Overview

Dataset statistics

Number of variables9
Number of observations31
Missing cells58
Missing cells (%)20.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory80.3 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 16 (51.6%) missing valuesMissing
위도 has 16 (51.6%) missing valuesMissing
경도 has 16 (51.6%) missing valuesMissing
전화번호 has 10 (32.3%) missing valuesMissing
단체명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:49:27.716109
Analysis finished2023-12-11 00:49:29.678910
Duration1.96 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

단체명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T09:49:29.808660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length9.4193548
Min length5

Characters and Unicode

Total characters292
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

Unique31 ?
Unique (%)100.0%

Sample

1st row양산문화원
2nd row관설당서예협회
3rd row한국예총 양산지회
4th row한국사진작가협회 양산지부
5th row한국문인협회 양산지부
ValueCountFrequency (%)
양산지부 9
 
19.6%
양산지회 2
 
4.3%
국악예술단 2
 
4.3%
양산문화원 1
 
2.2%
전국문학인꽃축제 1
 
2.2%
양산시지회 1
 
2.2%
청라합창단 1
 
2.2%
양산어린이합창단 1
 
2.2%
연우여성합창단 1
 
2.2%
양산소년소녀합창단 1
 
2.2%
Other values (26) 26
56.5%
2023-12-11T09:49:30.103755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 20
 
6.8%
양 18
 
6.2%
18
 
6.2%
산 18
 
6.2%
국 16
 
5.5%
지 13
 
4.5%
한 13
 
4.5%
협 13
 
4.5%
예 11
 
3.8%
부 9
 
3.1%
Other values (72) 143
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 268
91.8%
Space Separator 18
 
6.2%
Close Punctuation 2
 
0.7%
Open Punctuation 2
 
0.7%
Initial Punctuation 1
 
0.3%
Final Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 20
 
7.5%
양 18
 
6.7%
산 18
 
6.7%
국 16
 
6.0%
지 13
 
4.9%
한 13
 
4.9%
협 13
 
4.9%
예 11
 
4.1%
부 9
 
3.4%
단 9
 
3.4%
Other values (67) 128
47.8%
Space Separator
ValueCountFrequency (%)
18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
” 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 268
91.8%
Common 24
 
8.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 20
 
7.5%
양 18
 
6.7%
산 18
 
6.7%
국 16
 
6.0%
지 13
 
4.9%
한 13
 
4.9%
협 13
 
4.9%
예 11
 
4.1%
부 9
 
3.4%
단 9
 
3.4%
Other values (67) 128
47.8%
Common
ValueCountFrequency (%)
18
75.0%
) 2
 
8.3%
( 2
 
8.3%
“ 1
 
4.2%
” 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 268
91.8%
ASCII 22
 
7.5%
Punctuation 2
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 20
 
7.5%
양 18
 
6.7%
산 18
 
6.7%
국 16
 
6.0%
지 13
 
4.9%
한 13
 
4.9%
협 13
 
4.9%
예 11
 
4.1%
부 9
 
3.4%
단 9
 
3.4%
Other values (67) 128
47.8%
ASCII
ValueCountFrequency (%)
18
81.8%
) 2
 
9.1%
( 2
 
9.1%
Punctuation
ValueCountFrequency (%)
“ 1
50.0%
” 1
50.0%

설립연도
Real number (ℝ)

Distinct20
Distinct (%)64.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2004.0323
Minimum1986
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-11T09:49:30.223924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1986
5-th percentile1993.5
Q11999
median2004
Q32009
95-th percentile2015
Maximum2020
Range34
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.327955
Coefficient of variation (CV)0.0036566053
Kurtosis0.15821305
Mean2004.0323
Median Absolute Deviation (MAD)5
Skewness-0.11182174
Sum62125
Variance53.698925
MonotonicityNot monotonic
2023-12-11T09:49:30.330477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
2006 3
 
