Fix typo in categorical data notebook

pitmonticone · pitmonticone · commit 9b597812d815 · 2023-05-14T15:43:03.000+02:00
diff --git a/categorical-data.ipynb b/categorical-data.ipynb
@@ -54,7 +54,7 @@
     "\n",
     "- they can keep track even when elements of the category isn't present, which can sometimes be as interesting as when they are (imagine you find no-one from a particular school goes to university)\n",
     "- they can use vastly less of your computer's memory than encoding the same information in other ways\n",
-    "- they can be used efficienctly with modelling packages, where they will be recognised as potential 'dummy variables', or with plotting packages, which will treat them as discrete values\n",
+    "- they can be used efficiently with modelling packages, where they will be recognised as potential 'dummy variables', or with plotting packages, which will treat them as discrete values\n",
     "- you can order them (for example, \"neutral\", \"agree\", \"strongly agree\")\n",
     "\n",
     "All values of categorical data for a **pandas** column are either in the given categories or take the value `np.nan`. \n",
