Overview

Dataset statistics

Number of variables27
Number of observations188
Missing cells762
Missing cells (%)15.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory42.4 KiB
Average record size in memory230.7 B

Variable types

Categorical6
Numeric11
Text5
Boolean1
DateTime1
Unsupported3

Dataset

Description대구광역시_달성군_어린이집_20190920
Author대구광역시 달성군
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15008621&dataSetDetailId=150086212d1dcbd60a69b_201909271026&provdMethod=FILE

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
운영현황 has constant value ""Constant
데이터기준일자 has constant value ""Constant
제공서비스 is highly imbalanced (70.8%)Imbalance
어린이집팩스번호 has 39 (20.7%) missing valuesMissing
홈페이지주소 has 159 (84.6%) missing valuesMissing
휴지시작일자 has 188 (100.0%) missing valuesMissing
휴지종료일자 has 188 (100.0%) missing valuesMissing
폐지일자 has 188 (100.0%) missing valuesMissing
어린이집코드 has unique valuesUnique
어린이집명 has unique valuesUnique
어린이집전화번호 has unique valuesUnique
휴지시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴지종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐지일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이터수 has 65 (34.6%) zerosZeros

Reproduction

Analysis started2024-04-21 08:21:02.560946
Analysis finished2024-04-21 08:21:03.280767
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
대구광역시
188 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 188
100.0%

Length

2024-04-21T17:21:03.474737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:21:03.782871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 188
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
달성군
188 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
달성군 188
100.0%

Length

2024-04-21T17:21:04.106504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:21:04.408919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
달성군 188
100.0%

어린이집코드
Real number (ℝ)

UNIQUE 

Distinct188
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.771 × 1010
Minimum2.771 × 1010
Maximum2.771 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-21T17:21:04.747300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.771 × 1010
5-th percentile2.771 × 1010
Q12.771 × 1010
median2.771 × 1010
Q32.771 × 1010
95-th percentile2.771 × 1010
Maximum2.771 × 1010
Range253
Interquartile range (IQR)142

Descriptive statistics

Standard deviation78.742895
Coefficient of variation (CV)2.8416779 × 10-9
Kurtosis-1.4151125
Mean2.771 × 1010
Median Absolute Deviation (MAD)73.5
Skewness-0.090569213
Sum5.20948 × 1012
Variance6200.4435
MonotonicityNot monotonic
2024-04-21T17:21:05.199520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27710000250 1
 
0.5%
27710000128 1
 
0.5%
27710000237 1
 
0.5%
27710000050 1
 
0.5%
27710000051 1
 
0.5%
27710000027 1
 
0.5%
27710000187 1
 
0.5%
27710000238 1
 
0.5%
27710000247 1
 
0.5%
27710000012 1
 
0.5%
Other values (178) 178
94.7%
ValueCountFrequency (%)
27710000002 1
0.5%
27710000004 1
0.5%
27710000005 1
0.5%
27710000006 1
0.5%
27710000007 1
0.5%
27710000008 1
0.5%
27710000009 1
0.5%
27710000010 1
0.5%
27710000012 1
0.5%
27710000013 1
0.5%
ValueCountFrequency (%)
27710000255 1
0.5%
27710000254 1
0.5%
27710000253 1
0.5%
27710000252 1
0.5%
27710000251 1
0.5%
27710000250 1
0.5%
27710000249 1
0.5%
27710000248 1
0.5%
27710000247 1
0.5%
27710000246 1
0.5%

어린이집명
Text

UNIQUE 

Distinct188
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-21T17:21:05.978363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length7.712766
Min length6

Characters and Unicode

Total characters1450
Distinct characters223
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique188 ?
Unique (%)100.0%

Sample

1st rowDGIST직장어린이집
2nd row가온누리어린이집
3rd row가창어린이집
4th row강림어린이집
5th row강창리더스어린이집
ValueCountFrequency (%)
어린이집 10
 
5.0%
청아람어린이집 2
 
1.0%
dgist직장어린이집 1
 
0.5%
죽곡아이세상어린이집 1
 
0.5%
이튼어린이집 1
 
0.5%
카이스트어린이집 1
 
0.5%
이화어린이집 1
 
0.5%
일동미라주더파크어린이집 1
 
0.5%
임마누엘어린이집 1
 
0.5%
자연과학어린이집 1
 
0.5%
Other values (180) 180
90.0%
2024-04-21T17:21:07.263167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 225
15.5%
린 197
 
13.6%
어 188
 
13.0%
집 188
 
13.0%
아 41
 
2.8%
스 14
 
1.0%
12
 
0.8%
미 12
 
0.8%
사 12
 
0.8%
화 11
 
0.8%
Other values (213) 550
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1426
98.3%
Space Separator 12
 
0.8%
Uppercase Letter 10
 
0.7%
Dash Punctuation 1
 
0.1%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 225
15.8%
린 197
 
13.8%
어 188
 
13.2%
집 188
 
13.2%
아 41
 
2.9%
스 14
 
1.0%
미 12
 
0.8%
사 12
 
0.8%
화 11
 
0.8%
동 11
 
0.8%
Other values (203) 527
37.0%
Uppercase Letter
ValueCountFrequency (%)
I 3
30.0%
S 2
20.0%
D 1
 
10.0%
H 1
 
10.0%
W 1
 
10.0%
T 1
 
10.0%
G 1
 
10.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1426
98.3%
Common 14
 
1.0%
Latin 10
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 225
15.8%
린 197
 
