Overview

Dataset statistics

Number of variables17
Number of observations104
Missing cells409
Missing cells (%)23.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.1 KiB
Average record size in memory139.3 B

Variable types

Categorical9
Text5
Numeric2
DateTime1

Dataset

Description경상남도 양산시 문화재 지정 현황에 대한 데이터로 지정번호, 문화재명, 면적, 수량, 소재지 등의 항목을 제공합니다.
Author경상남도 양산시
URLhttps://www.data.go.kr/data/15074062/fileData.do

Alerts

출처 has constant value ""Constant
관리단체 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 소유자 and 4 other fieldsHigh correlation
경도 is highly overall correlated with 수량 and 2 other fieldsHigh correlation
유형 is highly overall correlated with 소유자 and 3 other fieldsHigh correlation
수량 is highly overall correlated with 경도High correlation
소재지 is highly overall correlated with 위도 and 6 other fieldsHigh correlation
연락처 is highly overall correlated with 위도 and 3 other fieldsHigh correlation
지정일 is highly overall correlated with 위도 and 5 other fieldsHigh correlation
유형 is highly imbalanced (63.4%)Imbalance
데이터기준일자 is highly imbalanced (74.7%)Imbalance
보유(무형문화재) has 100 (96.2%) missing valuesMissing
면적(m2) has 97 (93.3%) missing valuesMissing
성별(무형문화재) has 100 (96.2%) missing valuesMissing
위도 has 6 (5.8%) missing valuesMissing
경도 has 6 (5.8%) missing valuesMissing
생년월일(무형문화재) has 100 (96.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 09:21:16.503183
Analysis finished2023-12-12 09:21:18.707895
Duration2.2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

유형
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size964.0 B
유형문화재
90 
기념물
 
9
무형문화재
 
4
민속자료
 
1

Length

Max length5
Median length5
Mean length4.8173077
Min length3

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
유형문화재 90
86.5%
기념물 9
 
8.7%
무형문화재 4
 
3.8%
민속자료 1
 
1.0%

Length

2023-12-12T18:21:19.078549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:21:19.237540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유형문화재 90
86.5%
기념물 9
 
8.7%
무형문화재 4
 
3.8%
민속자료 1
 
1.0%

지정번호
Text

Distinct100
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size964.0 B
2023-12-12T18:21:19.575977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length2.9230769
Min length1

Characters and Unicode

Total characters304
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)92.3%

Sample

1st row81
2nd row90
3rd row103
4th row118
5th row195
ValueCountFrequency (%)
23 2
 
1.9%
195 2
 
1.9%
196 2
 
1.9%
19 2
 
1.9%
594 1
 
1.0%
530 1
 
1.0%
529 1
 
1.0%
514 1
 
1.0%
510 1
 
1.0%
493 1
 
1.0%
Other values (90) 90
86.5%
2023-12-12T18:21:20.220628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 45
14.8%
5 45
14.8%
9 34
11.2%
4 33
10.9%
3 30
9.9%
0 28
9.2%
2 27
8.9%
6 25
8.2%
7 20
6.6%
8 15
 
4.9%
Other values (2) 2
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 302
99.3%
Dash Punctuation 1
 
0.3%
Math Symbol 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 45
14.9%
5 45
14.9%
9 34
11.3%
4 33
10.9%
3 30
9.9%
0 28
9.3%
2 27
8.9%
6 25
8.3%
7 20
6.6%
8 15
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 304
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 45
14.8%
5 45
14.8%
9 34
11.2%
4 33
10.9%
3 30
9.9%
0 28
9.2%
2 27
8.9%
6 25
8.2%
7 20
6.6%
8 15
 
4.9%
Other values (2) 2
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 304
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 45
14.8%
5 45
14.8%
9 34
11.2%
4 33
10.9%
3 30
9.9%
0 28
9.2%
2 27
8.9%
6 25
8.2%
7 20
6.6%
8 15
 
4.9%
Other values (2) 2
 
0.7%

문화재명
Text

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size964.0 B
2023-12-12T18:21:20.579832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length17
Mean length12.144231
Min length4

Characters and Unicode

Total characters1263
Distinct characters199
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)96.2%

