Dataset statistics
| Number of variables | 2 |
|---|---|
| Number of observations | 100 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 2 |
| Duplicate rows (%) | 2.0% |
| Total size in memory | 1.9 KiB |
| Average record size in memory | 19.3 B |
Variable types
| Categorical | 2 |
|---|
Dataset
| Description | 샘플 데이터 |
|---|---|
| Author | 한국기상산업기술원 |
| URL | https://www.bigdata-environment.kr/user/data_market/detail.do?id=e391e360-a186-11ea-abba-b94a7d658096 |
습도 has constant value "" | Constant |
| Dataset has 2 (2.0%) duplicate rows | Duplicates |
Reproduction
| Analysis started | 2023-12-10 13:07:50.435239 |
|---|---|
| Analysis finished | 2023-12-10 13:07:50.608416 |
| Duration | 0.17 seconds |
| Software version | ydata-profiling vv4.5.1 |
| Download configuration | config.json |
습도
Categorical
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | 1.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 932.0 B |
| -1 |
|---|
Length
| Max length | 2 |
|---|---|
| Median length | 2 |
| Mean length | 2 |
| Min length | 2 |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | -1 |
|---|---|
| 2nd row | -1 |
| 3rd row | -1 |
| 4th row | -1 |
| 5th row | -1 |
Common Values
| Value | Count | Frequency (%) |
| -1 | 100 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1 | 100 |
파고
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 2.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 932.0 B |
| 1.5 | |
|---|---|
| 1.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1.0 |
|---|---|
| 2nd row | 1.0 |
| 3rd row | 1.0 |
| 4th row | 1.0 |
| 5th row | 1.0 |
Common Values
| Value | Count | Frequency (%) |
| 1.5 | 69 | |
| 1.0 | 31 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1.5 | 69 | |
| 1.0 | 31 |
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.
| 습도 | 파고 | |
|---|---|---|
| 0 | -1 | 1.0 |
| 1 | -1 | 1.0 |
| 2 | -1 | 1.0 |
| 3 | -1 | 1.0 |
| 4 | -1 | 1.0 |
| 5 | -1 | 1.0 |
| 6 | -1 | 1.0 |
| 7 | -1 | 1.0 |
| 8 | -1 | 1.0 |
| 9 | -1 | 1.0 |
| 습도 | 파고 | |
|---|---|---|
| 90 | -1 | 1.5 |
| 91 | -1 | 1.5 |
| 92 | -1 | 1.5 |
| 93 | -1 | 1.5 |
| 94 | -1 | 1.5 |
| 95 | -1 | 1.5 |
| 96 | -1 | 1.5 |
| 97 | -1 | 1.5 |
| 98 | -1 | 1.5 |
| 99 | -1 | 1.5 |
Most frequently occurring
| 습도 | 파고 | # duplicates | |
|---|---|---|---|
| 1 | -1 | 1.5 | 69 |
| 0 | -1 | 1.0 | 31 |