Overview

Dataset statistics

Number of variables34
Number of observations615
Missing cells6314
Missing cells (%)30.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory174.9 KiB
Average record size in memory291.2 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
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-19627/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화체육업종명 is highly imbalanced (66.5%)Imbalance
공사립구분명 is highly imbalanced (66.5%)Imbalance
회원모집총인원 is highly imbalanced (88.0%)Imbalance
인허가취소일자 has 615 (100.0%) missing valuesMissing
폐업일자 has 87 (14.1%) missing valuesMissing
휴업시작일자 has 615 (100.0%) missing valuesMissing
휴업종료일자 has 615 (100.0%) missing valuesMissing
재개업일자 has 615 (100.0%) missing valuesMissing
전화번호 has 442 (71.9%) missing valuesMissing
소재지면적 has 615 (100.0%) missing valuesMissing
소재지우편번호 has 74 (12.0%) missing valuesMissing
도로명주소 has 73 (11.9%) missing valuesMissing
도로명우편번호 has 380 (61.8%) missing valuesMissing
업태구분명 has 615 (100.0%) missing valuesMissing
좌표정보(X) has 52 (8.5%) missing valuesMissing
좌표정보(Y) has 52 (8.5%) missing valuesMissing
건축물연면적 has 231 (37.6%) missing valuesMissing
세부업종명 has 615 (100.0%) missing valuesMissing
법인명 has 615 (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 340 (55.3%) zerosZeros

Reproduction

Analysis started2024-05-11 06:17:59.418296
Analysis finished2024-05-11 06:18:00.638256
Duration1.22 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
3000000
615 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 615
100.0%

Length

2024-05-11T15:18:00.762759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:18:00.943669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 615
100.0%

관리번호
Text

UNIQUE 

Distinct615
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-05-11T15:18:01.257381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters12300
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

Unique615 ?
Unique (%)100.0%

Sample

1st rowCDFH3301081978000001
2nd rowCDFH3301081979000001
3rd rowCDFH3301081980000001
4th rowCDFH3301081981000001
5th rowCDFH3301081981000002
ValueCountFrequency (%)
cdfh3301081978000001 1
 
0.2%
cdfh3301082001000031 1
 
0.2%
cdfh3301082002000010 1
 
0.2%
cdfh3301082001000025 1
 
0.2%
cdfh3301082001000026 1
 
0.2%
cdfh3301082001000027 1
 
0.2%
cdfh3301082001000028 1
 
0.2%
cdfh3301082001000029 1
 
0.2%
cdfh3301082001000030 1
 
0.2%
cdfh3301082002000002 1
 
0.2%
Other values (605) 605
98.4%
2024-05-11T15:18:01.906414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4521
36.8%
3 1384
 
11.3%
1 1306
 
10.6%
8 794
 
6.5%
9 788
 
6.4%
C 615
 
5.0%
D 615
 
5.0%
F 615
 
5.0%
H 615
 
5.0%
2 497
 
4.0%
Other values (4) 550
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9840
80.0%
Uppercase Letter 2460
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4521
45.9%
3 1384
 
14.1%
1 1306
 
13.3%
8 794
 
8.1%
9 788
 
8.0%
2 497
 
5.1%
4 156
 
1.6%
7 143
 
1.5%
5 127
 
1.3%
6 124
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
C 615
25.0%
D 615
25.0%
F 615
25.0%
H 615
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9840
80.0%
Latin 2460
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4521
45.9%
3 1384
 
14.1%
1 1306
 
13.3%
8 794
 
8.1%
9 788
 
8.0%
2 497
 
5.1%
4 156
 
1.6%
7 143
 
1.5%
5 127
 
1.3%
6 124
 
1.3%
Latin
ValueCountFrequency (%)
C 615
25.0%
D 615
25.0%
F 615
25.0%
H 615
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4521
36.8%
3 1384
 
11.3%
1 1306
 
10.6%
8 794
 
6.5%
9 788
 
6.4%
C 615
 
5.0%
D 615
 
5.0%
F 615
 
5.0%
H 615
 
5.0%
2 497
 
4.0%
Other values (4) 550
 
4.5%

인허가일자
Date

Distinct554
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
Minimum1978-05-22 00:00:00
Maximum2024-02-02 00:00:00
2024-05-11T15:18:02.180157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:18:02.436099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing615
Missing (%)100.0%
Memory size5.5 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
3
463 
1
87 
4
65 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 463
75.3%
1 87
 
14.1%
4 65
 
10.6%

Length

2024-05-11T15:18:02.667317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:18:02.851882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 463
75.3%
1 87
 
14.1%
4 65
 
10.6%

영업상태명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
폐업
463 
영업/정상
87 
취소/말소/만료/정지/중지
65 

Length

Max length14
Median length2
Mean length3.6926829
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 463
75.3%
영업/정상 87
 
14.1%
취소/말소/만료/정지/중지 65
 
10.6%

Length

2024-05-11T15:18:03.056895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:18:03.275532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 463
75.3%
영업/정상 87
 
