Overview

Dataset statistics

Number of variables15
Number of observations1385
Missing cells1603
Missing cells (%)7.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory170.5 KiB
Average record size in memory126.1 B

Variable types

Text4
Categorical3
Numeric5
Boolean1
Unsupported1
DateTime1

Dataset

Description전라북도_어린이집_20190401
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=203120

Alerts

시도명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
정원수 is highly overall correlated with 보육교직원수 and 4 other fieldsHigh correlation
보육교직원수 is highly overall correlated with 정원수 and 4 other fieldsHigh correlation
보육실수 is highly overall correlated with 정원수 and 4 other fieldsHigh correlation
CCTV설치수 is highly overall correlated with 정원수 and 2 other fieldsHigh correlation
통학차량운영여부 is highly overall correlated with 정원수 and 2 other fieldsHigh correlation
어린이집유형구분 is highly overall correlated with 놀이터수High correlation
놀이터수 is highly overall correlated with 정원수 and 3 other fieldsHigh correlation
어린이집팩스번호 has 218 (15.7%) missing valuesMissing
홈페이지주소 has 1385 (100.0%) missing valuesMissing
홈페이지주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보육실수 has 75 (5.4%) zerosZeros
CCTV설치수 has 754 (54.4%) zerosZeros
통학차량운영여부 has 195 (14.1%) zerosZeros

Reproduction

Analysis started2024-03-13 23:53:54.870519
Analysis finished2024-03-13 23:53:58.020098
Duration3.15 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

어린이집명
Text

Distinct1148
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
2024-03-14T08:53:58.194066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length7.4736462
Min length5

Characters and Unicode

Total characters10351
Distinct characters468
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique998 ?
Unique (%)72.1%

Sample

1st row서신어린이집
2nd row휴먼시아맑은샘어린이집
3rd row휴먼시아숲속어린이집
4th row휴먼시아해오름어린이집
5th row휴먼시아밝은빛어린이집
ValueCountFrequency (%)
어린이집 50
 
3.4%
아이사랑어린이집 7
 
0.5%
해바라기어린이집 7
 
0.5%
아기별어린이집 6
 
0.4%
해맑은어린이집 5
 
0.3%
솔로몬어린이집 5
 
0.3%
사과나무어린이집 5
 
0.3%
새싹어린이집 5
 
0.3%
꼬꼬마어린이집 4
 
0.3%
무지개어린이집 4
 
0.3%
Other values (1154) 1357
93.3%
2024-03-14T08:53:58.564932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 1521
 
14.7%
린 1405
 
13.6%
어 1392
 
13.4%
집 1386
 
13.4%
아 174
 
1.7%
나 106
 
1.0%
사 105
 
1.0%
랑 98
 
0.9%
리 91
 
0.9%
마 83
 
0.8%
Other values (458) 3990
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10233
98.9%
Space Separator 70
 
0.7%
Uppercase Letter 32
 
0.3%
Decimal Number 7
 
0.1%
Lowercase Letter 4
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1521
 
14.9%
린 1405
 
13.7%
어 1392
 
13.6%
집 1386
 
13.5%
아 174
 
1.7%
나 106
 
1.0%
사 105
 
1.0%
랑 98
 
1.0%
리 91
 
0.9%
마 83
 
0.8%
Other values (432) 3872
37.8%
Uppercase Letter
ValueCountFrequency (%)
C 5
15.6%
A 4
12.5%
S 3
9.4%
E 2
 
6.2%
N 2
 
6.2%
O 2
 
6.2%
Q 2
 
6.2%
Y 2
 
6.2%
W 2
 
6.2%
K 2
 
6.2%
Other values (6) 6
18.8%
Decimal Number
ValueCountFrequency (%)
2 3
42.9%
4 2
28.6%
1 1
 
14.3%
3 1
 
14.3%
Lowercase Letter
ValueCountFrequency (%)
i 2
50.0%
e 2
50.0%
Space Separator
ValueCountFrequency (%)
70
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10233
98.9%
Common 82
 
