Overview

Dataset statistics

Number of variables30
Number of observations10000
Missing cells43
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 MiB
Average record size in memory271.0 B

Variable types

Text4
Categorical3
Numeric23

Dataset

Description건축물대장 관리번호,주용도 구분,기타 용도,세대수,가구수,구조 구분,기타 구조,지붕 구분,기타 지붕,건축 면적,연 면적,용적율 산정 연면적,높이,대지 면적,건폐율,용적율,지상층수,지하층수,승용 승강기수,비상용 승강기수,부속 건축물수,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
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15389/S/1/datasetView.do

Alerts

주용도 구분 is highly imbalanced (57.1%)Imbalance
구조 구분 is highly imbalanced (62.5%)Imbalance
지붕 구분 is highly imbalanced (60.6%)Imbalance
가구수 is highly skewed (γ1 = 23.08232578)Skewed
건축 면적(㎡) is highly skewed (γ1 = 38.06802604)Skewed
연 면적(㎡) is highly skewed (γ1 = 21.39388368)Skewed
대지 면적(㎡) is highly skewed (γ1 = 51.47055654)Skewed
승용 승강기수 is highly skewed (γ1 = 45.75387817)Skewed
부속 건축물수 is highly skewed (γ1 = 21.03826677)Skewed
옥내 자주식 대수 is highly skewed (γ1 = 49.17870874)Skewed
옥내 자주식 면적(㎡) is highly skewed (γ1 = 45.38858454)Skewed
옥외 자주식 대수 is highly skewed (γ1 = 30.61644719)Skewed
옥외 자주식 면적(㎡) is highly skewed (γ1 = 52.10225876)Skewed
옥내 기계식 면적(㎡) is highly skewed (γ1 = 48.50887558)Skewed
옥외 기계식 대수 is highly skewed (γ1 = 43.6397135)Skewed
옥외 기계식 면적(㎡) is highly skewed (γ1 = 63.75334546)Skewed
건축물대장 관리번호 has unique valuesUnique
세대수 has 7453 (74.5%) zerosZeros
가구수 has 4430 (44.3%) zerosZeros
건축 면적(㎡) has 1679 (16.8%) zerosZeros
용적율 산정 연면적(㎡) has 1706 (17.1%) zerosZeros
높이(m) has 4152 (41.5%) zerosZeros
대지 면적(㎡) has 4030 (40.3%) zerosZeros
건폐율(%) has 4207 (42.1%) zerosZeros
용적율(%) has 4192 (41.9%) zerosZeros
지하층수 has 3538 (35.4%) zerosZeros
승용 승강기수 has 8648 (86.5%) zerosZeros
비상용 승강기수 has 9722 (97.2%) zerosZeros
부속 건축물수 has 9687 (96.9%) zerosZeros
부속 건축물 면적(㎡) has 9690 (96.9%) zerosZeros
옥내 자주식 대수 has 7991 (79.9%) zerosZeros
옥내 자주식 면적(㎡) has 8346 (83.5%) zerosZeros
옥외 자주식 대수 has 6671 (66.7%) zerosZeros
옥외 자주식 면적(㎡) has 7946 (79.5%) zerosZeros
옥내 기계식 대수 has 9845 (98.5%) zerosZeros
옥내 기계식 면적(㎡) has 9882 (98.8%) zerosZeros
옥외 기계식 대수 has 9951 (99.5%) zerosZeros
옥외 기계식 면적(㎡) has 9972 (99.7%) zerosZeros

Reproduction

Analysis started2024-05-17 22:06:16.480315
Analysis finished2024-05-17 22:06:18.895829
Duration2.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건축물대장 관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T07:06:19.527522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length11
Mean length11.6605
Min length9

Characters and Unicode

Total characters116605
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 row11200-9393
2nd row11410-704
3rd row11305-100198861
4th row11200-18258
5th row11305-27270
ValueCountFrequency (%)
11200-9393 1
 
< 0.1%
11290-27604 1
 
< 0.1%
11650-3771 1
 
< 0.1%
11215-7325 1
 
< 0.1%
11170-7714 1
 
< 0.1%
11560-25451 1
 
< 0.1%
11290-6788 1
 
< 0.1%
11215-1226 1
 
< 0.1%
11200-19977 1
 
< 0.1%
11320-15750 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-05-18T07:06:20.917941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 31888
27.3%
0 19946
17.1%
2 10313
 
8.8%
- 10000
 
8.6%
5 9152
 
7.8%
3 7595
 
6.5%
4 6793
 
5.8%
6 5800
 
5.0%
9 5160
 
4.4%
7 5066
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 106605
91.4%
Dash Punctuation 10000
 
8.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 31888
29.9%
0 19946
18.7%
2 10313
 
9.7%
5 9152
 
8.6%
3 7595
 
7.1%
4 6793
 
6.4%
6 5800
 
5.4%
9 5160
 
4.8%
7 5066
 
4.8%
8 4892
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 116605
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 31888
27.3%
0 19946
17.1%
2 10313
 
8.8%
- 10000
 
8.6%
5 9152
 
7.8%
3 7595
 
6.5%
4 6793
 
5.8%
6 5800
 
5.0%
9 5160
 
4.4%
7 5066
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 116605
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 31888
27.3%
0 19946
17.1%
2 10313
 
8.8%
- 10000
 
8.6%
5 9152
 
7.8%
3 7595
 
6.5%
4 6793
 
5.8%
6 5800
 
5.0%
9 5160
 
4.4%
7 5066
 
4.3%

주용도 구분
Categorical

IMBALANCE 

Distinct32
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
단독주택
4879 
공동주택
2613 
제2종근린생활시설
972 
제1종근린생활시설
863 
업무시설
 
172
Other values (27)
501 

Length

Max length10
Median length4
Mean length4.9673
Min length2

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

1st row제2종근린생활시설
2nd row제1종근린생활시설
3rd row공동주택
4th row단독주택
5th row단독주택

Common Values

ValueCountFrequency (%)
단독주택 4879
48.8%
공동주택 2613
26.1%
제2종근린생활시설 972
 
9.7%
제1종근린생활시설 863
 
8.6%
업무시설 172
 
1.7%
교육연구시설 128
 
1.3%
노유자시설 52
 
0.5%
공장 50
 
0.5%
종교시설 43
 
0.4%
창고시설 37
 
0.4%
Other values (22) 191
 
1.9%

Length

2024-05-18T07:06:21.517807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
단독주택 4879
48.8%
공동주택 2613
26.1%
제2종근린생활시설 972
 
9.7%
제1종근린생활시설 863
 
8.6%
업무시설 172
 
1.7%
교육연구시설 128
 
1.3%
노유자시설 52
 
0.5%
공장 50
 
0.5%
종교시설 43
 
0.4%
창고시설 37
 
0.4%
Other values (22) 191
 
1.9%

기타 용도
Text

Distinct1624
Distinct (%)16.2%
Missing4
Missing (%)< 0.1%
Memory size156.2 KiB
2024-05-18T07:06:22.078691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length43
Mean length7.9501801
Min length2

Characters and Unicode

Total characters79470
Distinct characters281
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1199 ?
Unique (%)12.0%

Sample

1st row제2종근린생활시설및주택
2nd row점포
3rd row다세대주택
4th row주택
5th row주택
ValueCountFrequency (%)
주택 2551
21.0%
근린생활시설 1525
 
12.6%
단독주택 683
 
5.6%
다세대주택 664
 
5.5%
아파트 282
 
2.3%
공동주택(아파트 271
 
2.2%
제2종근린생활시설 265
 
2.2%
공동주택 254
 
2.1%
및 235
 
1.9%
다가구주택 220
 
1.8%
Other values (1168) 5179
42.7%
2024-05-18T07:06:23.619804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 8374
 
