Overview

Dataset statistics

Number of variables23
Number of observations10000
Missing cells64076
Missing cells (%)27.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 MiB
Average record size in memory197.0 B

Variable types

Numeric5
Text7
Categorical4
Boolean7

Dataset

Description전라남도에 위치한 식당의 운영정보를 적어놓은 데이터 입니다.식당명, 주차가능여부, 와이파이제공여부, 놀이방유무, 반려동물입장가능여부, 다국어메뉴판제공여부 등 식당운영정보를 포함하고 있습니다.
Author전라남도
URLhttps://www.data.go.kr/data/15111202/fileData.do

Alerts

식당상태 has constant value ""Constant
주차가능여부 is highly imbalanced (54.6%)Imbalance
와이파이 제공 여부 is highly imbalanced (56.9%)Imbalance
놀이방 유무 is highly imbalanced (99.1%)Imbalance
화장실 정보내용 is highly imbalanced (57.8%)Imbalance
배달서비스 유무 is highly imbalanced (73.7%)Imbalance
스마트 오더 유무 is highly imbalanced (94.9%)Imbalance
해시태그 is highly imbalanced (85.0%)Imbalance
지점명 has 9138 (91.4%) missing valuesMissing
휴무일 정보 내용 has 8084 (80.8%) missing valuesMissing
영업시간 내용 has 7844 (78.4%) missing valuesMissing
홈페이지 has 9216 (92.2%) missing valuesMissing
인근 랜드마크 명 has 2967 (29.7%) missing valuesMissing
인근 랜드마크 위도 has 2967 (29.7%) missing valuesMissing
인근 랜드마크 경도 has 2967 (29.7%) missing valuesMissing
인근 랜드마크와의 거리 has 2967 (29.7%) missing valuesMissing
대표메뉴명 has 7980 (79.8%) missing valuesMissing
면적정보 내용 has 9946 (99.5%) missing valuesMissing
식당ID has unique valuesUnique

Reproduction

Analysis started2023-12-16 15:18:49.154400
Analysis finished2023-12-16 15:18:57.929881
Duration8.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

식당ID
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean381785.01
Minimum10401
Maximum1074722
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-16T15:18:58.405900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10401
5-th percentile31586.8
Q1172984.5
median196144.5
Q3689534.75
95-th percentile1022259.3
Maximum1074722
Range1064321
Interquartile range (IQR)516550.25

Descriptive statistics

Standard deviation325408.3
Coefficient of variation (CV)0.85233389
Kurtosis-0.86950055
Mean381785.01
Median Absolute Deviation (MAD)77714
Skewness0.77138463
Sum3.8178501 × 109
Variance1.0589056 × 1011
MonotonicityNot monotonic
2023-12-16T15:18:59.017699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
653353 1
 
< 0.1%
193359 1
 
< 0.1%
33522 1
 
< 0.1%
173682 1
 
< 0.1%
1052689 1
 
< 0.1%
34008 1
 
< 0.1%
1029251 1
 
< 0.1%
196517 1
 
< 0.1%
33257 1
 
< 0.1%
655213 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
10401 1
< 0.1%
10408 1
< 0.1%
10413 1
< 0.1%
10414 1
< 0.1%
10415 1
< 0.1%
10416 1
< 0.1%
10424 1
< 0.1%
10430 1
< 0.1%
10431 1
< 0.1%
10432 1
< 0.1%
ValueCountFrequency (%)
1074722 1
< 0.1%
1074330 1
< 0.1%
1074308 1
< 0.1%
1074217 1
< 0.1%
1074120 1
< 0.1%
1074073 1
< 0.1%
1073993 1
< 0.1%
1073839 1
< 0.1%
1073822 1
< 0.1%
1073775 1
< 0.1%

식당명
Text

Distinct9242
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-16T15:19:00.172374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length33
Mean length5.3351
Min length1

Characters and Unicode

Total characters53351
Distinct characters1043
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8749 ?
Unique (%)87.5%

Sample

1st row코끼리상회
2nd row들국화찻집
3rd row돈키돈키
4th row모던통닭 피자마루
5th row김밥나라
ValueCountFrequency (%)
카페 101
 
0.9%
식당 31
 
0.3%
여수 28
 
0.2%
포차 23
 
0.2%
투모아 22
 
0.2%
커피 21
 
0.2%
까투리 20
 
0.2%
cafe 15
 
0.1%
베이커리 13
 
0.1%
김밥나라 12
 
0.1%
Other values (9852) 11143
97.5%
2023-12-16T15:19:02.068248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 1524
 
2.9%
1433
 
2.7%
당 1248
 
2.3%
이 1057
 
2.0%
리 883
 
1.7%
가 618
 
1.2%
집 617
 
1.2%
장 612
 
1.1%
스 580
 
1.1%
수 553
 
1.0%
Other values (1033) 44226
82.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48666
91.2%
Space Separator 1433
 
2.7%
Uppercase Letter 1071
 
2.0%
Lowercase Letter 809
 
1.5%
Decimal Number 666
 
1.2%
Close Punctuation 238
 
0.4%
Open Punctuation 236
 
0.4%
Other Punctuation 202
 
0.4%
Dash Punctuation 17
 
< 0.1%
Other Symbol 5
 
< 0.1%
Other values (3) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 1524
 
3.1%
당 1248
 
2.6%
이 1057
 
2.2%
리 883
 
1.8%
가 618
 
1.3%
집 617
 
1.3%
장 612
 
1.3%
스 580
 
1.2%
수 553
 
1.1%
카 526
 
1.1%
Other values (950) 40448
83.1%
Uppercase Letter
ValueCountFrequency (%)
O 96
 
9.0%
E 95
 
8.9%
C 92
 
8.6%
B 90
 
8.4%
A 88
 
8.2%
F 58
 
5.4%
N 55
 
5.1%
T 51
 
4.8%
R 49
 
4.6%
H 42
 
3.9%
Other values (16) 355
33.1%
Lowercase Letter
ValueCountFrequency (%)
e 148
18.3%
o 85
10.5%
a 77
 
9.5%
r 59
 
7.3%
f 58
 
7.2%
n 42
 
5.2%
c 39
 
4.8%
s 38
 
4.7%
l 32
 
4.0%
t 29
 
3.6%
Other values (15) 202
25.0%
Other Punctuation
ValueCountFrequency (%)
& 100
49.5%
. 33
 
16.3%
, 21
 
10.4%
· 12
 
5.9%
' 11
 
5.4%
! 10
 
5.0%
# 6
 
3.0%
: 4
 
2.0%
; 3
 
1.5%
＆ 1
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 142
21.3%
2 96
14.4%
9 77
11.6%
0 73
11.0%
3 58
8.7%
5 48
 
7.2%
4 46
 
6.9%
8 45
 
6.8%
7 45
 
6.8%
6 36
 
5.4%
Close Punctuation
ValueCountFrequency (%)
) 235
98.7%
] 3
 
1.3%
Open Punctuation
ValueCountFrequency (%)
( 233
98.7%
[ 3
 
1.3%
Math Symbol
ValueCountFrequency (%)
+ 1
50.0%
~ 1
50.0%
Space Separator
ValueCountFrequency (%)
1433
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 5
100.0%
Control
ValueCountFrequency (%)
4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48666
91.2%
Common 2805
 
