Overview

Dataset statistics

Number of variables10
Number of observations173
Missing cells71
Missing cells (%)4.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.8 KiB
Average record size in memory81.8 B

Variable types

Numeric1
Text5
Categorical3
DateTime1

Dataset

Description충청북도 음성군에서 영업중인 부동산 중개업소의 현황에 대하여 등록한 데이터로 등록번호, 상호면, 대표자 성함 소재지 등을 제공합니다.
Author충청북도 음성군
URLhttps://www.data.go.kr/data/3063948/fileData.do

Alerts

직위 has constant value ""Constant
데이터기준일자 has constant value ""Constant
중개업자구분 is highly imbalanced (78.3%)Imbalance
사무소전화번호 has 71 (41.0%) missing valuesMissing
연번 has unique valuesUnique
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:18:15.563481
Analysis finished2023-12-12 05:18:16.454913
Duration0.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct173
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87
Minimum1
Maximum173
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T14:18:16.552614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.6
Q144
median87
Q3130
95-th percentile164.4
Maximum173
Range172
Interquartile range (IQR)86

Descriptive statistics

Standard deviation50.084928
Coefficient of variation (CV)0.57568883
Kurtosis-1.2
Mean87
Median Absolute Deviation (MAD)43
Skewness0
Sum15051
Variance2508.5
MonotonicityStrictly increasing
2023-12-12T14:18:16.719023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
120 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
116 1
 
0.6%
117 1
 
0.6%
118 1
 
0.6%
119 1
 
0.6%
Other values (163) 163
94.2%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
173 1
0.6%
172 1
0.6%
171 1
0.6%
170 1
0.6%
169 1
0.6%
168 1
0.6%
167 1
0.6%
166 1
0.6%
165 1
0.6%
164 1
0.6%

등록번호
Text

UNIQUE 

Distinct173
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T14:18:17.008307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length14.248555
Min length9

Characters and Unicode

Total characters2465
Distinct characters12
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

Unique173 ?
Unique (%)100.0%

Sample

1st row가-3832-62
2nd row가-3832-104
3rd row가-3832-123
4th row가-3832-155
5th row가-3832-161
ValueCountFrequency (%)
가-3832-62 1
 
0.6%
43770-2022-00007 1
 
0.6%
43770-2018-00057 1
 
0.6%
43770-2019-00006 1
 
0.6%
43770-2019-00009 1
 
0.6%
43770-2019-00010 1
 
0.6%
43770-2019-00013 1
 
0.6%
43770-2019-00017 1
 
0.6%
43770-2019-00020 1
 
0.6%
43770-2019-00024 1
 
0.6%
Other values (163) 163
94.2%
2023-12-12T14:18:17.828228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 691
28.0%
- 345
14.0%
2 311
12.6%
3 290
11.8%
7 285
11.6%
4 173
 
7.0%
1 133
 
5.4%
8 92
 
3.7%
가 50
 
2.0%
5 37
 
1.5%
Other values (2) 58
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2070
84.0%
Dash Punctuation 345
 
14.0%
Other Letter 50
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 691
33.4%
2 311
15.0%
3 290
14.0%
7 285
13.8%
4 173
 
8.4%
1 133
 
6.4%
8 92
 
4.4%
5 37
 
1.8%
6 30
 
1.4%
9 28
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 345
100.0%
Other Letter
ValueCountFrequency (%)
가 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2415
98.0%
Hangul 50
 
2.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 691
28.6%
- 345
14.3%
2 311
12.9%
3 290
12.0%
7 285
11.8%
4 173
 
7.2%
1 133
 
5.5%
8 92
 
3.8%
5 37
 
1.5%
6 30
 
1.2%
Hangul
ValueCountFrequency (%)
가 50
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2415
98.0%
Hangul 50
 
2.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 691
28.6%
- 345
14.3%
2 311
12.9%
3 290
12.0%
7 285
11.8%
4 173
 
7.2%
1 133
 
5.5%
8 92
 
3.8%
5 37
 
1.5%
6 30
 
1.2%
Hangul
ValueCountFrequency (%)
가 50
100.0%

사무소명
Text

Distinct172
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T14:18:18.147073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length11.323699
Min length7