14.1%
취소/말소/만료/정지/중지 65
 
10.6%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
3
463 
13
87 
35
65 

Length

Max length2
Median length1
Mean length1.2471545
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 463
75.3%
13 87
 
14.1%
35 65
 
10.6%

Length

2024-05-11T15:18:03.481740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:18:03.692995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 463
75.3%
13 87
 
14.1%
35 65
 
10.6%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
폐업
463 
영업중
87 
직권말소
65 

Length

Max length4
Median length2
Mean length2.3528455
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 463
75.3%
영업중 87
 
14.1%
직권말소 65
 
10.6%

Length

2024-05-11T15:18:03.953049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:18:04.213037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 463
75.3%
영업중 87
 
14.1%
직권말소 65
 
10.6%

폐업일자
Date

MISSING 

Distinct405
Distinct (%)76.7%
Missing87
Missing (%)14.1%
Memory size4.9 KiB
Minimum1993-05-12 00:00:00
Maximum2024-01-30 00:00:00
2024-05-11T15:18:04.422158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:18:04.674170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing615
Missing (%)100.0%
Memory size5.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing615
Missing (%)100.0%
Memory size5.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing615
Missing (%)100.0%
Memory size5.5 KiB

전화번호
Text

MISSING 

Distinct169
Distinct (%)97.7%
Missing442
Missing (%)71.9%
Memory size4.9 KiB
2024-05-11T15:18:05.156934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.99422
Min length8

Characters and Unicode

Total characters1902
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

Unique165 ?
Unique (%)95.4%

Sample

1st row02-926-0234
2nd row02-267-0575
3rd row02-741-2888
4th row02-730-9527
5th row02-739-1892
ValueCountFrequency (%)
02-2279-3030 2
 
1.2%
736-1112 2
 
1.2%
02-766-2901 2
 
1.2%
02-3673-0530 2
 
1.2%
02-2266-1118 1
 
0.6%
02-723-7317 1
 
0.6%
02-2252-2040 1
 
0.6%
02-2231-0753 1
 
0.6%
02-733-3451 1
 
0.6%
02-744-4745 1
 
0.6%
Other values (159) 159
91.9%
2024-05-11T15:18:05.900396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 327
17.2%
2 322
16.9%
0 266
14.0%
7 230
12.1%
3 163
8.6%
6 137
7.2%
4 123
 
6.5%
9 93
 
4.9%
5 93
 
4.9%
1 81
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1575
82.8%
Dash Punctuation 327
 
17.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 322
20.4%
0 266
16.9%
7 230
14.6%
3 163
10.3%
6 137
8.7%
4 123
 
7.8%
9 93
 
5.9%
5 93
 
5.9%
1 81
 
5.1%
8 67
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 327
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1902
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 327
17.2%
2 322
16.9%
0 266
14.0%
7 230
12.1%
3 163
8.6%
6 137
7.2%
4 123
 
6.5%
9 93
 
4.9%
5 93
 
4.9%
1 81
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1902
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 327
17.2%
2 322
16.9%
0 266
14.0%
7 230
12.1%
3 163
8.6%
6 137
7.2%
4 123
 
6.5%
9 93
 
4.9%
5 93
 
4.9%
1 81
 
4.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing615
Missing (%)100.0%
Memory size5.5 KiB

소재지우편번호
Text

MISSING 

Distinct112
Distinct (%)20.7%
Missing74
Missing (%)12.0%
Memory size4.9 KiB
2024-05-11T15:18:06.423507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0166359
Min length6

Characters and Unicode

Total characters3255
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

Unique41 ?
Unique (%)7.6%

Sample

1st row110842
2nd row110460
3rd row110840
4th row110130
5th row110842
ValueCountFrequency (%)
110111 44
 
8.1%
110522 28
 
5.2%
110826 18
 
3.3%
110809 17
 
3.1%
110320 16
 
3.0%
110840 15
 
2.8%
110130 14
 
2.6%
110521 13
 
2.4%
110524 13
 
2.4%
110420 12
 
2.2%
Other values (102) 351
64.9%
2024-05-11T15:18:07.556347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1343
41.3%
0 810
24.9%
2 244
 
7.5%
8 234
 
7.2%
4 171
 
5.3%
3 144
 
4.4%
5 138
 
4.2%
7 62
 
1.9%
6 53
 
1.6%
9 47
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3246
99.7%
Dash Punctuation 9
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1343
41.4%
0 810
25.0%
2 244
 
7.5%
8 234
 
7.2%
4 171
 
5.3%
3 144
 
4.4%
5 138
 
4.3%
7 62
 
1.9%
6 53
 
1.6%
9 47
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3255
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1343
41.3%
0 810
24.9%
2 244
 
7.5%
8 234
 
7.2%
4 171
 
5.3%
3 144
 
4.4%
5 138
 
4.2%
7 62
 
1.9%
6 53
 
1.6%
9 47
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3255
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1343
41.3%
0 810
24.9%
2 244
 
