Overview

Dataset statistics

Number of variables10
Number of observations175
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.1 KiB
Average record size in memory82.8 B

Variable types

Text4
Numeric2
Categorical3
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
데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
연락처 is highly overall correlated with 위도 and 1 other fieldsHigh correlation

Reproduction

Analysis started2024-04-17 16:33:01.454913
Analysis finished2024-04-17 16:33:02.365297
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct61
Distinct (%)34.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-04-18T01:33:02.488301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length9.7828571
Min length4

Characters and Unicode

Total characters1712
Distinct characters186
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

Unique11 ?
Unique (%)6.3%

Sample

1st row(사)미주교육문화 진흥회
2nd row(사)미주교육문화 진흥회
3rd row(사)미주교육문화 진흥회
4th row(사)미주교육문화 진흥회
5th row(사)미주교육문화 진흥회
ValueCountFrequency (%)
더흄심리상담센터 7
 
3.2%
꿈따움언어심리발달센터 6
 
2.8%
사)미주교육문화 6
 
2.8%
진흥회 6
 
2.8%
비전플러스 6
 
2.8%
쿰언어심리연구소 5
 
2.3%
심리발달센터 5
 
2.3%
물금양지아동청소년 5
 
2.3%
꿈트리에듀 5
 
2.3%
언어.청각재활연구소 5
 
2.3%
Other values (63) 160
74.1%
2024-04-18T01:33:02.770165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
80
 
4.7%
76
 
4.4%
63
 
3.7%
50
 
2.9%
46
 
2.7%
42
 
2.5%
41
 
2.4%
39
 
2.3%
38
 
2.2%
38
 
2.2%
Other values (176) 1199
70.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1612
94.2%
Space Separator 41
 
2.4%
Uppercase Letter 18
 
1.1%
Close Punctuation 14
 
0.8%
Open Punctuation 14
 
0.8%
Other Punctuation 11
 
0.6%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
80
 
5.0%
76
 
4.7%
63
 
3.9%
50
 
3.1%
46
 
2.9%
42
 
2.6%
39
 
2.4%
38
 
2.4%
38
 
2.4%
36
 
2.2%
Other values (163) 1104
68.5%
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
45.5%
· 4
36.4%
& 2
 
18.2%
Space Separator
ValueCountFrequency (%)
41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Decimal Number
ValueCountFrequency (%)
9 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1612
94.2%
Common 82
 
4.8%
Latin 18
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
80
 
5.0%
76
 
4.7%
63
 
3.9%
50
 
3.1%
46
 
2.9%
42
 
2.6%
39
 
2.4%
38
 
2.4%
38
 
2.4%
36
 
2.2%
Other values (163) 1104
68.5%
Common
ValueCountFrequency (%)
41
50.0%
) 14
 
17.1%
( 14
 
17.1%
. 5
 
6.1%
· 4
 
4.9%
& 2
 
2.4%
9 2
 
2.4%
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 1612
94.2%
ASCII 96
 
5.6%
None 4
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
80
 
5.0%
76
 
4.7%
63
 
3.9%
50
 
3.1%
46
 
2.9%
42
 
2.6%
39
 
2.4%
38
 
2.4%
38
 
2.4%
36
 
2.2%
Other values (163) 1104
68.5%
ASCII
ValueCountFrequency (%)
41
42.7%
) 14
 
14.6%
( 14
 
14.6%
E 5
 
5.2%
N 5
 
5.2%
. 5
 
5.2%
& 2
 
2.1%
Y 2
 
2.1%
M 2
 
2.1%
C 2
 
2.1%
Other values (2) 4
 
4.2%
None
ValueCountFrequency (%)
· 4
100.0%
Distinct60
Distinct (%)34.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-04-18T01:33:02.963229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters525
Distinct characters75
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

Unique11 ?
Unique (%)6.3%

Sample

1st row정영옥
2nd row정영옥
3rd row정영옥
4th row정영옥
5th row정영옥
ValueCountFrequency (%)
허혜정 7
 
4.0%
이영혜 7
 
4.0%
정영옥 6
 
3.4%
진성아 6
 
3.4%
천석호 6
 
3.4%
이효권 5
 
2.9%
변정미 5
 
2.9%
최희승 5
 
2.9%
권토양 5
 
2.9%
이현정 5
 
2.9%
Other values (50) 118
67.4%
2024-04-18T01:33:03.246229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42
 
8.0%
33
 
6.3%
33
 
6.3%
22
 
4.2%
19
 
3.6%
17
 
3.2%
17
 
3.2%
16
 
3.0%
15
 
2.9%
13
 
2.5%
Other values (65) 298
56.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 525
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
42
 
