Overview

Dataset statistics

Number of variables34
Number of observations239
Missing cells1831
Missing cells (%)22.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory67.3 KiB
Average record size in memory288.6 B

Variable types

Categorical15
Text7
DateTime4
Unsupported5
Numeric3

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,공사립구분명,보험가입여부코드,지도자수,건축물동수,건축물연면적,회원모집총인원,세부업종명,법인명
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-19838/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (96.1%)Imbalance
휴업종료일자 is highly imbalanced (96.1%)Imbalance
보험가입여부코드 is highly imbalanced (60.6%)Imbalance
회원모집총인원 is highly imbalanced (90.0%)Imbalance
인허가취소일자 has 239 (100.0%) missing valuesMissing
폐업일자 has 123 (51.5%) missing valuesMissing
재개업일자 has 239 (100.0%) missing valuesMissing
전화번호 has 84 (35.1%) missing valuesMissing
소재지면적 has 239 (100.0%) missing valuesMissing
소재지우편번호 has 138 (57.7%) missing valuesMissing
도로명주소 has 12 (5.0%) missing valuesMissing
도로명우편번호 has 91 (38.1%) missing valuesMissing
좌표정보(X) has 11 (4.6%) missing valuesMissing
좌표정보(Y) has 11 (4.6%) missing valuesMissing
건축물연면적 has 166 (69.5%) missing valuesMissing
세부업종명 has 239 (100.0%) missing valuesMissing
법인명 has 239 (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 47 (19.7%) zerosZeros

Reproduction

Analysis started2024-05-11 05:58:20.255265
Analysis finished2024-05-11 05:58:21.272407
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
3110000
239 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 239
100.0%

Length

2024-05-11T14:58:21.390765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:58:21.534445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 239
100.0%

관리번호
Text

UNIQUE 

Distinct239
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-05-11T14:58:21.799513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters4780
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

Unique239 ?
Unique (%)100.0%

Sample

1st rowCDFH3301021989000001
2nd rowCDFH3301021989000002
3rd rowCDFH3301021989000003
4th rowCDFH3301021989000004
5th rowCDFH3301021989000005
ValueCountFrequency (%)
cdfh3301021989000001 1
 
0.4%
cdfh3301022010000004 1
 
0.4%
cdfh3301022010000006 1
 
0.4%
cdfh3301022010000007 1
 
0.4%
cdfh3301022011000001 1
 
0.4%
cdfh3301022011000002 1
 
0.4%
cdfh3301022011000003 1
 
0.4%
cdfh3301022011000004 1
 
0.4%
cdfh3301022011000005 1
 
0.4%
cdfh3301022011000006 1
 
0.4%
Other values (229) 229
95.8%
2024-05-11T14:58:22.336051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1907
39.9%
3 543
 
11.4%
2 490
 
10.3%
1 480
 
10.0%
C 239
 
5.0%
D 239
 
5.0%
F 239
 
5.0%
H 239
 
5.0%
9 187
 
3.9%
4 64
 
1.3%
Other values (4) 153
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3824
80.0%
Uppercase Letter 956
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1907
49.9%
3 543
 
14.2%
2 490
 
12.8%
1 480
 
12.6%
9 187
 
4.9%
4 64
 
1.7%
5 47
 
1.2%
6 40
 
1.0%
8 34
 
0.9%
7 32
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 239
25.0%
D 239
25.0%
F 239
25.0%
H 239
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3824
80.0%
Latin 956
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1907
49.9%
3 543
 
14.2%
2 490
 
12.8%
1 480
 
12.6%
9 187
 
4.9%
4 64
 
1.7%
5 47
 
1.2%
6 40
 
1.0%
8 34
 
0.9%
7 32
 
0.8%
Latin
ValueCountFrequency (%)
C 239
25.0%
D 239
25.0%
F 239
25.0%
H 239
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4780
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1907
39.9%
3 543
 
11.4%
2 490
 
10.3%
1 480
 
10.0%
C 239
 
5.0%
D 239
 
5.0%
F 239
 
5.0%
H 239
 
5.0%
9 187
 
3.9%
4 64
 
1.3%
Other values (4) 153
 
3.2%

인허가일자
Date

Distinct213
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum1989-09-06 00:00:00
Maximum2024-03-20 00:00:00
2024-05-11T14:58:22.612617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:58:22.891698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing239
Missing (%)100.0%
Memory size2.2 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
1
122 
3
114 
4
 
2
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
1 122
51.0%
3 114
47.7%
4 2
 
0.8%
2 1
 
0.4%

Length

2024-05-11T14:58:23.093390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:58:23.246254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 122
51.0%
3 114
47.7%
4 2
 
0.8%
2 1
 
0.4%

영업상태명
Categorical

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
영업/정상
122 
폐업
114 
취소/말소/만료/정지/중지
 
2
휴업
 
1

Length

Max length14
Median length5
Mean length3.6317992
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 122
51.0%
폐업 114
47.7%
취소/말소/만료/정지/중지 2
 
0.8%
휴업 1
 
0.4%

Length

2024-05-11T14:58:23.412412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:58:23.567289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 122
51.0%
폐업 114
47.7%
취소/말소/만료/정지/중지 2
 
