Sign inDependencies in Dataset #11193
Entries (observed variables)
| No. | Name |
|---|---|
| 01 | Frame, Frame number |
| 02 | Time,s, Time after the start of recording |
| 03 | Area, µm^2, Area of the particle image |
| 04 | Perimeter, µm, Perimeter of the particle image |
| 05 | Mean_Diameter, µm, Mean diameter of the particle image |
| 06 | Circularity, Circularity of the particle image value 1 indicates perfect circle |
| 07 | Mean_Intensity, pixel, The average intensity of all pixels within the particle image |
| 08 | X, pixel, The number of pixels in the longest continuous row along the x-axis of the particle image |
| 09 | Y, pixel, The number of pixels in the longest continuous row along the y-axis of the particle image |
| 10 | Gradient_Mean, The average quantity for the gradient around the edge of the particle image |
| 11 | Aspect_Ratio, The ratio of the length over the width of the particle image |
| 12 | Intensity_SD, pixel, The standard deviation of intensity for all pixels in the particle image |
| 13 | Relative_Intensity, The local background intensity relative to the particle shadow intensity |
Dependencies of the observed variables
The interactive table provides a visualization of the dependencies of this dataset's entries (variables) which will hopefully assist you to understand the datasets structure.
Most datasets are simple, e.g. like 10 entries depending on 1 entry. But there are other datasets which are far more complex; with relationships between various entries and even reversed dependencies.
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Direction of relationships
| Entry A | Entry B | |
|---|---|---|
| (=depends on) |
Explanation
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