Overview

Dataset statistics

Number of variables11
Number of observations56
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.1 KiB
Average record size in memory92.4 B

Variable types

Text6
Numeric2
DateTime3

Dataset

Description경상남도 거창군 관내 부동산중개업소에 대한 데이터로 등록번호, 중개업소명, 중개업자명, 전화번호, 소재지도로명주소, 소재지지번주소, 경도, 위도, 업무보증기간시작, 업무보증기간만료를 제공합니다.
Author경상남도 거창군
URLhttps://www.data.go.kr/data/15006057/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
등록번호 has unique valuesUnique
중개업소명 has unique valuesUnique
중개업자명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:11:18.420483
Analysis finished2023-12-12 21:11:19.747565
Duration1.33 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-13T06:11:19.907650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length13.482143
Min length9

Characters and Unicode

Total characters755
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)100.0%

Sample

1st row48880-2015-00001
2nd row48880-2015-00002
3rd row48880-2015-00003
4th row48880-2015-00005
5th row48880-2015-00006
ValueCountFrequency (%)
48880-2015-00001 1
 
1.8%
48880-2015-00002 1
 
1.8%
가-4354-46 1
 
1.8%
48880-2022-00004 1
 
1.8%
48880-2023-00001 1
 
1.8%
48880-2023-00002 1
 
1.8%
48880-2023-00003 1
 
1.8%
48880-2023-00004 1
 
1.8%
가-4354-103 1
 
1.8%
가-4354-104 1
 
1.8%
Other values (46) 46
82.1%
2023-12-13T06:11:20.456657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 222
29.4%
8 118
15.6%
- 112
14.8%
4 87
 
11.5%
2 61
 
8.1%
1 38
 
5.0%
5 33
 
4.4%
3 32
 
4.2%
가 20
 
2.6%
7 17
 
2.3%
Other values (3) 15
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 622
82.4%
Dash Punctuation 112
 
14.8%
Other Letter 21
 
2.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 222
35.7%
8 118
19.0%
4 87
 
14.0%
2 61
 
9.8%
1 38
 
6.1%
5 33
 
5.3%
3 32
 
5.1%
7 17
 
2.7%
6 8
 
1.3%
9 6
 
1.0%
Other Letter
ValueCountFrequency (%)
가 20
95.2%
나 1
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 734
97.2%
Hangul 21
 
2.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 222
30.2%
8 118
16.1%
- 112
15.3%
4 87
 
11.9%
2 61
 
8.3%
1 38
 
5.2%
5 33
 
4.5%
3 32
 
4.4%
7 17
 
2.3%
6 8
 
1.1%
Hangul
ValueCountFrequency (%)
가 20
95.2%
나 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 734
97.2%
Hangul 21
 
2.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 222
30.2%
8 118
16.1%
- 112
15.3%
4 87
 
11.9%
2 61
 
8.3%
1 38
 
5.2%
5 33
 
4.5%
3 32
 
4.4%
7 17
 
2.3%
6 8
 
1.1%
Hangul
ValueCountFrequency (%)
가 20
95.2%
나 1
 
4.8%

중개업소명
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-13T06:11:20.695516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length11.25
Min length9

Characters and Unicode

Total characters630
Distinct characters89
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)100.0%

Sample

1st row태영공인중개사사무소
2nd row스타공인중개사사무소
3rd row대림공인중개사사무소
4th row가나공인중개사사무소
5th row대경부동산중개사무소
ValueCountFrequency (%)
사무소 9
 
13.6%
태영공인중개사사무소 1
 
1.5%
중앙공인중개사 1
 
1.5%
대동공인중개사사무소 1
 
1.5%
베델공인중개사사무소 1
 
1.5%
바른부동산중개사무소 1
 
1.5%
도형부동산공인중개사무소 1
 
1.5%
엘림공인중개사사무소 1
 
1.5%
가조공인중개사사무소 1
 
1.5%
개발공인중개사 1
 
1.5%
Other values (48) 48
72.7%
2023-12-13T06:11:21.102959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 99
15.7%
중 57
 
9.0%
개 57
 
9.0%
무 55
 
8.7%
소 55
 
8.7%
인 49
 
7.8%
공 47
 
7.5%
산 21
 
3.3%
부 20
 
3.2%
동 20
 
3.2%
Other values (79) 150
23.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 619
98.3%
Space Separator 10
 
1.6%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 99
16.0%
중 57
9.2%
개 57
9.2%
무 55
 
