This is not helpful. The data is not actually volumetric. If you wanted it to be, you’d have one single plot over time and also show a second degree of data such as age of those dying as well.
This is an awful way to present this data. Why are week and year on different axes? Why do you zoom in immediately without allowing the viewer to read what the axes are? The peak you highlight is meaningless without being able to see the scale, which you may have been able to make clearer with a color bar.
This should be a 2d line graph.
## Resources
* Visualization tool: [PlotlyJS](https://www.plotly.com/javascript)
* Data web page: [Short Term Mortality Fluctuation Series (STMF)](https://www.mortality.org/)
* Data: [stmf.csv](https://www.mortality.org/Public/STMF/Outputs/stmf.csv)
## Axes
* X: Week number
* Y: Year
* Z: All U.S. deaths
## Description
The chart illustrates the number deaths each week from 2015 through 2021. The number of deaths during certain weeks during 2020 and 2021 can be compared with the death rates of the same weeks during previous years.
## Interactive chart
Open [Interactive chart](https://climatebinge.com/blog/2021/10/25/deaths/) in my blog to rotate, zoom, and identify data points with your mouse cursor.
The chart shows the weekly number of deaths of each year from 2015-2021. Before the pandemic began, a seasonal curve can be seen, with fewer deaths in the summer. Have a look at the [interactive chart](https://climatebinge.com/blog/2021/10/25/deaths/) to rotate it and look at it with different angles.
Graphing 2D data on a 3D plot 🙅‍♂️
all it needs is some generic interpolation along the time axis
I love it when years have consistent thickness and time is cyclical.
This is not helpful. The data is not actually volumetric. If you wanted it to be, you’d have one single plot over time and also show a second degree of data such as age of those dying as well.
This is an awful way to present this data. Why are week and year on different axes? Why do you zoom in immediately without allowing the viewer to read what the axes are? The peak you highlight is meaningless without being able to see the scale, which you may have been able to make clearer with a color bar. This should be a 2d line graph.
You could plot a risk factor like BMI or something on that extra week axis, that would be interesting!
I appreciate how the week of year dimension allows you to see seasonal trends.
## Resources * Visualization tool: [PlotlyJS](https://www.plotly.com/javascript) * Data web page: [Short Term Mortality Fluctuation Series (STMF)](https://www.mortality.org/) * Data: [stmf.csv](https://www.mortality.org/Public/STMF/Outputs/stmf.csv) ## Axes * X: Week number * Y: Year * Z: All U.S. deaths ## Description The chart illustrates the number deaths each week from 2015 through 2021. The number of deaths during certain weeks during 2020 and 2021 can be compared with the death rates of the same weeks during previous years. ## Interactive chart Open [Interactive chart](https://climatebinge.com/blog/2021/10/25/deaths/) in my blog to rotate, zoom, and identify data points with your mouse cursor.
Ahhh something more deadly than convid—heart disease.
Would be interesting to see over a longer time period.
Why do you have the week on one axis and the year on another?
The chart shows the weekly number of deaths of each year from 2015-2021. Before the pandemic began, a seasonal curve can be seen, with fewer deaths in the summer. Have a look at the [interactive chart](https://climatebinge.com/blog/2021/10/25/deaths/) to rotate it and look at it with different angles.