Overview

Dataset statistics

Number of variables9
Number of observations168
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.3 KiB
Average record size in memory80.8 B

Variable types

DateTime1
Numeric4
Categorical4

Dataset

Description경기도 하남시 마루공원에 위치한 봉안당 안치현황 및 반환 현황에 대한 데이터로 개인단, 부부단, 유공자단, 무연고단의 분류를 제공하는 내용입니다.
Author하남도시공사
URLhttps://www.data.go.kr/data/15095462/fileData.do

Alerts

유공자단반환기수 has constant value ""Constant
개인단신고기수 is highly overall correlated with 개인단반환기수 and 1 other fieldsHigh correlation
개인단반환기수 is highly overall correlated with 개인단신고기수 and 2 other fieldsHigh correlation
부부단신고기수 is highly overall correlated with 개인단신고기수 and 1 other fieldsHigh correlation
부부단반환기수 is highly overall correlated with 개인단반환기수High correlation
부부단반환기수 is highly imbalanced (78.1%)Imbalance
유공자단신고기수 is highly imbalanced (87.5%)Imbalance
무연고단반환기수 is highly imbalanced (77.8%)Imbalance
날짜 has unique valuesUnique
개인단반환기수 has 66 (39.3%) zerosZeros
부부단신고기수 has 15 (8.9%) zerosZeros
무연고단신고기수 has 112 (66.7%) zerosZeros

Reproduction

Analysis started2023-12-12 17:15:58.188028
Analysis finished2023-12-12 17:15:59.897439
Duration1.71 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Date

UNIQUE 

Distinct168
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2007-11-01 00:00:00
Maximum2021-10-01 00:00:00
2023-12-13T02:15:59.964781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:16:00.091843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

개인단신고기수
Real number (ℝ)

HIGH CORRELATION 

Distinct46
Distinct (%)27.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.196429
Minimum11
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T02:16:00.209085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile15
Q122
median29
Q340
95-th percentile51
Maximum60
Range49
Interquartile range (IQR)18

Descriptive statistics

Standard deviation11.583727
Coefficient of variation (CV)0.37131582
Kurtosis-0.7026142
Mean31.196429
Median Absolute Deviation (MAD)8
Skewness0.42644652
Sum5241
Variance134.18274
MonotonicityNot monotonic
2023-12-13T02:16:00.349054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
27 10
 
6.0%
22 9
 
5.4%
26 8
 
4.8%
29 7
 
4.2%
23 7
 
4.2%
20 7
 
4.2%
28 7
 
4.2%
25 5
 
3.0%
36 5
 
3.0%
35 5
 
3.0%
Other values (36) 98
58.3%
ValueCountFrequency (%)
11 1
 
0.6%
12 2
 
1.2%
13 3
1.8%
14 2
 
1.2%
15 3
1.8%
16 5
3.0%
17 2
 
1.2%
18 4
2.4%
19 3
1.8%
20 7
4.2%
ValueCountFrequency (%)
60 1
 
0.6%
58 1
 
0.6%
56 1
 
0.6%
55 2
 
1.2%
54 1
 
0.6%
51 5
3.0%
50 5
3.0%
49 1
 
0.6%
48 3
1.8%
47 3
1.8%

개인단반환기수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct18
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.952381
Minimum0
Maximum46
Zeros66
Zeros (%)39.3%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T02:16:00.465270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q36
95-th percentile11
Maximum46
Range46
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.5863494
Coefficient of variation (CV)1.4134137
Kurtosis22.619538
Mean3.952381
Median Absolute Deviation (MAD)3
Skewness3.775899
Sum664
Variance31.2073
MonotonicityNot monotonic
2023-12-13T02:16:00.553409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 66
39.3%
6 19
 
11.3%
4 16
 
9.5%
5 13
 
7.7%
2 9
 
5.4%
7 9
 
5.4%
3 7
 
4.2%
1 6
 
3.6%
9 5
 
3.0%
11 4
 
2.4%
Other values (8) 14
 
8.3%
ValueCountFrequency (%)
0 66
39.3%
1 6
 
3.6%
2 9
 
5.4%
3 7
 
4.2%
4 16
 
9.5%
5 13
 
7.7%
6 19
 
11.3%
7 9
 
5.4%
8 3
 
1.8%
9 5
 
3.0%
ValueCountFrequency (%)
46 1
 
0.6%
33 1
 
0.6%
22 1
 
0.6%
15 1
 
0.6%
14 2
 
1.2%
13 2
 
1.2%
11 4
2.4%
10 3
1.8%
9 5
3.0%
8 3
1.8%

부부단신고기수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct18
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0238095
Minimum0
Maximum19
Zeros15
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T02:16:00.654043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q35
95-th percentile10.65
Maximum19
Range19
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.508676
Coefficient of variation (CV)0.87197864
Kurtosis3.8971803
Mean4.0238095
Median Absolute Deviation (MAD)2
Skewness1.7628791
Sum676
Variance12.310807
MonotonicityNot monotonic
2023-12-13T02:16:00.764940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2 32
19.0%
3 24
14.3%
4 21
12.5%
1 20
11.9%
5 19
11.3%
0 15
8.9%
7 10
 
6.0%
6 7
 
4.2%
8 6
 
3.6%
10 4
 
2.4%
Other values (8) 10
 
6.0%
ValueCountFrequency (%)
0 15
8.9%
1 20
11.9%
2 32
19.0%
3 24
14.3%
4 21
12.5%
5 19
11.3%
6 7
 
