Overview

Dataset statistics

Number of variables8
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory75.3 B

Variable types

Numeric5
Text3

Dataset

Description부산광역시 부산진구내 등록된 지역아동센터현황정보 입니다시설명, 주소, 위도, 경도, 전화번호, 정원, 현원 정보를 제공하고 있습니다.
Author부산광역시 부산진구
URLhttps://www.data.go.kr/data/15025672/fileData.do

Alerts

정원(명) is highly overall correlated with 현원(명)High correlation
현원(명) is highly overall correlated with 정원(명)High correlation
연번 has unique valuesUnique
센터명 has unique valuesUnique
소재지 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:22:22.425051
Analysis finished2023-12-12 23:22:25.438364
Duration3.01 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-13T08:22:25.528514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median11
Q316
95-th percentile20
Maximum21
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.2048368
Coefficient of variation (CV)0.56407607
Kurtosis-1.2
Mean11
Median Absolute Deviation (MAD)5
Skewness0
Sum231
Variance38.5
MonotonicityStrictly increasing
2023-12-13T08:22:25.713837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 1
 
4.8%
2 1
 
4.8%
21 1
 
4.8%
20 1
 
4.8%
19 1
 
4.8%
18 1
 
4.8%
17 1
 
4.8%
16 1
 
4.8%
15 1
 
4.8%
14 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
1 1
4.8%
2 1
4.8%
3 1
4.8%
4 1
4.8%
5 1
4.8%
6 1
4.8%
7 1
4.8%
8 1
4.8%
9 1
4.8%
10 1
4.8%
ValueCountFrequency (%)
21 1
4.8%
20 1
4.8%
19 1
4.8%
18 1
4.8%
17 1
4.8%
16 1
4.8%
15 1
4.8%
14 1
4.8%
13 1
4.8%
12 1
4.8%

센터명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-13T08:22:25.938274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length8.8095238
Min length7

Characters and Unicode

Total characters185
Distinct characters54
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row가야지역아동센터
2nd row개금꿈나무지역아동센터
3rd row꿈꾸는지역아동센터
4th row남부산지역아동센터
5th row당평비전지역아동센터
ValueCountFrequency (%)
가야지역아동센터 1
 
4.8%
예은지역아동센터 1
 
4.8%
해피지역아동센터 1
 
4.8%
한울타리지역아동센터 1
 
4.8%
풀잎지역아동센터 1
 
4.8%
푸른솔지역아동센터 1
 
4.8%
평강지역아동센터 1
 
4.8%
축복지역아동센터 1
 
4.8%
전포지역아동센터 1
 
4.8%
은하수지역아동센터 1
 
4.8%
Other values (11) 11
52.4%
2023-12-13T08:22:26.261706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 22
11.9%
역 21
11.4%
아 21
11.4%
동 21
11.4%
센 21
11.4%
터 21
11.4%
부 3
 
1.6%
산 2
 
1.1%
복 2
 
1.1%
전 2
 
1.1%
Other values (44) 49
26.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 185
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 22
11.9%
역 21
11.4%
아 21
11.4%
동 21
11.4%
센 21
11.4%
터 21
11.4%
부 3
 
1.6%
산 2
 
1.1%
복 2
 
1.1%
전 2
 
1.1%
Other values (44) 49
26.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 185
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 22
11.9%
역 21
11.4%
아 21
11.4%
동 21
11.4%
센 21
11.4%
터 21
11.4%
부 3
 
1.6%
산 2
 
1.1%
복 2
 
1.1%
전 2
 
1.1%
Other values (44) 49
26.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 185
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 22
11.9%
역 21
11.4%
아 21
11.4%
동 21
11.4%
센 21
11.4%
터 21
11.4%
부 3
 
1.6%
산 2
 
1.1%
복 2
 
1.1%
전 2
 
1.1%
Other values (44) 49
26.5%

소재지
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-13T08:22:26.444991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length25
Mean length24
Min length18

Characters and Unicode

Total characters504
Distinct characters66
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

Unique21 ?
Unique (%)100.0%

Sample

1st row부산진구 가야공원로38번길 74-9 (가야동)
2nd row부산진구 백양관문로77번길 140 (개금동)
3rd row부산진구 신암로 51-5 (범천동)
4th row부산진구 진남로 300 (전포동)
5th row부산진구 백양대로136번길 37-9 (당감동)
ValueCountFrequency (%)
부산진구 21
23.3%
개금동 4
 
4.4%
당감동 4
 
4.4%
전포동 3
 
3.3%
부암동 3
 
3.3%
가야동 3
 
3.3%
백양관문로77번길 2
 
2.2%
진남로 2
 
2.2%
가야공원로38번길 2
 
2.2%
140 1
 
1.1%
Other values (45) 45
50.0%
2023-12-13T08:22:26.800136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
69
 
