Overview

Dataset statistics

Number of variables34
Number of observations155
Missing cells1467
Missing cells (%)27.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory44.0 KiB
Average record size in memory290.9 B

Variable types

Categorical14
Text6
DateTime3
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
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-19831/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
데이터갱신일자 is highly imbalanced (52.6%)Imbalance
보험가입여부코드 is highly imbalanced (50.1%)Imbalance
건축물동수 is highly imbalanced (53.6%)Imbalance
회원모집총인원 is highly imbalanced (87.8%)Imbalance
인허가취소일자 has 155 (100.0%) missing valuesMissing
폐업일자 has 98 (63.2%) missing valuesMissing
휴업시작일자 has 155 (100.0%) missing valuesMissing
휴업종료일자 has 155 (100.0%) missing valuesMissing
재개업일자 has 155 (100.0%) missing valuesMissing
전화번호 has 57 (36.8%) missing valuesMissing
소재지면적 has 155 (100.0%) missing valuesMissing
소재지우편번호 has 82 (52.9%) missing valuesMissing
도로명주소 has 4 (2.6%) missing valuesMissing
도로명우편번호 has 50 (32.3%) missing valuesMissing
건축물연면적 has 89 (57.4%) missing valuesMissing
세부업종명 has 155 (100.0%) missing valuesMissing
법인명 has 155 (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
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 27 (17.4%) zerosZeros

Reproduction

Analysis started2024-05-11 06:44:08.559052
Analysis finished2024-05-11 06:44:09.225392
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
3040000
155 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 155
100.0%

Length

2024-05-11T15:44:09.386200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:09.564377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 155
100.0%

관리번호
Text

UNIQUE 

Distinct155
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-05-11T15:44:09.784734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3100
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

Unique155 ?
Unique (%)100.0%

Sample

1st rowCDFH3301021989000001
2nd rowCDFH3301021989000002
3rd rowCDFH3301021989000003
4th rowCDFH3301021989000004
5th rowCDFH3301021989000005
ValueCountFrequency (%)
cdfh3301021989000001 1
 
0.6%
cdfh3301022011000002 1
 
0.6%
cdfh3301022014000001 1
 
0.6%
cdfh3301022009000002 1
 
0.6%
cdfh3301022010000001 1
 
0.6%
cdfh3301022010000002 1
 
0.6%
cdfh3301022010000003 1
 
0.6%
cdfh3301022010000004 1
 
0.6%
cdfh3301022011000001 1
 
0.6%
cdfh3301022011000004 1
 
0.6%
Other values (145) 145
93.5%
2024-05-11T15:44:10.219953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1235
39.8%
3 344
 
11.1%
1 316
 
10.2%
2 299
 
9.6%
C 155
 
5.0%
D 155
 
5.0%
F 155
 
5.0%
H 155
 
5.0%
9 131
 
4.2%
4 40
 
1.3%
Other values (4) 115
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2480
80.0%
Uppercase Letter 620
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1235
49.8%
3 344
 
13.9%
1 316
 
12.7%
2 299
 
12.1%
9 131
 
5.3%
4 40
 
1.6%
8 30
 
1.2%
5 30
 
1.2%
7 30
 
1.2%
6 25
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 155
25.0%
D 155
25.0%
F 155
25.0%
H 155
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2480
80.0%
Latin 620
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1235
49.8%
3 344
 
13.9%
1 316
 
12.7%
2 299
 
12.1%
9 131
 
5.3%
4 40
 
1.6%
8 30
 
1.2%
5 30
 
1.2%
7 30
 
1.2%
6 25
 
1.0%
Latin
ValueCountFrequency (%)
C 155
25.0%
D 155
25.0%
F 155
25.0%
H 155
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1235
39.8%
3 344
 
11.1%
1 316
 
10.2%
2 299
 
9.6%
C 155
 
5.0%
D 155
 
5.0%
F 155
 
5.0%
H 155
 
5.0%
9 131
 
4.2%
4 40
 
1.3%
Other values (4) 115
 
3.7%

인허가일자
Date

Distinct146
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum1989-09-28 00:00:00
Maximum2024-05-07 00:00:00
2024-05-11T15:44:10.441028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:44:10.666895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
1
98 
3
54 
4
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row4
4th row1
5th row3

Common Values

ValueCountFrequency (%)
1 98
63.2%
3 54
34.8%
4 3
 
1.9%

Length

2024-05-11T15:44:10.854840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:10.981362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 98
63.2%
3 54
34.8%
4 3
 
1.9%

영업상태명
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
영업/정상
98 
폐업
54 
취소/말소/만료/정지/중지
 
3

Length

Max length14
Median length5
Mean length4.1290323
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row취소/말소/만료/정지/중지
4th row영업/정상
5th row폐업

Common Values

ValueCountFrequency (%)
영업/정상 98
63.2%
폐업 54
34.8%
취소/말소/만료/정지/중지 3
 
1.9%

Length

2024-05-11T15:44:11.168315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:11.354903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 98
63.2%
폐업 54
34.8%
취소/말소/만료/정지/중지 3
 
