Overview

Dataset statistics

Number of variables13
Number of observations408
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory43.2 KiB
Average record size in memory108.3 B

Variable types

Numeric3
Categorical6
Text3
Boolean1

Dataset

Description야간보육어린이집현황170824
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=201463

Alerts

자료출처 has constant value ""Constant
공개여부 has constant value ""Constant
작성일 has constant value ""Constant
갱신주기 has constant value ""Constant
순번 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 순번High correlation
평가인증 is highly imbalanced (65.8%)Imbalance
순번 has unique valuesUnique
전화번호 has unique valuesUnique
도로명주소 has unique valuesUnique
현원수 has 6 (1.5%) zerosZeros

Reproduction

Analysis started2024-03-14 03:27:33.831404
Analysis finished2024-03-14 03:27:35.301065
Duration1.47 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct408
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean204.5
Minimum1
Maximum408
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-03-14T12:27:35.358756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile21.35
Q1102.75
median204.5
Q3306.25
95-th percentile387.65
Maximum408
Range407
Interquartile range (IQR)203.5

Descriptive statistics

Standard deviation117.9237
Coefficient of variation (CV)0.57664403
Kurtosis-1.2
Mean204.5
Median Absolute Deviation (MAD)102
Skewness0
Sum83436
Variance13906
MonotonicityStrictly increasing
2024-03-14T12:27:35.469802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
270 1
 
0.2%
280 1
 
0.2%
279 1
 
0.2%
278 1
 
0.2%
277 1
 
0.2%
276 1
 
0.2%
275 1
 
0.2%
274 1
 
0.2%
273 1
 
0.2%
Other values (398) 398
97.5%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
408 1
0.2%
407 1
0.2%
406 1
0.2%
405 1
0.2%
404 1
0.2%
403 1
0.2%
402 1
0.2%
401 1
0.2%
400 1
0.2%
399 1
0.2%

시군명
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
전주시 완산구
86 
익산시
82 
전주시 덕진구
48 
남원시
45 
군산시
40 
Other values (9)
107 

Length

Max length7
Median length3
Mean length4.3137255
Min length3

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
전주시 완산구 86
21.1%
익산시 82
20.1%
전주시 덕진구 48
11.8%
남원시 45
11.0%
군산시 40
9.8%
정읍시 31
 
7.6%
김제시 26
 
6.4%
완주군 22
 
5.4%
고창군 11
 
2.7%
부안군 8
 
2.0%
Other values (4) 9
 
2.2%

Length

2024-03-14T12:27:35.581414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전주시 134
24.7%
완산구 86
15.9%
익산시 82
15.1%
덕진구 48
 
8.9%
남원시 45
 
8.3%
군산시 40
 
7.4%
정읍시 31
 
5.7%
김제시 26
 
4.8%
완주군 22
 
4.1%
고창군 11
 
2.0%
Other values (5) 17
 
3.1%
Distinct371
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-03-14T12:27:35.754772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length7.4191176
Min length5

Characters and Unicode

Total characters3027
Distinct characters307
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique340 ?
Unique (%)83.3%

Sample

1st row고창보듬이나눔이어린이집
2nd row꿈나무어린이집
3rd row동화나라어린이집
4th row무장제일어린이집
5th row사임당 경안어린이집
ValueCountFrequency (%)
어린이집 19
 
4.4%
해바라기어린이집 3
 
0.7%
사과나무어린이집 3
 
0.7%
꿈나래어린이집 3
 
0.7%
솔로몬어린이집 3
 
0.7%
이화어린이집 3
 
0.7%
아이사랑어린이집 3
 
0.7%
꼬꼬마어린이집 2
 
0.5%
자람터어린이집 2
 
0.5%
아이숲어린이집 2
 
0.5%
Other values (366) 388
90.0%
2024-03-14T12:27:36.088112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
453
 
15.0%
411
 
13.6%
410
 
13.5%
408
 
13.5%
49
 
1.6%
38
 
1.3%
33
 
1.1%
32
 
1.1%
28
 
0.9%
26
 
0.9%
Other values (297) 1139
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2992
98.8%
Space Separator 23
 
0.8%
Uppercase Letter 7
 
0.2%
Decimal Number 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
453
15.1%
411
 
