Overview

Dataset statistics

Number of variables30
Number of observations58
Missing cells180
Missing cells (%)10.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.2 KiB
Average record size in memory251.3 B

Variable types

Categorical13
Text6
Numeric7
Boolean1
DateTime3

Dataset

Description인천광역시 동구에 위치한 공공 건축물 현황 데이터로, 대장구분, 시도, 시군구, 법정동, 대지위치, 도로명주소, 외필지수, 건물명, 동명칭, 대지면적, 건축면적, 연면적, 건폐율, 용적율, 높이, 용적율산정연면적, 주구조, 기타구조, 주용도, 기타용도, 주지붕, 기타지붕, 내진능력, 내진설계적용여부, 지상층수, 지하층수, 허가일, 착공일, 사용승인일 등 항목을 제공합니다.
Author인천광역시 동구
URLhttps://www.data.go.kr/data/15112889/fileData.do

Alerts

시도 has constant value ""Constant
시군구 has constant value ""Constant
데이터기준일자 has constant value ""Constant
대장구분 is highly imbalanced (63.8%)Imbalance
주구조 is highly imbalanced (51.8%)Imbalance
주지붕 is highly imbalanced (65.5%)Imbalance
도로명주소 has 2 (3.4%) missing valuesMissing
건물명 has 15 (25.9%) missing valuesMissing
동명칭 has 36 (62.1%) missing valuesMissing
대지면적 has 11 (19.0%) missing valuesMissing
건폐율 has 16 (27.6%) missing valuesMissing
용적율 has 16 (27.6%) missing valuesMissing
용적율산정연면적 has 1 (1.7%) missing valuesMissing
내진능력 has 51 (87.9%) missing valuesMissing
지상층수 has 1 (1.7%) missing valuesMissing
허가일 has 3 (5.2%) missing valuesMissing
착공일 has 26 (44.8%) missing valuesMissing
사용승인일 has 2 (3.4%) missing valuesMissing
대지면적 has 20 (34.5%) zerosZeros
건축면적 has 6 (10.3%) zerosZeros
건폐율 has 18 (31.0%) zerosZeros
용적율 has 18 (31.0%) zerosZeros
높이 has 18 (31.0%) zerosZeros

Reproduction

Analysis started2024-05-04 07:30:40.470261
Analysis finished2024-05-04 07:30:41.258988
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대장구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
일반
54 
집합
 
4

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반 54
93.1%
집합 4
 
6.9%

Length

2024-05-04T07:30:41.453820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:30:41.730197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 54
93.1%
집합 4
 
6.9%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
인천광역시
58 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인천광역시 58
100.0%

Length

2024-05-04T07:30:42.022582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:30:42.327404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 58
100.0%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
동구
58 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동구 58
100.0%

Length

2024-05-04T07:30:42.659505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:30:43.010162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동구 58
100.0%

법정동
Categorical

Distinct7
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size596.0 B
송림동
23 
만석동
11 
송현동
11 
화수동
5 
화평동
4 
Other values (2)
4 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
송림동 23
39.7%
만석동 11
19.0%
송현동 11
19.0%
화수동 5
 
8.6%
화평동 4
 
6.9%
창영동 2
 
3.4%
금곡동 2
 
3.4%

Length

2024-05-04T07:30:43.342397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:30:43.694426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
송림동 23
39.7%
만석동 11
19.0%
송현동 11
19.0%
화수동 5
 
8.6%
화평동 4
 
6.9%
창영동 2
 
3.4%
금곡동 2
 
3.4%

대지위치
Text

Distinct44
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-05-04T07:30:44.125578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20.5
Mean length17.948276
Min length16

Characters and Unicode

Total characters1041
Distinct characters31
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)63.8%

Sample

1st row인천광역시 동구 만석동 2-407
2nd row인천광역시 동구 만석동 18-3
3rd row인천광역시 동구 만석동 18-3
4th row인천광역시 동구 만석동 18-3
5th row인천광역시 동구 만석동 18-4
ValueCountFrequency (%)
인천광역시 58
25.0%
동구 58
25.0%
송림동 23
 
9.9%
송현동 11
 
4.7%
만석동 11
 
4.7%
229-3 6
 
2.6%
화수동 5
 
2.2%
화평동 4
 
1.7%
129 3
 
1.3%
109-2 3
 
1.3%
Other values (43) 50
21.6%
2024-05-04T07:30:45.100437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
174
16.7%
동 116
 
11.1%
인 58
 
5.6%
광 58
 
5.6%
역 58
 
5.6%
시 58
 
5.6%
구 58
 
5.6%
천 58
 
5.6%
- 51
 
4.9%
2 50
 
4.8%
Other values (21) 302
29.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 580
55.7%
Decimal Number 236
22.7%
Space Separator 174
 
16.7%
Dash Punctuation 51
 
4.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 116
20.0%
인 58
10.0%
광 58
10.0%
역 58
10.0%
시 58
10.0%
구 58
10.0%
천 58
10.0%
송 34
 
5.9%
림 23
 
4.0%
석 11
 
1.9%
Other values (9) 48
8.3%
Decimal Number
ValueCountFrequency (%)
2 50
21.2%
1 32
13.6%
3 31
13.1%
0 30
12.7%
9 22
9.3%
8 18
 
7.6%
4 17
 
7.2%
5 14
 
5.9%
7 12
 
5.1%
6 10
 
4.2%
Space Separator
ValueCountFrequency (%)
174
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 580
55.7%
Common 461
44.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 116
20.0%
인 58
10.0%
광 58
10.0%
역 58
10.0%
시 58
10.0%
구 58
10.0%
천 58
10.0%
송 34
 
