Overview

Dataset statistics

Number of variables14
Number of observations606
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory67.6 KiB
Average record size in memory114.2 B

Variable types

Numeric1
Categorical5
Text7
DateTime1

Alerts

자료출처 has constant value ""Constant
공개여부 has constant value ""Constant
작성일 has constant value ""Constant
갱신주기 has constant value ""Constant

Reproduction

Analysis started2024-03-14 03:10:19.895890
Analysis finished2024-03-14 03:10:21.117077
Duration1.22 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

Distinct605
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean415.22937
Minimum1
Maximum826
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-03-14T12:10:21.192192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile33.25
Q1184.25
median389.5
Q3656.75
95-th percentile795.75
Maximum826
Range825
Interquartile range (IQR)472.5

Descriptive statistics

Standard deviation256.51569
Coefficient of variation (CV)0.61776865
Kurtosis-1.3609401
Mean415.22937
Median Absolute Deviation (MAD)234
Skewness0.010837827
Sum251629
Variance65800.299
MonotonicityIncreasing
2024-03-14T12:10:21.498434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104 2
 
0.3%
1 1
 
0.2%
580 1
 
0.2%
573 1
 
0.2%
574 1
 
0.2%
575 1
 
0.2%
576 1
 
0.2%
577 1
 
0.2%
579 1
 
0.2%
581 1
 
0.2%
Other values (595) 595
98.2%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
826 1
0.2%
825 1
0.2%
824 1
0.2%
823 1
0.2%
822 1
0.2%
821 1
0.2%
820 1
0.2%
819 1
0.2%
818 1
0.2%
817 1
0.2%

시군명
Categorical

Distinct14
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
남원시
79 
정읍시
70 
익산시
66 
고창군
64 
김제시
56 
Other values (9)
271 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row남원시
2nd row익산시
3rd row김제시
4th row전주시
5th row정읍시

Common Values

ValueCountFrequency (%)
남원시 79
13.0%
정읍시 70
11.6%
익산시 66
10.9%
고창군 64
10.6%
김제시 56
9.2%
전주시 40
 
6.6%
부안군 37
 
6.1%
군산시 30
 
5.0%
순창군 30
 
5.0%
진안군 30
 
5.0%
Other values (4) 104
17.2%

Length

2024-03-14T12:10:21.593721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
남원시 79
13.0%
정읍시 70
11.6%
익산시 66
10.9%
고창군 64
10.6%
김제시 56
9.2%
전주시 40
 
6.6%
부안군 37
 
6.1%
군산시 30
 
5.0%
순창군 30
 
5.0%
진안군 30
 
5.0%
Other values (4) 104
17.2%

종목
Text

Distinct605
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-03-14T12:10:21.818146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length13.018152
Min length7

Characters and Unicode

Total characters7889
Distinct characters43
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

Unique604 ?
Unique (%)99.7%

Sample

1st row국보 제10호
2nd row국보 제11호
3rd row국보 제62호
4th row국보 제123호
5th row국보 제232호
ValueCountFrequency (%)
전라북도 390
24.3%
유형문화재 152
 
9.5%
문화재자료 120
 
7.5%
기념물 86
 
5.4%
보물 80
 
5.0%
등록문화재 58
 
3.6%
천연기념물 27
 
1.7%
사적 24
 
1.5%
민속문화재 21
 
1.3%
중요민속문화재 13
 
0.8%
Other values (341) 631
39.4%
2024-03-14T12:10:22.215611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
997
 
12.6%
제 606
 
7.7%
호 606
 
7.7%
북 390
 
4.9%
전 390
 
4.9%
라 390
 
4.9%
도 390
 
4.9%
1 379
 
4.8%
문 375
 
4.8%
화 375
 
4.8%
Other values (33) 2991
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5302
67.2%
Decimal Number 1586
 
20.1%
Space Separator 997
 
12.6%
Dash Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 606
11.4%
호 606
11.4%
북 390
 
7.4%
전 390
 
7.4%
라 390
 
7.4%
도 390
 
7.4%
문 375
 
7.1%
화 375
 
7.1%
재 375
 
7.1%
물 193
 
3.6%
Other values (21) 1212
22.9%
Decimal Number
ValueCountFrequency (%)
1 379
23.9%
2 222
14.0%
3 150
 
