Overview

Dataset statistics

Number of variables21
Number of observations1514
Missing cells3082
Missing cells (%)9.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory258.9 KiB
Average record size in memory175.1 B

Variable types

Numeric5
Categorical9
Text5
Boolean1
Unsupported1

Alerts

자료출처 has constant value ""Constant
공개여부 has constant value ""Constant
작성일 has constant value ""Constant
갱신주기 has constant value ""Constant
팩스번호 has 256 (16.9%) missing valuesMissing
홈페이지 has 1312 (86.7%) missing valuesMissing
데이터기준 has 1514 (100.0%) missing valuesMissing
순번 has unique valuesUnique
데이터기준 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이터수 has 804 (53.1%) zerosZeros
CCTV수 has 840 (55.5%) zerosZeros

Reproduction

Analysis started2024-03-14 00:50:55.928906
Analysis finished2024-03-14 00:50:56.713277
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct1514
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean757.5
Minimum1
Maximum1514
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.4 KiB
2024-03-14T09:50:56.772777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile76.65
Q1379.25
median757.5
Q31135.75
95-th percentile1438.35
Maximum1514
Range1513
Interquartile range (IQR)756.5

Descriptive statistics

Standard deviation437.19847
Coefficient of variation (CV)0.57715969
Kurtosis-1.2
Mean757.5
Median Absolute Deviation (MAD)378.5
Skewness0
Sum1146855
Variance191142.5
MonotonicityStrictly increasing
2024-03-14T09:50:56.911104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1007 1
 
0.1%
1016 1
 
0.1%
1015 1
 
0.1%
1014 1
 
0.1%
1013 1
 
0.1%
1012 1
 
0.1%
1011 1
 
0.1%
1010 1
 
0.1%
1009 1
 
0.1%
Other values (1504) 1504
99.3%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1514 1
0.1%
1513 1
0.1%
1512 1
0.1%
1511 1
0.1%
1510 1
0.1%
1509 1
0.1%
1508 1
0.1%
1507 1
0.1%
1506 1
0.1%
1505 1
0.1%

시군명
Categorical

Distinct15
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
전주시 완산구
358 
전주시 덕진구
298 
군산시
240 
익산시
238 
완주군
78 
Other values (10)
302 

Length

Max length7
Median length3
Mean length4.7331572
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전주시 완산구 358
23.6%
전주시 덕진구 298
19.7%
군산시 240
15.9%
익산시 238
15.7%
완주군 78
 
5.2%
정읍시 78
 
5.2%
남원시 67
 
4.4%
김제시 54
 
3.6%
부안군 28
 
1.8%
고창군 25
 
1.7%
Other values (5) 50
 
3.3%

Length

2024-03-14T09:50:57.039499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전주시 656
30.2%
완산구 358
16.5%
덕진구 298
13.7%
군산시 240
 
11.1%
익산시 238
 
11.0%
완주군 78
 
3.6%
정읍시 78
 
3.6%
남원시 67
 
3.1%
김제시 54
 
2.5%
부안군 28
 
1.3%
Other values (6) 75
 
3.5%

어린이집명
Text

Distinct1243
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
2024-03-14T09:50:57.210347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length7.4557464
Min length5

Characters and Unicode

Total characters11288
Distinct characters476
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

Unique1067 ?
Unique (%)70.5%

Sample

1st row고수원광어린이집
2nd row고창보듬이나눔이어린이집
3rd row고창어린이집
4th row고창원광어린이집
5th row공음어린이집
ValueCountFrequency (%)
어린이집 56
 
3.5%
해바라기어린이집 7
 
0.4%
아이사랑어린이집 7
 
0.4%
아기별어린이집 6
 
0.4%
해맑은어린이집 5
 
0.3%
엄마사랑어린이집 5
 
0.3%
새싹어린이집 5
 
0.3%
행복한어린이집 5
 
0.3%
솔로몬어린이집 5
 
0.3%
사과나무어린이집 5
 
0.3%
Other values (1247) 1480
93.3%
2024-03-14T09:50:57.505339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 1669
 
14.8%
린 1536
 
13.6%
어 1522
 
13.5%
집 1515
 
13.4%
아 191
 
1.7%
사 119
 
1.1%
나 114
 
1.0%
랑 111
 
1.0%
리 105
 
0.9%
마 93
 
0.8%
Other values (466) 4313
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11165
98.9%
Space Separator 72
 
