Overview

Dataset statistics

Number of variables13
Number of observations54
Missing cells44
Missing cells (%)6.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.7 KiB
Average record size in memory108.4 B

Variable types

Numeric2
Text2
Categorical7
DateTime2

Dataset

Description충청북도 단양군 도지정문화재현황 데이터로 연번, 지정번호, 명칭, 보호구역면적, 수량, 소유자, 관리자, 소재지, 지정일, 분야, 종류, 동산/부동산, 데이터기준일자 등 항목으로 구성
Author충청북도 단양군
URLhttps://www.data.go.kr/data/15052828/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
소유자 is highly overall correlated with 보호구역면적 and 6 other fieldsHigh correlation
관리자 is highly overall correlated with 수량 and 5 other fieldsHigh correlation
연번 is highly overall correlated with 동산_부동산High correlation
보호구역면적 is highly overall correlated with 소유자 and 2 other fieldsHigh correlation
수량 is highly overall correlated with 소유자 and 5 other fieldsHigh correlation
소재지 is highly overall correlated with 보호구역면적 and 6 other fieldsHigh correlation
분야 is highly overall correlated with 수량 and 5 other fieldsHigh correlation
종류 is highly overall correlated with 수량 and 5 other fieldsHigh correlation
동산_부동산 is highly overall correlated with 연번 and 7 other fieldsHigh correlation
보호구역면적 has 44 (81.5%) missing valuesMissing
연번 has unique valuesUnique
지정번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:05:48.138501
Analysis finished2023-12-12 23:05:49.567383
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.5
Minimum1
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-13T08:05:49.653264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.65
Q114.25
median27.5
Q340.75
95-th percentile51.35
Maximum54
Range53
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation15.732133
Coefficient of variation (CV)0.57207755
Kurtosis-1.2
Mean27.5
Median Absolute Deviation (MAD)13.5
Skewness0
Sum1485
Variance247.5
MonotonicityStrictly increasing
2023-12-13T08:05:49.847854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
42 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
38 1
 
1.9%
Other values (44) 44
81.5%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
54 1
1.9%
53 1
1.9%
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%

지정번호
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-13T08:05:50.110267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length6
Mean length6.0740741
Min length4

Characters and Unicode

Total characters328
Distinct characters26
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

Unique54 ?
Unique (%)100.0%

Sample

1st row유형-80
2nd row유형-81
3rd row유형-82
4th row유형-106
5th row유형-107
ValueCountFrequency (%)
문화재자료 2
 
3.6%
유형-327 1
 
1.8%
제74호 1
 
1.8%
유형-302 1
 
1.8%
유형-303 1
 
1.8%
유형-309 1
 
1.8%
유형-310 1
 
1.8%
유형-318 1
 
1.8%
유형-319 1
 
1.8%
유형-320 1
 
1.8%
Other values (45) 45
80.4%
2023-12-13T08:05:50.488770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 54
16.5%
형 45
13.7%
유 43
13.1%
2 38
11.6%
3 22
 
6.7%
1 19
 
5.8%
5 14
 
4.3%
0 13
 
4.0%
4 11
 
3.4%
6 11
 
3.4%
Other values (16) 58
17.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 154
47.0%
Other Letter 118
36.0%
Dash Punctuation 54
 
16.5%
Space Separator 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
형 45
38.1%
유 43
36.4%
념 6
 
5.1%
기 6
 
5.1%
호 2
 
1.7%
제 2
 
1.7%
문 2
 
1.7%
료 2
 
1.7%
자 2
 
1.7%
재 2
 
1.7%
Other values (4) 6
 
5.1%
Decimal Number
ValueCountFrequency (%)
2 38
24.7%
3 22
14.3%
1 19
12.3%
5 14
 
9.1%
0 13
 
8.4%
4 11
 
7.1%
6 11
 
7.1%
7 10
 
6.5%
9 8
 
5.2%
8 8
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 210
64.0%
Hangul 118
36.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
형 45
38.1%
유 43
36.4%
념 6
 
