Overview

Dataset statistics

Number of variables34
Number of observations491
Missing cells5057
Missing cells (%)30.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory139.2 KiB
Average record size in memory290.3 B

Variable types

Categorical12
Text7
DateTime4
Unsupported8
Numeric3

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
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-19638/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
회원모집총인원 is highly imbalanced (91.9%)Imbalance
인허가취소일자 has 491 (100.0%) missing valuesMissing
폐업일자 has 133 (27.1%) missing valuesMissing
휴업시작일자 has 491 (100.0%) missing valuesMissing
휴업종료일자 has 491 (100.0%) missing valuesMissing
재개업일자 has 491 (100.0%) missing valuesMissing
전화번호 has 162 (33.0%) missing valuesMissing
소재지면적 has 491 (100.0%) missing valuesMissing
소재지우편번호 has 188 (38.3%) missing valuesMissing
도로명주소 has 36 (7.3%) missing valuesMissing
도로명우편번호 has 292 (59.5%) missing valuesMissing
업태구분명 has 491 (100.0%) missing valuesMissing
좌표정보(X) has 24 (4.9%) missing valuesMissing
좌표정보(Y) has 24 (4.9%) missing valuesMissing
건축물연면적 has 270 (55.0%) missing valuesMissing
세부업종명 has 491 (100.0%) missing valuesMissing
법인명 has 491 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
세부업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
법인명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축물연면적 has 169 (34.4%) zerosZeros

Reproduction

Analysis started2024-04-29 19:59:08.145494
Analysis finished2024-04-29 19:59:08.944395
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
3110000
491 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 491
100.0%

Length

2024-04-30T04:59:09.003957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:59:09.085186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 491
100.0%

관리번호
Text

UNIQUE 

Distinct491
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2024-04-30T04:59:09.240540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters9820
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

Unique491 ?
Unique (%)100.0%

Sample

1st rowCDFH3301081989000001
2nd rowCDFH3301081989000003
3rd rowCDFH3301081990000001
4th rowCDFH3301081990000002
5th rowCDFH3301081990000004
ValueCountFrequency (%)
cdfh3301081989000001 1
 
0.2%
cdfh3301082008000017 1
 
0.2%
cdfh3301082008000015 1
 
0.2%
cdfh3301082008000014 1
 
0.2%
cdfh3301082008000013 1
 
0.2%
cdfh3301082008000012 1
 
0.2%
cdfh3301082008000011 1
 
0.2%
cdfh3301082008000010 1
 
0.2%
cdfh3301082008000009 1
 
0.2%
cdfh3301082008000008 1
 
0.2%
Other values (481) 481
98.0%
2024-04-30T04:59:09.540093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3686
37.5%
3 1102
 
11.2%
1 1049
 
10.7%
8 579
 
5.9%
9 499
 
5.1%
C 491
 
5.0%
D 491
 
5.0%
F 491
 
5.0%
H 491
 
5.0%
2 472
 
4.8%
Other values (4) 469
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7856
80.0%
Uppercase Letter 1964
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3686
46.9%
3 1102
 
14.0%
1 1049
 
13.4%
8 579
 
7.4%
9 499
 
6.4%
2 472
 
6.0%
4 154
 
2.0%
6 130
 
1.7%
5 107
 
1.4%
7 78
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 491
25.0%
D 491
25.0%
F 491
25.0%
H 491
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7856
80.0%
Latin 1964
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3686
46.9%
3 1102
 
14.0%
1 1049
 
13.4%
8 579
 
7.4%
9 499
 
6.4%
2 472
 
6.0%
4 154
 
2.0%
6 130
 
1.7%
5 107
 
1.4%
7 78
 
1.0%
Latin
ValueCountFrequency (%)
C 491
25.0%
D 491
25.0%
F 491
25.0%
H 491
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9820
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3686
37.5%
3 1102
 
11.2%
1 1049
 
10.7%
8 579
 
5.9%
9 499
 
5.1%
C 491
 
5.0%
D 491
 
5.0%
F 491
 
5.0%
H 491
 
5.0%
2 472
 
4.8%
Other values (4) 469
 
4.8%

인허가일자
Date

Distinct431
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum1989-09-04 00:00:00
Maximum2024-04-25 00:00:00
2024-04-30T04:59:09.662090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:59:09.770383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing491
Missing (%)100.0%
Memory size4.4 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
3
352 
1
133 
4
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 352
71.7%
1 133
 
27.1%
4 6
 
1.2%

Length

2024-04-30T04:59:09.874127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:59:09.956436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 352
71.7%
1 133
 
27.1%
4 6
 
1.2%

영업상태명
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
폐업
352 
영업/정상
133 
취소/말소/만료/정지/중지
 
6

Length

Max length14
Median length2
Mean length2.9592668
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 352
71.7%
영업/정상 133
 
27.1%
취소/말소/만료/정지/중지 6
 
1.2%

Length

2024-04-30T04:59:10.039679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:59:10.120209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 352
71.7%
영업/정상 133
 
