Overview

Dataset statistics

Number of variables7
Number of observations21
Missing cells5
Missing cells (%)3.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory62.3 B

Variable types

DateTime1
Text5
Categorical1

Dataset

Description대구광역시 서구 부동산 중개업소 행정처분 현황입니다. 처분일, 중개소명, 주소, 대표자, 행정처분, 근거법령 등을 포함하고 있습니다.
Author대구광역시 서구
URLhttps://www.data.go.kr/data/15088147/fileData.do

Alerts

처분일 has 1 (4.8%) missing valuesMissing
중개소명 has 1 (4.8%) missing valuesMissing
주 소 has 1 (4.8%) missing valuesMissing
대표자 has 1 (4.8%) missing valuesMissing
근거법령 has 1 (4.8%) missing valuesMissing

Reproduction

Analysis started2023-12-12 15:38:53.773143
Analysis finished2023-12-12 15:38:54.475344
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

처분일
Date

MISSING 

Distinct11
Distinct (%)55.0%
Missing1
Missing (%)4.8%
Memory size300.0 B
Minimum2021-03-03 00:00:00
Maximum2022-02-18 00:00:00
2023-12-13T00:38:54.538348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:38:54.677214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

중개소명
Text

MISSING 

Distinct16
Distinct (%)80.0%
Missing1
Missing (%)4.8%
Memory size300.0 B
2023-12-13T00:38:54.888208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length11.55
Min length8

Characters and Unicode

Total characters231
Distinct characters54
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)60.0%

Sample

1st row삼흥부동산중개법인주식회사
2nd row대농부동산중개사무소
3rd row㈜삼성부동산중개
4th row㈜부동산중개법인에이원
5th row대지부동산공인중개사무소
ValueCountFrequency (%)
㈜대진부동산중개사무소 2
 
10.0%
대지부동산공인중개사무소 2
 
10.0%
mj공인중개사사무소 2
 
10.0%
오대양부동산중개주식회사 2
 
10.0%
대농부동산중개사무소 1
 
5.0%
㈜삼성부동산중개 1
 
5.0%
㈜부동산중개법인에이원 1
 
5.0%
新서대구공인중개사사무소 1
 
5.0%
동화공인중개사사무소 1
 
5.0%
미소공인중개사사무소 1
 
5.0%
Other values (6) 6
30.0%
2023-12-13T00:38:55.318040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 28
 
12.1%
중 20
 
8.7%
개 20
 
8.7%
소 16
 
6.9%
무 15
 
6.5%
인 14
 
6.1%
공 12
 
5.2%
동 11
 
4.8%
부 10
 
4.3%
산 10
 
4.3%
Other values (44) 75
32.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 217
93.9%
Uppercase Letter 6
 
2.6%
Other Symbol 4
 
1.7%
Open Punctuation 1
 
0.4%
Lowercase Letter 1
 
0.4%
Decimal Number 1
 
0.4%
Close Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 28
12.9%
중 20
 
9.2%
개 20
 
9.2%
소 16
 
7.4%
무 15
 
6.9%
인 14
 
6.5%
공 12
 
5.5%
동 11
 
5.1%
부 10
 
4.6%
산 10
 
4.6%
Other values (37) 61
28.1%
Uppercase Letter
ValueCountFrequency (%)
M 3
50.0%
J 3
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 220
95.2%
Latin 7
 
3.0%
Common 3
 
1.3%
Han 1
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 28
12.7%
중 20
 
9.1%
개 20
 
9.1%
소 16
 
7.3%
무 15
 
6.8%
인 14
 
6.4%
공 12
 
5.5%
동 11
 
5.0%
부 10
 
4.5%
산 10
 
4.5%
Other values (37) 64
29.1%
Latin
ValueCountFrequency (%)
M 3
42.9%
J 3
42.9%
e 1
 
14.3%
Common
ValueCountFrequency (%)
( 1
33.3%
1 1
33.3%
) 1
33.3%
Han
ValueCountFrequency (%)
新 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 216
93.5%
ASCII 10
 
