Overview

Dataset statistics

Number of variables34
Number of observations324
Missing cells3457
Missing cells (%)31.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory91.6 KiB
Average record size in memory289.4 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
Author도봉구
URLhttps://data.seoul.go.kr/dataList/OA-19636/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
보험가입여부코드 is highly imbalanced (52.5%)Imbalance
회원모집총인원 is highly imbalanced (97.0%)Imbalance
인허가취소일자 has 324 (100.0%) missing valuesMissing
폐업일자 has 121 (37.3%) missing valuesMissing
휴업시작일자 has 324 (100.0%) missing valuesMissing
휴업종료일자 has 324 (100.0%) missing valuesMissing
재개업일자 has 324 (100.0%) missing valuesMissing
전화번호 has 289 (89.2%) missing valuesMissing
소재지면적 has 324 (100.0%) missing valuesMissing
소재지우편번호 has 41 (12.7%) missing valuesMissing
도로명주소 has 14 (4.3%) missing valuesMissing
도로명우편번호 has 223 (68.8%) missing valuesMissing
업태구분명 has 324 (100.0%) missing valuesMissing
좌표정보(X) has 6 (1.9%) missing valuesMissing
좌표정보(Y) has 6 (1.9%) missing valuesMissing
건축물연면적 has 165 (50.9%) missing valuesMissing
세부업종명 has 324 (100.0%) missing valuesMissing
법인명 has 324 (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 134 (41.4%) zerosZeros

Reproduction

Analysis started2024-05-11 01:01:44.212364
Analysis finished2024-05-11 01:01:45.534256
Duration1.32 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
3090000
324 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3090000
2nd row3090000
3rd row3090000
4th row3090000
5th row3090000

Common Values

ValueCountFrequency (%)
3090000 324
100.0%

Length

2024-05-11T01:01:45.778313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:01:46.086341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3090000 324
100.0%

관리번호
Text

UNIQUE 

Distinct324
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-05-11T01:01:46.707246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters6480
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

Unique324 ?
Unique (%)100.0%

Sample

1st rowCDFH3301081989000003
2nd rowCDFH3301081989000004
3rd rowCDFH3301081989000005
4th rowCDFH3301081989000006
5th rowCDFH3301081990000001
ValueCountFrequency (%)
cdfh3301081989000003 1
 
0.3%
cdfh3301082006000004 1
 
0.3%
cdfh3301082008000010 1
 
0.3%
cdfh3301082008000009 1
 
0.3%
cdfh3301082008000008 1
 
0.3%
cdfh3301082008000007 1
 
0.3%
cdfh3301082008000006 1
 
0.3%
cdfh3301082008000005 1
 
0.3%
cdfh3301082008000004 1
 
0.3%
cdfh3301082008000011 1
 
0.3%
Other values (314) 314
96.9%
2024-05-11T01:01:47.818633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2447
37.8%
3 742
 
11.5%
1 670
 
10.3%
8 386
 
6.0%
9 355
 
5.5%
C 324
 
5.0%
D 324
 
5.0%
F 324
 
5.0%
H 324
 
5.0%
2 272
 
4.2%
Other values (4) 312
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5184
80.0%
Uppercase Letter 1296
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2447
47.2%
3 742
 
14.3%
1 670
 
12.9%
8 386
 
7.4%
9 355
 
6.8%
2 272
 
5.2%
4 94
 
1.8%
6 84
 
1.6%
5 83
 
1.6%
7 51
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 324
25.0%
D 324
25.0%
F 324
25.0%
H 324
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5184
80.0%
Latin 1296
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2447
47.2%
3 742
 
14.3%
1 670
 
12.9%
8 386
 
7.4%
9 355
 
6.8%
2 272
 
5.2%
4 94
 
1.8%
6 84
 
1.6%
5 83
 
1.6%
7 51
 
1.0%
Latin
ValueCountFrequency (%)
C 324
25.0%
D 324
25.0%
F 324
25.0%
H 324
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6480
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2447
37.8%
3 742
 
11.5%
1 670
 
10.3%
8 386
 
6.0%
9 355
 
5.5%
C 324
 
5.0%
D 324
 
5.0%
F 324
 
5.0%
H 324
 
5.0%
2 272
 
4.2%
Other values (4) 312
 
4.8%

인허가일자
Date

Distinct306
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum1989-12-19 00:00:00
Maximum2024-04-25 00:00:00
2024-05-11T01:01:48.394854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:01:48.993239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
3
203 
1
121 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 203
62.7%
1 121
37.3%

Length

2024-05-11T01:01:49.411226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:01:49.877640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 203
62.7%
1 121
37.3%

영업상태명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
폐업
203 
영업/정상
121 

Length

Max length5
Median length2
Mean length3.1203704
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 203
62.7%
영업/정상 121
37.3%

