Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells10
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory634.8 KiB
Average record size in memory65.0 B

Variable types

Numeric1
Text4
DateTime1
Categorical1

Dataset

Description경상남도 진주시 관광상품 후기 게시물을 바탕으로 생성된 관광상품별 키워드 해시태그 및 게시물 url에 대한 데이터를 제공합니다.
Author경상남도 진주시
URLhttps://www.data.go.kr/data/15097739/fileData.do

Alerts

번호 is highly overall correlated with 관광상품분류High correlation
관광상품분류 is highly overall correlated with 번호High correlation
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:00:39.813199
Analysis finished2023-12-12 08:00:41.836174
Duration2.02 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6043124.3
Minimum6000004
Maximum6085803
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T17:00:41.936979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6000004
5-th percentile6004396.3
Q16021359.8
median6043093.5
Q36065077.8
95-th percentile6081383.3
Maximum6085803
Range85799
Interquartile range (IQR)43718

Descriptive statistics

Standard deviation24934.865
Coefficient of variation (CV)0.0041261546
Kurtosis-1.2230923
Mean6043124.3
Median Absolute Deviation (MAD)21876.5
Skewness-0.0054516747
Sum6.0431243 × 1010
Variance6.2174751 × 108
MonotonicityNot monotonic
2023-12-12T17:00:42.113967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6013745 1
 
< 0.1%
6017109 1
 
< 0.1%
6012221 1
 
< 0.1%
6076869 1
 
< 0.1%
6011844 1
 
< 0.1%
6052920 1
 
< 0.1%
6059749 1
 
< 0.1%
6039551 1
 
< 0.1%
6034446 1
 
< 0.1%
6070981 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
6000004 1
< 0.1%
6000013 1
< 0.1%
6000019 1
< 0.1%
6000024 1
< 0.1%
6000028 1
< 0.1%
6000048 1
< 0.1%
6000050 1
< 0.1%
6000076 1
< 0.1%
6000081 1
< 0.1%
6000104 1
< 0.1%
ValueCountFrequency (%)
6085803 1
< 0.1%
6085794 1
< 0.1%
6085791 1
< 0.1%
6085783 1
< 0.1%
6085777 1
< 0.1%
6085764 1
< 0.1%
6085758 1
< 0.1%
6085757 1
< 0.1%
6085748 1
< 0.1%
6085746 1
< 0.1%

홈페이지주소(URL)
Text

Distinct3648
Distinct (%)36.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T17:00:42.400462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length635
Median length323
Mean length56.0239
Min length26

Characters and Unicode

Total characters560239
Distinct characters71
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

Unique968 ?
Unique (%)9.7%

Sample

1st rowhttps://blog.naver.com/ji0865?Redirect=Log&logNo=222099434312
2nd rowhttps://www.instagram.com/p/CQAETGQh-P4/
3rd rowhttps://recelo.tistory.com/264
4th rowhttps://blog.naver.com/japoung?Redirect=Log&logNo=222116360245
5th rowhttps://blog.naver.com/ciy981118?Redirect=Log&logNo=222310093393
ValueCountFrequency (%)
https://blog.naver.com/mh21111?redirect=log&logno=221474791788 19
 
0.2%
https://blog.naver.com/ellyura?redirect=log&logno=221706752476 14
 
0.1%
https://blog.naver.com/pearl286?redirect=log&logno=221556451580 13
 
0.1%
https://blog.naver.com/swimwellwell?redirect=log&logno=222284312209 13
 
0.1%
https://blog.naver.com/ireva234?redirect=log&logno=222131043061 12
 
0.1%
https://blog.naver.com/nadongyup?redirect=log&logno=222388508046 12
 
0.1%
https://blog.naver.com/kang3862?redirect=log&logno=222357714474 12
 
0.1%
https://blog.naver.com/soyoung8365?redirect=log&logno=221534553417 12
 
0.1%
https://blog.naver.com/hsj1191?redirect=log&logno=222293699251 11
 
0.1%
https://blog.naver.com/wansojun?redirect=log&logno=222319289001 11
 
0.1%
Other values (3638) 9871
98.7%
2023-12-12T17:00:42.774372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 41562
 
7.4%
t 33956
 
6.1%
/ 32997
 
5.9%
2 25746
 
4.6%
e 24918
 
4.4%
g 22818
 
4.1%
. 20002
 
3.6%
c 18521
 
3.3%
r 18012
 
3.2%
l 16880
 
3.0%
Other values (61) 304827
54.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 321160
57.3%
Decimal Number 104341
 
