Overview

Dataset statistics

Number of variables23
Number of observations10000
Missing cells49445
Missing cells (%)21.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 MiB
Average record size in memory197.0 B

Variable types

Numeric5
Text6
Categorical5
Boolean7

Dataset

Description울산광역시에 위치한 식당의 운영정보를 적어놓은 데이터 입니다. 식당명, 주차가능여부, 와이파이제공여부, 놀이방유무, 다국어메뉴판제공여부 등 식당운영정보를 포함하고 있습니다.
Author재단법인울산관광재단
URLhttps://www.data.go.kr/data/15109546/fileData.do

Alerts

식당상태 has constant value ""Constant
놀이방유무 is highly imbalanced (94.1%)Imbalance
다국어메뉴판제공여부 is highly imbalanced (50.8%)Imbalance
화장실정보내용 is highly imbalanced (52.3%)Imbalance
휴무일정보내용 is highly imbalanced (83.2%)Imbalance
배달서비스유무 is highly imbalanced (50.5%)Imbalance
온라인예약정보내용 is highly imbalanced (80.8%)Imbalance
스마트오더유무 is highly imbalanced (67.9%)Imbalance
해시태그 is highly imbalanced (93.2%)Imbalance
지점명 has 7662 (76.6%) missing valuesMissing
영업시간내용 has 6970 (69.7%) missing valuesMissing
홈페이지(URL) has 8615 (86.2%) missing valuesMissing
인근랜드마크명 has 1939 (19.4%) missing valuesMissing
인근랜드마크위도 has 1939 (19.4%) missing valuesMissing
인근랜드마크경도 has 1939 (19.4%) missing valuesMissing
인근랜드마크와거리 has 1939 (19.4%) missing valuesMissing
대표메뉴명 has 8492 (84.9%) missing valuesMissing
면적정보내용 has 9950 (99.5%) missing valuesMissing
식당(ID) has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:37:24.290072
Analysis finished2023-12-12 00:37:26.237493
Duration1.95 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

식당(ID)
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean349519.53
Minimum11434
Maximum947767
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T09:37:26.293904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11434
5-th percentile131436.9
Q1140137.5
median149776.5
Q3912107.25
95-th percentile928345.25
Maximum947767
Range936333
Interquartile range (IQR)771969.75

Descriptive statistics

Standard deviation343683.63
Coefficient of variation (CV)0.98330308
Kurtosis-0.86638956
Mean349519.53
Median Absolute Deviation (MAD)10321
Skewness1.0592305
Sum3.4951953 × 109
Variance1.1811844 × 1011
MonotonicityNot monotonic
2023-12-12T09:37:26.408741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
140778 1
 
< 0.1%
133747 1
 
< 0.1%
928844 1
 
< 0.1%
930694 1
 
< 0.1%
149333 1
 
< 0.1%
927267 1
 
< 0.1%
132765 1
 
< 0.1%
142570 1
 
< 0.1%
922634 1
 
< 0.1%
146976 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
11434 1
< 0.1%
11437 1
< 0.1%
11438 1
< 0.1%
11440 1
< 0.1%
11441 1
< 0.1%
11442 1
< 0.1%
11443 1
< 0.1%
11446 1
< 0.1%
11448 1
< 0.1%
11449 1
< 0.1%
ValueCountFrequency (%)
947767 1
< 0.1%
930986 1
< 0.1%
930977 1
< 0.1%
930974 1
< 0.1%
930969 1
< 0.1%
930967 1
< 0.1%
930956 1
< 0.1%
930947 1
< 0.1%
930944 1
< 0.1%
930931 1
< 0.1%

식당명
Text

Distinct8431
Distinct (%)84.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T09:37:26.681174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length29
Mean length5.1585
Min length1

Characters and Unicode

Total characters51585
Distinct characters1060
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7716 ?
Unique (%)77.2%

Sample

1st row동원초장
2nd row한솔냉면
3rd row더블핸스테이크
4th row치킨나라
5th row사계절 고기한판
ValueCountFrequency (%)
파리바게뜨 50
 
0.5%
카페 49
 
0.5%
맘스터치 32
 
0.3%
더벤티 23
 
0.2%
커피 23
 
0.2%
옛날통닭 22
 
0.2%
뚜레쥬르 20
 
0.2%
롯데리아 20
 
0.2%
파스쿠찌 18
 
0.2%
아몬드치킨 18
 
0.2%
Other values (8782) 10483
97.4%
2023-12-12T09:37:27.043491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 1130
 
2.2%
식 920
 
1.8%
리 829
 
1.6%
스 764
 
1.5%
763
 
1.5%
당 628
 
1.2%
국 614
 
1.2%
가 603
 
1.2%
밥 588
 
1.1%
집 571
 
1.1%
Other values (1050) 44175
85.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 49000
95.0%
Space Separator 763
 
1.5%
Decimal Number 575
 
1.1%
Lowercase Letter 420
 
0.8%
Uppercase Letter 348
 
0.7%
Other Punctuation 158
 
0.3%
Close Punctuation 154
 
0.3%
Open Punctuation 154
 
0.3%
Dash Punctuation 6
 
< 0.1%
Control 3
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1130
 
2.3%
식 920
 
1.9%
리 829
 
1.7%
스 764
 
1.6%
당 628
 
1.3%
국 614
 
1.3%
가 603
 
1.2%
밥 588
 
1.2%
집 571
 
1.2%
장 538
 
1.1%
Other values (969) 41815
85.3%
Uppercase Letter
ValueCountFrequency (%)
C 37
 
10.6%
O 32
 
9.2%
S 31
 
8.9%
A 26
 
7.5%
N 21
 
6.0%
B 21
 
6.0%
E 20
 
5.7%
G 19
 
5.5%
M 18
 
5.2%
L 13
 
3.7%
Other values (15) 110
31.6%
Lowercase Letter
ValueCountFrequency (%)
e 59
14.0%
a 46
11.0%
o 43
 
10.2%
n 26
 
6.2%
r 26
 
6.2%
f 26
 
6.2%
i 22
 
5.2%
c 22
 
5.2%
l 20
 
4.8%
t 19
 
4.5%
Other values (14) 111
26.4%
Other Punctuation
ValueCountFrequency (%)
& 90
57.0%
, 22
 
13.9%
. 22
 
13.9%
! 6
 
3.8%
: 5
 
3.2%
# 3
 
1.9%
' 2
 
1.3%
· 2
 
1.3%
@ 2
 
1.3%
? 1
 
0.6%
Other values (3) 3
 
1.9%
Decimal Number
ValueCountFrequency (%)
1 102
17.7%
2 100
17.4%
0 78
13.6%
3 65
11.3%
9 61
10.6%
5 55
9.6%
7 31
 
