Overview

Dataset statistics

Number of variables7
Number of observations901
Missing cells0
Missing cells (%)0.0%
Duplicate rows31
Duplicate rows (%)3.4%
Total size in memory49.4 KiB
Average record size in memory56.1 B

Variable types

Text5
Categorical2

Dataset

Description경상남도 양산시 부동산 등록번호 중개업소명 , 중개업소종별, 중개업자명, 사무실연락처, 소재주소를 확인할 수 있습니다.
Author경상남도 양산시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3065863

Alerts

직위 has constant value ""Constant
Dataset has 31 (3.4%) duplicate rowsDuplicates
중개업소종별 is highly imbalanced (94.9%)Imbalance

Reproduction

Analysis started2024-04-21 07:06:40.718719
Analysis finished2024-04-21 07:06:41.859372
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Text

Distinct841
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
2024-04-21T16:06:42.551697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length13.892342
Min length9

Characters and Unicode

Total characters12517
Distinct characters13
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

Unique781 ?
Unique (%)86.7%

Sample

1st row가4330-995
2nd row가4330-986
3rd row가4330-948
4th row가4330-935
5th row가4330-934
ValueCountFrequency (%)
가 5
 
0.6%
가4330-995 2
 
0.2%
가4330-2430 2
 
0.2%
가4330-2453 2
 
0.2%
가4330-2462 2
 
0.2%
가4330-2443 2
 
0.2%
가4330-2442 2
 
0.2%
가4330-2441 2
 
0.2%
가4330-2428 2
 
0.2%
가4330-2422 2
 
0.2%
Other values (832) 883
97.5%
2024-04-21T16:06:43.875576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3330
26.6%
3 2126
17.0%
- 1495
11.9%
2 1359
10.9%
4 1167
 
9.3%
1 859
 
6.9%
8 837
 
6.7%
가 307
 
2.5%
5 269
 
2.1%
7 266
 
2.1%
Other values (3) 502
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10710
85.6%
Dash Punctuation 1495
 
11.9%
Other Letter 307
 
2.5%
Space Separator 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3330
31.1%
3 2126
19.9%
2 1359
12.7%
4 1167
 
10.9%
1 859
 
8.0%
8 837
 
7.8%
5 269
 
2.5%
7 266
 
2.5%
6 264
 
2.5%
9 233
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 1495
100.0%
Other Letter
ValueCountFrequency (%)
가 307
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12210
97.5%
Hangul 307
 
2.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3330
27.3%
3 2126
17.4%
- 1495
12.2%
2 1359
11.1%
4 1167
 
9.6%
1 859
 
7.0%
8 837
 
6.9%
5 269
 
2.2%
7 266
 
2.2%
6 264
 
2.2%
Other values (2) 238
 
1.9%
Hangul
ValueCountFrequency (%)
가 307
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12210
97.5%
Hangul 307
 
2.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3330
27.3%
3 2126
17.4%
- 1495
12.2%
2 1359
11.1%
4 1167
 
9.6%
1 859
 
7.0%
8 837
 
6.9%
5 269
 
2.2%
7 266
 
2.2%
6 264
 
2.2%
Other values (2) 238
 
1.9%
Hangul
ValueCountFrequency (%)
가 307
100.0%

사무소명
Text

Distinct841
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
2024-04-21T16:06:44.747256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length11.651498
Min length7

Characters and Unicode

Total characters10498
Distinct characters382
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

Unique781 ?
Unique (%)86.7%

Sample

1st row신바람공인중개사사무소
2nd row주토공인중개사사무소
3rd row만경부동산공인중개사사무소
4th row삼보공인중개사사무소
5th row대박공인중개사사무소
ValueCountFrequency (%)
주식회사 3
 
