Overview

Dataset statistics

Number of variables16
Number of observations1298
Missing cells1476
Missing cells (%)7.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory171.3 KiB
Average record size in memory135.1 B

Variable types

Numeric5
Categorical4
Text4
DateTime1
Boolean1
Unsupported1

Alerts

시도명 has constant value ""Constant
위탁기관코드 has constant value ""Constant
고유 키값 is highly overall correlated with 종목코드 and 2 other fieldsHigh correlation
종목코드 is highly overall correlated with 고유 키값 and 2 other fieldsHigh correlation
문화재연계번호 is highly overall correlated with 고유 키값 and 2 other fieldsHigh correlation
문화재종목 is highly overall correlated with 고유 키값 and 2 other fieldsHigh correlation
문화재명(국문) has 75 (5.8%) missing valuesMissing
관리자 has 103 (7.9%) missing valuesMissing
경도 ( 0일 경우 : 위치 값 없음 ) has 1298 (100.0%) missing valuesMissing
고유 키값 has unique valuesUnique
문화재연계번호 has unique valuesUnique
경도 ( 0일 경우 : 위치 값 없음 ) is an unsupported type, check if it needs cleaning or further analysisUnsupported
위도 ( 0일 경우 : 위치 값 없음 ) has 305 (23.5%) zerosZeros

Reproduction

Analysis started2024-03-13 11:51:38.502562
Analysis finished2024-03-13 11:51:43.794564
Duration5.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

고유 키값
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1298
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10089.773
Minimum192
Maximum21242
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-03-13T20:51:43.871912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum192
5-th percentile1670.85
Q16820.25
median10223.5
Q312881.75
95-th percentile19609.35
Maximum21242
Range21050
Interquartile range (IQR)6061.5

Descriptive statistics

Standard deviation4996.9223
Coefficient of variation (CV)0.49524627
Kurtosis-0.44464462
Mean10089.773
Median Absolute Deviation (MAD)2780
Skewness-0.065271087
Sum13096525
Variance24969232
MonotonicityNot monotonic
2024-03-13T20:51:44.006559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
251 1
 
0.1%
12660 1
 
0.1%
12678 1
 
0.1%
12677 1
 
0.1%
12676 1
 
0.1%
12675 1
 
0.1%
12674 1
 
0.1%
12673 1
 
0.1%
12672 1
 
0.1%
12671 1
 
0.1%
Other values (1288) 1288
99.2%
ValueCountFrequency (%)
192 1
0.1%
251 1
0.1%
252 1
0.1%
253 1
0.1%
254 1
0.1%
255 1
0.1%
256 1
0.1%
257 1
0.1%
259 1
0.1%
261 1
0.1%
ValueCountFrequency (%)
21242 1
0.1%
21239 1
0.1%
21221 1
0.1%
21220 1
0.1%
21219 1
0.1%
21203 1
0.1%
21128 1
0.1%
21125 1
0.1%
21109 1
0.1%
20982 1
0.1%

문화재종목
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
문화재자료
401 
시도유형문화재
239 
시도기념물
201 
보물
140 
국가등록문화재
79 
Other values (10)
238 

Length

Max length7
Median length5
Mean length5.155624
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
문화재자료 401
30.9%
시도유형문화재 239
18.4%
시도기념물 201
15.5%
보물 140
 
10.8%
국가등록문화재 79
 
6.1%
시도무형문화재 63
 
4.9%
사적 54
 
4.2%
국보 31
 
2.4%
시도민속문화재 30
 
2.3%
천연기념물 25
 
1.9%
Other values (5) 35
 
2.7%

Length

2024-03-13T20:51:44.156512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
문화재자료 401
30.8%
시도유형문화재 239
18.4%
시도기념물 201
15.5%
보물 140
 
10.8%
국가등록문화재 79
 
6.1%
시도무형문화재 63
 
4.8%
사적 55
 
4.2%
국보 31
 
2.4%
시도민속문화재 30
 
2.3%
천연기념물 25
 
1.9%
Other values (5) 36
 
2.8%

문화재명(국문)
Text

MISSING 

Distinct1217
Distinct (%)99.5%
Missing75
Missing (%)5.8%
Memory size10.3 KiB
2024-03-13T20:51:44.406159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length8.3859362
Min length2

Characters and Unicode

Total characters10256
Distinct characters1220
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1211 ?
Unique (%)99.0%

Sample

1st row天安 奉先弘慶寺 碣記碑
2nd row保寧 聖住寺址 大朗慧和尙塔碑
3rd row扶餘 定林寺址 五層石塔
4th row禮山 修德寺 大雄殿
5th row靑陽 長谷寺 鐵造藥師如來坐像 및 石造臺座
ValueCountFrequency (%)
扶餘 51
 
