Overview

Dataset statistics

Number of variables34
Number of observations95
Missing cells983
Missing cells (%)30.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.0 KiB
Average record size in memory291.4 B

Variable types

Categorical13
Text6
DateTime3
Unsupported8
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
Author동대문구
URLhttps://data.seoul.go.kr/dataList/OA-19582/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 95 (100.0%) missing valuesMissing
폐업일자 has 43 (45.3%) missing valuesMissing
휴업시작일자 has 95 (100.0%) missing valuesMissing
휴업종료일자 has 95 (100.0%) missing valuesMissing
재개업일자 has 95 (100.0%) missing valuesMissing
전화번호 has 32 (33.7%) missing valuesMissing
소재지면적 has 95 (100.0%) missing valuesMissing
소재지우편번호 has 31 (32.6%) missing valuesMissing
도로명주소 has 3 (3.2%) missing valuesMissing
도로명우편번호 has 50 (52.6%) missing valuesMissing
업태구분명 has 95 (100.0%) missing valuesMissing
좌표정보(X) has 2 (2.1%) missing valuesMissing
좌표정보(Y) has 2 (2.1%) missing valuesMissing
건축물연면적 has 60 (63.2%) missing valuesMissing
세부업종명 has 95 (100.0%) missing valuesMissing
법인명 has 95 (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
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 15 (15.8%) zerosZeros

Reproduction

Analysis started2024-04-06 10:04:48.129645
Analysis finished2024-04-06 10:04:49.086744
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
3050000
95 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3050000
2nd row3050000
3rd row3050000
4th row3050000
5th row3050000

Common Values

ValueCountFrequency (%)
3050000 95
100.0%

Length

2024-04-06T19:04:49.200998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:04:49.363587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3050000 95
100.0%

관리번호
Text

UNIQUE 

Distinct95
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size892.0 B
2024-04-06T19:04:49.735574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1900
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

Unique95 ?
Unique (%)100.0%

Sample

1st rowCDFH3301051990000001
2nd rowCDFH3301051992000001
3rd rowCDFH3301051993000001
4th rowCDFH3301051994000001
5th rowCDFH3301051996000001
ValueCountFrequency (%)
cdfh3301051990000001 1
 
1.1%
cdfh3301052014000003 1
 
1.1%
cdfh3301052012000005 1
 
1.1%
cdfh3301052012000004 1
 
1.1%
cdfh3301052012000002 1
 
1.1%
cdfh3301052012000001 1
 
1.1%
cdfh3301052011000005 1
 
1.1%
cdfh3301052011000004 1
 
1.1%
cdfh3301052011000003 1
 
1.1%
cdfh3301052011000002 1
 
1.1%
Other values (85) 85
89.5%
2024-04-06T19:04:50.307969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 806
42.4%
3 212
 
11.2%
1 178
 
9.4%
2 133
 
7.0%
5 109
 
5.7%
C 95
 
5.0%
D 95
 
5.0%
F 95
 
5.0%
H 95
 
5.0%
9 31
 
1.6%
Other values (4) 51
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1520
80.0%
Uppercase Letter 380
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 806
53.0%
3 212
 
13.9%
1 178
 
11.7%
2 133
 
8.8%
5 109
 
7.2%
9 31
 
2.0%
4 20
 
1.3%
6 12
 
0.8%
8 10
 
0.7%
7 9
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
C 95
25.0%
D 95
25.0%
F 95
25.0%
H 95
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1520
80.0%
Latin 380
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 806
53.0%
3 212
 
13.9%
1 178
 
11.7%
2 133
 
8.8%
5 109
 
7.2%
9 31
 
2.0%
4 20
 
1.3%
6 12
 
0.8%
8 10
 
0.7%
7 9
 
0.6%
Latin
ValueCountFrequency (%)
C 95
25.0%
D 95
25.0%
F 95
25.0%
H 95
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1900
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 806
42.4%
3 212
 
11.2%
1 178
 
9.4%
2 133
 
7.0%
5 109
 
5.7%
C 95
 
5.0%
D 95
 
5.0%
F 95
 
5.0%
H 95
 
5.0%
9 31
 
1.6%
Other values (4) 51
 
2.7%

인허가일자
Date

Distinct92
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size892.0 B
Minimum1990-01-05 00:00:00
Maximum2022-06-15 00:00:00
2024-04-06T19:04:50.634681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:04:50.918549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size892.0 B
3
46 
1
43 
4
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 46
48.4%
1 43
45.3%
4 6
 
6.3%

Length

2024-04-06T19:04:51.164097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:04:51.362834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 46
48.4%
1 43
45.3%
4 6
 
6.3%

영업상태명
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size892.0 B
폐업
46 
영업/정상
43 
취소/말소/만료/정지/중지
6 

Length

Max length14
Median length5
Mean length4.1157895
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 46
48.4%
영업/정상 43
45.3%
취소/말소/만료/정지/중지 6
 
6.3%

Length

2024-04-06T19:04:51.537197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:04:51.697681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 46
48.4%
영업/정상 43
45.3%
취소/말소/만료/정지/중지 6
 
6.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size892.0 B
3
46 
13
43 
35
6 