0.8%
휴업 1
 
0.4%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
13
122 
3
114 
35
 
2
2
 
1

Length

Max length2
Median length2
Mean length1.5188285
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
13 122
51.0%
3 114
47.7%
35 2
 
0.8%
2 1
 
0.4%

Length

2024-05-11T14:58:23.749499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:58:23.910851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 122
51.0%
3 114
47.7%
35 2
 
0.8%
2 1
 
0.4%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
영업중
122 
폐업
114 
직권말소
 
2
휴업
 
1

Length

Max length4
Median length3
Mean length2.5271967
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 122
51.0%
폐업 114
47.7%
직권말소 2
 
0.8%
휴업 1
 
0.4%

Length

2024-05-11T14:58:24.185065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:58:24.396075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 122
51.0%
폐업 114
47.7%
직권말소 2
 
0.8%
휴업 1
 
0.4%

폐업일자
Date

MISSING 

Distinct98
Distinct (%)84.5%
Missing123
Missing (%)51.5%
Memory size2.0 KiB
Minimum1994-06-17 00:00:00
Maximum2024-03-26 00:00:00
2024-05-11T14:58:24.619880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:58:24.885776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
238 
20131118
 
1

Length

Max length8
Median length4
Mean length4.0167364
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 238
99.6%
20131118 1
 
0.4%

Length

2024-05-11T14:58:25.125743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:58:25.305818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 238
99.6%
20131118 1
 
0.4%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
238 
20151230
 
1

Length

Max length8
Median length4
Mean length4.0167364
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 238
99.6%
20151230 1
 
0.4%

Length

2024-05-11T14:58:25.488885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:58:25.662417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 238
99.6%
20151230 1
 
0.4%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing239
Missing (%)100.0%
Memory size2.2 KiB

전화번호
Text

MISSING 

Distinct145
Distinct (%)93.5%
Missing84
Missing (%)35.1%
Memory size2.0 KiB
2024-05-11T14:58:26.092027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length8.5548387
Min length8

Characters and Unicode

Total characters1326
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

Unique136 ?
Unique (%)87.7%

Sample

1st row023582447
2nd row352-4923
3rd row354-4535
4th row3849-576
5th row373-8952
ValueCountFrequency (%)
302-9583 3
 
1.9%
373-7052 2
 
1.3%
381-1113 2
 
1.3%
354-7075 2
 
1.3%
308-1714 2
 
1.3%
383-0544 2
 
1.3%
357-3267 2
 
1.3%
354-3647 2
 
1.3%
309-7890 2
 
1.3%
358-4654 1
 
0.6%
Other values (135) 135
87.1%
2024-05-11T14:58:26.956096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 243
18.3%
- 170
12.8%
5 147
11.1%
0 141
10.6%
8 116
8.7%
2 113
8.5%
7 99
7.5%
9 86
 
6.5%
4 82
 
6.2%
1 69
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1156
87.2%
Dash Punctuation 170
 
12.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 243
21.0%
5 147
12.7%
0 141
12.2%
8 116
10.0%
2 113
9.8%
7 99
8.6%
9 86
 
7.4%
4 82
 
7.1%
1 69
 
6.0%
6 60
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 170
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1326
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 243
18.3%
- 170
12.8%
5 147
11.1%
0 141
10.6%
8 116
8.7%
2 113
8.5%
7 99
7.5%
9 86
 
6.5%
4 82
 
6.2%
1 69
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1326
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 243
18.3%
- 170
12.8%
5 147
11.1%
0 141
10.6%
8 116
8.7%
2 113
8.5%
7 99
7.5%
9 86
 
6.5%
4 82
 
6.2%
1 69
 
5.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing239
Missing (%)100.0%
Memory size2.2 KiB

소재지우편번호
Text

MISSING 

Distinct67
Distinct (%)66.3%
Missing138
Missing (%)57.7%
Memory size2.0 KiB
2024-05-11T14:58:27.382816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0594059
Min length6

Characters and Unicode

Total characters612
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

Unique44 ?
Unique (%)43.6%

Sample

1st row122842
2nd row122908
3rd row122842
4th row122813
5th row122895
ValueCountFrequency (%)
122874 5
 
5.0%
122924 4
 
4.0%
122902 4
 
4.0%
122842 4
 
4.0%
122908 3
 
3.0%
122918 3
 
3.0%
122882 2
 
2.0%
122873 2
 
2.0%
122851 2
 
2.0%
122820 2
 
2.0%
Other values (57) 70
69.3%
2024-05-11T14:58:27.944324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 228
37.3%
1 125
20.4%
8 86
 
14.1%
9 42
 
6.9%
0 36
 
5.9%
7 26
 
4.2%
4 20
 
3.3%
5 18
 
2.9%
3 17
 
2.8%
6 8
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 606
99.0%
Dash Punctuation 6
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 228
37.6%
1 125
20.6%
8 86
 
14.2%
9 42
 
6.9%
0 36
 
5.9%
7 26
 
4.3%
4 20
 
3.3%
5 18
 
3.0%
3 17
 
2.8%
6 8
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 612
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 228
37.3%
1 125
20.4%
8 86
 
14.1%
9 42
 
6.9%
0 36
 
5.9%
7 26
 
4.2%
4 20
 
3.3%
5 18
 
2.9%
3 17
 
2.8%
6 8
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 612
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 228
37.3%
1 125
20.4%
8 86
 
