Overview

Dataset statistics

Number of variables22
Number of observations333
Missing cells377
Missing cells (%)5.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory57.7 KiB
Average record size in memory177.4 B

Variable types

Categorical5
Text15
Numeric1
DateTime1

Dataset

Description공공데이터 제공 표준데이터 속성정보(허용값, 표현형식/단위 등)는 [공공데이터 제공 표준] 전문을 참고하시기 바랍니다.(공공데이터포털>정보공유>자료실) 각 기관에서 등록한 표준데이터를 취합하여 제공하기 때문에 갱신주기는 개별 파일마다 다릅니다.(기관에서 등록한 데이터를 취합한 것으로 개별 파일별 갱신시점이 다름)
Author지방자치단체
URLhttps://www.data.go.kr/data/15025456/standard.do

Alerts

시티투어코스부가정보 is highly imbalanced (56.0%)Imbalance
경유지주변관광정보 has 238 (71.5%) missing valuesMissing
이용요금부가정보 has 110 (33.0%) missing valuesMissing
홈페이지주소 has 27 (8.1%) missing valuesMissing
배차시간 has 202 (60.7%) zerosZeros

Reproduction

Analysis started2024-05-11 07:50:27.465616
Analysis finished2024-05-11 07:50:30.174258
Duration2.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

Distinct18
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
경기도
61 
충청남도
39 
강원도
33 
전라남도
32 
대전광역시
30 
Other values (13)
138 

Length

Max length7
Median length5
Mean length4.3333333
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row경상북도
2nd row강원특별자치도
3rd row강원특별자치도
4th row전라북도
5th row경기도

Common Values

ValueCountFrequency (%)
경기도 61
18.3%
충청남도 39
11.7%
강원도 33
9.9%
전라남도 32
9.6%
대전광역시 30
9.0%
강원특별자치도 29
8.7%
경상북도 23
 
6.9%
전라북도 20
 
6.0%
경상남도 16
 
4.8%
전북특별자치도 14
 
4.2%
Other values (8) 36
10.8%

Length

2024-05-11T16:50:30.388921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 61
18.3%
충청남도 39
11.7%
강원도 33
9.9%
전라남도 32
9.6%
대전광역시 30
9.0%
강원특별자치도 29
8.7%
경상북도 23
 
6.9%
전라북도 20
 
6.0%
경상남도 16
 
4.8%
전북특별자치도 14
 
4.2%
Other values (8) 36
10.8%

시군구명
Text

Distinct79
Distinct (%)23.7%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-05-11T16:50:30.867830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length2.954955
Min length2

Characters and Unicode

Total characters984
Distinct characters76
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)6.9%

Sample

1st row구미시
2nd row화천군
3rd row화천군
4th row부안군
5th row없음
ValueCountFrequency (%)
동구 30
 
9.0%
없음 23
 
6.9%
춘천시 22
 
6.6%
화성시 13
 
3.9%
서천군 11
 
3.3%
순천시 10
 
3.0%
익산시 10
 
3.0%
대구광역시 9
 
2.7%
양구군 8
 
2.4%
군산시 8
 
2.4%
Other values (70) 190
56.9%
2024-05-11T16:50:31.651570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 192
19.5%
군 93
 
9.5%
천 68
 
6.9%
구 59
 
6.0%
주 45
 
4.6%
동 41
 
4.2%
산 32
 
3.3%
양 30
 
3.0%
없 23
 
2.3%
음 23
 
2.3%
Other values (66) 378
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 977
99.3%
Math Symbol 5
 
0.5%
Space Separator 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 192
19.7%
군 93
 
9.5%
천 68
 
7.0%
구 59
 
6.0%
주 45
 
4.6%
동 41
 
4.2%
산 32
 
3.3%
양 30
 
3.1%
없 23
 
2.4%
음 23
 
2.4%
Other values (63) 371
38.0%
Space Separator
ValueCountFrequency (%)
1
50.0%
　 1
50.0%
Math Symbol
ValueCountFrequency (%)
+ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 977
99.3%
Common 7
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 192
19.7%
군 93
 
9.5%
천 68
 
7.0%
구 59
 
6.0%
주 45
 
4.6%
동 41
 
4.2%
산 32
 
3.3%
양 30
 
3.1%
없 23
 
2.4%
음 23
 
2.4%
Other values (63) 371
38.0%
Common
ValueCountFrequency (%)
+ 5
71.4%
1
 
14.3%
　 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 977
99.3%
ASCII 6
 
0.6%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 192
19.7%
군 93
 
9.5%
천 68
 
7.0%
구 59
 
6.0%
주 45
 
4.6%
동 41
 
4.2%
산 32
 
3.3%
양 30
 
3.1%
없 23
 
2.4%
음 23
 
2.4%
Other values (63) 371
38.0%
ASCII
ValueCountFrequency (%)
+ 5
83.3%
1
 
16.7%
None
ValueCountFrequency (%)
　 1
100.0%

시티투어코스명
Text

Distinct275
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-05-11T16:50:32.225733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length25
Mean length9
Min length2

Characters and Unicode

Total characters2997
Distinct characters341
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique222 ?
Unique (%)66.7%

Sample

1st row구미관광 시티투어
2nd row화천시티투어(평화누리호)
3rd row화천시티투어(백암산케이블카)
4th row(현재 미운행 중)부안 시티투어
5th rowEG투어버스 J코스
ValueCountFrequency (%)
코스 22
 
4.0%
투어 15
 
2.7%
eg투어버스 12
 
2.2%
시티투어 11
 
2.0%
2023 7
 
1.3%
파주시티투어 7
 
1.3%
연계형 6
 
1.1%
체험 6
 
1.1%
1코스 5
 
0.9%
토 5
 
0.9%
Other values (337) 450
82.4%
2024-05-11T16:50:33.167777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
213
 
7.1%
어 153
 
5.1%
투 148
 
4.9%
스 143
 
4.8%
코 118
 
3.9%
) 84
 
2.8%
( 84
 
2.8%
시 73
 
2.4%
일 62
 
2.1%
티 56
 
1.9%
Other values (331) 1863
62.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2417
80.6%
Space Separator 213
 
7.1%
Decimal Number 93
 
3.1%
Close Punctuation 84
 
2.8%
Open Punctuation 84
 
2.8%
Uppercase Letter 48
 
1.6%
Other Punctuation 27
 
0.9%
Math Symbol 13
 
0.4%
Dash Punctuation 11
 
0.4%
Lowercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
어 153
 
6.3%
투 148
 
6.1%
스 143
 
5.9%
코 118
 
4.9%
시 73
 
3.0%
일 62
 
2.6%
티 56
 
2.3%
산 36
 
1.5%
역 36
 
1.5%
마 36
 
1.5%
Other values (288) 1556
64.4%
Uppercase Letter
ValueCountFrequency (%)
E 13
27.1%
G 13
27.1%
A 4
 
8.3%
K 4
 
8.3%
B 2
 
4.2%
I 2
 
4.2%
T 2
 
4.2%
X 2
 
4.2%
C 1
 
2.1%
D 1
 
2.1%
Other values (4) 4
 
8.3%
Decimal Number
ValueCountFrequency (%)
2 41
44.1%
1 24
25.8%
0 10
 
10.8%
3 8
 
8.6%
8 4
 
4.3%
4 2
 
2.2%
7 2
 
2.2%
6 1
 
1.1%
9 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
, 17
63.0%
· 3
 
11.1%
& 2
 
7.4%
. 2
 
7.4%
? 2
 
7.4%
/ 1
 
3.7%
Math Symbol
ValueCountFrequency (%)
+ 5
38.5%
~ 4
30.8%
× 1
 
7.7%
> 1
 
7.7%
= 1
 
7.7%
< 1
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
n 2
50.0%
a 1
25.0%
s 1
25.0%
Space Separator
ValueCountFrequency (%)
213
100.0%
Close Punctuation
ValueCountFrequency (%)
) 84
100.0%
Open Punctuation
ValueCountFrequency (%)
( 84
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2417
80.6%
Common 528
 
17.6%
Latin 52
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
어 153
 
6.3%
투 148
 
6.1%
스 143
 
5.9%
코 118
 
4.9%
시 73
 
3.0%
일 62
 
2.6%
티 56
 
2.3%
산 36
 
1.5%
역 36
 
1.5%
마 36
 
1.5%
Other values (288) 1556
64.4%
Common
ValueCountFrequency (%)
213
40.3%
) 84
 
15.9%
( 84
 
15.9%
2 41
 
7.8%
1 24
 
4.5%
, 17
 
3.2%
- 11
 
2.1%
0 10
 
1.9%
3 8
 
1.5%
+ 5
 
0.9%
Other values (16) 31
 
5.9%
Latin
ValueCountFrequency (%)
E 13
25.0%
G 13
25.0%
A 4
 
7.7%
K 4
 
7.7%
B 2
 
3.8%
n 2
 
3.8%
I 2
 
3.8%
T 2
 
3.8%
X 2
 
3.8%
C 1
 
1.9%
Other values (7) 7
13.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2417
80.6%
ASCII 576
 
