Overview

Dataset statistics

Number of variables13
Number of observations37
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory112.5 B

Variable types

Numeric5
Text4
Categorical3
DateTime1

Dataset

Description경기도 광주시에 있는 관내 문화재 현황에 대한 데이터로 문화재관리번호, 문화재명, 소재지, 지정년도, 문화재시대, 문화재종별 등을 제공합니다.
Author경기도 광주시
URLhttps://www.data.go.kr/data/15036905/fileData.do

Alerts

보호구역 면적 is highly overall correlated with 문화재보전 지역 and 1 other fieldsHigh correlation
문화재보전 지역 is highly overall correlated with 보호구역 면적 and 2 other fieldsHigh correlation
경도 is highly overall correlated with 위도High correlation
위도 is highly overall correlated with 문화재보전 지역 and 1 other fieldsHigh correlation
문화재시대 is highly overall correlated with 보호구역 면적High correlation
문화재종류 is highly overall correlated with 문화재보전 지역High correlation
문화재시대 is highly imbalanced (77.4%)Imbalance
문화재관리번호 has unique valuesUnique
문화재명 has unique valuesUnique
보호구역 면적 has 9 (24.3%) zerosZeros
문화재보전 지역 has 13 (35.1%) zerosZeros

Reproduction

Analysis started2024-03-14 23:43:34.521328
Analysis finished2024-03-14 23:43:42.313670
Duration7.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

문화재관리번호
Real number (ℝ)

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19
Minimum1
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size461.0 B
2024-03-15T08:43:42.560954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.8
Q110
median19
Q328
95-th percentile35.2
Maximum37
Range36
Interquartile range (IQR)18

Descriptive statistics

Standard deviation10.824355
Coefficient of variation (CV)0.56970291
Kurtosis-1.2
Mean19
Median Absolute Deviation (MAD)9
Skewness0
Sum703
Variance117.16667
MonotonicityStrictly increasing
2024-03-15T08:43:42.936702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
1 1
 
2.7%
29 1
 
2.7%
22 1
 
2.7%
23 1
 
2.7%
24 1
 
2.7%
25 1
 
2.7%
26 1
 
2.7%
27 1
 
2.7%
28 1
 
2.7%
30 1
 
2.7%
Other values (27) 27
73.0%
ValueCountFrequency (%)
1 1
2.7%
2 1
2.7%
3 1
2.7%
4 1
2.7%
5 1
2.7%
6 1
2.7%
7 1
2.7%
8 1
2.7%
9 1
2.7%
10 1
2.7%
ValueCountFrequency (%)
37 1
2.7%
36 1
2.7%
35 1
2.7%
34 1
2.7%
33 1
2.7%
32 1
2.7%
31 1
2.7%
30 1
2.7%
29 1
2.7%
28 1
2.7%

문화재명
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size424.0 B
2024-03-15T08:43:43.719368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length7.2162162
Min length3

Characters and Unicode

Total characters267
Distinct characters121
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)100.0%

Sample

1st row백자청화모란문대발
2nd row분청사기상준
3rd row백자대병
4th row백자청화운룡문호
5th row수도사 목조보살좌상
ValueCountFrequency (%)
묘 5
 
8.1%
묘역 2
 
3.2%
우리절 2
 
3.2%
광주 2
 
3.2%
백자청화모란문대발 1
 
1.6%
및 1
 
1.6%
의안대군방석 1
 
1.6%
장경사(대웅전 1
 
1.6%
현절사 1
 
1.6%
개원사지 1
 
1.6%
Other values (45) 45
72.6%
2024-03-15T08:43:44.935303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25
 
9.4%
묘 9
 
3.4%
사 9
 
3.4%
석 6
 
2.2%
지 6
 
2.2%
선 6
 
2.2%
대 6
 
2.2%
생 6
 
2.2%
백 5
 
1.9%
수 5
 
1.9%
Other values (111) 184
68.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 231
86.5%
Space Separator 25
 
9.4%
Decimal Number 6
 
2.2%
Close Punctuation 2
 
0.7%
Open Punctuation 2
 
0.7%
Math Symbol 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
묘 9
 
3.9%
사 9
 
3.9%
석 6
 
2.6%
지 6
 
2.6%
선 6
 
2.6%
대 6
 
2.6%
생 6
 
2.6%
백 5
 
2.2%
수 5
 
2.2%
리 5
 
2.2%
Other values (103) 168
72.7%
Decimal Number
ValueCountFrequency (%)
5 2
33.3%
2 2
33.3%
7 1
16.7%
1 1
16.7%
Space Separator
ValueCountFrequency (%)
25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 231
86.5%
Common 36
 
