Overview

Dataset statistics

Number of variables34
Number of observations168
Missing cells1833
Missing cells (%)32.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory47.9 KiB
Average record size in memory291.8 B

Variable types

Categorical12
Text5
DateTime4
Unsupported8
Numeric5

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,공사립구분명,보험가입여부코드,지도자수,건축물동수,건축물연면적,회원모집총인원,세부업종명,법인명
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-19855/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
보험가입여부코드 is highly imbalanced (50.0%)Imbalance
건축물동수 is highly imbalanced (60.9%)Imbalance
회원모집총인원 is highly imbalanced (83.7%)Imbalance
인허가취소일자 has 168 (100.0%) missing valuesMissing
폐업일자 has 103 (61.3%) missing valuesMissing
휴업시작일자 has 168 (100.0%) missing valuesMissing
휴업종료일자 has 168 (100.0%) missing valuesMissing
재개업일자 has 168 (100.0%) missing valuesMissing
전화번호 has 67 (39.9%) missing valuesMissing
소재지면적 has 168 (100.0%) missing valuesMissing
소재지우편번호 has 108 (64.3%) missing valuesMissing
도로명주소 has 12 (7.1%) missing valuesMissing
도로명우편번호 has 52 (31.0%) missing valuesMissing
업태구분명 has 168 (100.0%) missing valuesMissing
좌표정보(X) has 4 (2.4%) missing valuesMissing
좌표정보(Y) has 4 (2.4%) missing valuesMissing
건축물연면적 has 139 (82.7%) missing valuesMissing
세부업종명 has 168 (100.0%) missing valuesMissing
법인명 has 168 (100.0%) missing valuesMissing
관리번호 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
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 6 (3.6%) zerosZeros

Reproduction

Analysis started2024-05-11 06:31:27.617670
Analysis finished2024-05-11 06:31:28.908906
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3030000
168 

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 168
100.0%

Length

2024-05-11T06:31:29.116412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:31:29.436297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 168
100.0%

관리번호
Text

UNIQUE 

Distinct168
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T06:31:29.906017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3360
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

Unique168 ?
Unique (%)100.0%

Sample

1st rowCDFH3301061989000001
2nd rowCDFH3301061989000002
3rd rowCDFH3301061989000003
4th rowCDFH3301061990000001
5th rowCDFH3301061992000001
ValueCountFrequency (%)
cdfh3301061989000001 1
 
0.6%
cdfh3301062020000002 1
 
0.6%
cdfh3301062020000012 1
 
0.6%
cdfh3301062019000005 1
 
0.6%
cdfh3301062019000006 1
 
0.6%
cdfh3301062019000007 1
 
0.6%
cdfh3301062019000008 1
 
0.6%
cdfh3301062019000009 1
 
0.6%
cdfh3301062019000010 1
 
0.6%
cdfh3301062020000001 1
 
0.6%
Other values (158) 158
94.0%
2024-05-11T06:31:31.014020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1361
40.5%
3 387
 
11.5%
1 312
 
9.3%
2 251
 
7.5%
6 190
 
5.7%
C 168
 
5.0%
D 168
 
5.0%
F 168
 
5.0%
H 168
 
5.0%
9 76
 
2.3%
Other values (4) 111
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2688
80.0%
Uppercase Letter 672
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1361
50.6%
3 387
 
14.4%
1 312
 
11.6%
2 251
 
9.3%
6 190
 
7.1%
9 76
 
2.8%
4 41
 
1.5%
5 25
 
0.9%
7 24
 
0.9%
8 21
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 168
25.0%
D 168
25.0%
F 168
25.0%
H 168
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2688
80.0%
Latin 672
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1361
50.6%
3 387
 
14.4%
1 312
 
11.6%
2 251
 
9.3%
6 190
 
7.1%
9 76
 
2.8%
4 41
 
1.5%
5 25
 
0.9%
7 24
 
0.9%
8 21
 
0.8%
Latin
ValueCountFrequency (%)
C 168
25.0%
D 168
25.0%
F 168
25.0%
H 168
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1361
40.5%
3 387
 
11.5%
1 312
 
9.3%
2 251
 
7.5%
6 190
 
5.7%
C 168
 
5.0%
D 168
 
5.0%
F 168
 
5.0%
H 168
 
5.0%
9 76
 
2.3%
Other values (4) 111
 
3.3%

인허가일자
Date

Distinct164
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum1989-10-24 00:00:00
Maximum2024-04-23 00:00:00
2024-05-11T06:31:31.424436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:31:31.902672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
1
103 
3
47 
4
18 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 103
61.3%
3 47
28.0%
4 18
 
10.7%

Length

2024-05-11T06:31:32.342041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:31:32.686481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 103
61.3%
3 47
28.0%
4 18
 
10.7%

영업상태명
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
영업/정상
103 
폐업
47 
취소/말소/만료/정지/중지
18 

Length

Max length14
Median length5
Mean length5.125
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 103
61.3%
폐업 47
28.0%
취소/말소/만료/정지/중지 18
 
10.7%

Length

2024-05-11T06:31:33.104705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:31:33.467860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 103
61.3%
폐업 47
28.0%
취소/말소/만료/정지/중지 18
 
