Overview

Dataset statistics

Number of variables21
Number of observations2575
Missing cells5635
Missing cells (%)10.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory450.3 KiB
Average record size in memory179.1 B

Variable types

Text8
Categorical4
Numeric9

Dataset

Description지역기반 관광정보 조회
Author충청남도
URLhttps://alldam.chungnam.go.kr/bigdata/collect/view.chungnam?menuCd=DOM_000000201001001000&apiIdx=2692

Alerts

지역코드 has constant value ""Constant
주소 has 83 (3.2%) missing valuesMissing
상세주소 has 2106 (81.8%) missing valuesMissing
대표이미지(원본) has 593 (23.0%) missing valuesMissing
대표이미지(썸네일) has 593 (23.0%) missing valuesMissing
Map Level has 72 (2.8%) missing valuesMissing
전화번호 has 2066 (80.2%) missing valuesMissing
우편번호 has 116 (4.5%) missing valuesMissing
GPS X좌표 is highly skewed (γ1 = -20.55521773)Skewed
콘텐츠ID has unique valuesUnique
수정일 has unique valuesUnique
조회수 has 379 (14.7%) zerosZeros

Reproduction

Analysis started2024-01-09 20:30:24.529551
Analysis finished2024-01-09 20:30:25.714095
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

제목
Text

Distinct2567
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
2024-01-10T05:30:25.904959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length34
Mean length7.8605825
Min length2

Characters and Unicode

Total characters20241
Distinct characters797
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2559 ?
Unique (%)99.4%

Sample

1st row팔괘정
2nd row서산해미읍성축제
3rd row이종일선생생가지
4th row금산국민여가오토캠핑장
5th row몽산포오토캠핑장
ValueCountFrequency (%)
롯데부여 34
 
0.8%
아산 28
 
0.7%
quality 23
 
0.6%
품질인증/korea 23
 
0.6%
부여 20
 
0.5%
천안 18
 
0.4%
태안 18
 
0.4%
공주 17
 
0.4%
서천 16
 
0.4%
보령 14
 
0.3%
Other values (3288) 3791
94.7%
2024-01-10T05:30:26.301970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1428
 
7.1%
산 470
 
2.3%
장 420
 
2.1%
리 281
 
1.4%
수 260
 
1.3%
마 255
 
1.3%
천 244
 
1.2%
이 227
 
1.1%
사 216
 
1.1%
원 213
 
1.1%
Other values (787) 16227
80.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17478
86.3%
Space Separator 1428
 
7.1%
Lowercase Letter 266
 
1.3%
Close Punctuation 244
 
1.2%
Open Punctuation 243
 
1.2%
Decimal Number 224
 
1.1%
Other Punctuation 170
 
0.8%
Uppercase Letter 160
 
0.8%
Connector Punctuation 10
 
< 0.1%
Math Symbol 9
 
< 0.1%
Other values (4) 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 470
 
2.7%
장 420
 
2.4%
리 281
 
1.6%
수 260
 
1.5%
마 255
 
1.5%
천 244
 
1.4%
이 227
 
1.3%
사 216
 
1.2%
원 213
 
1.2%
안 201
 
1.2%
Other values (714) 14691
84.1%
Uppercase Letter
ValueCountFrequency (%)
K 31
19.4%
C 25
15.6%
Q 23
14.4%
S 8
 
5.0%
B 8
 
5.0%
A 7
 
4.4%
F 6
 
3.8%
O 6
 
3.8%
J 5
 
3.1%
T 5
 
3.1%
Other values (13) 36
22.5%
Lowercase Letter
ValueCountFrequency (%)
a 50
18.8%
i 28
10.5%
e 27
10.2%
t 25
9.4%
o 25
9.4%
l 25
9.4%
r 24
9.0%
y 23
8.6%
u 23
8.6%
s 3
 
1.1%
Other values (7) 13
 
4.9%
Decimal Number
ValueCountFrequency (%)
4 76
33.9%
2 31
13.8%
1 29
 
12.9%
5 21
 
9.4%
0 19
 
8.5%
3 13
 
5.8%
9 12
 
5.4%
6 10
 
4.5%
7 9
 
4.0%
8 4
 
1.8%
Other Punctuation
ValueCountFrequency (%)
& 46
27.1%
; 33
19.4%
# 33
19.4%
/ 32
18.8%
' 9
 
5.3%
· 6
 
3.5%
! 5
 
2.9%
. 4
 
2.4%
* 1
 
0.6%
? 1
 
0.6%
Math Symbol
ValueCountFrequency (%)
~ 5
55.6%
> 2
 
22.2%
< 2
 
22.2%
Close Punctuation
ValueCountFrequency (%)
) 195
79.9%
] 49
 
20.1%
Open Punctuation
ValueCountFrequency (%)
( 194
79.8%
[ 49
 
20.2%
Space Separator
ValueCountFrequency (%)
1428
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17477
86.3%
Common 2336
 
11.5%
Latin 426
 
2.1%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 470
 
2.7%
장 420
 
2.4%
리 281
 
1.6%
수 260
 
1.5%
마 255
 
1.5%
천 244
 
1.4%
이 227
 
1.3%
사 216
 
1.2%
원 213
 
1.2%
안 201
 
1.2%
Other values (713) 14690
84.1%
Latin
ValueCountFrequency (%)
a 50
 
11.7%
K 31
 
7.3%
i 28
 
6.6%
e 27
 
6.3%
t 25
 
5.9%
C 25
 
5.9%
o 25
 
5.9%
l 25
 
5.9%
r 24
 
5.6%
Q 23
 
5.4%
Other values (30) 143
33.6%
Common
ValueCountFrequency (%)
1428
61.1%
) 195
 
8.3%
( 194
 
8.3%
4 76
 
3.3%
[ 49
 
2.1%
] 49
 
2.1%
& 46
 
2.0%
; 33
 
1.4%
# 33
 
1.4%
/ 32
 
1.4%
Other values (22) 201
 
8.6%
Han
ValueCountFrequency (%)
多 1
50.0%
軍 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17476
86.3%
ASCII 2752
 
13.6%
None 7
 
< 0.1%
Punctuation 4
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1428
51.9%
) 195
 
7.1%
( 194
 
7.0%
4 76
 
2.8%
a 50
 
1.8%
[ 49
 
1.8%
] 49
 
1.8%
& 46
 
1.7%
; 33
 
1.2%
# 33
 
1.2%
Other values (59) 599
21.8%
Hangul
ValueCountFrequency (%)
산 470
 
2.7%
장 420
 
2.4%
리 281
 
1.6%
수 260
 
1.5%
마 255
 
1.5%
천 244
 
1.4%
이 227
 
1.3%
사 216
 
1.2%
원 213
 
1.2%
안 201
 
1.2%
Other values (712) 14689
84.1%
None
ValueCountFrequency (%)
· 6
85.7%
㈜ 1
 
14.3%
Punctuation
ValueCountFrequency (%)
’ 2
50.0%
‘ 2
50.0%
CJK
ValueCountFrequency (%)
多 1
50.0%
軍 1
50.0%

주소
Text

MISSING 

Distinct2237
Distinct (%)89.8%
Missing83
Missing (%)3.2%
Memory size20.2 KiB
2024-01-10T05:30:26.649696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length41
Mean length20.607544
Min length8

