Overview

Dataset statistics

Number of variables10
Number of observations153
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.4 KiB
Average record size in memory82.9 B

Variable types

Text4
Numeric2
DateTime1
Categorical3

Dataset

Description부동산중개업(사무소명, 연락처, 소재지도로명주소, 소재지지번주소, 위도, 경도, 위치, 등록일, 관리기관명, 관리기관연락처 등) 정보 공개
Author경기도 동두천시
URLhttps://www.data.go.kr/data/3080844/fileData.do

Alerts

관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
사무소명 has unique valuesUnique

Reproduction

Analysis started2024-03-23 03:55:46.443693
Analysis finished2024-03-23 03:55:49.981430
Duration3.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사무소명
Text

UNIQUE 

Distinct153
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-23T03:55:50.616802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length11.457516
Min length9

Characters and Unicode

Total characters1753
Distinct characters191
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique153 ?
Unique (%)100.0%

Sample

1st row대한공인중개사사무소
2nd row세아공인중개사사무소
3rd row한화부동산공인중개사정성환사무소
4th row광명공인중개사사무소
5th row에이스부동산공인중개사사무소
ValueCountFrequency (%)
공인중개사사무소 3
 
1.9%
대한공인중개사사무소 1
 
0.6%
브라운스톤공인중개사사무소 1
 
0.6%
우리공인중개사사무소 1
 
0.6%
신명품공인중개사사무소 1
 
0.6%
친구공인중개사사무소 1
 
0.6%
금강부동산중개사무소 1
 
0.6%
태우공인중개사사무소 1
 
0.6%
국민부동산공인중개사사무소 1
 
0.6%
신동양부동산중개사무소 1
 
0.6%
Other values (144) 144
92.3%
2024-03-23T03:55:52.130943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 292
16.7%
소 157
 
9.0%
중 156
 
8.9%
개 154
 
8.8%
무 153
 
8.7%
인 141
 
8.0%
공 140
 
8.0%
동 55
 
3.1%
부 42
 
2.4%
산 39
 
2.2%
Other values (181) 424
24.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1738
99.1%
Uppercase Letter 11
 
0.6%
Space Separator 3
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 292
16.8%
소 157
 
9.0%
중 156
 
9.0%
개 154
 
8.9%
무 153
 
8.8%
인 141
 
8.1%
공 140
 
8.1%
동 55
 
3.2%
부 42
 
2.4%
산 39
 
2.2%
Other values (169) 409
23.5%
Uppercase Letter
ValueCountFrequency (%)
K 2
18.2%
B 1
9.1%
S 1
9.1%
G 1
9.1%
L 1
9.1%
O 1
9.1%
E 1
9.1%
F 1
9.1%
A 1
9.1%
C 1
9.1%
Space Separator
ValueCountFrequency (%)
3
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1738
99.1%
Latin 11
 
0.6%
Common 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 292
16.8%
소 157
 
9.0%
중 156
 
9.0%
개 154
 
8.9%
무 153
 
8.8%
인 141
 
8.1%
공 140
 
8.1%
동 55
 
3.2%
부 42
 
2.4%
산 39
 
2.2%
Other values (169) 409
23.5%
Latin
ValueCountFrequency (%)
K 2
18.2%
B 1
9.1%
S 1
9.1%
G 1
9.1%
L 1
9.1%
O 1
9.1%
E 1
9.1%
F 1
9.1%
A 1
9.1%
C 1
9.1%
Common
ValueCountFrequency (%)
3
75.0%
2 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1738
99.1%
ASCII 15
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 292
16.8%
소 157
 
9.0%
중 156
 
9.0%
개 154
 
8.9%
무 153
 
8.8%
인 141
 
8.1%
공 140
 
8.1%
동 55
 
3.2%
부 42
 
2.4%
산 39
 
2.2%
Other values (169) 409
23.5%
ASCII
ValueCountFrequency (%)
3
20.0%
K 2
13.3%
B 1
 
