Overview

Dataset statistics

Number of variables8
Number of observations54
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.7 KiB
Average record size in memory69.4 B

Variable types

Numeric3
Text3
Categorical1
DateTime1

Dataset

Description부산광역시_종합사회복지관현황_20230602
Author부산광역시
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15114233

Alerts

연번 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique
경도 has unique valuesUnique
위도 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:21:56.276318
Analysis finished2023-12-10 16:21:57.872976
Duration1.6 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.5
Minimum1
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-11T01:21:57.967392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.65
Q114.25
median27.5
Q340.75
95-th percentile51.35
Maximum54
Range53
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation15.732133
Coefficient of variation (CV)0.57207755
Kurtosis-1.2
Mean27.5
Median Absolute Deviation (MAD)13.5
Skewness0
Sum1485
Variance247.5
MonotonicityStrictly increasing
2023-12-11T01:21:58.166171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
42 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
38 1
 
1.9%
Other values (44) 44
81.5%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
54 1
1.9%
53 1
1.9%
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%

기관명
Text

Distinct53
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-11T01:21:58.452366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7
Mean length7.3888889
Min length7

Characters and Unicode

Total characters399
Distinct characters78
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

Unique52 ?
Unique (%)96.3%

Sample

1st row중구사회복지관
2nd row서구사회복지관
3rd row기독교사회복지관
4th row동구사회복지관
5th row부산사회복지관
ValueCountFrequency (%)
부산사회복지관 2
 
3.7%
중구사회복지관 1
 
1.9%
금정구사회복지관 1
 
1.9%
반송사회복지관 1
 
1.9%
영진사회복지관 1
 
1.9%
운봉사회복지관 1
 
1.9%
반석사회복지관 1
 
1.9%
파랑새사회복지관 1
 
1.9%
반여사회복지관 1
 
1.9%
사하구사회복지관 1
 
1.9%
Other values (43) 43
79.6%
2023-12-11T01:21:58.873750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 57
14.3%
복 55
13.8%
회 54
13.5%
지 54
13.5%
관 54
13.5%
구 12
 
3.0%
동 5
 
1.3%
산 5
 
1.3%
영 4
 
1.0%
부 3
 
0.8%
Other values (68) 96
24.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 399
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 57
14.3%
복 55
13.8%
회 54
13.5%
지 54
13.5%
관 54
13.5%
구 12
 
3.0%
동 5
 
1.3%
산 5
 
1.3%
영 4
 
1.0%
부 3
 
0.8%
Other values (68) 96
24.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 399
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 57
14.3%
복 55
13.8%
회 54
13.5%
지 54
13.5%
관 54
13.5%
구 12
 
3.0%
동 5
 
1.3%
산 5
 
1.3%
영 4
 
1.0%
부 3
 
0.8%
Other values (68) 96
24.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 399
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 57
14.3%
복 55
13.8%
회 54
13.5%
지 54
13.5%
관 54
13.5%
구 12
 
3.0%
동 5
 
1.3%
산 5
 
1.3%
영 4
 
1.0%
부 3
 
0.8%
Other values (68) 96
24.1%

주소
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-11T01:21:59.192405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length19.240741
Min length14

Characters and Unicode

Total characters1039
Distinct characters109
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)100.0%

Sample

1st row부산광역시부산광역시중구 망양로 309
2nd row부산광역시서구 망양로 193번길 104
3rd row부산광역시서구 까치고개로 229번길 40
4th row부산광역시동구 안창로 57
5th row부산광역시동구 수정공원로 15
ValueCountFrequency (%)
부산광역시북구 9
 
4.9%
부산광역시해운대구 7
 
3.8%
부산광역시사하구 5
 
2.7%
부산광역시영도구 5
 
2.7%
부산광역시부산진구 4
 
2.2%
부산광역시사상구 4
 
2.2%
21 3
 
1.6%
신반송로 3
 
1.6%
효열로 3
 
1.6%
부산광역시남구 3
 
1.6%
Other values (118) 138
75.0%
2023-12-11T01:21:59.732646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
131
 
12.6%
산 60
 
5.8%
부 59
 
5.7%
시 58
 
5.6%
광 55
 
5.3%
역 55
 
5.3%
구 52
 
5.0%
로 51
 
4.9%
1 45
 
4.3%
길 27
 
2.6%
Other values (99) 446
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 688
66.2%
Decimal Number 205
 