13.7%
410
 
13.7%
408
 
13.6%
49
 
1.6%
38
 
1.3%
33
 
1.1%
32
 
1.1%
28
 
0.9%
26
 
0.9%
Other values (287) 1104
36.9%
Uppercase Letter
ValueCountFrequency (%)
C 2
28.6%
E 1
14.3%
G 1
14.3%
B 1
14.3%
A 1
14.3%
Y 1
14.3%
Decimal Number
ValueCountFrequency (%)
4 2
40.0%
2 2
40.0%
3 1
20.0%
Space Separator
ValueCountFrequency (%)
23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2992
98.8%
Common 28
 
0.9%
Latin 7
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
453
15.1%
411
 
13.7%
410
 
13.7%
408
 
13.6%
49
 
1.6%
38
 
1.3%
33
 
1.1%
32
 
1.1%
28
 
0.9%
26
 
0.9%
Other values (287) 1104
36.9%
Latin
ValueCountFrequency (%)
C 2
28.6%
E 1
14.3%
G 1
14.3%
B 1
14.3%
A 1
14.3%
Y 1
14.3%
Common
ValueCountFrequency (%)
23
82.1%
4 2
 
7.1%
2 2
 
7.1%
3 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2992
98.8%
ASCII 35
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
453
15.1%
411
 
13.7%
410
 
13.7%
408
 
13.6%
49
 
1.6%
38
 
1.3%
33
 
1.1%
32
 
1.1%
28
 
0.9%
26
 
0.9%
Other values (287) 1104
36.9%
ASCII
ValueCountFrequency (%)
23
65.7%
4 2
 
5.7%
2 2
 
5.7%
C 2
 
5.7%
E 1
 
2.9%
G 1
 
2.9%
B 1
 
2.9%
A 1
 
2.9%
3 1
 
2.9%
Y 1
 
2.9%

유형
Categorical

Distinct6
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
가정
205 
민간
112 
국공립
36 
사회복지법인
28 
법인・단체등
26 

Length

Max length6
Median length2
Mean length2.6176471
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row국공립
2nd row민간
3rd row민간
4th row법인・단체등
5th row법인・단체등

Common Values

ValueCountFrequency (%)
가정 205
50.2%
민간 112
27.5%
국공립 36
 
8.8%
사회복지법인 28
 
6.9%
법인・단체등 26
 
6.4%
직장 1
 
0.2%

Length

2024-03-14T12:27:36.251636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:27:36.369454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정 205
50.2%
민간 112
27.5%
국공립 36
 
8.8%
사회복지법인 28
 
6.9%
법인・단체등 26
 
6.4%
직장 1
 
0.2%

평가인증
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size540.0 B
True
382 
False
 
26
ValueCountFrequency (%)
True 382
93.6%
False 26
 
6.4%
2024-03-14T12:27:36.457462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

정원수
Real number (ℝ)

Distinct94
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.732843
Minimum10
Maximum244
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-03-14T12:27:36.563435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile13
Q119
median20
Q370
95-th percentile99
Maximum244
Range234
Interquartile range (IQR)51

Descriptive statistics

Standard deviation36.048966
Coefficient of variation (CV)0.80587246
Kurtosis2.990258
Mean44.732843
Median Absolute Deviation (MAD)7.5
Skewness1.5007451
Sum18251
Variance1299.528
MonotonicityNot monotonic
2024-03-14T12:27:36.684294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 73
17.9%
19 58
 
14.2%
13 27
 
6.6%
99 18
 
4.4%
17 11
 
2.7%
16 11
 
2.7%
49 10
 
2.5%
45 8
 
2.0%
11 8
 
2.0%
14 7
 
1.7%
Other values (84) 177
43.4%
ValueCountFrequency (%)
10 1
 
0.2%
11 8
 
2.0%
13 27
 
6.6%
14 7
 
1.7%
15 5
 
1.2%
16 11
 
2.7%
17 11
 
2.7%
18 5
 
1.2%
19 58
14.2%
20 73
17.9%
ValueCountFrequency (%)
244 1
0.2%
199 1
0.2%
180 1
0.2%
164 1
0.2%
163 1
0.2%
161 1
0.2%
157 1
0.2%
139 1
0.2%
137 1
0.2%
124 1
0.2%

현원수
Real number (ℝ)