0.8%
Latin 36
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1521
 
14.9%
린 1405
 
13.7%
어 1392
 
13.6%
집 1386
 
13.5%
아 174
 
1.7%
나 106
 
1.0%
사 105
 
1.0%
랑 98
 
1.0%
리 91
 
0.9%
마 83
 
0.8%
Other values (432) 3872
37.8%
Latin
ValueCountFrequency (%)
C 5
13.9%
A 4
 
11.1%
S 3
 
8.3%
i 2
 
5.6%
E 2
 
5.6%
N 2
 
5.6%
O 2
 
5.6%
Q 2
 
5.6%
e 2
 
5.6%
Y 2
 
5.6%
Other values (8) 10
27.8%
Common
ValueCountFrequency (%)
70
85.4%
2 3
 
3.7%
) 2
 
2.4%
( 2
 
2.4%
4 2
 
2.4%
1 1
 
1.2%
3 1
 
1.2%
- 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10233
98.9%
ASCII 118
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 1521
 
14.9%
린 1405
 
13.7%
어 1392
 
13.6%
집 1386
 
13.5%
아 174
 
1.7%
나 106
 
1.0%
사 105
 
1.0%
랑 98
 
1.0%
리 91
 
0.9%
마 83
 
0.8%
Other values (432) 3872
37.8%
ASCII
ValueCountFrequency (%)
70
59.3%
C 5
 
4.2%
A 4
 
3.4%
2 3
 
2.5%
S 3
 
2.5%
) 2
 
1.7%
i 2
 
1.7%
( 2
 
1.7%
E 2
 
1.7%
N 2
 
1.7%
Other values (16) 23
 
19.5%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
전라북도
1385 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전라북도 1385
100.0%

Length

2024-03-14T08:53:58.680226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T08:53:58.754918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라북도 1385
100.0%

시군구명
Categorical

Distinct15
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
전주시 완산구
300 
전주시 덕진구
284 
군산시
223 
익산시
218 
완주군
76 
Other values (10)
284 

Length

Max length8
Median length3
Mean length4.8916968
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전주시 완산구
2nd row전주시 완산구
3rd row전주시 완산구
4th row전주시 완산구
5th row전주시 완산구

Common Values

ValueCountFrequency (%)
전주시 완산구 300
21.7%
전주시 덕진구 284
20.5%
군산시 223
16.1%
익산시 218
15.7%
완주군 76
 
5.5%
정읍시 75
 
5.4%
남원시 64
 
4.6%
김제시 48
 
3.5%
부안군 26
 
1.9%
고창군 24
 
1.7%
Other values (5) 47
 
3.4%

Length

2024-03-14T08:53:59.059003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전주시 584
29.7%
완산구 300
15.2%
덕진구 284
14.4%
군산시 223
 
11.3%
익산시 218
 
11.1%
완주군 76
 
3.9%
정읍시 75
 
3.8%
남원시 64
 
3.3%
김제시 48
 
2.4%
부안군 26
 
1.3%
Other values (6) 71
 
3.6%

어린이집유형구분
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
가정
598 
민간
469 
사회복지법인
139 
법인·단체등
91 
국공립
64 
Other values (2)
 
24

Length

Max length6
Median length2
Mean length2.7104693
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
가정 598
43.2%
민간 469
33.9%
사회복지법인 139
 
10.0%
법인·단체등 91
 
6.6%
국공립 64
 
4.6%
직장 23
 
1.7%
협동 1
 
0.1%

Length

2024-03-14T08:53:59.157482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T08:53:59.255976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정 598
43.2%
민간 469
33.9%
사회복지법인 139
 
10.0%
법인·단체등 91
 
6.6%
국공립 64
 
4.6%
직장 23
 
1.7%
협동 1
 
0.1%

정원수
Real number (ℝ)

HIGH CORRELATION 

Distinct148
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.210108
Minimum10
Maximum422
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.3 KiB
2024-03-14T08:53:59.359633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile13
Q119
median31
Q370
95-th percentile118.8
Maximum422
Range412
Interquartile range (IQR)51

Descriptive statistics

Standard deviation39.995302
Coefficient of variation (CV)0.84717666
Kurtosis9.9190856
Mean47.210108
Median Absolute Deviation (MAD)14
Skewness2.2910957
Sum65386
Variance1599.6242
MonotonicityNot monotonic
2024-03-14T08:53:59.467587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 219
 
