Overview

Dataset statistics

Number of variables34
Number of observations371
Missing cells3751
Missing cells (%)29.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory105.6 KiB
Average record size in memory291.4 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
Author동작구
URLhttps://data.seoul.go.kr/dataList/OA-19646/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화체육업종명 is highly imbalanced (72.0%)Imbalance
공사립구분명 is highly imbalanced (80.6%)Imbalance
회원모집총인원 is highly imbalanced (97.3%)Imbalance
인허가취소일자 has 371 (100.0%) missing valuesMissing
폐업일자 has 70 (18.9%) missing valuesMissing
휴업시작일자 has 371 (100.0%) missing valuesMissing
휴업종료일자 has 371 (100.0%) missing valuesMissing
재개업일자 has 371 (100.0%) missing valuesMissing
전화번호 has 76 (20.5%) missing valuesMissing
소재지면적 has 371 (100.0%) missing valuesMissing
소재지우편번호 has 45 (12.1%) missing valuesMissing
도로명주소 has 44 (11.9%) missing valuesMissing
도로명우편번호 has 304 (81.9%) missing valuesMissing
업태구분명 has 371 (100.0%) missing valuesMissing
좌표정보(X) has 30 (8.1%) missing valuesMissing
좌표정보(Y) has 30 (8.1%) missing valuesMissing
건축물연면적 has 182 (49.1%) missing valuesMissing
세부업종명 has 371 (100.0%) missing valuesMissing
법인명 has 371 (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 116 (31.3%) zerosZeros

Reproduction

Analysis started2024-05-11 07:08:52.478185
Analysis finished2024-05-11 07:08:53.068122
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
3190000
371 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3190000
2nd row3190000
3rd row3190000
4th row3190000
5th row3190000

Common Values

ValueCountFrequency (%)
3190000 371
100.0%

Length

2024-05-11T16:08:53.135225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:08:53.236972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3190000 371
100.0%

관리번호
Text

UNIQUE 

Distinct371
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-05-11T16:08:53.416728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters7420
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

Unique371 ?
Unique (%)100.0%

Sample

1st rowCDFH3301081989000003
2nd rowCDFH3301081989000004
3rd rowCDFH3301081989000005
4th rowCDFH3301081989000006
5th rowCDFH3301081989000008
ValueCountFrequency (%)
cdfh3301081989000003 1
 
0.3%
cdfh3301082005000003 1
 
0.3%
cdfh3301082007000003 1
 
0.3%
cdfh3301082007000002 1
 
0.3%
cdfh3301082007000001 1
 
0.3%
cdfh3301082006000006 1
 
0.3%
cdfh3301082006000005 1
 
0.3%
cdfh3301082006000004 1
 
0.3%
cdfh3301082006000003 1
 
0.3%
cdfh3301082006000002 1
 
0.3%
Other values (361) 361
97.3%
2024-05-11T16:08:53.748291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2779
37.5%
3 826
 
11.1%
1 785
 
10.6%
8 476
 
6.4%
9 458
 
6.2%
C 371
 
5.0%
D 371
 
5.0%
F 371
 
5.0%
H 371
 
5.0%
2 311
 
4.2%
Other values (4) 301
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5936
80.0%
Uppercase Letter 1484
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2779
46.8%
3 826
 
13.9%
1 785
 
13.2%
8 476
 
8.0%
9 458
 
7.7%
2 311
 
5.2%
7 86
 
1.4%
6 75
 
1.3%
4 74
 
1.2%
5 66
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 371
25.0%
D 371
25.0%
F 371
25.0%
H 371
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5936
80.0%
Latin 1484
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2779
46.8%
3 826
 
13.9%
1 785
 
13.2%
8 476
 
8.0%
9 458
 
7.7%
2 311
 
5.2%
7 86
 
1.4%
6 75
 
1.3%
4 74
 
1.2%
5 66
 
1.1%
Latin
ValueCountFrequency (%)
C 371
25.0%
D 371
25.0%
F 371
25.0%
H 371
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2779
37.5%
3 826
 
11.1%
1 785
 
10.6%
8 476
 
6.4%
9 458
 
6.2%
C 371
 
5.0%
D 371
 
5.0%
F 371
 
5.0%
H 371
 
5.0%
2 311
 
4.2%
Other values (4) 301
 
4.1%

인허가일자
Date

Distinct331
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum1989-12-26 00:00:00
Maximum2023-06-21 00:00:00
2024-05-11T16:08:53.898761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:08:54.061031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing371
Missing (%)100.0%
Memory size3.4 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
3
235 
1
70 
4
66 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 235
63.3%
1 70
 
18.9%
4 66
 
17.8%

Length

2024-05-11T16:08:54.184030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:08:54.285403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 235
63.3%
1 70
 
18.9%
4 66
 
17.8%

영업상태명
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
폐업
235 
영업/정상
70 
취소/말소/만료/정지/중지
66 

Length

Max length14
Median length2
Mean length4.7008086
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 235
63.3%
영업/정상 70
 
