Overview

Dataset statistics

Number of variables9
Number of observations28
Missing cells54
Missing cells (%)21.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory80.7 B

Variable types

Text3
Numeric4
Categorical2

Dataset

Description경상남도 양산시 문화예술 단체 현황에 대한 파일데이터입니다. 단체명, 설립연도, 회원수, 주소 등의 정보를 포함하고 있습니다.
Author경상남도 양산시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15074058

Alerts

출처 has constant value ""Constant
데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
주소 has 15 (53.6%) missing valuesMissing
위도 has 15 (53.6%) missing valuesMissing
경도 has 15 (53.6%) missing valuesMissing
전화번호 has 9 (32.1%) missing valuesMissing
단체명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:49:33.979783
Analysis finished2023-12-11 00:49:36.146215
Duration2.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

단체명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-11T09:49:36.265601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12.5
Mean length9.2857143
Min length5

Characters and Unicode

Total characters260
Distinct characters82
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row양산문화원
2nd row관설당서예협회
3rd row한국문인협회 양산지부
4th row한국무용협회 양산지부
5th row한국음악협회 양산지부
ValueCountFrequency (%)
양산지부 7
 
17.5%
국악예술단 2
 
5.0%
양산문화원 1
 
2.5%
삽량윈드오케스트라 1
 
2.5%
청라합창단 1
 
2.5%
양산어린이합창단 1
 
2.5%
뫼울 1
 
2.5%
“풍” 1
 
2.5%
천성문인협회 1
 
2.5%
연우여성합창단 1
 
2.5%
Other values (23) 23
57.5%
2023-12-11T09:49:36.581440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 17
 
6.5%
양 15
 
5.8%
산 15
 
5.8%
14
 
5.4%
국 12
 
4.6%
협 11
 
4.2%
예 10
 
3.8%
한 10
 
3.8%
지 10
 
3.8%
단 9
 
3.5%
Other values (72) 137
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 240
92.3%
Space Separator 14
 
5.4%
Open Punctuation 2
 
0.8%
Close Punctuation 2
 
0.8%
Final Punctuation 1
 
0.4%
Initial Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 17
 
7.1%
양 15
 
6.2%
산 15
 
6.2%
국 12
 
5.0%
협 11
 
4.6%
예 10
 
4.2%
한 10
 
4.2%
지 10
 
4.2%
단 9
 
3.8%
술 7
 
2.9%
Other values (67) 124
51.7%
Space Separator
ValueCountFrequency (%)
14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Final Punctuation
ValueCountFrequency (%)
” 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 240
92.3%
Common 20
 
7.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 17
 
7.1%
양 15
 
6.2%
산 15
 
6.2%
국 12
 
5.0%
협 11
 
4.6%
예 10
 
4.2%
한 10
 
4.2%
지 10
 
4.2%
단 9
 
3.8%
술 7
 
2.9%
Other values (67) 124
51.7%
Common
ValueCountFrequency (%)
14
70.0%
( 2
 
10.0%
) 2
 
10.0%
” 1
 
5.0%
“ 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 240
92.3%
ASCII 18
 
6.9%
Punctuation 2
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 17
 
7.1%
양 15
 
6.2%
산 15
 
6.2%
국 12
 
5.0%
협 11
 
4.6%
예 10
 
4.2%
한 10
 
4.2%
지 10
 
4.2%
단 9
 
3.8%
술 7
 
2.9%
Other values (67) 124
51.7%
ASCII
ValueCountFrequency (%)
14
77.8%
( 2
 
11.1%
) 2
 
11.1%
Punctuation
ValueCountFrequency (%)
” 1
50.0%
“ 1
50.0%

설립연도
Real number (ℝ)

Distinct20
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2004.25
Minimum1986
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-11T09:49:36.686759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1986
5-th percentile1993.35
Q11999
median2005
Q32009.25
95-th percentile2015.3
Maximum2020
Range34
Interquartile range (IQR)10.25

