Overview

Dataset statistics

Number of variables20
Number of observations56
Missing cells46
Missing cells (%)4.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.9 KiB
Average record size in memory163.4 B

Variable types

Categorical15
Text5

Dataset

Description시티투어 정보 현황(제공표준)
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=5HHJ6JQS3E4ZY43WI3Z526017177&infSeq=1

Alerts

시도명 has constant value ""Constant
홈페이지주소 is highly overall correlated with 시군구명 and 12 other fieldsHigh correlation
운행종료시각 is highly overall correlated with 시티투어문의처 and 7 other fieldsHigh correlation
관리기관전화번호 is highly overall correlated with 시군구명 and 10 other fieldsHigh correlation
이용요금부가정보 is highly overall correlated with 시군구명 and 12 other fieldsHigh correlation
시티투어문의처 is highly overall correlated with 시군구명 and 12 other fieldsHigh correlation
운행시작시각 is highly overall correlated with 시티투어문의처 and 5 other fieldsHigh correlation
데이터기준일자 is highly overall correlated with 시군구명 and 10 other fieldsHigh correlation
시티투어코스부가정보 is highly overall correlated with 시군구명 and 12 other fieldsHigh correlation
시티투어탑승장소명 is highly overall correlated with 시군구명 and 12 other fieldsHigh correlation
관리기관명 is highly overall correlated with 시군구명 and 10 other fieldsHigh correlation
시군구명 is highly overall correlated with 시티투어문의처 and 10 other fieldsHigh correlation
시티투어운행방식 is highly overall correlated with 시군구명 and 11 other fieldsHigh correlation
운행정보 is highly overall correlated with 시군구명 and 10 other fieldsHigh correlation
배차시간 is highly overall correlated with 시군구명 and 11 other fieldsHigh correlation
경유지주변관광정보 has 46 (82.1%) missing valuesMissing
시티투어코스명 has unique valuesUnique
시티투어코스정보 has unique valuesUnique

Reproduction

Analysis started2024-05-03 19:05:48.325221
Analysis finished2024-05-03 19:05:54.389504
Duration6.06 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size580.0 B
경기도
56 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 56
100.0%

Length

2024-05-03T19:05:54.578495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:05:54.837155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 56
100.0%

시군구명
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
화성시
13 
없음
12 
파주시
이천시
고양시
Other values (12)
16 

Length

Max length7
Median length3
Mean length2.875
Min length2

Unique

Unique8 ?
Unique (%)14.3%

Sample

1st row없음
2nd row없음
3rd row고양시
4th row광주시
5th row안성시

Common Values

ValueCountFrequency (%)
화성시 13
23.2%
없음 12
21.4%
파주시 7
12.5%
이천시 5
 
8.9%
고양시 3
 
5.4%
시흥시 2
 
3.6%
안산시 2
 
3.6%
성남시 2
 
3.6%
양주시 2
 
3.6%
부천시 원미구 1
 
1.8%
Other values (7) 7
12.5%

Length

2024-05-03T19:05:55.160135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화성시 13
22.8%
없음 12
21.1%
파주시 7
12.3%
이천시 5
 
8.8%
고양시 3
 
5.3%
시흥시 2
 
3.5%
안산시 2
 
3.5%
성남시 2
 
3.5%
양주시 2
 
3.5%
의정부시 1
 
1.8%
Other values (8) 8
14.0%
Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
2024-05-03T19:05:55.643979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length23
Mean length11.964286
Min length4

Characters and Unicode

Total characters670
Distinct characters141
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)100.0%

Sample

1st rowEG투어버스 H코스
2nd rowEG투어버스 G코스
3rd row일요왕릉나들이
4th row광주시티투어
5th row안성시티투어
ValueCountFrequency (%)
eg투어버스 12
 
10.4%
파주시티투어 7
 
6.1%
2023 7
 
6.1%
체험 5
 
4.3%
시티투어 3
 
2.6%
성남시티투어 2
 
1.7%
도시樂버스 2
 
1.7%
코스 2
 
1.7%
토요행주나들이 1
 
0.9%
e코스 1
 
0.9%
Other values (73) 73
63.5%
2024-05-03T19:05:56.568557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
59
 
8.8%
47
 
7.0%
38
 
5.7%
36
 
5.4%
33
 
4.9%
20
 
3.0%
( 19
 
2.8%
) 19
 
2.8%
18
 
2.7%
2 18
 
2.7%
Other values (131) 363
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 489
73.0%
Space Separator 59
 
8.8%
Decimal Number 38
 
5.7%
Uppercase Letter 37
 
5.5%
Open Punctuation 19
 
2.8%
Close Punctuation 19
 
2.8%
Other Punctuation 7
 
1.0%
Math Symbol 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
47
 
9.6%
38
 
7.8%
36
 
7.4%
33
 
6.7%
20
 
4.1%
18
 
3.7%
16
 
3.3%
15
 
3.1%
10
 
2.0%
10
 
2.0%
Other values (105) 246
50.3%
Uppercase Letter
ValueCountFrequency (%)
G 13
35.1%
E 13
35.1%
A 2
 
5.4%
B 1
 
2.7%
D 1
 
2.7%
F 1
 
2.7%
K 1
 
2.7%
J 1
 
2.7%
H 1
 
2.7%
C 1
 
2.7%
Other values (2) 2
 
5.4%
Decimal Number
ValueCountFrequency (%)
2 18
47.4%
0 8
21.1%
3 7
 
18.4%
1 3
 
7.9%
8 1
 
2.6%
4 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 4
57.1%
. 2
28.6%
/ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 487
72.7%
Common 144
 
21.5%
Latin 37
 
5.5%
Han 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
47
 
9.7%
38
 
7.8%
36
 
7.4%
33
 
6.8%
20
 
4.1%
18
 
3.7%
16
 
3.3%
15
 
3.1%
10
 
2.1%
10
 
2.1%
Other values (104) 244
50.1%
Common
ValueCountFrequency (%)
59
41.0%
( 19
 
13.2%
) 19
 
13.2%
2 18
 
12.5%
0 8
 
5.6%
3 7
 
4.9%
, 4
 
2.8%
1 3
 
2.1%
. 2
 
1.4%
8 1
 
0.7%
Other values (4) 4
 
2.8%
Latin
ValueCountFrequency (%)
G 13
35.1%
E 13
35.1%
A 2
 
5.4%
B 1
 
2.7%
D 1
 
2.7%
F 1
 
2.7%
K 1
 
2.7%
J 1
 
2.7%
H 1
 
2.7%
C 1
 
2.7%
Other values (2) 2
 
5.4%
Han
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 487
72.7%
ASCII 181
 
27.0%
CJK Compat Ideographs 2
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
59
32.6%
( 19
 
