I'm trying to create a measure to calculate first time past rate for a location.
So if I have a day where there are ten failures and one pass on an item, it would be a first time pass rate of zero%.
So the First time pass rate should be 60%:
FirsTimePassed = CALCULATE(MIN(ATP[Result Date]), ALLEXCEPT(ATP,ATP[Location Name]),FILTER(ATP,ATP[Pass/Fail]="Pass"))
firstime = CALCULATE(MIN(ATP[Result Date]), ALLEXCEPT(ATP,ATP[Location Name]))
FirstTimePassedCount =
VAR SerailCount = CALCULATE(DISTINCTCOUNT(ATP[Location Name]),ALL(ATP))
VAR PassedCount = CALCULATE(DISTINCTCOUNT(ATP[Location Name]),FILTER(ATP,ATP[firstime]=ATP[FirsTimePassed]))
Return PassedCount/SerailCount
Related
I'm trying to figure out an issues in my report.
I have a list of items with cost that is being changed at random intervals (my current dataset includes data from 1/1/22 - 31/1/23). I have managed to write some measured to get first and last cost based on filter context:
_lastOldIDC =
VAR tbl = VALUES('IDCs')
VAR max_date = MAXX('IDCs', [Maximum of Date])
VAR result = MINX(FILTER(tbl, [Maximum of Date] = max_date), [Old Value])
RETURN
result
_firstOldIDC =
VAR tbl = VALUES('IDCs')
VAR min_date = MINX('IDCs', [Maximum of Date])
VAR result = MINX(FILTER(tbl, [Maximum of Date] = min_date), [Old Value])
RETURN
result
my table
These two work great but now I need a similar measure that will only return a value (cost change) that represents the last value in the column before 10/11/2022. In the example based on the screenshot the value returned would be £2.43 as a last value in the column before the threshold (10/11/22). My measures can filter out other values and dates if I use a slicer but that only captures defined space of time and not the last cost change done prior to 10/11/2022.
Any help here would be massively appreciated.
Suppose the given stock data are in 1-minute intervals. I’m trying to perform a time split for around every 1.5 million shares traded for each stock so as to obtain data records with different time windows. In this case, around every 1.5 million means that the value at a time point should be added if the sum_volume could be closer to 1.5 million after adding it. Otherwise, the value should not be added.
It can be achieved by the following script. The key to group data lies in the expression: iif(accumulate(caclCumVol{1500000}, volume) ==volume, time, NULL).ffill()
//Define an accumulate function `calcCumVol`. If the value at this point should be included in the current group, the function returns the accumulated volume. Otherwise, it creates a new group and returns the volume at the current point.
def caclCumVol(target, a, b){
newVal = a + b
if(newVal < target) return newVal
else if(newVal - target > target - a) return b
else return newVal
}
// import data
t = loadText("f:/DolphinDB/sample.csv")
// The key lies in the the expression iif(accumulate(caclCumVol{1500000), volume) == volume, time, NULL).ffill()
// If the accumulated value == volume, it means a new group begins.
// If it is the start of a new group, record the current time. Otherwise leave it NULL and fill it with function `ffill`. Therefore, the data in the same group all use the same start time.
output = select first(wind_code) as wind_code, first(date) as date, sum(volume) as sum_volume, last(time) as endTime from t group by iif(accumulate(caclCumVol{1500000}, volume) ==volume, time, NULL).ffill() as startTime
I want to make estimate time when user will come. I have 2 variable to save, open and closed time of the store.
$openTime = Carbon::parse($open);
$closedTime = Carbon::parse($closed);
i can get the duration between 2 variable. And i can get duration for each person who come.
$Duration = $startTime->diffInSeconds($endTime);
$perpersonDuration = gmdate("H:i:s", $Duration/$quota);
The question is how to add $perpersonduration to time. In this case i want to add $perpersonduration with $opentime. So it will be like $opentime + $perpersonduration.
