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
We have been periodically tracking the statistical trends for the number of new jobless claims in the United States, at both the national level and also at the subnational level. Today, we're going to update what we're seeing in the data.
Starting with the national data, we see that overall, the current trend for new jobless claims, which has steadily held since the end of June 2014, coinciding with the widespread fall of oil prices, has generally meant 300 to 400 fewer new jobless claims being filed each week.
But that falling trend hasn't been shared everywhere. Looking at the eight states whose economies include significant, high-cost oil production operations, we see what has been a nearly flat trend, as the economic benefits from lower oil prices, which have reduced the number of layoffs in other industries, have been largely offset by increased layoffs from the oil industry.
Since October 2015, we see that the number of layoffs have skewed above the overall trend line for these eight states (Colorado, North Dakota, Ohio, Oklahoma, Pennsylvania, Texas, West Virginia and Wyoming), but not so much as yet to clearly indicate a break in the overall trend.
By contrast, we did observe a break in trend for the other 42 states from late November 2015 into early January 2016, which appears to have since dissipated, as the overall falling trend of 400-500 fewer new jobless claims being filed each week appears to have resumed.
We previously observed that much of the break in trend took place in states whose economies include significant contributions from the agriculture and finance industries, which have since returned to their overall trend.
Which brings us to the one state where strange things are happening with the data it has been reporting each week: California.
We've revisited our entire analysis for this state, where the data reported since January 2016 suggests that California's Economic Development Department experienced significant difficulty processing initial unemployment insurance claims being filed from the Thanksgiving holiday weekend in November 2015 through early January 2016, which we can confirm by the statistically improbable large swings in the number of claims being processed each week during this time.
California's Economic Development Department has previously had significant issues with processing claims, which made the news over a year ago before the department's staff seemed to overcome its problems, but what we see in the data being reported each week indicates that they had a recurrence, which appears to have continued through 2 April 2016.
And because those newer problems haven't been reported anywhere else in the media that we can find, means that instead of just analyzing information, we're actually breaking news that no other news organization has reported!
What can we say? We scoop the entire mainstream media from time to time!
Labels: data visualization, jobs
Welcome to the blogosphere's toolchest! Here, unlike other blogs dedicated to analyzing current events, we create easy-to-use, simple tools to do the math related to them so you can get in on the action too! If you would like to learn more about these tools, or if you would like to contribute ideas to develop for this blog, please e-mail us at:
ironman at politicalcalculations
Thanks in advance!
Closing values for previous trading day.
This site is primarily powered by:
The tools on this site are built using JavaScript. If you would like to learn more, one of the best free resources on the web is available at W3Schools.com.