Characters and Unicode

Total characters51354
Distinct characters428
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2077 ?
Unique (%)83.3%

Sample

1st row충청남도 논산시 강경읍
2nd row충청남도 서산시 남문2로 143 해미읍성
3rd row충청남도 태안군 원북면 옥파로 199-7
4th row충청남도 금산군 제원면 닥실길 16
5th row충청남도 태안군 남면 몽산포길 65-24
ValueCountFrequency (%)
충청남도 2458
 
20.9%
태안군 396
 
3.4%
천안시 333
 
2.8%
공주시 233
 
2.0%
아산시 229
 
1.9%
부여군 215
 
1.8%
동남구 187
 
1.6%
보령시 181
 
1.5%
서산시 147
 
1.3%
서북구 142
 
1.2%
Other values (2822) 7235
61.5%
2024-01-10T05:30:27.158405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9268
 
18.0%
남 2888
 
5.6%
충 2574
 
5.0%
청 2574
 
5.0%
도 2551
 
5.0%
1 1633
 
3.2%
시 1437
 
2.8%
면 1300
 
2.5%
길 1206
 
2.3%
로 1184
 
2.3%
Other values (418) 24739
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33265
64.8%
Space Separator 9268
 
18.0%
Decimal Number 7868
 
15.3%
Dash Punctuation 808
 
1.6%
Other Punctuation 49
 
0.1%
Open Punctuation 45
 
0.1%
Close Punctuation 44
 
0.1%
Uppercase Letter 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 2888
 
8.7%
충 2574
 
7.7%
청 2574
 
7.7%
도 2551
 
7.7%
시 1437
 
4.3%
면 1300
 
3.9%
길 1206
 
3.6%
로 1184
 
3.6%
산 1120
 
3.4%
군 1119
 
3.4%
Other values (394) 15312
46.0%
Decimal Number
ValueCountFrequency (%)
1 1633
20.8%
2 1173
14.9%
3 853
10.8%
4 776
9.9%
7 647
 
8.2%
5 627
 
8.0%
6 585
 
7.4%
8 576
 
7.3%
0 553
 
7.0%
9 445
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
B 2
28.6%
A 1
14.3%
U 1
14.3%
P 1
14.3%
M 1
14.3%
L 1
14.3%
Other Punctuation
ValueCountFrequency (%)
; 16
32.7%
# 16
32.7%
& 16
32.7%
. 1
 
2.0%
Space Separator
ValueCountFrequency (%)
9268
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 808
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33265
64.8%
Common 18082
35.2%
Latin 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 2888
 
8.7%
충 2574
 
7.7%
청 2574
 
7.7%
도 2551
 
7.7%
시 1437
 
4.3%
면 1300
 
3.9%
길 1206
 
3.6%
로 1184
 
3.6%
산 1120
 
3.4%
군 1119
 
3.4%
Other values (394) 15312
46.0%
Common
ValueCountFrequency (%)
9268
51.3%
1 1633
 
9.0%
2 1173
 
6.5%
3 853
 
4.7%
- 808
 
4.5%
4 776
 
4.3%
7 647
 
3.6%
5 627
 
3.5%
6 585
 
3.2%
8 576
 
3.2%
Other values (8) 1136
 
6.3%
Latin
ValueCountFrequency (%)
B 2
28.6%
A 1
14.3%
U 1
14.3%
P 1
14.3%
M 1
14.3%
L 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33265
64.8%
ASCII 18089
35.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9268
51.2%
1 1633
 
9.0%
2 1173
 
6.5%
3 853
 
4.7%
- 808
 
4.5%
4 776
 
4.3%
7 647
 
3.6%
5 627
 
3.5%
6 585
 
3.2%
8 576
 
3.2%
Other values (14) 1143
 
6.3%
Hangul
ValueCountFrequency (%)
남 2888
 
8.7%
충 2574
 
7.7%
청 2574
 
7.7%
도 2551
 
7.7%
시 1437
 
4.3%
면 1300
 
3.9%
길 1206
 
3.6%
로 1184
 
3.6%
산 1120
 
3.4%
군 1119
 
3.4%
Other values (394) 15312
46.0%

상세주소
Text

MISSING 

Distinct275
Distinct (%)58.6%
Missing2106
Missing (%)81.8%
Memory size20.2 KiB
2024-01-10T05:30:27.378222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length5
Mean length5.6226013
Min length2

Characters and Unicode

Total characters2637
Distinct characters261
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique202 ?
Unique (%)43.1%

Sample

1st row(원북면)
2nd row(성정동)
3rd row보령시 미산면
4th row(연무읍)
5th row(노성면)
ValueCountFrequency (%)
1층 30
 
5.4%
신흑동 20
 
3.6%
일원 11
 
2.0%
읍내동 10
 
1.8%
금성동 8
 
1.4%
웅진동 8
 
1.4%
동문동 7
 
1.3%
유량동 7
 
1.3%
반죽동 7
 
1.3%
일대 6
 
1.1%
Other values (308) 439
79.4%
2024-01-10T05:30:27.722218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 319
 
12.1%
) 319
 
12.1%
동 194
 
7.4%
면 115
 
4.4%
1 85
 
3.2%
84
 
3.2%
층 52
 
2.0%
산 49
 
1.9%
읍 43
 
1.6%
신 42
 
1.6%
Other values (251) 1335
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1569
59.5%
Open Punctuation 319
 
12.1%
Close Punctuation 319
 
12.1%
Decimal Number 268
 
10.2%
Space Separator 84
 
3.2%
Other Punctuation 40
 
1.5%
Dash Punctuation 26
 
1.0%
Uppercase Letter 9
 
0.3%
Math Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 194
 
12.4%
면 115
 
7.3%
층 52
 
3.3%
산 49
 
3.1%
읍 43
 
2.7%
신 42
 
2.7%
천 33
 
2.1%
성 31
 
2.0%
원 26
 
1.7%
흑 21
 
1.3%
Other values (227) 963
61.4%
Decimal Number
ValueCountFrequency (%)
1 85
31.7%
4 39
14.6%
2 29
 
10.8%
5 25
 
9.3%
3 24
 
9.0%
0 17
 
6.3%
6 16
 
6.0%
8 14
 
5.2%
7 11
 
4.1%
9 8
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
33.3%
F 2
22.2%
C 2
22.2%
O 1
 
11.1%
W 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
& 13
32.5%
# 13
32.5%
; 13
32.5%
· 1
 
2.5%
Open Punctuation
ValueCountFrequency (%)
( 319
100.0%
Close Punctuation
ValueCountFrequency (%)
) 319
100.0%
Space Separator
ValueCountFrequency (%)
84
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1569
59.5%
Common 1059
40.2%
Latin 9
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 194
 
12.4%
면 115
 
7.3%
층 52
 
3.3%
산 49
 
3.1%
읍 43
 
2.7%
신 42
 
2.7%
천 33
 
2.1%
성 31
 
2.0%
원 26
 
1.7%
흑 21
 
1.3%
Other values (227) 963
61.4%
Common
ValueCountFrequency (%)
( 319
30.1%
) 319
30.1%
1 85
 
