Overview

Dataset statistics

Number of variables28
Number of observations2970
Missing cells11976
Missing cells (%)14.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory667.2 KiB
Average record size in memory230.0 B

Variable types

Numeric6
Text5
Categorical5
Boolean12

Dataset

Description목포시 식당운영정보(식당(ID), 식당명, 지역명, 입식좌석수, 좌식좌석수, 주차가능여부, 와이파이제공여부, 놀이방유무, 반려동물입장가능여부, 다국어메뉴판제공여부, 화장실정보내용, 휴무일정보내용, 영업시간내용, 택배판매유무, 배리어프리유무, 배달서비스유무, 예약방식명, 온라인예약정보내용, 홈페이지(URL), 인근랜드마크명, 인근랜드마크위도, 인근랜드마크경도, 인근랜드마크와거리, 키오스크유무, 모바일페이먼트유무, 스마트오더유무, 대표메뉴명, 식당상태)
Author전라남도 목포시
URLhttps://www.data.go.kr/data/15099335/fileData.do

Alerts

반려동물입장가능여부 has constant value ""Constant
택배판매유무 has constant value ""Constant
지역명 is highly imbalanced (98.4%)Imbalance
놀이방유무 is highly imbalanced (95.4%)Imbalance
화장실정보내용 is highly imbalanced (51.5%)Imbalance
배리어프리유무 is highly imbalanced (93.2%)Imbalance
예약방식명 is highly imbalanced (78.6%)Imbalance
온라인예약정보내용 is highly imbalanced (85.7%)Imbalance
키오스크유무 is highly imbalanced (88.1%)Imbalance
모바일페이먼트유무 is highly imbalanced (87.5%)Imbalance
스마트오더유무 is highly imbalanced (87.5%)Imbalance
식당상태 is highly imbalanced (51.5%)Imbalance
휴무일정보내용 has 2295 (77.3%) missing valuesMissing
영업시간내용 has 1916 (64.5%) missing valuesMissing
홈페이지(URL) has 2531 (85.2%) missing valuesMissing
인근랜드마크위도 has 870 (29.3%) missing valuesMissing
인근랜드마크경도 has 870 (29.3%) missing valuesMissing
인근랜드마크와거리 has 870 (29.3%) missing valuesMissing
대표메뉴명 has 2624 (88.4%) missing valuesMissing
식당(ID) has unique valuesUnique
입식좌석수 has 1521 (51.2%) zerosZeros
좌식좌석수 has 2278 (76.7%) zerosZeros

Reproduction

Analysis started2023-12-12 03:24:57.656078
Analysis finished2023-12-12 03:24:58.940550
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

식당(ID)
Real number (ℝ)

UNIQUE 

Distinct2970
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean465467.92
Minimum1529
Maximum1573731
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.2 KiB
2023-12-12T12:24:59.039787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1529
5-th percentile59068.9
Q1219450.25
median446969.5
Q3709596.75
95-th percentile910853.6
Maximum1573731
Range1572202
Interquartile range (IQR)490146.5

Descriptive statistics

Standard deviation280252.39
Coefficient of variation (CV)0.60208743
Kurtosis-1.1265031
Mean465467.92
Median Absolute Deviation (MAD)247191
Skewness0.17594886
Sum1.3824397 × 109
Variance7.85414 × 1010
MonotonicityStrictly increasing
2023-12-12T12:24:59.227103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1529 1
 
< 0.1%
613539 1
 
< 0.1%
611905 1
 
< 0.1%
611951 1
 
< 0.1%
612500 1
 
< 0.1%
612501 1
 
< 0.1%
612739 1
 
< 0.1%
612913 1
 
< 0.1%
613144 1
 
< 0.1%
613168 1
 
< 0.1%
Other values (2960) 2960
99.7%
ValueCountFrequency (%)
1529 1
< 0.1%
1531 1
< 0.1%
1697 1
< 0.1%
1739 1
< 0.1%
2083 1
< 0.1%
2383 1
< 0.1%
2496 1
< 0.1%
2735 1
< 0.1%
3081 1
< 0.1%
3116 1
< 0.1%
ValueCountFrequency (%)
1573731 1
< 0.1%
970738 1
< 0.1%
970559 1
< 0.1%
970537 1
< 0.1%
970513 1
< 0.1%
970365 1
< 0.1%
970239 1
< 0.1%
970215 1
< 0.1%
969724 1
< 0.1%
969654 1
< 0.1%
Distinct2921
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size23.3 KiB
2023-12-12T12:24:59.572002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length6.3218855
Min length1

Characters and Unicode

Total characters18776
Distinct characters770
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2875 ?
Unique (%)96.8%

Sample

1st row서해 아구찜
2nd row영해복집
3rd row우리수산
4th row주일회포차
5th row가락지죽집
ValueCountFrequency (%)
목포하당점 62
 
1.7%
목포점 58
 
1.6%
목포북항점 37
 
1.0%
하당점 31
 
0.9%
북항점 18
 
0.5%
목포용해점 16
 
0.4%
평화광장점 15
 
0.4%
용해점 15
 
0.4%
목포상동점 14
 
0.4%
연산점 13
 
0.4%
Other values (2906) 3363
92.3%
2023-12-12T12:25:00.068905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
763
 
4.1%
679
 
3.6%
629
 
3.4%
440
 
2.3%
366
 
1.9%
347
 
1.8%
336
 
1.8%
307
 
1.6%
209
 
1.1%
203
 
1.1%
Other values (760) 14497
77.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17432
92.8%
Space Separator 679
 
