Overview

Dataset statistics

Number of variables34
Number of observations441
Missing cells3411
Missing cells (%)22.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory125.5 KiB
Average record size in memory291.3 B

Variable types

Categorical14
Text6
DateTime4
Unsupported6
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
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-19643/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (97.7%)Imbalance
휴업종료일자 is highly imbalanced (97.7%)Imbalance
문화체육업종명 is highly imbalanced (51.0%)Imbalance
공사립구분명 is highly imbalanced (51.0%)Imbalance
보험가입여부코드 is highly imbalanced (60.5%)Imbalance
회원모집총인원 is highly imbalanced (89.6%)Imbalance
인허가취소일자 has 441 (100.0%) missing valuesMissing
폐업일자 has 83 (18.8%) missing valuesMissing
재개업일자 has 441 (100.0%) missing valuesMissing
전화번호 has 159 (36.1%) missing valuesMissing
소재지면적 has 441 (100.0%) missing valuesMissing
소재지우편번호 has 53 (12.0%) missing valuesMissing
지번주소 has 8 (1.8%) missing valuesMissing
도로명주소 has 26 (5.9%) missing valuesMissing
도로명우편번호 has 214 (48.5%) missing valuesMissing
업태구분명 has 441 (100.0%) missing valuesMissing
좌표정보(X) has 12 (2.7%) missing valuesMissing
좌표정보(Y) has 12 (2.7%) missing valuesMissing
건축물연면적 has 198 (44.9%) missing valuesMissing
세부업종명 has 441 (100.0%) missing valuesMissing
법인명 has 441 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 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 156 (35.4%) zerosZeros

Reproduction

Analysis started2024-05-11 06:11:13.550440
Analysis finished2024-05-11 06:11:14.893366
Duration1.34 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
3160000
441 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3160000
2nd row3160000
3rd row3160000
4th row3160000
5th row3160000

Common Values

ValueCountFrequency (%)
3160000 441
100.0%

Length

2024-05-11T15:11:15.068366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:15.256407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 441
100.0%

관리번호
Text

UNIQUE 

Distinct441
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-05-11T15:11:15.525522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters8820
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

Unique441 ?
Unique (%)100.0%

Sample

1st rowCDFH3301081981000001
2nd rowCDFH3301081983000001
3rd rowCDFH3301081984000001
4th rowCDFH3301081984000002
5th rowCDFH3301081985000001
ValueCountFrequency (%)
cdfh3301081981000001 1
 
0.2%
cdfh3301082007000002 1
 
0.2%
cdfh3301082007000013 1
 
0.2%
cdfh3301082007000012 1
 
0.2%
cdfh3301082007000011 1
 
0.2%
cdfh3301082007000010 1
 
0.2%
cdfh3301082007000009 1
 
0.2%
cdfh3301082007000008 1
 
0.2%
cdfh3301082007000007 1
 
0.2%
cdfh3301082007000006 1
 
0.2%
Other values (431) 431
97.7%
2024-05-11T15:11:16.040869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3375
38.3%
3 979
 
11.1%
1 932
 
10.6%
8 562
 
6.4%
C 441
 
5.0%
D 441
 
5.0%
F 441
 
5.0%
H 441
 
5.0%
9 430
 
4.9%
2 419
 
4.8%
Other values (4) 359
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7056
80.0%
Uppercase Letter 1764
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3375
47.8%
3 979
 
13.9%
1 932
 
13.2%
8 562
 
8.0%
9 430
 
6.1%
2 419
 
5.9%
4 97
 
1.4%
6 96
 
1.4%
7 90
 
1.3%
5 76
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 441
25.0%
D 441
25.0%
F 441
25.0%
H 441
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7056
80.0%
Latin 1764
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3375
47.8%
3 979
 
13.9%
1 932
 
13.2%
8 562
 
8.0%
9 430
 
6.1%
2 419
 
5.9%
4 97
 
1.4%
6 96
 
1.4%
7 90
 
1.3%
5 76
 
1.1%
Latin
ValueCountFrequency (%)
C 441
25.0%
D 441
25.0%
F 441
25.0%
H 441
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8820
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3375
38.3%
3 979
 
11.1%
1 932
 
10.6%
8 562
 
6.4%
C 441
 
5.0%
D 441
 
5.0%
F 441
 
5.0%
H 441
 
5.0%
9 430
 
4.9%
2 419
 
4.8%
Other values (4) 359
 
4.1%

인허가일자
Date

Distinct409
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
Minimum1981-03-10 00:00:00
Maximum2023-07-07 00:00:00
2024-05-11T15:11:16.268462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:11:16.557980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing441
Missing (%)100.0%
Memory size4.0 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
3
258 
4
101 
1
81 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
3 258
58.5%
4 101
 
22.9%
1 81
 
18.4%
2 1
 
0.2%

Length

2024-05-11T15:11:16.774821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:16.928591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 258
58.5%
4 101
 
22.9%
1 81
 
18.4%
2 1
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
폐업
258 
취소/말소/만료/정지/중지
101 
영업/정상
81 
휴업
 
