Overview

Dataset statistics

Number of variables34
Number of observations469
Missing cells4421
Missing cells (%)27.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory133.4 KiB
Average record size in memory291.3 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
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-19633/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
보험가입여부코드 is highly imbalanced (87.5%)Imbalance
지도자수 is highly imbalanced (54.4%)Imbalance
건축물동수 is highly imbalanced (51.8%)Imbalance
회원모집총인원 is highly imbalanced (79.6%)Imbalance
인허가취소일자 has 469 (100.0%) missing valuesMissing
폐업일자 has 106 (22.6%) missing valuesMissing
휴업시작일자 has 469 (100.0%) missing valuesMissing
휴업종료일자 has 469 (100.0%) missing valuesMissing
재개업일자 has 469 (100.0%) missing valuesMissing
전화번호 has 139 (29.6%) missing valuesMissing
소재지면적 has 469 (100.0%) missing valuesMissing
소재지우편번호 has 61 (13.0%) missing valuesMissing
지번주소 has 15 (3.2%) missing valuesMissing
도로명주소 has 10 (2.1%) missing valuesMissing
도로명우편번호 has 48 (10.2%) missing valuesMissing
업태구분명 has 469 (100.0%) missing valuesMissing
좌표정보(X) has 7 (1.5%) missing valuesMissing
좌표정보(Y) has 7 (1.5%) missing valuesMissing
건축물연면적 has 276 (58.8%) missing valuesMissing
세부업종명 has 469 (100.0%) missing valuesMissing
법인명 has 469 (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 157 (33.5%) zerosZeros

Reproduction

Analysis started2024-04-06 12:28:00.389950
Analysis finished2024-04-06 12:28:01.797105
Duration1.41 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
3060000
469 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3060000
2nd row3060000
3rd row3060000
4th row3060000
5th row3060000

Common Values

ValueCountFrequency (%)
3060000 469
100.0%

Length

2024-04-06T21:28:01.958147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:28:02.397436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 469
100.0%

관리번호
Text

UNIQUE 

Distinct469
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2024-04-06T21:28:02.795147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters9380
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

Unique469 ?
Unique (%)100.0%

Sample

1st rowCDFH3301081989000003
2nd rowCDFH3301081989000004
3rd rowCDFH3301081989000005
4th rowCDFH3301081989000006
5th rowCDFH3301081990000001
ValueCountFrequency (%)
cdfh3301081989000003 1
 
0.2%
cdfh3301082004000014 1
 
0.2%
cdfh3301082006000009 1
 
0.2%
cdfh3301082006000008 1
 
0.2%
cdfh3301082006000007 1
 
0.2%
cdfh3301082006000006 1
 
0.2%
cdfh3301082006000005 1
 
0.2%
cdfh3301082006000004 1
 
0.2%
cdfh3301082006000003 1
 
0.2%
cdfh3301082006000002 1
 
0.2%
Other values (459) 459
97.9%
2024-04-06T21:28:03.482076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3522
37.5%
3 1060
 
11.3%
1 952
 
10.1%
8 599
 
6.4%
9 529
 
5.6%
C 469
 
5.0%
D 469
 
5.0%
F 469
 
5.0%
H 469
 
5.0%
2 438
 
4.7%
Other values (4) 404
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7504
80.0%
Uppercase Letter 1876
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3522
46.9%
3 1060
 
14.1%
1 952
 
12.7%
8 599
 
8.0%
9 529
 
7.0%
2 438
 
5.8%
4 108
 
1.4%
6 105
 
1.4%
5 97
 
1.3%
7 94
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
C 469
25.0%
D 469
25.0%
F 469
25.0%
H 469
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7504
80.0%
Latin 1876
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3522
46.9%
3 1060
 
14.1%
1 952
 
12.7%
8 599
 
8.0%
9 529
 
7.0%
2 438
 
5.8%
4 108
 
1.4%
6 105
 
1.4%
5 97
 
1.3%
7 94
 
1.3%
Latin
ValueCountFrequency (%)
C 469
25.0%
D 469
25.0%
F 469
25.0%
H 469
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9380
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3522
37.5%
3 1060
 
11.3%
1 952
 
10.1%
8 599
 
6.4%
9 529
 
5.6%
C 469
 
5.0%
D 469
 
5.0%
F 469
 
5.0%
H 469
 
5.0%
2 438
 
4.7%
Other values (4) 404
 
4.3%

인허가일자
Date

Distinct431
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
Minimum1989-10-12 00:00:00
Maximum2024-04-04 00:00:00
2024-04-06T21:28:03.811462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:28:04.226914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing469
Missing (%)100.0%
Memory size4.3 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
3
324 
1
106 
4
39 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row4
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 324
69.1%
1 106
 
22.6%
4 39
 
8.3%

Length

2024-04-06T21:28:04.548072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:28:04.795336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 324
69.1%
1 106
 
22.6%
4 39
 
8.3%

영업상태명
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
폐업
324 
영업/정상
106 
취소/말소/만료/정지/중지
39 