3.6%
Decimal Number 250
 
1.3%
Uppercase Letter 143
 
0.8%
Lowercase Letter 121
 
0.6%
Open Punctuation 52
 
0.3%
Close Punctuation 52
 
0.3%
Other Punctuation 47
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
763
 
4.4%
629
 
3.6%
440
 
2.5%
366
 
2.1%
347
 
2.0%
336
 
1.9%
307
 
1.8%
209
 
1.2%
203
 
1.2%
203
 
1.2%
Other values (699) 13629
78.2%
Uppercase Letter
ValueCountFrequency (%)
B 22
15.4%
C 21
14.7%
E 12
 
8.4%
O 10
 
7.0%
F 9
 
6.3%
R 8
 
5.6%
T 7
 
4.9%
A 7
 
4.9%
S 7
 
4.9%
M 6
 
4.2%
Other values (11) 34
23.8%
Lowercase Letter
ValueCountFrequency (%)
e 22
18.2%
s 14
11.6%
l 12
9.9%
a 10
8.3%
t 9
7.4%
f 9
7.4%
o 9
7.4%
i 6
 
5.0%
h 6
 
5.0%
w 4
 
3.3%
Other values (10) 20
16.5%
Decimal Number
ValueCountFrequency (%)
1 55
22.0%
0 40
16.0%
9 37
14.8%
2 27
10.8%
5 22
 
8.8%
3 19
 
7.6%
7 17
 
6.8%
4 13
 
5.2%
8 13
 
5.2%
6 7
 
2.8%
Other Punctuation
ValueCountFrequency (%)
& 33
70.2%
. 4
 
8.5%
# 3
 
6.4%
; 2
 
4.3%
· 2
 
4.3%
? 2
 
4.3%
1
 
2.1%
Space Separator
ValueCountFrequency (%)
679
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17432
92.8%
Common 1080
 
5.8%
Latin 264
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
763
 
4.4%
629
 
3.6%
440
 
2.5%
366
 
2.1%
347
 
2.0%
336
 
1.9%
307
 
1.8%
209
 
1.2%
203
 
1.2%
203
 
1.2%
Other values (699) 13629
78.2%
Latin
ValueCountFrequency (%)
B 22
 
8.3%
e 22
 
8.3%
C 21
 
8.0%
s 14
 
5.3%
l 12
 
4.5%
E 12
 
4.5%
O 10
 
3.8%
a 10
 
3.8%
F 9
 
3.4%
t 9
 
3.4%
Other values (31) 123
46.6%
Common
ValueCountFrequency (%)
679
62.9%
1 55
 
5.1%
( 52
 
4.8%
) 52
 
4.8%
0 40
 
3.7%
9 37
 
3.4%
& 33
 
3.1%
2 27
 
2.5%
5 22
 
2.0%
3 19
 
1.8%
Other values (10) 64
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17432
92.8%
ASCII 1341
 
7.1%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
763
 
4.4%
629
 
3.6%
440
 
2.5%
366
 
2.1%
347
 
2.0%
336
 
1.9%
307
 
1.8%
209
 
1.2%
203
 
1.2%
203
 
1.2%
Other values (699) 13629
78.2%
ASCII
ValueCountFrequency (%)
679
50.6%
1 55
 
4.1%
( 52
 
3.9%
) 52
 
3.9%
0 40
 
3.0%
9 37
 
2.8%
& 33
 
2.5%
2 27
 
2.0%
B 22
 
1.6%
5 22
 
1.6%
Other values (49) 322
24.0%
None
ValueCountFrequency (%)
· 2
66.7%
1
33.3%

지역명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.3 KiB
전라남도 목포시
2963 
<NA>
 
6
전라남도 장흥군
 
1

Length

Max length8
Median length8
Mean length7.9919192
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row전라남도 목포시
2nd row전라남도 목포시
3rd row전라남도 목포시
4th row전라남도 목포시
5th row전라남도 목포시

Common Values

ValueCountFrequency (%)
전라남도 목포시 2963
99.8%
<NA> 6
 
0.2%
전라남도 장흥군 1
 
< 0.1%

Length

2023-12-12T12:25:00.273914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:25:00.418129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 2964
49.9%
목포시 2963
49.9%
na 6
 
0.1%
장흥군 1
 
< 0.1%

입식좌석수
Real number (ℝ)

ZEROS 

Distinct102
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.26835
Minimum0
Maximum340
Zeros1521
Zeros (%)51.2%
Negative0
Negative (%)0.0%
Memory size26.2 KiB
2023-12-12T12:25:00.552821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q330
95-th percentile68
Maximum340
Range340
Interquartile range (IQR)30

Descriptive statistics

Standard deviation28.415061
Coefficient of variation (CV)1.5554257
Kurtosis15.698684
Mean18.26835
Median Absolute Deviation (MAD)0
Skewness2.9868948
Sum54257
Variance807.41567
MonotonicityNot monotonic
2023-12-12T12:25:00.721864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1521
51.2%
20 118
 
4.0%
24 113
 
3.8%
32 103
 
3.5%
40 97
 
3.3%
16 96
 
3.2%
28 84
 
2.8%
36 74
 
2.5%
12 65
 
2.2%
8 55
 
1.9%
Other values (92) 644
21.7%
ValueCountFrequency (%)
0 1521
51.2%
2 1
 
< 0.1%
3 2
 
0.1%
4 26
 
0.9%
5 7
 
0.2%
6 7
 
0.2%
7 7
 
0.2%
8 55
 
1.9%
9 9
 
0.3%
10 21
 
0.7%
ValueCountFrequency (%)
340 1
< 0.1%
250 2
0.1%
232 1
< 0.1%
224 1
< 0.1%
208 1
< 0.1%
200 1
< 0.1%
192 1
< 0.1%
184 2
0.1%
180 2
0.1%
177 1
< 0.1%