6.7%
S 1
 
6.7%
2 1
 
6.7%
G 1
 
6.7%
L 1
 
6.7%
O 1
 
6.7%
E 1
 
6.7%
F 1
 
6.7%
Other values (2) 2
13.3%

사무소전화번호
Text

Distinct122
Distinct (%)79.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-23T03:55:53.504114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1836
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

Unique120 ?
Unique (%)78.4%

Sample

1st row031-868-4343
2nd row031-864-8040
3rd row031-861-4000
4th row031-864-2400
5th row031-861-4989
ValueCountFrequency (%)
031-000-0000 31
 
20.3%
031-859-5050 2
 
1.3%
031-866-8562 1
 
0.7%
031-863-6888 1
 
0.7%
031-868-4343 1
 
0.7%
031-847-5600 1
 
0.7%
031-862-4959 1
 
0.7%
031-864-8822 1
 
0.7%
031-857-8933 1
 
0.7%
031-857-4959 1
 
0.7%
Other values (112) 112
73.2%
2024-03-23T03:55:54.851104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 494
26.9%
- 306
16.7%
1 209
11.4%
3 195
 
10.6%
8 183
 
10.0%
6 140
 
7.6%
5 78
 
4.2%
4 61
 
3.3%
7 59
 
3.2%
2 56
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1530
83.3%
Dash Punctuation 306
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 494
32.3%
1 209
13.7%
3 195
 
12.7%
8 183
 
12.0%
6 140
 
9.2%
5 78
 
5.1%
4 61
 
4.0%
7 59
 
3.9%
2 56
 
3.7%
9 55
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 306
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1836
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 494
26.9%
- 306
16.7%
1 209
11.4%
3 195
 
10.6%
8 183
 
10.0%
6 140
 
7.6%
5 78
 
4.2%
4 61
 
3.3%
7 59
 
3.2%
2 56
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1836
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 494
26.9%
- 306
16.7%
1 209
11.4%
3 195
 
10.6%
8 183
 
10.0%
6 140
 
7.6%
5 78
 
4.2%
4 61
 
3.3%
7 59
 
3.2%
2 56
 
3.1%

도로명주소
Text

Distinct127
Distinct (%)83.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-23T03:55:55.764464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length24
Mean length17.084967
Min length14

Characters and Unicode

Total characters2614
Distinct characters65
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

Unique109 ?
Unique (%)71.2%

Sample

1st row경기도 동두천시 어수로 93
2nd row경기도 동두천시 정장로 43
3rd row경기도 동두천시 평화로 2367
4th row경기도 동두천시 삼육사로 1028-2
5th row경기도 동두천시 평화로2313번길 17-20
ValueCountFrequency (%)
경기도 153
24.9%
동두천시 153
24.9%
동두천로 26
 
4.2%
평화로 21
 
3.4%
중앙로 12
 
2.0%
생연로 11
 
1.8%
어수로 11
 
1.8%
지행로 9
 
1.5%
삼육사로 8
 
1.3%
43 6
 
1.0%
Other values (136) 205
33.3%
2024-03-23T03:55:57.348814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
462
17.7%
동 182
 
7.0%
천 180
 
6.9%
두 179
 
6.8%
시 158
 
6.0%
로 154
 
5.9%
경 153
 
5.9%
도 153
 
5.9%
기 153
 
5.9%
1 107
 
4.1%
Other values (55) 733
28.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1637
62.6%
Decimal Number 492
 
18.8%
Space Separator 462
 
17.7%
Dash Punctuation 23
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 182
11.1%
천 180
11.0%
두 179
10.9%
시 158
9.7%
로 154
9.4%
경 153
9.3%
도 153
9.3%
기 153
9.3%
평 27
 
1.6%
화 27
 
1.6%
Other values (43) 271
16.6%
Decimal Number
ValueCountFrequency (%)
1 107
21.7%
2 86
17.5%
3 57
11.6%
9 44
8.9%
5 40
 
