Overview

Dataset statistics

Number of variables15
Number of observations120
Missing cells3
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.5 KiB
Average record size in memory124.1 B

Variable types

Text7
DateTime2
Categorical4
Numeric2

Dataset

Description부산광역시부산진구_공개공지현황_20230725
Author부산광역시 부산진구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15065179

Alerts

구군명 has constant value ""Constant
용도 is highly overall correlated with 공개공지개소 and 1 other fieldsHigh correlation
공개공지개소 is highly overall correlated with 용도High correlation
데이터기준일자 is highly overall correlated with 용도High correlation
데이터기준일자 is highly imbalanced (87.8%)Imbalance
공개공지편의시설 has 2 (1.7%) missing valuesMissing
건축물명 has unique valuesUnique
지번주소 has unique valuesUnique
연면적 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:47:22.533246
Analysis finished2023-12-10 16:47:24.054133
Duration1.52 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건축물명
Text

UNIQUE 

Distinct120
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T01:47:24.280815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length7.8416667
Min length3

Characters and Unicode

Total characters941
Distinct characters246
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique120 ?
Unique (%)100.0%

Sample

1st row도시개발공사
2nd row㈜kdb생명보험
3rd row전문건설회관
4th row부산진구청사
5th row한국외환은행
ValueCountFrequency (%)
서면 7
 
3.6%
더 6
 
3.1%
오피스텔 5
 
2.6%
파크 3
 
1.6%
더블루 3
 
1.6%
대동레미안 3
 
1.6%
로얄팰리스 2
 
1.0%
지원 2
 
1.0%
연지 2
 
1.0%
시티 2
 
1.0%
Other values (154) 157
81.8%
2023-12-11T01:47:24.780171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
72
 
7.7%
스 36
 
3.8%
리 25
 
2.7%
서 20
 
2.1%
면 19
 
2.0%
시 18
 
1.9%
트 18
 
1.9%
티 17
 
1.8%
이 17
 
1.8%
아 16
 
1.7%
Other values (236) 683
72.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 824
87.6%
Space Separator 72
 
7.7%
Uppercase Letter 25
 
2.7%
Decimal Number 13
 
1.4%
Lowercase Letter 3
 
0.3%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 36
 
4.4%
리 25
 
3.0%
서 20
 
2.4%
면 19
 
2.3%
시 18
 
2.2%
트 18
 
2.2%
티 17
 
2.1%
이 17
 
2.1%
아 16
 
1.9%
빌 15
 
1.8%
Other values (205) 623
75.6%
Uppercase Letter
ValueCountFrequency (%)
S 3
12.0%
T 2
 
8.0%
U 2
 
8.0%
D 2
 
8.0%
O 2
 
8.0%
E 2
 
8.0%
R 2
 
8.0%
W 1
 
4.0%
B 1
 
4.0%
J 1
 
4.0%
Other values (7) 7
28.0%
Decimal Number
ValueCountFrequency (%)
2 7
53.8%
4 2
 
15.4%
5 1
 
7.7%
6 1
 
7.7%
3 1
 
7.7%
8 1
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
k 1
33.3%
d 1
33.3%
b 1
33.3%
Space Separator
ValueCountFrequency (%)
72
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 825
87.7%
Common 88
 
9.4%
Latin 28
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 36
 
4.4%
리 25
 
3.0%
서 20
 
2.4%
면 19
 
2.3%
시 18
 
2.2%
트 18
 
2.2%
티 17
 
2.1%
이 17
 
2.1%
아 16
 
1.9%
빌 15
 
1.8%
Other values (206) 624
75.6%
Latin
ValueCountFrequency (%)
S 3
 
10.7%
T 2
 
7.1%
U 2
 
7.1%
D 2
 
7.1%
O 2
 
7.1%
E 2
 
7.1%
R 2
 
7.1%
W 1
 
3.6%
B 1
 
3.6%
J 1
 
3.6%
Other values (10) 10
35.7%
Common
ValueCountFrequency (%)
72
81.8%
2 7
 
8.0%
4 2
 
2.3%
5 1
 
1.1%
) 1
 
1.1%
( 1
 
1.1%
- 1
 
1.1%
6 1
 
1.1%
3 1
 
1.1%
8 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 824
87.6%
ASCII 116
 
12.3%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
72
62.1%
2 7
 
6.0%
S 3
 
2.6%
T 2
 
1.7%
U 2
 
1.7%
D 2
 
1.7%
O 2
 
1.7%
4 2
 
1.7%
E 2
 
1.7%
R 2
 
1.7%
Other values (20) 20
 
17.2%
Hangul
ValueCountFrequency (%)
스 36
 
4.4%
리 25
 
3.0%
서 20
 
2.4%
면 19
 
2.3%
시 18
 
2.2%
트 18
 
2.2%
티 17
 
2.1%
이 17
 
2.1%
아 16
 
1.9%
빌 15
 
1.8%
Other values (205) 623
75.6%
None
ValueCountFrequency (%)
㈜ 1
100.0%

공개공지면적
Text

Distinct118
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T01:47:25.146111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length6.4166667
Min length3

