Overview

Dataset statistics

Number of variables47
Number of observations315
Missing cells2533
Missing cells (%)17.1%
Duplicate rows2
Duplicate rows (%)0.6%
Total size in memory118.6 KiB
Average record size in memory385.4 B

Variable types

Text10
Numeric7
Boolean20
Categorical9
DateTime1

Dataset

Description전라남도 여수시 관광홈페이지 관광지 시설의 관광정보_관광정보 데이터로서 숙박시설명, 숙박시설 영문 명칭, 숙박시설 주소, 숙박시설의 위치, 숙박업소 홈페이지 주소 등을 제공합니다.
Author전라남도 여수시
URLhttps://www.data.go.kr/data/15040857/fileData.do

Alerts

숙박업소 근처 시티투어 버스 유무 has constant value ""Constant
숙박업소 연중무휴 여부 has constant value ""Constant
쿠폰 유무 has constant value ""Constant
주민 사용가능한 쿠폰 유무 has constant value ""Constant
산책 유무 has constant value ""Constant
Dataset has 2 (0.6%) duplicate rowsDuplicates
숙박 주변 주차장 정보 has a high cardinality: 51 distinct valuesHigh cardinality
숙박업소 등급 is highly imbalanced (92.9%)Imbalance
숙박업소 건물 수 is highly imbalanced (87.8%)Imbalance
성수기 날짜 합계 is highly imbalanced (77.5%)Imbalance
조식 유무 is highly imbalanced (90.1%)Imbalance
쿠폰 할인율 is highly imbalanced (55.6%)Imbalance
쿠폰 시작 날짜 is highly imbalanced (88.7%)Imbalance
주차장 요금 유무 is highly imbalanced (92.2%)Imbalance
숙박 주변 주차장 정보 is highly imbalanced (52.3%)Imbalance
장애인 시설 유무 is highly imbalanced (50.7%)Imbalance
신용카드 유무 is highly imbalanced (69.6%)Imbalance
팁 유무 is highly imbalanced (68.3%)Imbalance
핸드폰 충전 유무 is highly imbalanced (68.3%)Imbalance
아동 보육 유무 is highly imbalanced (88.2%)Imbalance
반려동물 보호 유무 is highly imbalanced (90.1%)Imbalance
근처 관광 정보 is highly imbalanced (92.2%)Imbalance
근처 쇼핑 정보 is highly imbalanced (94.4%)Imbalance
근처 외식 정보 is highly imbalanced (94.4%)Imbalance
근처 숙박 정보 is highly imbalanced (92.2%)Imbalance
시설명(영문) has 310 (98.4%) missing valuesMissing
주소 has 9 (2.9%) missing valuesMissing
주소(영문) has 57 (18.1%) missing valuesMissing
숙박위치(동서방향) has 38 (12.1%) missing valuesMissing
숙박위치(남북방향) has 38 (12.1%) missing valuesMissing
숙박업소 홈페이지 주소 has 291 (92.4%) missing valuesMissing
숙박업소 대표메뉴 has 282 (89.5%) missing valuesMissing
숙박업소 특징 has 194 (61.6%) missing valuesMissing
숙박시설의 휴무 이유 has 149 (47.3%) missing valuesMissing
쿠폰 마감 날짜 has 302 (95.9%) missing valuesMissing
쿠폰 참고사항 has 310 (98.4%) missing valuesMissing
주민 사용가능한 쿠폰 유무 has 72 (22.9%) missing valuesMissing
주차장 세부사항 has 313 (99.4%) missing valuesMissing
주차 자동차 합계 has 61 (19.4%) missing valuesMissing
주차 버스 합계 has 61 (19.4%) missing valuesMissing
숙박업소 객실 수 has 284 (90.2%) zerosZeros
숙박업소 스탠딩 수 has 162 (51.4%) zerosZeros
숙박업소 좌석 수 has 129 (41.0%) zerosZeros
주차 자동차 합계 has 165 (52.4%) zerosZeros
주차 버스 합계 has 237 (75.2%) zerosZeros

Reproduction

Analysis started2023-12-12 22:28:26.150328
Analysis finished2023-12-12 22:28:27.022846
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

숙박시설명
Text

Distinct298
Distinct (%)95.2%
Missing2
Missing (%)0.6%
Memory size2.6 KiB
2023-12-13T07:28:27.232963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length5.85623
Min length2

Characters and Unicode

Total characters1833
Distinct characters334
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique289 ?
Unique (%)92.3%

Sample

1st row오페라모텔
2nd row제우스모텔
3rd row비앤비치 관광호텔
4th row프랑스 호텔 (일반호텔)
5th row팔레스모텔
ValueCountFrequency (%)
국밥 11
 
2.4%
금수산식당 7
 
1.5%
여수 7
 
1.5%
식당 6
 
1.3%
횟집 4
 
0.9%
무선점 3
 
0.7%
팬션 3
 
0.7%
내가 3
 
0.7%
조선의 3
 
0.7%
3
 
0.7%
Other values (377) 410
89.1%
2023-12-13T07:28:27.671861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
148
 
8.1%
식 61
 
3.3%
당 59
 
3.2%
수 40
 
2.2%
국 33
 
1.8%
가 31
 
1.7%
이 29
 
1.6%
밥 29
 
1.6%
리 29
 
1.6%
여 29
 
1.6%
Other values (324) 1345
73.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1633
89.1%
Space Separator 148
 
8.1%
Open Punctuation 13
 
0.7%
Close Punctuation 13
 
0.7%
Uppercase Letter 12
 
0.7%
Other Punctuation 8
 
0.4%
Lowercase Letter 3
 
0.2%
Decimal Number 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 61
 
3.7%
당 59
 
3.6%
수 40
 
2.4%
국 33
 
2.0%
가 31
 
1.9%
이 29
 
1.8%
밥 29
 
1.8%
리 29
 
1.8%
여 29
 
1.8%
집 25
 
1.5%
Other values (305) 1268
77.6%
Uppercase Letter
ValueCountFrequency (%)
B 2
16.7%
M 2
16.7%
H 2
16.7%
S 2
16.7%
L 1
8.3%
K 1
8.3%
A 1
8.3%
X 1
8.3%
Other Punctuation
ValueCountFrequency (%)
. 3
37.5%
& 3
37.5%
" 2
25.0%
Decimal Number
ValueCountFrequency (%)
5 1
33.3%
3 1
33.3%
2 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
e 2
66.7%
r 1
33.3%
Space Separator
ValueCountFrequency (%)
148
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1631
89.0%
Common 185
 
10.1%
Latin 15
 
0.8%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 61
 
3.7%
당 59
 
3.6%
수 40
 
2.5%
국 33
 
2.0%
가 31
 
1.9%
이 29
 
1.8%
밥 29
 
1.8%
리 29
 
1.8%
여 29
 
1.8%
집 25
 
1.5%
Other values (303) 1266
77.6%
Latin
ValueCountFrequency (%)
B 2
13.3%
M 2
13.3%
e 2
13.3%
H 2
13.3%
S 2
13.3%
L 1
6.7%
r 1
6.7%
K 1
6.7%
A 1
6.7%
X 1
6.7%
Common
ValueCountFrequency (%)
148
80.0%
( 13
 
7.0%
) 13
 
7.0%
. 3
 
1.6%
& 3
 
1.6%
" 2
 
1.1%
5 1
 
0.5%
3 1
 
0.5%
2 1
 
0.5%
Han
ValueCountFrequency (%)
福 1
50.0%
家 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1631
89.0%
ASCII 200
 
10.9%
CJK 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
148
74.0%
( 13
 
6.5%
) 13
 
6.5%
. 3
 
1.5%
& 3
 
1.5%
B 2
 
1.0%
M 2
 
1.0%
" 2
 
1.0%
e 2
 
1.0%
H 2
 
1.0%
Other values (9) 10
 
5.0%
Hangul
ValueCountFrequency (%)
식 61
 
3.7%
당 59
 
3.6%
수 40
 
2.5%
국 33
 
2.0%
가 31
 
1.9%
이 29
 
1.8%
밥 29
 
1.8%
리 29
 
1.8%
여 29
 
1.8%
집 25
 
1.5%
Other values (303) 1266
77.6%
CJK
ValueCountFrequency (%)
福 1
50.0%
家 1
50.0%

시설명(영문)
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing310
Missing (%)98.4%
Memory size2.6 KiB
2023-12-13T07:28:27.806322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length11
Mean length12.2
Min length8

Characters and Unicode

Total characters61
Distinct characters24
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st rowOpera Motel
2nd rowB&Beach Tourist Hotel
3rd rowFrance Motel
4th rowmk Motel
5th rowGeumsusan
ValueCountFrequency (%)
motel 3
30.0%
opera 1
 
10.0%
b&beach 1
 
10.0%
tourist 1
 
10.0%
hotel 1
 
10.0%
france 1
 
10.0%
mk 1
 
10.0%
geumsusan 1
 
10.0%
2023-12-13T07:28:28.039449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 8
13.1%
t 5
 
8.2%
5
 
8.2%
o 5
 
8.2%
a 4
 
6.6%
l 4
 
6.6%
r 3
 
4.9%
M 3
 
4.9%
s 3
 
4.9%
u 3
 
4.9%
Other values (14) 18
29.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 45
73.8%
Uppercase Letter 10
 
