Overview

Dataset statistics

Number of variables34
Number of observations125
Missing cells973
Missing cells (%)22.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory35.4 KiB
Average record size in memory290.1 B

Variable types

Categorical15
Text6
DateTime3
Unsupported6
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
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-19593/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (93.3%)Imbalance
휴업종료일자 is highly imbalanced (93.3%)Imbalance
보험가입여부코드 is highly imbalanced (52.8%)Imbalance
지도자수 is highly imbalanced (54.0%)Imbalance
인허가취소일자 has 125 (100.0%) missing valuesMissing
폐업일자 has 45 (36.0%) missing valuesMissing
재개업일자 has 125 (100.0%) missing valuesMissing
전화번호 has 38 (30.4%) missing valuesMissing
소재지면적 has 125 (100.0%) missing valuesMissing
소재지우편번호 has 17 (13.6%) missing valuesMissing
지번주소 has 3 (2.4%) missing valuesMissing
도로명주소 has 5 (4.0%) missing valuesMissing
도로명우편번호 has 30 (24.0%) missing valuesMissing
업태구분명 has 125 (100.0%) missing valuesMissing
좌표정보(X) has 3 (2.4%) missing valuesMissing
좌표정보(Y) has 3 (2.4%) missing valuesMissing
건축물연면적 has 79 (63.2%) missing valuesMissing
세부업종명 has 125 (100.0%) missing valuesMissing
법인명 has 125 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 12 (9.6%) zerosZeros

Reproduction

Analysis started2024-04-29 19:58:28.033983
Analysis finished2024-04-29 19:58:28.814508
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
3160000
125 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3160000
2nd row3160000
3rd row3160000
4th row3160000
5th row3160000

Common Values

ValueCountFrequency (%)
3160000 125
100.0%

Length

2024-04-30T04:58:28.879255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:58:28.954900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 125
100.0%

관리번호
Text

UNIQUE 

Distinct125
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-30T04:58:29.101598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2500
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

Unique125 ?
Unique (%)100.0%

Sample

1st rowCDFH3301051990000001
2nd rowCDFH3301051993000001
3rd rowCDFH3301051994000001
4th rowCDFH3301051994000002
5th rowCDFH3301051995000001
ValueCountFrequency (%)
cdfh3301051990000001 1
 
0.8%
cdfh3301052008000009 1
 
0.8%
cdfh3301052010000007 1
 
0.8%
cdfh3301052010000006 1
 
0.8%
cdfh3301052010000005 1
 
0.8%
cdfh3301052010000004 1
 
0.8%
cdfh3301052010000003 1
 
0.8%
cdfh3301052010000002 1
 
0.8%
cdfh3301052010000001 1
 
0.8%
cdfh3301052009000013 1
 
0.8%
Other values (115) 115
92.0%
2024-04-30T04:58:29.380179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1065
42.6%
3 281
 
11.2%
1 233
 
9.3%
2 144
 
5.8%
5 142
 
5.7%
C 125
 
5.0%
D 125
 
5.0%
F 125
 
5.0%
H 125
 
5.0%
9 42
 
1.7%
Other values (4) 93
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2000
80.0%
Uppercase Letter 500
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1065
53.2%
3 281
 
14.1%
1 233
 
11.7%
2 144
 
7.2%
5 142
 
7.1%
9 42
 
2.1%
8 26
 
1.3%
7 25
 
1.2%
6 22
 
1.1%
4 20
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 125
25.0%
D 125
25.0%
F 125
25.0%
H 125
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2000
80.0%
Latin 500
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1065
53.2%
3 281
 
14.1%
1 233
 
11.7%
2 144
 
7.2%
5 142
 
7.1%
9 42
 
2.1%
8 26
 
1.3%
7 25
 
1.2%
6 22
 
1.1%
4 20
 
1.0%
Latin
ValueCountFrequency (%)
C 125
25.0%
D 125
25.0%
F 125
25.0%
H 125
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2500
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1065
42.6%
3 281
 
11.2%
1 233
 
9.3%
2 144
 
5.8%
5 142
 
5.7%
C 125
 
5.0%
D 125
 
5.0%
F 125
 
5.0%
H 125
 
5.0%
9 42
 
1.7%
Other values (4) 93
 
3.7%

인허가일자
Date

Distinct122
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1990-09-10 00:00:00
Maximum2023-07-21 00:00:00
2024-04-30T04:58:29.506902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:58:29.617336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
3
62 
1
44 
4
18 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
3 62
49.6%
1 44
35.2%
4 18
 
14.4%
2 1
 
0.8%

Length

2024-04-30T04:58:29.724282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:58:29.817607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 62
49.6%
1 44
35.2%
4 18
 
14.4%
2 1
 
0.8%

영업상태명
Categorical

Distinct4
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
폐업
62 
영업/정상
44 
취소/말소/만료/정지/중지
18 
휴업
 
1

Length

Max length14
Median length2
Mean length4.784
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 62
49.6%
영업/정상 44
35.2%
취소/말소/만료/정지/중지 18
 
14.4%
휴업 1
 
0.8%

Length

2024-04-30T04:58:29.907305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:58:29.993691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 62
49.6%
영업/정상 44
35.2%
취소/말소/만료/정지/중지 18
 