Length

Max length14
Median length2
Mean length3.6759062
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 324
69.1%
영업/정상 106
 
22.6%
취소/말소/만료/정지/중지 39
 
8.3%

Length

2024-04-06T21:28:05.011082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:28:05.298804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 324
69.1%
영업/정상 106
 
22.6%
취소/말소/만료/정지/중지 39
 
8.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
3
324 
13
106 
35
39 

Length

Max length2
Median length1
Mean length1.3091684
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row35
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 324
69.1%
13 106
 
22.6%
35 39
 
8.3%

Length

2024-04-06T21:28:05.554084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:28:05.809449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 324
69.1%
13 106
 
22.6%
35 39
 
8.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
폐업
324 
영업중
106 
직권말소
39 

Length

Max length4
Median length2
Mean length2.3923241
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 324
69.1%
영업중 106
 
22.6%
직권말소 39
 
8.3%

Length

2024-04-06T21:28:06.063231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:28:06.300316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 324
69.1%
영업중 106
 
22.6%
직권말소 39
 
8.3%

폐업일자
Date

MISSING 

Distinct273
Distinct (%)75.2%
Missing106
Missing (%)22.6%
Memory size3.8 KiB
Minimum1997-02-04 00:00:00
Maximum2024-02-05 00:00:00
2024-04-06T21:28:06.535287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:28:06.822765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing469
Missing (%)100.0%
Memory size4.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing469
Missing (%)100.0%
Memory size4.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing469
Missing (%)100.0%
Memory size4.3 KiB

전화번호
Text

MISSING 

Distinct322
Distinct (%)97.6%
Missing139
Missing (%)29.6%
Memory size3.8 KiB
2024-04-06T21:28:07.401362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length8
Mean length8.3727273
Min length8

Characters and Unicode

Total characters2763
Distinct characters13
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

Unique316 ?
Unique (%)95.8%

Sample

1st row495-5834
2nd row2207-5328
3rd row433-5031
4th row493-2121
5th row496-8950
ValueCountFrequency (%)
436-5174 3
 
0.9%
438-2634 3
 
0.9%
432-5700 2
 
0.6%
437-6003 2
 
0.6%
3423-0382 2
 
0.6%
975-3615 2
 
0.6%
432-4576 1
 
0.3%
2207-6264 1
 
0.3%
439-3522 1
 
0.3%
494-5735 1
 
0.3%
Other values (312) 312
94.5%
2024-04-06T21:28:08.339792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 423
15.3%
- 351
12.7%
3 334
12.1%
9 309
11.2%
2 266
9.6%
0 227
8.2%
7 185
6.7%
5 180
6.5%
8 176
6.4%
6 154
 
5.6%
Other values (3) 158
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2408
87.2%
Dash Punctuation 351
 
12.7%
Other Punctuation 3
 
0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 423
17.6%
3 334
13.9%
9 309
12.8%
2 266
11.0%
0 227
9.4%
7 185
7.7%
5 180
7.5%
8 176
7.3%
6 154
 
6.4%
1 154
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 351
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2763
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 423
15.3%
- 351
12.7%
3 334
12.1%
9 309
11.2%
2 266
9.6%
0 227
8.2%
7 185
6.7%
5 180
6.5%
8 176
6.4%
6 154
 
5.6%
Other values (3) 158
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2763
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 423
15.3%
- 351
12.7%
3 334
12.1%
9 309
11.2%
2 266
9.6%
0 227
8.2%
7 185
6.7%
5 180
6.5%
8 176
6.4%
6 154
 
5.6%
Other values (3) 158
 
5.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing469
Missing (%)100.0%
Memory size4.3 KiB

소재지우편번호
Text

MISSING 

Distinct67
Distinct (%)16.4%
Missing61
Missing (%)13.0%
Memory size3.8 KiB
2024-04-06T21:28:08.879241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0196078
Min length6

Characters and Unicode

Total characters2456
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

Unique18 ?
Unique (%)4.4%

Sample

1st row131821
2nd row131830
3rd row131883
4th row131857
5th row131868
ValueCountFrequency (%)
131859 21
 
5.1%
131860 19
 
4.7%
131811 19
 
4.7%
131881 19
 
4.7%
131861 17
 
4.2%
131816 16
 
3.9%
131828 16
 
3.9%
131823 14
 
3.4%
131813 14
 
3.4%
131820 14
 
3.4%
Other values (57) 239
58.6%
2024-04-06T21:28:09.619372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 997
40.6%
8 483
19.7%
3 475
19.3%
2 122
 
5.0%
0 98
 
4.0%
6 85
 
3.5%
5 64
 
2.6%
7 48
 
2.0%
9 46
 
1.9%
4 30
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2448
99.7%
Dash Punctuation 8
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 997
40.7%
8 483
19.7%
3 475
19.4%
2 122
 