1.9%

상세영업상태코드
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
13
98 
3
54 
35
 
3

Length

Max length2
Median length2
Mean length1.6516129
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row13
3rd row35
4th row13
5th row3

Common Values

ValueCountFrequency (%)
13 98
63.2%
3 54
34.8%
35 3
 
1.9%

Length

2024-05-11T15:44:11.617026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:11.840743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 98
63.2%
3 54
34.8%
35 3
 
1.9%

상세영업상태명
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
영업중
98 
폐업
54 
직권말소
 
3

Length

Max length4
Median length3
Mean length2.6709677
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 98
63.2%
폐업 54
34.8%
직권말소 3
 
1.9%

Length

2024-05-11T15:44:12.053618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:12.271133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 98
63.2%
폐업 54
34.8%
직권말소 3
 
1.9%

폐업일자
Date

MISSING 

Distinct53
Distinct (%)93.0%
Missing98
Missing (%)63.2%
Memory size1.3 KiB
Minimum1998-12-30 00:00:00
Maximum2024-03-11 00:00:00
2024-05-11T15:44:12.469561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:44:12.675313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

전화번호
Text

MISSING 

Distinct96
Distinct (%)98.0%
Missing57
Missing (%)36.8%
Memory size1.3 KiB
2024-05-11T15:44:13.132817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.6122449
Min length8

Characters and Unicode

Total characters942
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)95.9%

Sample

1st row464-5073
2nd row444-9399
3rd row452-2870
4th row464-8146
5th row452-7993
ValueCountFrequency (%)
464-8146 2
 
2.0%
02-466-5155 2
 
2.0%
02)498-9903 1
 
1.0%
457-4106 1
 
1.0%
2205-2228 1
 
1.0%
02-466-8212 1
 
1.0%
02-456-3733 1
 
1.0%
02-433-6735 1
 
1.0%
469-0631 1
 
1.0%
02)452-5506 1
 
1.0%
Other values (86) 86
87.8%
2024-05-11T15:44:14.260478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 153
16.2%
- 134
14.2%
2 106
11.3%
6 102
10.8%
5 96
10.2%
0 91
9.7%
3 62
6.6%
8 60
 
6.4%
7 51
 
5.4%
1 42
 
4.5%
Other values (2) 45
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 801
85.0%
Dash Punctuation 134
 
14.2%
Close Punctuation 7
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 153
19.1%
2 106
13.2%
6 102
12.7%
5 96
12.0%
0 91
11.4%
3 62
7.7%
8 60
 
7.5%
7 51
 
6.4%
1 42
 
5.2%
9 38
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 134
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 942
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 153
16.2%
- 134
14.2%
2 106
11.3%
6 102
10.8%
5 96
10.2%
0 91
9.7%
3 62
6.6%
8 60
 
6.4%
7 51
 
5.4%
1 42
 
4.5%
Other values (2) 45
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 942
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 153
16.2%
- 134
14.2%
2 106
11.3%
6 102
10.8%
5 96
10.2%
0 91
9.7%
3 62
6.6%
8 60
 
6.4%
7 51
 
5.4%
1 42
 
4.5%
Other values (2) 45
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

소재지우편번호
Text

MISSING 

Distinct47
Distinct (%)64.4%
Missing82
Missing (%)52.9%
Memory size1.3 KiB
2024-05-11T15:44:14.611627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0136986
Min length6

Characters and Unicode

Total characters439
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)41.1%

Sample

1st row143865
2nd row143819
3rd row143915
4th row143872
5th row143900
ValueCountFrequency (%)
143862 4
 
5.5%
143915 4
 
5.5%
143861 4
 
5.5%
143806 3
 
4.1%
143873 3
 
4.1%
143821 3
 
4.1%
143839 2
 
2.7%
143865 2
 
2.7%
143896 2
 
2.7%
143912 2
 
2.7%
Other values (37) 44
60.3%
2024-05-11T15:44:15.151865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 97
22.1%
4 85
19.4%
3 83
18.9%
8 60
13.7%
9 26
 
5.9%
6 24
 
5.5%
0 21
 
4.8%
2 20
 
4.6%
7 13
 
3.0%
5 9
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 438
99.8%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 97
22.1%
4 85
19.4%
3 83
18.9%
8 60
13.7%
9 26
 
5.9%
6 24
 
5.5%
0 21
 
4.8%
2 20
 
4.6%
7 13
 
3.0%
5 9
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 439
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 97
22.1%
4 85
19.4%
3 83
18.9%
8 60
13.7%
9 26
 
5.9%
6 24
 
5.5%
0 21
 
4.8%
2 20
 
4.6%
7 13
 
3.0%
5 9
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 439
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 97
22.1%
4 85
19.4%
3 83
18.9%
8 60
13.7%
9 26
 
5.9%
6 24
 
5.5%
0 21
 
4.8%
2 20
 
4.6%
7 13
 
3.0%
5 9
 
2.1%

지번주소
Text

Distinct151
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-05-11T15:44:15.609075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length40
Mean length25.135484
Min length14

Characters and Unicode

Total characters3896
Distinct characters92
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

