Overview

Dataset statistics

Number of variables8
Number of observations735
Missing cells298
Missing cells (%)5.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory46.1 KiB
Average record size in memory64.2 B

Variable types

Categorical3
Text5

Dataset

Description대구광역시 동구 관내 부동산중개업소 현황 데이터입니다. 이데이터는 등록번호, 행정처분상태, 사무소명, 중개업자명, 중개업자구분, 전화번호, 주소 등의 항목을 포함하고 있습니다.
Author대구광역시 동구
URLhttps://www.data.go.kr/data/3075341/fileData.do

Alerts

시군구 has constant value ""Constant
행정처분상태 is highly imbalanced (94.1%)Imbalance
중개업자구분 is highly imbalanced (89.5%)Imbalance
사무소전화번호 has 298 (40.5%) missing valuesMissing
등록번호 has unique valuesUnique
사무소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:09:43.584828
Analysis finished2023-12-12 17:09:44.281452
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
대구광역시 동구
735 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 동구
2nd row대구광역시 동구
3rd row대구광역시 동구
4th row대구광역시 동구
5th row대구광역시 동구

Common Values

ValueCountFrequency (%)
대구광역시 동구 735
100.0%

Length

2023-12-13T02:09:44.338236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:09:44.436651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 735
50.0%
동구 735
50.0%

등록번호
Text

UNIQUE 

Distinct735
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2023-12-13T02:09:44.633246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length14.296599
Min length8

Characters and Unicode

Total characters10508
Distinct characters15
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique735 ?
Unique (%)100.0%

Sample

1st row가-12-316
2nd row가-12-299
3rd row가-12-417
4th row가-12-499
5th row가-12-672
ValueCountFrequency (%)
가-12-316 1
 
0.1%
27140-2021-00055 1
 
0.1%
27140-2021-00004 1
 
0.1%
27140-2021-00009 1
 
0.1%
27140-2021-00017 1
 
0.1%
27140-2021-00020 1
 
0.1%
27140-2021-00027 1
 
0.1%
27140-2021-00028 1
 
0.1%
27140-2021-00031 1
 
0.1%
27140-2021-00032 1
 
0.1%
Other values (725) 725
98.6%
2023-12-13T02:09:44.989605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2829
26.9%
2 1950
18.6%
1 1501
14.3%
- 1468
14.0%
7 754
 
7.2%
4 720
 
6.9%
3 266
 
2.5%
8 237
 
2.3%
9 224
 
2.1%
6 202
 
1.9%
Other values (5) 357
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8862
84.3%
Dash Punctuation 1468
 
14.0%
Other Letter 175
 
1.7%
Other Punctuation 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2829
31.9%
2 1950
22.0%
1 1501
16.9%
7 754
 
8.5%
4 720
 
8.1%
3 266
 
3.0%
8 237
 
2.7%
9 224
 
2.5%
6 202
 
2.3%
5 179
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 1468
100.0%
Other Letter
ValueCountFrequency (%)
가 175
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10332
98.3%
Hangul 175
 
1.7%
Latin 1
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2829
27.4%
2 1950
18.9%
1 1501
14.5%
- 1468
14.2%
7 754
 
7.3%
4 720
 
7.0%
3 266
 
2.6%
8 237
 
2.3%
9 224
 
2.2%
6 202
 
2.0%
Other values (3) 181
 
1.8%
Hangul
ValueCountFrequency (%)
가 175
100.0%
Latin
ValueCountFrequency (%)
E 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10333
98.3%
Hangul 175
 
1.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2829
27.4%
2 1950
18.9%
1 1501
14.5%
- 1468
14.2%
7 754
 
7.3%
4 720
 
7.0%
3 266
 
2.6%
8 237
 
2.3%
9 224
 
2.2%
6 202
 
2.0%
Other values (4) 182
 
1.8%
Hangul
ValueCountFrequency (%)
가 175
100.0%

행정처분상태
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
영업중
730 
휴업
 
5

Length

Max length3
Median length3
Mean length2.9931973
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 730
99.3%
휴업 5
 
0.7%

Length

2023-12-13T02:09:45.124303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:09:45.226588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 730
99.3%
휴업 5
 
0.7%

사무소명
Text

UNIQUE 

Distinct735
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2023-12-13T02:09:45.442979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length11.540136
Min length6

Characters and Unicode

Total characters8482
Distinct characters383
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique735 ?
Unique (%)100.0%

