Overview

Dataset statistics

Number of variables24
Number of observations48
Missing cells105
Missing cells (%)9.1%
Duplicate rows1
Duplicate rows (%)2.1%
Total size in memory9.6 KiB
Average record size in memory203.8 B

Variable types

Categorical12
Text2
Unsupported2
Numeric7
Boolean1

Alerts

add_daeboo_yn has constant value ""Constant
use_n has constant value ""Constant
admi_n has constant value ""Constant
build_roof_n has constant value ""Constant
last_load_dttm has constant value ""Constant
Dataset has 1 (2.1%) duplicate rowsDuplicates
sub_mana_n is highly imbalanced (66.3%)Imbalance
dis_restrict_yn is highly imbalanced (84.1%)Imbalance
daeboo_day has 48 (100.0%) missing valuesMissing
dis_restrict_yn has 5 (10.4%) missing valuesMissing
section_area has 1 (2.1%) missing valuesMissing
dis_restrict_day has 48 (100.0%) missing valuesMissing
build_day has 3 (6.2%) missing valuesMissing
daeboo_day is an unsupported type, check if it needs cleaning or further analysisUnsupported
dis_restrict_day is an unsupported type, check if it needs cleaning or further analysisUnsupported
section_area has 5 (10.4%) zerosZeros
acq_area has 2 (4.2%) zerosZeros
up_layer_cnt has 3 (6.2%) zerosZeros
und_layer_cnt has 20 (41.7%) zerosZeros

Reproduction

Analysis started2024-04-17 15:41:43.903532
Analysis finished2024-04-17 15:41:44.144533
Duration0.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

add_daeboo_yn
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
미대부
48 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미대부 48
100.0%

Length

2024-04-18T00:41:44.193556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:41:44.267204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미대부 48
100.0%

sub_mana_n
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
45 
부산광역시 창조도시국 도시정비과
 
3

Length

Max length17
Median length4
Mean length4.8125
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> 45
93.8%
부산광역시 창조도시국 도시정비과 3
 
6.2%

Length

2024-04-18T00:41:44.339567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:41:44.412650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
83.3%
부산광역시 3
 
5.6%
창조도시국 3
 
5.6%
도시정비과 3
 
5.6%

build_name
Text

Distinct46
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-04-18T00:41:44.560575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17.5
Mean length11.1875
Min length2

Characters and Unicode

Total characters537
Distinct characters136
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

Unique45 ?
Unique (%)93.8%

Sample

1st row대연1주택재개발 임대주택
2nd row서구 자활후견기관 사무실(활용)
3rd row방수공사 상업용 건물
4th row봉래치안센타
5th row(구) 영선3파출소
ValueCountFrequency (%)
임대아파트 6
 
7.1%
주택 3
 
3.6%
임대주택 3
 
3.6%
주택재개발사업 3
 
3.6%
재개발 2
 
2.4%
다대소각장 2
 
2.4%
서구 2
 
2.4%
구)영주1파출소 1
 
1.2%
수영구 1
 
1.2%
남천동 1
 
1.2%
Other values (60) 60
71.4%
2024-04-18T00:41:44.856476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
 
6.9%
파 17
 
3.2%
대 16
 
3.0%
) 16
 
3.0%
( 16
 
3.0%
구 15
 
2.8%
주 14
 
2.6%
동 13
 
2.4%
센 12
 
2.2%
재 12
 
2.2%
Other values (126) 369
68.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 419
78.0%
Space Separator 37
 
6.9%
Decimal Number 34
 
6.3%
Close Punctuation 16
 
3.0%
Open Punctuation 16
 
3.0%
Other Punctuation 5
 
0.9%
Dash Punctuation 4
 
0.7%
Other Symbol 3
 
0.6%
Lowercase Letter 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 17
 
4.1%
대 16
 
3.8%
구 15
 
3.6%
주 14
 
3.3%
동 13
 
3.1%
센 12
 
2.9%
재 12
 
2.9%
소 12
 
2.9%
치 12
 
2.9%
안 11
 
2.6%
Other values (107) 285
68.0%
Decimal Number
ValueCountFrequency (%)
1 9
26.5%
2 9
26.5%
3 9
26.5%
5 3
 
8.8%
4 2
 
5.9%
8 1
 
2.9%
0 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
; 2
40.0%
, 1
20.0%
& 1
20.0%
# 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
33.3%
m 1
33.3%
p 1
33.3%
Space Separator
ValueCountFrequency (%)
37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Symbol
ValueCountFrequency (%)
� 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 419
78.0%
Common 115
 
