Overview

Dataset statistics

Number of variables34
Number of observations359
Missing cells3471
Missing cells (%)28.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory101.8 KiB
Average record size in memory290.4 B

Variable types

Categorical12
Text6
DateTime4
Numeric5
Unsupported7

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,공사립구분명,보험가입여부코드,지도자수,건축물동수,건축물연면적,회원모집총인원,세부업종명,법인명
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-19630/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (97.2%)Imbalance
문화체육업종명 is highly imbalanced (64.6%)Imbalance
공사립구분명 is highly imbalanced (64.6%)Imbalance
회원모집총인원 is highly imbalanced (91.2%)Imbalance
폐업일자 has 79 (22.0%) missing valuesMissing
휴업시작일자 has 359 (100.0%) missing valuesMissing
휴업종료일자 has 359 (100.0%) missing valuesMissing
재개업일자 has 359 (100.0%) missing valuesMissing
전화번호 has 292 (81.3%) missing valuesMissing
소재지면적 has 359 (100.0%) missing valuesMissing
소재지우편번호 has 89 (24.8%) missing valuesMissing
도로명주소 has 40 (11.1%) missing valuesMissing
도로명우편번호 has 253 (70.5%) missing valuesMissing
업태구분명 has 359 (100.0%) missing valuesMissing
좌표정보(X) has 18 (5.0%) missing valuesMissing
좌표정보(Y) has 18 (5.0%) missing valuesMissing
건축물연면적 has 169 (47.1%) missing valuesMissing
세부업종명 has 359 (100.0%) missing valuesMissing
법인명 has 359 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
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
세부업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
법인명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축물연면적 has 143 (39.8%) zerosZeros

Reproduction

Analysis started2024-04-29 19:58:54.603555
Analysis finished2024-04-29 19:58:55.421922
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
3030000
359 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3030000
2nd row3030000
3rd row3030000
4th row3030000
5th row3030000

Common Values

ValueCountFrequency (%)
3030000 359
100.0%

Length

2024-04-30T04:58:55.490561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:58:55.586175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 359
100.0%

관리번호
Text

UNIQUE 

Distinct359
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-04-30T04:58:55.731814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters7180
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

Unique359 ?
Unique (%)100.0%

Sample

1st rowCDFH3301081981000001
2nd rowCDFH3301081981000002
3rd rowCDFH3301081990000001
4th rowCDFH3301081990000002
5th rowCDFH3301081990000004
ValueCountFrequency (%)
cdfh3301081981000001 1
 
0.3%
cdfh3301082007000014 1
 
0.3%
cdfh3301082005000009 1
 
0.3%
cdfh3301082005000008 1
 
0.3%
cdfh3301082005000007 1
 
0.3%
cdfh3301082005000006 1
 
0.3%
cdfh3301082005000005 1
 
0.3%
cdfh3301082005000004 1
 
0.3%
cdfh3301082005000003 1
 
0.3%
cdfh3301082005000002 1
 
0.3%
Other values (349) 349
97.2%
2024-04-30T04:58:56.010916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2709
37.7%
3 800
 
11.1%
1 752
 
10.5%
8 452
 
6.3%
9 431
 
6.0%
C 359
 
5.0%
D 359
 
5.0%
F 359
 
5.0%
H 359
 
5.0%
2 300
 
4.2%
Other values (4) 300
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5744
80.0%
Uppercase Letter 1436
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2709
47.2%
3 800
 
13.9%
1 752
 
13.1%
8 452
 
7.9%
9 431
 
7.5%
2 300
 
5.2%
5 79
 
1.4%
6 77
 
1.3%
7 76
 
1.3%
4 68
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
C 359
25.0%
D 359
25.0%
F 359
25.0%
H 359
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5744
80.0%
Latin 1436
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2709
47.2%
3 800
 
13.9%
1 752
 
13.1%
8 452
 
7.9%
9 431
 
7.5%
2 300
 
5.2%
5 79
 
1.4%
6 77
 
1.3%
7 76
 
1.3%
4 68
 
1.2%
Latin
ValueCountFrequency (%)
C 359
25.0%
D 359
25.0%
F 359
25.0%
H 359
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7180
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2709
37.7%
3 800
 
11.1%
1 752
 
10.5%
8 452
 
6.3%
9 431
 
6.0%
C 359
 
5.0%
D 359
 
5.0%
F 359
 
5.0%
H 359
 
5.0%
2 300
 
4.2%
Other values (4) 300
 
4.2%

인허가일자
Date

Distinct328
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum1981-04-16 00:00:00
Maximum2023-04-12 00:00:00
2024-04-30T04:58:56.139465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:58:56.257985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
358 
20171212
 
1

Length

Max length8
Median length4
Mean length4.0111421
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 358
99.7%
20171212 1
 
0.3%

Length

2024-04-30T04:58:56.389571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:58:56.484754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 358
99.7%
20171212 1
 
0.3%

영업상태코드
Categorical

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
3
199 
4
86 
1
73 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
3 199
55.4%
4 86
24.0%
1 73
 
20.3%
5 1
 
0.3%

Length

2024-04-30T04:58:56.564102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:58:56.645438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 199
55.4%
4 86
24.0%
1 73
 