19.7%
Space Separator 131
 
12.6%
Dash Punctuation 11
 
1.1%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 60
 
8.7%
부 59
 
8.6%
시 58
 
8.4%
광 55
 
8.0%
역 55
 
8.0%
구 52
 
7.6%
로 51
 
7.4%
길 27
 
3.9%
번 24
 
3.5%
대 21
 
3.1%
Other values (85) 226
32.8%
Decimal Number
ValueCountFrequency (%)
1 45
22.0%
2 24
11.7%
4 23
11.2%
0 21
10.2%
7 19
9.3%
3 18
 
8.8%
5 17
 
8.3%
6 16
 
7.8%
9 16
 
7.8%
8 6
 
2.9%
Space Separator
ValueCountFrequency (%)
131
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 688
66.2%
Common 351
33.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 60
 
8.7%
부 59
 
8.6%
시 58
 
8.4%
광 55
 
8.0%
역 55
 
8.0%
구 52
 
7.6%
로 51
 
7.4%
길 27
 
3.9%
번 24
 
3.5%
대 21
 
3.1%
Other values (85) 226
32.8%
Common
ValueCountFrequency (%)
131
37.3%
1 45
 
12.8%
2 24
 
6.8%
4 23
 
6.6%
0 21
 
6.0%
7 19
 
5.4%
3 18
 
5.1%
5 17
 
4.8%
6 16
 
4.6%
9 16
 
4.6%
Other values (4) 21
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 688
66.2%
ASCII 351
33.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
131
37.3%
1 45
 
12.8%
2 24
 
6.8%
4 23
 
6.6%
0 21
 
6.0%
7 19
 
5.4%
3 18
 
5.1%
5 17
 
4.8%
6 16
 
4.6%
9 16
 
4.6%
Other values (4) 21
 
6.0%
Hangul
ValueCountFrequency (%)
산 60
 
8.7%
부 59
 
8.6%
시 58
 
8.4%
광 55
 
8.0%
역 55
 
8.0%
구 52
 
7.6%
로 51
 
7.4%
길 27
 
3.9%
번 24
 
3.5%
대 21
 
3.1%
Other values (85) 226
32.8%

설립주체
Categorical

Distinct21
Distinct (%)38.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
법인
9 
BMC
9 
LH
8 
부산진구
3 
남구
3 
Other values (16)
22 

Length

Max length4
Median length3
Mean length2.6296296
Min length2

Unique

Unique10 ?
Unique (%)18.5%

Sample

1st row중구
2nd row서구
3rd row법인
4th row동구
5th row법인

Common Values

ValueCountFrequency (%)
법인 9
16.7%
BMC 9
16.7%
LH 8
14.8%
부산진구 3
 
5.6%
남구 3
 
5.6%
강서구 2
 
3.7%
사하구 2
 
3.7%
해운대구 2
 
3.7%
연제구 2
 
3.7%
북구 2
 
3.7%
Other values (11) 12
22.2%

Length

2023-12-11T01:21:59.887624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
법인 10
18.5%
lh 9
16.7%
bmc 9
16.7%
부산진구 3
 
5.6%
남구 3
 
5.6%
연제구 2
 
3.7%
기장군 2
 
3.7%
북구 2
 
3.7%
해운대구 2
 
3.7%
사하구 2
 
3.7%
Other values (9) 10
18.5%

개관일자
Date

Distinct50
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum1985-05-03 00:00:00
Maximum2022-04-01 00:00:00
2023-12-11T01:22:00.156544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:22:00.337647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

전화번호
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-11T01:22:00.645384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters648
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

Unique54 ?
Unique (%)100.0%

Sample

1st row051-464-3137
2nd row051-253-1922
3rd row051-257-9404
4th row051-633-3367
5th row051-465-0990
ValueCountFrequency (%)
051-464-3137 1
 
1.9%
051-263-3045 1
 
1.9%
051-792-4730 1
 
1.9%
051-544-8006 1
 
1.9%
051-529-0005 1
 
1.9%
051-543-2431 1
 
1.9%
051-542-0196 1
 
1.9%
051-545-0115 1
 
1.9%
051-784-0552 1
 
1.9%
051-293-2688 1
 
1.9%
Other values (44) 44
81.5%
2023-12-11T01:22:01.204477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 108
16.7%
- 108
16.7%
5 96
14.8%
1 84
13.0%
3 59
9.1%
4 44
6.8%
6 39
 
