Overview

Dataset statistics

Number of variables17
Number of observations173
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.8 KiB
Average record size in memory140.8 B

Variable types

Categorical8
Text3
Numeric4
Boolean2

Dataset

Description재해구호법 제 4조의2(임시주거시설의 사용등)에 따라 각종 재난재해로 인하여 경기도 수원시 내 이재민발생시 즉시 이용 가능한 임시 수용시설 현황 데이터를 제공합니다.
Author경기도 수원시
URLhttps://www.data.go.kr/data/15040647/fileData.do

Alerts

시도명 has constant value ""Constant
시군명 has constant value ""Constant
사용여부 has constant value ""Constant
담당부서 has constant value ""Constant
담당부서연락처 has constant value ""Constant
데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 구청명 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 구청명 and 1 other fieldsHigh correlation
수용가능면적(제곱미터) is highly overall correlated with 수용가능인원(명)High correlation
수용가능인원(명) is highly overall correlated with 수용가능면적(제곱미터)High correlation
구청명 is highly overall correlated with 위도 and 2 other fieldsHigh correlation
동명 is highly overall correlated with 위도 and 2 other fieldsHigh correlation
위도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:03:24.440091
Analysis finished2023-12-12 08:03:28.535889
Duration4.1 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
경기도
173 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 173
100.0%

Length

2023-12-12T17:03:28.603547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:03:28.708822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 173
100.0%

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
수원시
173 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수원시 173
100.0%

Length

2023-12-12T17:03:28.809695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:03:28.949091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수원시 173
100.0%

구청명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
권선구
63 
영통구
43 
장안구
38 
팔달구
29 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
권선구 63
36.4%
영통구 43
24.9%
장안구 38
22.0%
팔달구 29
16.8%

Length

2023-12-12T17:03:29.113274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:03:29.252596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
권선구 63
36.4%
영통구 43
24.9%
장안구 38
22.0%
팔달구 29
16.8%

동명
Categorical

HIGH CORRELATION 

Distinct39
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
매탄동
16 
금곡동
12 
정자동
 
11
세류동
 
10
권선동
 
9
Other values (34)
115 

Length

Max length5
Median length3
Mean length3.0693642
Min length2

Unique

Unique8 ?
Unique (%)4.6%

Sample

1st row파장동
2nd row파장동
3rd row율전동
4th row율전동
5th row천천동

Common Values

ValueCountFrequency (%)
매탄동 16
 
9.2%
금곡동 12
 
6.9%
정자동 11
 
6.4%
세류동 10
 
5.8%
권선동 9
 
5.2%
영통동 9
 
5.2%
호매실동 8
 
4.6%
화서동 7
 
4.0%
우만동 7
 
4.0%
이의동 6
 
3.5%
Other values (29) 78
45.1%

Length

2023-12-12T17:03:29.426730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
매탄동 16
 
9.2%
금곡동 12
 
6.9%
정자동 11
 
6.4%
세류동 10
 
5.8%
권선동 9
 
5.2%
영통동 9
 
5.2%
호매실동 8
 
4.6%
화서동 7
 
4.0%
우만동 7
 
4.0%
율전동 6
 
3.5%
Other values (29) 78
45.1%

시설구분
Categorical

Distinct6
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
학교
100 
경로당
34 
관공서
33 
공공시설
 
4
기타시설
 
1

Length

Max length5
Median length2
Mean length2.4624277
Min length2

Unique

Unique2 ?
Unique (%)1.2%

Sample

1st row학교
2nd row학교
3rd row경로당
4th row관공서
5th row기타시설

Common Values

ValueCountFrequency (%)
학교 100
57.8%
경로당 34
 
19.7%
관공서 33
 
19.1%
공공시설 4
 
2.3%
기타시설 1
 
0.6%
연수 숙박 1
 
0.6%

Length

2023-12-12T17:03:29.620735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:03:29.791892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학교 100
57.5%
경로당 34
 
19.5%
관공서 33
 
19.0%
공공시설 4
 
2.3%
기타시설 1
 
0.6%
연수 1
 
0.6%
숙박 1
 
0.6%

시설명
Text

Distinct162
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T17:03:30.152622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length7.0404624
Min length5

