Overview

Dataset statistics

Number of variables24
Number of observations47
Missing cells103
Missing cells (%)9.1%
Duplicate rows1
Duplicate rows (%)2.1%
Total size in memory9.4 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 (65.8%)Imbalance
dis_restrict_yn is highly imbalanced (83.8%)Imbalance
daeboo_day has 47 (100.0%) missing valuesMissing
dis_restrict_yn has 5 (10.6%) missing valuesMissing
section_area has 1 (2.1%) missing valuesMissing
dis_restrict_day has 47 (100.0%) missing valuesMissing
build_day has 3 (6.4%) 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 (10.6%) zerosZeros
acq_area has 2 (4.3%) zerosZeros
up_layer_cnt has 3 (6.4%) zerosZeros
und_layer_cnt has 19 (40.4%) zerosZeros

Reproduction

Analysis started2024-04-17 15:43:37.081426
Analysis finished2024-04-17 15:43:37.350076
Duration0.27 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 size508.0 B
미대부
47 

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 47
100.0%

Length

2024-04-18T00:43:37.398661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:43:37.472174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미대부 47
100.0%

sub_mana_n
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
44 
부산광역시 창조도시국 도시정비과
 
3

Length

Max length17
Median length4
Mean length4.8297872
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> 44
93.6%
부산광역시 창조도시국 도시정비과 3
 
6.4%

Length

2024-04-18T00:43:37.555024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:43:37.627871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
83.0%
부산광역시 3
 
5.7%
창조도시국 3
 
5.7%
도시정비과 3
 
5.7%

build_name
Text

Distinct45
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-04-18T00:43:37.793736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length10.978723
Min length2

Characters and Unicode

Total characters516
Distinct characters135
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

Unique44 ?
Unique (%)93.6%

Sample

1st row서구 자활후견기관 사무실(활용)
2nd row방수공사 상업용 건물
3rd row봉래치안센타
4th row(구) 영선3파출소
5th row범전동주민센타
ValueCountFrequency (%)
임대아파트 6
 
7.3%
주택 3
 
3.7%
주택재개발사업 3
 
3.7%
임대주택 3
 
3.7%
재개발 2
 
2.4%
서구 2
 
2.4%
다대소각장 2
 
2.4%
고엽제사무실(1층 1
 
1.2%
괘법치안센터 1
 
1.2%
구)영주1파출소 1
 
1.2%
Other values (58) 58
70.7%
2024-04-18T00:43:38.118115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
 
7.0%
대 16
 
3.1%
파 16
 
3.1%
( 15
 
2.9%
) 15
 
2.9%
주 14
 
2.7%
구 14
 
2.7%
치 12
 
2.3%
센 12
 
2.3%
동 12
 
2.3%
Other values (125) 354
68.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 405
78.5%
Space Separator 36
 
7.0%
Decimal Number 32
 
6.2%
Open Punctuation 15
 
2.9%
Close Punctuation 15
 
2.9%
Other Punctuation 5
 
1.0%
Dash Punctuation 3
 
0.6%
Lowercase Letter 3
 
0.6%
Other Symbol 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 16
 
4.0%
파 16
 
4.0%
주 14
 
3.5%
구 14
 
3.5%
치 12
 
3.0%
센 12
 
3.0%
동 12
 
3.0%
재 12
 
3.0%
안 11
 
2.7%
사 11
 
2.7%
Other values (106) 275
67.9%
Decimal Number
ValueCountFrequency (%)
2 9
28.1%
1 9
28.1%
3 7
21.9%
5 3
 
9.4%
4 2
 
6.2%
8 1
 
3.1%
0 1
 
3.1%
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 (%)
36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Symbol
ValueCountFrequency (%)
� 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 405
78.5%
Common 108
 
20.9%
Latin 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 16
 
4.0%
파 16
 
4.0%
주 14
 
3.5%
구 14
 
3.5%
치 12
 
3.0%
센 12
 
3.0%
동 12
 
3.0%
재 12
 
3.0%
안 11
 
2.7%
사 11
 
2.7%
Other values (106) 275
67.9%
Common
ValueCountFrequency (%)
36
33.3%
( 15
13.9%
) 15
13.9%
2 9
 
