Overview

Dataset statistics

Number of variables34
Number of observations443
Missing cells3912
Missing cells (%)26.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory126.0 KiB
Average record size in memory291.3 B

Variable types

Categorical13
Text6
DateTime4
Unsupported7
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
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-19640/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (97.7%)Imbalance
영업상태코드 is highly imbalanced (52.4%)Imbalance
영업상태명 is highly imbalanced (52.4%)Imbalance
상세영업상태코드 is highly imbalanced (52.4%)Imbalance
상세영업상태명 is highly imbalanced (52.4%)Imbalance
문화체육업종명 is highly imbalanced (70.6%)Imbalance
공사립구분명 is highly imbalanced (70.6%)Imbalance
회원모집총인원 is highly imbalanced (92.6%)Imbalance
폐업일자 has 92 (20.8%) missing valuesMissing
휴업시작일자 has 443 (100.0%) missing valuesMissing
휴업종료일자 has 443 (100.0%) missing valuesMissing
재개업일자 has 443 (100.0%) missing valuesMissing
전화번호 has 85 (19.2%) missing valuesMissing
소재지면적 has 443 (100.0%) missing valuesMissing
소재지우편번호 has 44 (9.9%) missing valuesMissing
도로명주소 has 43 (9.7%) missing valuesMissing
도로명우편번호 has 294 (66.4%) missing valuesMissing
업태구분명 has 443 (100.0%) missing valuesMissing
좌표정보(X) has 27 (6.1%) missing valuesMissing
좌표정보(Y) has 27 (6.1%) missing valuesMissing
건축물연면적 has 199 (44.9%) missing valuesMissing
세부업종명 has 443 (100.0%) missing valuesMissing
법인명 has 443 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
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 234 (52.8%) zerosZeros

Reproduction

Analysis started2024-05-11 02:47:26.546656
Analysis finished2024-05-11 02:47:28.465193
Duration1.92 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
3130000
443 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3130000
2nd row3130000
3rd row3130000
4th row3130000
5th row3130000

Common Values

ValueCountFrequency (%)
3130000 443
100.0%

Length

2024-05-11T02:47:28.655661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:47:29.379425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 443
100.0%

관리번호
Text

UNIQUE 

Distinct443
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-05-11T02:47:30.294175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters8860
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

Unique443 ?
Unique (%)100.0%

Sample

1st rowCDFH3301081964000001
2nd rowCDFH3301081968000001
3rd rowCDFH3301081977000001
4th rowCDFH3301081982000001
5th rowCDFH3301081984000002
ValueCountFrequency (%)
cdfh3301081964000001 1
 
0.2%
cdfh3301082004000010 1
 
0.2%
cdfh3301082005000008 1
 
0.2%
cdfh3301082005000006 1
 
0.2%
cdfh3301082005000004 1
 
0.2%
cdfh3301082005000003 1
 
0.2%
cdfh3301082005000002 1
 
0.2%
cdfh3301082004000020 1
 
0.2%
cdfh3301082004000018 1
 
0.2%
cdfh3301082004000017 1
 
0.2%
Other values (433) 433
97.7%
2024-05-11T02:47:31.564081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3255
36.7%
3 990
 
11.2%
1 955
 
10.8%
9 562
 
6.3%
8 558
 
6.3%
C 443
 
5.0%
D 443
 
5.0%
F 443
 
5.0%
H 443
 
5.0%
2 335
 
3.8%
Other values (4) 433
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7088
80.0%
Uppercase Letter 1772
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3255
45.9%
3 990
 
14.0%
1 955
 
13.5%
9 562
 
7.9%
8 558
 
7.9%
2 335
 
4.7%
4 129
 
1.8%
5 109
 
1.5%
6 106
 
1.5%
7 89
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
C 443
25.0%
D 443
25.0%
F 443
25.0%
H 443
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7088
80.0%
Latin 1772
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3255
45.9%
3 990
 
14.0%
1 955
 
13.5%
9 562
 
7.9%
8 558
 
7.9%
2 335
 
4.7%
4 129
 
1.8%
5 109
 
1.5%
6 106
 
1.5%
7 89
 
1.3%
Latin
ValueCountFrequency (%)
C 443
25.0%
D 443
25.0%
F 443
25.0%
H 443
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8860
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3255
36.7%
3 990
 
11.2%
1 955
 
10.8%
9 562
 
6.3%
8 558
 
6.3%
C 443
 
5.0%
D 443
 
5.0%
F 443
 
5.0%
H 443
 
5.0%
2 335
 
3.8%
Other values (4) 433
 
4.9%

인허가일자
Date

Distinct402
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
Minimum1964-12-29 00:00:00
Maximum2021-09-17 00:00:00
2024-05-11T02:47:32.289932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:47:32.933250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
442 
20001111
 
1

Length

Max length8
Median length4
Mean length4.0090293
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> 442
99.8%
20001111 1
 
0.2%

Length

2024-05-11T02:47:33.590305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:47:34.126124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 442
99.8%
20001111 1
 
0.2%

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
3
351 
1
91 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
3 351
79.2%
1 91
 
