Overview

Dataset statistics

Number of variables6
Number of observations31
Missing cells16
Missing cells (%)8.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory52.3 B

Variable types

Categorical3
Text3

Dataset

Description경상북도 영덕군에 위치한 부동산중개업소 사무소명, 사무소전화번호, 사무소주소 등 부동산중개업소 정보를 아래와 같이 제공하고자 합니다.
URLhttps://www.data.go.kr/data/15068253/fileData.do

Alerts

시도 has constant value ""Constant
시군구 has constant value ""Constant
데이터기준일자 has constant value ""Constant
사무소전화번호 has 16 (51.6%) missing valuesMissing
사무소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:14:05.092707
Analysis finished2023-12-12 19:14:05.474034
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
경상북도
31 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상북도 31
100.0%

Length

2023-12-13T04:14:05.548379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:14:05.685322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상북도 31
100.0%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
영덕군
31 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영덕군 31
100.0%

Length

2023-12-13T04:14:05.864542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:14:05.989892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영덕군 31
100.0%

사무소명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-13T04:14:06.204947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length10
Mean length10.870968
Min length10

Characters and Unicode

Total characters337
Distinct characters68
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

Unique31 ?
Unique (%)100.0%

Sample

1st row동해부동산중개인사무소
2nd row동북부동산중개인사무소
3rd row영덕공인중개사사무소
4th row신세계공인중개사사무소
5th row미래공인중개사사무소
ValueCountFrequency (%)
사무소 3
 
8.1%
동해부동산중개인사무소 1
 
2.7%
동경공인중개사사무소 1
 
2.7%
청운공인중개사사무소 1
 
2.7%
보성공인중개사사무소 1
 
2.7%
강산부동산공인중개사무소 1
 
2.7%
만세공인중개사사무소 1
 
2.7%
롯데공인중개사사무소 1
 
2.7%
영해공인중개사 1
 
2.7%
하나공인중개사 1
 
2.7%
Other values (25) 25
67.6%
2023-12-13T04:14:06.675643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 55
16.3%
소 31
9.2%
무 31
9.2%
중 31
9.2%
개 31
9.2%
인 28
 
8.3%
공 26
 
7.7%
동 11
 
3.3%
산 8
 
2.4%
부 8
 
2.4%
Other values (58) 77
22.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 330
97.9%
Space Separator 6
 
1.8%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 55
16.7%
소 31
9.4%
무 31
9.4%
중 31
9.4%
개 31
9.4%
인 28
 
8.5%
공 26
 
7.9%
동 11
 
3.3%
산 8
 
2.4%
부 8
 
2.4%
Other values (56) 70
21.2%
Space Separator
ValueCountFrequency (%)
6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 330
97.9%
Common 7
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 55
16.7%
소 31
9.4%
무 31
9.4%
중 31
9.4%
개 31
9.4%
인 28
 
8.5%
공 26
 
7.9%
동 11
 
3.3%
산 8
 
2.4%
부 8
 
2.4%
Other values (56) 70
21.2%
Common
ValueCountFrequency (%)
6
85.7%
- 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 330
97.9%
ASCII 7
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 55
16.7%
소 31
9.4%
무 31
9.4%
중 31
9.4%
개 31
9.4%
인 28
 
8.5%
공 26
 
7.9%
동 11
 
3.3%
산 8
 
2.4%
부 8
 
2.4%
Other values (56) 70
21.2%
ASCII
ValueCountFrequency (%)
6
85.7%
- 1
 
14.3%

사무소전화번호
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing16
Missing (%)51.6%
Memory size380.0 B
2023-12-13T04:14:06.941822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters180
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

Unique15 ?
Unique (%)100.0%

Sample

1st row054-733-5097
2nd row054-733-0890
3rd row054-733-9631
4th row054-733-1066
5th row054-734-2155
ValueCountFrequency (%)
054-733-5097 1
 
