Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory722.7 KiB
Average record size in memory74.0 B

Variable types

Numeric2
Text2
Boolean2
Categorical1
DateTime1

Dataset

Description제주관광정보시스템(VISITJEJU)의 콘텐츠 사진 콘텐츠로 일련번호, 관련콘텐츠, 대표이미지, 등록기기, 설명, 등록일시 등의 정보를 제공합니다.
Author제주관광공사
URLhttps://www.data.go.kr/data/15050000/fileData.do

Alerts

등록기기구분 is highly overall correlated with 사용여부High correlation
사용여부 is highly overall correlated with 등록기기구분High correlation
대표이미지여부 is highly imbalanced (63.3%)Imbalance
일련번호 has unique valuesUnique

Reproduction

Analysis started2024-03-23 05:29:27.717475
Analysis finished2024-03-23 05:29:32.554189
Duration4.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4959734 × 1012
Minimum6
Maximum2.0190228 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T05:29:32.779217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile4942.75
Q125064
median2.0190225 × 1012
Q32.0190225 × 1012
95-th percentile2.0190227 × 1012
Maximum2.0190228 × 1012
Range2.0190228 × 1012
Interquartile range (IQR)2.0190225 × 1012

Descriptive statistics

Standard deviation8.8447667 × 1011
Coefficient of variation (CV)0.59123824
Kurtosis-0.7892634
Mean1.4959734 × 1012
Median Absolute Deviation (MAD)191938.5
Skewness-1.1004062
Sum1.4959734 × 1016
Variance7.8229898 × 1023
MonotonicityNot monotonic
2024-03-23T05:29:33.243141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14976 1
 
< 0.1%
2019022717198 1
 
< 0.1%
2019022505162 1
 
< 0.1%
2019022507219 1
 
< 0.1%
1264 1
 
< 0.1%
3854 1
 
< 0.1%
2019022521954 1
 
< 0.1%
2019022716388 1
 
< 0.1%
2019022541048 1
 
< 0.1%
2018052308531 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
6 1
< 0.1%
15 1
< 0.1%
20 1
< 0.1%
25 1
< 0.1%
56 1
< 0.1%
79 1
< 0.1%
95 1
< 0.1%
99 1
< 0.1%
112 1
< 0.1%
119 1
< 0.1%
ValueCountFrequency (%)
2019022772190 1
< 0.1%
2019022772078 1
< 0.1%
2019022772075 1
< 0.1%
2019022771920 1
< 0.1%
2019022771827 1
< 0.1%
2019022771822 1
< 0.1%
2019022771802 1
< 0.1%
2019022771794 1
< 0.1%
2019022771781 1
< 0.1%
2019022771716 1
< 0.1%

관련콘텐츠명
Text

Distinct2945
Distinct (%)29.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-23T05:29:33.811119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length102
Median length95
Mean length9.2528
Min length1

Characters and Unicode

Total characters92528
Distinct characters1098
Distinct categories13 ?
Distinct scripts6 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1384 ?
Unique (%)13.8%

Sample

1st row쉬멍
2nd row2018년 8월 놓치지 말아야 할 제주 관광 10선 <‘탐’하고 싶은 제주, 탐험을 시작하라!>
3rd row미등록
4th row새별오름
5th row중문색달해수욕장
ValueCountFrequency (%)
미등록 778
 
4.2%
제주 553
 
3.0%
203
 
1.1%
우도(해양도립공원 166
 
0.9%
세계자연유산 134
 
0.7%
카멜리아힐 133
 
0.7%
성산일출봉(unesco 128
 
0.7%
사려니숲길 120
 
0.6%
제주의 104
 
0.6%
협재해수욕장 102
 
0.5%
Other values (4245) 16173
87.0%
2024-03-23T05:29:34.888964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8651
 
9.3%
제 2135
 
2.3%
주 1996
 
2.2%
해 1386
 
1.5%
리 1369
 
1.5%
스 1138
 
1.2%
도 1128
 
1.2%
이 1061
 
1.1%
미 1031
 
1.1%
산 928
 
1.0%
Other values (1088) 71705
77.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70776
76.5%
Space Separator 8651
 
