Overview

Dataset statistics

Number of variables10
Number of observations49
Missing cells1
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory85.6 B

Variable types

Text4
Categorical3
Numeric2
DateTime1

Dataset

Description지역아동센터는 지역사회 아동의 보호, 교육, 건전한 놀이와 오락의 제공, 보호자와 지역사회의 연계 등 아동의 건전 육성을 위하여 종합적인 아동복지 서비스를 제공
Author전북특별자치도 익산시
URLhttps://www.data.go.kr/data/15112719/fileData.do

Alerts

정원 is highly overall correlated with 현원 and 1 other fieldsHigh correlation
현원 is highly overall correlated with 정원 and 1 other fieldsHigh correlation
종사자 수 is highly overall correlated with 정원 and 1 other fieldsHigh correlation
전화번호 has 1 (2.0%) missing valuesMissing
시설명 has unique valuesUnique
도로명 주소 has unique valuesUnique
홈페이지 주소 has unique valuesUnique

Reproduction

Analysis started2024-03-14 22:49:33.089337
Analysis finished2024-03-14 22:49:35.106503
Duration2.02 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size520.0 B
2024-03-15T07:49:35.814546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.7959184
Min length2

Characters and Unicode

Total characters137
Distinct characters100
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)100.0%

Sample

1st row 가온
2nd row구세군배산
3rd row꿈꾸는
4th row남중
5th row늘감사
ValueCountFrequency (%)
가온 1
 
2.0%
야!우리 1
 
2.0%
영등 1
 
2.0%
영재 1
 
2.0%
영천 1
 
2.0%
예손 1
 
2.0%
오산 1
 
2.0%
옥야 1
 
2.0%
익산 1
 
2.0%
정다운 1
 
2.0%
Other values (39) 39
79.6%
2024-03-15T07:49:37.218670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9
 
6.6%
산 6
 
4.4%
영 3
 
2.2%
랑 3
 
2.2%
등 3
 
2.2%
동 3
 
2.2%
천 3
 
2.2%
리 2
 
1.5%
신 2
 
1.5%
밀 2
 
1.5%
Other values (90) 101
73.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 127
92.7%
Space Separator 9
 
6.6%
Other Punctuation 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 6
 
4.7%
영 3
 
2.4%
랑 3
 
2.4%
등 3
 
2.4%
동 3
 
2.4%
천 3
 
2.4%
리 2
 
1.6%
신 2
 
1.6%
밀 2
 
1.6%
무 2
 
1.6%
Other values (88) 98
77.2%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Punctuation
ValueCountFrequency (%)
! 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 127
92.7%
Common 10
 
7.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 6
 
4.7%
영 3
 
2.4%
랑 3
 
2.4%
등 3
 
2.4%
동 3
 
2.4%
천 3
 
2.4%
리 2
 
1.6%
신 2
 
1.6%
밀 2
 
1.6%
무 2
 
1.6%
Other values (88) 98
77.2%
Common
ValueCountFrequency (%)
9
90.0%
! 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 127
92.7%
ASCII 10
 
7.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9
90.0%
! 1
 
10.0%
Hangul
ValueCountFrequency (%)
산 6
 
4.7%
영 3
 
2.4%
랑 3
 
2.4%
등 3
 
2.4%
동 3
 
2.4%
천 3
 
2.4%
리 2
 
1.6%
신 2
 
1.6%
밀 2
 
1.6%
무 2
 
1.6%
Other values (88) 98
77.2%

통학버스 운영 여부
Categorical

Distinct3
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size520.0 B
Y
31 
N
17 
N
 
1

Length

Max length3
Median length1
Mean length1.0408163
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st rowN
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y 31
63.3%
N 17
34.7%
N 1
 
2.0%

Length

2024-03-15T07:49:37.665063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:49:38.005683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 31
63.3%
n 18
36.7%

운영주체
Categorical

Distinct14
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size520.0 B
개인
23 
비영리법인
13 
사회복지법인삼동회
 