16.4%
Space Separator 5
 
8.2%
Other Punctuation 1
 
1.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 8
17.8%
t 5
11.1%
o 5
11.1%
a 4
8.9%
l 4
8.9%
r 3
 
6.7%
s 3
 
6.7%
u 3
 
6.7%
m 2
 
4.4%
n 2
 
4.4%
Other values (5) 6
13.3%
Uppercase Letter
ValueCountFrequency (%)
M 3
30.0%
B 2
20.0%
F 1
 
10.0%
H 1
 
10.0%
O 1
 
10.0%
T 1
 
10.0%
G 1
 
10.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 55
90.2%
Common 6
 
9.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 8
14.5%
t 5
 
9.1%
o 5
 
9.1%
a 4
 
7.3%
l 4
 
7.3%
r 3
 
5.5%
M 3
 
5.5%
s 3
 
5.5%
u 3
 
5.5%
m 2
 
3.6%
Other values (12) 15
27.3%
Common
ValueCountFrequency (%)
5
83.3%
& 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 61
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 8
13.1%
t 5
 
8.2%
5
 
8.2%
o 5
 
8.2%
a 4
 
6.6%
l 4
 
6.6%
r 3
 
4.9%
M 3
 
4.9%
s 3
 
4.9%
u 3
 
4.9%
Other values (14) 18
29.5%

주소
Text

MISSING 

Distinct280
Distinct (%)91.5%
Missing9
Missing (%)2.9%
Memory size2.6 KiB
2023-12-13T07:28:28.336971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length16.153595
Min length7

Characters and Unicode

Total characters4943
Distinct characters128
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique260 ?
Unique (%)85.0%

Sample

1st row전라남도 여수시 돌산읍 강남1길 39-17
2nd row전라남도 여수시 봉산남7길 13
3rd row전라남도 여수시 시청서6길 25
4th row전라남도 여수시 시청서6길 23
5th row전라남도 여수시 봉산남5길 8
ValueCountFrequency (%)
여수시 298
24.8%
전라남도 260
21.6%
전남 37
 
3.1%
돌산읍 24
 
2.0%
화산로 8
 
0.7%
14 8
 
0.7%
여문문화길 8
 
0.7%
8 7
 
0.6%
소호로 7
 
0.6%
소라면 6
 
0.5%
Other values (346) 538
44.8%
2023-12-13T07:28:28.827022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
896
18.1%
여 329
 
6.7%
시 327
 
6.6%
남 326
 
6.6%
수 314
 
6.4%
전 299
 
6.0%
도 269
 
5.4%
라 266
 
5.4%
1 178
 
3.6%
길 153
 
3.1%
Other values (118) 1586
32.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3189
64.5%
Space Separator 896
 
18.1%
Decimal Number 770
 
15.6%
Dash Punctuation 88
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
여 329
10.3%
시 327
10.3%
남 326
10.2%
수 314
9.8%
전 299
9.4%
도 269
 
8.4%
라 266
 
8.3%
길 153
 
4.8%
로 105
 
3.3%
동 73
 
2.3%
Other values (106) 728
22.8%
Decimal Number
ValueCountFrequency (%)
1 178
23.1%
2 117
15.2%
3 102
13.2%
4 74
9.6%
5 69
 
9.0%
6 56
 
7.3%
8 47
 
6.1%
7 47
 
6.1%
9 41
 
5.3%
0 39
 
5.1%
Space Separator
ValueCountFrequency (%)
896
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3189
64.5%
Common 1754
35.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
여 329
10.3%
시 327
10.3%
남 326
10.2%
수 314
9.8%
전 299
9.4%
도 269
 
8.4%
라 266
 
8.3%
길 153
 
4.8%
로 105
 
3.3%
동 73
 
2.3%
Other values (106) 728
22.8%
Common
ValueCountFrequency (%)
896
51.1%
1 178
 
10.1%
2 117
 
6.7%
3 102
 
5.8%
- 88
 
5.0%
4 74
 
4.2%
5 69
 
3.9%
6 56
 
3.2%
8 47
 
2.7%
7 47
 
2.7%
Other values (2) 80
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3189
64.5%
ASCII 1754
35.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
896
51.1%
1 178
 
10.1%
2 117
 
6.7%
3 102
 
5.8%
- 88
 
5.0%
4 74
 
4.2%
5 69
 
3.9%
6 56
 
3.2%
8 47
 
2.7%
7 47
 
2.7%
Other values (2) 80
 
4.6%
Hangul
ValueCountFrequency (%)
여 329
10.3%
시 327
10.3%
남 326
10.2%
수 314
9.8%
전 299
9.4%
도 269
 
8.4%
라 266
 
8.3%
길 153
 
4.8%
로 105
 
3.3%
동 73
 
2.3%
Other values (106) 728
22.8%

주소(영문)
Text

MISSING 

Distinct250
Distinct (%)96.9%
Missing57
Missing (%)18.1%
Memory size2.6 KiB
2023-12-13T07:28:29.198398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length53
Mean length43.003876
Min length36

Characters and Unicode

Total characters11095
Distinct characters51
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique243 ?
Unique (%)94.2%

Sample

1st row39-17, Gangnam 1-gil Dolsan-eup, Yeosu-si, Jeollanam-do
2nd row13, Bongsannam 7-gil, Yeosu-si, Jeollanam-do
3rd row25, Sicheongseo 6-gil, Yeosu-si, Jeollanam-do
4th row23, Sicheongseo 6-gil, Yeosu-si, Jeollanam-do
5th row8, Bongsannam 5-gil, Yeosu-si, Jeollanam-do
ValueCountFrequency (%)
yeosu-si 257
21.4%
jeollanam-do 257
21.4%
1-gil 35
 
2.9%
3-gil 28
 
2.3%
dolsan-eup 20
 
1.7%
2-gil 18
 
1.5%
5-gil 18
 
1.5%
sicheongseo 14
 
1.2%
4-gil 10
 
0.8%
bongsannam 9
 
0.7%
Other values (280) 536
44.6%
2023-12-13T07:28:29.687547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 1184
 
10.7%
944
 
8.5%
- 892
 
8.0%
, 797
 
7.2%
a 731
 
6.6%
e 720
 
6.5%
l 702
 
6.3%
s 653
 
5.9%
n 647
 
5.8%
i 477
 
4.3%
Other values (41) 3348
30.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6888
62.1%
Space Separator 944
 
8.5%
Dash Punctuation 892
 
8.0%
Uppercase Letter 804
 
7.2%
Other Punctuation 797
 
7.2%
Decimal Number 770
 
6.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1184
17.2%
a 731
10.6%
e 720
10.5%
l 702
10.2%
s 653
9.5%
n 647
9.4%
i 477
6.9%
u 383
 
5.6%
g 372
 
5.4%
m 357
 
5.2%
Other values (11) 662
9.6%
Uppercase Letter
ValueCountFrequency (%)
Y 296
36.8%
J 277
34.5%
S 66
 
8.2%
D 37
 
4.6%
H 31
 
3.9%
M 27
 
3.4%
B 22
 
2.7%
G 16
 
2.0%
U 8
 
1.0%
O 5
 
0.6%
Other values (7) 19
 
2.4%
Decimal Number
ValueCountFrequency (%)
1 178
23.1%
2 117
15.2%
3 102
13.2%
4 74
9.6%
5 69
 
9.0%
6 56
 
7.3%
7 47
 
6.1%
8 47
 
6.1%
9 41
 
5.3%
0 39
 
5.1%
Space Separator
ValueCountFrequency (%)
944
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 892
100.0%
Other Punctuation
ValueCountFrequency (%)
, 797
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7692
69.3%
Common 3403
30.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 1184
15.4%
a 731
9.5%
e 720
9.4%
l 702
9.1%
s 653
8.5%
n 647
8.4%
i 477
 
6.2%
u 383
 
5.0%
g 372
 
4.8%
m 357
 
4.6%
Other values (28) 1466
19.1%
Common
ValueCountFrequency (%)
944
27.7%
- 892
26.2%
, 797
23.4%
1 178
 
5.2%
2 117
 
3.4%
3 102
 
3.0%
4 74
 
2.2%
5 69
 
2.0%
6 56
 
1.6%
7 47
 
1.4%
Other values (3) 127
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11095
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 1184
 
10.7%
944
 
8.5%
- 892
 
8.0%
, 797
 
7.2%
a 731
 
6.6%
e 720
 
6.5%
l 702
 
6.3%
s 653
 
5.9%
n 647
 
5.8%
i 477
 
4.3%
Other values (41) 3348
30.2%

숙박위치(동서방향)
Real number (ℝ)

MISSING 

Distinct266
Distinct (%)96.0%
Missing38
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean126.76898
Minimum0.007255049
Maximum127.95937
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-13T07:28:29.851890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.007255049
5-th percentile127.64102
Q1127.65738
median127.69845
Q3127.724
95-th percentile127.75422
Maximum127.95937
Range127.95212
Interquartile range (IQR)0.0666232

Descriptive statistics

Standard deviation10.830029
Coefficient of variation (CV)0.085431223
Kurtosis135.96125
Mean126.76898
Median Absolute Deviation (MAD)0.0344403
Skewness-11.703622
Sum35115.008
Variance117.28953
MonotonicityNot monotonic
2023-12-13T07:28:30.326330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.7227234 3
 
