Overview

Dataset statistics

Number of variables34
Number of observations267
Missing cells2323
Missing cells (%)25.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory75.5 KiB
Average record size in memory289.5 B

Variable types

Categorical14
Text7
DateTime4
Unsupported6
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-19865/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (52.2%)Imbalance
영업상태명 is highly imbalanced (52.2%)Imbalance
상세영업상태코드 is highly imbalanced (52.2%)Imbalance
상세영업상태명 is highly imbalanced (52.2%)Imbalance
휴업시작일자 is highly imbalanced (96.4%)Imbalance
휴업종료일자 is highly imbalanced (96.4%)Imbalance
보험가입여부코드 is highly imbalanced (76.2%)Imbalance
건축물동수 is highly imbalanced (57.9%)Imbalance
회원모집총인원 is highly imbalanced (76.2%)Imbalance
인허가취소일자 has 267 (100.0%) missing valuesMissing
폐업일자 has 184 (68.9%) missing valuesMissing
재개업일자 has 267 (100.0%) missing valuesMissing
전화번호 has 124 (46.4%) missing valuesMissing
소재지면적 has 267 (100.0%) missing valuesMissing
소재지우편번호 has 152 (56.9%) missing valuesMissing
도로명주소 has 4 (1.5%) missing valuesMissing
도로명우편번호 has 38 (14.2%) missing valuesMissing
업태구분명 has 267 (100.0%) missing valuesMissing
건축물연면적 has 216 (80.9%) missing valuesMissing
세부업종명 has 267 (100.0%) missing valuesMissing
법인명 has 267 (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
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 35 (13.1%) zerosZeros

Reproduction

Analysis started2024-05-11 06:33:19.837672
Analysis finished2024-05-11 06:33:20.567382
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
3130000
267 

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 267
100.0%

Length

2024-05-11T15:33:20.638922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:33:20.729900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 267
100.0%

관리번호
Text

UNIQUE 

Distinct267
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-05-11T15:33:20.968565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters5340
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

Unique267 ?
Unique (%)100.0%

Sample

1st rowCDFH3301061989000002
2nd rowCDFH3301061989000003
3rd rowCDFH3301061989000005
4th rowCDFH3301061989000008
5th rowCDFH3301061989000009
ValueCountFrequency (%)
cdfh3301061989000002 1
 
0.4%
cdfh3301062020000008 1
 
0.4%
cdfh3301062021000010 1
 
0.4%
cdfh3301062019000011 1
 
0.4%
cdfh3301062019000012 1
 
0.4%
cdfh3301062019000013 1
 
0.4%
cdfh3301062019000014 1
 
0.4%
cdfh3301062019000015 1
 
0.4%
cdfh3301062019000016 1
 
0.4%
cdfh3301062020000001 1
 
0.4%
Other values (257) 257
96.3%
2024-05-11T15:33:21.383214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2121
39.7%
3 623
 
11.7%
1 525
 
9.8%
2 423
 
7.9%
6 302
 
5.7%
C 267
 
5.0%
D 267
 
5.0%
F 267
 
5.0%
H 267
 
5.0%
9 92
 
1.7%
Other values (4) 186
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4272
80.0%
Uppercase Letter 1068
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2121
49.6%
3 623
 
14.6%
1 525
 
12.3%
2 423
 
9.9%
6 302
 
7.1%
9 92
 
2.2%
4 54
 
1.3%
5 51
 
1.2%
8 45
 
1.1%
7 36
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 267
25.0%
D 267
25.0%
F 267
25.0%
H 267
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4272
80.0%
Latin 1068
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2121
49.6%
3 623
 
14.6%
1 525
 
12.3%
2 423
 
9.9%
6 302
 
7.1%
9 92
 
2.2%
4 54
 
1.3%
5 51
 
1.2%
8 45
 
1.1%
7 36
 
0.8%
Latin
ValueCountFrequency (%)
C 267
25.0%
D 267
25.0%
F 267
25.0%
H 267
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5340
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2121
39.7%
3 623
 
11.7%
1 525
 
9.8%
2 423
 
7.9%
6 302
 
5.7%
C 267
 
5.0%
D 267
 
5.0%
F 267
 
5.0%
H 267
 
5.0%
9 92
 
1.7%
Other values (4) 186
 
3.5%

인허가일자
Date

Distinct253
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum1989-12-26 00:00:00
Maximum2024-04-16 00:00:00
2024-05-11T15:33:21.537446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:33:21.683389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing267
Missing (%)100.0%
Memory size2.5 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
1
183 
3
82 
2
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
1 183
68.5%
3 82
30.7%
2 1
 
0.4%
5 1
 
0.4%

Length

2024-05-11T15:33:21.807940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:33:21.909941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 183
68.5%
3 82
30.7%
2 1
 
0.4%
5 1
 
0.4%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
영업/정상
183 
폐업
82 
휴업
 
1
제외/삭제/전출
 
1

Length

Max length8
Median length5
Mean length4.0786517
Min length2

Unique

Unique2 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 183
68.5%
폐업 82
30.7%
휴업 1
 
0.4%
제외/삭제/전출 1
 
0.4%

Length

2024-05-11T15:33:22.023562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:33:22.145258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 183
68.5%
폐업 82
30.7%
휴업 1
 
0.4%
제외/삭제/전출 1
 
0.4%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
13
183 
3
82 
2
 
1
15
 
1

Length

Max length2
Median length2
Mean length1.6891386
Min length1

Unique

Unique2 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
13 183
68.5%
3 82
30.7%
2 1
 