Unique147 ?
Unique (%)94.8%

Sample

1st row서울특별시 광진구 자양동 9-5번지
2nd row서울특별시 광진구 자양동 642번지 현대5차(아) 상가동 3층(301호)
3rd row서울특별시 광진구 자양동 608-19번지 3층동
4th row서울특별시 광진구 구의동 236-25번지 B101호
5th row서울특별시 광진구 구의동 67-23번지
ValueCountFrequency (%)
서울특별시 155
20.9%
광진구 155
20.9%
자양동 48
 
6.5%
중곡동 38
 
5.1%
구의동 34
 
4.6%
2층 25
 
3.4%
3층 21
 
2.8%
화양동 13
 
1.8%
광장동 12
 
1.6%
군자동 9
 
1.2%
Other values (195) 232
31.3%
2024-05-11T15:44:16.369562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
702
18.0%
구 191
 
4.9%
광 168
 
4.3%
동 168
 
4.3%
서 155
 
4.0%
진 155
 
4.0%
울 155
 
4.0%
시 155
 
4.0%
별 155
 
4.0%
특 155
 
4.0%
Other values (82) 1737
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2218
56.9%
Decimal Number 803
 
20.6%
Space Separator 702
 
18.0%
Dash Punctuation 142
 
3.6%
Open Punctuation 11
 
0.3%
Close Punctuation 11
 
0.3%
Uppercase Letter 7
 
0.2%
Math Symbol 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 191
 
8.6%
광 168
 
7.6%
동 168
 
7.6%
서 155
 
7.0%
진 155
 
7.0%
울 155
 
7.0%
시 155
 
7.0%
별 155
 
7.0%
특 155
 
7.0%
지 130
 
5.9%
Other values (63) 631
28.4%
Decimal Number
ValueCountFrequency (%)
1 153
19.1%
2 137
17.1%
3 122
15.2%
5 82
10.2%
0 70
8.7%
6 69
8.6%
4 65
8.1%
8 41
 
5.1%
7 39
 
4.9%
9 25
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
B 5
71.4%
A 1
 
14.3%
D 1
 
14.3%
Space Separator
ValueCountFrequency (%)
702
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 142
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2218
56.9%
Common 1671
42.9%
Latin 7
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 191
 
8.6%
광 168
 
7.6%
동 168
 
7.6%
서 155
 
7.0%
진 155
 
7.0%
울 155
 
7.0%
시 155
 
7.0%
별 155
 
7.0%
특 155
 
7.0%
지 130
 
5.9%
Other values (63) 631
28.4%
Common
ValueCountFrequency (%)
702
42.0%
1 153
 
9.2%
- 142
 
8.5%
2 137
 
8.2%
3 122
 
7.3%
5 82
 
4.9%
0 70
 
4.2%
6 69
 
4.1%
4 65
 
3.9%
8 41
 
2.5%
Other values (6) 88
 
5.3%
Latin
ValueCountFrequency (%)
B 5
71.4%
A 1
 
14.3%
D 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2218
56.9%
ASCII 1678
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
702
41.8%
1 153
 
9.1%
- 142
 
8.5%
2 137
 
8.2%
3 122
 
7.3%
5 82
 
4.9%
0 70
 
4.2%
6 69
 
4.1%
4 65
 
3.9%
8 41
 
2.4%
Other values (9) 95
 
5.7%
Hangul
ValueCountFrequency (%)
구 191
 
8.6%
광 168
 
7.6%
동 168
 
7.6%
서 155
 
7.0%
진 155
 
7.0%
울 155
 
7.0%
시 155
 
7.0%
별 155
 
7.0%
특 155
 
7.0%
지 130
 
5.9%
Other values (63) 631
28.4%

도로명주소
Text

MISSING 

Distinct148
Distinct (%)98.0%
Missing4
Missing (%)2.6%
Memory size1.3 KiB
2024-05-11T15:44:16.843065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length47
Mean length29.218543
Min length23

Characters and Unicode

Total characters4412
Distinct characters124
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

Unique145 ?
Unique (%)96.0%

Sample

1st row서울특별시 광진구 아차산로30길 42 (자양동)
2nd row서울특별시 광진구 뚝섬로54길 74 (자양동, 자양5차현대아파트)
3rd row서울특별시 광진구 뚝섬로 596, 3층동 (자양동)
4th row서울특별시 광진구 자양로 172, 지층 101호 (구의동, 솔렌시아2)
5th row서울특별시 광진구 광나루로 513 (구의동)
ValueCountFrequency (%)
서울특별시 151
 
17.3%
광진구 151
 
17.3%
자양동 40
 
4.6%
구의동 32
 
3.7%
중곡동 32
 
3.7%
2층 24
 
2.7%
3층 21
 
2.4%
뚝섬로 13
 
1.5%
아차산로 12
 
1.4%
능동로 10
 
1.1%
Other values (246) 387
44.3%
2024-05-11T15:44:17.588949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
753
 
17.1%
구 193
 
4.4%
광 182
 
4.1%
동 179
 
4.1%
) 157
 
3.6%
( 157
 
3.6%
진 154
 
3.5%
시 152
 
3.4%
서 151
 
3.4%
로 151
 
3.4%
Other values (114) 2183
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2584
58.6%
Space Separator 753
 