4.3%
None 4
 
1.7%
CJK 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 28
13.0%
중 20
 
9.3%
개 20
 
9.3%
소 16
 
7.4%
무 15
 
6.9%
인 14
 
6.5%
공 12
 
5.6%
동 11
 
5.1%
부 10
 
4.6%
산 10
 
4.6%
Other values (36) 60
27.8%
None
ValueCountFrequency (%)
㈜ 4
100.0%
ASCII
ValueCountFrequency (%)
M 3
30.0%
J 3
30.0%
( 1
 
10.0%
e 1
 
10.0%
1 1
 
10.0%
) 1
 
10.0%
CJK
ValueCountFrequency (%)
新 1
100.0%

주 소
Text

MISSING 

Distinct15
Distinct (%)75.0%
Missing1
Missing (%)4.8%
Memory size300.0 B
2023-12-13T00:38:55.562147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length12
Mean length10
Min length5

Characters and Unicode

Total characters200
Distinct characters31
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

Unique12 ?
Unique (%)60.0%

Sample

1st row서구서대구로
2nd row서구서대구로
3rd row서구달구벌대로
4th row서구원대로
5th row서구서대구로
ValueCountFrequency (%)
서구서대구로 4
20.0%
서구국채보상로 2
 
10.0%
서구국채보상로50길20(223동101호 2
 
10.0%
서구달구벌대로 1
 
5.0%
서구원대로 1
 
5.0%
서구북비산로 1
 
5.0%
서구국채보상로34길 1
 
5.0%
서구서대구로98 1
 
5.0%
서구서대구로99 1
 
5.0%
서구국채보상로50길20(223동102호 1
 
5.0%
Other values (5) 5
25.0%
2023-12-13T00:38:55.931871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 29
14.5%
서 27
13.5%
로 20
 
10.0%
1 13
 
6.5%
0 10
 
5.0%
2 10
 
5.0%
대 10
 
5.0%
국 8
 
4.0%
보 8
 
4.0%
상 8
 
4.0%
Other values (21) 57
28.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 139
69.5%
Decimal Number 55
 
27.5%
Open Punctuation 3
 
1.5%
Dash Punctuation 3
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 29
20.9%
서 27
19.4%
로 20
14.4%
대 10
 
7.2%
국 8
 
5.8%
보 8
 
5.8%
상 8
 
5.8%
채 8
 
5.8%
길 5
 
3.6%
동 3
 
2.2%
Other values (9) 13
9.4%
Decimal Number
ValueCountFrequency (%)
1 13
23.6%
0 10
18.2%
2 10
18.2%
3 8
14.5%
7 5
 
9.1%
9 3
 
5.5%
5 3
 
5.5%
4 1
 
1.8%
8 1
 
1.8%
6 1
 
1.8%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 139
69.5%
Common 61
30.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 29
20.9%
서 27
19.4%
로 20
14.4%
대 10
 
7.2%
국 8
 
5.8%
보 8
 
5.8%
상 8
 
5.8%
채 8
 
5.8%
길 5
 
3.6%
동 3
 
2.2%
Other values (9) 13
9.4%
Common
ValueCountFrequency (%)
1 13
21.3%
0 10
16.4%
2 10
16.4%
3 8
13.1%
7 5
 
8.2%
9 3
 
4.9%
5 3
 
4.9%
( 3
 
4.9%
- 3
 
4.9%
4 1
 
1.6%
Other values (2) 2
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 139
69.5%
ASCII 61
30.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 29
20.9%
서 27
19.4%
로 20
14.4%
대 10
 
7.2%
국 8
 
5.8%
보 8
 
5.8%
상 8
 
5.8%
채 8
 
5.8%
길 5
 
3.6%
동 3
 
2.2%
Other values (9) 13
9.4%
ASCII
ValueCountFrequency (%)
1 13
21.3%
0 10
16.4%
2 10
16.4%
3 8
13.1%
7 5
 
8.2%
9 3
 
4.9%
5 3
 
4.9%
( 3
 
4.9%
- 3
 
4.9%
4 1
 
1.6%
Other values (2) 2
 
3.3%

대표자
Text

MISSING 

Distinct12
Distinct (%)60.0%
Missing1
Missing (%)4.8%
Memory size300.0 B
2023-12-13T00:38:56.083124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.95
Min length2

Characters and Unicode

Total characters59
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

Unique8 ?
Unique (%)40.0%

Sample

1st row이0
2nd row김00
3rd row조00
4th row서00
5th row임00
ValueCountFrequency (%)
이00 6
30.0%
서00 2
 
