Overview

Dataset statistics

Number of variables34
Number of observations204
Missing cells1902
Missing cells (%)27.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory57.5 KiB
Average record size in memory288.6 B

Variable types

Categorical13
Text7
DateTime4
Unsupported7
Numeric3

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
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-19840/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
보험가입여부코드 is highly imbalanced (65.2%)Imbalance
회원모집총인원 is highly imbalanced (83.4%)Imbalance
인허가취소일자 has 204 (100.0%) missing valuesMissing
폐업일자 has 100 (49.0%) missing valuesMissing
휴업시작일자 has 204 (100.0%) missing valuesMissing
휴업종료일자 has 204 (100.0%) missing valuesMissing
재개업일자 has 204 (100.0%) missing valuesMissing
전화번호 has 57 (27.9%) missing valuesMissing
소재지면적 has 204 (100.0%) missing valuesMissing
소재지우편번호 has 64 (31.4%) missing valuesMissing
도로명주소 has 15 (7.4%) missing valuesMissing
도로명우편번호 has 76 (37.3%) missing valuesMissing
좌표정보(X) has 10 (4.9%) missing valuesMissing
좌표정보(Y) has 10 (4.9%) missing valuesMissing
건축물연면적 has 142 (69.6%) missing valuesMissing
세부업종명 has 204 (100.0%) missing valuesMissing
법인명 has 204 (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
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 56 (27.5%) zerosZeros

Reproduction

Analysis started2024-04-20 19:28:48.750190
Analysis finished2024-04-20 19:28:49.749445
Duration1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
3130000
204 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3130000
2nd row3130000
3rd row3130000
4th row3130000
5th row3130000

Common Values

ValueCountFrequency (%)
3130000 204
100.0%

Length

2024-04-21T04:28:49.926478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:28:50.229463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 204
100.0%

관리번호
Text

UNIQUE 

Distinct204
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-21T04:28:50.868032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters4080
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

Unique204 ?
Unique (%)100.0%

Sample

1st rowCDFH3301021982000001
2nd rowCDFH3301021982000004
3rd rowCDFH3301021982000005
4th rowCDFH3301021982000007
5th rowCDFH3301021983000001
ValueCountFrequency (%)
cdfh3301021982000001 1
 
0.5%
cdfh3301022011000003 1
 
0.5%
cdfh3301022013000005 1
 
0.5%
cdfh3301022010000004 1
 
0.5%
cdfh3301022010000005 1
 
0.5%
cdfh3301022010000006 1
 
0.5%
cdfh3301022010000007 1
 
0.5%
cdfh3301022010000008 1
 
0.5%
cdfh3301022010000009 1
 
0.5%
cdfh3301022010000010 1
 
0.5%
Other values (194) 194
95.1%
2024-04-21T04:28:52.196179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1638
40.1%
3 459
 
11.2%
2 411
 
10.1%
1 403
 
9.9%
C 204
 
5.0%
D 204
 
5.0%
F 204
 
5.0%
H 204
 
5.0%
9 144
 
3.5%
4 50
 
1.2%
Other values (4) 159
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3264
80.0%
Uppercase Letter 816
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1638
50.2%
3 459
 
14.1%
2 411
 
12.6%
1 403
 
12.3%
9 144
 
4.4%
4 50
 
1.5%
5 44
 
1.3%
8 43
 
1.3%
6 40
 
1.2%
7 32
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 204
25.0%
D 204
25.0%
F 204
25.0%
H 204
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3264
80.0%
Latin 816
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1638
50.2%
3 459
 
14.1%
2 411
 
12.6%
1 403
 
12.3%
9 144
 
4.4%
4 50
 
1.5%
5 44
 
1.3%
8 43
 
1.3%
6 40
 
1.2%
7 32
 
1.0%
Latin
ValueCountFrequency (%)
C 204
25.0%
D 204
25.0%
F 204
25.0%
H 204
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4080
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1638
40.1%
3 459
 
11.2%
2 411
 
10.1%
1 403
 
9.9%
C 204
 
5.0%
D 204
 
5.0%
F 204
 
5.0%
H 204
 
5.0%
9 144
 
3.5%
4 50
 
1.2%
Other values (4) 159
 
3.9%

인허가일자
Date

Distinct191
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum1982-01-26 00:00:00
Maximum2024-04-03 00:00:00
2024-04-21T04:28:52.607180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T04:28:53.052630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing204
Missing (%)100.0%
Memory size1.9 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
1
99 
3
98 
4
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 99
48.5%
3 98
48.0%
4 7
 
3.4%

Length

2024-04-21T04:28:53.448543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:28:53.762297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 99
48.5%
3 98
48.0%
4 7
 
3.4%

영업상태명
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
영업/정상
99 
폐업
98 
취소/말소/만료/정지/중지
 
7

Length

Max length14
Median length5
Mean length3.8676471
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 99
48.5%
폐업 98
48.0%
취소/말소/만료/정지/중지 7
 
3.4%

Length

2024-04-21T04:28:54.124133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:28:54.455928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 99
48.5%
폐업 98
48.0%
취소/말소/만료/정지/중지 7
 
