= lcBodyText.lastIndexOf("";
highlightEndTag = "";
}
if (treatAsPhrase) {
promptText = "Please enter the phrase you'd like to search for:";
} else {
promptText = "Please enter the words you'd like to search for, separated by spaces:";
}
searchText = prompt(promptText, defaultText);
if (!searchText) {
alert("No search terms were entered. Exiting function.");
return false;
}
return highlightSearchTerms(searchText, treatAsPhrase, true, highlightStartTag, highlightEndTag);
}
/*
* This function takes a referer/referrer string and parses it
* to determine if it contains any search terms. If it does, the
* search terms are passed to the highlightSearchTerms function
* so they can be highlighted on the current page.
*/
function highlightGoogleSearchTerms(referrer)
{
// This function has only been very lightly tested against
// typical Google search URLs. If you wanted the Google search
// terms to be automatically highlighted on a page, you could
// call the function in the onload event of your tag,
// like this:
//
//var referrer = document.referrer;
if (!referrer) {
return false;
}
var queryPrefix = "q=";
var startPos = referrer.toLowerCase().indexOf(queryPrefix);
if ((startPos < 0) || (startPos + queryPrefix.length == referrer.length)) {
return false;
}
var endPos = referrer.indexOf("&", startPos);
if (endPos < 0) {
endPos = referrer.length;
}
var queryString = referrer.substring(startPos + queryPrefix.length, endPos);
// fix the space characters
queryString = queryString.replace(/%20/gi, " ");
queryString = queryString.replace(/\+/gi, " ");
// remove the quotes (if you're really creative, you could search for the
// terms within the quotes as phrases, and everything else as single terms)
queryString = queryString.replace(/%22/gi, "");
queryString = queryString.replace(/\"/gi, "");
return highlightSearchTerms(queryString, false);
}
/*
* This function is just an easy way to test the highlightGoogleSearchTerms
* function.
*/
function testHighlightGoogleSearchTerms()
{
var referrerString = "http://www.google.com/search?q=javascript%20highlight&start=0";
referrerString = prompt("Test the following referrer string:", referrerString);
return highlightGoogleSearchTerms(referrerString);
}
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ADD TO JOB CART TO APPLY
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| Job Title: |
|
Job Description: Job ID(18000) |
Statistician. Surburban based analytics consulting firm is looking for a Jr and Sr Statistician.
The successful candidate will have demonstrated ability to employ a variety of advanced statistical techniques (such as regression, cluster analysis, CHAID, etc.) in order to address client business needs.
Responsibilities:
Identify and recommend appropriate analytic solutions to meet client business needs
Build predictive models to help support our clients in the areas of customer marketing and/or demand generation initiatives, using a broad array of statistical techniques
Work with internal and external client teams
Job Requirements:
Demonstrated experience with predictive modeling and segmentation
2-6 years of experience developing and implementing statistical methodologies in a business environment
Experience working with large-scale customer databases
Proficiency in SAS/Base and Macro
Knowledge of Unix and ability to perform jobs in the Unix operating environment
Proficient in Microsoft Office Suite
Strong analytic thinker with attention to detail
Comfortable working in a team-oriented, deadline driven environment
Degree in econometrics, statistics or related field, advanced degree preferred
Recruiter: Jamie Bernard
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| Salary: |
$60-120k |
Location: |
Burlington, MA |
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| Job Categories: |
Database Marketing, Operations Research & Quantitative Analysis, Statistics/Econometrics |
***