Why does Google Trends for search terms show strong weekly fluctuations.
Here is link to the google trends report for selenium in the US during last 90 days: https://trends.google.com/trends/explore?date=today%203-m&geo=US&q=%2Fm%2F0c828v
There is a significant fluctuation that looks weekly. I am wondering if there is a flaw in google's data or reporting. Or does the search for "selenium" and other similar technical terms happen 50% less around the weekends.
that is because people do not work at the weekend :)
Related
Today I received a notification: "There are still seven days until your trial expires. Upgrade your account now to enable automatic billing and prevent loss of service when your trial expires. Upgrade now!".
The FAQ says: "You can estimate the cost of using Google Cloud by translating your estimate of the resources you'll use into estimated monthly charges with the pricing calculator, or by consulting the pricing page."
The pricing calculator has many new specific terms. I’m not sure that I understand all of them correctly.
How to estimate how much I will pay for the account after the upgrade? I would be very grateful for a simple explanation or step-by-step instructions for a correct estimate.
As far as I can tell, you should have $300 in credits during your trial. All spendings should be visible in billing, except the bill will be 0 because the credit was applied.
Go to your project at https://console.cloud.google.com/
Select "Billing" either from the dashboard or from the side nav
View your report for detailed spending on all services you use
This should continue to reflect your spending in the future if you wish to stay with your current infrastructure. Otherwise, you can always use the calculator and match the services you are using.
Documentation on View Your Billing Reports and Cost Trends might be helpful for you. It includes a step by step guide for reading and understanding billing charts,changing chart settings, chart style, data order, preset views, viewing your forecasted cost, viewing your credits etc.
Schedule labors for the given task, based on different constraints.
Constraints examples are labor Skills, time, locations, shifts, holidays, priorities, capacity, etc.
Problem description:
Let us say there is a task to set up the Linux server in California on 25th Dec and to set up the server, it takes 5 hours of time. To set up a Linus server we would need labor who is skilled with the Linux server and stays in California and should be free on 25th Dec from 9 am - 3 pm. total six hours.
So if there is a pool of labor resources and if I have to find suitable labors for multiple tasks, What approach should I follow?
I google and found that this is a constraint-based programming problem and google OR Tools and other models provide a way to solve it.
So I started looking into Google OR Tools Google OR Tools doc.
The documentation provides basic examples.
I found another doc on git hub for google OR which better than the above link.
Git hub doc for google OR Tools
I tried implementing the nurse scheduling program which given here Google OR nurse scheduling
I am having difficulty in understanding the program. It is not that I am having difficulty in understanding python or java.
So my questions are.
What are the way of solving such a problem?
Is Google OR is the right tool? If yes, What are the prerequisite for google OR if somebody has weak maths background?
How should I proceed to solve such a problem?
The Google Cloud Platform billing interface (at https://console.cloud.google.com/billing/<account_number>/reports?project=<project_name>&organizationId=<org_id>) that you get when you click on billing in the Cloud Console has a table with the current month-to-date cost -- the column labeled subtotal in the image whose value I scratched out in blue.
I would like to get that value (or the aggregate cost for a project over some other period) using the RPC API (or other appropriate programmatic method). The keywords subtotal and total don't seem to come up anywhere in the API.
I want to use this for benchmarking. I want to run version X of my code with a certain configuration and load and see how much it cost by looking at the total cost before and after the run. Then I can compare configurations and versions and see the effects of various optimizations.
I did some basic Google searches and checked StackOverflow, but the closest I got were this answer to a question about programmatic costs and this answer to a similar question, but they do not help because the export happens every day and I'd like to check the change in an interval of a few minutes.
In the worst-case scenario, I can scrape the billing web page. But I'm hoping there's a better way since scraping is usually brittle (and Google might not like it).
Hi actually this is a simple question but just came up out of the curiosity...
I have seen a web evaluation online tool recently called teqpad.com.I have lots of queries on it
How do they do it?? eg:page views daily visitors etc. without mapping real website??...
Website worth...is this getting any near to any site??
I don't know how do they got daily revenue??
I like traffic by country..it has seen same like in Google analytic s..how they got that info??
another one is ISP info and Google map location of server..
is there any one here done similar scripts?? if so what is your opinion??
They may be tracking user browser stats like Alexa does. (More info on Wikipedia.) A group of users installs a plug-in that reports which sites each user visits, like TV ratings work in most (all?) countries. This method is obviously not very reliable, and often nowhere near the actual numbers of visitors.
This is usually based on bullshit pseudo-scientific calculations and never a viable basis for evaluating the "value" of a web site, even though it may be possible to guesstimate the approximate ad revenues a site yields (see 3) But that is only one revenue stream - it says nothing about how expensive the site's daily maintenance is - servers, staff, content creation....
It should be possible to very roughly estimate daily revenue by taking the guesses on daily visitors/page views, count the frequency with which ads are shown, and look at what those ads usually yield per page view. It is probably pretty easy to get some rough numbers on what an ad view is worth on a big site if you're in the market.
and 5. It is possible to track down most IP addresses down to the visitor's country and sometimes even city. See the Geo targeting article on Wikipedia
Currently using SAS as measurement engine and Business Objects as display layer. Looking to develop a new, faster, slicker solution. Has anyone developed or purchased a campaign measurement reporting system? This solution should measure everything from email stats, web stats, customer activity, lift, ROI, etc.
Ok.. I'm researching and finding nada... We are working with a team from India and they want to re-write everything from scratch.. Any solutions out there at all?
If you are already using SAS, have you looked at their Marketing Automation software?
Update:
Just saw a press release from SAS about a new "Software as a Service" Campaign Management solution. Might be worth checking out for this.
When I was a consultant, we either rolled our own or used SAS (or a combination of the two).
Another vote for roll your own, it's mad that this area is so under served. The expense of building your own solution from the ground up, and the hassle of managing a remote team makes me think you may get further by integrating some existing tools.
Google Analytics for web usage has an API, there are many web log tools, you then need to bolt in the customer figures from your end of things.
I really doubt you could do much better than SAS in this area. Especially if you pick up some of thier specialist packages.
You could have a look at R which is a pretty slick open source statistics package. Unfortunately its not used very much for marketing; most of the examples and freely available code is geared towards biochemistry, genetics etc.