8.0%
84
 
7.9%
4 39
 
3.7%
2 29
 
2.7%
- 26
 
2.5%
5 25
 
2.4%
3 24
 
2.3%
0 17
 
1.6%
Other values (9) 92
 
8.7%
Latin
ValueCountFrequency (%)
B 3
33.3%
F 2
22.2%
C 2
22.2%
O 1
 
11.1%
W 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1569
59.5%
ASCII 1067
40.5%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 319
29.9%
) 319
29.9%
1 85
 
8.0%
84
 
7.9%
4 39
 
3.7%
2 29
 
2.7%
- 26
 
2.4%
5 25
 
2.3%
3 24
 
2.2%
0 17
 
1.6%
Other values (13) 100
 
9.4%
Hangul
ValueCountFrequency (%)
동 194
 
12.4%
면 115
 
7.3%
층 52
 
3.3%
산 49
 
3.1%
읍 43
 
2.7%
신 42
 
2.7%
천 33
 
2.1%
성 31
 
2.0%
원 26
 
1.7%
흑 21
 
1.3%
Other values (227) 963
61.4%
None
ValueCountFrequency (%)
· 1
100.0%

지역코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
34
2575 

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 2575
100.0%

Length

2024-01-10T05:30:27.853546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:30:27.930116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
34 2575
100.0%

교과서속여행지 여부
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
<NA>
1668 
0
897 
1
 
10

Length

Max length4
Median length4
Mean length2.943301
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1668
64.8%
0 897
34.8%
1 10
 
0.4%

Length

2024-01-10T05:30:28.017532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:30:28.108519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1668
64.8%
0 897
34.8%
1 10
 
0.4%

대분류
Categorical

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
A02
792 
A05
678 
A03
321 
A01
300 
B02
208 
Other values (2)
276 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA02
2nd rowA02
3rd rowA02
4th rowA03
5th rowA03

Common Values

ValueCountFrequency (%)
A02 792
30.8%
A05 678
26.3%
A03 321
12.5%
A01 300
 
11.7%
B02 208
 
8.1%
A04 190
 
7.4%
C01 86
 
3.3%

Length

2024-01-10T05:30:28.193220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:30:28.301947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a02 792
30.8%
a05 678
26.3%
a03 321
12.5%
a01 300
 
11.7%
b02 208
 
8.1%
a04 190
 
7.4%
c01 86
 
3.3%

중분류
Categorical

Distinct22
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
A0502
678 
A0201
317 
A0101
293 
A0302
263 
B0201
208 
Other values (17)
816 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA0201
2nd rowA0207
3rd rowA0201
4th rowA0302
5th rowA0302

Common Values

ValueCountFrequency (%)
A0502 678
26.3%
A0201 317
12.3%
A0101 293
11.4%
A0302 263
 
10.2%
B0201 208
 
8.1%
A0401 190
 
7.4%
A0203 120
 
4.7%
A0206 99
 
3.8%
A0202 98
 
3.8%
A0207 77
 
3.0%
Other values (12) 232
 
9.0%

Length

2024-01-10T05:30:28.409136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
a0502 678
26.3%
a0201 317
12.3%
a0101 293
11.4%
a0302 263
 
10.2%
b0201 208
 
8.1%
a0401 190
 
7.4%
a0203 120
 
4.7%
a0206 99
 
3.8%
a0202 98
 
3.8%
a0207 77
 
3.0%
Other values (12) 232
 
9.0%

소분류
Text

Distinct107
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
2024-01-10T05:30:28.608087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters23175
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)0.7%

Sample

1st rowA02010700
2nd rowA02070100
3rd rowA02010500
4th rowA03021700
5th rowA03021700
ValueCountFrequency (%)
a05020100 407
 
15.8%
a03021700 209
 
8.1%
a05020900 169
 
6.6%
a02010700 166
 
6.4%
a04011000 126
 
4.9%
b02010700 116
 
4.5%
a02030100 86
 
3.3%
a02010800 72
 
2.8%
a02070200 70
 
2.7%
a01011200 55
 
2.1%
Other values (97) 1099
42.7%
2024-01-10T05:30:28.941938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12347
53.3%
1 2728
 
11.8%
2 2355
 
10.2%
A 2281
 
9.8%
5 825
 
3.6%
7 681
 
2.9%
3 607
 
2.6%
4 432
 
1.9%
9 247
 
1.1%
6 226
 
1.0%
Other values (3) 446
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20600
88.9%
Uppercase Letter 2575
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12347
59.9%
1 2728
 
13.2%
2 2355
 
11.4%
5 825
 
4.0%
7 681
 
3.3%
3 607
 
2.9%
4 432
 
2.1%
9 247
 
1.2%
6 226
 
1.1%
8 152
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
A 2281
88.6%
B 208
 
8.1%
C 86
 
3.3%

Most occurring scripts

ValueCountFrequency (%)
Common 20600
88.9%
Latin 2575
 
11.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12347
59.9%
1 2728
 
13.2%
2 2355
 
11.4%
5 825
 
4.0%
7 681
 
3.3%
3 607
 
2.9%
4 432
 
2.1%
9 247
 
1.2%
6 226
 
1.1%
8 152
 
0.7%
Latin
ValueCountFrequency (%)
A 2281
88.6%
B 208
 
8.1%
C 86
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23175
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12347
53.3%
1 2728
 
11.8%
2 2355
 
10.2%
A 2281
 
9.8%
5 825
 
3.6%
7 681
 
2.9%
3 607
 
2.6%
4 432
 
1.9%
9 247
 
1.1%
6 226
 
1.0%
Other values (3) 446
 
1.9%

콘텐츠ID
Real number (ℝ)

UNIQUE 

Distinct2575
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1941915.3
Minimum125424
Maximum3053601
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2024-01-10T05:30:29.075025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum125424
5-th percentile126867.7
Q1801317.5
median2706627
Q32828696.5
95-th percentile2932289
Maximum3053601
Range2928177
Interquartile range (IQR)2027379

Descriptive statistics

Standard deviation1111799
Coefficient of variation (CV)0.57252702
Kurtosis-1.2084389
Mean1941915.3
Median Absolute Deviation (MAD)221505
Skewness-0.71890192
Sum5.000432 × 109
Variance1.236097 × 1012
MonotonicityNot monotonic
2024-01-10T05:30:29.196587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1626487 1
 
< 0.1%
1003654 1
 
< 0.1%
2751074 1
 
< 0.1%
2734949 1
 
< 0.1%
631934 1
 
< 0.1%
125954 1
 
< 0.1%
2763005 1
 
< 0.1%
1273948 1
 
< 0.1%
250258 1
 
< 0.1%
1956306 1
 
< 0.1%
Other values (2565) 2565
99.6%
ValueCountFrequency (%)
125424 1
< 0.1%
125427 1
< 0.1%
125428 1
< 0.1%
125431 1
< 0.1%
125437 1
< 0.1%
125448 1
< 0.1%
125815 1
< 0.1%
125816 1
< 0.1%
125817 1
< 0.1%
125818 1
< 0.1%
ValueCountFrequency (%)
3053601 1
< 0.1%
3047038 1
< 0.1%
3046349 1
< 0.1%
3046333 1
< 0.1%
3046296 1
< 0.1%
3046273 1
< 0.1%
3046257 1
< 0.1%
3046233 1
< 0.1%
3046172 1
< 0.1%
3046095 1
< 0.1%

