Update analyze-us-census-data-with-scipy.mdx

Author: sonnynomnom

projects/analyze-us-census-data-with-scipy/analyze-us-census-data-with-scipy.mdx

@@ -140,6 +140,7 @@ Additionally, traditional A/B testing typically utilizes one of two methods: eit
 
 For this tutorial, we'll be running t-tests.
 
+
 ## Getting Started
 
 To get started, you'll need the following [datasets](https://drive.google.com/drive/folders/1xO33dvJV_RySl77y2W-7lxIvBW7PUoEg?usp=sharing) and a copy of [this Google Colab notebook](https://colab.research.google.com/drive/1GWiNXPVuRTORqEBNFV7zpTGZD_yeprNt?usp=sharing).
@@ -165,6 +166,7 @@ Next, we'll load the CSV files to their own dataframes using pandas.
 c = ("/content/moved_same_state.csv")
 v = ("/content/moved_between_states.csv")
 ```
+
 ```python
 control = pd.read_csv(c)
 variant = pd.read_csv(v)
@@ -173,6 +175,7 @@ variant = pd.read_csv(v)
 #variant.head()
 ```
 
+
 ## Let's Explore
 
 Let's begin by manually creating an empty dataframe (table) based on each level of detail (County, State, Division, and Region) listed by the U.S. Census.