Overview

Dataset statistics

Number of variables34
Number of observations246
Missing cells2257
Missing cells (%)27.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory69.1 KiB
Average record size in memory287.5 B

Variable types

Categorical13
Text6
DateTime6
Unsupported5
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
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-19847/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 has constant value ""Constant
휴업종료일자 has constant value ""Constant
보험가입여부코드 is highly imbalanced (70.1%)Imbalance
회원모집총인원 is highly imbalanced (83.5%)Imbalance
인허가취소일자 has 246 (100.0%) missing valuesMissing
폐업일자 has 103 (41.9%) missing valuesMissing
휴업시작일자 has 245 (99.6%) missing valuesMissing
휴업종료일자 has 245 (99.6%) missing valuesMissing
재개업일자 has 246 (100.0%) missing valuesMissing
전화번호 has 107 (43.5%) missing valuesMissing
소재지면적 has 246 (100.0%) missing valuesMissing
소재지우편번호 has 82 (33.3%) missing valuesMissing
도로명주소 has 9 (3.7%) missing valuesMissing
도로명우편번호 has 128 (52.0%) missing valuesMissing
좌표정보(X) has 7 (2.8%) missing valuesMissing
좌표정보(Y) has 7 (2.8%) missing valuesMissing
건축물연면적 has 94 (38.2%) missing valuesMissing
세부업종명 has 246 (100.0%) missing valuesMissing
법인명 has 246 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 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 (18.3%) zerosZeros

Reproduction

Analysis started2024-05-17 23:35:02.488441
Analysis finished2024-05-17 23:35:03.664911
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
3200000
246 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3200000
2nd row3200000
3rd row3200000
4th row3200000
5th row3200000

Common Values

ValueCountFrequency (%)
3200000 246
100.0%

Length

2024-05-18T08:35:03.808733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:35:04.017470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3200000 246
100.0%

관리번호
Text

UNIQUE 

Distinct246
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-05-18T08:35:04.304641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters4920
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

Unique246 ?
Unique (%)100.0%

Sample

1st rowCDFH3301021971000001
2nd rowCDFH3301021976000001
3rd rowCDFH3301021977000001
4th rowCDFH3301021977000002
5th rowCDFH3301021979000001
ValueCountFrequency (%)
cdfh3301021971000001 1
 
0.4%
cdfh3301022009000003 1
 
0.4%
cdfh3301022009000005 1
 
0.4%
cdfh3301022009000006 1
 
0.4%
cdfh3301022009000007 1
 
0.4%
cdfh3301022009000008 1
 
0.4%
cdfh3301022009000009 1
 
0.4%
cdfh3301022009000010 1
 
0.4%
cdfh3301022010000001 1
 
0.4%
cdfh3301022010000002 1
 
0.4%
Other values (236) 236
95.9%
2024-05-18T08:35:05.104717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2003
40.7%
3 545
 
11.1%
2 494
 
10.0%
1 466
 
9.5%
C 246
 
5.0%
D 246
 
5.0%
F 246
 
5.0%
H 246
 
5.0%
9 172
 
3.5%
4 58
 
1.2%
Other values (4) 198
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3936
80.0%
Uppercase Letter 984
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2003
50.9%
3 545
 
13.8%
2 494
 
12.6%
1 466
 
11.8%
9 172
 
4.4%
4 58
 
1.5%
8 52
 
1.3%
5 50
 
1.3%
7 49
 
1.2%
6 47
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
C 246
25.0%
D 246
25.0%
F 246
25.0%
H 246
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3936
80.0%
Latin 984
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2003
50.9%
3 545
 
13.8%
2 494
 
12.6%
1 466
 
11.8%
9 172
 
4.4%
4 58
 
1.5%
8 52
 
1.3%
5 50
 
1.3%
7 49
 
1.2%
6 47
 
1.2%
Latin
ValueCountFrequency (%)
C 246
25.0%
D 246
25.0%
F 246
25.0%
H 246
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4920
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2003
40.7%
3 545
 
11.1%
2 494
 
10.0%
1 466
 
9.5%
C 246
 
5.0%
D 246
 
5.0%
F 246
 
5.0%
H 246
 
5.0%
9 172
 
3.5%
4 58
 
1.2%
Other values (4) 198
 
4.0%

인허가일자
Date

Distinct237
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum1971-05-20 00:00:00
Maximum2024-03-18 00:00:00
2024-05-18T08:35:05.475532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:35:05.884526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing246
Missing (%)100.0%
Memory size2.3 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
1
102 
3
88 
4
55 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
1 102
41.5%
3 88
35.8%
4 55
22.4%
2 1
 
0.4%

Length

2024-05-18T08:35:06.295079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:35:06.603621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 102
41.5%
3 88
35.8%
4 55
22.4%
2 1
 
0.4%

영업상태명
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
영업/정상
102 
폐업
88 
취소/말소/만료/정지/중지
55 
휴업
 
1

Length

Max length14
Median length5
Mean length5.9268293
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 102
41.5%
폐업 88
35.8%
취소/말소/만료/정지/중지 55
22.4%
휴업 1
 