0.6%
Uppercase Letter 33
 
0.3%
Decimal Number 7
 
0.1%
Lowercase Letter 5
 
< 0.1%
Dash Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1669
 
14.9%
린 1536
 
13.8%
어 1522
 
13.6%
집 1515
 
13.6%
아 191
 
1.7%
사 119
 
1.1%
나 114
 
1.0%
랑 111
 
1.0%
리 105
 
0.9%
마 93
 
0.8%
Other values (441) 4190
37.5%
Uppercase Letter
ValueCountFrequency (%)
C 6
18.2%
A 4
12.1%
E 3
9.1%
Y 3
9.1%
O 2
 
6.1%
W 2
 
6.1%
S 2
 
6.1%
Q 2
 
6.1%
B 2
 
6.1%
N 2
 
6.1%
Other values (5) 5
15.2%
Decimal Number
ValueCountFrequency (%)
2 3
42.9%
4 2
28.6%
1 1
 
14.3%
3 1
 
14.3%
Lowercase Letter
ValueCountFrequency (%)
e 3
60.0%
i 2
40.0%
Space Separator
ValueCountFrequency (%)
72
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11165
98.9%
Common 85
 
0.8%
Latin 38
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1669
 
14.9%
린 1536
 
13.8%
어 1522
 
13.6%
집 1515
 
13.6%
아 191
 
1.7%
사 119
 
1.1%
나 114
 
1.0%
랑 111
 
1.0%
리 105
 
0.9%
마 93
 
0.8%
Other values (441) 4190
37.5%
Latin
ValueCountFrequency (%)
C 6
15.8%
A 4
10.5%
E 3
 
7.9%
Y 3
 
7.9%
e 3
 
7.9%
i 2
 
5.3%
O 2
 
5.3%
W 2
 
5.3%
S 2
 
5.3%
Q 2
 
5.3%
Other values (7) 9
23.7%
Common
ValueCountFrequency (%)
72
84.7%
2 3
 
3.5%
- 2
 
2.4%
( 2
 
2.4%
) 2
 
2.4%
4 2
 
2.4%
1 1
 
1.2%
3 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11165
98.9%
ASCII 123
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 1669
 
14.9%
린 1536
 
13.8%
어 1522
 
13.6%
집 1515
 
13.6%
아 191
 
1.7%
사 119
 
1.1%
나 114
 
1.0%
랑 111
 
1.0%
리 105
 
0.9%
마 93
 
0.8%
Other values (441) 4190
37.5%
ASCII
ValueCountFrequency (%)
72
58.5%
C 6
 
4.9%
A 4
 
3.3%
E 3
 
2.4%
2 3
 
2.4%
Y 3
 
2.4%
e 3
 
2.4%
i 2
 
1.6%
O 2
 
1.6%
W 2
 
1.6%
Other values (15) 23
 
18.7%

유형
Categorical

Distinct7
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
가정
700 
민간
492 
사회복지법인
144 
법인?단체등
94 
국공립
 
58
Other values (2)
 
26

Length

Max length6
Median length2
Mean length2.667107
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row사회복지법인
2nd row국공립
3rd row국공립
4th row법인?단체등
5th row법인?단체등

Common Values

ValueCountFrequency (%)
가정 700
46.2%
민간 492
32.5%
사회복지법인 144
 
9.5%
법인?단체등 94
 
6.2%
국공립 58
 
3.8%
직장 25
 
1.7%
협동 1
 
0.1%

Length

2024-03-14T09:50:57.622035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:50:57.725545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정 700
46.2%
민간 492
32.5%
사회복지법인 144
 
9.5%
법인?단체등 94
 
6.2%
국공립 58
 
3.8%
직장 25
 
1.7%
협동 1
 
0.1%

정원수
Real number (ℝ)

Distinct153
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.287979
Minimum9
Maximum422
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.4 KiB
2024-03-14T09:50:57.844003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile13
Q119
median28
Q367
95-th percentile121
Maximum422
Range413
Interquartile range (IQR)48

Descriptive statistics

Standard deviation40.576468
Coefficient of variation (CV)0.87660919
Kurtosis9.4663732
Mean46.287979
Median Absolute Deviation (MAD)13
Skewness2.3119621
Sum70080
Variance1646.4497
MonotonicityNot monotonic
2024-03-14T09:50:57.979869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 250
 