14.1%
9 42
 
6.9%
0 36
 
5.9%
7 26
 
4.2%
4 20
 
3.3%
5 18
 
2.9%
3 17
 
2.8%
6 8
 
1.3%

지번주소
Text

Distinct236
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-05-11T14:58:28.438421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length40
Mean length24.916318
Min length16

Characters and Unicode

Total characters5955
Distinct characters148
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

Unique233 ?
Unique (%)97.5%

Sample

1st row서울특별시 은평구 불광동 90-65
2nd row서울특별시 은평구 대조동 188-1번지
3rd row서울특별시 은평구 응암동 98-1번지
4th row서울특별시 은평구 대조동 187-38번지
5th row서울특별시 은평구 증산동 166-15번지
ValueCountFrequency (%)
서울특별시 239
20.3%
은평구 239
20.3%
응암동 53
 
4.5%
불광동 35
 
3.0%
역촌동 28
 
2.4%
2층 28
 
2.4%
신사동 27
 
2.3%
갈현동 26
 
2.2%
3층 20
 
1.7%
대조동 17
 
1.4%
Other values (335) 466
39.6%
2024-05-11T14:58:29.247564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1091
18.3%
동 284
 
4.8%
은 254
 
4.3%
평 254
 
4.3%
구 252
 
4.2%
서 239
 
4.0%
울 239
 
4.0%
시 239
 
4.0%
별 239
 
4.0%
특 239
 
4.0%
Other values (138) 2625
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3465
58.2%
Decimal Number 1166
 
19.6%
Space Separator 1091
 
18.3%
Dash Punctuation 211
 
3.5%
Uppercase Letter 11
 
0.2%
Other Punctuation 5
 
0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 284
 
8.2%
은 254
 
7.3%
평 254
 
7.3%
구 252
 
7.3%
서 239
 
6.9%
울 239
 
6.9%
시 239
 
6.9%
별 239
 
6.9%
특 239
 
6.9%
지 151
 
4.4%
Other values (113) 1075
31.0%
Decimal Number
ValueCountFrequency (%)
1 232
19.9%
2 208
17.8%
3 164
14.1%
4 111
9.5%
8 96
8.2%
0 93
8.0%
5 79
 
6.8%
6 68
 
5.8%
7 66
 
5.7%
9 49
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
B 4
36.4%
C 1
 
9.1%
M 1
 
9.1%
S 1
 
9.1%
K 1
 
9.1%
D 1
 
9.1%
A 1
 
9.1%
L 1
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
b 1
50.0%
Space Separator
ValueCountFrequency (%)
1091
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 211
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3465
58.2%
Common 2477
41.6%
Latin 13
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 284
 
8.2%
은 254
 
7.3%
평 254
 
7.3%
구 252
 
7.3%
서 239
 
6.9%
울 239
 
6.9%
시 239
 
6.9%
별 239
 
6.9%
특 239
 
6.9%
지 151
 
4.4%
Other values (113) 1075
31.0%
Common
ValueCountFrequency (%)
1091
44.0%
1 232
 
9.4%
- 211
 
8.5%
2 208
 
8.4%
3 164
 
6.6%
4 111
 
4.5%
8 96
 
3.9%
0 93
 
3.8%
5 79
 
3.2%
6 68
 
2.7%
Other values (5) 124
 
5.0%
Latin
ValueCountFrequency (%)
B 4
30.8%
C 1
 
7.7%
M 1
 
7.7%
S 1
 
7.7%
K 1
 
7.7%
e 1
 
7.7%
D 1
 
7.7%
A 1
 
7.7%
b 1
 
7.7%
L 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3465
58.2%
ASCII 2490
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1091
43.8%
1 232
 
9.3%
- 211
 
8.5%
2 208
 
8.4%
3 164
 
6.6%
4 111
 
4.5%
8 96
 
3.9%
0 93
 
3.7%
5 79
 
3.2%
6 68
 
2.7%
Other values (15) 137
 
5.5%
Hangul
ValueCountFrequency (%)
동 284
 
8.2%
은 254
 
7.3%
평 254
 
7.3%
구 252
 
7.3%
서 239
 
6.9%
울 239
 
6.9%
시 239
 
6.9%
별 239
 
6.9%
특 239
 
6.9%
지 151
 
4.4%
Other values (113) 1075
31.0%

도로명주소
Text

MISSING 

Distinct223
Distinct (%)98.2%
Missing12
Missing (%)5.0%
Memory size2.0 KiB
2024-05-11T14:58:29.675945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length51
Mean length29.929515
Min length22

Characters and Unicode

Total characters6794
Distinct characters162
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

Unique219 ?
Unique (%)96.5%

Sample

1st row서울특별시 은평구 연서로41길 3 (불광동)
2nd row서울특별시 은평구 통일로 803-1 (대조동)
3rd row서울특별시 은평구 은평로 156 (응암동)
4th row서울특별시 은평구 통일로 815 (대조동)
5th row서울특별시 은평구 증산로9길 12 (증산동)
ValueCountFrequency (%)
서울특별시 227
 
