Overview

Dataset statistics

Number of variables10
Number of observations500
Missing cells213
Missing cells (%)4.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory40.7 KiB
Average record size in memory83.3 B

Variable types

Numeric3
Text4
Categorical3

Alerts

CRNCY_CD has constant value ""Constant
COUNTRY_NM has constant value ""Constant
CTY_NM has constant value ""Constant
MENU_ID is highly overall correlated with RSTRNT_IDHigh correlation
RSTRNT_ID is highly overall correlated with MENU_IDHigh correlation
MENU_VLANG_DC has 71 (14.2%) missing valuesMissing
MENU_ENGL_DC has 71 (14.2%) missing valuesMissing
MENU_KLANG_DC has 71 (14.2%) missing valuesMissing
MENU_ID has unique valuesUnique

Reproduction

Analysis started2023-12-10 09:49:18.548455
Analysis finished2023-12-10 09:49:22.751440
Duration4.2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

MENU_ID
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct500
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102453.21
Minimum10
Maximum105597
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T18:49:22.902449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile100458.95
Q1100943.75
median102743.5
Q3104474.25
95-th percentile105569.05
Maximum105597
Range105587
Interquartile range (IQR)3530.5

Descriptive statistics

Standard deviation4887.3608
Coefficient of variation (CV)0.047703344
Kurtosis388.53018
Mean102453.21
Median Absolute Deviation (MAD)1765.5
Skewness-18.505929
Sum51226606
Variance23886296
MonotonicityStrictly increasing
2023-12-10T18:49:23.299689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 1
 
0.2%
103361 1
 
0.2%
104424 1
 
0.2%
104423 1
 
0.2%
104422 1
 
0.2%
104421 1
 
0.2%
104420 1
 
0.2%
104419 1
 
0.2%
104418 1
 
0.2%
103367 1
 
0.2%
Other values (490) 490
98.0%
ValueCountFrequency (%)
10 1
0.2%
100435 1
0.2%
100436 1
0.2%
100437 1
0.2%
100438 1
0.2%
100439 1
0.2%
100440 1
0.2%
100441 1
0.2%
100442 1
0.2%
100443 1
0.2%
ValueCountFrequency (%)
105597 1
0.2%
105596 1
0.2%
105595 1
0.2%
105594 1
0.2%
105593 1
0.2%
105592 1
0.2%
105591 1
0.2%
105590 1
0.2%
105589 1
0.2%
105588 1
0.2%

MENU_VLANG_NM
Text

Distinct479
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-10T18:49:24.057928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length43
Mean length17.306
Min length3

Characters and Unicode

Total characters8653
Distinct characters128
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique460 ?
Unique (%)92.0%

Sample

1st rowCOMBO 5: Xôi đặc biệt 4 món + Nước cam vắt
2nd rowKem bơ
3rd rowKem sầu riêng
4th rowKem mãng cầu
5th rowKem xoài
ValueCountFrequency (%)
bánh 95
 
4.6%
83
 
4.0%
cá 45
 
2.2%
nước 43
 
2.1%
mì 33
 
1.6%
sushi 33
 
1.6%
1 30
 
1.4%
lớn 30
 
1.4%
sữa 29
 
1.4%
cuộn 27
 
1.3%
Other values (421) 1637
78.5%
2023-12-10T18:49:25.073040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1589
18.4%
h 573
 
6.6%
n 533
 
6.2%
a 392
 
4.5%
c 369
 
4.3%
i 353
 
4.1%
t 325
 
3.8%
u 281
 
3.2%
m 269
 
3.1%
á 199
 
2.3%
Other values (118) 3770
43.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5958
68.9%
Space Separator 1589
 
18.4%
Uppercase Letter 736
 
8.5%
Decimal Number 122
 
1.4%
Open Punctuation 62
 
0.7%
Close Punctuation 62
 
0.7%
Other Punctuation 44
 
0.5%
Dash Punctuation 33
 
0.4%
Math Symbol 31
 
0.4%
Nonspacing Mark 16
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
h 573
 
9.6%
n 533
 
8.9%
a 392
 
6.6%
c 369
 
6.2%
i 353
 
5.9%
t 325
 
5.5%
u 281
 
4.7%
m 269
 
4.5%
á 199
 
3.3%
g 171
 
2.9%
Other values (67) 2493
41.8%
Uppercase Letter
ValueCountFrequency (%)
B 133
18.1%
C 129
17.5%
S 117
15.9%
T 56
7.6%
N 50
 