13.8%
어 188
 
13.2%
집 188
 
13.2%
아 41
 
2.9%
스 14
 
1.0%
미 12
 
0.8%
사 12
 
0.8%
화 11
 
0.8%
동 11
 
0.8%
Other values (203) 527
37.0%
Latin
ValueCountFrequency (%)
I 3
30.0%
S 2
20.0%
D 1
 
10.0%
H 1
 
10.0%
W 1
 
10.0%
T 1
 
10.0%
G 1
 
10.0%
Common
ValueCountFrequency (%)
12
85.7%
- 1
 
7.1%
3 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1426
98.3%
ASCII 24
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 225
15.8%
린 197
 
13.8%
어 188
 
13.2%
집 188
 
13.2%
아 41
 
2.9%
스 14
 
1.0%
미 12
 
0.8%
사 12
 
0.8%
화 11
 
0.8%
동 11
 
0.8%
Other values (203) 527
37.0%
ASCII
ValueCountFrequency (%)
12
50.0%
I 3
 
12.5%
S 2
 
8.3%
D 1
 
4.2%
H 1
 
4.2%
W 1
 
4.2%
- 1
 
4.2%
T 1
 
4.2%
3 1
 
4.2%
G 1
 
4.2%

어린이집유형구분
Categorical

Distinct6
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
민간
82 
가정
64 
국공립
24 
사회복지법인
13 
직장
 
4

Length

Max length6
Median length2
Mean length2.4042553
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row직장
2nd row가정
3rd row사회복지법인
4th row국공립
5th row민간

Common Values

ValueCountFrequency (%)
민간 82
43.6%
가정 64
34.0%
국공립 24
 
12.8%
사회복지법인 13
 
6.9%
직장 4
 
2.1%
협동 1
 
0.5%

Length

2024-04-21T17:21:07.510252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:21:07.726561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간 82
43.6%
가정 64
34.0%
국공립 24
 
12.8%
사회복지법인 13
 
6.9%
직장 4
 
2.1%
협동 1
 
0.5%

운영현황
Boolean

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size316.0 B
True
188 
ValueCountFrequency (%)
True 188
100.0%
2024-04-21T17:21:07.906047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

우편번호
Real number (ℝ)

Distinct60
Distinct (%)31.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42956.851
Minimum42902
Maximum43019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-21T17:21:08.110932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42902
5-th percentile42909.35
Q142922
median42957.5
Q342985.25
95-th percentile43016
Maximum43019
Range117
Interquartile range (IQR)63.25

Descriptive statistics

Standard deviation36.618413
Coefficient of variation (CV)0.0008524464
Kurtosis-1.2925474
Mean42956.851
Median Absolute Deviation (MAD)34
Skewness0.2776174
Sum8075888
Variance1340.9082
MonotonicityNot monotonic
2024-04-21T17:21:08.374993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42995 11
 
5.9%
42927 9
 
4.8%
43019 9
 
4.8%
42979 8
 
4.3%
43016 7
 
3.7%
42915 6
 
3.2%
42929 6
 
3.2%
42974 6
 
3.2%
42930 5
 
2.7%
42919 5
 
2.7%
Other values (50) 116
61.7%
ValueCountFrequency (%)
42902 1
 
0.5%
42908 5
2.7%
42909 4
2.1%
42910 2
 
1.1%
42911 1
 
0.5%
42912 2
 
1.1%
42913 3
1.6%
42914 4
2.1%
42915 6
3.2%
42917 2
 
1.1%
ValueCountFrequency (%)
43019 9
4.8%
43016 7
3.7%
43015 3
 
1.6%
43014 2
 
1.1%
43010 3
 
1.6%
43009 3
 
1.6%
43008 3
 
1.6%
43005 1
 
0.5%
42997 1
 
0.5%
42996 2
 
1.1%

상세주소
Text

Distinct187
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-21T17:21:09.257582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length44
Mean length32.87234
Min length17

Characters and Unicode

Total characters6180
Distinct characters207
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique186 ?
Unique (%)98.9%

Sample

1st row대구광역시 달성군 현풍읍 테크노중앙대로 333 비슬빌리지 302동 1층
2nd row대구광역시 달성군 다사읍 세천로 160 104동 105호 (북죽곡엠코타운더솔레뉴)
3rd row대구광역시 달성군 가창면 퇴계길 5
4th row대구광역시 달성군 옥포면 돌미로 51 천년나무2단지
5th row대구광역시 달성군 달구벌대로 814 강창하이츠 단지내
ValueCountFrequency (%)
대구광역시 188
 
15.7%
달성군 188
 
15.7%
다사읍 72
 
6.0%
화원읍 28
 
2.3%
유가면 18
 
1.5%
현풍면 15
 
1.3%
논공읍 13
 
1.1%
옥포면 12
 
1.0%
대실역남로 9
 
0.8%
구지면 8
 
0.7%
Other values (365) 645
53.9%
2024-04-21T17:21:10.392694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1008
 
16.3%
1 266
 
4.3%
대 254
 
4.1%
구 221
 
3.6%
역 217
 
3.5%
성 205
 
3.3%
시 200
 
3.2%
달 197
 
3.2%
광 189
 
3.1%
군 188
 
3.0%
Other values (197) 3235
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3946
63.9%
Decimal Number 1051
 
17.0%
Space Separator 1008
 
16.3%
Open Punctuation 55
 
0.9%
Close Punctuation 55
 
0.9%
Dash Punctuation 26
 
0.4%
Other Punctuation 19
 
0.3%
Uppercase Letter 18
 
0.3%
Lowercase Letter 1
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 254
 
