Overview

Dataset statistics

Number of variables10
Number of observations1772
Missing cells791
Missing cells (%)4.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory138.6 KiB
Average record size in memory80.1 B

Variable types

Text5
Categorical1
DateTime4

Dataset

Description전북특별자치도 전주시 내 부동산 중개업소 현황입니다. 등록번호, 상호, 소재지, 등록일자 등을 제공합니다.항목 : 등록번호, 상호, 소재시, 등록일자, 보증일자제공부서 : 부동산조사거래단, 구청 민원봉사실
Author전북특별자치도 전주시
URLhttps://www.data.go.kr/data/15075088/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
상태 is highly imbalanced (98.2%)Imbalance
전화번호 has 778 (43.9%) missing valuesMissing
등록번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 10:59:35.167485
Analysis finished2024-03-14 10:59:37.401421
Duration2.23 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Text

UNIQUE 

Distinct1772
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
2024-03-14T19:59:38.124207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length14.61456
Min length9

Characters and Unicode

Total characters25897
Distinct characters15
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

Unique1772 ?
Unique (%)100.0%

Sample

1st row45111-2021-00098-003
2nd row45113-2020-00090
3rd row45113-2015-00053
4th row45113-2018-00029
5th row451113-2019-00069
ValueCountFrequency (%)
45111-2021-00098-003 1
 
0.1%
가1701-2295 1
 
0.1%
45111-2022-00047 1
 
0.1%
45111-2019-00030 1
 
0.1%
가1701-01-0599 1
 
0.1%
가1701-2923 1
 
0.1%
가1701-01-0012 1
 
0.1%
45111-2022-00046 1
 
0.1%
45111-2018-00106 1
 
0.1%
45111-2019-00019 1
 
0.1%
Other values (1763) 1763
99.4%
2024-03-14T19:59:39.430088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6346
24.5%
1 5994
23.1%
- 3320
12.8%
2 2626
10.1%
4 1666
 
6.4%
5 1655
 
6.4%
3 1121
 
4.3%
7 1098
 
4.2%
가 582
 
2.2%
8 514
 
2.0%
Other values (5) 975
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21985
84.9%
Dash Punctuation 3320
 
12.8%
Other Letter 591
 
2.3%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6346
28.9%
1 5994
27.3%
2 2626
11.9%
4 1666
 
7.6%
5 1655
 
7.5%
3 1121
 
5.1%
7 1098
 
5.0%
8 514
 
2.3%
9 485
 
2.2%
6 480
 
2.2%
Other Letter
ValueCountFrequency (%)
가 582
98.5%
나 8
 
1.4%
제 1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 3320
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25306
97.7%
Hangul 591
 
2.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6346
25.1%
1 5994
23.7%
- 3320
13.1%
2 2626
10.4%
4 1666
 
6.6%
5 1655
 
6.5%
3 1121
 
4.4%
7 1098
 
4.3%
8 514
 
2.0%
9 485
 
1.9%
Other values (2) 481
 
1.9%
Hangul
ValueCountFrequency (%)
가 582
98.5%
나 8
 
1.4%
제 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25306
97.7%
Hangul 591
 
2.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6346
25.1%
1 5994
23.7%
- 3320
13.1%
2 2626
10.4%
4 1666
 
6.6%
5 1655
 
6.5%
3 1121
 
4.4%
7 1098
 
4.3%
8 514
 
2.0%
9 485
 
1.9%
Other values (2) 481
 
1.9%
Hangul
ValueCountFrequency (%)
가 582
98.5%
나 8
 
1.4%
제 1
 
0.2%

상호
Text

Distinct1725
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
2024-03-14T19:59:40.668032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length11.314898
Min length6

Characters and Unicode

Total characters20050
Distinct characters505
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

Unique1678 ?
Unique (%)94.7%

Sample

1st row유한회사라이브부동산중개법인 서울분사무소
2nd row이지 공인중개사사무소
3rd row다원 공인중개사사무소
4th row보람 공인중개사사무소
5th row장터공인중개사무소
ValueCountFrequency (%)
공인중개사사무소 507
 
