Overview

Dataset statistics

Number of variables34
Number of observations436
Missing cells4620
Missing cells (%)31.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory123.2 KiB
Average record size in memory289.3 B

Variable types

Categorical12
Text6
DateTime6
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
Author금천구
URLhttps://data.seoul.go.kr/dataList/OA-19644/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 has constant value ""Constant
휴업종료일자 has constant value ""Constant
영업상태코드 is highly imbalanced (54.4%)Imbalance
영업상태명 is highly imbalanced (54.4%)Imbalance
상세영업상태코드 is highly imbalanced (59.8%)Imbalance
상세영업상태명 is highly imbalanced (59.8%)Imbalance
문화체육업종명 is highly imbalanced (58.9%)Imbalance
공사립구분명 is highly imbalanced (58.9%)Imbalance
건축물동수 is highly imbalanced (52.6%)Imbalance
회원모집총인원 is highly imbalanced (92.5%)Imbalance
인허가취소일자 has 436 (100.0%) missing valuesMissing
폐업일자 has 123 (28.2%) missing valuesMissing
휴업시작일자 has 435 (99.8%) missing valuesMissing
휴업종료일자 has 435 (99.8%) missing valuesMissing
재개업일자 has 436 (100.0%) missing valuesMissing
전화번호 has 292 (67.0%) missing valuesMissing
소재지면적 has 436 (100.0%) missing valuesMissing
소재지우편번호 has 38 (8.7%) missing valuesMissing
도로명주소 has 20 (4.6%) missing valuesMissing
도로명우편번호 has 358 (82.1%) missing valuesMissing
업태구분명 has 436 (100.0%) missing valuesMissing
좌표정보(X) has 17 (3.9%) missing valuesMissing
좌표정보(Y) has 17 (3.9%) missing valuesMissing
건축물연면적 has 269 (61.7%) missing valuesMissing
세부업종명 has 436 (100.0%) missing valuesMissing
법인명 has 436 (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 144 (33.0%) zerosZeros

Reproduction

Analysis started2024-05-11 03:49:24.531650
Analysis finished2024-05-11 03:49:26.224863
Duration1.69 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
3170000
436 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3170000
2nd row3170000
3rd row3170000
4th row3170000
5th row3170000

Common Values

ValueCountFrequency (%)
3170000 436
100.0%

Length

2024-05-11T03:49:26.481845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:49:26.837356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3170000 436
100.0%

관리번호
Text

UNIQUE 

Distinct436
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2024-05-11T03:49:27.452811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters8720
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

Unique436 ?
Unique (%)100.0%

Sample

1st rowCDFH3301081910000001
2nd rowCDFH3301081980000001
3rd rowCDFH3301081980000002
4th rowCDFH3301081981000001
5th rowCDFH3301081982000001
ValueCountFrequency (%)
cdfh3301081910000001 1
 
0.2%
cdfh3301082007000001 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 (426) 426
97.7%
2024-05-11T03:49:28.712558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3385
38.8%
3 967
 
11.1%
1 931
 
10.7%
8 569
 
6.5%
C 436
 
5.0%
D 436
 
5.0%
F 436
 
5.0%
H 436
 
5.0%
2 410
 
4.7%
9 395
 
4.5%
Other values (4) 319
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6976
80.0%
Uppercase Letter 1744
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3385
48.5%
3 967
 
13.9%
1 931
 
13.3%
8 569
 
8.2%
2 410
 
5.9%
9 395
 
5.7%
4 89
 
1.3%
6 85
 
1.2%
5 75
 
1.1%
7 70
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 436
25.0%
D 436
25.0%
F 436
25.0%
H 436
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6976
80.0%
Latin 1744
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3385
48.5%
3 967
 
13.9%
1 931
 
13.3%
8 569
 
8.2%
2 410
 
5.9%
9 395
 
5.7%
4 89
 
1.3%
6 85
 
1.2%
5 75
 
1.1%
7 70
 
1.0%
Latin
ValueCountFrequency (%)
C 436
25.0%
D 436
25.0%
F 436
25.0%
H 436
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8720
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3385
38.8%
3 967
 
11.1%
1 931
 
10.7%
8 569
 
6.5%
C 436
 
5.0%
D 436
 
5.0%
F 436
 
5.0%
H 436
 
5.0%
2 410
 
4.7%
9 395
 
4.5%
Other values (4) 319
 
3.7%

인허가일자
Date

Distinct411
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
Minimum1910-01-10 00:00:00
Maximum2023-12-03 00:00:00
2024-05-11T03:49:29.311066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:49:29.820507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing436
Missing (%)100.0%
Memory size4.0 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
3
313 
1
120 
4
 
2
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
3 313
71.8%
1 120
 
27.5%
4 2
 
0.5%
2 1
 
0.2%

Length

2024-05-11T03:49:30.305138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:49:30.667055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 313
71.8%
1 120
 
27.5%
4 2
 
0.5%
2 1
 
0.2%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
폐업
313 
영업/정상
120 
취소/말소/만료/정지/중지
 
2
휴업
 
1

Length

Max length14
Median length2
Mean length2.8807339
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row폐업
2nd row폐업
3rd row영업/정상
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 313
71.8%
영업/정상 120
 