18.6%
Other Punctuation 82353
 
14.7%
Uppercase Letter 36976
 
6.6%
Math Symbol 13525
 
2.4%
Dash Punctuation 1093
 
0.2%
Connector Punctuation 791
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 41562
12.9%
t 33956
 
10.6%
e 24918
 
7.8%
g 22818
 
7.1%
c 18521
 
5.8%
r 18012
 
5.6%
l 16880
 
5.3%
s 15641
 
4.9%
a 14331
 
4.5%
m 13771
 
4.3%
Other values (16) 100750
31.4%
Uppercase Letter
ValueCountFrequency (%)
R 6866
18.6%
N 6734
18.2%
L 6681
18.1%
C 2795
7.6%
B 2329
 
6.3%
E 2328
 
6.3%
A 1759
 
4.8%
D 823
 
2.2%
F 620
 
1.7%
M 591
 
1.6%
Other values (16) 5450
14.7%
Decimal Number
ValueCountFrequency (%)
2 25746
24.7%
1 11940
11.4%
0 9298
 
8.9%
3 9009
 
8.6%
4 8661
 
8.3%
8 8619
 
8.3%
9 8600
 
8.2%
7 7681
 
7.4%
6 7526
 
7.2%
5 7261
 
7.0%
Other Punctuation
ValueCountFrequency (%)
/ 32997
40.1%
. 20002
24.3%
: 10000
 
12.1%
? 7202
 
8.7%
& 6323
 
7.7%
% 5829
 
7.1%
Math Symbol
ValueCountFrequency (%)
= 13525
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1093
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 791
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 358136
63.9%
Common 202103
36.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 41562
 
11.6%
t 33956
 
9.5%
e 24918
 
7.0%
g 22818
 
6.4%
c 18521
 
5.2%
r 18012
 
5.0%
l 16880
 
4.7%
s 15641
 
4.4%
a 14331
 
4.0%
m 13771
 
3.8%
Other values (42) 137726
38.5%
Common
ValueCountFrequency (%)
/ 32997
16.3%
2 25746
12.7%
. 20002
 
9.9%
= 13525
 
6.7%
1 11940
 
5.9%
: 10000
 
4.9%
0 9298
 
4.6%
3 9009
 
4.5%
4 8661
 
4.3%
8 8619
 
4.3%
Other values (9) 52306
25.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 560239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 41562
 
7.4%
t 33956
 
6.1%
/ 32997
 
5.9%
2 25746
 
4.6%
e 24918
 
4.4%
g 22818
 
4.1%
. 20002
 
3.6%
c 18521
 
3.3%
r 18012
 
3.2%
l 16880
 
3.0%
Other values (61) 304827
54.4%

관광상품명
Text

Distinct1110
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T17:00:42.991224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length117
Median length78
Mean length6.629
Min length1

Characters and Unicode

Total characters66290
Distinct characters643
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique217 ?
Unique (%)2.2%

Sample

1st row석류공원
2nd row금호지
3rd row진주성
4th row쇼우다이
5th row쇼우다이
ValueCountFrequency (%)
진주성 707
 
5.9%
경상남도수목원 328
 
2.8%
진양호 267
 
2.2%
진주레일바이크놀이공원 263
 
2.2%
월아산 232
 
1.9%
진주 194
 
1.6%
진주익룡발자국전시관 193
 
1.6%
숲속의 190
 
1.6%
진주점 174
 
1.5%
본점 156
 
1.3%
Other values (1182) 9197
77.3%
2023-12-12T17:00:43.349106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
진 3478
 
5.2%
주 2977
 
4.5%
1909
 
2.9%
이 1798
 
2.7%
호 1623
 
2.4%
원 1354
 
2.0%
점 1101
 
1.7%
성 1048
 
1.6%
산 927
 
1.4%
스 838
 
1.3%
Other values (633) 49237
74.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62030
93.6%
Space Separator 1909
 
2.9%
Other Punctuation 549
 
0.8%
Decimal Number 412
 
0.6%
Uppercase Letter 350
 
0.5%
Lowercase Letter 348
 
0.5%
Open Punctuation 346
 
0.5%
Close Punctuation 346
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 3478
 