10.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
13
103 
3
47 
35
18 

Length

Max length2
Median length2
Mean length1.7202381
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row35
4th row3
5th row35

Common Values

ValueCountFrequency (%)
13 103
61.3%
3 47
28.0%
35 18
 
10.7%

Length

2024-05-11T06:31:33.851757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:31:34.158010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 103
61.3%
3 47
28.0%
35 18
 
10.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
영업중
103 
폐업
47 
직권말소
18 

Length

Max length4
Median length3
Mean length2.827381
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 103
61.3%
폐업 47
28.0%
직권말소 18
 
10.7%

Length

2024-05-11T06:31:34.610291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:31:34.978497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 103
61.3%
폐업 47
28.0%
직권말소 18
 
10.7%

폐업일자
Date

MISSING 

Distinct50
Distinct (%)76.9%
Missing103
Missing (%)61.3%
Memory size1.4 KiB
Minimum2000-11-30 00:00:00
Maximum2024-03-27 00:00:00
2024-05-11T06:31:35.389951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:31:35.875124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

전화번호
Text

MISSING 

Distinct101
Distinct (%)100.0%
Missing67
Missing (%)39.9%
Memory size1.4 KiB
2024-05-11T06:31:36.755733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.287129
Min length8

Characters and Unicode

Total characters1039
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)100.0%

Sample

1st row466-9845
2nd row248-5493
3rd row292-7826
4th row235-5053
5th row293-5153
ValueCountFrequency (%)
215-4928 1
 
1.0%
02-567-8857 1
 
1.0%
02-461-4406 1
 
1.0%
499-3426 1
 
1.0%
2297-3579 1
 
1.0%
02-499-1379 1
 
1.0%
446-0810 1
 
1.0%
0234091112 1
 
1.0%
0222824123 1
 
1.0%
0222969690 1
 
1.0%
Other values (91) 91
90.1%
2024-05-11T06:31:38.375520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 234
22.5%
- 129
12.4%
0 122
11.7%
9 117
11.3%
4 83
 
8.0%
6 68
 
6.5%
8 62
 
6.0%
1 59
 
5.7%
5 57
 
5.5%
7 56
 
5.4%
Other values (4) 52
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 907
87.3%
Dash Punctuation 129
 
12.4%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 234
25.8%
0 122
13.5%
9 117
12.9%
4 83
 
9.2%
6 68
 
7.5%
8 62
 
6.8%
1 59
 
6.5%
5 57
 
6.3%
7 56
 
6.2%
3 49
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 129
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1039
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 234
22.5%
- 129
12.4%
0 122
11.7%
9 117
11.3%
4 83
 
8.0%
6 68
 
6.5%
8 62
 
6.0%
1 59
 
5.7%
5 57
 
5.5%
7 56
 
5.4%
Other values (4) 52
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1039
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 234
22.5%
- 129
12.4%
0 122
11.7%
9 117
11.3%
4 83
 
8.0%
6 68
 
6.5%
8 62
 
6.0%
1 59
 
5.7%
5 57
 
5.5%
7 56
 
5.4%
Other values (4) 52
 
5.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)63.3%
Missing108
Missing (%)64.3%
Infinite0
Infinite (%)0.0%
Mean133772.2
Minimum133070
Maximum133882
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T06:31:39.238409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum133070
5-th percentile133091
Q1133811.25
median133834
Q3133848.5
95-th percentile133880
Maximum133882
Range812
Interquartile range (IQR)37.25

Descriptive statistics

Standard deviation209.44331
Coefficient of variation (CV)0.0015656714
Kurtosis7.5631537
Mean133772.2
Median Absolute Deviation (MAD)20.5
Skewness-3.0196608
Sum8026332
Variance43866.502
MonotonicityNot monotonic
2024-05-11T06:31:40.338017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
133834 5
 
3.0%
133835 3
 
1.8%
133829 2
 
1.2%
133091 2
 
1.2%
133867 2
 
1.2%
133070 2
 
1.2%
133882 2
 
1.2%
133819 2
 
1.2%
133832 2
 
1.2%
133837 2
 
1.2%
Other values (28) 36
 
21.4%
(Missing) 108
64.3%
ValueCountFrequency (%)
133070 2
1.2%
133091 2
1.2%
133120 1
0.6%
133775 1
0.6%
133778 1
0.6%
133784 1
0.6%
133800 2
1.2%
133803 2
1.2%
133806 1
0.6%
133809 2
1.2%
ValueCountFrequency (%)
133882 2
1.2%
133880 2
1.2%
133867 2
1.2%
133866 2
1.2%
133865 1
0.6%
133864 1
0.6%
133862 1
0.6%
133859 1
0.6%
133858 1
0.6%
133852 1
0.6%

지번주소
Text

Distinct167
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T06:31:41.510376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length38.5
Mean length25.297619
Min length17

Characters and Unicode

Total characters4250
Distinct characters168
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

Unique166 ?
Unique (%)98.8%

Sample

1st row서울특별시 성동구 송정동 87-17번지
2nd row서울특별시 성동구 도선동 289번지 4층
3rd row서울특별시 성동구 용답동 74-2번지
4th row서울특별시 성동구 행당동 158-44번지
5th row서울특별시 성동구 금호동2가 434-1번지
ValueCountFrequency (%)
서울특별시 168
21.0%
성동구 168
21.0%
성수동2가 37
 