Sample

1st row천성산, 내원사 일원
2nd row박제상 유적효충사
3rd row양산 신기동지석묘
4th row양산 원적산봉수대
5th row양산 화제리도요지
ValueCountFrequency (%)
통도사 40
 
15.9%
양산 37
 
14.7%
소장 5
 
2.0%
법천사 4
 
1.6%
양산대성암소장 4
 
1.6%
광천사 4
 
1.6%
웅상농청 2
 
0.8%
진영 2
 
0.8%
불광사 2
 
0.8%
및 2
 
0.8%
Other values (138) 150
59.5%
2023-12-12T18:21:21.130753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
208
 
16.5%
사 82
 
6.5%
도 63
 
5.0%
산 51
 
4.0%
통 46
 
3.6%
양 46
 
3.6%
장 21
 
1.7%
상 17
 
1.3%
암 15
 
1.2%
탱 15
 
1.2%
Other values (189) 699
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 980
77.6%
Space Separator 208
 
16.5%
Decimal Number 51
 
4.0%
Other Punctuation 14
 
1.1%
Close Punctuation 5
 
0.4%
Open Punctuation 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 82
 
8.4%
도 63
 
6.4%
산 51
 
5.2%
통 46
 
4.7%
양 46
 
4.7%
장 21
 
2.1%
상 17
 
1.7%
암 15
 
1.5%
탱 15
 
1.5%
경 15
 
1.5%
Other values (174) 609
62.1%
Decimal Number
ValueCountFrequency (%)
1 10
19.6%
7 8
15.7%
4 8
15.7%
0 8
15.7%
2 4
 
7.8%
5 4
 
7.8%
9 4
 
7.8%
3 3
 
5.9%
6 2
 
3.9%
Other Punctuation
ValueCountFrequency (%)
. 8
57.1%
· 5
35.7%
, 1
 
7.1%
Space Separator
ValueCountFrequency (%)
208
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 980
77.6%
Common 283
 
22.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 82
 
8.4%
도 63
 
6.4%
산 51
 
5.2%
통 46
 
4.7%
양 46
 
4.7%
장 21
 
2.1%
상 17
 
1.7%
암 15
 
1.5%
탱 15
 
1.5%
경 15
 
1.5%
Other values (174) 609
62.1%
Common
ValueCountFrequency (%)
208
73.5%
1 10
 
3.5%
7 8
 
2.8%
4 8
 
2.8%
. 8
 
2.8%
0 8
 
2.8%
) 5
 
1.8%
( 5
 
1.8%
· 5
 
1.8%
2 4
 
1.4%
Other values (5) 14
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 979
77.5%
ASCII 278
 
22.0%
None 5
 
0.4%
Compat Jamo 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
208
74.8%
1 10
 
3.6%
7 8
 
2.9%
4 8
 
2.9%
. 8
 
2.9%
0 8
 
2.9%
) 5
 
1.8%
( 5
 
1.8%
2 4
 
1.4%
5 4
 
1.4%
Other values (4) 10
 
3.6%
Hangul
ValueCountFrequency (%)
사 82
 
8.4%
도 63
 
6.4%
산 51
 
5.2%
통 46
 
4.7%
양 46
 
4.7%
장 21
 
2.1%
상 17
 
1.7%
암 15
 
1.5%
탱 15
 
1.5%
경 15
 
1.5%
Other values (173) 608
62.1%
None
ValueCountFrequency (%)
· 5
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

보유(무형문화재)
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing100
Missing (%)96.2%
Memory size964.0 B
2023-12-12T18:21:21.354965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3.5
Mean length3.5
Min length2

Characters and Unicode

Total characters14
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

Unique4 ?
Unique (%)100.0%

Sample

1st row제향
2nd row농악 상쇠
3rd row모심기노래
4th row상쇠
ValueCountFrequency (%)
상쇠 2
40.0%
제향 1
20.0%
농악 1
20.0%
모심기노래 1
20.0%
2023-12-12T18:21:21.773967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
상 2
14.3%
쇠 2
14.3%
제 1
7.1%
향 1
7.1%
농 1
7.1%
악 1
7.1%
1
7.1%
모 1
7.1%
심 1
7.1%
기 1
7.1%
Other values (2) 2
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13
92.9%
Space Separator 1
 