8.0%
33
 
6.3%
33
 
6.3%
22
 
4.2%
19
 
3.6%
17
 
3.2%
17
 
3.2%
16
 
3.0%
15
 
2.9%
13
 
2.5%
Other values (65) 298
56.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 525
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
42
 
8.0%
33
 
6.3%
33
 
6.3%
22
 
4.2%
19
 
3.6%
17
 
3.2%
17
 
3.2%
16
 
3.0%
15
 
2.9%
13
 
2.5%
Other values (65) 298
56.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 525
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
42
 
8.0%
33
 
6.3%
33
 
6.3%
22
 
4.2%
19
 
3.6%
17
 
3.2%
17
 
3.2%
16
 
3.0%
15
 
2.9%
13
 
2.5%
Other values (65) 298
56.8%
Distinct58
Distinct (%)33.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-04-18T01:33:03.467735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length18.497143
Min length14

Characters and Unicode

Total characters3237
Distinct characters72
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

Unique10 ?
Unique (%)5.7%

Sample

1st row경상남도 양산시 물금읍 증산역로 149
2nd row경상남도 양산시 물금읍 증산역로 149
3rd row경상남도 양산시 물금읍 증산역로 149
4th row경상남도 양산시 물금읍 증산역로 149
5th row경상남도 양산시 물금읍 증산역로 149
ValueCountFrequency (%)
양산시 187
23.6%
경상남도 175
22.1%
물금읍 71
 
9.0%
증산역로 14
 
1.8%
양주3길 12
 
1.5%
17 9
 
1.1%
54 9
 
1.1%
동면 9
 
1.1%
범구로 9
 
1.1%
149 9
 
1.1%
Other values (92) 288
36.4%
2024-04-18T01:33:03.795424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
617
19.1%
221
 
6.8%
218
 
6.7%
187
 
5.8%
177
 
5.5%
175
 
5.4%
175
 
5.4%
175
 
5.4%
1 119
 
3.7%
102
 
3.2%
Other values (62) 1071
33.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2071
64.0%
Space Separator 617
 
19.1%
Decimal Number 505
 
15.6%
Dash Punctuation 44
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
221
10.7%
218
10.5%
187
 
9.0%
177
 
8.5%
175
 
8.5%
175
 
8.5%
175
 
8.5%
102
 
4.9%
74
 
3.6%
73
 
3.5%
Other values (50) 494
23.9%
Decimal Number
ValueCountFrequency (%)
1 119
23.6%
3 63
12.5%
4 59
11.7%
5 58
11.5%
6 50
9.9%
2 40
 
7.9%
7 38
 
7.5%
9 31
 
6.1%
8 31
 
6.1%
0 16
 
3.2%
Space Separator
ValueCountFrequency (%)
617
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2071
64.0%
Common 1166
36.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
221
10.7%
218
10.5%
187
 
9.0%
177
 
8.5%
175
 
8.5%
175
 
8.5%
175
 
8.5%
102
 
4.9%
74
 
3.6%
73
 
3.5%
Other values (50) 494
23.9%
Common
ValueCountFrequency (%)
617
52.9%
1 119
 
10.2%
3 63
 
5.4%
4 59
 
5.1%
5 58
 
5.0%
6 50
 
4.3%
- 44
 
3.8%
2 40
 
3.4%
7 38
 
3.3%
9 31
 
2.7%
Other values (2) 47
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2071
64.0%
ASCII 1166
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
617
52.9%
1 119
 
10.2%
3 63
 
5.4%
4 59
 
5.1%
5 58
 
5.0%
6 50
 
4.3%
- 44
 
3.8%
2 40
 
3.4%
7 38
 
3.3%
9 31
 
2.7%
Other values (2) 47
 
4.0%
Hangul
ValueCountFrequency (%)
221
10.7%
218
10.5%
187
 
9.0%
177
 
8.5%
175
 
8.5%
175
 
8.5%
175
 
8.5%
102
 
4.9%
74
 
3.6%
73
 
3.5%
Other values (50) 494
23.9%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct58
Distinct (%)33.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.343088
Minimum35.306972
Maximum35.415845
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-18T01:33:03.909520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.306972
5-th percentile35.309886
Q135.317603
median35.332061
Q335.347161
95-th percentile35.403706
Maximum35.415845
Range0.10887328
Interquartile range (IQR)0.02955816

Descriptive statistics

Standard deviation0.030994585
Coefficient of variation (CV)0.00087696314
Kurtosis-0.31700834
Mean35.343088
Median Absolute Deviation (MAD)0.01484402
Skewness0.92537362
Sum6185.0404
Variance0.00096066432
MonotonicityNot monotonic
2024-04-18T01:33:04.016253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.30988589 9
 
