Overview

Dataset statistics

Number of variables12
Number of observations42
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory101.1 B

Variable types

Text2
Categorical7
Numeric2
DateTime1

Dataset

Description경상남도 양산시 문화재 자료에 대한 파일데이터입니다. 지정번호, 문화재명, 수량, 소유자, 소재지 등의 정보를 포함하고 있습니다.
Author경상남도 양산시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15074061

Alerts

출처 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지 is highly overall correlated with 위도 and 5 other fieldsHigh correlation
연락처 is highly overall correlated with 위도 and 5 other fieldsHigh correlation
관리 단체 is highly overall correlated with 위도 and 5 other fieldsHigh correlation
소유자 is highly overall correlated with 위도 and 5 other fieldsHigh correlation
위도 is highly overall correlated with 수량 and 4 other fieldsHigh correlation
경도 is highly overall correlated with 수량 and 4 other fieldsHigh correlation
수량 is highly overall correlated with 위도 and 5 other fieldsHigh correlation
지정 번호 has unique valuesUnique
문화재명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:54:48.509067
Analysis finished2023-12-10 23:54:49.750800
Duration1.24 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지정 번호
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-11T08:54:49.942098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.2857143
Min length3

Characters and Unicode

Total characters138
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

Unique42 ?
Unique (%)100.0%

Sample

1st row144
2nd row169
3rd row187
4th row189
5th row276
ValueCountFrequency (%)
144 1
 
2.4%
570 1
 
2.4%
653 1
 
2.4%
383 1
 
2.4%
384 1
 
2.4%
385 1
 
2.4%
386 1
 
2.4%
387 1
 
2.4%
465 1
 
2.4%
528 1
 
2.4%
Other values (32) 32
76.2%
2023-12-11T08:54:50.360876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 25
18.1%
1 21
15.2%
6 15
10.9%
2 14
10.1%
5 13
9.4%
8 10
 
7.2%
9 10
 
7.2%
4 9
 
6.5%
7 9
 
6.5%
0 6
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 132
95.7%
Dash Punctuation 6
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 25
18.9%
1 21
15.9%
6 15
11.4%
2 14
10.6%
5 13
9.8%
8 10
 
7.6%
9 10
 
7.6%
4 9
 
6.8%
7 9
 
6.8%
0 6
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 138
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 25
18.1%
1 21
15.2%
6 15
10.9%
2 14
10.1%
5 13
9.4%
8 10
 
7.2%
9 10
 
7.2%
4 9
 
6.5%
7 9
 
6.5%
0 6
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 138
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 25
18.1%
1 21
15.2%
6 15
10.9%
2 14
10.1%
5 13
9.4%
8 10
 
7.2%
9 10
 
7.2%
4 9
 
6.5%
7 9
 
6.5%
0 6
 
4.3%

문화재명
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-11T08:54:50.628669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length15
Mean length11.357143
Min length5

Characters and Unicode

Total characters477
Distinct characters133
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)100.0%

Sample

1st row통도사장경각
2nd row안적암동종
3rd row우불산신사
4th row양산어곡동우규동별서
5th row물금증산리왜성
ValueCountFrequency (%)
통도사장경각 1
 
2.3%
통도사광서16년명신중도 1
 
2.3%
통도사극락암석조관음보살좌상 1
 
2.3%
통도사극락암도광원년아미타후불탱 1
 
2.3%
통도사극락암가경이십삼년신중탱 1
 
2.3%
통도사극락암청동반자 1
 
2.3%
천태정사목조아미타여래좌상및복장유물 1
 
2.3%
양산가촌리송담사묘정비 1
 
2.3%
양산법천사묘법연화경1ㆍ2 1
 
2.3%
양산광천사현수제승법수 1
 
2.3%
Other values (34) 34
77.3%
2023-12-11T08:54:51.009728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30
 
6.3%
30
 
6.3%
22
 
4.6%
20
 
4.2%
16
 
3.4%
15
 
3.1%
13
 
2.7%
13
 
2.7%
12
 
2.5%
8
 
1.7%
Other values (123) 298
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 455
95.4%
Decimal Number 17
 
3.6%
Space Separator 2
 
0.4%
Open Punctuation 1
 
0.2%
Other Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
30
 
6.6%
30
 
6.6%
22
 
4.8%
20
 
4.4%
16
 
3.5%
15
 
3.3%
13
 
2.9%
13
 
2.9%
12
 
2.6%
8
 
1.8%
Other values (112) 276
60.7%
Decimal Number
ValueCountFrequency (%)
2 5
29.4%
1 5
29.4%
3 3
17.6%
6 1
 