5.3%
Latin 1880
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 1524
 
3.1%
당 1248
 
2.6%
이 1057
 
2.2%
리 883
 
1.8%
가 618
 
1.3%
집 617
 
1.3%
장 612
 
1.3%
스 580
 
1.2%
수 553
 
1.1%
카 526
 
1.1%
Other values (950) 40448
83.1%
Latin
ValueCountFrequency (%)
e 148
 
7.9%
O 96
 
5.1%
E 95
 
5.1%
C 92
 
4.9%
B 90
 
4.8%
A 88
 
4.7%
o 85
 
4.5%
a 77
 
4.1%
r 59
 
3.1%
f 58
 
3.1%
Other values (41) 992
52.8%
Common
ValueCountFrequency (%)
1433
51.1%
) 235
 
8.4%
( 233
 
8.3%
1 142
 
5.1%
& 100
 
3.6%
2 96
 
3.4%
9 77
 
2.7%
0 73
 
2.6%
3 58
 
2.1%
5 48
 
1.7%
Other values (22) 310
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48664
91.2%
ASCII 4667
 
8.7%
None 13
 
< 0.1%
Letterlike Symbols 5
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 1524
 
3.1%
당 1248
 
2.6%
이 1057
 
2.2%
리 883
 
1.8%
가 618
 
1.3%
집 617
 
1.3%
장 612
 
1.3%
스 580
 
1.2%
수 553
 
1.1%
카 526
 
1.1%
Other values (948) 40446
83.1%
ASCII
ValueCountFrequency (%)
1433
30.7%
) 235
 
5.0%
( 233
 
5.0%
e 148
 
3.2%
1 142
 
3.0%
& 100
 
2.1%
O 96
 
2.1%
2 96
 
2.1%
E 95
 
2.0%
C 92
 
2.0%
Other values (70) 1997
42.8%
None
ValueCountFrequency (%)
· 12
92.3%
＆ 1
 
7.7%
Letterlike Symbols
ValueCountFrequency (%)
℃ 5
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅅ 1
50.0%
ㅈ 1
50.0%

지점명
Text

MISSING 

Distinct377
Distinct (%)43.7%
Missing9138
Missing (%)91.4%
Memory size156.2 KiB
2023-12-16T15:19:03.405040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length3
Mean length3.7157773
Min length2

Characters and Unicode

Total characters3203
Distinct characters232
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique268 ?
Unique (%)31.1%

Sample

1st row신북분점
2nd row평화광장점
3rd row삼호점
4th row궁전점
5th row여수점
ValueCountFrequency (%)
본점 34
 
3.9%
광양점 26
 
3.0%
남악점 23
 
2.6%
순천점 23
 
2.6%
여수점 18
 
2.1%
나주혁신점 16
 
1.8%
화순점 16
 
1.8%
목포점 13
 
1.5%
삼호점 13
 
1.5%
해남점 12
 
1.4%
Other values (368) 677
77.7%
2023-12-16T15:19:05.067268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 864
27.0%
천 84
 
2.6%
호 81
 
2.5%
여 80
 
2.5%
순 75
 
2.3%
수 74
 
2.3%
광 72
 
2.2%
남 66
 
2.1%
본 65
 
2.0%
양 62
 
1.9%
Other values (222) 1680
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3113
97.2%
Decimal Number 65
 
2.0%
Uppercase Letter 16
 
0.5%
Space Separator 9
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 864
27.8%
천 84
 
2.7%
호 81
 
2.6%
여 80
 
2.6%
순 75
 
2.4%
수 74
 
2.4%
광 72
 
2.3%
남 66
 
2.1%
본 65
 
2.1%
양 62
 
2.0%
Other values (204) 1590
51.1%
Decimal Number
ValueCountFrequency (%)
2 21
32.3%
1 20
30.8%
3 10
15.4%
8 3
 
4.6%
7 3
 
4.6%
4 2
 
3.1%
6 2
 
3.1%
5 2
 
3.1%
9 1
 
1.5%
0 1
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
C 6
37.5%
N 3
18.8%
F 2
 
12.5%
L 2
 
12.5%
G 1
 
6.2%
H 1
 
6.2%
B 1
 
6.2%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3113
97.2%
Common 74
 
2.3%
Latin 16
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 864
27.8%
천 84
 
2.7%
호 81
 
2.6%
여 80
 
2.6%
순 75
 
2.4%
수 74
 
2.4%
광 72
 
2.3%
남 66
 
2.1%
본 65
 
2.1%
양 62
 
2.0%
Other values (204) 1590
51.1%
Common
ValueCountFrequency (%)
2 21
28.4%
1 20
27.0%
3 10
13.5%
9
12.2%
8 3
 
4.1%
7 3
 
4.1%
4 2
 
2.7%
6 2
 
2.7%
5 2
 
2.7%
9 1
 
1.4%
Latin
ValueCountFrequency (%)
C 6
37.5%
N 3
18.8%
F 2
 
12.5%
L 2
 
12.5%
G 1
 
6.2%
H 1
 
6.2%
B 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3113
97.2%
ASCII 90
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 864
27.8%
천 84
 
2.7%
호 81
 
2.6%
여 80
 
2.6%
순 75
 
2.4%
수 74
 
2.4%
광 72
 
2.3%
남 66
 
2.1%
본 65
 
2.1%
양 62
 
2.0%
Other values (204) 1590
51.1%
ASCII
ValueCountFrequency (%)
2 21
23.3%
1 20
22.2%
3 10
11.1%
9
10.0%
C 6
 
6.7%
N 3
 
3.3%
8 3
 
3.3%
7 3
 
3.3%
F 2
 
2.2%
L 2
 
2.2%
Other values (8) 11
12.2%

지역명
Categorical

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
여수시
1721 
순천시
1513 
목포시
1443 
광양시
774 
나주시
546 
Other values (17)
4003 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row고흥군
2nd row화순군
3rd row영암군
4th row목포시
5th row영암군

Common Values

ValueCountFrequency (%)
여수시 1721
17.2%
순천시 1513
15.1%
목포시 1443
14.4%
광양시 774
 
7.7%
나주시 546
 
5.5%
무안군 417
 
4.2%
해남군 329
 
3.3%
고흥군 307
 
3.1%
화순군 307
 
3.1%
담양군 301
 
3.0%
Other values (12) 2342
23.4%

Length

2023-12-16T15:19:05.791280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
여수시 1721
17.2%
순천시 1513
15.1%
목포시 1443
14.4%
광양시 774
 
7.7%
나주시 546
 
5.5%
무안군 417
 
4.2%
해남군 329
 
3.3%
고흥군 307
 
3.1%
화순군 307
 
3.1%
담양군 301
 
3.0%
Other values (12) 2342
23.4%

주차가능여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9046 
True
954 
ValueCountFrequency (%)
False 9046
90.5%
True 954
 
9.5%
2023-12-16T15:19:06.380777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

와이파이 제공 여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9115 
True
 
885
ValueCountFrequency (%)
False 9115
91.1%
True 885
 
8.8%
2023-12-16T15:19:07.007689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

놀이방 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9992 
True
 
8
ValueCountFrequency (%)
False 9992
99.9%
True 8
 
0.1%
2023-12-16T15:19:07.457097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

다국어 메뉴판제공 여부
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
8246 
True
1754 
ValueCountFrequency (%)
False 8246
82.5%
True 1754
 
17.5%
2023-12-16T15:19:08.070602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

화장실 정보내용
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9143 
True
 
857
ValueCountFrequency (%)
False 9143
91.4%
True 857
 
8.6%
2023-12-16T15:19:08.562397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