21.4%
Latin 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 17
 
4.1%
대 16
 
3.8%
구 15
 
3.6%
주 14
 
3.3%
동 13
 
3.1%
센 12
 
2.9%
재 12
 
2.9%
소 12
 
2.9%
치 12
 
2.9%
안 11
 
2.6%
Other values (107) 285
68.0%
Common
ValueCountFrequency (%)
37
32.2%
) 16
13.9%
( 16
13.9%
1 9
 
7.8%
2 9
 
7.8%
3 9
 
7.8%
- 4
 
3.5%
� 3
 
2.6%
5 3
 
2.6%
4 2
 
1.7%
Other values (6) 7
 
6.1%
Latin
ValueCountFrequency (%)
a 1
33.3%
m 1
33.3%
p 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 419
78.0%
ASCII 115
 
21.4%
Specials 3
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37
32.2%
) 16
13.9%
( 16
13.9%
1 9
 
7.8%
2 9
 
7.8%
3 9
 
7.8%
- 4
 
3.5%
5 3
 
2.6%
4 2
 
1.7%
; 2
 
1.7%
Other values (8) 8
 
7.0%
Hangul
ValueCountFrequency (%)
파 17
 
4.1%
대 16
 
3.8%
구 15
 
3.6%
주 14
 
3.3%
동 13
 
3.1%
센 12
 
2.9%
재 12
 
2.9%
소 12
 
2.9%
치 12
 
2.9%
안 11
 
2.6%
Other values (107) 285
68.0%
Specials
ValueCountFrequency (%)
� 3
100.0%

fulladdr
Text

Distinct46
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-04-18T00:41:45.071385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length23
Mean length21.5
Min length17

Characters and Unicode

Total characters1032
Distinct characters80
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

Unique44 ?
Unique (%)91.7%

Sample

1st row부산광역시 남구 대연동 1865
2nd row부산광역시 서구 동대신동2가 79-106
3rd row부산광역시 동구 수정동 1184-20
4th row부산광역시 영도구 봉래동5가 168-4
5th row부산광역시 영도구 영선동4가 1475-1
ValueCountFrequency (%)
부산광역시 48
24.5%
해운대구 8
 
4.1%
사하구 7
 
3.6%
서구 5
 
2.6%
다대동 4
 
2.0%
남구 4
 
2.0%
수영구 4
 
2.0%
동래구 3
 
1.5%
동구 3
 
1.5%
연제구 3
 
1.5%
Other values (91) 107
54.6%
2024-04-18T00:41:45.395793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
242
23.4%
동 57
 
5.5%
부 55
 
5.3%
산 54
 
5.2%
1 54
 
5.2%
광 49
 
4.7%
역 48
 
4.7%
시 48
 
4.7%
구 48
 
4.7%
- 36
 
3.5%
Other values (70) 341
33.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 541
52.4%
Space Separator 242
23.4%
Decimal Number 213
 
20.6%
Dash Punctuation 36
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 57
 
10.5%
부 55
 
10.2%
산 54
 
10.0%
광 49
 
9.1%
역 48
 
8.9%
시 48
 
8.9%
구 48
 
8.9%
대 17
 
3.1%
사 9
 
1.7%
해 8
 
1.5%
Other values (58) 148
27.4%
Decimal Number
ValueCountFrequency (%)
1 54
25.4%
5 24
11.3%
2 24
11.3%
7 19
 
8.9%
4 18
 
8.5%
3 17
 
8.0%
8 17
 
8.0%
6 14
 
6.6%
0 13
 
6.1%
9 13
 
6.1%
Space Separator
ValueCountFrequency (%)
242
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 541
52.4%
Common 491
47.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 57
 
10.5%
부 55
 
10.2%
산 54
 
10.0%
광 49
 
9.1%
역 48
 
8.9%
시 48
 
8.9%
구 48
 
8.9%
대 17
 
3.1%
사 9
 
1.7%
해 8
 
1.5%
Other values (58) 148
27.4%
Common
ValueCountFrequency (%)
242
49.3%
1 54
 
11.0%
- 36
 
7.3%
5 24
 
4.9%
2 24
 
4.9%
7 19
 
3.9%
4 18
 
3.7%
3 17
 
3.5%
8 17
 
3.5%
6 14
 
2.9%
Other values (2) 26
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 541
52.4%
ASCII 491
47.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
242
49.3%
1 54
 
