Overview

Dataset statistics

Number of variables9
Number of observations40
Missing cells17
Missing cells (%)4.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory79.3 B

Variable types

Numeric4
Categorical2
Text3

Alerts

COUNTRY_NM has constant value ""Constant
CTY_NM has constant value ""Constant
RSTRNT_TEL_NO has 12 (30.0%) missing valuesMissing
RSTRNT_IMAGE_URL has 5 (12.5%) missing valuesMissing
RSTRNT_ID has unique valuesUnique
RSTRNT_NM has unique valuesUnique
RSTRNT_ADDR has unique valuesUnique
RSTRNT_LO has unique valuesUnique

Reproduction

Analysis started2023-12-10 10:01:54.103869
Analysis finished2023-12-10 10:01:58.546711
Duration4.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

RSTRNT_ID
Real number (ℝ)

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5344.75
Minimum1012
Maximum12209
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-10T19:01:58.676218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1012
5-th percentile1014.9
Q11076.75
median1166.5
Q312063.25
95-th percentile12186.15
Maximum12209
Range11197
Interquartile range (IQR)10986.5

Descriptive statistics

Standard deviation5279.1226
Coefficient of variation (CV)0.98772114
Kurtosis-1.8797181
Mean5344.75
Median Absolute Deviation (MAD)148.5
Skewness0.44094119
Sum213790
Variance27869135
MonotonicityNot monotonic
2023-12-10T19:01:58.987991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1012 1
 
2.5%
1161 1
 
2.5%
1164 1
 
2.5%
1166 1
 
2.5%
1167 1
 
2.5%
1194 1
 
2.5%
1196 1
 
2.5%
1202 1
 
2.5%
12063 1
 
2.5%
12064 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
1012 1
2.5%
1013 1
2.5%
1015 1
2.5%
1016 1
2.5%
1020 1
2.5%
1036 1
2.5%
1037 1
2.5%
1042 1
2.5%
1053 1
2.5%
1076 1
2.5%
ValueCountFrequency (%)
12209 1
2.5%
12208 1
2.5%
12185 1
2.5%
12153 1
2.5%
12150 1
2.5%
12073 1
2.5%
12072 1
2.5%
12067 1
2.5%
12065 1
2.5%
12064 1
2.5%

COUNTRY_NM
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
viet-nam
40 

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 40
100.0%

Length

2023-12-10T19:01:59.273463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:01:59.450116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
viet-nam 40
100.0%

CTY_NM
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
da-nang
40 

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 40
100.0%

Length

2023-12-10T19:01:59.630231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:01:59.814202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
da-nang 40
100.0%

RSTRNT_NM
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-10T19:02:00.303123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length31
Mean length25.7
Min length9

Characters and Unicode

Total characters1028
Distinct characters92
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)100.0%

Sample

1st rowDimsum Bà Thím - Phan Châu Trinh
2nd rowTiệm Ăn Chợ Lớn - Hùng Vương
3rd rowTiệm Ăn Chợ Lớn - Trưng Nữ Vương
4th rowYi He Tang - Chi Lăng
5th rowQuán Ăn Dimsum - Ngô Gia Tự
ValueCountFrequency (%)
41
 
16.1%
cơm 10
 
3.9%
phan 5
 
2.0%
bún 5
 
2.0%
bánh 4
 
1.6%
pizza 4
 
1.6%
mì 4
 
1.6%
quán 4
 
1.6%
hà 4
 
1.6%
ăn 4
 
1.6%
Other values (125) 169
66.5%
2023-12-10T19:02:01.352469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
214
20.8%
n 77
 
7.5%
h 52
 
5.1%
i 45
 
4.4%
a 39
 
3.8%
C 36
 
3.5%
T 36
 
3.5%
- 34
 
3.3%
u 29
 
2.8%
m 27
 
2.6%
Other values (82) 439
42.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 546
53.1%
Space Separator 214
 
20.8%
Uppercase Letter 212
 
20.6%
Dash Punctuation 34
 
3.3%
Decimal Number 14
 
1.4%
Other Punctuation 7
 
0.7%
Nonspacing Mark 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 77
 
14.1%
h 52
 
9.5%
i 45
 
8.2%
a 39
 
7.1%
u 29
 
5.3%
m 27
 
4.9%
g 26
 
4.8%
ơ 18
 
3.3%
o 17
 
3.1%
e 17
 
3.1%
Other values (47) 199
36.4%
Uppercase Letter
ValueCountFrequency (%)
C 36
17.0%
T 36
17.0%
H 27
12.7%
B 16
 