19.2%
None 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
213
37.0%
) 84
 
14.6%
( 84
 
14.6%
2 41
 
7.1%
1 24
 
4.2%
, 17
 
3.0%
E 13
 
2.3%
G 13
 
2.3%
- 11
 
1.9%
0 10
 
1.7%
Other values (31) 66
 
11.5%
Hangul
ValueCountFrequency (%)
어 153
 
6.3%
투 148
 
6.1%
스 143
 
5.9%
코 118
 
4.9%
시 73
 
3.0%
일 62
 
2.6%
티 56
 
2.3%
산 36
 
1.5%
역 36
 
1.5%
마 36
 
1.5%
Other values (288) 1556
64.4%
None
ValueCountFrequency (%)
· 3
75.0%
× 1
 
25.0%

시티투어문의처
Text

Distinct93
Distinct (%)27.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-05-11T16:50:33.627251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length48
Mean length20.342342
Min length8

Characters and Unicode

Total characters6774
Distinct characters145
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)7.8%

Sample

1st row구미시 낭만축제과(480-2662)
2nd row02-318-1664
3rd row02-318-1664
4th row스카이항공 063-252-2988
5th row02-2038-0840
ValueCountFrequency (%)
042-252-7725 29
 
5.5%
15
 
2.9%
화성시지속가능발전협의회 13
 
2.5%
031-366-8921+031-366-7110 12
 
2.3%
033-250-3654+033-252-3353 11
 
2.1%
서천종합관광안내소041-952-9525 11
 
2.1%
여로관광협동조합 10
 
1.9%
1899-6221 10
 
1.9%
053-627-8900 9
 
1.7%
033-250-3654+033-253-4000 9
 
1.7%
Other values (131) 394
75.3%
2024-05-11T16:50:34.494089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 769
 
11.4%
0 684
 
10.1%
3 518
 
7.6%
2 483
 
7.1%
5 469
 
6.9%
4 387
 
5.7%
1 373
 
5.5%
6 347
 
5.1%
7 251
 
3.7%
8 238
 
3.5%
Other values (135) 2255
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3984
58.8%
Other Letter 1563
 
23.1%
Dash Punctuation 769
 
11.4%
Space Separator 190
 
2.8%
Math Symbol 87
 
1.3%
Close Punctuation 85
 
1.3%
Open Punctuation 84
 
1.2%
Other Punctuation 8
 
0.1%
Other Symbol 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 116
 
7.4%
관 115
 
7.4%
여 58
 
3.7%
행 49
 
3.1%
동 46
 
2.9%
시 46
 
2.9%
천 42
 
2.7%
사 40
 
2.6%
서 36
 
2.3%
어 36
 
2.3%
Other values (117) 979
62.6%
Decimal Number
ValueCountFrequency (%)
0 684
17.2%
3 518
13.0%
2 483
12.1%
5 469
11.8%
4 387
9.7%
1 373
9.4%
6 347
8.7%
7 251
 
6.3%
8 238
 
6.0%
9 234
 
5.9%
Math Symbol
ValueCountFrequency (%)
+ 85
97.7%
~ 2
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 769
100.0%
Space Separator
ValueCountFrequency (%)
190
100.0%
Close Punctuation
ValueCountFrequency (%)
) 85
100.0%
Open Punctuation
ValueCountFrequency (%)
( 84
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 8
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5207
76.9%
Hangul 1567
 
23.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 116
 
7.4%
관 115
 
7.3%
여 58
 
3.7%
행 49
 
3.1%
동 46
 
2.9%
시 46
 
2.9%
천 42
 
2.7%
사 40
 
2.6%
서 36
 
2.3%
어 36
 
2.3%
Other values (118) 983
62.7%
Common
ValueCountFrequency (%)
- 769
14.8%
0 684
13.1%
3 518
9.9%
2 483
9.3%
5 469
9.0%
4 387
7.4%
1 373
7.2%
6 347
6.7%
7 251
 
4.8%
8 238
 
4.6%
Other values (7) 688
13.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5207
76.9%
Hangul 1563
 
23.1%
None 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 769
14.8%
0 684
13.1%
3 518
9.9%
2 483
9.3%
5 469
9.0%
4 387
7.4%
1 373
7.2%
6 347
6.7%
7 251
 
4.8%
8 238
 
4.6%
Other values (7) 688
13.2%
Hangul
ValueCountFrequency (%)
광 116
 
7.4%
관 115
 
7.4%
여 58
 
3.7%
행 49
 
3.1%
동 46
 
2.9%
시 46
 
2.9%
천 42
 
2.7%
사 40
 
2.6%
서 36
 
2.3%
어 36
 
2.3%
Other values (117) 979
62.6%
None
ValueCountFrequency (%)
㈜ 4
100.0%

시티투어운영시간
Text

Distinct161
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-05-11T16:50:34.924251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length42
Mean length13.705706
Min length1

Characters and Unicode

Total characters4564
Distinct characters132
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)30.0%

Sample

1st row09:00 ~ 16:00
2nd row매주 토 10:00~17:00
3rd row매주 토 10:00~17:00
4th row매주토요일
5th row수
ValueCountFrequency (%)
매주 86
 
10.8%
65
 
8.1%
운영 40
 
5.0%
토 24
 
3.0%
일요일 18
 
2.3%
월~일요일 15
 
1.9%
10:30 15
 
1.9%
운행 15
 
1.9%
17:30 14
 
1.8%
화+수+목+금+토+일 13
 
1.6%
Other values (221) 493
61.8%
2024-05-11T16:50:36.127556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 556
 
12.2%
465
 
10.2%
1 355
 
7.8%
일 284
 
6.2%
: 267
 
5.9%
~ 226
 
5.0%
+ 211
 
4.6%
3 143
 
3.1%
2 137
 
3.0%
주 123
 
2.7%
Other values (122) 1797
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1687
37.0%
Decimal Number 1494
32.7%
Space Separator 465
 
10.2%
Math Symbol 437
 
9.6%
Other Punctuation 304
 
6.7%
Open Punctuation 66
 
1.4%
Close Punctuation 66
 
1.4%
Dash Punctuation 45
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 284
16.8%
주 123
 
7.3%
월 119
 
7.1%
매 109
 
6.5%
토 100
 
5.9%
요 97
 
5.7%
운 86
 
5.1%
영 57
 
3.4%
화 51
 
3.0%
금 48
 
2.8%
Other values (102) 613
36.3%
Decimal Number
ValueCountFrequency (%)
0 556
37.2%
1 355
23.8%
3 143
 
9.6%
2 137
 
9.2%
7 85
 
5.7%
9 81
 
5.4%
8 62
 
4.1%
5 33
 
2.2%
4 23
 
1.5%
6 19
 
1.3%
Other Punctuation
ValueCountFrequency (%)
: 267
87.8%
/ 18
 
5.9%
, 10
 
3.3%
. 9
 
3.0%
Math Symbol
ValueCountFrequency (%)
~ 226
51.7%
+ 211
48.3%
Space Separator
ValueCountFrequency (%)
465
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2877
63.0%
Hangul 1687
37.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 284
16.8%
주 123
 
7.3%
월 119
 
7.1%
매 109
 
6.5%
토 100
 
5.9%
요 97
 
5.7%
운 86
 
5.1%
영 57
 
3.4%
화 51
 
3.0%
금 48
 
2.8%
Other values (102) 613
36.3%
Common
ValueCountFrequency (%)
0 556
19.3%
465
16.2%
1 355
12.3%
: 267
9.3%
~ 226
7.9%
+ 211
 
7.3%
3 143
 
5.0%
2 137
 
4.8%
7 85
 
3.0%
9 81
 
2.8%
Other values (10) 351
12.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2877
63.0%
Hangul 1687
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 556
19.3%
465
16.2%
1 355
12.3%
: 267
9.3%
~ 226
7.9%
+ 211
 
7.3%
3 143
 
5.0%
2 137
 
4.8%
7 85
 
3.0%
9 81
 
2.8%
Other values (10) 351
12.2%
Hangul
ValueCountFrequency (%)
일 284
16.8%
주 123
 
7.3%
월 119
 
7.1%
매 109
 
6.5%
토 100
 
5.9%
요 97
 
5.7%
운 86
 
5.1%
영 57
 
3.4%
화 51
 
3.0%
금 48
 
2.8%
Other values (102) 613
36.3%

시티투어운행방식
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
고정형
271 
순환형
62 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row고정형
2nd row고정형
3rd row고정형
4th row순환형
5th row고정형

Common Values

ValueCountFrequency (%)
고정형 271
81.4%
순환형 62
 
18.6%

Length

2024-05-11T16:50:36.476824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:50:36.664961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고정형 271
81.4%
순환형 62
 
18.6%

시티투어탑승장소명
Text

Distinct110
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-05-11T16:50:37.066080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length33
Mean length10.249249
Min length3

Characters and Unicode

Total characters3413
Distinct characters221
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)13.5%

Sample

1st row구미역+구미시청
2nd row서울시청역3번출구,종합운동장역3번출구,춘천역2번출구
3rd row서울시청역3번출구,종합운동장역3번출구,춘천역2번출구
4th row(향후 운행계획 미정)전주한옥마을
5th row홍대입구역/남산예장버스터니널/ 동대문역사문화공원역
ValueCountFrequency (%)
춘천역 30
 
