Overview

Dataset statistics

Number of variables11
Number of observations43
Missing cells4
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory97.1 B

Variable types

Categorical2
Text2
Numeric6
DateTime1

Dataset

Description경기도 포천시 공설묘지, 법인묘지, 자연장 등 묘지 종류, 명칭, 주소, 관리주체, 설치년도, 항목, 묘역면적, 총매장가능수, 기매장수, 등을 제공합니다.
Author경기도 포천시
URLhttps://www.data.go.kr/data/15088018/fileData.do

Alerts

데이터기준일 has constant value ""Constant
설치년도 is highly overall correlated with 종류High correlation
허가면적(제곱미터) is highly overall correlated with 묘역면적(제곱미터) and 5 other fieldsHigh correlation
묘역면적(제곱미터) is highly overall correlated with 허가면적(제곱미터) and 4 other fieldsHigh correlation
총매장가능구수 is highly overall correlated with 허가면적(제곱미터) and 5 other fieldsHigh correlation
기매장구수 is highly overall correlated with 허가면적(제곱미터) and 4 other fieldsHigh correlation
향후매장가능구수 is highly overall correlated with 허가면적(제곱미터) and 5 other fieldsHigh correlation
종류 is highly overall correlated with 설치년도 and 4 other fieldsHigh correlation
관리주체 is highly overall correlated with 허가면적(제곱미터) and 5 other fieldsHigh correlation
허가면적(제곱미터) has 4 (9.3%) missing valuesMissing
향후매장가능구수 has 30 (69.8%) zerosZeros

Reproduction

Analysis started2023-12-12 22:35:45.316935
Analysis finished2023-12-12 22:35:49.040675
Duration3.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

종류
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Memory size476.0 B
공설묘지
30 
사설묘지
9 
사설봉안당
 
2
공설자연장
 
1
사설자연장
 
1

Length

Max length5
Median length4
Mean length4.0930233
Min length4

Unique

Unique2 ?
Unique (%)4.7%

Sample

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

Common Values

ValueCountFrequency (%)
공설묘지 30
69.8%
사설묘지 9
 
20.9%
사설봉안당 2
 
4.7%
공설자연장 1
 
2.3%
사설자연장 1
 
2.3%

Length

2023-12-13T07:35:49.100093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:35:49.200419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공설묘지 30
69.8%
사설묘지 9
 
20.9%
사설봉안당 2
 
4.7%
공설자연장 1
 
2.3%
사설자연장 1
 
2.3%

명칭
Text

Distinct42
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-13T07:35:49.367302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length8.744186
Min length4

Characters and Unicode

Total characters376
Distinct characters67
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

Unique41 ?
Unique (%)95.3%

Sample

1st row소흘읍 제2공설묘지
2nd row소흘읍 제3공설묘지
3rd row군내면 제1공설묘지
4th row군내면 제2공설묘지
5th row군내면 제3공설묘지
ValueCountFrequency (%)
제2공설묘지 9
 
12.3%
제1공설묘지 7
 
9.6%
제3공설묘지 6
 
8.2%
신북면 6
 
8.2%
가산면 4
 
5.5%
내촌면 3
 
4.1%
제4공설묘지 3
 
4.1%
군내면 3
 
4.1%
창수면 3
 
4.1%
소흘읍 2
 
2.7%
Other values (22) 27
37.0%
2023-12-13T07:35:49.652375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
묘 37
 
9.8%
공 35
 
9.3%
설 31
 
8.2%
지 31
 
8.2%
30
 
8.0%
면 27
 
7.2%
제 27
 
7.2%
원 11
 
2.9%
2 9
 
2.4%
북 8
 
2.1%
Other values (57) 130
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 317
84.3%
Space Separator 30
 
8.0%
Decimal Number 27
 
7.2%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
묘 37
 
11.7%
공 35
 
11.0%
설 31
 
9.8%
지 31
 
9.8%
면 27
 
8.5%
제 27
 
8.5%
원 11
 
3.5%
북 8
 
2.5%
내 7
 
2.2%
신 6
 
1.9%
Other values (48) 97
30.6%
Decimal Number
ValueCountFrequency (%)
2 9
33.3%
1 7
25.9%
3 6
22.2%
4 3
 