Please help
In Carbon there is a method called addMinutes() and you can pass the number of minutes as you won't like this
$openTime = Carbon::now(); // 02:00:00
$closeTime = Carbon::parse($openTime)->addMinutes(30); // 02:30:00
I have a table called transactions with two relevant fields to my question, _start_timestamp_ and _end_timestamp_. I need to sum the amount of time passed between all transactions where _end_timestamp_ is not null. So, the result must be something like Total Time of Transactions: 1 hour and 18 minutes
I've tried using Carbon, but I don't know how to sum all the lines of the table using it.
foreach($timestampStarts as $timestampStart){
$time = new Carbon($timestampStart->start_timestamp);
$shift_end_time =new Carbon($timestampStart->end_timestamp);
dd($time->diffForHumans($shift_end_time));
}
You can use the MySQL TIMESTAMPDIFF function to calculate the difference:
Transaction::whereNotNull('_end_timestamp_')
->sum(DB::raw('TIMESTAMPDIFF(SECOND, _start_timestamp_, _end_timestamp_)'));
This will give you the total in seconds.
You need to retrieve the total difference in minutes. Add the total difference and retrieve the diff for humans. You can retrieve like below:
$diffForHumans = null;
$nowDate = Carbon::now();
$diffInMinutes = 0;
foreach($timestampStarts as $timestampStart){
if(!empty($timestampStart->end_timestamp)){ // if the end timestamp is not empty
$time = new Carbon($timestampStart->start_timestamp);
$shift_end_time =new Carbon($timestampStart->end_timestamp);
//Adding difference in minutes
$diffInMinutes+= $shift_end_time->diffInMinutes($time);
}
}
$totalDiffForHumans = $now->addMinutes($diffInMinutes)->diffForHumans();
I am newbie to shopify, I have to display a time counter up-to 9 PM everyday. The logic includes to deduct current time from specified time and the difference time will display as counter(remaining time).
I am able to retrieve current timestamp in shopify using the code below
{% assign timestamp = 'now' | date %}
Now I have a date "21-03-2016 21:00:00" and wants to convert in timestamp but not able to get the solution.
Let me know if any one can help me in this. Thank You.
Note that the value will be the current time of when the page was last
generated from the template, not when the page is presented to a user
if caching or static site generation is involved.
http://shopify.github.io/liquid/filters/date/
This is probably best done using Javascript, not pure-Liquid. You generally want your pages to be as cache-able as possible for Shopify's servers to keep loading times as lean as possible.
You will want to use Liquid to compensate for timezones, however. You can get the store's configured timezone and drop that into a Javascript variable:
var timezone = {{ 1 | date: '%z' | json }};
The above liquid statement takes some arbitrary input, runs it through the date filter and outputs only the timezone component configured for that store (using '%z'), then runs that through the json filter to ensure that whatever the output will always be javascript-legal.
Now that you know your timezone offset, you can assemble your timer logic in Javascript using all your normal date/time tricks. For example:
var now = new Date();
var nowStr = now.toISOString(); // Output format: '2019-01-01T00:00'
// Chop off the time portion, then append your desired time & store timezone
var closingTimeStr = nowStr.split('T')[0] + 'T21:00' + timezone;
// We make a new date using today's date/time string
var closingTime = new Date(closingTimeStr);
// And now we can do math based on the difference
var difference_ms = closingTime - now;
if(difference_ms > 0){
// Parse the difference into hours, minutes and seconds if a positive amount of time remains. Writing a better parsing function is left as an exercise for the reader.
var hours = parseInt(difference_ms / (60 * 60 * 1000) );
difference_ms %= (60 * 60 * 1000);
var minutes = parseInt(difference_ms / (60 * 1000) );
difference_ms %= (60 * 1000);
var seconds = parseInt(difference_ms / (1000) );
console.log('Hurry down! Closing in ' + hours + ' hours, ' + minutes + ' minutes, and ' + seconds + ' seconds!');
} else {
// Show appropriate message if we're out-of-bounds
console.log('Closed for today - try again tomorrow!');
}