5.9%
7 1
 
5.9%
9 1
 
5.9%
8 1
 
5.9%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 455
95.4%
Common 22
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
30
 
6.6%
30
 
6.6%
22
 
4.8%
20
 
4.4%
16
 
3.5%
15
 
3.3%
13
 
2.9%
13
 
2.9%
12
 
2.6%
8
 
1.8%
Other values (112) 276
60.7%
Common
ValueCountFrequency (%)
2 5
22.7%
1 5
22.7%
3 3
13.6%
2
 
9.1%
6 1
 
4.5%
7 1
 
4.5%
( 1
 
4.5%
, 1
 
4.5%
) 1
 
4.5%
9 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 454
95.2%
ASCII 22
 
4.6%
Compat Jamo 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
30
 
6.6%
30
 
6.6%
22
 
4.8%
20
 
4.4%
16
 
3.5%
15
 
3.3%
13
 
2.9%
13
 
2.9%
12
 
2.6%
8
 
1.8%
Other values (111) 275
60.6%
ASCII
ValueCountFrequency (%)
2 5
22.7%
1 5
22.7%
3 3
13.6%
2
 
9.1%
6 1
 
4.5%
7 1
 
4.5%
( 1
 
4.5%
, 1
 
4.5%
) 1
 
4.5%
9 1
 
4.5%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

수량
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size468.0 B
1점
18 
1폭
1책
1구
1동
Other values (9)
10 

Length

Max length12
Median length2
Mean length2.547619
Min length2

Unique

Unique8 ?
Unique (%)19.0%

Sample

1st row1동
2nd row1점
3rd row1동
4th row11,820㎡ (5필)
5th row23,703㎡(4필)

Common Values

ValueCountFrequency (%)
1점 18
42.9%
1폭 5
 
11.9%
1책 4
 
9.5%
1구 3
 
7.1%
1동 2
 
4.8%
1기 2
 
4.8%
11,820㎡ (5필) 1
 
2.4%
23,703㎡(4필) 1
 
2.4%
2점 1
 
2.4%
13책 1
 
2.4%
Other values (4) 4
 
9.5%

Length

2023-12-11T08:54:51.178268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1점 18
41.9%
1폭 5
 
11.6%
1책 4
 
9.3%
1구 3
 
7.0%
1동 2
 
4.7%
1기 2
 
4.7%
11,820㎡ 1
 
2.3%
5필 1
 
2.3%
23,703㎡(4필 1
 
2.3%
2점 1
 
2.3%
Other values (5) 5
 
11.6%

소유자
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Memory size468.0 B
통도사
22 
성전암
 
2
안적암
 
2
이창진
 
2
취운암
 
1
Other values (13)
13 

Length

Max length9
Median length3
Mean length3.547619
Min length3

Unique

Unique14 ?
Unique (%)33.3%

Sample

1st row통도사
2nd row안적암
3rd row보존회
4th row단양우씨 문중
5th row양산시

Common Values

ValueCountFrequency (%)
통도사 22
52.4%
성전암 2
 
4.8%
안적암 2
 
4.8%
이창진 2
 
4.8%
취운암 1
 
2.4%
보존회 1
 
2.4%
단양우씨 문중 1
 
2.4%
양산시 1
 
2.4%
가락김씨 양산문중 1
 
2.4%
내원사 1
 
2.4%
Other values (8) 8
 
19.0%

Length

2023-12-11T08:54:51.323102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
통도사 22
44.9%
안적암 2
 
4.1%
이창진 2
 
4.1%
문중 2
 
4.1%
성전암 2
 
4.1%
광천사 1
 
2.0%
부여백씨 1
 
2.0%
1
 
2.0%
1
 
2.0%
1
 
2.0%
Other values (14) 14
28.6%

소재지
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
경상남도 양산시 하북면 통도사로 108
23 
경상남도 양산시 북정로 78 양산시립박물관
경상남도 양산시 하북면 평산로 138-2011
 
2
경상남도 양산시 소주동 용주로 300
 
2
경상남도 양산시 서창동 당촌길70
 
1
Other values (11)
11 

Length

Max length25
Median length21
Mean length20.952381
Min length16

Unique

Unique12 ?
Unique (%)28.6%

Sample

1st row경상남도 양산시 하북면 통도사로 108
2nd row경상남도 양산시 하북면 평산로 138-2011
3rd row경상남도 양산시 서창동 당촌길70
4th row경상남도 양산시 어곡동 산337
5th row경상남도 양산시 물금읍 물금 산-1

