Overview

Dataset statistics

Number of variables12
Number of observations206
Missing cells32
Missing cells (%)1.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.0 KiB
Average record size in memory99.6 B

Variable types

Numeric3
Categorical4
Text4
DateTime1

Dataset

Description주택법 제46조의 규정에 의거 공동주택을 건축한 건축주는 사용승인시 공사비의 3%에 해당하는 하자보수보증금을 금융기관에 예치하고 그 예치증서를 구청에 제출하도록 되어 있으며, 해당 데이터는 건축물위치, 증권금액 등의 항목을 제공합니다.
Author부산광역시 남구
URLhttps://www.data.go.kr/data/15023151/fileData.do

Alerts

관리시군구 has constant value ""Constant
보증보험회사 is highly overall correlated with 금융기관명High correlation
금융기관명 is highly overall correlated with 보증보험회사High correlation
건물명 has 23 (11.2%) missing valuesMissing
사용승인일 has 9 (4.4%) missing valuesMissing
관리년도-연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:14:29.986643
Analysis finished2023-12-12 07:14:32.041387
Duration2.05 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

Distinct201
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.742718
Minimum1
Maximum201
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T16:14:32.147001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.25
Q147.25
median98.5
Q3149.75
95-th percentile190.75
Maximum201
Range200
Interquartile range (IQR)102.5

Descriptive statistics

Standard deviation59.218708
Coefficient of variation (CV)0.59972735
Kurtosis-1.2224379
Mean98.742718
Median Absolute Deviation (MAD)51.5
Skewness0.020069341
Sum20341
Variance3506.8554
MonotonicityNot monotonic
2023-12-12T16:14:32.329323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 2
 
1.0%
6 2
 
1.0%
7 2
 
1.0%
8 2
 
1.0%
10 2
 
1.0%
136 1
 
0.5%
140 1
 
0.5%
139 1
 
0.5%
138 1
 
0.5%
137 1
 
0.5%
Other values (191) 191
92.7%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 2
1.0%
7 2
1.0%
8 2
1.0%
9 2
1.0%
10 2
1.0%
ValueCountFrequency (%)
201 1
0.5%
200 1
0.5%
199 1
0.5%
198 1
0.5%
197 1
0.5%
196 1
0.5%
195 1
0.5%
194 1
0.5%
193 1
0.5%
192 1
0.5%

관리시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
부산광역시 남구
206 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시 남구
2nd row부산광역시 남구
3rd row부산광역시 남구
4th row부산광역시 남구
5th row부산광역시 남구

Common Values

ValueCountFrequency (%)
부산광역시 남구 206
100.0%

Length

2023-12-12T16:14:32.507084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:14:32.627682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 206
50.0%
남구 206
50.0%

관리년도-연번
Text

UNIQUE 

Distinct206
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T16:14:32.784269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters2472
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique206 ?
Unique (%)100.0%

Sample

1st row2022 - 00014
2nd row2022 - 00013
3rd row2022 - 00012
4th row2022 - 00011
5th row2022 - 00010
ValueCountFrequency (%)
206
33.3%
2016 45
 
7.3%
2019 36
 
5.8%
2018 34
 
5.5%
2017 31
 
5.0%
2020 31
 
5.0%
2021 15
 
2.4%
2022 14
 
2.3%
00009 7
 
1.1%
00010 7
 
1.1%
Other values (43) 192
31.1%
2023-12-12T16:14:33.146114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 933
37.7%
412
16.7%
2 352
 
14.2%
1 249
 
10.1%
- 206
 
8.3%
6 65
 
2.6%
9 54
 
2.2%
8 53
 
2.1%
7 50
 
2.0%
3 48
 
1.9%
Other values (2) 50
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1854
75.0%
Space Separator 412
 
16.7%
Dash Punctuation 206
 
8.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 933
50.3%
2 352
 
19.0%
1 249
 
13.4%
6 65
 
3.5%
9 54
 
2.9%
8 53
 
2.9%
7 50
 
2.7%
3 48
 
2.6%
4 29
 
1.6%
5 21
 
1.1%
Space Separator
ValueCountFrequency (%)
412
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 206
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2472
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 933
37.7%
412
16.7%
2 352
 
14.2%
1 249
 
10.1%
- 206
 
8.3%
6 65
 
2.6%
9 54
 
2.2%
8 53
 
2.1%
7 50
 
2.0%
3 48
 
1.9%
Other values (2) 50
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2472
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 933
37.7%
412
16.7%
2 352
 
