data-visualisation

As a follow-up to #11540, we would like to add metadata to as many examples as possible. This will not only make the examples more usable as they are right now, but it will also open up new possibilities to search for and crosslink examples.

For the purpose of this issue, 'standalone examples' are all .py files in these folders in this repository:

• examples/plotting/file
• `examples/mode

In many node editor, the connections between nodes are mostly curves rather than straight lines
Visually, this can achieve better results. Can you consider using Bezier curves, etc. instead of the current straight line connection?

There are some examples:

• Github workflow preview:
  
• [

Starting at line 135 the lesson uses view() to open the data in RStudio's Data Viewer.
I suggest adding to the note on line 141 that tibble::view() and utils::View() have similar functionality but are part of different packages which is why the function does not seem to be case sensitive.

Hello, I would like to know if there is already any method developed to match the flight_ids obtained from So6 to ADS-B files. I’m trying to use the assign_id method for both files but it seems to be assigned differnent new flight-ids for SO6 and ADS-B same flights.

Thank you.

The space between Work and flow in the title of the Work flow within RStudio chunk should be removed as workflow is a single word.

Also, in this same section, reference to a .R file occurs without explanation that this is reflective of the R scripts described above. This could potentially b

• I felt like nunique was arbitrarily (re)introduced when it was necessary. It wouldn't be top-of-mind for students solving problems.
• The lesson answers need to be adjacent to the exercises.
• I like the pre-introduction of masks and then circling back around to explain them.
• I feel like Part 4 needs to be broken up and integrated across other lessons: it felt thin on its own.
• Horizo

Dear Community,

There is a typo in the section titled "The StringsAsFactors argument" after the second block of code that demonstrates the use of the str() function. Right after the code boxes is written "We can see that the $Color and $State columns are factors and $Speed is a numeric column", but the box shows that the $Color column is a vector of strings.

Regards,

Rodolfo

https://swcarpentry.github.io/python-novice-gapminder/01-run-quit/index.html
Update in wording

I would like to suggest improvement to the below opening paragraph, found at https://swcarpentry.github.io/python-novice-gapminder/01-run-quit/index.html

"Many software developers will often use an integrated development environment (IDE) or a text editor to create and edit their Python programs

Currently all of the metrics computed are independent of a target variable or column, but if lens.summarise took the name of a column as the target variable, the output of some metrics could be more interpretable even if the target variable is not used in any kind of predictive modelling.

A good example of this could be PCA (see #14), which could plot the different categories of the target va