Adjusting point values in Google Forms - google-forms

I currently have a google form that has questions from an internal audit for T-Mobile. I currently have all the point values assigned, but the issue i am running into is if we leave a question blank or mark it as N/A it is still taking points away from the total overall score. I am looking for a way to exclude these questions from deducting to the point total and have them taken off the total point value as well. Is this something that can be done in the script editor in the google form itself?

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ClickHouse SequenceCount group funnel

I've been trying to use sequenceCount in order to process a funnel analysis on a website data. We want to track how many user can reach from point A to point B. sequenceCount is a perfect fit for this need as we have trackers that follows the user's interaction on the website. However, let's say that there is not only one tracker but many that trigger the point A in our funnel analysis. This would mean that currently we would have to use sequenceCount for EACH triggers A and make them point to B.
This problem might lead to situation where we have to write plenty of sequenceCount and could kill all performance.
I've been looking on the web for answers but I didn't find any about that.
I'm looking for thoughts that could solve the problem or avoid it

Can I filter a Google Analytics segment based on content grouping pageview count?

I want to create a Google Analytics segment for our users who view at least a certain number of pages on our site. From what I can tell (please correct me if I'm wrong) this is easy to do if you don't care about what kind of page they view: you create a filter for the segment that checks to see if Unique Pageviews is greater than some value such as 4. However our site has a whole bunch of pages that I don't really care if someone reads (our "about page" for example). So what I'm trying to do is create a segment of how many people view at least X pages of what we call "Learning Content" (basically two specific page types on our site). How can I segment the users who read a certain amount of learning content?
Two types of pages fit into our definition of learning content. The first one has a URL matching a regex that sort of looks like /learning_content_1/.* and the second matches regex /learning_content_2/.*. I've already created a content group for learning content that correctly identifies these two content groups. However I wasn't able to find any way to filter a segment based on how many unique pageviews (or even just pageviews) come from a specific content grouping. Is this even possible? If not, how might I work around that?
The research I've done so far: Google Analytics: How to segment by many groups of pages was somewhat helpful but didn't address the question of how to create an actual GA segment based on pageview information for a content grouping or content group.
The only way I can think of handling this, is by associating a specific custom event that gets triggered on this page. Then you can create a segment that matches users who have that event category:
and total events greater than 4:
It's a workaround, and it doesn't work if you are tracking other events, but maybe that works for you?

How long should I wait to see a Sprint Burndown chart in RTC? [closed]

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We've just set up a Rational Team Concert v3 system. The data was loaded on Friday, but there was an issue connecting to the report data warehouses that was not fixed until today (Monday). We've fixed it, and the data load operations seem to be finishing correctly now.
I'm desperately eager to see a burndown chart - even though I know that in 24 hours we won't really have enough data to make it useful. I'm also eager to see just about any report from the RTC server, as we want to be able to share as much information as possible with the customer, and this is a trial for RTC as a large team tool.
How long should one expect it to take before RTC is able to show reports relating to work items? We've already cached several data updates - but only within the last few hours.
Should we wait 24 hours? 48? should it show up immediately? Haven't found any good heuristics for this on the Rational site.
You need a few things to happen to get a decent burn down chart in RTC
Run the Data Warehouse job (this happens every 24 hours automatically, or you can trigger it manually from the Reports page in the Admin section.
Get some work done - complete tasks, set Stories to Completed, etc. The burn down is a graph over time of work done.
You should see progress on the chart after the two event above occur.
Another thing to check - is that specific burn down chart set to point to the right project and team?
If that does not work - you may want to raise the question with IBM support (sounds like something is wrong, or raise the question on the RTC forum on jazz.net
Closure - It turns out we had several problems. Problems included:
- incorrect account setup on the account syncing between RTC and the data warehouse - we had to both make a new account and setup more privileges for it.
- a truly messed up set of sprints. I don't know what went wrong with the Sprints that were first set up (by default!) with the project, but they did not ever sync properly. Moving tasks to a newly made sprint caused the tasks to show up properly in reports (after a sync), but the original sprints were simply broken. Eventual workaround - make new sprints, same dates, and move all assigned stories/tasks to them.
The final answer was - the data should show up instantly after a sync. If you think your sync shows new data and you don't see a change in your report, then you have a problem.
Other notes - the data in the selection fields in "edited" reports is based on the data in the warehouse. If you don't see a sprint or release in there, it means that the report search criteria is not showing that there is data in the column that you are looking for. Report business logic seems to vary by report - in some cases, not being able to select a sprint (or not having a sprint in the data that matches the "current iteration") - will cause empty reports.

How can I determine the "correct" number of steps in a questionnaire where branching is used?