14.4%
휴업 1
 
0.8%

상세영업상태코드
Categorical

Distinct5
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
03
62 
13
43 
35
18 
02
 
1
BBBB
 
1

Length

Max length4
Median length2
Mean length2.016
Min length2

Unique

Unique2 ?
Unique (%)1.6%

Sample

1st row35
2nd row35
3rd row03
4th row35
5th row03

Common Values

ValueCountFrequency (%)
03 62
49.6%
13 43
34.4%
35 18
 
14.4%
02 1
 
0.8%
BBBB 1
 
0.8%

Length

2024-04-30T04:58:30.103928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:58:30.212946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03 62
49.6%
13 43
34.4%
35 18
 
14.4%
02 1
 
0.8%
bbbb 1
 
0.8%

상세영업상태명
Categorical

Distinct5
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
폐업
62 
영업중
43 
직권말소
18 
휴업
 
1
<NA>
 
1

Length

Max length4
Median length2
Mean length2.648
Min length2

Unique

Unique2 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 62
49.6%
영업중 43
34.4%
직권말소 18
 
14.4%
휴업 1
 
0.8%
<NA> 1
 
0.8%

Length

2024-04-30T04:58:30.322231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:58:30.419265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 62
49.6%
영업중 43
34.4%
직권말소 18
 
14.4%
휴업 1
 
0.8%
na 1
 
0.8%

폐업일자
Date

MISSING 

Distinct64
Distinct (%)80.0%
Missing45
Missing (%)36.0%
Memory size1.1 KiB
Minimum2003-07-04 00:00:00
Maximum2024-01-02 00:00:00
2024-04-30T04:58:30.515371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:58:30.641653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
124 
20190726
 
1

Length

Max length8
Median length4
Mean length4.032
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 124
99.2%
20190726 1
 
0.8%

Length

2024-04-30T04:58:30.763312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:58:30.860069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 124
99.2%
20190726 1
 
0.8%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
124 
20191231
 
1

Length

Max length8
Median length4
Mean length4.032
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 124
99.2%
20191231 1
 
0.8%

Length

2024-04-30T04:58:30.973757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:58:31.067635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 124
99.2%
20191231 1
 
0.8%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

전화번호
Text

MISSING 

Distinct87
Distinct (%)100.0%
Missing38
Missing (%)30.4%
Memory size1.1 KiB
2024-04-30T04:58:31.272137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.045977
Min length8

Characters and Unicode

Total characters874
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)100.0%

Sample

1st row2602-4868
2nd row2616-0961
3rd row2684-3323
4th row839-9192
5th row2635-5555
ValueCountFrequency (%)
2602-4868 1
 
1.1%
02-2614-0099 1
 
1.1%
02-2684-5641 1
 
1.1%
02-2617-9330 1
 
1.1%
02-819-8979 1
 
1.1%
02-890-6555 1
 
1.1%
02-864-9555 1
 
1.1%
02-2685-9582 1
 
1.1%
869-0753 1
 
1.1%
2612-0753 1
 
1.1%
Other values (77) 77
88.5%
2024-04-30T04:58:31.640248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 127
14.5%
- 127
14.5%
2 125
14.3%
6 96
11.0%
8 88
10.1%
5 68
7.8%
3 59
6.8%
7 57
6.5%
1 56
6.4%
9 37
 
4.2%
Other values (2) 34
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 746
85.4%
Dash Punctuation 127
 
14.5%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 127
17.0%
2 125
16.8%
6 96
12.9%
8 88
11.8%
5 68
9.1%
3 59
7.9%
7 57
7.6%
1 56
7.5%
9 37
 
5.0%
4 33
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 127
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 874
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 127
14.5%
- 127
14.5%
2 125
14.3%
6 96
11.0%
8 88
10.1%
5 68
7.8%
3 59
6.8%
7 57
6.5%
1 56
6.4%
9 37
 
4.2%
Other values (2) 34
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 874
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 127
14.5%
- 127
14.5%
2 125
14.3%
6 96
11.0%
8 88
10.1%
5 68
7.8%
3 59
6.8%
7 57
6.5%
1 56
6.4%
9 37
 
4.2%
Other values (2) 34
 
3.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

소재지우편번호
Text

MISSING 

Distinct57
Distinct (%)52.8%
Missing17
Missing (%)13.6%
Memory size1.1 KiB
2024-04-30T04:58:31.848621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0555556
Min length6

Characters and Unicode

Total characters654
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 (%)27.8%

Sample

1st row152865
2nd row152140
3rd row152868
4th row152887
5th row152826
ValueCountFrequency (%)
152868 7
 
6.5%
152887 6
 
5.6%
152826 6
 
5.6%
152880 5
 
4.6%
152838 4
 
3.7%
152831 4
 
3.7%
152847 4
 
3.7%
152848 3
 
2.8%
152862 3
 
2.8%
152805 2
 
1.9%
Other values (47) 64
59.3%
2024-04-30T04:58:32.192035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 131
20.0%
5 125
19.1%
1 124
19.0%
8 124
19.0%
6 29
 
