Overview

Dataset statistics

Number of variables9
Number of observations116
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.3 KiB
Average record size in memory73.1 B

Variable types

Text6
DateTime1
Categorical2

Dataset

Description논산시 부동산중개업소 등록현황 파일데이터로 등록번호, 등록일자, 업소구분, 업소명, 행정동, 소재지도로명주소, 소재지지번주소, 전화번호 정보를 제공하고 있습니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=389&beforeMenuCd=DOM_000000201001001000&publicdatapk=3078244

Alerts

등록번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 22:40:47.283499
Analysis finished2024-01-09 22:40:47.748545
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Text

UNIQUE 

Distinct116
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-01-10T07:40:47.881942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length3
Mean length8.9051724
Min length1

Characters and Unicode

Total characters1033
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

Unique116 ?
Unique (%)100.0%

Sample

1st row7
2nd row9
3rd row18
4th row22
5th row23
ValueCountFrequency (%)
7 1
 
0.9%
44230-2016-00008 1
 
0.9%
44230-2018-00005 1
 
0.9%
44230-2018-00002 1
 
0.9%
44230-2017-00015 1
 
0.9%
44230-2017-00012 1
 
0.9%
44230-2017-00011 1
 
0.9%
44230-2017-00009 1
 
0.9%
44230-2017-00008 1
 
0.9%
44230-2017-00007 1
 
0.9%
Other values (106) 106
91.4%
2024-01-10T07:40:48.193964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 322
31.2%
2 147
14.2%
4 126
 
12.2%
- 108
 
10.5%
3 102
 
9.9%
1 100
 
9.7%
9 29
 
2.8%
8 29
 
2.8%
7 26
 
2.5%
5 22
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 925
89.5%
Dash Punctuation 108
 
10.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 322
34.8%
2 147
15.9%
4 126
 
13.6%
3 102
 
11.0%
1 100
 
10.8%
9 29
 
3.1%
8 29
 
3.1%
7 26
 
2.8%
5 22
 
2.4%
6 22
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1033
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 322
31.2%
2 147
14.2%
4 126
 
12.2%
- 108
 
10.5%
3 102
 
9.9%
1 100
 
9.7%
9 29
 
2.8%
8 29
 
2.8%
7 26
 
2.5%
5 22
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1033
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 322
31.2%
2 147
14.2%
4 126
 
12.2%
- 108
 
10.5%
3 102
 
9.9%
1 100
 
9.7%
9 29
 
2.8%
8 29
 
2.8%
7 26
 
2.5%
5 22
 
2.1%

등록일자
Date

Distinct113
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum1984-06-11 00:00:00
Maximum2020-03-09 00:00:00
2024-01-10T07:40:48.321581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:40:48.453878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소구분
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
공인중개사
102 
중개인
14 

Length

Max length5
Median length5
Mean length4.7586207
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공인중개사 102
87.9%
중개인 14
 
12.1%

Length

2024-01-10T07:40:48.564932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:40:48.652735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공인중개사 102
87.9%
중개인 14
 
12.1%

업소명
Text

Distinct115
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-01-10T07:40:48.820963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length9.6293103
Min length5

Characters and Unicode

Total characters1117
Distinct characters142
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)98.3%

Sample

1st row대명부동산중개인
2nd row벌곡신신부동산중개사무소
3rd row부적부동산중개인
4th row영진부동산사무소
5th row가야부동산중개인
ValueCountFrequency (%)
중앙공인중개사사무소 2
 
1.7%
중개사 2
 
1.7%
정대박부동산 1
 
0.8%
명당공인중개사무소 1
 
0.8%
김은환공인중개사 1
 
0.8%
으뜸공인중개사사무소 1
 
0.8%
리벤하임공인중개사사무소 1
 
0.8%
로얄공인중개사사무소 1
 
0.8%
힐스테이트자이공인중개사사무소 1
 
0.8%
그루터기공인중개사 1
 
0.8%
Other values (108) 108
90.0%
2024-01-10T07:40:49.114066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 180
16.1%
중 112
10.0%
개 111
9.9%
인 106
9.5%
공 98
 
8.8%
무 85
 
7.6%
소 84
 
7.5%
산 29
 
2.6%
동 26
 
2.3%
부 22
 
2.0%
Other values (132) 264
23.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1110
99.4%
Space Separator 4
 