7.5%
8 234
 
7.2%
4 171
 
5.3%
3 144
 
4.4%
5 138
 
4.2%
7 62
 
1.9%
6 53
 
1.6%
9 47
 
1.4%

지번주소
Text

Distinct557
Distinct (%)91.0%
Missing3
Missing (%)0.5%
Memory size4.9 KiB
2024-05-11T15:18:08.171218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length36
Mean length22.679739
Min length16

Characters and Unicode

Total characters13880
Distinct characters174
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

Unique508 ?
Unique (%)83.0%

Sample

1st row서울특별시 종로구 창신동 464-30번지
2nd row서울특별시 종로구 연건동 138-2번지
3rd row서울특별시 종로구 창신동 154-1번지
4th row서울특별시 종로구 청진동 138-1번지
5th row서울특별시 종로구 창신동 464-3번지
ValueCountFrequency (%)
서울특별시 612
23.4%
종로구 612
23.4%
숭인동 75
 
2.9%
창신동 73
 
2.8%
관철동 52
 
2.0%
명륜2가 29
 
1.1%
지하1층 27
 
1.0%
종로5가 26
 
1.0%
낙원동 23
 
0.9%
동숭동 19
 
0.7%
Other values (636) 1071
40.9%
2024-05-11T15:18:09.096755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2583
18.6%
로 682
 
4.9%
종 677
 
4.9%
지 654
 
4.7%
1 619
 
4.5%
서 616
 
4.4%
구 616
 
4.4%
시 613
 
4.4%
특 612
 
4.4%
별 612
 
4.4%
Other values (164) 5596
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8355
60.2%
Space Separator 2583
 
18.6%
Decimal Number 2441
 
17.6%
Dash Punctuation 483
 
3.5%
Other Punctuation 9
 
0.1%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 682
 
8.2%
종 677
 
8.1%
지 654
 
7.8%
서 616
 
7.4%
구 616
 
7.4%
시 613
 
7.3%
특 612
 
7.3%
별 612
 
7.3%
울 612
 
7.3%
번 554
 
6.6%
Other values (147) 2107
25.2%
Decimal Number
ValueCountFrequency (%)
1 619
25.4%
2 353
14.5%
3 286
11.7%
0 215
 
8.8%
4 214
 
8.8%
5 177
 
7.3%
8 156
 
6.4%
6 150
 
6.1%
7 144
 
5.9%
9 127
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 7
77.8%
. 2
 
22.2%
Space Separator
ValueCountFrequency (%)
2583
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 483
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8355
60.2%
Common 5524
39.8%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 682
 
8.2%
종 677
 
8.1%
지 654
 
7.8%
서 616
 
7.4%
구 616
 
7.4%
시 613
 
7.3%
특 612
 
7.3%
별 612
 
7.3%
울 612
 
7.3%
번 554
 
6.6%
Other values (147) 2107
25.2%
Common
ValueCountFrequency (%)
2583
46.8%
1 619
 
11.2%
- 483
 
8.7%
2 353
 
6.4%
3 286
 
5.2%
0 215
 
3.9%
4 214
 
3.9%
5 177
 
3.2%
8 156
 
2.8%
6 150
 
2.7%
Other values (6) 288
 
5.2%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8355
60.2%
ASCII 5525
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2583
46.8%
1 619
 
11.2%
- 483
 
8.7%
2 353
 
6.4%
3 286
 
5.2%
0 215
 
3.9%
4 214
 
3.9%
5 177
 
3.2%
8 156
 
2.8%
6 150
 
2.7%
Other values (7) 289
 
5.2%
Hangul
ValueCountFrequency (%)
로 682
 
8.2%
종 677
 
8.1%
지 654
 
7.8%
서 616
 
7.4%
구 616
 
7.4%
시 613
 
7.3%
특 612
 
7.3%
별 612
 
7.3%
울 612
 
7.3%
번 554
 
6.6%
Other values (147) 2107
25.2%

도로명주소
Text

MISSING 

Distinct497
Distinct (%)91.7%
Missing73
Missing (%)11.9%
Memory size4.9 KiB
2024-05-11T15:18:09.823094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length47
Mean length26.359779
Min length20

Characters and Unicode

Total characters14287
Distinct characters180
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

Unique454 ?
Unique (%)83.8%

Sample

1st row서울특별시 종로구 종로46길 12 (창신동)
2nd row서울특별시 종로구 대학로 77 (연건동)
3rd row서울특별시 종로구 종로 313-1 (창신동)
4th row서울특별시 종로구 종로5길 23 (청진동)
5th row서울특별시 종로구 종로 309-3 (창신동)
ValueCountFrequency (%)
서울특별시 542
 
19.0%
종로구 542
 
19.0%
종로 70
 
2.4%
숭인동 67
 
2.3%
창신동 59
 
2.1%
관철동 50
 
1.7%
지하1층 25
 
0.9%
3층 24
 
0.8%
종로5가 23
 
0.8%
명륜2가 21
 
0.7%
Other values (510) 1436
50.2%
2024-05-11T15:18:10.767244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2607
18.2%
로 1082
 
