I use Crystal Reports 11.
What I'd like to do is get a count of the unique days a student was enrolled in one of our many programs. If a student was enrolled in 3 programs in which the dates overlapped, I'd just want to count each day once and get a number.
Example using a student:
Algebra Jan 1 to Jan 10: 10 days
Science Jan 4 to Jan 11: 8 days
English Jan 9 to Jan 13: 4 days
I'd want the answer to be 13.
Good point. If they always over lap then this will work
Create a formula that finds maximum end date and the minimum start date based on patient. Then minus each formula.
i.e.: Maximum({xxx.enddate}, {xxx.patient}) - Minimum({xxx.startdate}, {xxx.patient})
If there are gaps between program dates, this won't work because it will include them.
Grouping the field by the patient name and Using
DistinctCount()
may be helpful.
Related
Good day folks, we have a Google Sheet with training attendance. We are meeting on weekly basis and calculate attendance from the past four months, last 36 month and historical total.
Situation: Currently, we calculate the attendance by assigning 2 (double training)/1 (normal training)/0 (canceled training) to the value of the training and attendee (2 on double, 1 on normal, 0 when absent) - and get attendance percentage by comparing the person's points sum to that of the trainings during the given period (4 months, 36 months, total).
Issue: The problem is that every time we add a training (new row in the tab), we need to manually change date range in the 4 month calculation and end date in the 36 months. I would love to automate this process that every time we add a new column, we would not have to change the date range.
Cells:
C4 = maximum points available per trainings in the last 18 months
D4 = maximum points available per trainings in the last 4 months
C5 and below = user's attendance in the past 18 months (his points generated in that timespawn/total available points*100)
D5 and below = user's attendance in the past 4 months (his points generated in that timespawn/total available points*100)
E3:3 = cells with dates when we have trainings
E4:4 = points awarded per that specific training
E5:5 and below = points gained by the member per attendance
Question: is there any way count a number of training points gained in the past 4/18 months by a specific person?
Thank you kindly
try:
=SUM(FILTER(E5:5; E$3:$3>=TODAY()-120; E$3:$3<=TODAY()))/D$4
I just stumbled on an interesting problem when trying to calculate birthday from age. Basically the idea is to substract a number of years, months and days from the current date. However depending on the order of subtraction eg smaller to larger units or vice versa the result is different.
For example we need to substract 55 years 3 months and 14 days from 2021-01-13
If I subtract the years first the result will be 1965-09-29
If I subtract the days first the result will be 1965-09-30
It all comes from the difference between the number of days in a month. Now I'm wondering which is the generally accepted order.
This is going to be a bit hard to explain but
I have 2 dates, i'm interested in the day and month unless the 2 dates have the same year
2015/12/30 and 2019/01/04
ignoring the year part (kind of) the result i'm expecting 6 days difference for the 2 dates above
if i was to use date.DayOfYear i would get 364 (2015/12/30) and 4 (2019/01/04) respectively
however if the years are same then
2019/01/04 2019/12/30 then the result i'm expecting is 359 days difference
is there a clever way of doing this without peppering the code with if statements?
If the year difference was just 0 or 1, then you could just convert both dates to an absolute value (in seconds, ms, unix time or whatever), subtract the 2 values and convert it to full days. But if you have more than 1 year diff (as 2015 and 2019), then you have to have an "if" an think about what are you actually trying to do there. You shouldn't use DayOfYear, because some years have 366 days, so you can't be sure that 364 corresponds to 1 or 2 days left in that year.
I have a very large table of data containing cricket information. At the moment I am trying to gather the average number of runs per match for Australia (and other countries) in years 2013, 2014, and 2015. I was able to get the average runs per year into a graph and currently I have a bar chart that looks like this:
year 2013 | 2014 | 2015
total runs 1037 | 1835 | 177
but I would like one that divides that total by the number of matches per year (6, 13, and 1 respectively) and looks like this:
year 2013 | 2014 | 2015
avg runs per match 173 | 141 | 177
but I don't know how to conduct a calculation on these numbers to divide that total over the number of games played. There is a column in my set called 'MID' for Match ID. Obviously, summing the number of MID for 2013 would give me the needed number, 6.
Ideally, I would divide the total number of runs by the number of unique items in the MID column, but I do not know how to do this. If this makes any sense at all, would anyone have a simple way of doing this? I would really appreciate it, as I'm essentially experimenting with this on my own and falling way behind on my other projects.
Assuming you have a column named "Runs" and a column named "MID", then a calculation for Runs per Match would be as follows:
SUM(Runs) / COUNTD(MID)
This gives total runs divided by distinct count of Match ID.
In my dataset, I have three columns of data:
CustomerID, BoxCount, MonthCreated
1001 1 Aug 2015
1001 2 Aug 2015
1001 3 Aug 2015
1002 1 Sep 2015
1002 2 Sep 2015
In the screenshot below, I have built a table that displays the count of unique CustomerIDs at each BoxCount level, by cohort (MonthCreated, which is when the customer signed up).
BoxCount level 1 is the full number of people who signed up in MonthCreated X, because everyone who has signed up receives at least 1 box. Then people start cancelling. The number of people who reached BoxCount level 2 for May 2015 (according to the screenshot), is 156,823, or 86.87% of total people who signed up in May (180,525).
I need to create a second column next to the count of customers that displays the % of customers remaining at each BoxCount level, per cohort (people who signed up in the same month).
I have tried using the Quick Table calculation Percentage of Total, with the computation method being "Table (Down)" but it only seems to work for the first month of MonthCreated. I would like for each subsequent month to have 100% for BoxCount level 1, and the following % to be a portion of the number at each month's level 1. I can't figure out why for July, the % starts at 83.89% and not 100%.
Can anyone help me figure out how to calculate this percentage and also to add it as a new column instead of replacing the column of raw counts?
Thanks!
Looks like you're almost there. Did you try changing the calculation definition by changing the values it summarizes from or the level?
Some example:
And for it to be replacing the column of raw counts, you can just add the raw counts column again in your view and you'll have both.