Overview

Dataset statistics

Number of variables4
Number of observations47
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory34.8 B

Variable types

Text4

Dataset

Description대전광역시 부동산 중개서비스 인증업소(업소명, 주소, 전화번호) 현황 입니다.
Author대전광역시
URLhttps://www.data.go.kr/data/15073577/fileData.do

Alerts

인증번호 has unique valuesUnique
업소명 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:09:20.382501
Analysis finished2023-12-12 15:09:20.846966
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인증번호
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-13T00:09:21.048372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters188
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)100.0%

Sample

1st row제01호
2nd row제03호
3rd row제04호
4th row제05호
5th row제06호
ValueCountFrequency (%)
제01호 1
 
2.1%
제33호 1
 
2.1%
제36호 1
 
2.1%
제37호 1
 
2.1%
제42호 1
 
2.1%
제39호 1
 
2.1%
제43호 1
 
2.1%
제44호 1
 
2.1%
제46호 1
 
2.1%
제38호 1
 
2.1%
Other values (37) 37
78.7%
2023-12-13T00:09:21.426914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 47
25.0%
호 47
25.0%
3 15
 
8.0%
1 12
 
6.4%
4 12
 
6.4%
0 11
 
5.9%
5 11
 
5.9%
2 11
 
5.9%
6 7
 
3.7%
8 6
 
3.2%
Other values (2) 9
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 94
50.0%
Decimal Number 94
50.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 15
16.0%
1 12
12.8%
4 12
12.8%
0 11
11.7%
5 11
11.7%
2 11
11.7%
6 7
7.4%
8 6
 
6.4%
7 5
 
5.3%
9 4
 
4.3%
Other Letter
ValueCountFrequency (%)
제 47
50.0%
호 47
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 94
50.0%
Common 94
50.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 15
16.0%
1 12
12.8%
4 12
12.8%
0 11
11.7%
5 11
11.7%
2 11
11.7%
6 7
7.4%
8 6
 
6.4%
7 5
 
5.3%
9 4
 
4.3%
Hangul
ValueCountFrequency (%)
제 47
50.0%
호 47
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 94
50.0%
ASCII 94
50.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 47
50.0%
호 47
50.0%
ASCII
ValueCountFrequency (%)
3 15
16.0%
1 12
12.8%
4 12
12.8%
0 11
11.7%
5 11
11.7%
2 11
11.7%
6 7
7.4%
8 6
 
6.4%
7 5
 
5.3%
9 4
 
4.3%

업소명
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-13T00:09:21.698494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length11.06383
Min length7

Characters and Unicode

Total characters520
Distinct characters108
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

Unique47 ?
Unique (%)100.0%

Sample

1st row대전토지로공인중개사사무소
2nd row성신공인중개사
3rd row바구니공인중개사
4th row하나컨설팅공인중개사
5th row신대륙공인중개사
ValueCountFrequency (%)
공인중개사 9
 
13.2%
사무소 8
 
11.8%
공인중개사사무소 2
 
2.9%
대전토지로공인중개사사무소 1
 
1.5%
용방마을공인중개사사무소 1
 
1.5%
정다운공인중개사사무소 1
 
1.5%
황제공인중개사사무소 1
 
1.5%
조은공인중개사사무소 1
 
1.5%
보물부동산컨설팅공인중개사사무소 1
 
1.5%
판암주공공인중개사사무소 1
 
1.5%
Other values (42) 42
61.8%
2023-12-13T00:09:22.083328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 71
13.7%
공 50
 
9.6%
인 49
 
9.4%
중 47
 
9.0%
개 47
 
9.0%
소 31
 
6.0%
무 30
 
5.8%
21
 
4.0%
마 6
 
1.2%
부 5
 
1.0%
Other values (98) 163
31.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 483
92.9%
Space Separator 21
 
4.0%
Decimal Number 15
 
2.9%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 71
14.7%
공 50
 
10.4%
인 49
 
10.1%
중 47
 
9.7%
개 47
 
9.7%
소 31
 
6.4%
무 30
 
6.2%
마 6
 
1.2%
부 5
 
1.0%
산 5
 
1.0%
Other values (90) 142
29.4%
Decimal Number
ValueCountFrequency (%)
1 5
33.3%
8 3
20.0%
4 2
 
13.3%
9 2
 
13.3%
7 2
 
13.3%
5 1
 
6.7%
Space Separator
ValueCountFrequency (%)
21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 483
92.9%
Common 37
 
