Dataset statistics
| Number of variables | 3 |
|---|---|
| Number of observations | 26 |
| Missing cells | 5 |
| Missing cells (%) | 6.4% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 782.0 B |
| Average record size in memory | 30.1 B |
Variable types
| DateTime | 1 |
|---|---|
| Text | 1 |
| Categorical | 1 |
Dataset
| Description | 2020년 2월부터 2023년 4월까지 경상남도 밀양시의 코로나19 확진자 및 사망자 수 현황에 대한 데이터를 제공합니다. |
|---|---|
| Author | 경상남도 밀양시 |
| URL | https://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15098719 |
Reproduction
| Analysis started | 2024-04-18 01:58:28.001235 |
|---|---|
| Analysis finished | 2024-04-18 01:58:29.184927 |
| Duration | 1.18 second |
| Software version | ydata-profiling vv4.5.1 |
| Download configuration | config.json |
월별
Date
UNIQUE
| Distinct | 26 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 340.0 B |
| Minimum | 2020-02-01 00:00:00 |
|---|---|
| Maximum | 2022-03-01 00:00:00 |
Histogram with fixed size bins (bins=26)
확진자수
Text
MISSING
| Distinct | 17 |
|---|---|
| Distinct (%) | 81.0% |
| Missing | 5 |
| Missing (%) | 19.2% |
| Memory size | 340.0 B |
Length
| Max length | 6 |
|---|---|
| Median length | 5 |
| Mean length | 2.0952381 |
| Min length | 1 |
Characters and Unicode
| Total characters | 44 |
|---|---|
| Distinct characters | 10 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 14 ? |
|---|---|
| Unique (%) | 66.7% |
Sample
| 1st row | 4 |
|---|---|
| 2nd row | 1 |
| 3rd row | 2 |
| 4th row | 1 |
| 5th row | 1 |
| Value | Count | Frequency (%) |
| 1 | 3 | |
| 44 | 2 | 9.5% |
| 2 | 2 | 9.5% |
| 31 | 1 | 4.8% |
| 4 | 1 | 4.8% |
| 21 | 1 | 4.8% |
| 2,516 | 1 | 4.8% |
| 190 | 1 | 4.8% |
| 219 | 1 | 4.8% |
| 43 | 1 | 4.8% |
| Other values (7) | 7 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 13 | |
| 2 | 7 | |
| 4 | 7 | |
| 9 | 4 | 9.1% |
| 6 | 3 | 6.8% |
| 0 | 3 | 6.8% |
| 5 | 2 | 4.5% |
| 3 | 2 | 4.5% |
| , | 2 | 4.5% |
| 7 | 1 | 2.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 42 | |
| Other Punctuation | 2 | 4.5% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 13 | |
| 2 | 7 | |
| 4 | 7 | |
| 9 | 4 | 9.5% |
| 6 | 3 | 7.1% |
| 0 | 3 | 7.1% |
| 5 | 2 | 4.8% |
| 3 | 2 | 4.8% |
| 7 | 1 | 2.4% |
Other Punctuation
| Value | Count | Frequency (%) |
| , | 2 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 44 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 13 | |
| 2 | 7 | |
| 4 | 7 | |
| 9 | 4 | 9.1% |
| 6 | 3 | 6.8% |
| 0 | 3 | 6.8% |
| 5 | 2 | 4.5% |
| 3 | 2 | 4.5% |
| , | 2 | 4.5% |
| 7 | 1 | 2.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 44 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 13 | |
| 2 | 7 | |
| 4 | 7 | |
| 9 | 4 | 9.1% |
| 6 | 3 | 6.8% |
| 0 | 3 | 6.8% |
| 5 | 2 | 4.5% |
| 3 | 2 | 4.5% |
| , | 2 | 4.5% |
| 7 | 1 | 2.3% |
사망자수
Categorical
IMBALANCE
| Distinct | 5 |
|---|---|
| Distinct (%) | 19.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 340.0 B |
| <NA> | |
|---|---|
| 3 | 1 |
| 1 | 1 |
| 2 | 1 |
| 22 | 1 |
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 3.5769231 |
| Min length | 1 |
Unique
| Unique | 4 ? |
|---|---|
| Unique (%) | 15.4% |
Sample
| 1st row | <NA> |
|---|---|
| 2nd row | <NA> |
| 3rd row | <NA> |
| 4th row | <NA> |
| 5th row | <NA> |
Common Values
| Value | Count | Frequency (%) |
| <NA> | 22 | |
| 3 | 1 | 3.8% |
| 1 | 1 | 3.8% |
| 2 | 1 | 3.8% |
| 22 | 1 | 3.8% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| na | 22 | |
| 3 | 1 | 3.8% |
| 1 | 1 | 3.8% |
| 2 | 1 | 3.8% |
| 22 | 1 | 3.8% |
| 월별 | 확진자수 | 사망자수 | |
|---|---|---|---|
| 월별 | 1.000 | 1.000 | 1.000 |
| 확진자수 | 1.000 | 1.000 | 1.000 |
| 사망자수 | 1.000 | 1.000 | 1.000 |
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
| 월별 | 확진자수 | 사망자수 | |
|---|---|---|---|
| 0 | 2020-02 | 4 | <NA> |
| 1 | 2020-03 | 1 | <NA> |
| 2 | 2020-04 | <NA> | <NA> |
| 3 | 2020-05 | <NA> | <NA> |
| 4 | 2020-06 | <NA> | <NA> |
| 5 | 2020-07 | <NA> | <NA> |
| 6 | 2020-08 | 2 | <NA> |
| 7 | 2020-09 | 1 | <NA> |
| 8 | 2020-10 | <NA> | <NA> |
| 9 | 2020-11 | 1 | <NA> |
| 월별 | 확진자수 | 사망자수 | |
|---|---|---|---|
| 16 | 2021-06 | 6 | <NA> |
| 17 | 2021-07 | 43 | <NA> |
| 18 | 2021-08 | 44 | <NA> |
| 19 | 2021-09 | 21 | <NA> |
| 20 | 2021-10 | 31 | <NA> |
| 21 | 2021-11 | 17 | <NA> |
| 22 | 2021-12 | 219 | 1 |
| 23 | 2022-01 | 190 | <NA> |
| 24 | 2022-02 | 2,516 | 2 |
| 25 | 2022-03 | 16,940 | 22 |