5.6%
주 2977
 
4.8%
이 1798
 
2.9%
호 1623
 
2.6%
원 1354
 
2.2%
점 1101
 
1.8%
성 1048
 
1.7%
산 927
 
1.5%
스 838
 
1.4%
남 775
 
1.2%
Other values (580) 46111
74.3%
Uppercase Letter
ValueCountFrequency (%)
A 82
23.4%
B 41
11.7%
M 37
10.6%
S 30
 
8.6%
I 29
 
8.3%
O 29
 
8.3%
E 20
 
5.7%
K 14
 
4.0%
T 10
 
2.9%
D 9
 
2.6%
Other values (9) 49
14.0%
Lowercase Letter
ValueCountFrequency (%)
o 82
23.6%
e 53
15.2%
r 41
11.8%
f 35
10.1%
m 30
 
8.6%
c 24
 
6.9%
a 24
 
6.9%
t 17
 
4.9%
s 13
 
3.7%
i 6
 
1.7%
Other values (8) 23
 
6.6%
Decimal Number
ValueCountFrequency (%)
5 95
23.1%
0 78
18.9%
6 60
14.6%
2 55
13.3%
1 46
11.2%
4 36
 
8.7%
9 15
 
3.6%
7 9
 
2.2%
8 9
 
2.2%
3 9
 
2.2%
Other Punctuation
ValueCountFrequency (%)
/ 490
89.3%
& 51
 
9.3%
. 8
 
1.5%
Space Separator
ValueCountFrequency (%)
1909
100.0%
Open Punctuation
ValueCountFrequency (%)
( 346
100.0%
Close Punctuation
ValueCountFrequency (%)
) 346
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62030
93.6%
Common 3562
 
5.4%
Latin 698
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 3478
 
5.6%
주 2977
 
4.8%
이 1798
 
2.9%
호 1623
 
2.6%
원 1354
 
2.2%
점 1101
 
1.8%
성 1048
 
1.7%
산 927
 
1.5%
스 838
 
1.4%
남 775
 
1.2%
Other values (580) 46111
74.3%
Latin
ValueCountFrequency (%)
o 82
 
11.7%
A 82
 
11.7%
e 53
 
7.6%
B 41
 
5.9%
r 41
 
5.9%
M 37
 
5.3%
f 35
 
5.0%
m 30
 
4.3%
S 30
 
4.3%
I 29
 
4.2%
Other values (27) 238
34.1%
Common
ValueCountFrequency (%)
1909
53.6%
/ 490
 
13.8%
( 346
 
9.7%
) 346
 
9.7%
5 95
 
2.7%
0 78
 
2.2%
6 60
 
1.7%
2 55
 
1.5%
& 51
 
1.4%
1 46
 
1.3%
Other values (6) 86
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62030
93.6%
ASCII 4260
 
6.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
진 3478
 
5.6%
주 2977
 
4.8%
이 1798
 
2.9%
호 1623
 
2.6%
원 1354
 
2.2%
점 1101
 
1.8%
성 1048
 
1.7%
산 927
 
1.5%
스 838
 
1.4%
남 775
 
1.2%
Other values (580) 46111
74.3%
ASCII
ValueCountFrequency (%)
1909
44.8%
/ 490
 
11.5%
( 346
 
8.1%
) 346
 
8.1%
5 95
 
2.2%
o 82
 
1.9%
A 82
 
1.9%
0 78
 
1.8%
6 60
 
1.4%
2 55
 
1.3%
Other values (43) 717
 
16.8%

해시태그
Text

Distinct4904
Distinct (%)49.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T17:00:43.623070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length3.649
Min length1

Characters and Unicode

Total characters36490
Distinct characters918
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3641 ?
Unique (%)36.4%

Sample

1st row낙엽
2nd row하모인형이벤트
3rd row진주성
4th row트럭
5th row진주맛집
ValueCountFrequency (%)
진주 254
 
2.5%
진주맛집 116
 
1.2%
진주여행 81
 
0.8%
맛집 75
 
0.7%
진주성 69
 
0.7%
남강 54
 
0.5%
진주가볼만한곳 52
 
0.5%
여행 51
 
0.5%
진주카페 50
 
0.5%
촉석루 45
 
0.4%
Other values (4894) 9154
91.5%
2023-12-12T17:00:44.094583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2014
 
5.5%
진 1968
 
5.4%
이 740
 
2.0%
집 646
 
1.8%
맛 611
 
1.7%
스 471
 
1.3%
동 416
 
1.1%
장 388
 
1.1%
가 352
 
1.0%
시 348
 
1.0%
Other values (908) 28536
78.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36101
98.9%
Lowercase Letter 232
 