좌식좌석수
Real number (ℝ)

ZEROS 

Distinct61
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.2505051
Minimum0
Maximum240
Zeros2278
Zeros (%)76.7%
Negative0
Negative (%)0.0%
Memory size26.2 KiB
2023-12-12T12:25:00.882257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile40
Maximum240
Range240
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.884567
Coefficient of variation (CV)2.466665
Kurtosis27.039213
Mean7.2505051
Median Absolute Deviation (MAD)0
Skewness4.1399195
Sum21534
Variance319.85774
MonotonicityNot monotonic
2023-12-12T12:25:01.101857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2278
76.7%
16 88
 
3.0%
24 65
 
2.2%
20 58
 
2.0%
32 55
 
1.9%
8 52
 
1.8%
40 50
 
1.7%
12 49
 
1.6%
36 35
 
1.2%
28 34
 
1.1%
Other values (51) 206
 
6.9%
ValueCountFrequency (%)
0 2278
76.7%
2 1
 
< 0.1%
3 1
 
< 0.1%
4 18
 
0.6%
5 3
 
0.1%
6 4
 
0.1%
7 5
 
0.2%
8 52
 
1.8%
10 3
 
0.1%
12 49
 
1.6%
ValueCountFrequency (%)
240 1
 
< 0.1%
200 1
 
< 0.1%
176 1
 
< 0.1%
150 2
0.1%
132 1
 
< 0.1%
128 1
 
< 0.1%
126 1
 
< 0.1%
124 1
 
< 0.1%
120 3
0.1%
104 1
 
< 0.1%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
False
2559 
True
411 
ValueCountFrequency (%)
False 2559
86.2%
True 411
 
13.8%
2023-12-12T12:25:01.255293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
False
2318 
True
652 
ValueCountFrequency (%)
False 2318
78.0%
True 652
 
22.0%
2023-12-12T12:25:01.358672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

놀이방유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
False
2955 
True
 
15
ValueCountFrequency (%)
False 2955
99.5%
True 15
 
0.5%
2023-12-12T12:25:01.447147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
False
2970 
ValueCountFrequency (%)
False 2970
100.0%
2023-12-12T12:25:01.533035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
True
2169 
False
801 
ValueCountFrequency (%)
True 2169
73.0%
False 801
 
27.0%
2023-12-12T12:25:01.625290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

화장실정보내용
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
False
2658 
True
312 
ValueCountFrequency (%)
False 2658
89.5%
True 312
 
10.5%
2023-12-12T12:25:01.731541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

휴무일정보내용
Text

MISSING 

Distinct64
Distinct (%)9.5%
Missing2295
Missing (%)77.3%
Memory size23.3 KiB
2023-12-12T12:25:01.949353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length3
Mean length4.2325926
Min length2

Characters and Unicode

Total characters2857
Distinct characters82
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)6.1%

Sample

1st row화요일
2nd row연중무휴
3rd row일요일
4th row목요일
5th row일요일
ValueCountFrequency (%)
일요일 273
32.6%
연중무휴 208
24.9%
월요일 92
 
11.0%
화요일 45
 
5.4%
수요일 22
 
2.6%
4주 20
 
2.4%
2 19
 
2.3%
휴무 19
 
2.3%
매주 18
 
2.2%
첫째주 14
 
1.7%
Other values (56) 107
 
12.8%
2023-12-12T12:25:02.386279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
753
26.4%
458
16.0%
236
 
8.3%
232
 
8.1%
209
 
7.3%
208
 
7.3%
162
 
5.7%
95
 
3.3%
92
 
3.2%
46
 
1.6%
Other values (72) 366
12.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2593
90.8%
Space Separator 162
 
5.7%
Decimal Number 51
 
1.8%
Other Punctuation 42
 
1.5%
Open Punctuation 5
 
0.2%
Close Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
753
29.0%
458
17.7%
236
 
9.1%
232
 
8.9%
209
 
8.1%
208
 
8.0%
95
 
3.7%
92
 
3.5%
46
 
1.8%
40
 
1.5%
Other values (61) 224
 
8.6%
Other Punctuation
ValueCountFrequency (%)
, 34
81.0%
. 6
 
14.3%
/ 1
 
2.4%
? 1
 
2.4%
Decimal Number
ValueCountFrequency (%)
2 23
45.1%
4 21
41.2%
3 4
 
7.8%
1 3
 
5.9%
Space Separator
ValueCountFrequency (%)
162
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2593
90.8%
Common 264
 
9.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
753
29.0%
458
17.7%
236
 
9.1%
232
 
8.9%
209
 
8.1%
208
 
8.0%
95
 
3.7%
92
 
3.5%
46
 
1.8%
40
 
1.5%
Other values (61) 224
 
8.6%
Common
ValueCountFrequency (%)
162
61.4%
, 34
 
12.9%
2 23
 
8.7%
4 21
 
8.0%
. 6
 
2.3%
( 5
 
1.9%
) 4
 
1.5%
3 4
 
1.5%
1 3
 
1.1%
/ 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2593
90.8%
ASCII 264
 
9.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
753
29.0%
458
17.7%
236
 
9.1%
232
 
8.9%
209
 
8.1%
208
 
8.0%
95
 
3.7%
92
 
3.5%
46
 
1.8%
40
 
1.5%
Other values (61) 224
 
8.6%
ASCII
ValueCountFrequency (%)
162
61.4%
, 34
 
12.9%
2 23
 
8.7%
4 21
 
8.0%
. 6
 
2.3%
( 5
 
1.9%
) 4
 
1.5%
3 4
 
1.5%
1 3
 
1.1%
/ 1
 
0.4%

영업시간내용
Text

MISSING 

Distinct381
Distinct (%)36.1%
Missing1916
Missing (%)64.5%
Memory size23.3 KiB
2023-12-12T12:25:02.685715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length14
Mean length15.83112
Min length14