5.8%
대전역시티투어승강장 28
 
5.4%
승강장 16
 
3.1%
12
 
2.3%
순천역 12
 
2.3%
익산역 12
 
2.3%
앞 9
 
1.7%
1번출구 8
 
1.5%
or 8
 
1.5%
서울역 8
 
1.5%
Other values (156) 376
72.4%
2024-05-11T16:50:37.829681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
역 326
 
9.6%
186
 
5.4%
시 105
 
3.1%
장 98
 
2.9%
천 96
 
2.8%
+ 94
 
2.8%
구 71
 
2.1%
터 64
 
1.9%
대 62
 
1.8%
미 60
 
1.8%
Other values (211) 2251
66.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2844
83.3%
Space Separator 186
 
5.4%
Decimal Number 113
 
3.3%
Math Symbol 107
 
3.1%
Other Punctuation 51
 
1.5%
Close Punctuation 44
 
1.3%
Open Punctuation 42
 
1.2%
Lowercase Letter 16
 
0.5%
Uppercase Letter 6
 
0.2%
Dash Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
역 326
 
11.5%
시 105
 
3.7%
장 98
 
3.4%
천 96
 
3.4%
구 71
 
2.5%
터 64
 
2.3%
대 62
 
2.2%
미 60
 
2.1%
출 55
 
1.9%
승 52
 
1.8%
Other values (190) 1855
65.2%
Decimal Number
ValueCountFrequency (%)
0 39
34.5%
1 23
20.4%
3 22
19.5%
2 18
15.9%
9 9
 
8.0%
6 2
 
1.8%
Math Symbol
ValueCountFrequency (%)
+ 94
87.9%
> 12
 
11.2%
→ 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
, 28
54.9%
: 12
23.5%
/ 11
 
21.6%
Uppercase Letter
ValueCountFrequency (%)
K 2
33.3%
T 2
33.3%
X 2
33.3%
Lowercase Letter
ValueCountFrequency (%)
r 8
50.0%
o 8
50.0%
Space Separator
ValueCountFrequency (%)
186
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2844
83.3%
Common 547
 
16.0%
Latin 22
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
역 326
 
11.5%
시 105
 
3.7%
장 98
 
3.4%
천 96
 
3.4%
구 71
 
2.5%
터 64
 
2.3%
대 62
 
2.2%
미 60
 
2.1%
출 55
 
1.9%
승 52
 
1.8%
Other values (190) 1855
65.2%
Common
ValueCountFrequency (%)
186
34.0%
+ 94
17.2%
) 44
 
8.0%
( 42
 
7.7%
0 39
 
7.1%
, 28
 
5.1%
1 23
 
4.2%
3 22
 
4.0%
2 18
 
3.3%
> 12
 
2.2%
Other values (6) 39
 
7.1%
Latin
ValueCountFrequency (%)
r 8
36.4%
o 8
36.4%
K 2
 
9.1%
T 2
 
9.1%
X 2
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2844
83.3%
ASCII 568
 
16.6%
Arrows 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
역 326
 
11.5%
시 105
 
3.7%
장 98
 
3.4%
천 96
 
3.4%
구 71
 
2.5%
터 64
 
2.3%
대 62
 
2.2%
미 60
 
2.1%
출 55
 
1.9%
승 52
 
1.8%
Other values (190) 1855
65.2%
ASCII
ValueCountFrequency (%)
186
32.7%
+ 94
16.5%
) 44
 
7.7%
( 42
 
7.4%
0 39
 
6.9%
, 28
 
4.9%
1 23
 
4.0%
3 22
 
3.9%
2 18
 
3.2%
> 12
 
2.1%
Other values (10) 60
 
10.6%
Arrows
ValueCountFrequency (%)
→ 1
100.0%

시티투어코스정보
Text

Distinct303
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-05-11T16:50:38.209478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length335
Median length106
Mean length60.126126
Min length3

Characters and Unicode

Total characters20022
Distinct characters614
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique273 ?
Unique (%)82.0%

Sample

1st row명소투어+문화투어+힐링투어
2nd row평화누리호코스(평화누리호-평화의댐-화천시장-산천어커피박물관&산타우체국-화천박물관)
3rd row백암산케이블카코스(백암산케이블카-화천시장-산타우체국&커피박물관-화천박물관)
4th row전주 한옥마을(09:00)-전주역(09:15)-채석강주차장(10:50)-채석강(자율중식)-고사포해안도로(13:10)-내소사(14:00)-곰소젓갈발효센터(15:15)-채석강주차장(16:25)-전주역(18:00)-전주한옥마을(18:15)
5th row서울→한국민속촌→수원화성→수원 남문시장→서울
ValueCountFrequency (%)
360
 
16.4%
→ 259
 
11.8%
대전역 58
 
2.6%
및 23
 
1.0%
코스 17
 
0.8%
안동역 13
 
0.6%
중식 13
 
0.6%
서울 13
 
0.6%
↔ 10
 
0.5%
1일차 10
 
0.5%
Other values (970) 1421
64.7%
2024-05-11T16:50:39.039396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1889
 
9.4%
- 1301
 
6.5%
역 454
 
2.3%
→ 431
 
2.2%
) 393
 
2.0%
( 385
 
1.9%
관 326
 
1.6%
장 297
 
1.5%
원 287
 
1.4%
산 263
 
1.3%
Other values (604) 13996
69.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14427
72.1%
Space Separator 1889
 
9.4%
Dash Punctuation 1301
 
6.5%
Math Symbol 643
 
3.2%
Decimal Number 491
 
2.5%
Close Punctuation 414
 
2.1%
Open Punctuation 406
 
2.0%
Other Punctuation 376
 
1.9%
Uppercase Letter 48
 
0.2%
Lowercase Letter 13
 
0.1%
Other values (2) 14
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
역 454
 
3.1%
관 326
 
2.3%
장 297
 
2.1%
원 287
 
2.0%
산 263
 
1.8%
시 242
 
1.7%
대 236
 
1.6%
천 228
 
1.6%
사 208
 
1.4%
전 202
 
1.4%
Other values (540) 11684
81.0%
Uppercase Letter
ValueCountFrequency (%)
K 7
14.6%
M 5
10.4%
D 4
 
8.3%
Z 4
 
8.3%
X 4
 
8.3%
T 4
 
8.3%
B 3
 
6.2%
A 3
 
6.2%
P 2
 
4.2%
I 2
 
4.2%
Other values (9) 10
20.8%
Other Number
ValueCountFrequency (%)
⑫ 2
16.7%
⑩ 1
8.3%
⑨ 1
8.3%
⑧ 1
8.3%
⑦ 1
8.3%
⑥ 1
8.3%
⑤ 1
8.3%
④ 1
8.3%
③ 1
8.3%
② 1
8.3%
Decimal Number
ValueCountFrequency (%)
1 139
28.3%
0 126
25.7%
2 59
12.0%
5 43
 
8.8%
3 33
 
6.7%
4 28
 
5.7%
8 24
 
4.9%
6 16
 
3.3%
9 13
 
2.6%
7 10
 
2.0%
Math Symbol
ValueCountFrequency (%)
→ 431
67.0%
+ 70
 
10.9%
⇒ 62
 
9.6%
> 60
 
9.3%
↔ 10
 
1.6%
~ 8
 
1.2%
∼ 2
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 124
33.0%
: 112
29.8%
/ 65
17.3%
& 33
 
8.8%
· 26
 
6.9%
. 15
 
4.0%
* 1
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
o 6
46.2%
r 6
46.2%
m 1
 
7.7%
Close Punctuation
ValueCountFrequency (%)
) 393
94.9%
] 21
 
5.1%
Open Punctuation
ValueCountFrequency (%)
( 385
94.8%
[ 21
 
5.2%
Space Separator
ValueCountFrequency (%)
1889
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1301
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14427
72.1%
Common 5534
 
27.6%
Latin 61
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
역 454
 
3.1%
관 326
 
2.3%
장 297
 
2.1%
원 287
 
2.0%
산 263
 
1.8%
시 242
 
1.7%
대 236
 
1.6%
천 228
 
1.6%
사 208
 
1.4%
전 202
 
1.4%
Other values (540) 11684
81.0%
Common
ValueCountFrequency (%)
1889
34.1%
- 1301
23.5%
→ 431
 
7.8%
) 393
 
7.1%
( 385
 
7.0%
1 139
 
2.5%
0 126
 
2.3%
, 124
 
2.2%
: 112
 
2.0%
+ 70
 
1.3%
Other values (32) 564
 
10.2%
Latin
ValueCountFrequency (%)
K 7
11.5%
o 6
 
9.8%
r 6
 
9.8%
M 5
 
8.2%
D 4
 
6.6%
Z 4
 
6.6%
X 4
 
6.6%
T 4
 
6.6%
B 3
 
4.9%
A 3
 
4.9%
Other values (12) 15
24.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14426
72.1%
ASCII 5052
 
25.2%
Arrows 503
 
2.5%
None 26
 
0.1%
Enclosed Alphanum 12
 
0.1%
Math Operators 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1889
37.4%
- 1301
25.8%
) 393
 
