Overview

Dataset statistics

Number of variables9
Number of observations481
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory35.8 KiB
Average record size in memory76.3 B

Variable types

Text3
Categorical1
Numeric4
DateTime1

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

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
놀이터수 is highly overall correlated with 정원수 and 2 other fieldsHigh correlation
CCTV설치 is highly overall correlated with 정원수 and 2 other fieldsHigh correlation
보육교직원수 has 6 (1.2%) zerosZeros
놀이터수 has 279 (58.0%) zerosZeros
CCTV설치 has 11 (2.3%) zerosZeros

Reproduction

Analysis started2024-03-13 23:49:51.631162
Analysis finished2024-03-13 23:49:53.503949
Duration1.87 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

어린이집명
Text

Distinct480
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2024-03-14T08:49:53.650180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length7.6632017
Min length6

Characters and Unicode

Total characters3686
Distinct characters346
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

Unique479 ?
Unique (%)99.6%

Sample

1st rowSK뷰 생글어린이집
2nd rowe편한세상어린이집
3rd row가은어린이집
4th row개구쟁이어린이집
5th row고감도어린이집
ValueCountFrequency (%)
어린이집 6
 
1.2%
아이들세상어린이집 2
 
0.4%
숲속어린이집 2
 
0.4%
쌍용기쁨어린이집 1
 
0.2%
솔로몬어린이집 1
 
0.2%
신일어린이집 1
 
0.2%
신세계어린이집 1
 
0.2%
신나는푸르지오어린이집 1
 
0.2%
스위첸어린이집 1
 
0.2%
쉐마어린이집 1
 
0.2%
Other values (477) 477
96.6%
2024-03-14T08:49:53.938570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 531
 
14.4%
린 492
 
13.3%
어 483
 
13.1%
집 481
 
13.0%
아 58
 
1.6%
나 36
 
1.0%
리 34
 
0.9%
랑 31
 
0.8%
예 30
 
0.8%
사 29
 
0.8%
Other values (336) 1481
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3650
99.0%
Space Separator 13
 
0.4%
Uppercase Letter 13
 
0.4%
Decimal Number 4
 
0.1%
Dash Punctuation 2
 
0.1%
Lowercase Letter 2
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 531
 
14.5%
린 492
 
13.5%
어 483
 
13.2%
집 481
 
13.2%
아 58
 
1.6%
나 36
 
1.0%
리 34
 
0.9%
랑 31
 
0.8%
예 30
 
0.8%
사 29
 
0.8%
Other values (320) 1445
39.6%
Uppercase Letter
ValueCountFrequency (%)
S 3
23.1%
C 3
23.1%
K 2
15.4%
A 1
 
7.7%
W 1
 
7.7%
Y 1
 
7.7%
P 1
 
7.7%
N 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
4 2
50.0%
2 2
50.0%
Lowercase Letter
ValueCountFrequency (%)
i 1
50.0%
e 1
50.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3650
99.0%
Common 21
 
0.6%
Latin 15
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 531
 
14.5%
린 492
 
13.5%
어 483
 
13.2%
집 481
 
13.2%
아 58
 
1.6%
나 36
 
1.0%
리 34
 
0.9%
랑 31
 
0.8%
예 30
 
0.8%
사 29
 
0.8%
Other values (320) 1445
39.6%
Latin
ValueCountFrequency (%)
S 3
20.0%
C 3
20.0%
K 2
13.3%
i 1
 
6.7%
A 1
 
6.7%
W 1
 
6.7%
Y 1
 
6.7%
e 1
 
6.7%
P 1
 
6.7%
N 1
 
6.7%
Common
ValueCountFrequency (%)
13
61.9%
4 2
 
9.5%
2 2
 
9.5%
- 2
 
9.5%
( 1
 
4.8%
) 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3650
99.0%
ASCII 36
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 531
 
14.5%
린 492
 
13.5%
어 483
 
13.2%
집 481
 
13.2%
아 58
 
1.6%
나 36
 
1.0%
리 34
 
0.9%
랑 31
 
0.8%
예 30
 
0.8%
사 29
 
0.8%
Other values (320) 1445
39.6%
ASCII
ValueCountFrequency (%)
13
36.1%
S 3
 
8.3%
C 3
 
8.3%
4 2
 
5.6%
K 2
 
5.6%
2 2
 
5.6%
- 2
 
5.6%
( 1
 
2.8%
i 1
 
2.8%
) 1
 
2.8%
Other values (6) 6
16.7%

어린이집유형구분
Categorical

Distinct7
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
가정
214 
민간
174 
사회복지법인
35 
국공립
30 
법인·단체등
 
