Overview

Dataset statistics

Number of variables34
Number of observations299
Missing cells2722
Missing cells (%)26.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory84.8 KiB
Average record size in memory290.4 B

Variable types

Categorical13
Text6
DateTime4
Unsupported7
Numeric4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,공사립구분명,보험가입여부코드,지도자수,건축물동수,건축물연면적,회원모집총인원,세부업종명,법인명
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-19842/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
보험가입여부코드 is highly imbalanced (62.8%)Imbalance
회원모집총인원 is highly imbalanced (87.7%)Imbalance
인허가취소일자 has 299 (100.0%) missing valuesMissing
폐업일자 has 183 (61.2%) missing valuesMissing
휴업시작일자 has 299 (100.0%) missing valuesMissing
휴업종료일자 has 299 (100.0%) missing valuesMissing
재개업일자 has 299 (100.0%) missing valuesMissing
전화번호 has 70 (23.4%) missing valuesMissing
소재지면적 has 299 (100.0%) missing valuesMissing
소재지우편번호 has 116 (38.8%) missing valuesMissing
도로명주소 has 13 (4.3%) missing valuesMissing
도로명우편번호 has 112 (37.5%) missing valuesMissing
좌표정보(X) has 15 (5.0%) missing valuesMissing
좌표정보(Y) has 15 (5.0%) missing valuesMissing
건축물연면적 has 105 (35.1%) missing valuesMissing
세부업종명 has 299 (100.0%) missing valuesMissing
법인명 has 299 (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 39 (13.0%) zerosZeros

Reproduction

Analysis started2024-05-11 05:22:03.462362
Analysis finished2024-05-11 05:22:04.839490
Duration1.38 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
3150000
299 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3150000
2nd row3150000
3rd row3150000
4th row3150000
5th row3150000

Common Values

ValueCountFrequency (%)
3150000 299
100.0%

Length

2024-05-11T14:22:04.970438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:05.127775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 299
100.0%

관리번호
Text

UNIQUE 

Distinct299
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-05-11T14:22:05.309870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters5980
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

Unique299 ?
Unique (%)100.0%

Sample

1st rowCDFH3301021981000001
2nd rowCDFH3301021982000001
3rd rowCDFH3301021982000002
4th rowCDFH3301021985000001
5th rowCDFH3301021985000002
ValueCountFrequency (%)
cdfh3301021981000001 1
 
0.3%
cdfh3301022013000004 1
 
0.3%
cdfh3301022013000002 1
 
0.3%
cdfh3301022013000001 1
 
0.3%
cdfh3301022012000005 1
 
0.3%
cdfh3301022012000004 1
 
0.3%
cdfh3301022012000003 1
 
0.3%
cdfh3301022012000001 1
 
0.3%
cdfh3301022011000005 1
 
0.3%
cdfh3301022011000004 1
 
0.3%
Other values (289) 289
96.7%
2024-05-11T14:22:05.618505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2406
40.2%
3 682
 
11.4%
2 630
 
10.5%
1 581
 
9.7%
C 299
 
5.0%
D 299
 
5.0%
F 299
 
5.0%
H 299
 
5.0%
9 178
 
3.0%
4 85
 
1.4%
Other values (4) 222
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4784
80.0%
Uppercase Letter 1196
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2406
50.3%
3 682
 
14.3%
2 630
 
13.2%
1 581
 
12.1%
9 178
 
3.7%
4 85
 
1.8%
5 63
 
1.3%
8 61
 
1.3%
6 52
 
1.1%
7 46
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 299
25.0%
D 299
25.0%
F 299
25.0%
H 299
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4784
80.0%
Latin 1196
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2406
50.3%
3 682
 
14.3%
2 630
 
13.2%
1 581
 
12.1%
9 178
 
3.7%
4 85
 
1.8%
5 63
 
1.3%
8 61
 
1.3%
6 52
 
1.1%
7 46
 
1.0%
Latin
ValueCountFrequency (%)
C 299
25.0%
D 299
25.0%
F 299
25.0%
H 299
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5980
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2406
40.2%
3 682
 
11.4%
2 630
 
10.5%
1 581
 
9.7%
C 299
 
5.0%
D 299
 
5.0%
F 299
 
5.0%
H 299
 
5.0%
9 178
 
3.0%
4 85
 
1.4%
Other values (4) 222
 
3.7%

인허가일자
Date

Distinct282
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum1981-10-07 00:00:00
Maximum2024-03-15 00:00:00
2024-05-11T14:22:05.762790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:22:05.908679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing299
Missing (%)100.0%
Memory size2.8 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
1
183 
3
110 
4
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 183
61.2%
3 110
36.8%
4 6
 
2.0%

Length

2024-05-11T14:22:06.048125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:06.195610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 183
61.2%
3 110
36.8%
4 6
 
2.0%

영업상태명
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
영업/정상
183 
폐업
110 
취소/말소/만료/정지/중지
 
6

Length

Max length14
Median length5
Mean length4.0769231
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 183
61.2%
폐업 110
36.8%
취소/말소/만료/정지/중지 6
 
