Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory634.8 KiB
Average record size in memory65.0 B

Variable types

Numeric1
Categorical2
Text3
DateTime1

Dataset

Description경상남도 진주시 관광상품별 감성 해시태그에 대한 데이터를 제공합니다.
Author경상남도 진주시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15097741

Alerts

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

Reproduction

Analysis started2023-12-11 00:37:11.583913
Analysis finished2023-12-11 00:37:13.283373
Duration1.7 second
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%
Mean7009940.5
Minimum7000001
Maximum7019949
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T09:37:13.357985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7000001
5-th percentile7001007
Q17004969.8
median7009876.5
Q37014932.2
95-th percentile7018947
Maximum7019949
Range19948
Interquartile range (IQR)9962.5

Descriptive statistics

Standard deviation5746.2852
Coefficient of variation (CV)0.00081973381
Kurtosis-1.1970677
Mean7009940.5
Median Absolute Deviation (MAD)4982.5
Skewness0.016195567
Sum7.0099405 × 1010
Variance33019794
MonotonicityNot monotonic
2023-12-11T09:37:13.523393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7018891 1
 
< 0.1%
7008574 1
 
< 0.1%
7018362 1
 
< 0.1%
7017661 1
 
< 0.1%
7008214 1
 
< 0.1%
7018162 1
 
< 0.1%
7008582 1
 
< 0.1%
7018376 1
 
< 0.1%
7011560 1
 
< 0.1%
7013605 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
7000001 1
< 0.1%
7000003 1
< 0.1%
7000008 1
< 0.1%
7000009 1
< 0.1%
7000013 1
< 0.1%
7000014 1
< 0.1%
7000016 1
< 0.1%
7000017 1
< 0.1%
7000020 1
< 0.1%
7000021 1
< 0.1%
ValueCountFrequency (%)
7019949 1
< 0.1%
7019944 1
< 0.1%
7019943 1
< 0.1%
7019942 1
< 0.1%
7019941 1
< 0.1%
7019938 1
< 0.1%
7019937 1
< 0.1%
7019936 1
< 0.1%
7019929 1
< 0.1%
7019925 1
< 0.1%

관광상품분류
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
음식점
7518 
관광지
1242 
행사
 
713
숙소
 
527

Length

Max length3
Median length3
Mean length2.876
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
음식점 7518
75.2%
관광지 1242
 
12.4%
행사 713
 
7.1%
숙소 527
 
5.3%

Length

2023-12-11T09:37:13.701479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:37:13.811600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음식점 7518
75.2%
관광지 1242
 
12.4%
행사 713
 
7.1%
숙소 527
 
5.3%

관광상품명
Text

Distinct1166
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T09:37:14.004746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length21
Mean length6.4224
Min length1

Characters and Unicode

Total characters64224
Distinct characters678
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row방구석콘서트 으랏차차
2nd row방구석콘서트 으랏차차
3rd row이철수 판화전
4th row조선본갈비
5th row주는 뒷고기집
ValueCountFrequency (%)
진주점 161
 
1.3%
본점 148
 
1.2%
진주평거점 121
 
1.0%
진주혁신점 113
 
0.9%
평거점 73
 
0.6%
하대점 63
 
0.5%
진주본점 55
 
0.4%
진주혁신도시점 50
 
0.4%
진주경상대점 48
 
0.4%
진주갤러리아점 46
 
0.4%
Other values (1285) 11565
92.9%
2023-12-11T09:37:14.394468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2462
 
3.8%
주 2118
 
3.3%
진 2034
 
3.2%
점 1643
 
2.6%
이 1176
 
1.8%
스 1105
 
1.7%
리 753
 
1.2%
대 741
 
1.2%
호 696
 
1.1%
가 632
 
1.0%
Other values (668) 50864
79.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59632
92.9%
Space Separator 2462
 
3.8%
Decimal Number 745
 
1.2%
Uppercase Letter 568
 
0.9%
Lowercase Letter 563
 
0.9%
Other Punctuation 139
 
0.2%
Open Punctuation 44
 
0.1%
Close Punctuation 44
 
0.1%
Math Symbol 18
 
< 0.1%
Dash Punctuation 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2118
 
