Overview

Dataset statistics

Number of variables36
Number of observations10000
Missing cells24147
Missing cells (%)6.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 MiB
Average record size in memory320.0 B

Variable types

Text5
Categorical5
Numeric23
Unsupported3

Dataset

Description관리_폐쇄말소대장_PK,주_부속_구분_코드,양성화_여부,동명칭,주_용도_코드,기타_용도,세대_수,가구_수,구조_코드,기타_구조,지붕_코드,기타_지붕,건축_면적,연면적,용적_율_산정_연면적,높이,대지_면적,건폐_율,용적_율,지상_층_수,지하_층_수,승용_승강기_수,비상용_승강기_수,부속_건축물_수,부속_건축물_면적,옥내_자주식_대수,옥내_자주식_면적,옥외_자주식_대수,옥외_자주식_면적,옥내_기계식_대수,옥내_기계식_면적,옥외_기계식_대수,옥외_기계식_면적,허가_일,착공_일,사용승인_일
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15396/S/1/datasetView.do

Alerts

주_부속_구분_코드 is highly imbalanced (85.4%)Imbalance
양성화_여부 is highly imbalanced (93.3%)Imbalance
주_용도_코드 is highly imbalanced (54.0%)Imbalance
동명칭 has 8674 (86.7%) missing valuesMissing
허가_일 has 6790 (67.9%) missing valuesMissing
착공_일 has 7503 (75.0%) missing valuesMissing
사용승인_일 has 1091 (10.9%) missing valuesMissing
세대_수 is highly skewed (γ1 = 48.78915952)Skewed
가구_수 is highly skewed (γ1 = 40.18510296)Skewed
건축_면적 is highly skewed (γ1 = 44.40310197)Skewed
연면적 is highly skewed (γ1 = 27.24034991)Skewed
용적_율_산정_연면적 is highly skewed (γ1 = 30.20229486)Skewed
옥내_자주식_대수 is highly skewed (γ1 = 30.25358168)Skewed
옥내_자주식_면적 is highly skewed (γ1 = 40.51547814)Skewed
옥외_자주식_대수 is highly skewed (γ1 = 63.30163161)Skewed
옥외_자주식_면적 is highly skewed (γ1 = 49.34870982)Skewed
옥내_기계식_면적 is highly skewed (γ1 = 32.44872162)Skewed
옥외_기계식_대수 is highly skewed (γ1 = 57.02212665)Skewed
옥외_기계식_면적 is highly skewed (γ1 = 34.75399567)Skewed
관리_폐쇄말소대장_PK has unique valuesUnique
허가_일 is an unsupported type, check if it needs cleaning or further analysisUnsupported
착공_일 is an unsupported type, check if it needs cleaning or further analysisUnsupported
사용승인_일 is an unsupported type, check if it needs cleaning or further analysisUnsupported
세대_수 has 8814 (88.1%) zerosZeros
가구_수 has 6938 (69.4%) zerosZeros
건축_면적 has 6591 (65.9%) zerosZeros
연면적 has 110 (1.1%) zerosZeros
용적_율_산정_연면적 has 6888 (68.9%) zerosZeros
높이 has 7391 (73.9%) zerosZeros
대지_면적 has 6874 (68.7%) zerosZeros
건폐_율 has 7865 (78.6%) zerosZeros
용적_율 has 7858 (78.6%) zerosZeros
지상_층_수 has 213 (2.1%) zerosZeros
지하_층_수 has 5433 (54.3%) zerosZeros
승용_승강기_수 has 9307 (93.1%) zerosZeros
비상용_승강기_수 has 9756 (97.6%) zerosZeros
부속_건축물_수 has 9399 (94.0%) zerosZeros
부속_건축물_면적 has 9413 (94.1%) zerosZeros
옥내_자주식_대수 has 9336 (93.4%) zerosZeros
옥내_자주식_면적 has 9454 (94.5%) zerosZeros
옥외_자주식_대수 has 8946 (89.5%) zerosZeros
옥외_자주식_면적 has 9390 (93.9%) zerosZeros
옥내_기계식_대수 has 9900 (99.0%) zerosZeros
옥내_기계식_면적 has 9933 (99.3%) zerosZeros
옥외_기계식_대수 has 9978 (99.8%) zerosZeros
옥외_기계식_면적 has 9991 (99.9%) zerosZeros

Reproduction

Analysis started2024-05-03 22:08:09.290221
Analysis finished2024-05-03 22:08:12.932232
Duration3.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리_폐쇄말소대장_PK
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-03T22:08:13.408978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length15
Mean length13.0593
Min length9

Characters and Unicode

Total characters130593
Distinct characters11
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

Unique10000 ?
Unique (%)100.0%

Sample

1st row11590-100266044
2nd row11170-1000000000000003292364
3rd row11305-5077
4th row11290-16908
5th row11215-100194536
ValueCountFrequency (%)
11590-100266044 1
 
< 0.1%
11590-100435420 1
 
< 0.1%
11260-100291223 1
 
< 0.1%
11290-5016 1
 
< 0.1%
11650-100760293 1
 
< 0.1%
11305-100165413 1
 
< 0.1%
11290-11620 1
 
< 0.1%
11290-13719 1
 
< 0.1%
11110-100341936 1
 
< 0.1%
11305-1167 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-05-03T22:08:14.690906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 33995
26.0%
0 31542
24.2%
2 10755
 
8.2%
- 10000
 
7.7%
3 8982
 
6.9%
5 7574
 
5.8%
9 7384
 
5.7%
4 5843
 
4.5%
6 5016
 
3.8%
8 4861
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 120593
92.3%
Dash Punctuation 10000
 
7.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 33995
28.2%
0 31542
26.2%
2 10755
 
8.9%
3 8982
 
7.4%
5 7574
 
6.3%
9 7384
 
6.1%
4 5843
 
4.8%
6 5016
 
4.2%
8 4861
 
4.0%
7 4641
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 130593
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 33995
26.0%
0 31542
24.2%
2 10755
 
8.2%
- 10000
 
7.7%
3 8982
 
6.9%
5 7574
 
5.8%
9 7384
 
5.7%
4 5843
 
4.5%
6 5016
 
3.8%
8 4861
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 130593
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 33995
26.0%
0 31542
24.2%
2 10755
 
8.2%
- 10000
 
7.7%
3 8982
 
6.9%
5 7574
 
5.8%
9 7384
 
5.7%
4 5843
 
4.5%
6 5016
 
3.8%
8 4861
 
3.7%

주_부속_구분_코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
주건축물
9627 
부속건축물
 
372
<NA>
 
1

Length

Max length5
Median length4
Mean length4.0372
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
주건축물 9627
96.3%
부속건축물 372
 
3.7%
<NA> 1
 
< 0.1%

Length

2024-05-03T22:08:15.191125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:08:15.507481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주건축물 9627
96.3%
부속건축물 372
 
3.7%
na 1
 
< 0.1%

양성화_여부
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9875 
<NA>
 
99
1
 
26

Length

Max length4
Median length1
Mean length1.0297
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 9875
98.8%
<NA> 99
 
1.0%
1 26
 
0.3%

Length

2024-05-03T22:08:15.836200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:08:16.162720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9875
98.8%
na 99
 
1.0%
1 26
 
0.3%

동명칭
Text

MISSING 

Distinct702
Distinct (%)52.9%
Missing8674
Missing (%)86.7%
Memory size156.2 KiB
2024-05-03T22:08:16.628268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length17
Mean length4.6568627
Min length1

Characters and Unicode

Total characters6175
Distinct characters375
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique539 ?
Unique (%)40.6%

Sample

1st row제카호
2nd row빗물저류조
3rd row809동
4th row4동
5th row나동
ValueCountFrequency (%)
101동 30
 
2.1%
102동 30
 
2.1%
나동 29
 
2.0%
가동 24
 
1.7%
103동 21
 
1.5%
b동 21
 
1.5%
지하주차장 19
 
1.3%
주건축물제1동 19
 
1.3%
경로당 15
 
1.1%
a동 15
 
1.1%
Other values (729) 1196
84.3%
2024-05-03T22:08:17.554841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 725
 
11.7%
1 551
 
8.9%
0 378
 
6.1%
2 266
 
4.3%
3 199
 
3.2%
실 162
 
2.6%
주 132
 
2.1%
4 129
 
2.1%
5 106
 
1.7%
93
 
1.5%
Other values (365) 3434
55.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3854
62.4%
Decimal Number 1851
30.0%
Uppercase Letter 123
 
