Dataset statistics
| Number of variables | 2 |
|---|---|
| Number of observations | 361 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 5.8 KiB |
| Average record size in memory | 16.4 B |
Variable types
| DateTime | 1 |
|---|---|
| Numeric | 1 |
DATE has unique values | Unique |
PORANGUSDM has unique values | Unique |
Reproduction
| Analysis started | 2023-09-12 08:35:39.783504 |
|---|---|
| Analysis finished | 2023-09-12 08:35:40.154146 |
| Duration | 0.37 seconds |
| Software version | ydata-profiling v0.0.dev0 |
| Download configuration | config.json |
DATE
Date
UNIQUE
| Distinct | 361 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.9 KiB |
| Minimum | 1990-01-01 00:00:00 |
|---|---|
| Maximum | 2020-01-01 00:00:00 |
Histogram with fixed size bins (bins=50)
PORANGUSDM
Real number (ℝ)
UNIQUE
| Distinct | 361 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.1942047 |
| Minimum | 0.56105 |
|---|---|
| Maximum | 2.1725476 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.9 KiB |
Quantile statistics
| Minimum | 0.56105 |
|---|---|
| 5-th percentile | 0.73718182 |
| Q1 | 0.92443182 |
| median | 1.15725 |
| Q3 | 1.4287143 |
| 95-th percentile | 1.8645238 |
| Maximum | 2.1725476 |
| Range | 1.6114976 |
| Interquartile range (IQR) | 0.50428247 |
Descriptive statistics
| Standard deviation | 0.34730873 |
|---|---|
| Coefficient of variation (CV) | 0.29082848 |
| Kurtosis | -0.40021663 |
| Mean | 1.1942047 |
| Median Absolute Deviation (MAD) | 0.25077381 |
| Skewness | 0.54059072 |
| Sum | 431.10789 |
| Variance | 0.12062335 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1.913636364 | 1 | 0.3% |
| 1.502880952 | 1 | 0.3% |
| 1.435095238 | 1 | 0.3% |
| 1.410522727 | 1 | 0.3% |
| 1.40285 | 1 | 0.3% |
| 1.329619048 | 1 | 0.3% |
| 1.462978261 | 1 | 0.3% |
| 1.373815789 | 1 | 0.3% |
| 1.374657895 | 1 | 0.3% |
| 1.288340909 | 1 | 0.3% |
| Other values (351) | 351 |
| Value | Count | Frequency (%) |
| 0.56105 | 1 | |
| 0.5766190476 | 1 | |
| 0.594547619 | 1 | |
| 0.6096842105 | 1 | |
| 0.6121304348 | 1 | |
| 0.628425 | 1 | |
| 0.6674047619 | 1 | |
| 0.6692045455 | 1 | |
| 0.6726590909 | 1 | |
| 0.6910789474 | 1 |
| Value | Count | Frequency (%) |
| 2.172547619 | 1 | |
| 2.03602381 | 1 | |
| 2.012690476 | 1 | |
| 2.012275 | 1 | |
| 2.00325 | 1 | |
| 1.999818182 | 1 | |
| 1.985261905 | 1 | |
| 1.9806 | 1 | |
| 1.978236842 | 1 | |
| 1.976625 | 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.
| DATE | PORANGUSDM | |
|---|---|---|
| 0 | 1990-01-01 | 1.913636 |
| 1 | 1990-02-01 | 1.940289 |
| 2 | 1990-03-01 | 1.922636 |
| 3 | 1990-04-01 | 1.960125 |
| 4 | 1990-05-01 | 1.949477 |
| 5 | 1990-06-01 | 1.864524 |
| 6 | 1990-07-01 | 1.833381 |
| 7 | 1990-08-01 | 1.724717 |
| 8 | 1990-09-01 | 1.445579 |
| 9 | 1990-10-01 | 1.230826 |
| DATE | PORANGUSDM | |
|---|---|---|
| 351 | 2019-04-01 | 1.084357 |
| 352 | 2019-05-01 | 0.986045 |
| 353 | 2019-06-01 | 1.027250 |
| 354 | 2019-07-01 | 1.014955 |
| 355 | 2019-08-01 | 0.993318 |
| 356 | 2019-09-01 | 1.006300 |
| 357 | 2019-10-01 | 0.984370 |
| 358 | 2019-11-01 | 0.981600 |
| 359 | 2019-12-01 | 0.975905 |
| 360 | 2020-01-01 | 0.969095 |