10.5%
택 8239
 
10.4%
시 3763
 
4.7%
설 3445
 
4.3%
다 3345
 
4.2%
구 3052
 
3.8%
생 2963
 
3.7%
활 2930
 
3.7%
가 2897
 
3.6%
( 2813
 
3.5%
Other values (271) 37649
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66645
83.9%
Open Punctuation 2827
 
3.6%
Close Punctuation 2822
 
3.6%
Decimal Number 2711
 
3.4%
Other Punctuation 2171
 
2.7%
Space Separator 2145
 
2.7%
Dash Punctuation 102
 
0.1%
Uppercase Letter 35
 
< 0.1%
Math Symbol 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 8374
 
12.6%
택 8239
 
12.4%
시 3763
 
5.6%
설 3445
 
5.2%
다 3345
 
5.0%
구 3052
 
4.6%
생 2963
 
4.4%
활 2930
 
4.4%
가 2897
 
4.3%
근 2678
 
4.0%
Other values (240) 24959
37.5%
Decimal Number
ValueCountFrequency (%)
2 726
26.8%
1 631
23.3%
5 383
14.1%
4 241
 
8.9%
3 234
 
8.6%
6 143
 
5.3%
7 132
 
4.9%
8 109
 
4.0%
0 66
 
2.4%
9 46
 
1.7%
Other Punctuation
ValueCountFrequency (%)
, 2047
94.3%
/ 75
 
3.5%
. 35
 
1.6%
: 7
 
0.3%
? 6
 
0.3%
' 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
F 11
31.4%
D 11
31.4%
M 11
31.4%
X 1
 
2.9%
G 1
 
2.9%
Open Punctuation
ValueCountFrequency (%)
( 2813
99.5%
[ 13
 
0.5%
（ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 2807
99.5%
] 14
 
0.5%
） 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
> 6
50.0%
< 6
50.0%
Space Separator
ValueCountFrequency (%)
2145
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66645
83.9%
Common 12790
 
16.1%
Latin 35
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 8374
 
12.6%
택 8239
 
12.4%
시 3763
 
5.6%
설 3445
 
5.2%
다 3345
 
5.0%
구 3052
 
4.6%
생 2963
 
4.4%
활 2930
 
4.4%
가 2897
 
4.3%
근 2678
 
4.0%
Other values (240) 24959
37.5%
Common
ValueCountFrequency (%)
( 2813
22.0%
) 2807
21.9%
2145
16.8%
, 2047
16.0%
2 726
 
5.7%
1 631
 
4.9%
5 383
 
3.0%
4 241
 
1.9%
3 234
 
1.8%
6 143
 
1.1%
Other values (16) 620
 
4.8%
Latin
ValueCountFrequency (%)
F 11
31.4%
D 11
31.4%
M 11
31.4%
X 1
 
2.9%
G 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66644
83.9%
ASCII 12823
 
16.1%
None 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 8374
 
12.6%
택 8239
 
12.4%
시 3763
 
5.6%
설 3445
 
5.2%
다 3345
 
5.0%
구 3052
 
4.6%
생 2963
 
4.4%
활 2930
 
4.4%
가 2897
 
4.3%
근 2678
 
4.0%
Other values (239) 24958
37.4%
ASCII
ValueCountFrequency (%)
( 2813
21.9%
) 2807
21.9%
2145
16.7%
, 2047
16.0%
2 726
 
5.7%
1 631
 
4.9%
5 383
 
3.0%
4 241
 
1.9%
3 234
 
1.8%
6 143
 
1.1%
Other values (19) 653
 
5.1%
None
ValueCountFrequency (%)
（ 1
50.0%
） 1
50.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

세대수
Real number (ℝ)

ZEROS 

Distinct191
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0564
Minimum0
Maximum489
Zeros7453
Zeros (%)74.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T07:06:24.070896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile34
Maximum489
Range489
Interquartile range (IQR)2

Descriptive statistics

Standard deviation25.737973
Coefficient of variation (CV)3.6474652
Kurtosis59.14776
Mean7.0564
Median Absolute Deviation (MAD)0
Skewness6.5423994
Sum70564
Variance662.44326
MonotonicityNot monotonic
2024-05-18T07:06:24.784104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7453
74.5%
8 458
 
4.6%
10 215
 
2.1%
6 173
 
1.7%
9 169
 
1.7%
7 142
 
1.4%
12 123
 
1.2%
4 100
 
1.0%
16 82
 
0.8%
5 72
 
0.7%
Other values (181) 1013
 
10.1%
ValueCountFrequency (%)
0 7453
74.5%
1 36
 
0.4%
2 35
 
0.4%
3 67
 
0.7%
4 100
 
1.0%
5 72
 
0.7%
6 173
 
1.7%
7 142
 
1.4%
8 458
 
4.6%
9 169
 
1.7%
ValueCountFrequency (%)
489 1
 
< 0.1%
472 1
 
< 0.1%
348 1
 
< 0.1%
328 1
 
< 0.1%
294 2
< 0.1%
279 1
 
< 0.1%
276 1
 
< 0.1%
273 1
 
< 0.1%
270 1
 
< 0.1%
254 3
< 0.1%

가구수
Real number (ℝ)

SKEWED  ZEROS 

Distinct30
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4398
Minimum0
Maximum174
Zeros4430
Zeros (%)44.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T07:06:25.311055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile6
Maximum174
Range174
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.5809857
Coefficient of variation (CV)2.487141
Kurtosis901.32175
Mean1.4398
Median Absolute Deviation (MAD)1
Skewness23.082326
Sum14398
Variance12.823458
MonotonicityNot monotonic
2024-05-18T07:06:25.766166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 4430
44.3%
1 3556
35.6%
5 507
 
5.1%
3 399
 
4.0%
4 326
 
3.3%
2 199
 
2.0%
6 178
 
1.8%
7 166
 
1.7%
8 65
 
0.7%
9 45
 
0.4%
Other values (20) 129
 
1.3%
ValueCountFrequency (%)
0 4430
44.3%
1 3556
35.6%
2 199
 
2.0%
3 399
 
4.0%
4 326
 
3.3%
5 507
 
5.1%
6 178
 
1.8%
7 166
 
1.7%
8 65
 
0.7%
9 45
 
0.4%
ValueCountFrequency (%)
174 1
< 0.1%
134 1
< 0.1%
123 1
< 0.1%
78 1
< 0.1%
68 1
< 0.1%
61 1
< 0.1%
37 1
< 0.1%
27 1
< 0.1%
24 1
< 0.1%
21 1
< 0.1%

구조 구분
Categorical

IMBALANCE 

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
철근콘크리트구조
5197 
벽돌구조
3704 
일반목구조
576 
블록구조
 
274
일반철골구조
 
91
Other values (14)
 
158

Length

Max length13
Median length8
Mean length6.2075
Min length3

Unique

Unique7 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
철근콘크리트구조 5197
52.0%
벽돌구조 3704
37.0%
일반목구조 576
 
5.8%
블록구조 274
 
2.7%
일반철골구조 91
 
0.9%
경량철골구조 69
 
0.7%
철골철근콘크리트구조 42
 
0.4%
기타조적구조 18
 
0.2%
철골콘크리트구조 16
 
0.2%
강파이프구조 2
 
< 0.1%
Other values (9) 11
 
0.1%

Length

2024-05-18T07:06:26.264949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
철근콘크리트구조 5197
52.0%
벽돌구조 3704
37.0%
일반목구조 576
 
5.8%
블록구조 274
 
2.7%
일반철골구조 91
 
0.9%
경량철골구조 69
 
0.7%
철골철근콘크리트구조 42
 
0.4%
기타조적구조 18
 
0.2%
철골콘크리트구조 16
 
0.2%
석구조 2
 
< 0.1%
Other values (9) 11
 
0.1%

기타 구조
Text

Distinct619
Distinct (%)6.2%
Missing11
Missing (%)0.1%
Memory size156.2 KiB
2024-05-18T07:06:26.919807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length34
Mean length6.3860246
Min length2

