Overview

Dataset statistics

Number of variables8
Number of observations167
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.1 KiB
Average record size in memory67.8 B

Variable types

Numeric3
Categorical2
DateTime1
Text2

Dataset

Description충청남도 공주시 문화재 정보에 대한 데이터로 컬럼은 문화재번호, 재정일자, 문화재명, 주소, 위도, 경도, 데이터기준일 이 포함되어 있음
Author충청남도 공주시
URLhttps://www.data.go.kr/data/15124566/fileData.do

Alerts

데이터기준일 has constant value ""Constant
문화재순번 is highly overall correlated with 문화재번호High correlation
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
문화재번호 is highly overall correlated with 문화재순번High correlation
문화재순번 has unique valuesUnique
문화재명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:53:06.214460
Analysis finished2023-12-12 14:53:08.602404
Duration2.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

문화재순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct167
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84
Minimum1
Maximum167
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T23:53:08.692556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.3
Q142.5
median84
Q3125.5
95-th percentile158.7
Maximum167
Range166
Interquartile range (IQR)83

Descriptive statistics

Standard deviation48.35287
Coefficient of variation (CV)0.5756294
Kurtosis-1.2
Mean84
Median Absolute Deviation (MAD)42
Skewness0
Sum14028
Variance2338
MonotonicityStrictly increasing
2023-12-12T23:53:08.884908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
116 1
 
0.6%
108 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
Other values (157) 157
94.0%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
167 1
0.6%
166 1
0.6%
165 1
0.6%
164 1
0.6%
163 1
0.6%
162 1
0.6%
161 1
0.6%
160 1
0.6%
159 1
0.6%
158 1
0.6%

문화재번호
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
충청남도 유형문화재
47 
충청남도 문화재자료
32 
국가지정문화재 보물
25 
충청남도 기념물
22 
국가지정문화재 국보
16 
Other values (6)
25 

Length

Max length10
Median length10
Mean length9.6287425
Min length7

Unique

Unique2 ?
Unique (%)1.2%

Sample

1st row국가지정문화재 국보
2nd row국가지정문화재 국보
3rd row국가지정문화재 국보
4th row국가지정문화재 국보
5th row국가지정문화재 국보

Common Values

ValueCountFrequency (%)
충청남도 유형문화재 47
28.1%
충청남도 문화재자료 32
19.2%
국가지정문화재 보물 25
15.0%
충청남도 기념물 22
13.2%
국가지정문화재 국보 16
 
9.6%
국가지정문화재 사적 8
 
4.8%
충청남도 무형문화재 8
 
4.8%
국가등록문화재 5
 
3.0%
충청남도 민속문화재 2
 
1.2%
국가지정문화재 명승 1
 
0.6%

Length

2023-12-12T23:53:09.050822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충청남도 111
33.8%
국가지정문화재 50
15.2%
유형문화재 47
14.3%
문화재자료 32
 
9.8%
보물 25
 
7.6%
기념물 22
 
6.7%
국보 16
 
4.9%
사적 8
 
2.4%
무형문화재 8
 
2.4%
국가등록문화재 5
 
1.5%
Other values (3) 4
 
1.2%

재정일자
Date

Distinct78
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum1962-12-20 00:00:00
Maximum2023-08-30 00:00:00
2023-12-12T23:53:09.209486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:53:09.375034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

문화재명
Text

UNIQUE 

Distinct167
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T23:53:09.628371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length9.0718563
Min length3

Characters and Unicode

Total characters1515
Distinct characters219
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique167 ?
Unique (%)100.0%

Sample

1st row계유명삼존천불비상
2nd row무령왕 금제 관식
3rd row무령왕비 금제 관식
4th row무령왕 금귀걸이
5th row무령왕비 금귀걸이
ValueCountFrequency (%)
공주 55
 
16.5%
갑사 12
 
3.6%
마곡사 10
 
3.0%
무령왕비 5
 
1.5%
및 5
 
1.5%
복장유물 5
 
1.5%
무령왕 4
 
1.2%
일괄 4
 
1.2%
무령왕릉 3
 
0.9%
금제 3
 
0.9%
Other values (202) 227
68.2%
2023-12-12T23:53:10.051467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
166
 
11.0%
공 93
 
6.1%
주 91
 
6.0%
사 85
 
5.6%
석 27
 
1.8%
지 27
 
1.8%
상 26
 
1.7%
유 24
 
1.6%
갑 21
 
1.4%
동 20
 
1.3%
Other values (209) 935
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1341
88.5%
Space Separator 166
 