Characters and Unicode

Total characters770
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique116 ?
Unique (%)96.7%

Sample

1st row339.99㎡
2nd row198.87㎡
3rd row137.79㎡
4th row610㎡
5th row54.83㎡
ValueCountFrequency (%)
457.89㎡ 2
 
1.7%
62.63㎡ 2
 
1.7%
174.26㎡ 1
 
0.8%
59.87㎡ 1
 
0.8%
339.99㎡ 1
 
0.8%
275.86㎡ 1
 
0.8%
265.92㎡ 1
 
0.8%
131.12㎡ 1
 
0.8%
445.55㎡ 1
 
0.8%
102.39㎡ 1
 
0.8%
Other values (108) 108
90.0%
2023-12-11T01:47:25.625234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 120
15.6%
. 110
14.3%
1 83
10.8%
3 62
8.1%
2 61
7.9%
5 59
7.7%
6 55
7.1%
4 52
6.8%
8 52
6.8%
0 40
 
5.2%
Other values (2) 76
9.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 540
70.1%
Other Symbol 120
 
15.6%
Other Punctuation 110
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 83
15.4%
3 62
11.5%
2 61
11.3%
5 59
10.9%
6 55
10.2%
4 52
9.6%
8 52
9.6%
0 40
7.4%
7 39
7.2%
9 37
6.9%
Other Symbol
ValueCountFrequency (%)
㎡ 120
100.0%
Other Punctuation
ValueCountFrequency (%)
. 110
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 770
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 120
15.6%
. 110
14.3%
1 83
10.8%
3 62
8.1%
2 61
7.9%
5 59
7.7%
6 55
7.1%
4 52
6.8%
8 52
6.8%
0 40
 
5.2%
Other values (2) 76
9.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 650
84.4%
CJK Compat 120
 
15.6%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 120
100.0%
ASCII
ValueCountFrequency (%)
. 110
16.9%
1 83
12.8%
3 62
9.5%
2 61
9.4%
5 59
9.1%
6 55
8.5%
4 52
8.0%
8 52
8.0%
0 40
 
6.2%
7 39
 
6.0%

도로명주소
Text

Distinct119
Distinct (%)100.0%
Missing1
Missing (%)0.8%
Memory size1.1 KiB
2023-12-11T01:47:25.967631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length19.621849
Min length16

Characters and Unicode

Total characters2335
Distinct characters67
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique119 ?
Unique (%)100.0%

Sample

1st row부산광역시 부산진구 신천대로 156
2nd row부산광역시 부산진구 중앙대로 766
3rd row부산광역시 부산진구 황령대로30번길 30
4th row부산광역시 부산진구 시민공원로 30
5th row부산광역시 부산진구 중앙대로 743
ValueCountFrequency (%)
부산광역시 119
25.0%
부산진구 119
25.0%
중앙대로 18
 
3.8%
전포대로 8
 
1.7%
동평로 6
 
1.3%
부전로 6
 
1.3%
30 4
 
0.8%
가야대로 4
 
0.8%
서면로 4
 
0.8%
16 3
 
0.6%
Other values (145) 185
38.9%
2023-12-11T01:47:26.400218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
357
15.3%
부 245
 
10.5%
산 238
 
10.2%
시 123
 
5.3%
광 120
 
5.1%
역 119
 
5.1%
진 119
 
5.1%
구 119
 
5.1%
로 119
 
5.1%
1 74
 
3.2%
Other values (57) 702
30.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1589
68.1%
Decimal Number 382
 
16.4%
Space Separator 357
 
15.3%
Dash Punctuation 6
 
0.3%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 245
15.4%
산 238
15.0%
시 123
7.7%
광 120
7.6%
역 119
7.5%
진 119
7.5%
구 119
7.5%
로 119
7.5%
대 58
 
3.7%
번 42
 
2.6%
Other values (44) 287
18.1%
Decimal Number
ValueCountFrequency (%)
1 74
19.4%
6 47
12.3%
2 42
11.0%
9 41
10.7%
4 35
9.2%
7 33
8.6%
5 31
8.1%
3 30
7.9%
0 25
 