1.0%
127.7302753 2
 
0.6%
127.6623313 2
 
0.6%
127.6771016 2
 
0.6%
127.7411324 2
 
0.6%
127.7072548 2
 
0.6%
127.7001737 2
 
0.6%
127.7029388 2
 
0.6%
127.6592709 2
 
0.6%
0.007255049 2
 
0.6%
Other values (256) 256
81.3%
(Missing) 38
 
12.1%
ValueCountFrequency (%)
0.007255049 2
0.6%
126.9200547 1
0.3%
127.5375916 1
0.3%
127.5791961 1
0.3%
127.5932847 1
0.3%
127.5996188 1
0.3%
127.6107341 1
0.3%
127.6210745 1
0.3%
127.6282257 1
0.3%
127.6359391 1
0.3%
ValueCountFrequency (%)
127.9593734 1
0.3%
127.7896839 1
0.3%
127.7884797 1
0.3%
127.787406 1
0.3%
127.7867212 1
0.3%
127.7834788 1
0.3%
127.7822707 1
0.3%
127.7673149 1
0.3%
127.7669084 1
0.3%
127.7664962 1
0.3%

숙박위치(남북방향)
Real number (ℝ)

MISSING 

Distinct266
Distinct (%)96.0%
Missing38
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean35.182355
Minimum0.008913733
Maximum127.69656
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-13T07:28:30.486357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.008913733
5-th percentile34.711891
Q134.740758
median34.753087
Q334.76156
95-th percentile34.786596
Maximum127.69656
Range127.68765
Interquartile range (IQR)0.02080252

Descriptive statistics

Standard deviation8.4377215
Coefficient of variation (CV)0.23982822
Kurtosis106.23085
Mean35.182355
Median Absolute Deviation (MAD)0.01106911
Skewness9.0921788
Sum9745.5122
Variance71.195144
MonotonicityNot monotonic
2023-12-13T07:28:30.650434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.73188355 3
 
1.0%
34.74089575 2
 
0.6%
34.76040106 2
 
0.6%
34.7501124 2
 
0.6%
34.72801591 2
 
0.6%
127.6965602 2
 
0.6%
34.74783661 2
 
0.6%
34.7529983 2
 
0.6%
34.75683732 2
 
0.6%
0.008913733 2
 
0.6%
Other values (256) 256
81.3%
(Missing) 38
 
12.1%
ValueCountFrequency (%)
0.008913733 2
0.6%
34.50956767 1
0.3%
34.592827 1
0.3%
34.60657789 1
0.3%
34.60659511 1
0.3%
34.60853162 1
0.3%
34.61659612 1
0.3%
34.62136319 1
0.3%
34.6459868 1
0.3%
34.65941869 1
0.3%
ValueCountFrequency (%)
127.6965602 2
0.6%
37.76474234 1
0.3%
35.15859563 1
0.3%
34.88803486 1
0.3%
34.88204799 1
0.3%
34.88177753 1
0.3%
34.88021 1
0.3%
34.8799229 1
0.3%
34.84099591 1
0.3%
34.80755901 1
0.3%

숙박업소 홈페이지 주소
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing291
Missing (%)92.4%
Memory size2.6 KiB
2023-12-13T07:28:30.895593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length21
Mean length15.916667
Min length1

Characters and Unicode

Total characters382
Distinct characters102
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st rowwww.motelopera.com
2nd rowwww.bnbeach.com
3rd row프랑스모텔.kr
4th rowwww.haery.co.kr/
5th rowwww.kbs1.kr/h/haejilyeok
ValueCountFrequency (%)
2
 
5.6%
3333 1
 
2.8%
yesu.tos_official(인스타그램 1
 
2.8%
페이스북 1
 
2.8%
인스타그램(석산정꺼먹돼지 1
 
2.8%
네이버 1
 
2.8%
돌산회명가 1
 
2.8%
유투버 1
 
2.8%
역수 1
 
2.8%
황금코다리 1
 
2.8%
Other values (25) 25
69.4%
2023-12-13T07:28:31.267249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 31
 
8.1%
. 29
 
7.6%
o 20
 
5.2%
e 17
 
4.5%
a 13
 
3.4%
12
 
3.1%
r 12
 
3.1%
c 11
 
2.9%
t 10
 
2.6%
k 10
 
2.6%
Other values (92) 217
56.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 199
52.1%
Other Letter 78
 
20.4%
Other Punctuation 43
 
11.3%
Decimal Number 35
 
9.2%
Space Separator 12
 
3.1%
Dash Punctuation 4
 
1.0%
Uppercase Letter 4
 
1.0%
Close Punctuation 2
 
0.5%
Open Punctuation 2
 
0.5%
Math Symbol 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 5
 
6.4%
그 4
 
5.1%
이 3
 
3.8%
버 3
 
3.8%
타 3
 
3.8%
인 3
 
3.8%
가 3
 
3.8%
램 3
 
3.8%
산 2
 
2.6%
수 2
 
2.6%
Other values (43) 47
60.3%
Lowercase Letter
ValueCountFrequency (%)
w 31
15.6%
o 20
 
10.1%
e 17
 
8.5%
a 13
 
6.5%
r 12
 
6.0%
c 11
 
5.5%
t 10
 
5.0%
k 10
 
5.0%
s 9
 
4.5%
h 9
 
4.5%
Other values (14) 57
28.6%
Decimal Number
ValueCountFrequency (%)
3 6
17.1%
6 6
17.1%
1 5
14.3%
0 5
14.3%
2 4
11.4%
4 3
8.6%
7 3
8.6%
5 2
 
5.7%
8 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 29
67.4%
/ 9
 
20.9%
; 1
 
2.3%
? 1
 
2.3%
: 1
 
2.3%
, 1
 
2.3%
& 1
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
P 2
50.0%
C 1
25.0%
M 1
25.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Math Symbol
ValueCountFrequency (%)
= 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 203
53.1%
Common 101
26.4%
Hangul 78
 
20.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 5
 
6.4%
그 4
 
5.1%
이 3
 
3.8%
버 3
 
3.8%
타 3
 
3.8%
인 3
 
3.8%
가 3
 
3.8%
램 3
 
3.8%
산 2
 
2.6%
수 2
 
2.6%
Other values (43) 47
60.3%
Latin
ValueCountFrequency (%)
w 31
15.3%
o 20
 
9.9%
e 17
 
8.4%
a 13
 
6.4%
r 12
 
5.9%
c 11
 
5.4%
t 10
 
4.9%
k 10
 
4.9%
s 9
 
4.4%
h 9
 
4.4%
Other values (17) 61
30.0%
Common
ValueCountFrequency (%)
. 29
28.7%
12
11.9%
/ 9
 
8.9%
3 6
 
5.9%
6 6
 
5.9%
1 5
 
5.0%
0 5
 
5.0%
2 4
 
4.0%
- 4
 
4.0%
4 3
 
3.0%
Other values (12) 18
17.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 304
79.6%
Hangul 78
 
20.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 31
 
10.2%
. 29
 
9.5%
o 20
 
6.6%
e 17
 
5.6%
a 13
 
4.3%
12
 
3.9%
r 12
 
3.9%
c 11
 
3.6%
t 10
 
3.3%
k 10
 
3.3%
Other values (39) 139
45.7%
Hangul
ValueCountFrequency (%)
스 5
 
6.4%
그 4
 
5.1%
이 3
 
3.8%
버 3
 
3.8%
타 3
 
3.8%
인 3
 
3.8%
가 3
 
3.8%
램 3
 
3.8%
산 2
 
2.6%
수 2
 
2.6%
Other values (43) 47
60.3%

숙박업소 근처 시티투어 버스 유무
Boolean

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing2
Missing (%)0.6%
Memory size762.0 B
False
313 
(Missing)
 
2
ValueCountFrequency (%)
False 313
99.4%
(Missing) 2
 
0.6%
2023-12-13T07:28:31.396802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

숙박업소 등급
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
310 
2
 
2
1
 
2
3
 
1

Length

Max length4
Median length4
Mean length3.952381
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 310
98.4%
2 2
 
0.6%
1 2
 
0.6%
3 1
 
0.3%

Length

2023-12-13T07:28:31.495531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:28:31.609793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 310
98.4%
2 2
 
0.6%
1 2
 
0.6%
3 1
 
0.3%

숙박업소 건물 수
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
0
303 
1
 
5
2
 
2
3
 
2
<NA>
 
2

Length

Max length4
Median length1
Mean length1.0222222
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 303
96.2%
1 5
 
1.6%
2 2
 
0.6%
3 2
 
0.6%
<NA> 2
 
0.6%
11 1
 
0.3%

Length

2023-12-13T07:28:31.714514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:28:31.841830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 303
96.2%
1 5
 
1.6%
2 2
 
0.6%
3 2
 
0.6%
na 2
 
0.6%
11 1
 
0.3%

숙박업소 객실 수
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)7.3%
Missing2
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean5.6805112
Minimum0
Maximum500
Zeros284
Zeros (%)90.2%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-13T07:28:31.959872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9.4
Maximum500
Range500
Interquartile range (IQR)0

Descriptive statistics

Standard deviation37.762757
Coefficient of variation (CV)6.6477744
Kurtosis117.75567
Mean5.6805112
Median Absolute Deviation (MAD)0
Skewness10.231549
Sum1778
Variance1426.0258
MonotonicityNot monotonic
2023-12-13T07:28:32.115547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 284
90.2%
100 3
 