4.4%
7 29
 
4.4%
4 29
 
4.4%
0 23
 
3.5%
3 19
 
2.9%
9 15
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 648
99.1%
Dash Punctuation 6
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 131
20.2%
5 125
19.3%
1 124
19.1%
8 124
19.1%
6 29
 
4.5%
7 29
 
4.5%
4 29
 
4.5%
0 23
 
3.5%
3 19
 
2.9%
9 15
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 654
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 131
20.0%
5 125
19.1%
1 124
19.0%
8 124
19.0%
6 29
 
4.4%
7 29
 
4.4%
4 29
 
4.4%
0 23
 
3.5%
3 19
 
2.9%
9 15
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 654
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 131
20.0%
5 125
19.1%
1 124
19.0%
8 124
19.0%
6 29
 
4.4%
7 29
 
4.4%
4 29
 
4.4%
0 23
 
3.5%
3 19
 
2.9%
9 15
 
2.3%

지번주소
Text

MISSING 

Distinct119
Distinct (%)97.5%
Missing3
Missing (%)2.4%
Memory size1.1 KiB
2024-04-30T04:58:32.455048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length39.5
Mean length28.844262
Min length18

Characters and Unicode

Total characters3519
Distinct characters174
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique116 ?
Unique (%)95.1%

Sample

1st row서울특별시 구로구 구로동 612-10
2nd row서울특별시 구로구 항동 3-4번지
3rd row서울특별시 구로구 오류동 111-3 경인골프연습장
4th row서울특별시 구로구 구로동 685-456 상가 202
5th row서울특별시 구로구 신도림동 332-1번지
ValueCountFrequency (%)
서울특별시 122
18.8%
구로구 122
18.8%
구로동 68
 
10.5%
고척동 20
 
3.1%
신도림동 13
 
2.0%
개봉동 10
 
1.5%
오류동 8
 
1.2%
지하1층 7
 
1.1%
3층 4
 
0.6%
b01호 3
 
0.5%
Other values (243) 271
41.8%
2024-04-30T04:58:32.883918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
618
17.6%
구 314
 
8.9%
로 192
 
5.5%
1 179
 
5.1%
동 131
 
3.7%
서 123
 
3.5%
시 123
 
3.5%
울 122
 
3.5%
특 122
 
3.5%
별 122
 
3.5%
Other values (164) 1473
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2035
57.8%
Decimal Number 717
 
20.4%
Space Separator 618
 
17.6%
Dash Punctuation 101
 
2.9%
Uppercase Letter 27
 
0.8%
Other Punctuation 17
 
0.5%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 314
15.4%
로 192
 
9.4%
동 131
 
6.4%
서 123
 
6.0%
시 123
 
6.0%
울 122
 
6.0%
특 122
 
6.0%
별 122
 
6.0%
지 87
 
4.3%
번 61
 
3.0%
Other values (140) 638
31.4%
Decimal Number
ValueCountFrequency (%)
1 179
25.0%
0 100
13.9%
2 87
12.1%
4 75
10.5%
3 75
10.5%
7 50
 
7.0%
6 44
 
6.1%
5 43
 
6.0%
8 40
 
5.6%
9 24
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
B 20
74.1%
K 2
 
7.4%
I 1
 
3.7%
T 1
 
3.7%
S 1
 
3.7%
A 1
 
3.7%
H 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 13
76.5%
? 2
 
11.8%
. 2
 
11.8%
Space Separator
ValueCountFrequency (%)
618
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 101
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2035
57.8%
Common 1457
41.4%
Latin 27
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 314
15.4%
로 192
 
9.4%
동 131
 
6.4%
서 123
 
6.0%
시 123
 
6.0%
울 122
 
6.0%
특 122
 
6.0%
별 122
 
6.0%
지 87
 
4.3%
번 61
 
3.0%
Other values (140) 638
31.4%
Common
ValueCountFrequency (%)
618
42.4%
1 179
 
12.3%
- 101
 
6.9%
0 100
 
6.9%
2 87
 
6.0%
4 75
 
5.1%
3 75
 
5.1%
7 50
 
3.4%
6 44
 
3.0%
5 43
 
3.0%
Other values (7) 85
 
5.8%
Latin
ValueCountFrequency (%)
B 20
74.1%
K 2
 
7.4%
I 1
 
3.7%
T 1
 
3.7%
S 1
 
3.7%
A 1
 
3.7%
H 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2035
57.8%
ASCII 1484
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
618
41.6%
1 179
 
12.1%
- 101
 
6.8%
0 100
 
6.7%
2 87
 
5.9%
4 75
 
5.1%
3 75
 
5.1%
7 50
 
3.4%
6 44
 
3.0%
5 43
 
2.9%
Other values (14) 112
 
7.5%
Hangul
ValueCountFrequency (%)
구 314
15.4%
로 192
 
9.4%
동 131
 
6.4%
서 123
 
6.0%
시 123
 
6.0%
울 122
 
6.0%
특 122
 
6.0%
별 122
 
6.0%
지 87
 
4.3%
번 61
 
3.0%
Other values (140) 638
31.4%

도로명주소
Text

MISSING 

Distinct118
Distinct (%)98.3%
Missing5
Missing (%)4.0%
Memory size1.1 KiB
2024-04-30T04:58:33.104774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length44
Mean length34.541667
Min length22

