Overview

Dataset statistics

Number of variables10
Number of observations171
Missing cells34
Missing cells (%)2.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.8 KiB
Average record size in memory82.8 B

Variable types

Text5
Numeric2
Categorical2
DateTime1

Dataset

Description경상남도 양산시 지역 사회 서비스 투자사업 제공 기관 현황에 대한 데이터로 제공기관명, 대표자, 주소, 사업유형, 연락처 등의 항목을 제공합니다.
Author경상남도 양산시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15074116

Alerts

출처 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
연락처 has 7 (4.1%) missing valuesMissing
지정일자 has 27 (15.8%) missing valuesMissing

Reproduction

Analysis started2023-12-10 23:08:23.176944
Analysis finished2023-12-10 23:08:24.335974
Duration1.16 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

제공기관명
Text

Distinct60
Distinct (%)35.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T08:08:24.496415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length9.3684211
Min length2

Characters and Unicode

Total characters1602
Distinct characters182
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)7.6%

Sample

1st row(재)한국레저스포츠 문화재단양산지부
2nd row(재)한국레저스포츠 문화재단양산지부
3rd row(주)연세건강코칭
4th row(주)지엔씨
5th row(주)지엔씨
ValueCountFrequency (%)
더흄심리상담센터 8
 
3.8%
비전플러스 6
 
2.9%
꿈따움언어심리발달센터 6
 
2.9%
언어·인지학습센터 5
 
2.4%
발달센터 5
 
2.4%
가원아동청소년 5
 
2.4%
아띠아동가족발달센터 5
 
2.4%
킴즈포레이효권플롯스튜디오 5
 
2.4%
브레인웍스 5
 
2.4%
옥스포드en 5
 
2.4%
Other values (61) 153
73.6%
2023-12-11T08:08:24.833421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 82
 
5.1%
터 77
 
4.8%
아 61
 
3.8%
리 56
 
3.5%
발 53
 
3.3%
심 47
 
2.9%
달 45
 
2.8%
어 41
 
2.6%
스 39
 
2.4%
언 39
 
2.4%
Other values (172) 1062
66.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1523
95.1%
Space Separator 37
 
2.3%
Uppercase Letter 18
 
1.1%
Other Punctuation 12
 
0.7%
Close Punctuation 5
 
0.3%
Open Punctuation 5
 
0.3%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 82
 
5.4%
터 77
 
5.1%
아 61
 
4.0%
리 56
 
3.7%
발 53
 
3.5%
심 47
 
3.1%
달 45
 
3.0%
어 41
 
2.7%
스 39
 
2.6%
언 39
 
2.6%
Other values (159) 983
64.5%
Uppercase Letter
ValueCountFrequency (%)
E 5
27.8%
N 5
27.8%
Y 2
 
11.1%
M 2
 
11.1%
C 2
 
11.1%
A 2
 
11.1%
Other Punctuation
ValueCountFrequency (%)
. 5
41.7%
· 5
41.7%
& 2
 
16.7%
Space Separator
ValueCountFrequency (%)
37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Decimal Number
ValueCountFrequency (%)
9 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1523
95.1%
Common 61
 
3.8%
Latin 18
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 82
 
5.4%
터 77
 
5.1%
아 61
 
4.0%
리 56
 
3.7%
발 53
 
3.5%
심 47
 
3.1%
달 45
 
3.0%
어 41
 
2.7%
스 39
 
2.6%
언 39
 
2.6%
Other values (159) 983
64.5%
Common
ValueCountFrequency (%)
37
60.7%
) 5
 
8.2%
( 5
 
8.2%
. 5
 
8.2%
· 5
 
8.2%
9 2
 
3.3%
& 2
 
3.3%
Latin
ValueCountFrequency (%)
E 5
27.8%
N 5
27.8%
Y 2
 
11.1%
M 2
 
11.1%
C 2
 
11.1%
A 2
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1523
95.1%
ASCII 74
 