6.5%
8 24
 
6.3%
Space Separator
ValueCountFrequency (%)
357
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
? 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1589
68.1%
Common 746
31.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 245
15.4%
산 238
15.0%
시 123
7.7%
광 120
7.6%
역 119
7.5%
진 119
7.5%
구 119
7.5%
로 119
7.5%
대 58
 
3.7%
번 42
 
2.6%
Other values (44) 287
18.1%
Common
ValueCountFrequency (%)
357
47.9%
1 74
 
9.9%
6 47
 
6.3%
2 42
 
5.6%
9 41
 
5.5%
4 35
 
4.7%
7 33
 
4.4%
5 31
 
4.2%
3 30
 
4.0%
0 25
 
3.4%
Other values (3) 31
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1589
68.1%
ASCII 746
31.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
357
47.9%
1 74
 
9.9%
6 47
 
6.3%
2 42
 
5.6%
9 41
 
5.5%
4 35
 
4.7%
7 33
 
4.4%
5 31
 
4.2%
3 30
 
4.0%
0 25
 
3.4%
Other values (3) 31
 
4.2%
Hangul
ValueCountFrequency (%)
부 245
15.4%
산 238
15.0%
시 123
7.7%
광 120
7.6%
역 119
7.5%
진 119
7.5%
구 119
7.5%
로 119
7.5%
대 58
 
3.7%
번 42
 
2.6%
Other values (44) 287
18.1%

지번주소
Text

UNIQUE 

Distinct120
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T01:47:26.667223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length25
Mean length20.708333
Min length16

Characters and Unicode

Total characters2485
Distinct characters37
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

Unique120 ?
Unique (%)100.0%

Sample

1st row부산광역시 부산진구 부전동 384-7
2nd row부산광역시 부산진구 부전동 91-5
3rd row부산광역시 부산진구 범천동 853-40
4th row부산광역시 부산진구 부암동 666-16
5th row부산광역시 부산진구 부전동 260-1
ValueCountFrequency (%)
부산광역시 120
26.2%
부산진구 119
26.0%
부전동 18
 
3.9%
외 17
 
3.7%
전포동 14
 
3.1%
양정동 11
 
2.4%
범천동 8
 
1.7%
외1필지 5
 
1.1%
외3필지 4
 
0.9%
1 3
 
0.7%
Other values (134) 139
30.3%
2023-12-11T01:47:27.118447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
338
13.6%
부 283
 
11.4%
산 240
 
9.7%
광 120
 
4.8%
역 120
 
4.8%
시 120
 
4.8%
진 120
 
4.8%
구 120
 
4.8%
동 120
 
4.8%
- 109
 
4.4%
Other values (27) 795
32.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1511
60.8%
Decimal Number 527
 
21.2%
Space Separator 338
 
13.6%
Dash Punctuation 109
 
4.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 283
18.7%
산 240
15.9%
광 120
7.9%
역 120
7.9%
시 120
7.9%
진 120
7.9%
구 120
7.9%
동 120
7.9%
전 58
 
3.8%
외 35
 
2.3%
Other values (15) 175
11.6%
Decimal Number
ValueCountFrequency (%)
1 82
15.6%
3 73
13.9%
4 63
12.0%
8 56
10.6%
2 54
10.2%
6 53
10.1%
5 49
9.3%
7 40
7.6%
9 34
6.5%
0 23
 
4.4%
Space Separator
ValueCountFrequency (%)
338
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 109
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1511
60.8%
Common 974
39.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 283
18.7%
산 240
15.9%
광 120
7.9%
역 120
7.9%
시 120
7.9%
진 120
7.9%
구 120
7.9%
동 120
7.9%
전 58
 
3.8%
외 35
 
2.3%
Other values (15) 175
11.6%
Common
ValueCountFrequency (%)
338
34.7%
- 109
 
11.2%
1 82
 
8.4%
3 73
 
7.5%
4 63
 
6.5%
8 56
 
5.7%
2 54
 
5.5%
6 53
 
5.4%
5 49
 
5.0%
7 40
 
4.1%
Other values (2) 57
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1511
60.8%
ASCII 974
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
338
34.7%
- 109
 
11.2%
1 82
 
8.4%
3 73
 
7.5%
4 63
 
6.5%
8 56
 
5.7%
2 54
 
5.5%
6 53
 
5.4%
5 49
 
5.0%
7 40
 
4.1%
Other values (2) 57
 
5.9%
Hangul
ValueCountFrequency (%)
부 283
18.7%
산 240
15.9%
광 120
7.9%
역 120
7.9%
시 120
7.9%
진 120
7.9%
구 120
7.9%
동 120
7.9%
전 58
 