6.4%
구 221
 
5.6%
역 217
 
5.5%
성 205
 
5.2%
시 200
 
5.1%
달 197
 
5.0%
광 189
 
4.8%
군 188
 
4.8%
로 173
 
4.4%
읍 118
 
3.0%
Other values (172) 1984
50.3%
Decimal Number
ValueCountFrequency (%)
1 266
25.3%
0 180
17.1%
2 150
14.3%
3 100
 
9.5%
5 95
 
9.0%
4 78
 
7.4%
7 59
 
5.6%
6 54
 
5.1%
9 37
 
3.5%
8 32
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
L 6
33.3%
H 6
33.3%
S 2
 
11.1%
T 1
 
5.6%
C 1
 
5.6%
E 1
 
5.6%
A 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 12
63.2%
/ 7
36.8%
Space Separator
ValueCountFrequency (%)
1008
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3946
63.9%
Common 2215
35.8%
Latin 19
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 254
 
6.4%
구 221
 
5.6%
역 217
 
5.5%
성 205
 
5.2%
시 200
 
5.1%
달 197
 
5.0%
광 189
 
4.8%
군 188
 
4.8%
로 173
 
4.4%
읍 118
 
3.0%
Other values (172) 1984
50.3%
Common
ValueCountFrequency (%)
1008
45.5%
1 266
 
12.0%
0 180
 
8.1%
2 150
 
6.8%
3 100
 
4.5%
5 95
 
4.3%
4 78
 
3.5%
7 59
 
2.7%
( 55
 
2.5%
) 55
 
2.5%
Other values (7) 169
 
7.6%
Latin
ValueCountFrequency (%)
L 6
31.6%
H 6
31.6%
S 2
 
10.5%
T 1
 
5.3%
e 1
 
5.3%
C 1
 
5.3%
E 1
 
5.3%
A 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3946
63.9%
ASCII 2234
36.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1008
45.1%
1 266
 
11.9%
0 180
 
8.1%
2 150
 
6.7%
3 100
 
4.5%
5 95
 
4.3%
4 78
 
3.5%
7 59
 
2.6%
( 55
 
2.5%
) 55
 
2.5%
Other values (15) 188
 
8.4%
Hangul
ValueCountFrequency (%)
대 254
 
6.4%
구 221
 
5.6%
역 217
 
5.5%
성 205
 
5.2%
시 200
 
5.1%
달 197
 
5.0%
광 189
 
4.8%
군 188
 
4.8%
로 173
 
4.4%
읍 118
 
3.0%
Other values (172) 1984
50.3%

어린이집전화번호
Text

UNIQUE 

Distinct188
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-21T17:21:11.255800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.010638
Min length12

Characters and Unicode

Total characters2258
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

Unique188 ?
Unique (%)100.0%

Sample

1st row070-4145-2018
2nd row053-586-1050
3rd row053-767-3444
4th row053-617-9801
5th row053-587-0300
ValueCountFrequency (%)
070-4145-2018 1
 
0.5%
053-585-5432 1
 
0.5%
053-582-0995 1
 
0.5%
053-615-2120 1
 
0.5%
053-617-9669 1
 
0.5%
053-642-5919 1
 
0.5%
053-611-4800 1
 
0.5%
053-586-5018 1
 
0.5%
053-621-1617 1
 
0.5%
053-615-1313 1
 
0.5%
Other values (178) 178
94.7%
2024-04-21T17:21:12.333440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 376
16.7%
5 371
16.4%
0 308
13.6%
3 277
12.3%
1 190
8.4%
6 181
8.0%
8 144
 
6.4%
4 110
 
4.9%
7 107
 
4.7%
2 98
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1882
83.3%
Dash Punctuation 376
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 371
19.7%
0 308
16.4%
3 277
14.7%
1 190
10.1%
6 181
9.6%
8 144
 
7.7%
4 110
 
5.8%
7 107
 
5.7%
2 98
 
5.2%
9 96
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 376
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2258
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 376
16.7%
5 371
16.4%
0 308
13.6%
3 277
12.3%
1 190
8.4%
6 181
8.0%
8 144
 
6.4%
4 110
 
4.9%
7 107
 
4.7%
2 98
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2258
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 376
16.7%
5 371
16.4%
0 308
13.6%
3 277
12.3%
1 190
8.4%
6 181
8.0%
8 144
 
6.4%
4 110
 
4.9%
7 107
 
4.7%
2 98
 
4.3%

어린이집팩스번호
Text

MISSING 

Distinct149
Distinct (%)100.0%
Missing39
Missing (%)20.7%
Memory size1.6 KiB
2024-04-21T17:21:13.232188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1788
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

Unique149 ?
Unique (%)100.0%

Sample

1st row053-586-1050
2nd row053-768-0759
3rd row053-617-9802
4th row053-261-3244
5th row053-614-6632
ValueCountFrequency (%)
053-616-1644 1
 
0.7%
053-581-0165 1
 
0.7%
053-259-1005 1
 
0.7%
053-615-1314 1
 
0.7%
053-584-3000 1
 
0.7%
053-585-1619 1
 
0.7%
053-587-6874 1
 
0.7%
053-582-0590 1
 
0.7%
053-584-8911 1
 
0.7%
053-585-3025 1
 
0.7%
Other values (139) 139
93.3%
2024-04-21T17:21:14.337301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 298
16.7%
5 285
15.9%
0 230
12.9%
3 219
12.2%
1 161
9.0%
6 152
8.5%
8 126
7.0%
4 96
 
