Overview

Dataset statistics

Number of variables9
Number of observations79
Missing cells168
Missing cells (%)23.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.8 KiB
Average record size in memory75.7 B

Variable types

Text5
Categorical2
Numeric2

Dataset

Description유형별 주요관광지(북구8경 등)에 대한 데이터로 일반 현황, 영업일 및 휴무일, 입장료 정보 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15095870/fileData.do

Alerts

입장료 has 69 (87.3%) missing valuesMissing
휴무일 has 58 (73.4%) missing valuesMissing
영업시간 has 41 (51.9%) missing valuesMissing
관광지명 has unique valuesUnique
경도 has unique valuesUnique
위도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:41:49.831490
Analysis finished2023-12-12 04:41:51.149402
Duration1.32 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관광지명
Text

UNIQUE 

Distinct79
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size764.0 B
2023-12-12T13:41:51.365249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.278481
Min length3

Characters and Unicode

Total characters496
Distinct characters182
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique79 ?
Unique (%)100.0%

Sample

1st row금호강하중도
2nd row꽃보라동산
3rd row운암지수변공원
4th row팔달대교 야경
5th row경북대학교 캠퍼스
ValueCountFrequency (%)
경북대학교 2
 
2.2%
구암서원 2
 
2.2%
금호강하중도 1
 
1.1%
리틀소시움 1
 
1.1%
노원동작은도서관 1
 
1.1%
exco 1
 
1.1%
광해군태실 1
 
1.1%
서계서원 1
 
1.1%
태전도서관 1
 
1.1%
침산공원 1
 
1.1%
Other values (79) 79
86.8%
2023-12-12T13:41:51.852746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 17
 
3.4%
대 14
 
2.8%
구 14
 
2.8%
서 14
 
2.8%
공 12
 
2.4%
12
 
2.4%
장 11
 
2.2%
산 11
 
2.2%
시 10
 
2.0%
교 10
 
2.0%
Other values (172) 371
74.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 467
94.2%
Space Separator 12
 
2.4%
Uppercase Letter 7
 
1.4%
Open Punctuation 3
 
0.6%
Close Punctuation 3
 
0.6%
Other Punctuation 2
 
0.4%
Decimal Number 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 17
 
3.6%
대 14
 
3.0%
구 14
 
3.0%
서 14
 
3.0%
공 12
 
2.6%
장 11
 
2.4%
산 11
 
2.4%
시 10
 
2.1%
교 10
 
2.1%
성 9
 
1.9%
Other values (159) 345
73.9%
Uppercase Letter
ValueCountFrequency (%)
O 1
14.3%
C 1
14.3%
E 1
14.3%
X 1
14.3%
B 1
14.3%
G 1
14.3%
D 1
14.3%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
7 1
50.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
· 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 467
94.2%
Common 22
 
4.4%
Latin 7
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 17
 
3.6%
대 14
 
3.0%
구 14
 
3.0%
서 14
 
3.0%
공 12
 
2.6%
장 11
 
2.4%
산 11
 
2.4%
시 10
 
2.1%
교 10
 
2.1%
성 9
 
1.9%
Other values (159) 345
73.9%
Latin
ValueCountFrequency (%)
O 1
14.3%
C 1
14.3%
E 1
14.3%
X 1
14.3%
B 1
14.3%
G 1
14.3%
D 1
14.3%
Common
ValueCountFrequency (%)
12
54.5%
( 3
 
13.6%
) 3
 
13.6%
· 2
 
9.1%
4 1
 
4.5%
7 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 467
94.2%
ASCII 27
 
5.4%
None 2
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 17
 
3.6%
대 14
 
3.0%
구 14
 
3.0%
서 14
 
3.0%
공 12
 
2.6%
장 11
 
2.4%
산 11
 
2.4%
시 10
 
2.1%
교 10
 
2.1%
성 9
 
1.9%
Other values (159) 345
73.9%
ASCII
ValueCountFrequency (%)
12
44.4%
( 3
 
11.1%
) 3
 
11.1%
O 1
 
3.7%
C 1
 
3.7%
E 1
 
3.7%
X 1
 
3.7%
4 1
 
3.7%
7 1
 
3.7%
B 1
 
3.7%
Other values (2) 2
 
7.4%
None
ValueCountFrequency (%)
· 2
100.0%

주소
Text

Distinct77
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
2023-12-12T13:41:52.208756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length38
Mean length20.202532
Min length12