1.0%
3 2
 
0.6%
2 2
 
0.6%
5 2
 
0.6%
1 2
 
0.6%
6 2
 
0.6%
4 1
 
0.3%
41 1
 
0.3%
500 1
 
0.3%
Other values (13) 13
 
4.1%
(Missing) 2
 
0.6%
ValueCountFrequency (%)
0 284
90.2%
1 2
 
0.6%
2 2
 
0.6%
3 2
 
0.6%
4 1
 
0.3%
5 2
 
0.6%
6 2
 
0.6%
7 1
 
0.3%
9 1
 
0.3%
10 1
 
0.3%
ValueCountFrequency (%)
500 1
 
0.3%
350 1
 
0.3%
190 1
 
0.3%
100 3
1.0%
58 1
 
0.3%
45 1
 
0.3%
44 1
 
0.3%
43 1
 
0.3%
41 1
 
0.3%
40 1
 
0.3%

숙박업소 스탠딩 수
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)10.2%
Missing2
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean21.086262
Minimum0
Maximum400
Zeros162
Zeros (%)51.4%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-13T07:28:32.240054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q332
95-th percentile76
Maximum400
Range400
Interquartile range (IQR)32

Descriptive statistics

Standard deviation35.298392
Coefficient of variation (CV)1.6739995
Kurtosis42.487026
Mean21.086262
Median Absolute Deviation (MAD)0
Skewness4.7202928
Sum6600
Variance1245.9765
MonotonicityNot monotonic
2023-12-13T07:28:32.401502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 162
51.4%
24 14
 
4.4%
32 12
 
3.8%
12 11
 
3.5%
16 10
 
3.2%
40 9
 
2.9%
20 8
 
2.5%
56 7
 
2.2%
64 7
 
2.2%
28 7
 
2.2%
Other values (22) 66
21.0%
ValueCountFrequency (%)
0 162
51.4%
1 1
 
0.3%
3 1
 
0.3%
4 4
 
1.3%
6 2
 
0.6%
8 2
 
0.6%
12 11
 
3.5%
16 10
 
3.2%
20 8
 
2.5%
24 14
 
4.4%
ValueCountFrequency (%)
400 1
 
0.3%
160 1
 
0.3%
120 2
0.6%
104 2
0.6%
100 3
1.0%
84 1
 
0.3%
80 4
1.3%
76 4
1.3%
72 4
1.3%
68 4
1.3%

숙박업소 좌석 수
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)16.0%
Missing2
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean27.405751
Minimum0
Maximum350
Zeros129
Zeros (%)41.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-13T07:28:32.537846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median20
Q340
95-th percentile95.2
Maximum350
Range350
Interquartile range (IQR)40

Descriptive statistics

Standard deviation37.290417
Coefficient of variation (CV)1.3606786
Kurtosis19.243817
Mean27.405751
Median Absolute Deviation (MAD)20
Skewness3.18209
Sum8578
Variance1390.5752
MonotonicityNot monotonic
2023-12-13T07:28:32.692305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 129
41.0%
32 18
 
5.7%
40 17
 
5.4%
24 16
 
5.1%
16 12
 
3.8%
28 12
 
3.8%
48 10
 
3.2%
52 10
 
3.2%
20 9
 
2.9%
56 9
 
2.9%
Other values (40) 71
22.5%
ValueCountFrequency (%)
0 129
41.0%
1 1
 
0.3%
3 1
 
0.3%
4 2
 
0.6%
5 1
 
0.3%
8 1
 
0.3%
11 1
 
0.3%
12 4
 
1.3%
16 12
 
3.8%
18 1
 
0.3%
ValueCountFrequency (%)
350 1
 
0.3%
200 1
 
0.3%
160 1
 
0.3%
140 1
 
0.3%
136 1
 
0.3%
128 1
 
0.3%
124 1
 
0.3%
120 3
1.0%
116 1
 
0.3%
108 1
 
0.3%

숙박업소 대표메뉴
Text

MISSING 

Distinct23
Distinct (%)69.7%
Missing282
Missing (%)89.5%
Memory size2.6 KiB
2023-12-13T07:28:32.884149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length3
Mean length4.0606061
Min length3

Characters and Unicode

Total characters134
Distinct characters56
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)48.5%

Sample

1st row부대찌개
2nd row선어회
3rd row추어탕
4th row소갈비
5th row추어탕
ValueCountFrequency (%)
추어탕 4
 
10.8%
선어회 3
 
8.1%
소갈비 2
 
5.4%
김치찜 2
 
5.4%
삼겹살 2
 
5.4%
돼지갈비 2
 
5.4%
부대찌개 2
 
5.4%
고등어조림 1
 
2.7%
닭도리탕 1
 
2.7%
메기매운탕 1
 
2.7%
Other values (17) 17
45.9%
2023-12-13T07:28:33.228420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
어 10
 
7.5%
탕 8
 
6.0%
비 7
 
5.2%
갈 6
 
4.5%
개 5
 
3.7%
추 4
 
3.0%
장 4
 
3.0%
찌 4
 
3.0%
4
 
3.0%
조 4
 
3.0%
Other values (46) 78
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 128
95.5%
Space Separator 4
 
3.0%
Other Punctuation 2
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
어 10
 
7.8%
탕 8
 
6.2%
비 7
 
5.5%
갈 6
 
4.7%
개 5
 
3.9%
추 4
 
3.1%
장 4
 
3.1%
찌 4
 
3.1%
조 4
 
3.1%
치 4
 
3.1%
Other values (44) 72
56.2%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 128
95.5%
Common 6
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
어 10
 
7.8%
탕 8
 
6.2%
비 7
 
5.5%
갈 6
 
4.7%
개 5
 
3.9%
추 4
 
3.1%
장 4
 
3.1%
찌 4
 
3.1%
조 4
 
3.1%
치 4
 
3.1%
Other values (44) 72
56.2%
Common
ValueCountFrequency (%)
4
66.7%
, 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 128
95.5%
ASCII 6
 
4.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
어 10
 
7.8%
탕 8
 
6.2%
비 7
 
5.5%
갈 6
 
4.7%
개 5
 
3.9%
추 4
 
3.1%
장 4
 
3.1%
찌 4
 
3.1%
조 4
 
3.1%
치 4
 
3.1%
Other values (44) 72
56.2%
ASCII
ValueCountFrequency (%)
4
66.7%
, 2
33.3%

숙박업소 특징
Text

MISSING 

Distinct66
Distinct (%)54.5%
Missing194
Missing (%)61.6%
Memory size2.6 KiB
2023-12-13T07:28:33.380968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length3
Mean length8.6363636
Min length2

Characters and Unicode

Total characters1045
Distinct characters186
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)42.1%

Sample

1st row여수,돌산청사,오페라모텔,장애인 편의 시설
2nd row관광호텔, 숙박, 비앤비치 관광호텔
3rd row여수,학동,프랑스모텔
4th rowMK모텔
5th row가사리펜션,가사리,꽃님이네펜션
ValueCountFrequency (%)
화장동 11
 
8.6%
학동 8
 
6.2%
선원동 7
 
5.5%
문수동 6
 
4.7%
여서동 6
 
4.7%
미평동 5
 
3.9%
돌산읍 5
 
3.9%
안산동 4
 
3.1%
웅천동 4
 
3.1%
신기동 3
 
2.3%
Other values (62) 69
53.9%
2023-12-13T07:28:33.664103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 143
 
13.7%
동 82
 
7.8%
장 28
 
2.7%
수 21
 
2.0%
리 20
 
1.9%
탕 18
 
1.7%
살 16
 
1.5%
기 16
 
1.5%
산 15
 
1.4%
오 15
 
1.4%
Other values (176) 671
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 869
83.2%
Other Punctuation 143
 
13.7%
Decimal Number 22
 
2.1%
Space Separator 8
 
0.8%
Uppercase Letter 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 82
 
9.4%
장 28
 
3.2%
수 21
 
2.4%
리 20
 
2.3%
탕 18
 
2.1%
살 16
 
1.8%
기 16
 
1.8%
산 15
 
1.7%
오 15
 
1.7%
갈 14
 
1.6%
Other values (164) 624
71.8%
Decimal Number
ValueCountFrequency (%)
1 7
31.8%
2 4
18.2%
3 4
18.2%
4 3
13.6%
0 2
 
9.1%
6 1
 
4.5%
5 1
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
F 1
33.3%
K 1
33.3%
M 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 143
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 869
83.2%
Common 173
 
16.6%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 82
 
9.4%
장 28
 
3.2%
수 21
 
2.4%
리 20
 
2.3%
탕 18
 
2.1%
살 16
 
1.8%
기 16
 
1.8%
산 15
 
1.7%
오 15
 
1.7%
갈 14
 
1.6%
Other values (164) 624
71.8%
Common
ValueCountFrequency (%)
, 143
82.7%
8
 
4.6%
1 7
 
4.0%
2 4
 
2.3%
3 4
 
2.3%
4 3
 
1.7%
0 2
 
1.2%
6 1
 
0.6%
5 1
 
0.6%
Latin
ValueCountFrequency (%)
F 1
33.3%
K 1
33.3%
M 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 869
83.2%
ASCII 176
 
