Overview

Dataset statistics

Number of variables34
Number of observations281
Missing cells3041
Missing cells (%)31.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory80.0 KiB
Average record size in memory291.5 B

Variable types

Categorical12
Text6
DateTime4
Unsupported8
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
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-19870/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
건축물동수 is highly imbalanced (70.5%)Imbalance
회원모집총인원 is highly imbalanced (81.8%)Imbalance
인허가취소일자 has 281 (100.0%) missing valuesMissing
폐업일자 has 164 (58.4%) missing valuesMissing
휴업시작일자 has 281 (100.0%) missing valuesMissing
휴업종료일자 has 281 (100.0%) missing valuesMissing
재개업일자 has 281 (100.0%) missing valuesMissing
전화번호 has 123 (43.8%) missing valuesMissing
소재지면적 has 281 (100.0%) missing valuesMissing
소재지우편번호 has 180 (64.1%) missing valuesMissing
지번주소 has 5 (1.8%) missing valuesMissing
도로명주소 has 14 (5.0%) missing valuesMissing
도로명우편번호 has 65 (23.1%) missing valuesMissing
업태구분명 has 281 (100.0%) missing valuesMissing
좌표정보(X) has 9 (3.2%) missing valuesMissing
좌표정보(Y) has 9 (3.2%) missing valuesMissing
건축물연면적 has 224 (79.7%) missing valuesMissing
세부업종명 has 281 (100.0%) missing valuesMissing
법인명 has 281 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
세부업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
법인명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축물연면적 has 19 (6.8%) zerosZeros

Reproduction

Analysis started2024-05-11 06:59:15.446997
Analysis finished2024-05-11 06:59:16.591790
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
3180000
281 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3180000
2nd row3180000
3rd row3180000
4th row3180000
5th row3180000

Common Values

ValueCountFrequency (%)
3180000 281
100.0%

Length

2024-05-11T15:59:16.718377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:16.864659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3180000 281
100.0%

관리번호
Text

UNIQUE 

Distinct281
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-05-11T15:59:17.134374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters5620
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

Unique281 ?
Unique (%)100.0%

Sample

1st rowCDFH3301061989000001
2nd rowCDFH3301061989000002
3rd rowCDFH3301061989000003
4th rowCDFH3301061989000004
5th rowCDFH3301061989000005
ValueCountFrequency (%)
cdfh3301061989000001 1
 
0.4%
cdfh3301062019000007 1
 
0.4%
cdfh3301062019000013 1
 
0.4%
cdfh3301062019000012 1
 
0.4%
cdfh3301062019000011 1
 
0.4%
cdfh3301062019000010 1
 
0.4%
cdfh3301062019000009 1
 
0.4%
cdfh3301062020000005 1
 
0.4%
cdfh3301062019000006 1
 
0.4%
cdfh3301062020000001 1
 
0.4%
Other values (271) 271
96.4%
2024-05-11T15:59:17.714946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2242
39.9%
3 642
 
11.4%
1 530
 
9.4%
2 433
 
7.7%
6 324
 
5.8%
C 281
 
5.0%
D 281
 
5.0%
F 281
 
5.0%
H 281
 
5.0%
9 125
 
2.2%
Other values (4) 200
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4496
80.0%
Uppercase Letter 1124
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2242
49.9%
3 642
 
14.3%
1 530
 
11.8%
2 433
 
9.6%
6 324
 
7.2%
9 125
 
2.8%
4 61
 
1.4%
5 60
 
1.3%
8 46
 
1.0%
7 33
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
C 281
25.0%
D 281
25.0%
F 281
25.0%
H 281
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4496
80.0%
Latin 1124
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2242
49.9%
3 642
 
14.3%
1 530
 
11.8%
2 433
 
9.6%
6 324
 
7.2%
9 125
 
2.8%
4 61
 
1.4%
5 60
 
1.3%
8 46
 
1.0%
7 33
 
0.7%
Latin
ValueCountFrequency (%)
C 281
25.0%
D 281
25.0%
F 281
25.0%
H 281
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5620
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2242
39.9%
3 642
 
11.4%
1 530
 
9.4%
2 433
 
7.7%
6 324
 
5.8%
C 281
 
5.0%
D 281
 
5.0%
F 281
 
5.0%
H 281
 
5.0%
9 125
 
2.2%
Other values (4) 200
 
3.6%

인허가일자
Date

Distinct259
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum1989-11-06 00:00:00
Maximum2024-04-23 00:00:00
2024-05-11T15:59:18.088580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:18.353393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing281
Missing (%)100.0%
Memory size2.6 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
1
164 
3
114 
4
 
2
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
1 164
58.4%
3 114
40.6%
4 2
 
0.7%
5 1
 
0.4%

Length

2024-05-11T15:59:18.575609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:18.785875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 164
58.4%
3 114
40.6%
4 2
 
0.7%
5 1
 
0.4%

영업상태명
Categorical

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
영업/정상
164 
폐업
114 
취소/말소/만료/정지/중지
 
2
제외/삭제/전출
 
1

Length

Max length14
Median length5
Mean length3.8576512
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 164
58.4%
폐업 114
40.6%
취소/말소/만료/정지/중지 2
 