4.6%
None 5
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 82
 
5.4%
터 77
 
5.1%
아 61
 
4.0%
리 56
 
3.7%
발 53
 
3.5%
심 47
 
3.1%
달 45
 
3.0%
어 41
 
2.7%
스 39
 
2.6%
언 39
 
2.6%
Other values (159) 983
64.5%
ASCII
ValueCountFrequency (%)
37
50.0%
) 5
 
6.8%
( 5
 
6.8%
. 5
 
6.8%
E 5
 
6.8%
N 5
 
6.8%
9 2
 
2.7%
& 2
 
2.7%
Y 2
 
2.7%
M 2
 
2.7%
Other values (2) 4
 
5.4%
None
ValueCountFrequency (%)
· 5
100.0%

대표자
Text

Distinct60
Distinct (%)35.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T08:08:25.063653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters513
Distinct characters79
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)7.6%

Sample

1st row박현종
2nd row박현종
3rd row고미종
4th row김칠연
5th row김칠연
ValueCountFrequency (%)
허혜정 8
 
4.7%
천석호 6
 
3.5%
진성아 6
 
3.5%
이창열 5
 
2.9%
김경미 5
 
2.9%
이현정 5
 
2.9%
최희승 5
 
2.9%
이경미 5
 
2.9%
김인수 5
 
2.9%
한영순 5
 
2.9%
Other values (50) 116
67.8%
2023-12-11T08:08:25.400310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 46
 
9.0%
정 28
 
5.5%
김 24
 
4.7%
희 19
 
3.7%
경 19
 
3.7%
박 19
 
3.7%
혜 19
 
3.7%
진 18
 
3.5%
영 14
 
2.7%
성 13
 
2.5%
Other values (69) 294
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 513
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 46
 
9.0%
정 28
 
5.5%
김 24
 
4.7%
희 19
 
3.7%
경 19
 
3.7%
박 19
 
3.7%
혜 19
 
3.7%
진 18
 
3.5%
영 14
 
2.7%
성 13
 
2.5%
Other values (69) 294
57.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 513
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 46
 
9.0%
정 28
 
5.5%
김 24
 
4.7%
희 19
 
3.7%
경 19
 
3.7%
박 19
 
3.7%
혜 19
 
3.7%
진 18
 
3.5%
영 14
 
2.7%
성 13
 
2.5%
Other values (69) 294
57.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 513
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 46
 
9.0%
정 28
 
5.5%
김 24
 
4.7%
희 19
 
3.7%
경 19
 
3.7%
박 19
 
3.7%
혜 19
 
3.7%
진 18
 
3.5%
영 14
 
2.7%
성 13
 
2.5%
Other values (69) 294
57.3%

도로명주소
Text

Distinct57
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T08:08:25.639209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length18.415205
Min length14

Characters and Unicode

Total characters3149
Distinct characters67
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)6.4%

Sample

1st row경상남도 양산시 동면 강변로 264-1
2nd row경상남도 양산시 동면 강변로 264-1
3rd row경상남도 양산시 양주로 46
4th row경상남도 양산시 물금읍 황산로 609
5th row경상남도 양산시 물금읍 황산로 609
ValueCountFrequency (%)
양산시 181
23.1%
경상남도 171
21.8%
물금읍 72
 
9.2%
동면 17
 
2.2%
양주3길 12
 
1.5%
범구로 11
 
1.4%
54 10
 
1.3%
17 10
 
1.3%
청운로 9
 
1.1%
증산역로 8
 
1.0%
Other values (87) 282
36.0%
2023-12-11T08:08:26.001195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
622
19.8%
양 209
 
6.6%
산 209
 
6.6%
시 181
 
5.7%
남 173
 
5.5%
경 171
 
5.4%
상 171
 
5.4%
도 171
 
5.4%
1 120
 
3.8%
로 101
 
3.2%
Other values (57) 1021
32.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2020
64.1%
Space Separator 622
 
19.8%
Decimal Number 474
 
15.1%
Dash Punctuation 33
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 209
10.3%
산 209
10.3%
시 181
 
9.0%
남 173
 
8.6%
경 171
 
8.5%
상 171
 
8.5%
도 171
 
8.5%
로 101
 
5.0%
금 87
 
4.3%
물 76
 
3.8%
Other values (45) 471
23.3%
Decimal Number
ValueCountFrequency (%)
1 120
25.3%
3 64
13.5%
4 58
12.2%
6 52
11.0%
5 43
 
