Overview

Dataset statistics

Number of variables34
Number of observations222
Missing cells2346
Missing cells (%)31.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory62.8 KiB
Average record size in memory289.6 B

Variable types

Categorical12
Text6
DateTime5
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
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-19863/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has constant value ""Constant
보험가입여부코드 is highly imbalanced (67.8%)Imbalance
건축물동수 is highly imbalanced (55.0%)Imbalance
회원모집총인원 is highly imbalanced (83.6%)Imbalance
인허가취소일자 has 221 (99.5%) missing valuesMissing
폐업일자 has 119 (53.6%) missing valuesMissing
휴업시작일자 has 222 (100.0%) missing valuesMissing
휴업종료일자 has 222 (100.0%) missing valuesMissing
재개업일자 has 222 (100.0%) missing valuesMissing
전화번호 has 65 (29.3%) missing valuesMissing
소재지면적 has 222 (100.0%) missing valuesMissing
소재지우편번호 has 153 (68.9%) missing valuesMissing
도로명주소 has 6 (2.7%) missing valuesMissing
도로명우편번호 has 64 (28.8%) missing valuesMissing
업태구분명 has 222 (100.0%) missing valuesMissing
좌표정보(X) has 6 (2.7%) missing valuesMissing
좌표정보(Y) has 6 (2.7%) missing valuesMissing
건축물연면적 has 152 (68.5%) missing valuesMissing
세부업종명 has 222 (100.0%) missing valuesMissing
법인명 has 222 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
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
업태구분명 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 43 (19.4%) zerosZeros

Reproduction

Analysis started2024-05-11 06:22:48.254044
Analysis finished2024-05-11 06:22:49.408915
Duration1.15 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
3110000
222 

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 222
100.0%

Length

2024-05-11T15:22:49.539325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:49.722242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 222
100.0%

관리번호
Text

UNIQUE 

Distinct222
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-05-11T15:22:50.036014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters4440
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

Unique222 ?
Unique (%)100.0%

Sample

1st rowCDFH3301061989000001
2nd rowCDFH3301061989000002
3rd rowCDFH3301061989000003
4th rowCDFH3301061990000001
5th rowCDFH3301061990000002
ValueCountFrequency (%)
cdfh3301061989000001 1
 
0.5%
cdfh3301062018000003 1
 
0.5%
cdfh3301062019000002 1
 
0.5%
cdfh3301062016000003 1
 
0.5%
cdfh3301062017000001 1
 
0.5%
cdfh3301062017000002 1
 
0.5%
cdfh3301062017000003 1
 
0.5%
cdfh3301062017000004 1
 
0.5%
cdfh3301062017000005 1
 
0.5%
cdfh3301062017000006 1
 
0.5%
Other values (212) 212
95.5%
2024-05-11T15:22:50.587934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1788
40.3%
3 511
 
11.5%
1 424
 
9.5%
2 319
 
7.2%
6 249
 
5.6%
C 222
 
5.0%
D 222
 
5.0%
F 222
 
5.0%
H 222
 
5.0%
9 107
 
2.4%
Other values (4) 154
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3552
80.0%
Uppercase Letter 888
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1788
50.3%
3 511
 
14.4%
1 424
 
11.9%
2 319
 
9.0%
6 249
 
7.0%
9 107
 
3.0%
4 59
 
1.7%
5 45
 
1.3%
7 29
 
0.8%
8 21
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
C 222
25.0%
D 222
25.0%
F 222
25.0%
H 222
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3552
80.0%
Latin 888
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1788
50.3%
3 511
 
14.4%
1 424
 
11.9%
2 319
 
9.0%
6 249
 
7.0%
9 107
 
3.0%
4 59
 
1.7%
5 45
 
1.3%
7 29
 
0.8%
8 21
 
0.6%
Latin
ValueCountFrequency (%)
C 222
25.0%
D 222
25.0%
F 222
25.0%
H 222
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4440
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1788
40.3%
3 511
 
11.5%
1 424
 
9.5%
2 319
 
7.2%
6 249
 
5.6%
C 222
 
5.0%
D 222
 
5.0%
F 222
 
5.0%
H 222
 
5.0%
9 107
 
2.4%
Other values (4) 154
 
3.5%

인허가일자
Date

Distinct216
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum1989-12-20 00:00:00
Maximum2024-05-03 00:00:00
2024-05-11T15:22:50.878956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:22:51.149870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing221
Missing (%)99.5%
Memory size1.9 KiB
Minimum2023-12-14 00:00:00
Maximum2023-12-14 00:00:00
2024-05-11T15:22:51.334779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:22:51.501071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

영업상태코드
Categorical

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
1
118 
3
102 
5
 
1
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
1 118
53.2%
3 102
45.9%
5 1
 
0.5%
4 1
 
0.5%

Length

2024-05-11T15:22:51.686590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:51.828043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 118
53.2%
3 102
45.9%
5 1
 
0.5%
4 1
 
0.5%

영업상태명
Categorical

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
영업/정상
118 
폐업
102 
제외/삭제/전출
 
1
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length3.6756757
Min length2

Unique

Unique2 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 118
53.2%
폐업 102
45.9%
제외/삭제/전출 1
 