13.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
묘 9
 
3.9%
사 9
 
3.9%
석 6
 
2.6%
지 6
 
2.6%
선 6
 
2.6%
대 6
 
2.6%
생 6
 
2.6%
백 5
 
2.2%
수 5
 
2.2%
리 5
 
2.2%
Other values (103) 168
72.7%
Common
ValueCountFrequency (%)
25
69.4%
) 2
 
5.6%
( 2
 
5.6%
5 2
 
5.6%
2 2
 
5.6%
~ 1
 
2.8%
7 1
 
2.8%
1 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 231
86.5%
ASCII 36
 
13.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25
69.4%
) 2
 
5.6%
( 2
 
5.6%
5 2
 
5.6%
2 2
 
5.6%
~ 1
 
2.8%
7 1
 
2.8%
1 1
 
2.8%
Hangul
ValueCountFrequency (%)
묘 9
 
3.9%
사 9
 
3.9%
석 6
 
2.6%
지 6
 
2.6%
선 6
 
2.6%
대 6
 
2.6%
생 6
 
2.6%
백 5
 
2.2%
수 5
 
2.2%
리 5
 
2.2%
Other values (103) 168
72.7%

소재지
Text

Distinct31
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Memory size424.0 B
2024-03-15T08:43:45.802180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length25
Mean length22.243243
Min length15

Characters and Unicode

Total characters823
Distinct characters64
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

Unique27 ?
Unique (%)73.0%

Sample

1st row경기도 광주시 곤지암읍 삼리 72-1
2nd row경기도 광주시 곤지암읍 삼리 72-1
3rd row경기도 광주시 곤지암읍 삼리 72-1
4th row경기도 광주시 곤지암읍 삼리 72-1
5th row경기도 광주시 도척면 방도리 633
ValueCountFrequency (%)
경기도 37
19.8%
광주시 37
19.8%
남한산성면 14
 
7.5%
산성리 13
 
7.0%
곤지암읍 8
 
4.3%
삼리 5
 
2.7%
도척면 5
 
2.7%
72-1 4
 
2.1%
초월읍 4
 
2.1%
지월리 3
 
1.6%
Other values (49) 57
30.5%
2024-03-15T08:43:46.883885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
156
19.0%
1 48
 
5.8%
도 44
 
5.3%
경 37
 
4.5%
광 37
 
4.5%
주 37
 
4.5%
시 37
 
4.5%
기 37
 
4.5%
산 36
 
4.4%
리 33
 
4.0%
Other values (54) 321
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 511
62.1%
Space Separator 156
 
19.0%
Decimal Number 129
 
15.7%
Dash Punctuation 27
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 44
 
8.6%
경 37
 
7.2%
광 37
 
7.2%
주 37
 
7.2%
시 37
 
7.2%
기 37
 
7.2%
산 36
 
7.0%
리 33
 
6.5%
성 27
 
5.3%
지 26
 
5.1%
Other values (42) 160
31.3%
Decimal Number
ValueCountFrequency (%)
1 48
37.2%
2 22
17.1%
7 13
 
10.1%
5 11
 
8.5%
8 8
 
6.2%
4 7
 
5.4%
3 6
 
4.7%
0 6
 
4.7%
6 4
 
3.1%
9 4
 
3.1%
Space Separator
ValueCountFrequency (%)
156
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 511
62.1%
Common 312
37.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 44
 
8.6%
경 37
 
7.2%
광 37
 
7.2%
주 37
 
7.2%
시 37
 
7.2%
기 37
 
7.2%
산 36
 
7.0%
리 33
 
6.5%
성 27
 
5.3%
지 26
 
5.1%
Other values (42) 160
31.3%
Common
ValueCountFrequency (%)
156
50.0%
1 48
 
15.4%
- 27
 
8.7%
2 22
 
7.1%
7 13
 
4.2%
5 11
 
3.5%
8 8
 
2.6%
4 7
 
2.2%
3 6
 
1.9%
0 6
 
1.9%
Other values (2) 8
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 511
62.1%
ASCII 312
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
156
50.0%
1 48
 