5.9%
림 23
 
4.0%
석 11
 
1.9%
Other values (9) 48
8.3%
Common
ValueCountFrequency (%)
174
37.7%
- 51
 
11.1%
2 50
 
10.8%
1 32
 
6.9%
3 31
 
6.7%
0 30
 
6.5%
9 22
 
4.8%
8 18
 
3.9%
4 17
 
3.7%
5 14
 
3.0%
Other values (2) 22
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 580
55.7%
ASCII 461
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
174
37.7%
- 51
 
11.1%
2 50
 
10.8%
1 32
 
6.9%
3 31
 
6.7%
0 30
 
6.5%
9 22
 
4.8%
8 18
 
3.9%
4 17
 
3.7%
5 14
 
3.0%
Other values (2) 22
 
4.8%
Hangul
ValueCountFrequency (%)
동 116
20.0%
인 58
10.0%
광 58
10.0%
역 58
10.0%
시 58
10.0%
구 58
10.0%
천 58
10.0%
송 34
 
5.9%
림 23
 
4.0%
석 11
 
1.9%
Other values (9) 48
8.3%

도로명주소
Text

MISSING 

Distinct44
Distinct (%)78.6%
Missing2
Missing (%)3.4%
Memory size596.0 B
2024-05-04T07:30:45.711609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length25
Mean length22.285714
Min length15

Characters and Unicode

Total characters1248
Distinct characters64
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)67.9%

Sample

1st row인천광역시 동구 만석부두로 43 (만석동)
2nd row인천광역시 동구 석수로 90 (만석동)
3rd row인천광역시 동구 석수로 90 (만석동)
4th row인천광역시 동구 석수로 90 (만석동)
5th row인천광역시 동구 석수로 96 (만석동)
ValueCountFrequency (%)
인천광역시 56
20.2%
동구 56
20.2%
송림동 23
 
8.3%
만석동 10
 
3.6%
송현동 9
 
3.2%
금곡로 9
 
3.2%
43 7
 
2.5%
석수로 6
 
2.2%
90 5
 
1.8%
화수동 5
 
1.8%
Other values (65) 91
32.9%
2024-05-04T07:30:46.587705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
221
17.7%
동 109
 
8.7%
인 59
 
4.7%
천 58
 
4.6%
로 56
 
4.5%
광 56
 
4.5%
역 56
 
4.5%
시 56
 
4.5%
구 56
 
4.5%
) 52
 
4.2%
Other values (54) 469
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 758
60.7%
Space Separator 221
 
17.7%
Decimal Number 158
 
12.7%
Close Punctuation 52
 
4.2%
Open Punctuation 52
 
4.2%
Dash Punctuation 7
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 109
14.4%
인 59
 
7.8%
천 58
 
7.7%
로 56
 
7.4%
광 56
 
7.4%
역 56
 
7.4%
시 56
 
7.4%
구 56
 
7.4%
송 38
 
5.0%
림 25
 
3.3%
Other values (40) 189
24.9%
Decimal Number
ValueCountFrequency (%)
3 26
16.5%
1 23
14.6%
6 20
12.7%
4 16
10.1%
9 16
10.1%
0 15
9.5%
7 14
8.9%
2 13
8.2%
5 11
7.0%
8 4
 
2.5%
Space Separator
ValueCountFrequency (%)
221
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 758
60.7%
Common 490
39.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 109
14.4%
인 59
 
7.8%
천 58
 
7.7%
로 56
 
7.4%
광 56
 
7.4%
역 56
 
7.4%
시 56
 
7.4%
구 56
 
7.4%
송 38
 
5.0%
림 25
 
3.3%
Other values (40) 189
24.9%
Common
ValueCountFrequency (%)
221
45.1%
) 52
 
10.6%
( 52
 
10.6%
3 26
 
5.3%
1 23
 
4.7%
6 20
 
4.1%
4 16
 
3.3%
9 16
 
3.3%
0 15
 
3.1%
7 14
 
2.9%
Other values (4) 35
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 758
60.7%
ASCII 490
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
221
45.1%
) 52
 
10.6%
( 52
 
10.6%
3 26
 
5.3%
1 23
 
4.7%
6 20
 
4.1%
4 16
 
3.3%
9 16
 
3.3%
0 15
 
3.1%
7 14
 
2.9%
Other values (4) 35
 
7.1%
Hangul
ValueCountFrequency (%)
동 109
14.4%
인 59
 
7.8%
천 58
 
7.7%
로 56
 
7.4%
광 56
 
7.4%
역 56
 
7.4%
시 56
 
7.4%
구 56
 
7.4%
송 38
 
5.0%
림 25
 
3.3%
Other values (40) 189
24.9%

외필지수
Categorical

Distinct4
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size596.0 B
0
45 
1
9 
2
 
3
7
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 45
77.6%
1 9
 
15.5%
2 3
 
5.2%
7 1
 
1.7%

Length

2024-05-04T07:30:46.990499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:30:47.304625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 45
77.6%
1 9
 
15.5%
2 3
 
5.2%
7 1
 
1.7%

건물명
Text

MISSING 

Distinct36
Distinct (%)83.7%
Missing15
Missing (%)25.9%
Memory size596.0 B
2024-05-04T07:30:47.684463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length8.2790698
Min length3

Characters and Unicode

Total characters356
Distinct characters116
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)72.1%

Sample

1st row인천해양경찰서만석출장소
2nd row동구보건소
3rd row만석동사무소
4th row만석동 주민센터(체력단련실)
5th row만석소방파출소
ValueCountFrequency (%)
동구청 3
 