2.4%
公州 50
 
2.3%
李舜臣 29
 
1.4%
및 24
 
1.1%
瑞山 23
 
1.1%
21
 
1.0%
天安 18
 
0.8%
牙山 17
 
0.8%
關聯 17
 
0.8%
論山 16
 
0.7%
Other values (1434) 1880
87.6%
2024-03-13T20:51:44.931129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
923
 
9.0%
寺 301
 
2.9%
山 287
 
2.8%
石 169
 
1.6%
里 142
 
1.4%
城 119
 
1.2%
像 109
 
1.1%
大 107
 
1.0%
佛 102
 
1.0%
公 97
 
0.9%
Other values (1210) 7900
77.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9114
88.9%
Space Separator 923
 
9.0%
Decimal Number 82
 
0.8%
Other Punctuation 38
 
0.4%
Dash Punctuation 30
 
0.3%
Open Punctuation 24
 
0.2%
Close Punctuation 24
 
0.2%
Math Symbol 19
 
0.2%
Final Punctuation 1
 
< 0.1%
Initial Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
寺 301
 
3.3%
山 287
 
3.1%
石 169
 
1.9%
里 142
 
1.6%
城 119
 
1.3%
像 109
 
1.2%
大 107
 
1.2%
佛 102
 
1.1%
公 97
 
1.1%
州 91
 
1.0%
Other values (1186) 7590
83.3%
Decimal Number
ValueCountFrequency (%)
1 22
26.8%
2 19
23.2%
0 9
11.0%
4 8
 
9.8%
9 5
 
6.1%
8 4
 
4.9%
6 4
 
4.9%
7 4
 
4.9%
3 4
 
4.9%
5 3
 
3.7%
Other Punctuation
ValueCountFrequency (%)
. 12
31.6%
· 8
21.1%
& 6
15.8%
# 6
15.8%
; 6
15.8%
Math Symbol
ValueCountFrequency (%)
< 8
42.1%
> 8
42.1%
~ 3
 
15.8%
Space Separator
ValueCountFrequency (%)
923
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Han 8565
83.5%
Common 1142
 
11.1%
Hangul 549
 
5.4%

Most frequent character per script

Han
ValueCountFrequency (%)
寺 301
 
3.5%
山 287
 
3.4%
石 169
 
2.0%
里 142
 
1.7%
城 119
 
1.4%
像 109
 
1.3%
大 107
 
1.2%
佛 102
 
1.2%
公 97
 
1.1%
州 91
 
1.1%
Other values (1004) 7041
82.2%
Hangul
ValueCountFrequency (%)
및 43
 
7.8%
나 29
 
5.3%
무 28
 
5.1%
의 22
 
4.0%
리 14
 
2.6%
성 11
 
2.0%
기 11
 
2.0%
산 10
 
1.8%
지 10
 
1.8%
이 9
 
1.6%
Other values (172) 362
65.9%
Common
ValueCountFrequency (%)
923
80.8%
- 30
 
2.6%
( 24
 
2.1%
) 24
 
2.1%
1 22
 
1.9%
2 19
 
1.7%
. 12
 
1.1%
0 9
 
0.8%
< 8
 
0.7%
· 8
 
0.7%
Other values (14) 63
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
CJK 8310
81.0%
ASCII 1132
 
11.0%
Hangul 548
 
5.3%
CJK Compat Ideographs 255
 
2.5%
None 8
 
0.1%
Punctuation 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
923
81.5%
- 30
 
2.7%
( 24
 
2.1%
) 24
 
2.1%
1 22
 
1.9%
2 19
 
1.7%
. 12
 
1.1%
0 9
 
0.8%
< 8
 
0.7%
> 8
 
0.7%
Other values (11) 53
 
4.7%
CJK
ValueCountFrequency (%)
寺 301
 
3.6%
山 287
 
3.5%
石 169
 
2.0%
里 142
 
1.7%
城 119
 
1.4%
像 109
 
1.3%
大 107
 
1.3%
佛 102
 
1.2%
公 97
 
1.2%
州 91
 
1.1%
Other values (971) 6786
81.7%
Hangul
ValueCountFrequency (%)
및 43
 
7.8%
나 29
 
5.3%
무 28
 
5.1%
의 22
 
4.0%
리 14
 
2.6%
성 11
 
2.0%
기 11
 
2.0%
산 10
 
1.8%
지 10
 
1.8%
이 9
 
1.6%
Other values (171) 361
65.9%
CJK Compat Ideographs
ValueCountFrequency (%)
李 38
14.9%
寧 25
9.8%
立 20
 