0.5%
취소/말소/만료/정지/중지 1
 
0.5%

Length

2024-05-11T15:22:52.007207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:52.198473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 118
53.2%
폐업 102
45.9%
제외/삭제/전출 1
 
0.5%
취소/말소/만료/정지/중지 1
 
0.5%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
13
118 
3
102 
15
 
1
32
 
1

Length

Max length2
Median length2
Mean length1.5405405
Min length1

Unique

Unique2 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
13 118
53.2%
3 102
45.9%
15 1
 
0.5%
32 1
 
0.5%

Length

2024-05-11T15:22:52.449560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:52.642784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 118
53.2%
3 102
45.9%
15 1
 
0.5%
32 1
 
0.5%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
영업중
118 
폐업
102 
전출
 
1
신고취소
 
1

Length

Max length4
Median length3
Mean length2.5405405
Min length2

Unique

Unique2 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 118
53.2%
폐업 102
45.9%
전출 1
 
0.5%
신고취소 1
 
0.5%

Length

2024-05-11T15:22:52.926726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:53.163376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 118
53.2%
폐업 102
45.9%
전출 1
 
0.5%
신고취소 1
 
0.5%

폐업일자
Date

MISSING 

Distinct80
Distinct (%)77.7%
Missing119
Missing (%)53.6%
Memory size1.9 KiB
Minimum1997-05-06 00:00:00
Maximum2024-04-08 00:00:00
2024-05-11T15:22:53.404685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:22:53.612503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing222
Missing (%)100.0%
Memory size2.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing222
Missing (%)100.0%
Memory size2.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing222
Missing (%)100.0%
Memory size2.1 KiB

전화번호
Text

MISSING 

Distinct156
Distinct (%)99.4%
Missing65
Missing (%)29.3%
Memory size1.9 KiB
2024-05-11T15:22:54.260146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.3694268
Min length8

Characters and Unicode

Total characters1471
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

Unique155 ?
Unique (%)98.7%

Sample

1st row385-6559
2nd row385-8500
3rd row356-8408
4th row304-1800
5th row385-6600
ValueCountFrequency (%)
303-0783 2
 
1.3%
02-921-1317 1
 
0.6%
386-9494 1
 
0.6%
385-6559 1
 
0.6%
02-353-2399 1
 
0.6%
384-8080 1
 
0.6%
02-352-7300 1
 
0.6%
02-383-8281 1
 
0.6%
385-4777 1
 
0.6%
373-3088 1
 
0.6%
Other values (146) 146
93.0%
2024-05-11T15:22:54.839078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 243
16.5%
- 223
15.2%
0 191
13.0%
2 149
10.1%
5 147
10.0%
8 138
9.4%
7 102
6.9%
9 79
 
5.4%
6 72
 
4.9%
1 65
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1248
84.8%
Dash Punctuation 223
 
15.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 243
19.5%
0 191
15.3%
2 149
11.9%
5 147
11.8%
8 138
11.1%
7 102
8.2%
9 79
 
6.3%
6 72
 
5.8%
1 65
 
5.2%
4 62
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 223
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1471
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 243
16.5%
- 223
15.2%
0 191
13.0%
2 149
10.1%
5 147
10.0%
8 138
9.4%
7 102
6.9%
9 79
 
5.4%
6 72
 
4.9%
1 65
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1471
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 243
16.5%
- 223
15.2%
0 191
13.0%
2 149
10.1%
5 147
10.0%
8 138
9.4%
7 102
6.9%
9 79
 
5.4%
6 72
 
4.9%
1 65
 
4.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing222
Missing (%)100.0%
Memory size2.1 KiB

소재지우편번호
Text

MISSING 

Distinct46
Distinct (%)66.7%
Missing153
Missing (%)68.9%
Memory size1.9 KiB
2024-05-11T15:22:55.259809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0289855
Min length6

Characters and Unicode

Total characters416
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

Unique34 ?
Unique (%)49.3%

Sample

1st row122859
2nd row122858
3rd row122959
4th row122920
5th row122842
ValueCountFrequency (%)
122810 5
 
7.2%
122852 4
 
5.8%
122859 3
 
4.3%
122842 3
 
4.3%
122924 3
 
4.3%
122910 3
 
4.3%
122837 3
 
4.3%
122923 3
 
4.3%
122880 2
 
2.9%
122878 2
 
2.9%
Other values (36) 38
55.1%
2024-05-11T15:22:55.903008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 158
38.0%
1 85
20.4%
8 58
 
13.9%
9 31
 
7.5%
0 22
 
5.3%
7 19
 
4.6%
3 16
 
3.8%
5 14
 
3.4%
4 10
 
2.4%
- 2
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 414
99.5%
Dash Punctuation 2
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 158
38.2%
1 85
20.5%
8 58
 
14.0%
9 31
 
7.5%
0 22
 
5.3%
7 19
 
4.6%
3 16
 
3.9%
5 14
 
3.4%
4 10
 
2.4%
6 1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 416
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 158
38.0%
1 85
20.4%
8 58
 
13.9%
9 31
 
7.5%
0 22
 
5.3%
7 19
 
4.6%
3 16
 
3.8%
5 14
 
3.4%
4 10
 
2.4%
- 2
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 416
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 158
38.0%
1 85
20.4%
8 58
 
