Sex | Perl teaches the birds and the bees | Continuous Deployment library

I have been trying to make a simple API, I need to send a request that will return a list of all individuals if they meet my criteria.

results = collection.find({'sex':'male', 'country':'usa', 'age':30})

This would give me all males in usa who are 30.

What I am looking for is something like

results = collection.find({'sex':'male', 'country':'usa', 'age':ANY})

Which should give me ALL males in usa regardless of age.

Is this possible?

Hi am trying to do a CRUD application am able to do the add user but i got stock with the edit user Actually for my edit user page i just copied the add user page there and then modified it

This is what my app has to do: normally when i enter the edit user page it has to show me the user's existing information then on my part i can now modify it if i wish and then it is stored in my mysql database but it doesn't return anything i actually console logged it to see if it returns anything but it doesn't

I found an answer for regplots, but I can't get the same code to work for relplots. I want to change the transparency of the confidence intervals while keeping the lines of my graph darker, but the alpha input for relplots makes the entire graph more translucent.

My code:

I got the following table to populate (range D6:J15) as I search the data in another sheet, based on a date criteria found in row 4:

This is where I'm to look for the data, considering Col A as the basis for the criteria:

My difficulty is to concatenate the data, as they meet the criteria.

This is the code I'm working on:

I'm trying to limit a calculation only when a field is blank. I have many other fields that are calculated simultaneously, I would like to limit the calculation to only the fields that have not been filled.

I don't know JS very well, so I hope to be able to find help here ... Thanks for any answers, I leave more info below.

Basically everything works fine. However, when the bodyfat field is empty, the calculation for BMR and TDEE Katch McArdle and Cunningham Formula is performed.

What I am trying to do is to calculate the McArdle and Cunningham Formula fields only when the Bodyfat field contains values.

I posted a similar question a week ago but I failed to identify the real problem. Therefore, the question was far from being correct.

Now, I clearly now what is going on but I cannot understand why it is happening. I also reviewed similar problems related with the same error but the solutions for these problems were not applicable to my case.

I am plotting the frequency distribution of a variable during the fieldwork progress of a survey. Therefore, it shows how the proportion of that variables has changed through time.

So, I have a variable (Startday) that tells which day the respondent took the survey, if he/she did not then it is NA. Then, I have the typical variables like sex or marital status.

This is the code to plot such graph

I have three large dataframes and I want to append some of the elements from one onto another based on several criteria. I looked up similar questions in Stack Overflow but they don't seem to work for my dataframe format (or I'm not skilled enough to adapt it properly).

What needs to happen is:

1. Filter by sex in maindf1
2. Search for the same ZCTA value in maindf1 in a rowname (first column) in maledflookup
3. Also search for the right age strata from a row in maindf1 in the column name of maledflookup
4. Add a new column of data to maindf1 row with matching ZCTA that has the census population value for that sex and age strata taken from maledflookup
5. Repeat with femaledflookup
6. End result is maindf1 having a censuspop value for every row that was matched by sex, ZCTA, and age strata

maindf1 is raw data where each row is an individual and columns are survey responses or collected data on individuals

The lookup table from the census website I had to use is in weird formatting so the easiest solution for me to fix one of the issues with it was to separate the lookup tables by sex first.

I had no luck in writing successful code as I'm not very experienced with coding in R yet. I tried some for & if loops and failed at adapting fuzzyjoin code for this task. I appreciate your help!

Example data:

I have a list of dataframes

I'm trying to make QTableView auto-adjust the height whenever column width is changed, I have sub-classed QHeaderView though I was not able to actually utilize it, I'm using sectionResized signal of QHeaderView whenever column width is changed, and on the basis of new columns and the string length for the column header, I'm trying to estimate the height.