Overview

Dataset statistics

Number of variables7
Number of observations44
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory61.0 B

Variable types

Numeric2
Categorical2
Text2
Boolean1

Dataset

Description해당 데이터는 인천광역시 남동구의 이재민 임시거주시설에 관련된 자료로서, 인천광역시 남동구 이재민 임시거주시설의 연번, 시설구분, 시설명, 상세주소, 수용가능면적(m²), 연락처, 내진설계유무의 정보를 확인할 수 있다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15104007&srcSe=7661IVAWM27C61E190

Alerts

연락처 has constant value ""Constant
수용가능면적(제곱미터) is highly overall correlated with 시설구분High correlation
시설구분 is highly overall correlated with 수용가능면적(제곱미터)High correlation
시설구분 is highly imbalanced (55.4%)Imbalance
연번 has unique valuesUnique
시설명 has unique valuesUnique
상세주소 has unique valuesUnique

Reproduction

Analysis started2024-03-18 05:15:03.328069
Analysis finished2024-03-18 05:15:05.650655
Duration2.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.5
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-03-18T14:15:05.732435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.15
Q111.75
median22.5
Q333.25
95-th percentile41.85
Maximum44
Range43
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation12.845233
Coefficient of variation (CV)0.57089923
Kurtosis-1.2
Mean22.5
Median Absolute Deviation (MAD)11
Skewness0
Sum990
Variance165
MonotonicityStrictly increasing
2024-03-18T14:15:05.854041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
1 1
 
2.3%
24 1
 
2.3%
26 1
 
2.3%
27 1
 
2.3%
28 1
 
2.3%
29 1
 
2.3%
30 1
 
2.3%
31 1
 
2.3%
32 1
 
2.3%
33 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
1 1
2.3%
2 1
2.3%
3 1
2.3%
4 1
2.3%
5 1
2.3%
6 1
2.3%
7 1
2.3%
8 1
2.3%
9 1
2.3%
10 1
2.3%
ValueCountFrequency (%)
44 1
2.3%
43 1
2.3%
42 1
2.3%
41 1
2.3%
40 1
2.3%
39 1
2.3%
38 1
2.3%
37 1
2.3%
36 1
2.3%
35 1
2.3%

시설구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size484.0 B
학교
35 
관공서
경로당
 
2
체육관
 
1
기타시설
 
1

Length

Max length4
Median length2
Mean length2.2045455
Min length2

Unique

Unique3 ?
Unique (%)6.8%

Sample

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

Common Values

ValueCountFrequency (%)
학교 35
79.5%
관공서 4
 
9.1%
경로당 2
 
4.5%
체육관 1
 
2.3%
기타시설 1
 
2.3%
교회 1
 
2.3%

Length

2024-03-18T14:15:05.976929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:15:06.107866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학교 35
79.5%
관공서 4
 
9.1%
경로당 2
 
4.5%
체육관 1
 
2.3%
기타시설 1
 
2.3%
교회 1
 
2.3%

시설명
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-03-18T14:15:06.311162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length6
Mean length6.4090909
Min length5

Characters and Unicode

Total characters282
Distinct characters79
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

Unique44 ?
Unique (%)100.0%

Sample

1st row간석초등학교
2nd row구월서초등학교
3rd row구월여자중학교
4th row석천초등학교
5th row성리초등학교
ValueCountFrequency (%)
간석초등학교 1
 
2.2%
그랜드 1
 
2.2%
만수초등학교 1
 
2.2%
인동초등학교 1
 
2.2%
인수초등학교 1
 
2.2%
조동초등학교 1
 
2.2%
만수5동주민센터 1
 
2.2%
만월중학교 1
 
2.2%
서창중학교 1
 
2.2%
서창초등학교 1
 
2.2%
Other values (36) 36
78.3%
2024-03-18T14:15:06.621990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
 
12.8%
35
 
12.4%
27
 
9.6%
25
 
8.9%
11
 
3.9%
8
 
2.8%
7
 
2.5%
7
 
2.5%
6
 
2.1%
5
 
1.8%
Other values (69) 115
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 274
97.2%
Decimal Number 5
 
1.8%
Space Separator 2
 
0.7%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
36
 
13.1%
35
 
12.8%
27
 
9.9%
25
 
9.1%
11
 
4.0%
8
 
2.9%
7
 
2.6%
7
 
2.6%
6
 
2.2%
5
 
1.8%
Other values (62) 107
39.1%
Decimal Number
ValueCountFrequency (%)
3 1
20.0%
4 1
20.0%
1 1
20.0%
5 1
20.0%
2 1
20.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 274
97.2%
Common 8
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
36
 