7.5%
P 14
 
6.6%
L 10
 
4.7%
M 9
 
4.2%
N 8
 
3.8%
Q 6
 
2.8%
D 6
 
2.8%
Other values (14) 44
20.8%
Decimal Number
ValueCountFrequency (%)
3 4
28.6%
2 3
21.4%
7 2
14.3%
0 2
14.3%
4 1
 
7.1%
5 1
 
7.1%
1 1
 
7.1%
Space Separator
ValueCountFrequency (%)
214
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Other Punctuation
ValueCountFrequency (%)
& 7
100.0%
Nonspacing Mark
ValueCountFrequency (%)
̉ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 758
73.7%
Common 269
 
26.2%
Inherited 1
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 77
 
10.2%
h 52
 
6.9%
i 45
 
5.9%
a 39
 
5.1%
C 36
 
4.7%
T 36
 
4.7%
u 29
 
3.8%
m 27
 
3.6%
H 27
 
3.6%
g 26
 
3.4%
Other values (71) 364
48.0%
Common
ValueCountFrequency (%)
214
79.6%
- 34
 
12.6%
& 7
 
2.6%
3 4
 
1.5%
2 3
 
1.1%
7 2
 
0.7%
0 2
 
0.7%
4 1
 
0.4%
5 1
 
0.4%
1 1
 
0.4%
Inherited
ValueCountFrequency (%)
̉ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 882
85.8%
None 100
 
9.7%
Latin Ext Additional 45
 
4.4%
Diacriticals 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
214
24.3%
n 77
 
8.7%
h 52
 
5.9%
i 45
 
5.1%
a 39
 
4.4%
C 36
 
4.1%
T 36
 
4.1%
- 34
 
3.9%
u 29
 
3.3%
m 27
 
3.1%
Other values (44) 293
33.2%
None
ValueCountFrequency (%)
ơ 18
18.0%
à 16
16.0%
á 12
12.0%
ư 9
9.0%
â 8
8.0%
ú 7
 
7.0%
ê 5
 
5.0%
ì 4
 
4.0%
Ă 4
 
4.0%
ò 3
 
3.0%
Other values (7) 14
14.0%
Latin Ext Additional
ValueCountFrequency (%)
ế 6
13.3%
ố 5
11.1%
ộ 5
11.1%
ấ 4
 
8.9%
ị 3
 
6.7%
ệ 3
 
6.7%
ự 2
 
4.4%
ợ 2
 
4.4%
ữ 2
 
4.4%
ả 2
 
4.4%
Other values (10) 11
24.4%
Diacriticals
ValueCountFrequency (%)
̉ 1
100.0%

RSTRNT_ADDR
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-10T19:02:02.034518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length48
Mean length43.45
Min length34

Characters and Unicode

Total characters1738
Distinct characters78
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)100.0%

Sample

1st row280 Phan Châu Trinh, P. Bình Hiên, Quận Hải Châu, Đà Nẵng
2nd row29 Hùng Vương, Quận Hải Châu, Đà Nẵng
3rd row423 Trưng Nữ Vương, Quận Hải Châu, Đà Nẵng
4th row40 Chi Lăng, Quận Hải Châu, Đà Nẵng
5th row45A/1 Ngô Gia Tự, Quận Hải Châu, Đà Nẵng
ValueCountFrequency (%)
quận 40
 
10.5%
nẵng 40
 
10.5%
đà 40
 
10.5%
châu 28
 
7.3%
hải 25
 
6.5%
thanh 13
 
3.4%
khê 13
 
3.4%
phan 8
 
2.1%
p 7
 
1.8%
thị 6
 
1.6%
Other values (115) 162
42.4%
2023-12-10T19:02:03.139987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
342
19.7%
n 159
 
