Overview

Dataset statistics

Number of variables27
Number of observations358
Missing cells1820
Missing cells (%)18.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory79.8 KiB
Average record size in memory228.4 B

Variable types

Categorical5
Numeric10
Text5
Unsupported2
Boolean1
DateTime4

Dataset

Description경상남도 양산시 운영중인 어린이집 공공데이터입니다. 어린이집 유형, 주소, 통학차량, 연장보육반운영, 인증평가참여, 보육교직원현원, 정원, 보육실수 등을 확인할 수 있습니다.
Author경상남도 양산시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3040402

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
운영현황 is highly imbalanced (95.1%)Imbalance
제공서비스 is highly imbalanced (75.6%)Imbalance
어린이집팩스번호 has 88 (24.6%) missing valuesMissing
홈페이지주소 has 335 (93.6%) missing valuesMissing
CCTV설치수 has 358 (100.0%) missing valuesMissing
위도 has 11 (3.1%) missing valuesMissing
경도 has 20 (5.6%) missing valuesMissing
휴지시작일자 has 325 (90.8%) missing valuesMissing
휴지종료일자 has 325 (90.8%) missing valuesMissing
폐지일자 has 358 (100.0%) missing valuesMissing
어린이집코드 has unique valuesUnique
어린이집명 has unique valuesUnique
어린이집전화번호 has unique valuesUnique
CCTV설치수 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 239 (66.8%) zerosZeros
현원수 has 4 (1.1%) zerosZeros

Reproduction

Analysis started2024-04-17 18:12:01.884492
Analysis finished2024-04-17 18:12:02.290702
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
경상남도
358 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상남도 358
100.0%

Length

2024-04-18T03:12:02.341549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:12:02.412452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 358
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
양산시
358 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
양산시 358
100.0%

Length

2024-04-18T03:12:02.485905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:12:02.556427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양산시 358
100.0%

어린이집코드
Real number (ℝ)

UNIQUE 

Distinct358
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.5516282 × 109
Minimum1.0280023 × 109
Maximum8.8480006 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T03:12:02.637717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.0280023 × 109
5-th percentile1.703501 × 109
Q14.5905009 × 109
median6.2180128 × 109
Q36.2180239 × 109
95-th percentile8.1210005 × 109
Maximum8.8480006 × 109
Range7.8199984 × 109
Interquartile range (IQR)1.6275229 × 109

Descriptive statistics

Standard deviation1.7930837 × 109
Coefficient of variation (CV)0.3229834
Kurtosis0.21964285
Mean5.5516282 × 109
Median Absolute Deviation (MAD)24999634
Skewness-0.90686027
Sum1.9874829 × 1012
Variance3.2151493 × 1018
MonotonicityNot monotonic
2024-04-18T03:12:02.759095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2938001734 1
 
0.3%
6218004601 1
 
0.3%
2478001008 1
 
0.3%
6218210301 1
 
0.3%
6218209968 1
 
0.3%
2728000121 1
 
0.3%
4048033632 1
 
0.3%
6068018654 1
 
0.3%
4918000644 1
 
0.3%
6218019273 1
 
0.3%
Other values (348) 348
97.2%
ValueCountFrequency (%)
1028002271 1
0.3%
1048005615 1
0.3%
1108016101 1
0.3%
1128002910 1
0.3%
1138014836 1
0.3%
1168002120 1
0.3%
1208015828 1
0.3%
1238061317 1
0.3%
1288289750 1
0.3%
1298045300 1
0.3%
ValueCountFrequency (%)
8848000623 1
0.3%
8818000774 1
0.3%
8758000779 1
0.3%
8718000909 1
0.3%
8698001133 1
0.3%
8688001464 1
0.3%
8608000821 1
0.3%
8558000848 1
0.3%
8538000202 1
0.3%
8468000112 1
0.3%

어린이집명
Text

UNIQUE 

Distinct358
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-04-18T03:12:02.962674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length7.7318436
Min length5

Characters and Unicode

Total characters2768
Distinct characters309
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique358 ?
Unique (%)100.0%

Sample

1st rowDTR직장어린이집
2nd rowEG꿈나무어린이집
3rd rowLH어린이집
4th rowL해바라기어린이집
5th rowN젤어린이집
ValueCountFrequency (%)
어린이집 2
 
0.5%
부영사랑으로어린이집 2
 
0.5%
dtr직장어린이집 1
 
0.3%
양주복지회 1
 
0.3%
엘솔어린이집 1
 
0.3%
엘림어린이집 1
 
0.3%
엔젤어린이집 1
 
0.3%
엔젤i어린이집 1
 
0.3%
에코맘어린이집 1
 
0.3%
어곡새싹어린이집 1
 
0.3%
Other values (352) 352
96.7%
2024-04-18T03:12:03.264249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 403
 
14.6%
어 362
 
13.1%
린 362
 
13.1%
집 357
 
12.9%
아 45
 
1.6%
사 31
 
1.1%
랑 26
 
0.9%
리 24
 
0.9%
나 23
 
0.8%
시 23
 
0.8%
Other values (299) 1112
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2728
98.6%
Uppercase Letter 20
 
0.7%
Lowercase Letter 7
 
0.3%
Space Separator 6
 
0.2%
Decimal Number 5
 
0.2%
Dash Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 403
 
14.8%
어 362
 
13.3%
린 362
 
13.3%
집 357
 
13.1%
아 45
 
1.6%
사 31
 
1.1%
랑 26
 
1.0%
리 24
 
0.9%
나 23
 
0.8%
시 23
 
0.8%
Other values (276) 1072
39.3%
Uppercase Letter
ValueCountFrequency (%)
E 3
15.0%
L 2
 