18.9%
취소/말소/만료/정지/중지 66
 
17.8%

Length

2024-05-11T16:08:54.421194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:08:54.522273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 235
63.3%
영업/정상 70
 
18.9%
취소/말소/만료/정지/중지 66
 
17.8%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
3
235 
13
70 
35
66 

Length

Max length2
Median length1
Mean length1.3665768
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 235
63.3%
13 70
 
18.9%
35 66
 
17.8%

Length

2024-05-11T16:08:54.623636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:08:54.717074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 235
63.3%
13 70
 
18.9%
35 66
 
17.8%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
폐업
235 
영업중
70 
직권말소
66 

Length

Max length4
Median length2
Mean length2.5444744
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 235
63.3%
영업중 70
 
18.9%
직권말소 66
 
17.8%

Length

2024-05-11T16:08:54.826119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:08:54.960334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 235
63.3%
영업중 70
 
18.9%
직권말소 66
 
17.8%

폐업일자
Date

MISSING 

Distinct229
Distinct (%)76.1%
Missing70
Missing (%)18.9%
Memory size3.0 KiB
Minimum1997-07-28 00:00:00
Maximum2024-01-12 00:00:00
2024-05-11T16:08:55.074329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:08:55.191183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing371
Missing (%)100.0%
Memory size3.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing371
Missing (%)100.0%
Memory size3.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing371
Missing (%)100.0%
Memory size3.4 KiB

전화번호
Text

MISSING 

Distinct291
Distinct (%)98.6%
Missing76
Missing (%)20.5%
Memory size3.0 KiB
2024-05-11T16:08:55.464649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.3254237
Min length8

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

Unique287 ?
Unique (%)97.3%

Sample

1st row812-7613
2nd row812-4593
3rd row814-4891
4th row813-6629
5th row813-5343
ValueCountFrequency (%)
532-5344 2
 
0.7%
813-7766 2
 
0.7%
826-3112 2
 
0.7%
825-0401 2
 
0.7%
814-4305 1
 
0.3%
823-8195 1
 
0.3%
823-6435 1
 
0.3%
070-8980-7609 1
 
0.3%
814-5281 1
 
0.3%
824-5446 1
 
0.3%
Other values (281) 281
95.3%
2024-05-11T16:08:55.863093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 360
14.7%
- 316
12.9%
2 270
11.0%
1 237
9.6%
3 231
9.4%
4 204
8.3%
5 199
8.1%
7 164
6.7%
6 163
6.6%
0 160
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2140
87.1%
Dash Punctuation 316
 
12.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 360
16.8%
2 270
12.6%
1 237
11.1%
3 231
10.8%
4 204
9.5%
5 199
9.3%
7 164
7.7%
6 163
7.6%
0 160
7.5%
9 152
7.1%
Dash Punctuation
ValueCountFrequency (%)
- 316
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2456
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 360
14.7%
- 316
12.9%
2 270
11.0%
1 237
9.6%
3 231
9.4%
4 204
8.3%
5 199
8.1%
7 164
6.7%
6 163
6.6%
0 160
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2456
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 360
14.7%
- 316
12.9%
2 270
11.0%
1 237
9.6%
3 231
9.4%
4 204
8.3%
5 199
8.1%
7 164
6.7%
6 163
6.6%
0 160
6.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing371
Missing (%)100.0%
Memory size3.4 KiB

소재지우편번호
Text

MISSING 

Distinct68
Distinct (%)20.9%
Missing45
Missing (%)12.1%
Memory size3.0 KiB
2024-05-11T16:08:56.129801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0153374
Min length6

Characters and Unicode

Total characters1961
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

Unique23 ?
Unique (%)7.1%

Sample

1st row156031
2nd row156861
3rd row156861
4th row156859
5th row156810
ValueCountFrequency (%)
156801 25
 
7.7%
156030 19
 
5.8%
156860 17
 
5.2%
156800 15
 
4.6%
156816 15
 
4.6%
156881 14
 
4.3%
156861 13
 
4.0%
156811 11
 
3.4%
156031 10
 
3.1%
156847 9
 
2.8%
Other values (58) 178
54.6%
2024-05-11T16:08:56.476611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 467
23.8%
6 387
19.7%
5 359
18.3%
8 315
16.1%
0 183
 
9.3%
3 81
 
4.1%
4 58
 
3.0%
2 45
 
2.3%
7 38
 
1.9%
9 23
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1956
99.7%
Dash Punctuation 5
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 467
23.9%
6 387
19.8%
5 359
18.4%
8 315
16.1%
0 183
 
9.4%
3 81
 
4.1%
4 58
 
3.0%
2 45
 
2.3%
7 38
 
1.9%
9 23
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1961
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 467
23.8%
6 387
19.7%
5 359
18.3%
8 315
16.1%
0 183
 
9.3%
3 81
 
4.1%
4 58
 
3.0%
2 45
 
2.3%
7 38
 
1.9%
9 23
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1961
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 467
23.8%
6 387
19.7%
5 359
18.3%
8 315
16.1%
0 183
 