5.2%
인천산업용품유통단지 3
 
5.2%
동구보건소 2
 
3.4%
화평동파출소 2
 
3.4%
송림골 2
 
3.4%
주민자치센터 2
 
3.4%
송림6동 2
 
3.4%
더불어마을 1
 
1.7%
지하광장 1
 
1.7%
송현파출소 1
 
1.7%
Other values (39) 39
67.2%
2024-05-04T07:30:48.683102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 25
 
7.0%
소 23
 
6.5%
15
 
4.2%
송 13
 
3.7%
사 11
 
3.1%
무 10
 
2.8%
화 9
 
2.5%
림 9
 
2.5%
출 9
 
2.5%
센 7
 
2.0%
Other values (106) 225
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 328
92.1%
Space Separator 15
 
4.2%
Decimal Number 10
 
2.8%
Other Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 25
 
7.6%
소 23
 
7.0%
송 13
 
4.0%
사 11
 
3.4%
무 10
 
3.0%
화 9
 
2.7%
림 9
 
2.7%
출 9
 
2.7%
센 7
 
2.1%
파 7
 
2.1%
Other values (97) 205
62.5%
Decimal Number
ValueCountFrequency (%)
3 3
30.0%
2 2
20.0%
6 2
20.0%
1 2
20.0%
5 1
 
10.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 328
92.1%
Common 28
 
7.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 25
 
7.6%
소 23
 
7.0%
송 13
 
4.0%
사 11
 
3.4%
무 10
 
3.0%
화 9
 
2.7%
림 9
 
2.7%
출 9
 
2.7%
센 7
 
2.1%
파 7
 
2.1%
Other values (97) 205
62.5%
Common
ValueCountFrequency (%)
15
53.6%
3 3
 
10.7%
2 2
 
7.1%
6 2
 
7.1%
1 2
 
7.1%
5 1
 
3.6%
, 1
 
3.6%
( 1
 
3.6%
) 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 327
91.9%
ASCII 28
 
7.9%
Compat Jamo 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 25
 
7.6%
소 23
 
7.0%
송 13
 
4.0%
사 11
 
3.4%
무 10
 
3.1%
화 9
 
2.8%
림 9
 
2.8%
출 9
 
2.8%
센 7
 
2.1%
파 7
 
2.1%
Other values (96) 204
62.4%
ASCII
ValueCountFrequency (%)
15
53.6%
3 3
 
10.7%
2 2
 
7.1%
6 2
 
7.1%
1 2
 
7.1%
5 1
 
3.6%
, 1
 
3.6%
( 1
 
3.6%
) 1
 
3.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

동명칭
Text

MISSING 

Distinct19
Distinct (%)86.4%
Missing36
Missing (%)62.1%
Memory size596.0 B
2024-05-04T07:30:49.059733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length6
Mean length3.4090909
Min length2

Characters and Unicode

Total characters75
Distinct characters35
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)77.3%

Sample

1st row제1동
2nd row1동
3rd row방역창고 및 상황실
4th row2동
5th row2동
ValueCountFrequency (%)
2동 3
 
12.5%
제1동 2
 
8.3%
1동 1
 
4.2%
물치도관 1
 
4.2%
c동 1
 
4.2%
f동 1
 
4.2%
a동 1
 
4.2%
d동 1
 
4.2%
g동 1
 
4.2%
별관동 1
 
4.2%
Other values (11) 11
45.8%
2024-05-04T07:30:49.933958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 19
25.3%
2 4
 
5.3%
상 4
 
5.3%
제 4
 
5.3%
1 3
 
4.0%
관 3
 
4.0%
가 3
 
4.0%
익 3
 
4.0%
편 3
 
4.0%
C 2
 
2.7%
Other values (25) 27
36.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57
76.0%
Uppercase Letter 9
 
12.0%
Decimal Number 7
 
9.3%
Space Separator 2
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 19
33.3%
상 4
 
7.0%
제 4
 
7.0%
관 3
 
5.3%
가 3
 
5.3%
익 3
 
5.3%
편 3
 
5.3%
황 1
 
1.8%
소 1
 
1.8%
도 1
 
1.8%
Other values (15) 15
26.3%
Uppercase Letter
ValueCountFrequency (%)
C 2
22.2%
A 2
22.2%
F 1
11.1%
D 1
11.1%
G 1
11.1%
B 1
11.1%
E 1
11.1%
Decimal Number
ValueCountFrequency (%)
2 4
57.1%
1 3
42.9%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 57
76.0%
Common 9
 
12.0%
Latin 9
 
12.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 19
33.3%
상 4
 
7.0%
제 4
 
7.0%
관 3
 
5.3%
가 3
 
5.3%
익 3
 
5.3%
편 3
 
5.3%
황 1
 
1.8%
소 1
 
1.8%
도 1
 
1.8%
Other values (15) 15
26.3%
Latin
ValueCountFrequency (%)
C 2
22.2%
A 2
22.2%
F 1
11.1%
D 1
11.1%
G 1
11.1%
B 1
11.1%
E 1
11.1%
Common
ValueCountFrequency (%)
2 4
44.4%
1 3
33.3%
2
22.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 57
76.0%
ASCII 18
 
24.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 19
33.3%
상 4
 
7.0%
제 4
 
7.0%
관 3
 
5.3%
가 3
 
5.3%
익 3
 
5.3%
편 3
 
5.3%
황 1
 
1.8%
소 1
 
1.8%
도 1
 
1.8%
Other values (15) 15
26.3%
ASCII
ValueCountFrequency (%)
2 4
22.2%
1 3
16.7%
C 2
11.1%
A 2
11.1%
2
11.1%
F 1
 