17.1%
Decimal Number 630
 
14.3%
Close Punctuation 157
 
3.6%
Open Punctuation 157
 
3.6%
Other Punctuation 118
 
2.7%
Dash Punctuation 9
 
0.2%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 193
 
7.5%
광 182
 
7.0%
동 179
 
6.9%
진 154
 
6.0%
시 152
 
5.9%
서 151
 
5.8%
로 151
 
5.8%
울 151
 
5.8%
별 151
 
5.8%
특 151
 
5.8%
Other values (97) 969
37.5%
Decimal Number
ValueCountFrequency (%)
1 119
18.9%
3 109
17.3%
2 85
13.5%
4 65
10.3%
5 56
8.9%
6 48
7.6%
7 42
 
6.7%
0 42
 
6.7%
9 34
 
5.4%
8 30
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
B 3
75.0%
A 1
 
25.0%
Space Separator
ValueCountFrequency (%)
753
100.0%
Close Punctuation
ValueCountFrequency (%)
) 157
100.0%
Open Punctuation
ValueCountFrequency (%)
( 157
100.0%
Other Punctuation
ValueCountFrequency (%)
, 118
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2584
58.6%
Common 1824
41.3%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 193
 
7.5%
광 182
 
7.0%
동 179
 
6.9%
진 154
 
6.0%
시 152
 
5.9%
서 151
 
5.8%
로 151
 
5.8%
울 151
 
5.8%
별 151
 
5.8%
특 151
 
5.8%
Other values (97) 969
37.5%
Common
ValueCountFrequency (%)
753
41.3%
) 157
 
8.6%
( 157
 
8.6%
1 119
 
6.5%
, 118
 
6.5%
3 109
 
6.0%
2 85
 
4.7%
4 65
 
3.6%
5 56
 
3.1%
6 48
 
2.6%
Other values (5) 157
 
8.6%
Latin
ValueCountFrequency (%)
B 3
75.0%
A 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2584
58.6%
ASCII 1828
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
753
41.2%
) 157
 
8.6%
( 157
 
8.6%
1 119
 
6.5%
, 118
 
6.5%
3 109
 
6.0%
2 85
 
4.6%
4 65
 
3.6%
5 56
 
3.1%
6 48
 
2.6%
Other values (7) 161
 
8.8%
Hangul
ValueCountFrequency (%)
구 193
 
7.5%
광 182
 
7.0%
동 179
 
6.9%
진 154
 
6.0%
시 152
 
5.9%
서 151
 
5.8%
로 151
 
5.8%
울 151
 
5.8%
별 151
 
5.8%
특 151
 
5.8%
Other values (97) 969
37.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct79
Distinct (%)75.2%
Missing50
Missing (%)32.3%
Infinite0
Infinite (%)0.0%
Mean10301.171
Minimum4902
Maximum143917
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-05-11T15:44:17.836498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4902
5-th percentile4908
Q14955
median5024
Q35070
95-th percentile5117.8
Maximum143917
Range139015
Interquartile range (IQR)115

Descriptive statistics

Standard deviation26706.456
Coefficient of variation (CV)2.5925649
Kurtosis22.398406
Mean10301.171
Median Absolute Deviation (MAD)55
Skewness4.8961104
Sum1081623
Variance7.1323478 × 108
MonotonicityNot monotonic
2024-05-11T15:44:18.100655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5034 3
 
1.9%
5090 3
 
1.9%
4907 3
 
1.9%
5102 3
 
1.9%
4908 3
 
1.9%
4928 3
 
1.9%
5070 3
 
1.9%
5033 3
 
1.9%
5024 3
 
1.9%
5063 2
 
1.3%
Other values (69) 76
49.0%
(Missing) 50
32.3%
ValueCountFrequency (%)
4902 1
 
0.6%
4907 3
1.9%
4908 3
1.9%
4914 1
 
0.6%
4919 1
 
0.6%
4921 1
 
0.6%
4924 1
 
0.6%
4928 3
1.9%
4929 1
 
0.6%
4930 2
1.3%
ValueCountFrequency (%)
143917 1
0.6%
143861 1
0.6%
143830 1
0.6%
143826 1
0.6%
5119 1
0.6%
5118 1
0.6%
5117 2
1.3%
5112 1
0.6%
5109 1
0.6%
5107 1
0.6%

사업장명
Text

Distinct153
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-05-11T15:44:18.543219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length8.2903226
Min length3

Characters and Unicode

Total characters1285
Distinct characters221
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

Unique151 ?
Unique (%)97.4%

Sample

1st row조양체육관
2nd row화랑체육관
3rd row화랑유도교실
4th row정훈태권도장
5th row중앙체육관
ValueCountFrequency (%)
태권도 21
 
8.6%
체육관 5
 
2.1%
경희대 4
 
1.6%
용인대 3
 
1.2%
태권도장 3
 
1.2%
광진 3
 
1.2%
복싱 3
 
1.2%
라이온 2
 
0.8%
고려대 2
 
0.8%
용맹2체육관 2
 
0.8%
Other values (185) 195
80.2%
2024-05-11T15:44:19.245200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 93
 