Length

Max length2
Median length2
Mean length1.5157895
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 46
48.4%
13 43
45.3%
35 6
 
6.3%

Length

2024-04-06T19:04:51.931670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:04:52.129231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 46
48.4%
13 43
45.3%
35 6
 
6.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size892.0 B
폐업
46 
영업중
43 
직권말소
6 

Length

Max length4
Median length3
Mean length2.5789474
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 46
48.4%
영업중 43
45.3%
직권말소 6
 
6.3%

Length

2024-04-06T19:04:52.327469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:04:52.518479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 46
48.4%
영업중 43
45.3%
직권말소 6
 
6.3%

폐업일자
Date

MISSING 

Distinct38
Distinct (%)73.1%
Missing43
Missing (%)45.3%
Memory size892.0 B
Minimum2004-04-01 00:00:00
Maximum2023-11-08 00:00:00
2024-04-06T19:04:52.690178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:04:53.000559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

전화번호
Text

MISSING 

Distinct61
Distinct (%)96.8%
Missing32
Missing (%)33.7%
Memory size892.0 B
2024-04-06T19:04:53.372728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.047619
Min length8

Characters and Unicode

Total characters570
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

Unique59 ?
Unique (%)93.7%

Sample

1st row2244-2148
2nd row929-5422
3rd row2216-3003
4th row2215-3245
5th row964-0770
ValueCountFrequency (%)
2245-2352 2
 
3.2%
2247-0472 2
 
3.2%
02-2217-0787 1
 
1.6%
962-0753 1
 
1.6%
02-967-7006 1
 
1.6%
2216-0010 1
 
1.6%
960-1127 1
 
1.6%
031-321-3985 1
 
1.6%
925-8089 1
 
1.6%
2245-9000 1
 
1.6%
Other values (51) 51
81.0%
2024-04-06T19:04:53.908185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 104
18.2%
- 72
12.6%
0 68
11.9%
9 53
9.3%
4 51
8.9%
7 46
8.1%
5 43
7.5%
3 38
 
6.7%
1 37
 
6.5%
8 32
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 498
87.4%
Dash Punctuation 72
 
12.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 104
20.9%
0 68
13.7%
9 53
10.6%
4 51
10.2%
7 46
9.2%
5 43
8.6%
3 38
 
7.6%
1 37
 
7.4%
8 32
 
6.4%
6 26
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 104
18.2%
- 72
12.6%
0 68
11.9%
9 53
9.3%
4 51
8.9%
7 46
8.1%
5 43
7.5%
3 38
 
6.7%
1 37
 
6.5%
8 32
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 104
18.2%
- 72
12.6%
0 68
11.9%
9 53
9.3%
4 51
8.9%
7 46
8.1%
5 43
7.5%
3 38
 
6.7%
1 37
 
6.5%
8 32
 
5.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

소재지우편번호
Text

MISSING 

Distinct39
Distinct (%)60.9%
Missing31
Missing (%)32.6%
Memory size892.0 B
2024-04-06T19:04:54.242331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.046875
Min length6

Characters and Unicode

Total characters387
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

Unique24 ?
Unique (%)37.5%

Sample

1st row130844
2nd row130820
3rd row130876
4th row130802
5th row130866
ValueCountFrequency (%)
130867 6
 
9.4%
130840 4
 
6.2%
130836 4
 
6.2%
130876 3
 
4.7%
130805 3
 
4.7%
130841 2
 
3.1%
130844 2
 
3.1%
130872 2
 
3.1%
130817 2
 
3.1%
130842 2
 
3.1%
Other values (29) 34
53.1%
2024-04-06T19:04:54.791431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 84
21.7%
1 78
20.2%
3 77
19.9%
8 62
16.0%
7 23
 
5.9%
6 19
 
4.9%
4 19
 
4.9%
2 14
 
3.6%
5 5
 
1.3%
9 3
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 384
99.2%
Dash Punctuation 3
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 84
21.9%
1 78
20.3%
3 77
20.1%
8 62
16.1%
7 23
 
6.0%
6 19
 
4.9%
4 19
 
4.9%
2 14
 
3.6%
5 5
 
1.3%
9 3
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 387
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 84
21.7%
1 78
20.2%
3 77
19.9%
8 62
16.0%
7 23
 
5.9%
6 19
 
4.9%
4 19
 
4.9%
2 14
 
3.6%
5 5
 
1.3%
9 3
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 387
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 84
21.7%
1 78
20.2%
3 77
19.9%
8 62
16.0%
7 23
 
5.9%
6 19
 
4.9%
4 19
 
4.9%
2 14
 
3.6%
5 5
 
1.3%
9 3
 
0.8%

지번주소
Text

Distinct90
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size892.0 B
2024-04-06T19:04:55.365454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length34
Mean length26.389474
Min length15

Characters and Unicode

Total characters2507
Distinct characters109
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

Unique85 ?
Unique (%)89.5%

Sample

1st row서울특별시 동대문구 장안동 432-1번지
2nd row서울특별시 동대문구 용두동 119-1번지 (지하1층)
3rd row서울특별시 동대문구 휘경동 267-110번지
4th row서울특별시 동대문구 답십리동 268-1번지
5th row서울특별시 동대문구 청량리동 36-2번지 (2층)
ValueCountFrequency (%)
서울특별시 95
20.3%
동대문구 95
20.3%
장안동 31
 
