Overview

Dataset statistics

Number of variables4
Number of observations41
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory36.2 B

Variable types

Numeric1
Categorical1
Text2

Dataset

Description인천광역시 연수구 석면조사대상 건축물에 대한 공공데이터로서 연번, 구분, 건축물명(상호), 주소 등의 항목으로 되어있습니다.
Author인천광역시 연수구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=3073220&srcSe=7661IVAWM27C61E190

Alerts

연번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
건축물명(상호) has unique valuesUnique

Reproduction

Analysis started2024-01-28 07:27:24.775886
Analysis finished2024-01-28 07:27:25.157259
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21
Minimum1
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2024-01-28T16:27:25.216011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q111
median21
Q331
95-th percentile39
Maximum41
Range40
Interquartile range (IQR)20

Descriptive statistics

Standard deviation11.979149
Coefficient of variation (CV)0.57043565
Kurtosis-1.2
Mean21
Median Absolute Deviation (MAD)10
Skewness0
Sum861
Variance143.5
MonotonicityStrictly increasing
2024-01-28T16:27:25.341974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1 1
 
2.4%
32 1
 
2.4%
24 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%
32 1
2.4%

구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size460.0 B
공공건축물
16 
어린이집
15 
불특정다수이용
6 
기타
4 

Length

Max length7
Median length5
Mean length4.6341463
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공공건축물 16
39.0%
어린이집 15
36.6%
불특정다수이용 6
 
14.6%
기타 4
 
9.8%

Length

2024-01-28T16:27:25.455254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T16:27:25.547318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공건축물 16
39.0%
어린이집 15
36.6%
불특정다수이용 6
 
14.6%
기타 4
 
9.8%

건축물명(상호)
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-01-28T16:27:25.731086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length8.6829268
Min length4

Characters and Unicode

Total characters356
Distinct characters135
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row애플어린이집
2nd row솔잎어린이집
3rd row피터팬어린이집
4th row미래클예능어린이집
5th row새싹어린이집
ValueCountFrequency (%)
주민센터 4
 
7.0%
한국전력 2
 
3.5%
인천지역본부 2
 
3.5%
애플어린이집 1
 
1.8%
솔잎어린이집 1
 
1.8%
송도오수중계펌프장 1
 
1.8%
동춘1동 1
 
1.8%
한국가스공사 1
 
1.8%
인천기지본부 1
 
1.8%
연수변전소 1
 
1.8%
Other values (42) 42
73.7%
2024-01-28T16:27:26.041283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17
 
4.8%
집 15
 
4.2%
어 14
 
3.9%
린 14
 
3.9%
이 14
 
3.9%
동 12
 
3.4%
터 9
 
2.5%
센 8
 
2.2%
수 8
 
2.2%
인 7
 
2.0%
Other values (125) 238
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 328
92.1%
Space Separator 17
 
4.8%
Decimal Number 7
 
2.0%
Close Punctuation 2
 
0.6%
Open Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
집 15
 
4.6%
어 14
 
4.3%
린 14
 
4.3%
이 14
 
4.3%
동 12
 
3.7%
터 9
 
2.7%
센 8
 
2.4%
수 8
 
2.4%
인 7
 
2.1%
지 7
 
2.1%
Other values (119) 220
67.1%
Decimal Number
ValueCountFrequency (%)
2 3
42.9%
1 2
28.6%
3 2
28.6%
Space Separator
ValueCountFrequency (%)
17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

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

Most frequent character per script

Hangul
ValueCountFrequency (%)
집 15
 
4.6%
어 14
 
4.3%
린 14
 
4.3%
이 14
 
4.3%
동 12
 
3.7%
터 9
 
2.7%
센 8
 
2.4%
수 8
 
2.4%
인 7
 
2.1%
지 7
 
2.1%
Other values (119) 220
67.1%
Common
ValueCountFrequency (%)
17
60.7%
2 3
 
10.7%
1 2
 
7.1%
) 2
 
7.1%
( 2
 
7.1%
3 2
 
7.1%

Most occurring blocks

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

Most frequent character per block

ASCII
ValueCountFrequency (%)
17
60.7%
2 3
 
10.7%
1 2
 
7.1%
) 2
 
7.1%
( 2
 
7.1%
3 2
 
7.1%
Hangul
ValueCountFrequency (%)
집 15
 
4.6%
어 14
 
4.3%
린 14
 
4.3%
이 14
 
4.3%
동 12
 
3.7%
터 9
 
2.7%
센 8
 
2.4%
수 8
 
2.4%
인 7
 
2.1%
지 7
 
2.1%
Other values (119) 220
67.1%

주소
Text

Distinct39
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-01-28T16:27:26.264890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length39
Mean length29.707317
Min length22

Characters and Unicode

Total characters1218
Distinct characters112
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

Unique38 ?
Unique (%)92.7%

Sample

1st row인천광역시 연수구 원인재로 59 (동춘동, 한양2차아파트)
2nd row인천광역시 연수구 옥련로97번길 13 (옥련동) 옥련동
3rd row인천광역시 연수구 청량로 210, 관리동 1층 (옥련동, 쌍용아파트)
4th row인천광역시 연수구 넘말로29번길 27, 미래클예능어린이집 (선학동)
5th row인천광역시 연수구 경원대로467번길 38 (선학동)
ValueCountFrequency (%)
인천광역시 41
17.7%
연수구 41
17.7%
동춘동 10
 