27.1%
취소/말소/만료/정지/중지 6
 
1.2%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
3
352 
13
133 
35
 
6

Length

Max length2
Median length1
Mean length1.2830957
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 352
71.7%
13 133
 
27.1%
35 6
 
1.2%

Length

2024-04-30T04:59:10.218669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:59:10.310409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 352
71.7%
13 133
 
27.1%
35 6
 
1.2%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
폐업
352 
영업중
133 
직권말소
 
6

Length

Max length4
Median length2
Mean length2.2953157
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 352
71.7%
영업중 133
 
27.1%
직권말소 6
 
1.2%

Length

2024-04-30T04:59:10.405435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:59:10.507475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 352
71.7%
영업중 133
 
27.1%
직권말소 6
 
1.2%

폐업일자
Date

MISSING 

Distinct269
Distinct (%)75.1%
Missing133
Missing (%)27.1%
Memory size4.0 KiB
Minimum1995-05-06 00:00:00
Maximum2024-04-08 00:00:00
2024-04-30T04:59:10.610295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:59:10.721837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing491
Missing (%)100.0%
Memory size4.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing491
Missing (%)100.0%
Memory size4.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing491
Missing (%)100.0%
Memory size4.4 KiB

전화번호
Text

MISSING 

Distinct322
Distinct (%)97.9%
Missing162
Missing (%)33.0%
Memory size4.0 KiB
2024-04-30T04:59:10.949791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.3647416
Min length5

Characters and Unicode

Total characters2752
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique315 ?
Unique (%)95.7%

Sample

1st row373-12977
2nd row358-1998
3rd row384-7238
4th row384-3228
5th row389-3218
ValueCountFrequency (%)
02-356-7008 2
 
0.6%
386-7706 2
 
0.6%
384-4392 2
 
0.6%
304-4784 2
 
0.6%
388-2057 2
 
0.6%
374-6738 2
 
0.6%
354-4303 2
 
0.6%
386-6251 1
 
0.3%
354-7742 1
 
0.3%
352-6115 1
 
0.3%
Other values (312) 312
94.8%
2024-04-30T04:59:11.301675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 487
17.7%
- 360
13.1%
5 310
11.3%
8 278
10.1%
0 244
8.9%
7 225
8.2%
2 197
7.2%
4 189
 
6.9%
9 176
 
6.4%
6 160
 
5.8%
Other values (3) 126
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2390
86.8%
Dash Punctuation 360
 
13.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 487
20.4%
5 310
13.0%
8 278
11.6%
0 244
10.2%
7 225
9.4%
2 197
8.2%
4 189
 
7.9%
9 176
 
7.4%
6 160
 
6.7%
1 124
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 360
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2752
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 487
17.7%
- 360
13.1%
5 310
11.3%
8 278
10.1%
0 244
8.9%
7 225
8.2%
2 197
7.2%
4 189
 
6.9%
9 176
 
6.4%
6 160
 
5.8%
Other values (3) 126
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2752
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 487
17.7%
- 360
13.1%
5 310
11.3%
8 278
10.1%
0 244
8.9%
7 225
8.2%
2 197
7.2%
4 189
 
6.9%
9 176
 
6.4%
6 160
 
5.8%
Other values (3) 126
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing491
Missing (%)100.0%
Memory size4.4 KiB

소재지우편번호
Text

MISSING 

Distinct88
Distinct (%)29.0%
Missing188
Missing (%)38.3%
Memory size4.0 KiB
2024-04-30T04:59:11.546643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0363036
Min length6

Characters and Unicode

Total characters1829
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

Unique36 ?
Unique (%)11.9%

Sample

1st row122837
2nd row122842
3rd row122200
4th row122200
5th row122816
ValueCountFrequency (%)
122924 19
 
6.3%
122809 13
 
4.3%
122837 12
 
4.0%
122808 12
 
4.0%
122813 11
 
3.6%
122900 11
 
3.6%
122810 11
 
3.6%
122882 11
 
3.6%
122842 9
 
3.0%
122881 9
 
3.0%
Other values (78) 185
61.1%
2024-04-30T04:59:11.878977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 682
37.3%
1 378
20.7%
8 243
 
13.3%
9 155
 
8.5%
0 111
 
6.1%
3 61
 
3.3%
4 60
 
3.3%
7 50
 
2.7%
5 50
 
2.7%
6 28
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1818
99.4%
Dash Punctuation 11
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 682
37.5%
1 378
20.8%
8 243
 
13.4%
9 155
 
8.5%
0 111
 
6.1%
3 61
 
3.4%
4 60
 
3.3%
7 50
 
2.8%
5 50
 
2.8%
6 28
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1829
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 682
37.3%
1 378
20.7%
8 243
 
13.3%
9 155
 
8.5%
0 111
 
6.1%
3 61
 
3.3%
4 60
 
3.3%
7 50
 
2.7%
5 50
 
2.7%
6 28
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1829
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 682
37.3%
1 378
20.7%
8 243
 
