Files that changed from the base of the PR and between c98b2e7 and 08f0b29.

• docs/tutorial/additional_features.rst (1 hunks)
• docs/tutorial/interaction_visualization_reporting/tutorial.rst (1 hunks)
• docs/tutorial/tutorial.rst (1 hunks)

docs/tutorial/additional_features.rst (1)

225-226: LGTM! Well-structured tutorial reference addition.

The added reference to the interaction, visualization, and reporting tutorial provides a natural progression for users learning Snakemake's features.

Let's verify that the referenced tutorial exists:

✅ Verification successful

The previous search might have been too specific. Let's try these broader searches to:

1. Find the exact reference label
2. Locate files with similar names
3. Find mentions of this tutorial in table of contents or index files

This will help us verify if the tutorial exists and if the reference is correctly defined.

---

Reference link is valid and correctly used

The tutorial reference is properly defined and linked:

• The target tutorial exists at docs/tutorial/interaction_visualization_reporting/tutorial.rst
• The reference label .. _interaction_visualization_reporting_tutorial: is correctly defined in the target file
• The tutorial is properly included in the documentation structure via docs/index.rst

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Verify the existence of the referenced tutorial file
# Test: Check if the referenced tutorial file exists
fd --type f "interaction_visualization_reporting/tutorial.rst" docs/tutorial/

Length of output: 77

---

Script:

#!/bin/bash
# Let's try a broader search for the tutorial reference
# First, search for any .rst files containing the reference label
rg ".. _interaction_visualization_reporting_tutorial:" docs/

# Also search for files with similar naming patterns
fd "interaction.*reporting.*\.rst$" docs/

# Check for any mentions of this tutorial in index or toc files
rg "interaction.*visualization.*reporting" docs/ -g "*.rst"

Length of output: 1193

docs/tutorial/interaction_visualization_reporting/tutorial.rst (1)

288-292: Consider adjusting the cylinder count domain range.

The domain range of 0-16 for cylinder counts seems unnecessarily wide. Most cars typically have between 3-12 cylinders. Consider adjusting the domain to better match the actual data range for more effective visualization.

Let's verify the actual cylinder range in the data:

✅ Verification successful

From the context, I can see that the data comes from the vega_datasets.data.cars() dataset, which is a well-known standard dataset. The domain range of 0-16 for cylinders is actually reasonable for this visualization because:

1. It's a standard practice to start numeric domains at 0 for better visual interpretation
2. The upper limit of 16 provides enough headroom for all possible cylinder counts in the dataset (typical cars in this dataset have 4-8 cylinders)
3. The linear scale with this domain creates a proper visual representation of the relative differences between cylinder counts

The cylinder count domain range (0-16) is appropriate for this visualization.

The current configuration provides a clean and interpretable visualization where:

• The zero-point anchor helps establish a clear baseline
• The upper limit of 16 ensures no data point will be cut off
• The white-to-blue color scheme provides good contrast for the heatmap

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Check the range of cylinder values in the cars dataset
cat resources/data/cars.tsv | awk -F'\t' 'NR>1 {print $3}' | sort -n | uniq

Length of output: 133

---

Script:

#!/bin/bash
# Let's first find the actual data file location
fd -t f "cars" --full-path

# Additionally, let's check the tutorial content to understand the data source
rg -A 5 -B 5 "cars.*\.tsv" docs/tutorial/interaction_visualization_reporting/tutorial.rst

Length of output: 3291

---

Script:

#!/bin/bash
# Let's check the notebook that generates the data to understand the data source and ranges
fd -t f "get_data.py.ipynb" --exec cat {}

# Also check the datavzrd config to see if there are any comments about the cylinder range
fd -t f "cars.yaml" --exec cat {}

Length of output: 2429