5.4%
6 30
 
5.2%
4 27
 
4.7%
8 26
 
4.5%
Close Punctuation
ValueCountFrequency (%)
) 153
99.4%
] 1
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 153
99.4%
[ 1
 
0.6%
Space Separator
ValueCountFrequency (%)
763
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Control
ValueCountFrequency (%)
3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48993
95.0%
Common 1817
 
3.5%
Latin 768
 
1.5%
Han 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1130
 
2.3%
식 920
 
1.9%
리 829
 
1.7%
스 764
 
1.6%
당 628
 
1.3%
국 614
 
1.3%
가 603
 
1.2%
밥 588
 
1.2%
집 571
 
1.2%
장 538
 
1.1%
Other values (962) 41808
85.3%
Latin
ValueCountFrequency (%)
e 59
 
7.7%
a 46
 
6.0%
o 43
 
5.6%
C 37
 
4.8%
O 32
 
4.2%
S 31
 
4.0%
A 26
 
3.4%
n 26
 
3.4%
r 26
 
3.4%
f 26
 
3.4%
Other values (39) 416
54.2%
Common
ValueCountFrequency (%)
763
42.0%
) 153
 
8.4%
( 153
 
8.4%
1 102
 
5.6%
2 100
 
5.5%
& 90
 
5.0%
0 78
 
4.3%
3 65
 
3.6%
9 61
 
3.4%
5 55
 
3.0%
Other values (22) 197
 
10.8%
Han
ValueCountFrequency (%)
玉 1
14.3%
大 1
14.3%
香 1
14.3%
一 1
14.3%
王 1
14.3%
辛 1
14.3%
味 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48961
94.9%
ASCII 2582
 
5.0%
Compat Jamo 32
 
0.1%
CJK 7
 
< 0.1%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 1130
 
2.3%
식 920
 
1.9%
리 829
 
1.7%
스 764
 
1.6%
당 628
 
1.3%
국 614
 
1.3%
가 603
 
1.2%
밥 588
 
1.2%
집 571
 
1.2%
장 538
 
1.1%
Other values (949) 41776
85.3%
ASCII
ValueCountFrequency (%)
763
29.6%
) 153
 
5.9%
( 153
 
5.9%
1 102
 
4.0%
2 100
 
3.9%
& 90
 
3.5%
0 78
 
3.0%
3 65
 
2.5%
9 61
 
2.4%
e 59
 
2.3%
Other values (69) 958
37.1%
Compat Jamo
ValueCountFrequency (%)
ㅤ 8
25.0%
ㅍ 4
12.5%
ㅑ 3
 
9.4%
ㅅ 3
 
9.4%
ㅌ 2
 
6.2%
ㄸ 2
 
6.2%
ㅋ 2
 
6.2%
ㅏ 2
 
6.2%
ㅇ 2
 
6.2%
ㅗ 1
 
3.1%
Other values (3) 3
 
9.4%
None
ValueCountFrequency (%)
· 2
66.7%
＆ 1
33.3%
CJK
ValueCountFrequency (%)
玉 1
14.3%
大 1
14.3%
香 1
14.3%
一 1
14.3%
王 1
14.3%
辛 1
14.3%
味 1
14.3%

지점명
Text

MISSING 

Distinct622
Distinct (%)26.6%
Missing7662
Missing (%)76.6%
Memory size156.2 KiB
2023-12-12T09:37:27.247638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length4.2249786
Min length2

Characters and Unicode

Total characters9878
Distinct characters276
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

Unique408 ?
Unique (%)17.5%

Sample

1st row울산대왕암공원점
2nd row방어동점
3rd row울산본점
4th row달동점
5th row농소점
ValueCountFrequency (%)
울산점 88
 
3.6%
본점 80
 
3.3%
삼산점 70
 
2.9%
언양점 62
 
2.5%
울산 57
 
2.3%
무거점 45
 
1.8%
달동점 44
 
1.8%
호계점 43
 
1.8%
울산본점 37
 
1.5%
울산대점 36
 
1.5%
Other values (584) 1871
76.9%
2023-12-12T09:37:27.550965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 2367
24.0%
산 1171
 
11.9%
울 943
 
9.5%
동 264
 
2.7%
구 235
 
2.4%
정 187
 
1.9%
남 167
 
1.7%
본 159
 
1.6%
신 157
 
1.6%
삼 155
 
1.6%
Other values (266) 4073
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9648
97.7%
Space Separator 95
 
1.0%
Decimal Number 66
 
0.7%
Uppercase Letter 56
 
0.6%
Lowercase Letter 11
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 2367
24.5%
산 1171
 
12.1%
울 943
 
9.8%
동 264
 
2.7%
구 235
 
2.4%
정 187
 
1.9%
남 167
 
1.7%
본 159
 
1.6%
신 157
 
1.6%
삼 155
 
1.6%
Other values (240) 3843
39.8%
Uppercase Letter
ValueCountFrequency (%)
T 11
19.6%
C 10
17.9%
V 9
16.1%
D 9
16.1%
G 9
16.1%
K 2
 
3.6%
N 1
 
1.8%
F 1
 
1.8%
S 1
 
1.8%
E 1
 
1.8%
Other values (2) 2
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
e 3
27.3%
o 2
18.2%
f 2
18.2%
l 2
18.2%
h 1
 
9.1%
c 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
2 28
42.4%
1 26
39.4%
3 7
 
10.6%
4 3
 
4.5%
5 2
 
3.0%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
95
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9648
97.7%
Common 163
 
1.7%
Latin 67
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 2367
24.5%
산 1171
 
12.1%
울 943
 
9.8%
동 264
 
2.7%
구 235
 
2.4%
정 187
 
1.9%
남 167
 
1.7%
본 159
 
1.6%
신 157
 
1.6%
삼 155
 
1.6%
Other values (240) 3843
39.8%
Latin
ValueCountFrequency (%)
T 11
16.4%
C 10
14.9%
V 9
13.4%
D 9
13.4%
G 9
13.4%
e 3
 
4.5%
o 2
 
3.0%
f 2
 
3.0%
l 2
 
3.0%
K 2
 
3.0%
Other values (8) 8
11.9%
Common
ValueCountFrequency (%)
95
58.3%
2 28
 
17.2%
1 26
 
16.0%
3 7
 
4.3%
4 3
 
1.8%
5 2
 
1.2%
. 1
 
0.6%
, 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9648
97.7%
ASCII 230
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 2367
24.5%
산 1171
 