Common Values

ValueCountFrequency (%)
경상남도 양산시 하북면 통도사로 108 23
54.8%
경상남도 양산시 북정로 78 양산시립박물관 3
 
7.1%
경상남도 양산시 하북면 평산로 138-2011 2
 
4.8%
경상남도 양산시 소주동 용주로 300 2
 
4.8%
경상남도 양산시 서창동 당촌길70 1
 
2.4%
경상남도 양산시 어곡동 산337 1
 
2.4%
경상남도 양산시 물금읍 물금 산-1 1
 
2.4%
경상남도 양산시 양산시립박물관 1
 
2.4%
경상남도 양산시 하북면 백록로 223 1
 
2.4%
경상남도 양산시 하북면 내원로 207 1
 
2.4%
Other values (6) 6
 
14.3%

Length

2023-12-11T08:54:51.485575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경상남도 42
20.3%
양산시 42
20.3%
하북면 29
14.0%
통도사로 23
11.1%
108 23
11.1%
양산시립박물관 4
 
1.9%
북정로 3
 
1.4%
78 3
 
1.4%
물금읍 3
 
1.4%
용주로 2
 
1.0%
Other values (28) 33
15.9%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.445353
Minimum35.303029
Maximum35.487915
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T08:54:51.602328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.303029
5-th percentile35.317346
Q135.426584
median35.487915
Q335.487915
95-th percentile35.487915
Maximum35.487915
Range0.184886
Interquartile range (IQR)0.06133075

Descriptive statistics

Standard deviation0.060554558
Coefficient of variation (CV)0.001708392
Kurtosis0.16081192
Mean35.445353
Median Absolute Deviation (MAD)0
Skewness-1.233497
Sum1488.7048
Variance0.0036668546
MonotonicityNot monotonic
2023-12-11T08:54:51.707819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
35.487915 23
54.8%
35.358455 4
 
9.5%
35.431289 2
 
4.8%
35.324004 1
 
2.4%
35.443318 1
 
2.4%
35.316996 1
 
2.4%
35.470835 1
 
2.4%
35.457561 1
 
2.4%
35.303029 1
 
2.4%
35.398116 1
 
2.4%
Other values (6) 6
 
14.3%
ValueCountFrequency (%)
35.303029 1
 
2.4%
35.303824 1
 
2.4%
35.316996 1
 
2.4%
35.324004 1
 
2.4%
35.358455 4
9.5%
35.394489 1
 
2.4%
35.398116 1
 
2.4%
35.425016 1
 
2.4%
35.431289 2
4.8%
35.435401 1
 
2.4%
ValueCountFrequency (%)
35.487915 23
54.8%
35.470835 1
 
2.4%
35.466581 1
 
2.4%
35.457561 1
 
2.4%
35.447201 1
 
2.4%
35.443318 1
 
2.4%
35.435401 1
 
2.4%
35.431289 2
 
4.8%
35.425016 1
 
2.4%
35.398116 1
 
2.4%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.06572
Minimum128.89531
Maximum129.17706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T08:54:51.832179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.89531
5-th percentile128.9931
Q1129.06434
median129.06434
Q3129.06434
95-th percentile129.15709
Maximum129.17706
Range0.281748
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04809739
Coefficient of variation (CV)0.00037265812
Kurtosis3.7497899
Mean129.06572
Median Absolute Deviation (MAD)0
Skewness-0.60653256
Sum5420.7603
Variance0.0023133589
MonotonicityNot monotonic
2023-12-11T08:54:51.988658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
129.064337 23
54.8%
129.048755 4
 
9.5%
129.158001 2
 
4.8%
128.994879 1
 
2.4%
129.136475 1
 
2.4%
128.976347 1
 
2.4%
129.099648 1
 
2.4%
129.088035 1
 
2.4%
129.04383 1
 
2.4%
128.895313 1
 
2.4%
Other values (6) 6
 
14.3%
ValueCountFrequency (%)
128.895313 1
 
2.4%
128.976347 1
 
2.4%
128.993004 1
 
2.4%
128.994879 1
 
2.4%
129.024732 1
 
2.4%
129.04383 1
 
2.4%
129.048755 4
 
9.5%
129.064337 23
54.8%
129.088035 1
 
2.4%
129.089933 1
 
2.4%
ValueCountFrequency (%)
129.177061 1
 
2.4%
129.158001 2
 
4.8%
129.139773 1
 
2.4%
129.136475 1
 
2.4%
129.110523 1
 
2.4%
129.099648 1
 
2.4%
129.089933 1
 
2.4%
129.088035 1
 
2.4%
129.064337 23
54.8%
129.048755 4
 
9.5%
Distinct25
Distinct (%)59.5%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum1985-01-14 00:00:00
Maximum2019-12-26 00:00:00
2023-12-11T08:54:52.138989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:54:52.286282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