0.4%

Length

2024-05-18T08:35:06.967505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:35:07.284337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 102
41.5%
폐업 88
35.8%
취소/말소/만료/정지/중지 55
22.4%
휴업 1
 
0.4%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
13
102 
3
88 
35
55 
2
 
1

Length

Max length2
Median length2
Mean length1.6382114
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
13 102
41.5%
3 88
35.8%
35 55
22.4%
2 1
 
0.4%

Length

2024-05-18T08:35:07.557445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:35:07.742242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 102
41.5%
3 88
35.8%
35 55
22.4%
2 1
 
0.4%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
영업중
102 
폐업
88 
직권말소
55 
휴업
 
1

Length

Max length4
Median length3
Mean length2.8617886
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 102
41.5%
폐업 88
35.8%
직권말소 55
22.4%
휴업 1
 
0.4%

Length

2024-05-18T08:35:08.000843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:35:08.201641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 102
41.5%
폐업 88
35.8%
직권말소 55
22.4%
휴업 1
 
0.4%

폐업일자
Date

MISSING 

Distinct98
Distinct (%)68.5%
Missing103
Missing (%)41.9%
Memory size2.1 KiB
Minimum1996-08-07 00:00:00
Maximum2023-04-30 00:00:00
2024-05-18T08:35:08.463201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:35:08.877362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing245
Missing (%)99.6%
Memory size2.1 KiB
Minimum2023-05-09 00:00:00
Maximum2023-05-09 00:00:00
2024-05-18T08:35:09.217079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:35:09.503535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

휴업종료일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing245
Missing (%)99.6%
Memory size2.1 KiB
Minimum2024-12-31 00:00:00
Maximum2024-12-31 00:00:00
2024-05-18T08:35:09.793605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:35:10.065081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing246
Missing (%)100.0%
Memory size2.3 KiB

전화번호
Text

MISSING 

Distinct135
Distinct (%)97.1%
Missing107
Missing (%)43.5%
Memory size2.1 KiB
2024-05-18T08:35:10.532410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.388489
Min length8

Characters and Unicode

Total characters1444
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

Unique131 ?
Unique (%)94.2%

Sample

1st row02-874-2502
2nd row02-882-1349
3rd row02-878-0066
4th row02-889-6026
5th row02-856-7250
ValueCountFrequency (%)
830-5999 2
 
1.4%
873-1888 2
 
1.4%
865-5777 2
 
1.4%
02-878-1118 2
 
1.4%
888-3882 1
 
0.7%
854-1273 1
 
0.7%
853-0439 1
 
0.7%
02-878-1282 1
 
0.7%
883-6546 1
 
0.7%
02-865-2919 1
 
0.7%
Other values (125) 125
89.9%
2024-05-18T08:35:11.421963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 253
17.5%
- 246
17.0%
2 184
12.7%
0 177
12.3%
7 121
8.4%
5 93
 
6.4%
6 79
 
5.5%
1 75
 
5.2%
3 74
 
5.1%
4 72
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1198
83.0%
Dash Punctuation 246
 
17.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 253
21.1%
2 184
15.4%
0 177
14.8%
7 121
10.1%
5 93
 
7.8%
6 79
 
6.6%
1 75
 
6.3%
3 74
 
6.2%
4 72
 
6.0%
9 70
 
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 246
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1444
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 253
17.5%
- 246
17.0%
2 184
12.7%
0 177
12.3%
7 121
8.4%
5 93
 
6.4%
6 79
 
5.5%
1 75
 
5.2%
3 74
 
5.1%
4 72
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1444
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 253
17.5%
- 246
17.0%
2 184
12.7%
0 177
12.3%
7 121
8.4%
5 93
 
6.4%
6 79
 
5.5%
1 75
 
5.2%
3 74
 
5.1%
4 72
 
5.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing246
Missing (%)100.0%
Memory size2.3 KiB

소재지우편번호
Text

MISSING 

Distinct75
Distinct (%)45.7%
Missing82
Missing (%)33.3%
Memory size2.1 KiB
2024-05-18T08:35:11.932152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0365854
Min length6

Characters and Unicode

Total characters990
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)23.8%

Sample

1st row151015
2nd row151810
3rd row151849
4th row151841
5th row151861
ValueCountFrequency (%)
151015 16
 
9.8%
151050 14
 
8.5%
151899 6
 
3.7%
151894 6
 
3.7%
151895 5
 
3.0%
151849 4
 
2.4%
151901 4
 
2.4%
151848 4
 
2.4%
151898 4
 
2.4%
151871 3
 
1.8%
Other values (65) 98
59.8%
2024-05-18T08:35:12.580566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 377
38.1%
5 216
21.8%
8 126
 
12.7%
0 81
 
8.2%
9 64
 
6.5%
4 31
 
3.1%
3 29
 
2.9%
7 23
 
2.3%
2 20
 
2.0%
6 17
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 984
99.4%
Dash Punctuation 6
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 377
38.3%
5 216
22.0%
8 126
 