8.3%
1 9
 
8.3%
3 7
 
6.5%
- 3
 
2.8%
5 3
 
2.8%
� 2
 
1.9%
; 2
 
1.9%
Other values (6) 7
 
6.5%
Latin
ValueCountFrequency (%)
a 1
33.3%
m 1
33.3%
p 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 405
78.5%
ASCII 109
 
21.1%
Specials 2
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
33.0%
( 15
13.8%
) 15
13.8%
2 9
 
8.3%
1 9
 
8.3%
3 7
 
6.4%
- 3
 
2.8%
5 3
 
2.8%
; 2
 
1.8%
4 2
 
1.8%
Other values (8) 8
 
7.3%
Hangul
ValueCountFrequency (%)
대 16
 
4.0%
파 16
 
4.0%
주 14
 
3.5%
구 14
 
3.5%
치 12
 
3.0%
센 12
 
3.0%
동 12
 
3.0%
재 12
 
3.0%
안 11
 
2.7%
사 11
 
2.7%
Other values (106) 275
67.9%
Specials
ValueCountFrequency (%)
� 2
100.0%

fulladdr
Text

Distinct45
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-04-18T00:43:38.337725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length23
Mean length21.468085
Min length17

Characters and Unicode

Total characters1009
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

Unique43 ?
Unique (%)91.5%

Sample

1st row부산광역시 서구 동대신동2가 79-106
2nd row부산광역시 동구 수정동 1184-20
3rd row부산광역시 영도구 봉래동5가 168-4
4th row부산광역시 영도구 영선동4가 1475-1
5th row부산광역시 부산진구 범전동 329-15
ValueCountFrequency (%)
부산광역시 47
24.5%
해운대구 8
 
4.2%
사하구 7
 
3.6%
서구 5
 
2.6%
남구 4
 
2.1%
다대동 4
 
2.1%
수영구 4
 
2.1%
동구 3
 
1.6%
부산진구 3
 
1.6%
영도구 3
 
1.6%
Other values (90) 104
54.2%
2024-04-18T00:43:38.688127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
237
23.5%
동 56
 
5.6%
부 54
 
5.4%
1 52
 
5.2%
산 52
 
5.2%
광 48
 
4.8%
시 47
 
4.7%
구 47
 
4.7%
역 47
 
4.7%
- 35
 
3.5%
Other values (70) 334
33.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 530
52.5%
Space Separator 237
23.5%
Decimal Number 207
 
20.5%
Dash Punctuation 35
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 56
 
10.6%
부 54
 
10.2%
산 52
 
9.8%
광 48
 
9.1%
시 47
 
8.9%
구 47
 
8.9%
역 47
 
8.9%
대 17
 
3.2%
사 9
 
1.7%
영 8
 
1.5%
Other values (58) 145
27.4%
Decimal Number
ValueCountFrequency (%)
1 52
25.1%
5 24
11.6%
2 23
11.1%
4 18
 
8.7%
7 18
 
8.7%
3 17
 
8.2%
8 16
 
7.7%
6 14
 
6.8%
0 13
 
6.3%
9 12
 
5.8%
Space Separator
ValueCountFrequency (%)
237
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 530
52.5%
Common 479
47.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 56
 
10.6%
부 54
 
10.2%
산 52
 
9.8%
광 48
 
9.1%
시 47
 
8.9%
구 47
 
8.9%
역 47
 
8.9%
대 17
 
3.2%
사 9
 
1.7%
영 8
 
1.5%
Other values (58) 145
27.4%
Common
ValueCountFrequency (%)
237
49.5%
1 52
 
10.9%
- 35
 
7.3%
5 24
 
5.0%
2 23
 
4.8%
4 18
 
3.8%
7 18
 
3.8%
3 17
 
3.5%
8 16
 
3.3%
6 14
 
2.9%
Other values (2) 25
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 530
52.5%
ASCII 479
47.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
237
49.5%
1 52
 
10.9%
- 35
 
7.3%
5 24
 
5.0%
2 23
 
4.8%
4 18
 
3.8%
7 18
 
3.8%
3 17
 
3.5%
8 16
 
3.3%
6 14
 
2.9%
Other values (2) 25
 
5.2%
Hangul
ValueCountFrequency (%)
동 56
 
10.6%
부 54
 
10.2%
산 52
 
9.8%
광 48
 
9.1%
시 47
 
8.9%
구 47
 
8.9%
역 47
 
8.9%
대 17
 
3.2%
사 9
 
1.7%
영 8
 
1.5%
Other values (58) 145
27.4%

daeboo_day
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

main_mana_n
Categorical

Distinct4
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size508.0 B
부산광역시 기획조정실 재정관 회계재산담당관
34 
부산광역시 도시계획실 도시균형재생국 도시정비과
10 
부산광역시 일자리경제실 관광마이스산업국 관광진흥과
 
