Overview

Dataset statistics

Number of variables9
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory79.5 B

Variable types

Text4
Categorical2
Numeric2
DateTime1

Dataset

Description부산광역시__문화관광해설사현황_20230930
Author부산광역시
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15066139

Alerts

해설사명칭 has constant value ""Constant
안내홈페이지 has constant value ""Constant
데이터기준일자 has constant value ""Constant
해설장소명 has unique valuesUnique
도로명주소 has unique valuesUnique
전화번호 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:54:31.840280
Analysis finished2023-12-10 16:54:33.323910
Duration1.48 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

해설장소명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T01:54:33.559792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9.5
Mean length6.875
Min length3

Characters and Unicode

Total characters165
Distinct characters84
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row40계단문화관(기념관)
2nd rowUN기념공원
3rd row감천문화마을
4th row금정산성(동문과남문)
5th row동삼동패총전시관
ValueCountFrequency (%)
40계단문화관(기념관 1
 
3.6%
un기념공원 1
 
3.6%
조선통신사역사관 1
 
3.6%
역사관 1
 
3.6%
부산시민공원 1
 
3.6%
금강공원 1
 
3.6%
부산광복기념관 1
 
3.6%
apec하우스 1
 
3.6%
누리마루 1
 
3.6%
생태탐방선 1
 
3.6%
Other values (18) 18
64.3%
2023-12-11T01:54:34.025600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14
 
8.5%
7
 
4.2%
7
 
4.2%
7
 
4.2%
6
 
3.6%
5
 
3.0%
5
 
3.0%
5
 
3.0%
4
 
2.4%
4
 
2.4%
Other values (74) 101
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 147
89.1%
Uppercase Letter 8
 
4.8%
Space Separator 4
 
2.4%
Open Punctuation 2
 
1.2%
Close Punctuation 2
 
1.2%
Decimal Number 2
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14
 
9.5%
7
 
4.8%
7
 
4.8%
7
 
4.8%
6
 
4.1%
5
 
3.4%
5
 
3.4%
5
 
3.4%
4
 
2.7%
4
 
2.7%
Other values (63) 83
56.5%
Uppercase Letter
ValueCountFrequency (%)
U 2
25.0%
N 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 (%)
4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 147
89.1%
Common 10
 
6.1%
Latin 8
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
14
 
9.5%
7
 
4.8%
7
 
4.8%
7
 
4.8%
6
 
4.1%
5
 
3.4%
5
 
3.4%
5
 
3.4%
4
 
2.7%
4
 
2.7%
Other values (63) 83
56.5%
Latin
ValueCountFrequency (%)
U 2
25.0%
N 2
25.0%
A 1
12.5%
P 1
12.5%
E 1
12.5%
C 1
12.5%
Common
ValueCountFrequency (%)
4
40.0%
( 2
20.0%
) 2
20.0%
4 1
 
10.0%
0 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 147
89.1%
ASCII 18
 
10.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
14
 
9.5%
7
 
4.8%
7
 
4.8%
7
 
4.8%
6
 
4.1%
5
 
3.4%
5
 
3.4%
5
 
3.4%
4
 
2.7%
4
 
2.7%
Other values (63) 83
56.5%
ASCII
ValueCountFrequency (%)
4
22.2%
U 2
11.1%
N 2
11.1%
( 2
11.1%
) 2
11.1%
A 1
 
5.6%
P 1
 
5.6%
E 1
 
5.6%
C 1
 
5.6%
4 1
 
5.6%

도로명주소
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T01:54:34.374897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length17.5
Min length12

Characters and Unicode

Total characters420
Distinct characters78
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row부산광역시 중구 동광길 49
2nd row부산광역시 남구 유엔평화로 93
3rd row부산광역시 사하구 감내2로 203
4th row부산광역시 동문로 38
5th row부산광역시 영도구 태종로 729
ValueCountFrequency (%)
부산광역시 24
25.0%
중구 4
 
4.2%
남구 3
 
3.1%
동래구 3
 
3.1%
영도구 2
 
2.1%
북구 2
 
2.1%
63 2
 
2.1%
서구 2
 
2.1%
사하구 2
 
2.1%
유엔평화로 2
 
2.1%
Other values (50) 50
52.1%
2023-12-11T01:54:34.947493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
72
17.1%
27
 