13.3%
9 155
 
8.5%
0 111
 
6.1%
3 61
 
3.3%
4 60
 
3.3%
7 50
 
2.7%
5 50
 
2.7%
6 28
 
1.5%

지번주소
Text

Distinct470
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2024-04-30T04:59:12.151714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length35
Mean length24.454175
Min length18

Characters and Unicode

Total characters12007
Distinct characters143
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

Unique451 ?
Unique (%)91.9%

Sample

1st row서울특별시 은평구 수색동 141-7 3층
2nd row서울특별시 은평구 대조동 14-18번지 3층동
3rd row서울특별시 은평구 대조동 185-8번지
4th row서울특별시 은평구 진관동 66-30번지
5th row서울특별시 은평구 진관동 99-1번지 2층동
ValueCountFrequency (%)
서울특별시 491
20.6%
은평구 491
20.6%
응암동 106
 
4.4%
갈현동 101
 
4.2%
2층 87
 
3.6%
지층 82
 
3.4%
3층 72
 
3.0%
역촌동 59
 
2.5%
불광동 51
 
2.1%
대조동 48
 
2.0%
Other values (501) 796
33.4%
2024-04-30T04:59:12.530212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2294
19.1%
동 571
 
4.8%
구 497
 
4.1%
은 496
 
4.1%
서 492
 
4.1%
시 492
 
4.1%
특 491
 
4.1%
별 491
 
4.1%
평 491
 
4.1%
울 491
 
4.1%
Other values (133) 5201
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6919
57.6%
Space Separator 2294
 
19.1%
Decimal Number 2293
 
19.1%
Dash Punctuation 479
 
4.0%
Close Punctuation 7
 
0.1%
Open Punctuation 7
 
0.1%
Uppercase Letter 6
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 571
 
8.3%
구 497
 
7.2%
은 496
 
7.2%
서 492
 
7.1%
시 492
 
7.1%
특 491
 
7.1%
별 491
 
7.1%
평 491
 
7.1%
울 491
 
7.1%
지 477
 
6.9%
Other values (114) 1930
27.9%
Decimal Number
ValueCountFrequency (%)
1 400
17.4%
2 372
16.2%
3 312
13.6%
4 261
11.4%
5 204
8.9%
0 175
7.6%
9 173
7.5%
7 143
 
6.2%
8 128
 
5.6%
6 125
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
B 4
66.7%
C 1
 
16.7%
J 1
 
16.7%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
a 1
50.0%
Space Separator
ValueCountFrequency (%)
2294
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 479
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6919
57.6%
Common 5080
42.3%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 571
 
8.3%
구 497
 
7.2%
은 496
 
7.2%
서 492
 
7.1%
시 492
 
7.1%
특 491
 
7.1%
별 491
 
7.1%
평 491
 
7.1%
울 491
 
7.1%
지 477
 
6.9%
Other values (114) 1930
27.9%
Common
ValueCountFrequency (%)
2294
45.2%
- 479
 
9.4%
1 400
 
7.9%
2 372
 
7.3%
3 312
 
6.1%
4 261
 
5.1%
5 204
 
4.0%
0 175
 
3.4%
9 173
 
3.4%
7 143
 
2.8%
Other values (4) 267
 
5.3%
Latin
ValueCountFrequency (%)
B 4
50.0%
e 1
 
12.5%
a 1
 
12.5%
C 1
 
12.5%
J 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6919
57.6%
ASCII 5088
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2294
45.1%
- 479
 
9.4%
1 400
 
7.9%
2 372
 
7.3%
3 312
 
6.1%
4 261
 
5.1%
5 204
 
4.0%
0 175
 
3.4%
9 173
 
3.4%
7 143
 
2.8%
Other values (9) 275
 
5.4%
Hangul
ValueCountFrequency (%)
동 571
 
8.3%
구 497
 
7.2%
은 496
 
7.2%
서 492
 
7.1%
시 492
 
7.1%
특 491
 
7.1%
별 491
 
7.1%
평 491
 
7.1%
울 491
 
7.1%
지 477
 
6.9%
Other values (114) 1930
27.9%

도로명주소
Text

MISSING 

Distinct439
Distinct (%)96.5%
Missing36
Missing (%)7.3%
Memory size4.0 KiB
2024-04-30T04:59:12.793473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length37
Mean length27.784615
Min length22

Characters and Unicode

Total characters12642
Distinct characters164
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

Unique424 ?
Unique (%)93.2%

Sample

1st row서울특별시 은평구 은평터널로 15-1, 3층 (수색동)
2nd row서울특별시 은평구 통일로 723, 3층동 (대조동)
3rd row서울특별시 은평구 통일로 835 (대조동)
4th row서울특별시 은평구 통일로 677, 2층 (녹번동)
5th row서울특별시 은평구 서오릉로 222 (갈현동)
ValueCountFrequency (%)
서울특별시 455
 
