to your HTML Add class="sortable" to any table you'd like to make sortable Click on the headers to sort Thanks to many, many people for contributions and suggestions. Licenced as X11: http://www.kryogenix.org/code/browser/licence.html This basically means: do what you want with it. */ var stIsIE = /*@cc_on!@*/false; sorttable = { init: function() { // quit if this function has already been called if (arguments.callee.done) return; // flag this function so we don't do the same thing twice arguments.callee.done = true; // kill the timer if (_timer) clearInterval(_timer); if (!document.createElement || !document.getElementsByTagName) return; sorttable.DATE_RE = /^(\d\d?)[\/\.-](\d\d?)[\/\.-]((\d\d)?\d\d)$/; forEach(document.getElementsByTagName('table'), function(table) { if (table.className.search(/\bsortable\b/) != -1) { sorttable.makeSortable(table); } }); }, makeSortable: function(table) { if (table.getElementsByTagName('thead').length == 0) { // table doesn't have a tHead. Since it should have, create one and // put the first table row in it. the = document.createElement('thead'); the.appendChild(table.rows[0]); table.insertBefore(the,table.firstChild); } // Safari doesn't support table.tHead, sigh if (table.tHead == null) table.tHead = table.getElementsByTagName('thead')[0]; if (table.tHead.rows.length != 1) return; // can't cope with two header rows // Sorttable v1 put rows with a class of "sortbottom" at the bottom (as // "total" rows, for example). This is B&R, since what you're supposed // to do is put them in a tfoot. So, if there are sortbottom rows, // for backwards compatibility, move them to tfoot (creating it if needed). sortbottomrows = []; for (var i=0; i
Following our reporting that Arizona has become the new epicenter for coronavirus cases in the U.S., we've been paying close attention to the number of deaths attributed to COVID-19 infections in the state. We've found the state is reporting two sets of data for those deaths.
The first is a cumulative daily tally of reported deaths that many news outlets use in their reporting, from which a day-to-day change in the number of these newly reported cumulative deaths may be calculated.
But the day-to-day changes in the cumulative total doesn't communicate when these deaths actually occurred. For that data, Arizona's Department of Health Services is reporting time series data on its COVID-19 dashboard, in the Deaths section, as a bar chart that is updated and revised daily. From what we have observed, it takes about a week for a given day's death tally to be relatively finalized, after which it may still be subject to revision as the state's information about their actual timing becomes more complete.
In the following chart, we've taken data from both series to see how they compare to each other, where we've discovered that the day-to-day changes in the cumulative tally may be providing an unreliable picture of the timing of COVID-19 deaths in Arizona.
The biggest deviation occurs within the timeframe we've previously projected would show a change in trend following the lifting of Arizona's statewide lockdown order, where instead of declining then rising sharply in the predicted range, COVID-19 deaths instead occurred at a relatively steady pace before ticking upward in the predicted range.
Based on what we're seeing in the more accurate time series data, the reopening of Arizona's economy had a small effect on the number of COVID-19 deaths taking place 20 to 28 days later, with the state experiencing a slow uptrend in deaths, as might be expected. This situation is far better than what occurred in states like New York or other states that copied its policies, which saw COVID-19 deaths skyrocket as their number of cases raced past the population-adjusted levels Arizona is now reaching, which is attributable to the different policy choices made by each state's government officials.
We're still short of when we can see what impact the George Floyd protests in the state may have had upon the trend for COVID-19 deaths, where the state's more accurate time series data for these deaths is still very incomplete. We should have a much better picture of the impact of that event within the next one to two weeks.
Labels: coronavirus, data visualization
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