Overview

Dataset statistics

Number of variables34
Number of observations555
Missing cells5688
Missing cells (%)30.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory157.3 KiB
Average record size in memory290.2 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
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-19647/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화체육업종명 is highly imbalanced (67.5%)Imbalance
공사립구분명 is highly imbalanced (67.5%)Imbalance
보험가입여부코드 is highly imbalanced (72.1%)Imbalance
회원모집총인원 is highly imbalanced (91.4%)Imbalance
인허가취소일자 has 555 (100.0%) missing valuesMissing
폐업일자 has 85 (15.3%) missing valuesMissing
휴업시작일자 has 555 (100.0%) missing valuesMissing
휴업종료일자 has 555 (100.0%) missing valuesMissing
재개업일자 has 555 (100.0%) missing valuesMissing
전화번호 has 411 (74.1%) missing valuesMissing
소재지면적 has 555 (100.0%) missing valuesMissing
소재지우편번호 has 63 (11.4%) missing valuesMissing
도로명주소 has 20 (3.6%) missing valuesMissing
도로명우편번호 has 450 (81.1%) missing valuesMissing
업태구분명 has 555 (100.0%) missing valuesMissing
좌표정보(X) has 6 (1.1%) missing valuesMissing
좌표정보(Y) has 6 (1.1%) missing valuesMissing
건축물연면적 has 207 (37.3%) missing valuesMissing
세부업종명 has 555 (100.0%) missing valuesMissing
법인명 has 555 (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 272 (49.0%) zerosZeros

Reproduction

Analysis started2024-05-11 04:15:19.296515
Analysis finished2024-05-11 04:15:20.788342
Duration1.49 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
3200000
555 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3200000
2nd row3200000
3rd row3200000
4th row3200000
5th row3200000

Common Values

ValueCountFrequency (%)
3200000 555
100.0%

Length

2024-05-11T04:15:21.011152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:15:21.355338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3200000 555
100.0%

관리번호
Text

UNIQUE 

Distinct555
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2024-05-11T04:15:21.788982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters11100
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

Unique555 ?
Unique (%)100.0%

Sample

1st rowCDFH3301081983000001
2nd rowCDFH3301081984000001
3rd rowCDFH3301081985000001
4th rowCDFH3301081986000001
5th rowCDFH3301081986000002
ValueCountFrequency (%)
cdfh3301081983000001 1
 
0.2%
cdfh3301082007000009 1
 
0.2%
cdfh3301082006000007 1
 
0.2%
cdfh3301082007000014 1
 
0.2%
cdfh3301082007000013 1
 
0.2%
cdfh3301082007000012 1
 
0.2%
cdfh3301082007000011 1
 
0.2%
cdfh3301082007000010 1
 
0.2%
cdfh3301082007000016 1
 
0.2%
cdfh3301082007000015 1
 
0.2%
Other values (545) 545
98.2%
2024-05-11T04:15:22.767516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4065
36.6%
3 1254
 
11.3%
1 1231
 
11.1%
8 729
 
6.6%
9 708
 
6.4%
C 555
 
5.0%
D 555
 
5.0%
F 555
 
5.0%
H 555
 
5.0%
2 435
 
3.9%
Other values (4) 458
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8880
80.0%
Uppercase Letter 2220
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4065
45.8%
3 1254
 
14.1%
1 1231
 
13.9%
8 729
 
8.2%
9 708
 
8.0%
2 435
 
4.9%
4 138
 
1.6%
6 110
 
1.2%
7 108
 
1.2%
5 102
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 555
25.0%
D 555
25.0%
F 555
25.0%
H 555
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8880
80.0%
Latin 2220
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4065
45.8%
3 1254
 
14.1%
1 1231
 
13.9%
8 729
 
8.2%
9 708
 
8.0%
2 435
 
4.9%
4 138
 
1.6%
6 110
 
1.2%
7 108
 
1.2%
5 102
 
1.1%
Latin
ValueCountFrequency (%)
C 555
25.0%
D 555
25.0%
F 555
25.0%
H 555
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4065
36.6%
3 1254
 
11.3%
1 1231
 
11.1%
8 729
 
6.6%
9 708
 
6.4%
C 555
 
5.0%
D 555
 
5.0%
F 555
 
5.0%
H 555
 
5.0%
2 435
 
3.9%
Other values (4) 458
 
4.1%

인허가일자
Date

Distinct511
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
Minimum1983-09-19 00:00:00
Maximum2024-05-03 00:00:00
2024-05-11T04:15:23.172904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:15:23.644472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing555
Missing (%)100.0%
Memory size5.0 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
3
302 
4
173 
1
80 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 302
54.4%
4 173
31.2%
1 80
 
14.4%

Length

2024-05-11T04:15:24.150707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:15:24.415668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 302
54.4%
4 173
31.2%
1 80
 
14.4%

영업상태명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
폐업
302 
취소/말소/만료/정지/중지
173 
영업/정상
80 

Length

Max length14
Median length2
Mean length6.172973
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 302
54.4%
취소/말소/만료/정지/중지 173
31.2%
영업/정상 80
 