4.6%
행당동 23
 
2.9%
성수동1가 20
 
2.5%
옥수동 16
 
2.0%
하왕십리동 14
 
1.8%
도선동 12
 
1.5%
금호동1가 10
 
1.2%
마장동 7
 
0.9%
Other values (263) 325
40.6%
2024-05-11T06:31:43.088390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
737
17.3%
동 350
 
8.2%
성 233
 
5.5%
울 171
 
4.0%
서 170
 
4.0%
특 168
 
4.0%
별 168
 
4.0%
시 168
 
4.0%
구 168
 
4.0%
1 164
 
3.9%
Other values (158) 1753
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2496
58.7%
Decimal Number 863
 
20.3%
Space Separator 737
 
17.3%
Dash Punctuation 130
 
3.1%
Uppercase Letter 14
 
0.3%
Other Punctuation 7
 
0.2%
Math Symbol 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 350
14.0%
성 233
 
9.3%
울 171
 
6.9%
서 170
 
6.8%
특 168
 
6.7%
별 168
 
6.7%
시 168
 
6.7%
구 168
 
6.7%
가 88
 
3.5%
수 75
 
3.0%
Other values (132) 737
29.5%
Decimal Number
ValueCountFrequency (%)
1 164
19.0%
2 153
17.7%
4 84
9.7%
3 83
9.6%
6 77
8.9%
5 77
8.9%
8 60
 
7.0%
7 59
 
6.8%
0 55
 
6.4%
9 51
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
B 4
28.6%
W 2
14.3%
S 1
 
7.1%
T 1
 
7.1%
O 1
 
7.1%
E 1
 
7.1%
R 1
 
7.1%
M 1
 
7.1%
G 1
 
7.1%
H 1
 
7.1%
Space Separator
ValueCountFrequency (%)
737
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 130
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2496
58.7%
Common 1740
40.9%
Latin 14
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 350
14.0%
성 233
 
9.3%
울 171
 
6.9%
서 170
 
6.8%
특 168
 
6.7%
별 168
 
6.7%
시 168
 
6.7%
구 168
 
6.7%
가 88
 
3.5%
수 75
 
3.0%
Other values (132) 737
29.5%
Common
ValueCountFrequency (%)
737
42.4%
1 164
 
9.4%
2 153
 
8.8%
- 130
 
7.5%
4 84
 
4.8%
3 83
 
4.8%
6 77
 
4.4%
5 77
 
4.4%
8 60
 
3.4%
7 59
 
3.4%
Other values (6) 116
 
6.7%
Latin
ValueCountFrequency (%)
B 4
28.6%
W 2
14.3%
S 1
 
7.1%
T 1
 
7.1%
O 1
 
7.1%
E 1
 
7.1%
R 1
 
7.1%
M 1
 
7.1%
G 1
 
7.1%
H 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2496
58.7%
ASCII 1754
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
737
42.0%
1 164
 
9.4%
2 153
 
8.7%
- 130
 
7.4%
4 84
 
4.8%
3 83
 
4.7%
6 77
 
4.4%
5 77
 
4.4%
8 60
 
3.4%
7 59
 
3.4%
Other values (16) 130
 
7.4%
Hangul
ValueCountFrequency (%)
동 350
14.0%
성 233
 
9.3%
울 171
 
6.9%
서 170
 
6.8%
특 168
 
6.7%
별 168
 
6.7%
시 168
 
6.7%
구 168
 
6.7%
가 88
 
3.5%
수 75
 
3.0%
Other values (132) 737
29.5%

도로명주소
Text

MISSING 

Distinct154
Distinct (%)98.7%
Missing12
Missing (%)7.1%
Memory size1.4 KiB
2024-05-11T06:31:43.839880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length43
Mean length33.551282
Min length22

Characters and Unicode

Total characters5234
Distinct characters191
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

Unique152 ?
Unique (%)97.4%

Sample

1st row서울특별시 성동구 동일로 259 (송정동)
2nd row서울특별시 성동구 왕십리로 348 (도선동,4층)
3rd row서울특별시 성동구 천호대로 288 (용답동)
4th row서울특별시 성동구 마조로1길 2 (행당동)
5th row서울특별시 성동구 금호산길 63 (금호동2가)
ValueCountFrequency (%)
서울특별시 156
 
15.6%
성동구 156
 
15.6%
성수동2가 30
 
3.0%
왕십리로 27
 
2.7%
성수동1가 19
 
1.9%
행당동 17
 
1.7%
2층 16
 
1.6%
옥수동 15
 
1.5%
하왕십리동 13
 
1.3%
지하1층 12
 
1.2%
Other values (328) 541
54.0%
2024-05-11T06:31:45.078773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
880
 
16.8%
동 341
 
6.5%
성 244
 
4.7%
1 186
 
3.6%
2 180
 
3.4%
서 173
 
3.3%
울 162
 
3.1%
, 161
 
3.1%
시 158
 
3.0%
구 156
 
3.0%
Other values (181) 2593
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3036
58.0%
Space Separator 880
 