콘텐츠타입ID
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.260971
Minimum12
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2024-01-10T05:30:29.300131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile12
Q112
median28
Q339
95-th percentile39
Maximum39
Range27
Interquartile range (IQR)27

Descriptive statistics

Standard deviation11.684546
Coefficient of variation (CV)0.4625533
Kurtosis-1.7487118
Mean25.260971
Median Absolute Deviation (MAD)11
Skewness-0.03019476
Sum65047
Variance136.5286
MonotonicityNot monotonic
2024-01-10T05:30:29.388675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
12 904
35.1%
39 677
26.3%
28 314
 
12.2%
32 217
 
8.4%
38 189
 
7.3%
15 96
 
3.7%
14 92
 
3.6%
25 86
 
3.3%
ValueCountFrequency (%)
12 904
35.1%
14 92
 
3.6%
15 96
 
3.7%
25 86
 
3.3%
28 314
 
12.2%
32 217
 
8.4%
38 189
 
7.3%
39 677
26.3%
ValueCountFrequency (%)
39 677
26.3%
38 189
 
7.3%
32 217
 
8.4%
28 314
 
12.2%
25 86
 
3.3%
15 96
 
3.7%
14 92
 
3.6%
12 904
35.1%

등록일
Real number (ℝ)

Distinct2290
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0157189 × 1013
Minimum2.0020408 × 1013
Maximum2.023113 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2024-01-10T05:30:29.498944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0020408 × 1013
5-th percentile2.0030587 × 1013
Q12.0090911 × 1013
median2.0210219 × 1013
Q32.0220726 × 1013
95-th percentile2.0221217 × 1013
Maximum2.023113 × 1013
Range2.1072202 × 1011
Interquartile range (IQR)1.298151 × 1011

Descriptive statistics

Standard deviation7.1174308 × 1010
Coefficient of variation (CV)0.0035309639
Kurtosis-1.1486967
Mean2.0157189 × 1013
Median Absolute Deviation (MAD)2.0506931 × 1010
Skewness-0.64311601
Sum5.1904762 × 1016
Variance5.0657821 × 1021
MonotonicityNot monotonic
2024-01-10T05:30:29.840525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20020513090000 32
 
1.2%
20031209090000 18
 
0.7%
20031205090000 17
 
0.7%
20021203090000 11
 
0.4%
20031111090000 11
 
0.4%
20070713090000 10
 
0.4%
20060406090000 9
 
0.3%
20070314090000 8
 
0.3%
20070716090000 8
 
0.3%
20030701090000 7
 
0.3%
Other values (2280) 2444
94.9%
ValueCountFrequency (%)
20020408090000 6
0.2%
20020409090000 3
0.1%
20020417090000 1
 
< 0.1%
20020419090000 1
 
< 0.1%
20020422090000 4
0.2%
20020423090000 1
 
< 0.1%
20020424090000 1
 
< 0.1%
20020425090000 1
 
< 0.1%
20020503090000 1
 
< 0.1%
20020508090000 3
0.1%
ValueCountFrequency (%)
20231130112721 1
< 0.1%
20231123133713 1
< 0.1%
20231122150855 1
< 0.1%
20231122145927 1
< 0.1%
20231122144234 1
< 0.1%
20231122142635 1
< 0.1%
20231122141853 1
< 0.1%
20231122140258 1
< 0.1%
20231122121114 1
< 0.1%
20231122113639 1
< 0.1%

대표이미지(원본)
Text

MISSING 

Distinct1961
Distinct (%)98.9%
Missing593
Missing (%)23.0%
Memory size20.2 KiB
2024-01-10T05:30:30.076180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length65
Mean length64.927346
Min length64

Characters and Unicode

Total characters128686
Distinct characters36
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1941 ?
Unique (%)97.9%

Sample

1st rowhttp://tong.visitkorea.or.kr/cms/resource/22/1598722_image2_1.jpg
2nd rowhttp://tong.visitkorea.or.kr/cms/resource/37/2997137_image2_1.png
3rd rowhttp://tong.visitkorea.or.kr/cms/resource/87/1954587_image2_1.jpg
4th rowhttp://tong.visitkorea.or.kr/cms/resource/68/2727568_image2_1.jpg
5th rowhttp://tong.visitkorea.or.kr/cms/resource/82/1858582_image2_1.jpg
ValueCountFrequency (%)
http://tong.visitkorea.or.kr/cms/resource/20/1602720_image2_1.jpg 3
 
0.2%
http://tong.visitkorea.or.kr/cms/resource/63/2010763_image2_1.jpg 2
 
0.1%
http://tong.visitkorea.or.kr/cms/resource/40/2737040_image2_1.jpg 2
 
0.1%
http://tong.visitkorea.or.kr/cms/resource/58/187958_image2_1.jpg 2
 
0.1%
http://tong.visitkorea.or.kr/cms/resource/69/689469_image2_1.jpg 2
 
0.1%
http://tong.visitkorea.or.kr/cms/resource/43/1908643_image2_1.jpg 2
 
0.1%
http://tong.visitkorea.or.kr/cms/resource/00/798000_image2_1.jpg 2
 
0.1%
http://tong.visitkorea.or.kr/cms/resource/71/1601371_image2_1.jpg 2
 
0.1%
http://tong.visitkorea.or.kr/cms/resource/74/883274_image2_1.jpg 2
 
0.1%
http://tong.visitkorea.or.kr/cms/resource/37/1278637_image2_1.jpg 2
 
0.1%
Other values (1951) 1961
98.9%
2024-01-10T05:30:30.430902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 11892
 
9.2%
r 9910
 
7.7%
e 7935
 
6.2%
t 7928
 
6.2%
o 7928
 
6.2%
. 7928
 
6.2%
i 5946
 
4.6%
s 5946
 
4.6%
g 5796
 
4.5%
2 4725
 
3.7%
Other values (26) 52752
41.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 80873
62.8%
Other Punctuation 21802
 
16.9%
Decimal Number 21651
 
16.8%
Connector Punctuation 3964
 
3.1%
Uppercase Letter 396
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 9910
12.3%
e 7935
9.8%
t 7928
9.8%
o 7928
9.8%
i 5946
 
7.4%
s 5946
 
7.4%
g 5796
 
7.2%
m 3982
 
4.9%
c 3964
 
4.9%
k 3964
 
4.9%
Other values (8) 17574
21.7%
Decimal Number
ValueCountFrequency (%)
2 4725
21.8%
1 3732
17.2%
8 1974
9.1%
7 1799
 
8.3%
3 1769
 
8.2%
9 1679
 
7.8%
0 1598
 
7.4%
6 1537
 
7.1%
5 1477
 
6.8%
4 1361
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
P 132
33.3%
G 132
33.3%
J 131
33.1%
N 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
/ 11892
54.5%
. 7928
36.4%
: 1982
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_ 3964
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 81269
63.2%
Common 47417
36.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 9910
12.2%
e 7935
9.8%
t 7928
9.8%
o 7928
9.8%
i 5946
 