14.2%
1 249
 
10.1%
- 206
 
8.3%
6 65
 
2.6%
9 54
 
2.2%
8 53
 
2.1%
7 50
 
2.0%
3 48
 
1.9%
Other values (2) 50
 
2.0%

건축물위치(지번주소)
Text

Distinct205
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T16:14:33.555924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length38
Mean length22.461165
Min length18

Characters and Unicode

Total characters4627
Distinct characters43
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique204 ?
Unique (%)99.0%

Sample

1st row부산광역시 남구 대연동 대지 30-29번지
2nd row부산광역시 남구 대연동 대지 281-31번지
3rd row부산광역시 남구 우암동 대지 39-8번지
4th row부산광역시 남구 문현동 대지 119-50번지
5th row부산광역시 남구 용호동 대지 388-2번지
ValueCountFrequency (%)
부산광역시 206
19.5%
남구 206
19.5%
대지 202
19.1%
대연동 133
12.6%
문현동 35
 
3.3%
용호동 32
 
3.0%
외 7
 
0.7%
감만동 5
 
0.5%
1필지 3
 
0.3%
1234 2
 
0.2%
Other values (222) 227
21.5%
2023-12-12T16:14:34.155715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
852
18.4%
대 335
 
7.2%
지 227
 
4.9%
- 212
 
4.6%
동 208
 
4.5%
산 208
 
4.5%
구 206
 
4.5%
부 206
 
4.5%
남 206
 
4.5%
시 206
 
4.5%
Other values (33) 1761
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2539
54.9%
Decimal Number 1018
22.0%
Space Separator 852
 
18.4%
Dash Punctuation 212
 
4.6%
Other Punctuation 3
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 335
13.2%
지 227
8.9%
동 208
8.2%
산 208
8.2%
구 206
8.1%
부 206
8.1%
남 206
8.1%
시 206
8.1%
역 206
8.1%
광 206
8.1%
Other values (17) 325
12.8%
Decimal Number
ValueCountFrequency (%)
1 191
18.8%
2 115
11.3%
4 115
11.3%
5 109
10.7%
3 101
9.9%
8 89
8.7%
7 81
8.0%
9 80
7.9%
6 77
7.6%
0 60
 
5.9%
Space Separator
ValueCountFrequency (%)
852
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 212
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2539
54.9%
Common 2088
45.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 335
13.2%
지 227
8.9%
동 208
8.2%
산 208
8.2%
구 206
8.1%
부 206
8.1%
남 206
8.1%
시 206
8.1%
역 206
8.1%
광 206
8.1%
Other values (17) 325
12.8%
Common
ValueCountFrequency (%)
852
40.8%
- 212
 
10.2%
1 191
 
9.1%
2 115
 
5.5%
4 115
 
5.5%
5 109
 
5.2%
3 101
 
4.8%
8 89
 
4.3%
7 81
 
3.9%
9 80
 
3.8%
Other values (6) 143
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2539
54.9%
ASCII 2088
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
852
40.8%
- 212
 
10.2%
1 191
 
9.1%
2 115
 
5.5%
4 115
 
5.5%
5 109
 
5.2%
3 101
 
4.8%
8 89
 
4.3%
7 81
 
3.9%
9 80
 
3.8%
Other values (6) 143
 
6.8%
Hangul
ValueCountFrequency (%)
대 335
13.2%
지 227
8.9%
동 208
8.2%
산 208
8.2%
구 206
8.1%
부 206
8.1%
남 206
8.1%
시 206
8.1%
역 206
8.1%
광 206
8.1%
Other values (17) 325
12.8%

건물명
Text

MISSING 

Distinct180
Distinct (%)98.4%
Missing23
Missing (%)11.2%
Memory size1.7 KiB
2023-12-12T16:14:34.453742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length12
Mean length5.6721311
Min length2

Characters and Unicode

Total characters1038
Distinct characters195
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

Unique177 ?
Unique (%)96.7%

Sample

1st row더빌리지
2nd row엘이드지31
3rd row이안 오션파크W
4th row글로리아3
5th row대정빌
ValueCountFrequency (%)
에코시티 3
 
