Dataset statistics
| Number of variables | 3 |
|---|---|
| Number of observations | 34 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 982.0 B |
| Average record size in memory | 28.9 B |
Variable types
| DateTime | 1 |
|---|---|
| Categorical | 1 |
| Numeric | 1 |
Dataset
| Description | 천연가스 월별 시간당 최대 총 공급량 현황에 대한 데이터로 연월, 최대 총 공급량(Ton)의 속성 정보를 제공하고 있습니다. |
|---|---|
| Author | 한국가스공사 |
| URL | https://www.data.go.kr/data/15066501/fileData.do |
연월일 has unique values | Unique |
최대 총 공급량(Ton) has unique values | Unique |
Reproduction
| Analysis started | 2023-12-12 00:45:51.688516 |
|---|---|
| Analysis finished | 2023-12-12 00:45:52.070692 |
| Duration | 0.38 seconds |
| Software version | ydata-profiling vv4.5.1 |
| Download configuration | config.json |
연월일
Date
UNIQUE
| Distinct | 34 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 404.0 B |
| Minimum | 2020-01-16 00:00:00 |
|---|---|
| Maximum | 2022-10-25 00:00:00 |
Histogram with fixed size bins (bins=34)
시간
Categorical
| Distinct | 10 |
|---|---|
| Distinct (%) | 29.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 404.0 B |
| 09:00 | |
|---|---|
| 20:00 | |
| 17:00 | |
| 15:00 | |
| 19:00 | |
| Other values (5) |
Length
| Max length | 5 |
|---|---|
| Median length | 5 |
| Mean length | 5 |
| Min length | 5 |
Unique
| Unique | 3 ? |
|---|---|
| Unique (%) | 8.8% |
Sample
| 1st row | 09:00 |
|---|---|
| 2nd row | 09:00 |
| 3rd row | 21:00 |
| 4th row | 21:00 |
| 5th row | 11:00 |
Common Values
| Value | Count | Frequency (%) |
| 09:00 | 10 | |
| 20:00 | 5 | |
| 17:00 | 4 | 11.8% |
| 15:00 | 4 | 11.8% |
| 19:00 | 4 | 11.8% |
| 21:00 | 2 | 5.9% |
| 11:00 | 2 | 5.9% |
| 12:00 | 1 | 2.9% |
| 14:00 | 1 | 2.9% |
| 16:00 | 1 | 2.9% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 09:00 | 10 | |
| 20:00 | 5 | |
| 17:00 | 4 | 11.8% |
| 15:00 | 4 | 11.8% |
| 19:00 | 4 | 11.8% |
| 21:00 | 2 | 5.9% |
| 11:00 | 2 | 5.9% |
| 12:00 | 1 | 2.9% |
| 14:00 | 1 | 2.9% |
| 16:00 | 1 | 2.9% |
최대 총 공급량(Ton)
Real number (ℝ)
UNIQUE
| Distinct | 34 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7226.7941 |
| Minimum | 4314 |
|---|---|
| Maximum | 11970 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 438.0 B |
Quantile statistics
| Minimum | 4314 |
|---|---|
| 5-th percentile | 4621.6 |
| Q1 | 5758.5 |
| median | 6348.5 |
| Q3 | 9031 |
| 95-th percentile | 10574 |
| Maximum | 11970 |
| Range | 7656 |
| Interquartile range (IQR) | 3272.5 |
Descriptive statistics
| Standard deviation | 2148.289 |
|---|---|
| Coefficient of variation (CV) | 0.29726722 |
| Kurtosis | -0.81897924 |
| Mean | 7226.7941 |
| Median Absolute Deviation (MAD) | 976.5 |
| Skewness | 0.71537702 |
| Sum | 245711 |
| Variance | 4615145.7 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=34)
| Value | Count | Frequency (%) |
| 9638 | 1 | 2.9% |
| 9213 | 1 | 2.9% |
| 5811 | 1 | 2.9% |
| 6323 | 1 | 2.9% |
| 7924 | 1 | 2.9% |
| 10560 | 1 | 2.9% |
| 10360 | 1 | 2.9% |
| 10414 | 1 | 2.9% |
| 6756 | 1 | 2.9% |
| 6470 | 1 | 2.9% |
| Other values (24) | 24 |
| Value | Count | Frequency (%) |
| 4314 | 1 | |
| 4450 | 1 | |
| 4714 | 1 | |
| 5208 | 1 | |
| 5234 | 1 | |
| 5510 | 1 | |
| 5559 | 1 | |
| 5745 | 1 | |
| 5752 | 1 | |
| 5778 | 1 |
| Value | Count | Frequency (%) |
| 11970 | 1 | |
| 10600 | 1 | |
| 10560 | 1 | |
| 10515 | 1 | |
| 10414 | 1 | |
| 10360 | 1 | |
| 10120 | 1 | |
| 9638 | 1 | |
| 9213 | 1 | |
| 8485 | 1 |
| 연월일 | 시간 | 최대 총 공급량(Ton) | |
|---|---|---|---|
| 연월일 | 1.000 | 1.000 | 1.000 |
| 시간 | 1.000 | 1.000 | 0.606 |
| 최대 총 공급량(Ton) | 1.000 | 0.606 | 1.000 |
| 최대 총 공급량(Ton) | 시간 | |
|---|---|---|
| 최대 총 공급량(Ton) | 1.000 | 0.133 |
| 시간 | 0.133 | 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.
| 연월일 | 시간 | 최대 총 공급량(Ton) | |
|---|---|---|---|
| 0 | 2020-01-16 | 09:00 | 9638 |
| 1 | 2020-02-06 | 09:00 | 10120 |
| 2 | 2020-03-22 | 21:00 | 4714 |
| 3 | 2020-04-05 | 21:00 | 4450 |
| 4 | 2020-05-15 | 11:00 | 4314 |
| 5 | 2020-06-10 | 17:00 | 5234 |
| 6 | 2020-07-20 | 12:00 | 5208 |
| 7 | 2020-08-26 | 15:00 | 6374 |
| 8 | 2020-09-02 | 15:00 | 5559 |
| 9 | 2020-10-29 | 19:00 | 5778 |
| 연월일 | 시간 | 최대 총 공급량(Ton) | |
|---|---|---|---|
| 24 | 2022-01-12 | 09:00 | 10360 |
| 25 | 2022-02-23 | 09:00 | 10414 |
| 26 | 2022-03-07 | 09:00 | 9213 |
| 27 | 2022-04-04 | 20:00 | 6756 |
| 28 | 2022-05-03 | 20:00 | 5510 |
| 29 | 2022-06-27 | 11:00 | 6292 |
| 30 | 2022-07-07 | 17:00 | 6581 |
| 31 | 2022-08-08 | 15:00 | 6061 |
| 32 | 2022-09-16 | 17:00 | 6025 |
| 33 | 2022-10-25 | 19:00 | 5745 |