Length

2024-05-11T01:01:50.265378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:01:50.693642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 203
62.7%
영업/정상 121
37.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
3
203 
13
121 

Length

Max length2
Median length1
Mean length1.3734568
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 203
62.7%
13 121
37.3%

Length

2024-05-11T01:01:51.025955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:01:51.309213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 203
62.7%
13 121
37.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
폐업
203 
영업중
121 

Length

Max length3
Median length2
Mean length2.3734568
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 203
62.7%
영업중 121
37.3%

Length

2024-05-11T01:01:51.688202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:01:52.046594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 203
62.7%
영업중 121
37.3%

폐업일자
Date

MISSING 

Distinct165
Distinct (%)81.3%
Missing121
Missing (%)37.3%
Memory size2.7 KiB
Minimum1996-07-02 00:00:00
Maximum2024-03-19 00:00:00
2024-05-11T01:01:52.660192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:01:53.607822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

전화번호
Text

MISSING 

Distinct35
Distinct (%)100.0%
Missing289
Missing (%)89.2%
Memory size2.7 KiB
2024-05-11T01:01:54.226962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.0857143
Min length8

Characters and Unicode

Total characters318
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 (%)100.0%

Sample

1st row3492-6691
2nd row993-7118
3rd row996-1260
4th row954-9759
5th row3494-6294
ValueCountFrequency (%)
3492-6691 1
 
2.9%
997-0682 1
 
2.9%
070-8111-7837 1
 
2.9%
907-5283 1
 
2.9%
998-9809 1
 
2.9%
954-8727 1
 
2.9%
902-9902 1
 
2.9%
954-1488 1
 
2.9%
02-998-8852 1
 
2.9%
3492-4939 1
 
2.9%
Other values (25) 25
71.4%
2024-05-11T01:01:55.466357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 64
20.1%
0 45
14.2%
- 44
13.8%
2 29
9.1%
8 23
 
7.2%
5 22
 
6.9%
7 21
 
6.6%
6 20
 
6.3%
4 19
 
6.0%
3 17
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 274
86.2%
Dash Punctuation 44
 
13.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 64
23.4%
0 45
16.4%
2 29
10.6%
8 23
 
8.4%
5 22
 
8.0%
7 21
 
7.7%
6 20
 
7.3%
4 19
 
6.9%
3 17
 
6.2%
1 14
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 318
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 64
20.1%
0 45
14.2%
- 44
13.8%
2 29
9.1%
8 23
 
7.2%
5 22
 
6.9%
7 21
 
6.6%
6 20
 
6.3%
4 19
 
6.0%
3 17
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 318
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 64
20.1%
0 45
14.2%
- 44
13.8%
2 29
9.1%
8 23
 
7.2%
5 22
 
6.9%
7 21
 
6.6%
6 20
 
6.3%
4 19
 
6.0%
3 17
 
5.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

소재지우편번호
Text

MISSING 

Distinct86
Distinct (%)30.4%
Missing41
Missing (%)12.7%
Memory size2.7 KiB
2024-05-11T01:01:56.301282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0742049
Min length6

Characters and Unicode

Total characters1719
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

Unique37 ?
Unique (%)13.1%

Sample

1st row132820
2nd row132819
3rd row132819
4th row132820
5th row132863
ValueCountFrequency (%)
132898 18
 
6.4%
132924 12
 
4.2%
132853 12
 
4.2%
132917 11
 
3.9%
132864 10
 
3.5%
132854 9
 
3.2%
132892 9
 
3.2%
132904 8
 
2.8%
132814 8
 
2.8%
132820 8
 
2.8%
Other values (76) 178
62.9%
2024-05-11T01:01:57.622213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 362
21.1%
1 350
20.4%
3 316
18.4%
8 242
14.1%
9 145
8.4%
4 90
 
5.2%
0 63
 
3.7%
5 60
 
3.5%
7 36
 
2.1%
6 34
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1698
98.8%
Dash Punctuation 21
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 362
21.3%
1 350
20.6%
3 316
18.6%
8 242
14.3%
9 145
8.5%
4 90
 
5.3%
0 63
 
3.7%
5 60
 
3.5%
7 36
 
2.1%
6 34
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1719
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 362
21.1%
1 350
20.4%
3 316
18.4%
8 242
14.1%
9 145
8.4%
4 90
 
5.2%
0 63
 
3.7%
5 60
 
3.5%
7 36
 
2.1%
6 34
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1719
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 362
21.1%
1 350
20.4%
3 316
18.4%
8 242
14.1%
9 145
8.4%
4 90
 
5.2%
0 63
 
3.7%
5 60
 
3.5%
7 36
 
2.1%
6 34
 
2.0%

지번주소
Text

Distinct307
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-05-11T01:01:58.560849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length38
Mean length23.438272
Min length16