8.9%
소 55
 
8.9%
인 49
 
7.9%
공 47
 
7.6%
산 21
 
3.4%
부 20
 
3.2%
동 20
 
3.2%
Other values (77) 139
22.5%
Space Separator
ValueCountFrequency (%)
10
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 619
98.3%
Common 11
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 99
16.0%
중 57
9.2%
개 57
9.2%
무 55
 
8.9%
소 55
 
8.9%
인 49
 
7.9%
공 47
 
7.6%
산 21
 
3.4%
부 20
 
3.2%
동 20
 
3.2%
Other values (77) 139
22.5%
Common
ValueCountFrequency (%)
10
90.9%
1 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 619
98.3%
ASCII 11
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 99
16.0%
중 57
9.2%
개 57
9.2%
무 55
 
8.9%
소 55
 
8.9%
인 49
 
7.9%
공 47
 
7.6%
산 21
 
3.4%
부 20
 
3.2%
동 20
 
3.2%
Other values (77) 139
22.5%
ASCII
ValueCountFrequency (%)
10
90.9%
1 1
 
9.1%

중개업자명
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-13T06:11:21.396646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters168
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)100.0%

Sample

1st row김근아
2nd row정상쾌
3rd row김창수
4th row이태헌
5th row이규혁
ValueCountFrequency (%)
김근아 1
 
1.8%
정상쾌 1
 
1.8%
이성도 1
 
1.8%
임윤진 1
 
1.8%
곽유경 1
 
1.8%
이헌구 1
 
1.8%
조현철 1
 
1.8%
정현숙 1
 
1.8%
윤철근 1
 
1.8%
곽흥수 1
 
1.8%
Other values (46) 46
82.1%
2023-12-13T06:11:21.786610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 13
 
7.7%
김 10
 
6.0%
정 10
 
6.0%
현 5
 
3.0%
숙 5
 
3.0%
경 5
 
3.0%
태 5
 
3.0%
식 4
 
2.4%
백 4
 
2.4%
미 4
 
2.4%
Other values (61) 103
61.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 168
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 13
 
7.7%
김 10
 
6.0%
정 10
 
6.0%
현 5
 
3.0%
숙 5
 
3.0%
경 5
 
3.0%
태 5
 
3.0%
식 4
 
2.4%
백 4
 
2.4%
미 4
 
2.4%
Other values (61) 103
61.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 168
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 13
 
7.7%
김 10
 
6.0%
정 10
 
6.0%
현 5
 
3.0%
숙 5
 
3.0%
경 5
 
3.0%
태 5
 
3.0%
식 4
 
2.4%
백 4
 
2.4%
미 4
 
2.4%
Other values (61) 103
61.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 168
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 13
 
7.7%
김 10
 
6.0%
정 10
 
6.0%
현 5
 
3.0%
숙 5
 
3.0%
경 5
 
3.0%
태 5
 
3.0%
식 4
 
2.4%
백 4
 
2.4%
미 4
 
2.4%
Other values (61) 103
61.3%

전화번호
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-13T06:11:22.076636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.035714
Min length12

Characters and Unicode

Total characters674
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

Unique56 ?
Unique (%)100.0%

Sample

1st row055-943-3135
2nd row055-945-4988
3rd row055-942-9808
4th row055-945-3700
5th row055-943-7716
ValueCountFrequency (%)
055-943-3135 1
 
1.8%
055-945-4988 1
 
1.8%
055-943-1817 1
 
1.8%
055-945-6110 1
 
1.8%
055-963-1813 1
 
1.8%
055-945-5457 1
 
1.8%
055-943-4609 1
 
1.8%
055-944-8944 1
 
1.8%
055-945-3550 1
 
1.8%
055-942-5929 1
 
1.8%
Other values (46) 46
82.1%
2023-12-13T06:11:22.533746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 152
22.6%
- 112
16.6%
0 91
13.5%
9 82
12.2%
4 81
12.0%
8 39
 
5.8%
3 36
 
5.3%
1 35
 
5.2%
2 16
 
2.4%
6 16
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 562
83.4%
Dash Punctuation 112
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 152
27.0%
0 91
16.2%
9 82
14.6%
4 81
14.4%
8 39
 
6.9%
3 36
 
6.4%
1 35
 
6.2%
2 16
 
2.8%
6 16
 
2.8%
7 14
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 674
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 152
22.6%
- 112
16.6%
0 91
13.5%
9 82
12.2%
4 81
12.0%
8 39
 