6.8%
M 42
 
5.7%
L 40
 
5.4%
P 25
 
3.4%
G 24
 
3.3%
K 17
 
2.3%
Other values (17) 103
14.0%
Decimal Number
ValueCountFrequency (%)
1 43
35.2%
2 22
18.0%
3 17
 
13.9%
0 10
 
8.2%
5 9
 
7.4%
4 8
 
6.6%
6 5
 
4.1%
7 5
 
4.1%
9 2
 
1.6%
8 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 15
34.1%
: 13
29.5%
, 13
29.5%
/ 2
 
4.5%
& 1
 
2.3%
Nonspacing Mark
ValueCountFrequency (%)
́ 7
43.8%
̉ 4
25.0%
̣ 4
25.0%
̀ 1
 
6.2%
Space Separator
ValueCountFrequency (%)
1589
100.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Math Symbol
ValueCountFrequency (%)
+ 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6694
77.4%
Common 1943
 
22.5%
Inherited 16
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
h 573
 
8.6%
n 533
 
8.0%
a 392
 
5.9%
c 369
 
5.5%
i 353
 
5.3%
t 325
 
4.9%
u 281
 
4.2%
m 269
 
4.0%
á 199
 
3.0%
g 171
 
2.6%
Other values (94) 3229
48.2%
Common
ValueCountFrequency (%)
1589
81.8%
( 62
 
3.2%
) 62
 
3.2%
1 43
 
2.2%
- 33
 
1.7%
+ 31
 
1.6%
2 22
 
1.1%
3 17
 
0.9%
. 15
 
0.8%
: 13
 
0.7%
Other values (10) 56
 
2.9%
Inherited
ValueCountFrequency (%)
́ 7
43.8%
̉ 4
25.0%
̣ 4
25.0%
̀ 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7107
82.1%
None 878
 
10.1%
Latin Ext Additional 652
 
7.5%
Diacriticals 16
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1589
22.4%
h 573
 
8.1%
n 533
 
7.5%
a 392
 
5.5%
c 369
 
5.2%
i 353
 
5.0%
t 325
 
4.6%
u 281
 
4.0%
m 269
 
3.8%
g 171
 
2.4%
Other values (57) 2252
31.7%
None
ValueCountFrequency (%)
á 199
22.7%
à 131
14.9%
ư 87
9.9%
ô 71
 
8.1%
ê 49
 
5.6%
đ 46
 
5.2%
ơ 44
 
5.0%
ì 41
 
4.7%
â 40
 
4.6%
í 36
 
4.1%
Other values (14) 134
15.3%
Latin Ext Additional
ValueCountFrequency (%)
ớ 88
13.5%
ố 59
 
9.0%
ộ 45
 
6.9%
ậ 45
 
6.9%
ả 39
 
6.0%
ị 39
 
6.0%
ứ 33
 
5.1%
ồ 32
 
4.9%
ấ 31
 
4.8%
ữ 30
 
4.6%
Other values (23) 211
32.4%
Diacriticals
ValueCountFrequency (%)
́ 7
43.8%
̉ 4
25.0%
̣ 4
25.0%
̀ 1
 
6.2%

MENU_VLANG_DC
Text

MISSING 

Distinct298
Distinct (%)69.5%
Missing71
Missing (%)14.2%
Memory size4.0 KiB
2023-12-10T18:49:25.653155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length162
Median length105
Mean length46.002331
Min length8

Characters and Unicode

Total characters19735
Distinct characters72
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique231 ?
Unique (%)53.8%

Sample

1st rowcam, đường, muối, nước, trộn, xôi
2nd rowbơ, đường, muối, nướng, trộn
3rd rowsầu riêng, đường, sữa tươi, trộn
4th rowđường, xoài, trộn
5th rowđường, muối, xôi nếp, chiên, trộn, xôi
ValueCountFrequency (%)
đường 357
 
9.4%
trộn 319
 
8.4%
muối 227
 
6.0%
dầu 153
 
4.0%
ăn 152
 
4.0%
nước 150
 
4.0%
bánh 100
 
2.6%
canh 96
 
2.5%
xào 90
 
2.4%
tiêu 88
 
2.3%
Other values (228) 2056
54.3%
2023-12-10T18:49:26.497454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3359
17.0%
, 2518
 