1

Length

Max length14
Median length2
Mean length5.2993197
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 258
58.5%
취소/말소/만료/정지/중지 101
 
22.9%
영업/정상 81
 
18.4%
휴업 1
 
0.2%

Length

2024-05-11T15:11:17.162002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:17.359864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 258
58.5%
취소/말소/만료/정지/중지 101
 
22.9%
영업/정상 81
 
18.4%
휴업 1
 
0.2%

상세영업상태코드
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
3
258 
35
101 
13
81 
2
 
1

Length

Max length2
Median length1
Mean length1.4126984
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
3 258
58.5%
35 101
 
22.9%
13 81
 
18.4%
2 1
 
0.2%

Length

2024-05-11T15:11:17.577272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:17.751631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 258
58.5%
35 101
 
22.9%
13 81
 
18.4%
2 1
 
0.2%

상세영업상태명
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
폐업
258 
직권말소
101 
영업중
81 
휴업
 
1

Length

Max length4
Median length2
Mean length2.6417234
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 258
58.5%
직권말소 101
 
22.9%
영업중 81
 
18.4%
휴업 1
 
0.2%

Length

2024-05-11T15:11:17.951840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:18.128248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 258
58.5%
직권말소 101
 
22.9%
영업중 81
 
18.4%
휴업 1
 
0.2%

폐업일자
Date

MISSING 

Distinct255
Distinct (%)71.2%
Missing83
Missing (%)18.8%
Memory size3.6 KiB
Minimum1994-11-04 00:00:00
Maximum2024-04-04 00:00:00
2024-05-11T15:11:18.310911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:11:18.516597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
440 
20111125
 
1

Length

Max length8
Median length4
Mean length4.0090703
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 440
99.8%
20111125 1
 
0.2%

Length

2024-05-11T15:11:18.741866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:18.955400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 440
99.8%
20111125 1
 
0.2%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
440 
20111125
 
1

Length

Max length8
Median length4
Mean length4.0090703
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 440
99.8%
20111125 1
 
0.2%

Length

2024-05-11T15:11:19.133891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:19.314691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 440
99.8%
20111125 1
 
0.2%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing441
Missing (%)100.0%
Memory size4.0 KiB

전화번호
Text

MISSING 

Distinct279
Distinct (%)98.9%
Missing159
Missing (%)36.1%
Memory size3.6 KiB
2024-05-11T15:11:19.763953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.4219858
Min length8

Characters and Unicode

Total characters2375
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique276 ?
Unique (%)97.9%

Sample

1st row853-3324
2nd row682-1081
3rd row867-8941
4th row856-2398
5th row688-7663
ValueCountFrequency (%)
671-8586 2
 
0.7%
864-2862 2
 
0.7%
839-4599 2
 
0.7%
02)2060-3949 1
 
0.4%
842-5082 1
 
0.4%
2060-0681 1
 
0.4%
681-8317 1
 
0.4%
2615-4124 1
 
0.4%
2618-5815 1
 
0.4%
612-0045 1
 
0.4%
Other values (269) 269
95.4%
2024-05-11T15:11:20.396639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 346
14.6%
6 333
14.0%
- 298
12.5%
2 213
9.0%
1 204
8.6%
5 189
8.0%
3 172
7.2%
7 164
6.9%
9 163
6.9%
4 149
6.3%
Other values (2) 144
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2076
87.4%
Dash Punctuation 298
 
12.5%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 346
16.7%
6 333
16.0%
2 213
10.3%
1 204
9.8%
5 189
9.1%
3 172
8.3%
7 164
7.9%
9 163
7.9%
4 149
7.2%
0 143
6.9%
Dash Punctuation
ValueCountFrequency (%)
- 298
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2375
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 346
14.6%
6 333
14.0%
- 298
12.5%
2 213
9.0%
1 204
8.6%
5 189
8.0%
3 172
7.2%
7 164
6.9%
9 163
6.9%
4 149
6.3%
Other values (2) 144
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2375
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 346
14.6%
6 333
14.0%
- 298
12.5%
2 213
9.0%
1 204
8.6%
5 189
8.0%
3 172
7.2%
7 164
6.9%
9 163
6.9%
4 149
6.3%
Other values (2) 144
6.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing441
Missing (%)100.0%
Memory size4.0 KiB

소재지우편번호
Text

MISSING 

Distinct101
Distinct (%)26.0%
Missing53
Missing (%)12.0%
Memory size3.6 KiB
2024-05-11T15:11:20.842590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0412371
Min length6

Characters and Unicode

Total characters2344
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

Unique43 ?
Unique (%)11.1%

Sample

1st row152801
2nd row152880
3rd row152801
4th row152816
5th row152824
ValueCountFrequency (%)
152880 24
 
6.2%
152800 19
 
4.9%
152801 16
 
4.1%
152816 13
 
3.4%
152846 12
 
3.1%
152847 11
 
2.8%
152872 11
 
2.8%
152823 10
 
2.6%
152858 9
 
2.3%
152824 9
 
2.3%
Other values (91) 254
65.5%
2024-05-11T15:11:21.593035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 454
19.4%
5 451
19.2%
2 450
19.2%
8 448
19.1%
0 146
 
