Overview

Dataset statistics

Number of variables15
Number of observations123
Missing cells626
Missing cells (%)33.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.3 KiB
Average record size in memory127.1 B

Variable types

Numeric2
Text4
Categorical4
DateTime1
Unsupported4

Dataset

Description해남군의 문화재 현황 정보에 대한 데이터로, 국가지정, 도지정, 향토 문화유산의 목록 및 현황 등의 항목을 제공합니다.
Author전라남도 해남군
URLhttps://www.data.go.kr/data/3036256/fileData.do

Alerts

지정구분 is highly overall correlated with 번호 and 3 other fieldsHigh correlation
분류 is highly overall correlated with 번호 and 2 other fieldsHigh correlation
번호 is highly overall correlated with 지정번호 and 2 other fieldsHigh correlation
지정번호 is highly overall correlated with 번호 and 1 other fieldsHigh correlation
소유자 is highly overall correlated with 지정구분 and 1 other fieldsHigh correlation
상세 has 76 (61.8%) missing valuesMissing
면적 has 58 (47.2%) missing valuesMissing
Unnamed: 11 has 123 (100.0%) missing valuesMissing
Unnamed: 12 has 123 (100.0%) missing valuesMissing
Unnamed: 13 has 123 (100.0%) missing valuesMissing
Unnamed: 14 has 123 (100.0%) missing valuesMissing
번호 has unique valuesUnique
Unnamed: 11 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 12 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 13 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 14 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 07:06:56.849889
Analysis finished2023-12-12 07:06:58.907985
Duration2.06 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct123
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62
Minimum1
Maximum123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T16:06:58.984319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.1
Q131.5
median62
Q392.5
95-th percentile116.9
Maximum123
Range122
Interquartile range (IQR)61

Descriptive statistics

Standard deviation35.651087
Coefficient of variation (CV)0.57501753
Kurtosis-1.2
Mean62
Median Absolute Deviation (MAD)31
Skewness0
Sum7626
Variance1271
MonotonicityStrictly increasing
2023-12-12T16:06:59.142154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
79 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
85 1
 
0.8%
Other values (113) 113
91.9%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
123 1
0.8%
122 1
0.8%
121 1
0.8%
120 1
0.8%
119 1
0.8%
118 1
0.8%
117 1
0.8%
116 1
0.8%
115 1
0.8%
114 1
0.8%

명칭
Text

Distinct120
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T16:06:59.436012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length19
Mean length10.398374
Min length3

Characters and Unicode

Total characters1279
Distinct characters208
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique118 ?
Unique (%)95.9%

Sample

1st row윤두서자화상
2nd row해남 대흥사 북미륵암 마애여래좌상
3rd row탑산사명 동종
4th row해남 대흥사 북미륵암 삼층석탑
5th row해남 대흥사 삼층석탑
ValueCountFrequency (%)
해남 53
 
16.0%
대흥사 16
 
4.8%
미황사 7
 
2.1%
일괄 5
 
1.5%
및 5
 
1.5%
명인 4
 
1.2%
옥공예 3
 
0.9%
서동사 3
 
0.9%
서산대사 3
 
0.9%
가옥 3
 
0.9%
Other values (199) 229
69.2%
2023-12-12T16:06:59.812125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
208
 
16.3%
해 66
 
5.2%
남 64
 
5.0%
사 51
 
4.0%
대 35
 
2.7%
산 27
 
2.1%
리 24
 
1.9%
석 21
 
1.6%
흥 20
 
1.6%
고 19
 
1.5%
Other values (198) 744
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1066
83.3%
Space Separator 208
 
16.3%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
해 66
 
6.2%
남 64
 
6.0%
사 51
 
4.8%
대 35
 
3.3%
산 27
 
2.5%
리 24
 
2.3%
석 21
 
2.0%
흥 20
 
1.9%
고 19
 
1.8%
상 16
 
1.5%
Other values (194) 723
67.8%
Space Separator
ValueCountFrequency (%)
208
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Decimal Number
ValueCountFrequency (%)
5 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1063
83.1%
Common 213
 
16.7%
Han 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
해 66
 
6.2%
남 64
 
6.0%
사 51
 
4.8%
대 35
 
3.3%
산 27
 
2.5%
리 24
 
2.3%
석 21
 
2.0%
흥 20
 
1.9%
고 19
 
1.8%
상 16
 
1.5%
Other values (191) 720
67.7%
Common
ValueCountFrequency (%)
208
97.7%
) 2
 
0.9%
( 2
 
0.9%
5 1
 
0.5%
Han
ValueCountFrequency (%)
口 1
33.3%
木 1
33.3%
浦 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1063
83.1%
ASCII 213
 