2
부산광역시 행정자치국 총무과
 
1

Length

Max length27
Median length23
Mean length23.425532
Min length15

Unique

Unique1 ?
Unique (%)2.1%

Sample

1st row부산광역시 기획조정실 재정관 회계재산담당관
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 34
72.3%
부산광역시 도시계획실 도시균형재생국 도시정비과 10
 
21.3%
부산광역시 일자리경제실 관광마이스산업국 관광진흥과 2
 
4.3%
부산광역시 행정자치국 총무과 1
 
2.1%

Length

2024-04-18T00:43:38.799011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:43:38.878318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 47
25.1%
기획조정실 34
18.2%
재정관 34
18.2%
회계재산담당관 34
18.2%
도시계획실 10
 
5.3%
도시균형재생국 10
 
5.3%
도시정비과 10
 
5.3%
일자리경제실 2
 
1.1%
관광마이스산업국 2
 
1.1%
관광진흥과 2
 
1.1%
Other values (2) 2
 
1.1%

area
Real number (ℝ)

Distinct33
Distinct (%)70.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1552.2766
Minimum18
Maximum14901
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-04-18T00:43:38.968984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile46.2
Q1105
median116
Q31400.5
95-th percentile6893.4
Maximum14901
Range14883
Interquartile range (IQR)1295.5

Descriptive statistics

Standard deviation3076.1682
Coefficient of variation (CV)1.981714
Kurtosis8.063223
Mean1552.2766
Median Absolute Deviation (MAD)39
Skewness2.7005805
Sum72957
Variance9462810.9
MonotonicityNot monotonic
2024-04-18T00:43:39.063797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
115 10
21.3%
116 3
 
6.4%
127 2
 
4.3%
77 2
 
4.3%
49 2
 
4.3%
10644 1
 
2.1%
155 1
 
2.1%
237 1
 
2.1%
2356 1
 
2.1%
4216 1
 
2.1%
Other values (23) 23
48.9%
ValueCountFrequency (%)
18 1
2.1%
31 1
2.1%
45 1
2.1%
49 2
4.3%
56 1
2.1%
66 1
2.1%
77 2
4.3%
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 size508.0 B
일반재산
47 

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 47
100.0%

Length

2024-04-18T00:43:39.156517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:43:39.221646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반재산 47
100.0%

dis_restrict_yn
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)4.8%
Missing5
Missing (%)10.6%
Memory size226.0 B
False
41 
True
 
1
(Missing)
5 
ValueCountFrequency (%)
False 41
87.2%
True 1
 
2.1%
(Missing) 5
 
10.6%
2024-04-18T00:43:39.282361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

section_area
Real number (ℝ)

MISSING  ZEROS 

Distinct39
Distinct (%)84.8%
Missing1
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean727.4313
Minimum0
Maximum7855.98
Zeros5
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-04-18T00:43:39.365719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q150.545
median77.55
Q3184.4325
95-th percentile4398.48
Maximum7855.98
Range7855.98
Interquartile range (IQR)133.8875

Descriptive statistics

Standard deviation1671.258
Coefficient of variation (CV)2.2974789
Kurtosis7.9059202
Mean727.4313
Median Absolute Deviation (MAD)38.445
Skewness2.8379579
Sum33461.84
Variance2793103.5
MonotonicityNot monotonic
2024-04-18T00:43:39.472248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0.0 5
 
10.6%
116.0 3
 
6.4%
49.58 2
 
4.3%
391.06 1
 
2.1%
56.2 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 (29) 29
61.7%
ValueCountFrequency (%)
0.0 5
10.6%
18.0 1
 
2.1%
44.01 1
 
2.1%
45.15 1
 
2.1%
45.55 1
 
2.1%
49.58 2
 
4.3%
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 (%)6.4%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
29 
부산광역시 창조도시국 도시정비과
10 
부산광역시 정책기획실 기획재정관 �
8 