10.5%
) 19
 
10.5%
2 18
 
9.9%
G 13
 
7.2%
E 13
 
7.2%
0 8
 
4.4%
3 7
 
3.9%
, 4
 
2.2%
1 3
 
1.7%
Other values (16) 18
 
9.9%
Hangul
ValueCountFrequency (%)
47
 
9.7%
38
 
7.8%
36
 
7.4%
33
 
6.8%
20
 
4.1%
18
 
3.7%
16
 
3.3%
15
 
3.1%
10
 
2.1%
10
 
2.1%
Other values (104) 244
50.1%
CJK Compat Ideographs
ValueCountFrequency (%)
2
100.0%

시티투어문의처
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)39.3%
Missing0
Missing (%)0.0%
Memory size580.0 B
화성시지속가능발전협의회 031-366-8921+031-366-7110
12 
성오투어 02-730-0531
(사)이천나드리
이코리아투어 1533-3158
02-2038-0840
Other values (17)
26 

Length

Max length38
Median length22
Mean length19.714286
Min length8

Unique

Unique10 ?
Unique (%)17.9%

Sample

1st row070-4818-1914
2nd row02-2238-2895
3rd row이코리아투어 1533-3158
4th row031-760-1723
5th row02-318-1664

Common Values

ValueCountFrequency (%)
화성시지속가능발전협의회 031-366-8921+031-366-7110 12
21.4%
성오투어 02-730-0531 7
12.5%
(사)이천나드리 5
 
8.9%
이코리아투어 1533-3158 3
 
5.4%
02-2038-0840 3
 
5.4%
02-398-6614 3
 
5.4%
02-2238-2895 3
 
5.4%
㈜로망스투어 070-7813-5000 2
 
3.6%
공정여행 동네봄(031-314-9055) 2
 
3.6%
1899-7687 2
 
3.6%
Other values (12) 14
25.0%

Length

2024-05-03T19:05:56.976139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화성시지속가능발전협의회 13
14.3%
031-366-8921+031-366-7110 12
 
13.2%
성오투어 7
 
7.7%
02-730-0531 7
 
7.7%
사)이천나드리 5
 
5.5%
이코리아투어 3
 
3.3%
1533-3158 3
 
3.3%
02-2038-0840 3
 
3.3%
02-398-6614 3
 
3.3%
02-2238-2895 3
 
3.3%
Other values (24) 32
35.2%
Distinct35
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Memory size580.0 B
2024-05-03T19:05:57.437591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length25
Mean length10.178571
Min length1

Characters and Unicode

Total characters570
Distinct characters63
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)46.4%

Sample

1st row
2nd row토일
3rd row
4th row09:00~18:00
5th row3월25일~4월29일
ValueCountFrequency (%)
매주 11
 
10.7%
3월~11월 7
 
6.8%
주말+공휴일운영 6
 
5.8%
주말+공휴일+평일운영 5
 
4.9%
10:00~15:30 5
 
4.9%
3
 
2.9%
토일 3
 
2.9%
토요일 2
 
1.9%
운영 2
 
1.9%
연중 2
 
1.9%
Other values (51) 57
55.3%
2024-05-03T19:05:58.512657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 55
 
9.6%
53
 
9.3%
47
 
8.2%
1 40
 
7.0%
~ 30
 
5.3%
28
 
4.9%
: 24
 
4.2%
23
 
4.0%
+ 21
 
3.7%
18
 
3.2%
Other values (53) 231
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 289
50.7%
Decimal Number 139
24.4%
Math Symbol 51
 
8.9%
Space Separator 47
 
8.2%
Other Punctuation 28
 
4.9%
Close Punctuation 8
 
1.4%
Open Punctuation 8
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
53
18.3%
28
 
9.7%
23
 
8.0%
18
 
6.2%
17
 
5.9%
16
 
5.5%
16
 
5.5%
15
 
5.2%
14
 
4.8%
13
 
4.5%
Other values (34) 76
26.3%
Decimal Number
ValueCountFrequency (%)
0 55
39.6%
1 40
28.8%
3 16
 
11.5%
9 8
 
5.8%
5 7
 
5.0%
4 4
 
2.9%
2 3
 
2.2%
6 3
 
2.2%
7 2
 
1.4%
8 1
 
0.7%
Other Punctuation
ValueCountFrequency (%)
: 24
85.7%
. 2
 
7.1%
, 1
 
3.6%
/ 1
 
3.6%
Math Symbol
ValueCountFrequency (%)
~ 30
58.8%
+ 21
41.2%
Space Separator
ValueCountFrequency (%)
47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 289
50.7%
Common 281
49.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
53
18.3%
28
 
9.7%
23
 
8.0%
18
 
6.2%
17
 
5.9%
16
 
5.5%
16
 
5.5%
15
 
5.2%
14
 
4.8%
13
 
4.5%
Other values (34) 76
26.3%
Common
ValueCountFrequency (%)
0 55
19.6%
47
16.7%
1 40
14.2%
~ 30
10.7%
: 24
8.5%
+ 21
 
7.5%
3 16
 
5.7%
9 8
 
2.8%
) 8
 
2.8%
( 8
 
2.8%
Other values (9) 24
8.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 289
50.7%
ASCII 281
49.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 55
19.6%
47
16.7%
1 40
14.2%
~ 30
10.7%
: 24
8.5%
+ 21
 
7.5%
3 16
 
5.7%
9 8
 
2.8%
) 8
 
2.8%
( 8
 
2.8%
Other values (9) 24
8.5%
Hangul
ValueCountFrequency (%)
53
18.3%
28
 
9.7%
23
 
8.0%
18
 
6.2%
17
 
5.9%
16
 
5.5%
16
 
5.5%
15
 
5.2%
14
 
4.8%
13
 
4.5%
Other values (34) 76
26.3%

시티투어운행방식
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
고정형
46 
순환형
10 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고정형 46
82.1%
순환형 10
 
17.9%

Length

2024-05-03T19:05:58.940480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:05:59.274251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고정형 46
82.1%
순환형 10
 
17.9%

시티투어탑승장소명
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)46.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
출발지 홍대입구역+경유지 운정역
동탄역2번출구+화성시미디어센터+병점역+동부출장소+봉담읍+향남읍+남양모두누림센터
이천역+이천터미널
단체신청자요구장소
정발산역 2번출구 시티투어 승강장
 
3
Other values (21)
30 

Length

Max length57
Median length27
Mean length16.035714
Min length3

Unique

Unique15 ?
Unique (%)26.8%

Sample

1st row명동역
2nd row홍대입구역/건대입구역
3rd row정발산역 2번출구 시티투어 승강장
4th row경기광주역
5th row서울시청역 3번출구+교대역 9번출구+동천간이버스정류장+죽전간이버스정류장+신갈간이버스정류장+안성맞춤박물관

Common Values

ValueCountFrequency (%)
출발지 홍대입구역+경유지 운정역 7
12.5%
동탄역2번출구+화성시미디어센터+병점역+동부출장소+봉담읍+향남읍+남양모두누림센터 6
 