2.0%

Length

2024-05-11T14:22:06.305696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:06.439035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 183
61.2%
폐업 110
36.8%
취소/말소/만료/정지/중지 6
 
2.0%

상세영업상태코드
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
13
183 
3
110 
35
 
6

Length

Max length2
Median length2
Mean length1.632107
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 183
61.2%
3 110
36.8%
35 6
 
2.0%

Length

2024-05-11T14:22:06.567612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:06.698270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 183
61.2%
3 110
36.8%
35 6
 
2.0%

상세영업상태명
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
영업중
183 
폐업
110 
직권말소
 
6

Length

Max length4
Median length3
Mean length2.6521739
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 183
61.2%
폐업 110
36.8%
직권말소 6
 
2.0%

Length

2024-05-11T14:22:06.859896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:06.982402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 183
61.2%
폐업 110
36.8%
직권말소 6
 
2.0%

폐업일자
Date

MISSING 

Distinct109
Distinct (%)94.0%
Missing183
Missing (%)61.2%
Memory size2.5 KiB
Minimum1987-06-16 00:00:00
Maximum2024-03-06 00:00:00
2024-05-11T14:22:07.121601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:22:07.288218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing299
Missing (%)100.0%
Memory size2.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing299
Missing (%)100.0%
Memory size2.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing299
Missing (%)100.0%
Memory size2.8 KiB

전화번호
Text

MISSING 

Distinct216
Distinct (%)94.3%
Missing70
Missing (%)23.4%
Memory size2.5 KiB
2024-05-11T14:22:07.635566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length9.2532751
Min length7

Characters and Unicode

Total characters2119
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

Unique205 ?
Unique (%)89.5%

Sample

1st row693-7226
2nd row2605-1360
3rd row691-8887
4th row2651-2000
5th row02-2696-1100
ValueCountFrequency (%)
2691-1030 3
 
1.3%
2643-0808 3
 
1.3%
3661-9297 2
 
0.9%
2691-1261 2
 
0.9%
2668-7960 2
 
0.9%
3665-9922 2
 
0.9%
3664-1266 2
 
0.9%
665-5744 2
 
0.9%
3664-8686 2
 
0.9%
3663-2007 2
 
0.9%
Other values (206) 207
90.4%
2024-05-11T14:22:08.218878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 453
21.4%
2 301
14.2%
- 258
12.2%
0 168
 
7.9%
3 160
 
7.6%
9 152
 
7.2%
1 148
 
7.0%
5 134
 
6.3%
8 131
 
6.2%
7 111
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1861
87.8%
Dash Punctuation 258
 
12.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 453
24.3%
2 301
16.2%
0 168
 
9.0%
3 160
 
8.6%
9 152
 
8.2%
1 148
 
8.0%
5 134
 
7.2%
8 131
 
7.0%
7 111
 
6.0%
4 103
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 258
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2119
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 453
21.4%
2 301
14.2%
- 258
12.2%
0 168
 
7.9%
3 160
 
7.6%
9 152
 
7.2%
1 148
 
7.0%
5 134
 
6.3%
8 131
 
6.2%
7 111
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2119
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 453
21.4%
2 301
14.2%
- 258
12.2%
0 168
 
7.9%
3 160
 
7.6%
9 152
 
7.2%
1 148
 
7.0%
5 134
 
6.3%
8 131
 
6.2%
7 111
 
5.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing299
Missing (%)100.0%
Memory size2.8 KiB

소재지우편번호
Text

MISSING 

Distinct78
Distinct (%)42.6%
Missing116
Missing (%)38.8%
Memory size2.5 KiB
2024-05-11T14:22:08.622632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0437158
Min length6

Characters and Unicode

Total characters1106
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

Unique36 ?
Unique (%)19.7%

Sample

1st row157918
2nd row157870
3rd row157879
4th row157898
5th row157280
ValueCountFrequency (%)
157280 11
 
6.0%
157030 9
 
4.9%
157884 8
 
4.4%
157847 8
 
4.4%
157861 7
 
3.8%
157918 6
 
3.3%
157836 6
 
3.3%
157879 5
 
2.7%
157842 4
 
2.2%
157812 4
 
2.2%
Other values (68) 115
62.8%
2024-05-11T14:22:09.203788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 233
21.1%
7 218
19.7%
5 206
18.6%
8 160
14.5%
0 77
 
7.0%
9 51
 
4.6%
2 44
 
4.0%
4 38
 
3.4%
6 36
 
3.3%
3 35
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1098
99.3%
Dash Punctuation 8
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 233
21.2%
7 218
19.9%
5 206
18.8%
8 160
14.6%
0 77
 
7.0%
9 51
 
4.6%
2 44
 
4.0%
4 38
 
3.5%
6 36
 
3.3%
3 35
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1106
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 233
21.1%
7 218
19.7%
5 206
18.6%
8 160
14.5%
0 77
 
7.0%
9 51
 
4.6%
2 44
 
4.0%
4 38
 
3.4%
6 36
 
3.3%
3 35
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1106
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 233
21.1%
7 218
19.7%
5 206
18.6%
8 160
14.5%
0 77
 
