Dataset statistics
| Number of variables | 3 |
|---|---|
| Number of observations | 100 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 2.7 KiB |
| Average record size in memory | 27.3 B |
Variable types
| Categorical | 1 |
|---|---|
| Numeric | 2 |
Dataset
| Description | 샘플 데이터 |
|---|---|
| Author | 한국수자원공사 |
| URL | https://www.bigdata-environment.kr/user/data_market/detail.do?id=bd7f71f0-1fe5-11eb-bc79-3b11eb915d6d |
Reproduction
| Analysis started | 2023-12-10 12:09:47.579167 |
|---|---|
| Analysis finished | 2023-12-10 12:09:48.426939 |
| Duration | 0.85 seconds |
| Software version | ydata-profiling vv4.5.1 |
| Download configuration | config.json |
시설명
Categorical
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | 1.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 932.0 B |
| 고령정수장 |
|---|
Length
| Max length | 5 |
|---|---|
| Median length | 5 |
| Mean length | 5 |
| Min length | 5 |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 고령정수장 |
|---|---|
| 2nd row | 고령정수장 |
| 3rd row | 고령정수장 |
| 4th row | 고령정수장 |
| 5th row | 고령정수장 |
Common Values
| Value | Count | Frequency (%) |
| 고령정수장 | 100 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 고령정수장 | 100 |
공급날짜
Real number (ℝ)
| Distinct | 20 |
|---|---|
| Distinct (%) | 20.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 20210410 |
| Minimum | 20210401 |
|---|---|
| Maximum | 20210420 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.0 KiB |
Quantile statistics
| Minimum | 20210401 |
|---|---|
| 5-th percentile | 20210402 |
| Q1 | 20210406 |
| median | 20210410 |
| Q3 | 20210415 |
| 95-th percentile | 20210419 |
| Maximum | 20210420 |
| Range | 19 |
| Interquartile range (IQR) | 9.5 |
Descriptive statistics
| Standard deviation | 5.7953308 |
|---|---|
| Coefficient of variation (CV) | 2.8674978 × 10-7 |
| Kurtosis | -1.2060745 |
| Mean | 20210410 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | 0 |
| Sum | 2.021041 × 109 |
| Variance | 33.585859 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=20)
| Value | Count | Frequency (%) |
| 20210414 | 5 | 5.0% |
| 20210407 | 5 | 5.0% |
| 20210406 | 5 | 5.0% |
| 20210405 | 5 | 5.0% |
| 20210404 | 5 | 5.0% |
| 20210402 | 5 | 5.0% |
| 20210401 | 5 | 5.0% |
| 20210408 | 5 | 5.0% |
| 20210403 | 5 | 5.0% |
| 20210419 | 5 | 5.0% |
| Other values (10) | 50 |
| Value | Count | Frequency (%) |
| 20210401 | 5 | |
| 20210402 | 5 | |
| 20210403 | 5 | |
| 20210404 | 5 | |
| 20210405 | 5 | |
| 20210406 | 5 | |
| 20210407 | 5 | |
| 20210408 | 5 | |
| 20210409 | 5 | |
| 20210410 | 5 |
| Value | Count | Frequency (%) |
| 20210420 | 5 | |
| 20210419 | 5 | |
| 20210418 | 5 | |
| 20210417 | 5 | |
| 20210416 | 5 | |
| 20210415 | 5 | |
| 20210414 | 5 | |
| 20210413 | 5 | |
| 20210412 | 5 | |
| 20210411 | 5 |
공급량
Real number (ℝ)
UNIQUE
| Distinct | 100 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 20473.77 |
| Minimum | 10242 |
|---|---|
| Maximum | 35664 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.0 KiB |
Quantile statistics
| Minimum | 10242 |
|---|---|
| 5-th percentile | 12031.85 |
| Q1 | 13967.25 |
| median | 19556 |
| Q3 | 23646.25 |
| 95-th percentile | 34834.8 |
| Maximum | 35664 |
| Range | 25422 |
| Interquartile range (IQR) | 9679 |
Descriptive statistics
| Standard deviation | 7513.5739 |
|---|---|
| Coefficient of variation (CV) | 0.36698536 |
| Kurtosis | -0.63835293 |
| Mean | 20473.77 |
| Median Absolute Deviation (MAD) | 5182 |
| Skewness | 0.71542309 |
| Sum | 2047377 |
| Variance | 56453793 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 24354 | 1 | 1.0% |
| 20184 | 1 | 1.0% |
| 22874 | 1 | 1.0% |
| 19528 | 1 | 1.0% |
| 14464 | 1 | 1.0% |
| 12662 | 1 | 1.0% |
| 14000 | 1 | 1.0% |
| 14736 | 1 | 1.0% |
| 14221 | 1 | 1.0% |
| 24396 | 1 | 1.0% |
| Other values (90) | 90 |
| Value | Count | Frequency (%) |
| 10242 | 1 | |
| 10732 | 1 | |
| 11248 | 1 | |
| 11682 | 1 | |
| 11744 | 1 | |
| 12047 | 1 | |
| 12120 | 1 | |
| 12298 | 1 | |
| 12435 | 1 | |
| 12520 | 1 |
| Value | Count | Frequency (%) |
| 35664 | 1 | |
| 35616 | 1 | |
| 35600 | 1 | |
| 35384 | 1 | |
| 35192 | 1 | |
| 34816 | 1 | |
| 34400 | 1 | |
| 34392 | 1 | |
| 33992 | 1 | |
| 33640 | 1 |
| 공급날짜 | 공급량 | |
|---|---|---|
| 공급날짜 | 1.000 | 0.000 |
| 공급량 | 0.000 | 1.000 |
| 공급날짜 | 공급량 | |
|---|---|---|
| 공급날짜 | 1.000 | -0.005 |
| 공급량 | -0.005 | 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.
| 시설명 | 공급날짜 | 공급량 | |
|---|---|---|---|
| 0 | 고령정수장 | 20210414 | 24354 |
| 1 | 고령정수장 | 20210420 | 15024 |
| 2 | 고령정수장 | 20210411 | 10242 |
| 3 | 고령정수장 | 20210414 | 13800 |
| 4 | 고령정수장 | 20210417 | 13384 |
| 5 | 고령정수장 | 20210420 | 20592 |
| 6 | 고령정수장 | 20210410 | 31816 |
| 7 | 고령정수장 | 20210411 | 11248 |
| 8 | 고령정수장 | 20210413 | 34392 |
| 9 | 고령정수장 | 20210414 | 14872 |
| 시설명 | 공급날짜 | 공급량 | |
|---|---|---|---|
| 90 | 고령정수장 | 20210406 | 35664 |
| 91 | 고령정수장 | 20210406 | 15433 |
| 92 | 고령정수장 | 20210406 | 15440 |
| 93 | 고령정수장 | 20210406 | 20224 |
| 94 | 고령정수장 | 20210407 | 14182 |
| 95 | 고령정수장 | 20210408 | 35384 |
| 96 | 고령정수장 | 20210407 | 14632 |
| 97 | 고령정수장 | 20210408 | 13866 |
| 98 | 고령정수장 | 20210420 | 23737 |
| 99 | 고령정수장 | 20210420 | 13917 |