5.4%
2 79
 
4.4%
9 76
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1490
83.3%
Dash Punctuation 298
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 285
19.1%
0 230
15.4%
3 219
14.7%
1 161
10.8%
6 152
10.2%
8 126
8.5%
4 96
 
6.4%
2 79
 
5.3%
9 76
 
5.1%
7 66
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 298
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1788
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 298
16.7%
5 285
15.9%
0 230
12.9%
3 219
12.2%
1 161
9.0%
6 152
8.5%
8 126
7.0%
4 96
 
5.4%
2 79
 
4.4%
9 76
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1788
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 298
16.7%
5 285
15.9%
0 230
12.9%
3 219
12.2%
1 161
9.0%
6 152
8.5%
8 126
7.0%
4 96
 
5.4%
2 79
 
4.4%
9 76
 
4.3%

홈페이지주소
Text

MISSING 

Distinct29
Distinct (%)100.0%
Missing159
Missing (%)84.6%
Memory size1.6 KiB
2024-04-21T17:21:15.043998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length25
Mean length21.413793
Min length10

Characters and Unicode

Total characters621
Distinct characters63
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st rowhttp://cafe-daum-net/kidsgch3444
2nd rowhttp://cafe-daum-net/kanglimdaegu
3rd rowhttp://biog-daum-net/leaders0300
4th rowmami2402hanmail-net
5th rowdreamland1346
ValueCountFrequency (%)
http://cafe-daum-net/kidsgch3444 1
 
3.2%
sol-gongdong-or-kr 1
 
3.2%
카페:햇살조은어린이집 1
 
3.2%
네이버 1
 
3.2%
http://cafe-daum-net/5865856 1
 
3.2%
m2m0712@nate-com 1
 
3.2%
http://cafe-daum-net/punggyeongchaeprime 1
 
3.2%
http://cafe-daum-net/dasakids7080 1
 
3.2%
다사초록마을어린이집 1
 
3.2%
happyhouse0117@daum-co-kr 1
 
3.2%
Other values (21) 21
67.7%
2024-04-21T17:21:15.985953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 43
 
6.9%
a 42
 
6.8%
n 35
 
5.6%
e 34
 
5.5%
t 33
 
5.3%
/ 31
 
5.0%
o 30
 
4.8%
m 28
 
4.5%
d 25
 
4.0%
c 23
 
3.7%
Other values (53) 297
47.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 420
67.6%
Decimal Number 65
 
10.5%
Other Punctuation 48
 
7.7%
Dash Punctuation 43
 
6.9%
Other Letter 43
 
6.9%
Space Separator 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 5
 
11.6%
어 4
 
9.3%
린 4
 
9.3%
집 4
 
9.3%
다 3
 
7.0%
페 2
 
4.7%
카 2
 
4.7%
사 2
 
4.7%
록 1
 
2.3%
햇 1
 
2.3%
Other values (15) 15
34.9%
Lowercase Letter
ValueCountFrequency (%)
a 42
 
10.0%
n 35
 
8.3%
e 34
 
8.1%
t 33
 
7.9%
o 30
 
7.1%
m 28
 
6.7%
d 25
 
6.0%
c 23
 
5.5%
h 21
 
5.0%
u 17
 
4.0%
Other values (13) 132
31.4%
Decimal Number
ValueCountFrequency (%)
0 11
16.9%
1 8
12.3%
5 8
12.3%
2 7
10.8%
7 7
10.8%
4 7
10.8%
6 6
9.2%
8 4
 
6.2%
3 4
 
6.2%
9 3
 
4.6%
Other Punctuation
ValueCountFrequency (%)
/ 31
64.6%
: 11
 
22.9%
@ 6
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 420
67.6%
Common 158
 
25.4%
Hangul 43
 
6.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 5
 
11.6%
어 4
 
9.3%
린 4
 
9.3%
집 4
 
9.3%
다 3
 
7.0%
페 2
 
4.7%
카 2
 
4.7%
사 2
 
4.7%
록 1
 
2.3%
햇 1
 
2.3%
Other values (15) 15
34.9%
Latin
ValueCountFrequency (%)
a 42
 
10.0%
n 35
 
8.3%
e 34
 
8.1%
t 33
 
7.9%
o 30
 
7.1%
m 28
 
6.7%
d 25
 
6.0%
c 23
 
5.5%
h 21
 
5.0%
u 17
 
4.0%
Other values (13) 132
31.4%
Common
ValueCountFrequency (%)
- 43
27.2%
/ 31
19.6%
: 11
 
7.0%
0 11
 
7.0%
1 8
 
5.1%
5 8
 
5.1%
2 7
 
4.4%
7 7
 
4.4%
4 7
 
4.4%
6 6
 
3.8%
Other values (5) 19
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 578
93.1%
Hangul 43
 
6.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 43
 
7.4%
a 42
 
7.3%
n 35
 
6.1%
e 34
 
5.9%
t 33
 
5.7%
/ 31
 
5.4%
o 30
 
5.2%
m 28
 
4.8%
d 25
 
4.3%
c 23
 
4.0%
Other values (28) 254
43.9%
Hangul
ValueCountFrequency (%)
이 5
 
11.6%
어 4
 
9.3%
린 4
 
9.3%
집 4
 
9.3%
다 3
 
7.0%
페 2
 
4.7%
카 2
 
4.7%
사 2
 
4.7%
록 1
 
2.3%
햇 1
 
2.3%
Other values (15) 15
34.9%

보육실수
Real number (ℝ)