14.4%

Length

2024-05-11T04:15:24.807409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:15:25.139576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 302
54.4%
취소/말소/만료/정지/중지 173
31.2%
영업/정상 80
 
14.4%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
3
302 
35
173 
13
80 

Length

Max length2
Median length1
Mean length1.4558559
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 302
54.4%
35 173
31.2%
13 80
 
14.4%

Length

2024-05-11T04:15:25.590634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:15:25.946449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 302
54.4%
35 173
31.2%
13 80
 
14.4%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
폐업
302 
직권말소
173 
영업중
80 

Length

Max length4
Median length2
Mean length2.7675676
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 302
54.4%
직권말소 173
31.2%
영업중 80
 
14.4%

Length

2024-05-11T04:15:26.527158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:15:26.896998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 302
54.4%
직권말소 173
31.2%
영업중 80
 
14.4%

폐업일자
Date

MISSING 

Distinct290
Distinct (%)61.7%
Missing85
Missing (%)15.3%
Memory size4.5 KiB
Minimum1995-04-21 00:00:00
Maximum2024-05-03 00:00:00
2024-05-11T04:15:27.389723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:15:27.899976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing555
Missing (%)100.0%
Memory size5.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing555
Missing (%)100.0%
Memory size5.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing555
Missing (%)100.0%
Memory size5.0 KiB

전화번호
Text

MISSING 

Distinct141
Distinct (%)97.9%
Missing411
Missing (%)74.1%
Memory size4.5 KiB
2024-05-11T04:15:28.711603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12.5
Mean length10.527778
Min length8

Characters and Unicode

Total characters1516
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

Unique138 ?
Unique (%)95.8%

Sample

1st row02-888-7381
2nd row02-889-2265
3rd row02-886-0901
4th row884-0344
5th row02-886-5776
ValueCountFrequency (%)
02-6012-5906 2
 
1.4%
02-839-7666 2
 
1.4%
02-867-1707 2
 
1.4%
02-6402-0443 1
 
0.7%
02-831-7933 1
 
0.7%
02-3285-9076 1
 
0.7%
875-9001 1
 
0.7%
887-6436 1
 
0.7%
02-857-0390 1
 
0.7%
02-884-4930 1
 
0.7%
Other values (131) 131
91.0%
2024-05-11T04:15:30.270303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 248
16.4%
8 231
15.2%
0 207
13.7%
2 155
10.2%
7 145
9.6%
3 106
7.0%
9 96
 
6.3%
6 92
 
6.1%
5 89
 
5.9%
4 74
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1268
83.6%
Dash Punctuation 248
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 231
18.2%
0 207
16.3%
2 155
12.2%
7 145
11.4%
3 106
8.4%
9 96
7.6%
6 92
 
7.3%
5 89
 
7.0%
4 74
 
5.8%
1 73
 
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 248
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1516
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 248
16.4%
8 231
15.2%
0 207
13.7%
2 155
10.2%
7 145
9.6%
3 106
7.0%
9 96
 
6.3%
6 92
 
6.1%
5 89
 
5.9%
4 74
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1516
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 248
16.4%
8 231
15.2%
0 207
13.7%
2 155
10.2%
7 145
9.6%
3 106
7.0%
9 96
 
6.3%
6 92
 
6.1%
5 89
 
5.9%
4 74
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing555
Missing (%)100.0%
Memory size5.0 KiB

소재지우편번호
Text

MISSING 

Distinct98
Distinct (%)19.9%
Missing63
Missing (%)11.4%
Memory size4.5 KiB
2024-05-11T04:15:31.228026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0203252
Min length6

Characters and Unicode

Total characters2962
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

Unique31 ?
Unique (%)6.3%

Sample

1st row151050
2nd row151832
3rd row151884
4th row151858
5th row151830
ValueCountFrequency (%)
151895 41
 
8.3%
151015 25
 
5.1%
151930 24
 
4.9%
151818 15
 
3.0%
151050 15
 
3.0%
151858 15
 
3.0%
151892 14
 
2.8%
151830 13
 
2.6%
151875 12
 
2.4%
151836 11
 
2.2%
Other values (88) 307
62.4%
2024-05-11T04:15:32.378131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1091
36.8%
5 644
21.7%
8 458
15.5%
9 193
 
6.5%
0 172
 
5.8%
3 116
 
3.9%
4 92
 
3.1%
2 77
 
2.6%
6 55
 
1.9%
7 54
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2952
99.7%
Dash Punctuation 10
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1091
37.0%
5 644
21.8%
8 458
15.5%
9 193
 
6.5%
0 172
 
5.8%
3 116
 
3.9%
4 92
 
3.1%
2 77
 
2.6%
6 55
 
1.9%
7 54
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2962
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1091
36.8%
5 644
21.7%
8 458
15.5%
9 193
 
6.5%
0 172
 
5.8%
3 116
 
3.9%
4 92
 
3.1%
2 77
 
2.6%
6 55
 
1.9%
7 54
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2962
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1091
36.8%
5 644
21.7%
8 458
15.5%
9 193
 
