Overview

Dataset statistics

Number of variables6
Number of observations49
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory53.7 B

Variable types

Numeric3
Text2
Categorical1

Dataset

Description대전광역시 서구 이재민수용시설 현황(시설명, 위치, 면적, 수용인원)입니다. 이재밀수용시설은 재해로 피해를 입은 이재민의 임시주거를 위한 급식 급수등 생활필수실 및 편의시설이 설치된 임시주거시설입니다.
URLhttps://www.data.go.kr/data/15036992/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
면적(제곱미터) is highly overall correlated with 수용(명)High correlation
수용(명) is highly overall correlated with 면적(제곱미터)High correlation
구분 has unique valuesUnique
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:17:52.202226
Analysis finished2023-12-12 23:17:53.509985
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25
Minimum1
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-13T08:17:53.596371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.4
Q113
median25
Q337
95-th percentile46.6
Maximum49
Range48
Interquartile range (IQR)24

Descriptive statistics

Standard deviation14.28869
Coefficient of variation (CV)0.57154761
Kurtosis-1.2
Mean25
Median Absolute Deviation (MAD)12
Skewness0
Sum1225
Variance204.16667
MonotonicityStrictly increasing
2023-12-13T08:17:53.758412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1 1
 
2.0%
38 1
 
2.0%
28 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%
41 1
2.0%
40 1
2.0%

시설명
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-13T08:17:54.014263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length6.6326531
Min length5

Characters and Unicode

Total characters325
Distinct characters89
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)100.0%

Sample

1st row오량경로당
2nd row오량실내테니스장
3rd row대전신계초등학교
4th row도마1경로당
5th row도림정경로당
ValueCountFrequency (%)
오량경로당 1
 
2.0%
월평초등학교 1
 
2.0%
월평종합사회복지관 1
 
2.0%
한밭종합사회복지관 1
 
2.0%
대전갑천초등학교 1
 
2.0%
성룡초등학교 1
 
2.0%
가수원중학교 1
 
2.0%
가수원초등학교 1
 
2.0%
대전도안초등학교 1
 
2.0%
관저고등학교 1
 
2.0%
Other values (39) 39
79.6%
2023-12-13T08:17:54.436113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 30
 
9.2%
학 29
 
8.9%
등 22
 
6.8%
초 18
 
5.5%
전 10
 
3.1%
경 10
 
3.1%
로 10
 
3.1%
당 10
 
3.1%
대 10
 
3.1%
관 9
 
2.8%
Other values (79) 167
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 323
99.4%
Decimal Number 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 30
 
9.3%
학 29
 
9.0%
등 22
 
6.8%
초 18
 
5.6%
전 10
 
3.1%
경 10
 
3.1%
로 10
 
3.1%
당 10
 
3.1%
대 10
 
3.1%
관 9
 
2.8%
Other values (77) 165
51.1%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
1 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 323
99.4%
Common 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 30
 
9.3%
학 29
 
9.0%
등 22
 
6.8%
초 18
 
5.6%
전 10
 
3.1%
경 10
 
3.1%
로 10
 
3.1%
당 10
 
3.1%
대 10
 
3.1%
관 9
 
2.8%
Other values (77) 165
51.1%
Common
ValueCountFrequency (%)
3 1
50.0%
1 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 323
99.4%
ASCII 2
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 30
 
9.3%
학 29
 
9.0%
등 22
 
6.8%
초 18
 
5.6%
전 10
 
3.1%
경 10
 
3.1%
로 10
 
3.1%
당 10
 
3.1%
대 10
 
3.1%
관 9
 
2.8%
Other values (77) 165
51.1%
ASCII
ValueCountFrequency (%)
3 1
50.0%
1 1
50.0%

위 치
Text

Distinct48
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-13T08:17:54.721835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length22.714286
Min length20

Characters and Unicode

Total characters1113
Distinct characters84
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

Unique47 ?
Unique (%)95.9%

Sample

1st row대전광역시 서구 오량1길 63(복수동)
2nd row대전광역시 서구 유등로 135(복수동)
3rd row대전광역시 서구 복수동로 26(복수동)
4th row대전광역시 서구 도마시장1길 88(도마동)
5th row대전광역시 서구 배재로46번길 70(도마동)
ValueCountFrequency (%)
대전광역시 49
24.4%
서구 49
24.4%
유등로 3
 