Length

Max length19
Median length4
Mean length9.3191489
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> 29
61.7%
부산광역시 창조도시국 도시정비과 10
 
21.3%
부산광역시 정책기획실 기획재정관 � 8
 
17.0%

Length

2024-04-18T00:43:39.585002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:43:39.683229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
31.9%
부산광역시 18
19.8%
창조도시국 10
 
11.0%
도시정비과 10
 
11.0%
정책기획실 8
 
8.8%
기획재정관 8
 
8.8%
� 8
 
8.8%

acq_area
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)72.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1431.7021
Minimum0
Maximum14901
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-04-18T00:43:39.770231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25.8
Q167.5
median115
Q3550.5
95-th percentile6781.8
Maximum14901
Range14901
Interquartile range (IQR)483

Descriptive statistics

Standard deviation3013.7879
Coefficient of variation (CV)2.1050384
Kurtosis9.4016404
Mean1431.7021
Median Absolute Deviation (MAD)59
Skewness2.9172009
Sum67290
Variance9082917.6
MonotonicityNot monotonic
2024-04-18T00:43:40.084942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
115 8
 
17.0%
59 2
 
4.3%
116 2
 
4.3%
0 2
 
4.3%
49 2
 
4.3%
56 2
 
4.3%
77 2
 
4.3%
4311 1
 
2.1%
5701 1
 
2.1%
7245 1
 
2.1%
Other values (24) 24
51.1%
ValueCountFrequency (%)
0 2
4.3%
18 1
2.1%
44 1
2.1%
45 1
2.1%
49 2
4.3%
56 2
4.3%
59 2
4.3%
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 (%)12.8%
Missing0
Missing (%)0.0%
Memory size508.0 B
철골콘크리트조
32 
철근콘크리트조
7 
시멘트벽돌조
5 
시멘트블럭조
 
1
기타
 
1

Length

Max length7
Median length7
Mean length6.6808511
Min length2

Unique

Unique3 ?
Unique (%)6.4%

Sample

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

Common Values

ValueCountFrequency (%)
철골콘크리트조 32
68.1%
철근콘크리트조 7
 
14.9%
시멘트벽돌조 5
 
10.6%
시멘트블럭조 1
 
2.1%
기타 1
 
2.1%
미등록 1
 
2.1%

Length

2024-04-18T00:43:40.181597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:43:40.258070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
철골콘크리트조 32
68.1%
철근콘크리트조 7
 
14.9%
시멘트벽돌조 5
 
10.6%
시멘트블럭조 1
 
2.1%
기타 1
 
2.1%
미등록 1
 
2.1%

up_layer_cnt
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)27.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4042553
Minimum0
Maximum27
Zeros3
Zeros (%)6.4%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-04-18T00:43:40.339278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3
Q12
median2
Q33
95-th percentile24
Maximum27
Range27
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.5286686
Coefficient of variation (CV)1.3931001
Kurtosis2.4379564
Mean5.4042553
Median Absolute Deviation (MAD)1
Skewness1.9766499
Sum254
Variance56.680851
MonotonicityNot monotonic
2024-04-18T00:43:40.421435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2 22
46.8%
3 9
19.1%
1 3
 
6.4%
0 3
 
6.4%
24 2
 
4.3%
6 1
 
2.1%
17 1
 
2.1%
22 1
 
2.1%
12 1
 
2.1%
25 1
 
2.1%
Other values (3) 3
 
6.4%
ValueCountFrequency (%)
0 3
 
6.4%
1 3
 
6.4%
2 22
46.8%
3 9
19.1%
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
 
4.3%
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 9
19.1%

account_n
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
일반회계
37 
도시및주거환경정비기금
10 

Length

Max length11
Median length4
Mean length5.4893617
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반회계 37
78.7%
도시및주거환경정비기금 10
 
21.3%

Length

2024-04-18T00:43:40.520351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:43:40.597037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반회계 37
78.7%
도시및주거환경정비기금 10
 
21.3%

admi_n
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
미등록
47 

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 47
100.0%

Length

2024-04-18T00:43:40.669925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:43:40.740059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미등록 47
100.0%

dis_restrict_day
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

build_use_n
Categorical

Distinct8
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
공동주택
12 
공공용시설
11 
업무시설
9 
기타
5 
제1종 근린생활시설
5 
Other values (3)
5 