12.8%
0 81
 
8.2%
9 64
 
6.5%
4 31
 
3.2%
3 29
 
2.9%
7 23
 
2.3%
2 20
 
2.0%
6 17
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 990
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 377
38.1%
5 216
21.8%
8 126
 
12.7%
0 81
 
8.2%
9 64
 
6.5%
4 31
 
3.1%
3 29
 
2.9%
7 23
 
2.3%
2 20
 
2.0%
6 17
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 990
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 377
38.1%
5 216
21.8%
8 126
 
12.7%
0 81
 
8.2%
9 64
 
6.5%
4 31
 
3.1%
3 29
 
2.9%
7 23
 
2.3%
2 20
 
2.0%
6 17
 
1.7%

지번주소
Text

Distinct237
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-05-18T08:35:13.194541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length39
Mean length25.182927
Min length19

Characters and Unicode

Total characters6195
Distinct characters106
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

Unique229 ?
Unique (%)93.1%

Sample

1st row서울특별시 관악구 봉천동 463-1
2nd row서울특별시 관악구 신림동 637-1번지
3rd row서울특별시 관악구 봉천동 1636-21 지하1층, 3층
4th row서울특별시 관악구 봉천동 937-1번지 은천스포렉스
5th row서울특별시 관악구 봉천동 705-1
ValueCountFrequency (%)
서울특별시 246
21.0%
관악구 246
21.0%
신림동 138
 
11.8%
봉천동 104
 
8.9%
3층 25
 
2.1%
2층 21
 
1.8%
4층 14
 
1.2%
지층 9
 
0.8%
상가동 8
 
0.7%
지하1층 7
 
0.6%
Other values (305) 353
30.1%
2024-05-18T08:35:14.030085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1127
18.2%
1 309
 
5.0%
동 262
 
4.2%
관 254
 
4.1%
악 254
 
4.1%
시 249
 
4.0%
서 246
 
4.0%
구 246
 
4.0%
울 246
 
4.0%
별 246
 
4.0%
Other values (96) 2756
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3429
55.4%
Decimal Number 1381
22.3%
Space Separator 1127
 
18.2%
Dash Punctuation 228
 
3.7%
Uppercase Letter 9
 
0.1%
Close Punctuation 7
 
0.1%
Open Punctuation 7
 
0.1%
Other Punctuation 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 262
 
7.6%
관 254
 
7.4%
악 254
 
7.4%
시 249
 
7.3%
서 246
 
7.2%
구 246
 
7.2%
울 246
 
7.2%
별 246
 
7.2%
특 246
 
7.2%
지 165
 
4.8%
Other values (76) 1015
29.6%
Decimal Number
ValueCountFrequency (%)
1 309
22.4%
2 153
11.1%
4 153
11.1%
3 137
9.9%
6 132
9.6%
5 129
9.3%
0 113
 
8.2%
7 103
 
7.5%
9 80
 
5.8%
8 72
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
A 5
55.6%
B 2
 
22.2%
P 1
 
11.1%
T 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 6
85.7%
? 1
 
14.3%
Space Separator
ValueCountFrequency (%)
1127
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 228
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3429
55.4%
Common 2757
44.5%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 262
 
7.6%
관 254
 
7.4%
악 254
 
7.4%
시 249
 
7.3%
서 246
 
7.2%
구 246
 
7.2%
울 246
 
7.2%
별 246
 
7.2%
특 246
 
7.2%
지 165
 
4.8%
Other values (76) 1015
29.6%
Common
ValueCountFrequency (%)
1127
40.9%
1 309
 
11.2%
- 228
 
8.3%
2 153
 
5.5%
4 153
 
5.5%
3 137
 
5.0%
6 132
 
4.8%
5 129
 
4.7%
0 113
 
4.1%
7 103
 
3.7%
Other values (6) 173
 
6.3%
Latin
ValueCountFrequency (%)
A 5
55.6%
B 2
 
22.2%
P 1
 
11.1%
T 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3429
55.4%
ASCII 2766
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1127
40.7%
1 309
 
11.2%
- 228
 
8.2%
2 153
 
5.5%
4 153
 
5.5%
3 137
 
5.0%
6 132
 
4.8%
5 129
 
4.7%
0 113
 
4.1%
7 103
 
3.7%
Other values (10) 182
 
6.6%
Hangul
ValueCountFrequency (%)
동 262
 
7.6%
관 254
 
7.4%
악 254
 
7.4%
시 249
 
7.3%
서 246
 
7.2%
구 246
 
7.2%
울 246
 
7.2%
별 246
 
7.2%
특 246
 
7.2%
지 165
 
4.8%
Other values (76) 1015
29.6%

도로명주소
Text

MISSING 

Distinct228
Distinct (%)96.2%
Missing9
Missing (%)3.7%
Memory size2.1 KiB
2024-05-18T08:35:14.574813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length48
Mean length28.586498
Min length22

Characters and Unicode

Total characters6775
Distinct characters138
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