16.7%
은평구 227
 
16.7%
응암동 47
 
3.5%
2층 34
 
2.5%
불광동 31
 
2.3%
역촌동 25
 
1.8%
신사동 21
 
1.5%
갈현동 19
 
1.4%
통일로 19
 
1.4%
3층 18
 
1.3%
Other values (352) 690
50.8%
2024-05-11T14:58:30.294831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1193
 
17.6%
은 278
 
4.1%
평 278
 
4.1%
서 268
 
3.9%
동 251
 
3.7%
구 240
 
3.5%
시 228
 
3.4%
) 228
 
3.4%
( 228
 
3.4%
특 227
 
3.3%
Other values (152) 3375
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3908
57.5%
Space Separator 1193
 
17.6%
Decimal Number 986
 
14.5%
Close Punctuation 228
 
3.4%
Open Punctuation 228
 
3.4%
Other Punctuation 189
 
2.8%
Dash Punctuation 42
 
0.6%
Uppercase Letter 19
 
0.3%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
은 278
 
7.1%
평 278
 
7.1%
서 268
 
6.9%
동 251
 
6.4%
구 240
 
6.1%
시 228
 
5.8%
특 227
 
5.8%
별 227
 
5.8%
울 227
 
5.8%
로 225
 
5.8%
Other values (128) 1459
37.3%
Decimal Number
ValueCountFrequency (%)
1 226
22.9%
2 196
19.9%
3 126
12.8%
0 82
 
8.3%
5 71
 
7.2%
4 69
 
7.0%
6 63
 
6.4%
7 56
 
5.7%
8 52
 
5.3%
9 45
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
B 6
31.6%
D 3
15.8%
M 3
15.8%
C 3
15.8%
S 1
 
5.3%
K 1
 
5.3%
A 1
 
5.3%
L 1
 
5.3%
Space Separator
ValueCountFrequency (%)
1193
100.0%
Close Punctuation
ValueCountFrequency (%)
) 228
100.0%
Open Punctuation
ValueCountFrequency (%)
( 228
100.0%
Other Punctuation
ValueCountFrequency (%)
, 189
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3908
57.5%
Common 2866
42.2%
Latin 20
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
은 278
 
7.1%
평 278
 
7.1%
서 268
 
6.9%
동 251
 
6.4%
구 240
 
6.1%
시 228
 
5.8%
특 227
 
5.8%
별 227
 
5.8%
울 227
 
5.8%
로 225
 
5.8%
Other values (128) 1459
37.3%
Common
ValueCountFrequency (%)
1193
41.6%
) 228
 
8.0%
( 228
 
8.0%
1 226
 
7.9%
2 196
 
6.8%
, 189
 
6.6%
3 126
 
4.4%
0 82
 
2.9%
5 71
 
2.5%
4 69
 
2.4%
Other values (5) 258
 
9.0%
Latin
ValueCountFrequency (%)
B 6
30.0%
D 3
15.0%
M 3
15.0%
C 3
15.0%
S 1
 
5.0%
K 1
 
5.0%
A 1
 
5.0%
e 1
 
5.0%
L 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3908
57.5%
ASCII 2886
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1193
41.3%
) 228
 
7.9%
( 228
 
7.9%
1 226
 
7.8%
2 196
 
6.8%
, 189
 
6.5%
3 126
 
4.4%
0 82
 
2.8%
5 71
 
2.5%
4 69
 
2.4%
Other values (14) 278
 
9.6%
Hangul
ValueCountFrequency (%)
은 278
 
7.1%
평 278
 
7.1%
서 268
 
6.9%
동 251
 
6.4%
구 240
 
6.1%
시 228
 
5.8%
특 227
 
5.8%
별 227
 
5.8%
울 227
 
5.8%
로 225
 
5.8%
Other values (128) 1459
37.3%

도로명우편번호
Text

MISSING 

Distinct95
Distinct (%)64.2%
Missing91
Missing (%)38.1%
Memory size2.0 KiB
2024-05-11T14:58:30.666764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0405405
Min length5

Characters and Unicode

Total characters746
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

Unique58 ?
Unique (%)39.2%

Sample

1st row03343
2nd row03497
3rd row03479
4th row122824
5th row03336
ValueCountFrequency (%)
03300 4
 
2.7%
03329 4
 
2.7%
03418 4
 
2.7%
03368 4
 
2.7%
03306 3
 
2.0%
03442 3
 
2.0%
03454 3
 
2.0%
03446 3
 
2.0%
03472 3
 
2.0%
03394 3
 
2.0%
Other values (85) 114
77.0%
2024-05-11T14:58:31.268865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 229
30.7%
0 178
23.9%
4 109
14.6%
6 43
 
5.8%
2 42
 
5.6%
8 32
 
4.3%
1 29
 
3.9%
9 29
 
3.9%
7 29
 
3.9%
5 25
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 745
99.9%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 229
30.7%
0 178
23.9%
4 109
14.6%
6 43
 
5.8%
2 42
 
5.6%
8 32
 
4.3%
1 29
 
3.9%
9 29
 
3.9%
7 29
 
3.9%
5 25
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 746
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 229
30.7%
0 178
23.9%
4 109
14.6%
6 43
 
5.8%
2 42
 
5.6%
8 32
 
4.3%
1 29
 
3.9%
9 29
 
3.9%
7 29
 
3.9%
5 25
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 746
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 229
30.7%
0 178
23.9%
4 109
14.6%
6 43
 