Characters and Unicode

Total characters1596
Distinct characters130
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)94.9%

Sample

1st row대구광역시 북구 노곡동 681-1
2nd row대구광역시 북구 산격동 1500-6
3rd row대구광역시 북구 구암동 349
4th row대구광역시 북구 팔달동 524-4
5th row대구광역시 북구 산격동 대학로 80
ValueCountFrequency (%)
대구광역시 79
22.6%
북구 70
20.1%
중구 7
 
2.0%
산격동 6
 
1.7%
구암동 6
 
1.7%
호암로 3
 
0.9%
연경동 3
 
0.9%
인교동 3
 
0.9%
27 3
 
0.9%
일원 3
 
0.9%
Other values (141) 166
47.6%
2023-12-12T13:41:52.756849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
270
16.9%
구 168
 
10.5%
대 93
 
5.8%
시 84
 
5.3%
광 79
 
4.9%
역 79
 
4.9%
북 73
 
4.6%
1 70
 
4.4%
동 50
 
3.1%
로 45
 
2.8%
Other values (120) 585
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 992
62.2%
Decimal Number 273
 
17.1%
Space Separator 270
 
16.9%
Dash Punctuation 30
 
1.9%
Open Punctuation 9
 
0.6%
Close Punctuation 9
 
0.6%
Uppercase Letter 6
 
0.4%
Other Punctuation 5
 
0.3%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 168
16.9%
대 93
 
9.4%
시 84
 
8.5%
광 79
 
8.0%
역 79
 
8.0%
북 73
 
7.4%
동 50
 
5.0%
로 45
 
4.5%
산 24
 
2.4%
길 20
 
2.0%
Other values (98) 277
27.9%
Decimal Number
ValueCountFrequency (%)
1 70
25.6%
2 33
12.1%
7 28
 
10.3%
4 26
 
9.5%
3 26
 
9.5%
5 22
 
8.1%
0 21
 
7.7%
6 18
 
6.6%
8 16
 
5.9%
9 13
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
B 2
33.3%
E 2
33.3%
F 1
16.7%
S 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
: 1
 
20.0%
Math Symbol
ValueCountFrequency (%)
~ 1
50.0%
∼ 1
50.0%
Space Separator
ValueCountFrequency (%)
270
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 992
62.2%
Common 598
37.5%
Latin 6
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 168
16.9%
대 93
 
9.4%
시 84
 
8.5%
광 79
 
8.0%
역 79
 
8.0%
북 73
 
7.4%
동 50
 
5.0%
로 45
 
4.5%
산 24
 
2.4%
길 20
 
2.0%
Other values (98) 277
27.9%
Common
ValueCountFrequency (%)
270
45.2%
1 70
 
11.7%
2 33
 
5.5%
- 30
 
5.0%
7 28
 
4.7%
4 26
 
4.3%
3 26
 
4.3%
5 22
 
3.7%
0 21
 
3.5%
6 18
 
3.0%
Other values (8) 54
 
9.0%
Latin
ValueCountFrequency (%)
B 2
33.3%
E 2
33.3%
F 1
16.7%
S 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 992
62.2%
ASCII 603
37.8%
Math Operators 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
270
44.8%
1 70
 
11.6%
2 33
 
5.5%
- 30
 
5.0%
7 28
 
4.6%
4 26
 
4.3%
3 26
 
4.3%
5 22
 
3.6%
0 21
 
3.5%
6 18
 
3.0%
Other values (11) 59
 
9.8%
Hangul
ValueCountFrequency (%)
구 168
16.9%
대 93
 
9.4%
시 84
 
8.5%
광 79
 
8.0%
역 79
 
8.0%
북 73
 
7.4%
동 50
 
5.0%
로 45
 
4.5%
산 24
 
2.4%
길 20
 
2.0%
Other values (98) 277
27.9%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

