Overview

Dataset statistics

Number of variables9
Number of observations330
Missing cells192
Missing cells (%)6.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.3 KiB
Average record size in memory75.4 B

Variable types

Numeric3
Categorical2
Text4

Dataset

Description경상남도 함안군 소재 경로당에 대한 데이터로 경상남도 함안군 노인여가복지시설(경로당)의 개소수, 행정구역, 명칭, 도로명주소를 안내합니다.
Author경상남도 함안군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15007639

Alerts

기준일자 has constant value ""Constant
일련번호(실등록수) is highly overall correlated with 읍면High correlation
읍면 is highly overall correlated with 일련번호(실등록수)High correlation
전화번호 has 192 (58.2%) missing valuesMissing
일련번호(실등록수) has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:40:08.356119
Analysis finished2023-12-11 00:40:09.667129
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호(실등록수)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct330
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean165.5
Minimum1
Maximum330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T09:40:09.732759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17.45
Q183.25
median165.5
Q3247.75
95-th percentile313.55
Maximum330
Range329
Interquartile range (IQR)164.5

Descriptive statistics

Standard deviation95.407023
Coefficient of variation (CV)0.57647748
Kurtosis-1.2
Mean165.5
Median Absolute Deviation (MAD)82.5
Skewness0
Sum54615
Variance9102.5
MonotonicityStrictly increasing
2023-12-11T09:40:09.886634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
228 1
 
0.3%
226 1
 
0.3%
225 1
 
0.3%
224 1
 
0.3%
223 1
 
0.3%
222 1
 
0.3%
221 1
 
0.3%
220 1
 
0.3%
219 1
 
0.3%
Other values (320) 320
97.0%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
330 1
0.3%
329 1
0.3%
328 1
0.3%
327 1
0.3%
326 1
0.3%
325 1
0.3%
324 1
0.3%
323 1
0.3%
322 1
0.3%
321 1
0.3%

읍면
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
가야읍
55 
군북면
47 
칠원읍
42 
대산면
37 
법수면
33 
Other values (5)
116 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가야읍 55
16.7%
군북면 47
14.2%
칠원읍 42
12.7%
대산면 37
11.2%
법수면 33
10.0%
칠서면 31
9.4%
산인면 27
8.2%
함안면 26
7.9%
칠북면 21
 
6.4%
여항면 11
 
3.3%

Length

2023-12-11T09:40:10.027201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:40:10.162870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가야읍 55
16.7%
군북면 47
14.2%
칠원읍 42
12.7%
대산면 37
11.2%
법수면 33
10.0%
칠서면 31
9.4%
산인면 27
8.2%
함안면 26
7.9%
칠북면 21
 
6.4%
여항면 11
 
3.3%

마을회관(경로당)명
Text

Distinct315
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-11T09:40:10.437297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length5
Mean length5.7212121
Min length5

Characters and Unicode

Total characters1888
Distinct characters202
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

Unique302 ?
Unique (%)91.5%

Sample

1st row가야경로당
2nd row가야동경로당
3rd row가야부녀경로당
4th row관동경로당
5th row광복동경로당
ValueCountFrequency (%)
경로당 5
 
1.5%
서촌경로당 3
 
0.9%
동촌경로당 3
 
0.9%
대암경로당 2
 
0.6%
응암 2
 
0.6%
오곡경로당 2
 
0.6%
중촌경로당 2
 
0.6%
이곡경로당 2
 
0.6%
유계경로당 2
 
0.6%
덕암경로당 2
 
0.6%
Other values (312) 318
92.7%
2023-12-11T09:40:10.856632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 315
16.7%
로 314
16.6%
경 313
16.6%
동 67
 
3.5%
산 32
 
1.7%
촌 30
 
1.6%
곡 27
 
1.4%
사 26
 
1.4%
장 24
 
1.3%
수 22
 
1.2%
Other values (192) 718
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1870
99.0%
Space Separator 13
 
0.7%
Decimal Number 4
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 315
16.8%
로 314
16.8%
경 313
16.7%
동 67
 
3.6%
산 32
 
1.7%
촌 30
 
1.6%
곡 27
 
1.4%
사 26
 
1.4%
장 24
 
1.3%
수 22
 
1.2%
Other values (188) 700
37.4%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
2 2
50.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1870
99.0%
Common 18
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 315
16.8%
로 314
16.8%
경 313
16.7%
동 67
 
3.6%
산 32
 
1.7%
촌 30
 
1.6%
곡 27
 
1.4%
사 26
 
1.4%
장 24
 
1.3%
수 22
 
1.2%
Other values (188) 700
37.4%
Common
ValueCountFrequency (%)
13
72.2%
1 2
 
11.1%
2 2
 
11.1%
, 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1870
99.0%
ASCII 18
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 315
16.8%
로 314
16.8%
경 313
16.7%
동 67
 