20.5%
4 1
 
0.2%

Length

2024-05-11T02:47:35.059314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:47:35.724504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 351
79.2%
1 91
 
20.5%
4 1
 
0.2%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
폐업
351 
영업/정상
91 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length2.6433409
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 351
79.2%
영업/정상 91
 
20.5%
취소/말소/만료/정지/중지 1
 
0.2%

Length

2024-05-11T02:47:36.570705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:47:37.417868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 351
79.2%
영업/정상 91
 
20.5%
취소/말소/만료/정지/중지 1
 
0.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
3
351 
13
91 
32
 
1

Length

Max length2
Median length1
Mean length1.2076749
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
3 351
79.2%
13 91
 
20.5%
32 1
 
0.2%

Length

2024-05-11T02:47:38.018758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:47:38.521991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 351
79.2%
13 91
 
20.5%
32 1
 
0.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
폐업
351 
영업중
91 
신고취소
 
1

Length

Max length4
Median length2
Mean length2.2099323
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 351
79.2%
영업중 91
 
20.5%
신고취소 1
 
0.2%

Length

2024-05-11T02:47:38.895432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:47:39.362325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 351
79.2%
영업중 91
 
20.5%
신고취소 1
 
0.2%

폐업일자
Date

MISSING 

Distinct299
Distinct (%)85.2%
Missing92
Missing (%)20.8%
Memory size3.6 KiB
Minimum1993-03-23 00:00:00
Maximum2024-01-17 00:00:00
2024-05-11T02:47:39.751540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:47:40.192330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing443
Missing (%)100.0%
Memory size4.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing443
Missing (%)100.0%
Memory size4.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing443
Missing (%)100.0%
Memory size4.0 KiB

전화번호
Text

MISSING 

Distinct351
Distinct (%)98.0%
Missing85
Missing (%)19.2%
Memory size3.6 KiB
2024-05-11T02:47:41.003768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.8826816
Min length7

Characters and Unicode

Total characters3180
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

Unique344 ?
Unique (%)96.1%

Sample

1st row3272-6554
2nd row337-0286
3rd row324-0607
4th row338-2777
5th row02-717-3733
ValueCountFrequency (%)
3143-2329 2
 
0.6%
716-1398 2
 
0.6%
3142-5530 2
 
0.6%
332-8459 2
 
0.6%
333-4037 2
 
0.6%
326-3949 2
 
0.6%
375-6053 2
 
0.6%
02-704-9272 1
 
0.3%
332-9227 1
 
0.3%
02-706-9858 1
 
0.3%
Other values (341) 341
95.3%
2024-05-11T02:47:42.177993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 547
17.2%
- 439
13.8%
2 342
10.8%
7 312
9.8%
0 305
9.6%
1 270
8.5%
4 239
7.5%
5 194
 
6.1%
6 193
 
6.1%
8 171
 
5.4%
Other values (2) 168
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2740
86.2%
Dash Punctuation 439
 
13.8%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 547
20.0%
2 342
12.5%
7 312
11.4%
0 305
11.1%
1 270
9.9%
4 239
8.7%
5 194
 
7.1%
6 193
 
7.0%
8 171
 
6.2%
9 167
 
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 439
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3180
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 547
17.2%
- 439
13.8%
2 342
10.8%
7 312
9.8%
0 305
9.6%
1 270
8.5%
4 239
7.5%
5 194
 
6.1%
6 193
 
6.1%
8 171
 
5.4%
Other values (2) 168
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3180
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 547
17.2%
- 439
13.8%
2 342
10.8%
7 312
9.8%
0 305
9.6%
1 270
8.5%
4 239
7.5%
5 194
 
6.1%
6 193
 
6.1%
8 171
 
5.4%
Other values (2) 168
 
5.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing443
Missing (%)100.0%
Memory size4.0 KiB

소재지우편번호
Text

MISSING 

Distinct104
Distinct (%)26.1%
Missing44
Missing (%)9.9%
Memory size3.6 KiB
2024-05-11T02:47:42.800313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0175439
Min length6

Characters and Unicode

Total characters2401
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

Unique35 ?
Unique (%)8.8%

Sample

1st row121870
2nd row121837
3rd row121807
4th row121827
5th row121875
ValueCountFrequency (%)
121838 23
 
5.8%
121807 16
 
4.0%
121875 12
 
3.0%
121806 12
 
3.0%
121817 11
 
2.8%
121801 10
 
2.5%
121893 10
 
2.5%
121837 10
 
2.5%
121828 9
 
2.3%
121885 9
 
2.3%
Other values (94) 277
69.4%
2024-05-11T02:47:43.870479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 882
36.7%
2 490
20.4%
8 455
19.0%
0 127
 
5.3%
3 83
 
3.5%
7 83
 
3.5%
5 82
 
3.4%
9 69
 
2.9%
6 66
 
2.7%
4 57
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2394
99.7%
Dash Punctuation 7
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 882
36.8%
2 490
20.5%
8 455
19.0%
0 127
 
5.3%
3 83
 
3.5%
7 83
 
3.5%
5 82
 
3.4%
9 69
 
2.9%
6 66
 
2.8%
4 57
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2401
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 882
36.7%
2 490
20.4%
8 455
19.0%
0 127
 