16.7%
CJK 3
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
208
97.7%
) 2
 
0.9%
( 2
 
0.9%
5 1
 
0.5%
Hangul
ValueCountFrequency (%)
해 66
 
6.2%
남 64
 
6.0%
사 51
 
4.8%
대 35
 
3.3%
산 27
 
2.5%
리 24
 
2.3%
석 21
 
2.0%
흥 20
 
1.9%
고 19
 
1.8%
상 16
 
1.5%
Other values (191) 720
67.7%
CJK
ValueCountFrequency (%)
口 1
33.3%
木 1
33.3%
浦 1
33.3%

상세
Text

MISSING 

Distinct28
Distinct (%)59.6%
Missing76
Missing (%)61.8%
Memory size1.1 KiB
2023-12-12T16:07:00.065142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length2
Mean length6.1276596
Min length2

Characters and Unicode

Total characters288
Distinct characters99
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)42.6%

Sample

1st row윤씨가보 1권, 가전보회 1권, 동국여지도 1매, 일본여도 1매
2nd row금쇄동집고 1책, 금쇄동기 1책, 산중신곡 1책, 은사첨 2책, 예조입안 1책
3rd row건축면적 17.2m2, 연면적 17.22m2, 등대높이 7.22. m2
4th row높이 910m
5th row소재지 외 전라남도 해남군 화원면 금평리 428-1외 일원
ValueCountFrequency (%)
무형 7
 
9.0%
1책 4
 
5.1%
재실 4
 
5.1%
사당 3
 
3.8%
석성 3
 
3.8%
가옥 3
 
3.8%
정려 3
 
3.8%
1매 2
 
2.6%
1권 2
 
2.6%
미륵불상(석조 2
 
2.6%
Other values (44) 45
57.7%
2023-12-12T16:07:00.444497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31
 
10.8%
1 15
 
5.2%
석 11
 
3.8%
2 10
 
3.5%
, 10
 
3.5%
. 8
 
2.8%
무 7
 
2.4%
형 7
 
2.4%
사 6
 
2.1%
책 6
 
2.1%
Other values (89) 177
61.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 183
63.5%
Decimal Number 37
 
12.8%
Space Separator 31
 
10.8%
Other Punctuation 20
 
6.9%
Close Punctuation 6
 
2.1%
Open Punctuation 6
 
2.1%
Lowercase Letter 4
 
1.4%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
석 11
 
6.0%
무 7
 
3.8%
형 7
 
3.8%
사 6
 
3.3%
책 6
 
3.3%
재 5
 
2.7%
가 5
 
2.7%
금 5
 
2.7%
실 4
 
2.2%
성 4
 
2.2%
Other values (72) 123
67.2%
Decimal Number
ValueCountFrequency (%)
1 15
40.5%
2 10
27.0%
7 4
 
10.8%
4 2
 
5.4%
0 2
 
5.4%
6 1
 
2.7%
3 1
 
2.7%
9 1
 
2.7%
8 1
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 10
50.0%
. 8
40.0%
* 2
 
10.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 183
63.5%
Common 101
35.1%
Latin 4
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
석 11
 
6.0%
무 7
 
3.8%
형 7
 
3.8%
사 6
 
3.3%
책 6
 
3.3%
재 5
 
2.7%
가 5
 
2.7%
금 5
 
2.7%
실 4
 
2.2%
성 4
 
2.2%
Other values (72) 123
67.2%
Common
ValueCountFrequency (%)
31
30.7%
1 15
14.9%
2 10
 
9.9%
, 10
 
9.9%
. 8
 
7.9%
) 6
 
5.9%
( 6
 
5.9%
7 4
 
4.0%
4 2
 
2.0%
* 2
 
2.0%
Other values (6) 7
 
6.9%
Latin
ValueCountFrequency (%)
m 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 183
63.5%
ASCII 105
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31
29.5%
1 15
14.3%
2 10
 