27.5%
취소/말소/만료/정지/중지 2
 
0.5%
휴업 1
 
0.2%

Length

2024-05-11T03:49:31.100765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:49:31.572555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 313
71.8%
영업/정상 120
 
27.5%
취소/말소/만료/정지/중지 2
 
0.5%
휴업 1
 
0.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
3
312 
13
120 
35
 
2
34
 
1
2
 
1

Length

Max length2
Median length1
Mean length1.2821101
Min length1

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
3 312
71.6%
13 120
 
27.5%
35 2
 
0.5%
34 1
 
0.2%
2 1
 
0.2%

Length

2024-05-11T03:49:32.156653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:49:32.586101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 312
71.6%
13 120
 
27.5%
35 2
 
0.5%
34 1
 
0.2%
2 1
 
0.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
폐업
312 
영업중
120 
직권말소
 
2
영업장폐쇄
 
1
휴업
 
1

Length

Max length5
Median length2
Mean length2.2912844
Min length2

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 312
71.6%
영업중 120
 
27.5%
직권말소 2
 
0.5%
영업장폐쇄 1
 
0.2%
휴업 1
 
0.2%

Length

2024-05-11T03:49:33.083726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:49:33.584137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 312
71.6%
영업중 120
 
27.5%
직권말소 2
 
0.5%
영업장폐쇄 1
 
0.2%
휴업 1
 
0.2%

폐업일자
Date

MISSING 

Distinct280
Distinct (%)89.5%
Missing123
Missing (%)28.2%
Memory size3.5 KiB
Minimum1995-06-22 00:00:00
Maximum2024-02-29 00:00:00
2024-05-11T03:49:34.014228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:49:34.638649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing435
Missing (%)99.8%
Memory size3.5 KiB
Minimum2023-11-02 00:00:00
Maximum2023-11-02 00:00:00
2024-05-11T03:49:35.018209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:49:35.373381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

휴업종료일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing435
Missing (%)99.8%
Memory size3.5 KiB
Minimum2024-05-02 00:00:00
Maximum2024-05-02 00:00:00
2024-05-11T03:49:35.639737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:49:36.072071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing436
Missing (%)100.0%
Memory size4.0 KiB

전화번호
Text

MISSING 

Distinct138
Distinct (%)95.8%
Missing292
Missing (%)67.0%
Memory size3.5 KiB
2024-05-11T03:49:37.242325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length8
Mean length8.6319444
Min length8

Characters and Unicode

Total characters1243
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique132 ?
Unique (%)91.7%

Sample

1st row805-8022
2nd row857-6210
3rd row856-8153
4th row854-6892
5th row855-5861
ValueCountFrequency (%)
851-0867 2
 
1.4%
808-2960 2
 
1.4%
854-6892 2
 
1.4%
857-6210 2
 
1.4%
855-5861 2
 
1.4%
807-5903 2
 
1.4%
802-4148 1
 
0.7%
868-3949 1
 
0.7%
2029-6244 1
 
0.7%
822-4289 1
 
0.7%
Other values (129) 129
89.0%
2024-05-11T03:49:39.106398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 209
16.8%
- 163
13.1%
0 130
10.5%
6 116
9.3%
9 114
9.2%
5 106
8.5%
2 104
8.4%
4 94
7.6%
3 85
6.8%
7 69
 
5.6%
Other values (5) 53
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1076
86.6%
Dash Punctuation 163
 
13.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 209
19.4%
0 130
12.1%
6 116
10.8%
9 114
10.6%
5 106
9.9%
2 104
9.7%
4 94
8.7%
3 85
7.9%
7 69
 
6.4%
1 49
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 163
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1243
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 209
16.8%
- 163
13.1%
0 130
10.5%
6 116
9.3%
9 114
9.2%
5 106
8.5%
2 104
8.4%
4 94
7.6%
3 85
6.8%
7 69
 
5.6%
Other values (5) 53
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1243
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 209
16.8%
- 163
13.1%
0 130
10.5%
6 116
9.3%
9 114
9.2%
5 106
8.5%
2 104
8.4%
4 94
7.6%
3 85
6.8%
7 69
 
5.6%
Other values (5) 53
 
4.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing436
Missing (%)100.0%
Memory size4.0 KiB

소재지우편번호
Text

MISSING 

Distinct79
Distinct (%)19.8%
Missing38
Missing (%)8.7%
Memory size3.5 KiB
2024-05-11T03:49:40.025662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.040201
Min length6

Characters and Unicode

Total characters2404
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

Unique30 ?
Unique (%)7.5%

Sample

1st row153806
2nd row153832
3rd row153811
4th row153801
5th row153808
ValueCountFrequency (%)
153801 46
 
11.6%
153858 27
 
6.8%
153813 25
 
6.3%
153803 14
 
3.5%
153829 14
 
3.5%
153807 12
 
3.0%
153821 12
 
3.0%
153864 11
 
2.8%
153806 11
 
2.8%
153823 11
 
2.8%
Other values (69) 215
54.0%
2024-05-11T03:49:41.386517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 545
22.7%
3 519
21.6%
5 475
19.8%
8 396
16.5%
0 184
 