8.1%
4 37
 
7.5%
0 36
 
7.3%
7 33
 
6.7%
6 27
 
5.5%
8 25
 
5.1%
Space Separator
ValueCountFrequency (%)
462
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1637
62.6%
Common 977
37.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 182
11.1%
천 180
11.0%
두 179
10.9%
시 158
9.7%
로 154
9.4%
경 153
9.3%
도 153
9.3%
기 153
9.3%
평 27
 
1.6%
화 27
 
1.6%
Other values (43) 271
16.6%
Common
ValueCountFrequency (%)
462
47.3%
1 107
 
11.0%
2 86
 
8.8%
3 57
 
5.8%
9 44
 
4.5%
5 40
 
4.1%
4 37
 
3.8%
0 36
 
3.7%
7 33
 
3.4%
6 27
 
2.8%
Other values (2) 48
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1637
62.6%
ASCII 977
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
462
47.3%
1 107
 
11.0%
2 86
 
8.8%
3 57
 
5.8%
9 44
 
4.5%
5 40
 
4.1%
4 37
 
3.8%
0 36
 
3.7%
7 33
 
3.4%
6 27
 
2.8%
Other values (2) 48
 
4.9%
Hangul
ValueCountFrequency (%)
동 182
11.1%
천 180
11.0%
두 179
10.9%
시 158
9.7%
로 154
9.4%
경 153
9.3%
도 153
9.3%
기 153
9.3%
평 27
 
1.6%
화 27
 
1.6%
Other values (43) 271
16.6%

지번주소
Text

Distinct125
Distinct (%)82.2%
Missing1
Missing (%)0.7%
Memory size1.3 KiB
2024-03-23T03:55:58.653334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length18
Mean length18.032895
Min length15

Characters and Unicode

Total characters2741
Distinct characters34
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

Unique107 ?
Unique (%)70.4%

Sample

1st row경기도 동두천시 생연동 688-4
2nd row경기도 동두천시 생연동 645-50
3rd row경기도 동두천시 생연동 733-9
4th row경기도 동두천시 생연동 307
5th row경기도 동두천시 지행동 731
ValueCountFrequency (%)
경기도 152
24.9%
동두천시 152
24.9%
생연동 62
10.2%
지행동 53
 
8.7%
송내동 18
 
3.0%
보산동 6
 
1.0%
동두천동 5
 
0.8%
717-2 4
 
0.7%
상패동 4
 
0.7%
692-6 4
 
0.7%
Other values (125) 150
24.6%
2024-03-23T03:56:00.438682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
458
16.7%
동 310
 
11.3%
두 157
 
5.7%
천 157
 
5.7%
경 152
 
5.5%
도 152
 
5.5%
시 152
 
5.5%
기 152
 
5.5%
- 133
 
4.9%
6 94
 
3.4%
Other values (24) 824
30.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1530
55.8%
Decimal Number 620
22.6%
Space Separator 458
 
16.7%
Dash Punctuation 133
 
4.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 310
20.3%
두 157
10.3%
천 157
10.3%
경 152
9.9%
도 152
9.9%
시 152
9.9%
기 152
9.9%
연 62
 
4.1%
생 62
 
4.1%
행 53
 
3.5%
Other values (12) 121
 
7.9%
Decimal Number
ValueCountFrequency (%)
6 94
15.2%
7 79
12.7%
1 79
12.7%
3 76
12.3%
2 64
10.3%
4 61
9.8%
9 52
8.4%
5 45
7.3%
8 43
6.9%
0 27
 
4.4%
Space Separator
ValueCountFrequency (%)
458
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 133
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1530
55.8%
Common 1211
44.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 310
20.3%
두 157
10.3%
천 157
10.3%
경 152
9.9%
도 152
9.9%
시 152
9.9%
기 152
9.9%
연 62
 