16.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 143
81.2%
8
 
4.5%
1 7
 
4.0%
2 4
 
2.3%
3 4
 
2.3%
4 3
 
1.7%
0 2
 
1.1%
F 1
 
0.6%
6 1
 
0.6%
5 1
 
0.6%
Other values (2) 2
 
1.1%
Hangul
ValueCountFrequency (%)
동 82
 
9.4%
장 28
 
3.2%
수 21
 
2.4%
리 20
 
2.3%
탕 18
 
2.1%
살 16
 
1.8%
기 16
 
1.8%
산 15
 
1.7%
오 15
 
1.7%
갈 14
 
1.6%
Other values (164) 624
71.8%

숙박업소 연중무휴 여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing2
Missing (%)0.6%
Memory size762.0 B
False
313 
(Missing)
 
2
ValueCountFrequency (%)
False 313
99.4%
(Missing) 2
 
0.6%
2023-12-13T07:28:33.759398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

숙박업소 오픈 시간
Categorical

Distinct25
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
11:00
55 
<NA>
48 
11:30
33 
10:00
31 
09:00
18 
Other values (20)
130 

Length

Max length5
Median length5
Mean length4.847619
Min length4

Unique

Unique5 ?
Unique (%)1.6%

Sample

1st row14:00
2nd row12:00
3rd row14:00
4th row15:00
5th row12:00

Common Values

ValueCountFrequency (%)
11:00 55
17.5%
<NA> 48
15.2%
11:30 33
10.5%
10:00 31
9.8%
09:00 18
 
5.7%
12:00 17
 
5.4%
06:00 15
 
4.8%
17:00 13
 
4.1%
07:00 11
 
3.5%
14:00 11
 
3.5%
Other values (15) 63
20.0%

Length

2023-12-13T07:28:33.847319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
11:00 55
17.5%
na 48
15.2%
11:30 33
10.5%
10:00 31
9.8%
09:00 18
 
5.7%
12:00 17
 
5.4%
06:00 15
 
4.8%
17:00 13
 
4.1%
07:00 11
 
3.5%
14:00 11
 
3.5%
Other values (15) 63
20.0%

숙박업소 종료 시간
Categorical

Distinct28
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
22:00
78 
21:00
61 
<NA>
48 
21:30
19 
20:00
17 
Other values (23)
92 

Length

Max length5
Median length5
Mean length4.847619
Min length4

Unique

Unique10 ?
Unique (%)3.2%

Sample

1st row12:00
2nd row12:00
3rd row12:00
4th row12:00
5th row12:00

Common Values

ValueCountFrequency (%)
22:00 78
24.8%
21:00 61
19.4%
<NA> 48
15.2%
21:30 19
 
6.0%
20:00 17
 
5.4%
20:30 13
 
4.1%
12:00 12
 
3.8%
00:00 12
 
3.8%
23:00 12
 
3.8%
01:00 7
 
2.2%
Other values (18) 36
11.4%

Length

2023-12-13T07:28:33.969001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
22:00 78
24.8%
21:00 61
19.4%
na 48
15.2%
21:30 19
 
6.0%
20:00 17
 
5.4%
20:30 13
 
4.1%
12:00 12
 
3.8%
00:00 12
 
3.8%
23:00 12
 
3.8%
01:00 7
 
2.2%
Other values (18) 36
11.4%

성수기 날짜 합계
Categorical

IMBALANCE 

Distinct16
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
278 
0|0|0|0
 
13
6|1|8|1
 
5
7|1|8|30
 
4
7|20|8|15
 
2
Other values (11)
 
13

Length

Max length9
Median length4
Mean length4.4253968
Min length4

Unique

Unique9 ?
Unique (%)2.9%

Sample

1st row7|21|8|15
2nd row7|1|8|30
3rd row7|1|8|15
4th row7|1|8|30
5th row7|1|8|30

Common Values

ValueCountFrequency (%)
<NA> 278
88.3%
0|0|0|0 13
 
4.1%
6|1|8|1 5
 
1.6%
7|1|8|30 4
 
1.3%
7|20|8|15 2
 
0.6%
7|1|8|1 2
 
0.6%
1|1|1|1 2
 
0.6%
7|21|8|15 1
 
0.3%
7|1|8|15 1
 
0.3%
7|20|8|20 1
 
0.3%
Other values (6) 6
 
1.9%

Length

2023-12-13T07:28:34.072162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 278
88.3%
0|0|0|0 13
 
4.1%
6|1|8|1 5
 
1.6%
7|1|8|30 4
 
1.3%
7|20|8|15 2
 
0.6%
7|1|8|1 2
 
0.6%
1|1|1|1 2
 
0.6%
7|21|8|15 1
 
0.3%
7|1|8|15 1
 
0.3%
7|20|8|20 1
 
0.3%
Other values (6) 6
 
1.9%

숙박시설의 휴무 이유
Text

MISSING 

Distinct100
Distinct (%)60.2%
Missing149
Missing (%)47.3%
Memory size2.6 KiB
2023-12-13T07:28:34.292437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length29
Mean length10.409639
Min length3

Characters and Unicode

Total characters1728
Distinct characters88
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)52.4%

Sample

1st row근로자의날
2nd row한달 두번, 정해지지 않음
3rd row명절 전날,당일휴무
4th row네번째 수요일
5th row매주 일요일
ValueCountFrequency (%)
휴무 80
16.4%
일요일 77
15.8%
매주 66
13.5%
따라 25
 
5.1%
상황에 23
 
4.7%
명절 15
 
3.1%
당일 14
 
2.9%
월요일 12
 
2.5%
첫째,셋째 12
 
2.5%
첫째 10
 
2.0%
Other values (72) 154
31.6%
2023-12-13T07:28:34.654752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
324
18.8%
일 243
14.1%
요 129
 
7.5%
휴 97
 
5.6%
무 96
 
5.6%
주 94
 
5.4%
째 93
 
5.4%
매 80
 
4.6%
, 63
 
3.6%
절 32
 
1.9%
Other values (78) 477
27.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1321
76.4%
Space Separator 324
 
18.8%
Other Punctuation 64
 
3.7%
Decimal Number 16
 
0.9%
Math Symbol 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 243
18.4%
요 129
 
9.8%
휴 97
 
7.3%
무 96
 
7.3%
주 94
 
7.1%
째 93
 
7.0%
매 80
 
6.1%
절 32
 
2.4%
명 32
 
2.4%
월 30
 
2.3%
Other values (67) 395
29.9%
Decimal Number
ValueCountFrequency (%)
1 5
31.2%
3 4
25.0%
2 2
 
12.5%
7 2
 
12.5%
8 1
 
6.2%
0 1
 
6.2%
6 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 63
98.4%
/ 1
 
1.6%
Space Separator
ValueCountFrequency (%)
324
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1321
76.4%
Common 407
 
23.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 243
18.4%
요 129
 
9.8%
휴 97
 
7.3%
무 96
 
7.3%
주 94
 
7.1%
째 93
 
7.0%
매 80
 
6.1%
절 32
 
2.4%
명 32
 
2.4%
월 30
 
2.3%
Other values (67) 395
29.9%
Common
ValueCountFrequency (%)
324
79.6%
, 63
 
15.5%
1 5
 
1.2%
3 4
 
1.0%
~ 3
 
0.7%
2 2
 
0.5%
7 2
 
0.5%
8 1
 
0.2%
/ 1
 
0.2%
0 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1318
76.3%
ASCII 407
 
23.6%
Compat Jamo 3
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
324
79.6%
, 63
 
15.5%
1 5
 
1.2%
3 4
 
1.0%
~ 3
 
0.7%
2 2
 
0.5%
7 2
 
0.5%
8 1
 
0.2%
/ 1
 
0.2%
0 1
 
0.2%
Hangul
ValueCountFrequency (%)
일 243
18.4%
요 129
 
9.8%
휴 97
 
7.4%
무 96
 
7.3%
주 94
 
7.1%
째 93
 
7.1%
매 80
 
6.1%
절 32
 
2.4%
명 32
 
2.4%
월 30
 
2.3%
Other values (64) 392
29.7%
Compat Jamo
ValueCountFrequency (%)
ㅅ 1
33.3%
ㅇ 1
33.3%
ㅁ 1
33.3%

조식 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing2
Missing (%)0.6%
Memory size762.0 B
False
309 
True
 
4
(Missing)
 
2
ValueCountFrequency (%)
False 309
98.1%
True 4
 
1.3%
(Missing) 2
 
0.6%
2023-12-13T07:28:34.762401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

쿠폰 유무
Boolean

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing2
Missing (%)0.6%
Memory size762.0 B
False
313 
(Missing)
 
2
ValueCountFrequency (%)
False 313
99.4%
(Missing) 2
 
0.6%
2023-12-13T07:28:34.848362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

쿠폰 할인율
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
%
244 
<NA>
64 
10%
 
6
5%
 
1

Length

Max length4
Median length1
Mean length1.6507937
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row10%
3rd row<NA>
4th row10%
5th row<NA>

Common Values

ValueCountFrequency (%)
% 244
77.5%
<NA> 64
 
20.3%
10% 6
 
1.9%
5% 1
 
0.3%

Length

2023-12-13T07:28:34.942258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:28:35.032902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
244
77.5%
na 64
 
