Overview

Dataset statistics

Number of variables11
Number of observations93
Missing cells13
Missing cells (%)1.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.4 KiB
Average record size in memory92.4 B

Variable types

Numeric3
Text5
DateTime1
Categorical2

Dataset

Description경상남도 거창군 문화재 현황에 대한 데이터로 종목, 명칭, 명칭(한자), 소재지도로명주소, 지번주소, 지정일, 분류, 위도, 경도를 제공합니다.
Author경상남도 거창군
URLhttps://www.data.go.kr/data/3065569/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
소재지도로명주소 has 13 (14.0%) missing valuesMissing
연번 has unique valuesUnique
종목 has unique valuesUnique
명칭 has unique valuesUnique
명칭(한자) has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:45:47.258462
Analysis finished2023-12-12 07:45:49.563320
Duration2.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct93
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47
Minimum1
Maximum93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2023-12-12T16:45:49.647080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.6
Q124
median47
Q370
95-th percentile88.4
Maximum93
Range92
Interquartile range (IQR)46

Descriptive statistics

Standard deviation26.990739
Coefficient of variation (CV)0.57427105
Kurtosis-1.2
Mean47
Median Absolute Deviation (MAD)23
Skewness0
Sum4371
Variance728.5
MonotonicityStrictly increasing
2023-12-12T16:45:49.804549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
60 1
 
1.1%
69 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
Other values (83) 83
89.2%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
93 1
1.1%
92 1
1.1%
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%

종목
Text

UNIQUE 

Distinct93
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-12T16:45:50.136415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.827957
Min length7

Characters and Unicode

Total characters1007
Distinct characters38
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)100.0%

Sample

1st row보물 제377호
2nd row보물 제378호
3rd row보물 제530호
4th row보물 제1436호
5th row보물 제1690호
ValueCountFrequency (%)
문화재자료 38
20.4%
도유형문화재 24
 
12.9%
보물 6
 
3.2%
도기념물 6
 
3.2%
도무형문화재 5
 
2.7%
도민속문화재 4
 
2.2%
등록문화재 3
 
1.6%
명승 2
 
1.1%
제77호 2
 
1.1%
국가민속문화재 2
 
1.1%
Other values (91) 94
50.5%
2023-12-12T16:45:50.556894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
93
 
9.2%
제 93
 
9.2%
호 93
 
9.2%
문 76
 
7.5%
화 76
 
7.5%
재 76
 
7.5%
3 44
 
4.4%
2 42
 
4.2%
도 39
 
3.9%
료 38
 
3.8%
Other values (28) 337
33.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 652
64.7%
Decimal Number 262
26.0%
Space Separator 93
 
9.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 93
14.3%
호 93
14.3%
문 76
11.7%
화 76
11.7%
재 76
11.7%
도 39
6.0%
료 38
5.8%
자 38
5.8%
형 29
 
4.4%
유 24
 
3.7%
Other values (17) 70
10.7%
Decimal Number
ValueCountFrequency (%)
3 44
16.8%
2 42
16.0%
1 31
11.8%
5 29
11.1%
6 25
9.5%
7 25
9.5%
4 21
8.0%
0 18
6.9%
8 15
 
5.7%
9 12
 
4.6%
Space Separator
ValueCountFrequency (%)
93
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 652
64.7%
Common 355
35.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 93
14.3%
호 93
14.3%
문 76
11.7%
화 76
11.7%
재 76
11.7%
도 39
6.0%
료 38
5.8%
자 38
5.8%
형 29
 
4.4%
유 24
 
3.7%
Other values (17) 70
10.7%
Common
ValueCountFrequency (%)
93
26.2%
3 44
12.4%
2 42
11.8%
1 31
 
8.7%
5 29
 
8.2%
6 25
 
7.0%
7 25
 
7.0%
4 21
 
5.9%
0 18
 
5.1%
8 15
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 652
64.7%
ASCII 355
35.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
93
26.2%
3 44
12.4%
2 42
11.8%
1 31
 