6.0%
2 39
 
6.0%
7 27
 
4.2%
8 22
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 540
83.3%
Dash Punctuation 108
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 108
20.0%
5 96
17.8%
1 84
15.6%
3 59
10.9%
4 44
8.1%
6 39
 
7.2%
2 39
 
7.2%
7 27
 
5.0%
8 22
 
4.1%
9 22
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 648
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 108
16.7%
- 108
16.7%
5 96
14.8%
1 84
13.0%
3 59
9.1%
4 44
6.8%
6 39
 
6.0%
2 39
 
6.0%
7 27
 
4.2%
8 22
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 648
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 108
16.7%
- 108
16.7%
5 96
14.8%
1 84
13.0%
3 59
9.1%
4 44
6.8%
6 39
 
6.0%
2 39
 
6.0%
7 27
 
4.2%
8 22
 
3.4%

경도
Real number (ℝ)

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.05554
Minimum128.90281
Maximum129.21545
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-11T01:22:01.502373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.90281
5-th percentile128.97377
Q1129.01525
median129.04152
Q3129.09864
95-th percentile129.16001
Maximum129.21545
Range0.3126316
Interquartile range (IQR)0.083394175

Descriptive statistics

Standard deviation0.064326123
Coefficient of variation (CV)0.00049843753
Kurtosis0.16399271
Mean129.05554
Median Absolute Deviation (MAD)0.03682245
Skewness0.46178387
Sum6968.999
Variance0.0041378501
MonotonicityNot monotonic
2023-12-11T01:22:01.731098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.0282438 1
 
1.9%
129.1000092 1
 
1.9%
129.1263349 1
 
1.9%
129.1586641 1
 
1.9%
129.1625165 1
 
1.9%
129.1585247 1
 
1.9%
129.1317881 1
 
1.9%
129.0077021 1
 
1.9%
128.9792691 1
 
1.9%
128.985473 1
 
1.9%
Other values (44) 44
81.5%
ValueCountFrequency (%)
128.9028146 1
1.9%
128.9593907 1
1.9%
128.9635537 1
1.9%
128.9792691 1
1.9%
128.985473 1
1.9%
128.9867137 1
1.9%
128.9897461 1
1.9%
128.9947789 1
1.9%
128.9978728 1
1.9%
128.9993511 1
1.9%
ValueCountFrequency (%)
129.2154462 1
1.9%
129.213631 1
1.9%
129.1625165 1
1.9%
129.1586641 1
1.9%
129.1585247 1
1.9%
129.1469098 1
1.9%
129.1317881 1
1.9%
129.1275334 1
1.9%
129.1263349 1
1.9%
129.1183632 1
1.9%

위도
Real number (ℝ)

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.167238
Minimum35.051228
Maximum35.293396
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-11T01:22:01.958494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.051228
5-th percentile35.069257
Q135.118773
median35.171883
Q335.216233
95-th percentile35.25924
Maximum35.293396
Range0.2421672
Interquartile range (IQR)0.097460203

Descriptive statistics

Standard deviation0.062583743
Coefficient of variation (CV)0.0017796036
Kurtosis-0.99266849
Mean35.167238
Median Absolute Deviation (MAD)0.04972148
Skewness-0.09532787
Sum1899.0309
Variance0.0039167249
MonotonicityNot monotonic
2023-12-11T01:22:02.218579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.10578162 1
 
1.9%
35.29339563 1
 
1.9%
35.20575591 1
 
1.9%
35.23029233 1
 
1.9%
35.22850669 1
 
1.9%
35.22898668 1
 
1.9%
35.19828664 1
 
1.9%
35.09446142 1
 
1.9%
35.06376729 1
 
1.9%
35.06274344 1
 
1.9%
Other values (44) 44
81.5%
ValueCountFrequency (%)
35.05122843 1
1.9%
35.06274344 1
1.9%
35.06376729 1
1.9%
35.07221265 1
1.9%
35.07600143 1
1.9%
35.08121547 1
1.9%
35.0833273 1
1.9%
35.08563822 1
1.9%
35.08616799 1
1.9%
35.09446142 1
1.9%
ValueCountFrequency (%)
35.29339563 1
1.9%
35.26773195 1
1.9%
35.25988579 1
1.9%
35.2588917 1
1.9%
35.25518932 1
1.9%
35.25363765 1
1.9%
35.23590035 1
1.9%
35.23029233 1
1.9%
35.22898668 1
1.9%
35.22850669 1
1.9%