1.4%
101동 3
 
1.4%
더샵시티 2
 
0.9%
102동 2
 
0.9%
엘이즈디 2
 
0.9%
션샤인 2
 
0.9%
하이츠 2
 
0.9%
대연 2
 
0.9%
금샘하이클래스 2
 
0.9%
정상네이처빌 2
 
0.9%
Other values (184) 189
89.6%
2023-12-12T16:14:34.926844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 60
 
5.8%
이 55
 
5.3%
빌 40
 
3.9%
리 33
 
3.2%
29
 
2.8%
아 25
 
2.4%
트 20
 
1.9%
시 19
 
1.8%
라 19
 
1.8%
티 18
 
1.7%
Other values (185) 720
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 940
90.6%
Decimal Number 58
 
5.6%
Space Separator 29
 
2.8%
Uppercase Letter 7
 
0.7%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 60
 
6.4%
이 55
 
5.9%
빌 40
 
4.3%
리 33
 
3.5%
아 25
 
2.7%
트 20
 
2.1%
시 19
 
2.0%
라 19
 
2.0%
티 18
 
1.9%
우 18
 
1.9%
Other values (167) 633
67.3%
Decimal Number
ValueCountFrequency (%)
2 18
31.0%
1 13
22.4%
3 8
13.8%
0 5
 
8.6%
4 4
 
6.9%
6 3
 
5.2%
5 3
 
5.2%
8 2
 
3.4%
7 2
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
B 2
28.6%
A 1
14.3%
M 1
14.3%
S 1
14.3%
D 1
14.3%
W 1
14.3%
Space Separator
ValueCountFrequency (%)
29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 940
90.6%
Common 91
 
8.8%
Latin 7
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 60
 
6.4%
이 55
 
5.9%
빌 40
 
4.3%
리 33
 
3.5%
아 25
 
2.7%
트 20
 
2.1%
시 19
 
2.0%
라 19
 
2.0%
티 18
 
1.9%
우 18
 
1.9%
Other values (167) 633
67.3%
Common
ValueCountFrequency (%)
29
31.9%
2 18
19.8%
1 13
14.3%
3 8
 
8.8%
0 5
 
5.5%
4 4
 
4.4%
6 3
 
3.3%
5 3
 
3.3%
( 2
 
2.2%
) 2
 
2.2%
Other values (2) 4
 
4.4%
Latin
ValueCountFrequency (%)
B 2
28.6%
A 1
14.3%
M 1
14.3%
S 1
14.3%
D 1
14.3%
W 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 940
90.6%
ASCII 98
 
9.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 60
 
6.4%
이 55
 
5.9%
빌 40
 
4.3%
리 33
 
3.5%
아 25
 
2.7%
트 20
 
2.1%
시 19
 
2.0%
라 19
 
2.0%
티 18
 
1.9%
우 18
 
1.9%
Other values (167) 633
67.3%
ASCII
ValueCountFrequency (%)
29
29.6%
2 18
18.4%
1 13
13.3%
3 8
 
8.2%
0 5
 
5.1%
4 4
 
4.1%
6 3
 
3.1%
5 3
 
3.1%
( 2
 
2.0%
) 2
 
2.0%
Other values (8) 11
 
11.2%

사업주(건축주)
Text

Distinct174
Distinct (%)84.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T16:14:35.256269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length5.8398058
Min length2

Characters and Unicode

Total characters1203
Distinct characters186
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique148 ?
Unique (%)71.8%

Sample

1st row정미희
2nd row(주)제이엘컴퍼니
3rd row케이비부동산신탁㈜
4th row김은주
5th row윤대현
ValueCountFrequency (%)
외 9
 
3.5%
외1인 7
 
2.7%
외1 6
 
2.3%
1인 6
 
2.3%
정상종합건설(주 4
 
1.6%
주)제이엘컴퍼니 4
 
1.6%
이찬수 3
 
1.2%
외2인 3
 
1.2%
김오근 3
 
1.2%
김은주 3
 
1.2%
Other values (183) 210
81.4%
2023-12-12T16:14:35.733089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 73
 
6.1%
( 59
 
4.9%
) 59
 
4.9%
52
 
4.3%
이 43
 
3.6%
건 36
 
3.0%
설 36
 
3.0%
외 30
 
2.5%
김 30
 
2.5%
인 29
 
2.4%
Other values (176) 756
62.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 988
82.1%
Open Punctuation 59
 