7.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 71
14.7%
공 50
 
10.4%
인 49
 
10.1%
중 47
 
9.7%
개 47
 
9.7%
소 31
 
6.4%
무 30
 
6.2%
마 6
 
1.2%
부 5
 
1.0%
산 5
 
1.0%
Other values (90) 142
29.4%
Common
ValueCountFrequency (%)
21
56.8%
1 5
 
13.5%
8 3
 
8.1%
4 2
 
5.4%
9 2
 
5.4%
7 2
 
5.4%
5 1
 
2.7%
- 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 483
92.9%
ASCII 37
 
7.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 71
14.7%
공 50
 
10.4%
인 49
 
10.1%
중 47
 
9.7%
개 47
 
9.7%
소 31
 
6.4%
무 30
 
6.2%
마 6
 
1.2%
부 5
 
1.0%
산 5
 
1.0%
Other values (90) 142
29.4%
ASCII
ValueCountFrequency (%)
21
56.8%
1 5
 
13.5%
8 3
 
8.1%
4 2
 
5.4%
9 2
 
5.4%
7 2
 
5.4%
5 1
 
2.7%
- 1
 
2.7%

주소
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-13T00:09:22.368100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length42
Mean length36.148936
Min length20

Characters and Unicode

Total characters1699
Distinct characters137
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

Unique47 ?
Unique (%)100.0%

Sample

1st row대전광역시 대덕구 신탄진로844번길 5 (신탄진동 116-11)
2nd row대전광역시 중구 당디로 45 (산성동 37-1) 우성아파트 2차상가 103호
3rd row대전광역시 유성구 와룡로136번길 29 (봉산동 938-2)
4th row대전광역시 유성구 전민로6번길 19 (전민동 371-3)
5th row대전광역시 유성구 전민로 70 (전민동 303-13)
ValueCountFrequency (%)
대전광역시 47
 
13.2%
유성구 16
 
4.5%
상가 11
 
3.1%
서구 11
 
3.1%
동구 8
 
2.3%
중구 8
 
2.3%
대덕구 4
 
1.1%
월평동 4
 
1.1%
5 4
 
1.1%
봉명동 4
 
1.1%
Other values (203) 238
67.0%
2023-12-13T00:09:22.798968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
308
 
18.1%
1 96
 
5.7%
동 62
 
3.6%
대 61
 
3.6%
전 53
 
3.1%
구 49
 
2.9%
역 48
 
2.8%
시 48
 
2.8%
광 47
 
2.8%
3 47
 
2.8%
Other values (127) 880
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 879
51.7%
Decimal Number 381
22.4%
Space Separator 308
 
18.1%
Close Punctuation 45
 
2.6%
Open Punctuation 45
 
2.6%
Dash Punctuation 32
 
1.9%
Other Punctuation 5
 
0.3%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 62
 
7.1%
대 61
 
6.9%
전 53
 
6.0%
구 49
 
5.6%
역 48
 
5.5%
시 48
 
5.5%
광 47
 
5.3%
로 45
 
5.1%
가 29
 
3.3%
상 27
 
3.1%
Other values (110) 410
46.6%
Decimal Number
ValueCountFrequency (%)
1 96
25.2%
3 47
12.3%
0 45
11.8%
2 36
 
9.4%
4 36
 
9.4%
5 33
 
8.7%
7 28
 
7.3%
6 24
 
6.3%
8 18
 
4.7%
9 18
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
A 3
75.0%
B 1
 
25.0%
Space Separator
ValueCountFrequency (%)
308
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 879
51.7%
Common 816
48.0%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 62
 
7.1%
대 61
 
6.9%
전 53
 
6.0%
구 49
 
5.6%
역 48
 
5.5%
시 48
 
5.5%
광 47
 
5.3%
로 45
 
5.1%
가 29
 
3.3%
상 27
 
3.1%
Other values (110) 410
46.6%
Common
ValueCountFrequency (%)
308
37.7%
1 96
 
11.8%
3 47
 
5.8%
0 45
 
5.5%
) 45
 
5.5%
( 45
 
5.5%
2 36
 
4.4%
4 36
 
4.4%
5 33
 
4.0%
- 32
 
3.9%
Other values (5) 93
 
11.4%
Latin
ValueCountFrequency (%)
A 3
75.0%
B 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 879
51.7%
ASCII 820
48.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
308
37.6%
1 96
 
11.7%
3 47
 
5.7%
0 45
 
5.5%
) 45
 
5.5%
( 45
 
5.5%
2 36
 
4.4%
4 36
 
4.4%
5 33
 
4.0%
- 32
 
3.9%
Other values (7) 97
 
11.8%
Hangul
ValueCountFrequency (%)
동 62
 
7.1%
대 61
 
6.9%
전 53
 
6.0%
구 49
 
5.6%
역 48
 
5.5%
시 48
 
5.5%
광 47
 
5.3%
로 45
 
5.1%
가 29
 
3.3%
상 27
 
3.1%
Other values (110) 410
46.6%

전화번호
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-13T00:09:23.026322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters564
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

