Overview

Dataset statistics

Number of variables7
Number of observations5837
Missing cells2
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory330.7 KiB
Average record size in memory58.0 B

Variable types

Numeric2
Categorical1
Text4

Dataset

Description충청남도 시군에 등록된 경로당 주소, 설치년도, 관리자, 회원수에 대한 데이터로 경로당과 관련된 정보를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=400&beforeMenuCd=DOM_000000201001001000&publicdatapk=15032213

Alerts

연번 is highly overall correlated with 시군High correlation
시군 is highly overall correlated with 연번High correlation
회원수 is highly skewed (γ1 = 69.13538465)Skewed
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:54:53.518368
Analysis finished2024-01-09 20:54:54.915198
Duration1.4 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct5837
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2919
Minimum1
Maximum5837
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size51.4 KiB
2024-01-10T05:54:54.976977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile292.8
Q11460
median2919
Q34378
95-th percentile5545.2
Maximum5837
Range5836
Interquartile range (IQR)2918

Descriptive statistics

Standard deviation1685.1411
Coefficient of variation (CV)0.57730082
Kurtosis-1.2
Mean2919
Median Absolute Deviation (MAD)1459
Skewness0
Sum17038203
Variance2839700.5
MonotonicityStrictly increasing
2024-01-10T05:54:55.100614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3900 1
 
< 0.1%
3898 1
 
< 0.1%
3897 1
 
< 0.1%
3896 1
 
< 0.1%
3895 1
 
< 0.1%
3894 1
 
< 0.1%
3893 1
 
< 0.1%
3892 1
 
< 0.1%
3891 1
 
< 0.1%
Other values (5827) 5827
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
5837 1
< 0.1%
5836 1
< 0.1%
5835 1
< 0.1%
5834 1
< 0.1%
5833 1
< 0.1%
5832 1
< 0.1%
5831 1
< 0.1%
5830 1
< 0.1%
5829 1
< 0.1%
5828 1
< 0.1%

시군
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
천안시
741 
아산시
527 
논산시
518 
부여군
464 
공주시
430 
Other values (10)
3157 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
천안시 741
12.7%
아산시 527
9.0%
논산시 518
8.9%
부여군 464
 
7.9%
공주시 430
 
7.4%
보령시 412
 
7.1%
서산시 387
 
6.6%
예산군 381
 
6.5%
홍성군 371
 
6.4%
당진시 345
 
5.9%
Other values (5) 1261
21.6%

Length

2024-01-10T05:54:55.219092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
천안시 741
12.7%
아산시 527
9.0%
논산시 518
8.9%
부여군 464
 
7.9%
공주시 430
 
7.4%
보령시 412
 
7.1%
서산시 387
 
6.6%
예산군 381
 
6.5%
홍성군 371
 
6.4%
당진시 345
 
5.9%
Other values (5) 1261
21.6%

경로당명
Text

Distinct5657
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
2024-01-10T05:54:55.461067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length7.7478157
Min length2

Characters and Unicode

Total characters45224
Distinct characters515
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5504 ?
Unique (%)94.3%

Sample

1st row대한노인회성환읍분회
2nd row성환1리
3rd row성환3리(노인건강쉼터)
4th row성환4리
5th row성환5리
ValueCountFrequency (%)
경로당 1987
 
24.4%
아파트 35
 
0.4%
노인회 26
 
0.3%
노인정 14
 
0.2%
대한노인회 11
 
0.1%
배방 9
 
0.1%
휴먼시아 9
 
0.1%
분회 6
 
0.1%
신촌경로당 6
 
0.1%
신리 5
 
0.1%
Other values (5723) 6038
74.1%
2024-01-10T05:54:55.874681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 5064
 
11.2%
경 4934
 
10.9%
로 4906
 
10.8%
리 3721
 
8.2%
2484
 
5.5%
1 1393
 
3.1%
2 1341
 
3.0%
) 614
 
1.4%
( 614
 
1.4%
3 558
 
1.2%
Other values (505) 19595
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37378
82.7%
Decimal Number 3909
 
