Overview

Dataset statistics

Number of variables7
Number of observations56
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory58.4 B

Variable types

Text5
Categorical2

Dataset

Description전라북도 부안군 부동산중개업 현황을 상호명, 등록번호, 영업구분, 대표자명, 중개업자 구분, 사무소전화번호, 소재지 등의 항목으로 제공합니다.
URLhttps://www.data.go.kr/data/15102119/fileData.do

Alerts

영업구분 has constant value ""Constant
중개업자구분 is highly imbalanced (87.1%)Imbalance
상호명 has unique valuesUnique
등록번호 has unique valuesUnique
대표자명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:26:57.918959
Analysis finished2023-12-12 15:26:58.698657
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호명
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-13T00:26:58.923683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length11.071429
Min length8

Characters and Unicode

Total characters620
Distinct characters102
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 row부안공인중개사사무소
2nd row새만금공인중개사사무소
3rd row신도시공인중개사사무소
4th row부안1등공인중개사사무소
5th row이상열공인중개사사무소
ValueCountFrequency (%)
부안공인중개사사무소 1
 
1.7%
새만금부동산공인중개사사무소 1
 
1.7%
변산새벽공인중개사사무소 1
 
1.7%
황제공인중개사사무소 1
 
1.7%
땅다방공인중개사사무소 1
 
1.7%
대림공인중개사사무소 1
 
1.7%
계화공인중개사사무소 1
 
1.7%
박종래공인중개사사무소 1
 
1.7%
새만금행복부동산공인중개사사무소 1
 
1.7%
형통공인중개사사무소 1
 
1.7%
Other values (48) 48
82.8%
2023-12-13T00:26:59.409723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 109
17.6%
인 57
 
9.2%
개 57
 
9.2%
중 56
 
9.0%
무 55
 
8.9%
소 55
 
8.9%
공 54
 
8.7%
부 10
 
1.6%
산 10
 
1.6%
새 10
 
1.6%
Other values (92) 147
23.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 617
99.5%
Space Separator 2
 
0.3%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 109
17.7%
인 57
 
9.2%
개 57
 
9.2%
중 56
 
9.1%
무 55
 
8.9%
소 55
 
8.9%
공 54
 
8.8%
부 10
 
1.6%
산 10
 
1.6%
새 10
 
1.6%
Other values (90) 144
23.3%
Space Separator
ValueCountFrequency (%)
2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 617
99.5%
Common 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 109
17.7%
인 57
 
9.2%
개 57
 
9.2%
중 56
 
9.1%
무 55
 
8.9%
소 55
 
8.9%
공 54
 
8.8%
부 10
 
1.6%
산 10
 
1.6%
새 10
 
1.6%
Other values (90) 144
23.3%
Common
ValueCountFrequency (%)
2
66.7%
1 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 617
99.5%
ASCII 3
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 109
17.7%
인 57
 
9.2%
개 57
 
9.2%
중 56
 
9.1%
무 55
 
8.9%
소 55
 
8.9%
공 54
 
8.8%
부 10
 
1.6%
산 10
 
1.6%
새 10
 
1.6%
Other values (90) 144
23.3%
ASCII
ValueCountFrequency (%)
2
66.7%
1 1
33.3%

등록번호
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-13T00:26:59.742068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length12.625
Min length8

Characters and Unicode

Total characters707
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 row가1713-19
2nd row가1713-54
3rd row가1713-60
4th row가1713-69
5th row가1713-94
ValueCountFrequency (%)
가1713-19 1
 
1.8%
가1713-54 1
 
1.8%
45800-2018-00012 1
 
1.8%
45800-2016-00009 1
 
1.8%
45800-2016-00010 1
 
1.8%
45800-2017-00001 1
 
1.8%
45800-2017-00004 1
 
1.8%
45800-2017-00006 1
 
1.8%
45800-2017-00010 1
 
1.8%
45800-2017-00005 1
 
1.8%
Other values (46) 46
82.1%
2023-12-13T00:27:00.244018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 212
30.0%
1 111
15.7%
- 86
12.2%
8 45
 
