#51 replace Paris with Buenos Aires in example

Author: justb4

workshop/jupyter/content/notebooks/04-vector-data.ipynb

@@ -824,7 +824,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Or assemble and plot all countries from the African continent."
+    "Or assemble and plot all countries from the South American continent."
    ]
   },
   {
@@ -833,7 +833,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "africa = countries[countries['CONTINENT'] == 'Africa']"
+    "south_america = countries[countries['CONTINENT'] == 'South America']"
    ]
   },
   {
@@ -842,7 +842,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "africa.plot()"
+    "south_america.plot()"
    ]
   },
   {
@@ -853,7 +853,7 @@
     "\n",
     "We can apply data filtering in GeoPandas based on spatial relationships.\n",
     "\n",
-    "For example, if we call the `contains` method on the world dataset with the `paris` point, it will do this spatial check for each country in the `countries` dataframe:"
+    "For example, if we call the `contains` method on the world dataset with the `Buenos Aires` point, it will do this spatial check for each country in the `countries` dataframe:"
    ]
   },
   {
@@ -871,7 +871,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "paris = cities.loc[cities['NAME'] == 'Paris', 'geometry'].squeeze()"
+    "buenos_aires = cities.loc[cities['NAME'] == 'Buenos Aires', 'geometry'].squeeze()"
    ]
   },
   {
@@ -880,14 +880,14 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "countries.contains(paris)"
+    "countries.contains(buenos_aires)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Because the above gives us a boolean result, we can use that to filter the dataframe:"
+    "Because the above gives us a boolean result, we can use that result to filter the dataframe, to display its country:"
    ]
   },
   {
@@ -896,7 +896,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "countries[countries.contains(paris)]"
+    "countries[countries.contains(buenos_aires)]"
    ]
   },
   {