Overview

Dataset statistics

Number of variables10
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory90.8 B

Variable types

Numeric5
Text3
DateTime2

Dataset

Description해운대구 소재 지역아동센터 현황으로 시설명, 소재지,연락처, 데이터 기준연도, 정원, 현원 정보를 포함하고 있습니다.
Author부산광역시 해운대구
URLhttps://www.data.go.kr/data/15035066/fileData.do

Alerts

데이터 기준일 has constant value ""Constant
정원 is highly overall correlated with 현원High correlation
현원 is highly overall correlated with 정원High correlation
연번 has unique valuesUnique
시설명 has unique valuesUnique
소재지 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2024-03-15 01:30:44.189710
Analysis finished2024-03-15 01:30:51.104630
Duration6.91 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 size326.0 B
2024-03-15T10:30:51.252321image/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
2024-03-15T10:30:51.608620image/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%

시설명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size304.0 B
2024-03-15T10:30:52.372813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length9.5454545
Min length8

Characters and Unicode

Total characters210
Distinct characters65
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 row1318해피존꿈앤꾼지역아동센터
2nd rowLH행복꿈터해운대지역아동센터
3rd row가람뫼지역아동센터
4th row꿈샘지역아동센터
5th row나눔터지역아동센터
ValueCountFrequency (%)
1318해피존꿈앤꾼지역아동센터 1
 
4.5%
lh행복꿈터해운대지역아동센터 1
 
4.5%
해봄지역아동센터 1
 
4.5%
하늘가람지역아동센터 1
 
4.5%
파랑새지역아동센터 1
 
4.5%
즐거운지역아동센터 1
 
4.5%
좌동지역아동센터 1
 
4.5%
재반지역아동센터 1
 
4.5%
예선지역아동센터 1
 
4.5%
송정지역아동센터 1
 
4.5%
Other values (12) 12
54.5%
2024-03-15T10:30:53.523705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 24
 
11.4%
터 24
 
11.4%
지 22
 
10.5%
역 22
 
10.5%
아 22
 
10.5%
센 22
 
10.5%
반 4
 
1.9%
해 3
 
1.4%
꿈 3
 
1.4%
1 2
 
1.0%
Other values (55) 62
29.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 204
97.1%
Decimal Number 4
 
1.9%
Uppercase Letter 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 24
11.8%
터 24
11.8%
지 22
 
10.8%
역 22
 
10.8%
아 22
 
10.8%
센 22
 
10.8%
반 4
 
2.0%
해 3
 
1.5%
꿈 3
 
1.5%
운 2
 
1.0%
Other values (50) 56
27.5%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
8 1
25.0%
3 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
H 1
50.0%
L 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 204
97.1%
Common 4
 
1.9%
Latin 2
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 24
11.8%
터 24
11.8%
지 22
 
10.8%
역 22
 
10.8%
아 22
 
10.8%
센 22
 
10.8%
반 4
 
2.0%
해 3
 
1.5%
꿈 3
 
1.5%
운 2
 
1.0%
Other values (50) 56
27.5%
Common
ValueCountFrequency (%)
1 2
50.0%
8 1
25.0%
3 1
25.0%
Latin
ValueCountFrequency (%)
H 1
50.0%
L 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 204
97.1%
ASCII 6
 
2.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 24
11.8%
터 24
11.8%
지 22
 
10.8%
역 22
 
10.8%
아 22
 
10.8%
센 22
 
10.8%
반 4
 
2.0%
해 3
 
1.5%
꿈 3
 
1.5%
운 2
 
1.0%
Other values (50) 56
27.5%
ASCII
ValueCountFrequency (%)
1 2
33.3%
H 1
16.7%
L 1
16.7%
8 1
16.7%
3 1
16.7%

소재지
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size304.0 B
2024-03-15T10:30:54.348091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length38.5
Mean length34.954545
Min length26

Characters and Unicode

Total characters769
Distinct characters69
Distinct categories8 ?
Distinct scripts2 ?
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 row부산광역시 해운대구 신반송로 138-2, 302호 (반송동, 대성빌라)
2nd row부산광역시 해운대구 재반로12번길 16 (재송동)
3rd row부산광역시 해운대구 재반로226번길 72, 상가동 3층 (반여동, 현대일성아파트)
4th row부산광역시 해운대구 우동2로 71, 2층(우동)
5th row부산광역시 해운대구 달맞이길 239-11, 상가동 202, 203호 (중동, 달맞이우성빌라트)
ValueCountFrequency (%)
부산광역시 22
 