입장료
Text

MISSING 

Distinct8
Distinct (%)80.0%
Missing69
Missing (%)87.3%
Memory size764.0 B
2023-12-12T13:41:52.988730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length16.5
Mean length12.1
Min length2

Characters and Unicode

Total characters121
Distinct characters53
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)70.0%

Sample

1st row성인 10,000원청소년(중, 고등학생) 8,000원어린이(만 36개월 이상) 7,000원
2nd row예약제
3rd row프로그램별 상이
4th row프로그램별 상이
5th row강좌별 월 1만원
ValueCountFrequency (%)
상이 4
 
13.8%
프로그램별 3
 
10.3%
1만원 2
 
6.9%
강좌별 2
 
6.9%
입장료 1
 
3.4%
업체별 1
 
3.4%
시 1
 
3.4%
참여 1
 
3.4%
행사 1
 
3.4%
1
 
3.4%
Other values (12) 12
41.4%
2023-12-12T13:41:53.416619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19
 
15.7%
0 10
 
8.3%
이 7
 
5.8%
별 6
 
5.0%
상 6
 
5.0%
원 5
 
4.1%
, 4
 
3.3%
프 3
 
2.5%
그 3
 
2.5%
램 3
 
2.5%
Other values (43) 55
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 76
62.8%
Space Separator 19
 
15.7%
Decimal Number 17
 
14.0%
Other Punctuation 5
 
4.1%
Close Punctuation 2
 
1.7%
Open Punctuation 2
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 7
 
9.2%
별 6
 
7.9%
상 6
 
7.9%
원 5
 
6.6%
프 3
 
3.9%
그 3
 
3.9%
램 3
 
3.9%
로 3
 
3.9%
만 3
 
3.9%
좌 2
 
2.6%
Other values (32) 35
46.1%
Decimal Number
ValueCountFrequency (%)
0 10
58.8%
1 3
 
17.6%
7 1
 
5.9%
8 1
 
5.9%
3 1
 
5.9%
6 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
/ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 76
62.8%
Common 45
37.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 7
 
9.2%
별 6
 
7.9%
상 6
 
7.9%
원 5
 
6.6%
프 3
 
3.9%
그 3
 
3.9%
램 3
 
3.9%
로 3
 
3.9%
만 3
 
3.9%
좌 2
 
2.6%
Other values (32) 35
46.1%
Common
ValueCountFrequency (%)
19
42.2%
0 10
22.2%
, 4
 
8.9%
1 3
 
6.7%
) 2
 
4.4%
( 2
 
4.4%
/ 1
 
2.2%
7 1
 
2.2%
8 1
 
2.2%
3 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 76
62.8%
ASCII 45
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19
42.2%
0 10
22.2%
, 4
 
8.9%
1 3
 
6.7%
) 2
 
4.4%
( 2
 
4.4%
/ 1
 
2.2%
7 1
 
2.2%
8 1
 
2.2%
3 1
 
2.2%
Hangul
ValueCountFrequency (%)
이 7
 
9.2%
별 6
 
7.9%
상 6
 
7.9%
원 5
 
6.6%
프 3
 
3.9%
그 3
 
3.9%
램 3
 
3.9%
로 3
 
3.9%
만 3
 
3.9%
좌 2
 
2.6%
Other values (32) 35
46.1%

휴무일
Text

MISSING 

Distinct15
Distinct (%)71.4%
Missing58
Missing (%)73.4%
Memory size764.0 B
2023-12-12T13:41:53.657125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length17
Mean length10.857143
Min length2

Characters and Unicode

Total characters228
Distinct characters59
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)52.4%

Sample

1st row주말 휴무
2nd row매주 월, 화
3rd row공휴일
4th row매월 넷째 일요일
5th row프로그램별 상이
ValueCountFrequency (%)
일요일 5
 
7.9%
공휴일 4
 
6.3%
매월 4
 
6.3%
주말 3
 
4.8%
연중무휴 3
 
4.8%
상이 3
 
4.8%
월요일 3
 
4.8%
휴무 3
 
4.8%
번째 2
 
3.2%
및 2
 
3.2%
Other values (27) 31
49.2%
2023-12-12T13:41:54.089122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42
18.4%
일 24
 