9.3%
3 81
 
4.1%
4 58
 
3.0%
2 45
 
2.3%
7 38
 
1.9%
9 23
 
1.2%

지번주소
Text

Distinct355
Distinct (%)96.2%
Missing2
Missing (%)0.5%
Memory size3.0 KiB
2024-05-11T16:08:56.827137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length41
Mean length24.588076
Min length17

Characters and Unicode

Total characters9073
Distinct characters99
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

Unique341 ?
Unique (%)92.4%

Sample

1st row서울특별시 동작구 상도1동 113-1번지 2
2nd row서울특별시 동작구 상도동 503번지 1층
3rd row서울특별시 동작구 상도동 501-2번지
4th row서울특별시 동작구 흑석동 182-7번지
5th row서울특별시 동작구 흑석동 183-5번지
ValueCountFrequency (%)
서울특별시 369
22.0%
동작구 369
22.0%
상도동 102
 
6.1%
사당동 77
 
4.6%
노량진동 65
 
3.9%
흑석동 44
 
2.6%
신대방동 43
 
2.6%
지층 37
 
2.2%
2층 27
 
1.6%
3층 27
 
1.6%
Other values (371) 516
30.8%
2024-05-11T16:08:57.348233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1656
18.3%
동 743
 
8.2%
지 423
 
4.7%
1 422
 
4.7%
작 371
 
4.1%
서 369
 
4.1%
구 369
 
4.1%
울 369
 
4.1%
시 369
 
4.1%
별 369
 
4.1%
Other values (89) 3613
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5260
58.0%
Decimal Number 1781
 
19.6%
Space Separator 1656
 
18.3%
Dash Punctuation 342
 
3.8%
Other Punctuation 13
 
0.1%
Close Punctuation 8
 
0.1%
Open Punctuation 8
 
0.1%
Uppercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 743
14.1%
지 423
 
8.0%
작 371
 
7.1%
서 369
 
7.0%
구 369
 
7.0%
울 369
 
7.0%
시 369
 
7.0%
별 369
 
7.0%
특 369
 
7.0%
번 341
 
6.5%
Other values (73) 1168
22.2%
Decimal Number
ValueCountFrequency (%)
1 422
23.7%
3 226
12.7%
2 215
12.1%
4 167
 
9.4%
5 156
 
8.8%
0 140
 
7.9%
8 120
 
6.7%
9 113
 
6.3%
7 111
 
6.2%
6 111
 
6.2%
Space Separator
ValueCountFrequency (%)
1656
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 342
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5260
58.0%
Common 3808
42.0%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 743
14.1%
지 423
 
8.0%
작 371
 
7.1%
서 369
 
7.0%
구 369
 
7.0%
울 369
 
7.0%
시 369
 
7.0%
별 369
 
7.0%
특 369
 
7.0%
번 341
 
6.5%
Other values (73) 1168
22.2%
Common
ValueCountFrequency (%)
1656
43.5%
1 422
 
11.1%
- 342
 
9.0%
3 226
 
5.9%
2 215
 
5.6%
4 167
 
4.4%
5 156
 
4.1%
0 140
 
3.7%
8 120
 
3.2%
9 113
 
3.0%
Other values (5) 251
 
6.6%
Latin
ValueCountFrequency (%)
B 5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5260
58.0%
ASCII 3813
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1656
43.4%
1 422
 
11.1%
- 342
 
9.0%
3 226
 
5.9%
2 215
 
5.6%
4 167
 
4.4%
5 156
 
4.1%
0 140
 
3.7%
8 120
 
3.1%
9 113
 
3.0%
Other values (6) 256
 
6.7%
Hangul
ValueCountFrequency (%)
동 743
14.1%
지 423
 
8.0%
작 371
 
7.1%
서 369
 
7.0%
구 369
 
7.0%
울 369
 
7.0%
시 369
 
7.0%
별 369
 
7.0%
특 369
 
7.0%
번 341
 
6.5%
Other values (73) 1168
22.2%

도로명주소
Text

MISSING 

Distinct323
Distinct (%)98.8%
Missing44
Missing (%)11.9%
Memory size3.0 KiB
2024-05-11T16:08:57.669836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length48
Mean length28.168196
Min length22

Characters and Unicode

Total characters9211
Distinct characters123
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

Unique319 ?
Unique (%)97.6%

Sample

1st row서울특별시 동작구 상도로63길 15, 1층 (상도동)
2nd row서울특별시 동작구 사당로 6-1 (상도동)
3rd row서울특별시 동작구 흑석로 110-1 (흑석동)
4th row서울특별시 동작구 흑석로 94 (흑석동)
5th row서울특별시 동작구 서달로 158 (흑석동,98-1)
ValueCountFrequency (%)
서울특별시 327
19.0%
동작구 327
19.0%
상도동 55
 