15.4%
- 27
 
8.7%
2 22
 
7.1%
7 13
 
4.2%
5 11
 
3.5%
8 8
 
2.6%
4 7
 
2.2%
3 6
 
1.9%
0 6
 
1.9%
Other values (2) 8
 
2.6%
Hangul
ValueCountFrequency (%)
도 44
 
8.6%
경 37
 
7.2%
광 37
 
7.2%
주 37
 
7.2%
시 37
 
7.2%
기 37
 
7.2%
산 36
 
7.0%
리 33
 
6.5%
성 27
 
5.3%
지 26
 
5.1%
Other values (42) 160
31.3%

문화재시대
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size424.0 B
조선시대
35 
구석기시대
 
1
고려시대
 
1

Length

Max length5
Median length4
Mean length4.027027
Min length4

Unique

Unique2 ?
Unique (%)5.4%

Sample

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

Common Values

ValueCountFrequency (%)
조선시대 35
94.6%
구석기시대 1
 
2.7%
고려시대 1
 
2.7%

Length

2024-03-15T08:43:47.122000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:43:47.399092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조선시대 35
94.6%
구석기시대 1
 
2.7%
고려시대 1
 
2.7%

문화재종별
Categorical

Distinct5
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size424.0 B
유형문화재
12 
기념물
12 
문화재자료
8 
사적
3 
보물
2 

Length

Max length5
Median length5
Mean length3.9459459
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row문화재자료
2nd row문화재자료
3rd row유형문화재
4th row유형문화재
5th row유형문화재

Common Values

ValueCountFrequency (%)
유형문화재 12
32.4%
기념물 12
32.4%
문화재자료 8
21.6%
사적 3
 
8.1%
보물 2
 
5.4%

Length

2024-03-15T08:43:47.612680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:43:47.840481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유형문화재 12
32.4%
기념물 12
32.4%
문화재자료 8
21.6%
사적 3
 
8.1%
보물 2
 
5.4%

문화재종류
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)29.7%
Missing0
Missing (%)0.0%
Memory size424.0 B
건축물
9 
분묘
8 
기타
7 
매장문화재
4 
석불
2 
Other values (6)
7 

Length

Max length5
Median length2
Mean length2.5675676
Min length2

Unique

Unique5 ?
Unique (%)13.5%

Sample

1st row기타
2nd row기타
3rd row기타
4th row기타
5th row불상

Common Values

ValueCountFrequency (%)
건축물 9
24.3%
분묘 8
21.6%
기타 7
18.9%
매장문화재 4
10.8%
석불 2
 
5.4%
승탑 2
 
5.4%
불상 1
 
2.7%
성곽 1
 
2.7%
석탑 1
 
2.7%
연못 1
 
2.7%

Length

2024-03-15T08:43:48.167444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
건축물 9
24.3%
분묘 8
21.6%
기타 7
18.9%
매장문화재 4
10.8%
석불 2
 
5.4%
승탑 2
 
5.4%
불상 1
 
2.7%
성곽 1
 
2.7%
석탑 1
 
2.7%
연못 1
 
2.7%

사이트명
Text

Distinct33
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Memory size424.0 B
2024-03-15T08:43:49.143527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length76
Mean length65.648649
Min length1

Characters and Unicode

Total characters2429
Distinct characters40
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)86.5%

Sample

1st row
2nd row
3rd row
4th row
5th rowhttps://www.gjcity.go.kr/tour/culturalProperty/view.do?idx=33&mId=0304020000
ValueCountFrequency (%)
https://www.gjcity.go.kr/tour/culturalproperty/view.do?idx=33&mid=0304020000 1
 
3.1%
https://www.gjcity.go.kr/tour/culturalproperty/view.do?idx=5&mid=0304010000 1
 
3.1%
https://www.gjcity.go.kr/tour/culturalproperty/view.do?idx=29&mid=0304020000 1
 
3.1%
https://www.gjcity.go.kr/tour/culturalproperty/view.do?idx=30&mid=0304020000 1
 
3.1%
https://www.gjcity.go.kr/tour/culturalproperty/view.do?idx=19&mid=0304020000 1
 
3.1%
https://www.gjcity.go.kr/tour/culturalproperty/view.do?idx=18&mid=0304020000 1
 
3.1%
https://www.gjcity.go.kr/tour/culturalproperty/view.do?idx=24&mid=0304020000 1
 
3.1%
https://www.gjcity.go.kr/tour/culturalproperty/view.do?idx=17&mid=0304020000 1
 
3.1%
https://www.gjcity.go.kr/tour/culturalproperty/view.do?idx=25&mid=0304020000 1
 
3.1%
https://www.gjcity.go.kr/tour/culturalproperty/view.do?idx=21&mid=0304020000 1
 
