Dataset statistics
| Number of variables | 3 |
|---|---|
| Number of observations | 28 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 832.0 B |
| Average record size in memory | 29.7 B |
Variable types
| DateTime | 1 |
|---|---|
| Numeric | 1 |
| Categorical | 1 |
Dataset
| Description | 경상남도 의령군의 코로나19 확진자수를 제공하는 데이터 입니다. 2020년 1월부터 2023년 2월까지 월별 코로나 확진자 수를 제공합니다. |
|---|---|
| Author | 경상남도 의령군 |
| URL | https://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15099691 |
Reproduction
| Analysis started | 2024-04-06 08:04:19.004554 |
|---|---|
| Analysis finished | 2024-04-06 08:04:19.564785 |
| Duration | 0.56 seconds |
| Software version | ydata-profiling vv4.5.1 |
| Download configuration | config.json |
연월
Date
UNIQUE
| Distinct | 28 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 356.0 B |
| Minimum | 2020-01-01 00:00:00 |
|---|---|
| Maximum | 2022-04-01 00:00:00 |
Histogram with fixed size bins (bins=28)
확진자수
Real number (ℝ)
ZEROS
| Distinct | 12 |
|---|---|
| Distinct (%) | 42.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 155.14286 |
| Minimum | 0 |
|---|---|
| Maximum | 3354 |
| Zeros | 11 |
| Zeros (%) | 39.3% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 384.0 B |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 4.25 |
| 95-th percentile | 495.4 |
| Maximum | 3354 |
| Range | 3354 |
| Interquartile range (IQR) | 4.25 |
Descriptive statistics
| Standard deviation | 639.11384 |
|---|---|
| Coefficient of variation (CV) | 4.1195183 |
| Kurtosis | 25.687205 |
| Mean | 155.14286 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 5.0021853 |
| Sum | 4344 |
| Variance | 408466.5 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=12)
| Value | Count | Frequency (%) |
| 0 | 11 | |
| 1 | 5 | |
| 4 | 2 | 7.1% |
| 3 | 2 | 7.1% |
| 2 | 1 | 3.6% |
| 5 | 1 | 3.6% |
| 26 | 1 | 3.6% |
| 32 | 1 | 3.6% |
| 10 | 1 | 3.6% |
| 606 | 1 | 3.6% |
| Other values (2) | 2 | 7.1% |
| Value | Count | Frequency (%) |
| 0 | 11 | |
| 1 | 5 | |
| 2 | 1 | 3.6% |
| 3 | 2 | 7.1% |
| 4 | 2 | 7.1% |
| 5 | 1 | 3.6% |
| 10 | 1 | 3.6% |
| 26 | 1 | 3.6% |
| 32 | 1 | 3.6% |
| 290 | 1 | 3.6% |
| Value | Count | Frequency (%) |
| 3354 | 1 | |
| 606 | 1 | |
| 290 | 1 | |
| 32 | 1 | |
| 26 | 1 | |
| 10 | 1 | |
| 5 | 1 | |
| 4 | 2 | |
| 3 | 2 | |
| 2 | 1 |
데이터기준일
Categorical
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | 3.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 356.0 B |
| 2022-04-04 |
|---|
Length
| Max length | 10 |
|---|---|
| Median length | 10 |
| Mean length | 10 |
| Min length | 10 |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2022-04-04 |
|---|---|
| 2nd row | 2022-04-04 |
| 3rd row | 2022-04-04 |
| 4th row | 2022-04-04 |
| 5th row | 2022-04-04 |
Common Values
| Value | Count | Frequency (%) |
| 2022-04-04 | 28 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 2022-04-04 | 28 |
| 연월 | 확진자수 | |
|---|---|---|
| 연월 | 1.000 | 1.000 |
| 확진자수 | 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.
| 연월 | 확진자수 | 데이터기준일 | |
|---|---|---|---|
| 0 | 2020-01 | 0 | 2022-04-04 |
| 1 | 2020-02 | 0 | 2022-04-04 |
| 2 | 2020-03 | 0 | 2022-04-04 |
| 3 | 2020-04 | 0 | 2022-04-04 |
| 4 | 2020-05 | 0 | 2022-04-04 |
| 5 | 2020-06 | 0 | 2022-04-04 |
| 6 | 2020-07 | 1 | 2022-04-04 |
| 7 | 2020-08 | 0 | 2022-04-04 |
| 8 | 2020-09 | 2 | 2022-04-04 |
| 9 | 2020-10 | 0 | 2022-04-04 |
| 연월 | 확진자수 | 데이터기준일 | |
|---|---|---|---|
| 18 | 2021-07 | 5 | 2022-04-04 |
| 19 | 2021-08 | 26 | 2022-04-04 |
| 20 | 2021-09 | 4 | 2022-04-04 |
| 21 | 2021-10 | 3 | 2022-04-04 |
| 22 | 2021-11 | 3 | 2022-04-04 |
| 23 | 2021-12 | 32 | 2022-04-04 |
| 24 | 2022-01 | 10 | 2022-04-04 |
| 25 | 2022-02 | 606 | 2022-04-04 |
| 26 | 2022-03 | 3354 | 2022-04-04 |
| 27 | 2022-04 | 290 | 2022-04-04 |