5.8%
2 42
 
5.6%
8 32
 
4.3%
1 29
 
3.9%
9 29
 
3.9%
7 29
 
3.9%
5 25
 
3.4%

사업장명
Text

Distinct225
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-05-11T14:58:31.586423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length15
Mean length6.8117155
Min length3

Characters and Unicode

Total characters1628
Distinct characters244
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

Unique211 ?
Unique (%)88.3%

Sample

1st row참조은고려태권도장
2nd row고려체육관
3rd row원도체육관
4th row문무관(우슈)
5th row증산태권도장
ValueCountFrequency (%)
태권도 11
 
3.5%
태권도장 7
 
2.3%
용인대 5
 
1.6%
은평 5
 
1.6%
합기도 4
 
1.3%
한국체대 3
 
1.0%
남일태권도장 2
 
0.6%
체육관 2
 
0.6%
종합무예 2
 
0.6%
짐 2
 
0.6%
Other values (243) 268
86.2%
2024-05-11T14:58:32.179999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 143
 
8.8%
태 107
 
6.6%
권 105
 
6.4%
관 100
 
6.1%
체 82
 
5.0%
육 75
 
4.6%
72
 
4.4%
대 50
 
3.1%
장 48
 
2.9%
무 24
 
1.5%
Other values (234) 822
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1484
91.2%
Space Separator 72
 
4.4%
Uppercase Letter 44
 
2.7%
Lowercase Letter 12
 
0.7%
Decimal Number 6
 
0.4%
Open Punctuation 4
 
0.2%
Close Punctuation 4
 
0.2%
Dash Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 143
 
9.6%
태 107
 
7.2%
권 105
 
7.1%
관 100
 
6.7%
체 82
 
5.5%
육 75
 
5.1%
대 50
 
3.4%
장 48
 
3.2%
무 24
 
1.6%
호 21
 
1.4%
Other values (200) 729
49.1%
Uppercase Letter
ValueCountFrequency (%)
M 9
20.5%
A 6
13.6%
T 6
13.6%
S 4
9.1%
Y 4
9.1%
H 3
 
6.8%
G 3
 
6.8%
W 2
 
4.5%
P 1
 
2.3%
B 1
 
2.3%
Other values (5) 5
11.4%
Lowercase Letter
ValueCountFrequency (%)
s 3
25.0%
y 1
 
8.3%
k 1
 
8.3%
a 1
 
8.3%
i 1
 
8.3%
c 1
 
8.3%
u 1
 
8.3%
d 1
 
8.3%
o 1
 
8.3%
w 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
1 1
 
16.7%
3 1
 
16.7%
5 1
 
16.7%
Space Separator
ValueCountFrequency (%)
72
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1484
91.2%
Common 88
 
5.4%
Latin 56
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 143
 
9.6%
태 107
 
7.2%
권 105
 
7.1%
관 100
 
6.7%
체 82
 
5.5%
육 75
 
5.1%
대 50
 
3.4%
장 48
 
3.2%
무 24
 
1.6%
호 21
 
1.4%
Other values (200) 729
49.1%
Latin
ValueCountFrequency (%)
M 9
16.1%
A 6
 
10.7%
T 6
 
10.7%
S 4
 
7.1%
Y 4
 
7.1%
s 3
 
5.4%
H 3
 
5.4%
G 3
 
5.4%
W 2
 
3.6%
y 1
 
1.8%
Other values (15) 15
26.8%
Common
ValueCountFrequency (%)
72
81.8%
( 4
 
4.5%
) 4
 
4.5%
2 3
 
3.4%
1 1
 
1.1%
3 1
 
1.1%
5 1
 
1.1%
- 1
 
1.1%
. 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1484
91.2%
ASCII 144
 
8.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 143
 
9.6%
태 107
 
7.2%
권 105
 
7.1%
관 100
 
6.7%
체 82
 
5.5%
육 75
 
5.1%
대 50
 
3.4%
장 48
 
3.2%
무 24
 
1.6%
호 21
 
1.4%
Other values (200) 729
49.1%
ASCII
ValueCountFrequency (%)
72
50.0%
M 9
 
6.2%
A 6
 
4.2%
T 6
 
4.2%
S 4
 
2.8%
( 4
 
2.8%
) 4
 
2.8%
Y 4
 
2.8%
s 3
 
2.1%
H 3
 
2.1%
Other values (24) 29
20.1%

최종수정일자
Date

Distinct221
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2003-04-17 19:25:48
Maximum2024-05-01 18:00:50
2024-05-11T14:58:32.381570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:58:32.619416image/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 size2.0 KiB
U
121 
I
118 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 121
50.6%
I 118
49.4%

Length

2024-05-11T14:58:32.835997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:58:32.980472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 121
50.6%
i 118
49.4%

데이터갱신일자
Date

Distinct68
Distinct (%)28.5%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:03:00
2024-05-11T14:58:33.163047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:58:33.689324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct8
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
109 
태권도
83 
권투
18 
유도
11 
합기도
11 
Other values (3)
 
7

Length

Max length4
Median length3
Mean length3.3096234
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 109
45.6%
태권도 83
34.7%
권투 18
 
