Overview

Dataset statistics

Number of variables6
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory53.0 B

Variable types

Categorical2
Text3
Numeric1

Dataset

Description방과후 돌봄이 필요한 지역사회 아동의 건전육성을 위하여 보호,교육, 건전한 놀이와 오락의 제공, 보호자와 지역사회 연계 등 종합적인 복지서비스 제공기관으로 지역아동센터명, 소재지, 정원(명), 전화번호를 포함하고 있습니다.
URLhttps://www.data.go.kr/data/3072032/fileData.do

Alerts

지역아동센터명 has unique valuesUnique
소재지 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:19:26.016574
Analysis finished2023-12-12 14:19:26.531993
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct4
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
개인
17 
사회적 협동조합
14 
복지법인
 
1
종교법인
 
1

Length

Max length8
Median length2
Mean length4.6666667
Min length2

Unique

Unique2 ?
Unique (%)6.1%

Sample

1st row개인
2nd row복지법인
3rd row개인
4th row개인
5th row종교법인

Common Values

ValueCountFrequency (%)
개인 17
51.5%
사회적 협동조합 14
42.4%
복지법인 1
 
3.0%
종교법인 1
 
3.0%

Length

2023-12-12T23:19:26.590672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:19:26.693653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 17
36.2%
사회적 14
29.8%
협동조합 14
29.8%
복지법인 1
 
2.1%
종교법인 1
 
2.1%

지역아동센터명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T23:19:26.885049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length2
Mean length2.7575758
Min length2

Characters and Unicode

Total characters91
Distinct characters69
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

Unique33 ?
Unique (%)100.0%

Sample

1st row가나
2nd row경운행복한홈스쿨
3rd row꿀벌
4th row꿈도리
5th row꿈이있는집
ValueCountFrequency (%)
가나 1
 
3.0%
비산 1
 
3.0%
화랑 1
 
3.0%
햇살 1
 
3.0%
해나라 1
 
3.0%
푸른꿈 1
 
3.0%
평리 1
 
3.0%
트리니티 1
 
3.0%
인재 1
 
3.0%
은하수 1
 
3.0%
Other values (23) 23
69.7%
2023-12-12T23:19:27.242134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 4
 
4.4%
꿈 4
 
4.4%
리 4
 
4.4%
이 3
 
3.3%
나 3
 
3.3%
스 3
 
3.3%
서 2
 
2.2%
랑 2
 
2.2%
트 2
 
2.2%
쿨 2
 
2.2%
Other values (59) 62
68.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 91
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 4
 
4.4%
꿈 4
 
4.4%
리 4
 
4.4%
이 3
 
3.3%
나 3
 
3.3%
스 3
 
3.3%
서 2
 
2.2%
랑 2
 
2.2%
트 2
 
2.2%
쿨 2
 
2.2%
Other values (59) 62
68.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 91
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 4
 
4.4%
꿈 4
 
4.4%
리 4
 
4.4%
이 3
 
3.3%
나 3
 
3.3%
스 3
 
3.3%
서 2
 
2.2%
랑 2
 
2.2%
트 2
 
2.2%
쿨 2
 
2.2%
Other values (59) 62
68.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 91
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 4
 
4.4%
꿈 4
 
4.4%
리 4
 
4.4%
이 3
 
3.3%
나 3
 
3.3%
스 3
 
3.3%
서 2
 
2.2%
랑 2
 
2.2%
트 2
 
2.2%
쿨 2
 
2.2%
Other values (59) 62
68.1%

소재지
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T23:19:27.507382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length31
Mean length26.969697
Min length22

Characters and Unicode

Total characters890
Distinct characters63
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

Unique33 ?
Unique (%)100.0%

Sample

1st row대구광역시 서구 국채보상로38길 27, 3층(평리동)
2nd row대구광역시 서구 서대구로11길 38 (내당동)
3rd row대구광역시 서구 통학로 182 (평리동)
4th row대구광역시 서구 달서로26길 13 (비산동)
5th row대구광역시 서구 염색공단로5길 15 (비산동)
ValueCountFrequency (%)
대구광역시 33
19.2%
서구 33
19.2%
평리동 11
 
6.4%
비산동 8
 
4.7%
내당동 5
 
2.9%
2층 3
 
1.7%
국채보상로 2
 
1.2%
평리로 2
 
1.2%
국채보상로34길 2
 
1.2%
36 2
 
1.2%
Other values (70) 71
41.3%
2023-12-12T23:19:27.944650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
139
 
15.6%
구 70
 
7.9%
서 40
 
4.5%
1 40
 
4.5%
대 39
 
4.4%
동 34
 
3.8%
) 33
 
3.7%
광 33
 
3.7%
역 33
 
3.7%
시 33
 
3.7%
Other values (53) 396
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 514
57.8%
Decimal Number 150
 