0.3%
신바람공인중개사사무소 2
 
0.2%
대방8차민들레부동산공인중개사사무소 2
 
0.2%
맥공인중개사사무소 2
 
0.2%
세호공인중개사사무소 2
 
0.2%
신라공인중개사사무소 2
 
0.2%
신화공인중개사사무소 2
 
0.2%
신화합동공인중개사사무소 2
 
0.2%
아시아공인중개사사무소 2
 
0.2%
밝은부동산공인중개사사무소 2
 
0.2%
Other values (834) 885
97.7%
2024-04-21T16:06:46.018049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 1722
16.4%
개 906
 
8.6%
중 902
 
8.6%
소 880
 
8.4%
무 873
 
8.3%
인 830
 
7.9%
공 815
 
7.8%
산 354
 
3.4%
동 324
 
3.1%
부 277
 
2.6%
Other values (372) 2615
24.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10277
97.9%
Uppercase Letter 78
 
0.7%
Decimal Number 77
 
0.7%
Lowercase Letter 40
 
0.4%
Close Punctuation 7
 
0.1%
Open Punctuation 7
 
0.1%
Space Separator 5
 
< 0.1%
Other Punctuation 4
 
< 0.1%
Math Symbol 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1722
16.8%
개 906
 
8.8%
중 902
 
8.8%
소 880
 
8.6%
무 873
 
8.5%
인 830
 
8.1%
공 815
 
7.9%
산 354
 
3.4%
동 324
 
3.2%
부 277
 
2.7%
Other values (334) 2394
23.3%
Uppercase Letter
ValueCountFrequency (%)
K 17
21.8%
T 10
12.8%
O 10
12.8%
C 6
 
7.7%
N 6
 
7.7%
E 6
 
7.7%
H 4
 
5.1%
W 4
 
5.1%
S 4
 
5.1%
J 3
 
3.8%
Other values (4) 8
10.3%
Decimal Number
ValueCountFrequency (%)
2 18
23.4%
1 15
19.5%
8 14
18.2%
5 10
13.0%
4 7
 
9.1%
6 5
 
6.5%
3 4
 
5.2%
7 4
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
e 17
42.5%
h 8
20.0%
w 5
 
12.5%
c 4
 
10.0%
k 2
 
5.0%
n 2
 
5.0%
t 1
 
2.5%
v 1
 
2.5%
Other Punctuation
ValueCountFrequency (%)
, 2
50.0%
# 1
25.0%
& 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10271
97.8%
Latin 118
 
1.1%
Common 103
 
1.0%
Han 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1722
16.8%
개 906
 
8.8%
중 902
 
8.8%
소 880
 
8.6%
무 873
 
8.5%
인 830
 
8.1%
공 815
 
7.9%
산 354
 
3.4%
동 324
 
3.2%
부 277
 
2.7%
Other values (328) 2388
23.2%
Latin
ValueCountFrequency (%)
K 17
14.4%
e 17
14.4%
T 10
 
8.5%
O 10
 
8.5%
h 8
 
6.8%
C 6
 
5.1%
N 6
 
5.1%
E 6
 
5.1%
w 5
 
4.2%
c 4
 
3.4%
Other values (12) 29
24.6%
Common
ValueCountFrequency (%)
2 18
17.5%
1 15
14.6%
8 14
13.6%
5 10
9.7%
) 7
 
6.8%
4 7
 
6.8%
( 7
 
6.8%
5
 
4.9%
6 5
 
4.9%
3 4
 
3.9%
Other values (6) 11
10.7%
Han
ValueCountFrequency (%)
松 1
16.7%
新 1
16.7%
玉 1
16.7%
眞 1
16.7%
世 1
16.7%
上 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10271
97.8%
ASCII 221
 
2.1%
CJK 6
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 1722
16.8%
개 906
 
8.8%
중 902
 
8.8%
소 880
 
8.6%
무 873
 
8.5%
인 830
 
8.1%
공 815
 
7.9%
산 354
 
3.4%
동 324
 
3.2%
부 277
 
2.7%
Other values (328) 2388
23.2%
ASCII
ValueCountFrequency (%)
2 18
 
8.1%
K 17
 
7.7%
e 17
 
7.7%
1 15
 
6.8%
8 14
 
6.3%
T 10
 
4.5%
5 10
 
4.5%
O 10
 
4.5%
h 8
 
3.6%
) 7
 
3.2%
Other values (28) 95
43.0%
CJK
ValueCountFrequency (%)
松 1
16.7%
新 1
16.7%
玉 1
16.7%
眞 1
16.7%
世 1
16.7%
上 1
16.7%