0.7%
제외/삭제/전출 1
 
0.4%

Length

2024-05-11T15:59:18.998972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:19.165571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 164
58.4%
폐업 114
40.6%
취소/말소/만료/정지/중지 2
 
0.7%
제외/삭제/전출 1
 
0.4%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
13
164 
3
114 
35
 
2
15
 
1

Length

Max length2
Median length2
Mean length1.594306
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
13 164
58.4%
3 114
40.6%
35 2
 
0.7%
15 1
 
0.4%

Length

2024-05-11T15:59:19.361590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:19.561177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 164
58.4%
3 114
40.6%
35 2
 
0.7%
15 1
 
0.4%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
영업중
164 
폐업
114 
직권말소
 
2
전출
 
1

Length

Max length4
Median length3
Mean length2.5978648
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 164
58.4%
폐업 114
40.6%
직권말소 2
 
0.7%
전출 1
 
0.4%

Length

2024-05-11T15:59:19.844307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:20.064963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 164
58.4%
폐업 114
40.6%
직권말소 2
 
0.7%
전출 1
 
0.4%

폐업일자
Date

MISSING 

Distinct83
Distinct (%)70.9%
Missing164
Missing (%)58.4%
Memory size2.3 KiB
Minimum1996-05-29 00:00:00
Maximum2024-04-04 00:00:00
2024-05-11T15:59:20.268189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:20.487221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing281
Missing (%)100.0%
Memory size2.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing281
Missing (%)100.0%
Memory size2.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing281
Missing (%)100.0%
Memory size2.6 KiB

전화번호
Text

MISSING 

Distinct154
Distinct (%)97.5%
Missing123
Missing (%)43.8%
Memory size2.3 KiB
2024-05-11T15:59:20.870203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length9.5506329
Min length8

Characters and Unicode

Total characters1509
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

Unique150 ?
Unique (%)94.9%

Sample

1st row678-4204
2nd row2635-1494
3rd row841-5011
4th row678-9391
5th row849-8886
ValueCountFrequency (%)
678-9391 2
 
1.3%
02-3667-5669 2
 
1.3%
2068-3035 2
 
1.3%
784-2710 2
 
1.3%
02-2671-1133 1
 
0.6%
02-891-8411 1
 
0.6%
678-4204 1
 
0.6%
0226797070 1
 
0.6%
02-2631-9109 1
 
0.6%
02-786-0303 1
 
0.6%
Other values (144) 144
91.1%
2024-05-11T15:59:21.511360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 203
13.5%
2 188
12.5%
0 181
12.0%
6 158
10.5%
8 154
10.2%
3 147
9.7%
7 137
9.1%
1 112
7.4%
4 81
 
5.4%
5 75
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1306
86.5%
Dash Punctuation 203
 
13.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 188
14.4%
0 181
13.9%
6 158
12.1%
8 154
11.8%
3 147
11.3%
7 137
10.5%
1 112
8.6%
4 81
6.2%
5 75
 
5.7%
9 73
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 203
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1509
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 203
13.5%
2 188
12.5%
0 181
12.0%
6 158
10.5%
8 154
10.2%
3 147
9.7%
7 137
9.1%
1 112
7.4%
4 81
 
5.4%
5 75
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1509
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 203
13.5%
2 188
12.5%
0 181
12.0%
6 158
10.5%
8 154
10.2%
3 147
9.7%
7 137
9.1%
1 112
7.4%
4 81
 
5.4%
5 75
 
5.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing281
Missing (%)100.0%
Memory size2.6 KiB

소재지우편번호
Text

MISSING 

Distinct64
Distinct (%)63.4%
Missing180
Missing (%)64.1%
Memory size2.3 KiB
2024-05-11T15:59:21.945804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.049505
Min length6

Characters and Unicode

Total characters611
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

Unique40 ?
Unique (%)39.6%

Sample

1st row150863
2nd row150033
3rd row150850
4th row150851
5th row150040
ValueCountFrequency (%)
150033 8
 
7.9%
150045 5
 
5.0%
150863 5
 
5.0%
150889 3
 
3.0%
150855 2
 
2.0%
150870 2
 
2.0%
150818 2
 
2.0%
150836 2
 
2.0%
150809 2
 
2.0%
150050 2
 
2.0%
Other values (54) 68
67.3%
2024-05-11T15:59:22.663925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 155
25.4%
5 128
20.9%
1 115
18.8%
8 73
11.9%
3 42
 
6.9%
4 26
 
4.3%
9 22
 
3.6%
7 17
 
2.8%
6 16
 
2.6%
2 12
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 606
99.2%
Dash Punctuation 5
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 155
25.6%
5 128
21.1%
1 115
19.0%
8 73
12.0%
3 42
 
6.9%
4 26
 
4.3%
9 22
 
3.6%
7 17
 
2.8%
6 16
 
2.6%
2 12
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 611
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 155
25.4%
5 128
20.9%
1 115
18.8%
8 73
11.9%
3 42
 
6.9%
4 26
 
4.3%
9 22
 
3.6%
7 17
 
2.8%
6 16
 
2.6%
2 12
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 611
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 155
25.4%
5 128
20.9%
1 115
18.8%
8 73
11.9%
3 42
 
