README update

1 files changed, 45 insertions, 31 deletions

diff --git a/docs/online_duration.md b/docs/online_duration.md
index d020662..7ca7c86 100644
--- a/docs/online_duration.md
+++ b/docs/online_duration.md
@@ -8,12 +8,14 @@ Usage
 
 Run from the top-level directory using `python -m`:
 
-    > python -m bin.online_duration -h
-    usage: online_duration.py [-h] [--grouping {user,date,weekday,hour}]
-                              [--input-format {csv,log,null}]
-                              [--output-format {csv,json,plot}] [--from DATE_FROM]
-                              [--to DATE_TO]
-                              input [output]
+```
+> python -m bin.online_duration -h
+usage: online_duration.py [-h] [--grouping {user,date,weekday,hour}]
+                          [--input-format {csv,log,null}]
+                          [--output-format {csv,json,plot}] [--from DATE_FROM]
+                          [--to DATE_TO]
+                          input [output]
+```
 
 This script additionally requires [matplotlib] to be installed.
 
@@ -22,9 +24,11 @@ amount of time people spent online.
 For example (assuming the database in "db.csv" was generated by
 [track_status.py] before):
 
-    > python -m bin.online_duration db.csv
-    89497105,John,Smith,john.smith,0:12:31
-    3698577,Jane,Smith,jane.smith,1:34:46
+```
+> python -m bin.online_duration db.csv
+89497105,John,Smith,john.smith,0:12:31
+3698577,Jane,Smith,jane.smith,1:34:46
+```
 
 In the example above, "John Smith" and "Jane Smith" spent approx. 13 and 95
 minutes online respectively.
@@ -32,23 +36,25 @@ minutes online respectively.
 The output format is CSV (comma-separated values) by default.
 You can also get a JSON document:
 
-    > python -m bin.online_duration --output-format json db.csv
-    [
-       {
-          "uid": 89497105,
-          "first_name": "John",
-          "last_name": "Smith",
-          "domain": "john.smith",
-          "duration": "0:12:31"
-       },
-       {
-          "uid": 3698577,
-          "first_name": "Jane",
-          "last_name": "Smith",
-          "domain": "jane.smith",
-          "duration": "1:34:46"
-       }
-    ]
+```
+> python -m bin.online_duration --output-format json db.csv
+[
+   {
+      "uid": 89497105,
+      "first_name": "John",
+      "last_name": "Smith",
+      "domain": "john.smith",
+      "duration": "0:12:31"
+   },
+   {
+      "uid": 3698577,
+      "first_name": "Jane",
+      "last_name": "Smith",
+      "domain": "jane.smith",
+      "duration": "1:34:46"
+   }
+]
+```
 
 The durations are calculated on a per-user basis by default.
 You can change that by supplying either `date` (to group by dates), `weekday`
@@ -106,24 +112,32 @@ Sunday,0:00:00
 23:00:00,0:00:00
 ```
 
-In my opinion, the script's most useful feature is the ability to easily create
+In my opinion, the script's most useful feature is its ability to easily create
 plots that represent this data (like in the examples above).
 To produce a plot, pass `plot` as the `--output-format` parameter value and add
 a file path to write the image to.
 
-    > python -m bin.online_duration --output-format plot db.csv user.png
+```
+> python -m bin.online_duration --output-format plot db.csv user.png
+```
 
 ![user.png]
 
-    > python -m bin.online_duration --output-format plot --grouping date db.csv date.png
+```
+> python -m bin.online_duration --output-format plot --grouping date db.csv date.png
+```
 
 ![date.png]
 
-    > python -m bin.online_duration --output-format plot --grouping weekday db.csv weekday.png
+```
+> python -m bin.online_duration --output-format plot --grouping weekday db.csv weekday.png
+```
 
 ![weekday.png]
 
-    > python -m bin.online_duration --output-format plot --grouping hour db.csv hour.png
+```
+> python -m bin.online_duration --output-format plot --grouping hour db.csv hour.png
+```
 
 ![hour.png]