Overview

Dataset statistics

Number of variables13
Number of observations35
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.7 KiB
Average record size in memory108.8 B

Variable types

Numeric1
Text4
Categorical6
DateTime2

Dataset

Description충청북도 단양군_국가지정문화재현황 데이터로 연번, 지정번호, 명칭, 명칭(한자), 수량(면적), 소유자, 관리자, 소재지, 지정일, 분야, 종류, 동산/부동산, 데이터기준일자 등의 항목을 포함함.
Author충청북도 단양군
URLhttps://www.data.go.kr/data/15052827/fileData.do

Alerts

종류 is highly overall correlated with 연번 and 4 other fieldsHigh correlation
분야 is highly overall correlated with 연번 and 5 other fieldsHigh correlation
동산_부동산 is highly overall correlated with 연번 and 5 other fieldsHigh correlation
연번 is highly overall correlated with 분야 and 2 other fieldsHigh correlation
소유자 is highly overall correlated with 관리자 and 4 other fieldsHigh correlation
관리자 is highly overall correlated with 소유자 and 2 other fieldsHigh correlation
소재지 is highly overall correlated with 소유자 and 3 other fieldsHigh correlation
연번 has unique valuesUnique
지정번호 has unique valuesUnique
명칭 has unique valuesUnique
명칭(한자) has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:01:55.055494
Analysis finished2023-12-12 22:01:56.078396
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-13T07:01:56.145176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.7
Q19.5
median18
Q326.5
95-th percentile33.3
Maximum35
Range34
Interquartile range (IQR)17

Descriptive statistics

Standard deviation10.246951
Coefficient of variation (CV)0.56927504
Kurtosis-1.2
Mean18
Median Absolute Deviation (MAD)9
Skewness0
Sum630
Variance105
MonotonicityStrictly increasing
2023-12-13T07:01:56.260535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
1 1
 
2.9%
2 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
27 1
 
2.9%
28 1
 
2.9%
Other values (25) 25
71.4%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
35 1
2.9%
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%

지정번호
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-13T07:01:56.466921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length6
Mean length6.3714286
Min length5

Characters and Unicode

Total characters223
Distinct characters22
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

Unique35 ?
Unique (%)100.0%

Sample

1st row국보-198
2nd row국보-257
3rd row국보-279
4th row보물-405
5th row보물-960
ValueCountFrequency (%)
명승 4
 
10.0%
국보-198 1
 
2.5%
보물-1162 1
 
2.5%
보물-1714 1
 
2.5%
사적-264 1
 
2.5%
사적-265 1
 
2.5%
사적-398 1
 
2.5%
천기 1
 
2.5%
62 1
 
2.5%
보물-1164-1 1
 
2.5%
Other values (27) 27
67.5%
2023-12-13T07:01:56.801568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 34
15.2%
1 24
10.8%
보 22
9.9%
물 19
8.5%
6 17
 
7.6%
2 16
 
7.2%
4 15
 
6.7%
9 11
 
4.9%
0 10
 
4.5%
5 9
 
4.0%
Other values (12) 46
20.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 114
51.1%
Other Letter 70
31.4%
Dash Punctuation 34
 
15.2%
Space Separator 5
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 24
21.1%
6 17
14.9%
2 16
14.0%
4 15
13.2%
9 11
9.6%
0 10
8.8%
5 9
 
7.9%
7 7
 
6.1%
3 3
 
2.6%
8 2
 
1.8%
Other Letter
ValueCountFrequency (%)
보 22
31.4%
물 19
27.1%
기 5
 
7.1%
천 5
 
7.1%
명 4
 
5.7%
국 4
 
5.7%
승 4
 
5.7%
사 3
 
4.3%
적 3
 
4.3%
민 1
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 153
68.6%
Hangul 70
31.4%

Most frequent character per script

Common
ValueCountFrequency (%)
- 34
22.2%
1 24
15.7%
6 17
11.1%
2 16
10.5%
4 15
9.8%
9 11
 
