typology | A data validation library for Node.js and browser | Runtime Evironment library

I have a tricky challenge on a project that I'm not sure quite how to approach or even if it is possible at all.

I have a dataset where the values for two metrics (MetricA and MetricB here) are scraped from government reports from a range of different countries. The data is in a Tidy (long) format and each row is an observation for one metric for one area for one age group.

I am reporting the age ranges for each metric for those less than 15 years old (and for those who are 15 years old and older. The tricky thing is that many countries, but not all, use that typology.

Those countries where the reported values can't be mapped to this typology are discarded and those countries where data is incomplete for all ages is discarded. So, for example, something which had values for "< 15 years old", "15 to 49", "50+") would be kept, while a different country which had "< 18" and "18-49", but that's it, would be discarded, since it didn't have the "50+" people.

So, the challenge is this, I need to be able to pick out only those countries where the rows for that country cover the full gamut from 0 to whatever (I've been using 199 years old as a hypothetical max age in this case), with no overlap between age categories, with a break in those categories so that the data can be aggregated to form both a LT15 (Less than 15 years old) and a GTE15 (Greater than or equal to 15 years old) category. These are marked by minimum_age and maximum_age in my dataset. The proxy value for maximum_age when the value is to infinity (e.g. "18+" or ">59 years old" is 199.

Ideally this would use Tidyverse, but any package that could make this work would be fine.

A reprex for my dataset is here. In this case the Portuguese data would be discarded because there was no information for the 51 and greater age category.

I have the following HTML Markup:

Hi i have these 4 tables: users, dishes, dish_order, orders.

users: some fields no foreign key

dishes

• id
• name
• desc
• price
• visible
• type
• user_id

dish_order

• id
• dish_id
• order_id

orders: some fields no foreign key

These are the models: User, Dish, Order.

User:

I have a map that displays a marker for every diferent public facilities in a city and I want to have a group of checkboxes to filter this facilities according to its typology, one checkbox for typology. Each typology will have multiple markers and the map will only show the checked ones.
I'm using react-leaflet v3.

This is what I tried to do:

I'm currently creating some route and for one of them I have a problem. Usually I have a data file and then a done file which have the same name prefixed by "ACK" and this works perfectly with camel and the doneFileName option.

But for one of my route I have to work with a different situation, I still receive two files but they have the same typology, it's like: MyFILE-{{timestamp}}. The data file contains the data, and the done file contains just "done".

So I need something to check the content of the file, and if it's juste "done" then process the other file.

Is there a way to handle this with camel?

I want to generate a random number within a range while considering a mean value.

I have a solution for generating the range:

In my collection I have a category array as below.

I receive another array to my API like below

I am using the following code to retrieve the data from mongodb. Somehow when I added the $match to the code it returns empty set. Without it I get my results fine so there is no any other error. What can be the error in $match . How can I fix it ?

This is the code in my API?

Im trying to graph types as shown here http://traminer.unige.ch/preview-typology.shtml

I can only fit 8 types in my screen until i get the error Error in plot.new() : figure margins too large. That´s as far as my UI goes, I can't make the graph interface any taller.

I'm trying to make more types, is there any way I can do this?

This is the plot I'm trying to do.

seqIplot(f3.seq, group = cl1.4fac, sortv = "from.end",with.legend = "none", xtlab=c(rep(18:29, each = 1)))