Overview

Dataset statistics

Number of variables28
Number of observations3351
Missing cells12973
Missing cells (%)13.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory752.8 KiB
Average record size in memory230.0 B

Variable types

Numeric6
Text5
Categorical5
Boolean12

Dataset

Description강원도 원주시에 위치한 식당의 운영정보를 적어놓은 데이터 입니다.
Author강원도 원주시
URLhttps://www.data.go.kr/data/15099618/fileData.do

Alerts

반려동물입장가능여부 has constant value ""Constant
지역명 is highly imbalanced (98.9%)Imbalance
놀이방유무 is highly imbalanced (92.8%)Imbalance
휴무일정보내용 is highly imbalanced (73.4%)Imbalance
택배판매유무 is highly imbalanced (99.6%)Imbalance
배리어프리유무 is highly imbalanced (92.8%)Imbalance
예약방식명 is highly imbalanced (54.7%)Imbalance
온라인예약정보내용 is highly imbalanced (52.1%)Imbalance
키오스크유무 is highly imbalanced (95.9%)Imbalance
모바일페이먼트유무 is highly imbalanced (82.6%)Imbalance
스마트오더유무 is highly imbalanced (82.6%)Imbalance
영업시간내용 has 1813 (54.1%) missing valuesMissing
홈페이지(URL) has 2636 (78.7%) missing valuesMissing
인근랜드마크명 has 1346 (40.2%) missing valuesMissing
인근랜드마크위도 has 1346 (40.2%) missing valuesMissing
인근랜드마크경도 has 1346 (40.2%) missing valuesMissing
인근랜드마크와거리 has 1346 (40.2%) missing valuesMissing
대표메뉴명 has 3140 (93.7%) missing valuesMissing
식당(ID) has unique valuesUnique
입식좌석수 has 2486 (74.2%) zerosZeros
좌식좌석수 has 2996 (89.4%) zerosZeros

Reproduction

Analysis started2023-12-12 01:44:08.468063
Analysis finished2023-12-12 01:44:09.985166
Duration1.52 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

식당(ID)
Real number (ℝ)

UNIQUE 

Distinct3351
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean474132.26
Minimum1656
Maximum5842391
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.6 KiB
2023-12-12T10:44:10.098175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1656
5-th percentile46252
Q1234149
median442867
Q3711975
95-th percentile946508.5
Maximum5842391
Range5840735
Interquartile range (IQR)477826

Descriptive statistics

Standard deviation305552.49
Coefficient of variation (CV)0.64444569
Kurtosis35.206447
Mean474132.26
Median Absolute Deviation (MAD)241979
Skewness2.3185402
Sum1.5888172 × 109
Variance9.3362324 × 1010
MonotonicityStrictly increasing
2023-12-12T10:44:10.332654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1656 1
 
< 0.1%
633451 1
 
< 0.1%
640155 1
 
< 0.1%
640157 1
 
< 0.1%
640253 1
 
< 0.1%
640666 1
 
< 0.1%
640667 1
 
< 0.1%
640689 1
 
< 0.1%
641314 1
 
< 0.1%
641500 1
 
< 0.1%
Other values (3341) 3341
99.7%
ValueCountFrequency (%)
1656 1
< 0.1%
2200 1
< 0.1%
2497 1
< 0.1%
3057 1
< 0.1%
3058 1
< 0.1%
3178 1
< 0.1%
3427 1
< 0.1%
3428 1
< 0.1%
3646 1
< 0.1%
3948 1
< 0.1%
ValueCountFrequency (%)
5842391 1
< 0.1%
4427821 1
< 0.1%
971500 1
< 0.1%
971492 1
< 0.1%
970965 1
< 0.1%
970705 1
< 0.1%
970505 1
< 0.1%
970387 1
< 0.1%
970166 1
< 0.1%
970156 1
< 0.1%

식당명
Text

Distinct3318
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size26.3 KiB
2023-12-12T10:44:10.808021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length19
Mean length6.828111
Min length1

Characters and Unicode

Total characters22881
Distinct characters848
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

Unique3285 ?
Unique (%)98.0%

Sample

1st row유가호
2nd row본래순대 원주무실점
3rd row치킨의민족 원주점
4th row원주칼국수
5th row상훈 보쌈족발
ValueCountFrequency (%)
원주점 68
 
1.5%
원주무실점 49
 
1.1%
원주단계점 49
 
1.1%
원주기업도시점 44
 
1.0%
단계점 43
 
1.0%
원주단구점 37
 
0.8%
무실점 28
 
0.6%
기업도시점 23
 
0.5%
단구점 22
 
0.5%
페리카나 21
 
0.5%
Other values (3364) 4091
91.4%
2023-12-12T10:44:11.447234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1124
 
4.9%
점 1026
 
4.5%
원 710
 
3.1%
주 667
 
2.9%
이 455
 
2.0%
리 303
 
1.3%
스 267
 
1.2%
국 248
 
1.1%
치 244
 
1.1%
구 240
 
1.0%
Other values (838) 17597
76.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20996
91.8%
Space Separator 1124
 
4.9%
Decimal Number 280
 
1.2%
Uppercase Letter 242
 
1.1%
Lowercase Letter 159
 
0.7%
Other Punctuation 49
 
0.2%
Close Punctuation 16
 
0.1%
Open Punctuation 15
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1026
 
4.9%
원 710
 
3.4%
주 667
 
3.2%
이 455
 
2.2%
리 303
 
1.4%
스 267
 
1.3%
국 248
 
1.2%
치 244
 
1.2%
구 240
 
1.1%
장 228
 
1.1%
Other values (771) 16608
79.1%
Uppercase Letter
ValueCountFrequency (%)
B 45
18.6%
C 28
11.6%
O 21
 
