I have a SSRS report with full of number fields. I would like to have that to be displayed as in one decimal. i tried to use F1. it gives me only one decimal points in html rendering, but in excel exported version it shows 2 decimal points.
How can i have just one decimal point both ecxel and html rendering.
Please comment.
Thanks in advance
San
Use N1 as your Format Property setting. N denotes Numeric formatting, the 1 denotes the number of decimal places, so N2 would give you 102.02, for example. This should carry to excel as it is rendered in html.
Alternatively, you could use the format code #,##0.00, which will give you the thousands separator and two decimal places. '#' indicates optional characters, whilst '0' indicates mandatory characters (nulls will be replaced by '0.00').
in 2012 version: FormatNumber(Fields!col.Value,2)
Right click on the text box that contains the value you would like manipulate, select TEXT BOX PROPERTIES. Navigate to the Number tab, select Number and the # of Decimal places you want the box to allow for.
Related
I have two fields, both have the size set to double in the table properties. When I subtract one field from the other some of the results are displayed as scientific notation when I click in the cell and others just show regular standard format to decimal places.
The data in both fields was updated with Round([Field01],2) and Round([Filed2],2) so the numbers in the fields should not be any longer than 2 decimal places.
Here's an example:
Field1 = 7.01
Field2 = 7.00
But when I subtract Field1 from Field2 the access display shows 0.01 but when I click on the result it displays, -9.99999999999979E-03. So of course, when I try to filter on all results that have 0.01 the query comes back empty because it thinks the result is -9.99999999999979E-03.
Even stranger is if Field1 = 1.02 and Field2 = 1.00, the result is 0.02 and when I click on the result the display still shows 0.02 and I can filter on all results that equal 0.02.
Why would MS Access treat numbers in the same query differently? Why is it displaying in Scientific Notation and not filtering?
Thanks for any support.
Take this simple code in Access (or even Excel) and run it!
Public Sub TestAdd()
Dim MyNumber As Single
Dim I As Integer
For I = 1 To 10
MyNumber = MyNumber + 1.01
Debug.Print MyNumber
Next I
End Sub
Here is the output of the above:
1.01
2.02
3.03
4.04
5.05
6.06
7.070001
8.080001
9.090001
10.1
You can see that after just 7 additions rounding is occurring!
Note how after JUST 7 simple little additions Access is now spitting out wrong numbers and has rounding errors!
More amazing? The above code runs the SAME in Excel!
Ok, I am sure I have your attention now!
If I recall, the FIRST day and first class in computing science? Computers don't store exact numbers when using floating point numbers.
So, then how is it possible that the WHOLE business community using Excel, or Access, or in fact your desktop calculator not come crashing down?
You mean Access cannot add up 7 simple little numbers without having errors?
How can I even do payroll then?
The basic concept and ALL you need to know here is that computers store real (floating) numbers only as approximate.
And integer values are stored exact.
so, there are several approaches here, and in fact if you writing ANY business software that needs to work with money values? And not suffer rounding errors?
Then you better off to choose what we called some kind of "scaled" integer. Behind the scenes, the computer does NOT use floating numbers, but uses a integer value, and the also has a "decimal" position.
In fact, in a lot of older business BASIC languages, or others? We often had to do the scaling on our own. (so, we would choose a large integer format). In fact, this "scaling" feature still exists in Access!!! (and you see it in the format options).
So, two choices here. If you don't want "tiny" rounding errors, then use "currency" data type. This may, or may not be sufficient for you, since it only allows a max of 4 decimal places. But in most cases, it should suffice. And if you need "more" decimal places, then you can multiply the values by 1000, and then divide by 1000 when done the calculations.
however, try changing the column type to currency and that should work. (this type of data is how your desktop calculator also works - and thus you not see funny rounding errors as a result (in most cases).
but, the FIRST rule of the day? First computer course?
Computers do not store exact numbers for floating point numbers - they are approximations, and are subject to rounding errors. Now, if you really are using double for the table, then I don't think these rounding errors should show up - since you have "so many decimal places" available.
But, I would try using currency data type - it is a scaled integer, or so called packed decimal.
You can ALSO choose to use a packed decimal in Access, and it supports out to 28 digits, and you can set the "scale" (the decimal point location). However, since you can't declare a decimal type in VBA, then I would suggest that in the table (and in VBA code, use currency data types).
If you need more then 4 decimal points, then consider scaling the currency in your code, or perhaps at that point, you consider using a packed decimal type in the table, but values in VBA will have to use the "variant" type, and they will correctly take on the data column setting if used in code and assigned a value from the table(s) in question.
Needless to say, the first day you start dealing with computers, and that first day ANYTHING beyond being a "end user"? Well, this is your first lesson of the day!
"The data in both fields was updated with Round([Field01],2) and Round([Filed2],2) so the numbers in the fields should not be any longer than 2 decimal places." instead of rounding up(which i think is the reason for the scientific notation) you can use number field as data type , then under field size choose double, then under decimal places choose 2.