7.8%
( 385
 
7.6%
1 139
 
2.8%
0 126
 
2.5%
, 124
 
2.5%
: 112
 
2.2%
+ 70
 
1.4%
/ 65
 
1.3%
Other values (38) 448
 
8.9%
Hangul
ValueCountFrequency (%)
역 454
 
3.1%
관 326
 
2.3%
장 297
 
2.1%
원 287
 
2.0%
산 263
 
1.8%
시 242
 
1.7%
대 236
 
1.6%
천 228
 
1.6%
사 208
 
1.4%
전 202
 
1.4%
Other values (539) 11683
81.0%
Arrows
ValueCountFrequency (%)
→ 431
85.7%
⇒ 62
 
12.3%
↔ 10
 
2.0%
None
ValueCountFrequency (%)
· 26
100.0%
Math Operators
ValueCountFrequency (%)
∼ 2
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
⑫ 2
16.7%
⑩ 1
8.3%
⑨ 1
8.3%
⑧ 1
8.3%
⑦ 1
8.3%
⑥ 1
8.3%
⑤ 1
8.3%
④ 1
8.3%
③ 1
8.3%
② 1
8.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

경유지주변관광정보
Text

MISSING 

Distinct53
Distinct (%)55.8%
Missing238
Missing (%)71.5%
Memory size2.7 KiB
2024-05-11T16:50:39.435550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length115
Median length69
Mean length33.578947
Min length2

Characters and Unicode

Total characters3190
Distinct characters359
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

Unique28 ?
Unique (%)29.5%

Sample

1st row금오산+박정희대통령생가+새마을운동테마공원+도리사+신라불교초전지+구미에코랜드+죽장리 5층석탑 등
2nd row미륵바위쉼터+파로호+세계평화의종+파로호안보전시관
3rd row양의대하천습지+살랑교+붕어섬+산천어파크골프장
4th row채석강+고사포해수욕장+변산해수욕장+내소사
5th row유리섬박물관 + 동춘서커스 + 종현어촌체험마을 + 베르아델승마클럽
ValueCountFrequency (%)
등 12
 
4.5%
홈페이지 9
 
3.4%
참조 9
 
3.4%
및 9
 
3.4%
리플릿 9
 
3.4%
최고인기 7
 
2.6%
7
 
2.6%
연안습지 7
 
2.6%
선정)+순천만습지(세계5대 7
 
2.6%
관광지 7
 
2.6%
Other values (115) 184
68.9%
2024-05-11T16:50:40.114445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 260
 
8.2%
172
 
5.4%
지 63
 
2.0%
리 56
 
1.8%
관 52
 
1.6%
장 51
 
1.6%
시 49
 
1.5%
대 49
 
1.5%
원 47
 
1.5%
) 44
 
1.4%
Other values (349) 2347
73.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2552
80.0%
Math Symbol 261
 
8.2%
Space Separator 172
 
5.4%
Decimal Number 74
 
2.3%
Close Punctuation 44
 
1.4%
Open Punctuation 44
 
1.4%
Other Punctuation 41
 
1.3%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 63
 
2.5%
리 56
 
2.2%
관 52
 
2.0%
장 51
 
2.0%
시 49
 
1.9%
대 49
 
1.9%
원 47
 
1.8%
이 42
 
1.6%
천 39
 
1.5%
국 35
 
1.4%
Other values (328) 2069
81.1%
Decimal Number
ValueCountFrequency (%)
1 20
27.0%
2 15
20.3%
0 12
16.2%
5 11
14.9%
9 8
 
10.8%
3 2
 
2.7%
8 2
 
2.7%
6 2
 
2.7%
4 1
 
1.4%
7 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
, 36
87.8%
: 3
 
7.3%
. 1
 
2.4%
/ 1
 
2.4%
Math Symbol
ValueCountFrequency (%)
+ 260
99.6%
~ 1
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
172
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2552
80.0%
Common 636
 
19.9%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 63
 
2.5%
리 56
 
2.2%
관 52
 
2.0%
장 51
 
2.0%
시 49
 
1.9%
대 49
 
1.9%
원 47
 
1.8%
이 42
 
1.6%
천 39
 
1.5%
국 35
 
1.4%
Other values (328) 2069
81.1%
Common
ValueCountFrequency (%)
+ 260
40.9%
172
27.0%
) 44
 
6.9%
( 44
 
6.9%
, 36
 
5.7%
1 20
 
3.1%
2 15
 
2.4%
0 12
 
1.9%
5 11
 
1.7%
9 8
 
1.3%
Other values (9) 14
 
2.2%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2551
80.0%
ASCII 638
 
20.0%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 260
40.8%
172
27.0%
) 44
 
6.9%
( 44
 
6.9%
, 36
 
5.6%
1 20
 
3.1%
2 15
 
2.4%
0 12
 
1.9%
5 11
 
1.7%
9 8
 
1.3%
Other values (11) 16
 
2.5%
Hangul
ValueCountFrequency (%)
지 63
 
2.5%
리 56
 
2.2%
관 52
 
2.0%
장 51
 
2.0%
시 49
 
1.9%
대 49
 
1.9%
원 47
 
1.8%
이 42
 
1.6%
천 39
 
1.5%
국 35
 
1.4%
Other values (327) 2068
81.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

시티투어코스부가정보
Categorical

IMBALANCE 

Distinct37
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
233 
코스 변경 불가
 
13
홈페이지 및 리플릿 참조
 
9
홍대입구역 3번출구+운정역 1번출구
 
7
관광가이드 탑승 해설
 
6
Other values (32)
65 

Length

Max length42
Median length4
Mean length7.6276276
Min length4

Unique

Unique15 ?
Unique (%)4.5%

Sample

1st row희망코스 선택가능+날씨 등 사정에 따라 변경가능
2nd row평화누리호 선박 이용시 신분증 필수지참
3rd row민통선 통과 시 신분증 필수지참
4th row전주탑승 및 채석강 탑승 가능
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 233
70.0%
코스 변경 불가 13
 
3.9%
홈페이지 및 리플릿 참조 9
 
2.7%
홍대입구역 3번출구+운정역 1번출구 7
 
2.1%
관광가이드 탑승 해설 6
 
1.8%
입장료+식비+여행자보험+크루즈이용료 개별부담 5
 
1.5%
자유중식 5
 
1.5%
단체맞춤형(25인이상 단체 사전 예약 시 희망하는 장소에서 픽업 가능) 5
 
1.5%
20인 이상 예약제 4
 
1.2%
선착순 정원제 탑승 4
 
1.2%
Other values (27) 42
 
12.6%

Length

2024-05-11T16:50:40.413703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 233
39.2%
코스 18
 
3.0%
및 18
 
3.0%
변경 14
 
2.4%
불가 13
 
2.2%
탑승 12
 
2.0%
가능 10
 
1.7%
참조 9
 
1.5%
리플릿 9
 
1.5%
홈페이지 9
 
1.5%
Other values (103) 249
41.9%

운행정보
Text

Distinct135
Distinct (%)40.7%
Missing1
Missing (%)0.3%
Memory size2.7 KiB
2024-05-11T16:50:40.794463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length147
Median length41
Mean length16.289157
Min length1

Characters and Unicode

Total characters5408
Distinct characters197
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)20.5%

Sample

1st row연중 수시운행(최소인원 15명)
2nd row10:00~17:00
3rd row10:00~16:00
4th row토요일+주1회+5인이상시운행
5th row현재 미운영 중으로 2024년4월1일 이후 재운행 예정임
ValueCountFrequency (%)
매주 123
 
10.2%
연중 44
 
3.6%
운행 35
 
2.9%
이상 28
 
2.3%
16
 
1.3%
토-일요일 15
 
1.2%
토요일 15
 
1.2%
월-일요일 14
 
1.2%
및 13
 
1.1%
운영 13
 
1.1%
Other values (261) 893
73.9%
2024-05-11T16:50:41.588913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
877
 
16.2%
일 337
 
6.2%
주 170
 
3.1%
1 169
 
3.1%
매 162
 
3.0%
+ 148
 
2.7%
월 129
 
2.4%
운 125
 
2.3%
요 113
 
2.1%
0 100
 
1.8%
Other values (187) 3078
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3464
64.1%
Space Separator 877
 
16.2%
Decimal Number 522
 
9.7%
Math Symbol 240
 
4.4%
Close Punctuation 90
 
1.7%
Open Punctuation 89
 
1.6%
Other Punctuation 72
 
1.3%
Dash Punctuation 48
 
0.9%
Connector Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 337
 
9.7%
주 170
 
4.9%
매 162
 
4.7%
월 129
 
3.7%
운 125
 
3.6%
요 113
 
3.3%
토 91
 
2.6%
행 82
 
2.4%
이 80
 
2.3%
중 67
 
1.9%
Other values (165) 2108
60.9%
Decimal Number
ValueCountFrequency (%)
1 169
32.4%
0 100
19.2%
4 66
 
12.6%
2 61
 
11.7%
5 31
 
5.9%
3 26
 
5.0%
7 23
 
4.4%
9 19
 
3.6%
6 15
 
2.9%
8 12
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 28
38.9%
, 22
30.6%
: 17
23.6%
/ 4
 
5.6%
· 1
 
1.4%
Math Symbol
ValueCountFrequency (%)
+ 148
61.7%
~ 92
38.3%
Space Separator
ValueCountFrequency (%)
877
100.0%
Close Punctuation
ValueCountFrequency (%)
) 90
100.0%
Open Punctuation
ValueCountFrequency (%)
( 89
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3464
64.1%
Common 1944
35.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 337
 
