Overview

Dataset statistics

Number of variables34
Number of observations396
Missing cells3606
Missing cells (%)26.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory111.9 KiB
Average record size in memory289.3 B

Variable types

Categorical13
Text7
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
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-19850/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화체육업종명 is highly imbalanced (51.2%)Imbalance
공사립구분명 is highly imbalanced (51.2%)Imbalance
건축물동수 is highly imbalanced (60.9%)Imbalance
회원모집총인원 is highly imbalanced (77.9%)Imbalance
인허가취소일자 has 396 (100.0%) missing valuesMissing
폐업일자 has 155 (39.1%) missing valuesMissing
휴업시작일자 has 396 (100.0%) missing valuesMissing
휴업종료일자 has 396 (100.0%) missing valuesMissing
재개업일자 has 396 (100.0%) missing valuesMissing
전화번호 has 182 (46.0%) missing valuesMissing
소재지면적 has 396 (100.0%) missing valuesMissing
소재지우편번호 has 112 (28.3%) missing valuesMissing
지번주소 has 4 (1.0%) missing valuesMissing
도로명주소 has 9 (2.3%) missing valuesMissing
도로명우편번호 has 152 (38.4%) missing valuesMissing
좌표정보(X) has 11 (2.8%) missing valuesMissing
좌표정보(Y) has 11 (2.8%) missing valuesMissing
건축물연면적 has 198 (50.0%) missing valuesMissing
세부업종명 has 396 (100.0%) missing valuesMissing
법인명 has 396 (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 45 (11.4%) zerosZeros

Reproduction

Analysis started2024-05-11 08:29:42.956253
Analysis finished2024-05-11 08:29:44.255982
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
3230000
396 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 396
100.0%

Length

2024-05-11T08:29:44.438330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:29:44.674744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 396
100.0%

관리번호
Text

UNIQUE 

Distinct396
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-05-11T08:29:45.038278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters7920
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

Unique396 ?
Unique (%)100.0%

Sample

1st rowCDFH3301021989000001
2nd rowCDFH3301021989000002
3rd rowCDFH3301021989000003
4th rowCDFH3301021989000004
5th rowCDFH3301021989000005
ValueCountFrequency (%)
cdfh3301021989000001 1
 
0.3%
cdfh3301022009000008 1
 
0.3%
cdfh3301022009000006 1
 
0.3%
cdfh3301022009000005 1
 
0.3%
cdfh3301022009000004 1
 
0.3%
cdfh3301022009000003 1
 
0.3%
cdfh3301022009000002 1
 
0.3%
cdfh3301022009000001 1
 
0.3%
cdfh3301022008000017 1
 
0.3%
cdfh3301022008000016 1
 
0.3%
Other values (386) 386
97.5%
2024-05-11T08:29:45.856500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3153
39.8%
3 895
 
11.3%
2 821
 
10.4%
1 809
 
10.2%
C 396
 
5.0%
D 396
 
5.0%
F 396
 
5.0%
H 396
 
5.0%
9 272
 
3.4%
4 83
 
1.0%
Other values (4) 303
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6336
80.0%
Uppercase Letter 1584
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3153
49.8%
3 895
 
14.1%
2 821
 
13.0%
1 809
 
12.8%
9 272
 
4.3%
4 83
 
1.3%
5 79
 
1.2%
7 78
 
1.2%
8 75
 
1.2%
6 71
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 396
25.0%
D 396
25.0%
F 396
25.0%
H 396
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6336
80.0%
Latin 1584
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3153
49.8%
3 895
 
14.1%
2 821
 
13.0%
1 809
 
12.8%
9 272
 
4.3%
4 83
 
1.3%
5 79
 
1.2%
7 78
 
1.2%
8 75
 
1.2%
6 71
 
1.1%
Latin
ValueCountFrequency (%)
C 396
25.0%
D 396
25.0%
F 396
25.0%
H 396
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7920
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3153
39.8%
3 895
 
11.3%
2 821
 
10.4%
1 809
 
10.2%
C 396
 
5.0%
D 396
 
5.0%
F 396
 
5.0%
H 396
 
5.0%
9 272
 
3.4%
4 83
 
1.0%
Other values (4) 303
 
3.8%

인허가일자
Date

Distinct368
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum1989-11-09 00:00:00
Maximum2024-03-28 00:00:00
2024-05-11T08:29:46.288271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:29:46.757162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
3
198 
1
154 
4
43 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
3 198
50.0%
1 154
38.9%
4 43
 
10.9%
5 1
 
0.3%

Length

2024-05-11T08:29:47.163795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:29:47.508372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 198
50.0%
1 154
38.9%
4 43
 
10.9%
5 1
 
0.3%

영업상태명
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
폐업
198 
영업/정상
154 
취소/말소/만료/정지/중지
43 
제외/삭제/전출
 
1

Length

Max length14
Median length11
Mean length4.4848485
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 198
50.0%
영업/정상 154
38.9%
취소/말소/만료/정지/중지 43
 
10.9%
제외/삭제/전출 1
 
0.3%

Length

2024-05-11T08:29:47.966293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:29:48.535196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 198
50.0%
영업/정상 154
38.9%
취소/말소/만료/정지/중지 43
 
10.9%
제외/삭제/전출 1
 
0.3%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
3
198 
13
154 
35
43 
15
 
1

Length

Max length2
Median length1.5
Mean length1.5
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
3 198
50.0%
13 154
38.9%
35 43
 
