Overview

Dataset statistics

Number of variables15
Number of observations611
Missing cells2444
Missing cells (%)26.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory76.5 KiB
Average record size in memory128.2 B

Variable types

Text3
Categorical5
Numeric3
Unsupported4

Dataset

Description전라북도 전주시 내 어린이집을 제공하며 어린이집명, 어린이집유형구분, 어린이집전화번호, 어린이집팩스번호, 보육실수 등을 제공합니다
Author전라북도
URLhttps://www.bigdatahub.go.kr/index.jeonbuk?startPage=1&menuCd=DOM_000000103007001000&pListTypeStr=&pId=15011972

Alerts

시도명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
정원수 is highly overall correlated with 보육교직원수 and 2 other fieldsHigh correlation
보육교직원수 is highly overall correlated with 정원수 and 2 other fieldsHigh correlation
CCTV설치수 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 611 (100.0%) missing valuesMissing
보육실수 has 611 (100.0%) missing valuesMissing
통학차량운영여부 has 611 (100.0%) missing valuesMissing
홈페이지주소 has 611 (100.0%) missing valuesMissing
어린이집전화번호 has unique valuesUnique
어린이집팩스번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보육실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
통학차량운영여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-13 23:49:57.926015
Analysis finished2024-03-13 23:49:59.683970
Duration1.76 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

어린이집명
Text

Distinct609
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-03-14T08:49:59.833806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length7.5482815
Min length5

Characters and Unicode

Total characters4612
Distinct characters373
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

Unique607 ?
Unique (%)99.3%

Sample

1st rowe편한세상어린이집
2nd rowNPS국민연금어린이집
3rd rowSK뷰 생글어린이집
4th row가나어린이집
5th row가람어린이집
ValueCountFrequency (%)
어린이집 15
 
2.4%
꼬마또래어린이집 2
 
0.3%
아이들세상어린이집 2
 
0.3%
숲속어린이집 2
 
0.3%
작은서전주어린이집 1
 
0.2%
이안키즈어린이집 1
 
0.2%
전북대학교보육교사교육원부설어린이집 1
 
0.2%
자연생활어린이집 1
 
0.2%
자이으뜸 1
 
0.2%
작은사랑어린이집 1
 
0.2%
Other values (603) 603
95.7%
2024-03-14T08:50:00.193157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 674
 
14.6%
린 624
 
13.5%
어 614
 
13.3%
집 612
 
13.3%
아 80
 
1.7%
랑 47
 
1.0%
리 44
 
1.0%
사 41
 
0.9%
가 40
 
0.9%
마 40
 
0.9%
Other values (363) 1796
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4573
99.2%
Space Separator 19
 
0.4%
Uppercase Letter 11
 
0.2%
Decimal Number 4
 
0.1%
Lowercase Letter 2
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 674
 
14.7%
린 624
 
13.6%
어 614
 
13.4%
집 612
 
13.4%
아 80
 
1.7%
랑 47
 
1.0%
리 44
 
1.0%
사 41
 
0.9%
가 40
 
0.9%
마 40
 
0.9%
Other values (345) 1757
38.4%
Uppercase Letter
ValueCountFrequency (%)
S 2
18.2%
A 1
9.1%
C 1
9.1%
W 1
9.1%
Y 1
9.1%
Q 1
9.1%
E 1
9.1%
K 1
9.1%
P 1
9.1%
N 1
9.1%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
4 2
50.0%
Lowercase Letter
ValueCountFrequency (%)
i 1
50.0%
e 1
50.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4573
99.2%
Common 26
 
0.6%
Latin 13
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 674
 
14.7%
린 624
 
13.6%
어 614
 
13.4%
집 612
 
13.4%
아 80
 
1.7%
랑 47
 
1.0%
리 44
 
1.0%
사 41
 
0.9%
가 40
 
0.9%
마 40
 
0.9%
Other values (345) 1757
38.4%
Latin
ValueCountFrequency (%)
S 2
15.4%
i 1
7.7%
A 1
7.7%
C 1
7.7%
W 1
7.7%
Y 1
7.7%
e 1
7.7%
Q 1
7.7%
E 1
7.7%
K 1
7.7%
Other values (2) 2
15.4%
Common
ValueCountFrequency (%)
19
73.1%
2 2
 