12.8%
n 1873
 
9.5%
t 912
 
4.6%
g 789
 
4.0%
u 773
 
3.9%
h 712
 
3.6%
m 681
 
3.5%
c 642
 
3.3%
i 628
 
3.2%
Other values (62) 6848
34.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 13858
70.2%
Space Separator 3359
 
17.0%
Other Punctuation 2518
 
12.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 1873
 
13.5%
t 912
 
6.6%
g 789
 
5.7%
u 773
 
5.6%
h 712
 
5.1%
m 681
 
4.9%
c 642
 
4.6%
i 628
 
4.5%
ư 626
 
4.5%
r 499
 
3.6%
Other values (60) 5723
41.3%
Space Separator
ValueCountFrequency (%)
3359
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2518
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13858
70.2%
Common 5877
29.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 1873
 
13.5%
t 912
 
6.6%
g 789
 
5.7%
u 773
 
5.6%
h 712
 
5.1%
m 681
 
4.9%
c 642
 
4.6%
i 628
 
4.5%
ư 626
 
4.5%
r 499
 
3.6%
Other values (60) 5723
41.3%
Common
ValueCountFrequency (%)
3359
57.2%
, 2518
42.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15347
77.8%
None 2310
 
11.7%
Latin Ext Additional 2078
 
10.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3359
21.9%
, 2518
16.4%
n 1873
12.2%
t 912
 
5.9%
g 789
 
5.1%
u 773
 
5.0%
h 712
 
4.6%
m 681
 
4.4%
c 642
 
4.2%
i 628
 
4.1%
Other values (15) 2460
16.0%
None
ValueCountFrequency (%)
ư 626
27.1%
đ 435
18.8%
à 250
 
10.8%
á 223
 
9.7%
ê 174
 
7.5%
ă 163
 
7.1%
ơ 103
 
4.5%
â 98
 
4.2%
ô 77
 
3.3%
í 50
 
2.2%
Other values (8) 111
 
4.8%
Latin Ext Additional
ValueCountFrequency (%)
ộ 434
20.9%
ờ 357
17.2%
ố 264
12.7%
ớ 246
11.8%
ầ 164
 
7.9%
ấ 103
 
5.0%
ắ 89
 
4.3%
ạ 51
 
2.5%
ả 47
 
2.3%
ứ 47
 
2.3%
Other values (19) 276
13.3%

MENU_ENGL_DC
Text

MISSING 

Distinct298
Distinct (%)69.5%
Missing71
Missing (%)14.2%
Memory size4.0 KiB
2023-12-10T18:49:27.089677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length214
Median length118
Mean length54.405594
Min length7

Characters and Unicode

Total characters23340
Distinct characters29
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique231 ?
Unique (%)53.8%

Sample

1st roworange, sugar, salt, water, mix, sticky rice
2nd rowbutter, sugar, salt, grilled, mix
3rd rowdurian, sugar, milk, mix
4th rowsugar, mango, mix
5th rowsugar, salt, sticky rice, fried, mix, sticky rice
ValueCountFrequency (%)
sugar 360
 
10.3%
mix 319
 
9.2%
salt 220
 
6.3%
cooking 152
 
4.4%
oil 152
 
4.4%
soup 90
 
2.6%
stir-fry 90
 
2.6%
pepper 88
 
2.5%
sauce 88
 
2.5%
fish 75
 
2.2%
Other values (219) 1845
53.0%
2023-12-10T18:49:28.062429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3050
13.1%
, 2518
 
10.8%
i 1671
 
7.2%
e 1633
 
7.0%
s 1607
 
6.9%
r 1535
 
6.6%
a 1508
 
6.5%
o 1073
 
4.6%
l 992
 
4.3%
g 912
 
3.9%
Other values (19) 6841
29.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 17682
75.8%
Space Separator 3050
 
13.1%
Other Punctuation 2518
 
10.8%
Dash Punctuation 90
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 1671
 
9.5%
e 1633
 
9.2%
s 1607
 
9.1%
r 1535
 
8.7%
a 1508
 
8.5%
o 1073
 
6.1%
l 992
 
5.6%
g 912
 
5.2%
t 911
 
5.2%
c 826
 
4.7%
Other values (16) 5014
28.4%
Space Separator
ValueCountFrequency (%)
3050
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2518
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 90
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 17682
75.8%
Common 5658
 
24.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 1671
 
9.5%
e 1633
 
9.2%
s 1607
 
9.1%
r 1535
 
8.7%
a 1508
 
8.5%
o 1073
 
6.1%
l 992
 
5.6%
g 912
 
5.2%
t 911
 
5.2%
c 826
 
4.7%
Other values (16) 5014
28.4%
Common
ValueCountFrequency (%)
3050
53.9%
, 2518
44.5%
- 90
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23340
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3050
13.1%
, 2518
 