10.9%
15 1
 
0.3%

Length

2024-05-11T08:29:49.146420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:29:49.552638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 198
50.0%
13 154
38.9%
35 43
 
10.9%
15 1
 
0.3%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
폐업
198 
영업중
154 
직권말소
43 
전출
 
1

Length

Max length4
Median length2
Mean length2.6060606
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 198
50.0%
영업중 154
38.9%
직권말소 43
 
10.9%
전출 1
 
0.3%

Length

2024-05-11T08:29:50.059374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:29:50.546149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 198
50.0%
영업중 154
38.9%
직권말소 43
 
10.9%
전출 1
 
0.3%

폐업일자
Text

MISSING 

Distinct185
Distinct (%)76.8%
Missing155
Missing (%)39.1%
Memory size3.2 KiB
2024-05-11T08:29:51.507524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.0414938
Min length8

Characters and Unicode

Total characters1938
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

Unique172 ?
Unique (%)71.4%

Sample

1st row20080620
2nd row20070115
3rd row20080430
4th row20091230
5th row20030429
ValueCountFrequency (%)
20210108 21
 
8.7%
20151106 21
 
8.7%
20030529 5
 
2.1%
20061130 4
 
1.7%
20091230 2
 
0.8%
20060228 2
 
0.8%
20020710 2
 
0.8%
20101223 2
 
0.8%
20080215 2
 
0.8%
20041108 2
 
0.8%
Other values (175) 178
73.9%
2024-05-11T08:29:53.183893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 638
32.9%
2 395
20.4%
1 371
19.1%
9 110
 
5.7%
8 86
 
4.4%
3 83
 
4.3%
5 74
 
3.8%
6 72
 
3.7%
7 57
 
2.9%
4 42
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1928
99.5%
Dash Punctuation 10
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 638
33.1%
2 395
20.5%
1 371
19.2%
9 110
 
5.7%
8 86
 
4.5%
3 83
 
4.3%
5 74
 
3.8%
6 72
 
3.7%
7 57
 
3.0%
4 42
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1938
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 638
32.9%
2 395
20.4%
1 371
19.1%
9 110
 
5.7%
8 86
 
4.4%
3 83
 
4.3%
5 74
 
3.8%
6 72
 
3.7%
7 57
 
2.9%
4 42
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1938
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 638
32.9%
2 395
20.4%
1 371
19.1%
9 110
 
5.7%
8 86
 
4.4%
3 83
 
4.3%
5 74
 
3.8%
6 72
 
3.7%
7 57
 
2.9%
4 42
 
2.2%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

전화번호
Text

MISSING 

Distinct194
Distinct (%)90.7%
Missing182
Missing (%)46.0%
Memory size3.2 KiB
2024-05-11T08:29:54.663295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.5140187
Min length8

Characters and Unicode

Total characters1822
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

Unique175 ?
Unique (%)81.8%

Sample

1st row403-8677
2nd row423-2446
3rd row416-0550
4th row408-2389
5th row406-1588
ValueCountFrequency (%)
430-1126 3
 
1.4%
417-5163 2
 
0.9%
418-9608 2
 
0.9%
409-6444 2
 
0.9%
419-3199 2
 
0.9%
408-8081 2
 
0.9%
402-7300 2
 
0.9%
406-2709 2
 
0.9%
425-4002 2
 
0.9%
421-1462 2
 
0.9%
Other values (184) 193
90.2%
2024-05-11T08:29:57.327483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 321
17.6%
- 242
13.3%
0 240
13.2%
2 206
11.3%
1 179
9.8%
3 131
7.2%
9 111
 
6.1%
7 108
 
5.9%
6 107
 
5.9%
8 103
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1580
86.7%
Dash Punctuation 242
 
13.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 321
20.3%
0 240
15.2%
2 206
13.0%
1 179
11.3%
3 131
8.3%
9 111
 
7.0%
7 108
 
6.8%
6 107
 
6.8%
8 103
 
6.5%
5 74
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1822
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 321
17.6%
- 242
13.3%
0 240
13.2%
2 206
11.3%
1 179
9.8%
3 131
7.2%
9 111
 
6.1%
7 108
 
5.9%
6 107
 
5.9%
8 103
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1822
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 321
17.6%
- 242
13.3%
0 240
13.2%
2 206
11.3%
1 179
9.8%
3 131
7.2%
9 111
 
6.1%
7 108
 
5.9%
6 107
 
5.9%
8 103
 
5.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

소재지우편번호
Text

MISSING 

Distinct88
Distinct (%)31.0%
Missing112
Missing (%)28.3%
Memory size3.2 KiB
2024-05-11T08:29:58.105652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0140845
Min length6

Characters and Unicode

Total characters1708
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

Unique33 ?
Unique (%)11.6%

Sample

1st row138200
2nd row138839
3rd row138240
4th row138812
5th row138200
ValueCountFrequency (%)
138200 18
 
6.3%
138854 12
 
4.2%
138862 10
 
3.5%
138240 9
 
3.2%
138220 9
 
3.2%
138847 8
 
2.8%
138813 8
 
2.8%
138814 7
 
2.5%
138841 7
 
2.5%
138812 7
 
2.5%
Other values (78) 189
66.5%
2024-05-11T08:29:59.728059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 518
30.3%
1 367
21.5%
3 347
20.3%
0 110
 