10.0%
Q 2
 
10.0%
C 2
 
10.0%
G 1
 
5.0%
D 1
 
5.0%
J 1
 
5.0%
B 1
 
5.0%
H 1
 
5.0%
R 1
 
5.0%
Other values (5) 5
25.0%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
2 2
40.0%
5 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
i 5
71.4%
e 2
 
28.6%
Space Separator
ValueCountFrequency (%)
6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2728
98.6%
Latin 27
 
1.0%
Common 13
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 403
 
14.8%
어 362
 
13.3%
린 362
 
13.3%
집 357
 
13.1%
아 45
 
1.6%
사 31
 
1.1%
랑 26
 
1.0%
리 24
 
0.9%
나 23
 
0.8%
시 23
 
0.8%
Other values (276) 1072
39.3%
Latin
ValueCountFrequency (%)
i 5
18.5%
E 3
11.1%
L 2
 
7.4%
Q 2
 
7.4%
C 2
 
7.4%
e 2
 
7.4%
G 1
 
3.7%
D 1
 
3.7%
J 1
 
3.7%
B 1
 
3.7%
Other values (7) 7
25.9%
Common
ValueCountFrequency (%)
6
46.2%
1 2
 
15.4%
2 2
 
15.4%
5 1
 
7.7%
- 1
 
7.7%
& 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2728
98.6%
ASCII 40
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 403
 
14.8%
어 362
 
13.3%
린 362
 
13.3%
집 357
 
13.1%
아 45
 
1.6%
사 31
 
1.1%
랑 26
 
1.0%
리 24
 
0.9%
나 23
 
0.8%
시 23
 
0.8%
Other values (276) 1072
39.3%
ASCII
ValueCountFrequency (%)
6
15.0%
i 5
 
12.5%
E 3
 
7.5%
1 2
 
5.0%
L 2
 
5.0%
Q 2
 
5.0%
C 2
 
5.0%
2 2
 
5.0%
e 2
 
5.0%
5 1
 
2.5%
Other values (13) 13
32.5%

어린이집유형구분
Categorical

Distinct7
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
가정
199 
민간
119 
국공립
21 
사회복지법인
 
11
직장
 
4
Other values (2)
 
4

Length

Max length6
Median length2
Mean length2.1899441
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
가정 199
55.6%
민간 119
33.2%
국공립 21
 
5.9%
사회복지법인 11
 
3.1%
직장 4
 
1.1%
협동 3
 
0.8%
법인·단체 1
 
0.3%

Length

2024-04-18T03:12:03.377187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:12:03.468702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정 199
55.6%
민간 119
33.2%
국공립 21
 
5.9%
사회복지법인 11
 
3.1%
직장 4
 
1.1%
협동 3
 
0.8%
법인·단체 1
 
0.3%

운영현황
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Y
355 
R
 
2
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
Y 355
99.2%
R 2
 
0.6%
D 1
 
0.3%

Length

2024-04-18T03:12:03.563673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:12:03.638765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 355
99.2%
r 2
 
0.6%
d 1
 
0.3%

우편번호
Real number (ℝ)

Distinct96
Distinct (%)26.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52214.997
Minimum50502
Maximum626797
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T03:12:03.736050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50502
5-th percentile50526
Q150572.25
median50610
Q350650
95-th percentile50655
Maximum626797
Range576295
Interquartile range (IQR)77.75

Descriptive statistics

Standard deviation30452.699
Coefficient of variation (CV)0.58321747
Kurtosis357.99844
Mean52214.997
Median Absolute Deviation (MAD)40
Skewness18.920826
Sum18692969
Variance9.2736685 × 108
MonotonicityNot monotonic
2024-04-18T03:12:03.864270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50654 21
 
5.9%
50655 16
 
4.5%
50653 14
 
3.9%
50651 12
 
3.4%
50649 11
 
3.1%
50613 11
 
3.1%
50638 10
 
2.8%
50603 9
 
2.5%
50650 8
 
2.2%
50634 8
 
2.2%
Other values (86) 238
66.5%
ValueCountFrequency (%)
50502 1
 
0.3%
50503 1
 
0.3%
50512 2
 
0.6%
50514 5
1.4%
50515 1
 
0.3%
50517 2
 
0.6%
50519 4
1.1%
50524 1
 
0.3%
50526 3
0.8%
50527 3
0.8%
ValueCountFrequency (%)
626797 1
 
0.3%
50658 8
 
2.2%
50656 6
 
1.7%
50655 16
4.5%
50654 21
5.9%
50653 14
3.9%
50652 8
 
2.2%
50651 12
3.4%
50650 8
 
2.2%
50649 11
3.1%

상세주소
Text

Distinct357
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-04-18T03:12:04.096363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length40
Mean length34.444134
Min length15

Characters and Unicode

Total characters12331
Distinct characters236
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique356 ?
Unique (%)99.4%

Sample

1st row경상남도 양산시 양산대로 1111
2nd row경상남도 양산시 동면 금오16길 100 310동 103호(이지3차)
3rd row경상남도 양산시 배움터길 11 휴먼시아아파트 관리동
4th row경상남도 양산시 물금읍 초장길 10 .
5th row경상남도 양산시 물금읍 오봉로 192 넥센사원아파트 관리동내
ValueCountFrequency (%)
경상남도 358
 