7.7%
4 2
 
7.7%
( 1
 
3.8%
- 1
 
3.8%
) 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4573
99.2%
ASCII 39
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 674
 
14.7%
린 624
 
13.6%
어 614
 
13.4%
집 612
 
13.4%
아 80
 
1.7%
랑 47
 
1.0%
리 44
 
1.0%
사 41
 
0.9%
가 40
 
0.9%
마 40
 
0.9%
Other values (345) 1757
38.4%
ASCII
ValueCountFrequency (%)
19
48.7%
2 2
 
5.1%
S 2
 
5.1%
4 2
 
5.1%
( 1
 
2.6%
- 1
 
2.6%
i 1
 
2.6%
) 1
 
2.6%
A 1
 
2.6%
C 1
 
2.6%
Other values (8) 8
20.5%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
전라북도
611 

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 611
100.0%

Length

2024-03-14T08:50:00.311177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T08:50:00.389360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라북도 611
100.0%

시군구명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
전주시 완산구
318 
전주시 덕진구
293 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전주시 완산구 318
52.0%
전주시 덕진구 293
48.0%

Length

2024-03-14T08:50:00.472069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T08:50:00.549038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전주시 611
50.0%
완산구 318
26.0%
덕진구 293
24.0%

어린이집유형구분
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
가정
327 
민간
209 
사회복지법인
38 
법인·단체
 
17
직장
 
11
Other values (2)
 
9

Length

Max length6
Median length2
Mean length2.3453355
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
가정 327
53.5%
민간 209
34.2%
사회복지법인 38
 
6.2%
법인·단체 17
 
2.8%
직장 11
 
1.8%
국공립 8
 
1.3%
협동 1
 
0.2%

Length

2024-03-14T08:50:00.649563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T08:50:00.750946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정 327
53.5%
민간 209
34.2%
사회복지법인 38
 
6.2%
법인·단체 17
 
2.8%
직장 11
 
1.8%
국공립 8
 
1.3%
협동 1
 
0.2%

정원수
Real number (ℝ)

HIGH CORRELATION 

Distinct110
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.0982
Minimum10
Maximum422
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-03-14T08:50:00.854802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile13
Q119
median20
Q349
95-th percentile113
Maximum422
Range412
Interquartile range (IQR)30

Descriptive statistics

Standard deviation44.238773
Coefficient of variation (CV)1.0264645
Kurtosis15.41484
Mean43.0982
Median Absolute Deviation (MAD)7
Skewness3.1805756
Sum26333
Variance1957.069
MonotonicityNot monotonic
2024-03-14T08:50:01.007585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19 122
20.0%
20 116
19.0%
13 50
 
8.2%
99 31
 
5.1%
49 16
 
2.6%
48 10
 
1.6%
17 10
 
1.6%
39 10
 
1.6%
16 9
 
1.5%
18 8
 
1.3%
Other values (100) 229
37.5%
ValueCountFrequency (%)
10 1
 
0.2%
11 6
 
1.0%
12 3
 
0.5%
13 50
8.2%
14 3
 
0.5%
15 1
 
0.2%
16 9
 
1.5%
17 10
 
1.6%
18 8
 
1.3%
19 122
20.0%
ValueCountFrequency (%)
422 1
0.2%
300 1
0.2%
288 1
0.2%
265 1
0.2%
250 2
0.3%
245 1
0.2%
240 1
0.2%
214 1
0.2%
210 1
0.2%
200 1
0.2%

보육교직원수
Real number (ℝ)

HIGH CORRELATION 

Distinct30
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.2716858
Minimum0
Maximum38
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-03-14T08:50:01.144648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q39
95-th percentile16
Maximum38
Range38
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.8964524
Coefficient of variation (CV)0.67335864
Kurtosis7.0636447
Mean7.2716858
Median Absolute Deviation (MAD)2
Skewness2.095497
Sum4443
Variance23.975246
MonotonicityNot monotonic
2024-03-14T08:50:01.300357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
5 109
17.8%
6 82
13.4%
4 77
12.6%
3 52
8.5%
7 40
 
