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 memory91.0 B

Variable types

Categorical4
Text3
Numeric3

Dataset

Description부산광역시 노숙인 시설 현황으로 구분, 시설명, 도로명주소, 인원기준, 정원, 현원, 전화번호, 위도, 경도, 데이터기준일자 항목에 대한 정보를 제공합니다.
Author부산광역시
URLhttps://www.data.go.kr/data/15066687/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
인원기준 is highly overall correlated with 현원 and 2 other fieldsHigh correlation
정원 is highly overall correlated with 현원 and 2 other fieldsHigh correlation
현원 is highly overall correlated with 구분 and 2 other fieldsHigh correlation
구분 is highly overall correlated with 현원 and 2 other fieldsHigh correlation
구분 is highly imbalanced (55.8%)Imbalance
시설명 has unique valuesUnique
도로명주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:46:35.280513
Analysis finished2023-12-12 12:46:36.713471
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
자활시설
19 
종합지원센터
2 
무료진료소
 
1

Length

Max length6
Median length4
Mean length4.2272727
Min length4

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
자활시설 19
86.4%
종합지원센터 2
 
9.1%
무료진료소 1
 
4.5%

Length

2023-12-12T21:46:36.818722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:46:37.004808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자활시설 19
86.4%
종합지원센터 2
 
9.1%
무료진료소 1
 
4.5%

시설명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T21:46:37.240140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.7272727
Min length8

Characters and Unicode

Total characters192
Distinct characters47
Distinct categories2 ?
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 row부산광역자활센터
2nd row중구지역자활센터
3rd row서구지역자활센터
4th row동구지역자활센터
5th row영도지역자활센터
ValueCountFrequency (%)
부산광역자활센터 1
 
4.2%
중구지역자활센터 1
 
4.2%
부산희망등대 1
 
4.2%
부산소망종합지원센터 1
 
4.2%
무료진료소 1
 
4.2%
그루터기 1
 
4.2%
기장지역자활센터 1
 
4.2%
사상지역자활센터 1
 
4.2%
수영지역자활센터 1
 
4.2%
연제지역자활센터 1
 
4.2%
Other values (14) 14
58.3%
2023-12-12T21:46:37.710917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 23
12.0%
센 21
 
10.9%
지 20
 
10.4%
역 19
 
9.9%
자 19
 
9.9%
활 19
 
9.9%
구 6
 
3.1%
부 4
 
2.1%
산 4
 
2.1%
망 3
 
1.6%
Other values (37) 54
28.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 190
99.0%
Space Separator 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 23
12.1%
센 21
11.1%
지 20
 
10.5%
역 19
 
10.0%
자 19
 
10.0%
활 19
 
10.0%
구 6
 
3.2%
부 4
 
2.1%
산 4
 
2.1%
망 3
 
1.6%
Other values (36) 52
27.4%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 190
99.0%
Common 2
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 23
12.1%
센 21
11.1%
지 20
 
10.5%
역 19
 
10.0%
자 19
 
10.0%
활 19
 
10.0%
구 6
 
3.2%
부 4
 
2.1%
산 4
 
2.1%
망 3
 
1.6%
Other values (36) 52
27.4%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 190
99.0%
ASCII 2
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 23
12.1%
센 21
11.1%
지 20
 
10.5%
역 19
 
10.0%
자 19
 
10.0%
활 19
 
10.0%
구 6
 
3.2%
부 4
 
2.1%
산 4
 
2.1%
망 3
 
1.6%
Other values (36) 52
27.4%
ASCII
ValueCountFrequency (%)
2
100.0%

도로명주소
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T21:46:38.035814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length32.5
Mean length29.545455
Min length20

Characters and Unicode

Total characters650
Distinct characters100
Distinct categories8 ?
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 row부산광역시 연제구 거제천로 89 (이안빌딩 4층)
2nd row부산광역시 중구 대청로 116번길8 (대청동1가)
3rd row부산광역시 서구 대영로 45번길 102 (3층)
4th row부산광역시 동구 중앙대로 284 (초량동, 3층)
5th row부산광역시 영도구 함지로 79번길 40, 202호 (동삼동,부산도시공사동삼2지구 상가)
ValueCountFrequency (%)
부산광역시 22
 