ZEROS 

Distinct103
Distinct (%)25.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.485294
Minimum0
Maximum171
Zeros6
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-03-14T12:27:36.821607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q116
median23
Q349
95-th percentile96.65
Maximum171
Range171
Interquartile range (IQR)33

Descriptive statistics

Standard deviation30.029384
Coefficient of variation (CV)0.82305446
Kurtosis3.0776952
Mean36.485294
Median Absolute Deviation (MAD)11
Skewness1.6495197
Sum14886
Variance901.76391
MonotonicityNot monotonic
2024-03-14T12:27:36.932040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 34
 
8.3%
19 20
 
4.9%
16 20
 
4.9%
18 17
 
4.2%
13 16
 
3.9%
17 12
 
2.9%
14 12
 
2.9%
36 10
 
2.5%
12 10
 
2.5%
11 9
 
2.2%
Other values (93) 248
60.8%
ValueCountFrequency (%)
0 6
1.5%
2 1
 
0.2%
3 3
 
0.7%
6 5
1.2%
7 4
 
1.0%
8 6
1.5%
9 5
1.2%
10 4
 
1.0%
11 9
2.2%
12 10
2.5%
ValueCountFrequency (%)
171 1
0.2%
161 1
0.2%
155 1
0.2%
154 1
0.2%
153 1
0.2%
145 1
0.2%
140 1
0.2%
126 1
0.2%
122 1
0.2%
117 1
0.2%

전화번호
Text

UNIQUE 

Distinct408
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-03-14T12:27:37.147518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.004902
Min length12

Characters and Unicode

Total characters4898
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

Unique408 ?
Unique (%)100.0%

Sample

1st row063-564-0506
2nd row063-563-4711
3rd row063-562-8509
4th row063-562-9078
5th row063-564-0431
ValueCountFrequency (%)
063-564-0506 1
 
0.2%
063-241-3832 1
 
0.2%
063-243-5114 1
 
0.2%
063-242-7539 1
 
0.2%
063-274-7732 1
 
0.2%
063-212-3927 1
 
0.2%
063-242-2050 1
 
0.2%
063-242-4722 1
 
0.2%
063-241-5540 1
 
0.2%
063-241-9206 1
 
0.2%
Other values (398) 398
97.5%
2024-03-14T12:27:37.459029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 816
16.7%
3 748
15.3%
6 684
14.0%
0 644
13.1%
2 459
9.4%
5 370
7.6%
4 282
 
5.8%
8 273
 
5.6%
1 239
 
4.9%
7 220
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4082
83.3%
Dash Punctuation 816
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 748
18.3%
6 684
16.8%
0 644
15.8%
2 459
11.2%
5 370
9.1%
4 282
 
6.9%
8 273
 
6.7%
1 239
 
5.9%
7 220
 
5.4%
9 163
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 816
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4898
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 816
16.7%
3 748
15.3%
6 684
14.0%
0 644
13.1%
2 459
9.4%
5 370
7.6%
4 282
 
5.8%
8 273
 
5.6%
1 239
 
4.9%
7 220
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4898
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 816
16.7%
3 748
15.3%
6 684
14.0%
0 644
13.1%
2 459
9.4%
5 370
7.6%
4 282
 
5.8%
8 273
 
5.6%
1 239
 
4.9%
7 220
 
4.5%

도로명주소
Text

UNIQUE 

Distinct408
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-03-14T12:27:37.726632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length46
Mean length32.605392
Min length15

Characters and Unicode

Total characters13303
Distinct characters306
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

Unique408 ?
Unique (%)100.0%

Sample

1st row전라북도 고창군 고창읍 월곡뉴타운2길 20 고창보듬이나눔이 어린이집
2nd row전라북도 고창군 흥덕면 문화1길 24-6
3rd row전라북도 고창군 대산면 사거1길 72
4th row전라북도 고창군 무장면 무장초등길 46
5th row전라북도 고창군 고창읍 남정7길 17-1
ValueCountFrequency (%)
전라북도 408
 
15.8%
전주시 134
 
5.2%
완산구 86
 
3.3%
익산시 82
 
3.2%
덕진구 48
 
1.9%
남원시 46
 
1.8%
군산시 40
 
1.6%
정읍시 32
 
1.2%
101동 28
 
1.1%
김제시 26
 
1.0%
Other values (978) 1647
63.9%
2024-03-14T12:27:38.103525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2172
 