6.5%
9 34
 
5.6%
8 30
 
4.9%
2 28
 
4.6%
12 25
 
4.1%
10 24
 
3.9%
Other values (20) 110
18.0%
ValueCountFrequency (%)
0 1
 
0.2%
1 15
 
2.5%
2 28
 
4.6%
3 52
8.5%
4 77
12.6%
5 109
17.8%
6 82
13.4%
7 40
 
6.5%
8 30
 
4.9%
9 34
 
5.6%
ValueCountFrequency (%)
38 1
 
0.2%
37 1
 
0.2%
34 1
 
0.2%
28 1
 
0.2%
26 2
0.3%
25 1
 
0.2%
23 2
0.3%
22 4
0.7%
21 1
 
0.2%
20 2
0.3%

소재지도로명주소
Text

Distinct610
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-03-14T08:50:01.585830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length49
Mean length38.1473
Min length19

Characters and Unicode

Total characters23308
Distinct characters314
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique609 ?
Unique (%)99.7%

Sample

1st row전라북도 전주시 완산구 여울로 161 관리동(서신동, e편한세상)
2nd row전라북도 전주시 덕진구 기지로 180
3rd row전라북도 전주시 완산구 태평2길 22 관리동(태평동, 태평SKVIEW)
4th row전라북도 전주시 덕진구 안덕원1길 41 (우아동3가)
5th row전라북도 전주시 완산구 정동길 1-8 (삼천동2가)
ValueCountFrequency (%)
전주시 612
 
13.7%
전라북도 611
 
13.7%
완산구 318
 
7.1%
덕진구 294
 
6.6%
101동 43
 
1.0%
102동 35
 
0.8%
103동 33
 
0.7%
관리동 32
 
0.7%
평화동2가 23
 
0.5%
105동 22
 
0.5%
Other values (1048) 2431
54.6%
2024-03-14T08:50:01.962230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3847
 
16.5%
1 1391
 
6.0%
전 1252
 
5.4%
동 1037
 
4.4%
0 706
 
3.0%
주 661
 
2.8%
시 651
 
2.8%
2 632
 
2.7%
북 628
 
2.7%
구 628
 
2.7%
Other values (304) 11875
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13844
59.4%
Decimal Number 4139
 
17.8%
Space Separator 3847
 
16.5%
Close Punctuation 495
 
2.1%
Open Punctuation 495
 
2.1%
Other Punctuation 328
 
1.4%
Dash Punctuation 135
 
0.6%
Uppercase Letter 22
 
0.1%
Lowercase Letter 2
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 1252
 
9.0%
동 1037
 
7.5%
주 661
 
4.8%
시 651
 
4.7%
북 628
 
4.5%
구 628
 
4.5%
라 621
 
4.5%
도 615
 
4.4%
가 515
 
3.7%
산 433
 
3.1%
Other values (274) 6803
49.1%
Uppercase Letter
ValueCountFrequency (%)
L 4
18.2%
H 4
18.2%
C 3
13.6%
K 3
13.6%
S 2
9.1%
B 1
 
4.5%
W 1
 
4.5%
I 1
 
4.5%
E 1
 
4.5%
V 1
 
4.5%
Decimal Number
ValueCountFrequency (%)
1 1391
33.6%
0 706
17.1%
2 632
15.3%
3 410
 
9.9%
5 243
 
5.9%
4 237
 
5.7%
6 160
 
3.9%
7 149
 
3.6%
8 108
 
2.6%
9 103
 
2.5%
Other Punctuation
ValueCountFrequency (%)
, 322
98.2%
/ 4
 
1.2%
@ 2
 
0.6%
Space Separator
ValueCountFrequency (%)
3847
100.0%
Close Punctuation
ValueCountFrequency (%)
) 495
100.0%
Open Punctuation
ValueCountFrequency (%)
( 495
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 135
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13844
59.4%
Common 9439
40.5%
Latin 25
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 1252
 