20.4%
공인중개사 69
 
2.8%
사무소 66
 
2.7%
부동산중개사무소 13
 
0.5%
부동산 5
 
0.2%
더 3
 
0.1%
vip공인중개사사무소 3
 
0.1%
에코 3
 
0.1%
전주 3
 
0.1%
믿음공인중개사사무소 3
 
0.1%
Other values (1760) 1815
72.9%
2024-03-14T19:59:42.351912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 3426
17.1%
중 1784
 
8.9%
개 1778
 
8.9%
소 1731
 
8.6%
인 1725
 
8.6%
무 1722
 
8.6%
공 1687
 
8.4%
719
 
3.6%
동 204
 
1.0%
산 204
 
1.0%
Other values (495) 5070
25.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19016
94.8%
Space Separator 719
 
3.6%
Uppercase Letter 186
 
0.9%
Decimal Number 53
 
0.3%
Lowercase Letter 48
 
0.2%
Other Punctuation 7
 
< 0.1%
Open Punctuation 6
 
< 0.1%
Close Punctuation 6
 
< 0.1%
Dash Punctuation 5
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 3426
18.0%
중 1784
 
9.4%
개 1778
 
9.4%
소 1731
 
9.1%
인 1725
 
9.1%
무 1722
 
9.1%
공 1687
 
8.9%
동 204
 
1.1%
산 204
 
1.1%
부 197
 
1.0%
Other values (443) 4558
24.0%
Uppercase Letter
ValueCountFrequency (%)
K 27
14.5%
T 19
 
10.2%
A 13
 
7.0%
O 12
 
6.5%
P 12
 
6.5%
S 10
 
5.4%
L 9
 
4.8%
B 9
 
4.8%
I 9
 
4.8%
E 8
 
4.3%
Other values (13) 58
31.2%
Lowercase Letter
ValueCountFrequency (%)
e 17
35.4%
h 12
25.0%
l 3
 
6.2%
w 3
 
6.2%
n 2
 
4.2%
u 2
 
4.2%
t 2
 
4.2%
a 2
 
4.2%
m 1
 
2.1%
r 1
 
2.1%
Other values (3) 3
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 16
30.2%
2 10
18.9%
4 7
13.2%
3 5
 
9.4%
8 5
 
9.4%
5 4
 
7.5%
6 3
 
5.7%
9 3
 
5.7%
Other Punctuation
ValueCountFrequency (%)
. 5
71.4%
& 1
 
14.3%
, 1
 
14.3%
Space Separator
ValueCountFrequency (%)
719
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19013
94.8%
Common 800
 
4.0%
Latin 234
 
1.2%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 3426
18.0%
중 1784
 
9.4%
개 1778
 
9.4%
소 1731
 
9.1%
인 1725
 
9.1%
무 1722
 
9.1%
공 1687
 
8.9%
동 204
 
1.1%
산 204
 
1.1%
부 197
 
1.0%
Other values (440) 4555
24.0%
Latin
ValueCountFrequency (%)
K 27
 
11.5%
T 19
 
8.1%
e 17
 
7.3%
A 13
 
5.6%
O 12
 
5.1%
P 12
 
5.1%
h 12
 
5.1%
S 10
 
4.3%
L 9
 
3.8%
B 9
 
3.8%
Other values (26) 94
40.2%
Common
ValueCountFrequency (%)
719
89.9%
1 16
 
2.0%
2 10
 
1.2%
4 7
 
0.9%
( 6
 
0.8%
) 6
 
0.8%
- 5
 
0.6%
3 5
 
0.6%
8 5
 
0.6%
. 5
 
0.6%
Other values (6) 16
 
2.0%
Han
ValueCountFrequency (%)
延 1
33.3%
公 1
33.3%
地 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19013
94.8%
ASCII 1034
 