5.0%
0 98
 
4.0%
6 85
 
3.5%
5 64
 
2.6%
7 48
 
2.0%
9 46
 
1.9%
4 30
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2456
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 997
40.6%
8 483
19.7%
3 475
19.3%
2 122
 
5.0%
0 98
 
4.0%
6 85
 
3.5%
5 64
 
2.6%
7 48
 
2.0%
9 46
 
1.9%
4 30
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2456
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 997
40.6%
8 483
19.7%
3 475
19.3%
2 122
 
5.0%
0 98
 
4.0%
6 85
 
3.5%
5 64
 
2.6%
7 48
 
2.0%
9 46
 
1.9%
4 30
 
1.2%

지번주소
Text

MISSING 

Distinct415
Distinct (%)91.4%
Missing15
Missing (%)3.2%
Memory size3.8 KiB
2024-04-06T21:28:10.613949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length37
Mean length22.462555
Min length16

Characters and Unicode

Total characters10198
Distinct characters106
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique378 ?
Unique (%)83.3%

Sample

1st row서울특별시 중랑구 면목동 150-7번지
2nd row서울특별시 중랑구 면목동 372-1
3rd row서울특별시 중랑구 중화동 314-1번지
4th row서울특별시 중랑구 상봉동 74-1번지
5th row서울특별시 중랑구 신내동 495-7번지
ValueCountFrequency (%)
서울특별시 454
24.0%
중랑구 454
24.0%
면목동 203
 
10.7%
상봉동 77
 
4.1%
망우동 61
 
3.2%
중화동 47
 
2.5%
묵동 39
 
2.1%
신내동 27
 
1.4%
2층 9
 
0.5%
3층 8
 
0.4%
Other values (447) 515
27.2%
2024-04-06T21:28:11.584214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1804
17.7%
중 502
 
4.9%
동 460
 
4.5%
서 456
 
4.5%
시 455
 
4.5%
랑 454
 
4.5%
구 454
 
4.5%
울 454
 
4.5%
별 454
 
4.5%
특 454
 
4.5%
Other values (96) 4251
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5847
57.3%
Decimal Number 2079
 
20.4%
Space Separator 1804
 
17.7%
Dash Punctuation 438
 
4.3%
Open Punctuation 14
 
0.1%
Close Punctuation 14
 
0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 502
 
8.6%
동 460
 
7.9%
서 456
 
7.8%
시 455
 
7.8%
랑 454
 
7.8%
구 454
 
7.8%
울 454
 
7.8%
별 454
 
7.8%
특 454
 
7.8%
지 349
 
6.0%
Other values (81) 1355
23.2%
Decimal Number
ValueCountFrequency (%)
1 438
21.1%
2 252
12.1%
3 229
11.0%
4 222
10.7%
5 185
8.9%
0 177
8.5%
6 177
8.5%
7 145
 
7.0%
8 143
 
6.9%
9 111
 
5.3%
Space Separator
ValueCountFrequency (%)
1804
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 438
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5847
57.3%
Common 4349
42.6%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 502
 
8.6%
동 460
 
7.9%
서 456
 
7.8%
시 455
 
7.8%
랑 454
 
7.8%
구 454
 
7.8%
울 454
 
7.8%
별 454
 
7.8%
특 454
 
7.8%
지 349
 
6.0%
Other values (81) 1355
23.2%
Common
ValueCountFrequency (%)
1804
41.5%
- 438
 
10.1%
1 438
 
10.1%
2 252
 
5.8%
3 229
 
5.3%
4 222
 
5.1%
5 185
 
4.3%
0 177
 
4.1%
6 177
 
4.1%
7 145
 
3.3%
Other values (4) 282
 
6.5%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5847
57.3%
ASCII 4351
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1804
41.5%
- 438
 
10.1%
1 438
 
10.1%
2 252
 
5.8%
3 229
 
5.3%
4 222
 
5.1%
5 185
 
4.3%
0 177
 
4.1%
6 177
 
4.1%
7 145
 
3.3%
Other values (5) 284
 
6.5%
Hangul
ValueCountFrequency (%)
중 502
 
8.6%
동 460
 
7.9%
서 456
 
7.8%
시 455
 
7.8%
랑 454
 
7.8%
구 454
 
7.8%
울 454
 
7.8%
별 454
 
7.8%
특 454
 
7.8%
지 349
 
6.0%
Other values (81) 1355
23.2%

도로명주소
Text

MISSING 

Distinct398
Distinct (%)86.7%
Missing10
Missing (%)2.1%
Memory size3.8 KiB
2024-04-06T21:28:12.070668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length38
Mean length25.180828
Min length21

Characters and Unicode

Total characters11558
Distinct characters120
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique343 ?
Unique (%)74.7%

Sample

1st row서울특별시 중랑구 겸재로18길 3 (면목동)
2nd row서울특별시 중랑구 면목로 257 (면목동)
3rd row서울특별시 중랑구 동일로129길 35 (중화동)
4th row서울특별시 중랑구 송림길 1 (상봉동)
5th row서울특별시 중랑구 신내로 9 (신내동)
ValueCountFrequency (%)
서울특별시 459
19.3%
중랑구 459
19.3%
면목동 208
 