9.5%
, 10
 
9.5%
. 8
 
7.6%
) 6
 
5.7%
( 6
 
5.7%
7 4
 
3.8%
m 4
 
3.8%
4 2
 
1.9%
Other values (7) 9
 
8.6%
Hangul
ValueCountFrequency (%)
석 11
 
6.0%
무 7
 
3.8%
형 7
 
3.8%
사 6
 
3.3%
책 6
 
3.3%
재 5
 
2.7%
가 5
 
2.7%
금 5
 
2.7%
실 4
 
2.2%
성 4
 
2.2%
Other values (72) 123
67.2%

지정번호
Real number (ℝ)

HIGH CORRELATION 

Distinct115
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean281.28455
Minimum1
Maximum1959
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T16:07:00.591997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q127.5
median120
Q3309
95-th percentile1528
Maximum1959
Range1958
Interquartile range (IQR)281.5

Descriptive statistics

Standard deviation442.56352
Coefficient of variation (CV)1.5733659
Kurtosis5.3858096
Mean281.28455
Median Absolute Deviation (MAD)104
Skewness2.4706157
Sum34598
Variance195862.47
MonotonicityNot monotonic
2023-12-12T16:07:00.762179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 3
 
2.4%
25 2
 
1.6%
86 2
 
1.6%
232 2
 
1.6%
245 2
 
1.6%
19 2
 
1.6%
20 2
 
1.6%
1 1
 
0.8%
2 1
 
0.8%
3 1
 
0.8%
Other values (105) 105
85.4%
ValueCountFrequency (%)
1 1
 
0.8%
2 1
 
0.8%
3 1
 
0.8%
4 1
 
0.8%
5 1
 
0.8%
7 1
 
0.8%
8 3
2.4%
9 1
 
0.8%
10 1
 
0.8%
11 1
 
0.8%
ValueCountFrequency (%)
1959 1
0.8%
1863 1
0.8%
1807 1
0.8%
1715 1
0.8%
1667 1
0.8%
1552 1
0.8%
1547 1
0.8%
1357 1
0.8%
1347 1
0.8%
1342 1
0.8%

지정구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
도
44 
군
42 
국가
37 

Length

Max length2
Median length1
Mean length1.300813
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
도 44
35.8%
군 42
34.1%
국가 37
30.1%

Length

2023-12-12T16:07:00.918940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:07:01.039398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도 44
35.8%
군 42
34.1%
국가 37
30.1%

분류
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
향토문화유산
42 
보물
19 
유형문화재
15 
기념물
14 
문화재자료
11 
Other values (9)
22 

Length

Max length7
Median length6
Mean length4.4471545
Min length2

Unique

Unique3 ?
Unique (%)2.4%

Sample

1st row국보
2nd row국보
3rd row보물
4th row보물
5th row보물

Common Values

ValueCountFrequency (%)
향토문화유산 42
34.1%
보물 19
15.4%
유형문화재 15
 
12.2%
기념물 14
 
11.4%
문화재자료 11
 
8.9%
사적 6
 
4.9%
천연기념물 4
 
3.3%
무형문화재 3
 
2.4%
국보 2
 
1.6%
명승 2
 
1.6%
Other values (4) 5
 
4.1%

Length

2023-12-12T16:07:01.169165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
향토문화유산 42
34.1%
보물 19
15.4%
유형문화재 15
 
12.2%
기념물 14
 
11.4%
문화재자료 11
 
8.9%
사적 6
 
4.9%
천연기념물 4
 
3.3%
무형문화재 3
 
2.4%
국보 2
 
1.6%
명승 2
 
1.6%
Other values (4) 5
 
4.1%

수량
Categorical

Distinct35
Distinct (%)28.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
47 
1기
13 
1동
9 
일곽
6 
3구
 
4
Other values (30)
44 

Length

Max length7
Median length5
Mean length3.0406504
Min length1

Unique

Unique23 ?
Unique (%)18.7%

Sample

1st row1폭
2nd row1좌
3rd row1구
4th row1기
5th row1기

Common Values

ValueCountFrequency (%)
<NA> 47
38.2%
1기 13
 
10.6%
1동 9
 
7.3%
일곽 6
 
4.9%
3구 4
 
3.3%
1구 4
 
3.3%
1곽 4
 
3.3%
일원 4
 
3.3%
2기 3
 
2.4%
1폭 2
 
1.6%
Other values (25) 27
22.0%

Length

2023-12-12T16:07:01.313700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 47
37.0%
1기 13
 
