Overview

Dataset statistics

Number of variables7
Number of observations126
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.3 KiB
Average record size in memory59.0 B

Variable types

Numeric2
Text3
Categorical1
DateTime1

Dataset

Description경상북도 포항시에 존재하는 임시 대피소 및 수해 대피소 현황(시설명, 소재지, 수용가능 면적, 수용가능 인원) 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15113780/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
번호 has unique valuesUnique
시설명 has unique valuesUnique
소재지(도로명주소) has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:07:49.876732
Analysis finished2023-12-12 04:07:51.043415
Duration1.17 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct126
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.5
Minimum1
Maximum126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T13:07:51.136903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.25
Q132.25
median63.5
Q394.75
95-th percentile119.75
Maximum126
Range125
Interquartile range (IQR)62.5

Descriptive statistics

Standard deviation36.517119
Coefficient of variation (CV)0.57507274
Kurtosis-1.2
Mean63.5
Median Absolute Deviation (MAD)31.5
Skewness0
Sum8001
Variance1333.5
MonotonicityStrictly increasing
2023-12-12T13:07:51.374709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
81 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
Other values (116) 116
92.1%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%
122 1
0.8%
121 1
0.8%
120 1
0.8%
119 1
0.8%
118 1
0.8%
117 1
0.8%

시설명
Text

UNIQUE 

Distinct126
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T13:07:51.683161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length7.0238095
Min length4

Characters and Unicode

Total characters885
Distinct characters128
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

Unique126 ?
Unique (%)100.0%

Sample

1st row구룡포읍행정복지센터
2nd row구룡포초등학교
3rd row포항과학기술고등학교
4th row구룡포읍민복지회관
5th row구룡포석병청소년수련관
ValueCountFrequency (%)
행정복지센터 6
 
4.1%
복지회관 5
 
3.4%
마을회관 2
 
1.4%
해도동 2
 
1.4%
기계중학교 2
 
1.4%
죽장면민복지회관 1
 
0.7%
기계초등학교 1
 
0.7%
기계고등학교 1
 
0.7%
서포중학교 1
 
0.7%
상옥분교 1
 
0.7%
Other values (124) 124
84.9%
2023-12-12T13:07:52.202534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 81
 
9.2%
교 74
 
8.4%
등 54
 
6.1%
초 42
 
4.7%
포 24
 
2.7%
동 24
 
2.7%
지 23
 
2.6%
복 22
 
2.5%
21
 
2.4%
관 21
 
2.4%
Other values (118) 499
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 858
96.9%
Space Separator 21
 
2.4%
Decimal Number 6
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 81
 
9.4%
교 74
 
8.6%
등 54
 
6.3%
초 42
 
4.9%
포 24
 
2.8%
동 24
 
2.8%
지 23
 
2.7%
복 22
 
2.6%
관 21
 
2.4%
중 18
 
2.1%
Other values (115) 475
55.4%
Decimal Number
ValueCountFrequency (%)
2 4
66.7%
1 2
33.3%
Space Separator
ValueCountFrequency (%)
21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 858
96.9%
Common 27
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 81
 
9.4%
교 74
 
8.6%
등 54
 
6.3%
초 42
 
4.9%
포 24
 
2.8%
동 24
 
2.8%
지 23
 
2.7%
복 22
 
2.6%
관 21
 
2.4%
중 18
 
2.1%
Other values (115) 475
55.4%
Common
ValueCountFrequency (%)
21
77.8%
2 4
 
14.8%
1 2
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 858
96.9%
ASCII 27
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 81
 
9.4%
교 74
 
8.6%
등 54
 
6.3%
초 42
 
4.9%
포 24
 
2.8%
동 24
 
2.8%
지 23
 
2.7%
복 22
 
2.6%
관 21
 
2.4%
중 18
 
2.1%
Other values (115) 475
55.4%
ASCII
ValueCountFrequency (%)
21
77.8%
2 4
 
14.8%
1 2
 
7.4%

상세 시설명
Categorical

Distinct18
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
강당
55 
회의실
21 
체육관
11 
다목적강당
11 
경로당
11 
Other values (13)
17 

Length

Max length8
Median length6
Mean length2.8333333
Min length2

Unique

Unique10 ?
Unique (%)7.9%

Sample

1st row회의실
2nd row강당
3rd row강당
4th row회관
5th row청소년수련관

Common Values

ValueCountFrequency (%)
강당 55
43.7%
회의실 21
 
16.7%
체육관 11
 
8.7%
다목적강당 11
 
8.7%
경로당 11
 
8.7%
회관 3
 
2.4%
마을회관 2
 
1.6%
복지회관 2
 
1.6%
학습관 1
 
0.8%
청소년수련관 1
 
0.8%
Other values (8) 8
 
6.3%

Length

2023-12-12T13:07:52.393961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
강당 56
43.8%
회의실 23
18.0%
체육관 11
 
