I'm a product manager, so I want to be able to collect data on my issues in Jira and automatically see a calculated priority value of this issue:
I have a set of standardized metrics that I can apply to my tickets:
Urgency, Count of users impacted, Strategic Focus, Issue Value, LOE
and the like.
Each of these metrics has some numerical value that can
be added up to get a score. This numerical value is a representation
of a picklist. E.g. Hotfix = 5, Critical = 3, Trivial = 1. Each of
these metrics has some weight when compared to each other, e.g.
Urgency counts 15% towards a final score, LOE counts 20%.
I use these
values to calculate a priority score like this: (Metric1 *
WeightMetric1) + (Metric2 * WeightMetric2) + (Metric3 *
WeightMetric3) + (Metric4 * WeightMetric4) + (Metric5 *
WeightMetric5) = SCORE
Metrics and WeightMetric are global values
that I want to be able to change at times to accommodate shifting
priorities and focuses.
I would like to be able to:
STORE global values for Metric and WeigthMetric
CALCULATE a score based on the global values selected for each issue
CHANGE global values as needed
Anyone ever tried that? Anyone a clue if Jira can pull this off?
This is not something that you'll get from JIRA out of the box, but you can script that behaviour if you're willing to use a commercial add-on like Script Runner.
Script Runner supports "script fields". Which are field that calculate their value based on whatever script you put together. Once you have that, you'll be able to use your field in search filter, gadgets, reports, etc.
More info is available in the documentation.
Related
I have a SpringBoot application that is under moderate load. I want to collect metric data for a few of the operations of my app. I am majorly interested in Counters and Timers.
I want to count the number of times a method was invoked (# of invocation over a window, for example, #invocation over last 1 day, 1 week, or 1 month)
If the method produces any unexpected result increase failure count and publish a few tags with that metric
I want to time a couple of expensive methods, i.e. I want to see how much time did that method took, and also I want to publish a few tags with metrics to get more context
I have tried StatsD-SignalFx and Micrometer-InfluxDB, but both these solutions have some issues I could not solve
StatsD aggregates the data over flush window and due to aggregation metric tags get messed up. For example, if I send 10 events in a flush window with different tag values, and the StatsD agent aggregates those events and publishes only one event with counter = 10, then I am not sure what tag values it's sending with aggregated data
Micrometer-InfluxDB setup has its own problems, one of them being micrometer sending 0 values for counters if no new metric is produced and in that fake ( 0 value counter) it uses same tag values from last valid (non zero counter)
I am not sure how, but Micrometer also does some sort of aggregation at the client-side in MeterRegistry I believe, because I was getting a few counters with a value of 0.5 in InfluxDB
Next, I am planning to explore Micrometer/StatsD + Telegraf + Influx + Grafana to see if it suits my use case.
Questions:
How to avoid metric aggregation till it reaches the data store (InfluxDB). I can do the required aggregation in Grafana
Is there any standard solution to the problem that I am trying to solve?
Any other suggestion or direction for my use case?
I have raw data in Tableau that looks like:
Month,Total
2021-08,17
2021-09,34
2021-10,41
2021-11,26
2021-12,6
And by using the following calculation
RUNNING_SUM(
COUNTD(IF [Inserted At]>=[Parameters].[Start Date]
AND [Inserted At]<=[End Date]
THEN [Id] ELSE NULL END
))
/
LOOKUP(RUNNING_SUM(
COUNTD(IF [Inserted At]>=[Parameters].[Start Date]
AND [Inserted At]<=[End Date]
THEN [Id] ELSE NULL END
)),-1)*100-100
I get
Month,My_Calc
2021-08,NULL
2021-09,200
2021-10,80.4
2021-11,28.3
2021-12,5.1
And all I really want is 5.1 (last monthly value) as one big metric (% Month-Over-Month Growth).
How can I accomplish this?
I'm relatively new to Tableau and don't know how to use calculated fields in conjunction with the date groupings aspect to express I want to calculate month-over-month growth. I've tried the native year-over-year growth running total table calculation but that didn't end with the same result since I think my calculation method is different.