6.4%
2 97
 
5.7%
4 76
 
4.4%
5 60
 
3.5%
6 45
 
2.6%
7 44
 
2.6%
9 40
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1704
99.8%
Dash Punctuation 4
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 518
30.4%
1 367
21.5%
3 347
20.4%
0 110
 
6.5%
2 97
 
5.7%
4 76
 
4.5%
5 60
 
3.5%
6 45
 
2.6%
7 44
 
2.6%
9 40
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1708
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 518
30.3%
1 367
21.5%
3 347
20.3%
0 110
 
6.4%
2 97
 
5.7%
4 76
 
4.4%
5 60
 
3.5%
6 45
 
2.6%
7 44
 
2.6%
9 40
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1708
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 518
30.3%
1 367
21.5%
3 347
20.3%
0 110
 
6.4%
2 97
 
5.7%
4 76
 
4.4%
5 60
 
3.5%
6 45
 
2.6%
7 44
 
2.6%
9 40
 
2.3%

지번주소
Text

MISSING 

Distinct381
Distinct (%)97.2%
Missing4
Missing (%)1.0%
Memory size3.2 KiB
2024-05-11T08:30:00.272943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length41
Mean length24.459184
Min length16

Characters and Unicode

Total characters9588
Distinct characters151
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

Unique371 ?
Unique (%)94.6%

Sample

1st row서울특별시 송파구 문정동 136-26번지
2nd row서울특별시 송파구 삼전동 101-16번지
3rd row서울특별시 송파구 신천동 11-0번지 장미c상가 503호
4th row서울특별시 송파구 가락동 194-7번지
5th row서울특별시 송파구 문정동 31-1번지 ,2
ValueCountFrequency (%)
서울특별시 392
21.1%
송파구 392
21.1%
가락동 50
 
2.7%
잠실동 44
 
2.4%
2층 42
 
2.3%
문정동 41
 
2.2%
석촌동 35
 
1.9%
송파동 35
 
1.9%
거여동 34
 
1.8%
3층 33
 
1.8%
Other values (482) 760
40.9%
2024-05-11T08:30:01.392879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1800
18.8%
파 443
 
4.6%
송 429
 
4.5%
1 415
 
4.3%
동 412
 
4.3%
시 396
 
4.1%
서 393
 
4.1%
울 393
 
4.1%
구 392
 
4.1%
별 392
 
4.1%
Other values (141) 4123
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5607
58.5%
Space Separator 1800
 
18.8%
Decimal Number 1783
 
18.6%
Dash Punctuation 344
 
3.6%
Uppercase Letter 15
 
0.2%
Other Punctuation 12
 
0.1%
Open Punctuation 10
 
0.1%
Close Punctuation 10
 
0.1%
Math Symbol 5
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 443
 
7.9%
송 429
 
7.7%
동 412
 
7.3%
시 396
 
7.1%
서 393
 
7.0%
울 393
 
7.0%
구 392
 
7.0%
별 392
 
7.0%
특 392
 
7.0%
지 344
 
6.1%
Other values (121) 1621
28.9%
Decimal Number
ValueCountFrequency (%)
1 415
23.3%
2 292
16.4%
3 192
10.8%
5 163
 
9.1%
0 160
 
9.0%
4 130
 
7.3%
9 118
 
6.6%
8 114
 
6.4%
6 104
 
5.8%
7 95
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
B 9
60.0%
A 6
40.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
c 1
50.0%
Space Separator
ValueCountFrequency (%)
1800
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 344
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5607
58.5%
Common 3964
41.3%
Latin 17
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 443
 
7.9%
송 429
 
7.7%
동 412
 
7.3%
시 396
 
7.1%
서 393
 
7.0%
울 393
 
7.0%
구 392
 
7.0%
별 392
 
7.0%
특 392
 
7.0%
지 344
 
6.1%
Other values (121) 1621
28.9%
Common
ValueCountFrequency (%)
1800
45.4%
1 415
 
10.5%
- 344
 
8.7%
2 292
 
7.4%
3 192
 
4.8%
5 163
 
4.1%
0 160
 
4.0%
4 130
 
3.3%
9 118
 
3.0%
8 114
 
2.9%
Other values (6) 236
 
6.0%
Latin
ValueCountFrequency (%)
B 9
52.9%
A 6
35.3%
e 1
 
5.9%
c 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5607
58.5%
ASCII 3981
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1800
45.2%
1 415
 
10.4%
- 344
 
8.6%
2 292
 
7.3%
3 192
 
4.8%
5 163
 
4.1%
0 160
 
4.0%
4 130
 
3.3%
9 118
 
3.0%
8 114
 
2.9%
Other values (10) 253
 
6.4%
Hangul
ValueCountFrequency (%)
파 443
 
7.9%
송 429
 
7.7%
동 412
 
7.3%
시 396
 
7.1%
서 393
 
7.0%
울 393
 
7.0%
구 392
 
7.0%
별 392
 
7.0%
특 392
 
7.0%
지 344
 
6.1%
Other values (121) 1621
28.9%

도로명주소
Text

MISSING 

Distinct372
Distinct (%)96.1%
Missing9
Missing (%)2.3%
Memory size3.2 KiB
2024-05-11T08:30:02.115167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length47
Mean length28.821705
Min length22

Characters and Unicode

Total characters11154
Distinct characters174
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