15.8%
19 186
 
13.4%
13 76
 
5.5%
99 64
 
4.6%
49 40
 
2.9%
39 35
 
2.5%
18 24
 
1.7%
16 23
 
1.7%
17 22
 
1.6%
79 19
 
1.4%
Other values (138) 677
48.9%
ValueCountFrequency (%)
10 3
 
0.2%
11 14
 
1.0%
12 11
 
0.8%
13 76
5.5%
14 16
 
1.2%
15 9
 
0.6%
16 23
 
1.7%
17 22
 
1.6%
18 24
 
1.7%
19 186
13.4%
ValueCountFrequency (%)
422 1
0.1%
300 1
0.1%
288 1
0.1%
265 1
0.1%
250 1
0.1%
244 1
0.1%
240 1
0.1%
226 1
0.1%
214 1
0.1%
210 1
0.1%

보육교직원수
Real number (ℝ)

HIGH CORRELATION 

Distinct33
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4093863
Minimum0
Maximum38
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size12.3 KiB
2024-03-14T08:53:59.575742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q15
median7
Q311
95-th percentile18
Maximum38
Range38
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.835508
Coefficient of variation (CV)0.57501318
Kurtosis3.2159719
Mean8.4093863
Median Absolute Deviation (MAD)2
Skewness1.4425856
Sum11647
Variance23.382137
MonotonicityNot monotonic
2024-03-14T08:53:59.673103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
5 203
14.7%
6 195
14.1%
7 148
10.7%
4 113
 
8.2%
8 83
 
6.0%
10 80
 
5.8%
9 78
 
5.6%
12 66
 
4.8%
3 62
 
4.5%
11 56
 
4.0%
Other values (23) 301
21.7%
ValueCountFrequency (%)
0 2
 
0.1%
1 17
 
1.2%
2 33
 
2.4%
3 62
 
4.5%
4 113
8.2%
5 203
14.7%
6 195
14.1%
7 148
10.7%
8 83
6.0%
9 78
 
5.6%
ValueCountFrequency (%)
38 1
 
0.1%
36 1
 
0.1%
33 1
 
0.1%
31 1
 
0.1%
30 1
 
0.1%
28 1
 
0.1%
26 3
0.2%
25 3
0.2%
24 3
0.2%
23 4
0.3%

소재지도로명주소
Text

Distinct1093
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
2024-03-14T08:54:00.006947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length29
Mean length19.673646
Min length14

Characters and Unicode

Total characters27248
Distinct characters283
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique923 ?
Unique (%)66.6%

Sample

1st row전라북도 전주시 완산구 감나무로 15
2nd row전라북도 전주시 완산구 용호로 20
3rd row전라북도 전주시 완산구 호암로 2
4th row전라북도 전주시 완산구 호암로 87
5th row전라북도 전주시 완산구 호암로 88
ValueCountFrequency (%)
전라북도 1385
21.3%
전주시 584
 
9.0%
완산구 300
 
4.6%
덕진구 284
 
4.4%
군산시 223
 
3.4%
익산시 218
 
3.4%
완주군 76
 
1.2%
정읍시 75
 
1.2%
남원시 64
 
1.0%
김제시 48
 
0.7%
Other values (1358) 3238
49.9%
2024-03-14T08:54:00.526263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5112
18.8%
전 1991
 
7.3%
북 1407
 
5.2%
도 1407
 
5.2%
라 1386
 
5.1%
시 1220
 
4.5%
1 1062
 
3.9%
산 913
 
3.4%
로 834
 
3.1%
주 684
 
2.5%
Other values (273) 11232
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17489
64.2%
Space Separator 5112
 
18.8%
Decimal Number 4314
 
15.8%
Dash Punctuation 333
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 1991
 
11.4%
북 1407
 
8.0%
도 1407
 
8.0%
라 1386
 
7.9%
시 1220
 
7.0%
산 913
 
5.2%
로 834
 
4.8%
주 684
 
3.9%
길 681
 
3.9%
구 612
 
3.5%
Other values (261) 6354
36.3%
Decimal Number
ValueCountFrequency (%)
1 1062
24.6%
2 667
15.5%
3 536
12.4%
4 368
 