9.1%
h 115
 
6.6%
, 90
 
5.2%
u 82
 
4.7%
g 71
 
4.1%
i 54
 
3.1%
T 52
 
3.0%
à 51
 
2.9%
Đ 51
 
2.9%
Other values (68) 671
38.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 837
48.2%
Uppercase Letter 345
19.9%
Space Separator 342
19.7%
Decimal Number 111
 
6.4%
Other Punctuation 100
 
5.8%
Dash Punctuation 2
 
0.1%
Nonspacing Mark 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 159
19.0%
h 115
13.7%
u 82
9.8%
g 71
8.5%
i 54
 
6.5%
à 51
 
6.1%
ậ 41
 
4.9%
ẵ 40
 
4.8%
â 32
 
3.8%
a 32
 
3.8%
Other values (33) 160
19.1%
Uppercase Letter
ValueCountFrequency (%)
T 52
15.1%
Đ 51
14.8%
N 49
14.2%
Q 41
11.9%
H 41
11.9%
C 32
9.3%
K 18
 
5.2%
P 18
 
5.2%
L 9
 
2.6%
B 7
 
2.0%
Other values (9) 27
7.8%
Decimal Number
ValueCountFrequency (%)
1 22
19.8%
4 21
18.9%
3 16
14.4%
2 15
13.5%
0 10
9.0%
9 7
 
6.3%
5 6
 
5.4%
7 5
 
4.5%
6 5
 
4.5%
8 4
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 90
90.0%
. 7
 
7.0%
/ 3
 
3.0%
Space Separator
ValueCountFrequency (%)
342
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Nonspacing Mark
ValueCountFrequency (%)
̉ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1182
68.0%
Common 555
31.9%
Inherited 1
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 159
 
13.5%
h 115
 
9.7%
u 82
 
6.9%
g 71
 
6.0%
i 54
 
4.6%
T 52
 
4.4%
à 51
 
4.3%
Đ 51
 
4.3%
N 49
 
4.1%
ậ 41
 
3.5%
Other values (52) 457
38.7%
Common
ValueCountFrequency (%)
342
61.6%
, 90
 
16.2%
1 22
 
4.0%
4 21
 
3.8%
3 16
 
2.9%
2 15
 
2.7%
0 10
 
1.8%
9 7
 
1.3%
. 7
 
1.3%
5 6
 
1.1%
Other values (5) 19
 
3.4%
Inherited
ValueCountFrequency (%)
̉ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1390
80.0%
None 205
 
11.8%
Latin Ext Additional 142
 
8.2%
Diacriticals 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
342
24.6%
n 159
11.4%
h 115
 
8.3%
, 90
 
6.5%
u 82
 
5.9%
g 71
 
5.1%
i 54
 
3.9%
T 52
 
3.7%
N 49
 
3.5%
Q 41
 
2.9%
Other values (36) 335
24.1%
None
ValueCountFrequency (%)
à 51
24.9%
Đ 51
24.9%
â 32
15.6%
ê 19
 
9.3%
ơ 11
 
5.4%
ư 10
 
4.9%
á 7
 
3.4%
ô 6
 
2.9%
ă 4
 
2.0%
ò 4
 
2.0%
Other values (5) 10
 
4.9%
Latin Ext Additional
ValueCountFrequency (%)
ậ 41
28.9%
ẵ 40
28.2%
ả 25
17.6%
ị 6
 
4.2%
ệ 5
 
3.5%
ố 5
 
3.5%
ạ 4
 
2.8%
ầ 3
 
2.1%
ễ 3
 
2.1%
ữ 3
 
2.1%
Other values (6) 7
 
4.9%
Diacriticals
ValueCountFrequency (%)
̉ 1
100.0%

RSTRNT_TEL_NO
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)92.9%
Missing12
Missing (%)30.0%
Infinite0
Infinite (%)0.0%
Mean2.6602159 × 1011
Minimum8.4180081 × 109
Maximum8.42364 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-10T19:02:03.428172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.4180081 × 109
5-th percentile8.4180081 × 109
Q18.480981 × 1010
median8.4907808 × 1010
Q32.7413742 × 1011
95-th percentile8.4236393 × 1011
Maximum8.42364 × 1011
Range8.3394599 × 1011
Interquartile range (IQR)1.8932761 × 1011

