Overview

Dataset statistics

Number of variables34
Number of observations659
Missing cells5900
Missing cells (%)26.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory187.4 KiB
Average record size in memory291.2 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
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-19648/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (93.6%)Imbalance
문화체육업종명 is highly imbalanced (68.2%)Imbalance
공사립구분명 is highly imbalanced (78.9%)Imbalance
회원모집총인원 is highly imbalanced (87.8%)Imbalance
폐업일자 has 208 (31.6%) missing valuesMissing
휴업시작일자 has 659 (100.0%) missing valuesMissing
휴업종료일자 has 659 (100.0%) missing valuesMissing
재개업일자 has 659 (100.0%) missing valuesMissing
전화번호 has 121 (18.4%) missing valuesMissing
소재지면적 has 659 (100.0%) missing valuesMissing
소재지우편번호 has 57 (8.6%) missing valuesMissing
도로명주소 has 20 (3.0%) missing valuesMissing
도로명우편번호 has 555 (84.2%) missing valuesMissing
업태구분명 has 659 (100.0%) missing valuesMissing
좌표정보(X) has 17 (2.6%) missing valuesMissing
좌표정보(Y) has 17 (2.6%) missing valuesMissing
건축물연면적 has 286 (43.4%) missing valuesMissing
세부업종명 has 659 (100.0%) missing valuesMissing
법인명 has 659 (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 267 (40.5%) zerosZeros

Reproduction

Analysis started2024-05-11 05:01:34.038079
Analysis finished2024-05-11 05:01:36.123455
Duration2.09 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
3210000
659 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3210000
2nd row3210000
3rd row3210000
4th row3210000
5th row3210000

Common Values

ValueCountFrequency (%)
3210000 659
100.0%

Length

2024-05-11T05:01:36.366170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:01:36.716034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 659
100.0%

관리번호
Text

UNIQUE 

Distinct659
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-05-11T05:01:37.434143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters13180
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

Unique659 ?
Unique (%)100.0%

Sample

1st rowCDFH3301081980000001
2nd rowCDFH3301081982000001
3rd rowCDFH3301081984000001
4th rowCDFH3301081984000002
5th rowCDFH3301081984000003
ValueCountFrequency (%)
cdfh3301081980000001 1
 
0.2%
cdfh3301082005000004 1
 
0.2%
cdfh3301082005000015 1
 
0.2%
cdfh3301082005000008 1
 
0.2%
cdfh3301082005000009 1
 
0.2%
cdfh3301082005000010 1
 
0.2%
cdfh3301082005000011 1
 
0.2%
cdfh3301082005000012 1
 
0.2%
cdfh3301082005000013 1
 
0.2%
cdfh3301082005000014 1
 
0.2%
Other values (649) 649
98.5%
2024-05-11T05:01:38.461413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5015
38.1%
3 1549
 
11.8%
1 1298
 
9.8%
8 842
 
6.4%
C 659
 
5.0%
D 659
 
5.0%
F 659
 
5.0%
H 659
 
5.0%
2 653
 
5.0%
9 643
 
4.9%
Other values (4) 544
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10544
80.0%
Uppercase Letter 2636
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5015
47.6%
3 1549
 
14.7%
1 1298
 
12.3%
8 842
 
8.0%
2 653
 
6.2%
9 643
 
6.1%
4 166
 
1.6%
6 131
 
1.2%
5 129
 
1.2%
7 118
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 659
25.0%
D 659
25.0%
F 659
25.0%
H 659
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10544
80.0%
Latin 2636
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5015
47.6%
3 1549
 
14.7%
1 1298
 
12.3%
8 842
 
8.0%
2 653
 
6.2%
9 643
 
6.1%
4 166
 
1.6%
6 131
 
1.2%
5 129
 
1.2%
7 118
 
1.1%
Latin
ValueCountFrequency (%)
C 659
25.0%
D 659
25.0%
F 659
25.0%
H 659
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13180
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5015
38.1%
3 1549
 
11.8%
1 1298
 
9.8%
8 842
 
6.4%
C 659
 
5.0%
D 659
 
5.0%
F 659
 
5.0%
H 659
 
5.0%
2 653
 
5.0%
9 643
 
4.9%
Other values (4) 544
 
4.1%

인허가일자
Date

Distinct600
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
Minimum1980-05-08 00:00:00
Maximum2024-02-15 00:00:00
2024-05-11T05:01:38.878911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:01:39.307380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
<NA>
649 
19991202
 
8
19990820
 
1
20000108
 
1

Length

Max length8
Median length4
Mean length4.060698
Min length4

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 649
98.5%
19991202 8
 
1.2%
19990820 1
 
0.2%
20000108 1
 
0.2%

Length

2024-05-11T05:01:39.793773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:01:40.167812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 649
98.5%
19991202 8
 
1.2%
19990820 1
 
0.2%
20000108 1
 
0.2%

영업상태코드
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
3
450 
1
198 
4
 
11

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 (%)
3 450
68.3%
1 198
30.0%
4 11
 
1.7%

Length

2024-05-11T05:01:40.490584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:01:40.805876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 450
68.3%
1 198
30.0%
4 11
 
1.7%

영업상태명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
폐업
450 
영업/정상
198 
취소/말소/만료/정지/중지
 