11.0%
- 36
 
7.3%
5 24
 
4.9%
2 24
 
4.9%
7 19
 
3.9%
4 18
 
3.7%
3 17
 
3.5%
8 17
 
3.5%
6 14
 
2.9%
Other values (2) 26
 
5.3%
Hangul
ValueCountFrequency (%)
동 57
 
10.5%
부 55
 
10.2%
산 54
 
10.0%
광 49
 
9.1%
역 48
 
8.9%
시 48
 
8.9%
구 48
 
8.9%
대 17
 
3.1%
사 9
 
1.7%
해 8
 
1.5%
Other values (58) 148
27.4%

daeboo_day
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

main_mana_n
Categorical

Distinct4
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size516.0 B
부산광역시 기획조정실 재정관 회계재산담당관
35 
부산광역시 도시계획실 도시균형재생국 도시정비과
10 
부산광역시 일자리경제실 관광마이스산업국 관광진흥과
 
2
부산광역시 행정자치국 총무과
 
1

Length

Max length27
Median length23
Mean length23.416667
Min length15

Unique

Unique1 ?
Unique (%)2.1%

Sample

1st row부산광역시 도시계획실 도시균형재생국 도시정비과
2nd row부산광역시 기획조정실 재정관 회계재산담당관
3rd row부산광역시 기획조정실 재정관 회계재산담당관
4th row부산광역시 기획조정실 재정관 회계재산담당관
5th row부산광역시 기획조정실 재정관 회계재산담당관

Common Values

ValueCountFrequency (%)
부산광역시 기획조정실 재정관 회계재산담당관 35
72.9%
부산광역시 도시계획실 도시균형재생국 도시정비과 10
 
20.8%
부산광역시 일자리경제실 관광마이스산업국 관광진흥과 2
 
4.2%
부산광역시 행정자치국 총무과 1
 
2.1%

Length

2024-04-18T00:41:45.503751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:41:45.579705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 48
25.1%
기획조정실 35
18.3%
재정관 35
18.3%
회계재산담당관 35
18.3%
도시계획실 10
 
5.2%
도시균형재생국 10
 
5.2%
도시정비과 10
 
5.2%
일자리경제실 2
 
1.0%
관광마이스산업국 2
 
1.0%
관광진흥과 2
 
1.0%
Other values (2) 2
 
1.0%

area
Real number (ℝ)

Distinct34
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1523.0625
Minimum18
Maximum14901
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-18T00:41:45.669150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile46.4
Q1106.5
median116
Q31000.75
95-th percentile6834.8
Maximum14901
Range14883
Interquartile range (IQR)894.25

Descriptive statistics

Standard deviation3049.9903
Coefficient of variation (CV)2.0025378
Kurtosis8.294599
Mean1523.0625
Median Absolute Deviation (MAD)39
Skewness2.7370838
Sum73107
Variance9302440.7
MonotonicityNot monotonic
2024-04-18T00:41:45.770801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
115 10
20.8%
116 3
 
6.2%
127 2
 
4.2%
77 2
 
4.2%
49 2
 
4.2%
2248 1
 
2.1%
155 1
 
2.1%
237 1
 
2.1%
2356 1
 
2.1%
4216 1
 
2.1%
Other values (24) 24
50.0%
ValueCountFrequency (%)
18 1
2.1%
31 1
2.1%
45 1
2.1%
49 2
4.2%
56 1
2.1%
66 1
2.1%
77 2
4.2%
99 1
2.1%
101 1
2.1%
102 1
2.1%
ValueCountFrequency (%)
14901 1
2.1%
10644 1
2.1%
7245 1
2.1%
6073 1
2.1%
5701 1
2.1%
4560 1
2.1%
4311 1
2.1%
4232 1
2.1%
4216 1
2.1%
2356 1
2.1%

use_n
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
일반재산
48 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반재산 48
100.0%

Length

2024-04-18T00:41:45.867307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:41:45.931783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반재산 48
100.0%

dis_restrict_yn
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)4.7%
Missing5
Missing (%)10.4%
Memory size228.0 B
False
42 
True
 
1
(Missing)
5 
ValueCountFrequency (%)
False 42
87.5%
True 1
 
2.1%
(Missing) 5
 
10.4%
2024-04-18T00:41:45.988884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

section_area
Real number (ℝ)

MISSING  ZEROS 

Distinct40
Distinct (%)85.1%
Missing1
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean715.16128
Minimum0
Maximum7855.98
Zeros5
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-18T00:41:46.067242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q150.55
median77.76
Q3177.215
95-th percentile4392.012
Maximum7855.98
Range7855.98
Interquartile range (IQR)126.665