13.7%
부 24
 
4.8%
진 24
 
4.8%
동 24
 
4.8%
로 21
 
4.2%
( 21
 
4.2%
) 21
 
4.2%
구 21
 
4.2%
산 21
 
4.2%
1 17
 
3.4%
Other values (56) 241
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 277
55.0%
Decimal Number 102
 
20.2%
Space Separator 69
 
13.7%
Open Punctuation 21
 
4.2%
Close Punctuation 21
 
4.2%
Dash Punctuation 10
 
2.0%
Other Punctuation 4
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 24
 
8.7%
진 24
 
8.7%
동 24
 
8.7%
로 21
 
7.6%
구 21
 
7.6%
산 21
 
7.6%
번 15
 
5.4%
길 15
 
5.4%
야 7
 
2.5%
가 7
 
2.5%
Other values (41) 98
35.4%
Decimal Number
ValueCountFrequency (%)
1 17
16.7%
2 13
12.7%
7 13
12.7%
9 11
10.8%
3 11
10.8%
0 10
9.8%
8 10
9.8%
4 7
6.9%
6 5
 
4.9%
5 5
 
4.9%
Space Separator
ValueCountFrequency (%)
69
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 277
55.0%
Common 227
45.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 24
 
8.7%
진 24
 
8.7%
동 24
 
8.7%
로 21
 
7.6%
구 21
 
7.6%
산 21
 
7.6%
번 15
 
5.4%
길 15
 
5.4%
야 7
 
2.5%
가 7
 
2.5%
Other values (41) 98
35.4%
Common
ValueCountFrequency (%)
69
30.4%
( 21
 
9.3%
) 21
 
9.3%
1 17
 
7.5%
2 13
 
5.7%
7 13
 
5.7%
9 11
 
4.8%
3 11
 
4.8%
0 10
 
4.4%
- 10
 
4.4%
Other values (5) 31
13.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 277
55.0%
ASCII 227
45.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
69
30.4%
( 21
 
9.3%
) 21
 
9.3%
1 17
 
7.5%
2 13
 
5.7%
7 13
 
5.7%
9 11
 
4.8%
3 11
 
4.8%
0 10
 
4.4%
- 10
 
4.4%
Other values (5) 31
13.7%
Hangul
ValueCountFrequency (%)
부 24
 
8.7%
진 24
 
8.7%
동 24
 
8.7%
로 21
 
7.6%
구 21
 
7.6%
산 21
 
7.6%
번 15
 
5.4%
길 15
 
5.4%
야 7
 
2.5%
가 7
 
2.5%
Other values (41) 98
35.4%

위도
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.159249
Minimum35.142609
Maximum35.176546
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-13T08:22:26.918208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.142609
5-th percentile35.145666
Q135.150406
median35.159981
Q335.166876
95-th percentile35.174766
Maximum35.176546
Range0.03393687
Interquartile range (IQR)0.01647017

Descriptive statistics

Standard deviation0.0097320775
Coefficient of variation (CV)0.00027679993
Kurtosis-0.94465825
Mean35.159249
Median Absolute Deviation (MAD)0.0076451
Skewness-0.014384219
Sum738.34422
Variance9.4713333 × 10-5
MonotonicityNot monotonic
2023-12-13T08:22:27.037930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
35.1504058 1
 
4.8%
35.16412973 1
 
4.8%
35.15371904 1
 
4.8%
35.16697479 1
 
4.8%
35.15998102 1
 
4.8%
35.14889332 1
 
4.8%
35.145666 1
 
4.8%
35.17654605 1
 
4.8%
35.16869969 1
 
4.8%
35.1599128 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
35.14260918 1
4.8%
35.145666 1
4.8%
35.14634606 1
4.8%
35.14889332 1
4.8%
35.15030164 1
4.8%
35.1504058 1
4.8%
35.15233592 1
4.8%
35.15371904 1
4.8%
35.15782766 1
4.8%
35.1599128 1
4.8%
ValueCountFrequency (%)
35.17654605 1
4.8%
35.17476559 1
4.8%
35.16950939 1
4.8%
35.16869969 1
4.8%
35.16697479 1
4.8%
35.16687597 1
4.8%
35.16430652 1
4.8%
35.16412973 1
4.8%
35.1625452 1
4.8%
35.16186946 1
4.8%

경도
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.04386
Minimum129.01783
Maximum129.07438
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-13T08:22:27.142422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.01783
5-th percentile129.02016
Q1129.02932
median129.04019
Q3129.05546
95-th percentile129.07322
Maximum129.07438
Range0.0565512
Interquartile range (IQR)0.0261402

