Overview

Dataset statistics

Number of variables26
Number of observations190
Missing cells1617
Missing cells (%)32.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory40.2 KiB
Average record size in memory216.7 B

Variable types

Numeric7
Text5
Categorical7
DateTime6
Boolean1

Dataset

Description대구도시개발공사 분양 주택 정보 입니다. 메타데이터기반 공공데이터 개방자료이기 때문에 가공되지 않은 원본 테이블의 데이터가 등록되었습니다.
URLhttps://www.data.go.kr/data/15120625/fileData.do

Alerts

분양전환구분 is highly imbalanced (55.6%)Imbalance
사용여부 is highly imbalanced (56.5%)Imbalance
건축구조 is highly imbalanced (68.0%)Imbalance
홈페이지사용여부 is highly imbalanced (52.1%)Imbalance
소재지우편번호 has 77 (40.5%) missing valuesMissing
소재지기본주소 has 151 (79.5%) missing valuesMissing
소재지상세주소 has 29 (15.3%) missing valuesMissing
소재지우편번호지번 has 76 (40.0%) missing valuesMissing
소재지기본주소지번 has 154 (81.1%) missing valuesMissing
소재지상세주소지번 has 26 (13.7%) missing valuesMissing
건물번호 has 169 (88.9%) missing valuesMissing
분양전환일자 has 173 (91.1%) missing valuesMissing
사업 has 154 (81.1%) missing valuesMissing
입주일자 has 181 (95.3%) missing valuesMissing
착공일자 has 175 (92.1%) missing valuesMissing
준공일자 has 166 (87.4%) missing valuesMissing
총대지면적 has 42 (22.1%) missing valuesMissing
토지원가 has 44 (23.2%) missing valuesMissing
주택코드 has unique valuesUnique
총대지면적 has 120 (63.2%) zerosZeros
토지원가 has 138 (72.6%) zerosZeros

Reproduction

Analysis started2023-12-12 03:17:25.289006
Analysis finished2023-12-12 03:17:26.015382
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주택코드
Real number (ℝ)

UNIQUE 

Distinct190
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean532.17368
Minimum20
Maximum998
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T12:17:26.124629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile105.45
Q1250.75
median544.5
Q3816.75
95-th percentile963.55
Maximum998
Range978
Interquartile range (IQR)566

Descriptive statistics

Standard deviation297.71212
Coefficient of variation (CV)0.5594266
Kurtosis-1.3185953
Mean532.17368
Median Absolute Deviation (MAD)273.5
Skewness-0.20832193
Sum101113
Variance88632.504
MonotonicityNot monotonic
2023-12-12T12:17:26.340569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 1
 
0.5%
538 1
 
0.5%
529 1
 
0.5%
530 1
 
0.5%
531 1
 
0.5%
532 1
 
0.5%
533 1
 
0.5%
534 1
 
0.5%
535 1
 
0.5%
536 1
 
0.5%
Other values (180) 180
94.7%
ValueCountFrequency (%)
20 1
0.5%
21 1
0.5%
22 1
0.5%
23 1
0.5%
24 1
0.5%
100 1
0.5%
101 1
0.5%
103 1
0.5%
104 1
0.5%
105 1
0.5%
ValueCountFrequency (%)
998 1
0.5%
996 1
0.5%
994 1
0.5%
992 1
0.5%
991 1
0.5%
976 1
0.5%
974 1
0.5%
972 1
0.5%
971 1
0.5%
964 1
0.5%

주택명
Text

Distinct172
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T12:17:26.773351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length6.9052632
Min length3

Characters and Unicode

Total characters1312
Distinct characters153
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

Unique157 ?
Unique (%)82.6%

Sample

1st row지산5단지임대(2003)
2nd row까치아파트(2003)
3rd row강남아파트(2003)
4th row용지아파트(2003)
5th row비둘기아파트(2003)
ValueCountFrequency (%)
상가 4
 
2.0%
강남아파트 3
 
1.5%
용산파크 3
 
1.5%
까치아파트 3
 
1.5%
레포츠센터임대상가 2
 
1.0%
신암청아람 2
 
1.0%
죽곡청아람푸르지오 2
 
1.0%
달성2차청아람 2
 
1.0%
삼덕빌라 2
 
1.0%
강나루타운 2
 
1.0%
Other values (167) 176
87.6%
2023-12-12T12:17:27.297902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
가 77
 
5.9%
상 70
 
5.3%
아 58
 
4.4%
지 53
 
4.0%
람 41
 
3.1%
대 40
 
3.0%
청 39
 
3.0%
0 35
 
2.7%
임 34
 
2.6%
2 28
 
2.1%
Other values (143) 837
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1153
87.9%
Decimal Number 114
 
8.7%
Open Punctuation 15
 
1.1%
Close Punctuation 15
 
1.1%
Space Separator 11
 
0.8%
Other Punctuation 3
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 77
 
6.7%
상 70
 
6.1%
아 58
 
5.0%
지 53
 
4.6%
람 41
 
3.6%
대 40
 
3.5%
청 39
 
3.4%
임 34
 
2.9%
산 26
 
2.3%
파 26
 
2.3%
Other values (127) 689
59.8%
Decimal Number
ValueCountFrequency (%)
0 35
30.7%
2 28
24.6%
3 15
13.2%
1 13
 
11.4%
9 9
 
7.9%
5 8
 
7.0%
4 3
 
2.6%
6 1
 
0.9%
7 1
 
0.9%
8 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
@ 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1153
87.9%
Common 159
 
