Reductio | Automatic summarizer text in Swift | Natural Language Processing library

It was in fact a reductio "problem" as it creates a more complicated group object

e.g.

We can use a fake group to accumulate values the way that is needed for the baseline and final value:

Flattening is often a good idea when dealing with crossfilter. It should work fine, and probably won't affect performance.

But I agree it's probably not necessary here.

You should be able to use a custom reduction to read the data from the statewise array and update multiple fields of a value object in each bin.

Off the top of my head, without being able to test, maybe something like

To summarize your question, you want an ordinal range/focus bar chart with bars sorted in descending order. To make things even more interesting, the groups are reduced using reductio.max.

I think the idea of overriding .all() to call .top() using the group's order is a false lead (although it could probably be made to work).

In the ordinal focus/range chart example which you use in your bl.ock (thank you!), we map the ordinal keys, in order, to integers on a linear scale.

It's easy to sort the values before doing the mapping, and it looks like the ordinal_to_linear_group function anticipated the need by taking sort as the second parameter. However it wasn't implemented, so let's add it!

Replacing './lodash' with './app/js/universe/src/loadash' so that I use absolute paths instead of "relative" path since AngularJS thinks ./loadash is /loadash#! for some reason I don't know why.

Top of universe.js file

I don't know if reductio supports this; I guess it would be some sort of exception-array operation in that vocabulary.

Here is one way to do it with straight crossfilter and dc.js:

you always have a good way to re-arrange the data, after you have fetched it and before you feed it to crossfilter ;)

In fact, it's pretty much mandatory as soon as you handle non string fields (numeric or date)

You can do a reduceSum on multiple fields

First I need to point out that your data is denormalized, so the counts you get might be somewhat confusing, no matter what technique you use.

In standard usage of crossfilter, each row will be counted in exactly one bin, and all the bins in a group will add up to 100%. However, in your case, each row will be counted twice (unless the two fields are the same), so for example a pie chart wouldn't make any sense.

That said, the "tag dimension" feature is perfect for what you're trying to do.

The dimension declaration could be as simple as:

While looking at your data and based on your explanation, avg calculation can be achieved using custom reduce function. By using the dateDimension to create grouping function to get the average. So regardless of the slr_Name and mrq_Requester_dep_title, It will create group for each date with sum up the fdl_UniyPrice.