Overview

Dataset statistics

Number of variables34
Number of observations101
Missing cells791
Missing cells (%)23.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.7 KiB
Average record size in memory291.3 B

Variable types

Categorical15
Text7
DateTime3
Unsupported6
Numeric3

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,공사립구분명,보험가입여부코드,지도자수,건축물동수,건축물연면적,회원모집총인원,세부업종명,법인명
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-19590/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (89.9%)Imbalance
휴업종료일자 is highly imbalanced (89.9%)Imbalance
지도자수 is highly imbalanced (79.8%)Imbalance
건축물동수 is highly imbalanced (76.0%)Imbalance
회원모집총인원 is highly imbalanced (71.6%)Imbalance
인허가취소일자 has 101 (100.0%) missing valuesMissing
폐업일자 has 43 (42.6%) missing valuesMissing
재개업일자 has 101 (100.0%) missing valuesMissing
전화번호 has 10 (9.9%) missing valuesMissing
소재지면적 has 101 (100.0%) missing valuesMissing
소재지우편번호 has 12 (11.9%) missing valuesMissing
도로명주소 has 3 (3.0%) missing valuesMissing
도로명우편번호 has 26 (25.7%) missing valuesMissing
업태구분명 has 101 (100.0%) missing valuesMissing
건축물연면적 has 91 (90.1%) missing valuesMissing
세부업종명 has 101 (100.0%) missing valuesMissing
법인명 has 101 (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 4 (4.0%) zerosZeros

Reproduction

Analysis started2024-05-11 01:26:45.406918
Analysis finished2024-05-11 01:26:47.143713
Duration1.74 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
3130000
101 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3130000
2nd row3130000
3rd row3130000
4th row3130000
5th row3130000

Common Values

ValueCountFrequency (%)
3130000 101
100.0%

Length

2024-05-11T01:26:47.398145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:26:47.795370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 101
100.0%

관리번호
Text

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2024-05-11T01:26:48.423536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2020
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

Unique101 ?
Unique (%)100.0%

Sample

1st rowCDFH3301051989000001
2nd rowCDFH3301051995000001
3rd rowCDFH3301051996000001
4th rowCDFH3301051996000003
5th rowCDFH3301051996000004
ValueCountFrequency (%)
cdfh3301051989000001 1
 
1.0%
cdfh3301052008000013 1
 
1.0%
cdfh3301052010000005 1
 
1.0%
cdfh3301052010000004 1
 
1.0%
cdfh3301052010000003 1
 
1.0%
cdfh3301052010000001 1
 
1.0%
cdfh3301052009000016 1
 
1.0%
cdfh3301052009000015 1
 
1.0%
cdfh3301052009000014 1
 
1.0%
cdfh3301052009000013 1
 
1.0%
Other values (91) 91
90.1%
2024-05-11T01:26:49.813553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 861
42.6%
3 222
 
11.0%
1 188
 
9.3%
5 118
 
5.8%
2 118
 
5.8%
C 101
 
5.0%
D 101
 
5.0%
F 101
 
5.0%
H 101
 
5.0%
9 32
 
1.6%
Other values (4) 77
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1616
80.0%
Uppercase Letter 404
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 861
53.3%
3 222
 
13.7%
1 188
 
11.6%
5 118
 
7.3%
2 118
 
7.3%
9 32
 
2.0%
8 29
 
1.8%
4 20
 
1.2%
6 15
 
0.9%
7 13
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 101
25.0%
D 101
25.0%
F 101
25.0%
H 101
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1616
80.0%
Latin 404
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 861
53.3%
3 222
 
13.7%
1 188
 
11.6%
5 118
 
7.3%
2 118
 
7.3%
9 32
 
2.0%
8 29
 
1.8%
4 20
 
1.2%
6 15
 
0.9%
7 13
 
0.8%
Latin
ValueCountFrequency (%)
C 101
25.0%
D 101
25.0%
F 101
25.0%
H 101
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2020
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 861
42.6%
3 222
 
11.0%
1 188
 
9.3%
5 118
 
5.8%
2 118
 
5.8%
C 101
 
5.0%
D 101
 
5.0%
F 101
 
5.0%
H 101
 
5.0%
9 32
 
1.6%
Other values (4) 77
 
3.8%

인허가일자
Date

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
Minimum1989-12-29 00:00:00
Maximum2019-08-26 00:00:00
2024-05-11T01:26:50.288101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:26:50.940078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing101
Missing (%)100.0%
Memory size1.0 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
3
57 
1
41 
2
 
2
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 57
56.4%
1 41
40.6%
2 2
 
2.0%
4 1
 
1.0%

Length

2024-05-11T01:26:51.416407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:26:51.922026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 57
56.4%
1 41
40.6%
2 2
 
2.0%
4 1
 
1.0%

영업상태명
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
폐업
57 
영업/정상
41 
휴업
 
2
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length3.3366337
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 57
56.4%
영업/정상 41
40.6%
휴업 2
 