Sample

1st row동아부동산중개인사무소
2nd row학사부동산중개인사무소
3rd row새동신부동산중개인사무소
4th row팔공부동산중개사사무소
5th row삼부공인중개사사무소
ValueCountFrequency (%)
동아부동산중개인사무소 1
 
0.1%
지묘한백공인중개사사무소 1
 
0.1%
찐부동산공인중개사사무소 1
 
0.1%
품격공인중개사사무소 1
 
0.1%
세명공인중개사사무소 1
 
0.1%
신대성공인중개사사무소 1
 
0.1%
황금엘크루공인중개사사무소 1
 
0.1%
월가탑부동산중개 1
 
0.1%
연꽃공인중개사사무소 1
 
0.1%
더베스트미소공인중개사사무소 1
 
0.1%
Other values (725) 725
98.6%
2023-12-13T02:09:45.835739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 1295
15.3%
중 737
 
8.7%
개 737
 
8.7%
소 658
 
7.8%
무 656
 
7.7%
인 636
 
7.5%
공 625
 
7.4%
동 259
 
3.1%
부 218
 
2.6%
산 216
 
2.5%
Other values (373) 2445
28.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8328
98.2%
Uppercase Letter 64
 
0.8%
Lowercase Letter 40
 
0.5%
Decimal Number 25
 
0.3%
Space Separator 9
 
0.1%
Open Punctuation 6
 
0.1%
Close Punctuation 6
 
0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1295
15.5%
중 737
 
8.8%
개 737
 
8.8%
소 658
 
7.9%
무 656
 
7.9%
인 636
 
7.6%
공 625
 
7.5%
동 259
 
3.1%
부 218
 
2.6%
산 216
 
2.6%
Other values (327) 2291
27.5%
Uppercase Letter
ValueCountFrequency (%)
T 12
18.8%
K 8
12.5%
N 6
9.4%
O 5
7.8%
E 4
 
6.2%
S 4
 
6.2%
A 4
 
6.2%
H 3
 
4.7%
J 3
 
4.7%
R 3
 
4.7%
Other values (9) 12
18.8%
Lowercase Letter
ValueCountFrequency (%)
e 15
37.5%
h 5
 
12.5%
n 3
 
7.5%
w 3
 
7.5%
u 2
 
5.0%
a 2
 
5.0%
r 2
 
5.0%
i 2
 
5.0%
f 1
 
2.5%
t 1
 
2.5%
Other values (4) 4
 
10.0%
Decimal Number
ValueCountFrequency (%)
1 6
24.0%
8 4
16.0%
4 3
12.0%
2 3
12.0%
0 3
12.0%
3 2
 
8.0%
5 2
 
8.0%
6 1
 
4.0%
9 1
 
4.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8326
98.2%
Latin 104
 
1.2%
Common 50
 
0.6%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1295
15.6%
중 737
 
8.9%
개 737
 
8.9%
소 658
 
7.9%
무 656
 
7.9%
인 636
 
7.6%
공 625
 
7.5%
동 259
 
3.1%
부 218
 
2.6%
산 216
 
2.6%
Other values (325) 2289
27.5%
Latin
ValueCountFrequency (%)
e 15
 
14.4%
T 12
 
11.5%
K 8
 
7.7%
N 6
 
5.8%
h 5
 
4.8%
O 5
 
4.8%
E 4
 
3.8%
S 4
 
3.8%
A 4
 
3.8%
n 3
 
2.9%
Other values (23) 38
36.5%
Common
ValueCountFrequency (%)
9
18.0%
( 6
12.0%
) 6
12.0%
1 6
12.0%
8 4
8.0%
- 4
8.0%
4 3
 
6.0%
2 3
 
6.0%
0 3
 
6.0%
3 2
 
4.0%
Other values (3) 4
8.0%
Han
ValueCountFrequency (%)
大 1
50.0%
源 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8326
98.2%
ASCII 154
 
1.8%
CJK 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 1295
15.6%
중 737
 
8.9%
개 737
 
8.9%
소 658
 
7.9%
무 656
 
7.9%
인 636
 
7.6%
공 625
 
7.5%
동 259
 
3.1%
부 218
 
2.6%
산 216
 
2.6%
Other values (325) 2289
27.5%
ASCII
ValueCountFrequency (%)
e 15
 
9.7%
T 12
 
7.8%
9
 
5.8%
K 8
 
5.2%
N 6
 
3.9%
( 6
 
3.9%
) 6
 
3.9%
1 6
 
3.9%
h 5
 
3.2%
O 5
 
3.2%
Other values (36) 76
49.4%
CJK
ValueCountFrequency (%)
大 1
50.0%
源 1
50.0%

중개업자명
Text

Distinct710
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2023-12-13T02:09:46.221374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9931973
Min length2