20.3%
5 1
 
0.3%

영업상태명
Categorical

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
폐업
199 
취소/말소/만료/정지/중지
86 
영업/정상
73 
제외/삭제/전출
 
1

Length

Max length14
Median length2
Mean length5.5013928
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 199
55.4%
취소/말소/만료/정지/중지 86
24.0%
영업/정상 73
 
20.3%
제외/삭제/전출 1
 
0.3%

Length

2024-04-30T04:58:56.736529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:58:56.823725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 199
55.4%
취소/말소/만료/정지/중지 86
24.0%
영업/정상 73
 
20.3%
제외/삭제/전출 1
 
0.3%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.651811
Minimum3
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-30T04:58:56.908826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median3
Q313
95-th percentile35
Maximum35
Range32
Interquartile range (IQR)10

Descriptive statistics

Standard deviation12.983603
Coefficient of variation (CV)1.0262249
Kurtosis-0.80139466
Mean12.651811
Median Absolute Deviation (MAD)0
Skewness0.95779049
Sum4542
Variance168.57396
MonotonicityNot monotonic
2024-04-30T04:58:56.994595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 199
55.4%
35 80
22.3%
13 73
 
20.3%
30 5
 
1.4%
31 1
 
0.3%
15 1
 
0.3%
ValueCountFrequency (%)
3 199
55.4%
13 73
 
20.3%
15 1
 
0.3%
30 5
 
1.4%
31 1
 
0.3%
35 80
22.3%
ValueCountFrequency (%)
35 80
22.3%
31 1
 
0.3%
30 5
 
1.4%
15 1
 
0.3%
13 73
 
20.3%
3 199
55.4%

상세영업상태명
Categorical

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
폐업
199 
직권말소
80 
영업중
73 
허가취소
 
5
등록취소
 
1

Length

Max length4
Median length2
Mean length2.6824513
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 199
55.4%
직권말소 80
22.3%
영업중 73
 
20.3%
허가취소 5
 
1.4%
등록취소 1
 
0.3%
전출 1
 
0.3%

Length

2024-04-30T04:58:57.095620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:58:57.200425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 199
55.4%
직권말소 80
22.3%
영업중 73
 
20.3%
허가취소 5
 
1.4%
등록취소 1
 
0.3%
전출 1
 
0.3%

폐업일자
Date

MISSING 

Distinct183
Distinct (%)65.4%
Missing79
Missing (%)22.0%
Memory size2.9 KiB
Minimum1999-10-18 00:00:00
Maximum2024-02-23 00:00:00
2024-04-30T04:58:57.318760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:58:57.444843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing359
Missing (%)100.0%
Memory size3.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing359
Missing (%)100.0%
Memory size3.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing359
Missing (%)100.0%
Memory size3.3 KiB

전화번호
Text

MISSING 

Distinct66
Distinct (%)98.5%
Missing292
Missing (%)81.3%
Memory size2.9 KiB
2024-04-30T04:58:57.651634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.208955
Min length8

Characters and Unicode

Total characters684
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

Unique65 ?
Unique (%)97.0%

Sample

1st row02-2295-8095
2nd row02-2246-0355
3rd row462-7389
4th row02-465-8600
5th row462-1458
ValueCountFrequency (%)
2292-2382 2
 
3.0%
469-0015 1
 
1.5%
02-2282-3949 1
 
1.5%
02-467-0285 1
 
1.5%
464-8104 1
 
1.5%
2292-3442 1
 
1.5%
2294-0834 1
 
1.5%
02-2297-3269 1
 
1.5%
6407-6644 1
 
1.5%
2295-6076 1
 
1.5%
Other values (56) 56
83.6%
2024-04-30T04:58:57.991535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 134
19.6%
- 103
15.1%
0 77
11.3%
4 76
11.1%
9 72
10.5%
6 50
 
7.3%
8 42
 
6.1%
7 37
 
5.4%
3 35
 
5.1%
5 32
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 581
84.9%
Dash Punctuation 103
 
15.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 134
23.1%
0 77
13.3%
4 76
13.1%
9 72
12.4%
6 50
 
8.6%
8 42
 
7.2%
7 37
 
6.4%
3 35
 
6.0%
5 32
 
5.5%
1 26
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 103
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 684
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 134
19.6%
- 103
15.1%
0 77
11.3%
4 76
11.1%
9 72
10.5%
6 50
 
7.3%
8 42
 
6.1%
7 37
 
5.4%
3 35
 
5.1%
5 32
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 684
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 134
19.6%
- 103
15.1%
0 77
11.3%
4 76
11.1%
9 72
10.5%
6 50
 
7.3%
8 42
 
6.1%
7 37
 
5.4%
3 35
 
5.1%
5 32
 
4.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing359
Missing (%)100.0%
Memory size3.3 KiB

소재지우편번호
Text

MISSING 

Distinct64
Distinct (%)23.7%
Missing89
Missing (%)24.8%
Memory size2.9 KiB
2024-04-30T04:58:58.209649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0111111
Min length6