Characters and Unicode

Total characters16686
Distinct characters43
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique256 ?
Unique (%)24.3%

Sample

1st row매일 07:00~10:00
2nd row평일 08:00~20:00
3rd row매일 10:00~20:30
4th row매일 17:00~24:00
5th row매일 10:30~21:00
ValueCountFrequency (%)
매일 951
40.6%
평일 122
 
5.2%
10:00~22:00 95
 
4.1%
11:00~22:00 73
 
3.1%
11:00~21:00 39
 
1.7%
11:00~23:00 33
 
1.4%
주말 31
 
1.3%
10:00~21:00 29
 
1.2%
토요일 29
 
1.2%
11:30~22:00 25
 
1.1%
Other values (288) 913
39.0%
2023-12-12T12:25:03.164877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5194
31.1%
: 2343
14.0%
1 1622
 
9.7%
2 1321
 
7.9%
1286
 
7.7%
~ 1171
 
7.0%
1142
 
6.8%
951
 
5.7%
3 518
 
3.1%
4 172
 
1.0%
Other values (33) 966
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9368
56.1%
Other Punctuation 2460
 
14.7%
Other Letter 2395
 
14.4%
Space Separator 1286
 
7.7%
Math Symbol 1171
 
7.0%
Uppercase Letter 3
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1142
47.7%
951
39.7%
122
 
5.1%
48
 
2.0%
31
 
1.3%
31
 
1.3%
29
 
1.2%
10
 
0.4%
9
 
0.4%
3
 
0.1%
Other values (13) 19
 
0.8%
Decimal Number
ValueCountFrequency (%)
0 5194
55.4%
1 1622
 
17.3%
2 1321
 
14.1%
3 518
 
5.5%
4 172
 
1.8%
9 151
 
1.6%
7 139
 
1.5%
8 90
 
1.0%
6 85
 
0.9%
5 76
 
0.8%
Other Punctuation
ValueCountFrequency (%)
: 2343
95.2%
, 116
 
4.7%
. 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
m 1
33.3%
e 1
33.3%
i 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
T 2
66.7%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
1286
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1171
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14285
85.6%
Hangul 2395
 
14.4%
Latin 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1142
47.7%
951
39.7%
122
 
5.1%
48
 
2.0%
31
 
1.3%
31
 
1.3%
29
 
1.2%
10
 
0.4%
9
 
0.4%
3
 
0.1%
Other values (13) 19
 
0.8%
Common
ValueCountFrequency (%)
0 5194
36.4%
: 2343
16.4%
1 1622
 
11.4%
2 1321
 
9.2%
1286
 
9.0%
~ 1171
 
8.2%
3 518
 
3.6%
4 172
 
1.2%
9 151
 
1.1%
7 139
 
1.0%
Other values (5) 368
 
2.6%
Latin
ValueCountFrequency (%)
T 2
33.3%
m 1
16.7%
e 1
16.7%
B 1
16.7%
i 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14291
85.6%
Hangul 2395
 
14.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5194
36.3%
: 2343
16.4%
1 1622
 
11.3%
2 1321
 
9.2%
1286
 
9.0%
~ 1171
 
8.2%
3 518
 
3.6%
4 172
 
1.2%
9 151
 
1.1%
7 139
 
1.0%
Other values (10) 374
 
2.6%
Hangul
ValueCountFrequency (%)
1142
47.7%
951
39.7%
122
 
5.1%
48
 
2.0%
31
 
1.3%
31
 
1.3%
29
 
1.2%
10
 
0.4%
9
 
0.4%
3
 
0.1%
Other values (13) 19
 
0.8%

택배판매유무
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
False
2970 
ValueCountFrequency (%)
False 2970
100.0%
2023-12-12T12:25:03.336356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

배리어프리유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
False
2946 
True
 
24
ValueCountFrequency (%)
False 2946
99.2%
True 24
 
0.8%
2023-12-12T12:25:03.447128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
False
2407 
True
563 
ValueCountFrequency (%)
False 2407
81.0%
True 563
 
19.0%
2023-12-12T12:25:03.541905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

예약방식명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.3 KiB
N
2734 
전화예약
 
224
전화예약,온라인예약
 
7
온라인예약
 
5

Length

Max length10
Median length1
Mean length1.2542088
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
N 2734
92.1%
전화예약 224
 
7.5%
전화예약,온라인예약 7
 
0.2%
온라인예약 5
 
0.2%

Length

2023-12-12T12:25:04.024941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:25:04.198356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 2734
92.1%
전화예약 224
 
7.5%
전화예약,온라인예약 7
 
0.2%
온라인예약 5
 
0.2%

온라인예약정보내용
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.3 KiB
<NA>
2842 
레드테이블
 
110
네이버
 
13
네이버 , 레드테이블
 
5

Length

Max length11
Median length4
Mean length4.0444444
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2842
95.7%
레드테이블 110
 
3.7%
네이버 13
 
0.4%
네이버 , 레드테이블 5
 
0.2%

Length

2023-12-12T12:25:04.451985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:25:04.661640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2842
95.4%
레드테이블 115
 