Characters and Unicode

Total characters63790
Distinct characters144
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique431 ?
Unique (%)4.3%

Sample

1st row철근콘크리트구조
2nd row시멘트벽돌조
3rd row철근콘크리트구조
4th row연와조
5th row연와조
ValueCountFrequency (%)
연와조 3635
32.9%
철근콘크리트구조 2412
21.8%
철근콘크리트조 2046
18.5%
목조 551
 
5.0%
철근콘크리트 285
 
2.6%
세멘벽돌조 213
 
1.9%
조적조 135
 
1.2%
세멘부록조 87
 
0.8%
철근콘크리트벽식구조 84
 
0.8%
일반철골구조 64
 
0.6%
Other values (445) 1546
14.0%
2024-05-18T07:06:28.467227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
조 11089
17.4%
철 5732
9.0%
트 5425
8.5%
크 5366
8.4%
리 5355
8.4%
콘 5342
8.4%
근 5324
8.3%
연 3923
 
6.1%
와 3923
 
6.1%
구 2971
 
4.7%
Other values (134) 9340
14.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60601
95.0%
Other Punctuation 1346
 
2.1%
Space Separator 1072
 
1.7%
Decimal Number 239
 
0.4%
Close Punctuation 185
 
0.3%
Open Punctuation 184
 
0.3%
Uppercase Letter 96
 
0.2%
Dash Punctuation 56
 
0.1%
Math Symbol 9
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 11089
18.3%
철 5732
9.5%
트 5425
9.0%
크 5366
8.9%
리 5355
8.8%
콘 5342
8.8%
근 5324
8.8%
연 3923
 
6.5%
와 3923
 
6.5%
구 2971
 
4.9%
Other values (106) 6151
10.1%
Decimal Number
ValueCountFrequency (%)
3 73
30.5%
2 63
26.4%
1 52
21.8%
4 42
17.6%
5 4
 
1.7%
8 2
 
0.8%
7 1
 
0.4%
6 1
 
0.4%
9 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 1236
91.8%
. 54
 
4.0%
/ 31
 
2.3%
: 24
 
1.8%
? 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
+ 6
66.7%
> 1
 
11.1%
< 1
 
11.1%
~ 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
R 48
50.0%
C 47
49.0%
U 1
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 184
99.5%
] 1
 
0.5%
Space Separator
ValueCountFrequency (%)
1072
100.0%
Open Punctuation
ValueCountFrequency (%)
( 184
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60601
95.0%
Common 3092
 
4.8%
Latin 97
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 11089
18.3%
철 5732
9.5%
트 5425
9.0%
크 5366
8.9%
리 5355
8.8%
콘 5342
8.8%
근 5324
8.8%
연 3923
 
6.5%
와 3923
 
6.5%
구 2971
 
4.9%
Other values (106) 6151
10.1%
Common
ValueCountFrequency (%)
, 1236
40.0%
1072
34.7%
) 184
 
6.0%
( 184
 
6.0%
3 73
 
2.4%
2 63
 
2.0%
- 56
 
1.8%
. 54
 
1.7%
1 52
 
1.7%
4 42
 
1.4%
Other values (14) 76
 
2.5%
Latin
ValueCountFrequency (%)
R 48
49.5%
C 47
48.5%
U 1
 
1.0%
c 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60601
95.0%
ASCII 3188
 
5.0%
CJK Compat 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
조 11089
18.3%
철 5732
9.5%
트 5425
9.0%
크 5366
8.9%
리 5355
8.8%
콘 5342
8.8%
근 5324
8.8%
연 3923
 
6.5%
와 3923
 
6.5%
구 2971
 
4.9%
Other values (106) 6151
10.1%
ASCII
ValueCountFrequency (%)
, 1236
38.8%
1072
33.6%
) 184
 
5.8%
( 184
 
5.8%
3 73
 
2.3%
2 63
 
2.0%
- 56
 
1.8%
. 54
 
1.7%
1 52
 
1.6%
R 48
 
1.5%
Other values (17) 166
 
5.2%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

지붕 구분
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
(철근)콘크리트
8125 
기와
1190 
기타지붕
 
595
슬레이트
 
86
<NA>
 
4

Length

Max length8
Median length8
Mean length7.012
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
(철근)콘크리트 8125
81.2%
기와 1190
 
11.9%
기타지붕 595
 
5.9%
슬레이트 86
 
0.9%
<NA> 4
 
< 0.1%

Length

2024-05-18T07:06:28.924466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:06:29.265056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
철근)콘크리트 8125
81.2%
기와 1190
 
11.9%
기타지붕 595
 
5.9%
슬레이트 86
 
0.9%
na 4
 
< 0.1%

기타 지붕
Text

Distinct799
Distinct (%)8.0%
Missing28
Missing (%)0.3%
Memory size156.2 KiB
2024-05-18T07:06:29.903086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length27
Mean length5.2759727
Min length2

Characters and Unicode

Total characters52612
Distinct characters190
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

Unique545 ?
Unique (%)5.5%

Sample

1st row평스라브
2nd row슬라브
3rd row평슬라브
4th row평슬라브
5th row세멘와즙(주택), 평옥개(물치)
ValueCountFrequency (%)
평스라브 2801
26.5%
스라브 1258
11.9%
철근)콘크리트 1161
 
11.0%
평슬라브 575
 
5.4%
세멘와즙 428
 
4.0%
와즙 412
 
3.9%
평옥개 373
 
3.5%
슬라브 257
 
2.4%
기와 195
 
1.8%
스라브위기와 190
 
1.8%
Other values (610) 2934
27.7%
2024-05-18T07:06:30.928334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
브 6320
 
12.0%
라 6203
 
11.8%
스 5433
 
10.3%
평 4637
 
8.8%
트 2183
 
4.1%
철 1949
 
3.7%
크 1900
 
3.6%
리 1899
 
3.6%
콘 1894
 
3.6%
근 1812
 
3.4%
Other values (180) 18382
34.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47631
90.5%
Close Punctuation 1804
 
3.4%
Open Punctuation 1803
 
3.4%
Space Separator 613
 
1.2%
Other Punctuation 583
 
1.1%
Decimal Number 147
 
0.3%
Uppercase Letter 24
 
< 0.1%
Other Symbol 4
 
< 0.1%
Dash Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
브 6320
13.3%
라 6203
13.0%
스 5433
11.4%
평 4637
 
9.7%
트 2183
 
4.6%
철 1949
 
4.1%
크 1900
 
4.0%
리 1899
 
4.0%
콘 1894
 
4.0%
근 1812
 
3.8%
Other values (149) 13401
28.1%
Decimal Number
ValueCountFrequency (%)
2 30
20.4%
1 29
19.7%
3 17
11.6%
4 14
9.5%
9 13
8.8%
0 11
 
7.5%
6 10
 
6.8%
5 10
 
6.8%
8 7
 
4.8%
7 6
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
C 9
37.5%
P 5
20.8%
M 2
 
8.3%
N 2
 
8.3%
O 1
 
4.2%
Z 1
 
4.2%
I 1
 
4.2%
D 1
 
4.2%
E 1
 
4.2%
K 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 511
87.7%
. 39
 
6.7%
/ 24
 
4.1%
: 8
 
1.4%
? 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 1804
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1803
100.0%
Space Separator
ValueCountFrequency (%)
613
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47631
90.5%
Common 4957
 
9.4%
Latin 24
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
브 6320
13.3%
라 6203
13.0%
스 5433
11.4%
평 4637
 