Unique219 ?
Unique (%)92.4%

Sample

1st row서울특별시 관악구 은천로 110 (봉천동, 더블유에스타워)
2nd row서울특별시 관악구 인헌6길 24, 지하1층, 3층 (봉천동)
3rd row서울특별시 관악구 은천로11길 7, 은천스포렉스 (봉천동)
4th row서울특별시 관악구 당곡길 22, 2층 (봉천동)
5th row서울특별시 관악구 청림2길 36 (봉천동)
ValueCountFrequency (%)
서울특별시 237
17.6%
관악구 237
17.6%
신림동 99
 
7.3%
봉천동 85
 
6.3%
2층 25
 
1.9%
남부순환로 24
 
1.8%
난곡로 21
 
1.6%
3층 18
 
1.3%
신림로 18
 
1.3%
4층 13
 
1.0%
Other values (319) 573
42.4%
2024-05-18T08:35:15.563583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1156
 
17.1%
관 268
 
4.0%
악 262
 
3.9%
동 252
 
3.7%
( 243
 
3.6%
) 243
 
3.6%
시 241
 
3.6%
구 239
 
3.5%
서 239
 
3.5%
별 237
 
3.5%
Other values (128) 3395
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3971
58.6%
Space Separator 1156
 
17.1%
Decimal Number 967
 
14.3%
Open Punctuation 243
 
3.6%
Close Punctuation 243
 
3.6%
Other Punctuation 181
 
2.7%
Dash Punctuation 11
 
0.2%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 268
 
6.7%
악 262
 
6.6%
동 252
 
6.3%
시 241
 
6.1%
구 239
 
6.0%
서 239
 
6.0%
별 237
 
6.0%
특 237
 
6.0%
울 237
 
6.0%
로 187
 
4.7%
Other values (110) 1572
39.6%
Decimal Number
ValueCountFrequency (%)
1 211
21.8%
2 154
15.9%
3 130
13.4%
0 95
9.8%
4 94
9.7%
6 73
 
7.5%
5 70
 
7.2%
7 62
 
6.4%
8 47
 
4.9%
9 31
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 179
98.9%
? 2
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
A 2
66.7%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
1156
100.0%
Open Punctuation
ValueCountFrequency (%)
( 243
100.0%
Close Punctuation
ValueCountFrequency (%)
) 243
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3971
58.6%
Common 2801
41.3%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 268
 
6.7%
악 262
 
6.6%
동 252
 
6.3%
시 241
 
6.1%
구 239
 
6.0%
서 239
 
6.0%
별 237
 
6.0%
특 237
 
6.0%
울 237
 
6.0%
로 187
 
4.7%
Other values (110) 1572
39.6%
Common
ValueCountFrequency (%)
1156
41.3%
( 243
 
8.7%
) 243
 
8.7%
1 211
 
7.5%
, 179
 
6.4%
2 154
 
5.5%
3 130
 
4.6%
0 95
 
3.4%
4 94
 
3.4%
6 73
 
2.6%
Other values (6) 223
 
8.0%
Latin
ValueCountFrequency (%)
A 2
66.7%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3971
58.6%
ASCII 2804
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1156
41.2%
( 243
 
8.7%
) 243
 
8.7%
1 211
 
7.5%
, 179
 
6.4%
2 154
 
5.5%
3 130
 
4.6%
0 95
 
3.4%
4 94
 
3.4%
6 73
 
2.6%
Other values (8) 226
 
8.1%
Hangul
ValueCountFrequency (%)
관 268
 
6.7%
악 262
 
6.6%
동 252
 
6.3%
시 241
 
6.1%
구 239
 
6.0%
서 239
 
6.0%
별 237
 
6.0%
특 237
 
6.0%
울 237
 
6.0%
로 187
 
4.7%
Other values (110) 1572
39.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct78
Distinct (%)66.1%
Missing128
Missing (%)52.0%
Infinite0
Infinite (%)0.0%
Mean16031.051
Minimum8704
Maximum151848
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-05-18T08:35:15.815545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8704
5-th percentile8714.4
Q18750
median8784
Q38838.75
95-th percentile30188.35
Maximum151848
Range143144
Interquartile range (IQR)88.75

Descriptive statistics

Standard deviation31444.202
Coefficient of variation (CV)1.9614561
Kurtosis15.416692
Mean16031.051
Median Absolute Deviation (MAD)44
Skewness4.1419124
Sum1891664
Variance9.8873785 × 108
MonotonicityNot monotonic
2024-05-18T08:35:16.203120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8859 6
 
2.4%
8750 5
 
2.0%
8729 4
 
1.6%
8785 3
 
1.2%
151050 3
 
1.2%
8784 3
 
1.2%
8845 3
 
1.2%
8793 3
 
1.2%
8833 2
 
0.8%
8770 2
 
0.8%
Other values (68) 84
34.1%
(Missing) 128
52.0%
ValueCountFrequency (%)
8704 2
0.8%
8705 1
0.4%
8707 1
0.4%
8710 1
0.4%
8711 1
0.4%
8715 1
0.4%
8716 1
0.4%
8717 1
0.4%
8719 1
0.4%
8725 2
0.8%
ValueCountFrequency (%)
151848 1
 