Descriptive statistics

Standard deviation3.3961642 × 1011
Coefficient of variation (CV)1.2766499
Kurtosis-0.56694962
Mean2.6602159 × 1011
Median Absolute Deviation (MAD)1.0144928 × 108
Skewness1.2026356
Sum7.4486044 × 1012
Variance1.1533932 × 1023
MonotonicityNot monotonic
2023-12-10T19:02:03.765690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
8418008099 3
 
7.5%
842363991899 1
 
2.5%
84935865665 1
 
2.5%
84355653381 1
 
2.5%
84936635966 1
 
2.5%
842363996966 1
 
2.5%
841633415838 1
 
2.5%
842363519409 1
 
2.5%
84944775996 1
 
2.5%
84899503577 1
 
2.5%
Other values (16) 16
40.0%
(Missing) 12
30.0%
ValueCountFrequency (%)
8418008099 3
7.5%
84355653381 1
 
2.5%
84773488803 1
 
2.5%
84799441144 1
 
2.5%
84799456222 1
 
2.5%
84813261368 1
 
2.5%
84899503577 1
 
2.5%
84901829282 1
 
2.5%
84905103004 1
 
2.5%
84905607361 1
 
2.5%
ValueCountFrequency (%)
842363996966 1
2.5%
842363991899 1
2.5%
842363829240 1
2.5%
842363663979 1
2.5%
842363525363 1
2.5%
842363519409 1
2.5%
841633415838 1
2.5%
84972086215 1
2.5%
84944775996 1
2.5%
84936635966 1
2.5%

RSTRNT_LA
Real number (ℝ)

Distinct39
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.062478
Minimum16.033749
Maximum16.093315
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-10T19:02:04.186607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.033749
5-th percentile16.036246
Q116.058659
median16.064971
Q316.068316
95-th percentile16.075762
Maximum16.093315
Range0.059566
Interquartile range (IQR)0.0096565

Descriptive statistics

Standard deviation0.011913273
Coefficient of variation (CV)0.00074168341
Kurtosis1.5588985
Mean16.062478
Median Absolute Deviation (MAD)0.0056705
Skewness-0.62816369
Sum642.49911
Variance0.00014192608
MonotonicityNot monotonic
2023-12-10T19:02:04.509211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
16.067898 2
 
5.0%
16.058561 1
 
2.5%
16.036288 1
 
2.5%
16.074957 1
 
2.5%
16.035451 1
 
2.5%
16.066138 1
 
2.5%
16.061231 1
 
2.5%
16.079896 1
 
2.5%
16.061422 1
 
2.5%
16.066606 1
 
2.5%
Other values (29) 29
72.5%
ValueCountFrequency (%)
16.033749 1
2.5%
16.035451 1
2.5%
16.036288 1
2.5%
16.037646 1
2.5%
16.045753 1
2.5%
16.055578 1
2.5%
16.056191 1
2.5%
16.056408 1
2.5%
16.058249 1
2.5%
16.058561 1
2.5%
ValueCountFrequency (%)
16.093315 1
2.5%
16.079896 1
2.5%
16.075544 1
2.5%
16.074957 1
2.5%
16.073625 1
2.5%
16.070999 1
2.5%
16.070449 1
2.5%
16.069894 1
2.5%
16.068618 1
2.5%
16.068582 1
2.5%

RSTRNT_LO
Real number (ℝ)

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.21544
Minimum108.17482
Maximum108.24052
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-10T19:02:04.924014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum108.17482
5-th percentile108.19198
Q1108.2099
median108.21816
Q3108.22061
95-th percentile108.23444
Maximum108.24052
Range0.065698
Interquartile range (IQR)0.01070825

Descriptive statistics

Standard deviation0.013217697
Coefficient of variation (CV)0.00012214243
Kurtosis1.4777726
Mean108.21544
Median Absolute Deviation (MAD)0.0045025
Skewness-0.81902118
Sum4328.6178
Variance0.00017470752
MonotonicityNot monotonic
2023-12-10T19:02:05.258155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
108.21909 1
 
