Overview

Dataset statistics

Number of variables9
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory820.3 KiB
Average record size in memory84.0 B

Variable types

Numeric4
Categorical2
Text3

Dataset

Description경상남도 밀양시 후기글기준 키워드에 대한 자료로, 관광상품번호, 관광상품명, 후기글주소, 키워드, 언급량, 생성일에 대한 정보를 제공합니다.
Author경상남도 밀양시
URLhttps://www.data.go.kr/data/15111093/fileData.do

Alerts

생성일 has constant value ""Constant
관광상품번호(NameID) is highly overall correlated with 관광상품분류High correlation
관광상품분류 is highly overall correlated with 관광상품번호(NameID)High correlation
번호(ID) has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:17:23.279832
Analysis finished2023-12-12 14:17:26.747568
Duration3.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호(ID)
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7044664.3
Minimum7000009
Maximum7089758
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T23:17:26.840829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7000009
5-th percentile7004522.7
Q17022153.2
median7044405.5
Q37067318.8
95-th percentile7085070.5
Maximum7089758
Range89749
Interquartile range (IQR)45165.5

Descriptive statistics

Standard deviation25854.048
Coefficient of variation (CV)0.0036700184
Kurtosis-1.1978261
Mean7044664.3
Median Absolute Deviation (MAD)22541
Skewness0.015038934
Sum7.0446643 × 1010
Variance6.6843179 × 108
MonotonicityNot monotonic
2023-12-12T23:17:27.023128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7068866 1
 
< 0.1%
7065296 1
 
< 0.1%
7029948 1
 
< 0.1%
7001497 1
 
< 0.1%
7077409 1
 
< 0.1%
7077670 1
 
< 0.1%
7064747 1
 
< 0.1%
7022253 1
 
< 0.1%
7009360 1
 
< 0.1%
7047955 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
7000009 1
< 0.1%
7000046 1
< 0.1%
7000047 1
< 0.1%
7000054 1
< 0.1%
7000076 1
< 0.1%
7000077 1
< 0.1%
7000079 1
< 0.1%
7000086 1
< 0.1%
7000089 1
< 0.1%
7000091 1
< 0.1%
ValueCountFrequency (%)
7089758 1
< 0.1%
7089727 1
< 0.1%
7089724 1
< 0.1%
7089723 1
< 0.1%
7089720 1
< 0.1%
7089696 1
< 0.1%
7089685 1
< 0.1%
7089663 1
< 0.1%
7089657 1
< 0.1%
7089656 1
< 0.1%

후기글번호(ReviewID)
Real number (ℝ)

Distinct3431
Distinct (%)34.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6003600.8
Minimum6000001
Maximum6007100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T23:17:27.223512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6000001
5-th percentile6000308
Q16001879
median6003749
Q36005290
95-th percentile6006774
Maximum6007100
Range7099
Interquartile range (IQR)3411

Descriptive statistics

Standard deviation2024.8889
Coefficient of variation (CV)0.00033727907
Kurtosis-1.1170586
Mean6003600.8
Median Absolute Deviation (MAD)1707
Skewness-0.060311243
Sum6.0036008 × 1010
Variance4100174.9
MonotonicityNot monotonic
2023-12-12T23:17:27.419250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6000357 9
 
0.1%
6006655 8
 
0.1%
6001391 8
 
0.1%
6005109 8
 
0.1%
6002734 8
 
0.1%
6006964 8
 
0.1%
6003810 8
 
0.1%
6000371 8
 
0.1%
6006152 8
 
0.1%
6001363 7
 
0.1%
Other values (3421) 9920
99.2%
ValueCountFrequency (%)
6000001 3
< 0.1%
6000002 5
0.1%
6000003 4
< 0.1%
6000004 1
 
< 0.1%
6000005 3
< 0.1%
6000009 5
0.1%
6000010 2
 
< 0.1%
6000011 2
 
< 0.1%
6000012 5
0.1%
6000015 3
< 0.1%
ValueCountFrequency (%)
6007100 2
< 0.1%
6007099 1
 