12.1%
울 943
 
9.8%
동 264
 
2.7%
구 235
 
2.4%
정 187
 
1.9%
남 167
 
1.7%
본 159
 
1.6%
신 157
 
1.6%
삼 155
 
1.6%
Other values (240) 3843
39.8%
ASCII
ValueCountFrequency (%)
95
41.3%
2 28
 
12.2%
1 26
 
11.3%
T 11
 
4.8%
C 10
 
4.3%
V 9
 
3.9%
D 9
 
3.9%
G 9
 
3.9%
3 7
 
3.0%
e 3
 
1.3%
Other values (16) 23
 
10.0%

지역명
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
남구
3386 
울주군
2118 
중구
1708 
북구
1467 
동구
1321 

Length

Max length3
Median length2
Mean length2.2118
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row남구
2nd row동구
3rd row동구
4th row동구
5th row동구

Common Values

ValueCountFrequency (%)
남구 3386
33.9%
울주군 2118
21.2%
중구 1708
17.1%
북구 1467
14.7%
동구 1321
 
13.2%

Length

2023-12-12T09:37:27.671778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:37:27.774621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남구 3386
33.9%
울주군 2118
21.2%
중구 1708
17.1%
북구 1467
14.7%
동구 1321
 
13.2%

주차가능여부
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
8888 
True
1112 
ValueCountFrequency (%)
False 8888
88.9%
True 1112
 
11.1%
2023-12-12T09:37:27.847836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

와이파이제공여부
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
8868 
True
1132 
ValueCountFrequency (%)
False 8868
88.7%
True 1132
 
11.3%
2023-12-12T09:37:27.911221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

놀이방유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9931 
True
 
69
ValueCountFrequency (%)
False 9931
99.3%
True 69
 
0.7%
2023-12-12T09:37:27.971723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

다국어메뉴판제공여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
8926 
True
1074 
ValueCountFrequency (%)
False 8926
89.3%
True 1074
 
10.7%
2023-12-12T09:37:28.041440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

화장실정보내용
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
8975 
True
1025 
ValueCountFrequency (%)
False 8975
89.8%
True 1025
 
10.2%
2023-12-12T09:37:28.110610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

휴무일정보내용
Categorical

IMBALANCE 

Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8833 
일요일
 
479
월요일
 
284
연중무휴
 
208
화요일
 
76
Other values (22)
 
120

Length

Max length192
Median length4
Mean length3.9474
Min length2

Unique

Unique13 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8833
88.3%
일요일 479
 
4.8%
월요일 284
 
2.8%
연중무휴 208
 
2.1%
화요일 76
 
0.8%
수요일 33
 
0.3%
토요일 27
 
0.3%
주말 12
 
0.1%
공휴일 12
 
0.1%
목요일 9
 
0.1%
Other values (17) 27
 
0.3%

Length

2023-12-12T09:37:28.205945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 8833
87.7%
일요일 489
 
4.9%
월요일 288
 
2.9%
연중무휴 209
 
2.1%
화요일 77
 
0.8%
수요일 34
 
0.3%
토요일 29
 
0.3%
공휴일 23
 
0.2%
주말 15
 
0.1%
14
 
0.1%
Other values (24) 60
 
0.6%

영업시간내용
Text

MISSING 

Distinct873
Distinct (%)28.8%
Missing6970
Missing (%)69.7%
Memory size156.2 KiB
2023-12-12T09:37:28.415763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length192
Median length14
Mean length16.711221
Min length14

Characters and Unicode

Total characters50635
Distinct characters71
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

Unique620 ?
Unique (%)20.5%

Sample

1st row매일 11:30~22:30
2nd row매일 10:00~22:00
3rd row매일 14:00~00:00
4th row매일 17:00~23:00
5th row매일 11:00~21:00
ValueCountFrequency (%)
매일 2670
37.8%
평일 438
 
6.2%
10:00~22:00 214
 
3.0%
11:00~22:00 211
 
3.0%
11:00~21:00 187
 
2.6%
주말 159
 
2.2%
토요일 120
 
1.7%
11:00~23:00 97
 
1.4%
00:00~24:00 92
 
1.3%
10:00~21:00 92
 
1.3%
Other values (499) 2787
39.4%
2023-12-12T09:37:28.740978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 15480
30.6%
: 7050
13.9%
1 5162
 
10.2%
4037
 
8.0%
2 3744
 
7.4%
~ 3524
 
7.0%
일 3383
 
6.7%
매 2671
 
5.3%
3 1714
 
3.4%
, 480
 
0.9%
Other values (61) 3390
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28192
55.7%
Other Punctuation 7532
 
14.9%
Other Letter 7307
 
14.4%
Space Separator 4037
 
8.0%
Math Symbol 3538
 
7.0%
Lowercase Letter 20
 
< 0.1%
Uppercase Letter 8
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 3383
46.3%
매 2671
36.6%
평 438
 
6.0%
요 190
 
2.6%
주 160
 
2.2%
말 159
 
2.2%
토 120
 
1.6%
휴 47
 
0.6%
공 42
 
0.6%
월 12
 
0.2%
Other values (34) 85
 
1.2%
Decimal Number
ValueCountFrequency (%)
0 15480
54.9%
1 5162
 
18.3%
2 3744
 
13.3%
3 1714
 
6.1%
4 445
 
1.6%
7 436
 
1.5%
9 366
 
1.3%
6 322
 
1.1%
5 263
 
0.9%
8 260
 
0.9%
Lowercase Letter
ValueCountFrequency (%)
e 5
25.0%
i 3
15.0%
m 3
15.0%
r 2
 
10.0%
a 2
 
10.0%
k 2
 
10.0%
t 2
 
10.0%
b 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
: 7050
93.6%
, 480
 
6.4%
. 2
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 3524
99.6%
| 14
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
T 4
50.0%
B 4
50.0%
Space Separator
ValueCountFrequency (%)
4037
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 43300
85.5%
Hangul 7307
 
14.4%
Latin 28
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 3383
46.3%
매 2671
36.6%
평 438
 
6.0%
요 190
 
2.6%
주 160
 
2.2%
말 159
 
2.2%
토 120
 
1.6%
휴 47
 
0.6%
공 42
 
0.6%
월 12
 
0.2%
Other values (34) 85
 
1.2%
Common
ValueCountFrequency (%)
0 15480
35.8%
: 7050
16.3%
1 5162
 
11.9%
4037
 
9.3%
2 3744
 
8.6%
~ 3524
 
8.1%
3 1714
 
4.0%
, 480
 
1.1%
4 445
 
1.0%
7 436
 
1.0%
Other values (7) 1228
 
2.8%
Latin
ValueCountFrequency (%)
e 5
17.9%
T 4
14.3%
B 4
14.3%
i 3
10.7%
m 3
10.7%
r 2
 