Characters and Unicode

Total characters1218
Distinct characters154
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique153 ?
Unique (%)88.4%

Sample

1st row수일초등학교
2nd row파장초등학교
3rd row율천경로당
4th row율천동행정복지센터
5th row성균관대학교
ValueCountFrequency (%)
행정복지센터 12
 
6.2%
경로당 4
 
2.1%
오목초등학교 4
 
2.1%
신성초등학교 2
 
1.0%
수원매화초등학교 2
 
1.0%
천천초등학교 2
 
1.0%
상촌중학교 2
 
1.0%
호매실중학교 2
 
1.0%
효원경로당 2
 
1.0%
창용초등학교 2
 
1.0%
Other values (158) 160
82.5%
2023-12-12T17:03:30.614054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 109
 
8.9%
학 102
 
8.4%
등 87
 
7.1%
초 80
 
6.6%
동 41
 
3.4%
정 41
 
3.4%
지 37
 
3.0%
로 37
 
3.0%
당 36
 
3.0%
행 35
 
2.9%
Other values (144) 613
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1175
96.5%
Space Separator 21
 
1.7%
Decimal Number 21
 
1.7%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 109
 
9.3%
학 102
 
8.7%
등 87
 
7.4%
초 80
 
6.8%
동 41
 
3.5%
정 41
 
3.5%
지 37
 
3.1%
로 37
 
3.1%
당 36
 
3.1%
행 35
 
3.0%
Other values (138) 570
48.5%
Decimal Number
ValueCountFrequency (%)
2 9
42.9%
1 8
38.1%
3 3
 
14.3%
4 1
 
4.8%
Space Separator
ValueCountFrequency (%)
21
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1175
96.5%
Common 42
 
3.4%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 109
 
9.3%
학 102
 
8.7%
등 87
 
7.4%
초 80
 
6.8%
동 41
 
3.5%
정 41
 
3.5%
지 37
 
3.1%
로 37
 
3.1%
당 36
 
3.1%
행 35
 
3.0%
Other values (138) 570
48.5%
Common
ValueCountFrequency (%)
21
50.0%
2 9
21.4%
1 8
 
19.0%
3 3
 
7.1%
4 1
 
2.4%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1175
96.5%
ASCII 43
 
3.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 109
 
9.3%
학 102
 
8.7%
등 87
 
7.4%
초 80
 
6.8%
동 41
 
3.5%
정 41
 
3.5%
지 37
 
3.1%
로 37
 
3.1%
당 36
 
3.1%
행 35
 
3.0%
Other values (138) 570
48.5%
ASCII
ValueCountFrequency (%)
21
48.8%
2 9
20.9%
1 8
 
18.6%
3 3
 
7.0%
4 1
 
2.3%
e 1
 
2.3%

상세시설명
Text

Distinct89
Distinct (%)51.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T17:03:30.911553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length6.1849711
Min length2

Characters and Unicode

Total characters1070
Distinct characters109
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

Unique63 ?
Unique (%)36.4%

Sample

1st row체육관
2nd row체육관
3rd row본관
4th row2층 소회의실
5th row수성관(체육관)
ValueCountFrequency (%)
다목적실 30
 
10.7%
3층 29
 
10.3%
2층 24
 
8.5%
체육관 19
 
6.8%
대회의실 17
 
6.0%
본관 15
 
5.3%
4층 13
 
4.6%
강당 13
 
4.6%
경로당 10
 
3.6%
대강당 9
 
3.2%
Other values (66) 102
36.3%
2023-12-12T17:03:31.432026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
109
 
10.2%
층 92
 
8.6%
실 75
 
7.0%
관 62
 
5.8%
당 46
 
4.3%
체 44
 
4.1%
목 43
 
4.0%
적 43
 
4.0%
다 42
 
3.9%
육 39
 
3.6%
Other values (99) 475
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 816
76.3%
Space Separator 109
 