7.6%
종 764
 
5.3%
서 548
 
3.8%
구 546
 
3.8%
) 544
 
3.8%
( 544
 
3.8%
시 544
 
3.8%
울 542
 
3.8%
별 542
 
3.8%
Other values (170) 6024
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8400
58.8%
Space Separator 2607
 
18.2%
Decimal Number 1948
 
13.6%
Close Punctuation 544
 
3.8%
Open Punctuation 544
 
3.8%
Other Punctuation 157
 
1.1%
Dash Punctuation 84
 
0.6%
Uppercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 1082
12.9%
종 764
 
9.1%
서 548
 
6.5%
구 546
 
6.5%
시 544
 
6.5%
울 542
 
6.5%
별 542
 
6.5%
특 542
 
6.5%
동 472
 
5.6%
길 319
 
3.8%
Other values (152) 2499
29.8%
Decimal Number
ValueCountFrequency (%)
1 431
22.1%
2 325
16.7%
3 295
15.1%
5 198
10.2%
4 180
9.2%
6 137
 
7.0%
0 105
 
5.4%
9 99
 
5.1%
7 95
 
4.9%
8 83
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 155
98.7%
. 2
 
1.3%
Space Separator
ValueCountFrequency (%)
2607
100.0%
Close Punctuation
ValueCountFrequency (%)
) 544
100.0%
Open Punctuation
ValueCountFrequency (%)
( 544
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8400
58.8%
Common 5885
41.2%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 1082
12.9%
종 764
 
9.1%
서 548
 
6.5%
구 546
 
6.5%
시 544
 
6.5%
울 542
 
6.5%
별 542
 
6.5%
특 542
 
6.5%
동 472
 
5.6%
길 319
 
3.8%
Other values (152) 2499
29.8%
Common
ValueCountFrequency (%)
2607
44.3%
) 544
 
9.2%
( 544
 
9.2%
1 431
 
7.3%
2 325
 
5.5%
3 295
 
5.0%
5 198
 
3.4%
4 180
 
3.1%
, 155
 
2.6%
6 137
 
2.3%
Other values (7) 469
 
8.0%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8400
58.8%
ASCII 5887
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2607
44.3%
) 544
 
9.2%
( 544
 
9.2%
1 431
 
7.3%
2 325
 
5.5%
3 295
 
5.0%
5 198
 
3.4%
4 180
 
3.1%
, 155
 
2.6%
6 137
 
2.3%
Other values (8) 471
 
8.0%
Hangul
ValueCountFrequency (%)
로 1082
12.9%
종 764
 
9.1%
서 548
 
6.5%
구 546
 
6.5%
시 544
 
6.5%
울 542
 
6.5%
별 542
 
6.5%
특 542
 
6.5%
동 472
 
5.6%
길 319
 
3.8%
Other values (152) 2499
29.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct113
Distinct (%)48.1%
Missing380
Missing (%)61.8%
Infinite0
Infinite (%)0.0%
Mean18672.055
Minimum3007
Maximum110863
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-05-11T15:18:11.086471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3007
5-th percentile3040.7
Q13106
median3138
Q33190
95-th percentile110807.6
Maximum110863
Range107856
Interquartile range (IQR)84

Descriptive statistics

Standard deviation37873.691
Coefficient of variation (CV)2.0283622
Kurtosis2.1520495
Mean18672.055
Median Absolute Deviation (MAD)51
Skewness2.0331572
Sum4387933
Variance1.4344165 × 109
MonotonicityNot monotonic
2024-05-11T15:18:11.339461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3189 9
 
1.5%
3190 9
 
1.5%
3129 7
 
1.1%
3173 7
 
1.1%
3197 6
 
1.0%
3126 6
 
1.0%
3192 5
 
0.8%
3114 5
 
0.8%
3086 5
 
0.8%
3119 5
 
0.8%
Other values (103) 171
27.8%
(Missing) 380
61.8%
ValueCountFrequency (%)
3007 1
0.2%
3008 1
0.2%
3010 1
0.2%
3012 1
0.2%
3017 2
0.3%
3030 1
0.2%
3035 2
0.3%
3036 2
0.3%
3040 1
0.2%
3041 2
0.3%
ValueCountFrequency (%)
110863 1
0.2%
110850 1
0.2%
110844 1
0.2%
110841 2
0.3%
110836 1
0.2%
110834 1
0.2%
110826 2
0.3%
110825 1
0.2%
110812 1
0.2%
110809 1
0.2%

사업장명
Text

Distinct492
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-05-11T15:18:11.869020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length4.0650407
Min length1

Characters and Unicode

Total characters2500
Distinct characters341
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

Unique413 ?
Unique (%)67.2%

Sample

1st row동문
2nd row이화당구장
3rd row신흥
4th row금메달
5th row동문
ValueCountFrequency (%)
당구장 22
 
