Overview

Dataset statistics

Number of variables9
Number of observations228
Missing cells3
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.8 KiB
Average record size in memory75.6 B

Variable types

Numeric3
Text4
Categorical1
DateTime1

Dataset

Description부산광역시가 허가한 사회복지법인의 현황입니다. - 관리부서 : 부산광역시 사회복지관련 7개 부서(복지정책과, 장애인복지과, 노인복지과, 건강정책과, 여성가족과, 출산보육과, 아동청소년과) - 주요내용 : 법인명, 대표이사명, 법인주소, 연락처 등
URLhttps://www.data.go.kr/data/15042506/fileData.do

Alerts

위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
연락처 has 3 (1.3%) missing valuesMissing
소재지 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:17:27.655497
Analysis finished2023-12-12 13:17:29.327966
Duration1.67 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

Distinct227
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.49561
Minimum1
Maximum228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-12T22:17:29.396991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.35
Q157.75
median114.5
Q3171.25
95-th percentile216.65
Maximum228
Range227
Interquartile range (IQR)113.5

Descriptive statistics

Standard deviation65.966919
Coefficient of variation (CV)0.57615236
Kurtosis-1.2001798
Mean114.49561
Median Absolute Deviation (MAD)57
Skewness-3.9549934 × 10-5
Sum26105
Variance4351.6343
MonotonicityIncreasing
2023-12-12T22:17:29.551254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42 2
 
0.9%
1 1
 
0.4%
146 1
 
0.4%
148 1
 
0.4%
149 1
 
0.4%
150 1
 
0.4%
151 1
 
0.4%
152 1
 
0.4%
153 1
 
0.4%
154 1
 
0.4%
Other values (217) 217
95.2%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
228 1
0.4%
227 1
0.4%
226 1
0.4%
225 1
0.4%
224 1
0.4%
223 1
0.4%
222 1
0.4%
221 1
0.4%
220 1
0.4%
219 1
0.4%

법인명
Text

Distinct225
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T22:17:29.810966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length4.5526316
Min length2

Characters and Unicode

Total characters1038
Distinct characters206
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique222 ?
Unique (%)97.4%

Sample

1st row남광사회복지회
2nd row성애원
3rd row안음전복지재단
4th row부산유스센타
5th row장선종합복지공동체
ValueCountFrequency (%)
평화원 2
 
0.9%
큰빛 2
 
0.9%
전원 2
 
0.9%
문수복지재단 1
 
0.4%
선재재단 1
 
0.4%
참조은복지재단 1
 
0.4%
남광사회복지회 1
 
0.4%
예닮복지재단 1
 
0.4%
태양의집 1
 
0.4%
세림원 1
 
0.4%
Other values (215) 215
94.3%
2023-12-12T22:17:30.240638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 73
 
7.0%
복 70
 
6.7%
재 67
 
6.5%
단 65
 
6.3%
원 59
 
5.7%
회 28
 
2.7%
사 25
 
2.4%
성 24
 
2.3%
이 19
 
1.8%
동 19
 
1.8%
Other values (196) 589
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1036
99.8%
Decimal Number 1
 
0.1%
Space Separator 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 73
 
7.0%
복 70
 
6.8%
재 67
 
6.5%
단 65
 
6.3%
원 59
 
5.7%
회 28
 
2.7%
사 25
 
2.4%
성 24
 
2.3%
이 19
 
1.8%
동 19
 
1.8%
Other values (194) 587
56.7%
Decimal Number
ValueCountFrequency (%)
4 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1036
99.8%
Common 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 73
 
7.0%
복 70
 
6.8%
재 67
 
6.5%
단 65
 
6.3%
원 59
 
5.7%
회 28
 
2.7%
사 25
 
2.4%
성 24
 
2.3%
이 19
 
1.8%
동 19
 
1.8%
Other values (194) 587
56.7%
Common
ValueCountFrequency (%)
4 1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1036
99.8%
ASCII 2
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 73
 
7.0%
복 70
 
6.8%
재 67
 
6.5%
단 65
 
6.3%
원 59
 
5.7%
회 28
 
2.7%
사 25
 
2.4%
성 24
 
2.3%
이 19
 
1.8%
동 19
 
1.8%
Other values (194) 587
56.7%
ASCII
ValueCountFrequency (%)
4 1
50.0%
1
50.0%