6.5%
0 172
 
5.8%
3 116
 
3.9%
4 92
 
3.1%
2 77
 
2.6%
6 55
 
1.9%
7 54
 
1.8%

지번주소
Text

Distinct536
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2024-05-11T04:15:33.367095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length32
Mean length24.077477
Min length19

Characters and Unicode

Total characters13363
Distinct characters83
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

Unique517 ?
Unique (%)93.2%

Sample

1st row서울특별시 관악구 봉천동 1598-18번지 ,19
2nd row서울특별시 관악구 봉천동 1657-24번지
3rd row서울특별시 관악구 신림동 668-4번지
4th row서울특별시 관악구 신림동 240-4번지
5th row서울특별시 관악구 봉천동 970-21번지
ValueCountFrequency (%)
서울특별시 555
22.5%
관악구 555
22.5%
신림동 338
13.7%
봉천동 205
 
8.3%
3층 49
 
2.0%
2층 41
 
1.7%
지층 33
 
1.3%
4층 15
 
0.6%
지하1층 13
 
0.5%
남현동 12
 
0.5%
Other values (550) 651
26.4%
2024-05-11T04:15:34.952352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2422
18.1%
1 672
 
5.0%
동 560
 
4.2%
시 556
 
4.2%
관 556
 
4.2%
악 556
 
4.2%
서 555
 
4.2%
특 555
 
4.2%
별 555
 
4.2%
구 555
 
4.2%
Other values (73) 5821
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7339
54.9%
Decimal Number 2988
22.4%
Space Separator 2422
 
18.1%
Dash Punctuation 542
 
4.1%
Other Punctuation 21
 
0.2%
Open Punctuation 20
 
0.1%
Close Punctuation 20
 
0.1%
Uppercase Letter 11
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 560
 
7.6%
시 556
 
7.6%
관 556
 
7.6%
악 556
 
7.6%
서 555
 
7.6%
특 555
 
7.6%
별 555
 
7.6%
구 555
 
7.6%
울 555
 
7.6%
지 495
 
6.7%
Other values (54) 1841
25.1%
Decimal Number
ValueCountFrequency (%)
1 672
22.5%
2 366
12.2%
3 325
10.9%
6 320
10.7%
4 300
10.0%
5 296
9.9%
7 194
 
6.5%
8 193
 
6.5%
0 163
 
5.5%
9 159
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
B 9
81.8%
F 1
 
9.1%
A 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 20
95.2%
. 1
 
4.8%
Space Separator
ValueCountFrequency (%)
2422
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 542
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7339
54.9%
Common 6013
45.0%
Latin 11
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 560
 
7.6%
시 556
 
7.6%
관 556
 
7.6%
악 556
 
7.6%
서 555
 
7.6%
특 555
 
7.6%
별 555
 
7.6%
구 555
 
7.6%
울 555
 
7.6%
지 495
 
6.7%
Other values (54) 1841
25.1%
Common
ValueCountFrequency (%)
2422
40.3%
1 672
 
11.2%
- 542
 
9.0%
2 366
 
6.1%
3 325
 
5.4%
6 320
 
5.3%
4 300
 
5.0%
5 296
 
4.9%
7 194
 
3.2%
8 193
 
3.2%
Other values (6) 383
 
6.4%
Latin
ValueCountFrequency (%)
B 9
81.8%
F 1
 
9.1%
A 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7339
54.9%
ASCII 6024
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2422
40.2%
1 672
 
11.2%
- 542
 
9.0%
2 366
 
6.1%
3 325
 
5.4%
6 320
 
5.3%
4 300
 
5.0%
5 296
 
4.9%
7 194
 
3.2%
8 193
 
3.2%
Other values (9) 394
 
6.5%
Hangul
ValueCountFrequency (%)
동 560
 
7.6%
시 556
 
7.6%
관 556
 
7.6%
악 556
 
7.6%
서 555
 
7.6%
특 555
 
7.6%
별 555
 
7.6%
구 555
 
7.6%
울 555
 
7.6%
지 495
 
6.7%
Other values (54) 1841
25.1%

도로명주소
Text

MISSING 

Distinct520
Distinct (%)97.2%
Missing20
Missing (%)3.6%
Memory size4.5 KiB
2024-05-11T04:15:36.116640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length37
Mean length26.478505
Min length21

Characters and Unicode

Total characters14166
Distinct characters132
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

Unique505 ?
Unique (%)94.4%

Sample

1st row서울특별시 관악구 관악로 152 (봉천동,,19)
2nd row서울특별시 관악구 남부순환로 1952 (봉천동)
3rd row서울특별시 관악구 난향길 4 (신림동)
4th row서울특별시 관악구 신림로 101 (신림동)
5th row서울특별시 관악구 당곡길 6 (봉천동)
ValueCountFrequency (%)
서울특별시 535
19.1%
관악구 535
19.1%
신림동 234
 
8.4%
봉천동 143
 
5.1%
남부순환로 94
 
3.4%
신림로 64
 
2.3%
난곡로 36
 
1.3%
관악로 29
 
1.0%
봉천로 25
 
0.9%
2층 24
 
0.9%
Other values (483) 1078
38.5%
2024-05-11T04:15:37.575469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2487
 