0.4%
151835 1
 
0.4%
151050 3
1.2%
151015 1
 
0.4%
8866 1
 
0.4%
8865 1
 
0.4%
8864 1
 
0.4%
8862 1
 
0.4%
8859 6
2.4%
8858 2
 
0.8%

사업장명
Text

Distinct233
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-05-18T08:35:16.576945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length15
Mean length7.3495935
Min length2

Characters and Unicode

Total characters1808
Distinct characters232
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

Unique221 ?
Unique (%)89.8%

Sample

1st row태권도 무림 체육관
2nd row남부체육도장
3rd row대호체육도장
4th row은천태권도장
5th row한국체대 당곡태권도장
ValueCountFrequency (%)
태권도 25
 
6.7%
태권도장 11
 
2.9%
체육관 10
 
2.7%
경희대 10
 
2.7%
용인대 10
 
2.7%
석사 5
 
1.3%
복싱 4
 
1.1%
관악검도관 3
 
0.8%
검도관 3
 
0.8%
특공무술 3
 
0.8%
Other values (260) 291
77.6%
2024-05-18T08:35:17.477428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 158
 
8.7%
129
 
7.1%
권 126
 
7.0%
태 124
 
6.9%
관 107
 
5.9%
체 83
 
4.6%
육 78
 
4.3%
대 53
 
2.9%
장 42
 
2.3%
복 25
 
1.4%
Other values (222) 883
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1621
89.7%
Space Separator 129
 
7.1%
Uppercase Letter 45
 
2.5%
Decimal Number 8
 
0.4%
Other Punctuation 2
 
0.1%
Lowercase Letter 1
 
0.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 158
 
9.7%
권 126
 
7.8%
태 124
 
7.6%
관 107
 
6.6%
체 83
 
5.1%
육 78
 
4.8%
대 53
 
3.3%
장 42
 
2.6%
복 25
 
1.5%
희 24
 
1.5%
Other values (196) 801
49.4%
Uppercase Letter
ValueCountFrequency (%)
T 7
15.6%
M 6
13.3%
J 4
8.9%
B 4
8.9%
S 3
 
6.7%
A 3
 
6.7%
O 3
 
6.7%
N 2
 
4.4%
P 2
 
4.4%
I 2
 
4.4%
Other values (8) 9
20.0%
Decimal Number
ValueCountFrequency (%)
2 6
75.0%
1 2
 
25.0%
Other Punctuation
ValueCountFrequency (%)
' 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
129
100.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1621
89.7%
Common 141
 
7.8%
Latin 46
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 158
 
9.7%
권 126
 
7.8%
태 124
 
7.6%
관 107
 
6.6%
체 83
 
5.1%
육 78
 
4.8%
대 53
 
3.3%
장 42
 
2.6%
복 25
 
1.5%
희 24
 
1.5%
Other values (196) 801
49.4%
Latin
ValueCountFrequency (%)
T 7
15.2%
M 6
13.0%
J 4
 
8.7%
B 4
 
8.7%
S 3
 
6.5%
A 3
 
6.5%
O 3
 
6.5%
N 2
 
4.3%
P 2
 
4.3%
I 2
 
4.3%
Other values (9) 10
21.7%
Common
ValueCountFrequency (%)
129
91.5%
2 6
 
4.3%
1 2
 
1.4%
' 1
 
0.7%
. 1
 
0.7%
) 1
 
0.7%
( 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1621
89.7%
ASCII 187
 
10.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 158
 
9.7%
권 126
 
7.8%
태 124
 
7.6%
관 107
 
6.6%
체 83
 
5.1%
육 78
 
4.8%
대 53
 
3.3%
장 42
 
2.6%
복 25
 
1.5%
희 24
 
1.5%
Other values (196) 801
49.4%
ASCII
ValueCountFrequency (%)
129
69.0%
T 7
 
3.7%
2 6
 
3.2%
M 6
 
3.2%
J 4
 
2.1%
B 4
 
2.1%
S 3
 
1.6%
A 3
 
1.6%
O 3
 
1.6%
N 2
 
1.1%
Other values (16) 20
 
10.7%

최종수정일자
Date

Distinct241
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2003-02-06 10:45:13
Maximum2024-03-18 16:57:30
2024-05-18T08:35:17.786036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:35:18.251105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
I
126 
U
120 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 126
51.2%
U 120
48.8%

Length

2024-05-18T08:35:18.604447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:35:18.868850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 126
51.2%
u 120
48.8%

데이터갱신일자
Date

Distinct73
Distinct (%)29.7%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:06:00
2024-05-18T08:35:19.075333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:35:19.342942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct7
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
115 
태권도
75 
권투
29 
검도
 
9
합기도
 
9
Other values (2)
 
9

Length

Max length4
Median length3
Mean length3.2926829
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 115
46.7%
태권도 75
30.5%
권투 29
 
11.8%
검도 9
 
3.7%
합기도 9
 
3.7%
유도 5
 
2.0%
레슬링 4
 
1.6%

Length

2024-05-18T08:35:19.783529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:35:20.434598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 115
46.7%
태권도 75
30.5%
권투 29
 
