Added minor readability edit

datasciencecampus · Jul 25, 2022 · cadd5a7 · cadd5a7
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diff --git a/Hackathon_Sessions/Session2_Pandas_Python/CnC_PandasDfs.ipynb b/Hackathon_Sessions/Session2_Pandas_Python/CnC_PandasDfs.ipynb
@@ -105,8 +105,11 @@
     "Now that you have a good sense of the data another great thing to do is start to visualise it. This can be a really useful way of seeing trends in your data and Pandas has some in built functionality for this.\n",
     "\n",
     "Your challenge for this round is to use pandas functionality to produce the following graph:\n",
+    "\n",
     "1) A box plot that shows the amount of coffee drank per week by department (Make sure you try and improve the graph as much as possible by checking out the functional arguments of the boxplot() method)\n",
+    "\n",
     "Then using any visualisation package (e.g. matplotlib) you want, produce:\n",
+    "\n",
     "2) A scatter graph of the relationship between the number of coffees drank per week (NumCoffee_Pw) and the number lines of code someone writes per week (NumLinesCode_Pw), colour coded by department.  \n",
     "\n",
     "\n",

diff --git a/Hackathon_Sessions/Session2_Pandas_Python/CnC_Pandas_answers.ipynb b/Hackathon_Sessions/Session2_Pandas_Python/CnC_Pandas_answers.ipynb
@@ -305,8 +305,11 @@
     "Now that you have a good sense of the data another great thing to do is start to visualise it. This can be a really useful way of seeing trends in your data and Pandas has some in built functionality for this.\n",
     "\n",
     "Your challenge for this round is to use pandas functionality to produce the following graph:\n",
+    "\n",
     "1) A box plot that shows the amount of coffee drank per week by department (Make sure you try and improve the graph as much as possible by checking out the functional arguments of the boxplot() method)\n",
+    "\n",
     "Then using any visualisation package (e.g. matplotlib) you want, produce:\n",
+    "\n",
     "2) A scatter graph of the relationship between the number of coffees drank per week (NumCoffee_Pw) and the number lines of code someone writes per week (NumLinesCode_Pw), colour coded by department.  \n",
     "\n",
     "\n",