Overview

Dataset statistics

Number of variables17
Number of observations7582
Missing cells7382
Missing cells (%)5.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 MiB
Average record size in memory143.0 B

Variable types

Numeric4
Categorical7
Text1
Boolean2
DateTime3

Dataset

Description부산추모공원 봉안당 봉안호실, 봉안유형, 실구분, 호구분, 행위치, 열위치, 사용여부, 기타위치, 감면구분, 시작일자, 만료일자, 반환여부, 봉안일자 등 고인 유골함 안치현황 정보
Author부산시설공단
URLhttps://www.data.go.kr/data/15042470/fileData.do

Alerts

사용여부 has constant value ""Constant
기타위치 is highly overall correlated with 호구분 and 4 other fieldsHigh correlation
관리비 is highly overall correlated with 호구분 and 4 other fieldsHigh correlation
봉안시설 is highly overall correlated with 호구분 and 4 other fieldsHigh correlation
사용료 is highly overall correlated with 호구분 and 4 other fieldsHigh correlation
총금액 is highly overall correlated with 호구분 and 4 other fieldsHigh correlation
봉안관리번호 is highly overall correlated with 호구분High correlation
호구분 is highly overall correlated with 봉안관리번호 and 5 other fieldsHigh correlation
봉안시설 is highly imbalanced (55.2%)Imbalance
봉안유형 is highly imbalanced (80.7%)Imbalance
기타위치 is highly imbalanced (75.0%)Imbalance
감면구분 is highly imbalanced (69.2%)Imbalance
반환여부 is highly imbalanced (82.4%)Imbalance
사용료 is highly imbalanced (60.0%)Imbalance
관리비 is highly imbalanced (60.0%)Imbalance
총금액 is highly imbalanced (60.0%)Imbalance
반환일자 has 7382 (97.4%) missing valuesMissing
봉안관리번호 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:55:13.294189
Analysis finished2024-04-06 08:55:20.592338
Duration7.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

봉안관리번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct7582
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.01904 × 108
Minimum2.019 × 108
Maximum2.0190792 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size66.8 KiB
2024-04-06T17:55:20.768366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.019 × 108
5-th percentile2.0190041 × 108
Q12.0190208 × 108
median2.0190402 × 108
Q32.0190596 × 108
95-th percentile2.0190751 × 108
Maximum2.0190792 × 108
Range7916
Interquartile range (IQR)3883.25

Descriptive statistics

Standard deviation2272.2819
Coefficient of variation (CV)1.1254269 × 10-5
Kurtosis-1.1790508
Mean2.01904 × 108
Median Absolute Deviation (MAD)1941.5
Skewness-0.029467178
Sum1.5308361 × 1012
Variance5163264.9
MonotonicityNot monotonic
2024-04-06T17:55:21.077042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201905777 1
 
< 0.1%
201906226 1
 
< 0.1%
201906238 1
 
< 0.1%
201906237 1
 
< 0.1%
201906236 1
 
< 0.1%
201906235 1
 
< 0.1%
201906233 1
 
< 0.1%
201906232 1
 
< 0.1%
201906231 1
 
< 0.1%
201906230 1
 
< 0.1%
Other values (7572) 7572
99.9%
ValueCountFrequency (%)
201900001 1
< 0.1%
201900002 1
< 0.1%
201900003 1
< 0.1%
201900004 1
< 0.1%
201900005 1
< 0.1%
201900006 1
< 0.1%
201900007 1
< 0.1%
201900008 1
< 0.1%
201900009 1
< 0.1%
201900010 1
< 0.1%
ValueCountFrequency (%)
201907917 1
< 0.1%
201907916 1
< 0.1%
201907915 1
< 0.1%
201907914 1
< 0.1%
201907913 1
< 0.1%
201907912 1
< 0.1%
201907911 1
< 0.1%
201907910 1
< 0.1%
201907909 1
< 0.1%
201907908 1
< 0.1%

봉안시설
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size59.4 KiB
봉안당
6529 
벽식봉안담
694 
가족봉안묘
 
359

Length

Max length5
Median length3
Mean length3.2777631
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
봉안당 6529
86.1%
벽식봉안담 694
 
9.2%
가족봉안묘 359
 
4.7%

Length

2024-04-06T17:55:21.388525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:55:21.593979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
봉안당 6529
86.1%
벽식봉안담 694
 
9.2%
가족봉안묘 359
 
4.7%

봉안유형
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size59.4 KiB
봉안(일반)
7191 
부부합장
 
376
번호이장
 
15

Length

Max length6
Median length6
Mean length5.896861
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
봉안(일반) 7191
94.8%
부부합장 376
 