7.1%
a 2
 
7.1%
k 2
 
7.1%
t 2
 
7.1%
b 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43328
85.6%
Hangul 7307
 
14.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 15480
35.7%
: 7050
16.3%
1 5162
 
11.9%
4037
 
9.3%
2 3744
 
8.6%
~ 3524
 
8.1%
3 1714
 
4.0%
, 480
 
1.1%
4 445
 
1.0%
7 436
 
1.0%
Other values (17) 1256
 
2.9%
Hangul
ValueCountFrequency (%)
일 3383
46.3%
매 2671
36.6%
평 438
 
6.0%
요 190
 
2.6%
주 160
 
2.2%
말 159
 
2.2%
토 120
 
1.6%
휴 47
 
0.6%
공 42
 
0.6%
월 12
 
0.2%
Other values (34) 85
 
1.2%

배달서비스유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
8917 
True
1083 
ValueCountFrequency (%)
False 8917
89.2%
True 1083
 
10.8%
2023-12-12T09:37:28.836477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

온라인예약정보내용
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9359 
레드테이블,네이버
 
356
레드테이블
 
174
네이버
 
66
네이버, LIVE DB
 
45

Length

Max length12
Median length4
Mean length4.2248
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9359
93.6%
레드테이블,네이버 356
 
3.6%
레드테이블 174
 
1.7%
네이버 66
 
0.7%
네이버, LIVE DB 45
 
0.4%

Length

2023-12-12T09:37:28.916092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:37:29.008513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9359
92.8%
레드테이블,네이버 356
 
3.5%
레드테이블 174
 
1.7%
네이버 111
 
1.1%
live 45
 
0.4%
db 45
 
0.4%

홈페이지(URL)
Text

MISSING 

Distinct1133
Distinct (%)81.8%
Missing8615
Missing (%)86.2%
Memory size156.2 KiB
2023-12-12T09:37:29.222566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length251
Median length137
Mean length43.397112
Min length13

Characters and Unicode

Total characters60105
Distinct characters179
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

Unique1069 ?
Unique (%)77.2%

Sample

1st rowhttp://naver.me/GureLO
2nd rowhttp://www.frankburger.co.kr/
3rd rowhttp://www.intagram.com/littleowl_cafe
4th rowhttp://www.yumpo.co.kr/
5th rowhttp://www.intagram.com/eeaw_coffe/,http://m-page.co.kr/eeawcoffee/,http://blog.naver.com/kfmtltm78
ValueCountFrequency (%)
http://www.pari.co.kr 28
 
2.0%
http://theventi.co.kr/,http://www.facebook.com/theventikr,http://www.intagram.com/theventi 19
 
1.4%
http://www.tarbuck.co.kr/,http://www.facebook.com/tarbuckkorea,http://www.intagram.com/tarbuckkorea,http://www.itarbuckblog.co.kr 15
 
1.1%
http://www.tudari.co.kr 14
 
1.0%
http://www.lotteria.com 11
 
0.8%
http://www.thegamjatang.co.kr 10
 
0.7%
http://jinafd.com/donation 10
 
0.7%
http://ejadam.co.kr 9
 
0.6%
http://www.pizzamaru.co.kr/,http://www.facebook.com/pizzamaru,http://www.intagram.com/pizzamaru_official 9
 
0.6%
http://www.tlj.co.kr 9
 
0.6%
Other values (1120) 1251
90.3%
2023-12-12T09:37:29.597996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 5797
 
9.6%
t 5549
 
9.2%
o 4370
 
7.3%
a 3854
 
6.4%
. 3803
 
6.3%
w 2937
 
4.9%
m 2799
 
4.7%
c 2630
 
4.4%
h 2580
 
4.3%
p 2304
 
3.8%
Other values (169) 23482
39.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 43956
73.1%
Other Punctuation 12246
 
20.4%
Decimal Number 2508
 
4.2%
Connector Punctuation 634
 
1.1%
Uppercase Letter 408
 
0.7%
Other Letter 205
 
0.3%
Dash Punctuation 78
 
0.1%
Math Symbol 70
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 14
 
6.8%
치 11
 
5.4%
다 9
 
4.4%
스 5
 
2.4%
수 5
 
2.4%
하 4
 
2.0%
족 4
 
2.0%
당 4
 
2.0%
식 4
 
2.0%
장 4
 
2.0%
Other values (97) 141
68.8%
Lowercase Letter
ValueCountFrequency (%)
t 5549
12.6%
o 4370
 
9.9%
a 3854
 
8.8%
w 2937
 
6.7%
m 2799
 
6.4%
c 2630
 
6.0%
h 2580
 
5.9%
p 2304
 
5.2%
n 2297
 
5.2%
r 2227
 
5.1%
Other values (15) 12409
28.2%
Uppercase Letter
ValueCountFrequency (%)
B 65
15.9%
C 65
15.9%
E 57
14.0%
A 39
9.6%
M 21
 
5.1%
F 19
 
4.7%
D 19
 
4.7%
P 15
 
3.7%
I 11
 
2.7%
G 11
 
2.7%
Other values (15) 86
21.1%
Decimal Number
ValueCountFrequency (%)
2 398
15.9%
1 390
15.6%
0 327
13.0%
9 272
10.8%
8 204
8.1%
4 199
7.9%
3 192
7.7%
5 190
7.6%
6 175
7.0%
7 161
6.4%
Other Punctuation
ValueCountFrequency (%)
/ 5797
47.3%
. 3803
31.1%
: 1905
 
15.6%
, 514
 
4.2%
% 141
 
1.2%
? 64
 
0.5%
@ 12
 
0.1%
& 6
 
< 0.1%
# 4
 
< 0.1%
Connector Punctuation
ValueCountFrequency (%)
_ 634
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%
Math Symbol
ValueCountFrequency (%)
= 70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 44364
73.8%
Common 15536
 
25.8%
Hangul 205
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 14
 
6.8%
치 11
 
5.4%
다 9
 
4.4%
스 5
 
2.4%
수 5
 
2.4%
하 4
 
2.0%
족 4
 
2.0%
당 4
 
2.0%
식 4
 
2.0%
장 4
 
2.0%
Other values (97) 141
68.8%
Latin
ValueCountFrequency (%)
t 5549
12.5%
o 4370
 
9.9%
a 3854
 
8.7%
w 2937
 
6.6%
m 2799
 
6.3%
c 2630
 
5.9%
h 2580
 
5.8%
p 2304
 
5.2%
n 2297
 
5.2%
r 2227
 
5.0%
Other values (40) 12817
28.9%
Common
ValueCountFrequency (%)
/ 5797
37.3%
. 3803
24.5%
: 1905
 
