Overview

Dataset statistics

Number of variables7
Number of observations96
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.6 KiB
Average record size in memory59.3 B

Variable types

Categorical3
Text2
Numeric2

Dataset

Description인천광역시 서구 이재민 임시주거시설 지정 현황에 대한 데이터로 시설구분, 시설명, 상세주소, 내진설계 등의 정보가 포함되어 있습니다.
Author인천광역시 서구
URLhttps://www.data.go.kr/data/15090837/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
수용가능면적(제곱미터) is highly overall correlated with 수용가능인원(명) and 2 other fieldsHigh correlation
수용가능인원(명) is highly overall correlated with 수용가능면적(제곱미터) and 2 other fieldsHigh correlation
시설구분 is highly overall correlated with 수용가능면적(제곱미터) and 2 other fieldsHigh correlation
내진설계 is highly overall correlated with 수용가능면적(제곱미터) and 2 other fieldsHigh correlation
시설명 has unique valuesUnique
상세주소 has unique valuesUnique

Reproduction

Analysis started2024-03-14 19:20:47.292314
Analysis finished2024-03-14 19:20:48.858637
Duration1.57 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size896.0 B
학교
70 
경로당
25 
연수,숙박
 
1

Length

Max length5
Median length2
Mean length2.2916667
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
학교 70
72.9%
경로당 25
 
26.0%
연수,숙박 1
 
1.0%

Length

2024-03-15T04:20:48.994377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:20:49.278442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학교 70
72.9%
경로당 25
 
26.0%
연수,숙박 1
 
1.0%

시설명
Text

UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size896.0 B
2024-03-15T04:20:50.070887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length7.0833333
Min length5

Characters and Unicode

Total characters680
Distinct characters87
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

Unique96 ?
Unique (%)100.0%

Sample

1st row간재울중학교
2nd row검암중학교
3rd row백석고등학교
4th row백석중학교
5th row인천간재울초등학교
ValueCountFrequency (%)
간재울중학교 1
 
1.0%
제물포중학교 1
 
1.0%
검단고등학교 1
 
1.0%
인재개발원 1
 
1.0%
인천왕길초등학교 1
 
1.0%
인천단봉초등학교 1
 
1.0%
인천완정초등학교 1
 
1.0%
인천백석초등학교 1
 
1.0%
인천마전초등학교 1
 
1.0%
인천당하중학교 1
 
1.0%
Other values (87) 87
89.7%
2024-03-15T04:20:51.455722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 70
 
10.3%
교 70
 
10.3%
인 55
 
8.1%
천 53
 
7.8%
등 47
 
6.9%
초 40
 
5.9%
당 27
 
4.0%
경 26
 
3.8%
로 25
 
3.7%
중 23
 
3.4%
Other values (77) 244
35.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 670
98.5%
Decimal Number 9
 
1.3%
Space Separator 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 70
 
10.4%
교 70
 
10.4%
인 55
 
8.2%
천 53
 
7.9%
등 47
 
7.0%
초 40
 
6.0%
당 27
 
4.0%
경 26
 
3.9%
로 25
 
3.7%
중 23
 
3.4%
Other values (72) 234
34.9%
Decimal Number
ValueCountFrequency (%)
1 3
33.3%
3 3
33.3%
2 2
22.2%
4 1
 
11.1%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 670
98.5%
Common 10
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 70
 
10.4%
교 70
 
10.4%
인 55
 
8.2%
천 53
 
7.9%
등 47
 
7.0%
초 40
 
6.0%
당 27
 
4.0%
경 26
 
3.9%
로 25
 
3.7%
중 23
 
3.4%
Other values (72) 234
34.9%
Common
ValueCountFrequency (%)
1 3
30.0%
3 3
30.0%
2 2
20.0%
4 1
 
10.0%
1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 670
98.5%
ASCII 10
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 70
 
10.4%
교 70
 
10.4%
인 55
 
8.2%
천 53
 
7.9%
등 47
 
7.0%
초 40
 
6.0%
당 27
 
4.0%
경 26
 
3.9%
로 25
 
3.7%
중 23
 
3.4%
Other values (72) 234
34.9%
ASCII
ValueCountFrequency (%)
1 3
30.0%
3 3
30.0%
2 2
20.0%
4 1
 
10.0%
1
 
10.0%

상세주소
Text

UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size896.0 B
2024-03-15T04:20:52.546089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length23.677083
Min length20

Characters and Unicode

Total characters2273
Distinct characters109
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

