Overview

Dataset statistics

Number of variables8
Number of observations30
Missing cells6
Missing cells (%)2.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory69.4 B

Variable types

Numeric1
Text4
DateTime1
Categorical1
Boolean1

Dataset

Description전라남도 여수시 공영자전거 운영 포토갤러리(대여소의 순번, 대여소의 제목, 대여소의 위치 등)정보등을 제공하고 있습니다.
Author전라남도 여수시
URLhttps://www.data.go.kr/data/15049734/fileData.do

Alerts

파일경로 has constant value ""Constant
삭제여부 has constant value ""Constant
위치 has 6 (20.0%) missing valuesMissing
제목 has unique valuesUnique
파일이름 has unique valuesUnique
파일 원래 이름 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:29:46.630994
Analysis finished2023-12-11 23:29:47.734771
Duration1.1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.7
Minimum2
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T08:29:47.799273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.45
Q18.25
median15.5
Q322.75
95-th percentile28.55
Maximum30
Range28
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation8.5264295
Coefficient of variation (CV)0.54308468
Kurtosis-1.2329125
Mean15.7
Median Absolute Deviation (MAD)7.5
Skewness0.069691872
Sum471
Variance72.7
MonotonicityNot monotonic
2023-12-12T08:29:47.940936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
7 2
 
6.7%
11 1
 
3.3%
30 1
 
3.3%
29 1
 
3.3%
28 1
 
3.3%
27 1
 
3.3%
26 1
 
3.3%
25 1
 
3.3%
24 1
 
3.3%
23 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
2 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
6 1
3.3%
7 2
6.7%
8 1
3.3%
9 1
3.3%
10 1
3.3%
11 1
3.3%
ValueCountFrequency (%)
30 1
3.3%
29 1
3.3%
28 1
3.3%
27 1
3.3%
26 1
3.3%
25 1
3.3%
24 1
3.3%
23 1
3.3%
22 1
3.3%
21 1
3.3%

제목
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T08:29:48.143455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length5.9333333
Min length3

Characters and Unicode

Total characters178
Distinct characters93
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

Unique30 ?
Unique (%)100.0%

Sample

1st row망마경기장
2nd row여수버스종합터미널 앞
3rd row부영1단지 사거리
4th row삼일중학교
5th row선소체육공원
ValueCountFrequency (%)
입구 2
 
5.7%
망마경기장 1
 
2.9%
여수시청 1
 
2.9%
무인대여소 1
 
2.9%
돌산공원 1
 
2.9%
여서문화거리 1
 
2.9%
구봉중 1
 
2.9%
여수수산시장 1
 
2.9%
여수엑스포역 1
 
2.9%
여수버스종합터미널 1
 
2.9%
Other values (24) 24
68.6%
2023-12-12T08:29:48.547821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
 
6.7%
11
 
6.2%
7
 
3.9%
7
 
3.9%
- 6
 
3.4%
0 6
 
3.4%
5
 
2.8%
5
 
2.8%
5
 
2.8%
4
 
2.2%
Other values (83) 110
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 154
86.5%
Decimal Number 13
 
7.3%
Dash Punctuation 6
 
3.4%
Space Separator 5
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12
 
7.8%
11
 
7.1%
7
 
4.5%
7
 
4.5%
5
 
3.2%
5
 
3.2%
4
 
2.6%
4
 
2.6%
3
 
1.9%
3
 
1.9%
Other values (73) 93
60.4%
Decimal Number
ValueCountFrequency (%)
0 6
46.2%
7 1
 
7.7%
5 1
 
7.7%
6 1
 
7.7%
4 1
 
7.7%
1 1
 
7.7%
2 1
 
7.7%
3 1
 
7.7%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 154
86.5%
Common 24
 
13.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12
 
7.8%
11
 
7.1%
7
 
4.5%
7
 
4.5%
5
 
3.2%
5
 
3.2%
4
 
2.6%
4
 
2.6%
3
 
1.9%
3
 
1.9%
Other values (73) 93
60.4%
Common
ValueCountFrequency (%)
- 6
25.0%
0 6
25.0%
5
20.8%
7 1
 