16.5%
19 206
 
13.6%
13 100
 
6.6%
99 60
 
4.0%
49 41
 
2.7%
39 39
 
2.6%
16 31
 
2.0%
18 30
 
2.0%
17 23
 
1.5%
11 21
 
1.4%
Other values (143) 713
47.1%
ValueCountFrequency (%)
9 1
 
0.1%
10 4
 
0.3%
11 21
 
1.4%
12 10
 
0.7%
13 100
6.6%
14 19
 
1.3%
15 10
 
0.7%
16 31
 
2.0%
17 23
 
1.5%
18 30
 
2.0%
ValueCountFrequency (%)
422 1
0.1%
300 1
0.1%
288 1
0.1%
265 1
0.1%
250 2
0.1%
245 1
0.1%
244 1
0.1%
240 1
0.1%
226 1
0.1%
214 1
0.1%

교직원수
Real number (ℝ)

Distinct33
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5911493
Minimum0
Maximum41
Zeros6
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size13.4 KiB
2024-03-14T09:50:58.077075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median6
Q310
95-th percentile16
Maximum41
Range41
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.6239928
Coefficient of variation (CV)0.60912948
Kurtosis5.0001452
Mean7.5911493
Median Absolute Deviation (MAD)2
Skewness1.6927129
Sum11493
Variance21.38131
MonotonicityNot monotonic
2024-03-14T09:50:58.168048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
5 241
15.9%
6 188
12.4%
4 171
11.3%
7 130
8.6%
3 122
8.1%
8 92
 
6.1%
9 87
 
5.7%
10 73
 
4.8%
11 72
 
4.8%
12 58
 
3.8%
Other values (23) 280
18.5%
ValueCountFrequency (%)
0 6
 
0.4%
1 18
 
1.2%
2 55
 
3.6%
3 122
8.1%
4 171
11.3%
5 241
15.9%
6 188
12.4%
7 130
8.6%
8 92
 
6.1%
9 87
 
5.7%
ValueCountFrequency (%)
41 1
 
0.1%
37 1
 
0.1%
34 1
 
0.1%
30 1
 
0.1%
29 1
 
0.1%
28 1
 
0.1%
26 3
0.2%
25 1
 
0.1%
24 4
0.3%
23 4
0.3%

도로명주소
Text

Distinct1510
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
2024-03-14T09:50:58.397066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length48
Mean length32.840819
Min length15

Characters and Unicode

Total characters49721
Distinct characters416
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1506 ?
Unique (%)99.5%

Sample

1st row전라북도 고창군 고수면 고수농공단지길 61-2
2nd row전라북도 고창군 고창읍 월곡뉴타운2길 20 고창보듬이나눔이 어린이집
3rd row전라북도 고창군 고창읍 교촌1길 22
4th row전라북도 고창군 고창읍 모양성로 104
5th row전라북도 고창군 공음면 참나무정1길 26
ValueCountFrequency (%)
전라북도 1517
 
15.6%
전주시 658
 
6.8%
완산구 358
 
3.7%
덕진구 300
 
3.1%
군산시 242
 
2.5%
익산시 239
 
2.5%
101동 89
 
0.9%
102동 84
 
0.9%
정읍시 79
 
0.8%
완주군 78
 
0.8%
Other values (2479) 6074
62.5%
2024-03-14T09:50:58.821265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8227
 
16.5%
1 2859
 
5.8%
전 2226
 
4.5%
동 2085
 
4.2%
도 1565
 
3.1%
북 1563
 
3.1%
라 1540
 
3.1%
0 1538
 
3.1%
시 1404
 
2.8%
2 1291
 
2.6%
Other values (406) 25423
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29239
58.8%
Decimal Number 9200
 
18.5%
Space Separator 8227
 
16.5%
Open Punctuation 996
 
2.0%
Close Punctuation 994
 
2.0%
Other Punctuation 640
 
1.3%
Dash Punctuation 392
 
0.8%
Uppercase Letter 23
 
< 0.1%
Lowercase Letter 8
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 2226
 
7.6%
동 2085
 
7.1%
도 1565
 
5.4%
북 1563
 
5.3%
라 1540
 
5.3%
시 1404
 
4.8%
산 1147
 
3.9%
로 905
 
3.1%
주 859
 
2.9%
길 733
 
2.5%
Other values (373) 15212
52.0%
Uppercase Letter
ValueCountFrequency (%)
A 6
26.1%
C 3
13.0%
I 2
 