소재지
Text

UNIQUE 

Distinct228
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T22:17:30.644568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length39
Mean length26.412281
Min length20

Characters and Unicode

Total characters6022
Distinct characters219
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

Unique228 ?
Unique (%)100.0%

Sample

1st row부산광역시 금정구 중앙대로 2349번길 3(노포동)
2nd row부산광역시 금정구 금샘로 41(장전동)
3rd row부산광역시 동래구 금정마을로 83(온천동)
4th row부산광역시 기장군 기장읍 차성동로122번길 10
5th row부산광역시 북구 시랑로114번길 45(구포동)
ValueCountFrequency (%)
부산광역시 228
 
22.2%
사하구 25
 
2.4%
해운대구 25
 
2.4%
금정구 24
 
2.3%
동래구 19
 
1.8%
기장군 18
 
1.7%
부산진구 17
 
1.7%
북구 16
 
1.6%
연제구 15
 
1.5%
남구 13
 
1.3%
Other values (531) 629
61.1%
2023-12-12T22:17:31.187868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
801
 
13.3%
산 270
 
4.5%
동 266
 
4.4%
부 257
 
4.3%
광 238
 
4.0%
시 237
 
3.9%
역 228
 
3.8%
구 221
 
3.7%
로 212
 
3.5%
) 210
 
3.5%
Other values (209) 3082
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3719
61.8%
Decimal Number 970
 
16.1%
Space Separator 801
 
13.3%
Close Punctuation 210
 
3.5%
Open Punctuation 210
 
3.5%
Other Punctuation 59
 
1.0%
Dash Punctuation 51
 
0.8%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 270
 
7.3%
동 266
 
7.2%
부 257
 
6.9%
광 238
 
6.4%
시 237
 
6.4%
역 228
 
6.1%
구 221
 
5.9%
로 212
 
5.7%
길 132
 
3.5%
번 118
 
3.2%
Other values (192) 1540
41.4%
Decimal Number
ValueCountFrequency (%)
1 184
19.0%
2 144
14.8%
6 99
10.2%
3 97
10.0%
5 90
9.3%
4 85
8.8%
7 79
8.1%
0 77
7.9%
9 65
 
6.7%
8 50
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
801
100.0%
Close Punctuation
ValueCountFrequency (%)
) 210
100.0%
Open Punctuation
ValueCountFrequency (%)
( 210
100.0%
Other Punctuation
ValueCountFrequency (%)
, 59
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3719
61.8%
Common 2301
38.2%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 270
 
7.3%
동 266
 
7.2%
부 257
 
6.9%
광 238
 
6.4%
시 237
 
6.4%
역 228
 
6.1%
구 221
 
5.9%
로 212
 
5.7%
길 132
 
3.5%
번 118
 
3.2%
Other values (192) 1540
41.4%
Common
ValueCountFrequency (%)
801
34.8%
) 210
 
9.1%
( 210
 
9.1%
1 184
 
8.0%
2 144
 
6.3%
6 99
 
4.3%
3 97
 
4.2%
5 90
 
3.9%
4 85
 
3.7%
7 79
 
3.4%
Other values (5) 302
 
13.1%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3719
61.8%
ASCII 2303
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
801
34.8%
) 210
 
9.1%
( 210
 
9.1%
1 184
 
8.0%
2 144
 
6.3%
6 99
 
4.3%
3 97
 
4.2%
5 90
 
3.9%
4 85
 
3.7%
7 79
 
3.4%
Other values (7) 304
 
13.2%
Hangul
ValueCountFrequency (%)
산 270
 
7.3%
동 266
 
7.2%
부 257
 
6.9%
광 238
 
6.4%
시 237
 
6.4%
역 228
 
6.1%
구 221
 
5.9%
로 212
 
5.7%
길 132
 
3.5%
번 118
 
3.2%
Other values (192) 1540
41.4%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct228
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.177547
Minimum35.042548
Maximum35.379486
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-12T22:17:31.334828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.042548
5-th percentile35.079877
Q135.12538
median35.180435
Q335.216414
95-th percentile35.294303
Maximum35.379486
Range0.3369386
Interquartile range (IQR)0.091034578