5.1%
기 6
 
5.1%
호 2
 
1.7%
제 2
 
1.7%
문 2
 
1.7%
료 2
 
1.7%
자 2
 
1.7%
재 2
 
1.7%
Other values (4) 6
 
5.1%
Common
ValueCountFrequency (%)
- 54
25.7%
2 38
18.1%
3 22
10.5%
1 19
 
9.0%
5 14
 
6.7%
0 13
 
6.2%
4 11
 
5.2%
6 11
 
5.2%
7 10
 
4.8%
9 8
 
3.8%
Other values (2) 10
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 210
64.0%
Hangul 118
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 54
25.7%
2 38
18.1%
3 22
10.5%
1 19
 
9.0%
5 14
 
6.7%
0 13
 
6.2%
4 11
 
5.2%
6 11
 
5.2%
7 10
 
4.8%
9 8
 
3.8%
Other values (2) 10
 
4.8%
Hangul
ValueCountFrequency (%)
형 45
38.1%
유 43
36.4%
념 6
 
5.1%
기 6
 
5.1%
호 2
 
1.7%
제 2
 
1.7%
문 2
 
1.7%
료 2
 
1.7%
자 2
 
1.7%
재 2
 
1.7%
Other values (4) 6
 
5.1%

명칭
Text

Distinct50
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-13T08:05:50.775307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length14
Mean length8.962963
Min length4

Characters and Unicode

Total characters484
Distinct characters154
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

Unique47 ?
Unique (%)87.0%

Sample

1st row우화교 기사비
2nd row탁오대 암각자
3rd row복도별업 암각자
4th row영춘향교
5th row단양향교
ValueCountFrequency (%)
묘법연화경 9
 
10.1%
구인사 4
 
4.5%
권4~7 3
 
3.4%
권6~7 3
 
3.4%
암각자 2
 
2.2%
유적 2
 
2.2%
원주이씨 2
 
2.2%
권1~3 2
 
2.2%
산신당 1
 
1.1%
주장자 1
 
1.1%
Other values (60) 60
67.4%
2023-12-13T08:05:51.264324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
 
7.4%
경 25
 
5.2%
화 15
 
3.1%
권 14
 
2.9%
법 14
 
2.9%
연 12
 
2.5%
묘 11
 
2.3%
사 11
 
2.3%
~ 9
 
1.9%
불 9
 
1.9%
Other values (144) 328
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 409
84.5%
Space Separator 36
 
7.4%
Decimal Number 25
 
5.2%
Math Symbol 9
 
1.9%
Close Punctuation 2
 
0.4%
Open Punctuation 2
 
0.4%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 25
 
6.1%
화 15
 
3.7%
권 14
 
3.4%
법 14
 
3.4%
연 12
 
2.9%
묘 11
 
2.7%
사 11
 
2.7%
불 9
 
2.2%
대 8
 
2.0%
구 7
 
1.7%
Other values (131) 283
69.2%
Decimal Number
ValueCountFrequency (%)
7 8
32.0%
1 5
20.0%
6 3
 
12.0%
4 3
 
12.0%
9 2
 
8.0%
3 2
 
8.0%
5 1
 
4.0%
2 1
 
4.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 409
84.5%
Common 75
 
15.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 25
 
6.1%
화 15
 
3.7%
권 14
 
3.4%
법 14
 
3.4%
연 12
 
2.9%
묘 11
 
2.7%
사 11
 
2.7%
불 9
 
2.2%
대 8
 
2.0%
구 7
 
1.7%
Other values (131) 283
69.2%
Common
ValueCountFrequency (%)
36
48.0%
~ 9
 
12.0%
7 8
 
10.7%
1 5
 
6.7%
6 3
 
4.0%
4 3
 
4.0%
9 2
 
2.7%
) 2
 
2.7%
3 2
 
2.7%
( 2
 
2.7%
Other values (3) 3
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 409
84.5%
ASCII 75
 
15.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
48.0%
~ 9
 
12.0%
7 8
 
10.7%
1 5
 
6.7%
6 3
 
4.0%
4 3
 
4.0%
9 2
 
2.7%
) 2
 
2.7%
3 2
 
2.7%
( 2
 
2.7%
Other values (3) 3
 
4.0%
Hangul
ValueCountFrequency (%)
경 25
 
6.1%
화 15
 
3.7%
권 14
 
3.4%
법 14
 
3.4%
연 12
 
2.9%
묘 11
 
2.7%
사 11
 
2.7%
불 9
 
2.2%
대 8
 
2.0%
구 7
 
1.7%
Other values (131) 283
69.2%

보호구역면적
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct10
Distinct (%)100.0%
Missing44
Missing (%)81.5%
Infinite0
Infinite (%)0.0%
Mean2864.0705
Minimum26.705
Maximum11589
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-13T08:05:51.414964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26.705
5-th percentile60.13775
Q1126.25
median1853.5
Q33319.75
95-th percentile9294.9
Maximum11589
Range11562.295
Interquartile range (IQR)3193.5

