This is #6580 but with a proper reproduction.

I would like to open a URL when the user clicks a point in a scatterplot. TapTool(behavior='inspect', callback=OpenURL()) seems perfect for this behavior. Using the following code, I would expect to obtain a plot that opens a URL when a point is clicked. However, the plot does nothing when a point is clicked.

from bokeh.models import ColumnD

I suggest either adding a short code piece to use the rename() function to change the column "genus" to "genera" (thus alerting the learners to their relationship here, while adding a new function) or changing the column name in the original dataset. Otherwise, I've found that using the correct plural for genus confuses learners who are not biologists. Although it's the R ecology lesson and one

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.

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:
  
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This challenge asks student to print an informative message if there are any records in gapminder for the year 2002. Two solutions are provided, one using any(gapminder$year == 2002) (note any() isn't introduced until later in that episode) and one much more complicated one involving counting the number of rows for the year 2002. It seems to me the only reasonable way to do this is with %in%

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

• 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

In recent (non-Carpentry) Python courses, we have come across learners that have experience with Python and using JupyterLab or Jupyter Notebooks, however are unaware that you can just run a Python script from the command line. We have observed that this has led to some confusion when they've been working with others who use script files.

I'm not for a second suggesting changing the way the les

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

In episode _episodes_rmd/12-time-series-raster.Rmd

There is a big chunk of code that can probably be made to look nicer via dplyr:

# Plot RGB data for Julian day 133
 RGB_133 <- stack("data/NEON-DS-Landsat-NDVI/HARV/2011/RGB/133_HARV_landRGB.tif")
 RGB_133_df <- raster::as.data.frame(RGB_133, xy = TRUE)
 quantiles = c(0.02, 0.98)
 r <- quantile(RGB_133_df$X133_HARV_landRGB.1, q