0.6%
Decimal Number 91
 
0.2%
Uppercase Letter 60
 
0.2%
Other Punctuation 4
 
< 0.1%
Connector Punctuation 1
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2014
 
5.6%
진 1968
 
5.5%
이 740
 
2.0%
집 646
 
1.8%
맛 611
 
1.7%
스 471
 
1.3%
동 416
 
1.2%
장 388
 
1.1%
가 352
 
1.0%
시 348
 
1.0%
Other values (846) 28147
78.0%
Lowercase Letter
ValueCountFrequency (%)
o 31
13.4%
a 26
 
11.2%
e 19
 
8.2%
n 19
 
8.2%
m 16
 
6.9%
b 13
 
5.6%
i 11
 
4.7%
k 10
 
4.3%
r 9
 
3.9%
d 9
 
3.9%
Other values (14) 69
29.7%
Uppercase Letter
ValueCountFrequency (%)
T 9
15.0%
A 6
 
10.0%
R 6
 
10.0%
V 6
 
10.0%
S 4
 
6.7%
K 3
 
5.0%
X 3
 
5.0%
M 3
 
5.0%
O 2
 
3.3%
I 2
 
3.3%
Other values (12) 16
26.7%
Decimal Number
ValueCountFrequency (%)
1 18
19.8%
2 16
17.6%
0 13
14.3%
4 12
13.2%
3 10
11.0%
8 7
 
7.7%
7 5
 
5.5%
5 4
 
4.4%
6 3
 
3.3%
9 3
 
3.3%
Other Punctuation
ValueCountFrequency (%)
# 1
25.0%
: 1
25.0%
' 1
25.0%
& 1
25.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36101
98.9%
Latin 292
 
0.8%
Common 97
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2014
 
5.6%
진 1968
 
5.5%
이 740
 
2.0%
집 646
 
1.8%
맛 611
 
1.7%
스 471
 
1.3%
동 416
 
1.2%
장 388
 
1.1%
가 352
 
1.0%
시 348
 
1.0%
Other values (846) 28147
78.0%
Latin
ValueCountFrequency (%)
o 31
 
10.6%
a 26
 
8.9%
e 19
 
6.5%
n 19
 
6.5%
m 16
 
5.5%
b 13
 
4.5%
i 11
 
3.8%
k 10
 
3.4%
T 9
 
3.1%
r 9
 
3.1%
Other values (36) 129
44.2%
Common
ValueCountFrequency (%)
1 18
18.6%
2 16
16.5%
0 13
13.4%
4 12
12.4%
3 10
10.3%
8 7
 
7.2%
7 5
 
5.2%
5 4
 
4.1%
6 3
 
3.1%
9 3
 
3.1%
Other values (6) 6
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36101
98.9%
ASCII 389
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2014
 
5.6%
진 1968
 
5.5%
이 740
 
2.0%
집 646
 
1.8%
맛 611
 
1.7%
스 471
 
1.3%
동 416
 
1.2%
장 388
 
1.1%
가 352
 
1.0%
시 348
 
1.0%
Other values (846) 28147
78.0%
ASCII
ValueCountFrequency (%)
o 31
 
8.0%
a 26
 
6.7%
e 19
 
4.9%
n 19
 
4.9%
1 18
 
4.6%
2 16
 
4.1%
m 16
 
4.1%
b 13
 
3.3%
0 13
 
3.3%
4 12
 
3.1%
Other values (52) 206
53.0%

정렬순서
Text

Distinct7096
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T17:00:44.443313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length5.7242
Min length3

Characters and Unicode

Total characters57242
Distinct characters918
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5842 ?
Unique (%)58.4%

Sample

1st row낙엽:1
2nd row하모인형이벤트:2
3rd row진주성:23
4th row트럭:4
5th row진주맛집:1
ValueCountFrequency (%)
진주맛집:1 52
 
0.5%
진주여행:1 40
 
0.4%
진주가볼만한곳:1 36
 
0.4%
진주레일바이크:1 35
 
0.3%
진주카페:1 28
 
0.3%
진주맛집:2 24
 
0.2%
진주:1 21
 
0.2%
진주여행:2 21
 
0.2%
주차장:1 19
 
0.2%
진주벚꽃:1 19
 
0.2%
Other values (7086) 9706
97.1%
2023-12-12T17:00:45.109389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
: 9999
 