< 0.1%
6007096 3
< 0.1%
6007091 4
< 0.1%
6007090 3
< 0.1%
6007087 1
 
< 0.1%
6007085 1
 
< 0.1%
6007082 1
 
< 0.1%
6007080 2
< 0.1%
6007079 4
< 0.1%

관광상품번호(NameID)
Real number (ℝ)

HIGH CORRELATION 

Distinct371
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2910965.1
Minimum1000001
Maximum4001469
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T23:17:27.618571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000001
5-th percentile1000022
Q13000016
median3000136
Q34000263
95-th percentile4001151
Maximum4001469
Range3001468
Interquartile range (IQR)1000247

Descriptive statistics

Standard deviation1064456.1
Coefficient of variation (CV)0.36567121
Kurtosis-0.61168694
Mean2910965.1
Median Absolute Deviation (MAD)1000091
Skewness-0.78132049
Sum2.9109651 × 1010
Variance1.1330668 × 1012
MonotonicityNot monotonic
2023-12-12T23:17:27.780704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3000144 282
 
2.8%
4000605 271
 
2.7%
4000353 264
 
2.6%
3000083 218
 
2.2%
3000117 180
 
1.8%
1000029 178
 
1.8%
3000093 175
 
1.8%
3000091 165
 
1.7%
4000786 163
 
1.6%
3000101 155
 
1.6%
Other values (361) 7949
79.5%
ValueCountFrequency (%)
1000001 4
 
< 0.1%
1000005 145
1.5%
1000006 5
 
0.1%
1000010 2
 
< 0.1%
1000011 10
 
0.1%
1000012 19
 
0.2%
1000013 6
 
0.1%
1000014 17
 
0.2%
1000015 66
0.7%
1000016 145
1.5%
ValueCountFrequency (%)
4001469 39
 
0.4%
4001466 16
 
0.2%
4001462 113
1.1%
4001461 5
 
0.1%
4001442 3
 
< 0.1%
4001436 3
 
< 0.1%
4001433 3
 
< 0.1%
4001421 23
 
0.2%
4001420 2
 
< 0.1%
4001405 4
 
< 0.1%

관광상품분류
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
숙박업소
4379 
일반음식점
3232 
관광지
1928 
문화축제
 
365
모범음식점
 
96

Length

Max length5
Median length4
Mean length4.14
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반음식점
2nd row숙박업소
3rd row숙박업소
4th row관광지
5th row숙박업소

Common Values

ValueCountFrequency (%)
숙박업소 4379
43.8%
일반음식점 3232
32.3%
관광지 1928
19.3%
문화축제 365
 
3.6%
모범음식점 96
 
1.0%

Length

2023-12-12T23:17:27.973174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:17:28.095489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
숙박업소 4379
43.8%
일반음식점 3232
32.3%
관광지 1928
19.3%
문화축제 365
 
3.6%
모범음식점 96
 
1.0%

관광상품명
Text

Distinct371
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T23:17:28.363558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length6.4257
Min length1

Characters and Unicode

Total characters64257
Distinct characters421
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

Unique28 ?
Unique (%)0.3%

Sample

1st row불티족발보쌈
2nd row밀양펜션
3rd row도래재별빛마을캠핑장
4th row금시당
5th row구천계곡 캠핑장
ValueCountFrequency (%)
키즈풀빌라 287
 
2.5%
밀양로그펜션 282
 
2.5%
1919봄 271
 
2.4%
단장면커피로스터스 264
 
2.3%
밀양아리랑오토캠핑장 218
 
1.9%
물안개 180
 
1.6%
오토캠핑장 180
 
1.6%
밀양댐생태공원 178
 
1.6%
미르캠핑장 175
 
1.5%
서당골오토캠핑장 165
 
1.5%
Other values (398) 9151
80.6%
2023-12-12T23:17:28.836306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
밀 3176
 
4.9%
양 2886
 
4.5%
장 2276
 
3.5%
핑 1656
 
2.6%
캠 1622
 
2.5%
리 1531
 
2.4%
1351
 
2.1%
아 1264
 
2.0%
션 990
 
1.5%
펜 941
 
1.5%
Other values (411) 46564
72.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60016
93.4%
Decimal Number 2196
 
3.4%
Space Separator 1351
 
2.1%
Other Punctuation 240
 
0.4%
Uppercase Letter 197
 
0.3%
Lowercase Letter 155
 
0.2%
Close Punctuation 50
 
0.1%
Open Punctuation 50
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
밀 3176
 