10.5%
휴 13
 
5.7%
요 11
 
4.8%
, 11
 
4.8%
월 11
 
4.8%
째 9
 
3.9%
주 6
 
2.6%
매 6
 
2.6%
무 6
 
2.6%
Other values (49) 89
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 163
71.5%
Space Separator 42
 
18.4%
Other Punctuation 12
 
5.3%
Decimal Number 5
 
2.2%
Close Punctuation 3
 
1.3%
Open Punctuation 3
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 24
 
14.7%
휴 13
 
8.0%
요 11
 
6.7%
월 11
 
6.7%
째 9
 
5.5%
주 6
 
3.7%
매 6
 
3.7%
무 6
 
3.7%
공 5
 
3.1%
번 4
 
2.5%
Other values (40) 68
41.7%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
8 1
20.0%
2 1
20.0%
5 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 11
91.7%
· 1
 
8.3%
Space Separator
ValueCountFrequency (%)
42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 163
71.5%
Common 65
 
28.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 24
 
14.7%
휴 13
 
8.0%
요 11
 
6.7%
월 11
 
6.7%
째 9
 
5.5%
주 6
 
3.7%
매 6
 
3.7%
무 6
 
3.7%
공 5
 
3.1%
번 4
 
2.5%
Other values (40) 68
41.7%
Common
ValueCountFrequency (%)
42
64.6%
, 11
 
16.9%
) 3
 
4.6%
( 3
 
4.6%
1 2
 
3.1%
8 1
 
1.5%
2 1
 
1.5%
5 1
 
1.5%
· 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 163
71.5%
ASCII 64
 
28.1%
None 1
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42
65.6%
, 11
 
17.2%
) 3
 
4.7%
( 3
 
4.7%
1 2
 
3.1%
8 1
 
1.6%
2 1
 
1.6%
5 1
 
1.6%
Hangul
ValueCountFrequency (%)
일 24
 
14.7%
휴 13
 
8.0%
요 11
 
6.7%
월 11
 
6.7%
째 9
 
5.5%
주 6
 
3.7%
매 6
 
3.7%
무 6
 
3.7%
공 5
 
3.1%
번 4
 
2.5%
Other values (40) 68
41.7%
None
ValueCountFrequency (%)
· 1
100.0%

영업시간
Text

MISSING 

Distinct23
Distinct (%)60.5%
Missing41
Missing (%)51.9%
Memory size764.0 B
2023-12-12T13:41:54.324144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length35
Mean length17.973684
Min length2

Characters and Unicode

Total characters683
Distinct characters80
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)42.1%

Sample

1st row※ 야간조명시간 : 일몰 ~ p.m 11시
2nd row10:00 - 18:00
3rd row10:00 - 17:30(점심시간 : 12:00~13:00)
4th row입장 14:00, 퇴장 12:00
5th row09:00 - 18:00
ValueCountFrequency (%)
26
 
16.5%
가능 8
 
5.1%
09:00 8
 
5.1%
점포 7
 
4.4%
내 7
 
4.4%
이용 7
 
4.4%
영업시간 7
 
4.4%
10:00 6
 
3.8%
18:00 6
 
3.8%
평일 5
 
3.2%
Other values (50) 71
44.9%
2023-12-12T13:41:54.692518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 129
18.9%
121
17.7%
: 61
 
8.9%
1 42
 
6.1%
- 25
 
3.7%
시 18
 
2.6%
2 16
 
2.3%
간 14
 
2.0%
9 14
 
2.0%
일 13
 
1.9%
Other values (70) 230
33.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 239
35.0%
Other Letter 204
29.9%
Space Separator 121
17.7%
Other Punctuation 76
 
11.1%
Dash Punctuation 25
 
3.7%
Math Symbol 6
 
0.9%
Open Punctuation 4
 
0.6%
Close Punctuation 4
 
0.6%
Lowercase Letter 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 18
 
8.8%
간 14
 
6.9%
일 13
 
6.4%
이 11
 
5.4%
점 9
 
4.4%
능 8
 
3.9%
가 8
 
3.9%
상 7
 
3.4%
용 7
 
3.4%
영 7
 
3.4%
Other values (45) 102
50.0%
Decimal Number
ValueCountFrequency (%)
0 129
54.0%
1 42
 