5.6%
D 1
 
5.6%
G 1
 
5.6%
B 1
 
5.6%
E 1
 
5.6%

대지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)55.3%
Missing11
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean3714.3911
Minimum0
Maximum61681
Zeros20
Zeros (%)34.5%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-04T07:30:50.305044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median315
Q31293.55
95-th percentile29202.22
Maximum61681
Range61681
Interquartile range (IQR)1293.55

Descriptive statistics

Standard deviation11688.378
Coefficient of variation (CV)3.1467816
Kurtosis15.827364
Mean3714.3911
Median Absolute Deviation (MAD)315
Skewness3.9809336
Sum174576.38
Variance1.3661817 × 108
MonotonicityNot monotonic
2024-05-04T07:30:50.951266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.0 20
34.5%
38845.0 2
 
3.4%
2497.0 2
 
3.4%
630.0 1
 
1.7%
469.0 1
 
1.7%
627.8 1
 
1.7%
61681.0 1
 
1.7%
1387.1 1
 
1.7%
91.51 1
 
1.7%
1200.0 1
 
1.7%
Other values (16) 16
27.6%
(Missing) 11
19.0%
ValueCountFrequency (%)
0.0 20
34.5%
91.51 1
 
1.7%
93.1 1
 
1.7%
301.0 1
 
1.7%
315.0 1
 
1.7%
419.1 1
 
1.7%
469.0 1
 
1.7%
507.8 1
 
1.7%
627.8 1
 
1.7%
630.0 1
 
1.7%
ValueCountFrequency (%)
61681.0 1
1.7%
38845.0 2
3.4%
6702.4 1
1.7%
4959.0 1
1.7%
3343.3 1
1.7%
2497.0 2
3.4%
1984.0 1
1.7%
1642.0 1
1.7%
1478.4 1
1.7%
1387.1 1
1.7%

건축면적
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean306.54414
Minimum0
Maximum2548.65
Zeros6
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-04T07:30:51.284500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q165.4375
median151.655
Q3332
95-th percentile1041.2
Maximum2548.65
Range2548.65
Interquartile range (IQR)266.5625

Descriptive statistics

Standard deviation421.44287
Coefficient of variation (CV)1.3748195
Kurtosis13.635835
Mean306.54414
Median Absolute Deviation (MAD)115.805
Skewness3.195824
Sum17779.56
Variance177614.1
MonotonicityNot monotonic
2024-05-04T07:30:51.729605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
10.3%
1041.2 3
 
5.2%
139.64 2
 
3.4%
84.96 1
 
1.7%
321.05 1
 
1.7%
303.96 1
 
1.7%
1243.44 1
 
1.7%
245.3 1
 
1.7%
146.51 1
 
1.7%
37.14 1
 
1.7%
Other values (40) 40
69.0%
ValueCountFrequency (%)
0.0 6
10.3%
34.56 1
 
1.7%
37.14 1
 
1.7%
44.07 1
 
1.7%
44.88 1
 
1.7%
50.14 1
 
1.7%
57.51 1
 
1.7%
58.84 1
 
1.7%
59.2 1
 
1.7%
63.05 1
 
1.7%
ValueCountFrequency (%)
2548.65 1
 
1.7%
1243.44 1
 
1.7%
1041.2 3
5.2%
862.56 1
 
1.7%
748.45 1
 
1.7%
645.75 1
 
1.7%
559.34 1
 
1.7%
558.56 1
 
1.7%
457.5 1
 
1.7%
456.13 1
 
1.7%

연면적
Real number (ℝ)

Distinct57
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2352.0516
Minimum16.32
Maximum35192.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-04T07:30:52.143412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.32
5-th percentile34.344
Q1134.315
median338.245
Q31272.7825
95-th percentile9698.592
Maximum35192.31
Range35175.99
Interquartile range (IQR)1138.4675

Descriptive statistics

Standard deviation6421.8051
Coefficient of variation (CV)2.7302995
Kurtosis20.066583
Mean2352.0516
Median Absolute Deviation (MAD)275.2
Skewness4.4138269
Sum136418.99
Variance41239581
MonotonicityNot monotonic
2024-05-04T07:30:52.555347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
139.64 2
 
3.4%
77.61 1
 
1.7%
84.14 1
 
1.7%
3347.58 1
 
1.7%
541.02 1
 
1.7%
318.78 1
 
1.7%
37.14 1
 
1.7%
350.79 1
 
1.7%
429.5 1
 
1.7%
2437.15 1
 
1.7%
Other values (47) 47
81.0%
ValueCountFrequency (%)
16.32 1
1.7%
19.68 1
1.7%
33.12 1
1.7%
34.56 1
1.7%
37.14 1
1.7%
58.84 1
1.7%
60.16 1
1.7%
68.15 1
1.7%
70.38 1
1.7%
72.6 1
1.7%
ValueCountFrequency (%)
35192.31 1
1.7%
32740.74 1
1.7%
11650.77 1
1.7%
9354.09 1
1.7%
6461.24 1
1.7%
4538.7 1
1.7%
4430.1 1
1.7%
3347.58 1
1.7%
3232.8 1
1.7%
3106.05 1
1.7%

건폐율
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)59.5%
Missing16
Missing (%)27.6%
Infinite0
Infinite (%)0.0%
Mean22.487567
Minimum0
Maximum70.74
Zeros18
Zeros (%)31.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-04T07:30:52.790755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4.3149375
Q347.03
95-th percentile62.6455
Maximum70.74
Range70.74
Interquartile range (IQR)47.03