Characters and Unicode

Total characters2200
Distinct characters180
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

Unique686 ?
Unique (%)93.3%

Sample

1st row이해점
2nd row황윤식
3rd row장태용
4th row정종한
5th row구영철
ValueCountFrequency (%)
김재홍 3
 
0.4%
김미경 2
 
0.3%
오정화 2
 
0.3%
이미정 2
 
0.3%
김선희 2
 
0.3%
이미라 2
 
0.3%
이진영 2
 
0.3%
이수진 2
 
0.3%
김경애 2
 
0.3%
김영미 2
 
0.3%
Other values (700) 714
97.1%
2023-12-13T02:09:46.919410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 146
 
6.6%
정 112
 
5.1%
이 105
 
4.8%
영 64
 
2.9%
박 62
 
2.8%
희 60
 
2.7%
경 57
 
2.6%
미 56
 
2.5%
현 51
 
2.3%
숙 50
 
2.3%
Other values (170) 1437
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2200
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 146
 
6.6%
정 112
 
5.1%
이 105
 
4.8%
영 64
 
2.9%
박 62
 
2.8%
희 60
 
2.7%
경 57
 
2.6%
미 56
 
2.5%
현 51
 
2.3%
숙 50
 
2.3%
Other values (170) 1437
65.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2200
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 146
 
6.6%
정 112
 
5.1%
이 105
 
4.8%
영 64
 
2.9%
박 62
 
2.8%
희 60
 
2.7%
경 57
 
2.6%
미 56
 
2.5%
현 51
 
2.3%
숙 50
 
2.3%
Other values (170) 1437
65.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2200
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 146
 
6.6%
정 112
 
5.1%
이 105
 
4.8%
영 64
 
2.9%
박 62
 
2.8%
희 60
 
2.7%
경 57
 
2.6%
미 56
 
2.5%
현 51
 
2.3%
숙 50
 
2.3%
Other values (170) 1437
65.3%

중개업자구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
공인중개사
719 
법인
 
13
중개인
 
3

Length

Max length5
Median length5
Mean length4.9387755
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공인중개사 719
97.8%
법인 13
 
1.8%
중개인 3
 
0.4%

Length

2023-12-13T02:09:47.121014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:09:47.263339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공인중개사 719
97.8%
법인 13
 
1.8%
중개인 3
 
0.4%

사무소전화번호
Text

MISSING 

Distinct423
Distinct (%)96.8%
Missing298
Missing (%)40.5%
Memory size5.9 KiB
2023-12-13T02:09:47.482444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters5244
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

Unique411 ?
Unique (%)94.1%

Sample

1st row053-958-2000
2nd row053-956-0655
3rd row053-957-0901
4th row053-983-8668
5th row053-742-8086
ValueCountFrequency (%)
053-945-0999 4
 
0.9%
053-768-8700 2
 
0.5%
053-965-9966 2
 
0.5%
053-986-1117 2
 
0.5%
053-944-8945 2
 
0.5%
053-472-6300 2
 
0.5%
053-382-5949 2
 
0.5%
053-942-4466 2
 
0.5%
053-985-9300 2
 
0.5%
053-216-3131 2
 
0.5%
Other values (413) 415
95.0%
2023-12-13T02:09:47.892107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 874
16.7%
0 828
15.8%
5 780
14.9%
3 673
12.8%
9 517
9.9%
8 331
 
6.3%
4 308
 
5.9%
6 269
 
5.1%
2 239
 
4.6%
7 217
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4370
83.3%
Dash Punctuation 874
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 828
18.9%
5 780
17.8%
3 673
15.4%
9 517
11.8%
8 331
 
7.6%
4 308
 
7.0%
6 269
 
6.2%
2 239
 
5.5%
7 217
 
5.0%
1 208
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 874
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5244
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 874
16.7%
0 828
15.8%
5 780
14.9%
3 673
12.8%
9 517
9.9%
8 331
 
6.3%
4 308
 
5.9%
6 269
 
5.1%
2 239
 
4.6%
7 217
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5244
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 874
16.7%
0 828
15.8%
5 780
14.9%
3 673
12.8%
9 517
9.9%
8 331
 
