Overview

Dataset statistics

Number of variables8
Number of observations422
Missing cells316
Missing cells (%)9.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.9 KiB
Average record size in memory65.3 B

Variable types

Text5
Categorical2
Numeric1

Dataset

Description대전광역시 동구 관내 부동산 중개업소 현황으로 부동산 매매, 임대차 거래 시 중개업소를 이용하기 위한 참고자료로 활용가능
Author대전광역시 동구
URLhttps://www.data.go.kr/data/3075508/fileData.do

Alerts

행정처분상태 has constant value ""Constant
중개업소종별 is highly imbalanced (87.5%)Imbalance
사무소전화번호 has 316 (74.9%) missing valuesMissing
등록번호 has unique valuesUnique
사무소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:30:21.633852
Analysis finished2023-12-12 03:30:22.565814
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Text

UNIQUE 

Distinct422
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-12T12:30:22.794862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length12.919431
Min length4

Characters and Unicode

Total characters5452
Distinct characters14
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

Unique422 ?
Unique (%)100.0%

Sample

1st row동구-7
2nd row동구-167
3rd row동구-243
4th row동구-60
5th row동구-173
ValueCountFrequency (%)
동구-7 1
 
0.2%
30110-2019-00067 1
 
0.2%
30110-2020-00060 1
 
0.2%
30110-2020-00056 1
 
0.2%
30110-2020-00051 1
 
0.2%
30110-2020-00045 1
 
0.2%
30110-2020-00044 1
 
0.2%
30110-2020-00042 1
 
0.2%
30110-2020-00041 1
 
0.2%
30110-2020-00040 1
 
0.2%
Other values (412) 412
97.6%
2023-12-12T12:30:23.306422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1839
33.7%
1 954
17.5%
- 706
 
12.9%
2 586
 
10.7%
3 438
 
8.0%
동 138
 
2.5%
구 138
 
2.5%
4 121
 
2.2%
5 120
 
2.2%
6 113
 
2.1%
Other values (4) 299
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4469
82.0%
Dash Punctuation 706
 
12.9%
Other Letter 277
 
5.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1839
41.2%
1 954
21.3%
2 586
 
13.1%
3 438
 
9.8%
4 121
 
2.7%
5 120
 
2.7%
6 113
 
2.5%
9 107
 
2.4%
7 103
 
2.3%
8 88
 
2.0%
Other Letter
ValueCountFrequency (%)
동 138
49.8%
구 138
49.8%
호 1
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 706
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5175
94.9%
Hangul 277
 
5.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1839
35.5%
1 954
18.4%
- 706
 
13.6%
2 586
 
11.3%
3 438
 
8.5%
4 121
 
2.3%
5 120
 
2.3%
6 113
 
2.2%
9 107
 
2.1%
7 103
 
2.0%
Hangul
ValueCountFrequency (%)
동 138
49.8%
구 138
49.8%
호 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5175
94.9%
Hangul 277
 
5.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1839
35.5%
1 954
18.4%
- 706
 
13.6%
2 586
 
11.3%
3 438
 
8.5%
4 121
 
2.3%
5 120
 
2.3%
6 113
 
2.2%
9 107
 
2.1%
7 103
 
2.0%
Hangul
ValueCountFrequency (%)
동 138
49.8%
구 138
49.8%
호 1
 
0.4%

행정처분상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
영업중
422 

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 422
100.0%

Length

2023-12-12T12:30:23.527124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:30:23.689535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 422
100.0%

사무소명
Text

UNIQUE 

Distinct422
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-12T12:30:23.962401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length11.341232
Min length9

Characters and Unicode

Total characters4786
Distinct characters296
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

Unique422 ?
Unique (%)100.0%

Sample

1st row국일부동산중개사무소
2nd row고속공인중개사사무소
3rd row하나공인중개사사무소
4th row한일부동산중개인사무소
5th row성심공인중개사무소
ValueCountFrequency (%)
국일부동산중개사무소 1
 
0.2%
주공공인중개사사무소 1
 
0.2%
판암삼정일등공인중개사사무소 1
 
0.2%
뉴한빛공인중개사사무소 1
 
0.2%
탄탄공인중개사사무소 1
 
0.2%
뉴골드합동공인중개사사무소 1
 
0.2%
금탑공인중개사사무소 1
 
0.2%
the대박공인중개사사무소 1
 
0.2%
강산공인중개사사무소 1
 
0.2%
삼보공인중개사사무소 1
 
0.2%
Other values (413) 413
97.6%
2023-12-12T12:30:24.534523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 832
17.4%
중 425
 