Characters and Unicode

Total characters4145
Distinct characters184
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

Unique116 ?
Unique (%)96.7%

Sample

1st row서울특별시 구로구 구로중앙로 215 (구로동)
2nd row서울특별시 구로구 경인로3가길 10-14, 경인골프연습장 (오류동)
3rd row서울특별시 구로구 구일로2길 59 (구로동,상가 202)
4th row서울특별시 구로구 경인로67길 31 (신도림동)
5th row서울특별시 구로구 중앙로 27 (고척동)
ValueCountFrequency (%)
서울특별시 120
 
16.6%
구로구 120
 
16.6%
구로동 38
 
5.2%
경인로 15
 
2.1%
구로중앙로 10
 
1.4%
고척동 9
 
1.2%
지하1층 7
 
1.0%
공원로 7
 
1.0%
신도림동 7
 
1.0%
디지털로33길 6
 
0.8%
Other values (283) 385
53.2%
2024-04-30T04:58:33.438762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
650
 
15.7%
구 330
 
8.0%
로 321
 
7.7%
1 138
 
3.3%
, 131
 
3.2%
동 131
 
3.2%
서 122
 
2.9%
) 122
 
2.9%
( 122
 
2.9%
시 122
 
2.9%
Other values (174) 1956
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2409
58.1%
Decimal Number 659
 
15.9%
Space Separator 650
 
15.7%
Other Punctuation 136
 
3.3%
Close Punctuation 122
 
2.9%
Open Punctuation 122
 
2.9%
Uppercase Letter 32
 
0.8%
Dash Punctuation 11
 
0.3%
Math Symbol 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 330
 
13.7%
로 321
 
13.3%
동 131
 
5.4%
서 122
 
5.1%
시 122
 
5.1%
울 120
 
5.0%
별 120
 
5.0%
특 120
 
5.0%
호 58
 
2.4%
길 58
 
2.4%
Other values (148) 907
37.7%
Decimal Number
ValueCountFrequency (%)
1 138
20.9%
2 98
14.9%
0 90
13.7%
3 86
13.1%
4 53
 
8.0%
5 51
 
7.7%
7 44
 
6.7%
6 39
 
5.9%
8 32
 
4.9%
9 28
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
B 23
71.9%
K 2
 
6.2%
D 2
 
6.2%
T 1
 
3.1%
I 1
 
3.1%
H 1
 
3.1%
A 1
 
3.1%
S 1
 
3.1%
Other Punctuation
ValueCountFrequency (%)
, 131
96.3%
. 3
 
2.2%
? 2
 
1.5%
Space Separator
ValueCountFrequency (%)
650
100.0%
Close Punctuation
ValueCountFrequency (%)
) 122
100.0%
Open Punctuation
ValueCountFrequency (%)
( 122
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2409
58.1%
Common 1704
41.1%
Latin 32
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 330
 
13.7%
로 321
 
13.3%
동 131
 
5.4%
서 122
 
5.1%
시 122
 
5.1%
울 120
 
5.0%
별 120
 
5.0%
특 120
 
5.0%
호 58
 
2.4%
길 58
 
2.4%
Other values (148) 907
37.7%
Common
ValueCountFrequency (%)
650
38.1%
1 138
 
8.1%
, 131
 
7.7%
) 122
 
7.2%
( 122
 
7.2%
2 98
 
5.8%
0 90
 
5.3%
3 86
 
5.0%
4 53
 
3.1%
5 51
 
3.0%
Other values (8) 163
 
9.6%
Latin
ValueCountFrequency (%)
B 23
71.9%
K 2
 
6.2%
D 2
 
6.2%
T 1
 
3.1%
I 1
 
3.1%
H 1
 
3.1%
A 1
 
3.1%
S 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2409
58.1%
ASCII 1736
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
650
37.4%
1 138
 
7.9%
, 131
 
7.5%
) 122
 
7.0%
( 122
 
7.0%
2 98
 
5.6%
0 90
 
5.2%
3 86
 
5.0%
4 53
 
3.1%
5 51
 
2.9%
Other values (16) 195
 
11.2%
Hangul
ValueCountFrequency (%)
구 330
 
13.7%
로 321
 
13.3%
동 131
 
5.4%
서 122
 
5.1%
시 122
 
5.1%
울 120
 
5.0%
별 120
 
5.0%
특 120
 
5.0%
호 58
 
2.4%
길 58
 
2.4%
Other values (148) 907
37.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)60.0%
Missing30
Missing (%)24.0%
Infinite0
Infinite (%)0.0%
Mean17408.621
Minimum8202
Maximum152880
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-30T04:58:33.547636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8202
5-th percentile8208
Q18225
median8293
Q38370
95-th percentile152313
Maximum152880
Range144678
Interquartile range (IQR)145

Descriptive statistics

Standard deviation35310.641
Coefficient of variation (CV)2.0283422
Kurtosis11.563044
Mean17408.621
Median Absolute Deviation (MAD)68
Skewness3.6496428
Sum1653819
Variance1.2468414 × 109
MonotonicityNot monotonic
2024-04-30T04:58:33.657432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8228 4
 