17.6%
관 579
 
4.1%
악 576
 
4.1%
( 554
 
3.9%
) 554
 
3.9%
동 546
 
3.9%
시 542
 
3.8%
서 537
 
3.8%
특 535
 
3.8%
별 535
 
3.8%
Other values (122) 6721
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8323
58.8%
Space Separator 2487
 
17.6%
Decimal Number 1943
 
13.7%
Open Punctuation 554
 
3.9%
Close Punctuation 554
 
3.9%
Other Punctuation 269
 
1.9%
Dash Punctuation 23
 
0.2%
Uppercase Letter 13
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 579
 
7.0%
악 576
 
6.9%
동 546
 
6.6%
시 542
 
6.5%
서 537
 
6.5%
특 535
 
6.4%
별 535
 
6.4%
구 535
 
6.4%
울 535
 
6.4%
로 461
 
5.5%
Other values (104) 2942
35.3%
Decimal Number
ValueCountFrequency (%)
1 439
22.6%
2 298
15.3%
3 242
12.5%
4 174
 
9.0%
5 162
 
8.3%
6 159
 
8.2%
7 147
 
7.6%
0 112
 
5.8%
9 107
 
5.5%
8 103
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 268
99.6%
. 1
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
B 12
92.3%
F 1
 
7.7%
Space Separator
ValueCountFrequency (%)
2487
100.0%
Open Punctuation
ValueCountFrequency (%)
( 554
100.0%
Close Punctuation
ValueCountFrequency (%)
) 554
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8323
58.8%
Common 5830
41.2%
Latin 13
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 579
 
7.0%
악 576
 
6.9%
동 546
 
6.6%
시 542
 
6.5%
서 537
 
6.5%
특 535
 
6.4%
별 535
 
6.4%
구 535
 
6.4%
울 535
 
6.4%
로 461
 
5.5%
Other values (104) 2942
35.3%
Common
ValueCountFrequency (%)
2487
42.7%
( 554
 
9.5%
) 554
 
9.5%
1 439
 
7.5%
2 298
 
5.1%
, 268
 
4.6%
3 242
 
4.2%
4 174
 
3.0%
5 162
 
2.8%
6 159
 
2.7%
Other values (6) 493
 
8.5%
Latin
ValueCountFrequency (%)
B 12
92.3%
F 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8323
58.8%
ASCII 5843
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2487
42.6%
( 554
 
9.5%
) 554
 
9.5%
1 439
 
7.5%
2 298
 
5.1%
, 268
 
4.6%
3 242
 
4.1%
4 174
 
3.0%
5 162
 
2.8%
6 159
 
2.7%
Other values (8) 506
 
8.7%
Hangul
ValueCountFrequency (%)
관 579
 
7.0%
악 576
 
6.9%
동 546
 
6.6%
시 542
 
6.5%
서 537
 
6.5%
특 535
 
6.4%
별 535
 
6.4%
구 535
 
6.4%
울 535
 
6.4%
로 461
 
5.5%
Other values (104) 2942
35.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)58.1%
Missing450
Missing (%)81.1%
Infinite0
Infinite (%)0.0%
Mean22370.457
Minimum8700
Maximum151930
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2024-05-11T04:15:38.146024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8700
5-th percentile8702.8
Q18755
median8784
Q38813
95-th percentile151650
Maximum151930
Range143230
Interquartile range (IQR)58

Descriptive statistics

Standard deviation42102.975
Coefficient of variation (CV)1.8820793
Kurtosis5.9413745
Mean22370.457
Median Absolute Deviation (MAD)29
Skewness2.7979347
Sum2348898
Variance1.7726605 × 109
MonotonicityNot monotonic
2024-05-11T04:15:38.722938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8813 6
 
1.1%
8814 6
 
1.1%
8812 4
 
0.7%
8776 4
 
0.7%
8761 4
 
0.7%
8702 3
 
0.5%
8749 3
 
0.5%
8784 3
 
0.5%
8753 3
 
0.5%
8769 3
 
0.5%
Other values (51) 66
 
11.9%
(Missing) 450
81.1%
ValueCountFrequency (%)
8700 1
 
0.2%
8701 2
0.4%
8702 3
0.5%
8706 1
 
0.2%
8708 1
 
0.2%
8710 1
 
0.2%
8716 1
 
0.2%
8722 1
 
0.2%
8733 1
 
0.2%
8734 1
 
0.2%
ValueCountFrequency (%)
151930 1
0.2%
151848 1
0.2%
151843 1
0.2%
151832 1
0.2%
151822 1
0.2%
151800 1
0.2%
151050 2
0.4%
151015 2
0.4%
8856 1
0.2%
8852 1
0.2%

사업장명
Text

Distinct467
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2024-05-11T04:15:39.502968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length4.7531532
Min length1

Characters and Unicode

Total characters2638
Distinct characters337
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique405 ?
Unique (%)73.0%

