Code update

Author: clair513

Seaborn - Scatter Plot & Joint Plot.ipynb

@@ -513,7 +513,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We already aware of the scattered distribution here so let us focus on what we have at top at and right spines. By the way, if we wish to reduce the size of scattered dots in our plot, we may chose to add **sizes** parameter as a *Tuple* like `sns.jointplot(x=\"total_bill\", y=\"tip\", data=tips, color=tableau_20[7], kind=\"scatter\", sizes=(20,0))`. These spines represent [Gaussian distribution](https://en.wikipedia.org/wiki/Normal_distribution) of a **sample space**, which in our case comprises of *Total bill* and associated *tips* from our dataset. Let us fit the **Density curve** on top of it, that we had observed in the introductory lectures as well and while we do that, simultaneously we shall also switch from scattered distribution to something different:"
+    "We already aware of the scattered distribution here so let us focus on what we have at top at and right spines. By the way, if we wish to reduce the size of scattered dots in our plot, we may chose to add **sizes** parameter as a *Tuple* like **`sns.jointplot(x=\"total_bill\", y=\"tip\", data=tips, color=tableau_20[7], kind=\"scatter\", sizes=(20,0))`**. These spines represent [Gaussian distribution](https://en.wikipedia.org/wiki/Normal_distribution) of a **sample space**, which in our case comprises of *Total bill* and associated *tips* from our dataset. Let us fit the **Density curve** on top of it, that we had observed in the introductory lectures as well and while we do that, simultaneously we shall also switch from scattered distribution to something different:"
    ]
   },
   {