I am confused with concept of range order and price range set in Uniswap.
Is range order put from user side while trying to order a swap? or set in LP side?
Regarding of the price range, from the documents I read, my understanding is that LP can put a price range for providing the liquidity, if the price shifts out of the range, that LP's liquidity will be not entitle for the swap order thus no earning i made. In this scenario I think the asset should be locked, the 'My' 2 tokens' allocation should be kept until the price falls into my range. Is this the case? In my exercise all my ETH convert to USDC while the market price move out my range, why does this happen?
Thanks,
S
Related
like Ola, Uber etc. how they calculate fare
Example when I start from one point to another (like 1 to 2km) shows amount that is 40 rs
how they calculate use map distance in code or something else in code can u please explain how it work? Simply how it works fare system works?
This is lifted directly from the Uber website:
Many data points go into calculating an upfront price, including the
estimated trip time, distance from origin to destination, time of day,
route, and demand patterns. It also includes tolls, taxes, surcharges,
and fees (with the exception of wait time fees).
Some cities do not provide upfront prices. Instead, you’re charged
either a minimum price or a price based on the time and distance for
your trip’s route, which may include a base fare, a Booking Fee,
surcharges, tolls, and dynamic pricing. Prices may vary by location,
the vehicle option you select, and other factors.
So it sounds like a combination of any relevant data points your app is able to collect and that you feel should be considered billable are applied to the calculation. I imagine you would want to use the map distance rather than a predefined route in case of detours, traffic, etc.
I have transactional data for a sales team showing the transaction amount per transaction, the sales person for that transaction, his team and his salary. Every row denotes a unique transaction (please refer image). I need to make a team-level graph which shows the correlation between the salary they are paid and the revenue they generate for the company i.e. a simple stacked bar chart with salesTeam name on X axis and amounts on the y axis with every bar representing the total salary and total revenue(Amount) for a team.
In the example I've highlighted team 'Central', for which the salary paid is 25k (10k for salesperson A + 15k for salesperson B) and the revenue they make for the company is 430k. Please note that the salaries for some salespersons may be missing (eg. for E). The issue I'm facing is that sum(Salary) adds up the salaries for every row, so for salesperson A it becomes 20k instead of 10k. I tried avg(Salary) but that doesn't work as Tableau calculates the average for the entire column instead of average per salesperson. How can I solve this issue?
Thanks
Here you have a level of detail problem. Basically, Tableau will calculate a formula at the level of detail of the visualisation, so if salesperson is not in your view it will roll up the equation to calculate at the highest level. This is great when you want a dynamic calculation but that doesn't sound like what you are trying to achieve.
Your best option would be to aggregate the data into Tableau so you only have 1 line per sales person with a total of their revenue for all transactions. This would avoid the complexity of the calculated field (and make Tableau perform better).
However, if this is not possible the good news is the answer is a Level of Detail expression (i recommend doing some reading on this if you havent come across before). Basically, you tell Tableau at what level you want the calculation at.
If I understand you want to calculate the ratio of transaction amount and salary paid for each team.
So create a calculated field as follows:
{ FIXED [Team]
: sum(([Amount]))/
(sum({ FIXED [Sales person]:
AVG([Salary])}))
}
What this does is calculates for each team the ratio between the amount and the salary. The use of the second fixed equation that is nested within it (Salesperson) ensures that the salary is not summed for the number of transactions of a salesperson.
Using this I got a result of 17.2 for Central. Is this what you would expect? Do you need a way to account for salaries that are not known?
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
How does AX calculate the Cost Amount Physical on inventory transactions (Inventrans table)?
When posting packing slip in purchase order, transaction records are created in the Inventrans table, this table has a field (CostAmountPhysical)
How does AX calculate the value of this field?
Sometimes this value is different to the net amount calculated in each item of the purchase order?
The CostAmountPhysical field is calculated in the InventMovement.updateLedgerPhysical method.
There is no easy explanation of how and why it is calculated. Go and have look in the code.
Please update you cross reference, this simplifies questions like this one enormously.
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.