0.4%
Uppercase Letter 2
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 180
16.2%
중 112
10.1%
개 111
10.0%
인 106
9.5%
공 98
 
8.8%
무 85
 
7.7%
소 84
 
7.6%
산 29
 
2.6%
동 26
 
2.3%
부 22
 
2.0%
Other values (128) 257
23.2%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
O 1
50.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1110
99.4%
Common 5
 
0.4%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 180
16.2%
중 112
10.1%
개 111
10.0%
인 106
9.5%
공 98
 
8.8%
무 85
 
7.7%
소 84
 
7.6%
산 29
 
2.6%
동 26
 
2.3%
부 22
 
2.0%
Other values (128) 257
23.2%
Common
ValueCountFrequency (%)
4
80.0%
1 1
 
20.0%
Latin
ValueCountFrequency (%)
K 1
50.0%
O 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1110
99.4%
ASCII 7
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 180
16.2%
중 112
10.1%
개 111
10.0%
인 106
9.5%
공 98
 
8.8%
무 85
 
7.7%
소 84
 
7.6%
산 29
 
2.6%
동 26
 
2.3%
부 22
 
2.0%
Other values (128) 257
23.2%
ASCII
ValueCountFrequency (%)
4
57.1%
K 1
 
14.3%
O 1
 
14.3%
1 1
 
14.3%

행정동
Categorical

Distinct9
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
취암동
77 
연산면
19 
부창동
 
7
연무읍
 
4
상월면
 
3
Other values (4)
 
6

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique2 ?
Unique (%)1.7%

Sample

1st row상월면
2nd row벌곡면
3rd row부적면
4th row취암동
5th row부창동

Common Values

ValueCountFrequency (%)
취암동 77
66.4%
연산면 19
 
16.4%
부창동 7
 
6.0%
연무읍 4
 
3.4%
상월면 3
 
2.6%
벌곡면 2
 
1.7%
강경읍 2
 
1.7%
부적면 1
 
0.9%
광석면 1
 
0.9%

Length

2024-01-10T07:40:49.255964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:40:49.372592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취암동 77
66.4%
연산면 19
 
16.4%
부창동 7
 
6.0%
연무읍 4
 
3.4%
상월면 3
 
2.6%
벌곡면 2
 
1.7%
강경읍 2
 
1.7%
부적면 1
 
0.9%
광석면 1
 
0.9%

소재지도로명주소
Text

Distinct104
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-01-10T07:40:49.653929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length18.991379
Min length14

Characters and Unicode

Total characters2203
Distinct characters64
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

Unique95 ?
Unique (%)81.9%

Sample

1st row충청남도 논산시 상월면 선비로 1089
2nd row충청남도 논산시 벌곡면 황룡재로 601
3rd row충청남도 논산시 부적면 덕평1길 32-5
4th row충청남도 논산시 시민로 322
5th row충청남도 논산시 해월로 35
ValueCountFrequency (%)
충청남도 116
23.4%
논산시 116
23.4%
중앙로 20
 
4.0%
연산면 19
 
3.8%
황산벌로 15
 
3.0%
시민로 11
 
2.2%
계백로 9
 
1.8%
1498 5
 
1.0%
중앙로384번길 5
 
1.0%
선비로 4
 
0.8%
Other values (129) 176
35.5%
2024-01-10T07:40:50.030690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
380
17.2%
산 151
 
6.9%
시 142
 
6.4%
청 117
 
5.3%
논 117
 
5.3%
충 116
 
5.3%
도 116
 
5.3%
남 116
 
5.3%
로 113
 
5.1%
1 98
 
4.4%
Other values (54) 737
33.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1343
61.0%
Decimal Number 448
 
20.3%
Space Separator 380
 
17.2%
Dash Punctuation 32
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 151
11.2%
시 142
10.6%
청 117
8.7%
논 117
8.7%
충 116
8.6%
도 116
8.6%
남 116
8.6%
로 113
8.4%
번 39
 
2.9%
길 37
 
2.8%
Other values (42) 279
20.8%
Decimal Number
ValueCountFrequency (%)
1 98
21.9%
4 60
13.4%
2 53
11.8%
3 52
11.6%
8 42
9.4%
9 40
8.9%
0 33
 
