Overview

Dataset statistics

Number of variables7
Number of observations40
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory61.3 B

Variable types

Categorical2
Text3
Numeric2

Dataset

Description부산광역시 재가노인지원서비스센테에 대한 데이터로, 시도, 구군, 주소, 전화번호, 경도,위도 항목정보를 제공합니다.(장기요양 등급외 또는 복지사각지대 저소득 노인에게 일상생활 지원을 비롯한 각종 필요서비스를 제공함으로써 예방적 복지실현 및 사회안전망 구축)
Author부산광역시
URLhttps://www.data.go.kr/data/15042533/fileData.do

Alerts

시도 has constant value ""Constant
경도 is highly overall correlated with 구군High correlation
구군 is highly overall correlated with 경도High correlation
시설명 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique
경도 has unique valuesUnique
위도 has unique valuesUnique

Reproduction

Analysis started2024-03-23 06:01:40.284782
Analysis finished2024-03-23 06:01:46.997366
Duration6.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
부산광역시
40 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산광역시 40
100.0%

Length

2024-03-23T06:01:47.202511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T06:01:47.512586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 40
100.0%

구군
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
부산진구
4 
동래구
4 
북구
4 
동구
3 
해운대구
3 
Other values (10)
22 

Length

Max length4
Median length3
Mean length2.875
Min length2

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
부산진구 4
10.0%
동래구 4
10.0%
북구 4
10.0%
동구 3
 
7.5%
해운대구 3
 
7.5%
사하구 3
 
7.5%
금정구 3
 
7.5%
강서구 3
 
7.5%
서구 2
 
5.0%
영도구 2
 
5.0%
Other values (5) 9
22.5%

Length

2024-03-23T06:01:47.901889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부산진구 4
10.0%
동래구 4
10.0%
북구 4
10.0%
동구 3
 
7.5%
해운대구 3
 
7.5%
사하구 3
 
7.5%
금정구 3
 
7.5%
강서구 3
 
7.5%
서구 2
 
5.0%
영도구 2
 
5.0%
Other values (5) 9
22.5%

시설명
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-03-23T06:01:48.577024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length15
Mean length15.9
Min length15

Characters and Unicode

Total characters636
Distinct characters72
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

Unique40 ?
Unique (%)100.0%

Sample

1st row 노틀담재가노인지원서비스센터
2nd row 송도재가노인지원서비스센터
3rd row 인창서구재가노인지원서비스센터
4th row 봉생동구재가노인지원서비스센터
5th row 인창동구재가노인지원서비스센터
ValueCountFrequency (%)
노틀담재가노인지원서비스센터 1
 
2.4%
화정재가노인지원서비스센터 1
 
2.4%
어진샘재가노인지원서비스센터 1
 
2.4%
영진재가노인지원서비스센터 1
 
2.4%
장산재가노인지원서비스센터 1
 
2.4%
두송재가노인지원서비스센터 1
 
2.4%
아들재가노인지원서비스센터 1
 
2.4%
인창재가노인지원서비스센터 1
 
2.4%
금정구재가노인지원서비스센터 1
 
2.4%
애광재가노인지원서비스센터 1
 
2.4%
Other values (31) 31
75.6%
2024-03-23T06:01:49.913708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
81
12.7%
인 45
 
7.1%
노 43
 
6.8%
서 42
 
6.6%
지 42
 
6.6%
원 42
 
6.6%
터 40
 
6.3%
센 40
 
6.3%
비 40
 
6.3%
스 40
 
6.3%
Other values (62) 181
28.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 555
87.3%
Space Separator 81
 
12.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 45
 
8.1%
노 43
 
7.7%
서 42
 
7.6%
지 42
 
7.6%
원 42
 
7.6%
터 40
 
7.2%
센 40
 
7.2%
비 40
 
7.2%
스 40
 
7.2%
가 40
 
7.2%
Other values (61) 141
25.4%
Space Separator
ValueCountFrequency (%)
81
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 555
87.3%
Common 81
 
12.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 45
 
8.1%
노 43
 
7.7%
서 42
 
7.6%
지 42
 
7.6%
원 42
 
7.6%
터 40
 
7.2%
센 40
 
7.2%
비 40
 
7.2%
스 40
 
7.2%
가 40
 
7.2%
Other values (61) 141
25.4%
Common
ValueCountFrequency (%)
81
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 555
87.3%
ASCII 81
 