8.6%
다목적강당 11
 
8.6%
경로당 11
 
8.6%
회관 3
 
2.3%
마을회관 2
 
1.6%
복지회관 2
 
1.6%
체험관 1
 
0.8%
2층 1
 
0.8%
Other values (7) 7
 
5.5%

소재지(도로명주소)
Text

UNIQUE 

Distinct126
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T13:07:52.741292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length20.531746
Min length17

Characters and Unicode

Total characters2587
Distinct characters111
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique126 ?
Unique (%)100.0%

Sample

1st row경상북도 포항시 남구 호미로 133
2nd row경상북도 포항시 남구 구룡포길 61
3rd row경상북도 포항시 남구 호미로 341
4th row경상북도 포항시 남구 구룡포길65번길 7
5th row경상북도 포항시 남구 명월길 51
ValueCountFrequency (%)
경상북도 126
19.4%
포항시 126
19.4%
남구 66
 
10.2%
북구 60
 
9.2%
정몽주로 4
 
0.6%
삼호로 4
 
0.6%
13 4
 
0.6%
지곡로 3
 
0.5%
26 3
 
0.5%
중흥로 3
 
0.5%
Other values (206) 251
38.6%
2023-12-12T13:07:53.306255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
528
20.4%
북 188
 
7.3%
포 134
 
5.2%
구 130
 
5.0%
도 130
 
5.0%
상 129
 
5.0%
항 129
 
5.0%
경 128
 
4.9%
시 126
 
4.9%
1 100
 
3.9%
Other values (101) 865
33.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1621
62.7%
Space Separator 531
 
20.5%
Decimal Number 418
 
16.2%
Dash Punctuation 17
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 188
11.6%
포 134
 
8.3%
구 130
 
8.0%
도 130
 
8.0%
상 129
 
8.0%
항 129
 
8.0%
경 128
 
7.9%
시 126
 
7.8%
로 95
 
5.9%
남 71
 
4.4%
Other values (88) 361
22.3%
Decimal Number
ValueCountFrequency (%)
1 100
23.9%
2 49
11.7%
5 48
11.5%
3 42
10.0%
0 41
9.8%
7 31
 
7.4%
4 31
 
7.4%
6 31
 
7.4%
9 24
 
5.7%
8 21
 
5.0%
Space Separator
ValueCountFrequency (%)
528
99.4%
　 3
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1621
62.7%
Common 966
37.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 188
11.6%
포 134
 
8.3%
구 130
 
8.0%
도 130
 
8.0%
상 129
 
8.0%
항 129
 
8.0%
경 128
 
7.9%
시 126
 
7.8%
로 95
 
5.9%
남 71
 
4.4%
Other values (88) 361
22.3%
Common
ValueCountFrequency (%)
528
54.7%
1 100
 
10.4%
2 49
 
5.1%
5 48
 
5.0%
3 42
 
4.3%
0 41
 
4.2%
7 31
 
3.2%
4 31
 
3.2%
6 31
 
3.2%
9 24
 
2.5%
Other values (3) 41
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1621
62.7%
ASCII 963
37.2%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
528
54.8%
1 100
 
10.4%
2 49
 
5.1%
5 48
 
5.0%
3 42
 
4.4%
0 41
 
4.3%
7 31
 
3.2%
4 31
 
3.2%
6 31
 
3.2%
9 24
 
2.5%
Other values (2) 38
 
3.9%
Hangul
ValueCountFrequency (%)
북 188
11.6%
포 134
 
8.3%
구 130
 
8.0%
도 130
 
8.0%
상 129
 
8.0%
항 129
 
8.0%
경 128
 
7.9%
시 126
 
7.8%
로 95
 
5.9%
남 71
 
4.4%
Other values (88) 361
22.3%
None
ValueCountFrequency (%)
　 3
100.0%

수용가능 면적(제곱미터)
Text

Distinct102
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T13:07:53.693911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.468254
Min length2

Characters and Unicode

Total characters437
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)72.2%

Sample

1st row315
2nd row863
3rd row1,909
4th row285
5th row1,039
ValueCountFrequency (%)
132 6
 
4.8%
661 6
 
4.8%
330 4
 
3.2%
165 3
 
2.4%
825 3
 
2.4%
99 3
 
2.4%
331 2
 
1.6%
177 2
 
1.6%
1,322 2
 
1.6%
992 2
 
1.6%
Other values (92) 93
73.8%
2023-12-12T13:07:54.275815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 83
19.0%
3 47
10.8%
2 47
10.8%
6 42
9.6%
0 41
9.4%
9 36
8.2%
8 35
8.0%
, 32
 
7.3%
7 28
 
6.4%
5 25
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 405
92.7%
Other Punctuation 32
 
7.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 83
20.5%
3 47
11.6%
2 47
11.6%
6 42
10.4%
0 41
10.1%
9 36
8.9%
8 35
8.6%
7 28
 