Characters and Unicode

Total characters1959
Distinct characters199
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique171 ?
Unique (%)98.8%

Sample

1st row유일공인중개사사무소
2nd row한양공인중개사사무소
3rd row알파공인중개사사무소
4th row예일부동산공인중개사사무소
5th row일출공인중개사사무소
ValueCountFrequency (%)
행복한공인중개사사무소 2
 
1.2%
털보공인중개사사무소 1
 
0.6%
휴부동산중개사무소 1
 
0.6%
지평부동산중개 1
 
0.6%
대박공인중개사사무소 1
 
0.6%
가야공인중개사사무소 1
 
0.6%
서울공인중개사사무소 1
 
0.6%
서춘석공인중개사사무소 1
 
0.6%
오케이부동산중개법인주식회사 1
 
0.6%
지평공인중개사사무소 1
 
0.6%
Other values (162) 162
93.6%
2023-12-12T14:18:18.611035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 326
16.6%
중 175
 
8.9%
개 173
 
8.8%
소 171
 
8.7%
무 170
 
8.7%
인 162
 
8.3%
공 155
 
7.9%
동 59
 
3.0%
산 58
 
3.0%
부 54
 
2.8%
Other values (189) 456
23.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1926
98.3%
Uppercase Letter 16
 
0.8%
Decimal Number 15
 
0.8%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 326
16.9%
중 175
9.1%
개 173
9.0%
소 171
8.9%
무 170
8.8%
인 162
 
8.4%
공 155
 
8.0%
동 59
 
3.1%
산 58
 
3.0%
부 54
 
2.8%
Other values (169) 423
22.0%
Uppercase Letter
ValueCountFrequency (%)
S 3
18.8%
K 3
18.8%
A 2
12.5%
Y 1
 
6.2%
M 1
 
6.2%
C 1
 
6.2%
L 1
 
6.2%
B 1
 
6.2%
G 1
 
6.2%
J 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 8
53.3%
4 2
 
13.3%
2 1
 
6.7%
3 1
 
6.7%
5 1
 
6.7%
6 1
 
6.7%
9 1
 
6.7%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1926
98.3%
Common 17
 
0.9%
Latin 16
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 326
16.9%
중 175
9.1%
개 173
9.0%
소 171
8.9%
무 170
8.8%
인 162
 
8.4%
공 155
 
8.0%
동 59
 
3.1%
산 58
 
3.0%
부 54
 
2.8%
Other values (169) 423
22.0%
Latin
ValueCountFrequency (%)
S 3
18.8%
K 3
18.8%
A 2
12.5%
Y 1
 
6.2%
M 1
 
6.2%
C 1
 
6.2%
L 1
 
6.2%
B 1
 
6.2%
G 1
 
6.2%
J 1
 
6.2%
Common
ValueCountFrequency (%)
1 8
47.1%
4 2
 
11.8%
) 1
 
5.9%
2 1
 
5.9%
( 1
 
5.9%
3 1
 
5.9%
5 1
 
5.9%
6 1
 
5.9%
9 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1926
98.3%
ASCII 33
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 326
16.9%
중 175
9.1%
개 173
9.0%
소 171
8.9%
무 170
8.8%
인 162
 
8.4%
공 155
 
8.0%
동 59
 
3.1%
산 58
 
3.0%
부 54
 
2.8%
Other values (169) 423
22.0%
ASCII
ValueCountFrequency (%)
1 8
24.2%
S 3
 
9.1%
K 3
 
9.1%
A 2
 
6.1%
4 2
 
6.1%
Y 1
 
3.0%
) 1
 
3.0%
2 1
 
3.0%
M 1
 
3.0%
C 1
 
3.0%
Other values (10) 10
30.3%

중개업자명
Text

Distinct171
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T14:18:18.983177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9942197
Min length2

Characters and Unicode

Total characters518
Distinct characters128
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

Unique169 ?
Unique (%)97.7%

Sample

1st row이기우
2nd row이환춘
3rd row서현택
4th row이강준
5th row이성재
ValueCountFrequency (%)
이건호 2
 