7.8%
金 19
 
7.5%
龍 19
 
7.5%
論 19
 
7.5%
靈 17
 
6.7%
禮 16
 
6.3%
樂 13
 
5.1%
連 8
 
3.1%
Other values (23) 61
23.9%
None
ValueCountFrequency (%)
· 8
100.0%
Punctuation
ValueCountFrequency (%)
’ 1
50.0%
‘ 1
50.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

문화재명(한자)
Date

Distinct330
Distinct (%)25.4%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
Minimum2014-05-28 21:01:13
Maximum2023-12-20 11:25:02
2024-03-13T20:51:45.117623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:51:45.315595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
충남
1298 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충남 1298
100.0%

Length

2024-03-13T20:51:45.555538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:51:46.003340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충남 1298
100.0%

시군구명
Categorical

Distinct17
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
공주시
179 
부여군
178 
논산시
124 
천안시
119 
아산시
103 
Other values (12)
595 

Length

Max length4
Median length3
Mean length3.009245
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row천안시
2nd row보령시
3rd row부여군
4th row예산군
5th row청양군

Common Values

ValueCountFrequency (%)
공주시 179
13.8%
부여군 178
13.7%
논산시 124
9.6%
천안시 119
9.2%
아산시 103
7.9%
예산군 98
7.6%
서산시 87
 
6.7%
홍성군 62
 
4.8%
보령시 62
 
4.8%
서천군 56
 
4.3%
Other values (7) 230
17.7%

Length

2024-03-13T20:51:46.121406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공주시 179
13.8%
부여군 178
13.7%
논산시 124
9.6%
천안시 119
9.2%
아산시 103
7.9%
예산군 98
7.6%
서산시 87
 
6.7%
보령시 62
 
4.8%
홍성군 62
 
4.8%
서천군 56
 
4.3%
Other values (7) 230
17.7%

관리자
Text

MISSING 

Distinct351
Distinct (%)29.4%
Missing103
Missing (%)7.9%
Memory size10.3 KiB
2024-03-13T20:51:46.493370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length4.6953975
Min length2

Characters and Unicode

Total characters5611
Distinct characters223
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique201 ?
Unique (%)16.8%

Sample

1st row천안시
2nd row보령시
3rd row부여군
4th row수덕사
5th row장곡사
ValueCountFrequency (%)
대한불교조계종 47
 
3.6%
부여군청 39
 
3.0%
부여군 29
 
2.2%
공주시 27
 
2.1%
보령시 25
 
1.9%
예산군 25
 
1.9%
갑사 24
 
1.8%
현충사관리소 21
 
1.6%
마곡사 21
 
1.6%
독립기념관 21
 
1.6%
Other values (353) 1029
78.7%
2024-03-13T20:51:47.125006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
＊ 1068
 
19.0%
사 280
 
5.0%
군 181
 
3.2%
시 152
 
2.7%
교 134
 
2.4%
산 133
 
2.4%
종 121
 
2.2%
113
 
2.0%
대 108
 
1.9%
부 107
 
1.9%
Other values (213) 3214
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4368
77.8%
Other Punctuation 1084
 
19.3%
Space Separator 113
 
2.0%
Decimal Number 23
 
0.4%
Open Punctuation 10
 
0.2%
Close Punctuation 10
 
0.2%
Uppercase Letter 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 280
 
6.4%
군 181
 
4.1%
시 152
 
3.5%
교 134
 
3.1%
산 133
 
3.0%
종 121
 
2.8%
대 108
 
2.5%
부 107
 
2.4%
관 102
 
2.3%
여 92
 
2.1%
Other values (197) 2958
67.7%
Other Punctuation
ValueCountFrequency (%)
＊ 1068
98.5%
& 5
 
0.5%
; 5
 
0.5%
# 5
 
0.5%
: 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
7 10
43.5%
4 10
43.5%
8 1
 
4.3%
6 1
 
4.3%
2 1
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
T 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
113
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4368
77.8%
Common 1241
 
22.1%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 280
 
6.4%
군 181
 
4.1%
시 152
 
3.5%
교 134
 
3.1%
산 133
 
3.0%
종 121
 
2.8%
대 108
 
2.5%
부 107
 
2.4%
관 102
 
2.3%
여 92
 
2.1%
Other values (197) 2958
67.7%
Common
ValueCountFrequency (%)
＊ 1068
86.1%
113
 