15.1%
양산시 358
 
15.1%
물금읍 148
 
6.3%
동면 46
 
1.9%
양주로 35
 
1.5%
물금로 34
 
1.4%
관리동 30
 
1.3%
105동 21
 
0.9%
새실로 20
 
0.8%
신주로 20
 
0.8%
Other values (617) 1294
54.7%
2024-04-18T03:12:04.450351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2007
 
16.3%
1 779
 
6.3%
동 480
 
3.9%
산 461
 
3.7%
양 456
 
3.7%
0 435
 
3.5%
남 396
 
3.2%
상 387
 
3.1%
도 381
 
3.1%
시 380
 
3.1%
Other values (226) 6169
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7313
59.3%
Decimal Number 2345
 
19.0%
Space Separator 2007
 
16.3%
Open Punctuation 247
 
2.0%
Close Punctuation 247
 
2.0%
Other Punctuation 110
 
0.9%
Dash Punctuation 35
 
0.3%
Uppercase Letter 16
 
0.1%
Lowercase Letter 11
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 480
 
6.6%
산 461
 
6.3%
양 456
 
6.2%
남 396
 
5.4%
상 387
 
5.3%
도 381
 
5.2%
시 380
 
5.2%
경 361
 
4.9%
로 236
 
3.2%
금 229
 
3.1%
Other values (203) 3546
48.5%
Decimal Number
ValueCountFrequency (%)
1 779
33.2%
0 435
18.6%
2 226
 
9.6%
3 193
 
8.2%
5 167
 
7.1%
6 149
 
6.4%
4 135
 
5.8%
7 109
 
4.6%
9 83
 
3.5%
8 69
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
A 6
37.5%
L 3
18.8%
H 3
18.8%
C 2
 
12.5%
E 1
 
6.2%
K 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 107
97.3%
. 3
 
2.7%
Space Separator
ValueCountFrequency (%)
2007
100.0%
Open Punctuation
ValueCountFrequency (%)
( 247
100.0%
Close Punctuation
ValueCountFrequency (%)
) 247
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7313
59.3%
Common 4991
40.5%
Latin 27
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 480
 
6.6%
산 461
 
6.3%
양 456
 
6.2%
남 396
 
5.4%
상 387
 
5.3%
도 381
 
5.2%
시 380
 
5.2%
경 361
 
4.9%
로 236
 
3.2%
금 229
 
3.1%
Other values (203) 3546
48.5%
Common
ValueCountFrequency (%)
2007
40.2%
1 779
 
15.6%
0 435
 
8.7%
( 247
 
4.9%
) 247
 
4.9%
2 226
 
4.5%
3 193
 
3.9%
5 167
 
3.3%
6 149
 
3.0%
4 135
 
2.7%
Other values (6) 406
 
8.1%
Latin
ValueCountFrequency (%)
e 11
40.7%
A 6
22.2%
L 3
 
11.1%
H 3
 
11.1%
C 2
 
7.4%
E 1
 
3.7%
K 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7313
59.3%
ASCII 5018
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2007
40.0%
1 779
 
15.5%
0 435
 
8.7%
( 247
 
4.9%
) 247
 
4.9%
2 226
 
4.5%
3 193
 
3.8%
5 167
 
3.3%
6 149
 
3.0%
4 135
 
2.7%
Other values (13) 433
 
8.6%
Hangul
ValueCountFrequency (%)
동 480
 
6.6%
산 461
 
6.3%
양 456
 
6.2%
남 396
 
5.4%
상 387
 
5.3%
도 381
 
5.2%
시 380
 
5.2%
경 361
 
4.9%
로 236
 
3.2%
금 229
 
3.1%
Other values (203) 3546
48.5%

어린이집전화번호
Text

UNIQUE 

Distinct358
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-04-18T03:12:04.671712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.047486
Min length12

Characters and Unicode

Total characters4313
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

Unique358 ?
Unique (%)100.0%

Sample

1st row055-365-5322
2nd row070-8623-2030
3rd row055-363-7505
4th row055-366-4657
5th row055-362-5180
ValueCountFrequency (%)
055-365-5322 1
 
0.3%
070-7554-2257 1
 
0.3%
055-385-6324 1
 
0.3%
055-367-2110 1
 
0.3%
055-366-3957 1
 
0.3%
055-389-0216 1
 
0.3%
055-364-0216 1
 
0.3%
055-910-5411 1
 
0.3%
055-386-3600 1
 
0.3%
055-388-0207 1
 
0.3%
Other values (348) 348
97.2%
2024-04-18T03:12:04.992471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 858
19.9%
- 716
16.6%
0 611
14.2%
3 504
11.7%
8 316
 
7.3%
6 312
 
7.2%
2 242
 
5.6%
1 233
 
5.4%
7 220
 
5.1%
9 163
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3597
83.4%
Dash Punctuation 716
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 858
23.9%
0 611
17.0%
3 504
14.0%
8 316
 
8.8%
6 312
 
8.7%
2 242
 
6.7%
1 233
 
6.5%
7 220
 
6.1%
9 163
 
4.5%
4 138
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 716
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4313
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 858
19.9%
- 716
16.6%
0 611
14.2%
3 504
11.7%
8 316
 
7.3%
6 312
 
7.2%
2 242
 
5.6%
1 233
 
5.4%
7 220
 
5.1%
9 163
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4313
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 858
19.9%
- 716
16.6%
0 611
14.2%
3 504
11.7%
8 316
 
