Overview

Dataset statistics

Number of variables34
Number of observations159
Missing cells1176
Missing cells (%)21.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory45.0 KiB
Average record size in memory289.8 B

Variable types

Categorical16
Text6
DateTime3
Unsupported5
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,공사립구분명,보험가입여부코드,지도자수,건축물동수,건축물연면적,회원모집총인원,세부업종명,법인명
Author금천구
URLhttps://data.seoul.go.kr/dataList/OA-19844/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (93.1%)Imbalance
휴업종료일자 is highly imbalanced (93.1%)Imbalance
보험가입여부코드 is highly imbalanced (53.4%)Imbalance
건축물동수 is highly imbalanced (51.6%)Imbalance
회원모집총인원 is highly imbalanced (93.1%)Imbalance
인허가취소일자 has 159 (100.0%) missing valuesMissing
폐업일자 has 66 (41.5%) missing valuesMissing
재개업일자 has 159 (100.0%) missing valuesMissing
전화번호 has 63 (39.6%) missing valuesMissing
소재지면적 has 159 (100.0%) missing valuesMissing
소재지우편번호 has 31 (19.5%) missing valuesMissing
도로명주소 has 9 (5.7%) missing valuesMissing
도로명우편번호 has 106 (66.7%) missing valuesMissing
좌표정보(X) has 11 (6.9%) missing valuesMissing
좌표정보(Y) has 11 (6.9%) missing valuesMissing
건축물연면적 has 84 (52.8%) missing valuesMissing
세부업종명 has 159 (100.0%) missing valuesMissing
법인명 has 159 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 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
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 32 (20.1%) zerosZeros

Reproduction

Analysis started2024-04-17 16:12:27.462052
Analysis finished2024-04-17 16:12:27.942404
Duration0.48 seconds
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
3170000
159 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3170000
2nd row3170000
3rd row3170000
4th row3170000
5th row3170000

Common Values

ValueCountFrequency (%)
3170000 159
100.0%

Length

2024-04-18T01:12:27.989411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:12:28.060854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3170000 159
100.0%

관리번호
Text

UNIQUE 

Distinct159
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-18T01:12:28.187618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3180
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

Unique159 ?
Unique (%)100.0%

Sample

1st rowCDFH3301021989000001
2nd rowCDFH3301021989000002
3rd rowCDFH3301021989000003
4th rowCDFH3301021989000004
5th rowCDFH3301021989000005
ValueCountFrequency (%)
cdfh3301021989000001 1
 
0.6%
cdfh3301022005000007 1
 
0.6%
cdfh3301022006000003 1
 
0.6%
cdfh3301022006000004 1
 
0.6%
cdfh3301022006000005 1
 
0.6%
cdfh3301022006000006 1
 
0.6%
cdfh3301022006000007 1
 
0.6%
cdfh3301022006000008 1
 
0.6%
cdfh3301022006000009 1
 
0.6%
cdfh3301022006000002 1
 
0.6%
Other values (149) 149
93.7%
2024-04-18T01:12:28.433799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1306
41.1%
3 357
 
11.2%
2 314
 
9.9%
1 299
 
9.4%
C 159
 
5.0%
D 159
 
5.0%
F 159
 
5.0%
H 159
 
5.0%
9 119
 
3.7%
5 37
 
1.2%
Other values (4) 112
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2544
80.0%
Uppercase Letter 636
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1306
51.3%
3 357
 
14.0%
2 314
 
12.3%
1 299
 
11.8%
9 119
 
4.7%
5 37
 
1.5%
4 34
 
1.3%
6 29
 
1.1%
8 27
 
1.1%
7 22
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
C 159
25.0%
D 159
25.0%
F 159
25.0%
H 159
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2544
80.0%
Latin 636
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1306
51.3%
3 357
 
14.0%
2 314
 
12.3%
1 299
 
11.8%
9 119
 
4.7%
5 37
 
1.5%
4 34
 
1.3%
6 29
 
1.1%
8 27
 
1.1%
7 22
 
0.9%
Latin
ValueCountFrequency (%)
C 159
25.0%
D 159
25.0%
F 159
25.0%
H 159
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3180
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1306
41.1%
3 357
 
11.2%
2 314
 
9.9%
1 299
 
9.4%
C 159
 
5.0%
D 159
 
5.0%
F 159
 
5.0%
H 159
 
5.0%
9 119
 
3.7%
5 37
 
1.2%
Other values (4) 112
 
3.5%

인허가일자
Date

Distinct149
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum1989-09-08 00:00:00
Maximum2023-10-10 00:00:00
2024-04-18T01:12:28.548145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:12:28.655716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3
93 
1
64 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 93
58.5%
1 64
40.3%
2 2
 
1.3%

Length

2024-04-18T01:12:28.748404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:12:28.822218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 93
58.5%
1 64
40.3%
2 2
 
1.3%

영업상태명
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
폐업
93 
영업/정상
64 
휴업
 
2

Length

Max length5
Median length2
Mean length3.2075472
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 93
58.5%
영업/정상 64
40.3%
휴업 2
 
1.3%

Length

2024-04-18T01:12:28.903682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:12:28.979399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 93
58.5%
영업/정상 64
40.3%
휴업 2
 
1.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3
93 
13
64 
2
 
2

Length

Max length2
Median length1
Mean length1.4025157
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 93
58.5%
13 64
40.3%
2 2
 