9.5%
7 128
 
8.1%
8 126
 
7.9%
6 126
 
7.9%
4 123
 
7.8%
5 120
 
7.6%
9 110
 
6.9%
0 102
 
6.4%
Space Separator
ValueCountFrequency (%)
997
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5302
67.2%
Common 2587
32.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 606
11.4%
호 606
11.4%
북 390
 
7.4%
전 390
 
7.4%
라 390
 
7.4%
도 390
 
7.4%
문 375
 
7.1%
화 375
 
7.1%
재 375
 
7.1%
물 193
 
3.6%
Other values (21) 1212
22.9%
Common
ValueCountFrequency (%)
997
38.5%
1 379
 
14.7%
2 222
 
8.6%
3 150
 
5.8%
7 128
 
4.9%
8 126
 
4.9%
6 126
 
4.9%
4 123
 
4.8%
5 120
 
4.6%
9 110
 
4.3%
Other values (2) 106
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5302
67.2%
ASCII 2587
32.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
997
38.5%
1 379
 
14.7%
2 222
 
8.6%
3 150
 
5.8%
7 128
 
4.9%
8 126
 
4.9%
6 126
 
4.9%
4 123
 
4.8%
5 120
 
4.6%
9 110
 
4.3%
Other values (2) 106
 
4.1%
Hangul
ValueCountFrequency (%)
제 606
11.4%
호 606
11.4%
북 390
 
7.4%
전 390
 
7.4%
라 390
 
7.4%
도 390
 
7.4%
문 375
 
7.1%
화 375
 
7.1%
재 375
 
7.1%
물 193
 
3.6%
Other values (21) 1212
22.9%

한글명칭
Text

Distinct603
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-03-14T12:10:22.497689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length22
Mean length8.3993399
Min length2

Characters and Unicode

Total characters5090
Distinct characters356
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique600 ?
Unique (%)99.0%

Sample

1st row남원 실상사 백장암 삼층석탑
2nd row익산 미륵사지 석탑
3rd row김제 금산사 미륵전
4th row익산 왕궁리 오층석탑 사리장엄구
5th row이화 개국공신녹권
ValueCountFrequency (%)
남원 26
 
2.4%
김제 25
 
2.3%
익산 23
 
2.1%
구 23
 
2.1%
고창 20
 
1.9%
정읍 16
 
1.5%
군산 14
 
1.3%
금산사 13
 
1.2%
실상사 11
 
1.0%
부안 9
 
0.8%
Other values (735) 901
83.3%
2024-03-14T12:10:22.860308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
475
 
9.3%
사 223
 
4.4%
산 132
 
2.6%
상 104
 
2.0%
석 95
 
1.9%
리 91
 
1.8%
원 85
 
1.7%
전 84
 
1.7%
정 77
 
1.5%
고 77
 
1.5%
Other values (346) 3647
71.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4543
89.3%
Space Separator 475
 
9.3%
Open Punctuation 27
 
0.5%
Close Punctuation 24
 
0.5%
Decimal Number 13
 
0.3%
Other Punctuation 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 223
 
4.9%
산 132
 
2.9%
상 104
 
2.3%
석 95
 
2.1%
리 91
 
2.0%
원 85
 
1.9%
전 84
 
1.8%
정 77
 
1.7%
고 77
 
1.7%
지 73
 
1.6%
Other values (332) 3502
77.1%
Decimal Number
ValueCountFrequency (%)
1 6
46.2%
5 2
 
15.4%
6 2
 
15.4%
8 1
 
7.7%
9 1
 
7.7%
2 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 4
50.0%
· 3
37.5%
. 1
 
12.5%
Open Punctuation
ValueCountFrequency (%)
( 22
81.5%
『 5
 
18.5%
Close Punctuation
ValueCountFrequency (%)
) 20
83.3%
』 4
 
16.7%
Space Separator
ValueCountFrequency (%)
475
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4521
88.8%
Common 547
 
