@@ -90,7 +90,7 @@ Create a Python function to read in data from a given path and calculate the
9090average value of a given variable name.
9191
9292``` python
93- # Example use
93+ # Example
9494avg_chloride_results = calculate_avg_value(data, " chlorides"
9595```
9696
@@ -108,6 +108,7 @@ one of the four variables we're interested in:
108108- Alcohol
109109
110110``` python
111+ # Example
111112wine_paths = [" white_wine_good.csv" ... ]
112113avg_values = find_average_wines(wine_paths)
113114```
@@ -122,6 +123,7 @@ files. Save your dictionaries as JavaScript Object Notation (JSON) files.
122123Use the built-in ` json ` Python package. Here's a hint on using it.
123124
124125``` python
126+ # Example on using the json package
125127import json
126128
127129your_dictionary = {" some_date" " date"
@@ -136,14 +138,13 @@ Save your four results into a directory `results`.
136138** Challenge**
137139
138140You want to automate everything as much as possible, so you want to create a
139- Makefile to make everything.
140- 141+ Makefile to make everything. There are two Make rule: ` all ` and ` clean ` .
141142
142143``` shell
143144# Run the entire analysis
144145make all
145146
146- # Remove all downloaded and intermediate files from data/, download/, results/
147+ # Remove all downloaded and created files from data/, download/, results/
147148make clean
148149```
149150
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