2.0%
Space Separator 93
 
1.5%
Other Punctuation 72
 
1.2%
Open Punctuation 58
 
0.9%
Close Punctuation 58
 
0.9%
Dash Punctuation 51
 
0.8%
Lowercase Letter 14
 
0.2%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 725
 
18.8%
실 162
 
4.2%
주 132
 
3.4%
비 82
 
2.1%
경 80
 
2.1%
관 78
 
2.0%
시 72
 
1.9%
제 66
 
1.7%
기 65
 
1.7%
설 64
 
1.7%
Other values (317) 2328
60.4%
Uppercase Letter
ValueCountFrequency (%)
B 33
26.8%
A 21
17.1%
C 12
 
9.8%
D 10
 
8.1%
F 7
 
5.7%
M 7
 
5.7%
T 6
 
4.9%
P 4
 
3.3%
I 4
 
3.3%
N 4
 
3.3%
Other values (10) 15
12.2%
Decimal Number
ValueCountFrequency (%)
1 551
29.8%
0 378
20.4%
2 266
14.4%
3 199
 
10.8%
4 129
 
7.0%
5 106
 
5.7%
6 69
 
3.7%
8 57
 
3.1%
7 52
 
2.8%
9 44
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
a 3
21.4%
n 3
21.4%
k 3
21.4%
r 1
 
7.1%
e 1
 
7.1%
w 1
 
7.1%
o 1
 
7.1%
t 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 53
73.6%
. 9
 
12.5%
/ 5
 
6.9%
# 4
 
5.6%
& 1
 
1.4%
Space Separator
ValueCountFrequency (%)
93
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3854
62.4%
Common 2183
35.4%
Latin 138
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 725
 
18.8%
실 162
 
4.2%
주 132
 
3.4%
비 82
 
2.1%
경 80
 
2.1%
관 78
 
2.0%
시 72
 
1.9%
제 66
 
1.7%
기 65
 
1.7%
설 64
 
1.7%
Other values (317) 2328
60.4%
Latin
ValueCountFrequency (%)
B 33
23.9%
A 21
15.2%
C 12
 
8.7%
D 10
 
7.2%
F 7
 
5.1%
M 7
 
5.1%
T 6
 
4.3%
P 4
 
2.9%
I 4
 
2.9%
N 4
 
2.9%
Other values (19) 30
21.7%
Common
ValueCountFrequency (%)
1 551
25.2%
0 378
17.3%
2 266
12.2%
3 199
 
9.1%
4 129
 
5.9%
5 106
 
4.9%
93
 
4.3%
6 69
 
3.2%
( 58
 
2.7%
) 58
 
2.7%
Other values (9) 276
12.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3854
62.4%
ASCII 2320
37.6%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 725
 
18.8%
실 162
 
4.2%
주 132
 
3.4%
비 82
 
2.1%
경 80
 
2.1%
관 78
 
2.0%
시 72
 
1.9%
제 66
 
1.7%
기 65
 
1.7%
설 64
 
1.7%
Other values (317) 2328
60.4%
ASCII
ValueCountFrequency (%)
1 551
23.8%
0 378
16.3%
2 266
11.5%
3 199
 
8.6%
4 129
 
5.6%
5 106
 
4.6%
93
 
4.0%
6 69
 
3.0%
( 58
 
2.5%
) 58
 
2.5%
Other values (37) 413
17.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

주_용도_코드
Categorical

IMBALANCE 

Distinct42
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
단독주택
4819 
<NA>
1926 
공동주택
1295 
제1종근린생활시설
542 
제2종근린생활시설
 
420
Other values (37)
998 

Length

Max length10
Median length4
Mean length4.6353
Min length2

Unique

Unique8 ?
Unique (%)0.1%

Sample

1st row제1종근린생활시설
2nd row단독주택
3rd row단독주택
4th row단독주택
5th row단독주택

Common Values

ValueCountFrequency (%)
단독주택 4819
48.2%
<NA> 1926
 
19.3%
공동주택 1295
 
13.0%
제1종근린생활시설 542
 
5.4%
제2종근린생활시설 420
 
4.2%
근린생활시설 273
 
2.7%
교육연구시설 110
 
1.1%
업무시설 109
 
1.1%
교정및군사시설 54
 
0.5%
종교시설 53
 
0.5%
Other values (32) 399
 
4.0%

Length

2024-05-03T22:08:17.914575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
단독주택 4819
48.2%
na 1926
 
19.3%
공동주택 1295
 
13.0%
제1종근린생활시설 542
 
5.4%
제2종근린생활시설 420
 
4.2%
근린생활시설 273
 
2.7%
교육연구시설 110
 
1.1%
업무시설 109
 
1.1%
교정및군사시설 54
 
0.5%
종교시설 53
 
0.5%
Other values (32) 399
 
4.0%

기타_용도
Text

Distinct1230
Distinct (%)12.3%
Missing11
Missing (%)0.1%
Memory size156.2 KiB
2024-05-03T22:08:18.377480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length61
Mean length5.5120633
Min length1

Characters and Unicode

Total characters55060
Distinct characters307
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique890 ?
Unique (%)8.9%

Sample

1st row화장실
2nd row주택
3rd row주택
4th row주택
5th row다가구용단독주택(6가구)
ValueCountFrequency (%)
주택 4845
42.2%
단독주택 1250
 
10.9%
근린생활시설 1147
 
10.0%
점포 255
 
2.2%
다세대주택 213
 
1.9%
공동주택(아파트 203
 
1.8%
제2종근린생활시설 120
 
1.0%
연립주택 112
 
1.0%
아파트 92
 
0.8%
공동주택 90
 
0.8%
Other values (966) 3156
27.5%
2024-05-03T22:08:19.373621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 8043
 
14.6%
택 7910
 
14.4%
시 2659
 
4.8%
설 2513
 
4.6%
생 1846
 
3.4%
활 1829
 
3.3%
단 1815
 
3.3%
, 1767
 
3.2%
독 1733
 
3.1%
근 1720
 
3.1%
Other values (297) 23225
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47925
87.0%
Other Punctuation 1821
 
3.3%
Space Separator 1497
 
2.7%
Close Punctuation 1280
 
2.3%
Open Punctuation 1280
 
2.3%
Decimal Number 1097
 
2.0%
Uppercase Letter 97
 
0.2%
Dash Punctuation 47
 
0.1%
Math Symbol 15
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 8043
16.8%
택 7910
16.5%
시 2659
 
5.5%
설 2513
 
5.2%
생 1846
 
3.9%
활 1829
 
3.8%
단 1815
 
3.8%
독 1733
 
3.6%
근 1720
 
3.6%
린 1719
 
3.6%
Other values (264) 16138
33.7%
Decimal Number
ValueCountFrequency (%)
2 314
28.6%
1 256
23.3%
5 131
11.9%
3 115
 
10.5%
4 102
 
9.3%
6 51
 
4.6%
7 44
 
4.0%
8 38
 
3.5%
0 31
 
2.8%
9 15
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
F 30
30.9%
D 30
30.9%
M 30
30.9%
E 2
 
2.1%
V 1
 
1.0%
L 1
 
1.0%
C 1
 
1.0%
N 1
 
1.0%
G 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 1767
97.0%
/ 34
 
1.9%
. 18
 
1.0%
: 2
 
0.1%
Math Symbol
ValueCountFrequency (%)
< 7
46.7%
> 7
46.7%
+ 1
 
6.7%
Close Punctuation
ValueCountFrequency (%)
) 1279
99.9%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1278
99.8%
[ 2
 
0.2%
Space Separator
ValueCountFrequency (%)
1497
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47925
87.0%
Common 7038
 
12.8%
Latin 97
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 8043
16.8%
택 7910
16.5%
시 2659
 
5.5%
설 2513
 
5.2%
생 1846
 
3.9%
활 1829
 
3.8%
단 1815
 
3.8%
독 1733
 
3.6%
근 1720
 
3.6%
린 1719
 
3.6%
Other values (264) 16138
33.7%
Common
ValueCountFrequency (%)
, 1767
25.1%
1497
21.3%
) 1279
18.2%
( 1278
18.2%
2 314
 
4.5%
1 256
 
3.6%
5 131
 
1.9%
3 115
 
1.6%
4 102
 
1.4%
6 51
 
0.7%
Other values (14) 248
 
3.5%
Latin
ValueCountFrequency (%)
F 30
30.9%
D 30
30.9%
M 30
30.9%
E 2
 
2.1%
V 1
 
1.0%
L 1
 
1.0%
C 1
 
1.0%
N 1
 
1.0%
G 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47925
87.0%
ASCII 7134
 
13.0%
CJK Compat 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 8043
16.8%
택 7910
16.5%
시 2659
 
5.5%
설 2513
 
5.2%
생 1846
 
3.9%
활 1829
 
3.8%
단 1815
 
3.8%
독 1733
 
3.6%
근 1720
 
3.6%
린 1719
 
3.6%
Other values (264) 16138
33.7%
ASCII
ValueCountFrequency (%)
, 1767
24.8%
1497
21.0%
) 1279
17.9%
( 1278
17.9%
2 314
 