11.0%
Decimal Number 4
 
0.3%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 93
 
6.9%
주 91
 
6.8%
사 85
 
6.3%
석 27
 
2.0%
지 27
 
2.0%
상 26
 
1.9%
유 24
 
1.8%
갑 21
 
1.6%
동 20
 
1.5%
전 20
 
1.5%
Other values (202) 907
67.6%
Decimal Number
ValueCountFrequency (%)
2 1
25.0%
4 1
25.0%
6 1
25.0%
1 1
25.0%
Space Separator
ValueCountFrequency (%)
166
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1341
88.5%
Common 174
 
11.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 93
 
6.9%
주 91
 
6.8%
사 85
 
6.3%
석 27
 
2.0%
지 27
 
2.0%
상 26
 
1.9%
유 24
 
1.8%
갑 21
 
1.6%
동 20
 
1.5%
전 20
 
1.5%
Other values (202) 907
67.6%
Common
ValueCountFrequency (%)
166
95.4%
( 2
 
1.1%
) 2
 
1.1%
2 1
 
0.6%
4 1
 
0.6%
6 1
 
0.6%
1 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1339
88.4%
ASCII 174
 
11.5%
Compat Jamo 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
166
95.4%
( 2
 
1.1%
) 2
 
1.1%
2 1
 
0.6%
4 1
 
0.6%
6 1
 
0.6%
1 1
 
0.6%
Hangul
ValueCountFrequency (%)
공 93
 
6.9%
주 91
 
6.8%
사 85
 
6.3%
석 27
 
2.0%
지 27
 
2.0%
상 26
 
1.9%
유 24
 
1.8%
갑 21
 
1.6%
동 20
 
1.5%
전 20
 
1.5%
Other values (201) 905
67.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%

주소
Text

Distinct91
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T23:53:10.440663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length18.359281
Min length12

Characters and Unicode

Total characters3066
Distinct characters91
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)44.9%

Sample

1st row충청남도 공주시 웅진동 360
2nd row충청남도 공주시 웅진동 360
3rd row서울특별시 용산구 용산동 6가168-6
4th row충청남도 공주시 웅진동 360
5th row충청남도 공주시 웅진동 360
ValueCountFrequency (%)
충청남도 164
21.9%
공주시 164
21.9%
계룡면 34
 
4.5%
중장리 23
 
3.1%
웅진동 21
 
2.8%
사곡면 20
 
2.7%
운암리 20
 
2.7%
반포면 19
 
2.5%
360 16
 
2.1%
567 13
 
1.7%
Other values (130) 256
34.1%
2023-12-12T23:53:11.016959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
583
19.0%
공 167
 
5.4%
시 167
 
5.4%
주 165
 
5.4%
청 165
 
5.4%
충 164
 
5.3%
남 164
 
5.3%
도 164
 
5.3%
리 92
 
3.0%
면 90
 
2.9%
Other values (81) 1145
37.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1951
63.6%
Space Separator 583
 
19.0%
Decimal Number 465
 
15.2%
Dash Punctuation 66
 
2.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 167
 
8.6%
시 167
 
8.6%
주 165
 
8.5%
청 165
 
8.5%
충 164
 
8.4%
남 164
 
8.4%
도 164
 
8.4%
리 92
 
4.7%
면 90
 
4.6%
동 77
 
3.9%
Other values (68) 536
27.5%
Decimal Number
ValueCountFrequency (%)
1 71
15.3%
3 63
13.5%
6 60
12.9%
5 59
12.7%
2 57
12.3%
8 37
8.0%
4 34
7.3%
7 31
6.7%
0 29
6.2%
9 24
 
5.2%
Space Separator
ValueCountFrequency (%)
583
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%
Other Punctuation
ValueCountFrequency (%)
* 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1951
63.6%
Common 1115
36.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 167
 
8.6%
시 167
 
8.6%
주 165
 
8.5%
청 165
 
8.5%
충 164
 
8.4%
남 164
 
8.4%
도 164
 
8.4%
리 92
 
4.7%
면 90
 
4.6%
동 77
 
3.9%
Other values (68) 536
27.5%
Common
ValueCountFrequency (%)
583
52.3%
1 71
 
6.4%
- 66
 
5.9%
3 63
 
5.7%
6 60
 
5.4%
5 59
 
5.3%
2 57
 
5.1%
8 37
 
3.3%
4 34
 
3.0%
7 31
 
2.8%
Other values (3) 54
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1951
63.6%
ASCII 1115
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
583
52.3%
1 71
 
