Overview

Dataset statistics

Number of variables12
Number of observations471
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory47.0 KiB
Average record size in memory102.3 B

Variable types

Categorical2
Numeric6
Text3
DateTime1

Dataset

Description부천시 소재 어린이집 현황에 대한 데이터로 어린이집유형, 어린이집코드, 어린이집, 행정동, 우편번호, 주소, 정원, 전화번호, 놀이터수, 위도, 경도, 데이터기준일자 등을 제공
URLhttps://www.data.go.kr/data/3079416/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
어린이집코드 is highly overall correlated with 행정동High correlation
우편번호 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
정원 is highly overall correlated with 놀이터수High correlation
놀이터수 is highly overall correlated with 정원High correlation
위도 is highly overall correlated with 우편번호 and 1 other fieldsHigh correlation
행정동 is highly overall correlated with 어린이집코드 and 2 other fieldsHigh correlation
어린이집코드 has unique valuesUnique
어린이집 has unique valuesUnique
주소 has unique valuesUnique
놀이터수 has 336 (71.3%) zerosZeros

Reproduction

Analysis started2023-12-12 22:03:18.062737
Analysis finished2023-12-12 22:03:23.258788
Duration5.2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

어린이집유형
Categorical

Distinct7
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
가정
220 
민간
167 
국공립
59 
법인·단체등
 
10
직장
 
9
Other values (2)
 
6

Length

Max length6
Median length2
Mean length2.2271762
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가정 220
46.7%
민간 167
35.5%
국공립 59
 
12.5%
법인·단체등 10
 
2.1%
직장 9
 
1.9%
협동 4
 
0.8%
사회복지법인 2
 
0.4%

Length

2023-12-13T07:03:23.338578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:03:23.454702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정 220
46.7%
민간 167
35.5%
국공립 59
 
12.5%
법인·단체등 10
 
2.1%
직장 9
 
1.9%
협동 4
 
0.8%
사회복지법인 2
 
0.4%

어린이집코드
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct471
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1194752 × 1010
Minimum4.119 × 1010
Maximum4.1199 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2023-12-13T07:03:23.585338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.119 × 1010
5-th percentile4.119 × 1010
Q14.1195 × 1010
median4.1195 × 1010
Q34.1197 × 1010
95-th percentile4.1199 × 1010
Maximum4.1199 × 1010
Range9000160
Interquartile range (IQR)2000066.5

Descriptive statistics

Standard deviation2990705.5
Coefficient of variation (CV)7.2599187 × 10-5
Kurtosis-0.84000018
Mean4.1194752 × 1010
Median Absolute Deviation (MAD)1999872
Skewness-0.48892306
Sum1.9402728 × 1013
Variance8.9443193 × 1012
MonotonicityNot monotonic
2023-12-13T07:03:23.731255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41197000053 1
 
0.2%
41190000290 1
 
0.2%
41197000057 1
 
0.2%
41190000261 1
 
0.2%
41195000237 1
 
0.2%
41199000055 1
 
0.2%
41195000077 1
 
0.2%
41190000010 1
 
0.2%
41197000028 1
 
0.2%
41190000297 1
 
0.2%
Other values (461) 461
97.9%
ValueCountFrequency (%)
41190000003 1
0.2%
41190000004 1
0.2%
41190000005 1
0.2%
41190000006 1
0.2%
41190000008 1
0.2%
41190000009 1
0.2%
41190000010 1
0.2%
41190000011 1
0.2%
41190000013 1
0.2%
41190000015 1
0.2%
ValueCountFrequency (%)
41199000163 1
0.2%
41199000161 1
0.2%
41199000156 1
0.2%
41199000142 1
0.2%
41199000140 1
0.2%
41199000139 1
0.2%
41199000135 1
0.2%
41199000134 1
0.2%
41199000133 1
0.2%
41199000132 1
0.2%

어린이집
Text

UNIQUE 

Distinct471
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2023-12-13T07:03:23.915708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length7.7537155
Min length5

Characters and Unicode

Total characters3652
Distinct characters325
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique471 ?
Unique (%)100.0%

Sample

1st rowABC몬테소리어린이집
2nd rowDB하이텍 햇살어린이집
3rd rowI-즐거운어린이집
4th rowSK아름드리어린이집
5th row가나다어린이집
ValueCountFrequency (%)
어린이집 7
 