8.6%
Space Separator 2484
 
5.5%
Close Punctuation 614
 
1.4%
Open Punctuation 614
 
1.4%
Uppercase Letter 127
 
0.3%
Other Punctuation 86
 
0.2%
Lowercase Letter 8
 
< 0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 5064
 
13.5%
경 4934
 
13.2%
로 4906
 
13.1%
리 3721
 
10.0%
동 550
 
1.5%
아 509
 
1.4%
산 503
 
1.3%
신 499
 
1.3%
통 479
 
1.3%
대 407
 
1.1%
Other values (472) 15806
42.3%
Uppercase Letter
ValueCountFrequency (%)
A 71
55.9%
L 11
 
8.7%
T 11
 
8.7%
H 10
 
7.9%
P 9
 
7.1%
S 5
 
3.9%
K 3
 
2.4%
X 2
 
1.6%
N 2
 
1.6%
E 1
 
0.8%
Other values (2) 2
 
1.6%
Decimal Number
ValueCountFrequency (%)
1 1393
35.6%
2 1341
34.3%
3 558
14.3%
4 230
 
5.9%
5 136
 
3.5%
6 84
 
2.1%
7 62
 
1.6%
8 53
 
1.4%
9 33
 
0.8%
0 19
 
0.5%
Other Punctuation
ValueCountFrequency (%)
@ 39
45.3%
, 24
27.9%
. 14
 
16.3%
· 6
 
7.0%
: 2
 
2.3%
? 1
 
1.2%
Space Separator
ValueCountFrequency (%)
2484
100.0%
Close Punctuation
ValueCountFrequency (%)
) 614
100.0%
Open Punctuation
ValueCountFrequency (%)
( 614
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37378
82.7%
Common 7711
 
17.1%
Latin 135
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 5064
 
13.5%
경 4934
 
13.2%
로 4906
 
13.1%
리 3721
 
10.0%
동 550
 
1.5%
아 509
 
1.4%
산 503
 
1.3%
신 499
 
1.3%
통 479
 
1.3%
대 407
 
1.1%
Other values (472) 15806
42.3%
Common
ValueCountFrequency (%)
2484
32.2%
1 1393
18.1%
2 1341
17.4%
) 614
 
8.0%
( 614
 
8.0%
3 558
 
7.2%
4 230
 
3.0%
5 136
 
1.8%
6 84
 
1.1%
7 62
 
0.8%
Other values (10) 195
 
2.5%
Latin
ValueCountFrequency (%)
A 71
52.6%
L 11
 
8.1%
T 11
 
8.1%
H 10
 
7.4%
P 9
 
6.7%
e 8
 
5.9%
S 5
 
3.7%
K 3
 
2.2%
X 2
 
1.5%
N 2
 
1.5%
Other values (3) 3
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37378
82.7%
ASCII 7840
 
17.3%
None 6
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 5064
 
13.5%
경 4934
 
13.2%
로 4906
 
13.1%
리 3721
 
10.0%
동 550
 
1.5%
아 509
 
1.4%
산 503
 
1.3%
신 499
 
1.3%
통 479
 
1.3%
대 407
 
1.1%
Other values (472) 15806
42.3%
ASCII
ValueCountFrequency (%)
2484
31.7%
1 1393
17.8%
2 1341
17.1%
) 614
 
7.8%
( 614
 
7.8%
3 558
 
7.1%
4 230
 
2.9%
5 136
 
1.7%
6 84
 
1.1%
A 71
 
0.9%
Other values (22) 315
 
4.0%
None
ValueCountFrequency (%)
· 6
100.0%

소재지(주소)
Text

Distinct5757
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
2024-01-10T05:54:56.201741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length43
Mean length21.736337
Min length8

Characters and Unicode

Total characters126875
Distinct characters551
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5679 ?
Unique (%)97.3%

Sample

1st row충청남도 천안시 서북구 성환읍 성환8길 19
2nd row충청남도 천안시 서북구 성환읍 성환14길 13-4
3rd row충청남도 천안시 서북구 성환읍 성환시장길 9
4th row충청남도 천안시 서북구 성환읍 성환16길 12
5th row충청남도 천안시 서북구 성환읍 성환11길 35-14
ValueCountFrequency (%)
충청남도 4942
 