Unique96 ?
Unique (%)100.0%

Sample

1st row인천광역시 서구 승학로512번길 34(검암동)
2nd row인천광역시 서구 검암로29번길 12(검암동)
3rd row인천광역시 서구 서곶로 701(백석동)
4th row인천광역시 서구 서곶로 695(백석동)
5th row인천광역시 서구 승학로 433(검암동)
ValueCountFrequency (%)
인천광역시 96
24.2%
서구 96
24.2%
석남동 4
 
1.0%
서곶로 3
 
0.8%
청라에메랄드로 3
 
0.8%
염곡로 3
 
0.8%
서달로 3
 
0.8%
청라사파이어로140번길 2
 
0.5%
서달로130번길 2
 
0.5%
대평로56번길 2
 
0.5%
Other values (167) 182
46.0%
2024-03-15T04:20:54.300575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
300
 
13.2%
서 108
 
4.8%
로 100
 
4.4%
시 97
 
4.3%
천 97
 
4.3%
인 96
 
4.2%
( 96
 
4.2%
광 96
 
4.2%
역 96
 
4.2%
구 96
 
4.2%
Other values (99) 1091
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1408
61.9%
Decimal Number 361
 
15.9%
Space Separator 300
 
13.2%
Open Punctuation 96
 
4.2%
Close Punctuation 96
 
4.2%
Dash Punctuation 12
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 108
 
7.7%
로 100
 
7.1%
시 97
 
6.9%
천 97
 
6.9%
인 96
 
6.8%
광 96
 
6.8%
역 96
 
6.8%
구 96
 
6.8%
동 96
 
6.8%
길 57
 
4.0%
Other values (85) 469
33.3%
Decimal Number
ValueCountFrequency (%)
1 78
21.6%
2 49
13.6%
3 44
12.2%
4 39
10.8%
5 31
 
8.6%
0 30
 
8.3%
6 24
 
6.6%
7 23
 
6.4%
8 23
 
6.4%
9 20
 
5.5%
Space Separator
ValueCountFrequency (%)
300
100.0%
Open Punctuation
ValueCountFrequency (%)
( 96
100.0%
Close Punctuation
ValueCountFrequency (%)
) 96
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1408
61.9%
Common 865
38.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 108
 
7.7%
로 100
 
7.1%
시 97
 
6.9%
천 97
 
6.9%
인 96
 
6.8%
광 96
 
6.8%
역 96
 
6.8%
구 96
 
6.8%
동 96
 
6.8%
길 57
 
4.0%
Other values (85) 469
33.3%
Common
ValueCountFrequency (%)
300
34.7%
( 96
 
11.1%
) 96
 
11.1%
1 78
 
9.0%
2 49
 
5.7%
3 44
 
5.1%
4 39
 
4.5%
5 31
 
3.6%
0 30
 
3.5%
6 24
 
2.8%
Other values (4) 78
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1408
61.9%
ASCII 865
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
300
34.7%
( 96
 
11.1%
) 96
 
11.1%
1 78
 
9.0%
2 49
 
5.7%
3 44
 
5.1%
4 39
 
4.5%
5 31
 
3.6%
0 30
 
3.5%
6 24
 
2.8%
Other values (4) 78
 
9.0%
Hangul
ValueCountFrequency (%)
서 108
 
7.7%
로 100
 
7.1%
시 97
 
6.9%
천 97
 
6.9%
인 96
 
6.8%
광 96
 
6.8%
역 96
 
6.8%
구 96
 
6.8%
동 96
 
6.8%
길 57
 
4.0%
Other values (85) 469
33.3%

내진설계
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size896.0 B
적용
64 
미적용
32 

Length

Max length3
Median length2
Mean length2.3333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row적용
2nd row적용
3rd row미적용
4th row적용
5th row미적용

Common Values

ValueCountFrequency (%)
적용 64
66.7%
미적용 32
33.3%

Length

2024-03-15T04:20:54.748887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:20:55.117596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적용 64
66.7%
미적용 32
33.3%

수용가능면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct86
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean564.34375
Minimum58
Maximum3039
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size992.0 B
2024-03-15T04:20:55.555132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum58
5-th percentile73.5
Q1211
median548
Q3766.25
95-th percentile1008
Maximum3039
Range2981
Interquartile range (IQR)555.25

Descriptive statistics

Standard deviation407.305
Coefficient of variation (CV)0.7217321
Kurtosis13.164822
Mean564.34375
Median Absolute Deviation (MAD)252
Skewness2.3708237
Sum54177
Variance165897.36
MonotonicityNot monotonic
2024-03-15T04:20:56.038611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
486 6
 