12.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 77
 
6.7%
상 70
 
6.1%
아 58
 
5.0%
지 53
 
4.6%
람 41
 
3.6%
대 40
 
3.5%
청 39
 
3.4%
임 34
 
2.9%
산 26
 
2.3%
파 26
 
2.3%
Other values (127) 689
59.8%
Common
ValueCountFrequency (%)
0 35
22.0%
2 28
17.6%
3 15
9.4%
( 15
9.4%
) 15
9.4%
1 13
 
8.2%
11
 
6.9%
9 9
 
5.7%
5 8
 
5.0%
4 3
 
1.9%
Other values (6) 7
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1153
87.9%
ASCII 159
 
12.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
가 77
 
6.7%
상 70
 
6.1%
아 58
 
5.0%
지 53
 
4.6%
람 41
 
3.6%
대 40
 
3.5%
청 39
 
3.4%
임 34
 
2.9%
산 26
 
2.3%
파 26
 
2.3%
Other values (127) 689
59.8%
ASCII
ValueCountFrequency (%)
0 35
22.0%
2 28
17.6%
3 15
9.4%
( 15
9.4%
) 15
9.4%
1 13
 
8.2%
11
 
6.9%
9 9
 
5.7%
5 8
 
5.0%
4 3
 
1.9%
Other values (6) 7
 
4.4%

주택구분
Categorical

Distinct6
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
임대(영구)
42 
공공임대
38 
상가분양
32 
주택분양
30 
매입임대(영구)
28 

Length

Max length8
Median length4
Mean length5.0315789
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row임대(영구)
2nd row임대(영구)
3rd row임대(영구)
4th row임대(영구)
5th row임대(영구)

Common Values

ValueCountFrequency (%)
임대(영구) 42
22.1%
공공임대 38
20.0%
상가분양 32
16.8%
주택분양 30
15.8%
매입임대(영구) 28
14.7%
상가임대 20
10.5%

Length

2023-12-12T12:17:27.516530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:17:27.713334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
임대(영구 42
22.1%
공공임대 38
20.0%
상가분양 32
16.8%
주택분양 30
15.8%
매입임대(영구 28
14.7%
상가임대 20
10.5%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)47.8%
Missing77
Missing (%)40.5%
Infinite0
Infinite (%)0.0%
Mean655710.35
Minimum41170
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T12:17:27.910299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41170
5-th percentile42919
Q1701010
median702120
Q3705030
95-th percentile711813.2
Maximum711891
Range670721
Interquartile range (IQR)4020

Descriptive statistics

Standard deviation170819.44
Coefficient of variation (CV)0.26051052
Kurtosis9.4511702
Mean655710.35
Median Absolute Deviation (MAD)1960
Skewness-3.347236
Sum74095269
Variance2.9179282 × 1010
MonotonicityNot monotonic
2023-12-12T12:17:28.119933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
705030 10
 
5.3%
701010 7
 
3.7%
700440 6
 
3.2%
711815 5
 
2.6%
711812 4
 
2.1%
702110 4
 
2.1%
702120 4
 
2.1%
704370 4
 
2.1%
704926 3
 
1.6%
700413 3
 
1.6%
Other values (44) 63
33.2%
(Missing) 77
40.5%
ValueCountFrequency (%)
41170 1
 
0.5%
41945 2
 
1.1%
42251 1
 
0.5%
42919 3
1.6%
43009 1
 
0.5%
535352 1
 
0.5%
700411 1
 
0.5%
700413 3
1.6%
700421 2
 
1.1%
700440 6
3.2%
ValueCountFrequency (%)
711891 1
 
0.5%
711815 5
2.6%
711812 4
2.1%
711785 1
 
0.5%
711784 2
 
1.1%
706370 1
 
0.5%
706100 2
 
1.1%
706091 3
1.6%
706031 2
 
1.1%
705838 1
 
0.5%

소재지기본주소
Text

MISSING 

Distinct29
Distinct (%)74.4%
Missing151
Missing (%)79.5%
Memory size1.6 KiB
2023-12-12T12:17:28.426649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length16.307692
Min length9

Characters and Unicode

Total characters636
Distinct characters59
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

Unique20 ?
Unique (%)51.3%

Sample

1st row대구광역시 동구 효동로 108
2nd row대구광역시 중구 동인동1가
3rd row대구광역시 중구 남산4동
4th row대구광역시 북구 학정로110길 29
5th row대구광역시 달성군 대실역북로 38
ValueCountFrequency (%)
대구광역시 34
23.1%
달성군 18
 
12.2%
동구 11
 
7.5%
다사읍 8
 
5.4%
대구 5
 
3.4%
중구 5
 
3.4%
대실역남로 5
 
3.4%
죽곡리 4
 
2.7%
대실역북로 4
 
2.7%
북구 3
 
2.0%
Other values (37) 50
34.0%
2023-12-12T12:17:28.984721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
108
17.0%
구 63
 
9.9%
대 50
 
7.9%
역 43
 
6.8%
시 35
 
5.5%
광 34
 
5.3%
동 25
 
3.9%
달 21
 
3.3%
성 21
 
3.3%
로 20
 
3.1%
Other values (49) 216
34.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 459
72.2%
Space Separator 108
 