6.4%
- 66
 
5.9%
3 63
 
5.7%
6 60
 
5.4%
5 59
 
5.3%
2 57
 
5.1%
8 37
 
3.3%
4 34
 
3.0%
7 31
 
2.8%
Other values (3) 54
 
4.8%
Hangul
ValueCountFrequency (%)
공 167
 
8.6%
시 167
 
8.6%
주 165
 
8.5%
청 165
 
8.5%
충 164
 
8.4%
남 164
 
8.4%
도 164
 
8.4%
리 92
 
4.7%
면 90
 
4.6%
동 77
 
3.9%
Other values (68) 536
27.5%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct91
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.460413
Minimum36.313182
Maximum37.531141
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T23:53:11.206764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.313182
5-th percentile36.342072
Q136.365659
median36.453613
Q336.466003
95-th percentile36.559078
Maximum37.531141
Range1.217959
Interquartile range (IQR)0.1003435

Descriptive statistics

Standard deviation0.1611111
Coefficient of variation (CV)0.0044187954
Kurtosis33.595087
Mean36.460413
Median Absolute Deviation (MAD)0.049774
Skewness5.3306952
Sum6088.889
Variance0.025956788
MonotonicityNot monotonic
2023-12-12T23:53:11.352029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.466003 16
 
9.6%
36.365259 13
 
7.8%
36.559078 13
 
7.8%
36.453613 8
 
4.8%
36.353199 6
 
3.6%
36.557866 6
 
3.6%
36.335115 5
 
3.0%
36.460414 5
 
3.0%
36.442782 4
 
2.4%
37.531141 3
 
1.8%
Other values (81) 88
52.7%
ValueCountFrequency (%)
36.313182 1
 
0.6%
36.328915 1
 
0.6%
36.335115 5
3.0%
36.335462 1
 
0.6%
36.337303 1
 
0.6%
36.353199 6
3.6%
36.355202 3
1.8%
36.356433 1
 
0.6%
36.356468 1
 
0.6%
36.358269 1
 
0.6%
ValueCountFrequency (%)
37.531141 3
 
1.8%
36.630657 1
 
0.6%
36.624014 1
 
0.6%
36.615774 1
 
0.6%
36.56006 1
 
0.6%
36.559078 13
7.8%
36.557866 6
3.6%
36.531263 1
 
0.6%
36.528717 1
 
0.6%
36.518595 1
 
0.6%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct91
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.12528
Minimum126.96305
Maximum127.25234
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T23:53:11.494624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.96305
5-th percentile127.01196
Q1127.11089
median127.12708
Q3127.18504
95-th percentile127.22014
Maximum127.25234
Range0.289294
Interquartile range (IQR)0.074153

Descriptive statistics

Standard deviation0.069263959
Coefficient of variation (CV)0.00054484804
Kurtosis-0.35956103
Mean127.12528
Median Absolute Deviation (MAD)0.05303
Skewness-0.47092128
Sum21229.921
Variance0.004797496
MonotonicityNot monotonic
2023-12-12T23:53:11.639997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.111524 16
 
9.6%
127.187243 13
 
7.8%
127.012308 13
 
7.8%
127.127083 8
 
4.8%
127.220138 6
 
3.6%
127.011956 6
 
3.6%
127.184079 5
 
3.0%
127.127941 5
 
3.0%
127.169452 4
 
2.4%
126.980472 3
 
1.8%
Other values (81) 88
52.7%
ValueCountFrequency (%)
126.96305 1
 
0.6%
126.972797 1
 
0.6%
126.977833 1
 
0.6%
126.980472 3
 
1.8%
126.984338 1
 
0.6%
127.011956 6
3.6%
127.012308 13
7.8%
127.015193 1
 
0.6%
127.016283 1
 
0.6%
127.019465 1
 
0.6%
ValueCountFrequency (%)
127.252344 1
 
0.6%
127.250559 1
 
0.6%
127.249947 1
 
0.6%
127.249635 1
 
0.6%
127.247571 2
 
1.2%
127.233004 1
 
0.6%
127.220138 6
3.6%
127.218009 1
 
0.6%
127.216701 3
1.8%
127.215817 1
 
0.6%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-10-20
167 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-20
2nd row2023-10-20
3rd row2023-10-20
4th row2023-10-20
5th row2023-10-20