10.7%
이천역+이천터미널 5
 
8.9%
단체신청자요구장소 5
 
8.9%
정발산역 2번출구 시티투어 승강장 3
 
5.4%
홍대입구역/남산예장버스터니널/ 동대문역사문화공원역 3
 
5.4%
회현역 3
 
5.4%
홍대입구역/건대입구역 3
 
5.4%
서울 교대역(서울시청역 경유) 2
 
3.6%
서울시청역+교대역+성남시청 2
 
3.6%
Other values (16) 17
30.4%

Length

2024-05-03T19:05:59.660388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
출발지 7
 
7.5%
운정역 7
 
7.5%
홍대입구역+경유지 7
 
7.5%
동탄역2번출구+화성시미디어센터+병점역+동부출장소+봉담읍+향남읍+남양모두누림센터 6
 
6.5%
이천역+이천터미널 5
 
5.4%
단체신청자요구장소 5
 
5.4%
승강장 4
 
4.3%
정발산역 3
 
3.2%
2번출구 3
 
3.2%
시티투어 3
 
3.2%
Other values (30) 43
46.2%
Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
2024-05-03T19:06:00.063177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length335
Median length44
Mean length42.071429
Min length5

Characters and Unicode

Total characters2356
Distinct characters355
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)100.0%

Sample

1st row서울→봉녕사 템플스테이→남문시장→화성행궁→서울
2nd row서울→김포라베니체→김포국제조각공원→애기봉평화생태공원→서울
3rd row현대모터스튜디오고양-서오릉-서삼릉
4th row경기광주역
5th row안성맞춤박물관 - 안성팜랜드 - 안성맞춤랜드 - 남사당놀이 공연관람 - 청룡사
ValueCountFrequency (%)
24
 
10.5%
17
 
7.4%
코스 5
 
2.2%
경유 4
 
1.7%
중식 3
 
1.3%
3
 
1.3%
양주 3
 
1.3%
택1 3
 
1.3%
3 2
 
0.9%
출발 2
 
0.9%
Other values (147) 163
71.2%
2024-05-03T19:06:01.078840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
179
 
7.6%
- 151
 
6.4%
75
 
3.2%
) 46
 
2.0%
39
 
1.7%
( 38
 
1.6%
36
 
1.5%
36
 
1.5%
34
 
1.4%
32
 
1.4%
Other values (345) 1690
71.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1764
74.9%
Space Separator 179
 
7.6%
Dash Punctuation 151
 
6.4%
Math Symbol 76
 
3.2%
Close Punctuation 46
 
2.0%
Decimal Number 45
 
1.9%
Open Punctuation 38
 
1.6%
Other Punctuation 34
 
1.4%
Uppercase Letter 17
 
0.7%
Lowercase Letter 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
39
 
2.2%
36
 
2.0%
36
 
2.0%
34
 
1.9%
32
 
1.8%
31
 
1.8%
30
 
1.7%
27
 
1.5%
27
 
1.5%
26
 
1.5%
Other values (311) 1446
82.0%
Uppercase Letter
ValueCountFrequency (%)
M 3
17.6%
D 2
11.8%
B 2
11.8%
Z 2
11.8%
A 2
11.8%
K 2
11.8%
J 1
 
5.9%
S 1
 
5.9%
E 1
 
5.9%
I 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
3 14
31.1%
2 14
31.1%
1 8
17.8%
5 5
 
11.1%
9 2
 
4.4%
4 1
 
2.2%
8 1
 
2.2%
Other Punctuation
ValueCountFrequency (%)
/ 15
44.1%
: 8
23.5%
, 8
23.5%
· 1
 
2.9%
; 1
 
2.9%
& 1
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
m 2
33.3%
r 1
16.7%
o 1
16.7%
p 1
16.7%
a 1
16.7%
Math Symbol
ValueCountFrequency (%)
75
98.7%
+ 1
 
1.3%
Space Separator
ValueCountFrequency (%)
179
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 151
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1764
74.9%
Common 569
 
24.2%
Latin 23
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
39
 
2.2%
36
 
2.0%
36
 
2.0%
34
 
1.9%
32
 
1.8%
31
 
1.8%
30
 
1.7%
27
 
1.5%
27
 
1.5%
26
 
1.5%
Other values (311) 1446
82.0%
Common
ValueCountFrequency (%)
179
31.5%
- 151
26.5%
75
13.2%
) 46
 
8.1%
( 38
 
6.7%
/ 15
 
2.6%
3 14
 
2.5%
2 14
 
2.5%
1 8
 
1.4%
: 8
 
1.4%
Other values (9) 21
 
3.7%
Latin
ValueCountFrequency (%)
M 3
13.0%
D 2
 
8.7%
B 2
 
8.7%
Z 2
 
8.7%
A 2
 
8.7%
m 2
 
8.7%
K 2
 
8.7%
J 1
 
4.3%
S 1
 
4.3%
r 1
 
4.3%
Other values (5) 5
21.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1764
74.9%
ASCII 516
 
21.9%
Arrows 75
 
3.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
179
34.7%
- 151
29.3%
) 46
 
8.9%
( 38
 
7.4%
/ 15
 
2.9%
3 14
 
2.7%
2 14
 
2.7%
1 8
 
1.6%
: 8
 
1.6%
, 8
 
1.6%
Other values (22) 35
 
6.8%
Arrows
ValueCountFrequency (%)
75
100.0%
Hangul
ValueCountFrequency (%)
39
 
2.2%
36
 
2.0%
36
 
2.0%
34
 
1.9%
32
 
1.8%
31
 
1.8%
30
 
1.7%
27
 
1.5%
27
 
1.5%
26
 
1.5%
Other values (311) 1446
82.0%
None
ValueCountFrequency (%)
· 1
100.0%
Distinct7
Distinct (%)70.0%
Missing46
Missing (%)82.1%
Memory size580.0 B
2024-05-03T19:06:01.663198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length29
Mean length27.1
Min length8

Characters and Unicode

Total characters271
Distinct characters108
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)40.0%

Sample

1st row행복로+제일시장
2nd row오이도빨강등대+선사유적공원+갯골생태공원+거북섬,시화호
3rd row재인폭포+연천전곡리유적지
4th row유리섬박물관 + 동춘서커스 + 종현어촌체험마을 + 베르아델승마클럽
5th row유리섬박물관 + 동춘서커스 + 종현어촌체험마을 + 베르아델승마클럽
ValueCountFrequency (%)
6
23.1%
3
11.5%
오이도빨강등대+선사유적공원+갯골생태공원+거북섬,시화호 2
 
7.7%
유리섬박물관 2
 
7.7%
동춘서커스 2
 
7.7%
종현어촌체험마을 2
 
7.7%
베르아델승마클럽 2
 
7.7%
가나아트파크+양주시립장욱진미술관+권율장군묘 2
 
7.7%
행복로+제일시장 1
 
3.8%
재인폭포+연천전곡리유적지 1
 
3.8%
Other values (3) 3
11.5%
2024-05-03T19:06:02.588260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 26
 