Characters and Unicode

Total characters7594
Distinct characters94
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique294 ?
Unique (%)90.7%

Sample

1st row서울특별시 도봉구 도봉동 619번지
2nd row서울특별시 도봉구 도봉동 596-15번지
3rd row서울특별시 도봉구 도봉동 600-11번지
4th row서울특별시 도봉구 도봉동 617-5번지
5th row서울특별시 도봉구 쌍문동 85-3번지
ValueCountFrequency (%)
서울특별시 324
22.3%
도봉구 324
22.3%
창동 127
 
8.7%
방학동 95
 
6.5%
쌍문동 52
 
3.6%
도봉동 50
 
3.4%
3층 26
 
1.8%
2층 21
 
1.4%
지하1층 11
 
0.8%
지하 10
 
0.7%
Other values (340) 416
28.6%
2024-05-11T01:02:00.037124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1402
18.5%
도 375
 
4.9%
봉 375
 
4.9%
동 334
 
4.4%
시 325
 
4.3%
구 325
 
4.3%
서 324
 
4.3%
특 324
 
4.3%
별 324
 
4.3%
울 324
 
4.3%
Other values (84) 3162
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4301
56.6%
Decimal Number 1585
 
20.9%
Space Separator 1402
 
18.5%
Dash Punctuation 285
 
3.8%
Other Punctuation 14
 
0.2%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 375
 
8.7%
봉 375
 
8.7%
동 334
 
7.8%
시 325
 
7.6%
구 325
 
7.6%
서 324
 
7.5%
특 324
 
7.5%
별 324
 
7.5%
울 324
 
7.5%
지 293
 
6.8%
Other values (66) 978
22.7%
Decimal Number
ValueCountFrequency (%)
6 233
14.7%
1 230
14.5%
5 225
14.2%
3 193
12.2%
2 183
11.5%
7 134
8.5%
0 127
8.0%
4 115
7.3%
8 78
 
4.9%
9 67
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 11
78.6%
. 2
 
14.3%
@ 1
 
7.1%
Space Separator
ValueCountFrequency (%)
1402
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 285
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4301
56.6%
Common 3293
43.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 375
 
8.7%
봉 375
 
8.7%
동 334
 
7.8%
시 325
 
7.6%
구 325
 
7.6%
서 324
 
7.5%
특 324
 
7.5%
별 324
 
7.5%
울 324
 
7.5%
지 293
 
6.8%
Other values (66) 978
22.7%
Common
ValueCountFrequency (%)
1402
42.6%
- 285
 
8.7%
6 233
 
7.1%
1 230
 
7.0%
5 225
 
6.8%
3 193
 
5.9%
2 183
 
5.6%
7 134
 
4.1%
0 127
 
3.9%
4 115
 
3.5%
Other values (8) 166
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4301
56.6%
ASCII 3293
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1402
42.6%
- 285
 
8.7%
6 233
 
7.1%
1 230
 
7.0%
5 225
 
6.8%
3 193
 
5.9%
2 183
 
5.6%
7 134
 
4.1%
0 127
 
3.9%
4 115
 
3.5%
Other values (8) 166
 
5.0%
Hangul
ValueCountFrequency (%)
도 375
 
8.7%
봉 375
 
8.7%
동 334
 
7.8%
시 325
 
7.6%
구 325
 
7.6%
서 324
 
7.5%
특 324
 
7.5%
별 324
 
7.5%
울 324
 
7.5%
지 293
 
6.8%
Other values (66) 978
22.7%

도로명주소
Text

MISSING 

Distinct297
Distinct (%)95.8%
Missing14
Missing (%)4.3%
Memory size2.7 KiB
2024-05-11T01:02:01.179744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length42
Mean length28.3
Min length22

Characters and Unicode

Total characters8773
Distinct characters119
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

Unique288 ?
Unique (%)92.9%

Sample

1st row서울특별시 도봉구 시루봉로 302 (도봉동)
2nd row서울특별시 도봉구 도봉로165길 8, 2층 (도봉동)
3rd row서울특별시 도봉구 도봉로165길 17 (도봉동)
4th row서울특별시 도봉구 노해로 247 (쌍문동)
5th row서울특별시 도봉구 시루봉로 206 (방학동,15)
ValueCountFrequency (%)
서울특별시 310
18.1%
도봉구 310
18.1%
창동 86
 
5.0%
방학동 73
 
4.3%
도봉로 49
 
2.9%
쌍문동 36
 
2.1%
도봉동 34
 
2.0%
2층 28
 
1.6%
3층 27
 
1.6%
도당로 27
 
1.6%
Other values (342) 733
42.8%
2024-05-11T01:02:02.911421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1593
18.2%
도 518
 