5.0%
번호이장 15
 
0.2%

Length

2024-04-06T17:55:21.816157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:55:22.040245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
봉안(일반 7191
94.8%
부부합장 376
 
5.0%
번호이장 15
 
0.2%

실구분
Text

Distinct103
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size59.4 KiB
2024-04-06T17:55:22.372982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0328409
Min length1

Characters and Unicode

Total characters22995
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)0.6%

Sample

1st row1
2nd row4
3rd row5
4th row5
5th row9
ValueCountFrequency (%)
150 568
 
7.5%
138 504
 
6.6%
140 480
 
6.3%
143 480
 
6.3%
148 472
 
6.2%
139 457
 
6.0%
147 456
 
6.0%
144 456
 
6.0%
146 448
 
5.9%
145 448
 
5.9%
Other values (93) 2813
37.1%
2024-04-06T17:55:23.012841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 7809
34.0%
4 5248
22.8%
3 1952
 
8.5%
0 1821
 
7.9%
5 1335
 
5.8%
8 1094
 
4.8%
7 1008
 
4.4%
9 880
 
3.8%
6 660
 
2.9%
2 494
 
2.1%
Other values (2) 694
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22301
97.0%
Other Letter 694
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 7809
35.0%
4 5248
23.5%
3 1952
 
8.8%
0 1821
 
8.2%
5 1335
 
6.0%
8 1094
 
4.9%
7 1008
 
4.5%
9 880
 
3.9%
6 660
 
3.0%
2 494
 
2.2%
Other Letter
ValueCountFrequency (%)
가 388
55.9%
마 306
44.1%

Most occurring scripts

ValueCountFrequency (%)
Common 22301
97.0%
Hangul 694
 
3.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 7809
35.0%
4 5248
23.5%
3 1952
 
8.8%
0 1821
 
8.2%
5 1335
 
6.0%
8 1094
 
4.9%
7 1008
 
4.5%
9 880
 
3.9%
6 660
 
3.0%
2 494
 
2.2%
Hangul
ValueCountFrequency (%)
가 388
55.9%
마 306
44.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22301
97.0%
Hangul 694
 
3.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 7809
35.0%
4 5248
23.5%
3 1952
 
8.8%
0 1821
 
8.2%
5 1335
 
6.0%
8 1094
 
4.9%
7 1008
 
4.5%
9 880
 
3.9%
6 660
 
3.0%
2 494
 
2.2%
Hangul
ValueCountFrequency (%)
가 388
55.9%
마 306
44.1%

호구분
Real number (ℝ)

HIGH CORRELATION 

Distinct6906
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59715.979
Minimum1
Maximum73144
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size66.8 KiB
2024-04-06T17:55:23.256767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile22
Q167459.25
median69353.5
Q371248.75
95-th percentile72764.95
Maximum73144
Range73143
Interquartile range (IQR)3789.5

Descriptive statistics

Standard deviation24498.478
Coefficient of variation (CV)0.41024996
Kurtosis1.9842907
Mean59715.979
Median Absolute Deviation (MAD)1895
Skewness-1.9781729
Sum4.5276656 × 108
Variance6.0017542 × 108
MonotonicityNot monotonic
2024-04-06T17:55:23.512705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 20
 
0.3%
9 20
 
0.3%
15 19
 
0.3%
16 19
 
0.3%
25 19
 
0.3%
7 19
 
0.3%
12 18
 
0.2%
10 18
 
0.2%
14 18
 
0.2%
23 18
 
0.2%
Other values (6896) 7394
97.5%
ValueCountFrequency (%)
1 18
0.2%
2 17
0.2%
3 18
0.2%
4 17
0.2%
5 18
0.2%
6 16
0.2%
7 19
0.3%
8 20
0.3%
9 20
0.3%
10 18
0.2%
ValueCountFrequency (%)
73144 1
< 0.1%
73143 1
< 0.1%
73142 1
< 0.1%
73141 1
< 0.1%
73140 1
< 0.1%
73139 1
< 0.1%
73138 1
< 0.1%
73137 1
< 0.1%
73136 1
< 0.1%
73135 1
< 0.1%

행위치
Real number (ℝ)

Distinct74
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.99789
Minimum1
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size66.8 KiB
2024-04-06T17:55:23.792920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q110
median26
Q342
95-th percentile56
Maximum85
Range84
Interquartile range (IQR)32