8.9%
소 425
 
8.9%
개 422
 
8.8%
무 421
 
8.8%
인 418
 
8.7%
공 410
 
8.6%
동 61
 
1.3%
대 50
 
1.0%
산 44
 
0.9%
Other values (286) 1278
26.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4717
98.6%
Uppercase Letter 46
 
1.0%
Decimal Number 14
 
0.3%
Lowercase Letter 7
 
0.1%
Space Separator 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 832
17.6%
중 425
 
9.0%
소 425
 
9.0%
개 422
 
8.9%
무 421
 
8.9%
인 418
 
8.9%
공 410
 
8.7%
동 61
 
1.3%
대 50
 
1.1%
산 44
 
0.9%
Other values (264) 1209
25.6%
Uppercase Letter
ValueCountFrequency (%)
K 13
28.3%
S 8
17.4%
T 7
15.2%
E 5
 
10.9%
O 5
 
10.9%
H 4
 
8.7%
G 1
 
2.2%
P 1
 
2.2%
N 1
 
2.2%
W 1
 
2.2%
Decimal Number
ValueCountFrequency (%)
1 5
35.7%
2 3
21.4%
3 2
 
14.3%
4 2
 
14.3%
8 1
 
7.1%
9 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
e 3
42.9%
h 2
28.6%
i 1
 
14.3%
n 1
 
14.3%
Space Separator
ValueCountFrequency (%)
1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4717
98.6%
Latin 53
 
1.1%
Common 16
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 832
17.6%
중 425
 
9.0%
소 425
 
9.0%
개 422
 
8.9%
무 421
 
8.9%
인 418
 
8.9%
공 410
 
8.7%
동 61
 
1.3%
대 50
 
1.1%
산 44
 
0.9%
Other values (264) 1209
25.6%
Latin
ValueCountFrequency (%)
K 13
24.5%
S 8
15.1%
T 7
13.2%
E 5
 
9.4%
O 5
 
9.4%
H 4
 
7.5%
e 3
 
5.7%
h 2
 
3.8%
i 1
 
1.9%
G 1
 
1.9%
Other values (4) 4
 
7.5%
Common
ValueCountFrequency (%)
1 5
31.2%
2 3
18.8%
3 2
 
12.5%
4 2
 
12.5%
8 1
 
6.2%
9 1
 
6.2%
1
 
6.2%
- 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4717
98.6%
ASCII 69
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 832
17.6%
중 425
 
9.0%
소 425
 
9.0%
개 422
 
8.9%
무 421
 
8.9%
인 418
 
8.9%
공 410
 
8.7%
동 61
 
1.3%
대 50
 
1.1%
산 44
 
0.9%
Other values (264) 1209
25.6%
ASCII
ValueCountFrequency (%)
K 13
18.8%
S 8
11.6%
T 7
10.1%
E 5
 
7.2%
O 5
 
7.2%
1 5
 
7.2%
H 4
 
5.8%
e 3
 
4.3%
2 3
 
4.3%
3 2
 
2.9%
Other values (12) 14
20.3%

중개업소종별
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
공인중개사
410 
중개인
 
11
법인
 
1

Length

Max length5
Median length5
Mean length4.9407583
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
공인중개사 410
97.2%
중개인 11
 
2.6%
법인 1
 
0.2%

Length

2023-12-12T12:30:24.728930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:30:24.876854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공인중개사 410
97.2%
중개인 11
 
2.6%
법인 1
 
0.2%

중개업자명
Text

Distinct417
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-12T12:30:25.277104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9881517
Min length2

Characters and Unicode

Total characters1261
Distinct characters171
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

Unique412 ?
Unique (%)97.6%

Sample

1st row장희규
2nd row강완희
3rd row주흥종
4th row김병식
5th row전복순
ValueCountFrequency (%)
김영대 2
 
0.5%
이미숙 2
 
0.5%
김영근 2
 
0.5%
김영숙 2
 
0.5%
김선미 2
 
0.5%
홍정원 1
 
0.2%
조정철 1
 
0.2%
권오숙 1
 
0.2%
강미령 1
 
0.2%
김효진 1
 
0.2%
Other values (408) 408
96.5%
2023-12-12T12:30:25.804655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 83
 