휴무일 정보 내용
Text

MISSING 

Distinct1084
Distinct (%)56.6%
Missing8084
Missing (%)80.8%
Memory size156.2 KiB
2023-12-16T15:19:09.700119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length649
Median length461
Mean length29.490605
Min length3

Characters and Unicode

Total characters56504
Distinct characters330
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique944 ?
Unique (%)49.3%

Sample

1st row평일 10:00~20:00 일요일은 휴무
2nd row일요일
3rd row화요일 휴무 | 주말 10:00~19:00 재료소진시 마감 | 평일 10:00~19:00 재료소진시 마감
4th row일요일
5th row매일 11:00~23:30 | 일요일 휴무
ValueCountFrequency (%)
매일 1442
 
14.6%
1046
 
10.6%
휴무 593
 
6.0%
일요일 553
 
5.6%
월요일 292
 
3.0%
토요일 183
 
1.9%
매주 181
 
1.8%
평일 176
 
1.8%
화요일 166
 
1.7%
연중무휴 153
 
1.6%
Other values (1018) 5063
51.4%
2023-12-16T15:19:12.477044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11146
19.7%
8498
15.0%
: 5185
 
9.2%
일 4101
 
7.3%
1 3919
 
6.9%
2 2774
 
4.9%
~ 2571
 
4.6%
매 1758
 
3.1%
요 1727
 
3.1%
3 1381
 
2.4%
Other values (320) 13444
23.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21041
37.2%
Other Letter 16971
30.0%
Space Separator 8498
15.0%
Other Punctuation 5523
 
9.8%
Math Symbol 3560
 
6.3%
Lowercase Letter 558
 
1.0%
Uppercase Letter 123
 
0.2%
Close Punctuation 85
 
0.2%
Open Punctuation 78
 
0.1%
Dash Punctuation 43
 
0.1%
Other values (2) 24
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 4101
24.2%
매 1758
 
10.4%
요 1727
 
10.2%
휴 1035
 
6.1%
무 934
 
5.5%
주 543
 
3.2%
월 438
 
2.6%
째 312
 
1.8%
시 304
 
1.8%
토 200
 
1.2%
Other values (253) 5619
33.1%
Uppercase Letter
ValueCountFrequency (%)
B 44
35.8%
L 20
16.3%
T 16
 
13.0%
E 6
 
4.9%
M 5
 
4.1%
O 5
 
4.1%
N 4
 
3.3%
I 3
 
2.4%
R 3
 
2.4%
P 3
 
2.4%
Other values (9) 14
 
11.4%
Lowercase Letter
ValueCountFrequency (%)
e 113
20.3%
r 91
16.3%
a 67
12.0%
t 56
10.0%
m 51
9.1%
i 44
 
7.9%
k 44
 
7.9%
s 25
 
4.5%
d 25
 
4.5%
o 22
 
3.9%
Other values (7) 20
 
3.6%
Decimal Number
ValueCountFrequency (%)
0 11146
53.0%
1 3919
 
18.6%
2 2774
 
13.2%
3 1381
 
6.6%
9 432
 
2.1%
7 379
 
1.8%
5 313
 
1.5%
4 270
 
1.3%
8 252
 
1.2%
6 175
 
0.8%
Other Punctuation
ValueCountFrequency (%)
: 5185
93.9%
, 189
 
3.4%
. 99
 
1.8%
/ 41
 
0.7%
! 4
 
0.1%
? 2
 
< 0.1%
; 2
 
< 0.1%
※ 1
 
< 0.1%
Other Symbol
ValueCountFrequency (%)
♥ 2
33.3%
◎ 2
33.3%
★ 1
16.7%
☆ 1
16.7%
Math Symbol
ValueCountFrequency (%)
~ 2571
72.2%
| 989
 
27.8%
Close Punctuation
ValueCountFrequency (%)
) 83
97.6%
] 2
 
2.4%
Open Punctuation
ValueCountFrequency (%)
( 76
97.4%
[ 2
 
2.6%
Space Separator
ValueCountFrequency (%)
8498
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 38852
68.8%
Hangul 16971
30.0%
Latin 681
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 4101
24.2%
매 1758
 
10.4%
요 1727
 
10.2%
휴 1035
 
6.1%
무 934
 
5.5%
주 543
 
3.2%
월 438
 
2.6%
째 312
 
1.8%
시 304
 
1.8%
토 200
 
1.2%
Other values (253) 5619
33.1%
Latin
ValueCountFrequency (%)
e 113
16.6%
r 91
13.4%
a 67
9.8%
t 56
8.2%
m 51
7.5%
i 44
 
6.5%
k 44
 
6.5%
B 44
 
6.5%
s 25
 
3.7%
d 25
 
3.7%
Other values (26) 121
17.8%
Common
ValueCountFrequency (%)
0 11146
28.7%
8498
21.9%
: 5185
13.3%
1 3919
 
10.1%
2 2774
 
7.1%
~ 2571
 
6.6%
3 1381
 
3.6%
| 989
 
2.5%
9 432
 
1.1%
7 379
 
1.0%
Other values (21) 1578
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39526
70.0%
Hangul 16971
30.0%
Misc Symbols 4
 
< 0.1%
Geometric Shapes 2
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11146
28.2%
8498
21.5%
: 5185
13.1%
1 3919
 
9.9%
2 2774
 
7.0%
~ 2571
 
6.5%
3 1381
 
3.5%
| 989
 
2.5%
9 432
 
1.1%
7 379
 
1.0%
Other values (52) 2252
 
5.7%
Hangul
ValueCountFrequency (%)
일 4101
24.2%
매 1758
 
10.4%
요 1727
 
10.2%
휴 1035
 
6.1%
무 934
 
5.5%
주 543
 
3.2%
월 438
 
2.6%
째 312
 
1.8%
시 304
 
1.8%
토 200
 
1.2%
Other values (253) 5619
33.1%
Misc Symbols
ValueCountFrequency (%)
♥ 2
50.0%
★ 1
25.0%
☆ 1
25.0%
Geometric Shapes
ValueCountFrequency (%)
◎ 2
100.0%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%

영업시간 내용
Text

MISSING 

Distinct1227
Distinct (%)56.9%
Missing7844
Missing (%)78.4%
Memory size156.2 KiB
2023-12-16T15:19:13.948034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length649
Median length14
Mean length29.835343
Min length6

Characters and Unicode

Total characters64325
Distinct characters330
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1063 ?
Unique (%)49.3%

Sample

1st row매일 16:00~03:00
2nd row평일 10:00~20:00 일요일은 휴무
3rd row매일 10:00~20:00
4th row평일 11:00~20:00
5th row화요일 휴무 | 주말 10:00~19:00 재료소진시 마감 | 평일 10:00~19:00 재료소진시 마감
ValueCountFrequency (%)
매일 1851
 
17.2%
1047
 
9.7%
휴무 593
 
5.5%
일요일 444
 
4.1%
평일 268
 
2.5%
월요일 229
 
2.1%
토요일 205
 
1.9%
매주 181
 
1.7%
10:00~22:00 177
 
1.6%
11:00~21:00 162
 
1.5%
Other values (1068) 5630
52.2%
2023-12-16T15:19:17.035434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 13801
21.5%
9197
14.3%
: 6377
9.9%
1 4822
 
7.5%
일 4308
 
6.7%
2 3391
 
5.3%
~ 3167
 
4.9%
매 2167
 
3.4%
3 1641
 
2.6%
요 1547
 
2.4%
Other values (320) 13907
21.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 25809
40.1%
Other Letter 17433
27.1%
Space Separator 9197
 