2
사회복지법인구세군복지재단
 
1
(사)장애인사랑하는모임
 
1
Other values (9)
9 

Length

Max length13
Median length12
Mean length4.7959184
Min length2

Unique

Unique11 ?
Unique (%)22.4%

Sample

1st row개인
2nd row사회복지법인구세군복지재단
3rd row비영리법인
4th row(사)장애인사랑하는모임
5th row개인

Common Values

ValueCountFrequency (%)
개인 23
46.9%
비영리법인 13
26.5%
사회복지법인삼동회 2
 
4.1%
사회복지법인구세군복지재단 1
 
2.0%
(사)장애인사랑하는모임 1
 
2.0%
반석교회(개인) 1
 
2.0%
사회복지법인삼육재단 1
 
2.0%
샘솟는교회(개인) 1
 
2.0%
서강교회(개인) 1
 
2.0%
사회복지법인한기장복지재단 1
 
2.0%
Other values (4) 4
 
8.2%

Length

2024-03-15T07:49:38.379403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
개인 23
46.9%
비영리법인 13
26.5%
사회복지법인삼동회 2
 
4.1%
사회복지법인구세군복지재단 1
 
2.0%
사)장애인사랑하는모임 1
 
2.0%
반석교회(개인 1
 
2.0%
사회복지법인삼육재단 1
 
2.0%
샘솟는교회(개인 1
 
2.0%
서강교회(개인 1
 
2.0%
사회복지법인한기장복지재단 1
 
2.0%
Other values (4) 4
 
8.2%

종사자 수
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size520.0 B
2
41 
3
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row3

Common Values

ValueCountFrequency (%)
2 41
83.7%
3 8
 
16.3%

Length

2024-03-15T07:49:38.773471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:49:39.086992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 41
83.7%
3 8
 
16.3%

정원
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.367347
Minimum19
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size569.0 B
2024-03-15T07:49:39.396430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile19
Q119
median25
Q329
95-th percentile40
Maximum45
Range26
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.4768918
Coefficient of variation (CV)0.28356633
Kurtosis-0.17711837
Mean26.367347
Median Absolute Deviation (MAD)6
Skewness0.84483256
Sum1292
Variance55.903912
MonotonicityNot monotonic
2024-03-15T07:49:39.677715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
19 18
36.7%
29 13
26.5%
25 10
20.4%
40 6
 
12.2%
38 1
 
2.0%
45 1
 
2.0%
ValueCountFrequency (%)
19 18
36.7%
25 10
20.4%
29 13
26.5%
38 1
 
2.0%
40 6
 
12.2%
45 1
 
2.0%
ValueCountFrequency (%)
45 1
 
2.0%
40 6
 
12.2%
38 1
 
2.0%
29 13
26.5%
25 10
20.4%
19 18
36.7%

현원
Real number (ℝ)

HIGH CORRELATION 

Distinct19
Distinct (%)38.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.612245
Minimum13
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size569.0 B
2024-03-15T07:49:40.000651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile15
Q119
median23
Q328
95-th percentile39
Maximum41
Range28
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.9726141
Coefficient of variation (CV)0.29529653
Kurtosis0.37439246
Mean23.612245
Median Absolute Deviation (MAD)5
Skewness0.90447558
Sum1157
Variance48.617347
MonotonicityNot monotonic
2024-03-15T07:49:40.353640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
19 9
18.4%
25 8
16.3%
28 4
8.2%
18 4
8.2%
23 3
 
6.1%
17 3
 
6.1%
29 3
 
6.1%
39 2
 
4.1%
22 2
 
4.1%
15 2
 
4.1%
Other values (9) 9
18.4%
ValueCountFrequency (%)
13 1
 
2.0%
14 1
 
2.0%
15 2
 
4.1%
16 1
 
2.0%
17 3
 
6.1%
18 4
8.2%
19 9
18.4%
22 2
 
4.1%
23 3
 
6.1%
24 1
 
2.0%
ValueCountFrequency (%)
41 1
 
2.0%
40 1
 
2.0%
39 2
 
4.1%
35 1
 
2.0%
34 1
 
2.0%
29 3
 
6.1%
28 4
8.2%
26 1
 
2.0%
25 8
16.3%
24 1
 
2.0%

도로명 주소
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size520.0 B
2024-03-15T07:49:41.455162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length36
Mean length29.816327
Min length21