Distinct12
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2606383
Minimum2
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-21T17:21:16.191491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median5
Q36.25
95-th percentile9
Maximum15
Range13
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation2.2159228
Coefficient of variation (CV)0.42122699
Kurtosis1.7011096
Mean5.2606383
Median Absolute Deviation (MAD)1
Skewness1.195033
Sum989
Variance4.910314
MonotonicityNot monotonic
2024-04-21T17:21:16.392873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3 45
23.9%
4 43
22.9%
5 28
14.9%
6 24
12.8%
7 16
 
8.5%
8 13
 
6.9%
9 9
 
4.8%
10 6
 
3.2%
2 1
 
0.5%
11 1
 
0.5%
Other values (2) 2
 
1.1%
ValueCountFrequency (%)
2 1
 
0.5%
3 45
23.9%
4 43
22.9%
5 28
14.9%
6 24
12.8%
7 16
 
8.5%
8 13
 
6.9%
9 9
 
4.8%
10 6
 
3.2%
11 1
 
0.5%
ValueCountFrequency (%)
15 1
 
0.5%
13 1
 
0.5%
11 1
 
0.5%
10 6
 
3.2%
9 9
 
4.8%
8 13
 
6.9%
7 16
 
8.5%
6 24
12.8%
5 28
14.9%
4 43
22.9%

보육실 면적
Real number (ℝ)

Distinct126
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean173.70745
Minimum48
Maximum556
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-21T17:21:16.616806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48
5-th percentile54.35
Q168.75
median135
Q3237.25
95-th percentile419.9
Maximum556
Range508
Interquartile range (IQR)168.5

Descriptive statistics

Standard deviation121.4993
Coefficient of variation (CV)0.69944784
Kurtosis0.29162988
Mean173.70745
Median Absolute Deviation (MAD)70
Skewness1.0815915
Sum32657
Variance14762.08
MonotonicityNot monotonic
2024-04-21T17:21:16.862452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65 6
 
3.2%
64 6
 
3.2%
53 5
 
2.7%
84 5
 
2.7%
67 5
 
2.7%
135 4
 
2.1%
162 3
 
1.6%
70 3
 
1.6%
199 3
 
1.6%
121 3
 
1.6%
Other values (116) 145
77.1%
ValueCountFrequency (%)
48 1
 
0.5%
51 1
 
0.5%
52 1
 
0.5%
53 5
2.7%
54 2
 
1.1%
55 1
 
0.5%
56 2
 
1.1%
58 2
 
1.1%
59 2
 
1.1%
60 3
1.6%
ValueCountFrequency (%)
556 1
0.5%
495 1
0.5%
493 1
0.5%
491 1
0.5%
477 1
0.5%
473 1
0.5%
465 1
0.5%
459 1
0.5%
446 1
0.5%
422 1
0.5%

놀이터수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1276596
Minimum0
Maximum10
Zeros65
Zeros (%)34.6%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-21T17:21:17.066327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.2081191
Coefficient of variation (CV)1.0713509
Kurtosis14.383595
Mean1.1276596
Median Absolute Deviation (MAD)1
Skewness2.4739489
Sum212
Variance1.4595517
MonotonicityNot monotonic
2024-04-21T17:21:17.249849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 65
34.6%
1 64
34.0%
2 39
20.7%
3 16
 
8.5%
4 3
 
1.6%
10 1
 
0.5%
ValueCountFrequency (%)
0 65
34.6%
1 64
34.0%
2 39
20.7%
3 16
 
8.5%
4 3
 
1.6%
10 1
 
0.5%
ValueCountFrequency (%)
10 1
 
0.5%
4 3
 
1.6%
3 16
 
8.5%
2 39
20.7%
1 64
34.0%
0 65
34.6%

CCTV설치수
Real number (ℝ)

Distinct17
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9095745
Minimum0
Maximum22
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-21T17:21:17.441196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q14
median7
Q310.25
95-th percentile16
Maximum22
Range22
Interquartile range (IQR)6.25

Descriptive statistics

Standard deviation4.2774516
Coefficient of variation (CV)0.54079415
Kurtosis0.026246586
Mean7.9095745
Median Absolute Deviation (MAD)3
Skewness0.92484889
Sum1487
Variance18.296592
MonotonicityNot monotonic
2024-04-21T17:21:17.624704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
4 64
34.0%
8 25
 
13.3%
16 17
 
9.0%
5 13
 
6.9%
10 12
 
6.4%
6 12
 
6.4%
11 11
 
5.9%
7 9
 
4.8%
13 5
 
2.7%
9 5
 
2.7%
Other values (7) 15
 
8.0%
ValueCountFrequency (%)
0 1
 
0.5%
4 64
34.0%
5 13
 
6.9%
6 12
 
6.4%
7 9
 
4.8%
8 25
 
13.3%
9 5
 
2.7%
10 12
 
6.4%
11 11
 
5.9%
12 5
 
2.7%
ValueCountFrequency (%)
22 1
 
0.5%
20 1
 
0.5%
19 1
 
0.5%
16 17
9.0%
15 3
 
1.6%
14 3
 
1.6%
13 5
 
2.7%
12 5
 
2.7%
11 11
5.9%
10 12
6.4%

보육교직원수
Real number (ℝ)