8.7%
B 2
 
8.7%
H 2
 
8.7%
L 2
 
8.7%
W 1
 
4.3%
E 1
 
4.3%
V 1
 
4.3%
K 1
 
4.3%
Other values (2) 2
 
8.7%
Decimal Number
ValueCountFrequency (%)
1 2859
31.1%
0 1538
16.7%
2 1291
14.0%
3 911
 
9.9%
4 601
 
6.5%
5 535
 
5.8%
6 434
 
4.7%
7 392
 
4.3%
8 320
 
3.5%
9 319
 
3.5%
Other Punctuation
ValueCountFrequency (%)
, 631
98.6%
/ 6
 
0.9%
@ 2
 
0.3%
. 1
 
0.2%
Space Separator
ValueCountFrequency (%)
8227
100.0%
Open Punctuation
ValueCountFrequency (%)
( 996
100.0%
Close Punctuation
ValueCountFrequency (%)
) 994
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 392
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 8
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29239
58.8%
Common 20450
41.1%
Latin 32
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 2226
 
7.6%
동 2085
 
7.1%
도 1565
 
5.4%
북 1563
 
5.3%
라 1540
 
5.3%
시 1404
 
4.8%
산 1147
 
3.9%
로 905
 
3.1%
주 859
 
2.9%
길 733
 
2.5%
Other values (373) 15212
52.0%
Common
ValueCountFrequency (%)
8227
40.2%
1 2859
 
14.0%
0 1538
 
7.5%
2 1291
 
6.3%
( 996
 
4.9%
) 994
 
4.9%
3 911
 
4.5%
, 631
 
3.1%
4 601
 
2.9%
5 535
 
2.6%
Other values (9) 1867
 
9.1%
Latin
ValueCountFrequency (%)
e 8
25.0%
A 6
18.8%
C 3
 
9.4%
I 2
 
6.2%
B 2
 
6.2%
H 2
 
6.2%
L 2
 
6.2%
W 1
 
3.1%
E 1
 
3.1%
V 1
 
3.1%
Other values (4) 4
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29239
58.8%
ASCII 20481
41.2%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8227
40.2%
1 2859
 
14.0%
0 1538
 
7.5%
2 1291
 
6.3%
( 996
 
4.9%
) 994
 
4.9%
3 911
 
4.4%
, 631
 
3.1%
4 601
 
2.9%
5 535
 
2.6%
Other values (22) 1898
 
9.3%
Hangul
ValueCountFrequency (%)
전 2226
 
7.6%
동 2085
 
7.1%
도 1565
 
5.4%
북 1563
 
5.3%
라 1540
 
5.3%
시 1404
 
4.8%
산 1147
 
3.9%
로 905
 
3.1%
주 859
 
2.9%
길 733
 
2.5%
Other values (373) 15212
52.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

전화번호
Text

Distinct1513
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
2024-03-14T09:50:59.040649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.01255
Min length12

Characters and Unicode

Total characters18187
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

Unique1512 ?
Unique (%)99.9%

Sample

1st row063-563-4768
2nd row063-564-0506
3rd row063-564-2012
4th row063-564-2501
5th row063-562-9125
ValueCountFrequency (%)
063-625-0151 2
 
0.1%
063-212-1618 1
 
0.1%
063-272-1559 1
 
0.1%
063-275-6815 1
 
0.1%
063-241-5560 1
 
0.1%
070-7551-1503 1
 
0.1%
063-245-2855 1
 
0.1%
063-255-6788 1
 
0.1%
063-245-0279 1
 
0.1%
063-254-9981 1
 
0.1%
Other values (1503) 1503
99.3%
2024-03-14T09:50:59.385376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 3028
16.6%
3 2635
14.5%
6 2527
13.9%
0 2395
13.2%
2 1729
9.5%
5 1248
6.9%
4 1139
 
6.3%
8 954
 
5.2%
7 938
 
5.2%
1 934
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15159
83.4%
Dash Punctuation 3028
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 2635
17.4%
6 2527
16.7%
0 2395
15.8%
2 1729
11.4%
5 1248
8.2%
4 1139
7.5%
8 954
 
6.3%
7 938
 
6.2%
1 934
 
6.2%
9 660
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 3028
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18187
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 3028
16.6%
3 2635
14.5%
6 2527
13.9%
0 2395
13.2%
2 1729
9.5%
5 1248
6.9%
4 1139
 