8.7%
상봉동 79
 
3.3%
망우동 61
 
2.6%
면목로 47
 
2.0%
중화동 45
 
1.9%
망우로 42
 
1.8%
용마산로 40
 
1.7%
묵동 39
 
1.6%
Other values (398) 905
38.0%
2024-04-06T21:28:12.788276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1959
 
16.9%
중 546
 
4.7%
동 535
 
4.6%
랑 494
 
4.3%
) 462
 
4.0%
( 462
 
4.0%
시 461
 
4.0%
서 460
 
4.0%
특 459
 
4.0%
별 459
 
4.0%
Other values (110) 5261
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6997
60.5%
Space Separator 1959
 
16.9%
Decimal Number 1581
 
13.7%
Close Punctuation 462
 
4.0%
Open Punctuation 462
 
4.0%
Other Punctuation 72
 
0.6%
Dash Punctuation 23
 
0.2%
Lowercase Letter 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 546
 
7.8%
동 535
 
7.6%
랑 494
 
7.1%
시 461
 
6.6%
서 460
 
6.6%
특 459
 
6.6%
별 459
 
6.6%
구 459
 
6.6%
울 459
 
6.6%
로 457
 
6.5%
Other values (93) 2208
31.6%
Decimal Number
ValueCountFrequency (%)
1 295
18.7%
2 202
12.8%
3 190
12.0%
4 175
11.1%
5 162
10.2%
9 129
8.2%
6 110
 
7.0%
0 108
 
6.8%
8 106
 
6.7%
7 104
 
6.6%
Space Separator
ValueCountFrequency (%)
1959
100.0%
Close Punctuation
ValueCountFrequency (%)
) 462
100.0%
Open Punctuation
ValueCountFrequency (%)
( 462
100.0%
Other Punctuation
ValueCountFrequency (%)
, 72
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6997
60.5%
Common 4559
39.4%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 546
 
7.8%
동 535
 
7.6%
랑 494
 
7.1%
시 461
 
6.6%
서 460
 
6.6%
특 459
 
6.6%
별 459
 
6.6%
구 459
 
6.6%
울 459
 
6.6%
로 457
 
6.5%
Other values (93) 2208
31.6%
Common
ValueCountFrequency (%)
1959
43.0%
) 462
 
10.1%
( 462
 
10.1%
1 295
 
6.5%
2 202
 
4.4%
3 190
 
4.2%
4 175
 
3.8%
5 162
 
3.6%
9 129
 
2.8%
6 110
 
2.4%
Other values (5) 413
 
9.1%
Latin
ValueCountFrequency (%)
b 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6997
60.5%
ASCII 4561
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1959
43.0%
) 462
 
10.1%
( 462
 
10.1%
1 295
 
6.5%
2 202
 
4.4%
3 190
 
4.2%
4 175
 
3.8%
5 162
 
3.6%
9 129
 
2.8%
6 110
 
2.4%
Other values (7) 415
 
9.1%
Hangul
ValueCountFrequency (%)
중 546
 
7.8%
동 535
 
7.6%
랑 494
 
7.1%
시 461
 
6.6%
서 460
 
6.6%
특 459
 
6.6%
별 459
 
6.6%
구 459
 
6.6%
울 459
 
6.6%
로 457
 
6.5%
Other values (93) 2208
31.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct161
Distinct (%)38.2%
Missing48
Missing (%)10.2%
Infinite0
Infinite (%)0.0%
Mean73905.109
Minimum2002
Maximum131883
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-04-06T21:28:13.063843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2002
5-th percentile2059
Q12153
median131806
Q3131831
95-th percentile131869
Maximum131883
Range129881
Interquartile range (IQR)129678

Descriptive statistics

Standard deviation64539.714
Coefficient of variation (CV)0.8732781
Kurtosis-1.9627781
Mean73905.109
Median Absolute Deviation (MAD)74
Skewness-0.21577275
Sum31114051
Variance4.1653746 × 109
MonotonicityNot monotonic
2024-04-06T21:28:13.480814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
131859 13
 
2.8%
131860 13
 
2.8%
131820 11
 
2.3%
131811 10
 
2.1%
131816 10
 
2.1%
131202 9
 
1.9%
131802 9
 
1.9%
131861 8
 
1.7%
2228 8
 
1.7%
131881 8
 
1.7%
Other values (151) 322
68.7%
(Missing) 48
 
10.2%
ValueCountFrequency (%)
2002 1
0.2%
2005 2
0.4%
2006 1
0.2%
2009 1
0.2%
2010 2
0.4%
2013 2
0.4%
2014 1
0.2%
2016 1
0.2%
2017 1
0.2%
2018 1
0.2%
ValueCountFrequency (%)
131883 2
 