11

Length

Max length14
Median length2
Mean length3.1016692
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 450
68.3%
영업/정상 198
30.0%
취소/말소/만료/정지/중지 11
 
1.7%

Length

2024-05-11T05:01:41.176443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:01:41.633291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 450
68.3%
영업/정상 198
30.0%
취소/말소/만료/정지/중지 11
 
1.7%

상세영업상태코드
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
3
450 
13
198 
32
 
10
35
 
1

Length

Max length2
Median length1
Mean length1.3171472
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
3 450
68.3%
13 198
30.0%
32 10
 
1.5%
35 1
 
0.2%

Length

2024-05-11T05:01:41.954749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:01:42.259698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 450
68.3%
13 198
30.0%
32 10
 
1.5%
35 1
 
0.2%

상세영업상태명
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
폐업
450 
영업중
198 
신고취소
 
10
직권말소
 
1

Length

Max length4
Median length2
Mean length2.3338392
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 450
68.3%
영업중 198
30.0%
신고취소 10
 
1.5%
직권말소 1
 
0.2%

Length

2024-05-11T05:01:42.653154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:01:42.974840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 450
68.3%
영업중 198
30.0%
신고취소 10
 
1.5%
직권말소 1
 
0.2%

폐업일자
Date

MISSING 

Distinct373
Distinct (%)82.7%
Missing208
Missing (%)31.6%
Memory size5.3 KiB
Minimum1996-07-01 00:00:00
Maximum2024-03-08 00:00:00
2024-05-11T05:01:43.258243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:01:43.639562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing659
Missing (%)100.0%
Memory size5.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing659
Missing (%)100.0%
Memory size5.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing659
Missing (%)100.0%
Memory size5.9 KiB

전화번호
Text

MISSING 

Distinct513
Distinct (%)95.4%
Missing121
Missing (%)18.4%
Memory size5.3 KiB
2024-05-11T05:01:44.362363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length8
Mean length8.3810409
Min length1

Characters and Unicode

Total characters4509
Distinct characters14
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

Unique492 ?
Unique (%)91.4%

Sample

1st row817-5378
2nd row3481-4367
3rd row542-2848
4th row553-7176
5th row553-9745
ValueCountFrequency (%)
4
 
0.7%
542-8913 3
 
0.6%
586-7841 3
 
0.6%
547-1284 2
 
0.4%
532-5254 2
 
0.4%
544-6822 2
 
0.4%
585-2928 2
 
0.4%
593-8030 2
 
0.4%
070-8952-7269 2
 
0.4%
576-1049 2
 
0.4%
Other values (503) 514
95.5%
2024-05-11T05:01:45.731399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 705
15.6%
- 559
12.4%
3 420
9.3%
7 406
9.0%
4 397
8.8%
8 393
8.7%
2 390
8.6%
9 353
7.8%
0 306
6.8%
1 305
6.8%
Other values (4) 275
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3937
87.3%
Dash Punctuation 559
 
12.4%
Close Punctuation 8
 
0.2%
Other Punctuation 5
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 705
17.9%
3 420
10.7%
7 406
10.3%
4 397
10.1%
8 393
10.0%
2 390
9.9%
9 353
9.0%
0 306
7.8%
1 305
7.7%
6 262
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 4
80.0%
, 1
 
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 559
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4509
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 705
15.6%
- 559
12.4%
3 420
9.3%
7 406
9.0%
4 397
8.8%
8 393
8.7%
2 390
8.6%
9 353
7.8%
0 306
6.8%
1 305
6.8%
Other values (4) 275
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4509
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 705
15.6%
- 559
12.4%
3 420
9.3%
7 406
9.0%
4 397
8.8%
8 393
8.7%
2 390
8.6%
9 353
7.8%
0 306
6.8%
1 305
6.8%
Other values (4) 275
 
6.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing659
Missing (%)100.0%
Memory size5.9 KiB

소재지우편번호
Text

MISSING 

Distinct111
Distinct (%)18.4%
Missing57
Missing (%)8.6%
Memory size5.3 KiB
2024-05-11T05:01:46.321382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0166113
Min length6

Characters and Unicode

Total characters3622
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

Unique24 ?
Unique (%)4.0%

Sample

1st row137842
2nd row137856
3rd row137902
4th row137856
5th row137855
ValueCountFrequency (%)
137895 23
 
3.8%
137856 19
 
3.2%
137810 17
 
2.8%
137829 17
 
2.8%
137887 16
 
2.7%
137860 15
 
2.5%
137875 14
 
2.3%
137858 14
 
2.3%
137842 13
 
2.2%
137828 13
 
2.2%
Other values (101) 441
73.3%
2024-05-11T05:01:47.506444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 739
20.4%
3 718
19.8%
1 689
19.0%
8 664
18.3%
9 186
 
5.1%
0 170
 
4.7%
5 149
 
4.1%
6 111
 
3.1%
2 98
 
2.7%
4 88
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3612
99.7%
Dash Punctuation 10
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 739
20.5%
3 718
19.9%
1 689
19.1%
8 664
18.4%
9 186
 
5.1%
0 170
 
4.7%
5 149
 
4.1%
6 111
 
3.1%
2 98
 
2.7%
4 88
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3622
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 739
20.4%
3 718
19.8%
1 689
19.0%
8 664
18.3%
9 186
 
