max length5
Median length5
Mean length4.826087
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판인쇄업 19
82.6%
<NA> 4
 
17.4%

Length

2024-05-11T03:28:49.164397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:28:49.488352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 19
82.6%
na 4
 
17.4%

총층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
20 
0
 
2
5
 
1

Length

Max length4
Median length4
Mean length3.6086957
Min length1

Unique

Unique1 ?
Unique (%)4.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row0
5th row5

Common Values

ValueCountFrequency (%)
<NA> 20
87.0%
0 2
 
8.7%
5 1
 
4.3%

Length

2024-05-11T03:28:49.878117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:28:50.292689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
87.0%
0 2
 
8.7%
5 1
 
4.3%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing22
Missing (%)95.7%
Memory size316.0 B
2024-05-11T03:28:50.525340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

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

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row기타
ValueCountFrequency (%)
기타 1
100.0%
2024-05-11T03:28:51.244214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

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

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

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

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

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

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

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

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

시설면적
Categorical

Distinct5
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
15 
0.0
5 
108.9
 
1
20.0
 
1
18.9
 
1

Length

Max length5
Median length4
Mean length3.826087
Min length3

Unique

Unique3 ?
Unique (%)13.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row108.9

Common Values

ValueCountFrequency (%)
<NA> 15
65.2%
0.0 5
 
21.7%
108.9 1
 
4.3%
20.0 1
 
4.3%
18.9 1
 
4.3%

Length

2024-05-11T03:28:51.845721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:28:52.296361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
65.2%
0.0 5
 
21.7%
108.9 1
 
4.3%
20.0 1
 
4.3%
18.9 1
 
4.3%

지상층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
19 
0
2 
4
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.4782609
Min length1

Unique

Unique2 ?
Unique (%)8.7%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row0
5th row4

Common Values

ValueCountFrequency (%)
<NA> 19
82.6%
0 2
 
8.7%
4 1
 
4.3%
1 1
 
4.3%

Length

2024-05-11T03:28:52.863005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:28:53.215856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
82.6%
0 2
 
8.7%
4 1
 
4.3%
1 1
 
4.3%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
20 
0
 
2
1
 
1

Length

Max length4
Median length4
Mean length3.6086957
Min length1

Unique

Unique1 ?
Unique (%)4.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row0
5th row1

Common Values

ValueCountFrequency (%)
<NA> 20
87.0%
0 2
 
8.7%
1 1
 
4.3%

Length

2024-05-11T03:28:53.717783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:28:54.146377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
87.0%
0 2
 
8.7%
1 1
 
4.3%

건물용도명
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
19 
근린생활시설
4 

Length

Max length6
Median length4
Mean length4.3478261
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 19
82.6%
근린생활시설 4
 
17.4%

Length

2024-05-11T03:28:54.860709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:28:55.215136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
82.6%
근린생활시설 4
 
17.4%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
22 
0
 
1

Length

Max length4
Median length4
Mean length3.8695652
Min length1

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
95.7%
0 1
 
4.3%

Length

2024-05-11T03:28:55.583683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:28:55.924469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
95.7%
0 1
 
4.3%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
22 
0
 
1

Length

Max length4
Median length4
Mean length3.8695652
Min length1

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
95.7%
0 1
 
4.3%

Length

2024-05-11T03:28:56.227885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:28:56.634834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
95.7%
0 1
 
4.3%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
22 
0
 
1

Length

Max length4
Median length4
Mean length3.8695652
Min length1

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
95.7%
0 1
 
4.3%

Length

2024-05-11T03:28:57.126690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:28:57.594561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
95.7%
0 1
 
4.3%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
22 
0
 
1

Length

Max length4
Median length4
Mean length3.8695652
Min length1

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
95.7%
0 1
 
4.3%

Length

2024-05-11T03:28:58.061946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:28:58.428186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
95.7%
0 1
 
4.3%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
22 
0
 
1

Length

Max length4
Median length4
Mean length3.8695652
Min length1

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
95.7%
0 1
 
4.3%

Length

2024-05-11T03:28:58.767835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:28:59.143067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
95.7%
0 1
 