0.4%
15 1
 
0.4%

Length

2024-05-11T15:33:22.277766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:33:22.388916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 183
68.5%
3 82
30.7%
2 1
 
0.4%
15 1
 
0.4%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
영업중
183 
폐업
82 
휴업
 
1
전출
 
1

Length

Max length3
Median length3
Mean length2.6853933
Min length2

Unique

Unique2 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 183
68.5%
폐업 82
30.7%
휴업 1
 
0.4%
전출 1
 
0.4%

Length

2024-05-11T15:33:22.509696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:33:22.620574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 183
68.5%
폐업 82
30.7%
휴업 1
 
0.4%
전출 1
 
0.4%

폐업일자
Date

MISSING 

Distinct81
Distinct (%)97.6%
Missing184
Missing (%)68.9%
Memory size2.2 KiB
Minimum1997-05-17 00:00:00
Maximum2023-11-29 00:00:00
2024-05-11T15:33:22.750150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:33:22.905189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
266 
20130508
 
1

Length

Max length8
Median length4
Mean length4.0149813
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 266
99.6%
20130508 1
 
0.4%

Length

2024-05-11T15:33:23.073297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:33:23.206273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 266
99.6%
20130508 1
 
0.4%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
266 
20130901
 
1

Length

Max length8
Median length4
Mean length4.0149813
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 266
99.6%
20130901 1
 
0.4%

Length

2024-05-11T15:33:23.329765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:33:23.468499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 266
99.6%
20130901 1
 
0.4%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing267
Missing (%)100.0%
Memory size2.5 KiB

전화번호
Text

MISSING 

Distinct140
Distinct (%)97.9%
Missing124
Missing (%)46.4%
Memory size2.2 KiB
2024-05-11T15:33:23.749460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length11
Mean length10.552448
Min length1

Characters and Unicode

Total characters1509
Distinct characters14
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique137 ?
Unique (%)95.8%

Sample

1st row712-7294
2nd row02-716-0525
3rd row712-9685
4th row704-2978
5th row713-6913
ValueCountFrequency (%)
309-0310 2
 
1.4%
02-706-2003 2
 
1.4%
02-712-7531 2
 
1.4%
02-6953-9679 1
 
0.7%
02-322-2696 1
 
0.7%
02-336-6434 1
 
0.7%
02-3141-3690 1
 
0.7%
02-701-6577 1
 
0.7%
02-303-0071 1
 
0.7%
02-332-4936 1
 
0.7%
Other values (132) 132
91.0%
2024-05-11T15:33:24.218048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 241
16.0%
2 232
15.4%
0 226
15.0%
3 186
12.3%
7 132
8.7%
1 114
7.6%
6 89
 
5.9%
8 76
 
5.0%
9 74
 
4.9%
5 68
 
4.5%
Other values (4) 71
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1264
83.8%
Dash Punctuation 241
 
16.0%
Space Separator 2
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 232
18.4%
0 226
17.9%
3 186
14.7%
7 132
10.4%
1 114
9.0%
6 89
 
7.0%
8 76
 
6.0%
9 74
 
5.9%
5 68
 
5.4%
4 67
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
* 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 241
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1509
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 241
16.0%
2 232
15.4%
0 226
15.0%
3 186
12.3%
7 132
8.7%
1 114
7.6%
6 89
 
5.9%
8 76
 
5.0%
9 74
 
4.9%
5 68
 
4.5%
Other values (4) 71
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1509
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 241
16.0%
2 232
15.4%
0 226
15.0%
3 186
12.3%
7 132
8.7%
1 114
7.6%
6 89
 
5.9%
8 76
 
5.0%
9 74
 
4.9%
5 68
 
4.5%
Other values (4) 71
 
4.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing267
Missing (%)100.0%
Memory size2.5 KiB

소재지우편번호
Text

MISSING 

Distinct74
Distinct (%)64.3%
Missing152
Missing (%)56.9%
Memory size2.2 KiB
2024-05-11T15:33:24.564737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1304348
Min length6

Characters and Unicode

Total characters705
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

Unique47 ?
Unique (%)40.9%

Sample

1st row121827
2nd row121858
3rd row121874
4th row121-876
5th row121813
ValueCountFrequency (%)
121812 4
 
3.5%
121827 4
 
3.5%
121820 4
 
3.5%
121817 3
 
2.6%
121904 3
 
2.6%
121819 3
 
2.6%
121838 3
 
2.6%
121842 3
 
2.6%
121854 3
 
2.6%
121874 3
 
2.6%
Other values (64) 82
71.3%
2024-05-11T15:33:25.056133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 257
36.5%
2 140
19.9%
8 114
16.2%
0 39
 
5.5%
7 28
 
4.0%
4 27
 
3.8%
9 26
 
3.7%
5 25
 
3.5%
3 19
 
2.7%
6 15
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 690
97.9%
Dash Punctuation 15
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 257
37.2%
2 140
20.3%
8 114
16.5%
0 39
 
5.7%
7 28
 
4.1%
4 27
 
3.9%
9 26
 
3.8%
5 25
 
3.6%
3 19
 
2.8%
6 15
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 705
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 257
36.5%
2 140
19.9%
8 114
16.2%
0 39
 