3.4%

상세영업상태코드
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
13
99 
3
98 
35
 
7

Length

Max length2
Median length2
Mean length1.5196078
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 99
48.5%
3 98
48.0%
35 7
 
3.4%

Length

2024-04-21T04:28:54.818332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:28:55.147039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 99
48.5%
3 98
48.0%
35 7
 
3.4%

상세영업상태명
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
영업중
99 
폐업
98 
직권말소
 
7

Length

Max length4
Median length3
Mean length2.5539216
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 99
48.5%
폐업 98
48.0%
직권말소 7
 
3.4%

Length

2024-04-21T04:28:55.540611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:28:55.895219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 99
48.5%
폐업 98
48.0%
직권말소 7
 
3.4%

폐업일자
Date

MISSING 

Distinct96
Distinct (%)92.3%
Missing100
Missing (%)49.0%
Memory size1.7 KiB
Minimum1997-05-31 00:00:00
Maximum2024-03-04 00:00:00
2024-04-21T04:28:56.240483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T04:28:56.629098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing204
Missing (%)100.0%
Memory size1.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing204
Missing (%)100.0%
Memory size1.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing204
Missing (%)100.0%
Memory size1.9 KiB

전화번호
Text

MISSING 

Distinct136
Distinct (%)92.5%
Missing57
Missing (%)27.9%
Memory size1.7 KiB
2024-04-21T04:28:57.843573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.4965986
Min length7

Characters and Unicode

Total characters1396
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

Unique125 ?
Unique (%)85.0%

Sample

1st row717-6565
2nd row02-363-7412
3rd row715-7897
4th row336-8572
5th row305-0066
ValueCountFrequency (%)
392-1738 2
 
1.4%
334-4711 2
 
1.4%
717-7878 2
 
1.4%
324-6409 2
 
1.4%
302-6795 2
 
1.4%
326-0115 2
 
1.4%
312-9600 2
 
1.4%
02-333-1693 2
 
1.4%
715-7883 2
 
1.4%
337-0478 2
 
1.4%
Other values (126) 127
86.4%
2024-04-21T04:28:59.468523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 228
16.3%
- 206
14.8%
2 188
13.5%
0 170
12.2%
7 155
11.1%
1 116
8.3%
4 79
 
5.7%
8 73
 
5.2%
6 62
 
4.4%
9 61
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1190
85.2%
Dash Punctuation 206
 
14.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 228
19.2%
2 188
15.8%
0 170
14.3%
7 155
13.0%
1 116
9.7%
4 79
 
6.6%
8 73
 
6.1%
6 62
 
5.2%
9 61
 
5.1%
5 58
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 206
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1396
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 228
16.3%
- 206
14.8%
2 188
13.5%
0 170
12.2%
7 155
11.1%
1 116
8.3%
4 79
 
5.7%
8 73
 
5.2%
6 62
 
4.4%
9 61
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1396
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 228
16.3%
- 206
14.8%
2 188
13.5%
0 170
12.2%
7 155
11.1%
1 116
8.3%
4 79
 
5.7%
8 73
 
5.2%
6 62
 
4.4%
9 61
 
4.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing204
Missing (%)100.0%
Memory size1.9 KiB

소재지우편번호
Text

MISSING 

Distinct88
Distinct (%)62.9%
Missing64
Missing (%)31.4%
Memory size1.7 KiB
2024-04-21T04:29:00.397210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1428571
Min length6

Characters and Unicode

Total characters860
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

Unique57 ?
Unique (%)40.7%

Sample

1st row121050
2nd row121858
3rd row121856
4th row121837
5th row121830
ValueCountFrequency (%)
121845 6
 
4.3%
121822 4
 
2.9%
121859 4
 
2.9%
121811 4
 
2.9%
121813 4
 
2.9%
121858 3
 
2.1%
121903 3
 
2.1%
121802 3
 
2.1%
121830 3
 
2.1%
121882 3
 
2.1%
Other values (78) 103
73.6%
2024-04-21T04:29:01.516469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 313
36.4%
2 178
20.7%
8 136
15.8%
0 47
 
5.5%
4 32
 
3.7%
7 32
 
3.7%
9 28
 
3.3%
5 27
 
3.1%
3 27
 
3.1%
6 20
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 840
97.7%
Dash Punctuation 20
 
2.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 313
37.3%
2 178
21.2%
8 136
16.2%
0 47
 
5.6%
4 32
 
3.8%
7 32
 
3.8%
9 28
 
3.3%
5 27
 
3.2%
3 27
 
3.2%
6 20
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 860
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 313
36.4%
2 178
20.7%
8 136
15.8%
0 47
 
5.5%
4 32
 
3.7%
7 32
 
3.7%
9 28
 
3.3%
5 27
 
3.1%
3 27
 
3.1%
6 20
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 860
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 313
36.4%
2 178
20.7%
8 136
15.8%
0 47
 