6.2%
6 96
 
4.1%
4 87
 
3.7%
3 73
 
3.1%
7 65
 
2.8%
9 58
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2328
99.3%
Dash Punctuation 16
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 454
19.5%
5 451
19.4%
2 450
19.3%
8 448
19.2%
0 146
 
6.3%
6 96
 
4.1%
4 87
 
3.7%
3 73
 
3.1%
7 65
 
2.8%
9 58
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2344
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 454
19.4%
5 451
19.2%
2 450
19.2%
8 448
19.1%
0 146
 
6.2%
6 96
 
4.1%
4 87
 
3.7%
3 73
 
3.1%
7 65
 
2.8%
9 58
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2344
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 454
19.4%
5 451
19.2%
2 450
19.2%
8 448
19.1%
0 146
 
6.2%
6 96
 
4.1%
4 87
 
3.7%
3 73
 
3.1%
7 65
 
2.8%
9 58
 
2.5%

지번주소
Text

MISSING 

Distinct415
Distinct (%)95.8%
Missing8
Missing (%)1.8%
Memory size3.6 KiB
2024-05-11T15:11:22.165225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length44
Mean length24.884527
Min length19

Characters and Unicode

Total characters10775
Distinct characters163
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

Unique399 ?
Unique (%)92.1%

Sample

1st row서울특별시 구로구 가리봉동 136 137-4
2nd row서울특별시 구로구 구로동 1125-2번지
3rd row서울특별시 구로구 가리봉동 129-1번지
4th row서울특별시 구로구 개봉동 403-101번지
5th row서울특별시 구로구 고척동 53-2번지
ValueCountFrequency (%)
서울특별시 433
21.5%
구로구 433
21.5%
구로동 184
 
9.1%
고척동 76
 
3.8%
개봉동 62
 
3.1%
가리봉동 39
 
1.9%
2층 35
 
1.7%
오류동 30
 
1.5%
3층 28
 
1.4%
신도림동 19
 
0.9%
Other values (549) 675
33.5%
2024-05-11T15:11:23.123074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1949
18.1%
구 1053
 
9.8%
로 618
 
5.7%
1 488
 
4.5%
동 451
 
4.2%
서 434
 
4.0%
특 433
 
4.0%
별 433
 
4.0%
시 433
 
4.0%
울 433
 
4.0%
Other values (153) 4050
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6077
56.4%
Decimal Number 2288
 
21.2%
Space Separator 1949
 
18.1%
Dash Punctuation 420
 
3.9%
Other Punctuation 19
 
0.2%
Uppercase Letter 15
 
0.1%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1053
17.3%
로 618
10.2%
동 451
 
7.4%
서 434
 
7.1%
특 433
 
7.1%
별 433
 
7.1%
시 433
 
7.1%
울 433
 
7.1%
지 319
 
5.2%
번 275
 
4.5%
Other values (135) 1195
19.7%
Decimal Number
ValueCountFrequency (%)
1 488
21.3%
2 347
15.2%
3 287
12.5%
4 208
9.1%
5 206
9.0%
0 192
 
8.4%
7 172
 
7.5%
6 161
 
7.0%
9 118
 
5.2%
8 109
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
B 12
80.0%
A 3
 
20.0%
Space Separator
ValueCountFrequency (%)
1949
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 420
100.0%
Other Punctuation
ValueCountFrequency (%)
, 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6077
56.4%
Common 4683
43.5%
Latin 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1053
17.3%
로 618
10.2%
동 451
 
7.4%
서 434
 
7.1%
특 433
 
7.1%
별 433
 
7.1%
시 433
 
7.1%
울 433
 
7.1%
지 319
 
5.2%
번 275
 
4.5%
Other values (135) 1195
19.7%
Common
ValueCountFrequency (%)
1949
41.6%
1 488
 
10.4%
- 420
 
9.0%
2 347
 
7.4%
3 287
 
6.1%
4 208
 
4.4%
5 206
 
4.4%
0 192
 
4.1%
7 172
 
3.7%
6 161
 
3.4%
Other values (6) 253
 
5.4%
Latin
ValueCountFrequency (%)
B 12
80.0%
A 3
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6077
56.4%
ASCII 4698
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1949
41.5%
1 488
 
10.4%
- 420
 
8.9%
2 347
 
7.4%
3 287
 
6.1%
4 208
 
4.4%
5 206
 
4.4%
0 192
 
4.1%
7 172
 
3.7%
6 161
 
3.4%
Other values (8) 268
 
5.7%
Hangul
ValueCountFrequency (%)
구 1053
17.3%
로 618
10.2%
동 451
 
7.4%
서 434
 
7.1%
특 433
 
7.1%
별 433
 
7.1%
시 433
 
7.1%
울 433
 
7.1%
지 319
 
5.2%
번 275
 
4.5%
Other values (135) 1195
19.7%

도로명주소
Text

MISSING 

Distinct397
Distinct (%)95.7%
Missing26
Missing (%)5.9%
Memory size3.6 KiB
2024-05-11T15:11:23.638051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length48
Mean length29.243373
Min length21