First a brief table calc intro, and then the answer at the end.
Most calculations in Tableau are actually performed by the data source (e.g. database server), and the results are then returned to Tableau (i.e. the client) for presentation. This separation of responsibilities allows high performance, even when facing very large data sets.
By contrast, table calculations operate on the table of query results that were returned from the server. They are executed late in the order of operations pipeline. That is why table calcs operate on aggregated data -- i.e. you have to ask for WINDOW_SUM(SUM([Sales)) and not WINDOW_SUM([Sales])
Table calcs give you an opportunity to make final passes of calculations over the query results returned from the data source before presentation to the user. You can for instance calculate a running total or make the visualization layout dynamically depend in part on the contents of the query results. This flexibility comes at a cost, the calculation is only one part of defining a table calc. You also have to specify how to apply the calculation to the table of summary results, known as partitioning and addressing. The Tableau on-line help has a useful definition of partitioning and addressing.
Essentially, table calcs are applied to blocks of summary data at a time, aka vectors or windows. Partitioning is how you tell Tableau how you wish to break up the summary query results into windows for purposes of applying your table calc. Addressing is how you specify the order in which you wish to traverse those partitions. Addressing is important for some table calcs, such as RUNNING_SUM, and unimportant for others, such as WINDOW_SUM.
Besides understanding partitioning and addressing very well, it is also helpful to learn about the functions INDEX(), SIZE(), FIRST(), LAST(), WINDOW_SUM(), LOOKUP() and (eventually) PREVIOUS_VALUE() to really understand table calcs. If you really understand them, you'll be able to implement all of these functions using just two of them as the fundamental ones.
Finally, to partially address your question:
You can use the boolean formula LAST() = 0 to tell if you are at the last value of your partition. If you use that formula as a filter, you can hide all the other values. You'll have to get partitioning and addressing specified correctly. You would essentially be fetching a batch of data from your server, using it in calculations on the client side, but only displaying part of it. This can be a bit brittle depending on which fields are on which shelves, but it can work.
Normally, it is more efficient to use a calculation that can be performed server-side, such as LOD calc, if that allows you to avoid fetching data only for client side calculations. But if the data is already fetched for another purpose, or if the calculation requires table calc features, such as the ability to depend on the order of the values, then table calcs are a good tool.
However you do it, the % month-to-month change from 2021.11 (a value of 26) to the value for 2021.12 (a value of 6) is not 5.1%.
It's (( 6 - 26 ) / 26) * 100 = -76.9 %
OK, starting from scratch, this works for me: ( I don't know how to get exactly the table format I want without using ShowMe and Flip, but it works. Anyone else? )
drag Date to rows, change it to combined Month(Date)
drag sales to column shelf
in showme select TEXT-TABLES
flip rows for columns using tool bar
that gets a table like the one you show above
Drag Sales to color (This is a trick to simply hold it for a minute ),
click the down-arrow on the new SALES pill in the mark card,
select "Add a table calculation",
select Running Total, of SUM, compute using Table(down), but don't close this popup window yet.
click Add Secondary Calculation checkbox at the bottom
select Percent Different From
compute using table down
relative to Previous
Accept your work by closing the popup (x).
NOW, change the new pill in the mark card from color to text
you can see the 5.1% at the bottom. Almost done.
Reformat again by clicking table in ShowMe
and flipping axes.
click the sales column header and hide it
create a new calculated field
label 'rows-from-bottom'
formula = last()
close the popup
drag the new pill rows-from-bottom to the filters shelf
select range 0 to 0
close the popup.
Done.
For the next two weeks you can see the finished workbook here
https://public.tableau.com/app/profile/wade.schuette/viz/month-to-month/hiderows?publish=yes
I'm setting up a Google Sheet that will calculate the most effective purchase size of specific agricultural inputs (fertilizer, chemical, etc). I set up the price data in its own tab with a separate row for each input name + size.