Descriptive statistics

Standard deviation1655.1314
Coefficient of variation (CV)2.314347
Kurtosis8.1594699
Mean715.16128
Median Absolute Deviation (MAD)38.24
Skewness2.8777144
Sum33612.58
Variance2739459.8
MonotonicityNot monotonic
2024-04-18T00:41:46.169336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0.0 5
 
10.4%
116.0 3
 
6.2%
49.58 2
 
4.2%
162.78 1
 
2.1%
391.06 1
 
2.1%
209.84 1
 
2.1%
50.64 1
 
2.1%
50.54 1
 
2.1%
50.56 1
 
2.1%
45.55 1
 
2.1%
Other values (30) 30
62.5%
ValueCountFrequency (%)
0.0 5
10.4%
18.0 1
 
2.1%
44.01 1
 
2.1%
45.15 1
 
2.1%
45.55 1
 
2.1%
49.58 2
 
4.2%
50.54 1
 
2.1%
50.56 1
 
2.1%
50.64 1
 
2.1%
56.2 1
 
2.1%
ValueCountFrequency (%)
7855.98 1
2.1%
5078.84 1
2.1%
4430.82 1
2.1%
4301.46 1
2.1%
3910.36 1
2.1%
2654.61 1
2.1%
814.45 1
2.1%
760.31 1
2.1%
601.56 1
2.1%
391.06 1
2.1%

acq_part_n
Categorical

Distinct3
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
30 
부산광역시 창조도시국 도시정비과
10 
부산광역시 정책기획실 기획재정관 �
8 

Length

Max length19
Median length4
Mean length9.2083333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
62.5%
부산광역시 창조도시국 도시정비과 10
 
20.8%
부산광역시 정책기획실 기획재정관 � 8
 
16.7%

Length

2024-04-18T00:41:46.284358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:41:46.360938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
32.6%
부산광역시 18
19.6%
창조도시국 10
 
10.9%
도시정비과 10
 
10.9%
정책기획실 8
 
8.7%
기획재정관 8
 
8.7%
� 8
 
8.7%

acq_area
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)72.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1405
Minimum0
Maximum14901
Zeros2
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-18T00:41:46.447207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile27.1
Q167.75
median115
Q3418.75
95-th percentile6704.6
Maximum14901
Range14901
Interquartile range (IQR)351

Descriptive statistics

Standard deviation2987.2878
Coefficient of variation (CV)2.1261835
Kurtosis9.6615715
Mean1405
Median Absolute Deviation (MAD)57.5
Skewness2.955309
Sum67440
Variance8923888.2
MonotonicityNot monotonic
2024-04-18T00:41:46.541896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
115 8
 
16.7%
0 2
 
4.2%
59 2
 
4.2%
77 2
 
4.2%
49 2
 
4.2%
116 2
 
4.2%
56 2
 
4.2%
4232 1
 
2.1%
10644 1
 
2.1%
237 1
 
2.1%
Other values (25) 25
52.1%
ValueCountFrequency (%)
0 2
4.2%
18 1
2.1%
44 1
2.1%
45 1
2.1%
49 2
4.2%
56 2
4.2%
59 2
4.2%
67 1
2.1%
68 1
2.1%
71 1
2.1%
ValueCountFrequency (%)
14901 1
2.1%
10644 1
2.1%
7245 1
2.1%
5701 1
2.1%
4560 1
2.1%
4311 1
2.1%
4232 1
2.1%
4216 1
2.1%
2654 1
2.1%
2356 1
2.1%

build_const_n
Categorical

Distinct6
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size516.0 B
철골콘크리트조
33 
철근콘크리트조
7 
시멘트벽돌조
5 
시멘트블럭조
 
1
기타
 
1

Length

Max length7
Median length7
Mean length6.6875
Min length2

Unique

Unique3 ?
Unique (%)6.2%

Sample

1st row철골콘크리트조
2nd row시멘트벽돌조
3rd row시멘트벽돌조
4th row철근콘크리트조
5th row시멘트블럭조

Common Values

ValueCountFrequency (%)
철골콘크리트조 33
68.8%
철근콘크리트조 7
 
14.6%
시멘트벽돌조 5
 
10.4%
시멘트블럭조 1
 
2.1%
기타 1
 
2.1%
미등록 1
 
2.1%

Length

2024-04-18T00:41:46.636094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:41:46.717632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
철골콘크리트조 33
68.8%
철근콘크리트조 7
 