9.7%
트 2183
 
4.6%
철 1949
 
4.1%
크 1900
 
4.0%
리 1899
 
4.0%
콘 1894
 
4.0%
근 1812
 
3.8%
Other values (149) 13401
28.1%
Common
ValueCountFrequency (%)
) 1804
36.4%
( 1803
36.4%
613
 
12.4%
, 511
 
10.3%
. 39
 
0.8%
2 30
 
0.6%
1 29
 
0.6%
/ 24
 
0.5%
3 17
 
0.3%
4 14
 
0.3%
Other values (11) 73
 
1.5%
Latin
ValueCountFrequency (%)
C 9
37.5%
P 5
20.8%
M 2
 
8.3%
N 2
 
8.3%
O 1
 
4.2%
Z 1
 
4.2%
I 1
 
4.2%
D 1
 
4.2%
E 1
 
4.2%
K 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47631
90.5%
ASCII 4977
 
9.5%
CJK Compat 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
브 6320
13.3%
라 6203
13.0%
스 5433
11.4%
평 4637
 
9.7%
트 2183
 
4.6%
철 1949
 
4.1%
크 1900
 
4.0%
리 1899
 
4.0%
콘 1894
 
4.0%
근 1812
 
3.8%
Other values (149) 13401
28.1%
ASCII
ValueCountFrequency (%)
) 1804
36.2%
( 1803
36.2%
613
 
12.3%
, 511
 
10.3%
. 39
 
0.8%
2 30
 
0.6%
1 29
 
0.6%
/ 24
 
0.5%
3 17
 
0.3%
4 14
 
0.3%
Other values (20) 93
 
1.9%
CJK Compat
ValueCountFrequency (%)
㎡ 4
100.0%

건축 면적(㎡)
Real number (ℝ)

SKEWED  ZEROS 

Distinct6516
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean166.56256
Minimum0
Maximum36713.089
Zeros1679
Zeros (%)16.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T07:06:31.424854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q148.8925
median83.2
Q3146.5225
95-th percentile586.825
Maximum36713.089
Range36713.089
Interquartile range (IQR)97.63

Descriptive statistics

Standard deviation658.03396
Coefficient of variation (CV)3.9506714
Kurtosis1959.4428
Mean166.56256
Median Absolute Deviation (MAD)47.015
Skewness38.068026
Sum1665625.6
Variance433008.69
MonotonicityNot monotonic
2024-05-18T07:06:31.928897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1679
 
16.8%
39.67 17
 
0.2%
23.14 17
 
0.2%
33.06 14
 
0.1%
19.83 13
 
0.1%
26.45 13
 
0.1%
49.59 12
 
0.1%
22.15 10
 
0.1%
36.36 9
 
0.1%
46.28 9
 
0.1%
Other values (6506) 8207
82.1%
ValueCountFrequency (%)
0.0 1679
16.8%
1.2835 1
 
< 0.1%
2.5 1
 
< 0.1%
3.4 1
 
< 0.1%
3.64 1
 
< 0.1%
4.0 1
 
< 0.1%
5.8 1
 
< 0.1%
6.06 1
 
< 0.1%
6.61 3
 
< 0.1%
8.26 4
 
< 0.1%
ValueCountFrequency (%)
36713.089 2
< 0.1%
14232.05 1
< 0.1%
10886.5 2
< 0.1%
10592.4 1
< 0.1%
10533.44 2
< 0.1%
6506.41 1
< 0.1%
6190.85 1
< 0.1%
5605.96 1
< 0.1%
4956.9 1
< 0.1%
4256.63 1
< 0.1%

연 면적(㎡)
Real number (ℝ)

SKEWED 

Distinct8690
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1181.2645
Minimum0
Maximum213957.93
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T07:06:32.406503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile36.554
Q1151.6425
median279.97
Q3600.955
95-th percentile6355.578
Maximum213957.93
Range213957.93
Interquartile range (IQR)449.3125

Descriptive statistics

Standard deviation4695.697
Coefficient of variation (CV)3.9751442
Kurtosis753.77702
Mean1181.2645
Median Absolute Deviation (MAD)171.215
Skewness21.393884
Sum11812645
Variance22049570
MonotonicityNot monotonic
2024-05-18T07:06:32.884094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.83 31
 
0.3%
39.67 27
 
0.3%
23.14 26
 
0.3%
29.75 23
 
0.2%
33.06 21
 
0.2%
26.45 20
 
0.2%
46.28 17
 
0.2%
42.98 17
 
0.2%
56.2 16
 
0.2%
36.36 16
 
0.2%
Other values (8680) 9786
97.9%
ValueCountFrequency (%)
0.0 4
< 0.1%
2.74 1
 
< 0.1%
3.0 1
 
< 0.1%
3.2 1
 
< 0.1%
3.21 1
 
< 0.1%
3.31 1
 
< 0.1%
3.4 1
 
< 0.1%
3.6 1
 
< 0.1%
3.64 1
 
< 0.1%
3.99 1
 
< 0.1%
ValueCountFrequency (%)
213957.93 1
< 0.1%
167902.77 1
< 0.1%
161532.98 1
< 0.1%
90879.32 1
< 0.1%
69397.78 1
< 0.1%
63098.33 1
< 0.1%
61455.3204 1
< 0.1%
59988.25 1
< 0.1%
59614.3 1
< 0.1%
53768.85 1
< 0.1%

용적율 산정 연면적(㎡)
Real number (ℝ)

ZEROS 

Distinct7352
Distinct (%)73.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean885.61514
Minimum0
Maximum144343.25
Zeros1706
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T07:06:33.331017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q169.8925
median185.345
Q3482.7725
95-th percentile5079.059
Maximum144343.25
Range144343.25
Interquartile range (IQR)412.88

Descriptive statistics

Standard deviation3371.1508
Coefficient of variation (CV)3.8065641
Kurtosis668.02657
Mean885.61514
Median Absolute Deviation (MAD)175.65
Skewness19.536577
Sum8856151.4
Variance11364658
MonotonicityNot monotonic
2024-05-18T07:06:33.851501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1706
 
17.1%
19.83 23
 
0.2%
39.67 19
 
0.2%
23.14 18
 
0.2%
33.06 16
 
0.2%
26.45 14
 
0.1%
29.75 13
 
0.1%
36.36 11
 
0.1%
46.28 10
 
0.1%
56.2 10
 
0.1%
Other values (7342) 8160
81.6%
ValueCountFrequency (%)
0.0 1706
17.1%
3.4 1
 
< 0.1%
3.64 1
 
< 0.1%
4.0 1
 
< 0.1%
6.06 1
 
< 0.1%
6.61 2
 
< 0.1%
6.9 1
 
< 0.1%
7.77 1
 
< 0.1%
8.0 1
 
< 0.1%
8.26 4
 
< 0.1%
ValueCountFrequency (%)
144343.25 1
< 0.1%
123730.03 1
< 0.1%
117163.28 1
< 0.1%
54883.95 1
< 0.1%
47546.48 1
< 0.1%
43117.59 1
< 0.1%
42514.77 1
< 0.1%
41205.25 1
< 0.1%
32363.9 1
< 0.1%
29620.0 1
< 0.1%

높이(m)
Real number (ℝ)

ZEROS 

Distinct1095
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.164306
Minimum-4.8
Maximum317.7
Zeros4152
Zeros (%)41.5%
Negative1
Negative (%)< 0.1%
Memory size166.0 KiB
2024-05-18T07:06:34.526354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4.8
5-th percentile0
Q10
median7.6
Q313
95-th percentile33.3
Maximum317.7
Range322.5
Interquartile range (IQR)13

Descriptive statistics

Standard deviation13.378287
Coefficient of variation (CV)1.4598255
Kurtosis63.595859
Mean9.164306
Median Absolute Deviation (MAD)7.6
Skewness4.908701
Sum91643.06
Variance178.97857
MonotonicityNot monotonic
2024-05-18T07:06:35.040344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4152
41.5%
7.6 227
 