5.3%
양 2886
 
4.8%
장 2276
 
3.8%
핑 1656
 
2.8%
캠 1622
 
2.7%
리 1531
 
2.6%
아 1264
 
2.1%
션 990
 
1.6%
펜 941
 
1.6%
토 938
 
1.6%
Other values (369) 42736
71.2%
Uppercase Letter
ValueCountFrequency (%)
D 54
27.4%
C 25
12.7%
A 22
11.2%
P 21
 
10.7%
I 21
 
10.7%
V 21
 
10.7%
R 13
 
6.6%
G 6
 
3.0%
J 5
 
2.5%
S 5
 
2.5%
Other values (2) 4
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
o 41
26.5%
g 29
18.7%
f 19
12.3%
e 19
12.3%
u 14
 
9.0%
a 7
 
4.5%
s 6
 
3.9%
t 6
 
3.9%
m 4
 
2.6%
i 4
 
2.6%
Other values (2) 6
 
3.9%
Decimal Number
ValueCountFrequency (%)
9 788
35.9%
1 769
35.0%
3 176
 
8.0%
5 155
 
7.1%
8 153
 
7.0%
4 89
 
4.1%
2 38
 
1.7%
7 20
 
0.9%
0 5
 
0.2%
6 3
 
0.1%
Other Punctuation
ValueCountFrequency (%)
/ 122
50.8%
& 107
44.6%
: 10
 
4.2%
, 1
 
0.4%
Space Separator
ValueCountFrequency (%)
1351
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60016
93.4%
Common 3889
 
6.1%
Latin 352
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
밀 3176
 
5.3%
양 2886
 
4.8%
장 2276
 
3.8%
핑 1656
 
2.8%
캠 1622
 
2.7%
리 1531
 
2.6%
아 1264
 
2.1%
션 990
 
1.6%
펜 941
 
1.6%
토 938
 
1.6%
Other values (369) 42736
71.2%
Latin
ValueCountFrequency (%)
D 54
15.3%
o 41
11.6%
g 29
 
8.2%
C 25
 
7.1%
A 22
 
6.2%
P 21
 
6.0%
I 21
 
6.0%
V 21
 
6.0%
f 19
 
5.4%
e 19
 
5.4%
Other values (14) 80
22.7%
Common
ValueCountFrequency (%)
1351
34.7%
9 788
20.3%
1 769
19.8%
3 176
 
4.5%
5 155
 
4.0%
8 153
 
3.9%
/ 122
 
3.1%
& 107
 
2.8%
4 89
 
2.3%
) 50
 
1.3%
Other values (8) 129
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60016
93.4%
ASCII 4241
 
6.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
밀 3176
 
5.3%
양 2886
 
4.8%
장 2276
 
3.8%
핑 1656
 
2.8%
캠 1622
 
2.7%
리 1531
 
2.6%
아 1264
 
2.1%
션 990
 
1.6%
펜 941
 
1.6%
토 938
 
1.6%
Other values (369) 42736
71.2%
ASCII
ValueCountFrequency (%)
1351
31.9%
9 788
18.6%
1 769
18.1%
3 176
 
4.1%
5 155
 
3.7%
8 153
 
3.6%
/ 122
 
2.9%
& 107
 
2.5%
4 89
 
2.1%
D 54
 
1.3%
Other values (32) 477
 
11.2%

후기글주소
Text

Distinct3431
Distinct (%)34.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T23:17:29.124148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length54
Mean length43.9047
Min length19

Characters and Unicode

Total characters439047
Distinct characters47
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique627 ?
Unique (%)6.3%

Sample

1st rowhttps://blog.naver.com/cyj_920/222791984929
2nd rowhttps:/blog.naver.com/audery22/222774313997
3rd rowhttps:/blog.naver.com/dlwbsz/222716885247
4th rowhttps://blog.naver.com/yoursyours/222568832515
5th rowhttps:/blog.naver.com/bonniegets/222686836428
ValueCountFrequency (%)
https://blog.naver.com/hlbyeon/222747040195 9
 