17.0%
Decimal Number 69
 
10.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 63
13.7%
대 50
 
10.9%
역 43
 
9.4%
시 35
 
7.6%
광 34
 
7.4%
동 25
 
5.4%
달 21
 
4.6%
성 21
 
4.6%
로 20
 
4.4%
군 18
 
3.9%
Other values (38) 129
28.1%
Decimal Number
ValueCountFrequency (%)
3 13
18.8%
1 12
17.4%
2 10
14.5%
4 8
11.6%
7 7
10.1%
9 5
 
7.2%
8 4
 
5.8%
6 4
 
5.8%
0 4
 
5.8%
5 2
 
2.9%
Space Separator
ValueCountFrequency (%)
108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 459
72.2%
Common 177
 
27.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 63
13.7%
대 50
 
10.9%
역 43
 
9.4%
시 35
 
7.6%
광 34
 
7.4%
동 25
 
5.4%
달 21
 
4.6%
성 21
 
4.6%
로 20
 
4.4%
군 18
 
3.9%
Other values (38) 129
28.1%
Common
ValueCountFrequency (%)
108
61.0%
3 13
 
7.3%
1 12
 
6.8%
2 10
 
5.6%
4 8
 
4.5%
7 7
 
4.0%
9 5
 
2.8%
8 4
 
2.3%
6 4
 
2.3%
0 4
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 459
72.2%
ASCII 177
 
27.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
108
61.0%
3 13
 
7.3%
1 12
 
6.8%
2 10
 
5.6%
4 8
 
4.5%
7 7
 
4.0%
9 5
 
2.8%
8 4
 
2.3%
6 4
 
2.3%
0 4
 
2.3%
Hangul
ValueCountFrequency (%)
구 63
13.7%
대 50
 
10.9%
역 43
 
9.4%
시 35
 
7.6%
광 34
 
7.4%
동 25
 
5.4%
달 21
 
4.6%
성 21
 
4.6%
로 20
 
4.4%
군 18
 
3.9%
Other values (38) 129
28.1%

소재지상세주소
Text

MISSING 

Distinct131
Distinct (%)81.4%
Missing29
Missing (%)15.3%
Memory size1.6 KiB
2023-12-12T12:17:29.434895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length15.819876
Min length3

Characters and Unicode

Total characters2547
Distinct characters104
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

Unique110 ?
Unique (%)68.3%

Sample

1st row중구 남산동 2482-1
2nd row동구 신암동 483-3
3rd row수성구 범물동 1283
4th row달서구 상인동 1563
5th row대구 동구 효목동 9
ValueCountFrequency (%)
동구 23
 
4.6%
중구 22
 
4.4%
북구 20
 
4.0%
달서구 19
 
3.8%
수성구 19
 
3.8%
대구 19
 
3.8%
남구 15
 
3.0%
대명동 12
 
2.4%
신암동 11
 
2.2%
남산동 10
 
2.0%
Other values (157) 326
65.7%
2023-12-12T12:17:30.152903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
639
25.1%
1 176
 
6.9%
동 154
 
6.0%
구 149
 
5.9%
2 108
 
4.2%
- 98
 
3.8%
3 77
 
3.0%
0 70
 
2.7%
4 67
 
2.6%
7 67
 
2.6%
Other values (94) 942
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 996
39.1%
Decimal Number 752
29.5%
Space Separator 639
25.1%
Dash Punctuation 98
 
3.8%
Other Punctuation 22
 
0.9%
Close Punctuation 20
 
0.8%
Open Punctuation 20
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 154
 
15.5%
구 149
 
15.0%
대 47
 
4.7%
산 33
 
3.3%
지 32
 
3.2%
남 28
 
2.8%
서 27
 
2.7%
신 26
 
2.6%
성 25
 
2.5%
중 23
 
2.3%
Other values (79) 452
45.4%
Decimal Number
ValueCountFrequency (%)
1 176
23.4%
2 108
14.4%
3 77
10.2%
0 70
 
9.3%
4 67
 
8.9%
7 67
 
8.9%
9 58
 
7.7%
8 52
 
6.9%
5 39
 
5.2%
6 38
 
5.1%
Space Separator
ValueCountFrequency (%)
639
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 98
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1551
60.9%
Hangul 996
39.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 154
 
15.5%
구 149
 
15.0%
대 47
 
4.7%
산 33
 
3.3%
지 32
 
3.2%
남 28
 
2.8%
서 27
 
2.7%
신 26
 
2.6%
성 25
 
2.5%
중 23
 
2.3%
Other values (79) 452
45.4%
Common
ValueCountFrequency (%)
639
41.2%
1 176
 
11.3%
2 108
 
7.0%
- 98
 
6.3%
3 77
 
5.0%
0 70
 
4.5%
4 67
 
4.3%
7 67
 
4.3%
9 58
 
3.7%
8 52
 
3.4%
Other values (5) 139
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1551
60.9%
Hangul 996
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
639
41.2%
1 176
 
11.3%
2 108
 
7.0%
- 98
 
6.3%
3 77
 
5.0%
0 70
 
4.5%
4 67
 
4.3%
7 67
 
4.3%
9 58
 
3.7%
8 52
 
3.4%
Other values (5) 139
 
9.0%
Hangul
ValueCountFrequency (%)
동 154
 
15.5%
구 149
 
15.0%
대 47
 
4.7%
산 33
 
3.3%
지 32
 
3.2%
남 28
 
2.8%
서 27
 
2.7%
신 26
 
2.6%
성 25
 
2.5%
중 23
 
2.3%
Other values (79) 452
45.4%

소재지우편번호지번
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)40.4%
Missing76
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean691226.16
Minimum42919
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T12:17:30.364850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42919
5-th percentile700413
Q1701020
median702903
Q3705809
95-th percentile711815
Maximum711891
Range668972
Interquartile range (IQR)4789