10.0%
임00 2
 
10.0%
신00 2
 
10.0%
이0 1
 
5.0%
김00 1
 
5.0%
조00 1
 
5.0%
최00 1
 
5.0%
채00 1
 
5.0%
서01 1
 
5.0%
Other values (2) 2
 
10.0%
2023-12-13T00:38:56.396703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 38
64.4%
이 7
 
11.9%
서 3
 
5.1%
임 2
 
3.4%
신 2
 
3.4%
김 1
 
1.7%
조 1
 
1.7%
최 1
 
1.7%
채 1
 
1.7%
1 1
 
1.7%
Other values (2) 2
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39
66.1%
Other Letter 20
33.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 7
35.0%
서 3
15.0%
임 2
 
10.0%
신 2
 
10.0%
김 1
 
5.0%
조 1
 
5.0%
최 1
 
5.0%
채 1
 
5.0%
길 1
 
5.0%
권 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
0 38
97.4%
1 1
 
2.6%

Most occurring scripts

ValueCountFrequency (%)
Common 39
66.1%
Hangul 20
33.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 7
35.0%
서 3
15.0%
임 2
 
10.0%
신 2
 
10.0%
김 1
 
5.0%
조 1
 
5.0%
최 1
 
5.0%
채 1
 
5.0%
길 1
 
5.0%
권 1
 
5.0%
Common
ValueCountFrequency (%)
0 38
97.4%
1 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39
66.1%
Hangul 20
33.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 38
97.4%
1 1
 
2.6%
Hangul
ValueCountFrequency (%)
이 7
35.0%
서 3
15.0%
임 2
 
10.0%
신 2
 
10.0%
김 1
 
5.0%
조 1
 
5.0%
최 1
 
5.0%
채 1
 
5.0%
길 1
 
5.0%
권 1
 
5.0%

행정처분(종류)
Categorical

Distinct5
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
과태료
16 
업무정지
2 
업무정지
 
1
폐업으로인한지위승계
 
1
<NA>
 
1

Length

Max length10
Median length3
Mean length3.6190476
Min length3

Unique

Unique3 ?
Unique (%)14.3%

Sample

1st row업무정지
2nd row과태료
3rd row과태료
4th row과태료
5th row과태료

Common Values

ValueCountFrequency (%)
과태료 16
76.2%
업무정지 2
 
9.5%
업무정지 1
 
4.8%
폐업으로인한지위승계 1
 
4.8%
<NA> 1
 
4.8%

Length

2023-12-13T00:38:56.592962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:38:56.758399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
과태료 16
76.2%
업무정지 3
 
14.3%
폐업으로인한지위승계 1
 
4.8%
na 1
 
4.8%

행정처분
Text

Distinct11
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-13T00:38:56.933383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length4
Mean length6.1428571
Min length1

Characters and Unicode

Total characters129
Distinct characters21
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)42.9%

Sample

1st row3개월
2nd row25만원
3rd row25만원
4th row25만원
5th row25만원
ValueCountFrequency (%)
25만원 6
30.0%
50만원 6
30.0%
3개월 1
 
5.0%
200만원 1
 
5.0%
250만원 1
 
5.0%
30만원 1
 
5.0%
2021-09-17~2021-10-16(1월 1
 
5.0%
125만원 1
 
5.0%
업무정지(3월 1
 
5.0%
2022-02-17~2022-03-31(3월 1
 
5.0%
2023-12-13T00:38:57.349234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 20
15.5%
0 18
14.0%
만 16
12.4%
원 16
12.4%
5 14
10.9%
1 9
7.0%
- 8
 
6.2%
3 6
 
4.7%
월 4
 
3.1%
( 3
 
2.3%
Other values (11) 15
11.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 71
55.0%
Other Letter 41
31.8%
Dash Punctuation 8
 
6.2%
Open Punctuation 3
 
2.3%
Close Punctuation 3
 
2.3%
Math Symbol 2
 
1.6%
Space Separator 1
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 20
28.2%
0 18
25.4%
5 14
19.7%
1 9
12.7%
3 6
 
8.5%
7 2
 
2.8%
9 1
 
1.4%
6 1
 
1.4%
Other Letter
ValueCountFrequency (%)
만 16
39.0%
원 16
39.0%
월 4
 
9.8%
무 1
 
2.4%
지 1
 
2.4%
정 1
 
2.4%
업 1
 
2.4%
개 1
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 88
68.2%
Hangul 41
31.8%

