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Projects to analyse data produced by the Sato Lab.

My analysis on the data produced for this paper integrates the data behind Figures 1A and 1B.

Figures 1A and 1B

The tool used is Power BI. This is an interactive data visualisation tool, that allows interactive filtering and exploration of the data. I have used this to first reproduce similar charts to those shown in the paper, and then explored a series of alternative presentations of the same data.

Reproduction

This page follows the style of the original figures. Being interactive, the user can filter the list of subvariants (Inoculum), or cross-filter by selecting a column in the charts. The tables below present the detailed data.

Link to interactive DataViz

Click to view and interact with the report

Column Charts, Power BI Theme

This page presents the same charts as the Repro page, but the theme applied is a Power BI built-in blue gradient: "Storm". From a dataviz perspective, I think this does a better job of suggesting the progressive evolution of the virus. The strong contrasting colors in the original figure area a bit distracting - I would normally not use Black, Grey or Red for a series in a visualisation. Black and Red have a higher visual impact than other colours, and Grey has a lower visual impact. So just the assignment of colours is favouring some Inoculum over others, from a visualisation perspective.

Link to interactive DataViz

Click to view and interact with the report

Line Charts

This page swaps the column charts for Line Charts. These allow a dynamic Y-axis minimum, makes the relative changes and growth more obvious among the variants. I also used a continuous X-axis, which is a more accurate representation of the Hours measured. I chose slightly darker gradients from the "Storm" palette for the Inoculum series, to better separate them visually.

Link to interactive DataViz

Click to view and interact with the report

Animated Bar Chart Races

This page presents Animated Bar Chart Races to contrast the relative progressions. I included inferred data for the 12, 36 and 60 hour observations, to align the timing of the 3 race charts. While of course these are less accurate to view a specific data point, they do give a great "feel" for the progression of each infection metric over the 72-hour period that was measured.

Link to interactive DataViz

Click to view and interact with the report

Link to watch the video

Watch the video

Audio Credit: Swarm_Bees_outdoor_stereo by leonseptavaux -- https://freesound.org/s/573839/ -- License: Attribution 4.0

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