currency

I'm trying to read into R a csv file that contains information on political contributions. From what I understand, the columns by default are imported as factors, but I need the the amount column ('CTRIB_AMT' in the dataset) to be imported as a numeric column so I can run a variety of functions that wouldn't work for factors. The column is formatted as a currency with a "$" as prefix. I used a simple read command to import the file initially: contribs <- read.csv('path/to/file') And then tried to convert the CTRIB_AMT from currency to numeric: as.numeric(as.character(sub("$","",contribs$CTRIB

I have some price values to display in my page. I am writing a function which takes the float price and returns the formatted currency val with currency code too.. For example, fnPrice(1001.01) should print $ 1,000.01 The easiest answer is number_format() . echo "$ ".number_format($value, 2); If you want your application to be able to work with multiple currencies and locale-aware formatting ( 1.000,00 for some of us Europeans for example), it becomes a bit more complex. There is money_format() but it doesn't work on Windows and relies on setlocale() , which is rubbish in my opinion, because

I want to store 3.50 into a mysql table. I have a float that I store it in, but it stores as 3.5, not 3.50. How can I get it to have the trailing zero? Morfildur Do not store money values as float, use the DECIMAL or NUMERIC type: Documentation for MySQL Numeric Types EDIT & clarification: Float values are vulnerable to rounding errors are they have limited precision so unless you do not care that you only get 9.99 instead of 10.00 you should use DECIMAL/NUMERIC as they are fixed point numbers which do not have such problems. It's not generally a good idea to store money as a float as rounding

I have a column in a dataframe as follows: COL1 $54,345 $65,231 $76,234 How do I convert it into this: COL1 54345 65231 76234 The way I tried it at first was: df$COL1<-as.numeric(as.character(df$COL1)) That didn't work because it said NA's were introduced. Then I tried it like this: df$COL1<-as.numeric(gsub("\\$","",as.character(df$COL1))) And the same this happened. Any ideas? The reason why the gsub didn't work was there was , in the column, which is still non-numeric. So when convert to 'numeric' with as.numeric , all the non-numeric elements are converted to NA . So, we need to remove both

How to move the symbol euro from the front of the value to after it? Example: {{product.price | currency : "€"}} will produce € 12.00 but I would like 12.00 € You don't have to hack the currency filter! AngularJS has a great support for i18n/l10n. The currency filter uses the default currency symbol from the locale service and positions it based on the locale settings. So it's all about supporting and setting the right locale. <script src="i18n/angular-locale_de-de.js"></script> If you are using npm or bower all locales are available via the angular-i18n package . <span>{{ product.price |