11.8%
검도 9
 
3.7%
합기도 9
 
3.7%
유도 5
 
2.0%
레슬링 4
 
1.6%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct196
Distinct (%)82.0%
Missing7
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean194123.82
Minimum191256.9
Maximum197911.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-05-18T08:35:20.857083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191256.9
5-th percentile192026.13
Q1192789.24
median193988.52
Q3195224.27
95-th percentile196664.39
Maximum197911.11
Range6654.2087
Interquartile range (IQR)2435.0297

Descriptive statistics

Standard deviation1510.6579
Coefficient of variation (CV)0.0077819293
Kurtosis-0.76457882
Mean194123.82
Median Absolute Deviation (MAD)1211.9013
Skewness0.30875825
Sum46395594
Variance2282087.2
MonotonicityNot monotonic
2024-05-18T08:35:21.346943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192276.189896606 4
 
1.6%
192458.239757393 4
 
1.6%
195563.161650411 3
 
1.2%
192776.616339772 3
 
1.2%
194173.966563455 3
 
1.2%
194446.592203678 3
 
1.2%
192663.527705712 2
 
0.8%
194549.855880643 2
 
0.8%
196350.708293561 2
 
0.8%
193525.747185347 2
 
0.8%
Other values (186) 211
85.8%
(Missing) 7
 
2.8%
ValueCountFrequency (%)
191256.899646094 1
0.4%
191278.82541331 1
0.4%
191326.542622821 1
0.4%
191469.913061065 1
0.4%
191486.804868079 1
0.4%
191555.027049753 1
0.4%
191855.407522532 1
0.4%
191970.861735853 1
0.4%
191976.555027584 2
0.8%
192006.899368691 1
0.4%
ValueCountFrequency (%)
197911.108311542 1
0.4%
197857.791841349 1
0.4%
197758.440184962 1
0.4%
197531.406781961 1
0.4%
197148.658582886 1
0.4%
196986.685 1
0.4%
196955.001439946 1
0.4%
196927.332458179 1
0.4%
196917.0910135 2
0.8%
196892.414715366 1
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct196
Distinct (%)82.0%
Missing7
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean441901.93
Minimum439663.59
Maximum443341.38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-05-18T08:35:21.777995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439663.59
5-th percentile440257.41
Q1441368.6
median441967.08
Q3442531.41
95-th percentile443064.44
Maximum443341.38
Range3677.7939
Interquartile range (IQR)1162.8182

Descriptive statistics

Standard deviation833.96291
Coefficient of variation (CV)0.0018872127
Kurtosis-0.1134776
Mean441901.93
Median Absolute Deviation (MAD)565.35689
Skewness-0.63823959
Sum1.0561456 × 108
Variance695494.14
MonotonicityNot monotonic
2024-05-18T08:35:22.279166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
441345.350604668 4
 
1.6%
441774.679423362 4
 
1.6%
443064.437566493 3
 
1.2%
440317.168618377 3
 
1.2%
440967.47535987 3
 
1.2%
442733.263963184 3
 
1.2%
442751.161847699 2
 
0.8%
442692.168876254 2
 
0.8%
442532.440501316 2
 
0.8%
441888.191929882 2
 
0.8%
Other values (186) 211
85.8%
(Missing) 7
 
2.8%
ValueCountFrequency (%)
439663.585570958 1
0.4%
439787.715563055 2
0.8%
439816.999224208 1
0.4%
439825.822160271 1
0.4%
439853.488919065 1
0.4%
440052.064328254 1
0.4%
440065.059366816 2
0.8%
440135.318262207 2
0.8%
440200.203716349 1
0.4%
440263.768319604 1
0.4%
ValueCountFrequency (%)
443341.379446435 2
0.8%
443314.941516933 2
0.8%
443273.487218185 1
 
0.4%
443222.909490084 1
 
0.4%
443195.528279386 1
 
0.4%
443166.848549728 1
 
0.4%
443121.300653369 1
 
0.4%
443087.321987012 1
 
0.4%
443064.437566493 3
1.2%
443044.700996218 1
 
0.4%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
체육도장업
215 
<NA>
31 

Length

Max length5
Median length5
Mean length4.8739837
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체육도장업 215
87.4%
<NA> 31
 
12.6%

Length

2024-05-18T08:35:22.747002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:35:23.028685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육도장업 215
87.4%
na 31
 
12.6%

공사립구분명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
사립
215 
<NA>
31 

Length

Max length4
Median length2
Mean length2.2520325
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 215
87.4%
<NA> 31
 
12.6%

Length

2024-05-18T08:35:23.678856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:35:24.103023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 215
87.4%
na 31
 
12.6%

보험가입여부코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
224 
0
 
20
Y
 
2

Length

Max length4
Median length4
Mean length3.7317073
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 224
91.1%
0 20
 
8.1%
Y 2
 
0.8%

Length

2024-05-18T08:35:24.702413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:35:25.241548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 224
91.1%
0 20
 