Distinct26
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.489362
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-21T17:21:17.818671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q17
median9
Q313
95-th percentile22
Maximum30
Range29
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.2330596
Coefficient of variation (CV)0.49889209
Kurtosis1.4133053
Mean10.489362
Median Absolute Deviation (MAD)3
Skewness1.2454858
Sum1972
Variance27.384913
MonotonicityNot monotonic
2024-04-21T17:21:18.024386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
8 28
14.9%
6 23
12.2%
7 18
9.6%
9 17
 
9.0%
5 14
 
7.4%
11 11
 
5.9%
10 10
 
5.3%
14 8
 
4.3%
12 8
 
4.3%
17 8
 
4.3%
Other values (16) 43
22.9%
ValueCountFrequency (%)
1 1
 
0.5%
3 1
 
0.5%
4 4
 
2.1%
5 14
7.4%
6 23
12.2%
7 18
9.6%
8 28
14.9%
9 17
9.0%
10 10
 
5.3%
11 11
 
5.9%
ValueCountFrequency (%)
30 1
 
0.5%
28 1
 
0.5%
26 1
 
0.5%
24 3
1.6%
23 2
1.1%
22 3
1.6%
21 1
 
0.5%
20 1
 
0.5%
19 2
1.1%
18 3
1.6%

정원수
Real number (ℝ)

Distinct74
Distinct (%)39.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.12234
Minimum13
Maximum170
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-21T17:21:18.255845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile19
Q120
median41
Q369.25
95-th percentile129
Maximum170
Range157
Interquartile range (IQR)49.25

Descriptive statistics

Standard deviation34.555248
Coefficient of variation (CV)0.68941809
Kurtosis1.051969
Mean50.12234
Median Absolute Deviation (MAD)21
Skewness1.2322624
Sum9423
Variance1194.0652
MonotonicityNot monotonic
2024-04-21T17:21:18.500582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 45
23.9%
19 15
 
8.0%
39 6
 
3.2%
51 5
 
2.7%
48 5
 
2.7%
63 4
 
2.1%
50 4
 
2.1%
75 3
 
1.6%
99 3
 
1.6%
18 3
 
1.6%
Other values (64) 95
50.5%
ValueCountFrequency (%)
13 1
 
0.5%
16 1
 
0.5%
17 2
 
1.1%
18 3
 
1.6%
19 15
 
8.0%
20 45
23.9%
24 3
 
1.6%
26 1
 
0.5%
27 1
 
0.5%
31 2
 
1.1%
ValueCountFrequency (%)
170 1
0.5%
164 1
0.5%
145 1
0.5%
144 1
0.5%
139 2
1.1%
134 1
0.5%
131 1
0.5%
130 1
0.5%
129 2
1.1%
117 1
0.5%

현원수
Real number (ℝ)

Distinct76
Distinct (%)40.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.696809
Minimum0
Maximum147
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-21T17:21:18.751119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13.35
Q120
median34.5
Q355.5
95-th percentile106.95
Maximum147
Range147
Interquartile range (IQR)35.5

Descriptive statistics

Standard deviation30.477459
Coefficient of variation (CV)0.69747563
Kurtosis1.3214313
Mean43.696809
Median Absolute Deviation (MAD)15.5
Skewness1.278015
Sum8215
Variance928.8755
MonotonicityNot monotonic
2024-04-21T17:21:18.999744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 32
 
17.0%
32 7
 
3.7%
50 6
 
3.2%
19 6
 
3.2%
17 6
 
3.2%
14 5
 
2.7%
18 5
 
2.7%
41 5
 
2.7%
42 5
 
2.7%
90 4
 
2.1%
Other values (66) 107
56.9%
ValueCountFrequency (%)
0 1
 
0.5%
6 1
 
0.5%
7 1
 
0.5%
8 1
 
0.5%
10 1
 
0.5%
11 2
 
1.1%
12 1
 
0.5%
13 2
 
1.1%
14 5
2.7%
15 2
 
1.1%
ValueCountFrequency (%)
147 1
0.5%
145 1
0.5%
144 1
0.5%
129 1
0.5%
128 1
0.5%
119 2
1.1%
114 1
0.5%
113 1
0.5%
108 1
0.5%
105 1
0.5%

위도
Real number (ℝ)

Distinct158
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.862933
Minimum35.654471
Maximum37.56647
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-21T17:21:19.250387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.654471
5-th percentile35.690197
Q135.730144
median35.805357
Q335.866993
95-th percentile35.882413
Maximum37.56647
Range1.9119994
Interquartile range (IQR)0.13684859

Descriptive statistics

Standard deviation0.3433657
Coefficient of variation (CV)0.0095743896
Kurtosis20.388826
Mean35.862933
Median Absolute Deviation (MAD)0.063538525
Skewness4.5838464
Sum6742.2314
Variance0.1179
MonotonicityNot monotonic
2024-04-21T17:21:19.507952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.56647 7
 
3.7%
35.8708154 3
 
1.6%
35.65573917 2
 
1.1%
35.69231237 2
 
1.1%
35.85857517 2
 
1.1%
35.86095204 2
 
1.1%
35.69135373 2
 
1.1%
35.8113783 2
 
1.1%
35.6954776 2
 
1.1%
35.69318405 2
 
1.1%
Other values (148) 162
86.2%
ValueCountFrequency (%)
35.6544706 1
0.5%
35.65573917 2
1.1%
35.65574125 1
0.5%
35.65740805 1
0.5%
35.65792804 2
1.1%
35.65827592 1
0.5%
35.65926377 1
0.5%
35.69013481 1
0.5%
35.69031152 1
0.5%
35.69077935 1
0.5%
ValueCountFrequency (%)
37.56647 7
3.7%
35.90063673 1
 