3.8%
외 35
 
2.3%
Other values (15) 175
11.6%

허가일자
Date

Distinct111
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1992-11-11 00:00:00
Maximum2022-03-16 00:00:00
2023-12-11T01:47:27.318642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:47:27.515650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사용승인일자
Date

Distinct119
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1995-11-10 00:00:00
Maximum2023-01-18 00:00:00
2023-12-11T01:47:27.662190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:47:27.813003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

연면적
Text

UNIQUE 

Distinct120
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T01:47:28.165614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length7.95
Min length5

Characters and Unicode

Total characters954
Distinct characters12
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 (%)100.0%

Sample

1st row14706.843
2nd row24977.39
3rd row11245.69
4th row35952.12
5th row12444.53
ValueCountFrequency (%)
14706.843 1
 
0.8%
24977.39 1
 
0.8%
21819.7352 1
 
0.8%
12996.98 1
 
0.8%
28870.7515 1
 
0.8%
15417.44 1
 
0.8%
16581.7759 1
 
0.8%
15398.58 1
 
0.8%
8944.11 1
 
0.8%
14241.83 1
 
0.8%
Other values (110) 110
91.7%
2023-12-11T01:47:28.688515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 119
12.5%
1 105
11.0%
2 97
10.2%
5 96
10.1%
8 87
9.1%
4 85
8.9%
9 83
8.7%
7 79
8.3%
3 77
8.1%
6 69
7.2%
Other values (2) 57
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 834
87.4%
Other Punctuation 120
 
12.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 105
12.6%
2 97
11.6%
5 96
11.5%
8 87
10.4%
4 85
10.2%
9 83
10.0%
7 79
9.5%
3 77
9.2%
6 69
8.3%
0 56
6.7%
Other Punctuation
ValueCountFrequency (%)
. 119
99.2%
, 1
 
0.8%

Most occurring scripts

ValueCountFrequency (%)
Common 954
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 119
12.5%
1 105
11.0%
2 97
10.2%
5 96
10.1%
8 87
9.1%
4 85
8.9%
9 83
8.7%
7 79
8.3%
3 77
8.1%
6 69
7.2%
Other values (2) 57
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 954
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 119
12.5%
1 105
11.0%
2 97
10.2%
5 96
10.1%
8 87
9.1%
4 85
8.9%
9 83
8.7%
7 79
8.3%
3 77
8.1%
6 69
7.2%
Other values (2) 57
6.0%

층수
Text

Distinct68
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T01:47:29.022327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length7.9333333
Min length4

Characters and Unicode

Total characters952
Distinct characters17
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

Unique45 ?
Unique (%)37.5%

Sample

1st row지하3/지상13
2nd row지하6/지상20
3rd row지하3/지상13
4th row지하2/지상15 5동
5th row지하5/지상15
ValueCountFrequency (%)
지하2/지상20 11
 
8.7%
지하1/지상20 10
 
7.9%
지하1/지상15 9
 
7.1%
지하2/지상15 6
 
4.7%
지하3/지상15 3
 
2.4%
지하1/지상19 3
 
2.4%
지하2/지상7 3
 
2.4%
지하2/지상17 2
 
1.6%
3동 2
 
1.6%
5동 2
 
1.6%
Other values (61) 76
59.8%
2023-12-11T01:47:29.532022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 235
24.7%
상 120
12.6%
하 115
12.1%
/ 115
12.1%
2 95
10.0%
1 95
10.0%
5 37
 
3.9%
0 36
 
3.8%
3 27
 
2.8%
8 14
 
1.5%
Other values (7) 63
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 476
50.0%
Decimal Number 352
37.0%
Other Punctuation 117
 
12.3%
Space Separator 7
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 95
27.0%
1 95
27.0%
5 37
 
10.5%
0 36
 
10.2%
3 27
 
7.7%
8 14
 
4.0%
4 14
 
4.0%
9 12
 
3.4%
7 12
 
3.4%
6 10
 
2.8%
Other Letter
ValueCountFrequency (%)
지 235
49.4%
상 120
25.2%
하 115
24.2%
동 6
 
1.3%
Other Punctuation
ValueCountFrequency (%)
/ 115
98.3%
, 2
 
1.7%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 476
50.0%
Common 476
50.0%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 115
24.2%
2 95
20.0%
1 95
20.0%
5 37
 
