Overview

Dataset statistics

Number of variables7
Number of observations124
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.9 KiB
Average record size in memory57.1 B

Variable types

Categorical4
Text3

Dataset

Description충청남도 예산군 부동산중개업소정보에 대한 중개업소명, 중개업소구분, 주소 등 개업공인중개사 등록현황 자료를 제공합니다
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=97&beforeMenuCd=DOM_000000201001001000&publicdatapk=15104180

Alerts

시군구명 has constant value ""Constant
행정처분상태 has constant value ""Constant
중개업소구분 has constant value ""Constant
중개업자명 has unique valuesUnique

Reproduction

Analysis started2024-01-09 22:38:08.956978
Analysis finished2024-01-09 22:38:09.586654
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
충청남도 예산군
124 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row충청남도 예산군
2nd row충청남도 예산군
3rd row충청남도 예산군
4th row충청남도 예산군
5th row충청남도 예산군

Common Values

ValueCountFrequency (%)
충청남도 예산군 124
100.0%

Length

2024-01-10T07:38:09.656054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:38:09.753361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청남도 124
50.0%
예산군 124
50.0%

법정동
Categorical

Distinct9
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
삽교읍
48 
예산읍
43 
덕산면
15 
응봉면
5 
오가면
5 
Other values (4)
8 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row덕산면
2nd row덕산면
3rd row예산읍
4th row응봉면
5th row응봉면

Common Values

ValueCountFrequency (%)
삽교읍 48
38.7%
예산읍 43
34.7%
덕산면 15
 
12.1%
응봉면 5
 
4.0%
오가면 5
 
4.0%
고덕면 3
 
2.4%
대술면 2
 
1.6%
대흥면 2
 
1.6%
신양면 1
 
0.8%

Length

2024-01-10T07:38:09.854341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:38:09.974399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
삽교읍 48
38.7%
예산읍 43
34.7%
덕산면 15
 
12.1%
응봉면 5
 
4.0%
오가면 5
 
4.0%
고덕면 3
 
2.4%
대술면 2
 
1.6%
대흥면 2
 
1.6%
신양면 1
 
0.8%

행정처분상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업중
124 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 124
100.0%

Length

2024-01-10T07:38:10.094275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:38:10.198697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 124
100.0%

중개업소구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
공인중개사
124 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공인중개사 124
100.0%

Length

2024-01-10T07:38:10.301471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:38:10.398033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공인중개사 124
100.0%

중개업자명
Text

UNIQUE 

Distinct124
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-01-10T07:38:10.661396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9919355
Min length2

Characters and Unicode

Total characters371
Distinct characters120
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

Unique124 ?
Unique (%)100.0%

Sample

1st row전태곤
2nd row강태원
3rd row김용철
4th row박상옥
5th row노용선
ValueCountFrequency (%)
전태곤 1
 
0.8%
김경순 1
 
0.8%
홍은경 1
 
0.8%
한만옥 1
 
0.8%
김장성 1
 
0.8%
조필원 1
 
0.8%
최민제 1
 
0.8%
신명희 1
 
0.8%
이춘성 1
 
0.8%
강복희 1
 
0.8%
Other values (114) 114
91.9%
2024-01-10T07:38:11.054523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 25
 
6.7%
이 17
 
4.6%
성 13
 
3.5%
박 12
 
3.2%
순 9
 
2.4%
희 9
 
2.4%
조 8
 
2.2%
경 7
 
1.9%
미 7
 
1.9%
영 7
 
1.9%
Other values (110) 257
69.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 371
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 25
 
6.7%
이 17
 
4.6%
성 13
 
3.5%
박 12
 
3.2%
순 9
 
2.4%
희 9
 
2.4%
조 8
 
2.2%
경 7
 
1.9%
미 7
 
1.9%
영 7
 
1.9%
Other values (110) 257
69.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 371
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 25
 