5.5%
7 28
 
4.0%
4 27
 
3.8%
9 26
 
3.7%
5 25
 
3.5%
3 19
 
2.7%
6 15
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 705
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 257
36.5%
2 140
19.9%
8 114
16.2%
0 39
 
5.5%
7 28
 
4.0%
4 27
 
3.8%
9 26
 
3.7%
5 25
 
3.5%
3 19
 
2.7%
6 15
 
2.1%

지번주소
Text

Distinct262
Distinct (%)98.5%
Missing1
Missing (%)0.4%
Memory size2.2 KiB
2024-05-11T15:33:25.476507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length39
Mean length25.774436
Min length13

Characters and Unicode

Total characters6856
Distinct characters234
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

Unique258 ?
Unique (%)97.0%

Sample

1st row서울특별시 마포구 망원동 424-18번지
2nd row서울특별시 마포구 아현동 85-666번지
3rd row서울특별시 마포구 염리동 173-21번지
4th row서울특별시 마포구 용강동 122-16
5th row서울특별시 마포구 도화동 250-1번지
ValueCountFrequency (%)
서울특별시 266
20.1%
마포구 266
20.1%
서교동 45
 
3.4%
망원동 28
 
2.1%
상암동 24
 
1.8%
지하1층 20
 
1.5%
도화동 19
 
1.4%
동교동 18
 
1.4%
성산동 18
 
1.4%
합정동 14
 
1.1%
Other values (447) 604
45.7%
2024-05-11T15:33:26.112448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1210
 
17.6%
서 317
 
4.6%
동 298
 
4.3%
1 285
 
4.2%
마 278
 
4.1%
포 277
 
4.0%
시 273
 
4.0%
구 272
 
4.0%
별 268
 
3.9%
특 266
 
3.9%
Other values (224) 3112
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4026
58.7%
Decimal Number 1267
 
18.5%
Space Separator 1210
 
17.6%
Dash Punctuation 214
 
3.1%
Uppercase Letter 101
 
1.5%
Other Punctuation 20
 
0.3%
Math Symbol 6
 
0.1%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Lowercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 317
 
7.9%
동 298
 
7.4%
마 278
 
6.9%
포 277
 
6.9%
시 273
 
6.8%
구 272
 
6.8%
별 268
 
6.7%
특 266
 
6.6%
울 266
 
6.6%
지 169
 
4.2%
Other values (182) 1342
33.3%
Uppercase Letter
ValueCountFrequency (%)
B 14
13.9%
C 10
 
9.9%
M 8
 
7.9%
E 8
 
7.9%
A 7
 
6.9%
L 7
 
6.9%
S 5
 
5.0%
K 5
 
5.0%
D 5
 
5.0%
I 5
 
5.0%
Other values (11) 27
26.7%
Decimal Number
ValueCountFrequency (%)
1 285
22.5%
3 159
12.5%
4 153
12.1%
5 135
10.7%
2 133
10.5%
6 85
 
6.7%
7 84
 
6.6%
0 84
 
6.6%
8 79
 
6.2%
9 70
 
5.5%
Lowercase Letter
ValueCountFrequency (%)
r 1
25.0%
e 1
25.0%
w 1
25.0%
o 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 19
95.0%
& 1
 
5.0%
Space Separator
ValueCountFrequency (%)
1210
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 214
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4026
58.7%
Common 2725
39.7%
Latin 105
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 317
 
7.9%
동 298
 
7.4%
마 278
 
6.9%
포 277
 
6.9%
시 273
 
6.8%
구 272
 
6.8%
별 268
 
6.7%
특 266
 
6.6%
울 266
 
6.6%
지 169
 
4.2%
Other values (182) 1342
33.3%
Latin
ValueCountFrequency (%)
B 14
13.3%
C 10
 
9.5%
M 8
 
7.6%
E 8
 
7.6%
A 7
 
6.7%
L 7
 
6.7%
S 5
 
4.8%
K 5
 
4.8%
D 5
 
4.8%
I 5
 
4.8%
Other values (15) 31
29.5%
Common
ValueCountFrequency (%)
1210
44.4%
1 285
 
10.5%
- 214
 
7.9%
3 159
 
5.8%
4 153
 
5.6%
5 135
 
5.0%
2 133
 
4.9%
6 85
 
3.1%
7 84
 
3.1%
0 84
 
3.1%
Other values (7) 183
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4026
58.7%
ASCII 2830
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1210
42.8%
1 285
 
10.1%
- 214
 
7.6%
3 159
 
5.6%
4 153
 
5.4%
5 135
 
4.8%
2 133
 
4.7%
6 85
 
3.0%
7 84
 
3.0%
0 84
 
3.0%
Other values (32) 288
 
10.2%
Hangul
ValueCountFrequency (%)
서 317
 
7.9%
동 298
 
7.4%
마 278
 
6.9%
포 277
 
6.9%
시 273
 
6.8%
구 272
 
6.8%
별 268
 
6.7%
특 266
 
6.6%
울 266
 
6.6%
지 169
 
4.2%
Other values (182) 1342
33.3%

도로명주소
Text

MISSING 

Distinct260
Distinct (%)98.9%
Missing4
Missing (%)1.5%
Memory size2.2 KiB
2024-05-11T15:33:26.484367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length49
Mean length34.254753
Min length22

Characters and Unicode

Total characters9009
Distinct characters266
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