9.0%
동 1037
 
7.5%
주 661
 
4.8%
시 651
 
4.7%
북 628
 
4.5%
구 628
 
4.5%
라 621
 
4.5%
도 615
 
4.4%
가 515
 
3.7%
산 433
 
3.1%
Other values (274) 6803
49.1%
Common
ValueCountFrequency (%)
3847
40.8%
1 1391
 
14.7%
0 706
 
7.5%
2 632
 
6.7%
) 495
 
5.2%
( 495
 
5.2%
3 410
 
4.3%
, 322
 
3.4%
5 243
 
2.6%
4 237
 
2.5%
Other values (7) 661
 
7.0%
Latin
ValueCountFrequency (%)
L 4
16.0%
H 4
16.0%
C 3
12.0%
K 3
12.0%
S 2
8.0%
e 2
8.0%
B 1
 
4.0%
W 1
 
4.0%
Ⅱ 1
 
4.0%
I 1
 
4.0%
Other values (3) 3
12.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13844
59.4%
ASCII 9463
40.6%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3847
40.7%
1 1391
 
14.7%
0 706
 
7.5%
2 632
 
6.7%
) 495
 
5.2%
( 495
 
5.2%
3 410
 
4.3%
, 322
 
3.4%
5 243
 
2.6%
4 237
 
2.5%
Other values (19) 685
 
7.2%
Hangul
ValueCountFrequency (%)
전 1252
 
9.0%
동 1037
 
7.5%
주 661
 
4.8%
시 651
 
4.7%
북 628
 
4.5%
구 628
 
4.5%
라 621
 
4.5%
도 615
 
4.4%
가 515
 
3.7%
산 433
 
3.1%
Other values (274) 6803
49.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

어린이집전화번호
Text

UNIQUE 

Distinct611
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-03-14T08:50:02.180305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.013093
Min length12

Characters and Unicode

Total characters7340
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

Unique611 ?
Unique (%)100.0%

Sample

1st row063-251-2131
2nd row063-713-6888
3rd row063-277-4879
4th row063-244-1355
5th row063-229-6775
ValueCountFrequency (%)
063-251-2131 1
 
0.2%
063-242-2050 1
 
0.2%
063-253-0125 1
 
0.2%
063-245-7942 1
 
0.2%
063-254-4369 1
 
0.2%
063-905-3725 1
 
0.2%
063-214-7211 1
 
0.2%
063-224-0030 1
 
0.2%
063-226-1331 1
 
0.2%
063-212-3927 1
 
0.2%
Other values (601) 601
98.4%
2024-03-14T08:50:02.514242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1222
16.6%
2 1056
14.4%
0 984
13.4%
3 980
13.4%
6 910
12.4%
7 442
 
6.0%
5 416
 
5.7%
4 393
 
5.4%
1 376
 
5.1%
8 305
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6118
83.4%
Dash Punctuation 1222
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1056
17.3%
0 984
16.1%
3 980
16.0%
6 910
14.9%
7 442
7.2%
5 416
 
6.8%
4 393
 
6.4%
1 376
 
6.1%
8 305
 
5.0%
9 256
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 1222
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7340
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1222
16.6%
2 1056
14.4%
0 984
13.4%
3 980
13.4%
6 910
12.4%
7 442
 
6.0%
5 416
 
5.7%
4 393
 
5.4%
1 376
 
5.1%
8 305
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7340
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1222
16.6%
2 1056
14.4%
0 984
13.4%
3 980
13.4%
6 910
12.4%
7 442
 
6.0%
5 416
 
5.7%
4 393
 
5.4%
1 376
 
5.1%
8 305
 
4.2%

어린이집팩스번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing611
Missing (%)100.0%
Memory size5.5 KiB

보육실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing611
Missing (%)100.0%
Memory size5.5 KiB

놀이터수
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
0
448 
1
163 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 448
73.3%
1 163
 
26.7%

Length

2024-03-14T08:50:02.632431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T08:50:02.719447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 448
73.3%
1 163
 
26.7%

CCTV설치수
Real number (ℝ)