6.9%
4 26
 
4.3%
9 22
 
3.6%
7 17
 
2.8%
6 16
 
2.6%
2 12
 
2.0%

지번주소
Text

MISSING 

Distinct266
Distinct (%)96.4%
Missing5
Missing (%)1.8%
Memory size2.3 KiB
2024-05-11T15:59:23.076874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length26.402174
Min length18

Characters and Unicode

Total characters7287
Distinct characters204
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

Unique256 ?
Unique (%)92.8%

Sample

1st row서울특별시 영등포구 양평동1가 132-1번지
2nd row서울특별시 영등포구 당산동6가 227
3rd row서울특별시 영등포구 영등포동3가 24-23번지
4th row서울특별시 영등포구 신길동 395-1번지
5th row서울특별시 영등포구 영등포동6가 4-2번지
ValueCountFrequency (%)
서울특별시 276
20.6%
영등포구 276
20.6%
신길동 54
 
4.0%
여의도동 50
 
3.7%
대림동 21
 
1.6%
지하1층 18
 
1.3%
문래동3가 16
 
1.2%
양평동4가 12
 
0.9%
당산동3가 10
 
0.7%
당산동5가 10
 
0.7%
Other values (438) 598
44.6%
2024-05-11T15:59:23.700492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1213
 
16.6%
포 333
 
4.6%
영 331
 
4.5%
등 329
 
4.5%
동 290
 
4.0%
시 282
 
3.9%
서 278
 
3.8%
울 277
 
3.8%
구 276
 
3.8%
별 276
 
3.8%
Other values (194) 3402
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4564
62.6%
Decimal Number 1247
 
17.1%
Space Separator 1213
 
16.6%
Dash Punctuation 199
 
2.7%
Uppercase Letter 33
 
0.5%
Lowercase Letter 12
 
0.2%
Other Punctuation 6
 
0.1%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
포 333
 
7.3%
영 331
 
7.3%
등 329
 
7.2%
동 290
 
6.4%
시 282
 
6.2%
서 278
 
6.1%
울 277
 
6.1%
구 276
 
6.0%
별 276
 
6.0%
특 276
 
6.0%
Other values (159) 1616
35.4%
Uppercase Letter
ValueCountFrequency (%)
B 9
27.3%
S 5
15.2%
K 4
12.1%
E 2
 
6.1%
V 2
 
6.1%
J 2
 
6.1%
Y 2
 
6.1%
H 1
 
3.0%
A 1
 
3.0%
L 1
 
3.0%
Other values (4) 4
12.1%
Decimal Number
ValueCountFrequency (%)
1 229
18.4%
3 203
16.3%
2 167
13.4%
4 156
12.5%
5 109
8.7%
6 105
8.4%
0 88
 
7.1%
7 74
 
5.9%
8 71
 
5.7%
9 45
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
e 4
33.3%
c 2
16.7%
n 2
16.7%
r 2
16.7%
t 2
16.7%
Space Separator
ValueCountFrequency (%)
1213
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 199
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4564
62.6%
Common 2678
36.8%
Latin 45
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
포 333
 
7.3%
영 331
 
7.3%
등 329
 
7.2%
동 290
 
6.4%
시 282
 
6.2%
서 278
 
6.1%
울 277
 
6.1%
구 276
 
6.0%
별 276
 
6.0%
특 276
 
6.0%
Other values (159) 1616
35.4%
Latin
ValueCountFrequency (%)
B 9
20.0%
S 5
11.1%
e 4
 
8.9%
K 4
 
8.9%
c 2
 
4.4%
n 2
 
4.4%
E 2
 
4.4%
r 2
 
4.4%
V 2
 
4.4%
t 2
 
4.4%
Other values (9) 11
24.4%
Common
ValueCountFrequency (%)
1213
45.3%
1 229
 
8.6%
3 203
 
7.6%
- 199
 
7.4%
2 167
 
6.2%
4 156
 
5.8%
5 109
 
4.1%
6 105
 
3.9%
0 88
 
3.3%
7 74
 
2.8%
Other values (6) 135
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4564
62.6%
ASCII 2723
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1213
44.5%
1 229
 
8.4%
3 203
 
7.5%
- 199
 
7.3%
2 167
 
6.1%
4 156
 
5.7%
5 109
 
4.0%
6 105
 
3.9%
0 88
 
3.2%
7 74
 
2.7%
Other values (25) 180
 
6.6%
Hangul
ValueCountFrequency (%)
포 333
 
7.3%
영 331
 
7.3%
등 329
 
7.2%
동 290
 
6.4%
시 282
 
6.2%
서 278
 
6.1%
울 277
 
6.1%
구 276
 
6.0%
별 276
 
6.0%
특 276
 
6.0%
Other values (159) 1616
35.4%

도로명주소
Text

MISSING 

Distinct259
Distinct (%)97.0%
Missing14
Missing (%)5.0%
Memory size2.3 KiB
2024-05-11T15:59:24.091048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length46
Mean length34.071161
Min length23

Characters and Unicode

Total characters9097
Distinct characters219
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

Unique251 ?
Unique (%)94.0%

Sample

1st row서울특별시 영등포구 양평로 36 (당산동6가, 삼원빌딩)
2nd row서울특별시 영등포구 도림로 294 (신길동)
3rd row서울특별시 영등포구 영등포로35길 6 (영등포동6가, 덕성빌딩)
4th row서울특별시 영등포구 도림로 220 (신길동)
5th row서울특별시 영등포구 영등포로43길 3-2 (영등포동5가)
ValueCountFrequency (%)
서울특별시 267
 
