Dataset statistics
| Number of variables | 3 |
|---|---|
| Number of observations | 43 |
| 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 | 28.1 B |
Variable types
| DateTime | 2 |
|---|---|
| Numeric | 1 |
Dataset
| Description | 서울특별시 관악구 안심귀가스카우트 이용현황에 관한 데이터로 2019년부터 2022년까지의 이용실적, 데이터기준일자를 포함하고 있습니다. |
|---|---|
| Author | 서울특별시 관악구 |
| URL | https://www.data.go.kr/data/3078214/fileData.do |
Reproduction
| Analysis started | 2023-12-23 07:26:45.068465 |
|---|---|
| Analysis finished | 2023-12-23 07:26:47.469849 |
| Duration | 2.4 seconds |
| Software version | ydata-profiling vv4.5.1 |
| Download configuration | config.json |
이용연월
Date
UNIQUE
| Distinct | 43 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 476.0 B |
| Minimum | 2019-06-01 00:00:00 |
|---|---|
| Maximum | 2022-12-01 00:00:00 |
Histogram with fixed size bins (bins=43)
이용실적(건)
Real number (ℝ)
ZEROS
| Distinct | 40 |
|---|---|
| Distinct (%) | 93.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 943.5814 |
| Minimum | 0 |
|---|---|
| Maximum | 1497 |
| Zeros | 2 |
| Zeros (%) | 4.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 519.0 B |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 498.1 |
| Q1 | 699.5 |
| median | 979 |
| Q3 | 1194 |
| 95-th percentile | 1454.2 |
| Maximum | 1497 |
| Range | 1497 |
| Interquartile range (IQR) | 494.5 |
Descriptive statistics
| Standard deviation | 346.37547 |
|---|---|
| Coefficient of variation (CV) | 0.36708594 |
| Kurtosis | 0.83012414 |
| Mean | 943.5814 |
| Median Absolute Deviation (MAD) | 269 |
| Skewness | -0.6624581 |
| Sum | 40574 |
| Variance | 119975.96 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=40)
| Value | Count | Frequency (%) |
| 1163 | 2 | 4.7% |
| 0 | 2 | 4.7% |
| 684 | 2 | 4.7% |
| 1255 | 1 | 2.3% |
| 612 | 1 | 2.3% |
| 967 | 1 | 2.3% |
| 987 | 1 | 2.3% |
| 1002 | 1 | 2.3% |
| 1057 | 1 | 2.3% |
| 1030 | 1 | 2.3% |
| Other values (30) | 30 |
| Value | Count | Frequency (%) |
| 0 | 2 | |
| 487 | 1 | |
| 598 | 1 | |
| 612 | 1 | |
| 626 | 1 | |
| 669 | 1 | |
| 671 | 1 | |
| 684 | 2 | |
| 690 | 1 | |
| 709 | 1 |
| Value | Count | Frequency (%) |
| 1497 | 1 | |
| 1459 | 1 | |
| 1456 | 1 | |
| 1438 | 1 | |
| 1407 | 1 | |
| 1363 | 1 | |
| 1301 | 1 | |
| 1255 | 1 | |
| 1252 | 1 | |
| 1235 | 1 |
데이터기준일자
Date
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | 2.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 476.0 B |
| Minimum | 2023-08-01 00:00:00 |
|---|---|
| Maximum | 2023-08-01 00:00:00 |
Histogram with fixed size bins (bins=1)
| 이용연월 | 이용실적(건) | |
|---|---|---|
| 이용연월 | 1.000 | 1.000 |
| 이용실적(건) | 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.
| 이용연월 | 이용실적(건) | 데이터기준일자 | |
|---|---|---|---|
| 0 | 2019-06 | 1255 | 2023-08-01 |
| 1 | 2019-07 | 1459 | 2023-08-01 |
| 2 | 2019-08 | 1407 | 2023-08-01 |
| 3 | 2019-09 | 1456 | 2023-08-01 |
| 4 | 2019-10 | 1497 | 2023-08-01 |
| 5 | 2019-11 | 1438 | 2023-08-01 |
| 6 | 2019-12 | 1235 | 2023-08-01 |
| 7 | 2020-01 | 1163 | 2023-08-01 |
| 8 | 2020-02 | 942 | 2023-08-01 |
| 9 | 2020-03 | 0 | 2023-08-01 |
| 이용연월 | 이용실적(건) | 데이터기준일자 | |
|---|---|---|---|
| 33 | 2022-03 | 612 | 2023-08-01 |
| 34 | 2022-04 | 684 | 2023-08-01 |
| 35 | 2022-05 | 669 | 2023-08-01 |
| 36 | 2022-06 | 709 | 2023-08-01 |
| 37 | 2022-07 | 690 | 2023-08-01 |
| 38 | 2022-08 | 671 | 2023-08-01 |
| 39 | 2022-09 | 710 | 2023-08-01 |
| 40 | 2022-10 | 684 | 2023-08-01 |
| 41 | 2022-11 | 717 | 2023-08-01 |
| 42 | 2022-12 | 626 | 2023-08-01 |