17.5%
1 5471
 
9.6%
2 2139
 
3.7%
주 2014
 
3.5%
진 1969
 
3.4%
3 1047
 
1.8%
이 739
 
1.3%
4 660
 
1.2%
집 646
 
1.1%
맛 611
 
1.1%
Other values (908) 31947
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36092
63.1%
Decimal Number 10854
 
19.0%
Other Punctuation 10002
 
17.5%
Lowercase Letter 232
 
0.4%
Uppercase Letter 60
 
0.1%
Space Separator 1
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2014
 
5.6%
진 1969
 
5.5%
이 739
 
2.0%
집 646
 
1.8%
맛 611
 
1.7%
스 471
 
1.3%
동 416
 
1.2%
장 388
 
1.1%
가 352
 
1.0%
시 348
 
1.0%
Other values (846) 28138
78.0%
Lowercase Letter
ValueCountFrequency (%)
o 31
13.4%
a 26
 
11.2%
n 19
 
8.2%
e 19
 
8.2%
m 16
 
6.9%
b 13
 
5.6%
i 11
 
4.7%
k 10
 
4.3%
r 9
 
3.9%
d 9
 
3.9%
Other values (14) 69
29.7%
Uppercase Letter
ValueCountFrequency (%)
T 9
15.0%
A 6
 
10.0%
R 6
 
10.0%
V 6
 
10.0%
S 4
 
6.7%
X 3
 
5.0%
K 3
 
5.0%
M 3
 
5.0%
O 2
 
3.3%
I 2
 
3.3%
Other values (12) 16
26.7%
Decimal Number
ValueCountFrequency (%)
1 5471
50.4%
2 2139
 
19.7%
3 1047
 
9.6%
4 660
 
6.1%
5 455
 
4.2%
6 327
 
3.0%
7 269
 
2.5%
8 199
 
1.8%
0 144
 
1.3%
9 143
 
1.3%
Other Punctuation
ValueCountFrequency (%)
: 9999
> 99.9%
& 1
 
< 0.1%
' 1
 
< 0.1%
# 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36092
63.1%
Common 20858
36.4%
Latin 292
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2014
 
5.6%
진 1969
 
5.5%
이 739
 
2.0%
집 646
 
1.8%
맛 611
 
1.7%
스 471
 
1.3%
동 416
 
1.2%
장 388
 
1.1%
가 352
 
1.0%
시 348
 
1.0%
Other values (846) 28138
78.0%
Latin
ValueCountFrequency (%)
o 31
 
10.6%
a 26
 
8.9%
n 19
 
6.5%
e 19
 
6.5%
m 16
 
5.5%
b 13
 
4.5%
i 11
 
3.8%
k 10
 
3.4%
T 9
 
3.1%
r 9
 
3.1%
Other values (36) 129
44.2%
Common
ValueCountFrequency (%)
: 9999
47.9%
1 5471
26.2%
2 2139
 
10.3%
3 1047
 
5.0%
4 660
 
3.2%
5 455
 
2.2%
6 327
 
1.6%
7 269
 
1.3%
8 199
 
1.0%
0 144
 
0.7%
Other values (6) 148
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36092
63.1%
ASCII 21150
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
: 9999
47.3%
1 5471
25.9%
2 2139
 
10.1%
3 1047
 
5.0%
4 660
 
3.1%
5 455
 
2.2%
6 327
 
1.5%
7 269
 
1.3%
8 199
 
0.9%
0 144
 
0.7%
Other values (52) 440
 
2.1%
Hangul
ValueCountFrequency (%)
주 2014
 
5.6%
진 1969
 
5.5%
이 739
 
2.0%
집 646
 
1.8%
맛 611
 
1.7%
스 471
 
1.3%
동 416
 
1.2%
장 388
 
1.1%
가 352
 
1.0%
시 348
 
1.0%
Other values (846) 28138
78.0%

해시태그생성일
Date

Distinct53
Distinct (%)0.5%
Missing10
Missing (%)0.1%
Memory size156.2 KiB
Minimum2021-08-09 00:00:00
Maximum2121-10-07 00:00:00
2023-12-12T17:00:45.295376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:00:45.475509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

관광상품분류
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
음식점
4577 
관광지
4318 
숙소
1099 
행사
 
6

Length

Max length3
Median length3
Mean length2.8895
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row관광지
2nd row관광지
3rd row관광지
4th row음식점
5th row음식점