Descriptive statistics

Standard deviation25.799117
Coefficient of variation (CV)1.1472614
Kurtosis-1.4803424
Mean22.487567
Median Absolute Deviation (MAD)4.3149375
Skewness0.50576133
Sum944.47782
Variance665.59446
MonotonicityNot monotonic
2024-05-04T07:30:53.029453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.0 18
31.0%
62.67 1
 
1.7%
44.5 1
 
1.7%
62.18 1
 
1.7%
54.79 1
 
1.7%
46.55 1
 
1.7%
9.2 1
 
1.7%
37.83 1
 
1.7%
47.19 1
 
1.7%
4.7900751 1
 
1.7%
Other values (15) 15
25.9%
(Missing) 16
27.6%
ValueCountFrequency (%)
0.0 18
31.0%
0.0889 1
 
1.7%
0.2 1
 
1.7%
3.8398 1
 
1.7%
4.7900751 1
 
1.7%
9.2 1
 
1.7%
19.31 1
 
1.7%
22.88 1
 
1.7%
37.83 1
 
1.7%
41.88 1
 
1.7%
ValueCountFrequency (%)
70.74 1
1.7%
69.0 1
1.7%
62.67 1
1.7%
62.18 1
1.7%
58.47 1
1.7%
56.31 1
1.7%
54.79 1
1.7%
49.6 1
1.7%
47.74 1
1.7%
47.34 1
1.7%

용적율
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)59.5%
Missing16
Missing (%)27.6%
Infinite0
Infinite (%)0.0%
Mean63.16069
Minimum0
Maximum469.49
Zeros18
Zeros (%)31.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-04T07:30:53.402980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median9.585988
Q391.1425
95-th percentile240.875
Maximum469.49
Range469.49
Interquartile range (IQR)91.1425

Descriptive statistics

Standard deviation97.299186
Coefficient of variation (CV)1.5405023
Kurtosis6.9944307
Mean63.16069
Median Absolute Deviation (MAD)9.585988
Skewness2.3806117
Sum2652.749
Variance9467.1316
MonotonicityNot monotonic
2024-05-04T07:30:53.693935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.0 18
31.0%
168.73 1
 
1.7%
48.96 1
 
1.7%
304.53 1
 
1.7%
74.47 1
 
1.7%
243.91 1
 
1.7%
24.18 1
 
1.7%
75.59 1
 
1.7%
145.68 1
 
1.7%
15.508176 1
 
1.7%
Other values (15) 15
25.9%
(Missing) 16
27.6%
ValueCountFrequency (%)
0.0 18
31.0%
0.0889 1
 
1.7%
0.18 1
 
1.7%
3.6638 1
 
1.7%
15.508176 1
 
1.7%
24.18 1
 
1.7%
41.13 1
 
1.7%
48.96 1
 
1.7%
65.34 1
 
1.7%
74.47 1
 
1.7%
ValueCountFrequency (%)
469.49 1
1.7%
304.53 1
1.7%
243.91 1
1.7%
183.21 1
1.7%
168.73 1
1.7%
145.68 1
1.7%
118.15 1
1.7%
112.62 1
1.7%
110.13809 1
1.7%
107.49 1
1.7%

높이
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)67.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0458621
Minimum0
Maximum30.9
Zeros18
Zeros (%)31.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-04T07:30:54.072336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6.79
Q312.38
95-th percentile24.245
Maximum30.9
Range30.9
Interquartile range (IQR)12.38

Descriptive statistics

Standard deviation8.1767861
Coefficient of variation (CV)1.0162722
Kurtosis1.0533325
Mean8.0458621
Median Absolute Deviation (MAD)6.51
Skewness1.1686193
Sum466.66
Variance66.859832
MonotonicityNot monotonic
2024-05-04T07:30:54.492486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0.0 18
31.0%
4.6 2
 
3.4%
7.1 2
 
3.4%
5.25 1
 
1.7%
12.9 1
 
1.7%
3.8 1
 
1.7%
9.6 1
 
1.7%
29.6 1
 
1.7%
21.4 1
 
1.7%
21.0 1
 
1.7%
Other values (29) 29
50.0%
ValueCountFrequency (%)
0.0 18
31.0%
3.8 1
 
1.7%
3.95 1
 
1.7%
4.1 1
 
1.7%
4.4 1
 
1.7%
4.6 2
 
3.4%
5.25 1
 
1.7%
5.31 1
 
1.7%
5.8 1
 
1.7%
6.45 1
 
1.7%
ValueCountFrequency (%)
30.9 1
1.7%
30.6 1
1.7%
29.6 1
1.7%
23.3 1
1.7%
21.4 1
1.7%
21.0 1
1.7%
18.45 1
1.7%
18.2 1
1.7%
14.6 1
1.7%
14.0 1
1.7%

용적율산정연면적
Text

MISSING 

Distinct51
Distinct (%)89.5%
Missing1
Missing (%)1.7%
Memory size596.0 B
2024-05-04T07:30:54.933444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length5.3859649
Min length1

Characters and Unicode

Total characters307
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)84.2%

Sample

1st row77.61
2nd row1706.41
3rd row139.64
4th row223.2
5th row484.06
ValueCountFrequency (%)
0 5
 
