Overview

Dataset statistics

Number of variables12
Number of observations41
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory101.2 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
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
소재지 is highly overall correlated with 위도 and 5 other fieldsHigh correlation
지정번호 has unique valuesUnique
문화재명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:54:54.549033
Analysis finished2023-12-10 23:54:56.152929
Duration1.6 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지정번호
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-11T08:54:56.326951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.2926829
Min length3

Characters and Unicode

Total characters135
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

Unique41 ?
Unique (%)100.0%

Sample

1st row144
2nd row169
3rd row187
4th row189
5th row276
ValueCountFrequency (%)
144 1
 
2.4%
342 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%
570 1
 
2.4%
Other values (31) 31
75.6%
2023-12-11T08:54:56.707597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 25
18.5%
1 21
15.6%
2 14
10.4%
6 13
9.6%
5 12
8.9%
9 10
 
7.4%
8 10
 
7.4%
4 9
 
6.7%
7 9
 
6.7%
0 6
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 129
95.6%
Dash Punctuation 6
 
4.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 25
19.4%
1 21
16.3%
2 14
10.9%
6 13
10.1%
5 12
9.3%
9 10
 
7.8%
8 10
 
7.8%
4 9
 
7.0%
7 9
 
7.0%
0 6
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 135
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 25
18.5%
1 21
15.6%
2 14
10.4%
6 13
9.6%
5 12
8.9%
9 10
 
7.4%
8 10
 
7.4%
4 9
 
6.7%
7 9
 
6.7%
0 6
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 135
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 25
18.5%
1 21
15.6%
2 14
10.4%
6 13
9.6%
5 12
8.9%
9 10
 
7.4%
8 10
 
7.4%
4 9
 
6.7%
7 9
 
6.7%
0 6
 
4.4%

문화재명
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-11T08:54:56.984656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length15
Mean length11.268293
Min length5

Characters and Unicode

Total characters462
Distinct characters132
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row통도사장경각
2nd row안적암동종
3rd row우불산신사
4th row양산어곡동우규동별서
5th row물금증산리왜성
ValueCountFrequency (%)
통도사장경각 1
 
2.4%
양산내원사석조보살좌상 1
 
2.4%
통도사극락암석조관음보살좌상 1
 
2.4%
통도사극락암도광원년아미타후불탱 1
 
2.4%
통도사극락암가경이십삼년신중탱 1
 
2.4%
통도사극락암청동반자 1
 
2.4%
천태정사목조아미타여래좌상및복장유물 1
 
2.4%
양산가촌리송담사묘정비 1
 
2.4%
양산법천사묘법연화경1ㆍ2 1
 
2.4%
양산광천사현수제승법수 1
 
2.4%
Other values (31) 31
75.6%
2023-12-11T08:54:57.333594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 29
 
6.3%
도 29
 
6.3%
통 21
 
4.5%
산 19
 
4.1%
양 15
 
3.2%
암 14
 
3.0%
탱 13
 
2.8%
서 12
 
2.6%
년 12
 
2.6%
장 8
 
1.7%
Other values (122) 290
62.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 442
95.7%
Decimal Number 17
 
3.7%
Open Punctuation 1
 
0.2%
Other Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 29
 
6.6%
도 29
 
6.6%
통 21
 
4.8%
산 19
 
4.3%
양 15
 
3.4%
암 14
 
3.2%
탱 13
 
2.9%
서 12
 
2.7%
년 12
 
2.7%
장 8
 
1.8%
Other values (112) 270
61.1%
Decimal Number
ValueCountFrequency (%)
2 5
29.4%
1 5
29.4%
3 3
17.6%
8 1
 
5.9%
9 1
 
5.9%
6 1
 
5.9%
7 1
 
5.9%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 442
95.7%
Common 20
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 29
 