8.7%
5 29
 
8.2%
6 25
 
7.0%
7 25
 
7.0%
4 21
 
5.9%
0 18
 
5.1%
8 15
 
4.2%
Hangul
ValueCountFrequency (%)
제 93
14.3%
호 93
14.3%
문 76
11.7%
화 76
11.7%
재 76
11.7%
도 39
6.0%
료 38
5.8%
자 38
5.8%
형 29
 
4.4%
유 24
 
3.7%
Other values (17) 70
10.7%

명칭
Text

UNIQUE 

Distinct93
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-12T16:45:50.862793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length8.9354839
Min length2

Characters and Unicode

Total characters831
Distinct characters173
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)100.0%

Sample

1st row거창 양평리 석조여래입상
2nd row거창 상림리 석조보살입상
3rd row거창 가섭암지 마애여래삼존입상
4th row거창 농산리 석조여래입상
5th row거창 심우사 목조아미타여래좌상
ValueCountFrequency (%)
거창 57
26.8%
목판 8
 
3.8%
석조여래입상 4
 
1.9%
사병리 3
 
1.4%
및 3
 
1.4%
용암정 2
 
0.9%
고가 2
 
0.9%
고문서 2
 
0.9%
윤경남 2
 
0.9%
정온 2
 
0.9%
Other values (125) 128
60.1%
2023-12-12T16:45:51.232153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
 
14.4%
거 82
 
9.9%
창 81
 
9.7%
리 24
 
2.9%
정 19
 
2.3%
고 18
 
2.2%
사 17
 
2.0%
가 13
 
1.6%
상 11
 
1.3%
당 11
 
1.3%
Other values (163) 435
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 710
85.4%
Space Separator 120
 
14.4%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 82
 
11.5%
창 81
 
11.4%
리 24
 
3.4%
정 19
 
2.7%
고 18
 
2.5%
사 17
 
2.4%
가 13
 
1.8%
상 11
 
1.5%
당 11
 
1.5%
씨 10
 
1.4%
Other values (161) 424
59.7%
Space Separator
ValueCountFrequency (%)
120
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 710
85.4%
Common 121
 
14.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 82
 
11.5%
창 81
 
11.4%
리 24
 
3.4%
정 19
 
2.7%
고 18
 
2.5%
사 17
 
2.4%
가 13
 
1.8%
상 11
 
1.5%
당 11
 
1.5%
씨 10
 
1.4%
Other values (161) 424
59.7%
Common
ValueCountFrequency (%)
120
99.2%
2 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 710
85.4%
ASCII 121
 
14.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
99.2%
2 1
 
0.8%
Hangul
ValueCountFrequency (%)
거 82
 
11.5%
창 81
 
11.4%
리 24
 
3.4%
정 19
 
2.7%
고 18
 
2.5%
사 17
 
2.4%
가 13
 
1.8%
상 11
 
1.5%
당 11
 
1.5%
씨 10
 
1.4%
Other values (161) 424
59.7%

명칭(한자)
Text

UNIQUE 

Distinct93
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-12T16:45:51.425172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length8.9462366
Min length2

Characters and Unicode

Total characters832
Distinct characters271
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)100.0%

Sample

1st row居昌 陽平里 石造如來立像
2nd row居昌 上林里 石造菩薩立像
3rd row居昌 迦葉庵址 磨崖如來三尊立像
4th row居昌 農山里 石造如來立像
5th row居昌 尋牛寺 木造阿彌陀如來坐像
ValueCountFrequency (%)
居昌 57
27.0%
木板 8
 
3.8%
石造如來立像 4
 
1.9%
士屛里 3
 
1.4%
및 3
 
1.4%
龍巖亭 2
 
0.9%
卞氏古家 2
 
0.9%
古文書 2
 
0.9%
尹景男 2
 
0.9%
鄭蘊 2
 
0.9%
Other values (123) 126
59.7%
2023-12-12T16:45:51.708931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
118
 
14.2%
居 81
 
9.7%
昌 80
 
9.6%
里 21
 
2.5%
古 18
 
2.2%
亭 14
 
1.7%
家 13
 
1.6%
氏 10
 
1.2%
石 10
 
1.2%
堂 9
 
1.1%
Other values (261) 458
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 713
85.7%
Space Separator 118
 