5.9%
봉 486
 
5.5%
1 337
 
3.8%
동 321
 
3.7%
시 320
 
3.6%
) 313
 
3.6%
( 313
 
3.6%
울 310
 
3.5%
서 310
 
3.5%
Other values (109) 3952
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4903
55.9%
Space Separator 1593
 
18.2%
Decimal Number 1421
 
16.2%
Close Punctuation 313
 
3.6%
Open Punctuation 313
 
3.6%
Other Punctuation 208
 
2.4%
Dash Punctuation 16
 
0.2%
Math Symbol 3
 
< 0.1%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 518
 
10.6%
봉 486
 
9.9%
동 321
 
6.5%
시 320
 
6.5%
울 310
 
6.3%
서 310
 
6.3%
구 310
 
6.3%
별 310
 
6.3%
특 310
 
6.3%
로 307
 
6.3%
Other values (89) 1401
28.6%
Decimal Number
ValueCountFrequency (%)
1 337
23.7%
2 198
13.9%
3 187
13.2%
5 135
9.5%
6 130
 
9.1%
0 117
 
8.2%
4 103
 
7.2%
7 91
 
6.4%
9 67
 
4.7%
8 56
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
L 1
33.3%
G 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 206
99.0%
. 2
 
1.0%
Space Separator
ValueCountFrequency (%)
1593
100.0%
Close Punctuation
ValueCountFrequency (%)
) 313
100.0%
Open Punctuation
ValueCountFrequency (%)
( 313
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4903
55.9%
Common 3867
44.1%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 518
 
10.6%
봉 486
 
9.9%
동 321
 
6.5%
시 320
 
6.5%
울 310
 
6.3%
서 310
 
6.3%
구 310
 
6.3%
별 310
 
6.3%
특 310
 
6.3%
로 307
 
6.3%
Other values (89) 1401
28.6%
Common
ValueCountFrequency (%)
1593
41.2%
1 337
 
8.7%
) 313
 
8.1%
( 313
 
8.1%
, 206
 
5.3%
2 198
 
5.1%
3 187
 
4.8%
5 135
 
3.5%
6 130
 
3.4%
0 117
 
3.0%
Other values (7) 338
 
8.7%
Latin
ValueCountFrequency (%)
B 1
33.3%
L 1
33.3%
G 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4903
55.9%
ASCII 3870
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1593
41.2%
1 337
 
8.7%
) 313
 
8.1%
( 313
 
8.1%
, 206
 
5.3%
2 198
 
5.1%
3 187
 
4.8%
5 135
 
3.5%
6 130
 
3.4%
0 117
 
3.0%
Other values (10) 341
 
8.8%
Hangul
ValueCountFrequency (%)
도 518
 
10.6%
봉 486
 
9.9%
동 321
 
6.5%
시 320
 
6.5%
울 310
 
6.3%
서 310
 
6.3%
구 310
 
6.3%
별 310
 
6.3%
특 310
 
6.3%
로 307
 
6.3%
Other values (89) 1401
28.6%

도로명우편번호
Text

MISSING 

Distinct78
Distinct (%)77.2%
Missing223
Missing (%)68.8%
Memory size2.7 KiB
2024-05-11T01:02:03.765574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.5346535
Min length5

Characters and Unicode

Total characters559
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

Unique61 ?
Unique (%)60.4%

Sample

1st row132819
2nd row132916
3rd row132862
4th row132-878
5th row132924
ValueCountFrequency (%)
01399 4
 
4.0%
01454 3
 
3.0%
01455 3
 
3.0%
01389 3
 
3.0%
01470 3
 
3.0%
01345 2
 
2.0%
01351 2
 
2.0%
132858 2
 
2.0%
01353 2
 
2.0%
132853 2
 
2.0%
Other values (68) 75
74.3%
2024-05-11T01:02:05.088229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 118
21.1%
3 97
17.4%
0 77
13.8%
2 63
11.3%
4 51
9.1%
8 48
8.6%
9 40
 
7.2%
5 31
 
5.5%
7 18
 
3.2%
- 9
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 550
98.4%
Dash Punctuation 9
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 118
21.5%
3 97
17.6%
0 77
14.0%
2 63
11.5%
4 51
9.3%
8 48
8.7%
9 40
 
7.3%
5 31
 
5.6%
7 18
 
3.3%
6 7
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 559
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 118
21.1%
3 97
17.4%
0 77
13.8%
2 63
11.3%
4 51
9.1%
8 48
8.6%
9 40
 
7.2%
5 31
 
5.5%
7 18
 
3.2%
- 9
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 559
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 118
21.1%
3 97
17.4%
0 77
13.8%
2 63
11.3%
4 51
9.1%
8 48
8.6%
9 40
 
7.2%
5 31
 
5.5%
7 18
 
3.2%
- 9
 
1.6%

사업장명
Text

Distinct275
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-05-11T01:02:06.154481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length4.9444444
Min length1

