Overview

Dataset statistics

Number of variables10
Number of observations122
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.1 KiB
Average record size in memory85.1 B

Variable types

Text4
Numeric4
Categorical2

Dataset

Description경기도 안산시에 있는 이재민수용시설의 시설명,소재지도로명주소,소재지 지번주소,시설면적,수용가능인원수,전화번호,위도,경도,관리부서명,데이터기준일자 등의 목록을 제공합니다.
Author경기도 안산시
URLhttps://www.data.go.kr/data/15036519/fileData.do

Alerts

관리부서명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
시설면적 is highly overall correlated with 수용가능인원(명)High correlation
수용가능인원(명) is highly overall correlated with 시설면적High correlation
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:27:41.365621
Analysis finished2023-12-12 13:27:44.110813
Duration2.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T22:27:44.334091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length7
Min length4

Characters and Unicode

Total characters854
Distinct characters131
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)100.0%

Sample

1st row일동 행정복지센터
2nd row성호체육문화센터
3rd row호동초등학교
4th row이동 행정복지센터
5th row구룡체육관
ValueCountFrequency (%)
행정복지센터 22
 
15.1%
고잔8단지경로당 1
 
0.7%
중소기업진흥공단 1
 
0.7%
백운동 1
 
0.7%
양지경로당 1
 
0.7%
원곡고등학교 1
 
0.7%
관산중학교 1
 
0.7%
원곡동 1
 
0.7%
양곡경로당 1
 
0.7%
양지고등학교 1
 
0.7%
Other values (115) 115
78.8%
2023-12-12T22:27:44.773554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 41
 
4.8%
지 41
 
4.8%
교 40
 
4.7%
경 39
 
4.6%
당 35
 
4.1%
로 34
 
4.0%
등 32
 
3.7%
동 31
 
3.6%
초 26
 
3.0%
센 26
 
3.0%
Other values (121) 509
59.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 805
94.3%
Space Separator 24
 
2.8%
Decimal Number 21
 
2.5%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 41
 
5.1%
지 41
 
5.1%
교 40
 
5.0%
경 39
 
4.8%
당 35
 
4.3%
로 34
 
4.2%
등 32
 
4.0%
동 31
 
3.9%
초 26
 
3.2%
센 26
 
3.2%
Other values (110) 460
57.1%
Decimal Number
ValueCountFrequency (%)
1 8
38.1%
3 5
23.8%
2 3
 
14.3%
8 1
 
4.8%
7 1
 
4.8%
5 1
 
4.8%
4 1
 
4.8%
6 1
 
4.8%
Space Separator
ValueCountFrequency (%)
24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 805
94.3%
Common 49
 
5.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 41
 
5.1%
지 41
 
5.1%
교 40
 
5.0%
경 39
 
4.8%
당 35
 
4.3%
로 34
 
4.2%
등 32
 
4.0%
동 31
 
3.9%
초 26
 
3.2%
센 26
 
3.2%
Other values (110) 460
57.1%
Common
ValueCountFrequency (%)
24
49.0%
1 8
 
16.3%
3 5
 
10.2%
2 3
 
6.1%
) 2
 
4.1%
( 2
 
4.1%
8 1
 
2.0%
7 1
 
2.0%
5 1
 
2.0%
4 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 805
94.3%
ASCII 49
 
5.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 41
 
5.1%
지 41
 
5.1%
교 40
 
5.0%
경 39
 
4.8%
당 35
 
4.3%
로 34
 
4.2%
등 32
 
4.0%
동 31
 
3.9%
초 26
 
3.2%
센 26
 
3.2%
Other values (110) 460
57.1%
ASCII
ValueCountFrequency (%)
24
49.0%
1 8
 
16.3%
3 5
 
10.2%
2 3
 
6.1%
) 2
 
4.1%
( 2
 
4.1%
8 1
 
2.0%
7 1
 
2.0%
5 1
 
2.0%
4 1
 
2.0%

소재지도로명주소
Text

Distinct119
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T22:27:45.117436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length37
Mean length25.098361
Min length21