12.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
81
100.0%
Hangul
ValueCountFrequency (%)
인 45
 
8.1%
노 43
 
7.7%
서 42
 
7.6%
지 42
 
7.6%
원 42
 
7.6%
터 40
 
7.2%
센 40
 
7.2%
비 40
 
7.2%
스 40
 
7.2%
가 40
 
7.2%
Other values (61) 141
25.4%

주소
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-03-23T06:01:50.827339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length20.3
Min length14

Characters and Unicode

Total characters812
Distinct characters99
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

Unique40 ?
Unique (%)100.0%

Sample

1st row부산광역시 중구 망양로 309
2nd row부산광역시 서구 암남공원로 522
3rd row부산광역시 서구 망양로 72-1
4th row부산광역시 동구 좌천남로 9번길 1
5th row부산광역시 동구 중앙대로 287
ValueCountFrequency (%)
부산광역시 40
 
22.7%
부산진구 4
 
2.3%
동래구 4
 
2.3%
북구 4
 
2.3%
해운대구 3
 
1.7%
동구 3
 
1.7%
금정구 3
 
1.7%
강서구 3
 
1.7%
서구 2
 
1.1%
연제구 2
 
1.1%
Other values (95) 108
61.4%
2024-03-23T06:01:52.251034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
136
16.7%
산 47
 
5.8%
부 44
 
5.4%
광 41
 
5.0%
시 41
 
5.0%
역 40
 
4.9%
로 39
 
4.8%
구 39
 
4.8%
1 36
 
4.4%
2 22
 
2.7%
Other values (89) 327
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 509
62.7%
Decimal Number 151
 
18.6%
Space Separator 136
 
16.7%
Dash Punctuation 9
 
1.1%
Close Punctuation 3
 
0.4%
Open Punctuation 3
 
0.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 47
 
9.2%
부 44
 
8.6%
광 41
 
8.1%
시 41
 
8.1%
역 40
 
7.9%
로 39
 
7.7%
구 39
 
7.7%
길 22
 
4.3%
번 21
 
4.1%
대 12
 
2.4%
Other values (74) 163
32.0%
Decimal Number
ValueCountFrequency (%)
1 36
23.8%
2 22
14.6%
7 17
11.3%
3 15
9.9%
9 15
9.9%
4 11
 
7.3%
5 11
 
7.3%
6 9
 
6.0%
0 9
 
6.0%
8 6
 
4.0%
Space Separator
ValueCountFrequency (%)
136
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 509
62.7%
Common 303
37.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 47
 
9.2%
부 44
 
8.6%
광 41
 
8.1%
시 41
 
8.1%
역 40
 
7.9%
로 39
 
7.7%
구 39
 
7.7%
길 22
 
4.3%
번 21
 
4.1%
대 12
 
2.4%
Other values (74) 163
32.0%
Common
ValueCountFrequency (%)
136
44.9%
1 36
 
11.9%
2 22
 
7.3%
7 17
 
5.6%
3 15
 
5.0%
9 15
 
5.0%
4 11
 
3.6%
5 11
 
3.6%
6 9
 
3.0%
0 9
 
3.0%
Other values (5) 22
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 509
62.7%
ASCII 303
37.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
136
44.9%
1 36
 
11.9%
2 22
 
7.3%
7 17
 
5.6%
3 15
 
5.0%
9 15
 
5.0%
4 11
 
3.6%
5 11
 
3.6%
6 9
 
3.0%
0 9
 
3.0%
Other values (5) 22
 
7.3%
Hangul
ValueCountFrequency (%)
산 47
 
9.2%
부 44
 
8.6%
광 41
 
8.1%
시 41
 
8.1%
역 40
 
7.9%
로 39
 
7.7%
구 39
 
7.7%
길 22
 
4.3%
번 21
 
4.1%
대 12
 
2.4%
Other values (74) 163
32.0%

전화번호
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-03-23T06:01:53.012377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters480
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

Unique40 ?
Unique (%)100.0%

Sample

1st row051-464-3328
2nd row051-246-9312
3rd row051-242-0906
4th row051-465-5151
5th row051-467-7887
ValueCountFrequency (%)
051-464-3328 1
 