3.3%
당구클럽 7
 
1.1%
포커스 6
 
0.9%
세종당구장 5
 
0.8%
종로당구장 5
 
0.8%
로얄 4
 
0.6%
영 4
 
0.6%
현대 4
 
0.6%
큐 4
 
0.6%
프로당구장 4
 
0.6%
Other values (484) 595
90.2%
2024-05-11T15:18:12.766476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 292
 
11.7%
당 284
 
11.4%
장 234
 
9.4%
스 57
 
2.3%
럽 53
 
2.1%
클 50
 
2.0%
45
 
1.8%
로 35
 
1.4%
이 34
 
1.4%
리 32
 
1.3%
Other values (331) 1384
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2302
92.1%
Uppercase Letter 68
 
2.7%
Decimal Number 57
 
2.3%
Space Separator 45
 
1.8%
Lowercase Letter 16
 
0.6%
Other Punctuation 10
 
0.4%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 292
 
12.7%
당 284
 
12.3%
장 234
 
10.2%
스 57
 
2.5%
럽 53
 
2.3%
클 50
 
2.2%
로 35
 
1.5%
이 34
 
1.5%
리 32
 
1.4%
아 28
 
1.2%
Other values (286) 1203
52.3%
Uppercase Letter
ValueCountFrequency (%)
S 9
13.2%
I 7
10.3%
L 6
 
8.8%
E 6
 
8.8%
V 5
 
7.4%
P 5
 
7.4%
B 4
 
5.9%
M 4
 
5.9%
R 3
 
4.4%
U 3
 
4.4%
Other values (11) 16
23.5%
Decimal Number
ValueCountFrequency (%)
0 18
31.6%
2 17
29.8%
4 6
 
10.5%
3 4
 
7.0%
1 4
 
7.0%
7 3
 
5.3%
5 3
 
5.3%
8 1
 
1.8%
9 1
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
s 4
25.0%
b 3
18.8%
u 2
12.5%
a 2
12.5%
l 1
 
6.2%
c 1
 
6.2%
n 1
 
6.2%
i 1
 
6.2%
o 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
. 6
60.0%
' 2
 
20.0%
& 2
 
20.0%
Space Separator
ValueCountFrequency (%)
45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2302
92.1%
Common 114
 
4.6%
Latin 84
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 292
 
12.7%
당 284
 
12.3%
장 234
 
10.2%
스 57
 
2.5%
럽 53
 
2.3%
클 50
 
2.2%
로 35
 
1.5%
이 34
 
1.5%
리 32
 
1.4%
아 28
 
1.2%
Other values (286) 1203
52.3%
Latin
ValueCountFrequency (%)
S 9
 
10.7%
I 7
 
8.3%
L 6
 
7.1%
E 6
 
7.1%
V 5
 
6.0%
P 5
 
6.0%
B 4
 
4.8%
M 4
 
4.8%
s 4
 
4.8%
R 3
 
3.6%
Other values (20) 31
36.9%
Common
ValueCountFrequency (%)
45
39.5%
0 18
 
15.8%
2 17
 
14.9%
. 6
 
5.3%
4 6
 
5.3%
3 4
 
3.5%
1 4
 
3.5%
7 3
 
2.6%
5 3
 
2.6%
' 2
 
1.8%
Other values (5) 6
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2302
92.1%
ASCII 198
 
7.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 292
 
12.7%
당 284
 
12.3%
장 234
 
10.2%
스 57
 
2.5%
럽 53
 
2.3%
클 50
 
2.2%
로 35
 
1.5%
이 34
 
1.5%
리 32
 
1.4%
아 28
 
1.2%
Other values (286) 1203
52.3%
ASCII
ValueCountFrequency (%)
45
22.7%
0 18
 
9.1%
2 17
 
8.6%
S 9
 
4.5%
I 7
 
3.5%
. 6
 
3.0%
L 6
 
3.0%
4 6
 
3.0%
E 6
 
3.0%
V 5
 
2.5%
Other values (35) 73
36.9%

최종수정일자
Date

Distinct346
Distinct (%)56.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
Minimum2003-02-07 09:11:15
Maximum2024-05-02 13:04:58
2024-05-11T15:18:13.068530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:18:13.386594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
I
507 
U
108 

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 507
82.4%
U 108
 
17.6%

Length

2024-05-11T15:18:13.651140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:18:13.856717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 507
82.4%
u 108
 
17.6%

데이터갱신일자
Date

Distinct83
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:04:00
2024-05-11T15:18:14.077432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:18:14.352332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing615
Missing (%)100.0%
Memory size5.5 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct431
Distinct (%)76.6%
Missing52
Missing (%)8.5%
Infinite0
Infinite (%)0.0%
Mean199575.69
Minimum196156.93
Maximum201963.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-05-11T15:18:14.623782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196156.93
5-th percentile197306.42
Q1198686.19
median199698.71
Q3200475.58
95-th percentile201796.98
Maximum201963.7
Range5806.7677
Interquartile range (IQR)1789.3847