1.4%
우리들어린이집 1
 
0.2%
올리브어린이집 1
 
0.2%
온새미로어린이집 1
 
0.2%
온빛가득어린이집 1
 
0.2%
온누리중동어린이집 1
 
0.2%
온누리어린이집 1
 
0.2%
옥스포드어린이집 1
 
0.2%
옥길행복어린이집 1
 
0.2%
옥길푸른나무어린이집 1
 
0.2%
Other values (472) 472
96.7%
2023-12-13T07:03:24.238074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 523
 
14.3%
린 477
 
13.1%
어 475
 
13.0%
집 471
 
12.9%
아 67
 
1.8%
사 49
 
1.3%
동 41
 
1.1%
리 40
 
1.1%
나 37
 
1.0%
소 36
 
1.0%
Other values (315) 1436
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3608
98.8%
Space Separator 17
 
0.5%
Lowercase Letter 11
 
0.3%
Uppercase Letter 9
 
0.2%
Decimal Number 6
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 523
 
14.5%
린 477
 
13.2%
어 475
 
13.2%
집 471
 
13.1%
아 67
 
1.9%
사 49
 
1.4%
동 41
 
1.1%
리 40
 
1.1%
나 37
 
1.0%
소 36
 
1.0%
Other values (294) 1392
38.6%
Lowercase Letter
ValueCountFrequency (%)
o 2
18.2%
s 2
18.2%
e 1
9.1%
l 1
9.1%
h 1
9.1%
c 1
9.1%
d 1
9.1%
i 1
9.1%
k 1
9.1%
Uppercase Letter
ValueCountFrequency (%)
I 2
22.2%
B 2
22.2%
A 1
11.1%
K 1
11.1%
S 1
11.1%
C 1
11.1%
D 1
11.1%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
1 2
33.3%
3 1
 
16.7%
Space Separator
ValueCountFrequency (%)
17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3608
98.8%
Common 24
 
0.7%
Latin 20
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 523
 
14.5%
린 477
 
13.2%
어 475
 
13.2%
집 471
 
13.1%
아 67
 
1.9%
사 49
 
1.4%
동 41
 
1.1%
리 40
 
1.1%
나 37
 
1.0%
소 36
 
1.0%
Other values (294) 1392
38.6%
Latin
ValueCountFrequency (%)
o 2
 
10.0%
I 2
 
10.0%
B 2
 
10.0%
s 2
 
10.0%
e 1
 
5.0%
l 1
 
5.0%
h 1
 
5.0%
c 1
 
5.0%
d 1
 
5.0%
i 1
 
5.0%
Other values (6) 6
30.0%
Common
ValueCountFrequency (%)
17
70.8%
2 3
 
12.5%
1 2
 
8.3%
3 1
 
4.2%
- 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3608
98.8%
ASCII 44
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 523
 
14.5%
린 477
 
13.2%
어 475
 
13.2%
집 471
 
13.1%
아 67
 
1.9%
사 49
 
1.4%
동 41
 
1.1%
리 40
 
1.1%
나 37
 
1.0%
소 36
 
1.0%
Other values (294) 1392
38.6%
ASCII
ValueCountFrequency (%)
17
38.6%
2 3
 
6.8%
o 2
 
4.5%
I 2
 
4.5%
1 2
 
4.5%
B 2
 
4.5%
s 2
 
4.5%
e 1
 
2.3%
l 1
 
2.3%
h 1
 
2.3%
Other values (11) 11
25.0%

행정동
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
신중동
91 
범안동
69 
상동
68 
부천동
47 
대산동
43 
Other values (5)
153 

Length

Max length4
Median length3
Mean length2.8853503
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row소사본동
2nd row부천동
3rd row범안동
4th row소사본동
5th row신중동

Common Values

ValueCountFrequency (%)
신중동 91
19.3%
범안동 69
14.6%
상동 68
14.4%
부천동 47
10.0%
대산동 43
9.1%
성곡동 41
8.7%
오정동 38
8.1%
소사본동 32
 