7.7%
2 91
 
3.8%
6 62
 
2.6%
9 41
 
1.7%
7 40
 
1.7%
4 35
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2388
99.3%
Dash Punctuation 16
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 545
22.8%
3 519
21.7%
5 475
19.9%
8 396
16.6%
0 184
 
7.7%
2 91
 
3.8%
6 62
 
2.6%
9 41
 
1.7%
7 40
 
1.7%
4 35
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2404
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 545
22.7%
3 519
21.6%
5 475
19.8%
8 396
16.5%
0 184
 
7.7%
2 91
 
3.8%
6 62
 
2.6%
9 41
 
1.7%
7 40
 
1.7%
4 35
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2404
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 545
22.7%
3 519
21.6%
5 475
19.8%
8 396
16.5%
0 184
 
7.7%
2 91
 
3.8%
6 62
 
2.6%
9 41
 
1.7%
7 40
 
1.7%
4 35
 
1.5%

지번주소
Text

Distinct382
Distinct (%)87.6%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2024-05-11T03:49:42.306873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length43
Mean length24.022936
Min length13

Characters and Unicode

Total characters10474
Distinct characters129
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique340 ?
Unique (%)78.0%

Sample

1st row서울특별시 금천구 독산동 145-2번지
2nd row서울특별시 금천구 독산동 1054-8번지
3rd row서울특별시 금천구 독산동 286-8
4th row서울특별시 금천구 가산동 151-50번지
5th row서울특별시 금천구 독산동 192-16번지
ValueCountFrequency (%)
서울특별시 436
23.0%
금천구 436
23.0%
독산동 188
 
9.9%
시흥동 147
 
7.7%
가산동 101
 
5.3%
2층 14
 
0.7%
지하1층 11
 
0.6%
3층 10
 
0.5%
891-5번지 4
 
0.2%
984-0번지 4
 
0.2%
Other values (462) 548
28.9%
2024-05-11T03:49:43.711709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1849
17.7%
시 591
 
5.6%
1 481
 
4.6%
동 446
 
4.3%
금 438
 
4.2%
서 437
 
4.2%
울 437
 
4.2%
특 436
 
4.2%
별 436
 
4.2%
천 436
 
4.2%
Other values (119) 4487
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5971
57.0%
Decimal Number 2204
 
21.0%
Space Separator 1849
 
17.7%
Dash Punctuation 409
 
3.9%
Uppercase Letter 28
 
0.3%
Other Punctuation 8
 
0.1%
Lowercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 591
 
9.9%
동 446
 
7.5%
금 438
 
7.3%
서 437
 
7.3%
울 437
 
7.3%
특 436
 
7.3%
별 436
 
7.3%
천 436
 
7.3%
구 436
 
7.3%
지 390
 
6.5%
Other values (91) 1488
24.9%
Decimal Number
ValueCountFrequency (%)
1 481
21.8%
2 247
11.2%
0 237
10.8%
9 232
10.5%
3 222
10.1%
8 212
9.6%
4 179
 
8.1%
5 156
 
7.1%
7 128
 
5.8%
6 110
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 12
42.9%
T 3
 
10.7%
A 3
 
10.7%
I 2
 
7.1%
J 2
 
7.1%
S 2
 
7.1%
O 1
 
3.6%
W 1
 
3.6%
E 1
 
3.6%
R 1
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
t 1
50.0%
i 1
50.0%
Space Separator
ValueCountFrequency (%)
1849
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 409
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5971
57.0%
Common 4473
42.7%
Latin 30
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 591
 
9.9%
동 446
 
7.5%
금 438
 
7.3%
서 437
 
7.3%
울 437
 
7.3%
특 436
 
7.3%
별 436
 
7.3%
천 436
 
7.3%
구 436
 
7.3%
지 390
 
6.5%
Other values (91) 1488
24.9%
Common
ValueCountFrequency (%)
1849
41.3%
1 481
 
10.8%
- 409
 
9.1%
2 247
 
5.5%
0 237
 
5.3%
9 232
 
5.2%
3 222
 
5.0%
8 212
 
4.7%
4 179
 
4.0%
5 156
 
3.5%
Other values (6) 249
 
5.6%
Latin
ValueCountFrequency (%)
B 12
40.0%
T 3
 
10.0%
A 3
 
10.0%
I 2
 
6.7%
J 2
 
6.7%
S 2
 
6.7%
O 1
 
3.3%
W 1
 
3.3%
E 1
 
3.3%
R 1
 
3.3%
Other values (2) 2
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5971
57.0%
ASCII 4503
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1849
41.1%
1 481
 
10.7%
- 409
 
9.1%
2 247
 
5.5%
0 237
 
5.3%
9 232
 
5.2%
3 222
 
4.9%
8 212
 
4.7%
4 179
 
4.0%
5 156
 
3.5%
Other values (18) 279
 
6.2%
Hangul
ValueCountFrequency (%)
시 591
 
9.9%
동 446
 
7.5%
금 438
 
7.3%
서 437
 
7.3%
울 437
 
7.3%
특 436
 
7.3%
별 436
 
7.3%
천 436
 
7.3%
구 436
 
7.3%
지 390
 
6.5%
Other values (91) 1488
24.9%

도로명주소
Text

MISSING 

Distinct375
Distinct (%)90.1%
Missing20
Missing (%)4.6%
Memory size3.5 KiB
2024-05-11T03:49:44.614627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length47
Mean length27.901442
Min length21