13.9%
9 31
 
7.5%
0 22
 
5.3%
7 19
 
4.6%
3 16
 
3.8%
5 14
 
3.4%
4 10
 
2.4%
- 2
 
0.5%

지번주소
Text

Distinct219
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-05-11T15:22:56.283435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length35
Mean length25.261261
Min length17

Characters and Unicode

Total characters5608
Distinct characters192
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique216 ?
Unique (%)97.3%

Sample

1st row서울특별시 은평구 불광동 304-18번지
2nd row서울특별시 은평구 불광동 281-175번지
3rd row서울특별시 은평구 갈현동 451-1번지
4th row서울특별시 은평구 응암동 419-220번지
5th row서울특별시 은평구 대조동 185-1번지
ValueCountFrequency (%)
서울특별시 222
19.6%
은평구 222
19.6%
응암동 49
 
4.3%
갈현동 34
 
3.0%
불광동 27
 
2.4%
역촌동 26
 
2.3%
대조동 23
 
2.0%
3층 22
 
1.9%
2층 17
 
1.5%
녹번동 15
 
1.3%
Other values (350) 474
41.9%
2024-05-11T15:22:56.970710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1029
18.3%
동 243
 
4.3%
구 231
 
4.1%
은 229
 
4.1%
1 227
 
4.0%
평 227
 
4.0%
서 223
 
4.0%
시 222
 
4.0%
별 222
 
4.0%
울 222
 
4.0%
Other values (182) 2533
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3288
58.6%
Decimal Number 1049
 
18.7%
Space Separator 1029
 
18.3%
Dash Punctuation 202
 
3.6%
Other Punctuation 18
 
0.3%
Uppercase Letter 17
 
0.3%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 243
 
7.4%
구 231
 
7.0%
은 229
 
7.0%
평 227
 
6.9%
서 223
 
6.8%
시 222
 
6.8%
별 222
 
6.8%
울 222
 
6.8%
특 222
 
6.8%
지 110
 
3.3%
Other values (151) 1137
34.6%
Uppercase Letter
ValueCountFrequency (%)
I 2
11.8%
P 2
11.8%
B 2
11.8%
T 2
11.8%
H 1
 
5.9%
D 1
 
5.9%
A 1
 
5.9%
C 1
 
5.9%
N 1
 
5.9%
E 1
 
5.9%
Other values (3) 3
17.6%
Decimal Number
ValueCountFrequency (%)
1 227
21.6%
2 159
15.2%
4 113
10.8%
3 112
10.7%
5 87
 
8.3%
0 86
 
8.2%
6 75
 
7.1%
7 71
 
6.8%
8 69
 
6.6%
9 50
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 15
83.3%
. 2
 
11.1%
? 1
 
5.6%
Space Separator
ValueCountFrequency (%)
1029
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 202
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3288
58.6%
Common 2302
41.0%
Latin 18
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 243
 
7.4%
구 231
 
7.0%
은 229
 
7.0%
평 227
 
6.9%
서 223
 
6.8%
시 222
 
6.8%
별 222
 
6.8%
울 222
 
6.8%
특 222
 
6.8%
지 110
 
3.3%
Other values (151) 1137
34.6%
Common
ValueCountFrequency (%)
1029
44.7%
1 227
 
9.9%
- 202
 
8.8%
2 159
 
6.9%
4 113
 
4.9%
3 112
 
4.9%
5 87
 
3.8%
0 86
 
3.7%
6 75
 
3.3%
7 71
 
3.1%
Other values (7) 141
 
6.1%
Latin
ValueCountFrequency (%)
I 2
11.1%
P 2
11.1%
B 2
11.1%
T 2
11.1%
H 1
 
5.6%
D 1
 
5.6%
A 1
 
5.6%
C 1
 
5.6%
N 1
 
5.6%
E 1
 
5.6%
Other values (4) 4
22.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3288
58.6%
ASCII 2319
41.4%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1029
44.4%
1 227
 
9.8%
- 202
 
8.7%
2 159
 
6.9%
4 113
 
4.9%
3 112
 
4.8%
5 87
 
3.8%
0 86
 
3.7%
6 75
 
3.2%
7 71
 
3.1%
Other values (20) 158
 
6.8%
Hangul
ValueCountFrequency (%)
동 243
 
7.4%
구 231
 
7.0%
은 229
 
7.0%
평 227
 
6.9%
서 223
 
6.8%
시 222
 
6.8%
별 222
 
6.8%
울 222
 
6.8%
특 222
 
6.8%
지 110
 
3.3%
Other values (151) 1137
34.6%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

도로명주소
Text

MISSING 

Distinct212
Distinct (%)98.1%
Missing6
Missing (%)2.7%
Memory size1.9 KiB
2024-05-11T15:22:57.463712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length47
Mean length30.444444
Min length21

Characters and Unicode

Total characters6576
Distinct characters198
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique208 ?
Unique (%)96.3%

Sample

1st row서울특별시 은평구 통일로 828 (불광동)
2nd row서울특별시 은평구 통일로 716 (불광동)
3rd row서울특별시 은평구 갈현로 260 (갈현동)
4th row서울특별시 은평구 응암로22길 18-1 (응암동)
5th row서울특별시 은평구 통일로 845 (대조동)
ValueCountFrequency (%)
서울특별시 216
 