I have a potential maths / formula / algorithm question which I would like help on.
I've written a questionnaire application in ASP.Net that takes people through a series of pages. I've introduced conditional processing, or branching, so that some pages can be skipped dependent on an answer, e.g. if you're over a certain age, you will skip the page that has Teen Music Choice and go straight to the Golden Oldies page.
I wish to display how far along the questionnaire someone is (as a percentage). Let's say I have 10 pages to go through and my first answer takes me straight to page 9. Technically, I'm now 90% of the way through the questionnaire, but the user can think of themselves as being on page 2 of 3: the start page (with the branching question), page 9, then the end page (page 10).
How can I show that I'm on 66% and not 90% when I'm on page 9 of 10?
For further information, each Page can have a number of questions on that can have one or more conditions on them that will send the user to another page. By default, the next page will be the next one in the collection, but that can be over-ridden (e.g. entire sets of pages can be skipped).
Any thoughts? :-s
Simple answer is you can't. From what you have said you won't know until you have reached the end how many pages the user is going to see so you can't actually display an accurate result.
What you could do to get a better result as in your example is to assume they are going through all the remaining pages. In this case you would on any page have:
Number of pages gone through so far including current (visited_pages)
Number of the current page (page_position)
Total number of pages (total_pages)
The maximum number of pages is now:
max_pages = total_pages - page_position + visited_pages
You can think of total_pages-page_position as being the number of pages left to visit which makes the max_pages quite intuitive.
So in the 10 page example you gave visited_pages = 2 (page 1 and page 9), page_position = 9 and total_pages = 10.
so max_pages = 10-9+2 = 3.
then to work out the distance through you just do
progress = visited_pages/max_pages*100
One thing to note is that if you were to go to pages 1,2,3,4,9,10 then your progress would be 10%,20%,30%,40%,83%,100% so you would still get a strange jump that may confuse people. This is pretty much inevitable though.
Logically unless the user's question graph is predetermined, you can not predetermine their percentage complete.
That being said.
What you can do is build a full graph of the users expected path based on what information you know: what questions they have completed, and what questions they have to take, and simply calculate a percentage.
This will probably involve a data structure such as a linked list to calculate where they have been, and what the user has left to complete, this implementation is up to you.
The major caveat here is you have to accept that if the users question graph changes, so will their percent completed. Theoretically they could display 90% and then it changes and they will display 50%.

Is anybody happily using Google Analytics with big websites? (million+ pages, million+ monthly visitors) [closed]

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I was a happy customer of Google Analytics starting from the Urchin times. But something strange happened a few months ago and GA started showing a fake URL called "(other)" that is credited between 5% and 45% of all site traffic. I've tried filtering out some URL parameters to reduce the number of pages. Currently GA shows only 150,000 pages on my site, which is well below the half million limit that some people are talking about. Still, the page "(other)" is showing as the most popular page on my site.
Is anybody else struggling with this issue? I am wondering whether this could be a scalability issue. My site has been growing over the years, and currently doing 1.25 million unique monthly visitors and over 10 million pageviews. The site itself has around half a million pages. If you are successfully using GA with a bigger website than mine, please share your story. Are you using the Sampling feature of their tracking script?
Thanks!
For a huge website like and I would not use a Free Analytics. I would use something like Web trends or some other paid analytics. We cannot blame GA for this after all its a free service ;-)
GA has page view limits too. (5 Million page views)
Just curious. How long did you take to add the analytics code to your pages? ;-)
In Advanced Web Metrics with Google Analytics Brian Clifton writes that above a certain number of page views, Google Analytics is no more able to list all the seperate page views and starts aggregating the small amount ones under „(other)” entry.
By default, Google Analytics collects
pageview data for every visitor. For
very high traffic sites, the amount
of data can be overwhelming, leading
to large parts of the “long tail” of
information to be missing from your
reports, simply because they are too
far down in the report tables. You can
diminish this issue by creating
separate profiles of visitor
segments—for example, /blog, /forum,
/support, etc. However, another option
is to sample your visitors.
I get about 3.5 million hits a month on one of my sites using GA. I don't see (other) listed anywhere. Specifically what report are you viewing? Is (other) the title or URL of the page?
You can get a loooonnnngggg way on Google Analytics. I had a site doing about 25mm uniques/mo. and it was working for us just fine. The "other" bucket fills up when you hit a certain limit of pageviews/etc. The way around this is to create different filters on the data.
For a huge website (millions of page views per day), you should try out SnowPlow:
https://github.com/snowplow/snowplow
This will give you granular data down to the individual page URLs (unlike Google Analytics at that volume) and, because it is based on Hadoop/Hive/Infobright, it will happily scale up to billions of page views.
Its more to do with a daily limit of unique values for a metric they will report on. if your site uses querystring parameters, all those unique values and parameter variations are seen as separate pages and cause the report to go over the limit of 50,000 unique values in a day for a metric. To eliminate, you should add all the big culprits querystring names to be ignored, making sure however to not add any search querystring names if search is on.
On the Profile Settings, add them to the Exclude URL Query Parameters textbox field, delimited by commas. Once I did this, the (other) went away from the reports. It takes affect at the point they are added, previous days will still have (other) displaying.

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