Overview
Brought to you by YData
Dataset statistics
| Number of variables | 3 |
|---|---|
| Number of observations | 4 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 200.0 B |
| Average record size in memory | 50.0 B |
Variable types
| Categorical | 1 |
|---|---|
| Text | 1 |
| Boolean | 1 |
Reproduction
| Analysis started | 2025-10-16 05:40:14.972296 |
|---|---|
| Analysis finished | 2025-10-16 05:40:15.711667 |
| Duration | 0.74 seconds |
| Software version | ydata-profiling vv4.17.0 |
| Download configuration | config.json |
Variables
col1
Categorical
High correlation Uniform Unique
| Distinct | 4 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 164.0 B |
| 1 | |
|---|---|
| 2 | |
| 3 | |
| 4 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Unique
| Unique | 4 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 2 |
| 3rd row | 3 |
| 4th row | 4 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 4 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 4 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 4 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 |
col2
Text
Unique
| Distinct | 4 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 164.0 B |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Unique
| Unique | 4 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | A |
|---|---|
| 2nd row | B |
| 3rd row | C |
| 4th row | D |
| Value | Count | Frequency (%) |
| a | 1 | |
| b | 1 | |
| c | 1 | |
| d | 1 |
Most occurring characters
| Value | Count | Frequency (%) |
| A | 1 | |
| B | 1 | |
| C | 1 | |
| D | 1 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 4 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| A | 1 | |
| B | 1 | |
| C | 1 | |
| D | 1 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 4 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| A | 1 | |
| B | 1 | |
| C | 1 | |
| D | 1 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 4 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| A | 1 | |
| B | 1 | |
| C | 1 | |
| D | 1 |
col3
Boolean
High correlation
| Distinct | 2 |
|---|---|
| Distinct (%) | 50.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 136.0 B |
| True | |
|---|---|
| False |
| Value | Count | Frequency (%) |
| True | 2 | |
| False | 2 |
Correlations
| col1 | col3 | |
|---|---|---|
| col1 | 1.000 | 1.000 |
| col3 | 1.000 | 1.000 |
Missing values
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
Sample
| col1 | col2 | col3 | |
|---|---|---|---|
| 0 | 1 | A | True |
| 1 | 2 | B | False |
| 2 | 3 | C | True |
| 3 | 4 | D | False |
| col1 | col2 | col3 | |
|---|---|---|---|
| 0 | 1 | A | True |
| 1 | 2 | B | False |
| 2 | 3 | C | True |
| 3 | 4 | D | False |