Charting Kovid: Data purely for data’s sake

I started tracking COVID – especially daily numbers. I did this task for several reasons: I enjoy the data, I wasn’t going anywhere for a while, but more specifically so that I could discuss it intelligently.

There are clearly noticeable trends in the last seven months. “Waves,” as some call them, is clearly visible in the chart.

In this white paper I would like to provide a chart developed from my nightly tracking. No conclusion is drawn, no comment is given, and no opinion is given. This is purely data for data sake. You should draw your own conclusions, provide your own commentary and develop your opinion.


As stated, the information used to develop these charts has been tracked and recorded immediately since March 21. All information used as part of this tracking program is taken from, Johns Hopkins and several state websites. Although each of these information sources serves to provide the correct data, neither I nor I can guarantee the information.

Because a single day does not constitute a trend, these charts apply a 14-day rolling average. The use of a 14-day average removes the extreme spikes and valleys that are present in daily calculations and even spikes are found in the 7-day rolling average. When this 14-day rolling average is not used, the description of the chart specifies that a different method is applied.

The time period tracked in these charts is a slightly longer period of seven months from 21 March to 31 October.

The only comment I provide is a description of what information is provided by the chart.

Shall we start I hope you find this information interesting if not valuable.

Daily new affairs

It calculates the daily case, again based on a 14-day rolling average.

Daily death

The following charts are daily deaths implementing the 14-day rolling average.

Daily mortality

It shows daily mortality. The mortality rate presented in this chart is calculated by dividing the number of deaths on any given day based on the number of new cases for that day. Although not an accurate indication of rolling death rate, as this chart uses 14-day rolling average cases and deaths, it is somewhat representative of actual mortality.


The following is a 14-day rolling recovery average.

New cases than recovery

Two data points are compared in the following chart: 1) daily new cases; And 2) daily recoveries. Daily new cases are represented by the blue line and the orange line represents track recovery. Again, these are using a 14-day rolling average.

Joint comparison

The three main data points are compared in the following chart: 1) the total reported cases; 2) total recovery; And 3) total active. UNLIKE the former chart, this chart does not use the 14-day rolling average – this chart is the actual daily number.

The blue line is the total reported cases; Gray tracks active cases; And orange indicates recoveries.

American percent of total deaths

According to WorldOMeter, COVID has impacted 216 countries and territories – indeed worldwide. America has about 4.29% of the world’s population. This chart tracks what percentage of worldwide COVID deaths in the US.

Like previous comparison charts, this chart is not on 14-day rolling, it tracks daily percentages from March 20 to October 31.

Fully chart

The following three charts provide monthly information rather than a 14-day rolling average or even a daily charting number. The following charts compare new cases, new deaths and new recoveries for the months of April through October.

New monthly affairs

Monthly new deaths

Monthly new seizures

Overall comparison

This final chart is essentially a tracking of overall COVID numbers from March 21 through March 31. This chart compares all numbers to the population of America. Colors applicable codes are:

  • Dark Blue: American Population
  • Red / Orange: Total number of reported cases
  • Yellow: Total Recovery
  • Gray: Active Cases
  • Light Blue: Total Deaths

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