연락처
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
055-382-7182
20 
<NA>
10 
055-392-2119
055-392-2551
 
2
055-374-6466
 
1
Other values (4)

Length

Max length12
Median length12
Mean length10.095238
Min length4

Unique

Unique5 ?
Unique (%)11.9%

Sample

1st row055-382-7182
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row055-392-2119

Common Values

ValueCountFrequency (%)
055-382-7182 20
47.6%
<NA> 10
23.8%
055-392-2119 5
 
11.9%
055-392-2551 2
 
4.8%
055-374-6466 1
 
2.4%
055-383-6479 1
 
2.4%
055-386-0715 1
 
2.4%
055-383-3721 1
 
2.4%
055-384-5111 1
 
2.4%

Length

2023-12-11T08:54:52.445993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:54:52.626970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
055-382-7182 20
47.6%
na 10
23.8%
055-392-2119 5
 
11.9%
055-392-2551 2
 
4.8%
055-374-6466 1
 
2.4%
055-383-6479 1
 
2.4%
055-386-0715 1
 
2.4%
055-383-3721 1
 
2.4%
055-384-5111 1
 
2.4%

관리 단체
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
통도사
20 
양산시
안적암
 
2
성전암
 
2
남강서원
 
2
Other values (11)
12 

Length

Max length14
Median length3
Mean length3.5238095
Min length3

Unique

Unique10 ?
Unique (%)23.8%

Sample

1st row통도사
2nd row안적암
3rd row보존회
4th row단양우씨 문중
5th row양산시

Common Values

ValueCountFrequency (%)
통도사 20
47.6%
양산시 4
 
9.5%
안적암 2
 
4.8%
성전암 2
 
4.8%
남강서원 2
 
4.8%
서운암 2
 
4.8%
보존회 1
 
2.4%
단양우씨 문중 1
 
2.4%
양산시 (가락김씨양산문중) 1
 
2.4%
내원사 1
 
2.4%
Other values (6) 6
 
14.3%

Length

2023-12-11T08:54:52.795476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
통도사 20
44.4%
양산시 5
 
11.1%
남강서원 2
 
4.4%
서운암 2
 
4.4%
문중 2
 
4.4%
성전암 2
 
4.4%
안적암 2
 
4.4%
보존회 1
 
2.2%
단양우씨 1
 
2.2%
가락김씨양산문중 1
 
2.2%
Other values (7) 7
 
15.6%

출처
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
기본현황
42 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기본현황 42
100.0%

Length

2023-12-11T08:54:52.925849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:54:53.010471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기본현황 42
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
2021-08-03
42 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-08-03
2nd row2021-08-03
3rd row2021-08-03
4th row2021-08-03
5th row2021-08-03

Common Values

ValueCountFrequency (%)
2021-08-03 42
100.0%

Length

2023-12-11T08:54:53.096700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:54:53.176324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-08-03 42
100.0%

Interactions

2023-12-11T08:54:49.247313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:54:49.043293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:54:49.378448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:54:49.144978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:54:53.237415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정 번호문화재명수량소유자소재지위도경도지정일연락처관리 단체
지정 번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
문화재명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
수량1.0001.0001.0000.9520.9270.8780.8540.9090.9050.899
소유자1.0001.0000.9521.0000.9931.0000.9870.9681.0000.993
소재지1.0001.0000.9270.9931.0001.0001.0000.9680.9670.998
위도1.0001.0000.8781.0001.0001.0000.9830.9180.9790.983
경도1.0001.0000.8540.9871.0000.9831.0000.9590.9550.976
지정일1.0001.0000.9090.9680.9680.9180.9591.0000.9640.975
연락처1.0001.0000.9051.0000.9670.9790.9550.9641.0001.000
관리 단체1.0001.0000.8990.9930.9980.9830.9760.9751.0001.000
2023-12-11T08:54:53.351542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지연락처관리 단체수량소유자
소재지1.0000.8800.8890.6340.904
연락처0.8801.0000.9790.6030.913
관리 단체0.8890.9791.0000.5620.904
수량0.6340.6030.5621.0000.675
소유자0.9040.9130.9040.6751.000
2023-12-11T08:54:53.442155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도수량소유자소재지연락처관리 단체
위도1.0000.3210.5750.8280.8880.9010.823
경도0.3211.0000.5070.8060.8880.8510.805
수량0.5750.5071.0000.6750.6340.6030.562
소유자0.8280.8060.6751.0000.9040.9130.904
소재지0.8880.8880.6340.9041.0000.8800.889
연락처0.9010.8510.6030.9130.8801.0000.979
관리 단체0.8230.8050.5620.9040.8890.9791.000