I have column in tableau with following values:
1234
3456
6789
camp-1
camp-2
camp-3
I only want to show filter with values
camp-1
camp-2
camp-3
How can I only select the alphabetic values in filter in tableau?
Your example is not clear about what you want to include and what you want to exclude. To explain better, I took an elaborated example
Case-1 If you want to search/filter for digits at start, use this calculated field
REGEXP_MATCH([Field1], '^[0-9]')
Case-2 If you want to search for numbers anywhere, use this
REGEXP_MATCH([Field1], '(.*)[0-9]')
Case-3 If digits only are required
REGEXP_MATCH([Field1], '^[0-9]+$')
case-4 for alphabet at start use this
REGEXP_MATCH([Field1], '^[:alpha:]')
Results of all matches are shown below
Note Combining numbers anywhere AND alphabet at start you can filter out case1, case2 and case3 only.
Good Luck
If the Tableau column contains a mixture of numbers and text, the column will be a text column and all content will be considered as text. This reduces the problem to that of identifying specific rows that contain non-numeric values.
This requires some string manipulation and comparison. If you know that the structure of the content in those rows is predictable (eg the first character is always a letter when there are non numeric characters in the row) then a simple equation will filter on those rows:
if ascii(left([Text And Numbers],1) )>57 then 'text' else 'number' END
This exploits the observation that the ASCII decimal code for the digit 9 is 57 and most of the ASCII characters with higher codes are letters or punctuation (which is a fair assumption if nothing other than numbers, letters or punctuation are present in your data).
Obviously, if letters and numbers could appear anywhere in the string you need a more complex function but Tableau provides the option to use regular expressions which can code much more complex text analysis like is any alphabetic character present in a string (see this for some ideas of the appropriate regex expressions).
In my database some fields (amount, balance) are assigned as floating value, but now i have a problem with that .if the amount is 1.56 it will take 1.6
then i alter the table using Round(amount,2)
still it shows the same problem.
if anybody know please help me.
The float fields must be declared as float(some_integer, 1) to show the behaviour you described. The first integer in such a declaration tells MySQL how much digits should be visible alltogether, the ones left to the decimal point + the ones right to it. To have 3 digits to the left and 2 to the right of the decimal point you would declare it as float(5,2).
Like Doan Cuong already mentioned it would be better if you would choose decimal data type.
See the different behaviour of it live here.
To quote the manual:
The DECIMAL and NUMERIC types store exact numeric data values. These types are used when it is important to preserve exact precision, for example with monetary data.
The FLOAT and DOUBLE types represent approximate numeric data values.
For additional info about the data types read more here.
Is there a way to set an input mask in MS Access 2007 so that certain elements are optional? UK postcodes can be in a number of formats: LL00 0LL or L00 0LL or even LL00 L00LL. For this particular assignment, I need only worry about the first two formats.
So, is there a way for me to set the input mask so that the first letter is optional?
Found an answer here and can just use the following:
LA0# oLL
A defines a letter or digit and # defines a digit or a space and removes the space when inserted into database.
Don't bother. Just use a text field and let the users insert the blanks. Put some code in checking for approriate alphabetic vs numeric characters.
The advntage is this approach will work for any country.
Datatype of field in the DB is FLOAT and the value is 18.7. I'd like to store and display this on page as 18.70. Whenever I enter the extra 0 it still only stores it as 18.7
How can I store the extra 0 ? I can change the data type of the field.
In a FLOAT column, what MySQL stores for 18.7, is actually:
01000001 10010101 10011001 10011010
which, being retrieved from the DB and converted back into your display format, is 18.7.
In reality, the stored value is a binary fraction represented by the decimal number 18.70000076293945 which you can see by issuing this query:
CREATE TABLE t_f (value FLOAT);
INSERT
INTO t_f
VALUES (18.7);
SELECT CAST(value AS DECIMAL(30, 16))
FROM t_f;
IEEE-754 representation of number stores them as binary fractions, so a value like 0.1 can only be represented with continued fraction and hence be not exact.
DECIMAL, on the other hand, stores decimal digits, packing 9 digits into 4 bytes.
Floating point types do not store the number of insignificant zeros on the left side of a number before decimal digit or on the right side of the number after the decimal digit. You'll need to use a string-based type (or store the precision in a separate field) if you want to store the exact numeric string entered by the user and be able to distinguish 12.7 from 12.70. You can, however, round things that you display by two digits in your application.
if two decimal points needed use:
decimal(n,2); where n>=2
the decimal data type will persist the decimal points formatting and gives more accurate results than float and double data types.
Are you attempting to store a currency as a float? If so, please use a decimal with more decimal digits than 2.
You really want fixed-point arithmetic on currencies.
This is just very broad rule of thumb and my own observation, but in regular business logic as serialized in a database, you almost never want floating point. I know there are lots of exceptions, but I'm suspicious whenever I see a float typed column in a table because of this. I'd be interested in what others have found.