Sample

1st row특실
2nd row신일
3rd row밀
4th rowP J
5th row서울
ValueCountFrequency (%)
당구장 64
 
9.4%
당구클럽 23
 
3.4%
클럽 7
 
1.0%
세븐 5
 
0.7%
큐 5
 
0.7%
당구 5
 
0.7%
빌리어드 4
 
0.6%
허리우드 4
 
0.6%
탑 4
 
0.6%
월드당구장 4
 
0.6%
Other values (459) 555
81.6%
2024-05-11T04:15:40.916192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 323
 
12.2%
당 319
 
12.1%
장 263
 
10.0%
125
 
4.7%
럽 64
 
2.4%
클 63
 
2.4%
스 59
 
2.2%
리 53
 
2.0%
드 50
 
1.9%
이 29
 
1.1%
Other values (327) 1290
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2274
86.2%
Space Separator 125
 
4.7%
Uppercase Letter 111
 
4.2%
Lowercase Letter 60
 
2.3%
Decimal Number 33
 
1.3%
Other Punctuation 22
 
0.8%
Dash Punctuation 4
 
0.2%
Math Symbol 3
 
0.1%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 323
 
14.2%
당 319
 
14.0%
장 263
 
11.6%
럽 64
 
2.8%
클 63
 
2.8%
스 59
 
2.6%
리 53
 
2.3%
드 50
 
2.2%
이 29
 
1.3%
아 26
 
1.1%
Other values (275) 1025
45.1%
Uppercase Letter
ValueCountFrequency (%)
B 21
18.9%
S 19
17.1%
C 12
10.8%
J 9
8.1%
A 9
8.1%
G 8
 
7.2%
M 5
 
4.5%
P 5
 
4.5%
K 4
 
3.6%
W 3
 
2.7%
Other values (9) 16
14.4%
Lowercase Letter
ValueCountFrequency (%)
s 9
15.0%
l 9
15.0%
a 6
10.0%
d 5
8.3%
i 5
8.3%
b 4
6.7%
e 4
6.7%
r 3
 
5.0%
o 3
 
5.0%
u 3
 
5.0%
Other values (7) 9
15.0%
Decimal Number
ValueCountFrequency (%)
2 15
45.5%
0 9
27.3%
1 3
 
9.1%
4 2
 
6.1%
7 2
 
6.1%
3 1
 
3.0%
5 1
 
3.0%
Other Punctuation
ValueCountFrequency (%)
. 18
81.8%
# 2
 
9.1%
' 1
 
4.5%
& 1
 
4.5%
Space Separator
ValueCountFrequency (%)
125
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2272
86.1%
Common 193
 
7.3%
Latin 171
 
6.5%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 323
 
14.2%
당 319
 
14.0%
장 263
 
11.6%
럽 64
 
2.8%
클 63
 
2.8%
스 59
 
2.6%
리 53
 
2.3%
드 50
 
2.2%
이 29
 
1.3%
아 26
 
1.1%
Other values (273) 1023
45.0%
Latin
ValueCountFrequency (%)
B 21
 
12.3%
S 19
 
11.1%
C 12
 
7.0%
J 9
 
5.3%
s 9
 
5.3%
l 9
 
5.3%
A 9
 
5.3%
G 8
 
4.7%
a 6
 
3.5%
d 5
 
2.9%
Other values (26) 64
37.4%
Common
ValueCountFrequency (%)
125
64.8%
. 18
 
9.3%
2 15
 
7.8%
0 9
 
4.7%
- 4
 
2.1%
+ 3
 
1.6%
1 3
 
1.6%
( 3
 
1.6%
) 3
 
1.6%
# 2
 
1.0%
Other values (6) 8
 
4.1%
Han
ValueCountFrequency (%)
溱 1
50.0%
成 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2272
86.1%
ASCII 364
 
13.8%
CJK 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 323
 
14.2%
당 319
 
14.0%
장 263
 
11.6%
럽 64
 
2.8%
클 63
 
2.8%
스 59
 
2.6%
리 53
 
2.3%
드 50
 
2.2%
이 29
 
1.3%
아 26
 
1.1%
Other values (273) 1023
45.0%
ASCII
ValueCountFrequency (%)
125
34.3%
B 21
 
5.8%
S 19
 
5.2%
. 18
 
4.9%
2 15
 
4.1%
C 12
 
3.3%
J 9
 
2.5%
s 9
 
2.5%
l 9
 
2.5%
A 9
 
2.5%
Other values (42) 118
32.4%
CJK
ValueCountFrequency (%)
溱 1
50.0%
成 1
50.0%

최종수정일자
Date

Distinct438
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
Minimum2003-02-06 10:45:13
Maximum2024-05-03 17:30:38
2024-05-11T04:15:41.395205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:15:41.948773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
I
412 
U
143 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 412
74.2%
U 143
 
25.8%

Length

2024-05-11T04:15:42.469068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:15:42.798833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 412
74.2%
u 143
 
25.8%

데이터갱신일자
Date

Distinct100
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T04:15:43.154603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:15:43.760090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing555
Missing (%)100.0%
Memory size5.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct434
Distinct (%)79.1%
Missing6
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean194214.56
Minimum191182
Maximum198278.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2024-05-11T04:15:44.271617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191182
5-th percentile191642.83
Q1193264.6
median194224.09
Q3195213.06
95-th percentile196721.99
Maximum198278.93
Range7096.9306
Interquartile range (IQR)1948.4589