20.3%
10 6
 
1.9%
5 1
 
0.3%

쿠폰 시작 날짜
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
304 
2016-05-31
 
4
2017-06-01
 
3
2019-10-03
 
2
2019-10-18
 
1

Length

Max length10
Median length4
Mean length4.2095238
Min length4

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row<NA>
2nd row2016-05-31
3rd row<NA>
4th row2016-05-31
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 304
96.5%
2016-05-31 4
 
1.3%
2017-06-01 3
 
1.0%
2019-10-03 2
 
0.6%
2019-10-18 1
 
0.3%
2019-11-16 1
 
0.3%

Length

2023-12-13T07:28:35.151057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:28:35.253721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 304
96.5%
2016-05-31 4
 
1.3%
2017-06-01 3
 
1.0%
2019-10-03 2
 
0.6%
2019-10-18 1
 
0.3%
2019-11-16 1
 
0.3%

쿠폰 마감 날짜
Date

MISSING 

Distinct7
Distinct (%)53.8%
Missing302
Missing (%)95.9%
Memory size2.6 KiB
Minimum2017-05-31 00:00:00
Maximum2019-11-25 00:00:00
2023-12-13T07:28:35.335902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:28:35.425418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

쿠폰 참고사항
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing310
Missing (%)98.4%
Memory size2.6 KiB
2023-12-13T07:28:35.566323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length24
Mean length19.4
Min length3

Characters and Unicode

Total characters97
Distinct characters40
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row주말, 공휴일(前) 및 성수기(하계) 제외
2nd row공휴일 및 성수기(7. 15.∼8. 16.) 제외
3rd row여름 성수기 제외
4th row10%
5th row공휴일, 토요일(주말), 성수기 제외 / 간단한 조식 무료제공
ValueCountFrequency (%)
제외 4
17.4%
성수기 2
 
8.7%
및 2
 
8.7%
공휴일 2
 
8.7%
주말 1
 
4.3%
조식 1
 
4.3%
간단한 1
 
4.3%
1
 
4.3%
토요일(주말 1
 
4.3%
10 1
 
4.3%
Other values (7) 7
30.4%
2023-12-13T07:28:35.852209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18
18.6%
제 5
 
5.2%
. 4
 
4.1%
공 4
 
4.1%
일 4
 
4.1%
( 4
 
4.1%
) 4
 
4.1%
성 4
 
4.1%
수 4
 
4.1%
기 4
 
4.1%
Other values (30) 42
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52
53.6%
Space Separator 18
 
18.6%
Other Punctuation 9
 
9.3%
Decimal Number 8
 
8.2%
Open Punctuation 4
 
4.1%
Close Punctuation 4
 
4.1%
Math Symbol 1
 
1.0%
Control 1
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 5
 
9.6%
공 4
 
7.7%
일 4
 
7.7%
성 4
 
7.7%
수 4
 
7.7%
기 4
 
7.7%
외 4
 
7.7%
휴 3
 
5.8%
말 2
 
3.8%
주 2
 
3.8%
Other values (15) 16
30.8%
Decimal Number
ValueCountFrequency (%)
1 3
37.5%
0 1
 
12.5%
6 1
 
12.5%
8 1
 
12.5%
5 1
 
12.5%
7 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
. 4
44.4%
, 3
33.3%
% 1
 
11.1%
/ 1
 
11.1%
Space Separator
ValueCountFrequency (%)
18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Math Symbol
ValueCountFrequency (%)
∼ 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 51
52.6%
Common 45
46.4%
Han 1
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 5
 
9.8%
공 4
 
7.8%
일 4
 
7.8%
성 4
 
7.8%
수 4
 
7.8%
기 4
 
7.8%
외 4
 
7.8%
휴 3
 
5.9%
말 2
 
3.9%
주 2
 
3.9%
Other values (14) 15
29.4%
Common
ValueCountFrequency (%)
18
40.0%
. 4
 
8.9%
( 4
 
8.9%
) 4
 
8.9%
, 3
 
6.7%
1 3
 
6.7%
% 1
 
2.2%
/ 1
 
2.2%
0 1
 
2.2%
6 1
 
2.2%
Other values (5) 5
 
11.1%
Han
ValueCountFrequency (%)
前 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 51
52.6%
ASCII 44
45.4%
Math Operators 1
 
1.0%
CJK 1
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18
40.9%
. 4
 
9.1%
( 4
 
9.1%
) 4
 
9.1%
, 3
 
6.8%
1 3
 
6.8%
% 1
 
2.3%
/ 1
 
2.3%
0 1
 
2.3%
6 1
 
2.3%
Other values (4) 4
 
9.1%
Hangul
ValueCountFrequency (%)
제 5
 
9.8%
공 4
 
7.8%
일 4
 
7.8%
성 4
 
7.8%
수 4
 
7.8%
기 4
 
7.8%
외 4
 
7.8%
휴 3
 
5.9%
말 2
 
3.9%
주 2
 
3.9%
Other values (14) 15
29.4%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%
CJK
ValueCountFrequency (%)
前 1
100.0%

주민 사용가능한 쿠폰 유무
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.4%
Missing72
Missing (%)22.9%
Memory size762.0 B
False
243 
(Missing)
72 
ValueCountFrequency (%)
False 243
77.1%
(Missing) 72
 
22.9%
2023-12-13T07:28:35.947234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

주차장 유무
Boolean

Distinct2
Distinct (%)0.6%
Missing2
Missing (%)0.6%
Memory size762.0 B
False
172 
True
141 
(Missing)
 
2
ValueCountFrequency (%)
False 172
54.6%
True 141
44.8%
(Missing) 2
 
0.6%
2023-12-13T07:28:36.018157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

주차장 요금 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing2
Missing (%)0.6%
Memory size762.0 B
False
310 
True
 
3
(Missing)
 
2
ValueCountFrequency (%)
False 310
98.4%
True 3
 
1.0%
(Missing) 2
 
0.6%
2023-12-13T07:28:36.105384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

주차장 세부사항
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing313
Missing (%)99.4%
Memory size2.6 KiB
2023-12-13T07:28:36.243075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters24
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row15~20대 주차 가능
2nd row공용주차장 1시간 무료
ValueCountFrequency (%)
15~20대 1
16.7%
주차 1
16.7%
가능 1
16.7%
공용주차장 1
16.7%
1시간 1
16.7%
무료 1
16.7%
2023-12-13T07:28:36.512790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4
16.7%
1 2
 
8.3%
주 2
 
8.3%
차 2
 
8.3%
공 1
 
4.2%
무 1
 
4.2%
간 1
 
4.2%
시 1
 
4.2%
장 1
 
4.2%
용 1
 
4.2%
Other values (8) 8
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14
58.3%
Decimal Number 5
 
20.8%
Space Separator 4
 
16.7%
Math Symbol 1
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2
14.3%
차 2
14.3%
공 1
7.1%
무 1
7.1%
간 1
7.1%
시 1
7.1%
장 1
7.1%
용 1
7.1%
가 1
7.1%
능 1
7.1%
Other values (2) 2
14.3%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
5 1
20.0%
0 1
20.0%
2 1
20.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14
58.3%
Common 10
41.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2
14.3%
차 2
14.3%
공 1
7.1%
무 1
7.1%
간 1
7.1%
시 1
7.1%
장 1
7.1%
용 1
7.1%
가 1
7.1%
능 1
7.1%
Other values (2) 2
14.3%
Common
ValueCountFrequency (%)
4
40.0%
1 2
20.0%
5 1
 
10.0%
0 1
 
10.0%
2 1
 
10.0%
~ 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14
58.3%
ASCII 10
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4
40.0%
1 2
20.0%
5 1
 
10.0%
0 1
 
10.0%
2 1
 
10.0%
~ 1
 
10.0%
Hangul
ValueCountFrequency (%)
주 2
14.3%
차 2
14.3%
공 1
7.1%
무 1
7.1%
간 1
7.1%
시 1
7.1%
장 1
7.1%
용 1
7.1%
가 1
7.1%
능 1
7.1%
Other values (2) 2
14.3%

주차 자동차 합계
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)7.9%
Missing61
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean4.992126
Minimum0
Maximum100
Zeros165
Zeros (%)52.4%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-13T07:28:36.627480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile30
Maximum100
Range100
Interquartile range (IQR)4

Descriptive statistics

Standard deviation11.604821
Coefficient of variation (CV)2.3246251
Kurtosis20.528915
Mean4.992126
Median Absolute Deviation (MAD)0
Skewness3.8381008
Sum1268
Variance134.67187
MonotonicityNot monotonic
2023-12-13T07:28:36.750940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 165
52.4%
20 12
 