7.4%
7 24
 
5.4%
5 24
 
5.4%
6 22
 
4.9%
Space Separator
ValueCountFrequency (%)
380
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1343
61.0%
Common 860
39.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 151
11.2%
시 142
10.6%
청 117
8.7%
논 117
8.7%
충 116
8.6%
도 116
8.6%
남 116
8.6%
로 113
8.4%
번 39
 
2.9%
길 37
 
2.8%
Other values (42) 279
20.8%
Common
ValueCountFrequency (%)
380
44.2%
1 98
 
11.4%
4 60
 
7.0%
2 53
 
6.2%
3 52
 
6.0%
8 42
 
4.9%
9 40
 
4.7%
0 33
 
3.8%
- 32
 
3.7%
7 24
 
2.8%
Other values (2) 46
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1343
61.0%
ASCII 860
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
380
44.2%
1 98
 
11.4%
4 60
 
7.0%
2 53
 
6.2%
3 52
 
6.0%
8 42
 
4.9%
9 40
 
4.7%
0 33
 
3.8%
- 32
 
3.7%
7 24
 
2.8%
Other values (2) 46
 
5.3%
Hangul
ValueCountFrequency (%)
산 151
11.2%
시 142
10.6%
청 117
8.7%
논 117
8.7%
충 116
8.6%
도 116
8.6%
남 116
8.6%
로 113
8.4%
번 39
 
2.9%
길 37
 
2.8%
Other values (42) 279
20.8%

소재지지번주소
Text

Distinct104
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-01-10T07:40:50.296271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length18.741379
Min length14

Characters and Unicode

Total characters2174
Distinct characters56
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

Unique95 ?
Unique (%)81.9%

Sample

1st row충청남도 논산시 상월면 대우리 261-1
2nd row충청남도 논산시 벌곡면 한삼천리 243-8
3rd row충청남도 논산시 부적면 덕평리 331
4th row충청남도 논산시 취암동 460-30
5th row충청남도 논산시 부창동 314-7
ValueCountFrequency (%)
충청남도 116
23.4%
논산시 116
23.4%
취암동 48
 
9.7%
내동 25
 
5.0%
연산면 19
 
3.8%
연산리 17
 
3.4%
160-1 5
 
1.0%
연무읍 4
 
0.8%
강산동 4
 
0.8%
반월동 3
 
0.6%
Other values (121) 139
28.0%
2024-01-10T07:40:50.657575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
380
17.5%
산 157
 
7.2%
남 118
 
5.4%
청 117
 
5.4%
시 116
 
5.3%
충 116
 
5.3%
논 116
 
5.3%
도 116
 
5.3%
1 106
 
4.9%
- 89
 
4.1%
Other values (46) 743
34.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1233
56.7%
Decimal Number 472
 
21.7%
Space Separator 380
 
17.5%
Dash Punctuation 89
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 157
12.7%
남 118
9.6%
청 117
9.5%
시 116
9.4%
충 116
9.4%
논 116
9.4%
도 116
9.4%
동 86
7.0%
취 48
 
3.9%
암 48
 
3.9%
Other values (34) 195
15.8%
Decimal Number
ValueCountFrequency (%)
1 106
22.5%
4 54
11.4%
6 49
10.4%
0 47
10.0%
2 43
9.1%
3 43
9.1%
9 38
 
8.1%
7 38
 
8.1%
5 33
 
7.0%
8 21
 
4.4%
Space Separator
ValueCountFrequency (%)
380
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 89
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1233
56.7%
Common 941
43.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 157
12.7%
남 118
9.6%
청 117
9.5%
시 116
9.4%
충 116
9.4%
논 116
9.4%
도 116
9.4%
동 86
7.0%
취 48
 
3.9%
암 48
 
3.9%
Other values (34) 195
15.8%
Common
ValueCountFrequency (%)
380
40.4%
1 106
 
11.3%
- 89
 
9.5%
4 54
 
5.7%
6 49
 
5.2%
0 47
 
5.0%
2 43
 
4.6%
3 43
 
4.6%
9 38
 
4.0%
7 38
 
4.0%
Other values (2) 54
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1233
56.7%
ASCII 941
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
380
40.4%
1 106
 
11.3%
- 89
 
9.5%
4 54
 
5.7%
6 49
 
5.2%
0 47
 
5.0%
2 43
 
4.6%
3 43
 
4.6%
9 38
 
4.0%
7 38
 
4.0%
Other values (2) 54
 
5.7%
Hangul
ValueCountFrequency (%)
산 157
12.7%
남 118
9.6%
청 117
9.5%
시 116
9.4%
충 116
9.4%
논 116
9.4%
도 116
9.4%
동 86
7.0%
취 48
 