7.3%
6 312
 
7.2%
2 242
 
5.6%
1 233
 
5.4%
7 220
 
5.1%
9 163
 
3.8%

어린이집팩스번호
Text

MISSING 

Distinct265
Distinct (%)98.1%
Missing88
Missing (%)24.6%
Memory size2.9 KiB
2024-04-18T03:12:05.189689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.085185
Min length12

Characters and Unicode

Total characters3263
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

Unique260 ?
Unique (%)96.3%

Sample

1st row055-365-5333
2nd row070-8623-2030
3rd row055-362-7505
4th row055-366-4657
5th row055-362-5180
ValueCountFrequency (%)
055-366-5999 2
 
0.7%
055-387-3394 2
 
0.7%
055-384-6266 2
 
0.7%
055-912-0029 2
 
0.7%
070-7593-3328 2
 
0.7%
055-389-1090 1
 
0.4%
055-386-3600 1
 
0.4%
055-387-0208 1
 
0.4%
055-363-6810 1
 
0.4%
055-375-1019 1
 
0.4%
Other values (255) 255
94.4%
2024-04-18T03:12:05.494383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 655
20.1%
- 540
16.5%
0 468
14.3%
3 367
11.2%
8 237
 
7.3%
6 233
 
7.1%
1 177
 
5.4%
2 174
 
5.3%
7 172
 
5.3%
9 134
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2723
83.5%
Dash Punctuation 540
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 655
24.1%
0 468
17.2%
3 367
13.5%
8 237
 
8.7%
6 233
 
8.6%
1 177
 
6.5%
2 174
 
6.4%
7 172
 
6.3%
9 134
 
4.9%
4 106
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 540
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3263
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 655
20.1%
- 540
16.5%
0 468
14.3%
3 367
11.2%
8 237
 
7.3%
6 233
 
7.1%
1 177
 
5.4%
2 174
 
5.3%
7 172
 
5.3%
9 134
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3263
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 655
20.1%
- 540
16.5%
0 468
14.3%
3 367
11.2%
8 237
 
7.3%
6 233
 
7.1%
1 177
 
5.4%
2 174
 
5.3%
7 172
 
5.3%
9 134
 
4.1%

홈페이지주소
Text

MISSING 

Distinct23
Distinct (%)100.0%
Missing335
Missing (%)93.6%
Memory size2.9 KiB
2024-04-18T03:12:05.677292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length39
Mean length31.608696
Min length18

Characters and Unicode

Total characters727
Distinct characters46
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st rowhttp://cafe.daum.net/kkoma102
2nd rowhttp://www.littleforest.co.kr/home/ysgosi/
3rd rowhttp://www.littleforest.co.kr/home/yangsan/
4th rowhttp://blog.naver.com/gkinder7811
5th rowhttp://cafe.naver.com/naewonkide
ValueCountFrequency (%)
http://cafe.daum.net/kkoma102 1
 
4.3%
http://cafe.daum.net/bskidsrand 1
 
4.3%
comm.yangsan.go.kr/hsh1006 1
 
4.3%
http://won.kizheim.kr/shyflower 1
 
4.3%
flowerchild.mypepe.com 1
 
4.3%
http://cafe.daum.net/jam5074 1
 
4.3%
http://cheongdam.kidis.co.kr 1
 
4.3%
http://www.gracei.kr 1
 
4.3%
cafe.naver.com/tls4991/183 1
 
4.3%
http://cafe.daum.net/aesolbat 1
 
4.3%
Other values (13) 13
56.5%
2024-04-18T03:12:05.969316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 62
 
8.5%
t 61
 
8.4%
. 53
 
7.3%
e 50
 
6.9%
a 46
 
6.3%
o 40
 
5.5%
n 31
 
4.3%
h 29
 
4.0%
m 29
 
4.0%
c 28
 
3.9%
Other values (36) 298
41.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 533
73.3%
Other Punctuation 137
 
18.8%
Decimal Number 46
 
6.3%
Uppercase Letter 7
 
1.0%
Math Symbol 3
 
0.4%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 61
 
11.4%
e 50
 
9.4%
a 46
 
8.6%
o 40
 
7.5%
n 31
 
5.8%
h 29
 
5.4%
m 29
 
5.4%
c 28
 
5.3%
r 23
 
4.3%
p 22
 
4.1%
Other values (14) 174
32.6%
Decimal Number
ValueCountFrequency (%)
0 10
21.7%
1 9
19.6%
7 6
13.0%
4 4
 
8.7%
8 4
 
8.7%
3 3
 
6.5%
5 3
 
6.5%
9 3
 
6.5%
2 2
 
4.3%
6 2
 
4.3%
Other Punctuation
ValueCountFrequency (%)
/ 62
45.3%
. 53
38.7%
: 19
 
13.9%
& 2
 
1.5%
? 1
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
L 3
42.9%
Y 1
 
14.3%
P 1
 
14.3%
I 1
 
14.3%
N 1
 
14.3%
Math Symbol
ValueCountFrequency (%)
= 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 540
74.3%
Common 187
 
25.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 61
 
11.3%
e 50
 
9.3%
a 46
 
8.5%
o 40
 
7.4%
n 31
 
5.7%
h 29
 
5.4%
m 29
 
5.4%
c 28
 
5.2%
r 23
 
4.3%
p 22
 
4.1%
Other values (19) 181
33.5%
Common
ValueCountFrequency (%)
/ 62
33.2%
. 53
28.3%
: 19
 