5.3%
3 83
 
3.5%
7 83
 
3.5%
5 82
 
3.4%
9 69
 
2.9%
6 66
 
2.7%
4 57
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2401
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 882
36.7%
2 490
20.4%
8 455
19.0%
0 127
 
5.3%
3 83
 
3.5%
7 83
 
3.5%
5 82
 
3.4%
9 69
 
2.9%
6 66
 
2.7%
4 57
 
2.4%

지번주소
Text

Distinct424
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-05-11T02:47:44.734817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length38
Mean length24.55079
Min length17

Characters and Unicode

Total characters10876
Distinct characters135
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

Unique406 ?
Unique (%)91.6%

Sample

1st row서울특별시 마포구 염리동 9-72번지
2nd row서울특별시 마포구 서교동 360-3번지
3rd row서울특별시 마포구 노고산동 57-5번지
4th row서울특별시 마포구 망원동 424-18
5th row서울특별시 마포구 용강동 45-16번지 2층
ValueCountFrequency (%)
서울특별시 443
21.6%
마포구 443
21.6%
서교동 99
 
4.8%
지층 52
 
2.5%
망원동 45
 
2.2%
2층 38
 
1.9%
성산동 34
 
1.7%
3층 32
 
1.6%
지하1층 29
 
1.4%
노고산동 28
 
1.4%
Other values (496) 810
39.5%
2024-05-11T02:47:46.073701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2020
18.6%
서 544
 
5.0%
지 503
 
4.6%
동 482
 
4.4%
마 446
 
4.1%
포 446
 
4.1%
구 445
 
4.1%
시 443
 
4.1%
울 443
 
4.1%
별 443
 
4.1%
Other values (125) 4661
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6254
57.5%
Decimal Number 2142
 
19.7%
Space Separator 2020
 
18.6%
Dash Punctuation 432
 
4.0%
Uppercase Letter 12
 
0.1%
Other Punctuation 9
 
0.1%
Math Symbol 3
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 544
 
8.7%
지 503
 
8.0%
동 482
 
7.7%
마 446
 
7.1%
포 446
 
7.1%
구 445
 
7.1%
시 443
 
7.1%
울 443
 
7.1%
별 443
 
7.1%
특 443
 
7.1%
Other values (103) 1616
25.8%
Decimal Number
ValueCountFrequency (%)
1 427
19.9%
3 320
14.9%
2 300
14.0%
4 251
11.7%
5 197
9.2%
6 159
 
7.4%
7 139
 
6.5%
0 130
 
6.1%
8 117
 
5.5%
9 102
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
B 8
66.7%
I 1
 
8.3%
V 1
 
8.3%
A 1
 
8.3%
P 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 8
88.9%
. 1
 
11.1%
Space Separator
ValueCountFrequency (%)
2020
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 432
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6254
57.5%
Common 4610
42.4%
Latin 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 544
 
8.7%
지 503
 
8.0%
동 482
 
7.7%
마 446
 
7.1%
포 446
 
7.1%
구 445
 
7.1%
시 443
 
7.1%
울 443
 
7.1%
별 443
 
7.1%
특 443
 
7.1%
Other values (103) 1616
25.8%
Common
ValueCountFrequency (%)
2020
43.8%
- 432
 
9.4%
1 427
 
9.3%
3 320
 
6.9%
2 300
 
6.5%
4 251
 
5.4%
5 197
 
4.3%
6 159
 
3.4%
7 139
 
3.0%
0 130
 
2.8%
Other values (7) 235
 
5.1%
Latin
ValueCountFrequency (%)
B 8
66.7%
I 1
 
8.3%
V 1
 
8.3%
A 1
 
8.3%
P 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6254
57.5%
ASCII 4622
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2020
43.7%
- 432
 
9.3%
1 427
 
9.2%
3 320
 
6.9%
2 300
 
6.5%
4 251
 
5.4%
5 197
 
4.3%
6 159
 
3.4%
7 139
 
3.0%
0 130
 
2.8%
Other values (12) 247
 
5.3%
Hangul
ValueCountFrequency (%)
서 544
 
8.7%
지 503
 
8.0%
동 482
 
7.7%
마 446
 
7.1%
포 446
 
7.1%
구 445
 
7.1%
시 443
 
7.1%
울 443
 
7.1%
별 443
 
7.1%
특 443
 
7.1%
Other values (103) 1616
25.8%

도로명주소
Text

MISSING 

Distinct386
Distinct (%)96.5%
Missing43
Missing (%)9.7%
Memory size3.6 KiB
2024-05-11T02:47:46.888943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length42
Mean length28.09
Min length22

Characters and Unicode

Total characters11236
Distinct characters170
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

Unique372 ?
Unique (%)93.0%

Sample

1st row서울특별시 마포구 대흥로30길 34 (염리동)
2nd row서울특별시 마포구 와우산로 88-1 (서교동)
3rd row서울특별시 마포구 신촌로 90 (노고산동)
4th row서울특별시 마포구 월드컵로25길 58, 3층 (망원동)
5th row서울특별시 마포구 토정로32길 3, 2층 (용강동)
ValueCountFrequency (%)
서울특별시 400
 