6.4%
4 42
 
5.9%
2 42
 
5.9%
7 40
 
5.7%
5 40
 
5.7%
3 30
 
4.2%
가 25
 
3.5%
Other values (3) 34
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 595
84.2%
Dash Punctuation 86
 
12.2%
Other Letter 26
 
3.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 212
35.6%
1 111
18.7%
8 45
 
7.6%
4 42
 
7.1%
2 42
 
7.1%
7 40
 
6.7%
5 40
 
6.7%
3 30
 
5.0%
6 19
 
3.2%
9 14
 
2.4%
Other Letter
ValueCountFrequency (%)
가 25
96.2%
나 1
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 681
96.3%
Hangul 26
 
3.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 212
31.1%
1 111
16.3%
- 86
12.6%
8 45
 
6.6%
4 42
 
6.2%
2 42
 
6.2%
7 40
 
5.9%
5 40
 
5.9%
3 30
 
4.4%
6 19
 
2.8%
Hangul
ValueCountFrequency (%)
가 25
96.2%
나 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 681
96.3%
Hangul 26
 
3.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 212
31.1%
1 111
16.3%
- 86
12.6%
8 45
 
6.6%
4 42
 
6.2%
2 42
 
6.2%
7 40
 
5.9%
5 40
 
5.9%
3 30
 
4.4%
6 19
 
2.8%
Hangul
ValueCountFrequency (%)
가 25
96.2%
나 1
 
3.8%

영업구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size580.0 B
영업중
56 

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 56
100.0%

Length

2023-12-13T00:27:00.367432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:27:00.450336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 56
100.0%

대표자명
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-13T00:27:00.658022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9642857
Min length2

Characters and Unicode

Total characters166
Distinct characters79
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 row서인복
2nd row방기봉
3rd row이승래
4th row박성희
5th row이상열
ValueCountFrequency (%)
서인복 1
 
1.8%
방기봉 1
 
1.8%
김형섭 1
 
1.8%
이환정 1
 
1.8%
박재순 1
 
1.8%
김갑종 1
 
1.8%
박종래 1
 
1.8%
한반도 1
 
1.8%
강형석 1
 
1.8%
최현 1
 
1.8%
Other values (46) 46
82.1%
2023-12-13T00:27:01.003328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 13
 
7.8%
이 10
 
6.0%
박 7
 
4.2%
최 7
 
4.2%
재 5
 
3.0%
성 5
 
3.0%
정 4
 
2.4%
준 4
 
2.4%
영 4
 
2.4%
종 3
 
1.8%
Other values (69) 104
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 166
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 13
 
7.8%
이 10
 
6.0%
박 7
 
4.2%
최 7
 
4.2%
재 5
 
3.0%
성 5
 
3.0%
정 4
 
2.4%
준 4
 
2.4%
영 4
 
2.4%
종 3
 
1.8%
Other values (69) 104
62.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 166
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 13
 
7.8%
이 10
 
6.0%
박 7
 
4.2%
최 7
 
4.2%
재 5
 
3.0%
성 5
 
3.0%
정 4
 
2.4%
준 4
 
2.4%
영 4
 
2.4%
종 3
 
1.8%
Other values (69) 104
62.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 166
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 13
 
7.8%
이 10
 
6.0%
박 7
 
4.2%
최 7
 
4.2%
재 5
 
3.0%
성 5
 
3.0%
정 4
 
2.4%
준 4
 
2.4%
영 4
 
2.4%
종 3
 
1.8%
Other values (69) 104
62.7%

중개업자구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
공인중개사
55 
중개인
 
1

Length

Max length5
Median length5
Mean length4.9642857
Min length3

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
공인중개사 55
98.2%
중개인 1
 
1.8%

Length

2023-12-13T00:27:01.138011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:27:01.256654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공인중개사 55
98.2%
중개인 1
 
1.8%

사무소전화번호
Text

Distinct55
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-13T00:27:01.441475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters672
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

Unique54 ?
Unique (%)96.4%

Sample

1st row063-583-8228
2nd row063-584-5996
3rd row063-581-4986
4th row063-581-8007
5th row063-581-8966
ValueCountFrequency (%)
063-584-3399 2
 
