Overview

Dataset statistics

Number of variables3
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory322.3 KiB
Average record size in memory33.0 B

Variable types

DateTime1
Text1
Numeric1

Dataset

Description제주공공와이파이 사용자 추이 데이터 입니다.
Author제주데이터허브
URLhttps://www.jejudatahub.net/data/view/data/188

Reproduction

Analysis started2023-12-11 20:01:52.693413
Analysis finished2023-12-11 20:01:53.170447
Duration0.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Date

Distinct182
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2020-01-01 00:00:00
Maximum2020-06-30 00:00:00
2023-12-12T05:01:53.219727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:01:53.333278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

AP그룹명
Text

Distinct812
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T05:01:53.507066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length25
Mean length11.9621
Min length3

Characters and Unicode

Total characters119621
Distinct characters416
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique251 ?
Unique (%)2.5%

Sample

1st row제주미니랜드
2nd row에코랜드테마파크
3rd row(버스)보건소[남]
4th row(버스)오현중고등학교(화북초등학교방면)
5th row(EV충전소)제주소방서 항만119센터
ValueCountFrequency (%)
공영주차장 197
 
1.6%
해변 126
 
1.0%
거리 114
 
0.9%
인근 84
 
0.7%
버스)외도부영 79
 
0.6%
방면 61
 
0.5%
버스)정부제주 51
 
0.4%
ev충전소)하귀농협 50
 
0.4%
ev충전소)제주도 47
 
0.4%
후문 46
 
0.4%
Other values (967) 11386
93.0%
2023-12-12T05:01:53.834363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 8426
 
7.0%
) 8375
 
7.0%
스 5400
 
4.5%
버 4998
 
4.2%
[ 3797
 
3.2%
] 3773
 
3.2%
주 2779
 
2.3%
동 2641
 
2.2%
2243
 
1.9%
소 2233
 
1.9%
Other values (406) 74956
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 87166
72.9%
Open Punctuation 12223
 
10.2%
Close Punctuation 12148
 
10.2%
Uppercase Letter 3657
 
3.1%
Space Separator 2243
 
1.9%
Decimal Number 2004
 
1.7%
Other Punctuation 131
 
0.1%
Dash Punctuation 45
 
< 0.1%
Connector Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 5400
 
6.2%
버 4998
 
5.7%
주 2779
 
3.2%
동 2641
 
3.0%
소 2233
 
2.6%
제 2121
 
2.4%
원 1827
 
2.1%
전 1804
 
2.1%
충 1741
 
2.0%
공 1631
 
1.9%
Other values (375) 59991
68.8%
Uppercase Letter
ValueCountFrequency (%)
V 1741
47.6%
E 1740
47.6%
S 51
 
1.4%
T 30
 
0.8%
D 28
 
0.8%
N 21
 
0.6%
F 21
 
0.6%
H 21
 
0.6%
G 2
 
0.1%
A 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 983
49.1%
2 303
 
15.1%
9 154
 
7.7%
7 113
 
5.6%
4 97
 
4.8%
3 85
 
4.2%
6 82
 
4.1%
0 73
 
3.6%
5 64
 
3.2%
8 50
 
2.5%
Other Punctuation
ValueCountFrequency (%)
, 80
61.1%
/ 49
37.4%
. 2
 
1.5%
Open Punctuation
ValueCountFrequency (%)
( 8426
68.9%
[ 3797
31.1%
Close Punctuation
ValueCountFrequency (%)
) 8375
68.9%
] 3773
31.1%
Space Separator
ValueCountFrequency (%)
2243
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 87166
72.9%
Common 28798
 
24.1%
Latin 3657
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 5400
 
6.2%
버 4998
 
5.7%
주 2779
 
3.2%
동 2641
 
3.0%
소 2233
 
2.6%
제 2121
 
2.4%
원 1827
 
2.1%
전 1804
 
2.1%
충 1741
 
2.0%
공 1631
 
1.9%
Other values (375) 59991
68.8%
Common
ValueCountFrequency (%)
( 8426
29.3%
) 8375
29.1%
[ 3797
13.2%
] 3773
13.1%
2243
 