7.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 2
15.4%
쇠 2
15.4%
제 1
7.7%
향 1
7.7%
농 1
7.7%
악 1
7.7%
모 1
7.7%
심 1
7.7%
기 1
7.7%
노 1
7.7%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13
92.9%
Common 1
 
7.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 2
15.4%
쇠 2
15.4%
제 1
7.7%
향 1
7.7%
농 1
7.7%
악 1
7.7%
모 1
7.7%
심 1
7.7%
기 1
7.7%
노 1
7.7%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13
92.9%
ASCII 1
 
7.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
상 2
15.4%
쇠 2
15.4%
제 1
7.7%
향 1
7.7%
농 1
7.7%
악 1
7.7%
모 1
7.7%
심 1
7.7%
기 1
7.7%
노 1
7.7%
ASCII
ValueCountFrequency (%)
1
100.0%

면적(m2)
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing97
Missing (%)93.3%
Memory size964.0 B
2023-12-12T18:21:21.987800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length5
Mean length5.2857143
Min length4

Characters and Unicode

Total characters37
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

Unique7 ?
Unique (%)100.0%

Sample

1st row17,439,135
2nd row1600
3rd row3223
4th row4950
5th row43315
ValueCountFrequency (%)
17,439,135 1
14.3%
1600 1
14.3%
3223 1
14.3%
4950 1
14.3%
43315 1
14.3%
83559 1
14.3%
53518 1
14.3%
2023-12-12T18:21:22.441232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 8
21.6%
5 7
18.9%
1 5
13.5%
4 3
 
8.1%
9 3
 
8.1%
0 3
 
8.1%
, 2
 
5.4%
2 2
 
5.4%
8 2
 
5.4%
7 1
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 35
94.6%
Other Punctuation 2
 
5.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 8
22.9%
5 7
20.0%
1 5
14.3%
4 3
 
8.6%
9 3
 
8.6%
0 3
 
8.6%
2 2
 
5.7%
8 2
 
5.7%
7 1
 
2.9%
6 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 37
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 8
21.6%
5 7
18.9%
1 5
13.5%
4 3
 
8.1%
9 3
 
8.1%
0 3
 
8.1%
, 2
 
5.4%
2 2
 
5.4%
8 2
 
5.4%
7 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 8
21.6%
5 7
18.9%
1 5
13.5%
4 3
 
8.1%
9 3
 
8.1%
0 3
 
8.1%
, 2
 
5.4%
2 2
 
5.4%
8 2
 
5.4%
7 1
 
2.7%

수량
Categorical

HIGH CORRELATION 

Distinct40
Distinct (%)38.5%
Missing0
Missing (%)0.0%
Memory size964.0 B
1동
14 
1책
14 
1점
13 
<NA>
10 
1폭
7 
Other values (35)
46 

Length

Max length11
Median length2
Mean length2.4711538
Min length2

Unique

Unique28 ?
Unique (%)26.9%

Sample

1st row91필
2nd row1동
3rd row1기
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
1동 14
13.5%
1책 14
13.5%
1점 13
12.5%
<NA> 10
 
9.6%
1폭 7
 
6.7%
1기 6
 
5.8%
1권 2
 
1.9%
1좌 2
 
1.9%
12폭 2
 
1.9%
1구 2
 
1.9%
Other values (30) 32
30.8%

Length

2023-12-12T18:21:22.667242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1동 14
13.2%
1책 14
13.2%
1점 13
 
12.3%
na 10
 
9.4%
1폭 7
 
6.6%
1기 6
 
5.7%
2책 2
 
1.9%
2점 2
 
1.9%
1구 2
 
1.9%
12폭 2
 
1.9%
Other values (32) 34
32.1%

성별(무형문화재)
Text

MISSING 

Distinct2
Distinct (%)50.0%
Missing100
Missing (%)96.2%
Memory size964.0 B
2023-12-12T18:21:22.785842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)25.0%

Sample

1st row남
2nd row남
3rd row여
4th row남
ValueCountFrequency (%)
남 3
75.0%
여 1
 
25.0%
2023-12-12T18:21:23.073935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
남 3
75.0%
여 1
 
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 3
75.0%
여 1
 
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 3
75.0%
여 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
남 3
75.0%
여 1
 
25.0%

소유자
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size964.0 B
통도사
52 
양산시
15 
법천사
 