16.5%
3층 5
 
3.8%
2층 4
 
3.0%
4층 3
 
2.3%
부산진구 3
 
2.3%
전포동 3
 
2.3%
동천로 2
 
1.5%
14 2
 
1.5%
사하구 2
 
1.5%
수영로 2
 
1.5%
Other values (78) 85
63.9%
2023-12-12T21:46:38.457726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
 
17.5%
산 28
 
4.3%
부 26
 
4.0%
시 23
 
3.5%
구 23
 
3.5%
광 22
 
3.4%
역 22
 
3.4%
( 21
 
3.2%
로 21
 
3.2%
) 21
 
3.2%
Other values (90) 329
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 379
58.3%
Space Separator 114
 
17.5%
Decimal Number 104
 
16.0%
Open Punctuation 21
 
3.2%
Close Punctuation 21
 
3.2%
Other Punctuation 8
 
1.2%
Uppercase Letter 2
 
0.3%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 28
 
7.4%
부 26
 
6.9%
시 23
 
6.1%
구 23
 
6.1%
광 22
 
5.8%
역 22
 
5.8%
로 21
 
5.5%
동 19
 
5.0%
층 14
 
3.7%
길 12
 
3.2%
Other values (73) 169
44.6%
Decimal Number
ValueCountFrequency (%)
2 18
17.3%
1 17
16.3%
0 12
11.5%
4 12
11.5%
3 10
9.6%
5 10
9.6%
8 10
9.6%
7 6
 
5.8%
9 5
 
4.8%
6 4
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
114
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 379
58.3%
Common 269
41.4%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 28
 
7.4%
부 26
 
6.9%
시 23
 
6.1%
구 23
 
6.1%
광 22
 
5.8%
역 22
 
5.8%
로 21
 
5.5%
동 19
 
5.0%
층 14
 
3.7%
길 12
 
3.2%
Other values (73) 169
44.6%
Common
ValueCountFrequency (%)
114
42.4%
( 21
 
7.8%
) 21
 
7.8%
2 18
 
6.7%
1 17
 
6.3%
0 12
 
4.5%
4 12
 
4.5%
3 10
 
3.7%
5 10
 
3.7%
8 10
 
3.7%
Other values (5) 24
 
8.9%
Latin
ValueCountFrequency (%)
K 1
50.0%
T 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 379
58.3%
ASCII 271
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
42.1%
( 21
 
7.7%
) 21
 
7.7%
2 18
 
6.6%
1 17
 
6.3%
0 12
 
4.4%
4 12
 
4.4%
3 10
 
3.7%
5 10
 
3.7%
8 10
 
3.7%
Other values (7) 26
 
9.6%
Hangul
ValueCountFrequency (%)
산 28
 
7.4%
부 26
 
6.9%
시 23
 
6.1%
구 23
 
6.1%
광 22
 
5.8%
역 22
 
5.8%
로 21
 
5.5%
동 19
 
5.0%
층 14
 
3.7%
길 12
 
3.2%
Other values (73) 169
44.6%

인원기준
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Memory size308.0 B
6
12 
7
6 
8
2 
5
 
1
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)9.1%

Sample

1st row8
2nd row5
3rd row6
4th row7
5th row7

Common Values

ValueCountFrequency (%)
6 12
54.5%
7 6
27.3%
8 2
 
9.1%
5 1
 
4.5%
1 1
 
4.5%

Length

2023-12-12T21:46:38.657258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:46:38.772270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6 12
54.5%
7 6
27.3%
8 2
 
9.1%
5 1
 
4.5%
1 1
 
4.5%

정원
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Memory size308.0 B
6
12 
7
6 
8
2 
5
 