Characters and Unicode

Total characters3062
Distinct characters117
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

Unique117 ?
Unique (%)95.9%

Sample

1st row경기도 안산시 상록구 성호로 53(일동)
2nd row경기도 안산시 상록구 성호로 43(일동)
3rd row경기도 안산시 상록구 성호로 70(일동)
4th row경기도 안산시 상록구 이동로 46(이동)
5th row경기도 안산시 상록구 구룡체육관로 21(이동)
ValueCountFrequency (%)
경기도 122
19.2%
안산시 122
19.2%
상록구 64
 
10.1%
단원구 58
 
9.1%
주공아파트 9
 
1.4%
원선로 5
 
0.8%
성호로 5
 
0.8%
석호로 5
 
0.8%
삼일로 4
 
0.6%
화정천동로 4
 
0.6%
Other values (202) 236
37.2%
2023-12-12T22:27:45.659525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
512
 
16.7%
동 135
 
4.4%
안 131
 
4.3%
산 129
 
4.2%
시 125
 
4.1%
기 123
 
4.0%
구 123
 
4.0%
경 122
 
4.0%
( 122
 
4.0%
도 122
 
4.0%
Other values (107) 1418
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1962
64.1%
Space Separator 512
 
16.7%
Decimal Number 320
 
10.5%
Open Punctuation 122
 
4.0%
Close Punctuation 122
 
4.0%
Other Punctuation 14
 
0.5%
Dash Punctuation 10
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 135
 
6.9%
안 131
 
6.7%
산 129
 
6.6%
시 125
 
6.4%
기 123
 
6.3%
구 123
 
6.3%
경 122
 
6.2%
도 122
 
6.2%
로 107
 
5.5%
원 75
 
3.8%
Other values (92) 770
39.2%
Decimal Number
ValueCountFrequency (%)
1 66
20.6%
2 47
14.7%
3 41
12.8%
5 30
9.4%
6 26
 
8.1%
4 26
 
8.1%
9 24
 
7.5%
7 22
 
6.9%
0 20
 
6.2%
8 18
 
5.6%
Space Separator
ValueCountFrequency (%)
512
100.0%
Open Punctuation
ValueCountFrequency (%)
( 122
100.0%
Close Punctuation
ValueCountFrequency (%)
) 122
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1962
64.1%
Common 1100
35.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 135
 
6.9%
안 131
 
6.7%
산 129
 
6.6%
시 125
 
6.4%
기 123
 
6.3%
구 123
 
6.3%
경 122
 
6.2%
도 122
 
6.2%
로 107
 
5.5%
원 75
 
3.8%
Other values (92) 770
39.2%
Common
ValueCountFrequency (%)
512
46.5%
( 122
 
11.1%
) 122
 
11.1%
1 66
 
6.0%
2 47
 
4.3%
3 41
 
3.7%
5 30
 
2.7%
6 26
 
2.4%
4 26
 
2.4%
9 24
 
2.2%
Other values (5) 84
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1962
64.1%
ASCII 1100
35.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
512
46.5%
( 122
 
11.1%
) 122
 
11.1%
1 66
 
6.0%
2 47
 
4.3%
3 41
 
3.7%
5 30
 
2.7%
6 26
 
2.4%
4 26
 
2.4%
9 24
 
2.2%
Other values (5) 84
 
7.6%
Hangul
ValueCountFrequency (%)
동 135
 
6.9%
안 131
 
6.7%
산 129
 
6.6%
시 125
 
6.4%
기 123
 
6.3%
구 123
 
6.3%
경 122
 
6.2%
도 122
 
6.2%
로 107
 
5.5%
원 75
 
3.8%
Other values (92) 770
39.2%

소재지지번주소
Text

Distinct120
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T22:27:46.039757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30
Mean length27
Min length18