16.0%
영등포구 267
 
16.0%
신길동 50
 
3.0%
여의도동 43
 
2.6%
2층 28
 
1.7%
지하1층 27
 
1.6%
3층 22
 
1.3%
영등포로 17
 
1.0%
대림동 16
 
1.0%
문래동3가 15
 
0.9%
Other values (485) 921
55.1%
2024-05-11T15:59:24.813820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1447
 
15.9%
영 377
 
4.1%
포 349
 
3.8%
등 346
 
3.8%
동 292
 
3.2%
시 274
 
3.0%
서 272
 
3.0%
( 272
 
3.0%
) 272
 
3.0%
로 271
 
3.0%
Other values (209) 4925
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5553
61.0%
Space Separator 1447
 
15.9%
Decimal Number 1216
 
13.4%
Open Punctuation 272
 
3.0%
Close Punctuation 272
 
3.0%
Other Punctuation 256
 
2.8%
Uppercase Letter 40
 
0.4%
Dash Punctuation 18
 
0.2%
Lowercase Letter 18
 
0.2%
Math Symbol 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 377
 
6.8%
포 349
 
6.3%
등 346
 
6.2%
동 292
 
5.3%
시 274
 
4.9%
서 272
 
4.9%
로 271
 
4.9%
울 269
 
4.8%
구 267
 
4.8%
별 267
 
4.8%
Other values (175) 2569
46.3%
Uppercase Letter
ValueCountFrequency (%)
B 9
22.5%
S 6
15.0%
K 5
12.5%
Y 4
10.0%
V 3
 
7.5%
H 3
 
7.5%
E 3
 
7.5%
J 2
 
5.0%
A 1
 
2.5%
L 1
 
2.5%
Other values (3) 3
 
7.5%
Decimal Number
ValueCountFrequency (%)
1 228
18.8%
2 202
16.6%
3 187
15.4%
4 115
9.5%
6 103
8.5%
5 97
8.0%
0 88
 
7.2%
8 74
 
6.1%
7 68
 
5.6%
9 54
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
e 6
33.3%
r 3
16.7%
c 3
16.7%
t 3
16.7%
n 3
16.7%
Space Separator
ValueCountFrequency (%)
1447
100.0%
Open Punctuation
ValueCountFrequency (%)
( 272
100.0%
Close Punctuation
ValueCountFrequency (%)
) 272
100.0%
Other Punctuation
ValueCountFrequency (%)
, 256
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5553
61.0%
Common 3486
38.3%
Latin 58
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 377
 
6.8%
포 349
 
6.3%
등 346
 
6.2%
동 292
 
5.3%
시 274
 
4.9%
서 272
 
4.9%
로 271
 
4.9%
울 269
 
4.8%
구 267
 
4.8%
별 267
 
4.8%
Other values (175) 2569
46.3%
Latin
ValueCountFrequency (%)
B 9
15.5%
e 6
10.3%
S 6
10.3%
K 5
 
8.6%
Y 4
 
6.9%
V 3
 
5.2%
H 3
 
5.2%
E 3
 
5.2%
r 3
 
5.2%
c 3
 
5.2%
Other values (8) 13
22.4%
Common
ValueCountFrequency (%)
1447
41.5%
( 272
 
7.8%
) 272
 
7.8%
, 256
 
7.3%
1 228
 
6.5%
2 202
 
5.8%
3 187
 
5.4%
4 115
 
3.3%
6 103
 
3.0%
5 97
 
2.8%
Other values (6) 307
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5553
61.0%
ASCII 3544
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1447
40.8%
( 272
 
7.7%
) 272
 
7.7%
, 256
 
7.2%
1 228
 
6.4%
2 202
 
5.7%
3 187
 
5.3%
4 115
 
3.2%
6 103
 
2.9%
5 97
 
2.7%
Other values (24) 365
 
10.3%
Hangul
ValueCountFrequency (%)
영 377
 
6.8%
포 349
 
6.3%
등 346
 
6.2%
동 292
 
5.3%
시 274
 
4.9%
서 272
 
4.9%
로 271
 
4.9%
울 269
 
4.8%
구 267
 
4.8%
별 267
 
4.8%
Other values (175) 2569
46.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct111
Distinct (%)51.4%
Missing65
Missing (%)23.1%
Infinite0
Infinite (%)0.0%
Mean15251.426
Minimum7204
Maximum150867
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-11T15:59:25.028091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7204
5-th percentile7211
Q17245
median7317.5
Q37363
95-th percentile150030.75
Maximum150867
Range143663
Interquartile range (IQR)118

Descriptive statistics

Standard deviation32847.231
Coefficient of variation (CV)2.1537154
Kurtosis13.394986
Mean15251.426
Median Absolute Deviation (MAD)62.5
Skewness3.9077873
Sum3294308
Variance1.0789406 × 109
MonotonicityNot monotonic
2024-05-11T15:59:25.268789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7333 12
 
4.3%
7331 7
 
2.5%
150033 6
 
2.1%
7213 5
 
1.8%
7208 5
 
1.8%
7281 5
 
1.8%
7297 4
 
1.4%
7343 4
 
1.4%
7294 4
 
1.4%
7223 4
 
1.4%
Other values (101) 160
56.9%
(Missing) 65
23.1%
ValueCountFrequency (%)
7204 1
 