17.7%
은평구 455
 
17.7%
갈현동 73
 
2.8%
응암동 70
 
2.7%
2층 49
 
1.9%
3층 47
 
1.8%
은평로 44
 
1.7%
역촌동 42
 
1.6%
지층 40
 
1.6%
통일로 39
 
1.5%
Other values (434) 1252
48.8%
2024-04-30T04:59:13.165504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2293
 
18.1%
서 577
 
4.6%
은 521
 
4.1%
동 521
 
4.1%
평 515
 
4.1%
( 462
 
3.7%
) 462
 
3.7%
구 460
 
3.6%
시 457
 
3.6%
울 455
 
3.6%
Other values (154) 5919
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7365
58.3%
Space Separator 2293
 
18.1%
Decimal Number 1638
 
13.0%
Open Punctuation 462
 
3.7%
Close Punctuation 462
 
3.7%
Other Punctuation 351
 
2.8%
Dash Punctuation 64
 
0.5%
Uppercase Letter 5
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 577
 
7.8%
은 521
 
7.1%
동 521
 
7.1%
평 515
 
7.0%
구 460
 
6.2%
시 457
 
6.2%
울 455
 
6.2%
별 455
 
6.2%
특 455
 
6.2%
로 442
 
6.0%
Other values (134) 2507
34.0%
Decimal Number
ValueCountFrequency (%)
2 343
20.9%
1 319
19.5%
3 233
14.2%
6 121
 
7.4%
9 119
 
7.3%
8 118
 
7.2%
7 108
 
6.6%
5 102
 
6.2%
0 88
 
5.4%
4 87
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
B 3
60.0%
J 1
 
20.0%
C 1
 
20.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
a 1
50.0%
Space Separator
ValueCountFrequency (%)
2293
100.0%
Open Punctuation
ValueCountFrequency (%)
( 462
100.0%
Close Punctuation
ValueCountFrequency (%)
) 462
100.0%
Other Punctuation
ValueCountFrequency (%)
, 351
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7365
58.3%
Common 5270
41.7%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 577
 
7.8%
은 521
 
7.1%
동 521
 
7.1%
평 515
 
7.0%
구 460
 
6.2%
시 457
 
6.2%
울 455
 
6.2%
별 455
 
6.2%
특 455
 
6.2%
로 442
 
6.0%
Other values (134) 2507
34.0%
Common
ValueCountFrequency (%)
2293
43.5%
( 462
 
8.8%
) 462
 
8.8%
, 351
 
6.7%
2 343
 
6.5%
1 319
 
6.1%
3 233
 
4.4%
6 121
 
2.3%
9 119
 
2.3%
8 118
 
2.2%
Other values (5) 449
 
8.5%
Latin
ValueCountFrequency (%)
B 3
42.9%
e 1
 
14.3%
J 1
 
14.3%
a 1
 
14.3%
C 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7365
58.3%
ASCII 5277
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2293
43.5%
( 462
 
8.8%
) 462
 
8.8%
, 351
 
6.7%
2 343
 
6.5%
1 319
 
6.0%
3 233
 
4.4%
6 121
 
2.3%
9 119
 
2.3%
8 118
 
2.2%
Other values (10) 456
 
8.6%
Hangul
ValueCountFrequency (%)
서 577
 
7.8%
은 521
 
7.1%
동 521
 
7.1%
평 515
 
7.0%
구 460
 
6.2%
시 457
 
6.2%
울 455
 
6.2%
별 455
 
6.2%
특 455
 
6.2%
로 442
 
6.0%
Other values (134) 2507
34.0%

도로명우편번호
Text

MISSING 

Distinct89
Distinct (%)44.7%
Missing292
Missing (%)59.5%
Memory size4.0 KiB
2024-04-30T04:59:13.385429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0201005
Min length5

Characters and Unicode

Total characters999
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

Unique39 ?
Unique (%)19.6%

Sample

1st row03489
2nd row03382
3rd row03404
4th row03505
5th row03489
ValueCountFrequency (%)
03329 11
 
5.5%
03330 9
 
4.5%
03485 7
 
3.5%
03396 6
 
3.0%
03335 5
 
2.5%
03331 5
 
2.5%
03404 5
 
2.5%
03460 5
 
2.5%
03456 4
 
2.0%
03385 4
 
2.0%
Other values (79) 138
69.3%
2024-04-30T04:59:13.724942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 335
33.5%
0 240
24.0%
4 133
 
13.3%
9 58
 
5.8%
5 52
 
5.2%
8 49
 
4.9%
6 39
 
3.9%
7 35
 
3.5%
2 32
 
3.2%
1 24
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 997
99.8%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 335
33.6%
0 240
24.1%
4 133
 
13.3%
9 58
 
5.8%
5 52
 
5.2%
8 49
 
4.9%
6 39
 
3.9%
7 35
 
3.5%
2 32
 
3.2%
1 24
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 999
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 335
33.5%
0 240
24.0%
4 133
 
13.3%
9 58
 
5.8%
5 52
 
5.2%
8 49
 
4.9%
6 39
 
3.9%
7 35
 
3.5%
2 32
 
3.2%
1 24
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 999
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 335
33.5%
0 240
24.0%
4 133
 