6.6%
이 59
 
4.7%
정 49
 
3.9%
박 47
 
3.7%
영 46
 
3.6%
숙 27
 
2.1%
경 23
 
1.8%
희 23
 
1.8%
선 22
 
1.7%
미 22
 
1.7%
Other values (161) 860
68.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1260
99.9%
Space Separator 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 83
 
6.6%
이 59
 
4.7%
정 49
 
3.9%
박 47
 
3.7%
영 46
 
3.7%
숙 27
 
2.1%
경 23
 
1.8%
희 23
 
1.8%
선 22
 
1.7%
미 22
 
1.7%
Other values (160) 859
68.2%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1260
99.9%
Common 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 83
 
6.6%
이 59
 
4.7%
정 49
 
3.9%
박 47
 
3.7%
영 46
 
3.7%
숙 27
 
2.1%
경 23
 
1.8%
희 23
 
1.8%
선 22
 
1.7%
미 22
 
1.7%
Other values (160) 859
68.2%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1260
99.9%
ASCII 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 83
 
6.6%
이 59
 
4.7%
정 49
 
3.9%
박 47
 
3.7%
영 46
 
3.7%
숙 27
 
2.1%
경 23
 
1.8%
희 23
 
1.8%
선 22
 
1.7%
미 22
 
1.7%
Other values (160) 859
68.2%
ASCII
ValueCountFrequency (%)
1
100.0%

사무소전화번호
Text

MISSING 

Distinct106
Distinct (%)100.0%
Missing316
Missing (%)74.9%
Memory size3.4 KiB
2023-12-12T12:30:26.129920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1272
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

Unique106 ?
Unique (%)100.0%

Sample

1st row042-625-3000
2nd row042-627-5666
3rd row042-632-0018
4th row042-672-9262
5th row042-627-8861
ValueCountFrequency (%)
042-638-1004 1
 
0.9%
042-271-3347 1
 
0.9%
042-621-4966 1
 
0.9%
042-625-1400 1
 
0.9%
042-621-1580 1
 
0.9%
042-638-9777 1
 
0.9%
042-274-4300 1
 
0.9%
042-282-4455 1
 
0.9%
042-633-4488 1
 
0.9%
042-284-9100 1
 
0.9%
Other values (96) 96
90.6%
2023-12-12T12:30:26.588588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 225
17.7%
- 212
16.7%
0 195
15.3%
4 176
13.8%
6 97
7.6%
3 85
 
6.7%
8 81
 
6.4%
5 53
 
4.2%
7 52
 
4.1%
1 51
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1060
83.3%
Dash Punctuation 212
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 225
21.2%
0 195
18.4%
4 176
16.6%
6 97
9.2%
3 85
 
8.0%
8 81
 
7.6%
5 53
 
5.0%
7 52
 
4.9%
1 51
 
4.8%
9 45
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 212
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1272
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 225
17.7%
- 212
16.7%
0 195
15.3%
4 176
13.8%
6 97
7.6%
3 85
 
6.7%
8 81
 
6.4%
5 53
 
4.2%
7 52
 
4.1%
1 51
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1272
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 225
17.7%
- 212
16.7%
0 195
15.3%
4 176
13.8%
6 97
7.6%
3 85
 
6.7%
8 81
 
6.4%
5 53
 
4.2%
7 52
 
4.1%
1 51
 
4.0%

사무소주소
Text

Distinct400
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-12T12:30:26.942219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length42.5
Mean length27.900474
Min length15

Characters and Unicode

Total characters11774
Distinct characters174
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

Unique379 ?
Unique (%)89.8%

Sample

1st row대전광역시 동구 합내로 6-4 (가양동)
2nd row대전광역시 동구 동서대로 1709-1 (용전동)
3rd row대전광역시 동구 합내로 47 (가양동)
4th row대전광역시 동구 계족로392번길 142 (가양동)
5th row대전광역시 동구 비래서로42번길 22 (가양동)
ValueCountFrequency (%)
대전광역시 422
 
18.5%
동구 422
 
18.5%
계족로 36
 
1.6%
상가동 35
 
1.5%
대전로 29
 
1.3%
가양동 26
 
1.1%
상가 25
 
1.1%
동대전로 25
 
1.1%
용운로 22
 
1.0%
1층 21
 
0.9%
Other values (578) 1222
53.5%
2023-12-12T12:30:27.512464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1896
 
