Overview

Dataset statistics

Number of variables6
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory56.0 B

Variable types

Numeric2
Categorical2
Text2

Dataset

Description정선군 9개 읍면에 있는 민방위 비상주민대피소 관련 데이터로서 정선군 관내 민방위 비상주민대피소의 위치 읍면, 시설명, 시설위치, 시설규모 등을 제공하는 데이터 입니다.
Author강원도 정선군
URLhttps://www.data.go.kr/data/15100587/fileData.do

Alerts

연번 has unique valuesUnique
시설명 has unique valuesUnique
시설위치 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:39:29.926763
Analysis finished2023-12-12 08:39:30.584343
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T17:39:30.638360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q16.25
median11.5
Q316.75
95-th percentile20.95
Maximum22
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.5646597
Kurtosis-1.2
Mean11.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum253
Variance42.166667
MonotonicityStrictly increasing
2023-12-12T17:39:30.733563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1
 
4.5%
13 1
 
4.5%
22 1
 
4.5%
21 1
 
4.5%
20 1
 
4.5%
19 1
 
4.5%
18 1
 
4.5%
17 1
 
4.5%
16 1
 
4.5%
15 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1 1
4.5%
2 1
4.5%
3 1
4.5%
4 1
4.5%
5 1
4.5%
6 1
4.5%
7 1
4.5%
8 1
4.5%
9 1
4.5%
10 1
4.5%
ValueCountFrequency (%)
22 1
4.5%
21 1
4.5%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%
16 1
4.5%
15 1
4.5%
14 1
4.5%
13 1
4.5%

읍면
Categorical

Distinct9
Distinct (%)40.9%
Missing0
Missing (%)0.0%
Memory size308.0 B
정선읍
8 
고한읍
4 
사북읍
3 
신동읍
2 
화암면
1 
Other values (4)
4 

Length

Max length3
Median length3
Mean length2.9545455
Min length2

Unique

Unique5 ?
Unique (%)22.7%

Sample

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

Common Values

ValueCountFrequency (%)
정선읍 8
36.4%
고한읍 4
18.2%
사북읍 3
 
13.6%
신동읍 2
 
9.1%
화암면 1
 
4.5%
남면 1
 
4.5%
여량면 1
 
4.5%
북평면 1
 
4.5%
임계면 1
 
4.5%

Length

2023-12-12T17:39:30.835708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:39:30.936395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정선읍 8
36.4%
고한읍 4
18.2%
사북읍 3
 
13.6%
신동읍 2
 
9.1%
화암면 1
 
4.5%
남면 1
 
4.5%
여량면 1
 
4.5%
북평면 1
 
4.5%
임계면 1
 
4.5%

시설구분
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
공공기관
14 
민간시설
8 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row민간시설
2nd row공공기관
3rd row공공기관
4th row민간시설
5th row공공기관

Common Values

ValueCountFrequency (%)
공공기관 14
63.6%
민간시설 8
36.4%

Length

2023-12-12T17:39:31.044127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:39:31.126185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공기관 14
63.6%
민간시설 8
36.4%

시설명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T17:39:31.284113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length8.4090909
Min length4

Characters and Unicode

Total characters185
Distinct characters64
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st rowKT정선지사
2nd row정선읍행정복지센터
3rd row정선교육지원청
4th row미소빌아파트
5th row정선군청
ValueCountFrequency (%)
강원랜드 3
 
10.3%
kt정선지사 1
 
3.4%
복지관 1
 
3.4%
북평면행정복지센터 1
 
3.4%
여량면행정복지센터 1
 
3.4%
남면행정복지센터 1
 
3.4%
화암면행정복지센터 1
 
3.4%
함백출장소 1
 
3.4%
신동읍 1
 
3.4%
신동읍행정복지센터 1
 
3.4%
Other values (17) 17
58.6%
2023-12-12T17:39:31.547997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 15
 
8.1%
지 15
 
8.1%
복 11
 
5.9%
행 9
 
4.9%
센 9
 
4.9%
터 9
 
4.9%
사 7
 
3.8%
7
 
3.8%
선 6
 
3.2%
원 6
 
3.2%
Other values (54) 91
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 171
92.4%
Space Separator 7
 
3.8%
Uppercase Letter 7
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 15
 
8.8%
지 15
 
8.8%
복 11
 
6.4%
행 9
 
5.3%
센 9
 
5.3%
터 9
 
5.3%
사 7
 
4.1%
선 6
 
3.5%
원 6
 
3.5%
면 5
 
2.9%
Other values (49) 79
46.2%
Uppercase Letter
ValueCountFrequency (%)
C 2
28.6%
T 2
28.6%
K 2
28.6%
D 1
14.3%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 171
92.4%
Common 7
 