7.5%
유도 11
 
4.6%
합기도 11
 
4.6%
검도 4
 
1.7%
우슈 2
 
0.8%
레슬링 1
 
0.4%

Length

2024-05-11T14:58:33.954767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:58:34.124939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 109
45.6%
태권도 83
34.7%
권투 18
 
7.5%
유도 11
 
4.6%
합기도 11
 
4.6%
검도 4
 
1.7%
우슈 2
 
0.8%
레슬링 1
 
0.4%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct201
Distinct (%)88.2%
Missing11
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean192734.59
Minimum190150.31
Maximum194430.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-05-11T14:58:34.373320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190150.31
5-th percentile190935.45
Q1192143.2
median192755.42
Q3193326.06
95-th percentile194012.84
Maximum194430.53
Range4280.2192
Interquartile range (IQR)1182.8567

Descriptive statistics

Standard deviation859.19253
Coefficient of variation (CV)0.0044579052
Kurtosis0.16785094
Mean192734.59
Median Absolute Deviation (MAD)584.87965
Skewness-0.41149417
Sum43943487
Variance738211.8
MonotonicityNot monotonic
2024-05-11T14:58:34.616194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192471.766517248 3
 
1.3%
191599.169848023 2
 
0.8%
191998.524555566 2
 
0.8%
194012.840221993 2
 
0.8%
193981.438661003 2
 
0.8%
193305.578905512 2
 
0.8%
193474.707112253 2
 
0.8%
193198.057696914 2
 
0.8%
192960.086142782 2
 
0.8%
192143.199053248 2
 
0.8%
Other values (191) 207
86.6%
(Missing) 11
 
4.6%
ValueCountFrequency (%)
190150.311027841 1
0.4%
190373.380194267 1
0.4%
190540.477085396 1
0.4%
190615.9021719 1
0.4%
190661.668310498 1
0.4%
190736.409762525 1
0.4%
190741.823964705 1
0.4%
190774.119177382 1
0.4%
190780.548165959 1
0.4%
190791.064110739 1
0.4%
ValueCountFrequency (%)
194430.530275405 2
0.8%
194412.0 1
0.4%
194282.625811076 1
0.4%
194248.813586693 1
0.4%
194196.421627002 1
0.4%
194140.340023169 1
0.4%
194129.618459432 1
0.4%
194047.345565743 1
0.4%
194038.526449837 1
0.4%
194018.918040031 1
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct201
Distinct (%)88.2%
Missing11
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean455950.85
Minimum453194.54
Maximum460734.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-05-11T14:58:34.848288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum453194.54
5-th percentile453510.32
Q1454692.05
median455688.41
Q3456968.31
95-th percentile458731.05
Maximum460734.65
Range7540.1105
Interquartile range (IQR)2276.2565

Descriptive statistics

Standard deviation1595.7093
Coefficient of variation (CV)0.0034997397
Kurtosis0.095559371
Mean455950.85
Median Absolute Deviation (MAD)1142.4261
Skewness0.50157034
Sum1.0395679 × 108
Variance2546288.1
MonotonicityNot monotonic
2024-05-11T14:58:35.074657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
455584.953509508 3
 
1.3%
454248.453345472 2
 
0.8%
455694.328395532 2
 
0.8%
457271.723397055 2
 
0.8%
455167.007998035 2
 
0.8%
457001.533026148 2
 
0.8%
456548.478998778 2
 
0.8%
460290.216473109 2
 
0.8%
454548.650164141 2
 
0.8%
455090.337850721 2
 
0.8%
Other values (191) 207
86.6%
(Missing) 11
 
4.6%
ValueCountFrequency (%)
453194.537663327 1
0.4%
453246.597175201 1
0.4%
453295.781525013 1
0.4%
453328.114670148 1
0.4%
453379.921770515 1
0.4%
453401.545995001 1
0.4%
453427.128515743 2
0.8%
453444.375787943 1
0.4%
453446.722064174 1
0.4%
453474.893525354 1
0.4%
ValueCountFrequency (%)
460734.648208213 2
0.8%
460290.216473109 2
0.8%
460102.204945 1
0.4%
459986.856034813 1
0.4%
459328.813094403 1
0.4%
459327.755951548 1
0.4%
459318.404757978 2
0.8%
458857.590235538 1
0.4%
458840.730376417 1
0.4%
458527.366374634 1
0.4%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
체육도장업
162 
<NA>
77 

Length

Max length5
Median length5
Mean length4.6778243
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체육도장업 162
67.8%
<NA> 77
32.2%

Length

2024-05-11T14:58:35.312511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:58:35.488649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육도장업 162
67.8%
na 77
32.2%

공사립구분명
Categorical

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
사립
161 
<NA>
77 
공립
 
1

Length

Max length4
Median length2
Mean length2.6443515
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
사립 161
67.4%
<NA> 77
32.2%
공립 1
 
0.4%

Length

2024-05-11T14:58:35.707340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:58:35.874977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 161
67.4%
na 77
32.2%
공립 1
 
0.4%

보험가입여부코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
206 
0
31 
Y
 
2

Length

Max length4
Median length4
Mean length3.5857741
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 206
86.2%
0 31
 
13.0%
Y 2
 
0.8%

Length

2024-05-11T14:58:36.055429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:58:36.229486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 206
86.2%
0 31
 