Characters and Unicode

Total characters1623
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

Unique20 ?
Unique (%)7.4%

Sample

1st row133871
2nd row133871
3rd row133848
4th row133845
5th row133835
ValueCountFrequency (%)
133832 17
 
6.3%
133871 16
 
5.9%
133834 15
 
5.6%
133848 13
 
4.8%
133835 11
 
4.1%
133882 11
 
4.1%
133822 9
 
3.3%
133831 8
 
3.0%
133862 8
 
3.0%
133850 8
 
3.0%
Other values (54) 154
57.0%
2024-04-30T04:58:58.511490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 615
37.9%
1 339
20.9%
8 306
18.9%
2 97
 
6.0%
0 70
 
4.3%
4 53
 
3.3%
5 48
 
3.0%
7 40
 
2.5%
6 32
 
2.0%
9 20
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1620
99.8%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 615
38.0%
1 339
20.9%
8 306
18.9%
2 97
 
6.0%
0 70
 
4.3%
4 53
 
3.3%
5 48
 
3.0%
7 40
 
2.5%
6 32
 
2.0%
9 20
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1623
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 615
37.9%
1 339
20.9%
8 306
18.9%
2 97
 
6.0%
0 70
 
4.3%
4 53
 
3.3%
5 48
 
3.0%
7 40
 
2.5%
6 32
 
2.0%
9 20
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1623
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 615
37.9%
1 339
20.9%
8 306
18.9%
2 97
 
6.0%
0 70
 
4.3%
4 53
 
3.3%
5 48
 
3.0%
7 40
 
2.5%
6 32
 
2.0%
9 20
 
1.2%

지번주소
Text

Distinct344
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-04-30T04:58:58.799814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length23.947075
Min length16

Characters and Unicode

Total characters8597
Distinct characters124
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique330 ?
Unique (%)91.9%

Sample

1st row서울특별시 성동구 행당동 19-54번지
2nd row서울특별시 성동구 행당동 19-101번지
3rd row서울특별시 성동구 용답동 69-3번지
4th row서울특별시 성동구 옥수동 495-12번지
5th row서울특별시 성동구 성수동2가 315-97번지
ValueCountFrequency (%)
서울특별시 359
22.7%
성동구 359
22.7%
성수동2가 101
 
6.4%
행당동 58
 
3.7%
성수동1가 37
 
2.3%
용답동 35
 
2.2%
마장동 25
 
1.6%
2층 19
 
1.2%
3층 18
 
1.1%
도선동 18
 
1.1%
Other values (404) 553
35.0%
2024-04-30T04:58:59.213743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1556
18.1%
동 728
 
8.5%
성 507
 
5.9%
2 368
 
4.3%
서 360
 
4.2%
시 360
 
4.2%
울 360
 
4.2%
특 359
 
4.2%
별 359
 
4.2%
구 359
 
4.2%
Other values (114) 3281
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4933
57.4%
Decimal Number 1792
 
20.8%
Space Separator 1556
 
18.1%
Dash Punctuation 301
 
3.5%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%
Other Punctuation 4
 
< 0.1%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 728
14.8%
성 507
10.3%
서 360
 
7.3%
시 360
 
7.3%
울 360
 
7.3%
특 359
 
7.3%
별 359
 
7.3%
구 359
 
7.3%
지 247
 
5.0%
번 216
 
4.4%
Other values (96) 1078
21.9%
Decimal Number
ValueCountFrequency (%)
2 368
20.5%
1 345
19.3%
3 204
11.4%
5 159
8.9%
9 142
 
7.9%
6 130
 
7.3%
4 123
 
6.9%
7 117
 
6.5%
0 110
 
6.1%
8 94
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
/ 1
 
25.0%
Uppercase Letter
ValueCountFrequency (%)
C 2
66.7%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
1556
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 301
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4933
57.4%
Common 3661
42.6%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 728
14.8%
성 507
10.3%
서 360
 
7.3%
시 360
 
7.3%
울 360
 
7.3%
특 359
 
7.3%
별 359
 
7.3%
구 359
 
7.3%
지 247
 
5.0%
번 216
 
4.4%
Other values (96) 1078
21.9%
Common
ValueCountFrequency (%)
1556
42.5%
2 368
 
10.1%
1 345
 
9.4%
- 301
 
8.2%
3 204
 
5.6%
5 159
 
4.3%
9 142
 
3.9%
6 130
 
3.6%
4 123
 
3.4%
7 117
 
3.2%
Other values (6) 216
 
5.9%
Latin
ValueCountFrequency (%)
C 2
66.7%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4933
57.4%
ASCII 3664
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1556
42.5%
2 368
 
10.0%
1 345
 
9.4%
- 301
 
8.2%
3 204
 
5.6%
5 159
 
4.3%
9 142
 
3.9%
6 130
 
3.5%
4 123
 
3.4%
7 117
 
3.2%
Other values (8) 219
 
6.0%
Hangul
ValueCountFrequency (%)
동 728
14.8%
성 507
10.3%
서 360
 
7.3%
시 360
 
7.3%
울 360
 
7.3%
특 359
 
7.3%
별 359
 
7.3%
구 359
 
7.3%
지 247
 
5.0%
번 216
 
4.4%
Other values (96) 1078
21.9%

도로명주소
Text

MISSING 

Distinct309
Distinct (%)96.9%
Missing40
Missing (%)11.1%
Memory size2.9 KiB
2024-04-30T04:58:59.439768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length39
Mean length28.394984
Min length22