9.7%
주 170
 
4.9%
매 162
 
4.7%
월 129
 
3.7%
운 125
 
3.6%
요 113
 
3.3%
토 91
 
2.6%
행 82
 
2.4%
이 80
 
2.3%
중 67
 
1.9%
Other values (165) 2108
60.9%
Common
ValueCountFrequency (%)
877
45.1%
1 169
 
8.7%
+ 148
 
7.6%
0 100
 
5.1%
~ 92
 
4.7%
) 90
 
4.6%
( 89
 
4.6%
4 66
 
3.4%
2 61
 
3.1%
- 48
 
2.5%
Other values (12) 204
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3464
64.1%
ASCII 1943
35.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
877
45.1%
1 169
 
8.7%
+ 148
 
7.6%
0 100
 
5.1%
~ 92
 
4.7%
) 90
 
4.6%
( 89
 
4.6%
4 66
 
3.4%
2 61
 
3.1%
- 48
 
2.5%
Other values (11) 203
 
10.4%
Hangul
ValueCountFrequency (%)
일 337
 
9.7%
주 170
 
4.9%
매 162
 
4.7%
월 129
 
3.7%
운 125
 
3.6%
요 113
 
3.3%
토 91
 
2.6%
행 82
 
2.4%
이 80
 
2.3%
중 67
 
1.9%
Other values (165) 2108
60.9%
None
ValueCountFrequency (%)
· 1
100.0%

운행시작시각
Categorical

Distinct39
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
10:00
72 
09:30
52 
09:00
47 
10:30
44 
09:50
11 
Other values (34)
107 

Length

Max length5
Median length5
Mean length4.996997
Min length4

Unique

Unique13 ?
Unique (%)3.9%

Sample

1st row09:00
2nd row10:00
3rd row10:00
4th row09:00
5th row08:20

Common Values

ValueCountFrequency (%)
10:00 72
21.6%
09:30 52
15.6%
09:00 47
14.1%
10:30 44
13.2%
09:50 11
 
3.3%
14:00 9
 
2.7%
11:00 8
 
2.4%
09:20 8
 
2.4%
08:30 7
 
2.1%
10:20 7
 
2.1%
Other values (29) 68
20.4%

Length

2024-05-11T16:50:41.847713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10:00 72
21.6%
09:30 52
15.6%
09:00 47
14.1%
10:30 44
13.2%
09:50 11
 
3.3%
14:00 9
 
2.7%
11:00 8
 
2.4%
09:20 8
 
2.4%
10:20 7
 
2.1%
08:30 7
 
2.1%
Other values (29) 68
20.4%

운행종료시각
Categorical

Distinct45
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
17:00
85 
17:30
47 
18:00
39 
16:00
19 
16:30
 
13
Other values (40)
130 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique14 ?
Unique (%)4.2%

Sample

1st row16:00
2nd row17:00
3rd row16:00
4th row18:15
5th row19:20

Common Values

ValueCountFrequency (%)
17:00 85
25.5%
17:30 47
14.1%
18:00 39
11.7%
16:00 19
 
5.7%
16:30 13
 
3.9%
19:00 11
 
3.3%
17:20 11
 
3.3%
17:50 9
 
2.7%
19:28 8
 
2.4%
19:30 7
 
2.1%
Other values (35) 84
25.2%

Length

2024-05-11T16:50:42.087647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
17:00 85
25.5%
17:30 47
14.1%
18:00 39
11.7%
16:00 19
 
5.7%
16:30 13
 
3.9%
19:00 11
 
3.3%
17:20 11
 
3.3%
17:50 9
 
2.7%
19:28 8
 
2.4%
19:30 7
 
2.1%
Other values (35) 84
25.2%

배차시간
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)7.2%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean97.704819
Minimum0
Maximum1440
Zeros202
Zeros (%)60.7%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-05-11T16:50:42.305484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q340
95-th percentile523.5
Maximum1440
Range1440
Interquartile range (IQR)40

Descriptive statistics

Standard deviation285.6188
Coefficient of variation (CV)2.9232826
Kurtosis15.241943
Mean97.704819
Median Absolute Deviation (MAD)0
Skewness3.9250662
Sum32438
Variance81578.1
MonotonicityNot monotonic
2024-05-11T16:50:42.537587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 202
60.7%
40 26
 
7.8%
60 24
 
7.2%
1440 12
 
3.6%
24 8
 
2.4%
1 8
 
2.4%
450 6
 
1.8%
30 6
 
1.8%
120 5
 
1.5%
50 5
 
1.5%
Other values (14) 30
 
9.0%
ValueCountFrequency (%)
0 202
60.7%
1 8
 
2.4%
3 1
 
0.3%
24 8
 
2.4%
30 6
 
1.8%
40 26
 
7.8%
45 2
 
0.6%
50 5
 
1.5%
60 24
 
7.2%
65 1
 
0.3%
ValueCountFrequency (%)
1440 12
3.6%
720 1
 
0.3%
540 4
 
1.2%
510 1
 
0.3%
480 1
 
0.3%
450 6
1.8%
440 4
 
1.2%
420 4
 
1.2%
280 1
 
0.3%
150 2
 
0.6%

이용요금
Text

Distinct116
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-05-11T16:50:42.956600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length118
Median length62
Mean length28.099099
Min length1

Characters and Unicode

Total characters9357
Distinct characters175
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)14.4%

Sample

1st row1인당 4000원
2nd row성인.청소년 21900원
3rd row성인.청소년 23900원
4th row전주출발성인10000원+부안출발성인6000원
5th row65
ValueCountFrequency (%)
성인 41
 
3.6%
이상 40
 
3.5%
무료 37
 
3.2%
4000원 35
 
3.1%
미만 33
 
2.9%
대인 28
 
2.5%
및 25
 
2.2%
4,000원 24
 
2.1%
이하 23
 
2.0%
4000원+경로(만65세 22
 
1.9%
Other values (225) 831
73.0%
2024-05-11T16:50:43.732963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2096
22.4%
806
 
8.6%
원 672
 
7.2%
+ 496
 
5.3%
인 362
 
3.9%
4 226
 
2.4%
이 185
 
2.0%
1 182
 
1.9%
5 161
 
1.7%
) 151
 
1.6%
Other values (165) 4020
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4382
46.8%
Decimal Number 3202
34.2%
Space Separator 806
 
8.6%
Math Symbol 500
 
5.3%
Other Punctuation 158
 
1.7%
Close Punctuation 151
 
1.6%
Open Punctuation 151
 
1.6%
Uppercase Letter 6
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 672
 
15.3%
인 362
 
8.3%
이 185
 
4.2%
성 131
 
3.0%
로 116
 
2.6%
세 109
 
2.5%
만 101
 
2.3%
경 100
 
2.3%
장 99
 
2.3%
애 98
 
2.2%
Other values (141) 2409
55.0%
Decimal Number
ValueCountFrequency (%)
0 2096
65.5%
4 226
 
7.1%
1 182
 
5.7%
5 161
 
5.0%
3 128
 
4.0%
2 120
 
3.7%
6 110
 
3.4%
8 78
 
2.4%
9 75
 
2.3%
7 26
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 72
45.6%
· 67
42.4%
/ 14
 
8.9%
. 4
 
2.5%
: 1
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
C 2
33.3%
B 2
33.3%
A 2
33.3%
Math Symbol
ValueCountFrequency (%)
+ 496
99.2%
~ 4
 
0.8%
Space Separator
ValueCountFrequency (%)
806
100.0%
Close Punctuation
ValueCountFrequency (%)
) 151
100.0%
Open Punctuation
ValueCountFrequency (%)
( 151
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4969
53.1%
Hangul 4382
46.8%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 672
 
15.3%
인 362
 
8.3%
이 185
 
4.2%
성 131
 
3.0%
로 116
 
2.6%
세 109
 
2.5%
만 101
 
2.3%
경 100
 
2.3%
장 99
 
2.3%
애 98
 
2.2%
Other values (141) 2409
55.0%
Common
ValueCountFrequency (%)
0 2096
42.2%
806
 
16.2%
+ 496
 
10.0%
4 226
 
4.5%
1 182
 
3.7%
5 161
 
3.2%
) 151
 
3.0%
( 151
 
3.0%
3 128
 
2.6%
2 120
 
2.4%
Other values (11) 452
 
9.1%
Latin
ValueCountFrequency (%)
C 2
33.3%
B 2
33.3%
A 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4908
52.5%
Hangul 4362
46.6%
None 67
 
0.7%
Compat Jamo 20
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2096
42.7%
806
 
16.4%
+ 496
 
10.1%
4 226
 
4.6%
1 182
 
3.7%
5 161
 
3.3%
) 151
 
3.1%
( 151
 
3.1%
3 128
 
2.6%
2 120
 
2.4%
Other values (13) 391
 
8.0%
Hangul
ValueCountFrequency (%)
원 672
 
15.4%
인 362
 
8.3%
이 185
 
4.2%
성 131
 
3.0%
로 116
 
2.7%
세 109
 
2.5%
만 101
 
2.3%
경 100
 
2.3%
장 99
 
2.3%
애 98
 
2.2%
Other values (140) 2389
54.8%
None
ValueCountFrequency (%)
· 67
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 20
100.0%