3.6%
진 2034
 
3.4%
점 1643
 
2.8%
이 1176
 
2.0%
스 1105
 
1.9%
리 753
 
1.3%
대 741
 
1.2%
호 696
 
1.2%
가 632
 
1.1%
식 605
 
1.0%
Other values (610) 48129
80.7%
Uppercase Letter
ValueCountFrequency (%)
A 83
14.6%
S 60
 
10.6%
B 48
 
8.5%
M 46
 
8.1%
E 36
 
6.3%
G 33
 
5.8%
C 32
 
5.6%
F 28
 
4.9%
D 25
 
4.4%
N 25
 
4.4%
Other values (10) 152
26.8%
Lowercase Letter
ValueCountFrequency (%)
e 99
17.6%
o 81
14.4%
t 53
9.4%
s 46
8.2%
f 41
7.3%
r 34
 
6.0%
i 33
 
5.9%
n 28
 
5.0%
h 27
 
4.8%
w 24
 
4.3%
Other values (7) 97
17.2%
Decimal Number
ValueCountFrequency (%)
2 142
19.1%
0 132
17.7%
4 120
16.1%
1 106
14.2%
5 104
14.0%
3 44
 
5.9%
9 33
 
4.4%
7 30
 
4.0%
6 20
 
2.7%
8 14
 
1.9%
Other Punctuation
ValueCountFrequency (%)
& 86
61.9%
' 18
 
12.9%
. 17
 
12.2%
: 13
 
9.4%
, 5
 
3.6%
Math Symbol
ValueCountFrequency (%)
< 9
50.0%
> 9
50.0%
Space Separator
ValueCountFrequency (%)
2462
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59632
92.9%
Common 3461
 
5.4%
Latin 1131
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2118
 
3.6%
진 2034
 
3.4%
점 1643
 
2.8%
이 1176
 
2.0%
스 1105
 
1.9%
리 753
 
1.3%
대 741
 
1.2%
호 696
 
1.2%
가 632
 
1.1%
식 605
 
1.0%
Other values (610) 48129
80.7%
Latin
ValueCountFrequency (%)
e 99
 
8.8%
A 83
 
7.3%
o 81
 
7.2%
S 60
 
5.3%
t 53
 
4.7%
B 48
 
4.2%
M 46
 
4.1%
s 46
 
4.1%
f 41
 
3.6%
E 36
 
3.2%
Other values (27) 538
47.6%
Common
ValueCountFrequency (%)
2462
71.1%
2 142
 
4.1%
0 132
 
3.8%
4 120
 
3.5%
1 106
 
3.1%
5 104
 
3.0%
& 86
 
2.5%
( 44
 
1.3%
) 44
 
1.3%
3 44
 
1.3%
Other values (11) 177
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59632
92.9%
ASCII 4592
 
7.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2462
53.6%
2 142
 
3.1%
0 132
 
2.9%
4 120
 
2.6%
1 106
 
2.3%
5 104
 
2.3%
e 99
 
2.2%
& 86
 
1.9%
A 83
 
1.8%
o 81
 
1.8%
Other values (48) 1177
25.6%
Hangul
ValueCountFrequency (%)
주 2118
 
3.6%
진 2034
 
3.4%
점 1643
 
2.8%
이 1176
 
2.0%
스 1105
 
1.9%
리 753
 
1.3%
대 741
 
1.2%
호 696
 
1.2%
가 632
 
1.1%
식 605
 
1.0%
Other values (610) 48129
80.7%

해시태그분류
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
분위기
2938 
주요토픽
2932 
방문목적
2356 
주변관광지
1751 
주변 관광지
 
23

Length

Max length6
Median length4
Mean length3.8859
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row방문목적
2nd row분위기
3rd row분위기
4th row주요토픽
5th row주요토픽

Common Values

ValueCountFrequency (%)
분위기 2938
29.4%
주요토픽 2932
29.3%
방문목적 2356
23.6%
주변관광지 1751
17.5%
주변 관광지 23
 
0.2%

Length

2023-12-11T09:37:14.544325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:37:14.654447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
분위기 2938
29.3%
주요토픽 2932
29.3%
방문목적 2356
23.5%
주변관광지 1751
17.5%
주변 23
 