6.4%
26
 
6.2%
25
 
6.0%
25
 
6.0%
24
 
5.7%
23
 
5.5%
19
 
4.5%
1 11
 
2.6%
3 11
 
2.6%
Other values (68) 157
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 276
65.7%
Space Separator 72
 
17.1%
Decimal Number 70
 
16.7%
Dash Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
27
 
9.8%
26
 
9.4%
25
 
9.1%
25
 
9.1%
24
 
8.7%
23
 
8.3%
19
 
6.9%
9
 
3.3%
6
 
2.2%
4
 
1.4%
Other values (56) 88
31.9%
Decimal Number
ValueCountFrequency (%)
1 11
15.7%
3 11
15.7%
2 9
12.9%
9 8
11.4%
5 7
10.0%
6 7
10.0%
4 6
8.6%
7 4
 
5.7%
0 4
 
5.7%
8 3
 
4.3%
Space Separator
ValueCountFrequency (%)
72
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 276
65.7%
Common 144
34.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
27
 
9.8%
26
 
9.4%
25
 
9.1%
25
 
9.1%
24
 
8.7%
23
 
8.3%
19
 
6.9%
9
 
3.3%
6
 
2.2%
4
 
1.4%
Other values (56) 88
31.9%
Common
ValueCountFrequency (%)
72
50.0%
1 11
 
7.6%
3 11
 
7.6%
2 9
 
6.2%
9 8
 
5.6%
5 7
 
4.9%
6 7
 
4.9%
4 6
 
4.2%
7 4
 
2.8%
0 4
 
2.8%
Other values (2) 5
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 276
65.7%
ASCII 144
34.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
72
50.0%
1 11
 
7.6%
3 11
 
7.6%
2 9
 
6.2%
9 8
 
5.6%
5 7
 
4.9%
6 7
 
4.9%
4 6
 
4.2%
7 4
 
2.8%
0 4
 
2.8%
Other values (2) 5
 
3.5%
Hangul
ValueCountFrequency (%)
27
 
9.8%
26
 
9.4%
25
 
9.1%
25
 
9.1%
24
 
8.7%
23
 
8.3%
19
 
6.9%
9
 
3.3%
6
 
2.2%
4
 
1.4%
Other values (56) 88
31.9%

해설사명칭
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
문화관광해설사
24 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
문화관광해설사 24
100.0%

Length

2023-12-11T01:54:35.164875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:54:35.311988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문화관광해설사 24
100.0%

전화번호
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T01:54:35.579987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters288
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

Unique24 ?
Unique (%)100.0%

Sample

1st row051-600-4041
2nd row051-625-0625
3rd row051-204-1444
4th row051-888-6875
5th row051-403-1193
ValueCountFrequency (%)
051-600-4041 1
 
4.2%
051-625-0625 1
 
4.2%
051-631-0858 1
 
4.2%
051-850-6061 1
 
4.2%
051-860-7880 1
 
4.2%
051-860-7819 1
 
4.2%
051-743-1974 1
 
4.2%
051-294-2135 1
 
4.2%
051-901-1400 1
 
4.2%
051-405-8745 1
 
4.2%
Other values (14) 14
58.3%
2023-12-11T01:54:36.416458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 52
18.1%
- 48
16.7%
5 41
14.2%
1 38
13.2%
4 24
8.3%
8 19
 
6.6%
2 18
 
6.2%
6 16
 
5.6%
7 14
 
4.9%
3 10
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 240
83.3%
Dash Punctuation 48
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 52
21.7%
5 41
17.1%
1 38
15.8%
4 24
10.0%
8 19
 
7.9%
2 18
 
7.5%
6 16
 
6.7%
7 14
 
5.8%
3 10
 
4.2%
9 8
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 288
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 52
18.1%
- 48
16.7%
5 41
14.2%
1 38
13.2%
4 24
8.3%
8 19
 
6.6%
2 18
 
6.2%
6 16
 
5.6%
7 14
 
4.9%
3 10
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 288
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 52
18.1%
- 48
16.7%
5 41
14.2%
1 38
13.2%
4 24
8.3%
8 19
 
6.6%
2 18
 
6.2%
6 16
 
5.6%
7 14
 
4.9%
3 10
 
3.5%
Distinct22
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T01:54:36.721653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/