Overview

Dataset statistics

Number of variables9
Number of observations46
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.5 KiB
Average record size in memory76.9 B

Variable types

Categorical4
Numeric2
Text2
DateTime1

Dataset

Description곡성군 문화재 현황 자료
Author전라남도 곡성군
URLhttps://www.data.go.kr/data/3074929/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
문화재명 has unique valuesUnique
보호구역면적(㎡) has 18 (39.1%) zerosZeros

Reproduction

Analysis started2023-12-12 06:37:48.983550
Analysis finished2023-12-12 06:37:49.887313
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
전라남도
46 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전라남도 46
100.0%

Length

2023-12-12T15:37:49.943094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:37:50.025336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 46
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
곡성군
46 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
곡성군 46
100.0%

Length

2023-12-12T15:37:50.114301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:37:50.237519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
곡성군 46
100.0%

지정별
Categorical

Distinct9
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Memory size500.0 B
문화재자료
14 
유형 문화재
11 
보 물
8 
지방기념물
4 
등록문화재
3 
Other values (4)
6 

Length

Max length7
Median length6
Mean length5.2826087
Min length4

Unique

Unique2 ?
Unique (%)4.3%

Sample

1st row보 물
2nd row보 물
3rd row보 물
4th row보 물
5th row보 물

Common Values

ValueCountFrequency (%)
문화재자료 14
30.4%
유형 문화재 11
23.9%
보 물 8
17.4%
지방기념물 4
 
8.7%
등록문화재 3
 
6.5%
중요무형문화재 2
 
4.3%
도.무형문화재 2
 
4.3%
중요민속문화재 1
 
2.2%
민속문화재 1
 
2.2%

Length

2023-12-12T15:37:50.373286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:37:50.509907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문화재자료 14
21.5%
유형 11
16.9%
문화재 11
16.9%
보 8
12.3%
물 8
12.3%
지방기념물 4
 
6.2%
등록문화재 3
 
4.6%
중요무형문화재 2
 
3.1%
도.무형문화재 2
 
3.1%
중요민속문화재 1
 
1.5%

지정번호
Real number (ℝ)

Distinct45
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean265.71739
Minimum2
Maximum1469
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T15:37:50.672933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile23.25
Q155.25
median151
Q3271.75
95-th percentile1336.25
Maximum1469
Range1467
Interquartile range (IQR)216.5

Descriptive statistics

Standard deviation377.85086
Coefficient of variation (CV)1.4220028
Kurtosis4.676799
Mean265.71739
Median Absolute Deviation (MAD)110
Skewness2.3867185
Sum12223
Variance142771.27
MonotonicityNot monotonic
2023-12-12T15:37:50.821837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
56 2
 
4.3%
29 1
 
2.2%
101 1
 
2.2%
236 1
 
2.2%
2 1
 
2.2%
22 1
 
2.2%
23 1
 
2.2%
24 1
 
2.2%
25 1
 
2.2%
27 1
 
2.2%
Other values (35) 35
76.1%
ValueCountFrequency (%)
2 1
2.2%
22 1
2.2%
23 1
2.2%
24 1
2.2%
25 1
2.2%
27 1
2.2%
28 1
2.2%
29 1
2.2%
32 1
2.2%
35 1
2.2%
ValueCountFrequency (%)
1469 1
2.2%
1349 1
2.2%
1341 1
2.2%
1322 1
2.2%
956 1
2.2%
321 1
2.2%
320 1
2.2%
315 1
2.2%
275 1
2.2%
274 1
2.2%

문화재명
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T15:37:51.070618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length26
Mean length17.782609
Min length8

Characters and Unicode

Total characters818
Distinct characters248
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)100.0%

Sample

1st row곡성 태안사 적인선사탑(谷城 泰安寺 寂忍禪師塔)
2nd row곡성 태안사 광자대사탑(谷城 泰安寺 廣慈大師塔)
3rd row곡성 태안사 광자대사탑비(谷城 泰安寺 廣慈大師塔碑)
4th row곡성 태안사 청동 대바라(谷城 泰安寺 靑銅 大??)
5th row곡성 가곡리 오층석탑(谷城 柯谷里 五層石塔)
ValueCountFrequency (%)
곡성 22
 
15.5%
태안사 8
 
5.6%
泰安寺 5
 
3.5%
도림사 3
 
2.1%
道林寺 2
 
1.4%
동종(谷城 2
 
1.4%
서산사 2
 
1.4%
銅鐘 2
 
1.4%
西山寺 2
 
1.4%
도동묘 2
 
1.4%
Other values (92) 92
64.8%
2023-12-12T15:37:51.421194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
 