Unique257 ?
Unique (%)97.7%

Sample

1st row서울특별시 마포구 월드컵로25길 58 (망원동)
2nd row서울특별시 마포구 마포대로 264 (아현동)
3rd row서울특별시 마포구 토정로37길 47 (염리동)
4th row서울특별시 마포구 토정로32길 4 (용강동)
5th row서울특별시 마포구 도화길 10 (도화동)
ValueCountFrequency (%)
서울특별시 263
 
14.9%
마포구 263
 
14.9%
지하1층 61
 
3.5%
서교동 43
 
2.4%
2층 34
 
1.9%
3층 29
 
1.6%
망원동 25
 
1.4%
상암동 24
 
1.4%
4층 20
 
1.1%
양화로 19
 
1.1%
Other values (516) 979
55.6%
2024-05-11T15:33:27.063121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1531
 
17.0%
1 339
 
3.8%
, 334
 
3.7%
서 322
 
3.6%
동 312
 
3.5%
포 297
 
3.3%
마 296
 
3.3%
시 273
 
3.0%
구 269
 
3.0%
울 265
 
2.9%
Other values (256) 4771
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5194
57.7%
Space Separator 1531
 
17.0%
Decimal Number 1252
 
13.9%
Other Punctuation 335
 
3.7%
Close Punctuation 265
 
2.9%
Open Punctuation 265
 
2.9%
Uppercase Letter 122
 
1.4%
Dash Punctuation 31
 
0.3%
Math Symbol 10
 
0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 322
 
6.2%
동 312
 
6.0%
포 297
 
5.7%
마 296
 
5.7%
시 273
 
5.3%
구 269
 
5.2%
울 265
 
5.1%
별 264
 
5.1%
특 263
 
5.1%
로 258
 
5.0%
Other values (214) 2375
45.7%
Uppercase Letter
ValueCountFrequency (%)
B 33
27.0%
C 12
 
9.8%
M 9
 
7.4%
E 7
 
5.7%
L 7
 
5.7%
D 6
 
4.9%
A 6
 
4.9%
T 6
 
4.9%
K 5
 
4.1%
S 5
 
4.1%
Other values (11) 26
21.3%
Decimal Number
ValueCountFrequency (%)
1 339
27.1%
2 222
17.7%
3 154
12.3%
0 123
 
9.8%
4 103
 
8.2%
5 79
 
6.3%
7 72
 
5.8%
6 71
 
5.7%
8 51
 
4.1%
9 38
 
3.0%
Lowercase Letter
ValueCountFrequency (%)
r 1
25.0%
e 1
25.0%
w 1
25.0%
o 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 334
99.7%
& 1
 
0.3%
Space Separator
ValueCountFrequency (%)
1531
100.0%
Close Punctuation
ValueCountFrequency (%)
) 265
100.0%
Open Punctuation
ValueCountFrequency (%)
( 265
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5194
57.7%
Common 3689
40.9%
Latin 126
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 322
 
6.2%
동 312
 
6.0%
포 297
 
5.7%
마 296
 
5.7%
시 273
 
5.3%
구 269
 
5.2%
울 265
 
5.1%
별 264
 
5.1%
특 263
 
5.1%
로 258
 
5.0%
Other values (214) 2375
45.7%
Latin
ValueCountFrequency (%)
B 33
26.2%
C 12
 
9.5%
M 9
 
7.1%
E 7
 
5.6%
L 7
 
5.6%
D 6
 
4.8%
A 6
 
4.8%
T 6
 
4.8%
K 5
 
4.0%
S 5
 
4.0%
Other values (15) 30
23.8%
Common
ValueCountFrequency (%)
1531
41.5%
1 339
 
9.2%
, 334
 
9.1%
) 265
 
7.2%
( 265
 
7.2%
2 222
 
6.0%
3 154
 
4.2%
0 123
 
3.3%
4 103
 
2.8%
5 79
 
2.1%
Other values (7) 274
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5194
57.7%
ASCII 3815
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1531
40.1%
1 339
 
8.9%
, 334
 
8.8%
) 265
 
6.9%
( 265
 
6.9%
2 222
 
5.8%
3 154
 
4.0%
0 123
 
3.2%
4 103
 
2.7%
5 79
 
2.1%
Other values (32) 400
 
10.5%
Hangul
ValueCountFrequency (%)
서 322
 
6.2%
동 312
 
6.0%
포 297
 
5.7%
마 296
 
5.7%
시 273
 
5.3%
구 269
 
5.2%
울 265
 
5.1%
별 264
 
5.1%
특 263
 
5.1%
로 258
 
5.0%
Other values (214) 2375
45.7%

도로명우편번호
Text

MISSING 

Distinct146
Distinct (%)63.8%
Missing38
Missing (%)14.2%
Memory size2.2 KiB
2024-05-11T15:33:27.516640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1222707
Min length5

Characters and Unicode

Total characters1173
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

Unique90 ?
Unique (%)39.3%

Sample

1st row121-876
2nd row121812
3rd row04173
4th row04018
5th row04023
ValueCountFrequency (%)
04012 5
 
2.2%
03992 4
 
1.7%
04002 4
 
1.7%
03925 4
 
1.7%
04029 4
 
1.7%
03938 4
 
1.7%
04104 3
 
1.3%
03927 3
 
1.3%
04071 3
 
1.3%
03988 3
 
1.3%
Other values (136) 192
83.8%
2024-05-11T15:33:28.335299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 355
30.3%
4 195
16.6%
1 133
 