3.6%
산 32
 
1.7%
촌 30
 
1.6%
곡 27
 
1.4%
사 26
 
1.4%
장 24
 
1.3%
수 22
 
1.2%
Other values (188) 700
37.4%
ASCII
ValueCountFrequency (%)
13
72.2%
1 2
 
11.1%
2 2
 
11.1%
, 1
 
5.6%

소재지
Text

Distinct326
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-11T09:40:11.214387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length13.115152
Min length9

Characters and Unicode

Total characters4328
Distinct characters147
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique322 ?
Unique (%)97.6%

Sample

1st row가야읍 방목1길 13-9
2nd row가야읍 왕궁길 170-11
3rd row가야읍 방목1길 13-7
4th row가야읍 관동길 4
5th row가야읍 가야로 144
ValueCountFrequency (%)
가야읍 55
 
5.6%
군북면 47
 
4.8%
칠원면 41
 
4.2%
대산면 37
 
3.8%
법수면 33
 
3.4%
칠서면 31
 
3.2%
산인면 27
 
2.8%
함안면 25
 
2.6%
칠북면 21
 
2.1%
여항면 11
 
1.1%
Other values (458) 651
66.5%
2023-12-11T09:40:11.718715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
649
 
15.0%
1 302
 
7.0%
면 275
 
6.4%
리 241
 
5.6%
- 214
 
4.9%
2 203
 
4.7%
3 133
 
3.1%
5 117
 
2.7%
4 115
 
2.7%
7 113
 
2.6%
Other values (137) 1966
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2077
48.0%
Decimal Number 1354
31.3%
Space Separator 649
 
15.0%
Dash Punctuation 214
 
4.9%
Other Punctuation 34
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 275
 
13.2%
리 241
 
11.6%
칠 94
 
4.5%
산 91
 
4.4%
길 79
 
3.8%
북 76
 
3.7%
가 63
 
3.0%
야 60
 
2.9%
대 56
 
2.7%
읍 55
 
2.6%
Other values (124) 987
47.5%
Decimal Number
ValueCountFrequency (%)
1 302
22.3%
2 203
15.0%
3 133
9.8%
5 117
 
8.6%
4 115
 
8.5%
7 113
 
8.3%
6 109
 
8.1%
8 92
 
6.8%
9 87
 
6.4%
0 83
 
6.1%
Space Separator
ValueCountFrequency (%)
649
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 214
100.0%
Other Punctuation
ValueCountFrequency (%)
, 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2251
52.0%
Hangul 2077
48.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 275
 
13.2%
리 241
 
11.6%
칠 94
 
4.5%
산 91
 
4.4%
길 79
 
3.8%
북 76
 
3.7%
가 63
 
3.0%
야 60
 
2.9%
대 56
 
2.7%
읍 55
 
2.6%
Other values (124) 987
47.5%
Common
ValueCountFrequency (%)
649
28.8%
1 302
13.4%
- 214
 
9.5%
2 203
 
9.0%
3 133
 
5.9%
5 117
 
5.2%
4 115
 
5.1%
7 113
 
5.0%
6 109
 
4.8%
8 92
 
4.1%
Other values (3) 204
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2251
52.0%
Hangul 2077
48.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
649
28.8%
1 302
13.4%
- 214
 
9.5%
2 203
 
9.0%
3 133
 
5.9%
5 117
 
5.2%
4 115
 
5.1%
7 113
 
5.0%
6 109
 
4.8%
8 92
 
4.1%
Other values (3) 204
 
9.1%
Hangul
ValueCountFrequency (%)
면 275
 
13.2%
리 241
 
11.6%
칠 94
 
4.5%
산 91
 
4.4%
길 79
 
3.8%
북 76
 
3.7%
가 63
 
3.0%
야 60
 
2.9%
대 56
 
2.7%
읍 55
 
2.6%
Other values (124) 987
47.5%

건축년도
Real number (ℝ)

Distinct27
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2001.8091
Minimum1979
Maximum2015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T09:40:11.861607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1979
5-th percentile1989
Q11998
median2004
Q32006
95-th percentile2009
Maximum2015
Range36
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.2235392
Coefficient of variation (CV)0.0031089574
Kurtosis0.079903217
Mean2001.8091
Median Absolute Deviation (MAD)3
Skewness-0.80164743
Sum660597
Variance38.73244
MonotonicityNot monotonic
2023-12-11T09:40:11.989690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
2005 42
12.7%
1989 30
 