18.1%
마포구 400
 
18.1%
서교동 73
 
3.3%
지하1층 54
 
2.4%
2층 30
 
1.4%
망원동 28
 
1.3%
3층 26
 
1.2%
백범로 24
 
1.1%
월드컵북로 22
 
1.0%
성산동 22
 
1.0%
Other values (433) 1130
51.2%
2024-05-11T02:47:48.031764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2056
 
18.3%
서 509
 
4.5%
동 450
 
4.0%
포 441
 
3.9%
마 438
 
3.9%
울 415
 
3.7%
구 402
 
3.6%
( 401
 
3.6%
) 401
 
3.6%
시 401
 
3.6%
Other values (160) 5322
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6686
59.5%
Space Separator 2056
 
18.3%
Decimal Number 1378
 
12.3%
Open Punctuation 401
 
3.6%
Close Punctuation 401
 
3.6%
Other Punctuation 265
 
2.4%
Dash Punctuation 36
 
0.3%
Uppercase Letter 11
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 509
 
7.6%
동 450
 
6.7%
포 441
 
6.6%
마 438
 
6.6%
울 415
 
6.2%
구 402
 
6.0%
시 401
 
6.0%
별 400
 
6.0%
특 400
 
6.0%
로 378
 
5.7%
Other values (138) 2452
36.7%
Decimal Number
ValueCountFrequency (%)
1 338
24.5%
2 229
16.6%
3 173
12.6%
4 130
 
9.4%
6 122
 
8.9%
5 87
 
6.3%
8 77
 
5.6%
0 75
 
5.4%
7 75
 
5.4%
9 72
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
B 6
54.5%
C 1
 
9.1%
S 1
 
9.1%
P 1
 
9.1%
I 1
 
9.1%
V 1
 
9.1%
Space Separator
ValueCountFrequency (%)
2056
100.0%
Open Punctuation
ValueCountFrequency (%)
( 401
100.0%
Close Punctuation
ValueCountFrequency (%)
) 401
100.0%
Other Punctuation
ValueCountFrequency (%)
, 265
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6686
59.5%
Common 4539
40.4%
Latin 11
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 509
 
7.6%
동 450
 
6.7%
포 441
 
6.6%
마 438
 
6.6%
울 415
 
6.2%
구 402
 
6.0%
시 401
 
6.0%
별 400
 
6.0%
특 400
 
6.0%
로 378
 
5.7%
Other values (138) 2452
36.7%
Common
ValueCountFrequency (%)
2056
45.3%
( 401
 
8.8%
) 401
 
8.8%
1 338
 
7.4%
, 265
 
5.8%
2 229
 
5.0%
3 173
 
3.8%
4 130
 
2.9%
6 122
 
2.7%
5 87
 
1.9%
Other values (6) 337
 
7.4%
Latin
ValueCountFrequency (%)
B 6
54.5%
C 1
 
9.1%
S 1
 
9.1%
P 1
 
9.1%
I 1
 
9.1%
V 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6686
59.5%
ASCII 4550
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2056
45.2%
( 401
 
8.8%
) 401
 
8.8%
1 338
 
7.4%
, 265
 
5.8%
2 229
 
5.0%
3 173
 
3.8%
4 130
 
2.9%
6 122
 
2.7%
5 87
 
1.9%
Other values (12) 348
 
7.6%
Hangul
ValueCountFrequency (%)
서 509
 
7.6%
동 450
 
6.7%
포 441
 
6.6%
마 438
 
6.6%
울 415
 
6.2%
구 402
 
6.0%
시 401
 
6.0%
별 400
 
6.0%
특 400
 
6.0%
로 378
 
5.7%
Other values (138) 2452
36.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct101
Distinct (%)67.8%
Missing294
Missing (%)66.4%
Infinite0
Infinite (%)0.0%
Mean15125.517
Minimum3924
Maximum121903
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-05-11T02:47:48.489313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3924
5-th percentile3933.2
Q13999
median4049
Q34166
95-th percentile121834.2
Maximum121903
Range117979
Interquartile range (IQR)167

Descriptive statistics

Standard deviation34481.862
Coefficient of variation (CV)2.2797146
Kurtosis5.9854448
Mean15125.517
Median Absolute Deviation (MAD)77
Skewness2.8116203
Sum2253702
Variance1.1889988 × 109
MonotonicityNot monotonic
2024-05-11T02:47:49.327585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3930 4
 
0.9%
4207 4
 
0.9%
3927 3
 
0.7%
3938 3
 
0.7%
4013 3
 
0.7%
4031 3
 
0.7%
4050 3
 
0.7%
3995 3
 
0.7%
4168 3
 
0.7%
3996 2
 
0.5%
Other values (91) 118
26.6%
(Missing) 294
66.4%
ValueCountFrequency (%)
3924 1
 