Characters and Unicode

Total characters12136
Distinct characters168
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

Unique381 ?
Unique (%)91.8%

Sample

1st row서울특별시 구로구 개봉로 46 (개봉동)
2nd row서울특별시 구로구 고척로 229 (고척동)
3rd row서울특별시 구로구 구로중앙로28가길 8 (구로동)
4th row서울특별시 구로구 경인로40길 25 (개봉동)
5th row서울특별시 구로구 구로동로26길 81 (구로동)
ValueCountFrequency (%)
서울특별시 415
 
18.1%
구로구 415
 
18.1%
구로동 124
 
5.4%
고척동 59
 
2.6%
개봉동 44
 
1.9%
구로동로 33
 
1.4%
가리봉동 29
 
1.3%
경인로 24
 
1.0%
3층 24
 
1.0%
고척로 21
 
0.9%
Other values (497) 1104
48.2%
2024-05-11T15:11:24.337506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2092
17.2%
구 1097
 
9.0%
로 1086
 
8.9%
동 488
 
4.0%
서 427
 
3.5%
시 422
 
3.5%
) 418
 
3.4%
( 418
 
3.4%
울 415
 
3.4%
특 415
 
3.4%
Other values (158) 4858
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7098
58.5%
Space Separator 2092
 
17.2%
Decimal Number 1794
 
14.8%
Close Punctuation 418
 
3.4%
Open Punctuation 418
 
3.4%
Other Punctuation 251
 
2.1%
Dash Punctuation 43
 
0.4%
Uppercase Letter 18
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1097
15.5%
로 1086
15.3%
동 488
 
6.9%
서 427
 
6.0%
시 422
 
5.9%
울 415
 
5.8%
특 415
 
5.8%
별 415
 
5.8%
길 235
 
3.3%
층 148
 
2.1%
Other values (139) 1950
27.5%
Decimal Number
ValueCountFrequency (%)
1 352
19.6%
2 328
18.3%
3 267
14.9%
0 154
8.6%
4 145
8.1%
5 137
 
7.6%
7 127
 
7.1%
6 118
 
6.6%
8 88
 
4.9%
9 78
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
B 14
77.8%
A 3
 
16.7%
G 1
 
5.6%
Space Separator
ValueCountFrequency (%)
2092
100.0%
Close Punctuation
ValueCountFrequency (%)
) 418
100.0%
Open Punctuation
ValueCountFrequency (%)
( 418
100.0%
Other Punctuation
ValueCountFrequency (%)
, 251
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7098
58.5%
Common 5020
41.4%
Latin 18
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1097
15.5%
로 1086
15.3%
동 488
 
6.9%
서 427
 
6.0%
시 422
 
5.9%
울 415
 
5.8%
특 415
 
5.8%
별 415
 
5.8%
길 235
 
3.3%
층 148
 
2.1%
Other values (139) 1950
27.5%
Common
ValueCountFrequency (%)
2092
41.7%
) 418
 
8.3%
( 418
 
8.3%
1 352
 
7.0%
2 328
 
6.5%
3 267
 
5.3%
, 251
 
5.0%
0 154
 
3.1%
4 145
 
2.9%
5 137
 
2.7%
Other values (6) 458
 
9.1%
Latin
ValueCountFrequency (%)
B 14
77.8%
A 3
 
16.7%
G 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7098
58.5%
ASCII 5038
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2092
41.5%
) 418
 
8.3%
( 418
 
8.3%
1 352
 
7.0%
2 328
 
6.5%
3 267
 
5.3%
, 251
 
5.0%
0 154
 
3.1%
4 145
 
2.9%
5 137
 
2.7%
Other values (9) 476
 
9.4%
Hangul
ValueCountFrequency (%)
구 1097
15.5%
로 1086
15.3%
동 488
 
6.9%
서 427
 
6.0%
시 422
 
5.9%
울 415
 
5.8%
특 415
 
5.8%
별 415
 
5.8%
길 235
 
3.3%
층 148
 
2.1%
Other values (139) 1950
27.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)41.9%
Missing214
Missing (%)48.5%
Infinite0
Infinite (%)0.0%
Mean10842.815
Minimum8203
Maximum152858
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-05-11T15:11:24.507991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8203
5-th percentile8213.6
Q18241
median8293
Q38352
95-th percentile8392
Maximum152858
Range144655
Interquartile range (IQR)111

Descriptive statistics

Standard deviation19056.371
Coefficient of variation (CV)1.7575114
Kurtosis52.952363
Mean10842.815
Median Absolute Deviation (MAD)54
Skewness7.3814154
Sum2461319
Variance3.6314527 × 108
MonotonicityNot monotonic
2024-05-11T15:11:24.720891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8223 11
 
2.5%
8391 10
 
2.3%
8312 7
 
1.6%
8255 7
 
1.6%
8387 6
 
1.4%
8392 6
 
1.4%
8294 6
 
1.4%
8293 5
 
1.1%
8222 5
 
1.1%
8289 5
 
1.1%
Other values (85) 159
36.1%
(Missing) 214
48.5%
ValueCountFrequency (%)
8203 1
 