7.0%
9 51
 
4.6%
2 44
 
4.0%
4 38
 
3.4%
6 36
 
3.3%
3 35
 
3.2%

지번주소
Text

Distinct290
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-05-11T14:22:09.639472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length45
Mean length27.334448
Min length18

Characters and Unicode

Total characters8173
Distinct characters188
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

Unique282 ?
Unique (%)94.3%

Sample

1st row서울특별시 강서구 화곡동 1024-11번지
2nd row서울특별시 강서구 화곡동 84-4번지 2층
3rd row서울특별시 강서구 화곡동 340-42번지
4th row서울특별시 강서구 화곡동 801-15번지
5th row서울특별시 강서구 화곡동 362-86 3층
ValueCountFrequency (%)
서울특별시 299
19.1%
강서구 299
19.1%
화곡동 106
 
6.8%
2층 57
 
3.6%
3층 52
 
3.3%
등촌동 44
 
2.8%
방화동 42
 
2.7%
내발산동 32
 
2.0%
염창동 24
 
1.5%
마곡동 21
 
1.3%
Other values (457) 589
37.6%
2024-05-11T14:22:10.315234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1477
18.1%
서 600
 
7.3%
동 327
 
4.0%
시 305
 
3.7%
강 304
 
3.7%
1 302
 
3.7%
구 301
 
3.7%
특 299
 
3.7%
별 299
 
3.7%
울 299
 
3.7%
Other values (178) 3660
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4659
57.0%
Decimal Number 1730
 
21.2%
Space Separator 1477
 
18.1%
Dash Punctuation 258
 
3.2%
Other Punctuation 22
 
0.3%
Uppercase Letter 8
 
0.1%
Open Punctuation 7
 
0.1%
Close Punctuation 7
 
0.1%
Math Symbol 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 600
12.9%
동 327
 
7.0%
시 305
 
6.5%
강 304
 
6.5%
구 301
 
6.5%
특 299
 
6.4%
별 299
 
6.4%
울 299
 
6.4%
지 249
 
5.3%
번 206
 
4.4%
Other values (158) 1470
31.6%
Decimal Number
ValueCountFrequency (%)
1 302
17.5%
2 227
13.1%
3 214
12.4%
6 171
9.9%
0 164
9.5%
4 143
8.3%
5 134
7.7%
7 132
7.6%
9 122
7.1%
8 121
7.0%
Other Punctuation
ValueCountFrequency (%)
, 20
90.9%
@ 1
 
4.5%
/ 1
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
B 5
62.5%
A 3
37.5%
Space Separator
ValueCountFrequency (%)
1477
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 258
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4659
57.0%
Common 3506
42.9%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 600
12.9%
동 327
 
7.0%
시 305
 
6.5%
강 304
 
6.5%
구 301
 
6.5%
특 299
 
6.4%
별 299
 
6.4%
울 299
 
6.4%
지 249
 
5.3%
번 206
 
4.4%
Other values (158) 1470
31.6%
Common
ValueCountFrequency (%)
1477
42.1%
1 302
 
8.6%
- 258
 
7.4%
2 227
 
6.5%
3 214
 
6.1%
6 171
 
4.9%
0 164
 
4.7%
4 143
 
4.1%
5 134
 
3.8%
7 132
 
3.8%
Other values (8) 284
 
8.1%
Latin
ValueCountFrequency (%)
B 5
62.5%
A 3
37.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4659
57.0%
ASCII 3514
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1477
42.0%
1 302
 
8.6%
- 258
 
7.3%
2 227
 
6.5%
3 214
 
6.1%
6 171
 
4.9%
0 164
 
4.7%
4 143
 
4.1%
5 134
 
3.8%
7 132
 
3.8%
Other values (10) 292
 
8.3%
Hangul
ValueCountFrequency (%)
서 600
12.9%
동 327
 
7.0%
시 305
 
6.5%
강 304
 
6.5%
구 301
 
6.5%
특 299
 
6.4%
별 299
 
6.4%
울 299
 
6.4%
지 249
 
5.3%
번 206
 
4.4%
Other values (158) 1470
31.6%

도로명주소
Text

MISSING 

Distinct283
Distinct (%)99.0%
Missing13
Missing (%)4.3%
Memory size2.5 KiB
2024-05-11T14:22:10.978978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length52
Mean length32.555944
Min length22

Characters and Unicode

Total characters9311
Distinct characters203
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

Unique280 ?
Unique (%)97.9%

Sample

1st row서울특별시 강서구 강서로39길 8 (화곡동)
2nd row서울특별시 강서구 우현로 15, 2층 (화곡동)
3rd row서울특별시 강서구 강서로16길 5 (화곡동)
4th row서울특별시 강서구 곰달래로53길 26 (화곡동)
5th row서울특별시 강서구 가로공원로76길 73, 3층 (화곡동)
ValueCountFrequency (%)
서울특별시 286
 
16.1%
강서구 286
 
16.1%
화곡동 83
 
4.7%
2층 54
 
3.0%
3층 42
 
2.4%
등촌동 30
 
1.7%
방화동 29
 
1.6%
내발산동 25
 
1.4%
양천로 21
 
1.2%
마곡동 19
 
1.1%
Other values (489) 900
50.7%
2024-05-11T14:22:12.944262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1549
 
