Overview

Dataset statistics

Number of variables34
Number of observations301
Missing cells2832
Missing cells (%)27.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory85.4 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
Author양천구
URLhttps://data.seoul.go.kr/dataList/OA-19841/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 is highly imbalanced (53.7%)Imbalance
회원모집총인원 is highly imbalanced (89.8%)Imbalance
인허가취소일자 has 301 (100.0%) missing valuesMissing
폐업일자 has 141 (46.8%) missing valuesMissing
휴업시작일자 has 301 (100.0%) missing valuesMissing
휴업종료일자 has 301 (100.0%) missing valuesMissing
재개업일자 has 301 (100.0%) missing valuesMissing
전화번호 has 188 (62.5%) missing valuesMissing
소재지면적 has 301 (100.0%) missing valuesMissing
소재지우편번호 has 84 (27.9%) missing valuesMissing
도로명주소 has 7 (2.3%) missing valuesMissing
도로명우편번호 has 99 (32.9%) missing valuesMissing
좌표정보(X) has 4 (1.3%) missing valuesMissing
좌표정보(Y) has 4 (1.3%) missing valuesMissing
건축물연면적 has 197 (65.4%) missing valuesMissing
세부업종명 has 301 (100.0%) missing valuesMissing
법인명 has 301 (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 59 (19.6%) zerosZeros

Reproduction

Analysis started2024-04-29 20:01:26.404912
Analysis finished2024-04-29 20:01:27.234016
Duration0.83 seconds
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
3140000
301 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3140000
2nd row3140000
3rd row3140000
4th row3140000
5th row3140000

Common Values

ValueCountFrequency (%)
3140000 301
100.0%

Length

2024-04-30T05:01:27.293344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:01:27.365269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3140000 301
100.0%

관리번호
Text

UNIQUE 

Distinct301
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-04-30T05:01:27.510394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters6020
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

Unique301 ?
Unique (%)100.0%

Sample

1st rowCDFH3301021989000001
2nd rowCDFH3301021989000002
3rd rowCDFH3301021989000003
4th rowCDFH3301021989000004
5th rowCDFH3301021989000005
ValueCountFrequency (%)
cdfh3301021989000001 1
 
0.3%
cdfh3301022009000007 1
 
0.3%
cdfh3301022011000002 1
 
0.3%
cdfh3301022011000001 1
 
0.3%
cdfh3301022010000011 1
 
0.3%
cdfh3301022010000010 1
 
0.3%
cdfh3301022010000009 1
 
0.3%
cdfh3301022010000008 1
 
0.3%
cdfh3301022010000007 1
 
0.3%
cdfh3301022010000006 1
 
0.3%
Other values (291) 291
96.7%
2024-04-30T05:01:27.814292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2426
40.3%
3 673
 
11.2%
2 626
 
10.4%
1 595
 
9.9%
C 301
 
5.0%
D 301
 
5.0%
F 301
 
5.0%
H 301
 
5.0%
9 204
 
3.4%
4 78
 
1.3%
Other values (4) 214
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4816
80.0%
Uppercase Letter 1204
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2426
50.4%
3 673
 
14.0%
2 626
 
13.0%
1 595
 
12.4%
9 204
 
4.2%
4 78
 
1.6%
8 62
 
1.3%
7 58
 
1.2%
5 55
 
1.1%
6 39
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 301
25.0%
D 301
25.0%
F 301
25.0%
H 301
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4816
80.0%
Latin 1204
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2426
50.4%
3 673
 
14.0%
2 626
 
13.0%
1 595
 
12.4%
9 204
 
4.2%
4 78
 
1.6%
8 62
 
1.3%
7 58
 
1.2%
5 55
 
1.1%
6 39
 
0.8%
Latin
ValueCountFrequency (%)
C 301
25.0%
D 301
25.0%
F 301
25.0%
H 301
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6020
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2426
40.3%
3 673
 
11.2%
2 626
 
10.4%
1 595
 
9.9%
C 301
 
5.0%
D 301
 
5.0%
F 301
 
5.0%
H 301
 
5.0%
9 204
 
3.4%
4 78
 
1.3%
Other values (4) 214
 
3.6%

인허가일자
Date

Distinct273
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum1989-08-14 00:00:00
Maximum2024-04-18 00:00:00
2024-04-30T05:01:27.993323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:01:28.107599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing301
Missing (%)100.0%
Memory size2.8 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
1
141 
3
136 
4
23 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 141
46.8%
3 136
45.2%
4 23
 
7.6%
5 1
 
0.3%

Length

2024-04-30T05:01:28.235153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:01:28.327905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 141
46.8%
3 136
45.2%
4 23
 
7.6%
5 1
 
0.3%

영업상태명
Categorical

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
영업/정상
141 
폐업
136 
취소/말소/만료/정지/중지
23 
제외/삭제/전출
 
1

Length

Max length14
Median length8
Mean length4.3421927
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 141
46.8%
폐업 136
45.2%
취소/말소/만료/정지/중지 23
 