3.8%
2 11
 
3.5%
4 8
 
2.5%
3 8
 
2.5%
30 7
 
2.2%
7 7
 
2.2%
10 7
 
2.2%
40 5
 
1.6%
6 4
 
1.3%
Other values (10) 20
 
6.3%
(Missing) 61
 
19.4%
ValueCountFrequency (%)
0 165
52.4%
1 3
 
1.0%
2 11
 
3.5%
3 8
 
2.5%
4 8
 
2.5%
5 3
 
1.0%
6 4
 
1.3%
7 7
 
2.2%
8 4
 
1.3%
9 2
 
0.6%
ValueCountFrequency (%)
100 1
 
0.3%
50 3
 
1.0%
40 5
1.6%
35 1
 
0.3%
30 7
2.2%
20 12
3.8%
16 1
 
0.3%
15 1
 
0.3%
13 1
 
0.3%
10 7
2.2%

주차 버스 합계
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)2.8%
Missing61
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean0.31889764
Minimum0
Maximum20
Zeros237
Zeros (%)75.2%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-13T07:28:36.870505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.7436154
Coefficient of variation (CV)5.4676336
Kurtosis74.693283
Mean0.31889764
Median Absolute Deviation (MAD)0
Skewness7.9746735
Sum81
Variance3.0401948
MonotonicityNot monotonic
2023-12-13T07:28:37.072358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 237
75.2%
2 6
 
1.9%
10 3
 
1.0%
1 3
 
1.0%
3 2
 
0.6%
5 2
 
0.6%
20 1
 
0.3%
(Missing) 61
 
19.4%
ValueCountFrequency (%)
0 237
75.2%
1 3
 
1.0%
2 6
 
1.9%
3 2
 
0.6%
5 2
 
0.6%
10 3
 
1.0%
20 1
 
0.3%
ValueCountFrequency (%)
20 1
 
0.3%
10 3
 
1.0%
5 2
 
0.6%
3 2
 
0.6%
2 6
 
1.9%
1 3
 
1.0%
0 237
75.2%

숙박 주변 주차장 정보
Categorical

HIGH CARDINALITY  IMBALANCE 

Distinct51
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
202 
도로변
 
16
도로변주차가능
 
11
공용주차장
 
10
공용주차장이용
 
9
Other values (46)
67 

Length

Max length21
Median length4
Mean length5.3492063
Min length3

Unique

Unique34 ?
Unique (%)10.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 202
64.1%
도로변 16
 
5.1%
도로변주차가능 11
 
3.5%
공용주차장 10
 
3.2%
공용주차장이용 9
 
2.9%
인근공용주차장이용 6
 
1.9%
인근공용주차장 이용 4
 
1.3%
인근주차장이용 3
 
1.0%
공영주차장 3
 
1.0%
공용주차장 이용 3
 
1.0%
Other values (41) 48
 
15.2%

Length

2023-12-13T07:28:37.251197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 202
53.7%
도로변 26
 
6.9%
공용주차장 23
 
6.1%
이용 17
 
4.5%
공용주차장이용 12
 
3.2%
도로변주차가능 11
 
2.9%
가능 9
 
2.4%
인근 9
 
2.4%
인근공용주차장이용 8
 
2.1%
주차장 6
 
1.6%
Other values (32) 53
 
14.1%

장애인 시설 유무
Categorical

IMBALANCE 

Distinct12
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
169 
무
86 
N
42 
가능
 
7
휠체어 가능
 
4
Other values (7)
 
7

Length

Max length8
Median length4
Mean length2.7968254
Min length1

Unique

Unique7 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 169
53.7%
무 86
27.3%
N 42
 
13.3%
가능 7
 
2.2%
휠체어 가능 4
 
1.3%
Y 1
 
0.3%
입구 출입 가능 1
 
0.3%
췰체어 출입가능 1
 
0.3%
출입가능 1
 
0.3%
입구계단,있음 1
 
0.3%
Other values (2) 2
 
0.6%

Length

2023-12-13T07:28:37.426754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 169
52.3%
무 86
26.6%
n 42
 
13.0%
가능 13
 
4.0%
휠체어 5
 
1.5%
출입가능 2
 
0.6%
y 1
 
0.3%
입구 1
 
0.3%
출입 1
 
0.3%
췰체어 1
 
0.3%
Other values (2) 2
 
0.6%

산책 유무
Boolean

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing2
Missing (%)0.6%
Memory size762.0 B
False
313 
(Missing)
 
2
ValueCountFrequency (%)
False 313
99.4%
(Missing) 2
 
0.6%
2023-12-13T07:28:37.560208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

신용카드 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing2
Missing (%)0.6%
Memory size762.0 B
False
296 
True
 
17
(Missing)
 
2
ValueCountFrequency (%)
False 296
94.0%
True 17
 
5.4%
(Missing) 2
 
0.6%
2023-12-13T07:28:37.657581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

팁 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing2
Missing (%)0.6%
Memory size762.0 B
False
295 
True
 
18
(Missing)
 
2
ValueCountFrequency (%)
False 295
93.7%
True 18
 
5.7%
(Missing) 2
 
0.6%
2023-12-13T07:28:37.758199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

핸드폰 충전 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing2
Missing (%)0.6%
Memory size762.0 B
False
295 
True
 
18
(Missing)
 
2
ValueCountFrequency (%)
False 295
93.7%
True 18
 
5.7%
(Missing) 2
 
0.6%
2023-12-13T07:28:37.843787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

짐 보관 이유
Boolean

Distinct2
Distinct (%)0.6%
Missing2
Missing (%)0.6%
Memory size762.0 B
True
187 
False
126 
(Missing)
 
2
ValueCountFrequency (%)
True 187
59.4%
False 126
40.0%
(Missing) 2
 
0.6%
2023-12-13T07:28:37.933044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

아동 보육 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing2
Missing (%)0.6%
Memory size762.0 B
False
308 
True
 
5
(Missing)
 
2
ValueCountFrequency (%)
False 308
97.8%
True 5
 
1.6%
(Missing) 2
 
0.6%
2023-12-13T07:28:38.388427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

반려동물 보호 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing2
Missing (%)0.6%
Memory size762.0 B
False
309 
True
 
4
(Missing)
 
2
ValueCountFrequency (%)
False 309
98.1%
True 4
 
1.3%
(Missing) 2
 
0.6%
2023-12-13T07:28:38.481095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

외국인 가이드 유무
Boolean

Distinct2
Distinct (%)0.6%
Missing2
Missing (%)0.6%
Memory size762.0 B
False
261 
True
52 
(Missing)
 
2
ValueCountFrequency (%)
False 261
82.9%
True 52
 
16.5%
(Missing) 2
 
0.6%
2023-12-13T07:28:38.582652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

근처 관광 정보
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing2
Missing (%)0.6%
Memory size762.0 B
True
310 
False
 
3
(Missing)
 
2
ValueCountFrequency (%)
True 310
98.4%
False 3
 
1.0%
(Missing) 2
 
0.6%
2023-12-13T07:28:38.676053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

근처 쇼핑 정보
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing2
Missing (%)0.6%
Memory size762.0 B
True
311 
False
 
2
(Missing)
 
2
ValueCountFrequency (%)
True 311
98.7%
False 2
 
0.6%
(Missing) 2
 
0.6%
2023-12-13T07:28:38.780957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

근처 외식 정보
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing2
Missing (%)0.6%
Memory size762.0 B
True
311 
False
 
2
(Missing)
 
2
ValueCountFrequency (%)
True 311
98.7%
False 2
 
0.6%
(Missing) 2
 
0.6%
2023-12-13T07:28:38.911826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

근처 숙박 정보
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing2
Missing (%)0.6%
Memory size762.0 B
True
310 
False
 
3
(Missing)
 
2
ValueCountFrequency (%)
True 310
98.4%
False 3
 
1.0%
(Missing) 2
 
0.6%
2023-12-13T07:28:38.998859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

근처 교통 정보
Boolean

Distinct2
Distinct (%)0.6%
Missing2
Missing (%)0.6%
Memory size762.0 B
True
245 
False
68 
(Missing)
 
2
ValueCountFrequency (%)
True 245
77.8%
False 68
 
21.6%
(Missing) 2
 
0.6%
2023-12-13T07:28:39.102464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