Most frequent character per script

Common
ValueCountFrequency (%)
2 20
22.7%
0 18
20.5%
5 14
15.9%
1 9
10.2%
- 8
 
9.1%
3 6
 
6.8%
( 3
 
3.4%
) 3
 
3.4%
7 2
 
2.3%
~ 2
 
2.3%
Other values (3) 3
 
3.4%
Hangul
ValueCountFrequency (%)
만 16
39.0%
원 16
39.0%
월 4
 
9.8%
무 1
 
2.4%
지 1
 
2.4%
정 1
 
2.4%
업 1
 
2.4%
개 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 88
68.2%
Hangul 41
31.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 20
22.7%
0 18
20.5%
5 14
15.9%
1 9
10.2%
- 8
 
9.1%
3 6
 
6.8%
( 3
 
3.4%
) 3
 
3.4%
7 2
 
2.3%
~ 2
 
2.3%
Other values (3) 3
 
3.4%
Hangul
ValueCountFrequency (%)
만 16
39.0%
원 16
39.0%
월 4
 
9.8%
무 1
 
2.4%
지 1
 
2.4%
정 1
 
2.4%
업 1
 
2.4%
개 1
 
2.4%

근거법령
Text

MISSING 

Distinct14
Distinct (%)70.0%
Missing1
Missing (%)4.8%
Memory size300.0 B
2023-12-13T00:38:57.629219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length18.75
Min length13

Characters and Unicode

Total characters375
Distinct characters22
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

Unique11 ?
Unique (%)55.0%

Sample

1st row공인중개사법제38조제2항및제39조제1항11호
2nd row공인중개사법(제51조제3항제2호의2)
3rd row공인중개사법(제51조제3항제2호의2)
4th row공인중개사법(제51조제3항제2호)
5th row공인중개사법(제51조제2항제1호)
ValueCountFrequency (%)
공인중개사법(제51조제3항제2호의2 6
30.0%
공인중개사법제51조제3항제2호의2 2
 
10.0%
공인중개사법(제51조제3항2호의2 2
 
10.0%
공인중개사법제38조제2항및제39조제1항11호 1
 
5.0%
공인중개사법(제51조제3항제2호 1
 
5.0%
공인중개사법(제51조제2항제1호 1
 
5.0%
공인중개사법(제51조제3항제2호2 1
 
5.0%
공인중개사법제51조제2항제1호 1
 
5.0%
공인중개사법(제51조제3항제1호 1
 
5.0%
공인중개사법(제39조제1항제14호 1
 
5.0%
Other values (3) 3
15.0%
2023-12-13T00:38:58.466854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 57
15.2%
2 28
 
7.5%
1 26
 
6.9%
항 21
 
5.6%
조 21
 
5.6%
공 20
 
5.3%
중 20
 
5.3%
개 20
 
5.3%
사 20
 
5.3%
법 20
 
5.3%
Other values (12) 122
32.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 250
66.7%
Decimal Number 96
 
25.6%
Open Punctuation 15
 
4.0%
Close Punctuation 14
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 57
22.8%
항 21
 
8.4%
조 21
 
8.4%
공 20
 
8.0%
중 20
 
8.0%
개 20
 
8.0%
사 20
 
8.0%
법 20
 
8.0%
인 20
 
8.0%
호 19
 
7.6%
Other values (2) 12
 
4.8%
Decimal Number
ValueCountFrequency (%)
2 28
29.2%
1 26
27.1%
3 17
17.7%
5 17
17.7%
9 4
 
4.2%
4 2
 
2.1%
8 1
 
1.0%
0 1
 
1.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 250
66.7%
Common 125
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 57
22.8%
항 21
 
8.4%
조 21
 
8.4%
공 20
 
8.0%
중 20
 
8.0%
개 20
 
8.0%
사 20
 
8.0%
법 20
 
8.0%
인 20
 
8.0%
호 19
 
7.6%
Other values (2) 12
 
4.8%
Common
ValueCountFrequency (%)
2 28
22.4%
1 26
20.8%
3 17
13.6%
5 17
13.6%
( 15
12.0%
) 14
11.2%
9 4
 