5.5%
4 32
 
3.7%
7 32
 
3.7%
9 28
 
3.3%
5 27
 
3.1%
3 27
 
3.1%
6 20
 
2.3%

지번주소
Text

Distinct197
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-21T04:29:02.497244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length24.995098
Min length17

Characters and Unicode

Total characters5099
Distinct characters132
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

Unique190 ?
Unique (%)93.1%

Sample

1st row서울특별시 마포구 마포동 195-1
2nd row서울특별시 마포구 아현동 85-666번지 3층
3rd row서울특별시 마포구 신수동 288-1번지
4th row서울특별시 마포구 서교동 340-4번지
5th row서울특별시 마포구 상암동 15-3번지
ValueCountFrequency (%)
서울특별시 204
20.7%
마포구 204
20.7%
망원동 27
 
2.7%
성산동 27
 
2.7%
2층 22
 
2.2%
상암동 19
 
1.9%
도화동 17
 
1.7%
3층 16
 
1.6%
서교동 15
 
1.5%
아현동 14
 
1.4%
Other values (295) 420
42.6%
2024-04-21T04:29:03.746844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
931
18.3%
서 220
 
4.3%
동 215
 
4.2%
구 208
 
4.1%
마 207
 
4.1%
포 206
 
4.0%
특 204
 
4.0%
별 204
 
4.0%
시 204
 
4.0%
울 204
 
4.0%
Other values (122) 2296
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2978
58.4%
Decimal Number 995
 
19.5%
Space Separator 931
 
18.3%
Dash Punctuation 168
 
3.3%
Other Punctuation 11
 
0.2%
Uppercase Letter 6
 
0.1%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 220
 
7.4%
동 215
 
7.2%
구 208
 
7.0%
마 207
 
7.0%
포 206
 
6.9%
특 204
 
6.9%
별 204
 
6.9%
시 204
 
6.9%
울 204
 
6.9%
지 173
 
5.8%
Other values (102) 933
31.3%
Decimal Number
ValueCountFrequency (%)
1 188
18.9%
2 142
14.3%
4 135
13.6%
3 123
12.4%
5 84
8.4%
0 83
8.3%
7 70
 
7.0%
6 64
 
6.4%
8 63
 
6.3%
9 43
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
A 4
66.7%
S 1
 
16.7%
B 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
, 9
81.8%
@ 2
 
18.2%
Space Separator
ValueCountFrequency (%)
931
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 168
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2978
58.4%
Common 2115
41.5%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 220
 
7.4%
동 215
 
7.2%
구 208
 
7.0%
마 207
 
7.0%
포 206
 
6.9%
특 204
 
6.9%
별 204
 
6.9%
시 204
 
6.9%
울 204
 
6.9%
지 173
 
5.8%
Other values (102) 933
31.3%
Common
ValueCountFrequency (%)
931
44.0%
1 188
 
8.9%
- 168
 
7.9%
2 142
 
6.7%
4 135
 
6.4%
3 123
 
5.8%
5 84
 
4.0%
0 83
 
3.9%
7 70
 
3.3%
6 64
 
3.0%
Other values (7) 127
 
6.0%
Latin
ValueCountFrequency (%)
A 4
66.7%
S 1
 
16.7%
B 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2978
58.4%
ASCII 2121
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
931
43.9%
1 188
 
8.9%
- 168
 
7.9%
2 142
 
6.7%
4 135
 
6.4%
3 123
 
5.8%
5 84
 
4.0%
0 83
 
3.9%
7 70
 
3.3%
6 64
 
3.0%
Other values (10) 133
 
6.3%
Hangul
ValueCountFrequency (%)
서 220
 
7.4%
동 215
 
7.2%
구 208
 
7.0%
마 207
 
7.0%
포 206
 
6.9%
특 204
 
6.9%
별 204
 
6.9%
시 204
 
6.9%
울 204
 
6.9%
지 173
 
5.8%
Other values (102) 933
31.3%

도로명주소
Text

MISSING 

Distinct182
Distinct (%)96.3%
Missing15
Missing (%)7.4%
Memory size1.7 KiB
2024-04-21T04:29:04.607694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length50
Mean length31.164021
Min length22

Characters and Unicode

Total characters5890
Distinct characters166
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

Unique175 ?
Unique (%)92.6%

Sample

1st row서울특별시 마포구 마포대로4가길 14 (마포동)
2nd row서울특별시 마포구 마포대로 264, 3층 (아현동)
3rd row서울특별시 마포구 토정로17길 17 (신수동)
4th row서울특별시 마포구 와우산로27길 39 (서교동)
5th row서울특별시 마포구 월드컵북로48길 23 (상암동)
ValueCountFrequency (%)
서울특별시 189
 
16.3%
마포구 189
 
16.3%
2층 34
 
2.9%
지하1층 29
 
2.5%
성산동 24
 
2.1%
월드컵북로 23
 
2.0%
망원동 23
 
2.0%
3층 20
 
1.7%
상암동 16
 
1.4%
서교동 15
 
1.3%
Other values (335) 601
51.7%
2024-04-21T04:29:05.749501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1034
 