3.8%
Latin 7
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 15
 
8.8%
지 15
 
8.8%
복 11
 
6.4%
행 9
 
5.3%
센 9
 
5.3%
터 9
 
5.3%
사 7
 
4.1%
선 6
 
3.5%
원 6
 
3.5%
면 5
 
2.9%
Other values (49) 79
46.2%
Latin
ValueCountFrequency (%)
C 2
28.6%
T 2
28.6%
K 2
28.6%
D 1
14.3%
Common
ValueCountFrequency (%)
7
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 171
92.4%
ASCII 14
 
7.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 15
 
8.8%
지 15
 
8.8%
복 11
 
6.4%
행 9
 
5.3%
센 9
 
5.3%
터 9
 
5.3%
사 7
 
4.1%
선 6
 
3.5%
원 6
 
3.5%
면 5
 
2.9%
Other values (49) 79
46.2%
ASCII
ValueCountFrequency (%)
7
50.0%
C 2
 
14.3%
T 2
 
14.3%
K 2
 
14.3%
D 1
 
7.1%

시설위치
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T17:39:31.744791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length36
Mean length25.636364
Min length17

Characters and Unicode

Total characters564
Distinct characters90
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row강원도 정선군 정선읍 비봉로 28(KT정선지사 지하 1층)
2nd row강원도 정선군 정선읍 정선로 1331
3rd row강원도 정선군 정선읍 비봉로 41
4th row강원도 정선군 정선읍 정선로 1245-6(미소빌아파트 건물 우측 지하주차장)
5th row강원도 정선군 정선읍 봉양3길 21
ValueCountFrequency (%)
강원도 22
 
17.3%
정선군 22
 
17.3%
정선읍 8
 
6.3%
고한읍 4
 
3.1%
지하주차장 3
 
2.4%
지하 3
 
2.4%
사북읍 3
 
2.4%
정선로 3
 
2.4%
서동로 2
 
1.6%
신동읍 2
 
1.6%
Other values (50) 55
43.3%
2023-12-12T17:39:32.058539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
110
19.5%
정 34
 
6.0%
선 34
 
6.0%
원 28
 
5.0%
강 25
 
4.4%
도 22
 
3.9%
군 22
 
3.9%
1 18
 
3.2%
읍 17
 
3.0%
길 12
 
2.1%
Other values (80) 242
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 358
63.5%
Space Separator 110
 
19.5%
Decimal Number 71
 
12.6%
Open Punctuation 7
 
1.2%
Close Punctuation 7
 
1.2%
Uppercase Letter 7
 
1.2%
Dash Punctuation 4
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 34
 
9.5%
선 34
 
9.5%
원 28
 
7.8%
강 25
 
7.0%
도 22
 
6.1%
군 22
 
6.1%
읍 17
 
4.7%
길 12
 
3.4%
지 11
 
3.1%
로 10
 
2.8%
Other values (62) 143
39.9%
Decimal Number
ValueCountFrequency (%)
1 18
25.4%
6 10
14.1%
3 8
11.3%
5 7
 
9.9%
2 7
 
9.9%
4 5
 
7.0%
0 5
 
7.0%
8 4
 
5.6%
7 4
 
5.6%
9 3
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
C 2
28.6%
K 2
28.6%
T 2
28.6%
D 1
14.3%
Space Separator
ValueCountFrequency (%)
110
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 358
63.5%
Common 199
35.3%
Latin 7
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 34
 
9.5%
선 34
 
9.5%
원 28
 
7.8%
강 25
 
7.0%
도 22
 
6.1%
군 22
 
6.1%
읍 17
 
4.7%
길 12
 
3.4%
지 11
 
3.1%
로 10
 
2.8%
Other values (62) 143
39.9%
Common
ValueCountFrequency (%)
110
55.3%
1 18
 
9.0%
6 10
 
5.0%
3 8
 
4.0%
( 7
 
3.5%
5 7
 
3.5%
) 7
 
3.5%
2 7
 
3.5%
4 5
 
2.5%
0 5
 
2.5%
Other values (4) 15
 
7.5%
Latin
ValueCountFrequency (%)
C 2
28.6%
K 2
28.6%
T 2
28.6%
D 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 358
63.5%
ASCII 206
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
110
53.4%
1 18
 