5.1%
35.32786827 7
 
4.0%
35.3118187 7
 
4.0%
35.40370552 6
 
3.4%
35.340627 6
 
3.4%
35.31112314 5
 
2.9%
35.34170813 5
 
2.9%
35.34263934 5
 
2.9%
35.33115577 5
 
2.9%
35.33171859 5
 
2.9%
Other values (48) 115
65.7%
ValueCountFrequency (%)
35.30697219 1
 
0.6%
35.30776022 2
 
1.1%
35.30988146 2
 
1.1%
35.30988589 9
5.1%
35.31035324 3
 
1.7%
35.310649 2
 
1.1%
35.310665 5
2.9%
35.31112314 5
2.9%
35.3118187 7
4.0%
35.31309729 2
 
1.1%
ValueCountFrequency (%)
35.41584547 5
2.9%
35.40777275 2
 
1.1%
35.40370552 6
3.4%
35.39694546 2
 
1.1%
35.396594 4
2.3%
35.39582806 4
2.3%
35.3849961 4
2.3%
35.38393014 2
 
1.1%
35.38187 2
 
1.1%
35.38134087 2
 
1.1%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct58
Distinct (%)33.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.05207
Minimum128.98749
Maximum129.172
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-18T01:33:04.128212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.98749
5-th percentile128.99799
Q1129.00669
median129.02837
Q3129.07068
95-th percentile129.16925
Maximum129.172
Range0.1845189
Interquartile range (IQR)0.0639933

Descriptive statistics

Standard deviation0.061581833
Coefficient of variation (CV)0.00047718594
Kurtosis-0.5490883
Mean129.05207
Median Absolute Deviation (MAD)0.0220159
Skewness1.0818371
Sum22584.112
Variance0.0037923221
MonotonicityNot monotonic
2024-04-18T01:33:04.230960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.0063573 9
 
5.1%
129.0137366 7
 
4.0%
129.0066871 7
 
4.0%
129.169251 6
 
3.4%
129.032832 6
 
3.4%
129.008416 5
 
2.9%
129.0370089 5
 
2.9%
129.0308166 5
 
2.9%
129.0187534 5
 
2.9%
129.0049363 5
 
2.9%
Other values (48) 115
65.7%
ValueCountFrequency (%)
128.987486 2
 
1.1%
128.9884686 1
 
0.6%
128.9926299 2
 
1.1%
128.994221 2
 
1.1%
128.995071 1
 
0.6%
128.9979885 3
1.7%
128.999144 5
2.9%
129.0013825 2
 
1.1%
129.0024331 1
 
0.6%
129.0028181 1
 
0.6%
ValueCountFrequency (%)
129.1720049 5
2.9%
129.169251 6
3.4%
129.166045 4
2.3%
129.1650951 2
 
1.1%
129.1637581 2
 
1.1%
129.1559451 1
 
0.6%
129.155436 4
2.3%
129.154088 2
 
1.1%
129.1529647 2
 
1.1%
129.1524566 4
2.3%

사업유형
Categorical

Distinct30
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
아동청소년심리지원서비스
43 
영유아발달지원서비스
39 
아동·청소년비전형성지원서비스
27 
아동·노인 연극교육서비스
12 
정신건강토탈케어서비스
Other values (25)
45 

Length

Max length22
Median length21
Mean length12.742857
Min length10

Unique

Unique13 ?
Unique (%)7.4%

Sample

1st row아동청소년심리지원서비스
2nd row인터넷과몰입 아동·청소년 치유서비스
3rd row아동·청소년비전형성지원서비스
4th row아동·노인 연극교육서비스
5th row찾아가는건강운동서비스

Common Values

ValueCountFrequency (%)
아동청소년심리지원서비스 43
24.6%
영유아발달지원서비스 39
22.3%
아동·청소년비전형성지원서비스 27
15.4%
아동·노인 연극교육서비스 12
 
6.9%
정신건강토탈케어서비스 9
 
5.1%
아동노인연극 교육서비스 4
 
2.3%
맞춤형 헬스케어서비스사업 4
 
2.3%
아동·노인연극교육서비스 4
 
2.3%
인터넷 과몰입 아동·청소년치유서비스 3
 
1.7%
아동청소년비전형성지원서비스 3
 
1.7%
Other values (20) 27
15.4%

Length

2024-04-18T01:33:04.353073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
아동청소년심리지원서비스 43
17.7%
영유아발달지원서비스 39
16.0%
아동·청소년비전형성지원서비스 27
11.1%
아동·노인 13
 