3.1%
Other values (22) 22
68.8%
2024-03-15T08:43:50.295102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 227
 
9.3%
t 192
 
7.9%
r 160
 
6.6%
/ 160
 
6.6%
o 128
 
5.3%
w 128
 
5.3%
. 128
 
5.3%
d 96
 
4.0%
i 96
 
4.0%
u 96
 
4.0%
Other values (30) 1018
41.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1536
63.2%
Other Punctuation 384
 
15.8%
Decimal Number 376
 
15.5%
Math Symbol 64
 
2.6%
Uppercase Letter 64
 
2.6%
Space Separator 5
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 192
12.5%
r 160
 
10.4%
o 128
 
8.3%
w 128
 
8.3%
d 96
 
6.2%
i 96
 
6.2%
u 96
 
6.2%
l 64
 
4.2%
g 64
 
4.2%
c 64
 
4.2%
Other values (11) 448
29.2%
Decimal Number
ValueCountFrequency (%)
0 227
60.4%
2 42
 
11.2%
3 40
 
10.6%
4 34
 
9.0%
1 18
 
4.8%
5 3
 
0.8%
7 3
 
0.8%
6 3
 
0.8%
8 3
 
0.8%
9 3
 
0.8%
Other Punctuation
ValueCountFrequency (%)
/ 160
41.7%
. 128
33.3%
? 32
 
8.3%
: 32
 
8.3%
& 32
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
I 32
50.0%
P 32
50.0%
Math Symbol
ValueCountFrequency (%)
= 64
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1600
65.9%
Common 829
34.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 192
 
12.0%
r 160
 
10.0%
o 128
 
8.0%
w 128
 
8.0%
d 96
 
6.0%
i 96
 
6.0%
u 96
 
6.0%
l 64
 
4.0%
g 64
 
4.0%
c 64
 
4.0%
Other values (13) 512
32.0%
Common
ValueCountFrequency (%)
0 227
27.4%
/ 160
19.3%
. 128
15.4%
= 64
 
7.7%
2 42
 
5.1%
3 40
 
4.8%
4 34
 
4.1%
? 32
 
3.9%
: 32
 
3.9%
& 32
 
3.9%
Other values (7) 38
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2429
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 227
 
9.3%
t 192
 
7.9%
r 160
 
6.6%
/ 160
 
6.6%
o 128
 
5.3%
w 128
 
5.3%
. 128
 
5.3%
d 96
 
4.0%
i 96
 
4.0%
u 96
 
4.0%
Other values (30) 1018
41.9%

상세정보
Text

Distinct34
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size424.0 B
2024-03-15T08:43:51.526553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length127
Median length26
Mean length22.459459
Min length9

Characters and Unicode

Total characters831
Distinct characters210
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

Unique32 ?
Unique (%)86.5%

Sample

1st row경기도자박물관 소장 백자
2nd row경기도자박물관 소장 분청사기
3rd row경기도자박물관 소장 백자
4th row경기도자박물관 소장 백자
5th row방도리 수도사에 있는 목조보살좌상
ValueCountFrequency (%)
남한산성내 9
 
4.3%
조선 7
 
3.3%
지낸 6
 
2.9%
있는 6
 
2.9%
소장 6
 
2.9%
묘 5
 
2.4%
전기 5
 
2.4%
경기도자박물관 4
 
1.9%
관리를 4
 
1.9%
사당 3
 
1.4%
Other values (133) 155
73.8%
2024-03-15T08:43:53.339141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
173
 
20.8%
기 18
 
2.2%
조 18
 
2.2%
한 17
 
2.0%
선 17
 
2.0%
사 16
 
1.9%
자 13
 
1.6%
관 13
 
1.6%
장 12
 
1.4%
성 12
 
1.4%
Other values (200) 522
62.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 625
75.2%
Space Separator 173
 
20.8%
Decimal Number 23
 
2.8%
Open Punctuation 3
 
0.4%
Close Punctuation 3
 
0.4%
Other Punctuation 3
 
0.4%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 18
 
2.9%
조 18
 
2.9%
한 17
 
2.7%
선 17
 
2.7%
사 16
 
2.6%
자 13
 
2.1%
관 13
 
2.1%
장 12
 
1.9%
성 12
 
1.9%
리 12
 
1.9%
Other values (185) 477
76.3%
Decimal Number
ValueCountFrequency (%)
2 5
21.7%
1 4
17.4%
6 3
13.0%
5 3
13.0%
4 2
 