5.1%
0 170
 
4.7%
5 149
 
4.1%
6 111
 
3.1%
2 98
 
2.7%
4 88
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3622
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 739
20.4%
3 718
19.8%
1 689
19.0%
8 664
18.3%
9 186
 
5.1%
0 170
 
4.7%
5 149
 
4.1%
6 111
 
3.1%
2 98
 
2.7%
4 88
 
2.4%

지번주소
Text

Distinct635
Distinct (%)97.2%
Missing6
Missing (%)0.9%
Memory size5.3 KiB
2024-05-11T05:01:48.257449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length42
Mean length25.346095
Min length14

Characters and Unicode

Total characters16551
Distinct characters141
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

Unique618 ?
Unique (%)94.6%

Sample

1st row서울특별시 서초구 방배동 908-6번지
2nd row서울특별시 서초구 서초동 1307-23번지 2층
3rd row서울특별시 서초구 잠원동 12-9번지
4th row서울특별시 서초구 서초동 1317-5번지
5th row서울특별시 서초구 서초동 1304-4번지
ValueCountFrequency (%)
서울특별시 653
21.6%
서초구 653
21.6%
서초동 250
 
8.3%
방배동 155
 
5.1%
양재동 136
 
4.5%
지하1층 99
 
3.3%
반포동 63
 
2.1%
지1층 45
 
1.5%
잠원동 44
 
1.5%
3층 38
 
1.3%
Other values (694) 894
29.5%
2024-05-11T05:01:49.483823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2989
18.1%
서 1561
 
9.4%
초 904
 
5.5%
1 890
 
5.4%
지 769
 
4.6%
동 670
 
4.0%
시 655
 
4.0%
울 655
 
4.0%
특 653
 
3.9%
별 653
 
3.9%
Other values (131) 6152
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9281
56.1%
Decimal Number 3380
 
20.4%
Space Separator 2989
 
18.1%
Dash Punctuation 621
 
3.8%
Open Punctuation 117
 
0.7%
Close Punctuation 117
 
0.7%
Other Punctuation 32
 
0.2%
Uppercase Letter 13
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1561
16.8%
초 904
9.7%
지 769
8.3%
동 670
7.2%
시 655
7.1%
울 655
7.1%
특 653
7.0%
별 653
7.0%
구 653
7.0%
번 586
 
6.3%
Other values (107) 1522
16.4%
Decimal Number
ValueCountFrequency (%)
1 890
26.3%
3 401
11.9%
2 377
11.2%
5 285
 
8.4%
4 278
 
8.2%
7 272
 
8.0%
6 234
 
6.9%
8 225
 
6.7%
0 210
 
6.2%
9 208
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
B 5
38.5%
A 2
 
15.4%
I 2
 
15.4%
S 1
 
7.7%
T 1
 
7.7%
H 1
 
7.7%
R 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 29
90.6%
. 3
 
9.4%
Space Separator
ValueCountFrequency (%)
2989
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 621
100.0%
Open Punctuation
ValueCountFrequency (%)
( 117
100.0%
Close Punctuation
ValueCountFrequency (%)
) 117
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9281
56.1%
Common 7257
43.8%
Latin 13
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1561
16.8%
초 904
9.7%
지 769
8.3%
동 670
7.2%
시 655
7.1%
울 655
7.1%
특 653
7.0%
별 653
7.0%
구 653
7.0%
번 586
 
6.3%
Other values (107) 1522
16.4%
Common
ValueCountFrequency (%)
2989
41.2%
1 890
 
12.3%
- 621
 
8.6%
3 401
 
5.5%
2 377
 
5.2%
5 285
 
3.9%
4 278
 
3.8%
7 272
 
3.7%
6 234
 
3.2%
8 225
 
3.1%
Other values (7) 685
 
9.4%
Latin
ValueCountFrequency (%)
B 5
38.5%
A 2
 
15.4%
I 2
 
15.4%
S 1
 
7.7%
T 1
 
7.7%
H 1
 
7.7%
R 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9281
56.1%
ASCII 7270
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2989
41.1%
1 890
 
12.2%
- 621
 
8.5%
3 401
 
5.5%
2 377
 
5.2%
5 285
 
3.9%
4 278
 
3.8%
7 272
 
3.7%
6 234
 
3.2%
8 225
 
3.1%
Other values (14) 698
 
9.6%
Hangul
ValueCountFrequency (%)
서 1561
16.8%
초 904
9.7%
지 769
8.3%
동 670
7.2%
시 655
7.1%
울 655
7.1%
특 653
7.0%
별 653
7.0%
구 653
7.0%
번 586
 
6.3%
Other values (107) 1522
16.4%

도로명주소
Text

MISSING 

Distinct627
Distinct (%)98.1%
Missing20
Missing (%)3.0%
Memory size5.3 KiB
2024-05-11T05:01:50.119620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length45
Mean length29.381847
Min length22

Characters and Unicode

Total characters18775
Distinct characters177
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique616 ?
Unique (%)96.4%