10.2%
Decimal Number 103
 
9.6%
Close Punctuation 17
 
1.6%
Open Punctuation 17
 
1.6%
Math Symbol 7
 
0.7%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 92
 
11.3%
실 75
 
9.2%
관 62
 
7.6%
당 46
 
5.6%
체 44
 
5.4%
목 43
 
5.3%
적 43
 
5.3%
다 42
 
5.1%
육 39
 
4.8%
강 33
 
4.0%
Other values (88) 297
36.4%
Decimal Number
ValueCountFrequency (%)
3 35
34.0%
2 32
31.1%
4 15
14.6%
1 14
 
13.6%
5 7
 
6.8%
Math Symbol
ValueCountFrequency (%)
+ 6
85.7%
~ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
109
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 816
76.3%
Common 253
 
23.6%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 92
 
11.3%
실 75
 
9.2%
관 62
 
7.6%
당 46
 
5.6%
체 44
 
5.4%
목 43
 
5.3%
적 43
 
5.3%
다 42
 
5.1%
육 39
 
4.8%
강 33
 
4.0%
Other values (88) 297
36.4%
Common
ValueCountFrequency (%)
109
43.1%
3 35
 
13.8%
2 32
 
12.6%
) 17
 
6.7%
( 17
 
6.7%
4 15
 
5.9%
1 14
 
5.5%
5 7
 
2.8%
+ 6
 
2.4%
~ 1
 
0.4%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 816
76.3%
ASCII 254
 
23.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
109
42.9%
3 35
 
13.8%
2 32
 
12.6%
) 17
 
6.7%
( 17
 
6.7%
4 15
 
5.9%
1 14
 
5.5%
5 7
 
2.8%
+ 6
 
2.4%
~ 1
 
0.4%
Hangul
ValueCountFrequency (%)
층 92
 
11.3%
실 75
 
9.2%
관 62
 
7.6%
당 46
 
5.6%
체 44
 
5.4%
목 43
 
5.3%
적 43
 
5.3%
다 42
 
5.1%
육 39
 
4.8%
강 33
 
4.0%
Other values (88) 297
36.4%

도로명주소
Text

Distinct161
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T17:03:31.781611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length27.277457
Min length22

Characters and Unicode

Total characters4719
Distinct characters139
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

Unique151 ?
Unique (%)87.3%

Sample

1st row경기도 수원시 장안구 수일로 85(파장동)
2nd row경기도 수원시 장안구 경수대로1081번길 32-9 (파장동)
3rd row경기도 수원시 장안구 서부로2106번길 26-16 (율전동)
4th row경기도 수원시 장안구 서부로2106번길 27(율전동)
5th row경기도 수원시 장안구 서부로 2066(천천동)
ValueCountFrequency (%)
경기도 173
19.1%
수원시 173
19.1%
권선구 62
 
6.9%
영통구 43
 
4.8%
장안구 38
 
4.2%
팔달구 30
 
3.3%
24(오목천동 4
 
0.4%
오목천로 4
 
0.4%
대평로 3
 
0.3%
권광로304번길 3
 
0.3%
Other values (327) 371
41.0%
2023-12-12T17:03:32.337071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
731
 
15.5%
수 200
 
4.2%
원 198
 
4.2%
경 181
 
3.8%
동 180
 
3.8%
로 177
 
3.8%
도 175
 
3.7%
기 174
 
3.7%
구 174
 
3.7%
) 173
 
3.7%
Other values (129) 2356
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2936
62.2%
Space Separator 731
 
15.5%
Decimal Number 682
 
14.5%
Close Punctuation 173
 
3.7%
Open Punctuation 173
 
3.7%
Dash Punctuation 24
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 200
 
6.8%
원 198
 
6.7%
경 181
 
6.2%
동 180
 
6.1%
로 177
 
6.0%
도 175
 
6.0%
기 174
 
5.9%
구 174
 
5.9%
시 173
 
5.9%
길 101
 
3.4%
Other values (115) 1203
41.0%
Decimal Number
ValueCountFrequency (%)
1 139
20.4%
2 95
13.9%
4 71
10.4%
3 70
10.3%
7 65
9.5%
5 57
8.4%
6 54
 
