Overview

Dataset statistics

Number of variables20
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory169.0 B

Variable types

Text5
Categorical9
Numeric3
Boolean3

Dataset

Description부산관광공사_문화관광해설사의집_20230208
Author부산관광공사
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15112288

Alerts

시도명 has constant value ""Constant
운영시작시각(하절기) has constant value ""Constant
운영종료시각(하절기) has constant value ""Constant
운영시작시각(동절기) has constant value ""Constant
운영종료시각(동절기) has constant value ""Constant
운영기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
경도 is highly overall correlated with 휴무일 and 1 other fieldsHigh correlation
휴무일 is highly overall correlated with 경도High correlation
영어안내가능여부 is highly overall correlated with 경도High correlation
홈페이지주소 is highly imbalanced (73.3%)Imbalance
해설사의 집명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:49:06.956830
Analysis finished2023-12-10 17:49:10.853670
Duration3.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

해설사의 집명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T02:49:11.140186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length6.2727273
Min length3

Characters and Unicode

Total characters138
Distinct characters77
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row40계단문화관
2nd rowUN기념공원
3rd row감천문화마을
4th row동삼동패총전시관
5th row몰운대
ValueCountFrequency (%)
40계단문화관 1
 
4.2%
un기념공원 1
 
4.2%
역사관 1
 
4.2%
조선통신사 1
 
4.2%
부산시민공원 1
 
4.2%
광복기념관 1
 
4.2%
낙동강생태탐방선 1
 
4.2%
하우스 1
 
4.2%
누리마루apec 1
 
4.2%
un평화기념관 1
 
4.2%
Other values (14) 14
58.3%
2023-12-11T02:49:11.857044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 12
 
8.7%
념 6
 
4.3%
기 6
 
4.3%
산 5
 
3.6%
사 5
 
3.6%
화 4
 
2.9%
원 4
 
2.9%
공 4
 
2.9%
동 3
 
2.2%
민 3
 
2.2%
Other values (67) 86
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 126
91.3%
Uppercase Letter 8
 
5.8%
Space Separator 2
 
1.4%
Decimal Number 2
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 12
 
9.5%
념 6
 
4.8%
기 6
 
4.8%
산 5
 
4.0%
사 5
 
4.0%
화 4
 
3.2%
원 4
 
3.2%
공 4
 
3.2%
동 3
 
2.4%
민 3
 
2.4%
Other values (58) 74
58.7%
Uppercase Letter
ValueCountFrequency (%)
N 2
25.0%
U 2
25.0%
A 1
12.5%
P 1
12.5%
E 1
12.5%
C 1
12.5%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
0 1
50.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 126
91.3%
Latin 8
 
5.8%
Common 4
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 12
 
9.5%
념 6
 
4.8%
기 6
 
4.8%
산 5
 
4.0%
사 5
 
4.0%
화 4
 
3.2%
원 4
 
3.2%
공 4
 
3.2%
동 3
 
2.4%
민 3
 
2.4%
Other values (58) 74
58.7%
Latin
ValueCountFrequency (%)
N 2
25.0%
U 2
25.0%
A 1
12.5%
P 1
12.5%
E 1
12.5%
C 1
12.5%
Common
ValueCountFrequency (%)
2
50.0%
4 1
25.0%
0 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 126
91.3%
ASCII 12
 
8.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 12
 
9.5%
념 6
 
4.8%
기 6
 
4.8%
산 5
 
4.0%
사 5
 
4.0%
화 4
 
3.2%
원 4
 
3.2%
공 4
 
3.2%
동 3
 
2.4%
민 3
 
2.4%
Other values (58) 74
58.7%
ASCII
ValueCountFrequency (%)
2
16.7%
N 2
16.7%
U 2
16.7%
A 1
8.3%
P 1
8.3%
E 1
8.3%
C 1
8.3%
4 1
8.3%
0 1
8.3%

해설사의집 위치명
Text

Distinct18
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T02:49:12.179604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9545455
Min length2