Descriptive statistics

Standard deviation1513.192
Coefficient of variation (CV)0.0077913417
Kurtosis-0.22105551
Mean194214.56
Median Absolute Deviation (MAD)988.97242
Skewness0.2409285
Sum1.0662379 × 108
Variance2289750
MonotonicityNot monotonic
2024-05-11T04:15:44.820764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
194410.801508392 6
 
1.1%
194544.080620134 4
 
0.7%
194579.820630284 4
 
0.7%
196172.424814579 3
 
0.5%
193526.538664891 3
 
0.5%
195285.853833707 3
 
0.5%
196347.890512479 3
 
0.5%
193664.377571808 3
 
0.5%
193530.483995719 3
 
0.5%
194072.298200587 3
 
0.5%
Other values (424) 514
92.6%
(Missing) 6
 
1.1%
ValueCountFrequency (%)
191182.000480527 2
0.4%
191204.884621244 1
0.2%
191224.178786196 2
0.4%
191244.186952943 1
0.2%
191278.82541331 1
0.2%
191326.542622821 1
0.2%
191342.399599631 1
0.2%
191358.477626236 1
0.2%
191376.602183978 1
0.2%
191378.311115934 1
0.2%
ValueCountFrequency (%)
198278.931088754 2
0.4%
198264.099355157 1
0.2%
198248.942426333 1
0.2%
198239.501800338 1
0.2%
198237.008977315 1
0.2%
198209.153690741 1
0.2%
198172.998854713 1
0.2%
198148.860261311 1
0.2%
198051.385140733 1
0.2%
197965.134833373 2
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct434
Distinct (%)79.1%
Missing6
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean441871.29
Minimum439809.67
Maximum443314.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2024-05-11T04:15:45.505121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439809.67
5-th percentile440738.23
Q1441294.88
median442033.34
Q3442389.27
95-th percentile442844.4
Maximum443314.94
Range3505.2719
Interquartile range (IQR)1094.3803

Descriptive statistics

Standard deviation725.71566
Coefficient of variation (CV)0.0016423689
Kurtosis-0.83036442
Mean441871.29
Median Absolute Deviation (MAD)507.34544
Skewness-0.34868472
Sum2.4258734 × 108
Variance526663.23
MonotonicityNot monotonic
2024-05-11T04:15:46.167388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
440797.557340029 6
 
1.1%
440779.226060347 4
 
0.7%
440904.873823748 4
 
0.7%
441954.770221655 3
 
0.5%
442390.011181772 3
 
0.5%
442724.651465949 3
 
0.5%
441688.166121241 3
 
0.5%
442287.130270576 3
 
0.5%
442635.279595586 3
 
0.5%
442536.885283449 3
 
0.5%
Other values (424) 514
92.6%
(Missing) 6
 
1.1%
ValueCountFrequency (%)
439809.669640911 1
0.2%
440102.354868197 1
0.2%
440135.318262207 1
0.2%
440230.774640162 1
0.2%
440285.417442582 2
0.4%
440334.091212577 1
0.2%
440337.516323268 1
0.2%
440355.648657087 1
0.2%
440444.706886832 2
0.4%
440478.635516374 1
0.2%
ValueCountFrequency (%)
443314.941516933 2
0.4%
443287.794417958 2
0.4%
443241.362831726 1
0.2%
443231.666283907 2
0.4%
443220.681393636 1
0.2%
443199.528183519 1
0.2%
443177.032539307 1
0.2%
443166.848549728 1
0.2%
443157.363464064 1
0.2%
443119.38369177 1
0.2%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
당구장업
522 
<NA>
 
33

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
당구장업 522
94.1%
<NA> 33
 
5.9%

Length

2024-05-11T04:15:46.851579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:15:47.583350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 522
94.1%
na 33
 
5.9%

공사립구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
사립
522 
<NA>
 
33

Length

Max length4
Median length2
Mean length2.1189189
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 522
94.1%
<NA> 33
 
5.9%

Length

2024-05-11T04:15:48.171114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:15:48.714657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 522
94.1%
na 33
 
5.9%

보험가입여부코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
<NA>
490 
0
62 
Y
 
2
1
 
1

Length

Max length4
Median length4
Mean length3.6486486
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 490
88.3%
0 62
 
11.2%
Y 2
 
0.4%
1 1
 
0.2%

Length

2024-05-11T04:15:49.177719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:15:49.582872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 490
88.3%
0 62
 
11.2%
y 2
 
0.4%
1 1
 
0.2%

지도자수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
<NA>
427 
0
128 

Length

Max length4
Median length4
Mean length3.3081081
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> 427
76.9%
0 128
 
23.1%

Length

2024-05-11T04:15:50.004632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:15:50.403819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 427
76.9%
0 128
 
23.1%

건축물동수
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
0
281 
<NA>
244 
1
30 

Length

Max length4
Median length1
Mean length2.3189189
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 281
50.6%
<NA> 244
44.0%
1 30
 
5.4%

Length

2024-05-11T04:15:50.759772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:15:51.162206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 281
50.6%
na 244
44.0%
1 30
 