16.9%
Space Separator 139
 
15.6%
Close Punctuation 33
 
3.7%
Open Punctuation 33
 
3.7%
Other Punctuation 14
 
1.6%
Dash Punctuation 7
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 70
13.6%
서 40
 
7.8%
대 39
 
7.6%
동 34
 
6.6%
광 33
 
6.4%
역 33
 
6.4%
시 33
 
6.4%
로 33
 
6.4%
길 24
 
4.7%
리 22
 
4.3%
Other values (37) 153
29.8%
Decimal Number
ValueCountFrequency (%)
1 40
26.7%
3 20
13.3%
2 20
13.3%
6 18
12.0%
5 16
 
10.7%
4 10
 
6.7%
0 8
 
5.3%
8 8
 
5.3%
7 7
 
4.7%
9 3
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 13
92.9%
/ 1
 
7.1%
Space Separator
ValueCountFrequency (%)
139
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 514
57.8%
Common 376
42.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 70
13.6%
서 40
 
7.8%
대 39
 
7.6%
동 34
 
6.6%
광 33
 
6.4%
역 33
 
6.4%
시 33
 
6.4%
로 33
 
6.4%
길 24
 
4.7%
리 22
 
4.3%
Other values (37) 153
29.8%
Common
ValueCountFrequency (%)
139
37.0%
1 40
 
10.6%
) 33
 
8.8%
( 33
 
8.8%
3 20
 
5.3%
2 20
 
5.3%
6 18
 
4.8%
5 16
 
4.3%
, 13
 
3.5%
4 10
 
2.7%
Other values (6) 34
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 514
57.8%
ASCII 376
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
139
37.0%
1 40
 
10.6%
) 33
 
8.8%
( 33
 
8.8%
3 20
 
5.3%
2 20
 
5.3%
6 18
 
4.8%
5 16
 
4.3%
, 13
 
3.5%
4 10
 
2.7%
Other values (6) 34
 
9.0%
Hangul
ValueCountFrequency (%)
구 70
13.6%
서 40
 
7.8%
대 39
 
7.6%
동 34
 
6.6%
광 33
 
6.4%
역 33
 
6.4%
시 33
 
6.4%
로 33
 
6.4%
길 24
 
4.7%
리 22
 
4.3%
Other values (37) 153
29.8%

법정동
Categorical

Distinct16
Distinct (%)48.5%
Missing0
Missing (%)0.0%
Memory size396.0 B
평리4동
4 
내당4동
4 
평리3동
4 
상중이동
3 
평리1동
2 
Other values (11)
16 

Length

Max length6
Median length4
Mean length4.0606061
Min length3

Unique

Unique6 ?
Unique (%)18.2%

Sample

1st row평리4동
2nd row내당4동
3rd row평리1동
4th row비산2,3동
5th row비산7동

Common Values

ValueCountFrequency (%)
평리4동 4
12.1%
내당4동 4
12.1%
평리3동 4
12.1%
상중이동 3
9.1%
평리1동 2
 
6.1%
비산6동 2
 
6.1%
평리2동 2
 
6.1%
원대동 2
 
6.1%
비산1동 2
 
6.1%
비산4동 2
 
6.1%
Other values (6) 6
18.2%

Length

2023-12-12T23:19:28.120499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
평리4동 4
12.1%
내당4동 4
12.1%
평리3동 4
12.1%
상중이동 3
9.1%
평리1동 2
 
6.1%
비산6동 2
 
6.1%
평리2동 2
 
6.1%
원대동 2
 
6.1%
비산1동 2
 
6.1%
비산4동 2
 
6.1%
Other values (6) 6
18.2%

정원
Real number (ℝ)

Distinct11
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.030303
Minimum19
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-12T23:19:28.248065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile25
Q129
median29
Q332
95-th percentile36.8
Maximum39
Range20
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.9566783
Coefficient of variation (CV)0.13175619
Kurtosis1.3475434
Mean30.030303
Median Absolute Deviation (MAD)0
Skewness0.056634741
Sum991
Variance15.655303
MonotonicityNot monotonic
2023-12-12T23:19:28.393323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
29 18
54.5%
25 2
 
6.1%
32 2
 
6.1%
26 2
 
6.1%
34 2
 
6.1%
35 2
 
6.1%
39 1
 
3.0%
36 1
 
3.0%
38 1
 
3.0%
33 1
 
3.0%
ValueCountFrequency (%)
19 1
 
3.0%
25 2
 
6.1%
26 2
 
6.1%
29 18
54.5%
32 2
 
6.1%
33 1
 
3.0%
34 2
 
6.1%
35 2
 
6.1%
36 1
 
3.0%
38 1
 
3.0%
ValueCountFrequency (%)
39 1
 
3.0%
38 1
 
3.0%
36 1
 
3.0%
35 2
 
6.1%
34 2
 
6.1%
33 1
 
3.0%
32 2
 
6.1%
29 18
54.5%
26 2
 
6.1%
25 2
 
6.1%

전화번호
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T23:19:28.706970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.181818
Min length12