Characters and Unicode

Total characters1461
Distinct characters110
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)100.0%

Sample

1st row전북특별자치도 익산시 익산대로 214(2층,남중동), 2층
2nd row전북특별자치도 익산시 동서로17길10-18(남중동)
3rd row전북특별자치도 익산시 평동로 13길 7-3(인화동)
4th row전북특별자치도 익산시 고봉로14길 9(영등동), 1층
5th row전북특별자치도 익산시 부송로8길8-1(부송동), 1,2층
ValueCountFrequency (%)
전북특별자치도 49
21.7%
익산시 49
21.7%
2층 14
 
6.2%
1층 4
 
1.8%
인북로 3
 
1.3%
선화로 3
 
1.3%
함열읍 3
 
1.3%
평동로 2
 
0.9%
왕궁면 2
 
0.9%
춘포면 2
 
0.9%
Other values (94) 95
42.0%
2024-03-15T07:49:42.939276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
178
 
12.2%
1 64
 
4.4%
동 61
 
4.2%
산 61
 
4.2%
2 55
 
3.8%
북 53
 
3.6%
익 51
 
3.5%
시 49
 
3.4%
전 49
 
3.4%
도 49
 
3.4%
Other values (100) 791
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 895
61.3%
Decimal Number 248
 
17.0%
Space Separator 178
 
12.2%
Close Punctuation 41
 
2.8%
Open Punctuation 41
 
2.8%
Other Punctuation 41
 
2.8%
Dash Punctuation 15
 
1.0%
Math Symbol 1
 
0.1%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 61
 
6.8%
산 61
 
6.8%
북 53
 
5.9%
익 51
 
5.7%
시 49
 
5.5%
전 49
 
5.5%
도 49
 
5.5%
특 49
 
5.5%
자 49
 
5.5%
별 49
 
5.5%
Other values (80) 375
41.9%
Decimal Number
ValueCountFrequency (%)
1 64
25.8%
2 55
22.2%
3 28
11.3%
4 24
 
9.7%
0 19
 
7.7%
5 16
 
6.5%
6 13
 
5.2%
8 12
 
4.8%
9 10
 
4.0%
7 7
 
2.8%
Other Punctuation
ValueCountFrequency (%)
, 38
92.7%
@ 1
 
2.4%
. 1
 
2.4%
/ 1
 
2.4%
Space Separator
ValueCountFrequency (%)
178
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 895
61.3%
Common 566
38.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 61
 
6.8%
산 61
 
6.8%
북 53
 
5.9%
익 51
 
5.7%
시 49
 
5.5%
전 49
 
5.5%
도 49
 
5.5%
특 49
 
5.5%
자 49
 
5.5%
별 49
 
5.5%
Other values (80) 375
41.9%
Common
ValueCountFrequency (%)
178
31.4%
1 64
 
11.3%
2 55
 
9.7%
) 41
 
7.2%
( 41
 
7.2%
, 38
 
6.7%
3 28
 
4.9%
4 24
 
4.2%
0 19
 
3.4%
5 16
 
2.8%
Other values (10) 62
 
11.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 895
61.3%
ASCII 565
38.7%
CJK Compat 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
178
31.5%
1 64
 
11.3%
2 55
 
9.7%
) 41
 
7.3%
( 41
 
7.3%
, 38
 
6.7%
3 28
 
5.0%
4 24
 
4.2%
0 19
 
3.4%
5 16
 
2.8%
Other values (9) 61
 
10.8%
Hangul
ValueCountFrequency (%)
동 61
 
6.8%
산 61
 
6.8%
북 53
 
5.9%
익 51
 
5.7%
시 49
 
5.5%
전 49
 
5.5%
도 49
 
5.5%
특 49
 
5.5%
자 49
 
5.5%
별 49
 
5.5%
Other values (80) 375
41.9%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