Sample

1st row서울특별시 서초구 방배로 92 (방배동)
2nd row서울특별시 서초구 서초대로77길 19 (서초동,2층)
3rd row서울특별시 서초구 강남대로101길 28 (잠원동)
4th row서울특별시 서초구 서초대로77길 15 (서초동)
5th row서울특별시 서초구 서초대로77길 48 (서초동)
ValueCountFrequency (%)
서울특별시 639
 
18.7%
서초구 639
 
18.7%
서초동 144
 
4.2%
방배동 98
 
2.9%
양재동 80
 
2.3%
효령로 33
 
1.0%
방배로 33
 
1.0%
서초대로 32
 
0.9%
지하1층 31
 
0.9%
반포동 30
 
0.9%
Other values (646) 1650
48.4%
2024-05-11T05:01:51.264792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3258
17.4%
서 1671
 
8.9%
초 1012
 
5.4%
( 748
 
4.0%
) 748
 
4.0%
동 694
 
3.7%
시 641
 
3.4%
울 641
 
3.4%
구 640
 
3.4%
별 639
 
3.4%
Other values (167) 8083
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10881
58.0%
Space Separator 3258
 
17.4%
Decimal Number 2660
 
14.2%
Open Punctuation 748
 
4.0%
Close Punctuation 748
 
4.0%
Other Punctuation 393
 
2.1%
Dash Punctuation 63
 
0.3%
Uppercase Letter 16
 
0.1%
Lowercase Letter 5
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1671
15.4%
초 1012
 
9.3%
동 694
 
6.4%
시 641
 
5.9%
울 641
 
5.9%
구 640
 
5.9%
별 639
 
5.9%
특 639
 
5.9%
로 628
 
5.8%
길 344
 
3.2%
Other values (142) 3332
30.6%
Decimal Number
ValueCountFrequency (%)
1 613
23.0%
2 411
15.5%
3 350
13.2%
4 230
 
8.6%
5 216
 
8.1%
7 186
 
7.0%
0 181
 
6.8%
9 162
 
6.1%
6 160
 
6.0%
8 151
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
B 9
56.2%
A 2
 
12.5%
I 2
 
12.5%
T 1
 
6.2%
S 1
 
6.2%
R 1
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
b 3
60.0%
k 1
 
20.0%
i 1
 
20.0%
Space Separator
ValueCountFrequency (%)
3258
100.0%
Open Punctuation
ValueCountFrequency (%)
( 748
100.0%
Close Punctuation
ValueCountFrequency (%)
) 748
100.0%
Other Punctuation
ValueCountFrequency (%)
, 393
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10881
58.0%
Common 7873
41.9%
Latin 21
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1671
15.4%
초 1012
 
9.3%
동 694
 
6.4%
시 641
 
5.9%
울 641
 
5.9%
구 640
 
5.9%
별 639
 
5.9%
특 639
 
5.9%
로 628
 
5.8%
길 344
 
3.2%
Other values (142) 3332
30.6%
Common
ValueCountFrequency (%)
3258
41.4%
( 748
 
9.5%
) 748
 
9.5%
1 613
 
7.8%
2 411
 
5.2%
, 393
 
5.0%
3 350
 
4.4%
4 230
 
2.9%
5 216
 
2.7%
7 186
 
2.4%
Other values (6) 720
 
9.1%
Latin
ValueCountFrequency (%)
B 9
42.9%
b 3
 
14.3%
A 2
 
9.5%
I 2
 
9.5%
T 1
 
4.8%
S 1
 
4.8%
R 1
 
4.8%
k 1
 
4.8%
i 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10881
58.0%
ASCII 7894
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3258
41.3%
( 748
 
9.5%
) 748
 
9.5%
1 613
 
7.8%
2 411
 
5.2%
, 393
 
5.0%
3 350
 
4.4%
4 230
 
2.9%
5 216
 
2.7%
7 186
 
2.4%
Other values (15) 741
 
9.4%
Hangul
ValueCountFrequency (%)
서 1671
15.4%
초 1012
 
9.3%
동 694
 
6.4%
시 641
 
5.9%
울 641
 
5.9%
구 640
 
5.9%
별 639
 
5.9%
특 639
 
5.9%
로 628
 
5.8%
길 344
 
3.2%
Other values (142) 3332
30.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct74
Distinct (%)71.2%
Missing555
Missing (%)84.2%
Infinite0
Infinite (%)0.0%
Mean24326.077
Minimum6502
Maximum137953
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-05-11T05:01:51.720158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6502
5-th percentile6531.6
Q16611.75
median6686
Q36749.25
95-th percentile137877.1
Maximum137953
Range131451
Interquartile range (IQR)137.5

Descriptive statistics

Standard deviation44998.462
Coefficient of variation (CV)1.8498035
Kurtosis2.7727687
Mean24326.077
Median Absolute Deviation (MAD)73
Skewness2.1725066
Sum2529912
Variance2.0248616 × 109
MonotonicityNot monotonic
2024-05-11T05:01:52.361251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6596 4
 