7.2%
0 10
 
6.5%
5 9
 
5.9%
7 7
 
4.6%
5
 
3.3%
Other values (2) 5
 
3.3%
Hangul
ValueCountFrequency (%)
보 22
31.4%
물 19
27.1%
기 5
 
7.1%
천 5
 
7.1%
명 4
 
5.7%
국 4
 
5.7%
승 4
 
5.7%
사 3
 
4.3%
적 3
 
4.3%
민 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 153
68.6%
Hangul 70
31.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 34
22.2%
1 24
15.7%
6 17
11.1%
2 16
10.5%
4 15
9.8%
9 11
 
7.2%
0 10
 
6.5%
5 9
 
5.9%
7 7
 
4.6%
5
 
3.3%
Other values (2) 5
 
3.3%
Hangul
ValueCountFrequency (%)
보 22
31.4%
물 19
27.1%
기 5
 
7.1%
천 5
 
7.1%
명 4
 
5.7%
국 4
 
5.7%
승 4
 
5.7%
사 3
 
4.3%
적 3
 
4.3%
민 1
 
1.4%

명칭
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-13T07:01:57.006364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length13
Mean length10.228571
Min length4

Characters and Unicode

Total characters358
Distinct characters121
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

Unique35 ?
Unique (%)100.0%

Sample

1st row단양 신라 적성비
2nd row초조본 대방광불화엄경 주본 권29
3rd row초조본 대방광불화엄경 주본 권74
4th row단양 향산리 삼층석탑
5th row묘법연화경
ValueCountFrequency (%)
단양 14
 
18.2%
묘법연화경 4
 
5.2%
대방광불화엄경 3
 
3.9%
주본 3
 
3.9%
초조본 2
 
2.6%
권하 2
 
2.6%
대방광원각약소주경 2
 
2.6%
온달산성 1
 
1.3%
유적 1
 
1.3%
수양개 1
 
1.3%
Other values (44) 44
57.1%
2023-12-13T07:01:57.340510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42
 
11.7%
경 17
 
4.7%
양 15
 
4.2%
권 14
 
3.9%
단 14
 
3.9%
화 9
 
2.5%
본 8
 
2.2%
주 8
 
2.2%
대 8
 
2.2%
법 7
 
2.0%
Other values (111) 216
60.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 285
79.6%
Space Separator 42
 
11.7%
Decimal Number 22
 
6.1%
Other Punctuation 3
 
0.8%
Open Punctuation 2
 
0.6%
Close Punctuation 2
 
0.6%
Math Symbol 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 17
 
6.0%
양 15
 
5.3%
권 14
 
4.9%
단 14
 
4.9%
화 9
 
3.2%
본 8
 
2.8%
주 8
 
2.8%
대 8
 
2.8%
법 7
 
2.5%
방 7
 
2.5%
Other values (97) 178
62.5%
Decimal Number
ValueCountFrequency (%)
3 3
13.6%
2 3
13.6%
6 3
13.6%
8 3
13.6%
4 3
13.6%
7 3
13.6%
1 2
9.1%
9 1
 
4.5%
5 1
 
4.5%
Space Separator
ValueCountFrequency (%)
42
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 285
79.6%
Common 73
 
20.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 17
 
6.0%
양 15
 
5.3%
권 14
 
4.9%
단 14
 
4.9%
화 9
 
3.2%
본 8
 
2.8%
주 8
 
2.8%
대 8
 
2.8%
법 7
 
2.5%
방 7
 
2.5%
Other values (97) 178
62.5%
Common
ValueCountFrequency (%)
42
57.5%
3 3
 
4.1%
, 3
 
4.1%
2 3
 
4.1%
6 3
 
4.1%
8 3
 
4.1%
4 3
 
4.1%
7 3
 
4.1%
( 2
 
2.7%
) 2
 
2.7%
Other values (4) 6
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 285
79.6%
ASCII 73
 