7.8%
0 36
 
7.6%
3 27
 
5.7%
8 14
 
2.9%
4 14
 
2.9%
9 12
 
2.5%
7 12
 
2.5%
Other values (3) 19
 
4.0%
Hangul
ValueCountFrequency (%)
지 235
49.4%
상 120
25.2%
하 115
24.2%
동 6
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 476
50.0%
ASCII 476
50.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 235
49.4%
상 120
25.2%
하 115
24.2%
동 6
 
1.3%
ASCII
ValueCountFrequency (%)
/ 115
24.2%
2 95
20.0%
1 95
20.0%
5 37
 
7.8%
0 36
 
7.6%
3 27
 
5.7%
8 14
 
2.9%
4 14
 
2.9%
9 12
 
2.5%
7 12
 
2.5%
Other values (3) 19
 
4.0%

용도
Categorical

HIGH CORRELATION 

Distinct30
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
업무시설
44 
공동주택
30 
업무시설,근생
6 
숙박시설
5 
의료시설
 
4
Other values (25)
31 

Length

Max length25
Median length4
Mean length6.0666667
Min length4

Unique

Unique21 ?
Unique (%)17.5%

Sample

1st row업무시설
2nd row업무시설,근생
3rd row업무시설 관람및집회 교육연구 근생
4th row업무시설
5th row업무시설

Common Values

ValueCountFrequency (%)
업무시설 44
36.7%
공동주택 30
25.0%
업무시설,근생 6
 
5.0%
숙박시설 5
 
4.2%
의료시설 4
 
3.3%
공동주택,업무시설,근생 3
 
2.5%
공동주택,업무시설 3
 
2.5%
공동주택,근생 2
 
1.7%
업무시설, 근린생활시설 2
 
1.7%
공동주택,근생,운동시설 1
 
0.8%
Other values (20) 20
16.7%

Length

2023-12-11T01:47:29.725912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
업무시설 54
37.8%
공동주택 34
23.8%
업무시설,근생 6
 
4.2%
숙박시설 5
 
3.5%
근생 5
 
3.5%
판매시설 4
 
2.8%
의료시설 4
 
2.8%
공동주택,업무시설 3
 
2.1%
근린생활시설 3
 
2.1%
공동주택,업무시설,근생 3
 
2.1%
Other values (17) 22
15.4%

공개공지개소
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
82 
2
30 
3
 
5
5
 
2
8
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row1
2nd row1
3rd row1
4th row5
5th row1

Common Values

ValueCountFrequency (%)
1 82
68.3%
2 30
 
25.0%
3 5
 
4.2%
5 2
 
1.7%
8 1
 
0.8%

Length

2023-12-11T01:47:29.877841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:47:30.000896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 82
68.3%
2 30
 
25.0%
3 5
 
4.2%
5 2
 
1.7%
8 1
 
0.8%

공개공지편의시설
Text

MISSING 

Distinct74
Distinct (%)62.7%
Missing2
Missing (%)1.7%
Memory size1.1 KiB
2023-12-11T01:47:30.253463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length10.805085
Min length2

Characters and Unicode

Total characters1275
Distinct characters63
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

Unique55 ?
Unique (%)46.6%

Sample

1st row의자, 표지판
2nd row의자, 조형물, 표지판 1
3rd row의자, 조형물, 표지판 1
4th row의자, 표지판 1
5th row표지판 1
ValueCountFrequency (%)
표지판 56
16.8%
의자 49
14.7%
1 46
13.8%
표지판1 27
 
8.1%
파고라 22
 
6.6%
조명 11
 
3.3%
의자4 10
 
3.0%
조형물 9
 
2.7%
의자2 9
 
2.7%
표지판2 9
 
2.7%
Other values (51) 86
25.7%
2023-12-11T01:47:30.717150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
216
16.9%
, 158
12.4%
자 103
 
8.1%
의 102
 
8.0%
1 97
 
7.6%
표 93
 
7.3%
지 93
 
7.3%
판 93
 
7.3%
조 33
 
2.6%
2 29
 
2.3%
Other values (53) 258
20.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 711
55.8%
Space Separator 216
 
16.9%
Decimal Number 182
 
14.3%
Other Punctuation 158
 
12.4%
Uppercase Letter 8
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 103
14.5%
의 102
14.3%
표 93
13.1%
지 93
13.1%
판 93
13.1%
조 33
 
4.6%
라 27
 
3.8%
파 26
 
3.7%
고 26
 
3.7%
명 15
 
2.1%
Other values (38) 100
14.1%
Decimal Number
ValueCountFrequency (%)
1 97
53.3%
2 29
 
