Dataset statistics
| Number of variables | 3 |
|---|---|
| Number of observations | 26 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 808.0 B |
| Average record size in memory | 31.1 B |
Variable types
| DateTime | 1 |
|---|---|
| Numeric | 2 |
Dataset
| Description | 한국지역난방공사가 현물시장에서 구매한 공급인증서의 월별 구매량, 구매평균가에 관한 정보를 2020년부터 제공합니다. |
|---|---|
| Author | 한국지역난방공사 |
| URL | https://www.data.go.kr/data/15090323/fileData.do |
Reproduction
| Analysis started | 2023-12-12 21:57:04.988253 |
|---|---|
| Analysis finished | 2023-12-12 21:57:05.594500 |
| Duration | 0.61 seconds |
| Software version | ydata-profiling vv4.5.1 |
| Download configuration | config.json |
구매일시
Date
UNIQUE
| Distinct | 26 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 340.0 B |
| Minimum | 2020-01-31 00:00:00 |
|---|---|
| Maximum | 2022-02-28 00:00:00 |
Histogram with fixed size bins (bins=26)
구매수량(REC)
Real number (ℝ)
ZEROS
| Distinct | 21 |
|---|---|
| Distinct (%) | 80.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 43684.385 |
| Minimum | 0 |
|---|---|
| Maximum | 148948 |
| Zeros | 6 |
| Zeros (%) | 23.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 366.0 B |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 4283.75 |
| median | 24619.5 |
| Q3 | 72073.25 |
| 95-th percentile | 136951.75 |
| Maximum | 148948 |
| Range | 148948 |
| Interquartile range (IQR) | 67789.5 |
Descriptive statistics
| Standard deviation | 49082.619 |
|---|---|
| Coefficient of variation (CV) | 1.1235735 |
| Kurtosis | -0.40364926 |
| Mean | 43684.385 |
| Median Absolute Deviation (MAD) | 24619.5 |
| Skewness | 0.99566484 |
| Sum | 1135794 |
| Variance | 2.4091035 × 109 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=21)
| Value | Count | Frequency (%) |
| 0 | 6 | |
| 5735 | 1 | 3.8% |
| 139718 | 1 | 3.8% |
| 128653 | 1 | 3.8% |
| 148948 | 1 | 3.8% |
| 24397 | 1 | 3.8% |
| 24842 | 1 | 3.8% |
| 31781 | 1 | 3.8% |
| 109515 | 1 | 3.8% |
| 33673 | 1 | 3.8% |
| Other values (11) | 11 |
| Value | Count | Frequency (%) |
| 0 | 6 | |
| 3800 | 1 | 3.8% |
| 5735 | 1 | 3.8% |
| 10000 | 1 | 3.8% |
| 12738 | 1 | 3.8% |
| 12757 | 1 | 3.8% |
| 20840 | 1 | 3.8% |
| 24397 | 1 | 3.8% |
| 24842 | 1 | 3.8% |
| 24936 | 1 | 3.8% |
| Value | Count | Frequency (%) |
| 148948 | 1 | |
| 139718 | 1 | |
| 128653 | 1 | |
| 115040 | 1 | |
| 109515 | 1 | |
| 91957 | 1 | |
| 74464 | 1 | |
| 64901 | 1 | |
| 57099 | 1 | |
| 33673 | 1 |
구매평균가(원)
Real number (ℝ)
ZEROS
| Distinct | 21 |
|---|---|
| Distinct (%) | 80.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 29793.538 |
| Minimum | 0 |
|---|---|
| Maximum | 46904 |
| Zeros | 6 |
| Zeros (%) | 23.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 366.0 B |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 29918.5 |
| median | 36450 |
| Q3 | 42551 |
| 95-th percentile | 44872.75 |
| Maximum | 46904 |
| Range | 46904 |
| Interquartile range (IQR) | 12632.5 |
Descriptive statistics
| Standard deviation | 17324.158 |
|---|---|
| Coefficient of variation (CV) | 0.58147365 |
| Kurtosis | -0.49763153 |
| Mean | 29793.538 |
| Median Absolute Deviation (MAD) | 6649.5 |
| Skewness | -1.0806185 |
| Sum | 774632 |
| Variance | 3.0012644 × 108 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=21)
| Value | Count | Frequency (%) |
| 0 | 6 | |
| 44352 | 1 | 3.8% |
| 43179 | 1 | 3.8% |
| 39798 | 1 | 3.8% |
| 39310 | 1 | 3.8% |
| 37483 | 1 | 3.8% |
| 29880 | 1 | 3.8% |
| 30034 | 1 | 3.8% |
| 31641 | 1 | 3.8% |
| 31385 | 1 | 3.8% |
| Other values (11) | 11 |
| Value | Count | Frequency (%) |
| 0 | 6 | |
| 29880 | 1 | 3.8% |
| 30034 | 1 | 3.8% |
| 31385 | 1 | 3.8% |
| 31641 | 1 | 3.8% |
| 33173 | 1 | 3.8% |
| 34341 | 1 | 3.8% |
| 35417 | 1 | 3.8% |
| 37483 | 1 | 3.8% |
| 39310 | 1 | 3.8% |
| Value | Count | Frequency (%) |
| 46904 | 1 | |
| 45039 | 1 | |
| 44374 | 1 | |
| 44352 | 1 | |
| 44322 | 1 | |
| 44298 | 1 | |
| 43179 | 1 | |
| 40667 | 1 | |
| 39798 | 1 | |
| 39609 | 1 |
| 구매일시 | 구매수량(REC) | 구매평균가(원) | |
|---|---|---|---|
| 구매일시 | 1.000 | 1.000 | 1.000 |
| 구매수량(REC) | 1.000 | 1.000 | 0.643 |
| 구매평균가(원) | 1.000 | 0.643 | 1.000 |
| 구매수량(REC) | 구매평균가(원) | |
|---|---|---|
| 구매수량(REC) | 1.000 | 0.483 |
| 구매평균가(원) | 0.483 | 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.
| 구매일시 | 구매수량(REC) | 구매평균가(원) | |
|---|---|---|---|
| 0 | 2020-01-31 | 0 | 0 |
| 1 | 2020-02-29 | 0 | 0 |
| 2 | 2020-03-31 | 0 | 0 |
| 3 | 2020-04-30 | 5735 | 44352 |
| 4 | 2020-05-31 | 10000 | 44322 |
| 5 | 2020-06-30 | 20840 | 44298 |
| 6 | 2020-07-31 | 12757 | 44374 |
| 7 | 2020-08-31 | 64901 | 46904 |
| 8 | 2020-09-30 | 74464 | 45039 |
| 9 | 2020-10-31 | 57099 | 40667 |
| 구매일시 | 구매수량(REC) | 구매평균가(원) | |
|---|---|---|---|
| 16 | 2021-05-31 | 33673 | 31385 |
| 17 | 2021-06-30 | 109515 | 31641 |
| 18 | 2021-07-31 | 31781 | 30034 |
| 19 | 2021-08-31 | 24842 | 29880 |
| 20 | 2021-09-30 | 0 | 0 |
| 21 | 2021-10-31 | 24397 | 37483 |
| 22 | 2021-11-30 | 148948 | 39310 |
| 23 | 2021-12-31 | 128653 | 39798 |
| 24 | 2022-01-31 | 139718 | 43179 |
| 25 | 2022-02-28 | 0 | 0 |