3.9%
네이버 18
 
0.6%
5
 
0.2%

홈페이지(URL)
Text

MISSING 

Distinct363
Distinct (%)82.7%
Missing2531
Missing (%)85.2%
Memory size23.3 KiB
2023-12-12T12:25:04.960615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length255
Median length125
Mean length47.936219
Min length12

Characters and Unicode

Total characters21044
Distinct characters116
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

Unique323 ?
Unique (%)73.6%

Sample

1st rowhttp://www.mhyudal.com/
2nd rowhttp://ok114.co.kr/0612433647
3rd rowhttp://sukule.co.kr
4th rowhttp://www.hansdeli.com/
5th rowhttp://caligo40.modoo.at/,http://blog.naver.com/caligo40
ValueCountFrequency (%)
http://www.paris.co.kr 7
 
1.6%
http://www.lotteria.com 5
 
1.1%
http://www.mexican.co.kr 5
 
1.1%
http://www.ediya.com/,http://instagram.com/ediya.coffee 5
 
1.1%
http://www.baskinrobbins.co.kr,http://blog.naver.com/brgirl31/,https://www.facebook.com/baskinrobbinskr/,https://www.instagram.com/baskinrobbinskorea 5
 
1.1%
http://www.caffe-pascucci.co.kr 5
 
1.1%
http://www.goobne.co.kr 4
 
0.9%
http://kyochon.com 4
 
0.9%
http://www.jukstory.com,https://m.facebook.com/jukstory1 4
 
0.9%
http://www.cheogajip.co.kr 4
 
0.9%
Other values (352) 391
89.1%
2023-12-12T12:25:05.510779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 1956
 
9.3%
t 1789
 
8.5%
o 1614
 
7.7%
. 1353
 
6.4%
a 1133
 
5.4%
w 1097
 
5.2%
c 949
 
4.5%
m 911
 
4.3%
h 872
 
4.1%
p 829
 
3.9%
Other values (106) 8541
40.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 15433
73.3%
Other Punctuation 4222
 
20.1%
Decimal Number 1038
 
4.9%
Connector Punctuation 149
 
0.7%
Uppercase Letter 89
 
0.4%
Other Letter 55
 
0.3%
Math Symbol 38
 
0.2%
Dash Punctuation 20
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2
 
3.6%
2
 
3.6%
2
 
3.6%
2
 
3.6%
2
 
3.6%
2
 
3.6%
2
 
3.6%
1
 
1.8%
1
 
1.8%
1
 
1.8%
Other values (38) 38
69.1%
Lowercase Letter
ValueCountFrequency (%)
t 1789
 
11.6%
o 1614
 
10.5%
a 1133
 
7.3%
w 1097
 
7.1%
c 949
 
6.1%
m 911
 
5.9%
h 872
 
5.7%
p 829
 
5.4%
r 715
 
4.6%
s 706
 
4.6%
Other values (16) 4818
31.2%
Uppercase Letter
ValueCountFrequency (%)
C 15
16.9%
D 15
16.9%
P 9
10.1%
N 6
 
6.7%
S 5
 
5.6%
I 4
 
4.5%
W 4
 
4.5%
B 4
 
4.5%
A 4
 
4.5%
G 3
 
3.4%
Other values (11) 20
22.5%
Decimal Number
ValueCountFrequency (%)
1 182
17.5%
0 143
13.8%
2 127
12.2%
9 104
10.0%
7 100
9.6%
6 87
8.4%
3 82
7.9%
4 81
7.8%
8 74
7.1%
5 58
 
5.6%
Other Punctuation
ValueCountFrequency (%)
/ 1956
46.3%
. 1353
32.0%
: 641
 
15.2%
, 202
 
4.8%
? 32
 
0.8%
% 27
 
0.6%
& 8
 
0.2%
; 3
 
0.1%
Connector Punctuation
ValueCountFrequency (%)
_ 149
100.0%
Math Symbol
ValueCountFrequency (%)
= 38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 15522
73.8%
Common 5467
 
26.0%
Hangul 55
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2
 
3.6%
2
 
3.6%
2
 
3.6%
2
 
3.6%
2
 
3.6%
2
 
3.6%
2
 
3.6%
1
 
1.8%
1
 
1.8%
1
 
1.8%
Other values (38) 38
69.1%
Latin
ValueCountFrequency (%)
t 1789
 
11.5%
o 1614
 
10.4%
a 1133
 
7.3%
w 1097
 
7.1%
c 949
 
6.1%
m 911
 
5.9%
h 872
 
5.6%
p 829
 
5.3%
r 715
 
4.6%
s 706
 
4.5%
Other values (37) 4907
31.6%
Common
ValueCountFrequency (%)
/ 1956
35.8%
. 1353
24.7%
: 641
 
11.7%
, 202
 
3.7%
1 182
 
3.3%
_ 149
 
2.7%
0 143
 
2.6%
2 127
 
2.3%
9 104
 
1.9%
7 100
 
1.8%
Other values (11) 510
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20989
99.7%
Hangul 55
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 1956
 
9.3%
t 1789
 
8.5%
o 1614
 
7.7%
. 1353
 
6.4%
a 1133
 
5.4%
w 1097
 
5.2%
c 949
 
4.5%
m 911
 
4.3%
h 872
 
4.2%
p 829
 
3.9%
Other values (58) 8486
40.4%
Hangul
ValueCountFrequency (%)
2
 
3.6%
2
 
3.6%
2
 
3.6%
2
 
3.6%
2
 
3.6%
2
 
3.6%
2
 
3.6%
1
 
1.8%
1
 
1.8%
1
 
1.8%
Other values (38) 38
69.1%
Distinct27
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size23.3 KiB
<NA>
870 
목포 관광특구
293 
노적봉
281 
노을공원
221 
장미의거리
221 
Other values (22)
1084 