10.7%
Han 22
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 223
 
4.9%
산 132
 
2.9%
상 104
 
2.3%
석 95
 
2.1%
리 91
 
2.0%
원 85
 
1.9%
전 84
 
1.9%
정 77
 
1.7%
고 77
 
1.7%
지 73
 
1.6%
Other values (314) 3480
77.0%
Han
ValueCountFrequency (%)
譯 2
 
9.1%
鮮 2
 
9.1%
經 2
 
9.1%
大 2
 
9.1%
博 1
 
4.5%
屋 1
 
4.5%
多 1
 
4.5%
廣 1
 
4.5%
佛 1
 
4.5%
新 1
 
4.5%
Other values (8) 8
36.4%
Common
ValueCountFrequency (%)
475
86.8%
( 22
 
4.0%
) 20
 
3.7%
1 6
 
1.1%
『 5
 
0.9%
』 4
 
0.7%
, 4
 
0.7%
· 3
 
0.5%
5 2
 
0.4%
6 2
 
0.4%
Other values (4) 4
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4520
88.8%
ASCII 535
 
10.5%
CJK 22
 
0.4%
None 12
 
0.2%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
475
88.8%
( 22
 
4.1%
) 20
 
3.7%
1 6
 
1.1%
, 4
 
0.7%
5 2
 
0.4%
6 2
 
0.4%
8 1
 
0.2%
. 1
 
0.2%
9 1
 
0.2%
Hangul
ValueCountFrequency (%)
사 223
 
4.9%
산 132
 
2.9%
상 104
 
2.3%
석 95
 
2.1%
리 91
 
2.0%
원 85
 
1.9%
전 84
 
1.9%
정 77
 
1.7%
고 77
 
1.7%
지 73
 
1.6%
Other values (313) 3479
77.0%
None
ValueCountFrequency (%)
『 5
41.7%
』 4
33.3%
· 3
25.0%
CJK
ValueCountFrequency (%)
譯 2
 
9.1%
鮮 2
 
9.1%
經 2
 
9.1%
大 2
 
9.1%
博 1
 
4.5%
屋 1
 
4.5%
多 1
 
4.5%
廣 1
 
4.5%
佛 1
 
4.5%
新 1
 
4.5%
Other values (8) 8
36.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

한자명칭
Text

Distinct546
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-03-14T12:10:23.089420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21
Mean length7.1633663
Min length1

Characters and Unicode

Total characters4341
Distinct characters790
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique543 ?
Unique (%)89.6%

Sample

1st row南原 實相寺 百丈庵 三層石塔
2nd row益山 彌勒寺址 石塔
3rd row金堤 金山寺 彌勒殿
4th row益山 王宮里 五層石塔 舍利莊嚴具
5th row李和 開國功臣錄券
ValueCountFrequency (%)
59
 
6.3%
南原 26
 
2.8%
高敞 20
 
2.1%
益山 16
 
1.7%
金堤 15
 
1.6%
金山寺 12
 
1.3%
實相寺 11
 
1.2%
禪雲寺 11
 
1.2%
井邑 9
 
1.0%
扶安 8
 
0.9%
Other values (648) 754
80.1%
2024-03-14T12:10:23.420953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
335
 
7.7%
寺 158
 
3.6%
山 102
 
2.3%
石 83
 
1.9%
像 75
 
1.7%
里 73
 
1.7%
- 59
 
1.4%
殿 57
 
1.3%
大 54
 
1.2%
佛 47
 
1.1%
Other values (780) 3298
76.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3923
90.4%
Space Separator 335
 
7.7%
Dash Punctuation 59
 
1.4%
Close Punctuation 8
 
0.2%
Open Punctuation 7
 
0.2%
Other Punctuation 7
 
0.2%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
寺 158
 
4.0%
山 102
 
2.6%
石 83
 
2.1%
像 75
 
1.9%
里 73
 
1.9%
殿 57
 
1.5%
大 54
 
1.4%
佛 47
 
1.2%
南 44
 
1.1%
金 42
 
1.1%
Other values (771) 3188
81.3%
Other Punctuation
ValueCountFrequency (%)
, 4
57.1%
· 2
28.6%
. 1
 
14.3%
Decimal Number
ValueCountFrequency (%)
6 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
335
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Han 3632
83.7%
Common 418
 