11.3%
9 103
 
8.8%
3 100
 
8.5%
2 93
 
7.9%
8 57
 
4.9%
7 49
 
4.2%
5 45
 
3.8%
6 38
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1168
99.6%
Dash Punctuation 5
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 355
30.4%
4 195
16.7%
1 133
 
11.4%
9 103
 
8.8%
3 100
 
8.6%
2 93
 
8.0%
8 57
 
4.9%
7 49
 
4.2%
5 45
 
3.9%
6 38
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1173
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 355
30.3%
4 195
16.6%
1 133
 
11.3%
9 103
 
8.8%
3 100
 
8.5%
2 93
 
7.9%
8 57
 
4.9%
7 49
 
4.2%
5 45
 
3.8%
6 38
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1173
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 355
30.3%
4 195
16.6%
1 133
 
11.3%
9 103
 
8.8%
3 100
 
8.5%
2 93
 
7.9%
8 57
 
4.9%
7 49
 
4.2%
5 45
 
3.8%
6 38
 
3.2%

사업장명
Text

Distinct264
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-05-11T15:33:28.740212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length23
Mean length8.8164794
Min length2

Characters and Unicode

Total characters2354
Distinct characters329
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique261 ?
Unique (%)97.8%

Sample

1st row서부헬스클럽
2nd row스타헬스클럽
3rd row이열헬스클럽
4th row피트니스 온
5th row도화헬스클럽
ValueCountFrequency (%)
gym 16
 
3.9%
휘트니스 9
 
2.2%
fit 5
 
1.2%
크로스핏 5
 
1.2%
체력단련장 3
 
0.7%
짐 3
 
0.7%
스포애니 3
 
0.7%
fitness 3
 
0.7%
주)케이디헬스케어 3
 
0.7%
에이블짐 3
 
0.7%
Other values (325) 354
87.0%
2024-05-11T15:33:29.364228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 158
 
6.7%
140
 
5.9%
짐 74
 
3.1%
트 65
 
2.8%
니 55
 
2.3%
) 49
 
2.1%
( 49
 
2.1%
이 48
 
2.0%
점 41
 
1.7%
T 40
 
1.7%
Other values (319) 1635
69.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1513
64.3%
Uppercase Letter 358
 
15.2%
Lowercase Letter 200
 
8.5%
Space Separator 140
 
5.9%
Close Punctuation 49
 
2.1%
Open Punctuation 49
 
2.1%
Decimal Number 36
 
1.5%
Other Punctuation 6
 
0.3%
Dash Punctuation 2
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 158
 
10.4%
짐 74
 
4.9%
트 65
 
4.3%
니 55
 
3.6%
이 48
 
3.2%
점 41
 
2.7%
헬 39
 
2.6%
휘 34
 
2.2%
피 33
 
2.2%
럽 29
 
1.9%
Other values (253) 937
61.9%
Uppercase Letter
ValueCountFrequency (%)
T 40
11.2%
M 37
 
10.3%
G 28
 
7.8%
Y 26
 
7.3%
S 23
 
6.4%
F 23
 
6.4%
E 23
 
6.4%
P 22
 
6.1%
I 21
 
5.9%
B 17
 
4.7%
Other values (15) 98
27.4%
Lowercase Letter
ValueCountFrequency (%)
e 25
12.5%
o 20
 
10.0%
t 17
 
8.5%
i 16
 
8.0%
n 15
 
7.5%
r 14
 
7.0%
a 12
 
6.0%
m 11
 
5.5%
s 10
 
5.0%
l 9
 
4.5%
Other values (14) 51
25.5%
Decimal Number
ValueCountFrequency (%)
2 7
19.4%
4 7
19.4%
5 5
13.9%
3 4
11.1%
1 4
11.1%
0 2
 
5.6%
6 2
 
5.6%
8 2
 
5.6%
9 2
 
5.6%
7 1
 
2.8%
Other Punctuation
ValueCountFrequency (%)
. 5
83.3%
: 1
 
16.7%
Space Separator
ValueCountFrequency (%)
140
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
° 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1513
64.3%
Latin 558
 
23.7%
Common 283
 
12.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 158
 
10.4%
짐 74
 
4.9%
트 65
 
4.3%
니 55
 
3.6%
이 48
 
3.2%
점 41
 
2.7%
헬 39
 
2.6%
휘 34
 
2.2%
피 33
 
2.2%
럽 29
 
1.9%
Other values (253) 937
61.9%
Latin
ValueCountFrequency (%)
T 40
 
7.2%
M 37
 
6.6%
G 28
 
5.0%
Y 26
 
4.7%
e 25
 
4.5%
S 23
 
4.1%
F 23
 
4.1%
E 23
 
4.1%
P 22
 
3.9%
I 21
 
3.8%
Other values (39) 290
52.0%
Common
ValueCountFrequency (%)
140
49.5%
) 49
 
17.3%
( 49
 
17.3%
2 7
 
2.5%
4 7
 
2.5%
. 5
 
1.8%
5 5
 
1.8%
3 4
 
1.4%
1 4
 
1.4%
- 2
 
0.7%
Other values (7) 11
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1513
64.3%
ASCII 840
35.7%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 158
 
