promised | NOW PART OF SHOULD.JS DO NOT USE ANYMORE

A follow-on question / issue to

Programmatically open nested, collapsed (hidden) node in d3.js v4

updated for d3.js v6. The issue is the loading of external JSON data in the d3 collapsible menu visualization, and the programmatic access of nested (collapsed, hidden) nodes.

It appears that "treeData", which is the loaded Object, is not being delivered.

I am trying to programmatically open d3.js nodes in a collapsible tree:

I load the data with the following d3.js snippet (which collapses the nodes after the second level),

original template :https://echarts.apache.org/examples/zh/editor.html?c=bar-polar-stack-radial

I am unable to change the outmost axis line(outmost circle) color and would love to know how. outmost axis i used dark mode on echarts website to turn the outmost line into greyish white.
output using echart would love the correct method to change that line color instead of using dark mode any ideas would help, thank you

This is my first time asking a question on the forum for a problem, please be indulgent. Let me explain, I have created a Vuejs component that displays user data from an axios HTTP request to my server.

The user's information is grouped in an object with these fields:

• id: int
• email: string
• firstname: string
• secondname: string
• ...
• dogs[]

It's the last field of the object that I have a problem with. Indeed, my api returns the user's dog information in a dog object array. These dog objects can have a picture_serial_id which allows me to call another HTTP axios request to return the dog picture in base64.

So I make my first HTTP request and with its result, I browse all the elements of the dog object array of the response in order to make the second HTTP request which takes as parameter the "picture_serial_id" field to return me the picture in base64.

This is where I think the problem lies, during the second call to retrieve the dog's picture in base64, I add a new field to the dog object passed as reference during my request containing the picture in base64 that I called "base64_picture". Indeed, I want to display in my view this picture when it exists but unfortunately, the display is done before loading the picture in base64 in the new field "base64_picture".

HTTP requests work well and the user data is also displayed very well.

template tag

For example:

Client Side

I have a issue with a table that has missing data from some rows, I need to copy the Artist column from another row that matches on title

I wonder why this code don't edit the facebook href attributes.

I'm pretty sure it should works.

I get error in console Error: Promised response from onMessage listener went out of scope

The code:

In this question / answer from 5 years ago about logLik.lm() and glm(), it was pointed out that code comments in the R stats module suggest that lm() and glm() are both internally calculating some kind of scale or dispersion parameter--presumably one which describes the estimated dispersion of the observation values being predicted by the regression.

This naturally begets another question: if it's truly a real parameter being estimated by the fit algorithm somewhere (or even if it's just some kind of implicit / effective parameter), how do I access this parameter from the resulting fit object?

I've produced a MWE (plus supporting setup / plot code) below:

• Part 1 constructs some simulated input data, which we'll fit to a straight line (implying two fit parameters are expected). Given the question is about a hidden, internally modeled dispersion parameter, I wanted to make sure the fit algorithm is forced to do something interesting, so therefore 10% of the points have been deliberately modeled as outliers. If you understand what's shown in the plot below, then you can probably skip reading this portion of the code.

• Part 2 is the main body of the MWE, illustrating the point that my question is asking about: it runs glm() on the input data and examines some of the results, demonstrating that logLik() claims three parameter estimates, in apparent disagreement with glm() which seems to give two.

• Part 3 just produces a little supplementary figure based on the input data and results. It's only included for completeness & reproducibility; you can probably skip reading it too.

I am new in HQL and I have a table where:

1. column A corresponds to merchant name,
2. column B >> merchant ID
3. column C >> promised shipment (in business days) [named shipmentday]
4. column D >> nr of SKUs that merchant has on shipmentday basis [named listing_count]
5. column E >> corresponds to the total number of SKUs of that merchant [named total_listingcount]

Is there an easy query to calculate weighted shipmentday average per merchant with HiveQL like I did on Excel? (Since shipmentdays may vary, not every merchant has the same number of rows)