14.6%
시멘트벽돌조 5
 
10.4%
시멘트블럭조 1
 
2.1%
기타 1
 
2.1%
미등록 1
 
2.1%

up_layer_cnt
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.3541667
Minimum0
Maximum27
Zeros3
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-18T00:41:46.803173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.35
Q12
median2
Q33
95-th percentile24
Maximum27
Range27
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.4562257
Coefficient of variation (CV)1.3926025
Kurtosis2.5831377
Mean5.3541667
Median Absolute Deviation (MAD)1
Skewness2.0099743
Sum257
Variance55.595301
MonotonicityNot monotonic
2024-04-18T00:41:46.884644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2 22
45.8%
3 10
20.8%
1 3
 
6.2%
0 3
 
6.2%
24 2
 
4.2%
6 1
 
2.1%
17 1
 
2.1%
22 1
 
2.1%
12 1
 
2.1%
25 1
 
2.1%
Other values (3) 3
 
6.2%
ValueCountFrequency (%)
0 3
 
6.2%
1 3
 
6.2%
2 22
45.8%
3 10
20.8%
5 1
 
2.1%
6 1
 
2.1%
12 1
 
2.1%
17 1
 
2.1%
18 1
 
2.1%
22 1
 
2.1%
ValueCountFrequency (%)
27 1
 
2.1%
25 1
 
2.1%
24 2
 
4.2%
22 1
 
2.1%
18 1
 
2.1%
17 1
 
2.1%
12 1
 
2.1%
6 1
 
2.1%
5 1
 
2.1%
3 10
20.8%

account_n
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
일반회계
38 
도시및주거환경정비기금
10 

Length

Max length11
Median length4
Mean length5.4583333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row도시및주거환경정비기금
2nd row일반회계
3rd row일반회계
4th row일반회계
5th row일반회계

Common Values

ValueCountFrequency (%)
일반회계 38
79.2%
도시및주거환경정비기금 10
 
20.8%

Length

2024-04-18T00:41:46.980007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:41:47.054482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반회계 38
79.2%
도시및주거환경정비기금 10
 
20.8%

admi_n
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
미등록
48 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미등록 48
100.0%

Length

2024-04-18T00:41:47.127412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:41:47.193930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미등록 48
100.0%

dis_restrict_day
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

build_use_n
Categorical

Distinct8
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size516.0 B
공동주택
12 
공공용시설
11 
업무시설
10 
기타
5 
제1종 근린생활시설
5 
Other values (3)
5 

Length

Max length10
Median length4
Mean length4.7708333
Min length2

Unique

Unique2 ?
Unique (%)4.2%

Sample

1st row공동주택
2nd row공공용시설
3rd row기타
4th row공공용시설
5th row업무시설

Common Values

ValueCountFrequency (%)
공동주택 12
25.0%
공공용시설 11
22.9%
업무시설 10
20.8%
기타 5
10.4%
제1종 근린생활시설 5
10.4%
단독주택 3
 
6.2%
운동시설 1
 
2.1%
제2종 근린생활시설 1
 
2.1%

Length

2024-04-18T00:41:47.276983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:41:47.370161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공동주택 12
22.2%
공공용시설 11
20.4%
업무시설 10
18.5%
근린생활시설 6
11.1%
기타 5
9.3%
제1종 5
9.3%
단독주택 3
 
5.6%
운동시설 1
 
1.9%
제2종 1
 
1.9%

acq_way_n
Categorical

Distinct6
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size516.0 B
매입
32 
기타증가
8 
신축
4 
교환취득
 
2
무상귀속
 
1

Length

Max length6
Median length2
Mean length2.5416667
Min length2

Unique

Unique2 ?
Unique (%)4.2%

Sample

1st row신축
2nd row매입
3rd row매입
4th row매입
5th row교환취득

Common Values

ValueCountFrequency (%)
매입 32
66.7%
기타증가 8
 
16.7%
신축 4
 
8.3%
교환취득 2
 
4.2%
무상귀속 1
 
2.1%
누락재산등록 1
 
2.1%

Length

2024-04-18T00:41:47.475364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:41:47.563303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
매입 32
66.7%
기타증가 8
 
16.7%
신축 4
 
8.3%
교환취득 2
 
4.2%
무상귀속 1
 
2.1%
누락재산등록 1
 
2.1%

acq_day
Real number (ℝ)

Distinct41
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19921397
Minimum19580807
Maximum20151215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-18T00:41:47.647837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19580807
5-th percentile19761287
Q119801094
median19880714
Q320021014
95-th percentile20150315
Maximum20151215
Range570408
Interquartile range (IQR)219920.5