0.4%
7205 2
 
0.7%
7206 2
 
0.7%
7207 1
 
0.4%
7208 5
1.8%
7212 2
 
0.7%
7213 5
1.8%
7214 3
1.1%
7217 2
 
0.7%
7218 2
 
0.7%
ValueCountFrequency (%)
150867 1
 
0.4%
150863 1
 
0.4%
150836 1
 
0.4%
150829 1
 
0.4%
150809 1
 
0.4%
150033 6
2.1%
150030 1
 
0.4%
7440 1
 
0.4%
7438 1
 
0.4%
7437 2
 
0.7%

사업장명
Text

Distinct274
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-05-11T15:59:25.737165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length7.7330961
Min length2

Characters and Unicode

Total characters2173
Distinct characters322
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique267 ?
Unique (%)95.0%

Sample

1st row해룡헬스크럽
2nd row강남헬스
3rd row동보헬스
4th row도림신협남성체조교실
5th row양육체미
ValueCountFrequency (%)
휘트니스 14
 
3.3%
피트니스 8
 
1.9%
크로스핏 8
 
1.9%
커브스 5
 
1.2%
헬스보이짐 4
 
0.9%
신길점 4
 
0.9%
gym 4
 
0.9%
pt 4
 
0.9%
영등포 3
 
0.7%
짐 3
 
0.7%
Other values (335) 371
86.7%
2024-05-11T15:59:26.420064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 173
 
8.0%
147
 
6.8%
트 68
 
3.1%
헬 61
 
2.8%
니 54
 
2.5%
짐 49
 
2.3%
이 44
 
2.0%
휘 36
 
1.7%
클 35
 
1.6%
럽 32
 
1.5%
Other values (312) 1474
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1682
77.4%
Uppercase Letter 191
 
8.8%
Space Separator 147
 
6.8%
Lowercase Letter 72
 
3.3%
Close Punctuation 31
 
1.4%
Open Punctuation 31
 
1.4%
Other Punctuation 11
 
0.5%
Decimal Number 6
 
0.3%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 173
 
10.3%
트 68
 
4.0%
헬 61
 
3.6%
니 54
 
3.2%
짐 49
 
2.9%
이 44
 
2.6%
휘 36
 
2.1%
클 35
 
2.1%
럽 32
 
1.9%
피 29
 
1.7%
Other values (255) 1101
65.5%
Uppercase Letter
ValueCountFrequency (%)
T 24
12.6%
G 17
 
8.9%
I 14
 
7.3%
P 14
 
7.3%
F 14
 
7.3%
M 12
 
6.3%
S 11
 
5.8%
Y 10
 
5.2%
E 10
 
5.2%
L 8
 
4.2%
Other values (14) 57
29.8%
Lowercase Letter
ValueCountFrequency (%)
e 9
12.5%
n 8
11.1%
t 8
11.1%
o 6
 
8.3%
i 6
 
8.3%
s 6
 
8.3%
r 5
 
6.9%
a 4
 
5.6%
l 3
 
4.2%
m 2
 
2.8%
Other values (10) 15
20.8%
Other Punctuation
ValueCountFrequency (%)
& 4
36.4%
. 4
36.4%
, 1
 
9.1%
＆ 1
 
9.1%
? 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
1 1
 
16.7%
6 1
 
16.7%
3 1
 
16.7%
Space Separator
ValueCountFrequency (%)
147
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1682
77.4%
Latin 263
 
12.1%
Common 228
 
10.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 173
 
10.3%
트 68
 
4.0%
헬 61
 
3.6%
니 54
 
3.2%
짐 49
 
2.9%
이 44
 
2.6%
휘 36
 
2.1%
클 35
 
2.1%
럽 32
 
1.9%
피 29
 
1.7%
Other values (255) 1101
65.5%
Latin
ValueCountFrequency (%)
T 24
 
9.1%
G 17
 
6.5%
I 14
 
5.3%
P 14
 
5.3%
F 14
 
5.3%
M 12
 
4.6%
S 11
 
4.2%
Y 10
 
3.8%
E 10
 
3.8%
e 9
 
3.4%
Other values (34) 128
48.7%
Common
ValueCountFrequency (%)
147
64.5%
) 31
 
13.6%
( 31
 
13.6%
& 4
 
1.8%
. 4
 
1.8%
2 3
 
1.3%
- 2
 
0.9%
1 1
 
0.4%
6 1
 
0.4%
3 1
 
0.4%
Other values (3) 3
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1682
77.4%
ASCII 490
 
22.5%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 173
 
10.3%
트 68
 
4.0%
헬 61
 
3.6%
니 54
 
3.2%
짐 49
 
2.9%
이 44
 
2.6%
휘 36
 
2.1%
클 35
 
2.1%
럽 32
 
1.9%
피 29
 
1.7%
Other values (255) 1101
65.5%
ASCII
ValueCountFrequency (%)
147
30.0%
) 31
 
6.3%
( 31
 
6.3%
T 24
 
4.9%
G 17
 
3.5%
I 14
 
2.9%
P 14
 
2.9%
F 14
 
2.9%
M 12
 
2.4%
S 11
 
2.2%
Other values (46) 175
35.7%
None
ValueCountFrequency (%)
＆ 1
100.0%

최종수정일자
Date

Distinct277
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum2003-04-18 15:28:04
Maximum2024-04-23 12:58:56
2024-05-11T15:59:27.031139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:27.243892image/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 size2.3 KiB
I
176 
U
105 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 176
62.6%
U 105
37.4%

