Overview

Dataset statistics

Number of variables10
Number of observations2121
Missing cells1551
Missing cells (%)7.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory170.0 KiB
Average record size in memory82.1 B

Variable types

Text4
Categorical4
DateTime2

Dataset

Description김해시 부동산중개업자 현황에 대한 자료로 등록번호, 사업자상호, 중개업자명, 중개업자종별코드, 중개업자종별명 등에 대한 항목으로 구성되어 있습니다.
Author경상남도 김해시
URLhttps://www.data.go.kr/data/15033442/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
중개업자종별명 is highly overall correlated with 중개업자종별코드 and 2 other fieldsHigh correlation
중개업자종별코드 is highly overall correlated with 중개업자종별명 and 2 other fieldsHigh correlation
직위구분코드 is highly overall correlated with 중개업자종별코드 and 2 other fieldsHigh correlation
직위구분명 is highly overall correlated with 중개업자종별코드 and 2 other fieldsHigh correlation
중개업자종별코드 is highly imbalanced (51.4%)Imbalance
중개업자종별명 is highly imbalanced (51.4%)Imbalance
자격증번호 has 699 (33.0%) missing valuesMissing
자격증취득일 has 852 (40.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 19:14:11.470213
Analysis finished2023-12-12 19:14:12.369744
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Text

Distinct1289
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
2023-12-13T04:14:12.510414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length14.068364
Min length7

Characters and Unicode

Total characters29839
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

Unique736 ?
Unique (%)34.7%

Sample

1st row48250-2019-00031
2nd row가-4316-268
3rd row48250-2021-00022
4th row가-4316-1355
5th row48250-2018-00057
ValueCountFrequency (%)
48250-2018-00021 11
 
0.5%
가-4316-3370 10
 
0.5%
48250-2018-10044 8
 
0.4%
48250-2017-10023 8
 
0.4%
가-4316-1059 7
 
0.3%
48250-2016-00001 7
 
0.3%
가-4316-2814 6
 
0.3%
가-4316-3501 6
 
0.3%
48250-2015-00167 6
 
0.3%
48250-2019-00146 6
 
0.3%
Other values (1279) 2046
96.5%
2023-12-13T04:14:12.809214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6762
22.7%
- 4222
14.1%
2 3819
12.8%
1 3278
11.0%
4 2716
9.1%
5 2007
 
6.7%
8 2000
 
6.7%
3 1557
 
5.2%
6 1433
 
4.8%
가 798
 
2.7%
Other values (5) 1247
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24813
83.2%
Dash Punctuation 4222
 
14.1%
Other Letter 798
 
2.7%
Other Punctuation 2
 
< 0.1%
Uppercase Letter 2
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6762
27.3%
2 3819
15.4%
1 3278
13.2%
4 2716
10.9%
5 2007
 
8.1%
8 2000
 
8.1%
3 1557
 
6.3%
6 1433
 
5.8%
7 652
 
2.6%
9 589
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 4222
100.0%
Other Letter
ValueCountFrequency (%)
가 798
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 29039
97.3%
Hangul 798
 
2.7%
Latin 2
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6762
23.3%
- 4222
14.5%
2 3819
13.2%
1 3278
11.3%
4 2716
9.4%
5 2007
 
6.9%
8 2000
 
6.9%
3 1557
 
5.4%
6 1433
 
4.9%
7 652
 
2.2%
Other values (3) 593
 
2.0%
Hangul
ValueCountFrequency (%)
가 798
100.0%
Latin
ValueCountFrequency (%)
E 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29041
97.3%
Hangul 798
 
2.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6762
23.3%
- 4222
14.5%
2 3819
13.2%
1 3278
11.3%
4 2716
9.4%
5 2007
 
6.9%
8 2000
 
6.9%
3 1557
 
5.4%
6 1433
 
4.9%
7 652
 
2.2%
Other values (4) 595
 
2.0%
Hangul
ValueCountFrequency (%)
가 798
100.0%

사업자상호
Text

Distinct1034
Distinct (%)48.8%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
2023-12-13T04:14:12.996164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length10
Mean length11.092409
Min length7

