Update Analysis-1.md

Author: meng-kiat

docs/_analysis/Analysis-1.md

@@ -41,24 +41,30 @@ To clean this data, we will use Riot's static JSON data source (Data Dragon) to
 
 ![flatten](/assets/images/tft1/flatten.png)
 
-<pre> '''#units
+{% highlight ruby %}
+#units
 with open("tft-champion-minus.json") as json_file:
     json_data = json.load(json_file)
 
 df_unit = pd.DataFrame([
     [value["id"], value["name"]] for value in json_data.values()
-],columns=["id","name"])''' </pre>
+],columns=["id","name"])
+{% endhighlight %}
 
 
 After exporting these as csv files, we imported them into MySQL for querying to merge and clean the tables.
 
-<pre> ```select * from df_augments; ``` </pre>
+{% highlight ruby %}
+select * from df_augments; 
+{% endhighlight %}
 
 ![uncleaned](/assets/images/tft1/uncleaned.png)
 
-<pre> ```### Cleaned Augments
+{% highlight ruby %}
+### Cleaned Augments
 select match_number, participant_placement, name, CASE WHEN da.participant_placement = 1 THEN 1 ELSE 0 END as First
-from df_augments da left join df_augment_static das on da.participant_augments = das.id;``` </pre>
+from df_augments da left join df_augment_static das on da.participant_augments = das.id;
+{% endhighlight %}
 
 ![cleaned](/assets/images/tft1/cleaned.png)