5.2%
CJK 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 3426
18.0%
중 1784
 
9.4%
개 1778
 
9.4%
소 1731
 
9.1%
인 1725
 
9.1%
무 1722
 
9.1%
공 1687
 
8.9%
동 204
 
1.1%
산 204
 
1.1%
부 197
 
1.0%
Other values (440) 4555
24.0%
ASCII
ValueCountFrequency (%)
719
69.5%
K 27
 
2.6%
T 19
 
1.8%
e 17
 
1.6%
1 16
 
1.5%
A 13
 
1.3%
O 12
 
1.2%
P 12
 
1.2%
h 12
 
1.2%
S 10
 
1.0%
Other values (42) 177
 
17.1%
CJK
ValueCountFrequency (%)
延 1
33.3%
公 1
33.3%
地 1
33.3%

대표자
Text

Distinct1682
Distinct (%)95.0%
Missing1
Missing (%)0.1%
Memory size14.0 KiB
2024-03-14T19:59:43.806969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9898363
Min length2

Characters and Unicode

Total characters5295
Distinct characters222
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

Unique1603 ?
Unique (%)90.5%

Sample

1st row하태극
2nd row최형곤
3rd row신정덕
4th row백서진
5th row서선녀
ValueCountFrequency (%)
이정숙 4
 
0.2%
김경희 4
 
0.2%
김현주 3
 
0.2%
이강영 3
 
0.2%
김정숙 3
 
0.2%
김민정 3
 
0.2%
김성수 3
 
0.2%
최미숙 3
 
0.2%
문은경 2
 
0.1%
이지영 2
 
0.1%
Other values (1672) 1741
98.3%
2024-03-14T19:59:45.684892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 377
 
7.1%
이 266
 
5.0%
정 225
 
4.2%
박 162
 
3.1%
영 153
 
2.9%
희 132
 
2.5%
현 116
 
2.2%
숙 106
 
2.0%
최 106
 
2.0%
경 103
 
1.9%
Other values (212) 3549
67.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5295
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 377
 
7.1%
이 266
 
5.0%
정 225
 
4.2%
박 162
 
3.1%
영 153
 
2.9%
희 132
 
2.5%
현 116
 
2.2%
숙 106
 
2.0%
최 106
 
2.0%
경 103
 
1.9%
Other values (212) 3549
67.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5295
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 377
 
7.1%
이 266
 
5.0%
정 225
 
4.2%
박 162
 
3.1%
영 153
 
2.9%
희 132
 
2.5%
현 116
 
2.2%
숙 106
 
2.0%
최 106
 
2.0%
경 103
 
1.9%
Other values (212) 3549
67.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5295
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 377
 
7.1%
이 266
 
5.0%
정 225
 
4.2%
박 162
 
3.1%
영 153
 
2.9%
희 132
 
2.5%
현 116
 
2.2%
숙 106
 
2.0%
최 106
 
2.0%
경 103
 
1.9%
Other values (212) 3549
67.0%

소재지
Text

Distinct1656
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
2024-03-14T19:59:47.084870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length52
Mean length31.723476
Min length21

Characters and Unicode

Total characters56214
Distinct characters341
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

Unique1568 ?
Unique (%)88.5%

Sample

1st row서울특별시 서초구 강남대로95길 19-4, 6층 603호
2nd row전북특별자치도 전주시 덕진구 가련산로 18, 101호
3rd row전북특별자치도 전주시 덕진구 가련산로 24-11
4th row전북특별자치도 전주시 덕진구 가련산로 24-12, 114동 103호(덕진동2가)
5th row전북특별자치도 전주시 덕진구 가련산로 26-9
ValueCountFrequency (%)
전북특별자치도 1771
 
16.2%
전주시 1771
 
16.2%
덕진구 917
 
8.4%
완산구 854
 
7.8%
1층 218
 
2.0%
101호 115
 
1.1%
상가 105
 
1.0%
상가동 102
 
0.9%
102호 91
 
0.8%
세병로 69
 
0.6%
Other values (1797) 4905
44.9%
2024-03-14T19:59:49.109456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9146
 
16.3%
전 3676
 
6.5%
1 2950
 
5.2%
자 1907
 
3.4%
시 1836
 
3.3%
주 1815
 
3.2%
구 1810
 
3.2%
북 1806
 
3.2%
도 1774
 
3.2%
별 1773
 
3.2%
Other values (331) 27721
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35185
62.6%
Space Separator 9146
 