0.1%
https://blog.naver.com/hyun76lee/222812350917 8
 
0.1%
https://blog.naver.com/smallcoco/222683721416 8
 
0.1%
https://blog.naver.com/llll5097/222868642466 8
 
0.1%
https:/blog.naver.com/smkim5455/222703214838 8
 
0.1%
https://blog.naver.com/lee2mina77/222692035934 8
 
0.1%
https://blog.naver.com/dreammacao/222846623873 8
 
0.1%
https://blog.naver.com/wkrsksek11/222859750725 8
 
0.1%
https://blog.naver.com/gyeongasarang/221566737817 8
 
0.1%
https://blog.naver.com/lily79486/221260222820 7
 
0.1%
Other values (3421) 9920
99.2%
2023-12-12T23:17:29.636981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 38975
 
8.9%
/ 38104
 
8.7%
o 24567
 
5.6%
t 22648
 
5.2%
. 19989
 
4.6%
a 14003
 
3.2%
n 14002
 
3.2%
s 13806
 
3.1%
e 13564
 
3.1%
l 13159
 
3.0%
Other values (37) 226230
51.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 229961
52.4%
Decimal Number 139876
31.9%
Other Punctuation 68101
 
15.5%
Connector Punctuation 917
 
0.2%
Dash Punctuation 187
 
< 0.1%
Uppercase Letter 3
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 24567
 
10.7%
t 22648
 
9.8%
a 14003
 
6.1%
n 14002
 
6.1%
s 13806
 
6.0%
e 13564
 
5.9%
l 13159
 
5.7%
h 12831
 
5.6%
m 12525
 
5.4%
g 12126
 
5.3%
Other values (16) 76730
33.4%
Decimal Number
ValueCountFrequency (%)
2 38975
27.9%
1 12754
 
9.1%
7 12582
 
9.0%
8 12460
 
8.9%
0 11899
 
8.5%
6 11207
 
8.0%
5 10196
 
7.3%
4 10190
 
7.3%
3 10082
 
7.2%
9 9531
 
6.8%
Other Punctuation
ValueCountFrequency (%)
/ 38104
56.0%
. 19989
29.4%
: 10000
 
14.7%
@ 6
 
< 0.1%
? 1
 
< 0.1%
& 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N 2
66.7%
V 1
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 917
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 187
100.0%
Math Symbol
ValueCountFrequency (%)
= 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 229964
52.4%
Common 209083
47.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 24567
 
10.7%
t 22648
 
9.8%
a 14003
 
6.1%
n 14002
 
6.1%
s 13806
 
6.0%
e 13564
 
5.9%
l 13159
 
5.7%
h 12831
 
5.6%
m 12525
 
5.4%
g 12126
 
5.3%
Other values (18) 76733
33.4%
Common
ValueCountFrequency (%)
2 38975
18.6%
/ 38104
18.2%
. 19989
9.6%
1 12754
 
6.1%
7 12582
 
6.0%
8 12460
 
6.0%
0 11899
 
5.7%
6 11207
 
5.4%
5 10196
 
4.9%
4 10190
 
4.9%
Other values (9) 30727
14.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 439047
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 38975
 
8.9%
/ 38104
 
8.7%
o 24567
 
5.6%
t 22648
 
5.2%
. 19989
 
4.6%
a 14003
 
3.2%
n 14002
 
3.2%
s 13806
 
3.1%
e 13564
 
3.1%
l 13159
 
3.0%
Other values (37) 226230
51.5%

키워드
Text

Distinct2595
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T23:17:30.096023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length2
Mean length2.3534
Min length2

Characters and Unicode

Total characters23534
Distinct characters727
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

Unique1345 ?
Unique (%)13.5%

Sample

1st row간장
2nd row조명
3rd row캠핑
4th row구석
5th row매점
ValueCountFrequency (%)
카페 110
 
1.1%
사진 103
 
1.0%
아이 92
 
0.9%
예약 91
 
0.9%
화장실 89
 
0.9%
자리 88
 
0.9%
추천 84
 
0.8%
캠핑장 83
 
0.8%
주차 82
 
0.8%
여행 79
 
0.8%
Other values (2585) 9101
91.0%
2023-12-12T23:17:30.725976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 690
 