9.1%
7 10
 
0.8%
4 10
 
0.8%
( 10
 
0.8%
) 10
 
0.8%
& 5
 
0.4%
; 5
 
0.4%
# 5
 
0.4%
- 1
 
0.1%
Other values (4) 4
 
0.3%
Latin
ValueCountFrequency (%)
T 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4368
77.8%
None 1068
 
19.0%
ASCII 175
 
3.1%

Most frequent character per block

None
ValueCountFrequency (%)
＊ 1068
100.0%
Hangul
ValueCountFrequency (%)
사 280
 
6.4%
군 181
 
4.1%
시 152
 
3.5%
교 134
 
3.1%
산 133
 
3.0%
종 121
 
2.8%
대 108
 
2.5%
부 107
 
2.4%
관 102
 
2.3%
여 92
 
2.1%
Other values (197) 2958
67.7%
ASCII
ValueCountFrequency (%)
113
64.6%
7 10
 
5.7%
4 10
 
5.7%
( 10
 
5.7%
) 10
 
5.7%
& 5
 
2.9%
; 5
 
2.9%
# 5
 
2.9%
T 1
 
0.6%
K 1
 
0.6%
Other values (5) 5
 
2.9%

종목코드
Real number (ℝ)

HIGH CORRELATION 

Distinct15
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.330508
Minimum11
Maximum79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-03-13T20:51:47.294319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile12
Q121
median23
Q331
95-th percentile79
Maximum79
Range68
Interquartile range (IQR)10

Descriptive statistics

Standard deviation14.930247
Coefficient of variation (CV)0.56703222
Kurtosis6.629797
Mean26.330508
Median Absolute Deviation (MAD)8
Skewness2.5132064
Sum34177
Variance222.91227
MonotonicityIncreasing
2024-03-13T20:51:47.423402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
31 401
30.9%
21 239
18.4%
23 201
15.5%
12 140
 
10.8%
79 79
 
6.1%
22 63
 
4.9%
13 54
 
4.2%
11 31
 
2.4%
24 30
 
2.3%
16 25
 
1.9%
Other values (5) 35
 
2.7%
ValueCountFrequency (%)
11 31
 
2.4%
12 140
10.8%
13 54
 
4.2%
14 1
 
0.1%
15 3
 
0.2%
16 25
 
1.9%
17 4
 
0.3%
18 24
 
1.8%
21 239
18.4%
22 63
 
4.9%
ValueCountFrequency (%)
79 79
 
6.1%
31 401
30.9%
25 3
 
0.2%
24 30
 
2.3%
23 201
15.5%
22 63
 
4.9%
21 239
18.4%
18 24
 
1.8%
17 4
 
0.3%
16 25
 
1.9%

시도코드
Boolean

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
False
1118 
True
180 
ValueCountFrequency (%)
False 1118
86.1%
True 180
 
13.9%
2024-03-13T20:51:47.590648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

관리번호
Text

Distinct1281
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
2024-03-13T20:51:48.004928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length27
Mean length8.596302
Min length2

Characters and Unicode

Total characters11158
Distinct characters444
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1265 ?
Unique (%)97.5%

Sample

1st row천안 봉선홍경사 갈기비
2nd row보령 성주사지 대낭혜화상탑비
3rd row부여 정림사지 오층석탑
4th row예산 수덕사 대웅전
5th row청양 장곡사 철조약사여래좌상 및 석조대좌
ValueCountFrequency (%)
부여 56
 
2.4%
공주 55
 
2.3%
이순신 31
 
1.3%
및 31
 
1.3%
서산 24
 
1.0%
22
 
0.9%
아산 21
 
0.9%
논산 21
 
0.9%
서천 21
 
0.9%
천안 19
 
0.8%
Other values (1501) 2059
87.2%
2024-03-13T20:51:48.506778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1062
 
9.5%
사 452
 
4.1%
산 312
 
2.8%
성 222
 
2.0%
석 195
 
1.7%
지 179
 
1.6%
서 174
 
1.6%
상 166
 
1.5%
리 162
 
1.5%
여 149
 
1.3%
Other values (434) 8085
72.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9853
88.3%
Space Separator 1062
 
9.5%
Decimal Number 82
 
0.7%
Open Punctuation 38
 
0.3%
Close Punctuation 38
 
0.3%
Dash Punctuation 30
 
0.3%
Other Punctuation 30
 
0.3%
Math Symbol 19
 
0.2%
Initial Punctuation 3
 
< 0.1%
Final Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 452
 
4.6%
산 312
 
3.2%
성 222
 
2.3%
석 195
 
2.0%
지 179
 
1.8%
서 174
 
1.8%
상 166
 
1.7%
리 162
 
1.6%
여 149
 
1.5%
주 148
 
1.5%
Other values (411) 7694
78.1%
Decimal Number
ValueCountFrequency (%)
1 25
30.5%
2 19
23.2%
4 9
 