Descriptive statistics

Standard deviation7.6139492
Coefficient of variation (CV)0.0037989019
Kurtosis0.030727796
Mean2004.25
Median Absolute Deviation (MAD)5
Skewness-0.18410347
Sum56119
Variance57.972222
MonotonicityNot monotonic
2023-12-11T09:49:36.789846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
1999 3
 
10.7%
2009 3
 
10.7%
2006 2
 
7.1%
2010 2
 
7.1%
2000 2
 
7.1%
2001 2
 
7.1%
1986 1
 
3.6%
2014 1
 
3.6%
2016 1
 
3.6%
2004 1
 
3.6%
Other values (10) 10
35.7%
ValueCountFrequency (%)
1986 1
 
3.6%
1993 1
 
3.6%
1994 1
 
3.6%
1996 1
 
3.6%
1998 1
 
3.6%
1999 3
10.7%
2000 2
7.1%
2001 2
7.1%
2002 1
 
3.6%
2004 1
 
3.6%
ValueCountFrequency (%)
2020 1
 
3.6%
2016 1
 
3.6%
2014 1
 
3.6%
2012 1
 
3.6%
2011 1
 
3.6%
2010 2
7.1%
2009 3
10.7%
2008 1
 
3.6%
2007 1
 
3.6%
2006 2
7.1%

회원수
Real number (ℝ)

Distinct24
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.392857
Minimum18
Maximum500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-11T09:49:36.903131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile19
Q125
median36.5
Q362.75
95-th percentile418.5
Maximum500
Range482
Interquartile range (IQR)37.75

Descriptive statistics

Standard deviation128.14498
Coefficient of variation (CV)1.4832821
Kurtosis5.6550499
Mean86.392857
Median Absolute Deviation (MAD)13.5
Skewness2.5725331
Sum2419
Variance16421.136
MonotonicityNot monotonic
2023-12-11T09:49:37.017060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
25 3
 
10.7%
19 2
 
7.1%
35 2
 
7.1%
360 1
 
3.6%
20 1
 
3.6%
44 1
 
3.6%
31 1
 
3.6%
450 1
 
3.6%
55 1
 
3.6%
27 1
 
3.6%
Other values (14) 14
50.0%
ValueCountFrequency (%)
18 1
 
3.6%
19 2
7.1%
20 1
 
3.6%
23 1
 
3.6%
25 3
10.7%
27 1
 
3.6%
30 1
 
3.6%
31 1
 
3.6%
33 1
 
3.6%
35 2
7.1%
ValueCountFrequency (%)
500 1
3.6%
450 1
3.6%
360 1
3.6%
120 1
3.6%
113 1
3.6%
103 1
3.6%
86 1
3.6%
55 1
3.6%
54 1
3.6%
50 1
3.6%

주소
Text

MISSING 

Distinct12
Distinct (%)92.3%
Missing15
Missing (%)53.6%
Memory size356.0 B
2023-12-11T09:49:37.190969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length27
Mean length21.461538
Min length15

Characters and Unicode

Total characters279
Distinct characters56
Distinct categories7 ?
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 (%)84.6%

Sample

1st row경상남도 양산시 북정로 76 (북정동 686)
2nd row경상남도 양산시 양산대로 849
3rd row경상남도 양산시 중앙로 39-1
4th row경상남도 양산시 상북면 석계리 74-5
5th row경상남도 양산시 장동1길 13-1
ValueCountFrequency (%)
경상남도 13
19.7%
양산시 13
19.7%
중앙로 2
 
3.0%
39-1 2
 
3.0%
동면 2
 
3.0%
90 1
 
1.5%
123 1
 
1.5%
중앙빌딩 1
 
1.5%
2층 1
 
1.5%
물금읍 1
 
1.5%
Other values (29) 29
43.9%
2023-12-11T09:49:37.501494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
53
19.0%
산 15
 
5.4%
상 15
 
5.4%
남 14
 
5.0%
양 14
 
5.0%
경 13
 
4.7%
도 13
 
4.7%
시 13
 
4.7%
1 9
 
3.2%
4 8
 
2.9%
Other values (46) 112
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 164
58.8%
Space Separator 53
 