9.1%
2008 30
 
9.1%
2004 27
 
8.2%
2007 24
 
7.3%
2006 22
 
6.7%
2001 22
 
6.7%
1998 21
 
6.4%
2003 17
 
5.2%
2002 15
 
4.5%
Other values (17) 80
24.2%
ValueCountFrequency (%)
1979 1
 
0.3%
1988 1
 
0.3%
1989 30
9.1%
1991 2
 
0.6%
1992 2
 
0.6%
1993 5
 
1.5%
1994 6
 
1.8%
1995 11
 
3.3%
1996 6
 
1.8%
1997 7
 
2.1%
ValueCountFrequency (%)
2015 1
 
0.3%
2014 2
 
0.6%
2013 1
 
0.3%
2012 3
 
0.9%
2010 7
 
2.1%
2009 10
 
3.0%
2008 30
9.1%
2007 24
7.3%
2006 22
6.7%
2005 42
12.7%

면적(m2)
Real number (ℝ)

Distinct301
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.440445
Minimum15
Maximum499.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T09:40:12.129974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile24.5
Q140.41
median70.54
Q398.69
95-th percentile194.4765
Maximum499.62
Range484.62
Interquartile range (IQR)58.28

Descriptive statistics

Standard deviation68.216495
Coefficient of variation (CV)0.81754711
Kurtosis12.543656
Mean83.440445
Median Absolute Deviation (MAD)29.3
Skewness3.0717492
Sum27535.347
Variance4653.4902
MonotonicityNot monotonic
2023-12-11T09:40:12.282698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24.5 4
 
1.2%
66.0 4
 
1.2%
45.0 3
 
0.9%
54.0 3
 
0.9%
33.6 3
 
0.9%
40.74 2
 
0.6%
99.88 2
 
0.6%
64.8 2
 
0.6%
22.5 2
 
0.6%
34.8 2
 
0.6%
Other values (291) 303
91.8%
ValueCountFrequency (%)
15.0 1
0.3%
20.08 1
0.3%
20.4 1
0.3%
20.64 1
0.3%
20.84 1
0.3%
21.6 1
0.3%
22.0 1
0.3%
22.2 1
0.3%
22.5 2
0.6%
23.72 1
0.3%
ValueCountFrequency (%)
499.62 1
0.3%
469.55 1
0.3%
416.0 1
0.3%
403.0 1
0.3%
400.2 1
0.3%
381.79 1
0.3%
372.0 1
0.3%
319.0 1
0.3%
272.0 1
0.3%
250.5 1
0.3%

대표자
Text

Distinct326
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-11T09:40:12.613142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters990
Distinct characters160
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

Unique323 ?
Unique (%)97.9%

Sample

1st row김인식
2nd row안병옥
3rd row문숙자
4th row안원태
5th row안외생
ValueCountFrequency (%)
심재원 3
 
0.9%
이순기 2
 
0.6%
김정도 2
 
0.6%
조용석 1
 
0.3%
김수갑 1
 
0.3%
안경열 1
 
0.3%
전외문 1
 
0.3%
윤호석 1
 
0.3%
이종규 1
 
0.3%
황견자 1
 
0.3%
Other values (316) 316
95.8%
2023-12-11T09:40:13.087363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 75
 
7.6%
김 51
 
5.2%
조 47
 
4.7%
수 34
 
3.4%
용 26
 
2.6%
박 26
 
2.6%
정 23
 
2.3%
병 22
 
2.2%
호 21
 
2.1%
안 20
 
2.0%
Other values (150) 645
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 990
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 75
 
7.6%
김 51
 
5.2%
조 47
 
4.7%
수 34
 
3.4%
용 26
 
2.6%
박 26
 
2.6%
정 23
 
2.3%
병 22
 
2.2%
호 21
 
2.1%
안 20
 
2.0%
Other values (150) 645
65.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 990
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 75
 
7.6%
김 51
 
5.2%
조 47
 
4.7%
수 34
 
3.4%
용 26
 
2.6%
박 26
 
2.6%
정 23
 
2.3%
병 22
 
2.2%
호 21
 
2.1%
안 20
 
2.0%
Other values (150) 645
65.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 990
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 75
 
7.6%
김 51
 
5.2%
조 47
 
4.7%
수 34
 
3.4%
용 26
 
2.6%
박 26
 
2.6%
정 23
 
2.3%
병 22
 
2.2%
호 21
 
2.1%
안 20
 
2.0%
Other values (150) 645
65.2%

전화번호
Text

MISSING 

Distinct137
Distinct (%)99.3%
Missing192
Missing (%)58.2%
Memory size2.7 KiB
2023-12-11T09:40:13.327024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.985507
Min length10

Characters and Unicode

Total characters1654
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

Unique136 ?
Unique (%)98.6%

Sample

1st row055-583-2415
2nd row055-583-5738
3rd row055-583-2788
4th row055-584-1691
5th row055-582-0124
ValueCountFrequency (%)
055-587-7522 2
 