6.8%
심곡동 24
 
5.1%
중동 18
 
3.8%

Length

2023-12-13T07:03:24.387174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:03:24.529176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신중동 91
19.3%
범안동 69
14.6%
상동 68
14.4%
부천동 47
10.0%
대산동 43
9.1%
성곡동 41
8.7%
오정동 38
8.1%
소사본동 32
 
6.8%
심곡동 24
 
5.1%
중동 18
 
3.8%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct213
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14604.749
Minimum14400
Maximum14790
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2023-12-13T07:03:24.669943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14400
5-th percentile14426
Q114518.5
median14593
Q314699
95-th percentile14783
Maximum14790
Range390
Interquartile range (IQR)180.5

Descriptive statistics

Standard deviation111.93671
Coefficient of variation (CV)0.0076644045
Kurtosis-1.0660701
Mean14604.749
Median Absolute Deviation (MAD)87
Skewness0.097115155
Sum6878837
Variance12529.826
MonotonicityNot monotonic
2023-12-13T07:03:24.825803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14596 12
 
2.5%
14786 10
 
2.1%
14597 10
 
2.1%
14579 9
 
1.9%
14591 9
 
1.9%
14536 9
 
1.9%
14613 7
 
1.5%
14511 7
 
1.5%
14586 7
 
1.5%
14550 6
 
1.3%
Other values (203) 385
81.7%
ValueCountFrequency (%)
14400 1
 
0.2%
14402 1
 
0.2%
14407 2
0.4%
14408 1
 
0.2%
14409 4
0.8%
14413 1
 
0.2%
14414 1
 
0.2%
14415 2
0.4%
14416 1
 
0.2%
14421 3
0.6%
ValueCountFrequency (%)
14790 2
 
0.4%
14789 2
 
0.4%
14788 3
 
0.6%
14787 3
 
0.6%
14786 10
2.1%
14784 3
 
0.6%
14783 3
 
0.6%
14782 5
1.1%
14781 2
 
0.4%
14780 1
 
0.2%

주소
Text

UNIQUE 

Distinct471
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2023-12-13T07:03:25.126871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length46
Mean length35.254777
Min length15

Characters and Unicode

Total characters16605
Distinct characters264
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique471 ?
Unique (%)100.0%

Sample

1st row경기도 부천시 소사로78번길 42 관리동 (소사본동, 풍림아파트)
2nd row경기도 부천시 수도로 90 (도당동, DB하이텍)
3rd row경기도 부천시 범안로21번길 39 2동 102호 (괴안동, 아주아파트)
4th row경기도 부천시 소삼로 62 108동 102호 (소사본동, 소사에스케이뷰아파트)
5th row경기도 부천시 조마루로 231 929동 101호 (중동, 미리내마을)
ValueCountFrequency (%)
경기도 471
 
14.8%
부천시 471
 
14.8%
중동 67
 
2.1%
상동 49
 
1.5%
관리동 49
 
1.5%
1층 48
 
1.5%
101호 39
 
1.2%
소사본동 28
 
0.9%
104호 25
 
0.8%
괴안동 23
 
0.7%
Other values (894) 1917
60.2%
2023-12-13T07:03:25.754368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2716
 
16.4%
1 910
 
5.5%
동 812
 
4.9%
부 548
 
3.3%
천 533
 
3.2%
도 515
 
3.1%
경 502
 
3.0%
시 491
 
3.0%
로 473
 
2.8%
0 472
 
2.8%
Other values (254) 8633
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9322
56.1%
Decimal Number 3201
 
19.3%
Space Separator 2716
 
16.4%
Close Punctuation 463
 
2.8%
Open Punctuation 462
 
2.8%
Other Punctuation 344
 
2.1%
Dash Punctuation 62
 
0.4%
Uppercase Letter 23
 
0.1%
Math Symbol 9
 
0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 812
 
8.7%
부 548
 
5.9%
천 533
 
5.7%
도 515
 
5.5%
경 502
 
5.4%
시 491
 
5.3%
로 473
 
5.1%
기 471
 
5.1%
길 270
 
2.9%
아 247
 
2.6%
Other values (227) 4460
47.8%
Decimal Number
ValueCountFrequency (%)
1 910
28.4%
0 472
14.7%
2 439
13.7%
3 276
 