9.6%
Hangul 291
 
6.7%

Most frequent character per script

Han
ValueCountFrequency (%)
寺 158
 
4.4%
山 102
 
2.8%
石 83
 
2.3%
像 75
 
2.1%
里 73
 
2.0%
殿 57
 
1.6%
大 54
 
1.5%
佛 47
 
1.3%
南 44
 
1.2%
金 42
 
1.2%
Other values (646) 2897
79.8%
Hangul
ValueCountFrequency (%)
나 30
 
10.3%
무 28
 
9.6%
및 13
 
4.5%
의 11
 
3.8%
리 7
 
2.4%
산 6
 
2.1%
은 5
 
1.7%
이 5
 
1.7%
티 5
 
1.7%
사 5
 
1.7%
Other values (115) 176
60.5%
Common
ValueCountFrequency (%)
335
80.1%
- 59
 
14.1%
) 8
 
1.9%
( 7
 
1.7%
, 4
 
1.0%
· 2
 
0.5%
6 1
 
0.2%
1 1
 
0.2%
. 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
CJK 3471
80.0%
ASCII 416
 
9.6%
Hangul 290
 
6.7%
CJK Compat Ideographs 161
 
3.7%
None 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
335
80.5%
- 59
 
14.2%
) 8
 
1.9%
( 7
 
1.7%
, 4
 
1.0%
6 1
 
0.2%
1 1
 
0.2%
. 1
 
0.2%
CJK
ValueCountFrequency (%)
寺 158
 
4.6%
山 102
 
2.9%
石 83
 
2.4%
像 75
 
2.2%
里 73
 
2.1%
殿 57
 
1.6%
大 54
 
1.6%
佛 47
 
1.4%
南 44
 
1.3%
原 37
 
1.1%
Other values (610) 2741
79.0%
CJK Compat Ideographs
ValueCountFrequency (%)
金 42
26.1%
李 20
12.4%
立 19
11.8%
龍 13
 
8.1%
靈 7
 
4.3%
六 5
 
3.1%
羅 5
 
3.1%
來 5
 
3.1%
樂 5
 
3.1%
礪 4
 
2.5%
Other values (26) 36
22.4%
Hangul
ValueCountFrequency (%)
나 30
 
10.3%
무 28
 
9.7%
및 13
 
4.5%
의 11
 
3.8%
리 7
 
2.4%
산 6
 
2.1%
은 5
 
1.7%
이 5
 
1.7%
티 5
 
1.7%
사 5
 
1.7%
Other values (114) 175
60.3%
None
ValueCountFrequency (%)
· 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

도로명주소
Text

Distinct279
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-03-14T12:10:23.630781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length9.8217822
Min length1

Characters and Unicode

Total characters5952
Distinct characters200
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

Unique235 ?
Unique (%)38.8%

Sample

1st row-
2nd row-
3rd row김제시 금산면 모악15길 1
4th row전주시 완산구 쑥고개로 249
5th row정읍시 연지시장2길 9
ValueCountFrequency (%)
230
 
13.9%
정읍시 44
 
2.7%
익산시 41
 
2.5%
남원시 40
 
2.4%
김제시 38
 
2.3%
고창군 34
 
2.1%
군산시 27
 
1.6%
전주시 25
 
1.5%
부안군 22
 
1.3%
장수군 21
 
1.3%
Other values (577) 1134
68.5%
2024-03-14T12:10:23.957046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1050
 
17.6%
- 355
 
6.0%
1 240
 
4.0%
길 238
 
4.0%
면 231
 
3.9%
시 218
 
3.7%
산 215
 
3.6%
군 191
 
3.2%
2 187
 
3.1%
4 145
 
2.4%
Other values (190) 2882
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3318
55.7%
Decimal Number 1229
 
20.6%
Space Separator 1050
 
17.6%
Dash Punctuation 355
 
6.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
길 238
 
7.2%
면 231
 
7.0%
시 218
 
6.6%
산 215
 
6.5%
군 191
 
5.8%
로 130
 
3.9%
읍 88
 
2.7%
주 74
 
2.2%
창 67
 
2.0%
고 62
 
1.9%
Other values (178) 1804
54.4%
Decimal Number
ValueCountFrequency (%)
1 240
19.5%
2 187
15.2%
4 145
11.8%
3 141
11.5%
5 125
10.2%
0 88
 
7.2%
6 82
 
6.7%
7 82
 
6.7%
9 76
 
6.2%
8 63
 
5.1%
Space Separator
ValueCountFrequency (%)
1050
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 355
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3318
55.7%
Common 2634
44.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
길 238
 