Characters and Unicode

Total characters65
Distinct characters28
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)68.2%

Sample

1st row중앙동
2nd row대연동
3rd row감천동
4th row동삼동
5th row다대동
ValueCountFrequency (%)
대연동 3
 
13.6%
광복동 2
 
9.1%
동삼동 2
 
9.1%
부민동 1
 
4.5%
중앙동 1
 
4.5%
범일동 1
 
4.5%
범전동 1
 
4.5%
하단동 1
 
4.5%
우동 1
 
4.5%
안락동 1
 
4.5%
Other values (8) 8
36.4%
2023-12-11T02:49:12.772897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 25
38.5%
대 4
 
6.2%
광 3
 
4.6%
복 3
 
4.6%
연 3
 
4.6%
범 2
 
3.1%
삼 2
 
3.1%
영 2
 
3.1%
천 2
 
3.1%
하 1
 
1.5%
Other values (18) 18
27.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 65
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 25
38.5%
대 4
 
6.2%
광 3
 
4.6%
복 3
 
4.6%
연 3
 
4.6%
범 2
 
3.1%
삼 2
 
3.1%
영 2
 
3.1%
천 2
 
3.1%
하 1
 
1.5%
Other values (18) 18
27.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 65
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 25
38.5%
대 4
 
6.2%
광 3
 
4.6%
복 3
 
4.6%
연 3
 
4.6%
범 2
 
3.1%
삼 2
 
3.1%
영 2
 
3.1%
천 2
 
3.1%
하 1
 
1.5%
Other values (18) 18
27.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 65
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 25
38.5%
대 4
 
6.2%
광 3
 
4.6%
복 3
 
4.6%
연 3
 
4.6%
범 2
 
3.1%
삼 2
 
3.1%
영 2
 
3.1%
천 2
 
3.1%
하 1
 
1.5%
Other values (18) 18
27.7%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
부산광역시
22 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산광역시 22
100.0%

Length

2023-12-11T02:49:13.030403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:49:13.225719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 22
100.0%

시군구명
Text

Distinct12
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T02:49:13.460605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length2
Mean length2.5
Min length2

Characters and Unicode

Total characters55
Distinct characters18
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)31.8%

Sample

1st row중구
2nd row남구
3rd row사하구
4th row영도구
5th row사하구
ValueCountFrequency (%)
중구 5
22.7%
남구 3
13.6%
사하구 3
13.6%
영도구 2
 
9.1%
동래구 2
 
9.1%
금정구 1
 
4.5%
북구 1
 
4.5%
수영구 1
 
4.5%
서구 1
 
4.5%
해운대구 1
 
4.5%
Other values (2) 2
 
9.1%
2023-12-11T02:49:14.030389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 22
40.0%
중 5
 
9.1%
남 3
 
5.5%
사 3
 
5.5%
하 3
 
5.5%
영 3
 
5.5%
동 3
 
5.5%
도 2
 
3.6%
래 2
 
3.6%
서 1
 
1.8%
Other values (8) 8
 
14.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 22
40.0%
중 5
 
9.1%
남 3
 
5.5%
사 3
 
5.5%
하 3
 
5.5%
영 3
 
5.5%
동 3
 
5.5%
도 2
 
3.6%
래 2
 
3.6%
서 1
 
1.8%
Other values (8) 8
 
14.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 22
40.0%
중 5
 
9.1%
남 3
 
5.5%
사 3
 
5.5%
하 3
 
5.5%
영 3
 
5.5%
동 3
 
5.5%
도 2
 
3.6%
래 2
 
3.6%
서 1
 
1.8%
Other values (8) 8
 
14.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 22
40.0%
중 5
 
9.1%
남 3
 
5.5%
사 3
 
5.5%
하 3
 
5.5%
영 3
 
5.5%
동 3
 
5.5%
도 2
 
3.6%
래 2
 
3.6%
서 1
 
1.8%
Other values (8) 8
 
14.5%

휴무일
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Memory size308.0 B
월+화+수+목+금
7 
월
7 
설연휴+추석연휴
4 
월+화+수
2 
연중무휴
1 