Descriptive statistics

Standard deviation88522.849
Coefficient of variation (CV)0.1280664
Kurtosis50.70186
Mean691226.16
Median Absolute Deviation (MAD)2127
Skewness-7.1214958
Sum78799782
Variance7.8362947 × 109
MonotonicityNot monotonic
2023-12-12T12:17:30.937661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
705030 10
 
5.3%
711815 9
 
4.7%
701010 9
 
4.7%
700440 6
 
3.2%
700413 5
 
2.6%
701020 5
 
2.6%
701840 4
 
2.1%
702110 4
 
2.1%
711891 4
 
2.1%
702120 4
 
2.1%
Other values (36) 54
28.4%
(Missing) 76
40.0%
ValueCountFrequency (%)
42919 2
 
1.1%
535352 1
 
0.5%
700413 5
2.6%
700421 2
 
1.1%
700440 6
3.2%
700444 1
 
0.5%
700749 1
 
0.5%
700808 1
 
0.5%
701010 9
4.7%
701020 5
2.6%
ValueCountFrequency (%)
711891 4
2.1%
711815 9
4.7%
711812 4
2.1%
711784 1
 
0.5%
706370 1
 
0.5%
706100 2
 
1.1%
706091 3
 
1.6%
706031 2
 
1.1%
705838 1
 
0.5%
705816 1
 
0.5%

소재지기본주소지번
Text

MISSING 

Distinct21
Distinct (%)58.3%
Missing154
Missing (%)81.1%
Memory size1.6 KiB
2023-12-12T12:17:31.220441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length13.944444
Min length8

Characters and Unicode

Total characters502
Distinct characters46
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

Unique12 ?
Unique (%)33.3%

Sample

1st row대구 동구 효목동
2nd row대구광역시 동구
3rd row대구광역시 중구 동인동1가
4th row대구광역시 중구 남산4동
5th row대구광역시 수성구 노변동
ValueCountFrequency (%)
대구광역시 25
19.8%
달성군 17
13.5%
다사읍 13
10.3%
대구 11
8.7%
동구 10
 
7.9%
죽곡리 8
 
6.3%
신암동 4
 
3.2%
매곡리 4
 
3.2%
구지면 4
 
3.2%
응암리 4
 
3.2%
Other values (17) 26
20.6%
2023-12-12T12:17:31.693106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
90
17.9%
구 59
 
11.8%
대 37
 
7.4%
동 29
 
5.8%
역 26
 
5.2%
광 25
 
5.0%
시 25
 
5.0%
성 20
 
4.0%
달 18
 
3.6%
군 17
 
3.4%
Other values (36) 156
31.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 401
79.9%
Space Separator 90
 
17.9%
Decimal Number 11
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 59
14.7%
대 37
 
9.2%
동 29
 
7.2%
역 26
 
6.5%
광 25
 
6.2%
시 25
 
6.2%
성 20
 
5.0%
달 18
 
4.5%
군 17
 
4.2%
리 16
 
4.0%
Other values (30) 129
32.2%
Decimal Number
ValueCountFrequency (%)
1 4
36.4%
3 3
27.3%
4 2
18.2%
2 1
 
9.1%
8 1
 
9.1%
Space Separator
ValueCountFrequency (%)
90
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 401
79.9%
Common 101
 
20.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 59
14.7%
대 37
 
9.2%
동 29
 
7.2%
역 26
 
6.5%
광 25
 
6.2%
시 25
 
6.2%
성 20
 
5.0%
달 18
 
4.5%
군 17
 
4.2%
리 16
 
4.0%
Other values (30) 129
32.2%
Common
ValueCountFrequency (%)
90
89.1%
1 4
 
4.0%
3 3
 
3.0%
4 2
 
2.0%
2 1
 
1.0%
8 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 401
79.9%
ASCII 101
 
20.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
90
89.1%
1 4
 
4.0%
3 3
 
3.0%
4 2
 
2.0%
2 1
 
1.0%
8 1
 
1.0%
Hangul
ValueCountFrequency (%)
구 59
14.7%
대 37
 
9.2%
동 29
 
7.2%
역 26
 
6.5%
광 25
 
6.2%
시 25
 
6.2%
성 20
 
5.0%
달 18
 
4.5%
군 17
 
4.2%
리 16
 
4.0%
Other values (30) 129
32.2%

소재지상세주소지번
Text

MISSING 

Distinct130
Distinct (%)79.3%
Missing26
Missing (%)13.7%
Memory size1.6 KiB
2023-12-12T12:17:32.255738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length15.006098
Min length1

Characters and Unicode

Total characters2461
Distinct characters88
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

Unique105 ?
Unique (%)64.0%

Sample

1st row중구 남산동 2482-1
2nd row동구 신암동 483-3
3rd row수성구 범물동 1283
4th row달서구 상인동 1563
5th row9
ValueCountFrequency (%)
대구 25
 
5.0%
동구 24
 
4.8%
중구 22
 
4.4%
북구 21
 
4.2%
수성구 20
 
4.0%
달서구 19
 
3.8%
남구 15
 
3.0%
대명동 12
 
2.4%
남산동 10
 
2.0%
2482-1 9
 
1.8%
Other values (147) 321
64.5%
2023-12-12T12:17:33.048891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
639
26.0%
1 189
 