8.8%
139.64 2
 
3.5%
3125.17 2
 
3.5%
68.15 1
 
1.8%
429.5 1
 
1.8%
4,224.16 1
 
1.8%
77.61 1
 
1.8%
1039.42 1
 
1.8%
2506.95 1
 
1.8%
857.52 1
 
1.8%
Other values (41) 41
71.9%
2024-05-04T07:30:55.691816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 50
16.3%
1 39
12.7%
4 29
9.4%
6 28
9.1%
7 26
8.5%
2 25
8.1%
5 24
7.8%
8 24
7.8%
3 21
6.8%
0 20
 
6.5%
Other values (2) 21
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 256
83.4%
Other Punctuation 51
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 39
15.2%
4 29
11.3%
6 28
10.9%
7 26
10.2%
2 25
9.8%
5 24
9.4%
8 24
9.4%
3 21
8.2%
0 20
7.8%
9 20
7.8%
Other Punctuation
ValueCountFrequency (%)
. 50
98.0%
, 1
 
2.0%

Most occurring scripts

ValueCountFrequency (%)
Common 307
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 50
16.3%
1 39
12.7%
4 29
9.4%
6 28
9.1%
7 26
8.5%
2 25
8.1%
5 24
7.8%
8 24
7.8%
3 21
6.8%
0 20
 
6.5%
Other values (2) 21
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 307
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 50
16.3%
1 39
12.7%
4 29
9.4%
6 28
9.1%
7 26
8.5%
2 25
8.1%
5 24
7.8%
8 24
7.8%
3 21
6.8%
0 20
 
6.5%
Other values (2) 21
6.8%

주구조
Categorical

IMBALANCE 

Distinct5
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size596.0 B
철근콘크리트구조
45 
벽돌구조
7 
일반철골구조
 
4
일반목구조
 
1
철골철근콘크리트구조
 
1

Length

Max length10
Median length8
Mean length7.362069
Min length4

Unique

Unique2 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
철근콘크리트구조 45
77.6%
벽돌구조 7
 
12.1%
일반철골구조 4
 
6.9%
일반목구조 1
 
1.7%
철골철근콘크리트구조 1
 
1.7%

Length

2024-05-04T07:30:56.053793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:30:56.395468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
철근콘크리트구조 45
77.6%
벽돌구조 7
 
12.1%
일반철골구조 4
 
6.9%
일반목구조 1
 
1.7%
철골철근콘크리트구조 1
 
1.7%

기타구조
Categorical

Distinct13
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
철근콘크리트조
22 
철근콘크리트구조
16 
조적조
4 
시멘트벽돌조
3 
판넬구조
 
2
Other values (8)
11 

Length

Max length23
Median length17
Mean length7.2931034
Min length2

Unique

Unique5 ?
Unique (%)8.6%

Sample

1st row철근콘크리트구조
2nd row철근콘크리트조
3rd row판넬구조
4th row철근콘크리트구조
5th row철근콘크리트조

Common Values

ValueCountFrequency (%)
철근콘크리트조 22
37.9%
철근콘크리트구조 16
27.6%
조적조 4
 
6.9%
시멘트벽돌조 3
 
5.2%
판넬구조 2
 
3.4%
철근콘크리트조외1 2
 
3.4%
일반철골구조 2
 
3.4%
<NA> 2
 
3.4%
철근콘크리트조외 1건 1
 
1.7%
목조 1
 
1.7%
Other values (3) 3
 
5.2%

Length

2024-05-04T07:30:56.760978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
철근콘크리트조 23
36.5%
철근콘크리트구조 17
27.0%
조적조 5
 
7.9%
시멘트벽돌조 4
 
6.3%
판넬구조 2
 
3.2%
철근콘크리트조외1 2
 
3.2%
일반철골구조 2
 
3.2%
na 2
 
3.2%
철근콘크리트조외 1
 
1.6%
1건 1
 
1.6%
Other values (4) 4
 
6.3%

주용도
Categorical

Distinct6
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size596.0 B
제1종근린생활시설
35 
업무시설
16 
판매시설
 
3
교육연구시설
 
2
제2종근린생활시설
 
1

Length

Max length9
Median length9
Mean length7.1896552
Min length4

Unique

Unique2 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
제1종근린생활시설 35
60.3%
업무시설 16
27.6%
판매시설 3
 
5.2%
교육연구시설 2
 
3.4%
제2종근린생활시설 1
 
1.7%
노유자시설 1
 
1.7%

Length

2024-05-04T07:30:57.149574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:30:57.568789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제1종근린생활시설 35
60.3%
업무시설 16
27.6%
판매시설 3
 
5.2%
교육연구시설 2
 
3.4%
제2종근린생활시설 1
 
1.7%
노유자시설 1
 
1.7%

기타용도
Categorical

Distinct28
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Memory size596.0 B
제1종근린생활시설
15 
업무시설
10 
사무실, 숙직실
3 
근린공공시설
 
2
공공업무시설
 
2
Other values (23)
26 

Length

Max length24
Median length19.5
Mean length8.0862069
Min length3

Unique

Unique20 ?
Unique (%)34.5%

Sample

1st row제1종근린생활시설
2nd row업무시설
3rd row공공업무시설(방역창고및 상황실)
4th row업무시설
5th row제1종근린생활시설

Common Values

ValueCountFrequency (%)
제1종근린생활시설 15
25.9%
업무시설 10
17.2%
사무실, 숙직실 3
 
5.2%
근린공공시설 2
 
3.4%
공공업무시설 2
 
3.4%
판매시설, 업무시설 2
 
3.4%
동사무소 2
 
3.4%
공공업무시설(방역창고및 상황실) 2
 
3.4%
근린공공시설(전신전화국) 1
 
1.7%
판매시설, 업무시설, 제2종근린생활시설 1
 
1.7%
Other values (18) 18
31.0%

Length

2024-05-04T07:30:58.174197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제1종근린생활시설 15
20.5%
업무시설 13
17.8%
사무실 6
 