3.9%
암 48
 
3.9%
Other values (34) 195
15.8%

대표자명
Text

Distinct112
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-01-10T07:40:50.926196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters348
Distinct characters107
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

Unique108 ?
Unique (%)93.1%

Sample

1st row박해영
2nd row김종일
3rd row안영빈
4th row이호주
5th row이진용
ValueCountFrequency (%)
박용국 2
 
1.7%
김경숙 2
 
1.7%
김현태 2
 
1.7%
김은환 2
 
1.7%
박해영 1
 
0.9%
이재욱 1
 
0.9%
김남균 1
 
0.9%
유양상 1
 
0.9%
정도현 1
 
0.9%
김은순 1
 
0.9%
Other values (102) 102
87.9%
2024-01-10T07:40:51.287702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 25
 
7.2%
이 24
 
6.9%
정 18
 
5.2%
박 13
 
3.7%
영 10
 
2.9%
현 8
 
2.3%
은 7
 
2.0%
원 7
 
2.0%
숙 7
 
2.0%
종 7
 
2.0%
Other values (97) 222
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 348
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 25
 
7.2%
이 24
 
6.9%
정 18
 
5.2%
박 13
 
3.7%
영 10
 
2.9%
현 8
 
2.3%
은 7
 
2.0%
원 7
 
2.0%
숙 7
 
2.0%
종 7
 
2.0%
Other values (97) 222
63.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 348
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 25
 
7.2%
이 24
 
6.9%
정 18
 
5.2%
박 13
 
3.7%
영 10
 
2.9%
현 8
 
2.3%
은 7
 
2.0%
원 7
 
2.0%
숙 7
 
2.0%
종 7
 
2.0%
Other values (97) 222
63.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 348
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 25
 
7.2%
이 24
 
6.9%
정 18
 
5.2%
박 13
 
3.7%
영 10
 
2.9%
현 8
 
2.3%
은 7
 
2.0%
원 7
 
2.0%
숙 7
 
2.0%
종 7
 
2.0%
Other values (97) 222
63.8%

전화번호
Text

Distinct93
Distinct (%)80.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-01-10T07:40:51.498608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.008621
Min length12

Characters and Unicode

Total characters1393
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

Unique92 ?
Unique (%)79.3%

Sample

1st row041-732-4761
2nd row041-733-7882
3rd row041-732-7587
4th row041-732-2333
5th row041-735-2559
ValueCountFrequency (%)
000-000-0000 24
 
20.7%
041-732-0703 1
 
0.9%
041-735-2158 1
 
0.9%
041-735-9200 1
 
0.9%
041-733-3206 1
 
0.9%
041-732-3757 1
 
0.9%
041-733-4825 1
 
0.9%
041-736-7924 1
 
0.9%
041-734-6113 1
 
0.9%
041-734-8001 1
 
0.9%
Other values (83) 83
71.6%
2024-01-10T07:40:51.815984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 385
27.6%
- 232
16.7%
4 147
 
10.6%
3 144
 
10.3%
1 125
 
9.0%
7 124
 
8.9%
5 62
 
4.5%
8 50
 
3.6%
2 46
 
3.3%
6 42
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1161
83.3%
Dash Punctuation 232
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 385
33.2%
4 147
 
12.7%
3 144
 
12.4%
1 125
 
10.8%
7 124
 
10.7%
5 62
 
5.3%
8 50
 
4.3%
2 46
 
4.0%
6 42
 
3.6%
9 36
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 232
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1393
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 385
27.6%
- 232
16.7%
4 147
 
10.6%
3 144
 
10.3%
1 125
 
9.0%
7 124
 
8.9%
5 62
 
4.5%
8 50
 
3.6%
2 46
 
3.3%
6 42
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1393
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 385
27.6%
- 232
16.7%
4 147
 