Characters and Unicode

Total characters11607
Distinct characters151
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique342 ?
Unique (%)82.2%

Sample

1st row서울특별시 금천구 시흥대로 485 (독산동)
2nd row서울특별시 금천구 시흥대로 344 (독산동)
3rd row서울특별시 금천구 시흥대로 406 (독산동)
4th row서울특별시 금천구 가산로 126 (가산동)
5th row서울특별시 금천구 독산로 248 (독산동)
ValueCountFrequency (%)
서울특별시 416
18.8%
금천구 416
18.8%
독산동 155
 
7.0%
시흥동 118
 
5.3%
독산로 78
 
3.5%
가산동 69
 
3.1%
시흥대로 62
 
2.8%
가산로 28
 
1.3%
가산디지털1로 17
 
0.8%
남부순환로 15
 
0.7%
Other values (437) 841
38.0%
2024-05-11T03:49:46.123021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2094
 
18.0%
시 689
 
5.9%
산 463
 
4.0%
금 443
 
3.8%
동 426
 
3.7%
서 419
 
3.6%
울 417
 
3.6%
) 417
 
3.6%
( 417
 
3.6%
천 417
 
3.6%
Other values (141) 5405
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6818
58.7%
Space Separator 2094
 
18.0%
Decimal Number 1661
 
14.3%
Close Punctuation 417
 
3.6%
Open Punctuation 417
 
3.6%
Other Punctuation 152
 
1.3%
Uppercase Letter 24
 
0.2%
Dash Punctuation 21
 
0.2%
Lowercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 689
 
10.1%
산 463
 
6.8%
금 443
 
6.5%
동 426
 
6.2%
서 419
 
6.1%
울 417
 
6.1%
천 417
 
6.1%
별 416
 
6.1%
특 416
 
6.1%
구 416
 
6.1%
Other values (117) 2296
33.7%
Decimal Number
ValueCountFrequency (%)
1 359
21.6%
2 273
16.4%
3 231
13.9%
4 148
8.9%
0 120
 
7.2%
5 118
 
7.1%
6 116
 
7.0%
8 106
 
6.4%
7 103
 
6.2%
9 87
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
B 15
62.5%
A 3
 
12.5%
S 2
 
8.3%
J 2
 
8.3%
T 1
 
4.2%
I 1
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
t 1
50.0%
i 1
50.0%
Space Separator
ValueCountFrequency (%)
2094
100.0%
Close Punctuation
ValueCountFrequency (%)
) 417
100.0%
Open Punctuation
ValueCountFrequency (%)
( 417
100.0%
Other Punctuation
ValueCountFrequency (%)
, 152
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6818
58.7%
Common 4763
41.0%
Latin 26
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 689
 
10.1%
산 463
 
6.8%
금 443
 
6.5%
동 426
 
6.2%
서 419
 
6.1%
울 417
 
6.1%
천 417
 
6.1%
별 416
 
6.1%
특 416
 
6.1%
구 416
 
6.1%
Other values (117) 2296
33.7%
Common
ValueCountFrequency (%)
2094
44.0%
) 417
 
8.8%
( 417
 
8.8%
1 359
 
7.5%
2 273
 
5.7%
3 231
 
4.8%
, 152
 
3.2%
4 148
 
3.1%
0 120
 
2.5%
5 118
 
2.5%
Other values (6) 434
 
9.1%
Latin
ValueCountFrequency (%)
B 15
57.7%
A 3
 
11.5%
S 2
 
7.7%
J 2
 
7.7%
t 1
 
3.8%
T 1
 
3.8%
I 1
 
3.8%
i 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6818
58.7%
ASCII 4789
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2094
43.7%
) 417
 
8.7%
( 417
 
8.7%
1 359
 
7.5%
2 273
 
5.7%
3 231
 
4.8%
, 152
 
3.2%
4 148
 
3.1%
0 120
 
2.5%
5 118
 
2.5%
Other values (14) 460
 
9.6%
Hangul
ValueCountFrequency (%)
시 689
 
10.1%
산 463
 
6.8%
금 443
 
6.5%
동 426
 
6.2%
서 419
 
6.1%
울 417
 
6.1%
천 417
 
6.1%
별 416
 
6.1%
특 416
 
6.1%
구 416
 
6.1%
Other values (117) 2296
33.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)73.1%
Missing358
Missing (%)82.1%
Infinite0
Infinite (%)0.0%
Mean25320.603
Minimum8501
Maximum153858
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-05-11T03:49:46.702523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8501
5-th percentile8505.7
Q18526
median8575.5
Q38630
95-th percentile153809.5
Maximum153858
Range145357
Interquartile range (IQR)104

Descriptive statistics

Standard deviation46674.683
Coefficient of variation (CV)1.843348
Kurtosis4.1333943
Mean25320.603
Median Absolute Deviation (MAD)52.5
Skewness2.4551978
Sum1975007
Variance2.178526 × 109
MonotonicityNot monotonic
2024-05-11T03:49:47.480916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8628 4
 