Descriptive statistics

Standard deviation0.065170661
Coefficient of variation (CV)0.0018526209
Kurtosis0.08299017
Mean35.177547
Median Absolute Deviation (MAD)0.04582163
Skewness0.38588764
Sum8020.4808
Variance0.004247215
MonotonicityNot monotonic
2023-12-12T22:17:31.483530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.29339563 1
 
0.4%
35.13280026 1
 
0.4%
35.1820181 1
 
0.4%
35.16780341 1
 
0.4%
35.11638703 1
 
0.4%
35.21290491 1
 
0.4%
35.21076697 1
 
0.4%
35.21883881 1
 
0.4%
35.08846841 1
 
0.4%
35.22050087 1
 
0.4%
Other values (218) 218
95.6%
ValueCountFrequency (%)
35.0425478 1
0.4%
35.05619952 1
0.4%
35.05867068 1
0.4%
35.06149626 1
0.4%
35.06688592 1
0.4%
35.07028649 1
0.4%
35.07508283 1
0.4%
35.07644888 1
0.4%
35.07750748 1
0.4%
35.07825929 1
0.4%
ValueCountFrequency (%)
35.3794864 1
0.4%
35.37483686 1
0.4%
35.35898651 1
0.4%
35.34389738 1
0.4%
35.3235575 1
0.4%
35.32305447 1
0.4%
35.31713516 1
0.4%
35.31518227 1
0.4%
35.30138507 1
0.4%
35.29908023 1
0.4%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct228
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.06775
Minimum128.82898
Maximum129.26354
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-12T22:17:31.639238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.82898
5-th percentile128.96085
Q1129.015
median129.07144
Q3129.10676
95-th percentile129.21679
Maximum129.26354
Range0.4345547
Interquartile range (IQR)0.0917593

Descriptive statistics

Standard deviation0.077447715
Coefficient of variation (CV)0.00060005474
Kurtosis0.60954596
Mean129.06775
Median Absolute Deviation (MAD)0.0489779
Skewness0.22769376
Sum29427.447
Variance0.0059981486
MonotonicityNot monotonic
2023-12-12T22:17:31.775991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.1000092 1
 
0.4%
128.9755426 1
 
0.4%
129.1082758 1
 
0.4%
129.1082583 1
 
0.4%
129.1093597 1
 
0.4%
129.0645324 1
 
0.4%
129.0111711 1
 
0.4%
129.1044161 1
 
0.4%
128.9733796 1
 
0.4%
129.1532743 1
 
0.4%
Other values (218) 218
95.6%
ValueCountFrequency (%)
128.8289829 1
0.4%
128.8308944 1
0.4%
128.9010502 1
0.4%
128.9043843 1
0.4%
128.9137728 1
0.4%
128.9235123 1
0.4%
128.9238884 1
0.4%
128.9399809 1
0.4%
128.9473142 1
0.4%
128.9549066 1
0.4%
ValueCountFrequency (%)
129.2635376 1
0.4%
129.2614089 1
0.4%
129.2602205 1
0.4%
129.2589983 1
0.4%
129.2573159 1
0.4%
129.2564864 1
0.4%
129.2541361 1
0.4%
129.2510753 1
0.4%
129.2413835 1
0.4%
129.2277195 1
0.4%

소관부서(시)
Categorical

Distinct7
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
노인복지과
79 
출산보육과
64 
장애인복지과
30 
복지정책과
22 
아동청소년과
20 
Other values (2)
13 

Length

Max length6
Median length5
Mean length5.2192982
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row아동청소년과
2nd row아동청소년과
3rd row아동청소년과
4th row출산보육과
5th row아동청소년과

Common Values

ValueCountFrequency (%)
노인복지과 79
34.6%
출산보육과 64
28.1%
장애인복지과 30
 
13.2%
복지정책과 22
 
9.6%
아동청소년과 20
 
8.8%
여성가족과 9
 
3.9%
건강정책과 4
 
1.8%

Length

2023-12-12T22:17:31.908036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:17:32.013905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노인복지과 79
34.6%
출산보육과 64
28.1%
장애인복지과 30
 