Descriptive statistics

Standard deviation151490.57
Coefficient of variation (CV)0.0076044149
Kurtosis-0.58541528
Mean19921397
Median Absolute Deviation (MAD)79799.5
Skewness0.051111758
Sum9.5622707 × 108
Variance2.2949393 × 1010
MonotonicityNot monotonic
2024-04-18T00:41:47.750820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
20021014 2
 
4.2%
19880714 2
 
4.2%
19801006 2
 
4.2%
20150101 2
 
4.2%
20021016 2
 
4.2%
19580807 2
 
4.2%
19950830 2
 
4.2%
19811013 1
 
2.1%
19801218 1
 
2.1%
19800909 1
 
2.1%
Other values (31) 31
64.6%
ValueCountFrequency (%)
19580807 2
4.2%
19740225 1
2.1%
19800401 1
2.1%
19800909 1
2.1%
19800920 1
2.1%
19800930 1
2.1%
19801001 1
2.1%
19801006 2
4.2%
19801007 1
2.1%
19801013 1
2.1%
ValueCountFrequency (%)
20151215 1
2.1%
20151202 1
2.1%
20150430 1
2.1%
20150101 2
4.2%
20141114 1
2.1%
20141028 1
2.1%
20140521 1
2.1%
20140103 1
2.1%
20140101 1
2.1%
20021016 2
4.2%

build_roof_n
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
슬라브
48 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
슬라브 48
100.0%

Length

2024-04-18T00:41:47.870816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:41:48.150099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
슬라브 48
100.0%

und_layer_cnt
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.75
Minimum0
Maximum26
Zeros20
Zeros (%)41.7%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-18T00:41:48.209548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31.25
95-th percentile3.65
Maximum26
Range26
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation4.3098107
Coefficient of variation (CV)2.462749
Kurtosis23.93552
Mean1.75
Median Absolute Deviation (MAD)1
Skewness4.7312649
Sum84
Variance18.574468
MonotonicityNot monotonic
2024-04-18T00:41:48.289997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 20
41.7%
1 16
33.3%
2 5
 
10.4%
3 4
 
8.3%
4 1
 
2.1%
26 1
 
2.1%
16 1
 
2.1%
ValueCountFrequency (%)
0 20
41.7%
1 16
33.3%
2 5
 
10.4%
3 4
 
8.3%
4 1
 
2.1%
16 1
 
2.1%
26 1
 
2.1%
ValueCountFrequency (%)
26 1
 
2.1%
16 1
 
2.1%
4 1
 
2.1%
3 4
 
8.3%
2 5
 
10.4%
1 16
33.3%
0 20
41.7%

build_day
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)93.3%
Missing3
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean19874728
Minimum19580807
Maximum20151215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-18T00:41:48.378433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19580807
5-th percentile19732705
Q119800929
median19810622
Q319920129
95-th percentile20148326
Maximum20151215
Range570408
Interquartile range (IQR)119200

Descriptive statistics

Standard deviation144646.41
Coefficient of variation (CV)0.0072779062
Kurtosis0.16885031
Mean19874728
Median Absolute Deviation (MAD)39908
Skewness0.69043403
Sum8.9436277 × 108
Variance2.0922583 × 1010
MonotonicityNot monotonic
2024-04-18T00:41:48.478295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
19801006 2
 
4.2%
19580807 2
 
4.2%
19880721 2
 
4.2%
19911220 1
 
2.1%
19880507 1
 
2.1%
19800929 1
 
2.1%
19800930 1
 
2.1%
19800920 1
 
2.1%
19811013 1
 
2.1%
19801218 1
 
2.1%
Other values (32) 32
66.7%
(Missing) 3
 
6.2%
ValueCountFrequency (%)
19580807 2
4.2%
19730825 1
2.1%
19740225 1
2.1%
19771116 1
2.1%
19790625 1
2.1%
19791017 1
2.1%
19791124 1
2.1%
19800527 1
2.1%
19800822 1
2.1%
19800920 1
2.1%
ValueCountFrequency (%)
20151215 1
2.1%
20151202 1
2.1%
20150306 1
2.1%
20140405 1
2.1%
20140329 1
2.1%
20140214 1
2.1%
20130724 1
2.1%
20120626 1
2.1%
19980205 1
2.1%
19950830 1
2.1%

last_load_dttm
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
2021-01-05 11:15:29
48 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-01-05 11:15:29
2nd row2021-01-05 11:15:29
3rd row2021-01-05 11:15:29
4th row2021-01-05 11:15:29
5th row2021-01-05 11:15:29