전화번호
Text

MISSING 

Distinct48
Distinct (%)100.0%
Missing1
Missing (%)2.0%
Memory size520.0 B
2024-03-15T07:49:43.831488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.020833
Min length12

Characters and Unicode

Total characters577
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row063-915-6223
2nd row063-855-0917
3rd row063-851-3201
4th row063-857-7412
5th row063-836-2505
ValueCountFrequency (%)
063-915-6223 1
 
2.0%
063-291-0583 1
 
2.0%
063-843-9004 1
 
2.0%
063-852-3532 1
 
2.0%
063-915-9907 1
 
2.0%
063-915-4453 1
 
2.0%
063-855-3599 1
 
2.0%
063-854-1318 1
 
2.0%
063-854-6324 1
 
2.0%
063-291-9368 1
 
2.0%
Other values (39) 39
79.6%
2024-03-15T07:49:44.959486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 96
16.6%
3 89
15.4%
0 76
13.2%
8 65
11.3%
6 62
10.7%
5 50
8.7%
1 34
 
5.9%
2 32
 
5.5%
4 30
 
5.2%
9 26
 
4.5%
Other values (2) 17
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 480
83.2%
Dash Punctuation 96
 
16.6%
Space Separator 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 89
18.5%
0 76
15.8%
8 65
13.5%
6 62
12.9%
5 50
10.4%
1 34
 
7.1%
2 32
 
6.7%
4 30
 
6.2%
9 26
 
5.4%
7 16
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 577
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 96
16.6%
3 89
15.4%
0 76
13.2%
8 65
11.3%
6 62
10.7%
5 50
8.7%
1 34
 
5.9%
2 32
 
5.5%
4 30
 
5.2%
9 26
 
4.5%
Other values (2) 17
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 577
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 96
16.6%
3 89
15.4%
0 76
13.2%
8 65
11.3%
6 62
10.7%
5 50
8.7%
1 34
 
5.9%
2 32
 
5.5%
4 30
 
5.2%
9 26
 
4.5%
Other values (2) 17
 
2.9%

홈페이지 주소
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size520.0 B
2024-03-15T07:49:45.775966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length31
Mean length25.77551
Min length13

Characters and Unicode

Total characters1263
Distinct characters61
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

Unique49 ?
Unique (%)100.0%

Sample

1st rowhttps://www.ion.or.kr/ gaonchildren
2nd rowhttps://www.ion.or.kr/salvation
3rd rowhttps://www.ion.or.kr/kkumkkuneun
4th rowhttps://www.ion.or.kr/NAMJUNG
5th rowwww.ion.or.kr/NGS2505
ValueCountFrequency (%)
https://www.ion.or.kr 1
 
2.0%
제일지역아동센터 1
 
2.0%
http://blog.daum.net/churicare 1
 
2.0%
www.ion.or.kr/youngjae 1
 
2.0%
www.ion.or.kr/yccfamily/content/intro 1
 
2.0%
www.hjy.kr/yson69 1
 
2.0%
www.ion.or.kr/rhkr1203 1
 
2.0%
https://www.ion.or.kr/okya 1
 
2.0%
www.ion.or.kr/wrch9182 1
 
2.0%
http://cafe.daum.net/sbsoon 1
 
2.0%
Other values (41) 41
80.4%
2024-03-15T07:49:46.818719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 129
 
10.2%
w 125
 
9.9%
/ 100
 
7.9%
r 91
 
7.2%
o 89
 
7.0%
n 70
 
5.5%
t 63
 
5.0%
k 54
 
4.3%
h 48
 
3.8%
i 44
 
3.5%
Other values (51) 450
35.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 891
70.5%
Other Punctuation 252
 
20.0%
Decimal Number 86
 
6.8%
Uppercase Letter 19
 
1.5%
Other Letter 12
 
1.0%
Space Separator 3
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 125
14.0%
r 91
10.2%
o 89
 
10.0%
n 70
 
7.9%
t 63
 
7.1%
k 54
 
6.1%
h 48
 
5.4%
i 44
 
4.9%
a 44
 
4.9%
s 40
 
4.5%
Other values (13) 223
25.0%
Uppercase Letter
ValueCountFrequency (%)
O 3
15.8%
N 3
15.8%
G 2
10.5%
C 2
10.5%
S 2
10.5%
F 1
 