7.3%
s 5946
 
7.3%
g 5796
 
7.1%
m 3982
 
4.9%
c 3964
 
4.9%
k 3964
 
4.9%
Other values (12) 17970
22.1%
Common
ValueCountFrequency (%)
/ 11892
25.1%
. 7928
16.7%
2 4725
 
10.0%
_ 3964
 
8.4%
1 3732
 
7.9%
: 1982
 
4.2%
8 1974
 
4.2%
7 1799
 
3.8%
3 1769
 
3.7%
9 1679
 
3.5%
Other values (4) 5973
12.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 128686
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 11892
 
9.2%
r 9910
 
7.7%
e 7935
 
6.2%
t 7928
 
6.2%
o 7928
 
6.2%
. 7928
 
6.2%
i 5946
 
4.6%
s 5946
 
4.6%
g 5796
 
4.5%
2 4725
 
3.7%
Other values (26) 52752
41.0%

대표이미지(썸네일)
Text

MISSING 

Distinct1961
Distinct (%)98.9%
Missing593
Missing (%)23.0%
Memory size20.2 KiB
2024-01-10T05:30:30.658450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length65
Mean length64.927346
Min length64

Characters and Unicode

Total characters128686
Distinct characters36
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1941 ?
Unique (%)97.9%

Sample

1st rowhttp://tong.visitkorea.or.kr/cms/resource/22/1598722_image3_1.jpg
2nd rowhttp://tong.visitkorea.or.kr/cms/resource/37/2997137_image3_1.png
3rd rowhttp://tong.visitkorea.or.kr/cms/resource/87/1954587_image3_1.jpg
4th rowhttp://tong.visitkorea.or.kr/cms/resource/68/2727568_image2_1.jpg
5th rowhttp://tong.visitkorea.or.kr/cms/resource/82/1858582_image3_1.jpg
ValueCountFrequency (%)
http://tong.visitkorea.or.kr/cms/resource/20/1602720_image3_1.jpg 3
 
0.2%
http://tong.visitkorea.or.kr/cms/resource/63/2010763_image3_1.jpg 2
 
0.1%
http://tong.visitkorea.or.kr/cms/resource/40/2737040_image2_1.jpg 2
 
0.1%
http://tong.visitkorea.or.kr/cms/resource/58/187958_image3_1.jpg 2
 
0.1%
http://tong.visitkorea.or.kr/cms/resource/69/689469_image3_1.jpg 2
 
0.1%
http://tong.visitkorea.or.kr/cms/resource/43/1908643_image3_1.jpg 2
 
0.1%
http://tong.visitkorea.or.kr/cms/resource/00/798000_image3_1.jpg 2
 
0.1%
http://tong.visitkorea.or.kr/cms/resource/71/1601371_image3_1.jpg 2
 
0.1%
http://tong.visitkorea.or.kr/cms/resource/74/883274_image3_1.jpg 2
 
0.1%
http://tong.visitkorea.or.kr/cms/resource/37/1278637_image3_1.jpg 2
 
0.1%
Other values (1951) 1961
98.9%
2024-01-10T05:30:31.007624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 11892
 
9.2%
r 9910
 
7.7%
e 7935
 
6.2%
t 7928
 
6.2%
o 7928
 
6.2%
. 7928
 
6.2%
i 5946
 
4.6%
s 5946
 
4.6%
g 5796
 
4.5%
m 3982
 
3.1%
Other values (26) 53495
41.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 80873
62.8%
Other Punctuation 21802
 
16.9%
Decimal Number 21651
 
16.8%
Connector Punctuation 3964
 
3.1%
Uppercase Letter 396
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 9910
12.3%
e 7935
9.8%
t 7928
9.8%
o 7928
9.8%
i 5946
 
7.4%
s 5946
 
7.4%
g 5796
 
7.2%
m 3982
 
4.9%
c 3964
 
4.9%
k 3964
 
4.9%
Other values (8) 17574
21.7%
Decimal Number
ValueCountFrequency (%)
1 3732
17.2%
2 3360
15.5%
3 3134
14.5%
8 1974
9.1%
7 1799
8.3%
9 1679
7.8%
0 1598
7.4%
6 1537
7.1%
5 1477
 
6.8%
4 1361
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
P 132
33.3%
G 132
33.3%
J 131
33.1%
N 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
/ 11892
54.5%
. 7928
36.4%
: 1982
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_ 3964
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 81269
63.2%
Common 47417
36.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 9910
12.2%
e 7935
9.8%
t 7928
9.8%
o 7928
9.8%
i 5946
 
7.3%
s 5946
 
7.3%
g 5796
 
7.1%
m 3982
 
4.9%
c 3964
 
4.9%
k 3964
 
4.9%
Other values (12) 17970
22.1%
Common
ValueCountFrequency (%)
/ 11892
25.1%
. 7928
16.7%
_ 3964
 
8.4%
1 3732
 
7.9%
2 3360
 
7.1%
3 3134
 
6.6%
: 1982
 
4.2%
8 1974
 
4.2%
7 1799
 
3.8%
9 1679
 
3.5%
Other values (4) 5973
12.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 128686
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 11892
 
9.2%
r 9910
 
7.7%
e 7935
 
6.2%
t 7928
 
6.2%
o 7928
 
6.2%
. 7928
 
6.2%
i 5946
 
4.6%
s 5946
 
4.6%
g 5796
 
4.5%
m 3982
 
3.1%
Other values (26) 53495
41.6%

GPS X좌표
Real number (ℝ)

SKEWED 

Distinct2393
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.51216
Minimum0
Maximum127.59759
Zeros6
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2024-01-10T05:30:31.140939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile126.23906
Q1126.51786
median126.85089
Q3127.11666
95-th percentile127.28909
Maximum127.59759
Range127.59759
Interquartile range (IQR)0.59879978

Descriptive statistics

Standard deviation6.1251164
Coefficient of variation (CV)0.04841524
Kurtosis422.22929
Mean126.51216
Median Absolute Deviation (MAD)0.27873894
Skewness-20.555218
Sum325768.8
Variance37.517051
MonotonicityNot monotonic
2024-01-10T05:30:31.270646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9019791164 53
 
2.1%
127.1569534704 15
 
0.6%
0.0 6
 
0.2%
127.2326089252 6
 
0.2%
126.7194583721 6
 
0.2%
126.5488417988 4
 
0.2%
127.2890937464 4
 
0.2%
127.0321512148 4
 
0.2%
126.6641611032 3
 
0.1%
126.4935201987 3
 
0.1%
Other values (2383) 2471
96.0%
ValueCountFrequency (%)
0.0 6
0.2%
126.0085674237 1
 
< 0.1%
126.0749440746 1
 
< 0.1%
126.0803884162 1
 
< 0.1%
126.126626252 1
 
< 0.1%
126.1274797546 1
 
< 0.1%
126.1280368884 1
 
< 0.1%
126.1311719988 1
 
< 0.1%
126.1312591113 1
 
< 0.1%
126.1321442976 1
 
< 0.1%
ValueCountFrequency (%)
127.5975943176 1
< 0.1%
127.5970906328 1
< 0.1%
127.5945843255 1
< 0.1%
127.5913188458 1
< 0.1%
127.5912143306 1
< 0.1%
127.5911688528 1
< 0.1%
127.5886344382 1
< 0.1%
127.5874542954 1
< 0.1%
127.5834793438 1
< 0.1%
127.5823302924 1
< 0.1%