17.6%
동 213
 
3.6%
서 209
 
3.5%
포 206
 
3.5%
마 205
 
3.5%
울 193
 
3.3%
구 192
 
3.3%
별 189
 
3.2%
시 189
 
3.2%
특 189
 
3.2%
Other values (156) 3071
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3430
58.2%
Space Separator 1034
 
17.6%
Decimal Number 812
 
13.8%
Close Punctuation 189
 
3.2%
Other Punctuation 189
 
3.2%
Open Punctuation 189
 
3.2%
Dash Punctuation 27
 
0.5%
Uppercase Letter 10
 
0.2%
Lowercase Letter 8
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 213
 
6.2%
서 209
 
6.1%
포 206
 
6.0%
마 205
 
6.0%
울 193
 
5.6%
구 192
 
5.6%
별 189
 
5.5%
시 189
 
5.5%
특 189
 
5.5%
로 173
 
5.0%
Other values (128) 1472
42.9%
Decimal Number
ValueCountFrequency (%)
1 181
22.3%
2 160
19.7%
3 97
11.9%
4 85
10.5%
0 64
 
7.9%
6 54
 
6.7%
7 48
 
5.9%
5 48
 
5.9%
9 41
 
5.0%
8 34
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
i 2
25.0%
b 1
12.5%
u 1
12.5%
l 1
12.5%
d 1
12.5%
n 1
12.5%
g 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
B 4
40.0%
S 2
20.0%
C 2
20.0%
L 1
 
10.0%
A 1
 
10.0%
Space Separator
ValueCountFrequency (%)
1034
100.0%
Close Punctuation
ValueCountFrequency (%)
) 189
100.0%
Other Punctuation
ValueCountFrequency (%)
, 189
100.0%
Open Punctuation
ValueCountFrequency (%)
( 189
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3430
58.2%
Common 2442
41.5%
Latin 18
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 213
 
6.2%
서 209
 
6.1%
포 206
 
6.0%
마 205
 
6.0%
울 193
 
5.6%
구 192
 
5.6%
별 189
 
5.5%
시 189
 
5.5%
특 189
 
5.5%
로 173
 
5.0%
Other values (128) 1472
42.9%
Common
ValueCountFrequency (%)
1034
42.3%
) 189
 
7.7%
, 189
 
7.7%
( 189
 
7.7%
1 181
 
7.4%
2 160
 
6.6%
3 97
 
4.0%
4 85
 
3.5%
0 64
 
2.6%
6 54
 
2.2%
Other values (6) 200
 
8.2%
Latin
ValueCountFrequency (%)
B 4
22.2%
S 2
11.1%
i 2
11.1%
C 2
11.1%
L 1
 
5.6%
b 1
 
5.6%
u 1
 
5.6%
l 1
 
5.6%
d 1
 
5.6%
n 1
 
5.6%
Other values (2) 2
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3430
58.2%
ASCII 2460
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1034
42.0%
) 189
 
7.7%
, 189
 
7.7%
( 189
 
7.7%
1 181
 
7.4%
2 160
 
6.5%
3 97
 
3.9%
4 85
 
3.5%
0 64
 
2.6%
6 54
 
2.2%
Other values (18) 218
 
8.9%
Hangul
ValueCountFrequency (%)
동 213
 
6.2%
서 209
 
6.1%
포 206
 
6.0%
마 205
 
6.0%
울 193
 
5.6%
구 192
 
5.6%
별 189
 
5.5%
시 189
 
5.5%
특 189
 
5.5%
로 173
 
5.0%
Other values (128) 1472
42.9%

도로명우편번호
Text

MISSING 

Distinct95
Distinct (%)74.2%
Missing76
Missing (%)37.3%
Memory size1.7 KiB
2024-04-21T04:29:06.694865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.078125
Min length5

Characters and Unicode

Total characters650
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

Unique75 ?
Unique (%)58.6%

Sample

1st row04175
2nd row04201
3rd row121846
4th row03959
5th row03941
ValueCountFrequency (%)
03964 6
 
4.7%
04152 5
 
3.9%
03905 4
 
3.1%
03930 3
 
2.3%
03940 3
 
2.3%
03968 3
 
2.3%
03918 3
 
2.3%
03941 2
 
1.6%
03912 2
 
1.6%
04149 2
 
1.6%
Other values (85) 95
74.2%
2024-04-21T04:29:07.874996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 187
28.8%
4 107
16.5%
9 72
 
11.1%
1 72
 
11.1%
3 71
 
10.9%
2 45
 
6.9%
8 26
 
4.0%
6 25
 
3.8%
5 23
 
3.5%
7 20
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 648
99.7%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 187
28.9%
4 107
16.5%
9 72
 
11.1%
1 72
 
11.1%
3 71
 
11.0%
2 45
 
6.9%
8 26
 
4.0%
6 25
 
3.9%
5 23
 
3.5%
7 20
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 650
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 187
28.8%
4 107
16.5%
9 72
 
11.1%
1 72
 
11.1%
3 71
 
10.9%
2 45
 
6.9%
8 26
 
4.0%
6 25
 
3.8%
5 23
 
3.5%
7 20
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 650
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 187
28.8%
4 107
16.5%
9 72
 