8.5%
5 344
 
8.0%
0 307
 
7.1%
6 290
 
6.7%
7 262
 
6.1%
9 253
 
5.9%
8 225
 
5.2%
Space Separator
ValueCountFrequency (%)
5112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 333
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17489
64.2%
Common 9759
35.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 1991
 
11.4%
북 1407
 
8.0%
도 1407
 
8.0%
라 1386
 
7.9%
시 1220
 
7.0%
산 913
 
5.2%
로 834
 
4.8%
주 684
 
3.9%
길 681
 
3.9%
구 612
 
3.5%
Other values (261) 6354
36.3%
Common
ValueCountFrequency (%)
5112
52.4%
1 1062
 
10.9%
2 667
 
6.8%
3 536
 
5.5%
4 368
 
3.8%
5 344
 
3.5%
- 333
 
3.4%
0 307
 
3.1%
6 290
 
3.0%
7 262
 
2.7%
Other values (2) 478
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17489
64.2%
ASCII 9759
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5112
52.4%
1 1062
 
10.9%
2 667
 
6.8%
3 536
 
5.5%
4 368
 
3.8%
5 344
 
3.5%
- 333
 
3.4%
0 307
 
3.1%
6 290
 
3.0%
7 262
 
2.7%
Other values (2) 478
 
4.9%
Hangul
ValueCountFrequency (%)
전 1991
 
11.4%
북 1407
 
8.0%
도 1407
 
8.0%
라 1386
 
7.9%
시 1220
 
7.0%
산 913
 
5.2%
로 834
 
4.8%
주 684
 
3.9%
길 681
 
3.9%
구 612
 
3.5%
Other values (261) 6354
36.3%

어린이집전화번호
Text

Distinct1384
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
2024-03-14T08:54:00.763767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.01083
Min length12

Characters and Unicode

Total characters16635
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

Unique1383 ?
Unique (%)99.9%

Sample

1st row063-251-5373
2nd row063-223-3883
3rd row063-223-6543
4th row063-236-0131
5th row063-223-0103
ValueCountFrequency (%)
063-625-0151 2
 
0.1%
063-915-9832 1
 
0.1%
063-857-5455 1
 
0.1%
063-835-3751 1
 
0.1%
063-832-5332 1
 
0.1%
063-832-3301 1
 
0.1%
063-833-1018 1
 
0.1%
063-831-0601 1
 
0.1%
063-832-1814 1
 
0.1%
063-852-3080 1
 
0.1%
Other values (1374) 1374
99.2%
2024-03-14T08:54:01.067137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2770
16.7%
3 2410
14.5%
6 2303
13.8%
0 2189
13.2%
2 1586
9.5%
5 1133
6.8%
4 1043
 
6.3%
8 875
 
5.3%
7 871
 
5.2%
1 859
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13865
83.3%
Dash Punctuation 2770
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 2410
17.4%
6 2303
16.6%
0 2189
15.8%
2 1586
11.4%
5 1133
8.2%
4 1043
7.5%
8 875
 
6.3%
7 871
 
6.3%
1 859
 
6.2%
9 596
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 2770
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16635
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2770
16.7%
3 2410
14.5%
6 2303
13.8%
0 2189
13.2%
2 1586
9.5%
5 1133
6.8%
4 1043
 
6.3%
8 875
 
5.3%
7 871
 
5.2%
1 859
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16635
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2770
16.7%
3 2410
14.5%
6 2303
13.8%
0 2189
13.2%
2 1586
9.5%
5 1133
6.8%
4 1043
 
6.3%
8 875
 
5.3%
7 871
 
5.2%
1 859
 
5.2%

어린이집팩스번호
Text

MISSING 

Distinct1154
Distinct (%)98.9%
Missing218
Missing (%)15.7%
Memory size10.9 KiB
2024-03-14T08:54:01.323405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.965724
Min length2