Characters and Unicode

Total characters9058
Distinct characters160
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique299 ?
Unique (%)93.7%

Sample

1st row서울특별시 성동구 마조로 17 (행당동)
2nd row서울특별시 성동구 마조로 7 (행당동)
3rd row서울특별시 성동구 아차산로 110 (성수동2가)
4th row서울특별시 성동구 둘레15길 17 (성수동2가)
5th row서울특별시 성동구 금호로 151 (금호동2가)
ValueCountFrequency (%)
서울특별시 319
 
18.5%
성동구 319
 
18.5%
성수동2가 80
 
4.6%
행당동 41
 
2.4%
성수동1가 31
 
1.8%
왕십리로 28
 
1.6%
3층 25
 
1.5%
용답동 23
 
1.3%
성덕정길 21
 
1.2%
마장동 19
 
1.1%
Other values (374) 815
47.4%
2024-04-30T04:58:59.782718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1590
 
17.6%
동 660
 
7.3%
성 493
 
5.4%
서 330
 
3.6%
시 325
 
3.6%
울 323
 
3.6%
( 322
 
3.6%
) 322
 
3.6%
별 319
 
3.5%
구 319
 
3.5%
Other values (150) 4055
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5386
59.5%
Space Separator 1590
 
17.6%
Decimal Number 1232
 
13.6%
Open Punctuation 322
 
3.6%
Close Punctuation 322
 
3.6%
Other Punctuation 151
 
1.7%
Dash Punctuation 46
 
0.5%
Uppercase Letter 4
 
< 0.1%
Lowercase Letter 4
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 660
 
12.3%
성 493
 
9.2%
서 330
 
6.1%
시 325
 
6.0%
울 323
 
6.0%
별 319
 
5.9%
구 319
 
5.9%
특 319
 
5.9%
로 221
 
4.1%
길 177
 
3.3%
Other values (127) 1900
35.3%
Decimal Number
ValueCountFrequency (%)
1 312
25.3%
2 276
22.4%
3 165
13.4%
4 99
 
8.0%
5 79
 
6.4%
8 77
 
6.2%
7 69
 
5.6%
0 58
 
4.7%
6 53
 
4.3%
9 44
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
o 1
25.0%
w 1
25.0%
e 1
25.0%
r 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
T 1
25.0%
C 1
25.0%
Space Separator
ValueCountFrequency (%)
1590
100.0%
Open Punctuation
ValueCountFrequency (%)
( 322
100.0%
Close Punctuation
ValueCountFrequency (%)
) 322
100.0%
Other Punctuation
ValueCountFrequency (%)
, 151
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5386
59.5%
Common 3664
40.5%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 660
 
12.3%
성 493
 
9.2%
서 330
 
6.1%
시 325
 
6.0%
울 323
 
6.0%
별 319
 
5.9%
구 319
 
5.9%
특 319
 
5.9%
로 221
 
4.1%
길 177
 
3.3%
Other values (127) 1900
35.3%
Common
ValueCountFrequency (%)
1590
43.4%
( 322
 
8.8%
) 322
 
8.8%
1 312
 
8.5%
2 276
 
7.5%
3 165
 
4.5%
, 151
 
4.1%
4 99
 
2.7%
5 79
 
2.2%
8 77
 
2.1%
Other values (6) 271
 
7.4%
Latin
ValueCountFrequency (%)
B 2
25.0%
T 1
12.5%
o 1
12.5%
w 1
12.5%
e 1
12.5%
r 1
12.5%
C 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5386
59.5%
ASCII 3672
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1590
43.3%
( 322
 
8.8%
) 322
 
8.8%
1 312
 
8.5%
2 276
 
7.5%
3 165
 
4.5%
, 151
 
4.1%
4 99
 
2.7%
5 79
 
2.2%
8 77
 
2.1%
Other values (13) 279
 
7.6%
Hangul
ValueCountFrequency (%)
동 660
 
12.3%
성 493
 
9.2%
서 330
 
6.1%
시 325
 
6.0%
울 323
 
6.0%
별 319
 
5.9%
구 319
 
5.9%
특 319
 
5.9%
로 221
 
4.1%
길 177
 
3.3%
Other values (127) 1900
35.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)50.0%
Missing253
Missing (%)70.5%
Infinite0
Infinite (%)0.0%
Mean8413.6226
Minimum4704
Maximum133871
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-30T04:58:59.904691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4704
5-th percentile4709
Q14729.75
median4764
Q34789.75
95-th percentile4804
Maximum133871
Range129167
Interquartile range (IQR)60

Descriptive statistics

Standard deviation21507.199
Coefficient of variation (CV)2.5562353
Kurtosis31.903544
Mean8413.6226
Median Absolute Deviation (MAD)26
Skewness5.770768
Sum891844
Variance4.6255962 × 108
MonotonicityNot monotonic
2024-04-30T04:59:00.019705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4760 10
 