8.7%
E 19
 
7.9%
A 16
 
6.6%
F 14
 
5.8%
Q 13
 
5.4%
T 12
 
5.0%
H 12
 
5.0%
M 8
 
3.3%
Other values (15) 54
22.3%
Lowercase Letter
ValueCountFrequency (%)
e 26
16.4%
o 19
11.9%
f 17
10.7%
a 16
10.1%
u 9
 
5.7%
i 9
 
5.7%
s 9
 
5.7%
n 8
 
5.0%
c 8
 
5.0%
r 7
 
4.4%
Other values (11) 31
19.5%
Decimal Number
ValueCountFrequency (%)
1 56
20.0%
2 40
14.3%
3 31
11.1%
9 29
10.4%
0 29
10.4%
5 23
8.2%
4 22
 
7.9%
6 20
 
7.1%
7 20
 
7.1%
8 10
 
3.6%
Other Punctuation
ValueCountFrequency (%)
& 34
69.4%
. 6
 
12.2%
? 3
 
6.1%
, 2
 
4.1%
: 1
 
2.0%
; 1
 
2.0%
# 1
 
2.0%
! 1
 
2.0%
Space Separator
ValueCountFrequency (%)
1124
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20988
91.7%
Common 1484
 
6.5%
Latin 401
 
1.8%
Han 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1026
 
4.9%
원 710
 
3.4%
주 667
 
3.2%
이 455
 
2.2%
리 303
 
1.4%
스 267
 
1.3%
국 248
 
1.2%
치 244
 
1.2%
구 240
 
1.1%
장 228
 
1.1%
Other values (764) 16600
79.1%
Latin
ValueCountFrequency (%)
B 45
 
11.2%
C 28
 
7.0%
e 26
 
6.5%
O 21
 
5.2%
E 19
 
4.7%
o 19
 
4.7%
f 17
 
4.2%
A 16
 
4.0%
a 16
 
4.0%
F 14
 
3.5%
Other values (36) 180
44.9%
Common
ValueCountFrequency (%)
1124
75.7%
1 56
 
3.8%
2 40
 
2.7%
& 34
 
2.3%
3 31
 
2.1%
9 29
 
2.0%
0 29
 
2.0%
5 23
 
1.5%
4 22
 
1.5%
6 20
 
1.3%
Other values (11) 76
 
5.1%
Han
ValueCountFrequency (%)
味 2
25.0%
美 1
12.5%
米 1
12.5%
一 1
12.5%
串 1
12.5%
大 1
12.5%
福 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20988
91.7%
ASCII 1885
 
8.2%
CJK 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1124
59.6%
1 56
 
3.0%
B 45
 
2.4%
2 40
 
2.1%
& 34
 
1.8%
3 31
 
1.6%
9 29
 
1.5%
0 29
 
1.5%
C 28
 
1.5%
e 26
 
1.4%
Other values (57) 443
 
23.5%
Hangul
ValueCountFrequency (%)
점 1026
 
4.9%
원 710
 
3.4%
주 667
 
3.2%
이 455
 
2.2%
리 303
 
1.4%
스 267
 
1.3%
국 248
 
1.2%
치 244
 
1.2%
구 240
 
1.1%
장 228
 
1.1%
Other values (764) 16600
79.1%
CJK
ValueCountFrequency (%)
味 2
25.0%
美 1
12.5%
米 1
12.5%
一 1
12.5%
串 1
12.5%
大 1
12.5%
福 1
12.5%

지역명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.3 KiB
강원도 원주시
3346 
<NA>
 
4
강원도 횡성군
 
1

Length

Max length7
Median length7
Mean length6.996419
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row강원도 원주시
2nd row강원도 원주시
3rd row강원도 원주시
4th row강원도 원주시
5th row강원도 원주시

Common Values

ValueCountFrequency (%)
강원도 원주시 3346
99.9%
<NA> 4
 
0.1%
강원도 횡성군 1
 
< 0.1%

Length

2023-12-12T10:44:11.628299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:44:11.766387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원도 3347
50.0%
원주시 3346
50.0%
na 4
 
0.1%
횡성군 1
 
< 0.1%

입식좌석수
Real number (ℝ)

ZEROS 

Distinct87
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8272158
Minimum0
Maximum300
Zeros2486
Zeros (%)74.2%
Negative0
Negative (%)0.0%
Memory size29.6 KiB
2023-12-12T10:44:11.921999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile56
Maximum300
Range300
Interquartile range (IQR)5

Descriptive statistics

Standard deviation22.738152
Coefficient of variation (CV)2.3137939
Kurtosis31.177486
Mean9.8272158
Median Absolute Deviation (MAD)0
Skewness4.2232681
Sum32931
Variance517.02357
MonotonicityNot monotonic
2023-12-12T10:44:12.113093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2486
74.2%
24 66
 
2.0%
20 62
 
1.9%
40 60
 
1.8%
28 43
 
1.3%
32 43
 
1.3%
16 39
 
1.2%
12 32
 
1.0%
48 30
 
0.9%
60 27
 
0.8%
Other values (77) 463
 
13.8%
ValueCountFrequency (%)
0 2486
74.2%
2 5
 
0.1%
3 4
 
0.1%
4 17
 
0.5%
5 4
 
0.1%
6 10
 
0.3%
7 4
 
0.1%
8 26
 
0.8%
9 5
 
0.1%
10 7
 
0.2%
ValueCountFrequency (%)
300 2
0.1%
270 1
 
< 0.1%
200 4
0.1%
180 1
 
< 0.1%
160 1
 
< 0.1%
150 1
 
< 0.1%
140 4
0.1%
124 1
 
< 0.1%
122 1
 
< 0.1%
120 1
 
< 0.1%

좌식좌석수
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6272754
Minimum0
Maximum216
Zeros2996
Zeros (%)89.4%
Negative0
Negative (%)0.0%
Memory size29.6 KiB
2023-12-12T10:44:12.296686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile32
Maximum216
Range216
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.232293
Coefficient of variation (CV)3.6479978
Kurtosis39.429653
Mean3.6272754
Median Absolute Deviation (MAD)0
Skewness5.2102098
Sum12155
Variance175.09357
MonotonicityNot monotonic
2023-12-12T10:44:12.488681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2996
89.4%
24 39
 