10.2%
0 10
 
5.3%
1 9
 
4.8%
7 6
 
3.2%
4 4
 
2.1%
8 4
 
2.1%
3 3
 
1.6%
5 3
 
1.6%
Other values (7) 14
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 727
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 62
 
8.5%
t 61
 
8.4%
. 53
 
7.3%
e 50
 
6.9%
a 46
 
6.3%
o 40
 
5.5%
n 31
 
4.3%
h 29
 
4.0%
m 29
 
4.0%
c 28
 
3.9%
Other values (36) 298
41.0%

보육실수
Real number (ℝ)

Distinct13
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2625698
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T03:12:06.062945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q13
median3
Q35
95-th percentile8
Maximum14
Range13
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.9670382
Coefficient of variation (CV)0.46146768
Kurtosis4.0441805
Mean4.2625698
Median Absolute Deviation (MAD)1
Skewness1.8614278
Sum1526
Variance3.8692393
MonotonicityNot monotonic
2024-04-18T03:12:06.145797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3 170
47.5%
4 76
21.2%
6 27
 
7.5%
5 27
 
7.5%
7 17
 
4.7%
8 15
 
4.2%
2 9
 
2.5%
9 6
 
1.7%
10 4
 
1.1%
13 2
 
0.6%
Other values (3) 5
 
1.4%
ValueCountFrequency (%)
1 2
 
0.6%
2 9
 
2.5%
3 170
47.5%
4 76
21.2%
5 27
 
7.5%
6 27
 
7.5%
7 17
 
4.7%
8 15
 
4.2%
9 6
 
1.7%
10 4
 
1.1%
ValueCountFrequency (%)
14 1
 
0.3%
13 2
 
0.6%
11 2
 
0.6%
10 4
 
1.1%
9 6
 
1.7%
8 15
 
4.2%
7 17
 
4.7%
6 27
 
7.5%
5 27
 
7.5%
4 76
21.2%

보육실 면적
Real number (ℝ)

Distinct166
Distinct (%)46.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.64804
Minimum40
Maximum945
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T03:12:06.242264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile51
Q165
median96
Q3149.5
95-th percentile401.45
Maximum945
Range905
Interquartile range (IQR)84.5

Descriptive statistics

Standard deviation131.58627
Coefficient of variation (CV)0.92896635
Kurtosis9.6713553
Mean141.64804
Median Absolute Deviation (MAD)35
Skewness2.8428541
Sum50710
Variance17314.946
MonotonicityNot monotonic
2024-04-18T03:12:06.339607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 12
 
3.4%
59 9
 
2.5%
51 9
 
2.5%
65 8
 
2.2%
56 8
 
2.2%
70 8
 
2.2%
84 7
 
2.0%
63 7
 
2.0%
68 7
 
2.0%
58 7
 
2.0%
Other values (156) 276
77.1%
ValueCountFrequency (%)
40 1
 
0.3%
44 1
 
0.3%
46 1
 
0.3%
48 1
 
0.3%
49 3
 
0.8%
50 3
 
0.8%
51 9
2.5%
52 1
 
0.3%
53 3
 
0.8%
54 4
1.1%
ValueCountFrequency (%)
945 1
0.3%
791 1
0.3%
767 1
0.3%
743 1
0.3%
712 1
0.3%
660 1
0.3%
599 1
0.3%
567 2
0.6%
553 1
0.3%
546 1
0.3%

놀이터수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.50837989
Minimum0
Maximum5
Zeros239
Zeros (%)66.8%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T03:12:06.420568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.86233814
Coefficient of variation (CV)1.6962475
Kurtosis4.4697042
Mean0.50837989
Median Absolute Deviation (MAD)0
Skewness2.0034066
Sum182
Variance0.74362706
MonotonicityNot monotonic
2024-04-18T03:12:06.499260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 239
66.8%
1 74
 
20.7%
2 33
 
9.2%
3 7
 
2.0%
4 4
 
1.1%
5 1
 
0.3%
ValueCountFrequency (%)
0 239
66.8%
1 74
 
20.7%
2 33
 
9.2%
3 7
 
2.0%
4 4
 
1.1%
5 1
 
0.3%
ValueCountFrequency (%)
5 1
 
0.3%
4 4
 
1.1%
3 7
 
2.0%
2 33
 
9.2%
1 74
 
20.7%
0 239
66.8%

CCTV설치수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing358
Missing (%)100.0%
Memory size3.3 KiB

보육교직원수
Real number (ℝ)

Distinct25
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.7234637
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T03:12:06.579795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q39
95-th percentile18
Maximum31
Range30
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.6819347
Coefficient of variation (CV)0.60619624
Kurtosis3.9478782
Mean7.7234637
Median Absolute Deviation (MAD)2
Skewness1.8038677
Sum2765
Variance21.920512
MonotonicityNot monotonic
2024-04-18T03:12:06.916909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
6 72
20.1%
5 45
12.6%
7 43
12.0%
4 31
8.7%
8 30
8.4%
9 21
 