16.1%
은평구 216
 
16.1%
응암동 44
 
3.3%
갈현동 29
 
2.2%
은평로 26
 
1.9%
통일로 26
 
1.9%
역촌동 25
 
1.9%
3층 25
 
1.9%
2층 22
 
1.6%
불광동 22
 
1.6%
Other values (364) 691
51.5%
2024-05-11T15:22:58.375406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1175
 
17.9%
서 266
 
4.0%
은 258
 
3.9%
평 256
 
3.9%
동 232
 
3.5%
구 225
 
3.4%
로 221
 
3.4%
시 217
 
3.3%
( 217
 
3.3%
) 217
 
3.3%
Other values (188) 3292
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3824
58.2%
Space Separator 1175
 
17.9%
Decimal Number 880
 
13.4%
Open Punctuation 217
 
3.3%
Close Punctuation 217
 
3.3%
Other Punctuation 210
 
3.2%
Dash Punctuation 32
 
0.5%
Uppercase Letter 20
 
0.3%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 266
 
7.0%
은 258
 
6.7%
평 256
 
6.7%
동 232
 
6.1%
구 225
 
5.9%
로 221
 
5.8%
시 217
 
5.7%
별 216
 
5.6%
특 216
 
5.6%
울 216
 
5.6%
Other values (160) 1501
39.3%
Uppercase Letter
ValueCountFrequency (%)
B 7
35.0%
P 2
 
10.0%
T 2
 
10.0%
I 2
 
10.0%
H 1
 
5.0%
D 1
 
5.0%
A 1
 
5.0%
S 1
 
5.0%
E 1
 
5.0%
R 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
2 171
19.4%
1 154
17.5%
3 117
13.3%
6 76
8.6%
0 71
8.1%
4 66
 
7.5%
8 64
 
7.3%
5 62
 
7.0%
7 53
 
6.0%
9 46
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 209
99.5%
. 1
 
0.5%
Space Separator
ValueCountFrequency (%)
1175
100.0%
Open Punctuation
ValueCountFrequency (%)
( 217
100.0%
Close Punctuation
ValueCountFrequency (%)
) 217
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3824
58.2%
Common 2731
41.5%
Latin 21
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 266
 
7.0%
은 258
 
6.7%
평 256
 
6.7%
동 232
 
6.1%
구 225
 
5.9%
로 221
 
5.8%
시 217
 
5.7%
별 216
 
5.6%
특 216
 
5.6%
울 216
 
5.6%
Other values (160) 1501
39.3%
Common
ValueCountFrequency (%)
1175
43.0%
( 217
 
7.9%
) 217
 
7.9%
, 209
 
7.7%
2 171
 
6.3%
1 154
 
5.6%
3 117
 
4.3%
6 76
 
2.8%
0 71
 
2.6%
4 66
 
2.4%
Other values (6) 258
 
9.4%
Latin
ValueCountFrequency (%)
B 7
33.3%
P 2
 
9.5%
T 2
 
9.5%
I 2
 
9.5%
H 1
 
4.8%
D 1
 
4.8%
Ⅰ 1
 
4.8%
A 1
 
4.8%
S 1
 
4.8%
E 1
 
4.8%
Other values (2) 2
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3824
58.2%
ASCII 2751
41.8%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1175
42.7%
( 217
 
7.9%
) 217
 
7.9%
, 209
 
7.6%
2 171
 
6.2%
1 154
 
5.6%
3 117
 
4.3%
6 76
 
2.8%
0 71
 
2.6%
4 66
 
2.4%
Other values (17) 278
 
10.1%
Hangul
ValueCountFrequency (%)
서 266
 
7.0%
은 258
 
6.7%
평 256
 
6.7%
동 232
 
6.1%
구 225
 
5.9%
로 221
 
5.8%
시 217
 
5.7%
별 216
 
5.6%
특 216
 
5.6%
울 216
 
5.6%
Other values (160) 1501
39.3%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct88
Distinct (%)55.7%
Missing64
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean4153.4747
Minimum3301
Maximum122910
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-05-11T15:22:58.772956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3301
5-th percentile3306
Q13344
median3400
Q33453
95-th percentile3486.05
Maximum122910
Range119609
Interquartile range (IQR)109

Descriptive statistics

Standard deviation9508.1085
Coefficient of variation (CV)2.2891938
Kurtosis157.9885
Mean4153.4747
Median Absolute Deviation (MAD)54
Skewness12.569123
Sum656249
Variance90404127
MonotonicityNot monotonic
2024-05-11T15:22:59.098457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3306 11
 
5.0%
3396 5
 
2.3%
3330 5
 
2.3%
3454 5
 
2.3%
3421 5
 
2.3%
3405 4
 
1.8%
3336 4
 
1.8%
3465 3
 
1.4%
3472 3
 
1.4%
3385 3
 
1.4%
Other values (78) 110
49.5%
(Missing) 64
28.8%
ValueCountFrequency (%)
3301 1
 
0.5%
3306 11
5.0%
3311 1
 
0.5%
3320 1
 
0.5%
3322 1
 
0.5%
3324 1
 
0.5%
3325 2
 
0.9%
3328 2
 
0.9%
3329 2
 
0.9%
3330 5
2.3%
ValueCountFrequency (%)
122910 1
0.5%
3505 1
0.5%
3504 1
0.5%
3502 1
0.5%
3497 1
0.5%
3493 2
0.9%
3492 1
0.5%
3485 1
0.5%
3484 2
0.9%
3476 1
0.5%