6.6%
도 29
 
6.6%
통 21
 
4.8%
산 19
 
4.3%
양 15
 
3.4%
암 14
 
3.2%
탱 13
 
2.9%
서 12
 
2.7%
년 12
 
2.7%
장 8
 
1.8%
Other values (112) 270
61.1%
Common
ValueCountFrequency (%)
2 5
25.0%
1 5
25.0%
3 3
15.0%
8 1
 
5.0%
9 1
 
5.0%
6 1
 
5.0%
7 1
 
5.0%
( 1
 
5.0%
, 1
 
5.0%
) 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 441
95.5%
ASCII 20
 
4.3%
Compat Jamo 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 29
 
6.6%
도 29
 
6.6%
통 21
 
4.8%
산 19
 
4.3%
양 15
 
3.4%
암 14
 
3.2%
탱 13
 
2.9%
서 12
 
2.7%
년 12
 
2.7%
장 8
 
1.8%
Other values (111) 269
61.0%
ASCII
ValueCountFrequency (%)
2 5
25.0%
1 5
25.0%
3 3
15.0%
8 1
 
5.0%
9 1
 
5.0%
6 1
 
5.0%
7 1
 
5.0%
( 1
 
5.0%
, 1
 
5.0%
) 1
 
5.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

수량
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)34.1%
Missing0
Missing (%)0.0%
Memory size460.0 B
1점
18 
1폭
5 
1구
3 
1책
3 
1동
2 
Other values (9)
10 

Length

Max length12
Median length2
Mean length2.5609756
Min length2

Unique

Unique8 ?
Unique (%)19.5%

Sample

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

Common Values

ValueCountFrequency (%)
1점 18
43.9%
1폭 5
 
12.2%
1구 3
 
7.3%
1책 3
 
7.3%
1동 2
 
4.9%
1기 2
 
4.9%
11,820㎡ (5필) 1
 
2.4%
23,703㎡(4필) 1
 
2.4%
2점 1
 
2.4%
13책 1
 
2.4%
Other values (4) 4
 
9.8%

Length

2023-12-11T08:54:57.484670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1점 18
42.9%
1폭 5
 
11.9%
1구 3
 
7.1%
1책 3
 
7.1%
1동 2
 
4.8%
1기 2
 
4.8%
11,820㎡ 1
 
2.4%
5필 1
 
2.4%
23,703㎡(4필 1
 
2.4%
2점 1
 
2.4%
Other values (5) 5
 
11.9%

소유자
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)43.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
통도사
21 
성전암
 
2
안적암
 
2
이창진
 
2
취운암
 
1
Other values (13)
13 

Length

Max length9
Median length3
Mean length3.5609756
Min length3

Unique

Unique14 ?
Unique (%)34.1%

Sample

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

Common Values

ValueCountFrequency (%)
통도사 21
51.2%
성전암 2
 
4.9%
안적암 2
 
4.9%
이창진 2
 
4.9%
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
 
19.5%

Length

2023-12-11T08:54:57.604404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
통도사 21
43.8%
안적암 2
 
4.2%
이창진 2
 
4.2%
문중 2
 
4.2%
성전암 2
 
4.2%
광천사 1
 
2.1%
부여백씨 1
 
2.1%
시 1
 
2.1%
산 1
 
2.1%
양 1
 
2.1%
Other values (14) 14
29.2%

소재지
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)41.5%
Missing0
Missing (%)0.0%
Memory size460.0 B
경상남도 양산시 하북면 통도사로 108
22 
경상남도 양산시 북정로 78 양산시립박물관
3 
경상남도 양산시 소주동 용주로 300
 
2
경상남도 양산시 하북면 내원로 207
 
1
경상남도 양산시 서창동 당촌길70
 
1
Other values (12)
12 

Length

Max length25
Median length21
Mean length20.926829
Min length16

Unique

Unique14 ?
Unique (%)34.1%

Sample

1st row경상남도 양산시 하북면 통도사로 108
2nd row경상남도 양산시 하북면 평산로 138-201
3rd row경상남도 양산시 서창동 당촌길70
4th row경상남도 양산시 어곡동 산3 7
5th row경상남도 양산시 물금읍 물금 산-1