11.0%
0 9
 
11.0%
9 6
 
7.3%
5 4
 
4.9%
6 4
 
4.9%
7 3
 
3.7%
3 3
 
3.7%
Other Punctuation
ValueCountFrequency (%)
. 12
40.0%
· 9
30.0%
; 3
 
10.0%
# 3
 
10.0%
& 3
 
10.0%
Math Symbol
ValueCountFrequency (%)
> 8
42.1%
< 8
42.1%
~ 3
 
15.8%
Space Separator
ValueCountFrequency (%)
1062
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 3
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9837
88.2%
Common 1305
 
11.7%
Han 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 452
 
4.6%
산 312
 
3.2%
성 222
 
2.3%
석 195
 
2.0%
지 179
 
1.8%
서 174
 
1.8%
상 166
 
1.7%
리 162
 
1.6%
여 149
 
1.5%
주 148
 
1.5%
Other values (396) 7678
78.1%
Common
ValueCountFrequency (%)
1062
81.4%
( 38
 
2.9%
) 38
 
2.9%
- 30
 
2.3%
1 25
 
1.9%
2 19
 
1.5%
. 12
 
0.9%
4 9
 
0.7%
0 9
 
0.7%
· 9
 
0.7%
Other values (13) 54
 
4.1%
Han
ValueCountFrequency (%)
九 2
 
12.5%
倡 1
 
6.2%
東 1
 
6.2%
關 1
 
6.2%
錄 1
 
6.2%
義 1
 
6.2%
復 1
 
6.2%
遠 1
 
6.2%
不 1
 
6.2%
印 1
 
6.2%
Other values (5) 5
31.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9836
88.2%
ASCII 1290
 
11.6%
CJK 14
 
0.1%
None 9
 
0.1%
Punctuation 6
 
0.1%
CJK Compat Ideographs 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1062
82.3%
( 38
 
2.9%
) 38
 
2.9%
- 30
 
2.3%
1 25
 
1.9%
2 19
 
1.5%
. 12
 
0.9%
4 9
 
0.7%
0 9
 
0.7%
> 8
 
0.6%
Other values (10) 40
 
3.1%
Hangul
ValueCountFrequency (%)
사 452
 
4.6%
산 312
 
3.2%
성 222
 
2.3%
석 195
 
2.0%
지 179
 
1.8%
서 174
 
1.8%
상 166
 
1.7%
리 162
 
1.6%
여 149
 
1.5%
주 148
 
1.5%
Other values (395) 7677
78.1%
None
ValueCountFrequency (%)
· 9
100.0%
Punctuation
ValueCountFrequency (%)
‘ 3
50.0%
’ 3
50.0%
CJK
ValueCountFrequency (%)
九 2
14.3%
倡 1
 
7.1%
東 1
 
7.1%
關 1
 
7.1%
錄 1
 
7.1%
義 1
 
7.1%
遠 1
 
7.1%
不 1
 
7.1%
印 1
 
7.1%
之 1
 
7.1%
Other values (3) 3
21.4%
CJK Compat Ideographs
ValueCountFrequency (%)
復 1
50.0%
金 1
50.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

지정해제여부
Real number (ℝ)

Distinct603
Distinct (%)46.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2797424.7
Minimum10000
Maximum22310000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-03-13T20:51:48.660118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10000
5-th percentile140000
Q1740000
median1690000
Q33200000
95-th percentile12601500
Maximum22310000
Range22300000
Interquartile range (IQR)2460000

Descriptive statistics

Standard deviation3785360.4
Coefficient of variation (CV)1.353159
Kurtosis9.0835264
Mean2797424.7
Median Absolute Deviation (MAD)1120000
Skewness2.9564048
Sum3.6310573 × 109
Variance1.4328953 × 1013
MonotonicityNot monotonic
2024-03-13T20:51:48.814202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210000 8
 