15.9%
3 15
 
8.2%
4 15
 
8.2%
6 10
 
5.5%
5 7
 
3.8%
8 3
 
1.6%
9 3
 
1.6%
0 2
 
1.1%
7 1
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
C 4
50.0%
T 2
25.0%
V 2
25.0%
Space Separator
ValueCountFrequency (%)
216
100.0%
Other Punctuation
ValueCountFrequency (%)
, 158
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 711
55.8%
Common 556
43.6%
Latin 8
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 103
14.5%
의 102
14.3%
표 93
13.1%
지 93
13.1%
판 93
13.1%
조 33
 
4.6%
라 27
 
3.8%
파 26
 
3.7%
고 26
 
3.7%
명 15
 
2.1%
Other values (38) 100
14.1%
Common
ValueCountFrequency (%)
216
38.8%
, 158
28.4%
1 97
17.4%
2 29
 
5.2%
3 15
 
2.7%
4 15
 
2.7%
6 10
 
1.8%
5 7
 
1.3%
8 3
 
0.5%
9 3
 
0.5%
Other values (2) 3
 
0.5%
Latin
ValueCountFrequency (%)
C 4
50.0%
T 2
25.0%
V 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 711
55.8%
ASCII 564
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
216
38.3%
, 158
28.0%
1 97
17.2%
2 29
 
5.1%
3 15
 
2.7%
4 15
 
2.7%
6 10
 
1.8%
5 7
 
1.2%
C 4
 
0.7%
8 3
 
0.5%
Other values (5) 10
 
1.8%
Hangul
ValueCountFrequency (%)
자 103
14.5%
의 102
14.3%
표 93
13.1%
지 93
13.1%
판 93
13.1%
조 33
 
4.6%
라 27
 
3.8%
파 26
 
3.7%
고 26
 
3.7%
명 15
 
2.1%
Other values (38) 100
14.1%

구군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
부산광역시 부산진구
120 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산광역시 부산진구 120
100.0%

Length

2023-12-11T01:47:31.206445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:47:31.320162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 120
50.0%
부산진구 120
50.0%

데이터기준일자
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2022-12-31
118 
2023-07-25
 
2

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-31
2nd row2022-12-31
3rd row2022-12-31
4th row2022-12-31
5th row2022-12-31

Common Values

ValueCountFrequency (%)
2022-12-31 118
98.3%
2023-07-25 2
 
1.7%

Length

2023-12-11T01:47:31.448106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:47:31.559551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-31 118
98.3%
2023-07-25 2
 
1.7%

위도
Real number (ℝ)

Distinct119
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.158161
Minimum35.14177
Maximum35.178038
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T01:47:31.695872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.14177
5-th percentile35.144645
Q135.151133
median35.157226
Q335.163475
95-th percentile35.174885
Maximum35.178038
Range0.0362676
Interquartile range (IQR)0.012342425

Descriptive statistics

Standard deviation0.0093359417
Coefficient of variation (CV)0.00026554124
Kurtosis-0.70016607
Mean35.158161
Median Absolute Deviation (MAD)0.0061111
Skewness0.47814927
Sum4218.9793
Variance8.7159808 × 10-5
MonotonicityNot monotonic
2023-12-11T01:47:31.847812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.17488492 2
 
1.7%
35.15595306 1
 
0.8%
35.1596739 1
 
0.8%
35.1623672 1
 
0.8%
35.1446954 1
 
0.8%
35.1658702 1
 
0.8%
35.1587312 1
 
0.8%
35.1566698 1
 
0.8%
35.1486073 1
 
0.8%
35.1467882 1
 
0.8%
Other values (109) 109
90.8%
ValueCountFrequency (%)
35.1417699 1
0.8%
35.143413 1
0.8%
35.1440028 1
0.8%
35.1441378 1
0.8%
35.1442955 1
0.8%
35.1445757 1
0.8%
35.1446485 1
0.8%
35.1446954 1
0.8%
35.1456886 1
0.8%
35.1461242 1
0.8%
ValueCountFrequency (%)
35.1780375 1
0.8%
35.1774385 1
0.8%
35.1773394 1
0.8%
35.1770942 1
0.8%
35.1758781 1
0.8%
35.17488492 2
1.7%
35.1747406 1
0.8%
35.1739757 1
0.8%
35.1739635 1
0.8%
35.1736605 1
0.8%

경도
Real number (ℝ)