13.3%
9 58
 
5.8%
5 52
 
5.2%
8 49
 
4.9%
6 39
 
3.9%
7 35
 
3.5%
2 32
 
3.2%
1 24
 
2.4%

사업장명
Text

Distinct355
Distinct (%)72.3%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2024-04-30T04:59:13.984523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length5
Mean length5.4317719
Min length2

Characters and Unicode

Total characters2667
Distinct characters316
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

Unique280 ?
Unique (%)57.0%

Sample

1st row수색당구장
2nd row써브웨이당구장
3rd row뉴욕당구장
4th row통일당구장
5th row세리당구장
ValueCountFrequency (%)
당구장 30
 
5.6%
큐당구장 10
 
1.9%
그린당구장 8
 
1.5%
당구클럽 8
 
1.5%
금성당구장 6
 
1.1%
허리우드당구장 6
 
1.1%
스타당구장 5
 
0.9%
우리당구장 5
 
0.9%
sbs당구장 5
 
0.9%
킹당구장 4
 
0.7%
Other values (351) 450
83.8%
2024-04-30T04:59:14.327661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 469
17.6%
당 462
17.3%
장 406
 
15.2%
클 48
 
1.8%
럽 48
 
1.8%
46
 
1.7%
리 39
 
1.5%
스 38
 
1.4%
이 34
 
1.3%
대 24
 
0.9%
Other values (306) 1053
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2481
93.0%
Uppercase Letter 68
 
2.5%
Space Separator 46
 
1.7%
Lowercase Letter 33
 
1.2%
Decimal Number 30
 
1.1%
Other Punctuation 6
 
0.2%
Dash Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 469
18.9%
당 462
18.6%
장 406
16.4%
클 48
 
1.9%
럽 48
 
1.9%
리 39
 
1.6%
스 38
 
1.5%
이 34
 
1.4%
대 24
 
1.0%
아 24
 
1.0%
Other values (263) 889
35.8%
Uppercase Letter
ValueCountFrequency (%)
S 21
30.9%
B 14
20.6%
J 5
 
7.4%
K 5
 
7.4%
M 4
 
5.9%
O 3
 
4.4%
P 3
 
4.4%
C 3
 
4.4%
E 2
 
2.9%
Q 2
 
2.9%
Other values (6) 6
 
8.8%
Lowercase Letter
ValueCountFrequency (%)
l 7
21.2%
i 7
21.2%
s 4
12.1%
r 3
9.1%
a 3
9.1%
d 3
9.1%
b 2
 
6.1%
x 1
 
3.0%
u 1
 
3.0%
h 1
 
3.0%
Decimal Number
ValueCountFrequency (%)
2 9
30.0%
5 6
20.0%
3 3
 
10.0%
9 3
 
10.0%
0 2
 
6.7%
4 2
 
6.7%
8 2
 
6.7%
1 2
 
6.7%
7 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 4
66.7%
& 1
 
16.7%
? 1
 
16.7%
Space Separator
ValueCountFrequency (%)
46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2481
93.0%
Latin 101
 
3.8%
Common 85
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 469
18.9%
당 462
18.6%
장 406
16.4%
클 48
 
1.9%
럽 48
 
1.9%
리 39
 
1.6%
스 38
 
1.5%
이 34
 
1.4%
대 24
 
1.0%
아 24
 
1.0%
Other values (263) 889
35.8%
Latin
ValueCountFrequency (%)
S 21
20.8%
B 14
13.9%
l 7
 
6.9%
i 7
 
6.9%
J 5
 
5.0%
K 5
 
5.0%
M 4
 
4.0%
s 4
 
4.0%
O 3
 
3.0%
r 3
 
3.0%
Other values (17) 28
27.7%
Common
ValueCountFrequency (%)
46
54.1%
2 9
 
10.6%
5 6
 
7.1%
. 4
 
4.7%
3 3
 
3.5%
9 3
 
3.5%
0 2
 
2.4%
4 2
 
2.4%
8 2
 
2.4%
1 2
 
2.4%
Other values (6) 6
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2481
93.0%
ASCII 186
 
7.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 469
18.9%
당 462
18.6%
장 406
16.4%
클 48
 
1.9%
럽 48
 
1.9%
리 39
 
1.6%
스 38
 
1.5%
이 34
 
1.4%
대 24
 
1.0%
아 24
 
1.0%
Other values (263) 889
35.8%
ASCII
ValueCountFrequency (%)
46
24.7%
S 21
 
11.3%
B 14
 
7.5%
2 9
 
4.8%
l 7
 
3.8%
i 7
 
3.8%
5 6
 
3.2%
J 5
 
2.7%
K 5
 
2.7%
. 4
 
2.2%
Other values (33) 62
33.3%

최종수정일자
Date

Distinct349
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum2003-04-17 19:25:48
Maximum2024-04-25 09:26:37
2024-04-30T04:59:14.449337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:59:14.556617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
I
306 
U
185 