11.1%
6 1
 
3.7%
5 1
 
3.7%
Space Separator
ValueCountFrequency (%)
30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 317
84.3%
Common 59
 
15.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
묘 37
 
11.7%
공 35
 
11.0%
설 31
 
9.8%
지 31
 
9.8%
면 27
 
8.5%
제 27
 
8.5%
원 11
 
3.5%
북 8
 
2.5%
내 7
 
2.2%
신 6
 
1.9%
Other values (48) 97
30.6%
Common
ValueCountFrequency (%)
30
50.8%
2 9
 
15.3%
1 7
 
11.9%
3 6
 
10.2%
4 3
 
5.1%
( 1
 
1.7%
6 1
 
1.7%
5 1
 
1.7%
) 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 317
84.3%
ASCII 59
 
15.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
묘 37
 
11.7%
공 35
 
11.0%
설 31
 
9.8%
지 31
 
9.8%
면 27
 
8.5%
제 27
 
8.5%
원 11
 
3.5%
북 8
 
2.5%
내 7
 
2.2%
신 6
 
1.9%
Other values (48) 97
30.6%
ASCII
ValueCountFrequency (%)
30
50.8%
2 9
 
15.3%
1 7
 
11.9%
3 6
 
10.2%
4 3
 
5.1%
( 1
 
1.7%
6 1
 
1.7%
5 1
 
1.7%
) 1
 
1.7%

주소
Text

Distinct42
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-13T07:35:49.877025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length20.395349
Min length16

Characters and Unicode

Total characters877
Distinct characters76
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

Unique41 ?
Unique (%)95.3%

Sample

1st row경기도 포천시 소흘읍 무림리 산 41
2nd row경기도 포천시 소흘읍 고모리 산 99
3rd row경기도 포천시 군내면 구읍리 산2-1
4th row경기도 포천시 군내면 구읍리 산 20-1
5th row경기도 포천시 군내면 구읍리 산 20-1
ValueCountFrequency (%)
경기도 43
17.6%
포천시 43
17.6%
산 32
 
13.1%
소흘읍 7
 
2.9%
신북면 6
 
2.4%
내촌면 6
 
2.4%
가산면 4
 
1.6%
창수면 4
 
1.6%
구읍리 3
 
1.2%
마명리 3
 
1.2%
Other values (75) 94
38.4%
2023-12-13T07:35:50.266163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
202
23.0%
산 44
 
5.0%
천 44
 
5.0%
경 43
 
4.9%
도 43
 
4.9%
포 43
 
4.9%
시 43
 
4.9%
기 43
 
4.9%
리 41
 
4.7%
1 35
 
4.0%
Other values (66) 296
33.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 551
62.8%
Space Separator 202
 
23.0%
Decimal Number 112
 
12.8%
Dash Punctuation 12
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 44
 
8.0%
천 44
 
8.0%
경 43
 
7.8%
도 43
 
7.8%
포 43
 
7.8%
시 43
 
7.8%
기 43
 
7.8%
리 41
 
7.4%
면 34
 
6.2%
읍 10
 
1.8%
Other values (54) 163
29.6%
Decimal Number
ValueCountFrequency (%)
1 35
31.2%
2 18
16.1%
8 12
 
10.7%
4 10
 
8.9%
3 10
 
8.9%
7 7
 
6.2%
0 6
 
5.4%
6 6
 
5.4%
9 6
 
5.4%
5 2
 
1.8%
Space Separator
ValueCountFrequency (%)
202
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 551
62.8%
Common 326
37.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 44
 
8.0%
천 44
 
8.0%
경 43
 
7.8%
도 43
 
7.8%
포 43
 
7.8%
시 43
 
7.8%
기 43
 
7.8%
리 41
 
7.4%
면 34
 
6.2%
읍 10
 
1.8%
Other values (54) 163
29.6%
Common
ValueCountFrequency (%)
202
62.0%
1 35
 
10.7%
2 18
 
5.5%
8 12
 
3.7%
- 12
 
3.7%
4 10
 
3.1%
3 10
 
3.1%
7 7
 
2.1%
0 6
 
1.8%
6 6
 
1.8%
Other values (2) 8
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 551
62.8%
ASCII 326
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
202
62.0%
1 35
 