15.5%
해운대구 22
 
15.5%
반송동 8
 
5.6%
재송동 5
 
3.5%
2층 4
 
2.8%
3층 4
 
2.8%
반여동 3
 
2.1%
상가동 3
 
2.1%
4층 3
 
2.1%
신반송로 3
 
2.1%
Other values (59) 65
45.8%
2024-03-15T10:30:55.675409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
 
15.6%
2 32
 
4.2%
동 28
 
3.6%
대 28
 
3.6%
, 27
 
3.5%
1 25
 
3.3%
송 25
 
3.3%
해 23
 
3.0%
운 23
 
3.0%
반 23
 
3.0%
Other values (59) 415
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 436
56.7%
Decimal Number 133
 
17.3%
Space Separator 120
 
15.6%
Other Punctuation 27
 
3.5%
Close Punctuation 22
 
2.9%
Open Punctuation 22
 
2.9%
Dash Punctuation 7
 
0.9%
Math Symbol 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 28
 
6.4%
대 28
 
6.4%
송 25
 
5.7%
해 23
 
5.3%
운 23
 
5.3%
반 23
 
5.3%
산 22
 
5.0%
부 22
 
5.0%
구 22
 
5.0%
광 22
 
5.0%
Other values (43) 198
45.4%
Decimal Number
ValueCountFrequency (%)
2 32
24.1%
1 25
18.8%
3 18
13.5%
4 12
 
9.0%
5 11
 
8.3%
0 10
 
7.5%
6 8
 
6.0%
7 6
 
4.5%
9 6
 
4.5%
8 5
 
3.8%
Space Separator
ValueCountFrequency (%)
120
100.0%
Other Punctuation
ValueCountFrequency (%)
, 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 436
56.7%
Common 333
43.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 28
 
6.4%
대 28
 
6.4%
송 25
 
5.7%
해 23
 
5.3%
운 23
 
5.3%
반 23
 
5.3%
산 22
 
5.0%
부 22
 
5.0%
구 22
 
5.0%
광 22
 
5.0%
Other values (43) 198
45.4%
Common
ValueCountFrequency (%)
120
36.0%
2 32
 
9.6%
, 27
 
8.1%
1 25
 
7.5%
) 22
 
6.6%
( 22
 
6.6%
3 18
 
5.4%
4 12
 
3.6%
5 11
 
3.3%
0 10
 
3.0%
Other values (6) 34
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 436
56.7%
ASCII 333
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
36.0%
2 32
 
9.6%
, 27
 
8.1%
1 25
 
7.5%
) 22
 
6.6%
( 22
 
6.6%
3 18
 
5.4%
4 12
 
3.6%
5 11
 
3.3%
0 10
 
3.0%
Other values (6) 34
 
10.2%
Hangul
ValueCountFrequency (%)
동 28
 
6.4%
대 28
 
6.4%
송 25
 
5.7%
해 23
 
5.3%
운 23
 
5.3%
반 23
 
5.3%
산 22
 
5.0%
부 22
 
5.0%
구 22
 
5.0%
광 22
 
5.0%
Other values (43) 198
45.4%

연락처
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size304.0 B
2024-03-15T10:30:56.418365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters264
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

Unique22 ?
Unique (%)100.0%

Sample

1st row051-542-1813
2nd row051-724-5105
3rd row051-784-0488
4th row051-741-8301
5th row051-746-9107
ValueCountFrequency (%)
051-542-1813 1
 
4.5%
051-724-5105 1
 
4.5%
051-542-1391 1
 
4.5%
051-783-1118 1
 
4.5%
051-927-0115 1
 
4.5%
051-782-7776 1
 
4.5%
051-746-3389 1
 
4.5%
051-783-7822 1
 
4.5%
051-746-9100 1
 
4.5%
051-702-4529 1
 
4.5%
Other values (12) 12
54.5%
2024-03-15T10:30:57.547134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 44
16.7%
- 44
16.7%
1 40
15.2%
0 33
12.5%
7 21
8.0%
2 18
6.8%
4 17
 
