Overview

Dataset statistics

Number of variables6
Number of observations712
Missing cells185
Missing cells (%)4.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.5 KiB
Average record size in memory48.2 B

Variable types

Text5
Categorical1

Dataset

Description동래구 관내 부동산중개업소에 대한 데이터로 등록번호, 사무소명, 중개업자명, 사무소전화번호, 사무소주소, 행정동 등에 대한 항목을 제공합니다.
Author부산광역시 동래구
URLhttps://www.data.go.kr/data/3039790/fileData.do

Alerts

사무소전화번호 has 185 (26.0%) missing valuesMissing
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:34:49.800873
Analysis finished2023-12-12 08:34:50.424498
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Text

UNIQUE 

Distinct712
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2023-12-12T17:34:50.571433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length14.271067
Min length8

Characters and Unicode

Total characters10161
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

Unique712 ?
Unique (%)100.0%

Sample

1st row가-06-4180
2nd row가-06-1315
3rd row가-06-1601
4th row가-06-1780
5th row가-06-1875
ValueCountFrequency (%)
가-06-4180 1
 
0.1%
26260-2021-00074 1
 
0.1%
26260-2021-00009 1
 
0.1%
26260-2021-00041 1
 
0.1%
26260-2021-00011 1
 
0.1%
26260-2021-00016 1
 
0.1%
26260-2021-00022 1
 
0.1%
26260-2021-00023 1
 
0.1%
26260-2021-00032 1
 
0.1%
26260-2021-00034 1
 
0.1%
Other values (702) 702
98.6%
2023-12-12T17:34:50.914947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2923
28.8%
2 2235
22.0%
6 1445
14.2%
- 1424
14.0%
1 638
 
6.3%
3 331
 
3.3%
4 264
 
2.6%
5 200
 
2.0%
9 188
 
1.9%
가 172
 
1.7%
Other values (3) 341
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8562
84.3%
Dash Punctuation 1424
 
14.0%
Other Letter 175
 
1.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2923
34.1%
2 2235
26.1%
6 1445
16.9%
1 638
 
7.5%
3 331
 
3.9%
4 264
 
3.1%
5 200
 
2.3%
9 188
 
2.2%
7 171
 
2.0%
8 167
 
2.0%
Other Letter
ValueCountFrequency (%)
가 172
98.3%
나 3
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 1424
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9986
98.3%
Hangul 175
 
1.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2923
29.3%
2 2235
22.4%
6 1445
14.5%
- 1424
14.3%
1 638
 
6.4%
3 331
 
3.3%
4 264
 
2.6%
5 200
 
2.0%
9 188
 
1.9%
7 171
 
1.7%
Hangul
ValueCountFrequency (%)
가 172
98.3%
나 3
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9986
98.3%
Hangul 175
 
1.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2923
29.3%
2 2235
22.4%
6 1445
14.5%
- 1424
14.3%
1 638
 
6.4%
3 331
 
3.3%
4 264
 
2.6%
5 200
 
2.0%
9 188
 
1.9%
7 171
 
1.7%
Hangul
ValueCountFrequency (%)
가 172
98.3%
나 3
 
1.7%

사무소명
Text

Distinct631
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2023-12-12T17:34:51.193272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length11.688202
Min length7

Characters and Unicode

Total characters8322
Distinct characters320
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique573 ?
Unique (%)80.5%

Sample

1st row의령부동산중개사무소
2nd row한성부동산중개사무소
3rd row삼성부동산중개사무소
4th row동래부동산중개사무소
5th row한주부동산중개사무소
ValueCountFrequency (%)
태양공인중개사사무소 6
 
0.8%
미래공인중개사사무소 6
 
0.8%
중앙공인중개사사무소 4
 
0.6%
현대공인중개사사무소 4
 
0.6%
강남공인중개사사무소 3
 
0.4%
주식회사 3
 
0.4%
에이스공인중개사사무소 3
 
0.4%
만세공인중개사사무소 3
 
0.4%
대박공인중개사사무소 3
 
0.4%
으뜸공인중개사사무소 3
 
0.4%
Other values (622) 677
94.7%
2023-12-12T17:34:51.586295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 1304
15.7%
중 717
 
8.6%
개 713
 
8.6%
소 694
 
8.3%
무 686
 
8.2%
인 603
 
7.2%
공 591
 
7.1%
동 371
 
4.5%
부 332
 
4.0%
산 324
 
3.9%
Other values (310) 1987
23.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8176
98.2%
Uppercase Letter 81
 