Characters and Unicode

Total characters23527
Distinct characters399
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

Unique517 ?
Unique (%)24.4%

Sample

1st row세종부동산중개
2nd row금강부동산중개
3rd row뜨란채부동산중개사무소
4th row동원공인중개사사무소
5th row김강민부동산공인중개사사무소
ValueCountFrequency (%)
우주공인중개사사무소 14
 
0.7%
황금공인중개사사무소 14
 
0.7%
미래공인중개사사무소 13
 
0.6%
1등부동산공인중개사사무소 13
 
0.6%
미소공인중개사사무소 13
 
0.6%
우리공인중개사사무소 12
 
0.6%
가야공인중개사사무소 12
 
0.6%
행운공인중개사사무소 11
 
0.5%
강남공인중개사사무소 11
 
0.5%
평화공인중개사사무소 11
 
0.5%
Other values (1029) 2002
94.2%
2023-12-13T04:14:13.303824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 3937
16.7%
중 2142
 
9.1%
개 2125
 
9.0%
소 2038
 
8.7%
무 2019
 
8.6%
인 1930
 
8.2%
공 1896
 
8.1%
동 684
 
2.9%
산 622
 
2.6%
부 621
 
2.6%
Other values (389) 5513
23.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23168
98.5%
Uppercase Letter 173
 
0.7%
Decimal Number 100
 
0.4%
Lowercase Letter 30
 
0.1%
Open Punctuation 22
 
0.1%
Close Punctuation 22
 
0.1%
Space Separator 5
 
< 0.1%
Other Punctuation 5
 
< 0.1%
Dash Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 3937
17.0%
중 2142
9.2%
개 2125
9.2%
소 2038
 
8.8%
무 2019
 
8.7%
인 1930
 
8.3%
공 1896
 
8.2%
동 684
 
3.0%
산 622
 
2.7%
부 621
 
2.7%
Other values (345) 5154
22.2%
Uppercase Letter
ValueCountFrequency (%)
K 26
15.0%
O 20
 
11.6%
L 13
 
7.5%
T 10
 
5.8%
B 9
 
5.2%
A 9
 
5.2%
S 9
 
5.2%
E 8
 
4.6%
H 8
 
4.6%
N 7
 
4.0%
Other values (12) 54
31.2%
Decimal Number
ValueCountFrequency (%)
1 47
47.0%
4 23
23.0%
2 16
 
16.0%
9 3
 
3.0%
8 3
 
3.0%
7 3
 
3.0%
3 3
 
3.0%
0 2
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
e 14
46.7%
a 4
 
13.3%
l 4
 
13.3%
o 3
 
10.0%
h 3
 
10.0%
p 1
 
3.3%
t 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
& 4
80.0%
! 1
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23166
98.5%
Latin 203
 
0.9%
Common 156
 
0.7%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 3937
17.0%
중 2142
9.2%
개 2125
9.2%
소 2038
 
8.8%
무 2019
 
8.7%
인 1930
 
8.3%
공 1896
 
8.2%
동 684
 
3.0%
산 622
 
2.7%
부 621
 
2.7%
Other values (344) 5152
22.2%
Latin
ValueCountFrequency (%)
K 26
 
12.8%
O 20
 
9.9%
e 14
 
6.9%
L 13
 
6.4%
T 10
 
4.9%
B 9
 
4.4%
A 9
 
4.4%
S 9
 
4.4%
E 8
 
3.9%
H 8
 
3.9%
Other values (19) 77
37.9%
Common
ValueCountFrequency (%)
1 47
30.1%
4 23
14.7%
( 22
14.1%
) 22
14.1%
2 16
 
10.3%
5
 
3.2%
& 4
 
2.6%
9 3
 
1.9%
8 3
 
1.9%
7 3
 
1.9%
Other values (5) 8
 
5.1%
Han
ValueCountFrequency (%)
土 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23166
98.5%
ASCII 359
 
1.5%
CJK 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 3937
17.0%
중 2142
9.2%
개 2125
9.2%
소 2038
 