5.4%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct74
Distinct (%)21.3%
Missing207
Missing (%)37.3%
Infinite0
Infinite (%)0.0%
Mean271.04537
Minimum0
Maximum6691.08
Zeros272
Zeros (%)49.0%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2024-05-11T04:15:51.719411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1358.009
Maximum6691.08
Range6691.08
Interquartile range (IQR)0

Descriptive statistics

Standard deviation732.95104
Coefficient of variation (CV)2.7041636
Kurtosis30.604342
Mean271.04537
Median Absolute Deviation (MAD)0
Skewness4.7258816
Sum94323.79
Variance537217.23
MonotonicityNot monotonic
2024-05-11T04:15:52.190607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 272
49.0%
718.33 2
 
0.4%
1045.29 2
 
0.4%
982.04 2
 
0.4%
807.2 1
 
0.2%
2567.6 1
 
0.2%
6691.08 1
 
0.2%
1815.95 1
 
0.2%
845.11 1
 
0.2%
1108.51 1
 
0.2%
Other values (64) 64
 
11.5%
(Missing) 207
37.3%
ValueCountFrequency (%)
0.0 272
49.0%
129.0 1
 
0.2%
130.98 1
 
0.2%
131.43 1
 
0.2%
174.0 1
 
0.2%
212.08 1
 
0.2%
225.6 1
 
0.2%
309.75 1
 
0.2%
320.79 1
 
0.2%
360.33 1
 
0.2%
ValueCountFrequency (%)
6691.08 1
0.2%
6115.38 1
0.2%
3445.42 1
0.2%
3396.0 1
0.2%
3268.24 1
0.2%
2626.8 1
0.2%
2567.6 1
0.2%
2490.74 1
0.2%
2309.16 1
0.2%
2165.69 1
0.2%

회원모집총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
<NA>
549 
0
 
6

Length

Max length4
Median length4
Mean length3.9675676
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> 549
98.9%
0 6
 
1.1%

Length

2024-05-11T04:15:52.633286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:15:52.961468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 549
98.9%
0 6
 
