Merge pull request #27 from fhdsl/S4

plot blob
fhdsl · Sep 10, 2024 · 5f74cf7 · 5f74cf7
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diff --git a/05-data-visualization.Rmd b/05-data-visualization.Rmd
@@ -56,7 +56,7 @@ expression = pd.read_csv("classroom_data/expression.csv")
 To create a histogram, we use the function [`sns.displot()`](https://seaborn.pydata.org/generated/seaborn.displot.html) and we specify the input argument `data` as our dataframe, and the input argument `x` as the column name in a String.
 
 ```{python}
-sns.displot(data=metadata, x="Age")
+plot = sns.displot(data=metadata, x="Age")
 ```
 
 A common parameter to consider when making histogram is how big the bins are. You can specify the bin width via `binwidth` argument, or the number of bins via `bins` argument.

diff --git a/slides/W1.ipynb b/slides/W1.ipynb
diff --git a/slides/W1.qmd b/slides/W1.qmd