9.6%
16
 
5.9%
7
 
2.6%
6
 
2.2%
6
 
2.2%
6
 
2.2%
6
 
2.2%
5
 
1.8%
5
 
1.8%
5
 
1.8%
Other values (98) 183
67.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 225
83.0%
Math Symbol 26
 
9.6%
Space Separator 16
 
5.9%
Other Punctuation 3
 
1.1%
Decimal Number 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7
 
3.1%
6
 
2.7%
6
 
2.7%
6
 
2.7%
6
 
2.7%
5
 
2.2%
5
 
2.2%
5
 
2.2%
4
 
1.8%
4
 
1.8%
Other values (93) 171
76.0%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
. 1
33.3%
Math Symbol
ValueCountFrequency (%)
+ 26
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Decimal Number
ValueCountFrequency (%)
5 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 225
83.0%
Common 46
 
17.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7
 
3.1%
6
 
2.7%
6
 
2.7%
6
 
2.7%
6
 
2.7%
5
 
2.2%
5
 
2.2%
5
 
2.2%
4
 
1.8%
4
 
1.8%
Other values (93) 171
76.0%
Common
ValueCountFrequency (%)
+ 26
56.5%
16
34.8%
, 2
 
4.3%
5 1
 
2.2%
. 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 225
83.0%
ASCII 46
 
17.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 26
56.5%
16
34.8%
, 2
 
4.3%
5 1
 
2.2%
. 1
 
2.2%
Hangul
ValueCountFrequency (%)
7
 
3.1%
6
 
2.7%
6
 
2.7%
6
 
2.7%
6
 
2.7%
5
 
2.2%
5
 
2.2%
5
 
2.2%
4
 
1.8%
4
 
1.8%
Other values (93) 171
76.0%

시티투어코스부가정보
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
<NA>
22 
코스 변경 불가
13 
홍대입구역 3번출구+운정역 1번출구
단체맞춤형(25인이상 단체 사전 예약 시 희망하는 장소에서 픽업 가능)
코스 및 연계체험은 계절+시기에 따라 변동될 수 있음
 
2
Other values (6)

Length

Max length42
Median length39
Mean length12.589286
Min length4

Unique

Unique5 ?
Unique (%)8.9%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row계절별로 봄나물캐기 포도따기+낚시체험+감따기 등 다양한 농촌체험을 즐길수있음

Common Values

ValueCountFrequency (%)
<NA> 22
39.3%
코스 변경 불가 13
23.2%
홍대입구역 3번출구+운정역 1번출구 7
 
12.5%
단체맞춤형(25인이상 단체 사전 예약 시 희망하는 장소에서 픽업 가능) 5
 
8.9%
코스 및 연계체험은 계절+시기에 따라 변동될 수 있음 2
 
3.6%
내부사정으로 운영중단 2
 
3.6%
계절별로 봄나물캐기 포도따기+낚시체험+감따기 등 다양한 농촌체험을 즐길수있음 1
 
1.8%
중앙역 2번출구 1
 
1.8%
광화문 6번출구 1
 
1.8%
역곡상상시장 등 전통시장 체험 등 1
 
1.8%

Length

2024-05-03T19:06:03.256629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 22
 
12.9%
코스 15
 
8.8%
변경 13
 
7.6%
불가 13
 
7.6%
홍대입구역 7
 
4.1%
3번출구+운정역 7
 
4.1%
1번출구 7
 
4.1%
희망하는 5
 
2.9%
가능 5
 
2.9%
픽업 5
 
2.9%
Other values (36) 71
41.8%

운행정보
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Memory size580.0 B
현재 미운영 중으로 2024년4월1일 이후 재운행 예정임
12 
공휴일 정상운영
(개별)매주주말+공휴일운영(단체는평일가능)
5월~예산소진시까지
(단체)주말+공휴일+평일
Other values (19)
21 

Length

Max length31
Median length25
Mean length16.892857
Min length3

Unique

Unique18 ?
Unique (%)32.1%

Sample

1st row현재 미운영 중으로 2024년4월1일 이후 재운행 예정임
2nd row현재 미운영 중으로 2024년4월1일 이후 재운행 예정임
3rd row매주 일요일 운행
4th row잠정중단
5th row토+일

Common Values

ValueCountFrequency (%)
현재 미운영 중으로 2024년4월1일 이후 재운행 예정임 12
21.4%
공휴일 정상운영 7
12.5%
(개별)매주주말+공휴일운영(단체는평일가능) 6
10.7%
5월~예산소진시까지 5
 
8.9%
(단체)주말+공휴일+평일 5
 
8.9%
토+일 3
 
5.4%
역사문화코스 : 매주 수요일테마코스 : 매주 토요일 1
 
1.8%
3월~11월 일정 상담 후 운행 1
 
1.8%
매주 화~일요일 1
 
1.8%
화,토,일요일요일 정기운행 1
 
1.8%
Other values (14) 14
25.0%

Length

2024-05-03T19:06:03.646460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
현재 12
 
6.6%
미운영 12
 
6.6%
중으로 12
 
6.6%
2024년4월1일 12
 
6.6%
이후 12
 
6.6%
재운행 12
 
6.6%
예정임 12
 
6.6%
매주 8
 
4.4%
정상운영 7
 
3.8%
공휴일 7
 
3.8%
Other values (48) 77
42.1%

운행시작시각
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size580.0 B
10:00
26 
09:00
14 
08:20
08:30
07:30
 
2
Other values (5)

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique4 ?
Unique (%)7.1%

Sample

1st row08:20
2nd row10:40
3rd row10:00
4th row07:30
5th row07:30

Common Values

ValueCountFrequency (%)
10:00 26
46.4%
09:00 14
25.0%
08:20 5
 
8.9%
08:30 3
 
5.4%
07:30 2
 
3.6%
09:30 2
 
3.6%
10:40 1
 
1.8%
08:00 1
 
1.8%
12:30 1
 
1.8%
10:50 1
 
1.8%

Length

2024-05-03T19:06:04.132494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:06:04.599001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10:00 26
46.4%
09:00 14
25.0%
08:20 5
 
8.9%
08:30 3
 
5.4%
07:30 2
 
3.6%
09:30 2
 
3.6%
10:40 1
 
1.8%
08:00 1
 
1.8%
12:30 1
 
1.8%
10:50 1
 
1.8%

운행종료시각
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)23.2%
Missing0
Missing (%)0.0%
Memory size580.0 B
17:00
26 
18:00
16:00
15:30
19:00
Other values (8)
12 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique5 ?
Unique (%)8.9%

Sample

1st row17:00
2nd row19:00
3rd row16:30
4th row18:00
5th row19:00

Common Values

ValueCountFrequency (%)
17:00 26
46.4%
18:00 5
 
8.9%
16:00 5
 
8.9%
15:30 5
 
8.9%
19:00 3
 
5.4%
16:30 3
 
5.4%
17:50 2
 
3.6%
19:40 2
 
3.6%
19:20 1
 
1.8%
15:00 1
 
1.8%
Other values (3) 3
 
5.4%

Length

2024-05-03T19:06:05.149107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
17:00 26
46.4%
18:00 5
 