6.9%
5 25
 
6.2%
4 21
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 437
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 83
19.0%
3 47
10.8%
2 47
10.8%
6 42
9.6%
0 41
9.4%
9 36
8.2%
8 35
8.0%
, 32
 
7.3%
7 28
 
6.4%
5 25
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 437
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 83
19.0%
3 47
10.8%
2 47
10.8%
6 42
9.6%
0 41
9.4%
9 36
8.2%
8 35
8.0%
, 32
 
7.3%
7 28
 
6.4%
5 25
 
5.7%

수용가능 인원(명)
Real number (ℝ)

Distinct64
Distinct (%)50.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean200.61905
Minimum20
Maximum797
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T13:07:54.444747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile30
Q160
median196.5
Q3300
95-th percentile482.25
Maximum797
Range777
Interquartile range (IQR)240

Descriptive statistics

Standard deviation155.00373
Coefficient of variation (CV)0.77262721
Kurtosis1.691206
Mean200.61905
Median Absolute Deviation (MAD)116.5
Skewness1.1639523
Sum25278
Variance24026.158
MonotonicityNot monotonic
2023-12-12T13:07:54.657152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200 11
 
8.7%
50 10
 
7.9%
30 7
 
5.6%
300 7
 
5.6%
40 7
 
5.6%
100 6
 
4.8%
150 5
 
4.0%
60 4
 
3.2%
350 3
 
2.4%
120 3
 
2.4%
Other values (54) 63
50.0%
ValueCountFrequency (%)
20 2
 
1.6%
30 7
5.6%
35 1
 
0.8%
40 7
5.6%
43 1
 
0.8%
45 1
 
0.8%
50 10
7.9%
58 1
 
0.8%
60 4
 
3.2%
64 1
 
0.8%
ValueCountFrequency (%)
797 1
0.8%
720 1
0.8%
600 1
0.8%
578 1
0.8%
562 1
0.8%
549 1
0.8%
502 1
0.8%
423 1
0.8%
420 1
0.8%
418 1
0.8%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2023-05-17 00:00:00
Maximum2023-05-17 00:00:00
2023-12-12T13:07:54.805991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:07:54.942985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T13:07:50.482735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:07:50.186298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:07:50.606757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:07:50.321623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:07:55.053332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호상세 시설명수용가능 인원(명)
번호1.0000.5260.238
상세 시설명0.5261.0000.709
수용가능 인원(명)0.2380.7091.000
2023-12-12T13:07:55.155472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호수용가능 인원(명)상세 시설명
번호1.0000.0790.229
수용가능 인원(명)0.0791.0000.302
상세 시설명0.2290.3021.000

Missing values

2023-12-12T13:07:50.787486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:07:50.962900image/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

번호시설명상세 시설명소재지(도로명주소)수용가능 면적(제곱미터)수용가능 인원(명)데이터기준일자
01구룡포읍행정복지센터회의실경상북도 포항시 남구 호미로 133315952023-05-17
12구룡포초등학교강당경상북도 포항시 남구 구룡포길 618632622023-05-17
23포항과학기술고등학교강당경상북도 포항시 남구 호미로 3411,9095782023-05-17
34구룡포읍민복지회관회관경상북도 포항시 남구 구룡포길65번길 7285862023-05-17
45구룡포석병청소년수련관청소년수련관경상북도 포항시 남구 명월길 511,0393152023-05-17
56경북대수련원수련원경상북도 포항시 남구 하정로 1531,8125492023-05-17
67구룡포과메기문화관문화관경상북도 포항시 남구 구룡포길 117번길 28-81,6595022023-05-17
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89영일고등학교강당경상북도 포항시 남구 동문로 562,0717972023-05-17
910유강1리 마을회관마을회관경상북도 포항시 남구 자명로 43-2155602023-05-17
번호시설명상세 시설명소재지(도로명주소)수용가능 면적(제곱미터)수용가능 인원(명)데이터기준일자
116117장량경로당경로당경상북도 포항시 북구 삼흥로 77-1483202023-05-17
117118장량초등학교강당경상북도 포항시 북구 삼흥로 100번길 9215602023-05-17
118119장성초등학교강당경상북도 포항시 북구 새천년대로 1123번길 61,0003002023-05-17
119120장흥초등학교강당경상북도 포항시 북구 양덕남로 116371932023-05-17
120121포항양덕초등학교강당경상북도 포항시 북구 양덕로 20-58702642023-05-17
121122장성고등학교체육관경상북도 포항시 북구 법원로 1177682332023-05-17
122123경북학생문화회관강당경상북도 포항시 북구 환호로 501,2423762023-05-17
123124대도중학교강당경상북도 포항시 북구 삼호로 509번길 121,0713202023-05-17
124125환호여자중학교강당경상북도 포항시 북구 삼호로 480-61,0743252023-05-17
125126포항해양과학고등학교체육관경상북도 포항시 북구 여남포길 21번길 181,3964232023-05-17