4.1%
생 62
 
4.1%
행 53
 
3.5%
Other values (12) 121
 
7.9%
Common
ValueCountFrequency (%)
458
37.8%
- 133
 
11.0%
6 94
 
7.8%
7 79
 
6.5%
1 79
 
6.5%
3 76
 
6.3%
2 64
 
5.3%
4 61
 
5.0%
9 52
 
4.3%
5 45
 
3.7%
Other values (2) 70
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1530
55.8%
ASCII 1211
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
458
37.8%
- 133
 
11.0%
6 94
 
7.8%
7 79
 
6.5%
1 79
 
6.5%
3 76
 
6.3%
2 64
 
5.3%
4 61
 
5.0%
9 52
 
4.3%
5 45
 
3.7%
Other values (2) 70
 
5.8%
Hangul
ValueCountFrequency (%)
동 310
20.3%
두 157
10.3%
천 157
10.3%
경 152
9.9%
도 152
9.9%
시 152
9.9%
기 152
9.9%
연 62
 
4.1%
생 62
 
4.1%
행 53
 
3.5%
Other values (12) 121
 
7.9%

위도
Real number (ℝ)

Distinct128
Distinct (%)83.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.898701
Minimum37.877436
Maximum37.953244
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-23T03:56:00.994861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.877436
5-th percentile37.882898
Q137.891705
median37.897077
Q337.902336
95-th percentile37.921242
Maximum37.953244
Range0.075808394
Interquartile range (IQR)0.01063062

Descriptive statistics

Standard deviation0.012256835
Coefficient of variation (CV)0.00032341043
Kurtosis4.6629616
Mean37.898701
Median Absolute Deviation (MAD)0.0053715045
Skewness1.7059952
Sum5798.5013
Variance0.00015023001
MonotonicityNot monotonic
2024-03-23T03:56:01.685584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.8923411624 4
 
2.6%
37.8938711959 4
 
2.6%
37.8933524232 3
 
2.0%
37.8916530646 3
 
2.0%
37.8917054967 3
 
2.0%
37.8970770012 3
 
2.0%
37.8981249214 2
 
1.3%
37.900191728 2
 
1.3%
37.8854335605 2
 
1.3%
37.8826722794 2
 
1.3%
Other values (118) 125
81.7%
ValueCountFrequency (%)
37.87743574 1
0.7%
37.8790571496 1
0.7%
37.881526239 1
0.7%
37.8816078748 1
0.7%
37.8826722794 2
1.3%
37.8827372547 1
0.7%
37.8828186578 1
0.7%
37.8829511511 1
0.7%
37.8829511997 1
0.7%
37.8832303583 1
0.7%
ValueCountFrequency (%)
37.9532441338 1
0.7%
37.9467108282 1
0.7%
37.9460653308 1
0.7%
37.9319529029 1
0.7%
37.9303553721 1
0.7%
37.9271393994 1
0.7%
37.9269503474 2
1.3%
37.9174370534 1
0.7%
37.9172308991 1
0.7%
37.9167508356 1
0.7%

경도
Real number (ℝ)

Distinct128
Distinct (%)83.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.05546
Minimum127.03078
Maximum127.09034
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-23T03:56:02.250079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.03078
5-th percentile127.04835
Q1127.05296
median127.05501
Q3127.05785
95-th percentile127.06372
Maximum127.09034
Range0.059550644
Interquartile range (IQR)0.0048961287

Descriptive statistics

Standard deviation0.0056327253
Coefficient of variation (CV)4.4332808 × 10-5
Kurtosis10.79915
Mean127.05546
Median Absolute Deviation (MAD)0.0025216312
Skewness1.1492055
Sum19439.485
Variance3.1727595 × 10-5
MonotonicityNot monotonic
2024-03-23T03:56:02.728915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0483479488 4
 