Descriptive statistics

Standard deviation1377.7899
Coefficient of variation (CV)0.0069035957
Kurtosis-0.49602232
Mean199575.69
Median Absolute Deviation (MAD)1000.6932
Skewness-0.24779226
Sum1.1236111 × 108
Variance1898305
MonotonicityNot monotonic
2024-05-11T15:18:14.849271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200153.322797562 4
 
0.7%
199698.708751424 4
 
0.7%
199658.55506796 4
 
0.7%
198596.089308222 4
 
0.7%
201875.702357184 3
 
0.5%
199655.685854533 3
 
0.5%
201418.232374648 3
 
0.5%
199045.043602772 3
 
0.5%
201035.357569809 3
 
0.5%
199547.888288286 3
 
0.5%
Other values (421) 529
86.0%
(Missing) 52
 
8.5%
ValueCountFrequency (%)
196156.927737704 2
0.3%
196168.669397542 1
0.2%
196188.676804345 2
0.3%
196216.695084581 1
0.2%
196248.34462033 1
0.2%
196261.784318902 1
0.2%
196304.556463811 1
0.2%
196367.983857083 2
0.3%
196444.724457441 1
0.2%
196497.961394434 1
0.2%
ValueCountFrequency (%)
201963.695437025 1
0.2%
201962.62904341 1
0.2%
201956.111584613 1
0.2%
201946.86632604 1
0.2%
201926.215502116 1
0.2%
201911.136750205 1
0.2%
201910.647689061 1
0.2%
201910.20923187 2
0.3%
201902.807079609 1
0.2%
201881.234237298 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct432
Distinct (%)76.7%
Missing52
Missing (%)8.5%
Infinite0
Infinite (%)0.0%
Mean452544.33
Minimum451647.66
Maximum456429.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-05-11T15:18:15.110159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451647.66
5-th percentile451866.62
Q1452066.91
median452297.62
Q3452703.23
95-th percentile453827.3
Maximum456429.34
Range4781.6853
Interquartile range (IQR)636.32502

Descriptive statistics

Standard deviation745.68128
Coefficient of variation (CV)0.001647753
Kurtosis6.8688436
Mean452544.33
Median Absolute Deviation (MAD)260.43764
Skewness2.2665907
Sum2.5478246 × 108
Variance556040.58
MonotonicityNot monotonic
2024-05-11T15:18:15.388035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
453487.534406085 4
 
0.7%
453332.518876344 4
 
0.7%
451932.131774449 4
 
0.7%
453782.816291273 4
 
0.7%
453941.657402455 3
 
0.5%
452134.276328979 3
 
0.5%
452052.481113785 3
 
0.5%
453541.125011424 3
 
0.5%
451852.05285101 3
 
0.5%
452167.368596929 3
 
0.5%
Other values (422) 529
86.0%
(Missing) 52
 
8.5%
ValueCountFrequency (%)
451647.659357433 1
0.2%
451658.76871749 1
0.2%
451664.399383222 1
0.2%
451785.296574342 1
0.2%
451799.216093585 1
0.2%
451814.424196043 1
0.2%
451816.038182067 1
0.2%
451827.999539602 2
0.3%
451830.208951284 1
0.2%
451834.553171381 1
0.2%
ValueCountFrequency (%)
456429.344666667 1
0.2%
456211.92274867 2
0.3%
456082.500270084 1
0.2%
456061.273724198 1
0.2%
456039.354846116 1
0.2%
455959.269196762 1
0.2%
455869.049851389 1
0.2%
455358.116497827 1
0.2%
455254.32310714 2
0.3%
455118.824032074 1
0.2%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
당구장업
577 
<NA>
 
38

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 577
93.8%
<NA> 38
 
6.2%

Length

2024-05-11T15:18:15.762622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:18:15.955378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 577
93.8%
na 38
 
6.2%

공사립구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
사립
577 
<NA>
 
38

Length

Max length4
Median length2
Mean length2.1235772
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 577
93.8%
<NA> 38
 
6.2%

Length

2024-05-11T15:18:16.192438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:18:16.423445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 577
93.8%
na 38
 
6.2%

보험가입여부코드
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
<NA>
534 
0
81 

Length

Max length4
Median length4
Mean length3.604878
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 534
86.8%
0 81
 
13.2%

Length

2024-05-11T15:18:16.669955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:18:16.863396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 534
86.8%
0 81
 
13.2%

지도자수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
<NA>
331 
0
284 

Length

Max length4
Median length4
Mean length2.6146341
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 331
53.8%
0 284
46.2%

Length

2024-05-11T15:18:17.147878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:18:17.361595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 331
53.8%
0 284
46.2%

건축물동수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
0
347 
<NA>
268 

Length

Max length4
Median length1
Mean length2.3073171
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 347
56.4%
<NA> 268
43.6%