7.7%
구 159
 
6.5%
동 149
 
6.1%
2 116
 
4.7%
- 100
 
4.1%
0 80
 
3.3%
3 79
 
3.2%
7 72
 
2.9%
4 71
 
2.9%
Other values (78) 807
32.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 900
36.6%
Decimal Number 813
33.0%
Space Separator 639
26.0%
Dash Punctuation 100
 
4.1%
Other Punctuation 7
 
0.3%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 159
17.7%
동 149
16.6%
대 51
 
5.7%
산 33
 
3.7%
지 33
 
3.7%
성 29
 
3.2%
남 28
 
3.1%
서 27
 
3.0%
수 23
 
2.6%
달 23
 
2.6%
Other values (63) 345
38.3%
Decimal Number
ValueCountFrequency (%)
1 189
23.2%
2 116
14.3%
0 80
9.8%
3 79
9.7%
7 72
 
8.9%
4 71
 
8.7%
8 65
 
8.0%
9 58
 
7.1%
5 46
 
5.7%
6 37
 
4.6%
Space Separator
ValueCountFrequency (%)
639
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1561
63.4%
Hangul 900
36.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 159
17.7%
동 149
16.6%
대 51
 
5.7%
산 33
 
3.7%
지 33
 
3.7%
성 29
 
3.2%
남 28
 
3.1%
서 27
 
3.0%
수 23
 
2.6%
달 23
 
2.6%
Other values (63) 345
38.3%
Common
ValueCountFrequency (%)
639
40.9%
1 189
 
12.1%
2 116
 
7.4%
- 100
 
6.4%
0 80
 
5.1%
3 79
 
5.1%
7 72
 
4.6%
4 71
 
4.5%
8 65
 
4.2%
9 58
 
3.7%
Other values (5) 92
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1561
63.4%
Hangul 900
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
639
40.9%
1 189
 
12.1%
2 116
 
7.4%
- 100
 
6.4%
0 80
 
5.1%
3 79
 
5.1%
7 72
 
4.6%
4 71
 
4.5%
8 65
 
4.2%
9 58
 
3.7%
Other values (5) 92
 
5.9%
Hangul
ValueCountFrequency (%)
구 159
17.7%
동 149
16.6%
대 51
 
5.7%
산 33
 
3.7%
지 33
 
3.7%
성 29
 
3.2%
남 28
 
3.1%
서 27
 
3.0%
수 23
 
2.6%
달 23
 
2.6%
Other values (63) 345
38.3%

건물번호
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)57.1%
Missing169
Missing (%)88.9%
Infinite0
Infinite (%)0.0%
Mean2.7435905 × 1024
Minimum2.7110105 × 1024
Maximum2.771038 × 1024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T12:17:33.215103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.7110105 × 1024
5-th percentile2.7110105 × 1024
Q12.7140101 × 1024
median2.7710256 × 1024
Q32.7710256 × 1024
95-th percentile2.7710256 × 1024
Maximum2.771038 × 1024
Range6.0027522 × 1022
Interquartile range (IQR)5.7015527 × 1022

Descriptive statistics

Standard deviation2.9589638 × 1022
Coefficient of variation (CV)0.010785005
Kurtosis-2.1775913
Mean2.7435905 × 1024
Median Absolute Deviation (MAD)1.2421996 × 1019
Skewness-0.12366797
Sum5.76154 × 1025
Variance8.7554665 × 1044
MonotonicityNot monotonic
2023-12-12T12:17:33.379790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2.77102562710818e+24 4
 
2.1%
2.71101070010383e+24 3
 
1.6%
2.77102562811537e+24 2
 
1.1%
2.71401010010475e+24 2
 
1.1%
2.71401020010196e+24 2
 
1.1%
2.71101050010026e+24 2
 
1.1%
2.72301200010925e+24 1
 
0.5%
2.77102562811538e+24 1
 
0.5%
2.77102560011552e+24 1
 
0.5%
2.77102562710822e+24 1
 
0.5%
Other values (2) 2
 
1.1%
(Missing) 169
88.9%
ValueCountFrequency (%)
2.71101050010026e+24 2
1.1%
2.71101070010383e+24 3
1.6%
2.71401010010475e+24 2
1.1%
2.71401020010196e+24 2
1.1%
2.72301200010925e+24 1
 
0.5%
2.77102560011552e+24 1
 
0.5%
2.77102562710815e+24 1
 
0.5%
2.77102562710818e+24 4
2.1%
2.77102562710822e+24 1
 
0.5%
2.77102562811537e+24 2
1.1%
ValueCountFrequency (%)
2.77103802211178e+24 1
 
0.5%
2.77102562811538e+24 1
 
0.5%
2.77102562811537e+24 2
1.1%
2.77102562710822e+24 1
 
0.5%
2.77102562710818e+24 4
2.1%
2.77102562710815e+24 1
 
0.5%
2.77102560011552e+24 1
 
0.5%
2.72301200010925e+24 1
 
0.5%
2.71401020010196e+24 2
1.1%
2.71401010010475e+24 2
1.1%

분양전환구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
164 
분양전환
17 
전환대기
 
9

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 164
86.3%
분양전환 17
 
8.9%
전환대기 9
 
4.7%

Length

2023-12-12T12:17:33.550490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:17:33.658165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 164
86.3%
분양전환 17
 