17.6%
천안시 741
 
2.6%
아산시 525
 
1.9%
논산시 518
 
1.8%
공주시 430
 
1.5%
보령시 412
 
1.5%
서산시 387
 
1.4%
동남구 386
 
1.4%
예산군 381
 
1.4%
홍성군 371
 
1.3%
Other values (7235) 19049
67.7%
2024-01-10T05:54:56.655492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22969
 
18.1%
남 5797
 
4.6%
청 5461
 
4.3%
충 5157
 
4.1%
도 5136
 
4.0%
1 4649
 
3.7%
길 4273
 
3.4%
면 3905
 
3.1%
시 3557
 
2.8%
산 3419
 
2.7%
Other values (541) 62552
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 79660
62.8%
Space Separator 22969
 
18.1%
Decimal Number 20492
 
16.2%
Dash Punctuation 1869
 
1.5%
Open Punctuation 749
 
0.6%
Close Punctuation 749
 
0.6%
Other Punctuation 313
 
0.2%
Uppercase Letter 69
 
0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 5797
 
7.3%
청 5461
 
6.9%
충 5157
 
6.5%
도 5136
 
6.4%
길 4273
 
5.4%
면 3905
 
4.9%
시 3557
 
4.5%
산 3419
 
4.3%
로 2731
 
3.4%
군 2028
 
2.5%
Other values (513) 38196
47.9%
Decimal Number
ValueCountFrequency (%)
1 4649
22.7%
2 2962
14.5%
3 2376
11.6%
4 1863
9.1%
5 1728
 
8.4%
6 1535
 
7.5%
7 1489
 
7.3%
8 1373
 
6.7%
0 1282
 
6.3%
9 1235
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
A 52
75.4%
B 5
 
7.2%
L 3
 
4.3%
S 3
 
4.3%
H 2
 
2.9%
K 2
 
2.9%
G 1
 
1.4%
D 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
, 260
83.1%
@ 46
 
14.7%
. 4
 
1.3%
? 2
 
0.6%
" 1
 
0.3%
Space Separator
ValueCountFrequency (%)
22969
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1869
100.0%
Open Punctuation
ValueCountFrequency (%)
( 749
100.0%
Close Punctuation
ValueCountFrequency (%)
) 749
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 79659
62.8%
Common 47141
37.2%
Latin 74
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 5797
 
7.3%
청 5461
 
6.9%
충 5157
 
6.5%
도 5136
 
6.4%
길 4273
 
5.4%
면 3905
 
4.9%
시 3557
 
4.5%
산 3419
 
4.3%
로 2731
 
3.4%
군 2028
 
2.5%
Other values (512) 38195
47.9%
Common
ValueCountFrequency (%)
22969
48.7%
1 4649
 
9.9%
2 2962
 
6.3%
3 2376
 
5.0%
- 1869
 
4.0%
4 1863
 
4.0%
5 1728
 
3.7%
6 1535
 
3.3%
7 1489
 
3.2%
8 1373
 
2.9%
Other values (9) 4328
 
9.2%
Latin
ValueCountFrequency (%)
A 52
70.3%
B 5
 
6.8%
e 5
 
6.8%
L 3
 
4.1%
S 3
 
4.1%
H 2
 
2.7%
K 2
 
2.7%
G 1
 
1.4%
D 1
 
1.4%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 79659
62.8%
ASCII 47215
37.2%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22969
48.6%
1 4649
 
9.8%
2 2962
 
6.3%
3 2376
 
5.0%
- 1869
 
4.0%
4 1863
 
3.9%
5 1728
 
3.7%
6 1535
 
3.3%
7 1489
 
3.2%
8 1373
 
2.9%
Other values (18) 4402
 
9.3%
Hangul
ValueCountFrequency (%)
남 5797
 
7.3%
청 5461
 
6.9%
충 5157
 
6.5%
도 5136
 
6.4%
길 4273
 
5.4%
면 3905
 
4.9%
시 3557
 
4.5%
산 3419
 
4.3%
로 2731
 
3.4%
군 2028
 
2.5%
Other values (512) 38195
47.9%
CJK
ValueCountFrequency (%)
內 1
100.0%

경로당 설치년도
Text

Distinct59
Distinct (%)1.0%
Missing2
Missing (%)< 0.1%
Memory size45.7 KiB
2024-01-10T05:54:56.850213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.9953728
Min length1