1.2%
16 28
 
0.8%
20 27
 
0.8%
32 27
 
0.8%
48 24
 
0.7%
8 21
 
0.6%
40 20
 
0.6%
36 16
 
0.5%
12 13
 
0.4%
Other values (44) 140
 
4.2%
ValueCountFrequency (%)
0 2996
89.4%
2 3
 
0.1%
3 1
 
< 0.1%
4 7
 
0.2%
5 1
 
< 0.1%
6 6
 
0.2%
7 2
 
0.1%
8 21
 
0.6%
9 4
 
0.1%
10 3
 
0.1%
ValueCountFrequency (%)
216 1
 
< 0.1%
127 1
 
< 0.1%
120 2
 
0.1%
112 1
 
< 0.1%
108 1
 
< 0.1%
100 1
 
< 0.1%
96 3
0.1%
84 2
 
0.1%
80 5
0.1%
76 4
0.1%

주차가능여부
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
False
2447 
True
904 
ValueCountFrequency (%)
False 2447
73.0%
True 904
 
27.0%
2023-12-12T10:44:12.631024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

와이파이제공여부
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
False
2384 
True
967 
ValueCountFrequency (%)
False 2384
71.1%
True 967
28.9%
2023-12-12T10:44:12.733590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

놀이방유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
False
3322 
True
 
29
ValueCountFrequency (%)
False 3322
99.1%
True 29
 
0.9%
2023-12-12T10:44:12.837929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

반려동물입장가능여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
False
3351 
ValueCountFrequency (%)
False 3351
100.0%
2023-12-12T10:44:12.931407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

다국어메뉴판제공여부
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
True
2314 
False
1037 
ValueCountFrequency (%)
True 2314
69.1%
False 1037
30.9%
2023-12-12T10:44:13.048185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

화장실정보내용
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
False
2823 
True
528 
ValueCountFrequency (%)
False 2823
84.2%
True 528
 
15.8%
2023-12-12T10:44:13.169492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

휴무일정보내용
Categorical

IMBALANCE 

Distinct42
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size26.3 KiB
<NA>
2571 
일요일
300 
월요일
 
164
연중무휴
 
135
화요일
 
50
Other values (37)
 
131

Length

Max length21
Median length4
Mean length3.8749627
Min length2

Unique

Unique25 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2571
76.7%
일요일 300
 
9.0%
월요일 164
 
4.9%
연중무휴 135
 
4.0%
화요일 50
 
1.5%
토요일 34
 
1.0%
수요일 21
 
0.6%
공휴일 10
 
0.3%
목요일 8
 
0.2%
없음. 6
 
0.2%
Other values (32) 52
 
1.6%

Length

2023-12-12T10:44:13.313239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2571
75.5%
일요일 317
 
9.3%
월요일 169
 
5.0%
연중무휴 135
 
4.0%
화요일 50
 
1.5%
토요일 34
 
1.0%
수요일 22
 
0.6%
공휴일 16
 
0.5%
2 10
 
0.3%
목요일 10
 
0.3%
Other values (33) 73
 
2.1%

영업시간내용
Text

MISSING 

Distinct556
Distinct (%)36.2%
Missing1813
Missing (%)54.1%
Memory size26.3 KiB
2023-12-12T10:44:13.601509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length14
Mean length17.085826
Min length14

Characters and Unicode

Total characters26278
Distinct characters55
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique393 ?
Unique (%)25.6%

Sample

1st row매일 09:00~21:00
2nd row매일 11:00~20:00
3rd row매일 00:00~21:00
4th row매일 11:40~14:00, 매일 14:00~17:00
5th row매일 10:00~22:00
ValueCountFrequency (%)
매일 1356
37.2%
평일 230
 
6.3%
11:00~22:00 105
 
2.9%
주말 93
 
2.5%
10:00~22:00 91
 
2.5%
11:00~21:00 74
 
2.0%
11:00~23:00 66
 
1.8%
토요일 60
 
1.6%
09:00~21:00 47
 
1.3%
10:00~21:00 43
 
1.2%
Other values (333) 1485
40.7%
2023-12-12T10:44:14.123055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7891
30.0%
: 3654
13.9%
1 2729
 
10.4%
2112
 
8.0%
2 1960
 
7.5%
~ 1826
 
6.9%
일 1748
 
6.7%
매 1356
 
5.2%
3 893
 
3.4%
, 287
 
1.1%
Other values (45) 1822
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14600
55.6%
Other Punctuation 3942
 
15.0%
Other Letter 3768
 
14.3%
Space Separator 2112
 
8.0%
Math Symbol 1826
 
6.9%
Lowercase Letter 17
 
0.1%
Uppercase Letter 9
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 1748
46.4%
매 1356
36.0%
평 231
 
6.1%
요 106
 
2.8%
주 93
 
2.5%
말 93
 
2.5%
토 62
 
1.6%
휴 23
 
0.6%
공 22
 
0.6%
월 10
 
0.3%
Other values (18) 24
 
0.6%
Decimal Number
ValueCountFrequency (%)
0 7891
54.0%
1 2729
 
18.7%
2 1960
 
13.4%
3 893
 
6.1%
7 252
 
1.7%
9 232
 
1.6%
4 230
 
1.6%
5 152
 
1.0%
6 132
 
0.9%
8 129
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
T 5
55.6%
B 1
 
11.1%
E 1
 
11.1%
M 1
 
11.1%
I 1
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
e 5
29.4%
m 5
29.4%
i 5
29.4%
t 2
 