3.2%
사당동 44
 
2.6%
노량진동 36
 
2.1%
노량진로 27
 
1.6%
흑석동 27
 
1.6%
상도로 26
 
1.5%
사당로 26
 
1.5%
신대방동 26
 
1.5%
Other values (355) 801
46.5%
2024-05-11T16:08:58.108772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1593
 
17.3%
동 693
 
7.5%
작 361
 
3.9%
서 341
 
3.7%
) 334
 
3.6%
( 334
 
3.6%
시 330
 
3.6%
별 327
 
3.6%
울 327
 
3.6%
특 327
 
3.6%
Other values (113) 4244
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5475
59.4%
Space Separator 1593
 
17.3%
Decimal Number 1248
 
13.5%
Close Punctuation 334
 
3.6%
Open Punctuation 334
 
3.6%
Other Punctuation 190
 
2.1%
Dash Punctuation 28
 
0.3%
Uppercase Letter 5
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 693
 
12.7%
작 361
 
6.6%
서 341
 
6.2%
시 330
 
6.0%
별 327
 
6.0%
울 327
 
6.0%
특 327
 
6.0%
구 327
 
6.0%
로 316
 
5.8%
길 160
 
2.9%
Other values (96) 1966
35.9%
Decimal Number
ValueCountFrequency (%)
1 319
25.6%
2 224
17.9%
3 131
10.5%
4 103
 
8.3%
6 101
 
8.1%
5 88
 
7.1%
0 82
 
6.6%
8 73
 
5.8%
9 64
 
5.1%
7 63
 
5.0%
Space Separator
ValueCountFrequency (%)
1593
100.0%
Close Punctuation
ValueCountFrequency (%)
) 334
100.0%
Open Punctuation
ValueCountFrequency (%)
( 334
100.0%
Other Punctuation
ValueCountFrequency (%)
, 190
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5475
59.4%
Common 3731
40.5%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 693
 
12.7%
작 361
 
6.6%
서 341
 
6.2%
시 330
 
6.0%
별 327
 
6.0%
울 327
 
6.0%
특 327
 
6.0%
구 327
 
6.0%
로 316
 
5.8%
길 160
 
2.9%
Other values (96) 1966
35.9%
Common
ValueCountFrequency (%)
1593
42.7%
) 334
 
9.0%
( 334
 
9.0%
1 319
 
8.5%
2 224
 
6.0%
, 190
 
5.1%
3 131
 
3.5%
4 103
 
2.8%
6 101
 
2.7%
5 88
 
2.4%
Other values (6) 314
 
8.4%
Latin
ValueCountFrequency (%)
B 5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5475
59.4%
ASCII 3736
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1593
42.6%
) 334
 
8.9%
( 334
 
8.9%
1 319
 
8.5%
2 224
 
6.0%
, 190
 
5.1%
3 131
 
3.5%
4 103
 
2.8%
6 101
 
2.7%
5 88
 
2.4%
Other values (7) 319
 
8.5%
Hangul
ValueCountFrequency (%)
동 693
 
12.7%
작 361
 
6.6%
서 341
 
6.2%
시 330
 
6.0%
별 327
 
6.0%
울 327
 
6.0%
특 327
 
6.0%
구 327
 
6.0%
로 316
 
5.8%
길 160
 
2.9%
Other values (96) 1966
35.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)68.7%
Missing304
Missing (%)81.9%
Infinite0
Infinite (%)0.0%
Mean15936.254
Minimum6902
Maximum156838
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-05-11T16:08:58.253657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6902
5-th percentile6910
Q16950
median7006
Q37041.5
95-th percentile111891.8
Maximum156838
Range149936
Interquartile range (IQR)91.5

Descriptive statistics

Standard deviation35769.612
Coefficient of variation (CV)2.2445433
Kurtosis12.840069
Mean15936.254
Median Absolute Deviation (MAD)50
Skewness3.8022989
Sum1067729
Variance1.2794651 × 109
MonotonicityNot monotonic
2024-05-11T16:08:58.394743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
7027 5
 
1.3%
7071 4
 
1.1%
6979 3
 
0.8%
6910 3
 
0.8%
7011 2
 
0.5%
6949 2
 
0.5%
7060 2
 
0.5%
6950 2
 
0.5%
6973 2
 
0.5%
7033 2
 
0.5%
Other values (36) 40
 
10.8%
(Missing) 304
81.9%
ValueCountFrequency (%)
6902 1
 
0.3%
6909 1
 
0.3%
6910 3
0.8%
6913 1
 
0.3%
6916 1
 
0.3%
6917 1
 
0.3%
6921 1
 
0.3%
6925 2
0.5%
6927 1
 
0.3%
6928 1
 
0.3%
ValueCountFrequency (%)
156838 1
 
0.3%
156836 1
 
0.3%
156827 1
 
0.3%
156815 1
 
0.3%
7071 4
1.1%
7070 1
 
0.3%
7060 2
0.5%
7059 1
 
0.3%
7058 1
 
0.3%
7057 1
 
0.3%

사업장명
Text

Distinct310
Distinct (%)83.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-05-11T16:08:58.666400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length4.4150943
Min length1