8.6%
4 249
 
7.8%
6 207
 
6.5%
7 192
 
6.0%
5 169
 
5.3%
8 151
 
4.7%
9 136
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
L 4
17.4%
C 4
17.4%
H 4
17.4%
K 3
13.0%
S 2
8.7%
B 2
8.7%
G 1
 
4.3%
D 1
 
4.3%
E 1
 
4.3%
A 1
 
4.3%
Space Separator
ValueCountFrequency (%)
2716
100.0%
Close Punctuation
ValueCountFrequency (%)
) 463
100.0%
Open Punctuation
ValueCountFrequency (%)
( 462
100.0%
Other Punctuation
ValueCountFrequency (%)
, 344
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9322
56.1%
Common 7257
43.7%
Latin 26
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 812
 
8.7%
부 548
 
5.9%
천 533
 
5.7%
도 515
 
5.5%
경 502
 
5.4%
시 491
 
5.3%
로 473
 
5.1%
기 471
 
5.1%
길 270
 
2.9%
아 247
 
2.6%
Other values (227) 4460
47.8%
Common
ValueCountFrequency (%)
2716
37.4%
1 910
 
12.5%
0 472
 
6.5%
) 463
 
6.4%
( 462
 
6.4%
2 439
 
6.0%
, 344
 
4.7%
3 276
 
3.8%
4 249
 
3.4%
6 207
 
2.9%
Other values (6) 719
 
9.9%
Latin
ValueCountFrequency (%)
L 4
15.4%
C 4
15.4%
H 4
15.4%
K 3
11.5%
e 3
11.5%
S 2
7.7%
B 2
7.7%
G 1
 
3.8%
D 1
 
3.8%
E 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9322
56.1%
ASCII 7283
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2716
37.3%
1 910
 
12.5%
0 472
 
6.5%
) 463
 
6.4%
( 462
 
6.3%
2 439
 
6.0%
, 344
 
4.7%
3 276
 
3.8%
4 249
 
3.4%
6 207
 
2.8%
Other values (17) 745
 
10.2%
Hangul
ValueCountFrequency (%)
동 812
 
8.7%
부 548
 
5.9%
천 533
 
5.7%
도 515
 
5.5%
경 502
 
5.4%
시 491
 
5.3%
로 473
 
5.1%
기 471
 
5.1%
길 270
 
2.9%
아 247
 
2.6%
Other values (227) 4460
47.8%

정원
Real number (ℝ)

HIGH CORRELATION 

Distinct94
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.367304
Minimum9
Maximum250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2023-12-13T07:03:25.945359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile15
Q120
median26
Q352
95-th percentile96
Maximum250
Range241
Interquartile range (IQR)32

Descriptive statistics

Standard deviation33.894563
Coefficient of variation (CV)0.81935635
Kurtosis9.8824298
Mean41.367304
Median Absolute Deviation (MAD)8
Skewness2.556836
Sum19484
Variance1148.8414
MonotonicityNot monotonic
2023-12-13T07:03:26.407431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 140
29.7%
19 40
 
8.5%
49 23
 
4.9%
15 11
 
2.3%
18 10
 
2.1%
99 7
 
1.5%
16 7
 
1.5%
80 7
 
1.5%
27 6
 
1.3%
67 6
 
1.3%
Other values (84) 214
45.4%
ValueCountFrequency (%)
9 1
 
0.2%
10 2
 
0.4%
11 3
 
0.6%
12 1
 
0.2%
13 6
1.3%
14 2
 
0.4%
15 11
2.3%
16 7
1.5%
17 5
1.1%
18 10
2.1%
ValueCountFrequency (%)
250 1
0.2%
239 1
0.2%
235 1
0.2%
234 1
0.2%
179 1
0.2%
170 1
0.2%
162 1
0.2%
150 1
0.2%
148 1
0.2%
130 1
0.2%

전화번호
Text

Distinct470
Distinct (%)100.0%
Missing1
Missing (%)0.2%
Memory size3.8 KiB
2023-12-13T07:03:26.672883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.008511
Min length12

Characters and Unicode

Total characters5644
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

Unique470 ?
Unique (%)100.0%

Sample

1st row032-342-5119
2nd row032-680-4457
3rd row032-344-4132
4th row032-341-9020
5th row032-322-7757
ValueCountFrequency (%)
032-342-5119 1
 