Length

Max length10
Median length4
Mean length4.787234
Min length2

Unique

Unique2 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
공동주택 12
25.5%
공공용시설 11
23.4%
업무시설 9
19.1%
기타 5
10.6%
제1종 근린생활시설 5
10.6%
단독주택 3
 
6.4%
운동시설 1
 
2.1%
제2종 근린생활시설 1
 
2.1%

Length

2024-04-18T00:43:40.819191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:43:40.909953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공동주택 12
22.6%
공공용시설 11
20.8%
업무시설 9
17.0%
근린생활시설 6
11.3%
기타 5
9.4%
제1종 5
9.4%
단독주택 3
 
5.7%
운동시설 1
 
1.9%
제2종 1
 
1.9%

acq_way_n
Categorical

Distinct6
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size508.0 B
매입
31 
기타증가
8 
신축
4 
교환취득
 
2
무상귀속
 
1

Length

Max length6
Median length2
Mean length2.5531915
Min length2

Unique

Unique2 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
매입 31
66.0%
기타증가 8
 
17.0%
신축 4
 
8.5%
교환취득 2
 
4.3%
무상귀속 1
 
2.1%
누락재산등록 1
 
2.1%

Length

2024-04-18T00:43:41.017785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:43:41.106692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
매입 31
66.0%
기타증가 8
 
17.0%
신축 4
 
8.5%
교환취득 2
 
4.3%
무상귀속 1
 
2.1%
누락재산등록 1
 
2.1%

acq_day
Real number (ℝ)

Distinct41
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19919278
Minimum19580807
Maximum20151215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-04-18T00:43:41.196832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19580807
5-th percentile19758278
Q119801067
median19880714
Q320021014
95-th percentile20150331
Maximum20151215
Range570408
Interquartile range (IQR)219947

Descriptive statistics

Standard deviation152407.24
Coefficient of variation (CV)0.0076512431
Kurtosis-0.59009142
Mean19919278
Median Absolute Deviation (MAD)79794
Skewness0.088571634
Sum9.3620605 × 108
Variance2.3227966 × 1010
MonotonicityNot monotonic
2024-04-18T00:43:41.297488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
20021014 2
 
4.3%
19880714 2
 
4.3%
19801006 2
 
4.3%
20150101 2
 
4.3%
19580807 2
 
4.3%
19950830 2
 
4.3%
19800920 1
 
2.1%
19811013 1
 
2.1%
19801218 1
 
2.1%
19800909 1
 
2.1%
Other values (31) 31
66.0%
ValueCountFrequency (%)
19580807 2
4.3%
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
4.3%
19801007 1
2.1%
19801013 1
2.1%
ValueCountFrequency (%)
20151215 1
2.1%
20151202 1
2.1%
20150430 1
2.1%
20150101 2
4.3%
20141114 1
2.1%
20141028 1
2.1%
20140521 1
2.1%
20140103 1
2.1%
20140101 1
2.1%
20021016 1
2.1%

build_roof_n
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
슬라브
47 

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 47
100.0%

Length

2024-04-18T00:43:41.388886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:43:41.453458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
슬라브 47
100.0%

und_layer_cnt
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.787234
Minimum0
Maximum26
Zeros19
Zeros (%)40.4%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-04-18T00:43:41.512478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31.5
95-th percentile3.7
Maximum26
Range26
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation4.3485938
Coefficient of variation (CV)2.4331418
Kurtosis23.443114
Mean1.787234
Median Absolute Deviation (MAD)1
Skewness4.6849365
Sum84
Variance18.910268
MonotonicityNot monotonic
2024-04-18T00:43:41.595585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 19
40.4%
1 16
34.0%
2 5
 
10.6%
3 4
 
8.5%
4 1
 
2.1%
26 1
 
2.1%
16 1
 
2.1%
ValueCountFrequency (%)
0 19
40.4%
1 16
34.0%
2 5
 
10.6%
3 4
 
8.5%
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
 
8.5%
2 5
 
10.6%
1 16
34.0%
0 19
40.4%

build_day
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)93.2%
Missing3
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean19873696
Minimum19580807
Maximum20151215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-04-18T00:43:41.683313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19580807
5-th percentile19732235
Q119800927
median19810412
Q319916123
95-th percentile20148821
Maximum20151215
Range570408
Interquartile range (IQR)115196