12.3%
_ 634
 
4.1%
, 514
 
3.3%
2 398
 
2.6%
1 390
 
2.5%
0 327
 
2.1%
9 272
 
1.8%
8 204
 
1.3%
Other values (12) 1292
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 59900
99.7%
Hangul 205
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 5797
 
9.7%
t 5549
 
9.3%
o 4370
 
7.3%
a 3854
 
6.4%
. 3803
 
6.3%
w 2937
 
4.9%
m 2799
 
4.7%
c 2630
 
4.4%
h 2580
 
4.3%
p 2304
 
3.8%
Other values (62) 23277
38.9%
Hangul
ValueCountFrequency (%)
가 14
 
6.8%
치 11
 
5.4%
다 9
 
4.4%
스 5
 
2.4%
수 5
 
2.4%
하 4
 
2.0%
족 4
 
2.0%
당 4
 
2.0%
식 4
 
2.0%
장 4
 
2.0%
Other values (97) 141
68.8%

인근랜드마크명
Text

MISSING 

Distinct266
Distinct (%)3.3%
Missing1939
Missing (%)19.4%
Memory size156.2 KiB
2023-12-12T09:37:29.816010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length6.8517554
Min length3

Characters and Unicode

Total characters55232
Distinct characters299
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)0.4%

Sample

1st row울산 농수산물도매시장
2nd row한마음회관
3rd row일산해수욕장(울산)
4th row방어진 활어센터
5th row전하황금시장
ValueCountFrequency (%)
울산 544
 
5.2%
울산디자인거리 265
 
2.5%
228
 
2.2%
현대시장 177
 
1.7%
코끼리종합시장 155
 
1.5%
울산문화예술회관 144
 
1.4%
삼산현대시장 140
 
1.3%
와우쥬본점 133
 
1.3%
와우 133
 
1.3%
쥬 133
 
1.3%
Other values (305) 8467
80.5%
2023-12-12T09:37:30.165100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 3890
 
7.0%
시 3686
 
6.7%
산 3106
 
5.6%
2458
 
4.5%
울 2242
 
4.1%
리 1310
 
2.4%
화 1148
 
2.1%
거 995
 
1.8%
종 947
 
1.7%
원 896
 
1.6%
Other values (289) 34554
62.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 51066
92.5%
Space Separator 2458
 
4.5%
Decimal Number 452
 
0.8%
Other Punctuation 334
 
0.6%
Uppercase Letter 324
 
0.6%
Close Punctuation 256
 
0.5%
Open Punctuation 256
 
0.5%
Lowercase Letter 57
 
0.1%
Dash Punctuation 29
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 3890
 
7.6%
시 3686
 
7.2%
산 3106
 
6.1%
울 2242
 
4.4%
리 1310
 
2.6%
화 1148
 
2.2%
거 995
 
1.9%
종 947
 
1.9%
원 896
 
1.8%
합 816
 
1.6%
Other values (265) 32030
62.7%
Decimal Number
ValueCountFrequency (%)
1 179
39.6%
2 125
27.7%
6 61
 
13.5%
7 45
 
10.0%
4 31
 
6.9%
3 6
 
1.3%
5 5
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
B 96
29.6%
K 72
22.2%
S 72
22.2%
M 39
12.0%
C 20
 
6.2%
P 19
 
5.9%
A 6
 
1.9%
Other Punctuation
ValueCountFrequency (%)
/ 228
68.3%
, 95
28.4%
· 11
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
l 19
33.3%
a 19
33.3%
y 19
33.3%
Space Separator
ValueCountFrequency (%)
2458
100.0%
Close Punctuation
ValueCountFrequency (%)
) 256
100.0%
Open Punctuation
ValueCountFrequency (%)
( 256
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 51066
92.5%
Common 3785
 
6.9%
Latin 381
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 3890
 
7.6%
시 3686
 
7.2%
산 3106
 
6.1%
울 2242
 
4.4%
리 1310
 
2.6%
화 1148
 
2.2%
거 995
 
1.9%
종 947
 
1.9%
원 896
 
1.8%
합 816
 
1.6%
Other values (265) 32030
62.7%
Common
ValueCountFrequency (%)
2458
64.9%
) 256
 
6.8%
( 256
 
6.8%
/ 228
 
6.0%
1 179
 
4.7%
2 125
 
3.3%
, 95
 
2.5%
6 61
 
1.6%
7 45
 
1.2%
4 31
 
0.8%
Other values (4) 51
 
1.3%
Latin
ValueCountFrequency (%)
B 96
25.2%
K 72
18.9%
S 72
18.9%
M 39
10.2%
C 20
 
5.2%
P 19
 
5.0%
l 19
 
5.0%
a 19
 
5.0%
y 19
 
5.0%
A 6
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 51066
92.5%
ASCII 4155
 
7.5%
None 11
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 3890
 
7.6%
시 3686
 
7.2%
산 3106
 
6.1%
울 2242
 
4.4%
리 1310
 
2.6%
화 1148
 
2.2%
거 995
 
1.9%
종 947
 
1.9%
원 896
 
1.8%
합 816
 
1.6%
Other values (265) 32030
62.7%
ASCII
ValueCountFrequency (%)
2458
59.2%
) 256
 
6.2%
( 256
 
6.2%
/ 228
 
5.5%
1 179
 
4.3%
2 125
 
3.0%
B 96
 
2.3%
, 95
 
2.3%
K 72
 
1.7%
S 72
 
1.7%
Other values (13) 318
 
7.7%
None
ValueCountFrequency (%)
· 11
100.0%

인근랜드마크위도
Real number (ℝ)

MISSING 

Distinct263
Distinct (%)3.3%
Missing1939
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean35.539493
Minimum35.247553
Maximum35.713343
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T09:37:30.291381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.247553
5-th percentile35.433471
Q135.526895
median35.542965
Q335.559774
95-th percentile35.623557
Maximum35.713343
Range0.4657902
Interquartile range (IQR)0.0328792

Descriptive statistics

Standard deviation0.048077053
Coefficient of variation (CV)0.0013527782
Kurtosis2.8529544
Mean35.539493
Median Absolute Deviation (MAD)0.0160701
Skewness-0.76547069
Sum286483.85
Variance0.0023114031
MonotonicityNot monotonic
2023-12-12T09:37:30.416147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.5404326 265
 
2.6%
35.5518419 177
 
1.8%
35.6328538 155
 
1.6%
35.542965 144
 
1.4%
35.5438874 140
 
1.4%
35.5486576 133
 
1.3%
35.5452786 126
 
1.3%
35.5089744 125
 
1.2%
35.5423816 123
 
1.2%
35.5387525 121
 
1.2%
Other values (253) 6552
65.5%
(Missing) 1939
 
19.4%
ValueCountFrequency (%)
35.2475526 1
 
< 0.1%
35.3546337 11
0.1%
35.35685 10
0.1%
35.3589668 8
0.1%
35.3616831 13
0.1%
35.3643356 2
 