2.0%
취소/말소/만료/정지/중지 1
 
1.0%

Length

2024-05-11T01:26:52.662688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:26:53.163684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 57
56.4%
영업/정상 41
40.6%
휴업 2
 
2.0%
취소/말소/만료/정지/중지 1
 
1.0%

상세영업상태코드
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
3
57 
13
41 
2
 
2
35
 
1

Length

Max length2
Median length1
Mean length1.4158416
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 57
56.4%
13 41
40.6%
2 2
 
2.0%
35 1
 
1.0%

Length

2024-05-11T01:26:53.680375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:26:54.166697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 57
56.4%
13 41
40.6%
2 2
 
2.0%
35 1
 
1.0%

상세영업상태명
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
폐업
57 
영업중
41 
휴업
 
2
직권말소
 
1

Length

Max length4
Median length2
Mean length2.4257426
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 57
56.4%
영업중 41
40.6%
휴업 2
 
2.0%
직권말소 1
 
1.0%

Length

2024-05-11T01:26:54.728188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:26:55.185479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 57
56.4%
영업중 41
40.6%
휴업 2
 
2.0%
직권말소 1
 
1.0%

폐업일자
Date

MISSING 

Distinct58
Distinct (%)100.0%
Missing43
Missing (%)42.6%
Memory size940.0 B
Minimum2005-02-18 00:00:00
Maximum2023-12-07 00:00:00
2024-05-11T01:26:55.581695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:26:56.005516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
<NA>
99 
20130827
 
1
20180816
 
1

Length

Max length8
Median length4
Mean length4.0792079
Min length4

Unique

Unique2 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 99
98.0%
20130827 1
 
1.0%
20180816 1
 
1.0%

Length

2024-05-11T01:26:56.535391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:26:56.942709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 99
98.0%
20130827 1
 
1.0%
20180816 1
 
1.0%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
<NA>
99 
20131231
 
1
20180816
 
1

Length

Max length8
Median length4
Mean length4.0792079
Min length4

Unique

Unique2 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 99
98.0%
20131231 1
 
1.0%
20180816 1
 
1.0%

Length

2024-05-11T01:26:57.260409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:26:57.562880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 99
98.0%
20131231 1
 
1.0%
20180816 1
 
1.0%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing101
Missing (%)100.0%
Memory size1.0 KiB

전화번호
Text

MISSING 

Distinct91
Distinct (%)100.0%
Missing10
Missing (%)9.9%
Memory size940.0 B
2024-05-11T01:26:58.240029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.054945
Min length7

Characters and Unicode

Total characters915
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

Unique91 ?
Unique (%)100.0%

Sample

1st row324-7800
2nd row02-3141-0370
3rd row712-0538
4th row02-3141-8972
5th row325-2588
ValueCountFrequency (%)
313-8615 1
 
1.1%
02-6323-6266 1
 
1.1%
02-323-7770 1
 
1.1%
02-701-2818 1
 
1.1%
02-3144-4200 1
 
1.1%
02-373-0753 1
 
1.1%
02-703-0727 1
 
1.1%
02-714-7600 1
 
1.1%
02-333-9995 1
 
1.1%
02-703-0709 1
 
1.1%
Other values (81) 81
89.0%
2024-05-11T01:26:59.461152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 163
17.8%
- 146
16.0%
3 119
13.0%
7 113
12.3%
2 113
12.3%
1 65
 
7.1%
8 43
 
4.7%
5 42
 
4.6%
9 40
 
4.4%
4 39
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 769
84.0%
Dash Punctuation 146
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 163
21.2%
3 119
15.5%
7 113
14.7%
2 113
14.7%
1 65
 
8.5%
8 43
 
5.6%
5 42
 
5.5%
9 40
 
5.2%
4 39
 
5.1%
6 32
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 146
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 915
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 163
17.8%
- 146
16.0%
3 119
13.0%
7 113
12.3%
2 113
12.3%
1 65
 
7.1%
8 43
 
4.7%
5 42
 
4.6%
9 40
 
4.4%
4 39
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 915
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 163
17.8%
- 146
16.0%
3 119
13.0%
7 113
12.3%
2 113
12.3%
1 65
 
7.1%
8 43
 
4.7%
5 42
 
4.6%
9 40
 
4.4%
4 39
 
4.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing101
Missing (%)100.0%
Memory size1.0 KiB

소재지우편번호
Text

MISSING 

Distinct60
Distinct (%)67.4%
Missing12
Missing (%)11.9%
Memory size940.0 B
2024-05-11T01:27:00.017777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0561798
Min length6

Characters and Unicode

Total characters539
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

Unique41 ?
Unique (%)46.1%

Sample

1st row121842
2nd row121894
3rd row121876
4th row121827
5th row121895
ValueCountFrequency (%)
121875 5
 