2.3%
10.2 138
 
1.4%
7.5 112
 
1.1%
7.8 111
 
1.1%
10.5 71
 
0.7%
7.9 66
 
0.7%
6.5 64
 
0.6%
7.3 63
 
0.6%
9.1 63
 
0.6%
Other values (1085) 4933
49.3%
ValueCountFrequency (%)
-4.8 1
 
< 0.1%
0.0 4152
41.5%
0.8 1
 
< 0.1%
1.23 1
 
< 0.1%
2.3 1
 
< 0.1%
2.4 3
 
< 0.1%
2.5 1
 
< 0.1%
2.6 2
 
< 0.1%
2.7 1
 
< 0.1%
2.8 5
 
0.1%
ValueCountFrequency (%)
317.7 1
< 0.1%
284.0 1
< 0.1%
249.58 1
< 0.1%
108.2 1
< 0.1%
102.18 1
< 0.1%
100.9 1
< 0.1%
98.85 1
< 0.1%
97.0 1
< 0.1%
92.7 1
< 0.1%
90.21 1
< 0.1%

대지 면적(㎡)
Real number (ℝ)

SKEWED  ZEROS 

Distinct3614
Distinct (%)36.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2136.7595
Minimum0
Maximum3425949.9
Zeros4030
Zeros (%)40.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T07:06:35.685928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median106.99
Q3214.7
95-th percentile672.335
Maximum3425949.9
Range3425949.9
Interquartile range (IQR)214.7

Descriptive statistics

Standard deviation54943.262
Coefficient of variation (CV)25.713358
Kurtosis3066.7731
Mean2136.7595
Median Absolute Deviation (MAD)106.99
Skewness51.470557
Sum21367595
Variance3.018762 × 109
MonotonicityNot monotonic
2024-05-18T07:06:36.435629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4030
40.3%
165.0 37
 
0.4%
119.0 31
 
0.3%
152.0 22
 
0.2%
122.0 22
 
0.2%
99.0 21
 
0.2%
132.0 19
 
0.2%
159.0 19
 
0.2%
136.0 19
 
0.2%
109.0 18
 
0.2%
Other values (3604) 5762
57.6%
ValueCountFrequency (%)
0.0 4030
40.3%
23.0 1
 
< 0.1%
23.1 2
 
< 0.1%
24.63 1
 
< 0.1%
26.4 1
 
< 0.1%
30.0 2
 
< 0.1%
30.8 1
 
< 0.1%
31.0 1
 
< 0.1%
31.2 1
 
< 0.1%
32.1 1
 
< 0.1%
ValueCountFrequency (%)
3425949.9 2
< 0.1%
1335218.68 1
 
< 0.1%
673608.4 1
 
< 0.1%
649709.6 1
 
< 0.1%
640850.0 1
 
< 0.1%
626571.0 3
< 0.1%
520856.0 1
 
< 0.1%
517046.0 1
 
< 0.1%
516618.0 1
 
< 0.1%
514767.0 1
 
< 0.1%

건폐율(%)
Real number (ℝ)

ZEROS 

Distinct2121
Distinct (%)21.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.526072
Minimum0
Maximum177.03
Zeros4207
Zeros (%)42.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T07:06:37.215133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median47.4
Q358.94
95-th percentile59.98
Maximum177.03
Range177.03
Interquartile range (IQR)58.94

Descriptive statistics

Standard deviation28.198057
Coefficient of variation (CV)0.89443612
Kurtosis-1.6434506
Mean31.526072
Median Absolute Deviation (MAD)12.58
Skewness-0.088583084
Sum315260.72
Variance795.13044
MonotonicityNot monotonic
2024-05-18T07:06:37.930620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4207
42.1%
59.96 68
 
0.7%
59.97 55
 
0.5%
59.95 54
 
0.5%
59.98 53
 
0.5%
59.93 52
 
0.5%
59.9 51
 
0.5%
59.89 51
 
0.5%
59.91 44
 
0.4%
59.94 44
 
0.4%
Other values (2111) 5321
53.2%
ValueCountFrequency (%)
0.0 4207
42.1%
0.023 1
 
< 0.1%
0.0261 1
 
< 0.1%
0.03 1
 
< 0.1%
0.031 1
 
< 0.1%
0.0553 1
 
< 0.1%
0.06 1
 
< 0.1%
0.11 1
 
< 0.1%
0.15 1
 
< 0.1%
0.16 1
 
< 0.1%
ValueCountFrequency (%)
177.03 1
< 0.1%
164.71 1
< 0.1%
133.44 1
< 0.1%
127.54 1
< 0.1%
117.86 1
< 0.1%
106.24 1
< 0.1%
102.73 1
< 0.1%
100.0 2
< 0.1%
99.25 1
< 0.1%
98.08 1
< 0.1%

용적율(%)
Real number (ℝ)

ZEROS 

Distinct4839
Distinct (%)48.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.58658
Minimum0
Maximum1084.5
Zeros4192
Zeros (%)41.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T07:06:38.546503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median97.735
Q3178.18
95-th percentile267.5255
Maximum1084.5
Range1084.5
Interquartile range (IQR)178.18

Descriptive statistics

Standard deviation109.58139
Coefficient of variation (CV)1.100363
Kurtosis6.2052745
Mean99.58658
Median Absolute Deviation (MAD)97.735
Skewness1.5650707
Sum995865.8
Variance12008.08
MonotonicityNot monotonic
2024-05-18T07:06:39.090372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4192
41.9%
199.44 10
 
0.1%
199.88 9
 
0.1%
199.96 8
 
0.1%
199.82 8
 
0.1%
199.89 8
 
0.1%
199.77 8
 
0.1%
199.76 7
 
0.1%
199.48 7
 
0.1%
199.91 7
 
0.1%
Other values (4829) 5736
57.4%
ValueCountFrequency (%)
0.0 4192
41.9%
0.023 1
 
< 0.1%
0.0261 1
 
< 0.1%
0.0273 1
 
< 0.1%
0.03 1
 
< 0.1%
0.0553 1
 
< 0.1%
0.06 1
 
< 0.1%
0.11 1
 
< 0.1%
0.164 1
 
< 0.1%
0.17 2
 
< 0.1%
ValueCountFrequency (%)
1084.5 1
< 0.1%
1076.2 1
< 0.1%
952.62 1
< 0.1%
952.16 1
< 0.1%
903.95 1
< 0.1%
899.4197 1
< 0.1%
893.99 1
< 0.1%
884.26 1
< 0.1%
865.01 1
< 0.1%
801.13 1
< 0.1%

지상층수
Real number (ℝ)

Distinct38
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8238
Minimum0
Maximum69
Zeros71
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T07:06:39.529056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile12.05
Maximum69
Range69
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.0481591
Coefficient of variation (CV)1.0586744
Kurtosis28.551768
Mean3.8238
Median Absolute Deviation (MAD)1
Skewness4.1711281
Sum38238
Variance16.387592
MonotonicityNot monotonic
2024-05-18T07:06:40.001357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
2 3008
30.1%
3 1656
16.6%
1 1528
15.3%
4 1391
13.9%
5 1175
 