Characters and Unicode

Total characters3294
Distinct characters132
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique118 ?
Unique (%)96.7%

Sample

1st row경기도 안산시 상록구 일동 706-3 일동행정복지센터
2nd row경기도 안산시 상록구 일동 707
3rd row경기도 안산시 상록구 일동 601 안산호동초등학교
4th row경기도 안산시 상록구 이동 578-12 이동행정복지센터
5th row경기도 안산시 상록구 이동 609-3 구룡체육관
ValueCountFrequency (%)
경기도 122
16.9%
안산시 122
16.9%
상록구 64
 
8.9%
단원구 58
 
8.0%
선부동 18
 
2.5%
사동 14
 
1.9%
고잔동 13
 
1.8%
본오동 13
 
1.8%
원곡동 9
 
1.2%
부곡동 8
 
1.1%
Other values (237) 282
39.0%
2023-12-12T22:27:46.555362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
611
18.5%
경 157
 
4.8%
동 150
 
4.6%
산 133
 
4.0%
안 132
 
4.0%
시 126
 
3.8%
구 126
 
3.8%
기 125
 
3.8%
도 122
 
3.7%
1 98
 
3.0%
Other values (122) 1514
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2162
65.6%
Space Separator 611
 
18.5%
Decimal Number 472
 
14.3%
Dash Punctuation 49
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 157
 
7.3%
동 150
 
6.9%
산 133
 
6.2%
안 132
 
6.1%
시 126
 
5.8%
구 126
 
5.8%
기 125
 
5.8%
도 122
 
5.6%
원 76
 
3.5%
상 72
 
3.3%
Other values (110) 943
43.6%
Decimal Number
ValueCountFrequency (%)
1 98
20.8%
6 51
10.8%
7 45
9.5%
3 43
9.1%
2 42
8.9%
4 41
8.7%
0 41
8.7%
8 40
8.5%
9 38
 
8.1%
5 33
 
7.0%
Space Separator
ValueCountFrequency (%)
611
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2162
65.6%
Common 1132
34.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 157
 
7.3%
동 150
 
6.9%
산 133
 
6.2%
안 132
 
6.1%
시 126
 
5.8%
구 126
 
5.8%
기 125
 
5.8%
도 122
 
5.6%
원 76
 
3.5%
상 72
 
3.3%
Other values (110) 943
43.6%
Common
ValueCountFrequency (%)
611
54.0%
1 98
 
8.7%
6 51
 
4.5%
- 49
 
4.3%
7 45
 
4.0%
3 43
 
3.8%
2 42
 
3.7%
4 41
 
3.6%
0 41
 
3.6%
8 40
 
3.5%
Other values (2) 71
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2162
65.6%
ASCII 1132
34.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
611
54.0%
1 98
 
8.7%
6 51
 
4.5%
- 49
 
4.3%
7 45
 
4.0%
3 43
 
3.8%
2 42
 
3.7%
4 41
 
3.6%
0 41
 
3.6%
8 40
 
3.5%
Other values (2) 71
 
6.3%
Hangul
ValueCountFrequency (%)
경 157
 
7.3%
동 150
 
6.9%
산 133
 
6.2%
안 132
 
6.1%
시 126
 
5.8%
구 126
 
5.8%
기 125
 
5.8%
도 122
 
5.6%
원 76
 
3.5%
상 72
 
3.3%
Other values (110) 943
43.6%

시설면적
Real number (ℝ)

HIGH CORRELATION 

Distinct70
Distinct (%)57.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean649.67861
Minimum23
Maximum3960
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T22:27:46.719889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile67.2
Q1200.25
median457
Q3815
95-th percentile1861.1395
Maximum3960
Range3937
Interquartile range (IQR)614.75