Interactions

2023-12-11T01:21:57.329433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:21:56.753934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:21:57.035111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:21:57.468169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:21:56.830371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:21:57.139380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:21:57.554523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:21:56.919714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:21:57.241575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:22:02.389909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기관명주소설립주체개관일자전화번호경도위도
연번1.0000.9351.0000.7410.9941.0000.7540.767
기관명0.9351.0001.0000.9240.9891.0000.9390.947
주소1.0001.0001.0001.0001.0001.0001.0001.000
설립주체0.7410.9241.0001.0000.9611.0000.8300.546
개관일자0.9940.9891.0000.9611.0001.0000.9700.995
전화번호1.0001.0001.0001.0001.0001.0001.0001.000
경도0.7540.9391.0000.8300.9701.0001.0000.490
위도0.7670.9471.0000.5460.9951.0000.4901.000
2023-12-11T01:22:02.611624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번경도위도설립주체
연번1.000-0.0290.3200.321
경도-0.0291.0000.3170.394
위도0.3200.3171.0000.183
설립주체0.3210.3940.1831.000

Missing values

2023-12-11T01:21:57.665996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:21:57.818776image/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

연번기관명주소설립주체개관일자전화번호경도위도
01중구사회복지관부산광역시부산광역시중구 망양로 309중구1994-08-19051-464-3137129.02824435.105782
12서구사회복지관부산광역시서구 망양로 193번길 104서구1993-02-26051-253-1922129.02635935.111179
23기독교사회복지관부산광역시서구 까치고개로 229번길 40법인1986-12-18051-257-9404129.02114935.101578
34동구사회복지관부산광역시동구 안창로 57동구1991-02-27051-633-3367129.0424335.145628
45부산사회복지관부산광역시동구 수정공원로 15법인1991-08-14051-465-0990129.04061235.128707
56영도구사회복지관부산광역시영도구 산정길 138영도구1992-03-21051-413-4661129.04750935.081215
67동삼사회복지관부산광역시영도구 상리로 30LH1992-03-21051-405-2133129.06683535.083327
78상리사회복지관부산광역시영도구 상리로 63-16LH1994-03-29051-404-5061129.07077635.086168
89절영사회복지관부산광역시영도구 함지로 33-10BMC1994-03-11051-404-5530129.06174635.072213
910와치사회복지관부산광역시영도구 함지로 79번길 76BMC1995-05-15051-403-4200129.06552335.076001
연번기관명주소설립주체개관일자전화번호경도위도
4445연제구연산사회복지관부산광역시연제구 봉수로17연제구1990-03-19051-863-8360129.08890635.172729
4546연제구거제사회복지관부산광역시연제구 아시아드대로 46번길 45연제구2013-01-25051-507-8171129.07070235.188477
4647부산사회복지관부산광역시수영구 금련로 43번길 54법인1985-05-03051-755-3367129.09866435.171037
4748홀트수영사회복지관부산광역시수영구 장대골로 20-5법인2007-07-27051-760-3600129.1110335.15935
4849모라사회복지관부산광역시사상구 모라로 110번길 129LH1992-05-30051-304-9877128.99787335.184944
4950백양사회복지관부산광역시사상구 모라로 192번길 20-33LH1993-11-19051-305-4286128.99935135.183724
5051학장사회복지관부산광역시사상구 학감대로 49번길 28-70BMC1993-11-19051-311-4016128.98974635.138652
5152사상구사회복지관부산광역시사상구 백양대로 527사상구1993-11-12051-314-8948128.99477935.155431
5253기장사회복지관부산광역시기장군 기장읍 차성로 206기장군1998-03-18051-792-4730129.21363135.2359
5354다행복한사회복지관부산광역시기장군 기장읍 차성로417번길 11기장군2022-04-01051-792-4990129.21544635.255189