7.6%
제외/삭제/전출 1
 
0.3%

Length

2024-04-30T05:01:28.421255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:01:28.504596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 141
46.8%
폐업 136
45.2%
취소/말소/만료/정지/중지 23
 
7.6%
제외/삭제/전출 1
 
0.3%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
13
141 
3
136 
35
23 
15
 
1

Length

Max length2
Median length2
Mean length1.5481728
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
13 141
46.8%
3 136
45.2%
35 23
 
7.6%
15 1
 
0.3%

Length

2024-04-30T05:01:28.593331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:01:28.682928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 141
46.8%
3 136
45.2%
35 23
 
7.6%
15 1
 
0.3%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
영업중
141 
폐업
136 
직권말소
23 
전출
 
1

Length

Max length4
Median length3
Mean length2.6212625
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 141
46.8%
폐업 136
45.2%
직권말소 23
 
7.6%
전출 1
 
0.3%

Length

2024-04-30T05:01:28.791351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:01:28.885945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 141
46.8%
폐업 136
45.2%
직권말소 23
 
7.6%
전출 1
 
0.3%

폐업일자
Date

MISSING 

Distinct137
Distinct (%)85.6%
Missing141
Missing (%)46.8%
Memory size2.5 KiB
Minimum1998-02-14 00:00:00
Maximum2024-04-15 00:00:00
2024-04-30T05:01:28.981895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:01:29.101292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing301
Missing (%)100.0%
Memory size2.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing301
Missing (%)100.0%
Memory size2.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing301
Missing (%)100.0%
Memory size2.8 KiB

전화번호
Text

MISSING 

Distinct107
Distinct (%)94.7%
Missing188
Missing (%)62.5%
Memory size2.5 KiB
2024-04-30T05:01:29.343598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length10.061947
Min length8

Characters and Unicode

Total characters1137
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique102 ?
Unique (%)90.3%

Sample

1st row02-2697-5060
2nd row699-0302
3rd row2605-8572
4th row02-2654-3379
5th row2654-5777
ValueCountFrequency (%)
2642-8533 3
 
2.6%
02-2697-5060 2
 
1.7%
2642-9044 2
 
1.7%
2642-8825 2
 
1.7%
02-2647-7824 2
 
1.7%
02-2647-2647 1
 
0.9%
2646-2531 1
 
0.9%
02-2605-7755 1
 
0.9%
2690-7989 1
 
0.9%
02-2697-5679 1
 
0.9%
Other values (99) 99
86.1%
2024-04-30T05:01:29.683485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 221
19.4%
6 159
14.0%
- 148
13.0%
0 124
10.9%
4 103
9.1%
5 92
8.1%
8 61
 
5.4%
9 60
 
5.3%
7 56
 
4.9%
1 55
 
4.8%
Other values (4) 58
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 984
86.5%
Dash Punctuation 148
 
13.0%
Space Separator 3
 
0.3%
Close Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 221
22.5%
6 159
16.2%
0 124
12.6%
4 103
10.5%
5 92
9.3%
8 61
 
6.2%
9 60
 
6.1%
7 56
 
5.7%
1 55
 
5.6%
3 53
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 148
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1137
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 221
19.4%
6 159
14.0%
- 148
13.0%
0 124
10.9%
4 103
9.1%
5 92
8.1%
8 61
 
5.4%
9 60
 
5.3%
7 56
 
4.9%
1 55
 
4.8%
Other values (4) 58
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1137
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 221
19.4%
6 159
14.0%
- 148
13.0%
0 124
10.9%
4 103
9.1%
5 92
8.1%
8 61
 
5.4%
9 60
 
5.3%
7 56
 
4.9%
1 55
 
4.8%
Other values (4) 58
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing301
Missing (%)100.0%
Memory size2.8 KiB

소재지우편번호
Text

MISSING 

Distinct71
Distinct (%)32.7%
Missing84
Missing (%)27.9%
Memory size2.5 KiB
2024-04-30T05:01:29.896477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0276498
Min length6

Characters and Unicode

Total characters1308
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)13.8%

Sample

1st row158860
2nd row158050
3rd row158-806
4th row158843
5th row158858
ValueCountFrequency (%)
158070 18
 
8.3%
158861 12
 
5.5%
158827 10
 
4.6%
158811 8
 
3.7%
158822 8
 
3.7%
158860 7
 
3.2%
158817 7
 
3.2%
158845 7
 
3.2%
158849 7
 
3.2%
158050 7
 
3.2%
Other values (61) 126
58.1%
2024-04-30T05:01:30.207610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 408
31.2%
1 285
21.8%
5 272
20.8%
0 81
 
6.2%
7 60
 
4.6%
2 57
 
4.4%
6 44
 
3.4%
4 42
 
3.2%
3 30
 
2.3%
9 23
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1302
99.5%
Dash Punctuation 6
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 408
31.3%
1 285
21.9%
5 272
20.9%
0 81
 
6.2%
7 60
 
4.6%
2 57
 
4.4%
6 44
 
3.4%
4 42
 
3.2%
3 30
 
2.3%
9 23
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1308
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 408
31.2%
1 285
21.8%
5 272
20.8%
0 81
 