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 306
62.3%
U 185
37.7%

Length

2024-04-30T04:59:14.661033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:59:14.739791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 306
62.3%
u 185
37.7%

데이터갱신일자
Date

Distinct80
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:05:00
2024-04-30T04:59:14.833085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:59:14.953718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing491
Missing (%)100.0%
Memory size4.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct359
Distinct (%)76.9%
Missing24
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean192716.32
Minimum190066.88
Maximum195261.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-04-30T04:59:15.245999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190066.88
5-th percentile191615.34
Q1192387.58
median192748.81
Q3193100.92
95-th percentile193906.99
Maximum195261.99
Range5195.1117
Interquartile range (IQR)713.33792

Descriptive statistics

Standard deviation720.63429
Coefficient of variation (CV)0.0037393526
Kurtosis1.73372
Mean192716.32
Median Absolute Deviation (MAD)356.39093
Skewness-0.59835846
Sum89998523
Variance519313.78
MonotonicityNot monotonic
2024-04-30T04:59:15.368826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192845.044379709 6
 
1.2%
192188.728189884 4
 
0.8%
192837.287423988 4
 
0.8%
192532.575637035 3
 
0.6%
192674.132684249 3
 
0.6%
192757.987582034 3
 
0.6%
192889.99703837 3
 
0.6%
192810.877824845 3
 
0.6%
192752.701315157 3
 
0.6%
193959.144491844 3
 
0.6%
Other values (349) 432
88.0%
(Missing) 24
 
4.9%
ValueCountFrequency (%)
190066.880282325 1
0.2%
190132.63370852 1
0.2%
190350.867421767 1
0.2%
190380.888196393 2
0.4%
190520.211838959 1
0.2%
190531.332179709 1
0.2%
190612.328271849 1
0.2%
190711.072309983 1
0.2%
190727.419366884 1
0.2%
190741.823964705 2
0.4%
ValueCountFrequency (%)
195261.992016208 1
0.2%
194271.930374752 1
0.2%
194196.421627002 1
0.2%
194072.752570199 1
0.2%
194066.58391666 1
0.2%
194050.598690608 1
0.2%
194035.834637116 1
0.2%
194035.729860403 1
0.2%
194032.032045172 1
0.2%
194030.158957686 2
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct359
Distinct (%)76.9%
Missing24
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean455964.87
Minimum452975.49
Maximum461701.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-04-30T04:59:15.498028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452975.49
5-th percentile453518.86
Q1455062.89
median455978.01
Q3457210.4
95-th percentile457913.4
Maximum461701.39
Range8725.901
Interquartile range (IQR)2147.5051

Descriptive statistics

Standard deviation1439.0015
Coefficient of variation (CV)0.0031559481
Kurtosis-0.28699612
Mean455964.87
Median Absolute Deviation (MAD)1140.5653
Skewness-0.0060500197
Sum2.1293559 × 108
Variance2070725.3
MonotonicityNot monotonic
2024-04-30T04:59:15.628326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
457412.609904875 6
 
1.2%
456883.397718273 4
 
0.8%
458256.586618816 4
 
0.8%
454672.690325199 3
 
0.6%
454664.166810326 3
 
0.6%
455577.985797524 3
 
0.6%
457179.398735573 3
 
0.6%
457775.349435125 3
 
0.6%
455364.744276154 3
 
0.6%
457421.363388755 3
 
0.6%
Other values (349) 432
88.0%
(Missing) 24
 
4.9%
ValueCountFrequency (%)
452975.488380827 1
0.2%
452992.137815337 1
0.2%
453004.338574203 2
0.4%
453032.220651511 1
0.2%
453156.773550025 2
0.4%
453171.413906762 1
0.2%
453237.627360387 1
0.2%
453328.114670148 2
0.4%
453384.910806693 1
0.2%
453401.545995001 1
0.2%
ValueCountFrequency (%)
461701.38940861 1
 
0.2%
460150.078332 1
 
0.2%
459641.304690744 1
 
0.2%
459519.169671191 1
 
0.2%
459449.53905373 1
 
0.2%
459055.341555 1
 
0.2%
459027.707949 1
 
0.2%
458256.586618816 4
0.8%
458192.120599854 1
 
0.2%
458047.68730876 1
 
0.2%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
당구장업
404 
<NA>
87 

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 404
82.3%
<NA> 87
 
17.7%

Length

2024-04-30T04:59:15.746972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:59:15.838309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 404
82.3%
na 87
 
17.7%

공사립구분명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
사립
404 
<NA>
87 

Length

Max length4
Median length2
Mean length2.3543788
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 404
82.3%
<NA> 87
 
17.7%

Length

2024-04-30T04:59:15.934692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:59:16.027714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 404
82.3%
na 87
 
17.7%

보험가입여부코드
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
<NA>
412 
0
79 

Length

Max length4
Median length4
Mean length3.5173116
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> 412
83.9%
0 79
 
16.1%

Length

2024-04-30T04:59:16.125535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:59:16.213866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 412
83.9%
0 79
 