5.3%
Y 1
 
5.3%
R 1
 
5.3%
A 1
 
5.3%
M 1
 
5.3%
Other values (2) 2
10.5%
Other Letter
ValueCountFrequency (%)
제 1
8.3%
평 1
8.3%
터 1
8.3%
센 1
8.3%
동 1
8.3%
아 1
8.3%
역 1
8.3%
지 1
8.3%
일 1
8.3%
산 1
8.3%
Other values (2) 2
16.7%
Decimal Number
ValueCountFrequency (%)
2 17
19.8%
1 13
15.1%
0 12
14.0%
8 8
9.3%
9 8
9.3%
4 7
8.1%
5 7
8.1%
6 7
8.1%
7 5
 
5.8%
3 2
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 129
51.2%
/ 100
39.7%
: 23
 
9.1%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 910
72.1%
Common 341
 
27.0%
Hangul 12
 
1.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 125
13.7%
r 91
 
10.0%
o 89
 
9.8%
n 70
 
7.7%
t 63
 
6.9%
k 54
 
5.9%
h 48
 
5.3%
i 44
 
4.8%
a 44
 
4.8%
s 40
 
4.4%
Other values (25) 242
26.6%
Common
ValueCountFrequency (%)
. 129
37.8%
/ 100
29.3%
: 23
 
6.7%
2 17
 
5.0%
1 13
 
3.8%
0 12
 
3.5%
8 8
 
2.3%
9 8
 
2.3%
4 7
 
2.1%
5 7
 
2.1%
Other values (4) 17
 
5.0%
Hangul
ValueCountFrequency (%)
제 1
8.3%
평 1
8.3%
터 1
8.3%
센 1
8.3%
동 1
8.3%
아 1
8.3%
역 1
8.3%
지 1
8.3%
일 1
8.3%
산 1
8.3%
Other values (2) 2
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1251
99.0%
Hangul 12
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 129
 
10.3%
w 125
 
10.0%
/ 100
 
8.0%
r 91
 
7.3%
o 89
 
7.1%
n 70
 
5.6%
t 63
 
5.0%
k 54
 
4.3%
h 48
 
3.8%
i 44
 
3.5%
Other values (39) 438
35.0%
Hangul
ValueCountFrequency (%)
제 1
8.3%
평 1
8.3%
터 1
8.3%
센 1
8.3%
동 1
8.3%
아 1
8.3%
역 1
8.3%
지 1
8.3%
일 1
8.3%
산 1
8.3%
Other values (2) 2
16.7%

설치신고일
Date

Distinct43
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Memory size520.0 B
Minimum2004-11-12 00:00:00
Maximum2023-01-01 00:00:00
2024-03-15T07:49:47.061886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T07:49:47.296214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)

Interactions

2024-03-15T07:49:34.196744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T07:49:33.907087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T07:49:34.337781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T07:49:34.047254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T07:49:47.517807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명통학버스 운영 여부운영주체종사자 수정원현원도로명 주소전화번호홈페이지 주소설치신고일
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
통학버스 운영 여부1.0001.0000.0000.0580.0000.0001.0001.0001.0000.916
운영주체1.0000.0001.0000.0000.0000.3581.0001.0001.0001.000
종사자 수1.0000.0580.0001.0001.0000.9771.0001.0001.0000.795
정원1.0000.0000.0001.0001.0000.8011.0001.0001.0000.920
현원1.0000.0000.3580.9770.8011.0001.0001.0001.0000.928
도로명 주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
홈페이지 주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
설치신고일1.0000.9161.0000.7950.9200.9281.0001.0001.0001.000
2024-03-15T07:49:47.947016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
통학버스 운영 여부운영주체종사자 수
통학버스 운영 여부1.0000.0000.091
운영주체0.0001.0000.000
종사자 수0.0910.0001.000
2024-03-15T07:49:48.105101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정원현원통학버스 운영 여부운영주체종사자 수
정원1.0000.8490.0000.0000.957
현원0.8491.0000.0000.1310.809
통학버스 운영 여부0.0000.0001.0000.0000.091
운영주체0.0000.1310.0001.0000.000
종사자 수0.9570.8090.0910.0001.000