Characters and Unicode

Total characters13964
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

Unique1143 ?
Unique (%)97.9%

Sample

1st row063 251 5374
2nd row063 223 3887
3rd row063 223 6542
4th row063 236 0132
5th row063 223 0132
ValueCountFrequency (%)
063 1139
32.9%
226 22
 
0.6%
471 21
 
0.6%
245 21
 
0.6%
228 20
 
0.6%
227 18
 
0.5%
275 18
 
0.5%
467 16
 
0.5%
241 16
 
0.5%
462 15
 
0.4%
Other values (1218) 2161
62.3%
2024-03-14T08:54:01.665007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2300
16.5%
3 2048
14.7%
6 1916
13.7%
0 1801
12.9%
2 1331
9.5%
4 930
6.7%
5 892
 
6.4%
7 750
 
5.4%
8 741
 
5.3%
1 716
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11664
83.5%
Space Separator 2300
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 2048
17.6%
6 1916
16.4%
0 1801
15.4%
2 1331
11.4%
4 930
8.0%
5 892
7.6%
7 750
 
6.4%
8 741
 
6.4%
1 716
 
6.1%
9 539
 
4.6%
Space Separator
ValueCountFrequency (%)
2300
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13964
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2300
16.5%
3 2048
14.7%
6 1916
13.7%
0 1801
12.9%
2 1331
9.5%
4 930
6.7%
5 892
 
6.4%
7 750
 
5.4%
8 741
 
5.3%
1 716
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13964
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2300
16.5%
3 2048
14.7%
6 1916
13.7%
0 1801
12.9%
2 1331
9.5%
4 930
6.7%
5 892
 
6.4%
7 750
 
5.4%
8 741
 
5.3%
1 716
 
5.1%

보육실수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct20
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2361011
Minimum0
Maximum30
Zeros75
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size12.3 KiB
2024-03-14T08:54:01.773907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median4
Q35
95-th percentile8
Maximum30
Range30
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.3736564
Coefficient of variation (CV)0.5603399
Kurtosis14.51169
Mean4.2361011
Median Absolute Deviation (MAD)1
Skewness2.2074633
Sum5867
Variance5.6342449
MonotonicityNot monotonic
2024-03-14T08:54:01.864566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
3 562
40.6%
4 205
 
14.8%
5 157
 
11.3%
6 151
 
10.9%
7 90
 
6.5%
0 75
 
5.4%
2 47
 
3.4%
8 39
 
2.8%
9 23
 
1.7%
10 10
 
0.7%
Other values (10) 26
 
1.9%
ValueCountFrequency (%)
0 75
 
5.4%
1 3
 
0.2%
2 47
 
3.4%
3 562
40.6%
4 205
 
14.8%
5 157
 
11.3%
6 151
 
10.9%
7 90
 
6.5%
8 39
 
2.8%
9 23
 
1.7%
ValueCountFrequency (%)
30 1
 
0.1%
20 2
 
0.1%
18 1
 
0.1%
16 1
 
0.1%
15 1
 
0.1%
14 1
 
0.1%
13 5
0.4%
12 5
0.4%
11 6
0.4%
10 10
0.7%

놀이터수
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
False
709 
True
676 
ValueCountFrequency (%)
False 709
51.2%
True 676
48.8%
2024-03-14T08:54:01.950170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

CCTV설치수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct28
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7805054
Minimum0
Maximum33
Zeros754
Zeros (%)54.4%
Negative0
Negative (%)0.0%
Memory size12.3 KiB
2024-03-14T08:54:02.044216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37
95-th percentile15
Maximum33
Range33
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.4212221
Coefficient of variation (CV)1.433994
Kurtosis3.1165534
Mean3.7805054
Median Absolute Deviation (MAD)0
Skewness1.6566536
Sum5236
Variance29.389649
MonotonicityNot monotonic
2024-03-14T08:54:02.147053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 754
54.4%
4 119
 