Unique359 ?
Unique (%)92.8%

Sample

1st row서울특별시 송파구 송이로31길 24 (문정동)
2nd row서울특별시 송파구 백제고분로 245 (삼전동)
3rd row서울특별시 송파구 오금로 20, 503호 (신천동,장미c상가)
4th row서울특별시 송파구 오금로44길 48 (가락동)
5th row서울특별시 송파구 동남로4길 27 (문정동,,2)
ValueCountFrequency (%)
서울특별시 387
 
17.9%
송파구 387
 
17.9%
가락동 44
 
2.0%
잠실동 39
 
1.8%
2층 34
 
1.6%
석촌동 33
 
1.5%
거여동 30
 
1.4%
문정동 29
 
1.3%
방이동 28
 
1.3%
삼전동 26
 
1.2%
Other values (460) 1126
52.1%
2024-05-11T08:30:03.490597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1919
 
17.2%
송 473
 
4.2%
파 464
 
4.2%
동 425
 
3.8%
( 391
 
3.5%
) 391
 
3.5%
시 390
 
3.5%
서 388
 
3.5%
울 388
 
3.5%
특 387
 
3.5%
Other values (164) 5538
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6580
59.0%
Space Separator 1919
 
17.2%
Decimal Number 1579
 
14.2%
Open Punctuation 391
 
3.5%
Close Punctuation 391
 
3.5%
Other Punctuation 236
 
2.1%
Dash Punctuation 34
 
0.3%
Uppercase Letter 14
 
0.1%
Math Symbol 8
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
송 473
 
7.2%
파 464
 
7.1%
동 425
 
6.5%
시 390
 
5.9%
서 388
 
5.9%
울 388
 
5.9%
특 387
 
5.9%
별 387
 
5.9%
구 387
 
5.9%
로 386
 
5.9%
Other values (144) 2505
38.1%
Decimal Number
ValueCountFrequency (%)
2 318
20.1%
1 299
18.9%
3 219
13.9%
4 187
11.8%
5 142
9.0%
0 102
 
6.5%
8 95
 
6.0%
6 85
 
5.4%
7 80
 
5.1%
9 52
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
B 8
57.1%
A 6
42.9%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
c 1
50.0%
Space Separator
ValueCountFrequency (%)
1919
100.0%
Open Punctuation
ValueCountFrequency (%)
( 391
100.0%
Close Punctuation
ValueCountFrequency (%)
) 391
100.0%
Other Punctuation
ValueCountFrequency (%)
, 236
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6580
59.0%
Common 4558
40.9%
Latin 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
송 473
 
7.2%
파 464
 
7.1%
동 425
 
6.5%
시 390
 
5.9%
서 388
 
5.9%
울 388
 
5.9%
특 387
 
5.9%
별 387
 
5.9%
구 387
 
5.9%
로 386
 
5.9%
Other values (144) 2505
38.1%
Common
ValueCountFrequency (%)
1919
42.1%
( 391
 
8.6%
) 391
 
8.6%
2 318
 
7.0%
1 299
 
6.6%
, 236
 
5.2%
3 219
 
4.8%
4 187
 
4.1%
5 142
 
3.1%
0 102
 
2.2%
Other values (6) 354
 
7.8%
Latin
ValueCountFrequency (%)
B 8
50.0%
A 6
37.5%
e 1
 
6.2%
c 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6580
59.0%
ASCII 4574
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1919
42.0%
( 391
 
8.5%
) 391
 
8.5%
2 318
 
7.0%
1 299
 
6.5%
, 236
 
5.2%
3 219
 
4.8%
4 187
 
4.1%
5 142
 
3.1%
0 102
 
2.2%
Other values (10) 370
 
8.1%
Hangul
ValueCountFrequency (%)
송 473
 
7.2%
파 464
 
7.1%
동 425
 
6.5%
시 390
 
5.9%
서 388
 
5.9%
울 388
 
5.9%
특 387
 
5.9%
별 387
 
5.9%
구 387
 
5.9%
로 386
 
5.9%
Other values (144) 2505
38.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct151
Distinct (%)61.9%
Missing152
Missing (%)38.4%
Infinite0
Infinite (%)0.0%
Mean12770.75
Minimum5500
Maximum138879
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-05-11T08:30:04.307065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5500
5-th percentile5504
Q15595.5
median5692.5
Q35779.75
95-th percentile118869.3
Maximum138879
Range133379
Interquartile range (IQR)184.25

Descriptive statistics

Standard deviation29970.318
Coefficient of variation (CV)2.3467939
Kurtosis14.137671
Mean12770.75
Median Absolute Deviation (MAD)92.5
Skewness4.0027022
Sum3116063
Variance8.9821997 × 108
MonotonicityNot monotonic
2024-05-11T08:30:04.868303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5501 6
 
1.5%
5816 5
 
1.3%
5697 5
 
1.3%
5799 5
 
1.3%
5559 5
 
1.3%
5555 4
 
1.0%
5536 4
 
1.0%
5507 4
 
1.0%
5504 4
 
1.0%
5827 3
 
0.8%
Other values (141) 199
50.3%
(Missing) 152
38.4%
ValueCountFrequency (%)
5500 1
 