0.2%
032-342-2241 1
 
0.2%
02-6954-1880 1
 
0.2%
032-325-6216 1
 
0.2%
032-676-2950 1
 
0.2%
032-326-0701 1
 
0.2%
032-655-1756 1
 
0.2%
032-666-6301 1
 
0.2%
032-341-1518 1
 
0.2%
032-343-5979 1
 
0.2%
Other values (460) 460
97.9%
2023-12-13T07:03:27.095359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 944
16.7%
- 940
16.7%
2 865
15.3%
0 746
13.2%
6 488
8.6%
7 340
 
6.0%
1 320
 
5.7%
4 315
 
5.6%
5 289
 
5.1%
8 213
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4704
83.3%
Dash Punctuation 940
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 944
20.1%
2 865
18.4%
0 746
15.9%
6 488
10.4%
7 340
 
7.2%
1 320
 
6.8%
4 315
 
6.7%
5 289
 
6.1%
8 213
 
4.5%
9 184
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 940
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5644
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 944
16.7%
- 940
16.7%
2 865
15.3%
0 746
13.2%
6 488
8.6%
7 340
 
6.0%
1 320
 
5.7%
4 315
 
5.6%
5 289
 
5.1%
8 213
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5644
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 944
16.7%
- 940
16.7%
2 865
15.3%
0 746
13.2%
6 488
8.6%
7 340
 
6.0%
1 320
 
5.7%
4 315
 
5.6%
5 289
 
5.1%
8 213
 
3.8%

놀이터수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct7
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.46921444
Minimum0
Maximum6
Zeros336
Zeros (%)71.3%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2023-12-13T07:03:27.226242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.89359852
Coefficient of variation (CV)1.9044566
Kurtosis6.8843574
Mean0.46921444
Median Absolute Deviation (MAD)0
Skewness2.3837655
Sum221
Variance0.79851832
MonotonicityNot monotonic
2023-12-13T07:03:27.355153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 336
71.3%
1 78
 
16.6%
2 37
 
7.9%
3 15
 
3.2%
4 2
 
0.4%
5 2
 
0.4%
6 1
 
0.2%
ValueCountFrequency (%)
0 336
71.3%
1 78
 
16.6%
2 37
 
7.9%
3 15
 
3.2%
4 2
 
0.4%
5 2
 
0.4%
6 1
 
0.2%
ValueCountFrequency (%)
6 1
 
0.2%
5 2
 
0.4%
4 2
 
0.4%
3 15
 
3.2%
2 37
 
7.9%
1 78
 
16.6%
0 336
71.3%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct413
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.49661
Minimum37.369851
Maximum37.56647
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2023-12-13T07:03:27.499349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.369851
5-th percentile37.468876
Q137.481862
median37.495079
Q337.510024
95-th percentile37.527237
Maximum37.56647
Range0.19661945
Interquartile range (IQR)0.02816231

Descriptive statistics

Standard deviation0.019215001
Coefficient of variation (CV)0.00051244636
Kurtosis3.420088
Mean37.49661
Median Absolute Deviation (MAD)0.01421153
Skewness-0.29969315
Sum17660.903
Variance0.00036921627
MonotonicityNot monotonic
2023-12-13T07:03:27.639102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.51186482 4
 
0.8%
37.51002411 4
 
0.8%
37.4918078064 4
 
0.8%
37.50025312 4
 
0.8%
37.49870031 4
 
0.8%
37.51472235 4
 
0.8%
37.49978945 4
 
0.8%
37.47731217 3
 
0.6%
37.49343333 3
 
0.6%
37.4663202289 3
 
0.6%
Other values (403) 434
92.1%
ValueCountFrequency (%)
37.36985054661229 1
0.2%
37.4612778 1
0.2%
37.4621748447176 1
0.2%
37.46231542752766 1
0.2%
37.46284935740373 1
0.2%
37.46313829660327 1
0.2%
37.46326406083569 1
0.2%
37.4634720241 2
0.4%
37.46370186332606 1
0.2%
37.46518739410718 1
0.2%
ValueCountFrequency (%)
37.56647 2
0.4%
37.54314893 1
0.2%
37.53275731 1
0.2%
37.53219113 1
0.2%
37.5316144066157 1
0.2%
37.53154444810651 1
0.2%
37.53105376 1
0.2%
37.53089209 2
0.4%
37.52994869 1
0.2%
37.52946444941571 1
0.2%

