cue | Job Queue for Meteor | Job Scheduling library

I have applied the Conditional formatting to select a cell and color it

Considering the maroon cells, I currently just use the visual cue to copy paste the text in column C and then there are regex formulas to create the adapted code in cell D.

Instead of manually copying the text from A6 to C4 (in this case) is there a way to get the sheet to populate C4 with the first cell in A that has the maroon color (in this case A6)?

Searches only show results about filtering by color and not selecting by color.

I can easily make an alert on a website using:

What I try to do: I want to write a Python program running on an RPI which communicates to a software called QLab4 via OSC. It should display the received workspace data (JSON format) in a table, while the user is able to select a cue from the table and fire it using a key press.

So far I got two scripts (just proof of concept stage), but I struggle to combine them into one program. Any hints to how to do it would be greatly appreciated.

Script 1: Starts OSC client & server and sends and receives OSC to/from QLAB. At the moment it just prints out the JSON (workspace) and the selected cue.

I am working with R. I have a data set that looks like this.

Trying to improve a script to gen cue files, I've come up with an improvement that I hoped would be close to ideal PowerShell scripting. Sadly, it outputs a header but the subsequent (expected lines are not written to file, they are displayed on the console.

I think I am munging external variables and failing to pass them to a here-string, but I am confounded. Here is my entire script:

I use targets as a pipelining tool for an ML project with H2O. The main uniqueness of using H2O here is that it creates a new "cluster" (basically a new local process/server which communicates via Rest APIs as far as I understand).

The issue I am having is two-fold.

1. How can I stop/operate the cluster within the targets framework in a smart way
2. How can I save & load the data/models within the targets framework

A minimum working example I came up with looks like this (being the _targets.R file):

I am trying to update the values of Column C2 and C3 based on conditions:

• The variable C2 is equal to 1 if the type of cue = 2, and 0 otherwise.

• The variable C3 is equal to 1 if the type of cue = 3, and 0 otherwise.

Data frame Image: https://drive.google.com/file/d/1Enik09cXQ21d3cQQv0_YQDZGBb3Btm5n/view?usp=sharing

I'm trying to use click events using the plotly_click option in RShiny. What I want to do is: On clicking the plot, the dataset corresponding to the click event is displayed. So when I click on 'Office Supplies' in categories on the plot, dataset corresponding to category column='Office Supplies' is displayed. Similarly, when I drill down to sub category level and click on any of sub category in the plot, dataset corresponding to the sub category is displayed. But what I am not able to achieve is: that when I click on 'Back' action button, I see an empty data table and not data table corresponding to key 'Office Supplies' i.e. On clicking the back button, I see an empty table which is what I don't want. How should I do this?. Any help would be appreciated. Below is my code:

I have been trying to create a table that looks publishable, but I have not been successful.

I have many tables that have very similar coding. The code looks like this...