4
대성암
 
4
광천사
 
4
Other values (21)
25 

Length

Max length9
Median length3
Mean length3.1826923
Min length3

Unique

Unique17 ?
Unique (%)16.3%

Sample

1st row내원사
2nd row양산시
3rd row양산시
4th row양산시
5th row양산시

Common Values

ValueCountFrequency (%)
통도사 52
50.0%
양산시 15
 
14.4%
법천사 4
 
3.8%
대성암 4
 
3.8%
광천사 4
 
3.8%
원효암 2
 
1.9%
내원사 2
 
1.9%
가사암 2
 
1.9%
불광사 2
 
1.9%
신흥사 1
 
1.0%
Other values (16) 16
 
15.4%

Length

2023-12-12T18:21:23.289035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
통도사 53
50.0%
양산시 15
 
14.2%
법천사 4
 
3.8%
대성암 4
 
3.8%
광천사 4
 
3.8%
가사암 2
 
1.9%
불광사 2
 
1.9%
내원사 2
 
1.9%
원효암 2
 
1.9%
김진규 1
 
0.9%
Other values (17) 17
 
16.0%

소재지
Categorical

HIGH CORRELATION 

Distinct39
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Memory size964.0 B
경상남도 양산시 하북면 통도사로 108
48 
경상남도 양산시 북정동 678 시립박물관
7 
경상남도 양산시 하북면 백록로 116
 
4
경상남도 양산시 하북면 평산로 138-2315
 
4
경상남도 양산시 하북 통도사로 108
 
3
Other values (34)
38 

Length

Max length29
Median length28
Mean length21.557692
Min length15

Unique

Unique31 ?
Unique (%)29.8%

Sample

1st row경상남도 양산시 하북면 용연리 산63-1 외 90필
2nd row경상남도 양산시 상북면 박제상길 11-1
3rd row경상남도 양산시 신기동 446-1
4th row경상남도 양산시 상북면 석계리 산20
5th row경상남도 양산시 원동면 화제리 1295 외 14

Common Values

ValueCountFrequency (%)
경상남도 양산시 하북면 통도사로 108 48
46.2%
경상남도 양산시 북정동 678 시립박물관 7
 
6.7%
경상남도 양산시 하북면 백록로 116 4
 
3.8%
경상남도 양산시 하북면 평산로 138-2315 4
 
3.8%
경상남도 양산시 하북 통도사로 108 3
 
2.9%
경상남도 양산시 동면 금산2길 210 3
 
2.9%
경상남도 양산시 하북면 통도사로108 2
 
1.9%
경상남도 양산시 상북면 대석리 산6-1 2
 
1.9%
경상남도 양산시 원동면 용당들길 43-62 1
 
1.0%
경상남도 양산시 하북면 내원로 207 1
 
1.0%
Other values (29) 29
27.9%

Length

2023-12-12T18:21:23.462489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
양산시 106
20.3%
경상남도 104
19.9%
하북면 66
12.6%
통도사로 52
10.0%
108 52
10.0%
북정동 7
 
1.3%
678 7
 
1.3%
시립박물관 7
 
1.3%
동면 6
 
1.1%
외 5
 
1.0%
Other values (73) 110
21.1%

위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct27
Distinct (%)27.6%
Missing6
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean35.446823
Minimum35.285622
Maximum35.742305
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T18:21:23.610316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.285622
5-th percentile35.303021
Q135.39838
median35.48794
Q335.48794
95-th percentile35.48794
Maximum35.742305
Range0.4566825
Interquartile range (IQR)0.08956

Descriptive statistics

Standard deviation0.070956983
Coefficient of variation (CV)0.0020017868
Kurtosis2.3557387
Mean35.446823
Median Absolute Deviation (MAD)0
Skewness-0.21378212
Sum3473.7887
Variance0.0050348935
MonotonicityNot monotonic
2023-12-12T18:21:23.728760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
35.48794 54
51.9%
35.358388 8
 