11.8%
6 319
 
3.2%
15 153
 
1.5%
7 132
 
1.3%
0 71
 
0.7%
8 70
 
0.7%
Other values (28) 497
 
5.0%
ValueCountFrequency (%)
0 71
 
0.7%
1 1528
15.3%
2 3008
30.1%
3 1656
16.6%
4 1391
13.9%
5 1175
 
11.8%
6 319
 
3.2%
7 132
 
1.3%
8 70
 
0.7%
9 43
 
0.4%
ValueCountFrequency (%)
69 1
 
< 0.1%
60 1
 
< 0.1%
59 1
 
< 0.1%
56 1
 
< 0.1%
50 1
 
< 0.1%
35 1
 
< 0.1%
34 1
 
< 0.1%
32 1
 
< 0.1%
29 5
0.1%
28 7
0.1%

지하층수
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7065
Minimum0
Maximum7
Zeros3538
Zeros (%)35.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T07:06:40.449272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.64280562
Coefficient of variation (CV)0.90984519
Kurtosis13.993979
Mean0.7065
Median Absolute Deviation (MAD)0
Skewness2.0185071
Sum7065
Variance0.41319907
MonotonicityNot monotonic
2024-05-18T07:06:40.897711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 6092
60.9%
0 3538
35.4%
2 248
 
2.5%
3 67
 
0.7%
5 25
 
0.2%
4 18
 
0.2%
7 7
 
0.1%
6 5
 
0.1%
ValueCountFrequency (%)
0 3538
35.4%
1 6092
60.9%
2 248
 
2.5%
3 67
 
0.7%
4 18
 
0.2%
5 25
 
0.2%
6 5
 
0.1%
7 7
 
0.1%
ValueCountFrequency (%)
7 7
 
0.1%
6 5
 
0.1%
5 25
 
0.2%
4 18
 
0.2%
3 67
 
0.7%
2 248
 
2.5%
1 6092
60.9%
0 3538
35.4%

승용 승강기수
Real number (ℝ)

SKEWED  ZEROS 

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2046
Minimum0
Maximum86
Zeros8648
Zeros (%)86.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T07:06:41.388573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum86
Range86
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.299272
Coefficient of variation (CV)6.3503029
Kurtosis2699.8596
Mean0.2046
Median Absolute Deviation (MAD)0
Skewness45.753878
Sum2046
Variance1.6881077
MonotonicityNot monotonic
2024-05-18T07:06:41.846319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 8648
86.5%
1 1054
 
10.5%
2 198
 
2.0%
3 52
 
0.5%
4 22
 
0.2%
5 10
 
0.1%
6 4
 
< 0.1%
8 3
 
< 0.1%
7 2
 
< 0.1%
11 2
 
< 0.1%
Other values (5) 5
 
0.1%
ValueCountFrequency (%)
0 8648
86.5%
1 1054
 
10.5%
2 198
 
2.0%
3 52
 
0.5%
4 22
 
0.2%
5 10
 
0.1%
6 4
 
< 0.1%
7 2
 
< 0.1%
8 3
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
86 1
 
< 0.1%
68 1
 
< 0.1%
35 1
 
< 0.1%
19 1
 
< 0.1%
11 2
 
< 0.1%
10 1
 
< 0.1%
8 3
 
< 0.1%
7 2
 
< 0.1%
6 4
 
< 0.1%
5 10
0.1%

비상용 승강기수
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0534
Minimum0
Maximum8
Zeros9722
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T07:06:42.196291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.35321511
Coefficient of variation (CV)6.6145152
Kurtosis90.513991
Mean0.0534
Median Absolute Deviation (MAD)0
Skewness8.3411535
Sum534
Variance0.12476092
MonotonicityNot monotonic
2024-05-18T07:06:42.642094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 9722
97.2%
2 129
 
1.3%
1 97
 
1.0%
3 37
 
0.4%
4 12
 
0.1%
8 1
 
< 0.1%
7 1
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
0 9722
97.2%
1 97
 
1.0%
2 129
 
1.3%
3 37
 
0.4%
4 12
 
0.1%
5 1
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
7 1
 
< 0.1%
5 1
 
< 0.1%
4 12
 
0.1%
3 37
 
0.4%
2 129
 
1.3%
1 97
 
1.0%
0 9722
97.2%

부속 건축물수
Real number (ℝ)

SKEWED  ZEROS 

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0766
Minimum0
Maximum31
Zeros9687
Zeros (%)96.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T07:06:43.133417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum31
Range31
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.76940993
Coefficient of variation (CV)10.044516
Kurtosis630.58703
Mean0.0766
Median Absolute Deviation (MAD)0
Skewness21.038267
Sum766
Variance0.59199164
MonotonicityNot monotonic
2024-05-18T07:06:43.605128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 9687
96.9%
1 229
 
2.3%
2 18
 
0.2%
3 13
 
0.1%
5 10
 
0.1%
6 10
 
0.1%
4 7
 
0.1%
11 6
 
0.1%
10 6
 
0.1%
12 5
 
0.1%
Other values (5) 9
 
0.1%
ValueCountFrequency (%)
0 9687
96.9%
1 229
 
2.3%
2 18
 
0.2%
3 13
 
0.1%
4 7
 
0.1%
5 10
 
0.1%
6 10
 
0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
31 2
 
< 0.1%
13 4
 
< 0.1%
12 5
0.1%
11 6
0.1%
10 6
0.1%
9 1
 
< 0.1%
8 1
 
< 0.1%
7 1
 
< 0.1%
6 10
0.1%
5 10
0.1%

부속 건축물 면적(㎡)
Real number (ℝ)

ZEROS 

Distinct228
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.722287
Minimum0
Maximum45918.58
Zeros9690
Zeros (%)96.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T07:06:44.098596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum45918.58
Range45918.58
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1689.7919
Coefficient of variation (CV)16.944977
Kurtosis415.67429
Mean99.722287
Median Absolute Deviation (MAD)0
Skewness19.78348
Sum997222.87
Variance2855396.6
MonotonicityNot monotonic
2024-05-18T07:06:44.646064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9690
96.9%
1.0 12
 
0.1%
3.31 10
 
0.1%
6.61 7
 
0.1%
16.2 5
 
0.1%
16515.32 5
 
0.1%
29295.9 5
 
0.1%
38927.59 4
 
< 0.1%
32672.88 4
 
< 0.1%
31768.783 4
 
< 0.1%
Other values (218) 254
 
2.5%
ValueCountFrequency (%)
0.0 9690
96.9%
0.81 1
 
< 0.1%
0.96 1
 
< 0.1%
0.99 3
 
< 0.1%
1.0 12
 
0.1%
1.1 1
 
< 0.1%
1.17 1
 
< 0.1%
1.19 2
 
< 0.1%
1.2 1
 
< 0.1%
1.29 1
 
< 0.1%
ValueCountFrequency (%)
45918.58 2
 
< 0.1%
38927.59 4
< 0.1%
38578.49 1
 
< 0.1%
32672.88 4
< 0.1%
32289.02 1
 
< 0.1%
31768.783 4
< 0.1%
29295.9 5
0.1%
19913.7696 1
 
< 0.1%
18242.965 2
 
< 0.1%
16515.32 5
0.1%

옥내 자주식 대수
Real number (ℝ)

SKEWED  ZEROS 

Distinct142
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2002
Minimum0
Maximum7695
Zeros7991
Zeros (%)79.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T07:06:45.096182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum7695
Range7695
Interquartile range (IQR)0

Descriptive statistics

Standard deviation104.91376
Coefficient of variation (CV)16.921029
Kurtosis3170.6985
Mean6.2002
Median Absolute Deviation (MAD)0
Skewness49.178709
Sum62002
Variance11006.898
MonotonicityNot monotonic
2024-05-18T07:06:45.877772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7991
79.9%
2 318
 
