Overview

Dataset statistics

Number of variables6
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory53.9 B

Variable types

Numeric1
Text4
DateTime1

Dataset

Description대구광역시 동구 관내에 있는 지역아동센터에 관한 데이터로, 지역아동센터 시설명, 시설장, 지역아동센터 소재지, 지역아동센터 전화번호, 개소일자를 알 수 있습니다.
Author대구광역시 동구
URLhttps://www.data.go.kr/data/15100080/fileData.do

Alerts

연번 has unique valuesUnique
시설명 has unique valuesUnique
시설장 has unique valuesUnique
소재지 has unique valuesUnique
전화번호 has unique valuesUnique
개소일자 has unique valuesUnique

Reproduction

Analysis started2024-03-15 02:29:33.846426
Analysis finished2024-03-15 02:29:35.129759
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.5
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size362.0 B
2024-03-15T11:29:35.342076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.25
Q17.25
median13.5
Q319.75
95-th percentile24.75
Maximum26
Range25
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation7.6485293
Coefficient of variation (CV)0.56655772
Kurtosis-1.2
Mean13.5
Median Absolute Deviation (MAD)6.5
Skewness0
Sum351
Variance58.5
MonotonicityStrictly increasing
2024-03-15T11:29:35.743279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 1
 
3.8%
15 1
 
3.8%
26 1
 
3.8%
25 1
 
3.8%
24 1
 
3.8%
23 1
 
3.8%
22 1
 
3.8%
21 1
 
3.8%
20 1
 
3.8%
19 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
1 1
3.8%
2 1
3.8%
3 1
3.8%
4 1
3.8%
5 1
3.8%
6 1
3.8%
7 1
3.8%
8 1
3.8%
9 1
3.8%
10 1
3.8%
ValueCountFrequency (%)
26 1
3.8%
25 1
3.8%
24 1
3.8%
23 1
3.8%
22 1
3.8%
21 1
3.8%
20 1
3.8%
19 1
3.8%
18 1
3.8%
17 1
3.8%

시설명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size336.0 B
2024-03-15T11:29:36.516509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length2.6538462
Min length2

Characters and Unicode

Total characters69
Distinct characters55
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

Unique26 ?
Unique (%)100.0%

Sample

1st rowDCU
2nd row꿈터
3rd row늘푸른
4th row동구
5th row동대구
ValueCountFrequency (%)
dcu 1
 
3.8%
꿈터 1
 
3.8%
행복나눔 1
 
3.8%
햇살 1
 
3.8%
청아 1
 
3.8%
채울 1
 
3.8%
즐거운 1
 
3.8%
예만 1
 
3.8%
어울 1
 
3.8%
안심 1
 
3.8%
Other values (16) 16
61.5%
2024-03-15T11:29:37.740849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
신 5
 
7.2%
동 2
 
2.9%
아 2
 
2.9%
솔 2
 
2.9%
이 2
 
2.9%
구 2
 
2.9%
울 2
 
2.9%
로 2
 
2.9%
암 2
 
2.9%
꿈 2
 
2.9%
Other values (45) 46
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66
95.7%
Uppercase Letter 3
 
4.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
신 5
 
7.6%
동 2
 
3.0%
아 2
 
3.0%
솔 2
 
3.0%
이 2
 
3.0%
구 2
 
3.0%
울 2
 
3.0%
로 2
 
3.0%
암 2
 
3.0%
꿈 2
 
3.0%
Other values (42) 43
65.2%
Uppercase Letter
ValueCountFrequency (%)
D 1
33.3%
U 1
33.3%
C 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66
95.7%
Latin 3
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
신 5
 
7.6%
동 2
 
3.0%
아 2
 
3.0%
솔 2
 
3.0%
이 2
 
3.0%
구 2
 
3.0%
울 2
 
3.0%
로 2
 
3.0%
암 2
 
3.0%
꿈 2
 
3.0%
Other values (42) 43
65.2%
Latin
ValueCountFrequency (%)
D 1
33.3%
U 1
33.3%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66
95.7%
ASCII 3
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
신 5
 
7.6%
동 2
 
3.0%
아 2
 
3.0%
솔 2
 
3.0%
이 2
 
3.0%
구 2
 
3.0%
울 2
 
3.0%
로 2
 
3.0%
암 2
 
3.0%
꿈 2
 
3.0%
Other values (42) 43
65.2%
ASCII
ValueCountFrequency (%)
D 1
33.3%
U 1
33.3%
C 1
33.3%

시설장
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size336.0 B
2024-03-15T11:29:38.606545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78
Distinct characters31
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

Unique26 ?
Unique (%)100.0%

Sample

1st row장*숙
2nd row이*희
3rd row강*주
4th row김*경
5th row이*영
ValueCountFrequency (%)
장*숙 1
 