1.0%
Decimal Number 30
 
0.4%
Lowercase Letter 12
 
0.1%
Close Punctuation 8
 
0.1%
Open Punctuation 8
 
0.1%
Space Separator 3
 
< 0.1%
Other Punctuation 2
 
< 0.1%
Modifier Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1304
15.9%
중 717
 
8.8%
개 713
 
8.7%
소 694
 
8.5%
무 686
 
8.4%
인 603
 
7.4%
공 591
 
7.2%
동 371
 
4.5%
부 332
 
4.1%
산 324
 
4.0%
Other values (273) 1841
22.5%
Uppercase Letter
ValueCountFrequency (%)
K 24
29.6%
S 13
16.0%
C 8
 
9.9%
E 5
 
6.2%
I 4
 
4.9%
T 3
 
3.7%
H 3
 
3.7%
W 3
 
3.7%
P 3
 
3.7%
R 3
 
3.7%
Other values (8) 12
14.8%
Lowercase Letter
ValueCountFrequency (%)
e 5
41.7%
h 2
 
16.7%
t 1
 
8.3%
o 1
 
8.3%
c 1
 
8.3%
i 1
 
8.3%
k 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
1 23
76.7%
4 4
 
13.3%
2 1
 
3.3%
3 1
 
3.3%
0 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
# 1
50.0%
. 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8175
98.2%
Latin 93
 
1.1%
Common 53
 
0.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1304
16.0%
중 717
 
8.8%
개 713
 
8.7%
소 694
 
8.5%
무 686
 
8.4%
인 603
 
7.4%
공 591
 
7.2%
동 371
 
4.5%
부 332
 
4.1%
산 324
 
4.0%
Other values (272) 1840
22.5%
Latin
ValueCountFrequency (%)
K 24
25.8%
S 13
14.0%
C 8
 
8.6%
E 5
 
5.4%
e 5
 
5.4%
I 4
 
4.3%
T 3
 
3.2%
H 3
 
3.2%
W 3
 
3.2%
P 3
 
3.2%
Other values (15) 22
23.7%
Common
ValueCountFrequency (%)
1 23
43.4%
) 8
 
15.1%
( 8
 
15.1%
4 4
 
7.5%
3
 
5.7%
2 1
 
1.9%
` 1
 
1.9%
- 1
 
1.9%
# 1
 
1.9%
. 1
 
1.9%
Other values (2) 2
 
3.8%
Han
ValueCountFrequency (%)
本 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8175
98.2%
ASCII 146
 
1.8%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 1304
16.0%
중 717
 
8.8%
개 713
 
8.7%
소 694
 
8.5%
무 686
 
8.4%
인 603
 
7.4%
공 591
 
7.2%
동 371
 
4.5%
부 332
 
4.1%
산 324
 
4.0%
Other values (272) 1840
22.5%
ASCII
ValueCountFrequency (%)
K 24
16.4%
1 23
15.8%
S 13
 
8.9%
C 8
 
5.5%
) 8
 
5.5%
( 8
 
5.5%
E 5
 
3.4%
e 5
 
3.4%
I 4
 
2.7%
4 4
 
2.7%
Other values (27) 44
30.1%
CJK
ValueCountFrequency (%)
本 1
100.0%

중개업자명
Text

Distinct683
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2023-12-12T17:34:51.962086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.0042135
Min length2

Characters and Unicode

Total characters2139
Distinct characters191
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique657 ?
Unique (%)92.3%

Sample

1st row김정애
2nd row이향화
3rd row김희도
4th row안영기
5th row김평남
ValueCountFrequency (%)
이정미 3
 
0.4%
김영미 3
 
0.4%
박지영 3
 
0.4%
이정숙 2
 
0.3%
김봉수 2
 
0.3%
김명희 2
 
0.3%
이영주 2
 
0.3%
박은경 2
 
0.3%
이선미 2
 
0.3%
김미정 2
 
0.3%
Other values (674) 690
96.8%
2023-12-12T17:34:52.516019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 144
 
6.7%
이 122
 
5.7%
정 97
 
4.5%
영 94
 
4.4%
박 67
 
3.1%
경 58
 
2.7%
희 50
 
2.3%
수 48
 
2.2%
숙 44
 
2.1%
미 43
 
2.0%
Other values (181) 1372
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2136
99.9%
Space Separator 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 144
 