Characters and Unicode

Total characters1638
Distinct characters280
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

Unique267 ?
Unique (%)72.0%

Sample

1st row특실
2nd row허리우드(당구장)
3rd row백마
4th row조화
5th row화림(당구장)
ValueCountFrequency (%)
당구장 60
 
12.6%
당구클럽 20
 
4.2%
허리우드 6
 
1.3%
프로 5
 
1.1%
스타 5
 
1.1%
큐 4
 
0.8%
에이스 4
 
0.8%
스포츠 4
 
0.8%
황금볼 4
 
0.8%
드림당구장 4
 
0.8%
Other values (290) 359
75.6%
2024-05-11T16:08:59.075023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 170
 
10.4%
당 166
 
10.1%
장 125
 
7.6%
104
 
6.3%
스 54
 
3.3%
클 33
 
2.0%
럽 33
 
2.0%
리 28
 
1.7%
드 28
 
1.7%
S 23
 
1.4%
Other values (270) 874
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1343
82.0%
Space Separator 104
 
6.3%
Uppercase Letter 86
 
5.3%
Lowercase Letter 62
 
3.8%
Other Punctuation 22
 
1.3%
Decimal Number 15
 
0.9%
Dash Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 170
 
12.7%
당 166
 
12.4%
장 125
 
9.3%
스 54
 
4.0%
클 33
 
2.5%
럽 33
 
2.5%
리 28
 
2.1%
드 28
 
2.1%
이 21
 
1.6%
아 20
 
1.5%
Other values (218) 665
49.5%
Uppercase Letter
ValueCountFrequency (%)
S 23
26.7%
B 13
15.1%
O 5
 
5.8%
P 5
 
5.8%
M 4
 
4.7%
W 4
 
4.7%
G 3
 
3.5%
K 3
 
3.5%
V 3
 
3.5%
I 3
 
3.5%
Other values (11) 20
23.3%
Lowercase Letter
ValueCountFrequency (%)
e 11
17.7%
l 7
11.3%
i 7
11.3%
a 6
9.7%
r 6
9.7%
n 4
 
6.5%
d 3
 
4.8%
u 3
 
4.8%
b 3
 
4.8%
s 3
 
4.8%
Other values (6) 9
14.5%
Decimal Number
ValueCountFrequency (%)
0 5
33.3%
2 2
 
13.3%
9 2
 
13.3%
3 2
 
13.3%
7 1
 
6.7%
5 1
 
6.7%
1 1
 
6.7%
4 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 20
90.9%
& 1
 
4.5%
' 1
 
4.5%
Space Separator
ValueCountFrequency (%)
104
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1343
82.0%
Latin 148
 
9.0%
Common 147
 
9.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 170
 
12.7%
당 166
 
12.4%
장 125
 
9.3%
스 54
 
4.0%
클 33
 
2.5%
럽 33
 
2.5%
리 28
 
2.1%
드 28
 
2.1%
이 21
 
1.6%
아 20
 
1.5%
Other values (218) 665
49.5%
Latin
ValueCountFrequency (%)
S 23
 
15.5%
B 13
 
8.8%
e 11
 
7.4%
l 7
 
4.7%
i 7
 
4.7%
a 6
 
4.1%
r 6
 
4.1%
O 5
 
3.4%
P 5
 
3.4%
n 4
 
2.7%
Other values (27) 61
41.2%
Common
ValueCountFrequency (%)
104
70.7%
. 20
 
13.6%
0 5
 
3.4%
- 2
 
1.4%
2 2
 
1.4%
9 2
 
1.4%
3 2
 
1.4%
( 2
 
1.4%
) 2
 
1.4%
& 1
 
0.7%
Other values (5) 5
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1343
82.0%
ASCII 295
 
18.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 170
 
12.7%
당 166
 
12.4%
장 125
 
9.3%
스 54
 
4.0%
클 33
 
2.5%
럽 33
 
2.5%
리 28
 
2.1%
드 28
 
2.1%
이 21
 
1.6%
아 20
 
1.5%
Other values (218) 665
49.5%
ASCII
ValueCountFrequency (%)
104
35.3%
S 23
 
7.8%
. 20
 
6.8%
B 13
 
4.4%
e 11
 
3.7%
l 7
 
2.4%
i 7
 
2.4%
a 6
 
2.0%
r 6
 
2.0%
O 5
 
1.7%
Other values (42) 93
31.5%

최종수정일자
Date

Distinct257
Distinct (%)69.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2003-04-18 11:54:21
Maximum2024-04-30 09:09:31
2024-05-11T16:08:59.237607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:08:59.388037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
I
261 
U
110 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 261
70.4%
U 110
29.6%

Length

2024-05-11T16:08:59.525703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:08:59.638978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 261
70.4%
u 110
29.6%