2.9%
장 601
 
2.6%
리 452
 
1.9%
기 408
 
1.7%
사 351
 
1.5%
자 302
 
1.3%
수 290
 
1.2%
아 281
 
1.2%
주 239
 
1.0%
실 237
 
1.0%
Other values (717) 19683
83.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23491
99.8%
Lowercase Letter 37
 
0.2%
Decimal Number 4
 
< 0.1%
Space Separator 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 690
 
2.9%
장 601
 
2.6%
리 452
 
1.9%
기 408
 
1.7%
사 351
 
1.5%
자 302
 
1.3%
수 290
 
1.2%
아 281
 
1.2%
주 239
 
1.0%
실 237
 
1.0%
Other values (704) 19640
83.6%
Lowercase Letter
ValueCountFrequency (%)
t 7
18.9%
v 6
16.2%
f 5
13.5%
e 5
13.5%
c 5
13.5%
o 4
10.8%
m 3
8.1%
a 1
 
2.7%
j 1
 
2.7%
Decimal Number
ValueCountFrequency (%)
9 2
50.0%
1 1
25.0%
5 1
25.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23491
99.8%
Latin 37
 
0.2%
Common 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 690
 
2.9%
장 601
 
2.6%
리 452
 
1.9%
기 408
 
1.7%
사 351
 
1.5%
자 302
 
1.3%
수 290
 
1.2%
아 281
 
1.2%
주 239
 
1.0%
실 237
 
1.0%
Other values (704) 19640
83.6%
Latin
ValueCountFrequency (%)
t 7
18.9%
v 6
16.2%
f 5
13.5%
e 5
13.5%
c 5
13.5%
o 4
10.8%
m 3
8.1%
a 1
 
2.7%
j 1
 
2.7%
Common
ValueCountFrequency (%)
9 2
33.3%
2
33.3%
1 1
16.7%
5 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23491
99.8%
ASCII 43
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 690
 
2.9%
장 601
 
2.6%
리 452
 
1.9%
기 408
 
1.7%
사 351
 
1.5%
자 302
 
1.3%
수 290
 
1.2%
아 281
 
1.2%
주 239
 
1.0%
실 237
 
1.0%
Other values (704) 19640
83.6%
ASCII
ValueCountFrequency (%)
t 7
16.3%
v 6
14.0%
f 5
11.6%
e 5
11.6%
c 5
11.6%
o 4
9.3%
m 3
7.0%
9 2
 
4.7%
2
 
4.7%
a 1
 
2.3%
Other values (3) 3
7.0%

언급량
Real number (ℝ)

Distinct39
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9525
Minimum1
Maximum72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T23:17:30.906339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile8
Maximum72
Range71
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.1163143
Coefficient of variation (CV)1.0554833
Kurtosis60.518994
Mean2.9525
Median Absolute Deviation (MAD)1
Skewness5.4163126
Sum29525
Variance9.7114149
MonotonicityNot monotonic
2023-12-12T23:17:31.069876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
1 3085
30.9%
2 3076
30.8%
3 1568
15.7%
4 792
 
7.9%
5 440
 
4.4%
6 244
 
2.4%
7 186
 
1.9%
8 131
 
1.3%
9 104
 
1.0%
10 72
 
0.7%
Other values (29) 302
 
3.0%
ValueCountFrequency (%)
1 3085
30.9%
2 3076
30.8%
3 1568
15.7%
4 792
 
7.9%
5 440
 
4.4%
6 244
 
2.4%
7 186
 
1.9%
8 131
 
1.3%
9 104
 
1.0%
10 72
 
0.7%
ValueCountFrequency (%)
72 1
< 0.1%
61 1
< 0.1%
50 1
< 0.1%
41 1
< 0.1%
39 1
< 0.1%
35 2
< 0.1%
34 1
< 0.1%
33 1
< 0.1%
32 1
< 0.1%
31 2
< 0.1%

생성일
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2022-11-21
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-11-21
2nd row2022-11-21
3rd row2022-11-21
4th row2022-11-21
5th row2022-11-21

Common Values

ValueCountFrequency (%)
2022-11-21 10000
100.0%

Length

2023-12-12T23:17:31.233847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:17:31.335288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-11-21 10000
100.0%