1.3%

Length

2024-04-18T01:12:29.066774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:12:29.162178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 93
58.5%
13 64
40.3%
2 2
 
1.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
폐업
93 
영업중
64 
휴업
 
2

Length

Max length3
Median length2
Mean length2.4025157
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 93
58.5%
영업중 64
40.3%
휴업 2
 
1.3%

Length

2024-04-18T01:12:29.257523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:12:29.333485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 93
58.5%
영업중 64
40.3%
휴업 2
 
1.3%

폐업일자
Date

MISSING 

Distinct85
Distinct (%)91.4%
Missing66
Missing (%)41.5%
Memory size1.4 KiB
Minimum1996-04-24 00:00:00
Maximum2024-02-22 00:00:00
2024-04-18T01:12:29.418926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:12:29.516195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
157 
20191008
 
1
20221208
 
1

Length

Max length8
Median length4
Mean length4.0503145
Min length4

Unique

Unique2 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 157
98.7%
20191008 1
 
0.6%
20221208 1
 
0.6%

Length

2024-04-18T01:12:29.616609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:12:29.698505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 157
98.7%
20191008 1
 
0.6%
20221208 1
 
0.6%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
157 
20201007
 
1
20251208
 
1

Length

Max length8
Median length4
Mean length4.0503145
Min length4

Unique

Unique2 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 157
98.7%
20201007 1
 
0.6%
20251208 1
 
0.6%

Length

2024-04-18T01:12:29.788895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:12:29.872445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 157
98.7%
20201007 1
 
0.6%
20251208 1
 
0.6%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

전화번호
Text

MISSING 

Distinct89
Distinct (%)92.7%
Missing63
Missing (%)39.6%
Memory size1.4 KiB
2024-04-18T01:12:30.077086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length8.5520833
Min length8

Characters and Unicode

Total characters821
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

Unique82 ?
Unique (%)85.4%

Sample

1st row803-7571
2nd row804-2597
3rd row804-0539
4th row804-6368
5th row809-5994
ValueCountFrequency (%)
02-808-0606 2
 
2.1%
892-2777 2
 
2.1%
805-1113 2
 
2.1%
868-7033 2
 
2.1%
808-7006 2
 
2.1%
805-7977 2
 
2.1%
868-5557 2
 
2.1%
893-3090 1
 
1.0%
805-6000 1
 
1.0%
02-861-2345 1
 
1.0%
Other values (80) 80
82.5%
2024-04-18T01:12:30.425897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 134
16.3%
0 121
14.7%
- 109
13.3%
5 77
9.4%
7 76
9.3%
6 61
7.4%
9 59
7.2%
2 53
 
6.5%
3 53
 
6.5%
1 48
 
5.8%
Other values (2) 30
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 710
86.5%
Dash Punctuation 109
 
13.3%
Space Separator 2
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 134
18.9%
0 121
17.0%
5 77
10.8%
7 76
10.7%
6 61
8.6%
9 59
8.3%
2 53
 
7.5%
3 53
 
7.5%
1 48
 
6.8%
4 28
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 109
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 821
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 134
16.3%
0 121
14.7%
- 109
13.3%
5 77
9.4%
7 76
9.3%
6 61
7.4%
9 59
7.2%
2 53
 
6.5%
3 53
 
6.5%
1 48
 
5.8%
Other values (2) 30
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 821
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 134
16.3%
0 121
14.7%
- 109
13.3%
5 77
9.4%
7 76
9.3%
6 61
7.4%
9 59
7.2%
2 53
 
6.5%
3 53
 
6.5%
1 48
 
5.8%
Other values (2) 30
 
3.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

소재지우편번호
Text

MISSING 

Distinct52
Distinct (%)40.6%
Missing31
Missing (%)19.5%
Memory size1.4 KiB
2024-04-18T01:12:30.609309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0390625
Min length6

Characters and Unicode

Total characters773
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

Unique24 ?
Unique (%)18.8%

Sample

1st row153864
2nd row153825
3rd row153832
4th row153831
5th row153820
ValueCountFrequency (%)
153030 9
 
7.0%
153808 8
 
6.2%
153820 7
 
5.5%
153830 6
 
4.7%
153832 5
 
3.9%
153825 5
 
3.9%
153821 5
 
3.9%
153801 4
 
3.1%
153858 4
 
3.1%
153857 4
 
3.1%
Other values (42) 71
55.5%
2024-04-18T01:12:30.893131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 173
22.4%
5 160
20.7%
1 158
20.4%
8 122
15.8%
0 58
 
7.5%
2 30
 
3.9%
6 26
 
3.4%
4 19
 
2.5%
7 17
 
2.2%
9 5
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 768
99.4%
Dash Punctuation 5
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 173
22.5%
5 160
20.8%
1 158
20.6%
8 122
15.9%
0 58
 
7.6%
2 30
 
3.9%
6 26
 
3.4%
4 19
 
2.5%
7 17
 
2.2%
9 5
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 773
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 173
22.4%
5 160
20.7%
1 158
20.4%
8 122
15.8%
0 58
 
7.5%
2 30
 
3.9%
6 26
 
3.4%
4 19
 
2.5%
7 17
 
2.2%
9 5
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 773
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 173
22.4%
5 160
20.7%
1 158
20.4%
8 122
15.8%
0 58
 