Common Values

ValueCountFrequency (%)
경상남도 양산시 하북면 통도사로 108 22
53.7%
경상남도 양산시 북정로 78 양산시립박물관 3
 
7.3%
경상남도 양산시 소주동 용주로 300 2
 
4.9%
경상남도 양산시 하북면 내원로 207 1
 
2.4%
경상남도 양산시 서창동 당촌길70 1
 
2.4%
경상남도 양산시 어곡동 산3 7 1
 
2.4%
경상남도 양산시 물금읍 물금 산-1 1
 
2.4%
경상남도 양산시 양산시립박물관 1
 
2.4%
경상남도 양산시 하북면 백록로 2 3 1
 
2.4%
경상남도 양산시 원동면 천태로 1029 1
 
2.4%
Other values (7) 7
 
17.1%

Length

2023-12-11T08:54:57.748472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경상남도 41
19.9%
양산시 41
19.9%
하북면 28
13.6%
통도사로 22
10.7%
108 22
10.7%
양산시립박물관 4
 
1.9%
물금읍 3
 
1.5%
북정로 3
 
1.5%
78 3
 
1.5%
평산로 2
 
1.0%
Other values (32) 37
18.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)39.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.444315
Minimum35.303029
Maximum35.487915
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-11T08:54:57.882030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.303029
5-th percentile35.316996
Q135.425016
median35.487915
Q335.487915
95-th percentile35.487915
Maximum35.487915
Range0.184886
Interquartile range (IQR)0.062899

Descriptive statistics

Standard deviation0.060927272
Coefficient of variation (CV)0.0017189575
Kurtosis0.068415765
Mean35.444315
Median Absolute Deviation (MAD)0
Skewness-1.1980052
Sum1453.2169
Variance0.0037121325
MonotonicityNot monotonic
2023-12-11T08:54:58.031302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
35.487915 22
53.7%
35.358455 4
 
9.8%
35.431289 2
 
4.9%
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
 
14.6%
ValueCountFrequency (%)
35.303029 1
 
2.4%
35.303824 1
 
2.4%
35.316996 1
 
2.4%
35.324004 1
 
2.4%
35.358455 4
9.8%
35.394489 1
 
2.4%
35.398116 1
 
2.4%
35.425016 1
 
2.4%
35.431289 2
4.9%
35.435401 1
 
2.4%
ValueCountFrequency (%)
35.487915 22
53.7%
35.470835 1
 
2.4%
35.466581 1
 
2.4%
35.457561 1
 
2.4%
35.4472 1
 
2.4%
35.443318 1
 
2.4%
35.435401 1
 
2.4%
35.431289 2
 
4.9%
35.425016 1
 
2.4%
35.398116 1
 
2.4%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)39.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.06576
Minimum128.89531
Maximum129.17706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-11T08:54:58.152053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.89531
5-th percentile128.993
Q1129.06434
median129.06434
Q3129.06434
95-th percentile129.158
Maximum129.17706
Range0.281748
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.048694391
Coefficient of variation (CV)0.00037728359
Kurtosis3.600452
Mean129.06576
Median Absolute Deviation (MAD)0
Skewness-0.60202767
Sum5291.696
Variance0.0023711438
MonotonicityNot monotonic
2023-12-11T08:54:58.259627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
129.064337 22
53.7%
129.048755 4
 
9.8%
129.158001 2
 
4.9%
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
 
14.6%
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
 
9.8%
129.064337 22
53.7%
129.088035 1
 
2.4%
129.089933 1
 
2.4%
ValueCountFrequency (%)
129.177061 1
 
2.4%
129.158001 2
 
4.9%
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 22
53.7%
129.048755 4
 
9.8%

지정일
Date

Distinct23
Distinct (%)56.1%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum1985-01-14 00:00:00
Maximum2018-12-20 00:00:00
2023-12-11T08:54:58.385356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:54:58.513826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