16.6%
서 625
 
6.7%
강 340
 
3.7%
동 327
 
3.5%
, 304
 
3.3%
로 301
 
3.2%
시 292
 
3.1%
) 291
 
3.1%
( 291
 
3.1%
별 286
 
3.1%
Other values (193) 4705
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5355
57.5%
Space Separator 1549
 
16.6%
Decimal Number 1474
 
15.8%
Other Punctuation 305
 
3.3%
Close Punctuation 291
 
3.1%
Open Punctuation 291
 
3.1%
Dash Punctuation 30
 
0.3%
Uppercase Letter 10
 
0.1%
Math Symbol 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 625
 
11.7%
강 340
 
6.3%
동 327
 
6.1%
로 301
 
5.6%
시 292
 
5.5%
별 286
 
5.3%
특 286
 
5.3%
구 286
 
5.3%
울 286
 
5.3%
화 204
 
3.8%
Other values (174) 2122
39.6%
Decimal Number
ValueCountFrequency (%)
1 256
17.4%
3 237
16.1%
2 226
15.3%
4 146
9.9%
6 126
8.5%
0 126
8.5%
5 124
8.4%
7 85
 
5.8%
9 83
 
5.6%
8 65
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 304
99.7%
/ 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
B 7
70.0%
A 3
30.0%
Space Separator
ValueCountFrequency (%)
1549
100.0%
Close Punctuation
ValueCountFrequency (%)
) 291
100.0%
Open Punctuation
ValueCountFrequency (%)
( 291
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5355
57.5%
Common 3946
42.4%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 625
 
11.7%
강 340
 
6.3%
동 327
 
6.1%
로 301
 
5.6%
시 292
 
5.5%
별 286
 
5.3%
특 286
 
5.3%
구 286
 
5.3%
울 286
 
5.3%
화 204
 
3.8%
Other values (174) 2122
39.6%
Common
ValueCountFrequency (%)
1549
39.3%
, 304
 
7.7%
) 291
 
7.4%
( 291
 
7.4%
1 256
 
6.5%
3 237
 
6.0%
2 226
 
5.7%
4 146
 
3.7%
6 126
 
3.2%
0 126
 
3.2%
Other values (7) 394
 
10.0%
Latin
ValueCountFrequency (%)
B 7
70.0%
A 3
30.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5355
57.5%
ASCII 3956
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1549
39.2%
, 304
 
7.7%
) 291
 
7.4%
( 291
 
7.4%
1 256
 
6.5%
3 237
 
6.0%
2 226
 
5.7%
4 146
 
3.7%
6 126
 
3.2%
0 126
 
3.2%
Other values (9) 404
 
10.2%
Hangul
ValueCountFrequency (%)
서 625
 
11.7%
강 340
 
6.3%
동 327
 
6.1%
로 301
 
5.6%
시 292
 
5.5%
별 286
 
5.3%
특 286
 
5.3%
구 286
 
5.3%
울 286
 
5.3%
화 204
 
3.8%
Other values (174) 2122
39.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct122
Distinct (%)65.2%
Missing112
Missing (%)37.5%
Infinite0
Infinite (%)0.0%
Mean11670.487
Minimum7510
Maximum157930
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-05-11T14:22:13.433641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7510
5-th percentile7529
Q17594
median7651
Q37734.5
95-th percentile7807
Maximum157930
Range150420
Interquartile range (IQR)140.5

Descriptive statistics

Standard deviation24296.927
Coefficient of variation (CV)2.0819121
Kurtosis33.343483
Mean11670.487
Median Absolute Deviation (MAD)65
Skewness5.9149402
Sum2182381
Variance5.9034067 × 108
MonotonicityNot monotonic
2024-05-11T14:22:14.019441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7599 6
 
2.0%
7635 6
 
2.0%
7651 4
 
1.3%
7638 4
 
1.3%
7705 3
 
1.0%
7807 3
 
1.0%
7808 3
 
1.0%
7761 3
 
1.0%
7748 3
 
1.0%
7529 3
 
1.0%
Other values (112) 149
49.8%
(Missing) 112
37.5%
ValueCountFrequency (%)
7510 1
 
0.3%
7516 2
0.7%
7519 1
 
0.3%
7523 1
 
0.3%
7524 2
0.7%
7525 1
 
0.3%
7529 3
1.0%
7531 1
 
0.3%
7532 2
0.7%
7533 1
 
0.3%
ValueCountFrequency (%)
157930 1
 
0.3%
157884 1
 
0.3%
157861 1
 
0.3%
157847 1
 
0.3%
157810 1
 
0.3%
7808 3
1.0%
7807 3
1.0%
7806 1
 
0.3%
7803 1
 
0.3%
7798 1
 
0.3%

사업장명
Text

Distinct288
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-05-11T14:22:14.340031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length8.3311037
Min length2

Characters and Unicode

Total characters2491
Distinct characters293
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