0.2%
관광지 23
 
0.2%

해시태그
Text

Distinct2710
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T09:37:14.903484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length4.074
Min length1

Characters and Unicode

Total characters40740
Distinct characters763
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1971 ?
Unique (%)19.7%

Sample

1st row색다른
2nd row분위기좋은
3rd row따뜻한
4th row불고기
5th row진주맛집
ValueCountFrequency (%)
깔끔한 281
 
2.8%
친절한 259
 
2.6%
데이트 203
 
2.0%
편안한 195
 
1.9%
재방문 188
 
1.9%
분위기좋은 178
 
1.8%
소박한 176
 
1.8%
나들이 148
 
1.5%
따뜻한 132
 
1.3%
진주성 131
 
1.3%
Other values (2700) 8110
81.1%
2023-12-11T09:37:15.342739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
한 2489
 
6.1%
진 1105
 
2.7%
주 991
 
2.4%
이 915
 
2.2%
가 626
 
1.5%
기 581
 
1.4%
스 464
 
1.1%
원 450
 
1.1%
장 409
 
1.0%
친 405
 
1.0%
Other values (753) 32305
79.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40574
99.6%
Decimal Number 89
 
0.2%
Uppercase Letter 35
 
0.1%
Lowercase Letter 14
 
< 0.1%
Math Symbol 11
 
< 0.1%
Other Punctuation 9
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Dash Punctuation 1
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 2489
 
6.1%
진 1105
 
2.7%
주 991
 
2.4%
이 915
 
2.3%
가 626
 
1.5%
기 581
 
1.4%
스 464
 
1.1%
원 450
 
1.1%
장 409
 
1.0%
친 405
 
1.0%
Other values (709) 32139
79.2%
Uppercase Letter
ValueCountFrequency (%)
V 6
17.1%
K 5
14.3%
S 4
11.4%
T 4
11.4%
B 4
11.4%
C 2
 
5.7%
R 2
 
5.7%
D 2
 
5.7%
W 1
 
2.9%
X 1
 
2.9%
Other values (4) 4
11.4%
Lowercase Letter
ValueCountFrequency (%)
t 3
21.4%
h 2
14.3%
p 2
14.3%
i 1
 
7.1%
e 1
 
7.1%
u 1
 
7.1%
c 1
 
7.1%
l 1
 
7.1%
a 1
 
7.1%
r 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
0 28
31.5%
1 19
21.3%
2 15
16.9%
3 11
 
12.4%
5 6
 
6.7%
4 5
 
5.6%
6 2
 
2.2%
8 2
 
2.2%
7 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
/ 3
33.3%
& 2
22.2%
· 2
22.2%
, 1
 
11.1%
% 1
 
11.1%
Math Symbol
ValueCountFrequency (%)
+ 9
81.8%
~ 2
 
18.2%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40574
99.6%
Common 117
 
0.3%
Latin 49
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 2489
 
6.1%
진 1105
 
2.7%
주 991
 
2.4%
이 915
 
2.3%
가 626
 
1.5%
기 581
 
1.4%
스 464
 
1.1%
원 450
 
1.1%
장 409
 
1.0%
친 405
 
1.0%
Other values (709) 32139
79.2%
Latin
ValueCountFrequency (%)
V 6
 
12.2%
K 5
 
10.2%
S 4
 
8.2%
T 4
 
8.2%
B 4
 
8.2%
t 3
 
6.1%
C 2
 
4.1%
h 2
 
4.1%
p 2
 
4.1%
R 2
 
4.1%
Other values (14) 15
30.6%
Common
ValueCountFrequency (%)
0 28
23.9%
1 19
16.2%
2 15
12.8%
3 11
 
9.4%
+ 9
 
7.7%
5 6
 
5.1%
4 5
 
4.3%
( 3
 
2.6%
) 3
 
2.6%
/ 3
 
2.6%
Other values (10) 15
12.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40574
99.6%
ASCII 164
 