Descriptive statistics

Standard deviation3685.8711
Coefficient of variation (CV)1.2869345
Kurtosis2.9976194
Mean2864.0705
Median Absolute Deviation (MAD)1720
Skewness1.7342832
Sum28640.705
Variance13585646
MonotonicityNot monotonic
2023-12-13T08:05:51.548830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
119.0 1
 
1.9%
148.0 1
 
1.9%
1952.0 1
 
1.9%
1755.0 1
 
1.9%
26.705 1
 
1.9%
6491.0 1
 
1.9%
11589.0 1
 
1.9%
3049.0 1
 
1.9%
3410.0 1
 
1.9%
101.0 1
 
1.9%
(Missing) 44
81.5%
ValueCountFrequency (%)
26.705 1
1.9%
101.0 1
1.9%
119.0 1
1.9%
148.0 1
1.9%
1755.0 1
1.9%
1952.0 1
1.9%
3049.0 1
1.9%
3410.0 1
1.9%
6491.0 1
1.9%
11589.0 1
1.9%
ValueCountFrequency (%)
11589.0 1
1.9%
6491.0 1
1.9%
3410.0 1
1.9%
3049.0 1
1.9%
1952.0 1
1.9%
1755.0 1
1.9%
148.0 1
1.9%
119.0 1
1.9%
101.0 1
1.9%
26.705 1
1.9%

수량
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)48.1%
Missing0
Missing (%)0.0%
Memory size564.0 B
1권1책
12 
2권1책
5 
1기
5 
4권1책
4 
3권1책
3 
Other values (21)
25 

Length

Max length7
Median length6
Mean length4.6111111
Min length2

Unique

Unique17 ?
Unique (%)31.5%

Sample

1st row1기
2nd row1기
3rd row1기
4th row1곽6동
5th row1곽 7동

Common Values

ValueCountFrequency (%)
1권1책 12
22.2%
2권1책 5
 
9.3%
1기 5
 
9.3%
4권1책 4
 
7.4%
3권1책 3
 
5.6%
2
 
3.7%
<NA> 2
 
3.7%
1권1축 2
 
3.7%
1폭 2
 
3.7%
1책 1
 
1.9%
Other values (16) 16
29.6%

Length

2023-12-13T08:05:51.681989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1권1책 12
22.6%
1기 5
 
9.4%
2권1책 5
 
9.4%
4권1책 4
 
7.5%
3권1책 3
 
5.7%
na 2
 
3.8%
1권1축 2
 
3.8%
1폭 2
 
3.8%
1점 2
 
3.8%
2기 1
 
1.9%
Other values (15) 15
28.3%

소유자
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)31.5%
Missing0
Missing (%)0.0%
Memory size564.0 B
대한불교천태종
31 
단양군
5 
방곡사
4 
박영생
 
1
단양향교
 
1
Other values (12)
12 

Length

Max length15
Median length7
Mean length6.0555556
Min length2

Unique

Unique14 ?
Unique (%)25.9%

Sample

1st row단양군
2nd row단양군
3rd row단양군
4th row영춘향교
5th row단양향교

Common Values

ValueCountFrequency (%)
대한불교천태종 31
57.4%
단양군 5
 
9.3%
방곡사 4
 
7.4%
박영생 1
 
1.9%
단양향교 1
 
1.9%
대흥사 1
 
1.9%
청련암 1
 
1.9%
방 곡 사 1
 
1.9%
영춘향교 1
 
1.9%
변효근외1 1
 
1.9%
Other values (7) 7
 
13.0%

Length

2023-12-13T08:05:51.827329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대한불교천태종 31
50.0%
단양군 5
 
8.1%
방곡사 4
 
6.5%
조경례 1
 
1.6%
단양공파 1
 
1.6%
원주이씨 1
 
1.6%
장인환 1
 
1.6%
보존회 1
 
1.6%
놀이 1
 
1.6%
삼회향 1
 
1.6%
Other values (15) 15
24.2%

관리자
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size564.0 B
구인사
32 
단양군
8 
방곡사
5 
영춘향교
 