1.4%
055-586-7051 1
 
0.7%
055-587-1615 1
 
0.7%
055-587-1383 1
 
0.7%
055-587-3952 1
 
0.7%
055-587-4075 1
 
0.7%
055-586-3535 1
 
0.7%
055-587-3408 1
 
0.7%
055-587-6633 1
 
0.7%
055-584-1082 1
 
0.7%
Other values (127) 127
92.0%
2023-12-11T09:40:13.757341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 485
29.3%
- 275
16.6%
0 203
12.3%
8 182
 
11.0%
3 131
 
7.9%
7 99
 
6.0%
2 81
 
4.9%
4 56
 
3.4%
1 54
 
3.3%
6 49
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1379
83.4%
Dash Punctuation 275
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 485
35.2%
0 203
14.7%
8 182
 
13.2%
3 131
 
9.5%
7 99
 
7.2%
2 81
 
5.9%
4 56
 
4.1%
1 54
 
3.9%
6 49
 
3.6%
9 39
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 275
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1654
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 485
29.3%
- 275
16.6%
0 203
12.3%
8 182
 
11.0%
3 131
 
7.9%
7 99
 
6.0%
2 81
 
4.9%
4 56
 
3.4%
1 54
 
3.3%
6 49
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1654
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 485
29.3%
- 275
16.6%
0 203
12.3%
8 182
 
11.0%
3 131
 
7.9%
7 99
 
6.0%
2 81
 
4.9%
4 56
 
3.4%
1 54
 
3.3%
6 49
 
3.0%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2019-02-12
330 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-02-12
2nd row2019-02-12
3rd row2019-02-12
4th row2019-02-12
5th row2019-02-12

Common Values

ValueCountFrequency (%)
2019-02-12 330
100.0%

Length

2023-12-11T09:40:13.980077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:40:14.102298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-02-12 330
100.0%

Interactions

2023-12-11T09:40:09.246193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:40:08.728471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:40:08.975330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:40:09.320073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:40:08.804039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:40:09.070812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:40:09.393137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:40:08.899100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:40:09.166692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:40:14.158990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호(실등록수)읍면건축년도면적(m2)
일련번호(실등록수)1.0000.9860.2310.390
읍면0.9861.0000.3390.434
건축년도0.2310.3391.0000.259
면적(m2)0.3900.4340.2591.000
2023-12-11T09:40:14.247061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호(실등록수)건축년도면적(m2)읍면
일련번호(실등록수)1.0000.021-0.2070.789
건축년도0.0211.000-0.1980.158
면적(m2)-0.207-0.1981.0000.145
읍면0.7890.1580.1451.000

Missing values

2023-12-11T09:40:09.497024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:40:09.613739image/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

일련번호(실등록수)읍면마을회관(경로당)명소재지건축년도면적(m2)대표자전화번호기준일자
01가야읍가야경로당가야읍 방목1길 13-92007172.84김인식055-583-24152019-02-12
12가야읍가야동경로당가야읍 왕궁길 170-11199498.8안병옥055-583-57382019-02-12
23가야읍가야부녀경로당가야읍 방목1길 13-7200559.88문숙자055-583-27882019-02-12
34가야읍관동경로당가야읍 관동길 4199556.1안원태<NA>2019-02-12
45가야읍광복동경로당가야읍 가야로 144200493.34안외생055-584-16912019-02-12
56가야읍괘안경로당가야읍 산암1길 791998132.38박용주<NA>2019-02-12
67가야읍남경아파트경로당가야읍 가야17길 15199949.5조봉기<NA>2019-02-12
78가야읍남문경로당가야읍 남문길 6-23200745.0박덕근055-582-01242019-02-12
89가야읍남선아파트경로당가야읍 도항2길 6199981.0김복이055-583-20302019-02-12
910가야읍당산동경로당가야읍 도항1길 46-5198986.0김임석055-583-96172019-02-12
일련번호(실등록수)읍면마을회관(경로당)명소재지건축년도면적(m2)대표자전화번호기준일자
320321여항면내곡노인회여항면 내곡리 257-131989107.04이필대055-582-21162019-02-12
321322여항면대산경로당여항면 주서리 244-21998102.7조용석055-582-09772019-02-12
322323여항면대촌경로당여항면 주서리 269199854.72이병용055-582-23462019-02-12
323324여항면별천경로당여항면 주동리678,683,1413-2200683.4이순향055-582-24082019-02-12
324325여항면봉곡경로당여항면 내곡리 680-1199839.8전병철055-583-77892019-02-12
325326여항면상별래경로당여항면 주동리 1242200738.92안상원055-583-19622019-02-12
326327여항면양촌경로당여항면 외암리 169-1199820.64김창화055-583-29952019-02-12
327328여항면음촌경로당여항면 외암리 345199815.0안기성055-582-25372019-02-12
328329여항면좌촌경로당여항면 주서리 735-2199829.16이병호055-583-19952019-02-12
329330여항면청암경로당여항면 외암리 681,682200020.08이원상055-582-25842019-02-12