숙박시설명시설명(영문)주소주소(영문)숙박위치(동서방향)숙박위치(남북방향)숙박업소 홈페이지 주소숙박업소 근처 시티투어 버스 유무숙박업소 등급숙박업소 건물 수숙박업소 객실 수숙박업소 스탠딩 수숙박업소 좌석 수숙박업소 대표메뉴숙박업소 특징숙박업소 연중무휴 여부숙박업소 오픈 시간숙박업소 종료 시간성수기 날짜 합계숙박시설의 휴무 이유조식 유무쿠폰 유무쿠폰 할인율쿠폰 시작 날짜쿠폰 마감 날짜쿠폰 참고사항주민 사용가능한 쿠폰 유무주차장 유무주차장 요금 유무주차장 세부사항주차 자동차 합계주차 버스 합계숙박 주변 주차장 정보장애인 시설 유무산책 유무신용카드 유무팁 유무핸드폰 충전 유무짐 보관 이유아동 보육 유무반려동물 보호 유무외국인 가이드 유무근처 관광 정보근처 쇼핑 정보근처 외식 정보근처 숙박 정보근처 교통 정보
0오페라모텔Opera Motel전라남도 여수시 돌산읍 강남1길 39-1739-17, Gangnam 1-gil Dolsan-eup, Yeosu-si, Jeollanam-do127.74994434.71982www.motelopera.comn<NA>03500<NA>여수,돌산청사,오페라모텔,장애인 편의 시설n14:0012:007|21|8|15<NA>nn<NA><NA><NA><NA><NA>yn<NA>350<NA><NA>nynynnnnnnnnn
1제우스모텔<NA>전라남도 여수시 봉산남7길 1313, Bongsannam 7-gil, Yeosu-si, Jeollanam-do127.72400534.732555<NA>n<NA>04000<NA><NA>n12:0012:007|1|8|30<NA>nn10%2016-05-312017-05-31주말, 공휴일(前) 및 성수기(하계) 제외<NA>yn<NA>00<NA><NA>nyyynnnnyyyyn
2비앤비치 관광호텔B&Beach Tourist Hotel전라남도 여수시 시청서6길 2525, Sicheongseo 6-gil, Yeosu-si, Jeollanam-do127.65955934.756612www.bnbeach.comn<NA>04100<NA>관광호텔, 숙박, 비앤비치 관광호텔n14:0012:007|1|8|15<NA>yn<NA><NA><NA><NA><NA>yn<NA>200<NA><NA>nyyynnnynnnnn
3프랑스 호텔 (일반호텔)France Motel전라남도 여수시 시청서6길 2323, Sicheongseo 6-gil, Yeosu-si, Jeollanam-do127.65932634.756589프랑스모텔.krn<NA>04400<NA>여수,학동,프랑스모텔n15:0012:007|1|8|30<NA>yn10%2016-05-312017-05-31공휴일 및 성수기(7. 15.∼8. 16.) 제외<NA>yn<NA>200<NA><NA>nynynnnynyynn
4팔레스모텔<NA>전라남도 여수시 봉산남5길 88, Bongsannam 5-gil, Yeosu-si, Jeollanam-do127.72471534.734574<NA>n<NA>04300<NA><NA>n12:0012:007|1|8|30<NA>nn<NA><NA><NA><NA><NA>yn<NA>4010<NA><NA>nyyynnynyyyyn
5하얀풍차펜션<NA>전라남도 여수시 돌산읍 돌산로 649-12649-12, Dolsan-ro Dolsan-eup, Yeosu-si, Jeollanam-do127.76003234.592827<NA>n<NA>0900<NA><NA>n14:0012:006|1|8|1<NA>nn<NA><NA><NA><NA><NA>yn<NA><NA><NA><NA><NA>nyyynnnnyyyyn
6해리펜션<NA>전라남도 여수시 돌산읍 계동로 390390, Gyedong-ro Dolsan-eup, Yeosu-si, Jeollanam-do127.78347934.670081www.haery.co.kr/n<NA>0600<NA><NA>n15:0011:007|20|8|20<NA>nn10%2017-06-012018-05-31여름 성수기 제외<NA>yn<NA>00<NA><NA>nyyynnnnyyyyn
7해질녘펜션<NA>전라남도 여수시 돌산읍 평사로 190190, Pyeongsa-ro Dolsan-eup, Yeosu-si, Jeollanam-do127.71991134.645987www.kbs1.kr/h/haejilyeokn<NA>0400<NA><NA>n<NA>11:007|15|8|15<NA>nn10%2016-05-312017-05-3110%<NA>yn<NA>00<NA><NA>nyyynnnnyyyyn
8MK호텔mk Motel전라남도 여수시 시청서5길 1616, Sicheongseo 5-gil, Yeosu-si, Jeollanam-do127.65838534.756735http://www.mkhotel.co.kr/stdzn/page.do?request=goMainPage&bizCode=P201602017n<NA>13800<NA>MK모텔n14:0012:007|1|8|30<NA>nn10%2017-06-012018-05-31공휴일, 토요일(주말), 성수기 제외 / 간단한 조식 무료제공<NA>yn<NA>162<NA><NA>nyyynnnyyyyyy
9해질녘펜션<NA>전남 여수시 돌산읍 금봉리<NA><NA><NA><NA>n<NA>0000<NA><NA>n<NA><NA>0|0|0|0<NA>nn<NA><NA><NA><NA><NA>nn<NA><NA><NA><NA><NA>nnnnnnnnyyyyn
숙박시설명시설명(영문)주소주소(영문)숙박위치(동서방향)숙박위치(남북방향)숙박업소 홈페이지 주소숙박업소 근처 시티투어 버스 유무숙박업소 등급숙박업소 건물 수숙박업소 객실 수숙박업소 스탠딩 수숙박업소 좌석 수숙박업소 대표메뉴숙박업소 특징숙박업소 연중무휴 여부숙박업소 오픈 시간숙박업소 종료 시간성수기 날짜 합계숙박시설의 휴무 이유조식 유무쿠폰 유무쿠폰 할인율쿠폰 시작 날짜쿠폰 마감 날짜쿠폰 참고사항주민 사용가능한 쿠폰 유무주차장 유무주차장 요금 유무주차장 세부사항주차 자동차 합계주차 버스 합계숙박 주변 주차장 정보장애인 시설 유무산책 유무신용카드 유무팁 유무핸드폰 충전 유무짐 보관 이유아동 보육 유무반려동물 보호 유무외국인 가이드 유무근처 관광 정보근처 쇼핑 정보근처 외식 정보근처 숙박 정보근처 교통 정보
305돈마니 감자탕 & 등갈비<NA>전라남도 여수시 대치3길 5-75-7, Daechi 3-gil, Yeosu-si, Jeollanam-do127.70017434.747837<NA>n<NA>002824<NA>여서동n10:0022:00<NA>매주 수요일 휴무, 명절 전날 당일 휴무nn%<NA><NA><NA>nnn<NA>00공용주차장 이용무nnnnynnnyyyyy
306풍미정<NA>전라남도 여수시 성산6길 5353, Seongsan 6-gil, Yeosu-si, Jeollanam-do127.64410934.773396<NA>n<NA>00680<NA>화장동n16:3020:30<NA>매주 일요일 휴무nn%<NA><NA><NA>nnn<NA>00공용주차장이용가능무nnnnnnnnyyyyy
307넘너리 바닷가<NA>전라남도 여수시 신월5길 4040, Sinwol 5-gil, Yeosu-si, Jeollanam-do127.70564334.722144<NA>n<NA>002448<NA>신월동n11:3021:30<NA>상황에 따라 휴무nn%<NA>2019-10-24<NA>nnn<NA>00<NA>무nnnnnnnnyyyyy
308행복식탁<NA>전라남도 여수시 학동서3길 1717, Hakdongseo 3-gil, Yeosu-si, Jeollanam-do127.66092334.765136<NA>n<NA>00480<NA>학동n10:0021:00<NA>명절은 상황에 따라 휴무nn%<NA><NA><NA>nnn<NA>00도로변주차가능무nnnnynnnyyyyy
309바다양푼이 동태탕 무선점<NA>전라남도 여수시 화산로 78-178-1, Hwasan-ro, Yeosu-si, Jeollanam-do127.64693734.773514<NA>n<NA>00520<NA>화장동n11:3022:00<NA>매주 일요일 휴무nn%<NA><NA><NA>nnn<NA>00공용주차장 이용 가능무nnnnynnnyyyyy
310맛있는 풍경<NA>전라남도 여수시 여서동1길 1010, Yeoseodong 1-gil, Yeosu-si, Jeollanam-do127.70892234.753771<NA>n<NA>00032<NA>여서동n12:0022:00<NA>매주일요일 휴무nn%<NA><NA><NA>nnn<NA>00공용주차장 이용무nnnnynnnyyyyy
311덕양곱창<NA>전라남도 여수시 성산5길 6060, Seongsan 5-gil, Yeosu-si, Jeollanam-do127.64370534.774224<NA>n<NA>00680<NA>화장동n11:0021:30<NA><NA>nn%<NA><NA><NA>nnn<NA>00공원 옆에 주차가능무nnnnynnnyyyyy
312황금소나무<NA>전라남도 여수시 여서로 260-22260-22, Yeoseo-ro, Yeosu-si, Jeollanam-do127.70806534.748588<NA>n<NA>00120160<NA>여서동n11:0021:00<NA><NA>nn%<NA><NA><NA>nyn<NA>302<NA>Nnnnnynnnyyyyy
313<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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Duplicate rows

Most frequently occurring

숙박시설명시설명(영문)주소주소(영문)숙박위치(동서방향)숙박위치(남북방향)숙박업소 홈페이지 주소숙박업소 근처 시티투어 버스 유무숙박업소 등급숙박업소 건물 수숙박업소 객실 수숙박업소 스탠딩 수숙박업소 좌석 수숙박업소 대표메뉴숙박업소 특징숙박업소 연중무휴 여부숙박업소 오픈 시간숙박업소 종료 시간성수기 날짜 합계숙박시설의 휴무 이유조식 유무쿠폰 유무쿠폰 할인율쿠폰 시작 날짜쿠폰 마감 날짜쿠폰 참고사항주민 사용가능한 쿠폰 유무주차장 유무주차장 요금 유무주차장 세부사항주차 자동차 합계주차 버스 합계숙박 주변 주차장 정보장애인 시설 유무산책 유무신용카드 유무팁 유무핸드폰 충전 유무짐 보관 이유아동 보육 유무반려동물 보호 유무외국인 가이드 유무근처 관광 정보근처 쇼핑 정보근처 외식 정보근처 숙박 정보근처 교통 정보# duplicates
0끌리오 팬션<NA><NA><NA><NA><NA><NA>n<NA>0000<NA><NA>n<NA><NA>0|0|0|0<NA>nn<NA><NA><NA><NA><NA>nn<NA><NA><NA><NA><NA>nnnnnnnnyyyyn2
1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2