4.9%
Close Punctuation 59
 
4.9%
Space Separator 52
 
4.3%
Decimal Number 32
 
2.7%
Other Symbol 11
 
0.9%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 73
 
7.4%
이 43
 
4.4%
건 36
 
3.6%
설 36
 
3.6%
외 30
 
3.0%
김 30
 
3.0%
인 29
 
2.9%
종 22
 
2.2%
정 21
 
2.1%
영 19
 
1.9%
Other values (166) 649
65.7%
Decimal Number
ValueCountFrequency (%)
1 25
78.1%
2 4
 
12.5%
9 1
 
3.1%
3 1
 
3.1%
5 1
 
3.1%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Space Separator
ValueCountFrequency (%)
52
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 999
83.0%
Common 204
 
17.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 73
 
7.3%
이 43
 
4.3%
건 36
 
3.6%
설 36
 
3.6%
외 30
 
3.0%
김 30
 
3.0%
인 29
 
2.9%
종 22
 
2.2%
정 21
 
2.1%
영 19
 
1.9%
Other values (167) 660
66.1%
Common
ValueCountFrequency (%)
( 59
28.9%
) 59
28.9%
52
25.5%
1 25
12.3%
2 4
 
2.0%
, 2
 
1.0%
9 1
 
0.5%
3 1
 
0.5%
5 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 988
82.1%
ASCII 204
 
17.0%
None 11
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 73
 
7.4%
이 43
 
4.4%
건 36
 
3.6%
설 36
 
3.6%
외 30
 
3.0%
김 30
 
3.0%
인 29
 
2.9%
종 22
 
2.2%
정 21
 
2.1%
영 19
 
1.9%
Other values (166) 649
65.7%
ASCII
ValueCountFrequency (%)
( 59
28.9%
) 59
28.9%
52
25.5%
1 25
12.3%
2 4
 
2.0%
, 2
 
1.0%
9 1
 
0.5%
3 1
 
0.5%
5 1
 
0.5%
None
ValueCountFrequency (%)
㈜ 11
100.0%

세대수
Real number (ℝ)

Distinct44
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.601942
Minimum3
Maximum3149
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T16:14:35.868004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile7
Q110
median16
Q322
95-th percentile140.75
Maximum3149
Range3146
Interquartile range (IQR)12

Descriptive statistics

Standard deviation276.83785
Coefficient of variation (CV)4.3526635
Kurtosis81.739673
Mean63.601942
Median Absolute Deviation (MAD)6
Skewness8.3695872
Sum13102
Variance76639.197
MonotonicityNot monotonic
2023-12-12T16:14:35.987913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
8 31
15.0%
16 21
 
10.2%
12 20
 
9.7%
28 12
 
5.8%
20 12
 
5.8%
11 11
 
5.3%
10 9
 
4.4%
19 9
 
4.4%
18 8
 
3.9%
7 8
 
3.9%
Other values (34) 65
31.6%
ValueCountFrequency (%)
3 1
 
0.5%
4 3
 
1.5%
6 1
 
0.5%
7 8
 
3.9%
8 31
15.0%
9 6
 
2.9%
10 9
 
4.4%
11 11
 
5.3%
12 20
9.7%
13 3
 
1.5%
ValueCountFrequency (%)
3149 1
0.5%
1488 1
0.5%
1422 1
0.5%
965 1
0.5%
743 1
0.5%
600 1
0.5%
495 1
0.5%
303 1
0.5%
224 2
1.0%
155 1
0.5%

반환여부
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
미반환
159 
반환
47 

Length

Max length3
Median length3
Mean length2.7718447
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미반환 159
77.2%
반환 47
 
22.8%

Length

2023-12-12T16:14:36.108497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:14:36.215434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미반환 159
77.2%
반환 47
 
22.8%

금융기관명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
서울보증보험주식회사
106 
<NA>
53 
건설공제조합
39 
주택도시보증공사
 
6
서울보험보증주식회사
 
1

Length

Max length10
Median length10
Mean length7.6213592
Min length4

Unique

Unique2 ?
Unique (%)1.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
서울보증보험주식회사 106
51.5%
<NA> 53
25.7%
건설공제조합 39
 
18.9%
주택도시보증공사 6
 
2.9%
서울보험보증주식회사 1
 
0.5%
서울보증보험 1
 
0.5%

Length

2023-12-12T16:14:36.321364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:14:36.455442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울보증보험주식회사 106
51.5%
na 53
25.7%
건설공제조합 39
 