Descriptive statistics

Standard deviation146151.05
Coefficient of variation (CV)0.0073539944
Kurtosis0.13371235
Mean19873696
Median Absolute Deviation (MAD)39707
Skewness0.70707786
Sum8.7444264 × 108
Variance2.136013 × 1010
MonotonicityNot monotonic
2024-04-18T00:43:41.781804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
19801006 2
 
4.3%
19580807 2
 
4.3%
19880721 2
 
4.3%
19810101 1
 
2.1%
19730825 1
 
2.1%
19880507 1
 
2.1%
19800930 1
 
2.1%
19800920 1
 
2.1%
19811013 1
 
2.1%
19801218 1
 
2.1%
Other values (31) 31
66.0%
(Missing) 3
 
6.4%
ValueCountFrequency (%)
19580807 2
4.3%
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 size508.0 B
2021-03-01 05:32:03
47 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-03-01 05:32:03
2nd row2021-03-01 05:32:03
3rd row2021-03-01 05:32:03
4th row2021-03-01 05:32:03
5th row2021-03-01 05:32:03

Common Values

ValueCountFrequency (%)
2021-03-01 05:32:03 47
100.0%

Length

2024-04-18T00:43:41.876379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:43:41.941918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-03-01 47
50.0%
05:32:03 47
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>서구 자활후견기관 사무실(활용)부산광역시 서구 동대신동2가 79-106<NA>부산광역시 기획조정실 재정관 회계재산담당관115일반재산N59.24<NA>59시멘트벽돌조2일반회계미등록<NA>공공용시설매입20000608슬라브0198106222021-03-01 05:32:03
1미대부<NA>방수공사 상업용 건물부산광역시 동구 수정동 1184-20<NA>부산광역시 기획조정실 재정관 회계재산담당관66일반재산N66.87<NA>67시멘트벽돌조2일반회계미등록<NA>기타매입19740225슬라브0197402252021-03-01 05:32:03
2미대부<NA>봉래치안센타부산광역시 영도구 봉래동5가 168-4<NA>부산광역시 기획조정실 재정관 회계재산담당관115일반재산N115.84<NA>115철근콘크리트조3일반회계미등록<NA>공공용시설매입19801006슬라브1198010062021-03-01 05:32:03
3미대부<NA>(구) 영선3파출소부산광역시 영도구 영선동4가 1475-1<NA>부산광역시 기획조정실 재정관 회계재산담당관108일반재산N108.54<NA>108시멘트블럭조2일반회계미등록<NA>업무시설교환취득19991223슬라브1198008222021-03-01 05:32:03
4미대부<NA>범전동주민센타부산광역시 부산진구 범전동 329-15<NA>부산광역시 기획조정실 재정관 회계재산담당관601일반재산N601.56<NA>287철골콘크리트조2일반회계미등록<NA>공공용시설매입19861029슬라브1198610292021-03-01 05:32:03
5미대부<NA>주택부산광역시 부산진구 전포동 11-15<NA>부산광역시 기획조정실 재정관 회계재산담당관77일반재산N77.34<NA>77철골콘크리트조1일반회계미등록<NA>단독주택무상귀속19841203슬라브0198412032021-03-01 05:32:03
6미대부<NA>삼익아파트 5동점포(가10호)부산광역시 동래구 사직동 16-1<NA>부산광역시 기획조정실 재정관 회계재산담당관31일반재산N44.01<NA>44철골콘크리트조0일반회계미등록<NA>제1종 근린생활시설매입19850912슬라브2197906252021-03-01 05:32:03
7미대부<NA>관사(소방본부장)-새동래아파트 나동부산광역시 동래구 수안동 6-1<NA>부산광역시 기획조정실 재정관 회계재산담당관77일반재산N77.76<NA>77철골콘크리트조0일반회계미등록<NA>공동주택매입19800401슬라브0197911242021-03-01 05:32:03