0.2%
3927 3
0.7%
3930 4
0.9%
3938 3
0.7%
3940 1
 
0.2%
3946 1
 
0.2%
3947 1
 
0.2%
3950 1
 
0.2%
3951 1
 
0.2%
3962 1
 
0.2%
ValueCountFrequency (%)
121903 1
0.2%
121895 2
0.5%
121854 2
0.5%
121842 1
0.2%
121838 1
0.2%
121837 1
0.2%
121830 1
0.2%
121821 1
0.2%
121810 1
0.2%
121808 1
0.2%

사업장명
Text

Distinct381
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-05-11T02:47:50.265779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length26
Mean length4.6546275
Min length1

Characters and Unicode

Total characters2062
Distinct characters314
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

Unique336 ?
Unique (%)75.8%

Sample

1st row아리조나
2nd row서일
3rd row신촌당구장
4th row유정
5th row용강
ValueCountFrequency (%)
당구장 37
 
7.3%
당구클럽 12
 
2.4%
에이스당구장 5
 
1.0%
서강당구장 4
 
0.8%
태양 4
 
0.8%
제일당구장 4
 
0.8%
현대 4
 
0.8%
명 3
 
0.6%
클럽 3
 
0.6%
청기와 3
 
0.6%
Other values (379) 431
84.5%
2024-05-11T02:47:51.814094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 270
 
13.1%
당 262
 
12.7%
장 202
 
9.8%
67
 
3.2%
럽 57
 
2.8%
클 56
 
2.7%
스 48
 
2.3%
이 34
 
1.6%
리 32
 
1.6%
에 22
 
1.1%
Other values (304) 1012
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1866
90.5%
Space Separator 67
 
3.2%
Uppercase Letter 63
 
3.1%
Lowercase Letter 30
 
1.5%
Decimal Number 14
 
0.7%
Open Punctuation 7
 
0.3%
Close Punctuation 7
 
0.3%
Other Punctuation 7
 
0.3%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 270
 
14.5%
당 262
 
14.0%
장 202
 
10.8%
럽 57
 
3.1%
클 56
 
3.0%
스 48
 
2.6%
이 34
 
1.8%
리 32
 
1.7%
에 22
 
1.2%
드 22
 
1.2%
Other values (256) 861
46.1%
Uppercase Letter
ValueCountFrequency (%)
S 8
12.7%
P 6
 
9.5%
C 6
 
9.5%
B 5
 
7.9%
M 4
 
6.3%
A 4
 
6.3%
I 4
 
6.3%
V 4
 
6.3%
L 3
 
4.8%
T 3
 
4.8%
Other values (11) 16
25.4%
Lowercase Letter
ValueCountFrequency (%)
i 4
13.3%
l 4
13.3%
r 4
13.3%
a 3
10.0%
n 3
10.0%
e 3
10.0%
o 2
6.7%
b 2
6.7%
u 1
 
3.3%
m 1
 
3.3%
Other values (3) 3
10.0%
Decimal Number
ValueCountFrequency (%)
3 4
28.6%
1 3
21.4%
2 3
21.4%
5 1
 
7.1%
0 1
 
7.1%
9 1
 
7.1%
6 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 5
71.4%
& 1
 
14.3%
: 1
 
14.3%
Space Separator
ValueCountFrequency (%)
67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1866
90.5%
Common 103
 
5.0%
Latin 93
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 270
 
14.5%
당 262
 
14.0%
장 202
 
10.8%
럽 57
 
3.1%
클 56
 
3.0%
스 48
 
2.6%
이 34
 
1.8%
리 32
 
1.7%
에 22
 
1.2%
드 22
 
1.2%
Other values (256) 861
46.1%
Latin
ValueCountFrequency (%)
S 8
 
8.6%
P 6
 
6.5%
C 6
 
6.5%
B 5
 
5.4%
M 4
 
4.3%
A 4
 
4.3%
i 4
 
4.3%
I 4
 
4.3%
l 4
 
4.3%
r 4
 
4.3%
Other values (24) 44
47.3%
Common
ValueCountFrequency (%)
67
65.0%
( 7
 
6.8%
) 7
 
6.8%
. 5
 
4.9%
3 4
 
3.9%
1 3
 
2.9%
2 3
 
2.9%
5 1
 
1.0%
0 1
 
1.0%
& 1
 
1.0%
Other values (4) 4
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1866
90.5%
ASCII 196
 
9.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 270
 
14.5%
당 262
 
14.0%
장 202
 
10.8%
럽 57
 
3.1%
클 56
 
3.0%
스 48
 
2.6%
이 34
 
1.8%
리 32
 
1.7%
에 22
 
1.2%
드 22
 
1.2%
Other values (256) 861
46.1%
ASCII
ValueCountFrequency (%)
67
34.2%
S 8
 
4.1%
( 7
 
3.6%
) 7
 
3.6%
P 6
 
3.1%
C 6
 
3.1%
. 5
 
2.6%
B 5
 
2.6%
M 4
 
2.0%
A 4
 
2.0%
Other values (38) 77
39.3%

최종수정일자
Date

Distinct254
Distinct (%)57.3%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
Minimum2003-04-18 14:56:03
Maximum2024-03-01 10:03:50
2024-05-11T02:47:52.388338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:47:52.855381image/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
365 
U
78 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 365
82.4%
U 78
 