14.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
居 81
 
11.4%
昌 80
 
11.2%
里 21
 
2.9%
古 18
 
2.5%
亭 14
 
2.0%
家 13
 
1.8%
氏 10
 
1.4%
石 10
 
1.4%
堂 9
 
1.3%
文 9
 
1.3%
Other values (259) 448
62.8%
Space Separator
ValueCountFrequency (%)
118
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Han 672
80.8%
Common 119
 
14.3%
Hangul 41
 
4.9%

Most frequent character per script

Han
ValueCountFrequency (%)
居 81
 
12.1%
昌 80
 
11.9%
里 21
 
3.1%
古 18
 
2.7%
亭 14
 
2.1%
家 13
 
1.9%
氏 10
 
1.5%
石 10
 
1.5%
堂 9
 
1.3%
文 9
 
1.3%
Other values (231) 407
60.6%
Hangul
ValueCountFrequency (%)
나 3
 
7.3%
무 3
 
7.3%
소 3
 
7.3%
리 3
 
7.3%
및 3
 
7.3%
일 2
 
4.9%
베 2
 
4.9%
삼 2
 
4.9%
은 1
 
2.4%
행 1
 
2.4%
Other values (18) 18
43.9%
Common
ValueCountFrequency (%)
118
99.2%
2 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
CJK 649
78.0%
ASCII 119
 
14.3%
Hangul 41
 
4.9%
CJK Compat Ideographs 23
 
2.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
118
99.2%
2 1
 
0.8%
CJK
ValueCountFrequency (%)
居 81
 
12.5%
昌 80
 
12.3%
里 21
 
3.2%
古 18
 
2.8%
亭 14
 
2.2%
家 13
 
2.0%
氏 10
 
1.5%
石 10
 
1.5%
堂 9
 
1.4%
文 9
 
1.4%
Other values (223) 384
59.2%
CJK Compat Ideographs
ValueCountFrequency (%)
立 8
34.8%
林 4
17.4%
李 4
17.4%
宅 2
 
8.7%
龍 2
 
8.7%
靈 1
 
4.3%
葉 1
 
4.3%
樂 1
 
4.3%
Hangul
ValueCountFrequency (%)
나 3
 
7.3%
무 3
 
7.3%
소 3
 
7.3%
리 3
 
7.3%
및 3
 
7.3%
일 2
 
4.9%
베 2
 
4.9%
삼 2
 
4.9%
은 1
 
2.4%
행 1
 
2.4%
Other values (18) 18
43.9%

소재지도로명주소
Text

MISSING 

Distinct58
Distinct (%)72.5%
Missing13
Missing (%)14.0%
Memory size876.0 B
2023-12-12T16:45:51.950791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length23.025
Min length18

Characters and Unicode

Total characters1842
Distinct characters103
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

Unique49 ?
Unique (%)61.3%

Sample

1st row경상남도 거창군 거창읍 노혜3길 6-33 금융사
2nd row경상남도 거창군 거창읍 미륵길 19-61
3rd row경상남도 거창군 거창읍 하동4길 77 심우사
4th row경상남도 거창군 가조면 의상봉길 1049 고견사
5th row경상남도 거창군 위천면 황산1길 199
ValueCountFrequency (%)
경상남도 80
19.1%
거창군 79
18.9%
거창읍 29
 
6.9%
수남로 18
 
4.3%
2181 12
 
2.9%
거창박물관 12
 
2.9%
가조면 11
 
2.6%
북상면 9
 
2.1%
위천면 8
 
1.9%
남하면 7
 
1.7%
Other values (106) 154
36.8%
2023-12-12T16:45:52.295233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
339
18.4%
거 125
 
6.8%
창 125
 
6.8%
남 110
 
6.0%
상 100
 
5.4%
1 87
 
4.7%
도 81
 
4.4%
경 80
 
4.3%
군 80
 
4.3%
면 51
 
2.8%
Other values (93) 664
36.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1144
62.1%
Space Separator 339
 