8.8%
무 2019
 
8.7%
인 1930
 
8.3%
공 1896
 
8.2%
동 684
 
3.0%
산 622
 
2.7%
부 621
 
2.7%
Other values (344) 5152
22.2%
ASCII
ValueCountFrequency (%)
1 47
 
13.1%
K 26
 
7.2%
4 23
 
6.4%
( 22
 
6.1%
) 22
 
6.1%
O 20
 
5.6%
2 16
 
4.5%
e 14
 
3.9%
L 13
 
3.6%
T 10
 
2.8%
Other values (34) 146
40.7%
CJK
ValueCountFrequency (%)
土 2
100.0%

중개업자명
Text

Distinct1971
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
2023-12-13T04:14:13.593967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9933993
Min length2

Characters and Unicode

Total characters6349
Distinct characters227
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

Unique1851 ?
Unique (%)87.3%

Sample

1st row감광문
2nd row감종석
3rd row강경철
4th row강균화
5th row강남희
ValueCountFrequency (%)
김영숙 6
 
0.3%
김미경 5
 
0.2%
김미숙 4
 
0.2%
김지영 4
 
0.2%
박정희 4
 
0.2%
김현주 3
 
0.1%
김정아 3
 
0.1%
정경희 3
 
0.1%
이현주 3
 
0.1%
김창수 3
 
0.1%
Other values (1961) 2083
98.2%
2023-12-13T04:14:14.024822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 466
 
7.3%
정 327
 
5.2%
이 273
 
4.3%
박 227
 
3.6%
영 219
 
3.4%
경 165
 
2.6%
미 164
 
2.6%
희 155
 
2.4%
숙 143
 
2.3%
현 133
 
2.1%
Other values (217) 4077
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6349
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 466
 
7.3%
정 327
 
5.2%
이 273
 
4.3%
박 227
 
3.6%
영 219
 
3.4%
경 165
 
2.6%
미 164
 
2.6%
희 155
 
2.4%
숙 143
 
2.3%
현 133
 
2.1%
Other values (217) 4077
64.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6349
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 466
 
7.3%
정 327
 
5.2%
이 273
 
4.3%
박 227
 
3.6%
영 219
 
3.4%
경 165
 
2.6%
미 164
 
2.6%
희 155
 
2.4%
숙 143
 
2.3%
현 133
 
2.1%
Other values (217) 4077
64.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6349
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 466
 
7.3%
정 327
 
5.2%
이 273
 
4.3%
박 227
 
3.6%
영 219
 
3.4%
경 165
 
2.6%
미 164
 
2.6%
희 155
 
2.4%
숙 143
 
2.3%
현 133
 
2.1%
Other values (217) 4077
64.2%

중개업자종별코드
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
2
1419 
4
685 
1
 
16
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row2
2nd row1
3rd row2
4th row2
5th row4

Common Values

ValueCountFrequency (%)
2 1419
66.9%
4 685
32.3%
1 16
 
0.8%
3 1
 
< 0.1%

Length

2023-12-13T04:14:14.144403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:14:14.230712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1419
66.9%
4 685
32.3%
1 16
 
0.8%
3 1
 
< 0.1%

중개업자종별명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
공인중개사
1419 
중개보조원
685 
중개인
 
16
법인
 
1

Length

Max length5
Median length5
Mean length4.9834983
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
공인중개사 1419
66.9%
중개보조원 685
32.3%
중개인 16
 
0.8%
법인 1
 
< 0.1%

Length

2023-12-13T04:14:14.326528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:14:14.423126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공인중개사 1419
66.9%
중개보조원 685
32.3%
중개인 16
 
0.8%
법인 1
 
< 0.1%

자격증번호
Text

MISSING 

Distinct1420
Distinct (%)99.9%
Missing699
Missing (%)33.0%
Memory size16.7 KiB
2023-12-13T04:14:14.618870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length11.485935
Min length2

Characters and Unicode

Total characters16333
Distinct characters47
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

Unique1418 ?
Unique (%)99.7%

Sample

1st row48-2017-00002
2nd row48-2014-00208
3rd row제2003-545호
4th row제2000-309호
5th row경남 2005-15-283
ValueCountFrequency (%)
경남 193
 