20.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42
57.5%
3 3
 
4.1%
, 3
 
4.1%
2 3
 
4.1%
6 3
 
4.1%
8 3
 
4.1%
4 3
 
4.1%
7 3
 
4.1%
( 2
 
2.7%
) 2
 
2.7%
Other values (4) 6
 
8.2%
Hangul
ValueCountFrequency (%)
경 17
 
6.0%
양 15
 
5.3%
권 14
 
4.9%
단 14
 
4.9%
화 9
 
3.2%
본 8
 
2.8%
주 8
 
2.8%
대 8
 
2.8%
법 7
 
2.5%
방 7
 
2.5%
Other values (97) 178
62.5%

명칭(한자)
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-13T07:01:57.569604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length13
Mean length10.428571
Min length4

Characters and Unicode

Total characters365
Distinct characters142
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)100.0%

Sample

1st row丹陽 新羅 赤城碑
2nd row初雕本 大方廣佛華嚴經 周本 卷二十九
3rd row初雕本 大方廣佛華嚴經 周本 卷七十四
4th row丹陽 香山里 三層石塔
5th row妙法蓮華經
ValueCountFrequency (%)
丹陽 14
 
17.9%
妙法蓮華經 4
 
5.1%
大方廣佛華嚴經 3
 
3.8%
周本 3
 
3.8%
大方廣圓覺略疏注經 3
 
3.8%
初雕本 2
 
2.6%
卷下 2
 
2.6%
溫達山城 1
 
1.3%
遺蹟 1
 
1.3%
垂楊介 1
 
1.3%
Other values (44) 44
56.4%
2023-12-13T07:01:57.896379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43
 
11.8%
經 17
 
4.7%
丹 14
 
3.8%
陽 14
 
3.8%
卷 14
 
3.8%
華 9
 
2.5%
大 8
 
2.2%
本 8
 
2.2%
法 7
 
1.9%
廣 7
 
1.9%
Other values (132) 224
61.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 313
85.8%
Space Separator 43
 
11.8%
Other Punctuation 3
 
0.8%
Close Punctuation 2
 
0.5%
Open Punctuation 2
 
0.5%
Math Symbol 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
經 17
 
5.4%
丹 14
 
4.5%
陽 14
 
4.5%
卷 14
 
4.5%
華 9
 
2.9%
大 8
 
2.6%
本 8
 
2.6%
法 7
 
2.2%
廣 7
 
2.2%
方 7
 
2.2%
Other values (126) 208
66.5%
Math Symbol
ValueCountFrequency (%)
∼ 1
50.0%
~ 1
50.0%
Space Separator
ValueCountFrequency (%)
43
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Han 306
83.8%
Common 52
 
14.2%
Hangul 7
 
1.9%

Most frequent character per script

Han
ValueCountFrequency (%)
經 17
 
5.6%
丹 14
 
4.6%
陽 14
 
4.6%
卷 14
 
4.6%
華 9
 
2.9%
大 8
 
2.6%
本 8
 
2.6%
法 7
 
2.3%
廣 7
 
2.3%
方 7
 
2.3%
Other values (119) 201
65.7%
Hangul
ValueCountFrequency (%)
숲 1
14.3%
무 1
14.3%
나 1
14.3%
백 1
14.3%
측 1
14.3%
목 1
14.3%
주 1
14.3%
Common
ValueCountFrequency (%)
43
82.7%
, 3
 
5.8%
) 2
 
3.8%
( 2
 
3.8%
∼ 1
 
1.9%
~ 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
CJK 294
80.5%
ASCII 51
 
14.0%
CJK Compat Ideographs 12
 
3.3%
Hangul 7
 
1.9%
Math Operators 1
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
43
84.3%
, 3
 