10.7%
2 18
 
5.5%
8 12
 
3.7%
- 12
 
3.7%
4 10
 
3.1%
3 10
 
3.1%
7 7
 
2.1%
0 6
 
1.8%
6 6
 
1.8%
Other values (2) 8
 
2.5%
Hangul
ValueCountFrequency (%)
산 44
 
8.0%
천 44
 
8.0%
경 43
 
7.8%
도 43
 
7.8%
포 43
 
7.8%
시 43
 
7.8%
기 43
 
7.8%
리 41
 
7.4%
면 34
 
6.2%
읍 10
 
1.8%
Other values (54) 163
29.6%

관리주체
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Memory size476.0 B
포천시
30 
(재)서능공원묘지운영회
 
2
(재)자하연
 
1
(재)낙원공원
 
1
(재)기독교상조회
 
1
Other values (8)
8 

Length

Max length12
Median length3
Mean length4.7209302
Min length3

Unique

Unique11 ?
Unique (%)25.6%

Sample

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

Common Values

ValueCountFrequency (%)
포천시 30
69.8%
(재)서능공원묘지운영회 2
 
4.7%
(재)자하연 1
 
2.3%
(재)낙원공원 1
 
2.3%
(재)기독교상조회 1
 
2.3%
천주교회혜화동성당 1
 
2.3%
제칠일안식일예수재림교 1
 
2.3%
천도교중앙총부 1
 
2.3%
천주교금호동성당 1
 
2.3%
천주교전농동성당 1
 
2.3%
Other values (3) 3
 
7.0%

Length

2023-12-13T07:35:50.400939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
포천시 30
69.8%
재)서능공원묘지운영회 2
 
4.7%
재)자하연 1
 
2.3%
재)낙원공원 1
 
2.3%
재)기독교상조회 1
 
2.3%
천주교회혜화동성당 1
 
2.3%
제칠일안식일예수재림교 1
 
2.3%
천도교중앙총부 1
 
2.3%
천주교금호동성당 1
 
2.3%
천주교전농동성당 1
 
2.3%
Other values (3) 3
 
7.0%

설치년도
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)37.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1963.9302
Minimum1905
Maximum2019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T07:35:50.500059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1905
5-th percentile1906.5
Q11956
median1976
Q31977
95-th percentile1978
Maximum2019
Range114
Interquartile range (IQR)21

Descriptive statistics

Standard deviation26.19287
Coefficient of variation (CV)0.013336966
Kurtosis0.60736159
Mean1963.9302
Median Absolute Deviation (MAD)2
Skewness-0.85259
Sum84449
Variance686.06645
MonotonicityNot monotonic
2023-12-13T07:35:50.623893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1977 14
32.6%
1974 4
 
9.3%
1905 3
 
7.0%
1930 3
 
7.0%
1956 3
 
7.0%
1978 3
 
7.0%
1976 3
 
7.0%
1967 2
 
4.7%
1920 1
 
2.3%
1921 1
 
2.3%
Other values (6) 6
14.0%
ValueCountFrequency (%)
1905 3
7.0%
1920 1
 
2.3%
1921 1
 
2.3%
1925 1
 
2.3%
1930 3
7.0%
1956 3
7.0%
1967 2
4.7%
1968 1
 
2.3%
1969 1
 
2.3%
1970 1
 
2.3%
ValueCountFrequency (%)
2019 1
 
2.3%
2014 1
 
2.3%
1978 3
 
7.0%
1977 14
32.6%
1976 3
 
7.0%
1974 4
 
9.3%
1970 1
 
2.3%
1969 1
 
2.3%
1968 1
 
2.3%
1967 2
 
4.7%

허가면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct39
Distinct (%)100.0%
Missing4
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean71946.769
Minimum1190
Maximum841210
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T07:35:50.748165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1190
5-th percentile2167.5
Q15040
median9193
Q335955.5
95-th percentile267405.6
Maximum841210
Range840020
Interquartile range (IQR)30915.5

Descriptive statistics

Standard deviation169361.99
Coefficient of variation (CV)2.3539902
Kurtosis14.037592
Mean71946.769
Median Absolute Deviation (MAD)6849
Skewness3.6835275
Sum2805924
Variance2.8683485 × 1010
MonotonicityNot monotonic
2023-12-13T07:35:50.880225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
20033 1
 