0.4%
131882 2
 
0.4%
131881 8
1.7%
131880 2
 
0.4%
131879 1
 
0.2%
131878 2
 
0.4%
131877 1
 
0.2%
131876 1
 
0.2%
131872 2
 
0.4%
131869 1
 
0.2%

사업장명
Text

Distinct403
Distinct (%)85.9%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2024-04-06T21:28:14.048789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length4.8081023
Min length1

Characters and Unicode

Total characters2255
Distinct characters308
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique357 ?
Unique (%)76.1%

Sample

1st row은하
2nd row동신당구장
3rd row진주
4th row사나이
5th row샛별
ValueCountFrequency (%)
당구장 115
 
18.3%
당구클럽 31
 
4.9%
프로 6
 
1.0%
그린 6
 
1.0%
킹 6
 
1.0%
큐 6
 
1.0%
에이스 5
 
0.8%
당구나라 5
 
0.8%
특실 4
 
0.6%
sbs당구장 4
 
0.6%
Other values (376) 441
70.1%
2024-04-06T21:28:14.987854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 316
 
14.0%
당 313
 
13.9%
장 248
 
11.0%
160
 
7.1%
럽 54
 
2.4%
클 54
 
2.4%
스 41
 
1.8%
리 30
 
1.3%
이 29
 
1.3%
아 23
 
1.0%
Other values (298) 987
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1957
86.8%
Space Separator 160
 
7.1%
Uppercase Letter 73
 
3.2%
Decimal Number 36
 
1.6%
Lowercase Letter 22
 
1.0%
Other Punctuation 6
 
0.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 316
 
16.1%
당 313
 
16.0%
장 248
 
12.7%
럽 54
 
2.8%
클 54
 
2.8%
스 41
 
2.1%
리 30
 
1.5%
이 29
 
1.5%
아 23
 
1.2%
성 20
 
1.0%
Other values (256) 829
42.4%
Uppercase Letter
ValueCountFrequency (%)
S 13
17.8%
B 13
17.8%
I 7
9.6%
A 6
8.2%
P 4
 
5.5%
N 4
 
5.5%
V 4
 
5.5%
K 3
 
4.1%
M 3
 
4.1%
C 2
 
2.7%
Other values (10) 14
19.2%
Lowercase Letter
ValueCountFrequency (%)
l 6
27.3%
s 4
18.2%
i 2
 
9.1%
w 1
 
4.5%
o 1
 
4.5%
e 1
 
4.5%
y 1
 
4.5%
b 1
 
4.5%
k 1
 
4.5%
m 1
 
4.5%
Other values (3) 3
13.6%
Decimal Number
ValueCountFrequency (%)
2 14
38.9%
0 12
33.3%
4 5
 
13.9%
1 4
 
11.1%
6 1
 
2.8%
Other Punctuation
ValueCountFrequency (%)
. 5
83.3%
' 1
 
16.7%
Space Separator
ValueCountFrequency (%)
160
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1957
86.8%
Common 203
 
9.0%
Latin 95
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 316
 
16.1%
당 313
 
16.0%
장 248
 
12.7%
럽 54
 
2.8%
클 54
 
2.8%
스 41
 
2.1%
리 30
 
1.5%
이 29
 
1.5%
아 23
 
1.2%
성 20
 
1.0%
Other values (256) 829
42.4%
Latin
ValueCountFrequency (%)
S 13
13.7%
B 13
13.7%
I 7
 
7.4%
A 6
 
6.3%
l 6
 
6.3%
P 4
 
4.2%
s 4
 
4.2%
N 4
 
4.2%
V 4
 
4.2%
K 3
 
3.2%
Other values (23) 31
32.6%
Common
ValueCountFrequency (%)
160
78.8%
2 14
 
6.9%
0 12
 
5.9%
. 5
 
2.5%
4 5
 
2.5%
1 4
 
2.0%
+ 1
 
0.5%
6 1
 
0.5%
' 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1957
86.8%
ASCII 298
 
13.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 316
 
16.1%
당 313
 
16.0%
장 248
 
12.7%
럽 54
 
2.8%
클 54
 
2.8%
스 41
 
2.1%
리 30
 
1.5%
이 29
 
1.5%
아 23
 
1.2%
성 20
 
1.0%
Other values (256) 829
42.4%
ASCII
ValueCountFrequency (%)
160
53.7%
2 14
 
4.7%
S 13
 
4.4%
B 13
 
4.4%
0 12
 
4.0%
I 7
 
2.3%
A 6
 
2.0%
l 6
 
2.0%
. 5
 
1.7%
4 5
 
1.7%
Other values (32) 57
 
19.1%

최종수정일자
Date

Distinct440
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
Minimum2003-04-18 17:00:57
Maximum2024-04-04 17:27:15
2024-04-06T21:28:15.256364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:28:15.501662image/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 size3.8 KiB
I
323 
U
146 

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 323
68.9%
U 146
31.1%

Length

2024-04-06T21:28:15.744563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:28:15.933852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 323
68.9%
u 146
31.1%