17.6%
2 16
 
6.7%
9 14
 
5.9%
8 13
 
5.4%
3 9
 
3.8%
7 7
 
2.9%
4 6
 
2.5%
5 2
 
0.8%
6 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
: 61
80.3%
/ 4
 
5.3%
, 4
 
5.3%
* 2
 
2.6%
. 2
 
2.6%
※ 2
 
2.6%
· 1
 
1.3%
Math Symbol
ValueCountFrequency (%)
~ 4
66.7%
∼ 2
33.3%
Lowercase Letter
ValueCountFrequency (%)
p 2
50.0%
m 2
50.0%
Space Separator
ValueCountFrequency (%)
121
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 475
69.5%
Hangul 204
29.9%
Latin 4
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 18
 
8.8%
간 14
 
6.9%
일 13
 
6.4%
이 11
 
5.4%
점 9
 
4.4%
능 8
 
3.9%
가 8
 
3.9%
상 7
 
3.4%
용 7
 
3.4%
영 7
 
3.4%
Other values (45) 102
50.0%
Common
ValueCountFrequency (%)
0 129
27.2%
121
25.5%
: 61
12.8%
1 42
 
8.8%
- 25
 
5.3%
2 16
 
3.4%
9 14
 
2.9%
8 13
 
2.7%
3 9
 
1.9%
7 7
 
1.5%
Other values (13) 38
 
8.0%
Latin
ValueCountFrequency (%)
p 2
50.0%
m 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 474
69.4%
Hangul 204
29.9%
Math Operators 2
 
0.3%
Punctuation 2
 
0.3%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 129
27.2%
121
25.5%
: 61
12.9%
1 42
 
8.9%
- 25
 
5.3%
2 16
 
3.4%
9 14
 
3.0%
8 13
 
2.7%
3 9
 
1.9%
7 7
 
1.5%
Other values (12) 37
 
7.8%
Hangul
ValueCountFrequency (%)
시 18
 
8.8%
간 14
 
6.9%
일 13
 
6.4%
이 11
 
5.4%
점 9
 
4.4%
능 8
 
3.9%
가 8
 
3.9%
상 7
 
3.4%
용 7
 
3.4%
영 7
 
3.4%
Other values (45) 102
50.0%
Math Operators
ValueCountFrequency (%)
∼ 2
100.0%
Punctuation
ValueCountFrequency (%)
※ 2
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

영업일
Categorical

Distinct17
Distinct (%)21.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
상시
39 
<NA>
20 
프로그램별 상이
 
3
매일
 
2
평일
 
2
Other values (12)
13 

Length

Max length23
Median length2
Mean length4
Min length2

Unique

Unique11 ?
Unique (%)13.9%

Sample

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

Common Values

ValueCountFrequency (%)
상시 39
49.4%
<NA> 20
25.3%
프로그램별 상이 3
 
3.8%
매일 2
 
2.5%
평일 2
 
2.5%
월요일 ~ 토요일 2
 
2.5%
월~금요일, 토요일(첫째, 셋째, 다섯째) 1
 
1.3%
10:00 - 18:30 1
 
1.3%
월요일 ~ 금요일 1
 
1.3%
미정 1
 
1.3%
Other values (7) 7
 
8.9%

Length

2023-12-12T13:41:54.850737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
상시 40
38.8%
na 20
19.4%
월요일 5
 
4.9%
5
 
4.9%
상이 4
 
3.9%
프로그램별 3
 
2.9%
제외 2
 
1.9%
금요일 2
 
1.9%
공휴일 2
 
1.9%
토요일 2
 
1.9%
Other values (15) 18
17.5%

관광종류
Categorical

Distinct8
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Memory size764.0 B
기타
34 
체험관광
12 
북구8경
8 
전통시장
8 
문화예술공간
7 
Other values (3)
10 

Length

Max length8
Median length6
Mean length3.4683544
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row북구8경
2nd row북구8경
3rd row북구8경
4th row북구8경
5th row북구8경