14.3%
Other Punctuation 6818
 
10.6%
Math Symbol 4156
 
6.5%
Lowercase Letter 558
 
0.9%
Uppercase Letter 123
 
0.2%
Close Punctuation 86
 
0.1%
Open Punctuation 78
 
0.1%
Dash Punctuation 43
 
0.1%
Other values (2) 24
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 4308
24.7%
매 2167
 
12.4%
요 1547
 
8.9%
휴 1011
 
5.8%
무 915
 
5.2%
주 585
 
3.4%
월 375
 
2.2%
째 312
 
1.8%
시 304
 
1.7%
평 269
 
1.5%
Other values (253) 5640
32.4%
Uppercase Letter
ValueCountFrequency (%)
B 44
35.8%
L 20
16.3%
T 16
 
13.0%
E 6
 
4.9%
O 5
 
4.1%
M 5
 
4.1%
N 4
 
3.3%
P 3
 
2.4%
R 3
 
2.4%
I 3
 
2.4%
Other values (9) 14
 
11.4%
Lowercase Letter
ValueCountFrequency (%)
e 113
20.3%
r 91
16.3%
a 67
12.0%
t 56
10.0%
m 51
9.1%
i 44
 
7.9%
k 44
 
7.9%
s 25
 
4.5%
d 25
 
4.5%
o 22
 
3.9%
Other values (7) 20
 
3.6%
Decimal Number
ValueCountFrequency (%)
0 13801
53.5%
1 4822
 
18.7%
2 3391
 
13.1%
3 1641
 
6.4%
9 538
 
2.1%
7 455
 
1.8%
5 334
 
1.3%
8 318
 
1.2%
4 298
 
1.2%
6 211
 
0.8%
Other Punctuation
ValueCountFrequency (%)
: 6377
93.5%
, 292
 
4.3%
. 99
 
1.5%
/ 41
 
0.6%
! 4
 
0.1%
? 2
 
< 0.1%
; 2
 
< 0.1%
※ 1
 
< 0.1%
Other Symbol
ValueCountFrequency (%)
♥ 2
33.3%
◎ 2
33.3%
☆ 1
16.7%
★ 1
16.7%
Math Symbol
ValueCountFrequency (%)
~ 3167
76.2%
| 989
 
23.8%
Close Punctuation
ValueCountFrequency (%)
) 84
97.7%
] 2
 
2.3%
Open Punctuation
ValueCountFrequency (%)
( 76
97.4%
[ 2
 
2.6%
Space Separator
ValueCountFrequency (%)
9197
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 46211
71.8%
Hangul 17433
 
27.1%
Latin 681
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 4308
24.7%
매 2167
 
12.4%
요 1547
 
8.9%
휴 1011
 
5.8%
무 915
 
5.2%
주 585
 
3.4%
월 375
 
2.2%
째 312
 
1.8%
시 304
 
1.7%
평 269
 
1.5%
Other values (253) 5640
32.4%
Latin
ValueCountFrequency (%)
e 113
16.6%
r 91
13.4%
a 67
9.8%
t 56
8.2%
m 51
7.5%
i 44
 
6.5%
B 44
 
6.5%
k 44
 
6.5%
s 25
 
3.7%
d 25
 
3.7%
Other values (26) 121
17.8%
Common
ValueCountFrequency (%)
0 13801
29.9%
9197
19.9%
: 6377
13.8%
1 4822
 
10.4%
2 3391
 
7.3%
~ 3167
 
6.9%
3 1641
 
3.6%
| 989
 
2.1%
9 538
 
1.2%
7 455
 
1.0%
Other values (21) 1833
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 46885
72.9%
Hangul 17433
 
27.1%
Misc Symbols 4
 
< 0.1%
Geometric Shapes 2
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 13801
29.4%
9197
19.6%
: 6377
13.6%
1 4822
 
10.3%
2 3391
 
7.2%
~ 3167
 
6.8%
3 1641
 
3.5%
| 989
 
2.1%
9 538
 
1.1%
7 455
 
1.0%
Other values (52) 2507
 
5.3%
Hangul
ValueCountFrequency (%)
일 4308
24.7%
매 2167
 
12.4%
요 1547
 
8.9%
휴 1011
 
5.8%
무 915
 
5.2%
주 585
 
3.4%
월 375
 
2.2%
째 312
 
1.8%
시 304
 
1.7%
평 269
 
1.5%
Other values (253) 5640
32.4%
Misc Symbols
ValueCountFrequency (%)
♥ 2
50.0%
☆ 1
25.0%
★ 1
25.0%
Geometric Shapes
ValueCountFrequency (%)
◎ 2
100.0%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%

배달서비스 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9554 
True
 
446
ValueCountFrequency (%)
False 9554
95.5%
True 446
 
4.5%
2023-12-16T15:19:18.736594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

온라인 예약 정보 내용
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5267 
네이버, 레드테이블
4365 
레드테이블
 
338
레드테이블,네이버
 
23
네이버
 
7

Length

Max length10
Median length4
Mean length6.6636
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5267
52.7%
네이버, 레드테이블 4365
43.6%
레드테이블 338
 
3.4%
레드테이블,네이버 23
 
0.2%
네이버 7
 
0.1%

Length

2023-12-16T15:19:19.458274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:19:20.225062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5267
36.7%
레드테이블 4703
32.7%
네이버 4372
30.4%
레드테이블,네이버 23
 
0.2%

홈페이지
Text

MISSING 

Distinct767
Distinct (%)97.8%
Missing9216
Missing (%)92.2%
Memory size156.2 KiB
2023-12-16T15:19:21.955790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length245
Median length102
Mean length36.642857
Min length15

Characters and Unicode

Total characters28728
Distinct characters207
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

Unique754 ?
Unique (%)96.2%

Sample

1st rowhttp://www.intagram.com/modern_im_kun
2nd rowhttp://blog.naver.com/huhu1205
3rd rowhttp://0619216090.tshome.co.kr/
4th rowhttp://www.intagram.com/nanda_gorae00
5th rowhttps://www.instagram.com/themiju120
ValueCountFrequency (%)
https://www.instagram.com 5
 
0.6%
http://www.bbq.co.kr 3
 
0.4%
http://www.koafs.com 2
 
0.3%
http://www.bhc.co.kr 2
 
0.3%
http://www.twozzim.com 2
 
0.3%
https://www.bonif.co.kr/menu/list?brdcd=bf102 2
 
0.3%
http://www.paris.co.kr 2
 
0.3%
https://cafe.naver.com 2
 
0.3%
http://intagram.com/yeou_kko 2
 
0.3%
http://cafederome.co.kr 2
 
0.3%
Other values (756) 760
96.9%
2023-12-16T15:19:24.349487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 2670
 
9.3%
t 2588
 
9.0%
o 2026
 
7.1%
a 1829
 
6.4%
. 1756
 
6.1%
m 1385
 
4.8%
h 1210
 
4.2%
c 1122
 
3.9%
n 1122
 
3.9%
p 1086
 
3.8%
Other values (197) 11934
41.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 20640
71.8%
Other Punctuation 5452
 