0.6%
6654 3
 
0.5%
6650 3
 
0.5%
6686 3
 
0.5%
6744 3
 
0.5%
6737 3
 
0.5%
6526 3
 
0.5%
6633 3
 
0.5%
6787 3
 
0.5%
6692 2
 
0.3%
Other values (64) 74
 
11.2%
(Missing) 555
84.2%
ValueCountFrequency (%)
6502 1
 
0.2%
6526 3
0.5%
6530 1
 
0.2%
6531 1
 
0.2%
6535 1
 
0.2%
6552 1
 
0.2%
6553 2
0.3%
6556 1
 
0.2%
6562 2
0.3%
6568 1
 
0.2%
ValueCountFrequency (%)
137953 1
0.2%
137903 1
0.2%
137897 1
0.2%
137890 1
0.2%
137888 1
0.2%
137878 1
0.2%
137872 1
0.2%
137866 1
0.2%
137860 1
0.2%
137856 1
0.2%

사업장명
Text

Distinct513
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-05-11T05:01:52.986641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length17
Mean length3.7951442
Min length1

Characters and Unicode

Total characters2501
Distinct characters365
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

Unique423 ?
Unique (%)64.2%

Sample

1st row피일드당구장
2nd row보성
3rd row강
4th row덕성
5th row킹
ValueCountFrequency (%)
당구클럽 17
 
2.4%
당구장 16
 
2.2%
프로 9
 
1.3%
로얄 7
 
1.0%
현대 6
 
0.8%
킹 6
 
0.8%
그린 5
 
0.7%
태양 5
 
0.7%
스포츠 5
 
0.7%
영 5
 
0.7%
Other values (517) 634
88.7%
2024-05-11T05:01:54.212443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 211
 
8.4%
당 210
 
8.4%
장 123
 
4.9%
럽 87
 
3.5%
클 84
 
3.4%
스 64
 
2.6%
리 57
 
2.3%
56
 
2.2%
아 45
 
1.8%
이 39
 
1.6%
Other values (355) 1525
61.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2202
88.0%
Uppercase Letter 129
 
5.2%
Decimal Number 73
 
2.9%
Space Separator 56
 
2.2%
Lowercase Letter 19
 
0.8%
Other Punctuation 12
 
0.5%
Open Punctuation 5
 
0.2%
Close Punctuation 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 211
 
9.6%
당 210
 
9.5%
장 123
 
5.6%
럽 87
 
4.0%
클 84
 
3.8%
스 64
 
2.9%
리 57
 
2.6%
아 45
 
2.0%
이 39
 
1.8%
드 39
 
1.8%
Other values (307) 1243
56.4%
Uppercase Letter
ValueCountFrequency (%)
B 25
19.4%
S 18
14.0%
A 13
10.1%
M 7
 
5.4%
I 7
 
5.4%
J 7
 
5.4%
C 7
 
5.4%
L 7
 
5.4%
K 6
 
4.7%
E 5
 
3.9%
Other values (11) 27
20.9%
Lowercase Letter
ValueCountFrequency (%)
o 3
15.8%
c 2
10.5%
e 2
10.5%
i 2
10.5%
l 2
10.5%
r 2
10.5%
a 1
 
5.3%
d 1
 
5.3%
y 1
 
5.3%
t 1
 
5.3%
Other values (2) 2
10.5%
Decimal Number
ValueCountFrequency (%)
2 22
30.1%
1 13
17.8%
4 12
16.4%
5 10
13.7%
3 8
 
11.0%
6 3
 
4.1%
8 2
 
2.7%
7 2
 
2.7%
9 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
. 9
75.0%
? 2
 
16.7%
& 1
 
8.3%
Space Separator
ValueCountFrequency (%)
56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2202
88.0%
Common 151
 
6.0%
Latin 148
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 211
 
9.6%
당 210
 
9.5%
장 123
 
5.6%
럽 87
 
4.0%
클 84
 
3.8%
스 64
 
2.9%
리 57
 
2.6%
아 45
 
2.0%
이 39
 
1.8%
드 39
 
1.8%
Other values (307) 1243
56.4%
Latin
ValueCountFrequency (%)
B 25
16.9%
S 18
 
12.2%
A 13
 
8.8%
M 7
 
4.7%
I 7
 
4.7%
J 7
 
4.7%
C 7
 
4.7%
L 7
 
4.7%
K 6
 
4.1%
E 5
 
3.4%
Other values (23) 46
31.1%
Common
ValueCountFrequency (%)
56
37.1%
2 22
 
14.6%
1 13
 
8.6%
4 12
 
7.9%
5 10
 
6.6%
. 9
 
6.0%
3 8
 
5.3%
( 5
 
3.3%
) 5
 
3.3%
6 3
 
2.0%
Other values (5) 8
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2202
88.0%
ASCII 299
 
12.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 211
 
9.6%
당 210
 
9.5%
장 123
 
5.6%
럽 87
 
4.0%
클 84
 
3.8%
스 64
 
2.9%
리 57
 
2.6%
아 45
 
2.0%
이 39
 
1.8%
드 39
 
1.8%
Other values (307) 1243
56.4%
ASCII
ValueCountFrequency (%)
56
18.7%
B 25
 
8.4%
2 22
 
7.4%
S 18
 
6.0%
1 13
 
4.3%
A 13
 
4.3%
4 12
 
4.0%
5 10
 
3.3%
. 9
 
3.0%
3 8
 
2.7%
Other values (38) 113
37.8%

최종수정일자
Date

Distinct444
Distinct (%)67.4%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
Minimum2003-04-18 11:31:26
Maximum2024-04-26 09:12:34
2024-05-11T05:01:54.643867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:01:55.093890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
I
578 
U
81 