0.2%
8204 2
0.5%
8205 2
0.5%
8208 2
0.5%
8210 1
 
0.2%
8212 3
0.7%
8213 1
 
0.2%
8215 2
0.5%
8216 1
 
0.2%
8217 1
 
0.2%
ValueCountFrequency (%)
152858 1
 
0.2%
152836 1
 
0.2%
152821 1
 
0.2%
152743 1
 
0.2%
8395 3
 
0.7%
8392 6
1.4%
8391 10
2.3%
8390 2
 
0.5%
8388 1
 
0.2%
8387 6
1.4%

사업장명
Text

Distinct352
Distinct (%)79.8%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-05-11T15:11:25.286121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length5.6371882
Min length1

Characters and Unicode

Total characters2486
Distinct characters297
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique292 ?
Unique (%)66.2%

Sample

1st row제일당구장
2nd row일진당구장
3rd row으뜸당구장
4th row수정당구장
5th row양평당구장
ValueCountFrequency (%)
당구장 48
 
9.0%
당구클럽 25
 
4.7%
제일당구장 5
 
0.9%
그린당구장 5
 
0.9%
스카이 5
 
0.9%
에이스당구장 4
 
0.8%
우성당구장 4
 
0.8%
공원당구장 4
 
0.8%
프로당구장 4
 
0.8%
칠성당구장 4
 
0.8%
Other values (352) 424
79.7%
2024-05-11T15:11:26.072448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 423
17.0%
당 415
16.7%
장 350
 
14.1%
91
 
3.7%
클 68
 
2.7%
럽 67
 
2.7%
스 56
 
2.3%
이 39
 
1.6%
성 23
 
0.9%
리 23
 
0.9%
Other values (287) 931
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2274
91.5%
Space Separator 91
 
3.7%
Uppercase Letter 61
 
2.5%
Decimal Number 31
 
1.2%
Lowercase Letter 19
 
0.8%
Other Punctuation 8
 
0.3%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 423
18.6%
당 415
18.2%
장 350
15.4%
클 68
 
3.0%
럽 67
 
2.9%
스 56
 
2.5%
이 39
 
1.7%
성 23
 
1.0%
리 23
 
1.0%
드 19
 
0.8%
Other values (243) 791
34.8%
Uppercase Letter
ValueCountFrequency (%)
S 11
18.0%
A 6
9.8%
C 6
9.8%
B 6
9.8%
K 4
 
6.6%
E 4
 
6.6%
O 3
 
4.9%
I 3
 
4.9%
N 3
 
4.9%
M 2
 
3.3%
Other values (9) 13
21.3%
Lowercase Letter
ValueCountFrequency (%)
l 4
21.1%
i 3
15.8%
n 3
15.8%
o 1
 
5.3%
e 1
 
5.3%
b 1
 
5.3%
d 1
 
5.3%
r 1
 
5.3%
a 1
 
5.3%
y 1
 
5.3%
Other values (2) 2
10.5%
Decimal Number
ValueCountFrequency (%)
2 7
22.6%
5 5
16.1%
7 4
12.9%
0 4
12.9%
3 4
12.9%
1 4
12.9%
8 2
 
6.5%
9 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
. 6
75.0%
& 1
 
12.5%
． 1
 
12.5%
Space Separator
ValueCountFrequency (%)
91
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2274
91.5%
Common 132
 
5.3%
Latin 80
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 423
18.6%
당 415
18.2%
장 350
15.4%
클 68
 
3.0%
럽 67
 
2.9%
스 56
 
2.5%
이 39
 
1.7%
성 23
 
1.0%
리 23
 
1.0%
드 19
 
0.8%
Other values (243) 791
34.8%
Latin
ValueCountFrequency (%)
S 11
 
13.8%
A 6
 
7.5%
C 6
 
7.5%
B 6
 
7.5%
K 4
 
5.0%
E 4
 
5.0%
l 4
 
5.0%
O 3
 
3.8%
i 3
 
3.8%
I 3
 
3.8%
Other values (21) 30
37.5%
Common
ValueCountFrequency (%)
91
68.9%
2 7
 
5.3%
. 6
 
4.5%
5 5
 
3.8%
7 4
 
3.0%
0 4
 
3.0%
3 4
 
3.0%
1 4
 
3.0%
+ 2
 
1.5%
8 2
 
1.5%
Other values (3) 3
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2274
91.5%
ASCII 211
 
8.5%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 423
18.6%
당 415
18.2%
장 350
15.4%
클 68
 
3.0%
럽 67
 
2.9%
스 56
 
2.5%
이 39
 
1.7%
성 23
 
1.0%
리 23
 
1.0%
드 19
 
0.8%
Other values (243) 791
34.8%
ASCII
ValueCountFrequency (%)
91
43.1%
S 11
 
5.2%
2 7
 
3.3%
A 6
 
2.8%
C 6
 
2.8%
. 6
 
2.8%
B 6
 
2.8%
5 5
 
2.4%
7 4
 
1.9%
K 4
 
1.9%
Other values (33) 65
30.8%
None
ValueCountFrequency (%)
． 1
100.0%

최종수정일자
Date

Distinct351
Distinct (%)79.6%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
Minimum2003-04-18 15:20:21
Maximum2024-05-02 11:08:26
2024-05-11T15:11:26.281479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:11:26.523930image/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 size3.6 KiB
I
258 
U
183 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 258
58.5%
U 183
41.5%