4.4%
1 256
 
3.6%
5 131
 
1.8%
3 115
 
1.6%
4 102
 
1.4%
6 51
 
0.7%
Other values (22) 344
 
4.8%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

세대_수
Real number (ℝ)

SKEWED  ZEROS 

Distinct138
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3339
Minimum0
Maximum2020
Zeros8814
Zeros (%)88.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T22:08:19.800507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile11
Maximum2020
Range2020
Interquartile range (IQR)0

Descriptive statistics

Standard deviation26.109182
Coefficient of variation (CV)7.8314232
Kurtosis3587.0072
Mean3.3339
Median Absolute Deviation (MAD)0
Skewness48.78916
Sum33339
Variance681.68938
MonotonicityNot monotonic
2024-05-03T22:08:20.205621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8814
88.1%
4 119
 
1.2%
5 97
 
1.0%
3 87
 
0.9%
8 82
 
0.8%
10 72
 
0.7%
2 56
 
0.6%
6 55
 
0.5%
12 44
 
0.4%
7 44
 
0.4%
Other values (128) 530
 
5.3%
ValueCountFrequency (%)
0 8814
88.1%
1 38
 
0.4%
2 56
 
0.6%
3 87
 
0.9%
4 119
 
1.2%
5 97
 
1.0%
6 55
 
0.5%
7 44
 
0.4%
8 82
 
0.8%
9 31
 
0.3%
ValueCountFrequency (%)
2020 1
< 0.1%
450 1
< 0.1%
414 1
< 0.1%
321 1
< 0.1%
312 1
< 0.1%
288 1
< 0.1%
280 1
< 0.1%
254 1
< 0.1%
238 1
< 0.1%
233 1
< 0.1%

가구_수
Real number (ℝ)

SKEWED  ZEROS 

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4924
Minimum0
Maximum131
Zeros6938
Zeros (%)69.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T22:08:20.679261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum131
Range131
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.8580332
Coefficient of variation (CV)3.7734225
Kurtosis2585.5653
Mean0.4924
Median Absolute Deviation (MAD)0
Skewness40.185103
Sum4924
Variance3.4522875
MonotonicityNot monotonic
2024-05-03T22:08:21.050672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 6938
69.4%
1 2616
 
26.2%
5 101
 
1.0%
3 97
 
1.0%
2 67
 
0.7%
4 62
 
0.6%
7 36
 
0.4%
6 36
 
0.4%
8 17
 
0.2%
9 8
 
0.1%
Other values (8) 22
 
0.2%
ValueCountFrequency (%)
0 6938
69.4%
1 2616
 
26.2%
2 67
 
0.7%
3 97
 
1.0%
4 62
 
0.6%
5 101
 
1.0%
6 36
 
0.4%
7 36
 
0.4%
8 17
 
0.2%
9 8
 
0.1%
ValueCountFrequency (%)
131 1
 
< 0.1%
65 1
 
< 0.1%
19 1
 
< 0.1%
16 5
 
0.1%
15 2
 
< 0.1%
12 4
 
< 0.1%
11 1
 
< 0.1%
10 7
0.1%
9 8
0.1%
8 17
0.2%

구조_코드
Categorical

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
벽돌구조
4011 
철근콘크리트구조
2461 
블록구조
1677 
일반목구조
764 
목구조
686 
Other values (14)
 
401

Length

Max length12
Median length4
Mean length5.0737
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row벽돌구조
2nd row일반목구조
3rd row블록구조
4th row벽돌구조
5th row철근콘크리트구조

Common Values

ValueCountFrequency (%)
벽돌구조 4011
40.1%
철근콘크리트구조 2461
24.6%
블록구조 1677
16.8%
일반목구조 764
 
7.6%
목구조 686
 
6.9%
일반철골구조 102
 
1.0%
<NA> 84
 
0.8%
경량철골구조 71
 
0.7%
철골철근콘크리트구조 54
 
0.5%
조적구조 35
 
0.4%
Other values (9) 55
 
0.5%

Length

2024-05-03T22:08:21.458747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
벽돌구조 4011
40.1%
철근콘크리트구조 2461
24.6%
블록구조 1677
16.8%
일반목구조 764
 
7.6%
목구조 686
 
6.9%
일반철골구조 102
 
1.0%
na 84
 
0.8%
경량철골구조 71
 
0.7%
철골철근콘크리트구조 54
 
0.5%
조적구조 35
 
0.4%
Other values (9) 55
 
0.5%

기타_구조
Text

Distinct530
Distinct (%)5.3%
Missing19
Missing (%)0.2%
Memory size156.2 KiB
2024-05-03T22:08:21.864695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length5.0693317
Min length2

Characters and Unicode

Total characters50597
Distinct characters161
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

Unique358 ?
Unique (%)3.6%

Sample

1st row연와조
2nd row목조
3rd row세멘부록조
4th row연와조
5th row철근콘크리트연와조
ValueCountFrequency (%)
연와조 3644
33.5%
목조 1399
 
12.9%
철근콘크리트구조 1340
 
12.3%
세멘부록 1129
 
10.4%
철근콘크리트조 779
 
7.2%
세멘부록조 313
 
2.9%
세멘벽돌조 273
 
2.5%
세멘부로크조 215
 
2.0%
세멘벽돌 184
 
1.7%
철근콘크리트 159
 
1.5%
Other values (340) 1429
 
13.2%
2024-05-03T22:08:22.550342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
조 9535
18.8%
와 3796
 
7.5%
연 3791
 
7.5%
철 2869
 
5.7%
크 2783
 
5.5%
트 2610
 
5.2%
리 2550
 
5.0%
근 2544
 
5.0%
콘 2503
 
4.9%
멘 2462
 
4.9%
Other values (151) 15154
30.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48053
95.0%
Other Punctuation 1062
 
2.1%
Space Separator 891
 
1.8%
Decimal Number 253
 
0.5%
Close Punctuation 108
 
0.2%
Open Punctuation 108
 
0.2%
Uppercase Letter 88
 
0.2%
Dash Punctuation 28
 
0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 9535
19.8%
와 3796
 
7.9%
연 3791
 
7.9%
철 2869
 
6.0%
크 2783
 
5.8%
트 2610
 
5.4%
리 2550
 
5.3%
근 2544
 
5.3%
콘 2503
 
5.2%
멘 2462
 
5.1%
Other values (118) 12610
26.2%
Decimal Number
ValueCountFrequency (%)
3 50
19.8%
1 49
19.4%
2 44
17.4%
5 20
 
7.9%
4 20
 
7.9%
7 19
 
7.5%
6 19
 
7.5%
0 12
 
4.7%
9 11
 
4.3%
8 9
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 954
89.8%
. 74
 
7.0%
: 20
 
1.9%
/ 11
 
1.0%
？ 1
 
0.1%
， 1
 
0.1%
' 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
C 42
47.7%
R 40
45.5%
P 2
 
2.3%
I 1
 
1.1%
E 1
 
1.1%
O 1
 
1.1%
N 1
 
1.1%
Space Separator
ValueCountFrequency (%)
889
99.8%
　 2
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 107
99.1%
] 1
 
0.9%
Open Punctuation
ValueCountFrequency (%)
( 107
99.1%
[ 1
 
0.9%
Math Symbol
ValueCountFrequency (%)
+ 4
66.7%
~ 2
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48053
95.0%
Common 2456
 
4.9%
Latin 88
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 9535
19.8%
와 3796
 
7.9%
연 3791
 
7.9%
철 2869
 
6.0%
크 2783
 
5.8%
트 2610
 
5.4%
리 2550
 
5.3%
근 2544
 
5.3%
콘 2503
 
5.2%
멘 2462
 
5.1%
Other values (118) 12610
26.2%
Common
ValueCountFrequency (%)
, 954
38.8%
889
36.2%
) 107
 
4.4%
( 107
 
4.4%
. 74
 
3.0%
3 50
 
2.0%
1 49
 
2.0%
2 44
 
1.8%
- 28
 
1.1%
5 20
 
0.8%
Other values (16) 134
 
5.5%
Latin
ValueCountFrequency (%)
C 42
47.7%
R 40
45.5%
P 2
 
2.3%
I 1
 
1.1%
E 1
 
1.1%
O 1
 
1.1%
N 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48053
95.0%
ASCII 2540
 
5.0%
None 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
조 9535
19.8%
와 3796
 
7.9%
연 3791
 
7.9%
철 2869
 
6.0%
크 2783
 
5.8%
트 2610
 
5.4%
리 2550
 
5.3%
근 2544
 
5.3%
콘 2503
 
5.2%
멘 2462
 
5.1%
Other values (118) 12610
26.2%
ASCII
ValueCountFrequency (%)
, 954
37.6%
889
35.0%
) 107
 