15
Other values (2)
 
13

Length

Max length6
Median length2
Mean length2.4781705
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
가정 214
44.5%
민간 174
36.2%
사회복지법인 35
 
7.3%
국공립 30
 
6.2%
법인·단체등 15
 
3.1%
직장 12
 
2.5%
협동 1
 
0.2%

Length

2024-03-14T08:49:54.055388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T08:49:54.152548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정 214
44.5%
민간 174
36.2%
사회복지법인 35
 
7.3%
국공립 30
 
6.2%
법인·단체등 15
 
3.1%
직장 12
 
2.5%
협동 1
 
0.2%

정원수
Real number (ℝ)

HIGH CORRELATION 

Distinct106
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.054054
Minimum3
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-03-14T08:49:54.258734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile13
Q119
median30
Q368
95-th percentile114
Maximum300
Range297
Interquartile range (IQR)49

Descriptive statistics

Standard deviation43.777244
Coefficient of variation (CV)0.91100001
Kurtosis8.2037594
Mean48.054054
Median Absolute Deviation (MAD)13
Skewness2.4222452
Sum23114
Variance1916.4471
MonotonicityNot monotonic
2024-03-14T08:49:54.399451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19 85
17.7%
20 77
 
16.0%
99 32
 
6.7%
13 27
 
5.6%
49 17
 
3.5%
48 9
 
1.9%
39 9
 
1.9%
45 7
 
1.5%
25 7
 
1.5%
17 7
 
1.5%
Other values (96) 204
42.4%
ValueCountFrequency (%)
3 1
 
0.2%
10 1
 
0.2%
11 4
 
0.8%
12 1
 
0.2%
13 27
5.6%
14 1
 
0.2%
15 4
 
0.8%
16 3
 
0.6%
17 7
 
1.5%
18 6
 
1.2%
ValueCountFrequency (%)
300 1
0.2%
288 1
0.2%
272 1
0.2%
265 1
0.2%
250 1
0.2%
240 1
0.2%
214 1
0.2%
210 1
0.2%
200 2
0.4%
181 1
0.2%

보육교직원수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct32
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.9147609
Minimum0
Maximum47
Zeros6
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-03-14T08:49:54.581146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median7
Q312
95-th percentile19
Maximum47
Range47
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.8579549
Coefficient of variation (CV)0.65710735
Kurtosis6.1212205
Mean8.9147609
Median Absolute Deviation (MAD)2
Skewness1.8364531
Sum4288
Variance34.315636
MonotonicityNot monotonic
2024-03-14T08:49:54.733544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
6 79
16.4%
5 72
15.0%
7 34
 
7.1%
8 32
 
6.7%
4 31
 
6.4%
9 27
 
5.6%
11 26
 
5.4%
10 18
 
3.7%
13 17
 
3.5%
12 16
 
3.3%
Other values (22) 129
26.8%
ValueCountFrequency (%)
0 6
 
1.2%
1 12
 
2.5%
2 10
 
2.1%
3 13
 
2.7%
4 31
 
6.4%
5 72
15.0%
6 79
16.4%
7 34
7.1%
8 32
6.7%
9 27
 
5.6%
ValueCountFrequency (%)
47 1
 
0.2%
41 1
 
0.2%
35 1
 
0.2%
30 1
 
0.2%
29 1
 
0.2%
27 2
0.4%
25 1
 
0.2%
24 1
 
0.2%
23 3
0.6%
22 3
0.6%

소재지도로명주소
Text

Distinct480
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2024-03-14T08:49:54.971797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length47
Mean length37.525988
Min length19

Characters and Unicode

Total characters18050
Distinct characters307
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

Unique479 ?
Unique (%)99.6%

Sample

1st row전라북도 전주시 완산구 태평2길 22 관리동(태평동, 태평SKVIEW)
2nd row전라북도 전주시 완산구 여울로 161 관리동(서신동, e편한세상)
3rd row전라북도 전주시 완산구 삼천천변1길 46 관리동(삼천동1가, 흥건삼천1차)
4th row전라북도 전주시 완산구 하거마4길 16 (삼천동1가)
5th row전라북도 전주시 완산구 양지2길 5 (평화동2가)
ValueCountFrequency (%)
전주시 482
 
