duplicates

This question already has an answer here: Potential Duplicates Detection, with 3 Severity Level 1 answer This question based on the answer of my question yesterday. To solve my problem, Jean-François Corbett suggested a Levenshtein distance approach. Then I found this code somewhere to get Levenshtein distance percentage. Public Function GetLevenshteinPercentMatch( _ ByVal string1 As String, ByVal string2 As String, _ Optional Normalised As Boolean = False) As Single Dim iLen As Integer If Normalised = False Then string1 = UCase$(WorksheetFunction.Trim(string1)) string2 = UCase$

I have a sheet that consists of 3 columns and thousands of rows. The columns are First-Name, Last-Name, and E-Mail. not all of the entries (rows) have data in the E-Mail column - for some it's just left empty. The sheet contains "duplicates", which means two rows with both the same First name, and the same last name. I'd like to remove the duplicates in the following manner: If one of the duplicate entries has E-Mail address, remove the other. If both have E-Mail address, remove one of them (whichever one. say first, for example). And the same if both don't have E-Mail. How can I do this task?

There are some similar topics in stackoverflow, but still I didn't succeed to rename my duplicate rows: CREATE TABLE IF NOT EXISTS `products` ( `product_id` int(11) unsigned NOT NULL AUTO_INCREMENT, `product_code` varchar(32) NOT NULL, PRIMARY KEY (`product_id`) ) ENGINE=MyISAM DEFAULT CHARSET=utf8 AUTO_INCREMENT=4 ; INSERT INTO `products` (`product_id`, `product_code`) VALUES (1, 'A'), (2, 'B'), (3, 'A'); Here first and third rows have same items. I just want to add a suffix like "Copy". And the result would be: product_id product_code ----------- -------------- 1 A 2 B 3 A Copy So how can I

In a list I have a few links: <ul class="dropdowner" id="coll-filter"> <li><a href="#black">Black</a></li> <li><a href="#white">White</a></li> <li><a href="#blue">Blue</a></li> </ul> Another output I have uses + instead of # in the url Ie: <ul class="dropdowner" id="coll-filter"> <li><a href="+black">Black</a></li> <li><a href="+white">White</a></li> <li><a href="+blue">Blue</a></li> </ul> If I click the link White then "#white" is inserted into my URL. (mydomain.com/#white) I want to avoid duplicates so is there a way to check if "#white" already exist in URL and if so don't allow the link to

I have some problem with my Java code. I'm supposed to use loops and not any other method. Say that my ArrayLis t contains of [Dog Cat Dog Dog Cat Dog Horse] My goal is also to remove the copies of Dog and Cat so my final results equals [Dog Cat Horse] public void removeDouble(){ int counter = 0; for (int i = 0 ; i < animals.size(); i++) { for (int j = 1+i; j < animals.size() ; j++) //don't start on the same word or you'll eliminate it. if ( animals.get(j).equals( animals.get(i) ) ) { animals.remove(animals.get(j)); counter++; } } } It feels like the "logic" is correct but my code does not

i try to remove non-duplicate data and keep the duplicate data i've done some coding, but nothing happen, oh. it's error. lol this is my code. Sub mukjizat2() Dim desc As String Dim sapnbr As Variant Dim shortDesc As String X = 1 i = 2 desc = Worksheets("process").Cells(i, 3).Value sapnbr = Worksheets("process").Cells(i, 1).Value shortDesc = Worksheets("process").Cells(i, 2).Value Do While Worksheets("process").Cells(i, 1).Value <> "" If desc = Worksheets("process").Cells(i + 1, 3).Value <> Worksheets("process").Cells(i, 3) Or Worksheets("process").Cells(i + 1, 2) <> Worksheets("process")

Starting from @AndrewGustar answer/code: Expand data.frame by creating duplicates based on group condition 1) What about if I have the input data.frame with ID values not in sequence and that can also duplicate theirselves? Example data.frame: df = read.table(text = 'ID Day Count Count_group 18 1933 6 11 33 1933 6 11 37 1933 6 11 18 1933 6 11 16 1933 6 11 11 1933 6 11 111 1932 5 8 34 1932 5 8 60 1932 5 8 88 1932 5 8 18 1932 5 8 33 1931 3 4 13 1931 3 4 56 1931 3 4 23 1930 1 1 6 1800 6 10 37 1800 6 10 98 1800 6 10 52 1800 6 10 18 1800 6 10 76 1800 6 10 55 1799 4 6 6 1799 4 6 52 1799 4 6 133 1799