Descriptive statistics

Standard deviation17.838604
Coefficient of variation (CV)0.66074068
Kurtosis-1.1115594
Mean26.99789
Median Absolute Deviation (MAD)16
Skewness0.20765844
Sum204698
Variance318.2158
MonotonicityNot monotonic
2024-04-06T17:55:24.225524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 247
 
3.3%
2 247
 
3.3%
1 243
 
3.2%
3 240
 
3.2%
5 165
 
2.2%
10 158
 
2.1%
7 154
 
2.0%
9 153
 
2.0%
6 151
 
2.0%
8 150
 
2.0%
Other values (64) 5674
74.8%
ValueCountFrequency (%)
1 243
3.2%
2 247
3.3%
3 240
3.2%
4 247
3.3%
5 165
2.2%
6 151
2.0%
7 154
2.0%
8 150
2.0%
9 153
2.0%
10 158
2.1%
ValueCountFrequency (%)
85 1
 
< 0.1%
75 1
 
< 0.1%
73 1
 
< 0.1%
71 8
0.1%
70 9
0.1%
69 8
0.1%
68 8
0.1%
67 8
0.1%
66 8
0.1%
65 8
0.1%

열위치
Real number (ℝ)

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7635189
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size66.8 KiB
2024-04-06T17:55:24.468573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q37
95-th percentile8
Maximum22
Range21
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.045688
Coefficient of variation (CV)0.63937776
Kurtosis7.5538269
Mean4.7635189
Median Absolute Deviation (MAD)2
Skewness1.9216472
Sum36117
Variance9.2762154
MonotonicityNot monotonic
2024-04-06T17:55:24.701967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3 945
12.5%
4 942
12.4%
2 938
12.4%
6 937
12.4%
1 936
12.3%
7 932
12.3%
5 924
12.2%
8 861
11.4%
16 34
 
0.4%
17 25
 
0.3%
Other values (6) 108
 
1.4%
ValueCountFrequency (%)
1 936
12.3%
2 938
12.4%
3 945
12.5%
4 942
12.4%
5 924
12.2%
6 937
12.4%
7 932
12.3%
8 861
11.4%
15 17
 
0.2%
16 34
 
0.4%
ValueCountFrequency (%)
22 20
 
0.3%
21 16
 
0.2%
20 21
 
0.3%
19 16
 
0.2%
18 18
 
0.2%
17 25
 
0.3%
16 34
 
0.4%
15 17
 
0.2%
8 861
11.4%
7 932
12.3%

사용여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
True
7582 
ValueCountFrequency (%)
True 7582
100.0%
2024-04-06T17:55:24.912750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기타위치
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size59.4 KiB
3층 B동
6435 
<NA>
1053 
2층 A동
 
32
2층 B동
 
22
1층 A동
 
16
Other values (2)
 
24

Length

Max length5
Median length5
Mean length4.8611184
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1층 A동
2nd row1층 A동
3rd row1층 A동
4th row1층 A동
5th row1층 A동

Common Values

ValueCountFrequency (%)
3층 B동 6435
84.9%
<NA> 1053
 
13.9%
2층 A동 32
 
0.4%
2층 B동 22
 
0.3%
1층 A동 16
 
0.2%
3층 A동 13
 
0.2%
1층 B동 11
 
0.1%

Length

2024-04-06T17:55:25.129648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:55:25.391108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
b동 6468
45.8%
3층 6448
45.7%
na 1053
 
7.5%
a동 61
 
0.4%
2층 54
 
0.4%
1층 27
 
0.2%

감면구분
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size59.4 KiB
일반
6343 
수급자(생계, 의료)
854 
국가유공
 
233
지역주민
 
106
시설수용
 
27
Other values (2)
 
19

Length

Max length13
Median length2
Mean length3.1235822
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반 6343
83.7%
수급자(생계, 의료) 854
 
11.3%
국가유공 233
 
3.1%
지역주민 106
 
1.4%
시설수용 27
 
0.4%
참전유공 12
 
0.2%
장기 및 인체조직 기증자 7
 
0.1%

Length

2024-04-06T17:55:25.659179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:55:25.889519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 6343
75.0%
수급자(생계 854
 
10.1%
의료 854
 
10.1%
국가유공 233
 
2.8%
지역주민 106
 
1.3%
시설수용 27
 
0.3%
참전유공 12
 
0.1%
장기 7
 
0.1%
및 7
 
0.1%
인체조직 7
 
0.1%

시작일자
Date

Distinct365
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size59.4 KiB
Minimum2019-01-01 00:00:00
Maximum2019-12-31 00:00:00
2024-04-06T17:55:26.153202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:55:26.503164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