18.9%
주택도시보증공사 6
 
2.9%
서울보험보증주식회사 1
 
0.5%
서울보증보험 1
 
0.5%

증권금액
Real number (ℝ)

Distinct201
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0109224 × 108
Minimum982210
Maximum2.2966964 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T16:14:36.629986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum982210
5-th percentile9217012.5
Q114337325
median18715244
Q337374060
95-th percentile1.1277427 × 109
Maximum2.2966964 × 1010
Range2.2965981 × 1010
Interquartile range (IQR)23036735

Descriptive statistics

Standard deviation2.5950909 × 109
Coefficient of variation (CV)5.1788686
Kurtosis58.847221
Mean5.0109224 × 108
Median Absolute Deviation (MAD)5275518.5
Skewness7.5029265
Sum1.03225 × 1011
Variance6.7344968 × 1018
MonotonicityNot monotonic
2023-12-12T16:14:36.779055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18306960 2
 
1.0%
17731950 2
 
1.0%
19914205 2
 
1.0%
21221680 2
 
1.0%
15567356 2
 
1.0%
254692090 1
 
0.5%
19803007 1
 
0.5%
5825687 1
 
0.5%
16216650 1
 
0.5%
17886900 1
 
0.5%
Other values (191) 191
92.7%
ValueCountFrequency (%)
982210 1
0.5%
4145250 1
0.5%
4986382 1
0.5%
5825687 1
0.5%
6006040 1
0.5%
7106590 1
0.5%
7154930 1
0.5%
8232450 1
0.5%
8287310 1
0.5%
8614950 1
0.5%
ValueCountFrequency (%)
22966963683 1
0.5%
22554934367 1
0.5%
16390149667 1
0.5%
8154413630 1
0.5%
4291022449 1
0.5%
3278498994 1
0.5%
3157925782 1
0.5%
3122486129 1
0.5%
1330273000 1
0.5%
1266002650 1
0.5%

보증보험회사
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
서울보증보험주식회사
145 
건설공제조합
51 
주택도시보증공사
 
9
서울보증보험
 
1

Length

Max length10
Median length10
Mean length8.9029126
Min length6

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row서울보증보험주식회사
2nd row서울보증보험주식회사
3rd row건설공제조합
4th row서울보증보험주식회사
5th row건설공제조합

Common Values

ValueCountFrequency (%)
서울보증보험주식회사 145
70.4%
건설공제조합 51
 
24.8%
주택도시보증공사 9
 
4.4%
서울보증보험 1
 
0.5%

Length

2023-12-12T16:14:36.925683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:14:37.315321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울보증보험주식회사 145
70.4%
건설공제조합 51
 
24.8%
주택도시보증공사 9
 
4.4%
서울보증보험 1
 
0.5%

사용승인일
Date

MISSING 

Distinct178
Distinct (%)90.4%
Missing9
Missing (%)4.4%
Memory size1.7 KiB
Minimum2016-01-12 00:00:00
Maximum2022-07-20 00:00:00
2023-12-12T16:14:37.427852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:14:37.602006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T16:14:31.243087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:14:30.540804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:14:30.960418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:14:31.365008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:14:30.649975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:14:31.066628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:14:31.477461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:14:30.787174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:14:31.154161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:14:37.692203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번세대수반환여부금융기관명증권금액보증보험회사
순번1.0000.0000.5210.2360.0000.185
세대수0.0001.0000.3570.6900.8510.513
반환여부0.5210.3571.0000.0620.1840.265
금융기관명0.2360.6900.0621.0000.5681.000
증권금액0.0000.8510.1840.5681.0000.540
보증보험회사0.1850.5130.2651.0000.5401.000
2023-12-12T16:14:37.844782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
반환여부보증보험회사금융기관명
반환여부1.0000.1760.074
보증보험회사0.1761.0000.997
금융기관명0.0740.9971.000
2023-12-12T16:14:37.998109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번세대수증권금액반환여부금융기관명보증보험회사
순번1.000-0.301-0.2880.3950.1340.123
세대수-0.3011.0000.4170.2550.3220.354
증권금액-0.2880.4171.0000.2240.4440.436
반환여부0.3950.2550.2241.0000.0740.176
금융기관명0.1340.3220.4440.0741.0000.997
보증보험회사0.1230.3540.4360.1760.9971.000

Missing values

2023-12-12T16:14:31.633565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:14:31.808577image/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.
2023-12-12T16:14:31.964142image/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