8.6%
8 85
 
6.1%
9 54
 
3.9%
7 38
 
2.7%
6 37
 
2.7%
16 36
 
2.6%
12 31
 
2.2%
3 29
 
2.1%
5 27
 
1.9%
Other values (18) 175
 
12.6%
ValueCountFrequency (%)
0 754
54.4%
1 26
 
1.9%
2 22
 
1.6%
3 29
 
2.1%
4 119
 
8.6%
5 27
 
1.9%
6 37
 
2.7%
7 38
 
2.7%
8 85
 
6.1%
9 54
 
3.9%
ValueCountFrequency (%)
33 1
 
0.1%
32 3
0.2%
28 2
 
0.1%
27 1
 
0.1%
25 2
 
0.1%
24 1
 
0.1%
22 5
0.4%
20 5
0.4%
19 4
0.3%
18 2
 
0.1%

통학차량운영여부
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct8
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1537906
Minimum0
Maximum8
Zeros195
Zeros (%)14.1%
Negative0
Negative (%)0.0%
Memory size12.3 KiB
2024-03-14T08:54:02.232340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile3
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.78287422
Coefficient of variation (CV)0.67852366
Kurtosis6.7438287
Mean1.1537906
Median Absolute Deviation (MAD)0
Skewness1.5511899
Sum1598
Variance0.61289205
MonotonicityNot monotonic
2024-03-14T08:54:02.313615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 883
63.8%
2 230
 
16.6%
0 195
 
14.1%
3 60
 
4.3%
4 14
 
1.0%
6 1
 
0.1%
8 1
 
0.1%
5 1
 
0.1%
ValueCountFrequency (%)
0 195
 
14.1%
1 883
63.8%
2 230
 
16.6%
3 60
 
4.3%
4 14
 
1.0%
5 1
 
0.1%
6 1
 
0.1%
8 1
 
0.1%
ValueCountFrequency (%)
8 1
 
0.1%
6 1
 
0.1%
5 1
 
0.1%
4 14
 
1.0%
3 60
 
4.3%
2 230
 
16.6%
1 883
63.8%
0 195
 
14.1%

홈페이지주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1385
Missing (%)100.0%
Memory size12.3 KiB

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
Minimum2019-04-01 00:00:00
Maximum2019-04-01 00:00:00
2024-03-14T08:54:02.400394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:54:02.518818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-14T08:53:57.325325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:53:55.582830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:53:56.055403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:53:56.533582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:53:56.933608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:53:57.407125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:53:55.659511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:53:56.142323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:53:56.602566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:53:57.006853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:53:57.489336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:53:55.735520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:53:56.229381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:53:56.687300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:53:57.082635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:53:57.568449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:53:55.836224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:53:56.327947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:53:56.770322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:53:57.155859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:53:57.644326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:53:55.955688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:53:56.415937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:53:56.853301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:53:57.234687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T08:54:02.617417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명어린이집유형구분정원수보육교직원수보육실수놀이터수CCTV설치수통학차량운영여부
시군구명1.0000.3570.0820.0000.0770.3290.1730.071
어린이집유형구분0.3571.0000.4590.5460.3990.5850.4230.411
정원수0.0820.4591.0000.8320.8220.6910.6990.789
보육교직원수0.0000.5460.8321.0000.7330.7130.7630.735
보육실수0.0770.3990.8220.7331.0000.6800.6320.850
놀이터수0.3290.5850.6910.7130.6801.0000.5720.641
CCTV설치수0.1730.4230.6990.7630.6320.5721.0000.601
통학차량운영여부0.0710.4110.7890.7350.8500.6410.6011.000
2024-03-14T08:54:02.750911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
놀이터수시군구명어린이집유형구분
놀이터수1.0000.2990.629
시군구명0.2991.0000.170
어린이집유형구분0.6290.1701.000
2024-03-14T08:54:02.887028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정원수보육교직원수보육실수CCTV설치수통학차량운영여부시군구명어린이집유형구분놀이터수
정원수1.0000.8130.7540.6030.5700.0330.2630.699
보육교직원수0.8131.0000.6660.5730.5350.0000.3140.556
보육실수0.7540.6661.0000.5460.6140.0690.3060.588
CCTV설치수0.6030.5730.5461.0000.3650.0650.2300.441
통학차량운영여부0.5700.5350.6140.3651.0000.0300.2350.485
시군구명0.0330.0000.0690.0650.0301.0000.1700.299
어린이집유형구분0.2630.3140.3060.2300.2350.1701.0000.629
놀이터수0.6990.5560.5880.4410.4850.2990.6291.000