9.1%
2 33
 
7.0%
9 32
 
6.8%
8 31
 
6.5%
7 28
 
5.9%
0 13
 
2.7%
Space Separator
ValueCountFrequency (%)
622
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2020
64.1%
Common 1129
35.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 209
10.3%
산 209
10.3%
시 181
 
9.0%
남 173
 
8.6%
경 171
 
8.5%
상 171
 
8.5%
도 171
 
8.5%
로 101
 
5.0%
금 87
 
4.3%
물 76
 
3.8%
Other values (45) 471
23.3%
Common
ValueCountFrequency (%)
622
55.1%
1 120
 
10.6%
3 64
 
5.7%
4 58
 
5.1%
6 52
 
4.6%
5 43
 
3.8%
- 33
 
2.9%
2 33
 
2.9%
9 32
 
2.8%
8 31
 
2.7%
Other values (2) 41
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2020
64.1%
ASCII 1129
35.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
622
55.1%
1 120
 
10.6%
3 64
 
5.7%
4 58
 
5.1%
6 52
 
4.6%
5 43
 
3.8%
- 33
 
2.9%
2 33
 
2.9%
9 32
 
2.8%
8 31
 
2.7%
Other values (2) 41
 
3.6%
Hangul
ValueCountFrequency (%)
양 209
10.3%
산 209
10.3%
시 181
 
9.0%
남 173
 
8.6%
경 171
 
8.5%
상 171
 
8.5%
도 171
 
8.5%
로 101
 
5.0%
금 87
 
4.3%
물 76
 
3.8%
Other values (45) 471
23.3%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct59
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.342421
Minimum35.306972
Maximum35.415845
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T08:08:26.133086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.306972
5-th percentile35.309886
Q135.316564
median35.331719
Q335.372845
95-th percentile35.403706
Maximum35.415845
Range0.10887328
Interquartile range (IQR)0.0562813

Descriptive statistics

Standard deviation0.030940589
Coefficient of variation (CV)0.00087545188
Kurtosis-0.37261948
Mean35.342421
Median Absolute Deviation (MAD)0.01533844
Skewness0.91279733
Sum6043.554
Variance0.00095732004
MonotonicityNot monotonic
2023-12-11T08:08:26.263330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.32786827 8
 
4.7%
35.340627 6
 
3.5%
35.40370552 6
 
3.5%
35.38094416 5
 
2.9%
35.34170813 5
 
2.9%
35.33210418 5
 
2.9%
35.33139552 5
 
2.9%
35.310665 5
 
2.9%
35.37579743 5
 
2.9%
35.3849961 5
 
2.9%
Other values (49) 116
67.8%
ValueCountFrequency (%)
35.30697219 1
 
0.6%
35.3078398 2
 
1.2%
35.30850927 2
 
1.2%
35.30988146 2
 
1.2%
35.30988589 3
1.8%
35.31035324 3
1.8%
35.310649 2
 
1.2%
35.310665 5
2.9%
35.31112314 5
2.9%
35.3118187 2
 
1.2%
ValueCountFrequency (%)
35.41584547 5
2.9%
35.40777275 2
 
1.2%
35.40370552 6
3.5%
35.396594 4
2.3%
35.3849961 5
2.9%
35.38393014 2
 
1.2%
35.38279877 3
1.8%
35.38134087 2
 
1.2%
35.38094416 5
2.9%
35.37579743 5
2.9%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct59
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.05211
Minimum128.98698
Maximum129.172
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T08:08:26.408945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.98698
5-th percentile128.99465
Q1129.00678
median129.02762
Q3129.09386
95-th percentile129.16925
Maximum129.172
Range0.18502
Interquartile range (IQR)0.0870794

Descriptive statistics

Standard deviation0.062841846
Coefficient of variation (CV)0.00048694938
Kurtosis-0.69229701
Mean129.05211
Median Absolute Deviation (MAD)0.0208338
Skewness1.0415025
Sum22067.911
Variance0.0039490975
MonotonicityNot monotonic
2023-12-11T08:08:26.544737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.0137366 8
 