0.6%
90000 7
 
0.5%
140000 7
 
0.5%
100000 6
 
0.5%
200000 6
 
0.5%
990000 6
 
0.5%
180000 6
 
0.5%
1050000 6
 
0.5%
170000 6
 
0.5%
130000 6
 
0.5%
Other values (593) 1234
95.1%
ValueCountFrequency (%)
10000 5
0.4%
20000 3
0.2%
30000 4
0.3%
40000 5
0.4%
50000 4
0.3%
60000 3
0.2%
70000 5
0.4%
80000 5
0.4%
90000 7
0.5%
100000 6
0.5%
ValueCountFrequency (%)
22310000 1
0.1%
21630000 1
0.1%
21410000 1
0.1%
21200000 1
0.1%
20760000 1
0.1%
20210000 1
0.1%
20060000 1
0.1%
19760000 1
0.1%
19670000 1
0.1%
19660000 1
0.1%

문화재연계번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1298
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5132231 × 1012
Minimum1.1111029 × 1012
Maximum4.4234 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-03-13T20:51:48.966613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1111029 × 1012
5-th percentile1.1234022 × 1012
Q12.1134005 × 1012
median2.3334006 × 1012
Q33.4134018 × 1012
95-th percentile4.4134034 × 1012
Maximum4.4234 × 1012
Range3.3122971 × 1012
Interquartile range (IQR)1.3000013 × 1012

Descriptive statistics

Standard deviation9.4067985 × 1011
Coefficient of variation (CV)0.37429222
Kurtosis-0.85688871
Mean2.5132231 × 1012
Median Absolute Deviation (MAD)1.0799995 × 1012
Skewness0.19452355
Sum3.2621635 × 1015
Variance8.8487858 × 1023
MonotonicityNot monotonic
2024-03-13T20:51:49.158706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1113400070000 1
 
0.1%
3413400530000 1
 
0.1%
3413400710000 1
 
0.1%
3413400700000 1
 
0.1%
3413400690000 1
 
0.1%
3413400680000 1
 
0.1%
3413400670000 1
 
0.1%
3413400660000 1
 
0.1%
3413400650000 1
 
0.1%
3413400640000 1
 
0.1%
Other values (1288) 1288
99.2%
ValueCountFrequency (%)
1111102930000 1
0.1%
1113400070000 1
0.1%
1113400080000 1
0.1%
1113400090000 1
0.1%
1113400490000 1
0.1%
1113400580000 1
0.1%
1113400760000 1
0.1%
1113400840000 1
0.1%
1113401540000 1
0.1%
1113401560000 1
0.1%
ValueCountFrequency (%)
4423400030000 1
0.1%
4423400020000 1
0.1%
4423400010000 1
0.1%
4413706820000 1
0.1%
4413408500000 1
0.1%
4413408370000 1
0.1%
4413408210000 1
0.1%
4413408190700 1
0.1%
4413408190600 1
0.1%
4413408190500 1
0.1%

위탁기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
34
1298 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row34
2nd row34
3rd row34
4th row34
5th row34

Common Values

ValueCountFrequency (%)
34 1298
100.0%

Length

2024-03-13T20:51:49.333667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:51:49.468166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
34 1298
100.0%

경도 ( 0일 경우 : 위치 값 없음 )
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1298
Missing (%)100.0%
Memory size11.5 KiB

위도 ( 0일 경우 : 위치 값 없음 )
Real number (ℝ)

ZEROS 

Distinct886
Distinct (%)68.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.910394
Minimum0
Maximum37.524041
Zeros305
Zeros (%)23.5%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-03-13T20:51:49.598026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q136.080031
median36.316982
Q336.6621
95-th percentile36.831946
Maximum37.524041
Range37.524041
Interquartile range (IQR)0.58206955

Descriptive statistics

Standard deviation15.475732
Coefficient of variation (CV)0.55447915
Kurtosis-0.43480871
Mean27.910394
Median Absolute Deviation (MAD)0.32783284
Skewness-1.2509072
Sum36227.692
Variance239.49828
MonotonicityNot monotonic
2024-03-13T20:51:49.741008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 305
 
23.5%
36.782447 11
 
0.8%
36.4655996983205 11
 
0.8%
36.3169817 10
 
0.8%
36.5590461 7
 
0.5%
36.276362859528 6
 
0.5%
36.6757701 6
 
0.5%
36.3652303 6
 
0.5%
36.6482816 6
 
0.5%
36.7922043 6
 
0.5%
Other values (876) 924
71.2%
ValueCountFrequency (%)
0.0 305
23.5%
36.0082808494086 1
 