Unique280 ?
Unique (%)93.6%

Sample

1st row학사
2nd row한국체대 호랑이
3rd row영광
4th row신라
5th row상무
ValueCountFrequency (%)
태권도 34
 
6.2%
태권도장 26
 
4.7%
용인대 19
 
3.5%
체육관 13
 
2.4%
경희대 11
 
2.0%
강서 8
 
1.5%
국가대표 7
 
1.3%
한국체대 7
 
1.3%
복싱클럽 6
 
1.1%
합기도 6
 
1.1%
Other values (343) 412
75.0%
2024-05-11T14:22:14.905627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
252
 
10.1%
도 190
 
7.6%
권 150
 
6.0%
태 148
 
5.9%
관 92
 
3.7%
대 77
 
3.1%
체 76
 
3.1%
육 69
 
2.8%
장 59
 
2.4%
경 36
 
1.4%
Other values (283) 1342
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2025
81.3%
Space Separator 252
 
10.1%
Uppercase Letter 144
 
5.8%
Lowercase Letter 39
 
1.6%
Other Punctuation 13
 
0.5%
Close Punctuation 7
 
0.3%
Open Punctuation 7
 
0.3%
Decimal Number 3
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 190
 
9.4%
권 150
 
7.4%
태 148
 
7.3%
관 92
 
4.5%
대 77
 
3.8%
체 76
 
3.8%
육 69
 
3.4%
장 59
 
2.9%
경 36
 
1.8%
국 32
 
1.6%
Other values (230) 1096
54.1%
Uppercase Letter
ValueCountFrequency (%)
M 17
 
11.8%
S 13
 
9.0%
A 11
 
7.6%
T 10
 
6.9%
K 10
 
6.9%
B 9
 
6.2%
G 8
 
5.6%
W 7
 
4.9%
I 7
 
4.9%
N 6
 
4.2%
Other values (13) 46
31.9%
Lowercase Letter
ValueCountFrequency (%)
n 7
17.9%
e 5
12.8%
o 4
10.3%
i 3
 
7.7%
x 2
 
5.1%
a 2
 
5.1%
u 2
 
5.1%
g 2
 
5.1%
d 2
 
5.1%
f 1
 
2.6%
Other values (9) 9
23.1%
Other Punctuation
ValueCountFrequency (%)
. 6
46.2%
& 5
38.5%
? 1
 
7.7%
, 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
8 1
33.3%
7 1
33.3%
4 1
33.3%
Space Separator
ValueCountFrequency (%)
252
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2025
81.3%
Common 283
 
11.4%
Latin 183
 
7.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 190
 
9.4%
권 150
 
7.4%
태 148
 
7.3%
관 92
 
4.5%
대 77
 
3.8%
체 76
 
3.8%
육 69
 
3.4%
장 59
 
2.9%
경 36
 
1.8%
국 32
 
1.6%
Other values (230) 1096
54.1%
Latin
ValueCountFrequency (%)
M 17
 
9.3%
S 13
 
7.1%
A 11
 
6.0%
T 10
 
5.5%
K 10
 
5.5%
B 9
 
4.9%
G 8
 
4.4%
W 7
 
3.8%
I 7
 
3.8%
n 7
 
3.8%
Other values (32) 84
45.9%
Common
ValueCountFrequency (%)
252
89.0%
) 7
 
2.5%
( 7
 
2.5%
. 6
 
2.1%
& 5
 
1.8%
? 1
 
0.4%
- 1
 
0.4%
8 1
 
0.4%
7 1
 
0.4%
, 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2025
81.3%
ASCII 466
 
18.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
252
54.1%
M 17
 
3.6%
S 13
 
2.8%
A 11
 
2.4%
T 10
 
2.1%
K 10
 
2.1%
B 9
 
1.9%
G 8
 
1.7%
W 7
 
1.5%
I 7
 
1.5%
Other values (43) 122
26.2%
Hangul
ValueCountFrequency (%)
도 190
 
9.4%
권 150
 
7.4%
태 148
 
7.3%
관 92
 
4.5%
대 77
 
3.8%
체 76
 
3.8%
육 69
 
3.4%
장 59
 
2.9%
경 36
 
1.8%
국 32
 
1.6%
Other values (230) 1096
54.1%

최종수정일자
Date

Distinct280
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2003-04-18 11:50:37
Maximum2024-04-12 16:50:40
2024-05-11T14:22:15.104031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:22:15.299015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
I
182 
U
117 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 182
60.9%
U 117
39.1%

Length

2024-05-11T14:22:15.510033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:15.681465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 182
60.9%
u 117
39.1%

데이터갱신일자
Date

Distinct120
Distinct (%)40.1%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:05:00
2024-05-11T14:22:15.834514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:22:16.061718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct8
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
태권도
137 
<NA>
83 
권투
38 
검도
14 
합기도
 
13
Other values (3)
14 

Length

Max length4
Median length3
Mean length3.0635452
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
태권도 137
45.8%
<NA> 83
27.8%
권투 38
 