10.2%
1동 9
 
7.1%
일곽 6
 
4.7%
3구 4
 
3.1%
1구 4
 
3.1%
1곽 4
 
3.1%
일원 4
 
3.1%
2기 3
 
2.4%
1폭 2
 
1.6%
Other values (28) 31
24.4%

면적
Text

MISSING 

Distinct64
Distinct (%)98.5%
Missing58
Missing (%)47.2%
Memory size1.1 KiB
2023-12-12T16:07:01.564415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.0615385
Min length2

Characters and Unicode

Total characters264
Distinct characters12
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

Unique63 ?
Unique (%)96.9%

Sample

1st row17047
2nd row2673
3rd row14268
4th row17553
5th row149700
ValueCountFrequency (%)
50 2
 
3.1%
55178 1
 
1.5%
1021 1
 
1.5%
44 1
 
1.5%
1417 1
 
1.5%
486 1
 
1.5%
3498 1
 
1.5%
1058 1
 
1.5%
11204 1
 
1.5%
45223 1
 
1.5%
Other values (54) 54
83.1%
2023-12-12T16:07:02.049862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 37
14.0%
1 37
14.0%
2 32
12.1%
3 27
10.2%
5 26
9.8%
4 26
9.8%
6 23
8.7%
7 19
7.2%
9 19
7.2%
8 14
 
5.3%
Other values (2) 4
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 260
98.5%
Other Punctuation 4
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 37
14.2%
1 37
14.2%
2 32
12.3%
3 27
10.4%
5 26
10.0%
4 26
10.0%
6 23
8.8%
7 19
7.3%
9 19
7.3%
8 14
 
5.4%
Other Punctuation
ValueCountFrequency (%)
. 3
75.0%
, 1
 
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 264
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 37
14.0%
1 37
14.0%
2 32
12.1%
3 27
10.2%
5 26
9.8%
4 26
9.8%
6 23
8.7%
7 19
7.2%
9 19
7.2%
8 14
 
5.3%
Other values (2) 4
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 264
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 37
14.0%
1 37
14.0%
2 32
12.1%
3 27
10.2%
5 26
9.8%
4 26
9.8%
6 23
8.7%
7 19
7.2%
9 19
7.2%
8 14
 
5.3%
Other values (2) 4
 
1.5%

소유자
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)19.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
사유
43 
대흥사
24 
국
15 
윤형식
7 
미황사
7 
Other values (19)
27 

Length

Max length16
Median length11
Mean length2.6260163
Min length1

Unique

Unique16 ?
Unique (%)13.0%

Sample

1st row윤형식
2nd row대흥사
3rd row대흥사
4th row대흥사
5th row대흥사

Common Values

ValueCountFrequency (%)
사유 43
35.0%
대흥사 24
19.5%
국 15
 
12.2%
윤형식 7
 
5.7%
미황사 7
 
5.7%
해남군 6
 
4.9%
서동사 3
 
2.4%
국유 2
 
1.6%
이인자 1
 
0.8%
노송사 1
 
0.8%
Other values (14) 14
 
11.4%

Length

2023-12-12T16:07:02.235591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사유 43
34.1%
대흥사 24
19.0%
국 15
 
11.9%
윤형식 7
 
5.6%
미황사 7
 
5.6%
해남군 6
 
4.8%
서동사 3
 
2.4%
국유 2
 
1.6%
목포지방 1
 
0.8%
은적사 1
 
0.8%
Other values (17) 17
 
13.5%

소재지
Text

Distinct94
Distinct (%)76.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T16:07:02.679791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length20.666667
Min length16

Characters and Unicode

Total characters2542
Distinct characters107
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

Unique86 ?
Unique (%)69.9%

Sample

1st row전라남도 해남군 해남읍 녹우당길 135
2nd row전라남도 해남군 삼산면 구림리 산 8-1
3rd row전라남도 해남군 삼산면 대흥사길 400
4th row전라남도 해남군 삼산면 구림리 산 8-1
5th row전라남도 해남군 삼산면 대흥사길 400
ValueCountFrequency (%)
전라남도 123
20.0%
해남군 123
20.0%
삼산면 27
 
4.4%
해남읍 20
 
3.3%
대흥사길 17
 
2.8%
400 17
 
2.8%
황산면 11
 
1.8%
송지면 10
 
1.6%
옥천면 7
 
1.1%
구림리 7
 
1.1%
Other values (173) 252
41.0%
2023-12-12T16:07:03.269849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
491
19.3%
남 269
 