7.5%
2 30
 
3.9%
6 26
 
3.4%
4 19
 
2.5%
7 17
 
2.2%
9 5
 
0.6%

지번주소
Text

Distinct147
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-18T01:12:31.125785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length41
Mean length24.433962
Min length17

Characters and Unicode

Total characters3885
Distinct characters103
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique136 ?
Unique (%)85.5%

Sample

1st row서울특별시 금천구 시흥동 991-47번지
2nd row서울특별시 금천구 독산동 988-13번지
3rd row서울특별시 금천구 독산동 1061-48번지
4th row서울특별시 금천구 독산동 1041-33번지
5th row서울특별시 금천구 독산동 907-1번지
ValueCountFrequency (%)
서울특별시 159
22.3%
금천구 159
22.3%
시흥동 75
 
10.5%
독산동 73
 
10.3%
가산동 11
 
1.5%
3층 7
 
1.0%
302호 5
 
0.7%
2층 4
 
0.6%
1150 3
 
0.4%
금천롯데캐슬골드파크2차 3
 
0.4%
Other values (193) 213
29.9%
2024-04-18T01:12:31.444001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
686
17.7%
시 234
 
6.0%
1 191
 
4.9%
금 163
 
4.2%
천 163
 
4.2%
서 161
 
4.1%
울 161
 
4.1%
동 160
 
4.1%
특 159
 
4.1%
별 159
 
4.1%
Other values (93) 1648
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2218
57.1%
Decimal Number 827
 
21.3%
Space Separator 686
 
17.7%
Dash Punctuation 137
 
3.5%
Uppercase Letter 12
 
0.3%
Other Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 234
 
10.6%
금 163
 
7.3%
천 163
 
7.3%
서 161
 
7.3%
울 161
 
7.3%
동 160
 
7.2%
특 159
 
7.2%
별 159
 
7.2%
구 159
 
7.2%
지 113
 
5.1%
Other values (73) 586
26.4%
Decimal Number
ValueCountFrequency (%)
1 191
23.1%
3 94
11.4%
0 93
11.2%
2 89
10.8%
9 81
9.8%
4 68
 
8.2%
8 63
 
7.6%
5 62
 
7.5%
7 49
 
5.9%
6 37
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
B 5
41.7%
A 3
25.0%
J 1
 
8.3%
S 1
 
8.3%
C 1
 
8.3%
D 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
/ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
686
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 137
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2218
57.1%
Common 1655
42.6%
Latin 12
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 234
 
10.6%
금 163
 
7.3%
천 163
 
7.3%
서 161
 
7.3%
울 161
 
7.3%
동 160
 
7.2%
특 159
 
7.2%
별 159
 
7.2%
구 159
 
7.2%
지 113
 
5.1%
Other values (73) 586
26.4%
Common
ValueCountFrequency (%)
686
41.5%
1 191
 
11.5%
- 137
 
8.3%
3 94
 
5.7%
0 93
 
5.6%
2 89
 
5.4%
9 81
 
4.9%
4 68
 
4.1%
8 63
 
3.8%
5 62
 
3.7%
Other values (4) 91
 
5.5%
Latin
ValueCountFrequency (%)
B 5
41.7%
A 3
25.0%
J 1
 
8.3%
S 1
 
8.3%
C 1
 
8.3%
D 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2218
57.1%
ASCII 1667
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
686
41.2%
1 191
 
11.5%
- 137
 
8.2%
3 94
 
5.6%
0 93
 
5.6%
2 89
 
5.3%
9 81
 
4.9%
4 68
 
4.1%
8 63
 
3.8%
5 62
 
3.7%
Other values (10) 103
 
6.2%
Hangul
ValueCountFrequency (%)
시 234
 
10.6%
금 163
 
7.3%
천 163
 
7.3%
서 161
 
7.3%
울 161
 
7.3%
동 160
 
7.2%
특 159
 
7.2%
별 159
 
7.2%
구 159
 
7.2%
지 113
 
5.1%
Other values (73) 586
26.4%

도로명주소
Text

MISSING 

Distinct144
Distinct (%)96.0%
Missing9
Missing (%)5.7%
Memory size1.4 KiB
2024-04-18T01:12:31.600402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length46
Mean length29.126667
Min length22

Characters and Unicode

Total characters4369
Distinct characters133
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

Unique138 ?
Unique (%)92.0%

Sample

1st row서울특별시 금천구 시흥대로51길 23 (시흥동)
2nd row서울특별시 금천구 시흥대로138길 13 (독산동)
3rd row서울특별시 금천구 시흥대로90길 33 (독산동)
4th row서울특별시 금천구 독산로64길 15 (독산동)
5th row서울특별시 금천구 문성로 52 (독산동)
ValueCountFrequency (%)
서울특별시 150
17.8%
금천구 150
17.8%
독산동 66
 
7.8%
시흥동 62
 
7.3%
독산로 23
 
2.7%
시흥대로 16
 
1.9%
3층 11
 
1.3%
금하로 9
 
1.1%
가산동 9
 
1.1%
2층 8
 
0.9%
Other values (228) 340
40.3%
2024-04-18T01:12:31.871956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
759
 
17.4%
시 265
 
6.1%
금 170
 
3.9%
동 157
 
3.6%
천 154
 
3.5%
서 152
 
3.5%
울 152
 
3.5%
로 150
 
3.4%
) 150
 
3.4%
( 150
 
3.4%
Other values (123) 2110
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2570
58.8%
Space Separator 759
 