2.5%
108.216316 1
 
2.5%
108.220496 1
 
2.5%
108.233292 1
 
2.5%
108.220086 1
 
2.5%
108.221297 1
 
2.5%
108.218251 1
 
2.5%
108.220949 1
 
2.5%
108.210375 1
 
2.5%
108.194618 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
108.174823 1
2.5%
108.190553 1
2.5%
108.192057 1
2.5%
108.194207 1
2.5%
108.194618 1
2.5%
108.201282 1
2.5%
108.207236 1
2.5%
108.208184 1
2.5%
108.208738 1
2.5%
108.209121 1
2.5%
ValueCountFrequency (%)
108.240521 1
2.5%
108.234576 1
2.5%
108.234436 1
2.5%
108.234129 1
2.5%
108.233292 1
2.5%
108.231896 1
2.5%
108.22449 1
2.5%
108.222705 1
2.5%
108.221297 1
2.5%
108.220949 1
2.5%

RSTRNT_IMAGE_URL
Text

MISSING 

Distinct35
Distinct (%)100.0%
Missing5
Missing (%)12.5%
Memory size452.0 B
2023-12-10T19:02:05.732817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length62
Mean length62.457143
Min length62

Characters and Unicode

Total characters2186
Distinct characters35
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)100.0%

Sample

1st rowhttp://a.redtable.kr/cms/get_image.php?file=foody/1012_rst.jpg
2nd rowhttp://a.redtable.kr/cms/get_image.php?file=foody/1013_rst.jpg
3rd rowhttp://a.redtable.kr/cms/get_image.php?file=foody/1015_rst.jpg
4th rowhttp://a.redtable.kr/cms/get_image.php?file=foody/1016_rst.jpg
5th rowhttp://a.redtable.kr/cms/get_image.php?file=foody/1036_rst.jpg
ValueCountFrequency (%)
http://a.redtable.kr/cms/get_image.php?file=foody/1012_rst.jpg 1
 
2.9%
http://a.redtable.kr/cms/get_image.php?file=foody/12067_rst.jpg 1
 
2.9%
http://a.redtable.kr/cms/get_image.php?file=foody/12065_rst.jpeg 1
 
2.9%
http://a.redtable.kr/cms/get_image.php?file=foody/1167_rst.jpg 1
 
2.9%
http://a.redtable.kr/cms/get_image.php?file=foody/1194_rst.jpg 1
 
2.9%
http://a.redtable.kr/cms/get_image.php?file=foody/1196_rst.jpg 1
 
2.9%
http://a.redtable.kr/cms/get_image.php?file=foody/1202_rst.jpg 1
 
2.9%
http://a.redtable.kr/cms/get_image.php?file=foody/12063_rst.jpeg 1
 
2.9%
http://a.redtable.kr/cms/get_image.php?file=foody/12208_rst.jpg 1
 
2.9%
http://a.redtable.kr/cms/get_image.php?file=foody/1166_rst.jpg 1
 
2.9%
Other values (25) 25
71.4%
2023-12-10T19:02:06.459363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 177
 
8.1%
/ 175
 
8.0%
t 175
 
8.0%
p 140
 
6.4%
. 140
 
6.4%
a 105
 
4.8%
r 105
 
4.8%
g 105
 
4.8%
h 70
 
3.2%
m 70
 
3.2%
Other values (25) 924
42.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1542
70.5%
Other Punctuation 385
 
17.6%
Decimal Number 154
 
7.0%
Connector Punctuation 70
 
3.2%
Math Symbol 35
 
1.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 177
 
11.5%
t 175
 
11.3%
p 140
 
9.1%
a 105
 
6.8%
r 105
 
6.8%
g 105
 
6.8%
h 70
 
4.5%
m 70
 
4.5%
o 70
 
4.5%
f 70
 
4.5%
Other values (9) 455
29.5%
Decimal Number
ValueCountFrequency (%)
1 53
34.4%
0 26
16.9%
2 18
 
11.7%
6 17
 
11.0%
7 9
 
5.8%
5 7
 
4.5%
3 7
 
4.5%
9 7
 
4.5%
8 6
 
3.9%
4 4
 
2.6%
Other Punctuation
ValueCountFrequency (%)
/ 175
45.5%
. 140
36.4%
? 35
 
9.1%
: 35
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_ 70
100.0%
Math Symbol
ValueCountFrequency (%)
= 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1542
70.5%
Common 644
29.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 177
 