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 578
87.7%
U 81
 
12.3%

Length

2024-05-11T05:01:55.572866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:01:56.171505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 578
87.7%
u 81
 
12.3%

데이터갱신일자
Date

Distinct97
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 22:08:00
2024-05-11T05:01:56.670742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:01:57.572788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing659
Missing (%)100.0%
Memory size5.9 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct511
Distinct (%)79.6%
Missing17
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean201296.96
Minimum198349.16
Maximum204291.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-05-11T05:01:58.160816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198349.16
5-th percentile198616.44
Q1199800.77
median201454.12
Q3202487.35
95-th percentile203753.53
Maximum204291.54
Range5942.3814
Interquartile range (IQR)2686.5875

Descriptive statistics

Standard deviation1639.9346
Coefficient of variation (CV)0.0081468425
Kurtosis-0.97028806
Mean201296.96
Median Absolute Deviation (MAD)1162.2462
Skewness-0.1831611
Sum1.2923265 × 108
Variance2689385.6
MonotonicityNot monotonic
2024-05-11T05:01:58.810393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200554.74395758 6
 
0.9%
202310.237266626 4
 
0.6%
201330.348733922 4
 
0.6%
200949.551476636 4
 
0.6%
199568.85656079 4
 
0.6%
203424.09272999 3
 
0.5%
200026.042318021 3
 
0.5%
204093.717314852 3
 
0.5%
198675.267764301 3
 
0.5%
203261.429804808 3
 
0.5%
Other values (501) 605
91.8%
(Missing) 17
 
2.6%
ValueCountFrequency (%)
198349.158592224 2
0.3%
198356.006840205 1
0.2%
198363.310969458 1
0.2%
198364.994691704 1
0.2%
198381.147316283 1
0.2%
198396.69172263 1
0.2%
198397.235721331 1
0.2%
198398.919656417 1
0.2%
198409.554742612 1
0.2%
198409.59135773 1
0.2%
ValueCountFrequency (%)
204291.540018683 1
 
0.2%
204213.62616957 1
 
0.2%
204169.980392349 2
0.3%
204143.536776142 2
0.3%
204093.717314852 3
0.5%
204062.758168398 1
 
0.2%
204029.026340112 1
 
0.2%
203986.888501897 1
 
0.2%
203964.660740966 1
 
0.2%
203963.23 1
 
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct511
Distinct (%)79.6%
Missing17
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean443033.92
Minimum439960.53
Maximum446166.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-05-11T05:01:59.702415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439960.53
5-th percentile440830.55
Q1442273.01
median442910.84
Q3443687.9
95-th percentile445358.92
Maximum446166.39
Range6205.8606
Interquartile range (IQR)1414.8851

Descriptive statistics

Standard deviation1269.5317
Coefficient of variation (CV)0.0028655407
Kurtosis-0.099916077
Mean443033.92
Median Absolute Deviation (MAD)685.18894
Skewness0.2414215
Sum2.8442778 × 108
Variance1611710.8
MonotonicityNot monotonic
2024-05-11T05:02:00.265480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444811.364826199 6
 
0.9%
442849.568744266 4
 
0.6%
442549.663585693 4
 
0.6%
443483.146383375 4
 
0.6%
442373.028355386 4
 
0.6%
441845.954946828 3
 
0.5%
444882.738380211 3
 
0.5%
441410.771157408 3
 
0.5%
443752.712313929 3
 
0.5%
441594.881682328 3
 
0.5%
Other values (501) 605
91.8%
(Missing) 17
 
2.6%
ValueCountFrequency (%)
439960.533113874 1
0.2%
440028.495682196 2
0.3%
440113.466638633 1
0.2%
440125.988508969 1
0.2%
440136.781183797 1
0.2%
440206.847574568 1
0.2%
440281.405998565 1
0.2%
440360.0 1
0.2%
440469.875822369 2
0.3%
440500.057401857 1
0.2%
ValueCountFrequency (%)
446166.39371284 2
0.3%
446105.536208478 1
0.2%
446098.762055175 1
0.2%
446085.40011294 1
0.2%
446036.074660589 2
0.3%
446033.081812642 1
0.2%
446004.848735409 1
0.2%
445998.07382598 1
0.2%
445915.450701311 1
0.2%
445895.814757844 1
0.2%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
당구장업
621 
<NA>
 
38

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 621
94.2%
<NA> 38
 
5.8%

Length

2024-05-11T05:02:00.766266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:02:01.164563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 621
94.2%
na 38
 
5.8%

공사립구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
사립
620 
<NA>
 
38
공립
 
1

Length

Max length4
Median length2
Mean length2.1153263
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
사립 620
94.1%
<NA> 38
 
5.8%
공립 1
 
0.2%

Length

2024-05-11T05:02:01.694404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:02:02.123064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 620
94.1%
na 38
 
5.8%
공립 1
 
0.2%

보험가입여부코드
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
<NA>
565 
0
94 

Length

Max length4
Median length4
Mean length3.5720789
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> 565
85.7%
0 94
 
14.3%

Length

2024-05-11T05:02:02.589461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:02:03.029301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 565
85.7%
0 94
 