8.7%
8 2
 
8.7%
9 2
 
8.7%
0 1
 
4.3%
3 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
173
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 625
75.2%
Common 206
 
24.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 18
 
2.9%
조 18
 
2.9%
한 17
 
2.7%
선 17
 
2.7%
사 16
 
2.6%
자 13
 
2.1%
관 13
 
2.1%
장 12
 
1.9%
성 12
 
1.9%
리 12
 
1.9%
Other values (185) 477
76.3%
Common
ValueCountFrequency (%)
173
84.0%
2 5
 
2.4%
1 4
 
1.9%
6 3
 
1.5%
( 3
 
1.5%
) 3
 
1.5%
5 3
 
1.5%
. 2
 
1.0%
4 2
 
1.0%
8 2
 
1.0%
Other values (5) 6
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 625
75.2%
ASCII 206
 
24.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
173
84.0%
2 5
 
2.4%
1 4
 
1.9%
6 3
 
1.5%
( 3
 
1.5%
) 3
 
1.5%
5 3
 
1.5%
. 2
 
1.0%
4 2
 
1.0%
8 2
 
1.0%
Other values (5) 6
 
2.9%
Hangul
ValueCountFrequency (%)
기 18
 
2.9%
조 18
 
2.9%
한 17
 
2.7%
선 17
 
2.7%
사 16
 
2.6%
자 13
 
2.1%
관 13
 
2.1%
장 12
 
1.9%
성 12
 
1.9%
리 12
 
1.9%
Other values (185) 477
76.3%

지정년도
Date

Distinct24
Distinct (%)64.9%
Missing0
Missing (%)0.0%
Memory size424.0 B
Minimum1963-01-21 00:00:00
Maximum2019-08-23 00:00:00
2024-03-15T08:43:53.728961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:43:54.161459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

보호구역 면적
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct27
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22937.162
Minimum0
Maximum407660
Zeros9
Zeros (%)24.3%
Negative0
Negative (%)0.0%
Memory size461.0 B
2024-03-15T08:43:54.633186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median238
Q3959
95-th percentile152205.2
Maximum407660
Range407660
Interquartile range (IQR)957

Descriptive statistics

Standard deviation75663.769
Coefficient of variation (CV)3.2987415
Kurtosis19.435888
Mean22937.162
Median Absolute Deviation (MAD)238
Skewness4.2111036
Sum848675
Variance5.7250059 × 109
MonotonicityNot monotonic
2024-03-15T08:43:55.087146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 9
24.3%
2 3
 
8.1%
1191 1
 
2.7%
34 1
 
2.7%
101 1
 
2.7%
295 1
 
2.7%
517 1
 
2.7%
959 1
 
2.7%
559 1
 
2.7%
570 1
 
2.7%
Other values (17) 17
45.9%
ValueCountFrequency (%)
0 9
24.3%
2 3
 
8.1%
34 1
 
2.7%
95 1
 
2.7%
101 1
 
2.7%
191 1
 
2.7%
217 1
 
2.7%
218 1
 
2.7%
238 1
 
2.7%
245 1
 
2.7%
ValueCountFrequency (%)
407660 1
2.7%
172614 1
2.7%
147103 1
2.7%
87548 1
2.7%
11620 1
2.7%
11573 1
2.7%
1961 1
2.7%
1737 1
2.7%
1191 1
2.7%
959 1
2.7%

문화재보전 지역
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct25
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16039.432
Minimum0
Maximum422359
Zeros13
Zeros (%)35.1%
Negative0
Negative (%)0.0%
Memory size461.0 B
2024-03-15T08:43:55.565077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3174
Q36315
95-th percentile29303.8
Maximum422359
Range422359
Interquartile range (IQR)6315

Descriptive statistics

Standard deviation69024.482
Coefficient of variation (CV)4.3034242
Kurtosis36.143653
Mean16039.432
Median Absolute Deviation (MAD)3174
Skewness5.9828251
Sum593459
Variance4.7643791 × 109
MonotonicityNot monotonic
2024-03-15T08:43:56.069784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 13
35.1%
422359 1
 