6.4%
3 17
 
6.4%
8 15
 
5.7%
9 9
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 220
83.3%
Dash Punctuation 44
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 44
20.0%
1 40
18.2%
0 33
15.0%
7 21
9.5%
2 18
8.2%
4 17
 
7.7%
3 17
 
7.7%
8 15
 
6.8%
9 9
 
4.1%
6 6
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 264
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 44
16.7%
- 44
16.7%
1 40
15.2%
0 33
12.5%
7 21
8.0%
2 18
6.8%
4 17
 
6.4%
3 17
 
6.4%
8 15
 
5.7%
9 9
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 264
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 44
16.7%
- 44
16.7%
1 40
15.2%
0 33
12.5%
7 21
8.0%
2 18
6.8%
4 17
 
6.4%
3 17
 
6.4%
8 15
 
5.7%
9 9
 
3.4%

설립일자
Date

Distinct20
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size304.0 B
Minimum2005-06-29 00:00:00
Maximum2023-11-01 00:00:00
2024-03-15T10:30:57.957507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:30:58.329636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

정원
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)31.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.590909
Minimum19
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size326.0 B
2024-03-15T10:30:58.807316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile19
Q119
median25
Q332
95-th percentile39
Maximum39
Range20
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.8112196
Coefficient of variation (CV)0.29375527
Kurtosis-1.2399819
Mean26.590909
Median Absolute Deviation (MAD)6
Skewness0.50501641
Sum585
Variance61.015152
MonotonicityNot monotonic
2024-03-15T10:30:59.412018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
19 9
40.9%
39 4
18.2%
29 4
18.2%
25 2
 
9.1%
35 1
 
4.5%
33 1
 
4.5%
24 1
 
4.5%
ValueCountFrequency (%)
19 9
40.9%
24 1
 
4.5%
25 2
 
9.1%
29 4
18.2%
33 1
 
4.5%
35 1
 
4.5%
39 4
18.2%
ValueCountFrequency (%)
39 4
18.2%
35 1
 
4.5%
33 1
 
4.5%
29 4
18.2%
25 2
 
9.1%
24 1
 
4.5%
19 9
40.9%

현원
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.227273
Minimum14
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size326.0 B
2024-03-15T10:30:59.824869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile16.05
Q118.25
median22.5
Q332
95-th percentile38.95
Maximum39
Range25
Interquartile range (IQR)13.75

Descriptive statistics

Standard deviation8.3775881
Coefficient of variation (CV)0.33208457
Kurtosis-1.244994
Mean25.227273
Median Absolute Deviation (MAD)5.5
Skewness0.49513315
Sum555
Variance70.183983
MonotonicityNot monotonic
2024-03-15T10:31:00.254552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
19 3
13.6%
39 2
 
9.1%
18 2
 
9.1%
29 2
 
9.1%
17 2
 
9.1%
21 1
 
4.5%
33 1
 
4.5%
28 1
 
4.5%
37 1
 
4.5%
22 1
 
4.5%
Other values (6) 6
27.3%
ValueCountFrequency (%)
14 1
 
4.5%
16 1
 
4.5%
17 2
9.1%
18 2
9.1%
19 3
13.6%
21 1
 
4.5%
22 1
 
4.5%
23 1
 
4.5%
25 1
 
4.5%
28 1
 
4.5%
ValueCountFrequency (%)
39 2
9.1%
38 1
4.5%
37 1
4.5%
35 1
4.5%
33 1
4.5%
29 2
9.1%
28 1
4.5%
25 1
4.5%
23 1
4.5%
22 1
4.5%

위도
Real number (ℝ)

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.199737
Minimum35.163043
Maximum35.230309
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size326.0 B
2024-03-15T10:31:00.737524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.163043
5-th percentile35.164724
Q135.18152
median35.193594
Q335.227116
95-th percentile35.230273
Maximum35.230309
Range0.0672654
Interquartile range (IQR)0.0455958

Descriptive statistics

Standard deviation0.024065163
Coefficient of variation (CV)0.00068367451
Kurtosis-1.4724441
Mean35.199737
Median Absolute Deviation (MAD)0.02208175
Skewness0.083143855
Sum774.39421
Variance0.00057913207
MonotonicityNot monotonic
2024-03-15T10:31:01.172540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
35.191093 2
 