10.4%
짐 74
 
4.9%
트 65
 
4.3%
니 55
 
3.6%
이 48
 
3.2%
점 41
 
2.7%
헬 39
 
2.6%
휘 34
 
2.2%
피 33
 
2.2%
럽 29
 
1.9%
Other values (253) 937
61.9%
ASCII
ValueCountFrequency (%)
140
 
16.7%
) 49
 
5.8%
( 49
 
5.8%
T 40
 
4.8%
M 37
 
4.4%
G 28
 
3.3%
Y 26
 
3.1%
e 25
 
3.0%
S 23
 
2.7%
F 23
 
2.7%
Other values (55) 400
47.6%
None
ValueCountFrequency (%)
° 1
100.0%

최종수정일자
Date

Distinct262
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2003-04-18 14:56:03
Maximum2024-04-26 16:41:59
2024-05-11T15:33:29.581663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:33:30.120210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
I
153 
U
114 

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 153
57.3%
U 114
42.7%

Length

2024-05-11T15:33:30.357485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:33:30.518705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 153
57.3%
u 114
42.7%

데이터갱신일자
Date

Distinct163
Distinct (%)61.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-05-11T15:33:30.671854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:33:30.877414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing267
Missing (%)100.0%
Memory size2.5 KiB

좌표정보(X)
Real number (ℝ)

Distinct235
Distinct (%)88.3%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean193296.57
Minimum189315.37
Maximum196583.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-05-11T15:33:31.075141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189315.37
5-th percentile190295.94
Q1192062.93
median192934.64
Q3194988.08
95-th percentile196002.15
Maximum196583.87
Range7268.4975
Interquartile range (IQR)2925.1474

Descriptive statistics

Standard deviation1742.9182
Coefficient of variation (CV)0.0090168084
Kurtosis-0.94868567
Mean193296.57
Median Absolute Deviation (MAD)1323.1164
Skewness0.055818354
Sum51416889
Variance3037763.7
MonotonicityNot monotonic
2024-05-11T15:33:31.310369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
195322.033365468 3
 
1.1%
190250.875091908 3
 
1.1%
191061.402140532 3
 
1.1%
194878.789499404 2
 
0.7%
191823.76210393 2
 
0.7%
192824.6752691 2
 
0.7%
191820.118698433 2
 
0.7%
192488.985144597 2
 
0.7%
195900.709427813 2
 
0.7%
192811.913260129 2
 
0.7%
Other values (225) 243
91.0%
ValueCountFrequency (%)
189315.370584751 1
 
0.4%
189857.566447564 1
 
0.4%
189965.528022741 1
 
0.4%
189988.285119266 1
 
0.4%
190070.994854984 1
 
0.4%
190086.625449279 2
0.7%
190217.044298752 2
0.7%
190250.875091908 3
1.1%
190256.997348579 1
 
0.4%
190282.759163473 1
 
0.4%
ValueCountFrequency (%)
196583.868057127 1
0.4%
196468.456780034 1
0.4%
196452.878522319 1
0.4%
196426.275926225 1
0.4%
196361.262742886 2
0.7%
196200.0 1
0.4%
196135.577338679 1
0.4%
196087.923812924 1
0.4%
196061.959877217 1
0.4%
196060.86326222 1
0.4%

좌표정보(Y)
Real number (ℝ)

Distinct235
Distinct (%)88.3%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean450276.42
Minimum448236.66
Maximum453647.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-05-11T15:33:31.585415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448236.66
5-th percentile448755.39
Q1449507.11
median450196.05
Q3450618.74
95-th percentile452920
Maximum453647.35
Range5410.6938
Interquartile range (IQR)1111.6281

Descriptive statistics

Standard deviation1131.3342
Coefficient of variation (CV)0.0025125325
Kurtosis0.92132426
Mean450276.42
Median Absolute Deviation (MAD)555.91066
Skewness1.0228114
Sum1.1977353 × 108
Variance1279917
MonotonicityNot monotonic
2024-05-11T15:33:31.785689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448969.110547126 3
 
1.1%
453017.867202928 3
 
1.1%
450429.024327899 3
 
1.1%
449445.264338074 2
 
0.7%
450380.787174401 2
 
0.7%
451090.182438148 2
 
0.7%
450589.968889031 2
 
0.7%
449787.214169203 2
 
0.7%
449728.629171661 2
 
0.7%
450565.429954424 2
 
0.7%
Other values (225) 243
91.0%
ValueCountFrequency (%)
448236.655548283 2
0.7%
448393.658663222 1
0.4%
448476.859046692 1
0.4%
448575.779442887 1
0.4%
448611.613977211 1
0.4%
448616.306480029 1
0.4%
448644.311298762 1
0.4%
448652.176751796 1
0.4%
448714.647114966 1
0.4%
448716.823596557 1
0.4%
ValueCountFrequency (%)
453647.349314742 1
 
0.4%
453407.061357665 1
 
0.4%
453271.198852486 1
 
0.4%
453238.148137922 1
 
0.4%
453231.427685063 2
0.7%
453213.198487908 1
 
0.4%
453176.817119902 1
 
0.4%
453112.077787463 1
 
0.4%
453050.376274362 1
 
0.4%
453017.867202928 3
1.1%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
체력단련장업
159 
<NA>
108 

Length

Max length6
Median length6
Mean length5.1910112
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체력단련장업 159
59.6%
<NA> 108
40.4%

Length

2024-05-11T15:33:31.942701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:33:32.089434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체력단련장업 159
59.6%
na 108
40.4%

공사립구분명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
사립
159 
<NA>
108 

Length

Max length4
Median length2
Mean length2.8089888
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 159
59.6%
<NA> 108
40.4%

Length

2024-05-11T15:33:32.312209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:33:32.457295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 159
59.6%
na 108
40.4%