6.7%
이 122
 
5.7%
정 97
 
4.5%
영 94
 
4.4%
박 67
 
3.1%
경 58
 
2.7%
희 50
 
2.3%
수 48
 
2.2%
숙 44
 
2.1%
미 43
 
2.0%
Other values (178) 1369
64.1%
Space Separator
ValueCountFrequency (%)
1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2133
99.7%
Common 3
 
0.1%
Han 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 144
 
6.8%
이 122
 
5.7%
정 97
 
4.5%
영 94
 
4.4%
박 67
 
3.1%
경 58
 
2.7%
희 50
 
2.3%
수 48
 
2.3%
숙 44
 
2.1%
미 43
 
2.0%
Other values (175) 1366
64.0%
Common
ValueCountFrequency (%)
1
33.3%
) 1
33.3%
( 1
33.3%
Han
ValueCountFrequency (%)
金 1
33.3%
順 1
33.3%
熙 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2133
99.7%
ASCII 3
 
0.1%
CJK 3
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 144
 
6.8%
이 122
 
5.7%
정 97
 
4.5%
영 94
 
4.4%
박 67
 
3.1%
경 58
 
2.7%
희 50
 
2.3%
수 48
 
2.3%
숙 44
 
2.1%
미 43
 
2.0%
Other values (175) 1366
64.0%
ASCII
ValueCountFrequency (%)
1
33.3%
) 1
33.3%
( 1
33.3%
CJK
ValueCountFrequency (%)
金 1
33.3%
順 1
33.3%
熙 1
33.3%

사무소전화번호
Text

MISSING 

Distinct511
Distinct (%)97.0%
Missing185
Missing (%)26.0%
Memory size5.7 KiB
2023-12-12T17:34:52.850033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.011385
Min length12

Characters and Unicode

Total characters6330
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique495 ?
Unique (%)93.9%

Sample

1st row051-502-4444
2nd row051-553-3300
3rd row051-504-7757
4th row051-555-8849
5th row051-529-3232
ValueCountFrequency (%)
051-502-8000 2
 
0.4%
051-502-0010 2
 
0.4%
051-555-1300 2
 
0.4%
051-558-5566 2
 
0.4%
051-502-8999 2
 
0.4%
051-715-8909 2
 
0.4%
051-554-1009 2
 
0.4%
051-554-2200 2
 
0.4%
051-502-0888 2
 
0.4%
051-521-0001 2
 
0.4%
Other values (501) 507
96.2%
2023-12-12T17:34:53.375146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1483
23.4%
0 1180
18.6%
- 1054
16.7%
1 772
12.2%
8 336
 
5.3%
2 316
 
5.0%
3 269
 
4.2%
9 260
 
4.1%
4 240
 
3.8%
7 237
 
3.7%
Other values (2) 183
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5274
83.3%
Dash Punctuation 1054
 
16.7%
Space Separator 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1483
28.1%
0 1180
22.4%
1 772
14.6%
8 336
 
6.4%
2 316
 
6.0%
3 269
 
5.1%
9 260
 
4.9%
4 240
 
4.6%
7 237
 
4.5%
6 181
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 1054
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6330
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1483
23.4%
0 1180
18.6%
- 1054
16.7%
1 772
12.2%
8 336
 
5.3%
2 316
 
5.0%
3 269
 
4.2%
9 260
 
4.1%
4 240
 
3.8%
7 237
 
3.7%
Other values (2) 183
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6330
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1483
23.4%
0 1180
18.6%
- 1054
16.7%
1 772
12.2%
8 336
 
5.3%
2 316
 
5.0%
3 269
 
4.2%
9 260
 
4.1%
4 240
 
3.8%
7 237
 
3.7%
Other values (2) 183
 
2.9%

사무소주소
Text

Distinct649
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2023-12-12T17:34:53.764077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length49
Mean length33.853933
Min length20

Characters and Unicode

Total characters24104
Distinct characters231
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique595 ?
Unique (%)83.6%

Sample

1st row부산광역시 동래구 사직북로48번길 12 (사직동)
2nd row부산광역시 동래구 충렬대로 318 A상가 102호(낙민동)
3rd row부산광역시 동래구 여고로113번길 26 (사직동)
4th row부산광역시 동래구 동래로148번길 23 (복천동)
5th row부산광역시 동래구 안락로 9 (안락동)
ValueCountFrequency (%)
부산광역시 712
 