3.2%
8378 4
 
3.2%
8323 3
 
2.4%
8358 3
 
2.4%
8212 3
 
2.4%
8293 3
 
2.4%
8377 3
 
2.4%
8297 3
 
2.4%
8225 3
 
2.4%
8290 2
 
1.6%
Other values (47) 64
51.2%
(Missing) 30
24.0%
ValueCountFrequency (%)
8202 1
 
0.8%
8206 1
 
0.8%
8207 2
1.6%
8208 2
1.6%
8210 1
 
0.8%
8212 3
2.4%
8213 2
1.6%
8216 2
1.6%
8217 2
1.6%
8218 2
1.6%
ValueCountFrequency (%)
152880 1
0.8%
152841 1
0.8%
152779 1
0.8%
152747 1
0.8%
152740 1
0.8%
152130 1
0.8%
8393 1
0.8%
8392 2
1.6%
8391 2
1.6%
8390 1
0.8%

사업장명
Text

Distinct122
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-30T04:58:33.865944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length7.36
Min length2

Characters and Unicode

Total characters920
Distinct characters178
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique120 ?
Unique (%)96.0%

Sample

1st row인애골프아카데미
2nd row그린빌라
3rd row경인골프연습장
4th row구일실내골프연습장
5th row포쉬개발
ValueCountFrequency (%)
스크린골프 6
 
3.8%
골프 4
 
2.5%
휘트니스 4
 
2.5%
윈스크린골프 3
 
1.9%
스크린 3
 
1.9%
코어골프 2
 
1.3%
아카데미 2
 
1.3%
신목동 1
 
0.6%
알바트로스 1
 
0.6%
승진 1
 
0.6%
Other values (131) 131
82.9%
2024-04-30T04:58:34.362580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
프 93
 
10.1%
골 92
 
10.0%
스 88
 
9.6%
크 44
 
4.8%
린 44
 
4.8%
33
 
3.6%
장 21
 
2.3%
연 18
 
2.0%
습 18
 
2.0%
이 12
 
1.3%
Other values (168) 457
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 822
89.3%
Uppercase Letter 48
 
5.2%
Space Separator 33
 
3.6%
Close Punctuation 5
 
0.5%
Open Punctuation 5
 
0.5%
Decimal Number 5
 
0.5%
Other Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
프 93
 
11.3%
골 92
 
11.2%
스 88
 
10.7%
크 44
 
5.4%
린 44
 
5.4%
장 21
 
2.6%
연 18
 
2.2%
습 18
 
2.2%
이 12
 
1.5%
카 12
 
1.5%
Other values (139) 380
46.2%
Uppercase Letter
ValueCountFrequency (%)
G 7
14.6%
I 5
10.4%
O 5
10.4%
K 4
 
8.3%
T 3
 
6.2%
S 3
 
6.2%
N 3
 
6.2%
Y 2
 
4.2%
J 2
 
4.2%
M 2
 
4.2%
Other values (10) 12
25.0%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
1 1
20.0%
0 1
20.0%
4 1
20.0%
Space Separator
ValueCountFrequency (%)
33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Other Punctuation
ValueCountFrequency (%)
# 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 822
89.3%
Common 50
 
5.4%
Latin 48
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
프 93
 
11.3%
골 92
 
11.2%
스 88
 
10.7%
크 44
 
5.4%
린 44
 
5.4%
장 21
 
2.6%
연 18
 
2.2%
습 18
 
2.2%
이 12
 
1.5%
카 12
 
1.5%
Other values (139) 380
46.2%
Latin
ValueCountFrequency (%)
G 7
14.6%
I 5
10.4%
O 5
10.4%
K 4
 
8.3%
T 3
 
6.2%
S 3
 
6.2%
N 3
 
6.2%
Y 2
 
4.2%
J 2
 
4.2%
M 2
 
4.2%
Other values (10) 12
25.0%
Common
ValueCountFrequency (%)
33
66.0%
) 5
 
10.0%
( 5
 
10.0%
2 2
 
4.0%
1 1
 
2.0%
# 1
 
2.0%
0 1
 
2.0%
4 1
 
2.0%
- 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 822
89.3%
ASCII 98
 
10.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
프 93
 
11.3%
골 92
 
11.2%
스 88
 
10.7%
크 44
 
5.4%
린 44
 
5.4%
장 21
 
2.6%
연 18
 
2.2%
습 18
 
2.2%
이 12
 
1.5%
카 12
 
1.5%
Other values (139) 380
46.2%
ASCII
ValueCountFrequency (%)
33
33.7%
G 7
 
7.1%
I 5
 
5.1%
) 5
 
5.1%
( 5
 
5.1%
O 5
 
5.1%
K 4
 
4.1%
T 3
 
3.1%
S 3
 
3.1%
N 3
 
3.1%
Other values (19) 25
25.5%

최종수정일자
Date

UNIQUE 

Distinct125
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2003-07-09 18:10:28
Maximum2024-02-15 13:41:58
2024-04-30T04:58:34.483233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:58:34.612394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
U
65 
I
60 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 65
52.0%
I 60
48.0%

Length

2024-04-30T04:58:34.766527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:58:34.901453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 65
52.0%
i 60
48.0%