17.6%

Length

2024-05-11T02:47:53.290806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:47:53.692923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 365
82.4%
u 78
 
17.6%

데이터갱신일자
Date

Distinct71
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:03:00
2024-05-11T02:47:54.368754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:47:54.928720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing443
Missing (%)100.0%
Memory size4.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct339
Distinct (%)81.5%
Missing27
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean193403.8
Minimum190070.99
Maximum196516.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-05-11T02:47:55.455168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190070.99
5-th percentile191301.31
Q1192232.33
median193103.22
Q3194645.68
95-th percentile196050.32
Maximum196516.33
Range6445.3358
Interquartile range (IQR)2413.3564

Descriptive statistics

Standard deviation1506.0844
Coefficient of variation (CV)0.0077872537
Kurtosis-0.88491868
Mean193403.8
Median Absolute Deviation (MAD)1212.9269
Skewness0.22989196
Sum80455980
Variance2268290.3
MonotonicityNot monotonic
2024-05-11T02:47:56.215199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
195463.106592061 4
 
0.9%
195113.550991216 3
 
0.7%
196057.949965838 3
 
0.7%
192683.268760741 3
 
0.7%
194406.571195617 3
 
0.7%
192656.72694088 3
 
0.7%
194679.600293425 3
 
0.7%
191573.169013313 3
 
0.7%
194434.960574665 3
 
0.7%
192694.446583186 2
 
0.5%
Other values (329) 386
87.1%
(Missing) 27
 
6.1%
ValueCountFrequency (%)
190070.994854984 1
0.2%
190250.875091908 1
0.2%
190629.327891292 2
0.5%
190642.446699704 2
0.5%
190645.887455854 1
0.2%
190655.421130038 1
0.2%
190657.12050037 1
0.2%
190670.449086292 2
0.5%
190727.41048952 1
0.2%
190858.687785393 1
0.2%
ValueCountFrequency (%)
196516.330675471 1
0.2%
196459.452706442 1
0.2%
196334.398945111 1
0.2%
196331.075351499 1
0.2%
196229.118511576 1
0.2%
196214.48977946 1
0.2%
196211.904782373 2
0.5%
196169.852878748 1
0.2%
196163.998136738 2
0.5%
196147.981522304 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct339
Distinct (%)81.5%
Missing27
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean450153.26
Minimum448407.75
Maximum453176.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-05-11T02:47:56.705385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448407.75
5-th percentile448754.55
Q1449657.76
median450176.37
Q3450512.5
95-th percentile451764.71
Maximum453176.82
Range4769.0645
Interquartile range (IQR)854.73996

Descriptive statistics

Standard deviation859.35495
Coefficient of variation (CV)0.0019090275
Kurtosis1.4372552
Mean450153.26
Median Absolute Deviation (MAD)454.01455
Skewness0.70203799
Sum1.8726376 × 108
Variance738490.94
MonotonicityNot monotonic
2024-05-11T02:47:57.287529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448764.166019164 4
 
0.9%
450469.704150784 3
 
0.7%
449897.213071289 3
 
0.7%
449608.324922344 3
 
0.7%
450082.97576307 3
 
0.7%
450679.187893244 3
 
0.7%
448833.192220936 3
 
0.7%
450188.990292425 3
 
0.7%
450190.911593726 3
 
0.7%
450326.140093008 2
 
0.5%
Other values (329) 386
87.1%
(Missing) 27
 
6.1%
ValueCountFrequency (%)
448407.752664604 2
0.5%
448411.703822551 1
0.2%
448437.479009838 1
0.2%
448463.997345199 1
0.2%
448540.434893446 1
0.2%
448569.55182505 1
0.2%
448570.97828218 1
0.2%
448572.253976483 2
0.5%
448573.290097476 1
0.2%
448601.709932688 1
0.2%
ValueCountFrequency (%)
453176.817119902 1
0.2%
453017.867202928 1
0.2%
452917.024286391 1
0.2%
452771.22236161 1
0.2%
452763.733033021 2
0.5%
452710.780982054 2
0.5%
452693.357862505 1
0.2%
452679.06523554 2
0.5%
452665.820869775 1
0.2%
452649.962814424 1
0.2%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
당구장업
420 
<NA>
 
23

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 420
94.8%
<NA> 23
 
5.2%

Length

2024-05-11T02:47:57.839279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:47:58.366947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 420
94.8%
na 23
 
5.2%

공사립구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
사립
420 
<NA>
 
23

Length

Max length4
Median length2
Mean length2.1038375
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 420
94.8%
<NA> 23
 
5.2%

Length

2024-05-11T02:47:58.770960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:47:59.125098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 420
94.8%
na 23
 
5.2%

보험가입여부코드
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
386 
0
57 

Length

Max length4
Median length4
Mean length3.6139955
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> 386
87.1%
0 57
 
12.9%

Length

2024-05-11T02:47:59.886959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:48:00.317398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 386
87.1%
0 57
 
12.9%

지도자수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
239 
0
204 

Length

Max length4
Median length4
Mean length2.6185102
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 239
54.0%
0 204
46.0%

