Overview

Dataset statistics

Number of variables2
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory18.3 B

Variable types

Text1
Categorical1

Alerts

co has constant value ""Constant
gid_cd has unique valuesUnique

Reproduction

Analysis started2023-12-10 10:05:50.793069
Analysis finished2023-12-10 10:05:51.089366
Duration0.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

gid_cd
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:05:51.539914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters800
Distinct characters19
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st row다사49a29b
2nd row마라11b53a
3rd row라바77a87b
4th row라라85a51a
5th row다라47a83b
ValueCountFrequency (%)
다사49a29b 1
 
1.0%
마마54a64a 1
 
1.0%
마라42b76b 1
 
1.0%
다마33a00b 1
 
1.0%
다사58b18a 1
 
1.0%
다마63a69a 1
 
1.0%
다사34a69b 1
 
1.0%
다사60a46a 1
 
1.0%
다사51a50a 1
 
1.0%
마사46b38b 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T19:05:52.331664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
b 103
12.9%
a 97
12.1%
다 63
 
7.9%
5 56
 
7.0%
9 46
 
5.8%
6 45
 
5.6%
라 44
 
5.5%
3 43
 
5.4%
4 41
 
5.1%
1 41
 
5.1%
Other values (9) 221
27.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 400
50.0%
Lowercase Letter 200
25.0%
Other Letter 200
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 56
14.0%
9 46
11.5%
6 45
11.2%
3 43
10.8%
4 41
10.2%
1 41
10.2%
0 36
9.0%
2 34
8.5%
8 33
8.2%
7 25
6.2%
Other Letter
ValueCountFrequency (%)
다 63
31.5%
라 44
22.0%
사 39
19.5%
마 34
17.0%
바 17
 
8.5%
나 2
 
1.0%
아 1
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
b 103
51.5%
a 97
48.5%

Most occurring scripts

ValueCountFrequency (%)
Common 400
50.0%
Latin 200
25.0%
Hangul 200
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 56
14.0%
9 46
11.5%
6 45
11.2%
3 43
10.8%
4 41
10.2%
1 41
10.2%
0 36
9.0%
2 34
8.5%
8 33
8.2%
7 25
6.2%
Hangul
ValueCountFrequency (%)
다 63
31.5%
라 44
22.0%
사 39
19.5%
마 34
17.0%
바 17
 
8.5%
나 2
 
1.0%
아 1
 
0.5%
Latin
ValueCountFrequency (%)
b 103
51.5%
a 97
48.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 600
75.0%
Hangul 200
 
25.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
b 103
17.2%
a 97
16.2%
5 56
9.3%
9 46
7.7%
6 45
7.5%
3 43
7.2%
4 41
 
6.8%
1 41
 
6.8%
0 36
 
6.0%
2 34
 
5.7%
Other values (2) 58
9.7%
Hangul
ValueCountFrequency (%)
다 63
31.5%
라 44
22.0%
사 39
19.5%
마 34
17.0%
바 17
 
8.5%
나 2
 
1.0%
아 1
 
0.5%

co
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 100
100.0%

Length

2023-12-10T19:05:52.686739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:05:52.852655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 100
100.0%

Missing values

2023-12-10T19:05:50.924790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T19:05:51.038509image/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.

Sample

gid_cdco
0다사49a29b1
1마라11b53a1
2라바77a87b1
3라라85a51a1
4다라47a83b1
5다마65b61a1
6라마94a71b1
7다사41a61a1
8다사29a39a1
9다사54b51a1
gid_cdco
90마라39a80a1
91다사59b89b1
92다바20b15b1
93라사00b80b1
94다사22b38a1
95다마53b72b1
96다라01a44b1
97다나11b73a1
98다바85b11b1
99다사67a33b1