19.0%
Decimal Number 1747
 
6.1%
Connector Punctuation 364
 
1.3%
Other Letter 206
 
0.7%
Uppercase Letter 205
 
0.7%
Dash Punctuation 61
 
0.2%
Math Symbol 53
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
집 8
 
3.9%
맛 6
 
2.9%
식 5
 
2.4%
포 5
 
2.4%
도 5
 
2.4%
순 5
 
2.4%
영 4
 
1.9%
천 4
 
1.9%
한 4
 
1.9%
기 4
 
1.9%
Other values (122) 156
75.7%
Lowercase Letter
ValueCountFrequency (%)
t 2588
12.5%
o 2026
 
9.8%
a 1829
 
8.9%
m 1385
 
6.7%
h 1210
 
5.9%
c 1122
 
5.4%
n 1122
 
5.4%
p 1086
 
5.3%
w 1071
 
5.2%
r 1022
 
5.0%
Other values (16) 6179
29.9%
Uppercase Letter
ValueCountFrequency (%)
M 16
 
7.8%
C 15
 
7.3%
N 14
 
6.8%
B 13
 
6.3%
A 12
 
5.9%
Y 10
 
4.9%
R 10
 
4.9%
O 9
 
4.4%
Q 9
 
4.4%
K 9
 
4.4%
Other values (16) 88
42.9%
Other Punctuation
ValueCountFrequency (%)
/ 2670
49.0%
. 1756
32.2%
: 882
 
16.2%
, 86
 
1.6%
? 43
 
0.8%
& 8
 
0.1%
% 3
 
0.1%
@ 2
 
< 0.1%
# 1
 
< 0.1%
* 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 330
18.9%
0 240
13.7%
2 213
12.2%
6 178
10.2%
4 169
9.7%
7 145
8.3%
3 126
 
7.2%
9 122
 
7.0%
5 115
 
6.6%
8 109
 
6.2%
Connector Punctuation
ValueCountFrequency (%)
_ 364
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%
Math Symbol
ValueCountFrequency (%)
= 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 20845
72.6%
Common 7677
 
26.7%
Hangul 206
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
집 8
 
3.9%
맛 6
 
2.9%
식 5
 
2.4%
포 5
 
2.4%
도 5
 
2.4%
순 5
 
2.4%
영 4
 
1.9%
천 4
 
1.9%
한 4
 
1.9%
기 4
 
1.9%
Other values (122) 156
75.7%
Latin
ValueCountFrequency (%)
t 2588
12.4%
o 2026
 
9.7%
a 1829
 
8.8%
m 1385
 
6.6%
h 1210
 
5.8%
c 1122
 
5.4%
n 1122
 
5.4%
p 1086
 
5.2%
w 1071
 
5.1%
r 1022
 
4.9%
Other values (42) 6384
30.6%
Common
ValueCountFrequency (%)
/ 2670
34.8%
. 1756
22.9%
: 882
 
11.5%
_ 364
 
4.7%
1 330
 
4.3%
0 240
 
3.1%
2 213
 
2.8%
6 178
 
2.3%
4 169
 
2.2%
7 145
 
1.9%
Other values (13) 730
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28522
99.3%
Hangul 206
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 2670
 
9.4%
t 2588
 
9.1%
o 2026
 
7.1%
a 1829
 
6.4%
. 1756
 
6.2%
m 1385
 
4.9%
h 1210
 
4.2%
c 1122
 
3.9%
n 1122
 
3.9%
p 1086
 
3.8%
Other values (65) 11728
41.1%
Hangul
ValueCountFrequency (%)
집 8
 
3.9%
맛 6
 
2.9%
식 5
 
2.4%
포 5
 
2.4%
도 5
 
2.4%
순 5
 
2.4%
영 4
 
1.9%
천 4
 
1.9%
한 4
 
1.9%
기 4
 
1.9%
Other values (122) 156
75.7%

인근 랜드마크 명
Text

MISSING 

Distinct885
Distinct (%)12.6%
Missing2967
Missing (%)29.7%
Memory size156.2 KiB
2023-12-16T15:19:25.491060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length22
Mean length7.5141476
Min length2

Characters and Unicode

Total characters52847
Distinct characters494
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

Unique228 ?
Unique (%)3.2%

Sample

1st row남파랑길71코스 시작점
2nd row화순 수만리들국화마을
3rd row신북장 (3, 8일)
4th row춤추는 바다분수
5th row남파랑길50코스 시작점
ValueCountFrequency (%)
순천 250
 
2.4%
목포 218
 
2.1%
기적의도서관 172
 
1.7%
시작점 157
 
1.5%
신중앙시장 141
 
1.4%
빛가람 131
 
1.3%
종점 120
 
1.2%
여수 111
 
1.1%
하당재래시장 98
 
1.0%
6일 98
 
1.0%
Other values (1065) 8745
85.4%
2023-12-16T15:19:27.558524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3220
 
6.1%
장 3154
 
6.0%
시 2655
 
5.0%
수 968
 
1.8%
원 956
 
1.8%
( 921
 
1.7%
) 921
 
1.7%
도 916
 
1.7%
순 769
 
1.5%
일 767
 
1.5%
Other values (484) 37600
71.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45500
86.1%
Space Separator 3220
 
6.1%
Decimal Number 1599
 
3.0%
Open Punctuation 935
 
1.8%
Close Punctuation 935
 
1.8%
Other Punctuation 573
 
1.1%
Uppercase Letter 62
 
0.1%
Lowercase Letter 11
 
< 0.1%
Connector Punctuation 8
 
< 0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 3154
 
6.9%
시 2655
 
5.8%
수 968
 
2.1%
원 956
 
2.1%
도 916
 
2.0%
순 769
 
1.7%
일 767
 
1.7%
관 749
 
1.6%
남 747
 
1.6%
화 744
 
1.6%
Other values (446) 33075
72.7%
Decimal Number
ValueCountFrequency (%)
5 359
22.5%
1 230
14.4%
3 164
10.3%
6 144
9.0%
8 140
 
8.8%
7 126
 
7.9%
2 117
 
7.3%
4 117
 
7.3%
0 116
 
7.3%
9 86
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
a 2
18.2%
y 1
9.1%
o 1
9.1%
r 1
9.1%
e 1
9.1%
u 1
9.1%
i 1
9.1%
t 1
9.1%
l 1
9.1%
m 1
9.1%
Uppercase Letter
ValueCountFrequency (%)
G 24
38.7%
B 16
25.8%
S 11
17.7%
O 4
 
6.5%
I 4
 
6.5%
K 2
 
3.2%
Q 1
 
1.6%
Other Punctuation
ValueCountFrequency (%)
, 449
78.4%
/ 107
 
18.7%
& 14
 
2.4%
· 3
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 921
98.5%
[ 14
 
1.5%
Close Punctuation
ValueCountFrequency (%)
) 921
98.5%
] 14
 
1.5%
Space Separator
ValueCountFrequency (%)
3220
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45500
86.1%
Common 7274
 
13.8%
Latin 73
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 3154
 
6.9%
시 2655
 
5.8%
수 968
 
2.1%
원 956
 
2.1%
도 916
 
2.0%
순 769
 
1.7%
일 767
 
1.7%
관 749
 
1.6%
남 747
 
1.6%
화 744
 
1.6%
Other values (446) 33075
72.7%
Common
ValueCountFrequency (%)
3220
44.3%
( 921
 