7.9%
0 49
 
7.2%
9 41
 
6.0%
8 41
 
6.0%
Space Separator
ValueCountFrequency (%)
731
100.0%
Close Punctuation
ValueCountFrequency (%)
) 173
100.0%
Open Punctuation
ValueCountFrequency (%)
( 173
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2936
62.2%
Common 1783
37.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 200
 
6.8%
원 198
 
6.7%
경 181
 
6.2%
동 180
 
6.1%
로 177
 
6.0%
도 175
 
6.0%
기 174
 
5.9%
구 174
 
5.9%
시 173
 
5.9%
길 101
 
3.4%
Other values (115) 1203
41.0%
Common
ValueCountFrequency (%)
731
41.0%
) 173
 
9.7%
( 173
 
9.7%
1 139
 
7.8%
2 95
 
5.3%
4 71
 
4.0%
3 70
 
3.9%
7 65
 
3.6%
5 57
 
3.2%
6 54
 
3.0%
Other values (4) 155
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2936
62.2%
ASCII 1783
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
731
41.0%
) 173
 
9.7%
( 173
 
9.7%
1 139
 
7.8%
2 95
 
5.3%
4 71
 
4.0%
3 70
 
3.9%
7 65
 
3.6%
5 57
 
3.2%
6 54
 
3.0%
Other values (4) 155
 
8.7%
Hangul
ValueCountFrequency (%)
수 200
 
6.8%
원 198
 
6.7%
경 181
 
6.2%
동 180
 
6.1%
로 177
 
6.0%
도 175
 
6.0%
기 174
 
5.9%
구 174
 
5.9%
시 173
 
5.9%
길 101
 
3.4%
Other values (115) 1203
41.0%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct173
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.274346
Minimum37.23401
Maximum37.310704
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T17:03:32.537301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.23401
5-th percentile37.240773
Q137.260676
median37.27321
Q337.29096
95-th percentile37.303168
Maximum37.310704
Range0.07669397
Interquartile range (IQR)0.03028343

Descriptive statistics

Standard deviation0.018699015
Coefficient of variation (CV)0.00050165909
Kurtosis-0.81049085
Mean37.274346
Median Absolute Deviation (MAD)0.01491585
Skewness-0.074584682
Sum6448.4619
Variance0.00034965314
MonotonicityNot monotonic
2023-12-12T17:03:32.719102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.31070444 1
 
0.6%
37.29133734 1
 
0.6%
37.28272822 1
 
0.6%
37.28583592 1
 
0.6%
37.28368453 1
 
0.6%
37.28368615 1
 
0.6%
37.28136817 1
 
0.6%
37.27665778 1
 
0.6%
37.28717536 1
 
0.6%
37.28548515 1
 
0.6%
Other values (163) 163
94.2%
ValueCountFrequency (%)
37.23401047 1
0.6%
37.23785801 1
0.6%
37.23811536 1
0.6%
37.23851558 1
0.6%
37.23949162 1
0.6%
37.2396293 1
0.6%
37.23967108 1
0.6%
37.23967488 1
0.6%
37.24068511 1
0.6%
37.24083138 1
0.6%
ValueCountFrequency (%)
37.31070444 1
0.6%
37.30898373 1
0.6%
37.30876827 1
0.6%
37.30827151 1
0.6%
37.30561929 1
0.6%
37.30490694 1
0.6%
37.30449675 1
0.6%
37.30445613 1
0.6%
37.30328539 1
0.6%
37.30309011 1
0.6%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct172
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.00807
Minimum126.93502
Maximum127.08524
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T17:03:32.917707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.93502
5-th percentile126.95041
Q1126.98261
median127.00971
Q3127.0368
95-th percentile127.0661
Maximum127.08524
Range0.150218
Interquartile range (IQR)0.0541925

Descriptive statistics

Standard deviation0.03649977
Coefficient of variation (CV)0.00028738149
Kurtosis-0.74452556
Mean127.00807
Median Absolute Deviation (MAD)0.0270998
Skewness-0.070919143
Sum21972.397
Variance0.0013322332
MonotonicityNot monotonic
2023-12-12T17:03:33.117028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0214568 2
 