Descriptive statistics

Standard deviation679.97325
Coefficient of variation (CV)1.0466302
Kurtosis6.5396735
Mean649.67861
Median Absolute Deviation (MAD)292
Skewness2.3200866
Sum79260.79
Variance462363.62
MonotonicityNot monotonic
2023-12-12T22:27:46.865723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600.0 14
 
11.5%
300.0 10
 
8.2%
165.0 8
 
6.6%
500.0 3
 
2.5%
900.0 3
 
2.5%
330.0 3
 
2.5%
3000.0 3
 
2.5%
50.0 3
 
2.5%
1500.0 3
 
2.5%
201.0 2
 
1.6%
Other values (60) 70
57.4%
ValueCountFrequency (%)
23.0 1
 
0.8%
33.0 1
 
0.8%
50.0 3
2.5%
66.0 2
1.6%
90.0 2
1.6%
100.0 2
1.6%
110.0 1
 
0.8%
130.0 1
 
0.8%
132.0 1
 
0.8%
146.88 1
 
0.8%
ValueCountFrequency (%)
3960.0 1
 
0.8%
3000.0 3
2.5%
2373.0 1
 
0.8%
2000.0 1
 
0.8%
1862.16 1
 
0.8%
1841.75 1
 
0.8%
1800.0 1
 
0.8%
1600.0 2
1.6%
1500.0 3
2.5%
1347.0 1
 
0.8%

수용가능인원(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct68
Distinct (%)55.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean247.5
Minimum5
Maximum1523
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T22:27:47.047614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile25.45
Q170
median163
Q3313
95-th percentile715.6
Maximum1523
Range1518
Interquartile range (IQR)243

Descriptive statistics

Standard deviation262.38119
Coefficient of variation (CV)1.060126
Kurtosis6.4892013
Mean247.5
Median Absolute Deviation (MAD)100
Skewness2.3137027
Sum30195
Variance68843.888
MonotonicityNot monotonic
2023-12-12T22:27:47.188148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
230 13
 
10.7%
115 10
 
8.2%
63 8
 
6.6%
57 3
 
2.5%
576 3
 
2.5%
19 3
 
2.5%
346 3
 
2.5%
192 3
 
2.5%
126 3
 
2.5%
1153 3
 
2.5%
Other values (58) 70
57.4%
ValueCountFrequency (%)
5 1
 
0.8%
12 1
 
0.8%
19 3
2.5%
25 2
1.6%
34 2
1.6%
38 2
1.6%
40 1
 
0.8%
42 1
 
0.8%
50 3
2.5%
56 1
 
0.8%
ValueCountFrequency (%)
1523 1
 
0.8%
1153 3
2.5%
912 1
 
0.8%
769 1
 
0.8%
716 1
 
0.8%
708 1
 
0.8%
692 1
 
0.8%
615 2
1.6%
576 3
2.5%
518 1
 
0.8%

대표전화
Text

Distinct116
Distinct (%)95.9%
Missing1
Missing (%)0.8%
Memory size1.1 KiB
2023-12-12T22:27:47.521552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.090909
Min length12

Characters and Unicode

Total characters1463
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

Unique114 ?
Unique (%)94.2%

Sample

1st row031-481-5601
2nd row031-440-8303
3rd row031-487-4462
4th row031-481-5612
5th row031-408-3852
ValueCountFrequency (%)
031-8085-7416 5
 
4.1%
031-416-0208 2
 
1.7%
031-481-6611 1
 
0.8%
031-481-5601 1
 
0.8%
031-411-5518 1
 
0.8%
031-599-9612 1
 
0.8%
031-487-4548 1
 
0.8%
031-490-1225 1
 
0.8%
031-481-6770 1
 
0.8%
031-8085-0005 1
 
0.8%
Other values (106) 106
87.6%
2023-12-12T22:27:47.948200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 242
16.5%
0 221
15.1%
1 210
14.4%
3 182
12.4%
4 159
10.9%
8 132
9.0%
6 87
 
