I am using the v2 LinkedIN API (ShareStatistics_TimeBound) via the Data Virtuality Connector.
I receive strong negative values for the likeCount column at the beginning of some months (e.g. for 1st July: -43).
I am aware that the likeCount column can be negative if many people have unliked the comment. However this seems to be a large number and it is striking that strong negative numbers appear at the beginning of months.
Could there be an explanation in how the metric is measured?
Thank you for your help!
Related
I am struggling to come up with a formula that fits certain criteria and was hoping someone with a better math brain than me might be able to help. What I have is a Google Sheets based tool that determines how much a someone has purchased of a product and then calculates the amount of times a special additional offer will be redeemed based on the amount spent.
As an example, the offer has three tiers to it. Though the actual costs will be variable for different offers let's say the first tier is gained with a $10 purchase, the second with a $20 purchase and the third with a $35 purchase (the only real relationship between the prices is that they get higher for each tier but there is no specific pattern to the costing of different offers). So if the customer bought $35 worth of goods they would get three free gifts, if they bought $45 worth they would get 4 and then an additional spend of $5 (totaling $50) would then allow them to redeem 5 gifts in total. It can be considered like filling a bucket, each time you hit the red line you get a new gift, when the bucket is full it's emptied and the process begins again.
If each tier of the offer was the same cost (e.g. $5, $10 and $15) this would be a simple case of division by the total purchase amount but as there is no specific relationship between the cost of the tiers (they are based on the value of the contents) I am having trouble coming up with a simple 'bucket filling' formula or calculation method that will work for any price ranges given to it. My current solution involved taking the modulus, subtracting offer amounts from the purchase amount etc. but provides plenty of cases where it breaks . If anyone could give me a start or provide some information that might help in my quest I would be highly appreciative and let me know if my explanation is unclear.! Thanks in advance and all the best
EDIT:
The user has three tiers and then the offer wraps around to the start after the initial three are unlocked once, looping until the offer has been maxed out. Avoiding a long sheet with a dynamic column of prices would be preferable and a small, multicell formula would be ideal
What you need is a lookup table. Create a table with the tier value in the left column, and the corresponding number of gifts for that tier value in the right column. Then you can use Vlookup to match the amount spent to correct tier.
I am not quite sure about, everything into one entire formula(is there a formula for loop and building arrays?)
from my understanding the tier amounts are viable, so every time you add a new tier with a new price limit then it must be calculated with a new limit price number...wouldn't it be much easier to write such module in javascript than in a google sheet? :o
anyways here is my workaround, that may could help you to find an idea
Example Doc
https://docs.google.com/spreadsheets/d/1z6mwkxqc2NyLJsH16NFWyL01y0jGcKrNNtuYcJS5dNw/edit#gid=0
my approach :
- enter purchases value
-> filter all items based by smaller than or equal "<=" (save all item somewhere as placeholder)
-> then decrease the purchases value by amount of existing number(max value) based on filtered items
-> save the new purchases value somewhere and begin from filtering again and decreasing the purchases value
(this needs to be done as many times again, till the purchases is empty)
after that, sums up all placeholder
I am tracking a number of events on a website and am trying to extract some analytics data via the api. The problem I have found can be boiled down to this scenario. If I want to know how many unique events have happened per day, I can run a query such as:
?start-date=2016-02-19&end-date=2016-02-24&metrics=ga%3AuniqueEvents&dimensions=ga%3Adate
which will give me table of the number of unique events per day from Feb 19th to Feb 24th. In my specific example, I will have a row that say I had 12914 unique events on Feb 22nd.
If I now change the time period for the query to something like this:
?start-date=2016-02-01&end-date=2016-05-01&metrics=ga%3AuniqueEvents&dimensions=ga%3Adate
I will basically get the same table, only from Feb 1st to Mai 1st. Was suprises me though is, that now the column for Feb 22nd reads 12966 events, while my assumption would be, that this number should actually stay the same.
Is there something I'm missing here? In which scenario would these numbers make sense? Thanks for your help!
Check the API response for the value of containsSampledData.
Sampling is the practice of selecting a subset of data from your traffic and reporting on the trends available in that sample set.
You can specify the sampling level to use for a request by setting the samplingLevel parameter to HIGHER_PRECISION.
You can also try simplifying your request by shortening the date range, or requesting fewer dimensions.