1.2%
김영란 2
 
1.2%
김성현 1
 
0.6%
임혜숙 1
 
0.6%
김관호 1
 
0.6%
이영일 1
 
0.6%
강석창 1
 
0.6%
이기우 1
 
0.6%
김인기 1
 
0.6%
염달호 1
 
0.6%
Other values (161) 161
93.1%
2023-12-12T14:18:19.507871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 36
 
6.9%
김 29
 
5.6%
정 20
 
3.9%
영 16
 
3.1%
병 12
 
2.3%
석 11
 
2.1%
숙 11
 
2.1%
미 10
 
1.9%
박 9
 
1.7%
경 9
 
1.7%
Other values (118) 355
68.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 518
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 36
 
6.9%
김 29
 
5.6%
정 20
 
3.9%
영 16
 
3.1%
병 12
 
2.3%
석 11
 
2.1%
숙 11
 
2.1%
미 10
 
1.9%
박 9
 
1.7%
경 9
 
1.7%
Other values (118) 355
68.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 518
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 36
 
6.9%
김 29
 
5.6%
정 20
 
3.9%
영 16
 
3.1%
병 12
 
2.3%
석 11
 
2.1%
숙 11
 
2.1%
미 10
 
1.9%
박 9
 
1.7%
경 9
 
1.7%
Other values (118) 355
68.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 518
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 36
 
6.9%
김 29
 
5.6%
정 20
 
3.9%
영 16
 
3.1%
병 12
 
2.3%
석 11
 
2.1%
숙 11
 
2.1%
미 10
 
1.9%
박 9
 
1.7%
경 9
 
1.7%
Other values (118) 355
68.5%

직위
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
대표
173 

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 173
100.0%

Length

2023-12-12T14:18:19.707818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:18:19.825608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대표 173
100.0%

중개업자구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
공인중개사
167 
중개인
 
6

Length

Max length5
Median length5
Mean length4.9306358
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공인중개사 167
96.5%
중개인 6
 
3.5%

Length

2023-12-12T14:18:19.954899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:18:20.066884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공인중개사 167
96.5%
중개인 6
 
3.5%

사무소전화번호
Text

MISSING 

Distinct101
Distinct (%)99.0%
Missing71
Missing (%)41.0%
Memory size1.5 KiB
2023-12-12T14:18:20.331576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.843137
Min length8

Characters and Unicode

Total characters1208
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

Unique100 ?
Unique (%)98.0%

Sample

1st row043-882-4989
2nd row043-883-7979
3rd row043-883-9831
4th row043-872-6108
5th row043-878-7744
ValueCountFrequency (%)
043-750-8337 2
 
2.0%
043-873-8739 1
 
1.0%
043-878-9911 1
 
1.0%
043-881-5489 1
 
1.0%
043-882-1022 1
 
1.0%
043-877-7882 1
 
1.0%
043-877-8946 1
 
1.0%
043-878-4488 1
 
1.0%
043-883-8924 1
 
1.0%
043-878-6888 1
 
1.0%
Other values (91) 91
89.2%
2023-12-12T14:18:20.864795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 226
18.7%
- 200
16.6%
3 153
12.7%
4 149
12.3%
0 141
11.7%
7 104
8.6%
2 68
 
5.6%
9 54
 
4.5%
1 50
 
4.1%
5 37
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1008
83.4%
Dash Punctuation 200
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 226
22.4%
3 153
15.2%
4 149
14.8%
0 141
14.0%
7 104
10.3%
2 68
 
6.7%
9 54
 
5.4%
1 50
 
5.0%
5 37
 
3.7%
6 26
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 200
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1208
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 226
18.7%
- 200
16.6%
3 153
12.7%
4 149
12.3%
0 141
11.7%
7 104
8.6%
2 68
 
5.6%
9 54
 
4.5%
1 50
 
4.1%
5 37
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1208
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 226
18.7%
- 200
16.6%
3 153
12.7%
4 149
12.3%
0 141
11.7%
7 104
8.6%
2 68
 