16.3%
Decimal Number 8949
 
15.9%
Other Punctuation 1398
 
2.5%
Open Punctuation 566
 
1.0%
Close Punctuation 565
 
1.0%
Dash Punctuation 331
 
0.6%
Uppercase Letter 70
 
0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 3676
 
10.4%
자 1907
 
5.4%
시 1836
 
5.2%
주 1815
 
5.2%
구 1810
 
5.1%
북 1806
 
5.1%
도 1774
 
5.0%
별 1773
 
5.0%
특 1772
 
5.0%
치 1771
 
5.0%
Other values (300) 15245
43.3%
Uppercase Letter
ValueCountFrequency (%)
B 35
50.0%
A 13
 
18.6%
L 7
 
10.0%
C 5
 
7.1%
D 3
 
4.3%
H 2
 
2.9%
E 1
 
1.4%
K 1
 
1.4%
O 1
 
1.4%
G 1
 
1.4%
Decimal Number
ValueCountFrequency (%)
1 2950
33.0%
2 1297
14.5%
0 1177
 
13.2%
3 842
 
9.4%
4 618
 
6.9%
5 536
 
6.0%
6 438
 
4.9%
7 418
 
4.7%
8 360
 
4.0%
9 313
 
3.5%
Other Punctuation
ValueCountFrequency (%)
, 1329
95.1%
@ 67
 
4.8%
. 1
 
0.1%
/ 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 3
75.0%
a 1
 
25.0%
Space Separator
ValueCountFrequency (%)
9146
100.0%
Open Punctuation
ValueCountFrequency (%)
( 566
100.0%
Close Punctuation
ValueCountFrequency (%)
) 565
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 331
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35185
62.6%
Common 20955
37.3%
Latin 74
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 3676
 
10.4%
자 1907
 
5.4%
시 1836
 
5.2%
주 1815
 
5.2%
구 1810
 
5.1%
북 1806
 
5.1%
도 1774
 
5.0%
별 1773
 
5.0%
특 1772
 
5.0%
치 1771
 
5.0%
Other values (300) 15245
43.3%
Common
ValueCountFrequency (%)
9146
43.6%
1 2950
 
14.1%
, 1329
 
6.3%
2 1297
 
6.2%
0 1177
 
5.6%
3 842
 
4.0%
4 618
 
2.9%
( 566
 
2.7%
) 565
 
2.7%
5 536
 
2.6%
Other values (8) 1929
 
9.2%
Latin
ValueCountFrequency (%)
B 35
47.3%
A 13
 
17.6%
L 7
 
9.5%
C 5
 
6.8%
e 3
 
4.1%
D 3
 
4.1%
H 2
 
2.7%
E 1
 
1.4%
K 1
 
1.4%
O 1
 
1.4%
Other values (3) 3
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35185
62.6%
ASCII 21029
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9146
43.5%
1 2950
 
14.0%
, 1329
 
6.3%
2 1297
 
6.2%
0 1177
 
5.6%
3 842
 
4.0%
4 618
 
2.9%
( 566
 
2.7%
) 565
 
2.7%
5 536
 
2.5%
Other values (21) 2003
 
9.5%
Hangul
ValueCountFrequency (%)
전 3676
 
10.4%
자 1907
 
5.4%
시 1836
 
5.2%
주 1815
 
5.2%
구 1810
 
5.1%
북 1806
 
5.1%
도 1774
 
5.0%
별 1773
 
5.0%
특 1772
 
5.0%
치 1771
 
5.0%
Other values (300) 15245
43.3%

전화번호
Text

MISSING 

Distinct969
Distinct (%)97.5%
Missing778
Missing (%)43.9%
Memory size14.0 KiB
2024-03-14T19:59:50.008776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length12
Mean length12.739437
Min length12

Characters and Unicode

Total characters12663
Distinct characters15
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique945 ?
Unique (%)95.1%

Sample

1st row070-4114-7387
2nd row063-254-3377
3rd row063-274-8989, 063-274-4747, 063-255-7766
4th row063-275-6542
5th row063-274-5888
ValueCountFrequency (%)
063-228-8944 3
 