3.6%
063-581-2557 1
 
1.8%
063-583-7772 1
 
1.8%
063-584-9846 1
 
1.8%
063-583-8330 1
 
1.8%
063-581-6663 1
 
1.8%
063-584-3116 1
 
1.8%
063-584-7677 1
 
1.8%
063-583-6100 1
 
1.8%
063-581-5453 1
 
1.8%
Other values (45) 45
80.4%
2023-12-13T00:27:02.052042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 112
16.7%
8 87
12.9%
0 86
12.8%
3 82
12.2%
6 81
12.1%
5 80
11.9%
4 45
6.7%
1 34
 
5.1%
9 24
 
3.6%
2 22
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 560
83.3%
Dash Punctuation 112
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 87
15.5%
0 86
15.4%
3 82
14.6%
6 81
14.5%
5 80
14.3%
4 45
8.0%
1 34
 
6.1%
9 24
 
4.3%
2 22
 
3.9%
7 19
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 672
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 112
16.7%
8 87
12.9%
0 86
12.8%
3 82
12.2%
6 81
12.1%
5 80
11.9%
4 45
6.7%
1 34
 
5.1%
9 24
 
3.6%
2 22
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 672
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 112
16.7%
8 87
12.9%
0 86
12.8%
3 82
12.2%
6 81
12.1%
5 80
11.9%
4 45
6.7%
1 34
 
5.1%
9 24
 
3.6%
2 22
 
3.3%

소재지
Text

Distinct53
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-13T00:27:02.319859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length30
Mean length21.375
Min length19

Characters and Unicode

Total characters1197
Distinct characters64
Distinct categories5 ?
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 row전라북도 부안군 줄포면 줄포중앙로 34-1
2nd row전라북도 부안군 부안읍 석정로 133
3rd row전라북도 부안군 부안읍 석정로 207
4th row전라북도 부안군 부안읍 번영로 201
5th row전라북도 부안군 부안읍 석정로 144
ValueCountFrequency (%)
전라북도 56
19.1%
부안군 56
19.1%
부안읍 41
14.0%
번영로 14
 
4.8%
석정로 9
 
3.1%
변산면 7
 
2.4%
오리정로 5
 
1.7%
75 4
 
1.4%
계화면 4
 
1.4%
간재로 4
 
1.4%
Other values (77) 93
31.7%
2023-12-13T00:27:02.711149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
237
19.8%
부 98
 
8.2%
안 97
 
8.1%
군 58
 
4.8%
도 57
 
4.8%
전 56
 
4.7%
북 56
 
4.7%
라 56
 
4.7%
1 54
 
4.5%
로 47
 
3.9%
Other values (54) 381
31.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 763
63.7%
Space Separator 237
 
19.8%
Decimal Number 179
 
15.0%
Dash Punctuation 10
 
0.8%
Other Punctuation 8
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 98
12.8%
안 97
12.7%
군 58
 
7.6%
도 57
 
7.5%
전 56
 
7.3%
북 56
 
7.3%
라 56
 
7.3%
로 47
 
6.2%
읍 41
 
5.4%
산 15
 
2.0%
Other values (41) 182
23.9%
Decimal Number
ValueCountFrequency (%)
1 54
30.2%
2 27
15.1%
4 19
 
10.6%
3 15
 
8.4%
7 14
 
7.8%
5 11
 
6.1%
0 11
 
6.1%
9 11
 
6.1%
6 10
 
5.6%
8 7
 
3.9%
Space Separator
ValueCountFrequency (%)
237
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 763
63.7%
Common 434
36.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 98
12.8%
안 97
12.7%
군 58
 
7.6%
도 57
 
7.5%
전 56
 
7.3%
북 56
 
7.3%
라 56
 
7.3%
로 47
 
6.2%
읍 41
 
5.4%
산 15
 
2.0%
Other values (41) 182
23.9%
Common
ValueCountFrequency (%)
237
54.6%
1 54
 
12.4%
2 27
 
6.2%
4 19
 
4.4%
3 15
 
3.5%
7 14
 
3.2%
5 11
 
2.5%
0 11
 
2.5%
9 11
 
2.5%
6 10
 
2.3%
Other values (3) 25
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 763
63.7%
ASCII 434
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
237
54.6%
1 54
 