6.3%
8 954
 
5.2%
7 938
 
5.2%
1 934
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18187
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 3028
16.6%
3 2635
14.5%
6 2527
13.9%
0 2395
13.2%
2 1729
9.5%
5 1248
6.9%
4 1139
 
6.3%
8 954
 
5.2%
7 938
 
5.2%
1 934
 
5.1%

팩스번호
Text

MISSING 

Distinct1243
Distinct (%)98.8%
Missing256
Missing (%)16.9%
Memory size12.0 KiB
2024-03-14T09:50:59.636467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.997615
Min length5

Characters and Unicode

Total characters15093
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

Unique1230 ?
Unique (%)97.8%

Sample

1st row063-563-4767
2nd row063-564-7506
3rd row063-564-2032
4th row063-564-2114
5th row063-562-9126
ValueCountFrequency (%)
063 3
 
0.2%
063-633-6320 3
 
0.2%
063-225-6870 2
 
0.2%
063-228-7543 2
 
0.2%
063-212-9012 2
 
0.2%
063-212-0009 2
 
0.2%
063-633-0151 2
 
0.2%
063-547-1400 2
 
0.2%
063-226-1649 2
 
0.2%
063-532-4557 2
 
0.2%
Other values (1233) 1236
98.3%
2024-03-14T09:50:59.955386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2516
16.7%
3 2206
14.6%
6 2087
13.8%
0 1950
12.9%
2 1420
9.4%
4 984
 
6.5%
5 981
 
6.5%
8 805
 
5.3%
7 802
 
5.3%
1 761
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12577
83.3%
Dash Punctuation 2516
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 2206
17.5%
6 2087
16.6%
0 1950
15.5%
2 1420
11.3%
4 984
7.8%
5 981
7.8%
8 805
 
6.4%
7 802
 
6.4%
1 761
 
6.1%
9 581
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 2516
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2516
16.7%
3 2206
14.6%
6 2087
13.8%
0 1950
12.9%
2 1420
9.4%
4 984
 
6.5%
5 981
 
6.5%
8 805
 
5.3%
7 802
 
5.3%
1 761
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2516
16.7%
3 2206
14.6%
6 2087
13.8%
0 1950
12.9%
2 1420
9.4%
4 984
 
6.5%
5 981
 
6.5%
8 805
 
5.3%
7 802
 
5.3%
1 761
 
5.0%

보육실수
Categorical

Distinct18
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
4
511 
3
396 
5
171 
6
162 
7
113 
Other values (13)
161 

Length

Max length5
Median length1
Mean length1.0343461
Min length1

Unique

Unique4 ?
Unique (%)0.3%

Sample

1st row5
2nd row7
3rd row4
4th row6
5th row6

Common Values

ValueCountFrequency (%)
4 511
33.8%
3 396
26.2%
5 171
 
11.3%
6 162
 
10.7%
7 113
 
7.5%
8 58
 
3.8%
9 31
 
2.0%
2 23
 
1.5%
10 18
 
1.2%
11 12
 
0.8%
Other values (8) 19
 
1.3%

Length

2024-03-14T09:51:00.083466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
4 511
33.8%
3 396
26.2%
5 171
 
11.3%
6 162
 
10.7%
7 113
 
7.5%
8 58
 
3.8%
9 31
 
2.0%
2 23
 
1.5%
10 18
 
1.2%
11 12
 
0.8%
Other values (8) 19
 
1.3%

놀이터수
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.67239102
Minimum0
Maximum7
Zeros804
Zeros (%)53.1%
Negative0
Negative (%)0.0%
Memory size13.4 KiB
2024-03-14T09:51:00.183115image/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 deviation0.89261712
Coefficient of variation (CV)1.3275268
Kurtosis4.5752366
Mean0.67239102
Median Absolute Deviation (MAD)0
Skewness1.73458
Sum1018
Variance0.79676533
MonotonicityNot monotonic
2024-03-14T09:51:00.273823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 804
53.1%
1 489
32.3%
2 162
 