Common Values

ValueCountFrequency (%)
음식점 4577
45.8%
관광지 4318
43.2%
숙소 1099
 
11.0%
행사 6
 
0.1%

Length

2023-12-12T17:00:45.641772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:00:45.778192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음식점 4577
45.8%
관광지 4318
43.2%
숙소 1099
 
11.0%
행사 6
 
0.1%

Interactions

2023-12-12T17:00:41.445471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:00:45.874799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호해시태그생성일관광상품분류
번호1.0000.6640.851
해시태그생성일0.6641.0000.666
관광상품분류0.8510.6661.000
2023-12-12T17:00:46.004179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호관광상품분류
번호1.0000.698
관광상품분류0.6981.000

Missing values

2023-12-12T17:00:41.600476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:00:41.758773image/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

번호홈페이지주소(URL)관광상품명해시태그정렬순서해시태그생성일관광상품분류
137446013745https://blog.naver.com/ji0865?Redirect=Log&logNo=222099434312석류공원낙엽낙엽:12021-11-16관광지
72006007201https://www.instagram.com/p/CQAETGQh-P4/금호지하모인형이벤트하모인형이벤트:22021-09-09관광지
283056028306https://recelo.tistory.com/264진주성진주성진주성:232021-10-12관광지
706466070647https://blog.naver.com/japoung?Redirect=Log&logNo=222116360245쇼우다이트럭트럭:42021-08-10음식점
709566070957https://blog.naver.com/ciy981118?Redirect=Log&logNo=222310093393쇼우다이진주맛집진주맛집:12021-09-28음식점
564386056439https://dynosstory.tistory.com/6847라그릭다이어트다이어트:12021-10-19음식점
515806051581https://blog.naver.com/verygoodlotto?Redirect=Log&logNo=222442229486금채채소채소:12021-09-07음식점
462706046271https://blog.naver.com/mochimom0313?Redirect=Log&logNo=221460107306해여울펜션유등축제유등축제:22021-08-12숙소
343116034312https://blog.naver.com/mjl2574?Redirect=Log&logNo=222280953205청곡사환학루환학루:12021-08-17관광지
822106082211https://bikamp.tistory.com/98제일식당3대째영업3대째영업:12021-10-14음식점
번호홈페이지주소(URL)관광상품명해시태그정렬순서해시태그생성일관광상품분류
336416033642https://blog.naver.com/1blacklist?Redirect=Log&logNo=222407408371청곡사진주산책진주산책:12021-08-30관광지
132856013286https://blog.naver.com/pearl286?Redirect=Log&logNo=221870491088비봉산의암의암:22021-08-31관광지
636386063639https://blog.naver.com/soyoung8365?Redirect=Log&logNo=221534553417방다원보이찻집맛있는맛있는:12021-09-16음식점
194666019467https://www.instagram.com/p/CNaM7ktpLwk/진양호진양호진양호:32021-09-15관광지
171236017124https://dugodajy.tistory.com/entry/%EA%B2%BD%EB%82%A8-%EC%A7%84%EC%A3%BC%EC%97%AC%ED%96%89%EB%85%BC%EA%B0%9C-%EC%9D%98%EC%95%94-%EC%9D%98%EC%95%94-%EC%82%AC%EC%A0%81%EB%B9%84%E6%99%8B%E5%B7%9E-%E7%BE%A9%E5%B7%96-%E4%BA%8B%E8%B9%9F%E7%A2%91-%EB%B0%8F-%EC%9D%98%EA%B8%B0%EC%82%AC%E6%99%89%E5%B7%9E-%E7%BE%A9%E5%A6%93%E7%A5%A0의암의기사의기사:32021-10-27관광지
549016054902https://blog.naver.com/albong0210?Redirect=Log&logNo=222357412477돈가스잘하는집야채야채:12021-08-09음식점
747106074711https://blog.naver.com/sye302?Redirect=Log&logNo=222130368556양철식당 진주혁신점진주진주:112021-08-19음식점
417766041777https://blog.naver.com/dlrnswn12?Redirect=Log&logNo=221822194024명품무인텔휴식휴식:22021-09-01숙소
722336072234https://blog.naver.com/ekal3659?Redirect=Log&logNo=222085233659스시하루먹방블로그먹방블로그:22021-08-10음식점
163956016396https://blog.naver.com/ilovewelliv?Redirect=Log&logNo=221528261663월아산 숲속의 진주진주진주:142021-09-09관광지