9.3%
Lowercase Letter 4891
 
5.3%
Uppercase Letter 2030
 
2.2%
Decimal Number 1571
 
1.7%
Math Symbol 1450
 
1.6%
Other Punctuation 1156
 
1.2%
Close Punctuation 862
 
0.9%
Open Punctuation 861
 
0.9%
Final Punctuation 100
 
0.1%
Other values (3) 180
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 2135
 
3.0%
주 1996
 
2.8%
해 1386
 
2.0%
리 1369
 
1.9%
스 1138
 
1.6%
도 1128
 
1.6%
이 1061
 
1.5%
미 1031
 
1.5%
산 928
 
1.3%
지 910
 
1.3%
Other values (994) 57694
81.5%
Lowercase Letter
ValueCountFrequency (%)
n 563
11.5%
e 548
11.2%
a 474
 
9.7%
i 388
 
7.9%
o 376
 
7.7%
u 342
 
7.0%
t 291
 
5.9%
l 246
 
5.0%
r 242
 
4.9%
s 216
 
4.4%
Other values (17) 1205
24.6%
Uppercase Letter
ValueCountFrequency (%)
S 282
13.9%
C 217
10.7%
O 207
10.2%
N 205
10.1%
E 185
9.1%
U 153
 
7.5%
J 108
 
5.3%
H 97
 
4.8%
A 79
 
3.9%
T 71
 
3.5%
Other values (15) 426
21.0%
Other Punctuation
ValueCountFrequency (%)
? 371
32.1%
, 280
24.2%
! 201
17.4%
. 78
 
6.7%
& 78
 
6.7%
' 58
 
5.0%
/ 26
 
2.2%
: 20
 
1.7%
· 16
 
1.4%
@ 9
 
0.8%
Other values (4) 19
 
1.6%
Decimal Number
ValueCountFrequency (%)
1 464
29.5%
0 322
20.5%
2 312
19.9%
8 94
 
6.0%
3 92
 
5.9%
9 83
 
5.3%
7 65
 
4.1%
4 60
 
3.8%
5 51
 
3.2%
6 28
 
1.8%
Close Punctuation
ValueCountFrequency (%)
) 815
94.5%
] 34
 
3.9%
」 7
 
0.8%
〉 6
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 813
94.4%
[ 34
 
3.9%
〈 7
 
0.8%
「 7
 
0.8%
Math Symbol
ValueCountFrequency (%)
< 684
47.2%
> 683
47.1%
~ 83
 
5.7%
Final Punctuation
ValueCountFrequency (%)
’ 92
92.0%
” 8
 
8.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 75
90.4%
“ 8
 
9.6%
Space Separator
ValueCountFrequency (%)
8651
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69560
75.2%
Common 14831
 
16.0%
Latin 6921
 
7.5%
Han 744
 
0.8%
Hiragana 290
 
0.3%
Katakana 182
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 2135
 
3.1%
주 1996
 
2.9%
해 1386
 
2.0%
리 1369
 
2.0%
스 1138
 
1.6%
도 1128
 
1.6%
이 1061
 
1.5%
미 1031
 
1.5%
산 928
 
1.3%
지 910
 
1.3%
Other values (872) 56478
81.2%
Han
ValueCountFrequency (%)
州 69
 
9.3%
旅 46
 
6.2%
島 37
 
5.0%
的 31
 
4.2%
目 29
 
3.9%
食 28
 
3.8%
美 28
 
3.8%
行 24
 
3.2%
度 22
 
3.0%
口 22
 
3.0%
Other values (70) 408
54.8%
Latin
ValueCountFrequency (%)
n 563
 
8.1%
e 548
 
7.9%
a 474
 
6.8%
i 388
 
5.6%
o 376
 
5.4%
u 342
 
4.9%
t 291
 
4.2%
S 282
 
4.1%
l 246
 
3.6%
r 242
 
3.5%
Other values (42) 3169
45.8%
Common
ValueCountFrequency (%)
8651
58.3%
) 815
 