Length

2024-05-11T15:18:17.577424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:18:17.810232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 347
56.4%
na 268
43.6%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct42
Distinct (%)10.9%
Missing231
Missing (%)37.6%
Infinite0
Infinite (%)0.0%
Mean639.79516
Minimum0
Maximum140937
Zeros340
Zeros (%)55.3%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-05-11T15:18:18.086321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1211.941
Maximum140937
Range140937
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7406.133
Coefficient of variation (CV)11.575788
Kurtosis339.08428
Mean639.79516
Median Absolute Deviation (MAD)0
Skewness18.013329
Sum245681.34
Variance54850807
MonotonicityNot monotonic
2024-05-11T15:18:18.337589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0.0 340
55.3%
1428.6 2
 
0.3%
463.34 2
 
0.3%
1913.65 2
 
0.3%
3509.7 1
 
0.2%
1802.89 1
 
0.2%
27530.45 1
 
0.2%
368.28 1
 
0.2%
1578.9 1
 
0.2%
608.15 1
 
0.2%
Other values (32) 32
 
5.2%
(Missing) 231
37.6%
ValueCountFrequency (%)
0.0 340
55.3%
211.75 1
 
0.2%
216.69 1
 
0.2%
368.28 1
 
0.2%
463.34 2
 
0.3%
487.75 1
 
0.2%
488.7 1
 
0.2%
500.89 1
 
0.2%
575.14 1
 
0.2%
586.99 1
 
0.2%
ValueCountFrequency (%)
140937.0 1
0.2%
27530.45 1
0.2%
19384.36 1
0.2%
8193.35 1
0.2%
5163.39 1
0.2%
3509.7 1
0.2%
3067.57 1
0.2%
2976.36 1
0.2%
1956.75 1
0.2%
1913.65 2
0.3%

회원모집총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
<NA>
605 
0
 
10

Length

Max length4
Median length4
Mean length3.9512195
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> 605
98.4%
0 10
 
1.6%

Length

2024-05-11T15:18:18.598248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:18:18.811353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 605
98.4%
0 10
 
