docs: Improve installation.rst

* Add installation command for installing with extras using `pip`.
* Add section on how to render Plotly interactive plots in Visual Studio Code.

docs/installation.rst

@@ -17,6 +17,9 @@ or you can add edvart into your environment file defined by `pyproject.toml`:
    edvart = "|VERSION|"
 
 
+Extras
+------
+
 edvart also has an optional dependency "umap", which adds a plot called UMAP
 (Universal Manifold Approximation) to Multivariate Analysis. To install edvart with the optional
 extra, replace the above snippet of the `pyproject.toml` environment file with the following
@@ -28,6 +31,18 @@ snippet:
    python = ">=3.8, <3.12"
    edvart = { version = "|VERSION|", extras = ["umap"] }
 
+To install edvart with the optional "umap" dependencyvia pip, run the following command:
+
+.. code-block:: console
+
+   $ pip install "edvart[umap]"
+
+
+Plotly
+======
+
+JupyterLab
+----------
 
 To display interactive plots which use Plotly in JupyterLab, you need to install some JupyterLab
 extensions.
@@ -42,3 +57,14 @@ https://plot.ly/python/getting-started/ or simply run the following commands
    jupyter labextension install [email protected] --no-build
    jupyter labextension install [email protected] --no-build
    jupyter lab build
+
+Visual Studio Code
+------------------
+To display interactive plots which use Plotly in Visual Studio Code notebooks,
+you need to install the following extensions:
+
+* `Jupyter <https://marketplace.visualstudio.com/items?itemName=ms-toolsai.jupyter>`_ is required to
+  run Jupyter notebooks in Visual Studio Code.
+* `Jupyter Notebook Renderers <https://marketplace.visualstudio.com/items?itemName=ms-toolsai.jupyter-renderers>`_ is required
+  to render Plotly plots in Visual Studio Code notebooks.
+