4.2%
7 10
 
6.0%
8 6
 
3.6%
9 1
 
0.6%
ValueCountFrequency (%)
19 1
 
0.6%
17 1
 
0.6%
16 2
 
1.2%
15 1
 
0.6%
14 1
 
0.6%
13 1
 
0.6%
11 2
 
1.2%
10 4
2.4%
9 1
 
0.6%
8 6
3.6%

부부단반환기수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
0
155 
1
 
8
2
 
3
12
 
1
4
 
1

Length

Max length2
Median length1
Mean length1.0059524
Min length1

Unique

Unique2 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 155
92.3%
1 8
 
4.8%
2 3
 
1.8%
12 1
 
0.6%
4 1
 
0.6%

Length

2023-12-13T02:16:00.896595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:16:01.005856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 155
92.3%
1 8
 
4.8%
2 3
 
1.8%
12 1
 
0.6%
4 1
 
0.6%

유공자단신고기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
0
162 
3
 
2
1
 
2
4
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 162
96.4%
3 2
 
1.2%
1 2
 
1.2%
4 1
 
0.6%
2 1
 
0.6%

Length

2023-12-13T02:16:01.119756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:16:01.246709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 162
96.4%
3 2
 
1.2%
1 2
 
1.2%
4 1
 
0.6%
2 1
 
0.6%

유공자단반환기수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
0
168 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 168
100.0%

Length

2023-12-13T02:16:01.356462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:16:01.451444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 168
100.0%

무연고단신고기수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.57738095
Minimum0
Maximum12
Zeros112
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T02:16:01.555860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2.65
Maximum12
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2644235
Coefficient of variation (CV)2.1899293
Kurtosis40.432569
Mean0.57738095
Median Absolute Deviation (MAD)0
Skewness5.210803
Sum97
Variance1.5987668
MonotonicityNot monotonic
2023-12-13T02:16:01.652617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 112
66.7%
1 37
 
22.0%
2 10
 
6.0%
3 5
 
3.0%
4 2
 
1.2%
5 1
 
0.6%
12 1
 
0.6%
ValueCountFrequency (%)
0 112
66.7%
1 37
 
22.0%
2 10
 
6.0%
3 5
 
3.0%
4 2
 
1.2%
5 1
 
0.6%
12 1
 
0.6%
ValueCountFrequency (%)
12 1
 
0.6%
5 1
 
0.6%
4 2
 
1.2%
3 5
 
3.0%
2 10
 
6.0%
1 37
 
22.0%
0 112
66.7%

무연고단반환기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
0
162 
1
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 162
96.4%
1 6
 
3.6%

Length

2023-12-13T02:16:01.758105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:16:01.856565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 162
96.4%
1 6
 
3.6%

Interactions

2023-12-13T02:15:59.359401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:15:58.444200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:15:58.705435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:15:59.001148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:15:59.438653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:15:58.504776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:15:58.769793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:15:59.103699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:15:59.508685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:15:58.566302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:15:58.843735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:15:59.175702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:15:59.602220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:15:58.635131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:15:58.914945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:15:59.267804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:16:01.925705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
개인단신고기수개인단반환기수부부단신고기수부부단반환기수유공자단신고기수무연고단신고기수무연고단반환기수
개인단신고기수1.0000.5200.6230.3040.4150.2370.126
개인단반환기수0.5201.0000.8230.7740.0000.0000.416
부부단신고기수0.6230.8231.0000.7660.6450.0000.553
부부단반환기수0.3040.7740.7661.0000.0000.0000.157
유공자단신고기수0.4150.0000.6450.0001.0000.4560.000
무연고단신고기수0.2370.0000.0000.0000.4561.0000.000
무연고단반환기수0.1260.4160.5530.1570.0000.0001.000
2023-12-13T02:16:02.067868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부부단반환기수무연고단반환기수유공자단신고기수
부부단반환기수1.0000.1900.000
무연고단반환기수0.1901.0000.000
유공자단신고기수0.0000.0001.000
2023-12-13T02:16:02.201083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
개인단신고기수개인단반환기수부부단신고기수무연고단신고기수부부단반환기수유공자단신고기수무연고단반환기수
개인단신고기수1.0000.6890.6420.2060.1280.1810.092
개인단반환기수0.6891.0000.7340.3220.6390.0000.438
부부단신고기수0.6420.7341.0000.2210.4150.3160.416
무연고단신고기수0.2060.3220.2211.0000.0000.3290.000
부부단반환기수0.1280.6390.4150.0001.0000.0000.190
유공자단신고기수0.1810.0000.3160.3290.0001.0000.000
무연고단반환기수0.0920.4380.4160.0000.1900.0001.000

Missing values

2023-12-13T02:15:59.722791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:15:59.850216image/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

날짜개인단신고기수개인단반환기수부부단신고기수부부단반환기수유공자단신고기수유공자단반환기수무연고단신고기수무연고단반환기수
02007-11210200020
12007-12150000040
22008-01140000000
32008-02120200000
42008-03150100000
52008-04180000020
62008-05170200000
72008-06150100010
82008-07160000000
92008-08110000000
날짜개인단신고기수개인단반환기수부부단신고기수부부단반환기수유공자단신고기수유공자단반환기수무연고단신고기수무연고단반환기수
1582021-014791010000
1592021-02374400010
1602021-03506504030
1612021-044413703040
1622021-05437400010
1632021-06446303030
1642021-07506501000
1652021-08489800000
1662021-09497602000
1672021-1051111301000