14.3%

지도자수
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
<NA>
436 
0
222 
1
 
1

Length

Max length4
Median length4
Mean length2.9848255
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 436
66.2%
0 222
33.7%
1 1
 
0.2%

Length

2024-05-11T05:02:03.490718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:02:03.855759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 436
66.2%
0 222
33.7%
1 1
 
0.2%

건축물동수
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
<NA>
298 
0
269 
1
92 

Length

Max length4
Median length1
Mean length2.3566009
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 298
45.2%
0 269
40.8%
1 92
 
14.0%

Length

2024-05-11T05:02:04.379720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:02:04.794911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 298
45.2%
0 269
40.8%
1 92
 
14.0%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct106
Distinct (%)28.4%
Missing286
Missing (%)43.4%
Infinite0
Infinite (%)0.0%
Mean670.98303
Minimum0
Maximum49289.52
Zeros267
Zeros (%)40.5%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-05-11T05:02:05.175652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3598.98
95-th percentile2283.87
Maximum49289.52
Range49289.52
Interquartile range (IQR)598.98

Descriptive statistics

Standard deviation3063.3526
Coefficient of variation (CV)4.5654696
Kurtosis180.9243
Mean670.98303
Median Absolute Deviation (MAD)0
Skewness12.333298
Sum250276.67
Variance9384129.2
MonotonicityNot monotonic
2024-05-11T05:02:05.747937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 267
40.5%
1987.96 2
 
0.3%
237.3 1
 
0.2%
1092.66 1
 
0.2%
1031.46 1
 
0.2%
6595.65 1
 
0.2%
718.72 1
 
0.2%
5229.48 1
 
0.2%
998.8 1
 
0.2%
1308.73 1
 
0.2%
Other values (96) 96
 
14.6%
(Missing) 286
43.4%
ValueCountFrequency (%)
0.0 267
40.5%
216.3 1
 
0.2%
237.3 1
 
0.2%
278.24 1
 
0.2%
300.63 1
 
0.2%
387.6 1
 
0.2%
410.08 1
 
0.2%
489.6 1
 
0.2%
501.56 1
 
0.2%
554.5 1
 
0.2%
ValueCountFrequency (%)
49289.52 1
0.2%
24442.99 1
0.2%
10658.51 1
0.2%
9377.37 1
0.2%
7759.07 1
0.2%
7245.39 1
0.2%
6595.65 1
0.2%
5229.48 1
0.2%
5139.96 1
0.2%
4842.36 1
0.2%

회원모집총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
<NA>
648 
0
 
11

Length

Max length4
Median length4
Mean length3.9499241
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> 648
98.3%
0 11
 
1.7%

Length

2024-05-11T05:02:06.377373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:02:06.860884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 648
98.3%
0 11
 