9.7%
1999 3
 
9.7%
2009 3
 
9.7%
1998 2
 
6.5%
2000 2
 
6.5%
2002 2
 
6.5%
2010 2
 
6.5%
2001 2
 
6.5%
2012 1
 
3.2%
2004 1
 
3.2%
Other values (10) 10
32.3%
ValueCountFrequency (%)
1986 1
 
3.2%
1993 1
 
3.2%
1994 1
 
3.2%
1996 1
 
3.2%
1998 2
6.5%
1999 3
9.7%
2000 2
6.5%
2001 2
6.5%
2002 2
6.5%
2004 1
 
3.2%
ValueCountFrequency (%)
2020 1
 
3.2%
2016 1
 
3.2%
2014 1
 
3.2%
2012 1
 
3.2%
2011 1
 
3.2%
2010 2
6.5%
2009 3
9.7%
2008 1
 
3.2%
2007 1
 
3.2%
2006 3
9.7%

회원수
Real number (ℝ)

Distinct26
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.225806
Minimum18
Maximum500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-11T09:49:30.450462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile19
Q126
median35
Q370.5
95-th percentile444.5
Maximum500
Range482
Interquartile range (IQR)44.5

Descriptive statistics

Standard deviation138.06127
Coefficient of variation (CV)1.4652172
Kurtosis3.6958057
Mean94.225806
Median Absolute Deviation (MAD)12
Skewness2.24467
Sum2921
Variance19060.914
MonotonicityNot monotonic
2023-12-11T09:49:30.583587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
25 3
 
9.7%
19 2
 
6.5%
31 2
 
6.5%
35 2
 
6.5%
360 1
 
3.2%
30 1
 
3.2%
23 1
 
3.2%
103 1
 
3.2%
33 1
 
3.2%
44 1
 
3.2%
Other values (16) 16
51.6%
ValueCountFrequency (%)
18 1
 
3.2%
19 2
6.5%
20 1
 
3.2%
23 1
 
3.2%
25 3
9.7%
27 1
 
3.2%
30 1
 
3.2%
31 2
6.5%
32 1
 
3.2%
33 1
 
3.2%
ValueCountFrequency (%)
500 1
3.2%
450 1
3.2%
439 1
3.2%
360 1
3.2%
120 1
3.2%
113 1
3.2%
103 1
3.2%
86 1
3.2%
55 1
3.2%
54 1
3.2%

주소
Text

MISSING 

Distinct14
Distinct (%)93.3%
Missing16
Missing (%)51.6%
Memory size380.0 B
2023-12-11T09:49:30.778150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length31
Mean length22.066667
Min length15

Characters and Unicode

Total characters331
Distinct characters63
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

Unique13 ?
Unique (%)86.7%

Sample

1st row경상남도 양산시 북정로 76 (북정동 686)
2nd row경상남도 양산시 양산대로 849
3rd row경상남도 양산시 중앙로 39-1 양산문화예술회관 소공연장 3층
4th row경상남도 양산시 상북면 석계리 74-5
5th row경상남도 양산시 중앙로 39-1
ValueCountFrequency (%)
경상남도 15
19.5%
양산시 15
19.5%
중앙로 3
 
3.9%
39-1 3
 
3.9%
동면 2
 
2.6%
76 1
 
1.3%
90 1
 
1.3%
204호 1
 
1.3%
중앙우회로 1
 
1.3%
123 1
 
1.3%
Other values (34) 34
44.2%
2023-12-11T09:49:31.199222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
62
18.7%
산 18
 
5.4%
양 17
 
5.1%
상 17
 
5.1%
남 16
 
4.8%
경 15
 
4.5%
도 15
 
4.5%
시 15
 
4.5%
1 10
 
3.0%
동 9
 
2.7%
Other values (53) 137
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 197
59.5%
Space Separator 62
 