5.6%
9 54
 
4.5%
1 50
 
4.1%
5 37
 
3.1%

사무소주소
Text

Distinct168
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T14:18:21.250943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length35
Mean length24.364162
Min length19

Characters and Unicode

Total characters4215
Distinct characters132
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique163 ?
Unique (%)94.2%

Sample

1st row충청북도 음성군 금왕읍 금석로 22-1
2nd row충청북도 음성군 감곡면 가곡로 6 (감곡면)
3rd row충청북도 음성군 금왕읍 금일로 97
4th row충청북도 음성군 대소면 오산로 77
5th row충청북도 음성군 음성읍 중앙로 130 가동
ValueCountFrequency (%)
충청북도 173
17.8%
음성군 173
17.8%
대소면 51
 
5.2%
맹동면 39
 
4.0%
금왕읍 32
 
3.3%
음성읍 32
 
3.3%
대금로 23
 
2.4%
감곡면 16
 
1.6%
103호 13
 
1.3%
101호 12
 
1.2%
Other values (245) 409
42.0%
2023-12-12T14:18:21.744733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
885
21.0%
성 234
 
5.6%
1 220
 
5.2%
음 213
 
5.1%
북 175
 
4.2%
청 175
 
4.2%
충 173
 
4.1%
도 173
 
4.1%
군 173
 
4.1%
로 144
 
3.4%
Other values (122) 1650
39.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2527
60.0%
Space Separator 885
 
21.0%
Decimal Number 733
 
17.4%
Dash Punctuation 36
 
0.9%
Close Punctuation 16
 
0.4%
Open Punctuation 16
 
0.4%
Uppercase Letter 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 234
 
9.3%
음 213
 
8.4%
북 175
 
6.9%
청 175
 
6.9%
충 173
 
6.8%
도 173
 
6.8%
군 173
 
6.8%
로 144
 
5.7%
면 118
 
4.7%
대 99
 
3.9%
Other values (106) 850
33.6%
Decimal Number
ValueCountFrequency (%)
1 220
30.0%
2 92
12.6%
0 79
 
10.8%
5 64
 
8.7%
3 61
 
8.3%
4 56
 
7.6%
6 54
 
7.4%
8 40
 
5.5%
9 34
 
4.6%
7 33
 
4.5%
Space Separator
ValueCountFrequency (%)
885
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2527
60.0%
Common 1687
40.0%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 234
 
9.3%
음 213
 
8.4%
북 175
 
6.9%
청 175
 
6.9%
충 173
 
6.8%
도 173
 
6.8%
군 173
 
6.8%
로 144
 
5.7%
면 118
 
4.7%
대 99
 
3.9%
Other values (106) 850
33.6%
Common
ValueCountFrequency (%)
885
52.5%
1 220
 
13.0%
2 92
 
5.5%
0 79
 
4.7%
5 64
 
3.8%
3 61
 
3.6%
4 56
 
3.3%
6 54
 
3.2%
8 40
 
2.4%
- 36
 
2.1%
Other values (5) 100
 
5.9%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2527
60.0%
ASCII 1688
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
885
52.4%
1 220
 
13.0%
2 92
 
5.5%
0 79
 
4.7%
5 64
 
3.8%
3 61
 
3.6%
4 56
 
3.3%
6 54
 
3.2%
8 40
 
2.4%
- 36
 
2.1%
Other values (6) 101
 
6.0%
Hangul
ValueCountFrequency (%)
성 234
 
9.3%
음 213
 
8.4%
북 175
 
6.9%
청 175
 
6.9%
충 173
 
6.8%
도 173
 
6.8%
군 173
 
6.8%
로 144
 
5.7%
면 118
 
4.7%
대 99
 
3.9%
Other values (106) 850
33.6%

고용일
Date

Distinct152
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2006-01-16 00:00:00
Maximum2023-11-20 00:00:00
2023-12-12T14:18:21.915766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:18:22.062980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-11-28
173 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-28
2nd row2023-11-28
3rd row2023-11-28
4th row2023-11-28
5th row2023-11-28

Common Values

ValueCountFrequency (%)
2023-11-28 173
100.0%

Length

2023-12-12T14:18:22.249759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:18:22.392894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-28 173
100.0%