Length

Max length9
Median length8
Mean length5.5
Min length1

Unique

Unique2 ?
Unique (%)9.1%

Sample

1st row월+화+수+목+금
2nd row설연휴+추석연휴
3rd row설연휴+추석연휴
4th row월+화+수+목+금
5th row월+화+수+목+금

Common Values

ValueCountFrequency (%)
월+화+수+목+금 7
31.8%
월 7
31.8%
설연휴+추석연휴 4
18.2%
월+화+수 2
 
9.1%
연중무휴 1
 
4.5%
일+월+화 1
 
4.5%

Length

2023-12-11T02:49:14.282840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:49:14.528902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
월+화+수+목+금 7
31.8%
월 7
31.8%
설연휴+추석연휴 4
18.2%
월+화+수 2
 
9.1%
연중무휴 1
 
4.5%
일+월+화 1
 
4.5%

운영시작시각(하절기)
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
10:00
22 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
10:00 22
100.0%

Length

2023-12-11T02:49:14.755516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:49:14.937393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10:00 22
100.0%

운영종료시각(하절기)
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
17:00
22 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row17:00
2nd row17:00
3rd row17:00
4th row17:00
5th row17:00

Common Values

ValueCountFrequency (%)
17:00 22
100.0%

Length

2023-12-11T02:49:15.103923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:49:15.276024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
17:00 22
100.0%

운영시작시각(동절기)
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
10:00
22 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
10:00 22
100.0%

Length

2023-12-11T02:49:15.479489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:49:15.656778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10:00 22
100.0%

운영종료시각(동절기)
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
17:00
22 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row17:00
2nd row17:00
3rd row17:00
4th row17:00
5th row17:00

Common Values

ValueCountFrequency (%)
17:00 22
100.0%

Length

2023-12-11T02:49:16.299432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:49:16.484057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
17:00 22
100.0%

평균근무인원수
Real number (ℝ)

Distinct6
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.9090909
Minimum2
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-11T02:49:16.666703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median5
Q36
95-th percentile7
Maximum7
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5089918
Coefficient of variation (CV)0.30738722
Kurtosis-0.8732648
Mean4.9090909
Median Absolute Deviation (MAD)1
Skewness-0.014362572
Sum108
Variance2.2770563
MonotonicityNot monotonic
2023-12-11T02:49:16.880508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 6
27.3%
4 5
22.7%
7 5
22.7%
3 3
13.6%
6 2
 
9.1%
2 1
 
4.5%
ValueCountFrequency (%)
2 1
 
4.5%
3 3
13.6%
4 5
22.7%
5 6
27.3%
6 2
 
9.1%
7 5
22.7%
ValueCountFrequency (%)
7 5
22.7%
6 2
 
9.1%
5 6
27.3%
4 5
22.7%
3 3
13.6%
2 1
 
4.5%

영어안내가능여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size154.0 B
True
16 
False
6 
ValueCountFrequency (%)
True 16
72.7%
False 6
 
27.3%
2023-12-11T02:49:17.077161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

일본어안내가능여부
Boolean

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size154.0 B
True
15 
False
7 
ValueCountFrequency (%)
True 15
68.2%
False 7
31.8%
2023-12-11T02:49:17.247726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

중국어안내가능여부
Boolean

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size154.0 B
True
12 
False
10 
ValueCountFrequency (%)
True 12
54.5%
False 10
45.5%
2023-12-11T02:49:17.425453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

해설사의 집전화번호
Text

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T02:49:17.720274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.045455
Min length12

Characters and Unicode

Total characters265
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

Unique20 ?
Unique (%)90.9%

Sample

1st row051-600-4541
2nd row051-625-0625
3rd row070-4219-5556
4th row051-403-1193
5th row051-207-6041
ValueCountFrequency (%)
051-403-1193 2
 
