Overview

Dataset statistics

Number of variables8
Number of observations108
Missing cells2
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.0 KiB
Average record size in memory66.2 B

Variable types

Numeric1
Categorical4
Text2
DateTime1

Dataset

Description경상남도 하동군에 있는 문화재 (연번, 분류별, 구분, 주소, 지정일, 문의기관, 전화번호 등)의 정보를 제공하고 있습니다
Author경상남도 하동군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15085335

Alerts

전화번호 is highly overall correlated with 문의기관High correlation
문의기관 is highly overall correlated with 전화번호High correlation
연번 is highly overall correlated with 분류별High correlation
분류별 is highly overall correlated with 연번High correlation
지정일 has 2 (1.9%) missing valuesMissing
연번 has unique valuesUnique
구분 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:10:08.480594
Analysis finished2023-12-10 23:10:09.568827
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.5
Minimum1
Maximum108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T08:10:09.666135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.35
Q127.75
median54.5
Q381.25
95-th percentile102.65
Maximum108
Range107
Interquartile range (IQR)53.5

Descriptive statistics

Standard deviation31.32092
Coefficient of variation (CV)0.57469577
Kurtosis-1.2
Mean54.5
Median Absolute Deviation (MAD)27
Skewness0
Sum5886
Variance981
MonotonicityStrictly increasing
2023-12-11T08:10:09.847868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
70 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
75 1
 
0.9%
74 1
 
0.9%
Other values (98) 98
90.7%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%
101 1
0.9%
100 1
0.9%
99 1
0.9%

분류별
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)28.7%
Missing0
Missing (%)0.0%
Memory size996.0 B
사찰본
20 
불화
16 
불상
10 
생물상
6 
불전
 
5
Other values (26)
51 

Length

Max length5
Median length2
Mean length2.4259259
Min length1

Unique

Unique13 ?
Unique (%)12.0%

Sample

1st row건물지
2nd row고생물
3rd row누각
4th row누각
5th row당우

Common Values

ValueCountFrequency (%)
사찰본 20
18.5%
불화 16
14.8%
불상 10
 
9.3%
생물상 6
 
5.6%
불전 5
 
4.6%
사우 5
 
4.6%
사찰 4
 
3.7%
탑 4
 
3.7%
초상화 4
 
3.7%
문 3
 
2.8%
Other values (21) 31
28.7%

Length

2023-12-11T08:10:09.990271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사찰본 20
18.5%
불화 16
14.8%
불상 10
 
9.3%
생물상 6
 
5.6%
불전 5
 
4.6%
사우 5
 
4.6%
사찰 4
 
3.7%
탑 4
 
3.7%
초상화 4
 
3.7%
문 3
 
2.8%
Other values (21) 31
28.7%

구분
Text

UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size996.0 B
2023-12-11T08:10:10.278809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length17
Mean length10.87963
Min length3

Characters and Unicode

Total characters1175
Distinct characters187
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

Unique108 ?
Unique (%)100.0%

Sample

1st row하동 칠불사 아자방지
2nd row하동 중평리 장구섬 화석산지
3rd row악양정
4th row청학루
5th row쌍계사 적묵당
ValueCountFrequency (%)
하동 84
27.5%
쌍계사 29
 
9.5%
법성선원 11
 
3.6%
청계사 6
 
2.0%
운흥사 3
 
1.0%
고성 3
 
1.0%
초상 3
 
1.0%
팔상전 3
 
1.0%
마애불 2
 
0.7%
대웅전 2
 
0.7%
Other values (143) 159
52.1%
2023-12-11T08:10:10.775498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
197
 
16.8%
동 92
 
7.8%
하 88
 
7.5%
사 64
 
5.4%
계 37
 
3.1%
쌍 31
 
2.6%
성 21
 
1.8%
상 21
 
1.8%
원 20
 
1.7%
불 19
 
1.6%
Other values (177) 585
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 976
83.1%
Space Separator 197
 
16.8%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 92
 
9.4%
하 88
 
9.0%
사 64
 
6.6%
계 37
 
3.8%
쌍 31
 
3.2%
성 21
 
2.2%
상 21
 
2.2%
원 20
 
2.0%
불 19
 
1.9%
리 18
 
1.8%
Other values (174) 565
57.9%
Space Separator
ValueCountFrequency (%)
197
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 976
83.1%
Common 199
 