11.5%
t 175
 
11.3%
p 140
 
9.1%
a 105
 
6.8%
r 105
 
6.8%
g 105
 
6.8%
h 70
 
4.5%
m 70
 
4.5%
o 70
 
4.5%
f 70
 
4.5%
Other values (9) 455
29.5%
Common
ValueCountFrequency (%)
/ 175
27.2%
. 140
21.7%
_ 70
 
10.9%
1 53
 
8.2%
? 35
 
5.4%
= 35
 
5.4%
: 35
 
5.4%
0 26
 
4.0%
2 18
 
2.8%
6 17
 
2.6%
Other values (6) 40
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2186
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 177
 
8.1%
/ 175
 
8.0%
t 175
 
8.0%
p 140
 
6.4%
. 140
 
6.4%
a 105
 
4.8%
r 105
 
4.8%
g 105
 
4.8%
h 70
 
3.2%
m 70
 
3.2%
Other values (25) 924
42.3%

Interactions

2023-12-10T19:01:56.960404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:01:54.855664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:01:55.504262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:01:56.286080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:01:57.188711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:01:55.038569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:01:55.741246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:01:56.462049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:01:57.423636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:01:55.184915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:01:55.906647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:01:56.612235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:01:57.663200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:01:55.350269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:01:56.103717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:01:56.768880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T19:02:07.019565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
RSTRNT_IDRSTRNT_NMRSTRNT_ADDRRSTRNT_TEL_NORSTRNT_LARSTRNT_LORSTRNT_IMAGE_URL
RSTRNT_ID1.0001.0001.0000.1040.4110.9931.000
RSTRNT_NM1.0001.0001.0001.0001.0001.0001.000
RSTRNT_ADDR1.0001.0001.0001.0001.0001.0001.000
RSTRNT_TEL_NO0.1041.0001.0001.0000.3130.4791.000
RSTRNT_LA0.4111.0001.0000.3131.0000.2511.000
RSTRNT_LO0.9931.0001.0000.4790.2511.0001.000
RSTRNT_IMAGE_URL1.0001.0001.0001.0001.0001.0001.000
2023-12-10T19:02:07.221668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
RSTRNT_IDRSTRNT_TEL_NORSTRNT_LARSTRNT_LO
RSTRNT_ID1.000-0.0330.285-0.366
RSTRNT_TEL_NO-0.0331.0000.060-0.401
RSTRNT_LA0.2850.0601.000-0.208
RSTRNT_LO-0.366-0.401-0.2081.000

Missing values

2023-12-10T19:01:57.959258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T19:01:58.238073image/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.
2023-12-10T19:01:58.449907image/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