5.9%
) 2
 
3.9%
( 2
 
3.9%
~ 1
 
2.0%
CJK
ValueCountFrequency (%)
經 17
 
5.8%
丹 14
 
4.8%
陽 14
 
4.8%
卷 14
 
4.8%
華 9
 
3.1%
大 8
 
2.7%
本 8
 
2.7%
法 7
 
2.4%
廣 7
 
2.4%
方 7
 
2.4%
Other values (114) 189
64.3%
CJK Compat Ideographs
ValueCountFrequency (%)
蓮 5
41.7%
六 4
33.3%
令 1
 
8.3%
宅 1
 
8.3%
蘆 1
 
8.3%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%
Hangul
ValueCountFrequency (%)
숲 1
14.3%
무 1
14.3%
나 1
14.3%
백 1
14.3%
측 1
14.3%
목 1
14.3%
주 1
14.3%

수량(면적)
Text

Distinct24
Distinct (%)68.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-13T07:01:58.105771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5
Min length2

Characters and Unicode

Total characters175
Distinct characters17
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

Unique18 ?
Unique (%)51.4%

Sample

1st row1기
2nd row1권 1축
3rd row1권 1축
4th row1,641
5th row7권 2책
ValueCountFrequency (%)
1책 11
21.6%
1권 10
19.6%
1첩 4
 
7.8%
3권 3
 
5.9%
2권 2
 
3.9%
1축 2
 
3.9%
361,040 1
 
2.0%
1기 1
 
2.0%
331,022 1
 
2.0%
159,667 1
 
2.0%
Other values (15) 15
29.4%
2023-12-13T07:01:58.388485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 38
21.7%
권 17
9.7%
16
9.1%
, 14
 
8.0%
책 12
 
6.9%
2 12
 
6.9%
3 10
 
5.7%
4 9
 
5.1%
6 9
 
5.1%
9 8
 
4.6%
Other values (7) 30
17.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 108
61.7%
Other Letter 37
 
21.1%
Space Separator 16
 
9.1%
Other Punctuation 14
 
8.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 38
35.2%
2 12
 
11.1%
3 10
 
9.3%
4 9
 
8.3%
6 9
 
8.3%
9 8
 
7.4%
0 7
 
6.5%
7 6
 
5.6%
8 5
 
4.6%
5 4
 
3.7%
Other Letter
ValueCountFrequency (%)
권 17
45.9%
책 12
32.4%
첩 5
 
13.5%
축 2
 
5.4%
기 1
 
2.7%
Space Separator
ValueCountFrequency (%)
16
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 138
78.9%
Hangul 37
 
21.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 38
27.5%
16
11.6%
, 14
 
10.1%
2 12
 
8.7%
3 10
 
7.2%
4 9
 
6.5%
6 9
 
6.5%
9 8
 
5.8%
0 7
 
5.1%
7 6
 
4.3%
Other values (2) 9
 
6.5%
Hangul
ValueCountFrequency (%)
권 17
45.9%
책 12
32.4%
첩 5
 
13.5%
축 2
 
5.4%
기 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 138
78.9%
Hangul 37
 
21.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 38
27.5%
16
11.6%
, 14
 
10.1%
2 12
 
8.7%
3 10
 
7.2%
4 9
 
6.5%
6 9
 
6.5%
9 8
 
5.8%
0 7
 
5.1%
7 6
 
4.3%
Other values (2) 9
 
6.5%
Hangul
ValueCountFrequency (%)
권 17
45.9%
책 12
32.4%
첩 5
 
13.5%
축 2
 
5.4%
기 1
 
2.7%

소유자
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)25.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
구인사
19 
단양군
8 
국유림
2 
방곡사
 
1
수자원
 
1
Other values (4)
4 

Length

Max length6
Median length3
Mean length3.1142857
Min length3

Unique

Unique6 ?
Unique (%)17.1%

Sample

1st row단양군
2nd row구인사
3rd row구인사
4th row단양군
5th row구인사

Common Values

ValueCountFrequency (%)
구인사 19
54.3%
단양군 8
22.9%
국유림 2
 
5.7%
방곡사 1
 
2.9%
수자원 1
 
2.9%
국(산림청) 1
 
2.9%
㈜유신 1
 
2.9%
제일동굴 1
 
2.9%
조성범 1
 
2.9%

Length

2023-12-13T07:01:58.516393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:01:58.637556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구인사 19
54.3%
단양군 8
22.9%
국유림 2
 