17.4%
Decimal Number 645
 
14.8%
Close Punctuation 150
 
3.4%
Open Punctuation 150
 
3.4%
Other Punctuation 78
 
1.8%
Uppercase Letter 9
 
0.2%
Dash Punctuation 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 265
 
10.3%
금 170
 
6.6%
동 157
 
6.1%
천 154
 
6.0%
서 152
 
5.9%
울 152
 
5.9%
로 150
 
5.8%
특 150
 
5.8%
구 150
 
5.8%
별 150
 
5.8%
Other values (102) 920
35.8%
Decimal Number
ValueCountFrequency (%)
1 118
18.3%
2 102
15.8%
3 92
14.3%
4 74
11.5%
0 67
10.4%
7 44
 
6.8%
8 43
 
6.7%
5 40
 
6.2%
6 35
 
5.4%
9 30
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
B 5
55.6%
J 1
 
11.1%
S 1
 
11.1%
D 1
 
11.1%
A 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 77
98.7%
/ 1
 
1.3%
Space Separator
ValueCountFrequency (%)
759
100.0%
Close Punctuation
ValueCountFrequency (%)
) 150
100.0%
Open Punctuation
ValueCountFrequency (%)
( 150
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2570
58.8%
Common 1790
41.0%
Latin 9
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 265
 
10.3%
금 170
 
6.6%
동 157
 
6.1%
천 154
 
6.0%
서 152
 
5.9%
울 152
 
5.9%
로 150
 
5.8%
특 150
 
5.8%
구 150
 
5.8%
별 150
 
5.8%
Other values (102) 920
35.8%
Common
ValueCountFrequency (%)
759
42.4%
) 150
 
8.4%
( 150
 
8.4%
1 118
 
6.6%
2 102
 
5.7%
3 92
 
5.1%
, 77
 
4.3%
4 74
 
4.1%
0 67
 
3.7%
7 44
 
2.5%
Other values (6) 157
 
8.8%
Latin
ValueCountFrequency (%)
B 5
55.6%
J 1
 
11.1%
S 1
 
11.1%
D 1
 
11.1%
A 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2570
58.8%
ASCII 1799
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
759
42.2%
) 150
 
8.3%
( 150
 
8.3%
1 118
 
6.6%
2 102
 
5.7%
3 92
 
5.1%
, 77
 
4.3%
4 74
 
4.1%
0 67
 
3.7%
7 44
 
2.4%
Other values (11) 166
 
9.2%
Hangul
ValueCountFrequency (%)
시 265
 
10.3%
금 170
 
6.6%
동 157
 
6.1%
천 154
 
6.0%
서 152
 
5.9%
울 152
 
5.9%
로 150
 
5.8%
특 150
 
5.8%
구 150
 
5.8%
별 150
 
5.8%
Other values (102) 920
35.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)73.6%
Missing106
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean11335.679
Minimum8507
Maximum153012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-18T01:12:31.968778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8507
5-th percentile8529.6
Q18591
median8624
Q38645
95-th percentile8655
Maximum153012
Range144505
Interquartile range (IQR)54

Descriptive statistics

Standard deviation19835.025
Coefficient of variation (CV)1.749787
Kurtosis52.999543
Mean11335.679
Median Absolute Deviation (MAD)23
Skewness7.2800637
Sum600791
Variance3.934282 × 108
MonotonicityNot monotonic
2024-04-18T01:12:32.073889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
8608 4
 
2.5%
8627 3
 
1.9%
8652 3
 
1.9%
8645 3
 
1.9%
8655 3
 
1.9%
8638 2
 
1.3%
8622 2
 
1.3%
8635 2
 
1.3%
8620 1
 
0.6%
8557 1
 
0.6%
Other values (29) 29
 
18.2%
(Missing) 106
66.7%
ValueCountFrequency (%)
8507 1
0.6%
8511 1
0.6%
8520 1
0.6%
8536 1
0.6%
8543 1
0.6%
8557 1
0.6%
8559 1
0.6%
8562 1
0.6%
8565 1
0.6%
8569 1
0.6%
ValueCountFrequency (%)
153012 1
 
0.6%
8656 1
 
0.6%
8655 3
1.9%
8654 1
 
0.6%
8652 3
1.9%
8648 1
 
0.6%
8646 1
 
0.6%
8645 3
1.9%
8643 1
 
0.6%
8642 1
 
0.6%

사업장명
Text

Distinct147
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-18T01:12:32.226809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length7.1383648
Min length2

Characters and Unicode

Total characters1135
Distinct characters192
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique137 ?
Unique (%)86.2%

Sample

1st row천하체육관
2nd row거산태권도장
3rd row덕승체육관
4th row연세태권도
5th row미성체육관
ValueCountFrequency (%)
태권도 14
 
6.3%
용인대 6
 
2.7%
태권도장 5
 
2.2%
아이펀 4
 
1.8%
한국체대 4
 
1.8%
합기도 4
 
1.8%
아카데미 4
 
1.8%
체육관 3
 
1.3%
독산유도장 2
 
0.9%
정훈태권도장 2
 
0.9%
Other values (164) 175
78.5%
2024-04-18T01:12:32.487302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 102
 
9.0%
태 80
 
7.0%
권 79
 
7.0%
64
 
5.6%
관 63
 
5.6%
체 57
 
5.0%
육 53
 
4.7%
대 33
 
2.9%
장 32
 
2.8%
아 16
 
1.4%
Other values (182) 556
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1031
90.8%
Space Separator 64
 