연락처
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
055-382-7182
20 
<NA>
9 
055-392-2119
5 
055-392-2551
 
2
055-374-6466
 
1
Other values (4)
4 

Length

Max length12
Median length12
Mean length10.243902
Min length4

Unique

Unique5 ?
Unique (%)12.2%

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
48.8%
<NA> 9
22.0%
055-392-2119 5
 
12.2%
055-392-2551 2
 
4.9%
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

2023-12-11T08:54:58.638853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:54:58.765860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
055-382-7182 20
48.8%
na 9
22.0%
055-392-2119 5
 
12.2%
055-392-2551 2
 
4.9%
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 (%)39.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
통도사
20 
양산시
4 
안적암
 
2
성전암
 
2
남강서원
 
2
Other values (11)
11 

Length

Max length14
Median length3
Mean length3.5365854
Min length3

Unique

Unique11 ?
Unique (%)26.8%

Sample

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

Common Values

ValueCountFrequency (%)
통도사 20
48.8%
양산시 4
 
9.8%
안적암 2
 
4.9%
성전암 2
 
4.9%
남강서원 2
 
4.9%
보존회 1
 
2.4%
단양우씨 문중 1
 
2.4%
양산시 (가락김씨양산문중) 1
 
2.4%
내원사 1
 
2.4%
취운암 1
 
2.4%
Other values (6) 6
 
14.6%

Length

2023-12-11T08:54:58.921269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
통도사 20
45.5%
양산시 5
 
11.4%
안적암 2
 
4.5%
성전암 2
 
4.5%
남강서원 2
 
4.5%
문중 2
 
4.5%
천태정사 1
 
2.3%
용화사 1
 
2.3%
광천사 1
 
2.3%
법천사 1
 
2.3%
Other values (7) 7
 
15.9%

출처
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
기본현황
41 

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 41
100.0%

Length

2023-12-11T08:54:59.043507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:54:59.163439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기본현황 41
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
2020-11-30
41 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-11-30
2nd row2020-11-30
3rd row2020-11-30
4th row2020-11-30
5th row2020-11-30

Common Values

ValueCountFrequency (%)
2020-11-30 41
100.0%

Length

2023-12-11T08:54:59.272871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:54:59.373408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-11-30 41
100.0%

Interactions

2023-12-11T08:54:55.275028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:54:55.081181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:54:55.398096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:54:55.173037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:54:59.439170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정번호문화재명수량소유자소재지위도경도지정일연락처관리 단체
지정번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
문화재명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
수량1.0001.0001.0000.9540.9260.8800.8540.9190.9050.895
소유자1.0001.0000.9541.0000.9871.0000.9870.9701.0000.993
소재지1.0001.0000.9260.9871.0001.0001.0000.9740.9670.986
위도1.0001.0000.8801.0001.0001.0000.9830.9270.9790.982
경도1.0001.0000.8540.9871.0000.9831.0000.9620.9550.975
지정일1.0001.0000.9190.9700.9740.9270.9621.0000.9920.977
연락처1.0001.0000.9051.0000.9670.9790.9550.9921.0001.000
관리 단체1.0001.0000.8950.9930.9860.9820.9750.9771.0001.000
2023-12-11T08:54:59.554867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지연락처관리 단체수량소유자
소재지1.0000.8800.8640.6130.866
연락처0.8801.0000.9790.6030.913
관리 단체0.8640.9791.0000.5530.902
수량0.6130.6030.5531.0000.682
소유자0.8660.9130.9020.6821.000
2023-12-11T08:54:59.654505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도수량소유자소재지연락처관리 단체
위도1.0000.3290.5780.8220.8660.9010.819
경도0.3291.0000.5040.8000.8660.8510.800
수량0.5780.5041.0000.6820.6130.6030.553
소유자0.8220.8000.6821.0000.8660.9130.902
소재지0.8660.8660.6130.8661.0000.8800.864
연락처0.9010.8510.6030.9130.8801.0000.979
관리 단체0.8190.8000.5530.9020.8640.9791.000