3.8%
이*희 1
 
3.8%
이*순 1
 
3.8%
정*진 1
 
3.8%
김*애 1
 
3.8%
정*란 1
 
3.8%
임*화 1
 
3.8%
성*주 1
 
3.8%
안*현 1
 
3.8%
김*희 1
 
3.8%
Other values (16) 16
61.5%
2024-03-15T11:29:40.004550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 26
33.3%
김 7
 
9.0%
이 4
 
5.1%
정 4
 
5.1%
숙 3
 
3.8%
희 3
 
3.8%
주 3
 
3.8%
장 2
 
2.6%
강 2
 
2.6%
영 2
 
2.6%
Other values (21) 22
28.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52
66.7%
Other Punctuation 26
33.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 7
 
13.5%
이 4
 
7.7%
정 4
 
7.7%
숙 3
 
5.8%
희 3
 
5.8%
주 3
 
5.8%
장 2
 
3.8%
강 2
 
3.8%
영 2
 
3.8%
임 2
 
3.8%
Other values (20) 20
38.5%
Other Punctuation
ValueCountFrequency (%)
* 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52
66.7%
Common 26
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 7
 
13.5%
이 4
 
7.7%
정 4
 
7.7%
숙 3
 
5.8%
희 3
 
5.8%
주 3
 
5.8%
장 2
 
3.8%
강 2
 
3.8%
영 2
 
3.8%
임 2
 
3.8%
Other values (20) 20
38.5%
Common
ValueCountFrequency (%)
* 26
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52
66.7%
ASCII 26
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 26
100.0%
Hangul
ValueCountFrequency (%)
김 7
 
13.5%
이 4
 
7.7%
정 4
 
7.7%
숙 3
 
5.8%
희 3
 
5.8%
주 3
 
5.8%
장 2
 
3.8%
강 2
 
3.8%
영 2
 
3.8%
임 2
 
3.8%
Other values (20) 20
38.5%

소재지
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size336.0 B
2024-03-15T11:29:40.889112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length26.5
Mean length21.653846
Min length16

Characters and Unicode

Total characters563
Distinct characters72
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

Unique26 ?
Unique (%)100.0%

Sample

1st row동구 평화로 52 (신암동, 2층)
2nd row동구 동촌로 159 (검사동,1층)
3rd row동구 동촌로56길 26 (방촌동, 2층)
4th row동구 율하동로26길 67 (서호동, 2층)
5th row동구 화랑로25길 25 (효목동, 2층)
ValueCountFrequency (%)
동구 26
20.8%
2층 12
 
9.6%
3층 5
 
4.0%
신암동 4
 
3.2%
방촌동 4
 
3.2%
효목동 3
 
2.4%
신천동 3
 
2.4%
서호동 2
 
1.6%
48 2
 
1.6%
21 2
 
1.6%
Other values (56) 62
49.6%
2024-03-15T11:29:42.193031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
99
17.6%
동 63
 
11.2%
로 28
 
5.0%
구 26
 
4.6%
) 26
 
4.6%
2 26
 
4.6%
( 26
 
4.6%
, 21
 
3.7%
1 21
 
3.7%
층 20
 
3.6%
Other values (62) 207
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 275
48.8%
Decimal Number 115
20.4%
Space Separator 99
 
17.6%
Close Punctuation 26
 
4.6%
Open Punctuation 26
 
4.6%
Other Punctuation 21
 
3.7%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 63
22.9%
로 28
 
10.2%
구 26
 
9.5%
층 20
 
7.3%
길 16
 
5.8%
신 14
 
5.1%
촌 8
 
2.9%
호 6
 
2.2%
효 6
 
2.2%
방 5
 
1.8%
Other values (47) 83
30.2%
Decimal Number
ValueCountFrequency (%)
2 26
22.6%
1 21
18.3%
3 18
15.7%
5 12
10.4%
4 9
 
7.8%
6 8
 
7.0%
8 7
 
6.1%
0 6
 
5.2%
9 5
 
4.3%
7 3
 
2.6%
Space Separator
ValueCountFrequency (%)
99
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Other Punctuation
ValueCountFrequency (%)
, 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 288
51.2%
Hangul 275
48.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 63
22.9%
로 28
 
10.2%
구 26
 
9.5%
층 20
 
7.3%
길 16
 
5.8%
신 14
 
5.1%
촌 8
 
2.9%
호 6
 
2.2%
효 6
 
2.2%
방 5
 
1.8%
Other values (47) 83
30.2%
Common
ValueCountFrequency (%)
99
34.4%
) 26
 
9.0%
2 26
 
9.0%
( 26
 
9.0%
, 21
 
7.3%
1 21
 
7.3%
3 18
 
6.2%
5 12
 
4.2%
4 9
 
3.1%
6 8
 
2.8%
Other values (5) 22
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 288
51.2%
Hangul 275
48.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
99
34.4%
) 26
 