1
단양향교
 
1
Other values (7)
7 

Length

Max length9
Median length3
Mean length3.1481481
Min length2

Unique

Unique9 ?
Unique (%)16.7%

Sample

1st row단양군
2nd row단양군
3rd row단양군
4th row영춘향교
5th row단양향교

Common Values

ValueCountFrequency (%)
구인사 32
59.3%
단양군 8
 
14.8%
방곡사 5
 
9.3%
영춘향교 1
 
1.9%
단양향교 1
 
1.9%
대흥사 1
 
1.9%
청련암 1
 
1.9%
원주이씨단양종중회 1
 
1.9%
박영생 1
 
1.9%
주민 1
 
1.9%
Other values (2) 2
 
3.7%

Length

2023-12-13T08:05:51.988387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
구인사 32
59.3%
단양군 8
 
14.8%
방곡사 5
 
9.3%
영춘향교 1
 
1.9%
단양향교 1
 
1.9%
대흥사 1
 
1.9%
청련암 1
 
1.9%
원주이씨단양종중회 1
 
1.9%
박영생 1
 
1.9%
주민 1
 
1.9%
Other values (2) 2
 
3.7%

소재지
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)31.5%
Missing0
Missing (%)0.0%
Memory size564.0 B
충청북도 단양군 영춘면 백자길9(불교천태중앙박물관)
32 
충청북도 단양군 대강면 방곡리 131
4 
충청북도 단양군 단성면 하방리 산17
 
3
충청북도 단양군 대강면 방곡3길 31
 
2
충청북도 단양군 단양읍 천동리 산17-1
 
1
Other values (12)
12 

Length

Max length28
Median length28
Mean length24.925926
Min length16

Unique

Unique13 ?
Unique (%)24.1%

Sample

1st row충청북도 단양군 단성면 하방리 산17
2nd row충청북도 단양군 단성면 하방리 산17
3rd row충청북도 단양군 단성면 하방리 산17
4th row충청북도 단양군 영춘면 상리 461
5th row충청북도 단양군 단성면 상방리 137-1

Common Values

ValueCountFrequency (%)
충청북도 단양군 영춘면 백자길9(불교천태중앙박물관) 32
59.3%
충청북도 단양군 대강면 방곡리 131 4
 
7.4%
충청북도 단양군 단성면 하방리 산17 3
 
5.6%
충청북도 단양군 대강면 방곡3길 31 2
 
3.7%
충청북도 단양군 단양읍 천동리 산17-1 1
 
1.9%
충청북도 단양군 단성면 상방리 137-1 1
 
1.9%
충청북도 단양군 대강면 사인암리 산27 1
 
1.9%
충청북도 단양군 매포읍 평동리 1
 
1.9%
충청북도 단양군 영춘면 상리 461 1
 
1.9%
충청북도 단양군 단양읍 도담리 산4-18 1
 
1.9%
Other values (7) 7
 
13.0%

Length

2023-12-13T08:05:52.128878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충청북도 54
22.7%
단양군 53
22.3%
영춘면 35
14.7%
백자길9(불교천태중앙박물관 32
13.4%
대강면 8
 
3.4%
방곡리 4
 
1.7%
131 4
 
1.7%
단성면 4
 
1.7%
산17 3
 
1.3%
매포읍 3
 
1.3%
Other values (32) 38
16.0%

지정일
Date

Distinct21
Distinct (%)38.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum1976-12-21 00:00:00
Maximum2018-11-30 00:00:00
2023-12-13T08:05:52.279066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:05:52.431879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

분야
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size564.0 B
전적
32 
석조
9 
목조
 
3
유물
 
2
금
 
1
Other values (7)
7 

Length

Max length10
Median length2
Mean length2.4444444
Min length1

Unique

Unique8 ?
Unique (%)14.8%

Sample

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

Common Values

ValueCountFrequency (%)
전적 32
59.3%
석조 9
 
16.7%
목조 3
 
5.6%
유물 2
 
3.7%
금 1
 
1.9%
그림 1
 
1.9%
도자공예 1
 
1.9%
불교조각 1
 
1.9%
초상화 등 소지 1
 
1.9%
적석분 1
 
1.9%
Other values (2) 2
 
3.7%

Length

2023-12-13T08:05:52.561050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전적 32
57.1%
석조 9
 