13.2%
복지정책과 22
 
9.6%
아동청소년과 20
 
8.8%
여성가족과 9
 
3.9%
건강정책과 4
 
1.8%

대표자성명
Text

Distinct225
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T22:17:32.358811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3
Min length2

Characters and Unicode

Total characters684
Distinct characters150
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

Unique222 ?
Unique (%)97.4%

Sample

1st row박도영
2nd row김택수
3rd row박남기
4th row이 옥
5th row조중형
ValueCountFrequency (%)
박승기 2
 
0.9%
이정우 2
 
0.9%
오흥숙 2
 
0.9%
박동호 1
 
0.4%
박인철 1
 
0.4%
최미롱 1
 
0.4%
이명득 1
 
0.4%
양혁승 1
 
0.4%
방대유 1
 
0.4%
황삼복 1
 
0.4%
Other values (216) 216
94.3%
2023-12-12T22:17:32.862505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 38
 
5.6%
김 35
 
5.1%
정 31
 
4.5%
박 25
 
3.7%
영 21
 
3.1%
성 19
 
2.8%
수 18
 
2.6%
희 13
 
1.9%
숙 12
 
1.8%
현 12
 
1.8%
Other values (140) 460
67.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 683
99.9%
Space Separator 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 38
 
5.6%
김 35
 
5.1%
정 31
 
4.5%
박 25
 
3.7%
영 21
 
3.1%
성 19
 
2.8%
수 18
 
2.6%
희 13
 
1.9%
숙 12
 
1.8%
현 12
 
1.8%
Other values (139) 459
67.2%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 683
99.9%
Common 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 38
 
5.6%
김 35
 
5.1%
정 31
 
4.5%
박 25
 
3.7%
영 21
 
3.1%
성 19
 
2.8%
수 18
 
2.6%
희 13
 
1.9%
숙 12
 
1.8%
현 12
 
1.8%
Other values (139) 459
67.2%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 683
99.9%
ASCII 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 38
 
5.6%
김 35
 
5.1%
정 31
 
4.5%
박 25
 
3.7%
영 21
 
3.1%
성 19
 
2.8%
수 18
 
2.6%
희 13
 
1.9%
숙 12
 
1.8%
현 12
 
1.8%
Other values (139) 459
67.2%
ASCII
ValueCountFrequency (%)
1
100.0%

허가일자
Date

Distinct212
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum1946-12-01 00:00:00
Maximum2022-05-23 00:00:00
2023-12-12T22:17:33.007382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:17:33.169168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

연락처
Text

MISSING 

Distinct225
Distinct (%)100.0%
Missing3
Missing (%)1.3%
Memory size1.9 KiB
2023-12-12T22:17:33.412369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.013333
Min length12

Characters and Unicode

Total characters2703
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

Unique225 ?
Unique (%)100.0%

Sample

1st row051-508-1199
2nd row051-582-4287
3rd row051-555-0919
4th row051-722-2110
5th row051-334-0114
ValueCountFrequency (%)
051-204-0008 1
 
0.4%
051-362-5508 1
 
0.4%
051-316-1512 1
 
0.4%
051-722-6501 1
 
0.4%
051-627-8566 1
 
0.4%
051-757-9747 1
 
0.4%
051-757-2260 1
 
0.4%
051-611-2428 1
 
0.4%
051-816-1366 1
 
0.4%
051-343-7799 1
 
0.4%
Other values (215) 215
95.6%
2023-12-12T22:17:33.773429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 450
16.6%
0 435
16.1%
5 388
14.4%
1 383
14.2%
2 205
7.6%
7 168
 
6.2%
3 159
 
5.9%
6 155
 
5.7%
8 133
 
4.9%
4 124
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2253
83.4%
Dash Punctuation 450
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 435
19.3%
5 388
17.2%
1 383
17.0%
2 205
9.1%
7 168
 
7.5%
3 159
 
7.1%
6 155
 
6.9%
8 133
 
5.9%
4 124
 
5.5%
9 103
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 450
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2703
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 450
16.6%
0 435
16.1%
5 388
14.4%
1 383
14.2%
2 205
7.6%
7 168
 
6.2%
3 159
 
5.9%
6 155
 
5.7%
8 133
 
4.9%
4 124
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2703
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 450
16.6%
0 435
16.1%
5 388
14.4%
1 383
14.2%
2 205
7.6%
7 168
 