2.5%
051-246-9312 1
 
2.5%
051-508-0380 1
 
2.5%
051-784-8005 1
 
2.5%
051-703-1679 1
 
2.5%
051-521-0840 1
 
2.5%
051-201-3471 1
 
2.5%
051-265-9471 1
 
2.5%
051-202-2727 1
 
2.5%
051-581-8049 1
 
2.5%
Other values (30) 30
75.0%
2024-03-23T06:01:54.331434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 80
16.7%
0 78
16.2%
5 77
16.0%
1 71
14.8%
2 33
6.9%
3 28
 
5.8%
4 26
 
5.4%
7 26
 
5.4%
6 24
 
5.0%
8 23
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 400
83.3%
Dash Punctuation 80
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 78
19.5%
5 77
19.2%
1 71
17.8%
2 33
8.2%
3 28
 
7.0%
4 26
 
6.5%
7 26
 
6.5%
6 24
 
6.0%
8 23
 
5.8%
9 14
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 480
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 80
16.7%
0 78
16.2%
5 77
16.0%
1 71
14.8%
2 33
6.9%
3 28
 
5.8%
4 26
 
5.4%
7 26
 
5.4%
6 24
 
5.0%
8 23
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 480
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 80
16.7%
0 78
16.2%
5 77
16.0%
1 71
14.8%
2 33
6.9%
3 28
 
5.8%
4 26
 
5.4%
7 26
 
5.4%
6 24
 
5.0%
8 23
 
4.8%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.0501
Minimum128.90281
Maximum129.15387
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-03-23T06:01:54.871087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.90281
5-th percentile128.97277
Q1129.0146
median129.04242
Q3129.09258
95-th percentile129.12564
Maximum129.15387
Range0.2510515
Interquartile range (IQR)0.077981125

Descriptive statistics

Standard deviation0.054035301
Coefficient of variation (CV)0.00041871568
Kurtosis-0.059460527
Mean129.0501
Median Absolute Deviation (MAD)0.04011535
Skewness-0.31475756
Sum5162.0041
Variance0.0029198138
MonotonicityNot monotonic
2024-03-23T06:01:55.447337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
129.0282438 1
 
2.5%
129.0142428 1
 
2.5%
129.1538661 1
 
2.5%
129.1255373 1
 
2.5%
129.0018709 1
 
2.5%
128.985473 1
 
2.5%
129.0082185 1
 
2.5%
129.1183632 1
 
2.5%
129.074929 1
 
2.5%
129.1000092 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
128.9028146 1
2.5%
128.9593912 1
2.5%
128.9734691 1
2.5%
128.985473 1
2.5%
128.9897461 1
2.5%
128.996382 1
2.5%
129.0018709 1
2.5%
129.0082185 1
2.5%
129.0118835 1
2.5%
129.0142428 1
2.5%
ValueCountFrequency (%)
129.1538661 1
2.5%
129.1275334 1
2.5%
129.1255373 1
2.5%
129.1183632 1
2.5%
129.1134862 1
2.5%
129.1099861 1
2.5%
129.1089905 1
2.5%
129.1055715 1
2.5%
129.1000092 1
2.5%
129.0995842 1
2.5%

위도
Real number (ℝ)

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.163662
Minimum35.062743
Maximum35.293396
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-03-23T06:01:55.979267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.062743
5-th percentile35.079436
Q135.124001
median35.163405
Q335.207784
95-th percentile35.23805
Maximum35.293396
Range0.23065219
Interquartile range (IQR)0.083783483

Descriptive statistics

Standard deviation0.054807122
Coefficient of variation (CV)0.0015586295
Kurtosis-0.66070075
Mean35.163662
Median Absolute Deviation (MAD)0.042748065
Skewness0.10374059
Sum1406.5465
Variance0.0030038206
MonotonicityNot monotonic
2024-03-23T06:01:56.396632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
35.10578162 1
 