6.7%
이 17
 
4.6%
성 13
 
3.5%
박 12
 
3.2%
순 9
 
2.4%
희 9
 
2.4%
조 8
 
2.2%
경 7
 
1.9%
미 7
 
1.9%
영 7
 
1.9%
Other values (110) 257
69.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 371
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 25
 
6.7%
이 17
 
4.6%
성 13
 
3.5%
박 12
 
3.2%
순 9
 
2.4%
희 9
 
2.4%
조 8
 
2.2%
경 7
 
1.9%
미 7
 
1.9%
영 7
 
1.9%
Other values (110) 257
69.3%

중개업소명
Text

Distinct121
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-01-10T07:38:11.250695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length11.354839
Min length7

Characters and Unicode

Total characters1408
Distinct characters160
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

Unique118 ?
Unique (%)95.2%

Sample

1st row가야부동산중개사무소
2nd row온천부동산중개인사무소
3rd row백산부동산중개인사무소
4th row광명부동산중개인사무소
5th row예당부동산중개사무소
ValueCountFrequency (%)
공인중개사사무소 4
 
3.1%
삼성공인중개사사무소 2
 
1.5%
이담공인중개사사무소 2
 
1.5%
충남내포공인중개사사무소 2
 
1.5%
대방공인중개사사무소 1
 
0.8%
태광부동산공인중개사사무소 1
 
0.8%
내포대방엘리움공인중개사사무소 1
 
0.8%
부동산이야기공인중개사사무소 1
 
0.8%
토란 1
 
0.8%
초원공인중개사사무소 1
 
0.8%
Other values (115) 115
87.8%
2024-01-10T07:38:11.551532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 237
16.8%
중 127
 
9.0%
개 125
 
8.9%
무 124
 
8.8%
소 123
 
8.7%
인 117
 
8.3%
공 114
 
8.1%
산 34
 
2.4%
동 30
 
2.1%
부 26
 
1.8%
Other values (150) 351
24.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1376
97.7%
Uppercase Letter 11
 
0.8%
Space Separator 8
 
0.6%
Decimal Number 8
 
0.6%
Lowercase Letter 3
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 237
17.2%
중 127
 
9.2%
개 125
 
9.1%
무 124
 
9.0%
소 123
 
8.9%
인 117
 
8.5%
공 114
 
8.3%
산 34
 
2.5%
동 30
 
2.2%
부 26
 
1.9%
Other values (134) 319
23.2%
Uppercase Letter
ValueCountFrequency (%)
K 3
27.3%
S 2
18.2%
E 1
 
9.1%
G 1
 
9.1%
O 1
 
9.1%
L 1
 
9.1%
B 1
 
9.1%
A 1
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
t 1
33.3%
h 1
33.3%
e 1
33.3%
Decimal Number
ValueCountFrequency (%)
1 6
75.0%
4 2
 
25.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1376
97.7%
Common 18
 
1.3%
Latin 14
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 237
17.2%
중 127
 
9.2%
개 125
 
9.1%
무 124
 
9.0%
소 123
 
8.9%
인 117
 
8.5%
공 114
 
8.3%
산 34
 
2.5%
동 30
 
2.2%
부 26
 
1.9%
Other values (134) 319
23.2%
Latin
ValueCountFrequency (%)
K 3
21.4%
S 2
14.3%
E 1
 
7.1%
G 1
 
7.1%
t 1
 
7.1%
h 1
 
7.1%
O 1
 
7.1%
e 1
 
7.1%
L 1
 
7.1%
B 1
 
7.1%
Common
ValueCountFrequency (%)
8
44.4%
1 6
33.3%
4 2
 
11.1%
( 1
 
5.6%
) 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1376
97.7%
ASCII 32
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 237
17.2%
중 127
 
9.2%
개 125
 
9.1%
무 124
 
9.0%
소 123
 
8.9%
인 117
 
8.5%
공 114
 
8.3%
산 34
 
2.5%
동 30
 
2.2%
부 26
 
1.9%
Other values (134) 319
23.2%
ASCII
ValueCountFrequency (%)
8
25.0%
1 6
18.8%
K 3
 