중개업소종별
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
공인중개사
893 
법인
 
6
중개인
 
2

Length

Max length5
Median length5
Mean length4.9755827
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공인중개사 893
99.1%
법인 6
 
0.7%
중개인 2
 
0.2%

Length

2024-04-21T16:06:46.440320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:06:46.751233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공인중개사 893
99.1%
법인 6
 
0.7%
중개인 2
 
0.2%

중개업자명
Text

Distinct817
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
2024-04-21T16:06:48.014015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9977802
Min length2

Characters and Unicode

Total characters2701
Distinct characters185
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

Unique737 ?
Unique (%)81.8%

Sample

1st row안복선
2nd row윤진국
3rd row정병하
4th row신정화
5th row김영숙
ValueCountFrequency (%)
김경희 4
 
0.4%
이명숙 3
 
0.3%
이정자 3
 
0.3%
고정희 2
 
0.2%
김미정 2
 
0.2%
최은숙 2
 
0.2%
박종성 2
 
0.2%
안근혜 2
 
0.2%
최민정 2
 
0.2%
황미경 2
 
0.2%
Other values (807) 877
97.3%
2024-04-21T16:06:49.797430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 184
 
6.8%
정 140
 
5.2%
이 124
 
4.6%
영 83
 
3.1%
희 80
 
3.0%
숙 70
 
2.6%
박 69
 
2.6%
미 68
 
2.5%
경 61
 
2.3%
최 57
 
2.1%
Other values (175) 1765
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2701
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 184
 
6.8%
정 140
 
5.2%
이 124
 
4.6%
영 83
 
3.1%
희 80
 
3.0%
숙 70
 
2.6%
박 69
 
2.6%
미 68
 
2.5%
경 61
 
2.3%
최 57
 
2.1%
Other values (175) 1765
65.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2701
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 184
 
6.8%
정 140
 
5.2%
이 124
 
4.6%
영 83
 
3.1%
희 80
 
3.0%
숙 70
 
2.6%
박 69
 
2.6%
미 68
 
2.5%
경 61
 
2.3%
최 57
 
2.1%
Other values (175) 1765
65.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2701
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 184
 
6.8%
정 140
 
5.2%
이 124
 
4.6%
영 83
 
3.1%
희 80
 
3.0%
숙 70
 
2.6%
박 69
 
2.6%
미 68
 
2.5%
경 61
 
2.3%
최 57
 
2.1%
Other values (175) 1765
65.3%

직위
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
대표
901 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대표 901
100.0%

Length

2024-04-21T16:06:50.204015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:06:50.490769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대표 901
100.0%

사무소전화번호
Text

Distinct514
Distinct (%)57.0%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
2024-04-21T16:06:51.249075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length8.8035516
Min length3

Characters and Unicode

Total characters7932
Distinct characters22
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

Unique456 ?
Unique (%)50.6%

Sample

1st row055-385-2003
2nd row미집계
3rd row055-383-8345
4th row055-381-9000
5th row055-383-49383
ValueCountFrequency (%)
미집계 263
29.2%
개인정보 66
 
7.3%
055-383-3001 4
 
0.4%
055-365-6789 3
 
0.3%
055-364-3636 3
 
0.3%
055-383-3022 2
 
0.2%
055-385-4989 2
 
0.2%
055-388-3666 2
 
0.2%
055-366-8898 2
 
0.2%
055-386-2780 2
 
0.2%
Other values (502) 553
61.3%
2024-04-21T16:06:52.546355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1418
17.9%
- 1144
14.4%
0 1012
12.8%
3 844
10.6%
8 571
7.2%
6 495
 
6.2%
7 301
 
3.8%
2 285
 
3.6%
1 269
 
3.4%
9 266
 
3.4%
Other values (12) 1327
16.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5725
72.2%
Dash Punctuation 1144
 