11.8%
Other Punctuation
ValueCountFrequency (%)
: 3654
92.7%
, 287
 
7.3%
. 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
2112
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1826
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22484
85.6%
Hangul 3768
 
14.3%
Latin 26
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 1748
46.4%
매 1356
36.0%
평 231
 
6.1%
요 106
 
2.8%
주 93
 
2.5%
말 93
 
2.5%
토 62
 
1.6%
휴 23
 
0.6%
공 22
 
0.6%
월 10
 
0.3%
Other values (18) 24
 
0.6%
Common
ValueCountFrequency (%)
0 7891
35.1%
: 3654
16.3%
1 2729
 
12.1%
2112
 
9.4%
2 1960
 
8.7%
~ 1826
 
8.1%
3 893
 
4.0%
, 287
 
1.3%
7 252
 
1.1%
9 232
 
1.0%
Other values (8) 648
 
2.9%
Latin
ValueCountFrequency (%)
e 5
19.2%
m 5
19.2%
i 5
19.2%
T 5
19.2%
t 2
 
7.7%
B 1
 
3.8%
E 1
 
3.8%
M 1
 
3.8%
I 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22510
85.7%
Hangul 3768
 
14.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7891
35.1%
: 3654
16.2%
1 2729
 
12.1%
2112
 
9.4%
2 1960
 
8.7%
~ 1826
 
8.1%
3 893
 
4.0%
, 287
 
1.3%
7 252
 
1.1%
9 232
 
1.0%
Other values (17) 674
 
3.0%
Hangul
ValueCountFrequency (%)
일 1748
46.4%
매 1356
36.0%
평 231
 
6.1%
요 106
 
2.8%
주 93
 
2.5%
말 93
 
2.5%
토 62
 
1.6%
휴 23
 
0.6%
공 22
 
0.6%
월 10
 
0.3%
Other values (18) 24
 
0.6%

택배판매유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
False
3350 
True
 
1
ValueCountFrequency (%)
False 3350
> 99.9%
True 1
 
< 0.1%
2023-12-12T10:44:14.281749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

배리어프리유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
False
3322 
True
 
29
ValueCountFrequency (%)
False 3322
99.1%
True 29
 
0.9%
2023-12-12T10:44:14.384459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

배달서비스유무
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
False
2609 
True
742 
ValueCountFrequency (%)
False 2609
77.9%
True 742
 
22.1%
2023-12-12T10:44:14.504736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

예약방식명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.3 KiB
N
2574 
전화예약
703 
전화예약,온라인예약
 
52
온라인예약
 
22

Length

Max length10
Median length1
Mean length1.795285
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
N 2574
76.8%
전화예약 703
 
21.0%
전화예약,온라인예약 52
 
1.6%
온라인예약 22
 
0.7%

Length

2023-12-12T10:44:14.641593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:44:14.774903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 2574
76.8%
전화예약 703
 
21.0%
전화예약,온라인예약 52
 
1.6%
온라인예약 22
 
0.7%

온라인예약정보내용
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.3 KiB
<NA>
2479 
레드테이블
798 
네이버
 
47
네이버 , 레드테이블
 
27

Length

Max length11
Median length4
Mean length4.2805133
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2479
74.0%
레드테이블 798
 
23.8%
네이버 47
 
1.4%
네이버 , 레드테이블 27
 
0.8%

Length

2023-12-12T10:44:14.950205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:44:15.103594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2479
72.8%
레드테이블 825
 
24.2%
네이버 74
 
2.2%
27
 
0.8%

홈페이지(URL)
Text

MISSING 

Distinct616
Distinct (%)86.2%
Missing2636
Missing (%)78.7%
Memory size26.3 KiB
2023-12-12T10:44:15.420752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length163
Median length142
Mean length48.818182
Min length13

Characters and Unicode

Total characters34905
Distinct characters163
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique576 ?
Unique (%)80.6%

Sample

1st rowhttp://maleegogi.modoo.at/
2nd rowhttp://instagram.com/ilhozip_official
3rd rowhttps://ganhyunjjajangsg.modoo.at/
4th rowhttp://www.instagram.com/san.mte
5th rowhttp://bigbearzip.itrocks.kr/
ValueCountFrequency (%)
https://www.pelicana.co.kr,http://www.instagram.com/pelicana1982/,http://www.pelicana.net/,http://www.facebook.com/pelicana1982 17
 
2.4%
http://www.paris.co.kr 10
 
1.4%
http://www.gamachi.co.kr 9
 
1.3%
http://www.toreore.com,http://www.instagram.com/toreore_official,http://www.facebook.com/toreore9292 6
 
0.8%
http://www.tlj.co.kr 5
 
0.7%
http://www.tudari.co.kr 5
 
0.7%
http://hosigi9922.com,http://blog.naver.com/hosigi1999,http://www.facebook.com/hosigi1999,http://www.instagram.com/hosigi1999 5
 
0.7%
http://www.baskinrobbins.co.kr,http://blog.naver.com/brgirl31/,https://www.facebook.com/baskinrobbinskr/,https://www.instagram.com/baskinrobbinskorea 5
 
0.7%
http://www.bbq.co.kr 4
 
0.6%
http://kyochon.com 4
 
0.6%
Other values (605) 645
90.2%
2023-12-12T10:44:16.012947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 3233
 
9.3%
t 3003
 
8.6%
o 2666
 
7.6%
. 2258
 
6.5%
a 2033
 
5.8%
w 1831
 
5.2%
c 1469
 
4.2%
h 1446
 
4.1%
m 1434
 
4.1%
p 1398
 
4.0%
Other values (153) 14134
40.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 25504
73.1%
Other Punctuation 7007
 