0.3%
5501 6
1.5%
5502 2
 
0.5%
5503 2
 
0.5%
5504 4
1.0%
5507 4
1.0%
5510 1
 
0.3%
5516 3
0.8%
5531 2
 
0.5%
5534 2
 
0.5%
ValueCountFrequency (%)
138879 1
0.3%
138862 1
0.3%
138861 1
0.3%
138859 1
0.3%
138856 1
0.3%
138854 1
0.3%
138853 1
0.3%
138846 2
0.5%
138845 1
0.3%
138816 1
0.3%

사업장명
Text

Distinct364
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-05-11T08:30:05.534937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length19
Mean length7.2424242
Min length2

Characters and Unicode

Total characters2868
Distinct characters304
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

Unique333 ?
Unique (%)84.1%

Sample

1st row성심태권도
2nd row삼전원도체육관
3rd row천마 검도체육관
4th rowSOMA종합체육관
5th row문정태권도
ValueCountFrequency (%)
태권도 30
 
5.5%
용인대 13
 
2.4%
체육관 9
 
1.6%
태권도장 8
 
1.5%
한국체대 7
 
1.3%
경희대 6
 
1.1%
복싱 5
 
0.9%
합기도 4
 
0.7%
퍼스트 4
 
0.7%
백호 3
 
0.5%
Other values (403) 459
83.8%
2024-05-11T08:30:06.733488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 252
 
8.8%
태 193
 
6.7%
권 193
 
6.7%
152
 
5.3%
관 147
 
5.1%
체 127
 
4.4%
육 114
 
4.0%
장 73
 
2.5%
대 70
 
2.4%
스 42
 
1.5%
Other values (294) 1505
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2547
88.8%
Space Separator 152
 
5.3%
Uppercase Letter 83
 
2.9%
Lowercase Letter 49
 
1.7%
Decimal Number 14
 
0.5%
Open Punctuation 8
 
0.3%
Close Punctuation 8
 
0.3%
Other Punctuation 6
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 252
 
9.9%
태 193
 
7.6%
권 193
 
7.6%
관 147
 
5.8%
체 127
 
5.0%
육 114
 
4.5%
장 73
 
2.9%
대 70
 
2.7%
스 42
 
1.6%
한 37
 
1.5%
Other values (237) 1299
51.0%
Uppercase Letter
ValueCountFrequency (%)
T 12
14.5%
S 9
10.8%
K 8
 
9.6%
C 6
 
7.2%
A 6
 
7.2%
M 5
 
6.0%
I 4
 
4.8%
P 4
 
4.8%
O 4
 
4.8%
Y 3
 
3.6%
Other values (13) 22
26.5%
Lowercase Letter
ValueCountFrequency (%)
i 5
 
10.2%
e 4
 
8.2%
r 4
 
8.2%
o 4
 
8.2%
n 4
 
8.2%
u 4
 
8.2%
c 4
 
8.2%
a 3
 
6.1%
m 2
 
4.1%
y 2
 
4.1%
Other values (9) 13
26.5%
Decimal Number
ValueCountFrequency (%)
1 3
21.4%
2 3
21.4%
4 2
14.3%
3 1
 
7.1%
7 1
 
7.1%
6 1
 
7.1%
9 1
 
7.1%
0 1
 
7.1%
5 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 4
66.7%
& 2
33.3%
Space Separator
ValueCountFrequency (%)
152
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2547
88.8%
Common 189
 
6.6%
Latin 132
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 252
 
9.9%
태 193
 
7.6%
권 193
 
7.6%
관 147
 
5.8%
체 127
 
5.0%
육 114
 
4.5%
장 73
 
2.9%
대 70
 
2.7%
스 42
 
1.6%
한 37
 
1.5%
Other values (237) 1299
51.0%
Latin
ValueCountFrequency (%)
T 12
 
9.1%
S 9
 
6.8%
K 8
 
6.1%
C 6
 
4.5%
A 6
 
4.5%
M 5
 
3.8%
i 5
 
3.8%
I 4
 
3.0%
e 4
 
3.0%
r 4
 
3.0%
Other values (32) 69
52.3%
Common
ValueCountFrequency (%)
152
80.4%
( 8
 
4.2%
) 8
 
4.2%
. 4
 
2.1%
1 3
 
1.6%
2 3
 
1.6%
& 2
 
1.1%
4 2
 
1.1%
3 1
 
0.5%
7 1
 
0.5%
Other values (5) 5
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2547
88.8%
ASCII 321
 
11.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 252
 
9.9%
태 193
 
7.6%
권 193
 
7.6%
관 147
 
5.8%
체 127
 
5.0%
육 114
 
4.5%
장 73
 
2.9%
대 70
 
2.7%
스 42
 
1.6%
한 37
 
1.5%
Other values (237) 1299
51.0%
ASCII
ValueCountFrequency (%)
152
47.4%
T 12
 
3.7%
S 9
 
2.8%
( 8
 
2.5%
) 8
 
2.5%
K 8
 
2.5%
C 6
 
1.9%
A 6
 
1.9%
M 5
 
1.6%
i 5
 
1.6%
Other values (47) 102
31.8%

최종수정일자
Date

Distinct355
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum2003-02-17 15:15:04
Maximum2024-05-09 14:37:20
2024-05-11T08:30:07.279340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:30:07.839728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
I
283 
U
113 

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 283
71.5%
U 113
 
28.5%

Length

2024-05-11T08:30:08.430259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:30:08.916766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 283
71.5%
u 113
 