9.1%
051-600-4541 1
 
4.5%
051-244-6345 1
 
4.5%
051-631-0858 1
 
4.5%
051-850-6061 1
 
4.5%
051-860-7808 1
 
4.5%
051-294-2135 1
 
4.5%
051-743-1974 1
 
4.5%
051-901-1408 1
 
4.5%
051-405-2004 1
 
4.5%
Other values (11) 11
50.0%
2023-12-11T02:49:18.557364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 50
18.9%
- 44
16.6%
1 39
14.7%
5 38
14.3%
4 19
 
7.2%
3 19
 
7.2%
6 15
 
5.7%
2 14
 
5.3%
8 10
 
3.8%
7 10
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 221
83.4%
Dash Punctuation 44
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 50
22.6%
1 39
17.6%
5 38
17.2%
4 19
 
8.6%
3 19
 
8.6%
6 15
 
6.8%
2 14
 
6.3%
8 10
 
4.5%
7 10
 
4.5%
9 7
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 265
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 50
18.9%
- 44
16.6%
1 39
14.7%
5 38
14.3%
4 19
 
7.2%
3 19
 
7.2%
6 15
 
5.7%
2 14
 
5.3%
8 10
 
3.8%
7 10
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 265
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 50
18.9%
- 44
16.6%
1 39
14.7%
5 38
14.3%
4 19
 
7.2%
3 19
 
7.2%
6 15
 
5.7%
2 14
 
5.3%
8 10
 
3.8%
7 10
 
3.8%

소재지도로명주소
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T02:49:19.162020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length20.181818
Min length15

Characters and Unicode

Total characters444
Distinct characters79
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

Unique22 ?
Unique (%)100.0%

Sample

1st row부산광역시 중구 동광길 49(동광동5가)
2nd row부산광역시 남구 유엔평화로 93
3rd row부산광역시 사하구 감내2로 177-11(감천동)
4th row부산광역시 영도구 태종로 729(동삼동)
5th row부산광역시 사하구 몰운대1길 73(다대동)
ValueCountFrequency (%)
부산광역시 22
24.4%
중구 4
 
4.4%
사하구 3
 
3.3%
남구 3
 
3.3%
서구 2
 
2.2%
영도구 2
 
2.2%
동래구 2
 
2.2%
유엔평화로 2
 
2.2%
충렬대로 1
 
1.1%
345 1
 
1.1%
Other values (48) 48
53.3%
2023-12-11T02:49:19.993773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
68
 
15.3%
광 25
 
5.6%
산 24
 
5.4%
시 24
 
5.4%
부 23
 
5.2%
역 22
 
5.0%
구 22
 
5.0%
로 18
 
4.1%
1 17
 
3.8%
동 17
 
3.8%
Other values (69) 184
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 285
64.2%
Decimal Number 74
 
16.7%
Space Separator 68
 
15.3%
Open Punctuation 8
 
1.8%
Close Punctuation 8
 
1.8%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 25
 
8.8%
산 24
 
8.4%
시 24
 
8.4%
부 23
 
8.1%
역 22
 
7.7%
구 22
 
7.7%
로 18
 
6.3%
동 17
 
6.0%
길 9
 
3.2%
대 6
 
2.1%
Other values (55) 95
33.3%
Decimal Number
ValueCountFrequency (%)
1 17
23.0%
3 13
17.6%
9 9
12.2%
2 8
10.8%
7 7
9.5%
6 6
 
8.1%
5 5
 
6.8%
4 5
 
6.8%
0 3
 
4.1%
8 1
 
1.4%
Space Separator
ValueCountFrequency (%)
68
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 285
64.2%
Common 159
35.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 25
 