13.0%
y 2
 
0.8%

지도자수
Categorical

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
174 
0
37 
1
28 

Length

Max length4
Median length4
Mean length3.1841004
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 174
72.8%
0 37
 
15.5%
1 28
 
11.7%

Length

2024-05-11T14:58:36.440615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:58:36.634705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 174
72.8%
0 37
 
15.5%
1 28
 
11.7%

건축물동수
Categorical

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
178 
0
55 
1
 
6

Length

Max length4
Median length4
Mean length3.2343096
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 178
74.5%
0 55
 
23.0%
1 6
 
2.5%

Length

2024-05-11T14:58:36.827972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:58:37.002080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 178
74.5%
0 55
 
23.0%
1 6
 
2.5%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct27
Distinct (%)37.0%
Missing166
Missing (%)69.5%
Infinite0
Infinite (%)0.0%
Mean258.44986
Minimum0
Maximum2058.82
Zeros47
Zeros (%)19.7%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-05-11T14:58:37.151841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3522.85
95-th percentile1159.094
Maximum2058.82
Range2058.82
Interquartile range (IQR)522.85

Descriptive statistics

Standard deviation440.48358
Coefficient of variation (CV)1.7043289
Kurtosis3.5625392
Mean258.44986
Median Absolute Deviation (MAD)0
Skewness1.8872389
Sum18866.84
Variance194025.79
MonotonicityNot monotonic
2024-05-11T14:58:37.334508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.0 47
 
19.7%
733.88 1
 
0.4%
1306.04 1
 
0.4%
1492.56 1
 
0.4%
692.94 1
 
0.4%
760.6 1
 
0.4%
288.0 1
 
0.4%
522.85 1
 
0.4%
745.82 1
 
0.4%
647.53 1
 
0.4%
Other values (17) 17
 
7.1%
(Missing) 166
69.5%
ValueCountFrequency (%)
0.0 47
19.7%
78.5 1
 
0.4%
95.5 1
 
0.4%
149.6 1
 
0.4%
268.0 1
 
0.4%
288.0 1
 
0.4%
326.95 1
 
0.4%
328.26 1
 
0.4%
522.85 1
 
0.4%
580.16 1
 
0.4%
ValueCountFrequency (%)
2058.82 1
0.4%
1492.56 1
0.4%
1306.04 1
0.4%
1303.19 1
0.4%
1063.03 1
0.4%
951.09 1
0.4%
814.89 1
0.4%
782.02 1
0.4%
775.13 1
0.4%
760.6 1
0.4%

회원모집총인원
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
233 
0
 
4
40
 
1
38
 
1

Length

Max length4
Median length4
Mean length3.9330544
Min length1

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 233
97.5%
0 4
 
1.7%
40 1
 
0.4%
38 1
 
0.4%

Length

2024-05-11T14:58:37.501919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:58:37.649409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 233
97.5%
0 4
 