2.6%
127.055012289 4
 
2.6%
127.04890739 3
 
2.0%
127.0572844731 3
 
2.0%
127.0546373322 3
 
2.0%
127.0552663942 3
 
2.0%
127.0493150781 2
 
1.3%
127.0529583558 2
 
1.3%
127.053254825 2
 
1.3%
127.0539759057 2
 
1.3%
Other values (118) 125
81.7%
ValueCountFrequency (%)
127.0307849879 1
 
0.7%
127.0458027299 1
 
0.7%
127.0464988957 1
 
0.7%
127.0468933485 1
 
0.7%
127.0470439771 1
 
0.7%
127.0471335128 1
 
0.7%
127.0482201 1
 
0.7%
127.0483479488 4
2.6%
127.0483799951 1
 
0.7%
127.0485608327 1
 
0.7%
ValueCountFrequency (%)
127.0903356315 1
0.7%
127.0690806352 1
0.7%
127.068191955 1
0.7%
127.0651124317 1
0.7%
127.0645969999 1
0.7%
127.0638589752 1
0.7%
127.0637394075 1
0.7%
127.0637391112 1
0.7%
127.063702616 1
0.7%
127.0630485241 1
0.7%

등록일
Date

Distinct145
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum1984-06-26 00:00:00
Maximum2024-02-23 00:00:00
2024-03-23T03:56:03.137374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T03:56:03.695324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
경기도 동두천시청 민원봉사과
153 

Length

Max length15
Median length15
Mean length15
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 동두천시청 민원봉사과
2nd row경기도 동두천시청 민원봉사과
3rd row경기도 동두천시청 민원봉사과
4th row경기도 동두천시청 민원봉사과
5th row경기도 동두천시청 민원봉사과

Common Values

ValueCountFrequency (%)
경기도 동두천시청 민원봉사과 153
100.0%

Length

2024-03-23T03:56:04.271084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T03:56:04.663657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 153
33.3%
동두천시청 153
33.3%
민원봉사과 153
33.3%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
031-860-2151
153 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-860-2151
2nd row031-860-2151
3rd row031-860-2151
4th row031-860-2151
5th row031-860-2151

Common Values

ValueCountFrequency (%)
031-860-2151 153
100.0%

Length

2024-03-23T03:56:05.113234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T03:56:05.449863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-860-2151 153
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-20
153 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-20
2nd row2024-03-20
3rd row2024-03-20
4th row2024-03-20
5th row2024-03-20

Common Values

ValueCountFrequency (%)
2024-03-20 153
100.0%

Length

2024-03-23T03:56:05.962507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T03:56:06.320997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-20 153
100.0%

Interactions

2024-03-23T03:55:47.961426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T03:55:47.017475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T03:55:48.304061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T03:55:47.497112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T03:56:06.686284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.224
경도0.2241.000
2024-03-23T03:56:07.405076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.108
경도0.1081.000

Missing values

2024-03-23T03:55:48.879430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T03:55:49.601870image/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

