Dataset statistics
| Number of variables | 3 |
|---|---|
| Number of observations | 44 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 1.2 KiB |
| Average record size in memory | 27.9 B |
Variable types
| DateTime | 1 |
|---|---|
| Numeric | 1 |
| Categorical | 1 |
Dataset
| Description | 인천광역시 미추홀구의 코로나바이러스감염증-19 확진자 수에 대한 데이터로 확진월, 코로나19 확진자수에 대한 정보를 제공하고 있습니다. |
|---|---|
| Author | 인천광역시 미추홀구 |
| URL | https://www.data.go.kr/data/15084612/fileData.do |
데이터기준일자 has constant value "" | Constant |
확진월 has unique values | Unique |
코로나19 확진자 수 has 1 (2.3%) zeros | Zeros |
Reproduction
| Analysis started | 2024-03-14 20:15:29.579641 |
|---|---|
| Analysis finished | 2024-03-14 20:15:30.362169 |
| Duration | 0.78 seconds |
| Software version | ydata-profiling vv4.5.1 |
| Download configuration | config.json |
확진월
Date
UNIQUE
| Distinct | 44 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 480.0 B |
| Minimum | 2020-01-01 00:00:00 |
|---|---|
| Maximum | 2023-08-01 00:00:00 |
Histogram with fixed size bins (bins=44)
코로나19 확진자 수
Real number (ℝ)
ZEROS
| Distinct | 43 |
|---|---|
| Distinct (%) | 97.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5660.0682 |
| Minimum | 0 |
|---|---|
| Maximum | 75403 |
| Zeros | 1 |
| Zeros (%) | 2.3% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 524.0 B |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 3 |
| Q1 | 38.5 |
| median | 626.5 |
| Q3 | 5829.75 |
| 95-th percentile | 22649.55 |
| Maximum | 75403 |
| Range | 75403 |
| Interquartile range (IQR) | 5791.25 |
Descriptive statistics
| Standard deviation | 12636.884 |
|---|---|
| Coefficient of variation (CV) | 2.2326382 |
| Kurtosis | 22.022957 |
| Mean | 5660.0682 |
| Median Absolute Deviation (MAD) | 624.5 |
| Skewness | 4.295132 |
| Sum | 249043 |
| Variance | 1.5969085 × 108 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=43)
| Value | Count | Frequency (%) |
| 3 | 2 | 4.5% |
| 0 | 1 | 2.3% |
| 11843 | 1 | 2.3% |
| 75403 | 1 | 2.3% |
| 27647 | 1 | 2.3% |
| 4431 | 1 | 2.3% |
| 1045 | 1 | 2.3% |
| 8842 | 1 | 2.3% |
| 21576 | 1 | 2.3% |
| 10626 | 1 | 2.3% |
| Other values (33) | 33 |
| Value | Count | Frequency (%) |
| 0 | 1 | |
| 1 | 1 | |
| 3 | 2 | |
| 9 | 1 | |
| 18 | 1 | |
| 27 | 1 | |
| 28 | 1 | |
| 29 | 1 | |
| 32 | 1 | |
| 34 | 1 |
| Value | Count | Frequency (%) |
| 75403 | 1 | |
| 27647 | 1 | |
| 22839 | 1 | |
| 21576 | 1 | |
| 13910 | 1 | |
| 11843 | 1 | |
| 10626 | 1 | |
| 10173 | 1 | |
| 8842 | 1 | |
| 8377 | 1 |
데이터기준일자
Categorical
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | 2.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 480.0 B |
| 2024-01-15 |
|---|
Length
| Max length | 10 |
|---|---|
| Median length | 10 |
| Mean length | 10 |
| Min length | 10 |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2024-01-15 |
|---|---|
| 2nd row | 2024-01-15 |
| 3rd row | 2024-01-15 |
| 4th row | 2024-01-15 |
| 5th row | 2024-01-15 |
Common Values
| Value | Count | Frequency (%) |
| 2024-01-15 | 44 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 2024-01-15 | 44 |
| 확진월 | 코로나19 확진자 수 | |
|---|---|---|
| 확진월 | 1.000 | 1.000 |
| 코로나19 확진자 수 | 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.
| 확진월 | 코로나19 확진자 수 | 데이터기준일자 | |
|---|---|---|---|
| 0 | 2020-01-01 | 0 | 2024-01-15 |
| 1 | 2020-02-01 | 1 | 2024-01-15 |
| 2 | 2020-03-01 | 9 | 2024-01-15 |
| 3 | 2020-04-01 | 3 | 2024-01-15 |
| 4 | 2020-05-01 | 29 | 2024-01-15 |
| 5 | 2020-06-01 | 27 | 2024-01-15 |
| 6 | 2020-07-01 | 3 | 2024-01-15 |
| 7 | 2020-08-01 | 42 | 2024-01-15 |
| 8 | 2020-09-01 | 34 | 2024-01-15 |
| 9 | 2020-10-01 | 18 | 2024-01-15 |
| 확진월 | 코로나19 확진자 수 | 데이터기준일자 | |
|---|---|---|---|
| 34 | 2022-11-01 | 11843 | 2024-01-15 |
| 35 | 2022-12-01 | 13910 | 2024-01-15 |
| 36 | 2023-01-01 | 8377 | 2024-01-15 |
| 37 | 2023-02-01 | 2024 | 2024-01-15 |
| 38 | 2023-03-01 | 2389 | 2024-01-15 |
| 39 | 2023-04-01 | 2863 | 2024-01-15 |
| 40 | 2023-05-01 | 4188 | 2024-01-15 |
| 41 | 2023-06-01 | 2273 | 2024-01-15 |
| 42 | 2023-07-01 | 5722 | 2024-01-15 |
| 43 | 2023-08-01 | 10173 | 2024-01-15 |