16.1%
동 919
 
7.8%
1 643
 
5.5%
대 601
 
5.1%
전 572
 
4.9%
시 429
 
3.6%
구 428
 
3.6%
광 424
 
3.6%
역 422
 
3.6%
로 406
 
3.4%
Other values (164) 5034
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6778
57.6%
Decimal Number 2261
 
19.2%
Space Separator 1896
 
16.1%
Close Punctuation 332
 
2.8%
Open Punctuation 331
 
2.8%
Other Punctuation 92
 
0.8%
Dash Punctuation 72
 
0.6%
Uppercase Letter 7
 
0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 919
13.6%
대 601
 
8.9%
전 572
 
8.4%
시 429
 
6.3%
구 428
 
6.3%
광 424
 
6.3%
역 422
 
6.2%
로 406
 
6.0%
호 189
 
2.8%
길 182
 
2.7%
Other values (145) 2206
32.5%
Decimal Number
ValueCountFrequency (%)
1 643
28.4%
0 282
12.5%
2 256
 
11.3%
3 227
 
10.0%
4 210
 
9.3%
6 169
 
7.5%
5 153
 
6.8%
7 123
 
5.4%
8 113
 
5.0%
9 85
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
B 3
42.9%
H 2
28.6%
L 2
28.6%
Space Separator
ValueCountFrequency (%)
1896
100.0%
Close Punctuation
ValueCountFrequency (%)
) 332
100.0%
Open Punctuation
ValueCountFrequency (%)
( 331
100.0%
Other Punctuation
ValueCountFrequency (%)
, 92
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6778
57.6%
Common 4984
42.3%
Latin 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 919
13.6%
대 601
 
8.9%
전 572
 
8.4%
시 429
 
6.3%
구 428
 
6.3%
광 424
 
6.3%
역 422
 
6.2%
로 406
 
6.0%
호 189
 
2.8%
길 182
 
2.7%
Other values (145) 2206
32.5%
Common
ValueCountFrequency (%)
1896
38.0%
1 643
 
12.9%
) 332
 
6.7%
( 331
 
6.6%
0 282
 
5.7%
2 256
 
5.1%
3 227
 
4.6%
4 210
 
4.2%
6 169
 
3.4%
5 153
 
3.1%
Other values (5) 485
 
9.7%
Latin
ValueCountFrequency (%)
e 5
41.7%
B 3
25.0%
H 2
 
16.7%
L 2
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6778
57.6%
ASCII 4996
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1896
38.0%
1 643
 
12.9%
) 332
 
6.6%
( 331
 
6.6%
0 282
 
5.6%
2 256
 
5.1%
3 227
 
4.5%
4 210
 
4.2%
6 169
 
3.4%
5 153
 
3.1%
Other values (9) 497
 
9.9%
Hangul
ValueCountFrequency (%)
동 919
13.6%
대 601
 
8.9%
전 572
 
8.4%
시 429
 
6.3%
구 428
 
6.3%
광 424
 
6.3%
역 422
 
6.2%
로 406
 
6.0%
호 189
 
2.8%
길 182
 
2.7%
Other values (145) 2206
32.5%

사무소우편번호
Real number (ℝ)

Distinct132
Distinct (%)31.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34599.398
Minimum34501
Maximum34711
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-12T12:30:27.705863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34501
5-th percentile34514
Q134544
median34593
Q334658
95-th percentile34696
Maximum34711
Range210
Interquartile range (IQR)114

Descriptive statistics

Standard deviation63.096147
Coefficient of variation (CV)0.0018236198
Kurtosis-1.3875131
Mean34599.398
Median Absolute Deviation (MAD)51.5
Skewness0.1626596
Sum14600946
Variance3981.1238
MonotonicityNot monotonic
2023-12-12T12:30:28.212164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34546 13
 