5.9%
5 75
 
5.1%
7 73
 
5.0%
2 47
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1221
83.5%
Dash Punctuation 242
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 221
18.1%
1 210
17.2%
3 182
14.9%
4 159
13.0%
8 132
10.8%
6 87
 
7.1%
5 75
 
6.1%
7 73
 
6.0%
2 47
 
3.8%
9 35
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1463
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 242
16.5%
0 221
15.1%
1 210
14.4%
3 182
12.4%
4 159
10.9%
8 132
9.0%
6 87
 
5.9%
5 75
 
5.1%
7 73
 
5.0%
2 47
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1463
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 242
16.5%
0 221
15.1%
1 210
14.4%
3 182
12.4%
4 159
10.9%
8 132
9.0%
6 87
 
5.9%
5 75
 
5.1%
7 73
 
5.0%
2 47
 
3.2%

위도
Real number (ℝ)

Distinct120
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.317967
Minimum37.219409
Maximum37.364808
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T22:27:48.083493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.219409
5-th percentile37.283384
Q137.301067
median37.32613
Q337.334311
95-th percentile37.350513
Maximum37.364808
Range0.14539905
Interquartile range (IQR)0.033244211

Descriptive statistics

Standard deviation0.02608243
Coefficient of variation (CV)0.00069892419
Kurtosis2.2919653
Mean37.317967
Median Absolute Deviation (MAD)0.015471138
Skewness-1.1471603
Sum4552.792
Variance0.00068029315
MonotonicityNot monotonic
2023-12-12T22:27:48.244753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.332883122498 2
 
1.6%
37.32983943876378 2
 
1.6%
37.31029689706048 1
 
0.8%
37.32379618953946 1
 
0.8%
37.32089085084055 1
 
0.8%
37.328196 1
 
0.8%
37.32819421641188 1
 
0.8%
37.332885660987166 1
 
0.8%
37.33464276595809 1
 
0.8%
37.33322852935535 1
 
0.8%
Other values (110) 110
90.2%
ValueCountFrequency (%)
37.21940935377562 1
0.8%
37.2266737000849 1
0.8%
37.240931385982165 1
0.8%
37.2478822141597 1
0.8%
37.254837 1
0.8%
37.27685822341503 1
0.8%
37.28335653816863 1
0.8%
37.283912589484935 1
0.8%
37.28510433394899 1
0.8%
37.28538362592713 1
0.8%
ValueCountFrequency (%)
37.36480840766871 1
0.8%
37.36462307218421 1
0.8%
37.361878 1
0.8%
37.36105359845004 1
0.8%
37.3603322 1
0.8%
37.35999080679274 1
0.8%
37.3506707 1
0.8%
37.34752174922346 1
0.8%
37.34596590632056 1
0.8%
37.345008 1
0.8%

경도
Real number (ℝ)

Distinct119
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.83036
Minimum126.57581
Maximum126.91743
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T22:27:48.400714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.57581
5-th percentile126.77773
Q1126.81287
median126.84327
Q3126.86086
95-th percentile126.88483
Maximum126.91743
Range0.34162611
Interquartile range (IQR)0.047983605

Descriptive statistics

Standard deviation0.057084454
Coefficient of variation (CV)0.00045008509
Kurtosis9.8117293
Mean126.83036
Median Absolute Deviation (MAD)0.024071464
Skewness-2.7629568
Sum15473.304
Variance0.0032586348
MonotonicityNot monotonic
2023-12-12T22:27:48.547053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.906572 2
 