11.1%
1 72
 
11.1%
3 71
 
10.9%
2 45
 
6.9%
8 26
 
4.0%
6 25
 
3.8%
5 23
 
3.5%
7 20
 
3.1%

사업장명
Text

Distinct188
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-21T04:29:08.594627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length18
Mean length7.2107843
Min length2

Characters and Unicode

Total characters1471
Distinct characters224
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

Unique175 ?
Unique (%)85.8%

Sample

1st row마포중앙체육관
2nd row새한체육관
3rd row신수체육관
4th row홍익태권도
5th row상암체육관
ValueCountFrequency (%)
태권도 16
 
5.7%
태권도장 8
 
2.8%
용인대 6
 
2.1%
한국체대 5
 
1.8%
경희대 5
 
1.8%
국가대표 4
 
1.4%
효 4
 
1.4%
복싱짐 4
 
1.4%
문무관 3
 
1.1%
삼산체육관 3
 
1.1%
Other values (203) 224
79.4%
2024-04-21T04:29:09.525342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 104
 
7.1%
태 88
 
6.0%
권 84
 
5.7%
78
 
5.3%
관 76
 
5.2%
체 63
 
4.3%
육 58
 
3.9%
대 41
 
2.8%
장 31
 
2.1%
성 23
 
1.6%
Other values (214) 825
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1283
87.2%
Space Separator 78
 
5.3%
Uppercase Letter 67
 
4.6%
Lowercase Letter 18
 
1.2%
Close Punctuation 8
 
0.5%
Open Punctuation 8
 
0.5%
Decimal Number 6
 
0.4%
Other Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 104
 
8.1%
태 88
 
6.9%
권 84
 
6.5%
관 76
 
5.9%
체 63
 
4.9%
육 58
 
4.5%
대 41
 
3.2%
장 31
 
2.4%
성 23
 
1.8%
싱 21
 
1.6%
Other values (178) 694
54.1%
Uppercase Letter
ValueCountFrequency (%)
S 10
14.9%
T 7
10.4%
A 6
 
9.0%
W 5
 
7.5%
M 5
 
7.5%
E 5
 
7.5%
J 4
 
6.0%
K 4
 
6.0%
B 3
 
4.5%
D 3
 
4.5%
Other values (10) 15
22.4%
Lowercase Letter
ValueCountFrequency (%)
g 3
16.7%
m 3
16.7%
o 2
11.1%
x 2
11.1%
i 2
11.1%
n 2
11.1%
y 2
11.1%
a 1
 
5.6%
e 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
8 2
33.3%
2 2
33.3%
1 2
33.3%
Space Separator
ValueCountFrequency (%)
78
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1283
87.2%
Common 103
 
7.0%
Latin 85
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 104
 
8.1%
태 88
 
6.9%
권 84
 
6.5%
관 76
 
5.9%
체 63
 
4.9%
육 58
 
4.5%
대 41
 
3.2%
장 31
 
2.4%
성 23
 
1.8%
싱 21
 
1.6%
Other values (178) 694
54.1%
Latin
ValueCountFrequency (%)
S 10
 
11.8%
T 7
 
8.2%
A 6
 
7.1%
W 5
 
5.9%
M 5
 
5.9%
E 5
 
5.9%
J 4
 
4.7%
K 4
 
4.7%
B 3
 
3.5%
g 3
 
3.5%
Other values (19) 33
38.8%
Common
ValueCountFrequency (%)
78
75.7%
) 8
 
7.8%
( 8
 
7.8%
. 3
 
2.9%
8 2
 
1.9%
2 2
 
1.9%
1 2
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1283
87.2%
ASCII 188
 
12.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 104
 
8.1%
태 88
 
6.9%
권 84
 
6.5%
관 76
 
5.9%
체 63
 
4.9%
육 58
 
4.5%
대 41
 
3.2%
장 31
 
2.4%
성 23
 
1.8%
싱 21
 
1.6%
Other values (178) 694
54.1%
ASCII
ValueCountFrequency (%)
78
41.5%
S 10
 
5.3%
) 8
 
4.3%
( 8
 
4.3%
T 7
 
3.7%
A 6
 
3.2%
W 5
 
2.7%
M 5
 
2.7%
E 5
 
2.7%
J 4
 
2.1%
Other values (26) 52
27.7%

최종수정일자
Date

Distinct180
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2003-04-18 14:56:03
Maximum2024-04-03 09:29:20
2024-04-21T04:29:09.843950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T04:29:10.262116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
I
127 
U
77 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 127
62.3%
U 77
37.7%

Length

2024-04-21T04:29:10.664455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:29:10.971241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 127
62.3%
u 77
37.7%

데이터갱신일자
Date

Distinct69
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:05:00
2024-04-21T04:29:11.303184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T04:29:11.728345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct8
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
143 
권투
25 
태권도
17 
유도
 