3.1%
34554 12
 
2.8%
34514 12
 
2.8%
34547 10
 
2.4%
34692 9
 
2.1%
34675 9
 
2.1%
34640 8
 
1.9%
34593 8
 
1.9%
34552 7
 
1.7%
34544 7
 
1.7%
Other values (122) 327
77.5%
ValueCountFrequency (%)
34501 1
 
0.2%
34504 1
 
0.2%
34506 7
1.7%
34508 3
 
0.7%
34509 2
 
0.5%
34512 3
 
0.7%
34513 3
 
0.7%
34514 12
2.8%
34515 1
 
0.2%
34516 2
 
0.5%
ValueCountFrequency (%)
34711 2
 
0.5%
34706 3
0.7%
34705 1
 
0.2%
34704 1
 
0.2%
34703 3
0.7%
34701 5
1.2%
34699 1
 
0.2%
34698 5
1.2%
34696 2
 
0.5%
34695 5
1.2%

Interactions

2023-12-12T12:30:22.172050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:30:28.307564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
중개업소종별사무소우편번호
중개업소종별1.0000.202
사무소우편번호0.2021.000
2023-12-12T12:30:28.413983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사무소우편번호중개업소종별
사무소우편번호1.0000.122
중개업소종별0.1221.000

Missing values

2023-12-12T12:30:22.315418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:30:22.505323image/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

등록번호행정처분상태사무소명중개업소종별중개업자명사무소전화번호사무소주소사무소우편번호
0동구-7영업중국일부동산중개사무소중개인장희규042-625-3000대전광역시 동구 합내로 6-4 (가양동)34587
1동구-167영업중고속공인중개사사무소공인중개사강완희042-627-5666대전광역시 동구 동서대로 1709-1 (용전동)34550
2동구-243영업중하나공인중개사사무소공인중개사주흥종042-632-0018대전광역시 동구 합내로 47 (가양동)34577
3동구-60영업중한일부동산중개인사무소중개인김병식042-672-9262대전광역시 동구 계족로392번길 142 (가양동)34577
4동구-173영업중성심공인중개사무소공인중개사전복순042-627-8861대전광역시 동구 비래서로42번길 22 (가양동)34527
5동구-296영업중천동3지구공인중개사무소공인중개사최형모042-284-3300대전광역시 동구 대전로542번길 121 상가동 106호(천동, 위드힐)34687
6동구-86영업중만물부동산중개인 사무소중개인백재농042-285-4496대전광역시 동구 대전로 443 (가오동)34693
7동구-138영업중삼우공인중개사사무소공인중개사이영수042-283-5713대전광역시 동구 용운로 11 (대동)34656
8동구-107영업중낭월오투공인중개사사무소공인중개사김건식042-283-2100대전광역시 동구 산내로 1375 상가2동 103호(낭월동, 오투그란데아파트)34701
9동구-102영업중이민영공인중개사사무소공인중개사이충례042-627-5000대전광역시 동구 태전로 47 (삼성동)34624
등록번호행정처분상태사무소명중개업소종별중개업자명사무소전화번호사무소주소사무소우편번호
41230110-2023-00040영업중모아공인중개사사무소공인중개사염희선<NA>대전광역시 동구 흥룡로37번길 3534532
41330110-2023-00041영업중열매공인중개사사무소공인중개사김선미<NA>대전광역시 동구 홍도로 60 상가 110동 103호(용전동, 새피앙아파트)34546
41430110-2023-00042영업중신흥마을공인중개사사무소공인중개사김연수<NA>대전광역시 동구 옥천로 38 상가동 103호(신흥동, 신흥마을아파트)34669
41530110-2023-00043영업중스마트뷰온통부동산공인중개사사무소공인중개사강현인<NA>대전광역시 동구 성남로 15 상가동 106호(성남동, 스마트뷰아파트)34582
41630110-2023-00044영업중대박공인중개사사무소공인중개사황은정<NA>대전광역시 동구 은어송로 45 106호34692
41730110-2023-00045영업중신대전대공인중개사사무소공인중개사김재희<NA>대전광역시 동구 대학로 62-934519
41830110-2023-00046영업중이쁜하루공인중개사사무소공인중개사정용석<NA>대전광역시 동구 계족로464번길 20 101호34547
41930110-2023-00047영업중대전대킹콩공인중개사사무소공인중개사김학용<NA>대전광역시 동구 용운로147번길 93 103호34524
420동구-680영업중굿모닝공인중개사사무소공인중개사송인목<NA>대전광역시 동구 대전로340번길 20 , 상가2동 104호(대성동, 삼익세라믹아파트)34698
421동구-746영업중뉴-타운공인중개사사무소공인중개사박성대<NA>대전광역시 동구 새둑길 181 (소제동)34614