4.2%
5 1
 
4.2%
6 1
 
4.2%
4 1
 
4.2%
1 1
 
4.2%
2 1
 
4.2%
3 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 154
86.5%
ASCII 24
 
13.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
12
 
7.8%
11
 
7.1%
7
 
4.5%
7
 
4.5%
5
 
3.2%
5
 
3.2%
4
 
2.6%
4
 
2.6%
3
 
1.9%
3
 
1.9%
Other values (73) 93
60.4%
ASCII
ValueCountFrequency (%)
- 6
25.0%
0 6
25.0%
5
20.8%
7 1
 
4.2%
5 1
 
4.2%
6 1
 
4.2%
4 1
 
4.2%
1 1
 
4.2%
2 1
 
4.2%
3 1
 
4.2%

위치
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing6
Missing (%)20.0%
Memory size372.0 B
2023-12-12T08:29:48.800340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length13.125
Min length3

Characters and Unicode

Total characters315
Distinct characters79
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row여수시 시전동 망마경기장 입구
2nd row여수시 오림동 버스터미널 건너
3rd row여수시
4th row여수시 소라면 죽림리
5th row여수시 학동 선소공원
ValueCountFrequency (%)
여수시 24
28.2%
9
 
10.6%
학동 5
 
5.9%
4
 
4.7%
오림동 2
 
2.4%
소호동 2
 
2.4%
수정동 2
 
2.4%
입구 2
 
2.4%
전남대 1
 
1.2%
웅천동 1
 
1.2%
Other values (33) 33
38.8%
2023-12-12T08:29:49.196065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
61
19.4%
28
 
8.9%
27
 
8.6%
26
 
8.3%
23
 
7.3%
9
 
2.9%
7
 
2.2%
7
 
2.2%
7
 
2.2%
6
 
1.9%
Other values (69) 114
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 254
80.6%
Space Separator 61
 
19.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
28
 
11.0%
27
 
10.6%
26
 
10.2%
23
 
9.1%
9
 
3.5%
7
 
2.8%
7
 
2.8%
7
 
2.8%
6
 
2.4%
6
 
2.4%
Other values (68) 108
42.5%
Space Separator
ValueCountFrequency (%)
61
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 254
80.6%
Common 61
 
19.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
28
 
11.0%
27
 
10.6%
26
 
10.2%
23
 
9.1%
9
 
3.5%
7
 
2.8%
7
 
2.8%
7
 
2.8%
6
 
2.4%
6
 
2.4%
Other values (68) 108
42.5%
Common
ValueCountFrequency (%)
61
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 254
80.6%
ASCII 61
 
19.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
61
100.0%
Hangul
ValueCountFrequency (%)
28
 
11.0%
27
 
10.6%
26
 
10.2%
23
 
9.1%
9
 
3.5%
7
 
2.8%
7
 
2.8%
7
 
2.8%
6
 
2.4%
6
 
2.4%
Other values (68) 108
42.5%
Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2018-01-05 00:00:00
Maximum2018-05-28 00:00:00
2023-12-12T08:29:49.352238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:29:49.479259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

파일경로
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
/html/user/images/photo_upload/
30 

Length

Max length31
Median length31
Mean length31
Min length31

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row/html/user/images/photo_upload/
2nd row/html/user/images/photo_upload/
3rd row/html/user/images/photo_upload/
4th row/html/user/images/photo_upload/
5th row/html/user/images/photo_upload/

Common Values

ValueCountFrequency (%)
/html/user/images/photo_upload/ 30
100.0%

Length

2023-12-12T08:29:49.593964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:29:49.704812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
html/user/images/photo_upload 30
100.0%

파일이름
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T08:29:49.926036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length23.533333
Min length21

Characters and Unicode

Total characters706
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row20180528053620826_9.jpg
2nd row20180528053746728_10.jpg
3rd row20180528054314306_11.jpg
4th row20180528054405308_12.jpg
5th row20180528054452179_13.jpg
ValueCountFrequency (%)
20180528053620826_9.jpg 1
 
3.3%
20180528053746728_10.jpg 1
 
3.3%
20180528060322789_28.jpg 1
 
3.3%
20180528060235148_27.jpg 1
 
3.3%
2018052806014188_26.jpg 1
 
3.3%
20180528060032906_25.jpg 1
 
3.3%
20180528055954306_24.jpg 1
 
3.3%
20180528055913872_23.jpg 1
 
3.3%
20180528055831635_22.jpg 1
 
3.3%
20180528055731308_21.jpg 1
 
3.3%
Other values (20) 20
66.7%
2023-12-12T08:29:50.339587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/