4.3%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

지역구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing22
Missing (%)95.7%
Memory size316.0 B
2024-05-11T03:28:59.506134image/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%
2024-05-11T03:29:00.210176image/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
03080000CDFG125200199300000119931216<NA>1영업/정상13영업중<NA><NA><NA><NA>982-2525<NA>142886서울특별시 강북구 수유동 ***-***번지서울특별시 강북구 수유로*길 * (수유동)<NA>성광전산(주)2003-04-17 19:38:15I2018-08-31 23:59:59.0<NA>201574.453842458942.249619인쇄사출판인쇄업<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>
13080000CDFG125200199400000119940610<NA>1영업/정상13영업중<NA><NA><NA><NA>988-1113<NA>142812서울특별시 강북구 미아동 ***-*번지서울특별시 강북구 도봉로 *** (미아동)142812(주)새롬기획2013-12-11 14:20:59I2018-08-31 23:59:59.0<NA>202269.364854458034.186453인쇄사출판인쇄업<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>
23080000CDFG125200199400000219940926<NA>1영업/정상13영업중<NA><NA><NA><NA>993-9991<NA>142879서울특별시 강북구 수유동 ***-**번지서울특별시 강북구 한천로 ****-* (수유동)142879동아기업사2013-12-11 14:26:34I2018-08-31 23:59:59.0<NA>201396.820927460510.981173인쇄사출판인쇄업<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>
33080000CDFG125200199800000119981201<NA>3폐업3폐업20010207<NA><NA><NA>995-0162<NA>142892서울특별시 강북구 우이동 **-**번지<NA><NA>스포츠경마2003-04-17 19:38:15I2018-08-31 23:59:59.0<NA><NA><NA>인쇄사출판인쇄업0<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>
43080000CDFG125200200600000120060403<NA>1영업/정상13영업중<NA><NA><NA><NA>997-4046<NA>142883서울특별시 강북구 수유동 ***-*번지서울특별시 강북구 인수봉로 *** (수유동)142883(주)백경피앤피2013-12-11 14:17:50I2018-08-31 23:59:59.0<NA>200902.806414459803.243746인쇄사출판인쇄업5기타<NA>108.941근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
53080000CDFG125200200600000220060727<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>142821서울특별시 강북구 미아동 ***-**번지서울특별시 강북구 삼양로**길 ** (미아동)142821다음기획2013-12-11 14:18:49I2018-08-31 23:59:59.0<NA>201550.636674457865.88891인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63080000CDFG12520020090000011998-06-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2267-1987<NA><NA>서울특별시 강북구 수유동 ***-**서울특별시 강북구 노해로*가길 **, ***호 (수유동)1072반석문화인쇄사2024-01-12 09:31:58U2023-11-30 23:04:00.0<NA>201993.073776459725.489821<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73080000CDFG125200200900000220090306<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-***서울특별시 강북구 삼각산로 **-* (수유동)1019(주)백경인포시스템2022-07-27 11:34:29U2021-12-06 22:09:00.0<NA>200491.91616459472.826377<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83080000CDFG125200200900000320090807<NA>3폐업3폐업20130313<NA><NA><NA>02-983-6637<NA>142100서울특별시 강북구 미아동 ***-**번지 (궁터길 *-*) *층서울특별시 강북구 솔샘로 ***-* (미아동,(궁터길 *-*) *층)<NA>페이퍼 랩2013-03-14 08:21:12I2018-08-31 23:59:59.0<NA>201918.488748457450.935984인쇄사출판인쇄업<NA><NA><NA>20.0<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>
93080000CDFG125200201000000120100517<NA>1영업/정상13영업중<NA><NA><NA><NA>02-987-8800<NA>142812서울특별시 강북구 미아동 ***-*번지 *층서울특별시 강북구 도봉로**길 ** (미아동)142812현대시스템2013-12-11 14:22:06I2018-08-31 23:59:59.0<NA>202182.669605458069.042554인쇄사출판인쇄업<NA><NA><NA><NA><NA><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
133080000CDFG125200201200000320120913<NA>1영업/정상13영업중<NA><NA><NA><NA>02-908-3530<NA>142892서울특별시 강북구 우이동 **-**번지 ***호서울특별시 강북구 삼양로***가길 **-* (우이동)142892엘까미노2013-12-11 14:25:39I2018-08-31 23:59:59.0<NA>200972.629378460961.077821인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
143080000CDFG125200201400000220141112<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>142874서울특별시 강북구 수유동 **-***번지서울특별시 강북구 삼양로 *** (수유동)142874하나문화사2014-11-12 17:09:23I2018-08-31 23:59:59.0<NA>201522.175826458722.544971인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
153080000CDFG125200201400000319740225<NA>1영업/정상13영업중<NA><NA><NA><NA>02-763-3737<NA>142867서울특별시 강북구 번동 ***-**서울특별시 강북구 오패산로**길 ** (번동)142867유림문화사2020-12-22 16:29:29U2020-12-24 02:40:00.0<NA>202328.542477459260.749735인쇄사출판인쇄업<NA><NA><NA><NA><NA><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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173080000CDFG125200201500000220150521<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>142813서울특별시 강북구 미아동 ***-**번지서울특별시 강북구 삼양로**가길 * (미아동)142813동은디앤피2015-05-21 09:33:17I2018-08-31 23:59:59.0<NA>201601.361249458417.260769인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
183080000CDFG125200201600000120160202<NA>1영업/정상13영업중<NA><NA><NA><NA>02-985-9501<NA><NA>서울특별시 강북구 수유동 **-*번지서울특별시 강북구 도봉로**길 *, *층 *호 (수유동)1114(주)하얀울타리2016-02-02 11:37:52I2018-08-31 23:59:59.0<NA>201938.133236459013.568717인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
193080000CDFG125200201900000120190115<NA>1영업/정상13영업중<NA><NA><NA><NA>02)2263-8015<NA><NA>서울특별시 강북구 미아동 ***-*번지 준타워 ***호서울특별시 강북구 도봉로**가길 **, 준타워 ***호 (미아동)1164KPM2019-01-15 11:10:30I2019-01-17 02:20:51.0<NA>202537.911994457556.846506인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
203080000CDFG125200202200000120100714<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 번동 ***-** 강북전자공단 ***호서울특별시 강북구 덕릉로**길 **, 강북전자공단 *층 ***호 (번동)1138(주)원포인트듀오2022-03-15 14:15:38I2022-03-17 00:22:35.0<NA>202886.755875459070.360829인쇄사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
213080000CDFG125200202200000220120424<NA>3폐업3폐업20220914<NA><NA><NA><NA><NA><NA>서울특별시 강북구 우이동 ***-** 가동 *호서울특별시 강북구 삼양로***길 **, 가동 *호 (우이동)1003디자인 허브2022-09-14 11:39:49U2021-12-08 23:06:00.0<NA>200829.653324461814.805798<NA><NA><NA><NA><NA><NA><NA><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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