7.7%
35.450233 4
 
3.8%
35.464624 4
 
3.8%
35.303021 3
 
2.9%
35.472051 2
 
1.9%
35.310709 2
 
1.9%
35.394932 2
 
1.9%
35.302999 1
 
1.0%
35.408724 1
 
1.0%
Other values (17) 17
 
16.3%
(Missing) 6
 
5.8%
ValueCountFrequency (%)
35.285622 1
 
1.0%
35.292689 1
 
1.0%
35.302999 1
 
1.0%
35.303021 3
 
2.9%
35.310709 2
 
1.9%
35.316245 1
 
1.0%
35.345093 1
 
1.0%
35.345254 1
 
1.0%
35.353789 1
 
1.0%
35.358388 8
7.7%
ValueCountFrequency (%)
35.7423045 1
 
1.0%
35.493702 1
 
1.0%
35.488076 1
 
1.0%
35.48794 54
51.9%
35.472051 2
 
1.9%
35.464624 4
 
3.8%
35.450233 4
 
3.8%
35.447184 1
 
1.0%
35.437216 1
 
1.0%
35.426416 1
 
1.0%

경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct27
Distinct (%)27.6%
Missing6
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean140.94346
Minimum128.90235
Maximum1293.0677
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T18:21:23.836811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.90235
5-th percentile129.02292
Q1129.06433
median129.06433
Q3129.06433
95-th percentile129.13109
Maximum1293.0677
Range1164.1653
Interquartile range (IQR)0

Descriptive statistics

Standard deviation117.58194
Coefficient of variation (CV)0.83424901
Kurtosis97.999982
Mean140.94346
Median Absolute Deviation (MAD)0
Skewness9.8994936
Sum13812.459
Variance13825.513
MonotonicityNot monotonic
2023-12-12T18:21:23.955307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
129.06433 54
51.9%
129.048971 8
 
7.7%
129.131089 4
 
3.8%
129.109917 4
 
3.8%
129.043841 3
 
2.9%
129.108418 2
 
1.9%
129.02291 2
 
1.9%
129.103765 2
 
1.9%
129.043838 1
 
1.0%
129.066375 1
 
1.0%
Other values (17) 17
 
16.3%
(Missing) 6
 
5.8%
ValueCountFrequency (%)
128.90235 1
1.0%
128.950907 1
1.0%
128.974914 1
1.0%
129.02291 2
1.9%
129.022924 1
1.0%
129.02705 1
1.0%
129.036634 1
1.0%
129.041921 1
1.0%
129.043159 1
1.0%
129.043838 1
1.0%
ValueCountFrequency (%)
1293.067655 1
 
1.0%
129.172462 1
 
1.0%
129.168813 1
 
1.0%
129.131089 4
3.8%
129.11672 1
 
1.0%
129.11049 1
 
1.0%
129.109917 4
3.8%
129.108418 2
1.9%
129.103765 2
1.9%
129.081371 1
 
1.0%

연락처
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Memory size964.0 B
055-382-7182
44 
<NA>
22 
055-392-2119
17 
055-383-3721
 
4
055-386-0715
 
4
Other values (12)
13 

Length

Max length12
Median length12
Mean length10.307692
Min length4

Unique

Unique11 ?
Unique (%)10.6%

Sample

1st row055-374-6466
2nd row055-392-2119
3rd row055-392-2119
4th row055-392-2119
5th row055-392-2119

Common Values

ValueCountFrequency (%)
055-382-7182 44
42.3%
<NA> 22
21.2%
055-392-2119 17
 
16.3%
055-383-3721 4
 
3.8%
055-386-0715 4
 
3.8%
055-374-6466 2
 
1.9%
055-382-7188 1
 
1.0%
055-382-7183 1
 
1.0%
055-382-7184 1
 
1.0%
055-382-7185 1
 
1.0%
Other values (7) 7
 
6.7%

Length

2023-12-12T18:21:24.090981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
055-382-7182 44
42.3%
na 22
21.2%
055-392-2119 17
 
16.3%
055-383-3721 4
 
3.8%
055-386-0715 4
 
3.8%
055-374-6466 2
 
1.9%
055-384-5111 1
 
1.0%
055-382-7189 1
 
1.0%
055-383-6479 1
 
1.0%
055-388-6599 1
 
1.0%
Other values (7) 7
 
6.7%

지정일
Categorical

HIGH CORRELATION 

Distinct50
Distinct (%)48.1%
Missing0
Missing (%)0.0%
Memory size964.0 B
1979-05-02
11 
1979-06-22
 
