Minor improvements to the examples in the README

Author: Enric Sala

README.md

@@ -73,11 +73,11 @@ p2 = Point('weather') ...
     .time(datetime('now', 'TimeZone', 'local'));
 
 % Create an array of points
-array = [p1, p2, etc];
+array = [p3, p4, etc];
 
 % Save all the points
 influxdb.writer() ...
-    .append(p1, p2) ...
+    .append(p1, p2, etc) ...
     .append(array) ...
     .execute();
 ```
@@ -86,20 +86,20 @@ It is possible to save *large* amounts of samples using the `Series` builder:
 
 ```matlab
 % Create a series with many points
-series = Series('weather') ...
+series1 = Series('weather') ...
     .tags('city', 'stockholm', 'country', 'sweden') ...
-    .fields('temperature', [10.5, 11.2, 9.7]) ...
-    .time(datetime('now', 'TimeZone', 'local') - [0, 1, 2]);
+    .fields('temperature', [10.5; 11.2; 9.7]) ...
+    .time(datetime('now', 'TimeZone', 'local') - [0; 1; 2] / 24);
 
 % Create a series from an existing timetable
 ttable = timetable(time, variables, etc);
-series = Series('weather') ...
+series2 = Series('weather') ...
     .tags('city', 'helsinki', 'country', 'finland') ...
     .import(ttable);
 
 % Save the series
 influxdb.writer() ...
-    .append(series, etc) ...
+    .append(series1, series2) ...
     .execute();
 ```