5.8%
3 36
 
5.3%
1 35
 
5.2%
2 16
 
2.4%
6 16
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 674
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 152
22.6%
- 112
16.6%
0 91
13.5%
9 82
12.2%
4 81
12.0%
8 39
 
5.8%
3 36
 
5.3%
1 35
 
5.2%
2 16
 
2.4%
6 16
 
2.4%

소재지도로명주소
Text

Distinct55
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-13T06:11:22.872264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length23.928571
Min length19

Characters and Unicode

Total characters1340
Distinct characters83
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)96.4%

Sample

1st row경상남도 거창군 거창읍 수남로 2276
2nd row경상남도 거창군 거창읍 강변로9길 41, 상가동 103호(신흥아파트)
3rd row경상남도 거창군 거창읍 강남로 128-1, 1층
4th row경상남도 거창군 거창읍 거창대로 76, 제1호
5th row경상남도 거창군 거창읍 거열로7길 25, 대경넥스빌상가 111호
ValueCountFrequency (%)
경상남도 56
18.1%
거창군 56
18.1%
거창읍 49
15.9%
1층 10
 
3.2%
거열로 7
 
2.3%
창동로 7
 
2.3%
거창대로 6
 
1.9%
강남로 6
 
1.9%
가조면 5
 
1.6%
가조가야로 3
 
1.0%
Other values (85) 104
33.7%
2023-12-13T06:11:23.316432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
259
19.3%
거 127
 
9.5%
창 121
 
9.0%
남 66
 
4.9%
1 66
 
4.9%
상 60
 
4.5%
경 57
 
4.3%
도 56
 
4.2%
군 56
 
4.2%
읍 49
 
3.7%
Other values (73) 423
31.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 829
61.9%
Space Separator 259
 
19.3%
Decimal Number 210
 
15.7%
Other Punctuation 24
 
1.8%
Dash Punctuation 8
 
0.6%
Close Punctuation 5
 
0.4%
Open Punctuation 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 127
15.3%
창 121
14.6%
남 66
 
8.0%
상 60
 
7.2%
경 57
 
6.9%
도 56
 
6.8%
군 56
 
6.8%
읍 49
 
5.9%
로 47
 
5.7%
길 19
 
2.3%
Other values (58) 171
20.6%
Decimal Number
ValueCountFrequency (%)
1 66
31.4%
2 27
12.9%
6 18
 
8.6%
4 18
 
8.6%
3 18
 
8.6%
0 15
 
7.1%
5 14
 
6.7%
9 14
 
6.7%
8 10
 
4.8%
7 10
 
4.8%
Space Separator
ValueCountFrequency (%)
259
100.0%
Other Punctuation
ValueCountFrequency (%)
, 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 829
61.9%
Common 511
38.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 127
15.3%
창 121
14.6%
남 66
 
8.0%
상 60
 
7.2%
경 57
 
6.9%
도 56
 
6.8%
군 56
 
6.8%
읍 49
 
5.9%
로 47
 
5.7%
길 19
 
2.3%
Other values (58) 171
20.6%
Common
ValueCountFrequency (%)
259
50.7%
1 66
 
12.9%
2 27
 
5.3%
, 24
 
4.7%
6 18
 
3.5%
4 18
 
3.5%
3 18
 
3.5%
0 15
 
2.9%
5 14
 
2.7%
9 14
 
2.7%
Other values (5) 38
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 829
61.9%
ASCII 511
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
259
50.7%
1 66
 
12.9%
2 27
 
5.3%
, 24
 
4.7%
6 18
 
3.5%
4 18
 
3.5%
3 18
 
3.5%
0 15
 
2.9%
5 14
 
2.7%
9 14
 
2.7%
Other values (5) 38
 
7.4%
Hangul
ValueCountFrequency (%)
거 127
15.3%
창 121
14.6%
남 66
 
8.0%
상 60
 
7.2%
경 57
 
6.9%
도 56
 
6.8%
군 56
 
6.8%
읍 49
 
5.9%
로 47
 
5.7%
길 19
 
2.3%
Other values (58) 171
20.6%

소재지지번주소
Text

Distinct53
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-13T06:11:23.581838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length22.303571
Min length20

Characters and Unicode

Total characters1249
Distinct characters42
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)89.3%