Interactions

2023-12-12T14:18:15.990053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:18:22.480399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번중개업자구분
연번1.0000.391
중개업자구분0.3911.000
2023-12-12T14:18:22.587040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번중개업자구분
연번1.0000.293
중개업자구분0.2931.000

Missing values

2023-12-12T14:18:16.152155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:18:16.369442image/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

연번등록번호사무소명중개업자명직위중개업자구분사무소전화번호사무소주소고용일데이터기준일자
01가-3832-62유일공인중개사사무소이기우대표공인중개사<NA>충청북도 음성군 금왕읍 금석로 22-12006-01-162023-11-28
12가-3832-104한양공인중개사사무소이환춘대표공인중개사043-882-4989충청북도 음성군 감곡면 가곡로 6 (감곡면)2006-01-162023-11-28
23가-3832-123알파공인중개사사무소서현택대표공인중개사043-883-7979충청북도 음성군 금왕읍 금일로 972006-01-162023-11-28
34가-3832-155예일부동산공인중개사사무소이강준대표공인중개사043-883-9831충청북도 음성군 대소면 오산로 772006-01-162023-11-28
45가-3832-161일출공인중개사사무소이성재대표공인중개사043-872-6108충청북도 음성군 음성읍 중앙로 130 가동2006-01-162023-11-28
56가-3832-199백두공인중개사사무소이병헌대표공인중개사043-878-7744충청북도 음성군 음성읍 수정로 112006-01-162023-11-28
67가-3832-224청미공인중개사사무소이건호대표공인중개사043-881-8948충청북도 음성군 감곡면 장감로 1822006-01-162023-11-28
78가-3832-232둥지공인중개사사무소신현철대표공인중개사043-873-2873충청북도 음성군 음성읍 중앙로 1342006-01-162023-11-28
89가-3832-277매일공인중개사사무소이복순대표공인중개사043-878-7827충청북도 음성군 감곡면 음성로 2396 (감곡면)2006-01-162023-11-28
910가-3832-285건국공인중개사사무소이건호대표공인중개사043-881-8245충청북도 음성군 대소면 대금로 486 103호2006-01-162023-11-28
연번등록번호사무소명중개업자명직위중개업자구분사무소전화번호사무소주소고용일데이터기준일자
16316443770-2023-00009나이스공인중개사사무소최승만대표공인중개사043-881-4788충청북도 음성군 금왕읍 덕금로 1162 105호2023-05-182023-11-28
16416543770-2023-00011부동산파워공인중개사사무소유영미대표공인중개사<NA>충청북도 음성군 대소면 대동로 865 101호2023-05-222023-11-28
16516643770-2023-00012밀라움부동산공인중개사사무소정강수대표공인중개사043-882-8596충청북도 음성군 맹동면 대하4길 6-10 102호2023-05-302023-11-28
16616743770-2023-00013포란재공인중개사사무소이은숙대표공인중개사043-873-8946충청북도 음성군 음성읍 반기문로 45-15 금광포란재아파트상가동 105호2023-06-072023-11-28
16716843770-2023-00014황금알공인중개사사무소육군호대표공인중개사043-881-1675충청북도 음성군 대소면 신내로 452 2층2023-06-092023-11-28
16816943770-2023-00017다올공인중개사사무소이기봉대표공인중개사<NA>충청북도 음성군 음성읍 시장로 33 201호2023-07-122023-11-28
16917043770-2023-00019도원공인중개사사무소김성현대표공인중개사<NA>충청북도 음성군 음성읍 중앙로 1572023-07-272023-11-28
17017143770-2023-00021샛별복덕방공인중개사사무소장효진대표공인중개사043-881-5949충청북도 음성군 금왕읍 무극로 212-1 1층2023-08-162023-11-28
17117243770-2023-00024비스타1164공인중개사사무소강동민대표공인중개사<NA>충청북도 음성군 맹동면 두레로 23 112호2023-09-142023-11-28
17217343770-2023-00025미래공인중개사사무소윤지영대표공인중개사<NA>충청북도 음성군 삼성면 대성로 555 104호2023-11-202023-11-28