8.1%
y 2
 
0.8%

지도자수
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
136 
1
95 
0
15 

Length

Max length4
Median length4
Mean length2.6585366
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row1
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
<NA> 136
55.3%
1 95
38.6%
0 15
 
6.1%

Length

2024-05-18T08:35:25.779886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:35:26.244239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 136
55.3%
1 95
38.6%
0 15
 
6.1%

건축물동수
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
152 
0
71 
1
23 

Length

Max length4
Median length4
Mean length2.8536585
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 152
61.8%
0 71
28.9%
1 23
 
9.3%

Length

2024-05-18T08:35:26.589474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:35:26.944664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 152
61.8%
0 71
28.9%
1 23
 
9.3%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct102
Distinct (%)67.1%
Missing94
Missing (%)38.2%
Infinite0
Infinite (%)0.0%
Mean1013.2911
Minimum0
Maximum11116.13
Zeros45
Zeros (%)18.3%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-05-18T08:35:27.407296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median642.255
Q31076.395
95-th percentile3035.713
Maximum11116.13
Range11116.13
Interquartile range (IQR)1076.395

Descriptive statistics

Standard deviation1664.7528
Coefficient of variation (CV)1.6429167
Kurtosis18.707952
Mean1013.2911
Median Absolute Deviation (MAD)601.355
Skewness3.9886009
Sum154020.24
Variance2771401.8
MonotonicityNot monotonic
2024-05-18T08:35:27.840158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 45
18.3%
609.45 3
 
1.2%
828.9 2
 
0.8%
888.99 2
 
0.8%
639.23 2
 
0.8%
959.68 2
 
0.8%
6923.12 1
 
0.4%
1784.96 1
 
0.4%
2006.8 1
 
0.4%
1486.05 1
 
0.4%
Other values (92) 92
37.4%
(Missing) 94
38.2%
ValueCountFrequency (%)
0.0 45
18.3%
81.8 1
 
0.4%
120.49 1
 
0.4%
122.26 1
 
0.4%
149.02 1
 
0.4%
186.2 1
 
0.4%
360.46 1
 
0.4%
399.76 1
 
0.4%
433.53 1
 
0.4%
445.73 1
 
0.4%
ValueCountFrequency (%)
11116.13 1
0.4%
10491.3 1
0.4%
8492.97 1
0.4%
6923.12 1
0.4%
6844.16 1
0.4%
4033.36 1
0.4%
3858.57 1
0.4%
3481.18 1
0.4%
2671.24 1
0.4%
2546.12 1
0.4%

회원모집총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
240 
0
 
6

Length

Max length4
Median length4
Mean length3.9268293
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> 240
97.6%
0 6
 
2.4%

Length

2024-05-18T08:35:28.263114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:35:28.589339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 240
97.6%
0 6
 