GPS Y좌표
Real number (ℝ)

Distinct2392
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.465992
Minimum0
Maximum37.051708
Zeros6
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2024-01-10T05:30:31.390084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile36.101288
Q136.30752
median36.593647
Q336.784078
95-th percentile36.897677
Maximum37.051708
Range37.051708
Interquartile range (IQR)0.4765582

Descriptive statistics

Standard deviation1.7822908
Coefficient of variation (CV)0.048875422
Kurtosis406.44008
Mean36.465992
Median Absolute Deviation (MAD)0.21630937
Skewness-19.978264
Sum93899.93
Variance3.1765603
MonotonicityNot monotonic
2024-01-10T05:30:31.511706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.307259306 53
 
2.1%
36.8195021834 15
 
0.6%
36.7773972648 6
 
0.2%
0.0 6
 
0.2%
36.0271354218 6
 
0.2%
36.7129010308 4
 
0.2%
36.8056015727 4
 
0.2%
36.7405136249 4
 
0.2%
36.8725197718 4
 
0.2%
36.4889842896 3
 
0.1%
Other values (2382) 2470
95.9%
ValueCountFrequency (%)
0.0 6
0.2%
35.9940288724 1
 
< 0.1%
36.0022772839 1
 
< 0.1%
36.0026466892 1
 
< 0.1%
36.0048159518 1
 
< 0.1%
36.0084703121 1
 
< 0.1%
36.0086202657 1
 
< 0.1%
36.0105702497 1
 
< 0.1%
36.010695249 1
 
< 0.1%
36.0122284111 1
 
< 0.1%
ValueCountFrequency (%)
37.0517084677 1
< 0.1%
37.0511780351 1
< 0.1%
37.0489352608 1
< 0.1%
37.0470102889 1
< 0.1%
37.0466148932 1
< 0.1%
37.0451872765 1
< 0.1%
37.0449872649 1
< 0.1%
37.0445994676 1
< 0.1%
37.0445151238 1
< 0.1%
37.0437652132 1
< 0.1%

Map Level
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)0.3%
Missing72
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean6.0039952
Minimum2
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2024-01-10T05:30:31.610109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile6
Q16
median6
Q36
95-th percentile6
Maximum8
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.16721737
Coefficient of variation (CV)0.027851017
Kurtosis230.24584
Mean6.0039952
Median Absolute Deviation (MAD)0
Skewness-6.4023844
Sum15028
Variance0.02796165
MonotonicityNot monotonic
2024-01-10T05:30:31.699929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6 2474
96.1%
7 19
 
0.7%
4 3
 
0.1%
8 3
 
0.1%
5 2
 
0.1%
3 1
 
< 0.1%
2 1
 
< 0.1%
(Missing) 72
 
2.8%
ValueCountFrequency (%)
2 1
 
< 0.1%
3 1
 
< 0.1%
4 3
 
0.1%
5 2
 
0.1%
6 2474
96.1%
7 19
 
0.7%
8 3
 
0.1%
ValueCountFrequency (%)
8 3
 
0.1%
7 19
 
0.7%
6 2474
96.1%
5 2
 
0.1%
4 3
 
0.1%
3 1
 
< 0.1%
2 1
 
< 0.1%

수정일
Real number (ℝ)

UNIQUE 

Distinct2575
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0227529 × 1013
Minimum2.0191114 × 1013
Maximum2.0231201 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2024-01-10T05:30:31.818150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0191114 × 1013
5-th percentile2.0220809 × 1013
Q12.0221204 × 1013
median2.0230502 × 1013
Q32.0231006 × 1013
95-th percentile2.023112 × 1013
Maximum2.0231201 × 1013
Range4.0087 × 1010
Interquartile range (IQR)9.8019983 × 109

Descriptive statistics

Standard deviation4.8107521 × 109
Coefficient of variation (CV)0.00023783192
Kurtosis1.5416382
Mean2.0227529 × 1013
Median Absolute Deviation (MAD)5.9899836 × 108
Skewness-1.1556543
Sum5.2085887 × 1016
Variance2.3143336 × 1019
MonotonicityStrictly decreasing
2024-01-10T05:30:31.956169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20231201182442 1
 
< 0.1%
20230119151834 1
 
< 0.1%
20230116110926 1
 
< 0.1%
20230113173315 1
 
< 0.1%
20230113132135 1
 
< 0.1%
20230113103940 1
 
< 0.1%
20230113100910 1
 
< 0.1%
20230113100634 1
 
< 0.1%
20230111112232 1
 
< 0.1%
20230111111952 1
 
< 0.1%
Other values (2565) 2565
99.6%
ValueCountFrequency (%)
20191114182354 1
< 0.1%
20200910171111 1
< 0.1%
20201126234835 1
< 0.1%
20201211003049 1
< 0.1%
20201218014259 1
< 0.1%
20201229010008 1
< 0.1%
20210219003844 1
< 0.1%
20210310204647 1
< 0.1%
20210310204837 1
< 0.1%
20210323184345 1
< 0.1%
ValueCountFrequency (%)
20231201182442 1
< 0.1%
20231201140243 1
< 0.1%
20231201133751 1
< 0.1%
20231201131845 1
< 0.1%
20231201114952 1
< 0.1%
20231201110544 1
< 0.1%
20231130173650 1
< 0.1%
20231130173426 1
< 0.1%
20231130172158 1
< 0.1%
20231130164831 1
< 0.1%

조회수
Real number (ℝ)

ZEROS 

Distinct1173
Distinct (%)45.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12278.532
Minimum0
Maximum564946
Zeros379
Zeros (%)14.7%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2024-01-10T05:30:32.088531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q320156
95-th percentile45834.7
Maximum564946
Range564946
Interquartile range (IQR)20155

Descriptive statistics

Standard deviation28951.86
Coefficient of variation (CV)2.3579251
Kurtosis126.74099
Mean12278.532
Median Absolute Deviation (MAD)3
Skewness8.9996326
Sum31617221
Variance8.382102 × 108
MonotonicityNot monotonic
2024-01-10T05:30:32.202874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 660
25.6%
0 379
 
14.7%
2 214
 
8.3%
3 64
 
2.5%
4 26
 
1.0%
5 24
 
0.9%
6 11
 
0.4%
8 4
 
0.2%
13 3
 
0.1%
3095 2
 
0.1%
Other values (1163) 1188
46.1%
ValueCountFrequency (%)
0 379
14.7%
1 660
25.6%
2 214
 
8.3%
3 64
 
2.5%
4 26
 
1.0%
5 24
 
0.9%
6 11
 
0.4%
7 1
 
< 0.1%
8 4
 
0.2%
9 1
 
< 0.1%
ValueCountFrequency (%)
564946 1
< 0.1%
510458 1
< 0.1%
423535 1
< 0.1%
358970 1
< 0.1%
351643 1
< 0.1%
278404 1
< 0.1%
270276 1
< 0.1%
259772 1
< 0.1%
250766 1
< 0.1%
211619 1
< 0.1%