6.6%
용두동 13
 
2.8%
답십리동 12
 
2.6%
휘경동 10
 
2.1%
지하 7
 
1.5%
청량리동 7
 
1.5%
지하1층 7
 
1.5%
전농동 7
 
1.5%
Other values (140) 185
39.4%
2024-04-06T19:04:56.200750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
454
18.1%
동 196
 
7.8%
대 100
 
4.0%
문 99
 
3.9%
서 95
 
3.8%
울 95
 
3.8%
특 95
 
3.8%
별 95
 
3.8%
시 95
 
3.8%
구 95
 
3.8%
Other values (99) 1088
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1514
60.4%
Space Separator 454
 
18.1%
Decimal Number 418
 
16.7%
Dash Punctuation 76
 
3.0%
Uppercase Letter 16
 
0.6%
Close Punctuation 11
 
0.4%
Open Punctuation 11
 
0.4%
Other Punctuation 5
 
0.2%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 196
12.9%
대 100
 
6.6%
문 99
 
6.5%
서 95
 
6.3%
울 95
 
6.3%
특 95
 
6.3%
별 95
 
6.3%
시 95
 
6.3%
구 95
 
6.3%
지 79
 
5.2%
Other values (79) 470
31.0%
Decimal Number
ValueCountFrequency (%)
1 88
21.1%
3 62
14.8%
2 59
14.1%
6 38
9.1%
7 34
 
8.1%
4 34
 
8.1%
0 33
 
7.9%
5 28
 
6.7%
9 23
 
5.5%
8 19
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
K 6
37.5%
S 6
37.5%
B 3
18.8%
A 1
 
6.2%
Space Separator
ValueCountFrequency (%)
454
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1514
60.4%
Common 977
39.0%
Latin 16
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 196
12.9%
대 100
 
6.6%
문 99
 
6.5%
서 95
 
6.3%
울 95
 
6.3%
특 95
 
6.3%
별 95
 
6.3%
시 95
 
6.3%
구 95
 
6.3%
지 79
 
5.2%
Other values (79) 470
31.0%
Common
ValueCountFrequency (%)
454
46.5%
1 88
 
9.0%
- 76
 
7.8%
3 62
 
6.3%
2 59
 
6.0%
6 38
 
3.9%
7 34
 
3.5%
4 34
 
3.5%
0 33
 
3.4%
5 28
 
2.9%
Other values (6) 71
 
7.3%
Latin
ValueCountFrequency (%)
K 6
37.5%
S 6
37.5%
B 3
18.8%
A 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1514
60.4%
ASCII 993
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
454
45.7%
1 88
 
8.9%
- 76
 
7.7%
3 62
 
6.2%
2 59
 
5.9%
6 38
 
3.8%
7 34
 
3.4%
4 34
 
3.4%
0 33
 
3.3%
5 28
 
2.8%
Other values (10) 87
 
8.8%
Hangul
ValueCountFrequency (%)
동 196
12.9%
대 100
 
6.6%
문 99
 
6.5%
서 95
 
6.3%
울 95
 
6.3%
특 95
 
6.3%
별 95
 
6.3%
시 95
 
6.3%
구 95
 
6.3%
지 79
 
5.2%
Other values (79) 470
31.0%

도로명주소
Text

MISSING 

Distinct90
Distinct (%)97.8%
Missing3
Missing (%)3.2%
Memory size892.0 B
2024-04-06T19:04:56.645355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length43.5
Mean length31.521739
Min length23

Characters and Unicode

Total characters2900
Distinct characters125
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

Unique88 ?
Unique (%)95.7%

Sample

1st row서울특별시 동대문구 장한로 17 (장안동)
2nd row서울특별시 동대문구 왕산로 68 (용두동,(지하1층))
3rd row서울특별시 동대문구 망우로16길 20 (휘경동)
4th row서울특별시 동대문구 전농로3길 20 (답십리동)
5th row서울특별시 동대문구 제기로 152-2 (청량리동,(2층))
ValueCountFrequency (%)
서울특별시 92
 
16.9%
동대문구 92
 
16.9%
장안동 20
 
3.7%
지하1층 15
 
2.8%
답십리로 10
 
1.8%
답십리동 9
 
1.7%
휘경동 9
 
1.7%
용두동 9
 
1.7%
왕산로 9
 
1.7%
장한로 8
 
1.5%
Other values (182) 270
49.7%
2024-04-06T19:04:57.385775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
472
 
16.3%
동 193
 
6.7%
대 106
 
3.7%
문 102
 
3.5%
) 101
 
3.5%
( 101
 
3.5%
시 95
 
3.3%
서 93
 
3.2%
울 93
 
3.2%
특 92
 
3.2%
Other values (115) 1452
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1749
60.3%
Space Separator 472
 