12.7%
검도 14
 
4.7%
합기도 13
 
4.3%
유도 11
 
3.7%
레슬링 2
 
0.7%
우슈 1
 
0.3%

Length

2024-05-11T14:22:16.313459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:16.482053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
태권도 137
45.8%
na 83
27.8%
권투 38
 
12.7%
검도 14
 
4.7%
합기도 13
 
4.3%
유도 11
 
3.7%
레슬링 2
 
0.7%
우슈 1
 
0.3%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct247
Distinct (%)87.0%
Missing15
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean185878.19
Minimum182882.61
Maximum189098.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-05-11T14:22:16.687329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182882.61
5-th percentile183246.49
Q1184631.22
median186015.45
Q3187144.52
95-th percentile188427.94
Maximum189098.81
Range6216.1966
Interquartile range (IQR)2513.3007

Descriptive statistics

Standard deviation1587.479
Coefficient of variation (CV)0.0085404263
Kurtosis-0.86212588
Mean185878.19
Median Absolute Deviation (MAD)1157.7244
Skewness-0.18785496
Sum52789407
Variance2520089.6
MonotonicityNot monotonic
2024-05-11T14:22:16.889880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187524.325961005 3
 
1.0%
186027.031985849 3
 
1.0%
185181.24403834 3
 
1.0%
185529.213617478 3
 
1.0%
187747.587175026 3
 
1.0%
187338.704711909 3
 
1.0%
187582.851731743 2
 
0.7%
185813.867246668 2
 
0.7%
187034.317305052 2
 
0.7%
183607.552740873 2
 
0.7%
Other values (237) 258
86.3%
(Missing) 15
 
5.0%
ValueCountFrequency (%)
182882.61020059 1
0.3%
182968.796339956 1
0.3%
182983.398791677 1
0.3%
183017.198989475 1
0.3%
183046.848238676 1
0.3%
183049.525160207 1
0.3%
183094.694866371 1
0.3%
183096.228020098 1
0.3%
183116.294494255 1
0.3%
183138.257688198 1
0.3%
ValueCountFrequency (%)
189098.806779959 1
0.3%
188892.449990741 1
0.3%
188843.428976776 1
0.3%
188757.679293187 1
0.3%
188731.032830709 1
0.3%
188719.000495826 1
0.3%
188714.737338629 1
0.3%
188663.852192358 1
0.3%
188647.207494149 1
0.3%
188594.616243687 1
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct247
Distinct (%)87.0%
Missing15
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean450038.99
Minimum447328.54
Maximum452922.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-05-11T14:22:17.100753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447328.54
5-th percentile447762.09
Q1449027.42
median450098.29
Q3451006.67
95-th percentile452304.87
Maximum452922.98
Range5594.4391
Interquartile range (IQR)1979.2444

Descriptive statistics

Standard deviation1433.2932
Coefficient of variation (CV)0.0031848201
Kurtosis-0.92499459
Mean450038.99
Median Absolute Deviation (MAD)998.0488
Skewness-0.057242411
Sum1.2781107 × 108
Variance2054329.5
MonotonicityNot monotonic
2024-05-11T14:22:17.312479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447875.758969482 3
 
1.0%
450396.99299038 3
 
1.0%
449171.602254545 3
 
1.0%
448241.501517472 3
 
1.0%
449268.710920447 3
 
1.0%
447867.556673698 3
 
1.0%
451006.669081811 2
 
0.7%
451100.321374976 2
 
0.7%
451572.877049653 2
 
0.7%
451990.173820538 2
 
0.7%
Other values (237) 258
86.3%
(Missing) 15
 
5.0%
ValueCountFrequency (%)
447328.54126812 1
0.3%
447377.82704763 1
0.3%
447603.391227235 1
0.3%
447618.105648251 1
0.3%
447645.579024684 1
0.3%
447653.061783246 1
0.3%
447661.321545469 1
0.3%
447672.984669764 1
0.3%
447705.907584138 1
0.3%
447712.715990744 1
0.3%
ValueCountFrequency (%)
452922.98039021 2
0.7%
452817.469477897 2
0.7%
452786.226054081 1
0.3%
452514.491608298 1
0.3%
452504.78048233 1
0.3%
452387.315435644 1
0.3%
452378.178107204 1
0.3%
452342.618122287 2
0.7%
452335.433564391 1
0.3%
452330.601841269 1
0.3%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
체육도장업
234 
<NA>
65 

Length

Max length5
Median length5
Mean length4.7826087
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체육도장업 234
78.3%
<NA> 65
 
21.7%

Length

2024-05-11T14:22:17.516139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:17.672169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육도장업 234
78.3%
na 65
 
21.7%

공사립구분명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
사립
234 
<NA>
65 

Length

Max length4
Median length2
Mean length2.4347826
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 234
78.3%
<NA> 65
 
21.7%

Length

2024-05-11T14:22:17.884925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:18.080169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 234
78.3%
na 65
 
21.7%

보험가입여부코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
259 
0
39 
1
 
1

Length

Max length4
Median length4
Mean length3.5986622
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 259
86.6%
0 39
 
13.0%
1 1
 
0.3%

Length

2024-05-11T14:22:18.249169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:18.427407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 259
86.6%
0 39
 
