Dataset statistics
| Number of variables | 2 |
|---|---|
| Number of observations | 32 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 676.0 B |
| Average record size in memory | 21.1 B |
Variable types
| Numeric | 1 |
|---|---|
| Text | 1 |
Dataset
| Description | Sample |
|---|---|
| Author | (주)네스 |
| URL | https://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=NES00022 |
Reproduction
| Analysis started | 2023-12-10 06:46:39.994936 |
|---|---|
| Analysis finished | 2023-12-10 06:46:40.374555 |
| Duration | 0.38 seconds |
| Software version | ydata-profiling vv4.5.1 |
| Download configuration | config.json |
NO
Real number (ℝ)
UNIQUE
| Distinct | 32 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 16.5 |
| Minimum | 1 |
|---|---|
| Maximum | 32 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 420.0 B |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 2.55 |
| Q1 | 8.75 |
| median | 16.5 |
| Q3 | 24.25 |
| 95-th percentile | 30.45 |
| Maximum | 32 |
| Range | 31 |
| Interquartile range (IQR) | 15.5 |
Descriptive statistics
| Standard deviation | 9.3808315 |
|---|---|
| Coefficient of variation (CV) | 0.56853524 |
| Kurtosis | -1.2 |
| Mean | 16.5 |
| Median Absolute Deviation (MAD) | 8 |
| Skewness | 0 |
| Sum | 528 |
| Variance | 88 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=32)
| Value | Count | Frequency (%) |
| 1 | 1 | 3.1% |
| 18 | 1 | 3.1% |
| 32 | 1 | 3.1% |
| 31 | 1 | 3.1% |
| 30 | 1 | 3.1% |
| 29 | 1 | 3.1% |
| 28 | 1 | 3.1% |
| 27 | 1 | 3.1% |
| 26 | 1 | 3.1% |
| 25 | 1 | 3.1% |
| Other values (22) | 22 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
| Value | Count | Frequency (%) |
| 32 | 1 | |
| 31 | 1 | |
| 30 | 1 | |
| 29 | 1 | |
| 28 | 1 | |
| 27 | 1 | |
| 26 | 1 | |
| 25 | 1 | |
| 24 | 1 | |
| 23 | 1 |
KEYWORD
Text
UNIQUE
| Distinct | 32 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 388.0 B |
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 3.71875 |
| Min length | 3 |
Characters and Unicode
| Total characters | 119 |
|---|---|
| Distinct characters | 12 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 32 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | 욕설1 |
|---|---|
| 2nd row | 욕설2 |
| 3rd row | 욕설3 |
| 4th row | 욕설4 |
| 5th row | 욕설5 |
| Value | Count | Frequency (%) |
| 욕설1 | 1 | 3.1% |
| 욕설2 | 1 | 3.1% |
| 욕설31 | 1 | 3.1% |
| 욕설30 | 1 | 3.1% |
| 욕설29 | 1 | 3.1% |
| 욕설28 | 1 | 3.1% |
| 욕설27 | 1 | 3.1% |
| 욕설26 | 1 | 3.1% |
| 욕설25 | 1 | 3.1% |
| 욕설24 | 1 | 3.1% |
| Other values (22) | 22 |
Most occurring characters
| Value | Count | Frequency (%) |
| 욕 | 32 | |
| 설 | 32 | |
| 1 | 14 | |
| 2 | 14 | |
| 3 | 6 | 5.0% |
| 4 | 3 | 2.5% |
| 5 | 3 | 2.5% |
| 6 | 3 | 2.5% |
| 7 | 3 | 2.5% |
| 8 | 3 | 2.5% |
| Other values (2) | 6 | 5.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Other Letter | 64 | |
| Decimal Number | 55 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 14 | |
| 2 | 14 | |
| 3 | 6 | |
| 4 | 3 | 5.5% |
| 5 | 3 | 5.5% |
| 6 | 3 | 5.5% |
| 7 | 3 | 5.5% |
| 8 | 3 | 5.5% |
| 9 | 3 | 5.5% |
| 0 | 3 | 5.5% |
Other Letter
| Value | Count | Frequency (%) |
| 욕 | 32 | |
| 설 | 32 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Hangul | 64 | |
| Common | 55 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 14 | |
| 2 | 14 | |
| 3 | 6 | |
| 4 | 3 | 5.5% |
| 5 | 3 | 5.5% |
| 6 | 3 | 5.5% |
| 7 | 3 | 5.5% |
| 8 | 3 | 5.5% |
| 9 | 3 | 5.5% |
| 0 | 3 | 5.5% |
Hangul
| Value | Count | Frequency (%) |
| 욕 | 32 | |
| 설 | 32 |
Most occurring blocks
| Value | Count | Frequency (%) |
| Hangul | 64 | |
| ASCII | 55 |
Most frequent character per block
Hangul
| Value | Count | Frequency (%) |
| 욕 | 32 | |
| 설 | 32 |
ASCII
| Value | Count | Frequency (%) |
| 1 | 14 | |
| 2 | 14 | |
| 3 | 6 | |
| 4 | 3 | 5.5% |
| 5 | 3 | 5.5% |
| 6 | 3 | 5.5% |
| 7 | 3 | 5.5% |
| 8 | 3 | 5.5% |
| 9 | 3 | 5.5% |
| 0 | 3 | 5.5% |
| NO | KEYWORD | |
|---|---|---|
| NO | 1.000 | 1.000 |
| KEYWORD | 1.000 | 1.000 |
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.
| NO | KEYWORD | |
|---|---|---|
| 0 | 1 | 욕설1 |
| 1 | 2 | 욕설2 |
| 2 | 3 | 욕설3 |
| 3 | 4 | 욕설4 |
| 4 | 5 | 욕설5 |
| 5 | 6 | 욕설6 |
| 6 | 7 | 욕설7 |
| 7 | 8 | 욕설8 |
| 8 | 9 | 욕설9 |
| 9 | 10 | 욕설10 |
| NO | KEYWORD | |
|---|---|---|
| 22 | 23 | 욕설23 |
| 23 | 24 | 욕설24 |
| 24 | 25 | 욕설25 |
| 25 | 26 | 욕설26 |
| 26 | 27 | 욕설27 |
| 27 | 28 | 욕설28 |
| 28 | 29 | 욕설29 |
| 29 | 30 | 욕설30 |
| 30 | 31 | 욕설31 |
| 31 | 32 | 욕설32 |