8.8%
산 24
 
8.4%
시 24
 
8.4%
부 23
 
8.1%
역 22
 
7.7%
구 22
 
7.7%
로 18
 
6.3%
동 17
 
6.0%
길 9
 
3.2%
대 6
 
2.1%
Other values (55) 95
33.3%
Common
ValueCountFrequency (%)
68
42.8%
1 17
 
10.7%
3 13
 
8.2%
9 9
 
5.7%
( 8
 
5.0%
) 8
 
5.0%
2 8
 
5.0%
7 7
 
4.4%
6 6
 
3.8%
5 5
 
3.1%
Other values (4) 10
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 285
64.2%
ASCII 159
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
68
42.8%
1 17
 
10.7%
3 13
 
8.2%
9 9
 
5.7%
( 8
 
5.0%
) 8
 
5.0%
2 8
 
5.0%
7 7
 
4.4%
6 6
 
3.8%
5 5
 
3.1%
Other values (4) 10
 
6.3%
Hangul
ValueCountFrequency (%)
광 25
 
8.8%
산 24
 
8.4%
시 24
 
8.4%
부 23
 
8.1%
역 22
 
7.7%
구 22
 
7.7%
로 18
 
6.3%
동 17
 
6.0%
길 9
 
3.2%
대 6
 
2.1%
Other values (55) 95
33.3%

운영기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
부산광역시
22 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산광역시 22
100.0%

Length

2023-12-11T02:49:20.260283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:49:20.473443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 22
100.0%

홈페이지주소
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
https://www.visitbusan.net/index.do?menuCd=DOM_000000204015000000
21 
http://www.demopark.or.kr/main/
 
1

Length

Max length65
Median length65
Mean length63.454545
Min length31

Unique

Unique1 ?
Unique (%)4.5%

Sample

1st rowhttps://www.visitbusan.net/index.do?menuCd=DOM_000000204015000000
2nd rowhttps://www.visitbusan.net/index.do?menuCd=DOM_000000204015000000
3rd rowhttps://www.visitbusan.net/index.do?menuCd=DOM_000000204015000000
4th rowhttps://www.visitbusan.net/index.do?menuCd=DOM_000000204015000000
5th rowhttps://www.visitbusan.net/index.do?menuCd=DOM_000000204015000000

Common Values

ValueCountFrequency (%)
https://www.visitbusan.net/index.do?menuCd=DOM_000000204015000000 21
95.5%
http://www.demopark.or.kr/main/ 1
 
4.5%

Length

2023-12-11T02:49:20.721854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:49:20.947294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
https://www.visitbusan.net/index.do?menucd=dom_000000204015000000 21
95.5%
http://www.demopark.or.kr/main 1
 
4.5%

위도
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.134181
Minimum35.044299
Maximum35.283043
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-11T02:49:21.166764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.044299
5-th percentile35.060269
Q135.102406
median35.118252
Q335.16219
95-th percentile35.232503
Maximum35.283043
Range0.23874455
Interquartile range (IQR)0.059783683

Descriptive statistics

Standard deviation0.057362424
Coefficient of variation (CV)0.0016326672
Kurtosis0.96715011
Mean35.134181
Median Absolute Deviation (MAD)0.01856639
Skewness0.96510618
Sum772.95198
Variance0.0032904476
MonotonicityNot monotonic
2023-12-11T02:49:21.422533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
35.1050057 1
 
4.5%
35.10374876 1
 
4.5%
35.110435 1
 
4.5%
35.13574252 1
 
4.5%
35.16545511 1
 
4.5%
35.111315 1
 
4.5%
35.11175178 1
 
4.5%
35.152393 1
 
4.5%
35.12475247 1
 
4.5%
35.05969333 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
35.04429853 1
4.5%
35.05969333 1
4.5%
35.07121624 1
4.5%
35.09860974 1
4.5%
35.10181902 1
4.5%
35.10195828 1
4.5%
35.10374876 1
4.5%
35.1050057 1
4.5%
35.110435 1
4.5%
35.111315 1
4.5%
ValueCountFrequency (%)
35.28304308 1
4.5%
35.23375209 1
4.5%
35.20877662 1
4.5%
35.19955923 1
4.5%
35.17170306 1
4.5%
35.16545511 1
4.5%
35.152393 1
4.5%
35.13574252 1
4.5%
35.12955624 1
4.5%
35.12739717 1
4.5%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.05406
Minimum128.94875
Maximum129.15136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-11T02:49:21.683845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.94875
5-th percentile128.97137
Q1129.02762
median129.05815
Q3129.0925
95-th percentile129.11292
Maximum129.15136
Range0.2026162
Interquartile range (IQR)0.06488025