14.4%
Other Letter 1053
 
13.3%
Other Punctuation 4
 
0.1%
Control 4
 
0.1%
Space Separator 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1418
24.8%
0 1012
17.7%
3 844
14.7%
8 571
10.0%
6 495
 
8.6%
7 301
 
5.3%
2 285
 
5.0%
1 269
 
4.7%
9 266
 
4.6%
4 264
 
4.6%
Other Letter
ValueCountFrequency (%)
미 263
25.0%
집 263
25.0%
계 263
25.0%
보 66
 
6.3%
정 66
 
6.3%
인 66
 
6.3%
개 66
 
6.3%
Dash Punctuation
ValueCountFrequency (%)
- 1144
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Control
ValueCountFrequency (%)
4
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6879
86.7%
Hangul 1053
 
13.3%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1418
20.6%
- 1144
16.6%
0 1012
14.7%
3 844
12.3%
8 571
8.3%
6 495
 
7.2%
7 301
 
4.4%
2 285
 
4.1%
1 269
 
3.9%
9 266
 
3.9%
Other values (5) 274
 
4.0%
Hangul
ValueCountFrequency (%)
미 263
25.0%
집 263
25.0%
계 263
25.0%
보 66
 
6.3%
정 66
 
6.3%
인 66
 
6.3%
개 66
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6879
86.7%
Hangul 1053
 
13.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1418
20.6%
- 1144
16.6%
0 1012
14.7%
3 844
12.3%
8 571
8.3%
6 495
 
7.2%
7 301
 
4.4%
2 285
 
4.1%
1 269
 
3.9%
9 266
 
3.9%
Other values (5) 274
 
4.0%
Hangul
ValueCountFrequency (%)
미 263
25.0%
집 263
25.0%
계 263
25.0%
보 66
 
6.3%
정 66
 
6.3%
인 66
 
6.3%
개 66
 
6.3%

소재지주소
Text

Distinct821
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
2024-04-21T16:06:53.618028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length44
Mean length29.671476
Min length15

Characters and Unicode

Total characters26734
Distinct characters272
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

Unique750 ?
Unique (%)83.2%

Sample

1st row경상남도 양산시 물금읍 황산로 709 ,102호(경민아파트 상가)
2nd row경상남도 양산시 동면 곡리1길 3
3rd row경상남도 양산시 물금읍 황산로 647
4th row경상남도 양산시 물금읍 황산로 699 ,201동 105호
5th row경상남도 양산시 물금읍 백호로 64 , 112호(센텀시티프라자)
ValueCountFrequency (%)
경상남도 901
 
15.3%
양산시 901
 
15.3%
물금읍 357
 
6.1%
281
 
4.8%
1층 226
 
3.8%
일부 179
 
3.0%
동면 132
 
2.2%
상가동 129
 
2.2%
상북면 51
 
0.9%
백호로 43
 
0.7%
Other values (919) 2696
45.7%
2024-04-21T16:06:55.031457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5048
18.9%
1 1595
 
6.0%
상 1197
 
4.5%
산 1159
 
4.3%
양 1082
 
4.0%
남 956
 
3.6%
도 955
 
3.6%
시 953
 
3.6%
경 906
 
3.4%
동 711
 
2.7%
Other values (262) 12172
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15718
58.8%
Space Separator 5048
 
18.9%
Decimal Number 4559
 
17.1%
Other Punctuation 441
 
1.6%
Close Punctuation 398
 
1.5%
Open Punctuation 398
 
1.5%
Dash Punctuation 114
 
0.4%
Uppercase Letter 33
 
0.1%
Lowercase Letter 25
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 1197
 
7.6%
산 1159
 
7.4%
양 1082
 
6.9%
남 956
 
6.1%
도 955
 
6.1%
시 953
 
6.1%
경 906
 
5.8%
동 711
 
4.5%
로 604
 
3.8%
호 599
 
3.8%
Other values (230) 6596
42.0%
Decimal Number
ValueCountFrequency (%)
1 1595
35.0%
0 606
 