18.4%
Decimal Number 323
 
17.5%
Dash Punctuation 36
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 125
10.9%
창 125
10.9%
남 110
 
9.6%
상 100
 
8.7%
도 81
 
7.1%
경 80
 
7.0%
군 80
 
7.0%
면 51
 
4.5%
길 49
 
4.3%
로 31
 
2.7%
Other values (81) 312
27.3%
Decimal Number
ValueCountFrequency (%)
1 87
26.9%
2 45
13.9%
3 42
13.0%
9 29
 
9.0%
0 23
 
7.1%
7 23
 
7.1%
4 22
 
6.8%
8 22
 
6.8%
6 19
 
5.9%
5 11
 
3.4%
Space Separator
ValueCountFrequency (%)
339
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1144
62.1%
Common 698
37.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 125
10.9%
창 125
10.9%
남 110
 
9.6%
상 100
 
8.7%
도 81
 
7.1%
경 80
 
7.0%
군 80
 
7.0%
면 51
 
4.5%
길 49
 
4.3%
로 31
 
2.7%
Other values (81) 312
27.3%
Common
ValueCountFrequency (%)
339
48.6%
1 87
 
12.5%
2 45
 
6.4%
3 42
 
6.0%
- 36
 
5.2%
9 29
 
4.2%
0 23
 
3.3%
7 23
 
3.3%
4 22
 
3.2%
8 22
 
3.2%
Other values (2) 30
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1144
62.1%
ASCII 698
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
339
48.6%
1 87
 
12.5%
2 45
 
6.4%
3 42
 
6.0%
- 36
 
5.2%
9 29
 
4.2%
0 23
 
3.3%
7 23
 
3.3%
4 22
 
3.2%
8 22
 
3.2%
Other values (2) 30
 
4.3%
Hangul
ValueCountFrequency (%)
거 125
10.9%
창 125
10.9%
남 110
 
9.6%
상 100
 
8.7%
도 81
 
7.1%
경 80
 
7.0%
군 80
 
7.0%
면 51
 
4.5%
길 49
 
4.3%
로 31
 
2.7%
Other values (81) 312
27.3%

지번주소
Text

Distinct77
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-12T16:45:52.547438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length20.967742
Min length18

Characters and Unicode

Total characters1950
Distinct characters80
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

Unique73 ?
Unique (%)78.5%

Sample

1st row경상남도 거창군 거창읍 양평리 479-14
2nd row경상남도 거창군 거창읍 상림리 696
3rd row경상남도 거창군 위천면 상천리 산6-2
4th row경상남도 거창군 북상면 농산리 산53
5th row경상남도 거창군 거창읍 대동리 703
ValueCountFrequency (%)
경상남도 93
20.0%
거창군 93
20.0%
거창읍 30
 
6.4%
김천리 12
 
2.6%
216-5 12
 
2.6%
북상면 11
 
2.4%
위천면 11
 
2.4%
가조면 11
 
2.4%
남하면 10
 
2.1%
황산리 6
 
1.3%
Other values (117) 177
38.0%
2023-12-12T16:45:52.901279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
373
19.1%
거 124
 
6.4%
창 123
 
6.3%
상 119
 
6.1%
남 108
 
5.5%
도 94
 
4.8%
경 93
 
4.8%
리 93
 
4.8%
군 93
 
4.8%
1 68
 
3.5%
Other values (70) 662
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1221
62.6%
Space Separator 373
 
19.1%
Decimal Number 315
 
16.2%
Dash Punctuation 41
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 124
10.2%
창 123
10.1%
상 119
9.7%
남 108
 
8.8%
도 94
 
7.7%
경 93
 
7.6%
리 93
 
7.6%
군 93
 
7.6%
면 63
 
5.2%
읍 30
 
2.5%
Other values (58) 281
23.0%
Decimal Number
ValueCountFrequency (%)
1 68
21.6%
6 42
13.3%
2 39
12.4%
5 33
10.5%
3 31
9.8%
7 28
8.9%
4 22
 