5
1990-12-30
 
5
1981-12-21
 
5
1985-11-14
 
5
Other values (45)
73 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique27 ?
Unique (%)26.0%

Sample

1st row1985-11-14
2nd row1988-12-23
3rd row1990-12-20
4th row1992-10-21
5th row1997-12-31

Common Values

ValueCountFrequency (%)
1979-05-02 11
 
10.6%
1979-06-22 5
 
4.8%
1990-12-30 5
 
4.8%
1981-12-21 5
 
4.8%
1985-11-14 5
 
4.8%
2014-03-20 4
 
3.8%
2003-09-18 4
 
3.8%
2002-06-07 3
 
2.9%
2005-10-13 3
 
2.9%
2006-11-02 3
 
2.9%
Other values (40) 56
53.8%

Length

2023-12-12T18:21:24.213098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1979-05-02 11
 
10.6%
1990-12-30 5
 
4.8%
1981-12-21 5
 
4.8%
1985-11-14 5
 
4.8%
1979-06-22 5
 
4.8%
2014-03-20 4
 
3.8%
2003-09-18 4
 
3.8%
2013-05-02 3
 
2.9%
2018-12-20 3
 
2.9%
2005-01-17 3
 
2.9%
Other values (40) 56
53.8%

생년월일(무형문화재)
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing100
Missing (%)96.2%
Memory size964.0 B
Minimum1931-12-22 00:00:00
Maximum1964-09-13 00:00:00
2023-12-12T18:21:24.315427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:21:24.413003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

관리단체
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)20.2%
Missing0
Missing (%)0.0%
Memory size964.0 B
통도사
50 
양산시
17 
<NA>
 
4
광천사
 
4
대성암
 
4
Other values (16)
25 

Length

Max length10
Median length3
Mean length3.1730769
Min length3

Unique

Unique9 ?
Unique (%)8.7%

Sample

1st row내원사
2nd row양산시
3rd row양산시
4th row양산시
5th row양산시

Common Values

ValueCountFrequency (%)
통도사 50
48.1%
양산시 17
 
16.3%
<NA> 4
 
3.8%
광천사 4
 
3.8%
대성암 4
 
3.8%
법천사 4
 
3.8%
가사암 2
 
1.9%
원효암 2
 
1.9%
내원사 2
 
1.9%
신흥사 2
 
1.9%
Other values (11) 13
 
12.5%

Length

2023-12-12T18:21:24.546228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
통도사 51
48.1%
양산시 17
 
16.0%
na 4
 
3.8%
광천사 4
 
3.8%
대성암 4
 
3.8%
법천사 4
 
3.8%
신흥사 2
 
1.9%
불광사 2
 
1.9%
서운암 2
 
1.9%
내원사 2
 
1.9%
Other values (12) 14
 
13.2%

출처
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size964.0 B
기본현황
104 

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 104
100.0%

Length

2023-12-12T18:21:24.675677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:21:24.781331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기본현황 104
100.0%

데이터기준일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size964.0 B
2020-06-30
94 
2021-08-03
 
7
2021-08-04
 
1
2021-08-05
 
1
2021-08-06
 
1

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique3 ?
Unique (%)2.9%

Sample

1st row2021-08-03
2nd row2020-06-30
3rd row2020-06-30
4th row2020-06-30
5th row2020-06-30

Common Values

ValueCountFrequency (%)
2020-06-30 94
90.4%
2021-08-03 7
 
6.7%
2021-08-04 1
 
1.0%
2021-08-05 1
 
1.0%
2021-08-06 1
 
1.0%

Length

2023-12-12T18:21:24.911860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:21:25.071111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-06-30 94
90.4%
2021-08-03 7
 