2.7%
631 1
 
2.7%
2208 1
 
2.7%
222 1
 
2.7%
8518 1
 
2.7%
7820 1
 
2.7%
1177 1
 
2.7%
3174 1
 
2.7%
28527 1
 
2.7%
Other values (15) 15
40.5%
ValueCountFrequency (%)
0 13
35.1%
222 1
 
2.7%
631 1
 
2.7%
1177 1
 
2.7%
2208 1
 
2.7%
2951 1
 
2.7%
3174 1
 
2.7%
3538 1
 
2.7%
3903 1
 
2.7%
3913 1
 
2.7%
ValueCountFrequency (%)
422359 1
2.7%
32411 1
2.7%
28527 1
2.7%
13397 1
2.7%
9821 1
2.7%
8518 1
2.7%
7820 1
2.7%
7528 1
2.7%
7414 1
2.7%
6315 1
2.7%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct31
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.25424
Minimum127.14111
Maximum127.3826
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size461.0 B
2024-03-15T08:43:56.454906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.14111
5-th percentile127.17196
Q1127.18648
median127.27294
Q3127.32758
95-th percentile127.34106
Maximum127.3826
Range0.24149079
Interquartile range (IQR)0.14110405

Descriptive statistics

Standard deviation0.06990389
Coefficient of variation (CV)0.00054932464
Kurtosis-1.5646122
Mean127.25424
Median Absolute Deviation (MAD)0.067227418
Skewness0.023445173
Sum4708.4069
Variance0.0048865538
MonotonicityNot monotonic
2024-03-15T08:43:56.910330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
127.327580339 4
 
10.8%
127.197820796 2
 
5.4%
127.196209112 2
 
5.4%
127.290238225 2
 
5.4%
127.331730803 1
 
2.7%
127.294920204 1
 
2.7%
127.338707779 1
 
2.7%
127.344628679 1
 
2.7%
127.190646723 1
 
2.7%
127.295449553 1
 
2.7%
Other values (21) 21
56.8%
ValueCountFrequency (%)
127.141106145 1
2.7%
127.154917629 1
2.7%
127.176224891 1
2.7%
127.176524851 1
2.7%
127.176562581 1
2.7%
127.181508447 1
2.7%
127.181676852 1
2.7%
127.183457355 1
2.7%
127.183851585 1
2.7%
127.186476289 1
2.7%
ValueCountFrequency (%)
127.382596936 1
 
2.7%
127.344628679 1
 
2.7%
127.340171905 1
 
2.7%
127.338707779 1
 
2.7%
127.333114642 1
 
2.7%
127.331730803 1
 
2.7%
127.327580339 4
10.8%
127.309734208 1
 
2.7%
127.306717704 1
 
2.7%
127.295449553 1
 
2.7%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct31
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.407768
Minimum37.281466
Maximum37.481076
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size461.0 B
2024-03-15T08:43:57.314393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.281466
5-th percentile37.293036
Q137.351016
median37.414326
Q337.478266
95-th percentile37.47999
Maximum37.481076
Range0.19961038
Interquartile range (IQR)0.12725065

Descriptive statistics

Standard deviation0.069518688
Coefficient of variation (CV)0.0018584025
Kurtosis-1.4751975
Mean37.407768
Median Absolute Deviation (MAD)0.063591254
Skewness-0.29442038
Sum1384.0874
Variance0.0048328479
MonotonicityNot monotonic
2024-03-15T08:43:57.816109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
37.351015782 4
 
10.8%
37.47532451 2
 
5.4%
37.478289704 2
 
5.4%
37.312123272 2
 
5.4%
37.293768842 1
 
2.7%
37.290104273 1
 
2.7%
37.349554579 1
 
2.7%
37.358808632 1
 
2.7%
37.47778227 1
 
2.7%
37.42718308 1
 
2.7%
Other values (21) 21
56.8%
ValueCountFrequency (%)
37.281466 1
 
2.7%
37.290104273 1
 
2.7%
37.293768842 1
 
2.7%
37.312123272 2
5.4%
37.342813393 1
 
2.7%
37.347006821 1
 
2.7%
37.349554579 1
 
2.7%
37.350734798 1
 
2.7%
37.351015782 4
10.8%
37.352641537 1
 
2.7%
ValueCountFrequency (%)
37.481076376 1
2.7%
37.480656691 1
2.7%
37.479823903 1
2.7%
37.47973401 1
2.7%
37.478818096 1
2.7%
37.478761755 1
2.7%
37.478666585 1
2.7%
37.478289704 2
5.4%
37.478266427 1
2.7%
37.47778227 1
2.7%