8.7%
6 10
 
4.9%
3 8
 
3.9%
( 7
 
3.4%
5 7
 
3.4%
) 7
 
3.4%
2 7
 
3.4%
4 5
 
2.4%
0 5
 
2.4%
Other values (8) 22
 
10.7%
Hangul
ValueCountFrequency (%)
정 34
 
9.5%
선 34
 
9.5%
원 28
 
7.8%
강 25
 
7.0%
도 22
 
6.1%
군 22
 
6.1%
읍 17
 
4.7%
길 12
 
3.4%
지 11
 
3.1%
로 10
 
2.8%
Other values (62) 143
39.9%

시설규모
Real number (ℝ)

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2535.2727
Minimum64
Maximum42540
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T17:39:32.189793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum64
5-th percentile66
Q178.5
median104.5
Q3676.75
95-th percentile5298.7
Maximum42540
Range42476
Interquartile range (IQR)598.25

Descriptive statistics

Standard deviation9026.6362
Coefficient of variation (CV)3.5604202
Kurtosis20.986334
Mean2535.2727
Median Absolute Deviation (MAD)39.5
Skewness4.54429
Sum55776
Variance81480161
MonotonicityNot monotonic
2023-12-12T17:39:32.302002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
66 2
 
9.1%
154 1
 
4.5%
83 1
 
4.5%
69 1
 
4.5%
98 1
 
4.5%
94 1
 
4.5%
64 1
 
4.5%
84 1
 
4.5%
71 1
 
4.5%
42540 1
 
4.5%
Other values (11) 11
50.0%
ValueCountFrequency (%)
64 1
4.5%
66 2
9.1%
69 1
4.5%
71 1
4.5%
77 1
4.5%
83 1
4.5%
84 1
4.5%
92 1
4.5%
94 1
4.5%
98 1
4.5%
ValueCountFrequency (%)
42540 1
4.5%
5400 1
4.5%
3374 1
4.5%
812 1
4.5%
754 1
4.5%
729 1
4.5%
520 1
4.5%
373 1
4.5%
154 1
4.5%
145 1
4.5%

Interactions

2023-12-12T17:39:30.309658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:39:30.190065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:39:30.368731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:39:30.249588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:39:32.390512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번읍면시설구분시설명시설위치시설규모
연번1.0000.7890.0001.0001.0000.485
읍면0.7891.0000.0001.0001.0000.000
시설구분0.0000.0001.0001.0001.0000.185
시설명1.0001.0001.0001.0001.0001.000
시설위치1.0001.0001.0001.0001.0001.000
시설규모0.4850.0000.1851.0001.0001.000
2023-12-12T17:39:32.489906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면시설구분
읍면1.0000.000
시설구분0.0001.000
2023-12-12T17:39:32.584791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설규모읍면시설구분
연번1.000-0.4070.4700.000
시설규모-0.4071.0000.0000.289
읍면0.4700.0001.0000.000
시설구분0.0000.2890.0001.000

Missing values

2023-12-12T17:39:30.460294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:39:30.548883image/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

연번읍면시설구분시설명시설위치시설규모
01정선읍민간시설KT정선지사강원도 정선군 정선읍 비봉로 28(KT정선지사 지하 1층)154
12정선읍공공기관정선읍행정복지센터강원도 정선군 정선읍 정선로 133183
23정선읍공공기관정선교육지원청강원도 정선군 정선읍 비봉로 4177
34정선읍민간시설미소빌아파트강원도 정선군 정선읍 정선로 1245-6(미소빌아파트 건물 우측 지하주차장)145
45정선읍공공기관정선군청강원도 정선군 정선읍 봉양3길 21111
56정선읍민간시설현대아파트강원도 정선군 정선읍 정선로 1245-11(현대아파트 101동 지하주차장)3374
67정선읍공공기관정선종합경기장실내체육관강원도 정선군 정선읍 애산로 60754
78정선읍공공기관정선군종합사회복지관강원도 정선군 정선읍 봉양7길 16사회복지관520
89고한읍민간시설하이원 CC강원도 정선군 고한읍 고한7길 399하이원CC5400
910고한읍민간시설강원랜드 사원아파트 D동강원도 정선군 고한읍 고한3길 6-11(강원랜드 사원아파트 D동 지하 1층)729
연번읍면시설구분시설명시설위치시설규모
1213사북읍공공기관사북읍행정복지센터강원도 정선군 사북읍 사북중앙로 6592
1314사북읍민간시설사북 KT사음지사강원도 정선군 사북읍 사북7길 6(KT사음지사 지하주차장)66
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2122임계면공공기관임계면행정복지센터강원도 정선군 임계면 서동로 457566