1
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)9.1%

Sample

1st row8
2nd row5
3rd row6
4th row7
5th row7

Common Values

ValueCountFrequency (%)
6 12
54.5%
7 6
27.3%
8 2
 
9.1%
5 1
 
4.5%
1 1
 
4.5%

Length

2023-12-12T21:46:38.895314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:46:39.012377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6 12
54.5%
7 6
27.3%
8 2
 
9.1%
5 1
 
4.5%
1 1
 
4.5%

현원
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.7727273
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T21:46:39.124036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.05
Q15.25
median6
Q36
95-th percentile7.95
Maximum8
Range7
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation1.4119159
Coefficient of variation (CV)0.24458386
Kurtosis5.8359718
Mean5.7727273
Median Absolute Deviation (MAD)0
Skewness-1.6785933
Sum127
Variance1.9935065
MonotonicityNot monotonic
2023-12-12T21:46:39.230771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 12
54.5%
5 4
 
18.2%
8 2
 
9.1%
7 2
 
9.1%
4 1
 
4.5%
1 1
 
4.5%
ValueCountFrequency (%)
1 1
 
4.5%
4 1
 
4.5%
5 4
 
18.2%
6 12
54.5%
7 2
 
9.1%
8 2
 
9.1%
ValueCountFrequency (%)
8 2
 
9.1%
7 2
 
9.1%
6 12
54.5%
5 4
 
18.2%
4 1
 
4.5%
1 1
 
4.5%

전화번호
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T21:46:39.421050image/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 row051-464-3137
2nd row051-463-4584
3rd row051-253-1957
4th row051-462-1466
5th row051-403-4595
ValueCountFrequency (%)
051-464-3137 1
 
4.5%
051-463-4584 1
 
4.5%
051-463-7707 1
 
4.5%
051-441-5662 1
 
4.5%
051-724-3457 1
 
4.5%
051-301-8681 1
 
4.5%
051-757-4034 1
 
4.5%
051-852-8219 1
 
4.5%
051-973-6998 1
 
4.5%
051-508-2163 1
 
4.5%
Other values (12) 12
54.5%
2023-12-12T21:46:39.712176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 44
16.7%
5 38
14.4%
1 38
14.4%
0 33
12.5%
4 21
8.0%
6 20
7.6%
3 20
7.6%
7 14
 
5.3%
2 14
 
5.3%
8 11
 
4.2%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 38
17.3%
1 38
17.3%
0 33
15.0%
4 21
9.5%
6 20
9.1%
3 20
9.1%
7 14
 
6.4%
2 14
 
6.4%
8 11
 
5.0%
9 11
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 264
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 44
16.7%
5 38
14.4%
1 38
14.4%
0 33
12.5%
4 21
8.0%
6 20
7.6%
3 20
7.6%
7 14
 
5.3%
2 14
 
5.3%
8 11
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 264
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 44
16.7%
5 38
14.4%
1 38
14.4%
0 33
12.5%
4 21
8.0%
6 20
7.6%
3 20
7.6%
7 14
 
5.3%
2 14
 
5.3%
8 11
 
4.2%

위도
Real number (ℝ)

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.161721
Minimum35.057268
Maximum35.267261
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T21:46:39.842183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.057268
5-th percentile35.061353
Q135.120862
median35.162275
Q335.205666
95-th percentile35.24737
Maximum35.267261
Range0.20999317
Interquartile range (IQR)0.0848047

Descriptive statistics

Standard deviation0.059841083
Coefficient of variation (CV)0.0017018815
Kurtosis-0.70131513
Mean35.161721
Median Absolute Deviation (MAD)0.04505061
Skewness-0.081918704
Sum773.55786
Variance0.0035809553
MonotonicityNot monotonic
2023-12-12T21:46:39.972381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
35.15814843 2
 
