How to get real data for Google Play Developer Console experiments? - developer-console

Is it possible to get real data (not scaled) for Google Play experiments?
Especially App store listing visitors and daily installs for variants. I would like to calculate Confidence level for experiment and I need those data for formula.

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Chrome Extension install numbers are VERY different on Google Analytics vs. Chrome Web Store statistics -- why, and how to resolve?

If I look inside of the Chrome Web Store "Analytics" section, it shows a certain number of installs over a specified time period. Google Analytics shows a totally different number. Why?
I've integrated my Chrome Web Store page with my Google Analytics page, for better tracking information. Installs are apparently reported in Analytics as page visits to a URL that contains "track_install". (I assume that's the case; there's shockingly no documentation I can find on, how to track any sort of conversions, install rates, etc, of Chrome Extensions, via either Google Analytics or Google Ads.)
My question is, why am I seeing such wildly different numbers between the two sources? Google Analytics is under-reporting installs by a factor of around 4, versus what I see in the Chrome Web Store page.
Any idea what is causing this, and how to resolve it?
Thanks

How does Google track me without using mobile my internet data plan?

I'm developing an app that can shows all the bus lines in my city, i'd like to show if the bus is crowded or not, and even get the bus position by another user that is inside it.
But I don't want to use all the internet plan from my users, I see that Google does that, it knows when a restaurant or bar has people there, knows if a street is congested, and also get your path history.
I'm not asking for all the code, but kind of how does Google does that?
Google will be using mobile data when it tracks that - but I don't imagine sending a GPS co-ordinate every 30 mins will use much data.
And if it did - then Google will probably store that data offline and upload it later when a WiFi connection is available.

Evaluate Google Sheet offline programmatically

What's the best way to evaluate a Google Sheet without using the API? By evaluate I mean, change some cells and recompute the dependent cells.
You can use Google Sheets offline, so they have to be stored somewhere and the evaluation code also needs to run offline. How can I control this functionality from JS/Python?
I need to run thousands of computations as quickly as possible and the API would be too slow for this / I would get rate limited.
You can use Google Sheets offline, so they have to be stored somewhere and the evaluation code also needs to run offline. How can I control this functionality from JS/Python?
For offline support the data must be stored by the browser.
You can use the browser's Developer console to inspect the data-stores supported by that browser (ie. IndexedDB, Local Storage, Web SQL, etc.). From what I can see from Google Chrome (go to your developer console and select the Application tab), you can find some google docs data mirrored in IndexedDB databases.
Unfortunately, I don't believe you can interact with that data in any meaningful way outside of the dev console. Plus some of that data appears to be encrypted.
If your goal is to use Google Sheets as a analytics platform to perform heavy computation then you're in for a lot of disappointment. As you're no doubt discovering Google Sheets are bound by a number of limitations and its not meant to be used in that capacity. You probably need something more robust and that means moving to more traditional database solutions, but they wont' be free.
You should consider using normal formulas, this documentation will show you the basics on how to use them for regular data management in the Sheet.
After that, you should see this list of functions to know what tools you have available to create the functionality that you want.
Lastly, you should see this tutorial on creating your own formulas, it can be helpful to expand what the normal functions can do and have a more tailored solution to your needs.

Does Chrome App works with large data like POS?

I am planning to create a POS System using Chrome App and Indexed DB as the backend. I just want to know if it could cater/work with large data.
Let's say that this app will be used in a big restaurant that has a thousands of transactions per day and a thousand of Inventory list with image of each item.
Thanks in advance!
I don't think the Chrome App per se will be the problem. It's where you store your data that needs scaling. For that Google has Google Cloud Platform, built automatically for scaling.
Several businesses are already using Chrome Apps. Check this list of Chrome apps being used for work. Who knows if your app will also be added to the list.

How accurate are the user downloads for extensions on the chrome web store?

I created an extension and published it 2 days ago.
On the Web Store it says that there are 10 users, but if I look at the Google Analytics that I installed on my extension it says "305 Users, 604 Pageviews" etc, and if I sort my audience by city, I get a large array of locations and the number of sessions is very even across 20-25 cities...
So my question is, how accurate is the web store with showing the amount of users? Perhaps a lot of my users removed the extension, but even so, I'd expect more than 10 stuck around.
Those are weekly stats representing the number of active installs; don't expect them to update often.
If you use Google Analytics in the extension itself, it provides a much better and up to date picture.
You can also look at those stats (while logged in to the developer account): https://chrome.google.com/webstore/developer/stats/<your_id_here>, available as a link from Developer Dashboard.
As your extension is still fairly new it may take a day or two before you are seeing numbers that reflect what you are seeing in Google Analytics.
Per the Google: https://support.google.com/chrome_webstore/answer/1154142?hl=en
The number of users includes everyone who has ever installed your item
in the store, so it is likely greater than the number of weekly
installs.
If the number of users is less than the the number of weekly
installs, this may indicate that users are uninstalling your item.
These user count is supposed to update everyday but it's not always reliable.
The developer dashboard does track the total number of installs and impressions but even then it's only for a limited time period (3 months) and it's sometimes unreliable as there are certain outages where you won't get any data back.
A more accurate way would be to add a listener (chrome.runtime.onInstalled) for the install event and trigger a tracking beacon accordingly. Source: https://developer.chrome.com/extensions/runtime#event-onInstalled
As #Xan stated earlier using google analytics or something similar is your best way in determining the "actual" number of active users (daily, weekly, monthly, etc.) Simply take the values listed on the Chrome web store with a grain of salt.
On a related note a useful tool I've found in quickly seeing total number of "users" as per Chrome Store is My extensions. It helps with getting notified of user reviews as well.