10.8%
i 1671
 
7.2%
e 1633
 
7.0%
s 1607
 
6.9%
r 1535
 
6.6%
a 1508
 
6.5%
o 1073
 
4.6%
l 992
 
4.3%
g 912
 
3.9%
Other values (19) 6841
29.3%

MENU_KLANG_DC
Text

MISSING 

Distinct295
Distinct (%)68.8%
Missing71
Missing (%)14.2%
Memory size4.0 KiB
2023-12-10T18:49:28.804162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length101
Median length60
Mean length26.522145
Min length2

Characters and Unicode

Total characters11378
Distinct characters241
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique228 ?
Unique (%)53.1%

Sample

1st row오렌지, 설탕, 소금, 물, 믹스, 찹쌀
2nd row버터, 설탕, 소금, 구운, 믹스
3rd row두리안, 설탕, 우유, 믹스
4th row설탕, 망고, 믹스
5th row설탕, 소금, 찹쌀, 튀김, 믹스, 찹쌀
ValueCountFrequency (%)
설탕 357
 
11.8%
믹스 319
 
10.5%
소금 220
 
7.3%
식용유 152
 
5.0%
볶음 90
 
3.0%
수프 90
 
3.0%
후추 88
 
2.9%
물 74
 
2.4%
소스 73
 
2.4%
생선 71
 
2.3%
Other values (202) 1491
49.3%
2023-12-10T18:49:29.762678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2596
22.8%
, 2338
20.5%
스 440
 
3.9%
탕 360
 
3.2%
설 357
 
3.1%
믹 319
 
2.8%
소 314
 
2.8%
금 228
 
2.0%
유 183
 
1.6%
식 154
 
1.4%
Other values (231) 4089
35.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6444
56.6%
Space Separator 2596
22.8%
Other Punctuation 2338
 
20.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 440
 
6.8%
탕 360
 
5.6%
설 357
 
5.5%
믹 319
 
5.0%
소 314
 
4.9%
금 228
 
3.5%
유 183
 
2.8%
식 154
 
2.4%
용 152
 
2.4%
수 115
 
1.8%
Other values (229) 3822
59.3%
Space Separator
ValueCountFrequency (%)
2596
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2338
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6444
56.6%
Common 4934
43.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 440
 
6.8%
탕 360
 
5.6%
설 357
 
5.5%
믹 319
 
5.0%
소 314
 
4.9%
금 228
 
3.5%
유 183
 
2.8%
식 154
 
2.4%
용 152
 
2.4%
수 115
 
1.8%
Other values (229) 3822
59.3%
Common
ValueCountFrequency (%)
2596
52.6%
, 2338
47.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6444
56.6%
ASCII 4934
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2596
52.6%
, 2338
47.4%
Hangul
ValueCountFrequency (%)
스 440
 
6.8%
탕 360
 
5.6%
설 357
 
5.5%
믹 319
 
5.0%
소 314
 
4.9%
금 228
 
3.5%
유 183
 
2.8%
식 154
 
2.4%
용 152
 
2.4%
수 115
 
1.8%
Other values (229) 3822
59.3%

MENU_PRC
Real number (ℝ)

Distinct117
Distinct (%)23.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50971.784
Minimum2000
Maximum346500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T18:49:30.025565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000
5-th percentile10000
Q115000
median29000
Q349000
95-th percentile189000
Maximum346500
Range344500
Interquartile range (IQR)34000

Descriptive statistics

Standard deviation61976.826
Coefficient of variation (CV)1.2159046
Kurtosis6.8380754
Mean50971.784
Median Absolute Deviation (MAD)14000
Skewness2.5586719
Sum25485892
Variance3.8411269 × 109
MonotonicityNot monotonic
2023-12-10T18:49:30.338396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42000 58
 
11.6%
10000 47
 
9.4%
20000 34
 
6.8%
15000 31
 
6.2%
12000 24
 
4.8%
22000 14
 
2.8%
25000 13
 
2.6%
24000 12
 
2.4%
35000 11
 
2.2%
29000 11
 
2.2%
Other values (107) 245
49.0%
ValueCountFrequency (%)
2000 1
 
0.2%
3000 3
 
0.6%
4000 6
 
1.2%
5000 5
 
1.0%
8000 4
 
0.8%
10000 47
9.4%
10500 1
 
0.2%
12000 24
4.8%
12500 1
 
0.2%
13000 4
 
0.8%
ValueCountFrequency (%)
346500 2
0.4%
345450 1
0.2%
330000 1
0.2%
320250 1
0.2%
304500 1
0.2%
300000 1
0.2%
294000 1
0.2%
290000 1
0.2%
276150 1
0.2%
261450 1
0.2%

