Measurements Plot

For this project, we measure the Time, Number of Clicks and Number of Errors that Clinicians did during our UTA 4. We compute our dataset from UTA 4 by using several tools. One of the most important tools we used for was the well known Plotly. Plotly's Python library is free and Open Source (OS). We set up Plotly to work in our Jupyter Notebooks.

From the Plotly's help page we can read that a Scatter Plot are used to better understand how values are spaced out in different sets of data. In short words, we can say that Scatter plots show how much one variable is affected by another. This put us on understanding the methods behind a Scatter Plot. The following charts are representing our results for the several measurements we did regarding our dataset analysis. For this chart sample, we used both Line and Scatter Plots and Relayout Dropdown instructions.

Our developed Scatter Plots were used to display data points on horizontal and vertical axes. The horizontal axes are the Number of Seconds (Time) that a Clinician took per each Medical Image regarding the diagnosis. The vertical axes are the Number of Seconds that a Clinician took per each Medical Image regarding the diagnosis.

In this first chart, we follow the above description but just showing the three Patients (i.e. P1, P2 and P3) for the Single-Modality (SM) strategy. As we can see, for P1 the values are highly scattered. The P2 has highly concentrated values. Finally, P3 showed to have a reasonable distribution among the plot.

The above, second chart, shows the clusters for the first chart. We show here the Single-Modality (SM) strategy but this time clustering the three Patients (i.e. P1, P2 and P3). For a more interactive sample, we publish the plot on our Plotly's Profile Page. Nevertheless, you can also access our interactive source.

The third chart, shows the three Patients (i.e. P1, P2 and P3) but this time for the Multi-Modality (MM) strategy. Again, the P1 values are highly scattered. However, this time, the P2 has less concentrated values, although, also highly concentrated compared to the other two. Finally, P3 showed to have a reasonable distribution among the plot.

At the end, the fourth chart above shows the clusters for the first chart. We show here the Multi-Modality (MM) strategy but this time clustering the three Patients (i.e. P1, P2 and P3). For a more interactive sample, we publish the plot on our Plotly's Profile Page. Nevertheless, you can also access our interactive source.