Interactions

2023-12-12T23:17:25.998340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:17:24.273387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:17:24.924336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:17:25.445907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:17:26.103502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:17:24.354179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:17:25.026856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:17:25.562450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:17:26.234947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:17:24.451080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:17:25.181678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:17:25.752079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:17:26.338106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:17:24.535162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:17:25.293104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:17:25.881575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:17:31.390932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호(ID)후기글번호(ReviewID)관광상품번호(NameID)관광상품분류언급량
번호(ID)1.0000.4480.4430.5330.029
후기글번호(ReviewID)0.4481.0000.6100.6970.025
관광상품번호(NameID)0.4430.6101.0001.0000.000
관광상품분류0.5330.6971.0001.0000.000
언급량0.0290.0250.0000.0001.000
2023-12-12T23:17:31.496476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호(ID)후기글번호(ReviewID)관광상품번호(NameID)언급량관광상품분류
번호(ID)1.000-0.014-0.148-0.0010.249
후기글번호(ReviewID)-0.0141.0000.088-0.0140.362
관광상품번호(NameID)-0.1480.0881.000-0.0341.000
언급량-0.001-0.014-0.0341.0000.000
관광상품분류0.2490.3621.0000.0001.000

Missing values

2023-12-12T23:17:26.488392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:17:26.670828image/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

번호(ID)후기글번호(ReviewID)관광상품번호(NameID)관광상품분류관광상품명후기글주소키워드언급량생성일
68865706886660014824001118일반음식점불티족발보쌈https://blog.naver.com/cyj_920/222791984929간장22022-11-21
63096706309760043213000016숙박업소밀양펜션https:/blog.naver.com/audery22/222774313997조명22022-11-21
24171702417260041383000116숙박업소도래재별빛마을캠핑장https:/blog.naver.com/dlwbsz/222716885247캠핑62022-11-21
10586701058760004831000016관광지금시당https://blog.naver.com/yoursyours/222568832515구석22022-11-21
7573700757460038343000095숙박업소구천계곡 캠핑장https:/blog.naver.com/bonniegets/222686836428매점32022-11-21
72913707291460013252000015문화축제산외면 해바라기 축제https://blog.naver.com/codenuit/222129038533엄마82022-11-21
480700048160027474000605일반음식점1919봄https://blog.naver.com/jisoon1039/222731426315여행22022-11-21
56307705630860017711000034관광지밀양아리랑아트센터https://blog.naver.com/cookmom9628/222805959853아리나32022-11-21
5236700523760031291000012관광지경남밀양관아https://blog.naver.com/id6602/222773627611관리42022-11-21
63980706398160017921000088관광지밀양한천테마파크https://blog.naver.com/mylove6055/222752787243주차12022-11-21
번호(ID)후기글번호(ReviewID)관광상품번호(NameID)관광상품분류관광상품명후기글주소키워드언급량생성일
63179706318060046353000016숙박업소밀양펜션https://blog.naver.com/mko0506/222577353381그릴12022-11-21
48061704806260061021000030관광지밀양독립운동기념관https://blog.naver.com/ya5ng_2/222849195133독립운동가22022-11-21
60660706066160015101000036관광지밀양연꽃단지https://blog.naver.com/id6602/222804171212쉼터22022-11-21
62262706226360015521000098관광지밀양컨트리클럽https://blog.naver.com/bonakorea81/222734240178근교52022-11-21
75689707569060005541000052관광지삼문수변공원https://blog.naver.com/clee7267/222295456241밀양강22022-11-21
17436701743760034574000353일반음식점단장면커피로스터스https://blog.naver.com/robel1127/222695257434타일12022-11-21
37994703799560037933000117숙박업소물안개 오토캠핑장https:/blog.naver.com/wndi980/222731842737사이트102022-11-21
73995707399660012822000006문화축제삼랑진딸기축제https://blog.naver.com/purplishk/222707091120풍선12022-11-21
13857701385860068403000114숙박업소까투리오토캠핑장https://blog.naver.com/kyo2270/222877244595개수대32022-11-21
42219704222060009723000208숙박업소밀양 참좋은펜션https://blog.naver.com/qhrhvk33/222605667738예약42022-11-21