13.9%
전라북도 481
 
13.9%
덕진구 254
 
7.3%
완산구 228
 
6.6%
관리동 50
 
1.4%
101동 33
 
1.0%
평화동2가 24
 
0.7%
송천동2가 23
 
0.7%
102동 23
 
0.7%
103동 22
 
0.6%
Other values (927) 1842
53.2%
2024-03-14T08:49:55.369558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2985
 
16.5%
1 1012
 
5.6%
전 985
 
5.5%
동 787
 
4.4%
시 529
 
2.9%
주 519
 
2.9%
2 504
 
2.8%
구 496
 
2.7%
0 495
 
2.7%
북 492
 
2.7%
Other values (297) 9246
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10949
60.7%
Decimal Number 3058
 
16.9%
Space Separator 2985
 
16.5%
Close Punctuation 349
 
1.9%
Open Punctuation 349
 
1.9%
Other Punctuation 223
 
1.2%
Dash Punctuation 108
 
0.6%
Uppercase Letter 21
 
0.1%
Lowercase Letter 7
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 985
 
9.0%
동 787
 
7.2%
시 529
 
4.8%
주 519
 
4.7%
구 496
 
4.5%
북 492
 
4.5%
라 487
 
4.4%
도 484
 
4.4%
가 395
 
3.6%
산 320
 
2.9%
Other values (263) 5455
49.8%
Uppercase Letter
ValueCountFrequency (%)
S 3
14.3%
K 3
14.3%
L 3
14.3%
H 3
14.3%
C 3
14.3%
B 1
 
4.8%
A 1
 
4.8%
W 1
 
4.8%
E 1
 
4.8%
I 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
1 1012
33.1%
2 504
16.5%
0 495
16.2%
3 302
 
9.9%
5 185
 
6.0%
4 175
 
5.7%
6 118
 
3.9%
7 110
 
3.6%
9 80
 
2.6%
8 77
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
e 2
28.6%
c 2
28.6%
l 1
14.3%
h 1
14.3%
k 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 220
98.7%
/ 2
 
0.9%
@ 1
 
0.4%
Space Separator
ValueCountFrequency (%)
2985
100.0%
Close Punctuation
ValueCountFrequency (%)
) 349
100.0%
Open Punctuation
ValueCountFrequency (%)
( 349
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 108
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10949
60.7%
Common 7072
39.2%
Latin 29
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 985
 
9.0%
동 787
 
7.2%
시 529
 
4.8%
주 519
 
4.7%
구 496
 
4.5%
북 492
 
4.5%
라 487
 
4.4%
도 484
 
4.4%
가 395
 
3.6%
산 320
 
2.9%
Other values (263) 5455
49.8%
Common
ValueCountFrequency (%)
2985
42.2%
1 1012
 
14.3%
2 504
 
7.1%
0 495
 
7.0%
) 349
 
4.9%
( 349
 
4.9%
3 302
 
4.3%
, 220
 
3.1%
5 185
 
2.6%
4 175
 
2.5%
Other values (7) 496
 
7.0%
Latin
ValueCountFrequency (%)
S 3
10.3%
K 3
10.3%
L 3
10.3%
H 3
10.3%
C 3
10.3%
e 2
 
6.9%
c 2
 
6.9%
Ⅱ 1
 
3.4%
B 1
 
3.4%
A 1
 
3.4%
Other values (7) 7
24.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10949
60.7%
ASCII 7100
39.3%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2985
42.0%
1 1012
 
14.3%
2 504
 
7.1%
0 495
 
7.0%
) 349
 
4.9%
( 349
 
4.9%
3 302
 
4.3%
, 220
 
3.1%
5 185
 
2.6%
4 175
 
2.5%
Other values (23) 524
 
7.4%
Hangul
ValueCountFrequency (%)
전 985
 
9.0%
동 787
 
7.2%
시 529
 
4.8%
주 519
 
4.7%
구 496
 
4.5%
북 492
 
4.5%
라 487
 
4.4%
도 484
 
4.4%
가 395
 
3.6%
산 320
 
2.9%
Other values (263) 5455
49.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

어린이집전화번호
Text

Distinct480
Distinct (%)100.0%
Missing1
Missing (%)0.2%
Memory size3.9 KiB
2024-03-14T08:49:55.597097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.010417
Min length12

Characters and Unicode

Total characters5765
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

Unique480 ?
Unique (%)100.0%

Sample

1st row063-277-4879
2nd row063-251-2131
3rd row063-226-7563
4th row063-226-4352
5th row063-222-1837
ValueCountFrequency (%)
063-277-4879 1
 