13.3%
2 491
 
10.8%
3 407
 
8.9%
5 339
 
7.4%
4 299
 
6.6%
6 253
 
5.5%
7 219
 
4.8%
8 178
 
3.9%
9 172
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
e 9
36.0%
c 4
16.0%
t 3
 
12.0%
y 2
 
8.0%
i 2
 
8.0%
u 1
 
4.0%
s 1
 
4.0%
p 1
 
4.0%
l 1
 
4.0%
h 1
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
B 16
48.5%
A 12
36.4%
D 2
 
6.1%
J 1
 
3.0%
F 1
 
3.0%
K 1
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 440
99.8%
. 1
 
0.2%
Space Separator
ValueCountFrequency (%)
5048
100.0%
Close Punctuation
ValueCountFrequency (%)
) 398
100.0%
Open Punctuation
ValueCountFrequency (%)
( 398
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15718
58.8%
Common 10958
41.0%
Latin 58
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 1197
 
7.6%
산 1159
 
7.4%
양 1082
 
6.9%
남 956
 
6.1%
도 955
 
6.1%
시 953
 
6.1%
경 906
 
5.8%
동 711
 
4.5%
로 604
 
3.8%
호 599
 
3.8%
Other values (230) 6596
42.0%
Common
ValueCountFrequency (%)
5048
46.1%
1 1595
 
14.6%
0 606
 
5.5%
2 491
 
4.5%
, 440
 
4.0%
3 407
 
3.7%
) 398
 
3.6%
( 398
 
3.6%
5 339
 
3.1%
4 299
 
2.7%
Other values (6) 937
 
8.6%
Latin
ValueCountFrequency (%)
B 16
27.6%
A 12
20.7%
e 9
15.5%
c 4
 
6.9%
t 3
 
5.2%
y 2
 
3.4%
i 2
 
3.4%
D 2
 
3.4%
u 1
 
1.7%
s 1
 
1.7%
Other values (6) 6
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15718
58.8%
ASCII 11016
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5048
45.8%
1 1595
 
14.5%
0 606
 
5.5%
2 491
 
4.5%
, 440
 
4.0%
3 407
 
3.7%
) 398
 
3.6%
( 398
 
3.6%
5 339
 
3.1%
4 299
 
2.7%
Other values (22) 995
 
9.0%
Hangul
ValueCountFrequency (%)
상 1197
 
7.6%
산 1159
 
7.4%
양 1082
 
6.9%
남 956
 
6.1%
도 955
 
6.1%
시 953
 
6.1%
경 906
 
5.8%
동 711
 
4.5%
로 604
 
3.8%
호 599
 
3.8%
Other values (230) 6596
42.0%

Missing values

2024-04-21T16:06:41.506498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T16:06:41.766842image/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