5.6%
Uppercase Letter 31
 
2.7%
Lowercase Letter 6
 
0.5%
Close Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 102
 
9.9%
태 80
 
7.8%
권 79
 
7.7%
관 63
 
6.1%
체 57
 
5.5%
육 53
 
5.1%
대 33
 
3.2%
장 32
 
3.1%
아 16
 
1.6%
한 14
 
1.4%
Other values (159) 502
48.7%
Uppercase Letter
ValueCountFrequency (%)
M 5
16.1%
T 5
16.1%
S 3
9.7%
L 2
 
6.5%
W 2
 
6.5%
I 2
 
6.5%
A 2
 
6.5%
Y 2
 
6.5%
F 2
 
6.5%
G 1
 
3.2%
Other values (5) 5
16.1%
Lowercase Letter
ValueCountFrequency (%)
h 2
33.3%
e 2
33.3%
p 1
16.7%
o 1
16.7%
Space Separator
ValueCountFrequency (%)
64
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1031
90.8%
Common 67
 
5.9%
Latin 37
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 102
 
9.9%
태 80
 
7.8%
권 79
 
7.7%
관 63
 
6.1%
체 57
 
5.5%
육 53
 
5.1%
대 33
 
3.2%
장 32
 
3.1%
아 16
 
1.6%
한 14
 
1.4%
Other values (159) 502
48.7%
Latin
ValueCountFrequency (%)
M 5
13.5%
T 5
13.5%
S 3
 
8.1%
L 2
 
5.4%
W 2
 
5.4%
I 2
 
5.4%
A 2
 
5.4%
h 2
 
5.4%
e 2
 
5.4%
Y 2
 
5.4%
Other values (9) 10
27.0%
Common
ValueCountFrequency (%)
64
95.5%
) 1
 
1.5%
- 1
 
1.5%
( 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1031
90.8%
ASCII 104
 
9.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 102
 
9.9%
태 80
 
7.8%
권 79
 
7.7%
관 63
 
6.1%
체 57
 
5.5%
육 53
 
5.1%
대 33
 
3.2%
장 32
 
3.1%
아 16
 
1.6%
한 14
 
1.4%
Other values (159) 502
48.7%
ASCII
ValueCountFrequency (%)
64
61.5%
M 5
 
4.8%
T 5
 
4.8%
S 3
 
2.9%
L 2
 
1.9%
W 2
 
1.9%
I 2
 
1.9%
A 2
 
1.9%
h 2
 
1.9%
e 2
 
1.9%
Other values (13) 15
 
14.4%

최종수정일자
Date

Distinct129
Distinct (%)81.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2003-02-06 13:43:32
Maximum2024-04-03 13:06:01
2024-04-18T01:12:32.586929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:12:32.682277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
I
108 
U
51 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 108
67.9%
U 51
32.1%

Length

2024-04-18T01:12:32.775508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:12:32.846990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 108
67.9%
u 51
32.1%

데이터갱신일자
Categorical

Distinct40
Distinct (%)25.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2018-08-31 23:59:59.0
103 
2023-12-01 22:02:00.0
 
8
2020-09-26 02:40:00.0
 
4
2020-11-27 02:40:00.0
 
3
2020-04-16 00:23:21.0
 
2
Other values (35)
39 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique31 ?
Unique (%)19.5%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2019-08-09 02:40:00.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 103
64.8%
2023-12-01 22:02:00.0 8
 
5.0%
2020-09-26 02:40:00.0 4
 
2.5%
2020-11-27 02:40:00.0 3
 
1.9%
2020-04-16 00:23:21.0 2
 
1.3%
2020-10-31 02:40:00.0 2
 
1.3%
2021-05-23 02:40:00.0 2
 
1.3%
2021-01-13 02:40:00.0 2
 
1.3%
2019-05-13 02:40:00.0 2
 
1.3%
2021-01-16 02:40:00.0 1
 
0.6%
Other values (30) 30
 
18.9%

Length

2024-04-18T01:12:32.922002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 103
32.4%
23:59:59.0 103
32.4%
02:40:00.0 32
 
10.1%
2023-12-01 9
 
2.8%
22:02:00.0 9
 
2.8%
2020-09-26 4
 
1.3%
2020-11-27 3
 
0.9%
2019-05-13 2
 
0.6%
22:08:00.0 2
 
0.6%
2019-11-10 2
 
0.6%
Other values (41) 49
15.4%

업태구분명
Categorical

Distinct7
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
75 
태권도
57 
권투
10 
유도
 
5
검도
 
5
Other values (2)
 
7

Length

Max length4
Median length3
Mean length3.3333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 75
47.2%
태권도 57
35.8%
권투 10
 
6.3%
유도 5
 
3.1%
검도 5
 
3.1%
합기도 5
 
3.1%
우슈 2
 
1.3%

Length

2024-04-18T01:12:33.016569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:12:33.109679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 75
47.2%
태권도 57
35.8%
권투 10
 
6.3%
유도 5
 
3.1%
검도 5
 
3.1%
합기도 5
 
3.1%
우슈 2
 
1.3%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct117
Distinct (%)79.1%
Missing11
Missing (%)6.9%
Infinite0
Infinite (%)0.0%
Mean191275.41
Minimum189417.71
Maximum192754.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-18T01:12:33.199984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189417.71
5-th percentile190229.82
Q1191039.13
median191316.49
Q3191577.07
95-th percentile192256.31
Maximum192754.35
Range3336.6376
Interquartile range (IQR)537.9352