28.5%

데이터갱신일자
Date

Distinct109
Distinct (%)27.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 23:01:00
2024-05-11T08:30:09.582163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:30:10.128175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct8
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
<NA>
201 
태권도
122 
권투
37 
검도
 
15
유도
 
10
Other values (3)
 
11

Length

Max length4
Median length4
Mean length3.3459596
Min length2

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> 201
50.8%
태권도 122
30.8%
권투 37
 
9.3%
검도 15
 
3.8%
유도 10
 
2.5%
합기도 6
 
1.5%
레슬링 3
 
0.8%
우슈 2
 
0.5%

Length

2024-05-11T08:30:10.723987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:30:11.205701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 201
50.8%
태권도 122
30.8%
권투 37
 
9.3%
검도 15
 
3.8%
유도 10
 
2.5%
합기도 6
 
1.5%
레슬링 3
 
0.8%
우슈 2
 
0.5%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct313
Distinct (%)81.3%
Missing11
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean210315.04
Minimum206383.83
Maximum213731.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-05-11T08:30:11.834510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206383.83
5-th percentile207373.5
Q1209186.26
median210423.73
Q3211501.1
95-th percentile213076.75
Maximum213731.52
Range7347.6857
Interquartile range (IQR)2314.8437

Descriptive statistics

Standard deviation1728.3326
Coefficient of variation (CV)0.0082178269
Kurtosis-0.76405934
Mean210315.04
Median Absolute Deviation (MAD)1151.4679
Skewness-0.1606915
Sum80971289
Variance2987133.5
MonotonicityNot monotonic
2024-05-11T08:30:12.470811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
207373.50021477 7
 
1.8%
210045.748264305 6
 
1.5%
208707.089897534 4
 
1.0%
208023.031380671 4
 
1.0%
210751.18619917 4
 
1.0%
212017.076709206 3
 
0.8%
207624.424720682 3
 
0.8%
211199.509258022 3
 
0.8%
211863.232149163 3
 
0.8%
207553.918225133 3
 
0.8%
Other values (303) 345
87.1%
(Missing) 11
 
2.8%
ValueCountFrequency (%)
206383.829438022 1
0.3%
206397.34797252 1
0.3%
206932.357872339 2
0.5%
206963.553667774 1
0.3%
207049.680448675 1
0.3%
207088.362380704 1
0.3%
207125.178244289 1
0.3%
207215.18162637 1
0.3%
207247.563537513 1
0.3%
207248.404515714 1
0.3%
ValueCountFrequency (%)
213731.515116567 1
0.3%
213590.521428662 1
0.3%
213489.673115375 1
0.3%
213424.039922307 2
0.5%
213422.552027501 2
0.5%
213405.461617094 1
0.3%
213364.733770795 1
0.3%
213317.766860452 1
0.3%
213278.14413528 1
0.3%
213217.762929912 1
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct313
Distinct (%)81.3%
Missing11
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean444493.34
Minimum441680.58
Maximum448406.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-05-11T08:30:13.039061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441680.58
5-th percentile442516.38
Q1443731.12
median444439.47
Q3445194.93
95-th percentile446516.63
Maximum448406.79
Range6726.2053
Interquartile range (IQR)1463.8115

Descriptive statistics

Standard deviation1211.1474
Coefficient of variation (CV)0.0027247818
Kurtosis0.96964452
Mean444493.34
Median Absolute Deviation (MAD)734.00189
Skewness0.52653479
Sum1.7112994 × 108
Variance1466877.9
MonotonicityNot monotonic
2024-05-11T08:30:13.661713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445545.656024061 7
 
1.8%
442930.687284628 6
 
1.5%
446299.352775446 4
 
1.0%
444353.600568204 4
 
1.0%
445063.773802445 4
 
1.0%
444222.753883853 3
 
0.8%
445533.439634339 3
 
0.8%
441680.580139573 3
 
0.8%
444763.027273625 3
 
0.8%
445383.338011122 3
 
0.8%
Other values (303) 345
87.1%
(Missing) 11
 
2.8%
ValueCountFrequency (%)
441680.580139573 3
0.8%
441703.846676865 2
0.5%
442017.346612303 1
 
0.3%
442116.0 1
 
0.3%
442179.0 2
0.5%
442265.126224845 1
 
0.3%
442314.5892384 1
 
0.3%
442328.447083979 1
 
0.3%
442347.12307516 1
 
0.3%
442366.025292141 1
 
0.3%
ValueCountFrequency (%)
448406.785482205 1
0.3%
448364.723368836 2
0.5%
448275.808769884 1
0.3%
448207.0991017 1
0.3%
447626.593822422 2
0.5%
447584.121239967 1
0.3%
447546.143097973 1
0.3%
447514.62005235 1
0.3%
447507.493855788 1
0.3%
447471.180557382 1
0.3%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
체육도장업
354 
<NA>
42 

Length

Max length5
Median length5
Mean length4.8939394
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체육도장업 354
89.4%
<NA> 42
 
10.6%

Length

2024-05-11T08:30:14.166530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:30:14.588608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육도장업 354
89.4%
na 42
 
10.6%

공사립구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
사립
354 
<NA>
42 

Length

Max length4
Median length2
Mean length2.2121212
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 354
89.4%
<NA> 42
 
10.6%

Length

2024-05-11T08:30:15.108687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:30:15.489508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 354
89.4%
na 42
 
10.6%

보험가입여부코드
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
<NA>
289 
0
106 
Y
 