Length

2024-05-11T02:48:00.718474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:48:01.167953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 239
54.0%
0 204
46.0%

건축물동수
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
0
240 
<NA>
201 
1
 
2

Length

Max length4
Median length1
Mean length2.3611738
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 240
54.2%
<NA> 201
45.4%
1 2
 
0.5%

Length

2024-05-11T02:48:01.656132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:48:02.049340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 240
54.2%
na 201
45.4%
1 2
 
0.5%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)4.5%
Missing199
Missing (%)44.9%
Infinite0
Infinite (%)0.0%
Mean172.72492
Minimum0
Maximum26953.72
Zeros234
Zeros (%)52.8%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-05-11T02:48:02.439600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum26953.72
Range26953.72
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1766.4657
Coefficient of variation (CV)10.227046
Kurtosis219.96718
Mean172.72492
Median Absolute Deviation (MAD)0
Skewness14.538344
Sum42144.88
Variance3120400.9
MonotonicityNot monotonic
2024-05-11T02:48:02.937387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 234
52.8%
3707.13 1
 
0.2%
2014.99 1
 
0.2%
1403.85 1
 
0.2%
867.05 1
 
0.2%
226.91 1
 
0.2%
934.45 1
 
0.2%
993.63 1
 
0.2%
26953.72 1
 
0.2%
1128.8 1
 
0.2%
(Missing) 199
44.9%
ValueCountFrequency (%)
0.0 234
52.8%
226.91 1
 
0.2%
867.05 1
 
0.2%
934.45 1
 
0.2%
993.63 1
 
0.2%
1128.8 1
 
0.2%
1403.85 1
 
0.2%
2014.99 1
 
0.2%
3707.13 1
 
0.2%
3914.35 1
 
0.2%
ValueCountFrequency (%)
26953.72 1
0.2%
3914.35 1
0.2%
3707.13 1
0.2%
2014.99 1
0.2%
1403.85 1
0.2%
1128.8 1
0.2%
993.63 1
0.2%
934.45 1
0.2%
867.05 1
0.2%
226.91 1
0.2%

회원모집총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
439 
0
 
4

Length

Max length4
Median length4
Mean length3.972912
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> 439
99.1%
0 4
 
0.9%

Length

2024-05-11T02:48:03.456428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:48:03.813053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 439
99.1%
0 4
 