10.6%
해 145
 
5.7%
군 124
 
4.9%
전 123
 
4.8%
도 123
 
4.8%
라 123
 
4.8%
면 102
 
4.0%
산 91
 
3.6%
1 82
 
3.2%
Other values (97) 869
34.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1651
64.9%
Space Separator 491
 
19.3%
Decimal Number 362
 
14.2%
Dash Punctuation 38
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 269
16.3%
해 145
 
8.8%
군 124
 
7.5%
전 123
 
7.5%
도 123
 
7.5%
라 123
 
7.5%
면 102
 
6.2%
산 91
 
5.5%
리 68
 
4.1%
길 47
 
2.8%
Other values (85) 436
26.4%
Decimal Number
ValueCountFrequency (%)
1 82
22.7%
0 56
15.5%
4 54
14.9%
2 34
9.4%
6 25
 
6.9%
3 24
 
6.6%
9 23
 
6.4%
5 22
 
6.1%
7 22
 
6.1%
8 20
 
5.5%
Space Separator
ValueCountFrequency (%)
491
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1651
64.9%
Common 891
35.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 269
16.3%
해 145
 
8.8%
군 124
 
7.5%
전 123
 
7.5%
도 123
 
7.5%
라 123
 
7.5%
면 102
 
6.2%
산 91
 
5.5%
리 68
 
4.1%
길 47
 
2.8%
Other values (85) 436
26.4%
Common
ValueCountFrequency (%)
491
55.1%
1 82
 
9.2%
0 56
 
6.3%
4 54
 
6.1%
- 38
 
4.3%
2 34
 
3.8%
6 25
 
2.8%
3 24
 
2.7%
9 23
 
2.6%
5 22
 
2.5%
Other values (2) 42
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1651
64.9%
ASCII 891
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
491
55.1%
1 82
 
9.2%
0 56
 
6.3%
4 54
 
6.1%
- 38
 
4.3%
2 34
 
3.8%
6 25
 
2.8%
3 24
 
2.7%
9 23
 
2.6%
5 22
 
2.5%
Other values (2) 42
 
4.7%
Hangul
ValueCountFrequency (%)
남 269
16.3%
해 145
 
8.8%
군 124
 
7.5%
전 123
 
7.5%
도 123
 
7.5%
라 123
 
7.5%
면 102
 
6.2%
산 91
 
5.5%
리 68
 
4.1%
길 47
 
2.8%
Other values (85) 436
26.4%

지정일
Date

Distinct78
Distinct (%)63.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1963-01-21 00:00:00
Maximum2022-03-17 00:00:00
2023-12-12T16:07:03.428354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:07:03.593219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Unnamed: 11
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing123
Missing (%)100.0%
Memory size1.2 KiB

Unnamed: 12
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing123
Missing (%)100.0%
Memory size1.2 KiB

Unnamed: 13
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing123
Missing (%)100.0%
Memory size1.2 KiB

Unnamed: 14
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing123
Missing (%)100.0%
Memory size1.2 KiB

Interactions

2023-12-12T16:06:58.229790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:06:57.711793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:06:58.343394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:06:58.118078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:07:03.722791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호상세지정번호지정구분분류수량면적소유자소재지지정일
번호1.0000.9640.6150.9620.8880.7460.9430.7190.8740.980
상세0.9641.0001.0001.0001.0001.0000.8240.9820.8710.889
지정번호0.6151.0001.0000.6870.6260.6951.0000.0000.0000.998
지정구분0.9621.0000.6871.0001.0000.6861.0000.8760.7871.000
분류0.8881.0000.6261.0001.0000.8831.0000.9400.9310.993
수량0.7461.0000.6950.6860.8831.0001.0000.8460.0000.958
면적0.9430.8241.0001.0001.0001.0001.0001.0001.0000.999
소유자0.7190.9820.0000.8760.9400.8461.0001.0001.0000.988
소재지0.8740.8710.0000.7870.9310.0001.0001.0001.0000.000
지정일0.9800.8890.9981.0000.9930.9580.9990.9880.0001.000
2023-12-12T16:07:03.870726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정구분수량분류소유자
지정구분1.0000.3400.9530.584
수량0.3401.0000.4230.316
분류0.9530.4231.0000.636
소유자0.5840.3160.6361.000
2023-12-12T16:07:03.980153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호지정번호지정구분분류수량소유자
번호1.000-0.7330.9340.6220.3080.334
지정번호-0.7331.0000.5580.3260.2690.000
지정구분0.9340.5581.0000.9530.3400.584
분류0.6220.3260.9531.0000.4230.636
수량0.3080.2690.3400.4231.0000.316
소유자0.3340.0000.5840.6360.3161.000