4.2%
( 107
 
4.2%
. 74
 
2.9%
3 50
 
2.0%
1 49
 
1.9%
2 44
 
1.7%
C 42
 
1.7%
R 40
 
1.6%
Other values (20) 184
 
7.2%
None
ValueCountFrequency (%)
　 2
50.0%
？ 1
25.0%
， 1
25.0%

지붕_코드
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
기와
4487 
(철근)콘크리트
4449 
기타지붕
 
445
슬레이트
 
313
<NA>
 
306

Length

Max length8
Median length4
Mean length4.8822
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row(철근)콘크리트
2nd row기와
3rd row기와
4th row기와
5th row(철근)콘크리트

Common Values

ValueCountFrequency (%)
기와 4487
44.9%
(철근)콘크리트 4449
44.5%
기타지붕 445
 
4.5%
슬레이트 313
 
3.1%
<NA> 306
 
3.1%

Length

2024-05-03T22:08:22.975652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:08:23.350440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기와 4487
44.9%
철근)콘크리트 4449
44.5%
기타지붕 445
 
4.5%
슬레이트 313
 
3.1%
na 306
 
3.1%

기타_지붕
Text

Distinct889
Distinct (%)8.9%
Missing59
Missing (%)0.6%
Memory size156.2 KiB
2024-05-03T22:08:23.866592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length35
Mean length5.1374107
Min length2

Characters and Unicode

Total characters51071
Distinct characters212
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

Unique660 ?
Unique (%)6.6%

Sample

1st row슬래브지붕
2nd row와즙
3rd row와즙
4th row세멘기와
5th row평스라브
ValueCountFrequency (%)
세멘와즙 1740
15.6%
세멘기와 1548
13.9%
스라브 1305
11.7%
평스라브 898
 
8.1%
와즙 736
 
6.6%
철근)콘크리트 685
 
6.2%
기와 633
 
5.7%
평옥개 501
 
4.5%
스레트 205
 
1.8%
스라부 157
 
1.4%
Other values (754) 2718
24.4%
2024-05-03T22:08:25.067706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
와 5220
 
10.2%
스 3618
 
7.1%
멘 3573
 
7.0%
세 3559
 
7.0%
라 3318
 
6.5%
즙 3119
 
6.1%
브 3111
 
6.1%
기 2572
 
5.0%
평 2113
 
4.1%
트 1693
 
3.3%
Other values (202) 19175
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44429
87.0%
Other Punctuation 1605
 
3.1%
Close Punctuation 1423
 
2.8%
Open Punctuation 1423
 
2.8%
Space Separator 1186
 
2.3%
Decimal Number 980
 
1.9%
Dash Punctuation 14
 
< 0.1%
Other Symbol 7
 
< 0.1%
Uppercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
와 5220
11.7%
스 3618
 
8.1%
멘 3573
 
8.0%
세 3559
 
8.0%
라 3318
 
7.5%
즙 3119
 
7.0%
브 3111
 
7.0%
기 2572
 
5.8%
평 2113
 
4.8%
트 1693
 
3.8%
Other values (179) 12533
28.2%
Decimal Number
ValueCountFrequency (%)
2 148
15.1%
1 124
12.7%
0 117
11.9%
8 99
10.1%
4 98
10.0%
3 96
9.8%
5 89
9.1%
6 74
7.6%
7 70
7.1%
9 65
6.6%
Other Punctuation
ValueCountFrequency (%)
, 1149
71.6%
. 259
 
16.1%
: 188
 
11.7%
/ 9
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
R 1
25.0%
F 1
25.0%
S 1
25.0%
P 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 1423
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1423
100.0%
Space Separator
ValueCountFrequency (%)
1186
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44429
87.0%
Common 6638
 
13.0%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
와 5220
11.7%
스 3618
 
8.1%
멘 3573
 
8.0%
세 3559
 
8.0%
라 3318
 
7.5%
즙 3119
 
7.0%
브 3111
 
7.0%
기 2572
 
5.8%
평 2113
 
4.8%
트 1693
 
3.8%
Other values (179) 12533
28.2%
Common
ValueCountFrequency (%)
) 1423
21.4%
( 1423
21.4%
1186
17.9%
, 1149
17.3%
. 259
 
3.9%
: 188
 
2.8%
2 148
 
2.2%
1 124
 
1.9%
0 117
 
1.8%
8 99
 
1.5%
Other values (9) 522
 
7.9%
Latin
ValueCountFrequency (%)
R 1
25.0%
F 1
25.0%
S 1
25.0%
P 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44429
87.0%
ASCII 6635
 
13.0%
CJK Compat 7
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
와 5220
11.7%
스 3618
 
8.1%
멘 3573
 
8.0%
세 3559
 
8.0%
라 3318
 
7.5%
즙 3119
 
7.0%
브 3111
 
7.0%
기 2572
 
5.8%
평 2113
 
4.8%
트 1693
 
3.8%
Other values (179) 12533
28.2%
ASCII
ValueCountFrequency (%)
) 1423
21.4%
( 1423
21.4%
1186
17.9%
, 1149
17.3%
. 259
 
3.9%
: 188
 
2.8%
2 148
 
2.2%
1 124
 
1.9%
0 117
 
1.8%
8 99
 
1.5%
Other values (12) 519
 
7.8%
CJK Compat
ValueCountFrequency (%)
㎡ 7
100.0%

건축_면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct2987
Distinct (%)29.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.12544
Minimum0
Maximum77014
Zeros6591
Zeros (%)65.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T22:08:25.487539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q366.8175
95-th percentile540.11554
Maximum77014
Range77014
Interquartile range (IQR)66.8175

Descriptive statistics

Standard deviation1080.3481
Coefficient of variation (CV)8.5656632
Kurtosis2738.7272
Mean126.12544
Median Absolute Deviation (MAD)0
Skewness44.403102
Sum1261254.4
Variance1167151.9
MonotonicityNot monotonic
2024-05-03T22:08:26.003966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6591
65.9%
33.06 7
 
0.1%
11.59 7
 
0.1%
21.6 7
 
0.1%
82.78 6
 
0.1%
46.28 5
 
0.1%
64.79 5
 
0.1%
49.59 5
 
0.1%
169.28 5
 
0.1%
42.98 5
 
0.1%
Other values (2977) 3357
33.6%
ValueCountFrequency (%)
0.0 6591
65.9%
0.88 2
 
< 0.1%
2.4 1
 
< 0.1%
2.67 1
 
< 0.1%
4.0 1
 
< 0.1%
5.25 1
 
< 0.1%
5.4 1
 
< 0.1%
6.0 1
 
< 0.1%
6.06 1
 
< 0.1%
6.5 1
 
< 0.1%
ValueCountFrequency (%)
77014.0 1
< 0.1%
25664.58 2
< 0.1%
25639.58 1
< 0.1%
25499.28 1
< 0.1%
24051.64 1
< 0.1%
19430.3 1
< 0.1%
17006.39 1
< 0.1%
14222.78 1
< 0.1%
12476.15 2
< 0.1%
11416.95 2
< 0.1%

연면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct7389
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean839.72368
Minimum0
Maximum274056.67
Zeros110
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T22:08:26.474862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile22.14
Q146.775
median103.085
Q3266.2925
95-th percentile3871.3865
Maximum274056.67
Range274056.67
Interquartile range (IQR)219.5175

Descriptive statistics

Standard deviation4682.1879
Coefficient of variation (CV)5.5758674
Kurtosis1270.2821
Mean839.72368
Median Absolute Deviation (MAD)69.165
Skewness27.24035
Sum8397236.8
Variance21922884
MonotonicityNot monotonic
2024-05-03T22:08:26.794308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 110
 
1.1%
39.67 78
 
0.8%
33.06 63
 
0.6%
23.14 55
 
0.5%
36.36 53
 
0.5%
46.28 53
 
0.5%
42.98 49
 
0.5%
49.59 46
 
0.5%
26.45 43
 
0.4%
29.75 38
 
0.4%
Other values (7379) 9412
94.1%
ValueCountFrequency (%)
0.0 110
1.1%
0.14 1
 
< 0.1%
0.88 2
 
< 0.1%
1.0 1
 
< 0.1%
2.0 1
 
< 0.1%
2.2601 1
 
< 0.1%
2.4 1
 
< 0.1%
2.67 3
 
< 0.1%
2.7 1
 
< 0.1%
2.74 1
 
< 0.1%
ValueCountFrequency (%)
274056.67 1
< 0.1%
99997.8 1
< 0.1%
99157.71 1
< 0.1%
89465.49 1
< 0.1%
85402.94 1
< 0.1%
77210.7406 1
< 0.1%
73405.85 1
< 0.1%
70144.02 1
< 0.1%
68785.9 1
< 0.1%
66648.73 1
< 0.1%