1.1%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing555
Missing (%)100.0%
Memory size5.0 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing555
Missing (%)100.0%
Memory size5.0 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03200000CDFH330108198300000119830919<NA>3폐업3폐업20070323<NA><NA><NA><NA><NA>151050서울특별시 관악구 봉천동 1598-18번지 ,19서울특별시 관악구 관악로 152 (봉천동,,19)<NA>특실2007-03-27 10:31:47I2018-08-31 23:59:59.0<NA>195738.127258441841.45752당구장업사립0<NA><NA><NA><NA><NA><NA>
13200000CDFH330108198400000119840118<NA>4취소/말소/만료/정지/중지35직권말소20141020<NA><NA><NA><NA><NA>151832서울특별시 관악구 봉천동 1657-24번지서울특별시 관악구 남부순환로 1952 (봉천동)<NA>신일2014-11-20 15:11:04I2018-08-31 23:59:59.0<NA>196892.414715441529.42779당구장업사립<NA><NA>00.0<NA><NA><NA>
23200000CDFH330108198500000119851115<NA>3폐업3폐업20050214<NA><NA><NA><NA><NA>151884서울특별시 관악구 신림동 668-4번지서울특별시 관악구 난향길 4 (신림동)<NA>밀2008-10-10 13:14:29I2018-08-31 23:59:59.0<NA>192736.582687440102.354868당구장업사립0<NA><NA><NA><NA><NA><NA>
33200000CDFH330108198600000119860224<NA>4취소/말소/만료/정지/중지35직권말소20141028<NA><NA><NA><NA><NA>151858서울특별시 관악구 신림동 240-4번지서울특별시 관악구 신림로 101 (신림동)<NA>P J2014-11-20 16:16:14I2018-08-31 23:59:59.0<NA>194457.49296440910.563873당구장업사립<NA><NA>00.0<NA><NA><NA>
43200000CDFH330108198600000219860512<NA>4취소/말소/만료/정지/중지35직권말소20141016<NA><NA><NA><NA><NA>151830서울특별시 관악구 봉천동 970-21번지서울특별시 관악구 당곡길 6 (봉천동)<NA>서울2014-11-19 10:32:28I2018-08-31 23:59:59.0<NA>193647.343882443033.399548당구장업사립<NA><NA>00.0<NA><NA><NA>
53200000CDFH330108198600000419860915<NA>3폐업3폐업19991118<NA><NA><NA><NA><NA>151811서울특별시 관악구 봉천동 58-2번지서울특별시 관악구 중앙길 7 (봉천동)<NA>까치2003-02-06 10:45:13I2018-08-31 23:59:59.0<NA>195845.67044442397.600123당구장업사립<NA>000.0<NA><NA><NA>
63200000CDFH330108198700000119870309<NA>3폐업3폐업20040730<NA><NA><NA><NA><NA>151836서울특별시 관악구 봉천동 864-1번지서울특별시 관악구 관악로 155 (봉천동)<NA>프린스2008-10-10 11:23:55I2018-08-31 23:59:59.0<NA>195689.230868441887.46613당구장업사립0<NA><NA><NA><NA><NA><NA>
73200000CDFH330108198700000219870422<NA>4취소/말소/만료/정지/중지35직권말소20141107<NA><NA><NA><NA><NA>151800서울특별시 관악구 남현동 1060-10번지서울특별시 관악구 남부순환로 2082-25 (남현동)<NA>신성2014-11-21 09:56:53I2018-08-31 23:59:59.0<NA>198248.942426441541.599784당구장업사립<NA><NA>00.0<NA><NA><NA>
83200000CDFH330108198700000319870501<NA>4취소/말소/만료/정지/중지35직권말소20141112<NA><NA><NA><NA><NA>151015서울특별시 관악구 신림동 487-4번지서울특별시 관악구 남부순환로 1537 (신림동)<NA>대학촌2014-11-25 11:08:41I2018-08-31 23:59:59.0<NA>192971.239116442350.350251당구장업사립<NA><NA>00.0<NA><NA><NA>
93200000CDFH330108198700000419870825<NA>4취소/말소/만료/정지/중지35직권말소20141020<NA><NA><NA><NA><NA>151844서울특별시 관악구 봉천동 927-1번지서울특별시 관악구 남부순환로 1740 (봉천동)<NA>푸른들2014-11-19 13:23:35I2018-08-31 23:59:59.0<NA>194911.449656442195.395818당구장업사립<NA><NA>00.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
5453200000CDFH330108202000000420200722<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6012-5906<NA><NA>서울특별시 관악구 신림동 242-2 2층서울특별시 관악구 신림로11길 29, 2층 (신림동)8814탑 빌리어드 클럽2021-04-01 10:23:24U2021-04-03 02:40:00.0<NA>194544.08062440779.22606당구장업사립<NA><NA><NA>982.04<NA><NA><NA>
5463200000CDFH330108202000000520200724<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 498-45서울특별시 관악구 신사로 116-1, 지하1층 (신림동)87023M캐롬클럽2022-07-25 17:28:32U2021-12-06 22:07:00.0<NA>192429.160876442856.622645<NA><NA><NA><NA><NA><NA><NA><NA><NA>
5473200000CDFH330108202100000120210429<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 1625-17서울특별시 관악구 낙성대로 22, 2층 (봉천동)8790샤샤빌리아즈2021-04-29 16:56:31I2021-05-01 00:23:12.0<NA>196282.830235441594.601238당구장업사립<NA><NA><NA><NA><NA><NA><NA>
5483200000CDFH330108202100000220210901<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 1524-10 오성빌딩서울특별시 관악구 호암로24길 11, 오성빌딩 지하1층 (신림동)8812포텐샤2021-09-01 10:11:34I2021-09-03 00:22:50.0<NA>194087.026131440876.990388당구장업사립<NA>001045.290<NA><NA>
5493200000CDFH33010820220000012022-06-14<NA>3폐업3폐업2024-05-03<NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 1717-3 관악푸르지오서울특별시 관악구 청림6길 3, 관악푸르지오 4층 401호 (봉천동)8734에버 빌리어드 클럽2024-05-03 17:30:38U2023-12-05 00:05:00.0<NA>196384.544308442822.980266<NA><NA><NA><NA><NA><NA><NA><NA><NA>
5503200000CDFH330108202200000220220705<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 238-10서울특별시 관악구 신림로 89, 지층 (신림동)8814승리 당구클럽2022-07-05 10:27:50I2021-12-07 00:07:00.0<NA>194579.82063440904.873824<NA><NA><NA><NA><NA><NA><NA><NA><NA>
5513200000CDFH330108202200000320220726<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 910-1 미화빌딩서울특별시 관악구 양녕로 29, 미화빌딩 6층 (봉천동)8752PBC 케롬클럽 봉천점2022-07-26 13:09:53I2021-12-06 22:08:00.0<NA>195188.119762442496.466398<NA><NA><NA><NA><NA><NA><NA><NA><NA>
5523200000CDFH33010820230000012023-04-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 1432-136서울특별시 관악구 신림동5길 31, 2층 (신림동)8760원 캐롬클럽2023-04-12 09:07:19I2022-12-03 23:04:00.0<NA>193530.483996442635.279596<NA><NA><NA><NA><NA><NA><NA><NA><NA>
5533200000CDFH33010820230000022023-07-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 1653-6 신원빌딩서울특별시 관악구 조원로 24, 신원빌딩 지하1층 (신림동)8769구디 캐롬 클럽2023-07-28 13:27:08I2022-12-06 21:00:00.0<NA>191530.450376442338.484748<NA><NA><NA><NA><NA><NA><NA><NA><NA>
5543200000CDFH33010820240000012024-05-03<NA>1영업/정상13영업중<NA><NA><NA><NA>02-839-7666<NA><NA>서울특별시 관악구 신림동 518-1 경신빌딩서울특별시 관악구 난곡로 367, 경신빌딩 6층 (신림동)8701SBS 당구장2024-05-03 08:59:00I2023-12-05 00:05:00.0<NA>192264.92285442728.778919<NA><NA><NA><NA><NA><NA><NA><NA><NA>