17.2%
동래구 712
 
17.2%
온천동 71
 
1.7%
사직동 61
 
1.5%
1층(온천동 45
 
1.1%
충렬대로107번길 42
 
1.0%
65 42
 
1.0%
안락동 41
 
1.0%
명륜로 32
 
0.8%
9 31
 
0.7%
Other values (846) 2355
56.8%
2023-12-12T17:34:54.349895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3435
 
14.3%
동 1779
 
7.4%
1 1184
 
4.9%
래 863
 
3.6%
시 812
 
3.4%
산 744
 
3.1%
부 717
 
3.0%
역 717
 
3.0%
광 715
 
3.0%
( 715
 
3.0%
Other values (221) 12423
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14390
59.7%
Decimal Number 4234
 
17.6%
Space Separator 3435
 
14.3%
Open Punctuation 715
 
3.0%
Close Punctuation 715
 
3.0%
Other Punctuation 295
 
1.2%
Uppercase Letter 192
 
0.8%
Dash Punctuation 118
 
0.5%
Lowercase Letter 9
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1779
 
12.4%
래 863
 
6.0%
시 812
 
5.6%
산 744
 
5.2%
부 717
 
5.0%
역 717
 
5.0%
광 715
 
5.0%
로 713
 
5.0%
구 712
 
4.9%
번 364
 
2.5%
Other values (190) 6254
43.5%
Uppercase Letter
ValueCountFrequency (%)
K 33
17.2%
B 33
17.2%
S 24
12.5%
A 20
10.4%
C 16
8.3%
E 16
8.3%
W 15
7.8%
V 15
7.8%
I 15
7.8%
H 2
 
1.0%
Other values (3) 3
 
1.6%
Decimal Number
ValueCountFrequency (%)
1 1184
28.0%
2 551
13.0%
0 523
12.4%
3 446
 
10.5%
5 313
 
7.4%
7 302
 
7.1%
4 283
 
6.7%
6 253
 
6.0%
8 196
 
4.6%
9 183
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 292
99.0%
· 3
 
1.0%
Space Separator
ValueCountFrequency (%)
3435
100.0%
Open Punctuation
ValueCountFrequency (%)
( 715
100.0%
Close Punctuation
ValueCountFrequency (%)
) 715
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14390
59.7%
Common 9513
39.5%
Latin 201
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1779
 
12.4%
래 863
 
6.0%
시 812
 
5.6%
산 744
 
5.2%
부 717
 
5.0%
역 717
 
5.0%
광 715
 
5.0%
로 713
 
5.0%
구 712
 
4.9%
번 364
 
2.5%
Other values (190) 6254
43.5%
Common
ValueCountFrequency (%)
3435
36.1%
1 1184
 
12.4%
( 715
 
7.5%
) 715
 
7.5%
2 551
 
5.8%
0 523
 
5.5%
3 446
 
4.7%
5 313
 
3.3%
7 302
 
3.2%
, 292
 
3.1%
Other values (7) 1037
 
10.9%
Latin
ValueCountFrequency (%)
K 33
16.4%
B 33
16.4%
S 24
11.9%
A 20
10.0%
C 16
8.0%
E 16
8.0%
W 15
7.5%
V 15
7.5%
I 15
7.5%
e 9
 
4.5%
Other values (4) 5
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14390
59.7%
ASCII 9711
40.3%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3435
35.4%
1 1184
 
12.2%
( 715
 
7.4%
) 715
 
7.4%
2 551
 
5.7%
0 523
 
5.4%
3 446
 
4.6%
5 313
 
3.2%
7 302
 
3.1%
, 292
 
3.0%
Other values (20) 1235
 
12.7%
Hangul
ValueCountFrequency (%)
동 1779
 
12.4%
래 863
 
6.0%
시 812
 
5.6%
산 744
 
5.2%
부 717
 
5.0%
역 717
 
5.0%
광 715
 
5.0%
로 713
 
5.0%
구 712
 
4.9%
번 364
 
2.5%
Other values (190) 6254
43.5%
None
ValueCountFrequency (%)
· 3
100.0%

행정동
Categorical

Distinct13
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
온천제1동
114 
명륜동
82 
수민동
77 
온천제2동
75 
온천제3동
61 
Other values (8)
303 