용적_율_산정_연면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct2851
Distinct (%)28.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean527.19168
Minimum0
Maximum198329
Zeros6888
Zeros (%)68.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T22:08:27.296745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q387.8125
95-th percentile2423.336
Maximum198329
Range198329
Interquartile range (IQR)87.8125

Descriptive statistics

Standard deviation3524.7499
Coefficient of variation (CV)6.6858982
Kurtosis1395.9406
Mean527.19168
Median Absolute Deviation (MAD)0
Skewness30.202295
Sum5271916.8
Variance12423862
MonotonicityNot monotonic
2024-05-03T22:08:27.788486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6888
68.9%
33.06 10
 
0.1%
11.59 7
 
0.1%
21.6 7
 
0.1%
72.0 6
 
0.1%
42.98 6
 
0.1%
659.87 5
 
0.1%
104.0 5
 
0.1%
36.36 5
 
0.1%
29.75 5
 
0.1%
Other values (2841) 3056
30.6%
ValueCountFrequency (%)
0.0 6888
68.9%
0.88 2
 
< 0.1%
2.4 1
 
< 0.1%
2.67 1
 
< 0.1%
4.0 1
 
< 0.1%
5.25 1
 
< 0.1%
5.4 1
 
< 0.1%
6.0 1
 
< 0.1%
6.61 1
 
< 0.1%
7.29 1
 
< 0.1%
ValueCountFrequency (%)
198329.0 1
< 0.1%
152769.9 1
< 0.1%
66320.25 1
< 0.1%
63171.94 1
< 0.1%
55607.33 1
< 0.1%
50876.88 1
< 0.1%
50371.87 1
< 0.1%
45666.44 2
< 0.1%
45641.44 1
< 0.1%
45501.14 1
< 0.1%

높이
Real number (ℝ)

ZEROS 

Distinct783
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1908229
Minimum0
Maximum144.85
Zeros7391
Zeros (%)73.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T22:08:28.260463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.6
95-th percentile20.9
Maximum144.85
Range144.85
Interquartile range (IQR)3.6

Descriptive statistics

Standard deviation10.470105
Coefficient of variation (CV)2.4983411
Kurtosis25.728494
Mean4.1908229
Median Absolute Deviation (MAD)0
Skewness4.3226548
Sum41908.229
Variance109.6231
MonotonicityNot monotonic
2024-05-03T22:08:28.714566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7391
73.9%
7.6 140
 
1.4%
10.2 67
 
0.7%
7.5 55
 
0.5%
7.8 45
 
0.4%
6.5 30
 
0.3%
9.1 29
 
0.3%
7.9 25
 
0.2%
7.2 24
 
0.2%
7.3 20
 
0.2%
Other values (773) 2174
 
21.7%
ValueCountFrequency (%)
0.0 7391
73.9%
1.32 1
 
< 0.1%
1.51 1
 
< 0.1%
2.4 2
 
< 0.1%
2.6 5
 
0.1%
2.65 2
 
< 0.1%
2.7 6
 
0.1%
2.8 2
 
< 0.1%
2.85 3
 
< 0.1%
2.9 1
 
< 0.1%
ValueCountFrequency (%)
144.85 1
< 0.1%
120.0 1
< 0.1%
106.85 1
< 0.1%
101.05 2
< 0.1%
100.95 1
< 0.1%
100.0 1
< 0.1%
99.99 1
< 0.1%
99.8 1
< 0.1%
99.08 1
< 0.1%
95.8 1
< 0.1%

대지_면적
Real number (ℝ)

ZEROS 

Distinct1913
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4248.9134
Minimum0
Maximum1457789
Zeros6874
Zeros (%)68.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T22:08:29.244097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q373.6875
95-th percentile620.245
Maximum1457789
Range1457789
Interquartile range (IQR)73.6875

Descriptive statistics

Standard deviation64735.57
Coefficient of variation (CV)15.235794
Kurtosis414.98414
Mean4248.9134
Median Absolute Deviation (MAD)0
Skewness19.822655
Sum42489134
Variance4.190694 × 109
MonotonicityNot monotonic
2024-05-03T22:08:29.876682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6874
68.7%
66.0 34
 
0.3%
330.0 28
 
0.3%
63.0 28
 
0.3%
60.0 25
 
0.2%
76.0 25
 
0.2%
99.0 25
 
0.2%
345690.0 23
 
0.2%
79.0 22
 
0.2%
116.0 22
 
0.2%
Other values (1903) 2894
28.9%
ValueCountFrequency (%)
0.0 6874
68.7%
10.82 1
 
< 0.1%
11.0 1
 
< 0.1%
16.0 1
 
< 0.1%
16.86 1
 
< 0.1%
16.87 1
 
< 0.1%
19.0 1
 
< 0.1%
19.8 4
 
< 0.1%
20.0 5
 
0.1%
22.0 1
 
< 0.1%
ValueCountFrequency (%)
1457789.0 10
0.1%
1301355.0 10
0.1%
347971.0 4
 
< 0.1%
345690.0 23
0.2%
342874.0 1
 
< 0.1%
276970.9 2
 
< 0.1%
270600.0 1
 
< 0.1%
270595.0 1
 
< 0.1%
262926.0 1
 
< 0.1%
171694.0 1
 
< 0.1%

건폐_율
Real number (ℝ)

ZEROS 

Distinct1257
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.732254
Minimum0
Maximum119.85
Zeros7865
Zeros (%)78.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T22:08:30.326900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile59.6905
Maximum119.85
Range119.85
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21.908255
Coefficient of variation (CV)2.0413471
Kurtosis1.0495619
Mean10.732254
Median Absolute Deviation (MAD)0
Skewness1.6682782
Sum107322.54
Variance479.97164
MonotonicityNot monotonic
2024-05-03T22:08:30.746705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7865
78.6%
59.86 22
 
0.2%
59.88 18
 
0.2%
59.98 18
 
0.2%
59.97 17
 
0.2%
59.92 16
 
0.2%
59.87 15
 
0.1%
59.95 15
 
0.1%
59.94 13
 
0.1%
59.85 13
 
0.1%
Other values (1247) 1988
 
19.9%
ValueCountFrequency (%)
0.0 7865
78.6%
0.0024139 1
 
< 0.1%
0.0030923 2
 
< 0.1%
0.0042255 1
 
< 0.1%
0.01 7
 
0.1%
0.02 9
 
0.1%
0.0257341 1
 
< 0.1%
0.03 4
 
< 0.1%
0.033677 1
 
< 0.1%
0.04 1
 
< 0.1%
ValueCountFrequency (%)
119.85 1
 
< 0.1%
100.0 3
< 0.1%
99.07 1
 
< 0.1%
95.87 1
 
< 0.1%
95.71 1
 
< 0.1%
92.11 1
 
< 0.1%
91.43 1
 
< 0.1%
90.85 1
 
< 0.1%
90.0 1
 
< 0.1%
89.9 1
 
< 0.1%

용적_율
Real number (ℝ)

ZEROS 

Distinct1946
Distinct (%)19.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.945158
Minimum0
Maximum885.09
Zeros7858
Zeros (%)78.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T22:08:31.132797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile196.233
Maximum885.09
Range885.09
Interquartile range (IQR)0

Descriptive statistics

Standard deviation78.810134
Coefficient of variation (CV)2.4670448
Kurtosis20.723533
Mean31.945158
Median Absolute Deviation (MAD)0
Skewness3.7111022
Sum319451.58
Variance6211.0372
MonotonicityNot monotonic
2024-05-03T22:08:31.541133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7858
78.6%
0.01 8
 
0.1%
0.02 8
 
0.1%
9.97 5
 
0.1%
0.03 5
 
0.1%
149.57 4
 
< 0.1%
192.33 4
 
< 0.1%
199.68 4
 
< 0.1%
99.72 4
 
< 0.1%
99.76 3
 
< 0.1%
Other values (1936) 2097
 
21.0%
ValueCountFrequency (%)
0.0 7858
78.6%
0.01 8
 
0.1%
0.02 8
 
0.1%
0.03 5
 
0.1%
0.04 1
 
< 0.1%
0.05 1
 
< 0.1%
0.06 1
 
< 0.1%
0.0707 1
 
< 0.1%
0.09 1
 
< 0.1%
0.12 1
 
< 0.1%
ValueCountFrequency (%)
885.09 1
< 0.1%
880.27 1
< 0.1%
856.15 1
< 0.1%
851.64 1
< 0.1%
826.99 1
< 0.1%
802.74 1
< 0.1%
790.11 1
< 0.1%
789.5 1
< 0.1%
787.82 1
< 0.1%
787.1581 1
< 0.1%