RSTRNT_IDCOUNTRY_NMCTY_NMRSTRNT_NMRSTRNT_ADDRRSTRNT_TEL_NORSTRNT_LARSTRNT_LORSTRNT_IMAGE_URL
01012viet-namda-nangDimsum Bà Thím - Phan Châu Trinh280 Phan Châu Trinh, P. Bình Hiên, Quận Hải Châu, Đà Nẵng<NA>16.058561108.21909http://a.redtable.kr/cms/get_image.php?file=foody/1012_rst.jpg
11013viet-namda-nangTiệm Ăn Chợ Lớn - Hùng Vương29 Hùng Vương, Quận Hải Châu, Đà Nẵng84236352536316.068582108.22449http://a.redtable.kr/cms/get_image.php?file=foody/1013_rst.jpg
21015viet-namda-nangTiệm Ăn Chợ Lớn - Trưng Nữ Vương423 Trưng Nữ Vương, Quận Hải Châu, Đà Nẵng84236366397916.045753108.210161http://a.redtable.kr/cms/get_image.php?file=foody/1015_rst.jpg
31016viet-namda-nangYi He Tang - Chi Lăng40 Chi Lăng, Quận Hải Châu, Đà Nẵng8479945622216.069894108.215182http://a.redtable.kr/cms/get_image.php?file=foody/1016_rst.jpg
41020viet-namda-nangQuán Ăn Dimsum - Ngô Gia Tự45A/1 Ngô Gia Tự, Quận Hải Châu, Đà Nẵng8490510300416.06818108.217434<NA>
51036viet-namda-nangCơm Hến - Bún Hến Thanh119 Huỳnh Thúc Kháng, Quận Hải Châu, Đà Nẵng<NA>16.058249108.218186http://a.redtable.kr/cms/get_image.php?file=foody/1036_rst.jpg
61037viet-namda-nangBà Thủy - Bún Bò Huế & Cơm Chiên157 Trưng Nữ Vương, Quận Hải Châu, Đà Nẵng<NA>16.056191108.220295http://a.redtable.kr/cms/get_image.php?file=foody/1037_rst.jpg
71042viet-namda-nangQuán Huế - Cơm - Bún & Mì Hến114 Huỳnh Thúc Kháng, Quận Hải Châu, Đà Nẵng8497208621516.059108108.218126http://a.redtable.kr/cms/get_image.php?file=foody/1042_rst.jpg
81053viet-namda-nangBún Hương - Bún Bò Huế229 Đống Đa, P. Thạch Thang, Quận Hải Châu, Đà Nẵng84236382924016.075544108.215396<NA>
910668viet-namda-nang2CE - Trà Sữa & Kem NitơK126/23 Nguyễn Duy Hiệu, Quận Sơn Trà, Đà Nẵng8477348880316.055578108.240521http://a.redtable.kr/cms/get_image.php?file=foody/10668_rst.jpg
RSTRNT_IDCOUNTRY_NMCTY_NMRSTRNT_NMRSTRNT_ADDRRSTRNT_TEL_NORSTRNT_LARSTRNT_LORSTRNT_IMAGE_URL
3012064viet-namda-nangBánh Cuốn Nóng 203203 Bế Văn Đàn, P. Hòa Khê, Quận Thanh Khê, Đà Nẵng84163341583816.065064108.194618http://a.redtable.kr/cms/get_image.php?file=foody/12064_rst.jpg
3112065viet-namda-nangBa Hưng Bakery - Lê Duẩn404 Lê Duẩn, P. Tân Chính, Quận Thanh Khê, Đà Nẵng84236399696616.067898108.208184http://a.redtable.kr/cms/get_image.php?file=foody/12065_rst.jpeg
3212067viet-namda-nangPhố Cổ Hà Nội - Hà Huy Tập145 Hà Huy Tập, P. Hòa Khê, Quận Thanh Khê, Đà Nẵng8493663596616.0656108.192057http://a.redtable.kr/cms/get_image.php?file=foody/12067_rst.jpg
3312072viet-namda-nangQuán Đào - Cơm Tấm & Cơm Gà & Cao Lầu94 Phan Thanh, P. Thạc Gián, Quận Thanh Khê, Đà Nẵng8435565338116.062855108.208738http://a.redtable.kr/cms/get_image.php?file=foody/12072_rst.jpg
3412073viet-namda-nangBánh Mì - Xôi Khải Hoàng124 Phan Thanh, Quận Thanh Khê, Đà Nẵng<NA>16.061568108.209121http://a.redtable.kr/cms/get_image.php?file=foody/12073_rst.jpg
3512150viet-namda-nangPaparoti Anh Hoàng04 Thái Thị Bôi, Quận Thanh Khê, Đà Nẵng<NA>16.068618108.201282http://a.redtable.kr/cms/get_image.php?file=foody/12150_rst.jpg
3612153viet-namda-nangTea Rex Milk Tea & Coffee353 Điện Biên Phủ, Quận Thanh Khê, Đà Nẵng8493586566516.065613108.190553http://a.redtable.kr/cms/get_image.php?file=foody/12153_rst.jpg
3712185viet-namda-nangRam Cuốn Cải H VânĐối Diện 341 Hải Phòng, Quận Thanh Khê, Đà Nẵng<NA>16.070449108.207236http://a.redtable.kr/cms/get_image.php?file=foody/12185_rst.jpg
3812208viet-namda-nangCơm Chiên 73 - Đệ Nhất Cơm Thố99 Lý Thái Tông, Quận Thanh Khê, Đà Nẵng<NA>16.073625108.174823http://a.redtable.kr/cms/get_image.php?file=foody/12208_rst.jpg
3912209viet-namda-nangCơm Gà An Di231/3F Thái Thị Bôi, Quận Thanh Khê, Đà Nẵng<NA>16.068227108.194207http://a.redtable.kr/cms/get_image.php?file=foody/12209_rst.jpg