Distinct119
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.05805
Minimum129.01939
Maximum129.07509
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T01:47:31.994322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.01939
5-th percentile129.03897
Q1129.05445
median129.05969
Q3129.0642
95-th percentile129.07066
Maximum129.07509
Range0.0557025
Interquartile range (IQR)0.009749

Descriptive statistics

Standard deviation0.010730828
Coefficient of variation (CV)8.3147298 × 10-5
Kurtosis4.654453
Mean129.05805
Median Absolute Deviation (MAD)0.0046969
Skewness-1.8568702
Sum15486.966
Variance0.00011515067
MonotonicityNot monotonic
2023-12-11T01:47:32.146625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.0682111 2
 
1.7%
129.051566 1
 
0.8%
129.054959 1
 
0.8%
129.054499 1
 
0.8%
129.058224 1
 
0.8%
129.064717 1
 
0.8%
129.061124 1
 
0.8%
129.043427 1
 
0.8%
129.020141 1
 
0.8%
129.060219 1
 
0.8%
Other values (109) 109
90.8%
ValueCountFrequency (%)
129.0193905 1
0.8%
129.020141 1
0.8%
129.020614 1
0.8%
129.022372 1
0.8%
129.022507 1
0.8%
129.024159 1
0.8%
129.039748 1
0.8%
129.043427 1
0.8%
129.0443871 1
0.8%
129.048148 1
0.8%
ValueCountFrequency (%)
129.075093 1
0.8%
129.074639 1
0.8%
129.073945 1
0.8%
129.0731711 1
0.8%
129.0719528 1
0.8%
129.070834 1
0.8%
129.0706522 1
0.8%
129.0703438 1
0.8%
129.06992 1
0.8%
129.0698866 1
0.8%

Interactions

2023-12-11T01:47:23.449596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:47:23.237056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:47:23.546352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:47:23.345394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:47:32.250959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
층수용도공개공지개소공개공지편의시설데이터기준일자위도경도
층수1.0000.9170.9510.8060.0000.4670.000
용도0.9171.0000.8890.0000.7210.5060.752
공개공지개소0.9510.8891.0000.8060.0000.0000.000
공개공지편의시설0.8060.0000.8061.0001.0000.8230.000
데이터기준일자0.0000.7210.0001.0001.0000.5430.154
위도0.4670.5060.0000.8230.5431.0000.632
경도0.0000.7520.0000.0000.1540.6321.000
2023-12-11T01:47:32.372935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
용도공개공지개소데이터기준일자
용도1.0000.5410.511
공개공지개소0.5411.0000.000
데이터기준일자0.5110.0001.000
2023-12-11T01:47:32.486866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도용도공개공지개소데이터기준일자
위도1.0000.2770.1600.0000.404
경도0.2771.0000.3820.0000.113
용도0.1600.3821.0000.5410.511
공개공지개소0.0000.0000.5411.0000.000
데이터기준일자0.4040.1130.5110.0001.000

Missing values

2023-12-11T01:47:23.667927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:47:23.880392image/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.
2023-12-11T01:47:24.007770image/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