보험가입여부코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
249 
0
 
17
Y
 
1

Length

Max length4
Median length4
Mean length3.7977528
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 249
93.3%
0 17
 
6.4%
Y 1
 
0.4%

Length

2024-05-11T15:33:32.612394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:33:32.762571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 249
93.3%
0 17
 
6.4%
y 1
 
0.4%

지도자수
Categorical

Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
181 
1
62 
2
 
13
0
 
10
5
 
1

Length

Max length4
Median length4
Mean length3.0337079
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 181
67.8%
1 62
 
23.2%
2 13
 
4.9%
0 10
 
3.7%
5 1
 
0.4%

Length

2024-05-11T15:33:32.927774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:33:33.095799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 181
67.8%
1 62
 
23.2%
2 13
 
4.9%
0 10
 
3.7%
5 1
 
0.4%

건축물동수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
227 
0
37 
1
 
3

Length

Max length4
Median length4
Mean length3.5505618
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 227
85.0%
0 37
 
13.9%
1 3
 
1.1%

Length

2024-05-11T15:33:33.285523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:33:33.444147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 227
85.0%
0 37
 
13.9%
1 3
 
1.1%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)33.3%
Missing216
Missing (%)80.9%
Infinite0
Infinite (%)0.0%
Mean872.52235
Minimum0
Maximum18093.51
Zeros35
Zeros (%)13.1%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-05-11T15:33:33.592913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3555.24
95-th percentile3162.99
Maximum18093.51
Range18093.51
Interquartile range (IQR)555.24

Descriptive statistics

Standard deviation2691.1018
Coefficient of variation (CV)3.0842783
Kurtosis34.845503
Mean872.52235
Median Absolute Deviation (MAD)0
Skewness5.5646797
Sum44498.64
Variance7242028.7
MonotonicityNot monotonic
2024-05-11T15:33:33.762672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 35
 
13.1%
5378.4 1
 
0.4%
2269.3 1
 
0.4%
2826.99 1
 
0.4%
954.54 1
 
0.4%
555.11 1
 
0.4%
898.8 1
 
0.4%
973.93 1
 
0.4%
18093.51 1
 
0.4%
2092.88 1
 
0.4%
Other values (7) 7
 
2.6%
(Missing) 216
80.9%
ValueCountFrequency (%)
0.0 35
13.1%
263.34 1
 
0.4%
472.5 1
 
0.4%
555.11 1
 
0.4%
555.37 1
 
0.4%
898.8 1
 
0.4%
954.54 1
 
0.4%
973.93 1
 
0.4%
1266.96 1
 
0.4%
2092.88 1
 
0.4%
ValueCountFrequency (%)
18093.51 1
0.4%
5378.4 1
0.4%
3498.99 1
0.4%
2826.99 1
0.4%
2269.3 1
0.4%
2259.57 1
0.4%
2138.45 1
0.4%
2092.88 1
0.4%
1266.96 1
0.4%
973.93 1
0.4%

회원모집총인원
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
249 
0
 
17
50
 
1

Length

Max length4
Median length4
Mean length3.8014981
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 249
93.3%
0 17
 
6.4%
50 1
 
0.4%

Length

2024-05-11T15:33:33.939553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:33:34.091658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 249
93.3%
0 17
 
