Convert a number column into a time format in Power BI - powerbi

I'm looking for a way to convert a decimal number into a valid HH:mm:ss format.
I'm importing data from an SQL database.
One of the columns in my database is labelled Actual Start Time.
The values in my database are stored in the following decimal format:
73758 // which translates to 07:27:58
114436 // which translates to 11:44:36
I cannot simply convert this Actual Start Time column into a Time format in my Power BI import as it returns errors for some values, saying it doesn't recognise 73758 as a valid 'time'. It needs to have a leading zero for cases such as 73758.
To combat this, I created a new Text column with the following code to append a leading zero:
Column = FORMAT([Actual Start Time], "000000")
This returns the following results:
073758
114436
-- which is perfect. Exactly what I needed.
I now want to convert these values into a Time.
Simply changing the data type field to Time doesn't do anything, returning:
Cannot convert value '073758' of type Text to type Date.
So I created another column with the following code:
Column 2 = FORMAT(TIME(LEFT([Column], 2), MID([Column], 3, 2), RIGHT([Column], 2)), "HH:mm:ss")
To pass the values 07, 37 and 58 into a TIME format.
This returns the following:
_______________________________________
| Actual Start Date | Column | Column 2 |
|_______________________________________|
| 73758 | 073758 | 07:37:58 |
| 114436 | 114436 | 11:44:36 |
Which is what I wanted but is there any other way of doing this? I want to ideally do it in one step without creating additional columns.

You could use a variable as suggested by Aldert or you can replace Column by the format function:
Time Format = FORMAT(
TIME(
LEFT(FORMAT([Actual Start Time],"000000"),2),
MID(FORMAT([Actual Start Time],"000000"),3,2),
RIGHT([Actual Start Time],2)),
"hh:mm:ss")
Edit:
If you want to do this in Power query, you can create a customer column with the following calculation:
Time.FromText(
if Text.Length([Actual Start Time])=5 then Text.PadStart( [Actual Start Time],6,"0")
else [Actual Start Time])
Once this column is created you can drop the old column, so that you only have one time column in the data. Hope this helps.

I, on purpose show you the concept of variables so you can use this in future with more complex queries.
TimeC =
var timeStr = FORMAT([Actual Start Time], "000000")
return FORMAT(TIME(LEFT([timeStr], 2), MID([timeStr], 3, 2), RIGHT([timeStr], 2)), "HH:mm:ss")

Related

Dynamic Google Sheets Column + Row formula

I have a good sheet that I want to grab the header which a date time stamp which will match against another sheet find the entries with that date and suburb and type and give me an average cost.
My formula is =AVERAGEIFS(Sheet1!C:C,Sheet1!A:A, B11:B, Sheet1!F:F, C10) which gives me the average but i've hard coded the header date:
example:
What I want to do is dynamically add the data from the row above with the date time instead of of manually adding it in the formula something like this:
=AVERAGEIFS(Sheet1!C:C,Sheet1!A:A, B11:B, Sheet1!F:F, =CHAR(COLUMN()+64) & 10)
Which would automatically grab the column + row 10 e.g C10, D10, E10.
If i put =CHAR(COLUMN()+64) & 10 in its own cell it works but when I add it to averageifs condition it gives me a parsing error.
Expecting C10, D10, E10 from =CHAR(COLUMN()+64) & 10 which should allow me to dynamically filter data on the date int he header above it.
try:
=AVERAGEIFS(Sheet1!C:C, Sheet1!A:A, B11:B, Sheet1!F:F, INDIRECT(CHAR(COLUMN()+64)&10))