4.7%
129.032832 6
 
3.5%
129.169251 6
 
3.5%
129.1522562 5
 
2.9%
129.0370089 5
 
2.9%
129.0196525 5
 
2.9%
129.0282661 5
 
2.9%
128.999144 5
 
2.9%
129.1524566 5
 
2.9%
129.1463463 5
 
2.9%
Other values (49) 116
67.8%
ValueCountFrequency (%)
128.9869849 2
 
1.2%
128.987486 2
 
1.2%
128.9884686 1
 
0.6%
128.9904392 2
 
1.2%
128.994221 2
 
1.2%
128.995071 1
 
0.6%
128.9979885 3
1.8%
128.999144 5
2.9%
129.0013825 2
 
1.2%
129.0024331 1
 
0.6%
ValueCountFrequency (%)
129.1720049 5
2.9%
129.169251 6
3.5%
129.166045 4
2.3%
129.1650951 2
 
1.2%
129.1559451 1
 
0.6%
129.1529647 2
 
1.2%
129.1524566 5
2.9%
129.1522562 5
2.9%
129.1509916 3
1.8%
129.1502791 2
 
1.2%

사업유형
Categorical

Distinct27
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
아동청소년심리지원서비스
40 
영유아발달지원서비스
39 
아동·청소년비전형성지원서비스
25 
정신건강토탈케어서비스
11 
아동·노인연극교육서비스
10 
Other values (22)
46 

Length

Max length22
Median length21
Mean length12.725146
Min length10

Unique

Unique13 ?
Unique (%)7.6%

Sample

1st row맞춤형 헬스케어서비스사업
2nd row찾아가는 건강운동 서비스
3rd row맞춤형 헬스케어서비스사업
4th row아동·청소년비전형성지원서비스
5th row아동·노인 연극교육서비스

Common Values

ValueCountFrequency (%)
아동청소년심리지원서비스 40
23.4%
영유아발달지원서비스 39
22.8%
아동·청소년비전형성지원서비스 25
14.6%
정신건강토탈케어서비스 11
 
6.4%
아동·노인연극교육서비스 10
 
5.8%
아동·노인 연극교육서비스 10
 
5.8%
임신, 육아, 출산 부모 교육서비스 5
 
2.9%
인터넷 과몰입 아동·청소년치유서비스 4
 
2.3%
맞춤형 헬스케어서비스사업 3
 
1.8%
시각장애인안마서비스 3
 
1.8%
Other values (17) 21
12.3%

Length

2023-12-11T08:08:26.675419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
아동청소년심리지원서비스 40
16.8%
영유아발달지원서비스 39
16.4%
아동·청소년비전형성지원서비스 25
 
10.5%
정신건강토탈케어서비스 11
 
4.6%
아동·노인 11
 
4.6%
연극교육서비스 11
 
4.6%
아동·노인연극교육서비스 10
 
4.2%
인터넷 9
 
3.8%
맞춤형 7
 
2.9%
과몰입 7
 
2.9%
Other values (24) 68
28.6%

연락처
Text

MISSING 

Distinct58
Distinct (%)35.4%
Missing7
Missing (%)4.1%
Memory size1.5 KiB
2023-12-11T08:08:26.868336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.146341
Min length12

Characters and Unicode

Total characters1992
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

Unique13 ?
Unique (%)7.9%

Sample

1st row070-4274-8668
2nd row070-4274-8668
3rd row055-365-0275
4th row055-365-0275
5th row070-8285-5123
ValueCountFrequency (%)
055-362-4424 8
 
4.9%
055-388-8096 6
 
3.7%
070-4007-9730 6
 
3.7%
055-362-0430 5
 
3.0%
055-387-1117 5
 
3.0%
055-388-2779 5
 
3.0%
070-8285-5123 5
 
3.0%
055-383-1007 5
 
3.0%
055-366-1559 5
 
3.0%
055-387-7926 5
 
3.0%
Other values (48) 109
66.5%
2023-12-11T08:08:27.211730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 379
19.0%
- 328
16.5%
0 292
14.7%
3 208
10.4%
8 142
 
7.1%
7 136
 
6.8%
6 119
 
6.0%
9 109
 
5.5%
2 108
 
5.4%
1 88
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1664
83.5%
Dash Punctuation 328
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 379
22.8%
0 292
17.5%
3 208
12.5%
8 142
 