Interactions

2024-03-15T08:43:40.197115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:43:35.925241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:43:36.953442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:43:37.951838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:43:39.108024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:43:40.470511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:43:36.151029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:43:37.195297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:43:38.210019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:43:39.362940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:43:40.749766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:43:36.321263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:43:37.366393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:43:38.473411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:43:39.625008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:43:41.141822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:43:36.463398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:43:37.509567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:43:38.706990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:43:39.848580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:43:41.336963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:43:36.672006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:43:37.672557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:43:38.854941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:43:39.985808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T08:43:58.133024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
문화재관리번호문화재명소재지문화재시대문화재종별문화재종류사이트명상세정보지정년도보호구역 면적문화재보전 지역경도위도
문화재관리번호1.0001.0000.9760.3070.8320.6870.9700.9800.9450.5980.4010.7490.681
문화재명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지0.9761.0001.0001.0000.9360.9510.9940.9920.9831.0001.0001.0001.000
문화재시대0.3071.0001.0001.0000.0000.5081.0001.0001.0000.6860.0000.0000.125
문화재종별0.8321.0000.9360.0001.0000.7090.9200.9590.8350.7950.3950.0000.000
문화재종류0.6871.0000.9510.5080.7091.0001.0001.0000.9660.6211.0000.4610.671
사이트명0.9701.0000.9941.0000.9201.0001.0000.9970.9941.0001.0000.9720.930
상세정보0.9801.0000.9921.0000.9591.0000.9971.0001.0001.0001.0001.0001.000
지정년도0.9451.0000.9831.0000.8350.9660.9941.0001.0001.0001.0000.9800.999
보호구역 면적0.5981.0001.0000.6860.7950.6211.0001.0001.0001.0001.0000.0000.000
문화재보전 지역0.4011.0001.0000.0000.3951.0001.0001.0001.0001.0001.0000.0000.000
경도0.7491.0001.0000.0000.0000.4610.9721.0000.9800.0000.0001.0000.710
위도0.6811.0001.0000.1250.0000.6710.9301.0000.9990.0000.0000.7101.000
2024-03-15T08:43:58.533646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
문화재종류문화재종별문화재시대
문화재종류1.0000.4340.290
문화재종별0.4341.0000.000
문화재시대0.2900.0001.000
2024-03-15T08:43:59.015961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
문화재관리번호보호구역 면적문화재보전 지역경도위도문화재시대문화재종별문화재종류
문화재관리번호1.0000.2850.452-0.0500.0730.1510.4250.363
보호구역 면적0.2851.0000.608-0.2720.4580.6430.4150.353
문화재보전 지역0.4520.6081.000-0.4590.6390.0000.4580.862
경도-0.050-0.272-0.4591.000-0.5450.0000.0000.199
위도0.0730.4580.639-0.5451.0000.0000.0000.365
문화재시대0.1510.6430.0000.0000.0001.0000.0000.290
문화재종별0.4250.4150.4580.0000.0000.0001.0000.434
문화재종류0.3630.3530.8620.1990.3650.2900.4341.000

Missing values

2024-03-15T08:43:41.579082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T08:43:42.089079image/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