CRNCY_CD
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
VND
500 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
VND 500
100.0%

Length

2023-12-10T18:49:30.697949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:49:30.877252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
vnd 500
100.0%

COUNTRY_NM
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
viet-nam
500 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowviet-nam
2nd rowviet-nam
3rd rowviet-nam
4th rowviet-nam
5th rowviet-nam

Common Values

ValueCountFrequency (%)
viet-nam 500
100.0%

Length

2023-12-10T18:49:31.139143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:49:31.347448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
viet-nam 500
100.0%

CTY_NM
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
da-nang
500 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowda-nang
2nd rowda-nang
3rd rowda-nang
4th rowda-nang
5th rowda-nang

Common Values

ValueCountFrequency (%)
da-nang 500
100.0%

Length

2023-12-10T18:49:31.590966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:49:31.802047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
da-nang 500
100.0%

RSTRNT_ID
Real number (ℝ)

HIGH CORRELATION 

Distinct27
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7317.854
Minimum2
Maximum7734
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T18:49:32.023554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7120
Q17156
median7335
Q37504
95-th percentile7726
Maximum7734
Range7732
Interquartile range (IQR)348

Descriptive statistics

Standard deviation374.44566
Coefficient of variation (CV)0.05116878
Kurtosis292.67236
Mean7317.854
Median Absolute Deviation (MAD)169
Skewness-14.911822
Sum3658927
Variance140209.56
MonotonicityIncreasing
2023-12-10T18:49:32.347925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
7504 66
13.2%
7152 60
12.0%
7335 57
11.4%
7120 52
10.4%
7194 35
 
7.0%
7490 32
 
6.4%
7726 25
 
5.0%
7352 24
 
4.8%
7165 19
 
3.8%
7511 17
 
3.4%
Other values (17) 113
22.6%
ValueCountFrequency (%)
2 1
 
0.2%
7120 52
10.4%
7143 11
 
2.2%
7152 60
12.0%
7156 10
 
2.0%
7157 7
 
1.4%
7165 19
 
3.8%
7194 35
7.0%
7202 4
 
0.8%
7212 2
 
0.4%
ValueCountFrequency (%)
7734 6
 
1.2%
7732 7
 
1.4%
7726 25
 
5.0%
7511 17
 
3.4%
7510 10
 
2.0%
7504 66
13.2%
7490 32
6.4%
7393 10
 
2.0%
7391 5
 
1.0%
7388 3
 
0.6%

Interactions

2023-12-10T18:49:21.237185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:49:19.391200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:49:20.089844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:49:21.616572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:49:19.613621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:49:20.312397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:49:21.858383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:49:19.821010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:49:21.009831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T18:49:32.587181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
MENU_IDMENU_PRCRSTRNT_ID
MENU_ID1.0000.0000.704
MENU_PRC0.0001.0000.000
RSTRNT_ID0.7040.0001.000
2023-12-10T18:49:32.758962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
MENU_IDMENU_PRCRSTRNT_ID
MENU_ID1.0000.0010.996
MENU_PRC0.0011.0000.007
RSTRNT_ID0.9960.0071.000

Missing values

2023-12-10T18:49:22.138277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T18:49:22.439852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-10T18:49:22.646437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