18.7%
Decimal Number 60
 
18.1%
Dash Punctuation 7
 
2.1%
Open Punctuation 2
 
0.6%
Close Punctuation 2
 
0.6%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 18
 
9.1%
양 17
 
8.6%
상 17
 
8.6%
남 16
 
8.1%
경 15
 
7.6%
도 15
 
7.6%
시 15
 
7.6%
동 9
 
4.6%
로 7
 
3.6%
중 6
 
3.0%
Other values (38) 62
31.5%
Decimal Number
ValueCountFrequency (%)
1 10
16.7%
4 8
13.3%
3 7
11.7%
6 7
11.7%
0 6
10.0%
9 5
8.3%
8 5
8.3%
2 5
8.3%
7 4
 
6.7%
5 3
 
5.0%
Space Separator
ValueCountFrequency (%)
62
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
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 197
59.5%
Common 134
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 18
 
9.1%
양 17
 
8.6%
상 17
 
8.6%
남 16
 
8.1%
경 15
 
7.6%
도 15
 
7.6%
시 15
 
7.6%
동 9
 
4.6%
로 7
 
3.6%
중 6
 
3.0%
Other values (38) 62
31.5%
Common
ValueCountFrequency (%)
62
46.3%
1 10
 
7.5%
4 8
 
6.0%
3 7
 
5.2%
- 7
 
5.2%
6 7
 
5.2%
0 6
 
4.5%
9 5
 
3.7%
8 5
 
3.7%
2 5
 
3.7%
Other values (5) 12
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 197
59.5%
ASCII 134
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
62
46.3%
1 10
 
7.5%
4 8
 
6.0%
3 7
 
5.2%
- 7
 
5.2%
6 7
 
5.2%
0 6
 
4.5%
9 5
 
3.7%
8 5
 
3.7%
2 5
 
3.7%
Other values (5) 12
 
9.0%
Hangul
ValueCountFrequency (%)
산 18
 
9.1%
양 17
 
8.6%
상 17
 
8.6%
남 16
 
8.1%
경 15
 
7.6%
도 15
 
7.6%
시 15
 
7.6%
동 9
 
4.6%
로 7
 
3.6%
중 6
 
3.0%
Other values (38) 62
31.5%

위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct15
Distinct (%)100.0%
Missing16
Missing (%)51.6%
Infinite0
Infinite (%)0.0%
Mean35.355037
Minimum35.312504
Maximum35.479916
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-11T09:49:31.301430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.312504
5-th percentile35.323805
Q135.333624
median35.344201
Q335.355658
95-th percentile35.434835
Maximum35.479916
Range0.167412
Interquartile range (IQR)0.022034

Descriptive statistics

Standard deviation0.041530135
Coefficient of variation (CV)0.0011746596
Kurtosis5.8802155
Mean35.355037
Median Absolute Deviation (MAD)0.010578
Skewness2.3364641
Sum530.32556
Variance0.0017247521
MonotonicityNot monotonic
2023-12-11T09:49:31.390140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
35.358484 1
 
3.2%
35.344201 1
 
3.2%
35.334537 1
 
3.2%
35.415514 1
 
3.2%
35.333623 1
 
3.2%
35.340807 1
 
3.2%
35.345165 1
 
3.2%
35.352832 1
 
3.2%
35.328648 1
 
3.2%
35.34719 1
 
3.2%
Other values (5) 5
 
16.1%
(Missing) 16
51.6%
ValueCountFrequency (%)
35.312504 1
3.2%
35.328648 1
3.2%
35.333619 1
3.2%
35.333623 1
3.2%
35.333625 1
3.2%
35.334537 1
3.2%
35.340807 1
3.2%
35.344201 1
3.2%
35.345165 1
3.2%
35.34719 1
3.2%
ValueCountFrequency (%)
35.479916 1
3.2%
35.415514 1
3.2%
35.364894 1
3.2%
35.358484 1
3.2%
35.352832 1
3.2%
35.34719 1
3.2%
35.345165 1
3.2%
35.344201 1
3.2%
35.340807 1
3.2%
35.334537 1
3.2%