8.9%
16:00 5
 
8.9%
15:30 5
 
8.9%
19:00 3
 
5.4%
16:30 3
 
5.4%
17:50 2
 
3.6%
19:40 2
 
3.6%
19:20 1
 
1.8%
15:00 1
 
1.8%
Other values (3) 3
 
5.4%

배차시간
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size580.0 B
0
39 
40
60
1

Length

Max length2
Median length1
Mean length1.2142857
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 39
69.6%
40 7
 
12.5%
60 5
 
8.9%
1 5
 
8.9%

Length

2024-05-03T19:06:05.849473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:06:06.219962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 39
69.6%
40 7
 
12.5%
60 5
 
8.9%
1 5
 
8.9%
Distinct28
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
2024-05-03T19:06:06.773812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length30
Mean length14.696429
Min length1

Characters and Unicode

Total characters823
Distinct characters72
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)33.9%

Sample

1st row50
2nd row38
3rd row성인6000원+기타4000원
4th row0
5th row24900원
ValueCountFrequency (%)
18000원부터(체험 13
 
10.7%
따라 13
 
10.7%
42000원까지 13
 
10.7%
프로그램에 13
 
10.7%
5000원 6
 
4.9%
투어버스기본요금 5
 
4.1%
5000원+코스별 5
 
4.1%
추가요금 5
 
4.1%
발생 5
 
4.1%
성인6000원+기타4000원 3
 
2.5%
Other values (34) 41
33.6%
2024-05-03T19:06:07.880785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 189
23.0%
66
 
8.0%
57
 
6.9%
1 24
 
2.9%
5 22
 
2.7%
4 20
 
2.4%
8 19
 
2.3%
2 16
 
1.9%
( 16
 
1.9%
16
 
1.9%
Other values (62) 378
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 388
47.1%
Decimal Number 315
38.3%
Space Separator 66
 
8.0%
Open Punctuation 16
 
1.9%
Close Punctuation 16
 
1.9%
Math Symbol 13
 
1.6%
Other Punctuation 9
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
57
 
14.7%
16
 
4.1%
14
 
3.6%
13
 
3.4%
13
 
3.4%
13
 
3.4%
13
 
3.4%
13
 
3.4%
13
 
3.4%
13
 
3.4%
Other values (47) 210
54.1%
Decimal Number
ValueCountFrequency (%)
0 189
60.0%
1 24
 
7.6%
5 22
 
7.0%
4 20
 
6.3%
8 19
 
6.0%
2 16
 
5.1%
6 9
 
2.9%
9 7
 
2.2%
3 6
 
1.9%
7 3
 
1.0%
Space Separator
ValueCountFrequency (%)
66
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Math Symbol
ValueCountFrequency (%)
+ 13
100.0%
Other Punctuation
ValueCountFrequency (%)
· 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 435
52.9%
Hangul 388
47.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
57
 
14.7%
16
 
4.1%
14
 
3.6%
13
 
3.4%
13
 
3.4%
13
 
3.4%
13
 
3.4%
13
 
3.4%
13
 
3.4%
13
 
3.4%
Other values (47) 210
54.1%
Common
ValueCountFrequency (%)
0 189
43.4%
66
 
15.2%
1 24
 
5.5%
5 22
 
5.1%
4 20
 
4.6%
8 19
 
4.4%
2 16
 
3.7%
( 16
 
3.7%
) 16
 
3.7%
+ 13
 
3.0%
Other values (5) 34
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 426
51.8%
Hangul 388
47.1%
None 9
 
1.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 189
44.4%
66
 
15.5%
1 24
 
5.6%
5 22
 
5.2%
4 20
 
4.7%
8 19
 
4.5%
2 16
 
3.8%
( 16
 
3.8%
) 16
 
3.8%
+ 13
 
3.1%
Other values (4) 25
 
5.9%
Hangul
ValueCountFrequency (%)
57
 
14.7%
16
 
4.1%
14
 
3.6%
13
 
3.4%
13
 
3.4%
13
 
3.4%
13
 
3.4%
13
 
3.4%
13
 
3.4%
13
 
3.4%
Other values (47) 210
54.1%
None
ValueCountFrequency (%)
· 9
100.0%

이용요금부가정보
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
<NA>
19 
점심 불포함
중식비+관광지 입장료+여행자보험비 개별부담
여행자보험 개별 부담
입장료 및 체험료 별도
Other values (11)
14 

Length

Max length84
Median length38
Mean length10.946429
Min length4

Unique

Unique8 ?
Unique (%)14.3%

Sample

1st row점심 포함
2nd row점심 불포함
3rd row입장료 및 체험료 별도
4th row<NA>
5th row왕복차량비+체험비용+입장료+문화관광해설 서비스+인솔비용 등

Common Values

ValueCountFrequency (%)
<NA> 19
33.9%
점심 불포함 8
14.3%
중식비+관광지 입장료+여행자보험비 개별부담 7
 
12.5%
여행자보험 개별 부담 5
 
8.9%
입장료 및 체험료 별도 3
 
5.4%
점심 포함 2
 
3.6%
입장료+체험비+식사비 별도 2
 
3.6%
중식비제외 2
 
3.6%
왕복차량비+체험비용+입장료+문화관광해설 서비스+인솔비용 등 1
 
1.8%
중식비 미포함 1
 
1.8%
Other values (6) 6
 
10.7%

Length

2024-05-03T19:06:08.663054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 19
15.2%
점심 10
 
8.0%
불포함 8
 
6.4%
중식비+관광지 7
 
5.6%
입장료+여행자보험비 7
 
5.6%
개별부담 7
 
5.6%
여행자보험 5
 
4.0%
개별 5
 
4.0%
부담 5
 
4.0%
별도 5
 
4.0%
Other values (36) 47
37.6%

홈페이지주소
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
http://tour.hscity.go.kr/citytour/
13 
<NA>
12 
www.pjcitytour.kr
http://www.2000green.com/
www.goyangcitytour.modoo.at
Other values (12)
16 

Length

Max length110
Median length43
Mean length25.071429
Min length4

Unique

Unique8 ?
Unique (%)14.3%

Sample

1st row<NA>
2nd row<NA>
3rd rowwww.goyangcitytour.modoo.at
4th rowhttps://www.gjcity.go.kr
5th rowww.romancetour.co.kr+www.anseong.go.kr/tour

Common Values

ValueCountFrequency (%)
http://tour.hscity.go.kr/citytour/ 13
23.2%
<NA> 12
21.4%
www.pjcitytour.kr 7
12.5%
http://www.2000green.com/ 5
 
