Dataset statistics
| Number of variables | 3 |
|---|---|
| Number of observations | 101 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 2.6 KiB |
| Average record size in memory | 26.3 B |
Variable types
| DateTime | 2 |
|---|---|
| Numeric | 1 |
Dataset
| Description | 서울특별시 관악구 여성안심귀가 스카우트 이용현황 데이터로 이용연월, 이용실적(건), 데이터기준일자 등을 제공합니다 |
|---|---|
| Author | 서울특별시 관악구 |
| URL | https://www.data.go.kr/data/15064126/fileData.do |
Reproduction
| Analysis started | 2023-12-16 15:26:26.155405 |
|---|---|
| Analysis finished | 2023-12-16 15:26:27.843782 |
| Duration | 1.69 second |
| Software version | ydata-profiling vv4.5.1 |
| Download configuration | config.json |
이용연월
Date
UNIQUE
| Distinct | 101 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 940.0 B |
| Minimum | 2015-01-01 00:00:00 |
|---|---|
| Maximum | 2023-07-01 00:00:00 |
Histogram with fixed size bins (bins=50)
이용실적(건)
Real number (ℝ)
| Distinct | 99 |
|---|---|
| Distinct (%) | 98.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1140.1386 |
| Minimum | 350 |
|---|---|
| Maximum | 3071 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.0 KiB |
Quantile statistics
| Minimum | 350 |
|---|---|
| 5-th percentile | 457 |
| Q1 | 775 |
| median | 1098 |
| Q3 | 1407 |
| 95-th percentile | 1909 |
| Maximum | 3071 |
| Range | 2721 |
| Interquartile range (IQR) | 632 |
Descriptive statistics
| Standard deviation | 477.8695 |
|---|---|
| Coefficient of variation (CV) | 0.41913281 |
| Kurtosis | 2.1937691 |
| Mean | 1140.1386 |
| Median Absolute Deviation (MAD) | 323 |
| Skewness | 0.99729915 |
| Sum | 115154 |
| Variance | 228359.26 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 684 | 2 | 2.0% |
| 1163 | 2 | 2.0% |
| 648 | 1 | 1.0% |
| 1165 | 1 | 1.0% |
| 1363 | 1 | 1.0% |
| 1301 | 1 | 1.0% |
| 775 | 1 | 1.0% |
| 765 | 1 | 1.0% |
| 875 | 1 | 1.0% |
| 954 | 1 | 1.0% |
| Other values (89) | 89 |
| Value | Count | Frequency (%) |
| 350 | 1 | |
| 374 | 1 | |
| 390 | 1 | |
| 402 | 1 | |
| 451 | 1 | |
| 457 | 1 | |
| 466 | 1 | |
| 487 | 1 | |
| 508 | 1 | |
| 562 | 1 |
| Value | Count | Frequency (%) |
| 3071 | 1 | |
| 2468 | 1 | |
| 2462 | 1 | |
| 2012 | 1 | |
| 1966 | 1 | |
| 1909 | 1 | |
| 1861 | 1 | |
| 1799 | 1 | |
| 1763 | 1 | |
| 1756 | 1 |
데이터기준일자
Date
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | 1.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 940.0 B |
| Minimum | 2023-08-14 00:00:00 |
|---|---|
| Maximum | 2023-08-14 00:00:00 |
Histogram with fixed size bins (bins=1)
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 | 2015-01 | 648 | 2023-08-14 |
| 1 | 2015-02 | 508 | 2023-08-14 |
| 2 | 2015-03 | 861 | 2023-08-14 |
| 3 | 2015-04 | 1097 | 2023-08-14 |
| 4 | 2015-05 | 1105 | 2023-08-14 |
| 5 | 2015-06 | 1351 | 2023-08-14 |
| 6 | 2015-07 | 1491 | 2023-08-14 |
| 7 | 2015-08 | 2462 | 2023-08-14 |
| 8 | 2015-09 | 3071 | 2023-08-14 |
| 9 | 2015-10 | 2468 | 2023-08-14 |
| 이용연월 | 이용실적(건) | 데이터기준일자 | |
|---|---|---|---|
| 91 | 2022-10 | 684 | 2023-08-14 |
| 92 | 2022-11 | 717 | 2023-08-14 |
| 93 | 2022-12 | 626 | 2023-08-14 |
| 94 | 2023-01 | 390 | 2023-08-14 |
| 95 | 2023-02 | 402 | 2023-08-14 |
| 96 | 2023-03 | 451 | 2023-08-14 |
| 97 | 2023-04 | 562 | 2023-08-14 |
| 98 | 2023-05 | 466 | 2023-08-14 |
| 99 | 2023-06 | 457 | 2023-08-14 |
| 100 | 2023-07 | 374 | 2023-08-14 |