3.2%
4 2
 
1.6%
8 1
 
0.8%
0 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 250
66.7%
ASCII 125
33.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 57
22.8%
항 21
 
8.4%
조 21
 
8.4%
공 20
 
8.0%
중 20
 
8.0%
개 20
 
8.0%
사 20
 
8.0%
법 20
 
8.0%
인 20
 
8.0%
호 19
 
7.6%
Other values (2) 12
 
4.8%
ASCII
ValueCountFrequency (%)
2 28
22.4%
1 26
20.8%
3 17
13.6%
5 17
13.6%
( 15
12.0%
) 14
11.2%
9 4
 
3.2%
4 2
 
1.6%
8 1
 
0.8%
0 1
 
0.8%

Correlations

2023-12-13T00:38:58.616735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일중개소명주 소대표자행정처분(종류)행정처분근거법령
처분일1.0000.9710.7150.8320.0000.0000.000
중개소명0.9711.0000.8790.9770.0000.0000.000
주 소0.7150.8791.0000.8140.6870.0000.000
대표자0.8320.9770.8141.0000.2360.0000.000
행정처분(종류)0.0000.0000.6870.2361.0001.0001.000
행정처분0.0000.0000.0000.0001.0001.0000.979
근거법령0.0000.0000.0000.0001.0000.9791.000

Missing values

2023-12-13T00:38:54.116427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:38:54.246851image/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.
2023-12-13T00:38:54.382992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

처분일중개소명주 소대표자행정처분(종류)행정처분근거법령
02021-03-03삼흥부동산중개법인주식회사서구서대구로이0업무정지3개월공인중개사법제38조제2항및제39조제1항11호
12021-03-19대농부동산중개사무소서구서대구로김00과태료25만원공인중개사법(제51조제3항제2호의2)
22021-03-24㈜삼성부동산중개서구달구벌대로조00과태료25만원공인중개사법(제51조제3항제2호의2)
32021-03-24㈜부동산중개법인에이원서구원대로서00과태료25만원공인중개사법(제51조제3항제2호)
42021-04-28대지부동산공인중개사무소서구서대구로임00과태료25만원공인중개사법(제51조제2항제1호)
52021-04-28대지부동산공인중개사무소서구서대구로임00과태료200만원공인중개사법(제51조제3항제2호2)
62021-07-23新서대구공인중개사사무소서구북비산로최00과태료25만원공인중개사법(제51조제3항제2호의2)
72021-08-12동화공인중개사사무소서구국채보상로34길이00과태료50만원공인중개사법제51조제3항제2호의2
82021-08-12미소공인중개사사무소서구국채보상로채00과태료25만원공인중개사법제51조제3항제2호의2
92021-08-12㈜대진부동산중개사무소서구국채보상로이00과태료250만원공인중개사법제51조제2항제1호
처분일중개소명주 소대표자행정처분(종류)행정처분근거법령
112021-09-13오대양부동산중개주식회사서구서대구로99서01업무정지2021-09-17~2021-10-16(1월)공인중개사법(제39조제1항제14호)
122021-09-13MJ공인중개사사무소서구국채보상로50길20(223동101호이00과태료125만원공인중개사법(제51조2항제1호의5)
132021-09-13MJ공인중개사사무소서구국채보상로50길20(223동102호이00폐업으로인한지위승계업무정지(3월)공인중개사법제40조제2항
142021-09-13서대구1등공인중개사사무소서구국채보상로177-7신00과태료50만원공인중개사법(제51조제3항2호의2)
152021-09-13e편한세상두류윤솔공인중개사사무소서구통학로17-1길00과태료50만원공인중개사법(제51조제3항2호의2)
162021-11-18뉴타운태양공인중개사사무소서구서대구로173-1권00과태료50만원공인중개사법(제51조제3항제2호의2
172021-11-25명성공인중개사사무소서구달구벌대로361길10신00과태료50만원공인중개사법(제51조제3항제2호의2)
182021-12-24㈜대진부동산중개사무소서구국채보상로313이00과태료50만원공인중개사법(제51조제3항제2호의2)
192022-02-18조아공인중개사사무소(MJ)서구국채보상로50길20(223동101호이00업무정지2022-02-17~2022-03-31(3월)공인중개사법(제39조제1항제9호)
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