6.2%
7 60
 
4.6%
2 57
 
4.4%
6 44
 
3.4%
4 42
 
3.2%
3 30
 
2.3%
9 23
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1308
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 408
31.2%
1 285
21.8%
5 272
20.8%
0 81
 
6.2%
7 60
 
4.6%
2 57
 
4.4%
6 44
 
3.4%
4 42
 
3.2%
3 30
 
2.3%
9 23
 
1.8%

지번주소
Text

Distinct283
Distinct (%)94.3%
Missing1
Missing (%)0.3%
Memory size2.5 KiB
2024-04-30T05:01:30.417253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length42
Mean length25.37
Min length18

Characters and Unicode

Total characters7611
Distinct characters114
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique269 ?
Unique (%)89.7%

Sample

1st row서울특별시 양천구 신정동 995-4번지
2nd row서울특별시 양천구 목동 923번지 세신플라자 6층
3rd row서울특별시 양천구 신월동 510-2번지
4th row서울특별시 양천구 목동 406-4 508호
5th row서울특별시 양천구 신월동 615-16번지
ValueCountFrequency (%)
양천구 303
21.1%
서울특별시 300
20.9%
신정동 112
 
7.8%
신월동 100
 
7.0%
목동 89
 
6.2%
3층 23
 
1.6%
2층 20
 
1.4%
지층 15
 
1.0%
4층 8
 
0.6%
지하1층 5
 
0.3%
Other values (384) 463
32.2%
2024-04-30T05:01:30.754679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1375
18.1%
동 341
 
4.5%
1 336
 
4.4%
시 307
 
4.0%
양 307
 
4.0%
구 305
 
4.0%
천 304
 
4.0%
서 304
 
4.0%
울 301
 
4.0%
별 300
 
3.9%
Other values (104) 3431
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4349
57.1%
Decimal Number 1572
 
20.7%
Space Separator 1375
 
18.1%
Dash Punctuation 255
 
3.4%
Uppercase Letter 31
 
0.4%
Other Punctuation 11
 
0.1%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%
Math Symbol 5
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 341
 
7.8%
시 307
 
7.1%
양 307
 
7.1%
구 305
 
7.0%
천 304
 
7.0%
서 304
 
7.0%
울 301
 
6.9%
별 300
 
6.9%
특 300
 
6.9%
지 274
 
6.3%
Other values (80) 1306
30.0%
Decimal Number
ValueCountFrequency (%)
1 336
21.4%
2 228
14.5%
3 176
11.2%
0 149
9.5%
4 134
 
8.5%
7 129
 
8.2%
9 127
 
8.1%
5 114
 
7.3%
6 99
 
6.3%
8 80
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
B 15
48.4%
A 11
35.5%
P 2
 
6.5%
T 2
 
6.5%
D 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 9
81.8%
/ 1
 
9.1%
. 1
 
9.1%
Space Separator
ValueCountFrequency (%)
1375
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 255
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4349
57.1%
Common 3230
42.4%
Latin 32
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 341
 
7.8%
시 307
 
7.1%
양 307
 
7.1%
구 305
 
7.0%
천 304
 
7.0%
서 304
 
7.0%
울 301
 
6.9%
별 300
 
6.9%
특 300
 
6.9%
지 274
 
6.3%
Other values (80) 1306
30.0%
Common
ValueCountFrequency (%)
1375
42.6%
1 336
 
10.4%
- 255
 
7.9%
2 228
 
7.1%
3 176
 
5.4%
0 149
 
4.6%
4 134
 
4.1%
7 129
 
4.0%
9 127
 
3.9%
5 114
 
3.5%
Other values (8) 207
 
6.4%
Latin
ValueCountFrequency (%)
B 15
46.9%
A 11
34.4%
P 2
 
6.2%
T 2
 
6.2%
D 1
 
3.1%
c 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4349
57.1%
ASCII 3262
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1375
42.2%
1 336
 
10.3%
- 255
 
7.8%
2 228
 
7.0%
3 176
 
5.4%
0 149
 
4.6%
4 134
 
4.1%
7 129
 
4.0%
9 127
 
3.9%
5 114
 
3.5%
Other values (14) 239
 
7.3%
Hangul
ValueCountFrequency (%)
동 341
 
7.8%
시 307
 
7.1%
양 307
 
7.1%
구 305
 
7.0%
천 304
 
7.0%
서 304
 
7.0%
울 301
 
6.9%
별 300
 
6.9%
특 300
 
6.9%
지 274
 
6.3%
Other values (80) 1306
30.0%

도로명주소
Text

MISSING 

Distinct280
Distinct (%)95.2%
Missing7
Missing (%)2.3%
Memory size2.5 KiB
2024-04-30T05:01:31.004449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length47
Mean length30.333333
Min length22

Characters and Unicode

Total characters8918
Distinct characters143
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique267 ?
Unique (%)90.8%