사무소명사무소전화번호도로명주소지번주소위도경도등록일관리기관명관리기관전화번호데이터기준일자
0대한공인중개사사무소031-868-4343경기도 동두천시 어수로 93경기도 동두천시 생연동 688-437.9027127.0529272004-11-03경기도 동두천시청 민원봉사과031-860-21512024-03-20
1세아공인중개사사무소031-864-8040경기도 동두천시 정장로 43경기도 동두천시 생연동 645-5037.904254127.0555992006-01-19경기도 동두천시청 민원봉사과031-860-21512024-03-20
2한화부동산공인중개사정성환사무소031-861-4000경기도 동두천시 평화로 2367경기도 동두천시 생연동 733-937.899167127.0576151986-08-20경기도 동두천시청 민원봉사과031-860-21512024-03-20
3광명공인중개사사무소031-864-2400경기도 동두천시 삼육사로 1028-2경기도 동두천시 생연동 30737.899433127.0637031996-01-16경기도 동두천시청 민원봉사과031-860-21512024-03-20
4에이스부동산공인중개사사무소031-861-4989경기도 동두천시 평화로2313번길 17-20경기도 동두천시 지행동 73137.893413127.0565171999-07-07경기도 동두천시청 민원봉사과031-860-21512024-03-20
5송내공인중개사사무소031-862-9090경기도 동두천시 평화로 2144경기도 동두천시 송내동 492-1137.879057127.0564461999-08-20경기도 동두천시청 민원봉사과031-860-21512024-03-20
6중앙부동산공인중개사사무소031-864-1515경기도 동두천시 평화로 2286경기도 동두천시 지행동 340-1737.891653127.0572842001-06-13경기도 동두천시청 민원봉사과031-860-21512024-03-20
7동두천큰공인중개사사무소031-000-0000경기도 동두천시 중앙로 349-2경기도 동두천시 생연동 570-1137.912757127.0557162001-02-06경기도 동두천시청 민원봉사과031-860-21512024-03-20
8시티공인중개사사무소031-868-1900경기도 동두천시 이담로 69경기도 동두천시 지행동 737-537.888853127.0562372004-03-23경기도 동두천시청 민원봉사과031-860-21512024-03-20
9진우공인중개사사무소031-867-8200경기도 동두천시 삼육사로 896경기도 동두천시 생연동 806-337.900025127.0494382004-10-02경기도 동두천시청 민원봉사과031-860-21512024-03-20
사무소명사무소전화번호도로명주소지번주소위도경도등록일관리기관명관리기관전화번호데이터기준일자
143대가부동산 공인중개사사무소031-000-0000경기도 동두천시 이담로 143경기도 동두천시 지행동 186-1737.888154127.0645972023-10-27경기도 동두천시청 민원봉사과031-860-21512024-03-20
144카페공인중개사사무소031-000-0000경기도 동두천시 생연로 62경기도 동두천시 생연동 714-237.898125127.0493152023-12-26경기도 동두천시청 민원봉사과031-860-21512024-03-20
145한강공인중개사사무소031-861-8668경기도 동두천시 지행로 99경기도 동두천시 지행동 284-237.892612127.0582322007-10-08경기도 동두천시청 민원봉사과031-860-21512024-03-20
146금토부동산공인중개사사무소031-868-5522경기도 동두천시 동두천로 221경기도 동두천시 생연동 683-3737.901362127.0554732007-06-05경기도 동두천시청 민원봉사과031-860-21512024-03-20
147다올공인중개사사무소031-864-0777경기도 동두천시 평화로2313번길 7-7경기도 동두천시 지행동 729-237.893914127.0571222006-09-05경기도 동두천시청 민원봉사과031-860-21512024-03-20
148일광부동산중개인사무소031-865-2019경기도 동두천시 중앙로 305경기도 동두천시 생연동 611-3137.908759127.0546461984-06-26경기도 동두천시청 민원봉사과031-860-21512024-03-20
149백두산부동산중개사무소031-861-3946경기도 동두천시 평화로 2404-1경기도 동두천시 생연동 426-837.90232127.0581731999-11-01경기도 동두천시청 민원봉사과031-860-21512024-03-20
150월드부동산중개사무소031-000-0000경기도 동두천시 생연로 39-42 따사로움 101호경기도 동두천시 지행동 670-3 1층 101호37.896544127.048222023-12-26경기도 동두천시청 민원봉사과031-860-21512024-03-20
151열린공인중개사사무소031-868-2084경기도 동두천시 동두천로 111 104호<NA>37.891417127.0546232024-01-30경기도 동두천시청 민원봉사과031-860-21512024-03-20
152호재부동산중개사무소031-000-0000경기도 동두천시 어수로 110경기도 동두천시 생연동 685-3637.901918127.0546562024-02-23경기도 동두천시청 민원봉사과031-860-21512024-03-20