데이터갱신일자
Date

Distinct59
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:02:00
2024-05-11T16:08:59.749492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:08:59.910051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing371
Missing (%)100.0%
Memory size3.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct269
Distinct (%)78.9%
Missing30
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean195443.39
Minimum191691.68
Maximum198332.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-05-11T16:09:00.066562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191691.68
5-th percentile192914.69
Q1194136.42
median195182.81
Q3196561.96
95-th percentile198245.02
Maximum198332.59
Range6640.9082
Interquartile range (IQR)2425.543

Descriptive statistics

Standard deviation1734.2749
Coefficient of variation (CV)0.0088735406
Kurtosis-0.84096553
Mean195443.39
Median Absolute Deviation (MAD)1291.7772
Skewness-0.0057446521
Sum66646196
Variance3007709.3
MonotonicityNot monotonic
2024-05-11T16:09:00.212074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
197942.929485857 4
 
1.1%
195027.411644724 4
 
1.1%
193218.36400997 3
 
0.8%
196394.963261683 3
 
0.8%
196252.890017558 3
 
0.8%
197465.502657839 3
 
0.8%
195324.934490753 3
 
0.8%
196255.972831381 3
 
0.8%
195359.600787554 2
 
0.5%
193880.153299811 2
 
0.5%
Other values (259) 311
83.8%
(Missing) 30
 
8.1%
ValueCountFrequency (%)
191691.678396263 1
0.3%
191739.328430363 1
0.3%
191748.253117587 2
0.5%
191765.918928731 2
0.5%
191781.745330521 2
0.5%
191803.524952767 1
0.3%
191853.593009781 1
0.3%
191907.543501566 1
0.3%
191964.411605068 1
0.3%
192484.456368367 1
0.3%
ValueCountFrequency (%)
198332.586618402 1
0.3%
198326.862363278 1
0.3%
198310.468541102 1
0.3%
198298.187118645 1
0.3%
198293.498296993 1
0.3%
198284.656804106 2
0.5%
198284.48044046 2
0.5%
198283.149215898 1
0.3%
198282.786805929 2
0.5%
198280.664686017 1
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct269
Distinct (%)78.9%
Missing30
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean444134.21
Minimum441588.86
Maximum445881.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-05-11T16:09:00.389160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441588.86
5-th percentile442040.02
Q1443168.51
median444126.47
Q3445111.6
95-th percentile445648.06
Maximum445881.27
Range4292.4046
Interquartile range (IQR)1943.0826

Descriptive statistics

Standard deviation1178.8016
Coefficient of variation (CV)0.0026541563
Kurtosis-0.946447
Mean444134.21
Median Absolute Deviation (MAD)978.26464
Skewness-0.37958804
Sum1.5144977 × 108
Variance1389573.3
MonotonicityNot monotonic
2024-05-11T16:09:00.954017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442564.914150136 4
 
1.1%
445593.525984032 4
 
1.1%
443239.581054145 3
 
0.8%
445064.870895677 3
 
0.8%
444982.163446551 3
 
0.8%
442421.655413398 3
 
0.8%
445631.450029526 3
 
0.8%
443615.084590391 3
 
0.8%
444794.527703017 2
 
0.5%
444111.964689963 2
 
0.5%
Other values (259) 311
83.8%
(Missing) 30
 
8.1%
ValueCountFrequency (%)
441588.861462309 1
0.3%
441633.951360171 2
0.5%
441638.273666659 1
0.3%
441639.261005501 1
0.3%
441657.524669965 2
0.5%
441671.438697802 2
0.5%
441694.294131762 1
0.3%
441811.982687587 1
0.3%
441812.908240047 1
0.3%
441868.916880094 1
0.3%
ValueCountFrequency (%)
445881.266053 1
0.3%
445755.68326333 1
0.3%
445752.440199471 1
0.3%
445740.716082081 1
0.3%
445700.034625184 2
0.5%
445692.62623807 1
0.3%
445691.30421674 1
0.3%
445690.237396228 1
0.3%
445686.158478401 1
0.3%
445686.008483928 1
0.3%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
당구장업
353 
<NA>
 
18

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 353
95.1%
<NA> 18
 
4.9%

Length

2024-05-11T16:09:01.101076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:09:01.218076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 353
95.1%
na 18
 
4.9%

공사립구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
사립
352 
<NA>
 
18
공립
 
1

Length

Max length4
Median length2
Mean length2.097035
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
사립 352
94.9%
<NA> 18
 
4.9%
공립 1
 
0.3%

Length

2024-05-11T16:09:01.359081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:09:01.545438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 352
94.9%
na 18
 
4.9%
공립 1
 
0.3%

보험가입여부코드
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
325 
0
46 

Length

Max length4
Median length4
Mean length3.6280323
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> 325
87.6%
0 46
 
12.4%

Length

2024-05-11T16:09:01.684845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:09:01.809237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 325
87.6%
0 46
 
12.4%

지도자수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
255 
0
116 

Length

Max length4
Median length4
Mean length3.0619946
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 255
68.7%
0 116
31.3%

Length

2024-05-11T16:09:01.957057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:09:02.093759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 255
68.7%
0 116
31.3%