11.7%
( 48
 
5.9%
) 48
 
5.9%
곡 27
 
3.3%
谷 27
 
3.3%
성 27
 
3.3%
城 26
 
3.2%
사 23
 
2.8%
寺 18
 
2.2%
安 10
 
1.2%
Other values (238) 468
57.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 623
76.2%
Space Separator 96
 
11.7%
Open Punctuation 48
 
5.9%
Close Punctuation 48
 
5.9%
Other Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
곡 27
 
4.3%
谷 27
 
4.3%
성 27
 
4.3%
城 26
 
4.2%
사 23
 
3.7%
寺 18
 
2.9%
安 10
 
1.6%
도 10
 
1.6%
안 10
 
1.6%
동 9
 
1.4%
Other values (234) 436
70.0%
Space Separator
ValueCountFrequency (%)
96
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Other Punctuation
ValueCountFrequency (%)
? 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 318
38.9%
Han 305
37.3%
Common 195
23.8%

Most frequent character per script

Han
ValueCountFrequency (%)
谷 27
 
8.9%
城 26
 
8.5%
寺 18
 
5.9%
安 10
 
3.3%
泰 9
 
3.0%
道 8
 
2.6%
像 6
 
2.0%
石 6
 
2.0%
堂 5
 
1.6%
塔 5
 
1.6%
Other values (121) 185
60.7%
Hangul
ValueCountFrequency (%)
곡 27
 
8.5%
성 27
 
8.5%
사 23
 
7.2%
도 10
 
3.1%
안 10
 
3.1%
동 9
 
2.8%
태 9
 
2.8%
상 6
 
1.9%
석 6
 
1.9%
장 6
 
1.9%
Other values (103) 185
58.2%
Common
ValueCountFrequency (%)
96
49.2%
( 48
24.6%
) 48
24.6%
? 3
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 318
38.9%
CJK 297
36.3%
ASCII 195
23.8%
CJK Compat Ideographs 8
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
49.2%
( 48
24.6%
) 48
24.6%
? 3
 
1.5%
Hangul
ValueCountFrequency (%)
곡 27
 
8.5%
성 27
 
8.5%
사 23
 
7.2%
도 10
 
3.1%
안 10
 
3.1%
동 9
 
2.8%
태 9
 
2.8%
상 6
 
1.9%
석 6
 
1.9%
장 6
 
1.9%
Other values (103) 185
58.2%
CJK
ValueCountFrequency (%)
谷 27
 
9.1%
城 26
 
8.8%
寺 18
 
6.1%
安 10
 
3.4%
泰 9
 
3.0%
道 8
 
2.7%
像 6
 
2.0%
石 6
 
2.0%
堂 5
 
1.7%
塔 5
 
1.7%
Other values (114) 177
59.6%
CJK Compat Ideographs
ValueCountFrequency (%)
烈 2
25.0%
漣 1
12.5%
柳 1
12.5%
龍 1
12.5%
凌 1
12.5%
烙 1
12.5%
立 1
12.5%

소재지
Text

Distinct37
Distinct (%)80.4%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T15:37:51.723676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length20.934783
Min length18

Characters and Unicode

Total characters963
Distinct characters69
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

Unique31 ?
Unique (%)67.4%

Sample

1st row전라남도 곡성군 죽곡면 원달리 20
2nd row전라남도 곡성군 죽곡면 원달리 산18-1
3rd row전라남도 곡성군 죽곡면 원달리 산18-1
4th row전라남도 곡성군 죽곡면 원달리 20
5th row전라남도 곡성군 오산면 가곡리 2
ValueCountFrequency (%)
전라남도 46
20.0%
곡성군 46
20.0%
죽곡면 13
 
5.7%
곡성읍 9
 
3.9%
원달리 8
 
3.5%
오곡면 6
 
2.6%
산18-1 4
 
1.7%
옥과면 4
 
1.7%
오지리 4
 
1.7%
석곡면 4
 
1.7%
Other values (67) 86
37.4%
2023-12-12T15:37:52.160574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
189
19.6%
곡 83
 
8.6%
성 56
 
5.8%
전 47
 
4.9%
라 46
 
4.8%
남 46
 
4.8%
도 46
 
4.8%
군 46
 
4.8%
리 43
 
4.5%
면 37
 
3.8%
Other values (59) 324
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 614
63.8%
Space Separator 189
 