8.9%
www.goyangcitytour.modoo.at 3
 
5.4%
http://www.shcitytour.com 2
 
3.6%
http://www.ansancitytour.com/ 2
 
3.6%
www.seongnamtour.com 2
 
3.6%
http://pgtour.co.kr/category/47 2
 
3.6%
http://bucheonculture.or.kr 1
 
1.8%
Other values (7) 7
12.5%

Length

2024-05-03T19:06:09.260979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
http://tour.hscity.go.kr/citytour 13
23.2%
na 12
21.4%
www.pjcitytour.kr 7
12.5%
http://www.2000green.com 5
 
8.9%
www.goyangcitytour.modoo.at 3
 
5.4%
www.seongnamtour.com 2
 
3.6%
http://pgtour.co.kr/category/47 2
 
3.6%
http://www.ansancitytour.com 2
 
3.6%
http://www.shcitytour.com 2
 
3.6%
http://bucheonculture.or.kr 1
 
1.8%
Other values (7) 7
12.5%

관리기관명
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
경기도 화성시청
13 
경기관광공사
12 
경기도 파주시청
(사)이천나드리
경기도 고양시 관광과
Other values (12)
16 

Length

Max length15
Median length8
Mean length8.0892857
Min length5

Unique

Unique8 ?
Unique (%)14.3%

Sample

1st row경기관광공사
2nd row경기관광공사
3rd row경기도 고양시 관광과
4th row경기도 광주시청
5th row경기도 안성시 문화체육관광과

Common Values

ValueCountFrequency (%)
경기도 화성시청 13
23.2%
경기관광공사 12
21.4%
경기도 파주시청 7
12.5%
(사)이천나드리 5
 
8.9%
경기도 고양시 관광과 3
 
5.4%
경기도 시흥시청 2
 
3.6%
㈜온누리관광여행사 2
 
3.6%
경기도 성남시청 2
 
3.6%
경기도 양주시 문화관광과 2
 
3.6%
부천문화원 1
 
1.8%
Other values (7) 7
12.5%

Length

2024-05-03T19:06:09.756635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 35
35.7%
화성시청 13
 
13.3%
경기관광공사 12
 
12.2%
파주시청 7
 
7.1%
사)이천나드리 5
 
5.1%
고양시 3
 
3.1%
관광과 3
 
3.1%
문화관광과 3
 
3.1%
성남시청 2
 
2.0%
양주시 2
 
2.0%
Other values (11) 13
 
13.3%

관리기관전화번호
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
031-5189-6017
13 
031-259-4700
12 
031-940-8516
031-636-2723
031-8075-3407
Other values (12)
16 

Length

Max length13
Median length12
Mean length12.232143
Min length9

Unique

Unique8 ?
Unique (%)14.3%

Sample

1st row031-259-4700
2nd row031-259-4700
3rd row031-8075-3407
4th row031-760-1723
5th row031-678-2496

Common Values

ValueCountFrequency (%)
031-5189-6017 13
23.2%
031-259-4700 12
21.4%
031-940-8516 7
12.5%
031-636-2723 5
 
8.9%
031-8075-3407 3
 
5.4%
031-310-2902 2
 
3.6%
1899-7687 2
 
3.6%
031-729-8602 2
 
3.6%
031-8082-5664 2
 
3.6%
032-656-4306 1
 
1.8%
Other values (7) 7
12.5%

Length

2024-05-03T19:06:10.277749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
031-5189-6017 13
23.2%
031-259-4700 12
21.4%
031-940-8516 7
12.5%
031-636-2723 5
 
8.9%
031-8075-3407 3
 
5.4%
031-729-8602 2
 
3.6%
031-8082-5664 2
 
3.6%
1899-7687 2
 
3.6%
031-310-2902 2
 
3.6%
032-656-4306 1
 
1.8%
Other values (7) 7
12.5%

데이터기준일자
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-11-14
13 
2024-02-01
12 
2023-11-23
2023-10-31
2023-08-21
Other values (12)
16 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique8 ?
Unique (%)14.3%

Sample

1st row2024-02-01
2nd row2024-02-01
3rd row2023-08-21
4th row2023-05-03
5th row2023-09-20

Common Values

ValueCountFrequency (%)
2023-11-14 13
23.2%
2024-02-01 12
21.4%
2023-11-23 7
12.5%
2023-10-31 5
 
8.9%
2023-08-21 3
 
5.4%
2023-12-04 2
 
3.6%
2023-06-12 2
 
3.6%
2023-10-17 2
 
3.6%
2023-08-02 2
 
3.6%
2024-01-05 1
 
1.8%
Other values (7) 7
12.5%

Length

2024-05-03T19:06:10.794084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-11-14 13
23.2%
2024-02-01 12
21.4%
2023-11-23 7
12.5%
2023-10-31 5
 