건축물동수
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
225 
0
116 
1
30 

Length

Max length4
Median length4
Mean length2.819407
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 225
60.6%
0 116
31.3%
1 30
 
8.1%

Length

2024-05-11T16:09:02.266501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:09:02.442734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 225
60.6%
0 116
31.3%
1 30
 
8.1%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct70
Distinct (%)37.0%
Missing182
Missing (%)49.1%
Infinite0
Infinite (%)0.0%
Mean1796.8101
Minimum0
Maximum76574.42
Zeros116
Zeros (%)31.3%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-05-11T16:09:02.659272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3777.12
95-th percentile3256.936
Maximum76574.42
Range76574.42
Interquartile range (IQR)777.12

Descriptive statistics

Standard deviation8610.6643
Coefficient of variation (CV)4.792195
Kurtosis51.660982
Mean1796.8101
Median Absolute Deviation (MAD)0
Skewness7.0785071
Sum339597.11
Variance74143541
MonotonicityNot monotonic
2024-05-11T16:09:02.831116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 116
31.3%
693.43 2
 
0.5%
712.62 2
 
0.5%
2783.03 2
 
0.5%
487.8 2
 
0.5%
527.08 1
 
0.3%
76574.42 1
 
0.3%
777.12 1
 
0.3%
766.08 1
 
0.3%
996.23 1
 
0.3%
Other values (60) 60
 
16.2%
(Missing) 182
49.1%
ValueCountFrequency (%)
0.0 116
31.3%
253.4 1
 
0.3%
259.74 1
 
0.3%
404.9 1
 
0.3%
483.32 1
 
0.3%
487.8 2
 
0.5%
494.88 1
 
0.3%
527.08 1
 
0.3%
577.2 1
 
0.3%
577.57 1
 
0.3%
ValueCountFrequency (%)
76574.42 1
0.3%
60222.96 1
0.3%
58884.22 1
0.3%
34982.89 1
0.3%
11756.08 1
0.3%
6713.59 1
0.3%
4580.38 1
0.3%
3844.13 1
0.3%
3337.37 1
0.3%
3280.4 1
0.3%

회원모집총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
370 
0
 
1

Length

Max length4
Median length4
Mean length3.9919137
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 370
99.7%
0 1
 
0.3%

Length

2024-05-11T16:09:02.991747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:09:03.129386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 370
99.7%
0 1
 