9.4%
S 2
 
6.2%
4 2
 
6.2%
E 1
 
3.1%
G 1
 
3.1%
t 1
 
3.1%
h 1
 
3.1%
O 1
 
3.1%
Other values (6) 6
18.8%

사무소주소(도로명)
Text

Distinct118
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-01-10T07:38:11.804857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length36.5
Mean length26.112903
Min length18

Characters and Unicode

Total characters3238
Distinct characters111
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique112 ?
Unique (%)90.3%

Sample

1st row충청남도 예산군 덕산면 덕산온천로 327
2nd row충청남도 예산군 덕산면 덕산온천로 287
3rd row충청남도 예산군 예산읍 창말로 6(예산읍)
4th row충청남도 예산군 응봉면 예당로 1519(응봉면)
5th row충청남도 예산군 응봉면 예당로 1175(응봉면)
ValueCountFrequency (%)
충청남도 124
 
17.3%
예산군 124
 
17.3%
삽교읍 48
 
6.7%
예산읍 42
 
5.9%
덕산면 15
 
2.1%
11 15
 
2.1%
수암천로 14
 
2.0%
예학로 9
 
1.3%
덕산온천로 9
 
1.3%
예당로 7
 
1.0%
Other values (186) 310
43.2%
2024-01-10T07:38:12.184928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
593
18.3%
1 224
 
6.9%
산 206
 
6.4%
예 199
 
6.1%
청 135
 
4.2%
충 133
 
4.1%
도 128
 
4.0%
군 126
 
3.9%
남 124
 
3.8%
로 116
 
3.6%
Other values (101) 1254
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1944
60.0%
Space Separator 593
 
18.3%
Decimal Number 574
 
17.7%
Other Punctuation 49
 
1.5%
Close Punctuation 24
 
0.7%
Open Punctuation 24
 
0.7%
Dash Punctuation 16
 
0.5%
Uppercase Letter 14
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 206
 
10.6%
예 199
 
10.2%
청 135
 
6.9%
충 133
 
6.8%
도 128
 
6.6%
군 126
 
6.5%
남 124
 
6.4%
로 116
 
6.0%
읍 98
 
5.0%
교 56
 
2.9%
Other values (83) 623
32.0%
Decimal Number
ValueCountFrequency (%)
1 224
39.0%
2 68
 
11.8%
0 61
 
10.6%
5 43
 
7.5%
4 36
 
6.3%
3 35
 
6.1%
7 28
 
4.9%
9 28
 
4.9%
6 26
 
4.5%
8 25
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 48
98.0%
@ 1
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
B 13
92.9%
A 1
 
7.1%
Space Separator
ValueCountFrequency (%)
593
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1944
60.0%
Common 1280
39.5%
Latin 14
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 206
 
10.6%
예 199
 
10.2%
청 135
 
6.9%
충 133
 
6.8%
도 128
 
6.6%
군 126
 
6.5%
남 124
 
6.4%
로 116
 
6.0%
읍 98
 
5.0%
교 56
 
2.9%
Other values (83) 623
32.0%
Common
ValueCountFrequency (%)
593
46.3%
1 224
 
17.5%
2 68
 
5.3%
0 61
 
4.8%
, 48
 
3.8%
5 43
 
3.4%
4 36
 
2.8%
3 35
 
2.7%
7 28
 
2.2%
9 28
 
2.2%
Other values (6) 116
 
9.1%
Latin
ValueCountFrequency (%)
B 13
92.9%
A 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1944
60.0%
ASCII 1294
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
593
45.8%
1 224
 