13.1%
35
 
12.8%
27
 
9.9%
25
 
9.1%
11
 
4.0%
8
 
2.9%
7
 
2.6%
7
 
2.6%
6
 
2.2%
5
 
1.8%
Other values (62) 107
39.1%
Common
ValueCountFrequency (%)
2
25.0%
/ 1
12.5%
3 1
12.5%
4 1
12.5%
1 1
12.5%
5 1
12.5%
2 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 274
97.2%
ASCII 8
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
36
 
13.1%
35
 
12.8%
27
 
9.9%
25
 
9.1%
11
 
4.0%
8
 
2.9%
7
 
2.6%
7
 
2.6%
6
 
2.2%
5
 
1.8%
Other values (62) 107
39.1%
ASCII
ValueCountFrequency (%)
2
25.0%
/ 1
12.5%
3 1
12.5%
4 1
12.5%
1 1
12.5%
5 1
12.5%
2 1
12.5%

상세주소
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-03-18T14:15:06.859897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length27
Mean length24.522727
Min length20

Characters and Unicode

Total characters1079
Distinct characters77
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

Unique44 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 석산로208번길 37 /구월동
2nd row인천광역시 남동구 문화서로77번길 14 /구월동
3rd row인천광역시 남동구 성말로13번길 78 /구월동
4th row인천광역시 남동구 남동대로 828 /구월동
5th row인천광역시 남동구 성리로 32-2 /구월동
ValueCountFrequency (%)
인천광역시 44
19.9%
남동구 44
19.9%
만수동 13
 
5.9%
구월동 9
 
4.1%
간석동 7
 
3.2%
논현동 6
 
2.7%
서창동 5
 
2.3%
7 2
 
0.9%
14 2
 
0.9%
22 2
 
0.9%
Other values (80) 87
39.4%
2024-03-18T14:15:07.253867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
177
16.4%
89
 
8.2%
57
 
5.3%
49
 
4.5%
47
 
4.4%
46
 
4.3%
/ 44
 
4.1%
44
 
4.1%
44
 
4.1%
44
 
4.1%
Other values (67) 438
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 691
64.0%
Space Separator 177
 
16.4%
Decimal Number 164
 
15.2%
Other Punctuation 45
 
4.2%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
89
12.9%
57
 
8.2%
49
 
7.1%
47
 
6.8%
46
 
6.7%
44
 
6.4%
44
 
6.4%
44
 
6.4%
44
 
6.4%
24
 
3.5%
Other values (53) 203
29.4%
Decimal Number
ValueCountFrequency (%)
1 33
20.1%
2 32
19.5%
3 20
12.2%
7 15
9.1%
8 14
8.5%
4 13
 
7.9%
0 11
 
6.7%
6 10
 
6.1%
5 9
 
5.5%
9 7
 
4.3%
Other Punctuation
ValueCountFrequency (%)
/ 44
97.8%
. 1
 
2.2%
Space Separator
ValueCountFrequency (%)
177
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 691
64.0%
Common 388
36.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
89
12.9%
57
 
8.2%
49
 
7.1%
47
 
6.8%
46
 
6.7%
44
 
6.4%
44
 
6.4%
44
 
6.4%
44
 
6.4%
24
 
3.5%
Other values (53) 203
29.4%
Common
ValueCountFrequency (%)
177
45.6%
/ 44
 
11.3%
1 33
 
8.5%
2 32
 
8.2%
3 20
 
5.2%
7 15
 
3.9%
8 14
 
3.6%
4 13
 
3.4%
0 11
 
2.8%
6 10
 
2.6%
Other values (4) 19
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 691
64.0%
ASCII 388
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
177
45.6%
/ 44
 
11.3%
1 33
 
8.5%
2 32
 
8.2%
3 20
 
5.2%
7 15
 
3.9%
8 14
 
3.6%
4 13
 
3.4%
0 11
 
2.8%
6 10
 
2.6%
Other values (4) 19
 
4.9%
Hangul
ValueCountFrequency (%)
89
12.9%
57
 
8.2%
49
 
7.1%
47
 
6.8%
46
 
6.7%
44
 
6.4%
44
 
6.4%
44
 
6.4%
44
 
6.4%
24
 
3.5%
Other values (53) 203
29.4%

수용가능면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct40
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1213.0682
Minimum130
Maximum31295
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-03-18T14:15:07.375656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum130
5-th percentile166.8
Q1310.25
median547
Q3666.5
95-th percentile920
Maximum31295
Range31165
Interquartile range (IQR)356.25

Descriptive statistics

Standard deviation4646.4915
Coefficient of variation (CV)3.830363
Kurtosis43.75681
Mean1213.0682
Median Absolute Deviation (MAD)206.5
Skewness6.606372
Sum53375
Variance21589883
MonotonicityNot monotonic
2024-03-18T14:15:07.479266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
640 3
 