Descriptive statistics

Standard deviation0.048175156
Coefficient of variation (CV)0.00037329439
Kurtosis0.068899213
Mean129.05406
Median Absolute Deviation (MAD)0.03390595
Skewness-0.26875169
Sum2839.1893
Variance0.0023208456
MonotonicityNot monotonic
2023-12-11T02:49:21.967143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
129.034456 1
 
4.5%
129.0175954 1
 
4.5%
129.02792 1
 
4.5%
129.0604498 1
 
4.5%
129.0558537 1
 
4.5%
129.027519 1
 
4.5%
128.9487457 1
 
4.5%
129.1513619 1
 
4.5%
129.093268 1
 
4.5%
129.0798061 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
128.9487457 1
4.5%
128.9694161 1
4.5%
129.008452 1
4.5%
129.0103589 1
4.5%
129.0175954 1
4.5%
129.027519 1
4.5%
129.02792 1
4.5%
129.0322204 1
4.5%
129.034456 1
4.5%
129.0345655 1
4.5%
ValueCountFrequency (%)
129.1513619 1
4.5%
129.113811 1
4.5%
129.0960626 1
4.5%
129.0959922 1
4.5%
129.093268 1
4.5%
129.0929413 1
4.5%
129.0911741 1
4.5%
129.0798061 1
4.5%
129.0796689 1
4.5%
129.0676212 1
4.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-02-08
22 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-02-08
2nd row2023-02-08
3rd row2023-02-08
4th row2023-02-08
5th row2023-02-08

Common Values

ValueCountFrequency (%)
2023-02-08 22
100.0%

Length

2023-12-11T02:49:22.232970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:49:22.442451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-02-08 22
100.0%

Interactions

2023-12-11T02:49:09.174724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:49:08.057561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:49:08.586195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:49:09.411349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:49:08.220089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:49:08.763981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:49:09.641941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:49:08.390528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:49:08.938011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:49:22.585380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
해설사의 집명해설사의집 위치명시군구명휴무일평균근무인원수영어안내가능여부일본어안내가능여부중국어안내가능여부해설사의 집전화번호소재지도로명주소홈페이지주소위도경도
해설사의 집명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
해설사의집 위치명1.0001.0001.0000.9860.0001.0000.0000.3080.9611.0001.0000.9790.984
시군구명1.0001.0001.0000.7170.1200.7220.0000.0000.9681.0000.0000.9630.952
휴무일1.0000.9860.7171.0000.0000.6660.0000.3840.8181.0000.0000.5340.760
평균근무인원수1.0000.0000.1200.0001.0000.1490.7030.7430.0001.0000.0000.6980.368
영어안내가능여부1.0001.0000.7220.6660.1491.0000.3510.2130.0001.0000.0000.0980.652
일본어안내가능여부1.0000.0000.0000.0000.7030.3511.0000.0000.0001.0000.0000.0000.000
중국어안내가능여부1.0000.3080.0000.3840.7430.2130.0001.0000.0001.0000.0000.0000.000
해설사의 집전화번호1.0000.9610.9680.8180.0000.0000.0000.0001.0001.0001.0000.8080.911
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
홈페이지주소1.0001.0000.0000.0000.0000.0000.0000.0001.0001.0001.0000.0000.000
위도1.0000.9790.9630.5340.6980.0980.0000.0000.8081.0000.0001.0000.956
경도1.0000.9840.9520.7600.3680.6520.0000.0000.9111.0000.0000.9561.000
2023-12-11T02:49:22.879966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영어안내가능여부중국어안내가능여부홈페이지주소휴무일일본어안내가능여부
영어안내가능여부1.0000.1280.0000.4260.224
중국어안내가능여부0.1281.0000.0000.2250.000
홈페이지주소0.0000.0001.0000.0000.000
휴무일0.4260.2250.0001.0000.000
일본어안내가능여부0.2240.0000.0000.0001.000
2023-12-11T02:49:23.114288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
평균근무인원수위도경도휴무일영어안내가능여부일본어안내가능여부중국어안내가능여부홈페이지주소
평균근무인원수1.000-0.0370.1790.0000.0000.4540.4850.000
위도-0.0371.0000.4090.2280.0000.0000.0000.000
경도0.1790.4091.0000.5590.5280.0000.0000.000
휴무일0.0000.2280.5591.0000.4260.0000.2250.000
영어안내가능여부0.0000.0000.5280.4261.0000.2240.1280.000
일본어안내가능여부0.4540.0000.0000.0000.2241.0000.0000.000
중국어안내가능여부0.4850.0000.0000.2250.1280.0001.0000.000
홈페이지주소0.0000.0000.0000.0000.0000.0000.0001.000

