minor edits

Author: tomvannuenen

lessons/3_Project.ipynb

@@ -188,9 +188,9 @@
    "source": [
     "🔔 **Question**: Let's take a look at the final data frame.\n",
     "\n",
-    "1. How many rows and columns are there in the total dataframe?\n",
+    "1. <span style=\"color:purple\"> How many rows and columns are there in the concatenated DataFrame?</span>\n",
     "2. How many numeric columns are there in the dataset?\n",
-    "3. What data type are the values in the `poverty_level` column?"
+    "3. What data type are the values in the `poverty_level` column?\n"
    ]
   },
   {
@@ -259,7 +259,7 @@
     "## 🥊 Challenge 4: Count Values\n",
     "The first thing we will want to do is count values of  some features. \n",
     "1. Run `value_counts()` on the `poverty_level` column. \n",
-    "2. Look at the [documentation](https://pandas.pydata.org/docs/reference/api/pandas.Series.value_counts.html) to see how you can normalize the output of `value_counts()`."
+    "2. <span style=\"color:purple\"> Look through the [documentation](https://pandas.pydata.org/docs/reference/api/pandas.Series.value_counts.html) and **normalize** the output of `value_counts()`.</span>"
    ]
   },
   {
@@ -344,10 +344,10 @@
    "source": [
     "## 🥊 Challenge 8: Bar Plot of Value Counts\n",
     "\n",
-    "Finally, let's create our bar plots. Fill in the blanks below, following the steps.\n",
+    "Finally, let's create our bar plots. Fill in the blanks below, following the steps. \n",
     "\n",
     "1. Run a **normalized** `value_counts()` on the `general_health` column of `df_above`.\n",
-    "2. Run `plot()` on the output of the resulting DataFrame. Enter the values for two arguments: `kind` must be set to `bar`, and `alpha` must be set to `.5`."
+    "2. Run `plot()` on the output of the resulting DataFrame. Enter the values for two arguments: `kind` must be set to `bar`, and `alpha` must be set to `.5`.\n"
    ]
   },
   {
@@ -363,6 +363,13 @@
     "df_below['general_health'].value_counts(normalize=True).plot(kind=..., alpha=...,color='maroon');"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "🔔 <span style=\"color:purple\"> **Question**: What is the `alpha` parameter doing? Read through the [documentation](https://pandas.pydata.org/docs/user_guide/visualization.html) to find out.</span>"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},

solutions/3_Project.ipynb

@@ -266,7 +266,7 @@
     "## 🥊 Challenge 4: Count Values\n",
     "The first thing we will want to do is count values of  some features. \n",
     "1. Run `value_counts()` on the `poverty_level` column. \n",
-    "2. Look at the [documentation](https://pandas.pydata.org/docs/reference/api/pandas.Series.value_counts.html) to see how you can normalize the output of `value_counts()`."
+    "2. Look through the [documentation](https://pandas.pydata.org/docs/reference/api/pandas.Series.value_counts.html) and **normalize** the output of `value_counts()`."
    ]
   },
   {