16.1%
목조 3
 
5.4%
유물 2
 
3.6%
금 1
 
1.8%
그림 1
 
1.8%
도자공예 1
 
1.8%
불교조각 1
 
1.8%
초상화 1
 
1.8%
등 1
 
1.8%
Other values (4) 4
 
7.1%

종류
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)38.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
경전
26 
목판본
4 
동굴
4 
가옥
 
2
부도
 
2
Other values (16)
16 

Length

Max length4
Median length2
Mean length2.2777778
Min length2

Unique

Unique16 ?
Unique (%)29.6%

Sample

1st row비
2nd row부도
3rd row부도
4th row가옥
5th row가옥

Common Values

ValueCountFrequency (%)
경전 26
48.1%
목판본 4
 
7.4%
동굴 4
 
7.4%
가옥 2
 
3.7%
부도 2
 
3.7%
<NA> 1
 
1.9%
금동탑 1
 
1.9%
탱화 1
 
1.9%
자기 1
 
1.9%
복판본 1
 
1.9%
Other values (11) 11
20.4%

Length

2023-12-13T08:05:52.711855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경전 26
48.1%
동굴 4
 
7.4%
목판본 4
 
7.4%
가옥 2
 
3.7%
부도 2
 
3.7%
보살 1
 
1.9%
비 1
 
1.9%
목각탱 1
 
1.9%
불교의식 1
 
1.9%
벼루 1
 
1.9%
Other values (11) 11
20.4%

동산_부동산
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
동산
39 
부동산
15 

Length

Max length3
Median length2
Mean length2.2777778
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동산 39
72.2%
부동산 15
 
27.8%

Length

2023-12-13T08:05:52.879782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:05:53.013437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동산 39
72.2%
부동산 15
 
27.8%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum2022-04-29 00:00:00
Maximum2022-04-29 00:00:00
2023-12-13T08:05:53.106129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:05:53.212726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T08:05:49.083013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:05:48.934166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:05:49.163650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:05:49.007134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:05:53.303426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지정번호명칭보호구역면적수량소유자관리자소재지지정일분야종류동산_부동산
연번1.0001.0000.9860.2620.8460.5810.5530.6770.9250.5900.8470.988
지정번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
명칭0.9861.0001.0001.0001.0000.9780.9161.0001.0001.0000.9861.000
보호구역면적0.2621.0001.0001.0000.4840.8310.0001.0000.7510.5120.374NaN
수량0.8461.0001.0000.4841.0000.9700.9720.9750.9660.9470.9600.955
소유자0.5811.0000.9780.8310.9701.0001.0000.9970.9620.9170.9111.000
관리자0.5531.0000.9160.0000.9721.0001.0000.9880.9460.8970.9080.921
소재지0.6771.0001.0001.0000.9750.9970.9881.0000.9780.9070.9460.947
지정일0.9251.0001.0000.7510.9660.9620.9460.9781.0000.9610.9841.000
분야0.5901.0001.0000.5120.9470.9170.8970.9070.9611.0001.0001.000
종류0.8471.0000.9860.3740.9600.9110.9080.9460.9841.0001.0001.000
동산_부동산0.9881.0001.000NaN0.9551.0000.9210.9471.0001.0001.0001.000
2023-12-13T08:05:53.491186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종류분야소재지소유자수량동산_부동산관리자
종류1.0000.8860.6320.5320.6350.8040.567
분야0.8861.0000.5900.6130.5900.8990.637
소재지0.6320.5901.0000.8680.6890.7880.877
소유자0.5320.6130.8681.0000.6490.8440.939
수량0.6350.5900.6890.6491.0000.6760.683
동산_부동산0.8040.8990.7880.8440.6761.0000.853
관리자0.5670.6370.8770.9390.6830.8531.000
2023-12-13T08:05:53.624059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번보호구역면적수량소유자관리자소재지분야종류동산_부동산
연번1.0000.2850.3870.2350.2620.3030.2810.3810.830
보호구역면적0.2851.0000.0000.5400.0000.7070.3130.0001.000
수량0.3870.0001.0000.6490.6830.6890.5900.6350.676
소유자0.2350.5400.6491.0000.9390.8680.6130.5320.844
관리자0.2620.0000.6830.9391.0000.8770.6370.5670.853
소재지0.3030.7070.6890.8680.8771.0000.5900.6320.788
분야0.2810.3130.5900.6130.6370.5901.0000.8860.899
종류0.3810.0000.6350.5320.5670.6320.8861.0000.804
동산_부동산0.8301.0000.6760.8440.8530.7880.8990.8041.000