7.0%
8 19
 
6.0%
0 18
 
5.7%
9 15
 
4.8%
Space Separator
ValueCountFrequency (%)
373
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1221
62.6%
Common 729
37.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 124
10.2%
창 123
10.1%
상 119
9.7%
남 108
 
8.8%
도 94
 
7.7%
경 93
 
7.6%
리 93
 
7.6%
군 93
 
7.6%
면 63
 
5.2%
읍 30
 
2.5%
Other values (58) 281
23.0%
Common
ValueCountFrequency (%)
373
51.2%
1 68
 
9.3%
6 42
 
5.8%
- 41
 
5.6%
2 39
 
5.3%
5 33
 
4.5%
3 31
 
4.3%
7 28
 
3.8%
4 22
 
3.0%
8 19
 
2.6%
Other values (2) 33
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1221
62.6%
ASCII 729
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
373
51.2%
1 68
 
9.3%
6 42
 
5.8%
- 41
 
5.6%
2 39
 
5.3%
5 33
 
4.5%
3 31
 
4.3%
7 28
 
3.8%
4 22
 
3.0%
8 19
 
2.6%
Other values (2) 33
 
4.5%
Hangul
ValueCountFrequency (%)
거 124
10.2%
창 123
10.1%
상 119
9.7%
남 108
 
8.8%
도 94
 
7.7%
경 93
 
7.6%
리 93
 
7.6%
군 93
 
7.6%
면 63
 
5.2%
읍 30
 
2.5%
Other values (58) 281
23.0%

지정일
Date

Distinct59
Distinct (%)63.4%
Missing0
Missing (%)0.0%
Memory size876.0 B
Minimum1963-01-21 00:00:00
Maximum2021-12-02 00:00:00
2023-12-12T16:45:53.010622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:45:53.119142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

분류
Categorical

Distinct40
Distinct (%)43.0%
Missing0
Missing (%)0.0%
Memory size876.0 B
유적건조물/주거생활/주거건축/가옥
14 
유적건조물/주거생활/조경건축/누정
10 
유물/불교조각/석조/불상
7 
유적건조물/인물사건/인물기념/사우
6 
기록유산/서각류/목판각류/판목류
 
5
Other values (35)
51 

Length

Max length22
Median length21
Mean length16.215054
Min length5

Unique

Unique26 ?
Unique (%)28.0%

Sample

1st row유물/불교조각/석조/불상
2nd row유물/불교조각/석조/보살상
3rd row유물/불교조각/석조/불상
4th row유물/불교조각/석조/불상
5th row유물/불교조각/목조/불상

Common Values

ValueCountFrequency (%)
유적건조물/주거생활/주거건축/가옥 14
15.1%
유적건조물/주거생활/조경건축/누정 10
 
10.8%
유물/불교조각/석조/불상 7
 
7.5%
유적건조물/인물사건/인물기념/사우 6
 
6.5%
기록유산/서각류/목판각류/판목류 5
 
5.4%
유적건조물/// 4
 
4.3%
무형문화재/전통 공연·예술/음악/ 4
 
4.3%
유적건조물/정치국방/성/성곽 3
 
3.2%
자연유산/천연기념물/생물과학기념물/생물상 3
 
3.2%
유적건조물/무덤/무덤/봉토묘 3
 
3.2%
Other values (30) 34
36.6%

Length

2023-12-12T16:45:53.239576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
유적건조물/주거생활/주거건축/가옥 14
 
14.1%
유적건조물/주거생활/조경건축/누정 10
 
10.1%
유물/불교조각/석조/불상 7
 
7.1%
유적건조물/인물사건/인물기념/사우 6
 
6.1%
기록유산/서각류/목판각류/판목류 5
 
5.1%
유적건조물 4
 
4.0%
무형문화재/전통 4
 
4.0%
공연·예술/음악 4
 
4.0%
유적건조물/정치국방/성/성곽 3
 
3.0%
자연유산/천연기념물/생물과학기념물/생물상 3
 
3.0%
Other values (33) 39
39.4%

위도
Real number (ℝ)