19.6%
Decimal Number 141
 
14.6%
Dash Punctuation 17
 
1.8%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
곡 83
13.5%
성 56
 
9.1%
전 47
 
7.7%
라 46
 
7.5%
남 46
 
7.5%
도 46
 
7.5%
군 46
 
7.5%
리 43
 
7.0%
면 37
 
6.0%
오 15
 
2.4%
Other values (45) 149
24.3%
Decimal Number
ValueCountFrequency (%)
1 31
22.0%
2 25
17.7%
6 15
10.6%
4 13
9.2%
0 13
9.2%
7 12
 
8.5%
8 10
 
7.1%
5 9
 
6.4%
3 7
 
5.0%
9 6
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
189
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 614
63.8%
Common 349
36.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
곡 83
13.5%
성 56
 
9.1%
전 47
 
7.7%
라 46
 
7.5%
남 46
 
7.5%
도 46
 
7.5%
군 46
 
7.5%
리 43
 
7.0%
면 37
 
6.0%
오 15
 
2.4%
Other values (45) 149
24.3%
Common
ValueCountFrequency (%)
189
54.2%
1 31
 
8.9%
2 25
 
7.2%
- 17
 
4.9%
6 15
 
4.3%
4 13
 
3.7%
0 13
 
3.7%
7 12
 
3.4%
8 10
 
2.9%
5 9
 
2.6%
Other values (4) 15
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 614
63.8%
ASCII 349
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
189
54.2%
1 31
 
8.9%
2 25
 
7.2%
- 17
 
4.9%
6 15
 
4.3%
4 13
 
3.7%
0 13
 
3.7%
7 12
 
3.4%
8 10
 
2.9%
5 9
 
2.6%
Other values (4) 15
 
4.3%
Hangul
ValueCountFrequency (%)
곡 83
13.5%
성 56
 
9.1%
전 47
 
7.7%
라 46
 
7.5%
남 46
 
7.5%
도 46
 
7.5%
군 46
 
7.5%
리 43
 
7.0%
면 37
 
6.0%
오 15
 
2.4%
Other values (45) 149
24.3%

보호구역면적(㎡)
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)58.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3310.7174
Minimum0
Maximum29991
Zeros18
Zeros (%)39.1%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T15:37:52.309750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median234.6
Q31809.25
95-th percentile22098.775
Maximum29991
Range29991
Interquartile range (IQR)1809.25

Descriptive statistics

Standard deviation7314.1758
Coefficient of variation (CV)2.209242
Kurtosis6.8890576
Mean3310.7174
Median Absolute Deviation (MAD)234.6
Skewness2.7490843
Sum152293
Variance53497168
MonotonicityNot monotonic
2023-12-12T15:37:52.468735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.0 18
39.1%
13047.4 3
 
6.5%
1.2 1
 
2.2%
6.3 1
 
2.2%
1534.0 1
 
2.2%
387.0 1
 
2.2%
1207.0 1
 
2.2%
853.0 1
 
2.2%
352.0 1
 
2.2%
117.2 1
 
2.2%
Other values (17) 17
37.0%
ValueCountFrequency (%)
0.0 18
39.1%
1.2 1
 
2.2%
6.3 1
 
2.2%
48.0 1
 
2.2%
73.5 1
 
2.2%
117.2 1
 
2.2%
352.0 1
 
2.2%
387.0 1
 
2.2%
443.0 1
 
2.2%
734.0 1
 
2.2%
ValueCountFrequency (%)
29991.0 1
 
2.2%
28063.4 1
 
2.2%
25115.9 1
 
2.2%
13047.4 3
6.5%
4563.9 1
 
2.2%
4274.0 1
 
2.2%
4172.0 1
 
2.2%
2826.0 1
 
2.2%
2143.0 1
 
2.2%
1901.0 1
 
2.2%

지정일
Date

Distinct28
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum1963-01-21 00:00:00
Maximum2015-08-06 00:00:00
2023-12-12T15:37:52.608638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:37:52.774405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
2016-03-31
46 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2016-03-31
2nd row2016-03-31
3rd row2016-03-31
4th row2016-03-31
5th row2016-03-31

Common Values

ValueCountFrequency (%)
2016-03-31 46
100.0%

Length

2023-12-12T15:37:52.945963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:37:53.068954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2016-03-31 46
100.0%