10.7%
3 40
 
2.6%
4 13
 
0.9%
5 4
 
0.3%
7 1
 
0.1%
6 1
 
0.1%
ValueCountFrequency (%)
0 804
53.1%
1 489
32.3%
2 162
 
10.7%
3 40
 
2.6%
4 13
 
0.9%
5 4
 
0.3%
6 1
 
0.1%
7 1
 
0.1%
ValueCountFrequency (%)
7 1
 
0.1%
6 1
 
0.1%
5 4
 
0.3%
4 13
 
0.9%
3 40
 
2.6%
2 162
 
10.7%
1 489
32.3%
0 804
53.1%

CCTV수
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6664465
Minimum0
Maximum45
Zeros840
Zeros (%)55.5%
Negative0
Negative (%)0.0%
Memory size13.4 KiB
2024-03-14T09:51:00.398171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37
95-th percentile15
Maximum45
Range45
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.4423953
Coefficient of variation (CV)1.4843788
Kurtosis5.2404366
Mean3.6664465
Median Absolute Deviation (MAD)0
Skewness1.9137136
Sum5551
Variance29.619667
MonotonicityNot monotonic
2024-03-14T09:51:00.510382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 840
55.5%
4 127
 
8.4%
8 91
 
6.0%
9 56
 
3.7%
6 40
 
2.6%
7 40
 
2.6%
16 37
 
2.4%
3 34
 
2.2%
12 33
 
2.2%
5 31
 
2.0%
Other values (20) 185
 
12.2%
ValueCountFrequency (%)
0 840
55.5%
1 29
 
1.9%
2 24
 
1.6%
3 34
 
2.2%
4 127
 
8.4%
5 31
 
2.0%
6 40
 
2.6%
7 40
 
2.6%
8 91
 
6.0%
9 56
 
3.7%
ValueCountFrequency (%)
45 1
 
0.1%
33 1
 
0.1%
32 3
0.2%
31 1
 
0.1%
28 2
 
0.1%
27 1
 
0.1%
25 2
 
0.1%
24 1
 
0.1%
22 4
0.3%
20 5
0.3%

통학차량
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
운영(신고)
1315 
미운영
199 

Length

Max length6
Median length6
Mean length5.6056803
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row운영(신고)
2nd row운영(신고)
3rd row운영(신고)
4th row운영(신고)
5th row운영(신고)

Common Values

ValueCountFrequency (%)
운영(신고) 1315
86.9%
미운영 199
 
13.1%

Length

2024-03-14T09:51:00.646329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:51:00.788963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영(신고 1315
86.9%
미운영 199
 
13.1%

홈페이지
Text

MISSING 

Distinct201
Distinct (%)99.5%
Missing1312
Missing (%)86.7%
Memory size12.0 KiB
2024-03-14T09:51:00.985898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length33
Mean length23.89604
Min length6

Characters and Unicode

Total characters4827
Distinct characters62
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

Unique200 ?
Unique (%)99.0%

Sample

1st rowwww.gchks.or.kr
2nd rowhttp://cafe.naver.com/senuni
3rd rowhttp://wongc.or.kr
4th rowtown.cyworld.com/kyonganchild
5th rowhttp://cafe.naver.com/ewha7979
ValueCountFrequency (%)
http://jnb-iks.cykids.net 3
 
1.4%
cykids.net 2
 
1.0%
2
 
1.0%
http://jnb-iks.cykids.net/~p01179 1
 
0.5%
jnb-ims.cykids.net~hm7158 1
 
0.5%
http://jnb-iks.cykids.net/~p01028 1
 
0.5%
http://cafe.daum.net/hywonkwang 1
 
0.5%
cafe.daum.net/is-sunflower 1
 
0.5%
p01087.0363 1
 
0.5%
net 1
 
0.5%
Other values (196) 196
93.3%
2024-03-14T09:51:01.340658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 420
 
8.7%
t 364
 
7.5%
/ 324
 
6.7%
e 266
 
5.5%
n 260
 
5.4%
o 213
 
4.4%
w 210
 
4.4%
a 205
 
4.2%
c 195
 
4.0%
p 184
 
3.8%
Other values (52) 2186
45.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3397
70.4%
Other Punctuation 856
 
17.7%
Decimal Number 492
 
10.2%
Dash Punctuation 32
 
0.7%
Math Symbol 19
 
0.4%
Other Letter 17
 
0.4%
Space Separator 8
 
0.2%
Uppercase Letter 5
 
0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 364
 
10.7%
e 266
 
7.8%
n 260
 
7.7%
o 213
 
6.3%
w 210
 
6.2%
a 205
 
6.0%
c 195
 
5.7%
p 184
 
5.4%
h 159
 
4.7%
r 156
 
4.6%
Other values (16) 1185
34.9%
Other Letter
ValueCountFrequency (%)
집 2
11.8%
이 2
11.8%
린 2
11.8%
음 2
11.8%
어 2
11.8%
카 1
5.9%
생 1
5.9%
다 1
5.9%
영 1
5.9%
마 1
5.9%
Other values (2) 2
11.8%
Decimal Number
ValueCountFrequency (%)
0 116
23.6%
3 92
18.7%
1 79
16.1%
6 56
11.4%
4 29
 