8.9%
전환대기 9
 
4.7%

분양전환일자
Date

MISSING 

Distinct14
Distinct (%)82.4%
Missing173
Missing (%)91.1%
Memory size1.6 KiB
Minimum2002-12-18 00:00:00
Maximum2028-01-03 00:00:00
2023-12-12T12:17:33.767178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:17:33.922476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

사업
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)55.6%
Missing154
Missing (%)81.1%
Infinite0
Infinite (%)0.0%
Mean1470290.8
Minimum1031113
Maximum1901113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T12:17:34.082090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1031113
5-th percentile1098765.2
Q11231113
median1506113
Q31711111
95-th percentile1901113
Maximum1901113
Range870000
Interquartile range (IQR)479998

Descriptive statistics

Standard deviation248227.76
Coefficient of variation (CV)0.16882903
Kurtosis-1.0277958
Mean1470290.8
Median Absolute Deviation (MAD)209999
Skewness0.038416372
Sum52930467
Variance6.1617018 × 1010
MonotonicityNot monotonic
2023-12-12T12:17:34.267852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
1581113 4
 
2.1%
1901113 3
 
1.6%
1221113 3
 
1.6%
1551113 3
 
1.6%
1721113 3
 
1.6%
1331113 3
 
1.6%
1741113 2
 
1.1%
1711111 2
 
1.1%
1231113 2
 
1.1%
1151315 1
 
0.5%
Other values (10) 10
 
5.3%
(Missing) 154
81.1%
ValueCountFrequency (%)
1031113 1
 
0.5%
1091113 1
 
0.5%
1101316 1
 
0.5%
1141111 1
 
0.5%
1151315 1
 
0.5%
1221113 3
1.6%
1231113 2
1.1%
1331113 3
1.6%
1341113 1
 
0.5%
1381113 1
 
0.5%
ValueCountFrequency (%)
1901113 3
1.6%
1741113 2
1.1%
1721113 3
1.6%
1711111 2
1.1%
1581113 4
2.1%
1551113 3
1.6%
1541113 1
 
0.5%
1471113 1
 
0.5%
1411113 1
 
0.5%
1401113 1
 
0.5%

입주일자
Date

MISSING 

Distinct8
Distinct (%)88.9%
Missing181
Missing (%)95.3%
Memory size1.6 KiB
Minimum2009-06-01 00:00:00
Maximum2021-06-01 00:00:00
2023-12-12T12:17:34.420791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:17:34.570324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

사용여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size322.0 B
False
173 
True
 
17
ValueCountFrequency (%)
False 173
91.1%
True 17
 
8.9%
2023-12-12T12:17:34.727134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

건축구조
Categorical

IMBALANCE 

Distinct9
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
157 
철근콘크리트조
17 
철근콘크리트구조
 
9
철근콘크리트
 
2
철근콘크리트 벽식구조
 
1
Other values (4)
 
4

Length

Max length11
Median length4
Mean length4.5947368
Min length3

Unique

Unique5 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 157
82.6%
철근콘크리트조 17
 
8.9%
철근콘크리트구조 9
 
4.7%
철근콘크리트 2
 
1.1%
철근콘크리트 벽식구조 1
 
0.5%
철금콘크리트조 1
 
0.5%
철근콘크리트(벽식)조 1
 
0.5%
철근콘크리트(벽식) 1
 
0.5%
R.C 1
 
0.5%

Length

2023-12-12T12:17:34.888195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:17:35.086181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 157
82.2%
철근콘크리트조 17
 
8.9%
철근콘크리트구조 9
 
4.7%
철근콘크리트 3
 
1.6%
벽식구조 1
 
0.5%
철금콘크리트조 1
 
0.5%
철근콘크리트(벽식)조 1
 
0.5%
철근콘크리트(벽식 1
 
0.5%
r.c 1
 
0.5%

착공일자
Date

MISSING 

Distinct9
Distinct (%)60.0%
Missing175
Missing (%)92.1%
Memory size1.6 KiB
Minimum1995-03-02 00:00:00
Maximum2018-08-24 00:00:00
2023-12-12T12:17:35.236187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:17:35.375551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

준공일자
Date

MISSING 

Distinct15
Distinct (%)62.5%
Missing166
Missing (%)87.4%
Memory size1.6 KiB
Minimum1995-11-30 00:00:00
Maximum2021-06-30 00:00:00
2023-12-12T12:17:35.568566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:17:35.748313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

내용년수
Categorical

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
137 
<NA>
43 
50
 
10

Length

Max length4
Median length1
Mean length1.7315789
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 137
72.1%
<NA> 43
 
22.6%
50 10
 
5.3%

Length

2023-12-12T12:17:35.938072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:17:36.078704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 137
72.1%
na 43
 
22.6%
50 10
 
5.3%

총대지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)14.9%
Missing42
Missing (%)22.1%
Infinite0
Infinite (%)0.0%
Mean4115.6993
Minimum0
Maximum65243.4
Zeros120
Zeros (%)63.2%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T12:17:36.204919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile33368.455
Maximum65243.4
Range65243.4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11405.384
Coefficient of variation (CV)2.7711897
Kurtosis8.0979344
Mean4115.6993
Median Absolute Deviation (MAD)0
Skewness2.8811873
Sum609123.5
Variance1.3008278 × 108
MonotonicityNot monotonic
2023-12-12T12:17:36.360869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 120
63.2%
30548.6 3
 