2.5%
35.25279093 1
 
2.5%
35.19171428 1
 
2.5%
35.20525856 1
 
2.5%
35.10369515 1
 
2.5%
35.06274344 1
 
2.5%
35.08830952 1
 
2.5%
35.2146544 1
 
2.5%
35.22920006 1
 
2.5%
35.29339563 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
35.06274344 1
2.5%
35.07600143 1
2.5%
35.07961642 1
2.5%
35.08616799 1
2.5%
35.08830952 1
2.5%
35.10369515 1
2.5%
35.10578162 1
2.5%
35.11551352 1
2.5%
35.11976243 1
2.5%
35.1223204 1
2.5%
ValueCountFrequency (%)
35.29339563 1
2.5%
35.25279093 1
2.5%
35.2372741 1
2.5%
35.22920006 1
2.5%
35.22468839 1
2.5%
35.21803874 1
2.5%
35.21679563 1
2.5%
35.2146544 1
2.5%
35.21238058 1
2.5%
35.20915696 1
2.5%

Interactions

2024-03-23T06:01:45.383458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:01:44.749505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:01:45.714848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:01:45.035803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T06:01:56.785436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구군시설명주소전화번호경도위도
구군1.0001.0001.0001.0000.9240.758
시설명1.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
경도0.9241.0001.0001.0001.0000.000
위도0.7581.0001.0001.0000.0001.000
2024-03-23T06:01:57.292430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경도위도구군
경도1.0000.2550.570
위도0.2551.0000.353
구군0.5700.3531.000

Missing values

2024-03-23T06:01:46.195671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T06:01:46.781018image/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

시도구군시설명주소전화번호경도위도
0부산광역시중구노틀담재가노인지원서비스센터부산광역시 중구 망양로 309051-464-3328129.02824435.105782
1부산광역시서구송도재가노인지원서비스센터부산광역시 서구 암남공원로 522051-246-9312129.01188435.079616
2부산광역시서구인창서구재가노인지원서비스센터부산광역시 서구 망양로 72-1051-242-0906129.01689135.115514
3부산광역시동구봉생동구재가노인지원서비스센터부산광역시 동구 좌천남로 9번길 1051-465-5151129.04883335.132304
4부산광역시동구인창동구재가노인지원서비스센터부산광역시 동구 중앙대로 287051-467-7887129.04321935.12232
5부산광역시동구효자손재가노인지원서비스센터부산광역시 동구 홍곡중로5번길 24051-464-1004129.04042235.125806
6부산광역시영도구와치재가노인지원서비스센터부산광역시 영도구 함지로 79번길 76051-403-4200129.06552335.076001
7부산광역시영도구상리재가노인지원서비스센터부산광역시 영도구 상리로 63-16051-404-5061129.07077635.086168
8부산광역시부산진구개금재가노인지원서비스센터부산광역시 부산진구 백양관문로 77번길140051-893-5034129.02499435.16413
9부산광역시부산진구부산진구재가노인지원서비스센터부산광역시 부산진구 당감로 11051-896-8528129.03965135.16268
시도구군시설명주소전화번호경도위도
30부산광역시금정구애광재가노인지원서비스센터부산광역시 금정구 중앙대로 2349번길 3051-532-0115129.10000935.293396
31부산광역시강서구강서구재가노인지원서비스센터부산광역시 강서구 순아강변길 5051-271-0560128.90281535.119762
32부산광역시강서구낙동재가노인지원서비스센터부산광역시 강서구 대저로 63번길 31051-972-4591128.95939135.216796
33부산광역시강서구하늘바람재가노인지원서비스센터부산광역시 강서구 체육공원로 39051-972-4852128.97346935.207327
34부산광역시연제구부산시노인복지관 재가노인지원서비스센터부산광역시 연제구 거제천로 230번길 18 (연산동)051-853-1872129.08210235.191107
35부산광역시연제구혜원재가노인지원서비스센터부산광역시 연제구 묘봉산로 31-1 (연산동)051-866-0183129.09024735.183588
36부산광역시수영구남천재가노인지원서비스센터부산광역시 수영구 수영로 425051-624-5523129.10899135.144144
37부산광역시수영구수영재가노인지원서비스센터부산광역시 수영구 연수로 320-1051-751-7272129.10557135.172046
38부산광역시사상구사상구재가노인지원서비스센터부산광역시 사상구 학감대로 49번길28-70051-311-4017128.98974635.138652
39부산광역시사상구학장재가노인지원서비스센터부산광역시 사상구 학감대로 39번길 129051-310-7511128.99638235.131206