Unique47 ?
Unique (%)100.0%

Sample

1st row042-931-4400
2nd row042-583-3333
3rd row042-935-4800
4th row042-867-7000
5th row042-861-4944
ValueCountFrequency (%)
042-931-4400 1
 
2.1%
042-825-4900 1
 
2.1%
042-282-4499 1
 
2.1%
042-489-8885 1
 
2.1%
042-221-9185 1
 
2.1%
042-824-7799 1
 
2.1%
042-286-9100 1
 
2.1%
042-284-6200 1
 
2.1%
042-824-1253 1
 
2.1%
042-825-0114 1
 
2.1%
Other values (37) 37
78.7%
2023-12-13T00:09:23.331500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 94
16.7%
4 92
16.3%
2 90
16.0%
0 88
15.6%
8 44
7.8%
5 36
 
6.4%
3 27
 
4.8%
6 26
 
4.6%
7 26
 
4.6%
9 21
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 470
83.3%
Dash Punctuation 94
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 92
19.6%
2 90
19.1%
0 88
18.7%
8 44
9.4%
5 36
 
7.7%
3 27
 
5.7%
6 26
 
5.5%
7 26
 
5.5%
9 21
 
4.5%
1 20
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 564
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 94
16.7%
4 92
16.3%
2 90
16.0%
0 88
15.6%
8 44
7.8%
5 36
 
6.4%
3 27
 
4.8%
6 26
 
4.6%
7 26
 
4.6%
9 21
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 564
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 94
16.7%
4 92
16.3%
2 90
16.0%
0 88
15.6%
8 44
7.8%
5 36
 
6.4%
3 27
 
4.8%
6 26
 
4.6%
7 26
 
4.6%
9 21
 
3.7%

Correlations

2023-12-13T00:09:23.421521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증번호업소명주소전화번호
인증번호1.0001.0001.0001.000
업소명1.0001.0001.0001.000
주소1.0001.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2023-12-13T00:09:20.689397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:09:20.808601image/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

인증번호업소명주소전화번호
0제01호대전토지로공인중개사사무소대전광역시 대덕구 신탄진로844번길 5 (신탄진동 116-11)042-931-4400
1제03호성신공인중개사대전광역시 중구 당디로 45 (산성동 37-1) 우성아파트 2차상가 103호042-583-3333
2제04호바구니공인중개사대전광역시 유성구 와룡로136번길 29 (봉산동 938-2)042-935-4800
3제05호하나컨설팅공인중개사대전광역시 유성구 전민로6번길 19 (전민동 371-3)042-867-7000
4제06호신대륙공인중개사대전광역시 유성구 전민로 70 (전민동 303-13)042-861-4944
5제07호맑은아침공인중개사대전광역시 서구 갈마로 262 (내동 3) 맑은아침아파트 단지내상가 502동 106042-522-2114
6제08호8단지예림공인중개사대전광역시 서구 관저로 80 (관저동 1148-1) 구봉마을 8단지 상가내 105호042-542-4567
7제09호샘물타운공인중개사대전광역시 유성구 원내로 52 (원내동 394) 샘물타운 상가동 106호042-543-8980
8제11호스마트조인공인중개사대전광역시 유성구 엑스포로123번길 46-15 (도룡동 4-7) 스마트시티 상가 108호042-863-7600
9제12호명문공인중개사대전광역시 동구 동대전로 194 (자양동 51-1)042-635-3446
인증번호업소명주소전화번호
37제51호강성원 공인중개사 사무소대전광역시 대덕구 신탄진동로24번길 5 (신탄진동 156-34)042-935-4588
38제53호래미안시티 공인중개사 사무소대전광역시 서구 가장로 106 (가장동 55) 삼성래미안아파트 별리상가 101호042-532-7575
39제54호강변 공인중개사 사무소대전광역시 서구 만년로 25 (만년동 1-2) 강변아파트 상가 109호042-488-7774
40제55호부동산1588-9977공인중개사사무소대전광역시 유성구 노은동 553-8 스타돔상가 119호042-823-9114
41제57호오투제일 공인중개사 사무소대전광역시 동구 산내로 1375 (낭월동 304) 단지상가 103호042-286-7900
42제58호신화공인 공인중개사 사무소대전광역시 유성구 온천로 59 (봉명동 538-8)042-825-0580
43제59호미르마을공인중개사사무소대전광역시 중구 선화로 22번길 25, 104호(용두동, 미르마을아파트 단지상가)042-224-2800
44제60호은아랜드공인중개사사무소대전광역시 서구 벌곡로 1353번길 19, 2호(가수원동)042-382-5959
45제61호엘엔피서남부공인중개사사무소대전광역시 유성구 도안대로 587 (봉명동)042-824-3366
46제62호한미 공인중개사사무소대전광역시 유성구 봉명동 0 131, 102호(봉명동)042-822-7277