1

Length

Max length4
Median length4
Mean length3.1893939
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 289
73.0%
0 106
 
26.8%
Y 1
 
0.3%

Length

2024-05-11T08:30:15.961469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:30:16.417015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 289
73.0%
0 106
 
26.8%
y 1
 
0.3%

지도자수
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
<NA>
262 
1
79 
0
52 
2
 
3

Length

Max length4
Median length4
Mean length2.9848485
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> 262
66.2%
1 79
 
19.9%
0 52
 
13.1%
2 3
 
0.8%

Length

2024-05-11T08:30:16.835632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:30:17.162601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 262
66.2%
1 79
 
19.9%
0 52
 
13.1%
2 3
 
0.8%

건축물동수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
<NA>
338 
0
57 
1
 
1

Length

Max length4
Median length4
Mean length3.5606061
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> 338
85.4%
0 57
 
14.4%
1 1
 
0.3%

Length

2024-05-11T08:30:17.567987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:30:17.944356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 338
85.4%
0 57
 
14.4%
1 1
 
0.3%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct139
Distinct (%)70.2%
Missing198
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean3784.5804
Minimum0
Maximum76448.64
Zeros45
Zeros (%)11.4%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-05-11T08:30:18.515312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1373.35
median903.28
Q31597.9375
95-th percentile20766.86
Maximum76448.64
Range76448.64
Interquartile range (IQR)1224.5875

Descriptive statistics

Standard deviation9138.1735
Coefficient of variation (CV)2.4145804
Kurtosis24.297444
Mean3784.5804
Median Absolute Deviation (MAD)678.61
Skewness4.3469689
Sum749346.91
Variance83506216
MonotonicityNot monotonic
2024-05-11T08:30:19.040130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 45
 
11.4%
1130.94 3
 
0.8%
17516.44 3
 
0.8%
916.47 2
 
0.5%
985.39 2
 
0.5%
886.61 2
 
0.5%
30645.75 2
 
0.5%
957.78 2
 
0.5%
6773.44 2
 
0.5%
1430.1 2
 
0.5%
Other values (129) 133
33.6%
(Missing) 198
50.0%
ValueCountFrequency (%)
0.0 45
11.4%
84.0 1
 
0.3%
91.58 1
 
0.3%
204.14 1
 
0.3%
350.45 1
 
0.3%
357.4 1
 
0.3%
421.2 1
 
0.3%
450.31 1
 
0.3%
451.03 1
 
0.3%
453.9 1
 
0.3%
ValueCountFrequency (%)
76448.64 1
0.3%
45768.27 1
0.3%
39190.94 2
0.5%
30645.75 2
0.5%
26095.87 1
0.3%
25539.44 1
0.3%
25165.67 2
0.5%
19990.6 1
0.3%
19685.55 1
0.3%
19271.67 1
0.3%

회원모집총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
<NA>
382 
0
 
14

Length

Max length4
Median length4
Mean length3.8939394
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> 382
96.5%
0 14
 
3.5%

Length

2024-05-11T08:30:19.686857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:30:20.074111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 382
96.5%
0 14
 