6.3%
4 308
 
5.9%
6 269
 
5.1%
2 239
 
4.6%
7 217
 
4.1%

사무소주소
Text

Distinct695
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2023-12-13T02:09:48.238616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length48
Mean length30.598639
Min length16

Characters and Unicode

Total characters22490
Distinct characters270
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique661 ?
Unique (%)89.9%

Sample

1st row대구광역시 동구 아양로11길 23 (신암동)
2nd row대구광역시 동구 효동로 23 (효목동)
3rd row대구광역시 동구 신암남로27길 80 (신암동)
4th row대구광역시 동구 파계로 497 (중대동)
5th row대구광역시 동구 동대구로 449 (신천동)
ValueCountFrequency (%)
대구광역시 735
 
17.1%
동구 735
 
17.1%
신암동 73
 
1.7%
신천동 44
 
1.0%
상가 38
 
0.9%
1층 36
 
0.8%
301동 30
 
0.7%
상가동 29
 
0.7%
큰고개로 27
 
0.6%
효목동 26
 
0.6%
Other values (934) 2531
58.8%
2023-12-13T02:09:48.707091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3612
 
16.1%
동 1953
 
8.7%
구 1564
 
7.0%
1 1186
 
5.3%
대 847
 
3.8%
시 796
 
3.5%
역 768
 
3.4%
로 764
 
3.4%
광 735
 
3.3%
) 679
 
3.0%
Other values (260) 9586
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13080
58.2%
Decimal Number 4055
 
18.0%
Space Separator 3612
 
16.1%
Close Punctuation 679
 
3.0%
Open Punctuation 678
 
3.0%
Other Punctuation 256
 
1.1%
Dash Punctuation 82
 
0.4%
Uppercase Letter 40
 
0.2%
Lowercase Letter 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1953
14.9%
구 1564
 
12.0%
대 847
 
6.5%
시 796
 
6.1%
역 768
 
5.9%
로 764
 
5.8%
광 735
 
5.6%
신 445
 
3.4%
호 411
 
3.1%
길 335
 
2.6%
Other values (230) 4462
34.1%
Decimal Number
ValueCountFrequency (%)
1 1186
29.2%
0 626
15.4%
2 497
12.3%
3 451
 
11.1%
5 291
 
7.2%
4 235
 
5.8%
6 232
 
5.7%
7 223
 
5.5%
8 170
 
4.2%
9 144
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
A 12
30.0%
L 6
15.0%
H 6
15.0%
D 5
12.5%
B 4
 
10.0%
C 2
 
5.0%
M 2
 
5.0%
S 2
 
5.0%
E 1
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
p 2
25.0%
e 2
25.0%
a 1
12.5%
s 1
12.5%
t 1
12.5%
l 1
12.5%
Space Separator
ValueCountFrequency (%)
3612
100.0%
Close Punctuation
ValueCountFrequency (%)
) 679
100.0%
Open Punctuation
ValueCountFrequency (%)
( 678
100.0%
Other Punctuation
ValueCountFrequency (%)
, 256
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13080
58.2%
Common 9362
41.6%
Latin 48
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1953
14.9%
구 1564
 
12.0%
대 847
 
6.5%
시 796
 
6.1%
역 768
 
5.9%
로 764
 
5.8%
광 735
 
5.6%
신 445
 
3.4%
호 411
 
3.1%
길 335
 
2.6%
Other values (230) 4462
34.1%
Common
ValueCountFrequency (%)
3612
38.6%
1 1186
 
12.7%
) 679
 
7.3%
( 678
 
7.2%
0 626
 
6.7%
2 497
 
5.3%
3 451
 
4.8%
5 291
 
3.1%
, 256
 
2.7%
4 235
 
2.5%
Other values (5) 851
 
9.1%
Latin
ValueCountFrequency (%)
A 12
25.0%
L 6
12.5%
H 6
12.5%
D 5
10.4%
B 4
 
8.3%
C 2
 
4.2%
p 2
 
4.2%
e 2
 
4.2%
M 2
 
4.2%
S 2
 
4.2%
Other values (5) 5
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13080
58.2%
ASCII 9410
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3612
38.4%
1 1186
 