5.9%
3 21
 
5.9%
2 13
 
3.6%
11 13
 
3.6%
10 12
 
3.4%
Other values (15) 57
15.9%
ValueCountFrequency (%)
1 4
 
1.1%
2 13
 
3.6%
3 21
 
5.9%
4 31
8.7%
5 45
12.6%
6 72
20.1%
7 43
12.0%
8 30
8.4%
9 21
 
5.9%
10 12
 
3.4%
ValueCountFrequency (%)
31 1
 
0.3%
26 3
0.8%
24 1
 
0.3%
22 4
1.1%
21 1
 
0.3%
20 2
 
0.6%
19 2
 
0.6%
18 7
2.0%
17 5
1.4%
16 2
 
0.6%

정원수
Real number (ℝ)

Distinct86
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.860335
Minimum6
Maximum234
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T03:12:07.014368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile16
Q120
median20
Q339
95-th percentile121.3
Maximum234
Range228
Interquartile range (IQR)19

Descriptive statistics

Standard deviation36.600386
Coefficient of variation (CV)0.94184433
Kurtosis6.7110606
Mean38.860335
Median Absolute Deviation (MAD)3
Skewness2.4980049
Sum13912
Variance1339.5883
MonotonicityNot monotonic
2024-04-18T03:12:07.113993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 141
39.4%
19 22
 
6.1%
39 17
 
4.7%
16 9
 
2.5%
18 8
 
2.2%
17 7
 
2.0%
30 7
 
2.0%
47 6
 
1.7%
13 6
 
1.7%
27 5
 
1.4%
Other values (76) 130
36.3%
ValueCountFrequency (%)
6 1
 
0.3%
11 3
 
0.8%
12 1
 
0.3%
13 6
 
1.7%
14 2
 
0.6%
15 3
 
0.8%
16 9
2.5%
17 7
 
2.0%
18 8
 
2.2%
19 22
6.1%
ValueCountFrequency (%)
234 1
0.3%
220 1
0.3%
200 1
0.3%
183 1
0.3%
178 1
0.3%
165 1
0.3%
159 1
0.3%
158 1
0.3%
156 1
0.3%
155 1
0.3%

현원수
Real number (ℝ)

ZEROS 

Distinct83
Distinct (%)23.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.092179
Minimum0
Maximum214
Zeros4
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T03:12:07.214530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.85
Q113
median18.5
Q331.75
95-th percentile90.15
Maximum214
Range214
Interquartile range (IQR)18.75

Descriptive statistics

Standard deviation27.993995
Coefficient of variation (CV)0.99650494
Kurtosis9.1733379
Mean28.092179
Median Absolute Deviation (MAD)7
Skewness2.6366984
Sum10057
Variance783.66375
MonotonicityNot monotonic
2024-04-18T03:12:07.311249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 38
 
10.6%
16 22
 
6.1%
18 21
 
5.9%
19 19
 
5.3%
17 18
 
5.0%
15 16
 
4.5%
13 13
 
3.6%
9 12
 
3.4%
14 11
 
3.1%
12 10
 
2.8%
Other values (73) 178
49.7%
ValueCountFrequency (%)
0 4
 
1.1%
1 4
 
1.1%
2 1
 
0.3%
3 3
 
0.8%
4 3
 
0.8%
5 3
 
0.8%
6 7
2.0%
7 6
1.7%
8 8
2.2%
9 12
3.4%
ValueCountFrequency (%)
214 1
 
0.3%
178 1
 
0.3%
146 1
 
0.3%
133 1
 
0.3%
117 1
 
0.3%
113 1
 
0.3%
112 1
 
0.3%
107 1
 
0.3%
103 1
 
0.3%
99 3
0.8%

위도
Real number (ℝ)

MISSING 

Distinct248
Distinct (%)71.5%
Missing11
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean35.344359
Minimum35.298523
Maximum35.490514
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T03:12:07.411313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.298523
5-th percentile35.311868
Q135.317682
median35.332424
Q335.368786
95-th percentile35.410298
Maximum35.490514
Range0.19199178
Interquartile range (IQR)0.05110316

Descriptive statistics

Standard deviation0.03343581
Coefficient of variation (CV)0.0009460013
Kurtosis1.2201668
Mean35.344359
Median Absolute Deviation (MAD)0.01656555
Skewness1.2430996
Sum12264.493
Variance0.0011179534
MonotonicityNot monotonic
2024-04-18T03:12:07.521479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.331814 9
 
2.5%
35.32925848 8
 
2.2%
35.31299358 6
 
1.7%
35.33766575 6
 
1.7%
35.31505893 5
 
1.4%
35.31717429 5
 
1.4%
35.38608281 4
 
1.1%
35.35967597 4
 
1.1%
35.33341223 4
 
1.1%
35.33409404 4
 
1.1%
Other values (238) 292
81.6%
(Missing) 11
 
3.1%
ValueCountFrequency (%)
35.29852252 1
0.3%
35.30317346 1
0.3%
35.30505692 1
0.3%
35.30700561 1
0.3%
35.30823501 1
0.3%
35.31003188 1
0.3%
35.31012475 1
0.3%
35.31017181 1
0.3%
35.31026442 1
0.3%
35.3103638 1
0.3%
ValueCountFrequency (%)
35.4905143 1
0.3%
35.4901802 1
0.3%
35.4267798 1
0.3%
35.42564575 1
0.3%
35.41638849 1
0.3%
35.41635669 1
0.3%
35.4159101 1
0.3%
35.41580014 1
0.3%
35.41546302 1
0.3%
35.41519042 1
0.3%

경도
Real number (ℝ)