5.6%
121876 4
 
4.5%
121894 3
 
3.4%
121805 3
 
3.4%
121841 3
 
3.4%
121849 3
 
3.4%
121896 3
 
3.4%
121807 2
 
2.2%
121801 2
 
2.2%
121842 2
 
2.2%
Other values (50) 59
66.3%
2024-05-11T01:27:00.919400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 203
37.7%
2 98
18.2%
8 83
15.4%
4 27
 
5.0%
5 26
 
4.8%
0 26
 
4.8%
7 25
 
4.6%
9 17
 
3.2%
3 15
 
2.8%
6 14
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 534
99.1%
Dash Punctuation 5
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 203
38.0%
2 98
18.4%
8 83
15.5%
4 27
 
5.1%
5 26
 
4.9%
0 26
 
4.9%
7 25
 
4.7%
9 17
 
3.2%
3 15
 
2.8%
6 14
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 539
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 203
37.7%
2 98
18.2%
8 83
15.4%
4 27
 
5.0%
5 26
 
4.8%
0 26
 
4.8%
7 25
 
4.6%
9 17
 
3.2%
3 15
 
2.8%
6 14
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 539
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 203
37.7%
2 98
18.2%
8 83
15.4%
4 27
 
5.0%
5 26
 
4.8%
0 26
 
4.8%
7 25
 
4.6%
9 17
 
3.2%
3 15
 
2.8%
6 14
 
2.6%

지번주소
Text

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2024-05-11T01:27:01.671825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length37
Mean length28.70297
Min length18

Characters and Unicode

Total characters2899
Distinct characters161
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

Unique97 ?
Unique (%)96.0%

Sample

1st row서울특별시 마포구 서교동 460-25번지
2nd row서울특별시 마포구 서교동 374-11번지
3rd row서울특별시 마포구 용강동 122-16번지
4th row서울특별시 마포구 망원동 481-1번지
5th row서울특별시 마포구 서교동 400-3번지
ValueCountFrequency (%)
서울특별시 101
18.5%
마포구 101
18.5%
지하1층 18
 
3.3%
지층 13
 
2.4%
도화동 12
 
2.2%
서교동 12
 
2.2%
지1층 11
 
2.0%
상암동 11
 
2.0%
성산동 11
 
2.0%
용강동 10
 
1.8%
Other values (192) 246
45.1%
2024-05-11T01:27:03.111527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
528
 
18.2%
1 171
 
5.9%
지 135
 
4.7%
서 114
 
3.9%
마 108
 
3.7%
포 106
 
3.7%
동 106
 
3.7%
구 104
 
3.6%
별 102
 
3.5%
시 102
 
3.5%
Other values (151) 1323
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1676
57.8%
Decimal Number 562
 
19.4%
Space Separator 528
 
18.2%
Dash Punctuation 73
 
2.5%
Uppercase Letter 35
 
1.2%
Other Punctuation 11
 
0.4%
Math Symbol 8
 
0.3%
Lowercase Letter 4
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 135
 
8.1%
서 114
 
6.8%
마 108
 
6.4%
포 106
 
6.3%
동 106
 
6.3%
구 104
 
6.2%
별 102
 
6.1%
시 102
 
6.1%
울 102
 
6.1%
특 101
 
6.0%
Other values (122) 596
35.6%
Decimal Number
ValueCountFrequency (%)
1 171
30.4%
5 60
 
10.7%
0 59
 
10.5%
3 57
 
10.1%
2 57
 
10.1%
4 49
 
8.7%
6 39
 
6.9%
7 35
 
6.2%
9 25
 
4.4%
8 10
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
B 21
60.0%
K 3
 
8.6%
A 3
 
8.6%
S 2
 
5.7%
T 2
 
5.7%
I 1
 
2.9%
P 1
 
2.9%
R 1
 
2.9%
M 1
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
r 1
25.0%
e 1
25.0%
w 1
25.0%
o 1
25.0%
Space Separator
ValueCountFrequency (%)
528
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 73
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1676
57.8%
Common 1184
40.8%
Latin 39
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 135
 
8.1%
서 114
 
6.8%
마 108
 
6.4%
포 106
 
6.3%
동 106
 
6.3%
구 104
 
6.2%
별 102
 
6.1%
시 102
 
6.1%
울 102
 
6.1%
특 101
 
6.0%
Other values (122) 596
35.6%
Common
ValueCountFrequency (%)
528
44.6%
1 171
 
14.4%
- 73
 
6.2%
5 60
 
5.1%
0 59
 
5.0%
3 57
 
4.8%
2 57
 
4.8%
4 49
 
4.1%
6 39
 
3.3%
7 35
 
3.0%
Other values (6) 56
 
4.7%
Latin
ValueCountFrequency (%)
B 21
53.8%
K 3
 
7.7%
A 3
 
7.7%
S 2
 
5.1%
T 2
 
5.1%
r 1
 
2.6%
e 1
 
2.6%
w 1
 
2.6%
o 1
 
2.6%
I 1
 
2.6%
Other values (3) 3
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1676
57.8%
ASCII 1223
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
528
43.2%
1 171
 
