Is it possible to create a metric from an endpoint in datadog and group by a path variable? For example, given /animals/_animalName, I'd like to sum by _animalName and have a graph with as many lines or stacked bars as values in that variable. The idea is to be able to automatically extract values from the usage of that endpoint, instead of having to explicitly create metrics from code with tags and add the values to them. Something like this below (the graph type is irrelevant, but I'd like to be able to extract those values).
I read this where the original poster mentions that there is a way but I’m not able to do it myself. Thanks!
Related
In QuickSight, when you want to define a constant value to reuse it in visualizations later, you can try to set it as:
Calculated field: goalFor2020
Formula: 20000
But right now it doesn't allow you to put just a number in the formula.
Is there any way to do achieve having just a number in the formula of a calculated field?
The reason we need it is just to have a number that doesn't depend on any data, just manually defined by us.
Interesting, QuickSight lets me insert a number into a calculated field, just fine.
Since that isn't working for you, I'd recommend using a parameter with a default value. For example,
Parameters essentially has the same "rights" as a calculated field (it can be used in visuals, other calculated fields, etc...). It can also be passed via query parameters which may or may not be a feature that you'd find useful.
Another cool benefit of using parameters is that, if you're embedding QuickSight, you could retrieve this value dynamically and pass it to the dashboard. Then if you wanted to, say, generalize your for different yearly goals, the goal could be passed and dynamic (rather than hard-coded in a calculated field).
We could achieve it with a trick, just apply some function that returns a number to one of your columns, and make it 0, then add your constant number:
Calculated field: goalFor2020
Formula: count(email) * 0 + 20000
It does the trick, but there might be a better way to do it.
I have tried something like this:
distinct_countIf({dimension},{dimension}='xxx')*
+distinct_countIf({dimension},{dimension}='xxx')*
just makes the discount_countif meet the requirement, so it will return to 1. And use 1* the number you want to hardcode. If the requirement does not meet, it will return 0 so it won't add up the number
I want to implement this logic other than aggregator stage, basically through transformer stage to merge these records based on the ID column, and there is no possibility to get multiple values for same field in my case for same ID column.
I have this input data,
ID|VAL1|VAL2|VAL3|BAL1|BAL2|BAL3
10001|5|0|0|1000|0|0
10001|0|10|0|0|1200|0
10001|0|0|11|11|0|10500
and i want my output to be like:
ID|VAL1|VAL2|VAL3|BAL1|BAL2|BAL3
10001|5|10|11|1000|1200|10500
Is it possible to implement it and if, then thanks in advance!!!!
There are at least two options to do that:
Using the loop within the transformer
Storing the data of the previous row (with the help of stage variables) until LastRowInGroup
Some common things are
get the data sorted upfront the transformer
Use LastRowInGroup to use it as output constraint
remember that the stage & loop variables are processed top down so the sequence matters and enables one to point to an old (previous) content when referring to a variable further down from above
Be aware that this a little advanced - the aggregator would be probably the easier solution.
I have to make a report that have to look like this:
Taking it from this query result, group by Program, Code:
I managed to show it like this using a matrix:
but that is not what I need.
I can't figure out how to put the horizontal header that expands across the whole table playing with the groups.
Can any one assist me in this specific case?
Heres my problem. I have a working dc.js based dashboard and some data within it. A column of the data contains text data (twitter info). Is it somehow possible to extract that specific column from crossfilter? My aim is to create some charts and the crossfilter containing the text data should feed into a d3 based word cloud so that i can do the drill down based filtering as well which dc and crossfilter provide out of the box. I tried a dimension.top(infinity) but that returns all the key value pairs in the data. I just need the values for a particular key across the whole data set. I hope my question makes some sense.
EDIT:
More research reveals that the wordcloud will accept data in key value pair where the key is the word and value is its frequency of appearance. So i am guessing that will need to be implemented as well. If there is a ready to implement library out there kindly let me know as well. This changes things a bit as far as crossfilter is concerned.I need to throw this calculated key value pair (fit for the word cloud consumption) whenever a filter is triggered. How to go about it?
Looking forward to hearing from you all.
Best,
Anmol
Answer to the first part of the question: Probably dimension.top(Infinity) and then use an accessor to get the values you need. Not exactly efficient, but it is what it is.
Answer to the 2nd part of the question:
You need groupAll, I think. You want to take a tweet, generate an array of tokens (words), then generate a Crossfilter grouping that is a count per word, right? You can code your own custom crossfilter.dimension.groupAll reducers (if you want to do that, create a working example and I can probably cook it up). Or if you want to use Reductio:
tweetWords = data.dimension(function(d) { return d.tweetText.split(' '); });
wordCounts = tweetWords.groupAll();
reducer = reductio()
.groupAll(function(d) {
return d.tweetText.split(' ');
})
.count(true);
reducer(wordCounts);
wordCounts.all();
If you want to filter on this dimension you'll have to override the filter handler and check if the group key is in the dimension array for the record using a filterFunction.
I have a Tableau dashboard with various visualizations created from 3 data sources (i.e. A,B, C).
Each data source has a relationship (join) with the same secondary data source (i.e. D), and the secondary data sources provides information to create a filter for each data source. In other words, there is the following relationship for my data sources:
A - D
B - D
C - D
I would like to create a global filter on a dashboard I have created. I would like one filter card from "D" to show up and be applied to "A," "B," and "C" at once rather than having a separate filter card show up for each data source.
I tried to create a global filter via a parameter and calculated field, but the parameter requires layers of connections because data sources "A,B, and C" only have "D" in common.
Thoughts?
Its not completely clear from your question, but it sounds like you are using Tableau data blending on your worksheets to include data from multiple data sources, rather than a join to create a data source based on multiple tables. If all your tables are on the same database server or spreadsheet, then traditional joins are usually more efficient than data blending.
The following approach often works well.
Instead of using Tableau's quick filter feature, create a worksheet based solely on D that shows the values you wish to use for filtering. It can be a simple list of names, or a bubble chart or anything you like. Use that worksheet as your filter by creating actions where it is the source and all the other worksheets on your dashboard are the target. Typically, you would want to specify the field names explicitly.
Data blending is useful but can be complex. Depending on details, you may need to make D the primary data source on your other worksheets. Experiment.
The parameter and calculated field you mentioned can be even simpler and faster than using actions, but users are restricted to selecting a single value for a parameter unlike the filter action approach. (Of course, one parameter value can represent multiple values in your target data source field depending entirely on how your calculated field interprets the parameter).
I can't tell why that didn't work for you or what you mean by "layers of connections". You might consider clarifying that part of your question.