사업장명
Text

Distinct220
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-05-11T15:22:59.800962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length23
Mean length7.3063063
Min length3

Characters and Unicode

Total characters1622
Distinct characters288
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique218 ?
Unique (%)98.2%

Sample

1st row성헌헬쓰클럽
2nd row대광헬쓰클럽
3rd row창일헬스크럽
4th row한진체육관
5th row극동헬쓰클럽
ValueCountFrequency (%)
헬스 6
 
1.9%
스포애니 6
 
1.9%
pt 5
 
1.6%
gym 5
 
1.6%
피트니스 5
 
1.6%
주)케이디헬스케어 4
 
1.3%
휘트니스 4
 
1.3%
응암점 4
 
1.3%
빅브로짐 2
 
0.6%
트레이닝센터 2
 
0.6%
Other values (259) 269
86.2%
2024-05-11T15:23:00.641879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 155
 
9.6%
90
 
5.5%
헬 83
 
5.1%
트 50
 
3.1%
니 50
 
3.1%
짐 49
 
3.0%
이 43
 
2.7%
럽 38
 
2.3%
휘 30
 
1.8%
클 26
 
1.6%
Other values (278) 1008
62.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1330
82.0%
Uppercase Letter 122
 
7.5%
Space Separator 90
 
5.5%
Lowercase Letter 40
 
2.5%
Other Punctuation 13
 
0.8%
Close Punctuation 9
 
0.6%
Open Punctuation 9
 
0.6%
Decimal Number 8
 
0.5%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 155
 
11.7%
헬 83
 
6.2%
트 50
 
3.8%
니 50
 
3.8%
짐 49
 
3.7%
이 43
 
3.2%
럽 38
 
2.9%
휘 30
 
2.3%
클 26
 
2.0%
디 21
 
1.6%
Other values (229) 785
59.0%
Uppercase Letter
ValueCountFrequency (%)
T 17
13.9%
P 15
12.3%
M 14
11.5%
G 10
 
8.2%
Y 9
 
7.4%
N 7
 
5.7%
O 6
 
4.9%
S 6
 
4.9%
A 6
 
4.9%
E 5
 
4.1%
Other values (12) 27
22.1%
Lowercase Letter
ValueCountFrequency (%)
e 7
17.5%
d 4
10.0%
i 4
10.0%
m 4
10.0%
a 4
10.0%
o 4
10.0%
t 3
7.5%
s 3
7.5%
u 2
 
5.0%
r 2
 
5.0%
Other values (3) 3
7.5%
Other Punctuation
ValueCountFrequency (%)
. 8
61.5%
& 2
 
15.4%
? 1
 
7.7%
/ 1
 
7.7%
, 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
1 2
25.0%
0 2
25.0%
2 2
25.0%
3 1
12.5%
5 1
12.5%
Space Separator
ValueCountFrequency (%)
90
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1331
82.1%
Latin 162
 
10.0%
Common 129
 
8.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 155
 
11.6%
헬 83
 
6.2%
트 50
 
3.8%
니 50
 
3.8%
짐 49
 
3.7%
이 43
 
3.2%
럽 38
 
2.9%
휘 30
 
2.3%
클 26
 
2.0%
디 21
 
1.6%
Other values (230) 786
59.1%
Latin
ValueCountFrequency (%)
T 17
 
10.5%
P 15
 
9.3%
M 14
 
8.6%
G 10
 
6.2%
Y 9
 
5.6%
e 7
 
4.3%
N 7
 
4.3%
O 6
 
3.7%
S 6
 
3.7%
A 6
 
3.7%
Other values (25) 65
40.1%
Common
ValueCountFrequency (%)
90
69.8%
) 9
 
7.0%
( 9
 
7.0%
. 8
 
6.2%
& 2
 
1.6%
1 2
 
1.6%
0 2
 
1.6%
2 2
 
1.6%
3 1
 
0.8%
? 1
 
0.8%
Other values (3) 3
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1330
82.0%
ASCII 291
 
17.9%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 155
 
11.7%
헬 83
 
6.2%
트 50
 
3.8%
니 50
 
3.8%
짐 49
 
3.7%
이 43
 
3.2%
럽 38
 
2.9%
휘 30
 
2.3%
클 26
 
2.0%
디 21
 
1.6%
Other values (229) 785
59.0%
ASCII
ValueCountFrequency (%)
90
30.9%
T 17
 
5.8%
P 15
 
5.2%
M 14
 
4.8%
G 10
 
3.4%
) 9
 
3.1%
( 9
 
3.1%
Y 9
 
3.1%
. 8
 
2.7%
e 7
 
2.4%
Other values (38) 103
35.4%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

Distinct202
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2003-04-17 19:25:48
Maximum2024-05-03 09:25:48
2024-05-11T15:23:00.868104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:23:01.080368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
I
114 
U
108 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 114
51.4%
U 108
48.6%

Length

2024-05-11T15:23:01.327042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:01.523167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 114
51.4%
u 108
48.6%