Missing values

2023-12-11T08:54:55.566755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:54:56.077213image/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

지정번호문화재명수량소유자소재지위도경도지정일연락처관리 단체출처데이터기준일자
0144통도사장경각1동통도사경상남도 양산시 하북면 통도사로 10835.487915129.0643371985-01-14055-382-7182통도사기본현황2020-11-30
1169안적암동종1점안적암경상남도 양산시 하북면 평산로 138-20135.435401129.1397731988-12-23<NA>안적암기본현황2020-11-30
2187우불산신사1동보존회경상남도 양산시 서창동 당촌길7035.425016129.1770611991-12-23<NA>보존회기본현황2020-11-30
3189양산어곡동우규동별서11,820㎡ (5필)단양우씨 문중경상남도 양산시 어곡동 산3 735.394489129.0247321992-10-21<NA>단양우씨 문중기본현황2020-11-30
4276물금증산리왜성23,703㎡(4필)양산시경상남도 양산시 물금읍 물금 산-135.303824128.9930041998-11-13055-392-2119양산시기본현황2020-11-30
5287양산백운암지장탱화1점통도사경상남도 양산시 하북면 통도사로 10835.487915129.0643372000-01-31055-382-7182통도사기본현황2020-11-30
6294양산지산리부부상2점가락김씨 양산문중경상남도 양산시 양산시립박물관35.358455129.0487552001-05-03055-392-2119양산시 (가락김씨양산문중)기본현황2020-11-30
7298통도사동치8년명신중도1점통도사경상남도 양산시 하북면 통도사로 10835.487915129.0643372001-09-18055-382-7182통도사기본현황2020-11-30
8299통도사광서19년명신중도1점통도사경상남도 양산시 하북면 통도사로 10835.487915129.0643372001-09-18055-382-7182통도사기본현황2020-11-30
9300통도사광서16년명신중도1점통도사경상남도 양산시 하북면 통도사로 10835.487915129.0643372001-09-18055-382-7182통도사기본현황2020-11-30
지정번호문화재명수량소유자소재지위도경도지정일연락처관리 단체출처데이터기준일자
31571양산남강서원소장어정사부수권12책이창진경상남도 양산시 소주동 용주로 30035.431289129.1580012013-10-31055-392-2551남강서원기본현황2020-11-30
32572양산남강서원소장어정두륙천선4책이창진경상남도 양산시 소주동 용주로 30035.431289129.1580012013-10-31055-392-2551남강서원기본현황2020-11-30
33579양산통도사백련암용선접인도1폭통도사경상남도 양산시 하북면 통도사로 10835.487915129.0643372014-03-20055-382-7182통도사기본현황2020-11-30
34591양산성전암신중도1점성전암경상남도 양산시 하북면 백록리 2 435.470835129.0996482015-06-11<NA>성전암기본현황2020-11-30
35593양산황산잔로비1기용화사경상남도 양산시 물금읍 원동로 19 -1335.316996128.9763472015-07-30055-384-5111용화사기본현황2020-11-30
36615박정빈관련교지12점박 훈 일경상남도 양산시 북정로 78 양산시립박물관35.358455129.0487552016-02-04055-392-2119양산시기본현황2020-11-30
37616박정빈초상1폭양 산 시경상남도 양산시 북정로 78 양산시립박물관35.358455129.0487552016-02-04055-392-2119양산시기본현황2020-11-30
38630양산안적암아미타불회도1점안적암경상남도 양산시 하북면 평산로 138-201135.443318129.1364752016-09-29<NA>안적암기본현황2020-11-30
39641구포환속상서문12매양산시립박물관경상남도 양산시 북정로 78 양산시립박물관35.358455129.0487552018-04-26055-392-2119양산시기본현황2020-11-30
40653양산통도사서운암훈유어필1책통도사경상남도 양산시 하북면 통도사로 10835.487915129.0643372018-12-20<NA>서운암기본현황2020-11-30