6.2%
494 2
 
2.1%
91 2
 
2.1%
844 2
 
2.1%
150 2
 
2.1%
758 2
 
2.1%
100 1
 
1.0%
506 1
 
1.0%
3039 1
 
1.0%
576 1
 
1.0%
Other values (76) 76
79.2%
ValueCountFrequency (%)
58 1
1.0%
66 1
1.0%
67 1
1.0%
68 1
1.0%
69 1
1.0%
75 1
1.0%
88 1
1.0%
90 1
1.0%
91 2
2.1%
98 1
1.0%
ValueCountFrequency (%)
3039 1
1.0%
1447 1
1.0%
1336 1
1.0%
1108 1
1.0%
1074 1
1.0%
986 1
1.0%
949 1
1.0%
942 1
1.0%
914 1
1.0%
911 1
1.0%

수용가능인원(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct81
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean216.55208
Minimum22
Maximum1168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size992.0 B
2024-03-15T04:20:56.560742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile27.5
Q180.75
median210
Q3294.25
95-th percentile387.5
Maximum1168
Range1146
Interquartile range (IQR)213.5

Descriptive statistics

Standard deviation156.6346
Coefficient of variation (CV)0.72331143
Kurtosis13.151154
Mean216.55208
Median Absolute Deviation (MAD)97
Skewness2.3696495
Sum20789
Variance24534.397
MonotonicityNot monotonic
2024-03-15T04:20:56.848581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186 6
 
6.2%
190 2
 
2.1%
324 2
 
2.1%
25 2
 
2.1%
57 2
 
2.1%
341 2
 
2.1%
250 2
 
2.1%
35 2
 
2.1%
209 2
 
2.1%
26 2
 
2.1%
Other values (71) 72
75.0%
ValueCountFrequency (%)
22 1
1.0%
25 2
2.1%
26 2
2.1%
28 1
1.0%
33 1
1.0%
34 1
1.0%
35 2
2.1%
37 1
1.0%
38 1
1.0%
44 1
1.0%
ValueCountFrequency (%)
1168 1
1.0%
556 1
1.0%
513 1
1.0%
426 1
1.0%
413 1
1.0%
379 1
1.0%
365 1
1.0%
362 1
1.0%
351 1
1.0%
350 1
1.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size896.0 B
2023-12-22
96 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-22
2nd row2023-12-22
3rd row2023-12-22
4th row2023-12-22
5th row2023-12-22

Common Values

ValueCountFrequency (%)
2023-12-22 96
100.0%

Length

2024-03-15T04:20:57.092597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:20:57.246033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-22 96
100.0%

Interactions

2024-03-15T04:20:48.102433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:20:47.732626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:20:48.255493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:20:47.942021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T04:20:57.384828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설구분시설명상세주소내진설계수용가능면적(제곱미터)수용가능인원(명)
시설구분1.0001.0001.0000.4970.9980.998
시설명1.0001.0001.0001.0001.0001.000
상세주소1.0001.0001.0001.0001.0001.000
내진설계0.4971.0001.0001.0000.9210.921
수용가능면적(제곱미터)0.9981.0001.0000.9211.0001.000
수용가능인원(명)0.9981.0001.0000.9211.0001.000
2024-03-15T04:20:57.657113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
내진설계시설구분
내진설계1.0000.753
시설구분0.7531.000
2024-03-15T04:20:57.918288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수용가능면적(제곱미터)수용가능인원(명)시설구분내진설계
수용가능면적(제곱미터)1.0001.0000.9340.733
수용가능인원(명)1.0001.0000.9340.733
시설구분0.9340.9341.0000.753
내진설계0.7330.7330.7531.000

Missing values

2024-03-15T04:20:48.547346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T04:20:48.774736image/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

시설구분시설명상세주소내진설계수용가능면적(제곱미터)수용가능인원(명)데이터기준일자
0학교간재울중학교인천광역시 서구 승학로512번길 34(검암동)적용4941902023-12-22
1학교검암중학교인천광역시 서구 검암로29번길 12(검암동)적용5632162023-12-22
2학교백석고등학교인천광역시 서구 서곶로 701(백석동)미적용6732582023-12-22
3학교백석중학교인천광역시 서구 서곶로 695(백석동)적용7582912023-12-22
4학교인천간재울초등학교인천광역시 서구 승학로 433(검암동)미적용4861862023-12-22
5학교인천검암초등학교인천광역시 서구 승학로599번길 45(검암동)미적용4861862023-12-22
6학교인천경서초등학교인천광역시 서구 경서로31번길 31(경서동)적용6302422023-12-22
7학교인천은지초등학교인천광역시 서구 승학로572번길 22(검암동)적용5181992023-12-22
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