이용요금부가정보
Text

MISSING 

Distinct82
Distinct (%)36.8%
Missing110
Missing (%)33.0%
Memory size2.7 KiB
2024-05-11T16:50:44.210476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length193
Median length57
Mean length29.789238
Min length4

Characters and Unicode

Total characters6643
Distinct characters242
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)17.9%

Sample

1st row식대, 입장료, 보험료 등 본인부담
2nd row중식제공+커피박물관 커피제공+5천원상품권제공
3rd row중식미제공+입장료제공(백암산케이블카,커피박물관)+커피박물관 커피제공
4th row점심 불포함
5th row점심 불포함
ValueCountFrequency (%)
55
 
5.0%
입장료 55
 
5.0%
관광지 52
 
4.7%
무료 48
 
4.3%
20인이상 40
 
3.6%
단체 32
 
2.9%
3,000원 32
 
2.9%
만36개월-초등학생 30
 
2.7%
국가유공자 30
 
2.7%
만65세이상 30
 
2.7%
Other values (209) 706
63.6%
2024-05-11T16:50:45.063356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
887
 
13.4%
0 319
 
4.8%
, 207
 
3.1%
+ 195
 
2.9%
인 183
 
2.8%
료 182
 
2.7%
이 155
 
2.3%
장 149
 
2.2%
3 126
 
1.9%
원 103
 
1.6%
Other values (232) 4137
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4227
63.6%
Space Separator 887
 
13.4%
Decimal Number 776
 
11.7%
Other Punctuation 259
 
3.9%
Math Symbol 215
 
3.2%
Close Punctuation 86
 
1.3%
Open Punctuation 86
 
1.3%
Dash Punctuation 62
 
0.9%
Uppercase Letter 24
 
0.4%
Other Symbol 14
 
0.2%
Other values (2) 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 183
 
4.3%
료 182
 
4.3%
이 155
 
3.7%
장 149
 
3.5%
원 103
 
2.4%
체 99
 
2.3%
만 96
 
2.3%
입 95
 
2.2%
관 94
 
2.2%
자 90
 
2.1%
Other values (204) 2981
70.5%
Decimal Number
ValueCountFrequency (%)
0 319
41.1%
3 126
 
16.2%
6 101
 
13.0%
2 68
 
8.8%
5 65
 
8.4%
1 58
 
7.5%
4 11
 
1.4%
9 11
 
1.4%
7 11
 
1.4%
8 6
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 207
79.9%
· 27
 
10.4%
/ 19
 
7.3%
: 6
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
K 8
33.3%
T 8
33.3%
X 8
33.3%
Math Symbol
ValueCountFrequency (%)
+ 195
90.7%
~ 20
 
9.3%
Close Punctuation
ValueCountFrequency (%)
) 76
88.4%
] 10
 
11.6%
Open Punctuation
ValueCountFrequency (%)
( 76
88.4%
[ 10
 
11.6%
Space Separator
ValueCountFrequency (%)
887
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%
Other Symbol
ValueCountFrequency (%)
◎ 14
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4227
63.6%
Common 2391
36.0%
Latin 25
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 183
 
4.3%
료 182
 
4.3%
이 155
 
3.7%
장 149
 
3.5%
원 103
 
2.4%
체 99
 
2.3%
만 96
 
2.3%
입 95
 
2.2%
관 94
 
2.2%
자 90
 
2.1%
Other values (204) 2981
70.5%
Common
ValueCountFrequency (%)
887
37.1%
0 319
 
13.3%
, 207
 
8.7%
+ 195
 
8.2%
3 126
 
5.3%
6 101
 
4.2%
) 76
 
3.2%
( 76
 
3.2%
2 68
 
2.8%
5 65
 
2.7%
Other values (14) 271
 
11.3%
Latin
ValueCountFrequency (%)
K 8
32.0%
T 8
32.0%
X 8
32.0%
c 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4227
63.6%
ASCII 2375
35.8%
None 27
 
0.4%
Geometric Shapes 14
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
887
37.3%
0 319
 
13.4%
, 207
 
8.7%
+ 195
 
8.2%
3 126
 
5.3%
6 101
 
4.3%
) 76
 
3.2%
( 76
 
3.2%
2 68
 
2.9%
5 65
 
2.7%
Other values (16) 255
 
10.7%
Hangul
ValueCountFrequency (%)
인 183
 
4.3%
료 182
 
4.3%
이 155
 
3.7%
장 149
 
3.5%
원 103
 
2.4%
체 99
 
2.3%
만 96
 
2.3%
입 95
 
2.2%
관 94
 
2.2%
자 90
 
2.1%
Other values (204) 2981
70.5%
None
ValueCountFrequency (%)
· 27
100.0%
Geometric Shapes
ValueCountFrequency (%)
◎ 14
100.0%

홈페이지주소
Text

MISSING 

Distinct79
Distinct (%)25.8%
Missing27
Missing (%)8.1%
Memory size2.7 KiB
2024-05-11T16:50:45.506461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length136
Median length70
Mean length31.316993
Min length11

Characters and Unicode

Total characters9583
Distinct characters67
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)6.9%

Sample

1st rowhttp://www.구미관광시티투어.com
2nd rowhttps://www.romancetour.co.kr/niabbs5/inc.php?inc=sub1&c1=0000000010&c2=0000000063
3rd rowhttps://www.romancetour.co.kr/niabbs5/inc.php?inc=sub1&c1=0000000010&c2=0000000063
4th rowwww.iskytour.com
5th rowhttp://www.ansancitytour.com/
ValueCountFrequency (%)
www.daejeoncitytour.co.kr 30
 
9.8%
https://citytour.ticketplay.zone/portal/index 22
 
7.2%
http://tour.hscity.go.kr/citytour 13
 
4.2%
https://www.suncheon.go.kr/yeyak/0001/0015/list 10
 
3.3%
http://www.iksan.go.kr/tour 10
 
3.3%
www.daegucitytour.com 9
 
2.9%
www.gunsan.go.kr/tour 8
 
2.6%
http://ok.yeosu.go.kr 8
 
2.6%
www.korailtour.com 7
 
2.3%
http://www.seocheon.go.kr/tour/sub03_02_01.do 7
 
2.3%
Other values (69) 182
59.5%
2024-05-11T16:50:46.324251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 935
 
9.8%
. 833
 
8.7%
o 783
 
8.2%
/ 713
 
7.4%
w 682
 
7.1%
r 567
 
5.9%
c 377
 
3.9%
u 374
 
3.9%
0 327
 
3.4%
n 325
 
3.4%
Other values (57) 3667
38.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7066
73.7%
Other Punctuation 1789
 
18.7%
Decimal Number 541
 
5.6%
Uppercase Letter 60
 
0.6%
Math Symbol 44
 
0.5%
Other Letter 44
 
0.5%
Connector Punctuation 39
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 935
13.2%
o 783
 
11.1%
w 682
 
9.7%
r 567
 
8.0%
c 377
 
5.3%
u 374
 
5.3%
n 325
 
4.6%
e 320
 
4.5%
k 304
 
4.3%
h 283
 
4.0%
Other values (15) 2116
29.9%
Uppercase Letter
ValueCountFrequency (%)
C 13
21.7%
B 7
11.7%
S 6
10.0%
I 6
10.0%
M 6
10.0%
O 5
 
8.3%
D 5
 
8.3%
L 4
 
6.7%
H 2
 
3.3%
P 2
 
3.3%
Other values (4) 4
 
6.7%
Decimal Number
ValueCountFrequency (%)
0 327
60.4%
1 72
 
13.3%
5 28
 
5.2%
2 24
 
4.4%
3 24
 
4.4%
6 20
 
3.7%
7 18
 
3.3%
4 15
 
2.8%
8 10
 
1.8%
9 3
 
0.6%
Other Letter
ValueCountFrequency (%)
시 7
15.9%
티 7
15.9%
투 7
15.9%
어 7
15.9%
선 6
13.6%
정 6
13.6%
구 1
 
2.3%
관 1
 
2.3%
미 1
 
2.3%
광 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 833
46.6%
/ 713
39.9%
: 201
 
11.2%
& 23
 
1.3%
? 19
 
1.1%
Math Symbol
ValueCountFrequency (%)
= 42
95.5%
+ 2
 
4.5%
Connector Punctuation
ValueCountFrequency (%)
_ 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7126
74.4%
Common 2413
 
25.2%
Hangul 44
 
0.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 935
13.1%
o 783
 
11.0%
w 682
 
9.6%
r 567
 
8.0%
c 377
 
5.3%
u 374
 
5.2%
n 325
 
4.6%
e 320
 
4.5%
k 304
 
4.3%
h 283
 
4.0%
Other values (29) 2176
30.5%
Common
ValueCountFrequency (%)
. 833
34.5%
/ 713
29.5%
0 327
 
13.6%
: 201
 
8.3%
1 72
 
3.0%
= 42
 
1.7%
_ 39
 
1.6%
5 28
 
1.2%
2 24
 
1.0%
3 24
 
1.0%
Other values (8) 110
 
4.6%
Hangul
ValueCountFrequency (%)
시 7
15.9%
티 7
15.9%
투 7
15.9%
어 7
15.9%
선 6
13.6%
정 6
13.6%
구 1
 