Hour:Minute format on an APEX chart is not possible

I use Oracle APEX (v22.1) and on a page I created a (line) chart, but I have the following problem for the visualization of the graphic:
On the y-axis it is not possible to show the values in the format 'hh:mi' and I need a help for this.
Details for the axis:
x-axis: A date column represented as a string: to_char(time2, 'YYYY-MM')
y-axis: Two date columns and the average of the difference will be calculated: AVG(time2 - time1); the date time2 is the same as the date in the x-axis.
So I have the following SQL query for the visualization of the series:
SELECT DISTINCT to_char(time2, 'YYYY-MM') AS YEAR_MONTH --x-axis,
AVG(time2 - time1) AS AVERAGE_VALUE --y-axis
FROM users
GROUP BY to_char(time2, 'YYYY-MM')
ORDER BY to_char(time2, 'YYYY-MM')
I have another problem to solve it in another way: I am not familiar with JavaScript, if the solution is only possible in this way. Because I started new with APEX, but I have seen in different tutorials that you can use JS. So, when JS is the only solution, I would be happy to get a short description what I must do on the page.
(I don't know if this point is important for this case: The values time1 and time2 are updated daily.)
On the attributes of the chart I enabled the 'Time Axis Type' under Settings
On the y-axis I change the format to "Time - Short" and I tried with different pattern like ##:## but in this case you see for every value and also on the y-axis the value '01:00' although the line chart was represented in the right way. But when I change the format to Decimal the values are shown correct as the line chart.
I also tried it with the EXTRACT function for the value like 'EXTRACT(HOUR FROM AVG(time2 - time1))|| ':' || EXTRACT(MINUTE FROM AVG(time2 - time1))' but in this case I get an error message
So where is my mistake or is it more difficult to solve this?
ROUND(TRUNC(avg(time2 - time1)/60) + mod(avg(time2 - time1),60)/100, 2) AS Y
will get close to what you want, you can set Y Axis minimum 0 maximum 24
then 12.23 means 12 hour and 23 minutes.

how to find time band using dax in power bi?

I would like to find time band of half hour.Suppose i have a time stamp :
2019-03-12 01:20:00 this exists between time band of 1:00-1:30, similarly
2019-03-12 04:33:00 this exists between time band of 4:30-5:00.
I have column of n number of timestamp.
Is there any dax function that i can write to find the time band or there is any other process?
Thanks in advance!!
Consider something like this:
TimeBand =
FORMAT(FLOOR(MyTable[Timestamp], 1/48),"h:mm")
& " - "
& FORMAT(CEILING(MyTable[Timestamp], 1/48),"h:mm")
Floor and Ceiling are very similar functions -- they essentially round to the nearest multiple. Floor picks the biggest multiple that is smaller, and ceiling picks the smallest multiple that is bigger. Usually we round to powers of 10, but with this function we can round to the nearest 5, or 7, or 1/3.
Combine this with the understanding that PowerBI values all datetimes as a special kind of number -- it is simply the count of days since 12/30/1899. (Try it, create a calculated column and set its value to 0, then display it as a date time). So in this system "1" is one day. That means 1/24 is one hour, and 1/24/60 is one minute. It follows, then, that 30/24/60 is 30 minutes, and that reduces to 1/48.
So now we can take Floor/Ceiling, give it a time, and have it round that datetime to the nearest half-hour -- either down or up depending on which function you choose.
Use format to convert everything to text, and you're all set.
Here's some sample data generated in Power Query:
let
Source = List.Generate(()=> #datetime(2020,3,1,0,0,0), each _ < #datetime(2020,3,1,0,0,0) + #duration(1,0,0,0) , each _ + #duration(0,0,5,0)),
#"Converted to Table" = Table.FromList(Source, Splitter.SplitByNothing(), {"Timestamp"}, null, ExtraValues.Error)
in
#"Converted to Table"
And the results of our DAX:
Hope it Helps!

Redshift regexp_substr - extract data from a JSON type format

Help much appreciated - I have a field in Redshift giving data of the form:
{\"frequencyCapList\":[{\"frequencyCapped\":true,\"frequencyCapPeriodCount\":1,\"frequencyCapPeriodType\":\"DAYS\",\"frequencyCapCount\":501}]}
What I would like to do is parse this cleanly as the output of a Redshift query into some columns like:
Frequency Cap Period Count | Frequency Cap Period Type | Frequency Cap Count
1 | DAYS | 501
I believe I need to use the regexp_subst function to achieve this but I cannot work out the syntax to get the required output :(
Thanks in advance for any assistance,
Carter
Here you go
select json_extract_path_text(json_extract_array_element_text(json_extract_path_text(replace('{\"frequencyCapList\":[{\"frequencyCapped\":true,\"frequencyCapPeriodCount\":1,\"frequencyCapPeriodType\":\"DAYS\",\"frequencyCapCount\":501}]}','\\',''),'frequencyCapList'),0),'frequencyCapPeriodCount');
just replace the last string with each one you want to extract!

What is the best way to populate a load file for a date lookup dimension table?