데이터갱신일자
Categorical

Distinct40
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2018-08-31 23:59:59.0
58 
2021-06-02 02:40:00.0
16 
2021-08-29 02:40:00.0
11 
2023-11-30 23:05:00.0
 
2
2021-10-16 02:40:00.0
 
2
Other values (35)
36 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique34 ?
Unique (%)27.2%

Sample

1st row2021-06-02 02:40:00.0
2nd row2018-08-31 23:59:59.0
3rd row2021-12-02 21:00:00.0
4th row2021-06-02 02:40:00.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 58
46.4%
2021-06-02 02:40:00.0 16
 
12.8%
2021-08-29 02:40:00.0 11
 
8.8%
2023-11-30 23:05:00.0 2
 
1.6%
2021-10-16 02:40:00.0 2
 
1.6%
2021-08-04 02:40:00.0 2
 
1.6%
2020-09-24 02:40:00.0 1
 
0.8%
2021-12-02 21:00:00.0 1
 
0.8%
2021-09-09 02:40:00.0 1
 
0.8%
2021-12-09 02:40:00.0 1
 
0.8%
Other values (30) 30
24.0%

Length

2024-04-30T04:58:35.069213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 58
23.2%
23:59:59.0 58
23.2%
02:40:00.0 50
20.0%
2021-06-02 16
 
6.4%
2021-08-29 11
 
4.4%
2021-11-01 2
 
0.8%
23:07:00.0 2
 
0.8%
2023-12-01 2
 
0.8%
23:01:00.0 2
 
0.8%
2022-12-06 2
 
0.8%
Other values (43) 47
18.8%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct100
Distinct (%)82.0%
Missing3
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean188973.41
Minimum184343.82
Maximum191186.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-30T04:58:35.249758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum184343.82
5-th percentile185795.92
Q1187814.24
median189447.98
Q3190313.41
95-th percentile190847.49
Maximum191186.62
Range6842.7999
Interquartile range (IQR)2499.1741

Descriptive statistics

Standard deviation1655.9425
Coefficient of variation (CV)0.0087628332
Kurtosis-0.078442407
Mean188973.41
Median Absolute Deviation (MAD)1050.3251
Skewness-0.86611848
Sum23054756
Variance2742145.5
MonotonicityNot monotonic
2024-04-30T04:58:35.363078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190845.231594802 3
 
2.4%
189682.799434964 3
 
2.4%
189062.851345815 3
 
2.4%
190414.714577463 2
 
1.6%
190171.677862092 2
 
1.6%
188840.515865617 2
 
1.6%
189416.041362587 2
 
1.6%
189618.752905327 2
 
1.6%
190099.217394597 2
 
1.6%
186433.563471491 2
 
1.6%
Other values (90) 99
79.2%
(Missing) 3
 
2.4%
ValueCountFrequency (%)
184343.815877741 1
0.8%
184758.352564162 1
0.8%
185084.164537768 1
0.8%
185107.343863211 1
0.8%
185121.770563763 1
0.8%
185487.557893304 1
0.8%
185793.473781 1
0.8%
185842.3092455 1
0.8%
185875.875759586 1
0.8%
185948.064169901 1
0.8%
ValueCountFrequency (%)
191186.615758839 1
 
0.8%
191126.922861445 1
 
0.8%
191108.796071766 1
 
0.8%
191020.264430044 1
 
0.8%
190987.661570042 1
 
0.8%
190951.334281004 1
 
0.8%
190847.613859557 1
 
0.8%
190845.231594802 3
2.4%
190741.158117503 1
 
0.8%
190688.747501289 1
 
0.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct100
Distinct (%)82.0%
Missing3
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean443841.31
Minimum441973.6
Maximum445786.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-30T04:58:35.477809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441973.6
5-th percentile442292.69
Q1443107.14
median443896.1
Q3444634.12
95-th percentile445148.58
Maximum445786.6
Range3812.9989
Interquartile range (IQR)1526.9794

Descriptive statistics

Standard deviation934.71662
Coefficient of variation (CV)0.0021059703
Kurtosis-1.0644552
Mean443841.31
Median Absolute Deviation (MAD)769.12676
Skewness-0.20214817
Sum54148640
Variance873695.15
MonotonicityNot monotonic
2024-04-30T04:58:35.609692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442639.420821243 3
 
2.4%
444193.860003095 3
 
2.4%
443427.686571608 3
 
2.4%
442979.635389002 2
 
1.6%
444317.135841703 2
 
1.6%
444306.771104527 2
 
1.6%
444576.537817778 2
 
1.6%
444921.078748984 2
 
1.6%
443743.18319767 2
 
1.6%
443918.187210602 2
 
1.6%
Other values (90) 99
79.2%
(Missing) 3
 
2.4%
ValueCountFrequency (%)
441973.603139541 1
0.8%
442154.992807483 1
0.8%
442219.137493629 1
0.8%
442224.13121712 1
0.8%
442246.763069115 1
0.8%
442279.869179424 1
0.8%
442287.430313169 1
0.8%
442392.645303533 1
0.8%
442396.350773 1
0.8%
442433.22500749 1
0.8%
ValueCountFrequency (%)
445786.602063 1
0.8%
445458.335742134 1
0.8%
445369.517787461 1
0.8%
445262.493847028 2
1.6%
445250.538868558 1
0.8%
445153.61016346 1
0.8%
445053.084826682 1
0.8%
445045.801388601 1
0.8%
444978.682746138 1
0.8%
444951.486533703 1
0.8%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
골프연습장업
109 
<NA>
16 