8.2%
숙직실 3
 
4.1%
근린공공시설 3
 
4.1%
공공업무시설 3
 
4.1%
판매시설 3
 
4.1%
동사무소 2
 
2.7%
공공업무시설(방역창고및 2
 
2.7%
상황실 2
 
2.7%
Other values (21) 21
28.8%

주지붕
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size596.0 B
(철근)콘크리트
52 
기타지붕
 
5
기와
 
1

Length

Max length8
Median length8
Mean length7.5517241
Min length2

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
(철근)콘크리트 52
89.7%
기타지붕 5
 
8.6%
기와 1
 
1.7%

Length

2024-05-04T07:30:58.597275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:30:58.974309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
철근)콘크리트 52
89.7%
기타지붕 5
 
8.6%
기와 1
 
1.7%

기타지붕
Categorical

Distinct22
Distinct (%)37.9%
Missing0
Missing (%)0.0%
Memory size596.0 B
슬라브
24 
(철근)콘크리트
5 
<NA>
5 
평스라브
4 
스라브
 
2
Other values (17)
18 

Length

Max length19
Median length15
Mean length5.137931
Min length2

Unique

Unique16 ?
Unique (%)27.6%

Sample

1st row(철근)콘크리트 스라브
2nd row슬라브
3rd row일반철골조
4th row(철근)콘크리트(스라브)
5th row슬라브

Common Values

ValueCountFrequency (%)
슬라브 24
41.4%
(철근)콘크리트 5
 
8.6%
<NA> 5
 
8.6%
평스라브 4
 
6.9%
스라브 2
 
3.4%
스라브즙 2
 
3.4%
와즙 1
 
1.7%
일반철골조 1
 
1.7%
(철근)콘크리트(스라브) 1
 
1.7%
철근콘크리트구조 1
 
1.7%
Other values (12) 12
20.7%

Length

2024-05-04T07:30:59.332355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
슬라브 25
39.1%
철근)콘크리트 8
 
12.5%
na 5
 
7.8%
평스라브 5
 
7.8%
스라브 3
 
4.7%
스라브즙 2
 
3.1%
오메가루프판넬 1
 
1.6%
강판 1
 
1.6%
판넬지붕 1
 
1.6%
샌드위치판넬 1
 
1.6%
Other values (12) 12
18.8%

내진능력
Text

MISSING 

Distinct5
Distinct (%)71.4%
Missing51
Missing (%)87.9%
Memory size596.0 B
2024-05-04T07:30:59.663520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length6.5714286
Min length3

Characters and Unicode

Total characters46
Distinct characters15
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)57.1%

Sample

1st rowVII
2nd rowⅦ-0.197g
3rd rowⅧ-0.2992g
4th rowⅦ-0.176g
5th rowVII
ValueCountFrequency (%)
vii 3
42.9%
ⅶ-0.197g 1
 
14.3%
ⅷ-0.2992g 1
 
14.3%
ⅶ-0.176g 1
 
14.3%
vii등급-0.202g 1
 
14.3%
2024-05-04T07:31:00.418322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
I 8
17.4%
0 5
10.9%
V 4
8.7%
- 4
8.7%
. 4
8.7%
g 4
8.7%
2 4
8.7%
9 3
 
6.5%
Ⅶ 2
 
4.3%
1 2
 
4.3%
Other values (5) 6
13.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17
37.0%
Uppercase Letter 12
26.1%
Dash Punctuation 4
 
8.7%
Other Punctuation 4
 
8.7%
Lowercase Letter 4
 
8.7%
Letter Number 3
 
6.5%
Other Letter 2
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5
29.4%
2 4
23.5%
9 3
17.6%
1 2
 
11.8%
7 2
 
11.8%
6 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
I 8
66.7%
V 4
33.3%
Letter Number
ValueCountFrequency (%)
Ⅶ 2
66.7%
Ⅷ 1
33.3%
Other Letter
ValueCountFrequency (%)
등 1
50.0%
급 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
g 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25
54.3%
Latin 19
41.3%
Hangul 2
 
4.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5
20.0%
- 4
16.0%
. 4
16.0%
2 4
16.0%
9 3
12.0%
1 2
 
8.0%
7 2
 
8.0%
6 1
 
4.0%
Latin
ValueCountFrequency (%)
I 8
42.1%
V 4
21.1%
g 4
21.1%
Ⅶ 2
 
10.5%
Ⅷ 1
 
5.3%
Hangul
ValueCountFrequency (%)
등 1
50.0%
급 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41
89.1%
Number Forms 3
 
6.5%
Hangul 2
 
4.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
I 8
19.5%
0 5
12.2%
V 4
9.8%
- 4
9.8%
. 4
9.8%
g 4
9.8%
2 4
9.8%
9 3
 
7.3%
1 2
 
4.9%
7 2
 
4.9%
Number Forms
ValueCountFrequency (%)
Ⅶ 2
66.7%
Ⅷ 1
33.3%
Hangul
ValueCountFrequency (%)
등 1
50.0%
급 1
50.0%

내진설계적용여부
Boolean

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size190.0 B
False
42 
True
16 
ValueCountFrequency (%)
False 42
72.4%
True 16
 
27.6%
2024-05-04T07:31:00.728780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