1.6%
126.81481555418286 2
 
1.6%
126.84507146142629 2
 
1.6%
126.86625177048276 1
 
0.8%
126.8376284073372 1
 
0.8%
126.79803169591602 1
 
0.8%
126.797066 1
 
0.8%
126.79715293293744 1
 
0.8%
126.79864577831356 1
 
0.8%
126.79841551931064 1
 
0.8%
Other values (109) 109
89.3%
ValueCountFrequency (%)
126.57580556325266 1
0.8%
126.57736359956284 1
0.8%
126.60013476643856 1
0.8%
126.602007 1
0.8%
126.63029649096204 1
0.8%
126.77444383292992 1
0.8%
126.77743664810112 1
0.8%
126.78321866889183 1
0.8%
126.78368334599826 1
0.8%
126.79082827356764 1
0.8%
ValueCountFrequency (%)
126.91743167439812 1
0.8%
126.90669358958212 1
0.8%
126.906572 2
1.6%
126.90215704925582 1
0.8%
126.90050258130832 1
0.8%
126.88506818786593 1
0.8%
126.88037409772468 1
0.8%
126.87887127344584 1
0.8%
126.87527219414736 1
0.8%
126.87473548558008 1
0.8%

관리부서명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
경기도 안산시 복지국 복지정책과
122 

Length

Max length17
Median length17
Mean length17
Min length17

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 안산시 복지국 복지정책과
2nd row경기도 안산시 복지국 복지정책과
3rd row경기도 안산시 복지국 복지정책과
4th row경기도 안산시 복지국 복지정책과
5th row경기도 안산시 복지국 복지정책과

Common Values

ValueCountFrequency (%)
경기도 안산시 복지국 복지정책과 122
100.0%

Length

2023-12-12T22:27:48.671510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:27:48.767909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 122
25.0%
안산시 122
25.0%
복지국 122
25.0%
복지정책과 122
25.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-10-31
122 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-31
2nd row2023-10-31
3rd row2023-10-31
4th row2023-10-31
5th row2023-10-31

Common Values

ValueCountFrequency (%)
2023-10-31 122
100.0%

Length

2023-12-12T22:27:48.878834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:27:48.983827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-31 122
100.0%

Interactions

2023-12-12T22:27:43.433154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:27:41.760926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:27:42.214633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:27:42.669226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:27:43.539923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:27:41.871494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:27:42.303340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:27:43.115863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:27:43.636757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:27:41.975472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:27:42.416376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:27:43.225722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:27:43.742214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:27:42.095175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:27:42.552018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:27:43.333088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:27:49.041318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설면적수용가능인원(명)위도경도
시설면적1.0001.0000.0000.000
수용가능인원(명)1.0001.0000.0000.000
위도0.0000.0001.0000.772
경도0.0000.0000.7721.000
2023-12-12T22:27:49.130058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설면적수용가능인원(명)위도경도
시설면적1.0000.987-0.116-0.057
수용가능인원(명)0.9871.000-0.129-0.032
위도-0.116-0.1291.000-0.237
경도-0.057-0.032-0.2371.000

Missing values

2023-12-12T22:27:43.880709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:27:44.044662image/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