순번관리시군구관리년도-연번건축물위치(지번주소)건물명사업주(건축주)세대수반환여부금융기관명증권금액보증보험회사사용승인일
01부산광역시 남구2022 - 00014부산광역시 남구 대연동 대지 30-29번지더빌리지정미희8미반환<NA>254692090서울보증보험주식회사2022-07-20
12부산광역시 남구2022 - 00013부산광역시 남구 대연동 대지 281-31번지엘이드지31(주)제이엘컴퍼니12미반환<NA>600817170서울보증보험주식회사2022-07-14
23부산광역시 남구2022 - 00012부산광역시 남구 우암동 대지 39-8번지이안 오션파크W케이비부동산신탁㈜155미반환<NA>22966963683건설공제조합2022-07-12
34부산광역시 남구2022 - 00011부산광역시 남구 문현동 대지 119-50번지글로리아3김은주11미반환<NA>687563860서울보증보험주식회사2022-05-30
45부산광역시 남구2022 - 00010부산광역시 남구 용호동 대지 388-2번지대정빌윤대현12미반환<NA>312775802건설공제조합2022-07-11
56부산광역시 남구2022 - 00009부산광역시 남구 대연동 대지 1490-14번지엘이즈D14㈜제이엘컴퍼니장미영14미반환<NA>89712400건설공제조합<NA>
67부산광역시 남구2022 - 00008부산광역시 남구 용호동 대지 422-45번지베스테이이준호10미반환<NA>319835380서울보증보험주식회사<NA>
78부산광역시 남구2022 - 00007부산광역시 남구 감만동 대지 33-8번지 외2모던빌㈜지엠디18미반환<NA>657197000건설공제조합<NA>
89부산광역시 남구2022 - 00006부산광역시 남구 대연동 대지 543-2번지르씨엘 대연㈜더블유에스이엔씨28미반환<NA>631155160서울보증보험주식회사<NA>
910부산광역시 남구2022 - 00005부산광역시 남구 용호동 대지 407-10번지 외1오케이더시티파크우리자산신탁주식회사22미반환<NA>1330273000건설공제조합<NA>
순번관리시군구관리년도-연번건축물위치(지번주소)건물명사업주(건축주)세대수반환여부금융기관명증권금액보증보험회사사용승인일
196192부산광역시 남구2016 - 00010부산광역시 남구 대연동 대지 376-1린다비스타(주)참편한39미반환건설공제조합69735060건설공제조합2016-04-27
197193부산광역시 남구2016 - 00009부산광역시 남구 대연동 대지 1506-15성산골든빌이찬수 외1인 (유영자)16미반환서울보증보험주식회사29250460서울보증보험주식회사2016-03-17
198194부산광역시 남구2016 - 00008부산광역시 남구 용호동 대지 479-24우성빌리지캐슬1차임성희8반환서울보증보험주식회사16986260서울보증보험주식회사2016-04-05
199195부산광역시 남구2016 - 00007부산광역시 남구 대연동 대지 352-2썬샤인펠리체김평수12반환서울보증보험주식회사62270470서울보증보험주식회사2016-03-28
200196부산광역시 남구2016 - 00006부산광역시 남구 문현동 대지 805-1홍익빌레트3임채용27반환서울보증보험주식회사53626710서울보증보험주식회사2016-02-19
201197부산광역시 남구2016 - 00005부산광역시 남구 대연동 대지 1730-16다온빌(주)세라건설박성희8반환건설공제조합17260980건설공제조합2016-03-10
202198부산광역시 남구2016 - 00004부산광역시 남구 용호동 대지 76-6제네스빌(주)금문개발12반환건설공제조합21068788건설공제조합2016-02-04
203199부산광역시 남구2016 - 00003부산광역시 남구 대연동 대지 1753-14올리브하우스7차황의인 외 1인(황의웅)8미반환서울보증보험주식회사15734150서울보증보험주식회사2016-02-17
204200부산광역시 남구2016 - 00002부산광역시 남구 대연동 대지 875-4도연2황덕미10미반환서울보증보험주식회사15325460서울보증보험주식회사2016-01-21
205201부산광역시 남구2016 - 00001부산광역시 남구 문현동 대지 127-57문현헤즈1차강혀숙 외1인12반환서울보증보험주식회사20839110서울보증보험주식회사2016-01-12