Interactions

2023-12-12T15:37:49.526063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:37:49.336580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:37:49.611189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:37:49.433327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:37:53.134864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정별지정번호문화재명소재지보호구역면적(㎡)지정일
지정별1.0000.3671.0000.9840.2100.985
지정번호0.3671.0001.0000.0000.0000.991
문화재명1.0001.0001.0001.0001.0001.000
소재지0.9840.0001.0001.0000.5850.961
보호구역면적(㎡)0.2100.0001.0000.5851.0000.800
지정일0.9850.9911.0000.9610.8001.000
2023-12-12T15:37:53.282126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정번호보호구역면적(㎡)지정별
지정번호1.000-0.2720.173
보호구역면적(㎡)-0.2721.0000.097
지정별0.1730.0971.000

Missing values

2023-12-12T15:37:49.717427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:37:49.839107image/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

시도명시군구명지정별지정번호문화재명소재지보호구역면적(㎡)지정일데이터기준일자
0전라남도곡성군보 물273곡성 태안사 적인선사탑(谷城 泰安寺 寂忍禪師塔)전라남도 곡성군 죽곡면 원달리 2013047.41963-01-212016-03-31
1전라남도곡성군보 물274곡성 태안사 광자대사탑(谷城 泰安寺 廣慈大師塔)전라남도 곡성군 죽곡면 원달리 산18-113047.41963-01-212016-03-31
2전라남도곡성군보 물275곡성 태안사 광자대사탑비(谷城 泰安寺 廣慈大師塔碑)전라남도 곡성군 죽곡면 원달리 산18-113047.41963-01-212016-03-31
3전라남도곡성군보 물956곡성 태안사 청동 대바라(谷城 泰安寺 靑銅 大??)전라남도 곡성군 죽곡면 원달리 200.01988-06-162016-03-31
4전라남도곡성군보 물1322곡성 가곡리 오층석탑(谷城 柯谷里 五層石塔)전라남도 곡성군 오산면 가곡리 21189.62001-09-212016-03-31
5전라남도곡성군보 물1349곡성 태안사 동종(谷城 泰安寺 銅鐘)전라남도 곡성군 죽곡면 원달리 200.02002-10-152016-03-31
6전라남도곡성군보 물1341도림사 괘불탱(道林寺 掛佛幀)전라남도 곡성군 곡성읍 .월봉리 3270.02002-07-022016-03-31
7전라남도곡성군보 물1469마천목 좌명공신녹권(馬天牧 佐命功臣錄券)전라남도 곡성군 석곡면 방송리 2910.02006-04-282016-03-31
8전라남도곡성군중요무형문화재32곡성 돌실나이(谷城 돌실나이)전라남도 곡성군 석곡면 죽산리 2290.01970-07-222016-03-31
9전라남도곡성군중요무형문화재60장도장(낙죽장도)(粧刀匠(烙竹粧刀))전라남도 곡성군 목사동면 공북리 5950.01993-07-052016-03-31
시도명시군구명지정별지정번호문화재명소재지보호구역면적(㎡)지정일데이터기준일자
36전라남도곡성군문화재자료120덕산사(德山祠)전라남도 곡성군 오곡면 덕산리 산27853.01984-02-292016-03-31
37전라남도곡성군문화재자료129수성당(壽星堂)전라남도 곡성군 오곡면오지리 10001207.01986-09-292016-03-31
38전라남도곡성군문화재자료147수도암 잣나무(修道庵 잣나무)전라남도 곡성군 옥과면 설옥리 613387.01987-06-012016-03-31
39전라남도곡성군문화재자료167영류재(永類齋)전라남도 곡성군 죽곡면 봉정리 5231534.01988-12-212016-03-31
40전라남도곡성군문화재자료170태안사 삼층석탑(泰安寺 三層石塔)전라남도 곡성군 죽곡면 원달리 176.31988-12-212016-03-31
41전라남도곡성군문화재자료244곡성 도동묘 안향영정(谷城道東廟安珦影幀)전라남도 곡성군 오곡면 오지리 4660.02004-02-132016-03-31
42전라남도곡성군문화재자료255곡성 전화장사지 석불좌상(谷城 傳華藏寺址 石佛坐像)전라남도 곡성군 죽곡면 당동리 4601.22005-07-132016-03-31
43전라남도곡성군등록문화재122구 곡성역(舊谷城驛)전라남도 곡성군 오곡면 오지리 770-50.02004-12-312016-03-31
44전라남도곡성군등록문화재228곡성 단군전(谷城檀君殿)전라남도 곡성군 곡성읍 학정리 99-20.02005-12-092016-03-31
45전라남도곡성군등록문화재222곡성 삼기우체국(谷城三岐郵遞局)전라남도 곡성군 삼기면 원등리 2700.02005-12-092016-03-31