5.5%
( 813
 
5.5%
< 684
 
4.6%
> 683
 
4.6%
1 464
 
3.1%
? 371
 
2.5%
0 322
 
2.2%
2 312
 
2.1%
, 280
 
1.9%
Other values (32) 1436
 
9.7%
Hiragana
ValueCountFrequency (%)
な 26
 
9.0%
し 24
 
8.3%
む 23
 
7.9%
で 23
 
7.9%
と 22
 
7.6%
た 16
 
5.5%
る 15
 
5.2%
あ 14
 
4.8%
の 14
 
4.8%
に 13
 
4.5%
Other values (12) 100
34.5%
Katakana
ValueCountFrequency (%)
ッ 26
14.3%
ト 26
14.3%
メ 22
12.1%
ル 22
12.1%
グ 22
12.1%
ポ 14
7.7%
ス 14
7.7%
ホ 13
7.1%
ェ 3
 
1.6%
カ 3
 
1.6%
Other values (10) 17
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69560
75.2%
ASCII 21487
 
23.2%
CJK 740
 
0.8%
Hiragana 290
 
0.3%
Punctuation 183
 
0.2%
Katakana 182
 
0.2%
None 82
 
0.1%
CJK Compat Ideographs 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8651
40.3%
) 815
 
3.8%
( 813
 
3.8%
< 684
 
3.2%
> 683
 
3.2%
n 563
 
2.6%
e 548
 
2.6%
a 474
 
2.2%
1 464
 
2.2%
i 388
 
1.8%
Other values (72) 7404
34.5%
Hangul
ValueCountFrequency (%)
제 2135
 
3.1%
주 1996
 
2.9%
해 1386
 
2.0%
리 1369
 
2.0%
스 1138
 
1.6%
도 1128
 
1.6%
이 1061
 
1.5%
미 1031
 
1.5%
산 928
 
1.3%
지 910
 
1.3%
Other values (872) 56478
81.2%
Punctuation
ValueCountFrequency (%)
’ 92
50.3%
‘ 75
41.0%
” 8
 
4.4%
“ 8
 
4.4%
CJK
ValueCountFrequency (%)
州 69
 
9.3%
旅 46
 
6.2%
島 37
 
5.0%
的 31
 
4.2%
目 29
 
3.9%
食 28
 
3.8%
美 28
 
3.8%
行 24
 
3.2%
度 22
 
3.0%
口 22
 
3.0%
Other values (69) 404
54.6%
None
ValueCountFrequency (%)
đ 30
36.6%
· 16
19.5%
。 8
 
9.8%
〈 7
 
8.5%
「 7
 
8.5%
」 7
 
8.5%
〉 6
 
7.3%
、 1
 
1.2%
Katakana
ValueCountFrequency (%)
ッ 26
14.3%
ト 26
14.3%
メ 22
12.1%
ル 22
12.1%
グ 22
12.1%
ポ 14
7.7%
ス 14
7.7%
ホ 13
7.1%
ェ 3
 
1.6%
カ 3
 
1.6%
Other values (10) 17
9.3%
Hiragana
ValueCountFrequency (%)
な 26
 
9.0%
し 24
 
8.3%
む 23
 
7.9%
で 23
 
7.9%
と 22
 
7.6%
た 16
 
5.5%
る 15
 
5.2%
あ 14
 
4.8%
の 14
 
4.8%
に 13
 
4.5%
Other values (12) 100
34.5%
CJK Compat Ideographs
ValueCountFrequency (%)
陸 4
100.0%

대표이미지여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9297 
True
 
703
ValueCountFrequency (%)
False 9297
93.0%
True 703
 
7.0%
2024-03-23T05:29:35.263156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

등록기기구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5285 
모바일
3236 
PC
1479 

Length

Max length4
Median length4
Mean length3.3806
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPC
2nd row모바일
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 5285
52.8%
모바일 3236
32.4%
PC 1479
 
14.8%

Length

2024-03-23T05:29:35.579329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T05:29:35.951527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5285
52.8%
모바일 3236
32.4%
pc 1479
 