경도
Real number (ℝ)

Distinct413
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.78559
Minimum126.74241
Maximum127.3624
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2023-12-13T07:03:27.797835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.74241
5-th percentile126.75065
Q1126.76589
median126.78259
Q3126.80375
95-th percentile126.81998
Maximum127.3624
Range0.6199949
Interquartile range (IQR)0.037863282

Descriptive statistics

Standard deviation0.036948587
Coefficient of variation (CV)0.00029142575
Kurtosis128.37716
Mean126.78559
Median Absolute Deviation (MAD)0.019741561
Skewness8.6920423
Sum59716.015
Variance0.0013651981
MonotonicityNot monotonic
2023-12-13T07:03:27.929814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7510617 4
 
0.8%
126.7608219 4
 
0.8%
126.7669886247 4
 
0.8%
126.7704549 4
 
0.8%
126.7584486 4
 
0.8%
126.7562207 4
 
0.8%
126.7506533 4
 
0.8%
126.803204 3
 
0.6%
126.7529304 3
 
0.6%
126.8207792093 3
 
0.6%
Other values (403) 434
92.1%
ValueCountFrequency (%)
126.74240538868578 1
0.2%
126.742471 1
0.2%
126.7445913885 1
0.2%
126.7448515 1
0.2%
126.74706773263657 1
0.2%
126.7474591 1
0.2%
126.7475601468 2
0.4%
126.7487339638882 1
0.2%
126.7488073595 1
0.2%
126.74889311839353 1
0.2%
ValueCountFrequency (%)
127.36240028890371 1
0.2%
126.977963 2
0.4%
126.8269436131 2
0.4%
126.8263054905 2
0.4%
126.8255544 1
0.2%
126.8252623 1
0.2%
126.8251156601094 1
0.2%
126.8249474 1
0.2%
126.8248285 1
0.2%
126.8248004 1
0.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
Minimum2023-06-08 00:00:00
Maximum2023-06-08 00:00:00
2023-12-13T07:03:28.048696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:28.124776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T07:03:22.380053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:18.749996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:19.707741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:20.385674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:20.955013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:21.584672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:22.491832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:18.834716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:19.794141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:20.472494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:21.042381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:21.737976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:22.620651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:19.324007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:19.901084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:20.572735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:21.139508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:21.908920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:22.736733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:19.420564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:20.036942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:20.657773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:21.246926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:22.034648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:22.825338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:19.539411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:20.146835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:20.758882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:21.358004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:22.143149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:22.918079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:19.628196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:20.280465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:20.869686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:21.463792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:22.279306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:03:28.190854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
어린이집유형어린이집코드행정동우편번호정원놀이터수위도경도
어린이집유형1.0000.5710.3580.1860.6050.5510.4320.294
어린이집코드0.5711.0000.8690.8490.3010.2390.7360.445
행정동0.3580.8691.0000.9520.2560.1890.7590.660
우편번호0.1860.8490.9521.0000.2440.2480.8050.561
정원0.6050.3010.2560.2441.0000.5950.1870.000
놀이터수0.5510.2390.1890.2480.5951.0000.1990.028
위도0.4320.7360.7590.8050.1870.1991.0000.897
경도0.2940.4450.6600.5610.0000.0280.8971.000
2023-12-13T07:03:28.290914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
어린이집유형행정동
어린이집유형1.0000.189
행정동0.1891.000
2023-12-13T07:03:28.372593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
어린이집코드우편번호정원놀이터수위도경도어린이집유형행정동
어린이집코드1.000-0.139-0.144-0.1000.1190.1840.4310.723
우편번호-0.1391.0000.0880.012-0.9510.1770.0950.631
정원-0.1440.0881.0000.734-0.0850.1640.3750.119
놀이터수-0.1000.0120.7341.000-0.0260.1570.2190.096
위도0.119-0.951-0.085-0.0261.000-0.2080.1630.518
경도0.1840.1770.1640.157-0.2081.0000.2050.458
어린이집유형0.4310.0950.3750.2190.1630.2051.0000.189
행정동0.7230.6310.1190.0960.5180.4580.1891.000

Missing values

2023-12-13T07:03:23.040239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:03:23.199281image/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

