Overview

Dataset statistics

Number of variables7
Number of observations37
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory61.6 B

Variable types

Categorical2
Text2
Boolean1
Numeric2

Dataset

Description연수구 내 이재민 임시주거시설 지정 현황 (시설명, 장소 도로명 주소, 면적, 수용인원 등)<br/>- 시설명, 장소, 임시 주거시설 용도, 면적, 수용인원으로 구분
Author인천광역시 연수구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15065208&srcSe=7661IVAWM27C61E190

Alerts

면적(제곱미터) is highly overall correlated with 수용(명)High correlation
수용(명) is highly overall correlated with 면적(제곱미터)High correlation
시설구분 is highly overall correlated with 임시주거시설 용도High correlation
임시주거시설 용도 is highly overall correlated with 시설구분High correlation
시설명 has unique valuesUnique
장소(도로명 주소) has unique valuesUnique

Reproduction

Analysis started2024-04-06 09:37:32.065133
Analysis finished2024-04-06 09:37:33.807841
Duration1.74 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size428.0 B
학교
28 
동주민센터
7 
경로당
 
1
기타
 
1

Length

Max length5
Median length2
Mean length2.5945946
Min length2

Unique

Unique2 ?
Unique (%)5.4%

Sample

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

Common Values

ValueCountFrequency (%)
학교 28
75.7%
동주민센터 7
 
18.9%
경로당 1
 
2.7%
기타 1
 
2.7%

Length

2024-04-06T18:37:33.914439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:37:34.093137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학교 28
75.7%
동주민센터 7
 
18.9%
경로당 1
 
2.7%
기타 1
 
2.7%

시설명
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-04-06T18:37:34.358935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length6.4864865
Min length5

Characters and Unicode

Total characters240
Distinct characters62
Distinct categories3 ?
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 row능허대초등학교
2nd row선학초등학교
3rd row문남초등학교
4th row연화중학교
5th row연수중학교
ValueCountFrequency (%)
능허대초등학교 1
 
2.6%
청학골 1
 
2.6%
해송고등학교 1
 
2.6%
신정중학교 1
 
2.6%
송명초등학교 1
 
2.6%
송원초등학교 1
 
2.6%
송일초등학교 1
 
2.6%
예송중학교 1
 
2.6%
예송초등학교 1
 
2.6%
경로당 1
 
2.6%
Other values (28) 28
73.7%
2024-04-06T18:37:34.999939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 36
15.0%
교 28
 
11.7%
등 20
 
8.3%
초 18
 
7.5%
동 11
 
4.6%
송 10
 
4.2%
중 8
 
3.3%
정 7
 
2.9%
센 7
 
2.9%
터 7
 
2.9%
Other values (52) 88
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 234
97.5%
Decimal Number 5
 
2.1%
Space Separator 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 36
15.4%
교 28
 
12.0%
등 20
 
8.5%
초 18
 
7.7%
동 11
 
4.7%
송 10
 
4.3%
중 8
 
3.4%
정 7
 
3.0%
센 7
 
3.0%
터 7
 
3.0%
Other values (48) 82
35.0%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
1 2
40.0%
3 1
20.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 234
97.5%
Common 6
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 36
15.4%
교 28
 
12.0%
등 20
 
8.5%
초 18
 
7.7%
동 11
 
4.7%
송 10
 
4.3%
중 8
 
3.4%
정 7
 
3.0%
센 7
 
3.0%
터 7
 
3.0%
Other values (48) 82
35.0%
Common
ValueCountFrequency (%)
2 2
33.3%
1 2
33.3%
1
16.7%
3 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 234
97.5%
ASCII 6
 
2.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 36
15.4%
교 28
 
12.0%
등 20
 
8.5%
초 18
 
7.7%
동 11
 
4.7%
송 10
 
4.3%
중 8
 
3.4%
정 7
 
3.0%
센 7
 
3.0%
터 7
 
3.0%
Other values (48) 82
35.0%
ASCII
ValueCountFrequency (%)
2 2
33.3%
1 2
33.3%
1
16.7%
3 1
16.7%

장소(도로명 주소)
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-04-06T18:37:35.304448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length24
Mean length20.594595
Min length16

Characters and Unicode

Total characters762
Distinct characters72
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

Unique37 ?
Unique (%)100.0%

Sample

1st row인천광역시 연수구 한진로 12(옥련동)
2nd row인천광역시 연수구 선학로 67(선학동)
3rd row인천광역시 연수구 먼우금로 273(연수동)
4th row인천광역시 연수구 용담로 156(연수동)
5th row인천광역시 연수구 원인재로 231(연수동)
ValueCountFrequency (%)
인천광역시 37
25.0%
연수구 37
25.0%
먼우금로 5
 
