Re: Convert Numbers To Pdf
Marika Szala
.numbers files are spreadsheets, created with Apple Numbers, which is part of the iWork package. Numbers is available for Mac OS X and iOS and is a competitor to Microsoft Excel. .numbers files can contain tables, charts, formulas and images.
In an effort to automate our contracting process I am trying to convert numbers to words (preferably dollars and cents) for example $12,345.67 = Twelve Thousand Three Hundred Forty-Five Dollars and Sixty-Seven Cents.
Thanks for responding. I messed around with Zapier for a couple of hours and could get it to work halfway. I can get the Zap out to Google Docs and run the conversion there, but am having trouble bringing the result back into Smartsheet, but I am admitadly a novice at Zapier, so i will keep playing with it.
Good Evening, This should be pretty straight forward but I can't seem to figure out the proper formula, I keep getting the Unparsable. I would like to count the number of instances 0 appears in the No Activity Column. Please see below the Column I am referencing from and any suggestion is much appreciated.
Convert a number to a US English word representation. Convert a number to USD currency and check writing amounts rounded to 2 decimal places. Choose to have words for the numbers in lowercase, uppercase or title case to easily copy and paste to another application.
New to Qlikview... please can someone tell me how I can convert numbers to months to that 1 is displayed as Jan, 2 as Feb etc. I have a listbox with the numbers 1 - 12 in - so how can I convert the numbers to text and still retain the functionality?
I have tried your solution and it works but it is bringing back all the Months whether data is loaded for a month or not. I only have 2014 and only have Jan data but all months are showing is there a way around this? If I have the numbers it will only show 1 even though there is nothing selected
Hi - what is the best way to convert these from string to numbers. I have tried and it keeps returning just the numbers before the comma. I can't remove all punctuation because I also want to keep the decimal place. thanks!
Is there any way to use this in a data cleansing tool? In my case there are about 200 numbers coming in from Excel with commas and decimals being interpreted as strings. Doing a replace 200 times and creating a manual cleansed version of every field is going to be incredibly tedious. I see that you can remove punctuation but that seems to remove the decimal with the comma. The problem is that when I convert these to Float with the Select tool, it stops reading after the comma.
If you'd like a more dynamic solution, the attached workflow Transposes the columns to rows, Fomula runs on the selected columns [now rows], then puts them all back together again. You could turn this into a macro to create a conversion tool.
A very simple way to do this is to place a formula tool and write the function tonumber([column_name]) and then place a select tool immediately after and select one of the numeric data types like double or fixed decimal for that column.
for me it helped to pay attention to the column that I was trying to perform a calculation against. I kept focusing on the column that I had already changed thinking that it was still the issue cause I was still getting an error. Pay attention to both columns metadata and be sure to change your column data type in the formula tool too
A number literal like 37 in JavaScript code is a floating-point value, not an integer. There is no separate integer type in common everyday use. (JavaScript also has a BigInt type, but it's not designed to replace Number for everyday uses. 37 is still a number, not a BigInt.)
The JavaScript Number type is a double-precision 64-bit binary format IEEE 754 value, like double in Java or C#. This means it can represent fractional values, but there are some limits to the stored number's magnitude and precision. Very briefly, an IEEE 754 double-precision number uses 64 bits to represent 3 parts:
The mantissa (also called significand) is the part of the number representing the actual value (significant digits). The exponent is the power of 2 that the mantissa should be multiplied by. Thinking about it as scientific notation:
Many built-in operations that expect numbers first coerce their arguments to numbers (which is largely why Number objects behave similarly to number primitives). The operation can be summarized as follows:
Some operations expect integers, most notably those that work with array/string indices, date/time components, and number radixes. After performing the number coercion steps above, the result is truncated to an integer (by discarding the fractional part). If the number is Infinity, it's returned as-is. If the number is NaN or -0, it's returned as 0. The result is therefore always an integer (which is not -0) or Infinity.
JavaScript has some lower-level functions that deal with the binary encoding of integer numbers, most notably bitwise operators and TypedArray objects. Bitwise operators always convert the operands to 32-bit integers. In these cases, after converting the value to a number, the number is then normalized to the given width by first truncating the fractional part and then taking the lowest bits in the integer's two's complement encoding.
Simply i would like to retain the Numeric values from the column (originally in Character data type). Tried to search for this problem in our community couldn't achieve any relevant information about it.
Converting the table you have is "easy", but in general this sort of conversion isn't. There are so many different values you will have to take into account. Then there are is an issue/feature with how JMP's Num function works. Below is one idea, but this will still leave out many different "numeric" formats, like durations, dates, times, percentages, thousand separators and so on. Also it only removes some of the possible characters which are not related to numbers
I did try your suggestion by removing non-numeric values using Recode option from the column and tried to convert the columns data type from character to Numeric. However still all the values are disappearing as before when the data type is changed to Numeric.
The script will display the hex values for the value in the 6th row of your data table. If the -1.00 isn't in the 6th row, then change the 6 to the row number for one of the rows where the character representation appears to be a valid numeric value, but the cell is being changed to a missing value.
Thanks for the fast reply. I came across simple nodes such as String to Number, but when exported into Excel using Writer Node, the formatting simply goes off. This step right here only works in Knime and not when exported.
If I understand correctly (I have 0 experience with Java) - the solution from @ipazin right here should solve the problem - meaning both fixing commas/dots and reformatting from String to number (double)?
@helpmeplease I think you can have the accounting format in knime only as string since knime will use its own internal storage of numbers. If you want to have this format in Excel. Maybe the way to go forward would be to just export the regular numbers and then change the format in Excel:
Hey, actually the xls cell formatter node seems to do the job. It displays the negative values in brackets, if we select finance from the drop down.
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Here is my Knime output after using the same
Your problem is two-fold.
You say that you have a number holding a date, but the format of that number is in fact a string of the apparent form Ccyymmdd. What you want to do is take that string and read it as a date.
That is quite easy, requiring only that you use an Input() function with an appropriate informat. The structure of the informat is Yymmdd followed by a length. Personally, I use a length of 10 bytes, as if the fractional bars were still in the date, so select "Yymmdd10.".
However, if you have a number of slightly more than 20 million that you are trying to convert, then you are trying to use an informat which expects a string value to read a number. SAS will then warn you of the conversion of a number to a character before it converts the value to a date. You get the result but at the request of an unnecessary message in the log.
Dinosaur curmudgeons like me believe in handling data correctly so that when messages like these occur, we know something unexpected has happened. The conversion of 20 million to a string and then conversion to a date is not unexpected, so we code around these issues by handling the conversion with a format.
Here is the code I used, in the log entry, and as you see, it is a clean interpretation of the data.