3.2%
4 303
 
3.0%
1 239
 
2.4%
3 212
 
2.1%
6 206
 
2.1%
5 153
 
1.5%
8 126
 
1.3%
7 80
 
0.8%
9 43
 
0.4%
Other values (132) 329
 
3.3%
ValueCountFrequency (%)
0 7991
79.9%
1 239
 
2.4%
2 318
 
3.2%
3 212
 
2.1%
4 303
 
3.0%
5 153
 
1.5%
6 206
 
2.1%
7 80
 
0.8%
8 126
 
1.3%
9 43
 
0.4%
ValueCountFrequency (%)
7695 1
 
< 0.1%
4082 1
 
< 0.1%
2010 1
 
< 0.1%
1983 1
 
< 0.1%
1982 1
 
< 0.1%
1442 1
 
< 0.1%
1350 2
 
< 0.1%
1270 1
 
< 0.1%
1112 1
 
< 0.1%
1068 5
0.1%

옥내 자주식 면적(㎡)
Real number (ℝ)

SKEWED  ZEROS 

Distinct1294
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.06021
Minimum0
Maximum126394.5
Zeros8346
Zeros (%)83.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T07:06:46.475129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile119.177
Maximum126394.5
Range126394.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1873.0048
Coefficient of variation (CV)17.659824
Kurtosis2557.9974
Mean106.06021
Median Absolute Deviation (MAD)0
Skewness45.388585
Sum1060602.1
Variance3508146.8
MonotonicityNot monotonic
2024-05-18T07:06:47.231629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 8346
83.5%
46.0 45
 
0.4%
34.5 43
 
0.4%
23.0 40
 
0.4%
57.5 27
 
0.3%
69.0 26
 
0.3%
92.0 24
 
0.2%
11.5 15
 
0.1%
80.5 8
 
0.1%
50.0 7
 
0.1%
Other values (1284) 1419
 
14.2%
ValueCountFrequency (%)
0.0 8346
83.5%
3.75 1
 
< 0.1%
4.0 1
 
< 0.1%
6.32 1
 
< 0.1%
7.56 1
 
< 0.1%
8.58 1
 
< 0.1%
8.64 1
 
< 0.1%
9.0 2
 
< 0.1%
9.57 1
 
< 0.1%
9.79 1
 
< 0.1%
ValueCountFrequency (%)
126394.5 1
< 0.1%
70821.9 2
< 0.1%
53768.85 1
< 0.1%
27827.43 1
< 0.1%
27744.25 1
< 0.1%
25936.1 1
< 0.1%
21992.39 1
< 0.1%
18941.13 1
< 0.1%
15538.42 1
< 0.1%
15135.645 2
< 0.1%

옥외 자주식 대수
Real number (ℝ)

SKEWED  ZEROS 

Distinct83
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0132
Minimum0
Maximum1521
Zeros6671
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T07:06:47.837972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6
Maximum1521
Range1521
Interquartile range (IQR)2

Descriptive statistics

Standard deviation39.64673
Coefficient of variation (CV)13.157683
Kurtosis1047.888
Mean3.0132
Median Absolute Deviation (MAD)0
Skewness30.616447
Sum30132
Variance1571.8632
MonotonicityNot monotonic
2024-05-18T07:06:48.424609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6671
66.7%
2 985
 
9.8%
1 594
 
5.9%
3 502
 
5.0%
4 433
 
4.3%
5 201
 
2.0%
6 146
 
1.5%
8 118
 
1.2%
7 114
 
1.1%
9 35
 
0.4%
Other values (73) 201
 
2.0%
ValueCountFrequency (%)
0 6671
66.7%
1 594
 
5.9%
2 985
 
9.8%
3 502
 
5.0%
4 433
 
4.3%
5 201
 
2.0%
6 146
 
1.5%
7 114
 
1.1%
8 118
 
1.2%
9 35
 
0.4%
ValueCountFrequency (%)
1521 1
< 0.1%
1519 1
< 0.1%
1513 1
< 0.1%
1488 1
< 0.1%
1305 1
< 0.1%
1030 1
< 0.1%
734 1
< 0.1%
727 2
< 0.1%
706 1
< 0.1%
490 1
< 0.1%

옥외 자주식 면적(㎡)
Real number (ℝ)

SKEWED  ZEROS 

Distinct281
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.354829
Minimum0
Maximum8441
Zeros7946
Zeros (%)79.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T07:06:48.971113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile54.0032
Maximum8441
Range8441
Interquartile range (IQR)0

Descriptive statistics

Standard deviation112.68567
Coefficient of variation (CV)9.1207796
Kurtosis3466.4549
Mean12.354829
Median Absolute Deviation (MAD)0
Skewness52.102259
Sum123548.29
Variance12698.061
MonotonicityNot monotonic
2024-05-18T07:06:49.625163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7946
79.5%
23.0 515
 
5.1%
11.5 252
 
2.5%
46.0 219
 
2.2%
34.5 206
 
2.1%
57.5 89
 
0.9%
69.0 65
 
0.7%
92.0 46
 
0.5%
12.0 44
 
0.4%
35.0 42
 
0.4%
Other values (271) 576
 
5.8%
ValueCountFrequency (%)
0.0 7946
79.5%
0.46 1
 
< 0.1%
2.0 1
 
< 0.1%
2.85 1
 
< 0.1%
4.98 1
 
< 0.1%
5.75 1
 
< 0.1%
7.0 1
 
< 0.1%
7.2 2
 
< 0.1%
10.0 2
 
< 0.1%
11.0 6
 
0.1%
ValueCountFrequency (%)
8441.0 1
< 0.1%
4600.0 1
< 0.1%
2507.0 1
< 0.1%
2320.0 1
< 0.1%
2113.0 1
< 0.1%
1544.82 1
< 0.1%
1311.0 1
< 0.1%
1155.5 1
< 0.1%
1051.5 1
< 0.1%
848.64 1
< 0.1%

옥내 기계식 대수
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3962
Minimum0
Maximum110
Zeros9845
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T07:06:50.089366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum110
Range110
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.1698638
Coefficient of variation (CV)10.524644
Kurtosis282.11741
Mean0.3962
Median Absolute Deviation (MAD)0
Skewness15.120479
Sum3962
Variance17.387764
MonotonicityNot monotonic
2024-05-18T07:06:50.708101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9845
98.5%
8 12
 
0.1%
12 10
 
0.1%
16 9
 
0.1%
32 8
 
0.1%
14 8
 
0.1%
30 7
 
0.1%
22 6
 
0.1%
5 5
 
0.1%
18 5
 
0.1%
Other values (44) 85
 
0.9%
ValueCountFrequency (%)
0 9845
98.5%
1 2
 
< 0.1%
2 4
 
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
5 5
 
0.1%
6 2
 
< 0.1%
7 3
 
< 0.1%
8 12
 
0.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
110 1
 
< 0.1%
104 1
 
< 0.1%
100 1
 
< 0.1%
96 3
< 0.1%
76 1
 
< 0.1%
72 1
 
< 0.1%
70 1
 
< 0.1%
66 1
 
< 0.1%
65 1
 
< 0.1%
59 1
 
< 0.1%

옥내 기계식 면적(㎡)
Real number (ℝ)

SKEWED  ZEROS 

Distinct118
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.378736
Minimum0
Maximum3126.77
Zeros9882
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T07:06:51.220441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3126.77
Range3126.77
Interquartile range (IQR)0

Descriptive statistics

Standard deviation41.364946
Coefficient of variation (CV)17.389465
Kurtosis3336.0525
Mean2.378736
Median Absolute Deviation (MAD)0
Skewness48.508876
Sum23787.36
Variance1711.0588
MonotonicityNot monotonic
2024-05-18T07:06:51.645257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9882
98.8%
51.82 2
 