20.1%
Decimal Number 1803
 
5.2%
Connector Punctuation 224
 
0.6%
Uppercase Letter 183
 
0.5%
Other Letter 113
 
0.3%
Math Symbol 39
 
0.1%
Dash Punctuation 31
 
0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 3
 
2.7%
국 3
 
2.7%
스 3
 
2.7%
소 2
 
1.8%
구 2
 
1.8%
대 2
 
1.8%
풍 2
 
1.8%
라 2
 
1.8%
네 2
 
1.8%
삼 2
 
1.8%
Other values (79) 90
79.6%
Lowercase Letter
ValueCountFrequency (%)
t 3003
 
11.8%
o 2666
 
10.5%
a 2033
 
8.0%
w 1831
 
7.2%
c 1469
 
5.8%
h 1446
 
5.7%
m 1434
 
5.6%
p 1398
 
5.5%
n 1176
 
4.6%
r 1135
 
4.5%
Other values (16) 7913
31.0%
Uppercase Letter
ValueCountFrequency (%)
M 19
 
10.4%
F 13
 
7.1%
B 13
 
7.1%
E 12
 
6.6%
C 12
 
6.6%
A 11
 
6.0%
L 10
 
5.5%
T 9
 
4.9%
P 7
 
3.8%
W 7
 
3.8%
Other values (16) 70
38.3%
Decimal Number
ValueCountFrequency (%)
1 266
14.8%
0 230
12.8%
9 214
11.9%
2 198
11.0%
3 196
10.9%
7 169
9.4%
8 139
7.7%
5 137
7.6%
4 134
7.4%
6 120
6.7%
Other Punctuation
ValueCountFrequency (%)
/ 3233
46.1%
. 2258
32.2%
: 1087
 
15.5%
, 372
 
5.3%
? 34
 
0.5%
% 17
 
0.2%
& 5
 
0.1%
@ 1
 
< 0.1%
Connector Punctuation
ValueCountFrequency (%)
_ 224
100.0%
Math Symbol
ValueCountFrequency (%)
= 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 25687
73.6%
Common 9105
 
26.1%
Hangul 113
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 3
 
2.7%
국 3
 
2.7%
스 3
 
2.7%
소 2
 
1.8%
구 2
 
1.8%
대 2
 
1.8%
풍 2
 
1.8%
라 2
 
1.8%
네 2
 
1.8%
삼 2
 
1.8%
Other values (79) 90
79.6%
Latin
ValueCountFrequency (%)
t 3003
 
11.7%
o 2666
 
10.4%
a 2033
 
7.9%
w 1831
 
7.1%
c 1469
 
5.7%
h 1446
 
5.6%
m 1434
 
5.6%
p 1398
 
5.4%
n 1176
 
4.6%
r 1135
 
4.4%
Other values (42) 8096
31.5%
Common
ValueCountFrequency (%)
/ 3233
35.5%
. 2258
24.8%
: 1087
 
11.9%
, 372
 
4.1%
1 266
 
2.9%
0 230
 
2.5%
_ 224
 
2.5%
9 214
 
2.4%
2 198
 
2.2%
3 196
 
2.2%
Other values (12) 827
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34792
99.7%
Hangul 113
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 3233
 
9.3%
t 3003
 
8.6%
o 2666
 
7.7%
. 2258
 
6.5%
a 2033
 
5.8%
w 1831
 
5.3%
c 1469
 
4.2%
h 1446
 
4.2%
m 1434
 
4.1%
p 1398
 
4.0%
Other values (64) 14021
40.3%
Hangul
ValueCountFrequency (%)
리 3
 
2.7%
국 3
 
2.7%
스 3
 
2.7%
소 2
 
1.8%
구 2
 
1.8%
대 2
 
1.8%
풍 2
 
1.8%
라 2
 
1.8%
네 2
 
1.8%
삼 2
 
1.8%
Other values (79) 90
79.6%

인근랜드마크명
Text

MISSING 

Distinct58
Distinct (%)2.9%
Missing1346
Missing (%)40.2%
Memory size26.3 KiB
2023-12-12T10:44:16.355850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length8.1436409
Min length3

Characters and Unicode

Total characters16328
Distinct characters176
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)0.7%

Sample

1st row구 조선식산은행 원주지점
2nd row구 조선식산은행 원주지점
3rd row구 조선식산은행 원주지점
4th row구 조선식산은행 원주지점
5th row구 조선식산은행 원주지점
ValueCountFrequency (%)
장미공원 308
 
8.7%
원주한지테마파크 286
 
8.1%
구 276
 
7.8%
조선식산은행 276
 
7.8%
원주지점 276
 
7.8%
단관공원 203
 
5.8%
근덕교가시장 146
 
4.1%
6일 146
 
4.1%
1 146
 
4.1%
146
 
4.1%
Other values (68) 1313
37.3%
2023-12-12T10:44:16.801496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1517
 
9.3%
원 1391
 
8.5%
주 897
 
5.5%
지 637
 
3.9%
장 604
 
3.7%
공 560
 
3.4%
산 528
 
3.2%
미 313
 
1.9%
마 302
 
1.8%
행 292
 
1.8%
Other values (166) 9287
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13873
85.0%
Space Separator 1517
 
9.3%
Other Punctuation 322
 
2.0%
Decimal Number 292
 
1.8%
Open Punctuation 162
 
1.0%
Close Punctuation 162
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 1391
 
10.0%
주 897
 
6.5%
지 637
 
4.6%
장 604
 
4.4%
공 560
 
4.0%
산 528
 
3.8%
미 313
 
2.3%
마 302
 
2.2%
행 292
 
2.1%
근 292
 
2.1%
Other values (156) 8057
58.1%
Other Punctuation
ValueCountFrequency (%)
/ 146
45.3%
, 146
45.3%
· 30
 
9.3%
Open Punctuation
ValueCountFrequency (%)
( 161
99.4%
[ 1
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 161
99.4%
] 1
 