7.2%
면 231
 
7.0%
시 218
 
6.6%
산 215
 
6.5%
군 191
 
5.8%
로 130
 
3.9%
읍 88
 
2.7%
주 74
 
2.2%
창 67
 
2.0%
고 62
 
1.9%
Other values (178) 1804
54.4%
Common
ValueCountFrequency (%)
1050
39.9%
- 355
 
13.5%
1 240
 
9.1%
2 187
 
7.1%
4 145
 
5.5%
3 141
 
5.4%
5 125
 
4.7%
0 88
 
3.3%
6 82
 
3.1%
7 82
 
3.1%
Other values (2) 139
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3318
55.7%
ASCII 2634
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1050
39.9%
- 355
 
13.5%
1 240
 
9.1%
2 187
 
7.1%
4 145
 
5.5%
3 141
 
5.4%
5 125
 
4.7%
0 88
 
3.3%
6 82
 
3.1%
7 82
 
3.1%
Other values (2) 139
 
5.3%
Hangul
ValueCountFrequency (%)
길 238
 
7.2%
면 231
 
7.0%
시 218
 
6.6%
산 215
 
6.5%
군 191
 
5.8%
로 130
 
3.9%
읍 88
 
2.7%
주 74
 
2.2%
창 67
 
2.0%
고 62
 
1.9%
Other values (178) 1804
54.4%

지번주소
Text

Distinct502
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-03-14T12:10:24.250097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length15.344884
Min length9

Characters and Unicode

Total characters9299
Distinct characters202
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

Unique456 ?
Unique (%)75.2%

Sample

1st row남원시 산내면 대정리 975
2nd row익산시 금마면 기양리 97
3rd row김제시 금산면 금산리 28-4
4th row전주시 완산구 효자동2가 900
5th row정읍시 연지동 28-5
ValueCountFrequency (%)
남원시 79
 
3.4%
정읍시 70
 
3.0%
익산시 66
 
2.8%
고창군 64
 
2.7%
김제시 56
 
2.4%
전주시 41
 
1.7%
부안군 37
 
1.6%
진안군 30
 
1.3%
순창군 30
 
1.3%
군산시 30
 
1.3%
Other values (909) 1841
78.5%
2024-03-14T12:10:24.810152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1738
 
18.7%
리 486
 
5.2%
산 430
 
4.6%
면 422
 
4.5%
1 393
 
4.2%
시 347
 
3.7%
군 295
 
3.2%
- 281
 
3.0%
2 251
 
2.7%
4 219
 
2.4%
Other values (192) 4437
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5350
57.5%
Decimal Number 1930
 
20.8%
Space Separator 1738
 
18.7%
Dash Punctuation 281
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 486
 
9.1%
산 430
 
8.0%
면 422
 
7.9%
시 347
 
6.5%
군 295
 
5.5%
동 170
 
3.2%
읍 143
 
2.7%
창 131
 
2.4%
주 125
 
2.3%
고 108
 
2.0%
Other values (180) 2693
50.3%
Decimal Number
ValueCountFrequency (%)
1 393
20.4%
2 251
13.0%
4 219
11.3%
3 203
10.5%
5 171
8.9%
0 158
8.2%
6 143
 
7.4%
8 137
 
7.1%
9 128
 
6.6%
7 127
 
6.6%
Space Separator
ValueCountFrequency (%)
1738
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 281
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5350
57.5%
Common 3949
42.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 486
 
9.1%
산 430
 
8.0%
면 422
 
7.9%
시 347
 
6.5%
군 295
 
5.5%
동 170
 
3.2%
읍 143
 
2.7%
창 131
 
2.4%
주 125
 
2.3%
고 108
 
2.0%
Other values (180) 2693
50.3%
Common
ValueCountFrequency (%)
1738
44.0%
1 393
 
10.0%
- 281
 
7.1%
2 251
 
6.4%
4 219
 
5.5%
3 203
 
5.1%
5 171
 
4.3%
0 158
 
4.0%
6 143
 
3.6%
8 137
 
3.5%
Other values (2) 255
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5350
57.5%
ASCII 3949
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1738
44.0%
1 393
 