< 0.1%
435.53 1
 
< 0.1%
139.05 1
 
< 0.1%
115.36 1
 
< 0.1%
52.96 1
 
< 0.1%
247.68 1
 
< 0.1%
142.48 1
 
< 0.1%
186.99 1
 
< 0.1%
71.89 1
 
< 0.1%
Other values (108) 108
 
1.1%
ValueCountFrequency (%)
0.0 9882
98.8%
11.5 1
 
< 0.1%
23.0 1
 
< 0.1%
23.31 1
 
< 0.1%
33.39 1
 
< 0.1%
34.41 1
 
< 0.1%
36.63 1
 
< 0.1%
37.52 1
 
< 0.1%
38.19 1
 
< 0.1%
38.76 1
 
< 0.1%
ValueCountFrequency (%)
3126.77 1
< 0.1%
823.59 1
< 0.1%
787.95 1
< 0.1%
759.91 1
< 0.1%
725.31 1
< 0.1%
720.13 1
< 0.1%
581.15 1
< 0.1%
551.88 1
< 0.1%
548.46 1
< 0.1%
542.69 1
< 0.1%

옥외 기계식 대수
Real number (ℝ)

SKEWED  ZEROS 

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0647
Minimum0
Maximum104
Zeros9951
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T07:06:52.043354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum104
Range104
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.590021
Coefficient of variation (CV)24.575286
Kurtosis2354.6468
Mean0.0647
Median Absolute Deviation (MAD)0
Skewness43.639714
Sum647
Variance2.5281667
MonotonicityNot monotonic
2024-05-18T07:06:52.508304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 9951
99.5%
2 12
 
0.1%
8 10
 
0.1%
3 3
 
< 0.1%
11 3
 
< 0.1%
17 2
 
< 0.1%
6 2
 
< 0.1%
7 2
 
< 0.1%
9 2
 
< 0.1%
26 1
 
< 0.1%
Other values (12) 12
 
0.1%
ValueCountFrequency (%)
0 9951
99.5%
1 1
 
< 0.1%
2 12
 
0.1%
3 3
 
< 0.1%
6 2
 
< 0.1%
7 2
 
< 0.1%
8 10
 
0.1%
9 2
 
< 0.1%
10 1
 
< 0.1%
11 3
 
< 0.1%
ValueCountFrequency (%)
104 1
< 0.1%
64 1
< 0.1%
60 1
< 0.1%
38 1
< 0.1%
30 1
< 0.1%
26 1
< 0.1%
24 1
< 0.1%
20 1
< 0.1%
18 1
< 0.1%
17 2
< 0.1%

옥외 기계식 면적(㎡)
Real number (ℝ)

SKEWED  ZEROS 

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2340904
Minimum0
Maximum690
Zeros9972
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T07:06:52.874077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum690
Range690
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.5161905
Coefficient of variation (CV)36.379922
Kurtosis4688.2618
Mean0.2340904
Median Absolute Deviation (MAD)0
Skewness63.753345
Sum2340.904
Variance72.525501
MonotonicityNot monotonic
2024-05-18T07:06:53.267237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.0 9972
99.7%
23.0 3
 
< 0.1%
92.0 2
 
< 0.1%
690.0 1
 
< 0.1%
346.94 1
 
< 0.1%
41.82 1
 
< 0.1%
33.85 1
 
< 0.1%
43.47 1
 
< 0.1%
15.0 1
 
< 0.1%
272.48 1
 
< 0.1%
Other values (16) 16
 
0.2%
ValueCountFrequency (%)
0.0 9972
99.7%
11.5 1
 
< 0.1%
15.0 1
 
< 0.1%
23.0 3
 
< 0.1%
27.5 1
 
< 0.1%
29.2 1
 
< 0.1%
29.26 1
 
< 0.1%
29.4 1
 
< 0.1%
30.55 1
 
< 0.1%
33.85 1
 
< 0.1%
ValueCountFrequency (%)
690.0 1
< 0.1%
346.94 1
< 0.1%
272.48 1
< 0.1%
92.474 1
< 0.1%
92.0 2
< 0.1%
74.57 1
< 0.1%
49.45 1
< 0.1%
45.36 1
< 0.1%
43.47 1
< 0.1%
41.82 1
< 0.1%

Sample

건축물대장 관리번호주용도 구분기타 용도세대수가구수구조 구분기타 구조지붕 구분기타 지붕건축 면적(㎡)연 면적(㎡)용적율 산정 연면적(㎡)높이(m)대지 면적(㎡)건폐율(%)용적율(%)지상층수지하층수승용 승강기수비상용 승강기수부속 건축물수부속 건축물 면적(㎡)옥내 자주식 대수옥내 자주식 면적(㎡)옥외 자주식 대수옥외 자주식 면적(㎡)옥내 기계식 대수옥내 기계식 면적(㎡)옥외 기계식 대수옥외 기계식 면적(㎡)
21211200-9393제2종근린생활시설제2종근린생활시설및주택02철근콘크리트구조철근콘크리트구조(철근)콘크리트평스라브57.57287.85258.2114.5116.049.63222.59500000.0329.6400.000.000.0
3068211410-704제1종근린생활시설점포00벽돌구조시멘트벽돌조(철근)콘크리트슬라브0.079.340.00.00.00.00.0210000.000.000.000.000.0
1241611305-100198861공동주택다세대주택80철근콘크리트구조철근콘크리트구조(철근)콘크리트평슬라브124.87422.02422.0213.4211.659.01199.44500000.000.0780.500.000.0
1063511200-18258단독주택주택01벽돌구조연와조(철근)콘크리트평슬라브0.0151.320.00.0103.960.00.0210000.000.000.000.000.0
1239011305-27270단독주택주택01벽돌구조연와조기와세멘와즙(주택), 평옥개(물치)102.02106.15102.020.00.00.00.0110013.7700.000.000.000.0
2837211200-23816단독주택단독주택01벽돌구조연와조(철근)콘크리트평슬라브0.0154.20.00.00.00.00.0210000.000.000.000.000.0
2537211530-8256공동주택다세대주택, 근린생활시설31철근콘크리트구조철근콘크리트조(철근)콘크리트평스라브46.2184.8184.812.460.077.0308.0400000.000.000.000.000.0
1733211410-100217021공동주택공동주택(아파트)800철근콘크리트구조철근콘크리트구조(철근)콘크리트(철근)콘크리트545.544707.5164707.51635.10.00.00.01102000.000.000.000.000.0
404311440-24585공동주택공동주택(다세대주택)80철근콘크리트구조철근콘크리트구조(철근)콘크리트(철근)콘크리트,평스라브190.54658.8658.814.5367.951.79179.07500000.000.0780.500.000.0
1481311500-15117단독주택단독주택01블록구조세멘블럭조, 세멘벽돌조슬레이트세멘와즙, 스레트45.9545.9545.954.197.047.3747.37100000.000.000.000.000.0
건축물대장 관리번호주용도 구분기타 용도세대수가구수구조 구분기타 구조지붕 구분기타 지붕건축 면적(㎡)연 면적(㎡)용적율 산정 연면적(㎡)높이(m)대지 면적(㎡)건폐율(%)용적율(%)지상층수지하층수승용 승강기수비상용 승강기수부속 건축물수부속 건축물 면적(㎡)옥내 자주식 대수옥내 자주식 면적(㎡)옥외 자주식 대수옥외 자주식 면적(㎡)옥내 기계식 대수옥내 기계식 면적(㎡)옥외 기계식 대수옥외 기계식 면적(㎡)
2406811140-13971단독주택주택01일반목구조목조기타지붕도단즙0.046.280.00.00.00.00.0100000.000.000.000.000.0
3184411170-5625제1종근린생활시설근린생활시설00철근콘크리트구조철근콘크리트조(철근)콘크리트스라브76.4417.08340.680.00.00.00.0510000.000.000.000.000.0
471411680-19631단독주택주거시설01벽돌구조연와조(철근)콘크리트슬라브위기와57.26183.66114.527.8120.047.7295.43210000.000.000.000.000.0
3207111260-1597단독주택근린생활시설및주택01철근콘크리트구조철근콘크리트조및연와조(철근)콘크리트평스라브54.63292.26218.520.0109.849.75199.02410000.000.000.000.000.0
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