Descriptive statistics

Standard deviation0.018354361
Coefficient of variation (CV)0.0001422335
Kurtosis-1.1531535
Mean129.04386
Median Absolute Deviation (MAD)0.0146421
Skewness0.38854968
Sum2709.9212
Variance0.00033688255
MonotonicityNot monotonic
2023-12-13T08:22:27.262261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
129.0255461 1
 
4.8%
129.0249942 1
 
4.8%
129.0666573 1
 
4.8%
129.0495637 1
 
4.8%
129.0649172 1
 
4.8%
129.0306303 1
 
4.8%
129.017826 1
 
4.8%
129.0743772 1
 
4.8%
129.0366436 1
 
4.8%
129.0720519 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
129.017826 1
4.8%
129.0201588 1
4.8%
129.0249942 1
4.8%
129.0255461 1
4.8%
129.0258304 1
4.8%
129.0293202 1
4.8%
129.0306303 1
4.8%
129.033209 1
4.8%
129.0366436 1
4.8%
129.0369827 1
4.8%
ValueCountFrequency (%)
129.0743772 1
4.8%
129.0732243 1
4.8%
129.0720519 1
4.8%
129.0666573 1
4.8%
129.0649172 1
4.8%
129.0554604 1
4.8%
129.0553014 1
4.8%
129.0495637 1
4.8%
129.0472509 1
4.8%
129.041023 1
4.8%

전화번호
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-13T08:22:27.492169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.095238
Min length12

Characters and Unicode

Total characters254
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

Unique21 ?
Unique (%)100.0%

Sample

1st row051-898-0754
2nd row070-5151-6912
3rd row051-644-0091
4th row051-806-2205
5th row051-892-9125
ValueCountFrequency (%)
051-898-0754 1
 
4.8%
051-894-9991 1
 
4.8%
051-809-8895 1
 
4.8%
051-805-6036 1
 
4.8%
051-892-5428 1
 
4.8%
051-892-7833 1
 
4.8%
051-861-3927 1
 
4.8%
051-818-4252 1
 
4.8%
051-816-9055 1
 
4.8%
070-7546-4926 1
 
4.8%
Other values (11) 11
52.4%
2023-12-13T08:22:27.889343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 42
16.5%
0 39
15.4%
5 34
13.4%
1 31
12.2%
8 27
10.6%
9 22
8.7%
2 15
 
5.9%
6 13
 
5.1%
7 11
 
4.3%
4 11
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 212
83.5%
Dash Punctuation 42
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 39
18.4%
5 34
16.0%
1 31
14.6%
8 27
12.7%
9 22
10.4%
2 15
 
7.1%
6 13
 
6.1%
7 11
 
5.2%
4 11
 
5.2%
3 9
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 254
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 42
16.5%
0 39
15.4%
5 34
13.4%
1 31
12.2%
8 27
10.6%
9 22
8.7%
2 15
 
5.9%
6 13
 
5.1%
7 11
 
4.3%
4 11
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 254
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 42
16.5%
0 39
15.4%
5 34
13.4%
1 31
12.2%
8 27
10.6%
9 22
8.7%
2 15
 
5.9%
6 13
 
5.1%
7 11
 
4.3%
4 11
 
4.3%

정원(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.428571
Minimum19
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-13T08:22:28.040381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile19
Q119
median23
Q329
95-th percentile35
Maximum36
Range17
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.1283883
Coefficient of variation (CV)0.2508697
Kurtosis-0.94665408
Mean24.428571
Median Absolute Deviation (MAD)4
Skewness0.65730294
Sum513
Variance37.557143
MonotonicityNot monotonic
2023-12-13T08:22:28.164306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
19 10
47.6%
29 4
 
19.0%
25 2
 
9.5%
35 2
 
9.5%
28 1
 
4.8%
36 1
 
4.8%
23 1
 
4.8%
ValueCountFrequency (%)
19 10
47.6%
23 1
 
4.8%
25 2
 
9.5%
28 1
 
4.8%
29 4
 
19.0%
35 2
 
9.5%
36 1
 
4.8%
ValueCountFrequency (%)
36 1
 
4.8%
35 2
 
9.5%
29 4
 
19.0%
28 1
 
4.8%
25 2
 
9.5%
23 1
 
4.8%
19 10
47.6%

현원(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.380952
Minimum14
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-13T08:22:28.287198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile15
Q118
median20
Q326
95-th percentile34
Maximum36
Range22
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.2086729
Coefficient of variation (CV)0.27740879
Kurtosis-0.24494956
Mean22.380952
Median Absolute Deviation (MAD)4
Skewness0.76378674
Sum470
Variance38.547619
MonotonicityNot monotonic
2023-12-13T08:22:28.383440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
19 3
14.3%
18 3
14.3%
25 2
 