9.0%
2 26
 
9.0%
( 26
 
9.0%
, 21
 
7.3%
1 21
 
7.3%
3 18
 
6.2%
5 12
 
4.2%
4 9
 
3.1%
6 8
 
2.8%
Other values (5) 22
 
7.6%
Hangul
ValueCountFrequency (%)
동 63
22.9%
로 28
 
10.2%
구 26
 
9.5%
층 20
 
7.3%
길 16
 
5.8%
신 14
 
5.1%
촌 8
 
2.9%
호 6
 
2.2%
효 6
 
2.2%
방 5
 
1.8%
Other values (47) 83
30.2%

전화번호
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size336.0 B
2024-03-15T11:29:42.981988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.076923
Min length12

Characters and Unicode

Total characters314
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

Unique26 ?
Unique (%)100.0%

Sample

1st row070-8716-8731
2nd row053-981-2521
3rd row053-983-3883
4th row053-963-3115
5th row053-958-0013
ValueCountFrequency (%)
070-8716-8731 1
 
3.8%
053-981-2521 1
 
3.8%
053-944-0007 1
 
3.8%
053-983-9361 1
 
3.8%
053-743-0636 1
 
3.8%
053-290-2308 1
 
3.8%
053-962-7977 1
 
3.8%
053-962-5491 1
 
3.8%
053-955-0053 1
 
3.8%
053-963-3772 1
 
3.8%
Other values (16) 16
61.5%
2024-03-15T11:29:44.213983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 52
16.6%
0 45
14.3%
3 41
13.1%
5 40
12.7%
9 35
11.1%
7 21
6.7%
4 17
 
5.4%
8 16
 
5.1%
1 16
 
5.1%
6 16
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 262
83.4%
Dash Punctuation 52
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 45
17.2%
3 41
15.6%
5 40
15.3%
9 35
13.4%
7 21
8.0%
4 17
 
6.5%
8 16
 
6.1%
1 16
 
6.1%
6 16
 
6.1%
2 15
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 314
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 52
16.6%
0 45
14.3%
3 41
13.1%
5 40
12.7%
9 35
11.1%
7 21
6.7%
4 17
 
5.4%
8 16
 
5.1%
1 16
 
5.1%
6 16
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 314
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 52
16.6%
0 45
14.3%
3 41
13.1%
5 40
12.7%
9 35
11.1%
7 21
6.7%
4 17
 
5.4%
8 16
 
5.1%
1 16
 
5.1%
6 16
 
5.1%

개소일자
Date

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size336.0 B
Minimum2005-02-07 00:00:00
Maximum2023-04-03 00:00:00
2024-03-15T11:29:44.438712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:29:44.643690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

Interactions

2024-03-15T11:29:34.313796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T11:29:44.811532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설명시설장소재지전화번호개소일자
연번1.0001.0001.0001.0001.0001.000
시설명1.0001.0001.0001.0001.0001.000
시설장1.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
개소일자1.0001.0001.0001.0001.0001.000

Missing values

2024-03-15T11:29:34.637655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T11:29:34.993740image/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

연번시설명시설장소재지전화번호개소일자
01DCU장*숙동구 평화로 52 (신암동, 2층)070-8716-87312006-02-02
12꿈터이*희동구 동촌로 159 (검사동,1층)053-981-25212010-06-30
23늘푸른강*주동구 동촌로56길 26 (방촌동, 2층)053-983-38832013-01-10
34동구김*경동구 율하동로26길 67 (서호동, 2층)053-963-31152005-04-13
45동대구이*영동구 화랑로25길 25 (효목동, 2층)053-958-00132006-11-27
56무지개전*숙동구 동촌로48길 32, 1층 (방촌동)070-4196-91922011-06-17
67반야월주*정동구 경안로105길 48 (서호동, 2층)053-291-74882005-02-07
78불로장*희동구 팔공로36길 13-3 (불로동)053-982-91882009-02-09
89비전스쿨임*규동구 효동로1길 21 (효목동)053-951-08472009-11-27
910솔로몬홍*일동구 메디밸리로 19 (대동빌딩 3층 305호)053-965-65592020-06-01
연번시설명시설장소재지전화번호개소일자
1617신천김*영동구 송라로 31 (신천동, 2층)053-746-09792009-05-29
1718안심김*희동구 율하동로24길 14(신기동, 천일맨션 2층)053-963-37722013-08-28
1819어울안*현동구 신성로 60 (신암동, 강남아파트 103동 상가201호)053-955-00532009-04-15
1920예만성*주동구 화랑로 429, (방촌동, 3층)053-962-54912007-02-01
2021즐거운임*화동구 반야월북로 153 (각산동,성지비둘기상가 2층)053-962-79772009-01-12
2122채울정*란동구 동호로11길 25 (신서동, 3층)053-290-23082015-05-26
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