7.2%
88
 
6.8%
권 71
 
5.5%
태 69
 
5.4%
관 61
 
4.7%
체 47
 
3.7%
육 47
 
3.7%
( 32
 
2.5%
) 32
 
2.5%
이 27
 
2.1%
Other values (211) 718
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1053
81.9%
Space Separator 88
 
6.8%
Uppercase Letter 48
 
3.7%
Open Punctuation 32
 
2.5%
Close Punctuation 32
 
2.5%
Lowercase Letter 23
 
1.8%
Decimal Number 4
 
0.3%
Other Punctuation 4
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 93
 
8.8%
권 71
 
6.7%
태 69
 
6.6%
관 61
 
5.8%
체 47
 
4.5%
육 47
 
4.5%
이 27
 
2.6%
복 23
 
2.2%
싱 22
 
2.1%
장 22
 
2.1%
Other values (168) 571
54.2%
Uppercase Letter
ValueCountFrequency (%)
M 6
12.5%
T 6
12.5%
A 5
10.4%
S 4
 
8.3%
J 3
 
6.2%
B 3
 
6.2%
C 3
 
6.2%
G 2
 
4.2%
R 2
 
4.2%
U 2
 
4.2%
Other values (9) 12
25.0%
Lowercase Letter
ValueCountFrequency (%)
s 3
13.0%
e 2
 
8.7%
r 2
 
8.7%
o 2
 
8.7%
y 2
 
8.7%
m 2
 
8.7%
i 1
 
4.3%
x 1
 
4.3%
u 1
 
4.3%
h 1
 
4.3%
Other values (6) 6
26.1%
Other Punctuation
ValueCountFrequency (%)
? 2
50.0%
& 1
25.0%
. 1
25.0%
Space Separator
ValueCountFrequency (%)
88
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Decimal Number
ValueCountFrequency (%)
2 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1053
81.9%
Common 161
 
12.5%
Latin 71
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 93
 
8.8%
권 71
 
6.7%
태 69
 
6.6%
관 61
 
5.8%
체 47
 
4.5%
육 47
 
4.5%
이 27
 
2.6%
복 23
 
2.2%
싱 22
 
2.1%
장 22
 
2.1%
Other values (168) 571
54.2%
Latin
ValueCountFrequency (%)
M 6
 
8.5%
T 6
 
8.5%
A 5
 
7.0%
S 4
 
5.6%
J 3
 
4.2%
B 3
 
4.2%
C 3
 
4.2%
s 3
 
4.2%
e 2
 
2.8%
r 2
 
2.8%
Other values (25) 34
47.9%
Common
ValueCountFrequency (%)
88
54.7%
( 32
 
19.9%
) 32
 
19.9%
2 4
 
2.5%
? 2
 
1.2%
& 1
 
0.6%
. 1
 
0.6%
- 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1053
81.9%
ASCII 232
 
18.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 93
 
8.8%
권 71
 
6.7%
태 69
 
6.6%
관 61
 
5.8%
체 47
 
4.5%
육 47
 
4.5%
이 27
 
2.6%
복 23
 
2.2%
싱 22
 
2.1%
장 22
 
2.1%
Other values (168) 571
54.2%
ASCII
ValueCountFrequency (%)
88
37.9%
( 32
 
13.8%
) 32
 
13.8%
M 6
 
2.6%
T 6
 
2.6%
A 5
 
2.2%
2 4
 
1.7%
S 4
 
1.7%
J 3
 
1.3%
B 3
 
1.3%
Other values (33) 49
21.1%

최종수정일자
Date

Distinct145
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2003-05-13 11:23:25
Maximum2024-05-07 13:57:34
2024-05-11T15:44:19.488631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:44:19.716745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
I
116 
U
39 

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 116
74.8%
U 39
 
25.2%

Length

2024-05-11T15:44:19.960514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:20.146394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 116
74.8%
u 39
 
25.2%

데이터갱신일자
Categorical

IMBALANCE 

Distinct49
Distinct (%)31.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2018-08-31 23:59:59.0
106 
2022-11-01 23:05:00.0
 
2
2020-12-02 02:40:00.0
 
1
2022-10-31 23:02:00.0
 
1
2022-11-01 21:01:00.0
 
1
Other values (44)
44 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique47 ?
Unique (%)30.3%

Sample

1st row2018-11-18 02:37:55.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 106
68.4%
2022-11-01 23:05:00.0 2
 
1.3%
2020-12-02 02:40:00.0 1
 
0.6%
2022-10-31 23:02:00.0 1
 
0.6%
2022-11-01 21:01:00.0 1
 
0.6%
2018-10-25 02:37:48.0 1
 
0.6%
2022-02-16 02:40:00.0 1
 
0.6%
2022-12-09 00:06:00.0 1
 
0.6%
2023-12-01 22:08:00.0 1
 
0.6%
2021-03-17 02:40:00.0 1
 
0.6%
Other values (39) 39
 
25.2%

Length

2024-05-11T15:44:20.322089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59:59.0 107
34.5%
2018-08-31 106
34.2%
02:40:00.0 14
 