1.2%
127.0007735 1
 
0.6%
127.0307732 1
 
0.6%
126.9826116 1
 
0.6%
126.9952856 1
 
0.6%
127.027391 1
 
0.6%
127.0215692 1
 
0.6%
127.0244508 1
 
0.6%
127.028317 1
 
0.6%
127.0296362 1
 
0.6%
Other values (162) 162
93.6%
ValueCountFrequency (%)
126.9350213 1
0.6%
126.9350334 1
0.6%
126.9353576 1
0.6%
126.9363465 1
0.6%
126.9401756 1
0.6%
126.9412016 1
0.6%
126.9445137 1
0.6%
126.9447553 1
0.6%
126.9481166 1
0.6%
126.9519369 1
0.6%
ValueCountFrequency (%)
127.0852393 1
0.6%
127.0816192 1
0.6%
127.0812712 1
0.6%
127.0798857 1
0.6%
127.0783292 1
0.6%
127.0754923 1
0.6%
127.0726745 1
0.6%
127.0700969 1
0.6%
127.068303 1
0.6%
127.0646348 1
0.6%

수용가능면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct153
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean962.58248
Minimum37.42
Maximum13989
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T17:03:33.292189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.42
5-th percentile60.504
Q1136
median264
Q3779
95-th percentile4777.6
Maximum13989
Range13951.58
Interquartile range (IQR)643

Descriptive statistics

Standard deviation2240.9489
Coefficient of variation (CV)2.3280591
Kurtosis18.023847
Mean962.58248
Median Absolute Deviation (MAD)188.28
Skewness4.2020124
Sum166526.77
Variance5021852
MonotonicityNot monotonic
2023-12-12T17:03:33.504308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
135.0 5
 
2.9%
203.0 4
 
2.3%
66.0 3
 
1.7%
201.0 2
 
1.2%
134.0 2
 
1.2%
202.5 2
 
1.2%
132.0 2
 
1.2%
60.0 2
 
1.2%
70.0 2
 
1.2%
170.0 2
 
1.2%
Other values (143) 147
85.0%
ValueCountFrequency (%)
37.42 1
 
0.6%
40.0 1
 
0.6%
42.8 1
 
0.6%
51.23 1
 
0.6%
52.0 2
1.2%
54.95 1
 
0.6%
60.0 2
1.2%
60.84 1
 
0.6%
66.0 3
1.7%
70.0 2
1.2%
ValueCountFrequency (%)
13989.0 1
0.6%
13664.0 1
0.6%
10835.0 1
0.6%
10684.0 1
0.6%
10150.0 1
0.6%
8662.0 1
0.6%
7858.0 1
0.6%
7021.0 1
0.6%
5995.0 1
0.6%
3966.0 1
0.6%

수용가능인원(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct129
Distinct (%)74.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean368.05202
Minimum14
Maximum5380
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T17:03:33.766749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile22
Q151
median100
Q3300
95-th percentile1837
Maximum5380
Range5366
Interquartile range (IQR)249

Descriptive statistics

Standard deviation862.4516
Coefficient of variation (CV)2.3432872
Kurtosis18.008632
Mean368.05202
Median Absolute Deviation (MAD)70
Skewness4.2002143
Sum63673
Variance743822.77
MonotonicityNot monotonic
2023-12-12T17:03:33.978089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
51 7
 
4.0%
78 5
 
2.9%
50 5
 
2.9%
20 4
 
2.3%
83 3
 
1.7%
77 3
 
1.7%
30 3
 
1.7%
54 3
 
1.7%
100 3
 
1.7%
81 2
 
1.2%
Other values (119) 135
78.0%
ValueCountFrequency (%)
14 1
 
0.6%
15 1
 
0.6%
16 1
 
0.6%
20 4
2.3%
21 1
 
0.6%
22 2
1.2%
23 1
 
0.6%
25 2
1.2%
26 1
 
0.6%
27 2
1.2%
ValueCountFrequency (%)
5380 1
0.6%
5255 1
0.6%
4167 1
0.6%
4109 1
0.6%
3904 1
0.6%
3332 1
0.6%
3022 1
0.6%
2700 1
0.6%
2305 1
0.6%
1525 1
0.6%