9.1%
35.2300199 1
 
4.5%
35.1799212 1
 
4.5%
35.2247845 1
 
4.5%
35.2303088 1
 
4.5%
35.1863152 1
 
4.5%
35.2288558 1
 
4.5%
35.1735713 1
 
4.5%
35.1644756 1
 
4.5%
35.1886907 1
 
4.5%
Other values (11) 11
50.0%
ValueCountFrequency (%)
35.1630434 1
4.5%
35.1644756 1
4.5%
35.1694526 1
4.5%
35.1735713 1
4.5%
35.176396 1
4.5%
35.1799212 1
4.5%
35.1863152 1
4.5%
35.1886907 1
4.5%
35.191093 2
9.1%
35.1911214 1
4.5%
ValueCountFrequency (%)
35.2303088 1
4.5%
35.2302816 1
4.5%
35.2301122 1
4.5%
35.2300199 1
4.5%
35.2288558 1
4.5%
35.2278925 1
4.5%
35.2247845 1
4.5%
35.2224476 1
4.5%
35.2000296 1
4.5%
35.1982414 1
4.5%

경도
Real number (ℝ)

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.15069
Minimum129.11729
Maximum129.206
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size326.0 B
2024-03-15T10:31:01.600183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.11729
5-th percentile129.12488
Q1129.13281
median129.15357
Q3129.15862
95-th percentile129.18429
Maximum129.206
Range0.0887078
Interquartile range (IQR)0.025812675

Descriptive statistics

Standard deviation0.021448435
Coefficient of variation (CV)0.00016607295
Kurtosis0.6888997
Mean129.15069
Median Absolute Deviation (MAD)0.01729185
Skewness0.67074563
Sum2841.3151
Variance0.00046003536
MonotonicityNot monotonic
2024-03-15T10:31:02.178275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
129.1328055 2
 
9.1%
129.1613096 1
 
4.5%
129.1278002 1
 
4.5%
129.1497514 1
 
4.5%
129.1586597 1
 
4.5%
129.1253256 1
 
4.5%
129.1584936 1
 
4.5%
129.1689248 1
 
4.5%
129.1565612 1
 
4.5%
129.2059995 1
 
4.5%
Other values (11) 11
50.0%
ValueCountFrequency (%)
129.1172917 1
4.5%
129.1248617 1
4.5%
129.1253256 1
4.5%
129.1278002 1
4.5%
129.1325073 1
4.5%
129.1328055 2
9.1%
129.1343411 1
4.5%
129.1489328 1
4.5%
129.1497514 1
4.5%
129.1512395 1
4.5%
ValueCountFrequency (%)
129.2059995 1
4.5%
129.1848213 1
4.5%
129.1741618 1
4.5%
129.1689248 1
4.5%
129.1613096 1
4.5%
129.1586597 1
4.5%
129.1584936 1
4.5%
129.1565612 1
4.5%
129.1563476 1
4.5%
129.1562305 1
4.5%

데이터 기준일
Date

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
Minimum2024-02-09 00:00:00
Maximum2024-02-09 00:00:00
2024-03-15T10:31:02.560318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:31:02.863651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-15T10:30:49.451685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:30:44.702800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:30:45.697726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:30:47.037111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:30:48.327407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:30:49.688453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:30:44.833493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:30:45.996409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:30:47.271105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:30:48.477318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:30:49.943154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:30:44.992185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:30:46.264762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:30:47.529101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:30:48.678753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:30:50.188386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:30:45.206385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:30:46.513719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:30:47.824479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:30:48.928264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:30:50.435432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:30:45.458719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:30:46.787979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:30:48.085968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:30:49.200000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T10:31:03.089294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설명소재지연락처설립일자정원현원위도경도
연번1.0001.0001.0001.0000.8840.6260.8170.3880.223
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.0001.0001.0001.000
설립일자0.8841.0001.0001.0001.0000.9310.9650.8010.882
정원0.6261.0001.0001.0000.9311.0000.9270.0820.000
현원0.8171.0001.0001.0000.9650.9271.0000.4970.585
위도0.3881.0001.0001.0000.8010.0820.4971.0000.864
경도0.2231.0001.0001.0000.8820.0000.5850.8641.000
2024-03-15T10:31:03.429156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번정원현원위도경도
연번1.0000.4010.3630.133-0.045
정원0.4011.0000.9600.088-0.070
현원0.3630.9601.0000.030-0.096
위도0.1330.0880.0301.000-0.085
경도-0.045-0.070-0.096-0.0851.000

