I have the following file :
I'd like to calculate for every customer the average time lag between the moments they've come.
Related
I have a table with details about bike rides in a certain city. Table details include station, start time, stop time, etc. I want to know the average ride time for all rides.
I've used =TEXT(stoptime-starttime,"h:mm:ss") to find the time spent per ride. Now I tried using the AVERAGE function to find the average ride time but I keep ending a Div/0 error.
I've been Googling around this problem for hours and haven't found a solution that suits my needs.
I have a large data set with agent activities and the total time in seconds each activity lasts. I'm pulling this together in a matrix, to display agent names on the left and the start date of each week across the top like so:
This is working as intended (I've used a measure to convert the seconds into hours) but I need the average of the displayed weeks as another column, or to replace the Total column.
I've tried solutions involving DAX measures but none are applicable, likely because I'm using a custom column (WeekStart) to roll up my numbers into weeks. Adding more complexity is I have 2 filters on the matrix; one to exclude any weeks older that 5 weeks in the past and another to exclude any future weeks.
In Excel I'd just add another column next to the table, averaging the 5 cells to the left of it. I could add it to the data table with a SUMIFS checking the Activity date is within the week range and dividing the result by 5. I can't do either of these in PowerBI and I'm new to the software so I'm at a loss as to how to do this.
I am currently having an issue with the power bi Matrix Calculation when using dax. I need to calculate the Running total for overtime per fortnight, which I have achieved using the following
Lieu running total to Date =Â CALCULATE(SUM('Table1'[OT]),FILTER(ALLSELECTED('Calendar'[Date]),ISONORAFTER('Calendar'[Date], MAX('Calendar'[Date]), DESC)))
However I now need to calculate the excess hours (OT) which I have used the following to calculate people over 90 hours(additional 10 hours)
Excess Lieu2 = IF([Lieu running total in Date]>=160,[Lieu running total in Date]-160,0)
The issues is the the grand totals is calculating the entire total - 160
The the last few total rows as well as the grand total are aggregating incorrectly...ANy help is greatly appreciated. A Dax solution is needed as this will need to be dynamic as the employees names will be added
Add a new measure with below code and add that measure to your matrix.
Total_Lieu_running_total_to_Date =
SUMX (
SUMMARIZE (
table,//add the table from which the pay period end date is coming
table[pay period end date],//date column which you are using in matrix
"Lieu_running_total_to_Date",
[Lieu running total to Date] //measure which you using currently
),
[Lieu_running_total_to_Date]
)
Note:- Please add some sample data so it would help other to give you solution quickly.
I have a sheet where I record my working hours (this is more for me to remind me to stop working than anything else). For every day, I have three possible shifts - early, normal & late, and I have a formula which will sum up any times put into these columns and give me the daily total hours.
To summarise the duration of time spent working in a day, I use the following formula: =(C41-B41)+(E41-D41)+12+(G41-F41) which is:
early end time minus early start time
normal end time minus normal start time PLUS 12 hours
late end time minus late start time
Which gives me output like this:
What I cannot seem to achieve is, the ability to sum the daily totals into something which shows me the total hours worked over 1-week. If I attempt to sum the daily totals together for the example image shown, I get some wild figure such as 1487:25:00 when formatting as 'Duration' or 23:25:00 when formatted as 'Time'!
All my cells where I record the hours worked are formatted as 'Time'
When using arithmetic operations on date values in Google Sheets, it's important to remember that the internal representation of a date is numeric, and understood as the number of days since January 1, 1970.
What follows from that, is that if you want to add 12 hours to a time duration, you should not write "+12" because that will in fact add 12 days. Instead add "+12/24". In other words, try the following formula instead of the one you are using now:
=(C41-B41)+(E41-D41)+(12/24+G41-F41)
I am totally new to data structure and algorithms. As much as i am learning and trying to pick up the various functions i was asked to display 5 sets of data structure based on a sample data in csv.
Each file contains a year’s worth of data for multiple sensors. Data for each date-time recording are on separate rows. Within each row, the value for each sensor is separated by a comma. There are a total of 105,120 rows per year/file. Currently the client has 10 years of data which is a million records.
I am supposed to find out:
The maximum wind speed of a specified month and year.
The median wind speed of a specified year.
Average wind speed for each month of a specified year. Display the data in the order of month (Jan, Feb, Mar, ...)
Total solar radiation for each month of a specified year. Display the data in a descending order of the solar radiation (i.e. month with the highest total solar radiation will display first).
Given a date, show the times for the highest solar radiation for that date. There can be one or more time values with the same highest solar radiation. Display the list of times in descending order (e.g. 24:00, 23:00, 22:00, etc.)
As i am new to Data structure. I have been cracking hard on the type of algorithms to propose on the above.
I am thinking if i can use:
BST Binary Search Tree to solve Qns 1
Linear for Qns 2
Constant to sort and linear to find the average for Qns 3
Both linear for Qns 4 and 5.
Anyone have a better suggestion or sample pseudo code to share on this. Or how should i start.
Regards, Heaptie