Characters and Unicode

Total characters23313
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

Unique6 ?
Unique (%)0.1%

Sample

1st row1984
2nd row2003
3rd row1980
4th row1995
5th row1988
ValueCountFrequency (%)
2007 530
 
9.1%
1989 430
 
7.4%
1995 388
 
6.6%
2008 387
 
6.6%
2000 254
 
4.4%
1997 234
 
4.0%
1996 225
 
3.9%
2004 219
 
3.8%
1998 218
 
3.7%
2011 210
 
3.6%
Other values (49) 2740
47.0%
2024-01-10T05:54:57.162435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6195
26.6%
9 5181
22.2%
1 3845
16.5%
2 3763
16.1%
8 1334
 
5.7%
7 952
 
4.1%
5 670
 
2.9%
6 493
 
2.1%
4 464
 
2.0%
3 407
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23304
> 99.9%
Dash Punctuation 9
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6195
26.6%
9 5181
22.2%
1 3845
16.5%
2 3763
16.1%
8 1334
 
5.7%
7 952
 
4.1%
5 670
 
2.9%
6 493
 
2.1%
4 464
 
2.0%
3 407
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23313
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6195
26.6%
9 5181
22.2%
1 3845
16.5%
2 3763
16.1%
8 1334
 
5.7%
7 952
 
4.1%
5 670
 
2.9%
6 493
 
2.1%
4 464
 
2.0%
3 407
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23313
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6195
26.6%
9 5181
22.2%
1 3845
16.5%
2 3763
16.1%
8 1334
 
5.7%
7 952
 
4.1%
5 670
 
2.9%
6 493
 
2.1%
4 464
 
2.0%
3 407
 
1.7%

관리자
Text

Distinct92
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
2024-01-10T05:54:57.394356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters17511
Distinct characters93
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

Unique0 ?
Unique (%)0.0%

Sample

1st row김수윤
2nd row김수윤
3rd row김수윤
4th row김수윤
5th row김수윤
ValueCountFrequency (%)
유소이 527
 
9.0%
원종남 430
 
7.4%
유은자 412
 
7.1%
권지영 387
 
6.6%
유선숙 381
 
6.5%
김효태 371
 
6.4%
윤은상 345
 
5.9%
박진수 338
 
5.8%
서창욱 236
 
4.0%
김수윤 72
 
1.2%
Other values (82) 2338
40.1%
2024-01-10T05:54:57.725170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 1459
 
8.3%
김 1006
 
5.7%
이 901
 
5.1%
은 865
 
4.9%
수 616
 
3.5%
지 598
 
3.4%
영 585
 
3.3%
소 566
 
3.2%
원 564
 
3.2%
숙 520
 
3.0%
Other values (83) 9831
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17511
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 1459
 
8.3%
김 1006
 
5.7%
이 901
 
5.1%
은 865
 
4.9%
수 616
 
3.5%
지 598
 
3.4%
영 585
 
3.3%
소 566
 
3.2%
원 564
 
3.2%
숙 520
 
3.0%
Other values (83) 9831
56.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17511
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 1459
 
8.3%
김 1006
 
5.7%
이 901
 
5.1%
은 865
 
4.9%
수 616
 
3.5%
지 598
 
3.4%
영 585
 
3.3%
소 566
 
3.2%
원 564
 
3.2%
숙 520
 
3.0%
Other values (83) 9831
56.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17511
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 1459
 
8.3%
김 1006
 
5.7%
이 901
 
5.1%
은 865
 
4.9%
수 616
 
3.5%
지 598
 
3.4%
영 585
 
3.3%
소 566
 
3.2%
원 564
 
3.2%
숙 520
 
3.0%
Other values (83) 9831
56.1%

회원수
Real number (ℝ)

SKEWED 

Distinct145
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.576495
Minimum0
Maximum15050
Zeros21
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size51.4 KiB
2024-01-10T05:54:58.074640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17
Q127
median36
Q350
95-th percentile77
Maximum15050
Range15050
Interquartile range (IQR)23