16.3%
1 774
 
5.8%
575
 
4.3%
552
 
4.1%
0 448
 
3.4%
434
 
3.3%
422
 
3.2%
412
 
3.1%
385
 
2.9%
2 350
 
2.6%
Other values (296) 6779
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7664
57.6%
Decimal Number 2575
 
19.4%
Space Separator 2172
 
16.3%
Open Punctuation 295
 
2.2%
Close Punctuation 294
 
2.2%
Other Punctuation 188
 
1.4%
Dash Punctuation 109
 
0.8%
Uppercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
575
 
7.5%
552
 
7.2%
434
 
5.7%
422
 
5.5%
412
 
5.4%
385
 
5.0%
287
 
3.7%
257
 
3.4%
218
 
2.8%
201
 
2.6%
Other values (275) 3921
51.2%
Decimal Number
ValueCountFrequency (%)
1 774
30.1%
0 448
17.4%
2 350
13.6%
3 259
 
10.1%
4 184
 
7.1%
5 162
 
6.3%
6 120
 
4.7%
7 97
 
3.8%
9 97
 
3.8%
8 84
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
A 2
33.3%
L 1
16.7%
H 1
16.7%
C 1
16.7%
B 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 186
98.9%
/ 2
 
1.1%
Space Separator
ValueCountFrequency (%)
2172
100.0%
Open Punctuation
ValueCountFrequency (%)
( 295
100.0%
Close Punctuation
ValueCountFrequency (%)
) 294
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 109
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7664
57.6%
Common 5633
42.3%
Latin 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
575
 
7.5%
552
 
7.2%
434
 
5.7%
422
 
5.5%
412
 
5.4%
385
 
5.0%
287
 
3.7%
257
 
3.4%
218
 
2.8%
201
 
2.6%
Other values (275) 3921
51.2%
Common
ValueCountFrequency (%)
2172
38.6%
1 774
 
13.7%
0 448
 
8.0%
2 350
 
6.2%
( 295
 
5.2%
) 294
 
5.2%
3 259
 
4.6%
, 186
 
3.3%
4 184
 
3.3%
5 162
 
2.9%
Other values (6) 509
 
9.0%
Latin
ValueCountFrequency (%)
A 2
33.3%
L 1
16.7%
H 1
16.7%
C 1
16.7%
B 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7664
57.6%
ASCII 5639
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2172
38.5%
1 774
 
13.7%
0 448
 
7.9%
2 350
 
6.2%
( 295
 
5.2%
) 294
 
5.2%
3 259
 
4.6%
, 186
 
3.3%
4 184
 
3.3%
5 162
 
2.9%
Other values (11) 515
 
9.1%
Hangul
ValueCountFrequency (%)
575
 
7.5%
552
 
7.2%
434
 
5.7%
422
 
5.5%
412
 
5.4%
385
 
5.0%
287
 
3.7%
257
 
3.4%
218
 
2.8%
201
 
2.6%
Other values (275) 3921
51.2%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
사회복지과
408 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사회복지과 408
100.0%

Length

2024-03-14T12:27:38.214187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:27:38.321442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사회복지과 408
100.0%

공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
공개
408 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공개 408
100.0%

Length

2024-03-14T12:27:38.427145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:27:38.522922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 408
100.0%

작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2017.08
408 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017.08
2nd row2017.08
3rd row2017.08
4th row2017.08
5th row2017.08

Common Values

ValueCountFrequency (%)
2017.08 408
100.0%

Length

2024-03-14T12:27:38.605271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:27:38.697139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017.08 408
100.0%

갱신주기
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
1년
408 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1년
2nd row1년
3rd row1년
4th row1년
5th row1년

Common Values

ValueCountFrequency (%)
1년 408
100.0%

Length

2024-03-14T12:27:38.804487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:27:38.899095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1년 408
100.0%