0.6%
Decimal Number
ValueCountFrequency (%)
1 146
50.0%
6 146
50.0%
Space Separator
ValueCountFrequency (%)
1517
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13873
85.0%
Common 2455
 
15.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 1391
 
10.0%
주 897
 
6.5%
지 637
 
4.6%
장 604
 
4.4%
공 560
 
4.0%
산 528
 
3.8%
미 313
 
2.3%
마 302
 
2.2%
행 292
 
2.1%
근 292
 
2.1%
Other values (156) 8057
58.1%
Common
ValueCountFrequency (%)
1517
61.8%
( 161
 
6.6%
) 161
 
6.6%
/ 146
 
5.9%
1 146
 
5.9%
, 146
 
5.9%
6 146
 
5.9%
· 30
 
1.2%
] 1
 
< 0.1%
[ 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13873
85.0%
ASCII 2425
 
14.9%
None 30
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1517
62.6%
( 161
 
6.6%
) 161
 
6.6%
/ 146
 
6.0%
1 146
 
6.0%
, 146
 
6.0%
6 146
 
6.0%
] 1
 
< 0.1%
[ 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
원 1391
 
10.0%
주 897
 
6.5%
지 637
 
4.6%
장 604
 
4.4%
공 560
 
4.0%
산 528
 
3.8%
미 313
 
2.3%
마 302
 
2.2%
행 292
 
2.1%
근 292
 
2.1%
Other values (156) 8057
58.1%
None
ValueCountFrequency (%)
· 30
100.0%

인근랜드마크위도
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)2.9%
Missing1346
Missing (%)40.2%
Infinite0
Infinite (%)0.0%
Mean37.3404
Minimum36.34782
Maximum37.48661
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.6 KiB
2023-12-12T10:44:16.985017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.34782
5-th percentile37.30801
Q137.32445
median37.34286
Q337.34897
95-th percentile37.380395
Maximum37.48661
Range1.13879
Interquartile range (IQR)0.02452

Descriptive statistics

Standard deviation0.033503874
Coefficient of variation (CV)0.00089725535
Kurtosis385.23332
Mean37.3404
Median Absolute Deviation (MAD)0.00849
Skewness-13.216563
Sum74867.503
Variance0.0011225096
MonotonicityNot monotonic
2023-12-12T10:44:17.191805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.34697 308
 
9.2%
37.33437 286
 
8.5%
37.34897 276
 
8.2%
37.31814 203
 
6.1%
37.3803948 146
 
4.4%
37.34286 108
 
3.2%
37.37198 104
 
3.1%
37.32445 75
 
2.2%
37.320526 57
 
1.7%
37.32271 54
 
1.6%
Other values (48) 388
 
11.6%
(Missing) 1346
40.2%
ValueCountFrequency (%)
36.34782 1
 
< 0.1%
37.20067 1
 
< 0.1%
37.20766 9
0.3%
37.20925 1
 
< 0.1%
37.25744 3
 
0.1%
37.25745 5
0.1%
37.26337 4
0.1%
37.26793 1
 
< 0.1%
37.27715 2
 
0.1%
37.27844 1
 
< 0.1%
ValueCountFrequency (%)
37.48661 1
 
< 0.1%
37.43704 6
0.2%
37.4316 1
 
< 0.1%
37.42658 1
 
< 0.1%
37.41796 1
 
< 0.1%
37.41669 2
 
0.1%
37.4156 1
 
< 0.1%
37.41533 2
 
0.1%
37.41405 3
0.1%
37.41101 1
 
< 0.1%

인근랜드마크경도
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)2.8%
Missing1346
Missing (%)40.2%
Infinite0
Infinite (%)0.0%
Mean128.03997
Minimum127.4527
Maximum129.22705
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.6 KiB
2023-12-12T10:44:17.380567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.4527
5-th percentile127.925
Q1127.9307
median127.9514
Q3127.9597
95-th percentile129.22705
Maximum129.22705
Range1.774351
Interquartile range (IQR)0.029

Descriptive statistics

Standard deviation0.33434845
Coefficient of variation (CV)0.0026112818
Kurtosis8.622555
Mean128.03997
Median Absolute Deviation (MAD)0.016
Skewness3.2340709
Sum256720.14
Variance0.11178889
MonotonicityNot monotonic
2023-12-12T10:44:17.557113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.9307 308
 
9.2%
127.9354 286
 
8.5%
127.9514 276
 
8.2%
127.9592 203
 
6.1%
129.227051 146
 
4.4%
127.9672 108
 
3.2%
127.9298 104
 
3.1%
127.981 75
 
2.2%
127.945453 57
 
1.7%
127.9943 54
 
1.6%
Other values (47) 388
 
11.6%
(Missing) 1346
40.2%
ValueCountFrequency (%)
127.4527 1
 
< 0.1%
127.7505 9
0.3%
127.8235 2
 
0.1%
127.8325 22
0.7%
127.8518 2
 
0.1%
127.8687 5
 
0.1%
127.8721 1
 
< 0.1%
127.8829 1
 
< 0.1%
127.8866 3
 
0.1%
127.8907 1
 
< 0.1%
ValueCountFrequency (%)
129.227051 146
4.4%
128.1926 4
 
0.1%
128.128 3
 
0.1%
128.0574 6
 
0.2%
128.0562 1
 
< 0.1%
128.0504 3
 
0.1%
128.0155 3
 
0.1%
128.0132 5
 
0.1%
128.0101 1
 
< 0.1%
128.006 9
 
0.3%

인근랜드마크와거리
Real number (ℝ)

MISSING 

Distinct1694
Distinct (%)84.5%
Missing1346
Missing (%)40.2%
Infinite0
Infinite (%)0.0%
Mean426.93658
Minimum0.097461
Maximum999.69353
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.6 KiB
2023-12-12T10:44:18.048090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.097461
5-th percentile112.83829
Q1219.15567
median378.45166
Q3609.67433
95-th percentile901.78949
Maximum999.69353
Range999.59607
Interquartile range (IQR)390.51866