4.5%
2022-11-01 6
 
1.9%
22:08:00.0 2
 
0.6%
22:03:00.0 2
 
0.6%
00:09:00.0 2
 
0.6%
23:04:00.0 2
 
0.6%
2023-12-02 2
 
0.6%
2022-12-03 2
 
0.6%
Other values (58) 65
21.0%

업태구분명
Categorical

Distinct8
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
92 
태권도
33 
권투
16 
유도
 
6
검도
 
3
Other values (3)
 
5

Length

Max length4
Median length4
Mean length3.4258065
Min length2

Unique

Unique2 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 92
59.4%
태권도 33
 
21.3%
권투 16
 
10.3%
유도 6
 
3.9%
검도 3
 
1.9%
합기도 3
 
1.9%
우슈 1
 
0.6%
레슬링 1
 
0.6%

Length

2024-05-11T15:44:20.562643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:20.894896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 92
59.4%
태권도 33
 
21.3%
권투 16
 
10.3%
유도 6
 
3.9%
검도 3
 
1.9%
합기도 3
 
1.9%
우슈 1
 
0.6%
레슬링 1
 
0.6%

좌표정보(X)
Real number (ℝ)

Distinct137
Distinct (%)89.0%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean207224.12
Minimum205473.98
Maximum209900.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-05-11T15:44:21.137789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205473.98
5-th percentile205833.05
Q1206531.92
median207230.34
Q3207724.2
95-th percentile208958.35
Maximum209900.3
Range4426.3261
Interquartile range (IQR)1192.2764

Descriptive statistics

Standard deviation910.45101
Coefficient of variation (CV)0.0043935571
Kurtosis-0.072289776
Mean207224.12
Median Absolute Deviation (MAD)611.37993
Skewness0.34721072
Sum31912515
Variance828921.05
MonotonicityNot monotonic
2024-05-11T15:44:21.394378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
206265.844310085 4
 
2.6%
207306.382464524 3
 
1.9%
206808.510620029 2
 
1.3%
207562.203309835 2
 
1.3%
207244.217989034 2
 
1.3%
206226.550478409 2
 
1.3%
206523.420380767 2
 
1.3%
207102.532982915 2
 
1.3%
209074.663267705 2
 
1.3%
207240.832113436 2
 
1.3%
Other values (127) 131
84.5%
ValueCountFrequency (%)
205473.975692391 1
0.6%
205510.476832288 1
0.6%
205643.927019557 1
0.6%
205661.655961587 1
0.6%
205703.746604377 1
0.6%
205710.424298082 1
0.6%
205769.47935921 1
0.6%
205817.695117189 1
0.6%
205841.315094422 1
0.6%
205900.515803678 1
0.6%
ValueCountFrequency (%)
209900.301749257 1
0.6%
209637.078215509 1
0.6%
209367.991933454 1
0.6%
209187.672641774 1
0.6%
209074.663267705 2
1.3%
209003.249233431 1
0.6%
208972.161390491 1
0.6%
208950.91165115 1
0.6%
208644.819209521 1
0.6%
208635.137917067 1
0.6%

좌표정보(Y)
Real number (ℝ)

Distinct137
Distinct (%)89.0%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean449289.82
Minimum447374.01
Maximum452036.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-05-11T15:44:21.628552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447374.01
5-th percentile447632.65
Q1448237.26
median449104.59
Q3450309.18
95-th percentile451452.12
Maximum452036.09
Range4662.0853
Interquartile range (IQR)2071.9229

Descriptive statistics

Standard deviation1226.2065
Coefficient of variation (CV)0.0027292104
Kurtosis-0.93908566
Mean449289.82
Median Absolute Deviation (MAD)1011.1425
Skewness0.39314815
Sum69190633
Variance1503582.3
MonotonicityNot monotonic
2024-05-11T15:44:21.855637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448087.393600126 4
 
2.6%
447374.008518853 3
 
1.9%
450657.19698338 2
 
1.3%
451046.905944857 2
 
1.3%
450671.323179212 2
 
1.3%
450006.217157607 2
 
1.3%
448235.983400054 2
 
1.3%
451463.082421668 2
 
1.3%
449404.793172222 2
 
1.3%
451144.024799901 2
 
1.3%
Other values (127) 131
84.5%
ValueCountFrequency (%)
447374.008518853 3
1.9%
447375.994047199 1
 
0.6%
447564.441308066 1
 
0.6%
447601.744419427 1
 
0.6%
447612.962132252 1
 
0.6%
447614.029137741 1
 
0.6%
447642.681497196 1
 
0.6%
447665.572094253 1
 
0.6%
447692.555249939 1
 
0.6%
447707.434336975 1
 
0.6%
ValueCountFrequency (%)
452036.093818641 1
0.6%
451925.04287602 1
0.6%
451800.009864484 1
0.6%
451550.830682034 1
0.6%
451522.314560436 1
0.6%
451489.389486328 1
0.6%
451463.082421668 2
1.3%
451446.21163351 1
0.6%
451438.322885872 1
0.6%
451318.218448673 1
0.6%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
체육도장업
127 
<NA>
28 