12.7%
) 921
 
12.7%
, 449
 
6.2%
5 359
 
4.9%
1 230
 
3.2%
3 164
 
2.3%
6 144
 
2.0%
8 140
 
1.9%
7 126
 
1.7%
Other values (11) 600
 
8.2%
Latin
ValueCountFrequency (%)
G 24
32.9%
B 16
21.9%
S 11
15.1%
O 4
 
5.5%
I 4
 
5.5%
K 2
 
2.7%
a 2
 
2.7%
y 1
 
1.4%
o 1
 
1.4%
r 1
 
1.4%
Other values (7) 7
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45500
86.1%
ASCII 7344
 
13.9%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3220
43.8%
( 921
 
12.5%
) 921
 
12.5%
, 449
 
6.1%
5 359
 
4.9%
1 230
 
3.1%
3 164
 
2.2%
6 144
 
2.0%
8 140
 
1.9%
7 126
 
1.7%
Other values (27) 670
 
9.1%
Hangul
ValueCountFrequency (%)
장 3154
 
6.9%
시 2655
 
5.8%
수 968
 
2.1%
원 956
 
2.1%
도 916
 
2.0%
순 769
 
1.7%
일 767
 
1.7%
관 749
 
1.6%
남 747
 
1.6%
화 744
 
1.6%
Other values (446) 33075
72.7%
None
ValueCountFrequency (%)
· 3
100.0%

인근 랜드마크 위도
Real number (ℝ)

MISSING 

Distinct867
Distinct (%)12.3%
Missing2967
Missing (%)29.7%
Infinite0
Infinite (%)0.0%
Mean34.85372
Minimum33.986616
Maximum35.459097
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-16T15:19:28.205409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.986616
5-th percentile34.479691
Q134.748462
median34.807587
Q334.969553
95-th percentile35.278595
Maximum35.459097
Range1.4724805
Interquartile range (IQR)0.2210903

Descriptive statistics

Standard deviation0.22231464
Coefficient of variation (CV)0.0063785053
Kurtosis0.7636771
Mean34.85372
Median Absolute Deviation (MAD)0.1393279
Skewness-0.13808772
Sum245126.21
Variance0.049423797
MonotonicityNot monotonic
2023-12-16T15:19:28.709653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.9472022 172
 
1.7%
35.0168707 131
 
1.3%
34.8035582 98
 
1.0%
34.8035666 91
 
0.9%
34.9660833 83
 
0.8%
34.7744209 82
 
0.8%
34.8097389 77
 
0.8%
34.8022611 72
 
0.7%
34.7987977 69
 
0.7%
34.7606283 68
 
0.7%
Other values (857) 6090
60.9%
(Missing) 2967
29.7%
ValueCountFrequency (%)
33.9866161 1
 
< 0.1%
34.0198271 1
 
< 0.1%
34.0274902 12
0.1%
34.1404264 1
 
< 0.1%
34.1452971 2
 
< 0.1%
34.1625155 1
 
< 0.1%
34.163116 1
 
< 0.1%
34.1671138 2
 
< 0.1%
34.1722722 1
 
< 0.1%
34.1761531 3
 
< 0.1%
ValueCountFrequency (%)
35.4590966 1
 
< 0.1%
35.4398296 1
 
< 0.1%
35.4287689 5
0.1%
35.4277414 4
< 0.1%
35.4044109 1
 
< 0.1%
35.4029405 2
 
< 0.1%
35.4019891 1
 
< 0.1%
35.392969 1
 
< 0.1%
35.3739798 1
 
< 0.1%
35.3723345 1
 
< 0.1%

인근 랜드마크 경도
Real number (ℝ)

MISSING 

Distinct868
Distinct (%)12.3%
Missing2967
Missing (%)29.7%
Infinite0
Infinite (%)0.0%
Mean127.05139
Minimum125.19207
Maximum127.804
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-16T15:19:29.371508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum125.19207
5-th percentile126.36898
Q1126.47525
median126.9896
Q3127.57778
95-th percentile127.73259
Maximum127.804
Range2.6119332
Interquartile range (IQR)1.1025344

Descriptive statistics

Standard deviation0.53076604
Coefficient of variation (CV)0.0041775698
Kurtosis-1.5434235
Mean127.05139
Median Absolute Deviation (MAD)0.5380841
Skewness-0.098613914
Sum893552.42
Variance0.28171259
MonotonicityNot monotonic
2023-12-16T15:19:30.000287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.5276812 172
 
1.7%
126.7904499 131
 
1.3%
126.4258249 98
 
1.0%
126.4352374 91
 
0.9%
127.522034 83
 
0.8%
127.6475917 82
 
0.8%
126.3770387 77
 
0.8%
126.4257707 72
 
0.7%
126.4306953 69
 
0.7%
127.6667404 68
 
0.7%
Other values (858) 6090
60.9%
(Missing) 2967
29.7%
ValueCountFrequency (%)
125.1920717 2
 
< 0.1%
125.937452 6
0.1%
125.9534703 7
0.1%
125.981014 1
 
< 0.1%
126.0363653 1
 
< 0.1%
126.036668 1
 
< 0.1%
126.0396037 5
0.1%
126.0474244 8
0.1%
126.0477937 5
0.1%
126.0701422 2
 
< 0.1%
ValueCountFrequency (%)
127.8040049 6
0.1%
127.8005994 3
< 0.1%
127.7930907 1
 
< 0.1%
127.7927327 2
 
< 0.1%
127.7876949 3
< 0.1%
127.787357 1
 
< 0.1%
127.7867005 1
 
< 0.1%
127.7772935 2
 
< 0.1%
127.776943 1
 
< 0.1%
127.7759328 2
 
< 0.1%

인근 랜드마크와의 거리
Real number (ℝ)

MISSING 

Distinct6537
Distinct (%)92.9%
Missing2967
Missing (%)29.7%
Infinite0
Infinite (%)0.0%
Mean280.05328
Minimum0
Maximum699.85682
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-16T15:19:30.758873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29.836208
Q1121.4257
median245.37993
Q3422.95631
95-th percentile626.57461
Maximum699.85682
Range699.85682
Interquartile range (IQR)301.53061

Descriptive statistics

Standard deviation188.44162
Coefficient of variation (CV)0.67287775
Kurtosis-0.87637539
Mean280.05328
Median Absolute Deviation (MAD)142.01683
Skewness0.46753721
Sum1969614.7
Variance35510.244
MonotonicityNot monotonic
2023-12-16T15:19:31.757758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64.25088 17
 
0.2%
2.76613 12
 
0.1%
19.92966 11
 
0.1%
20.63133 9
 
0.1%
0.70322 6
 
0.1%
73.72796 6
 
0.1%
53.23668 6
 
0.1%
6.89625 6
 
0.1%
5.35227 6
 
0.1%
53.38398 5
 
0.1%
Other values (6527) 6949
69.5%
(Missing) 2967
29.7%
ValueCountFrequency (%)
0.0 2
< 0.1%
0.01112 2
< 0.1%
0.15674 3
< 0.1%
0.18034 1
 
< 0.1%
0.20099 1
 
< 0.1%
0.22821 2
< 0.1%
0.29167 1
 
< 0.1%
0.34353 2
< 0.1%
0.40866 1
 
< 0.1%
0.42874 3
< 0.1%
ValueCountFrequency (%)
699.85682 1
< 0.1%
699.59525 1
< 0.1%
699.2233 1
< 0.1%
699.20092 1
< 0.1%
699.12695 1
< 0.1%
699.12469 1
< 0.1%
698.81917 1
< 0.1%
698.61819 1
< 0.1%
697.49152 1
< 0.1%
697.33021 1
< 0.1%