Descriptive statistics

Standard deviation203.39688
Coefficient of variation (CV)4.4627583
Kurtosis5078.7761
Mean45.576495
Median Absolute Deviation (MAD)11
Skewness69.135385
Sum266030
Variance41370.29
MonotonicityNot monotonic
2024-01-10T05:54:58.200378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 388
 
6.6%
30 226
 
3.9%
25 197
 
3.4%
20 173
 
3.0%
35 172
 
2.9%
40 170
 
2.9%
31 148
 
2.5%
28 139
 
2.4%
27 138
 
2.4%
36 138
 
2.4%
Other values (135) 3948
67.6%
ValueCountFrequency (%)
0 21
0.4%
2 1
 
< 0.1%
3 1
 
< 0.1%
8 1
 
< 0.1%
9 2
 
< 0.1%
10 12
 
0.2%
11 22
0.4%
12 20
0.3%
13 35
0.6%
14 31
0.5%
ValueCountFrequency (%)
15050 1
 
< 0.1%
1650 1
 
< 0.1%
1506 1
 
< 0.1%
1505 1
 
< 0.1%
1502 1
 
< 0.1%
779 1
 
< 0.1%
774 1
 
< 0.1%
590 1
 
< 0.1%
550 5
0.1%
450 8
0.1%

Interactions

2024-01-10T05:54:54.561042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:54:54.398109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:54:54.649207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:54:54.472036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:54:58.286132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시군경로당 설치년도관리자회원수
연번1.0000.9820.6970.9950.047
시군0.9821.0000.7861.0000.080
경로당 설치년도0.6970.7861.0000.8060.000
관리자0.9951.0000.8061.0000.000
회원수0.0470.0800.0000.0001.000
2024-01-10T05:54:58.373023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번회원수시군
연번1.0000.1100.861
회원수0.1101.0000.036
시군0.8610.0361.000

Missing values

2024-01-10T05:54:54.765091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:54:54.868542image/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

연번시군경로당명소재지(주소)경로당 설치년도관리자회원수
01천안시대한노인회성환읍분회충청남도 천안시 서북구 성환읍 성환8길 191984김수윤33
12천안시성환1리충청남도 천안시 서북구 성환읍 성환14길 13-42003김수윤45
23천안시성환3리(노인건강쉼터)충청남도 천안시 서북구 성환읍 성환시장길 91980김수윤29
34천안시성환4리충청남도 천안시 서북구 성환읍 성환16길 121995김수윤71
45천안시성환5리충청남도 천안시 서북구 성환읍 성환11길 35-141988김수윤95
56천안시성환6리충청남도 천안시 서북구 성환읍 성환3로 461987김수윤69
67천안시성환7리충청남도 천안시 서북구 성환읍 성환4길 351982김수윤51
78천안시성환8리충청남도 천안시 서북구 성환읍 성환21길 231982김수윤64
89천안시성환9리충청남도 천안시 서북구 성환읍 성환중앙로 86-11996김수윤42
910천안시성환10리충청남도 천안시 서북구 성환읍 성환18길 11-451988김수윤49
연번시군경로당명소재지(주소)경로당 설치년도관리자회원수
58275828태안군진산경로당충청남도 태안군 남면 연꽃길 3542015서창욱84
58285829태안군동문4리경로당충청남도 태안군 태안읍 재경미길 642016서창욱30
58295830태안군태안삼성아파트경로당충청남도 태안군 태안읍 환동로 18-32016서창욱48
58305831태안군남문3리경로당충청남도 태안군 태안읍 남문3리 686-92019서창욱21
58315832태안군태안동문이테크경로당충청남도 태안군 태안읍 동평로 45 동문코아루@2019서창욱12
58325833태안군아치내경로당충청남도 태안군 소원면 아치내길 184-162012서창욱28
58335834태안군남문미소지움아파트경로당충청남도 태안군 태안읍 환동로 43-122021서창욱24
58345835태안군낭금경로당충청남도 태안군 근흥면 낭금길 231-52021서창욱24
58355836태안군오리나무골경로당충청남도 태안군 근흥면 근흥로 850-122021서창욱29
58365837태안군신온1리올메기경로당충청남도 태안군 남면 마검포길 313-13<NA>서창욱30