Dataset statistics
| Number of variables | 3 |
|---|---|
| Number of observations | 22 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 704.0 B |
| Average record size in memory | 32.0 B |
Variable types
| DateTime | 1 |
|---|---|
| Numeric | 1 |
| Categorical | 1 |
Dataset
| Description | 인천광역시 동구에서 발생한 코로나19관련 확진자 수, 사망자 수 현황으로, 최초발생한 2020년 3월 부터 2021년 12월 까지의 현황을 월별로 제공합니다. |
|---|---|
| Author | 인천광역시 동구 |
| URL | https://data.incheon.go.kr/findData/publicDataDetail?dataId=15098638&srcSe=7661IVAWM27C61E190 |
Reproduction
| Analysis started | 2024-01-28 08:31:58.621785 |
|---|---|
| Analysis finished | 2024-01-28 08:31:58.943759 |
| Duration | 0.32 seconds |
| Software version | ydata-profiling vv4.5.1 |
| Download configuration | config.json |
발생월
Date
UNIQUE
| Distinct | 22 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 308.0 B |
| Minimum | 2020-03-01 00:00:00 |
|---|---|
| Maximum | 2021-12-01 00:00:00 |
Histogram with fixed size bins (bins=22)
확진자수
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 15 |
|---|---|
| Distinct (%) | 68.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 34.636364 |
| Minimum | 0 |
|---|---|
| Maximum | 371 |
| Zeros | 2 |
| Zeros (%) | 9.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 330.0 B |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.05 |
| Q1 | 1.25 |
| median | 6 |
| Q3 | 32.75 |
| 95-th percentile | 116.8 |
| Maximum | 371 |
| Range | 371 |
| Interquartile range (IQR) | 31.5 |
Descriptive statistics
| Standard deviation | 80.38215 |
|---|---|
| Coefficient of variation (CV) | 2.3207445 |
| Kurtosis | 16.063864 |
| Mean | 34.636364 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | 3.8563547 |
| Sum | 762 |
| Variance | 6461.29 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=15)
| Value | Count | Frequency (%) |
| 1 | 4 | |
| 0 | 2 | 9.1% |
| 3 | 2 | 9.1% |
| 4 | 2 | 9.1% |
| 9 | 2 | 9.1% |
| 2 | 1 | 4.5% |
| 11 | 1 | 4.5% |
| 33 | 1 | 4.5% |
| 8 | 1 | 4.5% |
| 32 | 1 | 4.5% |
| Other values (5) | 5 |
| Value | Count | Frequency (%) |
| 0 | 2 | |
| 1 | 4 | |
| 2 | 1 | 4.5% |
| 3 | 2 | |
| 4 | 2 | |
| 8 | 1 | 4.5% |
| 9 | 2 | |
| 11 | 1 | 4.5% |
| 32 | 1 | 4.5% |
| 33 | 1 | 4.5% |
| Value | Count | Frequency (%) |
| 371 | 1 | |
| 120 | 1 | |
| 56 | 1 | |
| 52 | 1 | |
| 41 | 1 | |
| 33 | 1 | |
| 32 | 1 | |
| 11 | 1 | |
| 9 | 2 | |
| 8 | 1 |
사망자수
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 3 |
|---|---|
| Distinct (%) | 13.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 308.0 B |
| 0 | |
|---|---|
| 2 | |
| 4 | 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 4.5% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 19 | |
| 2 | 2 | 9.1% |
| 4 | 1 | 4.5% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 19 | |
| 2 | 2 | 9.1% |
| 4 | 1 | 4.5% |
| 발생월 | 확진자수 | 사망자수 | |
|---|---|---|---|
| 발생월 | 1.000 | 1.000 | 1.000 |
| 확진자수 | 1.000 | 1.000 | 0.779 |
| 사망자수 | 1.000 | 0.779 | 1.000 |
| 확진자수 | 사망자수 | |
|---|---|---|
| 확진자수 | 1.000 | 0.812 |
| 사망자수 | 0.812 | 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.
| 발생월 | 확진자수 | 사망자수 | |
|---|---|---|---|
| 0 | 2020-03 | 2 | 0 |
| 1 | 2020-04 | 0 | 0 |
| 2 | 2020-05 | 1 | 0 |
| 3 | 2020-06 | 1 | 0 |
| 4 | 2020-07 | 0 | 0 |
| 5 | 2020-08 | 11 | 0 |
| 6 | 2020-09 | 1 | 0 |
| 7 | 2020-10 | 1 | 0 |
| 8 | 2020-11 | 3 | 0 |
| 9 | 2020-12 | 33 | 2 |
| 발생월 | 확진자수 | 사망자수 | |
|---|---|---|---|
| 12 | 2021-03 | 9 | 0 |
| 13 | 2021-04 | 9 | 0 |
| 14 | 2021-05 | 4 | 0 |
| 15 | 2021-06 | 3 | 0 |
| 16 | 2021-07 | 32 | 0 |
| 17 | 2021-08 | 41 | 0 |
| 18 | 2021-09 | 56 | 0 |
| 19 | 2021-10 | 52 | 0 |
| 20 | 2021-11 | 120 | 2 |
| 21 | 2021-12 | 371 | 4 |