Characters and Unicode

Total characters1602
Distinct characters251
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

Unique241 ?
Unique (%)74.4%

Sample

1st row럭키당구장
2nd row둘리당구장
3rd row봉안
4th row원
5th row한도
ValueCountFrequency (%)
당구장 20
 
5.3%
당구클럽 12
 
3.2%
황금당구장 5
 
1.3%
킹당구장 4
 
1.1%
매니아 4
 
1.1%
황실당구장 4
 
1.1%
쿠션당구장 3
 
0.8%
킹 3
 
0.8%
클럽 3
 
0.8%
에이스 3
 
0.8%
Other values (273) 316
83.8%
2024-05-11T01:02:08.009556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 227
 
14.2%
당 224
 
14.0%
장 180
 
11.2%
53
 
3.3%
클 50
 
3.1%
럽 49
 
3.1%
스 32
 
2.0%
아 23
 
1.4%
리 20
 
1.2%
이 16
 
1.0%
Other values (241) 728
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1407
87.8%
Uppercase Letter 88
 
5.5%
Space Separator 53
 
3.3%
Decimal Number 34
 
2.1%
Other Punctuation 9
 
0.6%
Lowercase Letter 5
 
0.3%
Close Punctuation 3
 
0.2%
Open Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 227
 
16.1%
당 224
 
15.9%
장 180
 
12.8%
클 50
 
3.6%
럽 49
 
3.5%
스 32
 
2.3%
아 23
 
1.6%
리 20
 
1.4%
이 16
 
1.1%
드 16
 
1.1%
Other values (203) 570
40.5%
Uppercase Letter
ValueCountFrequency (%)
S 15
17.0%
B 14
15.9%
C 8
9.1%
K 7
8.0%
A 7
8.0%
I 5
 
5.7%
O 4
 
4.5%
R 4
 
4.5%
P 4
 
4.5%
L 3
 
3.4%
Other values (9) 17
19.3%
Decimal Number
ValueCountFrequency (%)
0 13
38.2%
2 12
35.3%
8 2
 
5.9%
4 2
 
5.9%
3 1
 
2.9%
7 1
 
2.9%
5 1
 
2.9%
1 1
 
2.9%
9 1
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
s 1
20.0%
e 1
20.0%
p 1
20.0%
i 1
20.0%
v 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 7
77.8%
& 2
 
22.2%
Space Separator
ValueCountFrequency (%)
53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1407
87.8%
Common 102
 
6.4%
Latin 93
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 227
 
16.1%
당 224
 
15.9%
장 180
 
12.8%
클 50
 
3.6%
럽 49
 
3.5%
스 32
 
2.3%
아 23
 
1.6%
리 20
 
1.4%
이 16
 
1.1%
드 16
 
1.1%
Other values (203) 570
40.5%
Latin
ValueCountFrequency (%)
S 15
16.1%
B 14
15.1%
C 8
 
8.6%
K 7
 
7.5%
A 7
 
7.5%
I 5
 
5.4%
O 4
 
4.3%
R 4
 
4.3%
P 4
 
4.3%
L 3
 
3.2%
Other values (14) 22
23.7%
Common
ValueCountFrequency (%)
53
52.0%
0 13
 
12.7%
2 12
 
11.8%
. 7
 
6.9%
) 3
 
2.9%
( 3
 
2.9%
& 2
 
2.0%
8 2
 
2.0%
4 2
 
2.0%
3 1
 
1.0%
Other values (4) 4
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1407
87.8%
ASCII 195
 
12.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 227
 
16.1%
당 224
 
15.9%
장 180
 
12.8%
클 50
 
3.6%
럽 49
 
3.5%
스 32
 
2.3%
아 23
 
1.6%
리 20
 
1.4%
이 16
 
1.1%
드 16
 
1.1%
Other values (203) 570
40.5%
ASCII
ValueCountFrequency (%)
53
27.2%
S 15
 
7.7%
B 14
 
7.2%
0 13
 
6.7%
2 12
 
6.2%
C 8
 
4.1%
K 7
 
3.6%
A 7
 
3.6%
. 7
 
3.6%
I 5
 
2.6%
Other values (28) 54
27.7%

최종수정일자
Date

Distinct224
Distinct (%)69.1%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2003-02-06 15:08:39
Maximum2024-05-02 15:17:46
2024-05-11T01:02:08.596922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:02:09.104003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
I
245 
U
79 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 245
75.6%
U 79
 
24.4%

Length

2024-05-11T01:02:09.677533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:02:10.094650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 245
75.6%
u 79
 