9.1%
35.18227256 1
 
4.5%
35.10219528 1
 
4.5%
35.12055395 1
 
4.5%
35.24324213 1
 
4.5%
35.18478117 1
 
4.5%
35.16640224 1
 
4.5%
35.17811368 1
 
4.5%
35.17870519 1
 
4.5%
35.26726119 1
 
4.5%
Other values (11) 11
50.0%
ValueCountFrequency (%)
35.05726802 1
4.5%
35.06063624 1
4.5%
35.0749621 1
4.5%
35.10219528 1
4.5%
35.1138955 1
4.5%
35.12055395 1
4.5%
35.12178476 1
4.5%
35.13488814 1
4.5%
35.15133207 1
4.5%
35.15814843 2
9.1%
ValueCountFrequency (%)
35.26726119 1
4.5%
35.24758766 1
4.5%
35.24324213 1
4.5%
35.22973636 1
4.5%
35.21331904 1
4.5%
35.21262808 1
4.5%
35.18478117 1
4.5%
35.18227256 1
4.5%
35.17870519 1
4.5%
35.17811368 1
4.5%

경도
Real number (ℝ)

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.05671
Minimum128.95679
Maximum129.21496
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T21:46:40.092776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.95679
5-th percentile128.97157
Q1129.01707
median129.06318
Q3129.08689
95-th percentile129.15482
Maximum129.21496
Range0.2581692
Interquartile range (IQR)0.069826425

Descriptive statistics

Standard deviation0.060921912
Coefficient of variation (CV)0.00047205535
Kurtosis1.0042748
Mean129.05671
Median Absolute Deviation (MAD)0.030837
Skewness0.63835545
Sum2839.2477
Variance0.0037114793
MonotonicityNot monotonic
2023-12-12T21:46:40.200994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
129.063181 2
 
9.1%
129.0730583 1
 
4.5%
129.0323338 1
 
4.5%
129.0431855 1
 
4.5%
129.2149601 1
 
4.5%
128.9936108 1
 
4.5%
129.1233544 1
 
4.5%
129.0895812 1
 
4.5%
128.9567909 1
 
4.5%
129.0924676 1
 
4.5%
Other values (11) 11
50.0%
ValueCountFrequency (%)
128.9567909 1
4.5%
128.9714409 1
4.5%
128.9740682 1
4.5%
128.9936108 1
4.5%
129.0123649 1
4.5%
129.0142056 1
4.5%
129.0256482 1
4.5%
129.0323338 1
4.5%
129.0431855 1
4.5%
129.043662 1
4.5%
ValueCountFrequency (%)
129.2149601 1
4.5%
129.1564811 1
4.5%
129.1233544 1
4.5%
129.0940078 1
4.5%
129.0924676 1
4.5%
129.0895812 1
4.5%
129.0788271 1
4.5%
129.0730583 1
4.5%
129.0664615 1
4.5%
129.0648077 1
4.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-10-30
22 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row 2023-10-30
2nd row 2023-10-30
3rd row 2023-10-30
4th row 2023-10-30
5th row 2023-10-30

Common Values

ValueCountFrequency (%)
2023-10-30 22
100.0%

Length

2023-12-12T21:46:40.314502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:46:40.434877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-30 22
100.0%

Interactions

2023-12-12T21:46:36.160128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:46:35.628926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:46:35.913463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:46:36.258183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:46:35.734726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:46:36.005230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:46:36.374742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:46:35.818876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:46:36.080942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:46:40.507854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분시설명도로명주소인원기준정원현원전화번호위도경도
구분1.0001.0001.0000.7430.7430.9741.0000.0000.000
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
인원기준0.7431.0001.0001.0001.0000.8241.0000.0000.000
정원0.7431.0001.0001.0001.0000.8241.0000.0000.000
현원0.9741.0001.0000.8240.8241.0001.0000.0000.195
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
위도0.0001.0001.0000.0000.0000.0001.0001.0000.915
경도0.0001.0001.0000.0000.0000.1951.0000.9151.000
2023-12-12T21:46:40.628367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인원기준정원구분
인원기준1.0001.0000.698
정원1.0001.0000.698
구분0.6980.6981.000
2023-12-12T21:46:41.030249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
현원위도경도구분인원기준정원
현원1.000-0.0520.2070.7330.6960.696
위도-0.0521.0000.4000.0000.0000.000
경도0.2070.4001.0000.0000.0000.000
구분0.7330.0000.0001.0000.6980.698
인원기준0.6960.0000.0000.6981.0001.000
정원0.6960.0000.0000.6981.0001.000