Distinct70
Distinct (%)75.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.70977
Minimum35.570253
Maximum35.878491
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2023-12-12T16:45:53.342638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.570253
5-th percentile35.59336
Q135.6743
median35.697053
Q335.76194
95-th percentile35.795546
Maximum35.878491
Range0.30823861
Interquartile range (IQR)0.08763923

Descriptive statistics

Standard deviation0.059472476
Coefficient of variation (CV)0.0016654399
Kurtosis0.035982551
Mean35.70977
Median Absolute Deviation (MAD)0.03733917
Skewness-0.11201551
Sum3321.0086
Variance0.0035369754
MonotonicityNot monotonic
2023-12-12T16:45:53.461201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.67430045 12
 
12.9%
35.67353077 4
 
4.3%
35.7802154 3
 
3.2%
35.75542273 2
 
2.2%
35.68964504 2
 
2.2%
35.74556097 2
 
2.2%
35.57304326 2
 
2.2%
35.76760132 2
 
2.2%
35.66537594 2
 
2.2%
35.76225185 2
 
2.2%
Other values (60) 60
64.5%
ValueCountFrequency (%)
35.57025282 1
1.1%
35.57304326 2
2.2%
35.58533769 1
1.1%
35.58702215 1
1.1%
35.59758577 1
1.1%
35.63573459 1
1.1%
35.64092847 1
1.1%
35.64100055 1
1.1%
35.64509068 1
1.1%
35.6497446 1
1.1%
ValueCountFrequency (%)
35.87849143 1
 
1.1%
35.81363466 1
 
1.1%
35.80560323 1
 
1.1%
35.79949095 1
 
1.1%
35.79921756 1
 
1.1%
35.79309828 1
 
1.1%
35.78529052 1
 
1.1%
35.78092487 1
 
1.1%
35.7802154 3
3.2%
35.78012446 1
 
1.1%

경도
Real number (ℝ)

Distinct70
Distinct (%)75.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.90883
Minimum127.79411
Maximum128.06857
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2023-12-12T16:45:53.579883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.79411
5-th percentile127.81556
Q1127.87898
median127.91031
Q3127.94565
95-th percentile128.0033
Maximum128.06857
Range0.2744625
Interquartile range (IQR)0.0666714

Descriptive statistics

Standard deviation0.059969341
Coefficient of variation (CV)0.0004688444
Kurtosis-0.17787435
Mean127.90883
Median Absolute Deviation (MAD)0.0353392
Skewness0.062777541
Sum11895.522
Variance0.0035963218
MonotonicityNot monotonic
2023-12-12T16:45:53.701901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.9103127 12
 
12.9%
127.9094196 4
 
4.3%
127.8188338 3
 
3.2%
127.8287478 2
 
2.2%
127.9148654 2
 
2.2%
128.0392654 2
 
2.2%
127.9475859 2
 
2.2%
127.8213307 2
 
2.2%
127.9456519 2
 
2.2%
127.8309585 2
 
2.2%
Other values (60) 60
64.5%
ValueCountFrequency (%)
127.7941107 1
 
1.1%
127.7974319 1
 
1.1%
127.8110186 1
 
1.1%
127.8147672 1
 
1.1%
127.8149196 1
 
1.1%
127.8159809 1
 
1.1%
127.8165472 1
 
1.1%
127.8186672 1
 
1.1%
127.8188338 3
3.2%
127.8213307 2
2.2%
ValueCountFrequency (%)
128.0685732 1
1.1%
128.0392654 2
2.2%
128.0148538 1
1.1%
128.0090334 1
1.1%
127.9994799 1
1.1%
127.9985347 1
1.1%
127.9980785 1
1.1%
127.9979474 1
1.1%
127.9944763 1
1.1%
127.9935815 1
1.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-09-30
93 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-30
2nd row2023-09-30
3rd row2023-09-30
4th row2023-09-30
5th row2023-09-30

Common Values

ValueCountFrequency (%)
2023-09-30 93
100.0%

Length

2023-12-12T16:45:53.828584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:45:53.912590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-30 93
100.0%