16.3%
Decimal Number 369
 
12.7%
Close Punctuation 101
 
3.5%
Open Punctuation 101
 
3.5%
Other Punctuation 81
 
2.8%
Uppercase Letter 18
 
0.6%
Dash Punctuation 6
 
0.2%
Math Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 193
 
11.0%
대 106
 
6.1%
문 102
 
5.8%
시 95
 
5.4%
서 93
 
5.3%
울 93
 
5.3%
특 92
 
5.3%
별 92
 
5.3%
구 92
 
5.3%
로 92
 
5.3%
Other values (93) 699
40.0%
Decimal Number
ValueCountFrequency (%)
1 92
24.9%
2 67
18.2%
0 38
10.3%
3 36
 
9.8%
4 32
 
8.7%
8 28
 
7.6%
5 27
 
7.3%
9 19
 
5.1%
6 18
 
4.9%
7 12
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
K 6
33.3%
S 6
33.3%
B 3
16.7%
M 1
 
5.6%
A 1
 
5.6%
J 1
 
5.6%
Space Separator
ValueCountFrequency (%)
472
100.0%
Close Punctuation
ValueCountFrequency (%)
) 101
100.0%
Open Punctuation
ValueCountFrequency (%)
( 101
100.0%
Other Punctuation
ValueCountFrequency (%)
, 81
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1749
60.3%
Common 1133
39.1%
Latin 18
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 193
 
11.0%
대 106
 
6.1%
문 102
 
5.8%
시 95
 
5.4%
서 93
 
5.3%
울 93
 
5.3%
특 92
 
5.3%
별 92
 
5.3%
구 92
 
5.3%
로 92
 
5.3%
Other values (93) 699
40.0%
Common
ValueCountFrequency (%)
472
41.7%
) 101
 
8.9%
( 101
 
8.9%
1 92
 
8.1%
, 81
 
7.1%
2 67
 
5.9%
0 38
 
3.4%
3 36
 
3.2%
4 32
 
2.8%
8 28
 
2.5%
Other values (6) 85
 
7.5%
Latin
ValueCountFrequency (%)
K 6
33.3%
S 6
33.3%
B 3
16.7%
M 1
 
5.6%
A 1
 
5.6%
J 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1749
60.3%
ASCII 1151
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
472
41.0%
) 101
 
8.8%
( 101
 
8.8%
1 92
 
8.0%
, 81
 
7.0%
2 67
 
5.8%
0 38
 
3.3%
3 36
 
3.1%
4 32
 
2.8%
8 28
 
2.4%
Other values (12) 103
 
8.9%
Hangul
ValueCountFrequency (%)
동 193
 
11.0%
대 106
 
6.1%
문 102
 
5.8%
시 95
 
5.4%
서 93
 
5.3%
울 93
 
5.3%
특 92
 
5.3%
별 92
 
5.3%
구 92
 
5.3%
로 92
 
5.3%
Other values (93) 699
40.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)75.6%
Missing50
Missing (%)52.6%
Infinite0
Infinite (%)0.0%
Mean5404.6222
Minimum2436
Maximum130797
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2024-04-06T19:04:57.634473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2436
5-th percentile2439.2
Q12516
median2566
Q32623
95-th percentile2638.8
Maximum130797
Range128361
Interquartile range (IQR)107

Descriptive statistics

Standard deviation19117.329
Coefficient of variation (CV)3.5372184
Kurtosis44.99889
Mean5404.6222
Median Absolute Deviation (MAD)55
Skewness6.7080825
Sum243208
Variance3.6547228 × 108
MonotonicityNot monotonic
2024-04-06T19:04:57.849580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
2624 3
 
3.2%
2532 3
 
3.2%
2436 2
 
2.1%
2579 2
 
2.1%
2566 2
 
2.1%
2582 2
 
2.1%
2560 2
 
2.1%
2638 2
 
2.1%
2639 2
 
2.1%
2541 1
 
1.1%
Other values (24) 24
25.3%
(Missing) 50
52.6%
ValueCountFrequency (%)
2436 2
2.1%
2439 1
1.1%
2440 1
1.1%
2445 1
1.1%
2446 1
1.1%
2461 1
1.1%
2479 1
1.1%
2494 1
1.1%
2509 1
1.1%
2511 1
1.1%
ValueCountFrequency (%)
130797 1
 
1.1%
2639 2
2.1%
2638 2
2.1%
2637 1
 
1.1%
2631 1
 
1.1%
2625 1
 
1.1%
2624 3
3.2%
2623 1
 
1.1%
2617 1
 
1.1%
2610 1
 
1.1%

사업장명
Text

Distinct91
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size892.0 B
2024-04-06T19:04:58.320840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length7.7684211
Min length3

Characters and Unicode

Total characters738
Distinct characters158
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

Unique88 ?
Unique (%)92.6%

Sample

1st row장안골프연습장
2nd row환타지아골프스쿨
3rd row필드로 골프연습장
4th row크린골프연습장
5th row한마음골프스쿨
ValueCountFrequency (%)
골프 5
 
4.0%
골프연습장 4
 
3.2%
엠제이골프 3
 
2.4%
골프존 3
 
2.4%
스크린 3
 
2.4%
스크린골프 3
 
2.4%
월드골프 2
 
1.6%
골프존파크 2
 
1.6%
장안점 2
 
1.6%
크린골프연습장 2
 
1.6%
Other values (97) 97
77.0%
2024-04-06T19:04:59.083711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
프 87
 