Sample

1st row서울특별시 양천구 목동로 181 (신정동)
2nd row서울특별시 양천구 목동서로 213 (목동,세신플라자 6층)
3rd row서울특별시 양천구 오목로 62, 3층 (신월동)
4th row서울특별시 양천구 오목로 279 (목동,508호)
5th row서울특별시 양천구 신정중앙로 16-1 (신정동)
ValueCountFrequency (%)
양천구 295
 
17.1%
서울특별시 294
 
17.1%
신월동 83
 
4.8%
신정동 80
 
4.6%
목동 61
 
3.5%
3층 36
 
2.1%
2층 28
 
1.6%
오목로 22
 
1.3%
신월로 18
 
1.0%
목동동로 16
 
0.9%
Other values (397) 790
45.9%
2024-04-30T05:01:31.387002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1537
 
17.2%
동 468
 
5.2%
양 320
 
3.6%
서 314
 
3.5%
시 301
 
3.4%
) 300
 
3.4%
( 300
 
3.4%
천 299
 
3.4%
구 298
 
3.3%
울 295
 
3.3%
Other values (133) 4486
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5221
58.5%
Space Separator 1537
 
17.2%
Decimal Number 1267
 
14.2%
Close Punctuation 300
 
3.4%
Open Punctuation 300
 
3.4%
Other Punctuation 242
 
2.7%
Uppercase Letter 27
 
0.3%
Dash Punctuation 19
 
0.2%
Math Symbol 4
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 468
 
9.0%
양 320
 
6.1%
서 314
 
6.0%
시 301
 
5.8%
천 299
 
5.7%
구 298
 
5.7%
울 295
 
5.7%
별 294
 
5.6%
특 294
 
5.6%
로 293
 
5.6%
Other values (110) 2045
39.2%
Decimal Number
ValueCountFrequency (%)
2 233
18.4%
1 229
18.1%
3 184
14.5%
0 149
11.8%
4 109
8.6%
7 87
 
6.9%
6 77
 
6.1%
5 77
 
6.1%
9 63
 
5.0%
8 59
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
B 16
59.3%
A 8
29.6%
T 1
 
3.7%
P 1
 
3.7%
D 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 241
99.6%
/ 1
 
0.4%
Space Separator
ValueCountFrequency (%)
1537
100.0%
Close Punctuation
ValueCountFrequency (%)
) 300
100.0%
Open Punctuation
ValueCountFrequency (%)
( 300
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5221
58.5%
Common 3669
41.1%
Latin 28
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 468
 
9.0%
양 320
 
6.1%
서 314
 
6.0%
시 301
 
5.8%
천 299
 
5.7%
구 298
 
5.7%
울 295
 
5.7%
별 294
 
5.6%
특 294
 
5.6%
로 293
 
5.6%
Other values (110) 2045
39.2%
Common
ValueCountFrequency (%)
1537
41.9%
) 300
 
8.2%
( 300
 
8.2%
, 241
 
6.6%
2 233
 
6.4%
1 229
 
6.2%
3 184
 
5.0%
0 149
 
4.1%
4 109
 
3.0%
7 87
 
2.4%
Other values (7) 300
 
8.2%
Latin
ValueCountFrequency (%)
B 16
57.1%
A 8
28.6%
T 1
 
3.6%
P 1
 
3.6%
D 1
 
3.6%
c 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5221
58.5%
ASCII 3697
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1537
41.6%
) 300
 
8.1%
( 300
 
8.1%
, 241
 
6.5%
2 233
 
6.3%
1 229
 
6.2%
3 184
 
5.0%
0 149
 
4.0%
4 109
 
2.9%
7 87
 
2.4%
Other values (13) 328
 
8.9%
Hangul
ValueCountFrequency (%)
동 468
 
9.0%
양 320
 
6.1%
서 314
 
6.0%
시 301
 
5.8%
천 299
 
5.7%
구 298
 
5.7%
울 295
 
5.7%
별 294
 
5.6%
특 294
 
5.6%
로 293
 
5.6%
Other values (110) 2045
39.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct107
Distinct (%)53.0%
Missing99
Missing (%)32.9%
Infinite0
Infinite (%)0.0%
Mean11736.252
Minimum7900
Maximum158861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-30T05:01:31.499053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7900
5-th percentile7910.1
Q17958
median8009.5
Q38047.25
95-th percentile8106
Maximum158861
Range150961
Interquartile range (IQR)89.25

Descriptive statistics

Standard deviation23493.616
Coefficient of variation (CV)2.0017988
Kurtosis36.347969
Mean11736.252
Median Absolute Deviation (MAD)48.5
Skewness6.1634338
Sum2370723
Variance5.5194998 × 108
MonotonicityNot monotonic
2024-04-30T05:01:31.602195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7946 6
 
2.0%
8049 5
 
1.7%
8042 5
 
1.7%
7903 4
 
1.3%
8029 4
 
1.3%
8017 4
 
1.3%
8053 4
 
1.3%
8087 4
 
1.3%
8106 4
 
1.3%
7929 4
 
1.3%
Other values (97) 158
52.5%
(Missing) 99
32.9%
ValueCountFrequency (%)
7900 2
0.7%
7903 4
1.3%
7904 1
 
