Overview
Brought to you by YData
Dataset statistics
| Number of variables | 2 |
|---|---|
| Number of observations | 2923 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 45.8 KiB |
| Average record size in memory | 16.0 B |
Variable types
| DateTime | 1 |
|---|---|
| TimeSeries | 1 |
Timeseries statistics
| Number of series | 1 |
|---|---|
| Time series length | 2923 |
| Starting point | 0 |
| Ending point | 2922 |
| Period | 1 |
Reproduction
| Analysis started | 2025-05-06 07:01:57.068153 |
|---|---|
| Analysis finished | 2025-05-06 07:01:57.334688 |
| Duration | 0.27 seconds |
| Software version | ydata-profiling vv4.16.1 |
| Download configuration | config.json |
Variables
date
Date
Unique
| Distinct | 2923 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 23.0 KiB |
| Minimum | 2017-03-10 00:00:00 |
|---|---|
| Maximum | 2025-03-10 00:00:00 |
| Invalid dates | 0 |
| Invalid dates (%) | 0.0% |
Histogram with fixed size bins (bins=50)
close
Numeric time series
Non stationary Seasonal
| Distinct | 2803 |
|---|---|
| Distinct (%) | 95.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 27286.762 |
|---|---|
| Minimum | 943 |
| Maximum | 106735 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 23.0 KiB |
Quantile statistics
| Minimum | 943 |
|---|---|
| 5-th percentile | 2879 |
| Q1 | 7841.5 |
| median | 19247 |
| Q3 | 42292.5 |
| 95-th percentile | 69578.6 |
| Maximum | 106735 |
| Range | 105792 |
| Interquartile range (IQR) | 34451 |
Descriptive statistics
| Standard deviation | 24417.989 |
|---|---|
| Coefficient of variation (CV) | 0.89486577 |
| Kurtosis | 0.62905506 |
| Mean | 27286.762 |
| Median Absolute Deviation (MAD) | 12857 |
| Skewness | 1.134126 |
| Sum | 79759206 |
| Variance | 5.9623821 × 108 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 0.8306128181 |
Histogram with fixed size bins (bins=50)
Gap statistics
| number of gaps | 0 |
|---|---|
| min | 0 |
| max | 0 |
| mean | 0 |
| std | 0 |
| Value | Count | Frequency (%) |
| 6419 | 4 | 0.1% |
| 2568 | 3 | 0.1% |
| 3433 | 3 | 0.1% |
| 10494 | 3 | 0.1% |
| 6619 | 3 | 0.1% |
| 8243 | 3 | 0.1% |
| 9501 | 3 | 0.1% |
| 6542 | 3 | 0.1% |
| 4006 | 3 | 0.1% |
| 7311 | 3 | 0.1% |
| Other values (2793) | 2892 |
| Value | Count | Frequency (%) |
| 943 | 1 | |
| 978 | 1 | |
| 982 | 1 | |
| 983 | 1 | |
| 1014 | 2 | |
| 1024 | 1 | |
| 1030 | 1 | |
| 1034 | 1 | |
| 1039 | 2 | |
| 1053 | 1 |
| Value | Count | Frequency (%) |
| 106735 | 1 | |
| 106183 | 1 | |
| 106126 | 1 | |
| 105883 | 1 | |
| 104950 | 1 | |
| 104923 | 1 | |
| 104897 | 1 | |
| 104812 | 1 | |
| 104768 | 1 | |
| 104270 | 1 |
ACF and PACF
Interactions
Missing values
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.
Sample
| date | close | |
|---|---|---|
| 0 | 2017-03-10 | 1286 |
| 1 | 2017-03-11 | 1172 |
| 2 | 2017-03-12 | 1231 |
| 3 | 2017-03-13 | 1239 |
| 4 | 2017-03-14 | 1250 |
| 5 | 2017-03-15 | 1249 |
| 6 | 2017-03-16 | 1186 |
| 7 | 2017-03-17 | 1125 |
| 8 | 2017-03-18 | 982 |
| 9 | 2017-03-19 | 1053 |
| date | close | |
|---|---|---|
| 2913 | 2025-03-01 | 85475 |
| 2914 | 2025-03-02 | 94357 |
| 2915 | 2025-03-03 | 85937 |
| 2916 | 2025-03-04 | 86813 |
| 2917 | 2025-03-05 | 90491 |
| 2918 | 2025-03-06 | 89025 |
| 2919 | 2025-03-07 | 86965 |
| 2920 | 2025-03-08 | 86257 |
| 2921 | 2025-03-09 | 82573 |
| 2922 | 2025-03-10 | 78906 |