0.9%
8526 3
 
0.7%
8568 3
 
0.7%
8501 2
 
0.5%
8614 2
 
0.5%
8626 2
 
0.5%
8624 2
 
0.5%
8630 2
 
0.5%
8552 2
 
0.5%
8573 2
 
0.5%
Other values (47) 54
 
12.4%
(Missing) 358
82.1%
ValueCountFrequency (%)
8501 2
0.5%
8502 1
0.2%
8504 1
0.2%
8506 1
0.2%
8510 1
0.2%
8511 2
0.5%
8512 1
0.2%
8514 1
0.2%
8515 1
0.2%
8519 1
0.2%
ValueCountFrequency (%)
153858 1
0.2%
153857 1
0.2%
153823 1
0.2%
153818 1
0.2%
153808 1
0.2%
153807 1
0.2%
153776 1
0.2%
153760 1
0.2%
153023 1
0.2%
8649 1
0.2%

사업장명
Text

Distinct352
Distinct (%)80.7%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2024-05-11T03:49:48.164976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length4.4655963
Min length1

Characters and Unicode

Total characters1947
Distinct characters301
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

Unique290 ?
Unique (%)66.5%

Sample

1st row태양
2nd row준
3rd row에이스당구장
4th row본전
5th row거북
ValueCountFrequency (%)
당구장 39
 
7.7%
당구클럽 20
 
4.0%
특실 8
 
1.6%
에이스 7
 
1.4%
썬당구장 6
 
1.2%
현대당구장 5
 
1.0%
왕 4
 
0.8%
sbs 4
 
0.8%
프로당구장 4
 
0.8%
마스타 4
 
0.8%
Other values (336) 404
80.0%
2024-05-11T03:49:49.691062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 253
 
13.0%
당 248
 
12.7%
장 183
 
9.4%
69
 
3.5%
스 61
 
3.1%
클 61
 
3.1%
럽 61
 
3.1%
이 38
 
2.0%
리 23
 
1.2%
대 23
 
1.2%
Other values (291) 927
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1771
91.0%
Space Separator 69
 
3.5%
Uppercase Letter 62
 
3.2%
Decimal Number 21
 
1.1%
Lowercase Letter 14
 
0.7%
Other Punctuation 6
 
0.3%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 253
 
14.3%
당 248
 
14.0%
장 183
 
10.3%
스 61
 
3.4%
클 61
 
3.4%
럽 61
 
3.4%
이 38
 
2.1%
리 23
 
1.3%
대 23
 
1.3%
에 22
 
1.2%
Other values (251) 798
45.1%
Uppercase Letter
ValueCountFrequency (%)
S 18
29.0%
B 13
21.0%
K 4
 
6.5%
I 4
 
6.5%
G 4
 
6.5%
M 3
 
4.8%
T 2
 
3.2%
J 2
 
3.2%
P 2
 
3.2%
V 2
 
3.2%
Other values (7) 8
12.9%
Lowercase Letter
ValueCountFrequency (%)
a 2
14.3%
l 2
14.3%
s 2
14.3%
i 2
14.3%
k 1
7.1%
d 1
7.1%
r 1
7.1%
y 1
7.1%
m 1
7.1%
e 1
7.1%
Decimal Number
ValueCountFrequency (%)
2 8
38.1%
5 4
19.0%
0 3
 
14.3%
9 2
 
9.5%
1 1
 
4.8%
4 1
 
4.8%
6 1
 
4.8%
3 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
. 4
66.7%
& 2
33.3%
Space Separator
ValueCountFrequency (%)
69
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1771
91.0%
Common 100
 
5.1%
Latin 76
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 253
 
14.3%
당 248
 
14.0%
장 183
 
10.3%
스 61
 
3.4%
클 61
 
3.4%
럽 61
 
3.4%
이 38
 
2.1%
리 23
 
1.3%
대 23
 
1.3%
에 22
 
1.2%
Other values (251) 798
45.1%
Latin
ValueCountFrequency (%)
S 18
23.7%
B 13
17.1%
K 4
 
5.3%
I 4
 
5.3%
G 4
 
5.3%
M 3
 
3.9%
a 2
 
2.6%
l 2
 
2.6%
s 2
 
2.6%
T 2
 
2.6%
Other values (17) 22
28.9%
Common
ValueCountFrequency (%)
69
69.0%
2 8
 
8.0%
5 4
 
4.0%
. 4
 
4.0%
0 3
 
3.0%
& 2
 
2.0%
( 2
 
2.0%
) 2
 
2.0%
9 2
 
2.0%
1 1
 
1.0%
Other values (3) 3
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1771
91.0%
ASCII 176
 
9.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 253
 
14.3%
당 248
 
14.0%
장 183
 
10.3%
스 61
 
3.4%
클 61
 
3.4%
럽 61
 
3.4%
이 38
 
2.1%
리 23
 
1.3%
대 23
 
1.3%
에 22
 
1.2%
Other values (251) 798
45.1%
ASCII
ValueCountFrequency (%)
69
39.2%
S 18
 
10.2%
B 13
 
7.4%
2 8
 
4.5%
5 4
 
2.3%
K 4
 
2.3%
I 4
 
2.3%
G 4
 
2.3%
. 4
 
2.3%
0 3
 
1.7%
Other values (30) 45
25.6%

최종수정일자
Date

Distinct298
Distinct (%)68.3%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
Minimum2003-02-06 13:43:32
Maximum2024-05-02 09:25:20
2024-05-11T03:49:50.068636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:49:50.475205image/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 size3.5 KiB
I
356 
U
80 