6.8%
920 2
 
4.5%
262 2
 
4.5%
344 1
 
2.3%
302 1
 
2.3%
305 1
 
2.3%
689 1
 
2.3%
498 1
 
2.3%
403 1
 
2.3%
165 1
 
2.3%
Other values (30) 30
68.2%
ValueCountFrequency (%)
130 1
2.3%
132 1
2.3%
165 1
2.3%
177 1
2.3%
189 1
2.3%
200 1
2.3%
262 2
4.5%
284 1
2.3%
302 1
2.3%
305 1
2.3%
ValueCountFrequency (%)
31295 1
2.3%
1102 1
2.3%
920 2
4.5%
805 1
2.3%
793 1
2.3%
766 1
2.3%
742 1
2.3%
728 1
2.3%
689 1
2.3%
680 1
2.3%

연락처
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
032-453-2330
44 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row032-453-2330
2nd row032-453-2330
3rd row032-453-2330
4th row032-453-2330
5th row032-453-2330

Common Values

ValueCountFrequency (%)
032-453-2330 44
100.0%

Length

2024-03-18T14:15:07.582321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:15:07.659046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
032-453-2330 44
100.0%
Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size176.0 B
True
24 
False
20 
ValueCountFrequency (%)
True 24
54.5%
False 20
45.5%
2024-03-18T14:15:07.735111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2024-03-18T14:15:05.335331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:15:05.150476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:15:05.404179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:15:05.268224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T14:15:07.793361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설구분시설명상세주소수용가능면적(제곱미터)내진설계유무
연번1.0000.5031.0001.0000.2220.508
시설구분0.5031.0001.0001.0001.0000.264
시설명1.0001.0001.0001.0001.0001.000
상세주소1.0001.0001.0001.0001.0001.000
수용가능면적(제곱미터)0.2221.0001.0001.0001.0000.000
내진설계유무0.5080.2641.0001.0000.0001.000
2024-03-18T14:15:07.897923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
내진설계유무시설구분
내진설계유무1.0000.173
시설구분0.1731.000
2024-03-18T14:15:07.993441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번수용가능면적(제곱미터)시설구분내진설계유무
연번1.0000.0050.2680.346
수용가능면적(제곱미터)0.0051.0000.9510.000
시설구분0.2680.9511.0000.173
내진설계유무0.3460.0000.1731.000

Missing values

2024-03-18T14:15:05.507489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T14:15:05.606059image/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

연번시설구분시설명상세주소수용가능면적(제곱미터)연락처내진설계유무
01학교간석초등학교인천광역시 남동구 석산로208번길 37 /구월동640032-453-2330Y
12학교구월서초등학교인천광역시 남동구 문화서로77번길 14 /구월동805032-453-2330Y
23학교구월여자중학교인천광역시 남동구 성말로13번길 78 /구월동920032-453-2330N
34학교석천초등학교인천광역시 남동구 남동대로 828 /구월동660032-453-2330Y
45학교성리초등학교인천광역시 남동구 성리로 32-2 /구월동132032-453-2330N
56학교신월초등학교인천광역시 남동구 인주대로776번길 14 /구월동262032-453-2330N
67학교정각초등학교인천광역시 남동구 구월로 228 /구월동526032-453-2330Y
78관공서구월3동주민센터인천광역시 남동구 문화서로 84 /구월동200032-453-2330N
89관공서구월4동주민센터인천광역시 남동구 구월말로 7 /구월동336032-453-2330N
910학교간석여자중학교인천광역시 남동구 간석로25번길 13 /간석동284032-453-2330N
연번시설구분시설명상세주소수용가능면적(제곱미터)연락처내진설계유무
3435학교남촌고등학교인천광역시 남동구 남촌로 101 /남촌동344032-453-2330N
3536체육관남동체육관인천광역시 남동구 소래로 500 /수산동31295032-453-2330Y
3637학교도림초등학교인천광역시 남동구 논고개로334번길 21 /도림동337032-453-2330Y
3738학교논곡초등학교인천광역시 남동구 함박뫼로 429 /논현동623032-453-2330Y
3839학교논현초등학교인천광역시 남동구 소래역로 102 /논현동640032-453-2330Y
3940학교동방초등학교인천광역시 남동구 논현역로 31 /논현동680032-453-2330Y
4041학교장도초등학교인천광역시 남동구 포구로 112 /논현동652032-453-2330Y
4142관공서남동문화원/소래아트홀인천광역시 남동구 아암대로1437번길 32 /논현동525032-453-2330Y
4243기타시설그랜드 팰리스 호텔인천광역시 남동구 호구포로 211 /논현동130032-453-2330Y
4344교회고잔감리교회인천광역시 남동구 앵고개로697번길 41 /고잔동572032-453-2330Y