0.1%
36.0124355372346 1
 
0.1%
36.0476358 1
 
0.1%
36.0530463569093 1
 
0.1%
36.0542505166132 1
 
0.1%
36.0543138061542 1
 
0.1%
36.0544859625403 1
 
0.1%
36.0597510254593 1
 
0.1%
36.0614375627886 1
 
0.1%
ValueCountFrequency (%)
37.5240413763397 1
0.1%
37.0406038373251 1
0.1%
36.9831478303833 1
0.1%
36.9752702562392 1
0.1%
36.967322743759 1
0.1%
36.9522019336574 1
0.1%
36.9456528917927 1
0.1%
36.9440557 1
0.1%
36.943151950305 1
0.1%
36.9408481327687 1
0.1%

crltsnoNm
Text

Distinct603
Distinct (%)46.5%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
2024-03-13T20:51:50.251261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length2.8066256
Min length1

Characters and Unicode

Total characters3643
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique282 ?
Unique (%)21.7%

Sample

1st row7
2nd row8
3rd row9
4th row49
5th row58
ValueCountFrequency (%)
21 8
 
0.6%
9 7
 
0.5%
14 7
 
0.5%
18 6
 
0.5%
22 6
 
0.5%
17 6
 
0.5%
10 6
 
0.5%
20 6
 
0.5%
13 6
 
0.5%
99 6
 
0.5%
Other values (593) 1234
95.1%
2024-03-13T20:51:50.879235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 738
20.3%
2 499
13.7%
3 432
11.9%
4 333
9.1%
5 303
8.3%
6 278
 
7.6%
9 264
 
7.2%
7 251
 
6.9%
8 249
 
6.8%
0 239
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3586
98.4%
Dash Punctuation 57
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 738
20.6%
2 499
13.9%
3 432
12.0%
4 333
9.3%
5 303
8.4%
6 278
 
7.8%
9 264
 
7.4%
7 251
 
7.0%
8 249
 
6.9%
0 239
 
6.7%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3643
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 738
20.3%
2 499
13.7%
3 432
11.9%
4 333
9.1%
5 303
8.3%
6 278
 
7.6%
9 264
 
7.2%
7 251
 
6.9%
8 249
 
6.8%
0 239
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3643
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 738
20.3%
2 499
13.7%
3 432
11.9%
4 333
9.1%
5 303
8.3%
6 278
 
7.6%
9 264
 
7.2%
7 251
 
6.9%
8 249
 
6.8%
0 239
 
6.6%

Interactions

2024-03-13T20:51:42.660465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:51:40.209396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:51:40.926149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:51:41.555152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:51:42.066012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:51:42.772728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:51:40.350736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:51:41.058370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:51:41.664321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:51:42.164350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:51:42.931077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:51:40.498690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:51:41.190143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:51:41.769506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:51:42.280275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:51:43.036524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:51:40.618213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:51:41.294382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:51:41.862481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:51:42.393298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:51:43.204720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:51:40.771944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:51:41.423684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:51:41.965097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:51:42.523790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T20:51:51.026982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
고유 키값문화재종목시군구명종목코드시도코드지정해제여부문화재연계번호위도 ( 0일 경우 : 위치 값 없음 )
고유 키값1.0000.9520.4020.9380.2610.8470.9260.684
문화재종목0.9521.0000.4091.0000.2340.7071.0000.463
시군구명0.4020.4091.0000.4150.4640.4070.3900.271
종목코드0.9381.0000.4151.0000.2670.7271.0000.338
시도코드0.2610.2340.4640.2671.0000.1470.2610.000
지정해제여부0.8470.7070.4070.7270.1471.0000.6430.498
문화재연계번호0.9261.0000.3901.0000.2610.6431.0000.349
위도 ( 0일 경우 : 위치 값 없음 )0.6840.4630.2710.3380.0000.4980.3491.000
2024-03-13T20:51:51.199207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명문화재종목시도코드
시군구명1.0000.1480.415
문화재종목0.1481.0000.212
시도코드0.4150.2121.000
2024-03-13T20:51:51.324925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
고유 키값종목코드지정해제여부문화재연계번호위도 ( 0일 경우 : 위치 값 없음 )문화재종목시군구명시도코드
고유 키값1.0000.7290.3030.786-0.1640.7500.1680.200
종목코드0.7291.0000.0180.9770.0740.9960.2410.177
지정해제여부0.3030.0181.0000.137-0.0660.3520.1700.113
문화재연계번호0.7860.9770.1371.0000.0400.9970.1950.187
위도 ( 0일 경우 : 위치 값 없음 )-0.1640.074-0.0660.0401.0000.4220.2420.000
문화재종목0.7500.9960.3520.9970.4221.0000.1480.212
시군구명0.1680.2410.1700.1950.2420.1481.0000.415
시도코드0.2000.1770.1130.1870.0000.2120.4151.000