Common Values

ValueCountFrequency (%)
2021-01-05 11:15:29 48
100.0%

Length

2024-04-18T00:41:48.570786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:41:48.635916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-01-05 48
50.0%
11:15:29 48
50.0%

Sample

add_daeboo_ynsub_mana_nbuild_namefulladdrdaeboo_daymain_mana_nareause_ndis_restrict_ynsection_areaacq_part_nacq_areabuild_const_nup_layer_cntaccount_nadmi_ndis_restrict_daybuild_use_nacq_way_nacq_daybuild_roof_nund_layer_cntbuild_daylast_load_dttm
0미대부<NA>대연1주택재개발 임대주택부산광역시 남구 대연동 1865<NA>부산광역시 도시계획실 도시균형재생국 도시정비과4232일반재산N162.78부산광역시 창조도시국 도시정비과4232철골콘크리트조24도시및주거환경정비기금미등록<NA>공동주택신축20151202슬라브2201512022021-01-05 11:15:29
1미대부<NA>서구 자활후견기관 사무실(활용)부산광역시 서구 동대신동2가 79-106<NA>부산광역시 기획조정실 재정관 회계재산담당관115일반재산N59.24<NA>59시멘트벽돌조2일반회계미등록<NA>공공용시설매입20000608슬라브0198106222021-01-05 11:15:29
2미대부<NA>방수공사 상업용 건물부산광역시 동구 수정동 1184-20<NA>부산광역시 기획조정실 재정관 회계재산담당관66일반재산N66.87<NA>67시멘트벽돌조2일반회계미등록<NA>기타매입19740225슬라브0197402252021-01-05 11:15:29
3미대부<NA>봉래치안센타부산광역시 영도구 봉래동5가 168-4<NA>부산광역시 기획조정실 재정관 회계재산담당관115일반재산N115.84<NA>115철근콘크리트조3일반회계미등록<NA>공공용시설매입19801006슬라브1198010062021-01-05 11:15:29
4미대부<NA>(구) 영선3파출소부산광역시 영도구 영선동4가 1475-1<NA>부산광역시 기획조정실 재정관 회계재산담당관108일반재산N108.54<NA>108시멘트블럭조2일반회계미등록<NA>업무시설교환취득19991223슬라브1198008222021-01-05 11:15:29
5미대부<NA>범전동주민센타부산광역시 부산진구 범전동 329-15<NA>부산광역시 기획조정실 재정관 회계재산담당관601일반재산N601.56<NA>287철골콘크리트조2일반회계미등록<NA>공공용시설매입19861029슬라브1198610292021-01-05 11:15:29
6미대부<NA>주택부산광역시 부산진구 전포동 11-15<NA>부산광역시 기획조정실 재정관 회계재산담당관77일반재산N77.34<NA>77철골콘크리트조1일반회계미등록<NA>단독주택무상귀속19841203슬라브0198412032021-01-05 11:15:29
7미대부<NA>삼익아파트 5동점포(가10호)부산광역시 동래구 사직동 16-1<NA>부산광역시 기획조정실 재정관 회계재산담당관31일반재산N44.01<NA>44철골콘크리트조0일반회계미등록<NA>제1종 근린생활시설매입19850912슬라브2197906252021-01-05 11:15:29
8미대부<NA>관사(소방본부장)-새동래아파트 나동부산광역시 동래구 수안동 6-1<NA>부산광역시 기획조정실 재정관 회계재산담당관77일반재산N77.76<NA>77철골콘크리트조0일반회계미등록<NA>공동주택매입19800401슬라브0197911242021-01-05 11:15:29
9미대부<NA>남구 &amp;#52453;년연합회 사용부산광역시 남구 감만동 17-9<NA>부산광역시 기획조정실 재정관 회계재산담당관116일반재산N116.0<NA>116철골콘크리트조2일반회계미등록<NA>공공용시설매입19810203슬라브0198102032021-01-05 11:15:29
add_daeboo_ynsub_mana_nbuild_namefulladdrdaeboo_daymain_mana_nareause_ndis_restrict_ynsection_areaacq_part_nacq_areabuild_const_nup_layer_cntaccount_nadmi_ndis_restrict_daybuild_use_nacq_way_nacq_daybuild_roof_nund_layer_cntbuild_daylast_load_dttm