6.7%
2021-08-04 1
 
1.0%
2021-08-05 1
 
1.0%
2021-08-06 1
 
1.0%

Interactions

2023-12-12T18:21:17.871926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:21:17.674428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:21:17.977752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:21:17.775347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:21:25.240515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유형지정번호보유(무형문화재)면적(m2)수량성별(무형문화재)소유자소재지위도경도연락처지정일생년월일(무형문화재)관리단체데이터기준일자
유형1.0000.679NaNNaN0.000NaN0.9581.0000.6840.1840.4830.991NaN0.8920.000
지정번호0.6791.0001.0001.0001.0000.0000.0000.0000.8851.0000.9990.0001.0000.9970.960
보유(무형문화재)NaN1.0001.000NaNNaN1.0001.0001.000NaNNaNNaN1.0001.000NaN1.000
면적(m2)NaN1.000NaN1.000NaNNaN1.0001.0001.0001.0001.0001.000NaN1.0001.000
수량0.0001.000NaNNaN1.000NaN0.7770.8350.687NaN0.7970.760NaN0.0000.000
성별(무형문화재)NaN0.0001.000NaNNaN1.0001.0001.000NaNNaNNaN1.0001.000NaN0.000
소유자0.9580.0001.0001.0000.7771.0001.0000.9910.9240.0000.9690.9871.0000.9970.595
소재지1.0000.0001.0001.0000.8351.0000.9911.0001.0001.0000.9180.9891.0000.9850.234
위도0.6840.885NaN1.0000.687NaN0.9241.0001.0000.0000.8790.980NaN0.9140.236
경도0.1841.000NaN1.000NaNNaN0.0001.0000.0001.0000.0001.000NaN0.0000.000
연락처0.4830.999NaN1.0000.797NaN0.9690.9180.8790.0001.0000.519NaN0.9860.586
지정일0.9910.0001.0001.0000.7601.0000.9870.9890.9801.0000.5191.0001.0000.9830.531
생년월일(무형문화재)NaN1.0001.000NaNNaN1.0001.0001.000NaNNaNNaN1.0001.000NaN1.000
관리단체0.8920.997NaN1.0000.000NaN0.9970.9850.9140.0000.9860.983NaN1.0000.700
데이터기준일자0.0000.9601.0001.0000.0000.0000.5950.2340.2360.0000.5860.5311.0000.7001.000
2023-12-12T18:21:25.468768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수량지정일데이터기준일자관리단체소유자유형연락처소재지
수량1.0000.1990.0000.0000.2470.0000.2930.285
지정일0.1991.0000.1800.6390.6340.6920.1150.655
데이터기준일자0.0000.1801.0000.3470.2930.0000.3180.066
관리단체0.0000.6390.3471.0000.9540.6900.8900.722
소유자0.2470.6340.2930.9541.0000.7490.7920.730
유형0.0000.6920.0000.6900.7491.0000.3430.806
연락처0.2930.1150.3180.8900.7920.3431.0000.526
소재지0.2850.6550.0660.7220.7300.8060.5261.000
2023-12-12T18:21:25.624177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도유형수량소유자소재지연락처지정일관리단체데이터기준일자
위도1.0000.4040.3620.3070.6770.8410.6260.6610.6710.159
경도0.4041.0000.3101.0000.0000.8230.0000.7430.0000.000
유형0.3620.3101.0000.0000.7490.8060.3430.6920.6900.000
수량0.3071.0000.0001.0000.2470.2850.2930.1990.0000.000
소유자0.6770.0000.7490.2471.0000.7300.7920.6340.9540.293
소재지0.8410.8230.8060.2850.7301.0000.5260.6550.7220.066
연락처0.6260.0000.3430.2930.7920.5261.0000.1150.8900.318
지정일0.6610.7430.6920.1990.6340.6550.1151.0000.6390.180
관리단체0.6710.0000.6900.0000.9540.7220.8900.6391.0000.347
데이터기준일자0.1590.0000.0000.0000.2930.0660.3180.1800.3471.000

Missing values

2023-12-12T18:21:18.144717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:21:18.393183image/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.
2023-12-12T18:21:18.566524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