2.3%
6050 1
 
2.3%
38678 1
 
2.3%
4836 1
 
2.3%
29236 1
 
2.3%
2344 1
 
2.3%
4959 1
 
2.3%
2644 1
 
2.3%
3306 1
 
2.3%
841210 1
 
2.3%
Other values (29) 29
67.4%
(Missing) 4
 
9.3%
ValueCountFrequency (%)
1190 1
2.3%
1947 1
2.3%
2192 1
2.3%
2344 1
2.3%
2644 1
2.3%
3074 1
2.3%
3306 1
2.3%
3906 1
2.3%
4836 1
2.3%
4959 1
2.3%
ValueCountFrequency (%)
841210 1
2.3%
647940 1
2.3%
225124 1
2.3%
191505 1
2.3%
144298 1
2.3%
144274 1
2.3%
115041 1
2.3%
102743 1
2.3%
72793 1
2.3%
38678 1
2.3%

묘역면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct41
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25151.326
Minimum180
Maximum224426
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T07:35:51.011786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180
5-th percentile1194
Q11902
median4275
Q323698
95-th percentile114486.2
Maximum224426
Range224246
Interquartile range (IQR)21796

Descriptive statistics

Standard deviation46210.155
Coefficient of variation (CV)1.8372851
Kurtosis7.8361449
Mean25151.326
Median Absolute Deviation (MAD)2775
Skewness2.6581507
Sum1081507
Variance2.1353785 × 109
MonotonicityNot monotonic
2023-12-13T07:35:51.154404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1500 2
 
4.7%
2935 2
 
4.7%
1379 1
 
2.3%
94611 1
 
2.3%
27019 1
 
2.3%
820 1
 
2.3%
1752 1
 
2.3%
1737 1
 
2.3%
224426 1
 
2.3%
49587 1
 
2.3%
Other values (31) 31
72.1%
ValueCountFrequency (%)
180 1
2.3%
820 1
2.3%
1190 1
2.3%
1230 1
2.3%
1379 1
2.3%
1500 2
4.7%
1737 1
2.3%
1752 1
2.3%
1852 1
2.3%
1857 1
2.3%
ValueCountFrequency (%)
224426 1
2.3%
124575 1
2.3%
115000 1
2.3%
109862 1
2.3%
94611 1
2.3%
85881 1
2.3%
53707 1
2.3%
49587 1
2.3%
39662 1
2.3%
27019 1
2.3%

총매장가능구수
Real number (ℝ)

HIGH CORRELATION 

Distinct41
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2248.9302
Minimum10
Maximum13498
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T07:35:51.611377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile48.3
Q1208
median309
Q31758
95-th percentile11792.4
Maximum13498
Range13488
Interquartile range (IQR)1550

Descriptive statistics

Standard deviation3802.6491
Coefficient of variation (CV)1.6908702
Kurtosis2.4133377
Mean2248.9302
Median Absolute Deviation (MAD)209
Skewness1.8997348
Sum96704
Variance14460140
MonotonicityNot monotonic
2023-12-13T07:35:51.767370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
209 2
 
4.7%
245 2
 
4.7%
5000 1
 
2.3%
41 1
 
2.3%
168 1
 
2.3%
100 1
 
2.3%
47 1
 
2.3%
11310 1
 
2.3%
2522 1
 
2.3%
7370 1
 
2.3%
Other values (31) 31
72.1%
ValueCountFrequency (%)
10 1
2.3%
41 1
2.3%
47 1
2.3%
60 1
2.3%
75 1
2.3%
100 1
2.3%
142 1
2.3%
168 1
2.3%
181 1
2.3%
185 1
2.3%
ValueCountFrequency (%)
13498 1
2.3%
12000 1
2.3%
11846 1
2.3%
11310 1
2.3%
8000 1
2.3%
7370 1
2.3%
5980 1
2.3%
5750 1
2.3%
5000 1
2.3%
2522 1
2.3%

기매장구수
Real number (ℝ)

HIGH CORRELATION 

Distinct41
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean754.25581
Minimum10
Maximum5162
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T07:35:51.900787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile48.3
Q1196
median295
Q3737
95-th percentile4230.4
Maximum5162
Range5152
Interquartile range (IQR)541