Descriptive statistics

Standard deviation599.42573
Coefficient of variation (CV)0.0031338357
Kurtosis1.3061941
Mean191275.41
Median Absolute Deviation (MAD)264.81736
Skewness-0.42977667
Sum28308761
Variance359311.2
MonotonicityNot monotonic
2024-04-18T01:12:33.525091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
191270.164046719 4
 
2.5%
191316.48916949 3
 
1.9%
192754.34619252 3
 
1.9%
191352.950271359 3
 
1.9%
190567.418315661 3
 
1.9%
191408.778048786 3
 
1.9%
191219.606828111 3
 
1.9%
191516.16750508 2
 
1.3%
191307.566094569 2
 
1.3%
191577.065944718 2
 
1.3%
Other values (107) 120
75.5%
(Missing) 11
 
6.9%
ValueCountFrequency (%)
189417.708595762 1
0.6%
189472.091898625 1
0.6%
189538.020935968 1
0.6%
189722.178532426 1
0.6%
190023.426907798 1
0.6%
190050.903572929 1
0.6%
190217.532209117 1
0.6%
190228.398869974 1
0.6%
190232.47138241 2
1.3%
190418.330113618 2
1.3%
ValueCountFrequency (%)
192754.34619252 3
1.9%
192742.326147617 1
 
0.6%
192368.43764933 1
 
0.6%
192320.260387228 1
 
0.6%
192297.91598261 2
1.3%
192179.03624216 1
 
0.6%
192162.81636254 1
 
0.6%
192027.666332265 1
 
0.6%
191940.52846371 1
 
0.6%
191924.359561902 1
 
0.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct117
Distinct (%)79.1%
Missing11
Missing (%)6.9%
Infinite0
Infinite (%)0.0%
Mean439967.14
Minimum436946.36
Maximum442309.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-18T01:12:33.644658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum436946.36
5-th percentile438307.02
Q1438884.81
median440016.25
Q3440983.31
95-th percentile441766.27
Maximum442309.17
Range5362.8163
Interquartile range (IQR)2098.5

Descriptive statistics

Standard deviation1208.9871
Coefficient of variation (CV)0.0027479032
Kurtosis-0.9761816
Mean439967.14
Median Absolute Deviation (MAD)1063.66
Skewness-0.041263389
Sum65115137
Variance1461649.8
MonotonicityNot monotonic
2024-04-18T01:12:33.747794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
439819.290853572 4
 
2.5%
440754.140256867 3
 
1.9%
438827.143732711 3
 
1.9%
438307.022609784 3
 
1.9%
439569.401459017 3
 
1.9%
440989.79072106 3
 
1.9%
440445.718302559 3
 
1.9%
439647.109562443 2
 
1.3%
438982.510166033 2
 
1.3%
439488.592300576 2
 
1.3%
Other values (107) 120
75.5%
(Missing) 11
 
6.9%
ValueCountFrequency (%)
436946.358720615 1
 
0.6%
437647.525127383 1
 
0.6%
437689.38449215 1
 
0.6%
437753.206548839 1
 
0.6%
437799.809089881 2
1.3%
438294.344091932 1
 
0.6%
438307.022609784 3
1.9%
438307.423372216 2
1.3%
438356.170313032 1
 
0.6%
438367.332881743 1
 
0.6%
ValueCountFrequency (%)
442309.174987731 1
0.6%
442020.847866148 1
0.6%
441982.427934953 1
0.6%
441950.163808405 1
0.6%
441920.972770099 1
0.6%
441887.746329666 1
0.6%
441818.468882612 1
0.6%
441769.77081671 1
0.6%
441759.756774485 1
0.6%
441689.940211277 2
1.3%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
체육도장업
140 
<NA>
19 

Length

Max length5
Median length5
Mean length4.8805031
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체육도장업 140
88.1%
<NA> 19
 
11.9%

Length

2024-04-18T01:12:33.850696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:12:33.935402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육도장업 140
88.1%
na 19
 
11.9%

공사립구분명
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
사립
140 
<NA>
19 

Length

Max length4
Median length2
Mean length2.2389937
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 140
88.1%
<NA> 19
 
11.9%

Length

2024-04-18T01:12:34.020352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:12:34.109272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 140
88.1%
na 19
 
11.9%

보험가입여부코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
129 
0
29 
Y
 
1

Length

Max length4
Median length4
Mean length3.4339623
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> 129
81.1%
0 29
 
18.2%
Y 1
 
0.6%

Length

2024-04-18T01:12:34.193381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:12:34.276886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 129
81.1%
0 29
 
18.2%
y 1
 
0.6%

지도자수
Categorical

Distinct4
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
101 
0
32 
1
25 
2
 
1

Length

Max length4
Median length4
Mean length2.9056604
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 101
63.5%
0 32
 
20.1%
1 25
 
15.7%
2 1
 
0.6%

Length

2024-04-18T01:12:34.367227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:12:34.452822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 101
63.5%
0 32
 
20.1%
1 25
 
15.7%
2 1
 
0.6%

건축물동수
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
121 
0
32 
1
 
5
2
 
1

Length

Max length4
Median length4
Mean length3.2830189
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 121
76.1%
0 32
 