0.2%
063-251-2131 1
 
0.2%
063-278-2113 1
 
0.2%
063-277-5805 1
 
0.2%
063-242-6626 1
 
0.2%
063-241-8006 1
 
0.2%
063-273-5576 1
 
0.2%
063-241-5979 1
 
0.2%
063-255-1905 1
 
0.2%
063-212-6377 1
 
0.2%
Other values (470) 470
97.9%
2024-03-14T08:49:55.908517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 960
16.7%
2 819
14.2%
0 773
13.4%
3 772
13.4%
6 725
12.6%
7 342
 
5.9%
5 328
 
5.7%
1 312
 
5.4%
4 291
 
5.0%
8 236
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4805
83.3%
Dash Punctuation 960
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 819
17.0%
0 773
16.1%
3 772
16.1%
6 725
15.1%
7 342
7.1%
5 328
6.8%
1 312
 
6.5%
4 291
 
6.1%
8 236
 
4.9%
9 207
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 960
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5765
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 960
16.7%
2 819
14.2%
0 773
13.4%
3 772
13.4%
6 725
12.6%
7 342
 
5.9%
5 328
 
5.7%
1 312
 
5.4%
4 291
 
5.0%
8 236
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5765
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 960
16.7%
2 819
14.2%
0 773
13.4%
3 772
13.4%
6 725
12.6%
7 342
 
5.9%
5 328
 
5.7%
1 312
 
5.4%
4 291
 
5.0%
8 236
 
4.1%

놀이터수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct7
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.65904366
Minimum0
Maximum7
Zeros279
Zeros (%)58.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-03-14T08:49:56.001402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9683353
Coefficient of variation (CV)1.4693037
Kurtosis6.03232
Mean0.65904366
Median Absolute Deviation (MAD)0
Skewness1.9847999
Sum317
Variance0.93767325
MonotonicityNot monotonic
2024-03-14T08:49:56.078910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 279
58.0%
1 122
25.4%
2 57
 
11.9%
3 16
 
3.3%
4 5
 
1.0%
6 1
 
0.2%
7 1
 
0.2%
ValueCountFrequency (%)
0 279
58.0%
1 122
25.4%
2 57
 
11.9%
3 16
 
3.3%
4 5
 
1.0%
6 1
 
0.2%
7 1
 
0.2%
ValueCountFrequency (%)
7 1
 
0.2%
6 1
 
0.2%
4 5
 
1.0%
3 16
 
3.3%
2 57
 
11.9%
1 122
25.4%
0 279
58.0%

CCTV설치
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct27
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1476091
Minimum0
Maximum44
Zeros11
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-03-14T08:49:56.179022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q14
median5
Q39
95-th percentile16
Maximum44
Range44
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.0675684
Coefficient of variation (CV)0.7089879
Kurtosis9.5138084
Mean7.1476091
Median Absolute Deviation (MAD)1
Skewness2.4199199
Sum3438
Variance25.680249
MonotonicityNot monotonic
2024-03-14T08:49:56.290704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
4 193
40.1%
5 42
 