14.8%

설명
Text

Distinct3308
Distinct (%)33.1%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2024-03-23T05:29:36.589932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length112
Median length100
Mean length10.439144
Min length1

Characters and Unicode

Total characters104381
Distinct characters1072
Distinct categories12 ?
Distinct scripts6 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1799 ?
Unique (%)18.0%

Sample

1st row쉬멍
2nd row8월 놓치지 말아야 할 제주 관광 10선 <‘탐’하고 싶은 제주, 탐험을 시작하라!>
3rd row미등록
4th row새별오름
5th row중문색달해수욕장
ValueCountFrequency (%)
미등록 778
 
3.9%
제주 447
 
2.2%
jeju 263
 
1.3%
206
 
1.0%
우도(해양도립공원 163
 
0.8%
카멜리아힐 133
 
0.7%
세계자연유산 133
 
0.7%
성산일출봉(unesco 128
 
0.6%
사려니숲길 119
 
0.6%
oreum 116
 
0.6%
Other values (4806) 17486
87.6%
2024-03-23T05:29:37.817318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10069
 
9.6%
e 2527
 
2.4%
n 2187
 
2.1%
a 2115
 
2.0%
o 1964
 
1.9%
제 1867
 
1.8%
주 1784
 
1.7%
i 1358
 
1.3%
u 1315
 
1.3%
해 1297
 
1.2%
Other values (1062) 77898
74.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63258
60.6%
Lowercase Letter 20084
 
19.2%
Space Separator 10069
 
9.6%
Uppercase Letter 5348
 
5.1%
Math Symbol 1318
 
1.3%
Decimal Number 1230
 
1.2%
Other Punctuation 1174
 
1.1%
Close Punctuation 806
 
0.8%
Open Punctuation 804
 
0.8%
Final Punctuation 109
 
0.1%
Other values (2) 181
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 1867
 
3.0%
주 1784
 
2.8%
해 1297
 
2.1%
리 1213
 
1.9%
도 1030
 
1.6%
스 997
 
1.6%
미 993
 
1.6%
이 945
 
1.5%
산 881
 
1.4%
록 866
 
1.4%
Other values (971) 51385
81.2%
Lowercase Letter
ValueCountFrequency (%)
e 2527
12.6%
n 2187
10.9%
a 2115
10.5%
o 1964
9.8%
i 1358
 
6.8%
u 1315
 
6.5%
l 1044
 
5.2%
r 979
 
4.9%
t 946
 
4.7%
s 880
 
4.4%
Other values (17) 4769
23.7%
Uppercase Letter
ValueCountFrequency (%)
S 577
 
10.8%
C 494
 
9.2%
J 394
 
7.4%
O 387
 
7.2%
H 374
 
7.0%
E 285
 
5.3%
N 277
 
5.2%
M 249
 
4.7%
P 235
 
4.4%
T 204
 
3.8%
Other values (16) 1872
35.0%
Other Punctuation
ValueCountFrequency (%)
? 391
33.3%
, 267
22.7%
! 206
17.5%
& 82
 
7.0%
. 63
 
5.4%
' 53
 
4.5%
: 38
 
3.2%
· 35
 
3.0%
/ 19
 
1.6%
。 8
 
0.7%
Other values (3) 12
 
1.0%
Decimal Number
ValueCountFrequency (%)
1 382
31.1%
0 239
19.4%
2 207
16.8%
3 92
 
7.5%
7 67
 
5.4%
8 67
 
5.4%
4 59
 
4.8%
5 51
 
4.1%
9 37
 
3.0%
6 29
 
2.4%
Close Punctuation
ValueCountFrequency (%)
) 793
98.4%
」 7
 
0.9%
〉 6
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 791
98.4%
「 7
 
0.9%
〈 6
 
0.7%
Math Symbol
ValueCountFrequency (%)
< 622
47.2%
> 613
46.5%
~ 83
 
6.3%
Final Punctuation
ValueCountFrequency (%)
’ 101
92.7%
” 8
 
7.3%
Initial Punctuation
ValueCountFrequency (%)
‘ 75
90.4%
“ 8
 
9.6%
Space Separator
ValueCountFrequency (%)
10069
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 98
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62051
59.4%
Latin 25432
24.4%
Common 15691
 