등록번호사무소명중개업소종별중개업자명직위사무소전화번호소재지주소
0가4330-995신바람공인중개사사무소공인중개사안복선대표055-385-2003경상남도 양산시 물금읍 황산로 709 ,102호(경민아파트 상가)
1가4330-986주토공인중개사사무소공인중개사윤진국대표미집계경상남도 양산시 동면 곡리1길 3
2가4330-948만경부동산공인중개사사무소공인중개사정병하대표055-383-8345경상남도 양산시 물금읍 황산로 647
3가4330-935삼보공인중개사사무소공인중개사신정화대표055-381-9000경상남도 양산시 물금읍 황산로 699 ,201동 105호
4가4330-934대박공인중개사사무소공인중개사김영숙대표055-383-49383경상남도 양산시 물금읍 백호로 64 , 112호(센텀시티프라자)
5가4330-895대동이미지공인중개사사무소공인중개사윤재한대표055-367-8899경상남도 양산시 대운로 352 상가동 101호(삼호동,대동이미지타운1단지)
6가4330-878비젼21부동산컨설팅공인중개사사무소공인중개사강정식대표055-364-3131경상남도 양산시 중앙로 168 , 2층(북부동)
7가4330-857명성공인중개사사무소공인중개사강태석대표055-367-1600경상남도 양산시 동면 금오7길 2 , 1층
8가4330-853덕계그린부동산중개사무소공인중개사이미화대표055-366-4489경상남도 양산시 신명로 88 상가105호(평산동,동일스위트1차)
9가4330-809가나공인중개사사무소공인중개사김재현대표055-362-4545경상남도 양산시 원동면 원동로 580
등록번호사무소명중개업소종별중개업자명직위사무소전화번호소재지주소
891가4330-853덕계그린부동산중개사무소공인중개사이미화대표055-366-4489경상남도 양산시 신명로 88 상가105호(평산동,동일스위트1차)
892가4330-857명성공인중개사사무소공인중개사강태석대표055-367-1600경상남도 양산시 동면 금오7길 2 , 1층
893가4330-872벽산공인중개사사무소공인중개사김장호대표055-374-8000경상남도 양산시 상북면 상북중앙로 300
894가4330-878비젼21부동산컨설팅공인중개사사무소공인중개사강정식대표055-364-3131경상남도 양산시 중앙로 168 , 2층(북부동)
895가4330-895대동이미지공인중개사사무소공인중개사윤재한대표055-367-8899경상남도 양산시 대운로 352 상가동 101호(삼호동,대동이미지타운1단지)
896가4330-934대박공인중개사사무소공인중개사김영숙대표미집계경상남도 양산시 물금읍 백호로 64 , 112호(센텀시티프라자)
897가4330-935삼보공인중개사사무소공인중개사신정화대표055-366-3230경상남도 양산시 물금읍 오봉로 169 , 상가동 405-1호(양산범어대동타운)
898가4330-948만경부동산공인중개사사무소공인중개사정병하대표055-383-8345경상남도 양산시 물금읍 황산로 647
899가4330-986주토공인중개사사무소공인중개사윤진국대표미집계경상남도 양산시 동면 곡리1길 3
900가4330-995신바람공인중개사사무소공인중개사안복선대표055-385-2003경상남도 양산시 물금읍 황산로 709 ,102호(경민아파트 상가)

Duplicate rows

Most frequently occurring

등록번호사무소명중개업소종별중개업자명직위사무소전화번호소재지주소# duplicates
048330-2023-00044오광공인중개사사무소공인중개사이양우대표055-366-2008경상남도 양산시 웅상대로 961 1층2
1가4330-2295J부동산중개사무소공인중개사최민정대표055-363-2453경상남도 양산시 북정중앙로 59 (북정동)2
2가4330-229725시공인중개사사무소공인중개사고정희대표055-387-2526경상남도 양산시 신명동로 9 (명동)2
3가4330-2301신장수공인중개사사무소공인중개사양희정대표055-383-3001경상남도 양산시 물금읍 야리로 89 , 317동 105호(양산물금양우내안애3차센트럴아파트)2
4가4330-2321금광공인중개사사무소공인중개사최명선대표055-367-8924경상남도 양산시 물금읍 가촌서8길 64 , 1층2
5가4330-2339이지부동산공인중개사사무소공인중개사양승조대표055-363-2100경상남도 양산시 물금읍 야리4길 13 , 109호(A1-city)2
6가4330-2343신도시공인중개사사무소공인중개사이원석대표055-362-8118경상남도 양산시 양산역로 105 ,102호(중부동, 골든프라자)2
7가4330-2388블루밍공인중개사사무소공인중개사김미선대표055-366-8898경상남도 양산시 양주로 39 , 상가105호(남부동, 양산신도시벽산블루밍아파트)2
8가4330-2397장수공인중개사사무소공인중개사채승희대표055-383-3001경상남도 양산시 물금읍 야리로 89 , 317동 105호(양산물금양우내안애3차센트럴아파트)2
9가4330-2416합동일신휴먼빌부동산공인중개사사무소공인중개사곽상훈대표055-364-3636경상남도 양산시 물금읍 범어로 13 상가동 104호(일신건영휴먼빌)2