5.3%
연극교육서비스 13
 
5.3%
인터넷 10
 
4.1%
정신건강토탈케어서비스 9
 
3.7%
맞춤형 8
 
3.3%
과몰입 8
 
3.3%
치유서비스 7
 
2.9%
Other values (27) 66
27.2%

연락처
Categorical

HIGH CORRELATION 

Distinct50
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
41 
0507-1377-4424
 
7
055-385-6222
 
6
0507-1349-4233
 
6
0507-1425-1117
 
5
Other values (45)
110 

Length

Max length14
Median length13
Mean length10.674286
Min length1

Unique

Unique10 ?
Unique (%)5.7%

Sample

1st row055-385-6222
2nd row055-385-6222
3rd row055-385-6222
4th row055-385-6222
5th row055-385-6222

Common Values

ValueCountFrequency (%)
<NA> 41
23.4%
0507-1377-4424 7
 
4.0%
055-385-6222 6
 
3.4%
0507-1349-4233 6
 
3.4%
0507-1425-1117 5
 
2.9%
070-8285-5123 5
 
2.9%
0507-1427-0430 5
 
2.9%
055-388-2779 5
 
2.9%
055-382-1025 5
 
2.9%
0507-1429-7591 5
 
2.9%
Other values (40) 85
48.6%

Length

2024-04-18T01:33:04.475336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 41
23.4%
0507-1377-4424 7
 
4.0%
055-385-6222 6
 
3.4%
0507-1349-4233 6
 
3.4%
055-388-2779 5
 
2.9%
0507-1429-7591 5
 
2.9%
055-382-1025 5
 
2.9%
0507-1427-0430 5
 
2.9%
070-8285-5123 5
 
2.9%
0507-1425-1117 5
 
2.9%
Other values (40) 85
48.6%
Distinct105
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-04-18T01:33:04.709929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1750
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

Unique65 ?
Unique (%)37.1%

Sample

1st row2014-03-06
2nd row2013-04-25
3rd row2014-03-06
4th row2015-03-27
5th row2016-02-29
ValueCountFrequency (%)
2014-03-06 8
 
4.6%
2017-12-05 7
 
4.0%
2020-03-23 5
 
2.9%
2017-04-13 4
 
2.3%
2015-10-12 4
 
2.3%
2015-11-13 4
 
2.3%
2017-12-18 4
 
2.3%
2019-11-07 3
 
1.7%
2020-01-03 3
 
1.7%
2018-01-19 3
 
1.7%
Other values (95) 130
74.3%
2024-04-18T01:33:05.054994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 394
22.5%
- 350
20.0%
1 338
19.3%
2 336
19.2%
3 63
 
3.6%
7 55
 
3.1%
4 51
 
2.9%
5 45
 
2.6%
6 42
 
2.4%
9 40
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1400
80.0%
Dash Punctuation 350
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 394
28.1%
1 338
24.1%
2 336
24.0%
3 63
 
4.5%
7 55
 
3.9%
4 51
 
3.6%
5 45
 
3.2%
6 42
 
3.0%
9 40
 
2.9%
8 36
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 350
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1750
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 394
22.5%
- 350
20.0%
1 338
19.3%
2 336
19.2%
3 63
 
3.6%
7 55
 
3.1%
4 51
 
2.9%
5 45
 
2.6%
6 42
 
2.4%
9 40
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1750
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 394
22.5%
- 350
20.0%
1 338
19.3%
2 336
19.2%
3 63
 
3.6%
7 55
 
3.1%
4 51
 
2.9%
5 45
 
2.6%
6 42
 
2.4%
9 40
 
2.3%

출처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
기본현황
175 

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 175
100.0%

Length

2024-04-18T01:33:05.165937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:33:05.238469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기본현황 175
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2020-12-01 00:00:00
Maximum2020-12-01 00:00:00
2024-04-18T01:33:05.308232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:33:05.385604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-18T01:33:02.032516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:33:01.873363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:33:02.099806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:33:01.943524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-18T01:33:05.440197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제공기관명대표자도로명주소위도경도사업유형연락처
제공기관명1.0001.0001.0001.0001.0000.7441.000
대표자1.0001.0001.0000.9990.9990.7821.000
도로명주소1.0001.0001.0001.0001.0000.6621.000
위도1.0000.9991.0001.0000.8020.0001.000
경도1.0000.9991.0000.8021.0000.6171.000
사업유형0.7440.7820.6620.0000.6171.0000.399
연락처1.0001.0001.0001.0001.0000.3991.000
2024-04-18T01:33:05.516583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연락처사업유형
연락처1.0000.064
사업유형0.0641.000
2024-04-18T01:33:05.589609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도사업유형연락처
위도1.0000.8960.0000.821
경도0.8961.0000.2910.818
사업유형0.0000.2911.0000.064
연락처0.8210.8180.0641.000