8.9%
2023-08-21 3
 
5.4%
2023-10-17 2
 
3.6%
2023-08-02 2
 
3.6%
2023-06-12 2
 
3.6%
2023-12-04 2
 
3.6%
2024-01-05 1
 
1.8%
Other values (7) 7
12.5%

Correlations

2024-05-03T19:06:11.258461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명시티투어코스명시티투어문의처시티투어운영시간시티투어운행방식시티투어탑승장소명시티투어코스정보경유지주변관광정보시티투어코스부가정보운행정보운행시작시각운행종료시각배차시간이용요금이용요금부가정보홈페이지주소관리기관명관리기관전화번호데이터기준일자
시군구명1.0001.0001.0000.9971.0001.0001.0001.0001.0000.9950.8230.8361.0001.0001.0001.0001.0001.0001.000
시티투어코스명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
시티투어문의처1.0001.0001.0000.9871.0000.9971.0001.0000.9980.9700.9170.9461.0000.9970.9881.0001.0001.0001.000
시티투어운영시간0.9971.0000.9871.0001.0000.9951.0001.0001.0000.9960.8950.9431.0000.9820.9801.0000.9970.9970.997
시티투어운행방식1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.4100.7300.9381.0001.0001.0001.0001.0001.000
시티투어탑승장소명1.0001.0000.9970.9951.0001.0001.0001.0001.0000.9910.9240.9721.0000.9890.9871.0001.0001.0001.000
시티투어코스정보1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
경유지주변관광정보1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.8710.8311.0001.0001.0001.0001.0001.0001.000
시티투어코스부가정보1.0001.0000.9981.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
운행정보0.9951.0000.9700.9961.0000.9911.0001.0001.0001.0000.5950.7370.9990.9610.9640.9930.9950.9950.995
운행시작시각0.8231.0000.9170.8950.4100.9241.0000.8711.0000.5951.0000.8680.5710.9830.9400.9740.8230.8230.823
운행종료시각0.8361.0000.9460.9430.7300.9721.0000.8311.0000.7370.8681.0000.8150.9830.8880.9700.8360.8360.836
배차시간1.0001.0001.0001.0000.9381.0001.0001.0001.0000.9990.5710.8151.0001.0001.0001.0001.0001.0001.000
이용요금1.0001.0000.9970.9821.0000.9891.0001.0001.0000.9610.9830.9831.0001.0001.0001.0001.0001.0001.000
이용요금부가정보1.0001.0000.9880.9801.0000.9871.0001.0001.0000.9640.9400.8881.0001.0001.0001.0001.0001.0001.000
홈페이지주소1.0001.0001.0001.0001.0001.0001.0001.0001.0000.9930.9740.9701.0001.0001.0001.0001.0001.0001.000
관리기관명1.0001.0001.0000.9971.0001.0001.0001.0001.0000.9950.8230.8361.0001.0001.0001.0001.0001.0001.000
관리기관전화번호1.0001.0001.0000.9971.0001.0001.0001.0001.0000.9950.8230.8361.0001.0001.0001.0001.0001.0001.000
데이터기준일자1.0001.0001.0000.9971.0001.0001.0001.0001.0000.9950.8230.8361.0001.0001.0001.0001.0001.0001.000
2024-05-03T19:06:12.015823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
홈페이지주소운행종료시각관리기관전화번호시티투어운행방식이용요금부가정보시티투어문의처운행시작시각데이터기준일자시티투어코스부가정보운행정보시티투어탑승장소명관리기관명배차시간시군구명
홈페이지주소1.0000.7791.0000.8161.0000.9820.7771.0000.9800.8050.9061.0000.8371.000
운행종료시각0.7791.0000.4540.6190.5450.6290.5820.4540.9100.2810.5810.4540.5760.454
관리기관전화번호1.0000.4541.0000.8500.9380.9340.4591.0000.9800.8560.8771.0000.8661.000
시티투어운행방식0.8160.6190.8501.0000.7930.7930.2860.8500.8660.7700.7450.8500.7610.850
이용요금부가정보1.0000.5450.9380.7931.0000.8880.6380.9380.9530.7720.8620.9380.8160.938
시티투어문의처0.9820.6290.9340.7930.8881.0000.5650.9340.9200.6970.9020.9340.8090.934
운행시작시각0.7770.5820.4590.2860.6380.5651.0000.4590.9100.2000.5370.4590.3530.459
데이터기준일자1.0000.4541.0000.8500.9380.9340.4591.0000.9800.8560.8771.0000.8661.000
시티투어코스부가정보0.9800.9100.9800.8660.9530.9200.9100.9801.0000.8900.9130.9800.8940.980
운행정보0.8050.2810.8560.7700.7720.6970.2000.8560.8901.0000.8450.8560.7500.856
시티투어탑승장소명0.9060.5810.8770.7450.8620.9020.5370.8770.9130.8451.0000.8770.7600.877
관리기관명1.0000.4541.0000.8500.9380.9340.4591.0000.9800.8560.8771.0000.8661.000
배차시간0.8370.5760.8660.7610.8160.8090.3530.8660.8940.7500.7600.8661.0000.866
시군구명1.0000.4541.0000.8500.9380.9340.4591.0000.9800.8560.8771.0000.8661.000
2024-05-03T19:06:12.793331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명시티투어문의처시티투어운행방식시티투어탑승장소명시티투어코스부가정보운행정보운행시작시각운행종료시각배차시간이용요금부가정보홈페이지주소관리기관명관리기관전화번호데이터기준일자
시군구명1.0000.9340.8500.8770.9800.8560.4590.4540.8660.9381.0001.0001.0001.000
시티투어문의처0.9341.0000.7930.9020.9200.6970.5650.6290.8090.8880.9820.9340.9340.934
시티투어운행방식0.8500.7931.0000.7450.8660.7700.2860.6190.7610.7930.8160.8500.8500.850
시티투어탑승장소명0.8770.9020.7451.0000.9130.8450.5370.5810.7600.8620.9060.8770.8770.877
시티투어코스부가정보0.9800.9200.8660.9131.0000.8900.9100.9100.8940.9530.9800.9800.9800.980
운행정보0.8560.6970.7700.8450.8901.0000.2000.2810.7500.7720.8050.8560.8560.856
운행시작시각0.4590.5650.2860.5370.9100.2001.0000.5820.3530.6380.7770.4590.4590.459
운행종료시각0.4540.6290.6190.5810.9100.2810.5821.0000.5760.5450.7790.4540.4540.454
배차시간0.8660.8090.7610.7600.8940.7500.3530.5761.0000.8160.8370.8660.8660.866
이용요금부가정보0.9380.8880.7930.8620.9530.7720.6380.5450.8161.0001.0000.9380.9380.938
홈페이지주소1.0000.9820.8160.9060.9800.8050.7770.7790.8371.0001.0001.0001.0001.000
관리기관명1.0000.9340.8500.8770.9800.8560.4590.4540.8660.9381.0001.0001.0001.000
관리기관전화번호1.0000.9340.8500.8770.9800.8560.4590.4540.8660.9381.0001.0001.0001.000
데이터기준일자1.0000.9340.8500.8770.9800.8560.4590.4540.8660.9381.0001.0001.0001.000

Missing values

2024-05-03T19:05:53.277639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-03T19:05:54.083207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