Length

Max length5
Median length5
Mean length4.4719101
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사직제1동
2nd row수민동
3rd row사직제3동
4th row복산동
5th row안락제1동

Common Values

ValueCountFrequency (%)
온천제1동 114
16.0%
명륜동 82
11.5%
수민동 77
10.8%
온천제2동 75
10.5%
온천제3동 61
8.6%
사직제2동 55
7.7%
사직제3동 45
 
6.3%
안락제2동 45
 
6.3%
안락제1동 42
 
5.9%
사직제1동 34
 
4.8%
Other values (3) 82
11.5%

Length

2023-12-12T17:34:54.570381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
온천제1동 114
16.0%
명륜동 82
11.5%
수민동 77
10.8%
온천제2동 75
10.5%
온천제3동 61
8.6%
사직제2동 55
7.7%
사직제3동 45
 
6.3%
안락제2동 45
 
6.3%
안락제1동 42
 
5.9%
사직제1동 34
 
4.8%
Other values (3) 82
11.5%

Missing values

2023-12-12T17:34:50.275635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:34:50.382464image/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

등록번호사무소명중개업자명사무소전화번호사무소주소행정동
0가-06-4180의령부동산중개사무소김정애051-502-4444부산광역시 동래구 사직북로48번길 12 (사직동)사직제1동
1가-06-1315한성부동산중개사무소이향화051-553-3300부산광역시 동래구 충렬대로 318 A상가 102호(낙민동)수민동
2가-06-1601삼성부동산중개사무소김희도051-504-7757부산광역시 동래구 여고로113번길 26 (사직동)사직제3동
3가-06-1780동래부동산중개사무소안영기051-555-8849부산광역시 동래구 동래로148번길 23 (복천동)복산동
4가-06-1875한주부동산중개사무소김평남051-529-3232부산광역시 동래구 안락로 9 (안락동)안락제1동
5가-06-1892럭키3.1부동산중개사무소정정숙051-552-3131부산광역시 동래구 충렬대로107번길 54 상가동 1-1호(온천동,럭키아파트)온천제2동
6나-06-652제일부동산중개사무소손덕수051-552-9001부산광역시 동래구 차밭골로 9 102호(온천동)온천제1동
7나-06-343제일부동산중개사무소송욱명051-525-6812부산광역시 동래구 반송로 287-8 (명장동)명장제2동
8나-06-292한라부동산중개사무소장이수051-521-0005부산광역시 동래구 명안로 4 (안락동)안락제2동
9가-06-2931쌍용예가공인중개사사무소김승연051-501-4585부산광역시 동래구 사직로 80 상가223동 B107호 (사직동, 사직쌍용예가)사직제2동
등록번호사무소명중개업자명사무소전화번호사무소주소행정동
702가-06-4552주식회사 뉴미래부동산중개공영호051-557-0661부산광역시 동래구 충렬대로 343 (안락동)안락제1동
70326260-2022-00079오스카부동산중개법인(주)우연정<NA>부산광역시 동래구 온천장로 108-6 102호(온천동, 오스카빌딩)온천제1동
70426260-2022-00043주식회사 이화부동산중개법인유윤상<NA>부산광역시 동래구 연안로59번길 30 101호(안락동, 모스트빌)안락제2동
70526260-2016-00186주식회사우주부동산중개이영준<NA>부산광역시 동래구 충렬대로 236 (수안동)수민동
70626260-2023-00020주식회사에스엠부동산중개법인김경배<NA>부산광역시 동래구 금강로 107 , 612호(온천동)온천제1동
70726260-2021-00150도울부동산중개법인박수빈051-507-7774부산광역시 동래구 사직북로 61 1층(사직동)사직제2동
70826260-2016-00203(주)바다부동산중개김권051-557-5200부산광역시 동래구 명륜로98번길 34 2층 (수안동)수민동
70926260-2020-00235반도부동산중개법인주식회사이정란051-506-4006부산광역시 동래구 아시아드대로231번길 17 (온천동)온천제3동
71026260-2022-00092주식회사 거성부동산중개법인정유진051-927-8000부산광역시 동래구 명륜로207번길 41 2층(명륜동)명륜동
71126260-2021-00070성광디앤씨부동산중개법인이영한051-556-2227부산광역시 동래구 명륜로217번길 1 1층(명륜동)명륜동