0.3%
063-277-4114 2
 
0.2%
063-288-9900 2
 
0.2%
063-224-5768 2
 
0.2%
063-236-5242 2
 
0.2%
063-278-4989 2
 
0.2%
063-225-2317 2
 
0.2%
063-255-8690 2
 
0.2%
063-225-2288 2
 
0.2%
063-251-5454 2
 
0.2%
Other values (1010) 1026
98.0%
2024-03-14T19:59:51.331595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2091
16.5%
2 1851
14.6%
0 1757
13.9%
3 1529
12.1%
6 1434
11.3%
4 772
 
6.1%
5 674
 
5.3%
7 664
 
5.2%
8 644
 
5.1%
9 590
 
4.7%
Other values (5) 657
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10465
82.6%
Dash Punctuation 2091
 
16.5%
Space Separator 53
 
0.4%
Other Punctuation 52
 
0.4%
Other Letter 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1851
17.7%
0 1757
16.8%
3 1529
14.6%
6 1434
13.7%
4 772
7.4%
5 674
 
6.4%
7 664
 
6.3%
8 644
 
6.2%
9 590
 
5.6%
1 550
 
5.3%
Other Letter
ValueCountFrequency (%)
팩 1
50.0%
스 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 2091
100.0%
Space Separator
ValueCountFrequency (%)
53
100.0%
Other Punctuation
ValueCountFrequency (%)
, 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12661
> 99.9%
Hangul 2
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2091
16.5%
2 1851
14.6%
0 1757
13.9%
3 1529
12.1%
6 1434
11.3%
4 772
 
6.1%
5 674
 
5.3%
7 664
 
5.2%
8 644
 
5.1%
9 590
 
4.7%
Other values (3) 655
 
5.2%
Hangul
ValueCountFrequency (%)
팩 1
50.0%
스 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12661
> 99.9%
Hangul 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2091
16.5%
2 1851
14.6%
0 1757
13.9%
3 1529
12.1%
6 1434
11.3%
4 772
 
6.1%
5 674
 
5.3%
7 664
 
5.2%
8 644
 
5.1%
9 590
 
4.7%
Other values (3) 655
 
5.2%
Hangul
ValueCountFrequency (%)
팩 1
50.0%
스 1
50.0%

상태
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
영업중
1769 
휴업
 
3

Length

Max length3
Median length3
Mean length2.998307
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 1769
99.8%
휴업 3
 
0.2%

Length

2024-03-14T19:59:51.766513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:59:52.099904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1769
99.8%
휴업 3
 
0.2%

등록일자
Date

Distinct1281
Distinct (%)72.3%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
Minimum1984-05-31 00:00:00
Maximum2022-06-28 00:00:00
2024-03-14T19:59:52.435630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:59:52.880082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

보증설정시작일
Date

Distinct409
Distinct (%)23.2%
Missing6
Missing (%)0.3%
Memory size14.0 KiB
Minimum2017-12-21 00:00:00
Maximum2022-07-30 00:00:00
2024-03-14T19:59:53.270345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:59:53.698643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

보증설정종료일
Date

Distinct407
Distinct (%)23.0%
Missing6
Missing (%)0.3%
Memory size14.0 KiB
Minimum2020-06-15 00:00:00
Maximum2025-11-17 00:00:00
2024-03-14T19:59:54.106988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:59:54.540599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
Minimum2024-01-11 00:00:00
Maximum2024-01-11 00:00:00
2024-03-14T19:59:54.890605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:59:55.199762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2024-03-14T19:59:36.409748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T19:59:36.892245image/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.
2024-03-14T19:59:37.235744image/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