1.7%
40 1
 
0.4%
38 1
 
0.4%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing239
Missing (%)100.0%
Memory size2.2 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing239
Missing (%)100.0%
Memory size2.2 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03110000CDFH330102198900000119890906<NA>1영업/정상13영업중<NA><NA><NA><NA>023582447<NA><NA>서울특별시 은평구 불광동 90-65서울특별시 은평구 연서로41길 3 (불광동)03343참조은고려태권도장2021-04-20 09:36:19U2021-04-22 02:40:00.0태권도193602.731686458138.2575체육도장업사립<NA>00814.89<NA><NA><NA>
13110000CDFH330102198900000219891123<NA>3폐업3폐업20080626<NA><NA><NA>352-4923<NA>122842서울특별시 은평구 대조동 188-1번지서울특별시 은평구 통일로 803-1 (대조동)<NA>고려체육관2015-03-05 12:40:28I2018-08-31 23:59:59.0<NA>193244.450329457041.588035체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
23110000CDFH330102198900000319891130<NA>3폐업3폐업20060504<NA><NA><NA>354-4535<NA>122908서울특별시 은평구 응암동 98-1번지서울특별시 은평구 은평로 156 (응암동)<NA>원도체육관2006-05-04 13:25:19I2018-08-31 23:59:59.0<NA>193299.735991455390.583613체육도장업사립0<NA><NA><NA><NA><NA><NA>
33110000CDFH330102198900000419891130<NA>3폐업3폐업20041231<NA><NA><NA>3849-576<NA>122842서울특별시 은평구 대조동 187-38번지서울특별시 은평구 통일로 815 (대조동)<NA>문무관(우슈)2010-08-02 15:25:04I2018-08-31 23:59:59.0<NA>193162.627608457121.599288체육도장업사립<NA><NA>00.0<NA><NA><NA>
43110000CDFH330102198900000519891216<NA>3폐업3폐업20191115<NA><NA><NA>373-8952<NA><NA>서울특별시 은평구 증산동 166-15번지서울특별시 은평구 증산로9길 12 (증산동)03497증산태권도장2019-11-15 17:25:56U2019-11-17 02:40:00.0<NA>191932.814298453675.379052체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
53110000CDFH330102198900000619891216<NA>3폐업3폐업20191001<NA><NA><NA><NA><NA><NA>서울특별시 은평구 응암동 749-51번지 응암빌딩서울특별시 은평구 응암로12길 13, 응암빌딩 (응암동)03479응암체육관2019-10-01 13:56:21U2019-10-03 02:40:00.0<NA>192715.937057453955.485151체육도장업사립<NA><NA><NA>951.09<NA><NA><NA>
63110000CDFH330102198900000719891216<NA>3폐업3폐업20131105<NA><NA><NA>387-4200<NA>122813서울특별시 은평구 갈현동 467-1번지서울특별시 은평구 연서로17길 18-6 (갈현동)<NA>한국체대남일2013-11-05 17:15:06I2018-08-31 23:59:59.0<NA>192534.656897456773.714885체육도장업사립0<NA><NA><NA><NA><NA><NA>
73110000CDFH330102198900000819891220<NA>3폐업3폐업19961007<NA><NA><NA>387-6108<NA>122895서울특별시 은평구 역촌동 14-7번지서울특별시 은평구 서오릉로 95 (역촌동)<NA>한국체육관2003-04-17 19:25:48I2018-08-31 23:59:59.0<NA>192920.728013456218.21595체육도장업사립<NA>000.0<NA><NA><NA>
83110000CDFH330102198900000919891220<NA>3폐업3폐업20110413<NA><NA><NA>373-7052<NA>122891서울특별시 은평구 신사동 344-16번지 3층서울특별시 은평구 증산로15길 25 (신사동,3층)<NA>연호체육관2011-04-13 13:15:34I2018-08-31 23:59:59.0<NA>192005.547461454146.2526체육도장업사립0<NA><NA><NA><NA><NA><NA>
93110000CDFH330102198900001019891220<NA>3폐업3폐업20041215<NA><NA><NA>385-7970<NA>122897서울특별시 은평구 역촌동 31-6번지서울특별시 은평구 진흥로1길 28 (역촌동)<NA>대호체육관2007-10-19 14:37:58I2018-08-31 23:59:59.0<NA>192773.974599455630.884112체육도장업사립0<NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
2293110000CDFH330102202200000320220527<NA>1영업/정상13영업중<NA><NA><NA><NA>02-355-1199<NA><NA>서울특별시 은평구 응암동 4-2서울특별시 은평구 은평로 228, 2층 (응암동)03472ws복싱클럽2022-05-27 14:57:09I2021-12-04 22:09:00.0권투193998.508016455398.38999<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2303110000CDFH330102202200000420220922<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 녹번동 212서울특별시 은평구 은평로 197, 3층 (녹번동)03384녹번복싱2022-09-22 09:55:28I2021-12-08 22:04:00.0권투193717.750478455478.87825<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2313110000CDFH33010220220000052022-12-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 응암동 583-30서울특별시 은평구 불광천길 410-3, B1층 (응암동)03457은평인 검도교실2023-11-21 11:17:50U2022-10-31 22:03:00.0검도192431.495464454444.135993<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2323110000CDFH330102202200000620221222<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 수색동 417 DMC롯데캐슬더퍼스트 제상가2동서울특별시 은평구 수색로 300, 제상가2동 1층 501,502호 (수색동, DMC롯데캐슬더퍼스트)03488한국체대 수색 태권스쿨2022-12-22 18:05:35I2021-11-01 22:04:00.0태권도190373.380194453630.163666<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2333110000CDFH33010220230000012023-02-03<NA>1영업/정상13영업중<NA><NA><NA><NA>02-374-2302<NA><NA>서울특별시 은평구 응암동 119-1서울특별시 은평구 응암로 269, 2층 (응암동)03455엑스퍼트짐2023-02-03 10:23:27I2022-12-02 00:05:00.0권투192762.20687454855.685263<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2343110000CDFH33010220230000022023-08-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 수색동 359-9 2BL동 204호서울특별시 은평구 은평터널로 15, DMC 파인시티자이 2BL동 204호 (수색동)03489수색 국가대표 광무 태권도2023-08-28 09:26:32I2022-12-07 21:00:00.0태권도190615.902172453625.2394<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2353110000CDFH33010220230000032023-12-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 진관동 50서울특별시 은평구 통일로 1031, 3층 (진관동)03312엑스퍼트짐 구파발점2023-12-15 09:27:36I2022-11-01 23:07:00.0권투<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2363110000CDFH33010220240000012024-01-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 응암동 334-32 대창빌딩서울특별시 은평구 응암로14길 14, 대창빌딩 B1층 (응암동)03470TH용인대유도관 응암점2024-03-06 13:19:54U2023-12-03 00:08:00.0유도192768.178482454183.510592<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2373110000CDFH33010220240000022024-03-15<NA>1영업/정상13영업중<NA><NA><NA><NA>02-376-3194<NA><NA>서울특별시 은평구 신사동 183-3 대영빌딩서울특별시 은평구 은평터널로 137, 대영빌딩 3층 (신사동)03446명성태권도장2024-03-15 10:45:06I2023-12-02 23:07:00.0태권도191592.202367454356.59904<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2383110000CDFH33010220240000032024-03-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 역촌동 63-72서울특별시 은평구 연서로 39, 지층 (역촌동)03418531훈무2024-03-20 09:13:44I2023-12-02 22:02:00.0<NA>192469.86741455603.934585<NA><NA><NA><NA><NA><NA><NA><NA><NA>