Length

2024-05-11T15:11:26.729884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:26.898520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 258
58.5%
u 183
41.5%

데이터갱신일자
Date

Distinct91
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:04:00
2024-05-11T15:11:27.109751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:11:27.362324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing441
Missing (%)100.0%
Memory size4.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct341
Distinct (%)79.5%
Missing12
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean188604.65
Minimum183874.06
Maximum191250.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-05-11T15:11:27.575692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183874.06
5-th percentile185400.84
Q1187202.61
median189215.6
Q3190109.52
95-th percentile191029.31
Maximum191250.05
Range7375.9866
Interquartile range (IQR)2906.9065

Descriptive statistics

Standard deviation1830.6438
Coefficient of variation (CV)0.0097062496
Kurtosis-0.77789436
Mean188604.65
Median Absolute Deviation (MAD)1291.7897
Skewness-0.53306351
Sum80911396
Variance3351256.8
MonotonicityNot monotonic
2024-05-11T15:11:27.820719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
189967.513003627 5
 
1.1%
187232.927848885 4
 
0.9%
187434.769427132 3
 
0.7%
191029.307108884 3
 
0.7%
188148.310902591 3
 
0.7%
190109.521012825 3
 
0.7%
190415.939868395 3
 
0.7%
189741.38746632 3
 
0.7%
189946.556007652 3
 
0.7%
189576.455837212 3
 
0.7%
Other values (331) 396
89.8%
(Missing) 12
 
2.7%
ValueCountFrequency (%)
183874.063801283 1
0.2%
183995.144929261 1
0.2%
184019.610971952 2
0.5%
184274.000681736 1
0.2%
184283.480004239 1
0.2%
184323.391703413 2
0.5%
184405.015953711 1
0.2%
184418.095297236 1
0.2%
184418.680739558 1
0.2%
184457.791730837 1
0.2%
ValueCountFrequency (%)
191250.050385034 1
0.2%
191239.693382941 1
0.2%
191229.896362573 2
0.5%
191209.106092001 1
0.2%
191205.791543965 1
0.2%
191191.131566069 1
0.2%
191189.171149286 1
0.2%
191177.269899076 1
0.2%
191173.834097241 1
0.2%
191173.645294866 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct341
Distinct (%)79.5%
Missing12
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean443586.9
Minimum441880.75
Maximum445532.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-05-11T15:11:28.102082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441880.75
5-th percentile442153.02
Q1442925.74
median443559.94
Q3444356.31
95-th percentile444848.11
Maximum445532.06
Range3651.3114
Interquartile range (IQR)1430.5754

Descriptive statistics

Standard deviation874.09983
Coefficient of variation (CV)0.0019705267
Kurtosis-0.99488562
Mean443586.9
Median Absolute Deviation (MAD)746.82966
Skewness-0.067754532
Sum1.9029878 × 108
Variance764050.5
MonotonicityNot monotonic
2024-05-11T15:11:28.318965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442304.502550047 5
 
1.1%
443456.527037257 4
 
0.9%
443559.941447823 3
 
0.7%
442318.44658281 3
 
0.7%
444211.474351706 3
 
0.7%
443260.551470395 3
 
0.7%
443127.550254664 3
 
0.7%
444273.055297123 3
 
0.7%
442503.673703011 3
 
0.7%
443518.562800769 3
 
0.7%
Other values (331) 396
89.8%
(Missing) 12
 
2.7%
ValueCountFrequency (%)
441880.745508083 1
0.2%
441890.656477118 1
0.2%
441968.468347335 1
0.2%
441980.450080409 1
0.2%
441987.38252973 1
0.2%
441992.692586009 2
0.5%
441995.724053949 1
0.2%
442010.294552482 1
0.2%
442012.171190477 1
0.2%
442026.372957798 1
0.2%
ValueCountFrequency (%)
445532.056886722 2
0.5%
445369.517787461 1
0.2%
445340.071515846 1
0.2%
445263.700689907 2
0.5%
445261.977148473 2
0.5%
445253.272921198 1
0.2%
445195.615736292 1
0.2%
445153.61016346 1
0.2%
444975.976783143 1
0.2%
444965.342836827 2
0.5%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
당구장업
394 
<NA>
47 

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 394
89.3%
<NA> 47
 
10.7%

Length

2024-05-11T15:11:28.552516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:28.786150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 394
89.3%
na 47
 
10.7%

공사립구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
사립
394 
<NA>
47 

Length

Max length4
Median length2
Mean length2.2131519
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 394
89.3%
<NA> 47
 
10.7%

Length

2024-05-11T15:11:29.009089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:29.195899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 394
89.3%
na 47
 
10.7%

보험가입여부코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
375 
0
65 
1
 
1

Length

Max length4
Median length4
Mean length3.5510204
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 375
85.0%
0 65
 