Length

Max length22
Median length16
Mean length6.0020202
Min length3

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 870
29.3%
목포 관광특구 293
 
9.9%
노적봉 281
 
9.5%
노을공원 221
 
7.4%
장미의거리 221
 
7.4%
갓바위 문화타운 203
 
6.8%
목포평화광장 195
 
6.6%
목포 갓바위 117
 
3.9%
멜라콩다리 비석 107
 
3.6%
목포시립도서관 100
 
3.4%
Other values (17) 362
12.2%

Length

2023-12-12T12:25:05.745035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 870
20.9%
목포 612
14.7%
갓바위 320
 
7.7%
관광특구 293
 
7.0%
노적봉 281
 
6.8%
노을공원 221
 
5.3%
장미의거리 221
 
5.3%
문화타운 203
 
4.9%
목포평화광장 195
 
4.7%
비석 107
 
2.6%
Other values (29) 834
20.1%

인근랜드마크위도
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)1.2%
Missing870
Missing (%)29.3%
Infinite0
Infinite (%)0.0%
Mean34.799207
Minimum34.67645
Maximum34.81232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.2 KiB
2023-12-12T12:25:05.982593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.67645
5-th percentile34.78693
Q134.79343
median34.79938
Q334.80896
95-th percentile34.81188
Maximum34.81232
Range0.13587
Interquartile range (IQR)0.01553

Descriptive statistics

Standard deviation0.0094649432
Coefficient of variation (CV)0.00027198732
Kurtosis12.75319
Mean34.799207
Median Absolute Deviation (MAD)0.00595
Skewness-1.1625001
Sum73078.335
Variance8.9585149 × 10-5
MonotonicityNot monotonic
2023-12-12T12:25:06.207373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
34.81188 293
 
9.9%
34.78693 281
 
9.5%
34.80896 221
 
7.4%
34.80222 221
 
7.4%
34.79368 203
 
6.8%
34.79666 195
 
6.6%
34.79343 117
 
3.9%
34.7939 107
 
3.6%
34.80355 100
 
3.4%
34.7877803 92
 
3.1%
Other values (16) 270
 
9.1%
(Missing) 870
29.3%
ValueCountFrequency (%)
34.67645 1
 
< 0.1%
34.75936 6
 
0.2%
34.77794 4
 
0.1%
34.78175 7
 
0.2%
34.78241 3
 
0.1%
34.78285 1
 
< 0.1%
34.78693 281
9.5%
34.78773 3
 
0.1%
34.7877803 92
 
3.1%
34.78901 1
 
< 0.1%
ValueCountFrequency (%)
34.81232 85
 
2.9%
34.81188 293
9.9%
34.80896 221
7.4%
34.80448 16
 
0.5%
34.80355 100
 
3.4%
34.8034 16
 
0.5%
34.80222 221
7.4%
34.79985 27
 
0.9%
34.79938 73
 
2.5%
34.79666 195
6.6%

인근랜드마크경도
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)1.2%
Missing870
Missing (%)29.3%
Infinite0
Infinite (%)0.0%
Mean126.40162
Minimum126.3546
Maximum126.8999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.2 KiB
2023-12-12T12:25:06.414615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.3546
5-th percentile126.3658
Q1126.3846
median126.3923
Q3126.425
95-th percentile126.4338
Maximum126.8999
Range0.5453
Interquartile range (IQR)0.0404

Descriptive statistics

Standard deviation0.026432675
Coefficient of variation (CV)0.00020911659
Kurtosis58.541424
Mean126.40162
Median Absolute Deviation (MAD)0.0265
Skewness3.2542723
Sum265443.39
Variance0.00069868632
MonotonicityNot monotonic
2023-12-12T12:25:06.613727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
126.3923 294
 
9.9%
126.3846 281
 
9.5%
126.4258 221
 
7.4%
126.3658 221
 
7.4%
126.421 203
 
6.8%
126.4338 195
 
6.6%
126.425 117
 
3.9%
126.3879 107
 
3.6%
126.4031 100
 
3.4%
126.38989 92
 
3.1%
Other values (15) 269
 
9.1%
(Missing) 870
29.3%
ValueCountFrequency (%)
126.3546 6
 
0.2%
126.3592 4
 
0.1%
126.3651 16
 
0.5%
126.3658 221
7.4%
126.3674 3
 
0.1%
126.37 73
 
2.5%
126.3751 27
 
0.9%
126.3754 16
 
0.5%
126.3763 8
 
0.3%
126.3773 7
 
0.2%
ValueCountFrequency (%)
126.8999 1
 
< 0.1%
126.4587 16
 
0.5%
126.438 85
 
2.9%
126.4338 195
6.6%
126.4258 221
7.4%
126.425 117
 
3.9%
126.421 203
6.8%
126.4159 3
 
0.1%
126.4031 100
 
3.4%
126.3923 294
9.9%

인근랜드마크와거리
Real number (ℝ)

MISSING 

Distinct1869
Distinct (%)89.0%
Missing870
Missing (%)29.3%
Infinite0
Infinite (%)0.0%
Mean486.15612
Minimum0.003328
Maximum998.60131
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.2 KiB
2023-12-12T12:25:06.825193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.003328
5-th percentile83.196523
Q1272.54198
median494.18807
Q3683.51836
95-th percentile894.4268
Maximum998.60131
Range998.59798
Interquartile range (IQR)410.97638