0.5%
35.8826073 2
 
1.1%
35.8820534 1
 
0.5%
35.88071136 1
 
0.5%
35.87732875 1
 
0.5%
35.87601501 1
 
0.5%
35.87581445 1
 
0.5%
35.87529168 1
 
0.5%
35.8748877 2
 
1.1%

경도
Real number (ℝ)

Distinct158
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.41649
Minimum126.97796
Maximum128.73174
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-21T17:21:19.976352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.97796
5-th percentile128.4127
Q1128.44973
median128.46562
Q3128.49501
95-th percentile128.50702
Maximum128.73174
Range1.7537727
Interquartile range (IQR)0.04527945

Descriptive statistics

Standard deviation0.28584439
Coefficient of variation (CV)0.0022259165
Kurtosis21.76016
Mean128.41649
Median Absolute Deviation (MAD)0.0227524
Skewness-4.8004522
Sum24142.301
Variance0.081707014
MonotonicityNot monotonic
2024-04-21T17:21:20.229718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.977963 7
 
3.7%
128.4896916 3
 
1.6%
128.4154989 2
 
1.1%
128.4500904 2
 
1.1%
128.4685143 2
 
1.1%
128.4681146 2
 
1.1%
128.4643633 2
 
1.1%
128.5071045 2
 
1.1%
128.4658395 2
 
1.1%
128.4540301 2
 
1.1%
Other values (148) 162
86.2%
ValueCountFrequency (%)
126.977963 7
3.7%
128.4082071 1
 
0.5%
128.4093528 1
 
0.5%
128.4120336 1
 
0.5%
128.4139252 1
 
0.5%
128.414901 1
 
0.5%
128.4154989 2
 
1.1%
128.4197204 2
 
1.1%
128.4205253 1
 
0.5%
128.4280135 1
 
0.5%
ValueCountFrequency (%)
128.7317357 1
0.5%
128.6509522 1
0.5%
128.6232356 1
0.5%
128.5132413 1
0.5%
128.5115569 1
0.5%
128.5100457 1
0.5%
128.5091943 1
0.5%
128.5081295 1
0.5%
128.5071045 2
1.1%
128.5068731 1
0.5%

통학차량운영여부
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
운영
105 
미운영
83 

Length

Max length3
Median length2
Mean length2.4414894
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미운영
2nd row미운영
3rd row운영
4th row미운영
5th row미운영

Common Values

ValueCountFrequency (%)
운영 105
55.9%
미운영 83
44.1%

Length

2024-04-21T17:21:20.472640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:21:20.646920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영 105
55.9%
미운영 83
44.1%

인가일자
Date

Distinct164
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum1990-09-18 00:00:00
Maximum2019-04-16 00:00:00
2024-04-21T17:21:20.845927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T17:21:21.087607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴지시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing188
Missing (%)100.0%
Memory size1.8 KiB

휴지종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing188
Missing (%)100.0%
Memory size1.8 KiB

폐지일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing188
Missing (%)100.0%
Memory size1.8 KiB

제공서비스
Categorical

IMBALANCE 

Distinct9
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
일반
158 
시간연장형
20 
일반+시간제보육
 
2
장애아전문
 
2
일반+시간연장형
 
2
Other values (4)
 
4

Length

Max length11
Median length2
Mean length2.6276596
Min length2

Unique

Unique4 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반 158
84.0%
시간연장형 20
 
10.6%
일반+시간제보육 2
 
1.1%
장애아전문 2
 
1.1%
일반+시간연장형 2
 
1.1%
영아전담 1
 
0.5%
시간연장형+시간제보육 1
 
0.5%
장애아통합+시간연장형 1
 
0.5%
영아전담+시간연장형 1
 
0.5%

Length

2024-04-21T17:21:21.307834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:21:21.520218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 158
84.0%
시간연장형 20
 
10.6%
일반+시간제보육 2
 
1.1%
장애아전문 2
 
1.1%
일반+시간연장형 2
 
1.1%
영아전담 1
 
0.5%
시간연장형+시간제보육 1
 
0.5%
장애아통합+시간연장형 1
 
0.5%
영아전담+시간연장형 1
 
0.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2019-09-20
188 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-09-20
2nd row2019-09-20
3rd row2019-09-20
4th row2019-09-20
5th row2019-09-20

Common Values

ValueCountFrequency (%)
2019-09-20 188
100.0%

Length

2024-04-21T17:21:21.750619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:21:21.919176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-09-20 188
100.0%