등록번호상호대표자소재지전화번호상태등록일자보증설정시작일보증설정종료일데이터기준일자
045111-2021-00098-003유한회사라이브부동산중개법인 서울분사무소하태극서울특별시 서초구 강남대로95길 19-4, 6층 603호<NA>영업중2022-06-28<NA><NA>2024-01-11
145113-2020-00090이지 공인중개사사무소최형곤전북특별자치도 전주시 덕진구 가련산로 18, 101호<NA>영업중2020-07-202022-07-202023-07-192024-01-11
245113-2015-00053다원 공인중개사사무소신정덕전북특별자치도 전주시 덕진구 가련산로 24-11070-4114-7387영업중2015-04-222022-04-222023-04-212024-01-11
345113-2018-00029보람 공인중개사사무소백서진전북특별자치도 전주시 덕진구 가련산로 24-12, 114동 103호(덕진동2가)063-254-3377영업중2018-02-232022-02-232023-02-222024-01-11
4451113-2019-00069장터공인중개사무소서선녀전북특별자치도 전주시 덕진구 가련산로 26-9<NA>영업중2010-06-242021-12-132022-12-122024-01-11
545113-2019-00161씨너지 공인중개사사무소최지훈전북특별자치도 전주시 덕진구 가련산로 5, 502호 2호실<NA>영업중2020-01-022022-01-022023-01-012024-01-11
6가1701-02-0263All That 다사랑 공인중개사사무소정진석전북특별자치도 전주시 덕진구 가련산로 6, 예담빌딩 101호(덕진동2가)063-274-8989, 063-274-4747, 063-255-7766영업중2012-02-202022-01-152023-01-142024-01-11
7가1701-02-0440박사 공인중개사사무소나정현전북특별자치도 전주시 덕진구 가리내3길 17, 102호<NA>영업중2013-11-082021-10-282022-10-272024-01-11
845113-2022-00025이향희공인중개사사무소이향희전북특별자치도 전주시 덕진구 가리내3길 20-9, 101호<NA>영업중2022-03-112022-03-112023-03-102024-01-11
945113-2021-00009위드공인중개사사무소이희홍전북특별자치도 전주시 덕진구 가리내4길 11, 102호<NA>영업중2021-01-152022-01-152023-01-142024-01-11
등록번호상호대표자소재지전화번호상태등록일자보증설정시작일보증설정종료일데이터기준일자
1762가1701-01-0074마당발공인중개사사무소이요왕전북특별자치도 전주시 완산구 효천중앙로 22, 지하104호063-232-7773영업중2007-12-182021-12-272022-12-262024-01-11
176345111-2015-00148베테랑공인중개사사무소강미란전북특별자치도 전주시 완산구 효천중앙로 30, B동 B105호063-232-0900영업중2015-12-112021-12-112022-12-102024-01-11
176445111-2020-00091우솔공인중개사사무소임세진전북특별자치도 전주시 완산구 효천중앙로 30, 근린생활시설B동 101호<NA>영업중2018-02-192022-02-192023-02-182024-01-11
176545111-2015-00095효천오은공인중개사사무소노승범전북특별자치도 전주시 완산구 효천중앙로 30, 대방상가 B동 B103호(효자동2가)063-223-0888영업중2015-06-192022-06-192023-06-182024-01-11
176645111-2017-00098리빙공인중개사사무소이상국전북특별자치도 전주시 완산구 효천천변길 20063-229-0009영업중2017-06-012021-08-192022-08-182024-01-11
176745111-2015-00114LBA멘토법률공인중개사사무소최병갑전북특별자치도 전주시 완산구 후곡길 23-23(1층 우측)063-221-8856영업중2017-02-222021-09-072022-09-062024-01-11
176845111-2015-00094멘토공인중개사사무소전지선전북특별자치도 전주시 완산구 후곡길 23-23, 1층<NA>영업중2017-02-222019-06-162020-06-152024-01-11
176945111-2018-00065새연공인중개사사무소이은주전북특별자치도 전주시 완산구 후곡길 6-11, 102호<NA>영업중2018-05-082022-05-082023-05-072024-01-11
1770가1701-2319한별공인중개사사무소박명희전북특별자치도 전주시 완산구 흑석로 40(서서학동)063-286-6660영업중2004-03-292022-03-292023-03-282024-01-11
1771가1701-01-0558소나무공인중개사사무소황의권전북특별자치도 전주시 완산구 흑석로 58(서서학동)<NA>영업중2013-01-032022-02-052023-02-042024-01-11