Overview

Dataset statistics

Number of variables5
Number of observations37
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory44.6 B

Variable types

Categorical2
Text2
Numeric1

Dataset

Description인천광역시 동구 관내 건축물석면조사 대상 건축물 현황 데이터로, 구분, 건물명, 소재지, 연면적, 조사기한 등에 대한 항목을 게시하였습니다.
Author인천광역시 동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=3072921&srcSe=7661IVAWM27C61E190

Alerts

구분 has constant value ""Constant
조사기한 has constant value ""Constant
건물명 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2024-01-28 11:11:21.259329
Analysis finished2024-01-28 11:11:21.620587
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
어린이집
37 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
어린이집 37
100.0%

Length

2024-01-28T20:11:21.667543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T20:11:21.745878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어린이집 37
100.0%

건물명
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-01-28T20:11:21.909479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length7.3513514
Min length6

Characters and Unicode

Total characters272
Distinct characters89
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)100.0%

Sample

1st row만석어린이집
2nd row민들레어린이집
3rd row예린어린이집
4th row화평어린이집
5th row동구청직장어린이집
ValueCountFrequency (%)
만석어린이집 1
 
2.7%
꼬마궁전어린이집 1
 
2.7%
보물섬어린이집 1
 
2.7%
사과나무어린이집 1
 
2.7%
새별어린이집 1
 
2.7%
스누피어린이집 1
 
2.7%
아이맘어린이집 1
 
2.7%
엘림송현어린이집 1
 
2.7%
오즈어린이집 1
 
2.7%
이든샘어린이집 1
 
2.7%
Other values (27) 27
73.0%
2024-01-28T20:11:22.211192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 40
14.7%
린 38
14.0%
어 37
 
13.6%
집 37
 
13.6%
아 6
 
2.2%
별 5
 
1.8%
나 4
 
1.5%
마 4
 
1.5%
송 4
 
1.5%
림 4
 
1.5%
Other values (79) 93
34.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 272
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 40
14.7%
린 38
14.0%
어 37
 
13.6%
집 37
 
13.6%
아 6
 
2.2%
별 5
 
1.8%
나 4
 
1.5%
마 4
 
1.5%
송 4
 
1.5%
림 4
 
1.5%
Other values (79) 93
34.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 272
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 40
14.7%
린 38
14.0%
어 37
 
13.6%
집 37
 
13.6%
아 6
 
2.2%
별 5
 
1.8%
나 4
 
1.5%
마 4
 
1.5%
송 4
 
1.5%
림 4
 
1.5%
Other values (79) 93
34.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 272
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 40
14.7%
린 38
14.0%
어 37
 
13.6%
집 37
 
13.6%
아 6
 
2.2%
별 5
 
1.8%
나 4
 
1.5%
마 4
 
1.5%
송 4
 
1.5%
림 4
 
1.5%
Other values (79) 93
34.2%

소재지
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-01-28T20:11:22.412772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length40
Mean length35.27027
Min length15

Characters and Unicode

Total characters1305
Distinct characters89
Distinct categories7 ?
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 (%)100.0%

Sample

1st row인천광역시 동구 제물량로 345 -2
2nd row인천광역시 동구 화수로 38 3동 101호(송현동)
3rd row인천광역시 동구 화도진로 187 115동 103호(만석동, 만석비치타운주공아파트)
4th row인천광역시 동구 송화로23번길 4 (화평동)
5th row인천광역시 동구 금곡로 67
ValueCountFrequency (%)
인천광역시 37
 
15.7%
동구 37
 
15.7%
송미로 6
 
2.6%
송현로 6
 
2.6%
6 6
 
2.6%
화수로 5
 
2.1%
송림동 5
 
2.1%
관리동 5
 
2.1%
솔빛마을주공1차아파트 4
 
1.7%
50 4
 
1.7%
Other values (88) 120
51.1%
2024-01-28T20:11:22.934420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
200
 
15.3%
동 95
 
7.3%
1 77
 
5.9%
송 53
 
4.1%
시 42
 
3.2%
천 39
 
3.0%
0 39
 
3.0%
인 38
 
2.9%
광 37
 
2.8%
역 37
 
2.8%
Other values (79) 648
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 795
60.9%
Decimal Number 220
 
16.9%
Space Separator 200
 
15.3%
Open Punctuation 31
 
2.4%
Close Punctuation 31
 
2.4%
Other Punctuation 20
 
1.5%
Dash Punctuation 8
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 95
 
11.9%
송 53
 
6.7%
시 42
 
5.3%
천 39
 
4.9%
인 38
 
4.8%
광 37
 
4.7%
역 37
 
4.7%
구 37
 
4.7%
로 37
 
4.7%
아 36
 
4.5%
Other values (62) 344
43.3%
Decimal Number
ValueCountFrequency (%)
1 77
35.0%
0 39
17.7%
3 26
 
11.8%
2 22
 
10.0%
4 12
 
5.5%
5 12
 
5.5%
6 10
 
4.5%
8 9
 
4.1%
7 8
 
3.6%
9 5
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 18
90.0%
. 1
 
5.0%
/ 1
 
5.0%
Space Separator
ValueCountFrequency (%)
200
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 795
60.9%
Common 510
39.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 95
 
11.9%
송 53
 
6.7%
시 42
 
5.3%
천 39
 
4.9%
인 38
 
4.8%
광 37
 
4.7%
역 37
 
4.7%
구 37
 
4.7%
로 37
 
4.7%
아 36
 
4.5%
Other values (62) 344
43.3%
Common
ValueCountFrequency (%)
200
39.2%
1 77
 
15.1%
0 39
 
7.6%
( 31
 
6.1%
) 31
 
6.1%
3 26
 
5.1%
2 22
 
4.3%
, 18
 
3.5%
4 12
 
2.4%
5 12
 
2.4%
Other values (7) 42
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 795
60.9%
ASCII 510
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
200
39.2%
1 77
 