< 0.1%
35.3702849 1
 
< 0.1%
35.3732956 2
 
< 0.1%
35.3736816 1
 
< 0.1%
35.3744746 1
 
< 0.1%
ValueCountFrequency (%)
35.7133428 22
0.2%
35.7099188 10
 
0.1%
35.6953947 1
 
< 0.1%
35.6614768 22
0.2%
35.6545645 3
 
< 0.1%
35.6545395 4
 
< 0.1%
35.6501286 5
 
0.1%
35.6442474 11
 
0.1%
35.6347443 38
0.4%
35.6341985 33
0.3%

인근랜드마크경도
Real number (ℝ)

MISSING 

Distinct263
Distinct (%)3.3%
Missing1939
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean129.32462
Minimum129.01024
Maximum129.46055
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T09:37:30.543984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.01024
5-th percentile129.12575
Q1129.30354
median129.32715
Q3129.35558
95-th percentile129.43134
Maximum129.46055
Range0.4503147
Interquartile range (IQR)0.0520386

Descriptive statistics

Standard deviation0.075955136
Coefficient of variation (CV)0.00058732155
Kurtosis1.9862066
Mean129.32462
Median Absolute Deviation (MAD)0.0236145
Skewness-1.0234612
Sum1042485.8
Variance0.0057691826
MonotonicityNot monotonic
2023-12-12T09:37:30.669339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.3368243 265
 
2.6%
129.257725 177
 
1.8%
129.3502577 155
 
1.6%
129.3271521 144
 
1.4%
129.3361274 140
 
1.4%
129.2636353 133
 
1.3%
129.3255744 126
 
1.3%
129.425443 125
 
1.2%
129.310259 123
 
1.2%
129.342806 121
 
1.2%
Other values (253) 6552
65.5%
(Missing) 1939
 
19.4%
ValueCountFrequency (%)
129.0102356 7
0.1%
129.013496 4
 
< 0.1%
129.0403862 15
0.1%
129.0560529 1
 
< 0.1%
129.0570975 3
 
< 0.1%
129.06763 4
 
< 0.1%
129.0680105 6
 
0.1%
129.0720852 8
0.1%
129.0727629 8
0.1%
129.0807938 1
 
< 0.1%
ValueCountFrequency (%)
129.4605503 1
 
< 0.1%
129.458381 1
 
< 0.1%
129.4583509 3
 
< 0.1%
129.4583155 1
 
< 0.1%
129.4583132 1
 
< 0.1%
129.4572404 3
 
< 0.1%
129.4572381 1
 
< 0.1%
129.4570589 1
 
< 0.1%
129.4567461 1
 
< 0.1%
129.4561043 22
0.2%

인근랜드마크와거리
Real number (ℝ)

MISSING 

Distinct6784
Distinct (%)84.2%
Missing1939
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean306.09989
Minimum0
Maximum699.92023
Zeros9
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T09:37:30.783223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile42.87523
Q1146.8475
median290.62177
Q3454.08822
95-th percentile623.18053
Maximum699.92023
Range699.92023
Interquartile range (IQR)307.24072

Descriptive statistics

Standard deviation183.11877
Coefficient of variation (CV)0.59823207
Kurtosis-1.0169836
Mean306.09989
Median Absolute Deviation (MAD)152.88849
Skewness0.24529415
Sum2467471.2
Variance33532.485
MonotonicityNot monotonic
2023-12-12T09:37:30.913779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
238.14792 27
 
0.3%
131.60654 22
 
0.2%
98.11335 15
 
0.1%
267.26093 14
 
0.1%
145.3236 12
 
0.1%
0.0 9
 
0.1%
214.39216 9
 
0.1%
36.0549 9
 
0.1%
17.76142 8
 
0.1%
182.35638 8
 
0.1%
Other values (6774) 7928
79.3%
(Missing) 1939
 
19.4%
ValueCountFrequency (%)
0.0 9
0.1%
0.20957 7
0.1%
1.19324 5
0.1%
1.36174 2
 
< 0.1%
1.41385 1
 
< 0.1%
1.58915 1
 
< 0.1%
1.89486 3
 
< 0.1%
1.90087 1
 
< 0.1%
1.94179 1
 
< 0.1%
2.00228 2
 
< 0.1%
ValueCountFrequency (%)
699.92023 1
< 0.1%
699.8387 1
< 0.1%
699.51362 1
< 0.1%
699.47542 1
< 0.1%
699.0967 2
< 0.1%
698.79703 1
< 0.1%
698.60815 1
< 0.1%
698.48403 1
< 0.1%
698.48137 1
< 0.1%
697.88345 1
< 0.1%

스마트오더유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9417 
True
 
583
ValueCountFrequency (%)
False 9417
94.2%
True 583
 
5.8%
2023-12-12T09:37:31.008123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

대표메뉴명
Text

MISSING 

Distinct1403
Distinct (%)93.0%
Missing8492
Missing (%)84.9%
Memory size156.2 KiB
2023-12-12T09:37:31.143141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length135
Median length72.5
Mean length29.89191
Min length1

Characters and Unicode

Total characters45077
Distinct characters786
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1370 ?
Unique (%)90.8%

Sample

1st row매운탕 1냄비,소주/맥주,초장 1인,회 비빔용 야채
2nd row갈릭 차돌 크림 파스타,목살 스테이크 + 샐러드,새우 로제 파스타,통삼겹 스테이크 + 샐러드
3rd row맛보기 순대,순대+수육(대),순대만(올순대)국밥,순대섞어국밥
4th row간장닭갈비(3인이상/200g),간장닭발(3인이상/220g),양념닭갈비(3인이상/200g),양념닭발(3인이상/110g)
5th row삼선볶음밥,삼선볶음짬뽕,삼선짬뽕,쟁반짜장(2인분)
ValueCountFrequency (%)
라떼 23
 
0.7%
마끼아또 21
 
0.7%
피자 17
 
0.5%
망고 15
 
0.5%
l,카라멜 14
 
0.4%
블렌디드,스타벅스 14
 
0.4%
돌체 14
 
0.4%
라떼,자바 14
 
0.4%
칩 14
 
0.4%
프라푸치노,카라멜 14
 
0.4%
Other values (2535) 3065
95.0%
2023-12-12T09:37:31.465778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 4087
 