Sample

시도명시군구명어린이집코드어린이집명어린이집유형구분운영현황우편번호상세주소어린이집전화번호어린이집팩스번호홈페이지주소보육실수보육실 면적놀이터수CCTV설치수보육교직원수정원수현원수위도경도통학차량운영여부인가일자휴지시작일자휴지종료일자폐지일자제공서비스데이터기준일자
0대구광역시달성군27710000250DGIST직장어린이집직장Y42988대구광역시 달성군 현풍읍 테크노중앙대로 333 비슬빌리지 302동 1층070-4145-2018<NA><NA>2670107202037.56647126.977963미운영2018-12-21<NA><NA><NA>일반2019-09-20
1대구광역시달성군27710000205가온누리어린이집가정Y42930대구광역시 달성군 다사읍 세천로 160 104동 105호 (북죽곡엠코타운더솔레뉴)053-586-1050053-586-1050<NA>461048202035.874421128.48025미운영2016-10-11<NA><NA><NA>일반2019-09-20
2대구광역시달성군27710000077가창어린이집사회복지법인Y42937대구광역시 달성군 가창면 퇴계길 5053-767-3444053-768-0759http://cafe-daum-net/kidsgch344461981069993235.780505128.650952운영1996-03-06<NA><NA><NA>일반2019-09-20
3대구광역시달성군27710000190강림어린이집국공립Y42974대구광역시 달성군 옥포면 돌미로 51 천년나무2단지053-617-9801053-617-9802http://cafe-daum-net/kanglimdaegu73492815808035.780072128.439668미운영2015-04-30<NA><NA><NA>일반2019-09-20
4대구광역시달성군27710000066강창리더스어린이집민간Y42915대구광역시 달성군 달구벌대로 814 강창하이츠 단지내053-587-0300053-261-3244http://biog-daum-net/leaders03006120188514435.858974128.461531미운영2003-03-03<NA><NA><NA>일반2019-09-20
5대구광역시달성군27710000034건영캐스빌어린이집가정Y42928대구광역시 달성군 다사읍 서재로12길 41-16 106동 102호(서재리, 와룡건영캐스빌)053-587-9280<NA><NA>358247202035.873926128.497039운영2005-10-19<NA><NA><NA>시간연장형2019-09-20
6대구광역시달성군27710000216과학마을어린이집민간Y43008대구광역시 달성군 구지면 과학마을로 70 과학마을청아람 단지 내053-615-3615<NA><NA>71391811504735.655741128.420525미운영2017-02-21<NA><NA><NA>일반2019-09-20
7대구광역시달성군27710000170구지 청아람어린이집민간Y43009대구광역시 달성군 구지면 과학마을로2길 6053-614-6636053-614-6632<NA>618821115696335.654471128.414901운영2011-03-08<NA><NA><NA>일반2019-09-20
8대구광역시달성군27710000243구지반도유보라어린이집국공립Y43008대구광역시 달성군 구지면 과학마을로3길 14053-615-5225053-615-5233<NA>717011511645035.657928128.41972미운영2018-07-31<NA><NA><NA>일반+시간제보육2019-09-20
9대구광역시달성군27710000029구지어린이집국공립Y43010대구광역시 달성군 창리중앙3길 12053-614-3811053-617-1455<NA>631811115817435.657408128.412034운영1990-09-18<NA><NA><NA>일반2019-09-20
시도명시군구명어린이집코드어린이집명어린이집유형구분운영현황우편번호상세주소어린이집전화번호어린이집팩스번호홈페이지주소보육실수보육실 면적놀이터수CCTV설치수보육교직원수정원수현원수위도경도통학차량운영여부인가일자휴지시작일자휴지종료일자폐지일자제공서비스데이터기준일자
178대구광역시달성군27710000089혜민어린이집민간Y42964대구광역시 달성군 비슬로528길 4053-639-4151053-639-4151<NA>831621116987135.805321128.504882운영2003-05-16<NA><NA><NA>일반2019-09-20
179대구광역시달성군27710000021혜원어린이집민간Y42960대구광역시 달성군 화원읍 명천로 231053-644-0877053-644-0877<NA>42372412494435.79798128.494921운영2000-05-01<NA><NA><NA>시간연장형2019-09-20
180대구광역시달성군27710000234호반베르디움어린이집국공립Y43016대구광역시 달성군 유가읍 테크노대로5길 58 (호반베르디움)053-615-3606053-615-3607<NA>588098333235.694735128.467289미운영2017-11-30<NA><NA><NA>일반2019-09-20
181대구광역시달성군27710000239호반아이숲어린이집국공립Y43016대구광역시 달성군 유가면 테크노대로5길 80053-615-1881<NA><NA>619941012757435.695568128.469094미운영2018-02-05<NA><NA><NA>일반2019-09-20
182대구광역시달성군27710000028화남어린이집사회복지법인Y42962대구광역시 달성군 화원읍 비슬로512길 44053-639-7979053-639-7978<NA>7323216241019835.801831128.498338운영2004-11-23<NA><NA><NA>시간연장형2019-09-20
183대구광역시달성군27710000122화성키즈스쿨 어린이집민간Y42924대구광역시 달성군 다사읍 서재로27길 42 (신성서화성파크드림 단지내)053-591-8858053-592-8857<NA>371147262535.875292128.495546운영2008-12-11<NA><NA><NA>일반2019-09-20
184대구광역시달성군27710000207화성파크어린이집가정Y43014대구광역시 달성군 유가면 테크노북로 165 104동 101호(대구 테크노폴리스 화성파크드림)053-242-3354053-611-3354<NA>464046202035.69809128.461141미운영2016-10-27<NA><NA><NA>일반2019-09-20
185대구광역시달성군27710000004화원어린이집사회복지법인Y42964대구광역시 달성군 화원읍 비슬로530길 15-12053-631-0817053-631-0819<NA>93031981312835.805322128.506654운영1993-03-16<NA><NA><NA>일반2019-09-20
186대구광역시달성군27710000251화원이진캐스빌어린이집국공립Y42947대구광역시 달성군 화원읍 비슬로 2545053-632-7557053-631-7558<NA>61210811434135.784581128.505001미운영2019-02-07<NA><NA><NA>일반2019-09-20
187대구광역시달성군27710000074효성어린이집민간Y42960대구광역시 달성군 화원읍 명천로 243 명곡미래빌 5단지 복지관 1층053-642-0871053-642-0872<NA>3159049342735.797768128.492896운영2001-01-11<NA><NA><NA>일반2019-09-20