16.1%

지도자수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
<NA>
321 
0
170 

Length

Max length4
Median length4
Mean length2.9613035
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 321
65.4%
0 170
34.6%

Length

2024-04-30T04:59:16.308752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:59:16.391996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 321
65.4%
0 170
34.6%

건축물동수
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
<NA>
294 
0
174 
1
 
21
2
 
2

Length

Max length4
Median length4
Mean length2.796334
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 294
59.9%
0 174
35.4%
1 21
 
4.3%
2 2
 
0.4%

Length

2024-04-30T04:59:16.482077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:59:16.569275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 294
59.9%
0 174
35.4%
1 21
 
4.3%
2 2
 
0.4%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct52
Distinct (%)23.5%
Missing270
Missing (%)55.0%
Infinite0
Infinite (%)0.0%
Mean225.03724
Minimum0
Maximum2806.77
Zeros169
Zeros (%)34.4%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-04-30T04:59:16.657017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1281.21
Maximum2806.77
Range2806.77
Interquartile range (IQR)0

Descriptive statistics

Standard deviation496.60636
Coefficient of variation (CV)2.2067741
Kurtosis6.8450471
Mean225.03724
Median Absolute Deviation (MAD)0
Skewness2.5644327
Sum49733.23
Variance246617.88
MonotonicityNot monotonic
2024-04-30T04:59:16.774023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 169
34.4%
929.68 2
 
0.4%
1176.2 1
 
0.2%
1199.13 1
 
0.2%
963.0 1
 
0.2%
1647.44 1
 
0.2%
2219.41 1
 
0.2%
596.62 1
 
0.2%
362.42 1
 
0.2%
109.27 1
 
0.2%
Other values (42) 42
 
8.6%
(Missing) 270
55.0%
ValueCountFrequency (%)
0.0 169
34.4%
109.27 1
 
0.2%
162.64 1
 
0.2%
204.6 1
 
0.2%
205.13 1
 
0.2%
233.0 1
 
0.2%
271.14 1
 
0.2%
272.04 1
 
0.2%
335.46 1
 
0.2%
362.42 1
 
0.2%
ValueCountFrequency (%)
2806.77 1
0.2%
2423.09 1
0.2%
2219.41 1
0.2%
1909.76 1
0.2%
1865.44 1
0.2%
1826.48 1
0.2%
1647.44 1
0.2%
1614.88 1
0.2%
1545.13 1
0.2%
1441.85 1
0.2%

회원모집총인원
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
<NA>
483 
0
 
7
16264
 
1

Length

Max length5
Median length4
Mean length3.9592668
Min length1

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> 483
98.4%
0 7
 
1.4%
16264 1
 
0.2%

Length

2024-04-30T04:59:16.912001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:59:17.003419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 483
98.4%
0 7
 
