I am trying to calculate a 20 Day moving Avg using the WindowAvg function. However I only want to show the latest days data. Using a date filter to show most recent date only affects the 20 Day moving avg calculation.
WINDOW_AVG(COUNTD([SLIP_NUMBER]),LAST()-19,0)
Adding a date filter to only display current days 20 DayMovingAvg only gives me Count for the current day.
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I want to calculate SUM of my data with monthly cycle start date 26 and end date of 25 of each month. Could you please help me out on this?
File Link is below for your reference.
https://drive.google.com/file/d/1nnXGQ5T6ayHl7O6nfUD6BOhl7FaWTCSG/view?usp=share_link
Actually I am trying to draw S-Curve Month Wise with Cut-off date: 25 of each month.
I have data for each day and I want to sum that data month wise with starting from 26 of the month and ending with 25 for each month to get data month wise.
I’m trying to figure out how to create rolling 7 day periods. I have horizontal bar charts that are currently grouped by week, but I actually want them to be grouped by 7 day periods instead.
I used the Superstore data as an example. The top row in this image should be the last 7 days, with the latest date being in the top right, and so forth. Is this possible?
You can create a field to use as a dimension for this assuming you choose some anchor date to specify the beginning of a 7-day period. For this example, I’ll choose a literal date of July 4, 1776 but you could use the Today() function or the min or max transaction date in your data or whatever you like.
Then the DIV() and DATEDIFF() functions are all you need to calculate the number of 7 day periods Between the anchor date and the period containing [Order Date].
DIV(DATEDIFF('day', #7/4/1776#, [Order Date]), 7)
You’ll typically want to treat this field as a discrete dimension.
In the example below, I called the field [Period] and also displayed the earliest and latest dates found in the data for each Period.
In a more production oriented example, you may want to hide the header for the Period field and instead calculate the start/end dates for periods rather than draw them from the data, so that they show correctly if there were period boundaries without any transactions.
The formula to compute the [Period Start] is DATE(DATEADD('day', [Period] * 7, #7/4/1776#)) and to compute [Period End] is DATE(DATEADD('day', [Period] * 7 + 6, #7/4/1776#)) If you are going to use the anchor date in many formulas, it would be convenient to define it in one place with a parameter or calculated field.
I'm in healthcare and we're trying to assess the number of discharges we have per hour of day, but we'd also like to be able to filter them down by day of week, or specific month, or even a particular day of week in a particular month (e.g. " what is the average number of discharges per hour on Mondays in January?")
I'm confident that Tableau can do this, but haven't been able to make the averages show up in my line graph... every time that I convert it from COUNT to AVG, the line simply goes straight. I got close when I did a table calculation to find the Average (dividing the count per hour by the number of days captured in the report), but when I add a filter for either the month or day of week, selecting one of the options of the filter reduces the total number that is being counted, rather than re-averaging the non-filtered items. (i.e. if the average of the 7 days of the week is "10" for a particular hour, and I deselect the first three days of the week, it's now saying that my average for that hour is roughly 6, despite the fact that all of the days are very close to 10 at that hour.)
Currently, my data table has the following columns:
Account#/MonthYear/HourOfDay/DayOfWeek
ex.12345678/ Jan-17 / 12 /Sunday
I would just create a few calculated fields to differentiate the parts of the calendar you might want to filter/aggregate on. Mixing the month and day of the week with filtering is pretty straight forward with the calculated fields. Then do standard summing to get what you are looking for because an average count of records is always one unless you are throwing some other calculation into the mix. I threw a quick example up on Tableau Public for you to get the idea.
I am trying to calculate an expression in Tableau 10.2 for a contact center use case.
I have calls at every hour all days of the week.
I need to calculate the average call per hour per day. For instance i need to calculate the average call every Sunday at 9 pm and use that in tool tip.
By this i am measuring how many average calls we get on a given Sunday or any other day of the week at a particular hour.
I had written an expression sadly that is not resulting in accurate number
AVG({ FIXED [Weekday Flagging],[Hour]:
AVG([Volume])})
Do suggest.
Very Recently I had a same requirement to see avg visitors on the hours of all the days of a week. My requirement was (Total No. Of Visitors on Sundays/No.Of Sundays) and then (Total No of Visitors #hour/No. Of Sundays).
1)create a calculated field : sum(volume)/countd(date) and name it 'Avg Volume'
2)drag date to 'Columns'. From the drop down click 'More' -> 'Weekday'
3)drag the calculated field to rows. This will give avg volume on each days of a week.
To get Avg Volume of hours
1)do the same procedure as above and instead of 'Weekday', drag Hour of the day to the column.
Link these 2 sheets using an action filter, so that if u click on sunday in the first sheet, it will show the avg volume of each hour of sunday in the second sheet.
I have a few years of data by day that looks like this:
Date Count
1/1/2015 1000
1/2/2015 1010
1/3/2015 1040
I would like to create a calculation that allows me to switch between Day, Month and Year using Tableau's date formats without having to calculate the average for each individual format. For instance, the monthly average for Jan 2015 would be the total of Count for all 31 days in January 2015 divided by 31.
Since you have no missing data (days) and no duplicate data, the solution is extremely easy.
Place the Count field on any shelf (except the filter shelf). For example, place it on the Rows shelf. Click on the Count field on the Rows shelf and change the aggregation to AVG(). You should see the AVG(Count) of all your data rows at this point.
Place the Date field on any shelf (except the filter shelf). For example, place it on the Columns shelf. Click on the Date field pill on the Columns shelf, and choose the level of granularity you wish from the SECOND batch of choices. (The first batch returns date parts, not dates) For example, choose Month. You'll see the Avg(Count) per month.
Place any other dimensions on shelves to either filter to specific dimension values or to show the average counts broken down by your other dimensions.
Users can drill up or down the granularity of your dates by clicking the + or - icons by the date axis, or by clicking on the Date pill. You can choose to display the dates as a continuous or discrete value.
If you don't like the +/- UI, then you can create a string valued parameter with values: year, quarter, month, day etc, and then create a calculated field using the date_trunc() function to allow, say, a dashboard user to to choose the date granularity from a different type of UI control.