데이터갱신일자
Date

Distinct106
Distinct (%)47.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T15:23:01.765673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:23:02.034843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing222
Missing (%)100.0%
Memory size2.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct187
Distinct (%)86.6%
Missing6
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean192798.73
Minimum190202.21
Maximum194228.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-05-11T15:23:02.365706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190202.21
5-th percentile191675.68
Q1192491.25
median192779.59
Q3193138.74
95-th percentile193944.8
Maximum194228.02
Range4025.8104
Interquartile range (IQR)647.49014

Descriptive statistics

Standard deviation690.78764
Coefficient of variation (CV)0.0035829471
Kurtosis1.3586612
Mean192798.73
Median Absolute Deviation (MAD)321.01838
Skewness-0.54921829
Sum41644525
Variance477187.57
MonotonicityNot monotonic
2024-05-11T15:23:02.645823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192677.862364661 3
 
1.4%
192812.253774617 3
 
1.4%
192604.275157665 3
 
1.4%
192771.367245921 2
 
0.9%
192610.048053202 2
 
0.9%
194002.701726955 2
 
0.9%
192489.605932829 2
 
0.9%
191623.514320306 2
 
0.9%
192031.10688002 2
 
0.9%
192584.639355994 2
 
0.9%
Other values (177) 193
86.9%
(Missing) 6
 
2.7%
ValueCountFrequency (%)
190202.21245041 1
0.5%
190454.651552293 1
0.5%
190628.880971368 1
0.5%
190741.823964705 1
0.5%
191151.461100103 1
0.5%
191157.444317911 1
0.5%
191295.326478473 1
0.5%
191361.609135217 1
0.5%
191494.183129866 1
0.5%
191623.514320306 2
0.9%
ValueCountFrequency (%)
194228.02282041 1
0.5%
194160.426069634 1
0.5%
194149.311652603 1
0.5%
194078.077432689 1
0.5%
194058.088064518 1
0.5%
194038.526449837 1
0.5%
194009.388758217 1
0.5%
194002.701726955 2
0.9%
193999.968667817 1
0.5%
193970.818256773 1
0.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct187
Distinct (%)86.6%
Missing6
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean456136.55
Minimum452924.12
Maximum459905.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-05-11T15:23:02.914709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452924.12
5-th percentile453747.31
Q1455242.86
median455979.73
Q3457251.81
95-th percentile458422.95
Maximum459905.79
Range6981.6677
Interquartile range (IQR)2008.9496

Descriptive statistics

Standard deviation1424.8775
Coefficient of variation (CV)0.0031237958
Kurtosis-0.067554758
Mean456136.55
Median Absolute Deviation (MAD)908.75036
Skewness0.24246816
Sum98525495
Variance2030275.8
MonotonicityNot monotonic
2024-05-11T15:23:03.201363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
459551.452160717 3
 
1.4%
459266.981388393 3
 
1.4%
457522.216118862 3
 
1.4%
457686.666766178 2
 
0.9%
456421.427466282 2
 
0.9%
456937.542510222 2
 
0.9%
456690.187227174 2
 
0.9%
454347.69334217 2
 
0.9%
455198.692747984 2
 
0.9%
456538.922729473 2
 
0.9%
Other values (177) 193
86.9%
(Missing) 6
 
2.7%
ValueCountFrequency (%)
452924.117735363 1
0.5%
453071.230635485 1
0.5%
453289.803633766 1
0.5%
453328.114670148 1
0.5%
453352.138713529 1
0.5%
453417.557249384 1
0.5%
453447.801645921 1
0.5%
453596.617839834 1
0.5%
453662.359135133 1
0.5%
453707.10078955 1
0.5%
ValueCountFrequency (%)
459905.785470521 1
 
0.5%
459759.949077343 1
 
0.5%
459551.452160717 3
1.4%
459477.20943887 1
 
0.5%
459266.981388393 3
1.4%
459170.418887077 2
0.9%
458173.797484836 1
 
0.5%
458060.093468608 1
 
0.5%
457947.618710253 2
0.9%
457931.063932548 2
0.9%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
체력단련장업
122 
<NA>
100 

Length

Max length6
Median length6
Mean length5.0990991
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체력단련장업 122
55.0%
<NA> 100
45.0%

Length

2024-05-11T15:23:03.520326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:03.759744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체력단련장업 122
55.0%
na 100
45.0%

공사립구분명
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
사립
122 
<NA>
100 

Length

Max length4
Median length2
Mean length2.9009009
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 122
55.0%
<NA> 100
45.0%

Length

2024-05-11T15:23:04.006649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:04.249431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 122
55.0%
na 100
45.0%

보험가입여부코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
200 
0
 
20
Y
 
2

Length

Max length4
Median length4
Mean length3.7027027
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 200
90.1%
0 20
 
9.0%
Y 2
 
0.9%

Length

2024-05-11T15:23:04.479465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:04.705435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 200
90.1%
0 20
 
9.0%
y 2
 
0.9%

지도자수
Categorical

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
149 
0
38 
1
28 
2
 
7

Length

Max length4
Median length4
Mean length3.0135135
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 149
67.1%
0 38
 
17.1%
1 28
 
12.6%
2 7
 
3.2%

Length

2024-05-11T15:23:05.039284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:05.394427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 149
67.1%
0 38
 