지상층수
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)12.3%
Missing1
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean2.6140351
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-04T07:31:01.014503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile5.2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.5670079
Coefficient of variation (CV)0.5994594
Kurtosis3.958653
Mean2.6140351
Median Absolute Deviation (MAD)1
Skewness1.6569037
Sum149
Variance2.4555138
MonotonicityNot monotonic
2024-05-04T07:31:01.333966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 20
34.5%
1 13
22.4%
3 13
22.4%
5 4
 
6.9%
4 4
 
6.9%
6 2
 
3.4%
9 1
 
1.7%
(Missing) 1
 
1.7%
ValueCountFrequency (%)
1 13
22.4%
2 20
34.5%
3 13
22.4%
4 4
 
6.9%
5 4
 
6.9%
6 2
 
3.4%
9 1
 
1.7%
ValueCountFrequency (%)
9 1
 
1.7%
6 2
 
3.4%
5 4
 
6.9%
4 4
 
6.9%
3 13
22.4%
2 20
34.5%
1 13
22.4%

지하층수
Categorical

Distinct4
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size596.0 B
1
23 
<NA>
18 
0
13 
2
4 

Length

Max length4
Median length1
Mean length1.9310345
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row1
3rd row<NA>
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
1 23
39.7%
<NA> 18
31.0%
0 13
22.4%
2 4
 
6.9%

Length

2024-05-04T07:31:01.624398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:31:01.957217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 23
39.7%
na 18
31.0%
0 13
22.4%
2 4
 
6.9%

허가일
Date

MISSING 

Distinct49
Distinct (%)89.1%
Missing3
Missing (%)5.2%
Memory size596.0 B
Minimum1976-03-06 00:00:00
Maximum2022-07-27 00:00:00
2024-05-04T07:31:02.291299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:31:02.722544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)

착공일
Date

MISSING 

Distinct29
Distinct (%)90.6%
Missing26
Missing (%)44.8%
Memory size596.0 B
Minimum1990-11-13 00:00:00
Maximum2023-02-06 00:00:00
2024-05-04T07:31:03.118603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:31:03.492789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

사용승인일
Date

MISSING 

Distinct49
Distinct (%)87.5%
Missing2
Missing (%)3.4%
Memory size596.0 B
Minimum1977-03-17 00:00:00
Maximum2023-12-15 00:00:00
2024-05-04T07:31:03.859805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:31:04.285638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-04-18
58 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-04-18
2nd row2024-04-18
3rd row2024-04-18
4th row2024-04-18
5th row2024-04-18

Common Values

ValueCountFrequency (%)
2024-04-18 58
100.0%

Length

2024-05-04T07:31:04.709666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:31:05.008973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-04-18 58
100.0%

Sample

대장구분시도시군구법정동대지위치도로명주소외필지수건물명동명칭대지면적건축면적연면적건폐율용적율높이용적율산정연면적주구조기타구조주용도기타용도주지붕기타지붕내진능력내진설계적용여부지상층수지하층수허가일착공일사용승인일데이터기준일자
0일반인천광역시동구만석동인천광역시 동구 만석동 2-407인천광역시 동구 만석부두로 43 (만석동)0인천해양경찰서만석출장소제1동<NA>84.9677.61<NA><NA>5.2577.61철근콘크리트구조철근콘크리트구조제1종근린생활시설제1종근린생활시설(철근)콘크리트(철근)콘크리트 스라브<NA>N1<NA>2009-05-212009-05-292009-07-232024-04-18
1일반인천광역시동구만석동인천광역시 동구 만석동 18-3인천광역시 동구 석수로 90 (만석동)0<NA>1동<NA>748.451902.97<NA><NA>12.51706.41철근콘크리트구조철근콘크리트조업무시설업무시설(철근)콘크리트슬라브<NA>N311986-11-01<NA>1987-06-222024-04-18
2일반인천광역시동구만석동인천광역시 동구 만석동 18-3인천광역시 동구 석수로 90 (만석동)0동구보건소방역창고 및 상황실2497.0139.64139.64<NA><NA>4.6139.64일반철골구조판넬구조업무시설공공업무시설(방역창고및 상황실)기타지붕일반철골조VIIY1<NA>2020-10-202020-11-202021-03-052024-04-18
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4일반인천광역시동구만석동인천광역시 동구 만석동 18-4인천광역시 동구 석수로 96 (만석동)1만석동사무소<NA>1176.9269.22512.7322.8841.136.8484.06철근콘크리트구조철근콘크리트조제1종근린생활시설제1종근린생활시설(철근)콘크리트슬라브<NA>N211988-08-19<NA>1988-12-192024-04-18
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7일반인천광역시동구만석동인천광역시 동구 만석동 20-54인천광역시 동구 화도진로 146 (만석동)0인천동구선거관리위원회청사<NA>630.0281.73693.8744.719047110.1380913.4693.87철근콘크리트구조철근콘크리트구조제1종근린생활시설기타공공시설(철근)콘크리트철근콘크리트구조Ⅶ-0.197gY3<NA>2018-11-262019-03-122019-11-132024-04-18
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대장구분시도시군구법정동대지위치도로명주소외필지수건물명동명칭대지면적건축면적연면적건폐율용적율높이용적율산정연면적주구조기타구조주용도기타용도주지붕기타지붕내진능력내진설계적용여부지상층수지하층수허가일착공일사용승인일데이터기준일자
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51일반인천광역시동구송림동인천광역시 동구 송림동 297-20인천광역시 동구 방축로 193 (송림동)0<NA><NA>4959.0456.131484.099.224.1814.61198.91철근콘크리트구조철근콘크리트조노유자시설노인복지시설 및 공공업무시설(철근)콘크리트슬라브<NA>Y311995-08-291995-10-281996-09-302024-04-18
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