10.6%
3 144
 
10.3%
1 125
 
9.0%
7 124
 
8.9%
5 62
 
4.5%
8 50
 
3.6%
2 46
 
3.3%
6 42
 
3.0%

Correlations

2024-01-10T07:40:51.902978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소구분행정동전화번호
업소구분1.0000.4041.000
행정동0.4041.0000.960
전화번호1.0000.9601.000
2024-01-10T07:40:51.973470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동업소구분
행정동1.0000.391
업소구분0.3911.000
2024-01-10T07:40:52.040640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소구분행정동
업소구분1.0000.391
행정동0.3911.000

Missing values

2024-01-10T07:40:47.608027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:40:47.708224image/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

등록번호등록일자업소구분업소명행정동소재지도로명주소소재지지번주소대표자명전화번호
071984-06-11중개인대명부동산중개인상월면충청남도 논산시 상월면 선비로 1089충청남도 논산시 상월면 대우리 261-1박해영041-732-4761
191984-06-13중개인벌곡신신부동산중개사무소벌곡면충청남도 논산시 벌곡면 황룡재로 601충청남도 논산시 벌곡면 한삼천리 243-8김종일041-733-7882
2181984-08-28중개인부적부동산중개인부적면충청남도 논산시 부적면 덕평1길 32-5충청남도 논산시 부적면 덕평리 331안영빈041-732-7587
3221985-02-04중개인영진부동산사무소취암동충청남도 논산시 시민로 322충청남도 논산시 취암동 460-30이호주041-732-2333
4231985-02-09중개인가야부동산중개인부창동충청남도 논산시 해월로 35충청남도 논산시 부창동 314-7이진용041-735-2559
5311985-08-17중개인동진부동산중개인취암동충청남도 논산시 계백로 1014충청남도 논산시 취암동 1040-22최상길041-732-2377
6341985-11-07중개인신흥부동산연산면충청남도 논산시 연산면 황산벌로 1476충청남도 논산시 연산면 연산리 79-7김원섭041-734-1879
7391986-02-20중개인대림부동산중개인취암동충청남도 논산시 계백로 1007-14충청남도 논산시 취암동 612-4윤철원041-735-2434
8411986-02-25중개인한일부동산중개사무소연무읍충청남도 논산시 연무읍 안심로 89충청남도 논산시 연무읍 안심리 9-11송우섭041-741-6363
9521987-02-16중개인종능부동산중개인취암동충청남도 논산시 중앙로 427-1충청남도 논산시 취암동 176-3신명철041-735-2590
등록번호등록일자업소구분업소명행정동소재지도로명주소소재지지번주소대표자명전화번호
10644230-2019-000102019-07-18공인중개사한일부동산중개인강경읍충청남도 논산시 강경읍 계백로 178충청남도 논산시 강경읍 남교리 64-11강장근041-745-3270
10744230-2019-000112019-07-29공인중개사공유공인중개사사무소연산면충청남도 논산시 연산면 황산벌로 1498충청남도 논산시 연산면 연산리 160-1장규열000-000-0000
10844230-2019-000122019-09-10공인중개사다모인공인중개사사무소연산면충청남도 논산시 연산면 황산벌로 1455충청남도 논산시 연산면 연산리 69-4김영민041-734-0962
10944230-2019-000132019-10-22공인중개사신화공인중개사사무소연산면충청남도 논산시 연산면 황산벌로 1499-1충청남도 논산시 연산면 연산리 174-15이의돈000-000-0000
11044230-2019-000142019-11-11공인중개사청솔공인중개사사무소부창동충청남도 논산시 논산대로 269-19충청남도 논산시 강산동 698이미영041-732-4949
11144230-2019-000152019-12-26공인중개사논산박사공인중개사사무소취암동충청남도 논산시 시민로194번길 32-1충청남도 논산시 내동 743조정숙041-733-8945
11244230-2020-000012020-01-15공인중개사재형공인중개사사무소부창동충청남도 논산시 시민로307번길 19충청남도 논산시 강산동 645민진식000-000-0000
11344230-2020-000022020-02-14공인중개사정원공인중개사사무소부창동충청남도 논산시 생뫼길 36-24충청남도 논산시 강산동 268-2이석원041-733-7766
11444230-2020-000032020-03-05공인중개사유배근공인중개사사무소연산면충청남도 논산시 연산면 황산벌로 1498충청남도 논산시 연산면 연산리 160-1류배근000-000-0000
11544230-2020-000042020-03-09공인중개사조은공인중개사사무소취암동충청남도 논산시 중앙로398번길 33-1충청남도 논산시 취암동 1058-7박진영000-000-0000