Missing values

2024-03-13T20:51:43.395375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T20:51:43.627371image/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.
2024-03-13T20:51:43.744615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

고유 키값문화재종목문화재명(국문)문화재명(한자)시도명시군구명관리자종목코드시도코드관리번호지정해제여부문화재연계번호위탁기관코드경도 ( 0일 경우 : 위치 값 없음 )위도 ( 0일 경우 : 위치 값 없음 )crltsnoNm
0251국보天安 奉先弘慶寺 碣記碑2023-12-12 11:25:26충남천안시천안시11N천안 봉선홍경사 갈기비70000111340007000034<NA>36.9431527
1252국보保寧 聖住寺址 大朗慧和尙塔碑2023-12-12 11:25:26충남보령시보령시11N보령 성주사지 대낭혜화상탑비80000111340008000034<NA>36.34478
2253국보扶餘 定林寺址 五層石塔2023-12-12 11:25:26충남부여군부여군11N부여 정림사지 오층석탑90000111340009000034<NA>36.2792979
3254국보禮山 修德寺 大雄殿2023-12-12 11:25:27충남예산군수덕사11N예산 수덕사 대웅전490000111340049000034<NA>36.66328549
4255국보靑陽 長谷寺 鐵造藥師如來坐像 및 石造臺座2023-12-12 11:25:27충남청양군장곡사11N청양 장곡사 철조약사여래좌상 및 석조대좌580000111340058000034<NA>36.41730658
5256국보李舜臣 亂中日記 및 書簡帖 壬辰狀草2023-12-12 11:25:27충남아산시현충사관리소11N이순신 난중일기 및 서간첩 임진장초760000111340076000034<NA>36.80654576
6257국보瑞山 龍賢里 磨崖如來三尊像2023-12-12 11:25:27충남서산시서산시11N서산 용현리 마애여래삼존상840000111340084000034<NA>36.77380684
7259국보武寧王 金製 冠飾2023-12-12 11:25:27충남공주시국립공주박물관11N무령왕 금제 관식1540000111340154000034<NA>36.4656154
8261국보武寧王 金製耳飾2023-12-12 11:25:27충남공주시국립공주박물관11N무령왕 금귀걸이1560000111340156000034<NA>36.4656156
9262국보武寧王妃 金製耳飾2023-12-12 11:25:28충남공주시국립공주박물관11N무령왕비 금귀걸이1570000111340157000034<NA>37.524041157
고유 키값문화재종목문화재명(국문)문화재명(한자)시도명시군구명관리자종목코드시도코드관리번호지정해제여부문화재연계번호위탁기관코드경도 ( 0일 경우 : 위치 값 없음 )위도 ( 0일 경우 : 위치 값 없음 )crltsnoNm
128820486국가등록문화재<NA>2022-07-13 15:55:01충남서천군서＊＊＊79N서천 판교 구 동일정미소8190100441340819010034<NA>0.0819-1
128920487국가등록문화재<NA>2022-07-13 15:55:01충남서천군서＊＊＊79N서천 판교 구 동일주조장8190200441340819020034<NA>0.0819-2
129020488국가등록문화재<NA>2022-06-30 13:30:15충남서천군서＊＊＊79N서천 판교 근대상가주택 18190300441340819030034<NA>0.0819-3
129120489국가등록문화재<NA>2022-06-30 13:30:15충남서천군서＊＊＊79N서천 판교 구 삼화정미소(오방앗간)8190400441340819040034<NA>0.0819-4
129220490국가등록문화재<NA>2022-07-13 17:25:02충남서천군서＊＊＊79N서천 판교 근대상가주택 28190500441340819050034<NA>0.0819-5
129320491국가등록문화재<NA>2022-06-30 13:30:15충남서천군서＊＊＊79N서천 판교 구 중대본부8190600441340819060034<NA>0.0819-6
129420492국가등록문화재<NA>2023-04-03 09:25:01충남서천군서＊＊＊79N서천 판교 구 판교극장8190700441340819070034<NA>0.0819-7
129520496국가등록문화재<NA>2022-06-30 13:30:15충남천안시독립기념관79N김지섭 의사 편지8210000441340821000034<NA>0.0821
129620792국가등록문화재<NA>2023-08-02 18:25:02충남아산시문＊＊＊79N일제강점기 이충무공 묘소 보존과 현충사 중건 민족성금 편지 및 자료8370000441340837000034<NA>0.0837
129721239국가등록문화재<NA>2023-12-14 12:25:02충남천안시독＊＊＊79N색동회 회록 및 어린이날 자료8500000441340850000034<NA>0.0850