내진설계
Boolean

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size305.0 B
True
102 
False
71 
ValueCountFrequency (%)
True 102
59.0%
False 71
41.0%
2023-12-12T17:03:34.155507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

사용여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size305.0 B
True
173 
ValueCountFrequency (%)
True 173
100.0%
2023-12-12T17:03:34.273031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
복지정책과
173 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
복지정책과 173
100.0%

Length

2023-12-12T17:03:34.446651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:03:34.592280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복지정책과 173
100.0%

담당부서연락처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
031-228-2209
173 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-228-2209
2nd row031-228-2209
3rd row031-228-2209
4th row031-228-2209
5th row031-228-2209

Common Values

ValueCountFrequency (%)
031-228-2209 173
100.0%

Length

2023-12-12T17:03:34.722210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:03:34.837700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-228-2209 173
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-10-28
173 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-28
2nd row2023-10-28
3rd row2023-10-28
4th row2023-10-28
5th row2023-10-28

Common Values

ValueCountFrequency (%)
2023-10-28 173
100.0%

Length

2023-12-12T17:03:34.962213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:03:35.096642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-28 173
100.0%

Interactions

2023-12-12T17:03:27.098468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:03:25.270283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:03:25.792450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:03:26.395974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:03:27.259141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:03:25.429340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:03:25.944278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:03:26.549743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:03:27.422294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:03:25.544890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:03:26.072843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:03:26.697681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:03:27.582958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:03:25.673900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:03:26.248709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:03:26.868436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:03:35.197452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구청명동명시설구분상세시설명위도경도수용가능면적(제곱미터)수용가능인원(명)내진설계
구청명1.0001.0000.0000.0000.7890.7950.2540.2130.000
동명1.0001.0000.0000.7940.9000.9460.0000.0000.215
시설구분0.0000.0001.0000.9780.0000.0000.5090.5330.548
상세시설명0.0000.7940.9781.0000.5940.0000.7370.8040.692
위도0.7890.9000.0000.5941.0000.5260.1510.1470.084
경도0.7950.9460.0000.0000.5261.0000.1600.2390.238
수용가능면적(제곱미터)0.2540.0000.5090.7370.1510.1601.0000.9990.198
수용가능인원(명)0.2130.0000.5330.8040.1470.2390.9991.0000.243
내진설계0.0000.2150.5480.6920.0840.2380.1980.2431.000
2023-12-12T17:03:35.343856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
동명시설구분내진설계구청명
동명1.0000.0000.1560.890
시설구분0.0001.0000.3920.000
내진설계0.1560.3921.0000.000
구청명0.8900.0000.0001.000
2023-12-12T17:03:35.462801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도수용가능면적(제곱미터)수용가능인원(명)구청명동명시설구분내진설계
위도1.000-0.2450.1080.1170.5970.5330.0000.061
경도-0.2451.000-0.047-0.0380.6050.6440.0000.178
수용가능면적(제곱미터)0.108-0.0471.0000.9940.1140.0000.3110.146
수용가능인원(명)0.117-0.0380.9941.0000.0950.0000.3290.179
구청명0.5970.6050.1140.0951.0000.8900.0000.000
동명0.5330.6440.0000.0000.8901.0000.0000.156
시설구분0.0000.0000.3110.3290.0000.0001.0000.392
내진설계0.0610.1780.1460.1790.0000.1560.3921.000

Missing values

2023-12-12T17:03:27.769469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:03:28.071849image/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