지상_층_수
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2649
Minimum0
Maximum38
Zeros213
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T22:08:31.916513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile6
Maximum38
Range38
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.0008046
Coefficient of variation (CV)1.3249171
Kurtosis31.541867
Mean2.2649
Median Absolute Deviation (MAD)0
Skewness4.8971025
Sum22649
Variance9.0048285
MonotonicityNot monotonic
2024-05-03T22:08:32.424462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
1 5353
53.5%
2 2352
23.5%
3 715
 
7.1%
4 453
 
4.5%
5 299
 
3.0%
0 213
 
2.1%
6 156
 
1.6%
15 62
 
0.6%
7 55
 
0.5%
10 52
 
0.5%
Other values (27) 290
 
2.9%
ValueCountFrequency (%)
0 213
 
2.1%
1 5353
53.5%
2 2352
23.5%
3 715
 
7.1%
4 453
 
4.5%
5 299
 
3.0%
6 156
 
1.6%
7 55
 
0.5%
8 39
 
0.4%
9 33
 
0.3%
ValueCountFrequency (%)
38 1
 
< 0.1%
36 1
 
< 0.1%
35 1
 
< 0.1%
34 1
 
< 0.1%
33 2
 
< 0.1%
32 2
 
< 0.1%
31 1
 
< 0.1%
30 1
 
< 0.1%
29 3
< 0.1%
28 5
0.1%

지하_층_수
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5129
Minimum0
Maximum8
Zeros5433
Zeros (%)54.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T22:08:32.863761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.66744149
Coefficient of variation (CV)1.3013092
Kurtosis15.200287
Mean0.5129
Median Absolute Deviation (MAD)0
Skewness2.4477902
Sum5129
Variance0.44547814
MonotonicityNot monotonic
2024-05-03T22:08:33.224442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 5433
54.3%
1 4229
42.3%
2 220
 
2.2%
3 62
 
0.6%
4 28
 
0.3%
5 17
 
0.2%
7 5
 
0.1%
6 3
 
< 0.1%
8 3
 
< 0.1%
ValueCountFrequency (%)
0 5433
54.3%
1 4229
42.3%
2 220
 
2.2%
3 62
 
0.6%
4 28
 
0.3%
5 17
 
0.2%
6 3
 
< 0.1%
7 5
 
0.1%
8 3
 
< 0.1%
ValueCountFrequency (%)
8 3
 
< 0.1%
7 5
 
0.1%
6 3
 
< 0.1%
5 17
 
0.2%
4 28
 
0.3%
3 62
 
0.6%
2 220
 
2.2%
1 4229
42.3%
0 5433
54.3%

승용_승강기_수
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1147
Minimum0
Maximum26
Zeros9307
Zeros (%)93.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T22:08:33.718591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum26
Range26
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.65344212
Coefficient of variation (CV)5.6969671
Kurtosis494.44323
Mean0.1147
Median Absolute Deviation (MAD)0
Skewness17.451425
Sum1147
Variance0.42698661
MonotonicityNot monotonic
2024-05-03T22:08:34.135309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 9307
93.1%
1 480
 
4.8%
2 133
 
1.3%
3 42
 
0.4%
4 16
 
0.2%
5 6
 
0.1%
6 4
 
< 0.1%
12 2
 
< 0.1%
7 2
 
< 0.1%
8 2
 
< 0.1%
Other values (6) 6
 
0.1%
ValueCountFrequency (%)
0 9307
93.1%
1 480
 
4.8%
2 133
 
1.3%
3 42
 
0.4%
4 16
 
0.2%
5 6
 
0.1%
6 4
 
< 0.1%
7 2
 
< 0.1%
8 2
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
26 1
 
< 0.1%
20 1
 
< 0.1%
19 1
 
< 0.1%
17 1
 
< 0.1%
12 2
< 0.1%
11 1
 
< 0.1%
10 1
 
< 0.1%
8 2
< 0.1%
7 2
< 0.1%
6 4
< 0.1%

비상용_승강기_수
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0505
Minimum0
Maximum10
Zeros9756
Zeros (%)97.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T22:08:34.471562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.36161143
Coefficient of variation (CV)7.1606224
Kurtosis148.22496
Mean0.0505
Median Absolute Deviation (MAD)0
Skewness10.064546
Sum505
Variance0.13076283
MonotonicityNot monotonic
2024-05-03T22:08:34.770919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 9756
97.6%
2 147
 
1.5%
1 57
 
0.6%
3 25
 
0.2%
4 8
 
0.1%
5 2
 
< 0.1%
6 2
 
< 0.1%
7 1
 
< 0.1%
10 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
0 9756
97.6%
1 57
 
0.6%
2 147
 
1.5%
3 25
 
0.2%
4 8
 
0.1%
5 2
 
< 0.1%
6 2
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
10 1
 
< 0.1%
8 1
 
< 0.1%
7 1
 
< 0.1%
6 2
 
< 0.1%
5 2
 
< 0.1%
4 8
 
0.1%
3 25
 
0.2%
2 147
 
1.5%
1 57
 
0.6%
0 9756
97.6%

부속_건축물_수
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.141
Minimum0
Maximum23
Zeros9399
Zeros (%)94.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T22:08:35.043734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum23
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0591653
Coefficient of variation (CV)7.5118108
Kurtosis234.16177
Mean0.141
Median Absolute Deviation (MAD)0
Skewness13.98235
Sum1410
Variance1.1218312
MonotonicityNot monotonic
2024-05-03T22:08:35.395908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 9399
94.0%
1 459
 
4.6%
2 46
 
0.5%
5 16
 
0.2%
6 13
 
0.1%
15 12
 
0.1%
3 11
 
0.1%
4 10
 
0.1%
14 9
 
0.1%
23 7
 
0.1%
Other values (4) 18
 
0.2%
ValueCountFrequency (%)
0 9399
94.0%
1 459
 
4.6%
2 46
 
0.5%
3 11
 
0.1%
4 10
 
0.1%
5 16
 
0.2%
6 13
 
0.1%
7 4
 
< 0.1%
8 5
 
0.1%
10 6
 
0.1%
ValueCountFrequency (%)
23 7
0.1%
15 12
0.1%
14 9
0.1%
11 3
 
< 0.1%
10 6
 
0.1%
8 5
 
0.1%
7 4
 
< 0.1%
6 13
0.1%
5 16
0.2%
4 10
0.1%

부속_건축물_면적
Real number (ℝ)

ZEROS 

Distinct318
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135.83531
Minimum0
Maximum49851.8
Zeros9413
Zeros (%)94.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T22:08:35.785613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.56
Maximum49851.8
Range49851.8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1654.8765
Coefficient of variation (CV)12.182963
Kurtosis234.04385
Mean135.83531
Median Absolute Deviation (MAD)0
Skewness14.272843
Sum1358353.1
Variance2738616.2
MonotonicityNot monotonic
2024-05-03T22:08:36.210416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9413
94.1%
1.0 30
 
0.3%
3.31 24
 
0.2%
4.4 12
 
0.1%
6.61 10
 
0.1%
4.96 9
 
0.1%
14877.31 9
 
0.1%
2540.28 8
 
0.1%
1.2 8
 
0.1%
1.44 8
 
0.1%
Other values (308) 469
 
4.7%
ValueCountFrequency (%)
0.0 9413
94.1%
0.35 1
 
< 0.1%
0.36 1
 
< 0.1%
0.42 2
 
< 0.1%
0.56 2
 
< 0.1%
0.64 2
 
< 0.1%
0.68 1
 
< 0.1%
0.7 2
 
< 0.1%
0.8 1
 
< 0.1%
0.81 1
 
< 0.1%
ValueCountFrequency (%)
49851.8 1
 
< 0.1%
26759.65 2
 
< 0.1%
26120.7175 5
0.1%
25444.03 6
0.1%
23474.87 5
0.1%
21451.71 3
< 0.1%
21374.66 7
0.1%
20306.6847 7
0.1%
16838.338 6
0.1%
15566.07 1
 
< 0.1%

옥내_자주식_대수
Real number (ℝ)

SKEWED  ZEROS 

Distinct103
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9823
Minimum0
Maximum2012
Zeros9336
Zeros (%)93.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T22:08:36.587199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum2012
Range2012
Interquartile range (IQR)0

Descriptive statistics

Standard deviation45.217382
Coefficient of variation (CV)15.161916
Kurtosis1111.2041
Mean2.9823
Median Absolute Deviation (MAD)0
Skewness30.253582
Sum29823
Variance2044.6116
MonotonicityNot monotonic
2024-05-03T22:08:37.043807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9336
93.4%
1 114
 