유형지정번호문화재명보유(무형문화재)면적(m2)수량성별(무형문화재)소유자소재지위도경도연락처지정일생년월일(무형문화재)관리단체출처데이터기준일자
0기념물81천성산, 내원사 일원<NA>17,439,13591필<NA>내원사경상남도 양산시 하북면 용연리 산63-1 외 90필35.437216129.11672055-374-64661985-11-14<NA>내원사기본현황2021-08-03
1기념물90박제상 유적효충사<NA><NA>1동<NA>양산시경상남도 양산시 상북면 박제상길 11-135.382857129.043159055-392-21191988-12-23<NA>양산시기본현황2020-06-30
2기념물103양산 신기동지석묘<NA><NA>1기<NA>양산시경상남도 양산시 신기동 446-135.353789129.043995055-392-21191990-12-20<NA>양산시기본현황2020-06-30
3기념물118양산 원적산봉수대<NA>1600<NA><NA>양산시경상남도 양산시 상북면 석계리 산2035.742305129.075284055-392-21191992-10-21<NA>양산시기본현황2020-06-30
4기념물195양산 화제리도요지<NA>3223<NA><NA>양산시경상남도 양산시 원동면 화제리 1295 외 14<NA><NA>055-392-21191997-12-31<NA>양산시기본현황2020-06-30
5기념물196양산 가산리도요지<NA>4950<NA><NA>양산시경상남도 양산시 동면 가산리 산64-1 외 1335.285622129.022924055-392-21191997-12-31<NA>양산시기본현황2020-06-30
6기념물259우불산성<NA>43315<NA><NA>양산시경상남도 양산시 삼호동 산 2-3 외35.422325129.172462055-392-21192005-10-13<NA>양산시기본현황2020-06-30
7기념물260삼호리고분군<NA>83559<NA><NA>양산시경상남도 양산시 주남동 산 91 외35.420378129.168813055-392-21192005-10-13<NA>양산시기본현황2020-06-30
8기념물289양산 통도사<NA>53518<NA><NA>통도사경상남도 양산시 하북면 지산리 254외35.4880761293.067655055-382-71822018-01-04<NA>통도사기본현황2020-06-30
9민속자료7가야진사<NA><NA>1동<NA>보존회경상남도 양산시 원동면 용당들길 43-6235.367759128.90235<NA>1983-12-20<NA>가야진용신제 보존회기본현황2020-06-30
유형지정번호문화재명보유(무형문화재)면적(m2)수량성별(무형문화재)소유자소재지위도경도연락처지정일생년월일(무형문화재)관리단체출처데이터기준일자
94유형문화재605양산 원각사 육조대사법보단경<NA><NA>1책<NA>원각사경상남도 양산시 상북면 석계리위천 1길 4835.408724129.066375055-374-63132017-01-05<NA>원각사기본현황2020-06-30
95유형문화재624양산 신흥사 보현보살상 복장유물<NA><NA>9건<NA>양산시립박물관경상남도 양산시 북정동 678 시립박물관35.358388129.048971<NA>2018-04-26<NA>신흥사기본현황2020-06-30
96유형문화재638양산 황산언석조수문준공기 각석<NA><NA>1기<NA>양산시경상남도 양산시 물금읍 가촌리 1321번지<NA><NA>055-392-21192018-10-25<NA>양산시기본현황2020-06-30
97유형문화재640양산 통도사 서운암동궁어필<NA><NA>1책<NA>통도사경상남도 양산시 하북면 통도사로 10835.48794129.06433<NA>2018-12-20<NA>서운암기본현황2020-06-30
98유형문화재641양산 법천사 목조보살좌상 및 복장물<NA><NA>불상1구, 복장물8종<NA>법천사경상남도 양산시 동면 금산2길 21035.302999129.043838055-386-07152018-12-20<NA>법천사기본현황2021-08-03
99유형문화재653양산 통도사 서운암훈유어필<NA><NA>1책<NA>통도사경상남도 양산시 하북면 통도사로 10835.48794129.06433<NA>2018-12-20<NA>서운암기본현황2020-06-30
100무형문화재19가야진 용신제 (1997.1.30)제향<NA><NA>남김진규경상남도 양산시 원동 신주주진길 37-12<NA><NA><NA>2004-10-211931-12-22<NA>기본현황2020-06-30
101무형문화재19가야진 용신제 (1997.1.30)농악 상쇠<NA><NA>남박홍기경상남도 양산시 원동 내포양달길 1023<NA><NA><NA>2011-08-041964-09-13<NA>기본현황2020-06-30
102무형문화재23웅상농청 장원놀이 (2002.4.4)모심기노래<NA><NA>여김필연경상남도 양산시 세정길 10<NA><NA><NA>2002-04-041934-04-01<NA>기본현황2021-08-03
103무형문화재23웅상농청 장원놀이 (2002.4.4)상쇠<NA><NA>남박순범경상남도 양산시 서창동 웅상대로 1133<NA><NA><NA>2017-04-061959-11-23<NA>기본현황2020-06-30