시도명시군명구청명동명시설구분시설명상세시설명도로명주소위도경도수용가능면적(제곱미터)수용가능인원(명)내진설계사용여부담당부서담당부서연락처데이터기준일자
0경기도수원시장안구파장동학교수일초등학교체육관경기도 수원시 장안구 수일로 85(파장동)37.310704127.000773799.0307YY복지정책과031-228-22092023-10-28
1경기도수원시장안구파장동학교파장초등학교체육관경기도 수원시 장안구 경수대로1081번길 32-9 (파장동)37.308984126.992413562.0216YY복지정책과031-228-22092023-10-28
2경기도수원시장안구율전동경로당율천경로당본관경기도 수원시 장안구 서부로2106번길 26-16 (율전동)37.297023126.97192452.020NY복지정책과031-228-22092023-10-28
3경기도수원시장안구율전동관공서율천동행정복지센터2층 소회의실경기도 수원시 장안구 서부로2106번길 27(율전동)37.297555126.971307120.046YY복지정책과031-228-22092023-10-28
4경기도수원시장안구천천동기타시설성균관대학교수성관(체육관)경기도 수원시 장안구 서부로 2066(천천동)37.292798126.97360510150.03904YY복지정책과031-228-22092023-10-28
5경기도수원시장안구율전동학교상률초등학교5층 강당경기도 수원시 장안구 덕영대로417번길 98(율전동)37.304497126.969413567.0218YY복지정책과031-228-22092023-10-28
6경기도수원시장안구율전동학교상률초등학교 본관본관경기도 수원시 장안구 덕영대로417번길 98(율전동)37.304907126.9694088662.03332NY복지정책과031-228-22092023-10-28
7경기도수원시장안구율전동학교율전중학교교육공동체실경기도 수원시 장안구 덕영대로381번길 59(율전동)37.30309126.96633101.039YY복지정책과031-228-22092023-10-28
8경기도수원시장안구율전동학교율전초등학교체육관(별관3층)경기도 수원시 장안구 율전로 113(율전동)37.299523126.96867835.45321YY복지정책과031-228-22092023-10-28
9경기도수원시장안구천천동학교정천초등학교교사동경기도 수원시 장안구 화산로 83(천천동)37.291149126.9830073966.01525YY복지정책과031-228-22092023-10-28
시도명시군명구청명동명시설구분시설명상세시설명도로명주소위도경도수용가능면적(제곱미터)수용가능인원(명)내진설계사용여부담당부서담당부서연락처데이터기준일자
163경기도수원시영통구망포동학교태장초등학교5층 강당경기도 수원시 영통구 태장로71번길 30(망포동)37.240685127.054636636.0244YY복지정책과031-228-22092023-10-28
164경기도수원시영통구망포동관공서망포1동 행정복지센터1층 대회의실경기도 수원시 영통구 영통로90번길 4-16 (망포동)37.237858127.05828970.026NY복지정책과031-228-22092023-10-28
165경기도수원시영통구이의동경로당광교대학로경로당경로당경기도 수원시 영통구 대학4로 23(이의동)37.299658127.04715478.030YY복지정책과031-228-22092023-10-28
166경기도수원시영통구이의동공공시설광교씨름체육관체육관경기도 수원시 영통구 광교산로 154-42 (이의동)37.298568127.035262251.0865NY복지정책과031-228-22092023-10-28
167경기도수원시영통구이의동관공서광교1동행정복지센터4층 대강당경기도 수원시 영통구 도청로89번길 20(이의동)37.29022127.047556396.0152YY복지정책과031-228-22092023-10-28
168경기도수원시영통구이의동학교광교초등학교2층 다목적강당경기도 수원시 영통구 대학로 91(이의동)37.303285127.045195379.0145YY복지정책과031-228-22092023-10-28
169경기도수원시영통구이의동학교산의초등학교본관 목적강당경기도 수원시 영통구 센트럴타운로22번길 25(이의동)37.290251127.057331778.0299YY복지정책과031-228-22092023-10-28
170경기도수원시영통구이의동학교신풍초등학교3층 다목적강당경기도 수원시 영통구 도청로17번길 24(이의동)37.282741127.013885778.0299YY복지정책과031-228-22092023-10-28
171경기도수원시영통구하동관공서광교2동행정복지센터4층 대회의실경기도 수원시 영통구 법조로149번길 155(하동)37.292298127.070097186.071YY복지정책과031-228-22092023-10-28
172경기도수원시영통구하동학교이의초등학교3층 다목적강당경기도 수원시 영통구 법조로150번길 47(하동)37.292988127.075492648.0249YY복지정책과031-228-22092023-10-28