Missing values

2023-12-11T02:49:10.033488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:49:10.625393image/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

해설사의 집명해설사의집 위치명시도명시군구명휴무일운영시작시각(하절기)운영종료시각(하절기)운영시작시각(동절기)운영종료시각(동절기)평균근무인원수영어안내가능여부일본어안내가능여부중국어안내가능여부해설사의 집전화번호소재지도로명주소운영기관명홈페이지주소위도경도데이터기준일자
040계단문화관중앙동부산광역시중구월+화+수+목+금10:0017:0010:0017:004NYY051-600-4541부산광역시 중구 동광길 49(동광동5가)부산광역시https://www.visitbusan.net/index.do?menuCd=DOM_00000020401500000035.105006129.0344562023-02-08
1UN기념공원대연동부산광역시남구설연휴+추석연휴10:0017:0010:0017:005YNY051-625-0625부산광역시 남구 유엔평화로 93부산광역시https://www.visitbusan.net/index.do?menuCd=DOM_00000020401500000035.127397129.0960632023-02-08
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6범어사청룡동부산광역시금정구설연휴+추석연휴10:0017:0010:0017:007YYY051-508-3122부산광역시 금정구 범어사로 250(청룡동)부산광역시https://www.visitbusan.net/index.do?menuCd=DOM_00000020401500000035.283043129.0676212023-02-08
7복천박물관복천동부산광역시동래구월+화+수+목+금10:0017:0010:0017:004YNY051-550-0335부산광역시 동래구 복천로 63부산광역시https://www.visitbusan.net/index.do?menuCd=DOM_00000020401500000035.208777129.0911742023-02-08
8부산박물관문화체험관대연동부산광역시남구월10:0017:0010:0017:005YYY051-610-7140부산광역시 남구 유엔평화로 63(대연동)부산광역시https://www.visitbusan.net/index.do?menuCd=DOM_00000020401500000035.129556129.0929412023-02-08
9부산어촌민속관화명동부산광역시북구월+화+수+목+금10:0017:0010:0017:003YYN051-363-3333부산광역시 북구 학사로 128(화명동)부산광역시https://www.visitbusan.net/index.do?menuCd=DOM_00000020401500000035.233752129.0084522023-02-08
해설사의 집명해설사의집 위치명시도명시군구명휴무일운영시작시각(하절기)운영종료시각(하절기)운영시작시각(동절기)운영종료시각(동절기)평균근무인원수영어안내가능여부일본어안내가능여부중국어안내가능여부해설사의 집전화번호소재지도로명주소운영기관명홈페이지주소위도경도데이터기준일자
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