0.3%
7907 1
 
0.3%
7909 2
0.7%
7910 1
 
0.3%
7912 2
0.7%
7914 1
 
0.3%
7919 2
0.7%
7920 2
0.7%
ValueCountFrequency (%)
158861 1
 
0.3%
158849 1
 
0.3%
158842 1
 
0.3%
158827 1
 
0.3%
158813 1
 
0.3%
8110 1
 
0.3%
8107 2
0.7%
8106 4
1.3%
8104 3
1.0%
8101 1
 
0.3%

사업장명
Text

Distinct284
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-04-30T05:01:31.824888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length7.6511628
Min length2

Characters and Unicode

Total characters2303
Distinct characters277
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique268 ?
Unique (%)89.0%

Sample

1st row경희태권도
2nd row목동태권도
3rd row용인대 엄지태권도
4th row비룡1태권도장
5th row민족태권도
ValueCountFrequency (%)
태권도 27
 
6.0%
용인대 15
 
3.3%
태권도장 14
 
3.1%
경희대 11
 
2.4%
체육관 7
 
1.5%
한국체대 6
 
1.3%
석사 5
 
1.1%
목동 4
 
0.9%
국가대표 4
 
0.9%
비룡태권도 3
 
0.7%
Other values (312) 357
78.8%
2024-04-30T05:01:32.163002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 224
 
9.7%
태 206
 
8.9%
권 194
 
8.4%
152
 
6.6%
관 95
 
4.1%
대 81
 
3.5%
체 70
 
3.0%
육 68
 
3.0%
장 52
 
2.3%
경 34
 
1.5%
Other values (267) 1127
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2063
89.6%
Space Separator 152
 
6.6%
Uppercase Letter 53
 
2.3%
Lowercase Letter 13
 
0.6%
Other Punctuation 9
 
0.4%
Decimal Number 5
 
0.2%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Letter Number 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 224
 
10.9%
태 206
 
10.0%
권 194
 
9.4%
관 95
 
4.6%
대 81
 
3.9%
체 70
 
3.4%
육 68
 
3.3%
장 52
 
2.5%
경 34
 
1.6%
희 30
 
1.5%
Other values (228) 1009
48.9%
Uppercase Letter
ValueCountFrequency (%)
M 11
20.8%
S 6
11.3%
T 5
9.4%
J 4
 
7.5%
K 4
 
7.5%
A 4
 
7.5%
G 3
 
5.7%
P 2
 
3.8%
Y 2
 
3.8%
E 2
 
3.8%
Other values (9) 10
18.9%
Lowercase Letter
ValueCountFrequency (%)
r 3
23.1%
e 2
15.4%
a 2
15.4%
s 1
 
7.7%
g 1
 
7.7%
n 1
 
7.7%
m 1
 
7.7%
y 1
 
7.7%
d 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 5
55.6%
& 3
33.3%
' 1
 
11.1%
Decimal Number
ValueCountFrequency (%)
2 3
60.0%
8 1
 
20.0%
1 1
 
20.0%
Space Separator
ValueCountFrequency (%)
152
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2063
89.6%
Common 173
 
7.5%
Latin 67
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 224
 
10.9%
태 206
 
10.0%
권 194
 
9.4%
관 95
 
4.6%
대 81
 
3.9%
체 70
 
3.4%
육 68
 
3.3%
장 52
 
2.5%
경 34
 
1.6%
희 30
 
1.5%
Other values (228) 1009
48.9%
Latin
ValueCountFrequency (%)
M 11
16.4%
S 6
 
9.0%
T 5
 
7.5%
J 4
 
6.0%
K 4
 
6.0%
A 4
 
6.0%
r 3
 
4.5%
G 3
 
4.5%
P 2
 
3.0%
Y 2
 
3.0%
Other values (19) 23
34.3%
Common
ValueCountFrequency (%)
152
87.9%
. 5
 
2.9%
( 3
 
1.7%
) 3
 
1.7%
& 3
 
1.7%
2 3
 
1.7%
' 1
 
0.6%
8 1
 
0.6%
1 1
 
0.6%
- 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2063
89.6%
ASCII 239
 
10.4%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 224
 
10.9%
태 206
 
10.0%
권 194
 
9.4%
관 95
 
4.6%
대 81
 
3.9%
체 70
 
3.4%
육 68
 
3.3%
장 52
 
2.5%
경 34
 
1.6%
희 30
 
1.5%
Other values (228) 1009
48.9%
ASCII
ValueCountFrequency (%)
152
63.6%
M 11
 
4.6%
S 6
 
2.5%
. 5
 
2.1%
T 5
 
2.1%
J 4
 
1.7%
K 4
 
1.7%
A 4
 
1.7%
r 3
 
1.3%
( 3
 
1.3%
Other values (28) 42
 
17.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

최종수정일자
Date

Distinct282
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2002-10-22 17:59:13
Maximum2024-04-18 09:03:44
2024-04-30T05:01:32.271258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:01:32.374516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
I
168 
U
132 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
I 168
55.8%
U 132
43.9%
D 1
 