Descriptive statistics

Standard deviation246.69772
Coefficient of variation (CV)0.57783225
Kurtosis-0.71752092
Mean426.93658
Median Absolute Deviation (MAD)182.93527
Skewness0.5303334
Sum856007.83
Variance60859.765
MonotonicityNot monotonic
2023-12-12T10:44:18.228865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
135.546641 18
 
0.5%
182.652213 16
 
0.5%
195.516392 12
 
0.4%
503.955117 7
 
0.2%
483.07023 7
 
0.2%
335.316579 7
 
0.2%
116.963711 6
 
0.2%
672.668639 6
 
0.2%
468.000058 6
 
0.2%
305.204558 5
 
0.1%
Other values (1684) 1915
57.1%
(Missing) 1346
40.2%
ValueCountFrequency (%)
0.097461 1
 
< 0.1%
0.50913 1
 
< 0.1%
0.798113 1
 
< 0.1%
1.728626 1
 
< 0.1%
1.935675 5
0.1%
13.892161 1
 
< 0.1%
32.456145 1
 
< 0.1%
32.641442 1
 
< 0.1%
35.249903 1
 
< 0.1%
39.521228 1
 
< 0.1%
ValueCountFrequency (%)
999.693528 1
 
< 0.1%
999.107814 1
 
< 0.1%
998.891991 1
 
< 0.1%
997.320261 1
 
< 0.1%
996.885367 1
 
< 0.1%
994.906157 4
0.1%
994.58825 1
 
< 0.1%
993.461587 1
 
< 0.1%
992.054182 1
 
< 0.1%
990.83746 1
 
< 0.1%

키오스크유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
False
3336 
True
 
15
ValueCountFrequency (%)
False 3336
99.6%
True 15
 
0.4%
2023-12-12T10:44:18.374726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

모바일페이먼트유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
False
3264 
True
 
87
ValueCountFrequency (%)
False 3264
97.4%
True 87
 
2.6%
2023-12-12T10:44:18.490754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

스마트오더유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
False
3264 
True
 
87
ValueCountFrequency (%)
False 3264
97.4%
True 87
 
2.6%
2023-12-12T10:44:18.621662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

대표메뉴명
Text

MISSING 

Distinct205
Distinct (%)97.2%
Missing3140
Missing (%)93.7%
Memory size26.3 KiB
2023-12-12T10:44:18.838316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length31
Mean length16.113744
Min length2

Characters and Unicode

Total characters3400
Distinct characters379
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique201 ?
Unique (%)95.3%

Sample

1st row오리지널 흑당 버블밀크티
2nd row아메리카노, 퐁크러쉬, 쿠키프라페, 큐브라떼
3rd row초밥,돈가스
4th row사천탕수육, 쟁반짜장, 제육덮밥, 양장피.
5th row냉면, 비빔냉면, 간장불고기, 고추장불고기
ValueCountFrequency (%)
아메리카노 11
 
2.5%
부대찌개 5
 
1.2%
커피 4
 
0.9%
삼겹살 4
 
0.9%
치킨 3
 
0.7%
숙성 3
 
0.7%
오리지널 3
 
0.7%
투뿔 3
 
0.7%
선지해장국 3
 
0.7%
코다리찜 3
 
0.7%
Other values (364) 391
90.3%
2023-12-12T10:44:19.296824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 420
 
12.4%
224
 
6.6%
이 87
 
2.6%
치 75
 
2.2%
스 53
 
1.6%
장 48
 
1.4%
리 47
 
1.4%
국 43
 
1.3%
수 42
 
1.2%
기 38
 
1.1%
Other values (369) 2323
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2689
79.1%
Other Punctuation 430
 
12.6%
Space Separator 224
 
6.6%
Decimal Number 50
 
1.5%
Math Symbol 5
 
0.1%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 87
 
3.2%
치 75
 
2.8%
스 53
 
2.0%
장 48
 
1.8%
리 47
 
1.7%
국 43
 
1.6%
수 42
 
1.6%
기 38
 
1.4%
카 37
 
1.4%
밥 34
 
1.3%
Other values (355) 2185
81.3%
Decimal Number
ValueCountFrequency (%)
0 26
52.0%
3 7
 
14.0%
2 6
 
12.0%
5 6
 
12.0%
1 2
 
4.0%
4 2
 
4.0%
8 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 420
97.7%
. 9
 
2.1%
& 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
t 1
50.0%
v 1
50.0%
Space Separator
ValueCountFrequency (%)
224
100.0%
Math Symbol
ValueCountFrequency (%)
+ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2689
79.1%
Common 709
 
20.9%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 87
 
3.2%
치 75
 
2.8%
스 53
 
2.0%
장 48
 
1.8%
리 47
 
1.7%
국 43
 
1.6%
수 42
 
1.6%
기 38
 
1.4%
카 37
 
1.4%
밥 34
 
1.3%
Other values (355) 2185
81.3%
Common
ValueCountFrequency (%)
, 420
59.2%
224
31.6%
0 26
 
3.7%
. 9
 
1.3%
3 7
 
1.0%
2 6
 
0.8%
5 6
 
0.8%
+ 5
 
0.7%
1 2
 
0.3%
4 2
 
0.3%
Other values (2) 2
 
0.3%
Latin
ValueCountFrequency (%)
t 1
50.0%
v 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2689
79.1%
ASCII 711
 
20.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 420
59.1%
224
31.5%
0 26
 