데이터갱신일자
Date

Distinct97
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-06T21:28:16.128164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:28:16.390847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing469
Missing (%)100.0%
Memory size4.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct359
Distinct (%)77.7%
Missing7
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean207596.84
Minimum206285.91
Maximum209478.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-04-06T21:28:16.676284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206285.91
5-th percentile206623.9
Q1206870.77
median207626.34
Q3208206.49
95-th percentile208761.03
Maximum209478.48
Range3192.5648
Interquartile range (IQR)1335.7192

Descriptive statistics

Standard deviation736.43557
Coefficient of variation (CV)0.0035474315
Kurtosis-0.97579809
Mean207596.84
Median Absolute Deviation (MAD)672.10196
Skewness0.25076001
Sum95909741
Variance542337.35
MonotonicityNot monotonic
2024-04-06T21:28:16.975266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
206492.087474895 4
 
0.9%
206642.171095344 4
 
0.9%
208555.355763272 3
 
0.6%
206751.863318277 3
 
0.6%
208500.41409861 3
 
0.6%
208008.082257144 3
 
0.6%
206745.3156041 3
 
0.6%
207772.038532953 3
 
0.6%
206897.239901889 3
 
0.6%
207249.321744234 3
 
0.6%
Other values (349) 430
91.7%
(Missing) 7
 
1.5%
ValueCountFrequency (%)
206285.912434623 1
0.2%
206290.445840268 1
0.2%
206316.270834781 1
0.2%
206345.47354923 1
0.2%
206362.887474565 1
0.2%
206390.408395132 1
0.2%
206419.071508713 1
0.2%
206465.321541553 1
0.2%
206468.896114146 1
0.2%
206474.047423329 1
0.2%
ValueCountFrequency (%)
209478.477207992 1
0.2%
209447.332233451 2
0.4%
209394.785345905 1
0.2%
209328.971331242 1
0.2%
209210.830664866 1
0.2%
209144.070351808 1
0.2%
209083.646196172 1
0.2%
209006.848797065 2
0.4%
208937.569207442 1
0.2%
208895.636962269 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct359
Distinct (%)77.7%
Missing7
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean454552.15
Minimum452134.33
Maximum457183.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-04-06T21:28:17.431114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452134.33
5-th percentile452919.35
Q1453865.88
median454524.88
Q3455281.06
95-th percentile456606.39
Maximum457183.64
Range5049.305
Interquartile range (IQR)1415.1834

Descriptive statistics

Standard deviation1078.1927
Coefficient of variation (CV)0.0023719891
Kurtosis-0.27670356
Mean454552.15
Median Absolute Deviation (MAD)697.10483
Skewness0.19186534
Sum2.1000309 × 108
Variance1162499.6
MonotonicityNot monotonic
2024-04-06T21:28:17.774806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
454508.605124002 4
 
0.9%
454822.546432962 4
 
0.9%
454237.01753823 3
 
0.6%
453945.91883425 3
 
0.6%
456116.213868842 3
 
0.6%
454135.357006999 3
 
0.6%
454434.614373964 3
 
0.6%
454713.155015128 3
 
0.6%
456993.849504824 3
 
0.6%
454791.25900876 3
 
0.6%
Other values (349) 430
91.7%
(Missing) 7
 
1.5%
ValueCountFrequency (%)
452134.332757901 1
0.2%
452153.414412476 1
0.2%
452160.826169813 1
0.2%
452218.427242593 2
0.4%
452228.650626046 2
0.4%
452325.858761714 1
0.2%
452454.938575965 2
0.4%
452476.697093769 1
0.2%
452551.742749755 1
0.2%
452612.838793228 1
0.2%
ValueCountFrequency (%)
457183.637796144 1
 
0.2%
457150.626367535 1
 
0.2%
457058.833608079 2
0.4%
457021.162035231 2
0.4%
457011.632629502 1
 
0.2%
456995.441709842 1
 
0.2%
456993.849504824 3
0.6%
456922.417818585 1
 
0.2%
456855.134478693 1
 
0.2%
456754.488552522 1
 
0.2%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
당구장업
376 
<NA>
93 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
당구장업 376
80.2%
<NA> 93
 
19.8%

Length

2024-04-06T21:28:18.046710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:28:18.266480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 376
80.2%
na 93
 
19.8%

공사립구분명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
사립
376 
<NA>
93 

Length

Max length4
Median length2
Mean length2.3965885
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 376
80.2%
<NA> 93
 
19.8%

Length

2024-04-06T21:28:18.990422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:28:19.263670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 376
80.2%
na 93
 
19.8%

보험가입여부코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
<NA>
461 
0
 
8

Length

Max length4
Median length4
Mean length3.9488273
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> 461
98.3%
0 8
 
1.7%

Length

2024-04-06T21:28:19.487206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:28:19.689257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 461
98.3%
0 8
 
1.7%

지도자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
<NA>
424 
0
45 

Length

Max length4
Median length4
Mean length3.7121535
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> 424
90.4%
0 45
 