7.8%
1 983
 
3.4%
2 303
 
1.1%
9 154
 
0.5%
7 113
 
0.4%
4 97
 
0.3%
Other values (10) 534
 
1.9%
Latin
ValueCountFrequency (%)
V 1741
47.6%
E 1740
47.6%
S 51
 
1.4%
T 30
 
0.8%
D 28
 
0.8%
N 21
 
0.6%
F 21
 
0.6%
H 21
 
0.6%
G 2
 
0.1%
A 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 87166
72.9%
ASCII 32455
 
27.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 8426
26.0%
) 8375
25.8%
[ 3797
11.7%
] 3773
11.6%
2243
 
6.9%
V 1741
 
5.4%
E 1740
 
5.4%
1 983
 
3.0%
2 303
 
0.9%
9 154
 
0.5%
Other values (21) 920
 
2.8%
Hangul
ValueCountFrequency (%)
스 5400
 
6.2%
버 4998
 
5.7%
주 2779
 
3.2%
동 2641
 
3.0%
소 2233
 
2.6%
제 2121
 
2.4%
원 1827
 
2.1%
전 1804
 
2.1%
충 1741
 
2.0%
공 1631
 
1.9%
Other values (375) 59991
68.8%

사용자수
Real number (ℝ)

Distinct887
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148.1248
Minimum1
Maximum7607
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T05:01:53.967271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q126
median72
Q3164
95-th percentile530
Maximum7607
Range7606
Interquartile range (IQR)138

Descriptive statistics

Standard deviation284.23343
Coefficient of variation (CV)1.9188781
Kurtosis161.78031
Mean148.1248
Median Absolute Deviation (MAD)56
Skewness9.52494
Sum1481248
Variance80788.641
MonotonicityNot monotonic
2023-12-12T05:01:54.102190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 303
 
3.0%
2 128
 
1.3%
3 123
 
1.2%
4 104
 
1.0%
5 102
 
1.0%
10 101
 
1.0%
8 100
 
1.0%
7 99
 
1.0%
6 95
 
0.9%
13 94
 
0.9%
Other values (877) 8751
87.5%
ValueCountFrequency (%)
1 303
3.0%
2 128
1.3%
3 123
1.2%
4 104
 
1.0%
5 102
 
1.0%
6 95
 
0.9%
7 99
 
1.0%
8 100
 
1.0%
9 83
 
0.8%
10 101
 
1.0%
ValueCountFrequency (%)
7607 1
< 0.1%
7282 1
< 0.1%
6394 1
< 0.1%
4930 1
< 0.1%
4838 1
< 0.1%
4255 1
< 0.1%
4126 1
< 0.1%
3986 1
< 0.1%
3731 1
< 0.1%
3687 1
< 0.1%

Interactions

2023-12-12T05:01:52.953624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T05:01:53.077371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T05:01:53.144089image/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

날짜AP그룹명사용자수
328422020.03.17제주미니랜드79
149032020.02.04에코랜드테마파크163
384622020.03.31(버스)보건소[남]175
554872020.05.11(버스)오현중고등학교(화북초등학교방면)31
33682020.01.08(EV충전소)제주소방서 항만119센터27
744192020.06.26(버스)도호동[남]105
682802020.06.11용연구름다리25
780542020.06.29(버스)화순환승정류장(안덕농협)[북]262
266702020.03.03(버스)이도주공아파트[동]39
555892020.05.11(버스)화북남문[남]44
날짜AP그룹명사용자수
563262020.05.13(버스)월산마을[동]51
167872020.02.09만세공원25
741592020.06.25항파두리 항몽유적지2
783862020.06.29제주외국어학습센터132
553142020.05.10제주동문시장1203
104922020.01.25(버스)외도초등학교[북]276
259612020.03.01(EV충전소)김창열미술관6
41422020.01.10사라봉공원278
146312020.02.0442호공원77
576742020.05.16세화어린이공원36