3.7%
. 9
 
1.3%
3 7
 
1.0%
2 6
 
0.8%
5 6
 
0.8%
+ 5
 
0.7%
1 2
 
0.3%
4 2
 
0.3%
Other values (4) 4
 
0.6%
Hangul
ValueCountFrequency (%)
이 87
 
3.2%
치 75
 
2.8%
스 53
 
2.0%
장 48
 
1.8%
리 47
 
1.7%
국 43
 
1.6%
수 42
 
1.6%
기 38
 
1.4%
카 37
 
1.4%
밥 34
 
1.3%
Other values (355) 2185
81.3%

식당상태
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.3 KiB
운영중
2488 
미확인
341 
신규
336 
폐업
 
186

Length

Max length3
Median length3
Mean length2.8442256
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row운영중
2nd row미확인
3rd row폐업
4th row운영중
5th row운영중

Common Values

ValueCountFrequency (%)
운영중 2488
74.2%
미확인 341
 
10.2%
신규 336
 
10.0%
폐업 186
 
5.6%

Length

2023-12-12T10:44:19.445227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:44:19.564693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 2488
74.2%
미확인 341
 
10.2%
신규 336
 
10.0%
폐업 186
 
5.6%

Sample

식당(ID)식당명지역명입식좌석수좌식좌석수주차가능여부와이파이제공여부놀이방유무반려동물입장가능여부다국어메뉴판제공여부화장실정보내용휴무일정보내용영업시간내용택배판매유무배리어프리유무배달서비스유무예약방식명온라인예약정보내용홈페이지(URL)인근랜드마크명인근랜드마크위도인근랜드마크경도인근랜드마크와거리키오스크유무모바일페이먼트유무스마트오더유무대표메뉴명식당상태
01656유가호강원도 원주시1224NNNNYN<NA>매일 09:00~21:00NNNN레드테이블<NA>구 조선식산은행 원주지점37.34897127.9514187.799493NNN<NA>운영중
12200본래순대 원주무실점강원도 원주시00NNNNNN<NA><NA>NNNN<NA><NA><NA><NA><NA><NA>NNN<NA>미확인
22497치킨의민족 원주점강원도 원주시00NNNNNN<NA><NA>NNNN<NA><NA><NA><NA><NA><NA>NNN<NA>폐업
33057원주칼국수강원도 원주시00NNNNYN<NA>매일 11:00~20:00NNNN<NA><NA>구 조선식산은행 원주지점37.34897127.9514150.868572NNN<NA>운영중
43058상훈 보쌈족발강원도 원주시00NNNNYN<NA><NA>NNYN레드테이블<NA>구 조선식산은행 원주지점37.34897127.9514142.588239NNN<NA>운영중
53178싱싱한녀석들강원도 원주시00NNNNNN<NA><NA>NNNN<NA><NA><NA><NA><NA><NA>NNN<NA>폐업
63427연흥식당강원도 원주시028NNNNYN<NA><NA>NNNN레드테이블<NA>구 조선식산은행 원주지점37.34897127.9514205.754848NNN<NA>운영중
73428민생회관강원도 원주시872NNNNYN<NA><NA>NNNN<NA><NA>구 조선식산은행 원주지점37.34897127.9514195.529748NNN<NA>운영중
83646터치카페 원주단관점강원도 원주시00NYNNNN<NA><NA>NNNN<NA><NA><NA><NA><NA><NA>NNN<NA>운영중
93948명랑막국수강원도 원주시4020YNNNYN<NA>매일 00:00~21:00NNN전화예약레드테이블<NA>구 조선식산은행 원주지점37.34897127.9514333.204859NNN<NA>운영중
식당(ID)식당명지역명입식좌석수좌식좌석수주차가능여부와이파이제공여부놀이방유무반려동물입장가능여부다국어메뉴판제공여부화장실정보내용휴무일정보내용영업시간내용택배판매유무배리어프리유무배달서비스유무예약방식명온라인예약정보내용홈페이지(URL)인근랜드마크명인근랜드마크위도인근랜드마크경도인근랜드마크와거리키오스크유무모바일페이먼트유무스마트오더유무대표메뉴명식당상태
3341970156담꾹 원주기업도시점강원도 원주시00NNNNNN<NA>매일 00:00~24:00NNYN<NA><NA><NA><NA><NA><NA>NNN<NA>신규
3342970166라사천 마라탕 마라샹궈 원주점강원도 원주시00NNNNNN<NA><NA>NNYN<NA><NA><NA><NA><NA><NA>NNN<NA>신규
3343970387요거둥강원도 원주시00YYNNNY<NA>매일 10:00~20:00NNYN<NA><NA>봉산동당간지주37.34553127.9583160.156783NNN<NA>신규
3344970505던킨도너츠 원주태장점강원도 원주시00YNNNNY<NA>매일 08:00~23:00NYYN<NA><NA>영천사(원주)37.35825127.9618579.451433NNN<NA>신규
3345970705하이웨이강원도 원주시00NNNNNN<NA><NA>NNNN<NA><NA><NA><NA><NA><NA>NNN<NA>신규
3346970965또래오래 원주반곡봉산점강원도 원주시00NNNNYN<NA>매일 13:00~00:00NNNN<NA><NA>봉산동 석불좌상37.34286127.9672392.564408NNN<NA>신규
3347971492쉼표보드게임강원도 원주시00NNNNNN<NA><NA>NNNN<NA><NA>원주향교37.33923127.9491643.433823NNN<NA>신규
3348971500이피커피강원도 원주시00NYNNNN화요일<NA>NNNN<NA><NA>단관공원37.31814127.9592188.197199NNN<NA>신규
33494427821만랩커피 원주단계점<NA>00NNNNNN<NA><NA>NNNN<NA><NA><NA><NA><NA><NA>NNN커피,크런키 에끌레어,원형 치즈케이크폐업
33505842391102 by 커피명작<NA>00NNNNNN<NA><NA>NNNN<NA><NA><NA><NA><NA><NA>NNN<NA>미확인