Length

2024-05-11T15:59:27.490199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:27.674433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 176
62.6%
u 105
37.4%

데이터갱신일자
Date

Distinct138
Distinct (%)49.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-05-11T15:59:27.856273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:28.134544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing281
Missing (%)100.0%
Memory size2.6 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct229
Distinct (%)84.2%
Missing9
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean191748.98
Minimum189734.54
Maximum194632.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-11T15:59:28.409642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189734.54
5-th percentile190121.31
Q1190864.24
median191489.2
Q3192702.31
95-th percentile193882.11
Maximum194632.53
Range4897.9824
Interquartile range (IQR)1838.0693

Descriptive statistics

Standard deviation1165.1638
Coefficient of variation (CV)0.0060765059
Kurtosis-0.69659631
Mean191748.98
Median Absolute Deviation (MAD)720.29765
Skewness0.53469459
Sum52155724
Variance1357606.7
MonotonicityNot monotonic
2024-05-11T15:59:28.659889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193469.554731741 4
 
1.4%
193896.282065175 3
 
1.1%
190866.605827116 3
 
1.1%
192959.271161366 3
 
1.1%
190825.994376401 3
 
1.1%
191518.75555489 3
 
1.1%
190200.049001255 3
 
1.1%
190121.308341551 2
 
0.7%
193844.169062846 2
 
0.7%
191272.602142605 2
 
0.7%
Other values (219) 244
86.8%
(Missing) 9
 
3.2%
ValueCountFrequency (%)
189734.544016734 1
0.4%
189785.752470051 1
0.4%
189842.356352967 1
0.4%
189862.670939789 1
0.4%
189959.044020878 1
0.4%
190012.97392274 1
0.4%
190026.251961332 1
0.4%
190028.918503393 2
0.7%
190034.436613508 1
0.4%
190079.219797466 1
0.4%
ValueCountFrequency (%)
194632.526367463 1
 
0.4%
194592.276750438 1
 
0.4%
194504.656267957 1
 
0.4%
194068.648710367 1
 
0.4%
194056.681860495 1
 
0.4%
194015.180457719 1
 
0.4%
193989.272586157 2
0.7%
193963.563089797 1
 
0.4%
193915.13139016 1
 
0.4%
193896.282065175 3
1.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct229
Distinct (%)84.2%
Missing9
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean446241.35
Minimum442956.07
Maximum448656.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-11T15:59:28.883493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442956.07
5-th percentile443619.71
Q1445541.09
median446417.96
Q3447172.05
95-th percentile448186.21
Maximum448656.73
Range5700.6617
Interquartile range (IQR)1630.9591

Descriptive statistics

Standard deviation1308.0989
Coefficient of variation (CV)0.0029313709
Kurtosis-0.28736641
Mean446241.35
Median Absolute Deviation (MAD)803.16954
Skewness-0.56239064
Sum1.2137765 × 108
Variance1711122.7
MonotonicityNot monotonic
2024-05-11T15:59:29.138951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
446508.068667777 4
 
1.4%
446442.571421294 3
 
1.1%
446211.615914248 3
 
1.1%
447637.656082358 3
 
1.1%
448191.347586673 3
 
1.1%
446809.632652641 3
 
1.1%
446799.193928168 3
 
1.1%
446385.28413493 2
 
0.7%
446511.783285705 2
 
0.7%
444887.563290729 2
 
0.7%
Other values (219) 244
86.8%
(Missing) 9
 
3.2%
ValueCountFrequency (%)
442956.065308648 1
0.4%
443079.668086593 1
0.4%
443096.527391865 1
0.4%
443274.308170125 1
0.4%
443308.2238195 1
0.4%
443353.906120741 1
0.4%
443365.164071781 1
0.4%
443428.617218158 1
0.4%
443452.113850549 1
0.4%
443477.984573011 1
0.4%
ValueCountFrequency (%)
448656.726986041 1
0.4%
448526.442274285 1
0.4%
448495.794800958 1
0.4%
448491.944701727 1
0.4%
448409.918833512 1
0.4%
448385.07386401 1
0.4%
448303.307042194 1
0.4%
448230.132882715 1
0.4%
448209.83608779 1
0.4%
448191.644571742 2
0.7%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
체력단련장업
156 
<NA>
125 

Length

Max length6
Median length6
Mean length5.1103203
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체력단련장업 156
55.5%
<NA> 125
44.5%

Length

2024-05-11T15:59:29.380818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:29.552383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체력단련장업 156
55.5%
na 125
44.5%

공사립구분명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
사립
156 
<NA>
125 

Length

Max length4
Median length2
Mean length2.8896797
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 156
55.5%
<NA> 125
44.5%

Length

2024-05-11T15:59:29.735980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:29.919665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 156
55.5%
na 125
44.5%

보험가입여부코드
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
<NA>
244 
0
37 

Length

Max length4
Median length4
Mean length3.6049822
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 244
86.8%
0 37
 