2.8%
4709 6
 
1.7%
4782 5
 
1.4%
4776 5
 
1.4%
4715 5
 
1.4%
4778 4
 
1.1%
4804 4
 
1.1%
4790 3
 
0.8%
4775 3
 
0.8%
4704 2
 
0.6%
Other values (43) 59
 
16.4%
(Missing) 253
70.5%
ValueCountFrequency (%)
4704 2
 
0.6%
4705 1
 
0.3%
4708 1
 
0.3%
4709 6
1.7%
4710 1
 
0.3%
4715 5
1.4%
4718 2
 
0.6%
4720 1
 
0.3%
4723 1
 
0.3%
4724 1
 
0.3%
ValueCountFrequency (%)
133871 1
 
0.3%
133835 1
 
0.3%
133809 1
 
0.3%
4808 2
0.6%
4804 4
1.1%
4803 1
 
0.3%
4801 2
0.6%
4800 1
 
0.3%
4799 1
 
0.3%
4797 1
 
0.3%

사업장명
Text

Distinct279
Distinct (%)77.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-04-30T04:59:00.273678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length5.5988858
Min length2

Characters and Unicode

Total characters2010
Distinct characters270
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique224 ?
Unique (%)62.4%

Sample

1st row영당구장
2nd row맘모스당구장
3rd row지하철당구장
4th row명성당구장
5th row한성당구장
ValueCountFrequency (%)
당구장 37
 
8.6%
당구클럽 18
 
4.2%
sbs당구장 5
 
1.2%
그린당구장 5
 
1.2%
스포츠당구장 4
 
0.9%
당구 4
 
0.9%
클럽 4
 
0.9%
허슬러당구장 4
 
0.9%
준당구장 4
 
0.9%
특실당구장 4
 
0.9%
Other values (276) 343
79.4%
2024-04-30T04:59:00.659956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 339
16.9%
당 329
16.4%
장 293
 
14.6%
74
 
3.7%
스 35
 
1.7%
럽 35
 
1.7%
클 34
 
1.7%
리 32
 
1.6%
성 27
 
1.3%
드 19
 
0.9%
Other values (260) 793
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1795
89.3%
Uppercase Letter 92
 
4.6%
Space Separator 74
 
3.7%
Decimal Number 25
 
1.2%
Lowercase Letter 14
 
0.7%
Other Punctuation 3
 
0.1%
Dash Punctuation 3
 
0.1%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 339
18.9%
당 329
18.3%
장 293
16.3%
스 35
 
1.9%
럽 35
 
1.9%
클 34
 
1.9%
리 32
 
1.8%
성 27
 
1.5%
드 19
 
1.1%
아 18
 
1.0%
Other values (217) 634
35.3%
Uppercase Letter
ValueCountFrequency (%)
S 18
19.6%
B 18
19.6%
C 6
 
6.5%
I 5
 
5.4%
E 5
 
5.4%
M 5
 
5.4%
K 5
 
5.4%
N 4
 
4.3%
L 3
 
3.3%
U 3
 
3.3%
Other values (11) 20
21.7%
Lowercase Letter
ValueCountFrequency (%)
s 3
21.4%
y 2
14.3%
a 2
14.3%
r 1
 
7.1%
k 1
 
7.1%
n 1
 
7.1%
t 1
 
7.1%
i 1
 
7.1%
c 1
 
7.1%
e 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 7
28.0%
1 6
24.0%
0 4
16.0%
8 3
12.0%
4 3
12.0%
5 1
 
4.0%
9 1
 
4.0%
Space Separator
ValueCountFrequency (%)
74
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1795
89.3%
Common 109
 
5.4%
Latin 106
 
5.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 339
18.9%
당 329
18.3%
장 293
16.3%
스 35
 
1.9%
럽 35
 
1.9%
클 34
 
1.9%
리 32
 
1.8%
성 27
 
1.5%
드 19
 
1.1%
아 18
 
1.0%
Other values (217) 634
35.3%
Latin
ValueCountFrequency (%)
S 18
17.0%
B 18
17.0%
C 6
 
5.7%
I 5
 
4.7%
E 5
 
4.7%
M 5
 
4.7%
K 5
 
4.7%
N 4
 
3.8%
L 3
 
2.8%
U 3
 
2.8%
Other values (21) 34
32.1%
Common
ValueCountFrequency (%)
74
67.9%
2 7
 
6.4%
1 6
 
5.5%
0 4
 
3.7%
8 3
 
2.8%
4 3
 
2.8%
. 3
 
2.8%
- 3
 
2.8%
( 2
 
1.8%
) 2
 
1.8%
Other values (2) 2
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1795
89.3%
ASCII 215
 
10.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 339
18.9%
당 329
18.3%
장 293
16.3%
스 35
 