24.4%

데이터갱신일자
Date

Distinct78
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:04:00
2024-05-11T01:02:10.554561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:02:10.992126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct240
Distinct (%)75.5%
Missing6
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean203423.91
Minimum201076.85
Maximum204502.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-11T01:02:11.379524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201076.85
5-th percentile202699.62
Q1203066.42
median203463.23
Q3203798.45
95-th percentile204285.33
Maximum204502.12
Range3425.2655
Interquartile range (IQR)732.03453

Descriptive statistics

Standard deviation575.68608
Coefficient of variation (CV)0.0028299824
Kurtosis3.6665418
Mean203423.91
Median Absolute Deviation (MAD)353.84346
Skewness-1.2461492
Sum64688803
Variance331414.46
MonotonicityNot monotonic
2024-05-11T01:02:11.865718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
203001.624436635 5
 
1.5%
204348.91 4
 
1.2%
204317.264907404 3
 
0.9%
203312.854022193 3
 
0.9%
203525.170717593 3
 
0.9%
203678.453826709 3
 
0.9%
203226.215863493 3
 
0.9%
203015.3428086 3
 
0.9%
204285.331210395 3
 
0.9%
204004.945534634 3
 
0.9%
Other values (230) 285
88.0%
(Missing) 6
 
1.9%
ValueCountFrequency (%)
201076.85313831 1
0.3%
201117.225298634 1
0.3%
201122.155870704 2
0.6%
201174.807749108 1
0.3%
201180.316997451 1
0.3%
201366.004138221 1
0.3%
201975.484196351 2
0.6%
202165.632836592 1
0.3%
202168.38919607 1
0.3%
202237.410410982 1
0.3%
ValueCountFrequency (%)
204502.118604099 1
 
0.3%
204462.811445887 1
 
0.3%
204397.004135761 2
0.6%
204357.382835077 1
 
0.3%
204348.91 4
1.2%
204317.264907404 3
0.9%
204314.304381697 1
 
0.3%
204303.405 1
 
0.3%
204286.797406657 1
 
0.3%
204285.331210395 3
0.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct240
Distinct (%)75.5%
Missing6
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean461788.49
Minimum459099.82
Maximum464751.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-11T01:02:12.321596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum459099.82
5-th percentile459596.5
Q1460764.7
median461737.66
Q3462734.51
95-th percentile464120.05
Maximum464751.48
Range5651.6625
Interquartile range (IQR)1969.8115

Descriptive statistics

Standard deviation1328.0677
Coefficient of variation (CV)0.002875922
Kurtosis-0.56161921
Mean461788.49
Median Absolute Deviation (MAD)996.84531
Skewness0.15147334
Sum1.4684874 × 108
Variance1763763.8
MonotonicityNot monotonic
2024-05-11T01:02:12.864274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
460552.440130588 5
 
1.5%
461195.825 4
 
1.2%
461224.014056627 3
 
0.9%
462707.406690661 3
 
0.9%
463014.42206636 3
 
0.9%
462523.887560771 3
 
0.9%
461737.664627581 3
 
0.9%
462213.421376115 3
 
0.9%
461213.575148552 3
 
0.9%
461048.885008795 3
 
0.9%
Other values (230) 285
88.0%
(Missing) 6
 
1.9%
ValueCountFrequency (%)
459099.820016116 1
0.3%
459113.837832867 1
0.3%
459128.259094637 1
0.3%
459386.23137835 1
0.3%
459438.12720546 1
0.3%
459476.412995442 1
0.3%
459476.6187872 1
0.3%
459494.640820124 2
0.6%
459520.660717027 1
0.3%
459551.117655424 1
0.3%
ValueCountFrequency (%)
464751.482559612 1
0.3%
464701.232531947 1
0.3%
464667.465658621 2
0.6%
464658.738296582 1
0.3%
464644.874400068 1
0.3%
464638.133327247 2
0.6%
464626.794090258 1
0.3%
464606.294620828 1
0.3%
464603.47362958 1
0.3%
464592.19632957 1
0.3%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
당구장업
277 
<NA>
47 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
당구장업 277
85.5%
<NA> 47
 
14.5%

Length

2024-05-11T01:02:13.362213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:02:13.756526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 277
85.5%
na 47
 
14.5%

공사립구분명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
사립
277 
<NA>
47 

Length

Max length4
Median length2
Mean length2.2901235
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 277
85.5%
<NA> 47
 
14.5%

Length

2024-05-11T01:02:14.130084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:02:14.506748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 277
85.5%
na 47
 
14.5%

보험가입여부코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
258 
0
65 
Y
 
1

Length

Max length4
Median length4
Mean length3.3888889
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 258
79.6%
0 65
 
20.1%
Y 1
 
0.3%

Length

2024-05-11T01:02:14.762601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:02:14.999480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 258
79.6%
0 65
 
20.1%
y 1
 
0.3%

지도자수
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
212 
0
112 

Length

Max length4
Median length4
Mean length2.962963
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 212
65.4%
0 112
34.6%