16.8%
Decimal Number 789
 
15.1%
Other Punctuation 161
 
3.1%
Close Punctuation 156
 
3.0%
Open Punctuation 156
 
3.0%
Uppercase Letter 37
 
0.7%
Dash Punctuation 15
 
0.3%
Math Symbol 3
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 341
 
11.2%
성 244
 
8.0%
서 173
 
5.7%
울 162
 
5.3%
시 158
 
5.2%
구 156
 
5.1%
별 156
 
5.1%
특 156
 
5.1%
로 121
 
4.0%
수 94
 
3.1%
Other values (151) 1275
42.0%
Uppercase Letter
ValueCountFrequency (%)
B 24
64.9%
W 2
 
5.4%
S 1
 
2.7%
I 1
 
2.7%
T 1
 
2.7%
O 1
 
2.7%
R 1
 
2.7%
E 1
 
2.7%
H 1
 
2.7%
A 1
 
2.7%
Other values (3) 3
 
8.1%
Decimal Number
ValueCountFrequency (%)
1 186
23.6%
2 180
22.8%
0 88
11.2%
3 84
10.6%
4 69
 
8.7%
5 43
 
5.4%
6 40
 
5.1%
7 38
 
4.8%
8 34
 
4.3%
9 27
 
3.4%
Space Separator
ValueCountFrequency (%)
880
100.0%
Other Punctuation
ValueCountFrequency (%)
, 161
100.0%
Close Punctuation
ValueCountFrequency (%)
) 156
100.0%
Open Punctuation
ValueCountFrequency (%)
( 156
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3036
58.0%
Common 2160
41.3%
Latin 38
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 341
 
11.2%
성 244
 
8.0%
서 173
 
5.7%
울 162
 
5.3%
시 158
 
5.2%
구 156
 
5.1%
별 156
 
5.1%
특 156
 
5.1%
로 121
 
4.0%
수 94
 
3.1%
Other values (151) 1275
42.0%
Common
ValueCountFrequency (%)
880
40.7%
1 186
 
8.6%
2 180
 
8.3%
, 161
 
7.5%
) 156
 
7.2%
( 156
 
7.2%
0 88
 
4.1%
3 84
 
3.9%
4 69
 
3.2%
5 43
 
2.0%
Other values (6) 157
 
7.3%
Latin
ValueCountFrequency (%)
B 24
63.2%
W 2
 
5.3%
S 1
 
2.6%
I 1
 
2.6%
b 1
 
2.6%
T 1
 
2.6%
O 1
 
2.6%
R 1
 
2.6%
E 1
 
2.6%
H 1
 
2.6%
Other values (4) 4
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3036
58.0%
ASCII 2198
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
880
40.0%
1 186
 
8.5%
2 180
 
8.2%
, 161
 
7.3%
) 156
 
7.1%
( 156
 
7.1%
0 88
 
4.0%
3 84
 
3.8%
4 69
 
3.1%
5 43
 
2.0%
Other values (20) 195
 
8.9%
Hangul
ValueCountFrequency (%)
동 341
 
11.2%
성 244
 
8.0%
서 173
 
5.7%
울 162
 
5.3%
시 158
 
5.2%
구 156
 
5.1%
별 156
 
5.1%
특 156
 
5.1%
로 121
 
4.0%
수 94
 
3.1%
Other values (151) 1275
42.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)48.3%
Missing52
Missing (%)31.0%
Infinite0
Infinite (%)0.0%
Mean5854.8879
Minimum4700
Maximum133091
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T06:31:45.568223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4700
5-th percentile4701.75
Q14715
median4738.5
Q34782
95-th percentile4797
Maximum133091
Range128391
Interquartile range (IQR)67

Descriptive statistics

Standard deviation11916.352
Coefficient of variation (CV)2.0352827
Kurtosis115.99803
Mean5854.8879
Median Absolute Deviation (MAD)29.5
Skewness10.770194
Sum679167
Variance1.4199945 × 108
MonotonicityNot monotonic
2024-05-11T06:31:46.102671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4782 7
 
4.2%
4794 7
 
4.2%
4709 6
 
3.6%
4790 5
 
3.0%
4707 5
 
3.0%
4779 4
 
2.4%
4736 4
 
2.4%
4701 4
 
2.4%
4735 3
 
1.8%
4768 3
 
1.8%
Other values (46) 68
40.5%
(Missing) 52
31.0%
ValueCountFrequency (%)
4700 2
 
1.2%
4701 4
2.4%
4702 2
 
1.2%
4706 1
 
0.6%
4707 5
3.0%
4709 6
3.6%
4710 3
1.8%
4712 1
 
0.6%
4713 1
 
0.6%
4714 3
1.8%
ValueCountFrequency (%)
133091 1
 
0.6%
4808 2
 
1.2%
4804 2
 
1.2%
4800 1
 
0.6%
4796 1
 
0.6%
4794 7
4.2%
4793 2
 
1.2%
4791 1
 
0.6%
4790 5
3.0%
4789 2
 
1.2%

사업장명
Text

Distinct163
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T06:31:46.887943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length17
Mean length7.5595238
Min length2

Characters and Unicode

Total characters1270
Distinct characters259
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