시설명소재지도로명주소소재지지번주소시설면적수용가능인원(명)대표전화위도경도관리부서명데이터기준일자
0일동 행정복지센터경기도 안산시 상록구 성호로 53(일동)경기도 안산시 상록구 일동 706-3 일동행정복지센터1100.0423031-481-560137.310297126.866252경기도 안산시 복지국 복지정책과2023-10-31
1성호체육문화센터경기도 안산시 상록구 성호로 43(일동)경기도 안산시 상록구 일동 7071841.75708031-440-830337.310616126.866851경기도 안산시 복지국 복지정책과2023-10-31
2호동초등학교경기도 안산시 상록구 성호로 70(일동)경기도 안산시 상록구 일동 601 안산호동초등학교300.0115031-487-446237.31267126.86505경기도 안산시 복지국 복지정책과2023-10-31
3이동 행정복지센터경기도 안산시 상록구 이동로 46(이동)경기도 안산시 상록구 이동 578-12 이동행정복지센터450.0173031-481-561237.305351126.860864경기도 안산시 복지국 복지정책과2023-10-31
4구룡체육관경기도 안산시 상록구 구룡체육관로 21(이동)경기도 안산시 상록구 이동 609-3 구룡체육관330.0126031-408-385237.308249126.86048경기도 안산시 복지국 복지정책과2023-10-31
5매화초등학교경기도 안산시 상록구 안산대학로 35(이동)경기도 안산시 상록구 이동 608 안산매화초등학교300.0115031-400-150037.306074126.862713경기도 안산시 복지국 복지정책과2023-10-31
6사동 행정복지센터경기도 안산시 상록구 석호로 171(사동)경기도 안산시 상록구 사동 1304 사동 행정복지센터322.2123031-481-550237.297135126.851009경기도 안산시 복지국 복지정책과2023-10-31
7상록구청경기도 안산시 상록구 석호로 110(사동)경기도 안산시 상록구 사동 1585 상록구청523.0201031-481-215437.30097126.846389경기도 안산시 복지국 복지정책과2023-10-31
8감골시민홀경기도 안산시 상록구 석호로 226(사동)경기도 안산시 상록구 사동 13421862.16716031-417-501437.293508126.85594경기도 안산시 복지국 복지정책과2023-10-31
9석호초등학교경기도 안산시 상록구 석호로 113(사동)경기도 안산시 상록구 사동 1193 석호초등학교600.0230031-487-548337.301358126.848044경기도 안산시 복지국 복지정책과2023-10-31
시설명소재지도로명주소소재지지번주소시설면적수용가능인원(명)대표전화위도경도관리부서명데이터기준일자
112선부3동 행정복지센터경기도 안산시 단원구 선삼로 47(선부동)경기도 안산시 단원구 선부동 1135246.9794031-481-692037.345008126.81265경기도 안산시 복지국 복지정책과2023-10-31
113선부중학교경기도 안산시 단원구 달미로 95(선부동)경기도 안산시 단원구 선부동 1138 선부중학교600.0230031-487-761337.344399126.813879경기도 안산시 복지국 복지정책과2023-10-31
114선부초등학교경기도 안산시 단원구 달미로 24(선부동)경기도 안산시 단원구 선부동 1086-1 선부초등학교600.0230031-487-364637.337975126.813886경기도 안산시 복지국 복지정책과2023-10-31
115정지초등학교경기도 안산시 단원구 정지로 57(선부동)경기도 안산시 단원구 선부동 1084 정지초등학교201.077031-487-602537.341596126.811341경기도 안산시 복지국 복지정책과2023-10-31
116화정초등학교경기도 안산시 단원구 화정천서로 545(선부동)경기도 안산시 단원구 선부동 1100 화정초등학교600.0230031-487-621137.345966126.81742경기도 안산시 복지국 복지정책과2023-10-31
117경기창작센터경기도 안산시 단원구 선감로 101-19 (선감동)경기도 안산시 단원구 선감동 400-3 경기창작센터464.0178032-890-481137.226674126.630296경기도 안산시 복지국 복지정책과2023-10-31
118대부동복지체육센터경기도 안산시 단원구 영전로 126(대부동동)경기도 안산시 단원구 대부동동 2123774.84298032-880-976837.254837126.602007경기도 안산시 복지국 복지정책과2023-10-31
119대남초등학교경기도 안산시 단원구 대남로 298(대부남동)경기도 안산시 단원구 대부남동 1066-123 대남초등학교300.0115032-886-982537.219409126.575806경기도 안산시 복지국 복지정책과2023-10-31
120대동초등학교경기도 안산시 단원구 솔따배기길 134-9 (대부동동)경기도 안산시 단원구 대부동동 838 대동초등학교330.0126032-886-948537.240931126.600135경기도 안산시 복지국 복지정책과2023-10-31
121대부중고등학교경기도 안산시 단원구 대부중앙로 3(대부북동)경기도 안산시 단원구 대부북동 697-6 대부종합고등학교165.063032-886-427737.247882126.577364경기도 안산시 복지국 복지정책과2023-10-31