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 356
81.7%
U 80
 
18.3%

Length

2024-05-11T03:49:50.860477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:49:51.120146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 356
81.7%
u 80
 
18.3%

데이터갱신일자
Date

Distinct66
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:04:00
2024-05-11T03:49:51.422876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:49:51.800292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing436
Missing (%)100.0%
Memory size4.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct318
Distinct (%)75.9%
Missing17
Missing (%)3.9%
Infinite0
Infinite (%)0.0%
Mean190884.79
Minimum188830.03
Maximum192190.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-05-11T03:49:52.214703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum188830.03
5-th percentile189512.12
Q1190471.56
median191069.36
Q3191370.47
95-th percentile191796.21
Maximum192190.36
Range3360.3321
Interquartile range (IQR)898.91743

Descriptive statistics

Standard deviation679.30758
Coefficient of variation (CV)0.0035587309
Kurtosis0.12159912
Mean190884.79
Median Absolute Deviation (MAD)362.68889
Skewness-0.85328839
Sum79980725
Variance461458.79
MonotonicityNot monotonic
2024-05-11T03:49:52.652169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
191226.287379467 7
 
1.6%
190167.488198138 4
 
0.9%
191196.941666383 4
 
0.9%
191334.316393386 4
 
0.9%
191031.986587614 3
 
0.7%
191527.256147461 3
 
0.7%
190668.161430053 3
 
0.7%
190489.654580536 3
 
0.7%
190999.733581081 3
 
0.7%
191266.298793349 3
 
0.7%
Other values (308) 382
87.6%
(Missing) 17
 
3.9%
ValueCountFrequency (%)
188830.030176986 1
0.2%
188870.636085641 1
0.2%
189055.138252216 2
0.5%
189089.927764903 2
0.5%
189202.600232089 1
0.2%
189228.86148312 2
0.5%
189232.30642848 2
0.5%
189238.017238916 1
0.2%
189282.557380259 1
0.2%
189314.711435401 1
0.2%
ValueCountFrequency (%)
192190.362233439 1
 
0.2%
192089.90276324 1
 
0.2%
192062.775782626 1
 
0.2%
191986.703337779 2
0.5%
191978.838883558 1
 
0.2%
191936.282312791 1
 
0.2%
191917.450107657 1
 
0.2%
191911.448935236 3
0.7%
191908.73221324 1
 
0.2%
191866.631604803 1
 
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct318
Distinct (%)75.9%
Missing17
Missing (%)3.9%
Infinite0
Infinite (%)0.0%
Mean440448.44
Minimum436897.47
Maximum442585.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-05-11T03:49:53.073604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum436897.47
5-th percentile438480.59
Q1439209.59
median440763.45
Q3441554.22
95-th percentile442050.35
Maximum442585.93
Range5688.4671
Interquartile range (IQR)2344.627

Descriptive statistics

Standard deviation1287.3239
Coefficient of variation (CV)0.0029227573
Kurtosis-0.88364539
Mean440448.44
Median Absolute Deviation (MAD)985.53032
Skewness-0.4489177
Sum1.845479 × 108
Variance1657202.9
MonotonicityNot monotonic
2024-05-11T03:49:53.487575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
437914.06299827 7
 
1.6%
441090.962986514 4
 
0.9%
439261.70857801 4
 
0.9%
438828.260662611 4
 
0.9%
439209.588198806 3
 
0.7%
441955.938106298 3
 
0.7%
441118.006804771 3
 
0.7%
440569.045195958 3
 
0.7%
441169.149711408 3
 
0.7%
440445.372389278 3
 
0.7%
Other values (308) 382
87.6%
(Missing) 17
 
3.9%
ValueCountFrequency (%)
436897.466167682 1
 
0.2%
436909.870493711 1
 
0.2%
437201.219526812 1
 
0.2%
437653.308606196 1
 
0.2%
437686.335605306 1
 
0.2%
437689.38449215 1
 
0.2%
437792.713058127 1
 
0.2%
437837.013452791 2
 
0.5%
437901.086256157 2
 
0.5%
437914.06299827 7
1.6%
ValueCountFrequency (%)
442585.933234852 1
0.2%
442569.300676147 2
0.5%
442553.141302572 1
0.2%
442538.866901281 1
0.2%
442478.356256941 2
0.5%
442453.821506931 1
0.2%
442417.955057116 1
0.2%
442309.174987731 1
0.2%
442252.556978068 2
0.5%
442236.253610783 1
0.2%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
당구장업
400 
<NA>
 
36

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 400
91.7%
<NA> 36
 
8.3%

Length

2024-05-11T03:49:53.864929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:49:54.149764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 400
91.7%
na 36
 
8.3%

공사립구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
사립
400 
<NA>
 
36

Length

Max length4
Median length2
Mean length2.1651376
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 400
91.7%
<NA> 36
 
