tissue | Visualize local network traffic | Networking library

I have a React front end and Node with Express server. When I build and run it on my computer everything works perfect. When I build and run it on my Azure Ubuntu VM the server starts successfully and it hosts the React front end and I can access it no problem. But I get a "net::ERR_CONNECTION_REFUSED" in the console when it tries to access the node server. I then noticed that if my server was running on my computer the React app hosted on the Azure VM would hit the server on my local computer and not the one on the Azure VM.

So, how do I get the React app hosted on the VM to properly point to the server/vm it is hosted from?

The file structure of the app is:

These are the grocery store lists:

I have the code below to open a site and search for a specific gene (examples for testing mentioned: AXl, TREM2).

This works sometimes, if I run the code mutliple times and/or change the gene I am searching for it crashes at :

I have a plot I make using a website called Revigo that provides an R script (included below) to create a plot like this:

I'm looking to see if it's possible to perform and visualize a clustering on top of these points in the same graph? Since this plot looks like one big circle I'm trying to see if there are any smaller groupings within it that I can highlight. I have a biology background so I'm not sure where to start with trying to get this visualization in the same plot. I have explored using hclust() but I don't know the steps to bring clusters to be shown on top of this graph.

The code and data that gives the plot above is:

I have a heatmap where the text for the y-axis keeps getting cut off. The text gets cut off whether I try to save the image manually in RStudio export, or using:

I have a dictionary that look like this

I have a dataframe with X rows and X columns. I would like to display only a part of the table which is sorted (case-insensitive).

I.e., if I extract only a particular column with their count based on the unique rows say df.ROI.values_count() I get an output that looks like the following:

I have thousands of txt files like the following (the values are made up):

The purpose

For university research I try to process data of clinical studies publicly available here.

For reproducibility, I would like to directly use the downloaded JSON or XML files (and not to retrieve the data via the web API, which has been described: how-to-get-data-out-of-nested-xml-structure).

Update 1: The structure of the JSON file is published here

Update 2: The structure of the XML file is published here

I think tidyjson::read_json and tidyjson::spread_all do the trick! See the answer section.

What I need

For my workflow, I need to convert the data to data.frames (tidy data.frames would be even better). I prefer JSON, hoever, if there was a solution for the XML format I would be very glad.

Test data

A nested list that I generated of one of the downloaded JSON files with jsonlite::fromJSON("NCT0455805.json")