14.0%
- 73
 
6.0%
5 60
 
4.9%
0 59
 
4.8%
3 57
 
4.7%
2 57
 
4.7%
4 49
 
4.0%
6 39
 
3.2%
7 35
 
2.9%
Other values (19) 95
 
7.8%
Hangul
ValueCountFrequency (%)
지 135
 
8.1%
서 114
 
6.8%
마 108
 
6.4%
포 106
 
6.3%
동 106
 
6.3%
구 104
 
6.2%
별 102
 
6.1%
시 102
 
6.1%
울 102
 
6.1%
특 101
 
6.0%
Other values (122) 596
35.6%

도로명주소
Text

MISSING 

Distinct96
Distinct (%)98.0%
Missing3
Missing (%)3.0%
Memory size940.0 B
2024-05-11T01:27:03.860955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length45.5
Mean length33.816327
Min length22

Characters and Unicode

Total characters3314
Distinct characters188
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

Unique94 ?
Unique (%)95.9%

Sample

1st row서울특별시 마포구 잔다리로 58 (서교동)
2nd row서울특별시 마포구 토정로32길 4 (용강동)
3rd row서울특별시 마포구 월드컵로 123 (망원동)
4th row서울특별시 마포구 독막로7길 27 (서교동)
5th row서울특별시 마포구 연희로 39 (연남동,지층)
ValueCountFrequency (%)
서울특별시 98
 
15.7%
마포구 98
 
15.7%
지하1층 39
 
6.2%
마포대로 15
 
2.4%
도화동 11
 
1.8%
월드컵북로 10
 
1.6%
서교동 10
 
1.6%
성산동 9
 
1.4%
상암동 9
 
1.4%
독막로 8
 
1.3%
Other values (220) 317
50.8%
2024-05-11T01:27:05.143159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
550
 
16.6%
1 151
 
4.6%
마 122
 
3.7%
, 120
 
3.6%
포 120
 
3.6%
서 113
 
3.4%
동 105
 
3.2%
시 103
 
3.1%
구 101
 
3.0%
) 99
 
3.0%
Other values (178) 1730
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1930
58.2%
Space Separator 550
 
16.6%
Decimal Number 457
 
13.8%
Other Punctuation 120
 
3.6%
Close Punctuation 99
 
3.0%
Open Punctuation 99
 
3.0%
Uppercase Letter 37
 
1.1%
Math Symbol 11
 
0.3%
Dash Punctuation 6
 
0.2%
Lowercase Letter 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 122
 
6.3%
포 120
 
6.2%
서 113
 
5.9%
동 105
 
5.4%
시 103
 
5.3%
구 101
 
5.2%
별 99
 
5.1%
울 99
 
5.1%
특 98
 
5.1%
로 96
 
5.0%
Other values (147) 874
45.3%
Uppercase Letter
ValueCountFrequency (%)
B 22
59.5%
K 3
 
8.1%
M 2
 
5.4%
T 2
 
5.4%
S 2
 
5.4%
A 1
 
2.7%
P 1
 
2.7%
C 1
 
2.7%
D 1
 
2.7%
I 1
 
2.7%
Decimal Number
ValueCountFrequency (%)
1 151
33.0%
3 62
13.6%
2 59
 
12.9%
0 53
 
11.6%
4 33
 
7.2%
8 22
 
4.8%
6 21
 
4.6%
5 21
 
4.6%
7 20
 
4.4%
9 15
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
w 1
20.0%
r 1
20.0%
o 1
20.0%
Space Separator
ValueCountFrequency (%)
550
100.0%
Other Punctuation
ValueCountFrequency (%)
, 120
100.0%
Close Punctuation
ValueCountFrequency (%)
) 99
100.0%
Open Punctuation
ValueCountFrequency (%)
( 99
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1930
58.2%
Common 1342
40.5%
Latin 42
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 122
 
6.3%
포 120
 
6.2%
서 113
 
5.9%
동 105
 
5.4%
시 103
 
5.3%
구 101
 
5.2%
별 99
 
5.1%
울 99
 
5.1%
특 98
 
5.1%
로 96
 
5.0%
Other values (147) 874
45.3%
Common
ValueCountFrequency (%)
550
41.0%
1 151
 
11.3%
, 120
 
8.9%
) 99
 
7.4%
( 99
 
7.4%
3 62
 
4.6%
2 59
 
4.4%
0 53
 
3.9%
4 33
 
2.5%
8 22
 
1.6%
Other values (6) 94
 
7.0%
Latin
ValueCountFrequency (%)
B 22
52.4%
K 3
 
7.1%
e 2
 
4.8%
M 2
 
4.8%
T 2
 
4.8%
S 2
 
4.8%
A 1
 
2.4%
P 1
 
2.4%
C 1
 
2.4%
D 1
 
2.4%
Other values (5) 5
 
11.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1930
58.2%
ASCII 1384
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
550
39.7%
1 151
 