5.7%
방곡사 1
 
2.9%
수자원 1
 
2.9%
국(산림청 1
 
2.9%
㈜유신 1
 
2.9%
제일동굴 1
 
2.9%
조성범 1
 
2.9%

관리자
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)25.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
단양군
12 
구인사
12 
관문사
4 
성룡사
2 
대광사
 
1
Other values (4)
4 

Length

Max length4
Median length3
Mean length3.0285714
Min length3

Unique

Unique5 ?
Unique (%)14.3%

Sample

1st row단양군
2nd row구인사
3rd row구인사
4th row단양군
5th row관문사

Common Values

ValueCountFrequency (%)
단양군 12
34.3%
구인사 12
34.3%
관문사 4
 
11.4%
성룡사 2
 
5.7%
대광사 1
 
2.9%
방곡사 1
 
2.9%
㈜유신 1
 
2.9%
제일동굴 1
 
2.9%
조성범 1
 
2.9%

Length

2023-12-13T07:01:58.772370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:01:58.895431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단양군 12
34.3%
구인사 12
34.3%
관문사 4
 
11.4%
성룡사 2
 
5.7%
대광사 1
 
2.9%
방곡사 1
 
2.9%
㈜유신 1
 
2.9%
제일동굴 1
 
2.9%
조성범 1
 
2.9%

소재지
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)48.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
충청북도 단양군 영춘면 백자길9(불교천태종중앙박물관)
19 
충청북도 단양군 가곡면 어의곡리 산59-1
 
1
충청북도 단양군 가곡면 향산리 471-11
 
1
충청북도 단양군 대강면 황정산로 463-152
 
1
충청북도 단양군 영춘면 하리 산67
 
1
Other values (12)
12 

Length

Max length29
Median length29
Mean length25.714286
Min length17

Unique

Unique16 ?
Unique (%)45.7%

Sample

1st row충청북도 단양군 단성면 하방리 산3-1
2nd row충청북도 단양군 영춘면 백자길9(불교천태종중앙박물관)
3rd row충청북도 단양군 영춘면 백자길9(불교천태종중앙박물관)
4th row충청북도 단양군 가곡면 향산리 471-11
5th row충청북도 단양군 영춘면 백자길9(불교천태종중앙박물관)

Common Values

ValueCountFrequency (%)
충청북도 단양군 영춘면 백자길9(불교천태종중앙박물관) 19
54.3%
충청북도 단양군 가곡면 어의곡리 산59-1 1
 
2.9%
충청북도 단양군 가곡면 향산리 471-11 1
 
2.9%
충청북도 단양군 대강면 황정산로 463-152 1
 
2.9%
충청북도 단양군 영춘면 하리 산67 1
 
2.9%
충청북도 단양군 하방리 산3-1 1
 
2.9%
충청북도 단양군 적성면 애곡리 182-1 1
 
2.9%
충청북도 단양군 매포읍 영천리 산38-1 1
 
2.9%
충청북도 단양군 영춘면 하리 산 62 1
 
2.9%
충청북도 단양군 단성면 하방리 산3-1 1
 
2.9%
Other values (7) 7
 
20.0%

Length

2023-12-13T07:01:59.010841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충청북도 35
22.0%
단양군 35
22.0%
영춘면 21
13.2%
백자길9(불교천태종중앙박물관 19
11.9%
등 3
 
1.9%
단양읍 3
 
1.9%
가곡면 3
 
1.9%
단성면 2
 
1.3%
대강면 2
 
1.3%
하리 2
 
1.3%
Other values (31) 34
21.4%

지정일
Date

Distinct21
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
Minimum1962-12-03 00:00:00
Maximum2013-11-13 00:00:00
2023-12-13T07:01:59.096852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:01:59.192597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