경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct15
Distinct (%)100.0%
Missing16
Missing (%)51.6%
Infinite0
Infinite (%)0.0%
Mean129.04036
Minimum129.00647
Maximum129.07689
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-11T09:49:31.494598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.00647
5-th percentile129.02357
Q1129.03644
median129.03693
Q3129.04442
95-th percentile129.06611
Maximum129.07689
Range0.070421
Interquartile range (IQR)0.0079785

Descriptive statistics

Standard deviation0.015379519
Coefficient of variation (CV)0.00011918379
Kurtosis2.7608697
Mean129.04036
Median Absolute Deviation (MAD)0.003408
Skewness0.41669202
Sum1935.6055
Variance0.00023652961
MonotonicityNot monotonic
2023-12-11T09:49:31.643160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
129.048506 1
 
3.2%
129.030898 1
 
3.2%
129.036503 1
 
3.2%
129.061491 1
 
3.2%
129.03693 1
 
3.2%
129.031026 1
 
3.2%
129.039212 1
 
3.2%
129.038365 1
 
3.2%
129.036385 1
 
3.2%
129.040339 1
 
3.2%
Other values (5) 5
 
16.1%
(Missing) 16
51.6%
ValueCountFrequency (%)
129.006467 1
3.2%
129.030898 1
3.2%
129.031026 1
3.2%
129.036385 1
3.2%
129.036503 1
3.2%
129.036929 1
3.2%
129.03693 1
3.2%
129.036931 1
3.2%
129.038365 1
3.2%
129.039212 1
3.2%
ValueCountFrequency (%)
129.076888 1
3.2%
129.061491 1
3.2%
129.048581 1
3.2%
129.048506 1
3.2%
129.040339 1
3.2%
129.039212 1
3.2%
129.038365 1
3.2%
129.036931 1
3.2%
129.03693 1
3.2%
129.036929 1
3.2%

전화번호
Text

MISSING 

Distinct19
Distinct (%)90.5%
Missing10
Missing (%)32.3%
Memory size380.0 B
2023-12-11T09:49:31.850243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.142857
Min length12

Characters and Unicode

Total characters255
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 (%)81.0%

Sample

1st row055-386-0890
2nd row055-382-0700
3rd row055-372-4007
4th row055-388-1982
5th row055-374-3108
ValueCountFrequency (%)
055-383-0360 2
 
9.5%
055-387-6666 2
 
9.5%
055-385-7060 1
 
4.8%
055-386-0890 1
 
4.8%
070-4107-7940 1
 
4.8%
0507-1318-0809 1
 
4.8%
055-385-2101 1
 
4.8%
055-384-1155 1
 
4.8%
055-364-5959 1
 
4.8%
055-362-5283 1
 
4.8%
Other values (9) 9
42.9%
2023-12-11T09:49:32.180075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 50
19.6%
5 49
19.2%
- 42
16.5%
3 29
11.4%
8 20
 
7.8%
6 20
 
7.8%
7 13
 
5.1%
2 9
 
3.5%
1 9
 
3.5%
4 7
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 213
83.5%
Dash Punctuation 42
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 50
23.5%
5 49
23.0%
3 29
13.6%
8 20
 
9.4%
6 20
 
9.4%
7 13
 
6.1%
2 9
 
4.2%
1 9
 
4.2%
4 7
 
3.3%
9 7
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 255
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 50
19.6%
5 49
19.2%
- 42
16.5%
3 29
11.4%
8 20
 
7.8%
6 20
 
7.8%
7 13
 
5.1%
2 9
 
3.5%
1 9
 
3.5%
4 7
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 255
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 50
19.6%
5 49
19.2%
- 42
16.5%
3 29
11.4%
8 20
 
7.8%
6 20
 
7.8%
7 13
 
5.1%
2 9
 
3.5%
1 9
 
3.5%
4 7
 
2.7%

출처
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
기본현황
31 

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 31
100.0%

Length

2023-12-11T09:49:32.315696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:49:32.397914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기본현황 31
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
2020-11-30
31 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-11-30
2nd row2020-11-30
3rd row2020-11-30
4th row2020-11-30
5th row2020-11-30