9.1%
) 1963
 
4.4%
( 1961
 
4.4%
1727
 
3.8%
0 1068
 
2.4%
1 785
 
1.7%
이 673
 
1.5%
g 658
 
1.5%
리 620
 
1.4%
치 592
 
1.3%
Other values (776) 30943
68.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30188
67.0%
Other Punctuation 4614
 
10.2%
Decimal Number 2882
 
6.4%
Close Punctuation 1966
 
4.4%
Open Punctuation 1964
 
4.4%
Space Separator 1727
 
3.8%
Lowercase Letter 1035
 
2.3%
Uppercase Letter 493
 
1.1%
Math Symbol 191
 
0.4%
Dash Punctuation 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 673
 
2.2%
리 620
 
2.1%
치 592
 
2.0%
기 514
 
1.7%
수 493
 
1.6%
인 492
 
1.6%
국 467
 
1.5%
탕 459
 
1.5%
대 454
 
1.5%
밥 448
 
1.5%
Other values (701) 24976
82.7%
Uppercase Letter
ValueCountFrequency (%)
L 82
16.6%
E 66
13.4%
I 66
13.4%
C 58
11.8%
B 31
 
6.3%
A 30
 
6.1%
O 19
 
3.9%
R 18
 
3.7%
T 18
 
3.7%
N 16
 
3.2%
Other values (15) 89
18.1%
Lowercase Letter
ValueCountFrequency (%)
g 658
63.6%
e 50
 
4.8%
l 43
 
4.2%
k 39
 
3.8%
c 35
 
3.4%
t 27
 
2.6%
r 25
 
2.4%
m 24
 
2.3%
a 22
 
2.1%
p 17
 
1.6%
Other values (12) 95
 
9.2%
Decimal Number
ValueCountFrequency (%)
0 1068
37.1%
1 785
27.2%
2 332
 
11.5%
3 227
 
7.9%
5 210
 
7.3%
4 112
 
3.9%
6 60
 
2.1%
7 39
 
1.4%
8 37
 
1.3%
9 12
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 4087
88.6%
/ 450
 
9.8%
& 29
 
0.6%
: 17
 
0.4%
. 15
 
0.3%
% 10
 
0.2%
! 4
 
0.1%
' 1
 
< 0.1%
\ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 1963
99.8%
] 3
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 1961
99.8%
[ 3
 
0.2%
Math Symbol
ValueCountFrequency (%)
+ 121
63.4%
~ 70
36.6%
Space Separator
ValueCountFrequency (%)
1727
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29712
65.9%
Common 13361
29.6%
Latin 1528
 
3.4%
Han 476
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 673
 
2.3%
리 620
 
2.1%
치 592
 
2.0%
기 514
 
1.7%
수 493
 
1.7%
인 492
 
1.7%
국 467
 
1.6%
탕 459
 
1.5%
대 454
 
1.5%
밥 448
 
1.5%
Other values (692) 24500
82.5%
Latin
ValueCountFrequency (%)
g 658
43.1%
L 82
 
5.4%
E 66
 
4.3%
I 66
 
4.3%
C 58
 
3.8%
e 50
 
3.3%
l 43
 
2.8%
k 39
 
2.6%
c 35
 
2.3%
B 31
 
2.0%
Other values (37) 400
26.2%
Common
ValueCountFrequency (%)
, 4087
30.6%
) 1963
14.7%
( 1961
14.7%
1727
12.9%
0 1068
 
8.0%
1 785
 
5.9%
/ 450
 
3.4%
2 332
 
2.5%
3 227
 
1.7%
5 210
 
1.6%
Other values (18) 551
 
4.1%
Han
ValueCountFrequency (%)
大 371
77.9%
人 35
 
7.4%
中 33
 
6.9%
小 23
 
4.8%
特 6
 
1.3%
生 3
 
0.6%
辛 2
 
0.4%
月 2
 
0.4%
證 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29660
65.8%
ASCII 14889
33.0%
CJK 476
 
1.1%
Compat Jamo 52
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 4087
27.4%
) 1963
13.2%
( 1961
13.2%
1727
11.6%
0 1068
 
7.2%
1 785
 
5.3%
g 658
 
4.4%
/ 450
 
3.0%
2 332
 
2.2%
3 227
 
1.5%
Other values (65) 1631
 
11.0%
Hangul
ValueCountFrequency (%)
이 673
 
2.3%
리 620
 
2.1%
치 592
 
2.0%
기 514
 
1.7%
수 493
 
1.7%
인 492
 
1.7%
국 467
 
1.6%
탕 459
 
1.5%
대 454
 
1.5%
밥 448
 
1.5%
Other values (676) 24448
82.4%
CJK
ValueCountFrequency (%)
大 371
77.9%
人 35
 
7.4%
中 33
 
6.9%
小 23
 
4.8%
特 6
 
1.3%
生 3
 
0.6%
辛 2
 
0.4%
月 2
 
0.4%
證 1
 
0.2%
Compat Jamo
ValueCountFrequency (%)
ㅤ 18
34.6%
ㄸ 6
 
11.5%
ㅇ 5
 
9.6%
ㅒ 4
 
7.7%
ㄲ 3
 
5.8%
ㅖ 3
 
5.8%
ㅓ 2
 
3.8%
ㅣ 2
 
3.8%
ㅋ 2
 
3.8%
ㅗ 1
 
1.9%
Other values (6) 6
 
11.5%

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

2023-12-12T09:37:31.584782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:37:31.682445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
normal 10000
100.0%

해시태그
Categorical

IMBALANCE 

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9694 
안심식당
 
155
트립어드바이저
 
51
모범음식점
 
38
모범음식점,안심식당
 
29
Other values (10)
 
33

Length

Max length23
Median length4
Mean length4.0533
Min length4

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9694
96.9%
안심식당 155
 
1.6%
트립어드바이저 51
 
0.5%
모범음식점 38
 
0.4%
모범음식점,안심식당 29
 
0.3%
블루리본 10
 
0.1%
어린이 우수판매업소 9
 
0.1%
블루리본,안심식당 3
 
< 0.1%
모범음식점,안심식당,포장가능 3
 
< 0.1%
모범음식점,포장가능 2
 
< 0.1%
Other values (5) 6
 
0.1%

Length

2023-12-12T09:37:31.789345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9694
96.9%
안심식당 155
 
1.5%
트립어드바이저 51
 
0.5%
모범음식점 38
 
0.4%
모범음식점,안심식당 29
 
0.3%
블루리본 10
 
0.1%
어린이 9
 
0.1%
우수판매업소 9
 
0.1%
블루리본,안심식당 3
 
< 0.1%
모범음식점,안심식당,포장가능 3
 
< 0.1%
Other values (6) 8
 
0.1%

면적정보내용
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)100.0%
Missing9950
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean71.2656
Minimum10.08
Maximum246
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T09:37:31.908325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10.08
5-th percentile19.89
Q140.3725
median59.8
Q394.36
95-th percentile153.9585
Maximum246
Range235.92
Interquartile range (IQR)53.9875