HIGH CORRELATION 

Distinct27
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.4337152
Minimum0
Maximum33
Zeros2
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-03-14T08:50:02.797995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q14
median4
Q38
95-th percentile15
Maximum33
Range33
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.4368179
Coefficient of variation (CV)0.68961988
Kurtosis9.3582445
Mean6.4337152
Median Absolute Deviation (MAD)1
Skewness2.6734904
Sum3931
Variance19.685353
MonotonicityNot monotonic
2024-03-14T08:50:02.891313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
4 297
48.6%
5 62
 
10.1%
6 41
 
6.7%
8 37
 
6.1%
3 29
 
4.7%
10 28
 
4.6%
7 17
 
2.8%
16 15
 
2.5%
11 15
 
2.5%
9 14
 
2.3%
Other values (17) 56
 
9.2%
ValueCountFrequency (%)
0 2
 
0.3%
2 2
 
0.3%
3 29
 
4.7%
4 297
48.6%
5 62
 
10.1%
6 41
 
6.7%
7 17
 
2.8%
8 37
 
6.1%
9 14
 
2.3%
10 28
 
4.6%
ValueCountFrequency (%)
33 1
0.2%
32 2
0.3%
31 1
0.2%
28 1
0.2%
26 1
0.2%
25 2
0.3%
23 1
0.2%
22 2
0.3%
21 1
0.2%
20 2
0.3%

통학차량운영여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing611
Missing (%)100.0%
Memory size5.5 KiB

홈페이지주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing611
Missing (%)100.0%
Memory size5.5 KiB

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2018-08-20
611 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018-08-20
2nd row2018-08-20
3rd row2018-08-20
4th row2018-08-20
5th row2018-08-20

Common Values

ValueCountFrequency (%)
2018-08-20 611
100.0%

Length

2024-03-14T08:50:02.987151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T08:50:03.075096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-20 611
100.0%

Interactions

2024-03-14T08:49:58.909582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:49:58.435075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:49:58.650544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:49:59.012287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:49:58.500421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:49:58.722152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:49:59.381764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:49:58.580693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:49:58.801310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T08:50:03.135066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명어린이집유형구분정원수보육교직원수놀이터수CCTV설치수
시군구명1.0000.0000.0000.0980.0000.111
어린이집유형구분0.0001.0000.4610.5750.6340.575
정원수0.0000.4611.0000.8780.8900.819
보육교직원수0.0980.5750.8781.0000.8710.901
놀이터수0.0000.6340.8900.8711.0000.943
CCTV설치수0.1110.5750.8190.9010.9431.000
2024-03-14T08:50:03.231308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
놀이터수시군구명어린이집유형구분
놀이터수1.0000.0000.680
시군구명0.0001.0000.000
어린이집유형구분0.6800.0001.000
2024-03-14T08:50:03.304935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정원수보육교직원수CCTV설치수시군구명어린이집유형구분놀이터수
정원수1.0000.8010.8370.0000.2640.922
보육교직원수0.8011.0000.7390.0710.3360.700
CCTV설치수0.8370.7391.0000.0840.3360.793
시군구명0.0000.0710.0841.0000.0000.000
어린이집유형구분0.2640.3360.3360.0001.0000.680
놀이터수0.9220.7000.7930.0000.6801.000