6.4%
50 1
 
0.4%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing267
Missing (%)100.0%
Memory size2.5 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing267
Missing (%)100.0%
Memory size2.5 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03130000CDFH330106198900000219891226<NA>3폐업3폐업20080328<NA><NA><NA><NA><NA>121827서울특별시 마포구 망원동 424-18번지서울특별시 마포구 월드컵로25길 58 (망원동)<NA>서부헬스클럽2008-08-18 11:53:41I2018-08-31 23:59:59.0<NA>191481.633861450632.871097체력단련장업사립0<NA><NA><NA><NA><NA><NA>
13130000CDFH330106198900000319891226<NA>3폐업3폐업20050112<NA><NA><NA><NA><NA>121858서울특별시 마포구 아현동 85-666번지서울특별시 마포구 마포대로 264 (아현동)<NA>스타헬스클럽2005-01-12 11:13:27I2018-08-31 23:59:59.0<NA>196361.262743450514.421712체력단련장업사립0<NA><NA><NA><NA><NA><NA>
23130000CDFH330106198900000519891226<NA>3폐업3폐업20000331<NA><NA><NA>712-7294<NA>121874서울특별시 마포구 염리동 173-21번지서울특별시 마포구 토정로37길 47 (염리동)<NA>이열헬스클럽2003-04-18 14:56:03I2018-08-31 23:59:59.0<NA>195246.686475448965.626589체력단련장업사립<NA>000.0<NA><NA><NA>
33130000CDFH33010619890000081989-12-29<NA>1영업/정상13영업중<NA><NA><NA><NA>02-716-0525<NA>121-876서울특별시 마포구 용강동 122-16서울특별시 마포구 토정로32길 4 (용강동)121-876피트니스 온2023-02-15 09:41:11U2022-12-01 23:07:00.0<NA>194742.383948448757.883381<NA><NA><NA><NA><NA><NA><NA><NA><NA>
43130000CDFH330106198900000919891229<NA>3폐업3폐업20060823<NA><NA><NA>712-9685<NA>121813서울특별시 마포구 도화동 250-1번지서울특별시 마포구 도화길 10 (도화동)<NA>도화헬스클럽2006-08-23 11:36:47I2018-08-31 23:59:59.0<NA>195277.544591448616.30648체력단련장업사립0<NA><NA><NA><NA><NA><NA>
53130000CDFH330106199200000119920224<NA>3폐업3폐업20090203<NA><NA><NA>704-2978<NA>121090서울특별시 마포구 염리동 154-8번지 ,10서울특별시 마포구 백범로 127 (염리동,,10)<NA>태양헬스클럽2009-03-06 13:56:09I2018-08-31 23:59:59.0<NA>195116.028951449367.593942체력단련장업사립<NA><NA>00.0<NA><NA><NA>
63130000CDFH330106199200000219920612<NA>3폐업3폐업20080902<NA><NA><NA>713-6913<NA>121805서울특별시 마포구 공덕동 404-0번지 풍림브이아이피텔지하1층서울특별시 마포구 마포대로 127 (공덕동,풍림브이아이피텔지하1층)<NA>풍림브이아이피2008-09-02 17:57:16I2018-08-31 23:59:59.0<NA>195703.425297449330.800718체력단련장업사립0<NA><NA><NA><NA><NA><NA>
73130000CDFH330106199200000319920725<NA>3폐업3폐업20021014<NA><NA><NA>326-0510<NA>121826서울특별시 마포구 망원동 474-3번지 2층서울특별시 마포구 월드컵로 155 (망원동,2층)<NA>성미헬스2003-04-18 14:56:03I2018-08-31 23:59:59.0<NA>191528.664364451015.116442체력단련장업사립<NA>000.0<NA><NA><NA>
83130000CDFH330106199300000119930303<NA>3폐업3폐업20040323<NA><NA><NA>714-0626<NA>121854서울특별시 마포구 신수동 63-8번지서울특별시 마포구 백범로 29 (신수동)<NA>미지헬스2011-06-03 13:49:33I2018-08-31 23:59:59.0<NA>194426.871005449986.055913체력단련장업사립<NA><NA>00.0<NA><NA><NA>
93130000CDFH330106199300000219931213<NA>3폐업3폐업20141002<NA><NA><NA>02-717-9441<NA>121812서울특별시 마포구 도화동 169-1번지서울특별시 마포구 마포대로 58 (도화동)121812(주)서을가든체련장2014-10-02 15:23:37I2018-08-31 23:59:59.0<NA>195366.504486448716.823597체력단련장업사립<NA>200.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
2573130000CDFH33010620240000022024-02-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 신수동 91-567 원인터빌딩서울특별시 마포구 광성로 36, 3층 (신수동)04096운동케어센터2024-02-19 10:38:32U2023-12-01 22:01:00.0<NA>194356.467432449715.613596<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2583130000CDFH33010620240000032024-02-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 노고산동 56-74서울특별시 마포구 서강로 121, 비103,비104,비105,비106비107호 (노고산동, 맹그로브 신촌)04057F45신촌(사운드엑스)2024-02-23 09:02:24I2023-12-01 22:05:00.0<NA>194093.05894450190.549493<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2593130000CDFH33010620240000042024-02-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 망원동 418-1서울특별시 마포구 망원로 24, 2층 (망원동)04007어라운드짐2024-02-23 09:07:35I2023-12-01 22:05:00.0<NA>191061.402141450429.024328<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2603130000CDFH33010620240000052024-02-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-711-9609<NA><NA>서울특별시 마포구 도화동 4-112서울특별시 마포구 새창로 30, 3층 (도화동)04169밸런스랩 근골격 운동센터2024-02-23 13:55:23I2023-12-01 22:05:00.0<NA>195785.428664448819.704787<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2613130000CDFH33010620240000062024-02-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 망원동 517 마포영화블렌하임서울특별시 마포구 월드컵로25길 26, 101동 2-001호 (망원동, 마포영화블렌하임)03964바디앤짐 망원점2024-02-27 09:52:33I2023-12-01 22:09:00.0<NA>191651.529316450694.803472<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2623130000CDFH33010620240000072024-03-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 성산동 593-6서울특별시 마포구 모래내로1길 8, B201호 (성산동)03938크로스핏 파밀리아2024-03-01 10:05:34I2023-12-03 00:03:00.0<NA>191463.015307451388.141257<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2633130000CDFH33010620240000082024-03-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 망원동 375-8 두드림빌딩서울특별시 마포구 월드컵로13길 34, 두드림빌딩 5층 (망원동)04012(주)뉴홉2024-03-11 11:04:30I2023-12-02 23:03:00.0<NA>191823.762104450380.787174<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2643130000CDFH33010620240000092024-04-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 망원동 378-3서울특별시 마포구 월드컵로 73, 지하1층 (망원동)04013어라운드짐 망원역점2024-04-04 17:25:31I2023-12-04 00:06:00.0<NA>192005.642566450350.4873<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2653130000CDFH33010620240000102024-04-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 합정동 412-2서울특별시 마포구 양화로6길 60, 3층 (합정동)04047LIFE TIME PT (라이프타임피티)2024-04-16 08:02:43I2023-12-03 23:08:00.0<NA>192630.073046449591.837307<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2663130000CDFH33010620240000112024-04-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 성산동 228-1서울특별시 마포구 성미산로 78, 4층 (성산동)03986Color Yellow X PlayGround2024-04-16 17:15:19I2023-12-03 23:08:00.0<NA>192567.210922450896.344372<NA><NA><NA><NA><NA><NA><NA><NA><NA>