1.9%
럽 35
 
1.9%
클 34
 
1.9%
리 32
 
1.8%
성 27
 
1.5%
드 19
 
1.1%
아 18
 
1.0%
Other values (217) 634
35.3%
ASCII
ValueCountFrequency (%)
74
34.4%
S 18
 
8.4%
B 18
 
8.4%
2 7
 
3.3%
C 6
 
2.8%
1 6
 
2.8%
I 5
 
2.3%
E 5
 
2.3%
M 5
 
2.3%
K 5
 
2.3%
Other values (33) 66
30.7%

최종수정일자
Date

Distinct237
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum2003-02-06 13:41:09
Maximum2024-02-23 14:12:13
2024-04-30T04:59:00.774740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:59:01.047860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
I
193 
U
166 

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 193
53.8%
U 166
46.2%

Length

2024-04-30T04:59:01.172344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:59:01.260810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 193
53.8%
u 166
46.2%

데이터갱신일자
Date

Distinct60
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-02 00:03:00
2024-04-30T04:59:01.360868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:59:01.480368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing359
Missing (%)100.0%
Memory size3.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct272
Distinct (%)79.8%
Missing18
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean203919.31
Minimum201020.75
Maximum206281.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-30T04:59:01.602777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201020.75
5-th percentile201720.67
Q1203057.92
median203965.32
Q3204824.57
95-th percentile205680.22
Maximum206281.08
Range5260.3242
Interquartile range (IQR)1766.6536

Descriptive statistics

Standard deviation1167.5815
Coefficient of variation (CV)0.0057257038
Kurtosis-0.66410512
Mean203919.31
Median Absolute Deviation (MAD)865.65943
Skewness-0.32616752
Sum69536483
Variance1363246.7
MonotonicityNot monotonic
2024-04-30T04:59:01.729294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
203462.981640566 4
 
1.1%
204359.721317271 4
 
1.1%
202900.174381742 4
 
1.1%
205784.868811814 4
 
1.1%
204534.298208048 3
 
0.8%
204257.599081102 3
 
0.8%
202233.303208065 3
 
0.8%
204966.098616157 3
 
0.8%
203569.226229177 3
 
0.8%
204934.166661444 3
 
0.8%
Other values (262) 307
85.5%
(Missing) 18
 
5.0%
ValueCountFrequency (%)
201020.753979 1
0.3%
201040.203347749 1
0.3%
201165.950245642 1
0.3%
201391.874192891 1
0.3%
201568.121716436 2
0.6%
201632.950717916 1
0.3%
201645.114778455 1
0.3%
201654.04961098 1
0.3%
201660.781574598 2
0.6%
201662.343567847 1
0.3%
ValueCountFrequency (%)
206281.078197048 1
 
0.3%
206267.144320265 1
 
0.3%
206020.07784568 1
 
0.3%
206015.938356221 1
 
0.3%
205924.040131611 1
 
0.3%
205880.071497828 1
 
0.3%
205864.86478267 1
 
0.3%
205834.097987543 1
 
0.3%
205810.737642867 1
 
0.3%
205784.868811814 4
1.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct272
Distinct (%)79.8%
Missing18
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean450118.8
Minimum448175.69
Maximum452098.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-30T04:59:01.861912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448175.69
5-th percentile448399.95
Q1449254.85
median450222.28
Q3451089.42
95-th percentile451614.22
Maximum452098.62
Range3922.9284
Interquartile range (IQR)1834.5719

Descriptive statistics

Standard deviation1091.1369
Coefficient of variation (CV)0.0024241086
Kurtosis-1.2347225
Mean450118.8
Median Absolute Deviation (MAD)912.57707
Skewness-0.069276786
Sum1.5349051 × 108
Variance1190579.7
MonotonicityNot monotonic
2024-04-30T04:59:02.012892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450714.303369416 4
 
1.1%
448413.578023389 4
 
1.1%
451184.194186821 4
 
1.1%
450883.524006222 4
 
1.1%
451321.879727008 3
 
0.8%
449613.818868654 3
 
0.8%
449584.037574482 3
 
0.8%
449159.452779834 3
 
0.8%
450750.899258113 3
 
0.8%
449083.056771443 3
 
0.8%
Other values (262) 307
85.5%
(Missing) 18
 
5.0%
ValueCountFrequency (%)
448175.694252303 2
0.6%
448237.854684543 1
0.3%
448244.883976338 2
0.6%
448257.988722667 1
0.3%
448279.040422642 1
0.3%
448281.204367511 1
0.3%
448289.619828585 1
0.3%
448310.561851329 1
0.3%
448317.872400495 1
0.3%
448351.173333696 1
0.3%
ValueCountFrequency (%)
452098.622697627 1
0.3%
452078.645601446 1
0.3%
452062.922419938 1
0.3%
452060.514542 1
0.3%
452041.559037331 1
0.3%
452035.065988965 1
0.3%
452019.558572479 1
0.3%
451990.784198029 1
0.3%
451977.686207707 1
0.3%
451965.03442982 1
0.3%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
당구장업
335 
<NA>
 
24

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
당구장업 335
93.3%
<NA> 24
 
6.7%

Length

2024-04-30T04:59:02.148344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:59:02.242283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 335
93.3%
na 24
 
6.7%

공사립구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
사립
335 
<NA>
 
24

Length

Max length4
Median length2
Mean length2.1337047
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 335
93.3%
<NA> 24
 
6.7%

Length

2024-04-30T04:59:02.336631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:59:02.428931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 335
93.3%
na 24
 