16.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 92
 
9.4%
하 88
 
9.0%
사 64
 
6.6%
계 37
 
3.8%
쌍 31
 
3.2%
성 21
 
2.2%
상 21
 
2.2%
원 20
 
2.0%
불 19
 
1.9%
리 18
 
1.8%
Other values (174) 565
57.9%
Common
ValueCountFrequency (%)
197
99.0%
( 1
 
0.5%
) 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 976
83.1%
ASCII 199
 
16.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
197
99.0%
( 1
 
0.5%
) 1
 
0.5%
Hangul
ValueCountFrequency (%)
동 92
 
9.4%
하 88
 
9.0%
사 64
 
6.6%
계 37
 
3.8%
쌍 31
 
3.2%
성 21
 
2.2%
상 21
 
2.2%
원 20
 
2.0%
불 19
 
1.9%
리 18
 
1.8%
Other values (174) 565
57.9%

주소
Text

Distinct51
Distinct (%)47.2%
Missing0
Missing (%)0.0%
Memory size996.0 B
2023-12-11T08:10:11.094938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length12.509259
Min length9

Characters and Unicode

Total characters1351
Distinct characters100
Distinct categories7 ?
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 (%)38.0%

Sample

1st row화개면 범왕길 528
2nd row금남면 중평리 산6
3rd row화개면 상덕길 21
4th row화개면 쌍계사길 59
5th row화개면 쌍계사길 59
ValueCountFrequency (%)
화개면 43
 
13.2%
쌍계사길 34
 
10.4%
59 34
 
10.4%
옥종면 29
 
8.9%
고무능골길 11
 
3.4%
63-45 11
 
3.4%
악양면 9
 
2.8%
금남면 8
 
2.5%
안계길 7
 
2.1%
67-182 6
 
1.8%
Other values (101) 134
41.1%
2023-12-11T08:10:11.558341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
218
 
16.1%
면 106
 
7.8%
길 84
 
6.2%
5 64
 
4.7%
1 52
 
3.8%
- 51
 
3.8%
화 44
 
3.3%
개 44
 
3.3%
9 43
 
3.2%
계 41
 
3.0%
Other values (90) 604
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 744
55.1%
Decimal Number 335
24.8%
Space Separator 218
 
16.1%
Dash Punctuation 51
 
3.8%
Other Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 106
 
14.2%
길 84
 
11.3%
화 44
 
5.9%
개 44
 
5.9%
계 41
 
5.5%
사 36
 
4.8%
쌍 34
 
4.6%
옥 31
 
4.2%
종 29
 
3.9%
리 19
 
2.6%
Other values (75) 276
37.1%
Decimal Number
ValueCountFrequency (%)
5 64
19.1%
1 52
15.5%
9 43
12.8%
2 38
11.3%
6 35
10.4%
3 32
9.6%
4 24
 
7.2%
7 21
 
6.3%
0 13
 
3.9%
8 13
 
3.9%
Space Separator
ValueCountFrequency (%)
218
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 744
55.1%
Common 607
44.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 106
 
14.2%
길 84
 
11.3%
화 44
 
5.9%
개 44
 
5.9%
계 41
 
5.5%
사 36
 
4.8%
쌍 34
 
4.6%
옥 31
 
4.2%
종 29
 
3.9%
리 19
 
2.6%
Other values (75) 276
37.1%
Common
ValueCountFrequency (%)
218
35.9%
5 64
 
10.5%
1 52
 
8.6%
- 51
 
8.4%
9 43
 
7.1%
2 38
 
6.3%
6 35
 
5.8%
3 32
 
5.3%
4 24
 
4.0%
7 21
 
3.5%
Other values (5) 29
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 744
55.1%
ASCII 607
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
218
35.9%
5 64
 
10.5%
1 52
 
8.6%
- 51
 
8.4%
9 43
 
7.1%
2 38
 
6.3%
6 35
 
5.8%
3 32
 
5.3%
4 24
 
4.0%
7 21
 
3.5%
Other values (5) 29
 
4.8%
Hangul
ValueCountFrequency (%)
면 106
 
14.2%
길 84
 
11.3%
화 44
 
5.9%
개 44
 
5.9%
계 41
 
5.5%
사 36
 
4.8%
쌍 34
 
4.6%
옥 31
 
4.2%
종 29
 
3.9%
리 19
 
2.6%
Other values (75) 276
37.1%

수량
Categorical

Distinct40
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Memory size996.0 B
1동
20 
1점
10 
1책
9 
1기
9 
1폭
6 
Other values (35)
54 

Length

Max length8
Median length2
Mean length2.6574074
Min length2

Unique

Unique24 ?
Unique (%)22.2%

Sample

1st row1동
2nd row1필지
3rd row1동
4th row1동
5th row1동

Common Values

ValueCountFrequency (%)
1동 20
18.5%
1점 10
 
9.3%
1책 9
 
8.3%
1기 9
 
8.3%
1폭 6
 
5.6%
1주 5
 
4.6%
1구 4
 
3.7%
2권 1책 3
 
2.8%
<NA> 3
 
2.8%
1좌 3
 
2.8%
Other values (30) 36
33.3%

Length

2023-12-11T08:10:11.752926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1동 20
17.7%
1책 12
 