15.0%
Han 735
 
0.7%
Hiragana 290
 
0.3%
Katakana 182
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 1867
 
3.0%
주 1784
 
2.9%
해 1297
 
2.1%
리 1213
 
2.0%
도 1030
 
1.7%
스 997
 
1.6%
미 993
 
1.6%
이 945
 
1.5%
산 881
 
1.4%
록 866
 
1.4%
Other values (852) 50178
80.9%
Han
ValueCountFrequency (%)
州 67
 
9.1%
旅 46
 
6.3%
島 37
 
5.0%
的 31
 
4.2%
目 29
 
3.9%
食 28
 
3.8%
美 28
 
3.8%
行 24
 
3.3%
口 22
 
3.0%
度 22
 
3.0%
Other values (67) 401
54.6%
Latin
ValueCountFrequency (%)
e 2527
 
9.9%
n 2187
 
8.6%
a 2115
 
8.3%
o 1964
 
7.7%
i 1358
 
5.3%
u 1315
 
5.2%
l 1044
 
4.1%
r 979
 
3.8%
t 946
 
3.7%
s 880
 
3.5%
Other values (43) 10117
39.8%
Common
ValueCountFrequency (%)
10069
64.2%
) 793
 
5.1%
( 791
 
5.0%
< 622
 
4.0%
> 613
 
3.9%
? 391
 
2.5%
1 382
 
2.4%
, 267
 
1.7%
0 239
 
1.5%
2 207
 
1.3%
Other values (28) 1317
 
8.4%
Hiragana
ValueCountFrequency (%)
な 26
 
9.0%
し 24
 
8.3%
で 23
 
7.9%
む 23
 
7.9%
と 22
 
7.6%
た 16
 
5.5%
る 15
 
5.2%
の 14
 
4.8%
あ 14
 
4.8%
わ 13
 
4.5%
Other values (12) 100
34.5%
Katakana
ValueCountFrequency (%)
ト 26
14.3%
ッ 26
14.3%
メ 22
12.1%
ル 22
12.1%
グ 22
12.1%
ポ 14
7.7%
ス 14
7.7%
ホ 13
7.1%
ェ 3
 
1.6%
カ 3
 
1.6%
Other values (10) 17
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62051
59.4%
ASCII 40831
39.1%
CJK 731
 
0.7%
Hiragana 290
 
0.3%
Punctuation 192
 
0.2%
Katakana 182
 
0.2%
None 100
 
0.1%
CJK Compat Ideographs 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10069
24.7%
e 2527
 
6.2%
n 2187
 
5.4%
a 2115
 
5.2%
o 1964
 
4.8%
i 1358
 
3.3%
u 1315
 
3.2%
l 1044
 
2.6%
r 979
 
2.4%
t 946
 
2.3%
Other values (69) 16327
40.0%
Hangul
ValueCountFrequency (%)
제 1867
 
3.0%
주 1784
 
2.9%
해 1297
 
2.1%
리 1213
 
2.0%
도 1030
 
1.7%
스 997
 
1.6%
미 993
 
1.6%
이 945
 
1.5%
산 881
 
1.4%
록 866
 
1.4%
Other values (852) 50178
80.9%
Punctuation
ValueCountFrequency (%)
’ 101
52.6%
‘ 75
39.1%
“ 8
 
4.2%
” 8
 
4.2%
CJK
ValueCountFrequency (%)
州 67
 
9.2%
旅 46
 
6.3%
島 37
 
5.1%
的 31
 
4.2%
目 29
 
4.0%
食 28
 
3.8%
美 28
 
3.8%
行 24
 
3.3%
口 22
 
3.0%
度 22
 
3.0%
Other values (66) 397
54.3%
None
ValueCountFrequency (%)
· 35
35.0%
đ 30
30.0%
。 8
 