11.8%
골 86
 
11.7%
스 65
 
8.8%
크 43
 
5.8%
린 36
 
4.9%
31
 
4.2%
장 24
 
3.3%
연 19
 
2.6%
습 19
 
2.6%
이 12
 
1.6%
Other values (148) 316
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 665
90.1%
Space Separator 31
 
4.2%
Uppercase Letter 22
 
3.0%
Close Punctuation 5
 
0.7%
Lowercase Letter 5
 
0.7%
Open Punctuation 4
 
0.5%
Decimal Number 4
 
0.5%
Other Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
프 87
 
13.1%
골 86
 
12.9%
스 65
 
9.8%
크 43
 
6.5%
린 36
 
5.4%
장 24
 
3.6%
연 19
 
2.9%
습 19
 
2.9%
이 12
 
1.8%
존 9
 
1.4%
Other values (123) 265
39.8%
Uppercase Letter
ValueCountFrequency (%)
E 4
18.2%
J 3
13.6%
S 3
13.6%
G 2
9.1%
X 2
9.1%
K 2
9.1%
W 1
 
4.5%
D 1
 
4.5%
P 1
 
4.5%
O 1
 
4.5%
Other values (2) 2
9.1%
Lowercase Letter
ValueCountFrequency (%)
o 1
20.0%
r 1
20.0%
k 1
20.0%
c 1
20.0%
a 1
20.0%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
4 1
25.0%
7 1
25.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 665
90.1%
Common 46
 
6.2%
Latin 27
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
프 87
 
13.1%
골 86
 
12.9%
스 65
 
9.8%
크 43
 
6.5%
린 36
 
5.4%
장 24
 
3.6%
연 19
 
2.9%
습 19
 
2.9%
이 12
 
1.8%
존 9
 
1.4%
Other values (123) 265
39.8%
Latin
ValueCountFrequency (%)
E 4
14.8%
J 3
11.1%
S 3
11.1%
G 2
 
7.4%
X 2
 
7.4%
K 2
 
7.4%
W 1
 
3.7%
D 1
 
3.7%
o 1
 
3.7%
r 1
 
3.7%
Other values (7) 7
25.9%
Common
ValueCountFrequency (%)
31
67.4%
) 5
 
10.9%
( 4
 
8.7%
2 2
 
4.3%
& 1
 
2.2%
4 1
 
2.2%
- 1
 
2.2%
7 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 665
90.1%
ASCII 73
 
9.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
프 87
 
13.1%
골 86
 
12.9%
스 65
 
9.8%
크 43
 
6.5%
린 36
 
5.4%
장 24
 
3.6%
연 19
 
2.9%
습 19
 
2.9%
이 12
 
1.8%
존 9
 
1.4%
Other values (123) 265
39.8%
ASCII
ValueCountFrequency (%)
31
42.5%
) 5
 
6.8%
E 4
 
5.5%
( 4
 
5.5%
J 3
 
4.1%
S 3
 
4.1%
G 2
 
2.7%
2 2
 
2.7%
X 2
 
2.7%
K 2
 
2.7%
Other values (15) 15
20.5%

최종수정일자
Date

UNIQUE 

Distinct95
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size892.0 B
Minimum2003-07-31 09:47:05
Maximum2024-02-26 17:40:16
2024-04-06T19:04:59.341007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:05:00.145281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
U
48 
I
47 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 48
50.5%
I 47
49.5%

Length

2024-04-06T19:05:00.422382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:05:00.631644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 48
50.5%
i 47
49.5%

데이터갱신일자
Categorical

Distinct40
Distinct (%)42.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
2018-08-31 23:59:59.0
35 
2021-10-23 02:40:00.0
10 
2020-05-24 02:40:00.0
6 
2018-12-29 02:40:00.0
6 
2019-07-25 02:40:00.0
 
2
Other values (35)
36 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique34 ?
Unique (%)35.8%

Sample

1st row2019-07-25 02:40:00.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-12-20 02:40:00.0
5th row2020-05-24 02:40:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 35
36.8%
2021-10-23 02:40:00.0 10
 
10.5%
2020-05-24 02:40:00.0 6
 
6.3%
2018-12-29 02:40:00.0 6
 
6.3%
2019-07-25 02:40:00.0 2
 
2.1%
2019-05-10 02:40:00.0 2
 
2.1%
2020-01-19 02:40:00.0 1
 
1.1%
2018-12-20 02:40:00.0 1
 
1.1%
2019-11-14 02:40:00.0 1
 
1.1%
2022-12-02 23:07:00.0 1
 
1.1%
Other values (30) 30
31.6%

Length

2024-04-06T19:05:00.913251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
02:40:00.0 38
20.0%
2018-08-31 35
18.4%
23:59:59.0 35
18.4%
2021-10-23 10
 