1.6%
28309.0 2
 
1.1%
21245.3 2
 
1.1%
343.0 2
 
1.1%
34902.7 2
 
1.1%
41111.0 2
 
1.1%
25064.0 1
 
0.5%
65243.4 1
 
0.5%
13242.5 1
 
0.5%
Other values (12) 12
 
6.3%
(Missing) 42
 
22.1%
ValueCountFrequency (%)
0.0 120
63.2%
206.0 1
 
0.5%
246.0 1
 
0.5%
267.0 1
 
0.5%
328.0 1
 
0.5%
343.0 2
 
1.1%
471.0 1
 
0.5%
1054.0 1
 
0.5%
1194.0 1
 
0.5%
13242.5 1
 
0.5%
ValueCountFrequency (%)
65243.4 1
 
0.5%
43285.9 1
 
0.5%
41111.0 2
1.1%
34902.7 2
1.1%
34057.7 1
 
0.5%
34054.7 1
 
0.5%
32094.0 1
 
0.5%
30548.6 3
1.6%
28309.0 2
1.1%
25064.0 1
 
0.5%

토지원가
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)5.5%
Missing44
Missing (%)23.2%
Infinite0
Infinite (%)0.0%
Mean16720135
Minimum0
Maximum5.4351843 × 108
Zeros138
Zeros (%)72.6%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T12:17:36.501222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.0902675 × 108
Maximum5.4351843 × 108
Range5.4351843 × 108
Interquartile range (IQR)0

Descriptive statistics

Standard deviation79312601
Coefficient of variation (CV)4.7435384
Kurtosis30.359992
Mean16720135
Median Absolute Deviation (MAD)0
Skewness5.4061508
Sum2.4411397 × 109
Variance6.2904886 × 1015
MonotonicityNot monotonic
2023-12-12T12:17:36.628268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 138
72.6%
145369000 2
 
1.1%
422125000 1
 
0.5%
152183590 1
 
0.5%
203400000 1
 
0.5%
534533649 1
 
0.5%
543518428 1
 
0.5%
294641000 1
 
0.5%
(Missing) 44
 
23.2%
ValueCountFrequency (%)
0 138
72.6%
145369000 2
 
1.1%
152183590 1
 
0.5%
203400000 1
 
0.5%
294641000 1
 
0.5%
422125000 1
 
0.5%
534533649 1
 
0.5%
543518428 1
 
0.5%
ValueCountFrequency (%)
543518428 1
 
0.5%
534533649 1
 
0.5%
422125000 1
 
0.5%
294641000 1
 
0.5%
203400000 1
 
0.5%
152183590 1
 
0.5%
145369000 2
 
1.1%
0 138
72.6%

홈페이지사용여부
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
154 
1
34 
<NA>
 
2

Length

Max length4
Median length1
Mean length1.0315789
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 154
81.1%
1 34
 
17.9%
<NA> 2
 
1.1%

Length

2023-12-12T12:17:36.788859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:17:36.967591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 154
81.1%
1 34
 
17.9%
na 2
 
1.1%

등록자번호
Categorical

Distinct14
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
admin
114 
20040175
17 
19940148
16 
19920113
15 
20091003
 
11
Other values (9)
17 

Length

Max length8
Median length5
Mean length6.2
Min length5

Unique

Unique3 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
admin 114
60.0%
20040175 17
 
8.9%
19940148 16
 
8.4%
19920113 15
 
7.9%
20091003 11
 
5.8%
19940147 4
 
2.1%
20090218 2
 
1.1%
20170258 2
 
1.1%
20040189 2
 
1.1%
20109001 2
 
1.1%
Other values (4) 5
 
2.6%

Length

2023-12-12T12:17:37.098787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
admin 114
60.0%
20040175 17
 
8.9%
19940148 16
 
8.4%
19920113 15
 
7.9%
20091003 11
 
5.8%
19940147 4
 
2.1%
20090218 2
 
1.1%
20170258 2
 
1.1%
20040189 2
 
1.1%
20109001 2
 
1.1%
Other values (4) 5
 
2.6%

등록일시
Date

Distinct119
Distinct (%)62.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2007-12-02 01:10:27
Maximum2020-11-20 09:14:34
2023-12-12T12:17:37.274931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:17:37.437958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수정자번호
Categorical

Distinct9
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
admin
89 
20040189
75 
19940148
 
7
99999992
 
5
20160251
 
5
Other values (4)
9 

Length

Max length8
Median length8
Mean length6.5947368
Min length5

Unique

Unique2 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
admin 89
46.8%
20040189 75
39.5%
19940148 7
 
3.7%
99999992 5
 
2.6%
20160251 5
 
2.6%
20040175 4
 
2.1%
19920113 3
 
1.6%
20091003 1
 
0.5%
20170256 1
 
0.5%

Length

2023-12-12T12:17:37.593379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:17:37.769026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
admin 89
46.8%
20040189 75
39.5%
19940148 7
 
3.7%
99999992 5
 
2.6%
20160251 5
 
2.6%
20040175 4
 
2.1%
19920113 3
 
1.6%
20091003 1
 
0.5%
20170256 1
 
0.5%

수정일시
Date

Distinct108
Distinct (%)56.8%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2007-12-02 01:10:27
Maximum2023-07-27 14:53:33
2023-12-12T12:17:37.981888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:17:38.177494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Sample