Characters and Unicode

Total characters402
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

Unique33 ?
Unique (%)100.0%

Sample

1st row053-522-5238
2nd row053-526-2186
3rd row053-551-8066
4th row070-8722-6871
5th row053-357-9195
ValueCountFrequency (%)
053-522-5238 1
 
3.0%
053-353-0691 1
 
3.0%
053-556-7696 1
 
3.0%
053-286-5375 1
 
3.0%
053-573-2354 1
 
3.0%
053-566-7141 1
 
3.0%
053-524-6675 1
 
3.0%
070-8299-8599 1
 
3.0%
053-555-2778 1
 
3.0%
053-559-9929 1
 
3.0%
Other values (23) 23
69.7%
2023-12-12T23:19:29.140648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 70
17.4%
- 66
16.4%
3 55
13.7%
0 51
12.7%
7 32
8.0%
2 31
7.7%
6 25
 
6.2%
8 24
 
6.0%
9 23
 
5.7%
1 14
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 336
83.6%
Dash Punctuation 66
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 70
20.8%
3 55
16.4%
0 51
15.2%
7 32
9.5%
2 31
9.2%
6 25
 
7.4%
8 24
 
7.1%
9 23
 
6.8%
1 14
 
4.2%
4 11
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 402
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 70
17.4%
- 66
16.4%
3 55
13.7%
0 51
12.7%
7 32
8.0%
2 31
7.7%
6 25
 
6.2%
8 24
 
6.0%
9 23
 
5.7%
1 14
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 402
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 70
17.4%
- 66
16.4%
3 55
13.7%
0 51
12.7%
7 32
8.0%
2 31
7.7%
6 25
 
6.2%
8 24
 
6.0%
9 23
 
5.7%
1 14
 
3.5%

Interactions

2023-12-12T23:19:26.265091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:19:29.242910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분지역아동센터명소재지법정동정원전화번호
구분1.0001.0001.0000.7020.3181.000
지역아동센터명1.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.000
법정동0.7021.0001.0001.0000.4121.000
정원0.3181.0001.0000.4121.0001.000
전화번호1.0001.0001.0001.0001.0001.000
2023-12-12T23:19:29.353729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정동구분
법정동1.0000.285
구분0.2851.000
2023-12-12T23:19:29.459276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정원구분법정동
정원1.0000.1270.161
구분0.1271.0000.285
법정동0.1610.2851.000

Missing values

2023-12-12T23:19:26.401368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:19:26.498647image/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

구분지역아동센터명소재지법정동정원전화번호
0개인가나대구광역시 서구 국채보상로38길 27, 3층(평리동)평리4동25053-522-5238
1복지법인경운행복한홈스쿨대구광역시 서구 서대구로11길 38 (내당동)내당4동29053-526-2186
2개인꿀벌대구광역시 서구 통학로 182 (평리동)평리1동29053-551-8066
3개인꿈도리대구광역시 서구 달서로26길 13 (비산동)비산2,3동29070-8722-6871
4종교법인꿈이있는집대구광역시 서구 염색공단로5길 15 (비산동)비산7동39053-357-9195
5개인꿈쟁이대구광역시 서구 서대구로44길 31-1 (평리동)평리3동29070-7792-8883
6개인나눔대구광역시 서구 국채보상로67길 34, 1층(비산동)비산6동29053-571-2010
7개인내당대구광역시 서구 서대구로8길 42 (내당동)내당1동29070-4236-0667
8사회적 협동조합달서대구광역시 서구 국채보상로34길 12,중리롯데캐슬상가 413호 (상중이동)상중이동29053-553-6987
9사회적 협동조합대광대구광역시 서구 국채보상로52길 60 (평리동)평리4동29053-522-3379
구분지역아동센터명소재지법정동정원전화번호
23사회적 협동조합온누리대구광역시 서구 국채보상로57길 31, 2층 (평리동)평리3동29053-286-8338
24개인은하수대구광역시 서구 평리로 379 (평리동)평리2동26053-559-9929
25개인인재대구광역시 서구 문화로 321-1 (비산동)비산6동32053-555-2778
26개인트리니티대구광역시 서구 서대구로3길 69 (내당동)내당4동29070-8299-8599
27개인평리대구광역시 서구 통학로46길 36, 2층(평리동)평리1동29053-524-6675
28사회적 협동조합푸른꿈대구광역시 서구 통학로 191-1 (평리동)평리3동29053-566-7141
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30개인햇살대구광역시 서구 국채보상로 165 (평리동)평리5동29053-286-5375
31개인화랑대구광역시 서구 국채보상로34길 12, 116동 106호(중리동, 중리롯데캐슬)상중이동29053-556-7696
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