1.6%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing615
Missing (%)100.0%
Memory size5.5 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing615
Missing (%)100.0%
Memory size5.5 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03000000CDFH330108197800000119780522<NA>3폐업3폐업19950722<NA><NA><NA><NA><NA>110842서울특별시 종로구 창신동 464-30번지서울특별시 종로구 종로46길 12 (창신동)<NA>동문2003-02-07 09:11:15I2018-08-31 23:59:59.0<NA>200867.01802452086.036903당구장업사립<NA>000.0<NA><NA><NA>
13000000CDFH330108197900000119790205<NA>3폐업3폐업19980213<NA><NA><NA><NA><NA>110460서울특별시 종로구 연건동 138-2번지서울특별시 종로구 대학로 77 (연건동)<NA>이화당구장2003-02-07 09:11:15I2018-08-31 23:59:59.0<NA>200099.324689452870.126652당구장업사립<NA>000.0<NA><NA><NA>
23000000CDFH330108198000000119801202<NA>3폐업3폐업19961204<NA><NA><NA><NA><NA>110840서울특별시 종로구 창신동 154-1번지서울특별시 종로구 종로 313-1 (창신동)<NA>신흥2003-02-07 09:11:15I2018-08-31 23:59:59.0<NA>201040.562597452226.799878당구장업사립<NA>000.0<NA><NA><NA>
33000000CDFH330108198100000119810128<NA>3폐업3폐업20110708<NA><NA><NA><NA><NA>110130서울특별시 종로구 청진동 138-1번지서울특별시 종로구 종로5길 23 (청진동)<NA>금메달2011-07-08 13:07:13I2018-08-31 23:59:59.0<NA>198283.120356452423.089922당구장업사립0<NA><NA><NA><NA><NA><NA>
43000000CDFH330108198100000219810407<NA>3폐업3폐업19950722<NA><NA><NA><NA><NA>110842서울특별시 종로구 창신동 464-3번지<NA><NA>동문2003-02-07 09:11:15I2018-08-31 23:59:59.0<NA><NA><NA>당구장업사립<NA>000.0<NA><NA><NA>
53000000CDFH330108198300000119830704<NA>3폐업3폐업19960503<NA><NA><NA><NA><NA>110854서울특별시 종로구 창신동 534번지서울특별시 종로구 종로 309-3 (창신동)<NA>한일2003-02-07 09:11:15I2018-08-31 23:59:59.0<NA>200994.093175452223.842151당구장업사립<NA>000.0<NA><NA><NA>
63000000CDFH330108198400000119840216<NA>3폐업3폐업20060713<NA><NA><NA><NA><NA>110480서울특별시 종로구 효제동 320번지서울특별시 종로구 대학로1길 6 (효제동)<NA>5가2006-07-13 17:33:27I2018-08-31 23:59:59.0<NA>200069.598961452132.848981당구장업사립0<NA><NA><NA><NA><NA><NA>
73000000CDFH330108198400000219840929<NA>1영업/정상13영업중<NA><NA><NA><NA>02-926-0234<NA><NA>서울특별시 종로구 숭인동 759번지서울특별시 종로구 숭인동길 35, 2층 (숭인동)3110종로당구클럽2018-10-15 13:36:58U2018-10-15 23:59:59.0<NA>201858.060164452707.528967당구장업사립<NA><NA><NA><NA><NA><NA><NA>
83000000CDFH330108198400000319841116<NA>3폐업3폐업20020403<NA><NA><NA><NA><NA>110080서울특별시 종로구 무악동 42-2번지서울특별시 종로구 통일로 250 (무악동)<NA>형제2003-02-07 09:11:15I2018-08-31 23:59:59.0<NA>196216.695085452495.36188당구장업사립<NA>000.0<NA><NA><NA>
93000000CDFH330108198400000419841116<NA>3폐업3폐업20011226<NA><NA><NA><NA><NA>110370서울특별시 종로구 묘동 193-1번지서울특별시 종로구 돈화문로 33-1 (묘동)<NA>2.3.52003-02-07 09:11:15I2018-08-31 23:59:59.0<NA>199200.084285452135.822201당구장업사립<NA>000.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
6053000000CDFH330108202000000120200218<NA>3폐업3폐업20210902<NA><NA><NA><NA><NA><NA>서울특별시 종로구 종로5가 1 목화빌딩서울특별시 종로구 대학로2길 72, 목화빌딩 301호 (종로5가)3126삼육당구장2021-09-02 11:24:07U2021-09-04 02:40:00.0<NA>200467.814018452134.276329당구장업사립<NA>001228.660<NA><NA>
6063000000CDFH330108202000000220200924<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 명륜2가 147-3서울특별시 종로구 성균관로 14, 3층 (명륜2가)3074브이8중식포켓볼당구클럽2020-09-24 10:08:30I2020-09-26 00:23:11.0<NA>199736.742207453541.125011당구장업사립<NA><NA><NA>500.89<NA><NA><NA>
6073000000CDFH330108202100000120210707<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 관철동 7-1서울특별시 종로구 삼일대로 391, 5층 (관철동)3190앤디당구장2021-07-07 13:05:04I2021-07-09 00:22:53.0<NA>198816.493845451913.95019당구장업사립<NA>001909.810<NA><NA>
6083000000CDFH330108202100000220210716<NA>3폐업3폐업20220318<NA><NA><NA><NA><NA><NA>서울특별시 종로구 인의동 28-36 재림빌딩서울특별시 종로구 창경궁로 112-11, 재림빌딩 2층 (인의동)3130캐롬당구클럽2022-03-18 16:24:43U2022-03-20 02:40:00.0<NA>199794.789138452254.719807당구장업사립<NA>001913.650<NA><NA>
6093000000CDFH330108202100000320210729<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 신교동 57 신도빌딩서울특별시 종로구 자하문로 83, 신도빌딩 지하1층 (신교동)3035세종당구장2021-07-29 15:45:34I2021-07-31 00:22:51.0<NA>197286.71558453459.221615당구장업사립<NA>001117.20<NA><NA>
6103000000CDFH330108202100000420211116<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 창신동 537-1서울특별시 종로구 종로 309, 3층 (창신동)3106나마스테스누커2021-11-16 16:35:35I2021-11-18 00:22:44.0<NA>200986.447021452215.701717당구장업사립<NA>00586.990<NA><NA>
6113000000CDFH330108202200000120220221<NA>1영업/정상13영업중<NA><NA><NA><NA>02-745-1588<NA><NA>서울특별시 종로구 낙원동 207 파고다테크서울특별시 종로구 수표로 111, 파고다테크 1층 (낙원동)3140정석당구&아카데미2022-09-13 15:50:50U2021-12-08 23:05:00.0<NA>198963.479329452103.707437<NA><NA><NA><NA><NA><NA><NA><NA><NA>
6123000000CDFH330108202200000220220628<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 창신동 148-1 지하1층서울특별시 종로구 종로51가길 2-1, 지하1층 (창신동)3105TRIEU VIEW 당구장2022-11-08 15:44:23U2021-10-31 23:00:00.0<NA>201035.35757452256.067309<NA><NA><NA><NA><NA><NA><NA><NA><NA>
6133000000CDFH33010820230000012023-04-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 창신동 693-3 영화빌딩서울특별시 종로구 창신길 1, 영화빌딩 지하1층 (창신동)3101Sao Mai2023-04-04 19:10:30I2022-12-04 00:06:00.0<NA>200830.570275452174.480628<NA><NA><NA><NA><NA><NA><NA><NA><NA>
6143000000CDFH33010820240000012024-02-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 창신동 447-2서울특별시 종로구 종로46가길 8, 1층 (창신동)3119판다당구2024-02-05 09:38:55U2023-12-02 00:07:00.0<NA>200909.454784452070.38729<NA><NA><NA><NA><NA><NA><NA><NA><NA>