38미대부<NA>우동1구역 주택재개발사업 임대주택부산광역시 해운대구 우동 1108-56<NA>부산광역시 도시계획실 도시균형재생국 도시정비과4216일반재산N191.65부산광역시 창조도시국 도시정비과4216철근콘크리트조22도시및주거환경정비기금미등록<NA>공동주택신축20150101슬라브3<NA>2021-01-05 11:15:29
39미대부<NA>명륜3구역 주택재개발사업부산광역시 동래구 복천동 561<NA>부산광역시 도시계획실 도시균형재생국 도시정비과10644일반재산<NA>760.31부산광역시 창조도시국 도시정비과10644철골콘크리트조12도시및주거환경정비기금미등록<NA>공동주택매입20151215슬라브2201512152021-01-05 11:15:29
40미대부<NA>서대신3재개발 임대아파트부산광역시 서구 서대신동3가 752<NA>부산광역시 도시계획실 도시균형재생국 도시정비과2248일반재산<NA>3910.36부산광역시 창조도시국 도시정비과2248철근콘크리트조24도시및주거환경정비기금미등록<NA>공동주택매입20140521슬라브2201402142021-01-05 11:15:29
41미대부<NA>금곡2재개발 임대아파트부산광역시 북구 금곡동 1915<NA>부산광역시 도시계획실 도시균형재생국 도시정비과4560일반재산N4430.82부산광역시 창조도시국 도시정비과4560철골콘크리트조25도시및주거환경정비기금미등록<NA>공동주택매입20141114슬라브3201403292021-01-05 11:15:29
42미대부부산광역시 창조도시국 도시정비과민락1재개발 임대아파트부산광역시 수영구 민락동 765<NA>부산광역시 도시계획실 도시균형재생국 도시정비과7245일반재산<NA>7855.98부산광역시 창조도시국 도시정비과7245철근콘크리트조27도시및주거환경정비기금미등록<NA>공동주택매입20150430슬라브4201503062021-01-05 11:15:29
43미대부부산광역시 창조도시국 도시정비과중동3재개발 임대아파트부산광역시 해운대구 중동 1793<NA>부산광역시 도시계획실 도시균형재생국 도시정비과5701일반재산<NA>5078.84부산광역시 창조도시국 도시정비과5701철골콘크리트조18도시및주거환경정비기금미등록<NA>공동주택매입20141028슬라브3201404052021-01-05 11:15:29
44미대부<NA>당리1 재개발 임대아파트부산광역시 사하구 당리동 572<NA>부산광역시 도시계획실 도시균형재생국 도시정비과4311일반재산N4301.46부산광역시 창조도시국 도시정비과4311철골콘크리트조5도시및주거환경정비기금미등록<NA>공동주택매입20140101슬라브26201307242021-01-05 11:15:29
45미대부부산광역시 창조도시국 도시정비과장전1-2구역 재개발 임대아파트부산광역시 금정구 장전동 227<NA>부산광역시 도시계획실 도시균형재생국 도시정비과14901일반재산<NA><NA>부산광역시 창조도시국 도시정비과14901미등록3도시및주거환경정비기금미등록<NA>공동주택신축20140103슬라브16201206262021-01-05 11:15:29
46미대부<NA>수영구 남천동 삼익비치아파트(시민�부산광역시 수영구 남천동 148-4 삼익비치 211동 713호<NA>부산광역시 행정자치국 총무과99일반재산N0.0<NA>99철골콘크리트조0일반회계미등록<NA>공동주택매입19801121슬라브0198005272021-01-05 11:15:29
47미대부<NA>고엽제사무실(1층), 재해구호물품창고부산광역시 서구 충무동2가 30-2<NA>부산광역시 기획조정실 재정관 회계재산담당관56일반재산N56.2<NA>56철골콘크리트조2일반회계미등록<NA>공공용시설교환취득20020112슬라브1197308252021-01-05 11:15:29

Duplicate rows

Most frequently occurring

add_daeboo_ynsub_mana_nbuild_namefulladdrmain_mana_nareause_ndis_restrict_ynsection_areaacq_part_nacq_areabuild_const_nup_layer_cntaccount_nadmi_nbuild_use_nacq_way_nacq_daybuild_roof_nund_layer_cntbuild_daylast_load_dttm# duplicates
0미대부<NA>주택부산광역시 사하구 다대동 3부산광역시 기획조정실 재정관 회계재산담당관49일반재산N49.58<NA>49철골콘크리트조2일반회계미등록단독주택매입19580807슬라브0195808072021-01-05 11:15:292