17.3%
2 68
 
5.3%
0 61
 
4.7%
, 48
 
3.7%
5 43
 
3.3%
4 36
 
2.8%
3 35
 
2.7%
7 28
 
2.2%
9 28
 
2.2%
Other values (8) 130
 
10.0%
Hangul
ValueCountFrequency (%)
산 206
 
10.6%
예 199
 
10.2%
청 135
 
6.9%
충 133
 
6.8%
도 128
 
6.6%
군 126
 
6.5%
남 124
 
6.4%
로 116
 
6.0%
읍 98
 
5.0%
교 56
 
2.9%
Other values (83) 623
32.0%

Missing values

2024-01-10T07:38:09.431535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:38:09.539379image/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

시군구명법정동행정처분상태중개업소구분중개업자명중개업소명사무소주소(도로명)
0충청남도 예산군덕산면영업중공인중개사전태곤가야부동산중개사무소충청남도 예산군 덕산면 덕산온천로 327
1충청남도 예산군덕산면영업중공인중개사강태원온천부동산중개인사무소충청남도 예산군 덕산면 덕산온천로 287
2충청남도 예산군예산읍영업중공인중개사김용철백산부동산중개인사무소충청남도 예산군 예산읍 창말로 6(예산읍)
3충청남도 예산군응봉면영업중공인중개사박상옥광명부동산중개인사무소충청남도 예산군 응봉면 예당로 1519(응봉면)
4충청남도 예산군응봉면영업중공인중개사노용선예당부동산중개사무소충청남도 예산군 응봉면 예당로 1175(응봉면)
5충청남도 예산군예산읍영업중공인중개사황건성황금부동산중개사무소충청남도 예산군 예산읍 임성로1번길 14-1
6충청남도 예산군예산읍영업중공인중개사김기연무한공인중개사사무소충청남도 예산군 예산읍 산성공원1길 36(예산읍)
7충청남도 예산군덕산면영업중공인중개사이상기공인중개사이상기사무소충청남도 예산군 덕산면 충의로 8(덕산면)
8충청남도 예산군예산읍영업중공인중개사안숙희미래공인중개사무소충청남도 예산군 예산읍 역전로 154(예산읍)
9충청남도 예산군예산읍영업중공인중개사박성규공인중개사박성규사무소충청남도 예산군 예산읍 벚꽃로 141(예산읍)
시군구명법정동행정처분상태중개업소구분중개업자명중개업소명사무소주소(도로명)
114충청남도 예산군삽교읍영업중공인중개사차현주단지앞내포사랑공인중개사사무소충청남도 예산군 삽교읍 예학로 112, 112동 104호
115충청남도 예산군삽교읍영업중공인중개사김혜민내포라라공인중개사사무소충청남도 예산군 삽교읍 예학로 112, 113동 108호
116충청남도 예산군삽교읍영업중공인중개사박경화내포아는공인중개사사무소충청남도 예산군 삽교읍 수암천로 11, 117동 B119호
117충청남도 예산군삽교읍영업중공인중개사유미숙이지더원정문공인중개사사무소충청남도 예산군 삽교읍 예학로 112, 112동 104호
118충청남도 예산군삽교읍영업중공인중개사김성국아는공인중개사사무소충청남도 예산군 삽교읍 수암천로 11, 117동 B119호
119충청남도 예산군삽교읍영업중공인중개사안재이내포안공인중개사사무소충청남도 예산군 삽교읍 애향14길 4, 1층
120충청남도 예산군예산읍영업중공인중개사김동수우리부동산공인중개사사무소충청남도 예산군 예산읍 창말로 42, 101호
121충청남도 예산군덕산면영업중공인중개사변선오양지공인중개사사무소충청남도 예산군 덕산면 수덕사로 1290
122충청남도 예산군덕산면영업중공인중개사박시은대림공인중개사사무소충청남도 예산군 덕산면 덕산온천로 418, 1층
123충청남도 예산군덕산면영업중공인중개사맹오섭공인중개사황금부동산중개사무소충청남도 예산군 덕산면 덕산온천로 467