8.7%
8 37
 
7.7%
6 35
 
7.3%
10 20
 
4.2%
11 19
 
4.0%
12 17
 
3.5%
7 16
 
3.3%
9 16
 
3.3%
3 16
 
3.3%
Other values (17) 70
 
14.6%
ValueCountFrequency (%)
0 11
 
2.3%
3 16
 
3.3%
4 193
40.1%
5 42
 
8.7%
6 35
 
7.3%
7 16
 
3.3%
8 37
 
7.7%
9 16
 
3.3%
10 20
 
4.2%
11 19
 
4.0%
ValueCountFrequency (%)
44 1
 
0.2%
33 1
 
0.2%
32 2
0.4%
25 2
0.4%
24 1
 
0.2%
23 1
 
0.2%
22 3
0.6%
21 1
 
0.2%
20 3
0.6%
19 1
 
0.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
Minimum2021-07-22 00:00:00
Maximum2021-07-22 00:00:00
2024-03-14T08:49:56.372060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:49:56.462910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-14T08:49:53.001673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:49:52.022142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:49:52.406430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:49:52.720221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:49:53.084911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:49:52.094068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:49:52.500367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:49:52.791497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:49:53.157058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:49:52.163953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:49:52.582923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:49:52.862827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:49:53.245038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:49:52.299222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:49:52.657704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:49:52.935565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T08:49:56.534785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
어린이집유형구분정원수보육교직원수놀이터수CCTV설치
어린이집유형구분1.0000.6290.5370.6050.610
정원수0.6291.0000.9140.5710.761
보육교직원수0.5370.9141.0000.5320.722
놀이터수0.6050.5710.5321.0000.504
CCTV설치0.6100.7610.7220.5041.000
2024-03-14T08:49:56.618833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정원수보육교직원수놀이터수CCTV설치어린이집유형구분
정원수1.0000.7840.6860.8290.382
보육교직원수0.7841.0000.5890.7620.307
놀이터수0.6860.5891.0000.6780.248
CCTV설치0.8290.7620.6781.0000.386
어린이집유형구분0.3820.3070.2480.3861.000

Missing values

2024-03-14T08:49:53.345805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T08:49:53.453419image/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

어린이집명어린이집유형구분정원수보육교직원수소재지도로명주소어린이집전화번호놀이터수CCTV설치데이터기준일자
0SK뷰 생글어린이집민간4510전라북도 전주시 완산구 태평2길 22 관리동(태평동, 태평SKVIEW)063-277-4879042021-07-22
1e편한세상어린이집민간267전라북도 전주시 완산구 여울로 161 관리동(서신동, e편한세상)063-251-2131282021-07-22
2가은어린이집가정201전라북도 전주시 완산구 삼천천변1길 46 관리동(삼천동1가, 흥건삼천1차)063-226-7563052021-07-22
3개구쟁이어린이집가정205전라북도 전주시 완산구 하거마4길 16 (삼천동1가)063-226-4352052021-07-22
4고감도어린이집민간10519전라북도 전주시 완산구 양지2길 5 (평화동2가)063-222-18372152021-07-22
5고운엄마품어린이집가정135전라북도 전주시 완산구 거마평로 109 102동 101호(효자동1가, 제일효자)063-227-4888042021-07-22
6곤지곤지어린이집가정131전라북도 전주시 완산구 평화로 100 213동 104호(평화동2가, 주공그린2단지)063-237-5757042021-07-22
7골드클래스 해든어린이집민간495전라북도 전주시 완산구 맏내로 37 관리동063-228-0970082021-07-22
8골드클래스아이다솜어린이집민간3910전라북도 전주시 완산구 평화동2가 구이로 2077 관리동(평화동2가,골드클래스)063-226-6697062021-07-22
9교동원광어린이집법인·단체등7814전라북도 전주시 완산구 오목대길 76 (교동)063-285-31581132021-07-22
어린이집명어린이집유형구분정원수보육교직원수소재지도로명주소어린이집전화번호놀이터수CCTV설치데이터기준일자
471혁신대방어린이집국공립450전라북도 전주시 덕진구 기지로 77 관리동어린이집(혁신대방디엠시티)063-111-1111002021-07-22
472현대코끼리어린이집가정195전라북도 전주시 덕진구 솔내로 124 203동 101호(송천동1가, 송천현대2차아파트)063-903-2800042021-07-22
473호두나무어린이집민간246전라북도 전주시 덕진구 가리내로 216 휴먼빌아파트 관리동 1층 (덕진동2가)063-255-2279042021-07-22
474호반아이잼어린이집민간488전라북도 전주시 덕진구 오공로 71 혁신호반베르디움1차아파트 관리동063-236-1355082021-07-22
475호반예꼬별어린이집민간5711전라북도 전주시 덕진구 출판로 87 209동101호(호반베르디움 더클래스) 관리동063-214-52520122021-07-22
476훈민정음어린이집민간923전라북도 전주시 덕진구 모래내5길 52 (금암동)063-274-05431102021-07-22
477휴먼빌사랑어린이집민간4613전라북도 전주시 덕진구 세병로 74 에코휴먼빌아파트 관리동063-252-5306182021-07-22
478휴먼빌어린이집가정195전라북도 전주시 덕진구 가리내로 216 501동 103호(덕진동2가, 휴먼빌아파트)063-908-8876042021-07-22
479희망어린이집가정196전라북도 전주시 덕진구 호성동1가 호성로 136 202동 103호(호성동1가, 진흥더블파크아파트)063-902-1228042021-07-22
480희망찬어린이집가정195전라북도 전주시 덕진구 호성2길 16 101동 101호(호성동1가, 동아)063-246-5406042021-07-22