Missing values

2023-12-11T08:54:49.515040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:54:49.685385image/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

지정 번호문화재명수량소유자소재지위도경도지정일연락처관리 단체출처데이터기준일자
0144통도사장경각1동통도사경상남도 양산시 하북면 통도사로 10835.487915129.0643371985-01-14055-382-7182통도사기본현황2021-08-03
1169안적암동종1점안적암경상남도 양산시 하북면 평산로 138-201135.435401129.1397731988-12-23<NA>안적암기본현황2021-08-03
2187우불산신사1동보존회경상남도 양산시 서창동 당촌길7035.425016129.1770611991-12-23<NA>보존회기본현황2021-08-03
3189양산어곡동우규동별서11,820㎡ (5필)단양우씨 문중경상남도 양산시 어곡동 산33735.394489129.0247321992-10-21<NA>단양우씨 문중기본현황2021-08-03
4276물금증산리왜성23,703㎡(4필)양산시경상남도 양산시 물금읍 물금 산-135.303824128.9930041998-11-13055-392-2119양산시기본현황2021-08-03
5287양산백운암지장탱화1점통도사경상남도 양산시 하북면 통도사로 10835.487915129.0643372000-01-31055-382-7182통도사기본현황2021-08-03
6294양산지산리부부상2점가락김씨 양산문중경상남도 양산시 양산시립박물관35.358455129.0487552001-05-03055-392-2119양산시 (가락김씨양산문중)기본현황2021-08-03
7298통도사동치8년명신중도1점통도사경상남도 양산시 하북면 통도사로 10835.487915129.0643372001-09-18055-382-7182통도사기본현황2021-08-03
8299통도사광서19년명신중도1점통도사경상남도 양산시 하북면 통도사로 10835.487915129.0643372001-09-18055-382-7182통도사기본현황2021-08-03
9300통도사광서16년명신중도1점통도사경상남도 양산시 하북면 통도사로 10835.487915129.0643372001-09-18055-382-7182통도사기본현황2021-08-03
지정 번호문화재명수량소유자소재지위도경도지정일연락처관리 단체출처데이터기준일자
32572양산남강서원소장어정두륙천선4책이창진경상남도 양산시 소주동 용주로 30035.431289129.1580012013-10-31055-392-2551남강서원기본현황2021-08-03
33579양산통도사백련암용선접인도1폭통도사경상남도 양산시 하북면 통도사로 10835.487915129.0643372014-03-20055-382-7182통도사기본현황2021-08-03
34591양산성전암신중도1점성전암경상남도 양산시 하북면 백록리 22435.470835129.0996482015-06-11<NA>성전암기본현황2021-08-03
35593양산황산잔로비1기용화사경상남도 양산시 물금읍 원동로 19 -1335.316996128.9763472015-07-30055-384-5111용화사기본현황2021-08-03
36615박정빈관련교지12점박 훈 일경상남도 양산시 북정로 78 양산시립박물관35.358455129.0487552016-02-04055-392-2119양산시기본현황2021-08-03
37616박정빈초상1폭양 산 시경상남도 양산시 북정로 78 양산시립박물관35.358455129.0487552016-02-04055-392-2119양산시기본현황2021-08-03
38630양산안적암아미타불회도1점안적암경상남도 양산시 하북면 평산로 138-201135.443318129.1364752016-09-29<NA>안적암기본현황2021-08-03
39641구포환속상서문12매양산시립박물관경상남도 양산시 북정로 78 양산시립박물관35.358455129.0487552018-04-26055-392-2119양산시기본현황2021-08-03
40653양산통도사서운암훈유어필1책통도사경상남도 양산시 하북면 통도사로 10835.487915129.0643372018-12-20<NA>서운암기본현황2021-08-03
41665양산통도사 서운암 묘법연화경1책통도사경상남도 양산시 하북면 통도사로 10835.487915129.0643372019-12-26<NA>서운암기본현황2021-08-03