Length

2024-05-11T01:02:15.308367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:02:15.645532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 212
65.4%
0 112
34.6%

건축물동수
Categorical

Distinct5
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
173 
0
143 
1
 
6
10
 
1
6
 
1

Length

Max length4
Median length4
Mean length2.6049383
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 173
53.4%
0 143
44.1%
1 6
 
1.9%
10 1
 
0.3%
6 1
 
0.3%

Length

2024-05-11T01:02:15.938842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:02:16.159621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 173
53.4%
0 143
44.1%
1 6
 
1.9%
10 1
 
0.3%
6 1
 
0.3%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)15.1%
Missing165
Missing (%)50.9%
Infinite0
Infinite (%)0.0%
Mean210.82862
Minimum0
Maximum3374.41
Zeros134
Zeros (%)41.4%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-11T01:02:16.446058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1334.874
Maximum3374.41
Range3374.41
Interquartile range (IQR)0

Descriptive statistics

Standard deviation572.78241
Coefficient of variation (CV)2.7168153
Kurtosis11.01759
Mean210.82862
Median Absolute Deviation (MAD)0
Skewness3.2215323
Sum33521.75
Variance328079.69
MonotonicityNot monotonic
2024-05-11T01:02:16.850432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.0 134
41.4%
696.24 2
 
0.6%
918.96 2
 
0.6%
984.57 1
 
0.3%
941.22 1
 
0.3%
1340.85 1
 
0.3%
1556.93 1
 
0.3%
893.91 1
 
0.3%
1242.54 1
 
0.3%
1098.2 1
 
0.3%
Other values (14) 14
 
4.3%
(Missing) 165
50.9%
ValueCountFrequency (%)
0.0 134
41.4%
428.56 1
 
0.3%
599.64 1
 
0.3%
681.6 1
 
0.3%
696.24 2
 
0.6%
770.04 1
 
0.3%
889.24 1
 
0.3%
893.91 1
 
0.3%
918.96 2
 
0.6%
941.22 1
 
0.3%
ValueCountFrequency (%)
3374.41 1
0.3%
2688.91 1
0.3%
2628.33 1
0.3%
2338.39 1
0.3%
2282.03 1
0.3%
1852.23 1
0.3%
1556.93 1
0.3%
1340.85 1
0.3%
1334.21 1
0.3%
1278.28 1
0.3%

회원모집총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
323 
0
 
1

Length

Max length4
Median length4
Mean length3.9907407
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 323
99.7%
0 1
 
0.3%

Length

2024-05-11T01:02:17.299504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:02:17.602416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 323
99.7%
0 1
 