6
검도
 
6
Other values (3)
 
7

Length

Max length4
Median length4
Mean length3.5147059
Min length2

Unique

Unique2 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 143
70.1%
권투 25
 
12.3%
태권도 17
 
8.3%
유도 6
 
2.9%
검도 6
 
2.9%
합기도 5
 
2.5%
우슈 1
 
0.5%
레슬링 1
 
0.5%

Length

2024-04-21T04:29:12.177007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:29:12.556128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 143
70.1%
권투 25
 
12.3%
태권도 17
 
8.3%
유도 6
 
2.9%
검도 6
 
2.9%
합기도 5
 
2.5%
우슈 1
 
0.5%
레슬링 1
 
0.5%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct167
Distinct (%)86.1%
Missing10
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean193338.55
Minimum189315.37
Maximum196583.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-21T04:29:13.163000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189315.37
5-th percentile190536.26
Q1191658.81
median193360.66
Q3195101.57
95-th percentile196056.24
Maximum196583.87
Range7268.4975
Interquartile range (IQR)3442.7583

Descriptive statistics

Standard deviation1884.348
Coefficient of variation (CV)0.0097463645
Kurtosis-1.1035439
Mean193338.55
Median Absolute Deviation (MAD)1706.9209
Skewness-0.10783995
Sum37507679
Variance3550767.3
MonotonicityNot monotonic
2024-04-21T04:29:13.606234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
191644.000501123 3
 
1.5%
195058.187075674 2
 
1.0%
191653.739301631 2
 
1.0%
191566.245572504 2
 
1.0%
191441.13173765 2
 
1.0%
194103.426378286 2
 
1.0%
194855.132261445 2
 
1.0%
194917.600425413 2
 
1.0%
189315.370584751 2
 
1.0%
195184.335899857 2
 
1.0%
Other values (157) 173
84.8%
(Missing) 10
 
4.9%
ValueCountFrequency (%)
189315.370584751 2
1.0%
189343.04418441 1
0.5%
189520.410979113 1
0.5%
189592.30107511 1
0.5%
189611.288903747 1
0.5%
189640.477184701 2
1.0%
190489.596925595 1
0.5%
190490.42641517 1
0.5%
190560.932391065 1
0.5%
190625.002537437 1
0.5%
ValueCountFrequency (%)
196583.868057127 1
0.5%
196398.36805857 1
0.5%
196361.262742886 2
1.0%
196272.604250329 1
0.5%
196268.076310397 1
0.5%
196200.627043075 1
0.5%
196200.0 1
0.5%
196186.281331063 1
0.5%
196125.985603111 1
0.5%
196018.691950482 1
0.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct167
Distinct (%)86.1%
Missing10
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean450337.9
Minimum448236.66
Maximum453685.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-21T04:29:14.033849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448236.66
5-th percentile448702.94
Q1449452.66
median450262.44
Q3450841.1
95-th percentile452760.21
Maximum453685.55
Range5448.8903
Interquartile range (IQR)1388.4433

Descriptive statistics

Standard deviation1204.1359
Coefficient of variation (CV)0.0026738498
Kurtosis0.27502411
Mean450337.9
Median Absolute Deviation (MAD)704.67054
Skewness0.74069878
Sum87365552
Variance1449943.3
MonotonicityNot monotonic
2024-04-21T04:29:14.480624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451871.128551801 3
 
1.5%
449133.496591561 2
 
1.0%
450339.960143414 2
 
1.0%
451856.008738099 2
 
1.0%
450899.823916301 2
 
1.0%
449051.367508554 2
 
1.0%
449165.068261658 2
 
1.0%
449017.257462868 2
 
1.0%
453647.349314742 2
 
1.0%
448780.26877488 2
 
1.0%
Other values (157) 173
84.8%
(Missing) 10
 
4.9%
ValueCountFrequency (%)
448236.655548283 1
0.5%
448393.658663222 1
0.5%
448398.446051829 1
0.5%
448411.703822551 1
0.5%
448416.371593872 1
0.5%
448493.536326516 1
0.5%
448528.828102455 2
1.0%
448575.779442887 1
0.5%
448646.361658221 1
0.5%
448733.404817253 1
0.5%
ValueCountFrequency (%)
453685.545865753 1
0.5%
453647.349314742 2
1.0%
453624.945221014 1
0.5%
453114.474936778 1
0.5%
453102.501535521 1
0.5%
453099.841974076 2
1.0%
452776.936260307 2
1.0%
452751.198896623 1
0.5%
452679.06523554 1
0.5%
452676.547382437 1
0.5%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
체육도장업
158 
<NA>
46 

Length

Max length5
Median length5
Mean length4.7745098
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체육도장업 158
77.5%
<NA> 46
 
22.5%

Length

2024-04-21T04:29:14.903804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:29:15.227027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육도장업 158
77.5%
na 46
 
22.5%

공사립구분명
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
사립
158 
<NA>
46 

Length

Max length4
Median length2
Mean length2.4509804
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 158
77.5%
<NA> 46
 
22.5%

Length

2024-04-21T04:29:15.607345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:29:15.955417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 158
77.5%
na 46
 