Missing values

2023-12-12T21:46:36.489323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:46:36.644485image/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

구분시설명도로명주소인원기준정원현원전화번호위도경도데이터기준일자
0자활시설부산광역자활센터부산광역시 연제구 거제천로 89 (이안빌딩 4층)888051-464-313735.182273129.0730582023-10-30
1자활시설중구지역자활센터부산광역시 중구 대청로 116번길8 (대청동1가)555051-463-458435.102195129.0323342023-10-30
2자활시설서구지역자활센터부산광역시 서구 대영로 45번길 102 (3층)666051-253-195735.113895129.0142062023-10-30
3자활시설동구지역자활센터부산광역시 동구 중앙대로 284 (초량동, 3층)776051-462-146635.121785129.0436622023-10-30
4자활시설영도지역자활센터부산광역시 영도구 함지로 79번길 40, 202호 (동삼동,부산도시공사동삼2지구 상가)776051-403-459535.074962129.0648082023-10-30
5자활시설부산진지역자활센터부산광역시 부산진구 서전로58번길 143 (전포동)665051-816-963335.151332129.0664622023-10-30
6자활시설동래지역자활센터부산광역시 동래구 온천장로11 (관성빌딩 4층)666051-529-893235.213319129.0788272023-10-30
7자활시설남구지역자활센터부산광역시 남구 수영로 250번길 6 (3층)666051-638-721235.134888129.0940082023-10-30
8자활시설북구지역자활센터부산광역시 북구 만덕3로 13 (만덕동, 북구보훈회관 2층)666051-341-984135.212628129.0256482023-10-30
9자활시설북구희망터지역자활센터부산광역시 북구 학사로 297 (금곡동, 성원빌딩 2층)665051-365-004535.247588129.0123652023-10-30
구분시설명도로명주소인원기준정원현원전화번호위도경도데이터기준일자
12자활시설사하두송지역자활센터부산광역시 사하구 다대로 502 (다대동, 경동빌딩 5층)666051-261-075035.060636128.9740682023-10-30
13자활시설금정지역자활센터부산광역시 금정구 중앙대로 2049 제일빌딩 (5층)776051-508-216335.267261129.0924682023-10-30
14자활시설강서지역자활센터부산광역시 강서구 공항로 811번가길 30 (2층)664051-973-699835.178705128.9567912023-10-30
15자활시설연제지역자활센터부산광역시 연제구 쌍미천로 58, 205호 (연산동, 연산훼미리타운)666051-852-821935.178114129.0895812023-10-30
16자활시설수영지역자활센터부산광역시 수영구 수영로 775 (영화빌딩 3층)666051-757-403435.166402129.1233542023-10-30
17자활시설사상지역자활센터부산광역시 사상구 모라로 110번길 47 (대양빌딩 4층)776051-301-868135.184781128.9936112023-10-30
18자활시설기장지역자활센터부산광역시 기장군 기장읍 차성로288번길 27 (2층)665051-724-345735.243242129.214962023-10-30
19무료진료소그루터기 무료진료소부산광역시 부산진구 동천로 108번길 14 (전포동)111051-441-566235.158148129.0631812023-10-30
20종합지원센터부산소망종합지원센터부산광역시 동구 중앙대로260번길 3-9 (초량동)777051-463-770735.120554129.0431852023-10-30
21종합지원센터부산희망등대 종합지원센터부산광역시 부산진구 동천로 108번길 14 (전포동)888051-463-112735.158148129.0631812023-10-30