5.9%
8 27
 
5.5%
2 27
 
5.5%
7 27
 
5.5%
9 20
 
4.1%
5 19
 
3.9%
Other Punctuation
ValueCountFrequency (%)
. 420
49.1%
/ 324
37.9%
: 106
 
12.4%
, 3
 
0.4%
; 2
 
0.2%
? 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
Q 3
60.0%
E 1
 
20.0%
R 1
 
20.0%
Math Symbol
ValueCountFrequency (%)
~ 18
94.7%
= 1
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3402
70.5%
Common 1408
29.2%
Hangul 17
 
0.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 364
 
10.7%
e 266
 
7.8%
n 260
 
7.6%
o 213
 
6.3%
w 210
 
6.2%
a 205
 
6.0%
c 195
 
5.7%
p 184
 
5.4%
h 159
 
4.7%
r 156
 
4.6%
Other values (19) 1190
35.0%
Common
ValueCountFrequency (%)
. 420
29.8%
/ 324
23.0%
0 116
 
8.2%
: 106
 
7.5%
3 92
 
6.5%
1 79
 
5.6%
6 56
 
4.0%
- 32
 
2.3%
4 29
 
2.1%
8 27
 
1.9%
Other values (11) 127
 
9.0%
Hangul
ValueCountFrequency (%)
집 2
11.8%
이 2
11.8%
린 2
11.8%
음 2
11.8%
어 2
11.8%
카 1
5.9%
생 1
5.9%
다 1
5.9%
영 1
5.9%
마 1
5.9%
Other values (2) 2
11.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4810
99.6%
Hangul 17
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 420
 
8.7%
t 364
 
7.6%
/ 324
 
6.7%
e 266
 
5.5%
n 260
 
5.4%
o 213
 
4.4%
w 210
 
4.4%
a 205
 
4.3%
c 195
 
4.1%
p 184
 
3.8%
Other values (40) 2169
45.1%
Hangul
ValueCountFrequency (%)
집 2
11.8%
이 2
11.8%
린 2
11.8%
음 2
11.8%
어 2
11.8%
카 1
5.9%
생 1
5.9%
다 1
5.9%
영 1
5.9%
마 1
5.9%
Other values (2) 2
11.8%

평가인증
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
True
1334 
False
180 
ValueCountFrequency (%)
True 1334
88.1%
False 180
 
11.9%
2024-03-14T09:51:01.455408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

야간보육
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
<NA>
1106 
o
408 

Length

Max length4
Median length4
Mean length3.1915456
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd rowo
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1106
73.1%
o 408
 
26.9%

Length

2024-03-14T09:51:01.554437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:51:01.647419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1106
73.1%
o 408
 
26.9%

데이터기준
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1514
Missing (%)100.0%
Memory size13.4 KiB

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
사회복지과
1514 

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 1514
100.0%

Length

2024-03-14T09:51:01.737473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:51:01.814017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사회복지과 1514
100.0%

공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
공개
1514 

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 1514
100.0%

Length

2024-03-14T09:51:01.909060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:51:01.980332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 1514
100.0%

작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
2017.08
1514 

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 1514
100.0%

Length

2024-03-14T09:51:02.057649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:51:02.132371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017.08 1514
100.0%

갱신주기
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
1년
1514 

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 1514
100.0%

Length

2024-03-14T09:51:02.203933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:51:02.276608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1년 1514
100.0%

