From 5ec558eed235176be9a2e7b8ab5b56f54bc6263d Mon Sep 17 00:00:00 2001
From: Egor Tensin <Egor.Tensin@gmail.com>
Date: Sat, 18 Jun 2016 06:22:54 +0300
Subject: README update

---
 README.md | 36 ++++++++++++++++++++----------------
 1 file changed, 20 insertions(+), 16 deletions(-)

diff --git a/README.md b/README.md
index 3243fb8..50202de 100644
--- a/README.md
+++ b/README.md
@@ -89,22 +89,26 @@ You can change that by supplying either `date` (to group by dates) or `weekday`
 For example (assuming that both Jane and Joe spent their time online on Friday,
 June 17, 2016).
 
-    > online_duration.py --output-format json --grouping date db.csv
-    [
-       {
-          "date": "2016-06-17",
-          "duration": "1:47:17"
-       }
-    ]
-
-    > online_duration.py --output-format csv --grouping weekday db.csv
-    Monday,0:00:00
-    Tuesday,0:00:00
-    Wednesday,0:00:00
-    Thursday,0:00:00
-    Friday,1:47:17
-    Saturday,0:00:00
-    Sunday,0:00:00
+```
+> online_duration.py --output-format json --grouping date db.csv
+[
+   {
+      "date": "2016-06-17",
+      "duration": "1:47:17"
+   }
+]
+```
+
+```
+> online_duration.py --output-format csv --grouping weekday db.csv
+Monday,0:00:00
+Tuesday,0:00:00
+Wednesday,0:00:00
+Thursday,0:00:00
+Friday,1:47:17
+Saturday,0:00:00
+Sunday,0:00:00
+```
 
 In my opinion, the script's most useful feature is the ability to easily create
 plots that represent the text data (like in the examples above).
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