Missing values

2024-03-14T08:53:57.770472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T08:53:57.947354image/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

어린이집명시도명시군구명어린이집유형구분정원수보육교직원수소재지도로명주소어린이집전화번호어린이집팩스번호보육실수놀이터수CCTV설치수통학차량운영여부홈페이지주소데이터기준일자
0서신어린이집전라북도전주시 완산구국공립8518전라북도 전주시 완산구 감나무로 15063-251-5373063 251 53745Y121<NA>2019-04-01
1휴먼시아맑은샘어린이집전라북도전주시 완산구국공립3412전라북도 전주시 완산구 용호로 20063-223-3883063 223 38874N70<NA>2019-04-01
2휴먼시아숲속어린이집전라북도전주시 완산구국공립3713전라북도 전주시 완산구 호암로 2063-223-6543063 223 65423N80<NA>2019-04-01
3휴먼시아해오름어린이집전라북도전주시 완산구국공립4715전라북도 전주시 완산구 호암로 87063-236-0131063 236 01325N80<NA>2019-04-01
4휴먼시아밝은빛어린이집전라북도전주시 완산구국공립4712전라북도 전주시 완산구 호암로 88063-223-0103063 223 01324N60<NA>2019-04-01
5아기천사어린이집전라북도전주시 완산구사회복지법인5914전라북도 전주시 완산구 외칠봉1길 17063-282-5629063 282 56276Y142<NA>2019-04-01
6바울어린이집전라북도전주시 완산구사회복지법인14121전라북도 전주시 완산구 용머리로 228063-287-1005063 287 10968Y163<NA>2019-04-01
7상원어린이집전라북도전주시 완산구사회복지법인7316전라북도 전주시 완산구 천잠로 545-7063-253-3138063 253 31397Y166<NA>2019-04-01
8중산어린이집전라북도전주시 완산구사회복지법인15716전라북도 전주시 완산구 서원로 334063-283-6667063 285 17638Y32<NA>2019-04-01
9명재어린이집전라북도전주시 완산구사회복지법인12018전라북도 전주시 완산구 삼천천변2길 36-3063-221-2228063 224 94967Y42<NA>2019-04-01
어린이집명시도명시군구명어린이집유형구분정원수보육교직원수소재지도로명주소어린이집전화번호어린이집팩스번호보육실수놀이터수CCTV설치수통학차량운영여부홈페이지주소데이터기준일자
1375엄마사랑어린이집전라북도부안군민간4514전라북도 부안군 부안읍 석정로 78063-584-9423063 584 43277N41<NA>2019-04-01
1376해바라기어린이집전라북도부안군민간997전라북도 부안군 부안읍 부령로 48063-584-8131063 584 81315Y01<NA>2019-04-01
1377언덕위어린이집전라북도부안군민간8313전라북도 부안군 부안읍 석정로 49-6063-581-2595063 581 25957Y32<NA>2019-04-01
1378비타민 어린이집전라북도부안군민간308전라북도 부안군 부안읍 봉신길 33-15063-581-3008063 581 30784Y01<NA>2019-04-01
1379함께하는어린이집전라북도부안군민간237전라북도 부안군 백산면 임현로 8063-582-0391063 582 03924N01<NA>2019-04-01
1380피터팬어린이집전라북도부안군민간3910전라북도 부안군 부안읍 석정로 262063-583-7976063 583 79864Y61<NA>2019-04-01
1381아기별어린이집전라북도부안군가정206전라북도 부안군 부안읍 부풍로 26063-584-0579063 584 05752N01<NA>2019-04-01
1382대성어린이집전라북도부안군가정202전라북도 부안군 진서면 곰소1길 6-20063-583-8432063 583 84322N01<NA>2019-04-01
1383하얀어린이집전라북도부안군가정207전라북도 부안군 부안읍 오리정로 172 하이안아파트 101동 109호063-582-2777063 582 27793Y01<NA>2019-04-01
1384참프레어린이집전라북도부안군직장315전라북도 부안군 행안면 옥여길 32-29063-580-6456063 580 64553N30<NA>2019-04-01