Unique158 ?
Unique (%)94.0%

Sample

1st row스타육체미
2nd row광우휄스
3rd row문화헬스
4th row썬버드헬스
5th row참피온헬스클럽
ValueCountFrequency (%)
휘트니스 11
 
4.0%
pt 11
 
4.0%
짐 5
 
1.8%
피트니스 4
 
1.5%
studio 3
 
1.1%
트레이닝 3
 
1.1%
퍼스널 3
 
1.1%
성수역점 3
 
1.1%
시티짐 3
 
1.1%
성수점 3
 
1.1%
Other values (207) 224
82.1%
2024-05-11T06:31:48.084436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 105
 
8.3%
105
 
8.3%
트 43
 
3.4%
니 36
 
2.8%
짐 34
 
2.7%
헬 34
 
2.7%
T 25
 
2.0%
휘 23
 
1.8%
이 23
 
1.8%
럽 19
 
1.5%
Other values (249) 823
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 935
73.6%
Uppercase Letter 120
 
9.4%
Space Separator 105
 
8.3%
Lowercase Letter 54
 
4.3%
Close Punctuation 17
 
1.3%
Open Punctuation 17
 
1.3%
Other Punctuation 12
 
0.9%
Decimal Number 8
 
0.6%
Dash Punctuation 1
 
0.1%
Connector Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 105
 
11.2%
트 43
 
4.6%
니 36
 
3.9%
짐 34
 
3.6%
헬 34
 
3.6%
휘 23
 
2.5%
이 23
 
2.5%
럽 19
 
2.0%
클 19
 
2.0%
점 17
 
1.8%
Other values (198) 582
62.2%
Uppercase Letter
ValueCountFrequency (%)
T 25
20.8%
P 19
15.8%
Y 8
 
6.7%
G 8
 
6.7%
F 7
 
5.8%
M 7
 
5.8%
H 6
 
5.0%
I 6
 
5.0%
U 5
 
4.2%
D 4
 
3.3%
Other values (11) 25
20.8%
Lowercase Letter
ValueCountFrequency (%)
s 10
18.5%
t 7
13.0%
i 6
11.1%
n 5
9.3%
e 5
9.3%
u 4
 
7.4%
o 3
 
5.6%
a 3
 
5.6%
h 2
 
3.7%
d 2
 
3.7%
Other values (7) 7
13.0%
Other Punctuation
ValueCountFrequency (%)
& 7
58.3%
' 2
 
16.7%
. 2
 
16.7%
, 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
4 3
37.5%
5 2
25.0%
3 2
25.0%
2 1
 
12.5%
Space Separator
ValueCountFrequency (%)
105
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 935
73.6%
Latin 174
 
13.7%
Common 161
 
12.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 105
 
11.2%
트 43
 
4.6%
니 36
 
3.9%
짐 34
 
3.6%
헬 34
 
3.6%
휘 23
 
2.5%
이 23
 
2.5%
럽 19
 
2.0%
클 19
 
2.0%
점 17
 
1.8%
Other values (198) 582
62.2%
Latin
ValueCountFrequency (%)
T 25
 
14.4%
P 19
 
10.9%
s 10
 
5.7%
Y 8
 
4.6%
G 8
 
4.6%
t 7
 
4.0%
F 7
 
4.0%
M 7
 
4.0%
H 6
 
3.4%
I 6
 
3.4%
Other values (28) 71
40.8%
Common
ValueCountFrequency (%)
105
65.2%
) 17
 
10.6%
( 17
 
10.6%
& 7
 
4.3%
4 3
 
1.9%
' 2
 
1.2%
. 2
 
1.2%
5 2
 
1.2%
3 2
 
1.2%
- 1
 
0.6%
Other values (3) 3
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 935
73.6%
ASCII 335
 
26.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 105
 
11.2%
트 43
 
4.6%
니 36
 
3.9%
짐 34
 
3.6%
헬 34
 
3.6%
휘 23
 
2.5%
이 23
 
2.5%
럽 19
 
2.0%
클 19
 
2.0%
점 17
 
1.8%
Other values (198) 582
62.2%
ASCII
ValueCountFrequency (%)
105
31.3%
T 25
 
7.5%
P 19
 
5.7%
) 17
 
5.1%
( 17
 
5.1%
s 10
 
3.0%
Y 8
 
2.4%
G 8
 
2.4%
t 7
 
2.1%
F 7
 
2.1%
Other values (41) 112
33.4%

최종수정일자
Date

Distinct155
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2003-02-06 13:41:09
Maximum2024-04-23 16:45:23
2024-05-11T06:31:48.632605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:31:49.410289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
U
97 
I
71 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 97
57.7%
I 71
42.3%

Length

2024-05-11T06:31:49.839450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:31:50.176217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 97
57.7%
i 71
42.3%

데이터갱신일자
Date

Distinct89
Distinct (%)53.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:07:00
2024-05-11T06:31:50.949030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:31:51.639766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct135
Distinct (%)82.3%
Missing4
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean203382.94
Minimum200957.65
Maximum206281.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T06:31:52.293631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200957.65
5-th percentile201214.57
Q1202326.57
median203235.05
Q3204681.25
95-th percentile205514.82
Maximum206281.08
Range5323.4277
Interquartile range (IQR)2354.6734