Descriptive statistics

Standard deviation254.58705
Coefficient of variation (CV)0.52367344
Kurtosis-0.98324727
Mean486.15612
Median Absolute Deviation (MAD)205.51557
Skewness-0.0027043716
Sum1020927.9
Variance64814.565
MonotonicityNot monotonic
2023-12-12T12:25:07.054365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.003328 11
 
0.4%
193.075135 8
 
0.3%
429.831447 7
 
0.2%
7.524185 6
 
0.2%
768.38845 5
 
0.2%
173.27582 5
 
0.2%
88.841682 5
 
0.2%
287.590371 4
 
0.1%
110.738578 4
 
0.1%
103.130776 3
 
0.1%
Other values (1859) 2042
68.8%
(Missing) 870
29.3%
ValueCountFrequency (%)
0.003328 11
0.4%
1.35433 1
 
< 0.1%
3.38624 3
 
0.1%
3.843582 1
 
< 0.1%
4.567026 1
 
< 0.1%
7.524185 6
0.2%
23.067214 1
 
< 0.1%
23.935223 1
 
< 0.1%
25.941049 1
 
< 0.1%
32.518434 1
 
< 0.1%
ValueCountFrequency (%)
998.601308 1
< 0.1%
998.149483 1
< 0.1%
996.536694 1
< 0.1%
996.536281 1
< 0.1%
995.963861 1
< 0.1%
995.896264 1
< 0.1%
995.627898 1
< 0.1%
994.160017 1
< 0.1%
994.112488 1
< 0.1%
993.493081 1
< 0.1%

키오스크유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
False
2922 
True
 
48
ValueCountFrequency (%)
False 2922
98.4%
True 48
 
1.6%
2023-12-12T12:25:07.220461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

모바일페이먼트유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
False
2919 
True
 
51
ValueCountFrequency (%)
False 2919
98.3%
True 51
 
1.7%
2023-12-12T12:25:07.357292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

스마트오더유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
False
2919 
True
 
51
ValueCountFrequency (%)
False 2919
98.3%
True 51
 
1.7%
2023-12-12T12:25:07.475784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

대표메뉴명
Text

MISSING 

Distinct335
Distinct (%)96.8%
Missing2624
Missing (%)88.4%
Memory size23.3 KiB
2023-12-12T12:25:07.732691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length22
Mean length11.913295
Min length2

Characters and Unicode

Total characters4122
Distinct characters374
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

Unique327 ?
Unique (%)94.5%

Sample

1st row참돔, 농어, 광어
2nd row생선조림, 닭도리탕
3rd row꼬치구이.소세지
4th row아메리카노 오자몽에이드 사과유자차
5th row족발.보쌈
ValueCountFrequency (%)
마른안주 13
 
2.0%
8
 
1.3%
광어 8
 
1.3%
과일 7
 
1.1%
농어회 7
 
1.1%
참돔 7
 
1.1%
아메리카노 7
 
1.1%
참돔회 6
 
0.9%
낙지 6
 
0.9%
광어회 6
 
0.9%
Other values (458) 561
88.2%
2023-12-12T12:25:08.235029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 425
 
10.3%
293
 
7.1%
104
 
2.5%
94
 
2.3%
90
 
2.2%
77
 
1.9%
. 75
 
1.8%
67
 
1.6%
66
 
1.6%
56
 
1.4%
Other values (364) 2775
67.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3275
79.5%
Other Punctuation 509
 
12.3%
Space Separator 293
 
7.1%
Decimal Number 25
 
0.6%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%
Lowercase Letter 3
 
0.1%
Math Symbol 2
 
< 0.1%
Uppercase Letter 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
104
 
3.2%
94
 
2.9%
90
 
2.7%
77
 
2.4%
67
 
2.0%
66
 
2.0%
56
 
1.7%
55
 
1.7%
49
 
1.5%
48
 
1.5%
Other values (344) 2569
78.4%
Decimal Number
ValueCountFrequency (%)
0 14
56.0%
2 4
 
16.0%
5 3
 
12.0%
1 2
 
8.0%
3 1
 
4.0%
6 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 425
83.5%
. 75
 
14.7%
/ 8
 
1.6%
: 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
g 1
33.3%
v 1
33.3%
t 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
O 1
50.0%
X 1
50.0%
Space Separator
ValueCountFrequency (%)
293
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3275
79.5%
Common 842
 
20.4%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
104
 
3.2%
94
 
2.9%
90
 
2.7%
77
 
2.4%
67
 
2.0%
66
 
2.0%
56
 
1.7%
55
 
1.7%
49
 
1.5%
48
 
1.5%
Other values (344) 2569
78.4%
Common
ValueCountFrequency (%)
, 425
50.5%
293
34.8%
. 75
 
8.9%
0 14
 
1.7%
/ 8
 
1.0%
) 6
 
0.7%
( 6
 
0.7%
2 4
 
0.5%
5 3
 
0.4%
+ 2
 
0.2%
Other values (5) 6
 
0.7%
Latin
ValueCountFrequency (%)
O 1
20.0%
X 1
20.0%
g 1
20.0%
v 1
20.0%
t 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3270
79.3%
ASCII 847
 
20.5%
Compat Jamo 5
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 425
50.2%
293
34.6%
. 75
 