13.2%

Length

2024-05-11T15:59:30.094075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:30.292309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 244
86.8%
0 37
 
13.2%

지도자수
Categorical

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
<NA>
204 
1
40 
2
26 
0
 
11

Length

Max length4
Median length4
Mean length3.1779359
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 204
72.6%
1 40
 
14.2%
2 26
 
9.3%
0 11
 
3.9%

Length

2024-05-11T15:59:30.467058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:30.671666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 204
72.6%
1 40
 
14.2%
2 26
 
9.3%
0 11
 
3.9%

건축물동수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
<NA>
257 
0
 
21
1
 
3

Length

Max length4
Median length4
Mean length3.7437722
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 257
91.5%
0 21
 
7.5%
1 3
 
1.1%

Length

2024-05-11T15:59:30.887722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:31.061941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 257
91.5%
0 21
 
7.5%
1 3
 
1.1%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct39
Distinct (%)68.4%
Missing224
Missing (%)79.7%
Infinite0
Infinite (%)0.0%
Mean12911.859
Minimum0
Maximum340895.38
Zeros19
Zeros (%)6.8%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-11T15:59:31.235533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1929.28
Q36196.6
95-th percentile34719.884
Maximum340895.38
Range340895.38
Interquartile range (IQR)6196.6

Descriptive statistics

Standard deviation46671.478
Coefficient of variation (CV)3.6146211
Kurtosis45.466551
Mean12911.859
Median Absolute Deviation (MAD)1929.28
Skewness6.5075129
Sum735975.96
Variance2.1782268 × 109
MonotonicityNot monotonic
2024-05-11T15:59:31.519640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0.0 19
 
6.8%
3597.0 1
 
0.4%
24573.13 1
 
0.4%
6060.4 1
 
0.4%
1576.22 1
 
0.4%
4739.68 1
 
0.4%
264.46 1
 
0.4%
5406.22 1
 
0.4%
19364.36 1
 
0.4%
3277.41 1
 
0.4%
Other values (29) 29
 
10.3%
(Missing) 224
79.7%
ValueCountFrequency (%)
0.0 19
6.8%
97.23 1
 
0.4%
264.46 1
 
0.4%
814.0 1
 
0.4%
825.77 1
 
0.4%
1190.48 1
 
0.4%
1253.88 1
 
0.4%
1349.48 1
 
0.4%
1576.22 1
 
0.4%
1727.0 1
 
0.4%
ValueCountFrequency (%)
340895.38 1
0.4%
86880.22 1
0.4%
62419.5 1
0.4%
27794.98 1
0.4%
25646.2 1
0.4%
24573.13 1
0.4%
21920.8 1
0.4%
19364.36 1
0.4%
17424.63 1
0.4%
9719.43 1
0.4%

회원모집총인원
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
<NA>
268 
0
 
12
1
 
1

Length

Max length4
Median length4
Mean length3.86121
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> 268
95.4%
0 12
 
4.3%
1 1
 
0.4%

Length

2024-05-11T15:59:31.734397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:31.906903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 268
95.4%
0 12
 