13.0%
1 1
 
0.3%

지도자수
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
172 
1
103 
0
24 

Length

Max length4
Median length4
Mean length2.7257525
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> 172
57.5%
1 103
34.4%
0 24
 
8.0%

Length

2024-05-11T14:22:18.599290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:18.759402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 172
57.5%
1 103
34.4%
0 24
 
8.0%

건축물동수
Categorical

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
174 
1
73 
0
51 
3
 
1

Length

Max length4
Median length4
Mean length2.7458194
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row0
2nd row1
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 174
58.2%
1 73
24.4%
0 51
 
17.1%
3 1
 
0.3%

Length

2024-05-11T14:22:18.928952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:19.110764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 174
58.2%
1 73
24.4%
0 51
 
17.1%
3 1
 
0.3%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct141
Distinct (%)72.7%
Missing105
Missing (%)35.1%
Infinite0
Infinite (%)0.0%
Mean2341.0595
Minimum0
Maximum43215.07
Zeros39
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-05-11T14:22:19.345520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1482.45
median839.64
Q31399.0425
95-th percentile11509.588
Maximum43215.07
Range43215.07
Interquartile range (IQR)916.5925

Descriptive statistics

Standard deviation5504.8277
Coefficient of variation (CV)2.3514258
Kurtosis23.493358
Mean2341.0595
Median Absolute Deviation (MAD)466.115
Skewness4.5256349
Sum454165.54
Variance30303129
MonotonicityNot monotonic
2024-05-11T14:22:19.550449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
13.0%
903.95 3
 
1.0%
867.65 3
 
1.0%
792.71 3
 
1.0%
1794.38 2
 
0.7%
2316.17 2
 
0.7%
652.89 2
 
0.7%
3797.55 2
 
0.7%
1064.4 2
 
0.7%
702.26 2
 
0.7%
Other values (131) 134
44.8%
(Missing) 105
35.1%
ValueCountFrequency (%)
0.0 39
13.0%
100.37 1
 
0.3%
286.29 1
 
0.3%
323.58 1
 
0.3%
345.68 1
 
0.3%
364.37 1
 
0.3%
398.63 1
 
0.3%
425.08 1
 
0.3%
426.06 1
 
0.3%
439.34 1
 
0.3%
ValueCountFrequency (%)
43215.07 1
0.3%
31759.58 1
0.3%
25068.91 1
0.3%
24999.01 1
0.3%
23591.7 1
0.3%
20474.94 1
0.3%
20125.33 1
0.3%
16607.0 1
0.3%
12418.54 1
0.3%
11720.26 1
0.3%

회원모집총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
294 
0
 
5

Length

Max length4
Median length4
Mean length3.9498328
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> 294
98.3%
0 5
 
1.7%

Length

2024-05-11T14:22:19.788041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:19.942777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 294
98.3%
0 5
 