19.0%
Decimal Number 52
 
18.6%
Dash Punctuation 5
 
1.8%
Open Punctuation 2
 
0.7%
Close Punctuation 2
 
0.7%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 15
 
9.1%
상 15
 
9.1%
남 14
 
8.5%
양 14
 
8.5%
경 13
 
7.9%
도 13
 
7.9%
시 13
 
7.9%
동 8
 
4.9%
로 6
 
3.7%
북 4
 
2.4%
Other values (31) 49
29.9%
Decimal Number
ValueCountFrequency (%)
1 9
17.3%
4 8
15.4%
0 6
11.5%
2 5
9.6%
3 5
9.6%
9 4
7.7%
7 4
7.7%
6 4
7.7%
8 4
7.7%
5 3
 
5.8%
Space Separator
ValueCountFrequency (%)
53
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 164
58.8%
Common 115
41.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 15
 
9.1%
상 15
 
9.1%
남 14
 
8.5%
양 14
 
8.5%
경 13
 
7.9%
도 13
 
7.9%
시 13
 
7.9%
동 8
 
4.9%
로 6
 
3.7%
북 4
 
2.4%
Other values (31) 49
29.9%
Common
ValueCountFrequency (%)
53
46.1%
1 9
 
7.8%
4 8
 
7.0%
0 6
 
5.2%
2 5
 
4.3%
- 5
 
4.3%
3 5
 
4.3%
9 4
 
3.5%
7 4
 
3.5%
6 4
 
3.5%
Other values (5) 12
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 164
58.8%
ASCII 115
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
53
46.1%
1 9
 
7.8%
4 8
 
7.0%
0 6
 
5.2%
2 5
 
4.3%
- 5
 
4.3%
3 5
 
4.3%
9 4
 
3.5%
7 4
 
3.5%
6 4
 
3.5%
Other values (5) 12
 
10.4%
Hangul
ValueCountFrequency (%)
산 15
 
9.1%
상 15
 
9.1%
남 14
 
8.5%
양 14
 
8.5%
경 13
 
7.9%
도 13
 
7.9%
시 13
 
7.9%
동 8
 
4.9%
로 6
 
3.7%
북 4
 
2.4%
Other values (31) 49
29.9%

위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct13
Distinct (%)100.0%
Missing15
Missing (%)53.6%
Infinite0
Infinite (%)0.0%
Mean35.357709
Minimum35.312504
Maximum35.479916
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-11T09:49:37.619669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.312504
5-th percentile35.32219
Q135.333623
median35.345165
Q335.358484
95-th percentile35.441275
Maximum35.479916
Range0.167412
Interquartile range (IQR)0.024861

Descriptive statistics

Standard deviation0.044188029
Coefficient of variation (CV)0.0012497424
Kurtosis4.7586265
Mean35.357709
Median Absolute Deviation (MAD)0.011546
Skewness2.1163317
Sum459.65022
Variance0.0019525819
MonotonicityNot monotonic
2023-12-11T09:49:37.710360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
35.358484 1
 
3.6%
35.344201 1
 
3.6%
35.333623 1
 
3.6%
35.415514 1
 
3.6%
35.345165 1
 
3.6%
35.352832 1
 
3.6%
35.328648 1
 
3.6%
35.34719 1
 
3.6%
35.312504 1
 
3.6%
35.333619 1
 
3.6%
Other values (3) 3
 
10.7%
(Missing) 15
53.6%
ValueCountFrequency (%)
35.312504 1
3.6%
35.328648 1
3.6%
35.333619 1
3.6%
35.333623 1
3.6%
35.333625 1
3.6%
35.344201 1
3.6%
35.345165 1
3.6%
35.34719 1
3.6%
35.352832 1
3.6%
35.358484 1
3.6%
ValueCountFrequency (%)
35.479916 1
3.6%
35.415514 1
3.6%
35.364894 1
3.6%
35.358484 1
3.6%
35.352832 1
3.6%
35.34719 1
3.6%
35.345165 1
3.6%
35.344201 1
3.6%
35.333625 1
3.6%
35.333623 1
3.6%