0.3%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing371
Missing (%)100.0%
Memory size3.4 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing371
Missing (%)100.0%
Memory size3.4 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03190000CDFH330108198900000319891226<NA>3폐업3폐업20001228<NA><NA><NA>812-7613<NA>156031서울특별시 동작구 상도1동 113-1번지 2<NA><NA>특실2003-04-18 11:54:21I2018-08-31 23:59:59.0<NA><NA><NA>당구장업사립<NA>000.0<NA><NA><NA>
13190000CDFH330108198900000419891226<NA>1영업/정상13영업중<NA><NA><NA><NA>812-4593<NA><NA>서울특별시 동작구 상도동 503번지 1층서울특별시 동작구 상도로63길 15, 1층 (상도동)7027허리우드(당구장)2015-08-03 17:01:51I2018-08-31 23:59:59.0<NA>196066.147488443613.117801당구장업사립<NA><NA><NA><NA><NA><NA><NA>
23190000CDFH330108198900000519891226<NA>4취소/말소/만료/정지/중지35직권말소20191016<NA><NA><NA>814-4891<NA><NA>서울특별시 동작구 상도동 501-2번지서울특별시 동작구 사당로 6-1 (상도동)7027백마2019-10-16 16:17:50U2019-10-18 02:40:00.0<NA>195965.132905443684.065418당구장업사립<NA><NA><NA><NA><NA><NA><NA>
33190000CDFH330108198900000619891226<NA>3폐업3폐업20000630<NA><NA><NA>813-6629<NA>156861서울특별시 동작구 흑석동 182-7번지서울특별시 동작구 흑석로 110-1 (흑석동)<NA>조화2003-04-18 11:54:21I2018-08-31 23:59:59.0<NA>196523.585055445119.264902당구장업사립<NA>000.0<NA><NA><NA>
43190000CDFH330108198900000819891226<NA>3폐업3폐업20110516<NA><NA><NA>813-5343<NA>156861서울특별시 동작구 흑석동 183-5번지<NA><NA>화림(당구장)2011-05-16 14:18:53I2018-08-31 23:59:59.0<NA>196474.58311445084.310474당구장업사립<NA><NA><NA><NA><NA><NA><NA>
53190000CDFH330108198900000919891226<NA>3폐업3폐업20160128<NA><NA><NA>812-8383<NA><NA>서울특별시 동작구 흑석동 223-1번지서울특별시 동작구 흑석로 94 (흑석동)6973그린당구장2016-01-28 13:05:35I2018-08-31 23:59:59.0<NA>196392.468179445005.685282당구장업사립<NA><NA><NA><NA><NA><NA><NA>
63190000CDFH330108198900001019891226<NA>3폐업3폐업20000822<NA><NA><NA>812-3332<NA>156859서울특별시 동작구 흑석동 97-2번지 98-1서울특별시 동작구 서달로 158 (흑석동,98-1)<NA>허리우드2003-04-18 11:54:21I2018-08-31 23:59:59.0<NA>196598.048336445014.002982당구장업사립<NA>000.0<NA><NA><NA>
73190000CDFH330108198900001119891226<NA>3폐업3폐업20020504<NA><NA><NA>813-4227<NA>156810서울특별시 동작구 대방동 389-12번지서울특별시 동작구 여의대방로 188-1 (대방동)<NA>상원2003-09-06 11:34:49I2018-08-31 23:59:59.0<NA>193039.571038444612.517694당구장업사립0<NA><NA><NA><NA><NA><NA>
83190000CDFH330108198900001219891226<NA>3폐업3폐업20111215<NA><NA><NA>848-9715<NA>156851서울특별시 동작구 신대방동 498-9번지서울특별시 동작구 여의대방로 86-1 (신대방동)<NA>SBS당구장2011-12-15 15:01:24I2018-08-31 23:59:59.0<NA>192534.587323443841.068844당구장업사립<NA><NA><NA><NA><NA><NA><NA>
93190000CDFH330108199200000219921228<NA>3폐업3폐업20000404<NA><NA><NA>591-4638<NA>156819서울특별시 동작구 사당동 252-24번지 25,28서울특별시 동작구 사당로 215 (사당동,25,28)<NA>태양2003-04-18 11:54:21I2018-08-31 23:59:59.0<NA>197481.598826442472.071077당구장업사립<NA>000.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
3613190000CDFH330108201700000720171220<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도동 184-173번지서울특별시 동작구 상도로 154-1, 지층 (상도동)6957길 당구클럽2017-12-20 14:15:05I2018-08-31 23:59:59.0<NA>194338.984782444544.120524당구장업사립<NA><NA><NA><NA><NA><NA><NA>
3623190000CDFH330108201700000820171228<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도동 468번지서울특별시 동작구 상도로 332, 지층 (상도동)7033Oh billiard&cafe2017-12-28 17:30:16I2018-08-31 23:59:59.0<NA>195623.093358444036.69563당구장업사립<NA><NA><NA><NA><NA><NA><NA>
3633190000CDFH330108201800000120180822<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도동 73-1 성산빌딩서울특별시 동작구 상도로37길 69, 성산빌딩 지하1층 (상도동)6971아지트당구장2020-10-06 11:19:21U2020-10-08 02:40:00.0<NA>195755.544444444018.962439당구장업사립<NA><NA><NA><NA><NA><NA><NA>
3643190000CDFH330108201900000120190412<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 본동 400번지서울특별시 동작구 노량진로 228, 4층 (본동)6916특실당구장2019-07-15 13:07:12U2019-07-17 02:40:00.0<NA>195625.02384445584.324294당구장업사립<NA><NA><NA><NA><NA><NA><NA>
3653190000CDFH330108201900000220190710<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도동 22-86번지서울특별시 동작구 상도로31길 83, 3층 (상도동)6921SS 당구클럽2019-07-10 09:55:24I2019-07-12 02:21:50.0<NA>195161.017607444794.372397당구장업사립<NA><NA><NA><NA><NA><NA><NA>
3663190000CDFH330108201900000320190813<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도동 358-1번지서울특별시 동작구 상도로15길 98, 3층 (상도동)6949BB 당구장2019-08-13 17:50:35I2019-08-15 02:22:17.0<NA>194289.626775444672.621779당구장업사립<NA><NA><NA><NA><NA><NA><NA>
3673190000CDFH330108202000000120200122<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 흑석동 9-89번지서울특별시 동작구 현충로 100-1, 지하1층 (흑석동)6979올림픽 당구장2020-01-22 15:09:56I2020-01-24 00:23:24.0<NA>196812.464844445047.949634당구장업사립<NA><NA><NA><NA><NA><NA><NA>
3683190000CDFH330108202000000220200324<NA>3폐업3폐업20220829<NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 312-9서울특별시 동작구 사당로16길 47 (사당동)7011그린당구장2022-08-29 17:14:27U2021-12-07 21:01:00.0<NA>197494.003566442152.741644<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3693190000CDFH33010820230000012023-05-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 신대방동 344-15 지하 1층서울특별시 동작구 보라매로 91, 지하1층 (신대방동)7060아이에스 당구클럽2023-05-11 13:27:10I2022-12-04 23:03:00.0<NA>193535.93478443925.162232<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3703190000CDFH33010820230000022023-06-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 신대방동 395-68 보라매나산스위트서울특별시 동작구 보라매로5가길 24, 지하2층 24~28, 107~112호 (신대방동, 보라매나산스위트)7071버터캐롬클럽2023-08-04 16:07:06U2022-12-08 00:06:00.0<NA>193204.782208443168.51356<NA><NA><NA><NA><NA><NA><NA><NA><NA>