Dataset statistics
| Number of variables | 3 |
|---|---|
| Number of observations | 72 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 1.9 KiB |
| Average record size in memory | 26.8 B |
Variable types
| DateTime | 2 |
|---|---|
| Numeric | 1 |
Dataset
| Description | 전북특별자치도 전주시의 2020년 코로나19 일자별 확진자 수를 제공하며, 확진일자, 확진환자(일계), 데이터기준일자를 제공합니다.제공부서 : 전주시 보건소 감염병관리과 |
|---|---|
| Author | 전북특별자치도 전주시 |
| URL | https://www.data.go.kr/data/15122622/fileData.do |
Reproduction
| Analysis started | 2024-03-14 17:24:00.120896 |
|---|---|
| Analysis finished | 2024-03-14 17:24:00.862104 |
| Duration | 0.74 seconds |
| Software version | ydata-profiling vv4.5.1 |
| Download configuration | config.json |
확진일자
Date
UNIQUE
| Distinct | 72 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 704.0 B |
| Minimum | 2020-02-21 00:00:00 |
|---|---|
| Maximum | 2020-12-31 00:00:00 |
Histogram with fixed size bins (bins=50)
확진환자(일계)
Real number (ℝ)
| Distinct | 10 |
|---|---|
| Distinct (%) | 13.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.8055556 |
| Minimum | 1 |
|---|---|
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 776.0 B |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 2 |
| Q3 | 4 |
| 95-th percentile | 7 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 2.2432301 |
|---|---|
| Coefficient of variation (CV) | 0.79956717 |
| Kurtosis | 0.99883494 |
| Mean | 2.8055556 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.2743192 |
| Sum | 202 |
| Variance | 5.0320814 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 1 | 32 | |
| 3 | 9 | 12.5% |
| 2 | 9 | 12.5% |
| 4 | 7 | 9.7% |
| 5 | 6 | 8.3% |
| 7 | 4 | 5.6% |
| 6 | 2 | 2.8% |
| 8 | 1 | 1.4% |
| 10 | 1 | 1.4% |
| 9 | 1 | 1.4% |
| Value | Count | Frequency (%) |
| 1 | 32 | |
| 2 | 9 | 12.5% |
| 3 | 9 | 12.5% |
| 4 | 7 | 9.7% |
| 5 | 6 | 8.3% |
| 6 | 2 | 2.8% |
| 7 | 4 | 5.6% |
| 8 | 1 | 1.4% |
| 9 | 1 | 1.4% |
| 10 | 1 | 1.4% |
| Value | Count | Frequency (%) |
| 10 | 1 | 1.4% |
| 9 | 1 | 1.4% |
| 8 | 1 | 1.4% |
| 7 | 4 | 5.6% |
| 6 | 2 | 2.8% |
| 5 | 6 | 8.3% |
| 4 | 7 | 9.7% |
| 3 | 9 | 12.5% |
| 2 | 9 | 12.5% |
| 1 | 32 |
데이터기준일자
Date
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | 1.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 704.0 B |
| Minimum | 2023-09-11 00:00:00 |
|---|---|
| Maximum | 2023-09-11 00:00:00 |
Histogram with fixed size bins (bins=1)
| 확진일자 | 확진환자(일계) | |
|---|---|---|
| 확진일자 | 1.000 | 1.000 |
| 확진환자(일계) | 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.
| 확진일자 | 확진환자(일계) | 데이터기준일자 | |
|---|---|---|---|
| 0 | 2020-02-21 | 1 | 2023-09-11 |
| 1 | 2020-03-02 | 1 | 2023-09-11 |
| 2 | 2020-03-18 | 1 | 2023-09-11 |
| 3 | 2020-03-28 | 1 | 2023-09-11 |
| 4 | 2020-03-29 | 1 | 2023-09-11 |
| 5 | 2020-03-31 | 1 | 2023-09-11 |
| 6 | 2020-04-02 | 1 | 2023-09-11 |
| 7 | 2020-04-07 | 1 | 2023-09-11 |
| 8 | 2020-06-17 | 1 | 2023-09-11 |
| 9 | 2020-06-28 | 1 | 2023-09-11 |
| 확진일자 | 확진환자(일계) | 데이터기준일자 | |
|---|---|---|---|
| 62 | 2020-12-20 | 7 | 2023-09-11 |
| 63 | 2020-12-21 | 1 | 2023-09-11 |
| 64 | 2020-12-23 | 3 | 2023-09-11 |
| 65 | 2020-12-24 | 4 | 2023-09-11 |
| 66 | 2020-12-25 | 5 | 2023-09-11 |
| 67 | 2020-12-26 | 3 | 2023-09-11 |
| 68 | 2020-12-28 | 4 | 2023-09-11 |
| 69 | 2020-12-29 | 2 | 2023-09-11 |
| 70 | 2020-12-30 | 1 | 2023-09-11 |
| 71 | 2020-12-31 | 4 | 2023-09-11 |