Length

Max length5
Median length5
Mean length4.8193548
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체육도장업 127
81.9%
<NA> 28
 
18.1%

Length

2024-05-11T15:44:22.084708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:22.258871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육도장업 127
81.9%
na 28
 
18.1%

공사립구분명
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
사립
127 
<NA>
28 

Length

Max length4
Median length2
Mean length2.3612903
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 127
81.9%
<NA> 28
 
18.1%

Length

2024-05-11T15:44:22.469061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:22.647033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 127
81.9%
na 28
 
18.1%

보험가입여부코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
138 
0
17 

Length

Max length4
Median length4
Mean length3.6709677
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 138
89.0%
0 17
 
11.0%

Length

2024-05-11T15:44:22.814841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:23.048363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 138
89.0%
0 17
 
11.0%

지도자수
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
112 
1
28 
0
15 

Length

Max length4
Median length4
Mean length3.1677419
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> 112
72.3%
1 28
 
18.1%
0 15
 
9.7%

Length

2024-05-11T15:44:23.324306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:23.524642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 112
72.3%
1 28
 
18.1%
0 15
 
9.7%

건축물동수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
126 
0
28 
1
 
1

Length

Max length4
Median length4
Mean length3.4387097
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 126
81.3%
0 28
 
18.1%
1 1
 
0.6%

Length

2024-05-11T15:44:23.711288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:23.913013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 126
81.3%
0 28
 
18.1%
1 1
 
0.6%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct40
Distinct (%)60.6%
Missing89
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean1598.623
Minimum0
Maximum37349.05
Zeros27
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-05-11T15:44:24.099380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median241.29
Q3951.3625
95-th percentile3761.31
Maximum37349.05
Range37349.05
Interquartile range (IQR)951.3625

Descriptive statistics

Standard deviation5811.267
Coefficient of variation (CV)3.6351703
Kurtosis30.512828
Mean1598.623
Median Absolute Deviation (MAD)241.29
Skewness5.5164881
Sum105509.12
Variance33770824
MonotonicityNot monotonic
2024-05-11T15:44:24.320071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0.0 27
 
17.4%
37349.05 1
 
0.6%
380.8 1
 
0.6%
1133.89 1
 
0.6%
4018.89 1
 
0.6%
1199.6 1
 
0.6%
822.25 1
 
0.6%
622.15 1
 
0.6%
977.44 1
 
0.6%
873.13 1
 
0.6%
Other values (30) 30
 
19.4%
(Missing) 89
57.4%
ValueCountFrequency (%)
0.0 27
17.4%
103.82 1
 
0.6%
136.64 1
 
0.6%
137.84 1
 
0.6%
139.0 1
 
0.6%
160.65 1
 
0.6%
166.0 1
 
0.6%
316.58 1
 
0.6%
380.8 1
 
0.6%
478.21 1
 
0.6%
ValueCountFrequency (%)
37349.05 1
0.6%
29895.0 1
0.6%
4140.78 1
0.6%
4018.89 1
0.6%
2988.57 1
0.6%
2805.2 1
0.6%
2358.27 1
0.6%
1335.13 1
0.6%
1320.0 1
0.6%
1209.48 1
0.6%

회원모집총인원
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
151 
0
 
3
100
 
1

Length

Max length4
Median length4
Mean length3.9354839
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 151
97.4%
0 3
 
1.9%
100 1
 
0.6%

Length

2024-05-11T15:44:24.590813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:24.747116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 151
97.4%
0 3
 