Missing values

2024-03-15T07:49:34.534323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T07:49:35.005670image/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

시설명통학버스 운영 여부운영주체종사자 수정원현원도로명 주소전화번호홈페이지 주소설치신고일
0가온N개인22523전북특별자치도 익산시 익산대로 214(2층,남중동), 2층063-915-6223https://www.ion.or.kr/ gaonchildren2009-08-03
1구세군배산Y사회복지법인구세군복지재단22523전북특별자치도 익산시 동서로17길10-18(남중동)063-855-0917https://www.ion.or.kr/salvation2004-11-12
2꿈꾸는Y비영리법인22925전북특별자치도 익산시 평동로 13길 7-3(인화동)063-851-3201https://www.ion.or.kr/kkumkkuneun2022-01-01
3남중Y(사)장애인사랑하는모임22928전북특별자치도 익산시 고봉로14길 9(영등동), 1층063-857-7412https://www.ion.or.kr/NAMJUNG2006-07-10
4늘감사Y개인34028전북특별자치도 익산시 부송로8길8-1(부송동), 1,2층063-836-2505www.ion.or.kr/NGS25052008-02-28
5더조은N비영리법인21918전북특별자치도 익산시 서동로21길 13, 2층(마동), 2층063-837-0470http://www.hjy.kr/samgi08652021-04-01
6동산Y개인22925전북특별자치도 익산시 동천로 9길 7(동산동)063-841-0955http://cafe.daum.net/84109552009-12-31
7든든한N개인22925전북특별자치도 익산시 동서로61길27-15(어양동) 2층063-838-3581www.ion.or.kr/rainbowtree2010-09-24
8등대Y개인21919전북특별자치도 익산시 군익로508-10(송학동)063-855-9101www.ion.or.kr/lighthouse2015-12-02
9똘레랑스Y개인34034전북특별자치도 익산시 서동로24길40(동산동)063-853-3357http://www.tolerance79.com/2006-03-30
시설명통학버스 운영 여부운영주체종사자 수정원현원도로명 주소전화번호홈페이지 주소설치신고일
39천광N천광교회(개인)22926전북특별자치도 익산시 동서로51길53, 우남 103동 202-1호(영등동)063-833-9180www.hjy.kr/ckck91802007-06-26
40춘포Y비영리법인22929전북특별자치도 익산시 춘포면 춘포로 355063-842-3812www.hjy.kr/chunpo2020-06-17
41패밀리N개인21918전북특별자치도 익산시 선화로 222-3(2층, 남중동), 2층063-832-8430www.ion.or.kr/27642/sponsor/thanks/list/12009-11-23
42평화디딤돌N비영리법인22524전북특별자치도 익산시 선화로 188(남중동)063-852-8347http://www.hjy.kr/평화2020-04-01
43푸른교실N개인22919전북특별자치도 익산시 배산로24길61(모현동1가),3층063-854-8663https://m.cafe.daum.net/iksanblueclass2011-02-23
44하랑Y개인33829전북특별자치도 익산시 고현로14-1(송학동)<NA>www.ion.or.kr/harang20202011-06-20
45한사랑Y개인21918전북특별자치도 익산시 고현로 14길14, 상가동 201호(모현동)063-855-1009www.hjy.kr/hsr10092016-06-30
46함열어깨동무Y개인21917전북특별자치도 익산시 함열읍 동지상길 12-13063-862-7409www.ion.or.kr/okedongmu2007-07-21
47해밀N비영리법인22525전북특별자치도 익산시 서동로12길13(동산동, 지하층, 2층 일부(23.1㎡), 3층)063-854-1052http://www.hjy.kr/ksdragon722023-01-01
48희망나눔Y비영리법인34541전북특별자치도 익산시 동서로5길116(신동),3층063-852-1261http://cafe.daum.net/sharingourhope2022-04-01