Common Values

ValueCountFrequency (%)
기타 34
43.0%
체험관광 12
 
15.2%
북구8경 8
 
10.1%
전통시장 8
 
10.1%
문화예술공간 7
 
8.9%
북구의길 5
 
6.3%
옥산로 테마거리 3
 
3.8%
자연관광 2
 
2.5%

Length

2023-12-12T13:41:54.978751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:41:55.134836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 34
41.5%
체험관광 12
 
14.6%
북구8경 8
 
9.8%
전통시장 8
 
9.8%
문화예술공간 7
 
8.5%
북구의길 5
 
6.1%
옥산로 3
 
3.7%
테마거리 3
 
3.7%
자연관광 2
 
2.4%

경도
Real number (ℝ)

UNIQUE 

Distinct79
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.58668
Minimum128.513
Maximum128.66524
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size843.0 B
2023-12-12T13:41:55.275021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.513
5-th percentile128.54398
Q1128.56964
median128.5885
Q3128.60433
95-th percentile128.617
Maximum128.66524
Range0.152243
Interquartile range (IQR)0.03469075

Descriptive statistics

Standard deviation0.025795297
Coefficient of variation (CV)0.00020060629
Kurtosis0.73386274
Mean128.58668
Median Absolute Deviation (MAD)0.0179493
Skewness-0.29173878
Sum10158.348
Variance0.00066539737
MonotonicityNot monotonic
2023-12-12T13:41:55.436669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.559545 1
 
1.3%
128.601013 1
 
1.3%
128.625846 1
 
1.3%
128.566783 1
 
1.3%
128.61327 1
 
1.3%
128.6148703 1
 
1.3%
128.5930318 1
 
1.3%
128.54538 1
 
1.3%
128.586086 1
 
1.3%
128.512999 1
 
1.3%
Other values (69) 69
87.3%
ValueCountFrequency (%)
128.512999 1
1.3%
128.524312 1
1.3%
128.540127 1
1.3%
128.54358 1
1.3%
128.5440277 1
1.3%
128.54538 1
1.3%
128.54657 1
1.3%
128.549892 1
1.3%
128.550989 1
1.3%
128.551058 1
1.3%
ValueCountFrequency (%)
128.665242 1
1.3%
128.628318 1
1.3%
128.6274658 1
1.3%
128.625846 1
1.3%
128.616017 1
1.3%
128.6158466 1
1.3%
128.6148703 1
1.3%
128.613864 1
1.3%
128.61327 1
1.3%
128.612724 1
1.3%

위도
Real number (ℝ)

UNIQUE 

Distinct79
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.906076
Minimum35.872367
Maximum35.968551
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size843.0 B
2023-12-12T13:41:55.614994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.872367
5-th percentile35.87429
Q135.886186
median35.89974
Q335.926031
95-th percentile35.947213
Maximum35.968551
Range0.09618448
Interquartile range (IQR)0.039845155

Descriptive statistics

Standard deviation0.024535608
Coefficient of variation (CV)0.00068332746
Kurtosis-0.53486198
Mean35.906076
Median Absolute Deviation (MAD)0.0169305
Skewness0.61553264
Sum2836.58
Variance0.00060199604
MonotonicityNot monotonic
2023-12-12T13:41:55.765088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.8999254 1
 
1.3%
35.8892973 1
 
1.3%
35.9021098 1
 
1.3%
35.8907601 1
 
1.3%
35.9075773 1
 
1.3%
35.94719952 1
 
1.3%
35.9252175 1
 
1.3%
35.9291244 1
 
1.3%
35.8956792 1
 
1.3%
35.8991307 1
 
1.3%
Other values (69) 69
87.3%
ValueCountFrequency (%)
35.87236682 1
1.3%
35.87305363 1
1.3%
35.87345354 1
1.3%
35.87414904 1
1.3%
35.87430516 1
1.3%
35.87520966 1
1.3%
35.87547916 1
1.3%
35.87641805 1
1.3%
35.8764423 1
1.3%
35.876903 1
1.3%
ValueCountFrequency (%)
35.9685513 1
1.3%
35.9665149 1
1.3%
35.9492453 1
1.3%
35.94733822 1
1.3%
35.94719952 1
1.3%
35.94448545 1
1.3%
35.9440842 1
1.3%
35.9439733 1
1.3%
35.9424266 1
1.3%
35.9423674 1
1.3%