1.5%
배재로46번길 2
 
1.0%
관저북로 2
 
1.0%
배재로197번길 2
 
1.0%
문정로 2
 
1.0%
관저로 2
 
1.0%
월평북로 2
 
1.0%
13(월평동 2
 
1.0%
Other values (85) 86
42.8%
2023-12-13T08:17:55.094994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
152
 
13.7%
동 54
 
4.9%
대 52
 
4.7%
서 52
 
4.7%
역 50
 
4.5%
시 50
 
4.5%
구 50
 
4.5%
( 49
 
4.4%
광 49
 
4.4%
전 49
 
4.4%
Other values (74) 506
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 694
62.4%
Decimal Number 164
 
14.7%
Space Separator 152
 
13.7%
Open Punctuation 49
 
4.4%
Close Punctuation 49
 
4.4%
Other Punctuation 3
 
0.3%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 54
 
7.8%
대 52
 
7.5%
서 52
 
7.5%
역 50
 
7.2%
시 50
 
7.2%
구 50
 
7.2%
광 49
 
7.1%
전 49
 
7.1%
로 42
 
6.1%
길 20
 
2.9%
Other values (59) 226
32.6%
Decimal Number
ValueCountFrequency (%)
1 37
22.6%
3 23
14.0%
2 19
11.6%
6 17
10.4%
5 14
 
8.5%
7 14
 
8.5%
4 13
 
7.9%
0 10
 
6.1%
9 9
 
5.5%
8 8
 
4.9%
Space Separator
ValueCountFrequency (%)
152
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 694
62.4%
Common 419
37.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 54
 
7.8%
대 52
 
7.5%
서 52
 
7.5%
역 50
 
7.2%
시 50
 
7.2%
구 50
 
7.2%
광 49
 
7.1%
전 49
 
7.1%
로 42
 
6.1%
길 20
 
2.9%
Other values (59) 226
32.6%
Common
ValueCountFrequency (%)
152
36.3%
( 49
 
11.7%
) 49
 
11.7%
1 37
 
8.8%
3 23
 
5.5%
2 19
 
4.5%
6 17
 
4.1%
5 14
 
3.3%
7 14
 
3.3%
4 13
 
3.1%
Other values (5) 32
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 694
62.4%
ASCII 419
37.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
152
36.3%
( 49
 
11.7%
) 49
 
11.7%
1 37
 
8.8%
3 23
 
5.5%
2 19
 
4.5%
6 17
 
4.1%
5 14
 
3.3%
7 14
 
3.3%
4 13
 
3.1%
Other values (5) 32
 
7.6%
Hangul
ValueCountFrequency (%)
동 54
 
7.8%
대 52
 
7.5%
서 52
 
7.5%
역 50
 
7.2%
시 50
 
7.2%
구 50
 
7.2%
광 49
 
7.1%
전 49
 
7.1%
로 42
 
6.1%
길 20
 
2.9%
Other values (59) 226
32.6%

면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct48
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean908.02041
Minimum72
Maximum6216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-13T08:17:55.233706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72
5-th percentile129.6
Q1275
median648
Q3981
95-th percentile2444
Maximum6216
Range6144
Interquartile range (IQR)706

Descriptive statistics

Standard deviation1043.2422
Coefficient of variation (CV)1.1489193
Kurtosis13.492057
Mean908.02041
Median Absolute Deviation (MAD)345
Skewness3.1512591
Sum44493
Variance1088354.2
MonotonicityNot monotonic
2023-12-13T08:17:55.374286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
648 2
 
4.1%
180 1
 
2.0%
421 1
 
2.0%
72 1
 
2.0%
136 1
 
2.0%
850 1
 
2.0%
1871 1
 
2.0%
899 1
 
2.0%
480 1
 
2.0%
707 1
 
2.0%
Other values (38) 38
77.6%
ValueCountFrequency (%)
72 1
2.0%
107 1
2.0%
126 1
2.0%
135 1
2.0%
136 1
2.0%
141 1
2.0%
149 1
2.0%
151 1
2.0%
155 1
2.0%
174 1
2.0%
ValueCountFrequency (%)
6216 1
2.0%
3114 1
2.0%
2458 1
2.0%
2423 1
2.0%
1999 1
2.0%
1919 1
2.0%
1871 1
2.0%
1667 1
2.0%
1552 1
2.0%
1458 1
2.0%