Interactions

2024-03-14T12:27:34.834034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T12:27:34.369935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T12:27:34.612724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T12:27:34.920423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T12:27:34.454209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T12:27:34.688206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T12:27:34.996739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T12:27:34.532610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T12:27:34.755776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T12:27:38.953447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명유형평가인증정원수현원수
순번1.0000.9480.2830.0370.3170.135
시군명0.9481.0000.3350.2310.1770.000
유형0.2830.3351.0000.0000.6450.125
평가인증0.0370.2310.0001.0000.2180.092
정원수0.3170.1770.6450.2181.0000.000
현원수0.1350.0000.1250.0920.0001.000
2024-03-14T12:27:39.038683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명평가인증유형
시군명1.0000.1770.170
평가인증0.1771.0000.000
유형0.1700.0001.000
2024-03-14T12:27:39.113855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번정원수현원수시군명유형평가인증
순번1.000-0.138-0.1000.7850.1520.027
정원수-0.1381.0000.0680.0710.4070.165
현원수-0.1000.0681.0000.0000.0650.069
시군명0.7850.0710.0001.0000.1700.177
유형0.1520.4070.0650.1701.0000.000
평가인증0.0270.1650.0690.1770.0001.000

Missing values

2024-03-14T12:27:35.111441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T12:27:35.246209image/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

순번시군명어린이집명유형평가인증정원수현원수전화번호도로명주소자료출처공개여부작성일갱신주기
01고창군고창보듬이나눔이어린이집국공립Y9956063-564-0506전라북도 고창군 고창읍 월곡뉴타운2길 20 고창보듬이나눔이 어린이집사회복지과공개2017.081년
12고창군꿈나무어린이집민간Y9084063-563-4711전라북도 고창군 흥덕면 문화1길 24-6사회복지과공개2017.081년
23고창군동화나라어린이집민간Y7036063-562-8509전라북도 고창군 대산면 사거1길 72사회복지과공개2017.081년
34고창군무장제일어린이집법인・단체등Y5765063-562-9078전라북도 고창군 무장면 무장초등길 46사회복지과공개2017.081년
45고창군사임당 경안어린이집법인・단체등Y4532063-564-0431전라북도 고창군 고창읍 남정7길 17-1사회복지과공개2017.081년
56고창군아기사랑어린이집가정Y2057063-562-7301전라북도 고창군 고창읍 월곡공원1길 24사회복지과공개2017.081년
67고창군아이세상어린이집사회복지법인Y6633063-564-5240전라북도 고창군 고창읍 동리로 126-9사회복지과공개2017.081년
78고창군은혜어린이집사회복지법인Y12453063-561-3344전라북도 고창군 고창읍 농사동길 22-13사회복지과공개2017.081년
89고창군이화어린이집민간Y7747063-563-9777전라북도 고창군 고창읍 상월1길 20사회복지과공개2017.081년
910고창군푸른어린이집민간Y6936063-564-1866전라북도 고창군 고창읍 보릿골로 195-9 푸른어린이집사회복지과공개2017.081년
순번시군명어린이집명유형평가인증정원수현원수전화번호도로명주소자료출처공개여부작성일갱신주기
398399정읍시정읍원광 어린이집사회복지법인Y8317063-532-4556전라북도 정읍시 수성5로 71-12사회복지과공개2017.081년
399400정읍시정일어린이집국공립Y4510063-533-3323전라북도 정읍시 현암2길 65-28사회복지과공개2017.081년
400401정읍시쥬라기 어린이집민간Y3932063-531-6254전라북도 정읍시 수성1로 49-8 쥬라기 어린이집 (수성동)사회복지과공개2017.081년
401402정읍시참사랑어린이집가정Y1016063-571-8780전라북도 정읍시 신태인읍 감곡로 13 연가아파트 101동 103호사회복지과공개2017.081년
402403정읍시큰별어린이집직장Y3910063-539-5155전라북도 정읍시 충정로 234사회복지과공개2017.081년
403404정읍시하버드어린이집민간Y16123063-537-7179전라북도 정읍시 시기4길 28 (시기동)사회복지과공개2017.081년
404405정읍시호남어린이집민간Y3929063-537-2735전라북도 정읍시 월천길 59 (하모동)사회복지과공개2017.081년
405406정읍시힘찬어린이집가정Y1619063-538-2091전라북도 정읍시 말고개길 73-5 101동 103호(구룡동, 영창파크타운)사회복지과공개2017.081년
406407진안군마령어린이집국공립Y4018063-432-3322전라북도 진안군 마령면 솔안1길 8사회복지과공개2017.081년
407408진안군진안어린이집국공립Y9931063-432-7778전라북도 진안군 진안읍 중연길 20-12사회복지과공개2017.081년