Interactions

2023-12-12T16:45:48.618093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:45:48.070320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:45:48.323203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:45:48.708080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:45:48.141489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:45:48.401320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:45:49.116827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:45:48.235327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:45:48.496474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:45:53.976088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종목명칭명칭(한자)소재지도로명주소지번주소지정일분류위도경도
연번1.0001.0001.0001.0000.8500.8610.9350.8810.2110.000
종목1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
명칭1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
명칭(한자)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소0.8501.0001.0001.0001.0001.0000.5540.8301.0001.000
지번주소0.8611.0001.0001.0001.0001.0000.1760.0001.0001.000
지정일0.9351.0001.0001.0000.5540.1761.0000.8730.0000.878
분류0.8811.0001.0001.0000.8300.0000.8731.0000.0000.000
위도0.2111.0001.0001.0001.0001.0000.0000.0001.0000.710
경도0.0001.0001.0001.0001.0001.0000.8780.0000.7101.000
2023-12-12T16:45:54.093706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도분류
연번1.000-0.2110.3480.403
위도-0.2111.000-0.4430.000
경도0.348-0.4431.0000.000
분류0.4030.0000.0001.000

Missing values

2023-12-12T16:45:49.276849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:45:49.489515image/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

연번종목명칭명칭(한자)소재지도로명주소지번주소지정일분류위도경도데이터기준일자
01보물 제377호거창 양평리 석조여래입상居昌 陽平里 石造如來立像경상남도 거창군 거창읍 노혜3길 6-33 금융사경상남도 거창군 거창읍 양평리 479-141963-01-21유물/불교조각/석조/불상35.700169127.932062023-09-30
12보물 제378호거창 상림리 석조보살입상居昌 上林里 石造菩薩立像경상남도 거창군 거창읍 미륵길 19-61경상남도 거창군 거창읍 상림리 6961963-01-21유물/불교조각/석조/보살상35.687414127.8951022023-09-30
23보물 제530호거창 가섭암지 마애여래삼존입상居昌 迦葉庵址 磨崖如來三尊立像<NA>경상남도 거창군 위천면 상천리 산6-21971-07-07유물/불교조각/석조/불상35.734514127.7941112023-09-30
34보물 제1436호거창 농산리 석조여래입상居昌 農山里 石造如來立像<NA>경상남도 거창군 북상면 농산리 산532005-07-07유물/불교조각/석조/불상35.7687127.8110192023-09-30
45보물 제1690호거창 심우사 목조아미타여래좌상居昌 尋牛寺 木造阿彌陀如來坐像경상남도 거창군 거창읍 하동4길 77 심우사경상남도 거창군 거창읍 대동리 7032010-12-21유물/불교조각/목조/불상35.689645127.9148652023-09-30
56보물 제1700호거창 고견사 동종居昌 古見寺 銅鍾경상남도 거창군 가조면 의상봉길 1049 고견사경상남도 거창군 가조면 수월리 산12010-12-21유물/불교공예/의식법구/의식법구35.745561128.0392652023-09-30
67사적 제239호거창 둔마리 벽화 고분居昌 屯馬里 壁畵 古墳<NA>경상남도 거창군 남하면 둔마리 산298-61974-09-05유적건조물/무덤/무덤/봉토묘35.720819127.9668842023-09-30
78사적 제559호거창 거열산성居昌 居列山城<NA>경상남도 거창군 거창읍 상림리 산45-12020-09-24유적건조물/정치국방/성/성곽35.700771127.8795752023-09-30
89명승 제53호거창 수승대居昌 搜勝臺경상남도 거창군 위천면 황산1길 199경상남도 거창군 위천면 황산리 8902008-12-26자연유산/명승/역사문화명승/35.766843127.8380192023-09-30
910명승 제88호거창 용암정 일원居昌 龍巖亭 一圓경상남도 거창군 북상면 용문들길 103-21경상남도 거창군 북상면 농산리 632012-04-10자연유산/명승/역사문화명승/35.767601127.8213312023-09-30
연번종목명칭명칭(한자)소재지도로명주소지번주소지정일분류위도경도데이터기준일자
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