어린이집유형어린이집코드어린이집행정동우편번호주소정원전화번호놀이터수위도경도데이터기준일자
0민간41197000053ABC몬테소리어린이집소사본동14774경기도 부천시 소사로78번길 42 관리동 (소사본동, 풍림아파트)49032-342-5119037.465421126.8014232023-06-08
1직장41195000314DB하이텍 햇살어린이집부천동14519경기도 부천시 수도로 90 (도당동, DB하이텍)85032-680-4457137.514348126.7756222023-06-08
2가정41197000071I-즐거운어린이집범안동14688경기도 부천시 범안로21번길 39 2동 102호 (괴안동, 아주아파트)16032-344-4132037.479951126.8095852023-06-08
3가정41197000054SK아름드리어린이집소사본동14700경기도 부천시 소삼로 62 108동 102호 (소사본동, 소사에스케이뷰아파트)19032-341-9020037.477209126.7999162023-06-08
4가정41195000031가나다어린이집신중동14579경기도 부천시 조마루로 231 929동 101호 (중동, 미리내마을)20032-322-7757037.49977126.7694072023-06-08
5가정41190000248가온누리어린이집신중동14551경기도 부천시 계남로340번길 8 (중동)20032-663-1486037.500739126.7822642023-06-08
6직장41190000280가톨릭대학교요한어린이집부천동14662경기도 부천시 지봉로 43 1층 (역곡동, 가톨릭대학교 성심교정 창업보육지원센터)48032-710-2078037.486931126.8001062023-06-08
7가정41195000178감나무어린이집신중동14539경기도 부천시 계남로 196 624동 104호 (중동, 중흥마을 주공아파트)13032-323-4580037.506642126.7708832023-06-08
8가정41195000310개구쟁이어린이집신중동14538경기도 부천시 석천로 216 512동 103호 (중동, 은하마을 대우,동부아파트)20032-322-4766037.505869126.7637662023-06-08
9가정41195000247건강한어린이집신중동14583경기도 부천시 조마루로 135 819동 103호 (중동, 포도마을 삼보,영남아파트)20032-324-9365037.501066126.7592032023-06-08
어린이집유형어린이집코드어린이집행정동우편번호주소정원전화번호놀이터수위도경도데이터기준일자
461가정41197000031현대몬테소리어린이집범안동14773경기도 부천시 은성로 172-17 608동 102호 (범박동, 부천범박힐스테이트 6단지)19032-342-6632037.468838126.806282023-06-08
462민간41197000125현대아이스쿨어린이집범안동14773경기도 부천시 은성로 172-17 관리동 (범박동, 부천범박힐스테이트 6단지)38032-351-3937037.47018126.806122023-06-08
463민간41197000025현대어린이집범안동14777경기도 부천시 범안로96번길 23 관리동 (범박동, 부천범박힐스테이트4단지아파트)52032-351-3938137.472748126.8083342023-06-08
464가정41197000021현대해와달어린이집범안동14777경기도 부천시 범안로96번길 23 408동 101호 (범박동, 부천범박힐스테이트4단지아파트)20032-351-1748037.472748126.8083342023-06-08
465가정41197000123현어린이집대산동14749경기도 부천시 심곡로63번길 65 (심곡본동)20032-611-5288037.477854126.7793182023-06-08
466사회복지법인41190000013혜림어린이집대산동14753경기도 부천시 경인로304번길 26 (심곡본동)30032-666-7995037.480932126.7887452023-06-08
467가정41190000276호반꿈어린이집범안동14790경기도 부천시 범안로 220 102동 101호 (옥길동, 옥길호반베르디움)20032-347-8291037.463472126.810882023-06-08
468민간41190000293호반몬테소리어린이집범안동14790경기도 부천시 범안로 220 관리동 1층 (옥길동, 옥길호반베르디움)99032-344-1006137.463472126.810882023-06-08
469가정41199000127효마을어린이집오정동14436경기도 부천시 오정로232번길 51-11 101동 103호 (오정동, 효마을아파트)20032-675-8585037.524675126.785462023-06-08
470국공립41190000318힐스테이트중동어린이집신중동14547경기도 부천시 길주로 234 1층 힐스테이트중동어린이집88032-322-9484037.503015126.7681352023-06-08