8.3%

Length

2024-05-11T03:49:54.525968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:49:54.875212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 400
91.7%
na 36
 
8.3%

보험가입여부코드
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
340 
0
96 

Length

Max length4
Median length4
Mean length3.3394495
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 340
78.0%
0 96
 
22.0%

Length

2024-05-11T03:49:55.211138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:49:55.547352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 340
78.0%
0 96
 
22.0%

지도자수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
293 
0
143 

Length

Max length4
Median length4
Mean length3.016055
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 293
67.2%
0 143
32.8%

Length

2024-05-11T03:49:55.912616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:49:56.261014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 293
67.2%
0 143
32.8%

건축물동수
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
280 
0
145 
1
 
8
3
 
2
2
 
1

Length

Max length4
Median length4
Mean length2.9266055
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 280
64.2%
0 145
33.3%
1 8
 
1.8%
3 2
 
0.5%
2 1
 
0.2%

Length

2024-05-11T03:49:56.628203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:49:57.033376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 280
64.2%
0 145
33.3%
1 8
 
1.8%
3 2
 
0.5%
2 1
 
0.2%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)13.8%
Missing269
Missing (%)61.7%
Infinite0
Infinite (%)0.0%
Mean2382.2157
Minimum0
Maximum190392.75
Zeros144
Zeros (%)33.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-05-11T03:49:57.388645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile909.482
Maximum190392.75
Range190392.75
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17057.97
Coefficient of variation (CV)7.1605479
Kurtosis92.873758
Mean2382.2157
Median Absolute Deviation (MAD)0
Skewness9.118166
Sum397830.03
Variance2.9097434 × 108
MonotonicityNot monotonic
2024-05-11T03:49:57.895908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.0 144
33.0%
492.7 2
 
0.5%
134.0 1
 
0.2%
1029.0 1
 
0.2%
329.01 1
 
0.2%
996.5 1
 
0.2%
64469.0 1
 
0.2%
1499.5 1
 
0.2%
706.44 1
 
0.2%
74379.84 1
 
0.2%
Other values (13) 13
 
3.0%
(Missing) 269
61.7%
ValueCountFrequency (%)
0.0 144
33.0%
81.2 1
 
0.2%
81.5 1
 
0.2%
97.0 1
 
0.2%
99.0 1
 
0.2%
134.0 1
 
0.2%
137.6 1
 
0.2%
174.0 1
 
0.2%
181.0 1
 
0.2%
194.0 1
 
0.2%
ValueCountFrequency (%)
190392.75 1
0.2%
74379.84 1
0.2%
64469.0 1
0.2%
57398.0 1
0.2%
3182.73 1
0.2%
1499.5 1
0.2%
1088.0 1
0.2%
1029.0 1
0.2%
996.5 1
0.2%
706.44 1
0.2%

회원모집총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
432 
0
 
4

Length

Max length4
Median length4
Mean length3.9724771
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> 432
99.1%
0 4
 
0.9%

Length

2024-05-11T03:49:58.350944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:49:58.807516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 432
99.1%
0 4
 