2.3%
관 1
 
2.3%
미 1
 
2.3%
광 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9539
99.5%
Hangul 44
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 935
 
9.8%
. 833
 
8.7%
o 783
 
8.2%
/ 713
 
7.5%
w 682
 
7.1%
r 567
 
5.9%
c 377
 
4.0%
u 374
 
3.9%
0 327
 
3.4%
n 325
 
3.4%
Other values (47) 3623
38.0%
Hangul
ValueCountFrequency (%)
시 7
15.9%
티 7
15.9%
투 7
15.9%
어 7
15.9%
선 6
13.6%
정 6
13.6%
구 1
 
2.3%
관 1
 
2.3%
미 1
 
2.3%
광 1
 
2.3%

관리기관명
Text

Distinct90
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-05-11T16:50:46.735734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length9.0540541
Min length4

Characters and Unicode

Total characters3015
Distinct characters109
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)8.4%

Sample

1st row경상북도 구미시청
2nd row서울시 로망스투어
3rd row서울시 로망스투어
4th row전라북도 부안군청
5th row경기관광공사
ValueCountFrequency (%)
경기도 38
 
6.2%
전라남도 32
 
5.2%
충청남도 31
 
5.1%
대전광역시 30
 
4.9%
강원도 27
 
4.4%
강원특별자치도 24
 
3.9%
경상북도 23
 
3.8%
춘천시청 22
 
3.6%
전라북도 19
 
3.1%
관광과 18
 
2.9%
Other values (90) 348
56.9%
2024-05-11T16:50:47.517855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
279
 
9.3%
청 245
 
8.1%
도 233
 
7.7%
시 214
 
7.1%
광 139
 
4.6%
관 97
 
3.2%
전 94
 
3.1%
군 86
 
2.9%
경 84
 
2.8%
남 80
 
2.7%
Other values (99) 1464
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2719
90.2%
Space Separator 279
 
9.3%
Open Punctuation 6
 
0.2%
Close Punctuation 6
 
0.2%
Other Symbol 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 245
 
9.0%
도 233
 
8.6%
시 214
 
7.9%
광 139
 
5.1%
관 97
 
3.6%
전 94
 
3.5%
군 86
 
3.2%
경 84
 
3.1%
남 80
 
2.9%
천 66
 
2.4%
Other values (95) 1381
50.8%
Space Separator
ValueCountFrequency (%)
279
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2724
90.3%
Common 291
 
9.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 245
 
9.0%
도 233
 
8.6%
시 214
 
7.9%
광 139
 
5.1%
관 97
 
3.6%
전 94
 
3.5%
군 86
 
3.2%
경 84
 
3.1%
남 80
 
2.9%
천 66
 
2.4%
Other values (96) 1386
50.9%
Common
ValueCountFrequency (%)
279
95.9%
( 6
 
2.1%
) 6
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2719
90.2%
ASCII 291
 
9.7%
None 5
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
279
95.9%
( 6
 
2.1%
) 6
 
2.1%
Hangul
ValueCountFrequency (%)
청 245
 
9.0%
도 233
 
8.6%
시 214
 
7.9%
광 139
 
5.1%
관 97
 
3.6%
전 94
 
3.5%
군 86
 
3.2%
경 84
 
3.1%
남 80
 
2.9%
천 66
 
2.4%
Other values (95) 1381
50.8%
None
ValueCountFrequency (%)
㈜ 5
100.0%

관리기관전화번호
Text

Distinct86
Distinct (%)25.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-05-11T16:50:47.981959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.009009
Min length9

Characters and Unicode

Total characters3999
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

Unique22 ?
Unique (%)6.6%

Sample

1st row054-480-2662
2nd row02-318-1664
3rd row02-318-1664
4th row063-580-4395
5th row031-259-4700
ValueCountFrequency (%)
042-270-3971 30
 
9.0%
033-250-3654 20
 
6.0%
031-5189-6017 13
 
3.9%
031-259-4700 12
 
3.6%
061-749-5808 10
 
3.0%
063-859-5824 10
 
3.0%
053-746-0120 9
 
2.7%
033-330-2762 8
 
2.4%
061-659-3871 8
 
2.4%
063-454-3334 8
 
2.4%
Other values (76) 205
61.6%
2024-05-11T16:50:48.971231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 660
16.5%
0 652
16.3%
3 492
12.3%
4 333
8.3%
5 320
8.0%
1 309
7.7%
2 294
7.4%
6 281
7.0%
9 224
 
5.6%
8 219
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3339
83.5%
Dash Punctuation 660
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 652
19.5%
3 492
14.7%
4 333
10.0%
5 320
9.6%
1 309
9.3%
2 294
8.8%
6 281
8.4%
9 224
 
6.7%
8 219
 
6.6%
7 215
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 660
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3999
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 660
16.5%
0 652
16.3%
3 492
12.3%
4 333
8.3%
5 320
8.0%
1 309
7.7%
2 294
7.4%
6 281
7.0%
9 224
 
5.6%
8 219
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3999
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 660
16.5%
0 652
16.3%
3 492
12.3%
4 333
8.3%
5 320
8.0%
1 309
7.7%
2 294
7.4%
6 281
7.0%
9 224
 
5.6%
8 219
 
5.5%

데이터기준일자
Date

Distinct78
Distinct (%)23.4%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2020-06-29 00:00:00
Maximum2024-04-25 00:00:00
2024-05-11T16:50:49.243103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:50:49.506454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제공기관코드
Text

Distinct96
Distinct (%)28.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-05-11T16:50:50.134078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters2331
Distinct characters11
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

Unique34 ?
Unique (%)10.2%

Sample

1st row5080000
2nd row4311000
3rd row4311000
4th row4790000
5th rowB551328
ValueCountFrequency (%)
6300000 30
 
9.0%
4181000 13
 
3.9%
5530000 13
 
3.9%
b551328 12
 
3.6%
4820000 10
 
3.0%
4180000 9
 
2.7%
6270000 9
 
2.7%
4810000 8
 
2.4%
4580000 7
 
2.1%
6440000 7
 
2.1%
Other values (86) 215
64.6%
2024-05-11T16:50:51.155929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1297
55.6%
4 224
 
9.6%
5 158
 
6.8%
1 116
 
5.0%
3 103
 
4.4%
2 102
 
4.4%
6 101
 
4.3%
8 100
 
4.3%
7 59
 
2.5%
9 54
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2314
99.3%
Uppercase Letter 17
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1297
56.1%
4 224
 
9.7%
5 158
 
6.8%
1 116
 
5.0%
3 103
 
4.5%
2 102
 
4.4%
6 101
 
4.4%
8 100
 
4.3%
7 59
 
2.5%
9 54
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
B 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2314
99.3%
Latin 17
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1297
56.1%
4 224
 
9.7%
5 158
 
6.8%
1 116
 
5.0%
3 103
 
4.5%
2 102
 
4.4%
6 101
 
4.4%
8 100
 
4.3%
7 59
 
2.5%
9 54
 
2.3%
Latin
ValueCountFrequency (%)
B 17
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2331
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1297
55.6%
4 224
 
9.6%
5 158
 
6.8%
1 116
 
5.0%
3 103
 
4.4%
2 102
 
4.4%
6 101
 
4.3%
8 100
 
4.3%
7 59
 
2.5%
9 54
 
2.3%

제공기관명
Text

Distinct96
Distinct (%)28.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-05-11T16:50:51.568673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length7.6096096
Min length4

Characters and Unicode

Total characters2534
Distinct characters85
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)10.2%

Sample

1st row경상북도 구미시
2nd row강원특별자치도 화천군
3rd row강원특별자치도 화천군
4th row전라북도 부안군
5th row경기관광공사
ValueCountFrequency (%)
경기도 49
 
8.3%
충청남도 39
 
6.6%
강원특별자치도 32
 
5.4%
전라남도 32
 
5.4%
대전광역시 30
 
5.1%
강원도 30
 
5.1%
경상북도 23
 
3.9%
춘천시 22
 
3.7%
전라북도 17
 
2.9%
전북특별자치도 17
 
2.9%
Other values (79) 299
50.7%
2024-05-11T16:50:52.332890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 272
 
10.7%
257
 
10.1%
시 229
 
9.0%
경 100
 
3.9%
전 96
 
3.8%
남 89
 
3.5%
군 87
 
3.4%
천 66
 
2.6%
북 65
 
2.6%
원 65
 
2.6%
Other values (75) 1208
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2277
89.9%
Space Separator 257
 
10.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 272
 
11.9%
시 229
 
10.1%
경 100
 
4.4%
전 96
 
4.2%
남 89
 
3.9%
군 87
 
3.8%
천 66
 
2.9%
북 65
 
2.9%
원 65
 
2.9%
강 63
 
2.8%
Other values (74) 1145
50.3%
Space Separator
ValueCountFrequency (%)
257
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2277
89.9%
Common 257
 
10.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 272
 
11.9%
시 229
 
10.1%
경 100
 
4.4%
전 96
 
4.2%
남 89
 
3.9%
군 87
 
3.8%
천 66
 
2.9%
북 65
 
2.9%
원 65
 
2.9%
강 63
 
2.8%
Other values (74) 1145
50.3%
Common
ValueCountFrequency (%)
257
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2277
89.9%
ASCII 257
 