Sample

순번시군명어린이집명유형정원수교직원수도로명주소전화번호팩스번호보육실수놀이터수CCTV수통학차량홈페이지평가인증야간보육데이터기준자료출처공개여부작성일갱신주기
01고창군고수원광어린이집사회복지법인8011전라북도 고창군 고수면 고수농공단지길 61-2063-563-4768063-563-4767520운영(신고)www.gchks.or.krY<NA><NA>사회복지과공개2017.081년
12고창군고창보듬이나눔이어린이집국공립9920전라북도 고창군 고창읍 월곡뉴타운2길 20 고창보듬이나눔이 어린이집063-564-0506063-564-7506714운영(신고)http://cafe.naver.com/senuniYo<NA>사회복지과공개2017.081년
23고창군고창어린이집국공립457전라북도 고창군 고창읍 교촌1길 22063-564-2012063-564-2032412운영(신고)<NA>Y<NA><NA>사회복지과공개2017.081년
34고창군고창원광어린이집법인?단체등6913전라북도 고창군 고창읍 모양성로 104063-564-2501063-564-2114610운영(신고)http://wongc.or.krY<NA><NA>사회복지과공개2017.081년
45고창군공음어린이집법인?단체등497전라북도 고창군 공음면 참나무정1길 26063-562-9125063-562-9126620운영(신고)<NA>Y<NA><NA>사회복지과공개2017.081년
56고창군꿈나무어린이집민간9010전라북도 고창군 흥덕면 문화1길 24-6063-563-4711063-562-23089116운영(신고)<NA>Yo<NA>사회복지과공개2017.081년
67고창군대산사랑어린이집법인?단체등457전라북도 고창군 대산면 공음대산로 914-3063-564-0450063-564-0451520운영(신고)<NA>Y<NA><NA>사회복지과공개2017.081년
78고창군동화나라어린이집민간7010전라북도 고창군 대산면 사거1길 72063-562-8509063-562-8856518운영(신고)<NA>Yo<NA>사회복지과공개2017.081년
89고창군무장제일어린이집법인?단체등5710전라북도 고창군 무장면 무장초등길 46063-562-9078063-563-9079510운영(신고)<NA>Yo<NA>사회복지과공개2017.081년
910고창군사임당 경안어린이집법인?단체등4514전라북도 고창군 고창읍 남정7길 17-1063-564-0431063-561-2983413운영(신고)town.cyworld.com/kyonganchildYo<NA>사회복지과공개2017.081년
순번시군명어린이집명유형정원수교직원수도로명주소전화번호팩스번호보육실수놀이터수CCTV수통학차량홈페이지평가인증야간보육데이터기준자료출처공개여부작성일갱신주기
15041505정읍시휴먼시아 세인어린이집민간249전라북도 정읍시 학산로 89-72 상동 휴먼시아아파트 단지내063-537-1649063-538-9649424운영(신고)<NA>Y<NA><NA>사회복지과공개2017.081년
15051506정읍시힘찬어린이집가정164전라북도 정읍시 말고개길 73-5 101동 103호(구룡동, 영창파크타운)063-538-2091063-532-2091310운영(신고)<NA>Yo<NA>사회복지과공개2017.081년
15061507진안군마령어린이집국공립406전라북도 진안군 마령면 솔안1길 8063-432-3322063-432-2323614운영(신고)<NA>Yo<NA>사회복지과공개2017.081년
15071508진안군사랑어린이집법인?단체등749전라북도 진안군 진안읍 대괭이길 40-57063-433-5295063-433-7296513운영(신고)<NA>Y<NA><NA>사회복지과공개2017.081년
15081509진안군성화어린이집법인?단체등648전라북도 진안군 진안읍 당산길 19-7063-433-1859063-433-1977610운영(신고)<NA>Y<NA><NA>사회복지과공개2017.081년
15091510진안군월랑원광어린이집법인?단체등8810전라북도 진안군 진안읍 중앙로 41063-433-0330063-433-6033520운영(신고)<NA>Y<NA><NA>사회복지과공개2017.081년
15101511진안군전통생활어린이집민간392전라북도 진안군 부귀면 운장로 28-9063-433-1936063-433-1936317운영(신고)<NA>N<NA><NA>사회복지과공개2017.081년
15111512진안군좌포원광어린이집법인?단체등355전라북도 진안군 성수면 원좌길 33-12063-432-9072063-432-9078410운영(신고)<NA>Y<NA><NA>사회복지과공개2017.081년
15121513진안군진안어린이집국공립9914전라북도 진안군 진안읍 중연길 20-12063-432-7778063-432-37787215운영(신고)<NA>Yo<NA>사회복지과공개2017.081년
15131514진안군진안제일어린이집법인?단체등609전라북도 진안군 진안읍 진장로 31-5063-432-2332063-432-7477417운영(신고)<NA>Y<NA><NA>사회복지과공개2017.081년