2.4%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing246
Missing (%)100.0%
Memory size2.3 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing246
Missing (%)100.0%
Memory size2.3 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03200000CDFH330102197100000119710520<NA>4취소/말소/만료/정지/중지35직권말소20201012<NA><NA><NA>02-874-2502<NA><NA>서울특별시 관악구 봉천동 463-1서울특별시 관악구 은천로 110 (봉천동, 더블유에스타워)8747태권도 무림 체육관2020-10-10 15:10:45U2020-10-13 02:40:00.0태권도195285.853834442724.651466체육도장업사립<NA><NA><NA>8492.97<NA><NA><NA>
13200000CDFH330102197600000119760825<NA>3폐업3폐업20080408<NA><NA><NA><NA><NA>151015서울특별시 관악구 신림동 637-1번지<NA><NA>남부체육도장2008-04-08 15:30:08I2018-08-31 23:59:59.0<NA>192893.347467440903.819639체육도장업사립0<NA><NA><NA><NA><NA><NA>
23200000CDFH330102197700000119770124<NA>1영업/정상13영업중<NA><NA><NA><NA>02-882-1349<NA><NA>서울특별시 관악구 봉천동 1636-21 지하1층, 3층서울특별시 관악구 인헌6길 24, 지하1층, 3층 (봉천동)8793대호체육도장2020-11-13 19:56:53U2020-11-15 02:40:00.0태권도196877.023011441331.160387체육도장업사립<NA>10932.25<NA><NA><NA>
33200000CDFH330102197700000219770430<NA>1영업/정상13영업중<NA><NA><NA><NA>02-878-0066<NA><NA>서울특별시 관악구 봉천동 937-1번지 은천스포렉스서울특별시 관악구 은천로11길 7, 은천스포렉스 (봉천동)8716은천태권도장2020-03-18 16:59:45U2020-03-20 02:40:00.0태권도194782.914565442696.787374체육도장업사립<NA><NA>0696.44<NA><NA><NA>
43200000CDFH330102197900000119790814<NA>1영업/정상13영업중<NA><NA><NA><NA>02-889-6026<NA><NA>서울특별시 관악구 봉천동 705-1서울특별시 관악구 당곡길 22, 2층 (봉천동)8711한국체대 당곡태권도장2020-10-16 12:58:58U2020-10-18 02:40:00.0태권도193670.225027443121.300653체육도장업사립<NA>10911.18<NA><NA><NA>
53200000CDFH330102198000000119800430<NA>3폐업3폐업20150108<NA><NA><NA><NA><NA>151810서울특별시 관악구 봉천동 37-55번지서울특별시 관악구 청림2길 36 (봉천동)<NA>청우체육관2015-01-09 10:17:03I2018-08-31 23:59:59.0<NA>196226.139162442743.603036체육도장업사립<NA>000.0<NA><NA><NA>
63200000CDFH330102198000000219801006<NA>4취소/말소/만료/정지/중지35직권말소20141020<NA><NA><NA><NA><NA>151849서울특별시 관악구 봉천동 1685-15번지서울특별시 관악구 남부순환로 1909 (봉천동)<NA>우성체육관2014-11-20 14:23:54I2018-08-31 23:59:59.0<NA>196534.587783441771.521577체육도장업사립<NA><NA>00.0<NA><NA><NA>
73200000CDFH330102198000000319801010<NA>4취소/말소/만료/정지/중지35직권말소20141020<NA><NA><NA><NA><NA>151841서울특별시 관악구 봉천동 915-26번지서울특별시 관악구 청룡길 30 (봉천동)<NA>정우체육도장2014-11-19 11:08:26I2018-08-31 23:59:59.0<NA>195148.364781442034.278673체육도장업사립<NA><NA>00.0<NA><NA><NA>
83200000CDFH330102198300000119830702<NA>3폐업3폐업20150520<NA><NA><NA><NA><NA>151861서울특별시 관악구 신림동 341-45번지서울특별시 관악구 원신길 142 (신림동)<NA>용인대 태권도2015-05-20 10:03:35I2018-08-31 23:59:59.0<NA>193737.757937440516.921012체육도장업사립<NA><NA>0982.87<NA><NA><NA>
93200000CDFH330102198300000219830726<NA>4취소/말소/만료/정지/중지35직권말소20141103<NA><NA><NA><NA><NA>151899서울특별시 관악구 신림동 1576-2번지서울특별시 관악구 남부순환로 1528 (신림동)<NA>덕흥권투2014-11-24 10:27:43I2018-08-31 23:59:59.0<NA>192892.568165442274.001502체육도장업사립<NA><NA>00.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
2363200000CDFH330102202200000420220207<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 503-9서울특별시 관악구 관천로15길 131, 2층 (신림동)8705다움태권도장2022-02-18 14:31:10U2022-02-20 02:40:00.0태권도192446.866981442591.517557체육도장업사립<NA>11959.680<NA><NA>
2373200000CDFH330102202200000520220607<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 492-7서울특별시 관악구 양녕로 70, 지하1층 (봉천동)8729봉천태양체육관2022-06-07 14:43:49I2021-12-06 00:09:00.0권투195205.343977442890.930361<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2383200000CDFH330102202200000620220914<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 1598-35서울특별시 관악구 관악로12길 17, 2층 (봉천동)8788체리복싱PT2022-09-14 17:31:09I2021-12-08 23:06:00.0권투195805.0518441780.591978<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2393200000CDFH33010220220000072022-10-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 711-4 대성빌딩서울특별시 관악구 당곡길 36, 대성빌딩 2층 201호 (봉천동)8710국가대표 경희대2023-10-20 11:03:31U2022-10-30 22:02:00.0태권도193642.876908443195.528279<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2403200000CDFH330102202200000820221229<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 945-7서울특별시 관악구 남부순환로 1708, 지하1층 (봉천동)8782서울레슬링센터2022-12-29 17:24:13I2021-11-01 21:01:00.0레슬링194597.472555442300.831345<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2413200000CDFH330102202300000120180405<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 936-2서울특별시 관악구 은천로 50, 202호 (봉천동)8750다물원 태권도장2023-01-30 10:50:18U2022-12-02 00:01:00.0태권도194695.327557442644.711078<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2423200000CDFH33010220230000022012-01-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 542-1서울특별시 관악구 조원로16길 34, 지층 (신림동)8767관악검도관2023-03-07 09:32:22U2022-12-03 00:09:00.0검도192063.757305442279.676343<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2433200000CDFH33010220230000032023-05-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 944-29 동해빌딩서울특별시 관악구 남부순환로 1713-7, 동해빌딩 지하1층 (봉천동)8757한국위너복싱 봉천점2023-05-09 08:22:01I2022-12-04 23:01:00.0레슬링194700.12235442356.552134<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2443200000CDFH33010220230000042023-10-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 404-1 영창빌딩서울특별시 관악구 신림로 169, 영창빌딩 6층 (신림동)8845한국위너복싱 서울대벤처타운점2023-10-27 10:07:23I2022-10-30 22:09:00.0권투194068.028096441340.456614<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2453200000CDFH33010220240000012024-03-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 921-35서울특별시 관악구 청룡4길 46, 1층 (봉천동)8785삼성유아태권도2024-03-18 16:57:30I2023-12-02 22:00:00.0태권도194940.935155442107.017092<NA><NA><NA><NA><NA><NA><NA><NA><NA>