10.9%
, 120
 
8.7%
) 99
 
7.2%
( 99
 
7.2%
3 62
 
4.5%
2 59
 
4.3%
0 53
 
3.8%
4 33
 
2.4%
B 22
 
1.6%
Other values (21) 136
 
9.8%
Hangul
ValueCountFrequency (%)
마 122
 
6.3%
포 120
 
6.2%
서 113
 
5.9%
동 105
 
5.4%
시 103
 
5.3%
구 101
 
5.2%
별 99
 
5.1%
울 99
 
5.1%
특 98
 
5.1%
로 96
 
5.0%
Other values (147) 874
45.3%

도로명우편번호
Text

MISSING 

Distinct63
Distinct (%)84.0%
Missing26
Missing (%)25.7%
Memory size940.0 B
2024-05-11T01:27:05.880231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1466667
Min length5

Characters and Unicode

Total characters386
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

Unique52 ?
Unique (%)69.3%

Sample

1st row04033
2nd row03963
3rd row04073
4th row04074
5th row121805
ValueCountFrequency (%)
04000 3
 
4.0%
03924 2
 
2.7%
04207 2
 
2.7%
04166 2
 
2.7%
03963 2
 
2.7%
04033 2
 
2.7%
04165 2
 
2.7%
04174 2
 
2.7%
03938 2
 
2.7%
04157 2
 
2.7%
Other values (53) 54
72.0%
2024-05-11T01:27:07.226022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 105
27.2%
4 59
15.3%
1 53
13.7%
3 39
 
10.1%
9 33
 
8.5%
2 26
 
6.7%
7 20
 
5.2%
6 18
 
4.7%
8 17
 
4.4%
5 15
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 385
99.7%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 105
27.3%
4 59
15.3%
1 53
13.8%
3 39
 
10.1%
9 33
 
8.6%
2 26
 
6.8%
7 20
 
5.2%
6 18
 
4.7%
8 17
 
4.4%
5 15
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 386
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 105
27.2%
4 59
15.3%
1 53
13.7%
3 39
 
10.1%
9 33
 
8.5%
2 26
 
6.7%
7 20
 
5.2%
6 18
 
4.7%
8 17
 
4.4%
5 15
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 386
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 105
27.2%
4 59
15.3%
1 53
13.7%
3 39
 
10.1%
9 33
 
8.5%
2 26
 
6.7%
7 20
 
5.2%
6 18
 
4.7%
8 17
 
4.4%
5 15
 
3.9%

사업장명
Text

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2024-05-11T01:27:07.980940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length7.950495
Min length2

Characters and Unicode

Total characters803
Distinct characters167
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)98.0%

Sample

1st row청기와골프장
2nd row서경골프
3rd row나르샤골프스쿨
4th row그린
5th row마스터즈
ValueCountFrequency (%)
스크린골프 9
 
6.5%
휘트니스 5
 
3.6%
골프존 3
 
2.2%
골프 3
 
2.2%
스크린골프존 2
 
1.4%
휘트니스엠 2
 
1.4%
홀인원 2
 
1.4%
그린 2
 
1.4%
스튜디오 1
 
0.7%
큐어짐 1
 
0.7%
Other values (108) 108
78.3%
2024-05-11T01:27:09.666517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
프 78
 
9.7%
골 77
 
9.6%
스 76
 
9.5%
크 42
 
5.2%
린 40
 
5.0%
37
 
4.6%
트 18
 
2.2%
니 16
 
2.0%
존 14
 
1.7%
휘 12
 
1.5%
Other values (157) 393
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 723
90.0%
Space Separator 37
 
4.6%
Uppercase Letter 27
 
3.4%
Decimal Number 6
 
0.7%
Open Punctuation 4
 
0.5%
Close Punctuation 4
 
0.5%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
프 78
 
10.8%
골 77
 
10.7%
스 76
 
10.5%
크 42
 
5.8%
린 40
 
5.5%
트 18
 
2.5%
니 16
 
2.2%
존 14
 
1.9%
휘 12
 
1.7%
이 12
 
1.7%
Other values (131) 338
46.7%
Uppercase Letter
ValueCountFrequency (%)
N 3
11.1%
M 3
11.1%
C 3
11.1%
E 2
 
7.4%
D 2
 
7.4%
K 2
 
7.4%
P 2
 
7.4%
G 2
 
7.4%
O 1
 
3.7%
A 1
 
3.7%
Other values (6) 6
22.2%
Decimal Number
ValueCountFrequency (%)
9 2
33.3%
7 1
16.7%
2 1
16.7%
4 1
16.7%
1 1
16.7%
Other Punctuation
ValueCountFrequency (%)
? 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 723
90.0%
Common 53
 