0.4%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
한 2489
 
6.1%
진 1105
 
2.7%
주 991
 
2.4%
이 915
 
2.3%
가 626
 
1.5%
기 581
 
1.4%
스 464
 
1.1%
원 450
 
1.1%
장 409
 
1.0%
친 405
 
1.0%
Other values (709) 32139
79.2%
ASCII
ValueCountFrequency (%)
0 28
17.1%
1 19
 
11.6%
2 15
 
9.1%
3 11
 
6.7%
+ 9
 
5.5%
5 6
 
3.7%
V 6
 
3.7%
4 5
 
3.0%
K 5
 
3.0%
S 4
 
2.4%
Other values (33) 56
34.1%
None
ValueCountFrequency (%)
· 2
100.0%

정렬순서
Text

Distinct3912
Distinct (%)39.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T09:37:15.664943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length6.0742
Min length3

Characters and Unicode

Total characters60742
Distinct characters764
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2905 ?
Unique (%)29.0%

Sample

1st row색다른:1
2nd row분위기좋은:5
3rd row따뜻한:1
4th row불고기:4
5th row진주맛집:5
ValueCountFrequency (%)
깔끔한:4 86
 
0.9%
친절한:5 76
 
0.8%
깔끔한:2 64
 
0.6%
깔끔한:3 63
 
0.6%
데이트:3 59
 
0.6%
친절한:3 55
 
0.5%
데이트:4 54
 
0.5%
소박한:4 54
 
0.5%
친절한:4 53
 
0.5%
가족여행:4 49
 
0.5%
Other values (3903) 9388
93.9%
2023-12-11T09:37:16.101907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
: 9998
 
16.5%
한 2487
 
4.1%
1 2404
 
4.0%
3 2364
 
3.9%
2 2280
 
3.8%
4 1768
 
2.9%
5 1220
 
2.0%
진 1105
 
1.8%
주 991
 
1.6%
이 915
 
1.5%
Other values (754) 35210
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40581
66.8%
Decimal Number 10086
 
16.6%
Other Punctuation 10007
 
16.5%
Uppercase Letter 35
 
0.1%
Lowercase Letter 14
 
< 0.1%
Math Symbol 11
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Space Separator 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 2487
 
6.1%
진 1105
 
2.7%
주 991
 
2.4%
이 915
 
2.3%
가 626
 
1.5%
기 581
 
1.4%
스 465
 
1.1%
원 450
 
1.1%
장 409
 
1.0%
친 405
 
1.0%
Other values (709) 32147
79.2%
Uppercase Letter
ValueCountFrequency (%)
V 6
17.1%
K 5
14.3%
B 4
11.4%
S 4
11.4%
T 4
11.4%
C 2
 
5.7%
D 2
 
5.7%
R 2
 
5.7%
W 1
 
2.9%
X 1
 
2.9%
Other values (4) 4
11.4%
Lowercase Letter
ValueCountFrequency (%)
t 3
21.4%
p 2
14.3%
h 2
14.3%
i 1
 
7.1%
e 1
 
7.1%
c 1
 
7.1%
l 1
 
7.1%
u 1
 
7.1%
a 1
 
7.1%
r 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 2404
23.8%
3 2364
23.4%
2 2280
22.6%
4 1768
17.5%
5 1220
12.1%
0 28
 
0.3%
6 19
 
0.2%
8 2
 
< 0.1%
7 1
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
: 9998
99.9%
/ 3
 
< 0.1%
& 2
 
< 0.1%
· 2
 
< 0.1%
, 1
 
< 0.1%
% 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
+ 9
81.8%
~ 2
 
18.2%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40581
66.8%
Common 20112
33.1%
Latin 49
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 2487
 
6.1%
진 1105
 
2.7%
주 991
 
2.4%
이 915
 
2.3%
가 626
 
1.5%
기 581
 
1.4%
스 465
 
1.1%
원 450
 
1.1%
장 409
 
1.0%
친 405
 
1.0%
Other values (709) 32147
79.2%
Latin
ValueCountFrequency (%)
V 6
 
12.2%
K 5
 
10.2%
B 4
 
8.2%
S 4
 
8.2%
T 4
 
8.2%
t 3
 
6.1%
p 2
 
4.1%
C 2
 
4.1%
D 2
 
4.1%
R 2
 
4.1%
Other values (14) 15
30.6%
Common
ValueCountFrequency (%)
: 9998
49.7%
1 2404
 