11.5%
부산 25
 
1.5%
경상남도 21
 
1.2%
부산광역시 6
 
0.4%
제 3
 
0.2%
제182호 2
 
0.1%
대구광역시 2
 
0.1%
48-2014-00141 2
 
0.1%
390 2
 
0.1%
48-2019-00541 1
 
0.1%
Other values (1425) 1425
84.7%
2023-12-13T04:14:14.938215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3215
19.7%
- 2024
12.4%
1 1963
12.0%
2 1911
11.7%
8 1079
 
6.6%
4 1065
 
6.5%
5 664
 
4.1%
6 612
 
3.7%
3 612
 
3.7%
7 573
 
3.5%
Other values (37) 2615
16.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12254
75.0%
Dash Punctuation 2024
 
12.4%
Other Letter 1537
 
9.4%
Space Separator 261
 
1.6%
Other Punctuation 113
 
0.7%
Open Punctuation 72
 
0.4%
Close Punctuation 72
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 427
27.8%
남 425
27.7%
제 190
12.4%
호 184
12.0%
산 86
 
5.6%
부 83
 
5.4%
도 31
 
2.0%
상 29
 
1.9%
시 14
 
0.9%
광 13
 
0.8%
Other values (20) 55
 
3.6%
Decimal Number
ValueCountFrequency (%)
0 3215
26.2%
1 1963
16.0%
2 1911
15.6%
8 1079
 
8.8%
4 1065
 
8.7%
5 664
 
5.4%
6 612
 
5.0%
3 612
 
5.0%
7 573
 
4.7%
9 560
 
4.6%
Open Punctuation
ValueCountFrequency (%)
( 71
98.6%
[ 1
 
1.4%
Close Punctuation
ValueCountFrequency (%)
) 71
98.6%
] 1
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 2024
100.0%
Space Separator
ValueCountFrequency (%)
261
100.0%
Other Punctuation
ValueCountFrequency (%)
. 113
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14796
90.6%
Hangul 1537
 
9.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 427
27.8%
남 425
27.7%
제 190
12.4%
호 184
12.0%
산 86
 
5.6%
부 83
 
5.4%
도 31
 
2.0%
상 29
 
1.9%
시 14
 
0.9%
광 13
 
0.8%
Other values (20) 55
 
3.6%
Common
ValueCountFrequency (%)
0 3215
21.7%
- 2024
13.7%
1 1963
13.3%
2 1911
12.9%
8 1079
 
7.3%
4 1065
 
7.2%
5 664
 
4.5%
6 612
 
4.1%
3 612
 
4.1%
7 573
 
3.9%
Other values (7) 1078
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14796
90.6%
Hangul 1537
 
9.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3215
21.7%
- 2024
13.7%
1 1963
13.3%
2 1911
12.9%
8 1079
 
7.3%
4 1065
 
7.2%
5 664
 
4.5%
6 612
 
4.1%
3 612
 
4.1%
7 573
 
3.9%
Other values (7) 1078
 
7.3%
Hangul
ValueCountFrequency (%)
경 427
27.8%
남 425
27.7%
제 190
12.4%
호 184
12.0%
산 86
 
5.6%
부 83
 
5.4%
도 31
 
2.0%
상 29
 
1.9%
시 14
 
0.9%
광 13
 
0.8%
Other values (20) 55
 
3.6%

자격증취득일
Date

MISSING 

Distinct271
Distinct (%)21.4%
Missing852
Missing (%)40.2%
Memory size16.7 KiB
Minimum1970-01-01 00:00:00
Maximum2021-05-07 00:00:00
2023-12-13T04:14:15.059189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:14:15.182570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

직위구분코드
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
1
1290 
4
831 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row4
4th row1
5th row4

Common Values

ValueCountFrequency (%)
1 1290
60.8%
4 831
39.2%

Length

2023-12-13T04:14:15.301869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:14:15.387919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1290
60.8%
4 831
39.2%

직위구분명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
대표
1290 
일반
831 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대표 1290
60.8%
일반 831
39.2%