Descriptive statistics

Standard deviation1355.4494
Coefficient of variation (CV)0.0066645187
Kurtosis-1.0282597
Mean203382.94
Median Absolute Deviation (MAD)1134.6285
Skewness0.038266202
Sum33354801
Variance1837243
MonotonicityNot monotonic
2024-05-11T06:31:52.934130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201084.709621627 3
 
1.8%
202326.470897024 3
 
1.8%
202511.142930696 3
 
1.8%
204764.658079784 3
 
1.8%
203835.001061826 2
 
1.2%
204110.871919281 2
 
1.2%
202372.912023599 2
 
1.2%
202727.017018553 2
 
1.2%
202004.452300224 2
 
1.2%
204862.557782118 2
 
1.2%
Other values (125) 140
83.3%
(Missing) 4
 
2.4%
ValueCountFrequency (%)
200957.650467351 1
 
0.6%
201059.703833592 1
 
0.6%
201084.709621627 3
1.8%
201110.397044663 1
 
0.6%
201157.877298502 1
 
0.6%
201174.525137191 1
 
0.6%
201202.208263001 1
 
0.6%
201284.611738509 1
 
0.6%
201326.843664417 2
1.2%
201351.262347 1
 
0.6%
ValueCountFrequency (%)
206281.078197048 1
0.6%
206243.875021499 1
0.6%
206188.003773446 1
0.6%
205810.019176623 1
0.6%
205789.104260792 1
0.6%
205760.845175165 1
0.6%
205587.873909407 1
0.6%
205527.887051222 1
0.6%
205522.444399958 1
0.6%
205471.610998205 1
0.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct135
Distinct (%)82.3%
Missing4
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean450075.16
Minimum448266.73
Maximum452095.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T06:31:53.481943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448266.73
5-th percentile448580.25
Q1449207.25
median449909.78
Q3451101.46
95-th percentile451574.32
Maximum452095.53
Range3828.8029
Interquartile range (IQR)1894.2037

Descriptive statistics

Standard deviation1044.7262
Coefficient of variation (CV)0.002321226
Kurtosis-1.2719239
Mean450075.16
Median Absolute Deviation (MAD)887.28645
Skewness0.1575536
Sum73812327
Variance1091452.8
MonotonicityNot monotonic
2024-05-11T06:31:53.952735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448714.038805333 3
 
1.8%
449954.683065141 3
 
1.8%
450401.303715561 3
 
1.8%
449437.628334972 3
 
1.8%
449508.116206891 2
 
1.2%
449569.58557396 2
 
1.2%
451536.680876573 2
 
1.2%
451267.516899022 2
 
1.2%
450411.463616996 2
 
1.2%
449111.37119576 2
 
1.2%
Other values (125) 140
83.3%
(Missing) 4
 
2.4%
ValueCountFrequency (%)
448266.731214858 1
0.6%
448272.53159281 1
0.6%
448317.872400495 1
0.6%
448366.505563017 1
0.6%
448399.948660115 1
0.6%
448435.212398595 1
0.6%
448470.237859432 1
0.6%
448499.56241538 1
0.6%
448559.531076617 1
0.6%
448697.66942877 1
0.6%
ValueCountFrequency (%)
452095.534145692 1
0.6%
452063.440192474 2
1.2%
451988.812476724 1
0.6%
451897.581865192 1
0.6%
451809.190992068 1
0.6%
451621.974133376 1
0.6%
451594.707188 1
0.6%
451575.01607132 1
0.6%
451570.344198532 1
0.6%
451536.680876573 2
1.2%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
체력단련장업
108 
<NA>
60 

Length

Max length6
Median length6
Mean length5.2857143
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체력단련장업 108
64.3%
<NA> 60
35.7%

Length

2024-05-11T06:31:54.478105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:31:54.891134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체력단련장업 108
64.3%
na 60
35.7%

공사립구분명
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
사립
108 
<NA>
60 

Length

Max length4
Median length2
Mean length2.7142857
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 108
64.3%
<NA> 60
35.7%

Length

2024-05-11T06:31:55.323735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:31:55.723130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 108
64.3%
na 60
35.7%

보험가입여부코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
134 
0
32 
Y
 
2

Length

Max length4
Median length4
Mean length3.3928571
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 134
79.8%
0 32
 
19.0%
Y 2
 
1.2%

Length

2024-05-11T06:31:56.176588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:31:56.529619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 134
79.8%
0 32
 
19.0%
y 2
 
1.2%

지도자수
Categorical

Distinct5
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
115 
1
29 
2
14 
0
 
9
6
 
1

Length

Max length4
Median length4
Mean length3.0535714
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 115
68.5%
1 29
 
17.3%
2 14
 
8.3%
0 9
 
5.4%
6 1
 
0.6%

Length

2024-05-11T06:31:56.909913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:31:57.302757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 115
68.5%
1 29
 