경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct13
Distinct (%)100.0%
Missing15
Missing (%)53.6%
Infinite0
Infinite (%)0.0%
Mean129.04138
Minimum129.00647
Maximum129.07689
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-11T09:49:37.810232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.00647
5-th percentile129.02113
Q1129.03693
median129.03836
Q3129.04851
95-th percentile129.06765
Maximum129.07689
Range0.070421
Interquartile range (IQR)0.011577

Descriptive statistics

Standard deviation0.016319534
Coefficient of variation (CV)0.00012646745
Kurtosis2.4064295
Mean129.04138
Median Absolute Deviation (MAD)0.00198
Skewness0.21562892
Sum1677.5379
Variance0.00026632718
MonotonicityNot monotonic
2023-12-11T09:49:37.918796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
129.048506 1
 
3.6%
129.030898 1
 
3.6%
129.03693 1
 
3.6%
129.061491 1
 
3.6%
129.039212 1
 
3.6%
129.038365 1
 
3.6%
129.036385 1
 
3.6%
129.040339 1
 
3.6%
129.006467 1
 
3.6%
129.036929 1
 
3.6%
Other values (3) 3
 
10.7%
(Missing) 15
53.6%
ValueCountFrequency (%)
129.006467 1
3.6%
129.030898 1
3.6%
129.036385 1
3.6%
129.036929 1
3.6%
129.03693 1
3.6%
129.036931 1
3.6%
129.038365 1
3.6%
129.039212 1
3.6%
129.040339 1
3.6%
129.048506 1
3.6%
ValueCountFrequency (%)
129.076888 1
3.6%
129.061491 1
3.6%
129.048581 1
3.6%
129.048506 1
3.6%
129.040339 1
3.6%
129.039212 1
3.6%
129.038365 1
3.6%
129.036931 1
3.6%
129.03693 1
3.6%
129.036929 1
3.6%

전화번호
Text

MISSING 

Distinct18
Distinct (%)94.7%
Missing9
Missing (%)32.1%
Memory size356.0 B
2023-12-11T09:49:38.063224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.157895
Min length12

Characters and Unicode

Total characters231
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

Unique17 ?
Unique (%)89.5%

Sample

1st row055-386-0890
2nd row055-382-0700
3rd row055-374-3108
4th row055-366-0009
5th row055-388-1982
ValueCountFrequency (%)
055-387-6666 2
 
10.5%
055-386-0890 1
 
5.3%
055-385-7060 1
 
5.3%
055-383-0360 1
 
5.3%
055-385-2101 1
 
5.3%
055-384-1155 1
 
5.3%
055-385-5860 1
 
5.3%
070-4107-7940 1
 
5.3%
055-364-5959 1
 
5.3%
055-362-5283 1
 
5.3%
Other values (8) 8
42.1%
2023-12-11T09:49:38.321089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 45
19.5%
0 44
19.0%
- 38
16.5%
3 25
10.8%
8 19
8.2%
6 19
8.2%
7 11
 
4.8%
1 9
 
3.9%
2 8
 
3.5%
9 7
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 193
83.5%
Dash Punctuation 38
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 45
23.3%
0 44
22.8%
3 25
13.0%
8 19
9.8%
6 19
9.8%
7 11
 
5.7%
1 9
 
4.7%
2 8
 
4.1%
9 7
 
3.6%
4 6
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 231
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 45
19.5%
0 44
19.0%
- 38
16.5%
3 25
10.8%
8 19
8.2%
6 19
8.2%
7 11
 
4.8%
1 9
 
3.9%
2 8
 
3.5%
9 7
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 231
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 45
19.5%
0 44
19.0%
- 38
16.5%
3 25
10.8%
8 19
8.2%
6 19
8.2%
7 11
 
4.8%
1 9
 
3.9%
2 8
 
3.5%
9 7
 
3.0%

출처
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
기본현황
28 

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 28
100.0%

Length

2023-12-11T09:49:38.437886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:49:38.511717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기본현황 28
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
2021-08-03
28 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-08-03
2nd row2021-08-03
3rd row2021-08-03
4th row2021-08-03
5th row2021-08-03