8.5%
7 136
 
8.2%
6 119
 
7.2%
9 109
 
6.6%
2 108
 
6.5%
1 88
 
5.3%
4 83
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 328
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1992
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 379
19.0%
- 328
16.5%
0 292
14.7%
3 208
10.4%
8 142
 
7.1%
7 136
 
6.8%
6 119
 
6.0%
9 109
 
5.5%
2 108
 
5.4%
1 88
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1992
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 379
19.0%
- 328
16.5%
0 292
14.7%
3 208
10.4%
8 142
 
7.1%
7 136
 
6.8%
6 119
 
6.0%
9 109
 
5.5%
2 108
 
5.4%
1 88
 
4.4%

지정일자
Text

MISSING 

Distinct91
Distinct (%)63.2%
Missing27
Missing (%)15.8%
Memory size1.5 KiB
2023-12-11T08:08:27.470936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1440
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

Unique56 ?
Unique (%)38.9%

Sample

1st row2012-10-15
2nd row2018-04-27
3rd row2015-01-20
4th row2015-01-07
5th row2020-01-10
ValueCountFrequency (%)
2020-03-23 5
 
3.5%
2015-11-13 4
 
2.8%
2014-03-06 4
 
2.8%
2015-10-12 4
 
2.8%
2017-04-13 4
 
2.8%
2019-12-27 3
 
2.1%
2020-01-21 3
 
2.1%
2019-11-07 3
 
2.1%
2020-01-20 3
 
2.1%
2018-01-19 3
 
2.1%
Other values (81) 108
75.0%
2023-12-11T08:08:27.858206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 328
22.8%
- 288
20.0%
1 281
19.5%
2 277
19.2%
3 54
 
3.8%
7 45
 
3.1%
4 40
 
2.8%
6 35
 
2.4%
9 34
 
2.4%
5 32
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1152
80.0%
Dash Punctuation 288
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 328
28.5%
1 281
24.4%
2 277
24.0%
3 54
 
4.7%
7 45
 
3.9%
4 40
 
3.5%
6 35
 
3.0%
9 34
 
3.0%
5 32
 
2.8%
8 26
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 288
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1440
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 328
22.8%
- 288
20.0%
1 281
19.5%
2 277
19.2%
3 54
 
3.8%
7 45
 
3.1%
4 40
 
2.8%
6 35
 
2.4%
9 34
 
2.4%
5 32
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1440
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 328
22.8%
- 288
20.0%
1 281
19.5%
2 277
19.2%
3 54
 
3.8%
7 45
 
3.1%
4 40
 
2.8%
6 35
 
2.4%
9 34
 
2.4%
5 32
 
2.2%

출처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
기본현황
171 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기본현황 171
100.0%

Length

2023-12-11T08:08:27.982774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:08:28.070626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기본현황 171
100.0%

데이터기준일자
Date

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2020-06-30 00:00:00
Maximum2021-08-02 00:00:00
2023-12-11T08:08:28.135237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:08:28.211336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

Interactions

2023-12-11T08:08:23.838484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:08:23.695415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:08:23.917591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:08:23.763003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:08:28.280969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제공기관명대표자도로명주소위도경도사업유형연락처지정일자데이터기준일자
제공기관명1.0001.0001.0001.0001.0000.4871.0000.9990.993
대표자1.0001.0001.0001.0001.0000.4871.0000.9990.993
도로명주소1.0001.0001.0001.0001.0000.0001.0000.9990.944
위도1.0001.0001.0001.0000.8580.0001.0000.9940.368
경도1.0001.0001.0000.8581.0000.0741.0000.9900.000
사업유형0.4870.4870.0000.0000.0741.0000.2490.8990.000
연락처1.0001.0001.0001.0001.0000.2491.0000.9990.992
지정일자0.9990.9990.9990.9940.9900.8990.9991.0000.972
데이터기준일자0.9930.9930.9440.3680.0000.0000.9920.9721.000
2023-12-11T08:08:28.385684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도사업유형
위도1.0000.8800.000
경도0.8801.0000.000
사업유형0.0000.0001.000

Missing values

2023-12-11T08:08:24.030437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:08:24.186375image/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.
2023-12-11T08:08:24.292172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