스마트 오더 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9943 
True
 
57
ValueCountFrequency (%)
False 9943
99.4%
True 57
 
0.6%
2023-12-16T15:19:32.688586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

대표메뉴명
Text

MISSING 

Distinct1969
Distinct (%)97.5%
Missing7980
Missing (%)79.8%
Memory size156.2 KiB
2023-12-16T15:19:33.673638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length124
Median length64
Mean length28.107426
Min length1

Characters and Unicode

Total characters56777
Distinct characters712
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1942 ?
Unique (%)96.1%

Sample

1st row모던눈꽃떡볶이,모던순살(single),모던통닭(single),콰트로피자
2nd row뱅글뱅글쿠키,아몬드 크랜베리 비스코티,코코넛 아몬드 쿠키,코코넛 크랜베리 쿠키
3rd row삼겹살
4th row피자
5th row막창국밥,새끼보국밥,소머리국밥,암뽕순대국밥
ValueCountFrequency (%)
간짜장,우동,짜장면,짬뽕 9
 
0.3%
大 9
 
0.3%
간짜장,우동,짜장,짬뽕 8
 
0.3%
수제 7
 
0.3%
1인 6
 
0.2%
6
 
0.2%
광어 6
 
0.2%
커피 6
 
0.2%
백반 5
 
0.2%
삼겹살 5
 
0.2%
Other values (2512) 2624
97.5%
2023-12-16T15:19:35.729342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 5392
 
9.5%
) 3305
 
5.8%
( 3300
 
5.8%
0 1450
 
2.6%
인 1228
 
2.2%
1 1195
 
2.1%
탕 1017
 
1.8%
g 949
 
1.7%
리 938
 
1.7%
이 865
 
1.5%
Other values (702) 37138
65.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37095
65.3%
Other Punctuation 6204
 
10.9%
Decimal Number 4395
 
7.7%
Close Punctuation 3307
 
5.8%
Open Punctuation 3302
 
5.8%
Lowercase Letter 1204
 
2.1%
Space Separator 674
 
1.2%
Uppercase Letter 393
 
0.7%
Math Symbol 152
 
0.3%
Connector Punctuation 27
 
< 0.1%
Other values (2) 24
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 1228
 
3.3%
탕 1017
 
2.7%
리 938
 
2.5%
이 865
 
2.3%
대 656
 
1.8%
어 652
 
1.8%
기 631
 
1.7%
장 596
 
1.6%
지 536
 
1.4%
비 530
 
1.4%
Other values (629) 29446
79.4%
Uppercase Letter
ValueCountFrequency (%)
E 54
13.7%
I 52
13.2%
C 50
12.7%
O 40
10.2%
H 36
9.2%
T 35
8.9%
A 29
7.4%
B 19
 
4.8%
L 13
 
3.3%
D 9
 
2.3%
Other values (13) 56
14.2%
Lowercase Letter
ValueCountFrequency (%)
g 949
78.8%
k 89
 
7.4%
e 24
 
2.0%
p 23
 
1.9%
c 18
 
1.5%
i 17
 
1.4%
l 15
 
1.2%
t 13
 
1.1%
s 12
 
1.0%
m 9
 
0.7%
Other values (10) 35
 
2.9%
Decimal Number
ValueCountFrequency (%)
0 1450
33.0%
1 1195
27.2%
2 772
17.6%
5 301
 
6.8%
3 242
 
5.5%
4 216
 
4.9%
8 99
 
2.3%
6 71
 
1.6%
7 40
 
0.9%
9 9
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 5392
86.9%
/ 724
 
11.7%
. 44
 
0.7%
& 18
 
0.3%
: 13
 
0.2%
· 5
 
0.1%
% 4
 
0.1%
* 3
 
< 0.1%
! 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 3305
99.9%
] 2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 3300
99.9%
[ 2
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 83
54.6%
+ 69
45.4%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%
Space Separator
ValueCountFrequency (%)
674
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36779
64.8%
Common 18083
31.8%
Latin 1599
 
2.8%
Han 316
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 1228
 
3.3%
탕 1017
 
2.8%
리 938
 
2.6%
이 865
 
2.4%
대 656
 
1.8%
어 652
 
1.8%
기 631
 
1.7%
장 596
 
1.6%
지 536
 
1.5%
비 530
 
1.4%
Other values (624) 29130
79.2%
Latin
ValueCountFrequency (%)
g 949
59.3%
k 89
 
5.6%
E 54
 
3.4%
I 52
 
3.3%
C 50
 
3.1%
O 40
 
2.5%
H 36
 
2.3%
T 35
 
2.2%
A 29
 
1.8%
e 24
 
1.5%
Other values (35) 241
 
15.1%
Common
ValueCountFrequency (%)
, 5392
29.8%
) 3305
18.3%
( 3300
18.2%
0 1450
 
8.0%
1 1195
 
6.6%
2 772
 
4.3%
/ 724
 
4.0%
674
 
3.7%
5 301
 
1.7%
3 242
 
1.3%
Other values (18) 728
 
4.0%
Han
ValueCountFrequency (%)
大 249
78.8%
人 26
 
8.2%
中 23
 
7.3%
小 17
 
5.4%
日 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36777
64.8%
ASCII 19675
34.7%
CJK 316
 
0.6%
None 5
 
< 0.1%
Compat Jamo 2
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 5392
27.4%
) 3305
16.8%
( 3300
16.8%
0 1450
 
7.4%
1 1195
 
6.1%
g 949
 
4.8%
2 772
 
3.9%
/ 724
 
3.7%
674
 
3.4%
5 301
 
1.5%
Other values (60) 1613
 
8.2%
Hangul
ValueCountFrequency (%)
인 1228
 
3.3%
탕 1017
 
2.8%
리 938
 
2.6%
이 865
 
2.4%
대 656
 
1.8%
어 652
 
1.8%
기 631
 
1.7%
장 596
 
1.6%
지 536
 
1.5%
비 530
 
1.4%
Other values (623) 29128
79.2%
CJK
ValueCountFrequency (%)
大 249
78.8%
人 26
 
8.2%
中 23
 
7.3%
小 17
 
5.4%
日 1
 
0.3%
None
ValueCountFrequency (%)
· 5
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%

식당상태
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
NORMAL
10000 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
NORMAL 10000
100.0%

Length

2023-12-16T15:19:36.691796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:19:37.343437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
normal 10000
100.0%

해시태그
Categorical

IMBALANCE 

Distinct37
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9017 
씨트립
 
329
모범음식점,안심식당
 
148
안심식당
 
141
모범음식점
 
78
Other values (32)
 
287

Length

Max length32
Median length4
Mean length4.2416
Min length3

Unique

Unique11 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9017
90.2%
씨트립 329
 
3.3%
모범음식점,안심식당 148
 
1.5%
안심식당 141
 
1.4%
모범음식점 78
 
0.8%
트립어드바이저 78
 
0.8%
포장가능 42
 
0.4%
모범음식점,안심식당,트립어드바이저 29
 
0.3%
씨트립,트립어드바이저 23
 
0.2%
모범음식점,씨트립,안심식당 19
 
0.2%
Other values (27) 96
 
1.0%

Length

2023-12-16T15:19:38.100779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9017
90.1%
씨트립 329
 