6.6%
Latin 27
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
프 78
 
10.8%
골 77
 
10.7%
스 76
 
10.5%
크 42
 
5.8%
린 40
 
5.5%
트 18
 
2.5%
니 16
 
2.2%
존 14
 
1.9%
휘 12
 
1.7%
이 12
 
1.7%
Other values (131) 338
46.7%
Latin
ValueCountFrequency (%)
N 3
11.1%
M 3
11.1%
C 3
11.1%
E 2
 
7.4%
D 2
 
7.4%
K 2
 
7.4%
P 2
 
7.4%
G 2
 
7.4%
O 1
 
3.7%
A 1
 
3.7%
Other values (6) 6
22.2%
Common
ValueCountFrequency (%)
37
69.8%
( 4
 
7.5%
) 4
 
7.5%
9 2
 
3.8%
? 1
 
1.9%
& 1
 
1.9%
7 1
 
1.9%
2 1
 
1.9%
4 1
 
1.9%
1 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 723
90.0%
ASCII 80
 
10.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
프 78
 
10.8%
골 77
 
10.7%
스 76
 
10.5%
크 42
 
5.8%
린 40
 
5.5%
트 18
 
2.5%
니 16
 
2.2%
존 14
 
1.9%
휘 12
 
1.7%
이 12
 
1.7%
Other values (131) 338
46.7%
ASCII
ValueCountFrequency (%)
37
46.2%
( 4
 
5.0%
) 4
 
5.0%
N 3
 
3.8%
M 3
 
3.8%
C 3
 
3.8%
E 2
 
2.5%
D 2
 
2.5%
K 2
 
2.5%
P 2
 
2.5%
Other values (16) 18
22.5%

최종수정일자
Date

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
Minimum2004-06-10 17:01:26
Maximum2024-04-30 11:22:14
2024-05-11T01:27:10.530677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:27:11.540503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
I
68 
U
33 

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 68
67.3%
U 33
32.7%

Length

2024-05-11T01:27:12.332424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:27:12.655317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 68
67.3%
u 33
32.7%

데이터갱신일자
Categorical

Distinct35
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Memory size940.0 B
2018-08-31 23:59:59.0
67 
2021-04-03 02:40:00.0
 
1
2023-12-05 00:02:00.0
 
1
2019-06-05 02:40:00.0
 
1
2021-10-07 02:40:00.0
 
1
Other values (30)
30 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique34 ?
Unique (%)33.7%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 67
66.3%
2021-04-03 02:40:00.0 1
 
1.0%
2023-12-05 00:02:00.0 1
 
1.0%
2019-06-05 02:40:00.0 1
 
1.0%
2021-10-07 02:40:00.0 1
 
1.0%
2019-10-09 02:40:00.0 1
 
1.0%
2021-03-14 02:40:00.0 1
 
1.0%
2022-12-04 22:07:00.0 1
 
1.0%
2020-09-25 02:40:00.0 1
 
1.0%
2021-02-21 02:40:00.0 1
 
1.0%
Other values (25) 25
 
24.8%

Length

2024-05-11T01:27:13.117105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 67
33.2%
23:59:59.0 67
33.2%
02:40:00.0 18
 
8.9%
2022-12-04 4
 
2.0%
00:09:00.0 2
 
1.0%
00:02:00.0 2
 
1.0%
23:03:00.0 2
 
1.0%
00:08:00.0 2
 
1.0%
2021-10-31 1
 
0.5%
2022-12-07 1
 
0.5%
Other values (36) 36
17.8%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing101
Missing (%)100.0%
Memory size1.0 KiB

좌표정보(X)
Real number (ℝ)

Distinct90
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean193631.64
Minimum189683.41
Maximum196122.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T01:27:13.600504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189683.41
5-th percentile190086.63
Q1192310.21
median193982.87
Q3195214.31
95-th percentile195998.69
Maximum196122.72
Range6439.3046
Interquartile range (IQR)2904.0987

Descriptive statistics

Standard deviation1847.9191
Coefficient of variation (CV)0.0095434769
Kurtosis-0.87861302
Mean193631.64
Median Absolute Deviation (MAD)1325.5929
Skewness-0.51142667
Sum19556796
Variance3414805
MonotonicityNot monotonic
2024-05-11T01:27:14.171257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
189683.413598 2
 