0.9%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing436
Missing (%)100.0%
Memory size4.0 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing436
Missing (%)100.0%
Memory size4.0 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03170000CDFH330108191000000119100110<NA>3폐업3폐업19980826<NA><NA><NA><NA><NA>153806서울특별시 금천구 독산동 145-2번지서울특별시 금천구 시흥대로 485 (독산동)<NA>태양2003-02-06 13:43:32I2018-08-31 23:59:59.0<NA>190929.073324441639.582672당구장업사립<NA>000.0<NA><NA><NA>
13170000CDFH330108198000000119801129<NA>3폐업3폐업20020520<NA><NA><NA>805-8022<NA>153832서울특별시 금천구 독산동 1054-8번지서울특별시 금천구 시흥대로 344 (독산동)<NA>준2005-12-22 10:11:07I2018-08-31 23:59:59.0<NA>190908.767135440240.235691당구장업사립0<NA><NA><NA><NA><NA><NA>
23170000CDFH330108198000000219801217<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>153811서울특별시 금천구 독산동 286-8서울특별시 금천구 시흥대로 406 (독산동)<NA>에이스당구장2021-04-19 19:28:07U2021-04-21 02:40:00.0<NA>190941.875019440840.345127당구장업사립<NA><NA><NA>194.0<NA><NA><NA>
33170000CDFH330108198100000119810710<NA>3폐업3폐업19990129<NA><NA><NA><NA><NA>153801서울특별시 금천구 가산동 151-50번지서울특별시 금천구 가산로 126 (가산동)<NA>본전2003-02-06 13:43:32I2018-08-31 23:59:59.0<NA>190413.613207441627.420448당구장업사립<NA>000.0<NA><NA><NA>
43170000CDFH330108198200000119820407<NA>3폐업3폐업20000620<NA><NA><NA><NA><NA>153808서울특별시 금천구 독산동 192-16번지서울특별시 금천구 독산로 248 (독산동)<NA>거북2003-02-06 13:43:32I2018-08-31 23:59:59.0<NA>191316.489169440754.140257당구장업사립<NA>000.0<NA><NA><NA>
53170000CDFH330108198300000119830120<NA>3폐업3폐업19980826<NA><NA><NA><NA><NA>153844서울특별시 금천구 시흥동 270-2번지서울특별시 금천구 금하로 748 (시흥동)<NA>특실2003-02-06 13:43:32I2018-08-31 23:59:59.0<NA>192190.362233438640.886622당구장업사립<NA>000.0<NA><NA><NA>
63170000CDFH330108198300000219830222<NA>3폐업3폐업20010831<NA><NA><NA><NA><NA>153857서울특별시 금천구 시흥동 881-43번지서울특별시 금천구 시흥대로64길 4 (시흥동)<NA>영일2003-02-06 13:43:32I2018-08-31 23:59:59.0<NA>191196.941666439261.708578당구장업사립<NA>000.0<NA><NA><NA>
73170000CDFH330108198300000319830516<NA>3폐업3폐업20040831<NA><NA><NA>857-6210<NA>153813서울특별시 금천구 독산동 297-7번지서울특별시 금천구 가산로 75 (독산동)<NA>특실2004-11-30 13:42:59I2018-08-31 23:59:59.0<NA>190644.004546441201.755803당구장업사립0<NA><NA><NA><NA><NA><NA>
83170000CDFH330108198300000419830601<NA>3폐업3폐업20060629<NA><NA><NA>856-8153<NA>153823서울특별시 금천구 독산동 959-12번지서울특별시 금천구 독산로 353 (독산동)<NA>한일2006-06-29 14:46:36I2018-08-31 23:59:59.0<NA>191400.600073441801.751902당구장업사립0<NA><NA><NA><NA><NA><NA>
93170000CDFH330108198300000519831122<NA>3폐업3폐업20000921<NA><NA><NA><NA><NA>153803서울특별시 금천구 가산동 458-12번지서울특별시 금천구 가산디지털2로 142-3 (가산동)<NA>공단2003-02-06 13:43:32I2018-08-31 23:59:59.0<NA>189238.017239442045.919863당구장업사립<NA>000.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
4263170000CDFH330108202000000220200212<NA>3폐업3폐업20220531<NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 543-1 대성디폴리스지식산업센터서울특별시 금천구 서부샛길 606, 대성디폴리스지식산업센터 지하1층 106호 (가산동)8504대성당구장2022-06-03 09:05:58U2021-12-06 00:08:00.0<NA>189055.138252441958.334401<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4273170000CDFH33010820200000032020-04-21<NA>1영업/정상13영업중<NA><NA><NA><NA>02-892-6398<NA><NA>서울특별시 금천구 시흥동 802-27 덕산빌딩 401호서울특별시 금천구 독산로 142, 덕산빌딩 401호 (시흥동)8568법원당구장2023-10-23 11:12:18U2022-10-30 22:05:00.0<NA>191538.228352439773.967202<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4283170000CDFH330108202100000120210128<NA>3폐업3폐업20210225<NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 335-15서울특별시 금천구 가산로3길 105, 2층 (독산동)8526왕당구장2021-02-25 14:35:33U2021-02-27 02:40:00.0<NA>190167.488198441090.962987당구장업사립<NA><NA><NA><NA><NA><NA><NA>
4293170000CDFH330108202100000220210215<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 888-1서울특별시 금천구 시흥대로52길 46, 3층 (시흥동)8628골드당구장2021-02-15 17:43:04I2021-02-17 00:23:02.0<NA>191266.927537439046.217441당구장업사립<NA><NA><NA><NA><NA><NA><NA>
4303170000CDFH33010820210000032021-09-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 974-25서울특별시 금천구 독산로 324, 2층 (독산동)8552태양당구장2023-10-23 11:12:37U2022-10-30 22:05:00.0<NA>191419.12175441496.744882<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4313170000CDFH330108202200000120220519<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 879-16서울특별시 금천구 금하로 631-6, 4층 (시흥동)8626큐당구장2022-05-19 13:12:09I2021-12-04 22:01:00.0<NA>191210.780436439226.378617<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4323170000CDFH33010820220000022022-06-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 335-15서울특별시 금천구 가산로3길 105, 2층 (독산동)8526왕 당구장2024-03-26 13:59:54U2023-12-02 22:08:00.0<NA>190167.488198441090.962987<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4333170000CDFH33010820220000032022-08-31<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 60-8 현대시티아울렛 가산점서울특별시 금천구 디지털로10길 9, 현대시티아울렛 가산점 4층 402호 (가산동)8514B&B클럽2023-10-23 11:17:48U2022-10-30 22:05:00.0<NA>190119.463376441716.684586<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4343170000CDFH33010820230000012023-04-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 124-10서울특별시 금천구 시흥대로71길 44, 3층 (시흥동)8614SBS 당구클럽2023-04-05 09:07:43I2022-12-04 00:07:00.0<NA>191031.986588439209.588199<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4353170000CDFH33010820230000022023-12-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 1009-34서울특별시 금천구 시흥대로 347, 지하1층 (독산동)8604My Games2023-12-03 13:25:35I2022-11-02 00:05:00.0<NA>190821.387884440268.177625<NA><NA><NA><NA><NA><NA><NA><NA><NA>