만료일자
Date

Distinct371
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size59.4 KiB
Minimum2027-06-27 00:00:00
Maximum2034-12-30 00:00:00
2024-04-06T17:55:26.768887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:55:27.044542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

반환여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
False
7382 
True
 
200
ValueCountFrequency (%)
False 7382
97.4%
True 200
 
2.6%
2024-04-06T17:55:27.252105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

반환일자
Date

MISSING 

Distinct148
Distinct (%)74.0%
Missing7382
Missing (%)97.4%
Memory size59.4 KiB
Minimum2019-01-10 00:00:00
Maximum2019-12-30 00:00:00
2024-04-06T17:55:27.475749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:55:27.761868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사용료
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size59.4 KiB
326000
6529 
984000
 
388
4320000
 
359
492000
 
306

Length

Max length7
Median length6
Mean length6.047349
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row326000
2nd row326000
3rd row326000
4th row326000
5th row326000

Common Values

ValueCountFrequency (%)
326000 6529
86.1%
984000 388
 
5.1%
4320000 359
 
4.7%
492000 306
 
4.0%

Length

2024-04-06T17:55:28.039501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:55:28.252992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
326000 6529
86.1%
984000 388
 
5.1%
4320000 359
 
4.7%
492000 306
 
4.0%

관리비
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size59.4 KiB
0
6529 
210000
 
388
1254000
 
359
105000
 
306

Length

Max length7
Median length1
Mean length1.7417568
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 6529
86.1%
210000 388
 
5.1%
1254000 359
 
4.7%
105000 306
 
4.0%

Length

2024-04-06T17:55:28.721124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:55:29.609726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6529
86.1%
210000 388
 
5.1%
1254000 359
 
4.7%
105000 306
 
4.0%

총금액
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size59.4 KiB
326000
6529 
1194000
 
388
5574000
 
359
597000
 
306

Length

Max length7
Median length6
Mean length6.0985228
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row326000
2nd row326000
3rd row326000
4th row326000
5th row326000

Common Values

ValueCountFrequency (%)
326000 6529
86.1%
1194000 388
 
5.1%
5574000 359
 
4.7%
597000 306
 
4.0%

Length

2024-04-06T17:55:29.847127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:55:30.038038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
326000 6529
86.1%
1194000 388
 
5.1%
5574000 359
 
4.7%
597000 306
 
4.0%

Interactions

2024-04-06T17:55:19.059978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:55:15.890927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:55:16.838823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:55:17.794896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:55:19.283323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:55:16.176669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:55:17.097600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:55:18.491624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:55:19.484721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:55:16.396141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:55:17.360355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:55:18.681051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:55:19.709310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:55:16.617730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:55:17.594676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:55:18.896849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:55:30.238442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
봉안관리번호봉안시설봉안유형호구분행위치열위치기타위치감면구분반환여부사용료관리비총금액
봉안관리번호1.0000.1440.0990.0920.3770.3100.0000.0720.0610.1200.1200.120
봉안시설0.1441.0000.1840.8080.5450.608NaN0.1800.0251.0001.0001.000
봉안유형0.0990.1841.0000.4740.0640.0000.6540.0000.0070.0600.0600.060
호구분0.0920.8080.4741.0000.5800.2860.9410.1660.0550.7620.7620.762
행위치0.3770.5450.0640.5801.0000.0000.1910.0780.0000.4960.4960.496
열위치0.3100.6080.0000.2860.0001.0000.0080.0280.0510.7190.7190.719
기타위치0.000NaN0.6540.9410.1910.0081.0000.0630.044NaNNaNNaN
감면구분0.0720.1800.0000.1660.0780.0280.0631.0000.2120.1430.1430.143
반환여부0.0610.0250.0070.0550.0000.0510.0440.2121.0000.0610.0610.061
사용료0.1201.0000.0600.7620.4960.719NaN0.1430.0611.0001.0001.000
관리비0.1201.0000.0600.7620.4960.719NaN0.1430.0611.0001.0001.000
총금액0.1201.0000.0600.7620.4960.719NaN0.1430.0611.0001.0001.000
2024-04-06T17:55:30.567802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
감면구분기타위치반환여부관리비봉안시설사용료총금액봉안유형
감면구분1.0000.0370.2270.0990.1220.0990.0990.000
기타위치0.0371.0000.0321.0001.0001.0001.0000.344
반환여부0.2270.0321.0000.0410.0420.0410.0410.012
관리비0.0991.0000.0411.0001.0001.0001.0000.056
봉안시설0.1221.0000.0421.0001.0001.0001.0000.057
사용료0.0991.0000.0411.0001.0001.0001.0000.056
총금액0.0991.0000.0411.0001.0001.0001.0000.056
봉안유형0.0000.3440.0120.0560.0570.0560.0561.000
2024-04-06T17:55:30.810367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
봉안관리번호호구분행위치열위치봉안시설봉안유형기타위치감면구분반환여부사용료관리비총금액
봉안관리번호1.0000.772-0.000-0.0310.0860.0590.0000.0360.0470.0720.0720.072
호구분0.7721.0000.222-0.0210.7020.3240.8470.0840.0420.5730.5730.573
행위치-0.0000.2221.0000.0090.3880.0380.1010.0390.0000.3190.3190.319
열위치-0.031-0.0210.0091.0000.4770.0000.0050.0150.0380.3900.3900.390
봉안시설0.0860.7020.3880.4771.0000.0571.0000.1220.0421.0001.0001.000
봉안유형0.0590.3240.0380.0000.0571.0000.3440.0000.0120.0560.0560.056
기타위치0.0000.8470.1010.0051.0000.3441.0000.0370.0321.0001.0001.000
감면구분0.0360.0840.0390.0150.1220.0000.0371.0000.2270.0990.0990.099
반환여부0.0470.0420.0000.0380.0420.0120.0320.2271.0000.0410.0410.041
사용료0.0720.5730.3190.3901.0000.0561.0000.0990.0411.0001.0001.000
관리비0.0720.5730.3190.3901.0000.0561.0000.0990.0411.0001.0001.000
총금액0.0720.5730.3190.3901.0000.0561.0000.0990.0411.0001.0001.000