0.3%

Length

2024-04-30T05:01:32.484960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:01:32.564933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 168
55.8%
u 132
43.9%
d 1
 
0.3%

데이터갱신일자
Date

Distinct105
Distinct (%)34.9%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:08:00
2024-04-30T05:01:32.839900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:01:32.967623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
217 
태권도
53 
합기도
 
13
권투
 
12
유도
 
4
Other values (2)
 
2

Length

Max length4
Median length4
Mean length3.6611296
Min length2

Unique

Unique2 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 217
72.1%
태권도 53
 
17.6%
합기도 13
 
4.3%
권투 12
 
4.0%
유도 4
 
1.3%
검도 1
 
0.3%
우슈 1
 
0.3%

Length

2024-04-30T05:01:33.077530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:01:33.182442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 217
72.1%
태권도 53
 
17.6%
합기도 13
 
4.3%
권투 12
 
4.0%
유도 4
 
1.3%
검도 1
 
0.3%
우슈 1
 
0.3%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct240
Distinct (%)80.8%
Missing4
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean187084.72
Minimum184549.26
Maximum189749.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-30T05:01:33.300808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum184549.26
5-th percentile184854.35
Q1185713.98
median187517.2
Q3188174.25
95-th percentile188953.27
Maximum189749.78
Range5200.5164
Interquartile range (IQR)2460.2717

Descriptive statistics

Standard deviation1401.9782
Coefficient of variation (CV)0.0074938148
Kurtosis-1.3021545
Mean187084.72
Median Absolute Deviation (MAD)1088.5628
Skewness-0.24277447
Sum55564162
Variance1965543
MonotonicityNot monotonic
2024-04-30T05:01:33.435368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187158.467033065 4
 
1.3%
185505.381428112 4
 
1.3%
188317.369539448 4
 
1.3%
188146.152793151 4
 
1.3%
187700.669454473 3
 
1.0%
185099.82674039 3
 
1.0%
187652.903985452 3
 
1.0%
187218.678632421 3
 
1.0%
187950.024484064 3
 
1.0%
185263.865468449 3
 
1.0%
Other values (230) 263
87.4%
(Missing) 4
 
1.3%
ValueCountFrequency (%)
184549.26 1
0.3%
184597.4496425 2
0.7%
184619.809614881 1
0.3%
184641.715758667 1
0.3%
184655.334767094 1
0.3%
184658.763329167 1
0.3%
184669.699654638 2
0.7%
184677.278108268 1
0.3%
184740.746613572 1
0.3%
184748.571712549 1
0.3%
ValueCountFrequency (%)
189749.776358917 1
0.3%
189676.766585898 1
0.3%
189519.862506193 1
0.3%
189508.199599752 1
0.3%
189471.306217651 1
0.3%
189469.901305589 1
0.3%
189332.773428473 2
0.7%
189092.945269213 1
0.3%
189077.657991611 1
0.3%
189030.971172215 2
0.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct240
Distinct (%)80.8%
Missing4
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean447176.63
Minimum444911.61
Maximum449767.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-30T05:01:33.557639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum444911.61
5-th percentile445528.83
Q1446300.8
median446920.33
Q3448216.4
95-th percentile449310.97
Maximum449767.44
Range4855.8321
Interquartile range (IQR)1915.5982

Descriptive statistics

Standard deviation1178.9709
Coefficient of variation (CV)0.002636477
Kurtosis-0.8690735
Mean447176.63
Median Absolute Deviation (MAD)904.25917
Skewness0.28262584
Sum1.3281146 × 108
Variance1389972.4
MonotonicityNot monotonic
2024-04-30T05:01:33.668581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445678.076325463 4
 
1.3%
446337.165995936 4
 
1.3%
448343.976833799 4
 
1.3%
445081.396522145 4
 
1.3%
446513.4690809 3
 
1.0%
445627.497359739 3
 
1.0%
445655.04439912 3
 
1.0%
446571.182104513 3
 
1.0%
448432.130156577 3
 
1.0%
446199.492398091 3
 
1.0%
Other values (230) 263
87.4%
(Missing) 4
 
1.3%
ValueCountFrequency (%)
444911.609710795 1
 
0.3%
445081.396522145 4
1.3%
445113.109971419 1
 
0.3%
445142.765 1
 
0.3%
445166.926423154 1
 
0.3%
445180.40867328 2
0.7%
445185.676080059 1
 
0.3%
445197.198550791 1
 
0.3%
445459.440713374 1
 
0.3%
445524.71062635 2
0.7%
ValueCountFrequency (%)
449767.441786782 1
0.3%
449704.938787495 1
0.3%
449615.800811286 1
0.3%
449596.304559134 1
0.3%
449586.974248859 1
0.3%
449584.740750439 1
0.3%
449578.800268858 2
0.7%
449545.69876539 1
0.3%
449540.781075325 1
0.3%
449483.021664962 1
0.3%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
체육도장업
263 
<NA>
38 

Length

Max length5
Median length5
Mean length4.8737542
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체육도장업 263
87.4%
<NA> 38
 