분야
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size412.0 B
전적
20 
석조
8 
자연유산
4 
식물
 
2
목조
 
1

Length

Max length4
Median length2
Mean length2.2285714
Min length2

Unique

Unique1 ?
Unique (%)2.9%

Sample

1st row석조
2nd row전적
3rd row전적
4th row석조
5th row전적

Common Values

ValueCountFrequency (%)
전적 20
57.1%
석조 8
 
22.9%
자연유산 4
 
11.4%
식물 2
 
5.7%
목조 1
 
2.9%

Length

2023-12-13T07:01:59.324185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:01:59.429598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전적 20
57.1%
석조 8
 
22.9%
자연유산 4
 
11.4%
식물 2
 
5.7%
목조 1
 
2.9%

종류
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)22.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
목판본
20 
명승
4 
산성
3 
동굴
3 
나무
 
2
Other values (3)
3 

Length

Max length3
Median length3
Mean length2.6
Min length2

Unique

Unique3 ?
Unique (%)8.6%

Sample

1st row탑기타
2nd row목판본
3rd row목판본
4th row석탑
5th row목판본

Common Values

ValueCountFrequency (%)
목판본 20
57.1%
명승 4
 
11.4%
산성 3
 
8.6%
동굴 3
 
8.6%
나무 2
 
5.7%
탑기타 1
 
2.9%
석탑 1
 
2.9%
가옥 1
 
2.9%

Length

2023-12-13T07:01:59.543913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:01:59.658486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
목판본 20
57.1%
명승 4
 
11.4%
산성 3
 
8.6%
동굴 3
 
8.6%
나무 2
 
5.7%
탑기타 1
 
2.9%
석탑 1
 
2.9%
가옥 1
 
2.9%

동산_부동산
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
동산
20 
부동산
15 

Length

Max length3
Median length2
Mean length2.4285714
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부동산
2nd row동산
3rd row동산
4th row부동산
5th row동산

Common Values

ValueCountFrequency (%)
동산 20
57.1%
부동산 15
42.9%

Length

2023-12-13T07:01:59.782970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:01:59.856669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동산 20
57.1%
부동산 15
42.9%

데이터기준일자
Date

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
Minimum2021-04-22 00:00:00
Maximum2022-04-29 00:00:00
2023-12-13T07:01:59.923993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:02:00.003430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

Interactions

2023-12-13T07:01:55.694034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:02:00.099772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지정번호명칭명칭(한자)수량(면적)소유자관리자소재지지정일분야종류동산_부동산데이터기준일자
연번1.0001.0001.0001.0000.8240.6630.6560.4440.9550.9370.7920.9740.360
지정번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
명칭1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
명칭(한자)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
수량(면적)0.8241.0001.0001.0001.0000.9720.6060.9930.8471.0001.0001.0000.000
소유자0.6631.0001.0001.0000.9721.0000.9711.0000.9460.8970.8701.0000.000
관리자0.6561.0001.0001.0000.6060.9711.0000.8520.6330.8000.6941.0000.000
소재지0.4441.0001.0001.0000.9931.0000.8521.0000.7921.0001.0001.0000.000
지정일0.9551.0001.0001.0000.8470.9460.6330.7921.0001.0001.0001.0001.000
분야0.9371.0001.0001.0001.0000.8970.8001.0001.0001.0001.0001.0000.000
종류0.7921.0001.0001.0001.0000.8700.6941.0001.0001.0001.0001.0000.000
동산_부동산0.9741.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.000
데이터기준일자0.3601.0001.0001.0000.0000.0000.0000.0001.0000.0000.0000.0001.000
2023-12-13T07:02:00.212268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종류분야소재지소유자동산_부동산관리자
종류1.0000.9490.8160.6530.9050.416
분야0.9491.0000.7750.7310.9530.579
소재지0.8160.7751.0000.8320.7390.449
소유자0.6530.7310.8321.0000.8880.714
동산_부동산0.9050.9530.7390.8881.0000.888
관리자0.4160.5790.4490.7140.8881.000
2023-12-13T07:02:00.311031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소유자관리자소재지분야종류동산_부동산
연번1.0000.3590.3630.0900.6010.5110.746
소유자0.3591.0000.7140.8320.7310.6530.888
관리자0.3630.7141.0000.4490.5790.4160.888
소재지0.0900.8320.4491.0000.7750.8160.739
분야0.6010.7310.5790.7751.0000.9490.953
종류0.5110.6530.4160.8160.9491.0000.905
동산_부동산0.7460.8880.8880.7390.9530.9051.000