17.1%
1 28
 
12.6%
2 7
 
3.2%

건축물동수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
171 
0
46 
1
 
4
2
 
1

Length

Max length4
Median length4
Mean length3.3108108
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 171
77.0%
0 46
 
20.7%
1 4
 
1.8%
2 1
 
0.5%

Length

2024-05-11T15:23:05.693708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:05.959728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 171
77.0%
0 46
 
20.7%
1 4
 
1.8%
2 1
 
0.5%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct27
Distinct (%)38.6%
Missing152
Missing (%)68.5%
Infinite0
Infinite (%)0.0%
Mean1257.4796
Minimum0
Maximum39912.12
Zeros43
Zeros (%)19.4%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-05-11T15:23:06.295878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3722.575
95-th percentile4408.298
Maximum39912.12
Range39912.12
Interquartile range (IQR)722.575

Descriptive statistics

Standard deviation4904.7059
Coefficient of variation (CV)3.9004259
Kurtosis57.925752
Mean1257.4796
Median Absolute Deviation (MAD)0
Skewness7.3469988
Sum88023.57
Variance24056140
MonotonicityNot monotonic
2024-05-11T15:23:06.555619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.0 43
 
19.4%
1158.9 2
 
0.9%
4520.06 1
 
0.5%
433.39 1
 
0.5%
663.97 1
 
0.5%
1861.1 1
 
0.5%
2806.77 1
 
0.5%
906.2 1
 
0.5%
457.76 1
 
0.5%
4271.7 1
 
0.5%
Other values (17) 17
 
7.7%
(Missing) 152
68.5%
ValueCountFrequency (%)
0.0 43
19.4%
155.3 1
 
0.5%
190.74 1
 
0.5%
418.58 1
 
0.5%
433.39 1
 
0.5%
457.76 1
 
0.5%
491.54 1
 
0.5%
502.95 1
 
0.5%
523.27 1
 
0.5%
663.97 1
 
0.5%
ValueCountFrequency (%)
39912.12 1
0.5%
7715.01 1
0.5%
5749.82 1
0.5%
4520.06 1
0.5%
4271.7 1
0.5%
3542.41 1
0.5%
2806.77 1
0.5%
2042.75 1
0.5%
1861.1 1
0.5%
1837.61 1
0.5%

회원모집총인원
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
211 
0
 
9
400
 
1
200
 
1

Length

Max length4
Median length4
Mean length3.8693694
Min length1

Unique

Unique2 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 211
95.0%
0 9
 
4.1%
400 1
 
0.5%
200 1
 
0.5%

Length

2024-05-11T15:23:06.815572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:07.050810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 211
95.0%
0 9
 