10.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 272
 
11.9%
시 229
 
10.1%
경 100
 
4.4%
전 96
 
4.2%
남 89
 
3.9%
군 87
 
3.8%
천 66
 
2.9%
북 65
 
2.9%
원 65
 
2.9%
강 63
 
2.8%
Other values (74) 1145
50.3%
ASCII
ValueCountFrequency (%)
257
100.0%

Sample

시도명시군구명시티투어코스명시티투어문의처시티투어운영시간시티투어운행방식시티투어탑승장소명시티투어코스정보경유지주변관광정보시티투어코스부가정보운행정보운행시작시각운행종료시각배차시간이용요금이용요금부가정보홈페이지주소관리기관명관리기관전화번호데이터기준일자제공기관코드제공기관명
0경상북도구미시구미관광 시티투어구미시 낭만축제과(480-2662)09:00 ~ 16:00고정형구미역+구미시청명소투어+문화투어+힐링투어금오산+박정희대통령생가+새마을운동테마공원+도리사+신라불교초전지+구미에코랜드+죽장리 5층석탑 등희망코스 선택가능+날씨 등 사정에 따라 변경가능연중 수시운행(최소인원 15명)09:0016:0001인당 4000원식대, 입장료, 보험료 등 본인부담http://www.구미관광시티투어.com경상북도 구미시청054-480-26622023-07-315080000경상북도 구미시
1강원특별자치도화천군화천시티투어(평화누리호)02-318-1664매주 토 10:00~17:00고정형서울시청역3번출구,종합운동장역3번출구,춘천역2번출구평화누리호코스(평화누리호-평화의댐-화천시장-산천어커피박물관&산타우체국-화천박물관)미륵바위쉼터+파로호+세계평화의종+파로호안보전시관평화누리호 선박 이용시 신분증 필수지참10:00~17:0010:0017:000성인.청소년 21900원중식제공+커피박물관 커피제공+5천원상품권제공https://www.romancetour.co.kr/niabbs5/inc.php?inc=sub1&c1=0000000010&c2=0000000063서울시 로망스투어02-318-16642023-07-184311000강원특별자치도 화천군
2강원특별자치도화천군화천시티투어(백암산케이블카)02-318-1664매주 토 10:00~17:00고정형서울시청역3번출구,종합운동장역3번출구,춘천역2번출구백암산케이블카코스(백암산케이블카-화천시장-산타우체국&커피박물관-화천박물관)양의대하천습지+살랑교+붕어섬+산천어파크골프장민통선 통과 시 신분증 필수지참10:00~16:0010:0016:000성인.청소년 23900원중식미제공+입장료제공(백암산케이블카,커피박물관)+커피박물관 커피제공https://www.romancetour.co.kr/niabbs5/inc.php?inc=sub1&c1=0000000010&c2=0000000063서울시 로망스투어02-318-16642023-07-184311000강원특별자치도 화천군
3전라북도부안군(현재 미운행 중)부안 시티투어스카이항공 063-252-2988매주토요일순환형(향후 운행계획 미정)전주한옥마을전주 한옥마을(09:00)-전주역(09:15)-채석강주차장(10:50)-채석강(자율중식)-고사포해안도로(13:10)-내소사(14:00)-곰소젓갈발효센터(15:15)-채석강주차장(16:25)-전주역(18:00)-전주한옥마을(18:15)채석강+고사포해수욕장+변산해수욕장+내소사전주탑승 및 채석강 탑승 가능토요일+주1회+5인이상시운행09:0018:150전주출발성인10000원+부안출발성인6000원<NA>www.iskytour.com전라북도 부안군청063-580-43952023-09-204790000전라북도 부안군
4경기도없음EG투어버스 J코스02-2038-0840수고정형홍대입구역/남산예장버스터니널/ 동대문역사문화공원역서울→한국민속촌→수원화성→수원 남문시장→서울<NA><NA>현재 미운영 중으로 2024년4월1일 이후 재운행 예정임08:2019:20065점심 불포함<NA>경기관광공사031-259-47002024-02-01B551328경기관광공사
5경기도없음EG투어버스 K 코스02-2038-0840일고정형홍대입구역/남산예장버스터니널/ 동대문역사문화공원역서울→포천아트밸리→허브아일랜드→농장체험→서울<NA><NA>현재 미운영 중으로 2024년4월1일 이후 재운행 예정임08:2017:50077점심 불포함<NA>경기관광공사031-259-47002024-02-01B551328경기관광공사
6경기도안산시안산시티투어(대부권)1899-7687화+토+일(09:30~16:30)고정형중앙역 2번 출구출발(중앙역) → 시화호조력발전소 → 대송습지 → 대부해솔길1코스 → 중식 → 탄도항과 누에섬 → 도착(다문화거리/중앙역)유리섬박물관 + 동춘서커스 + 종현어촌체험마을 + 베르아델승마클럽20인 이상 예약제단체 20인 이상 맞춤코스운영09:3016:000성인 6000원(청소년+경로자+군인 4000원)입장료+체험비+식사비 별도http://www.ansancitytour.com/㈜온누리관광여행사1899-76872023-12-133930000경기도 안산시
7경기도안산시안산시티투어(대부권)1899-7687화~일(09:30~19:00)고정형광화문역 6번 출구출발(광화문역) → 시화호조력발전소 → 대송습지 → 대부해솔길1코스 → 중식 → 탄도항과 누에섬 → 도착(광화문역)유리섬박물관 + 동춘서커스 + 종현어촌체험마을 + 베르아델승마클럽20인 이상 예약제단체 20인 이상 맞춤코스운영09:3019:0001인 9900원입장료+체험비+식사비 별도http://www.ansancitytour.com/㈜온누리관광여행사1899-76872023-12-133930000경기도 안산시
8경기도고양시금요고양나들이이코리아투어 1533-3158금고정형정발산역 2번출구 시티투어 승강장이신의선생 기념관-중남미문화원<NA><NA>매주 금요일 운행10:0016:000성인6000원+기타4000원입장료 및 체험료 별도www.goyangcitytour.modoo.at경기도 고양시 관광과031-8075-34072024-02-133940000경기도 고양시
9경기도고양시볍씨의 발견이코리아투어 1533-3158토고정형정발산역 2번출구 시티투어 승강장가와지볍씨 박물관-밤가시초가-열두톨 쿠키만들기 체험<NA><NA>매주 토요일 운행10:0016:000성인6000원+기타4000원입장료 및 체험료 별도www.goyangcitytour.modoo.at경기도 고양시 관광과031-8075-34072024-02-133940000경기도 고양시
시도명시군구명시티투어코스명시티투어문의처시티투어운영시간시티투어운행방식시티투어탑승장소명시티투어코스정보경유지주변관광정보시티투어코스부가정보운행정보운행시작시각운행종료시각배차시간이용요금이용요금부가정보홈페이지주소관리기관명관리기관전화번호데이터기준일자제공기관코드제공기관명
323충청남도부여군축제로 만나는 부여 여행백제에서 놀자 041-836-3698해당일 10:30 출발고정형부여터미널터미널 -부여박물관 -백제문화단지 - 규암공예마을 -궁남지 -터미널<NA><NA>7월 14~16일+9월 17~18일+9월 24~25일+10월 1~9일10:3019:3014405000<NA><NA>충청남도 부여군청041-830-22182023-11-304570000충청남도 부여군
324경기도없음EG투어버스 A코스02-398-6614화고정형회현역서울→DMZ투어(곤돌라)→오두산 통일전망대→JSA투어→서울<NA><NA>현재 미운영 중으로 2024년4월1일 이후 재운행 예정임08:0017:300160점심포함<NA>경기관광공사031-259-47002024-02-01B551328경기관광공사
325경기도없음EG투어버스 B코스02-398-6614목고정형회현역서울→대부도 동춘서커스→서해랑케이블카→대부도 저녁식사→서울<NA><NA>현재 미운영 중으로 2024년4월1일 이후 재운행 예정임12:3019:10088석식포함<NA>경기관광공사031-259-47002024-02-01B551328경기관광공사
326경기도없음EG투어버스 C코스02-398-6614수고정형회현역서울→광명동굴→IKEA&롯데아울렛→광명 전통시장→도덕산 출렁다리→서울<NA><NA>현재 미운영 중으로 2024년4월1일 이후 재운행 예정임09:0018:00049점심 불포함<NA>경기관광공사031-259-47002024-02-01B551328경기관광공사
327경기도없음EG투어버스 D코스031-403-7963금토일고정형홍대입구역서울→시흥프리미엄아울렛→웨이브파크→전곡항 요트투어→서울<NA><NA>현재 미운영 중으로 2024년4월1일 이후 재운행 예정임10:0021:00058점심 불포함<NA>경기관광공사031-259-47002024-02-01B551328경기관광공사
328경기도없음EG투어버스 E코스02-2238-2895토일고정형홍대입구역/건대입구역서울→부천중동 사랑시장→부천한옥마을→한국만화박물관→부천아트벙커B39→서울<NA><NA>현재 미운영 중으로 2024년4월1일 이후 재운행 예정임10:5019:40038점심 불포함<NA>경기관광공사031-259-47002024-02-01B551328경기관광공사
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