To keep it easy for the user I'd like to require only the input name, # of gallons per acre, and acres and then have a formula spit out the total cost and most effective purchase (bulk if > X gallons, X # of 250 gallon containers + X 55 drums, etc). How can I use the input name plus a wildcard to find the appropriate purchase size?
https://docs.google.com/spreadsheets/d/1bMOPuk2qhmVuJT7vE_ni3KFxfcgKvwTwkM4p50xQF_0/edit?usp=sharing
I tried:
=ArrayFormula(iferror(INDEX('Data (Current)'!H2:H,SMALL(IF($A2&"*"='Data (Current)'!A2:A,ROW('Data (Current)'!A2:A)-1),1))))
...but it returns blank so I'm guessing the reference $A2&"*" to the input name isn't working properly. When I replace it with a string found in the 'Data (Current)' tab then it works fine.
=ArrayFormula(iferror(INDEX('Data (Current)'!H2:H,SMALL(IF($A2&"*"='Data (Current)'!A2:A,ROW('Data (Current)'!A2:A)-1),1))))
I expected the output to be the smallest value (in this case I think it's 5). Then when I change the last number to 2 or 3 it will find the next smallest value, in this case, 55 or 250. Then I can use simple formulas to interact with that and finish the spreadsheet.
Unfortunately, the actual output is nothing, or "".
Sorry if this isn't what you're looking for, as I had some trouble understanding your question.
Presuming what you want is essentially this:
I want to buy Y quantity of item.
I can buy item at cheaper prices if I buy in higher quantities, although sometimes they have a minimum order quantity.
What is the most optimal combination of the options I have to minimize the price I pay?
I'm unsure if there's a simple solution for this within Google Sheets alone. This might be treading more into Apps Script territory.
However, that's not to say that it's not impossible. I've "brute-forced" the above solution above with an iterative-like approach, for the "Chelated Calcium" product: https://docs.google.com/spreadsheets/d/1YSBiSx0IMr4T0R11Dqb-tqOhH4AOTTAWeH2yQfT4X5w
First, list the data in a standardized manner. This includes giving each same product something easy to look it up by. For example, on the Data (Current) tab, I've added 3 columns:
Product Common Name - This is used so that all items of different quantities can be found easily, without needing wildcards.
Gallons - Much easier to parse the data if it it's explicitly laid out.
Minimum Order Gallons - This is your threshold for Bulk. I've set it at an arbitrary 20,000 gallons for Chelated Calcium.
The data here is ordered least-effective first. How you do this will be up to you. In this case, I sorted by the Retail Cost Per Ounce parameter from your sheet, highest first. This eliminates any guesswork about which of the options are most effective, since you can just traverse your options in order. Note: The way I've laid out the formulas will only work IFF the same products are directly next to each other. It won't work if there are other products between them.
On the Field Level Tool tab, standardize your inputs to the Gallons unit. I do this in Total Gallons Needed column (I multiply anything with a "GAL" with 1, and "QUART" with 0.25).
For each item, determine the row numbers where the product begins and ends. This is marked by columns L (Least Efficient Index) and M (Most Efficient Index). I got these results by using the MATCH function.
Set up the iterations, from 0 to N-1. On this sheet, I've set up N=5 iterations, which means that it can traverse 5 different options of the same product only. Since Chelated Calcium only has 4 different options (5 Gal, 30 Gal, 250 Gal, Bulk), 5 is more than enough for this product. If you have products with more options, you may want to have more iterations.
The iterations are on the right side of the Field Level Tool tab.
In your case, you might want to put it on a different tab since the place I put it makes the file look very messy.
In each iteration, I perform the following steps:
To Fulfill - How many gallons still need to be purchased by this iteration?
ThisIndex - What is the row number of this iteration? This is determined by Most Efficient Index - Iteration Number. Remember that since we sorted in order of ascending efficiency, this means that the iteration starts with the most efficient option it can find first. There is a check to make sure that it only outputs a value if it is between the range [Least Efficient Index, Most Efficient Index]. Otherwise, it will be blank to avoid miscalculations by intruding into another product in the Data (Current) tab.