4.1%
400 1
 
0.5%
200 1
 
0.5%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing222
Missing (%)100.0%
Memory size2.1 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing222
Missing (%)100.0%
Memory size2.1 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03110000CDFH330106198900000119891220<NA>3폐업3폐업20111107<NA><NA><NA>385-6559<NA>122859서울특별시 은평구 불광동 304-18번지서울특별시 은평구 통일로 828 (불광동)<NA>성헌헬쓰클럽2011-11-07 15:03:17I2018-08-31 23:59:59.0<NA>193116.837538457248.900451체력단련장업사립<NA><NA>00.0<NA><NA><NA>
13110000CDFH330106198900000219891230<NA>3폐업3폐업19991101<NA><NA><NA>385-8500<NA>122858서울특별시 은평구 불광동 281-175번지서울특별시 은평구 통일로 716 (불광동)<NA>대광헬쓰클럽2003-04-17 19:25:48I2018-08-31 23:59:59.0<NA>193821.31674456392.063218체력단련장업사립<NA>000.0<NA><NA><NA>
23110000CDFH330106198900000319891230<NA>3폐업3폐업20020411<NA><NA><NA>356-8408<NA>122959서울특별시 은평구 갈현동 451-1번지서울특별시 은평구 갈현로 260 (갈현동)<NA>창일헬스크럽2003-04-17 19:25:48I2018-08-31 23:59:59.0<NA>192533.245686457523.059641체력단련장업사립<NA>000.0<NA><NA><NA>
33110000CDFH330106199000000119900620<NA>3폐업3폐업20060810<NA><NA><NA>304-1800<NA>122920서울특별시 은평구 응암동 419-220번지서울특별시 은평구 응암로22길 18-1 (응암동)<NA>한진체육관2006-08-10 10:07:18I2018-08-31 23:59:59.0<NA>192879.911245454564.629922체력단련장업사립0<NA><NA><NA><NA><NA><NA>
43110000CDFH330106199000000219901222<NA>3폐업3폐업20010330<NA><NA><NA>385-6600<NA>122842서울특별시 은평구 대조동 185-1번지서울특별시 은평구 통일로 845 (대조동)<NA>극동헬쓰클럽2003-04-17 19:25:48I2018-08-31 23:59:59.0<NA>192963.278707457362.284809체력단련장업사립<NA>000.0<NA><NA><NA>
53110000CDFH330106199100000119910613<NA>3폐업3폐업20040327<NA><NA><NA>357-2487<NA>122842서울특별시 은평구 대조동 200-2번지서울특별시 은평구 연서로26길 8 (대조동)<NA>은광헬쓰2008-03-27 15:23:27I2018-08-31 23:59:59.0<NA>192889.997038457179.398736체력단련장업사립0<NA><NA><NA><NA><NA><NA>
63110000CDFH330106199200000119920624<NA>3폐업3폐업19990830<NA><NA><NA>388-2361<NA>122829서울특별시 은평구 녹번동 81-2번지서울특별시 은평구 서오릉로 42 (녹번동)<NA>헤라헬쓰클럽2003-04-17 19:25:48I2018-08-31 23:59:59.0<NA>193282.788263455817.601295체력단련장업사립<NA>000.0<NA><NA><NA>
73110000CDFH330106199200000219920724<NA>3폐업3폐업19980226<NA><NA><NA>354-9584<NA>122880서울특별시 은평구 신사동 9-1번지서울특별시 은평구 갈현로 45 (신사동)<NA>명동헬스2003-04-17 19:25:48I2018-08-31 23:59:59.0<NA>191998.276268455509.930715체력단련장업사립<NA>000.0<NA><NA><NA>
83110000CDFH330106199200000319921012<NA>3폐업3폐업20130603<NA><NA><NA>383-5037<NA>122924서울특별시 은평구 응암동 585-50번지 4동서울특별시 은평구 가좌로 255, 4동 (응암동)<NA>파워헬스2013-06-03 11:06:07I2018-08-31 23:59:59.0<NA>192402.229612454386.750596체력단련장업사립<NA>000.0<NA><NA><NA>
93110000CDFH330106199200000419921110<NA>3폐업3폐업20081124<NA><NA><NA><NA><NA>122852서울특별시 은평구 불광동 105-82번지서울특별시 은평구 연서로 320 (불광동)<NA>청자헬쓰2008-11-24 17:25:57I2018-08-31 23:59:59.0<NA>193594.911615457931.063933체력단련장업사립0<NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
2123110000CDFH33010620240000012024-03-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 역촌동 43-77 302호서울특별시 은평구 진흥로 29, 3층 302호 (역촌동)3409해야 GYM?PT2024-03-05 09:33:08I2023-12-03 00:07:00.0<NA>192752.701315455364.744276<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2133110000CDFH33010620240000022024-03-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 대조동 26-17서울특별시 은평구 진흥로13길 2, 3층 (대조동)3396짐부티킹2024-03-12 09:23:56I2023-12-02 23:04:00.0<NA>193411.459972456303.255886<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2143110000CDFH33010620240000032024-03-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 응암동 90-22 미가마하나임응암Ⅰ 202호서울특별시 은평구 은평로 105, 2층 (응암동, 미가마하나임응암Ⅰ)3461오엘크루2024-03-19 09:23:19I2023-12-02 22:01:00.0<NA>192814.297497455312.612754<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2153110000CDFH33010620240000042024-03-21<NA>1영업/정상13영업중<NA><NA><NA><NA>02-385-1123<NA><NA>서울특별시 은평구 갈현동 460-8 보성빌서울특별시 은평구 연서로 209, 보성빌 6층 (갈현동)3333주식회사 비엔아이컴퍼니(BNI COMPANY CO.LTD)2024-03-21 16:10:01I2023-12-02 22:03:00.0<NA>192761.348927457225.218523<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2163110000CDFH33010620240000052024-03-25<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2138-3563<NA><NA>서울특별시 은평구 대조동 4-2서울특별시 은평구 통일로 747, 3층 (대조동)3396골드문PT2024-03-25 09:32:48I2023-12-02 22:07:00.0<NA>193596.958019456616.693447<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2173110000CDFH33010620240000062024-04-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 불광동 486-17 베로니스 B201호서울특별시 은평구 통일로80길 1-1, B2층 (불광동, 베로니스)3344크로스핏엠비션2024-04-01 15:36:20I2023-12-04 00:03:00.0<NA>192953.133572457539.087119<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2183110000CDFH33010620240000072024-04-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 응암동 118-2서울특별시 은평구 은평로8길 42-1, 지층 (응암동)3453프리원핏 응암점2024-04-16 13:52:54U2023-12-03 23:08:00.0<NA>192741.63355454954.293684<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2193110000CDFH33010620240000082024-04-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 구산동 198-1 엘타워서울특별시 은평구 서오릉로 175, 엘타워 B2층 (구산동)3411크로스핏 카고2024-04-23 13:37:30I2023-12-03 22:05:00.0<NA>192334.607184456703.952229<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2203110000CDFH33010620240000092024-04-25<NA>1영업/정상13영업중<NA><NA><NA><NA>02-356-9619<NA><NA>서울특별시 은평구 응암동 98-65 은경빌딩서울특별시 은평구 은평로 136, 은경빌딩 4층 (응암동)3462응암동점 스포애니 (주) 케이디헬스케어2024-04-25 09:27:34I2023-12-03 22:07:00.0<NA>193138.74358455325.930944<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2213110000CDFH33010620240000102024-05-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 역촌동 63-60서울특별시 은평구 연서로 37, 4층 (역촌동)3418오늘은 헬스2024-05-03 09:25:48I2023-12-05 00:05:00.0<NA>192471.766517455584.95351<NA><NA><NA><NA><NA><NA><NA><NA><NA>