6.7%

보험가입여부코드
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
265 
0
93 
Y
 
1

Length

Max length4
Median length4
Mean length3.2144847
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 265
73.8%
0 93
 
25.9%
Y 1
 
0.3%

Length

2024-04-30T04:59:02.515304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:59:02.609472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 265
73.8%
0 93
 
25.9%
y 1
 
0.3%

지도자수
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
215 
0
144 

Length

Max length4
Median length4
Mean length2.7966574
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 215
59.9%
0 144
40.1%

Length

2024-04-30T04:59:02.698888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:59:02.796206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 215
59.9%
0 144
40.1%

건축물동수
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
165 
0
150 
1
44 

Length

Max length4
Median length1
Mean length2.3788301
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 165
46.0%
0 150
41.8%
1 44
 
12.3%

Length

2024-04-30T04:59:02.891938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:59:02.983985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 165
46.0%
0 150
41.8%
1 44
 
12.3%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct46
Distinct (%)24.2%
Missing169
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean301.94868
Minimum0
Maximum7327.97
Zeros143
Zeros (%)39.8%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-30T04:59:03.071630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1360.0455
Maximum7327.97
Range7327.97
Interquartile range (IQR)0

Descriptive statistics

Standard deviation890.49943
Coefficient of variation (CV)2.9491747
Kurtosis36.273942
Mean301.94868
Median Absolute Deviation (MAD)0
Skewness5.4517254
Sum57370.25
Variance792989.24
MonotonicityNot monotonic
2024-04-30T04:59:03.199224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0.0 143
39.8%
1207.58 2
 
0.6%
1123.25 2
 
0.6%
999.9 1
 
0.3%
576.42 1
 
0.3%
2111.35 1
 
0.3%
2643.62 1
 
0.3%
793.86 1
 
0.3%
639.36 1
 
0.3%
685.72 1
 
0.3%
Other values (36) 36
 
10.0%
(Missing) 169
47.1%
ValueCountFrequency (%)
0.0 143
39.8%
33.07 1
 
0.3%
95.75 1
 
0.3%
167.0 1
 
0.3%
182.47 1
 
0.3%
185.12 1
 
0.3%
206.0 1
 
0.3%
231.0 1
 
0.3%
417.47 1
 
0.3%
449.96 1
 
0.3%
ValueCountFrequency (%)
7327.97 1
0.3%
6822.77 1
0.3%
4013.78 1
0.3%
2688.0 1
0.3%
2643.62 1
0.3%
2111.35 1
0.3%
1763.18 1
0.3%
1666.23 1
0.3%
1641.73 1
0.3%
1484.79 1
0.3%

회원모집총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
355 
0
 
4

Length

Max length4
Median length4
Mean length3.9665738
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 355
98.9%
0 4
 
1.1%

Length

2024-04-30T04:59:03.325867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:59:03.414265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 355
98.9%
0 4
 