Informix 11.70.TC4:
I have an SQL dimension table which is used for looking up a date (pk_date) and returning another date (plus1, plus2 or plus3_months) to the client, depending on whether the user selects a "1","2" or a "3".
The table schema is as follows:
TABLE date_lookup
(
pk_date DATE,
plus1_months DATE,
plus2_months DATE,
plus3_months DATE
);
UNIQUE INDEX on date_lookup(pk_date);
I have a load file (pipe delimited) containing dates from 01-28-2012 to 03-31-2014.
The following is an example of the load file:
01-28-2012|02-28-2012|03-28-2012|04-28-2012|
01-29-2012|02-29-2012|03-29-2012|04-29-2012|
01-30-2012|02-29-2012|03-30-2012|04-30-2012|
01-31-2012|02-29-2012|03-31-2012|04-30-2012|
...
03-31-2014|04-30-2014|05-31-2014|06-30-2014|
........................................................................................
EDIT : Sir Jonathan's SQL statement using DATE(pk_date + n UNITS MONTH on 11.70.TC5 worked!
I generated a load file with pk_date's from 01-28-2012 to 12-31-2020, and plus1, plus2 & plus3_months NULL. Loaded this into date_lookup table, then executed the update statement below:
UPDATE date_lookup
SET plus1_months = DATE(pk_date + 1 UNITS MONTH),
plus2_months = DATE(pk_date + 2 UNITS MONTH),
plus3_months = DATE(pk_date + 3 UNITS MONTH);
Apparently, DATE() was able to convert pk_date to DATETIME, do the math with TC5's new algorithm, and return the result in DATE format!
.........................................................................................
The rules for this dimension table are:
If pk_date has 31 days in its month and plus1, plus2 or plus3_months only have 28, 29, or 30 days, then let plus1, plus2 or plus3 equal the last day of that month.
If pk_date has 30 days in its month and plus1, plus2 or plus3 has 28 or 29 days in its month, let them equal the last valid date of those month, and so on.
All other dates fall on the same day of the following month.
My question is: What is the best way to automatically generate pk_dates past 03-31-2014 following the above rules? Can I accomplish this with an SQL script, "sed", C program?
EDIT: I mentioned sed because I already have more than two years worth of data and
could perhaps model the rest after this data, or perhaps a tool like awk is better?
The best technique would be to upgrade to 11.70.TC5 (on 32-bit Windows; generally to 11.70.xC5 or later) and use an expression such as:
SELECT DATE(given_date + n UNITS MONTH)
FROM Wherever
...
The DATETIME code was modified between 11.70.xC4 and 11.70.xC5 to generate dates according to the rules you outline when the dates are as described and you use the + n UNITS MONTH or equivalent notation.
This obviates the need for a table at all. Clearly, though, all your clients would also have to be on 11.70.xC5 too.
Maybe you can update your development machine to 11.70.xC5 and then use this property to generate the data for the table on your development machine, and distribute the data to your clients.
If upgrading at least someone to 11.70.xC5 is not an option, then consider the Perl script suggestion.
Can it be done with SQL? Probably, but it would be excruciating. Ditto for C, and I think 'no' is the answer for sed.
However, a couple of dozen lines of perl seems to produce what you need:
#!/usr/bin/perl
use strict;
use warnings;
use DateTime;
my #dates;
# parse arguments
while (my $datep = shift){
my ($m,$d,$y) = split('-', $datep);
push(#dates, DateTime->new(year => $y, month => $m, day => $d))
|| die "Cannot parse date $!\n";
}
open(STDOUT, ">", "output.unl") || die "Unable to create output file.";
my ($date, $end) = #dates;
while( $date < $end ){
my #row = ($date->mdy('-')); # start with pk_date
for my $mth ( qw[ 1 2 3 ] ){
my $fut_d = $date->clone->add(months => $mth);
until (
($fut_d->month == $date->month + $mth
&& $fut_d->year == $date->year) ||
($fut_d->month == $date->month + $mth - 12
&& $fut_d->year > $date->year)
){
$fut_d->subtract(days => 1); # step back until criteria met
}
push(#row, $fut_d->mdy('-'));
}
print STDOUT join("|", #row, "\n");
$date->add(days => 1);
}
Save that as futuredates.pl, chmod +x it and execute like this:
$ futuredates.pl 04-01-2014 12-31-2020
That seems to do the trick for me.