1.7%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing299
Missing (%)100.0%
Memory size2.8 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing299
Missing (%)100.0%
Memory size2.8 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03150000CDFH330102198100000119811007<NA>1영업/정상13영업중<NA><NA><NA><NA>693-7226<NA>157918서울특별시 강서구 화곡동 1024-11번지서울특별시 강서구 강서로39길 8 (화곡동)7706학사2015-08-31 11:38:58I2018-08-31 23:59:59.0태권도185536.947569449134.230727체육도장업사립<NA><NA>00.0<NA><NA><NA>
13150000CDFH330102198200000119820517<NA>1영업/정상13영업중<NA><NA><NA><NA>2605-1360<NA>157870서울특별시 강서구 화곡동 84-4번지 2층서울특별시 강서구 우현로 15, 2층 (화곡동)7695한국체대 호랑이2015-06-22 11:46:57I2018-08-31 23:59:59.0태권도186110.03682449447.450705체육도장업사립<NA><NA>11050.9<NA><NA><NA>
23150000CDFH330102198200000219820302<NA>3폐업3폐업20000621<NA><NA><NA>691-8887<NA>157879서울특별시 강서구 화곡동 340-42번지서울특별시 강서구 강서로16길 5 (화곡동)<NA>영광2003-04-18 11:50:37I2018-08-31 23:59:59.0<NA>186374.840559447846.280989체육도장업사립<NA>000.0<NA><NA><NA>
33150000CDFH330102198500000119850928<NA>3폐업3폐업19870616<NA><NA><NA>2651-2000<NA>157898서울특별시 강서구 화곡동 801-15번지서울특별시 강서구 곰달래로53길 26 (화곡동)<NA>신라2005-06-16 14:55:24I2018-08-31 23:59:59.0<NA>187524.325961447875.758969체육도장업사립0<NA><NA><NA><NA><NA><NA>
43150000CDFH330102198500000219851010<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2696-1100<NA><NA>서울특별시 강서구 화곡동 362-86 3층서울특별시 강서구 가로공원로76길 73, 3층 (화곡동)7767상무2021-04-05 18:19:42U2021-04-07 02:40:00.0태권도185660.928827447983.117021체육도장업사립<NA><NA><NA>845.25<NA><NA><NA>
53150000CDFH330102198500000319850424<NA>3폐업3폐업20181220<NA><NA><NA>2693-9549<NA><NA>서울특별시 강서구 내발산동 720-20번지 3층서울특별시 강서구 강서로45나길 27, 3층 (내발산동)7639금메달2018-12-20 17:13:23U2018-12-22 02:40:00.0태권도185390.641908449676.954631체육도장업사립<NA><NA>01043.03<NA><NA><NA>
63150000CDFH330102198600000119860909<NA>3폐업3폐업20001027<NA><NA><NA><NA><NA>157280서울특별시 강서구 내발산동 677-10번지서울특별시 강서구 강서로 306 (내발산동)<NA>왕호2003-04-18 11:50:37I2018-08-31 23:59:59.0<NA>185507.160392450080.816861체육도장업사립<NA>000.0<NA><NA><NA>
73150000CDFH330102198600000219860724<NA>3폐업3폐업20010212<NA><NA><NA>3661-9069<NA>157801서울특별시 강서구 가양동 249-7번지서울특별시 강서구 양천로49길 53 (가양동)<NA>광무태권도체육도장2003-04-18 11:50:37I2018-08-31 23:59:59.0<NA>185829.136528452098.968398체육도장업사립<NA>000.0<NA><NA><NA>
83150000CDFH330102198600000319860531<NA>3폐업3폐업20080403<NA><NA><NA>663-7350<NA>157829서울특별시 강서구 내발산동 680-13번지<NA><NA>새국제2008-04-03 15:07:23I2018-08-31 23:59:59.0<NA>185385.896819450076.944765체육도장업사립0<NA><NA><NA><NA><NA><NA>
93150000CDFH330102198600000419860528<NA>3폐업3폐업20000824<NA><NA><NA>608-2311<NA>157904서울특별시 강서구 화곡동 849-15번지<NA><NA>제일권투체육관2003-04-18 11:50:37I2018-08-31 23:59:59.0<NA>187157.811938447672.98467체육도장업사립<NA>000.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
2893150000CDFH33010220230000052023-03-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 염창동 258-1 염창동동아3차아파트서울특별시 강서구 양천로 731, 309동 204-1호 (염창동, 염창동동아3차아파트)7539파이널유도 멀티짐2023-03-08 14:53:12I2022-12-02 23:00:00.0유도189098.80678449777.659575<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2903150000CDFH33010220230000062023-04-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 340-57 대강빌딩서울특별시 강서구 강서로18길 16, 대강빌딩 2층 (화곡동)7756용인대 양천유도관 본관2023-04-12 16:20:20I2022-12-03 23:05:00.0유도186383.43721447944.444676<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2913150000CDFH33010220230000072023-04-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 등촌동 668-1서울특별시 강서구 강서로54길 94, 3층 (등촌동)7591I AM FIRST BOXING GYM2023-04-21 13:14:31I2022-12-03 22:03:00.0권투186127.664858450708.646841<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2923150000CDFH33010220230000082023-05-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 349-15 광성빌딩서울특별시 강서구 강서로17길 6, 광성빌딩 지층 (화곡동)7764싸비복싱 멀티짐(킥복싱?컨디셔닝)2023-05-15 09:41:06I2022-12-04 23:07:00.0권투186250.204082447918.395992<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2933150000CDFH33010220230000092023-06-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 970-19서울특별시 강서구 까치산로 102, 1층, 지하1층 (화곡동)7674강서 월드 체육관2023-06-19 11:38:46I2022-12-05 22:01:00.0태권도186579.324125449454.391633<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2943150000CDFH33010220230000102023-10-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 내발산동 750 발산로얄타워서울특별시 강서구 수명로 82, 발산로얄타워 503호 (내발산동)7635WS 복싱클럽2023-10-23 14:23:33I2022-10-30 22:05:00.0권투184596.054749450145.997297<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2953150000CDFH33010220230000112023-11-01<NA>3폐업3폐업2023-12-01<NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 888-9서울특별시 강서구 국회대로7길 213, B101호 (화곡동)7787KICK and RUN2023-12-01 14:32:51U2022-11-02 00:03:00.0합기도186591.218385447377.827048<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2963150000CDFH33010220230000122023-12-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 797-7 퀸즈파크텐 319호서울특별시 강서구 마곡중앙6로 66, 퀸즈파크텐 319호 (마곡동)7803마곡와이어주짓수2023-12-20 10:04:38I2022-11-01 22:03:00.0레슬링185292.766644450863.026924<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2973150000CDFH33010220240000012024-02-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 등촌동 656-7 백촌빌딩서울특별시 강서구 화곡로 376, 백촌빌딩 4층 (등촌동)7572성무회 검도관2024-02-27 18:48:45I2023-12-01 22:09:00.0검도186967.214091450534.970936<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2983150000CDFH33010220240000022024-03-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 공항동 1356-8 3층서울특별시 강서구 방화대로6길 39, 3층 (공항동)7645이화 멀티짐2024-03-15 08:48:00I2023-12-02 23:07:00.0태권도183922.864895450297.370014<NA><NA><NA><NA><NA><NA><NA><NA><NA>