Sample

1st row경상남도 거창군 거창읍 김천리 102-19
2nd row경상남도 거창군 거창읍 대동리 54-4
3rd row경상남도 거창군 거창읍 김천리 397-1
4th row경상남도 거창군 거창읍 대동리 838-1
5th row경상남도 거창군 거창읍 상림리 772
ValueCountFrequency (%)
경상남도 56
19.6%
거창군 56
19.6%
거창읍 49
17.1%
대동리 14
 
4.9%
대평리 11
 
3.8%
상림리 11
 
3.8%
송정리 7
 
2.4%
가조면 5
 
1.7%
마상리 5
 
1.7%
1층 4
 
1.4%
Other values (61) 68
23.8%
2023-12-13T06:11:23.997490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
231
18.5%
거 106
 
8.5%
창 105
 
8.4%
상 72
 
5.8%
1 65
 
5.2%
경 56
 
4.5%
남 56
 
4.5%
도 56
 
4.5%
군 56
 
4.5%
리 56
 
4.5%
Other values (32) 390
31.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 734
58.8%
Decimal Number 240
 
19.2%
Space Separator 231
 
18.5%
Dash Punctuation 44
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 106
14.4%
창 105
14.3%
상 72
9.8%
경 56
7.6%
남 56
7.6%
도 56
7.6%
군 56
7.6%
리 56
7.6%
읍 49
6.7%
대 25
 
3.4%
Other values (20) 97
13.2%
Decimal Number
ValueCountFrequency (%)
1 65
27.1%
3 29
12.1%
8 27
11.2%
4 20
 
8.3%
2 20
 
8.3%
7 18
 
7.5%
9 17
 
7.1%
5 16
 
6.7%
6 15
 
6.2%
0 13
 
5.4%
Space Separator
ValueCountFrequency (%)
231
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 734
58.8%
Common 515
41.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 106
14.4%
창 105
14.3%
상 72
9.8%
경 56
7.6%
남 56
7.6%
도 56
7.6%
군 56
7.6%
리 56
7.6%
읍 49
6.7%
대 25
 
3.4%
Other values (20) 97
13.2%
Common
ValueCountFrequency (%)
231
44.9%
1 65
 
12.6%
- 44
 
8.5%
3 29
 
5.6%
8 27
 
5.2%
4 20
 
3.9%
2 20
 
3.9%
7 18
 
3.5%
9 17
 
3.3%
5 16
 
3.1%
Other values (2) 28
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 734
58.8%
ASCII 515
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
231
44.9%
1 65
 
12.6%
- 44
 
8.5%
3 29
 
5.6%
8 27
 
5.2%
4 20
 
3.9%
2 20
 
3.9%
7 18
 
3.5%
9 17
 
3.3%
5 16
 
3.1%
Other values (2) 28
 
5.4%
Hangul
ValueCountFrequency (%)
거 106
14.4%
창 105
14.3%
상 72
9.8%
경 56
7.6%
남 56
7.6%
도 56
7.6%
군 56
7.6%
리 56
7.6%
읍 49
6.7%
대 25
 
3.4%
Other values (20) 97
13.2%

위도
Real number (ℝ)

Distinct52
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.68983
Minimum35.680477
Maximum35.750578
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2023-12-13T06:11:24.178828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.680477
5-th percentile35.681132
Q135.684173
median35.687864
Q335.689834
95-th percentile35.710209
Maximum35.750578
Range0.070100937
Interquartile range (IQR)0.0056612664

Descriptive statistics

Standard deviation0.011210086
Coefficient of variation (CV)0.00031409749
Kurtosis15.406722
Mean35.68983
Median Absolute Deviation (MAD)0.0032398588
Skewness3.4230361
Sum1998.6305
Variance0.00012566602
MonotonicityNot monotonic
2023-12-13T06:11:24.357845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.6893797697 2
 
3.6%
35.6819640458 2
 
3.6%
35.687789712 2
 
3.6%
35.6878760027 2
 
3.6%
35.6820532454 1
 
1.8%
35.6850740697 1
 
1.8%
35.6911108292 1
 
1.8%
35.6881990264 1
 
1.8%
35.7104079203 1
 
1.8%
35.7104695944 1
 
1.8%
Other values (42) 42
75.0%
ValueCountFrequency (%)
35.6804768468 1
1.8%
35.680818289 1
1.8%
35.6809253721 1
1.8%
35.6812012592 1
1.8%
35.6813585946 1
1.8%
35.6819640458 2
3.6%
35.6819810701 1
1.8%
35.6820532454 1
1.8%
35.6821016941 1
1.8%
35.682388498 1
1.8%
ValueCountFrequency (%)
35.7505777842 1
1.8%
35.7104695944 1
1.8%
35.7104079203 1
1.8%
35.710142213 1
1.8%
35.7093720522 1
1.8%
35.7076763802 1
1.8%
35.6988273693 1
1.8%
35.6938272815 1
1.8%
35.6923317504 1
1.8%
35.6915858546 1
1.8%