20.1%
1 5
 
3.1%
2 1
 
0.6%

Length

2024-04-18T01:12:34.554525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:12:34.642775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 121
76.1%
0 32
 
20.1%
1 5
 
3.1%
2 1
 
0.6%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct43
Distinct (%)57.3%
Missing84
Missing (%)52.8%
Infinite0
Infinite (%)0.0%
Mean1353.3773
Minimum0
Maximum43457
Zeros32
Zeros (%)20.1%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-18T01:12:34.728791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median247.44
Q3910.07
95-th percentile2962.419
Maximum43457
Range43457
Interquartile range (IQR)910.07

Descriptive statistics

Standard deviation5225.1655
Coefficient of variation (CV)3.8608342
Kurtosis59.076141
Mean1353.3773
Median Absolute Deviation (MAD)247.44
Skewness7.4319941
Sum101503.3
Variance27302354
MonotonicityNot monotonic
2024-04-18T01:12:34.827264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0.0 32
 
20.1%
1046.88 2
 
1.3%
734.28 1
 
0.6%
952.8 1
 
0.6%
597.43 1
 
0.6%
117.0 1
 
0.6%
73.0 1
 
0.6%
881.03 1
 
0.6%
1196.68 1
 
0.6%
448.0 1
 
0.6%
Other values (33) 33
 
20.8%
(Missing) 84
52.8%
ValueCountFrequency (%)
0.0 32
20.1%
73.0 1
 
0.6%
117.0 1
 
0.6%
118.75 1
 
0.6%
181.0 1
 
0.6%
238.61 1
 
0.6%
247.44 1
 
0.6%
356.89 1
 
0.6%
448.0 1
 
0.6%
488.96 1
 
0.6%
ValueCountFrequency (%)
43457.0 1
0.6%
13372.84 1
0.6%
5490.54 1
0.6%
3678.68 1
0.6%
2655.45 1
0.6%
2560.0 1
0.6%
1996.49 1
0.6%
1884.32 1
0.6%
1851.0 1
0.6%
1580.98 1
0.6%

회원모집총인원
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
157 
0
 
1
50
 
1

Length

Max length4
Median length4
Mean length3.9685535
Min length1

Unique

Unique2 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 157
98.7%
0 1
 
0.6%
50 1
 
0.6%

Length

2024-04-18T01:12:34.941311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:12:35.038431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 157
98.7%
0 1
 