1.1%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing359
Missing (%)100.0%
Memory size3.3 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing359
Missing (%)100.0%
Memory size3.3 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03030000CDFH330108198100000119810416<NA>3폐업3폐업20001106<NA><NA><NA><NA><NA>133871서울특별시 성동구 행당동 19-54번지서울특별시 성동구 마조로 17 (행당동)<NA>영당구장2003-02-06 13:41:09I2018-08-31 23:59:59.0<NA>203512.949927450799.537553당구장업사립<NA>000.0<NA><NA><NA>
13030000CDFH330108198100000219811118<NA>3폐업3폐업20020131<NA><NA><NA><NA><NA>133871서울특별시 성동구 행당동 19-101번지서울특별시 성동구 마조로 7 (행당동)<NA>맘모스당구장2003-02-06 13:41:09I2018-08-31 23:59:59.0<NA>203503.571031450702.715454당구장업사립<NA>000.0<NA><NA><NA>
23030000CDFH330108199000000119900907<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA><NA><NA>133848서울특별시 성동구 용답동 69-3번지<NA><NA>지하철당구장2006-08-29 13:50:31I2018-08-31 23:59:59.0<NA><NA><NA>당구장업사립0<NA><NA><NA><NA><NA><NA>
33030000CDFH330108199000000219901116<NA>3폐업3폐업20031007<NA><NA><NA><NA><NA>133845서울특별시 성동구 옥수동 495-12번지<NA><NA>명성당구장2004-11-24 13:33:49I2018-08-31 23:59:59.0<NA><NA><NA>당구장업사립0<NA><NA><NA><NA><NA><NA>
43030000CDFH330108199000000419901229<NA>3폐업3폐업20111212<NA><NA><NA><NA><NA>133835서울특별시 성동구 성수동2가 315-97번지서울특별시 성동구 아차산로 110 (성수동2가)<NA>한성당구장2011-12-12 15:01:31I2018-08-31 23:59:59.0<NA>204878.106745449093.326406당구장업사립<NA>000.0<NA><NA><NA>
53030000CDFH330108199100000119910629<NA>4취소/말소/만료/정지/중지35직권말소20200722<NA><NA><NA><NA><NA>133830서울특별시 성동구 성수동2가 662-2서울특별시 성동구 둘레15길 17 (성수동2가)<NA>쉼터당구장2020-07-22 17:03:39U2020-07-24 02:40:00.0<NA>204828.345462448237.854685당구장업사립<NA>000.0<NA><NA><NA>
63030000CDFH330108199300000119930215<NA>4취소/말소/만료/정지/중지35직권말소20200722<NA><NA><NA><NA><NA>133803서울특별시 성동구 금호동2가 449-1서울특별시 성동구 금호로 151 (금호동2가)<NA>로타리당구장2020-07-22 16:04:28U2020-07-24 02:40:00.0<NA>201708.144077450225.624412당구장업사립<NA>000.0<NA><NA><NA>
73030000CDFH330108199300000319930531<NA>3폐업3폐업20060620<NA><NA><NA><NA><NA>133836서울특별시 성동구 송정동 68-10번지<NA><NA>스타당구장2006-06-20 10:05:40I2018-08-31 23:59:59.0<NA><NA><NA>당구장업사립0<NA><NA><NA><NA><NA><NA>
83030000CDFH330108199400000119940418<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 행당동 286-30서울특별시 성동구 왕십리로21길 7 (행당동)4715프로당구장2021-11-04 11:02:12U2021-11-06 02:40:00.0<NA>202890.719473451032.813701당구장업사립<NA>000.0<NA><NA><NA>
93030000CDFH330108199400000319940708<NA>4취소/말소/만료/정지/중지35직권말소20200722<NA><NA><NA><NA><NA>133845서울특별시 성동구 옥수동 523-1<NA><NA>신우당구장2020-07-22 17:04:35U2020-07-24 02:40:00.0<NA><NA><NA>당구장업사립<NA>000.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
3493030000CDFH330108201700000420171027<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 용답동 61-4서울특별시 성동구 용답중앙15길 15-6, 2층 (용답동)4804크라운 당구 클럽2020-09-09 14:51:46U2020-09-11 02:40:00.0<NA>204698.142503451409.649323당구장업사립<NA><NA><NA><NA><NA><NA><NA>
3503030000CDFH330108201800000120180125<NA>3폐업3폐업20191120<NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동2가 331-243번지서울특별시 성동구 성덕정17길 12, 1층 (성수동2가)4776도깨비 당구장2019-11-20 15:35:10U2019-11-22 02:40:00.0<NA>204824.574211448450.766192당구장업사립<NA><NA><NA>1040.65<NA><NA><NA>
3513030000CDFH330108201800000220180413<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 행당동 286-12 경남빌딩 지하층서울특별시 성동구 무학봉28길 21, 경남빌딩 지하층 (행당동)4715큐 당구장2020-07-28 20:01:59U2020-07-30 02:40:00.0<NA>202945.935013451035.306122당구장업사립<NA><NA><NA><NA><NA><NA><NA>
3523030000CDFH330108201800000320180529<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 행당동 19-89 지하1층서울특별시 성동구 마조로3가길 11, 지하1층 (행당동)4760블랙존2020-07-28 20:22:36U2020-07-30 02:40:00.0<NA>203450.061781450754.017347당구장업사립<NA><NA><NA><NA><NA><NA><NA>
3533030000CDFH330108202000000120201029<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 응봉동 98 현대종합상가서울특별시 성동구 독서당로 381, 현대종합상가 지하층 15~17호 (응봉동)4720현대 당구장2020-10-29 09:02:19I2020-10-31 00:23:09.0<NA>202665.642324449864.878503당구장업사립<NA><NA><NA><NA><NA><NA><NA>
3543030000CDFH330108202100000120210420<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동2가 561-1 국민은행서울특별시 성동구 성덕정길 106, 국민은행 지하1층 (성수동2가)4776스타 당구클럽2021-04-20 11:35:05I2021-04-22 00:23:10.0<NA>204799.750079448317.8724당구장업사립<NA><NA><NA><NA><NA><NA><NA>
3553030000CDFH330108202200000120220128<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 금호동2가 455 주정형외과서울특별시 성동구 금호로 147, 주정형외과 지하1층 (금호동2가)4728신금호 당구장2022-01-28 14:41:20I2022-01-30 00:22:49.0<NA>201729.474463450201.958233당구장업사립<NA>001641.730<NA><NA>
3563030000CDFH330108202200000220221219<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 금호동1가 1803서울특별시 성동구 금호로 58, 3층 (금호동1가)4718코끼리 당구장2022-12-19 10:41:29I2021-11-01 22:01:00.0<NA>202233.303208449584.037574<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3573030000CDFH33010820230000012023-03-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동1가 612서울특별시 성동구 성덕정길 17, 지1층 (성수동1가)4773CS 당구장2023-03-03 11:05:22I2022-12-03 00:05:00.0<NA>203965.317897448600.508782<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3583030000CDFH33010820230000022023-04-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 도선동 253-5서울특별시 성동구 왕십리로24길 3, 3층 (도선동)4709킹 당구장2023-04-12 15:54:03I2022-12-03 23:04:00.0<NA>202900.174382451184.194187<NA><NA><NA><NA><NA><NA><NA><NA><NA>