Length

Max length6
Median length6
Mean length5.744
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
골프연습장업 109
87.2%
<NA> 16
 
12.8%

Length

2024-04-30T04:58:35.729458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:58:35.815249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
골프연습장업 109
87.2%
na 16
 
12.8%

공사립구분명
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
사립
109 
<NA>
16 

Length

Max length4
Median length2
Mean length2.256
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 109
87.2%
<NA> 16
 
12.8%

Length

2024-04-30T04:58:35.907064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:58:36.006421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 109
87.2%
na 16
 
12.8%

보험가입여부코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
103 
0
20 
Y
 
2

Length

Max length4
Median length4
Mean length3.472
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> 103
82.4%
0 20
 
16.0%
Y 2
 
1.6%

Length

2024-04-30T04:58:36.095721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:58:36.203415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 103
82.4%
0 20
 
16.0%
y 2
 
1.6%

지도자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
0
19 
1
 
2

Length

Max length4
Median length4
Mean length3.496
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> 104
83.2%
0 19
 
15.2%
1 2
 
1.6%

Length

2024-04-30T04:58:36.296905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:58:36.378456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
83.2%
0 19
 
15.2%
1 2
 
1.6%

건축물동수
Categorical

Distinct4
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
86 
1
22 
0
15 
2
 
2

Length

Max length4
Median length4
Mean length3.064
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> 86
68.8%
1 22
 
17.6%
0 15
 
12.0%
2 2
 
1.6%

Length

2024-04-30T04:58:36.468651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:58:36.554538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 86
68.8%
1 22
 
17.6%
0 15
 
12.0%
2 2
 
1.6%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct34
Distinct (%)73.9%
Missing79
Missing (%)63.2%
Infinite0
Infinite (%)0.0%
Mean10341.752
Minimum0
Maximum187697
Zeros12
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-30T04:58:36.662418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115.75
median1433
Q34980.4025
95-th percentile44787.25
Maximum187697
Range187697
Interquartile range (IQR)4964.6525

Descriptive statistics

Standard deviation29275.894
Coefficient of variation (CV)2.8308448
Kurtosis31.149901
Mean10341.752
Median Absolute Deviation (MAD)1433
Skewness5.2588664
Sum475720.57
Variance8.5707794 × 108
MonotonicityNot monotonic
2024-04-30T04:58:36.779717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0.0 12
 
9.6%
2668.0 2
 
1.6%
4985.87 1
 
0.8%
45599.67 1
 
0.8%
42352.0 1
 
0.8%
21415.0 1
 
0.8%
1905.51 1
 
0.8%
3642.06 1
 
0.8%
29683.0 1
 
0.8%
15760.93 1
 
0.8%
Other values (24) 24
 
19.2%
(Missing) 79
63.2%
ValueCountFrequency (%)
0.0 12
9.6%
63.0 1
 
0.8%
162.0 1
 
0.8%
165.42 1
 
0.8%
233.0 1
 
0.8%
288.44 1
 
0.8%
293.0 1
 
0.8%
400.5 1
 
0.8%
448.0 1
 
0.8%
619.0 1
 
0.8%
ValueCountFrequency (%)
187697.0 1
0.8%
45599.67 1
0.8%
45599.0 1
0.8%
42352.0 1
0.8%
29683.0 1
0.8%
21415.0 1
0.8%
18496.28 1
0.8%
15760.93 1
0.8%
11764.77 1
0.8%
7020.0 1
0.8%

회원모집총인원
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
105 
0
20 

Length

Max length4
Median length4
Mean length3.52
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> 105
84.0%
0 20
 
16.0%

Length

2024-04-30T04:58:36.896309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:58:36.994624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 105
84.0%
0 20
 