9.6%

Length

2024-04-06T21:28:19.933974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:28:20.183043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 424
90.4%
0 45
 
9.6%

건축물동수
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
<NA>
297 
0
158 
1
 
12
2
 
1
3
 
1

Length

Max length4
Median length4
Mean length2.8997868
Min length1

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 297
63.3%
0 158
33.7%
1 12
 
2.6%
2 1
 
0.2%
3 1
 
0.2%

Length

2024-04-06T21:28:20.457578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:28:20.711235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 297
63.3%
0 158
33.7%
1 12
 
2.6%
2 1
 
0.2%
3 1
 
0.2%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct36
Distinct (%)18.7%
Missing276
Missing (%)58.8%
Infinite0
Infinite (%)0.0%
Mean299.75487
Minimum0
Maximum21751.81
Zeros157
Zeros (%)33.5%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-04-06T21:28:20.972715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1372.54
Maximum21751.81
Range21751.81
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1669.1362
Coefficient of variation (CV)5.5683374
Kurtosis143.9943
Mean299.75487
Median Absolute Deviation (MAD)0
Skewness11.366306
Sum57852.69
Variance2786015.8
MonotonicityNot monotonic
2024-04-06T21:28:21.242154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0.0 157
33.5%
130.5 2
 
0.4%
263.78 1
 
0.2%
299.0 1
 
0.2%
881.89 1
 
0.2%
1390.0 1
 
0.2%
21751.81 1
 
0.2%
2648.07 1
 
0.2%
964.3 1
 
0.2%
977.28 1
 
0.2%
Other values (26) 26
 
5.5%
(Missing) 276
58.8%
ValueCountFrequency (%)
0.0 157
33.5%
108.0 1
 
0.2%
128.0 1
 
0.2%
130.5 2
 
0.4%
142.8 1
 
0.2%
146.25 1
 
0.2%
148.0 1
 
0.2%
160.32 1
 
0.2%
163.9 1
 
0.2%
166.56 1
 
0.2%
ValueCountFrequency (%)
21751.81 1
0.2%
4852.05 1
0.2%
3308.69 1
0.2%
2648.07 1
0.2%
2386.93 1
0.2%
2358.67 1
0.2%
2236.9 1
0.2%
2077.4 1
0.2%
1841.39 1
0.2%
1390.0 1
0.2%

회원모집총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
<NA>
454 
0
 
15

Length

Max length4
Median length4
Mean length3.9040512
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> 454
96.8%
0 15
 
3.2%

Length

2024-04-06T21:28:21.489057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:28:21.756832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 454
96.8%
0 15
 