10.6%
1점 10
 
8.8%
1기 9
 
8.0%
1폭 6
 
5.3%
1주 5
 
4.4%
1구 4
 
3.5%
2권 3
 
2.7%
na 3
 
2.7%
1좌 3
 
2.7%
Other values (31) 38
33.6%

지정일
Date

MISSING 

Distinct53
Distinct (%)50.0%
Missing2
Missing (%)1.9%
Memory size996.0 B
Minimum1962-12-20 00:00:00
Maximum2022-11-11 00:00:00
2023-12-11T08:10:11.897848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:10:12.077109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

문의기관
Categorical

HIGH CORRELATION 

Distinct23
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Memory size996.0 B
종무소
37 
문화관광과
35 
하동군청
9 
경주김씨문중
4 
칠불사
 
2
Other values (18)
21 

Length

Max length13
Median length11
Mean length4.5185185
Min length3

Unique

Unique15 ?
Unique (%)13.9%

Sample

1st row칠불사
2nd row하동군청
3rd row악양정유계
4th row매표소
5th row종무소

Common Values

ValueCountFrequency (%)
종무소 37
34.3%
문화관광과 35
32.4%
하동군청 9
 
8.3%
경주김씨문중 4
 
3.7%
칠불사 2
 
1.9%
임천조씨 지족당 공파종중 2
 
1.9%
경충사유지관리위원회 2
 
1.9%
진양하씨문중 2
 
1.9%
진양정씨문중 1
 
0.9%
하동향교 1
 
0.9%
Other values (13) 13
 
12.0%

Length

2023-12-11T08:10:12.232675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
종무소 37
32.5%
문화관광과 35
30.7%
하동군청 9
 
7.9%
경주김씨문중 4
 
3.5%
공파종중 2
 
1.8%
경충사유지관리위원회 2
 
1.8%
진양하씨문중 2
 
1.8%
지족당 2
 
1.8%
임천조씨 2
 
1.8%
칠불사 2
 
1.8%
Other values (17) 17
14.9%

전화번호
Categorical

HIGH CORRELATION 

Distinct23
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Memory size996.0 B
055-883-1901
37 
055-880-2366
35 
055-880-2339
10 
055-882-5917
4 
055-883-1869
 
2
Other values (18)
20 

Length

Max length12
Median length12
Mean length11.925926
Min length4

Unique

Unique16 ?
Unique (%)14.8%

Sample

1st row055-883-1869
2nd row055-880-2339
3rd row055-883-2425
4th row055-883-7019
5th row055-883-1901

Common Values

ValueCountFrequency (%)
055-883-1901 37
34.3%
055-880-2366 35
32.4%
055-880-2339 10
 
9.3%
055-882-5917 4
 
3.7%
055-883-1869 2
 
1.9%
055-745-0666 2
 
1.9%
055-882-3733 2
 
1.9%
055-884-1464 1
 
0.9%
055-883-2425 1
 
0.9%
055-883-7019 1
 
0.9%
Other values (13) 13
 
12.0%

Length

2023-12-11T08:10:12.373939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
055-883-1901 37
34.3%
055-880-2366 35
32.4%
055-880-2339 10
 
9.3%
055-882-5917 4
 
3.7%
055-883-1869 2
 
1.9%
055-745-0666 2
 
1.9%
055-882-3733 2
 
1.9%
055-882-7557 1
 
0.9%
055-883-5083 1
 
0.9%
055-884-3191 1
 
0.9%
Other values (13) 13
 
12.0%

Interactions

2023-12-11T08:10:09.273071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:10:12.476314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번분류별주소수량지정일문의기관전화번호
연번1.0000.9490.7770.8420.8440.6320.593
분류별0.9491.0000.9620.9250.9380.9040.894
주소0.7770.9621.0000.9450.9880.9970.997
수량0.8420.9250.9451.0000.9380.6380.677
지정일0.8440.9380.9880.9381.0000.9570.970
문의기관0.6320.9040.9970.6380.9571.0001.000
전화번호0.5930.8940.9970.6770.9701.0001.000
2023-12-11T08:10:12.603907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전화번호문의기관분류별수량
전화번호1.0000.9700.4330.188
문의기관0.9701.0000.4530.168
분류별0.4330.4531.0000.426
수량0.1880.1680.4261.000
2023-12-11T08:10:12.697913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번분류별수량문의기관전화번호
연번1.0000.6480.3980.2700.244
분류별0.6481.0000.4260.4530.433
수량0.3980.4261.0000.1680.188
문의기관0.2700.4530.1681.0000.970
전화번호0.2440.4330.1880.9701.000

Missing values

2023-12-11T08:10:09.413339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:10:09.527614image/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

연번분류별구분주소수량지정일문의기관전화번호
01건물지하동 칠불사 아자방지화개면 범왕길 5281동1976-12-20칠불사055-883-1869
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