16.0%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03160000CDFH330105199000000119900910<NA>4취소/말소/만료/정지/중지35직권말소20210702<NA><NA><NA>2602-4868<NA>152865서울특별시 구로구 구로동 612-10서울특별시 구로구 구로중앙로 215 (구로동)8216인애골프아카데미2021-05-31 09:17:56U2021-06-02 02:40:00.0<NA>189065.839819444751.671262골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
13160000CDFH330105199300000119930629<NA>4취소/말소/만료/정지/중지35직권말소20110328<NA><NA><NA>2616-0961<NA>152140서울특별시 구로구 항동 3-4번지<NA><NA>그린빌라2011-06-15 09:45:15I2018-08-31 23:59:59.0<NA>184343.815878442640.368628골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
23160000CDFH330105199400000119940513<NA>3폐업03폐업20220328<NA><NA><NA>2684-3323<NA><NA>서울특별시 구로구 오류동 111-3 경인골프연습장서울특별시 구로구 경인로3가길 10-14, 경인골프연습장 (오류동)8264경인골프연습장2022-03-28 14:12:16U2021-12-02 21:00:00.0<NA>184758.352564443279.406968<NA><NA><NA><NA><NA><NA><NA><NA><NA>
33160000CDFH330105199400000219940608<NA>4취소/말소/만료/정지/중지35직권말소20210702<NA><NA><NA>839-9192<NA>152868서울특별시 구로구 구로동 685-456 상가 202서울특별시 구로구 구일로2길 59 (구로동,상가 202)8325구일실내골프연습장2021-05-31 09:18:49U2021-06-02 02:40:00.0<NA>189035.538796443022.606113골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
43160000CDFH330105199500000119950814<NA>3폐업03폐업20130118<NA><NA><NA>2635-5555<NA>152887서울특별시 구로구 신도림동 332-1번지서울특별시 구로구 경인로67길 31 (신도림동)<NA>포쉬개발2013-01-21 13:11:52I2018-08-31 23:59:59.0<NA>190147.898574445786.602063골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
53160000CDFH330105199600000119960627<NA>1영업/정상13영업중<NA><NA><NA><NA>2613-5201<NA>152826서울특별시 구로구 고척동 77-5서울특별시 구로구 중앙로 27 (고척동)8225윈골프연습장2021-08-02 14:44:22U2021-08-04 02:40:00.0<NA>187823.441115444263.31774골프연습장업사립<NA>000.00<NA><NA>
63160000CDFH330105199700000219971001<NA>4취소/말소/만료/정지/중지35직권말소20210702<NA><NA><NA>867-8349<NA>152838서울특별시 구로구 구로동 49 지하1층서울특별시 구로구 공원로 26 (구로동,지하1층)8297금호골프연습장2021-05-31 09:19:25U2021-06-02 02:40:00.0<NA>190394.394227444191.966689골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
73160000CDFH330105199700000319971111<NA>4취소/말소/만료/정지/중지35직권말소20210702<NA><NA><NA>859-0707<NA>152879서울특별시 구로구 구로동 832서울특별시 구로구 디지털로26길 54 (구로동)8393마스터스골프연습장2021-05-31 09:20:01U2021-06-02 02:40:00.0<NA>190662.780817441973.60314골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
83160000CDFH330105199800000119980620<NA>3폐업03폐업20030704<NA><NA><NA>3281-4838<NA>152868서울특별시 구로구 구로동 685-140번지서울특별시 구로구 구일로10길 93 (구로동)<NA>월드코아골프스쿨2003-07-09 18:10:28I2018-08-31 23:59:59.0<NA>189052.101789443748.27929골프연습장업사립0<NA><NA><NA><NA><NA><NA>
93160000CDFH330105199800000219980813<NA>1영업/정상13영업중<NA><NA><NA><NA>854-2050<NA>152858서울특별시 구로구 구로동 476-6번지서울특별시 구로구 구로동로47길 11-1 (구로동)8281대동골프연습장2011-01-24 14:46:25I2018-08-31 23:59:59.0<NA>189479.919739443971.940931골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
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1193160000CDFH330105201800000120180314<NA>3폐업03폐업20210705<NA><NA><NA>02-6300-6666<NA><NA>서울특별시 구로구 구로동 188-5 키콕스벤처센터 지하1층서울특별시 구로구 디지털로32길 29, 키콕스벤처센터 B1층 (구로동)8379리얼바디짐2021-07-05 16:03:51U2021-07-07 02:40:00.0<NA>190847.61386442507.748861골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
1203160000CDFH330105201800000220181113<NA>3폐업03폐업20200406<NA><NA><NA>02-854-5333<NA><NA>서울특별시 구로구 구로동 642-105번지 2층호서울특별시 구로구 구일로8길 85, 2층호 (구로동)832310월스크린2020-04-06 10:15:13U2020-04-08 02:40:00.0<NA>188862.772909443865.52813골프연습장업사립Y<NA><NA><NA><NA><NA><NA>
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1223160000CDFH330105201900000220190503<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2654-5453<NA><NA>서울특별시 구로구 고척동 186-5 현준프라자서울특별시 구로구 목동남로 6, 현준프라자 5층 (고척동)8218신목동 스크린골프2022-09-15 16:16:59U2021-12-08 23:07:00.0<NA>187616.089122444951.486534<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1233160000CDFH33010520190000032019-08-21<NA>3폐업03폐업2024-01-02<NA><NA><NA>02-2676-0753<NA><NA>서울특별시 구로구 신도림동 412-3 신도림팰러티움서울특별시 구로구 경인로 584, 지하층 B105~B109호 (신도림동, 신도림팰러티움)8213지지금강(SG골프 구로역점)2024-01-02 17:52:57U2023-12-01 00:04:00.0<NA>189483.883249444644.588281<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1243160000CDFH33010520230000012023-07-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 501 신구로자이나인스에비뉴서울특별시 구로구 구로중앙로 134, 지하2층 다016호 외44개호 (구로동, 신구로자이나인스에비뉴)8293주식회사 창스파크골프 구로센터2023-07-21 13:16:57I2022-12-06 22:03:00.0<NA>189682.799435444193.860003<NA><NA><NA><NA><NA><NA><NA><NA><NA>