Missing values

2024-04-06T17:55:19.947014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:55:20.386969image/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

봉안관리번호봉안시설봉안유형실구분호구분행위치열위치사용여부기타위치감면구분시작일자만료일자반환여부반환일자사용료관리비총금액
0201905777봉안당부부합장1203263Y1층 A동일반2019-09-262034-09-25N<NA>3260000326000
1201902793봉안당부부합장41123353Y1층 A동일반2019-04-282034-04-27N<NA>3260000326000
2201902506봉안당부부합장51523133Y1층 A동일반2019-04-142034-04-13N<NA>3260000326000
3201906195봉안당부부합장51669315Y1층 A동일반2019-10-152034-10-14N<NA>3260000326000
4201902776봉안당부부합장94385751Y1층 A동일반2019-04-272034-04-26N<NA>3260000326000
5201904418봉안당부부합장104660344Y1층 A동일반2019-07-162034-07-15N<NA>3260000326000
6201906574봉안당부부합장104858592Y1층 A동수급자(생계, 의료)2019-11-022034-11-01N<NA>3260000326000
7201906654봉안당부부합장104869605Y1층 A동국가유공2019-11-052034-11-04N<NA>3260000326000
8201903079봉안당부부합장125725175Y1층 A동수급자(생계, 의료)2019-05-122034-05-11N<NA>3260000326000
9201907618봉안당부부합장136491383Y1층 A동일반2019-12-192034-12-18N<NA>3260000326000
봉안관리번호봉안시설봉안유형실구분호구분행위치열위치사용여부기타위치감면구분시작일자만료일자반환여부반환일자사용료관리비총금액
7572201903985가족봉안묘봉안(일반)1488113Y<NA>일반2019-06-272034-06-26N<NA>432000012540005574000
7573201903991가족봉안묘봉안(일반)1489123Y<NA>일반2019-06-272034-06-26N<NA>432000012540005574000
7574201902514가족봉안묘봉안(일반)149121Y<NA>일반2019-04-152034-04-14N<NA>432000012540005574000
7575201904018가족봉안묘봉안(일반)1491143Y<NA>일반2019-06-292034-06-28N<NA>432000012540005574000
7576201904020가족봉안묘봉안(일반)1492153Y<NA>일반2019-06-292034-06-28N<NA>432000012540005574000
7577201904023가족봉안묘봉안(일반)1493163Y<NA>일반2019-06-292034-06-28N<NA>432000012540005574000
7578201904027가족봉안묘봉안(일반)1495183Y<NA>일반2019-06-292034-06-28N<NA>432000012540005574000
7579201904130가족봉안묘봉안(일반)1497203Y<NA>일반2019-07-042034-07-03N<NA>432000012540005574000
7580201904163가족봉안묘봉안(일반)1498213Y<NA>일반2019-07-052034-07-04N<NA>432000012540005574000
7581201904199가족봉안묘봉안(일반)1499223Y<NA>일반2019-07-062034-07-05N<NA>432000012540005574000