5.3%
2020-05-24 7
 
3.7%
2018-12-29 6
 
3.2%
2022-12-02 2
 
1.1%
00:22:53.0 2
 
1.1%
21:00:00.0 2
 
1.1%
2022-11-01 2
 
1.1%
Other values (46) 51
26.8%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct76
Distinct (%)81.7%
Missing2
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean204861.12
Minimum202023.92
Maximum206637.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2024-04-06T19:05:01.119407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202023.92
5-th percentile202257.99
Q1204082.11
median205271.7
Q3205950.27
95-th percentile206454.43
Maximum206637.16
Range4613.2425
Interquartile range (IQR)1868.1566

Descriptive statistics

Standard deviation1313.8646
Coefficient of variation (CV)0.0064134405
Kurtosis-0.54880963
Mean204861.12
Median Absolute Deviation (MAD)821.47888
Skewness-0.75573034
Sum19052085
Variance1726240.2
MonotonicityNot monotonic
2024-04-06T19:05:01.492395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205271.704936121 6
 
6.3%
205545.047322182 3
 
3.2%
203360.831597984 3
 
3.2%
204855.056489622 2
 
2.1%
204089.817117361 2
 
2.1%
205991.257881414 2
 
2.1%
205650.039133092 2
 
2.1%
206521.405320134 2
 
2.1%
202257.985695221 2
 
2.1%
202023.921749857 2
 
2.1%
Other values (66) 67
70.5%
ValueCountFrequency (%)
202023.921749857 2
2.1%
202093.908184725 1
1.1%
202128.460068469 1
1.1%
202257.985695221 2
2.1%
202409.27252037 1
1.1%
202418.483876243 1
1.1%
202522.987390464 1
1.1%
202670.049271259 2
2.1%
202672.572284882 1
1.1%
203188.427527295 1
1.1%
ValueCountFrequency (%)
206637.16421148 1
1.1%
206543.156690365 1
1.1%
206524.120752695 1
1.1%
206521.405320134 2
2.1%
206409.77293495 1
1.1%
206401.188819875 1
1.1%
206341.538776724 1
1.1%
206325.349431713 1
1.1%
206176.178625746 1
1.1%
206150.689570423 1
1.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct76
Distinct (%)81.7%
Missing2
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean452774.18
Minimum451065.32
Maximum455584.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2024-04-06T19:05:01.808052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451065.32
5-th percentile451602.56
Q1452184.21
median452619.63
Q3453314.14
95-th percentile454385.94
Maximum455584.87
Range4519.5507
Interquartile range (IQR)1129.9255

Descriptive statistics

Standard deviation935.93065
Coefficient of variation (CV)0.0020671026
Kurtosis0.050793131
Mean452774.18
Median Absolute Deviation (MAD)590.28743
Skewness0.69974878
Sum42107998
Variance875966.19
MonotonicityNot monotonic
2024-04-06T19:05:02.022204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452706.897879436 6
 
6.3%
452387.185701411 3
 
3.2%
452785.12119758 3
 
3.2%
454149.049376394 2
 
2.1%
453314.135663101 2
 
2.1%
452204.899566785 2
 
2.1%
452050.921389104 2
 
2.1%
451940.119059947 2
 
2.1%
452478.339896363 2
 
2.1%
452387.764894439 2
 
2.1%
Other values (66) 67
70.5%
ValueCountFrequency (%)
451065.321633611 1
1.1%
451126.481053284 1
1.1%
451186.96485389 1
1.1%
451425.917121025 1
1.1%
451518.494316754 1
1.1%
451658.599882446 1
1.1%
451663.846500851 1
1.1%
451706.003571094 1
1.1%
451761.659631695 1
1.1%
451803.558407339 1
1.1%
ValueCountFrequency (%)
455584.872318917 1
1.1%
454935.013985935 1
1.1%
454684.271383055 1
1.1%
454656.600230167 1
1.1%
454386.986107641 1
1.1%
454385.24391159 1
1.1%
454345.222348639 1
1.1%
454298.230422924 1
1.1%
454287.507031374 1
1.1%
454216.9715514 1
1.1%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
골프연습장업
84 
<NA>
11 

Length

Max length6
Median length6
Mean length5.7684211
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
골프연습장업 84
88.4%
<NA> 11
 
11.6%

Length

2024-04-06T19:05:02.251155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:05:02.459688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
골프연습장업 84
88.4%
na 11
 
11.6%

공사립구분명
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
사립
84 
<NA>
11 

Length

Max length4
Median length2
Mean length2.2315789
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 84
88.4%
<NA> 11
 
11.6%

Length

2024-04-06T19:05:02.684237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:05:02.880079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 84
88.4%
na 11
 
11.6%

보험가입여부코드
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size892.0 B
<NA>
68 
Y
16 
0
11 

Length

Max length4
Median length4
Mean length3.1473684
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 68
71.6%
Y 16
 
16.8%
0 11
 
11.6%

Length

2024-04-06T19:05:03.048219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:05:03.237452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 68
71.6%
y 16
 
16.8%
0 11
 
11.6%

지도자수
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size892.0 B
<NA>
74 
0
16 
1
 
5

Length

Max length4
Median length4
Mean length3.3368421
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> 74
77.9%
0 16
 
16.8%
1 5
 
5.3%

Length

2024-04-06T19:05:03.439877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:05:03.604781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 74
77.9%
0 16
 
16.8%
1 5
 
5.3%

건축물동수
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size892.0 B
<NA>
72 
0
16 
1
 