8.0%
「 7
 
7.0%
」 7
 
7.0%
〉 6
 
6.0%
〈 6
 
6.0%
、 1
 
1.0%
Katakana
ValueCountFrequency (%)
ト 26
14.3%
ッ 26
14.3%
メ 22
12.1%
ル 22
12.1%
グ 22
12.1%
ポ 14
7.7%
ス 14
7.7%
ホ 13
7.1%
ェ 3
 
1.6%
カ 3
 
1.6%
Other values (10) 17
9.3%
Hiragana
ValueCountFrequency (%)
な 26
 
9.0%
し 24
 
8.3%
で 23
 
7.9%
む 23
 
7.9%
と 22
 
7.6%
た 16
 
5.5%
る 15
 
5.2%
の 14
 
4.8%
あ 14
 
4.8%
わ 13
 
4.5%
Other values (12) 100
34.5%
CJK Compat Ideographs
ValueCountFrequency (%)
陸 4
100.0%

정렬순서
Real number (ℝ)

Distinct117
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.9036
Minimum1
Maximum280
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T05:29:38.212912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34
95-th percentile21
Maximum280
Range279
Interquartile range (IQR)3

Descriptive statistics

Standard deviation12.838715
Coefficient of variation (CV)2.6182222
Kurtosis120.67935
Mean4.9036
Median Absolute Deviation (MAD)0
Skewness8.8865453
Sum49036
Variance164.83259
MonotonicityNot monotonic
2024-03-23T05:29:38.785929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 6083
60.8%
2 659
 
6.6%
3 544
 
5.4%
4 517
 
5.2%
5 500
 
5.0%
6 250
 
2.5%
7 177
 
1.8%
8 131
 
1.3%
9 107
 
1.1%
10 90
 
0.9%
Other values (107) 942
 
9.4%
ValueCountFrequency (%)
1 6083
60.8%
2 659
 
6.6%
3 544
 
5.4%
4 517
 
5.2%
5 500
 
5.0%
6 250
 
2.5%
7 177
 
1.8%
8 131
 
1.3%
9 107
 
1.1%
10 90
 
0.9%
ValueCountFrequency (%)
280 1
< 0.1%
274 1
< 0.1%
237 1
< 0.1%
227 1
< 0.1%
224 1
< 0.1%
223 1
< 0.1%
219 1
< 0.1%
212 1
< 0.1%
186 1
< 0.1%
183 1
< 0.1%

등록일시
Date

Distinct411
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-04-30 00:00:00
Maximum2023-09-01 00:00:00
2024-03-23T05:29:39.153077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:29:39.540077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사용여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
8699 
False
1301 
ValueCountFrequency (%)
True 8699
87.0%
False 1301
 
13.0%
2024-03-23T05:29:39.884922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2024-03-23T05:29:31.170700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:29:30.502843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:29:31.490939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:29:30.847405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T05:29:40.036669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호대표이미지여부등록기기구분정렬순서사용여부
일련번호1.0000.4060.6330.1420.567
대표이미지여부0.4061.0000.1850.0000.165
등록기기구분0.6330.1851.0000.2000.737
정렬순서0.1420.0000.2001.0000.060
사용여부0.5670.1650.7370.0601.000
2024-03-23T05:29:40.265016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대표이미지여부등록기기구분사용여부
대표이미지여부1.0000.1180.105
등록기기구분0.1181.0000.527
사용여부0.1050.5271.000
2024-03-23T05:29:40.531846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호정렬순서대표이미지여부등록기기구분사용여부
일련번호1.000-0.2520.2660.4370.384
정렬순서-0.2521.0000.0000.1530.046
대표이미지여부0.2660.0001.0000.1180.105
등록기기구분0.4370.1530.1181.0000.527
사용여부0.3840.0460.1050.5271.000

Missing values

2024-03-23T05:29:31.952449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T05:29:32.388398image/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

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857922019022704620제11회 국제e-모빌리티엑스포n모바일제6회 국제전기자동차엑스포62019-03-27y
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