시도명시군구명시티투어코스명시티투어문의처시티투어운영시간시티투어운행방식시티투어탑승장소명시티투어코스정보경유지주변관광정보시티투어코스부가정보운행정보운행시작시각운행종료시각배차시간이용요금이용요금부가정보홈페이지주소관리기관명관리기관전화번호데이터기준일자
0경기도없음EG투어버스 H코스070-4818-1914고정형명동역서울→봉녕사 템플스테이→남문시장→화성행궁→서울<NA><NA>현재 미운영 중으로 2024년4월1일 이후 재운행 예정임08:2017:00050점심 포함<NA>경기관광공사031-259-47002024-02-01
1경기도없음EG투어버스 G코스02-2238-2895토일고정형홍대입구역/건대입구역서울→김포라베니체→김포국제조각공원→애기봉평화생태공원→서울<NA><NA>현재 미운영 중으로 2024년4월1일 이후 재운행 예정임10:4019:00038점심 불포함<NA>경기관광공사031-259-47002024-02-01
2경기도고양시일요왕릉나들이이코리아투어 1533-3158고정형정발산역 2번출구 시티투어 승강장현대모터스튜디오고양-서오릉-서삼릉<NA><NA>매주 일요일 운행10:0016:300성인6000원+기타4000원입장료 및 체험료 별도www.goyangcitytour.modoo.at경기도 고양시 관광과031-8075-34072023-08-21
3경기도광주시광주시티투어031-760-172309:00~18:00고정형경기광주역경기광주역<NA><NA>잠정중단07:3018:0000<NA>https://www.gjcity.go.kr경기도 광주시청031-760-17232023-05-03
4경기도안성시안성시티투어02-318-16643월25일~4월29일고정형서울시청역 3번출구+교대역 9번출구+동천간이버스정류장+죽전간이버스정류장+신갈간이버스정류장+안성맞춤박물관안성맞춤박물관 - 안성팜랜드 - 안성맞춤랜드 - 남사당놀이 공연관람 - 청룡사<NA>계절별로 봄나물캐기 포도따기+낚시체험+감따기 등 다양한 농촌체험을 즐길수있음토+일07:3019:00024900원왕복차량비+체험비용+입장료+문화관광해설 서비스+인솔비용 등ww.romancetour.co.kr+www.anseong.go.kr/tour경기도 안성시 문화체육관광과031-678-24962023-09-20
5경기도없음EG투어버스 J코스02-2038-0840고정형홍대입구역/남산예장버스터니널/ 동대문역사문화공원역서울→한국민속촌→수원화성→수원 남문시장→서울<NA><NA>현재 미운영 중으로 2024년4월1일 이후 재운행 예정임08:2019:20065점심 불포함<NA>경기관광공사031-259-47002024-02-01
6경기도없음EG투어버스 K 코스02-2038-0840고정형홍대입구역/남산예장버스터니널/ 동대문역사문화공원역서울→포천아트밸리→허브아일랜드→농장체험→서울<NA><NA>현재 미운영 중으로 2024년4월1일 이후 재운행 예정임08:2017:50077점심 불포함<NA>경기관광공사031-259-47002024-02-01
7경기도평택시정기투어/테마투어평택문화원(031-656-0600)+(031-654-8808)매우 수요일+토요일(09:00~15:00)고정형평택시남부문화예술회관/평택 서부역기존 코스 (권역별 / 역사 문화 위주) 1) 남부 : 팽성읍객사·평택향교 / 농성 / 농업생태원 2) 북부 : 원릉군기념관 / 정도전유적지 / 진위향교 / 웃다리문화촌 3) 서부: 심복사 / 구진마을호수길 / 수도사 (원효대사깨달음체험관)테마 코스 (신설 / 체험,전시,행사 연계) 1) 농업 코스: 농업생태원 - 농촌체험마을 - 공간미학 2) 명소 코스: 평택호관광단지- 출사지 명소- 소풍정원-힐링체험 3) 미술관 코스: mM아트센터-웃다리문화촌-남부문예회관-작은미술관 4) 산업/환경코스: 오썸플렉스-평택항홍보관-농업기술센터 5) 테마(안보)코스: 신장쇼핑몰-K55오산에어베이스-웃다리문화촌<NA><NA>역사문화코스 : 매주 수요일테마코스 : 매주 토요일09:0015:0001인 10000원<NA>http://www.ptmunhwa.or.kr/경기도 평택시청031-8024-32912023-07-11
8경기도의정부시어울리다 의정부 시티투어로망스투어 02-318-1664~54.20.(목)~(목+토)고정형교대역(10번출구)+서울시청역(3번출구)+경전철 의정부시청역(1번출구)직동공원(숲해설)-퓨전문화관광홍보관/부대찌개거리(자유중식)-컬링경기장(컬링체험)-미술도서관행복로+제일시장<NA>목+토 / 총 20회 운행(공휴일 휴무)10:0016:300인당 15000원중식비 미포함https://www.romancetour.co.kr/shop_goods/goods_view.htm?category=010J0000&amp;goods_idx=63220&amp;goods_bu_id=경기도 의정부시청 문화관광과031-828-43522023-03-02
9경기도화성시문화의숨결화성시지속가능발전협의회 031-366-8921+031-366-7110주말+공휴일운영고정형동탄역2번출구+화성시미디어센터+병점역+동부출장소+봉담읍+향남읍+남양모두누림센터용주사-융건릉-제암리-계절별체험지(총2-3곳)<NA>코스 변경 불가(개별)매주주말+공휴일운영(단체는평일가능)10:0017:00018000원부터(체험 프로그램에 따라 42000원까지)<NA>http://tour.hscity.go.kr/citytour/경기도 화성시청031-5189-60172023-11-14
시도명시군구명시티투어코스명시티투어문의처시티투어운영시간시티투어운행방식시티투어탑승장소명시티투어코스정보경유지주변관광정보시티투어코스부가정보운행정보운행시작시각운행종료시각배차시간이용요금이용요금부가정보홈페이지주소관리기관명관리기관전화번호데이터기준일자
46경기도파주시2023 파주시티투어 당일코스(목요일)성오투어 02-730-05313월~11월 매주 목요일고정형출발지 홍대입구역+경유지 운정역마장호수 출렁다리-보광사-혜음원지-용미리마애이불입상<NA>홍대입구역 3번출구+운정역 1번출구공휴일 정상운영09:0017:00405000원중식비+관광지 입장료+여행자보험비 개별부담www.pjcitytour.kr경기도 파주시청031-940-85162023-11-23
47경기도성남시성남시티투어 도시樂버스 1코스㈜로망스투어 070-7813-5000연중 매주 주말(09:00~17:00)고정형서울시청역+교대역+성남시청성남시청-남한산성-중식-판교박물관-신구대식물원<NA>내부사정으로 운영중단연중 주말(토, 일) 운영09:0017:0009000원<NA>www.seongnamtour.com경기도 성남시청031-729-86022023-10-17
48경기도성남시성남시티투어 도시樂버스 2코스㈜로망스투어 070-7813-5000연중 주말 중 모란장이 서는 날(09:00~17:00)고정형서울시청역+교대역+성남시청성남시청-신구대식물원-모란민속5일장-중식-남한산성<NA>내부사정으로 운영중단연중 주말 중 모란장이 서는 날(끝자리 4일, 9일)09:0017:0009000원<NA>www.seongnamtour.com경기도 성남시청031-729-86022023-10-17
49경기도파주시2023 파주시티투어 당일코스(금요일)성오투어 02-730-05313월~11월 매주 금요일고정형출발지 홍대입구역+경유지 운정역영국군설마리전투추모공원-감악산출렁다리-황희유적지-파주출판도시<NA>홍대입구역 3번출구+운정역 1번출구공휴일 정상운영09:0017:00405000원중식비+관광지 입장료+여행자보험비 개별부담www.pjcitytour.kr경기도 파주시청031-940-85162023-11-23
50경기도파주시2023 파주시티투어 당일코스(토요일)성오투어 02-730-05313월~11월 매주 토요일고정형출발지 홍대입구역+경유지 운정역오두산통일전망대-맛고을+프로방스-국립민속박물관 파주/헤이리예술마을-파주장단콩웰빙마루<NA>홍대입구역 3번출구+운정역 1번출구공휴일 정상운영09:0017:00405000원중식비+관광지 입장료+여행자보험비 개별부담www.pjcitytour.kr경기도 파주시청031-940-85162023-11-23
51경기도파주시2023 파주시티투어 당일코스(일요일)성오투어 02-730-05313월~11월 매주 일요일고정형출발지 홍대입구역+경유지 운정역임진각관광지-이이유적지-율곡수목원<NA>홍대입구역 3번출구+운정역 1번출구공휴일 정상운영09:0017:00405000원중식비+관광지 입장료+여행자보험비 개별부담www.pjcitytour.kr경기도 파주시청031-940-85162023-11-23
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