I am having a few issues with the sensor data that is returned from the iOS SDK. For calories, I am returning 86311 calories instead of 2708 that is displayed on my band. Also, distance is supposed to be retuned as centimeters, but my values are inconsistent there as well.
For contact status, I do not even get results.
I'm not doing anything special other than using the "UpdatesToQueue" functions.
Has anyone else seen these issues?
Thanks,
Harry
The calories and distance returned by the SDK are totals since the band's last reset time. whereas the calories and distance displayed on the Band are daily values.
Right now I detect the credit card type based upon the first four numbers of it.
How often do these first four digits change? Is there a service which can interface with ASP.NET that will keep an up to date list of these first four digits and their corresponding institutions?
According to the Wikipedia article on this, the last significant change to this list was in 2007. Keeping your software up to date shouldn't be too challenging, even if you do hard code this.
Sorry to disagree with the other answerers, but the first six digits (not four) of a card number are known as the issuer identifier range. New ranges are FREQUENTLY added or removed to this list. You would typically need to be on a mailing list from the card issuers to even attempt to keep up to date
This document from Barclays (UK) for example shows a number of revisions in the last few months, such as the addition of a 6440-6599 range for Diners card. http://www.barclaycard.co.uk/business/documents/pdfs/bin_rules.pdf
Basically, attempting to identify card from the IIN is tricky at best. It's not clear why you want to identify a card from the IIN, but it typically isnt necessary if you are performing authorization through a payment gateway
At risk of answering your question without answering it, have you seen this? How do you detect Credit card type based on number?
GA Unique Visitors data isn't making sense to me. From the GA FAQ we get the following definition for 'Visits vs. Visitors'
"The initial session by a user during any given date range is considered to be an additional visit and an additional visitor. Any future sessions from the same user during the selected time period are counted as additional visits, but not as additional visitors. "
The part that I can't resolve with the GA graph is "Any future sessions from the same user during the selected time period are counted as additional visits, but not as additional visitors". For the graph below covering a 30-day period, I would understand the GA definition to mean that the data represents uniqueness across all 30 days, right? But if you look at the screen shot below, you see a regular pattern for each week over the 30-day period the report covers. From that, it seems the numbers we are seeing associated with each of the days of the graph (e.g. 3.92% (4142) for Tuesday, September 8) is a count of unique visitors just in the context of that one day - i.e. without correlating their uniqueness to the rest of the days in the 30-day period. If the graph actually showed uniqueness across the 30-day period, I would expect the daily numbers to start high in the early days of the period and decrease over the 30-day period as the number of already-seen visitors (i.e. returning visitors) increases, no?
What am I missing here?
UPDATE
Helpful clue from Jonathan S. below got me on the right track.
I think I understand now what the daily bar graph values mean, but it's a little counter-intuitive and I'd bet not what some others might be assuming as well. The reports states "39,822 Absolute Unique Visitors" at the top, which means just that: over the 30-day period we saw this many uniques. Fair enough. The confusing part is that the daily (or weekly) bar values in the graph below are not mutually exclusive uniques as I had assumed, but are values relative only to the 39,822 total - i.e. there is overlap between the unique visitor counts across any group of days. This means the sum of the daily % values > 100% and the sum of the daily count values > 39,822. The algorithm is: when you visit for the first time in the 30-day period, call that "today", you add 1 to the total (39,822) and 1 to the "today" bar value. When you show up again "tomorrow", you are NOT counted again in the total, but ARE counted as 1 in the "tomorrow" bar value.
alt text http://img.skitch.com/20090922-djti81ejj5gqn575ibf8cj1e8x.jpg
I believe it's just an issue of grouping. The top right of the graph has 3 icons to group by day, week, or month. It's currently grouping by day. So if I visit your site today and come back tomorrow, I'll be counted once for each day.
I tried looking at the month view for one of my sites but it didn't give me much meaningful data. I believe the above should answer your original confusion though.
Is it possible that you're searching for something what isn't existing anymore? Unique Visitors/Visits is old terminology. Check: https://www.seroundtable.com/google-analytics-sessions-users-18424.html
Then check how sessions and users are defined:
Sessions ("ex-visits", it's very detailed): https://support.google.com/analytics/answer/2731565?hl=en&ref_topic=1012046
Users in Google Analytics reporting are defined as "Users who have initiated at least one session during the date range". So IMHO it's not about 30 days, it's about the SELECTED date range.
I hope this helps.