14.7%
1 1
 
0.2%

Length

2024-05-11T15:11:29.377842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:29.562120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 375
85.0%
0 65
 
14.7%
1 1
 
0.2%

지도자수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
314 
0
127 

Length

Max length4
Median length4
Mean length3.1360544
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 314
71.2%
0 127
28.8%

Length

2024-05-11T15:11:29.726757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:29.884786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 314
71.2%
0 127
28.8%

건축물동수
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
248 
0
163 
1
28 
2
 
2

Length

Max length4
Median length4
Mean length2.6870748
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 248
56.2%
0 163
37.0%
1 28
 
6.3%
2 2
 
0.5%

Length

2024-05-11T15:11:30.056053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:30.244217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 248
56.2%
0 163
37.0%
1 28
 
6.3%
2 2
 
0.5%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct85
Distinct (%)35.0%
Missing198
Missing (%)44.9%
Infinite0
Infinite (%)0.0%
Mean3496.7202
Minimum0
Maximum308702.89
Zeros156
Zeros (%)35.4%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-05-11T15:11:30.446920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3667.93
95-th percentile6959.183
Maximum308702.89
Range308702.89
Interquartile range (IQR)667.93

Descriptive statistics

Standard deviation21743.443
Coefficient of variation (CV)6.2182392
Kurtosis162.38191
Mean3496.7202
Median Absolute Deviation (MAD)0
Skewness11.909264
Sum849703.02
Variance4.7277731 × 108
MonotonicityNot monotonic
2024-05-11T15:11:30.636123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 156
35.4%
848.26 3
 
0.7%
2095.74 2
 
0.5%
16529.0 1
 
0.2%
467.28 1
 
0.2%
131.28 1
 
0.2%
639.37 1
 
0.2%
4980.83 1
 
0.2%
1444.36 1
 
0.2%
636.66 1
 
0.2%
Other values (75) 75
 
17.0%
(Missing) 198
44.9%
ValueCountFrequency (%)
0.0 156
35.4%
108.0 1
 
0.2%
111.0 1
 
0.2%
131.28 1
 
0.2%
148.0 1
 
0.2%
188.0 1
 
0.2%
190.0 1
 
0.2%
195.0 1
 
0.2%
197.0 1
 
0.2%
204.0 1
 
0.2%
ValueCountFrequency (%)
308702.89 1
0.2%
63985.0 1
0.2%
63589.97 1
0.2%
60166.0 1
0.2%
56903.86 1
0.2%
43023.43 1
0.2%
41049.05 1
0.2%
38350.0 1
0.2%
31689.91 1
0.2%
21813.1 1
0.2%

회원모집총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
435 
0
 
6

Length

Max length4
Median length4
Mean length3.9591837
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> 435
98.6%
0 6
 
1.4%

Length

2024-05-11T15:11:30.843660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:31.020119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 435
98.6%
0 6
 