1.9%
100 1
 
0.6%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03040000CDFH330102198900000119890928<NA>1영업/정상13영업중<NA><NA><NA><NA>464-5073<NA><NA>서울특별시 광진구 자양동 9-5번지서울특별시 광진구 아차산로30길 42 (자양동)5072조양체육관2018-11-16 17:12:00U2018-11-18 02:37:55.0<NA>205841.315094448537.547745체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
13040000CDFH330102198900000219891004<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 642번지 현대5차(아) 상가동 3층(301호)서울특별시 광진구 뚝섬로54길 74 (자양동, 자양5차현대아파트)5109화랑체육관2017-03-07 14:14:54I2018-08-31 23:59:59.0<NA>206849.822646447375.994047체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
23040000CDFH330102198900000319891005<NA>4취소/말소/만료/정지/중지35직권말소20130731<NA><NA><NA>444-9399<NA>143865서울특별시 광진구 자양동 608-19번지 3층동서울특별시 광진구 뚝섬로 596, 3층동 (자양동)<NA>화랑유도교실2013-08-05 11:18:16I2018-08-31 23:59:59.0<NA>206641.557042447859.976974체육도장업사립<NA><NA>00.0<NA><NA><NA>
33040000CDFH330102198900000419891026<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 236-25번지 B101호서울특별시 광진구 자양로 172, 지층 101호 (구의동, 솔렌시아2)5038정훈태권도장2016-09-02 12:37:32I2018-08-31 23:59:59.0<NA>207412.919254448968.677713체육도장업사립<NA><NA><NA>2805.2<NA><NA><NA>
43040000CDFH330102198900000519891107<NA>3폐업3폐업20031117<NA><NA><NA>452-2870<NA>143819서울특별시 광진구 구의동 67-23번지서울특별시 광진구 광나루로 513 (구의동)<NA>중앙체육관2003-12-26 14:01:06I2018-08-31 23:59:59.0<NA>207597.147574449223.389908체육도장업사립0<NA><NA><NA><NA><NA><NA>
53040000CDFH330102198900000619891111<NA>3폐업3폐업20140724<NA><NA><NA>464-8146<NA>143915서울특별시 광진구 화양동 15-62번지서울특별시 광진구 능동로13길 70 (화양동)<NA>호랑이체육관 (태권도)2014-07-24 13:07:18I2018-08-31 23:59:59.0<NA>206059.548835449166.851949체육도장업사립0<NA><NA><NA><NA><NA><NA>
63040000CDFH330102198900000719891111<NA>3폐업3폐업20220214<NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 82-1서울특별시 광진구 영화사로 18 (중곡동)4949용맹태권도체육관2022-02-14 17:46:38U2022-02-16 02:40:00.0<NA>207817.11307450586.162251체육도장업사립<NA>000.00<NA><NA>
73040000CDFH330102198900000819891122<NA>1영업/정상13영업중<NA><NA><NA><NA>452-7993<NA>143872서울특별시 광진구 자양동 651-32번지서울특별시 광진구 뚝섬로52가길 52 (자양동)<NA>자양태권도(무단폐업)2013-07-29 15:06:38I2018-08-31 23:59:59.0<NA>207189.004635447601.744419체육도장업사립<NA><NA>00.0<NA><NA><NA>
83040000CDFH330102198900000919891122<NA>3폐업3폐업20140120<NA><NA><NA><NA><NA>143900서울특별시 광진구 중곡동 169-21번지서울특별시 광진구 면목로 172 (중곡동)<NA>충효체육관 (태권도)2014-01-20 16:29:48I2018-08-31 23:59:59.0<NA>207250.834018451800.009864체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
93040000CDFH33010219890000101989-11-30<NA>3폐업3폐업2023-12-13<NA><NA><NA>446-6558<NA><NA>서울특별시 광진구 구의동 48-6서울특별시 광진구 자양로50길 6 (구의동)4961TS태권도장2023-12-13 11:02:49U2022-11-01 23:05:00.0태권도208113.973718449956.751896<NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
1453040000CDFH330102202200000120220412<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 193-51서울특별시 광진구 면목로 132, 2층 (중곡동)4908히트 플레이스 PT2022-08-12 14:01:21U2021-12-07 23:04:00.0권투207092.158907451438.322886<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1463040000CDFH330102202200000220220721<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 547-64 조양어린이집서울특별시 광진구 뚝섬로31길 43, 2층 (자양동)5075비각태권도장2022-07-21 18:57:00I2021-12-06 22:03:00.0태권도205956.726634448366.788048<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1473040000CDFH330102202200000320220928<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 243-66서울특별시 광진구 아차산로 399, 4층 (구의동)5044구의복싱2022-09-28 18:27:12I2021-12-08 21:00:00.0권투207622.582506448374.80368<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1483040000CDFH33010220230000012023-02-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 화양동 3-22서울특별시 광진구 능동로 141, 3층 (화양동)5011아지트복싱2023-02-16 13:36:32I2022-12-01 23:08:00.0권투206289.87884449019.845482<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1493040000CDFH33010220230000022023-05-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 341-8서울특별시 광진구 천호대로 569, 지층 (중곡동)4929제이복싱2023-05-11 10:45:30I2022-12-04 23:03:00.0권투207132.241305450502.916083<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1503040000CDFH33010220230000032023-08-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 253-12서울특별시 광진구 자양로 189, 4층 (구의동)5024지안 유도관2023-08-29 09:01:49I2022-12-07 21:01:00.0유도207422.394519449145.35947<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1513040000CDFH33010220230000042023-09-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 635-31서울특별시 광진구 뚝섬로 631, 지층 (자양동)5060플렉스 복싱 PT2023-12-13 11:05:18U2022-11-01 23:05:00.0권투206987.648486447763.863728<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1523040000CDFH33010220230000052023-09-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 40-2서울특별시 광진구 능동로 374, 301호 (중곡동)4937MTA 광진태권도2023-11-01 15:44:23U2022-11-01 00:03:00.0태권도207240.832113451144.0248<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1533040000CDFH33010220230000062023-11-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 228-3서울특별시 광진구 구의로 70, 3층 (구의동)5033명성 태권도2023-11-15 09:58:19I2022-10-31 23:07:00.0태권도207949.854901449113.420153<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1543040000CDFH33010220240000012024-05-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 화양동 48-17서울특별시 광진구 아차산로 215 (화양동)5019J&J Boxing Gym2024-05-07 13:57:34I2023-12-05 00:09:00.0권투205900.515804448773.617222<NA><NA><NA><NA><NA><NA><NA><NA><NA>