4.3%
1 1
 
0.4%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing281
Missing (%)100.0%
Memory size2.6 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing281
Missing (%)100.0%
Memory size2.6 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03180000CDFH330106198900000119891111<NA>3폐업3폐업20020306<NA><NA><NA>678-4204<NA>150863서울특별시 영등포구 양평동1가 132-1번지<NA><NA>해룡헬스크럽2006-11-15 13:28:30I2018-08-31 23:59:59.0<NA>190200.049001446799.193928체력단련장업사립0<NA><NA><NA><NA><NA><NA>
13180000CDFH330106198900000219891219<NA>3폐업3폐업20220706<NA><NA><NA>2635-1494<NA><NA>서울특별시 영등포구 당산동6가 227서울특별시 영등포구 양평로 36 (당산동6가, 삼원빌딩)7223강남헬스2022-06-14 09:31:04U2021-12-05 23:06:00.0<NA>191326.23696447957.777253<NA><NA><NA><NA><NA><NA><NA><NA><NA>
23180000CDFH330106198900000319891219<NA>3폐업3폐업19970605<NA><NA><NA><NA><NA>150033서울특별시 영등포구 영등포동3가 24-23번지<NA><NA>동보헬스2003-04-18 15:28:04I2018-08-31 23:59:59.0<NA><NA><NA>체력단련장업사립<NA>000.0<NA><NA><NA>
33180000CDFH330106198900000419891220<NA>3폐업3폐업19980220<NA><NA><NA>841-5011<NA>150850서울특별시 영등포구 신길동 395-1번지서울특별시 영등포구 도림로 294 (신길동)<NA>도림신협남성체조교실2003-04-18 15:28:04I2018-08-31 23:59:59.0<NA>191401.081653444651.677412체력단련장업사립<NA>000.0<NA><NA><NA>
43180000CDFH330106198900000519891212<NA>3폐업3폐업20160118<NA><NA><NA>678-9391<NA><NA>서울특별시 영등포구 영등포동6가 4-2번지서울특별시 영등포구 영등포로35길 6 (영등포동6가, 덕성빌딩)7251양육체미2016-01-19 09:07:34I2018-08-31 23:59:59.0<NA>191449.985013446491.027556체력단련장업사립<NA><NA>00.0<NA><NA><NA>
53180000CDFH330106198900000619891213<NA>3폐업3폐업19990305<NA><NA><NA>849-8886<NA>150851서울특별시 영등포구 신길동 436-26번지서울특별시 영등포구 도림로 220 (신길동)<NA>삼 위2003-04-18 15:28:04I2018-08-31 23:59:59.0<NA>191486.891258443986.911026체력단련장업사립<NA>000.0<NA><NA><NA>
63180000CDFH330106198900000719891220<NA>3폐업3폐업20220323<NA><NA><NA>677-7289<NA><NA>서울특별시 영등포구 영등포동5가 6서울특별시 영등포구 영등포로43길 3-2 (영등포동5가)7250프로헬스2022-03-23 09:46:47U2022-03-25 02:40:00.0<NA>191747.252214446393.375935체력단련장업사립<NA>000.00<NA><NA>
73180000CDFH330106198900000819891215<NA>3폐업3폐업20220706<NA><NA><NA>784-2710<NA><NA>서울특별시 영등포구 여의도동 44-27서울특별시 영등포구 의사당대로1길 25 (여의도동, 하남빌딩)7333파워체육관2022-06-14 09:55:47U2021-12-05 23:06:00.0<NA>193737.480224446434.303266<NA><NA><NA><NA><NA><NA><NA><NA><NA>
83180000CDFH330106198900000919891106<NA>3폐업3폐업19970401<NA><NA><NA><NA><NA>150040서울특별시 영등포구 당산동 171-47번지서울특별시 영등포구 버드나루로23길 26 (당산동)<NA>골드헬스클럽2003-04-18 15:28:04I2018-08-31 23:59:59.0<NA>191675.248687447368.356782체력단련장업사립<NA>000.0<NA><NA><NA>
93180000CDFH330106198900001019891219<NA>3폐업3폐업19960529<NA><NA><NA><NA><NA>150814서울특별시 영등포구 대림동 716-3번지서울특별시 영등포구 도림로41길 8 (대림동)<NA>한승헬스크럽2003-04-18 15:28:04I2018-08-31 23:59:59.0<NA>190926.775422443621.154018체력단련장업사립<NA>000.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
2713180000CDFH33010620230000192023-12-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 43-4 롯데캐슬 아이비서울특별시 영등포구 국제금융로 86, 2층 204호 (여의도동, 롯데캐슬 아이비)7333리프레쉬짐2023-12-04 09:05:56I2022-11-02 00:06:00.0<NA>193896.282065446442.571421<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2723180000CDFH33010620230000202023-12-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동8가 80-2 드림프라자서울특별시 영등포구 영중로 138-1, 드림프라자 (영등포동8가)7226김경훈박사의 뉴로트레이닝센터(서울본부)2023-12-06 15:39:28I2022-11-02 00:08:00.0<NA>191627.906295447383.993552<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2733180000CDFH33010620230000212023-12-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동2가 198서울특별시 영등포구 영등포로53길 13 (영등포동2가)7252프리원핏2023-12-07 16:38:32I2022-11-02 00:09:00.0<NA>192054.868626446372.035243<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2743180000CDFH33010620230000222023-12-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 신길동 232-42서울특별시 영등포구 신길로 167, 지층 (신길동)7386투핏 신길점2023-12-08 09:56:33I2022-11-01 23:00:00.0<NA>192038.676036444984.191288<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2753180000CDFH33010620240000012024-01-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동 624-20서울특별시 영등포구 도영로22길 38 (영등포동)7369더 루트짐 영등포2024-01-19 17:22:07I2023-11-30 22:01:00.0<NA>191390.712447445337.490747<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2763180000CDFH33010620240000022024-01-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 525 브라이튼 여의도서울특별시 영등포구 국제금융로 39, 2층 209,210,211,212호 (여의도동, 브라이튼 여의도)7339하이랙스 여의도점2024-01-23 09:17:15I2023-11-30 22:05:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2773180000CDFH33010620240000032024-01-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 13 여의도파라곤서울특별시 영등포구 국회대로 800, 여의도파라곤 지하 1층 104호 (여의도동)7238여의도 피티 이프로 짐2024-01-25 09:08:53I2023-11-30 22:07:00.0<NA>192959.271161447637.656082<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2783180000CDFH33010620240000042024-02-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 신길동 4286-3서울특별시 영등포구 여의대방로23길 23 (신길동)7433에디션서울2024-02-06 09:40:54I2023-12-02 00:08:00.0<NA>192625.052289444019.144072<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2793180000CDFH33010620240000052024-03-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 당산동3가 558-5서울특별시 영등포구 양산로17길 23, 2층 (당산동3가)7261유어무브2024-03-27 16:39:06I2023-12-02 22:09:00.0<NA>190537.195263447165.962852<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2803180000CDFH33010620240000062024-04-23<NA>1영업/정상13영업중<NA><NA><NA><NA>0226931114<NA><NA>서울특별시 영등포구 문래동3가 77-13 대소빌딩서울특별시 영등포구 문래로 92, 대소빌딩 2층 203호 (문래동3가)7295비엠 더 프라이빗 문래점2024-04-23 12:58:56I2023-12-03 22:05:00.0<NA>190401.596788446339.064054<NA><NA><NA><NA><NA><NA><NA><NA><NA>