건축물명공개공지면적도로명주소지번주소허가일자사용승인일자연면적층수용도공개공지개소공개공지편의시설구군명데이터기준일자위도경도
0도시개발공사339.99㎡부산광역시 부산진구 신천대로 156부산광역시 부산진구 부전동 384-71993-01-081995-11-1014706.843지하3/지상13업무시설1의자, 표지판부산광역시 부산진구2022-12-3135.155953129.051566
1㈜kdb생명보험198.87㎡부산광역시 부산진구 중앙대로 766부산광역시 부산진구 부전동 91-51992-11-111997-01-1124977.39지하6/지상20업무시설,근생1의자, 조형물, 표지판 1부산광역시 부산진구2022-12-3135.160504129.061816
2전문건설회관137.79㎡부산광역시 부산진구 황령대로30번길 30부산광역시 부산진구 범천동 853-401995-03-231998-03-2311245.69지하3/지상13업무시설 관람및집회 교육연구 근생1의자, 조형물, 표지판 1부산광역시 부산진구2022-12-3135.147097129.060358
3부산진구청사610㎡부산광역시 부산진구 시민공원로 30부산광역시 부산진구 부암동 666-161994-12-311998-11-1635952.12지하2/지상15 5동업무시설5의자, 표지판 1부산광역시 부산진구2022-12-3135.162647129.050996
4한국외환은행54.83㎡부산광역시 부산진구 중앙대로 743부산광역시 부산진구 부전동 260-11995-11-281999-06-2112444.53지하5/지상15업무시설1표지판 1부산광역시 부산진구2022-12-3135.159419129.057163
5지오플레이스1234.57㎡부산광역시 부산진구 동천로 4부산광역시 부산진구 전포동 891-38 외1997-03-242000-05-2588666.52지하6/지상8판매및영업문화및집회 위락시설2의자, 조형물, 표지판 1부산광역시 부산진구2022-12-3135.149552129.062663
6디씨티1800.76㎡부산광역시 부산진구 동천로 92부산광역시 부산진구 전포동 668-11996-09-252000-08-3082599.97지하2/지상7판매및영업문화및집회 업무시설 운동시설 근생1의자, 조명, 간이무대, 표지판 1부산광역시 부산진구2022-12-3135.157041129.060835
7대한생명부산사옥460㎡부산광역시 부산진구 중앙대로 659부산광역시 부산진구 부전동 535-51997-01-292001-03-0629807.84지하9/지상19업무시설2의자, 조형물, 표지판 1부산광역시 부산진구2022-12-3135.151544129.056467
8이마트953.67㎡부산광역시 부산진구 시민공원로 31부산광역시 부산진구 부암동 932000-09-062002-03-2244063.89지하2/지상6판매및영업1의자, 파고라, 자전거보관소, 표지판 1부산광역시 부산진구2022-12-3135.163914129.050405
9부산진경찰서188.67㎡부산광역시 부산진구 부전로111번길 6부산광역시 부산진구 부전동 408-42000-02-282002-08-0911491.05지하3/지상8업무시설1파고라, 의자, 표지판 1부산광역시 부산진구2022-12-3135.160195129.052292
건축물명공개공지면적도로명주소지번주소허가일자사용승인일자연면적층수용도공개공지개소공개공지편의시설구군명데이터기준일자위도경도
110세홍 플로린67.11㎡<NA>부산광역시 부산진구 부전동224-28 외 62020-03-302022-06-157218.21지하1/지상16업무시설1의자3부산광역시 부산진구2022-12-3135.153269129.061732
111서면 지원 더 뷰 시티 파크58.63㎡부산광역시 부산진구 시민공원로19번길 36부산광역시 부산진구 부암동80-572019-07-242022-06-164845.7177지하1/지상19업무시설1의자3, 조명등5, 표지판1부산광역시 부산진구2022-12-3135.164812129.051675
112에톤(ETON)32.31㎡부산광역시 부산진구 전포대로162번길 15부산광역시 부산진구 전포동363-132020-12-112022-08-025563.075지하1/지상15업무시설1의자3, 조명등4, CCTV1부산광역시 부산진구2022-12-3135.151142129.066528
113부전동보성오페라47.05㎡부산광역시 부산진구 가야대로765번길 18부산광역시 부산진구 부전동477-32017-10-232022-08-167825.8지하1/지상20업무시설1의자1부산광역시 부산진구2022-12-3135.158611129.055491
114디아너스33.1㎡부산광역시 부산진구 중앙대로 918-2부산광역시 부산진구 양정동352-242020-12-162022-08-196687.85지하1/지상17업무시설1의자2, 조경2부산광역시 부산진구2022-12-3135.171704129.070834
115노블파크42㎡부산광역시 부산진구 거제대로36번가길 41부산광역시 부산진구 양정동387-62019-06-272022-08-304687.93지하1/지상18공동주택1의자4, 조명3, CCTV1, 표지판1부산광역시 부산진구2022-12-3135.17366129.068162
116리즈 더 르씨엘124.85㎡부산광역시 부산진구 부전로 36부산광역시 부산진구 부전동524-42020-06-292022-09-025750.03지하1/지상15공동주택1의자2, 표지판1부산광역시 부산진구2022-12-3135.153533129.056263
117서면아크로32.95㎡부산광역시 부산진구 가야대로755번길 16부산광역시 부산진구 부전동466-292020-12-152022-10-124321.36지하1/지상20업무시설1의자2, 조경1, 표지판1부산광역시 부산진구2022-12-3135.158505129.054293
118국제식품241.99㎡부산광역시 부산진구 거제대로 70부산광역시 부산진구 양정동 321-42020-12-152022-12-2218,679.84지하4/지상11근린생활시설1의자13부산광역시 부산진구2023-07-2535.174885129.068211
119블루펠리스48.31㎡부산광역시 부산진구 서면문화로5번길 36부산광역시 부산진구 부전동 477-82021-04-092023-01-185262.55지하1/지상20업무시설1의자,표지판부산광역시 부산진구2023-07-2535.174885129.068211