1.4%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing441
Missing (%)100.0%
Memory size4.0 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing441
Missing (%)100.0%
Memory size4.0 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03160000CDFH330108198100000119810310<NA>4취소/말소/만료/정지/중지35직권말소20210702<NA><NA><NA><NA><NA>152801서울특별시 구로구 가리봉동 136 137-4<NA><NA>제일당구장2021-05-31 09:47:25U2021-06-02 02:40:00.0<NA><NA><NA>당구장업사립<NA>000.0<NA><NA><NA>
13160000CDFH330108198300000119830209<NA>3폐업3폐업20021029<NA><NA><NA>853-3324<NA>152880서울특별시 구로구 구로동 1125-2번지<NA><NA>일진당구장2003-04-18 15:20:21I2018-08-31 23:59:59.0<NA>191229.896363442414.747844당구장업사립<NA>000.0<NA><NA><NA>
23160000CDFH330108198400000119841010<NA>3폐업3폐업19941104<NA><NA><NA><NA><NA>152801서울특별시 구로구 가리봉동 129-1번지<NA><NA>으뜸당구장2004-11-04 16:09:30I2018-08-31 23:59:59.0<NA><NA><NA>당구장업사립0<NA><NA><NA><NA><NA><NA>
33160000CDFH330108198400000219841222<NA>3폐업3폐업20000207<NA><NA><NA><NA><NA>152816서울특별시 구로구 개봉동 403-101번지서울특별시 구로구 개봉로 46 (개봉동)<NA>수정당구장2003-04-18 15:20:21I2018-08-31 23:59:59.0<NA>187232.147986443076.915934당구장업사립<NA>000.0<NA><NA><NA>
43160000CDFH330108198500000119850919<NA>4취소/말소/만료/정지/중지35직권말소20090907<NA><NA><NA>682-1081<NA>152824서울특별시 구로구 고척동 53-2번지<NA><NA>양평당구장2011-06-24 09:41:19I2018-08-31 23:59:59.0<NA>188030.637087444333.370762당구장업사립<NA><NA>00.0<NA><NA><NA>
53160000CDFH330108198600000119860916<NA>3폐업3폐업19990208<NA><NA><NA>867-8941<NA>152869서울특별시 구로구 구로동 701-20번지<NA><NA>칠성당구장2003-04-18 15:20:21I2018-08-31 23:59:59.0<NA><NA><NA>당구장업사립<NA>000.0<NA><NA><NA>
63160000CDFH330108198600000219860429<NA>3폐업3폐업20000125<NA><NA><NA><NA><NA>152831서울특별시 구로구 고척동 194-3번지서울특별시 구로구 고척로 229 (고척동)<NA>대흥당구장2003-04-18 15:20:21I2018-08-31 23:59:59.0<NA>187412.170378444907.290529당구장업사립<NA>000.0<NA><NA><NA>
73160000CDFH330108198700000119870804<NA>4취소/말소/만료/정지/중지35직권말소20210702<NA><NA><NA>856-2398<NA>152860서울특별시 구로구 구로동 543-19서울특별시 구로구 구로중앙로28가길 8 (구로동)8294삼보당구장2021-05-31 09:48:15U2021-06-02 02:40:00.0<NA>189938.092149444176.939296당구장업사립<NA>000.0<NA><NA><NA>
83160000CDFH330108198700000219871128<NA>1영업/정상13영업중<NA><NA><NA><NA>688-7663<NA>152806서울특별시 구로구 개봉동 175-8번지서울특별시 구로구 경인로40길 25 (개봉동)8276청실당구장2010-01-12 14:33:03I2018-08-31 23:59:59.0<NA>187529.287048443706.916313당구장업사립<NA><NA>00.0<NA><NA><NA>
93160000CDFH330108198700000319871226<NA>3폐업3폐업20000620<NA><NA><NA>869-4734<NA>152850서울특별시 구로구 구로동 327-58번지서울특별시 구로구 구로동로26길 81 (구로동)<NA>궁전당구장2003-04-18 15:20:21I2018-08-31 23:59:59.0<NA>190071.151011443132.036168당구장업사립<NA>000.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
4313160000CDFH33010820210000062021-06-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 신도림동 292-3서울특별시 구로구 신도림로11길 44, 3층 (신도림동)8204AS 빌리어즈2024-01-13 12:17:54U2023-11-30 23:05:00.0<NA>189187.772921445263.70069<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4323160000CDFH33010820210000072021-10-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 항동 128-14 와이제이프라자서울특별시 구로구 항동로3길 4, 와이제이프라자 5층 501,502,503,504호 (항동)8368떼굴떼굴 당구클럽2024-01-22 09:14:31U2023-11-30 22:04:00.0<NA>184418.095297442097.135426<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4333160000CDFH330108202100000820211201<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 가리봉동 133-38 아리움서울특별시 구로구 디지털로 235, 3층 (가리봉동, 아리움)8388빌리어즈원2022-11-07 08:09:57U2021-11-01 00:09:00.0<NA>190341.431048442102.089093<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4343160000CDFH33010820220000012022-01-03<NA>3폐업3폐업2024-03-26<NA><NA><NA><NA><NA><NA>서울특별시 구로구 신도림동 400-3 엘림빌딩 701호서울특별시 구로구 신도림로 2, 엘림빌딩 701호 (신도림동)8212보스당구클럽2024-03-26 16:18:46U2023-12-02 22:08:00.0<NA>189078.445479444826.551842<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4353160000CDFH330108202200000220220317<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 가리봉동 126-36 도원빌딩서울특별시 구로구 우마길 19, 도원빌딩 2층 (가리봉동)838719당구장2022-03-17 11:08:25I2022-03-19 00:22:35.0<NA>190079.619986442125.638866당구장업사립<NA>00794.540<NA><NA>
4363160000CDFH33010820230000012023-04-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 온수동 52 세건빌딩서울특별시 구로구 경인로3길 77, 세건빌딩 3층 301호 (온수동)8263프로당구장2023-10-20 10:19:02U2022-10-30 22:02:00.0<NA>184323.391703443297.298791<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4373160000CDFH33010820230000022023-05-22<NA>3폐업3폐업2024-01-22<NA><NA><NA><NA><NA><NA>서울특별시 구로구 고척동 46-21서울특별시 구로구 경인로47다길 8, 2층 201호 (고척동)8222빅박스 당구장2024-01-22 16:48:56U2023-11-30 22:04:00.0<NA>187923.808111444589.593781<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4383160000CDFH33010820230000032023-06-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 141-14 한진빌딩서울특별시 구로구 도림로 75, 한진빌딩 3층 (구로동)8312파크당구장2023-06-09 13:52:24I2022-12-05 23:01:00.0<NA>190356.378018443098.420833<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4393160000CDFH33010820230000042023-07-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 고척동 76-137 의성빌딩서울특별시 구로구 경인로47길 13, 의성빌딩 4층 (고척동)8223세븐 당구장2023-07-07 09:53:40I2022-12-07 00:09:00.0<NA>188148.310903444211.474352<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4403160000CDFH33010820240000012013-02-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 고척동 194-27서울특별시 구로구 고척로 230, B1층 (고척동)8228애플 캐롬 클럽2024-02-05 10:50:56U2023-12-02 00:07:00.0<NA>187424.369586444864.135515<NA><NA><NA><NA><NA><NA><NA><NA><NA>