12.4%
2 27
 
6.2%
4 19
 
4.4%
3 15
 
3.5%
7 14
 
3.2%
5 11
 
2.5%
0 11
 
2.5%
9 11
 
2.5%
6 10
 
2.3%
Other values (3) 25
 
5.8%
Hangul
ValueCountFrequency (%)
부 98
12.8%
안 97
12.7%
군 58
 
7.6%
도 57
 
7.5%
전 56
 
7.3%
북 56
 
7.3%
라 56
 
7.3%
로 47
 
6.2%
읍 41
 
5.4%
산 15
 
2.0%
Other values (41) 182
23.9%

Correlations

2023-12-13T00:27:02.815683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상호명등록번호대표자명중개업자구분사무소전화번호소재지
상호명1.0001.0001.0001.0001.0001.000
등록번호1.0001.0001.0001.0001.0001.000
대표자명1.0001.0001.0001.0001.0001.000
중개업자구분1.0001.0001.0001.0001.0001.000
사무소전화번호1.0001.0001.0001.0001.0000.990
소재지1.0001.0001.0001.0000.9901.000

Missing values

2023-12-13T00:26:58.493618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:26:58.650714image/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

상호명등록번호영업구분대표자명중개업자구분사무소전화번호소재지
0부안공인중개사사무소가1713-19영업중서인복공인중개사063-583-8228전라북도 부안군 줄포면 줄포중앙로 34-1
1새만금공인중개사사무소가1713-54영업중방기봉공인중개사063-584-5996전라북도 부안군 부안읍 석정로 133
2신도시공인중개사사무소가1713-60영업중이승래공인중개사063-581-4986전라북도 부안군 부안읍 석정로 207
3부안1등공인중개사사무소가1713-69영업중박성희공인중개사063-581-8007전라북도 부안군 부안읍 번영로 201
4이상열공인중개사사무소가1713-94영업중이상열공인중개사063-581-8966전라북도 부안군 부안읍 석정로 144
5공인중개사 김종근 사무소가1713-97영업중김종근공인중개사063-581-8908전라북도 부안군 부안읍 당산로 101
6정다운공인중개사사무소가1713-116영업중이경관공인중개사063-581-8254전라북도 부안군 부안읍 번영로 75, 101호
7희망공인중개사사무소가1713-126영업중이희준공인중개사063-582-2006전라북도 부안군 부안읍 서외2길 11
8남석공인중개사사무소가1713-146영업중박주성공인중개사063-584-6642전라북도 부안군 변산면 변산로 2489
9부동산명가공인중개사사무소가1713-147영업중김성룡공인중개사063-581-0523전라북도 부안군 부안읍 번영로 94-1
상호명등록번호영업구분대표자명중개업자구분사무소전화번호소재지
46파랑새공인중개사사무소45800-2019-00007영업중최순호공인중개사063-581-5555전라북도 부안군 부안읍 석정로 125, 주1동 1호
47럭키공인중개사사무소45800-2019-00008영업중김명준공인중개사063-582-5882전라북도 부안군 부안읍 용계길 36, 상가 3호
48알토란공인중개사사무소45800-2019-00009영업중최수연공인중개사063-583-5525전라북도 부안군 부안읍 석정로 293
49새만금노다지공인중개사사무소45800-2019-00010영업중최원하공인중개사063-584-9847전라북도 부안군 계화면 간재로 464
50길공인중개사사무소45800-2020-00001영업중김재식공인중개사063-581-8249전라북도 부안군 계화면 간재로 425
51유서연공인중개사사무소45800-2020-00003영업중유서연공인중개사063-581-8944전라북도 부안군 부안읍 석정로 125, 주4동 상가1호
52좋은집공인중개사사무소45800-2020-00004영업중민숙공인중개사063-582-6162전라북도 부안군 부안읍 오리정로 75
53명인공인중개사사무소45800-2020-00006영업중김덕곤공인중개사063-584-5151전라북도 부안군 변산면 변산해변로 794
54백년공인중개사사무소45800-2021-00007영업중신미순공인중개사063-228-7677전라북도 부안군 하서면 변산로 1278
55한빛공인중개사사무소45800-2021-00008영업중김영란공인중개사063-581-7424전라북도 부안군 부안읍 오리정로 67, 102호