시군구코드
Real number (ℝ)

Distinct15
Distinct (%)0.6%
Missing6
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean8.4126119
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2024-01-10T05:30:32.307108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median8
Q312
95-th percentile14
Maximum16
Range15
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.4940525
Coefficient of variation (CV)0.53420418
Kurtosis-1.2477551
Mean8.4126119
Median Absolute Deviation (MAD)4
Skewness-0.13090699
Sum21612
Variance20.196508
MonotonicityNot monotonic
2024-01-10T05:30:32.425921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
14 401
15.6%
12 331
12.9%
1 242
9.4%
9 237
9.2%
6 220
8.5%
5 187
7.3%
7 156
 
6.1%
8 146
 
5.7%
3 122
 
4.7%
11 121
 
4.7%
Other values (5) 406
15.8%
ValueCountFrequency (%)
1 242
9.4%
2 97
3.8%
3 122
4.7%
4 117
4.5%
5 187
7.3%
6 220
8.5%
7 156
6.1%
8 146
5.7%
9 237
9.2%
11 121
4.7%
ValueCountFrequency (%)
16 27
 
1.0%
15 100
 
3.9%
14 401
15.6%
13 65
 
2.5%
12 331
12.9%
11 121
 
4.7%
9 237
9.2%
8 146
 
5.7%
7 156
 
6.1%
6 220
8.5%

전화번호
Text

MISSING 

Distinct490
Distinct (%)96.3%
Missing2066
Missing (%)80.2%
Memory size20.2 KiB
2024-01-10T05:30:32.622973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length12
Mean length12.6778
Min length7

Characters and Unicode

Total characters6453
Distinct characters67
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique475 ?
Unique (%)93.3%

Sample

1st row041-660-2697
2nd row041-675-5533
3rd row041-735-1215
4th row041-635-6980
5th row041-541-2582
ValueCountFrequency (%)
4
 
0.7%
041-952-9123 3
 
0.6%
041-730 3
 
0.6%
관광안내소 3
 
0.6%
041-950-5300 3
 
0.6%
041-634-0104 3
 
0.6%
041-541-2582 3
 
0.6%
2983 2
 
0.4%
041-339-7253 2
 
0.4%
041-541-1189 2
 
0.4%
Other values (503) 513
94.8%
2024-01-10T05:30:32.967996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1025
15.9%
0 998
15.5%
1 794
12.3%
4 752
11.7%
5 475
7.4%
3 453
7.0%
6 415
6.4%
2 407
 
6.3%
7 351
 
5.4%
8 328
 
5.1%
Other values (57) 455
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5270
81.7%
Dash Punctuation 1025
 
15.9%
Other Letter 69
 
1.1%
Space Separator 32
 
0.5%
Other Punctuation 29
 
0.4%
Math Symbol 16
 
0.2%
Lowercase Letter 10
 
0.2%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 5
 
7.2%
소 4
 
5.8%
광 4
 
5.8%
관 4
 
5.8%
시 4
 
5.8%
령 3
 
4.3%
보 3
 
4.3%
내 3
 
4.3%
천 3
 
4.3%
원 3
 
4.3%
Other values (32) 33
47.8%
Decimal Number
ValueCountFrequency (%)
0 998
18.9%
1 794
15.1%
4 752
14.3%
5 475
9.0%
3 453
8.6%
6 415
7.9%
2 407
7.7%
7 351
 
6.7%
8 328
 
6.2%
9 297
 
5.6%
Other Punctuation
ValueCountFrequency (%)
; 8
27.6%
# 8
27.6%
& 8
27.6%
: 3
 
10.3%
/ 2
 
6.9%
Math Symbol
ValueCountFrequency (%)
~ 5
31.2%
> 5
31.2%
< 5
31.2%
∼ 1
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
r 5
50.0%
b 5
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1025
100.0%
Space Separator
ValueCountFrequency (%)
32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6374
98.8%
Hangul 69
 
1.1%
Latin 10
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 5
 
7.2%
소 4
 
5.8%
광 4
 
5.8%
관 4
 
5.8%
시 4
 
5.8%
령 3
 
4.3%
보 3
 
4.3%
내 3
 
4.3%
천 3
 
4.3%
원 3
 
4.3%
Other values (32) 33
47.8%
Common
ValueCountFrequency (%)
- 1025
16.1%
0 998
15.7%
1 794
12.5%
4 752
11.8%
5 475
7.5%
3 453
7.1%
6 415
6.5%
2 407
 
6.4%
7 351
 
5.5%
8 328
 
5.1%
Other values (13) 376
 
5.9%
Latin
ValueCountFrequency (%)
r 5
50.0%
b 5
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6383
98.9%
Hangul 69
 
1.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1025
16.1%
0 998
15.6%
1 794
12.4%
4 752
11.8%
5 475
7.4%
3 453
7.1%
6 415
6.5%
2 407
 
6.4%
7 351
 
5.5%
8 328
 
5.1%
Other values (14) 385
 
6.0%
Hangul
ValueCountFrequency (%)
안 5
 
7.2%
소 4
 
5.8%
광 4
 
5.8%
관 4
 
5.8%
시 4
 
5.8%
령 3
 
4.3%
보 3
 
4.3%
내 3
 
4.3%
천 3
 
4.3%
원 3
 
4.3%
Other values (32) 33
47.8%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

우편번호
Text

MISSING 

Distinct834
Distinct (%)33.9%
Missing116
Missing (%)4.5%
Memory size20.2 KiB
2024-01-10T05:30:33.259585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length5
Mean length5.0264335
Min length5

Characters and Unicode

Total characters12360
Distinct characters14
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique388 ?
Unique (%)15.8%

Sample

1st row32930
2nd row31960
3rd row32109
4th row32720
5th row32153
ValueCountFrequency (%)
33115 61
 
2.5%
32166 45
 
1.8%
32626 30
 
1.2%
31156 25
 
1.0%
32158 23
 
0.9%
32152 21
 
0.9%
32123 20
 
0.8%
32100 19
 
0.8%
32105 19
 
0.8%
32121 19
 
0.8%
Other values (824) 2177
88.5%
2024-01-10T05:30:33.673739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 3570
28.9%
1 2118
17.1%
2 1901
15.4%
5 887
 
7.2%
0 865
 
7.0%
4 842
 
6.8%
6 754
 
6.1%
7 513
 
4.2%
9 497
 
4.0%
8 381
 
3.1%
Other values (4) 32
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12328
99.7%
Other Punctuation 24
 
0.2%
Dash Punctuation 8
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 3570
29.0%
1 2118
17.2%
2 1901
15.4%
5 887
 
7.2%
0 865
 
7.0%
4 842
 
6.8%
6 754
 
6.1%
7 513
 
4.2%
9 497
 
4.0%
8 381
 
3.1%
Other Punctuation
ValueCountFrequency (%)
& 8
33.3%
# 8
33.3%
; 8
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12360
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 3570
28.9%
1 2118
17.1%
2 1901
15.4%
5 887
 