22.5%

보험가입여부코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
180 
0
23 
Y
 
1

Length

Max length4
Median length4
Mean length3.6470588
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 180
88.2%
0 23
 
11.3%
Y 1
 
0.5%

Length

2024-04-21T04:29:16.321599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:29:16.662894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 180
88.2%
0 23
 
11.3%
y 1
 
0.5%

지도자수
Categorical

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
117 
1
58 
0
28 
2
 
1

Length

Max length4
Median length4
Mean length2.7205882
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 117
57.4%
1 58
28.4%
0 28
 
13.7%
2 1
 
0.5%

Length

2024-04-21T04:29:17.034049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:29:17.382921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 117
57.4%
1 58
28.4%
0 28
 
13.7%
2 1
 
0.5%

건축물동수
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
139 
0
62 
1
 
3

Length

Max length4
Median length4
Mean length3.0441176
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 139
68.1%
0 62
30.4%
1 3
 
1.5%

Length

2024-04-21T04:29:17.771168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:29:18.112514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 139
68.1%
0 62
30.4%
1 3
 
1.5%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)11.3%
Missing142
Missing (%)69.6%
Infinite0
Infinite (%)0.0%
Mean46.376774
Minimum0
Maximum1290.87
Zeros56
Zeros (%)27.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-21T04:29:18.413319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile185.96
Maximum1290.87
Range1290.87
Interquartile range (IQR)0

Descriptive statistics

Standard deviation200.05401
Coefficient of variation (CV)4.3136682
Kurtosis28.395059
Mean46.376774
Median Absolute Deviation (MAD)0
Skewness5.1946476
Sum2875.36
Variance40021.608
MonotonicityNot monotonic
2024-04-21T04:29:18.778771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 56
 
27.5%
67.29 1
 
0.5%
80.51 1
 
0.5%
191.51 1
 
0.5%
1290.87 1
 
0.5%
415.95 1
 
0.5%
829.23 1
 
0.5%
(Missing) 142
69.6%
ValueCountFrequency (%)
0.0 56
27.5%
67.29 1
 
0.5%
80.51 1
 
0.5%
191.51 1
 
0.5%
415.95 1
 
0.5%
829.23 1
 
0.5%
1290.87 1
 
0.5%
ValueCountFrequency (%)
1290.87 1
 
0.5%
829.23 1
 
0.5%
415.95 1
 
0.5%
191.51 1
 
0.5%
80.51 1
 
0.5%
67.29 1
 
0.5%
0.0 56
27.5%

회원모집총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
199 
0
 
5

Length

Max length4
Median length4
Mean length3.9264706
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> 199
97.5%
0 5
 
2.5%

Length

2024-04-21T04:29:19.173592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:29:19.497479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 199
97.5%
0 5
 