경도
Real number (ℝ)

Distinct52
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.91903
Minimum127.8312
Maximum128.0159
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2023-12-13T06:11:24.521549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.8312
5-th percentile127.90025
Q1127.90588
median127.91455
Q3127.91849
95-th percentile128.01505
Maximum128.0159
Range0.18470246
Interquartile range (IQR)0.012615039

Descriptive statistics

Standard deviation0.033656668
Coefficient of variation (CV)0.00026310915
Kurtosis4.7831231
Mean127.91903
Median Absolute Deviation (MAD)0.0067675366
Skewness1.735729
Sum7163.4659
Variance0.0011327713
MonotonicityNot monotonic
2023-12-13T06:11:24.667103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.902032777 2
 
3.6%
127.9056712412 2
 
3.6%
127.9025126579 2
 
3.6%
127.9203501999 2
 
3.6%
127.9125724433 1
 
1.8%
127.9219712682 1
 
1.8%
127.9154578306 1
 
1.8%
127.9202653124 1
 
1.8%
128.0144081202 1
 
1.8%
128.0159003378 1
 
1.8%
Other values (42) 42
75.0%
ValueCountFrequency (%)
127.8311978761 1
1.8%
127.8594486965 1
1.8%
127.8995973138 1
1.8%
127.9004676887 1
1.8%
127.9014287197 1
1.8%
127.901521277 1
1.8%
127.902032777 2
3.6%
127.9025126579 2
3.6%
127.9040895118 1
1.8%
127.9056712412 2
3.6%
ValueCountFrequency (%)
128.0159003378 1
1.8%
128.0158927376 1
1.8%
128.0156039721 1
1.8%
128.0148706248 1
1.8%
128.0144081202 1
1.8%
127.926289175 1
1.8%
127.9220679199 1
1.8%
127.9220143102 1
1.8%
127.9219712682 1
1.8%
127.9211326672 1
1.8%

업무보증기간시작
Date

Distinct48
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size580.0 B
Minimum2022-10-11 00:00:00
Maximum2023-10-07 00:00:00
2023-12-13T06:11:24.820853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:11:24.941441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

업무보증기간만료
Date

Distinct48
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size580.0 B
Minimum2023-10-10 00:00:00
Maximum2024-10-06 00:00:00
2023-12-13T06:11:25.083441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:11:25.226998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size580.0 B
Minimum2023-10-10 00:00:00
Maximum2023-10-10 00:00:00
2023-12-13T06:11:25.332094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:11:25.423121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T06:11:19.248156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:11:19.035777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:11:19.373563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:11:19.129774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:11:25.528563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록번호중개업소명중개업자명전화번호소재지도로명주소소재지지번주소위도경도업무보증기간시작업무보증기간만료
등록번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
중개업소명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
중개업자명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0000.9930.993
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.0000.9670.967
위도1.0001.0001.0001.0001.0001.0001.0000.9730.9230.923
경도1.0001.0001.0001.0001.0001.0000.9731.0000.9500.950
업무보증기간시작1.0001.0001.0001.0000.9930.9670.9230.9501.0001.000
업무보증기간만료1.0001.0001.0001.0000.9930.9670.9230.9501.0001.000
2023-12-13T06:11:25.669119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.305
경도0.3051.000

Missing values

2023-12-13T06:11:19.527254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:11:19.687679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