6.2%
3 159
 
5.9%
6 155
 
5.7%
8 133
 
4.9%
4 124
 
4.6%

Interactions

2023-12-12T22:17:28.895976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:17:28.451129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:17:28.669725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:17:28.962716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:17:28.519119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:17:28.743628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:17:29.040383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:17:28.597980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:17:28.822206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:17:33.867029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도소관부서(시)
연번1.0000.2060.2630.572
위도0.2061.0000.7850.000
경도0.2630.7851.0000.100
소관부서(시)0.5720.0000.1001.000
2023-12-12T22:17:33.961813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도소관부서(시)
연번1.0000.0600.0290.332
위도0.0601.0000.5650.000
경도0.0290.5651.0000.016
소관부서(시)0.3320.0000.0161.000

Missing values

2023-12-12T22:17:29.144123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:17:29.281396image/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

연번법인명소재지위도경도소관부서(시)대표자성명허가일자연락처
01남광사회복지회부산광역시 금정구 중앙대로 2349번길 3(노포동)35.293396129.100009아동청소년과박도영1946-12-01051-508-1199
12성애원부산광역시 금정구 금샘로 41(장전동)35.229441129.076261아동청소년과김택수1950-12-01051-582-4287
23안음전복지재단부산광역시 동래구 금정마을로 83(온천동)35.213601129.064322아동청소년과박남기1952-05-08051-555-0919
34부산유스센타부산광역시 기장군 기장읍 차성동로122번길 1035.248408129.217532출산보육과이 옥1952-05-08051-722-2110
45장선종합복지공동체부산광역시 북구 시랑로114번길 45(구포동)35.194265129.008693아동청소년과조중형1952-05-23051-334-0114
56애아원부산광역시 사하구 감천로43번길 45-1(감천동)35.093583128.99951아동청소년과강덕수1955-01-20051-291-9364
67우리집원부산광역시 동래구 우장춘로 192-1(온천동)35.223055129.077671아동청소년과김삼진1956-02-21051-552-0386
78평화원부산광역시 영도구 아랫서발길 58(동삼동)35.066886129.079021출산보육과임준애1956-06-06<NA>
89새빛기독보육원부산광역시 남구 신선로 452(용당동)35.12465129.100794아동청소년과최금련1956-10-13051-623-4011
910마리아모자원부산광역시 연제구 해맞이로99번길 7(거제동)35.182903129.069037여성가족과문보열1956-10-16051-504-2456
연번법인명소재지위도경도소관부서(시)대표자성명허가일자연락처
218219든솔부산광역시 남구 유엔로25번길 60(우암동)35.128327129.077857장애인복지과손미옥2015-02-10051-622-6210
219220인혜부산광역시 강서구 대저중앙로394번가길 29(대저1동)35.216377128.986813장애인복지과이금주2015-04-17051-971-9209
220221토리부산광역시 부산진구 마철로 51(당감동)35.158084129.045717장애인복지과장필자2016-05-03051-892-9800
221222전원부산광역시 부산진구 서면문화로 26, 3층(부전동)35.159705129.05633노인복지과전윤애2016-10-06051-996-0006
222223제세부산광역시 연제구 중앙대로 1091, 103호(연산동, 제세빌딩)35.185414129.080654노인복지과윤미영2016-12-07051-866-1189
223224선우엘복지재단부산광역시 사하구 장평로299번길 21, 1층(신평동)35.092905128.972094복지정책과박미정2017-10-13051-203-4456
224225문수복지재단부산광역시 남구 홍곡로336번길 41(용당동)35.123163129.091832노인복지과최규태2018-02-02051-624-1244
225226연제구사회복지협의회부산광역시 연제구 봉수로 17, 4층(연산동)35.172729129.088906복지정책과박동호2020-05-25051-715-4304
226227삼성위드홈부산광역시 부산진구 양지로 17번길 10-1(양정동)35.169053129.070579장애인복지과구영자2021-01-25051-809-5670
227228수와천부산광역시 강서구 공항로743번길 95, 1층(대저2동)35.171554128.954907장애인복지과서기석2022-05-23051-972-6542