0.3%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03090000CDFH330108198900000319891219<NA>3폐업3폐업20000229<NA><NA><NA><NA><NA>132820서울특별시 도봉구 도봉동 619번지서울특별시 도봉구 시루봉로 302 (도봉동)<NA>럭키당구장2003-02-06 15:08:39I2018-08-31 23:59:59.0<NA>203690.408295463195.245659당구장업사립<NA>000.0<NA><NA><NA>
13090000CDFH330108198900000419891219<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>132819서울특별시 도봉구 도봉동 596-15번지서울특별시 도봉구 도봉로165길 8, 2층 (도봉동)132819둘리당구장2018-06-28 09:03:04I2018-08-31 23:59:59.0<NA>203850.494568463909.646837당구장업사립<NA>00<NA><NA><NA><NA>
23090000CDFH330108198900000519891219<NA>3폐업3폐업19980119<NA><NA><NA><NA><NA>132819서울특별시 도봉구 도봉동 600-11번지서울특별시 도봉구 도봉로165길 17 (도봉동)<NA>봉안2003-02-06 15:08:39I2018-08-31 23:59:59.0<NA>203814.533893463853.603505당구장업사립<NA>000.0<NA><NA><NA>
33090000CDFH330108198900000619891219<NA>3폐업3폐업20030322<NA><NA><NA><NA><NA>132820서울특별시 도봉구 도봉동 617-5번지<NA><NA>원2006-11-21 12:57:58I2018-08-31 23:59:59.0<NA><NA><NA>당구장업사립0<NA><NA><NA><NA><NA><NA>
43090000CDFH330108199000000119900509<NA>3폐업3폐업19991222<NA><NA><NA><NA><NA>132863서울특별시 도봉구 쌍문동 85-3번지서울특별시 도봉구 노해로 247 (쌍문동)<NA>한도2003-02-06 15:08:39I2018-08-31 23:59:59.0<NA>203068.644112461009.794887당구장업사립<NA>000.0<NA><NA><NA>
53090000CDFH330108199000000219900614<NA>3폐업3폐업20050525<NA><NA><NA><NA><NA>132839서울특별시 도봉구 방학동 619-14번지 15서울특별시 도봉구 시루봉로 206 (방학동,15)<NA>로얄2009-04-09 11:05:00I2018-08-31 23:59:59.0<NA>202879.480825462745.121256당구장업사립<NA><NA>00.0<NA><NA><NA>
63090000CDFH330108199000000419900726<NA>3폐업3폐업20000418<NA><NA><NA><NA><NA>132813서울특별시 도봉구 도봉동 562-40번지 2층서울특별시 도봉구 도봉로 879 (도봉동,2층)<NA>좋은 사람들2003-02-06 15:08:39I2018-08-31 23:59:59.0<NA>203953.878832464506.575598당구장업사립<NA>000.0<NA><NA><NA>
73090000CDFH330108199000000619901228<NA>3폐업3폐업19970827<NA><NA><NA><NA><NA>132822서울특별시 도봉구 도봉동 631-23번지<NA><NA>참피온2003-02-06 15:08:39I2018-08-31 23:59:59.0<NA>204145.937404463635.636012당구장업사립<NA>000.0<NA><NA><NA>
83090000CDFH330108199100000319911228<NA>3폐업3폐업19990823<NA><NA><NA><NA><NA>132815서울특별시 도봉구 도봉동 575-7번지 지하서울특별시 도봉구 도봉로181길 41 (도봉동,지하)<NA>에스비에스2003-02-06 15:08:39I2018-08-31 23:59:59.0<NA>203763.645225464658.738297당구장업사립<NA>000.0<NA><NA><NA>
93090000CDFH330108199200000219920618<NA>3폐업3폐업19971006<NA><NA><NA><NA><NA>132928서울특별시 도봉구 창동 746번지서울특별시 도봉구 도봉로 642 (창동)<NA>신세계2003-02-06 15:08:39I2018-08-31 23:59:59.0<NA>203684.284489462138.466304당구장업사립<NA>000.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
3143090000CDFH330108202100000320211125<NA>3폐업3폐업20221207<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 135-11서울특별시 도봉구 노해로63다길 18, 지층 (창동)0139988당구장2022-12-08 11:26:44U2021-11-01 23:00:00.0<NA>204027.588075461256.477159<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3153090000CDFH33010820220000012022-03-31<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 443-6서울특별시 도봉구 덕릉로 272, 지하1층 (창동)01487도봉가브리엘2023-10-31 09:26:11U2022-11-01 00:02:00.0<NA>203553.135407459890.855841<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3163090000CDFH33010820220000022022-05-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 방학동 657-12서울특별시 도봉구 도당로 133, 4층 (방학동)01351매니아 캐롬 클럽2023-10-31 09:26:47U2022-11-01 00:02:00.0<NA>203558.847497462789.017639<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3173090000CDFH33010820220000032022-11-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 방학동 672서울특별시 도봉구 방학로 143, 지하 1층층 (방학동)01389썬 당구장2023-10-31 09:31:18U2022-11-01 00:02:00.0<NA>203136.82864462239.390997<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3183090000CDFH33010820220000042022-11-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 도봉동 575-2서울특별시 도봉구 도봉로181길 57, 3층 (도봉동)01304쇼당 매니아2023-10-31 09:38:30U2022-11-01 00:02:00.0<NA>203701.224181464701.232532<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3193090000CDFH33010820220000052022-11-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 655-20 흥일빌딩서울특별시 도봉구 도봉로 468, 흥일빌딩 지층 101호 (창동)01455BARO캐롬클럽2023-10-31 09:38:59U2022-11-01 00:02:00.0<NA>202966.783705460551.406386<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3203090000CDFH33010820230000012023-01-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 581-76서울특별시 도봉구 덕릉로 239, 창선상가 3층 (창동)01470캐롬당구장2024-01-29 08:14:35U2023-11-30 21:01:00.0<NA>203306.984665459651.160108<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3213090000CDFH33010820230000022023-11-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-905-0999<NA><NA>서울특별시 도봉구 창동 14-4서울특별시 도봉구 마들로11길 25, 동산빌딩 지하1층 (창동)01415PBC 캐롬클럽 창동점2023-11-23 11:17:05I2022-10-31 22:05:00.0<NA>204502.118604461278.39108<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3223090000CDFH33010820240000012024-02-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 방학동 703-65서울특별시 도봉구 도봉로 675, 2층 (방학동)013403&4 당구클럽2024-02-13 09:11:30I2023-12-01 23:05:00.0<NA>203667.956662462483.140794<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3233090000CDFH33010820240000022024-04-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 256-2서울특별시 도봉구 노해로63다길 21, 지하1층 (창동)01399명동당구장2024-04-25 09:05:49I2023-12-03 22:07:00.0<NA>203999.995387461267.707968<NA><NA><NA><NA><NA><NA><NA><NA><NA>