MENU_IDMENU_VLANG_NMMENU_VLANG_DCMENU_ENGL_DCMENU_KLANG_DCMENU_PRCCRNCY_CDCOUNTRY_NMCTY_NMRSTRNT_ID
010COMBO 5: Xôi đặc biệt 4 món + Nước cam vắtcam, đường, muối, nước, trộn, xôiorange, sugar, salt, water, mix, sticky rice오렌지, 설탕, 소금, 물, 믹스, 찹쌀55000VNDviet-namda-nang2
1100435Kem bơbơ, đường, muối, nướng, trộnbutter, sugar, salt, grilled, mix버터, 설탕, 소금, 구운, 믹스12000VNDviet-namda-nang7120
2100436Kem sầu riêngsầu riêng, đường, sữa tươi, trộndurian, sugar, milk, mix두리안, 설탕, 우유, 믹스12000VNDviet-namda-nang7120
3100437Kem mãng cầu<NA><NA><NA>12000VNDviet-namda-nang7120
4100438Kem xoàiđường, xoài, trộnsugar, mango, mix설탕, 망고, 믹스12000VNDviet-namda-nang7120
5100439Kem xôi nếp cẩmđường, muối, xôi nếp, chiên, trộn, xôisugar, salt, sticky rice, fried, mix, sticky rice설탕, 소금, 찹쌀, 튀김, 믹스, 찹쌀10000VNDviet-namda-nang7120
6100440Trà đàođào, đường, nước, trà, khuấypeach, sugar, water, tea, stirred복숭아, 설탕, 물, 차10000VNDviet-namda-nang7120
7100441Trà thái xanhđường, sữa đặc, sữa tươi, trà thái, trộn, khuấysugar, condensed milk, milk, thai tea, mix, stirred설탕, 연유, 우유, 타이 차, 믹스10000VNDviet-namda-nang7120
8100442Trà sữa thạch nhà làmsữa, đường, nước, trà, trộn, khuấymilk, sugar, water, tea, mix, stirred우유, 설탕, 물, 차, 믹스10000VNDviet-namda-nang7120
9100443Sinh tố<NA><NA><NA>12000VNDviet-namda-nang7120
MENU_IDMENU_VLANG_NMMENU_VLANG_DCMENU_ENGL_DCMENU_KLANG_DCMENU_PRCCRNCY_CDCOUNTRY_NMCTY_NMRSTRNT_ID
490105588Bún chả cá<NA><NA><NA>20000VNDviet-namda-nang7732
491105589Bún chả cá đặc biệt<NA><NA><NA>25000VNDviet-namda-nang7732
492105590Bún riêubún, dầu ăn, đườngrice vermicelli, cooking oil, sugar쌀국수, 식용유, 설탕20000VNDviet-namda-nang7732
493105591Bún mắm<NA><NA><NA>20000VNDviet-namda-nang7732
494105592Bún mắm bê thuibê thui, nước mắm, bún, dầu ăn, đường, ớt, xào, trộn, rangcalf, fish sauce, rice vermicelli, cooking oil, sugar, chili, stir-fry, mix, fried송아지, 생선 소스, 쌀국수, 식용유, 설탕, 칠리, 볶음, 믹스, 튀김25000VNDviet-namda-nang7734
495105593Bún mắm thập cẩmbún, dầu ăn, đườngrice vermicelli, cooking oil, sugar쌀국수, 식용유, 설탕20000VNDviet-namda-nang7734
496105594Bún mắm tai muibún, dầu ăn, đườngrice vermicelli, cooking oil, sugar쌀국수, 식용유, 설탕15000VNDviet-namda-nang7734
497105595Bánh canh cá lócbánh canh, nước mắm, bột gạo, bột ngọt, cá lóc, hành tím, hành lá, dầu ăn, đường, hạt nêm, muối, canh, tiêu, hấp, luộc, trộnbanh canh, fish sauce, rice flour, msg, snakehead, shallot, scallion, cooking oil, sugar, seasoning, salt, soup, pepper, steaming, boiled, mix반 칸, 생선 소스, 쌀가루, 조미료, 가물치, 적양파, 파, 식용유, 설탕, 양념, 소금, 수프, 후추, 찜, 삶은 것, 믹스23000VNDviet-namda-nang7734
498105596Chảbột, bột ngọt, chả, gà, cua, đường, muối, canh, luộc, trộnflour, msg, rolls, chicken, crab, sugar, salt, soup, boiled, mix밀가루, 조미료, 롤, 치킨, 게, 설탕, 소금, 수프, 삶은 것, 믹스4000VNDviet-namda-nang7734
499105597Bánh canh đùi vịtbánh canh, nước mắm, bột ngọt, tỏi, hành tím, hành lá, gừng, đùi vịt, đường, hạt nêm, muối, canh, rượu trắng, tiêu, nước tương, luộcbanh canh, fish sauce, msg, garlic, shallot, scallion, ginger, duck thigh, sugar, seasoning, salt, soup, white wine, pepper, soy sauce, boiled반 칸, 생선 소스, 조미료, 마늘, 적양파, 파, 생강, 오리다리, 설탕, 양념, 소금, 수프, 백포도주, 후추, 간장, 삶은 것30000VNDviet-namda-nang7734