Missing values

2024-03-15T10:30:50.721860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T10:30:51.009122image/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

연번시설명소재지연락처설립일자정원현원위도경도데이터 기준일
011318해피존꿈앤꾼지역아동센터부산광역시 해운대구 신반송로 138-2, 302호 (반송동, 대성빌라)051-542-18132009-12-30252135.23002129.161312024-02-09
12LH행복꿈터해운대지역아동센터부산광역시 해운대구 재반로12번길 16 (재송동)051-724-51052005-08-25191735.179921129.12782024-02-09
23가람뫼지역아동센터부산광역시 해운대구 재반로226번길 72, 상가동 3층 (반여동, 현대일성아파트)051-784-04882023-05-01191935.198241129.1343412024-02-09
34꿈샘지역아동센터부산광역시 해운대구 우동2로 71, 2층(우동)051-741-83012023-04-01191935.169453129.156232024-02-09
45나눔터지역아동센터부산광역시 해운대구 달맞이길 239-11, 상가동 202, 203호 (중동, 달맞이우성빌라트)051-746-91072023-11-01252335.163043129.1848212024-02-09
56뉴라이프지역아동센터부산광역시 해운대구 대천로103번길 9, 상가동 304, 305호 (좌동, 대림2차아파트)051-702-17452023-05-01393935.176396129.1741622024-02-09
67명정지역아동센터부산광역시 해운대구 윗반송로51번길 60-24 , 4층 (반송동)051-542-79532014-10-01191735.230282129.1563482024-02-09
78미래지역아동센터부산광역시 해운대구 해운대로81번길 85, 3층 (재송동)051-782-28502020-08-01191835.191121129.1248622024-02-09
89미리내지역아동센터부산광역시 해운대구 아랫반송로21번길 94-9 (반송동)051-545-29152012-01-09191635.227893129.1489332024-02-09
910반송지역아동센터부산광역시 해운대구 윗반송로51번길 48-13 (반송동)051-545-33352023-04-01292935.230112129.1558992024-02-09
연번시설명소재지연락처설립일자정원현원위도경도데이터 기준일
1213성분도빛둘레지역아동센터부산광역시 해운대구 아랫반송로 61-3, 1~3층 (반송동)051-544-12362005-12-30353535.222448129.151242024-02-09
1314송정지역아동센터부산광역시 해운대구 송정중앙로15번길 135, 2층 (송정동)051-702-45292021-06-25191435.188691129.2059992024-02-09
1415예선지역아동센터부산광역시 해운대구 우동1로 27-1, 3층 (우1동)051-746-91002022-01-01191935.164476129.1565612024-02-09
1516재반지역아동센터부산광역시 해운대구 재송2로74번길 36, 4층 (재송동)051-783-78222021-01-01333335.191093129.1328052024-02-09
1617좌동지역아동센터부산광역시 해운대구 대천로67번길 12, 404호 (좌동)051-746-33892005-06-29292535.173571129.1689252024-02-09
1718즐거운지역아동센터부산광역시 해운대구 재송2로74번길 36, 3층 (재송동)051-782-77762023-01-13191835.191093129.1328052024-02-09
1819파랑새지역아동센터부산광역시 해운대구 신반송로 21, 1층 (반송동)051-927-01152012-07-05242235.228856129.1584942024-02-09
1920하늘가람지역아동센터부산광역시 해운대구 재반로 85, 4층 (재송동)051-783-11182005-11-23393735.186315129.1253262024-02-09
2021해봄지역아동센터부산광역시 해운대구 신반송로 200, 상가나동 2층 (반송동, 주공아파트)051-542-13912005-12-29292835.230309129.158662024-02-09
2122희망스쿨지역아동센터부산광역시 해운대구 아랫반송로29번길 25,29, 3~4층 (반송동)051-542-33322009-02-06393935.224784129.1497512024-02-09