6.7%
054-733-0890 1
 
6.7%
054-733-9631 1
 
6.7%
054-733-1066 1
 
6.7%
054-734-2155 1
 
6.7%
054-733-7007 1
 
6.7%
054-732-5678 1
 
6.7%
054-733-6006 1
 
6.7%
054-732-5665 1
 
6.7%
054-732-1661 1
 
6.7%
Other values (5) 5
33.3%
2023-12-13T04:14:07.365106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 30
16.7%
3 25
13.9%
0 24
13.3%
5 21
11.7%
4 20
11.1%
7 20
11.1%
6 11
 
6.1%
2 10
 
5.6%
1 9
 
5.0%
8 6
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 150
83.3%
Dash Punctuation 30
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 25
16.7%
0 24
16.0%
5 21
14.0%
4 20
13.3%
7 20
13.3%
6 11
7.3%
2 10
 
6.7%
1 9
 
6.0%
8 6
 
4.0%
9 4
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 180
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 30
16.7%
3 25
13.9%
0 24
13.3%
5 21
11.7%
4 20
11.1%
7 20
11.1%
6 11
 
6.1%
2 10
 
5.6%
1 9
 
5.0%
8 6
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 180
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 30
16.7%
3 25
13.9%
0 24
13.3%
5 21
11.7%
4 20
11.1%
7 20
11.1%
6 11
 
6.1%
2 10
 
5.6%
1 9
 
5.0%
8 6
 
3.3%

사무소주소(도로명)
Text

Distinct29
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-13T04:14:07.647084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length22.064516
Min length20

Characters and Unicode

Total characters684
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

Unique27 ?
Unique (%)87.1%

Sample

1st row경상북도 영덕군 강구면 동해대로 4474
2nd row경상북도 영덕군 강구면 동해대로 4504
3rd row경상북도 영덕군 영덕읍 남석길 68
4th row경상북도 영덕군 영해면 연평3길 2
5th row경상북도 영덕군 병곡면 영4길 64-17
ValueCountFrequency (%)
경상북도 31
19.6%
영덕군 31
19.6%
영덕읍 13
 
8.2%
강구면 8
 
5.1%
동해대로 6
 
3.8%
영해면 5
 
3.2%
영덕로 4
 
2.5%
병곡면 4
 
2.5%
58 2
 
1.3%
예주목은길 2
 
1.3%
Other values (47) 52
32.9%
2023-12-13T04:14:08.048606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
155
22.7%
영 56
 
8.2%
덕 50
 
7.3%
도 33
 
4.8%
군 33
 
4.8%
경 31
 
4.5%
상 31
 
4.5%
북 31
 
4.5%
길 20
 
2.9%
4 20
 
2.9%
Other values (46) 224
32.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 426
62.3%
Space Separator 155
 
22.7%
Decimal Number 94
 
13.7%
Dash Punctuation 9
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 56
13.1%
덕 50
11.7%
도 33
 
7.7%
군 33
 
7.7%
경 31
 
7.3%
상 31
 
7.3%
북 31
 
7.3%
길 20
 
4.7%
면 18
 
4.2%
읍 15
 
3.5%
Other values (34) 108
25.4%
Decimal Number
ValueCountFrequency (%)
4 20
21.3%
1 17
18.1%
8 11
11.7%
3 10
10.6%
7 8
 
8.5%
6 8
 
8.5%
2 7
 
7.4%
5 5
 
5.3%
0 4
 
4.3%
9 4
 
4.3%
Space Separator
ValueCountFrequency (%)
155
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 426
62.3%
Common 258
37.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 56
13.1%
덕 50
11.7%
도 33
 
7.7%
군 33
 
7.7%
경 31
 
7.3%
상 31
 
7.3%
북 31
 
7.3%
길 20
 
4.7%
면 18
 
4.2%
읍 15
 
3.5%
Other values (34) 108
25.4%
Common
ValueCountFrequency (%)
155
60.1%
4 20
 
7.8%
1 17
 
6.6%
8 11
 
4.3%
3 10
 
3.9%
- 9
 
3.5%
7 8
 
3.1%
6 8
 
3.1%
2 7
 
2.7%
5 5
 
1.9%
Other values (2) 8
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 426
62.3%
ASCII 258
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
155
60.1%
4 20
 