12.0%
3 2364
 
11.8%
2 2280
 
11.3%
4 1768
 
8.8%
5 1220
 
6.1%
0 28
 
0.1%
6 19
 
0.1%
+ 9
 
< 0.1%
( 3
 
< 0.1%
Other values (11) 19
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40581
66.8%
ASCII 20159
33.2%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
: 9998
49.6%
1 2404
 
11.9%
3 2364
 
11.7%
2 2280
 
11.3%
4 1768
 
8.8%
5 1220
 
6.1%
0 28
 
0.1%
6 19
 
0.1%
+ 9
 
< 0.1%
V 6
 
< 0.1%
Other values (34) 63
 
0.3%
Hangul
ValueCountFrequency (%)
한 2487
 
6.1%
진 1105
 
2.7%
주 991
 
2.4%
이 915
 
2.3%
가 626
 
1.5%
기 581
 
1.4%
스 465
 
1.1%
원 450
 
1.1%
장 409
 
1.0%
친 405
 
1.0%
Other values (709) 32147
79.2%
None
ValueCountFrequency (%)
· 2
100.0%

해시태그생성일
Date

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2021-11-01 00:00:00
Maximum2021-11-22 00:00:00
2023-12-11T09:37:16.210294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:37:16.311243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

Interactions

2023-12-11T09:37:12.929663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:37:16.405284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호관광상품분류해시태그분류해시태그생성일
번호1.0000.9210.0210.945
관광상품분류0.9211.0000.0110.985
해시태그분류0.0210.0111.0000.117
해시태그생성일0.9450.9850.1171.000
2023-12-11T09:37:16.502971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
해시태그분류관광상품분류
해시태그분류1.0000.009
관광상품분류0.0091.000
2023-12-11T09:37:16.589431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호관광상품분류해시태그분류
번호1.0000.8190.009
관광상품분류0.8191.0000.009
해시태그분류0.0090.0091.000

Missing values

2023-12-11T09:37:13.081974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:37:13.223696image/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

번호관광상품분류관광상품명해시태그분류해시태그정렬순서해시태그생성일
188907018891행사방구석콘서트 으랏차차방문목적색다른색다른:12021-11-15
188807018881행사방구석콘서트 으랏차차분위기분위기좋은분위기좋은:52021-11-15
191727019173행사이철수 판화전분위기따뜻한따뜻한:12021-11-15
143197014320음식점조선본갈비주요토픽불고기불고기:42021-11-09
152037015204음식점주는 뒷고기집주요토픽진주맛집진주맛집:52021-11-09
33847003385숙소호수언저리펜션주변관광지진주랜드진주랜드:22021-11-16
39097003910음식점가마솥팥칼국수방문목적동지동지:32021-11-01
188357018836행사문화가있는날 4인놀이주변관광지진주성진주성:32021-11-15
190597019060행사연극 라이어방문목적힐링힐링:22021-11-15
159297015930음식점춤추는철가방방문목적재방문재방문:12021-11-10
번호관광상품분류관광상품명해시태그분류해시태그정렬순서해시태그생성일
161977016198음식점카페뮈렌분위기근사한근사한:12021-11-10
192667019267행사진주 이상근 국제음악제분위기고급진고급진:22021-11-15
187157018716행사대한민국경남환경미술대전주변관광지남가람문화거리남가람문화거리:52021-11-15
101977010198음식점삼천포다찌 봉곡1호점주요토픽1인30000원1인30000원:42021-11-04
40817004082음식점갓튀긴바삭주변관광지남강댐물문화관남강댐물문화관:32021-11-01
39887003989음식점갈쌈동왕냉면분위기조용한조용한:42021-11-01
89037008904음식점범프리카인생치킨 상대점분위기따뜻한따뜻한:22021-11-03
155657015566음식점창평돼지국밥분위기따뜻한따뜻한:42021-11-09
33457003346숙소해비치호텔분위기엔틱한엔틱한:42021-11-16
143017014302음식점조가객잔주요토픽중국요리중국요리:52021-11-09