17.3%
2 14
 
8.3%
0 9
 
5.4%
6 1
 
0.6%

건축물동수
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
138 
1
18 
0
 
10
6
 
1
4
 
1

Length

Max length4
Median length4
Mean length3.4642857
Min length1

Unique

Unique2 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 138
82.1%
1 18
 
10.7%
0 10
 
6.0%
6 1
 
0.6%
4 1
 
0.6%

Length

2024-05-11T06:31:57.797307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:31:58.172527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 138
82.1%
1 18
 
10.7%
0 10
 
6.0%
6 1
 
0.6%
4 1
 
0.6%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)82.8%
Missing139
Missing (%)82.7%
Infinite0
Infinite (%)0.0%
Mean5796.2507
Minimum0
Maximum39778
Zeros6
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T06:31:58.529223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1492.48
median2905.01
Q36595.01
95-th percentile21378.186
Maximum39778
Range39778
Interquartile range (IQR)6102.53

Descriptive statistics

Standard deviation8701.662
Coefficient of variation (CV)1.501257
Kurtosis8.0005428
Mean5796.2507
Median Absolute Deviation (MAD)2905.01
Skewness2.6519738
Sum168091.27
Variance75718922
MonotonicityNot monotonic
2024-05-11T06:31:58.901238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.0 6
 
3.6%
9213.01 1
 
0.6%
6795.47 1
 
0.6%
2667.53 1
 
0.6%
1338.29 1
 
0.6%
7665.45 1
 
0.6%
6595.01 1
 
0.6%
1331.65 1
 
0.6%
2905.41 1
 
0.6%
2856.11 1
 
0.6%
Other values (14) 14
 
8.3%
(Missing) 139
82.7%
ValueCountFrequency (%)
0.0 6
3.6%
152.0 1
 
0.6%
492.48 1
 
0.6%
688.57 1
 
0.6%
1331.65 1
 
0.6%
1338.29 1
 
0.6%
2667.53 1
 
0.6%
2823.09 1
 
0.6%
2856.11 1
 
0.6%
2905.01 1
 
0.6%
ValueCountFrequency (%)
39778.0 1
0.6%
23038.31 1
0.6%
18888.0 1
0.6%
15369.0 1
0.6%
9213.01 1
0.6%
7665.45 1
0.6%
6795.47 1
0.6%
6595.01 1
0.6%
6106.58 1
0.6%
5598.36 1
0.6%

회원모집총인원
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
160 
0
 
6
1000
 
1
500
 
1

Length

Max length4
Median length4
Mean length3.8869048
Min length1

Unique

Unique2 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 160
95.2%
0 6
 
3.6%
1000 1
 
0.6%
500 1
 
0.6%

Length

2024-05-11T06:31:59.399833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:31:59.715113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 160
95.2%
0 6
 