0.6%
50 1
 
0.6%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03170000CDFH330102198900000119890908<NA>3폐업3폐업20180319<NA><NA><NA>803-7571<NA>153864서울특별시 금천구 시흥동 991-47번지서울특별시 금천구 시흥대로51길 23 (시흥동)<NA>천하체육관2018-03-19 12:17:53I2018-08-31 23:59:59.0태권도191094.192836438750.32722체육도장업사립<NA><NA><NA>1250.57<NA><NA><NA>
13170000CDFH330102198900000219890926<NA>3폐업3폐업20000728<NA><NA><NA><NA><NA>153825서울특별시 금천구 독산동 988-13번지서울특별시 금천구 시흥대로138길 13 (독산동)<NA>거산태권도장2003-02-06 13:43:32I2018-08-31 23:59:59.0<NA>191031.252608441192.101335체육도장업사립<NA>000.0<NA><NA><NA>
23170000CDFH330102198900000319891030<NA>1영업/정상13영업중<NA><NA><NA><NA>804-2597<NA>153832서울특별시 금천구 독산동 1061-48번지서울특별시 금천구 시흥대로90길 33 (독산동)<NA>덕승체육관2015-07-30 15:44:27I2018-08-31 23:59:59.0태권도191063.552427439998.230097체육도장업사립<NA><NA><NA>638.96<NA><NA><NA>
33170000CDFH330102198900000419891113<NA>1영업/정상13영업중<NA><NA><NA><NA>804-0539<NA>153831서울특별시 금천구 독산동 1041-33번지서울특별시 금천구 독산로64길 15 (독산동)<NA>연세태권도2019-08-07 09:08:47U2019-08-09 02:40:00.0태권도191392.139197440348.065051체육도장업사립<NA><NA><NA>1884.32<NA><NA><NA>
43170000CDFH330102198900000519891205<NA>3폐업3폐업19960424<NA><NA><NA><NA><NA>153820서울특별시 금천구 독산동 907-1번지서울특별시 금천구 문성로 52 (독산동)<NA>미성체육관2003-02-06 13:43:32I2018-08-31 23:59:59.0<NA>191913.274044441626.55028체육도장업사립<NA>000.0<NA><NA><NA>
53170000CDFH330102198900000619891221<NA>3폐업3폐업20020404<NA><NA><NA><NA><NA>153823서울특별시 금천구 독산동 952-54번지서울특별시 금천구 남부순환로124길 8 (독산동)<NA>비룡태권도장2003-02-06 13:43:32I2018-08-31 23:59:59.0<NA>191305.689318441887.74633체육도장업사립<NA>000.0<NA><NA><NA>
63170000CDFH330102198900000719891229<NA>3폐업3폐업20071214<NA><NA><NA>804-6368<NA>153854서울특별시 금천구 시흥동 795-35번지서울특별시 금천구 독산로44길 64 (시흥동)<NA>청룡태권도장2007-12-14 17:42:37I2018-08-31 23:59:59.0<NA>191820.54772439958.47551체육도장업사립0<NA><NA>926.96<NA><NA><NA>
73170000CDFH330102199000000119900129<NA>1영업/정상13영업중<NA><NA><NA><NA>809-5994<NA>153857서울특별시 금천구 시흥동 873-2번지서울특별시 금천구 시흥대로68길 58 (시흥동)<NA>용인대 효 태권도2015-07-30 15:31:57I2018-08-31 23:59:59.0태권도191299.934239439477.011432체육도장업사립<NA><NA><NA>247.44<NA><NA><NA>
83170000CDFH330102199000000319900205<NA>3폐업3폐업19980826<NA><NA><NA><NA><NA>153821서울특별시 금천구 독산동 1022-124번지서울특별시 금천구 독산로70길 3 (독산동)<NA>독산남부체육관2003-02-06 13:43:32I2018-08-31 23:59:59.0<NA>191258.023947440496.257052체육도장업사립<NA>000.0<NA><NA><NA>
93170000CDFH330102199000000419900205<NA>3폐업3폐업20020401<NA><NA><NA><NA><NA>153801서울특별시 금천구 가산동 151-16번지서울특별시 금천구 남부순환로112길 41 (가산동)<NA>남부중앙체육관2003-02-06 13:43:32I2018-08-31 23:59:59.0<NA>190533.183553441683.469126체육도장업사립<NA>000.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
1493170000CDFH330102202000000220200402<NA>1영업/정상13영업중<NA><NA><NA><NA>02-807-8932<NA><NA>서울특별시 금천구 독산동 378-446번지 제유빌딩서울특별시 금천구 독산로 180, 제유빌딩 3층층 (독산동)8562화랑 합기도 무무관2020-04-02 09:00:04I2020-04-04 00:23:22.0합기도191426.775892440135.237687체육도장업사립<NA>1<NA><NA><NA><NA><NA>
1503170000CDFH33010220200000032020-04-13<NA>1영업/정상13영업중<NA><NA><NA><NA>02-895-0203<NA><NA>서울특별시 금천구 시흥동 1026 남서울힐스테이트아파트서울특별시 금천구 시흥대로 165, 2층 (시흥동, 남서울힐스테이트아파트)8637명지대 한얼 합기도2024-02-20 19:17:41U2023-12-01 22:02:00.0합기도191190.614296438410.522111<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1513170000CDFH330102202000000420200414<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 842-3번지 중앙빌딩서울특별시 금천구 독산로 97, 중앙빌딩 (시흥동)8627대일 합기도 체육관2020-04-14 10:06:21I2020-04-16 00:23:21.0합기도191568.274694439329.286902체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
1523170000CDFH330102202000000520200414<NA>1영업/정상13영업중<NA><NA><NA><NA>02-803-8039<NA><NA>서울특별시 금천구 시흥동 266-2703번지서울특별시 금천구 금하로 760, 2층층 (시흥동)8645강건 합기도2020-04-14 10:06:51I2020-04-16 00:23:21.0합기도192320.260387438639.552172체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
1533170000CDFH33010220200000062020-04-14<NA>1영업/정상13영업중<NA><NA><NA><NA>02-806-0613<NA><NA>서울특별시 금천구 시흥동 909-26서울특별시 금천구 은행나무로 49, 3층 (시흥동)8642탑무예합기도2024-02-20 19:17:22U2023-12-01 22:02:00.0합기도191769.743683438774.290457<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1543170000CDFH33010220200000072020-10-27<NA>1영업/정상13영업중<NA><NA><NA><NA>02-808-0606<NA><NA>서울특별시 금천구 독산동 1150 금천롯데캐슬골드파크2차서울특별시 금천구 벚꽃로 30, 207동 414호 (독산동, 금천롯데캐슬골드파크2차)8608한국체대 금나래태권도2024-01-26 13:15:14U2023-11-30 22:08:00.0태권도190567.418316439569.401459<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1553170000CDFH33010220210000012021-04-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 1004 씨엘빌딩서울특별시 금천구 벚꽃로 114, 씨엘빌딩 2층 (독산동)8601아이펀2024-04-03 13:06:01U2023-12-04 00:05:00.0태권도190217.532209440365.053994<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1563170000CDFH33010220230000012023-03-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 60-19 SJ테크노빌 B108, B109호서울특별시 금천구 벚꽃로 278, SJ테크노빌 B108, B109호 (가산동)8511엑스퍼트짐 가산점2024-02-20 18:41:48U2023-12-01 22:02:00.0권투189722.178532441920.97277<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1573170000CDFH33010220230000022023-07-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 794-11 반도상가서울특별시 금천구 독산로50길 90, 반도상가 301호 (시흥동)8565점프파이어2024-02-20 18:53:11U2023-12-01 22:02:00.0태권도191890.982927440025.71454<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1583170000CDFH33010220230000032023-10-10<NA>1영업/정상13영업중<NA><NA><NA><NA>028387007<NA><NA>서울특별시 금천구 가산동 371-28 우림라이온스밸리서울특별시 금천구 가산디지털1로 168, 우림라이온스밸리 A동 B117,B118호 (가산동)8507히트앤핏 가산2024-02-20 18:41:27U2023-12-01 22:02:00.0권투189538.020936441982.427935<NA><NA><NA><NA><NA><NA><NA><NA><NA>