Dataset statistics
| Number of variables | 3 |
|---|---|
| Number of observations | 2589 |
| Missing cells | 5176 |
| Missing cells (%) | 66.6% |
| Duplicate rows | 6 |
| Duplicate rows (%) | 0.2% |
| Total size in memory | 60.8 KiB |
| Average record size in memory | 24.0 B |
Variable types
| Categorical | 1 |
|---|---|
| Text | 2 |
Dataset
| Description | 농가의 일일 영농활동(교육, 시비 작업 등), 생산, 판매 활동 등 기록 관리시스템으로 행위 비고1 비고2를 제공합니다. |
|---|---|
| Author | 충청북도 |
| URL | https://www.data.go.kr/data/15050309/fileData.do |
비고1 has constant value "" | Constant |
비고2 has constant value "" | Constant |
| Dataset has 6 (0.2%) duplicate rows | Duplicates |
비고1 has 2588 (> 99.9%) missing values | Missing |
비고2 has 2588 (> 99.9%) missing values | Missing |
Reproduction
| Analysis started | 2024-04-20 15:55:40.710387 |
|---|---|
| Analysis finished | 2024-04-20 15:55:41.183759 |
| Duration | 0.47 seconds |
| Software version | ydata-profiling vv4.5.1 |
| Download configuration | config.json |
행위
Categorical
| Distinct | 6 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 20.4 KiB |
| L | |
|---|---|
| V | |
| D | |
| I | |
| U |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | D |
|---|---|
| 2nd row | E |
| 3rd row | I |
| 4th row | L |
| 5th row | U |
Common Values
| Value | Count | Frequency (%) |
| L | 445 | |
| V | 445 | |
| D | 437 | |
| I | 437 | |
| U | 437 | |
| E | 388 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| l | 445 | |
| v | 445 | |
| d | 437 | |
| i | 437 | |
| u | 437 | |
| e | 388 |
비고1
Text
CONSTANT MISSING
| Distinct | 1 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 2588 |
| Missing (%) | > 99.9% |
| Memory size | 20.4 KiB |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1 |
|---|---|
| Distinct characters | 1 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | a |
|---|
| Value | Count | Frequency (%) |
| a | 1 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 1 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 1 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 1 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 1 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 1 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 1 |
비고2
Text
CONSTANT MISSING
| Distinct | 1 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 2588 |
| Missing (%) | > 99.9% |
| Memory size | 20.4 KiB |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1 |
|---|---|
| Distinct characters | 1 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | a |
|---|
| Value | Count | Frequency (%) |
| a | 1 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 1 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 1 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 1 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 1 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 1 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 1 |
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.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
| 행위 | 비고1 | 비고2 | |
|---|---|---|---|
| 0 | D | a | a |
| 1 | E | <NA> | <NA> |
| 2 | I | <NA> | <NA> |
| 3 | L | <NA> | <NA> |
| 4 | U | <NA> | <NA> |
| 5 | V | <NA> | <NA> |
| 6 | D | <NA> | <NA> |
| 7 | E | <NA> | <NA> |
| 8 | I | <NA> | <NA> |
| 9 | L | <NA> | <NA> |
| 행위 | 비고1 | 비고2 | |
|---|---|---|---|
| 2579 | E | <NA> | <NA> |
| 2580 | I | <NA> | <NA> |
| 2581 | L | <NA> | <NA> |
| 2582 | U | <NA> | <NA> |
| 2583 | V | <NA> | <NA> |
| 2584 | D | <NA> | <NA> |
| 2585 | I | <NA> | <NA> |
| 2586 | L | <NA> | <NA> |
| 2587 | U | <NA> | <NA> |
| 2588 | V | <NA> | <NA> |
Most frequently occurring
| 행위 | 비고1 | 비고2 | # duplicates | |
|---|---|---|---|---|
| 3 | L | <NA> | <NA> | 445 |
| 5 | V | <NA> | <NA> | 445 |
| 2 | I | <NA> | <NA> | 437 |
| 4 | U | <NA> | <NA> | 437 |
| 0 | D | <NA> | <NA> | 436 |
| 1 | E | <NA> | <NA> | 388 |