1.4%
16264 1
 
0.2%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing491
Missing (%)100.0%
Memory size4.4 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing491
Missing (%)100.0%
Memory size4.4 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03110000CDFH330108198900000119890904<NA>3폐업3폐업20201118<NA><NA><NA>373-12977<NA><NA>서울특별시 은평구 수색동 141-7 3층서울특별시 은평구 은평터널로 15-1, 3층 (수색동)03489수색당구장2020-11-18 17:30:47U2020-11-20 02:40:00.0<NA>190793.296133453471.346828당구장업사립<NA><NA><NA><NA><NA><NA><NA>
13110000CDFH330108198900000319891227<NA>3폐업3폐업20010108<NA><NA><NA>358-1998<NA>122837서울특별시 은평구 대조동 14-18번지 3층동서울특별시 은평구 통일로 723, 3층동 (대조동)<NA>써브웨이당구장2003-04-17 19:25:48I2018-08-31 23:59:59.0<NA>193735.91192456421.405234당구장업사립<NA>000.0<NA><NA><NA>
23110000CDFH330108199000000119900112<NA>3폐업3폐업20010420<NA><NA><NA>384-7238<NA>122842서울특별시 은평구 대조동 185-8번지서울특별시 은평구 통일로 835 (대조동)<NA>뉴욕당구장2003-04-17 19:25:48I2018-08-31 23:59:59.0<NA>193030.549439457283.116537당구장업사립<NA>000.0<NA><NA><NA>
33110000CDFH330108199000000219900112<NA>3폐업3폐업19951002<NA><NA><NA>384-3228<NA>122200서울특별시 은평구 진관동 66-30번지<NA><NA>통일당구장2007-08-12 16:17:54I2018-08-31 23:59:59.0<NA>192807.772662459519.169671당구장업사립<NA>000.0<NA><NA><NA>
43110000CDFH330108199000000419900113<NA>3폐업3폐업20100623<NA><NA><NA>389-3218<NA>122200서울특별시 은평구 진관동 99-1번지 2층동<NA><NA>세리당구장2010-06-24 11:55:44I2018-08-31 23:59:59.0<NA>192814.006706459055.341555당구장업사립<NA><NA>00.0<NA><NA><NA>
53110000CDFH33010819900000051990-01-18<NA>1영업/정상13영업중<NA><NA><NA><NA>023892087<NA><NA>서울특별시 은평구 녹번동 13-1 2층서울특별시 은평구 통일로 677, 2층 (녹번동)03382다모아당구장2024-03-25 17:29:21U2023-12-02 22:07:00.0<NA>193999.968668456053.613296<NA><NA><NA><NA><NA><NA><NA><NA><NA>
63110000CDFH330108199000000619900118<NA>3폐업3폐업20040824<NA><NA><NA>359-8174<NA>122816서울특별시 은평구 갈현동 527-13번지서울특별시 은평구 서오릉로 222 (갈현동)<NA>지하당구장2004-11-30 16:10:09I2018-08-31 23:59:59.0<NA>191953.940216456960.687757당구장업사립0<NA><NA><NA><NA><NA><NA>
73110000CDFH330108199000000719900118<NA>3폐업3폐업20000128<NA><NA><NA>355-6890<NA>122820서울특별시 은평구 구산동 24-45번지서울특별시 은평구 갈현로 118 (구산동)<NA>토박이당구장2003-04-17 19:25:48I2018-08-31 23:59:59.0<NA>192075.480322456229.475722당구장업사립<NA>000.0<NA><NA><NA>
83110000CDFH330108199000000819900118<NA>3폐업3폐업19981002<NA><NA><NA>354-8753<NA>122837서울특별시 은평구 대조동 2-9번지서울특별시 은평구 통일로 757 (대조동)<NA>석당구장2003-04-17 19:25:48I2018-08-31 23:59:59.0<NA>193519.842696456728.319722당구장업사립<NA>000.0<NA><NA><NA>
93110000CDFH330108199000000919900118<NA>3폐업3폐업20020630<NA><NA><NA>387-3457<NA>122910서울특별시 은평구 응암동 109-1번지 2층동서울특별시 은평구 응암로 323, 2층동 (응암동)<NA>서부당구장2004-11-30 15:36:43I2018-08-31 23:59:59.0<NA>193030.130167455321.511069당구장업사립0<NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
4813110000CDFH330108202200000620220905<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 불광동 239-61서울특별시 은평구 불광로 95, 2층 (불광동)03355SBS당구장2022-09-05 18:04:04I2021-12-09 00:07:00.0<NA>193988.821281457014.303244<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4823110000CDFH330108202200000720221201<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 역촌동 40-9서울특별시 은평구 진흥로1길 24, 지층 (역촌동)03408역촌당구장2022-12-01 15:43:10I2021-11-02 00:03:00.0<NA>192757.987582455577.985798<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4833110000CDFH330108202200000820221222<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 응암동 749-51 응암빌딩서울특별시 은평구 응암로12길 13, 응암빌딩 3층 (응암동)03479SBS 당구장2022-12-22 18:06:57I2021-11-01 22:04:00.0<NA>192715.937057453955.485151<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4843110000CDFH33010820230000012023-05-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 대조동 197-13서울특별시 은평구 연서로26길 5, 3층 (대조동)03385지구당구장2024-02-19 15:07:25U2023-12-01 22:01:00.0<NA>192891.043291457215.299166<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4853110000CDFH33010820230000022023-05-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-355-4959<NA><NA>서울특별시 은평구 녹번동 154-41서울특별시 은평구 서오릉로 31, 4층 (녹번동)03459B&B 당구클럽2023-05-23 09:46:49I2022-12-04 22:05:00.0<NA>193297.480916455712.079064<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4863110000CDFH33010820240000012024-03-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 응암동 745-11서울특별시 은평구 응암로12길 27, 2층 (응암동)03479나이스 당구장2024-03-19 09:22:28I2023-12-02 22:01:00.0<NA>192839.17855453890.07501<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4873110000CDFH33010820240000022024-03-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 대조동 3-51서울특별시 은평구 통일로69길 9, 2층 (대조동)03396큐당구장2024-03-27 17:58:04I2023-12-02 22:09:00.0<NA>193531.796024456579.19067<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4883110000CDFH33010820240000032024-03-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 대조동 3-51서울특별시 은평구 통일로69길 9, 2층 (대조동)03396큐당구장2024-03-28 09:16:04I2023-12-02 21:00:00.0<NA>193531.796024456579.19067<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4893110000CDFH33010820240000042024-03-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 대조동 3-51서울특별시 은평구 통일로69길 9, 2층 (대조동)03396큐당구장2024-03-29 09:22:54I2023-12-02 21:01:00.0<NA>193531.796024456579.19067<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4903110000CDFH33010820240000052024-04-25<NA>1영업/정상13영업중<NA><NA><NA><NA>02-356-7008<NA><NA>서울특별시 은평구 불광동 221-12 삼덕빌딩서울특별시 은평구 불광로 139, 삼덕빌딩 2층 (불광동)03354킴스당구장2024-04-25 09:26:37I2023-12-03 22:07:00.0<NA>193959.144492457421.363389<NA><NA><NA><NA><NA><NA><NA><NA><NA>