2.0%
194343.471516512 2
 
2.0%
195067.563358295 2
 
2.0%
192792.658355309 2
 
2.0%
195900.709427813 2
 
2.0%
196061.875299768 2
 
2.0%
194878.789499404 2
 
2.0%
195214.309334733 2
 
2.0%
195614.865103655 2
 
2.0%
194742.383947684 2
 
2.0%
Other values (80) 81
80.2%
ValueCountFrequency (%)
189683.413598 2
2.0%
189857.566447564 1
1.0%
189988.285119266 1
1.0%
190070.994854984 1
1.0%
190086.625449279 1
1.0%
190250.875091908 1
1.0%
190490.42641517 1
1.0%
190591.913002866 1
1.0%
190602.701964797 1
1.0%
190707.026133738 1
1.0%
ValueCountFrequency (%)
196122.718192823 1
1.0%
196087.923812924 1
1.0%
196061.875299768 2
2.0%
196057.949965838 1
1.0%
195998.685331221 1
1.0%
195978.443676521 1
1.0%
195900.709427813 2
2.0%
195775.018463291 1
1.0%
195669.217619713 1
1.0%
195614.865103655 2
2.0%

좌표정보(Y)
Real number (ℝ)

Distinct90
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean450117.88
Minimum448236.66
Maximum453407.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T01:27:14.944696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448236.66
5-th percentile448533.38
Q1449110.13
median449728.63
Q3450716.54
95-th percentile453176.82
Maximum453407.67
Range5171.0182
Interquartile range (IQR)1606.4052

Descriptive statistics

Standard deviation1384.2178
Coefficient of variation (CV)0.003075234
Kurtosis-0.054588724
Mean450117.88
Median Absolute Deviation (MAD)917.68906
Skewness0.89513988
Sum45461906
Variance1916058.9
MonotonicityNot monotonic
2024-05-11T01:27:15.802774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
453407.67377 2
 
2.0%
450203.900484327 2
 
2.0%
448802.592741882 2
 
2.0%
450196.833108884 2
 
2.0%
449728.629171661 2
 
2.0%
449398.25877767 2
 
2.0%
449445.264338074 2
 
2.0%
448572.253976483 2
 
2.0%
449366.926256986 2
 
2.0%
448757.883381233 2
 
2.0%
Other values (80) 81
80.2%
ValueCountFrequency (%)
448236.655548283 1
1.0%
448318.358910522 1
1.0%
448393.658663222 1
1.0%
448463.997345199 1
1.0%
448476.859046692 1
1.0%
448533.382459215 1
1.0%
448570.97828218 1
1.0%
448572.253976483 2
2.0%
448575.956518546 1
1.0%
448632.19327879 1
1.0%
ValueCountFrequency (%)
453407.67377 2
2.0%
453271.198852486 1
1.0%
453238.148137922 1
1.0%
453231.427685063 1
1.0%
453176.817119902 1
1.0%
453017.867202928 1
1.0%
452920.989704662 1
1.0%
452676.547382437 1
1.0%
452612.042328463 1
1.0%
452485.62982291 1
1.0%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
골프연습장업
87 
<NA>
14 

Length

Max length6
Median length6
Mean length5.7227723
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
골프연습장업 87
86.1%
<NA> 14
 
13.9%

Length

2024-05-11T01:27:16.549425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:27:17.223877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
골프연습장업 87
86.1%
na 14
 
13.9%

공사립구분명
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
사립
87 
<NA>
14 

Length

Max length4
Median length2
Mean length2.2772277
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 87
86.1%
<NA> 14
 
13.9%

Length

2024-05-11T01:27:17.772314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:27:18.375470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 87
86.1%
na 14
 
13.9%

보험가입여부코드
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
<NA>
86 
0
15 

Length

Max length4
Median length4
Mean length3.5544554
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 86
85.1%
0 15
 
14.9%

Length

2024-05-11T01:27:18.818263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:27:19.455564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 86
85.1%
0 15
 
14.9%

지도자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
<NA>
96 
0
 
4
1
 
1

Length

Max length4
Median length4
Mean length3.8514851
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 96
95.0%
0 4
 
4.0%
1 1
 
1.0%

Length

2024-05-11T01:27:19.767893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:27:20.251709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 96
95.0%
0 4
 
4.0%
1 1
 
1.0%

건축물동수
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
<NA>
95 
0
 
4
1
 
2

Length

Max length4
Median length4
Mean length3.8217822
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> 95
94.1%
0 4
 
4.0%
1 2
 
2.0%

Length

2024-05-11T01:27:20.818781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:27:21.288530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
94.1%
0 4
 
4.0%
1 2
 
2.0%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)70.0%
Missing91
Missing (%)90.1%
Infinite0
Infinite (%)0.0%
Mean2269.467
Minimum0
Maximum7366.95
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T01:27:21.892910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median481.37
Q34623.8375
95-th percentile7033.716
Maximum7366.95
Range7366.95
Interquartile range (IQR)4623.8375

Descriptive statistics

Standard deviation3015.2338
Coefficient of variation (CV)1.3286088
Kurtosis-1.0146218
Mean2269.467
Median Absolute Deviation (MAD)481.37
Skewness0.94246532
Sum22694.67
Variance9091635
MonotonicityNot monotonic
2024-05-11T01:27:22.406633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 4
 