7

Length

Max length4
Median length4
Mean length3.2736842
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> 72
75.8%
0 16
 
16.8%
1 7
 
7.4%

Length

2024-04-06T19:05:03.795540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:05:04.009383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
75.8%
0 16
 
16.8%
1 7
 
7.4%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)60.0%
Missing60
Missing (%)63.2%
Infinite0
Infinite (%)0.0%
Mean7706.7357
Minimum0
Maximum115497.15
Zeros15
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size987.0 B
2024-04-06T19:05:04.168670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1374.25
Q35406.96
95-th percentile27128.932
Maximum115497.15
Range115497.15
Interquartile range (IQR)5406.96

Descriptive statistics

Standard deviation20501.521
Coefficient of variation (CV)2.6602082
Kurtosis23.791713
Mean7706.7357
Median Absolute Deviation (MAD)1374.25
Skewness4.6463544
Sum269735.75
Variance4.2031238 × 108
MonotonicityNot monotonic
2024-04-06T19:05:04.367606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 15
 
15.8%
1572.67 1
 
1.1%
12122.56 1
 
1.1%
8223.27 1
 
1.1%
4137.61 1
 
1.1%
21289.0 1
 
1.1%
3139.0 1
 
1.1%
40755.44 1
 
1.1%
3788.05 1
 
1.1%
6676.31 1
 
1.1%
Other values (11) 11
 
11.6%
(Missing) 60
63.2%
ValueCountFrequency (%)
0.0 15
15.8%
693.28 1
 
1.1%
708.6 1
 
1.1%
1374.25 1
 
1.1%
1531.0 1
 
1.1%
1572.67 1
 
1.1%
1759.14 1
 
1.1%
2896.32 1
 
1.1%
3139.0 1
 
1.1%
3360.42 1
 
1.1%
ValueCountFrequency (%)
115497.15 1
1.1%
40755.44 1
1.1%
21289.0 1
1.1%
17882.76 1
1.1%
13953.92 1
1.1%
12122.56 1
1.1%
8375.0 1
1.1%
8223.27 1
1.1%
6676.31 1
1.1%
4137.61 1
1.1%

회원모집총인원
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
<NA>
78 
0
17 

Length

Max length4
Median length4
Mean length3.4631579
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> 78
82.1%
0 17
 
17.9%

Length

2024-04-06T19:05:04.576098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:05:04.728024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 78
82.1%
0 17
 