Missing values

2023-12-13T08:05:49.306734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:05:49.490811image/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

연번지정번호명칭보호구역면적수량소유자관리자소재지지정일분야종류동산_부동산데이터기준일자
01유형-80우화교 기사비119.01기단양군단양군충청북도 단양군 단성면 하방리 산171981-05-01석조비부동산2022-04-29
12유형-81탁오대 암각자148.01기단양군단양군충청북도 단양군 단성면 하방리 산171981-05-01석조부도부동산2022-04-29
23유형-82복도별업 암각자<NA>1기단양군단양군충청북도 단양군 단성면 하방리 산171981-05-01석조부도부동산2022-04-29
34유형-106영춘향교1952.01곽6동영춘향교영춘향교충청북도 단양군 영춘면 상리 4611981-12-26목조가옥부동산2022-04-29
45유형-107단양향교1755.01곽 7동단양향교단양향교충청북도 단양군 단성면 상방리 137-11981-12-26목조가옥부동산2022-04-29
56유형-209구인사 금동구층소탑<NA>1기대한불교천태종구인사충청북도 단양군 영춘면 백자길9(불교천태중앙박물관)2001-07-13금금동탑동산2022-04-29
67유형-210구인사 아미타회상도<NA>1폭대한불교천태종구인사충청북도 단양군 영춘면 백자길9(불교천태중앙박물관)2001-07-13그림탱화동산2022-04-29
78유형-211구인사 청자발우<NA>1점대한불교천태종구인사충청북도 단양군 영춘면 백자길9(불교천태중앙박물관)2001-07-13도자공예자기동산2022-04-29
89유형-246묘법연화경 권4~7<NA>4권1책대한불교천태종구인사충청북도 단양군 영춘면 백자길9(불교천태중앙박물관)2004-10-22전적목판본동산2022-04-29
910유형-246-3묘법연화경 권6~7<NA>2권1책방곡사방곡사충청북도 단양군 대강면 방곡리 1312009-09-11전적경전동산2022-04-29
연번지정번호명칭보호구역면적수량소유자관리자소재지지정일분야종류동산_부동산데이터기준일자
4445기념-102금굴 유적6491.0장인환단양군충청북도 단양군 단양읍 도담리 산4-181994-12-30석조동굴부동산2022-04-29
4546기념-103구낭굴 유적11589.0변효근외1단양군충청북도 단양군 가곡면 여천리 산321994-12-30석조동굴부동산2022-04-29
4647기념-127각기리 입석3049.02기단양군단양군충청북도 단양군 적성면 각기리 1852002-10-25석조비석부동산2022-04-29
4748기념-135사지원리 방단적석유구3410.01기단양군단양군충청북도 단양군 영춘면 사지원리 산142005-08-12적석분무덤부동산2022-04-29
4849기념-164영천동굴<NA>1원현대시멘트, 조경례단양군충청북도 단양군 매포읍 영천리 산1번지 외 2필지2017-05-12석조동굴부동산2022-04-29
4950민속-3죽령 산신당101.01동주민주민충청북도 단양군 대강면 용부원리 산49-91976-12-21목조산신당부동산2022-04-29
5051무형-18자석 벼루장<NA>1명신명식신명식충청북도 단양군 영춘면 하리 3072008-10-10무형유산(공예)벼루부동산2022-04-29
5152무형-25구인사 삼회향놀이<NA><NA>구인사 삼회향 놀이 보존회구인사충청북도 단양군 영춘면 백자길9(불교천태중앙박물관)2012-05-11무형유산(불교의식)불교의식부동산2022-04-29
5253문화재자료 제74호방곡사 칠성여래설법상<NA>1폭방곡사방곡사충청북도 단양군 대강면 방곡리 1312010-04-30유물목각탱동산2022-04-29
5354문화재자료 제93호단양 원주이씨 효열각<NA>3동원주이씨 단양공파 종중<NA>충청북도 매포읍 평동리 873-82018-11-30석조효열각부동산2022-04-29