1.7%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing659
Missing (%)100.0%
Memory size5.9 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing659
Missing (%)100.0%
Memory size5.9 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03210000CDFH330108198000000119800508<NA>3폐업3폐업19980424<NA><NA><NA>817-5378<NA>137842서울특별시 서초구 방배동 908-6번지서울특별시 서초구 방배로 92 (방배동)<NA>피일드당구장2003-04-18 11:31:26I2018-08-31 23:59:59.0<NA>199683.180587442273.014591당구장업사립<NA>000.0<NA><NA><NA>
13210000CDFH330108198200000119821012<NA>3폐업3폐업20120608<NA><NA><NA>3481-4367<NA>137856서울특별시 서초구 서초동 1307-23번지 2층서울특별시 서초구 서초대로77길 19 (서초동,2층)<NA>보성2012-06-08 13:40:49I2018-08-31 23:59:59.0<NA>202214.708075444131.257351당구장업사립<NA><NA><NA><NA><NA><NA><NA>
23210000CDFH330108198400000119841102<NA>3폐업3폐업20020810<NA><NA><NA>542-2848<NA>137902서울특별시 서초구 잠원동 12-9번지서울특별시 서초구 강남대로101길 28 (잠원동)<NA>강2003-04-18 11:31:26I2018-08-31 23:59:59.0<NA>201540.229641446105.536208당구장업사립<NA>000.0<NA><NA><NA>
33210000CDFH330108198400000219841114<NA>3폐업3폐업20010118<NA><NA><NA>553-7176<NA>137856서울특별시 서초구 서초동 1317-5번지서울특별시 서초구 서초대로77길 15 (서초동)<NA>덕성2009-07-10 16:27:01I2018-08-31 23:59:59.0<NA>202247.843448444087.083837당구장업사립<NA><NA>00.0<NA><NA><NA>
43210000CDFH330108198400000319841123<NA>3폐업3폐업19990602<NA><NA><NA>553-9745<NA>137855서울특별시 서초구 서초동 1304-4번지서울특별시 서초구 서초대로77길 48 (서초동)<NA>킹2003-04-18 11:31:26I2018-08-31 23:59:59.0<NA>202147.044962444414.530564당구장업사립<NA>000.0<NA><NA><NA>
53210000CDFH330108198400000419841208<NA>3폐업3폐업19980305<NA><NA><NA>535-2088<NA>137713서울특별시 서초구 반포동 19-4번지서울특별시 서초구 신반포로 194 (반포동)<NA>서울2003-04-18 11:31:26I2018-08-31 23:59:59.0<NA>200554.743958444811.364826당구장업사립<NA>000.0<NA><NA><NA>
63210000CDFH330108198400000519841212<NA>3폐업3폐업19990423<NA><NA><NA>599-9446<NA>137832서울특별시 서초구 방배동 812-24번지서울특별시 서초구 방배로 199 (방배동)<NA>다모아2003-04-18 11:31:26I2018-08-31 23:59:59.0<NA>199147.479483443212.844822당구장업사립<NA>000.0<NA><NA><NA>
73210000CDFH330108198400000619841222<NA>3폐업3폐업19991104<NA><NA><NA>582-7012<NA>137820서울특별시 서초구 방배동 480-3번지서울특별시 서초구 효령로2길 25 (방배동)<NA>로얄2003-04-18 11:31:26I2018-08-31 23:59:59.0<NA>198846.470173441558.751746당구장업사립<NA>000.0<NA><NA><NA>
83210000CDFH330108198500000119850312<NA>3폐업3폐업19990105<NA><NA><NA>599-8098<NA>137839서울특별시 서초구 방배동 873-20번지서울특별시 서초구 서초대로23길 21 (방배동)<NA>팡팡2003-04-18 11:31:26I2018-08-31 23:59:59.0<NA>199231.978212442910.387298당구장업사립<NA>000.0<NA><NA><NA>
93210000CDFH330108198500000219850805<NA>3폐업3폐업19990501<NA><NA><NA>532-8462<NA>137811서울특별시 서초구 반포동 1053번지 H상가 216<NA><NA>아세아2014-04-16 10:45:19I2018-08-31 23:59:59.0<NA>198798.611236444320.555819당구장업사립<NA>000.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
6493210000CDFH330108202100000420210714<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 양재동 12-3 대진빌딩서울특별시 서초구 남부순환로350길 4, 대진빌딩 지층 (양재동)6736로타리당구장2021-07-14 15:50:08I2021-07-16 00:22:53.0<NA>203046.165527442456.827333당구장업사립<NA>000.00<NA><NA>
6503210000CDFH330108202100000520211206<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 방배동 3000-1 한신휴플러스서울특별시 서초구 동작대로 112, 지층 (방배동, 한신휴플러스)6568옵티머스당구장 이수2021-12-06 09:44:51I2021-12-08 00:22:43.0<NA>198409.554743442707.383663당구장업사립<NA>000.00<NA><NA>
6513210000CDFH330108202200000120220112<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7749-7520<NA><NA>서울특별시 서초구 서초동 1602-10서울특별시 서초구 효령로 289, 지하2층 (서초동)6654터미널당구장2022-01-12 10:14:48I2022-01-14 00:22:40.0<NA>201330.348734442549.663586당구장업사립<NA>000.00<NA><NA>
6523210000CDFH33010820230000012023-02-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 양재동 10-6서울특별시 서초구 강남대로34길 32, 지하1층 (양재동)6743동원당구장2023-02-23 11:09:17I2022-12-01 22:05:00.0<NA>203273.183308442354.649928<NA><NA><NA><NA><NA><NA><NA><NA><NA>
6533210000CDFH33010820230000022023-04-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 방배동 443-4서울특별시 서초구 방배천로 21, 지하1층 (방배동)6692세븐 당구장2023-04-18 17:43:04I2022-12-03 22:00:00.0<NA>198363.310969441808.384532<NA><NA><NA><NA><NA><NA><NA><NA><NA>
6543210000CDFH33010820230000032023-04-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1340 대명빌딩서울특별시 서초구 효령로 424, 대명빌딩 지하1층 B102호 (서초동)6729대명당구장2023-04-23 14:00:17I2022-12-03 22:05:00.0<NA>202607.848078442954.22895<NA><NA><NA><NA><NA><NA><NA><NA><NA>
6553210000CDFH33010820230000042023-07-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 방배동 755-5 오릭스오피스텔서울특별시 서초구 방배중앙로 198, 오릭스오피스텔 3층층 (방배동)6552롤링스톤 당구클럽2023-07-04 09:09:13I2022-12-07 00:06:00.0<NA>198660.616347443855.573402<NA><NA><NA><NA><NA><NA><NA><NA><NA>
6563210000CDFH33010820230000052023-08-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 양재동 215 하이브랜드서울특별시 서초구 매헌로 16, 하이브랜드 5층 5138~5141호 (양재동)67711983 당구레슨 스튜디오2023-08-02 11:43:24I2022-12-08 00:04:00.0<NA>203204.755637440136.781184<NA><NA><NA><NA><NA><NA><NA><NA><NA>
6573210000CDFH33010820230000062009-09-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 양재동 11-2 금정빌딩서울특별시 서초구 남부순환로 2606, 금정빌딩 B103호 (양재동)6737장교당구장2023-10-11 08:59:25I2022-10-30 23:03:00.0<NA>203088.380033442475.313387<NA><NA><NA><NA><NA><NA><NA><NA><NA>
6583210000CDFH33010820240000012024-02-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1589-7 현대전원오피스텔서울특별시 서초구 반포대로14길 36, 현대전원오피스텔 (서초동)6653볼모아 당구장2024-02-15 10:09:34I2023-12-01 23:07:00.0<NA>201082.733009442599.516095<NA><NA><NA><NA><NA><NA><NA><NA><NA>