10.0%
- 281
 
7.1%
2 251
 
6.4%
4 219
 
5.5%
3 203
 
5.1%
5 171
 
4.3%
0 158
 
4.0%
6 143
 
3.6%
8 137
 
3.5%
Other values (2) 255
 
6.5%
Hangul
ValueCountFrequency (%)
리 486
 
9.1%
산 430
 
8.0%
면 422
 
7.9%
시 347
 
6.5%
군 295
 
5.5%
동 170
 
3.2%
읍 143
 
2.7%
창 131
 
2.4%
주 125
 
2.3%
고 108
 
2.0%
Other values (180) 2693
50.3%

관리자
Text

Distinct249
Distinct (%)41.1%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-03-14T12:10:25.027032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length3
Mean length3.4570957
Min length1

Characters and Unicode

Total characters2095
Distinct characters216
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

Unique195 ?
Unique (%)32.2%

Sample

1st row백장암
2nd row익산시
3rd row금산사
4th row국립전주박물관
5th row이종섭
ValueCountFrequency (%)
110
 
17.9%
정읍시 26
 
4.2%
고창군 22
 
3.6%
남원시 20
 
3.3%
익산시 16
 
2.6%
선운사 15
 
2.4%
부안군 15
 
2.4%
향교재단 14
 
2.3%
금산사 13
 
2.1%
실상사 9
 
1.5%
Other values (247) 354
57.7%
2024-03-14T12:10:25.376359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 155
 
7.4%
- 112
 
5.3%
시 85
 
4.1%
군 81
 
3.9%
산 54
 
2.6%
주 52
 
2.5%
원 48
 
2.3%
정 44
 
2.1%
교 41
 
2.0%
김 37
 
1.8%
Other values (206) 1386
66.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1931
92.2%
Dash Punctuation 112
 
5.3%
Open Punctuation 15
 
0.7%
Close Punctuation 14
 
0.7%
Decimal Number 11
 
0.5%
Space Separator 8
 
0.4%
Other Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 155
 
8.0%
시 85
 
4.4%
군 81
 
4.2%
산 54
 
2.8%
주 52
 
2.7%
원 48
 
2.5%
정 44
 
2.3%
교 41
 
2.1%
김 37
 
1.9%
종 37
 
1.9%
Other values (195) 1297
67.2%
Decimal Number
ValueCountFrequency (%)
3 4
36.4%
2 3
27.3%
9 1
 
9.1%
7 1
 
9.1%
0 1
 
9.1%
1 1
 
9.1%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1931
92.2%
Common 164
 
7.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 155
 
8.0%
시 85
 
4.4%
군 81
 
4.2%
산 54
 
2.8%
주 52
 
2.7%
원 48
 
2.5%
정 44
 
2.3%
교 41
 
2.1%
김 37
 
1.9%
종 37
 
1.9%
Other values (195) 1297
67.2%
Common
ValueCountFrequency (%)
- 112
68.3%
( 15
 
9.1%
) 14
 
8.5%
8
 
4.9%
3 4
 
2.4%
, 4
 
2.4%
2 3
 
1.8%
9 1
 
0.6%
7 1
 
0.6%
0 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1931
92.2%
ASCII 164
 
7.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 155
 
8.0%
시 85
 
4.4%
군 81
 
4.2%
산 54
 
2.8%
주 52
 
2.7%
원 48
 
2.5%
정 44
 
2.3%
교 41
 
2.1%
김 37
 
1.9%
종 37
 
1.9%
Other values (195) 1297
67.2%
ASCII
ValueCountFrequency (%)
- 112
68.3%
( 15
 
9.1%
) 14
 
8.5%
8
 
4.9%
3 4
 
2.4%
, 4
 
2.4%
2 3
 
1.8%
9 1
 
0.6%
7 1
 
0.6%
0 1
 
0.6%

소유자
Text

Distinct113
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-03-14T12:10:25.581103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length1
Mean length1.9636964
Min length1

Characters and Unicode

Total characters1190
Distinct characters169
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

Unique88 ?
Unique (%)14.5%

Sample

1st row백장암
2nd row국유
3rd row금산사
4th row국유
5th row이종섭
ValueCountFrequency (%)
413
63.8%
국유 32
 
4.9%
금산사 12
 
1.9%
실상사 8
 
1.2%
선운사 8
 
1.2%
외 7
 
1.1%
죽림정사 4
 
0.6%
화암사 3
 
0.5%
내소사 3
 
0.5%
전라북도교 3
 
0.5%
Other values (136) 154
 
23.8%
2024-03-14T12:10:25.900362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 415
34.9%
사 64
 