Retail Price, Minimum Gals, Gallons per Order - Simple data extraction for easy usage in the iteration, using INDEX (and indirectly, MATCH by virtue of ThisIndex).
Order - This formula does a couple of things, outlined below:
It checks whether there still remains a valid choice of product at this iteration. It does this by checking whether ThisIndex still exists. If the product doesn't exist, then it will be nulled. This is accomplished by using the IF function.
It will determine if there is a minimum threshold that must be met to purchase this choice. You can see in the 0th iteration, for example, that there is a minimum quantity of 20,000 gallons. If To Fulfill quantity is greater than or equal to the threshold OR there is no threshold, then a purchase is quantified by this column. The mathematics are simply to divide the To Fulfill amount by the Gallons per Order amount to determine the number of orders of this particular product choice. If there is a threshold but the To Fulfill amount doesn't meet it, then this iteration is skipped with a 0 order value.
If the item is already on its least efficient choice (ThisIndex == Least Efficient Index), it will do a CEILING function to ensure that the order is fulfilled. If not, it will do a FLOOR function instead. This is because you cannot order 3.5 units of an item, so they have to be rounded either up or down.
Expenditure - This is simply Order multiplied by the Retail Price, or how much money you spend in this iteration.
Remaining - How much of the product is left unfulfilled at the end of this iteration, to be used as To Fulfill for the next iteration.
Note: If you see formulas that are of the form =IF(ThisIndex, [calculations_here],), that is simply a check to nullify that calculation if ThisIndex is invalid.
Copy the iterations as many times as you want to the right. Something nice to do is to force the iterations to do a CEILING on the very last one to ensure that you never under-buy.
Generate a user-readable string for the purchase suggestion. You can see this on the Suggested Purchase column.
Calculate the Gallons Bought with a simple SUMPRODUCT over all the iterations.
Calculate the total expenditure with a simple SUM over all the iterations.
I hope this is what you were looking for. Regardless, it's at least a fun exercise on how much you can abuse Sheets. ;)
Using elasticsearch, I'd like to get a histogram facet for a price field in my model. Without knowing beforehand the min and max prices, what I'd like is to have the histogram cover the entire range of prices, with a set number of intervals, say 10. I can see from the documentation at
http://www.elasticsearch.org/guide/reference/api/search/facets/histogram-facet.html
that I can specify the price range for each interval, but this would give me some unspecified number of intervals. I'd like to have some specific number of intervals that evenly cover the entire range of values for the price field. Is there any way to do this?
I know that one solution could be to query my database for the min and max values, and then figure out the appropriate interval size, but that goes against one of the main points of using elasticsearch, which is to not have to hit the db for search related queries.
You can query elasticsearch for min and max values using Statistical Facet
You can track progress on the implementation of this feature, referred to as auto_histogram, at https://github.com/elastic/elasticsearch/issues/31828
I have problem in my new rails project.I want to implement a function which can show the user's info completeness by a bar like Linkedin.
I think I can use a variable to record the completeness,but I don't have any idea about how to calculate it.
P.S I have two Model,one is the User Model,another is the Info Model.
This is, in fact, completely arbitrary. It's based entirely on which activities on the site you want to encourage.
A couple of mechanisms you can consider:
Model "accomplishments" with a completed/not completed status. Count up the ones you care about. Store the accomplishments based on activity either as they happen or at the end of the day in some batch job. For each user, calculate the percentage with the usual math (accomplishments completed/sum of available accomplishments) * 100 = percentage.
A variation of the same, but weighted based on what you consider more valuable contributions. In this case, the math is basically sum of (weight n * accomplishment n)/total weight.
The previous Careers.stackoverflow.com model made a geeky joke about Spinal Tap by making it possible to have counts greater than 100%. You can do that simply by undercounting the maximum accomplishments.