12.6%

Length

2024-04-30T05:01:33.768525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:01:33.846693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육도장업 263
87.4%
na 38
 
12.6%

공사립구분명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
사립
263 
<NA>
38 

Length

Max length4
Median length2
Mean length2.2524917
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 263
87.4%
<NA> 38
 
12.6%

Length

2024-04-30T05:01:33.952718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:01:34.053373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 263
87.4%
na 38
 
12.6%

보험가입여부코드
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
224 
0
77 

Length

Max length4
Median length4
Mean length3.2325581
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> 224
74.4%
0 77
 
25.6%

Length

2024-04-30T05:01:34.167354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:01:34.254084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 224
74.4%
0 77
 
25.6%

지도자수
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
191 
1
63 
0
47 

Length

Max length4
Median length4
Mean length2.9036545
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> 191
63.5%
1 63
 
20.9%
0 47
 
15.6%

Length

2024-04-30T05:01:34.338740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:01:34.437870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 191
63.5%
1 63
 
20.9%
0 47
 
15.6%

건축물동수
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
221 
0
65 
1
 
15

Length

Max length4
Median length4
Mean length3.2026578
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> 221
73.4%
0 65
 
21.6%
1 15
 
5.0%

Length

2024-04-30T05:01:34.533490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:01:34.617535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 221
73.4%
0 65
 
21.6%
1 15
 
5.0%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct45
Distinct (%)43.3%
Missing197
Missing (%)65.4%
Infinite0
Infinite (%)0.0%
Mean169.2475
Minimum0
Maximum3512.75
Zeros59
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-30T05:01:34.709537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3115.625
95-th percentile706.1575
Maximum3512.75
Range3512.75
Interquartile range (IQR)115.625

Descriptive statistics

Standard deviation480.17555
Coefficient of variation (CV)2.8371205
Kurtosis29.752859
Mean169.2475
Median Absolute Deviation (MAD)0
Skewness5.1128124
Sum17601.74
Variance230568.56
MonotonicityNot monotonic
2024-04-30T05:01:34.841056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0.0 59
 
19.6%
110.0 2
 
0.7%
373.0 1
 
0.3%
365.0 1
 
0.3%
66.82 1
 
0.3%
974.74 1
 
0.3%
115.6 1
 
0.3%
69.0 1
 
0.3%
85.0 1
 
0.3%
691.41 1
 
0.3%
Other values (35) 35
 
11.6%
(Missing) 197
65.4%
ValueCountFrequency (%)
0.0 59
19.6%
66.82 1
 
0.3%
69.0 1
 
0.3%
71.73 1
 
0.3%
82.5 1
 
0.3%
85.0 1
 
0.3%
85.68 1
 
0.3%
85.7 1
 
0.3%
92.12 1
 
0.3%
97.2 1
 
0.3%
ValueCountFrequency (%)
3512.75 1
0.3%
2692.0 1
0.3%
1386.78 1
0.3%
1226.5 1
0.3%
974.74 1
0.3%
708.76 1
0.3%
691.41 1
0.3%
650.35 1
0.3%
636.04 1
0.3%
373.0 1
0.3%

회원모집총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
297 
0
 
4

Length

Max length4
Median length4
Mean length3.9601329
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> 297
98.7%
0 4
 
1.3%

Length

2024-04-30T05:01:34.954459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:01:35.054715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 297
98.7%
0 4
 