Missing values

2023-12-12T16:06:58.473885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:06:58.709311image/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.
2023-12-12T16:06:58.856476image/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

번호명칭상세지정번호지정구분분류수량면적소유자소재지지정일Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14
01윤두서자화상<NA>240국가국보1폭<NA>윤형식전라남도 해남군 해남읍 녹우당길 1351987-12-26<NA><NA><NA><NA>
12해남 대흥사 북미륵암 마애여래좌상<NA>308국가국보1좌<NA>대흥사전라남도 해남군 삼산면 구림리 산 8-12005-09-28<NA><NA><NA><NA>
23탑산사명 동종<NA>88국가보물1구<NA>대흥사전라남도 해남군 삼산면 대흥사길 4001963-01-21<NA><NA><NA><NA>
34해남 대흥사 북미륵암 삼층석탑<NA>301국가보물1기<NA>대흥사전라남도 해남군 삼산면 구림리 산 8-11963-01-21<NA><NA><NA><NA>
45해남 대흥사 삼층석탑<NA>320국가보물1기<NA>대흥사전라남도 해남군 삼산면 대흥사길 4001963-01-21<NA><NA><NA><NA>
56해남윤씨 가전 고화첩윤씨가보 1권, 가전보회 1권, 동국여지도 1매, 일본여도 1매481국가보물일괄<NA>윤형식전라남도 해남군 해남읍 녹우당길 1351968-12-19<NA><NA><NA><NA>
67윤선도 종가 문적금쇄동집고 1책, 금쇄동기 1책, 산중신곡 1책, 은사첨 2책, 예조입안 1책482국가보물일괄<NA>윤형식전라남도 해남군 해남읍 녹우당길 1361968-12-19<NA><NA><NA><NA>
78윤단학 노비허여문기 및 입안<NA>483국가보물1첨<NA>윤형식전라남도 해남군 해남읍 녹우당길 1411968-12-19<NA><NA><NA><NA>
89해남 명량대첩비<NA>503국가보물1기17047이충무공유적보존회전라남도 해남군 문내면 동외리 955-61969-06-16<NA><NA><NA><NA>
910해남 미황사 대웅전<NA>947국가보물1동2673미황사전라남도 해남군 송지면 미황사길 1641988-04-01<NA><NA><NA><NA>
번호명칭상세지정번호지정구분분류수량면적소유자소재지지정일Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14
113114도자기공예 명인무형34군향토문화유산<NA><NA>사유전라남도 해남군 황산면 연자로 1222015-06-29<NA><NA><NA><NA>
114115광보사 육경합부책자35군향토문화유산<NA><NA>사유전라남도 해남군 옥천면 옥동길 19-202016-08-26<NA><NA><NA><NA>
115116이한봉 고택가옥36군향토문화유산<NA>105.7사유전라남도 해남군 해남읍 복평리 219-12019-01-04<NA><NA><NA><NA>
116117효자김석한정려정려37군향토문화유산<NA>15사유전라남도 해남군 북평면 남창리 309-2019-01-04<NA><NA><NA><NA>
117118동해리 석정우물38군향토문화유산<NA>50해남군전라남도 해남군 북평면 동해리 8022019-01-04<NA><NA><NA><NA>
118119정영철 고택가옥39군향토문화유산<NA>320사유전라남도 해남군 황산면 평덕길 1012019-01-04<NA><NA><NA><NA>
119120해남 오구굿무형40군향토문화유산<NA><NA>사유전라남도 해남군 해남읍 해남로 160-212020-10-07<NA><NA><NA><NA>
120121화산 호미재재실41군향토문화유산<NA>81사유전라남도 해남군 화산면 월호리 7172020-10-07<NA><NA><NA><NA>
121122현산 고다산성석성42군향토문화유산<NA>10,304사유전라남도 해남군 현산면 읍호리 2642020-10-07<NA><NA><NA><NA>
122123광보사 지장보살본원경전적43군향토문화유산<NA><NA>사유전라남도 해남군 옥천면 옥동길 19-202020-10-07<NA><NA><NA><NA>