4.0%
2360.15 1
 
1.0%
175.54 1
 
1.0%
787.2 1
 
1.0%
5378.4 1
 
1.0%
7366.95 1
 
1.0%
6626.43 1
 
1.0%
(Missing) 91
90.1%
ValueCountFrequency (%)
0.0 4
4.0%
175.54 1
 
1.0%
787.2 1
 
1.0%
2360.15 1
 
1.0%
5378.4 1
 
1.0%
6626.43 1
 
1.0%
7366.95 1
 
1.0%
ValueCountFrequency (%)
7366.95 1
 
1.0%
6626.43 1
 
1.0%
5378.4 1
 
1.0%
2360.15 1
 
1.0%
787.2 1
 
1.0%
175.54 1
 
1.0%
0.0 4
4.0%

회원모집총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
<NA>
96 
0
 
5

Length

Max length4
Median length4
Mean length3.8514851
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> 96
95.0%
0 5
 
5.0%

Length

2024-05-11T01:27:22.926072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:27:23.408535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 96
95.0%
0 5
 
5.0%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing101
Missing (%)100.0%
Memory size1.0 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing101
Missing (%)100.0%
Memory size1.0 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03130000CDFH330105198900000119891229<NA>3폐업3폐업20131204<NA><NA><NA>324-7800<NA>121842서울특별시 마포구 서교동 460-25번지<NA><NA>청기와골프장2013-12-04 17:27:36I2018-08-31 23:59:59.0<NA>192579.727676450446.890829골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
13130000CDFH330105199500000119950224<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3141-0370<NA>121894서울특별시 마포구 서교동 374-11번지서울특별시 마포구 잔다리로 58 (서교동)04033서경골프2017-01-03 16:05:31I2018-08-31 23:59:59.0<NA>192689.128312450100.834456골프연습장업사립<NA><NA><NA>2360.15<NA><NA><NA>
23130000CDFH330105199600000119960429<NA>4취소/말소/만료/정지/중지35직권말소20100119<NA><NA><NA>712-0538<NA>121876서울특별시 마포구 용강동 122-16번지서울특별시 마포구 토정로32길 4 (용강동)<NA>나르샤골프스쿨2010-01-20 09:56:27I2018-08-31 23:59:59.0<NA>194742.383948448757.883381골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
33130000CDFH330105199600000319961025<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3141-8972<NA>121827서울특별시 마포구 망원동 481-1번지서울특별시 마포구 월드컵로 123 (망원동)03963그린2014-01-07 17:25:23I2018-08-31 23:59:59.0<NA>191701.245521450756.814391골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
43130000CDFH330105199600000419961106<NA>3폐업3폐업20081002<NA><NA><NA>325-2588<NA>121895서울특별시 마포구 서교동 400-3번지서울특별시 마포구 독막로7길 27 (서교동)<NA>마스터즈2008-10-02 15:55:06I2018-08-31 23:59:59.0<NA>192776.687075449657.674645골프연습장업사립0<NA><NA><NA><NA><NA><NA>
53130000CDFH330105199700000119970909<NA>3폐업3폐업20121207<NA><NA><NA><NA><NA>121240서울특별시 마포구 연남동 226-14번지 지층서울특별시 마포구 연희로 39 (연남동,지층)<NA>한양골프스쿨2012-12-07 17:57:18I2018-08-31 23:59:59.0<NA>193504.422765451128.233048골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
63130000CDFH330105199800000119980401<NA>1영업/정상13영업중<NA><NA><NA><NA>02-334-0083<NA>121883서울특별시 마포구 합정동 354-25번지 외3필지서울특별시 마포구 독막로 56 (합정동)04073파인골프클럽2014-02-20 09:19:36I2018-08-31 23:59:59.0<NA>192810.815484449481.202279골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
73130000CDFH330105199800000219980401<NA>1영업/정상13영업중<NA><NA><NA><NA>3141-0713<NA>121180서울특별시 마포구 당인동 25-20번지서울특별시 마포구 토정로 77 (당인동)04074유니골프클럽2014-01-07 17:28:37I2018-08-31 23:59:59.0<NA>192805.258203449268.387849골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
83130000CDFH330105200000000120000516<NA>3폐업3폐업20140610<NA><NA><NA>715-0753<NA>121805서울특별시 마포구 공덕동 445-2번지서울특별시 마포구 백범로 172 (공덕동)121805그린 스크린골프2014-06-10 11:01:32I2018-08-31 23:59:59.0<NA>195457.520068449110.134713골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
93130000CDFH330105200000000220001121<NA>3폐업3폐업20180207<NA><NA><NA>02-713-0757<NA>121814서울특별시 마포구 도화동 353번지 현대홈타운 상가 지102호서울특별시 마포구 도화4길 73, 지102호 (도화동)04180늘푸른골프연습장2018-02-07 15:29:01I2018-08-31 23:59:59.0<NA>195669.21762448393.658663골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
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