Length

2023-12-13T04:14:15.477601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:14:15.568465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대표 1290
60.8%
일반 831
39.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
Minimum2022-10-19 00:00:00
Maximum2022-10-19 00:00:00
2023-12-13T04:14:15.645395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:14:15.726589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-13T04:14:15.794039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
중개업자종별코드중개업자종별명직위구분코드직위구분명
중개업자종별코드1.0001.0000.9760.976
중개업자종별명1.0001.0000.9760.976
직위구분코드0.9760.9761.0001.000
직위구분명0.9760.9761.0001.000
2023-12-13T04:14:15.885729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
중개업자종별명중개업자종별코드직위구분코드직위구분명
중개업자종별명1.0001.0000.8600.860
중개업자종별코드1.0001.0000.8600.860
직위구분코드0.8600.8601.0000.999
직위구분명0.8600.8600.9991.000
2023-12-13T04:14:15.975424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
중개업자종별코드중개업자종별명직위구분코드직위구분명
중개업자종별코드1.0001.0000.8600.860
중개업자종별명1.0001.0000.8600.860
직위구분코드0.8600.8601.0000.999
직위구분명0.8600.8600.9991.000

Missing values

2023-12-13T04:14:12.105597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:14:12.232820image/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.
2023-12-13T04:14:12.325202image/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

등록번호사업자상호중개업자명중개업자종별코드중개업자종별명자격증번호자격증취득일직위구분코드직위구분명데이터기준일자
048250-2019-00031세종부동산중개감광문2공인중개사48-2017-000022017-12-111대표2022-10-19
1가-4316-268금강부동산중개감종석1중개인<NA><NA>1대표2022-10-19
248250-2021-00022뜨란채부동산중개사무소강경철2공인중개사48-2014-002082014-12-154일반2022-10-19
3가-4316-1355동원공인중개사사무소강균화2공인중개사제2003-545호2003-11-201대표2022-10-19
448250-2018-00057김강민부동산공인중개사사무소강남희4중개보조원<NA><NA>4일반2022-10-19
5가-4316-3586협성공인중개사사무소강도형4중개보조원<NA><NA>4일반2022-10-19
6가-4316-1329참거래부동산중개강명숙4중개보조원<NA><NA>4일반2022-10-19
7가-4316-4044길부동산공인중개사사무소강명조2공인중개사제2000-309호2000-11-251대표2022-10-19
8가-4316-2000LBA부자부동산공인중개사사무소강미선2공인중개사경남 2005-15-2832005-07-131대표2022-10-19
948250-2018-00125성원공인중개사사무소강미선2공인중개사48-2017-000192017-12-114일반2022-10-19
등록번호사업자상호중개업자명중개업자종별코드중개업자종별명자격증번호자격증취득일직위구분코드직위구분명데이터기준일자
211148250-2019-00061삼계서희부동산공인중개사사무소황정규2공인중개사12-201<NA>1대표2022-10-19
211248250-2015-00186정인공인중개사사무소황정인2공인중개사2013-3952013-12-111대표2022-10-19
211348250-2009-000034히트공인중개사사무소황정한4중개보조원<NA><NA>4일반2022-10-19
211448250-2019-00147미소공인중개사사무소황종수4중개보조원<NA><NA>4일반2022-10-19
2115가-4316-2946행복공인중개사사무소황종열4중개보조원<NA><NA>4일반2022-10-19
211648250-2017-00008엄지공인중개사사무소황준철4중개보조원<NA><NA>4일반2022-10-19
211748250-2019-00117새1등공인중개사사무소황지영2공인중개사경상남도 48-2018-009102018-12-101대표2022-10-19
2118가-4316-2018스카이캐슬공인중개사사무소황태욱4중개보조원<NA><NA>4일반2022-10-19
211948250-2018-00103협성엘리시안부동산공인중개사사무소황태현2공인중개사20-005812009-12-141대표2022-10-19
2120가-4316-3280청솔공인중개사사무소황해순2공인중개사경남 2011-6342011-12-061대표2022-10-19