4.3%
옥련동 9
 
3.9%
청학동 8
 
3.5%
원인재로 6
 
2.6%
연수동 5
 
2.2%
183 4
 
1.7%
먼우금로 4
 
1.7%
관리동 4
 
1.7%
Other values (85) 99
42.9%
2024-01-28T16:27:26.596893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
190
 
15.6%
동 63
 
5.2%
수 49
 
4.0%
연 49
 
4.0%
인 48
 
3.9%
) 42
 
3.4%
천 42
 
3.4%
( 42
 
3.4%
광 42
 
3.4%
시 41
 
3.4%
Other values (102) 610
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 783
64.3%
Space Separator 190
 
15.6%
Decimal Number 142
 
11.7%
Close Punctuation 42
 
3.4%
Open Punctuation 42
 
3.4%
Other Punctuation 18
 
1.5%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 63
 
8.0%
수 49
 
6.3%
연 49
 
6.3%
인 48
 
6.1%
천 42
 
5.4%
광 42
 
5.4%
시 41
 
5.2%
역 41
 
5.2%
로 41
 
5.2%
구 41
 
5.2%
Other values (87) 326
41.6%
Decimal Number
ValueCountFrequency (%)
1 35
24.6%
2 17
12.0%
4 16
11.3%
8 16
11.3%
3 14
 
9.9%
5 11
 
7.7%
7 9
 
6.3%
9 9
 
6.3%
6 8
 
5.6%
0 7
 
4.9%
Space Separator
ValueCountFrequency (%)
190
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 783
64.3%
Common 435
35.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 63
 
8.0%
수 49
 
6.3%
연 49
 
6.3%
인 48
 
6.1%
천 42
 
5.4%
광 42
 
5.4%
시 41
 
5.2%
역 41
 
5.2%
로 41
 
5.2%
구 41
 
5.2%
Other values (87) 326
41.6%
Common
ValueCountFrequency (%)
190
43.7%
) 42
 
9.7%
( 42
 
9.7%
1 35
 
8.0%
, 18
 
4.1%
2 17
 
3.9%
4 16
 
3.7%
8 16
 
3.7%
3 14
 
3.2%
5 11
 
2.5%
Other values (5) 34
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 783
64.3%
ASCII 435
35.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
190
43.7%
) 42
 
9.7%
( 42
 
9.7%
1 35
 
8.0%
, 18
 
4.1%
2 17
 
3.9%
4 16
 
3.7%
8 16
 
3.7%
3 14
 
3.2%
5 11
 
2.5%
Other values (5) 34
 
7.8%
Hangul
ValueCountFrequency (%)
동 63
 
8.0%
수 49
 
6.3%
연 49
 
6.3%
인 48
 
6.1%
천 42
 
5.4%
광 42
 
5.4%
시 41
 
5.2%
역 41
 
5.2%
로 41
 
5.2%
구 41
 
5.2%
Other values (87) 326
41.6%

Interactions

2024-01-28T16:27:24.960893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T16:27:26.925416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분건축물명(상호)주소
연번1.0000.7501.0000.943
구분0.7501.0001.0000.938
건축물명(상호)1.0001.0001.0001.000
주소0.9430.9381.0001.000
2024-01-28T16:27:27.002308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.551
구분0.5511.000

Missing values

2024-01-28T16:27:25.059258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T16:27:25.127607image/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

연번구분건축물명(상호)주소
01어린이집애플어린이집인천광역시 연수구 원인재로 59 (동춘동, 한양2차아파트)
12어린이집솔잎어린이집인천광역시 연수구 옥련로97번길 13 (옥련동) 옥련동
23어린이집피터팬어린이집인천광역시 연수구 청량로 210, 관리동 1층 (옥련동, 쌍용아파트)
34어린이집미래클예능어린이집인천광역시 연수구 넘말로29번길 27, 미래클예능어린이집 (선학동)
45어린이집새싹어린이집인천광역시 연수구 경원대로467번길 38 (선학동)
56공공건축물동춘3동행정복지센터인천광역시 연수구 원인재로 110 (동춘동)
67어린이집푸른세상어린이집인천광역시 연수구 원인재로 14, 관리동 1층 (동춘동, 무지개마을아파트)
78어린이집뜨락어린이집인천광역시 연수구 한나루로105번길 68, 관리동 (옥련동, 현대4차아파트)
89어린이집연화예술어린이집인천광역시 연수구 새말로 134, 세경아파트 관리동 2층 (연수동, 세경아파트)
910불특정다수이용학산학원인천광역시 연수구 먼우금로 92, 대광빌딩 4층 (동춘동)
연번구분건축물명(상호)주소
3132공공건축물한국전력 인천지역본부 송도변전소인천광역시 연수구 아카데미로51번길 45 (송도동)
3233공공건축물동춘2동 주민센터인천광역시 연수구 먼우금로 41 (동춘동)
3334공공건축물연수3동 주민센터인천광역시 연수구 원인재로 283 (연수동)
3435불특정다수이용우성2차아파트 상가동인천광역시 연수구 원인재로 180 (연수동, 연수우성2차아파트)
3536공공건축물남인천농협인천광역시 연수구 한나루로 188 (옥련동)
3637불특정다수이용롯데마트 연수점인천광역시 연수구 청능대로 87 (청학동)
3738기타노인돌봄의 집인천광역시 연수구 청능말로7번길 1 (청학동)
3839불특정다수이용송도베스트요양병원인천광역시 연수구 옥련로 29 (옥련동)
3940불특정다수이용브랫슬(실내주차장)인천광역시 연수구 벚꽃로 114 (연수동)
4041어린이집여성의광장어린이집인천광역시 연수구 앵고개로 183 (동춘동)