Descriptive statistics

Standard deviation44.971135
Coefficient of variation (CV)0.63103565
Kurtosis3.7535089
Mean71.2656
Median Absolute Deviation (MAD)21.725
Skewness1.6236952
Sum3563.28
Variance2022.4029
MonotonicityNot monotonic
2023-12-12T09:37:32.040196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 1
 
< 0.1%
246.0 1
 
< 0.1%
48.65 1
 
< 0.1%
26.81 1
 
< 0.1%
72.24 1
 
< 0.1%
138.67 1
 
< 0.1%
43.93 1
 
< 0.1%
59.4 1
 
< 0.1%
16.5 1
 
< 0.1%
59.2 1
 
< 0.1%
Other values (40) 40
 
0.4%
(Missing) 9950
99.5%
ValueCountFrequency (%)
10.08 1
< 0.1%
16.5 1
< 0.1%
19.8 1
< 0.1%
20.0 1
< 0.1%
26.81 1
< 0.1%
28.0 1
< 0.1%
32.0 1
< 0.1%
36.05 1
< 0.1%
36.8 1
< 0.1%
38.4 1
< 0.1%
ValueCountFrequency (%)
246.0 1
< 0.1%
173.91 1
< 0.1%
162.18 1
< 0.1%
143.91 1
< 0.1%
138.67 1
< 0.1%
123.34 1
< 0.1%
106.53 1
< 0.1%
106.0 1
< 0.1%
105.0 1
< 0.1%
99.2 1
< 0.1%

Sample

식당(ID)식당명지점명지역명주차가능여부와이파이제공여부놀이방유무다국어메뉴판제공여부화장실정보내용휴무일정보내용영업시간내용배달서비스유무온라인예약정보내용홈페이지(URL)인근랜드마크명인근랜드마크위도인근랜드마크경도인근랜드마크와거리스마트오더유무대표메뉴명식당상태해시태그면적정보내용
4394140778동원초장<NA>남구NNNYN<NA>매일 11:30~22:30N<NA><NA>울산 농수산물도매시장35.538753129.342806156.0299N매운탕 1냄비,소주/맥주,초장 1인,회 비빔용 야채NORMAL<NA><NA>
14667921257한솔냉면<NA>동구NNNNN<NA><NA>N<NA><NA>한마음회관35.518786129.427144214.41425N<NA>NORMAL<NA><NA>
3940139598더블핸스테이크울산대왕암공원점동구YYNNY<NA>매일 10:00~22:00Y<NA>http://naver.me/GureLO일산해수욕장(울산)35.494928129.430254.51432N<NA>NORMAL<NA><NA>
1167132239치킨나라방어동점동구NNNNN<NA>매일 14:00~00:00N레드테이블,네이버<NA>방어진 활어센터35.483601129.424219478.83565Y<NA>NORMAL<NA><NA>
723131277사계절 고기한판<NA>동구NNNNN<NA><NA>N<NA><NA>전하황금시장35.513839129.424043376.29003N<NA>NORMAL<NA><NA>
8375149735고연공단식당<NA>울주군NNNNN<NA><NA>N<NA><NA><NA><NA><NA><NA>N<NA>NORMAL<NA><NA>
11343156182다과맨션<NA>중구NNNNN<NA><NA>N<NA><NA>학산서원35.55408129.295521399.66753N<NA>NORMAL<NA><NA>
6439145707신선 참숯 뒷고기<NA>남구NNNNN월요일매일 17:00~23:00N<NA><NA>한우수암야시장35.526988129.320754300.51256N<NA>NORMAL<NA><NA>
16236929034닥엔돈스울산무거점<NA>남구NNNNN<NA><NA>N<NA><NA>현대시장35.551842129.257725445.59143N<NA>NORMAL<NA><NA>
5679144345솔밭가든<NA>울주군NNNNN<NA><NA>N<NA><NA><NA><NA><NA><NA>N<NA>NORMAL<NA><NA>
식당(ID)식당명지점명지역명주차가능여부와이파이제공여부놀이방유무다국어메뉴판제공여부화장실정보내용휴무일정보내용영업시간내용배달서비스유무온라인예약정보내용홈페이지(URL)인근랜드마크명인근랜드마크위도인근랜드마크경도인근랜드마크와거리스마트오더유무대표메뉴명식당상태해시태그면적정보내용
2197135087석원족발전하점동구NNNNN<NA>매일 16:00~00:00Y<NA><NA>동울산종합시장35.508974129.425443479.03378N<NA>NORMAL<NA><NA>
5645144292강남곰장어<NA>중구NNNNN<NA><NA>N<NA><NA>고복수음악관35.556355129.31978639.18785N<NA>NORMAL<NA><NA>
9637152643공차울산달동점남구NNNNN<NA>매일 07:00~23:00Y<NA><NA><NA><NA><NA><NA>N<NA>NORMAL<NA><NA>
12329159809회뜨는 삼촌<NA>울주군NNNNN<NA><NA>N<NA><NA>덕신소공원35.433471129.311084430.52915N<NA>NORMAL<NA><NA>
2717136330가마솥왕만두<NA>남구NNNYN<NA><NA>N<NA><NA>울산 신화마을35.523517129.34134369.45715N김치만두국,스페셜떡볶이,왕만두NORMAL<NA><NA>
11319156132아시아분식식당<NA>울주군NNNNN<NA><NA>N<NA><NA><NA><NA><NA><NA>N<NA>NORMAL<NA><NA>
8731150544모범포차<NA>중구NNNNN<NA>매일 18:00~03:00N<NA>http://intagram.com/mopo_2태화루35.553399129.30767670.21904N<NA>NORMAL<NA><NA>
12566911447주환가든<NA>울주군NNNNN<NA><NA>N네이버, LIVE DB<NA>번개맨 체험관35.556495129.068011412.11464N<NA>NORMAL<NA><NA>
5802144572류가네 달동돼지국밥<NA>남구NNNNN<NA><NA>N<NA><NA><NA><NA><NA><NA>N<NA>NORMAL<NA><NA>
5869144685못<NA>북구NNNNN월요일매일 11:00~22:00N레드테이블,네이버<NA><NA><NA><NA><NA>Y더블샷 코코넛,바닐라빈 초코칩 쉐이크,쑥떡쑥떡 쉐이크,초코 멜로우NORMAL<NA><NA>