Common Values

ValueCountFrequency (%)
2021-08-03 28
100.0%

Length

2023-12-11T09:49:38.615791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:49:38.705190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-08-03 28
100.0%

Interactions

2023-12-11T09:49:35.441215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:49:34.279517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:49:34.689879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:49:35.067541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:49:35.550165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:49:34.392086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:49:34.786425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:49:35.151680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:49:35.636689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:49:34.490235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:49:34.871390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:49:35.251032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:49:35.739081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:49:34.591197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:49:34.959255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:49:35.354296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:49:38.764310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단체명설립연도회원수주소위도경도전화번호
단체명1.0001.0001.0001.0001.0001.0001.000
설립연도1.0001.0000.0000.8810.9040.5780.856
회원수1.0000.0001.0000.9020.0000.7500.936
주소1.0000.8810.9021.0001.0001.0001.000
위도1.0000.9040.0001.0001.0000.7721.000
경도1.0000.5780.7501.0000.7721.0001.000
전화번호1.0000.8560.9361.0001.0001.0001.000
2023-12-11T09:49:38.864877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립연도회원수위도경도
설립연도1.0000.023-0.187-0.149
회원수0.0231.0000.4400.236
위도-0.1870.4401.0000.929
경도-0.1490.2360.9291.000

Missing values

2023-12-11T09:49:35.864486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:49:35.996966image/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.
2023-12-11T09:49:36.093957image/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

단체명설립연도회원수주소위도경도전화번호출처데이터기준일자
0양산문화원1986360경상남도 양산시 북정로 76 (북정동 686)35.358484129.048506055-386-0890기본현황2021-08-03
1관설당서예협회2001500경상남도 양산시 양산대로 84935.344201129.030898055-382-0700기본현황2021-08-03
2한국문인협회 양산지부199350<NA><NA><NA>055-374-3108기본현황2021-08-03
3한국무용협회 양산지부199819<NA><NA><NA>055-366-0009기본현황2021-08-03
4한국음악협회 양산지부200040경상남도 양산시 중앙로 39-135.333623129.03693<NA>기본현황2021-08-03
5한국사진작가협회 양산지부199938경상남도 양산시 상북면 석계리 74-535.415514129.061491055-388-1982기본현황2021-08-03
6한국연예예술인총연합회 양산지회200786경상남도 양산시 장동1길 13-135.345165129.039212055-367-2002기본현황2021-08-03
7한국영화인총연합회 양산지부202054<NA><NA><NA><NA>기본현황2021-08-03
8한국미술협회 양산지부1996120경상남도 양산시 신기서길 535.352832129.038365055-372-5333기본현황2021-08-03
9(사)무궁화예술단199425경상남도 양산시 동면 석산리300 극동(아) 8동 상가 204호35.328648129.036385055-386-4600기본현황2021-08-03
단체명설립연도회원수주소위도경도전화번호출처데이터기준일자
18국악예술단 뫼울200923<NA><NA><NA>070-4107-7940기본현황2021-08-03
19국악예술단 “풍”200425<NA><NA><NA>055-385-5860기본현황2021-08-03
20천성문인협회201633<NA><NA><NA><NA>기본현황2021-08-03
21삽량윈드오케스트라2009103경상남도 양산시 중앙로 39-135.333625129.036931<NA>기본현황2021-08-03
22연우여성합창단200941<NA><NA><NA>055-387-6666기본현황2021-08-03
23양산소년소녀합창단201027<NA><NA><NA><NA>기본현황2021-08-03
24한송예술협회199955경상남도 양산시 하북면 예인길 4735.479916129.076888055-384-1155기본현황2021-08-03
25전국문학인꽃축제 운영위원회2010450<NA><NA><NA>055-385-2101기본현황2021-08-03
26양산윈드오케스트라200131<NA><NA><NA>055-383-0360기본현황2021-08-03
27양산공예협회201444경상남도 양산시 동면 금오16길 122 504동 404호35.364894129.0485810507-1318-0809기본현황2021-08-03