Common Values

ValueCountFrequency (%)
2023-10-20 167
100.0%

Length

2023-12-12T23:53:11.771684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:53:11.881553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-20 167
100.0%

Interactions

2023-12-12T23:53:07.989529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:53:07.264006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:53:07.616134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:53:08.117378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:53:07.380854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:53:07.752559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:53:08.218916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:53:07.486053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:53:07.859474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:53:11.938390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
문화재순번문화재번호재정일자주소위도경도
문화재순번1.0000.9180.9710.8830.3010.274
문화재번호0.9181.0000.9870.8830.2190.211
재정일자0.9710.9871.0000.9560.1830.821
주소0.8830.8830.9561.0001.0001.000
위도0.3010.2190.1831.0001.0000.868
경도0.2740.2110.8211.0000.8681.000
2023-12-12T23:53:12.029382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
문화재순번위도경도문화재번호
문화재순번1.000-0.1350.1540.714
위도-0.1351.000-0.7510.129
경도0.154-0.7511.0000.094
문화재번호0.7140.1290.0941.000

Missing values

2023-12-12T23:53:08.372148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:53:08.535433image/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

문화재순번문화재번호재정일자문화재명주소위도경도데이터기준일
01국가지정문화재 국보1962-12-20계유명삼존천불비상충청남도 공주시 웅진동 36036.466003127.1115242023-10-20
12국가지정문화재 국보1974-07-09무령왕 금제 관식충청남도 공주시 웅진동 36036.466003127.1115242023-10-20
23국가지정문화재 국보1974-07-09무령왕비 금제 관식서울특별시 용산구 용산동 6가168-637.531141126.9804722023-10-20
34국가지정문화재 국보1974-07-09무령왕 금귀걸이충청남도 공주시 웅진동 36036.466003127.1115242023-10-20
45국가지정문화재 국보1974-07-09무령왕비 금귀걸이충청남도 공주시 웅진동 36036.466003127.1115242023-10-20
56국가지정문화재 국보1974-07-09무령왕비 금목걸이충청남도 공주시 웅진동 36036.466003127.1115242023-10-20
67국가지정문화재 국보1974-07-09무령왕 금제 뒤꽂이충청남도 공주시 웅진동 36036.466003127.1115242023-10-20
78국가지정문화재 국보1974-07-09무령왕비 은팔찌충청남도 공주시 웅진동 36036.466003127.1115242023-10-20
89국가지정문화재 국보1974-07-09무령왕릉 청동거울 일괄충청남도 공주시 웅진동 36036.466003127.1115242023-10-20
910국가지정문화재 국보1974-07-09무령왕릉 석수충청남도 공주시 웅진동 36036.466003127.1115242023-10-20
문화재순번문화재번호재정일자문화재명주소위도경도데이터기준일
157158충청남도 문화재자료1984-05-17목사김효성의비충청남도 공주시 금성동 16-136.463668127.1243322023-10-20
158159충청남도 문화재자료1986-11-19충헌공윤전사우충청남도 공주시 계룡면 유평리 333-*236.356433127.1362042023-10-20
159160충청남도 문화재자료1988-08-30이유태선생유고충청남도 공주시 상왕동 340-336.442782127.1694522023-10-20
160161충청남도 문화재자료1992-12-08공주숙종대왕태실비충청남도 공주시 태봉동 산64-136.410636127.0964332023-10-20
161162충청남도 문화재자료2000-09-20공주순천박씨공신록권2책충청남도 공주시 계룡면 양화리36.337303127.1779792023-10-20
162163충청남도 문화재자료2001-06-30공주영은사아미타후불탱화충청남도 공주시 산성동 11-336.460414127.1279412023-10-20
163164충청남도 문화재자료2001-06-30공주영은사칠성탱화충청남도 공주시 산성동 11-336.460414127.1279412023-10-20
164165충청남도 문화재자료2004-10-30공주이유태유허지충청남도 공주시 상왕동 340-336.442782127.1694522023-10-20
165166충청남도 문화재자료2005-10-31김종서유허지충청남도 공주시 의당면 월곡리 138-236.531263127.1549182023-10-20
166167충청남도 문화재자료2019-01-30공주 동불사 목조석가여래좌상충청남도 공주시 반죽동 98-336.455731127.1196262023-10-20