15.1%
0 39
 
7.6%
( 31
 
6.1%
) 31
 
6.1%
3 26
 
5.1%
2 22
 
4.3%
, 18
 
3.5%
4 12
 
2.4%
5 12
 
2.4%
Other values (7) 42
 
8.2%
Hangul
ValueCountFrequency (%)
동 95
 
11.9%
송 53
 
6.7%
시 42
 
5.3%
천 39
 
4.9%
인 38
 
4.8%
광 37
 
4.7%
역 37
 
4.7%
구 37
 
4.7%
로 37
 
4.7%
아 36
 
4.5%
Other values (62) 344
43.3%

연면적
Real number (ℝ)

Distinct30
Distinct (%)81.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.16216
Minimum46
Maximum313
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-01-28T20:11:23.038641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46
5-th percentile68
Q175
median90
Q3171
95-th percentile236.6
Maximum313
Range267
Interquartile range (IQR)96

Descriptive statistics

Standard deviation65.878893
Coefficient of variation (CV)0.51402763
Kurtosis0.67755535
Mean128.16216
Median Absolute Deviation (MAD)22
Skewness1.1032691
Sum4742
Variance4340.0285
MonotonicityNot monotonic
2024-01-28T20:11:23.133803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
69 3
 
8.1%
68 2
 
5.4%
223 2
 
5.4%
84 2
 
5.4%
74 2
 
5.4%
85 2
 
5.4%
313 1
 
2.7%
159 1
 
2.7%
86 1
 
2.7%
88 1
 
2.7%
Other values (20) 20
54.1%
ValueCountFrequency (%)
46 1
 
2.7%
68 2
5.4%
69 3
8.1%
73 1
 
2.7%
74 2
5.4%
75 1
 
2.7%
83 1
 
2.7%
84 2
5.4%
85 2
5.4%
86 1
 
2.7%
ValueCountFrequency (%)
313 1
2.7%
287 1
2.7%
224 1
2.7%
223 2
5.4%
191 1
2.7%
181 1
2.7%
179 1
2.7%
177 1
2.7%
171 1
2.7%
159 1
2.7%

조사기한
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
2020-12-31
37 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-12-31
2nd row2020-12-31
3rd row2020-12-31
4th row2020-12-31
5th row2020-12-31

Common Values

ValueCountFrequency (%)
2020-12-31 37
100.0%

Length

2024-01-28T20:11:23.224445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T20:11:23.306693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-12-31 37
100.0%

Interactions

2024-01-28T20:11:21.428153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T20:11:23.352056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건물명소재지연면적
건물명1.0001.0001.000
소재지1.0001.0001.000
연면적1.0001.0001.000

Missing values

2024-01-28T20:11:21.526337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T20:11:21.592168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

구분건물명소재지연면적조사기한
0어린이집만석어린이집인천광역시 동구 제물량로 345 -23132020-12-31
1어린이집민들레어린이집인천광역시 동구 화수로 38 3동 101호(송현동)852020-12-31
2어린이집예린어린이집인천광역시 동구 화도진로 187 115동 103호(만석동, 만석비치타운주공아파트)832020-12-31
3어린이집화평어린이집인천광역시 동구 송화로23번길 4 (화평동)2872020-12-31
4어린이집동구청직장어린이집인천광역시 동구 금곡로 671472020-12-31
5어린이집동국제강인천어린이집인천광역시 동구 송미로 6 110동 102호(송림동, 풍림아이원아파트)1712020-12-31
6어린이집송현초어린이집인천광역시 동구 송화로 45 송현초등학교내 (송현동)2232020-12-31
7어린이집고은어린이집인천광역시 동구 화도진로 109 화도진그린빌주공아파트 관리동1542020-12-31
8어린이집꼬마별어린이집인천광역시 동구 화수로47번길 13 (화수동)1362020-12-31
9어린이집꽃동산어린이집인천광역시 동구 새천년로38번길 11 동산휴먼시아아파트 관리동내 (송림동)1772020-12-31
구분건물명소재지연면적조사기한
27어린이집오즈어린이집인천광역시 동구 솔빛로 21 119동 107호(송현동, 솔빛마을주공1차아파트)902020-12-31
28어린이집이든샘어린이집인천광역시 동구 화도진로 132 103동 104호(화수동, 영풍아파트)842020-12-31
29어린이집초록나라어린이집인천광역시 동구 송미로 6 116-104 (송림동,송림풍림아이원)692020-12-31
30어린이집큰별어린이집인천광역시 동구 화수로 38 10-109(송현동,동부아파트)682020-12-31
31어린이집토마토어린이집인천광역시 동구 송향로 31 송림휴먼시아107/102882020-12-31
32어린이집푸른어린이집인천광역시 동구 송현로 39 201동 108호(송현동, 솔빛마을주공2차아파트)742020-12-31
33어린이집풍림아이어린이집인천광역시 동구 송미로 6 101동 103호 (송림동, 송림풍림아이원아파트)692020-12-31
34어린이집해달별어린이집인천광역시 동구 송향로 31 102동 103호(송림동, 송림휴먼시아1단지)682020-12-31
35어린이집햇살나무어린이집인천광역시 동구 화수로 8-10 204동 101호(송현동, 솔빛주공2차아파트)692020-12-31
36어린이집건영영아어린이집인천광역시 동구 송현로 50 104-102(송현동,솔빛마을주공아파트)862020-12-31