17.9%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03050000CDFH330105199000000119900105<NA>3폐업3폐업20190430<NA><NA><NA>2244-2148<NA>130844서울특별시 동대문구 장안동 432-1번지서울특별시 동대문구 장한로 17 (장안동)<NA>장안골프연습장2019-07-23 18:33:56U2019-07-25 02:40:00.0<NA>205690.272241451186.964854골프연습장업사립Y<NA><NA><NA><NA><NA><NA>
13050000CDFH330105199200000119921201<NA>3폐업3폐업20121106<NA><NA><NA>929-5422<NA>130820서울특별시 동대문구 용두동 119-1번지 (지하1층)서울특별시 동대문구 왕산로 68 (용두동,(지하1층))<NA>환타지아골프스쿨2012-11-06 14:35:35I2018-08-31 23:59:59.0<NA>202672.572285452819.875924골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
23050000CDFH330105199300000119930308<NA>1영업/정상13영업중<NA><NA><NA><NA>2216-3003<NA>130876서울특별시 동대문구 휘경동 267-110번지서울특별시 동대문구 망우로16길 20 (휘경동)<NA>필드로 골프연습장2017-04-27 10:50:23I2018-08-31 23:59:59.0<NA>205319.294449454114.949325골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
33050000CDFH330105199400000119940208<NA>3폐업3폐업20181218<NA><NA><NA>2215-3245<NA>130802서울특별시 동대문구 답십리동 268-1번지서울특별시 동대문구 전농로3길 20 (답십리동)<NA>크린골프연습장2018-12-18 17:56:29U2018-12-20 02:40:00.0<NA>204913.895133451846.732172골프연습장업사립Y<NA><NA><NA><NA><NA><NA>
43050000CDFH330105199600000119960520<NA>4취소/말소/만료/정지/중지35직권말소20200522<NA><NA><NA>964-0770<NA>130866서울특별시 동대문구 청량리동 36-2번지 (2층)서울특별시 동대문구 제기로 152-2 (청량리동,(2층))<NA>한마음골프스쿨2020-05-22 13:15:10U2020-05-24 02:40:00.0<NA>204347.640168453730.783754골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
53050000CDFH330105199700000119970306<NA>3폐업3폐업20181227<NA><NA><NA>924-1313<NA>130821서울특별시 동대문구 용두동 129-36번지서울특별시 동대문구 무학로 88 (용두동)<NA>한독스포렉스2018-12-27 16:08:38U2019-05-10 02:40:00.0<NA>202670.049271452196.571007골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
63050000CDFH330105199700000219970708<NA>1영업/정상13영업중<NA><NA><NA><NA>2214-5200<NA>130808서울특별시 동대문구 답십리동 산 2-9번지서울특별시 동대문구 답십리로 209 (답십리동)<NA>동대문힐스포파크2003-07-31 09:47:05I2018-08-31 23:59:59.0<NA>205545.047322452387.185701골프연습장업사립0<NA><NA><NA><NA><NA><NA>
73050000CDFH330105199800000119980220<NA>3폐업3폐업20111228<NA><NA><NA>2231-7781<NA>130814서울특별시 동대문구 신설동 117-6번지서울특별시 동대문구 난계로 250 (신설동)<NA>경해실업(주)골프연습장2011-12-29 13:35:01I2018-08-31 23:59:59.0<NA>202023.92175452387.764894골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
83050000CDFH330105200000000120000215<NA>4취소/말소/만료/정지/중지35직권말소20200522<NA><NA><NA>959-5551<NA>130867서울특별시 동대문구 청량리동 235-2번지 지하2층서울특별시 동대문구 약령시로 158 (청량리동,지하2층)<NA>청량리골프아카데미2020-05-22 13:14:28U2020-05-24 02:40:00.0<NA>204076.673966453363.590072골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
93050000CDFH330105200100000120010831<NA>3폐업3폐업20050203<NA><NA><NA>3394-9293<NA>130848서울특별시 동대문구 전농동 10번지 SK상가 B102서울특별시 동대문구 사가정로 148 (전농동,SK상가 B102)<NA>SK골프스쿨2005-02-04 17:03:29I2018-08-31 23:59:59.0<NA>205271.704936452706.897879골프연습장업사립0<NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
853050000CDFH330105202100000320210629<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 휘경동 42-23서울특별시 동대문구 망우로 101, 지하1층 (휘경동)2436ED골프스튜디오2021-06-29 14:49:25I2021-07-01 00:22:53.0<NA>205617.104388454298.230423골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
863050000CDFH330105202100000420210715<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 용두동 788 한방천하 용두동 포스빌서울특별시 동대문구 왕산로 122, 한방천하 용두동 포스빌 지하2층 (용두동)2566포스빌골프2021-07-15 10:01:12I2021-07-17 00:22:52.0<NA>203188.427527452835.044819골프연습장업사립<NA>000.00<NA><NA>
873050000CDFH330105202100000520210719<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 336 장안현대홈타운서울특별시 동대문구 장안벚꽃로 107, 제상가1동 지하1층 지3-4호 (장안동, 장안현대홈타운)2638지디알골프2021-07-19 17:29:04I2021-07-21 00:22:53.0<NA>206521.40532451940.11906골프연습장업사립<NA>000.00<NA><NA>
883050000CDFH330105202100000620210916<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 336 장안현대홈타운서울특별시 동대문구 장안벚꽃로 107, 장안현대홈타운 제상가1동 지하1층 1,2호 (장안동, 장안현대홈타운)2638마스크오브미라클2021-09-16 19:00:14I2021-09-18 00:22:49.0<NA>206521.40532451940.11906골프연습장업사립<NA>000.00<NA><NA>
893050000CDFH330105202100000720211117<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 회기동 67-3서울특별시 동대문구 이문로 3, 민족통일MJ캠퍼스경희대 5층 501호 (회기동)2461엠제이골프2021-11-17 16:39:56I2021-11-19 00:22:44.0<NA>204670.577138454039.982782골프연습장업사립<NA>000.00<NA><NA>
903050000CDFH33010520210000082021-12-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 휘경동 71-1서울특별시 동대문구 망우로 123, 휘경메디컬프라자 지하1층 (휘경동)2436JW골프아카데미2023-03-31 17:13:58U2022-12-04 00:02:00.0<NA>205803.075064454386.986108<NA><NA><NA><NA><NA><NA><NA><NA><NA>
913050000CDFH330105202200000120220315<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 용두동 233-24 디그빌딩서울특별시 동대문구 왕산로 43, 디그빌딩 4,5층 (용두동)2579크로우골프2022-03-15 10:33:13I2022-03-17 00:22:35.0<NA>202418.483876452785.069356골프연습장업사립<NA>000.00<NA><NA>
923050000CDFH330105202200000220220317<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 전농동 10 전농 SK아파트서울특별시 동대문구 사가정로 148, 141동 지하1층 101호 (전농동, 전농 SK아파트)2532전농골프아카데미2022-03-17 17:17:40I2022-03-19 00:22:35.0<NA>205271.704936452706.897879골프연습장업사립<NA>000.00<NA><NA>
933050000CDFH330105202200000320220428<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 제기동 615-1 민족통일빌서울특별시 동대문구 홍릉로3길 55, 지하1층 (제기동, 민족통일빌)2572엠제이골프2022-04-28 17:54:52I2021-12-03 21:00:00.0<NA>203597.78569453260.543917<NA><NA><NA><NA><NA><NA><NA><NA><NA>
943050000CDFH330105202200000420220615<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 이문동 325-20 민족통일 대통령 리빙텔서울특별시 동대문구 이문로 86, 민족통일 대통령 리빙텔 지하1층 (이문동)2440엠제이골프2022-06-15 08:49:00I2021-12-05 23:08:00.0<NA>205168.470916454684.271383<NA><NA><NA><NA><NA><NA><NA><NA><NA>