3.4%
원인재로 4
 
2.7%
선학로 3
 
2.0%
함박뫼로 3
 
2.0%
54 2
 
1.4%
한진로 2
 
1.4%
송도교육로 2
 
1.4%
19 2
 
1.4%
Other values (49) 51
34.5%
2024-04-06T18:37:35.708115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
111
 
14.6%
인 41
 
5.4%
연 41
 
5.4%
수 41
 
5.4%
시 40
 
5.2%
광 37
 
4.9%
역 37
 
4.9%
구 37
 
4.9%
천 37
 
4.9%
로 37
 
4.9%
Other values (62) 303
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 511
67.1%
Space Separator 111
 
14.6%
Decimal Number 110
 
14.4%
Open Punctuation 15
 
2.0%
Close Punctuation 15
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 41
 
8.0%
연 41
 
8.0%
수 41
 
8.0%
시 40
 
7.8%
광 37
 
7.2%
역 37
 
7.2%
구 37
 
7.2%
천 37
 
7.2%
로 37
 
7.2%
동 18
 
3.5%
Other values (49) 145
28.4%
Decimal Number
ValueCountFrequency (%)
2 23
20.9%
1 20
18.2%
5 13
11.8%
3 12
10.9%
4 10
9.1%
6 9
 
8.2%
0 7
 
6.4%
7 6
 
5.5%
8 6
 
5.5%
9 4
 
3.6%
Space Separator
ValueCountFrequency (%)
111
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 511
67.1%
Common 251
32.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 41
 
8.0%
연 41
 
8.0%
수 41
 
8.0%
시 40
 
7.8%
광 37
 
7.2%
역 37
 
7.2%
구 37
 
7.2%
천 37
 
7.2%
로 37
 
7.2%
동 18
 
3.5%
Other values (49) 145
28.4%
Common
ValueCountFrequency (%)
111
44.2%
2 23
 
9.2%
1 20
 
8.0%
( 15
 
6.0%
) 15
 
6.0%
5 13
 
5.2%
3 12
 
4.8%
4 10
 
4.0%
6 9
 
3.6%
0 7
 
2.8%
Other values (3) 16
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 511
67.1%
ASCII 251
32.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
111
44.2%
2 23
 
9.2%
1 20
 
8.0%
( 15
 
6.0%
) 15
 
6.0%
5 13
 
5.2%
3 12
 
4.8%
4 10
 
4.0%
6 9
 
3.6%
0 7
 
2.8%
Other values (3) 16
 
6.4%
Hangul
ValueCountFrequency (%)
인 41
 
8.0%
연 41
 
8.0%
수 41
 
8.0%
시 40
 
7.8%
광 37
 
7.2%
역 37
 
7.2%
구 37
 
7.2%
천 37
 
7.2%
로 37
 
7.2%
동 18
 
3.5%
Other values (49) 145
28.4%

내진설계 여부
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size169.0 B
True
32 
False
5 
ValueCountFrequency (%)
True 32
86.5%
False 5
 
13.5%
2024-04-06T18:37:35.826633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

임시주거시설 용도
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Memory size428.0 B
강당
18 
본관
7 
교사동
5 
다목적강당
3 
급식소동/다목적강당
 
1
Other values (3)
3 

Length

Max length10
Median length2
Mean length2.8108108
Min length2

Unique

Unique4 ?
Unique (%)10.8%

Sample

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

Common Values

ValueCountFrequency (%)
강당 18
48.6%
본관 7
 
18.9%
교사동 5
 
13.5%
다목적강당 3
 
8.1%
급식소동/다목적강당 1
 
2.7%
급식동 1
 
2.7%
교사2동/후관동 1
 
2.7%
경로당 1
 
2.7%

Length

2024-04-06T18:37:35.988211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:37:36.158481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강당 18
48.6%
본관 7
 
18.9%
교사동 5
 
13.5%
다목적강당 3
 
8.1%
급식소동/다목적강당 1
 
2.7%
급식동 1
 
2.7%
교사2동/후관동 1
 
2.7%
경로당 1
 
2.7%

면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct36
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1178.9189
Minimum100
Maximum15579
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-04-06T18:37:36.284728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile243.2
Q1495
median632
Q3894
95-th percentile2200.8
Maximum15579
Range15479
Interquartile range (IQR)399

Descriptive statistics

Standard deviation2498.3966
Coefficient of variation (CV)2.1192268
Kurtosis32.972824
Mean1178.9189
Median Absolute Deviation (MAD)227
Skewness5.6211304
Sum43620
Variance6241985.6
MonotonicityNot monotonic
2024-04-06T18:37:36.480588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
612 2
 