제공기관명대표자도로명주소위도경도사업유형연락처지정일자출처데이터기준일자
0(재)한국레저스포츠 문화재단양산지부박현종경상남도 양산시 동면 강변로 264-135.32783129.0276맞춤형 헬스케어서비스사업070-4274-86682012-10-15기본현황2021-08-02
1(재)한국레저스포츠 문화재단양산지부박현종경상남도 양산시 동면 강변로 264-135.32783129.0276찾아가는 건강운동 서비스070-4274-86682018-04-27기본현황2021-08-02
2(주)연세건강코칭고미종경상남도 양산시 양주로 4635.331396129.028266맞춤형 헬스케어서비스사업<NA>2015-01-20기본현황2020-06-30
3(주)지엔씨김칠연경상남도 양산시 물금읍 황산로 60935.326796129.001383아동·청소년비전형성지원서비스055-365-02752015-01-07기본현황2021-08-02
4(주)지엔씨김칠연경상남도 양산시 물금읍 황산로 60935.326796129.001383아동·노인 연극교육서비스055-365-02752020-01-10기본현황2021-08-02
5가원아동청소년 발달센터정지운경상남도 양산시 서창로 183-135.415845129.172005아동·청소년비전형성지원서비스070-8285-51232018-01-19기본현황2020-06-30
6가원아동청소년 발달센터정지운경상남도 양산시 서창로 183-135.415845129.172005아동청소년심리지원서비스070-8285-51232018-01-19기본현황2020-06-30
7가원아동청소년 발달센터정지운경상남도 양산시 서창로 183-135.415845129.172005영유아발달지원서비스070-8285-51232018-01-19기본현황2020-06-30
8가원아동청소년 발달센터정지운경상남도 양산시 서창로 183-135.415845129.172005정신건강토탈케어서비스070-8285-51232018-02-23기본현황2020-06-30
9가원아동청소년 발달센터정지운경상남도 양산시 서창로 183-135.415845129.172005인터넷 과몰입 아동·청소년치유서비스070-8285-51232018-02-23기본현황2020-06-30
제공기관명대표자도로명주소위도경도사업유형연락처지정일자출처데이터기준일자
161킴즈포레이효권플롯스튜디오이효권경상남도 양산시 물금읍 야리로 11835.311123129.008416아동·청소년비전형성지원서비스<NA>2020-03-23기본현황2021-08-02
162킴즈포레이효권플롯스튜디오이효권경상남도 양산시 물금읍 야리로 11835.311123129.008416아동·노인연극교육서비스<NA>2020-03-23기본현황2021-08-02
163킴즈포레이효권플롯스튜디오이효권경상남도 양산시 물금읍 야리로 11835.311123129.008416임신,육아,출산부모교육서비스<NA>2020-03-23기본현황2021-08-02
164토브이준행경상남도 양산시 동면 금오11길 32-1235.315873129.022039아동·노인연극교육서비스055-363-7038<NA>기본현황2021-08-02
165희망나무상담치료센터홍혜숙경상남도 양산시 양산시 명동6길 1935.396594129.166045아동청소년심리지원서비스055-366-63662012-10-26기본현황2021-08-02
166희망나무상담치료센터홍혜숙경상남도 양산시 양산시 명동6길 1935.396594129.166045영유아발달지원서비스055-366-63662014-03-06기본현황2021-08-02
167희망나무상담치료센터홍혜숙경상남도 양산시 양산시 명동6길 1935.396594129.166045인터넷 과몰입 아동·청소년치유서비스055-366-63662014-03-06기본현황2021-08-02
168희망나무상담치료센터홍혜숙경상남도 양산시 양산시 명동6길 1935.396594129.166045아동·청소년비전형성지원서비스055-366-63662014-03-06기본현황2021-08-02
169희망아동발달센터김승주경상남도 양산시 물금읍 물금로 96-1735.313097128.994221아동청소년심리지원서비스055-385-86862018-04-05기본현황2021-08-02
170희망아동발달센터김승주경상남도 양산시 물금읍 물금로 96-1735.313097128.994221영유아발달지원서비스055-385-86862018-04-05기본현황2021-08-02