3.3%
모범음식점,안심식당 148
 
1.5%
안심식당 141
 
1.4%
모범음식점 78
 
0.8%
트립어드바이저 78
 
0.8%
포장가능 42
 
0.4%
모범음식점,안심식당,트립어드바이저 29
 
0.3%
씨트립,트립어드바이저 23
 
0.2%
모범음식점,씨트립,안심식당 19
 
0.2%
Other values (28) 105
 
1.0%

면적정보 내용
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)98.1%
Missing9946
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean73.336111
Minimum3.57
Maximum552.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-16T15:19:39.183112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.57
5-th percentile18.81
Q135.0875
median53.3
Q381.1425
95-th percentile150.15
Maximum552.3
Range548.73
Interquartile range (IQR)46.055

Descriptive statistics

Standard deviation80.794066
Coefficient of variation (CV)1.1016955
Kurtosis23.762
Mean73.336111
Median Absolute Deviation (MAD)23.85
Skewness4.3382298
Sum3960.15
Variance6527.6811
MonotonicityNot monotonic
2023-12-16T15:19:39.978373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44.62 2
 
< 0.1%
24.12 1
 
< 0.1%
60.0 1
 
< 0.1%
87.02 1
 
< 0.1%
79.0 1
 
< 0.1%
552.3 1
 
< 0.1%
72.03 1
 
< 0.1%
126.03 1
 
< 0.1%
36.0 1
 
< 0.1%
21.42 1
 
< 0.1%
Other values (43) 43
 
0.4%
(Missing) 9946
99.5%
ValueCountFrequency (%)
3.57 1
< 0.1%
10.56 1
< 0.1%
16.6 1
< 0.1%
20.0 1
< 0.1%
20.48 1
< 0.1%
21.42 1
< 0.1%
24.12 1
< 0.1%
25.2 1
< 0.1%
26.8 1
< 0.1%
27.72 1
< 0.1%
ValueCountFrequency (%)
552.3 1
< 0.1%
268.92 1
< 0.1%
156.0 1
< 0.1%
147.0 1
< 0.1%
130.61 1
< 0.1%
127.87 1
< 0.1%
126.03 1
< 0.1%
123.79 1
< 0.1%
117.6 1
< 0.1%
113.13 1
< 0.1%

Sample

식당ID식당명지점명지역명주차가능여부와이파이 제공 여부놀이방 유무다국어 메뉴판제공 여부화장실 정보내용휴무일 정보 내용영업시간 내용배달서비스 유무온라인 예약 정보 내용홈페이지인근 랜드마크 명인근 랜드마크 위도인근 랜드마크 경도인근 랜드마크와의 거리스마트 오더 유무대표메뉴명식당상태해시태그면적정보 내용
19927653353코끼리상회<NA>고흥군NNNNN<NA><NA>N<NA><NA>남파랑길71코스 시작점34.532353127.139331222.57376N<NA>NORMAL<NA><NA>
16749200916들국화찻집<NA>화순군NNNNN<NA><NA>N네이버, 레드테이블<NA>화순 수만리들국화마을35.098385127.003579230.29748N<NA>NORMAL<NA><NA>
13648193724돈키돈키신북분점영암군NNNNN<NA><NA>N네이버, 레드테이블<NA>신북장 (3, 8일)34.888435126.692522167.53609N<NA>NORMAL씨트립<NA>
12636191983모던통닭 피자마루평화광장점목포시YYNYY<NA>매일 16:00~03:00Y<NA>http://www.intagram.com/modern_im_kun춤추는 바다분수34.798798126.430695135.6855N모던눈꽃떡볶이,모던순살(single),모던통닭(single),콰트로피자NORMAL<NA><NA>
14262194636김밥나라삼호점영암군NNNNN<NA><NA>N네이버, 레드테이블<NA><NA><NA><NA><NA>N<NA>NORMAL씨트립<NA>
8087173968달보드레<NA>광양시NNNYN평일 10:00~20:00 일요일은 휴무평일 10:00~20:00 일요일은 휴무N네이버, 레드테이블<NA>남파랑길50코스 시작점34.930507127.694286427.2618N뱅글뱅글쿠키,아몬드 크랜베리 비스코티,코코넛 아몬드 쿠키,코코넛 크랜베리 쿠키NORMAL<NA><NA>
13091192845개랭이분식<NA>순천시NNNNN<NA>매일 10:00~20:00N<NA><NA>순천 낙안읍성34.907095127.339796271.94486N<NA>NORMAL<NA><NA>
27121961829광이슈퍼식당<NA>나주시NNNNN<NA><NA>N<NA><NA><NA><NA><NA><NA>N<NA>NORMAL<NA><NA>
11380184338투모아궁전점순천시NNNNN<NA><NA>N네이버, 레드테이블<NA>옥천서원(순천)34.952206127.478713181.30578N<NA>NORMAL<NA><NA>
20453658230오센집<NA>구례군NNNNN<NA><NA>N<NA><NA>구례5일장 / 구례전통시장(3, 8일)35.210775127.46987871.98124N<NA>NORMAL<NA><NA>
식당ID식당명지점명지역명주차가능여부와이파이 제공 여부놀이방 유무다국어 메뉴판제공 여부화장실 정보내용휴무일 정보 내용영업시간 내용배달서비스 유무온라인 예약 정보 내용홈페이지인근 랜드마크 명인근 랜드마크 위도인근 랜드마크 경도인근 랜드마크와의 거리스마트 오더 유무대표메뉴명식당상태해시태그면적정보 내용
13577193615옥향식당<NA>진도군NNNNN매일 08:00~22:00매일 08:00~22:00N네이버, 레드테이블<NA>소전미술관(진도군)34.486972126.264648168.10946N꼬리곰탕,내장전골,수육,주물럭(우/1인분)NORMAL<NA><NA>
7089171805신미식당<NA>보성군NNNNN<NA><NA>N네이버, 레드테이블<NA>조성시장 (3, 8일)34.806565127.2457187.5818N<NA>NORMAL<NA><NA>
21518670601하하점핑클럽<NA>광양시NNNNN<NA><NA>N<NA><NA><NA><NA><NA><NA>N<NA>NORMAL<NA><NA>
7862173439조개까는삼촌<NA>광양시NNNYN<NA><NA>N네이버, 레드테이블<NA>광양 도깨비도로34.950214127.696168466.34274N<NA>NORMAL<NA><NA>
391534563더38스트리트<NA>목포시NNNNN<NA><NA>N레드테이블<NA>목포시민문화체육센터 (공연장, 문화시설)34.812355126.438036375.22296N바닐라라떼,아메리카노,에스프레소,카페라떼NORMAL<NA><NA>
23558699385스카이브릿지<NA>순천시NNNNN<NA><NA>N<NA><NA><NA><NA><NA><NA>N<NA>NORMAL<NA><NA>
21157666423도토리 상자<NA>나주시NNNNN<NA><NA>N<NA><NA>빛가람 전망대35.016871126.79045676.29844N<NA>NORMAL<NA><NA>
21939674967구우당<NA>무안군NNNNN<NA><NA>N<NA><NA>오룡시장34.806997126.459747338.49495N<NA>NORMAL<NA><NA>
10185179585커피에빠진붕어전남무안시장점무안군YNNNY매일 09:30~09:00매일 09:30~09:00N네이버, 레드테이블http://coboong.com/무안양파가로등거리34.989485126.4752528.35657N<NA>NORMAL<NA><NA>
398934679국수먹기좋은날<NA>목포시NNNYN<NA>매일 11:00~19:00N레드테이블<NA>노적봉34.791589126.379586344.28378N비빔국수,잔치국수,쫄라,쫄면NORMAL<NA><NA>