5.4%
444 1
 
2.7%
605 1
 
2.7%
708 1
 
2.7%
511 1
 
2.7%
3168 1
 
2.7%
1959 1
 
2.7%
649 1
 
2.7%
100 1
 
2.7%
1668 1
 
2.7%
Other values (26) 26
70.3%
ValueCountFrequency (%)
100 1
2.7%
144 1
2.7%
268 1
2.7%
290 1
2.7%
308 1
2.7%
364 1
2.7%
405 1
2.7%
422 1
2.7%
444 1
2.7%
495 1
2.7%
ValueCountFrequency (%)
15579 1
2.7%
3168 1
2.7%
1959 1
2.7%
1668 1
2.7%
1506 1
2.7%
1402 1
2.7%
1039 1
2.7%
950 1
2.7%
901 1
2.7%
894 1
2.7%

수용(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct36
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean378.08108
Minimum38
Maximum4721
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-04-06T18:37:36.710563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38
5-th percentile85.4
Q1154
median235
Q3315
95-th percentile704.8
Maximum4721
Range4683
Interquartile range (IQR)161

Descriptive statistics

Standard deviation755.0243
Coefficient of variation (CV)1.9969904
Kurtosis32.679393
Mean378.08108
Median Absolute Deviation (MAD)81
Skewness5.5842392
Sum13989
Variance570061.69
MonotonicityNot monotonic
2024-04-06T18:37:36.923449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
235 2
 
5.4%
135 1
 
2.7%
183 1
 
2.7%
215 1
 
2.7%
155 1
 
2.7%
960 1
 
2.7%
594 1
 
2.7%
197 1
 
2.7%
38 1
 
2.7%
641 1
 
2.7%
Other values (26) 26
70.3%
ValueCountFrequency (%)
38 1
2.7%
55 1
2.7%
93 1
2.7%
103 1
2.7%
110 1
2.7%
112 1
2.7%
128 1
2.7%
135 1
2.7%
150 1
2.7%
154 1
2.7%
ValueCountFrequency (%)
4721 1
2.7%
960 1
2.7%
641 1
2.7%
594 1
2.7%
456 1
2.7%
425 1
2.7%
365 1
2.7%
344 1
2.7%
341 1
2.7%
315 1
2.7%

Interactions

2024-04-06T18:37:33.349623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:37:32.945722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:37:33.449051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:37:33.203712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T18:37:37.063888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설구분시설명장소(도로명 주소)내진설계 여부임시주거시설 용도면적(제곱미터)수용(명)
시설구분1.0001.0001.0000.0000.9710.3190.319
시설명1.0001.0001.0001.0001.0001.0001.000
장소(도로명 주소)1.0001.0001.0001.0001.0001.0001.000
내진설계 여부0.0001.0001.0001.0000.0000.0000.000
임시주거시설 용도0.9711.0001.0000.0001.0000.2460.246
면적(제곱미터)0.3191.0001.0000.0000.2461.0001.000
수용(명)0.3191.0001.0000.0000.2461.0001.000
2024-04-06T18:37:37.210280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
임시주거시설 용도내진설계 여부시설구분
임시주거시설 용도1.0000.0000.723
내진설계 여부0.0001.0000.000
시설구분0.7230.0001.000
2024-04-06T18:37:37.336135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
면적(제곱미터)수용(명)시설구분내진설계 여부임시주거시설 용도
면적(제곱미터)1.0000.9750.2990.0000.129
수용(명)0.9751.0000.2990.0000.129
시설구분0.2990.2991.0000.0000.723
내진설계 여부0.0000.0000.0001.0000.000
임시주거시설 용도0.1290.1290.7230.0001.000

Missing values

2024-04-06T18:37:33.591066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T18:37:33.730186image/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

시설구분시설명장소(도로명 주소)내진설계 여부임시주거시설 용도면적(제곱미터)수용(명)
0학교능허대초등학교인천광역시 연수구 한진로 12(옥련동)N강당612235
1학교선학초등학교인천광역시 연수구 선학로 67(선학동)N강당628242
2학교문남초등학교인천광역시 연수구 먼우금로 273(연수동)N강당612235
3학교연화중학교인천광역시 연수구 용담로 156(연수동)N강당268103
4학교연수중학교인천광역시 연수구 원인재로 231(연수동)N강당894344
5학교인천중학교인천광역시 연수구 함박뫼로 203(연수동)Y강당950365
6학교함박중학교인천광역시 연수구 솔샘로 143(청학동)Y강당405156
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