Missing values

2024-03-14T08:49:59.482613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T08:49:59.626665image/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
0e편한세상어린이집전라북도전주시 완산구민간266전라북도 전주시 완산구 여울로 161 관리동(서신동, e편한세상)063-251-2131<NA><NA>04<NA><NA>2018-08-20
1NPS국민연금어린이집전라북도전주시 덕진구직장11018전라북도 전주시 덕진구 기지로 180063-713-6888<NA><NA>120<NA><NA>2018-08-20
2SK뷰 생글어린이집전라북도전주시 완산구민간458전라북도 전주시 완산구 태평2길 22 관리동(태평동, 태평SKVIEW)063-277-4879<NA><NA>08<NA><NA>2018-08-20
3가나어린이집전라북도전주시 덕진구민간308전라북도 전주시 덕진구 안덕원1길 41 (우아동3가)063-244-1355<NA><NA>07<NA><NA>2018-08-20
4가람어린이집전라북도전주시 완산구민간393전라북도 전주시 완산구 정동길 1-8 (삼천동2가)063-229-6775<NA><NA>00<NA><NA>2018-08-20
5가온길어린이집전라북도전주시 덕진구민간498전라북도 전주시 덕진구 견훤왕궁로 251 (인후동2가) 1524-29063-245-9482<NA><NA>08<NA><NA>2018-08-20
6가온어린이집전라북도전주시 덕진구가정205전라북도 전주시 덕진구 천마산로 100 109동 103호(송천동1가, 진흥더블파크)063-278-8152<NA><NA>04<NA><NA>2018-08-20
7가은어린이집전라북도전주시 완산구민간316전라북도 전주시 완산구 삼천천변1길 46 관리동(삼천동1가, 흥건삼천1차)063-226-7563<NA><NA>05<NA><NA>2018-08-20
8개구쟁이어린이집전라북도전주시 완산구가정203전라북도 전주시 완산구 하거마4길 16 (삼천동1가)063-226-4352<NA><NA>05<NA><NA>2018-08-20
9거북이어린이집전라북도전주시 덕진구가정206전라북도 전주시 덕진구 호성동1가 호성로 40 105동 105호(호성동1가,엘지동아)063-242-8211<NA><NA>04<NA><NA>2018-08-20
어린이집명시도명시군구명어린이집유형구분정원수보육교직원수소재지도로명주소어린이집전화번호어린이집팩스번호보육실수놀이터수CCTV설치수통학차량운영여부홈페이지주소데이터기준일자
601휴먼시아맑은샘어린이집전라북도전주시 완산구국공립3412전라북도 전주시 완산구 용호로 20 307동 1층(효자동2가, 휴먼시아3단지아파트)063-223-3883<NA><NA>04<NA><NA>2018-08-20
602휴먼시아밝은빛어린이집전라북도전주시 완산구국공립4711전라북도 전주시 완산구 호암로 88 관리동1층(효자동2가, 효자휴먼시아6단지)063-223-0103<NA><NA>04<NA><NA>2018-08-20
603휴먼시아숲속어린이집전라북도전주시 완산구국공립3712전라북도 전주시 완산구 호암로 2 1블럭관리동내(효자동2가, 휴먼시아)063-223-6543<NA><NA>06<NA><NA>2018-08-20
604휴먼시아어린이집전라북도전주시 완산구가정205전라북도 전주시 완산구 소태정로 1 402동 103호(효자동2가, 휴먼시아아이린)063-226-8384<NA><NA>04<NA><NA>2018-08-20
605휴먼시아해오름어린이집전라북도전주시 완산구국공립4714전라북도 전주시 완산구 호암로 87 관리동(효자동2가, 휴먼시아5단지)063-236-0131<NA><NA>05<NA><NA>2018-08-20
606휴플러스어린이집전라북도전주시 완산구가정194전라북도 전주시 완산구 따박골4길 10 104동 104호(효자동1가, 한신휴플러스)063-228-7075<NA><NA>04<NA><NA>2018-08-20
607흥건어린이집전라북도전주시 완산구가정201전라북도 전주시 완산구 삼천천변1길 46 105동 101호(삼천동1가, 흥건삼천1차)063-237-5510<NA><NA>02<NA><NA>2018-08-20
608희망어린이집전라북도전주시 덕진구가정194전라북도 전주시 덕진구 호성동1가 호성로 136 202동 103호(호성동1가, 진흥더블파크아파트)063-902-1228<NA><NA>04<NA><NA>2018-08-20
609희망찬어린이집전라북도전주시 덕진구가정193전라북도 전주시 덕진구 호성2길 16 101동 101호(호성동1가, 동아)063-246-5406<NA><NA>04<NA><NA>2018-08-20
610힐스테이트어린이집전라북도전주시 완산구민간290전라북도 전주시 완산구 효자동3가 세내로 291063-221-2550<NA><NA>04<NA><NA>2018-08-20