2.5%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing204
Missing (%)100.0%
Memory size1.9 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing204
Missing (%)100.0%
Memory size1.9 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03130000CDFH330102198200000119820126<NA>3폐업3폐업20220722<NA><NA><NA>717-6565<NA>121050서울특별시 마포구 마포동 195-1서울특별시 마포구 마포대로4가길 14 (마포동)04175마포중앙체육관2022-07-22 14:22:31U2021-12-06 22:04:00.0<NA>195120.039851448493.536327<NA><NA><NA><NA><NA><NA><NA><NA><NA>
13130000CDFH330102198200000419820126<NA>3폐업3폐업20171019<NA><NA><NA>02-363-7412<NA>121858서울특별시 마포구 아현동 85-666번지 3층서울특별시 마포구 마포대로 264, 3층 (아현동)04201새한체육관2017-10-19 10:58:20I2018-08-31 23:59:59.0<NA>196361.262743450514.421712체육도장업사립<NA><NA>00.0<NA><NA><NA>
23130000CDFH330102198200000519820208<NA>3폐업3폐업20040426<NA><NA><NA>715-7897<NA>121856서울특별시 마포구 신수동 288-1번지서울특별시 마포구 토정로17길 17 (신수동)<NA>신수체육관2010-01-06 15:14:12I2018-08-31 23:59:59.0<NA>194236.734675449243.162718체육도장업사립<NA><NA>00.0<NA><NA><NA>
33130000CDFH330102198200000719820224<NA>3폐업3폐업20090213<NA><NA><NA>336-8572<NA>121837서울특별시 마포구 서교동 340-4번지서울특별시 마포구 와우산로27길 39 (서교동)<NA>홍익태권도2009-03-06 13:54:55I2018-08-31 23:59:59.0<NA>193415.109461450259.775741체육도장업사립<NA><NA>00.0<NA><NA><NA>
43130000CDFH330102198300000119830504<NA>3폐업3폐업19970605<NA><NA><NA>305-0066<NA>121830서울특별시 마포구 상암동 15-3번지서울특별시 마포구 월드컵북로48길 23 (상암동)<NA>상암체육관2003-04-18 14:56:03I2018-08-31 23:59:59.0<NA>190634.643391452776.93626체육도장업사립<NA>000.0<NA><NA><NA>
53130000CDFH330102198300000219830504<NA>3폐업3폐업19970605<NA><NA><NA><NA><NA>121830서울특별시 마포구 상암동 15-3번지서울특별시 마포구 월드컵북로48길 23 (상암동)<NA>상암체육관2010-04-20 14:19:20I2018-08-31 23:59:59.0<NA>190634.643391452776.93626체육도장업사립<NA><NA>00.0<NA><NA><NA>
63130000CDFH330102198400000219840806<NA>3폐업3폐업20051229<NA><NA><NA>312-9600<NA>121860서울특별시 마포구 아현동 372-45번지<NA><NA>아현체육관2005-12-29 11:46:17I2018-08-31 23:59:59.0<NA>196272.60425450232.517004체육도장업사립0<NA><NA><NA><NA><NA><NA>
73130000CDFH330102198400000319840806<NA>3폐업3폐업20051219<NA><NA><NA>312-9600<NA>121860서울특별시 마포구 아현동 372-21번지<NA><NA>아현체육관2010-03-05 14:16:37I2018-08-31 23:59:59.0<NA>196268.07631450285.995298체육도장업사립<NA><NA>00.0<NA><NA><NA>
83130000CDFH330102198500000119850503<NA>3폐업3폐업20130107<NA><NA><NA>393-1257<NA>121846서울특별시 마포구 성산동 226-1번지 지층서울특별시 마포구 성미산로 88, 지하1층 (성산동)121846경성체육관2013-01-10 13:13:30I2018-08-31 23:59:59.0<NA>192631.156036450945.65954체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
93130000CDFH330102198700000119871127<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 망원동 427-20 2층서울특별시 마포구 월드컵로25길 68, 2층 (망원동)03959한국체대 동교 태권도장2020-07-09 15:12:58U2020-07-11 02:40:00.0태권도191450.165409450621.79837체육도장업사립<NA>10<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
1943130000CDFH330102202100000220210407<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 염리동 14-149서울특별시 마포구 대흥로24길 24, C201호,C202호 (염리동)04124CTA 퍼스트 태권도2021-12-23 13:00:26U2021-12-25 02:40:00.0태권도195243.086998450223.927419체육도장업사립<NA>100.00<NA><NA>
1953130000CDFH330102202100000320211015<NA>1영업/정상13영업중<NA><NA><NA><NA>02-711-6474<NA><NA>서울특별시 마포구 대흥동 802 대흥동세양아파트서울특별시 마포구 독막로 288, 지1층 B01호 (대흥동, 대흥동세양아파트)04152히트앤핏공덕2021-10-15 17:12:14I2021-10-17 00:22:47.0권투195058.187076449133.496592체육도장업사립<NA>000.00<NA><NA>
1963130000CDFH330102202100000420211228<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 용강동 494-32서울특별시 마포구 토정로 255, 지하1층 (용강동)04159파이널유도멀티짐2021-12-28 18:06:57I2021-12-30 00:22:41.0유도194533.073505449024.4145체육도장업사립<NA>100.00<NA><NA>
1973130000CDFH330102202200000120221206<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 성산동 232-4서울특별시 마포구 월드컵북로 69, 3층 일부호 (성산동)03999더블유에스(WS)복싱클럽2022-12-06 16:38:30I2021-11-02 00:08:00.0권투192537.843021450850.120324<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1983130000CDFH33010220230000012023-03-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 상암동 34-46서울특별시 마포구 월드컵북로 336, 지1층 (상암동)03930티에이치용인대상암유도관2023-03-14 13:49:40I2022-12-02 23:06:00.0유도190625.002537452644.181543<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1993130000CDFH33010220230000022023-03-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 342-20 지1층서울특별시 마포구 와우산로23길 20-30, 지1층 (서교동)04054히트앤핏홍대2023-10-06 09:28:28U2022-10-31 00:08:00.0권투193360.660239450212.141186<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2003130000CDFH33010220230000032023-08-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 476-18서울특별시 마포구 월드컵로10길 5, 2층 (서교동)04004더블유에스(WS)복싱클럽(합정점)2023-08-16 13:02:24I2022-12-07 23:08:00.0권투192155.264984450261.09982<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2013130000CDFH33010220230000042023-08-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 465-11 동진빌딩서울특별시 마포구 잔다리로 78, 동진빌딩 지1층 (서교동)04030케이레슬링홍대점2023-08-28 10:00:04I2022-12-07 21:00:00.0레슬링192544.226045450251.557355<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2023130000CDFH33010220240000012024-02-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 상암동 1684 월드프라자서울특별시 마포구 상암산로1길 73, 지하1층 (상암동)03905WS복싱클럽(월드컵파크점)2024-02-19 10:38:07U2023-12-01 22:01:00.0권투189611.288904453102.501536<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2033130000CDFH33010220240000022024-04-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 동교동 200-18서울특별시 마포구 동교로25길 16, 지하1층 (동교동)03993짐(gym)88 홍대점2024-04-03 09:29:20I2023-12-04 00:05:00.0권투193011.449981450630.336921<NA><NA><NA><NA><NA><NA><NA><NA><NA>