Missing values

2023-12-13T07:01:55.837321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:01:56.010381image/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

연번지정번호명칭명칭(한자)수량(면적)소유자관리자소재지지정일분야종류동산_부동산데이터기준일자
01국보-198단양 신라 적성비丹陽 新羅 赤城碑1기단양군단양군충청북도 단양군 단성면 하방리 산3-11979-05-22석조탑기타부동산2022-04-29
12국보-257초조본 대방광불화엄경 주본 권29初雕本 大方廣佛華嚴經 周本 卷二十九1권 1축구인사구인사충청북도 단양군 영춘면 백자길9(불교천태종중앙박물관)1990-09-20전적목판본동산2022-04-29
23국보-279초조본 대방광불화엄경 주본 권74初雕本 大方廣佛華嚴經 周本 卷七十四1권 1축구인사구인사충청북도 단양군 영춘면 백자길9(불교천태종중앙박물관)1993-06-15전적목판본동산2022-04-29
34보물-405단양 향산리 삼층석탑丹陽 香山里 三層石塔1,641단양군단양군충청북도 단양군 가곡면 향산리 471-111964-09-04석조석탑부동산2022-04-29
45보물-960묘법연화경妙法蓮華經7권 2책구인사관문사충청북도 단양군 영춘면 백자길9(불교천태종중앙박물관)1988-12-28전적목판본동산2022-04-29
56보물-962묘법연화경 권6~7妙法蓮華經 卷六~七2권 1책구인사관문사충청북도 단양군 영춘면 백자길9(불교천태종중앙박물관)1988-12-28전적목판본동산2022-04-29
67보물-963대방광원각약소주경 권하大方廣圓覺略疏注經 卷下1권 1첩구인사대광사충청북도 단양군 영춘면 백자길9(불교천태종중앙박물관)1988-12-28전적목판본동산2022-04-29
78보물-964대방광원각약소주경 권41大方廣圓覺略疏注經 卷四十一1권 1첩구인사관문사충청북도 단양군 영춘면 백자길9(불교천태종중앙박물관)1988-12-28전적목판본동산2022-04-29
89보물-965-1육경합부六經合部1책구인사성룡사충청북도 단양군 영춘면 백자길9(불교천태종중앙박물관)1988-12-28전적목판본동산2022-04-29
910보물-966지장보살본원경地藏菩薩本願經3권 1책구인사관문사충청북도 단양군 영춘면 백자길9(불교천태종중앙박물관)1988-12-28전적목판본동산2022-04-29
연번지정번호명칭명칭(한자)수량(면적)소유자관리자소재지지정일분야종류동산_부동산데이터기준일자
2526천기- 62단양 영천리 측백나무 숲丹陽 令泉里 측백나무 숲54,913단양군단양군충청북도 단양군 매포읍 영천리 산38-11962-12-03식물나무부동산2022-04-29
2627천기-244소백산 주목군락小白山 주목群落331,022국(산림청)단양군충청북도 단양군 가곡면 어의곡리 산59-11973-06-20식물나무부동산2022-04-29
2728천기-256단양 고수동굴丹陽 古藪洞窟61,784㈜유신㈜유신충청북도 단양군 단양읍 고수리 산4-21976-09-21석조동굴부동산2022-04-29
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