5.4%
국 44
 
3.7%
41
 
3.4%
유 37
 
3.1%
산 25
 
2.1%
교 15
 
1.3%
금 12
 
1.0%
실 12
 
1.0%
군 12
 
1.0%
Other values (159) 513
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 688
57.8%
Dash Punctuation 415
34.9%
Space Separator 41
 
3.4%
Decimal Number 33
 
2.8%
Open Punctuation 6
 
0.5%
Close Punctuation 5
 
0.4%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 64
 
9.3%
국 44
 
6.4%
유 37
 
5.4%
산 25
 
3.6%
교 15
 
2.2%
금 12
 
1.7%
실 12
 
1.7%
군 12
 
1.7%
암 12
 
1.7%
김 11
 
1.6%
Other values (145) 444
64.5%
Decimal Number
ValueCountFrequency (%)
2 8
24.2%
3 7
21.2%
1 4
12.1%
6 3
 
9.1%
0 3
 
9.1%
4 3
 
9.1%
9 2
 
6.1%
8 2
 
6.1%
5 1
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 415
100.0%
Space Separator
ValueCountFrequency (%)
41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 688
57.8%
Common 502
42.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 64
 
9.3%
국 44
 
6.4%
유 37
 
5.4%
산 25
 
3.6%
교 15
 
2.2%
금 12
 
1.7%
실 12
 
1.7%
군 12
 
1.7%
암 12
 
1.7%
김 11
 
1.6%
Other values (145) 444
64.5%
Common
ValueCountFrequency (%)
- 415
82.7%
41
 
8.2%
2 8
 
1.6%
3 7
 
1.4%
( 6
 
1.2%
) 5
 
1.0%
1 4
 
0.8%
6 3
 
0.6%
0 3
 
0.6%
4 3
 
0.6%
Other values (4) 7
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 688
57.8%
ASCII 502
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 415
82.7%
41
 
8.2%
2 8
 
1.6%
3 7
 
1.4%
( 6
 
1.2%
) 5
 
1.0%
1 4
 
0.8%
6 3
 
0.6%
0 3
 
0.6%
4 3
 
0.6%
Other values (4) 7
 
1.4%
Hangul
ValueCountFrequency (%)
사 64
 
9.3%
국 44
 
6.4%
유 37
 
5.4%
산 25
 
3.6%
교 15
 
2.2%
금 12
 
1.7%
실 12
 
1.7%
군 12
 
1.7%
암 12
 
1.7%
김 11
 
1.6%
Other values (145) 444
64.5%

지정일
Date

Distinct176
Distinct (%)29.0%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
Minimum1962-12-07 00:00:00
Maximum2015-04-22 00:00:00
2024-03-14T12:10:26.014021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T12:10:26.130180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
문화예술과
606 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
문화예술과 606
100.0%

Length

2024-03-14T12:10:26.247281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:10:26.323635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문화예술과 606
100.0%

공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
공개
606 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공개 606
100.0%

Length

2024-03-14T12:10:26.420060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:10:26.495860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 606
100.0%

작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2015.1
606 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015.1
2nd row2015.1
3rd row2015.1
4th row2015.1
5th row2015.1

Common Values

ValueCountFrequency (%)
2015.1 606
100.0%

Length

2024-03-14T12:10:26.570450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:10:26.679567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015.1 606
100.0%

갱신주기
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
1년
606 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1년
2nd row1년
3rd row1년
4th row1년
5th row1년

Common Values

ValueCountFrequency (%)
1년 606
100.0%

Length

2024-03-14T12:10:26.800281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:10:26.877311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1년 606
100.0%

Interactions

2024-03-14T12:10:20.767145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T12:10:26.925545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명
순번1.0000.332
시군명0.3321.000
2024-03-14T12:10:26.995176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명
순번1.0000.140
시군명0.1401.000

Missing values

2024-03-14T12:10:20.894868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T12:10:21.052234image/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

