We have a date column which has a lot of Null Values. We want to replace these null values with "N/A", however for date columns I dont see aliases where I can change it with a click of a button.
So I wrote the following calculation :
IFNULL(str([Arrival Date]),"N/A")
Since this calculation is now a string, I cannot change the format of the date like I could for any normal date column.
Since this new calculated field has string values, I know i cannot convert it back to date. So how can i now handle the date formats ?
BLANK is the default value for NULLin Tableau.
Set how tableau treats these values
Right Click Measure> Format
Select Special Values (bottom most) and
change the value to NA
See this screenshot
In case it's a discrete value refer to Tableau KB: Replacing Null Literals
Related
I have table ABC in which I have column Z of datatype Date. The format of the data is YYYYMMDD. Now I am looking to convert the above format to YYYY-MON-DD format. Can someone help?
You can use to_char
TO_CHAR(Z,'YYYY-MON-DD')
Depending on what the purpose of the reformatting is, you can either explicitly cast it to a VARCHAR/CHAR and define the format, or you can change your display format to however you'd like to see all dates:
ALTER SESSION SET DATE_OUTPUT_FORMAT = 'YYYY-MON-DD';
It's important to understand that if the data is in a DATE field, then it is stored as a date, and the format of the date is dependent on your viewing preferences, not how it is stored.
Since the value of the date field is stored as a number, you have to convert it to date.
ALTER SESSION SET DATE_OUTPUT_FORMAT = 'YYYY-MON-DD';
select to_date(to_char( z ), 'YYYYMMDD');
(adding this answer to summarize and resolve the question - since the clues and answers are scattered through comments)
The question stated that column Z is of type DATE, but it really seems to be a NUMBER.
Then before parsing a number like 20201017 to a date, first you need to transform it to a STRING.
Once the original number is parsed to a date, it can be represented as a new string formatted as desired.
WITH data AS (
SELECT 20201017 AS z
)
SELECT TO_CHAR(TO_DATE(TO_CHAR(z), 'YYYYMMDD'), 'YYYY-MON-DD')
FROM data;
# 2020-Oct-17
I have a table with a column called that contains text. Most of the values are years. However, some have the value "present" to represent groups that are still currently active. I want to convert those values to today's year, and convert the column type to date (specifically year type). I want to avoid creating a new column if possible.
Please see below for the DAX language that worked.
= Table.ReplaceValue(#"Extracted Year2",null,DateTime.LocalNow() ,Replacer.ReplaceValue,{"Disbanded"})
I am extracting three values (server, region, max(date)) from my postgresql> But I want to extract an additional 4th field which should be the numerical addition of 1 to 3rd field. I am unable to use date add function as in the database date field is defined as an integer.
date type in DB
date|integer|not null
tried using cast and date add function
MAX(s.date)::date + cast('1 day' as interval)
Error Received
ERROR: cannot cast type integer to date
Required output
select server, region, max(alarm_date), next date from table .....
testserver, europe, 20190901, 20190902
testserver2, europe, 20191001, 20191002
next date value should be the addition to alarm_date
To convert an integer like 20190901 to a date, use something like
to_date(CAST(s.date AS text), 'YYYYMMDD')
It is a bad idea to store dates as integers like that. Using the date data type will prevent corrupted data from entering the database, and it will make all operations natural.
First solution that came to my mind:
select (20190901::varchar)::date + 1
Which output 2019-09-02 as type date.
Other solutions can be found here.
I have troubles converting HubSpot UNIX timestamp to date. Timestamp is stored as text value.
Value looks like this:
1549324800000
My logic was first to convert the number to bigint and later converted it to date using:
TO_CHAR(TO_TIMESTAMP(properties__vape_station__value)), 'DD/MM/YYYY')
What would be the best way to achieve converting UNIX Timestamp in text type to date in PostgreSQL 11.
You can cast the value in that column to a bigint and then use to_timestamp.
But apparently that column also stores empty strings rather than NULL values if no value is present, so you need to take that into account:
to_timestamp(nullif(trim(properties__vape_station__value),'')::bigint/1000)
This would still fail however if anything else than a number is stored in that column.
Column 1 : I have this date-time format in one column = 2018-10-08T04:30:23Z
Column 3 : I extracted date with formula = =LEFT(A11,10) and changed column format to date.
Column 32 : today(). Just to make sure both date columns match
Now when I want to compare both dates
Column 4 : =IF(C11=D11,TRUE(),FALSE())
It does not work. What did I do wrong?
One option using formulas only would be to use Excel's DATE function, which takes three parameters:
=DATE(YEAR, MONTH, DAY)
Use the following formula to extract a date from your timestamp:
=DATE(LEFT(A1,4), MID(A1,6,2), MID(A1,9,2))
This assumes that the timestamp is in cell A1, with the format in your question. Now, comparing this date value against TODAY() should work, if the original timestamp were also from today.
Should be worth trying:
=1*LEFT(A1,10)=TODAY()
May depend upon your configuration. Without format conversion (the 1*) you are trying to compare text (all string functions return Text) with a Number.