1.1%
2 107
 
1.1%
4 72
 
0.7%
3 39
 
0.4%
5 34
 
0.3%
7 28
 
0.3%
6 22
 
0.2%
8 22
 
0.2%
14 9
 
0.1%
Other values (93) 217
 
2.2%
ValueCountFrequency (%)
0 9336
93.4%
1 114
 
1.1%
2 107
 
1.1%
3 39
 
0.4%
4 72
 
0.7%
5 34
 
0.3%
6 22
 
0.2%
7 28
 
0.3%
8 22
 
0.2%
9 4
 
< 0.1%
ValueCountFrequency (%)
2012 1
 
< 0.1%
1746 1
 
< 0.1%
1740 2
 
< 0.1%
1040 1
 
< 0.1%
771 1
 
< 0.1%
760 1
 
< 0.1%
731 1
 
< 0.1%
518 1
 
< 0.1%
503 1
 
< 0.1%
457 9
0.1%

옥내_자주식_면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct458
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.495568
Minimum0
Maximum103947.72
Zeros9454
Zeros (%)94.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T22:08:37.611144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile16.318
Maximum103947.72
Range103947.72
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1621.8688
Coefficient of variation (CV)18.122337
Kurtosis2178.386
Mean89.495568
Median Absolute Deviation (MAD)0
Skewness40.515478
Sum894955.68
Variance2630458.5
MonotonicityNot monotonic
2024-05-03T22:08:37.879005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9454
94.5%
23.0 11
 
0.1%
22335.03 9
 
0.1%
34.5 8
 
0.1%
57.5 5
 
0.1%
11.5 5
 
0.1%
531.34 5
 
0.1%
9025.276 5
 
0.1%
46.0 5
 
0.1%
92.0 4
 
< 0.1%
Other values (448) 489
 
4.9%
ValueCountFrequency (%)
0.0 9454
94.5%
7.43 1
 
< 0.1%
7.5 1
 
< 0.1%
7.56 1
 
< 0.1%
8.9 1
 
< 0.1%
9.88 1
 
< 0.1%
9.91 1
 
< 0.1%
10.08 1
 
< 0.1%
10.5 1
 
< 0.1%
11.18 1
 
< 0.1%
ValueCountFrequency (%)
103947.72 1
 
< 0.1%
73958.67 1
 
< 0.1%
32368.0 1
 
< 0.1%
27951.27 1
 
< 0.1%
22720.16 1
 
< 0.1%
22335.03 9
0.1%
19736.53 1
 
< 0.1%
18568.55 1
 
< 0.1%
16761.21 1
 
< 0.1%
13435.82 1
 
< 0.1%

옥외_자주식_대수
Real number (ℝ)

SKEWED  ZEROS 

Distinct61
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9892
Minimum0
Maximum1350
Zeros8946
Zeros (%)89.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T22:08:38.145646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum1350
Range1350
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.216466
Coefficient of variation (CV)16.393516
Kurtosis4933.035
Mean0.9892
Median Absolute Deviation (MAD)0
Skewness63.301632
Sum9892
Variance262.97378
MonotonicityNot monotonic
2024-05-03T22:08:38.558562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8946
89.5%
2 259
 
2.6%
1 208
 
2.1%
4 137
 
1.4%
3 124
 
1.2%
5 83
 
0.8%
6 47
 
0.5%
8 35
 
0.4%
7 23
 
0.2%
9 15
 
0.1%
Other values (51) 123
 
1.2%
ValueCountFrequency (%)
0 8946
89.5%
1 208
 
2.1%
2 259
 
2.6%
3 124
 
1.2%
4 137
 
1.4%
5 83
 
0.8%
6 47
 
0.5%
7 23
 
0.2%
8 35
 
0.4%
9 15
 
0.1%
ValueCountFrequency (%)
1350 1
 
< 0.1%
516 1
 
< 0.1%
338 1
 
< 0.1%
324 1
 
< 0.1%
225 1
 
< 0.1%
163 2
 
< 0.1%
111 1
 
< 0.1%
110 2
 
< 0.1%
102 1
 
< 0.1%
98 5
0.1%

옥외_자주식_면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct139
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.442358
Minimum0
Maximum25975.2
Zeros9390
Zeros (%)93.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T22:08:38.978311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile12
Maximum25975.2
Range25975.2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation521.56681
Coefficient of variation (CV)33.775076
Kurtosis2453.5251
Mean15.442358
Median Absolute Deviation (MAD)0
Skewness49.34871
Sum154423.58
Variance272031.94
MonotonicityNot monotonic
2024-05-03T22:08:39.421692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9390
93.9%
23.0 125
 
1.2%
11.5 94
 
0.9%
46.0 60
 
0.6%
34.5 45
 
0.4%
57.5 33
 
0.3%
12.0 14
 
0.1%
35.0 12
 
0.1%
80.5 9
 
0.1%
69.0 8
 
0.1%
Other values (129) 210
 
2.1%
ValueCountFrequency (%)
0.0 9390
93.9%
2.3 1
 
< 0.1%
3.0 1
 
< 0.1%
3.09 1
 
< 0.1%
11.5 94
 
0.9%
12.0 14
 
0.1%
12.5 1
 
< 0.1%
13.75 2
 
< 0.1%
15.0 3
 
< 0.1%
16.5 4
 
< 0.1%
ValueCountFrequency (%)
25975.2 1
 
< 0.1%
25975.0 3
< 0.1%
1250.0 2
 
< 0.1%
1155.5 5
0.1%
920.0 3
< 0.1%
878.9 1
 
< 0.1%
834.9 2
 
< 0.1%
805.5 1
 
< 0.1%
785.0 1
 
< 0.1%
759.0 1
 
< 0.1%

옥내_기계식_대수
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3416
Minimum0
Maximum146
Zeros9900
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T22:08:39.886781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum146
Range146
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.5594724
Coefficient of variation (CV)13.347402
Kurtosis394.77687
Mean0.3416
Median Absolute Deviation (MAD)0
Skewness18.099577
Sum3416
Variance20.788788
MonotonicityNot monotonic
2024-05-03T22:08:40.181729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 9900
99.0%
64 9
 
0.1%
12 8
 
0.1%
8 6
 
0.1%
2 5
 
0.1%
20 4
 
< 0.1%
40 4
 
< 0.1%
60 4
 
< 0.1%
30 4
 
< 0.1%
9 4
 
< 0.1%
Other values (36) 52
 
0.5%
ValueCountFrequency (%)
0 9900
99.0%
2 5
 
0.1%
4 1
 
< 0.1%
5 2
 
< 0.1%
6 3
 
< 0.1%
7 3
 
< 0.1%
8 6
 
0.1%
9 4
 
< 0.1%
11 3
 
< 0.1%
12 8
 
0.1%
ValueCountFrequency (%)
146 1
< 0.1%
140 1
< 0.1%
112 1
< 0.1%
110 1
< 0.1%
101 1
< 0.1%
89 1
< 0.1%
80 1
< 0.1%
76 2
< 0.1%
72 1
< 0.1%
68 1
< 0.1%

옥내_기계식_면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct59
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6941233
Minimum0
Maximum3056.64
Zeros9933
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T22:08:40.533705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3056.64
Range3056.64
Interquartile range (IQR)0

Descriptive statistics

Standard deviation57.006655
Coefficient of variation (CV)21.159631
Kurtosis1300.5451
Mean2.6941233
Median Absolute Deviation (MAD)0
Skewness32.448722
Sum26941.233
Variance3249.7587
MonotonicityNot monotonic
2024-05-03T22:08:40.960689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9933
99.3%
1140.69 9
 
0.1%
511.0 2
 
< 0.1%
318.26 1
 
< 0.1%
159.6 1
 
< 0.1%
195.61 1
 
< 0.1%
97.68 1
 
< 0.1%
82.03 1
 
< 0.1%
48.51 1
 
< 0.1%
138.64 1
 
< 0.1%
Other values (49) 49
 
0.5%
ValueCountFrequency (%)
0.0 9933
99.3%
23.31 1
 
< 0.1%
34.45 1
 
< 0.1%
39.56 1
 
< 0.1%
40.03 1
 
< 0.1%
45.88 1
 
< 0.1%
46.08 1
 
< 0.1%
47.25 1
 
< 0.1%
48.0 1
 
< 0.1%
48.51 1
 
< 0.1%
ValueCountFrequency (%)
3056.64 1
 
< 0.1%
2216.969 1
 
< 0.1%
1800.1 1
 
< 0.1%
1140.69 9
0.1%
787.5 1
 
< 0.1%
667.0 1
 
< 0.1%
662.534 1
 
< 0.1%
511.0 2
 
< 0.1%
431.38 1
 
< 0.1%
400.28 1
 
< 0.1%

옥외_기계식_대수
Real number (ℝ)