Common Values

ValueCountFrequency (%)
2020-11-30 31
100.0%

Length

2023-12-11T09:49:32.495186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:49:32.595603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-11-30 31
100.0%

Interactions

2023-12-11T09:49:29.021179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:49:28.010046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:49:28.384453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:49:28.701487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:49:29.103560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:49:28.096036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:49:28.468254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:49:28.777772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:49:29.178313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:49:28.196971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:49:28.542572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:49:28.853096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:49:29.276067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:49:28.297835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:49:28.624545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:49:28.935113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:49:32.931632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단체명설립연도회원수주소위도경도전화번호
단체명1.0001.0001.0001.0001.0001.0001.000
설립연도1.0001.0000.0000.8800.8660.5510.635
회원수1.0000.0001.0000.9360.0000.0000.934
주소1.0000.8800.9361.0001.0001.0001.000
위도1.0000.8660.0001.0001.0000.8091.000
경도1.0000.5510.0001.0000.8091.0001.000
전화번호1.0000.6350.9341.0001.0001.0001.000
2023-12-11T09:49:33.037657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립연도회원수위도경도
설립연도1.000-0.028-0.125-0.107
회원수-0.0281.0000.4290.204
위도-0.1250.4291.0000.839
경도-0.1070.2040.8391.000

Missing values

2023-12-11T09:49:29.412914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:49:29.533334image/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.
2023-12-11T09:49:29.627810image/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)35.358484129.048506055-386-0890기본현황2020-11-30
1관설당서예협회2001500경상남도 양산시 양산대로 84935.344201129.030898055-382-0700기본현황2020-11-30
2한국예총 양산지회1998439경상남도 양산시 중앙로 39-1 양산문화예술회관 소공연장 3층35.334537129.036503055-372-4007기본현황2020-11-30
3한국사진작가협회 양산지부199938경상남도 양산시 상북면 석계리 74-535.415514129.061491055-388-1982기본현황2020-11-30
4한국문인협회 양산지부199350<NA><NA><NA>055-374-3108기본현황2020-11-30
5한국무용협회 양산지부199819<NA><NA><NA>055-366-0009기본현황2020-11-30
6한국음악협회 양산지부200040경상남도 양산시 중앙로 39-135.333623129.03693<NA>기본현황2020-11-30
7한국국악협회 양산지부200232경상남도 양산시 중부동 668-635.340807129.031026<NA>기본현황2020-11-30
8한국연예예술인총연합회 양산지회200786경상남도 양산시 장동1길 13-135.345165129.039212055-367-2002기본현황2020-11-30
9한국영화인총연합회 양산지부202054<NA><NA><NA><NA>기본현황2020-11-30
단체명설립연도회원수주소위도경도전화번호출처데이터기준일자
21연우여성합창단200941<NA><NA><NA>055-387-6666기본현황2020-11-30
22양산소년소녀합창단201027<NA><NA><NA><NA>기본현황2020-11-30
23한송예술협회199955경상남도 양산시 하북면 예인길 4735.479916129.076888055-384-1155기본현황2020-11-30
24전국문학인꽃축제 운영위원회2010450<NA><NA><NA>055-385-2101기본현황2020-11-30
25양산윈드오케스트라200131<NA><NA><NA>055-383-0360기본현황2020-11-30
26양산공예협회201444경상남도 양산시 동면 금오16길 122 504동 404호35.364894129.0485810507-1318-0809기본현황2020-11-30
27천성문인협회201633<NA><NA><NA><NA>기본현황2020-11-30
28삽량윈드오케스트라2009103경상남도 양산시 중앙로 39-135.333625129.036931<NA>기본현황2020-11-30
29국악예술단 뫼울200923<NA><NA><NA>070-4107-7940기본현황2020-11-30
30국악예술단 “풍”200425<NA><NA><NA>055-385-5860기본현황2020-11-30