Descriptive statistics

Standard deviation1184.3446
Coefficient of variation (CV)1.5702161
Kurtosis7.5648439
Mean754.25581
Median Absolute Deviation (MAD)150
Skewness2.8215732
Sum32433
Variance1402672.2
MonotonicityNot monotonic
2023-12-13T07:35:52.033851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
209 2
 
4.7%
245 2
 
4.7%
145 1
 
2.3%
41 1
 
2.3%
168 1
 
2.3%
100 1
 
2.3%
47 1
 
2.3%
5162 1
 
2.3%
1072 1
 
2.3%
1094 1
 
2.3%
Other values (31) 31
72.1%
ValueCountFrequency (%)
10 1
2.3%
41 1
2.3%
47 1
2.3%
60 1
2.3%
75 1
2.3%
100 1
2.3%
142 1
2.3%
145 1
2.3%
168 1
2.3%
181 1
2.3%
ValueCountFrequency (%)
5162 1
2.3%
4498 1
2.3%
4483 1
2.3%
1957 1
2.3%
1652 1
2.3%
1160 1
2.3%
1144 1
2.3%
1128 1
2.3%
1094 1
2.3%
1072 1
2.3%

향후매장가능구수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct14
Distinct (%)32.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1161.8837
Minimum0
Maximum12855
Zeros30
Zeros (%)69.8%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T07:35:52.155771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3730
95-th percentile7142.9
Maximum12855
Range12855
Interquartile range (IQR)730

Descriptive statistics

Standard deviation2843.9724
Coefficient of variation (CV)2.4477255
Kurtosis9.1351433
Mean1161.8837
Median Absolute Deviation (MAD)0
Skewness3.0414413
Sum49961
Variance8088178.9
MonotonicityNot monotonic
2023-12-13T07:35:52.269833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 30
69.8%
5162 1
 
2.3%
1072 1
 
2.3%
1094 1
 
2.3%
388 1
 
2.3%
145 1
 
2.3%
1652 1
 
2.3%
1128 1
 
2.3%
4498 1
 
2.3%
1957 1
 
2.3%
Other values (4) 4
 
9.3%
ValueCountFrequency (%)
0 30
69.8%
145 1
 
2.3%
388 1
 
2.3%
1072 1
 
2.3%
1094 1
 
2.3%
1128 1
 
2.3%
1652 1
 
2.3%
1791 1
 
2.3%
1957 1
 
2.3%
4498 1
 
2.3%
ValueCountFrequency (%)
12855 1
2.3%
10856 1
2.3%
7363 1
2.3%
5162 1
2.3%
4498 1
2.3%
1957 1
2.3%
1791 1
2.3%
1652 1
2.3%
1128 1
2.3%
1094 1
2.3%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
Minimum2021-08-31 00:00:00
Maximum2021-08-31 00:00:00
2023-12-13T07:35:52.402649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:52.514574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T07:35:48.322227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:45.788038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:46.369141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:46.849789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:47.319400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:47.837607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:48.397360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:45.885450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:46.464810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:46.925603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:47.420649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:47.928298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:48.471356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:45.977737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:46.537173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:46.997584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:47.505272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:48.006465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:48.552368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:46.070738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:46.612090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:47.071399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:47.584584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:48.070475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:48.665643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:46.182206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:46.699529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:47.153131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:47.675412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:48.155921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:48.743037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:46.274682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:46.777187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:47.235303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:47.756323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:48.236605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:35:52.621221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종류명칭주소관리주체설치년도허가면적(제곱미터)묘역면적(제곱미터)총매장가능구수기매장구수향후매장가능구수
종류1.0000.0001.0000.9560.7570.7860.6010.7840.5680.861
명칭0.0001.0000.9951.0000.0001.0000.0001.0000.0000.000
주소1.0000.9951.0001.0001.0001.0001.0001.0000.7941.000
관리주체0.9561.0001.0001.0000.4581.0000.9631.0000.9160.964
설치년도0.7570.0001.0000.4581.0000.0000.0000.2750.0000.446
허가면적(제곱미터)0.7861.0001.0001.0000.0001.0000.8510.9510.7950.816
묘역면적(제곱미터)0.6010.0001.0000.9630.0000.8511.0000.9220.8080.893
총매장가능구수0.7841.0001.0001.0000.2750.9510.9221.0000.8030.957
기매장구수0.5680.0000.7940.9160.0000.7950.8080.8031.0000.877
향후매장가능구수0.8610.0001.0000.9640.4460.8160.8930.9570.8771.000
2023-12-13T07:35:52.767197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리주체종류
관리주체1.0000.797
종류0.7971.000
2023-12-13T07:35:52.852830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치년도허가면적(제곱미터)묘역면적(제곱미터)총매장가능구수기매장구수향후매장가능구수종류관리주체
설치년도1.000-0.367-0.140-0.146-0.167-0.1480.6190.289
허가면적(제곱미터)-0.3671.0000.7910.7380.6210.7280.8810.924
묘역면적(제곱미터)-0.1400.7911.0000.8460.7790.7570.4300.797
총매장가능구수-0.1460.7380.8461.0000.9050.8040.6380.913
기매장구수-0.1670.6210.7790.9051.0000.6390.4200.685
향후매장가능구수-0.1480.7280.7570.8040.6391.0000.7560.799
종류0.6190.8810.4300.6380.4200.7561.0000.797
관리주체0.2890.9240.7970.9130.6850.7990.7971.000