등록번호중개업소명중개업자명전화번호소재지도로명주소소재지지번주소위도경도업무보증기간시작업무보증기간만료데이터기준일자
048880-2015-00001태영공인중개사사무소김근아055-943-3135경상남도 거창군 거창읍 수남로 2276경상남도 거창군 거창읍 김천리 102-1935.682053127.9125722023-01-072024-01-062023-10-10
148880-2015-00002스타공인중개사사무소정상쾌055-945-4988경상남도 거창군 거창읍 강변로9길 41, 상가동 103호(신흥아파트)경상남도 거창군 거창읍 대동리 54-435.688668127.9174762023-02-092024-02-082023-10-10
248880-2015-00003대림공인중개사사무소김창수055-942-9808경상남도 거창군 거창읍 강남로 128-1, 1층경상남도 거창군 거창읍 김천리 397-135.683113127.9115712023-05-162024-05-152023-10-10
348880-2015-00005가나공인중개사사무소이태헌055-945-3700경상남도 거창군 거창읍 거창대로 76, 제1호경상남도 거창군 거창읍 대동리 838-135.688271127.9158262023-09-162024-09-152023-10-10
448880-2015-00006대경부동산중개사무소이규혁055-943-7716경상남도 거창군 거창읍 거열로7길 25, 대경넥스빌상가 111호경상남도 거창군 거창읍 상림리 77235.68938127.9020332023-10-072024-10-062023-10-10
548880-2016-00008삼성공인중개사사무소이일권055-945-8181경상남도 거창군 거창읍 강남로 180경상남도 거창군 거창읍 대평리 114835.684761127.9168862022-12-292023-12-282023-10-10
648880-2017-00001거창전원공인중개사사무소강말임055-945-5858경상남도 거창군 거창읍 거창대로 36경상남도 거창군 거창읍 대평리 113635.684954127.9174472023-03-052024-03-042023-10-10
748880-2017-00002장수부동산공인중개사사무소마수정055-945-8088경상남도 거창군 거창읍 강남로 162경상남도 거창군 거창읍 대평리 1485-4935.684205127.915082023-01-242024-01-232023-10-10
848880-2017-00003한국부동산공인중개사사무소차형근055-945-1196경상남도 거창군 거창읍 창동로 75, 2층경상남도 거창군 거창읍 대평리 1498-135.684024127.9220142023-02-072024-02-062023-10-10
948880-2017-00004만물공인중개사사무소문현수055-945-6188경상남도 거창군 거창읍 거함대로1길 29경상남도 거창군 거창읍 김천리 342-935.681359127.9113792023-03-032024-03-022023-10-10
등록번호중개업소명중개업자명전화번호소재지도로명주소소재지지번주소위도경도업무보증기간시작업무보증기간만료데이터기준일자
46가-4354-77우리공인중개사 사무소유병화055-945-1108경상남도 거창군 거창읍 죽전1길 5, 1층경상남도 거창군 거창읍 상림리 17-3 1층35.689481127.9089482023-03-192024-03-182023-10-10
47가-4354-78대성 공인중개사사무소이영일055-943-6600경상남도 거창군 거창읍 거열로 108경상남도 거창군 거창읍 상림리 797-135.688516127.9057262023-08-252024-08-242023-10-10
48가-4354-86알짜공인중개사사무소김원식055-944-4980경상남도 거창군 거창읍 거열로4길 54-3, 2호경상남도 거창군 거창읍 상림리 1-4235.691068127.9069282022-12-302023-12-292023-10-10
49가-4354-87덕유산공인중개사사무소백효일055-945-3030경상남도 거창군 거창읍 거창대로2길 18경상남도 거창군 거창읍 대동리 697-735.68761127.9169222023-02-262024-02-252023-10-10
50가-4354-89성일공인중개사무소성일준055-944-8904경상남도 거창군 거창읍 거창대로 91, 2층경상남도 거창군 거창읍 대동리 702-235.689708127.9148862023-07-072024-07-062023-10-10
51가-4354-96신도시공인중개사 사무소백종현055-945-3733경상남도 거창군 거창읍 공수들4길 37경상남도 거창군 거창읍 상림리 83835.68779127.9025132023-04-142024-04-132023-10-10
52가-4354-97거창하나로공인중개사사무소박홍용055-944-4989경상남도 거창군 거창읍 강남로 36경상남도 거창군 거창읍 송정리 261-335.682388127.9015212023-05-062024-05-052023-10-10
53가-4354-99토지공인중개사사무소김옥숙055-942-7797경상남도 거창군 거창읍 거열로4길 6경상남도 거창군 거창읍 상림리 18-335.68915127.9075982023-07-082024-07-072023-10-10
54나-4354-13일성부동산중개인 사무소현재식055-944-3651경상남도 거창군 거창읍 거열로 211경상남도 거창군 거창읍 대동리 680-635.691586127.9158752023-07-012024-06-302023-10-10
55가-4354-40가남부동산중개인 사무소최태균055-942-1939경상남도 거창군 가조면 지산로 1485경상남도 거창군 가조면 마상리 313-335.709372128.0156042023-07-012024-06-302023-10-10