문화재관리번호문화재명소재지문화재시대문화재종별문화재종류사이트명상세정보지정년도보호구역 면적문화재보전 지역경도위도
01백자청화모란문대발경기도 광주시 곤지암읍 삼리 72-1조선시대문화재자료기타경기도자박물관 소장 백자2019-08-2300127.3275837.351016
12분청사기상준경기도 광주시 곤지암읍 삼리 72-1조선시대문화재자료기타경기도자박물관 소장 분청사기2019-08-2300127.3275837.351016
23백자대병경기도 광주시 곤지암읍 삼리 72-1조선시대유형문화재기타경기도자박물관 소장 백자2019-08-2300127.3275837.351016
34백자청화운룡문호경기도 광주시 곤지암읍 삼리 72-1조선시대유형문화재기타경기도자박물관 소장 백자2019-08-2300127.3275837.351016
45수도사 목조보살좌상경기도 광주시 도척면 방도리 633조선시대유형문화재불상https://www.gjcity.go.kr/tour/culturalProperty/view.do?idx=33&mId=0304020000방도리 수도사에 있는 목조보살좌상2016-07-1900127.30973437.281466
56묘법연화경(권5~7)경기도 광주시 초월읍 지월리 711-18조선시대문화재자료기타https://www.gjcity.go.kr/tour/culturalProperty/view.do?idx=5&mId=0304010000대법사 소장 불교 경전2018-04-3000127.28385737.414326
67강희 21년명 장경사 동종경기도 광주시 남한산성면 산성리 22-1조선시대유형문화재기타https://www.gjcity.go.kr/tour/culturalProperty/view.do?idx=15&mId=0304020000남한산성내 장경사에 있는 조선시대에 제작한 동종2014-05-0900127.19782137.475325
78광주 극락사 석조지장보살좌상경기도 광주시 양벌동 825조선시대유형문화재석불https://www.gjcity.go.kr/tour/culturalProperty/view.do?idx=14&mId=0304020000양벌리 극락사에 있는 석조불상2006-06-1900127.2721237.372344
89광주 삼리 구석기 유적경기도 광주시 곤지암읍 삼리 11 외4구석기시대기념물매장문화재https://www.gjcity.go.kr/tour/culturalProperty/view.do?idx=27&mId=0304020000경기남부에서 대규모로 확인된 구석기 시대 유적2003-04-161471030127.33311537.350735
910광주조선백자도요지경기도 광주시 곤지암읍 곤지암리 471-1번지 포함 216필지조선시대사적매장문화재https://www.gjcity.go.kr/tour/culturalProperty/view.do?idx=2&mId=0304010000조선왕조에 관용 도자용기를 제작한 조선시대 관요군1985-11-074076600127.34017237.342813
문화재관리번호문화재명소재지문화재시대문화재종별문화재종류사이트명상세정보지정년도보호구역 면적문화재보전 지역경도위도
2728김균선생 묘경기도 광주시 오포읍 능평동 산89-1번지조선시대기념물분묘https://www.gjcity.go.kr/tour/culturalProperty/view.do?idx=21&mId=0304020000조선 전기 관리를 지낸 김균선생의 묘1988-03-212383913127.15491837.352642
2829신흠묘역 및 신도비경기도 광주시 퇴촌면 영동리 산12-1번지조선시대기념물분묘https://www.gjcity.go.kr/tour/culturalProperty/view.do?idx=25&mId=0304020000조선 전기 관직을 지낸 신흠 선생 및 신도비1994-04-2057028527127.38259737.478762
2930최항선생 묘경기도 광주시 퇴촌면 도마리 산11-1번지조선시대기념물분묘https://www.gjcity.go.kr/tour/culturalProperty/view.do?idx=17&mId=0304020000조선 전기 관리를 지낸 최항선생묘1976-08-295593174127.27294437.461278
3031신익희선생 생가경기도 광주시 초월읍 서하리 160-1번지조선시대기념물건축물https://www.gjcity.go.kr/tour/culturalProperty/view.do?idx=24&mId=0304020000정치가이며 독립운동가인 해공 신익희(1894~1956)선생의 생가이다. 가옥은 안채와 바깥채로 구성되어 있는데, 고종 2년(1865) 대홍수로 집이 파손되어 옮긴 건물은 젠체적으로 20세기 초에 크게 고쳐 지은 것으로 짐작한다.1992-12-319591177127.30671837.432558
3132허난설헌 묘경기도 광주시 초월읍 지월리 산29-5번지조선시대기념물분묘https://www.gjcity.go.kr/tour/culturalProperty/view.do?idx=18&mId=0304020000조선 중기 여류시인 허난설헌의 묘1986-05-075177820127.2954537.427183
3233신립장군 묘역경기도 광주시 곤지암읍 신대리 산15-1번지조선시대기념물분묘https://www.gjcity.go.kr/tour/culturalProperty/view.do?idx=19&mId=0304020000임진왜란 당시 장군을 지낸 신립장군의 묘1986-05-072958518127.34462937.358809
3334곤지암경기도 광주시 곤지암읍 곤지암리 453-20조선시대문화재자료바위https://www.gjcity.go.kr/tour/culturalProperty/view.do?idx=30&mId=0304020000곤지암 시대 한복판에 있는 둘로 쪼개진 바위로 곤지암읍 명칭의 연원이 됨1985-06-28101222127.33870837.349555
3435추곡리 백련암부도경기도 광주시 도척면 추곡리 산25-1고려시대문화재자료승탑https://www.gjcity.go.kr/tour/culturalProperty/view.do?idx=29&mId=0304020000추곡리 백련암에 있는 승탑1984-09-1222208127.2949237.290104
3536유정리 석불 좌상경기도 광주시 도척면 유정리 222-7조선시대유형문화재석불https://www.gjcity.go.kr/tour/culturalProperty/view.do?idx=13&mId=0304020000유정리 마을초입에 있는 미륵부처1979-09-0334631127.33173137.293769
3637대불정여래밀인수증요의제보살만경기도 광주시 초월읍 지월리 711-18조선시대문화재자료기타대법사 소장 불교 경전2018-04-3000127.28378437.414299