8.9%
0 14
 
1.7%
/ 8
 
0.9%
) 6
 
0.7%
( 6
 
0.7%
2 4
 
0.5%
5 3
 
0.4%
+ 2
 
0.2%
Other values (10) 11
 
1.3%
Hangul
ValueCountFrequency (%)
104
 
3.2%
94
 
2.9%
90
 
2.8%
77
 
2.4%
67
 
2.0%
66
 
2.0%
56
 
1.7%
55
 
1.7%
49
 
1.5%
48
 
1.5%
Other values (343) 2564
78.4%
Compat Jamo
ValueCountFrequency (%)
5
100.0%

식당상태
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.3 KiB
운영중
2417 
미확인
252 
신규
 
203
폐업
 
98

Length

Max length3
Median length3
Mean length2.8986532
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 2417
81.4%
미확인 252
 
8.5%
신규 203
 
6.8%
폐업 98
 
3.3%

Length

2023-12-12T12:25:08.436429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:25:08.592857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 2417
81.4%
미확인 252
 
8.5%
신규 203
 
6.8%
폐업 98
 
3.3%

Sample

식당(ID)식당명지역명입식좌석수좌식좌석수주차가능여부와이파이제공여부놀이방유무반려동물입장가능여부다국어메뉴판제공여부화장실정보내용휴무일정보내용영업시간내용택배판매유무배리어프리유무배달서비스유무예약방식명온라인예약정보내용홈페이지(URL)인근랜드마크명인근랜드마크위도인근랜드마크경도인근랜드마크와거리키오스크유무모바일페이먼트유무스마트오더유무대표메뉴명식당상태
01529서해 아구찜전라남도 목포시00NNNNYN화요일매일 07:00~10:00NNN전화예약<NA><NA>노적봉34.78693126.384688.841682NNN<NA>운영중
11531영해복집전라남도 목포시3640NNNNYN<NA>평일 08:00~20:00NNNN<NA><NA>노적봉34.78693126.3846191.365253NNN<NA>운영중
21697우리수산전라남도 목포시00YNNNNN<NA><NA>NNNN<NA><NA><NA><NA><NA><NA>NNN참돔, 농어, 광어운영중
31739주일회포차전라남도 목포시00NNNNNN<NA><NA>NNNN<NA><NA><NA><NA><NA><NA>NNN<NA>미확인
42083가락지죽집전라남도 목포시00NNNNYN<NA>매일 10:00~20:30NNNN<NA><NA>노적봉34.78693126.3846473.911974NNN<NA>운영중
52383동건이네식육식당전라남도 목포시00NNNNYN<NA>매일 17:00~24:00NNYN<NA><NA>노을공원34.80896126.3658952.89007NNN<NA>운영중
62496노랑통닭 용해점전라남도 목포시00NNNNNN<NA><NA>NNNN<NA><NA><NA><NA><NA><NA>NNN<NA>운영중
72735한양촌닭전라남도 목포시032NNNNYN<NA><NA>NNNN<NA><NA>갓바위 문화타운34.79368126.42123.067214NNN<NA>운영중
83081보리마당전라남도 목포시00NNNNNN<NA><NA>NNNN<NA><NA><NA><NA><NA><NA>NNN<NA>미확인
93116만호유달횟집전라남도 목포시096YNNNYN연중무휴매일 10:30~21:00NNN전화예약<NA>http://www.mhyudal.com/노적봉34.78693126.384684.162598NNN<NA>운영중
식당(ID)식당명지역명입식좌석수좌식좌석수주차가능여부와이파이제공여부놀이방유무반려동물입장가능여부다국어메뉴판제공여부화장실정보내용휴무일정보내용영업시간내용택배판매유무배리어프리유무배달서비스유무예약방식명온라인예약정보내용홈페이지(URL)인근랜드마크명인근랜드마크위도인근랜드마크경도인근랜드마크와거리키오스크유무모바일페이먼트유무스마트오더유무대표메뉴명식당상태
2960969654메리보아전라남도 목포시00NNNNNN<NA><NA>NNNN<NA><NA>목포시립도서관34.80355126.4031743.658899NNN<NA>신규
2961969724무인카페여기야전라남도 목포시00NNNNNN<NA><NA>NNNN<NA><NA>노적봉34.78693126.384668.51471NNN<NA>신규
2962970215더블유바전라남도 목포시00NNNNNN<NA><NA>NNNN<NA><NA>갓바위 문화타운34.79368126.421523.442472NNN<NA>신규
2963970239예향촌 본점전라남도 목포시00NNNNNN<NA><NA>NNNN<NA><NA>목포 관광특구34.81188126.3923751.575615NNN<NA>신규
2964970365하나당전라남도 목포시00NNNNNN<NA><NA>NNNN<NA><NA>목포시립도서관34.80355126.4031277.588401NNN<NA>신규
2965970513마이더스스낵전라남도 목포시00NNNNNN<NA><NA>NNNN<NA><NA>고하도 전망대34.77794126.3592341.55818NNN<NA>신규
2966970537현창음료전라남도 목포시00NNNNNN<NA><NA>NNNN<NA><NA>목포 관광특구34.81188126.3923885.426611NNN<NA>신규
2967970559마이더스에프앤비전라남도 목포시00NNNNNN<NA><NA>NNNN<NA><NA>고하도 전망대34.77794126.3592341.55818NNN<NA>신규
2968970738도모다찌전라남도 목포시00NNNNNN<NA><NA>NNNN<NA><NA>노을공원34.80896126.3658933.784911NNN<NA>신규
29691573731햇빛공작소<NA>00NNNNNN<NA><NA>NNNN<NA><NA><NA><NA><NA><NA>NNN<NA>운영중