수용(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct47
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean304.87755
Minimum27
Maximum1197
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-13T08:17:55.515557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile49.2
Q1105
median249
Q3374
95-th percentile865.8
Maximum1197
Range1170
Interquartile range (IQR)269

Descriptive statistics

Standard deviation269.1261
Coefficient of variation (CV)0.88273506
Kurtosis1.9508898
Mean304.87755
Median Absolute Deviation (MAD)130
Skewness1.4747828
Sum14939
Variance72428.86
MonotonicityNot monotonic
2023-12-13T08:17:55.666601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
271 2
 
4.1%
249 2
 
4.1%
161 1
 
2.0%
27 1
 
2.0%
52 1
 
2.0%
326 1
 
2.0%
719 1
 
2.0%
345 1
 
2.0%
184 1
 
2.0%
1197 1
 
2.0%
Other values (37) 37
75.5%
ValueCountFrequency (%)
27 1
2.0%
41 1
2.0%
48 1
2.0%
51 1
2.0%
52 1
2.0%
54 1
2.0%
57 1
2.0%
58 1
2.0%
59 1
2.0%
66 1
2.0%
ValueCountFrequency (%)
1197 1
2.0%
945 1
2.0%
931 1
2.0%
768 1
2.0%
738 1
2.0%
719 1
2.0%
641 1
2.0%
596 1
2.0%
560 1
2.0%
412 1
2.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-05-02
49 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-02
2nd row2023-05-02
3rd row2023-05-02
4th row2023-05-02
5th row2023-05-02

Common Values

ValueCountFrequency (%)
2023-05-02 49
100.0%

Length

2023-12-13T08:17:55.783829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:17:56.222563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-02 49
100.0%

Interactions

2023-12-13T08:17:52.937295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:17:52.435251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:17:52.659702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:17:53.019785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:17:52.513682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:17:52.747338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:17:53.111624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:17:52.585287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:17:52.849813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:17:56.280978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분시설명위 치면적(제곱미터)수용(명)
구분1.0001.0001.0000.0420.329
시설명1.0001.0001.0001.0001.000
위 치1.0001.0001.0001.0001.000
면적(제곱미터)0.0421.0001.0001.0000.979
수용(명)0.3291.0001.0000.9791.000
2023-12-13T08:17:56.378877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분면적(제곱미터)수용(명)
구분1.000-0.057-0.064
면적(제곱미터)-0.0571.0000.967
수용(명)-0.0640.9671.000

Missing values

2023-12-13T08:17:53.325446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:17:53.470648image/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

구분시설명위 치면적(제곱미터)수용(명)데이터기준일자
01오량경로당대전광역시 서구 오량1길 63(복수동)180692023-05-02
12오량실내테니스장대전광역시 서구 유등로 135(복수동)24589452023-05-02
23대전신계초등학교대전광역시 서구 복수동로 26(복수동)6052322023-05-02
34도마1경로당대전광역시 서구 도마시장1길 88(도마동)3221232023-05-02
45도림정경로당대전광역시 서구 배재로46번길 70(도마동)141542023-05-02
56도마실국민체육센터대전광역시 서구 유등로 235(도마동)9813772023-05-02
67도솔다목적체육관대전광역시 서구 배재로197번길 41(도마동)16676412023-05-02
78대전도마중학교대전광역시 서구 도솔2길 22(도마동)6482492023-05-02
89서대전여자고등학교대전광역시 서구 배재로197번길 20(도마동)24239312023-05-02
910유천초등학교대전광역시 서구 제비네6길 69(도마동)15525962023-05-02
구분시설명위 치면적(제곱미터)수용(명)데이터기준일자
3940금동초등학교대전광역시 서구 관저로 45(관저동)3401312023-05-02
4041동방고등학교대전광역시 서구 계백로 1106(관저동)14585602023-05-02
4142선암초등학교대전광역시 서구 관저중로 61(관저동)3471332023-05-02
4243평촌3경로당대전광역시 서구 증촌1길 104(평촌동)149572023-05-02
4344대전삼천중학교대전광역시 서구 문정로 271(둔산동)9343592023-05-02
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