MISSING 

Distinct246
Distinct (%)72.8%
Missing20
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean129.02527
Minimum126.97796
Maximum129.18799
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T03:12:07.647087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.97796
5-th percentile128.99028
Q1129.00499
median129.02521
Q3129.05904
95-th percentile129.16995
Maximum129.18799
Range2.2100269
Interquartile range (IQR)0.0540474

Descriptive statistics

Standard deviation0.23259364
Coefficient of variation (CV)0.0018026983
Kurtosis69.526397
Mean129.02527
Median Absolute Deviation (MAD)0.02249425
Skewness-8.0999444
Sum43610.542
Variance0.0540998
MonotonicityNot monotonic
2024-04-18T03:12:07.767545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.0157876 8
 
2.2%
129.0340452 6
 
1.7%
128.9896485 6
 
1.7%
128.9984279 5
 
1.4%
128.9957768 5
 
1.4%
126.977963 4
 
1.1%
129.0068134 4
 
1.1%
129.026585 4
 
1.1%
129.1522326 4
 
1.1%
129.0183901 4
 
1.1%
Other values (236) 288
80.4%
(Missing) 20
 
5.6%
ValueCountFrequency (%)
126.977963 4
1.1%
128.9798919 1
 
0.3%
128.9859219 1
 
0.3%
128.9884711 1
 
0.3%
128.9885129 1
 
0.3%
128.9891387 1
 
0.3%
128.9893903 1
 
0.3%
128.9896485 6
1.7%
128.9899544 1
 
0.3%
128.9903401 1
 
0.3%
ValueCountFrequency (%)
129.1879899 1
 
0.3%
129.1808226 1
 
0.3%
129.1789349 1
 
0.3%
129.176035 1
 
0.3%
129.1738815 1
 
0.3%
129.1734639 3
0.8%
129.173152 1
 
0.3%
129.1729456 1
 
0.3%
129.1729025 1
 
0.3%
129.1726732 1
 
0.3%

통학차량운영여부
Boolean

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size490.0 B
True
242 
False
116 
ValueCountFrequency (%)
True 242
67.6%
False 116
32.4%
2024-04-18T03:12:07.849756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

인가일자
Date

Distinct308
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum1991-03-13 00:00:00
Maximum2020-08-13 00:00:00
2024-04-18T03:12:07.934869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:12:08.036749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴지시작일자
Date

MISSING 

Distinct32
Distinct (%)97.0%
Missing325
Missing (%)90.8%
Memory size2.9 KiB
Minimum2009-06-01 00:00:00
Maximum2020-02-01 00:00:00
2024-04-18T03:12:08.120891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:12:08.217675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

휴지종료일자
Date

MISSING 

Distinct32
Distinct (%)97.0%
Missing325
Missing (%)90.8%
Memory size2.9 KiB
Minimum2010-01-26 00:00:00
Maximum2020-05-31 00:00:00
2024-04-18T03:12:08.306381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:12:08.405418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

폐지일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing358
Missing (%)100.0%
Memory size3.3 KiB

제공서비스
Categorical

IMBALANCE 

Distinct10
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
일반
309 
시간연장형
34 
장애아통합
 
5
시간연장형+24시간
 
2
장애아전문
 
2
Other values (5)
 
6

Length

Max length17
Median length2
Mean length2.527933
Min length2

Unique

Unique4 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반 309
86.3%
시간연장형 34
 
9.5%
장애아통합 5
 
1.4%
시간연장형+24시간 2
 
0.6%
장애아전문 2
 
0.6%
영아전담 2
 
0.6%
장애아통합+시간연장형 1
 
0.3%
장애아통합+시간연장형+시간제보육 1
 
0.3%
영아전담+시간연장형 1
 
0.3%
장애아통합+시간연장형+24시간 1
 
0.3%

Length

2024-04-18T03:12:08.525653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:12:08.619535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 309
86.3%
시간연장형 34
 
9.5%
장애아통합 5
 
1.4%
시간연장형+24시간 2
 
0.6%
장애아전문 2
 
0.6%
영아전담 2
 
0.6%
장애아통합+시간연장형 1
 
0.3%
장애아통합+시간연장형+시간제보육 1
 
0.3%
영아전담+시간연장형 1
 
0.3%
장애아통합+시간연장형+24시간 1
 
0.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum2020-09-25 00:00:00
Maximum2020-09-25 00:00:00
2024-04-18T03:12:08.704389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:12:08.769426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