Missing values

2024-04-18T01:33:02.195610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-18T01:33:02.314183image/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

제공기관명대표자도로명주소위도경도사업유형연락처지정일자출처데이터기준일자
0(사)미주교육문화 진흥회정영옥경상남도 양산시 물금읍 증산역로 14935.309886129.006357아동청소년심리지원서비스055-385-62222014-03-06기본현황2020-12-01
1(사)미주교육문화 진흥회정영옥경상남도 양산시 물금읍 증산역로 14935.309886129.006357인터넷과몰입 아동·청소년 치유서비스055-385-62222013-04-25기본현황2020-12-01
2(사)미주교육문화 진흥회정영옥경상남도 양산시 물금읍 증산역로 14935.309886129.006357아동·청소년비전형성지원서비스055-385-62222014-03-06기본현황2020-12-01
3(사)미주교육문화 진흥회정영옥경상남도 양산시 물금읍 증산역로 14935.309886129.006357아동·노인 연극교육서비스055-385-62222015-03-27기본현황2020-12-01
4(사)미주교육문화 진흥회정영옥경상남도 양산시 물금읍 증산역로 14935.309886129.006357찾아가는건강운동서비스055-385-62222016-02-29기본현황2020-12-01
5(사)미주교육문화 진흥회정영옥경상남도 양산시 물금읍 증산역로 14935.309886129.006357임신, 육아, 출산 부모 교육서비스055-385-62222020-01-15기본현황2020-12-01
6(사)한국건강 스포츠문화원이종대경상남도 양산시 양산대로 79435.341819129.033982찾아가는 건강운동서비스055-781-10092012-10-14기본현황2020-12-01
7(사)한국청소년문화원임재춘경상남도 양산시 덕명로 32235.396945129.163758인터넷 과몰입 아동·청소년 치유서비스055-387-68242012-10-16기본현황2020-12-01
8(사)한국청소년문화원임재춘경상남도 양산시 덕명로 32235.396945129.163758아동·청소년비전형성지원서비스055-387-68242014-03-06기본현황2020-12-01
9(재)한국레저스포츠 문화재단양산지부박현종경상남도 양산시 동면 강변로 264-135.32783129.0276맞춤형 헬스케어서비스사업<NA>2012-10-15기본현황2020-12-01
제공기관명대표자도로명주소위도경도사업유형연락처지정일자출처데이터기준일자
165킴즈포레이효권플롯스튜디오이효권경상남도 양산시 물금읍 야리로 11835.311123129.008416영유아발달지원서비스<NA>2020-03-23기본현황2020-12-01
166킴즈포레이효권플롯스튜디오이효권경상남도 양산시 물금읍 야리로 11835.311123129.008416아동·청소년비전형성지원서비스<NA>2020-03-23기본현황2020-12-01
167킴즈포레이효권플롯스튜디오이효권경상남도 양산시 물금읍 야리로 11835.311123129.008416아동·노인연극교육서비스<NA>2020-03-23기본현황2020-12-01
168킴즈포레이효권플롯스튜디오이효권경상남도 양산시 물금읍 야리로 11835.311123129.008416임신,육아,출산부모교육서비스<NA>2020-03-23기본현황2020-12-01
169희망나무상담치료센터홍혜숙경상남도 양산시 양산시 명동6길 1935.396594129.166045아동청소년심리지원서비스055-366-66612012-10-26기본현황2020-12-01
170희망나무상담치료센터홍혜숙경상남도 양산시 양산시 명동6길 1935.396594129.166045영유아발달지원서비스055-366-66612014-03-06기본현황2020-12-01
171희망나무상담치료센터홍혜숙경상남도 양산시 양산시 명동6길 1935.396594129.166045인터넷 과몰입 아동·청소년치유서비스055-366-66612014-03-06기본현황2020-12-01
172희망나무상담치료센터홍혜숙경상남도 양산시 양산시 명동6길 1935.396594129.166045아동·청소년비전형성지원서비스055-366-66612014-03-06기본현황2020-12-01
173희망아동발달센터김승주경상남도 양산시 물금읍 물금로 96-1735.313097128.994221아동청소년심리지원서비스0507-1301-65502018-04-05기본현황2020-12-01
174희망아동발달센터김승주경상남도 양산시 물금읍 물금로 96-1735.313097128.994221영유아발달지원서비스0507-1301-65502018-04-05기본현황2020-12-01