0.9%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing443
Missing (%)100.0%
Memory size4.0 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing443
Missing (%)100.0%
Memory size4.0 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03130000CDFH330108196400000119641229<NA>3폐업3폐업19980818<NA><NA><NA>3272-6554<NA>121870서울특별시 마포구 염리동 9-72번지서울특별시 마포구 대흥로30길 34 (염리동)<NA>아리조나2003-04-18 14:56:03I2018-08-31 23:59:59.0<NA>195329.280638450451.707457당구장업사립<NA>000.0<NA><NA><NA>
13130000CDFH330108196800000119680613<NA>3폐업3폐업20010201<NA><NA><NA>337-0286<NA>121837서울특별시 마포구 서교동 360-3번지서울특별시 마포구 와우산로 88-1 (서교동)<NA>서일2003-04-18 14:56:03I2018-08-31 23:59:59.0<NA>193207.476858449991.102466당구장업사립<NA>000.0<NA><NA><NA>
23130000CDFH330108197700000119770923<NA>3폐업3폐업19991118<NA><NA><NA>324-0607<NA>121807서울특별시 마포구 노고산동 57-5번지서울특별시 마포구 신촌로 90 (노고산동)<NA>신촌당구장2003-04-18 14:56:03I2018-08-31 23:59:59.0<NA>194238.935414450337.305541당구장업사립<NA>000.0<NA><NA><NA>
33130000CDFH330108198200000119820706<NA>1영업/정상13영업중<NA><NA><NA><NA>338-2777<NA>121827서울특별시 마포구 망원동 424-18서울특별시 마포구 월드컵로25길 58, 3층 (망원동)3964유정2021-12-30 11:36:57U2022-01-01 02:40:00.0<NA>191481.633861450632.871097당구장업사립<NA><NA>0<NA><NA><NA><NA>
43130000CDFH330108198400000219840514<NA>3폐업3폐업20160512<NA><NA><NA>02-717-3733<NA>121875서울특별시 마포구 용강동 45-16번지 2층서울특별시 마포구 토정로32길 3, 2층 (용강동)4165용강2016-05-12 13:29:22I2018-08-31 23:59:59.0<NA>194783.042098448719.925622당구장업사립<NA><NA>00.0<NA><NA><NA>
53130000CDFH330108198500000119851004<NA>3폐업3폐업20130503<NA><NA><NA>718-8096<NA>121815서울특별시 마포구 도화동 541-0번지 지하 19서울특별시 마포구 마포대로 38 (도화동,지하 19)<NA>거성2013-05-06 08:40:16I2018-08-31 23:59:59.0<NA>195214.309335448572.253976당구장업사립<NA><NA>00.0<NA><NA><NA>
63130000CDFH330108198600000119860723<NA>3폐업3폐업19940113<NA><NA><NA>332-5364<NA>121848서울특별시 마포구 성산동 292-10번지<NA><NA>영2003-04-18 14:56:03I2018-08-31 23:59:59.0<NA>191895.201638450642.680525당구장업사립<NA>000.0<NA><NA><NA>
73130000CDFH330108198700000119870309<NA>3폐업3폐업20001012<NA><NA><NA>716-4683<NA>121808서울특별시 마포구 대흥동 12-172번지 3층서울특별시 마포구 대흥로 189-1 (대흥동,3층)<NA>밀레니엄당구장2003-04-18 14:56:03I2018-08-31 23:59:59.0<NA>195131.403207450424.065543당구장업사립<NA>000.0<NA><NA><NA>
83130000CDFH330108198700000219870312<NA>3폐업3폐업20011029<NA><NA><NA>716-1398<NA>121812서울특별시 마포구 도화동 181-2번지서울특별시 마포구 도화길 51 (도화동)<NA>칠성2003-04-18 14:56:03I2018-08-31 23:59:59.0<NA>195596.826709448871.054988당구장업사립<NA>000.0<NA><NA><NA>
93130000CDFH330108198700000319870504<NA>3폐업3폐업19980825<NA><NA><NA>716-6644<NA>121807서울특별시 마포구 노고산동 107-101번지서울특별시 마포구 서강로20길 25 (노고산동)<NA>오복2003-04-18 14:56:03I2018-08-31 23:59:59.0<NA>194335.490234450112.382898당구장업사립<NA>000.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
4333130000CDFH330108201900000320190709<NA>1영업/정상13영업중<NA><NA><NA><NA>02-332-2915<NA><NA>서울특별시 마포구 망원동 482-3번지서울특별시 마포구 망원로 97, 지하1층 (망원동)3963코코 당구장2019-07-09 16:33:13I2019-07-11 02:21:33.0<NA>191758.374285450654.465323당구장업사립<NA><NA><NA><NA><NA><NA><NA>
4343130000CDFH330108202000000120200225<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 합정동 387-20서울특별시 마포구 양화로3길 15, 3층 (합정동)4025리버 당구장2020-07-02 10:51:53U2020-07-04 02:40:00.0<NA>192104.743217449722.531895당구장업사립<NA><NA><NA><NA><NA><NA><NA>
4353130000CDFH330108202000000220200513<NA>3폐업3폐업20221104<NA><NA><NA><NA><NA><NA>서울특별시 마포구 아현동 618-8서울특별시 마포구 마포대로 179, 3층 (아현동)4130마포 당구장2022-11-04 16:34:33U2021-11-01 00:06:00.0<NA>195942.949026449788.340246<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4363130000CDFH330108202000000320200619<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 마포동 136-1 한신빌딩서울특별시 마포구 마포대로 12, 한신빌딩 지하1층 (마포동)4175비어&당구장2020-07-02 10:50:31U2020-07-04 02:40:00.0<NA>195019.399817448407.752665당구장업사립<NA><NA><NA><NA><NA><NA><NA>
4373130000CDFH330108202000000420200806<NA>3폐업3폐업20220616<NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 247-24서울특별시 마포구 월드컵북로7길 26, 2층 (서교동)3999콜 당구장2022-06-16 14:58:41U2021-12-05 23:08:00.0<NA>192566.577983450649.994736<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4383130000CDFH330108202100000120210113<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 성산동 258-28 성도빌딩서울특별시 마포구 성미산로1길 56, 성도빌딩 지1층 (성산동)3970엠에스(MS)빌리아드2022-06-17 09:23:24U2021-12-05 23:09:00.0<NA>191725.554544450896.028683<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4393130000CDFH33010820210000022021-04-08<NA>3폐업3폐업2023-07-25<NA><NA><NA><NA><NA><NA>서울특별시 마포구 창전동 4-2서울특별시 마포구 와우산로32길 24, 2층 (창전동)4061기찻길 당구장2023-07-25 16:44:23U2022-12-06 22:07:00.0<NA>193891.69509450254.156797<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4403130000CDFH330108202100000320210608<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 연남동 226-14서울특별시 마포구 연희로 39, 2층 (연남동)3981수영당구클럽2021-06-08 10:18:53I2021-06-10 00:22:55.0<NA>193504.422765451128.233048당구장업사립<NA><NA><NA><NA><NA><NA><NA>
4413130000CDFH330108202100000420210618<NA>3폐업3폐업20220929<NA><NA><NA><NA><NA><NA>서울특별시 마포구 대흥동 183서울특별시 마포구 백범로 105, 2층 (대흥동)4136청춘 당구클럽2022-09-29 18:02:50U2021-10-31 00:01:00.0<NA>194900.311196449487.798062<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4423130000CDFH33010820210000052021-09-17<NA>1영업/정상13영업중<NA><NA><NA><NA>02-332-3696<NA><NA>서울특별시 마포구 망원동 378-10서울특별시 마포구 동교로9길 34, 2층 (망원동)4013에이스당구장2023-11-03 12:22:18U2022-11-01 00:05:00.0<NA>191977.146145450351.451315<NA><NA><NA><NA><NA><NA><NA><NA><NA>