시도명시군구명어린이집코드어린이집명어린이집유형구분운영현황우편번호상세주소어린이집전화번호어린이집팩스번호홈페이지주소보육실수보육실 면적놀이터수CCTV설치수보육교직원수정원수현원수위도경도통학차량운영여부인가일자휴지시작일자휴지종료일자폐지일자제공서비스데이터기준일자
0경상남도양산시2938001734DTR직장어린이집직장Y50571경상남도 양산시 양산대로 1111055-365-5322055-365-5333<NA>42450<NA>239135.368204129.042774N2020-02-27<NA><NA><NA>일반2020-09-25
1경상남도양산시6218007762EG꿈나무어린이집가정Y50649경상남도 양산시 동면 금오16길 100 310동 103호(이지3차)070-8623-2030070-8623-2030<NA>4590<NA>5201335.323851129.02501N2007-02-082017-03-102018-03-09<NA>일반2020-09-25
2경상남도양산시6218014507LH어린이집민간Y50550경상남도 양산시 배움터길 11 휴먼시아아파트 관리동055-363-7505055-362-7505<NA>62151<NA>9492635.379323129.146009Y2010-09-06<NA><NA><NA>일반2020-09-25
3경상남도양산시7178000186L해바라기어린이집가정Y50595경상남도 양산시 물금읍 초장길 10 .055-366-4657055-366-4657<NA>3850<NA>5201835.334377129.009871N2009-10-15<NA><NA><NA>일반2020-09-25
4경상남도양산시2078001897N젤어린이집직장Y50596경상남도 양산시 물금읍 오봉로 192 넥센사원아파트 관리동내055-362-5180055-362-5180<NA>51730<NA>8413935.333736129.007655N2017-03-03<NA><NA><NA>일반2020-09-25
5경상남도양산시1108016101U&I아이맘어린이집가정Y50655경상남도 양산시 물금읍 물금로 76 105동 103호(한양수자인더퍼스트)055-362-5455055-362-5455<NA>3620<NA>3191335.311801128.992051N2008-09-02<NA><NA><NA>일반2020-09-25
6경상남도양산시6218020580e편한세상 남양산2차어린이집민간Y50651경상남도 양산시 동면 금오13길 71 e편한세상 남양산2차 관리동 내070-8847-0801055-383-0801<NA>2841<NA>8312535.320552129.022041N2013-07-05<NA><NA><NA>일반2020-09-25
7경상남도양산시6288000023e편한세상남양산어린이집민간Y50650경상남도 양산시 동면 금오16길 65 e편한세상 남양산1차 관리동 내070-8866-2221055-365-2221<NA>21581<NA>12373335.321172129.029335N2013-07-05<NA><NA><NA>일반2020-09-25
8경상남도양산시6218201874가람어린이집사회복지법인Y50580경상남도 양산시 상북면 감결1길 18055-375-9295055-374-9296<NA>64501<NA>111244835.390802129.049354Y1994-04-25<NA><NA><NA>일반2020-09-25
9경상남도양산시6218007331개나리어린이집가정Y50533경상남도 양산시 삼호로 70 102동 102호(삼호동, 웅상신도시푸르지오)055-910-9102055-910-7779<NA>3500<NA>6191535.406716129.172673Y2007-03-16<NA><NA><NA>일반2020-09-25
시도명시군구명어린이집코드어린이집명어린이집유형구분운영현황우편번호상세주소어린이집전화번호어린이집팩스번호홈페이지주소보육실수보육실 면적놀이터수CCTV설치수보육교직원수정원수현원수위도경도통학차량운영여부인가일자휴지시작일자휴지종료일자폐지일자제공서비스데이터기준일자
348경상남도양산시6218019763현대어린이집가정Y50649경상남도 양산시 동면 금오16길 100 306동 104호(이지더원3차)055-385-14330504-140-2634<NA>3590<NA>7202035.334953<NA>Y2000-06-05<NA><NA><NA>일반2020-09-25
349경상남도양산시8078000679호크마어린이집민간Y50652경상남도 양산시 물금읍 서들로 179 111동 1층055-367-5790055-367-5790<NA>41780<NA>10393835.314377129.007335Y2014-10-31<NA><NA><NA>일반2020-09-25
350경상남도양산시6218004426화개어린이집가정Y50628경상남도 양산시 양주로 113 103동 103호(중부동, 양산신도시뜰안채아파트)055-386-9591<NA><NA>3830<NA>214135.336649129.031265N2000-06-30<NA><NA><NA>시간연장형2020-09-25
351경상남도양산시6218010331화성미리내어린이집가정Y50535경상남도 양산시 대운5길 7 104동 102호(명동, 화성파크드림)055-362-8757055-362-8757<NA>3510<NA>5191535.402736129.17144Y2008-12-19<NA><NA><NA>일반2020-09-25
352경상남도양산시6808000040화성파크어린이집민간Y50535경상남도 양산시 대운5길 7 화성파크드림아파트 105동 (명동)055-386-6654<NA><NA>41280<NA>9302535.400966129.172305Y2010-03-31<NA><NA><NA>일반2020-09-25
353경상남도양산시6218009310환희어린이집가정Y50634경상남도 양산시 양주로 94 208동 106호(남부동, 현대롯데청어람)055-388-37110504-228-3711<NA>31250<NA>6201635.331814129.033753Y2008-05-23<NA><NA><NA>일반2020-09-25
354경상남도양산시1538001737황금빛어린이집가정Y50605경상남도 양산시 물금읍 신주로 35 106동 104호(e편한세상2차)055-363-2670055-913-2671<NA>3830<NA>220035.334471129.015912Y2008-03-10<NA><NA><NA>일반2020-09-25
355경상남도양산시8448001338효성보예어린이집가정Y50609경상남도 양산시 물금읍 범어로 33 102동 102호(범어리, 효성백년가약아파트)055-366-1101055-366-1101<NA>41281<NA>420935.332008129.012597N2008-01-16<NA><NA><NA>일반2020-09-25
356경상남도양산시6218024311효성어린이집가정Y50609경상남도 양산시 물금읍 범어로 29 107동 102호(범어리, 효성백년가약아파트)055-387-3385055-383-8877<NA>31480<NA>8202035.331156129.012364Y2008-04-30<NA><NA><NA>일반2020-09-25
357경상남도양산시6248000884효성참사랑어린이집민간Y50609경상남도 양산시 물금읍 범어로 33 효성백년가약 아파트 관리동시설 효성참사랑어린이집055-362-2331<NA><NA>41500<NA>6331935.330663129.013847Y2008-11-052020-02-012020-04-30<NA>일반2020-09-25