7.2%
0 865
 
7.0%
4 842
 
6.8%
6 754
 
6.1%
7 513
 
4.2%
9 497
 
4.0%
8 381
 
3.1%
Other values (4) 32
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 3570
28.9%
1 2118
17.1%
2 1901
15.4%
5 887
 
7.2%
0 865
 
7.0%
4 842
 
6.8%
6 754
 
6.1%
7 513
 
4.2%
9 497
 
4.0%
8 381
 
3.1%
Other values (4) 32
 
0.3%

Sample

제목주소상세주소지역코드교과서속여행지 여부대분류중분류소분류콘텐츠ID콘텐츠타입ID등록일대표이미지(원본)대표이미지(썸네일)GPS X좌표GPS Y좌표Map Level수정일조회수시군구코드전화번호우편번호
0팔괘정충청남도 논산시 강경읍<NA>340A02A0201A0201070016264871220120509235739http://tong.visitkorea.or.kr/cms/resource/22/1598722_image2_1.jpghttp://tong.visitkorea.or.kr/cms/resource/22/1598722_image3_1.jpg127.0096636.156162620231201182442173523<NA>32930
1서산해미읍성축제충청남도 서산시 남문2로 143 해미읍성<NA>34<NA>A02A0207A020701001407521520050329090000http://tong.visitkorea.or.kr/cms/resource/37/2997137_image2_1.pnghttp://tong.visitkorea.or.kr/cms/resource/37/2997137_image3_1.png126.55039436.713604620231201140243557607041-660-269731960
2이종일선생생가지충청남도 태안군 원북면 옥파로 199-7(원북면)340A02A0201A0201050015322181220120110215613http://tong.visitkorea.or.kr/cms/resource/87/1954587_image2_1.jpghttp://tong.visitkorea.or.kr/cms/resource/87/1954587_image3_1.jpg126.24003636.8316186202312011337511780214<NA>32109
3금산국민여가오토캠핑장충청남도 금산군 제원면 닥실길 16<NA>34<NA>A03A0302A0302170027272222820210726233302http://tong.visitkorea.or.kr/cms/resource/68/2727568_image2_1.jpghttp://tong.visitkorea.or.kr/cms/resource/68/2727568_image2_1.jpg127.56869736.10510562023120113184502<NA>32720
4몽산포오토캠핑장충청남도 태안군 남면 몽산포길 65-24<NA>34<NA>A03A0302A0302170018591602820131114230614http://tong.visitkorea.or.kr/cms/resource/82/1858582_image2_1.jpghttp://tong.visitkorea.or.kr/cms/resource/82/1858582_image3_1.jpg126.28756936.670113620231201114952880614<NA>32153
5알바노충청남도 논산시 가야곡면 산노1길 79-12<NA>34<NA>A05A0502A0502020027349253920210818225927http://tong.visitkorea.or.kr/cms/resource/46/2735146_image2_1.jpghttp://tong.visitkorea.or.kr/cms/resource/46/2735146_image2_1.jpg127.17864136.16978862023120111054403<NA>33018
6우시장식당충청남도 서산시 해미면 읍성마을3길 22<NA>34<NA>A05A0502A0502010027653983920211101234021<NA><NA>126.54516736.71009962023113017365007<NA>31960
7대안식당충청남도 천안시 서북구 도원7길 17(성정동)34<NA>A05A0502A0502010027655073920211102003642<NA><NA>127.13443336.82076620231130173426012<NA>31139
8이내카페충청남도 아산시 배방읍 배방로13번길 19-6<NA>34<NA>A05A0502A0502090027668263920211102234714http://tong.visitkorea.or.kr/cms/resource/18/2767118_image2_1.jpghttp://tong.visitkorea.or.kr/cms/resource/18/2767118_image2_1.jpg127.05661936.77668662023113017215809<NA>31482
9임천향교충청남도 부여군 임천면 성흥로75번길 6-7<NA>340A02A0201A0201070019547121220141008190715<NA><NA>126.89256136.19238662023113016483119816<NA>33219
제목주소상세주소지역코드교과서속여행지 여부대분류중분류소분류콘텐츠ID콘텐츠타입ID등록일대표이미지(원본)대표이미지(썸네일)GPS X좌표GPS Y좌표Map Level수정일조회수시군구코드전화번호우편번호
2565빵아트간충청남도 천안시 서북구 불당15길 10-2<NA>34<NA>A05A0502A0502090026606463920200622224904http://tong.visitkorea.or.kr/cms/resource/08/2663508_image2_1.jpghttp://tong.visitkorea.or.kr/cms/resource/08/2663508_image2_1.jpg127.10672536.799287620210323184345212010-8839-420131169
2566기린더매운갈비찜충청남도 천안시 서북구 불당16길 34-6<NA>34<NA>A05A0502A0502010026605543920200619215507http://tong.visitkorea.or.kr/cms/resource/59/2660559_image2_1.jpghttp://tong.visitkorea.or.kr/cms/resource/59/2660559_image2_1.jpg127.10706436.801028620210310204837112041-523-949831169
2567카페시스터즈충청남도 천안시 서북구 불당16길 1<NA>34<NA>A05A0502A0502090026605553920200619215843http://tong.visitkorea.or.kr/cms/resource/60/2660560_image2_1.jpghttp://tong.visitkorea.or.kr/cms/resource/60/2660560_image2_1.jpg127.10616436.800306620210310204647112041-565-199331169
2568소담충청남도 서천군 서천읍 충절로41번길 15-9<NA>34<NA>A05A0502A0502010026540543920200423222500http://tong.visitkorea.or.kr/cms/resource/52/2691252_image2_1.jpghttp://tong.visitkorea.or.kr/cms/resource/52/2691252_image2_1.jpg126.6869136.07675462021021900384418041-951-727233642
2569굿모닝 관광펜션충청남도 공주시 사곡면 단평길 245<NA>34<NA>B02B0201B0201070026248103220191015183023<NA><NA>127.0216936.53063<NA>2020122901000811<NA>32523
2570황토한옥고마충청남도 공주시 미나리1길 18-4(금성동)34<NA>B02B0201B0201160025861663220190109015700<NA><NA>127.12236636.461445<NA>2020121801425911<NA>32538
2571수지펜션충청남도 보령시 해수욕장9길 2-7(신흑동)34<NA>B02B0201B0201070026966803220201211003049<NA><NA>126.51164436.316257<NA>2020121100304915<NA>33489
2572오엔시티호텔 [한국관광 품질인증/Korea Quality]충청남도 천안시 서북구 불당4로 105(불당동)34<NA>B02B0201B0201090025950373220190404232330http://tong.visitkorea.or.kr/cms/resource/30/2595030_image2_1.jpghttp://tong.visitkorea.or.kr/cms/resource/30/2595030_image2_1.jpg127.11131336.811158<NA>202011262348351312041-553-808031163
2573아도니스충청남도 보령시 머드로 134(신흑동)34<NA>B02B0201B0201070026712143220200908182133<NA><NA>126.51062536.316399<NA>2020091017111125<NA>33489
2574장충영각충청남도 홍성군 구항면 거북로 422-41<NA>34<NA>B02B0201B0201160026242313220191012022242<NA><NA>126.61205136.572538<NA>20191114182354115010-5409-912932215