small edits to data viz

Author: luisesanmartin

1-foundations/4-api-and-dataviz/foundations-s4-dataviz.ipynb

@@ -38,8 +38,6 @@
    "source": [
     "import pandas as pd\n",
     "pd.options.mode.chained_assignment = None\n",
-    "import matplotlib.pyplot as plt\n",
-    "import seaborn as sns\n",
     "import wbgapi as wb"
    ]
   },
@@ -63,6 +61,7 @@
     "- Allows low-level customization of plots\n",
     "- \"Wordy\" syntax, can get quite complex easily\n",
     "- Very popular in scientific programming\n",
+    "- Ugly aesthetic defaults\n",
     "\n",
     "Remember this \"picture\"? it was actually a plot created with `matplotlib`."
    ]
@@ -162,8 +161,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "y_data = df[df['Country']=='Mexico']['Population'] / 1000000 # x-axis data: population in millions\n",
-    "x_data = df[df['Country']=='Mexico']['year']                 # y-axis data: years we have data for Mexico"
+    "y_data = df[df['Country']=='Mexico']['Population'] / 1000000 # y-axis data: population in millions\n",
+    "x_data = df[df['Country']=='Mexico']['year']                 # x-axis data: years we have data for Mexico"
    ]
   },
   {
@@ -173,6 +172,15 @@
     "## Using `matplotlib`"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -232,6 +240,15 @@
     "## Using `seaborn`"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import seaborn as sns"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -275,10 +292,10 @@
    "source": [
     "A few details to note:\n",
     "\n",
-    "- For this example we defined the x and y-axis data as Pandas series, but they can also be lists (or containers) with numbers or NumPy series\n",
+    "- For this example we defined the x and y-axis data as Pandas series, but they can also be lists (or containers) with numbers\n",
     "- Seaborn accepts two methods to plot visualizations:\n",
     "    + You either pass the x and y-axis data in the arguments `x`, `y`\n",
-    "    + Or you define a Pandas dataframe input in the arugment `data` and set `x` and `y` equal to the column names you take the x-axis and y-axis data from\n",
+    "    + Or you define a Pandas dataframe input in the argument `data` and set `x` and `y` equal to the column names you take the x-axis and y-axis data from\n",
     "- Compare the syntax of both libraries to get the same result:\n",
     "\n",
     "```\n",
@@ -306,7 +323,7 @@
     "# Line plots\n",
     "\n",
     "- Line plots have a very similar syntax than bar plots in `matplotlib`, but they use the function `plt.plot()` instead of `plt.barplot()`\n",
-    "- In `seaborn`, the function is `sns.linelplot()`\n",
+    "- In `seaborn`, the function is `sns.lineplot()`\n",
     "\n",
     "## `matplotlib`"
    ]