3.5%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03230000CDFH330102198900000119891109<NA>3폐업3폐업20080620<NA><NA><NA>403-8677<NA>138200서울특별시 송파구 문정동 136-26번지서울특별시 송파구 송이로31길 24 (문정동)<NA>성심태권도2008-06-20 15:51:22I2018-08-31 23:59:59.0<NA>211723.256539443049.049587체육도장업사립0<NA><NA><NA><NA><NA><NA>
13230000CDFH330102198900000219891220<NA>3폐업3폐업20070115<NA><NA><NA>423-2446<NA>138839서울특별시 송파구 삼전동 101-16번지서울특별시 송파구 백제고분로 245 (삼전동)<NA>삼전원도체육관2007-01-15 17:03:18I2018-08-31 23:59:59.0<NA>208243.42597444529.197328체육도장업사립0<NA><NA><NA><NA><NA><NA>
23230000CDFH330102198900000319891222<NA>3폐업3폐업20080430<NA><NA><NA>416-0550<NA>138240서울특별시 송파구 신천동 11-0번지 장미c상가 503호서울특별시 송파구 오금로 20, 503호 (신천동,장미c상가)<NA>천마 검도체육관2008-05-19 16:18:16I2018-08-31 23:59:59.0<NA>209001.844837446426.814182체육도장업사립0<NA><NA><NA><NA><NA><NA>
33230000CDFH330102198900000419891223<NA>3폐업3폐업20091230<NA><NA><NA>408-2389<NA>138812서울특별시 송파구 가락동 194-7번지서울특별시 송파구 오금로44길 48 (가락동)<NA>SOMA종합체육관2009-12-30 15:46:04I2018-08-31 23:59:59.0<NA>211643.343769443574.144899체육도장업사립0<NA><NA><NA><NA><NA><NA>
43230000CDFH330102198900000519891223<NA>3폐업3폐업20030429<NA><NA><NA><NA><NA>138200서울특별시 송파구 문정동 31-1번지 ,2서울특별시 송파구 동남로4길 27 (문정동,,2)<NA>문정태권도2003-11-20 15:09:32I2018-08-31 23:59:59.0<NA>210982.298142442853.754043체육도장업사립0<NA><NA><NA><NA><NA><NA>
53230000CDFH330102198900000619891223<NA>3폐업3폐업20060523<NA><NA><NA>406-1588<NA>138200서울특별시 송파구 문정동 150-0번지 훼미리상가서울특별시 송파구 중대로 24 (문정동,훼미리상가)<NA>훼밀리월드체육관2006-07-11 17:01:50I2018-08-31 23:59:59.0<NA>210045.748264442930.687285체육도장업사립0<NA><NA><NA><NA><NA><NA>
63230000CDFH330102198900000719891223<NA>3폐업3폐업19990602<NA><NA><NA><NA><NA>138859서울특별시 송파구 오금동 151-5번지서울특별시 송파구 동남로 274 (오금동)<NA>엄지태권도2003-02-17 15:15:04I2018-08-31 23:59:59.0<NA>212017.076709444222.753884체육도장업사립<NA>000.0<NA><NA><NA>
73230000CDFH330102198900000819891223<NA>3폐업3폐업20030529<NA><NA><NA><NA><NA>138851서울특별시 송파구 송파동 133-3번지서울특별시 송파구 백제고분로44길 3 (송파동)<NA>청호태권도2003-11-20 15:26:54I2018-08-31 23:59:59.0<NA>209763.926604445061.829901체육도장업사립0<NA><NA><NA><NA><NA><NA>
83230000CDFH330102198900000919891223<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 풍납동 506번지 동아한가람아파트서울특별시 송파구 한가람로16길 7, 205,206호 (풍납동)5516용인대 태권도장2019-03-20 09:17:19U2019-03-22 02:40:00.0태권도210149.266347448364.723369체육도장업사립<NA><NA><NA>350.45<NA><NA><NA>
93230000CDFH330102198900001019891223<NA>1영업/정상13영업중<NA><NA><NA><NA>423-1920<NA>138892서울특별시 송파구 잠실동 101-1번지 상가서울특별시 송파구 올림픽로4길 40 (잠실동)5571통일태권도장2017-12-26 10:06:24I2018-08-31 23:59:59.0태권도206397.347973444963.233863체육도장업사립<NA><NA><NA>11674.45<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
3863230000CDFH33010220220000082022-11-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 913 헬리오시티 1A동 2층 2058,2059호서울특별시 송파구 송파대로 345, 1A동 2층 2058,2059호 (가락동, 헬리오시티)5698스카이 스포츠 태권도장(SKY SPORTS&TKD)2024-04-08 17:47:33U2023-12-03 23:00:00.0태권도209412.19781443928.783342<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3873230000CDFH330102202200000920221226<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 오금동 126-4 4층서울특별시 송파구 동남로 313, 4층 (오금동)5729Bee Boxing Gym2022-12-26 17:39:41I2021-11-01 22:08:00.0권투212128.882992444585.171282<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3883230000CDFH330102202300000120230112<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 잠실동 209-1 302호서울특별시 송파구 석촌호수로 82, 302호 (잠실동)5564용인대 엘리트 태권도2023-01-12 13:59:59I2022-11-30 23:04:00.0태권도207570.386768445196.556252<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3893230000CDFH33010220230000022023-03-20<NA>1영업/정상13영업중<NA><NA><NA><NA>02-412-9186<NA><NA>서울특별시 송파구 가락동 174-23서울특별시 송파구 오금로46길 16-1, 지하 1층 (가락동)5769ITF 태권도 송파도장2023-03-20 09:05:54I2022-12-02 22:02:00.0태권도211891.949025443767.581006<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3903230000CDFH33010220230000032023-04-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 마천동 158-2 영인빌딩서울특별시 송파구 성내천로 223, 영인빌딩 (마천동)5746효 파워 점핑2023-04-12 17:49:04I2022-12-03 23:04:00.0태권도213422.552028444190.950636<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3913230000CDFH33010220230000042023-06-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 삼전동 131-5 서울빌딩서울특별시 송파구 삼학사로 81, 서울빌딩 지하1층 (삼전동)5602륜태권도장 (잠실점)2023-06-07 11:05:51I2022-12-06 00:09:00.0태권도208496.260054444695.959467<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3923230000CDFH33010220230000062023-11-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2203-8212<NA><NA>서울특별시 송파구 석촌동 158-2서울특별시 송파구 석촌호수로 220, 지하3층 (석촌동)5610원투복싱핏2023-11-02 10:11:45I2022-11-01 00:04:00.0권투208888.204631444985.075379<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3933230000CDFH33010220230000072023-12-14<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8065-2468<NA><NA>서울특별시 송파구 석촌동 296-10 형제빌딩서울특별시 송파구 송파대로 381, 형제빌딩 지하1층 (석촌동)5697그래플링 라운지2024-05-09 14:36:47U2023-12-04 23:01:00.0레슬링209671.654798444361.190086<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3943230000CDFH33010220230000082023-12-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 652-5 문정아이파크서울특별시 송파구 법원로4길 6, 문정아이파크 321호 (문정동)5855위스타트 복싱2023-12-22 09:16:57I2022-11-01 22:04:00.0권투<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3953230000CDFH33010220240000012024-03-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-406-9004<NA><NA>서울특별시 송파구 거여동 35-12 지하1층서울특별시 송파구 거마로2길 30-1, 지하1층 (거여동)5768강무관 거여 무도 멀티짐2024-03-28 14:16:01I2023-12-02 21:00:00.0합기도213021.957757443457.873324<NA><NA><NA><NA><NA><NA><NA><NA><NA>