3.6%
1000 1
 
0.6%
500 1
 
0.6%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03030000CDFH330106198900000119891024<NA>3폐업3폐업20060116<NA><NA><NA>466-9845<NA>133837서울특별시 성동구 송정동 87-17번지서울특별시 성동구 동일로 259 (송정동)<NA>스타육체미2007-05-18 10:32:10I2018-08-31 23:59:59.0<NA>206188.003773450279.646798체력단련장업사립0<NA><NA><NA><NA><NA><NA>
13030000CDFH330106198900000219891222<NA>3폐업3폐업20110530<NA><NA><NA><NA><NA>133882서울특별시 성동구 도선동 289번지 4층서울특별시 성동구 왕십리로 348 (도선동,4층)<NA>광우휄스2011-05-30 15:44:29I2018-08-31 23:59:59.0<NA>202727.017019451267.516899체력단련장업사립0<NA><NA><NA><NA><NA><NA>
23030000CDFH330106198900000319891229<NA>4취소/말소/만료/정지/중지35직권말소20190521<NA><NA><NA>248-5493<NA>133848서울특별시 성동구 용답동 74-2번지서울특별시 성동구 천호대로 288 (용답동)<NA>문화헬스2019-05-21 20:27:43U2019-05-23 02:40:00.0<NA>204590.476506451570.344199체력단련장업사립<NA><NA><NA><NA><NA><NA><NA>
33030000CDFH330106199000000119900105<NA>3폐업3폐업20071126<NA><NA><NA>292-7826<NA>133866서울특별시 성동구 행당동 158-44번지서울특별시 성동구 마조로1길 2 (행당동)<NA>썬버드헬스2007-11-26 15:58:28I2018-08-31 23:59:59.0<NA>203501.031887450680.518946체력단련장업사립0<NA><NA><NA><NA><NA><NA>
43030000CDFH330106199200000119921002<NA>4취소/말소/만료/정지/중지35직권말소20190521<NA><NA><NA>235-5053<NA>133803서울특별시 성동구 금호동2가 434-1번지서울특별시 성동구 금호산길 63 (금호동2가)<NA>참피온헬스클럽2019-05-23 14:41:15U2019-05-25 02:40:00.0<NA>201633.932589450177.049134체력단련장업사립<NA><NA><NA><NA><NA><NA><NA>
53030000CDFH330106199300000119930121<NA>4취소/말소/만료/정지/중지35직권말소20190521<NA><NA><NA>293-5153<NA>133882서울특별시 성동구 도선동 257번지서울특별시 성동구 왕십리로26길 4-12 (도선동)<NA>스타체육관2019-05-23 14:42:38U2019-05-25 02:40:00.0<NA>202831.010036451207.583776체력단련장업사립<NA><NA><NA><NA><NA><NA><NA>
63030000CDFH330106199300000219930701<NA>3폐업3폐업20040417<NA><NA><NA><NA><NA>133880서울특별시 성동구 홍익동 162-1번지<NA><NA>신화헬스클럽2006-01-26 17:56:47I2018-08-31 23:59:59.0<NA><NA><NA>체력단련장업사립0<NA><NA><NA><NA><NA><NA>
73030000CDFH330106199300000319930727<NA>4취소/말소/만료/정지/중지35직권말소20200722<NA><NA><NA>467-7350<NA>133835서울특별시 성동구 성수동2가 315-70서울특별시 성동구 연무장7길 12 (성수동2가)<NA>유니온헬스클럽2020-07-22 16:04:07U2020-07-24 02:40:00.0<NA>204780.982341449043.607254체력단련장업사립0<NA><NA><NA><NA><NA><NA>
83030000CDFH330106199400000119940127<NA>3폐업3폐업20011106<NA><NA><NA><NA><NA>133834서울특별시 성동구 성수동2가 289-243번지서울특별시 성동구 아차산로7길 14-1 (성수동2가)<NA>성수헬스2003-02-06 13:41:09I2018-08-31 23:59:59.0<NA>204771.22548449353.789642체력단련장업사립<NA>000.0<NA><NA><NA>
93030000CDFH330106199400000219940816<NA>3폐업3폐업20050618<NA><NA><NA><NA><NA>133812서울특별시 성동구 마장동 474-3번지<NA><NA>고려헬스2005-06-29 12:11:28I2018-08-31 23:59:59.0<NA>203235.051622452063.440192체력단련장업사립0<NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
1583030000CDFH33010620230000072023-06-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 하왕십리동 959-2서울특별시 성동구 왕십리로 347, 2층 (하왕십리동)4710리피티2023-07-05 14:53:05U2022-12-07 00:07:00.0<NA>202689.659482451231.738579<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1593030000CDFH33010620230000082023-06-30<NA>1영업/정상13영업중<NA><NA><NA><NA>0222924232<NA><NA>서울특별시 성동구 하왕십리동 291-10 덕융빌딩서울특별시 성동구 청계천로 452, 덕융빌딩 101호 (하왕십리동)4702바디텍쳐2023-06-30 10:44:22I2022-12-07 00:02:00.0<NA>202326.598296451988.812477<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1603030000CDFH33010620230000092023-08-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 옥수동 191-3 강변벽산빌라트서울특별시 성동구 한림말길 56, 강변벽산빌라트 B02호 (옥수동)4736팰리스짐 프리미엄 한남2024-01-11 09:31:53U2023-11-30 23:03:00.0<NA>201462.251313448744.038108<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1613030000CDFH33010620230000102023-11-28<NA>1영업/정상13영업중<NA><NA><NA><NA>024981109<NA><NA>서울특별시 성동구 성수동2가 289-10 제강빌딩서울특별시 성동구 성수이로 113, 제강빌딩 B1층 (성수동2가)4794짐타임 성수역점2023-11-30 17:34:12U2022-11-02 00:02:00.0<NA>204976.65205449220.696791<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1623030000CDFH33010620230000112023-12-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 도선동 256-5서울특별시 성동구 왕십리로 332, B1층 (도선동)4709셀바디2023-12-06 12:57:23U2022-11-02 00:08:00.0<NA>202861.840909451192.711213<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1633030000CDFH33010620240000012024-01-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 하왕십리동 966-23 금용빌딩서울특별시 성동구 무학봉28길 6, 금용빌딩 2층 (하왕십리동)4714하이퍼짐(HYPER GYM)2024-01-15 17:20:03I2023-11-30 23:07:00.0<NA>202816.594432451095.67484<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1643030000CDFH33010620240000022024-03-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동1가 13-266 서울숲 무지개서울특별시 성동구 상원6나길 30, 지하2층 B201호 (성수동1가, 서울숲 무지개)4790피트니스 비긴즈(Fitness Begins)2024-03-07 18:14:11I2023-12-03 00:09:00.0<NA>204374.779249449497.303635<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1653030000CDFH33010620240000032024-03-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 도선동 285-1 위너스 오피스텔 B201호서울특별시 성동구 왕십리로 340, 위너스 오피스텔 B201호 (도선동)4707HUTZ2024-03-29 12:49:06I2023-12-02 21:01:00.0<NA>202795.584167451229.645563<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1663030000CDFH33010620240000042024-04-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 마장동 774-2 복성빌딩서울특별시 성동구 마장로 284, 복성빌딩 지하1층 (마장동)4759리커버리PT2024-04-05 14:39:51I2023-12-04 00:07:00.0<NA>203575.888961451451.732566<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1673030000CDFH33010620240000052024-04-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 금호동1가 1574서울특별시 성동구 독서당로51길 8, 지하1층 (금호동1가)4718가미핏2024-04-23 16:45:23I2023-12-03 22:05:00.0<NA>202264.326356449606.421803<NA><NA><NA><NA><NA><NA><NA><NA><NA>