SKEWED  ZEROS 

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0259
Minimum0
Maximum64
Zeros9978
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T22:08:41.317350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum64
Range64
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.95891665
Coefficient of variation (CV)37.023809
Kurtosis3574.1062
Mean0.0259
Median Absolute Deviation (MAD)0
Skewness57.022127
Sum259
Variance0.91952114
MonotonicityNot monotonic
2024-05-03T22:08:41.514446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 9978
99.8%
2 6
 
0.1%
8 5
 
0.1%
7 3
 
< 0.1%
6 2
 
< 0.1%
60 1
 
< 0.1%
15 1
 
< 0.1%
4 1
 
< 0.1%
64 1
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
0 9978
99.8%
2 6
 
0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
6 2
 
< 0.1%
7 3
 
< 0.1%
8 5
 
0.1%
15 1
 
< 0.1%
26 1
 
< 0.1%
60 1
 
< 0.1%
ValueCountFrequency (%)
64 1
 
< 0.1%
60 1
 
< 0.1%
26 1
 
< 0.1%
15 1
 
< 0.1%
8 5
0.1%
7 3
< 0.1%
6 2
 
< 0.1%
5 1
 
< 0.1%
4 1
 
< 0.1%
2 6
0.1%

옥외_기계식_면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.032668
Minimum0
Maximum48
Zeros9991
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T22:08:41.751102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum48
Range48
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1039072
Coefficient of variation (CV)33.7917
Kurtosis1240.8656
Mean0.032668
Median Absolute Deviation (MAD)0
Skewness34.753996
Sum326.68
Variance1.2186112
MonotonicityNot monotonic
2024-05-03T22:08:41.951465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 9991
99.9%
30.0 2
 
< 0.1%
43.07 1
 
< 0.1%
32.34 1
 
< 0.1%
48.0 1
 
< 0.1%
41.82 1
 
< 0.1%
31.2 1
 
< 0.1%
35.75 1
 
< 0.1%
34.5 1
 
< 0.1%
ValueCountFrequency (%)
0.0 9991
99.9%
30.0 2
 
< 0.1%
31.2 1
 
< 0.1%
32.34 1
 
< 0.1%
34.5 1
 
< 0.1%
35.75 1
 
< 0.1%
41.82 1
 
< 0.1%
43.07 1
 
< 0.1%
48.0 1
 
< 0.1%
ValueCountFrequency (%)
48.0 1
 
< 0.1%
43.07 1
 
< 0.1%
41.82 1
 
< 0.1%
35.75 1
 
< 0.1%
34.5 1
 
< 0.1%
32.34 1
 
< 0.1%
31.2 1
 
< 0.1%
30.0 2
 
< 0.1%
0.0 9991
99.9%

허가_일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6790
Missing (%)67.9%
Memory size156.2 KiB

착공_일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7503
Missing (%)75.0%
Memory size156.2 KiB

사용승인_일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1091
Missing (%)10.9%
Memory size156.2 KiB

Sample

관리_폐쇄말소대장_PK주_부속_구분_코드양성화_여부동명칭주_용도_코드기타_용도세대_수가구_수구조_코드기타_구조지붕_코드기타_지붕건축_면적연면적용적_율_산정_연면적높이대지_면적건폐_율용적_율지상_층_수지하_층_수승용_승강기_수비상용_승강기_수부속_건축물_수부속_건축물_면적옥내_자주식_대수옥내_자주식_면적옥외_자주식_대수옥외_자주식_면적옥내_기계식_대수옥내_기계식_면적옥외_기계식_대수옥외_기계식_면적허가_일착공_일사용승인_일
1281211590-100266044주건축물0제카호제1종근린생활시설화장실00벽돌구조연와조(철근)콘크리트슬래브지붕97.5297.5297.520.00.00.020.02100000.000.000.000.000.019870601NaN19870823.0
1418611170-1000000000000003292364주건축물0<NA>단독주택주택01일반목구조목조기와와즙75.2175.2175.210.00.00.00.0100000.000.000.000.000.0NaNNaNNaN
2511611305-5077주건축물0<NA>단독주택주택00블록구조세멘부록조기와와즙0.043.640.00.00.00.00.0100000.000.000.000.000.0NaNNaN19641008
2215211290-16908주건축물0<NA>단독주택주택00벽돌구조연와조기와세멘기와0.0129.160.00.00.00.00.0210000.000.000.000.000.0NaNNaNNaN
421811215-100194536주건축물0<NA>단독주택다가구용단독주택(6가구)06철근콘크리트구조철근콘크리트연와조(철근)콘크리트평스라브139.08532.58395.1210.3250.555.52157.73310000.000.0446.000.000.0199610011997110619980425.0
319311170-100324367주건축물0<NA>제2종근린생활시설제2종근린생활시설00철근콘크리트구조철근콘크리트구조(철근)콘크리트평스라브168.82594.36431.4215.17288.058.62149.8411000.000.0451.500.000.0201703312017091420180828.0
1917911290-11819주건축물0<NA><NA>주택00목구조목조기와세멘기와0.030.680.00.00.00.00.0100000.000.000.000.000.0NaNNaN19611120
811911650-100744186부속건축물0빗물저류조공동주택빗물저류조00철근콘크리트구조철근콘크리트구조(철근)콘크리트(철근)콘크리트0.0438.580.06.60.00.00.0010000.000.000.000.000.0201305132013061720141219.0
2275311290-17281주건축물0<NA>단독주택주택00블록구조세멘부록기와세멘기와0.048.830.00.00.00.00.0100012.2800.000.000.000.0NaNNaN19650821
1216311200-20309주건축물0<NA>단독주택주택 제2종근린생활시설01벽돌구조연와조(철근)콘크리트슬라브0.047.110.00.00.00.00.0100000.000.000.000.000.0NaNNaN19750621.0
관리_폐쇄말소대장_PK주_부속_구분_코드양성화_여부동명칭주_용도_코드기타_용도세대_수가구_수구조_코드기타_구조지붕_코드기타_지붕건축_면적연면적용적_율_산정_연면적높이대지_면적건폐_율용적_율지상_층_수지하_층_수승용_승강기_수비상용_승강기_수부속_건축물_수부속_건축물_면적옥내_자주식_대수옥내_자주식_면적옥외_자주식_대수옥외_자주식_면적옥내_기계식_대수옥내_기계식_면적옥외_기계식_대수옥외_기계식_면적허가_일착공_일사용승인_일
1711911290-13275주건축물0<NA>단독주택주택, 근린생활시설01블록구조세멘부록기와세멘기와, 스레트즙0.060.440.00.092.00.00.0100000.000.000.000.000.0NaNNaN19831006
2069411290-14996주건축물0<NA><NA>근린생활시설외 100철근콘크리트구조철근콘크리트조(철근)콘크리트슬라브128.38595.470.011.6260.9749.19190.25410000.0264.19223.000.000.019850501.0NaN19851030
2802111305-627주건축물0<NA><NA>단독주택00벽돌구조연와조기와세멘와즙0.090.120.00.00.00.00.0110000.000.000.000.000.0NaNNaN19700704
477111110-2309주건축물0<NA>제1종근린생활시설영업용01벽돌구조연와조기와와즙0.031.740.00.00.00.00.0100000.000.000.000.000.0NaNNaNNaN
2206911290-16047주건축물0<NA>단독주택주택00벽돌구조연와조(철근)콘크리트스라브0.0162.350.00.00.00.00.0200000.000.000.000.000.0NaNNaN19741123
528511680-1000000000000003439401주건축물0금남자동차공업소(주)자동차관련시설자동차관련시설00일반철골구조일반철골구조기타지붕테크플레이트(평스라브)318.021212.81212.823.5536.459.29226.1600000.0334.5334.500.000.0201309232013100420140204.0
691611380-100308343주건축물0<NA>단독주택단독주택00일반목구조일반목구조(경량목구조)기타지붕기타지붕(경량목구조)89.45149.69149.698.09230.038.8965.08200000.000.0111.500.000.0201812032018122720190716.0
1052811230-100489426주건축물0<NA>제2종근린생활시설사무소00철근콘크리트구조철근콘크리트구조(철근)콘크리트평스라브52.3198.09147.938.85111.946.74132.2310000.000.0112.500.000.0202010302021030920220412.0
547011440-1000000000000003508574주건축물0<NA>제2종근린생활시설근린생활시설00철근콘크리트구조철근콘크리트조,경량철골구조(철근)콘크리트평스라브69.12280.98212.2211.7116.059.59182.95410000.000.0223.000.000.0199604061996042419960930.0
341711170-100351494주건축물0군사법원업무시설업무시설00철근콘크리트구조철근콘크리트구조(철근)콘크리트박공(판넬)1257.65268.963716.760.00.00.00.0410000.0530.000.000.000.0200010202000110120040823.0