Missing values

2023-12-13T07:35:48.861068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:35:48.990081image/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

종류명칭주소관리주체설치년도허가면적(제곱미터)묘역면적(제곱미터)총매장가능구수기매장구수향후매장가능구수데이터기준일
0공설묘지소흘읍 제2공설묘지경기도 포천시 소흘읍 무림리 산 41포천시190516562137920920902021-08-31
1공설묘지소흘읍 제3공설묘지경기도 포천시 소흘읍 고모리 산 99포천시192520033204630930902021-08-31
2공설묘지군내면 제1공설묘지경기도 포천시 군내면 구읍리 산2-1포천시19763906358444744702021-08-31
3공설묘지군내면 제2공설묘지경기도 포천시 군내면 구읍리 산 20-1포천시19778529551483183102021-08-31
4공설묘지군내면 제3공설묘지경기도 포천시 군내면 구읍리 산 20-1포천시19773074300037537502021-08-31
5공설묘지내촌면 제2공설묘지경기도 포천시 내촌면 진목리 산 292포천시197733233293524524502021-08-31
6공설묘지내촌면 제3공설묘지경기도 포천시 내촌면 마명리 산 38포천시19775243293518118102021-08-31
7공설묘지내촌면 제4공설묘지경기도 포천시 내촌면 신팔리 산 167포천시197721921230606002021-08-31
8공설묘지가산면 제1공설묘지경기도 포천시 가산면 감암리 산 12포천시19789193306824524502021-08-31
9공설묘지가산면 제2공설묘지경기도 포천시 가산면 가산리 산 72포천시197813342435164064002021-08-31
종류명칭주소관리주체설치년도허가면적(제곱미터)묘역면적(제곱미터)총매장가능구수기매장구수향후매장가능구수데이터기준일
33사설묘지포천묘원경기도 포천시 소흘읍 무봉리 산39(재)기독교상조회19671027439461111163883882021-08-31
34사설묘지천주교혜화동묘원경기도 포천시 소흘읍 이동교리 산 14-1천주교회혜화동성당19746479402700050001451452021-08-31
35사설묘지재림공원묘원경기도 포천시 소흘읍 송우리 산66-3제칠일안식일예수재림교1974144274858815980165216522021-08-31
36사설묘지천도교무봉묘원경기도 포천시 소흘읍 무봉리 산 141-1천도교중앙총부196872793537071454112811282021-08-31
37사설묘지천보묘원경기도 포천시 동교동 산 43-1천주교금호동성당19742251241098628000449844982021-08-31
38사설묘지평화묘원경기도 포천시 화현면 지현리 산 27천주교전농동성당19741442981150005750195719572021-08-31
39공설자연장내촌공설자연장지경기도 포천시 내촌면 진목리 산274포천도시공사2019<NA>8597206227117912021-08-31
40사설자연장광릉추모공원경기도 포천시 내촌면 마명리 산 68(재)서능공원묘지운영회2014<NA>39662120001144108562021-08-31
41사설봉안당다보정사 봉안당경기도 포천시 창수면 주원리 188대한불교다보정사1905<NA>2039613498643128552021-08-31
42사설봉안당도성사 봉안당경기도 포천시 화현면 화현리 10-1불교조계종도성사재단1905<NA>1125411846448373632021-08-31