주택코드주택명주택구분소재지우편번호소재지기본주소소재지상세주소소재지우편번호지번소재지기본주소지번소재지상세주소지번건물번호분양전환구분분양전환일자사업입주일자사용여부건축구조착공일자준공일자내용년수총대지면적토지원가홈페이지사용여부등록자번호등록일시수정자번호수정일시
020지산5단지임대(2003)임대(영구)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA>0admin2007-12-02 01:10:27admin2007-12-02 01:10:27
121까치아파트(2003)임대(영구)700440<NA>중구 남산동 2482-1700440<NA>중구 남산동 2482-1<NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA>0admin2007-12-02 01:10:27admin2007-12-02 01:10:27
222강남아파트(2003)임대(영구)701010<NA>동구 신암동 483-3701010<NA>동구 신암동 483-3<NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA>0admin2007-12-02 01:10:27admin2007-12-02 01:10:27
323용지아파트(2003)임대(영구)706100<NA>수성구 범물동 1283706100<NA>수성구 범물동 1283<NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA>0admin2007-12-02 01:10:27admin2007-12-02 01:10:27
424비둘기아파트(2003)임대(영구)704370<NA>달서구 상인동 1563704370<NA>달서구 상인동 1563<NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA>0admin2007-12-02 01:10:27admin2007-12-02 01:10:27
5100강나루타운주택분양701030<NA>대구 동구 효목동 9701030대구 동구 효목동9<NA><NA><NA><NA><NA>N<NA><NA><NA>00.000199501592013-01-25 15:30:25200401892018-10-29 15:33:20
6101강나루임대@공공임대701030<NA>대구 동구 효목동 9701030<NA>대구 동구 효목동 9<NA><NA><NA><NA><NA>N<NA><NA><NA>00.000199201132010-10-15 08:49:47200401892021-09-28 16:14:57
7103비둘기2000임대(영구)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>00.000admin2007-12-02 01:10:27admin2007-12-02 01:10:27
8104용산파크상가상가분양<NA><NA>달서구 용산동 911,912번지<NA><NA>달서구 용산동 911,912번지<NA><NA><NA><NA><NA>N<NA><NA><NA>00.000199201132010-09-28 15:42:35200401892019-06-14 08:47:06
9105강나루상가상가분양<NA><NA>동구 효목동 9번지<NA><NA>동구 효목동 9번지<NA><NA><NA>1031113<NA>N<NA><NA><NA>00.000200401752011-07-01 11:45:50200401892019-06-14 08:49:55
주택코드주택명주택구분소재지우편번호소재지기본주소소재지상세주소소재지우편번호지번소재지기본주소지번소재지상세주소지번건물번호분양전환구분분양전환일자사업입주일자사용여부건축구조착공일자준공일자내용년수총대지면적토지원가홈페이지사용여부등록자번호등록일시수정자번호수정일시
180815목련상가상가임대<NA><NA>북구 침산동<NA><NA>북구 침산동<NA><NA><NA><NA><NA>N<NA><NA>1995-11-300343.01453690000admin2011-07-11 14:42:24admin2011-07-11 14:42:24
181816까치상가상가분양<NA><NA>중구 남산동 2482-459<NA><NA>중구 남산동 2482-459<NA><NA><NA>1101316<NA>N<NA><NA>1995-11-3001054.05345336490199201132009-08-20 11:28:04200401892019-06-14 08:51:20
182817강남상가상가임대<NA><NA>동구 신암동 483-1<NA><NA>동구 신암동 483-1<NA><NA><NA><NA><NA>N<NA><NA><NA>01194.05435184281199401482013-10-16 14:36:40200401892019-06-14 08:46:34
183819동인시티상가상가분양<NA><NA>중구 동인1가 33번지<NA><NA>중구 동인1가 33번지<NA><NA><NA><NA><NA>N<NA><NA><NA>0246.02946410000admin2008-05-08 16:17:20200401892019-06-14 08:51:26
184821레스트빌매입임대(영구)705838<NA>남구 이천동 405-17705838<NA>남구 이천동 405-17<NA><NA><NA><NA><NA>N철근콘크리트구조<NA><NA><NA><NA><NA>0admin2007-12-02 01:10:27admin2007-12-02 01:10:27
185822영진그린빌매입임대(영구)702020<NA>북구 복현동 451-5702020<NA>북구 복현동 451-5<NA><NA><NA><NA><NA>N철근콘크리트구조<NA><NA><NA><NA><NA>0admin2007-12-02 01:10:27admin2007-12-02 01:10:27
186823복현파크빌매입임대(영구)702020<NA>북구 복현동 451-8702020<NA>북구 복현동 451-8<NA><NA><NA><NA><NA>N철근콘크리트구조<NA><NA><NA><NA><NA>0admin2007-12-02 01:10:27admin2007-12-02 01:10:27
187824동호빌매입임대(영구)705030<NA>남구 대명동 1741-36705030<NA>남구 대명동 1741-36<NA><NA><NA><NA><NA>N철근콘크리트구조<NA><NA><NA><NA><NA>0admin2007-12-02 01:10:27admin2007-12-02 01:10:27
188825성광빌매입임대(영구)705809<NA>남구 대명1동 1662-6705809<NA>남구 대명1동 1662-6<NA><NA><NA><NA><NA>N철근콘크리트구조<NA><NA><NA><NA><NA>0admin2007-12-02 01:10:27admin2007-12-02 01:10:27
189826골드캐슬매입임대(영구)703010<NA>서구 평리동 1033-12703010<NA>서구 평리동 1033-12<NA><NA><NA><NA><NA>N철근콘크리트구조<NA><NA><NA><NA><NA>0admin2007-12-02 01:10:27admin2007-12-02 01:10:27