3.2%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing469
Missing (%)100.0%
Memory size4.3 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing469
Missing (%)100.0%
Memory size4.3 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03060000CDFH330108198900000319891012<NA>1영업/정상13영업중<NA><NA><NA><NA>495-5834<NA>131821서울특별시 중랑구 면목동 150-7번지서울특별시 중랑구 겸재로18길 3 (면목동)2215은하2011-11-17 17:02:33I2018-08-31 23:59:59.0<NA>207073.499282453813.827836당구장업사립<NA><NA><NA><NA><NA><NA><NA>
13060000CDFH330108198900000419891212<NA>4취소/말소/만료/정지/중지35직권말소20220627<NA><NA><NA>2207-5328<NA>131830서울특별시 중랑구 면목동 372-1서울특별시 중랑구 면목로 257 (면목동)2244동신당구장2022-06-30 11:24:32U2021-12-07 00:02:00.0<NA>207492.178639452612.838793<NA><NA><NA><NA><NA><NA><NA><NA><NA>
23060000CDFH330108198900000519891214<NA>3폐업3폐업20000622<NA><NA><NA>433-5031<NA>131883서울특별시 중랑구 중화동 314-1번지서울특별시 중랑구 동일로129길 35 (중화동)131883진주2011-11-17 16:59:16I2018-08-31 23:59:59.0<NA>206771.217306455221.989517당구장업사립<NA><NA>00.0<NA><NA><NA>
33060000CDFH330108198900000619891222<NA>3폐업3폐업19980909<NA><NA><NA>493-2121<NA>131857서울특별시 중랑구 상봉동 74-1번지서울특별시 중랑구 송림길 1 (상봉동)131857사나이2011-11-17 16:58:15I2018-08-31 23:59:59.0<NA>208327.469758455189.108329당구장업사립<NA><NA>00.0<NA><NA><NA>
43060000CDFH330108199000000119900930<NA>3폐업3폐업20000523<NA><NA><NA>496-8950<NA>131868서울특별시 중랑구 신내동 495-7번지서울특별시 중랑구 신내로 9 (신내동)131868샛별2011-11-17 16:57:11I2018-08-31 23:59:59.0<NA>208479.387967455297.212432당구장업사립<NA><NA>00.0<NA><NA><NA>
53060000CDFH330108199200000219920528<NA>3폐업3폐업19990618<NA><NA><NA>494-6835<NA>131811서울특별시 중랑구 면목동 20-51번지서울특별시 중랑구 용마산로 409 (면목동)<NA>서일2003-04-18 17:00:57I2018-08-31 23:59:59.0<NA>208400.847656453990.227247당구장업사립<NA>000.0<NA><NA><NA>
63060000CDFH330108199200000319920611<NA>3폐업3폐업19990406<NA><NA><NA><NA><NA>131804서울특별시 중랑구 망우동 355-40번지서울특별시 중랑구 망우로71길 35 (망우동)<NA>이천당구장2003-04-18 17:00:57I2018-08-31 23:59:59.0<NA>208937.569207455527.0523당구장업사립<NA>000.0<NA><NA><NA>
73060000CDFH330108199200000419920718<NA>3폐업3폐업20080501<NA><NA><NA>493-4652<NA>131814서울특별시 중랑구 면목동 67-1번지서울특별시 중랑구 상봉로 3 (면목동)131839경성2011-11-17 16:53:45I2018-08-31 23:59:59.0<NA>208278.137152453761.158566당구장업사립<NA><NA><NA><NA><NA><NA><NA>
83060000CDFH330108199200000519921207<NA>3폐업3폐업20000504<NA><NA><NA>437-9677<NA>131829서울특별시 중랑구 면목동 399-22번지서울특별시 중랑구 답십리로 373 (면목동)131829원일2011-11-17 16:52:53I2018-08-31 23:59:59.0<NA>207164.417586452153.414412당구장업사립<NA><NA>00.0<NA><NA><NA>
93060000CDFH330108199300000219930311<NA>3폐업3폐업20200103<NA><NA><NA>435-0513<NA>131834서울특별시 중랑구 면목동 536-7번지서울특별시 중랑구 사가정로 412-6 (면목동)2250대우2020-01-03 10:36:30U2020-01-05 02:40:00.0<NA>207903.497046453105.836684당구장업사립<NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
4593060000CDFH330108202100000620211215<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 신내동 454-4서울특별시 중랑구 신내로14길 26, 3층 (신내동)2069원당구클럽2021-12-15 13:06:05I2021-12-17 00:22:42.0<NA>208501.986408455922.647785당구장업사립<NA>011347.770<NA><NA>
4603060000CDFH33010820220000012022-06-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 망우동 470-6 광명빌딩서울특별시 중랑구 용마산로115길 30, 광명빌딩 3층 (망우동)2164큐당구장2023-03-06 13:41:05U2022-12-03 00:08:00.0<NA>208641.396439455187.101948<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4613060000CDFH330108202200000220221111<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 중화동 314-1 태능에셈빌서울특별시 중랑구 동일로129길 35, 1층 (중화동, 태능에셈빌)2104이원 당구장2022-11-11 14:06:12I2021-10-31 23:03:00.0<NA>206771.217306455221.989517<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4623060000CDFH33010820230000012023-01-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 망우동 572 용마프라자 201호서울특별시 중랑구 봉우재로71길 18 (망우동, 용마프라자)2167우림 당구장2024-03-11 09:03:02U2023-12-02 23:03:00.0<NA>208658.077733454894.79022<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4633060000CDFH33010820230000022023-04-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 596-4서울특별시 중랑구 사가정로51길 21, 3층 (면목동)2228허브당구장2023-04-10 17:40:10I2022-12-03 23:02:00.0<NA>207688.51877453291.972058<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4643060000CDFH33010820230000032023-04-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 상봉동 128-85 재정빌딩서울특별시 중랑구 망우로 240, 재정빌딩 3층 301호 (상봉동)2122미니 당구클럽2023-04-27 15:33:55I2022-12-03 22:09:00.0<NA>206936.762871454686.968191<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4653060000CDFH33010820230000042023-04-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 상봉동 202-1서울특별시 중랑구 상봉중앙로1길 12, 지하층 (상봉동)2091유진 당구클럽2023-04-27 15:34:07I2022-12-03 22:09:00.0<NA>207651.411968455258.026075<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4663060000CDFH33010820240000012024-02-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 177-36 한신독서실서울특별시 중랑구 동일로99길 47, 한신독서실 지하1층 (면목동)2134한큐 당구장2024-02-14 10:39:38I2023-12-01 23:06:00.0<NA>206751.863318453945.918834<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4673060000CDFH33010820240000022024-03-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 392-19 이원빌딩서울특별시 중랑구 면목로 216, 이원빌딩 지하층 (면목동)2255그린 당구클럽2024-03-13 09:59:40I2023-12-02 23:06:00.0<NA>207343.294992452228.650626<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4683060000CDFH33010820240000032024-04-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 중화동 304-38 세원빌딩서울특별시 중랑구 중랑역로 76, 세원빌딩 3층 (중화동)2102파도 당구장2024-04-04 17:27:15I2023-12-04 00:06:00.0<NA>206842.431237455324.874063<NA><NA><NA><NA><NA><NA><NA><NA><NA>