12.6%
) 679
 
7.2%
( 678
 
7.2%
0 626
 
6.7%
2 497
 
5.3%
3 451
 
4.8%
5 291
 
3.1%
, 256
 
2.7%
4 235
 
2.5%
Other values (20) 899
 
9.6%
Hangul
ValueCountFrequency (%)
동 1953
14.9%
구 1564
 
12.0%
대 847
 
6.5%
시 796
 
6.1%
역 768
 
5.9%
로 764
 
5.8%
광 735
 
5.6%
신 445
 
3.4%
호 411
 
3.1%
길 335
 
2.6%
Other values (230) 4462
34.1%

Correlations

2023-12-13T02:09:48.802943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정처분상태중개업자구분
행정처분상태1.0000.000
중개업자구분0.0001.000
2023-12-13T02:09:48.879968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
중개업자구분행정처분상태
중개업자구분1.0000.000
행정처분상태0.0001.000
2023-12-13T02:09:48.975817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정처분상태중개업자구분
행정처분상태1.0000.000
중개업자구분0.0001.000

Missing values

2023-12-13T02:09:44.120089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:09:44.237895image/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

시군구등록번호행정처분상태사무소명중개업자명중개업자구분사무소전화번호사무소주소
0대구광역시 동구가-12-316영업중동아부동산중개인사무소이해점중개인053-958-2000대구광역시 동구 아양로11길 23 (신암동)
1대구광역시 동구가-12-299영업중학사부동산중개인사무소황윤식중개인053-956-0655대구광역시 동구 효동로 23 (효목동)
2대구광역시 동구가-12-417영업중새동신부동산중개인사무소장태용중개인053-957-0901대구광역시 동구 신암남로27길 80 (신암동)
3대구광역시 동구가-12-499영업중팔공부동산중개사사무소정종한공인중개사053-983-8668대구광역시 동구 파계로 497 (중대동)
4대구광역시 동구가-12-672영업중삼부공인중개사사무소구영철공인중개사053-742-8086대구광역시 동구 동대구로 449 (신천동)
5대구광역시 동구가-12-767영업중대진부동산중개사무소강문규공인중개사053-957-6321대구광역시 동구 아양로 170 1층(신암동)
6대구광역시 동구가-12-772영업중대성공인중개사사무소오상은공인중개사053-962-4003대구광역시 동구 아양로 172 (신암동)
7대구광역시 동구가-12-818영업중신대진부동산중개사무소윤영혁공인중개사053-957-8334대구광역시 동구 해동로 15 1층(지저동)
8대구광역시 동구가-12-837영업중강변공인중개사사무소유병호공인중개사053-965-8949대구광역시 동구 화랑로100길 17 동서강변상가 111호(용계동)
9대구광역시 동구가-12-839영업중해광공인중개사사무소김기수공인중개사053-425-2822대구광역시 동구 아양로40길 1 (효목동)
시군구등록번호행정처분상태사무소명중개업자명중개업자구분사무소전화번호사무소주소
725대구광역시 동구27140-2019-00178영업중주식회사안심연합공인중개사사무소김형주법인053-965-0777대구광역시 동구 반야월로 401 (신서동)
726대구광역시 동구가-12-2101영업중동경부동산중개주식회사금각연법인<NA>대구광역시 동구 동대구로 523 (신천동)
727대구광역시 동구27140-2022-00128영업중주식회사케이알부동산중개법인이용수법인<NA>대구광역시 동구 안심로73길 22 상가동 209호(신서동, 신서롯데캐슬레전드)
728대구광역시 동구27140-2022-00027영업중주식회사유니온부동산중개법인최종삼법인053-752-1117대구광역시 동구 화랑로 9 1층(신천동)
729대구광역시 동구27140-2022-00043영업중더원부동산중개법인주식회사하정훈법인<NA>대구광역시 동구 신암북로 6 (신암동)
730대구광역시 동구27140-2018-00109영업중주식회사신대양부동산중개김신호법인053-756-6900대구광역시 동구 아양로50길 88
731대구광역시 동구27140-2022-00073영업중동행법인부동산중개주식회사허종욱법인053-744-6767대구광역시 동구 동대구로 523 2층(신천동)
732대구광역시 동구27140-2021-00086영업중주식회사대구종합부동산중개차덕준법인<NA>대구광역시 동구 효신로 14-2 1층(효목동)
733대구광역시 동구27140-2022-00110영업중주식회사부동산중개법인정승정지원법인<NA>대구광역시 동구 율하동로23길 60 1층(율하동)
734대구광역시 동구27140-2022-00133영업중주식회사온더탑부동산중개법인유나경법인053-963-2700대구광역시 동구 안심로90길 29 401호(괴전동, 한영제네스)