9.5%
28 1
 
4.8%
17 1
 
4.8%
21 1
 
4.8%
20 1
 
4.8%
31 1
 
4.8%
34 1
 
4.8%
16 1
 
4.8%
Other values (6) 6
28.6%
ValueCountFrequency (%)
14 1
 
4.8%
15 1
 
4.8%
16 1
 
4.8%
17 1
 
4.8%
18 3
14.3%
19 3
14.3%
20 1
 
4.8%
21 1
 
4.8%
24 1
 
4.8%
25 2
9.5%
ValueCountFrequency (%)
36 1
4.8%
34 1
4.8%
31 1
4.8%
28 1
4.8%
27 1
4.8%
26 1
4.8%
25 2
9.5%
24 1
4.8%
21 1
4.8%
20 1
4.8%

Interactions

2023-12-13T08:22:24.495613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:22:22.707192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:22:23.127829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:22:23.639604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:22:24.063704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:22:24.577075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:22:22.793255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:22:23.248284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:22:23.731092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:22:24.150214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:22:24.974031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:22:22.876083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:22:23.357365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:22:23.815097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:22:24.240169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:22:25.040612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:22:22.950175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:22:23.448813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:22:23.894502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:22:24.335159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:22:25.116831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:22:23.043968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:22:23.547989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:22:23.980357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:22:24.421608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:22:28.471153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번센터명소재지위도경도전화번호정원(명)현원(명)
연번1.0001.0001.0000.0000.6081.0000.0000.000
센터명1.0001.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.0001.0001.000
위도0.0001.0001.0001.0000.6871.0000.6280.796
경도0.6081.0001.0000.6871.0001.0000.2630.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.000
정원(명)0.0001.0001.0000.6280.2631.0001.0000.832
현원(명)0.0001.0001.0000.7960.0001.0000.8321.000
2023-12-13T08:22:28.604202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도정원(명)현원(명)
연번1.0000.0100.238-0.206-0.268
위도0.0101.0000.370-0.360-0.346
경도0.2380.3701.0000.0750.012
정원(명)-0.206-0.3600.0751.0000.921
현원(명)-0.268-0.3460.0120.9211.000

Missing values

2023-12-13T08:22:25.227085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:22:25.391399image/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

연번센터명소재지위도경도전화번호정원(명)현원(명)
01가야지역아동센터부산진구 가야공원로38번길 74-9 (가야동)35.150406129.025546051-898-07542828
12개금꿈나무지역아동센터부산진구 백양관문로77번길 140 (개금동)35.16413129.024994070-5151-69122925
23꿈꾸는지역아동센터부산진구 신암로 51-5 (범천동)35.146346129.055301051-644-00913636
34남부산지역아동센터부산진구 진남로 300 (전포동)35.152336129.073224051-806-22052927
45당평비전지역아동센터부산진구 백양대로136번길 37-9 (당감동)35.161869129.033209051-892-91252924
56부산진지역아동센터부산진구 당감서로 72 (당감동)35.166876129.036983051-893-01601919
67사랑빛지역아동센터부산진구 백양관문로77번길 99 (개금동)35.162545129.02583051-893-26902525
78성지지역아동센터부산진구 동평로94번길 28 (당감동)35.164307129.040188051-898-50001914
89수지역아동센터부산진구 성지로46번길 20-1 (연지동)35.174766129.05546051-803-49641919
910신애지역아동센터부산진구 백양순환로 127번길 8 (부암동)35.169509129.041023051-817-85471918
연번센터명소재지위도경도전화번호정원(명)현원(명)
1112예은지역아동센터부산진구 가야공원로38번길 14-8 (가야동)35.150302129.02932051-894-99911919
1213은하수지역아동센터부산진구 복지로 117-12 (개금동)35.142609129.020159070-7546-49261918
1314전포지역아동센터부산진구 진남로 356번길 90, 102동 205호(전포동, 화신아파트)35.159913129.072052051-816-90551915
1415축복지역아동센터부산진구 당감서로98번길 20-22 (부암동)35.1687129.036644051-818-42521918
1516평강지역아동센터부산진구 중앙대로 978 (양정동)35.176546129.074377051-861-39271917
1617푸른솔지역아동센터부산진구 진사로61번길28-8 (개금동)35.145666129.017826051-892-78331916
1718풀잎지역아동센터부산진구 가야공원로63번길 33-5 (가야동)35.148893129.03063051-892-54283534
1819한울타리지역아동센터부산진구 서전로47번길 48 (전포동)35.159981129.064917051-805-60363531
1920해피지역아동센터부산진구 신천대로 279, 나동 111호 (부암동, 럭키무지개타운)35.166975129.049564051-809-88952320
2021행복한공부방지역아동센터부산진구 전포대로190번길 19-1 (전포동)35.153719129.066657051-818-77252521