Add readme.

README.md

@@ -0,0 +1,17 @@
+
+These notebooks were created for the Visualisation and Tidy Data workshop, part of the Advanced Scientific Programming in Python Summer School.
+
+You can create and activate a conda environment from the `environment.yml` file using
+
+```
+conda env create -f environment.yml
+source activate aspp-visualisation-env
+```
+
+Depending on what version of Jupyter you're running, you may need to launch this notebook with a higher data rate limit so that visualisation libraries are not throttled in communicating with the browser, e.g.
+
+```jupyter notebook --NotebookApp.iopub_data_rate_limit=10000000```
+
+This issue is referenced [here](https://github.com/jupyter/notebook/issues/2287).
+README.md (END)
+

Seaborn.ipynb

@@ -18,7 +18,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "* Some of the plotting libraries we use need to communicate a lot of data to the browser. Depending on which version of Jupyter you are running, you may need to launch this notebook with a higher data rate limit: `jupyter`\n",
+    "* Some of the plotting libraries we use need to communicate a lot of data to the browser. Depending on which version of Jupyter you are running, you may need to launch this notebook with a higher data rate limit: `jupyter notebook --`\n",
     "\n",
     "* In general, we are using plotting libraries that return objects encapsulating the plot. You can check the type of these returned objects with `type()`. Jupyter's tools for exploring objects and methods will also be useful: the `?` and `??` operators, and tab autocompletion."
    ]