My existing data frame having have date column with different date time
11-07-2016 10:54:27
14-07-2016 15:26:06
11/7/2016 8:00
14/7/2016 19:52
I want to change all the values into a same date format
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I'm stuck at this point, I get my data from a stored procedure with the date format as MM/YY, but SSRS sorted my date in a wrong way: 01/2019, 02/2019,..., 12/2019;01/2018, 02/2018,...
So I'd like to do to have my data in the right order.
Since your date is converted to MM/YYYY format, the data is text and not numerical so it's sorted one character at a time rather than by the value.
If you want to sort by year and then by month, you would need a separate SORT option for each that parses the text into separate month and year values.
=RIGHT(Fields!DOB.Value, 4)
This gets the 4 characters from the right of the text which is the year in the data.
=LEFT(Fields!DOB.Value, 2)
LEFT , 2 gets the first two characters of the string - the month in the field.
Create a new column in the query where you convert the string date to a date data-type and sort on that e.g.
select
convert(date, '01/'+ MyDateStringColumn) MyDateColumn
from MyTable
order by MyDateColumn
How to add dynamic column with date column. In first column i have date and in second column i have Integer value. like: Column A has date value and column b is having numbers, Expecting output in date with increase of date.
Example: Column A :- 10/20/2017 , Column B is 5. Output Should be 10/25/2017.
Dynamic date field for MS Access, this works on Access 2007, 2010.
Here is how:
Date1 of type Date/Time
NbrDays of type Number
Date2 of type Calculated
Expression: IIf((IsNull([date1]) Or IsNull([NbrDays])),Null,[date1]+[NbrDays])
Result Type: Date/Time.
This expression handles null values as well, see illustration.
I have a table with 2 columns: date (date) and value(int). How can I write a query to output the date and either 'Up', 'Down', or 'Same' by comparing the previous date's value to the current date's value. (e.g. if 12/01/2016 has a value of 100 and 12/02/2016 has a value of 200 then the output should be 12/02/2016 Up.
http://www.mysqltutorial.org/mysql-tips/mysql-compare-calculate-difference-successive-rows/
See this page. Nice tutorial exactly as per your needs.
I have a matrix table which contains a day(currentdate value) as row group and month as a column group. The column group has two child columns one contains the data represents a value which falls on that particular day of that month and another is a running value. like wise the column values represents for current and previous month. Now the problem is for the month which doesn't have the date 31 contains the data which actually belongs to the particular months start date data. to understand how the data is populating for that particular row I added a column of date field. it shows the start date of the month.
I would like to know how to avoid this automatic data resetting.
Sample image of the issue
I have a column with varchar(50) data type, but it stores date in this format 1/1/2000.
I changed the data type to date using:
alter table test_table modify date date;
but this changed the data values from 1/1/2000 to 1/1/0001 12:00:00 AM.
I want to change the data type to date but the data should not get messed up like this.
Step 1 - add a new column of datatype date.
Step 2 - use str_to_date() to update your new column. This allows you to specify the format you are using.
Step 3 - drop the old column
Step 4 - rename the new column
UPDATE test_table SET column=STR_TO_DATE(column,'%m/%d/%Y')
Just use this and change the format to match what you have,can`t tell what is the day or month.
It will modify your column to date type,no need to recreate another column.
The parameters