7.8%
1 17
 
6.6%
8 11
 
4.3%
3 10
 
3.9%
- 9
 
3.5%
7 8
 
3.1%
6 8
 
3.1%
2 7
 
2.7%
5 5
 
1.9%
Other values (2) 8
 
3.1%
Hangul
ValueCountFrequency (%)
영 56
13.1%
덕 50
11.7%
도 33
 
7.7%
군 33
 
7.7%
경 31
 
7.3%
상 31
 
7.3%
북 31
 
7.3%
길 20
 
4.7%
면 18
 
4.2%
읍 15
 
3.5%
Other values (34) 108
25.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-08-21
31 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-21
2nd row2023-08-21
3rd row2023-08-21
4th row2023-08-21
5th row2023-08-21

Common Values

ValueCountFrequency (%)
2023-08-21 31
100.0%

Length

2023-12-13T04:14:08.175033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:14:08.265278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-21 31
100.0%

Correlations

2023-12-13T04:14:08.328443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사무소명사무소전화번호사무소주소(도로명)
사무소명1.0001.0001.000
사무소전화번호1.0001.0001.000
사무소주소(도로명)1.0001.0001.000

Missing values

2023-12-13T04:14:05.303247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:14:05.418411image/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

시도시군구사무소명사무소전화번호사무소주소(도로명)데이터기준일자
0경상북도영덕군동해부동산중개인사무소054-733-5097경상북도 영덕군 강구면 동해대로 44742023-08-21
1경상북도영덕군동북부동산중개인사무소054-733-0890경상북도 영덕군 강구면 동해대로 45042023-08-21
2경상북도영덕군영덕공인중개사사무소054-733-9631경상북도 영덕군 영덕읍 남석길 682023-08-21
3경상북도영덕군신세계공인중개사사무소054-733-1066경상북도 영덕군 영해면 연평3길 22023-08-21
4경상북도영덕군미래공인중개사사무소<NA>경상북도 영덕군 병곡면 영4길 64-172023-08-21
5경상북도영덕군동해바다공인중개사무소054-734-2155경상북도 영덕군 강구면 동해대로 45032023-08-21
6경상북도영덕군터미널공인중개사사무소054-733-7007경상북도 영덕군 영덕읍 군청길 582023-08-21
7경상북도영덕군대한공인중개사사무소054-732-5678경상북도 영덕군 영덕읍 읍사무소1길 8-23 1층2023-08-21
8경상북도영덕군대명공인중개사사무소054-733-6006경상북도 영덕군 병곡면 병곡길 46-92023-08-21
9경상북도영덕군김일권공인중개사사무소054-732-5665경상북도 영덕군 강구면 동해대로 43082023-08-21
시도시군구사무소명사무소전화번호사무소주소(도로명)데이터기준일자
21경상북도영덕군강산부동산공인중개사무소<NA>경상북도 영덕군 강구면 영덕대게로 1-192023-08-21
22경상북도영덕군만세공인중개사사무소054-732-1619경상북도 영덕군 영해면 예주목은길 96 나동2023-08-21
23경상북도영덕군롯데공인중개사사무소054-732-8284경상북도 영덕군 영덕읍 영덕로 362023-08-21
24경상북도영덕군영해공인중개사 사무소<NA>경상북도 영덕군 영해면 예주목은길 1442023-08-21
25경상북도영덕군하나공인중개사 사무소<NA>경상북도 영덕군 영덕읍 덕곡2길 242023-08-21
26경상북도영덕군강남공인중개사사무소<NA>경상북도 영덕군 영덕읍 영덕로 1272023-08-21
27경상북도영덕군부동산을 읽어주는 남자 공인중개사사무소<NA>경상북도 영덕군 강구면 오포길 372023-08-21
28경상북도영덕군굿모닝공인중개사사무소<NA>경상북도 영덕군 영덕읍 읍사무소길 6-5 1층2023-08-21
29경상북도영덕군글로벌공인중개사사무소<NA>경상북도 영덕군 영덕읍 도매샛길 41-82023-08-21
30경상북도영덕군강구부동산중개사무소<NA>경상북도 영덕군 강구면 나비산길 72023-08-21