1.3%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing301
Missing (%)100.0%
Memory size2.8 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing301
Missing (%)100.0%
Memory size2.8 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03140000CDFH330102198900000119890814<NA>4취소/말소/만료/정지/중지35직권말소20190806<NA><NA><NA><NA><NA>158860서울특별시 양천구 신정동 995-4번지서울특별시 양천구 목동로 181 (신정동)8022경희태권도2019-08-06 19:26:21U2019-08-08 02:40:00.0태권도187943.595446944.9체육도장업사립<NA><NA>00.0<NA><NA><NA>
13140000CDFH330102198900000219890901<NA>3폐업3폐업20190522<NA><NA><NA><NA><NA>158050서울특별시 양천구 목동 923번지 세신플라자 6층서울특별시 양천구 목동서로 213 (목동,세신플라자 6층)7995목동태권도2019-05-22 18:09:08U2019-05-24 02:40:00.0태권도188494.598983447318.660521체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
23140000CDFH330102198900000319891001<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2697-5060<NA><NA>서울특별시 양천구 신월동 510-2번지서울특별시 양천구 오목로 62, 3층 (신월동)8028용인대 엄지태권도2020-02-11 09:15:07U2020-02-13 02:40:00.0태권도186177.77956446691.913422체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
33140000CDFH33010219890000041989-10-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>158-806서울특별시 양천구 목동 406-4 508호서울특별시 양천구 오목로 279 (목동,508호)7993비룡1태권도장2023-12-26 08:51:23U2022-11-01 22:08:00.0태권도188301.080556447086.727981<NA><NA><NA><NA><NA><NA><NA><NA><NA>
43140000CDFH330102198900000519891026<NA>4취소/말소/만료/정지/중지35직권말소20190806<NA><NA><NA><NA><NA>158843서울특별시 양천구 신월동 615-16번지<NA><NA>민족태권도2019-08-06 18:16:04U2019-08-08 02:40:00.0태권도<NA><NA>체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
53140000CDFH330102198900000619891120<NA>3폐업3폐업20030630<NA><NA><NA><NA><NA>158858서울특별시 양천구 신정동 926-2번지서울특별시 양천구 신정중앙로 16-1 (신정동)<NA>양동태권도2003-06-30 09:23:26I2018-08-31 23:59:59.0<NA>186982.277564447274.814222체육도장업사립0<NA><NA><NA><NA><NA><NA>
63140000CDFH330102198900000719891207<NA>3폐업3폐업20000720<NA><NA><NA><NA><NA>158807서울특별시 양천구 목동 507-1번지서울특별시 양천구 공항대로 604 (목동)<NA>무궁화권투체육관2002-10-22 17:59:13I2018-08-31 23:59:59.0<NA>188606.55749449419.821081체육도장업사립<NA>000.0<NA><NA><NA>
73140000CDFH330102198900000819891211<NA>3폐업3폐업20010131<NA><NA><NA><NA><NA>158070서울특별시 양천구 신정동 1032-9번지<NA><NA>무청용태권도2002-10-22 17:59:13I2018-08-31 23:59:59.0<NA>186992.136769446353.458428체육도장업사립<NA>000.0<NA><NA><NA>
83140000CDFH330102198900000919891211<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 526-6서울특별시 양천구 목동중앙북로16길 7-5 (목동)7971흑룡태권도2020-09-29 09:56:17U2020-10-01 02:40:00.0태권도188813.506891449308.89438체육도장업사립<NA><NA>00.0<NA><NA><NA>
93140000CDFH330102198900001019891211<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>158847서울특별시 양천구 신월동 987-1서울특별시 양천구 신월로 99 (신월동)8042연세백호태권도2020-08-28 16:35:05U2020-08-30 02:40:00.0태권도185263.865468446199.492398체육도장업사립<NA><NA>00.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
2913140000CDFH330102202200000420220721<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신월동 161-13서울특별시 양천구 남부순환로46길 28, 3층 (신월동)7912고려태권도장2022-07-21 15:47:16I2021-12-06 22:03:00.0태권도184669.699655447927.931916<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2923140000CDFH330102202200000520220905<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신월동 416-2서울특별시 양천구 오목로3길 37, 3층 (신월동)7928태남태사 키즈 태권도2022-09-05 08:56:12I2021-12-09 00:07:00.0태권도185610.155254446926.022999<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2933140000CDFH330102202300000120230103<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신월동 991-1서울특별시 양천구 지양로 30, 3층 (신월동)8041관우합기도2023-01-03 17:27:50I2022-12-01 00:05:00.0합기도185505.381428446337.165996<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2943140000CDFH33010220230000022023-07-20<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2698-2492<NA><NA>서울특별시 양천구 신정동 1182-17서울특별시 양천구 중앙로23길 32, 씨엘프라자 4층 401호 (신정동)8073태낭태사 태권도장 다온관2023-07-20 16:07:21I2022-12-06 22:02:00.0태권도186960.700582446185.414992<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2953140000CDFH33010220230000032023-08-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 748-7서울특별시 양천구 목동중앙본로3길 10, 2층 (목동)7960아라한태권도2023-08-30 08:49:22I2022-12-09 00:01:00.0태권도188338.449364448558.704682<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2963140000CDFH33010220230000042023-10-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 610-23 자성빌딩서울특별시 양천구 목동중앙북로 19-1, 자성빌딩 3층 (목동)7946메이드 헬스장 & PT 등촌역점2024-03-13 14:52:29D2023-12-02 23:05:00.0<NA>188080.1784449596.304559<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2973140000CDFH33010220240000012024-01-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 930 현대아파트서울특별시 양천구 목동동로 202, B1층 10호 (목동, 현대아파트)8005목동용인대백호유도체육관2024-01-17 15:47:38I2023-11-30 23:09:00.0유도188592.022765446811.351835<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2983140000CDFH33010220240000022024-01-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신월동 986-6 2층서울특별시 양천구 지양로3길 9, 2층 (신월동)8042비룡태권도장2024-01-29 09:03:27I2023-11-30 21:01:00.0태권도185432.556588446260.834902<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2993140000CDFH33010220240000032024-03-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 1147-12서울특별시 양천구 중앙로 215, 지하1층 (신정동)8077히트앤핏 목동 키즈 MMA 주짓수2024-03-15 09:21:51I2023-12-02 23:07:00.0권투187070.357347445946.301564<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3003140000CDFH33010220240000042024-04-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신월동 546-25서울특별시 양천구 신월로 149, 지하1층 (신월동)8032파이널유도멀티짐 신곡시장점2024-04-18 09:03:44I2023-12-03 22:00:00.0유도185810.065888446160.866333<NA><NA><NA><NA><NA><NA><NA><NA><NA>