8미대부<NA>남구 &amp;#52453;년연합회 사용부산광역시 남구 감만동 17-9<NA>부산광역시 기획조정실 재정관 회계재산담당관116일반재산N116.0<NA>116철골콘크리트조2일반회계미등록<NA>공공용시설매입19810203슬라브0198102032021-03-01 05:32:03
9미대부<NA>감만2주민자체센터(공부방)부산광역시 남구 감만동 39-23<NA>부산광역시 기획조정실 재정관 회계재산담당관138일반재산N138.33<NA>138철골콘크리트조2일반회계미등록<NA>제1종 근린생활시설매입19860227슬라브0199001292021-03-01 05:32:03
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
37미대부<NA>재송1구역 주택재개발사업 임대주택부산광역시 해운대구 재송동 87-3<NA>부산광역시 도시계획실 도시균형재생국 도시정비과2356일반재산N0.0부산광역시 창조도시국 도시정비과2356철근콘크리트조17도시및주거환경정비기금미등록<NA>공동주택신축20150101슬라브3<NA>2021-03-01 05:32:03
38미대부<NA>우동1구역 주택재개발사업 임대주택부산광역시 해운대구 우동 1108-56<NA>부산광역시 도시계획실 도시균형재생국 도시정비과4216일반재산N191.65부산광역시 창조도시국 도시정비과4216철근콘크리트조22도시및주거환경정비기금미등록<NA>공동주택신축20150101슬라브3<NA>2021-03-01 05:32:03
39미대부<NA>명륜3구역 주택재개발사업부산광역시 동래구 복천동 561<NA>부산광역시 도시계획실 도시균형재생국 도시정비과10644일반재산<NA>760.31부산광역시 창조도시국 도시정비과10644철골콘크리트조12도시및주거환경정비기금미등록<NA>공동주택매입20151215슬라브2201512152021-03-01 05:32:03
40미대부<NA>서대신3재개발 임대아파트부산광역시 서구 서대신동3가 752<NA>부산광역시 도시계획실 도시균형재생국 도시정비과2248일반재산<NA>3910.36부산광역시 창조도시국 도시정비과2248철근콘크리트조24도시및주거환경정비기금미등록<NA>공동주택매입20140521슬라브2201402142021-03-01 05:32:03
41미대부<NA>금곡2재개발 임대아파트부산광역시 북구 금곡동 1915<NA>부산광역시 도시계획실 도시균형재생국 도시정비과4560일반재산N4430.82부산광역시 창조도시국 도시정비과4560철골콘크리트조25도시및주거환경정비기금미등록<NA>공동주택매입20141114슬라브3201403292021-03-01 05:32:03
42미대부부산광역시 창조도시국 도시정비과민락1재개발 임대아파트부산광역시 수영구 민락동 765<NA>부산광역시 도시계획실 도시균형재생국 도시정비과7245일반재산<NA>7855.98부산광역시 창조도시국 도시정비과7245철근콘크리트조27도시및주거환경정비기금미등록<NA>공동주택매입20150430슬라브4201503062021-03-01 05:32:03
43미대부부산광역시 창조도시국 도시정비과중동3재개발 임대아파트부산광역시 해운대구 중동 1793<NA>부산광역시 도시계획실 도시균형재생국 도시정비과5701일반재산<NA>5078.84부산광역시 창조도시국 도시정비과5701철골콘크리트조18도시및주거환경정비기금미등록<NA>공동주택매입20141028슬라브3201404052021-03-01 05:32:03
44미대부<NA>당리1 재개발 임대아파트부산광역시 사하구 당리동 572<NA>부산광역시 도시계획실 도시균형재생국 도시정비과4311일반재산N4301.46부산광역시 창조도시국 도시정비과4311철골콘크리트조5도시및주거환경정비기금미등록<NA>공동주택매입20140101슬라브26201307242021-03-01 05:32:03
45미대부부산광역시 창조도시국 도시정비과장전1-2구역 재개발 임대아파트부산광역시 금정구 장전동 227<NA>부산광역시 도시계획실 도시균형재생국 도시정비과14901일반재산<NA><NA>부산광역시 창조도시국 도시정비과14901미등록3도시및주거환경정비기금미등록<NA>공동주택신축20140103슬라브16201206262021-03-01 05:32:03
46미대부<NA>대연1주택재개발 임대주택부산광역시 남구 대연동 1865<NA>부산광역시 도시계획실 도시균형재생국 도시정비과4232일반재산N162.78부산광역시 창조도시국 도시정비과4232철골콘크리트조24도시및주거환경정비기금미등록<NA>공동주택신축20151202슬라브2201512022021-03-01 05:32:03

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>49철골콘크리트조2일반회계미등록단독주택매입19580807슬라브0195808072021-03-01 05:32:032