Interactions

2023-12-12T13:41:50.565923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:41:50.375842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:41:50.673757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:41:50.473292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:41:55.851039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관광지명주소입장료휴무일영업시간영업일관광종류경도위도
관광지명1.0001.0001.0001.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.0000.9081.0001.000
입장료1.0001.0001.0000.9560.8980.9350.7600.5130.819
휴무일1.0001.0000.9561.0000.9660.9510.9230.8940.744
영업시간1.0001.0000.8980.9661.0000.9690.9080.7680.691
영업일1.0001.0000.9350.9510.9691.0000.0000.7480.572
관광종류1.0000.9080.7600.9230.9080.0001.0000.2540.464
경도1.0001.0000.5130.8940.7680.7480.2541.0000.674
위도1.0001.0000.8190.7440.6910.5720.4640.6741.000
2023-12-12T13:41:55.968513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업일관광종류
영업일1.0000.000
관광종류0.0001.000
2023-12-12T13:41:56.048998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경도위도영업일관광종류
경도1.000-0.1850.2630.096
위도-0.1851.0000.2480.244
영업일0.2630.2481.0000.000
관광종류0.0960.2440.0001.000

Missing values

2023-12-12T13:41:50.796705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:41:50.962499image/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.
2023-12-12T13:41:51.080370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

관광지명주소입장료휴무일영업시간영업일관광종류경도위도
0금호강하중도대구광역시 북구 노곡동 681-1<NA><NA><NA>상시북구8경128.55954535.899925
1꽃보라동산대구광역시 북구 산격동 1500-6<NA><NA>※ 야간조명시간 : 일몰 ~ p.m 11시상시북구8경128.60101335.889297
2운암지수변공원대구광역시 북구 구암동 349<NA><NA><NA>상시북구8경128.56770135.932486
3팔달대교 야경대구광역시 북구 팔달동 524-4<NA><NA><NA>상시북구8경128.54989235.896262
4경북대학교 캠퍼스대구광역시 북구 산격동 대학로 80<NA><NA><NA>상시북구8경128.61028135.888922
5함지공원대구광역시 북구 구암동 773<NA><NA><NA>상시북구8경128.56905135.942367
6구암서원대구광역시 북구 산격1동 산 79-1<NA><NA><NA>상시북구8경128.59920735.898772
7침산정대구광역시 북구 침산1동<NA><NA><NA>상시북구8경128.58713635.897263
8서리지수변생태공원대구광역시 북구 동호동 547<NA><NA><NA>상시자연관광128.56349535.966515
9대구에스파스대구광역시 신천동로 1000번지(북구 산격동) 무태교 아래 둔치<NA><NA><NA>상시자연관광128.59632335.903524
관광지명주소입장료휴무일영업시간영업일관광종류경도위도
69선사유적전시관대구광역시 북구 호국로57길 6 유니버시아드레포츠센터 1층<NA><NA><NA><NA>기타128.59788135.927856
70삼성상회터대구광역시 중구 인교동 59-3<NA><NA><NA><NA>기타128.58234735.874149
71연경동 천년느티나무대구광역시 북구 연경동 산136-1<NA><NA><NA><NA>기타128.61584735.944485
72연경서원(터)대구광역시 북구 연경동<NA><NA><NA><NA>기타128.62831835.947338
73미군47보급소대구광역시 중구 태평로3가<NA><NA><NA><NA>기타128.58805535.876418
74대구예술발전소대구광역시 중구 달성로22길 31-12<NA><NA><NA><NA>기타128.58451435.875479
75수창청춘맨숀대구광역시 중구 달성로22길 27<NA><NA><NA><NA>기타128.58318135.87521
76공구골목대구광역시 중구 인교동 278-9<NA><NA><NA><NA>기타128.58244935.873454
77호암고택대구광역시 중구 서성로15길 61<NA><NA><NA><NA>기타128.58415835.872367
78오토바이골목대구광역시 중구 인교동 282<NA><NA><NA><NA>기타128.58317635.873054