순번시군명종목한글명칭한자명칭도로명주소지번주소관리자소유자지정일자료출처공개여부작성일갱신주기
01남원시국보 제10호남원 실상사 백장암 삼층석탑南原 實相寺 百丈庵 三層石塔-남원시 산내면 대정리 975백장암백장암1962-12-20문화예술과공개2015.11년
12익산시국보 제11호익산 미륵사지 석탑益山 彌勒寺址 石塔-익산시 금마면 기양리 97익산시국유1962-12-20문화예술과공개2015.11년
23김제시국보 제62호김제 금산사 미륵전金堤 金山寺 彌勒殿김제시 금산면 모악15길 1김제시 금산면 금산리 28-4금산사금산사1962-12-20문화예술과공개2015.11년
34전주시국보 제123호익산 왕궁리 오층석탑 사리장엄구益山 王宮里 五層石塔 舍利莊嚴具전주시 완산구 쑥고개로 249전주시 완산구 효자동2가 900국립전주박물관국유1966-07-26문화예술과공개2015.11년
45정읍시국보 제232호이화 개국공신녹권李和 開國功臣錄券정읍시 연지시장2길 9정읍시 연지동 28-5이종섭이종섭1986-10-15문화예술과공개2015.11년
56익산시국보 제289호익산 왕궁리 오층석탑益山 王宮里 五層石塔-익산시 왕궁면 왕궁리 산80-1익산시국유1997-01-01문화예술과공개2015.11년
67완주군국보 제316호완주 화암사 극락전完州 花巖寺 極樂殿-완주군 경천면 가천리 1078화암사화암사2011-11-28문화예술과공개2015.11년
78전주시국보 제317호조선태조어진朝鮮太祖御眞전주시 완산구 태조로 44전주시 완산구 풍남동3가 91-5어진박물관국유2012-06-29문화예술과공개2015.11년
89김제시보물 제22호김제 금산사 노주金堤 金山寺 露柱김제시 금산면 모악15길 1김제시 금산면 금산리 28-4금산사금산사1963-01-21문화예술과공개2015.11년
910김제시보물 제23호김제 금산사 석련대金堤 金山寺 石蓮臺김제시 금산면 모악15길 1김제시 금산면 금산리 28-4금산사금산사1963-01-21문화예술과공개2015.11년
순번시군명종목한글명칭한자명칭도로명주소지번주소관리자소유자지정일자료출처공개여부작성일갱신주기
596817임실군등록문화재 제596호임실 운암망루--임실군 운암면 운암리 640-8-국(국토교암면 운암리 640-82014-09-01문화예술과공개2015.11년
597818군산시등록문화재 제600호구 조선식량영단 군산출장소-군산시 구영2길 39군산시 영화동 14-2--2014-09-01문화예술과공개2015.11년
598819김제시등록문화재 제619호김제 금산사 석고미륵여래입상--김제시 금산면 금산리 39금산사금산사2014-10-29문화예술과공개2015.11년
599820완주군등록문화재 제625호완주 화암사 괘불도-완주군 경천면 화암사길 271완주군 경천면 가천리 1078화암사화암사2014-10-29문화예술과공개2015.11년
600821진안군등록문화재 제626호진안 천황사 괘불도-진안군 정천면 수암길 54진안군 정천면 갈용리 1428천황사천황사2014-10-29문화예술과공개2015.11년
601822장수군등록문화재 제629호백용성 역 『조선글화엄경』-장수군 죽림2길 31장수군 번암면 죽림리 254죽림정사죽림정사2014-10-29문화예술과공개2015.11년
602823장수군등록문화재 제630호백용성 역『선한역 대방광불화엄경(鮮漢譯 大方廣佛華-장수군 죽림2길 31장수군 번암면 죽림리 254죽림정사죽림정사2014-10-29문화예술과공개2015.11년
603824장수군등록문화재 제631호백용성 역『신역대장경(新譯大藏經)』(금강마하반야바-장수군 죽림2길 31장수군 번암면 죽림리 254죽림정사죽림정사2014-10-29문화예술과공개2015.11년
604825장수군등록문화재 제632호백용성 역 『조선어능엄경(朝鮮語楞嚴經)』-장수군 죽림2길 31장수군 번암면 죽림리 254죽림정사죽림정사2014-10-29문화예술과공개2015.11년
605826익산시등록문화재 제646호백용성 역 한글본『신역대장경』(금강경강의)-익산시 익산대로 460익산시 신동 272원광대학교원광대학교2014-12-26문화예술과공개2015.11년